Improved Ensemble parameter-efficiency with Packed-Ensembles

This tutorial is adapted from a notebook part of a lecture given at the `Helmholtz AI Conference <https://haicon24.de/>`_ by Sebastian Starke, Peter Steinbach, Gianni Franchi, and Olivier Laurent.

In this notebook will work on the MNIST dataset that was introduced by Corinna Cortes, Christopher J.C. Burges, and later modified by Yann LeCun in the foundational paper:

• Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. “Gradient-based learning applied to document recognition.” Proceedings of the IEEE..

The MNIST dataset consists of 70 000 images of handwritten digits from 0 to 9. The images are grayscale and 28x28-pixel sized. The task is to classify the images into their respective digits. The dataset can be automatically downloaded using the torchvision library.

In this notebook, we will train a model and an ensemble on this task and evaluate their performance. The performance will consist in the following metrics: - Accuracy: the proportion of correctly classified images, - Brier score: a measure of the quality of the predicted probabilities, - Calibration error: a measure of the calibration of the predicted probabilities, - Negative Log-Likelihood: the value of the loss on the test set.

Throughout this notebook, we abstract the training and evaluation process using PyTorch Lightning and TorchUncertainty.

Similarly to keras for tensorflow, PyTorch Lightning is a high-level interface for PyTorch that simplifies the training and evaluation process using a Trainer. TorchUncertainty is partly built on top of PyTorch Lightning and provides tools to train and evaluate models with uncertainty quantification.

TorchUncertainty includes datamodules that handle the data loading and preprocessing. We don’t use them here for tutorial purposes.

1. Download, instantiate and visualize the datasets

The dataset is automatically downloaded using torchvision. We then visualize a few images to see a bit what we are working with.

# Create the transforms for the images

import torch
import torchvision.transforms as T

# We set the number of epochs to some low value for the sake of time
max_epochs = 2

train_transform = T.Compose(
    [
        T.ToTensor(),
        # We perform random cropping as data augmentation
        T.RandomCrop(28, padding=4),
        # As for the MNIST1d dataset, we normalize the data
        T.Normalize((0.1307,), (0.3081,)),
    ]
)
test_transform = T.Compose(
    [
        T.Grayscale(num_output_channels=1),
        T.ToTensor(),
        T.CenterCrop(28),
        T.Normalize((0.1307,), (0.3081,)),
    ]
)

# Download and instantiate the dataset
from torch.utils.data import Subset
from torchvision.datasets import MNIST, FashionMNIST

train_data = MNIST(
    root="./data/", download=True, train=True, transform=train_transform
)
test_data = MNIST(root="./data/", train=False, transform=test_transform)
# We only take the first 10k images to have the same number of samples as the test set using torch Subsets
ood_data = Subset(
    FashionMNIST(root="./data/", download=True, transform=test_transform),
    indices=range(10000),
)

# Create the corresponding dataloaders
from torch.utils.data import DataLoader

train_dl = DataLoader(train_data, batch_size=32, shuffle=True)
test_dl = DataLoader(test_data, batch_size=32, shuffle=False)
ood_dl = DataLoader(ood_data, batch_size=32, shuffle=False)

Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-images-idx3-ubyte.gz
Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-images-idx3-ubyte.gz to ./data/FashionMNIST/raw/train-images-idx3-ubyte.gz

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Extracting ./data/FashionMNIST/raw/train-images-idx3-ubyte.gz to ./data/FashionMNIST/raw

Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-labels-idx1-ubyte.gz
Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-labels-idx1-ubyte.gz to ./data/FashionMNIST/raw/train-labels-idx1-ubyte.gz

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Extracting ./data/FashionMNIST/raw/train-labels-idx1-ubyte.gz to ./data/FashionMNIST/raw

Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-images-idx3-ubyte.gz
Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-images-idx3-ubyte.gz to ./data/FashionMNIST/raw/t10k-images-idx3-ubyte.gz

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Extracting ./data/FashionMNIST/raw/t10k-images-idx3-ubyte.gz to ./data/FashionMNIST/raw

Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-labels-idx1-ubyte.gz
Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-labels-idx1-ubyte.gz to ./data/FashionMNIST/raw/t10k-labels-idx1-ubyte.gz

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Extracting ./data/FashionMNIST/raw/t10k-labels-idx1-ubyte.gz to ./data/FashionMNIST/raw

You could replace all this cell by simply loading the MNIST datamodule from TorchUncertainty. Now, let’s visualize a few images from the dataset. For this task, we use the viz_data dataset that applies no transformation to the images.

# Datasets without transformation to visualize the unchanged data
viz_data = MNIST(root="./data/", train=False)
ood_viz_data = FashionMNIST(root="./data/", download=True)

print("In distribution data:")
viz_data[0][0]

In distribution data:

<PIL.Image.Image image mode=L size=28x28 at 0x7F210831A230>

print("Out of distribution data:")
ood_viz_data[0][0]

Out of distribution data:

<PIL.Image.Image image mode=L size=28x28 at 0x7F210840BC40>

2. Create & train the model

We will create a simple convolutional neural network (CNN): the LeNet model (also introduced by LeCun).

import torch.nn as nn
import torch.nn.functional as F


class LeNet(nn.Module):
    def __init__(
        self,
        in_channels: int,
        num_classes: int,
    ) -> None:
        super().__init__()
        self.conv1 = nn.Conv2d(in_channels, 6, (5, 5))
        self.conv2 = nn.Conv2d(6, 16, (5, 5))
        self.pooling = nn.AdaptiveAvgPool2d((4, 4))
        self.fc1 = nn.Linear(256, 120)
        self.fc2 = nn.Linear(120, 84)
        self.fc3 = nn.Linear(84, num_classes)

    def forward(self, x: torch.Tensor) -> torch.Tensor:
        out = F.relu(self.conv1(x))
        out = F.max_pool2d(out, 2)
        out = F.relu(self.conv2(out))
        out = F.max_pool2d(out, 2)
        out = torch.flatten(out, 1)
        out = F.relu(self.fc1(out))
        out = F.relu(self.fc2(out))
        return self.fc3(out)  # No softmax in the model!


# Instantiate the model, the images are in grayscale so the number of channels is 1
model = LeNet(in_channels=1, num_classes=10)

We now need to define the optimization recipe: - the optimizer, here the standard stochastic gradient descent (SGD) with a learning rate of 0.05 - the scheduler, here cosine annealing.

def optim_recipe(model, lr_mult: float = 1.0):
    optimizer = torch.optim.SGD(model.parameters(), lr=0.05 * lr_mult)
    scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer, T_max=10)
    return {"optimizer": optimizer, "scheduler": scheduler}

To train the model, we use TorchUncertainty, a library that we have developed to ease the training and evaluation of models with uncertainty.

Note: To train supervised classification models we most often use the cross-entropy loss. With weight-decay, minimizing this loss amounts to finding a Maximum a posteriori (MAP) estimate of the model parameters. This means that the model is trained to predict the most likely class for each input.

from torch_uncertainty.routines import ClassificationRoutine
from torch_uncertainty import TUTrainer

# Create the trainer that will handle the training
trainer = TUTrainer(accelerator="cpu", max_epochs=max_epochs)

# The routine is a wrapper of the model that contains the training logic with the metrics, etc
routine = ClassificationRoutine(
    num_classes=10,
    model=model,
    loss=nn.CrossEntropyLoss(),
    optim_recipe=optim_recipe(model),
    eval_ood=True,
)

# In practice, avoid performing the validation on the test set (if you do model selection)
trainer.fit(routine, train_dataloaders=train_dl, val_dataloaders=test_dl)

/opt/hostedtoolcache/Python/3.10.15/x64/lib/python3.10/site-packages/torchmetrics/utilities/prints.py:43: UserWarning: Metric `FPR95` will save all targets and predictions in buffer. For large datasets this may lead to large memory footprint.
  warnings.warn(*args, **kwargs)  # noqa: B028
/opt/hostedtoolcache/Python/3.10.15/x64/lib/python3.10/site-packages/lightning/pytorch/core/optimizer.py:377: Found unsupported keys in the optimizer configuration: {'scheduler'}

Sanity Checking: |          | 0/? [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.10.15/x64/lib/python3.10/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:424: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=3` in the `DataLoader` to improve performance.

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/opt/hostedtoolcache/Python/3.10.15/x64/lib/python3.10/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:424: The 'train_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=3` in the `DataLoader` to improve performance.

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Epoch 0:   2%|▏         | 43/1875 [00:00<00:23, 78.01it/s, v_num=5, train_loss=2.260]
Epoch 0:   2%|▏         | 43/1875 [00:00<00:23, 77.98it/s, v_num=5, train_loss=2.290]
Epoch 0:   2%|▏         | 44/1875 [00:00<00:23, 78.03it/s, v_num=5, train_loss=2.290]
Epoch 0:   2%|▏         | 44/1875 [00:00<00:23, 78.00it/s, v_num=5, train_loss=2.280]
Epoch 0:   2%|▏         | 45/1875 [00:00<00:23, 78.04it/s, v_num=5, train_loss=2.280]
Epoch 0:   2%|▏         | 45/1875 [00:00<00:23, 78.01it/s, v_num=5, train_loss=2.300]
Epoch 0:   2%|▏         | 46/1875 [00:00<00:23, 78.06it/s, v_num=5, train_loss=2.300]
Epoch 0:   2%|▏         | 46/1875 [00:00<00:23, 78.04it/s, v_num=5, train_loss=2.320]
Epoch 0:   3%|▎         | 47/1875 [00:00<00:23, 78.07it/s, v_num=5, train_loss=2.320]
Epoch 0:   3%|▎         | 47/1875 [00:00<00:23, 78.05it/s, v_num=5, train_loss=2.270]
Epoch 0:   3%|▎         | 48/1875 [00:00<00:23, 78.07it/s, v_num=5, train_loss=2.270]
Epoch 0:   3%|▎         | 48/1875 [00:00<00:23, 78.04it/s, v_num=5, train_loss=2.290]
Epoch 0:   3%|▎         | 49/1875 [00:00<00:23, 78.08it/s, v_num=5, train_loss=2.290]
Epoch 0:   3%|▎         | 49/1875 [00:00<00:23, 78.06it/s, v_num=5, train_loss=2.320]
Epoch 0:   3%|▎         | 50/1875 [00:00<00:23, 78.09it/s, v_num=5, train_loss=2.320]
Epoch 0:   3%|▎         | 50/1875 [00:00<00:23, 78.06it/s, v_num=5, train_loss=2.300]
Epoch 0:   3%|▎         | 51/1875 [00:00<00:23, 77.96it/s, v_num=5, train_loss=2.300]
Epoch 0:   3%|▎         | 51/1875 [00:00<00:23, 77.94it/s, v_num=5, train_loss=2.270]
Epoch 0:   3%|▎         | 52/1875 [00:00<00:23, 77.97it/s, v_num=5, train_loss=2.270]
Epoch 0:   3%|▎         | 52/1875 [00:00<00:23, 77.94it/s, v_num=5, train_loss=2.280]
Epoch 0:   3%|▎         | 53/1875 [00:00<00:23, 77.98it/s, v_num=5, train_loss=2.280]
Epoch 0:   3%|▎         | 53/1875 [00:00<00:23, 77.95it/s, v_num=5, train_loss=2.260]
Epoch 0:   3%|▎         | 54/1875 [00:00<00:23, 77.96it/s, v_num=5, train_loss=2.260]
Epoch 0:   3%|▎         | 54/1875 [00:00<00:23, 77.94it/s, v_num=5, train_loss=2.300]
Epoch 0:   3%|▎         | 55/1875 [00:00<00:23, 77.93it/s, v_num=5, train_loss=2.300]
Epoch 0:   3%|▎         | 55/1875 [00:00<00:23, 77.91it/s, v_num=5, train_loss=2.270]
Epoch 0:   3%|▎         | 56/1875 [00:00<00:23, 77.82it/s, v_num=5, train_loss=2.270]
Epoch 0:   3%|▎         | 56/1875 [00:00<00:23, 77.79it/s, v_num=5, train_loss=2.280]
Epoch 0:   3%|▎         | 57/1875 [00:00<00:23, 77.78it/s, v_num=5, train_loss=2.280]
Epoch 0:   3%|▎         | 57/1875 [00:00<00:23, 77.75it/s, v_num=5, train_loss=2.300]
Epoch 0:   3%|▎         | 58/1875 [00:00<00:23, 77.78it/s, v_num=5, train_loss=2.300]
Epoch 0:   3%|▎         | 58/1875 [00:00<00:23, 77.76it/s, v_num=5, train_loss=2.310]
Epoch 0:   3%|▎         | 59/1875 [00:00<00:23, 77.79it/s, v_num=5, train_loss=2.310]
Epoch 0:   3%|▎         | 59/1875 [00:00<00:23, 77.77it/s, v_num=5, train_loss=2.280]
Epoch 0:   3%|▎         | 60/1875 [00:00<00:23, 77.80it/s, v_num=5, train_loss=2.280]
Epoch 0:   3%|▎         | 60/1875 [00:00<00:23, 77.78it/s, v_num=5, train_loss=2.300]
Epoch 0:   3%|▎         | 61/1875 [00:00<00:23, 77.80it/s, v_num=5, train_loss=2.300]
Epoch 0:   3%|▎         | 61/1875 [00:00<00:23, 77.78it/s, v_num=5, train_loss=2.260]
Epoch 0:   3%|▎         | 62/1875 [00:00<00:23, 77.80it/s, v_num=5, train_loss=2.260]
Epoch 0:   3%|▎         | 62/1875 [00:00<00:23, 77.78it/s, v_num=5, train_loss=2.270]
Epoch 0:   3%|▎         | 63/1875 [00:00<00:23, 77.80it/s, v_num=5, train_loss=2.270]
Epoch 0:   3%|▎         | 63/1875 [00:00<00:23, 77.78it/s, v_num=5, train_loss=2.300]
Epoch 0:   3%|▎         | 64/1875 [00:00<00:23, 77.74it/s, v_num=5, train_loss=2.300]
Epoch 0:   3%|▎         | 64/1875 [00:00<00:23, 77.72it/s, v_num=5, train_loss=2.280]
Epoch 0:   3%|▎         | 65/1875 [00:00<00:23, 77.72it/s, v_num=5, train_loss=2.280]
Epoch 0:   3%|▎         | 65/1875 [00:00<00:23, 77.69it/s, v_num=5, train_loss=2.280]
Epoch 0:   4%|▎         | 66/1875 [00:00<00:23, 77.69it/s, v_num=5, train_loss=2.280]
Epoch 0:   4%|▎         | 66/1875 [00:00<00:23, 77.67it/s, v_num=5, train_loss=2.250]
Epoch 0:   4%|▎         | 67/1875 [00:00<00:23, 77.69it/s, v_num=5, train_loss=2.250]
Epoch 0:   4%|▎         | 67/1875 [00:00<00:23, 77.67it/s, v_num=5, train_loss=2.250]
Epoch 0:   4%|▎         | 68/1875 [00:00<00:23, 77.70it/s, v_num=5, train_loss=2.250]
Epoch 0:   4%|▎         | 68/1875 [00:00<00:23, 77.68it/s, v_num=5, train_loss=2.290]
Epoch 0:   4%|▎         | 69/1875 [00:00<00:23, 77.71it/s, v_num=5, train_loss=2.290]
Epoch 0:   4%|▎         | 69/1875 [00:00<00:23, 77.69it/s, v_num=5, train_loss=2.260]
Epoch 0:   4%|▎         | 70/1875 [00:00<00:23, 77.71it/s, v_num=5, train_loss=2.260]
Epoch 0:   4%|▎         | 70/1875 [00:00<00:23, 77.69it/s, v_num=5, train_loss=2.290]
Epoch 0:   4%|▍         | 71/1875 [00:00<00:23, 77.72it/s, v_num=5, train_loss=2.290]
Epoch 0:   4%|▍         | 71/1875 [00:00<00:23, 77.70it/s, v_num=5, train_loss=2.270]
Epoch 0:   4%|▍         | 72/1875 [00:00<00:23, 77.70it/s, v_num=5, train_loss=2.270]
Epoch 0:   4%|▍         | 72/1875 [00:00<00:23, 77.68it/s, v_num=5, train_loss=2.270]
Epoch 0:   4%|▍         | 73/1875 [00:00<00:23, 77.69it/s, v_num=5, train_loss=2.270]
Epoch 0:   4%|▍         | 73/1875 [00:00<00:23, 77.67it/s, v_num=5, train_loss=2.270]
Epoch 0:   4%|▍         | 74/1875 [00:00<00:23, 77.69it/s, v_num=5, train_loss=2.270]
Epoch 0:   4%|▍         | 74/1875 [00:00<00:23, 77.68it/s, v_num=5, train_loss=2.270]
Epoch 0:   4%|▍         | 75/1875 [00:00<00:23, 77.71it/s, v_num=5, train_loss=2.270]
Epoch 0:   4%|▍         | 75/1875 [00:00<00:23, 77.69it/s, v_num=5, train_loss=2.240]
Epoch 0:   4%|▍         | 76/1875 [00:00<00:23, 77.72it/s, v_num=5, train_loss=2.240]
Epoch 0:   4%|▍         | 76/1875 [00:00<00:23, 77.70it/s, v_num=5, train_loss=2.260]
Epoch 0:   4%|▍         | 77/1875 [00:00<00:23, 77.74it/s, v_num=5, train_loss=2.260]
Epoch 0:   4%|▍         | 77/1875 [00:00<00:23, 77.72it/s, v_num=5, train_loss=2.250]
Epoch 0:   4%|▍         | 78/1875 [00:01<00:23, 77.75it/s, v_num=5, train_loss=2.250]
Epoch 0:   4%|▍         | 78/1875 [00:01<00:23, 77.73it/s, v_num=5, train_loss=2.270]
Epoch 0:   4%|▍         | 79/1875 [00:01<00:23, 77.76it/s, v_num=5, train_loss=2.270]
Epoch 0:   4%|▍         | 79/1875 [00:01<00:23, 77.74it/s, v_num=5, train_loss=2.270]
Epoch 0:   4%|▍         | 80/1875 [00:01<00:23, 77.77it/s, v_num=5, train_loss=2.270]
Epoch 0:   4%|▍         | 80/1875 [00:01<00:23, 77.75it/s, v_num=5, train_loss=2.280]
Epoch 0:   4%|▍         | 81/1875 [00:01<00:23, 77.78it/s, v_num=5, train_loss=2.280]
Epoch 0:   4%|▍         | 81/1875 [00:01<00:23, 77.77it/s, v_num=5, train_loss=2.280]
Epoch 0:   4%|▍         | 82/1875 [00:01<00:23, 77.76it/s, v_num=5, train_loss=2.280]
Epoch 0:   4%|▍         | 82/1875 [00:01<00:23, 77.75it/s, v_num=5, train_loss=2.290]
Epoch 0:   4%|▍         | 83/1875 [00:01<00:23, 77.77it/s, v_num=5, train_loss=2.290]
Epoch 0:   4%|▍         | 83/1875 [00:01<00:23, 77.76it/s, v_num=5, train_loss=2.270]
Epoch 0:   4%|▍         | 84/1875 [00:01<00:23, 77.79it/s, v_num=5, train_loss=2.270]
Epoch 0:   4%|▍         | 84/1875 [00:01<00:23, 77.77it/s, v_num=5, train_loss=2.240]
Epoch 0:   5%|▍         | 85/1875 [00:01<00:23, 77.79it/s, v_num=5, train_loss=2.240]
Epoch 0:   5%|▍         | 85/1875 [00:01<00:23, 77.78it/s, v_num=5, train_loss=2.280]
Epoch 0:   5%|▍         | 86/1875 [00:01<00:22, 77.79it/s, v_num=5, train_loss=2.280]
Epoch 0:   5%|▍         | 86/1875 [00:01<00:23, 77.78it/s, v_num=5, train_loss=2.230]
Epoch 0:   5%|▍         | 87/1875 [00:01<00:22, 77.80it/s, v_num=5, train_loss=2.230]
Epoch 0:   5%|▍         | 87/1875 [00:01<00:22, 77.79it/s, v_num=5, train_loss=2.240]
Epoch 0:   5%|▍         | 88/1875 [00:01<00:22, 77.81it/s, v_num=5, train_loss=2.240]
Epoch 0:   5%|▍         | 88/1875 [00:01<00:22, 77.79it/s, v_num=5, train_loss=2.270]
Epoch 0:   5%|▍         | 89/1875 [00:01<00:22, 77.82it/s, v_num=5, train_loss=2.270]
Epoch 0:   5%|▍         | 89/1875 [00:01<00:22, 77.80it/s, v_num=5, train_loss=2.240]
Epoch 0:   5%|▍         | 90/1875 [00:01<00:22, 77.82it/s, v_num=5, train_loss=2.240]
Epoch 0:   5%|▍         | 90/1875 [00:01<00:22, 77.81it/s, v_num=5, train_loss=2.230]
Epoch 0:   5%|▍         | 91/1875 [00:01<00:22, 77.83it/s, v_num=5, train_loss=2.230]
Epoch 0:   5%|▍         | 91/1875 [00:01<00:22, 77.82it/s, v_num=5, train_loss=2.270]
Epoch 0:   5%|▍         | 92/1875 [00:01<00:22, 77.84it/s, v_num=5, train_loss=2.270]
Epoch 0:   5%|▍         | 92/1875 [00:01<00:22, 77.83it/s, v_num=5, train_loss=2.200]
Epoch 0:   5%|▍         | 93/1875 [00:01<00:22, 77.85it/s, v_num=5, train_loss=2.200]
Epoch 0:   5%|▍         | 93/1875 [00:01<00:22, 77.84it/s, v_num=5, train_loss=2.210]
Epoch 0:   5%|▌         | 94/1875 [00:01<00:22, 77.86it/s, v_num=5, train_loss=2.210]
Epoch 0:   5%|▌         | 94/1875 [00:01<00:22, 77.84it/s, v_num=5, train_loss=2.280]
Epoch 0:   5%|▌         | 95/1875 [00:01<00:22, 77.87it/s, v_num=5, train_loss=2.280]
Epoch 0:   5%|▌         | 95/1875 [00:01<00:22, 77.85it/s, v_num=5, train_loss=2.270]
Epoch 0:   5%|▌         | 96/1875 [00:01<00:22, 77.88it/s, v_num=5, train_loss=2.270]
Epoch 0:   5%|▌         | 96/1875 [00:01<00:22, 77.87it/s, v_num=5, train_loss=2.310]
Epoch 0:   5%|▌         | 97/1875 [00:01<00:22, 77.89it/s, v_num=5, train_loss=2.310]
Epoch 0:   5%|▌         | 97/1875 [00:01<00:22, 77.88it/s, v_num=5, train_loss=2.210]
Epoch 0:   5%|▌         | 98/1875 [00:01<00:22, 77.89it/s, v_num=5, train_loss=2.210]
Epoch 0:   5%|▌         | 98/1875 [00:01<00:22, 77.88it/s, v_num=5, train_loss=2.270]
Epoch 0:   5%|▌         | 99/1875 [00:01<00:22, 77.90it/s, v_num=5, train_loss=2.270]
Epoch 0:   5%|▌         | 99/1875 [00:01<00:22, 77.89it/s, v_num=5, train_loss=2.230]
Epoch 0:   5%|▌         | 100/1875 [00:01<00:22, 77.91it/s, v_num=5, train_loss=2.230]
Epoch 0:   5%|▌         | 100/1875 [00:01<00:22, 77.90it/s, v_num=5, train_loss=2.240]
Epoch 0:   5%|▌         | 101/1875 [00:01<00:22, 77.88it/s, v_num=5, train_loss=2.240]
Epoch 0:   5%|▌         | 101/1875 [00:01<00:22, 77.87it/s, v_num=5, train_loss=2.190]
Epoch 0:   5%|▌         | 102/1875 [00:01<00:22, 77.89it/s, v_num=5, train_loss=2.190]
Epoch 0:   5%|▌         | 102/1875 [00:01<00:22, 77.88it/s, v_num=5, train_loss=2.250]
Epoch 0:   5%|▌         | 103/1875 [00:01<00:22, 77.90it/s, v_num=5, train_loss=2.250]
Epoch 0:   5%|▌         | 103/1875 [00:01<00:22, 77.88it/s, v_num=5, train_loss=2.220]
Epoch 0:   6%|▌         | 104/1875 [00:01<00:22, 77.90it/s, v_num=5, train_loss=2.220]
Epoch 0:   6%|▌         | 104/1875 [00:01<00:22, 77.89it/s, v_num=5, train_loss=2.240]
Epoch 0:   6%|▌         | 105/1875 [00:01<00:22, 77.90it/s, v_num=5, train_loss=2.240]
Epoch 0:   6%|▌         | 105/1875 [00:01<00:22, 77.89it/s, v_num=5, train_loss=2.250]
Epoch 0:   6%|▌         | 106/1875 [00:01<00:22, 77.89it/s, v_num=5, train_loss=2.250]
Epoch 0:   6%|▌         | 106/1875 [00:01<00:22, 77.87it/s, v_num=5, train_loss=2.250]
Epoch 0:   6%|▌         | 107/1875 [00:01<00:22, 77.87it/s, v_num=5, train_loss=2.250]
Epoch 0:   6%|▌         | 107/1875 [00:01<00:22, 77.86it/s, v_num=5, train_loss=2.230]
Epoch 0:   6%|▌         | 108/1875 [00:01<00:22, 77.86it/s, v_num=5, train_loss=2.230]
Epoch 0:   6%|▌         | 108/1875 [00:01<00:22, 77.84it/s, v_num=5, train_loss=2.190]
Epoch 0:   6%|▌         | 109/1875 [00:01<00:22, 77.85it/s, v_num=5, train_loss=2.190]
Epoch 0:   6%|▌         | 109/1875 [00:01<00:22, 77.84it/s, v_num=5, train_loss=2.190]
Epoch 0:   6%|▌         | 110/1875 [00:01<00:22, 77.86it/s, v_num=5, train_loss=2.190]
Epoch 0:   6%|▌         | 110/1875 [00:01<00:22, 77.84it/s, v_num=5, train_loss=2.210]
Epoch 0:   6%|▌         | 111/1875 [00:01<00:22, 77.86it/s, v_num=5, train_loss=2.210]
Epoch 0:   6%|▌         | 111/1875 [00:01<00:22, 77.85it/s, v_num=5, train_loss=2.180]
Epoch 0:   6%|▌         | 112/1875 [00:01<00:22, 77.87it/s, v_num=5, train_loss=2.180]
Epoch 0:   6%|▌         | 112/1875 [00:01<00:22, 77.86it/s, v_num=5, train_loss=2.130]
Epoch 0:   6%|▌         | 113/1875 [00:01<00:22, 77.87it/s, v_num=5, train_loss=2.130]
Epoch 0:   6%|▌         | 113/1875 [00:01<00:22, 77.85it/s, v_num=5, train_loss=2.220]
Epoch 0:   6%|▌         | 114/1875 [00:01<00:22, 77.87it/s, v_num=5, train_loss=2.220]
Epoch 0:   6%|▌         | 114/1875 [00:01<00:22, 77.86it/s, v_num=5, train_loss=2.190]
Epoch 0:   6%|▌         | 115/1875 [00:01<00:22, 77.87it/s, v_num=5, train_loss=2.190]
Epoch 0:   6%|▌         | 115/1875 [00:01<00:22, 77.86it/s, v_num=5, train_loss=2.200]
Epoch 0:   6%|▌         | 116/1875 [00:01<00:22, 77.88it/s, v_num=5, train_loss=2.200]
Epoch 0:   6%|▌         | 116/1875 [00:01<00:22, 77.87it/s, v_num=5, train_loss=2.160]
Epoch 0:   6%|▌         | 117/1875 [00:01<00:22, 77.89it/s, v_num=5, train_loss=2.160]
Epoch 0:   6%|▌         | 117/1875 [00:01<00:22, 77.88it/s, v_num=5, train_loss=2.190]
Epoch 0:   6%|▋         | 118/1875 [00:01<00:22, 77.89it/s, v_num=5, train_loss=2.190]
Epoch 0:   6%|▋         | 118/1875 [00:01<00:22, 77.88it/s, v_num=5, train_loss=2.150]
Epoch 0:   6%|▋         | 119/1875 [00:01<00:22, 77.90it/s, v_num=5, train_loss=2.150]
Epoch 0:   6%|▋         | 119/1875 [00:01<00:22, 77.89it/s, v_num=5, train_loss=2.180]
Epoch 0:   6%|▋         | 120/1875 [00:01<00:22, 77.91it/s, v_num=5, train_loss=2.180]
Epoch 0:   6%|▋         | 120/1875 [00:01<00:22, 77.90it/s, v_num=5, train_loss=2.120]
Epoch 0:   6%|▋         | 121/1875 [00:01<00:22, 77.92it/s, v_num=5, train_loss=2.120]
Epoch 0:   6%|▋         | 121/1875 [00:01<00:22, 77.91it/s, v_num=5, train_loss=2.120]
Epoch 0:   7%|▋         | 122/1875 [00:01<00:22, 77.93it/s, v_num=5, train_loss=2.120]
Epoch 0:   7%|▋         | 122/1875 [00:01<00:22, 77.91it/s, v_num=5, train_loss=2.170]
Epoch 0:   7%|▋         | 123/1875 [00:01<00:22, 77.93it/s, v_num=5, train_loss=2.170]
Epoch 0:   7%|▋         | 123/1875 [00:01<00:22, 77.92it/s, v_num=5, train_loss=2.190]
Epoch 0:   7%|▋         | 124/1875 [00:01<00:22, 77.94it/s, v_num=5, train_loss=2.190]
Epoch 0:   7%|▋         | 124/1875 [00:01<00:22, 77.93it/s, v_num=5, train_loss=2.010]
Epoch 0:   7%|▋         | 125/1875 [00:01<00:22, 77.95it/s, v_num=5, train_loss=2.010]
Epoch 0:   7%|▋         | 125/1875 [00:01<00:22, 77.94it/s, v_num=5, train_loss=2.130]
Epoch 0:   7%|▋         | 126/1875 [00:01<00:22, 77.95it/s, v_num=5, train_loss=2.130]
Epoch 0:   7%|▋         | 126/1875 [00:01<00:22, 77.94it/s, v_num=5, train_loss=2.110]
Epoch 0:   7%|▋         | 127/1875 [00:01<00:22, 77.96it/s, v_num=5, train_loss=2.110]
Epoch 0:   7%|▋         | 127/1875 [00:01<00:22, 77.95it/s, v_num=5, train_loss=2.090]
Epoch 0:   7%|▋         | 128/1875 [00:01<00:22, 77.96it/s, v_num=5, train_loss=2.090]
Epoch 0:   7%|▋         | 128/1875 [00:01<00:22, 77.95it/s, v_num=5, train_loss=2.090]
Epoch 0:   7%|▋         | 129/1875 [00:01<00:22, 77.96it/s, v_num=5, train_loss=2.090]
Epoch 0:   7%|▋         | 129/1875 [00:01<00:22, 77.95it/s, v_num=5, train_loss=2.130]
Epoch 0:   7%|▋         | 130/1875 [00:01<00:22, 77.97it/s, v_num=5, train_loss=2.130]
Epoch 0:   7%|▋         | 130/1875 [00:01<00:22, 77.96it/s, v_num=5, train_loss=2.130]
Epoch 0:   7%|▋         | 131/1875 [00:01<00:22, 77.97it/s, v_num=5, train_loss=2.130]
Epoch 0:   7%|▋         | 131/1875 [00:01<00:22, 77.96it/s, v_num=5, train_loss=2.100]
Epoch 0:   7%|▋         | 132/1875 [00:01<00:22, 77.98it/s, v_num=5, train_loss=2.100]
Epoch 0:   7%|▋         | 132/1875 [00:01<00:22, 77.97it/s, v_num=5, train_loss=2.150]
Epoch 0:   7%|▋         | 133/1875 [00:01<00:22, 77.98it/s, v_num=5, train_loss=2.150]
Epoch 0:   7%|▋         | 133/1875 [00:01<00:22, 77.97it/s, v_num=5, train_loss=2.110]
Epoch 0:   7%|▋         | 134/1875 [00:01<00:22, 77.98it/s, v_num=5, train_loss=2.110]
Epoch 0:   7%|▋         | 134/1875 [00:01<00:22, 77.98it/s, v_num=5, train_loss=2.080]
Epoch 0:   7%|▋         | 135/1875 [00:01<00:22, 77.98it/s, v_num=5, train_loss=2.080]
Epoch 0:   7%|▋         | 135/1875 [00:01<00:22, 77.97it/s, v_num=5, train_loss=1.960]
Epoch 0:   7%|▋         | 136/1875 [00:01<00:22, 77.95it/s, v_num=5, train_loss=1.960]
Epoch 0:   7%|▋         | 136/1875 [00:01<00:22, 77.94it/s, v_num=5, train_loss=1.990]
Epoch 0:   7%|▋         | 137/1875 [00:01<00:22, 77.94it/s, v_num=5, train_loss=1.990]
Epoch 0:   7%|▋         | 137/1875 [00:01<00:22, 77.93it/s, v_num=5, train_loss=1.930]
Epoch 0:   7%|▋         | 138/1875 [00:01<00:22, 77.94it/s, v_num=5, train_loss=1.930]
Epoch 0:   7%|▋         | 138/1875 [00:01<00:22, 77.93it/s, v_num=5, train_loss=2.370]
Epoch 0:   7%|▋         | 139/1875 [00:01<00:22, 77.95it/s, v_num=5, train_loss=2.370]
Epoch 0:   7%|▋         | 139/1875 [00:01<00:22, 77.94it/s, v_num=5, train_loss=2.140]
Epoch 0:   7%|▋         | 140/1875 [00:01<00:22, 77.95it/s, v_num=5, train_loss=2.140]
Epoch 0:   7%|▋         | 140/1875 [00:01<00:22, 77.94it/s, v_num=5, train_loss=2.280]
Epoch 0:   8%|▊         | 141/1875 [00:01<00:22, 77.96it/s, v_num=5, train_loss=2.280]
Epoch 0:   8%|▊         | 141/1875 [00:01<00:22, 77.95it/s, v_num=5, train_loss=1.950]
Epoch 0:   8%|▊         | 142/1875 [00:01<00:22, 77.96it/s, v_num=5, train_loss=1.950]
Epoch 0:   8%|▊         | 142/1875 [00:01<00:22, 77.95it/s, v_num=5, train_loss=1.960]
Epoch 0:   8%|▊         | 143/1875 [00:01<00:22, 77.96it/s, v_num=5, train_loss=1.960]
Epoch 0:   8%|▊         | 143/1875 [00:01<00:22, 77.95it/s, v_num=5, train_loss=2.010]
Epoch 0:   8%|▊         | 144/1875 [00:01<00:22, 77.97it/s, v_num=5, train_loss=2.010]
Epoch 0:   8%|▊         | 144/1875 [00:01<00:22, 77.96it/s, v_num=5, train_loss=1.900]
Epoch 0:   8%|▊         | 145/1875 [00:01<00:22, 77.97it/s, v_num=5, train_loss=1.900]
Epoch 0:   8%|▊         | 145/1875 [00:01<00:22, 77.96it/s, v_num=5, train_loss=2.130]
Epoch 0:   8%|▊         | 146/1875 [00:01<00:22, 77.97it/s, v_num=5, train_loss=2.130]
Epoch 0:   8%|▊         | 146/1875 [00:01<00:22, 77.96it/s, v_num=5, train_loss=2.070]
Epoch 0:   8%|▊         | 147/1875 [00:01<00:22, 77.98it/s, v_num=5, train_loss=2.070]
Epoch 0:   8%|▊         | 147/1875 [00:01<00:22, 77.97it/s, v_num=5, train_loss=1.920]
Epoch 0:   8%|▊         | 148/1875 [00:01<00:22, 77.98it/s, v_num=5, train_loss=1.920]
Epoch 0:   8%|▊         | 148/1875 [00:01<00:22, 77.97it/s, v_num=5, train_loss=1.980]
Epoch 0:   8%|▊         | 149/1875 [00:01<00:22, 77.99it/s, v_num=5, train_loss=1.980]
Epoch 0:   8%|▊         | 149/1875 [00:01<00:22, 77.98it/s, v_num=5, train_loss=1.960]
Epoch 0:   8%|▊         | 150/1875 [00:01<00:22, 77.99it/s, v_num=5, train_loss=1.960]
Epoch 0:   8%|▊         | 150/1875 [00:01<00:22, 77.98it/s, v_num=5, train_loss=1.910]
Epoch 0:   8%|▊         | 151/1875 [00:01<00:22, 77.97it/s, v_num=5, train_loss=1.910]
Epoch 0:   8%|▊         | 151/1875 [00:01<00:22, 77.96it/s, v_num=5, train_loss=1.820]
Epoch 0:   8%|▊         | 152/1875 [00:01<00:22, 77.97it/s, v_num=5, train_loss=1.820]
Epoch 0:   8%|▊         | 152/1875 [00:01<00:22, 77.97it/s, v_num=5, train_loss=1.990]
Epoch 0:   8%|▊         | 153/1875 [00:01<00:22, 77.98it/s, v_num=5, train_loss=1.990]
Epoch 0:   8%|▊         | 153/1875 [00:01<00:22, 77.97it/s, v_num=5, train_loss=1.830]
Epoch 0:   8%|▊         | 154/1875 [00:01<00:22, 77.99it/s, v_num=5, train_loss=1.830]
Epoch 0:   8%|▊         | 154/1875 [00:01<00:22, 77.98it/s, v_num=5, train_loss=1.920]
Epoch 0:   8%|▊         | 155/1875 [00:01<00:22, 77.99it/s, v_num=5, train_loss=1.920]
Epoch 0:   8%|▊         | 155/1875 [00:01<00:22, 77.98it/s, v_num=5, train_loss=1.890]
Epoch 0:   8%|▊         | 156/1875 [00:02<00:22, 78.00it/s, v_num=5, train_loss=1.890]
Epoch 0:   8%|▊         | 156/1875 [00:02<00:22, 77.99it/s, v_num=5, train_loss=1.970]
Epoch 0:   8%|▊         | 157/1875 [00:02<00:22, 78.00it/s, v_num=5, train_loss=1.970]
Epoch 0:   8%|▊         | 157/1875 [00:02<00:22, 77.99it/s, v_num=5, train_loss=1.950]
Epoch 0:   8%|▊         | 158/1875 [00:02<00:22, 78.00it/s, v_num=5, train_loss=1.950]
Epoch 0:   8%|▊         | 158/1875 [00:02<00:22, 77.99it/s, v_num=5, train_loss=1.920]
Epoch 0:   8%|▊         | 159/1875 [00:02<00:21, 78.01it/s, v_num=5, train_loss=1.920]
Epoch 0:   8%|▊         | 159/1875 [00:02<00:21, 78.00it/s, v_num=5, train_loss=1.840]
Epoch 0:   9%|▊         | 160/1875 [00:02<00:21, 78.01it/s, v_num=5, train_loss=1.840]
Epoch 0:   9%|▊         | 160/1875 [00:02<00:21, 78.01it/s, v_num=5, train_loss=1.760]
Epoch 0:   9%|▊         | 161/1875 [00:02<00:21, 78.02it/s, v_num=5, train_loss=1.760]
Epoch 0:   9%|▊         | 161/1875 [00:02<00:21, 78.01it/s, v_num=5, train_loss=1.940]
Epoch 0:   9%|▊         | 162/1875 [00:02<00:21, 78.02it/s, v_num=5, train_loss=1.940]
Epoch 0:   9%|▊         | 162/1875 [00:02<00:21, 78.01it/s, v_num=5, train_loss=2.250]
Epoch 0:   9%|▊         | 163/1875 [00:02<00:21, 78.03it/s, v_num=5, train_loss=2.250]
Epoch 0:   9%|▊         | 163/1875 [00:02<00:21, 78.02it/s, v_num=5, train_loss=1.770]
Epoch 0:   9%|▊         | 164/1875 [00:02<00:21, 78.02it/s, v_num=5, train_loss=1.770]
Epoch 0:   9%|▊         | 164/1875 [00:02<00:21, 78.01it/s, v_num=5, train_loss=2.010]
Epoch 0:   9%|▉         | 165/1875 [00:02<00:21, 78.02it/s, v_num=5, train_loss=2.010]
Epoch 0:   9%|▉         | 165/1875 [00:02<00:21, 78.01it/s, v_num=5, train_loss=1.830]
Epoch 0:   9%|▉         | 166/1875 [00:02<00:21, 78.02it/s, v_num=5, train_loss=1.830]
Epoch 0:   9%|▉         | 166/1875 [00:02<00:21, 78.01it/s, v_num=5, train_loss=1.780]
Epoch 0:   9%|▉         | 167/1875 [00:02<00:21, 78.03it/s, v_num=5, train_loss=1.780]
Epoch 0:   9%|▉         | 167/1875 [00:02<00:21, 78.02it/s, v_num=5, train_loss=1.850]
Epoch 0:   9%|▉         | 168/1875 [00:02<00:21, 78.03it/s, v_num=5, train_loss=1.850]
Epoch 0:   9%|▉         | 168/1875 [00:02<00:21, 78.03it/s, v_num=5, train_loss=1.750]
Epoch 0:   9%|▉         | 169/1875 [00:02<00:21, 78.04it/s, v_num=5, train_loss=1.750]
Epoch 0:   9%|▉         | 169/1875 [00:02<00:21, 78.03it/s, v_num=5, train_loss=2.160]
Epoch 0:   9%|▉         | 170/1875 [00:02<00:21, 78.04it/s, v_num=5, train_loss=2.160]
Epoch 0:   9%|▉         | 170/1875 [00:02<00:21, 78.03it/s, v_num=5, train_loss=1.780]
Epoch 0:   9%|▉         | 171/1875 [00:02<00:21, 78.04it/s, v_num=5, train_loss=1.780]
Epoch 0:   9%|▉         | 171/1875 [00:02<00:21, 78.04it/s, v_num=5, train_loss=1.980]
Epoch 0:   9%|▉         | 172/1875 [00:02<00:21, 78.05it/s, v_num=5, train_loss=1.980]
Epoch 0:   9%|▉         | 172/1875 [00:02<00:21, 78.04it/s, v_num=5, train_loss=1.670]
Epoch 0:   9%|▉         | 173/1875 [00:02<00:21, 78.05it/s, v_num=5, train_loss=1.670]
Epoch 0:   9%|▉         | 173/1875 [00:02<00:21, 78.04it/s, v_num=5, train_loss=1.770]
Epoch 0:   9%|▉         | 174/1875 [00:02<00:21, 78.04it/s, v_num=5, train_loss=1.770]
Epoch 0:   9%|▉         | 174/1875 [00:02<00:21, 78.03it/s, v_num=5, train_loss=1.530]
Epoch 0:   9%|▉         | 175/1875 [00:02<00:21, 78.04it/s, v_num=5, train_loss=1.530]
Epoch 0:   9%|▉         | 175/1875 [00:02<00:21, 78.03it/s, v_num=5, train_loss=1.750]
Epoch 0:   9%|▉         | 176/1875 [00:02<00:21, 78.03it/s, v_num=5, train_loss=1.750]
Epoch 0:   9%|▉         | 176/1875 [00:02<00:21, 78.03it/s, v_num=5, train_loss=1.980]
Epoch 0:   9%|▉         | 177/1875 [00:02<00:21, 78.03it/s, v_num=5, train_loss=1.980]
Epoch 0:   9%|▉         | 177/1875 [00:02<00:21, 78.02it/s, v_num=5, train_loss=2.190]
Epoch 0:   9%|▉         | 178/1875 [00:02<00:21, 78.03it/s, v_num=5, train_loss=2.190]
Epoch 0:   9%|▉         | 178/1875 [00:02<00:21, 78.02it/s, v_num=5, train_loss=1.880]
Epoch 0:  10%|▉         | 179/1875 [00:02<00:21, 78.03it/s, v_num=5, train_loss=1.880]
Epoch 0:  10%|▉         | 179/1875 [00:02<00:21, 78.02it/s, v_num=5, train_loss=1.790]
Epoch 0:  10%|▉         | 180/1875 [00:02<00:21, 78.03it/s, v_num=5, train_loss=1.790]
Epoch 0:  10%|▉         | 180/1875 [00:02<00:21, 78.02it/s, v_num=5, train_loss=1.880]
Epoch 0:  10%|▉         | 181/1875 [00:02<00:21, 78.03it/s, v_num=5, train_loss=1.880]
Epoch 0:  10%|▉         | 181/1875 [00:02<00:21, 78.02it/s, v_num=5, train_loss=1.830]
Epoch 0:  10%|▉         | 182/1875 [00:02<00:21, 78.03it/s, v_num=5, train_loss=1.830]
Epoch 0:  10%|▉         | 182/1875 [00:02<00:21, 78.02it/s, v_num=5, train_loss=1.790]
Epoch 0:  10%|▉         | 183/1875 [00:02<00:21, 78.03it/s, v_num=5, train_loss=1.790]
Epoch 0:  10%|▉         | 183/1875 [00:02<00:21, 78.02it/s, v_num=5, train_loss=1.670]
Epoch 0:  10%|▉         | 184/1875 [00:02<00:21, 78.03it/s, v_num=5, train_loss=1.670]
Epoch 0:  10%|▉         | 184/1875 [00:02<00:21, 78.02it/s, v_num=5, train_loss=1.840]
Epoch 0:  10%|▉         | 185/1875 [00:02<00:21, 78.03it/s, v_num=5, train_loss=1.840]
Epoch 0:  10%|▉         | 185/1875 [00:02<00:21, 78.02it/s, v_num=5, train_loss=1.450]
Epoch 0:  10%|▉         | 186/1875 [00:02<00:21, 78.03it/s, v_num=5, train_loss=1.450]
Epoch 0:  10%|▉         | 186/1875 [00:02<00:21, 78.02it/s, v_num=5, train_loss=1.520]
Epoch 0:  10%|▉         | 187/1875 [00:02<00:21, 78.02it/s, v_num=5, train_loss=1.520]
Epoch 0:  10%|▉         | 187/1875 [00:02<00:21, 78.02it/s, v_num=5, train_loss=1.670]
Epoch 0:  10%|█         | 188/1875 [00:02<00:21, 78.02it/s, v_num=5, train_loss=1.670]
Epoch 0:  10%|█         | 188/1875 [00:02<00:21, 78.02it/s, v_num=5, train_loss=1.660]
Epoch 0:  10%|█         | 189/1875 [00:02<00:21, 78.03it/s, v_num=5, train_loss=1.660]
Epoch 0:  10%|█         | 189/1875 [00:02<00:21, 78.02it/s, v_num=5, train_loss=2.430]
Epoch 0:  10%|█         | 190/1875 [00:02<00:21, 78.02it/s, v_num=5, train_loss=2.430]
Epoch 0:  10%|█         | 190/1875 [00:02<00:21, 78.02it/s, v_num=5, train_loss=2.410]
Epoch 0:  10%|█         | 191/1875 [00:02<00:21, 78.03it/s, v_num=5, train_loss=2.410]
Epoch 0:  10%|█         | 191/1875 [00:02<00:21, 78.02it/s, v_num=5, train_loss=1.950]
Epoch 0:  10%|█         | 192/1875 [00:02<00:21, 78.02it/s, v_num=5, train_loss=1.950]
Epoch 0:  10%|█         | 192/1875 [00:02<00:21, 78.02it/s, v_num=5, train_loss=1.900]
Epoch 0:  10%|█         | 193/1875 [00:02<00:21, 78.03it/s, v_num=5, train_loss=1.900]
Epoch 0:  10%|█         | 193/1875 [00:02<00:21, 78.02it/s, v_num=5, train_loss=1.660]
Epoch 0:  10%|█         | 194/1875 [00:02<00:21, 78.03it/s, v_num=5, train_loss=1.660]
Epoch 0:  10%|█         | 194/1875 [00:02<00:21, 78.02it/s, v_num=5, train_loss=1.780]
Epoch 0:  10%|█         | 195/1875 [00:02<00:21, 78.04it/s, v_num=5, train_loss=1.780]
Epoch 0:  10%|█         | 195/1875 [00:02<00:21, 78.03it/s, v_num=5, train_loss=1.960]
Epoch 0:  10%|█         | 196/1875 [00:02<00:21, 78.04it/s, v_num=5, train_loss=1.960]
Epoch 0:  10%|█         | 196/1875 [00:02<00:21, 78.04it/s, v_num=5, train_loss=1.790]
Epoch 0:  11%|█         | 197/1875 [00:02<00:21, 78.05it/s, v_num=5, train_loss=1.790]
Epoch 0:  11%|█         | 197/1875 [00:02<00:21, 78.04it/s, v_num=5, train_loss=1.770]
Epoch 0:  11%|█         | 198/1875 [00:02<00:21, 78.05it/s, v_num=5, train_loss=1.770]
Epoch 0:  11%|█         | 198/1875 [00:02<00:21, 78.04it/s, v_num=5, train_loss=1.550]
Epoch 0:  11%|█         | 199/1875 [00:02<00:21, 78.05it/s, v_num=5, train_loss=1.550]
Epoch 0:  11%|█         | 199/1875 [00:02<00:21, 78.05it/s, v_num=5, train_loss=1.480]
Epoch 0:  11%|█         | 200/1875 [00:02<00:21, 78.06it/s, v_num=5, train_loss=1.480]
Epoch 0:  11%|█         | 200/1875 [00:02<00:21, 78.05it/s, v_num=5, train_loss=1.640]
Epoch 0:  11%|█         | 201/1875 [00:02<00:21, 78.05it/s, v_num=5, train_loss=1.640]
Epoch 0:  11%|█         | 201/1875 [00:02<00:21, 78.04it/s, v_num=5, train_loss=1.650]
Epoch 0:  11%|█         | 202/1875 [00:02<00:21, 78.05it/s, v_num=5, train_loss=1.650]
Epoch 0:  11%|█         | 202/1875 [00:02<00:21, 78.04it/s, v_num=5, train_loss=1.470]
Epoch 0:  11%|█         | 203/1875 [00:02<00:21, 78.05it/s, v_num=5, train_loss=1.470]
Epoch 0:  11%|█         | 203/1875 [00:02<00:21, 78.04it/s, v_num=5, train_loss=1.610]
Epoch 0:  11%|█         | 204/1875 [00:02<00:21, 78.05it/s, v_num=5, train_loss=1.610]
Epoch 0:  11%|█         | 204/1875 [00:02<00:21, 78.05it/s, v_num=5, train_loss=1.500]
Epoch 0:  11%|█         | 205/1875 [00:02<00:21, 78.06it/s, v_num=5, train_loss=1.500]
Epoch 0:  11%|█         | 205/1875 [00:02<00:21, 78.05it/s, v_num=5, train_loss=1.520]
Epoch 0:  11%|█         | 206/1875 [00:02<00:21, 78.06it/s, v_num=5, train_loss=1.520]
Epoch 0:  11%|█         | 206/1875 [00:02<00:21, 78.06it/s, v_num=5, train_loss=1.450]
Epoch 0:  11%|█         | 207/1875 [00:02<00:21, 78.07it/s, v_num=5, train_loss=1.450]
Epoch 0:  11%|█         | 207/1875 [00:02<00:21, 78.06it/s, v_num=5, train_loss=1.350]
Epoch 0:  11%|█         | 208/1875 [00:02<00:21, 78.07it/s, v_num=5, train_loss=1.350]
Epoch 0:  11%|█         | 208/1875 [00:02<00:21, 78.06it/s, v_num=5, train_loss=1.440]
Epoch 0:  11%|█         | 209/1875 [00:02<00:21, 78.07it/s, v_num=5, train_loss=1.440]
Epoch 0:  11%|█         | 209/1875 [00:02<00:21, 78.07it/s, v_num=5, train_loss=1.630]
Epoch 0:  11%|█         | 210/1875 [00:02<00:21, 78.08it/s, v_num=5, train_loss=1.630]
Epoch 0:  11%|█         | 210/1875 [00:02<00:21, 78.07it/s, v_num=5, train_loss=2.010]
Epoch 0:  11%|█▏        | 211/1875 [00:02<00:21, 78.08it/s, v_num=5, train_loss=2.010]
Epoch 0:  11%|█▏        | 211/1875 [00:02<00:21, 78.07it/s, v_num=5, train_loss=1.630]
Epoch 0:  11%|█▏        | 212/1875 [00:02<00:21, 78.08it/s, v_num=5, train_loss=1.630]
Epoch 0:  11%|█▏        | 212/1875 [00:02<00:21, 78.08it/s, v_num=5, train_loss=1.660]
Epoch 0:  11%|█▏        | 213/1875 [00:02<00:21, 78.08it/s, v_num=5, train_loss=1.660]
Epoch 0:  11%|█▏        | 213/1875 [00:02<00:21, 78.08it/s, v_num=5, train_loss=1.540]
Epoch 0:  11%|█▏        | 214/1875 [00:02<00:21, 78.09it/s, v_num=5, train_loss=1.540]
Epoch 0:  11%|█▏        | 214/1875 [00:02<00:21, 78.08it/s, v_num=5, train_loss=1.820]
Epoch 0:  11%|█▏        | 215/1875 [00:02<00:21, 78.08it/s, v_num=5, train_loss=1.820]
Epoch 0:  11%|█▏        | 215/1875 [00:02<00:21, 78.08it/s, v_num=5, train_loss=1.500]
Epoch 0:  12%|█▏        | 216/1875 [00:02<00:21, 78.08it/s, v_num=5, train_loss=1.500]
Epoch 0:  12%|█▏        | 216/1875 [00:02<00:21, 78.07it/s, v_num=5, train_loss=1.470]
Epoch 0:  12%|█▏        | 217/1875 [00:02<00:21, 78.08it/s, v_num=5, train_loss=1.470]
Epoch 0:  12%|█▏        | 217/1875 [00:02<00:21, 78.07it/s, v_num=5, train_loss=1.400]
Epoch 0:  12%|█▏        | 218/1875 [00:02<00:21, 78.08it/s, v_num=5, train_loss=1.400]
Epoch 0:  12%|█▏        | 218/1875 [00:02<00:21, 78.08it/s, v_num=5, train_loss=1.390]
Epoch 0:  12%|█▏        | 219/1875 [00:02<00:21, 78.08it/s, v_num=5, train_loss=1.390]
Epoch 0:  12%|█▏        | 219/1875 [00:02<00:21, 78.08it/s, v_num=5, train_loss=1.970]
Epoch 0:  12%|█▏        | 220/1875 [00:02<00:21, 78.09it/s, v_num=5, train_loss=1.970]
Epoch 0:  12%|█▏        | 220/1875 [00:02<00:21, 78.08it/s, v_num=5, train_loss=1.940]
Epoch 0:  12%|█▏        | 221/1875 [00:02<00:21, 78.09it/s, v_num=5, train_loss=1.940]
Epoch 0:  12%|█▏        | 221/1875 [00:02<00:21, 78.08it/s, v_num=5, train_loss=1.490]
Epoch 0:  12%|█▏        | 222/1875 [00:02<00:21, 78.09it/s, v_num=5, train_loss=1.490]
Epoch 0:  12%|█▏        | 222/1875 [00:02<00:21, 78.09it/s, v_num=5, train_loss=1.480]
Epoch 0:  12%|█▏        | 223/1875 [00:02<00:21, 78.10it/s, v_num=5, train_loss=1.480]
Epoch 0:  12%|█▏        | 223/1875 [00:02<00:21, 78.09it/s, v_num=5, train_loss=1.390]
Epoch 0:  12%|█▏        | 224/1875 [00:02<00:21, 78.10it/s, v_num=5, train_loss=1.390]
Epoch 0:  12%|█▏        | 224/1875 [00:02<00:21, 78.09it/s, v_num=5, train_loss=1.520]
Epoch 0:  12%|█▏        | 225/1875 [00:02<00:21, 78.10it/s, v_num=5, train_loss=1.520]
Epoch 0:  12%|█▏        | 225/1875 [00:02<00:21, 78.09it/s, v_num=5, train_loss=1.630]
Epoch 0:  12%|█▏        | 226/1875 [00:02<00:21, 78.10it/s, v_num=5, train_loss=1.630]
Epoch 0:  12%|█▏        | 226/1875 [00:02<00:21, 78.10it/s, v_num=5, train_loss=1.480]
Epoch 0:  12%|█▏        | 227/1875 [00:02<00:21, 78.11it/s, v_num=5, train_loss=1.480]
Epoch 0:  12%|█▏        | 227/1875 [00:02<00:21, 78.10it/s, v_num=5, train_loss=1.280]
Epoch 0:  12%|█▏        | 228/1875 [00:02<00:21, 78.11it/s, v_num=5, train_loss=1.280]
Epoch 0:  12%|█▏        | 228/1875 [00:02<00:21, 78.10it/s, v_num=5, train_loss=1.310]
Epoch 0:  12%|█▏        | 229/1875 [00:02<00:21, 78.11it/s, v_num=5, train_loss=1.310]
Epoch 0:  12%|█▏        | 229/1875 [00:02<00:21, 78.10it/s, v_num=5, train_loss=1.340]
Epoch 0:  12%|█▏        | 230/1875 [00:02<00:21, 78.11it/s, v_num=5, train_loss=1.340]
Epoch 0:  12%|█▏        | 230/1875 [00:02<00:21, 78.11it/s, v_num=5, train_loss=1.240]
Epoch 0:  12%|█▏        | 231/1875 [00:02<00:21, 78.12it/s, v_num=5, train_loss=1.240]
Epoch 0:  12%|█▏        | 231/1875 [00:02<00:21, 78.11it/s, v_num=5, train_loss=1.330]
Epoch 0:  12%|█▏        | 232/1875 [00:02<00:21, 78.12it/s, v_num=5, train_loss=1.330]
Epoch 0:  12%|█▏        | 232/1875 [00:02<00:21, 78.11it/s, v_num=5, train_loss=1.430]
Epoch 0:  12%|█▏        | 233/1875 [00:02<00:21, 78.12it/s, v_num=5, train_loss=1.430]
Epoch 0:  12%|█▏        | 233/1875 [00:02<00:21, 78.12it/s, v_num=5, train_loss=1.330]
Epoch 0:  12%|█▏        | 234/1875 [00:02<00:21, 78.13it/s, v_num=5, train_loss=1.330]
Epoch 0:  12%|█▏        | 234/1875 [00:02<00:21, 78.12it/s, v_num=5, train_loss=1.310]
Epoch 0:  13%|█▎        | 235/1875 [00:03<00:20, 78.13it/s, v_num=5, train_loss=1.310]
Epoch 0:  13%|█▎        | 235/1875 [00:03<00:20, 78.13it/s, v_num=5, train_loss=1.560]
Epoch 0:  13%|█▎        | 236/1875 [00:03<00:20, 78.14it/s, v_num=5, train_loss=1.560]
Epoch 0:  13%|█▎        | 236/1875 [00:03<00:20, 78.13it/s, v_num=5, train_loss=1.330]
Epoch 0:  13%|█▎        | 237/1875 [00:03<00:20, 78.14it/s, v_num=5, train_loss=1.330]
Epoch 0:  13%|█▎        | 237/1875 [00:03<00:20, 78.14it/s, v_num=5, train_loss=1.520]
Epoch 0:  13%|█▎        | 238/1875 [00:03<00:20, 78.15it/s, v_num=5, train_loss=1.520]
Epoch 0:  13%|█▎        | 238/1875 [00:03<00:20, 78.14it/s, v_num=5, train_loss=1.290]
Epoch 0:  13%|█▎        | 239/1875 [00:03<00:20, 78.15it/s, v_num=5, train_loss=1.290]
Epoch 0:  13%|█▎        | 239/1875 [00:03<00:20, 78.14it/s, v_num=5, train_loss=1.150]
Epoch 0:  13%|█▎        | 240/1875 [00:03<00:20, 78.15it/s, v_num=5, train_loss=1.150]
Epoch 0:  13%|█▎        | 240/1875 [00:03<00:20, 78.15it/s, v_num=5, train_loss=1.270]
Epoch 0:  13%|█▎        | 241/1875 [00:03<00:20, 78.16it/s, v_num=5, train_loss=1.270]
Epoch 0:  13%|█▎        | 241/1875 [00:03<00:20, 78.15it/s, v_num=5, train_loss=1.820]
Epoch 0:  13%|█▎        | 242/1875 [00:03<00:20, 78.16it/s, v_num=5, train_loss=1.820]
Epoch 0:  13%|█▎        | 242/1875 [00:03<00:20, 78.15it/s, v_num=5, train_loss=1.550]
Epoch 0:  13%|█▎        | 243/1875 [00:03<00:20, 78.15it/s, v_num=5, train_loss=1.550]
Epoch 0:  13%|█▎        | 243/1875 [00:03<00:20, 78.15it/s, v_num=5, train_loss=1.370]
Epoch 0:  13%|█▎        | 244/1875 [00:03<00:20, 78.16it/s, v_num=5, train_loss=1.370]
Epoch 0:  13%|█▎        | 244/1875 [00:03<00:20, 78.15it/s, v_num=5, train_loss=1.300]
Epoch 0:  13%|█▎        | 245/1875 [00:03<00:20, 78.16it/s, v_num=5, train_loss=1.300]
Epoch 0:  13%|█▎        | 245/1875 [00:03<00:20, 78.15it/s, v_num=5, train_loss=1.330]
Epoch 0:  13%|█▎        | 246/1875 [00:03<00:20, 78.16it/s, v_num=5, train_loss=1.330]
Epoch 0:  13%|█▎        | 246/1875 [00:03<00:20, 78.16it/s, v_num=5, train_loss=1.090]
Epoch 0:  13%|█▎        | 247/1875 [00:03<00:20, 78.16it/s, v_num=5, train_loss=1.090]
Epoch 0:  13%|█▎        | 247/1875 [00:03<00:20, 78.16it/s, v_num=5, train_loss=1.360]
Epoch 0:  13%|█▎        | 248/1875 [00:03<00:20, 78.16it/s, v_num=5, train_loss=1.360]
Epoch 0:  13%|█▎        | 248/1875 [00:03<00:20, 78.16it/s, v_num=5, train_loss=1.250]
Epoch 0:  13%|█▎        | 249/1875 [00:03<00:20, 78.17it/s, v_num=5, train_loss=1.250]
Epoch 0:  13%|█▎        | 249/1875 [00:03<00:20, 78.16it/s, v_num=5, train_loss=1.150]
Epoch 0:  13%|█▎        | 250/1875 [00:03<00:20, 78.17it/s, v_num=5, train_loss=1.150]
Epoch 0:  13%|█▎        | 250/1875 [00:03<00:20, 78.16it/s, v_num=5, train_loss=1.280]
Epoch 0:  13%|█▎        | 251/1875 [00:03<00:20, 78.16it/s, v_num=5, train_loss=1.280]
Epoch 0:  13%|█▎        | 251/1875 [00:03<00:20, 78.15it/s, v_num=5, train_loss=1.070]
Epoch 0:  13%|█▎        | 252/1875 [00:03<00:20, 78.16it/s, v_num=5, train_loss=1.070]
Epoch 0:  13%|█▎        | 252/1875 [00:03<00:20, 78.15it/s, v_num=5, train_loss=1.590]
Epoch 0:  13%|█▎        | 253/1875 [00:03<00:20, 78.16it/s, v_num=5, train_loss=1.590]
Epoch 0:  13%|█▎        | 253/1875 [00:03<00:20, 78.16it/s, v_num=5, train_loss=1.810]
Epoch 0:  14%|█▎        | 254/1875 [00:03<00:20, 78.17it/s, v_num=5, train_loss=1.810]
Epoch 0:  14%|█▎        | 254/1875 [00:03<00:20, 78.16it/s, v_num=5, train_loss=1.160]
Epoch 0:  14%|█▎        | 255/1875 [00:03<00:20, 78.17it/s, v_num=5, train_loss=1.160]
Epoch 0:  14%|█▎        | 255/1875 [00:03<00:20, 78.17it/s, v_num=5, train_loss=1.390]
Epoch 0:  14%|█▎        | 256/1875 [00:03<00:20, 78.17it/s, v_num=5, train_loss=1.390]
Epoch 0:  14%|█▎        | 256/1875 [00:03<00:20, 78.17it/s, v_num=5, train_loss=0.799]
Epoch 0:  14%|█▎        | 257/1875 [00:03<00:20, 78.18it/s, v_num=5, train_loss=0.799]
Epoch 0:  14%|█▎        | 257/1875 [00:03<00:20, 78.17it/s, v_num=5, train_loss=0.904]
Epoch 0:  14%|█▍        | 258/1875 [00:03<00:20, 78.18it/s, v_num=5, train_loss=0.904]
Epoch 0:  14%|█▍        | 258/1875 [00:03<00:20, 78.17it/s, v_num=5, train_loss=1.110]
Epoch 0:  14%|█▍        | 259/1875 [00:03<00:20, 78.18it/s, v_num=5, train_loss=1.110]
Epoch 0:  14%|█▍        | 259/1875 [00:03<00:20, 78.17it/s, v_num=5, train_loss=1.140]
Epoch 0:  14%|█▍        | 260/1875 [00:03<00:20, 78.18it/s, v_num=5, train_loss=1.140]
Epoch 0:  14%|█▍        | 260/1875 [00:03<00:20, 78.18it/s, v_num=5, train_loss=1.180]
Epoch 0:  14%|█▍        | 261/1875 [00:03<00:20, 78.19it/s, v_num=5, train_loss=1.180]
Epoch 0:  14%|█▍        | 261/1875 [00:03<00:20, 78.18it/s, v_num=5, train_loss=1.460]
Epoch 0:  14%|█▍        | 262/1875 [00:03<00:20, 78.19it/s, v_num=5, train_loss=1.460]
Epoch 0:  14%|█▍        | 262/1875 [00:03<00:20, 78.18it/s, v_num=5, train_loss=2.120]
Epoch 0:  14%|█▍        | 263/1875 [00:03<00:20, 78.19it/s, v_num=5, train_loss=2.120]
Epoch 0:  14%|█▍        | 263/1875 [00:03<00:20, 78.19it/s, v_num=5, train_loss=1.590]
Epoch 0:  14%|█▍        | 264/1875 [00:03<00:20, 78.19it/s, v_num=5, train_loss=1.590]
Epoch 0:  14%|█▍        | 264/1875 [00:03<00:20, 78.19it/s, v_num=5, train_loss=1.500]
Epoch 0:  14%|█▍        | 265/1875 [00:03<00:20, 78.20it/s, v_num=5, train_loss=1.500]
Epoch 0:  14%|█▍        | 265/1875 [00:03<00:20, 78.19it/s, v_num=5, train_loss=1.310]
Epoch 0:  14%|█▍        | 266/1875 [00:03<00:20, 78.20it/s, v_num=5, train_loss=1.310]
Epoch 0:  14%|█▍        | 266/1875 [00:03<00:20, 78.19it/s, v_num=5, train_loss=1.340]
Epoch 0:  14%|█▍        | 267/1875 [00:03<00:20, 78.20it/s, v_num=5, train_loss=1.340]
Epoch 0:  14%|█▍        | 267/1875 [00:03<00:20, 78.19it/s, v_num=5, train_loss=0.879]
Epoch 0:  14%|█▍        | 268/1875 [00:03<00:20, 78.20it/s, v_num=5, train_loss=0.879]
Epoch 0:  14%|█▍        | 268/1875 [00:03<00:20, 78.19it/s, v_num=5, train_loss=1.250]
Epoch 0:  14%|█▍        | 269/1875 [00:03<00:20, 78.20it/s, v_num=5, train_loss=1.250]
Epoch 0:  14%|█▍        | 269/1875 [00:03<00:20, 78.19it/s, v_num=5, train_loss=0.921]
Epoch 0:  14%|█▍        | 270/1875 [00:03<00:20, 78.20it/s, v_num=5, train_loss=0.921]
Epoch 0:  14%|█▍        | 270/1875 [00:03<00:20, 78.19it/s, v_num=5, train_loss=1.440]
Epoch 0:  14%|█▍        | 271/1875 [00:03<00:20, 78.20it/s, v_num=5, train_loss=1.440]
Epoch 0:  14%|█▍        | 271/1875 [00:03<00:20, 78.19it/s, v_num=5, train_loss=1.270]
Epoch 0:  15%|█▍        | 272/1875 [00:03<00:20, 78.20it/s, v_num=5, train_loss=1.270]
Epoch 0:  15%|█▍        | 272/1875 [00:03<00:20, 78.19it/s, v_num=5, train_loss=1.040]
Epoch 0:  15%|█▍        | 273/1875 [00:03<00:20, 78.20it/s, v_num=5, train_loss=1.040]
Epoch 0:  15%|█▍        | 273/1875 [00:03<00:20, 78.19it/s, v_num=5, train_loss=1.020]
Epoch 0:  15%|█▍        | 274/1875 [00:03<00:20, 78.19it/s, v_num=5, train_loss=1.020]
Epoch 0:  15%|█▍        | 274/1875 [00:03<00:20, 78.18it/s, v_num=5, train_loss=1.590]
Epoch 0:  15%|█▍        | 275/1875 [00:03<00:20, 78.19it/s, v_num=5, train_loss=1.590]
Epoch 0:  15%|█▍        | 275/1875 [00:03<00:20, 78.18it/s, v_num=5, train_loss=1.940]
Epoch 0:  15%|█▍        | 276/1875 [00:03<00:20, 78.19it/s, v_num=5, train_loss=1.940]
Epoch 0:  15%|█▍        | 276/1875 [00:03<00:20, 78.18it/s, v_num=5, train_loss=1.450]
Epoch 0:  15%|█▍        | 277/1875 [00:03<00:20, 78.18it/s, v_num=5, train_loss=1.450]
Epoch 0:  15%|█▍        | 277/1875 [00:03<00:20, 78.18it/s, v_num=5, train_loss=1.440]
Epoch 0:  15%|█▍        | 278/1875 [00:03<00:20, 78.19it/s, v_num=5, train_loss=1.440]
Epoch 0:  15%|█▍        | 278/1875 [00:03<00:20, 78.18it/s, v_num=5, train_loss=1.080]
Epoch 0:  15%|█▍        | 279/1875 [00:03<00:20, 78.19it/s, v_num=5, train_loss=1.080]
Epoch 0:  15%|█▍        | 279/1875 [00:03<00:20, 78.18it/s, v_num=5, train_loss=1.130]
Epoch 0:  15%|█▍        | 280/1875 [00:03<00:20, 78.19it/s, v_num=5, train_loss=1.130]
Epoch 0:  15%|█▍        | 280/1875 [00:03<00:20, 78.19it/s, v_num=5, train_loss=1.220]
Epoch 0:  15%|█▍        | 281/1875 [00:03<00:20, 78.19it/s, v_num=5, train_loss=1.220]
Epoch 0:  15%|█▍        | 281/1875 [00:03<00:20, 78.19it/s, v_num=5, train_loss=1.240]
Epoch 0:  15%|█▌        | 282/1875 [00:03<00:20, 78.20it/s, v_num=5, train_loss=1.240]
Epoch 0:  15%|█▌        | 282/1875 [00:03<00:20, 78.19it/s, v_num=5, train_loss=1.070]
Epoch 0:  15%|█▌        | 283/1875 [00:03<00:20, 78.20it/s, v_num=5, train_loss=1.070]
Epoch 0:  15%|█▌        | 283/1875 [00:03<00:20, 78.19it/s, v_num=5, train_loss=1.190]
Epoch 0:  15%|█▌        | 284/1875 [00:03<00:20, 78.20it/s, v_num=5, train_loss=1.190]
Epoch 0:  15%|█▌        | 284/1875 [00:03<00:20, 78.20it/s, v_num=5, train_loss=1.010]
Epoch 0:  15%|█▌        | 285/1875 [00:03<00:20, 78.20it/s, v_num=5, train_loss=1.010]
Epoch 0:  15%|█▌        | 285/1875 [00:03<00:20, 78.20it/s, v_num=5, train_loss=0.981]
Epoch 0:  15%|█▌        | 286/1875 [00:03<00:20, 78.20it/s, v_num=5, train_loss=0.981]
Epoch 0:  15%|█▌        | 286/1875 [00:03<00:20, 78.20it/s, v_num=5, train_loss=1.100]
Epoch 0:  15%|█▌        | 287/1875 [00:03<00:20, 78.21it/s, v_num=5, train_loss=1.100]
Epoch 0:  15%|█▌        | 287/1875 [00:03<00:20, 78.20it/s, v_num=5, train_loss=1.180]
Epoch 0:  15%|█▌        | 288/1875 [00:03<00:20, 78.21it/s, v_num=5, train_loss=1.180]
Epoch 0:  15%|█▌        | 288/1875 [00:03<00:20, 78.21it/s, v_num=5, train_loss=1.260]
Epoch 0:  15%|█▌        | 289/1875 [00:03<00:20, 78.21it/s, v_num=5, train_loss=1.260]
Epoch 0:  15%|█▌        | 289/1875 [00:03<00:20, 78.21it/s, v_num=5, train_loss=0.998]
Epoch 0:  15%|█▌        | 290/1875 [00:03<00:20, 78.21it/s, v_num=5, train_loss=0.998]
Epoch 0:  15%|█▌        | 290/1875 [00:03<00:20, 78.21it/s, v_num=5, train_loss=0.869]
Epoch 0:  16%|█▌        | 291/1875 [00:03<00:20, 78.22it/s, v_num=5, train_loss=0.869]
Epoch 0:  16%|█▌        | 291/1875 [00:03<00:20, 78.21it/s, v_num=5, train_loss=1.060]
Epoch 0:  16%|█▌        | 292/1875 [00:03<00:20, 78.22it/s, v_num=5, train_loss=1.060]
Epoch 0:  16%|█▌        | 292/1875 [00:03<00:20, 78.22it/s, v_num=5, train_loss=0.881]
Epoch 0:  16%|█▌        | 293/1875 [00:03<00:20, 78.22it/s, v_num=5, train_loss=0.881]
Epoch 0:  16%|█▌        | 293/1875 [00:03<00:20, 78.22it/s, v_num=5, train_loss=1.160]
Epoch 0:  16%|█▌        | 294/1875 [00:03<00:20, 78.23it/s, v_num=5, train_loss=1.160]
Epoch 0:  16%|█▌        | 294/1875 [00:03<00:20, 78.22it/s, v_num=5, train_loss=0.646]
Epoch 0:  16%|█▌        | 295/1875 [00:03<00:20, 78.22it/s, v_num=5, train_loss=0.646]
Epoch 0:  16%|█▌        | 295/1875 [00:03<00:20, 78.22it/s, v_num=5, train_loss=1.190]
Epoch 0:  16%|█▌        | 296/1875 [00:03<00:20, 78.21it/s, v_num=5, train_loss=1.190]
Epoch 0:  16%|█▌        | 296/1875 [00:03<00:20, 78.20it/s, v_num=5, train_loss=1.250]
Epoch 0:  16%|█▌        | 297/1875 [00:03<00:20, 78.21it/s, v_num=5, train_loss=1.250]
Epoch 0:  16%|█▌        | 297/1875 [00:03<00:20, 78.21it/s, v_num=5, train_loss=1.140]
Epoch 0:  16%|█▌        | 298/1875 [00:03<00:20, 78.21it/s, v_num=5, train_loss=1.140]
Epoch 0:  16%|█▌        | 298/1875 [00:03<00:20, 78.21it/s, v_num=5, train_loss=1.210]
Epoch 0:  16%|█▌        | 299/1875 [00:03<00:20, 78.21it/s, v_num=5, train_loss=1.210]
Epoch 0:  16%|█▌        | 299/1875 [00:03<00:20, 78.21it/s, v_num=5, train_loss=0.768]
Epoch 0:  16%|█▌        | 300/1875 [00:03<00:20, 78.21it/s, v_num=5, train_loss=0.768]
Epoch 0:  16%|█▌        | 300/1875 [00:03<00:20, 78.21it/s, v_num=5, train_loss=0.842]
Epoch 0:  16%|█▌        | 301/1875 [00:03<00:20, 78.21it/s, v_num=5, train_loss=0.842]
Epoch 0:  16%|█▌        | 301/1875 [00:03<00:20, 78.20it/s, v_num=5, train_loss=1.190]
Epoch 0:  16%|█▌        | 302/1875 [00:03<00:20, 78.21it/s, v_num=5, train_loss=1.190]
Epoch 0:  16%|█▌        | 302/1875 [00:03<00:20, 78.20it/s, v_num=5, train_loss=1.970]
Epoch 0:  16%|█▌        | 303/1875 [00:03<00:20, 78.21it/s, v_num=5, train_loss=1.970]
Epoch 0:  16%|█▌        | 303/1875 [00:03<00:20, 78.21it/s, v_num=5, train_loss=1.860]
Epoch 0:  16%|█▌        | 304/1875 [00:03<00:20, 78.22it/s, v_num=5, train_loss=1.860]
Epoch 0:  16%|█▌        | 304/1875 [00:03<00:20, 78.21it/s, v_num=5, train_loss=1.260]
Epoch 0:  16%|█▋        | 305/1875 [00:03<00:20, 78.22it/s, v_num=5, train_loss=1.260]
Epoch 0:  16%|█▋        | 305/1875 [00:03<00:20, 78.21it/s, v_num=5, train_loss=1.160]
Epoch 0:  16%|█▋        | 306/1875 [00:03<00:20, 78.22it/s, v_num=5, train_loss=1.160]
Epoch 0:  16%|█▋        | 306/1875 [00:03<00:20, 78.22it/s, v_num=5, train_loss=1.330]
Epoch 0:  16%|█▋        | 307/1875 [00:03<00:20, 78.23it/s, v_num=5, train_loss=1.330]
Epoch 0:  16%|█▋        | 307/1875 [00:03<00:20, 78.22it/s, v_num=5, train_loss=1.090]
Epoch 0:  16%|█▋        | 308/1875 [00:03<00:20, 78.23it/s, v_num=5, train_loss=1.090]
Epoch 0:  16%|█▋        | 308/1875 [00:03<00:20, 78.22it/s, v_num=5, train_loss=1.000]
Epoch 0:  16%|█▋        | 309/1875 [00:03<00:20, 78.23it/s, v_num=5, train_loss=1.000]
Epoch 0:  16%|█▋        | 309/1875 [00:03<00:20, 78.22it/s, v_num=5, train_loss=0.865]
Epoch 0:  17%|█▋        | 310/1875 [00:03<00:20, 78.23it/s, v_num=5, train_loss=0.865]
Epoch 0:  17%|█▋        | 310/1875 [00:03<00:20, 78.23it/s, v_num=5, train_loss=1.220]
Epoch 0:  17%|█▋        | 311/1875 [00:03<00:19, 78.23it/s, v_num=5, train_loss=1.220]
Epoch 0:  17%|█▋        | 311/1875 [00:03<00:19, 78.23it/s, v_num=5, train_loss=1.210]
Epoch 0:  17%|█▋        | 312/1875 [00:03<00:19, 78.24it/s, v_num=5, train_loss=1.210]
Epoch 0:  17%|█▋        | 312/1875 [00:03<00:19, 78.23it/s, v_num=5, train_loss=0.828]
Epoch 0:  17%|█▋        | 313/1875 [00:04<00:19, 78.24it/s, v_num=5, train_loss=0.828]
Epoch 0:  17%|█▋        | 313/1875 [00:04<00:19, 78.24it/s, v_num=5, train_loss=0.787]
Epoch 0:  17%|█▋        | 314/1875 [00:04<00:19, 78.24it/s, v_num=5, train_loss=0.787]
Epoch 0:  17%|█▋        | 314/1875 [00:04<00:19, 78.24it/s, v_num=5, train_loss=0.922]
Epoch 0:  17%|█▋        | 315/1875 [00:04<00:19, 78.25it/s, v_num=5, train_loss=0.922]
Epoch 0:  17%|█▋        | 315/1875 [00:04<00:19, 78.24it/s, v_num=5, train_loss=1.090]
Epoch 0:  17%|█▋        | 316/1875 [00:04<00:19, 78.25it/s, v_num=5, train_loss=1.090]
Epoch 0:  17%|█▋        | 316/1875 [00:04<00:19, 78.24it/s, v_num=5, train_loss=0.924]
Epoch 0:  17%|█▋        | 317/1875 [00:04<00:19, 78.25it/s, v_num=5, train_loss=0.924]
Epoch 0:  17%|█▋        | 317/1875 [00:04<00:19, 78.25it/s, v_num=5, train_loss=0.890]
Epoch 0:  17%|█▋        | 318/1875 [00:04<00:19, 78.25it/s, v_num=5, train_loss=0.890]
Epoch 0:  17%|█▋        | 318/1875 [00:04<00:19, 78.25it/s, v_num=5, train_loss=0.657]
Epoch 0:  17%|█▋        | 319/1875 [00:04<00:19, 78.26it/s, v_num=5, train_loss=0.657]
Epoch 0:  17%|█▋        | 319/1875 [00:04<00:19, 78.25it/s, v_num=5, train_loss=0.817]
Epoch 0:  17%|█▋        | 320/1875 [00:04<00:19, 78.26it/s, v_num=5, train_loss=0.817]
Epoch 0:  17%|█▋        | 320/1875 [00:04<00:19, 78.25it/s, v_num=5, train_loss=1.360]
Epoch 0:  17%|█▋        | 321/1875 [00:04<00:19, 78.26it/s, v_num=5, train_loss=1.360]
Epoch 0:  17%|█▋        | 321/1875 [00:04<00:19, 78.26it/s, v_num=5, train_loss=1.580]
Epoch 0:  17%|█▋        | 322/1875 [00:04<00:19, 78.26it/s, v_num=5, train_loss=1.580]
Epoch 0:  17%|█▋        | 322/1875 [00:04<00:19, 78.26it/s, v_num=5, train_loss=1.030]
Epoch 0:  17%|█▋        | 323/1875 [00:04<00:19, 78.27it/s, v_num=5, train_loss=1.030]
Epoch 0:  17%|█▋        | 323/1875 [00:04<00:19, 78.26it/s, v_num=5, train_loss=1.010]
Epoch 0:  17%|█▋        | 324/1875 [00:04<00:19, 78.27it/s, v_num=5, train_loss=1.010]
Epoch 0:  17%|█▋        | 324/1875 [00:04<00:19, 78.26it/s, v_num=5, train_loss=0.818]
Epoch 0:  17%|█▋        | 325/1875 [00:04<00:19, 78.27it/s, v_num=5, train_loss=0.818]
Epoch 0:  17%|█▋        | 325/1875 [00:04<00:19, 78.26it/s, v_num=5, train_loss=0.755]
Epoch 0:  17%|█▋        | 326/1875 [00:04<00:19, 78.27it/s, v_num=5, train_loss=0.755]
Epoch 0:  17%|█▋        | 326/1875 [00:04<00:19, 78.27it/s, v_num=5, train_loss=0.973]
Epoch 0:  17%|█▋        | 327/1875 [00:04<00:19, 78.27it/s, v_num=5, train_loss=0.973]
Epoch 0:  17%|█▋        | 327/1875 [00:04<00:19, 78.26it/s, v_num=5, train_loss=0.865]
Epoch 0:  17%|█▋        | 328/1875 [00:04<00:19, 78.27it/s, v_num=5, train_loss=0.865]
Epoch 0:  17%|█▋        | 328/1875 [00:04<00:19, 78.26it/s, v_num=5, train_loss=0.814]
Epoch 0:  18%|█▊        | 329/1875 [00:04<00:19, 78.27it/s, v_num=5, train_loss=0.814]
Epoch 0:  18%|█▊        | 329/1875 [00:04<00:19, 78.26it/s, v_num=5, train_loss=0.718]
Epoch 0:  18%|█▊        | 330/1875 [00:04<00:19, 78.27it/s, v_num=5, train_loss=0.718]
Epoch 0:  18%|█▊        | 330/1875 [00:04<00:19, 78.27it/s, v_num=5, train_loss=0.621]
Epoch 0:  18%|█▊        | 331/1875 [00:04<00:19, 78.27it/s, v_num=5, train_loss=0.621]
Epoch 0:  18%|█▊        | 331/1875 [00:04<00:19, 78.27it/s, v_num=5, train_loss=0.737]
Epoch 0:  18%|█▊        | 332/1875 [00:04<00:19, 78.27it/s, v_num=5, train_loss=0.737]
Epoch 0:  18%|█▊        | 332/1875 [00:04<00:19, 78.27it/s, v_num=5, train_loss=1.010]
Epoch 0:  18%|█▊        | 333/1875 [00:04<00:19, 78.28it/s, v_num=5, train_loss=1.010]
Epoch 0:  18%|█▊        | 333/1875 [00:04<00:19, 78.27it/s, v_num=5, train_loss=0.780]
Epoch 0:  18%|█▊        | 334/1875 [00:04<00:19, 78.28it/s, v_num=5, train_loss=0.780]
Epoch 0:  18%|█▊        | 334/1875 [00:04<00:19, 78.27it/s, v_num=5, train_loss=1.350]
Epoch 0:  18%|█▊        | 335/1875 [00:04<00:19, 78.28it/s, v_num=5, train_loss=1.350]
Epoch 0:  18%|█▊        | 335/1875 [00:04<00:19, 78.28it/s, v_num=5, train_loss=1.030]
Epoch 0:  18%|█▊        | 336/1875 [00:04<00:19, 78.28it/s, v_num=5, train_loss=1.030]
Epoch 0:  18%|█▊        | 336/1875 [00:04<00:19, 78.27it/s, v_num=5, train_loss=0.848]
Epoch 0:  18%|█▊        | 337/1875 [00:04<00:19, 78.28it/s, v_num=5, train_loss=0.848]
Epoch 0:  18%|█▊        | 337/1875 [00:04<00:19, 78.28it/s, v_num=5, train_loss=0.675]
Epoch 0:  18%|█▊        | 338/1875 [00:04<00:19, 78.28it/s, v_num=5, train_loss=0.675]
Epoch 0:  18%|█▊        | 338/1875 [00:04<00:19, 78.28it/s, v_num=5, train_loss=0.904]
Epoch 0:  18%|█▊        | 339/1875 [00:04<00:19, 78.29it/s, v_num=5, train_loss=0.904]
Epoch 0:  18%|█▊        | 339/1875 [00:04<00:19, 78.28it/s, v_num=5, train_loss=1.220]
Epoch 0:  18%|█▊        | 340/1875 [00:04<00:19, 78.29it/s, v_num=5, train_loss=1.220]
Epoch 0:  18%|█▊        | 340/1875 [00:04<00:19, 78.29it/s, v_num=5, train_loss=1.510]
Epoch 0:  18%|█▊        | 341/1875 [00:04<00:19, 78.29it/s, v_num=5, train_loss=1.510]
Epoch 0:  18%|█▊        | 341/1875 [00:04<00:19, 78.29it/s, v_num=5, train_loss=1.220]
Epoch 0:  18%|█▊        | 342/1875 [00:04<00:19, 78.29it/s, v_num=5, train_loss=1.220]
Epoch 0:  18%|█▊        | 342/1875 [00:04<00:19, 78.29it/s, v_num=5, train_loss=0.779]
Epoch 0:  18%|█▊        | 343/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.779]
Epoch 0:  18%|█▊        | 343/1875 [00:04<00:19, 78.29it/s, v_num=5, train_loss=0.963]
Epoch 0:  18%|█▊        | 344/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.963]
Epoch 0:  18%|█▊        | 344/1875 [00:04<00:19, 78.29it/s, v_num=5, train_loss=0.519]
Epoch 0:  18%|█▊        | 345/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.519]
Epoch 0:  18%|█▊        | 345/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.804]
Epoch 0:  18%|█▊        | 346/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.804]
Epoch 0:  18%|█▊        | 346/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.708]
Epoch 0:  19%|█▊        | 347/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.708]
Epoch 0:  19%|█▊        | 347/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.988]
Epoch 0:  19%|█▊        | 348/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.988]
Epoch 0:  19%|█▊        | 348/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.881]
Epoch 0:  19%|█▊        | 349/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.881]
Epoch 0:  19%|█▊        | 349/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=1.040]
Epoch 0:  19%|█▊        | 350/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=1.040]
Epoch 0:  19%|█▊        | 350/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=1.180]
Epoch 0:  19%|█▊        | 351/1875 [00:04<00:19, 78.29it/s, v_num=5, train_loss=1.180]
Epoch 0:  19%|█▊        | 351/1875 [00:04<00:19, 78.29it/s, v_num=5, train_loss=0.907]
Epoch 0:  19%|█▉        | 352/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.907]
Epoch 0:  19%|█▉        | 352/1875 [00:04<00:19, 78.29it/s, v_num=5, train_loss=0.596]
Epoch 0:  19%|█▉        | 353/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.596]
Epoch 0:  19%|█▉        | 353/1875 [00:04<00:19, 78.29it/s, v_num=5, train_loss=0.621]
Epoch 0:  19%|█▉        | 354/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.621]
Epoch 0:  19%|█▉        | 354/1875 [00:04<00:19, 78.29it/s, v_num=5, train_loss=0.766]
Epoch 0:  19%|█▉        | 355/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.766]
Epoch 0:  19%|█▉        | 355/1875 [00:04<00:19, 78.29it/s, v_num=5, train_loss=0.871]
Epoch 0:  19%|█▉        | 356/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.871]
Epoch 0:  19%|█▉        | 356/1875 [00:04<00:19, 78.29it/s, v_num=5, train_loss=0.893]
Epoch 0:  19%|█▉        | 357/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.893]
Epoch 0:  19%|█▉        | 357/1875 [00:04<00:19, 78.29it/s, v_num=5, train_loss=1.000]
Epoch 0:  19%|█▉        | 358/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=1.000]
Epoch 0:  19%|█▉        | 358/1875 [00:04<00:19, 78.29it/s, v_num=5, train_loss=0.777]
Epoch 0:  19%|█▉        | 359/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.777]
Epoch 0:  19%|█▉        | 359/1875 [00:04<00:19, 78.29it/s, v_num=5, train_loss=0.709]
Epoch 0:  19%|█▉        | 360/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.709]
Epoch 0:  19%|█▉        | 360/1875 [00:04<00:19, 78.29it/s, v_num=5, train_loss=0.943]
Epoch 0:  19%|█▉        | 361/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.943]
Epoch 0:  19%|█▉        | 361/1875 [00:04<00:19, 78.29it/s, v_num=5, train_loss=0.930]
Epoch 0:  19%|█▉        | 362/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.930]
Epoch 0:  19%|█▉        | 362/1875 [00:04<00:19, 78.29it/s, v_num=5, train_loss=1.200]
Epoch 0:  19%|█▉        | 363/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=1.200]
Epoch 0:  19%|█▉        | 363/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.846]
Epoch 0:  19%|█▉        | 364/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.846]
Epoch 0:  19%|█▉        | 364/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.885]
Epoch 0:  19%|█▉        | 365/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.885]
Epoch 0:  19%|█▉        | 365/1875 [00:04<00:19, 78.29it/s, v_num=5, train_loss=0.698]
Epoch 0:  20%|█▉        | 366/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.698]
Epoch 0:  20%|█▉        | 366/1875 [00:04<00:19, 78.29it/s, v_num=5, train_loss=0.674]
Epoch 0:  20%|█▉        | 367/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.674]
Epoch 0:  20%|█▉        | 367/1875 [00:04<00:19, 78.29it/s, v_num=5, train_loss=0.671]
Epoch 0:  20%|█▉        | 368/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.671]
Epoch 0:  20%|█▉        | 368/1875 [00:04<00:19, 78.29it/s, v_num=5, train_loss=0.723]
Epoch 0:  20%|█▉        | 369/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.723]
Epoch 0:  20%|█▉        | 369/1875 [00:04<00:19, 78.29it/s, v_num=5, train_loss=0.776]
Epoch 0:  20%|█▉        | 370/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.776]
Epoch 0:  20%|█▉        | 370/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.974]
Epoch 0:  20%|█▉        | 371/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.974]
Epoch 0:  20%|█▉        | 371/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.944]
Epoch 0:  20%|█▉        | 372/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.944]
Epoch 0:  20%|█▉        | 372/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.879]
Epoch 0:  20%|█▉        | 373/1875 [00:04<00:19, 78.31it/s, v_num=5, train_loss=0.879]
Epoch 0:  20%|█▉        | 373/1875 [00:04<00:19, 78.30it/s, v_num=5, train_loss=0.911]
Epoch 0:  20%|█▉        | 374/1875 [00:04<00:19, 78.31it/s, v_num=5, train_loss=0.911]
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Epoch 0:  25%|██▌       | 477/1875 [00:06<00:17, 78.30it/s, v_num=5, train_loss=0.772]
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Epoch 0:  25%|██▌       | 478/1875 [00:06<00:17, 78.30it/s, v_num=5, train_loss=0.954]
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Epoch 0:  26%|██▌       | 487/1875 [00:06<00:17, 78.31it/s, v_num=5, train_loss=0.836]
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Epoch 0:  26%|██▌       | 488/1875 [00:06<00:17, 78.31it/s, v_num=5, train_loss=0.344]
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Epoch 0:  26%|██▋       | 495/1875 [00:06<00:17, 78.32it/s, v_num=5, train_loss=0.463]
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Epoch 0:  26%|██▋       | 496/1875 [00:06<00:17, 78.32it/s, v_num=5, train_loss=0.683]
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Epoch 0:  27%|██▋       | 497/1875 [00:06<00:17, 78.32it/s, v_num=5, train_loss=1.210]
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Epoch 0:  27%|██▋       | 498/1875 [00:06<00:17, 78.33it/s, v_num=5, train_loss=1.360]
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Epoch 0:  27%|██▋       | 499/1875 [00:06<00:17, 78.33it/s, v_num=5, train_loss=0.898]
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Epoch 0:  27%|██▋       | 500/1875 [00:06<00:17, 78.33it/s, v_num=5, train_loss=1.080]
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Epoch 0:  33%|███▎      | 622/1875 [00:07<00:15, 78.40it/s, v_num=5, train_loss=0.340]
Epoch 0:  33%|███▎      | 622/1875 [00:07<00:15, 78.40it/s, v_num=5, train_loss=0.372]
Epoch 0:  33%|███▎      | 623/1875 [00:07<00:15, 78.40it/s, v_num=5, train_loss=0.372]
Epoch 0:  33%|███▎      | 623/1875 [00:07<00:15, 78.40it/s, v_num=5, train_loss=0.454]
Epoch 0:  33%|███▎      | 624/1875 [00:07<00:15, 78.40it/s, v_num=5, train_loss=0.454]
Epoch 0:  33%|███▎      | 624/1875 [00:07<00:15, 78.40it/s, v_num=5, train_loss=0.275]
Epoch 0:  33%|███▎      | 625/1875 [00:07<00:15, 78.40it/s, v_num=5, train_loss=0.275]
Epoch 0:  33%|███▎      | 625/1875 [00:07<00:15, 78.40it/s, v_num=5, train_loss=0.260]
Epoch 0:  33%|███▎      | 626/1875 [00:07<00:15, 78.40it/s, v_num=5, train_loss=0.260]
Epoch 0:  33%|███▎      | 626/1875 [00:07<00:15, 78.40it/s, v_num=5, train_loss=0.316]
Epoch 0:  33%|███▎      | 627/1875 [00:07<00:15, 78.41it/s, v_num=5, train_loss=0.316]
Epoch 0:  33%|███▎      | 627/1875 [00:07<00:15, 78.40it/s, v_num=5, train_loss=0.580]
Epoch 0:  33%|███▎      | 628/1875 [00:08<00:15, 78.41it/s, v_num=5, train_loss=0.580]
Epoch 0:  33%|███▎      | 628/1875 [00:08<00:15, 78.40it/s, v_num=5, train_loss=0.261]
Epoch 0:  34%|███▎      | 629/1875 [00:08<00:15, 78.41it/s, v_num=5, train_loss=0.261]
Epoch 0:  34%|███▎      | 629/1875 [00:08<00:15, 78.41it/s, v_num=5, train_loss=0.281]
Epoch 0:  34%|███▎      | 630/1875 [00:08<00:15, 78.41it/s, v_num=5, train_loss=0.281]
Epoch 0:  34%|███▎      | 630/1875 [00:08<00:15, 78.41it/s, v_num=5, train_loss=0.440]
Epoch 0:  34%|███▎      | 631/1875 [00:08<00:15, 78.41it/s, v_num=5, train_loss=0.440]
Epoch 0:  34%|███▎      | 631/1875 [00:08<00:15, 78.41it/s, v_num=5, train_loss=0.217]
Epoch 0:  34%|███▎      | 632/1875 [00:08<00:15, 78.41it/s, v_num=5, train_loss=0.217]
Epoch 0:  34%|███▎      | 632/1875 [00:08<00:15, 78.41it/s, v_num=5, train_loss=0.305]
Epoch 0:  34%|███▍      | 633/1875 [00:08<00:15, 78.41it/s, v_num=5, train_loss=0.305]
Epoch 0:  34%|███▍      | 633/1875 [00:08<00:15, 78.41it/s, v_num=5, train_loss=0.381]
Epoch 0:  34%|███▍      | 634/1875 [00:08<00:15, 78.41it/s, v_num=5, train_loss=0.381]
Epoch 0:  34%|███▍      | 634/1875 [00:08<00:15, 78.41it/s, v_num=5, train_loss=0.328]
Epoch 0:  34%|███▍      | 635/1875 [00:08<00:15, 78.40it/s, v_num=5, train_loss=0.328]
Epoch 0:  34%|███▍      | 635/1875 [00:08<00:15, 78.40it/s, v_num=5, train_loss=0.497]
Epoch 0:  34%|███▍      | 636/1875 [00:08<00:15, 78.40it/s, v_num=5, train_loss=0.497]
Epoch 0:  34%|███▍      | 636/1875 [00:08<00:15, 78.40it/s, v_num=5, train_loss=0.737]
Epoch 0:  34%|███▍      | 637/1875 [00:08<00:15, 78.40it/s, v_num=5, train_loss=0.737]
Epoch 0:  34%|███▍      | 637/1875 [00:08<00:15, 78.40it/s, v_num=5, train_loss=0.519]
Epoch 0:  34%|███▍      | 638/1875 [00:08<00:15, 78.40it/s, v_num=5, train_loss=0.519]
Epoch 0:  34%|███▍      | 638/1875 [00:08<00:15, 78.40it/s, v_num=5, train_loss=1.260]
Epoch 0:  34%|███▍      | 639/1875 [00:08<00:15, 78.40it/s, v_num=5, train_loss=1.260]
Epoch 0:  34%|███▍      | 639/1875 [00:08<00:15, 78.40it/s, v_num=5, train_loss=0.433]
Epoch 0:  34%|███▍      | 640/1875 [00:08<00:15, 78.39it/s, v_num=5, train_loss=0.433]
Epoch 0:  34%|███▍      | 640/1875 [00:08<00:15, 78.39it/s, v_num=5, train_loss=0.365]
Epoch 0:  34%|███▍      | 641/1875 [00:08<00:15, 78.39it/s, v_num=5, train_loss=0.365]
Epoch 0:  34%|███▍      | 641/1875 [00:08<00:15, 78.38it/s, v_num=5, train_loss=0.454]
Epoch 0:  34%|███▍      | 642/1875 [00:08<00:15, 78.39it/s, v_num=5, train_loss=0.454]
Epoch 0:  34%|███▍      | 642/1875 [00:08<00:15, 78.39it/s, v_num=5, train_loss=0.295]
Epoch 0:  34%|███▍      | 643/1875 [00:08<00:15, 78.38it/s, v_num=5, train_loss=0.295]
Epoch 0:  34%|███▍      | 643/1875 [00:08<00:15, 78.38it/s, v_num=5, train_loss=0.490]
Epoch 0:  34%|███▍      | 644/1875 [00:08<00:15, 78.38it/s, v_num=5, train_loss=0.490]
Epoch 0:  34%|███▍      | 644/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.757]
Epoch 0:  34%|███▍      | 645/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.757]
Epoch 0:  34%|███▍      | 645/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.181]
Epoch 0:  34%|███▍      | 646/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.181]
Epoch 0:  34%|███▍      | 646/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.113]
Epoch 0:  35%|███▍      | 647/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.113]
Epoch 0:  35%|███▍      | 647/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.382]
Epoch 0:  35%|███▍      | 648/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.382]
Epoch 0:  35%|███▍      | 648/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.359]
Epoch 0:  35%|███▍      | 649/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.359]
Epoch 0:  35%|███▍      | 649/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.159]
Epoch 0:  35%|███▍      | 650/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.159]
Epoch 0:  35%|███▍      | 650/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.333]
Epoch 0:  35%|███▍      | 651/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.333]
Epoch 0:  35%|███▍      | 651/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.383]
Epoch 0:  35%|███▍      | 652/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.383]
Epoch 0:  35%|███▍      | 652/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.401]
Epoch 0:  35%|███▍      | 653/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.401]
Epoch 0:  35%|███▍      | 653/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.433]
Epoch 0:  35%|███▍      | 654/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.433]
Epoch 0:  35%|███▍      | 654/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.777]
Epoch 0:  35%|███▍      | 655/1875 [00:08<00:15, 78.35it/s, v_num=5, train_loss=0.777]
Epoch 0:  35%|███▍      | 655/1875 [00:08<00:15, 78.35it/s, v_num=5, train_loss=0.295]
Epoch 0:  35%|███▍      | 656/1875 [00:08<00:15, 78.35it/s, v_num=5, train_loss=0.295]
Epoch 0:  35%|███▍      | 656/1875 [00:08<00:15, 78.35it/s, v_num=5, train_loss=0.423]
Epoch 0:  35%|███▌      | 657/1875 [00:08<00:15, 78.35it/s, v_num=5, train_loss=0.423]
Epoch 0:  35%|███▌      | 657/1875 [00:08<00:15, 78.35it/s, v_num=5, train_loss=0.423]
Epoch 0:  35%|███▌      | 658/1875 [00:08<00:15, 78.35it/s, v_num=5, train_loss=0.423]
Epoch 0:  35%|███▌      | 658/1875 [00:08<00:15, 78.35it/s, v_num=5, train_loss=0.376]
Epoch 0:  35%|███▌      | 659/1875 [00:08<00:15, 78.35it/s, v_num=5, train_loss=0.376]
Epoch 0:  35%|███▌      | 659/1875 [00:08<00:15, 78.35it/s, v_num=5, train_loss=0.469]
Epoch 0:  35%|███▌      | 660/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.469]
Epoch 0:  35%|███▌      | 660/1875 [00:08<00:15, 78.35it/s, v_num=5, train_loss=0.418]
Epoch 0:  35%|███▌      | 661/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.418]
Epoch 0:  35%|███▌      | 661/1875 [00:08<00:15, 78.35it/s, v_num=5, train_loss=0.373]
Epoch 0:  35%|███▌      | 662/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.373]
Epoch 0:  35%|███▌      | 662/1875 [00:08<00:15, 78.35it/s, v_num=5, train_loss=0.383]
Epoch 0:  35%|███▌      | 663/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.383]
Epoch 0:  35%|███▌      | 663/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.319]
Epoch 0:  35%|███▌      | 664/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.319]
Epoch 0:  35%|███▌      | 664/1875 [00:08<00:15, 78.35it/s, v_num=5, train_loss=0.521]
Epoch 0:  35%|███▌      | 665/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.521]
Epoch 0:  35%|███▌      | 665/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.599]
Epoch 0:  36%|███▌      | 666/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.599]
Epoch 0:  36%|███▌      | 666/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.705]
Epoch 0:  36%|███▌      | 667/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.705]
Epoch 0:  36%|███▌      | 667/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.348]
Epoch 0:  36%|███▌      | 668/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.348]
Epoch 0:  36%|███▌      | 668/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.479]
Epoch 0:  36%|███▌      | 669/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.479]
Epoch 0:  36%|███▌      | 669/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.542]
Epoch 0:  36%|███▌      | 670/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.542]
Epoch 0:  36%|███▌      | 670/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.225]
Epoch 0:  36%|███▌      | 671/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.225]
Epoch 0:  36%|███▌      | 671/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.563]
Epoch 0:  36%|███▌      | 672/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.563]
Epoch 0:  36%|███▌      | 672/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.287]
Epoch 0:  36%|███▌      | 673/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.287]
Epoch 0:  36%|███▌      | 673/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.310]
Epoch 0:  36%|███▌      | 674/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.310]
Epoch 0:  36%|███▌      | 674/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.231]
Epoch 0:  36%|███▌      | 675/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.231]
Epoch 0:  36%|███▌      | 675/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.609]
Epoch 0:  36%|███▌      | 676/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.609]
Epoch 0:  36%|███▌      | 676/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.267]
Epoch 0:  36%|███▌      | 677/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.267]
Epoch 0:  36%|███▌      | 677/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.272]
Epoch 0:  36%|███▌      | 678/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.272]
Epoch 0:  36%|███▌      | 678/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.316]
Epoch 0:  36%|███▌      | 679/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.316]
Epoch 0:  36%|███▌      | 679/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.475]
Epoch 0:  36%|███▋      | 680/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.475]
Epoch 0:  36%|███▋      | 680/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.217]
Epoch 0:  36%|███▋      | 681/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.217]
Epoch 0:  36%|███▋      | 681/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.428]
Epoch 0:  36%|███▋      | 682/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.428]
Epoch 0:  36%|███▋      | 682/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.367]
Epoch 0:  36%|███▋      | 683/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.367]
Epoch 0:  36%|███▋      | 683/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.180]
Epoch 0:  36%|███▋      | 684/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.180]
Epoch 0:  36%|███▋      | 684/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.633]
Epoch 0:  37%|███▋      | 685/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.633]
Epoch 0:  37%|███▋      | 685/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.589]
Epoch 0:  37%|███▋      | 686/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.589]
Epoch 0:  37%|███▋      | 686/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.443]
Epoch 0:  37%|███▋      | 687/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.443]
Epoch 0:  37%|███▋      | 687/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.292]
Epoch 0:  37%|███▋      | 688/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.292]
Epoch 0:  37%|███▋      | 688/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.260]
Epoch 0:  37%|███▋      | 689/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.260]
Epoch 0:  37%|███▋      | 689/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.625]
Epoch 0:  37%|███▋      | 690/1875 [00:08<00:15, 78.38it/s, v_num=5, train_loss=0.625]
Epoch 0:  37%|███▋      | 690/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.442]
Epoch 0:  37%|███▋      | 691/1875 [00:08<00:15, 78.38it/s, v_num=5, train_loss=0.442]
Epoch 0:  37%|███▋      | 691/1875 [00:08<00:15, 78.37it/s, v_num=5, train_loss=0.581]
Epoch 0:  37%|███▋      | 692/1875 [00:08<00:15, 78.38it/s, v_num=5, train_loss=0.581]
Epoch 0:  37%|███▋      | 692/1875 [00:08<00:15, 78.38it/s, v_num=5, train_loss=0.217]
Epoch 0:  37%|███▋      | 693/1875 [00:08<00:15, 78.38it/s, v_num=5, train_loss=0.217]
Epoch 0:  37%|███▋      | 693/1875 [00:08<00:15, 78.38it/s, v_num=5, train_loss=0.586]
Epoch 0:  37%|███▋      | 694/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=0.586]
Epoch 0:  37%|███▋      | 694/1875 [00:08<00:15, 78.36it/s, v_num=5, train_loss=1.030]
Epoch 0:  37%|███▋      | 695/1875 [00:08<00:15, 78.34it/s, v_num=5, train_loss=1.030]
Epoch 0:  37%|███▋      | 695/1875 [00:08<00:15, 78.34it/s, v_num=5, train_loss=0.357]
Epoch 0:  37%|███▋      | 696/1875 [00:08<00:15, 78.34it/s, v_num=5, train_loss=0.357]
Epoch 0:  37%|███▋      | 696/1875 [00:08<00:15, 78.34it/s, v_num=5, train_loss=0.338]
Epoch 0:  37%|███▋      | 697/1875 [00:08<00:15, 78.34it/s, v_num=5, train_loss=0.338]
Epoch 0:  37%|███▋      | 697/1875 [00:08<00:15, 78.34it/s, v_num=5, train_loss=0.623]
Epoch 0:  37%|███▋      | 698/1875 [00:08<00:15, 78.34it/s, v_num=5, train_loss=0.623]
Epoch 0:  37%|███▋      | 698/1875 [00:08<00:15, 78.34it/s, v_num=5, train_loss=0.431]
Epoch 0:  37%|███▋      | 699/1875 [00:08<00:15, 78.34it/s, v_num=5, train_loss=0.431]
Epoch 0:  37%|███▋      | 699/1875 [00:08<00:15, 78.34it/s, v_num=5, train_loss=0.271]
Epoch 0:  37%|███▋      | 700/1875 [00:08<00:14, 78.34it/s, v_num=5, train_loss=0.271]
Epoch 0:  37%|███▋      | 700/1875 [00:08<00:14, 78.34it/s, v_num=5, train_loss=0.199]
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Epoch 0:  37%|███▋      | 701/1875 [00:08<00:14, 78.34it/s, v_num=5, train_loss=0.423]
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Epoch 0:  37%|███▋      | 702/1875 [00:08<00:14, 78.34it/s, v_num=5, train_loss=0.382]
Epoch 0:  37%|███▋      | 703/1875 [00:08<00:14, 78.34it/s, v_num=5, train_loss=0.382]
Epoch 0:  37%|███▋      | 703/1875 [00:08<00:14, 78.34it/s, v_num=5, train_loss=0.449]
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Epoch 0:  38%|███▊      | 704/1875 [00:08<00:14, 78.34it/s, v_num=5, train_loss=0.183]
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Epoch 0:  38%|███▊      | 705/1875 [00:08<00:14, 78.34it/s, v_num=5, train_loss=0.159]
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Epoch 0:  38%|███▊      | 706/1875 [00:09<00:14, 78.34it/s, v_num=5, train_loss=0.428]
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Epoch 0:  38%|███▊      | 707/1875 [00:09<00:14, 78.34it/s, v_num=5, train_loss=0.732]
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Epoch 0:  38%|███▊      | 708/1875 [00:09<00:14, 78.34it/s, v_num=5, train_loss=0.269]
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Epoch 0:  38%|███▊      | 710/1875 [00:09<00:14, 78.34it/s, v_num=5, train_loss=0.622]
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Epoch 0:  38%|███▊      | 711/1875 [00:09<00:14, 78.35it/s, v_num=5, train_loss=0.152]
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Epoch 0:  38%|███▊      | 712/1875 [00:09<00:14, 78.35it/s, v_num=5, train_loss=0.228]
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Epoch 0:  38%|███▊      | 713/1875 [00:09<00:14, 78.35it/s, v_num=5, train_loss=0.275]
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Epoch 0:  38%|███▊      | 714/1875 [00:09<00:14, 78.35it/s, v_num=5, train_loss=0.195]
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Epoch 0:  38%|███▊      | 715/1875 [00:09<00:14, 78.35it/s, v_num=5, train_loss=0.169]
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Epoch 0:  38%|███▊      | 716/1875 [00:09<00:14, 78.35it/s, v_num=5, train_loss=0.576]
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Epoch 0:  38%|███▊      | 717/1875 [00:09<00:14, 78.35it/s, v_num=5, train_loss=0.443]
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Epoch 0:  38%|███▊      | 719/1875 [00:09<00:14, 78.35it/s, v_num=5, train_loss=0.287]
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Epoch 0:  38%|███▊      | 720/1875 [00:09<00:14, 78.35it/s, v_num=5, train_loss=0.233]
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Epoch 0:  39%|███▊      | 724/1875 [00:09<00:14, 78.36it/s, v_num=5, train_loss=0.546]
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Epoch 0:  39%|███▊      | 725/1875 [00:09<00:14, 78.36it/s, v_num=5, train_loss=0.502]
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Epoch 0:  39%|███▊      | 726/1875 [00:09<00:14, 78.36it/s, v_num=5, train_loss=0.937]
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Epoch 0:  39%|███▉      | 727/1875 [00:09<00:14, 78.36it/s, v_num=5, train_loss=0.376]
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Epoch 0:  39%|███▉      | 728/1875 [00:09<00:14, 78.36it/s, v_num=5, train_loss=0.168]
Epoch 0:  39%|███▉      | 729/1875 [00:09<00:14, 78.36it/s, v_num=5, train_loss=0.168]
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Epoch 0:  39%|███▉      | 730/1875 [00:09<00:14, 78.36it/s, v_num=5, train_loss=0.270]
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Epoch 0:  39%|███▉      | 731/1875 [00:09<00:14, 78.36it/s, v_num=5, train_loss=0.319]
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Epoch 0:  39%|███▉      | 734/1875 [00:09<00:14, 78.37it/s, v_num=5, train_loss=0.584]
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Epoch 0:  39%|███▉      | 735/1875 [00:09<00:14, 78.37it/s, v_num=5, train_loss=0.668]
Epoch 0:  39%|███▉      | 736/1875 [00:09<00:14, 78.37it/s, v_num=5, train_loss=0.668]
Epoch 0:  39%|███▉      | 736/1875 [00:09<00:14, 78.37it/s, v_num=5, train_loss=0.217]
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Epoch 0:  39%|███▉      | 737/1875 [00:09<00:14, 78.37it/s, v_num=5, train_loss=0.373]
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Epoch 0:  39%|███▉      | 738/1875 [00:09<00:14, 78.37it/s, v_num=5, train_loss=0.802]
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Epoch 0:  39%|███▉      | 739/1875 [00:09<00:14, 78.37it/s, v_num=5, train_loss=0.806]
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Epoch 0:  39%|███▉      | 740/1875 [00:09<00:14, 78.37it/s, v_num=5, train_loss=0.464]
Epoch 0:  40%|███▉      | 741/1875 [00:09<00:14, 78.37it/s, v_num=5, train_loss=0.464]
Epoch 0:  40%|███▉      | 741/1875 [00:09<00:14, 78.37it/s, v_num=5, train_loss=0.324]
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Epoch 0:  40%|███▉      | 745/1875 [00:09<00:14, 78.38it/s, v_num=5, train_loss=0.580]
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Epoch 0:  40%|████      | 751/1875 [00:09<00:14, 78.38it/s, v_num=5, train_loss=0.336]
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Epoch 0:  40%|████      | 754/1875 [00:09<00:14, 78.38it/s, v_num=5, train_loss=0.471]
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Epoch 0:  40%|████      | 756/1875 [00:09<00:14, 78.38it/s, v_num=5, train_loss=0.630]
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Epoch 0:  41%|████      | 760/1875 [00:09<00:14, 78.39it/s, v_num=5, train_loss=0.529]
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Epoch 0:  41%|████      | 765/1875 [00:09<00:14, 78.39it/s, v_num=5, train_loss=0.181]
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Epoch 0:  41%|████▏     | 777/1875 [00:09<00:14, 78.39it/s, v_num=5, train_loss=0.553]
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Epoch 0:  41%|████▏     | 778/1875 [00:09<00:13, 78.39it/s, v_num=5, train_loss=0.603]
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Epoch 0:  42%|████▏     | 779/1875 [00:09<00:13, 78.39it/s, v_num=5, train_loss=0.252]
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Epoch 0:  42%|████▏     | 780/1875 [00:09<00:13, 78.39it/s, v_num=5, train_loss=0.796]
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Epoch 0:  42%|████▏     | 781/1875 [00:09<00:13, 78.39it/s, v_num=5, train_loss=0.285]
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Epoch 0:  42%|████▏     | 782/1875 [00:09<00:13, 78.40it/s, v_num=5, train_loss=0.497]
Epoch 0:  42%|████▏     | 783/1875 [00:09<00:13, 78.40it/s, v_num=5, train_loss=0.497]
Epoch 0:  42%|████▏     | 783/1875 [00:09<00:13, 78.40it/s, v_num=5, train_loss=0.344]
Epoch 0:  42%|████▏     | 784/1875 [00:10<00:13, 78.40it/s, v_num=5, train_loss=0.344]
Epoch 0:  42%|████▏     | 784/1875 [00:10<00:13, 78.40it/s, v_num=5, train_loss=0.413]
Epoch 0:  42%|████▏     | 785/1875 [00:10<00:13, 78.40it/s, v_num=5, train_loss=0.413]
Epoch 0:  42%|████▏     | 785/1875 [00:10<00:13, 78.40it/s, v_num=5, train_loss=0.293]
Epoch 0:  42%|████▏     | 786/1875 [00:10<00:13, 78.40it/s, v_num=5, train_loss=0.293]
Epoch 0:  42%|████▏     | 786/1875 [00:10<00:13, 78.40it/s, v_num=5, train_loss=0.226]
Epoch 0:  42%|████▏     | 787/1875 [00:10<00:13, 78.40it/s, v_num=5, train_loss=0.226]
Epoch 0:  42%|████▏     | 787/1875 [00:10<00:13, 78.40it/s, v_num=5, train_loss=0.311]
Epoch 0:  42%|████▏     | 788/1875 [00:10<00:13, 78.40it/s, v_num=5, train_loss=0.311]
Epoch 0:  42%|████▏     | 788/1875 [00:10<00:13, 78.40it/s, v_num=5, train_loss=0.169]
Epoch 0:  42%|████▏     | 789/1875 [00:10<00:13, 78.40it/s, v_num=5, train_loss=0.169]
Epoch 0:  42%|████▏     | 789/1875 [00:10<00:13, 78.40it/s, v_num=5, train_loss=0.498]
Epoch 0:  42%|████▏     | 790/1875 [00:10<00:13, 78.40it/s, v_num=5, train_loss=0.498]
Epoch 0:  42%|████▏     | 790/1875 [00:10<00:13, 78.40it/s, v_num=5, train_loss=0.192]
Epoch 0:  42%|████▏     | 791/1875 [00:10<00:13, 78.40it/s, v_num=5, train_loss=0.192]
Epoch 0:  42%|████▏     | 791/1875 [00:10<00:13, 78.40it/s, v_num=5, train_loss=0.227]
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Epoch 0:  42%|████▏     | 792/1875 [00:10<00:13, 78.40it/s, v_num=5, train_loss=0.123]
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Epoch 0:  42%|████▏     | 793/1875 [00:10<00:13, 78.40it/s, v_num=5, train_loss=0.393]
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Epoch 0:  42%|████▏     | 794/1875 [00:10<00:13, 78.40it/s, v_num=5, train_loss=0.517]
Epoch 0:  42%|████▏     | 795/1875 [00:10<00:13, 78.41it/s, v_num=5, train_loss=0.517]
Epoch 0:  42%|████▏     | 795/1875 [00:10<00:13, 78.40it/s, v_num=5, train_loss=0.291]
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Epoch 0:  42%|████▏     | 796/1875 [00:10<00:13, 78.40it/s, v_num=5, train_loss=0.306]
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Epoch 0:  43%|████▎     | 797/1875 [00:10<00:13, 78.41it/s, v_num=5, train_loss=0.378]
Epoch 0:  43%|████▎     | 798/1875 [00:10<00:13, 78.41it/s, v_num=5, train_loss=0.378]
Epoch 0:  43%|████▎     | 798/1875 [00:10<00:13, 78.41it/s, v_num=5, train_loss=0.180]
Epoch 0:  43%|████▎     | 799/1875 [00:10<00:13, 78.41it/s, v_num=5, train_loss=0.180]
Epoch 0:  43%|████▎     | 799/1875 [00:10<00:13, 78.41it/s, v_num=5, train_loss=0.622]
Epoch 0:  43%|████▎     | 800/1875 [00:10<00:13, 78.41it/s, v_num=5, train_loss=0.622]
Epoch 0:  43%|████▎     | 800/1875 [00:10<00:13, 78.41it/s, v_num=5, train_loss=0.103]
Epoch 0:  43%|████▎     | 801/1875 [00:10<00:13, 78.40it/s, v_num=5, train_loss=0.103]
Epoch 0:  43%|████▎     | 801/1875 [00:10<00:13, 78.40it/s, v_num=5, train_loss=0.427]
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Epoch 0:  43%|████▎     | 802/1875 [00:10<00:13, 78.40it/s, v_num=5, train_loss=0.282]
Epoch 0:  43%|████▎     | 803/1875 [00:10<00:13, 78.41it/s, v_num=5, train_loss=0.282]
Epoch 0:  43%|████▎     | 803/1875 [00:10<00:13, 78.40it/s, v_num=5, train_loss=0.429]
Epoch 0:  43%|████▎     | 804/1875 [00:10<00:13, 78.41it/s, v_num=5, train_loss=0.429]
Epoch 0:  43%|████▎     | 804/1875 [00:10<00:13, 78.41it/s, v_num=5, train_loss=0.160]
Epoch 0:  43%|████▎     | 805/1875 [00:10<00:13, 78.41it/s, v_num=5, train_loss=0.160]
Epoch 0:  43%|████▎     | 805/1875 [00:10<00:13, 78.41it/s, v_num=5, train_loss=0.418]
Epoch 0:  43%|████▎     | 806/1875 [00:10<00:13, 78.41it/s, v_num=5, train_loss=0.418]
Epoch 0:  43%|████▎     | 806/1875 [00:10<00:13, 78.41it/s, v_num=5, train_loss=0.163]
Epoch 0:  43%|████▎     | 807/1875 [00:10<00:13, 78.41it/s, v_num=5, train_loss=0.163]
Epoch 0:  43%|████▎     | 807/1875 [00:10<00:13, 78.41it/s, v_num=5, train_loss=0.120]
Epoch 0:  43%|████▎     | 808/1875 [00:10<00:13, 78.41it/s, v_num=5, train_loss=0.120]
Epoch 0:  43%|████▎     | 808/1875 [00:10<00:13, 78.41it/s, v_num=5, train_loss=0.310]
Epoch 0:  43%|████▎     | 809/1875 [00:10<00:13, 78.41it/s, v_num=5, train_loss=0.310]
Epoch 0:  43%|████▎     | 809/1875 [00:10<00:13, 78.41it/s, v_num=5, train_loss=0.387]
Epoch 0:  43%|████▎     | 810/1875 [00:10<00:13, 78.41it/s, v_num=5, train_loss=0.387]
Epoch 0:  43%|████▎     | 810/1875 [00:10<00:13, 78.41it/s, v_num=5, train_loss=0.223]
Epoch 0:  43%|████▎     | 811/1875 [00:10<00:13, 78.41it/s, v_num=5, train_loss=0.223]
Epoch 0:  43%|████▎     | 811/1875 [00:10<00:13, 78.41it/s, v_num=5, train_loss=0.504]
Epoch 0:  43%|████▎     | 812/1875 [00:10<00:13, 78.41it/s, v_num=5, train_loss=0.504]
Epoch 0:  43%|████▎     | 812/1875 [00:10<00:13, 78.41it/s, v_num=5, train_loss=0.421]
Epoch 0:  43%|████▎     | 813/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.421]
Epoch 0:  43%|████▎     | 813/1875 [00:10<00:13, 78.41it/s, v_num=5, train_loss=0.236]
Epoch 0:  43%|████▎     | 814/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.236]
Epoch 0:  43%|████▎     | 814/1875 [00:10<00:13, 78.41it/s, v_num=5, train_loss=0.345]
Epoch 0:  43%|████▎     | 815/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.345]
Epoch 0:  43%|████▎     | 815/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.108]
Epoch 0:  44%|████▎     | 816/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.108]
Epoch 0:  44%|████▎     | 816/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.287]
Epoch 0:  44%|████▎     | 817/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.287]
Epoch 0:  44%|████▎     | 817/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.950]
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Epoch 0:  44%|████▎     | 818/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.323]
Epoch 0:  44%|████▎     | 819/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.323]
Epoch 0:  44%|████▎     | 819/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.369]
Epoch 0:  44%|████▎     | 820/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.369]
Epoch 0:  44%|████▎     | 820/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.165]
Epoch 0:  44%|████▍     | 821/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.165]
Epoch 0:  44%|████▍     | 821/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.279]
Epoch 0:  44%|████▍     | 822/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.279]
Epoch 0:  44%|████▍     | 822/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.234]
Epoch 0:  44%|████▍     | 823/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.234]
Epoch 0:  44%|████▍     | 823/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.200]
Epoch 0:  44%|████▍     | 824/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.200]
Epoch 0:  44%|████▍     | 824/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.156]
Epoch 0:  44%|████▍     | 825/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.156]
Epoch 0:  44%|████▍     | 825/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.278]
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Epoch 0:  44%|████▍     | 826/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.434]
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Epoch 0:  44%|████▍     | 827/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.248]
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Epoch 0:  44%|████▍     | 828/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.0971]
Epoch 0:  44%|████▍     | 829/1875 [00:10<00:13, 78.43it/s, v_num=5, train_loss=0.0971]
Epoch 0:  44%|████▍     | 829/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.264]
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Epoch 0:  44%|████▍     | 830/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.222]
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Epoch 0:  44%|████▍     | 831/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.167]
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Epoch 0:  44%|████▍     | 832/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.0804]
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Epoch 0:  44%|████▍     | 833/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.0599]
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Epoch 0:  45%|████▍     | 835/1875 [00:10<00:13, 78.43it/s, v_num=5, train_loss=0.0748]
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Epoch 0:  45%|████▍     | 836/1875 [00:10<00:13, 78.43it/s, v_num=5, train_loss=0.516]
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Epoch 0:  45%|████▍     | 837/1875 [00:10<00:13, 78.43it/s, v_num=5, train_loss=0.423]
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Epoch 0:  45%|████▍     | 838/1875 [00:10<00:13, 78.43it/s, v_num=5, train_loss=0.274]
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Epoch 0:  45%|████▍     | 839/1875 [00:10<00:13, 78.43it/s, v_num=5, train_loss=0.566]
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Epoch 0:  45%|████▍     | 840/1875 [00:10<00:13, 78.43it/s, v_num=5, train_loss=0.216]
Epoch 0:  45%|████▍     | 841/1875 [00:10<00:13, 78.43it/s, v_num=5, train_loss=0.216]
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Epoch 0:  45%|████▍     | 843/1875 [00:10<00:13, 78.43it/s, v_num=5, train_loss=0.215]
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Epoch 0:  45%|████▌     | 844/1875 [00:10<00:13, 78.43it/s, v_num=5, train_loss=0.296]
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Epoch 0:  45%|████▌     | 845/1875 [00:10<00:13, 78.43it/s, v_num=5, train_loss=0.277]
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Epoch 0:  45%|████▌     | 847/1875 [00:10<00:13, 78.43it/s, v_num=5, train_loss=0.196]
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Epoch 0:  45%|████▌     | 848/1875 [00:10<00:13, 78.43it/s, v_num=5, train_loss=0.329]
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Epoch 0:  46%|████▌     | 854/1875 [00:10<00:13, 78.42it/s, v_num=5, train_loss=0.289]
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Epoch 0:  46%|████▌     | 856/1875 [00:10<00:12, 78.41it/s, v_num=5, train_loss=0.421]
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Epoch 0:  46%|████▌     | 860/1875 [00:10<00:12, 78.41it/s, v_num=5, train_loss=0.444]
Epoch 0:  46%|████▌     | 861/1875 [00:10<00:12, 78.41it/s, v_num=5, train_loss=0.444]
Epoch 0:  46%|████▌     | 861/1875 [00:10<00:12, 78.41it/s, v_num=5, train_loss=0.626]
Epoch 0:  46%|████▌     | 862/1875 [00:10<00:12, 78.41it/s, v_num=5, train_loss=0.626]
Epoch 0:  46%|████▌     | 862/1875 [00:10<00:12, 78.41it/s, v_num=5, train_loss=0.141]
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Epoch 0:  46%|████▌     | 863/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.310]
Epoch 0:  46%|████▌     | 864/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.310]
Epoch 0:  46%|████▌     | 864/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.436]
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Epoch 0:  46%|████▌     | 865/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.417]
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Epoch 0:  46%|████▌     | 866/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.505]
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Epoch 0:  46%|████▌     | 867/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.217]
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Epoch 0:  46%|████▋     | 868/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.205]
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Epoch 0:  46%|████▋     | 869/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.175]
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Epoch 0:  46%|████▋     | 870/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.325]
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Epoch 0:  46%|████▋     | 871/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.483]
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Epoch 0:  47%|████▋     | 872/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.455]
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Epoch 0:  47%|████▋     | 873/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.318]
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Epoch 0:  47%|████▋     | 874/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.132]
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Epoch 0:  47%|████▋     | 875/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.240]
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Epoch 0:  47%|████▋     | 876/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.520]
Epoch 0:  47%|████▋     | 877/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.520]
Epoch 0:  47%|████▋     | 877/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.727]
Epoch 0:  47%|████▋     | 878/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.727]
Epoch 0:  47%|████▋     | 878/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.457]
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Epoch 0:  47%|████▋     | 879/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.211]
Epoch 0:  47%|████▋     | 880/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.211]
Epoch 0:  47%|████▋     | 880/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.682]
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Epoch 0:  47%|████▋     | 881/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.551]
Epoch 0:  47%|████▋     | 882/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.551]
Epoch 0:  47%|████▋     | 882/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.423]
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Epoch 0:  47%|████▋     | 883/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.148]
Epoch 0:  47%|████▋     | 884/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.148]
Epoch 0:  47%|████▋     | 884/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.341]
Epoch 0:  47%|████▋     | 885/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.341]
Epoch 0:  47%|████▋     | 885/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.240]
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Epoch 0:  47%|████▋     | 886/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.151]
Epoch 0:  47%|████▋     | 887/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.151]
Epoch 0:  47%|████▋     | 887/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.192]
Epoch 0:  47%|████▋     | 888/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.192]
Epoch 0:  47%|████▋     | 888/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.241]
Epoch 0:  47%|████▋     | 889/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.241]
Epoch 0:  47%|████▋     | 889/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.504]
Epoch 0:  47%|████▋     | 890/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.504]
Epoch 0:  47%|████▋     | 890/1875 [00:11<00:12, 78.40it/s, v_num=5, train_loss=0.523]
Epoch 0:  48%|████▊     | 891/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.523]
Epoch 0:  48%|████▊     | 891/1875 [00:11<00:12, 78.40it/s, v_num=5, train_loss=0.724]
Epoch 0:  48%|████▊     | 892/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.724]
Epoch 0:  48%|████▊     | 892/1875 [00:11<00:12, 78.40it/s, v_num=5, train_loss=0.421]
Epoch 0:  48%|████▊     | 893/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.421]
Epoch 0:  48%|████▊     | 893/1875 [00:11<00:12, 78.40it/s, v_num=5, train_loss=0.253]
Epoch 0:  48%|████▊     | 894/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.253]
Epoch 0:  48%|████▊     | 894/1875 [00:11<00:12, 78.40it/s, v_num=5, train_loss=0.122]
Epoch 0:  48%|████▊     | 895/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.122]
Epoch 0:  48%|████▊     | 895/1875 [00:11<00:12, 78.40it/s, v_num=5, train_loss=0.317]
Epoch 0:  48%|████▊     | 896/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.317]
Epoch 0:  48%|████▊     | 896/1875 [00:11<00:12, 78.40it/s, v_num=5, train_loss=0.386]
Epoch 0:  48%|████▊     | 897/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.386]
Epoch 0:  48%|████▊     | 897/1875 [00:11<00:12, 78.40it/s, v_num=5, train_loss=0.309]
Epoch 0:  48%|████▊     | 898/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.309]
Epoch 0:  48%|████▊     | 898/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.471]
Epoch 0:  48%|████▊     | 899/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.471]
Epoch 0:  48%|████▊     | 899/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.752]
Epoch 0:  48%|████▊     | 900/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.752]
Epoch 0:  48%|████▊     | 900/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.283]
Epoch 0:  48%|████▊     | 901/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.283]
Epoch 0:  48%|████▊     | 901/1875 [00:11<00:12, 78.40it/s, v_num=5, train_loss=0.498]
Epoch 0:  48%|████▊     | 902/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.498]
Epoch 0:  48%|████▊     | 902/1875 [00:11<00:12, 78.40it/s, v_num=5, train_loss=0.191]
Epoch 0:  48%|████▊     | 903/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.191]
Epoch 0:  48%|████▊     | 903/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.216]
Epoch 0:  48%|████▊     | 904/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.216]
Epoch 0:  48%|████▊     | 904/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.178]
Epoch 0:  48%|████▊     | 905/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.178]
Epoch 0:  48%|████▊     | 905/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.380]
Epoch 0:  48%|████▊     | 906/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.380]
Epoch 0:  48%|████▊     | 906/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.138]
Epoch 0:  48%|████▊     | 907/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.138]
Epoch 0:  48%|████▊     | 907/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.385]
Epoch 0:  48%|████▊     | 908/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.385]
Epoch 0:  48%|████▊     | 908/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.290]
Epoch 0:  48%|████▊     | 909/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.290]
Epoch 0:  48%|████▊     | 909/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.457]
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Epoch 0:  49%|████▊     | 910/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.403]
Epoch 0:  49%|████▊     | 911/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.403]
Epoch 0:  49%|████▊     | 911/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.383]
Epoch 0:  49%|████▊     | 912/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.383]
Epoch 0:  49%|████▊     | 912/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.243]
Epoch 0:  49%|████▊     | 913/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.243]
Epoch 0:  49%|████▊     | 913/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.328]
Epoch 0:  49%|████▊     | 914/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.328]
Epoch 0:  49%|████▊     | 914/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.339]
Epoch 0:  49%|████▉     | 915/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.339]
Epoch 0:  49%|████▉     | 915/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.368]
Epoch 0:  49%|████▉     | 916/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.368]
Epoch 0:  49%|████▉     | 916/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.365]
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Epoch 0:  49%|████▉     | 917/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.0801]
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Epoch 0:  49%|████▉     | 918/1875 [00:11<00:12, 78.41it/s, v_num=5, train_loss=0.208]
Epoch 0:  49%|████▉     | 919/1875 [00:11<00:12, 78.42it/s, v_num=5, train_loss=0.208]
Epoch 0:  49%|████▉     | 919/1875 [00:11<00:12, 78.42it/s, v_num=5, train_loss=0.283]
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Epoch 0:  49%|████▉     | 920/1875 [00:11<00:12, 78.42it/s, v_num=5, train_loss=0.129]
Epoch 0:  49%|████▉     | 921/1875 [00:11<00:12, 78.42it/s, v_num=5, train_loss=0.129]
Epoch 0:  49%|████▉     | 921/1875 [00:11<00:12, 78.42it/s, v_num=5, train_loss=0.257]
Epoch 0:  49%|████▉     | 922/1875 [00:11<00:12, 78.42it/s, v_num=5, train_loss=0.257]
Epoch 0:  49%|████▉     | 922/1875 [00:11<00:12, 78.42it/s, v_num=5, train_loss=0.471]
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Epoch 0:  49%|████▉     | 924/1875 [00:11<00:12, 78.42it/s, v_num=5, train_loss=0.119]
Epoch 0:  49%|████▉     | 925/1875 [00:11<00:12, 78.42it/s, v_num=5, train_loss=0.119]
Epoch 0:  49%|████▉     | 925/1875 [00:11<00:12, 78.42it/s, v_num=5, train_loss=0.466]
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Epoch 0:  49%|████▉     | 926/1875 [00:11<00:12, 78.42it/s, v_num=5, train_loss=0.706]
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Epoch 0:  49%|████▉     | 927/1875 [00:11<00:12, 78.42it/s, v_num=5, train_loss=0.961]
Epoch 0:  49%|████▉     | 928/1875 [00:11<00:12, 78.42it/s, v_num=5, train_loss=0.961]
Epoch 0:  49%|████▉     | 928/1875 [00:11<00:12, 78.42it/s, v_num=5, train_loss=0.243]
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Epoch 0:  50%|████▉     | 930/1875 [00:11<00:12, 78.42it/s, v_num=5, train_loss=0.279]
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Epoch 0:  50%|████▉     | 931/1875 [00:11<00:12, 78.43it/s, v_num=5, train_loss=0.353]
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Epoch 0:  50%|████▉     | 932/1875 [00:11<00:12, 78.43it/s, v_num=5, train_loss=0.670]
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Epoch 0:  50%|████▉     | 933/1875 [00:11<00:12, 78.43it/s, v_num=5, train_loss=0.457]
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Epoch 0:  50%|████▉     | 934/1875 [00:11<00:11, 78.43it/s, v_num=5, train_loss=0.128]
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Epoch 0:  50%|████▉     | 935/1875 [00:11<00:11, 78.42it/s, v_num=5, train_loss=0.167]
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Epoch 0:  50%|████▉     | 936/1875 [00:11<00:11, 78.42it/s, v_num=5, train_loss=0.138]
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Epoch 0:  50%|████▉     | 937/1875 [00:11<00:11, 78.42it/s, v_num=5, train_loss=0.0981]
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Epoch 0:  51%|█████▏    | 961/1875 [00:12<00:11, 78.44it/s, v_num=5, train_loss=0.441]
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Epoch 0:  51%|█████▏    | 963/1875 [00:12<00:11, 78.44it/s, v_num=5, train_loss=0.175]
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Epoch 0:  52%|█████▏    | 966/1875 [00:12<00:11, 78.44it/s, v_num=5, train_loss=0.343]
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Epoch 0:  52%|█████▏    | 967/1875 [00:12<00:11, 78.44it/s, v_num=5, train_loss=0.295]
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Epoch 0:  52%|█████▏    | 968/1875 [00:12<00:11, 78.44it/s, v_num=5, train_loss=0.168]
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Epoch 0:  52%|█████▏    | 969/1875 [00:12<00:11, 78.44it/s, v_num=5, train_loss=0.360]
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Epoch 0:  52%|█████▏    | 970/1875 [00:12<00:11, 78.44it/s, v_num=5, train_loss=0.194]
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Epoch 0:  52%|█████▏    | 971/1875 [00:12<00:11, 78.44it/s, v_num=5, train_loss=0.280]
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Epoch 0:  52%|█████▏    | 973/1875 [00:12<00:11, 78.45it/s, v_num=5, train_loss=0.293]
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Epoch 0:  52%|█████▏    | 974/1875 [00:12<00:11, 78.45it/s, v_num=5, train_loss=0.426]
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Epoch 0:  52%|█████▏    | 977/1875 [00:12<00:11, 78.45it/s, v_num=5, train_loss=0.147]
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Epoch 0:  52%|█████▏    | 978/1875 [00:12<00:11, 78.45it/s, v_num=5, train_loss=0.132]
Epoch 0:  52%|█████▏    | 979/1875 [00:12<00:11, 78.45it/s, v_num=5, train_loss=0.132]
Epoch 0:  52%|█████▏    | 979/1875 [00:12<00:11, 78.45it/s, v_num=5, train_loss=0.129]
Epoch 0:  52%|█████▏    | 980/1875 [00:12<00:11, 78.45it/s, v_num=5, train_loss=0.129]
Epoch 0:  52%|█████▏    | 980/1875 [00:12<00:11, 78.45it/s, v_num=5, train_loss=0.0722]
Epoch 0:  52%|█████▏    | 981/1875 [00:12<00:11, 78.45it/s, v_num=5, train_loss=0.0722]
Epoch 0:  52%|█████▏    | 981/1875 [00:12<00:11, 78.45it/s, v_num=5, train_loss=0.530]
Epoch 0:  52%|█████▏    | 982/1875 [00:12<00:11, 78.45it/s, v_num=5, train_loss=0.530]
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Epoch 0:  52%|█████▏    | 983/1875 [00:12<00:11, 78.45it/s, v_num=5, train_loss=0.284]
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Epoch 0:  53%|█████▎    | 985/1875 [00:12<00:11, 78.45it/s, v_num=5, train_loss=0.211]
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Epoch 0:  53%|█████▎    | 986/1875 [00:12<00:11, 78.45it/s, v_num=5, train_loss=0.389]
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Epoch 0:  53%|█████▎    | 987/1875 [00:12<00:11, 78.45it/s, v_num=5, train_loss=0.187]
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Epoch 0:  53%|█████▎    | 988/1875 [00:12<00:11, 78.45it/s, v_num=5, train_loss=0.361]
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Epoch 0:  53%|█████▎    | 989/1875 [00:12<00:11, 78.45it/s, v_num=5, train_loss=0.176]
Epoch 0:  53%|█████▎    | 990/1875 [00:12<00:11, 78.45it/s, v_num=5, train_loss=0.176]
Epoch 0:  53%|█████▎    | 990/1875 [00:12<00:11, 78.45it/s, v_num=5, train_loss=0.538]
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Epoch 0:  53%|█████▎    | 992/1875 [00:12<00:11, 78.46it/s, v_num=5, train_loss=0.326]
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Epoch 0:  53%|█████▎    | 994/1875 [00:12<00:11, 78.46it/s, v_num=5, train_loss=0.423]
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Epoch 0:  53%|█████▎    | 995/1875 [00:12<00:11, 78.46it/s, v_num=5, train_loss=0.225]
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Epoch 0:  53%|█████▎    | 996/1875 [00:12<00:11, 78.46it/s, v_num=5, train_loss=0.152]
Epoch 0:  53%|█████▎    | 997/1875 [00:12<00:11, 78.46it/s, v_num=5, train_loss=0.152]
Epoch 0:  53%|█████▎    | 997/1875 [00:12<00:11, 78.46it/s, v_num=5, train_loss=0.343]
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Epoch 0:  53%|█████▎    | 998/1875 [00:12<00:11, 78.46it/s, v_num=5, train_loss=0.115]
Epoch 0:  53%|█████▎    | 999/1875 [00:12<00:11, 78.46it/s, v_num=5, train_loss=0.115]
Epoch 0:  53%|█████▎    | 999/1875 [00:12<00:11, 78.46it/s, v_num=5, train_loss=0.322]
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Epoch 0:  53%|█████▎    | 1000/1875 [00:12<00:11, 78.46it/s, v_num=5, train_loss=0.240]
Epoch 0:  53%|█████▎    | 1001/1875 [00:12<00:11, 78.45it/s, v_num=5, train_loss=0.240]
Epoch 0:  53%|█████▎    | 1001/1875 [00:12<00:11, 78.45it/s, v_num=5, train_loss=0.255]
Epoch 0:  53%|█████▎    | 1002/1875 [00:12<00:11, 78.45it/s, v_num=5, train_loss=0.255]
Epoch 0:  53%|█████▎    | 1002/1875 [00:12<00:11, 78.45it/s, v_num=5, train_loss=0.278]
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Epoch 0:  53%|█████▎    | 1003/1875 [00:12<00:11, 78.45it/s, v_num=5, train_loss=0.167]
Epoch 0:  54%|█████▎    | 1004/1875 [00:12<00:11, 78.46it/s, v_num=5, train_loss=0.167]
Epoch 0:  54%|█████▎    | 1004/1875 [00:12<00:11, 78.45it/s, v_num=5, train_loss=0.120]
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Epoch 0:  54%|█████▎    | 1005/1875 [00:12<00:11, 78.46it/s, v_num=5, train_loss=0.322]
Epoch 0:  54%|█████▎    | 1006/1875 [00:12<00:11, 78.46it/s, v_num=5, train_loss=0.322]
Epoch 0:  54%|█████▎    | 1006/1875 [00:12<00:11, 78.46it/s, v_num=5, train_loss=0.294]
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Epoch 0:  54%|█████▎    | 1007/1875 [00:12<00:11, 78.46it/s, v_num=5, train_loss=0.128]
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Epoch 0:  54%|█████▍    | 1008/1875 [00:12<00:11, 78.46it/s, v_num=5, train_loss=0.0689]
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Epoch 0:  54%|█████▍    | 1009/1875 [00:12<00:11, 78.46it/s, v_num=5, train_loss=0.284]
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Epoch 0:  54%|█████▍    | 1011/1875 [00:12<00:11, 78.46it/s, v_num=5, train_loss=0.654]
Epoch 0:  54%|█████▍    | 1011/1875 [00:12<00:11, 78.46it/s, v_num=5, train_loss=0.589]
Epoch 0:  54%|█████▍    | 1012/1875 [00:12<00:10, 78.46it/s, v_num=5, train_loss=0.589]
Epoch 0:  54%|█████▍    | 1012/1875 [00:12<00:10, 78.46it/s, v_num=5, train_loss=0.431]
Epoch 0:  54%|█████▍    | 1013/1875 [00:12<00:10, 78.46it/s, v_num=5, train_loss=0.431]
Epoch 0:  54%|█████▍    | 1013/1875 [00:12<00:10, 78.46it/s, v_num=5, train_loss=0.311]
Epoch 0:  54%|█████▍    | 1014/1875 [00:12<00:10, 78.46it/s, v_num=5, train_loss=0.311]
Epoch 0:  54%|█████▍    | 1014/1875 [00:12<00:10, 78.46it/s, v_num=5, train_loss=0.200]
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Epoch 0:  54%|█████▍    | 1016/1875 [00:12<00:10, 78.45it/s, v_num=5, train_loss=0.310]
Epoch 0:  54%|█████▍    | 1016/1875 [00:12<00:10, 78.45it/s, v_num=5, train_loss=0.642]
Epoch 0:  54%|█████▍    | 1017/1875 [00:12<00:10, 78.45it/s, v_num=5, train_loss=0.642]
Epoch 0:  54%|█████▍    | 1017/1875 [00:12<00:10, 78.45it/s, v_num=5, train_loss=0.332]
Epoch 0:  54%|█████▍    | 1018/1875 [00:12<00:10, 78.45it/s, v_num=5, train_loss=0.332]
Epoch 0:  54%|█████▍    | 1018/1875 [00:12<00:10, 78.45it/s, v_num=5, train_loss=0.374]
Epoch 0:  54%|█████▍    | 1019/1875 [00:12<00:10, 78.45it/s, v_num=5, train_loss=0.374]
Epoch 0:  54%|█████▍    | 1019/1875 [00:12<00:10, 78.45it/s, v_num=5, train_loss=0.202]
Epoch 0:  54%|█████▍    | 1020/1875 [00:13<00:10, 78.45it/s, v_num=5, train_loss=0.202]
Epoch 0:  54%|█████▍    | 1020/1875 [00:13<00:10, 78.45it/s, v_num=5, train_loss=0.173]
Epoch 0:  54%|█████▍    | 1021/1875 [00:13<00:10, 78.45it/s, v_num=5, train_loss=0.173]
Epoch 0:  54%|█████▍    | 1021/1875 [00:13<00:10, 78.45it/s, v_num=5, train_loss=0.293]
Epoch 0:  55%|█████▍    | 1022/1875 [00:13<00:10, 78.45it/s, v_num=5, train_loss=0.293]
Epoch 0:  55%|█████▍    | 1022/1875 [00:13<00:10, 78.45it/s, v_num=5, train_loss=0.344]
Epoch 0:  55%|█████▍    | 1023/1875 [00:13<00:10, 78.45it/s, v_num=5, train_loss=0.344]
Epoch 0:  55%|█████▍    | 1023/1875 [00:13<00:10, 78.45it/s, v_num=5, train_loss=0.327]
Epoch 0:  55%|█████▍    | 1024/1875 [00:13<00:10, 78.45it/s, v_num=5, train_loss=0.327]
Epoch 0:  55%|█████▍    | 1024/1875 [00:13<00:10, 78.45it/s, v_num=5, train_loss=0.113]
Epoch 0:  55%|█████▍    | 1025/1875 [00:13<00:10, 78.45it/s, v_num=5, train_loss=0.113]
Epoch 0:  55%|█████▍    | 1025/1875 [00:13<00:10, 78.45it/s, v_num=5, train_loss=0.510]
Epoch 0:  55%|█████▍    | 1026/1875 [00:13<00:10, 78.45it/s, v_num=5, train_loss=0.510]
Epoch 0:  55%|█████▍    | 1026/1875 [00:13<00:10, 78.45it/s, v_num=5, train_loss=0.892]
Epoch 0:  55%|█████▍    | 1027/1875 [00:13<00:10, 78.45it/s, v_num=5, train_loss=0.892]
Epoch 0:  55%|█████▍    | 1027/1875 [00:13<00:10, 78.45it/s, v_num=5, train_loss=0.550]
Epoch 0:  55%|█████▍    | 1028/1875 [00:13<00:10, 78.45it/s, v_num=5, train_loss=0.550]
Epoch 0:  55%|█████▍    | 1028/1875 [00:13<00:10, 78.45it/s, v_num=5, train_loss=0.268]
Epoch 0:  55%|█████▍    | 1029/1875 [00:13<00:10, 78.45it/s, v_num=5, train_loss=0.268]
Epoch 0:  55%|█████▍    | 1029/1875 [00:13<00:10, 78.45it/s, v_num=5, train_loss=0.301]
Epoch 0:  55%|█████▍    | 1030/1875 [00:13<00:10, 78.45it/s, v_num=5, train_loss=0.301]
Epoch 0:  55%|█████▍    | 1030/1875 [00:13<00:10, 78.45it/s, v_num=5, train_loss=0.0587]
Epoch 0:  55%|█████▍    | 1031/1875 [00:13<00:10, 78.45it/s, v_num=5, train_loss=0.0587]
Epoch 0:  55%|█████▍    | 1031/1875 [00:13<00:10, 78.45it/s, v_num=5, train_loss=0.624]
Epoch 0:  55%|█████▌    | 1032/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.624]
Epoch 0:  55%|█████▌    | 1032/1875 [00:13<00:10, 78.45it/s, v_num=5, train_loss=0.441]
Epoch 0:  55%|█████▌    | 1033/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.441]
Epoch 0:  55%|█████▌    | 1033/1875 [00:13<00:10, 78.45it/s, v_num=5, train_loss=0.172]
Epoch 0:  55%|█████▌    | 1034/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.172]
Epoch 0:  55%|█████▌    | 1034/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.274]
Epoch 0:  55%|█████▌    | 1035/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.274]
Epoch 0:  55%|█████▌    | 1035/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.140]
Epoch 0:  55%|█████▌    | 1036/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.140]
Epoch 0:  55%|█████▌    | 1036/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.327]
Epoch 0:  55%|█████▌    | 1037/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.327]
Epoch 0:  55%|█████▌    | 1037/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.234]
Epoch 0:  55%|█████▌    | 1038/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.234]
Epoch 0:  55%|█████▌    | 1038/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.177]
Epoch 0:  55%|█████▌    | 1039/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.177]
Epoch 0:  55%|█████▌    | 1039/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.236]
Epoch 0:  55%|█████▌    | 1040/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.236]
Epoch 0:  55%|█████▌    | 1040/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.320]
Epoch 0:  56%|█████▌    | 1041/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.320]
Epoch 0:  56%|█████▌    | 1041/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.115]
Epoch 0:  56%|█████▌    | 1042/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.115]
Epoch 0:  56%|█████▌    | 1042/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.117]
Epoch 0:  56%|█████▌    | 1043/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.117]
Epoch 0:  56%|█████▌    | 1043/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.245]
Epoch 0:  56%|█████▌    | 1044/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.245]
Epoch 0:  56%|█████▌    | 1044/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.234]
Epoch 0:  56%|█████▌    | 1045/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.234]
Epoch 0:  56%|█████▌    | 1045/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.445]
Epoch 0:  56%|█████▌    | 1046/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.445]
Epoch 0:  56%|█████▌    | 1046/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.194]
Epoch 0:  56%|█████▌    | 1047/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.194]
Epoch 0:  56%|█████▌    | 1047/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.381]
Epoch 0:  56%|█████▌    | 1048/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.381]
Epoch 0:  56%|█████▌    | 1048/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.213]
Epoch 0:  56%|█████▌    | 1049/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.213]
Epoch 0:  56%|█████▌    | 1049/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.287]
Epoch 0:  56%|█████▌    | 1050/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.287]
Epoch 0:  56%|█████▌    | 1050/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.0964]
Epoch 0:  56%|█████▌    | 1051/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.0964]
Epoch 0:  56%|█████▌    | 1051/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.329]
Epoch 0:  56%|█████▌    | 1052/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.329]
Epoch 0:  56%|█████▌    | 1052/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.218]
Epoch 0:  56%|█████▌    | 1053/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.218]
Epoch 0:  56%|█████▌    | 1053/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.227]
Epoch 0:  56%|█████▌    | 1054/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.227]
Epoch 0:  56%|█████▌    | 1054/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.205]
Epoch 0:  56%|█████▋    | 1055/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.205]
Epoch 0:  56%|█████▋    | 1055/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.375]
Epoch 0:  56%|█████▋    | 1056/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.375]
Epoch 0:  56%|█████▋    | 1056/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.354]
Epoch 0:  56%|█████▋    | 1057/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.354]
Epoch 0:  56%|█████▋    | 1057/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.295]
Epoch 0:  56%|█████▋    | 1058/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.295]
Epoch 0:  56%|█████▋    | 1058/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.222]
Epoch 0:  56%|█████▋    | 1059/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.222]
Epoch 0:  56%|█████▋    | 1059/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.332]
Epoch 0:  57%|█████▋    | 1060/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.332]
Epoch 0:  57%|█████▋    | 1060/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.241]
Epoch 0:  57%|█████▋    | 1061/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.241]
Epoch 0:  57%|█████▋    | 1061/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.144]
Epoch 0:  57%|█████▋    | 1062/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.144]
Epoch 0:  57%|█████▋    | 1062/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.330]
Epoch 0:  57%|█████▋    | 1063/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.330]
Epoch 0:  57%|█████▋    | 1063/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.123]
Epoch 0:  57%|█████▋    | 1064/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.123]
Epoch 0:  57%|█████▋    | 1064/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.414]
Epoch 0:  57%|█████▋    | 1065/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.414]
Epoch 0:  57%|█████▋    | 1065/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.318]
Epoch 0:  57%|█████▋    | 1066/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.318]
Epoch 0:  57%|█████▋    | 1066/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.138]
Epoch 0:  57%|█████▋    | 1067/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.138]
Epoch 0:  57%|█████▋    | 1067/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.227]
Epoch 0:  57%|█████▋    | 1068/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.227]
Epoch 0:  57%|█████▋    | 1068/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.204]
Epoch 0:  57%|█████▋    | 1069/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.204]
Epoch 0:  57%|█████▋    | 1069/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.206]
Epoch 0:  57%|█████▋    | 1070/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.206]
Epoch 0:  57%|█████▋    | 1070/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.307]
Epoch 0:  57%|█████▋    | 1071/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.307]
Epoch 0:  57%|█████▋    | 1071/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.289]
Epoch 0:  57%|█████▋    | 1072/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.289]
Epoch 0:  57%|█████▋    | 1072/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.651]
Epoch 0:  57%|█████▋    | 1073/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.651]
Epoch 0:  57%|█████▋    | 1073/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.536]
Epoch 0:  57%|█████▋    | 1074/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.536]
Epoch 0:  57%|█████▋    | 1074/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.365]
Epoch 0:  57%|█████▋    | 1075/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.365]
Epoch 0:  57%|█████▋    | 1075/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.428]
Epoch 0:  57%|█████▋    | 1076/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.428]
Epoch 0:  57%|█████▋    | 1076/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.188]
Epoch 0:  57%|█████▋    | 1077/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.188]
Epoch 0:  57%|█████▋    | 1077/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.336]
Epoch 0:  57%|█████▋    | 1078/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.336]
Epoch 0:  57%|█████▋    | 1078/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.199]
Epoch 0:  58%|█████▊    | 1079/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.199]
Epoch 0:  58%|█████▊    | 1079/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.118]
Epoch 0:  58%|█████▊    | 1080/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.118]
Epoch 0:  58%|█████▊    | 1080/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.292]
Epoch 0:  58%|█████▊    | 1081/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.292]
Epoch 0:  58%|█████▊    | 1081/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.256]
Epoch 0:  58%|█████▊    | 1082/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.256]
Epoch 0:  58%|█████▊    | 1082/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.129]
Epoch 0:  58%|█████▊    | 1083/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.129]
Epoch 0:  58%|█████▊    | 1083/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.246]
Epoch 0:  58%|█████▊    | 1084/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.246]
Epoch 0:  58%|█████▊    | 1084/1875 [00:13<00:10, 78.46it/s, v_num=5, train_loss=0.408]
Epoch 0:  58%|█████▊    | 1085/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.408]
Epoch 0:  58%|█████▊    | 1085/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.145]
Epoch 0:  58%|█████▊    | 1086/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.145]
Epoch 0:  58%|█████▊    | 1086/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.245]
Epoch 0:  58%|█████▊    | 1087/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.245]
Epoch 0:  58%|█████▊    | 1087/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.341]
Epoch 0:  58%|█████▊    | 1088/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.341]
Epoch 0:  58%|█████▊    | 1088/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.150]
Epoch 0:  58%|█████▊    | 1089/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.150]
Epoch 0:  58%|█████▊    | 1089/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.173]
Epoch 0:  58%|█████▊    | 1090/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.173]
Epoch 0:  58%|█████▊    | 1090/1875 [00:13<00:10, 78.47it/s, v_num=5, train_loss=0.0888]
Epoch 0:  58%|█████▊    | 1091/1875 [00:13<00:09, 78.47it/s, v_num=5, train_loss=0.0888]
Epoch 0:  58%|█████▊    | 1091/1875 [00:13<00:09, 78.47it/s, v_num=5, train_loss=0.358]
Epoch 0:  58%|█████▊    | 1092/1875 [00:13<00:09, 78.47it/s, v_num=5, train_loss=0.358]
Epoch 0:  58%|█████▊    | 1092/1875 [00:13<00:09, 78.47it/s, v_num=5, train_loss=0.232]
Epoch 0:  58%|█████▊    | 1093/1875 [00:13<00:09, 78.47it/s, v_num=5, train_loss=0.232]
Epoch 0:  58%|█████▊    | 1093/1875 [00:13<00:09, 78.47it/s, v_num=5, train_loss=0.0444]
Epoch 0:  58%|█████▊    | 1094/1875 [00:13<00:09, 78.47it/s, v_num=5, train_loss=0.0444]
Epoch 0:  58%|█████▊    | 1094/1875 [00:13<00:09, 78.47it/s, v_num=5, train_loss=0.262]
Epoch 0:  58%|█████▊    | 1095/1875 [00:13<00:09, 78.46it/s, v_num=5, train_loss=0.262]
Epoch 0:  58%|█████▊    | 1095/1875 [00:13<00:09, 78.46it/s, v_num=5, train_loss=0.503]
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Epoch 0:  58%|█████▊    | 1096/1875 [00:13<00:09, 78.46it/s, v_num=5, train_loss=0.304]
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Epoch 0:  59%|█████▊    | 1097/1875 [00:13<00:09, 78.46it/s, v_num=5, train_loss=0.293]
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Epoch 0:  59%|█████▊    | 1098/1875 [00:13<00:09, 78.46it/s, v_num=5, train_loss=0.845]
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Epoch 0:  59%|█████▊    | 1099/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.415]
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Epoch 0:  59%|█████▊    | 1101/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.991]
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Epoch 0:  59%|█████▉    | 1102/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.224]
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Epoch 0:  59%|█████▉    | 1103/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.436]
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Epoch 0:  59%|█████▉    | 1104/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.305]
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Epoch 0:  59%|█████▉    | 1105/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.292]
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Epoch 0:  59%|█████▉    | 1106/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.141]
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Epoch 0:  59%|█████▉    | 1107/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.468]
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Epoch 0:  59%|█████▉    | 1108/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.114]
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Epoch 0:  59%|█████▉    | 1109/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.183]
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Epoch 0:  59%|█████▉    | 1111/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.130]
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Epoch 0:  59%|█████▉    | 1112/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.260]
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Epoch 0:  59%|█████▉    | 1113/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.335]
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Epoch 0:  59%|█████▉    | 1114/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.484]
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Epoch 0:  59%|█████▉    | 1115/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.174]
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Epoch 0:  60%|█████▉    | 1116/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.096]
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Epoch 0:  60%|█████▉    | 1117/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.282]
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Epoch 0:  60%|█████▉    | 1118/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.386]
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Epoch 0:  60%|█████▉    | 1119/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.263]
Epoch 0:  60%|█████▉    | 1120/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.263]
Epoch 0:  60%|█████▉    | 1120/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.202]
Epoch 0:  60%|█████▉    | 1121/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.202]
Epoch 0:  60%|█████▉    | 1121/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.181]
Epoch 0:  60%|█████▉    | 1122/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.181]
Epoch 0:  60%|█████▉    | 1122/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.342]
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Epoch 0:  60%|█████▉    | 1123/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.166]
Epoch 0:  60%|█████▉    | 1124/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.166]
Epoch 0:  60%|█████▉    | 1124/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.150]
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Epoch 0:  60%|██████    | 1126/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.432]
Epoch 0:  60%|██████    | 1126/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.504]
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Epoch 0:  60%|██████    | 1127/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.435]
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Epoch 0:  60%|██████    | 1128/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.900]
Epoch 0:  60%|██████    | 1129/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.900]
Epoch 0:  60%|██████    | 1129/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.204]
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Epoch 0:  60%|██████    | 1130/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.0955]
Epoch 0:  60%|██████    | 1131/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.0955]
Epoch 0:  60%|██████    | 1131/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.239]
Epoch 0:  60%|██████    | 1132/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.239]
Epoch 0:  60%|██████    | 1132/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.172]
Epoch 0:  60%|██████    | 1133/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.172]
Epoch 0:  60%|██████    | 1133/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.482]
Epoch 0:  60%|██████    | 1134/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.482]
Epoch 0:  60%|██████    | 1134/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.363]
Epoch 0:  61%|██████    | 1135/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.363]
Epoch 0:  61%|██████    | 1135/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.0545]
Epoch 0:  61%|██████    | 1136/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.0545]
Epoch 0:  61%|██████    | 1136/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.370]
Epoch 0:  61%|██████    | 1137/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.370]
Epoch 0:  61%|██████    | 1137/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.263]
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Epoch 0:  61%|██████    | 1138/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.209]
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Epoch 0:  61%|██████    | 1139/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.201]
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Epoch 0:  61%|██████    | 1140/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.247]
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Epoch 0:  61%|██████    | 1141/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.251]
Epoch 0:  61%|██████    | 1142/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.251]
Epoch 0:  61%|██████    | 1142/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.320]
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Epoch 0:  61%|██████    | 1143/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.332]
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Epoch 0:  61%|██████    | 1144/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.150]
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Epoch 0:  61%|██████    | 1145/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.140]
Epoch 0:  61%|██████    | 1146/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.140]
Epoch 0:  61%|██████    | 1146/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.0609]
Epoch 0:  61%|██████    | 1147/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.0609]
Epoch 0:  61%|██████    | 1147/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.204]
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Epoch 0:  61%|██████    | 1148/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.473]
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Epoch 0:  61%|██████▏   | 1149/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.147]
Epoch 0:  61%|██████▏   | 1150/1875 [00:14<00:09, 78.47it/s, v_num=5, train_loss=0.147]
Epoch 0:  61%|██████▏   | 1150/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.583]
Epoch 0:  61%|██████▏   | 1151/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.583]
Epoch 0:  61%|██████▏   | 1151/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.116]
Epoch 0:  61%|██████▏   | 1152/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.116]
Epoch 0:  61%|██████▏   | 1152/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.314]
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Epoch 0:  61%|██████▏   | 1153/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.261]
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Epoch 0:  62%|██████▏   | 1155/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.120]
Epoch 0:  62%|██████▏   | 1156/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.120]
Epoch 0:  62%|██████▏   | 1156/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.295]
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Epoch 0:  62%|██████▏   | 1157/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.180]
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Epoch 0:  62%|██████▏   | 1158/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.241]
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Epoch 0:  62%|██████▏   | 1159/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.213]
Epoch 0:  62%|██████▏   | 1160/1875 [00:14<00:09, 78.47it/s, v_num=5, train_loss=0.213]
Epoch 0:  62%|██████▏   | 1160/1875 [00:14<00:09, 78.47it/s, v_num=5, train_loss=0.0843]
Epoch 0:  62%|██████▏   | 1161/1875 [00:14<00:09, 78.47it/s, v_num=5, train_loss=0.0843]
Epoch 0:  62%|██████▏   | 1161/1875 [00:14<00:09, 78.47it/s, v_num=5, train_loss=0.300]
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Epoch 0:  62%|██████▏   | 1162/1875 [00:14<00:09, 78.47it/s, v_num=5, train_loss=0.306]
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Epoch 0:  62%|██████▏   | 1163/1875 [00:14<00:09, 78.47it/s, v_num=5, train_loss=0.269]
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Epoch 0:  62%|██████▏   | 1164/1875 [00:14<00:09, 78.47it/s, v_num=5, train_loss=0.707]
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Epoch 0:  62%|██████▏   | 1165/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.294]
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Epoch 0:  62%|██████▏   | 1166/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.205]
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Epoch 0:  62%|██████▏   | 1167/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.244]
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Epoch 0:  62%|██████▏   | 1168/1875 [00:14<00:09, 78.46it/s, v_num=5, train_loss=0.400]
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Epoch 0:  62%|██████▏   | 1169/1875 [00:14<00:08, 78.46it/s, v_num=5, train_loss=0.142]
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Epoch 0:  62%|██████▏   | 1170/1875 [00:14<00:08, 78.47it/s, v_num=5, train_loss=0.264]
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Epoch 0:  62%|██████▏   | 1171/1875 [00:14<00:08, 78.47it/s, v_num=5, train_loss=0.219]
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Epoch 0:  63%|██████▎   | 1174/1875 [00:14<00:08, 78.46it/s, v_num=5, train_loss=0.378]
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Epoch 0:  63%|██████▎   | 1175/1875 [00:14<00:08, 78.46it/s, v_num=5, train_loss=0.564]
Epoch 0:  63%|██████▎   | 1176/1875 [00:14<00:08, 78.46it/s, v_num=5, train_loss=0.564]
Epoch 0:  63%|██████▎   | 1176/1875 [00:14<00:08, 78.46it/s, v_num=5, train_loss=0.305]
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Epoch 0:  63%|██████▎   | 1177/1875 [00:15<00:08, 78.46it/s, v_num=5, train_loss=0.423]
Epoch 0:  63%|██████▎   | 1178/1875 [00:15<00:08, 78.46it/s, v_num=5, train_loss=0.423]
Epoch 0:  63%|██████▎   | 1178/1875 [00:15<00:08, 78.46it/s, v_num=5, train_loss=0.876]
Epoch 0:  63%|██████▎   | 1179/1875 [00:15<00:08, 78.46it/s, v_num=5, train_loss=0.876]
Epoch 0:  63%|██████▎   | 1179/1875 [00:15<00:08, 78.46it/s, v_num=5, train_loss=0.461]
Epoch 0:  63%|██████▎   | 1180/1875 [00:15<00:08, 78.46it/s, v_num=5, train_loss=0.461]
Epoch 0:  63%|██████▎   | 1180/1875 [00:15<00:08, 78.46it/s, v_num=5, train_loss=0.451]
Epoch 0:  63%|██████▎   | 1181/1875 [00:15<00:08, 78.46it/s, v_num=5, train_loss=0.451]
Epoch 0:  63%|██████▎   | 1181/1875 [00:15<00:08, 78.46it/s, v_num=5, train_loss=1.040]
Epoch 0:  63%|██████▎   | 1182/1875 [00:15<00:08, 78.46it/s, v_num=5, train_loss=1.040]
Epoch 0:  63%|██████▎   | 1182/1875 [00:15<00:08, 78.46it/s, v_num=5, train_loss=0.820]
Epoch 0:  63%|██████▎   | 1183/1875 [00:15<00:08, 78.46it/s, v_num=5, train_loss=0.820]
Epoch 0:  63%|██████▎   | 1183/1875 [00:15<00:08, 78.46it/s, v_num=5, train_loss=0.516]
Epoch 0:  63%|██████▎   | 1184/1875 [00:15<00:08, 78.46it/s, v_num=5, train_loss=0.516]
Epoch 0:  63%|██████▎   | 1184/1875 [00:15<00:08, 78.46it/s, v_num=5, train_loss=0.436]
Epoch 0:  63%|██████▎   | 1185/1875 [00:15<00:08, 78.46it/s, v_num=5, train_loss=0.436]
Epoch 0:  63%|██████▎   | 1185/1875 [00:15<00:08, 78.46it/s, v_num=5, train_loss=0.273]
Epoch 0:  63%|██████▎   | 1186/1875 [00:15<00:08, 78.46it/s, v_num=5, train_loss=0.273]
Epoch 0:  63%|██████▎   | 1186/1875 [00:15<00:08, 78.46it/s, v_num=5, train_loss=0.509]
Epoch 0:  63%|██████▎   | 1187/1875 [00:15<00:08, 78.46it/s, v_num=5, train_loss=0.509]
Epoch 0:  63%|██████▎   | 1187/1875 [00:15<00:08, 78.46it/s, v_num=5, train_loss=0.261]
Epoch 0:  63%|██████▎   | 1188/1875 [00:15<00:08, 78.46it/s, v_num=5, train_loss=0.261]
Epoch 0:  63%|██████▎   | 1188/1875 [00:15<00:08, 78.46it/s, v_num=5, train_loss=0.232]
Epoch 0:  63%|██████▎   | 1189/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.232]
Epoch 0:  63%|██████▎   | 1189/1875 [00:15<00:08, 78.46it/s, v_num=5, train_loss=0.164]
Epoch 0:  63%|██████▎   | 1190/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.164]
Epoch 0:  63%|██████▎   | 1190/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.246]
Epoch 0:  64%|██████▎   | 1191/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.246]
Epoch 0:  64%|██████▎   | 1191/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.151]
Epoch 0:  64%|██████▎   | 1192/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.151]
Epoch 0:  64%|██████▎   | 1192/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.253]
Epoch 0:  64%|██████▎   | 1193/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.253]
Epoch 0:  64%|██████▎   | 1193/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.369]
Epoch 0:  64%|██████▎   | 1194/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.369]
Epoch 0:  64%|██████▎   | 1194/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.333]
Epoch 0:  64%|██████▎   | 1195/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.333]
Epoch 0:  64%|██████▎   | 1195/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.147]
Epoch 0:  64%|██████▍   | 1196/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.147]
Epoch 0:  64%|██████▍   | 1196/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.0724]
Epoch 0:  64%|██████▍   | 1197/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.0724]
Epoch 0:  64%|██████▍   | 1197/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.344]
Epoch 0:  64%|██████▍   | 1198/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.344]
Epoch 0:  64%|██████▍   | 1198/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.613]
Epoch 0:  64%|██████▍   | 1199/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.613]
Epoch 0:  64%|██████▍   | 1199/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.322]
Epoch 0:  64%|██████▍   | 1200/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.322]
Epoch 0:  64%|██████▍   | 1200/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.377]
Epoch 0:  64%|██████▍   | 1201/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.377]
Epoch 0:  64%|██████▍   | 1201/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.257]
Epoch 0:  64%|██████▍   | 1202/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.257]
Epoch 0:  64%|██████▍   | 1202/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.145]
Epoch 0:  64%|██████▍   | 1203/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.145]
Epoch 0:  64%|██████▍   | 1203/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.309]
Epoch 0:  64%|██████▍   | 1204/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.309]
Epoch 0:  64%|██████▍   | 1204/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.150]
Epoch 0:  64%|██████▍   | 1205/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.150]
Epoch 0:  64%|██████▍   | 1205/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.215]
Epoch 0:  64%|██████▍   | 1206/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.215]
Epoch 0:  64%|██████▍   | 1206/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.355]
Epoch 0:  64%|██████▍   | 1207/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.355]
Epoch 0:  64%|██████▍   | 1207/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.498]
Epoch 0:  64%|██████▍   | 1208/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.498]
Epoch 0:  64%|██████▍   | 1208/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.116]
Epoch 0:  64%|██████▍   | 1209/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.116]
Epoch 0:  64%|██████▍   | 1209/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.285]
Epoch 0:  65%|██████▍   | 1210/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.285]
Epoch 0:  65%|██████▍   | 1210/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.372]
Epoch 0:  65%|██████▍   | 1211/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.372]
Epoch 0:  65%|██████▍   | 1211/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.607]
Epoch 0:  65%|██████▍   | 1212/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.607]
Epoch 0:  65%|██████▍   | 1212/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.363]
Epoch 0:  65%|██████▍   | 1213/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.363]
Epoch 0:  65%|██████▍   | 1213/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.164]
Epoch 0:  65%|██████▍   | 1214/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.164]
Epoch 0:  65%|██████▍   | 1214/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.221]
Epoch 0:  65%|██████▍   | 1215/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.221]
Epoch 0:  65%|██████▍   | 1215/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.196]
Epoch 0:  65%|██████▍   | 1216/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.196]
Epoch 0:  65%|██████▍   | 1216/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.265]
Epoch 0:  65%|██████▍   | 1217/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.265]
Epoch 0:  65%|██████▍   | 1217/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.420]
Epoch 0:  65%|██████▍   | 1218/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.420]
Epoch 0:  65%|██████▍   | 1218/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.306]
Epoch 0:  65%|██████▌   | 1219/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.306]
Epoch 0:  65%|██████▌   | 1219/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.377]
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Epoch 0:  65%|██████▌   | 1220/1875 [00:15<00:08, 78.47it/s, v_num=5, train_loss=0.348]
Epoch 0:  65%|██████▌   | 1221/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.348]
Epoch 0:  65%|██████▌   | 1221/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.0502]
Epoch 0:  65%|██████▌   | 1222/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.0502]
Epoch 0:  65%|██████▌   | 1222/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.273]
Epoch 0:  65%|██████▌   | 1223/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.273]
Epoch 0:  65%|██████▌   | 1223/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.109]
Epoch 0:  65%|██████▌   | 1224/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.109]
Epoch 0:  65%|██████▌   | 1224/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.118]
Epoch 0:  65%|██████▌   | 1225/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.118]
Epoch 0:  65%|██████▌   | 1225/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.191]
Epoch 0:  65%|██████▌   | 1226/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.191]
Epoch 0:  65%|██████▌   | 1226/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.133]
Epoch 0:  65%|██████▌   | 1227/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.133]
Epoch 0:  65%|██████▌   | 1227/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.294]
Epoch 0:  65%|██████▌   | 1228/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.294]
Epoch 0:  65%|██████▌   | 1228/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.305]
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Epoch 0:  66%|██████▌   | 1229/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.178]
Epoch 0:  66%|██████▌   | 1230/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.178]
Epoch 0:  66%|██████▌   | 1230/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.208]
Epoch 0:  66%|██████▌   | 1231/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.208]
Epoch 0:  66%|██████▌   | 1231/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.150]
Epoch 0:  66%|██████▌   | 1232/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.150]
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Epoch 0:  66%|██████▌   | 1233/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.150]
Epoch 0:  66%|██████▌   | 1233/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.241]
Epoch 0:  66%|██████▌   | 1234/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.241]
Epoch 0:  66%|██████▌   | 1234/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.272]
Epoch 0:  66%|██████▌   | 1235/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.272]
Epoch 0:  66%|██████▌   | 1235/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.226]
Epoch 0:  66%|██████▌   | 1236/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.226]
Epoch 0:  66%|██████▌   | 1236/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.0849]
Epoch 0:  66%|██████▌   | 1237/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.0849]
Epoch 0:  66%|██████▌   | 1237/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.198]
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Epoch 0:  66%|██████▌   | 1238/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.174]
Epoch 0:  66%|██████▌   | 1239/1875 [00:15<00:08, 78.49it/s, v_num=5, train_loss=0.174]
Epoch 0:  66%|██████▌   | 1239/1875 [00:15<00:08, 78.48it/s, v_num=5, train_loss=0.135]
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Epoch 0:  66%|██████▌   | 1241/1875 [00:15<00:08, 78.49it/s, v_num=5, train_loss=0.137]
Epoch 0:  66%|██████▌   | 1241/1875 [00:15<00:08, 78.49it/s, v_num=5, train_loss=0.109]
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Epoch 0:  66%|██████▌   | 1242/1875 [00:15<00:08, 78.49it/s, v_num=5, train_loss=0.391]
Epoch 0:  66%|██████▋   | 1243/1875 [00:15<00:08, 78.49it/s, v_num=5, train_loss=0.391]
Epoch 0:  66%|██████▋   | 1243/1875 [00:15<00:08, 78.49it/s, v_num=5, train_loss=0.119]
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Epoch 0:  66%|██████▋   | 1244/1875 [00:15<00:08, 78.49it/s, v_num=5, train_loss=0.200]
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Epoch 0:  66%|██████▋   | 1245/1875 [00:15<00:08, 78.49it/s, v_num=5, train_loss=0.235]
Epoch 0:  66%|██████▋   | 1246/1875 [00:15<00:08, 78.49it/s, v_num=5, train_loss=0.235]
Epoch 0:  66%|██████▋   | 1246/1875 [00:15<00:08, 78.49it/s, v_num=5, train_loss=0.212]
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Epoch 0:  67%|██████▋   | 1247/1875 [00:15<00:08, 78.49it/s, v_num=5, train_loss=0.257]
Epoch 0:  67%|██████▋   | 1248/1875 [00:15<00:07, 78.49it/s, v_num=5, train_loss=0.257]
Epoch 0:  67%|██████▋   | 1248/1875 [00:15<00:07, 78.49it/s, v_num=5, train_loss=0.332]
Epoch 0:  67%|██████▋   | 1249/1875 [00:15<00:07, 78.49it/s, v_num=5, train_loss=0.332]
Epoch 0:  67%|██████▋   | 1249/1875 [00:15<00:07, 78.49it/s, v_num=5, train_loss=0.172]
Epoch 0:  67%|██████▋   | 1250/1875 [00:15<00:07, 78.49it/s, v_num=5, train_loss=0.172]
Epoch 0:  67%|██████▋   | 1250/1875 [00:15<00:07, 78.49it/s, v_num=5, train_loss=0.637]
Epoch 0:  67%|██████▋   | 1251/1875 [00:15<00:07, 78.49it/s, v_num=5, train_loss=0.637]
Epoch 0:  67%|██████▋   | 1251/1875 [00:15<00:07, 78.49it/s, v_num=5, train_loss=0.592]
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Epoch 0:  67%|██████▋   | 1252/1875 [00:15<00:07, 78.49it/s, v_num=5, train_loss=0.221]
Epoch 0:  67%|██████▋   | 1253/1875 [00:15<00:07, 78.49it/s, v_num=5, train_loss=0.221]
Epoch 0:  67%|██████▋   | 1253/1875 [00:15<00:07, 78.49it/s, v_num=5, train_loss=0.362]
Epoch 0:  67%|██████▋   | 1254/1875 [00:15<00:07, 78.48it/s, v_num=5, train_loss=0.362]
Epoch 0:  67%|██████▋   | 1254/1875 [00:15<00:07, 78.48it/s, v_num=5, train_loss=0.252]
Epoch 0:  67%|██████▋   | 1255/1875 [00:15<00:07, 78.47it/s, v_num=5, train_loss=0.252]
Epoch 0:  67%|██████▋   | 1255/1875 [00:15<00:07, 78.47it/s, v_num=5, train_loss=0.227]
Epoch 0:  67%|██████▋   | 1256/1875 [00:16<00:07, 78.47it/s, v_num=5, train_loss=0.227]
Epoch 0:  67%|██████▋   | 1256/1875 [00:16<00:07, 78.47it/s, v_num=5, train_loss=0.0766]
Epoch 0:  67%|██████▋   | 1257/1875 [00:16<00:07, 78.47it/s, v_num=5, train_loss=0.0766]
Epoch 0:  67%|██████▋   | 1257/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.406]
Epoch 0:  67%|██████▋   | 1258/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.406]
Epoch 0:  67%|██████▋   | 1258/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.305]
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Epoch 0:  67%|██████▋   | 1259/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.390]
Epoch 0:  67%|██████▋   | 1260/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.390]
Epoch 0:  67%|██████▋   | 1260/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.228]
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Epoch 0:  67%|██████▋   | 1262/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.0593]
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Epoch 0:  67%|██████▋   | 1263/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.231]
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Epoch 0:  67%|██████▋   | 1264/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.134]
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Epoch 0:  67%|██████▋   | 1265/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.0461]
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Epoch 0:  68%|██████▊   | 1266/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.205]
Epoch 0:  68%|██████▊   | 1267/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.205]
Epoch 0:  68%|██████▊   | 1267/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.166]
Epoch 0:  68%|██████▊   | 1268/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.166]
Epoch 0:  68%|██████▊   | 1268/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.0839]
Epoch 0:  68%|██████▊   | 1269/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.0839]
Epoch 0:  68%|██████▊   | 1269/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.080]
Epoch 0:  68%|██████▊   | 1270/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.080]
Epoch 0:  68%|██████▊   | 1270/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.685]
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Epoch 0:  68%|██████▊   | 1271/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.342]
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Epoch 0:  68%|██████▊   | 1272/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.291]
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Epoch 0:  68%|██████▊   | 1273/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.381]
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Epoch 0:  68%|██████▊   | 1274/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.391]
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Epoch 0:  68%|██████▊   | 1275/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.231]
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Epoch 0:  68%|██████▊   | 1276/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.264]
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Epoch 0:  68%|██████▊   | 1277/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.237]
Epoch 0:  68%|██████▊   | 1278/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.237]
Epoch 0:  68%|██████▊   | 1278/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.265]
Epoch 0:  68%|██████▊   | 1279/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.265]
Epoch 0:  68%|██████▊   | 1279/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.291]
Epoch 0:  68%|██████▊   | 1280/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.291]
Epoch 0:  68%|██████▊   | 1280/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.384]
Epoch 0:  68%|██████▊   | 1281/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.384]
Epoch 0:  68%|██████▊   | 1281/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.176]
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Epoch 0:  68%|██████▊   | 1282/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.251]
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Epoch 0:  68%|██████▊   | 1283/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.397]
Epoch 0:  68%|██████▊   | 1284/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.397]
Epoch 0:  68%|██████▊   | 1284/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.235]
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Epoch 0:  69%|██████▊   | 1285/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.143]
Epoch 0:  69%|██████▊   | 1286/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.143]
Epoch 0:  69%|██████▊   | 1286/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.200]
Epoch 0:  69%|██████▊   | 1287/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.200]
Epoch 0:  69%|██████▊   | 1287/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.0922]
Epoch 0:  69%|██████▊   | 1288/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.0922]
Epoch 0:  69%|██████▊   | 1288/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.333]
Epoch 0:  69%|██████▊   | 1289/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.333]
Epoch 0:  69%|██████▊   | 1289/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.556]
Epoch 0:  69%|██████▉   | 1290/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.556]
Epoch 0:  69%|██████▉   | 1290/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.028]
Epoch 0:  69%|██████▉   | 1291/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.028]
Epoch 0:  69%|██████▉   | 1291/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.122]
Epoch 0:  69%|██████▉   | 1292/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.122]
Epoch 0:  69%|██████▉   | 1292/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.337]
Epoch 0:  69%|██████▉   | 1293/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.337]
Epoch 0:  69%|██████▉   | 1293/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.351]
Epoch 0:  69%|██████▉   | 1294/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.351]
Epoch 0:  69%|██████▉   | 1294/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.325]
Epoch 0:  69%|██████▉   | 1295/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.325]
Epoch 0:  69%|██████▉   | 1295/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.174]
Epoch 0:  69%|██████▉   | 1296/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.174]
Epoch 0:  69%|██████▉   | 1296/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.0839]
Epoch 0:  69%|██████▉   | 1297/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.0839]
Epoch 0:  69%|██████▉   | 1297/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.0602]
Epoch 0:  69%|██████▉   | 1298/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.0602]
Epoch 0:  69%|██████▉   | 1298/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.295]
Epoch 0:  69%|██████▉   | 1299/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.295]
Epoch 0:  69%|██████▉   | 1299/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.176]
Epoch 0:  69%|██████▉   | 1300/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.176]
Epoch 0:  69%|██████▉   | 1300/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.195]
Epoch 0:  69%|██████▉   | 1301/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.195]
Epoch 0:  69%|██████▉   | 1301/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.190]
Epoch 0:  69%|██████▉   | 1302/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.190]
Epoch 0:  69%|██████▉   | 1302/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.231]
Epoch 0:  69%|██████▉   | 1303/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.231]
Epoch 0:  69%|██████▉   | 1303/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.143]
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Epoch 0:  70%|██████▉   | 1304/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.184]
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Epoch 0:  70%|██████▉   | 1305/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.0427]
Epoch 0:  70%|██████▉   | 1306/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.0427]
Epoch 0:  70%|██████▉   | 1306/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.514]
Epoch 0:  70%|██████▉   | 1307/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.514]
Epoch 0:  70%|██████▉   | 1307/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.195]
Epoch 0:  70%|██████▉   | 1308/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.195]
Epoch 0:  70%|██████▉   | 1308/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.231]
Epoch 0:  70%|██████▉   | 1309/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.231]
Epoch 0:  70%|██████▉   | 1309/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.222]
Epoch 0:  70%|██████▉   | 1310/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.222]
Epoch 0:  70%|██████▉   | 1310/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.0776]
Epoch 0:  70%|██████▉   | 1311/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.0776]
Epoch 0:  70%|██████▉   | 1311/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.232]
Epoch 0:  70%|██████▉   | 1312/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.232]
Epoch 0:  70%|██████▉   | 1312/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.148]
Epoch 0:  70%|███████   | 1313/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.148]
Epoch 0:  70%|███████   | 1313/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.374]
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Epoch 0:  70%|███████   | 1314/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.171]
Epoch 0:  70%|███████   | 1315/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.171]
Epoch 0:  70%|███████   | 1315/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.0768]
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Epoch 0:  70%|███████   | 1317/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.115]
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Epoch 0:  70%|███████   | 1318/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.290]
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Epoch 0:  70%|███████   | 1319/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.0226]
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Epoch 0:  70%|███████   | 1320/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.359]
Epoch 0:  70%|███████   | 1321/1875 [00:16<00:07, 78.46it/s, v_num=5, train_loss=0.359]
Epoch 0:  70%|███████   | 1321/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.579]
Epoch 0:  71%|███████   | 1322/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.579]
Epoch 0:  71%|███████   | 1322/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.304]
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Epoch 0:  71%|███████   | 1323/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.172]
Epoch 0:  71%|███████   | 1324/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.172]
Epoch 0:  71%|███████   | 1324/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.341]
Epoch 0:  71%|███████   | 1325/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.341]
Epoch 0:  71%|███████   | 1325/1875 [00:16<00:07, 78.45it/s, v_num=5, train_loss=0.228]
Epoch 0:  71%|███████   | 1326/1875 [00:16<00:06, 78.45it/s, v_num=5, train_loss=0.228]
Epoch 0:  71%|███████   | 1326/1875 [00:16<00:06, 78.45it/s, v_num=5, train_loss=0.212]
Epoch 0:  71%|███████   | 1327/1875 [00:16<00:06, 78.45it/s, v_num=5, train_loss=0.212]
Epoch 0:  71%|███████   | 1327/1875 [00:16<00:06, 78.45it/s, v_num=5, train_loss=0.103]
Epoch 0:  71%|███████   | 1328/1875 [00:16<00:06, 78.45it/s, v_num=5, train_loss=0.103]
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Epoch 0:  71%|███████   | 1329/1875 [00:16<00:06, 78.45it/s, v_num=5, train_loss=0.207]
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Epoch 0:  71%|███████   | 1330/1875 [00:16<00:06, 78.45it/s, v_num=5, train_loss=0.254]
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Epoch 0:  71%|███████   | 1331/1875 [00:16<00:06, 78.45it/s, v_num=5, train_loss=0.431]
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Epoch 0:  71%|███████   | 1333/1875 [00:16<00:06, 78.45it/s, v_num=5, train_loss=0.120]
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Epoch 0:  71%|███████   | 1334/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.083]
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Epoch 0:  71%|███████   | 1335/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.610]
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Epoch 0:  72%|███████▏  | 1342/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.142]
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Epoch 0:  72%|███████▏  | 1345/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.123]
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Epoch 0:  72%|███████▏  | 1346/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.156]
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Epoch 0:  72%|███████▏  | 1347/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.381]
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Epoch 0:  72%|███████▏  | 1348/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.115]
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Epoch 0:  72%|███████▏  | 1349/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.214]
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Epoch 0:  72%|███████▏  | 1350/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.120]
Epoch 0:  72%|███████▏  | 1351/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.120]
Epoch 0:  72%|███████▏  | 1351/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.125]
Epoch 0:  72%|███████▏  | 1352/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.125]
Epoch 0:  72%|███████▏  | 1352/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.106]
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Epoch 0:  72%|███████▏  | 1353/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.116]
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Epoch 0:  72%|███████▏  | 1354/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.0526]
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Epoch 0:  72%|███████▏  | 1355/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.0769]
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Epoch 0:  72%|███████▏  | 1356/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.0766]
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Epoch 0:  72%|███████▏  | 1357/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.119]
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Epoch 0:  72%|███████▏  | 1358/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.127]
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Epoch 0:  72%|███████▏  | 1359/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.391]
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Epoch 0:  73%|███████▎  | 1361/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.170]
Epoch 0:  73%|███████▎  | 1362/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.170]
Epoch 0:  73%|███████▎  | 1362/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.084]
Epoch 0:  73%|███████▎  | 1363/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.084]
Epoch 0:  73%|███████▎  | 1363/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.202]
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Epoch 0:  73%|███████▎  | 1364/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.0865]
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Epoch 0:  73%|███████▎  | 1365/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.0953]
Epoch 0:  73%|███████▎  | 1366/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.0953]
Epoch 0:  73%|███████▎  | 1366/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.166]
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Epoch 0:  73%|███████▎  | 1367/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.226]
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Epoch 0:  73%|███████▎  | 1368/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.172]
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Epoch 0:  73%|███████▎  | 1369/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.0813]
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Epoch 0:  73%|███████▎  | 1370/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.252]
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Epoch 0:  73%|███████▎  | 1371/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.535]
Epoch 0:  73%|███████▎  | 1372/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.535]
Epoch 0:  73%|███████▎  | 1372/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.533]
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Epoch 0:  73%|███████▎  | 1373/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.561]
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Epoch 0:  73%|███████▎  | 1374/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.492]
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Epoch 0:  73%|███████▎  | 1375/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.242]
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Epoch 0:  74%|███████▎  | 1379/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.215]
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Epoch 0:  74%|███████▎  | 1380/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.252]
Epoch 0:  74%|███████▎  | 1381/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.252]
Epoch 0:  74%|███████▎  | 1381/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.257]
Epoch 0:  74%|███████▎  | 1382/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.257]
Epoch 0:  74%|███████▎  | 1382/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.383]
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Epoch 0:  74%|███████▍  | 1385/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.186]
Epoch 0:  74%|███████▍  | 1386/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.186]
Epoch 0:  74%|███████▍  | 1386/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.833]
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Epoch 0:  74%|███████▍  | 1388/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.508]
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Epoch 0:  74%|███████▍  | 1389/1875 [00:17<00:06, 78.45it/s, v_num=5, train_loss=0.280]
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Epoch 0:  74%|███████▍  | 1392/1875 [00:17<00:06, 78.46it/s, v_num=5, train_loss=0.319]
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Epoch 0:  75%|███████▍  | 1405/1875 [00:17<00:05, 78.46it/s, v_num=5, train_loss=0.160]
Epoch 0:  75%|███████▍  | 1406/1875 [00:17<00:05, 78.46it/s, v_num=5, train_loss=0.160]
Epoch 0:  75%|███████▍  | 1406/1875 [00:17<00:05, 78.46it/s, v_num=5, train_loss=0.122]
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Epoch 0:  75%|███████▌  | 1407/1875 [00:17<00:05, 78.46it/s, v_num=5, train_loss=0.217]
Epoch 0:  75%|███████▌  | 1408/1875 [00:17<00:05, 78.46it/s, v_num=5, train_loss=0.217]
Epoch 0:  75%|███████▌  | 1408/1875 [00:17<00:05, 78.46it/s, v_num=5, train_loss=0.0992]
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Epoch 0:  75%|███████▌  | 1409/1875 [00:17<00:05, 78.46it/s, v_num=5, train_loss=0.255]
Epoch 0:  75%|███████▌  | 1410/1875 [00:17<00:05, 78.46it/s, v_num=5, train_loss=0.255]
Epoch 0:  75%|███████▌  | 1410/1875 [00:17<00:05, 78.46it/s, v_num=5, train_loss=0.138]
Epoch 0:  75%|███████▌  | 1411/1875 [00:17<00:05, 78.46it/s, v_num=5, train_loss=0.138]
Epoch 0:  75%|███████▌  | 1411/1875 [00:17<00:05, 78.46it/s, v_num=5, train_loss=0.298]
Epoch 0:  75%|███████▌  | 1412/1875 [00:17<00:05, 78.46it/s, v_num=5, train_loss=0.298]
Epoch 0:  75%|███████▌  | 1412/1875 [00:17<00:05, 78.46it/s, v_num=5, train_loss=0.148]
Epoch 0:  75%|███████▌  | 1413/1875 [00:18<00:05, 78.46it/s, v_num=5, train_loss=0.148]
Epoch 0:  75%|███████▌  | 1413/1875 [00:18<00:05, 78.46it/s, v_num=5, train_loss=0.126]
Epoch 0:  75%|███████▌  | 1414/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.126]
Epoch 0:  75%|███████▌  | 1414/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.204]
Epoch 0:  75%|███████▌  | 1415/1875 [00:18<00:05, 78.44it/s, v_num=5, train_loss=0.204]
Epoch 0:  75%|███████▌  | 1415/1875 [00:18<00:05, 78.44it/s, v_num=5, train_loss=0.0391]
Epoch 0:  76%|███████▌  | 1416/1875 [00:18<00:05, 78.44it/s, v_num=5, train_loss=0.0391]
Epoch 0:  76%|███████▌  | 1416/1875 [00:18<00:05, 78.44it/s, v_num=5, train_loss=0.0439]
Epoch 0:  76%|███████▌  | 1417/1875 [00:18<00:05, 78.44it/s, v_num=5, train_loss=0.0439]
Epoch 0:  76%|███████▌  | 1417/1875 [00:18<00:05, 78.44it/s, v_num=5, train_loss=0.118]
Epoch 0:  76%|███████▌  | 1418/1875 [00:18<00:05, 78.44it/s, v_num=5, train_loss=0.118]
Epoch 0:  76%|███████▌  | 1418/1875 [00:18<00:05, 78.44it/s, v_num=5, train_loss=0.126]
Epoch 0:  76%|███████▌  | 1419/1875 [00:18<00:05, 78.44it/s, v_num=5, train_loss=0.126]
Epoch 0:  76%|███████▌  | 1419/1875 [00:18<00:05, 78.44it/s, v_num=5, train_loss=0.477]
Epoch 0:  76%|███████▌  | 1420/1875 [00:18<00:05, 78.44it/s, v_num=5, train_loss=0.477]
Epoch 0:  76%|███████▌  | 1420/1875 [00:18<00:05, 78.44it/s, v_num=5, train_loss=0.194]
Epoch 0:  76%|███████▌  | 1421/1875 [00:18<00:05, 78.44it/s, v_num=5, train_loss=0.194]
Epoch 0:  76%|███████▌  | 1421/1875 [00:18<00:05, 78.44it/s, v_num=5, train_loss=0.172]
Epoch 0:  76%|███████▌  | 1422/1875 [00:18<00:05, 78.44it/s, v_num=5, train_loss=0.172]
Epoch 0:  76%|███████▌  | 1422/1875 [00:18<00:05, 78.44it/s, v_num=5, train_loss=0.150]
Epoch 0:  76%|███████▌  | 1423/1875 [00:18<00:05, 78.44it/s, v_num=5, train_loss=0.150]
Epoch 0:  76%|███████▌  | 1423/1875 [00:18<00:05, 78.44it/s, v_num=5, train_loss=0.153]
Epoch 0:  76%|███████▌  | 1424/1875 [00:18<00:05, 78.44it/s, v_num=5, train_loss=0.153]
Epoch 0:  76%|███████▌  | 1424/1875 [00:18<00:05, 78.44it/s, v_num=5, train_loss=0.0961]
Epoch 0:  76%|███████▌  | 1425/1875 [00:18<00:05, 78.44it/s, v_num=5, train_loss=0.0961]
Epoch 0:  76%|███████▌  | 1425/1875 [00:18<00:05, 78.44it/s, v_num=5, train_loss=0.318]
Epoch 0:  76%|███████▌  | 1426/1875 [00:18<00:05, 78.44it/s, v_num=5, train_loss=0.318]
Epoch 0:  76%|███████▌  | 1426/1875 [00:18<00:05, 78.44it/s, v_num=5, train_loss=0.0507]
Epoch 0:  76%|███████▌  | 1427/1875 [00:18<00:05, 78.44it/s, v_num=5, train_loss=0.0507]
Epoch 0:  76%|███████▌  | 1427/1875 [00:18<00:05, 78.44it/s, v_num=5, train_loss=0.499]
Epoch 0:  76%|███████▌  | 1428/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.499]
Epoch 0:  76%|███████▌  | 1428/1875 [00:18<00:05, 78.44it/s, v_num=5, train_loss=0.0929]
Epoch 0:  76%|███████▌  | 1429/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.0929]
Epoch 0:  76%|███████▌  | 1429/1875 [00:18<00:05, 78.44it/s, v_num=5, train_loss=0.294]
Epoch 0:  76%|███████▋  | 1430/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.294]
Epoch 0:  76%|███████▋  | 1430/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.0455]
Epoch 0:  76%|███████▋  | 1431/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.0455]
Epoch 0:  76%|███████▋  | 1431/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.113]
Epoch 0:  76%|███████▋  | 1432/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.113]
Epoch 0:  76%|███████▋  | 1432/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.0927]
Epoch 0:  76%|███████▋  | 1433/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.0927]
Epoch 0:  76%|███████▋  | 1433/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.0957]
Epoch 0:  76%|███████▋  | 1434/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.0957]
Epoch 0:  76%|███████▋  | 1434/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.0428]
Epoch 0:  77%|███████▋  | 1435/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.0428]
Epoch 0:  77%|███████▋  | 1435/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.260]
Epoch 0:  77%|███████▋  | 1436/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.260]
Epoch 0:  77%|███████▋  | 1436/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.520]
Epoch 0:  77%|███████▋  | 1437/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.520]
Epoch 0:  77%|███████▋  | 1437/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.304]
Epoch 0:  77%|███████▋  | 1438/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.304]
Epoch 0:  77%|███████▋  | 1438/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.0475]
Epoch 0:  77%|███████▋  | 1439/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.0475]
Epoch 0:  77%|███████▋  | 1439/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.474]
Epoch 0:  77%|███████▋  | 1440/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.474]
Epoch 0:  77%|███████▋  | 1440/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.301]
Epoch 0:  77%|███████▋  | 1441/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.301]
Epoch 0:  77%|███████▋  | 1441/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.148]
Epoch 0:  77%|███████▋  | 1442/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.148]
Epoch 0:  77%|███████▋  | 1442/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.427]
Epoch 0:  77%|███████▋  | 1443/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.427]
Epoch 0:  77%|███████▋  | 1443/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.240]
Epoch 0:  77%|███████▋  | 1444/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.240]
Epoch 0:  77%|███████▋  | 1444/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.203]
Epoch 0:  77%|███████▋  | 1445/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.203]
Epoch 0:  77%|███████▋  | 1445/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.425]
Epoch 0:  77%|███████▋  | 1446/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.425]
Epoch 0:  77%|███████▋  | 1446/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.248]
Epoch 0:  77%|███████▋  | 1447/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.248]
Epoch 0:  77%|███████▋  | 1447/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.329]
Epoch 0:  77%|███████▋  | 1448/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.329]
Epoch 0:  77%|███████▋  | 1448/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.318]
Epoch 0:  77%|███████▋  | 1449/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.318]
Epoch 0:  77%|███████▋  | 1449/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.290]
Epoch 0:  77%|███████▋  | 1450/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.290]
Epoch 0:  77%|███████▋  | 1450/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.277]
Epoch 0:  77%|███████▋  | 1451/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.277]
Epoch 0:  77%|███████▋  | 1451/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.235]
Epoch 0:  77%|███████▋  | 1452/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.235]
Epoch 0:  77%|███████▋  | 1452/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.230]
Epoch 0:  77%|███████▋  | 1453/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.230]
Epoch 0:  77%|███████▋  | 1453/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.150]
Epoch 0:  78%|███████▊  | 1454/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.150]
Epoch 0:  78%|███████▊  | 1454/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.291]
Epoch 0:  78%|███████▊  | 1455/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.291]
Epoch 0:  78%|███████▊  | 1455/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.174]
Epoch 0:  78%|███████▊  | 1456/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.174]
Epoch 0:  78%|███████▊  | 1456/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.107]
Epoch 0:  78%|███████▊  | 1457/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.107]
Epoch 0:  78%|███████▊  | 1457/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.143]
Epoch 0:  78%|███████▊  | 1458/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.143]
Epoch 0:  78%|███████▊  | 1458/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.265]
Epoch 0:  78%|███████▊  | 1459/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.265]
Epoch 0:  78%|███████▊  | 1459/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.316]
Epoch 0:  78%|███████▊  | 1460/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.316]
Epoch 0:  78%|███████▊  | 1460/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.201]
Epoch 0:  78%|███████▊  | 1461/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.201]
Epoch 0:  78%|███████▊  | 1461/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.210]
Epoch 0:  78%|███████▊  | 1462/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.210]
Epoch 0:  78%|███████▊  | 1462/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.100]
Epoch 0:  78%|███████▊  | 1463/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.100]
Epoch 0:  78%|███████▊  | 1463/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.239]
Epoch 0:  78%|███████▊  | 1464/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.239]
Epoch 0:  78%|███████▊  | 1464/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.321]
Epoch 0:  78%|███████▊  | 1465/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.321]
Epoch 0:  78%|███████▊  | 1465/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.278]
Epoch 0:  78%|███████▊  | 1466/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.278]
Epoch 0:  78%|███████▊  | 1466/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.519]
Epoch 0:  78%|███████▊  | 1467/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.519]
Epoch 0:  78%|███████▊  | 1467/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.181]
Epoch 0:  78%|███████▊  | 1468/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.181]
Epoch 0:  78%|███████▊  | 1468/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.169]
Epoch 0:  78%|███████▊  | 1469/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.169]
Epoch 0:  78%|███████▊  | 1469/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.201]
Epoch 0:  78%|███████▊  | 1470/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.201]
Epoch 0:  78%|███████▊  | 1470/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.467]
Epoch 0:  78%|███████▊  | 1471/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.467]
Epoch 0:  78%|███████▊  | 1471/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.302]
Epoch 0:  79%|███████▊  | 1472/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.302]
Epoch 0:  79%|███████▊  | 1472/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.265]
Epoch 0:  79%|███████▊  | 1473/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.265]
Epoch 0:  79%|███████▊  | 1473/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.535]
Epoch 0:  79%|███████▊  | 1474/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.535]
Epoch 0:  79%|███████▊  | 1474/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.638]
Epoch 0:  79%|███████▊  | 1475/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.638]
Epoch 0:  79%|███████▊  | 1475/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.139]
Epoch 0:  79%|███████▊  | 1476/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.139]
Epoch 0:  79%|███████▊  | 1476/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.119]
Epoch 0:  79%|███████▉  | 1477/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.119]
Epoch 0:  79%|███████▉  | 1477/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.389]
Epoch 0:  79%|███████▉  | 1478/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.389]
Epoch 0:  79%|███████▉  | 1478/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.171]
Epoch 0:  79%|███████▉  | 1479/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.171]
Epoch 0:  79%|███████▉  | 1479/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.145]
Epoch 0:  79%|███████▉  | 1480/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.145]
Epoch 0:  79%|███████▉  | 1480/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.239]
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Epoch 0:  79%|███████▉  | 1481/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.0599]
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Epoch 0:  79%|███████▉  | 1482/1875 [00:18<00:05, 78.45it/s, v_num=5, train_loss=0.173]
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Epoch 0:  79%|███████▉  | 1483/1875 [00:18<00:04, 78.45it/s, v_num=5, train_loss=0.178]
Epoch 0:  79%|███████▉  | 1484/1875 [00:18<00:04, 78.45it/s, v_num=5, train_loss=0.178]
Epoch 0:  79%|███████▉  | 1484/1875 [00:18<00:04, 78.45it/s, v_num=5, train_loss=0.227]
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Epoch 0:  79%|███████▉  | 1485/1875 [00:18<00:04, 78.45it/s, v_num=5, train_loss=0.138]
Epoch 0:  79%|███████▉  | 1486/1875 [00:18<00:04, 78.45it/s, v_num=5, train_loss=0.138]
Epoch 0:  79%|███████▉  | 1486/1875 [00:18<00:04, 78.45it/s, v_num=5, train_loss=0.148]
Epoch 0:  79%|███████▉  | 1487/1875 [00:18<00:04, 78.45it/s, v_num=5, train_loss=0.148]
Epoch 0:  79%|███████▉  | 1487/1875 [00:18<00:04, 78.45it/s, v_num=5, train_loss=0.331]
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Epoch 0:  79%|███████▉  | 1488/1875 [00:18<00:04, 78.45it/s, v_num=5, train_loss=0.387]
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Epoch 0:  79%|███████▉  | 1489/1875 [00:18<00:04, 78.45it/s, v_num=5, train_loss=0.129]
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Epoch 0:  79%|███████▉  | 1490/1875 [00:18<00:04, 78.45it/s, v_num=5, train_loss=0.299]
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Epoch 0:  80%|███████▉  | 1491/1875 [00:19<00:04, 78.45it/s, v_num=5, train_loss=0.195]
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Epoch 0:  80%|███████▉  | 1495/1875 [00:19<00:04, 78.44it/s, v_num=5, train_loss=0.0906]
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Epoch 0:  80%|███████▉  | 1496/1875 [00:19<00:04, 78.44it/s, v_num=5, train_loss=0.408]
Epoch 0:  80%|███████▉  | 1497/1875 [00:19<00:04, 78.44it/s, v_num=5, train_loss=0.408]
Epoch 0:  80%|███████▉  | 1497/1875 [00:19<00:04, 78.44it/s, v_num=5, train_loss=0.104]
Epoch 0:  80%|███████▉  | 1498/1875 [00:19<00:04, 78.44it/s, v_num=5, train_loss=0.104]
Epoch 0:  80%|███████▉  | 1498/1875 [00:19<00:04, 78.44it/s, v_num=5, train_loss=0.324]
Epoch 0:  80%|███████▉  | 1499/1875 [00:19<00:04, 78.44it/s, v_num=5, train_loss=0.324]
Epoch 0:  80%|███████▉  | 1499/1875 [00:19<00:04, 78.43it/s, v_num=5, train_loss=0.0793]
Epoch 0:  80%|████████  | 1500/1875 [00:19<00:04, 78.43it/s, v_num=5, train_loss=0.0793]
Epoch 0:  80%|████████  | 1500/1875 [00:19<00:04, 78.43it/s, v_num=5, train_loss=0.0377]
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Epoch 0:  80%|████████  | 1501/1875 [00:19<00:04, 78.43it/s, v_num=5, train_loss=0.0921]
Epoch 0:  80%|████████  | 1502/1875 [00:19<00:04, 78.43it/s, v_num=5, train_loss=0.0921]
Epoch 0:  80%|████████  | 1502/1875 [00:19<00:04, 78.43it/s, v_num=5, train_loss=0.504]
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Epoch 0:  80%|████████  | 1503/1875 [00:19<00:04, 78.43it/s, v_num=5, train_loss=0.352]
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Epoch 0:  80%|████████  | 1504/1875 [00:19<00:04, 78.43it/s, v_num=5, train_loss=0.434]
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Epoch 0:  80%|████████  | 1505/1875 [00:19<00:04, 78.43it/s, v_num=5, train_loss=0.201]
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Epoch 0:  80%|████████  | 1506/1875 [00:19<00:04, 78.43it/s, v_num=5, train_loss=0.401]
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Epoch 0:  80%|████████  | 1507/1875 [00:19<00:04, 78.43it/s, v_num=5, train_loss=0.0972]
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Epoch 0:  80%|████████  | 1508/1875 [00:19<00:04, 78.43it/s, v_num=5, train_loss=0.327]
Epoch 0:  80%|████████  | 1509/1875 [00:19<00:04, 78.43it/s, v_num=5, train_loss=0.327]
Epoch 0:  80%|████████  | 1509/1875 [00:19<00:04, 78.42it/s, v_num=5, train_loss=0.137]
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Epoch 0:  81%|████████  | 1510/1875 [00:19<00:04, 78.42it/s, v_num=5, train_loss=0.163]
Epoch 0:  81%|████████  | 1511/1875 [00:19<00:04, 78.42it/s, v_num=5, train_loss=0.163]
Epoch 0:  81%|████████  | 1511/1875 [00:19<00:04, 78.42it/s, v_num=5, train_loss=0.0867]
Epoch 0:  81%|████████  | 1512/1875 [00:19<00:04, 78.42it/s, v_num=5, train_loss=0.0867]
Epoch 0:  81%|████████  | 1512/1875 [00:19<00:04, 78.42it/s, v_num=5, train_loss=0.234]
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Epoch 0:  81%|████████  | 1513/1875 [00:19<00:04, 78.42it/s, v_num=5, train_loss=0.177]
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Epoch 0:  81%|████████  | 1514/1875 [00:19<00:04, 78.42it/s, v_num=5, train_loss=0.122]
Epoch 0:  81%|████████  | 1515/1875 [00:19<00:04, 78.42it/s, v_num=5, train_loss=0.122]
Epoch 0:  81%|████████  | 1515/1875 [00:19<00:04, 78.42it/s, v_num=5, train_loss=0.0435]
Epoch 0:  81%|████████  | 1516/1875 [00:19<00:04, 78.42it/s, v_num=5, train_loss=0.0435]
Epoch 0:  81%|████████  | 1516/1875 [00:19<00:04, 78.42it/s, v_num=5, train_loss=0.169]
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Epoch 0:  81%|████████  | 1517/1875 [00:19<00:04, 78.42it/s, v_num=5, train_loss=0.125]
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Epoch 0:  81%|████████  | 1518/1875 [00:19<00:04, 78.42it/s, v_num=5, train_loss=0.218]
Epoch 0:  81%|████████  | 1519/1875 [00:19<00:04, 78.42it/s, v_num=5, train_loss=0.218]
Epoch 0:  81%|████████  | 1519/1875 [00:19<00:04, 78.42it/s, v_num=5, train_loss=0.266]
Epoch 0:  81%|████████  | 1520/1875 [00:19<00:04, 78.42it/s, v_num=5, train_loss=0.266]
Epoch 0:  81%|████████  | 1520/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.202]
Epoch 0:  81%|████████  | 1521/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.202]
Epoch 0:  81%|████████  | 1521/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.352]
Epoch 0:  81%|████████  | 1522/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.352]
Epoch 0:  81%|████████  | 1522/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.113]
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Epoch 0:  81%|████████  | 1523/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.072]
Epoch 0:  81%|████████▏ | 1524/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.072]
Epoch 0:  81%|████████▏ | 1524/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.307]
Epoch 0:  81%|████████▏ | 1525/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.307]
Epoch 0:  81%|████████▏ | 1525/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.212]
Epoch 0:  81%|████████▏ | 1526/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.212]
Epoch 0:  81%|████████▏ | 1526/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.0507]
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Epoch 0:  81%|████████▏ | 1527/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.0811]
Epoch 0:  81%|████████▏ | 1528/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.0811]
Epoch 0:  81%|████████▏ | 1528/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.0724]
Epoch 0:  82%|████████▏ | 1529/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.0724]
Epoch 0:  82%|████████▏ | 1529/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.151]
Epoch 0:  82%|████████▏ | 1530/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.151]
Epoch 0:  82%|████████▏ | 1530/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.232]
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Epoch 0:  82%|████████▏ | 1531/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.116]
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Epoch 0:  82%|████████▏ | 1532/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.417]
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Epoch 0:  82%|████████▏ | 1533/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.0871]
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Epoch 0:  82%|████████▏ | 1534/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.147]
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Epoch 0:  82%|████████▏ | 1535/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.204]
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Epoch 0:  82%|████████▏ | 1536/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.153]
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Epoch 0:  82%|████████▏ | 1537/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.369]
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Epoch 0:  82%|████████▏ | 1538/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.145]
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Epoch 0:  82%|████████▏ | 1539/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.0866]
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Epoch 0:  82%|████████▏ | 1540/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.160]
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Epoch 0:  82%|████████▏ | 1541/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.0953]
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Epoch 0:  82%|████████▏ | 1544/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.340]
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Epoch 0:  82%|████████▏ | 1545/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.472]
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Epoch 0:  83%|████████▎ | 1558/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.0906]
Epoch 0:  83%|████████▎ | 1559/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.0906]
Epoch 0:  83%|████████▎ | 1559/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.166]
Epoch 0:  83%|████████▎ | 1560/1875 [00:19<00:04, 78.41it/s, v_num=5, train_loss=0.166]
Epoch 0:  83%|████████▎ | 1560/1875 [00:19<00:04, 78.40it/s, v_num=5, train_loss=0.0817]
Epoch 0:  83%|████████▎ | 1561/1875 [00:19<00:04, 78.40it/s, v_num=5, train_loss=0.0817]
Epoch 0:  83%|████████▎ | 1561/1875 [00:19<00:04, 78.40it/s, v_num=5, train_loss=0.186]
Epoch 0:  83%|████████▎ | 1562/1875 [00:19<00:03, 78.40it/s, v_num=5, train_loss=0.186]
Epoch 0:  83%|████████▎ | 1562/1875 [00:19<00:03, 78.40it/s, v_num=5, train_loss=0.473]
Epoch 0:  83%|████████▎ | 1563/1875 [00:19<00:03, 78.40it/s, v_num=5, train_loss=0.473]
Epoch 0:  83%|████████▎ | 1563/1875 [00:19<00:03, 78.40it/s, v_num=5, train_loss=0.300]
Epoch 0:  83%|████████▎ | 1564/1875 [00:19<00:03, 78.40it/s, v_num=5, train_loss=0.300]
Epoch 0:  83%|████████▎ | 1564/1875 [00:19<00:03, 78.40it/s, v_num=5, train_loss=0.332]
Epoch 0:  83%|████████▎ | 1565/1875 [00:19<00:03, 78.40it/s, v_num=5, train_loss=0.332]
Epoch 0:  83%|████████▎ | 1565/1875 [00:19<00:03, 78.40it/s, v_num=5, train_loss=0.372]
Epoch 0:  84%|████████▎ | 1566/1875 [00:19<00:03, 78.40it/s, v_num=5, train_loss=0.372]
Epoch 0:  84%|████████▎ | 1566/1875 [00:19<00:03, 78.40it/s, v_num=5, train_loss=0.312]
Epoch 0:  84%|████████▎ | 1567/1875 [00:19<00:03, 78.40it/s, v_num=5, train_loss=0.312]
Epoch 0:  84%|████████▎ | 1567/1875 [00:19<00:03, 78.40it/s, v_num=5, train_loss=0.0595]
Epoch 0:  84%|████████▎ | 1568/1875 [00:19<00:03, 78.40it/s, v_num=5, train_loss=0.0595]
Epoch 0:  84%|████████▎ | 1568/1875 [00:19<00:03, 78.40it/s, v_num=5, train_loss=0.039]
Epoch 0:  84%|████████▎ | 1569/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.039]
Epoch 0:  84%|████████▎ | 1569/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.239]
Epoch 0:  84%|████████▎ | 1570/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.239]
Epoch 0:  84%|████████▎ | 1570/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.0291]
Epoch 0:  84%|████████▍ | 1571/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.0291]
Epoch 0:  84%|████████▍ | 1571/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.221]
Epoch 0:  84%|████████▍ | 1572/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.221]
Epoch 0:  84%|████████▍ | 1572/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.193]
Epoch 0:  84%|████████▍ | 1573/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.193]
Epoch 0:  84%|████████▍ | 1573/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.0747]
Epoch 0:  84%|████████▍ | 1574/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.0747]
Epoch 0:  84%|████████▍ | 1574/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.0398]
Epoch 0:  84%|████████▍ | 1575/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.0398]
Epoch 0:  84%|████████▍ | 1575/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.0312]
Epoch 0:  84%|████████▍ | 1576/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.0312]
Epoch 0:  84%|████████▍ | 1576/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.123]
Epoch 0:  84%|████████▍ | 1577/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.123]
Epoch 0:  84%|████████▍ | 1577/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.111]
Epoch 0:  84%|████████▍ | 1578/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.111]
Epoch 0:  84%|████████▍ | 1578/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.140]
Epoch 0:  84%|████████▍ | 1579/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.140]
Epoch 0:  84%|████████▍ | 1579/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.079]
Epoch 0:  84%|████████▍ | 1580/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.079]
Epoch 0:  84%|████████▍ | 1580/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.149]
Epoch 0:  84%|████████▍ | 1581/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.149]
Epoch 0:  84%|████████▍ | 1581/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.180]
Epoch 0:  84%|████████▍ | 1582/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.180]
Epoch 0:  84%|████████▍ | 1582/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.0781]
Epoch 0:  84%|████████▍ | 1583/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.0781]
Epoch 0:  84%|████████▍ | 1583/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.0573]
Epoch 0:  84%|████████▍ | 1584/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.0573]
Epoch 0:  84%|████████▍ | 1584/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.152]
Epoch 0:  85%|████████▍ | 1585/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.152]
Epoch 0:  85%|████████▍ | 1585/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.317]
Epoch 0:  85%|████████▍ | 1586/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.317]
Epoch 0:  85%|████████▍ | 1586/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.0945]
Epoch 0:  85%|████████▍ | 1587/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.0945]
Epoch 0:  85%|████████▍ | 1587/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.148]
Epoch 0:  85%|████████▍ | 1588/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.148]
Epoch 0:  85%|████████▍ | 1588/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.213]
Epoch 0:  85%|████████▍ | 1589/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.213]
Epoch 0:  85%|████████▍ | 1589/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.380]
Epoch 0:  85%|████████▍ | 1590/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.380]
Epoch 0:  85%|████████▍ | 1590/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.138]
Epoch 0:  85%|████████▍ | 1591/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.138]
Epoch 0:  85%|████████▍ | 1591/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.395]
Epoch 0:  85%|████████▍ | 1592/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.395]
Epoch 0:  85%|████████▍ | 1592/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.258]
Epoch 0:  85%|████████▍ | 1593/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.258]
Epoch 0:  85%|████████▍ | 1593/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.190]
Epoch 0:  85%|████████▌ | 1594/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.190]
Epoch 0:  85%|████████▌ | 1594/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.128]
Epoch 0:  85%|████████▌ | 1595/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.128]
Epoch 0:  85%|████████▌ | 1595/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.125]
Epoch 0:  85%|████████▌ | 1596/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.125]
Epoch 0:  85%|████████▌ | 1596/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.382]
Epoch 0:  85%|████████▌ | 1597/1875 [00:20<00:03, 78.40it/s, v_num=5, train_loss=0.382]
Epoch 0:  85%|████████▌ | 1597/1875 [00:20<00:03, 78.39it/s, v_num=5, train_loss=0.226]
Epoch 0:  85%|████████▌ | 1598/1875 [00:20<00:03, 78.39it/s, v_num=5, train_loss=0.226]
Epoch 0:  85%|████████▌ | 1598/1875 [00:20<00:03, 78.39it/s, v_num=5, train_loss=0.236]
Epoch 0:  85%|████████▌ | 1599/1875 [00:20<00:03, 78.39it/s, v_num=5, train_loss=0.236]
Epoch 0:  85%|████████▌ | 1599/1875 [00:20<00:03, 78.39it/s, v_num=5, train_loss=0.320]
Epoch 0:  85%|████████▌ | 1600/1875 [00:20<00:03, 78.39it/s, v_num=5, train_loss=0.320]
Epoch 0:  85%|████████▌ | 1600/1875 [00:20<00:03, 78.39it/s, v_num=5, train_loss=0.299]
Epoch 0:  85%|████████▌ | 1601/1875 [00:20<00:03, 78.39it/s, v_num=5, train_loss=0.299]
Epoch 0:  85%|████████▌ | 1601/1875 [00:20<00:03, 78.39it/s, v_num=5, train_loss=0.440]
Epoch 0:  85%|████████▌ | 1602/1875 [00:20<00:03, 78.39it/s, v_num=5, train_loss=0.440]
Epoch 0:  85%|████████▌ | 1602/1875 [00:20<00:03, 78.39it/s, v_num=5, train_loss=0.350]
Epoch 0:  85%|████████▌ | 1603/1875 [00:20<00:03, 78.39it/s, v_num=5, train_loss=0.350]
Epoch 0:  85%|████████▌ | 1603/1875 [00:20<00:03, 78.39it/s, v_num=5, train_loss=0.120]
Epoch 0:  86%|████████▌ | 1604/1875 [00:20<00:03, 78.39it/s, v_num=5, train_loss=0.120]
Epoch 0:  86%|████████▌ | 1604/1875 [00:20<00:03, 78.39it/s, v_num=5, train_loss=0.0271]
Epoch 0:  86%|████████▌ | 1605/1875 [00:20<00:03, 78.39it/s, v_num=5, train_loss=0.0271]
Epoch 0:  86%|████████▌ | 1605/1875 [00:20<00:03, 78.39it/s, v_num=5, train_loss=0.265]
Epoch 0:  86%|████████▌ | 1606/1875 [00:20<00:03, 78.39it/s, v_num=5, train_loss=0.265]
Epoch 0:  86%|████████▌ | 1606/1875 [00:20<00:03, 78.38it/s, v_num=5, train_loss=0.198]
Epoch 0:  86%|████████▌ | 1607/1875 [00:20<00:03, 78.38it/s, v_num=5, train_loss=0.198]
Epoch 0:  86%|████████▌ | 1607/1875 [00:20<00:03, 78.38it/s, v_num=5, train_loss=0.152]
Epoch 0:  86%|████████▌ | 1608/1875 [00:20<00:03, 78.38it/s, v_num=5, train_loss=0.152]
Epoch 0:  86%|████████▌ | 1608/1875 [00:20<00:03, 78.38it/s, v_num=5, train_loss=0.406]
Epoch 0:  86%|████████▌ | 1609/1875 [00:20<00:03, 78.38it/s, v_num=5, train_loss=0.406]
Epoch 0:  86%|████████▌ | 1609/1875 [00:20<00:03, 78.38it/s, v_num=5, train_loss=0.166]
Epoch 0:  86%|████████▌ | 1610/1875 [00:20<00:03, 78.38it/s, v_num=5, train_loss=0.166]
Epoch 0:  86%|████████▌ | 1610/1875 [00:20<00:03, 78.38it/s, v_num=5, train_loss=0.170]
Epoch 0:  86%|████████▌ | 1611/1875 [00:20<00:03, 78.38it/s, v_num=5, train_loss=0.170]
Epoch 0:  86%|████████▌ | 1611/1875 [00:20<00:03, 78.38it/s, v_num=5, train_loss=0.216]
Epoch 0:  86%|████████▌ | 1612/1875 [00:20<00:03, 78.38it/s, v_num=5, train_loss=0.216]
Epoch 0:  86%|████████▌ | 1612/1875 [00:20<00:03, 78.38it/s, v_num=5, train_loss=0.298]
Epoch 0:  86%|████████▌ | 1613/1875 [00:20<00:03, 78.38it/s, v_num=5, train_loss=0.298]
Epoch 0:  86%|████████▌ | 1613/1875 [00:20<00:03, 78.38it/s, v_num=5, train_loss=0.246]
Epoch 0:  86%|████████▌ | 1614/1875 [00:20<00:03, 78.38it/s, v_num=5, train_loss=0.246]
Epoch 0:  86%|████████▌ | 1614/1875 [00:20<00:03, 78.38it/s, v_num=5, train_loss=0.463]
Epoch 0:  86%|████████▌ | 1615/1875 [00:20<00:03, 78.38it/s, v_num=5, train_loss=0.463]
Epoch 0:  86%|████████▌ | 1615/1875 [00:20<00:03, 78.38it/s, v_num=5, train_loss=0.320]
Epoch 0:  86%|████████▌ | 1616/1875 [00:20<00:03, 78.38it/s, v_num=5, train_loss=0.320]
Epoch 0:  86%|████████▌ | 1616/1875 [00:20<00:03, 78.38it/s, v_num=5, train_loss=0.0787]
Epoch 0:  86%|████████▌ | 1617/1875 [00:20<00:03, 78.38it/s, v_num=5, train_loss=0.0787]
Epoch 0:  86%|████████▌ | 1617/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.125]
Epoch 0:  86%|████████▋ | 1618/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.125]
Epoch 0:  86%|████████▋ | 1618/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.217]
Epoch 0:  86%|████████▋ | 1619/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.217]
Epoch 0:  86%|████████▋ | 1619/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.150]
Epoch 0:  86%|████████▋ | 1620/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.150]
Epoch 0:  86%|████████▋ | 1620/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.177]
Epoch 0:  86%|████████▋ | 1621/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.177]
Epoch 0:  86%|████████▋ | 1621/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.378]
Epoch 0:  87%|████████▋ | 1622/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.378]
Epoch 0:  87%|████████▋ | 1622/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.190]
Epoch 0:  87%|████████▋ | 1623/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.190]
Epoch 0:  87%|████████▋ | 1623/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.236]
Epoch 0:  87%|████████▋ | 1624/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.236]
Epoch 0:  87%|████████▋ | 1624/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.0567]
Epoch 0:  87%|████████▋ | 1625/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.0567]
Epoch 0:  87%|████████▋ | 1625/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.214]
Epoch 0:  87%|████████▋ | 1626/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.214]
Epoch 0:  87%|████████▋ | 1626/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.0918]
Epoch 0:  87%|████████▋ | 1627/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.0918]
Epoch 0:  87%|████████▋ | 1627/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.282]
Epoch 0:  87%|████████▋ | 1628/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.282]
Epoch 0:  87%|████████▋ | 1628/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.267]
Epoch 0:  87%|████████▋ | 1629/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.267]
Epoch 0:  87%|████████▋ | 1629/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.250]
Epoch 0:  87%|████████▋ | 1630/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.250]
Epoch 0:  87%|████████▋ | 1630/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.153]
Epoch 0:  87%|████████▋ | 1631/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.153]
Epoch 0:  87%|████████▋ | 1631/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.395]
Epoch 0:  87%|████████▋ | 1632/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.395]
Epoch 0:  87%|████████▋ | 1632/1875 [00:20<00:03, 78.37it/s, v_num=5, train_loss=0.148]
Epoch 0:  87%|████████▋ | 1633/1875 [00:20<00:03, 78.36it/s, v_num=5, train_loss=0.148]
Epoch 0:  87%|████████▋ | 1633/1875 [00:20<00:03, 78.36it/s, v_num=5, train_loss=0.351]
Epoch 0:  87%|████████▋ | 1634/1875 [00:20<00:03, 78.36it/s, v_num=5, train_loss=0.351]
Epoch 0:  87%|████████▋ | 1634/1875 [00:20<00:03, 78.36it/s, v_num=5, train_loss=0.286]
Epoch 0:  87%|████████▋ | 1635/1875 [00:20<00:03, 78.36it/s, v_num=5, train_loss=0.286]
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Epoch 0:  87%|████████▋ | 1636/1875 [00:20<00:03, 78.36it/s, v_num=5, train_loss=0.112]
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Epoch 0:  87%|████████▋ | 1637/1875 [00:20<00:03, 78.36it/s, v_num=5, train_loss=0.369]
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Epoch 0:  87%|████████▋ | 1638/1875 [00:20<00:03, 78.36it/s, v_num=5, train_loss=0.463]
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Epoch 0:  87%|████████▋ | 1639/1875 [00:20<00:03, 78.36it/s, v_num=5, train_loss=0.598]
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Epoch 0:  87%|████████▋ | 1640/1875 [00:20<00:02, 78.36it/s, v_num=5, train_loss=0.180]
Epoch 0:  88%|████████▊ | 1641/1875 [00:20<00:02, 78.36it/s, v_num=5, train_loss=0.180]
Epoch 0:  88%|████████▊ | 1641/1875 [00:20<00:02, 78.36it/s, v_num=5, train_loss=0.445]
Epoch 0:  88%|████████▊ | 1642/1875 [00:20<00:02, 78.36it/s, v_num=5, train_loss=0.445]
Epoch 0:  88%|████████▊ | 1642/1875 [00:20<00:02, 78.36it/s, v_num=5, train_loss=0.150]
Epoch 0:  88%|████████▊ | 1643/1875 [00:20<00:02, 78.36it/s, v_num=5, train_loss=0.150]
Epoch 0:  88%|████████▊ | 1643/1875 [00:20<00:02, 78.36it/s, v_num=5, train_loss=0.113]
Epoch 0:  88%|████████▊ | 1644/1875 [00:20<00:02, 78.36it/s, v_num=5, train_loss=0.113]
Epoch 0:  88%|████████▊ | 1644/1875 [00:20<00:02, 78.36it/s, v_num=5, train_loss=0.164]
Epoch 0:  88%|████████▊ | 1645/1875 [00:20<00:02, 78.36it/s, v_num=5, train_loss=0.164]
Epoch 0:  88%|████████▊ | 1645/1875 [00:20<00:02, 78.36it/s, v_num=5, train_loss=0.225]
Epoch 0:  88%|████████▊ | 1646/1875 [00:21<00:02, 78.36it/s, v_num=5, train_loss=0.225]
Epoch 0:  88%|████████▊ | 1646/1875 [00:21<00:02, 78.36it/s, v_num=5, train_loss=0.126]
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Epoch 0:  88%|████████▊ | 1647/1875 [00:21<00:02, 78.36it/s, v_num=5, train_loss=0.0714]
Epoch 0:  88%|████████▊ | 1648/1875 [00:21<00:02, 78.36it/s, v_num=5, train_loss=0.0714]
Epoch 0:  88%|████████▊ | 1648/1875 [00:21<00:02, 78.36it/s, v_num=5, train_loss=0.0327]
Epoch 0:  88%|████████▊ | 1649/1875 [00:21<00:02, 78.36it/s, v_num=5, train_loss=0.0327]
Epoch 0:  88%|████████▊ | 1649/1875 [00:21<00:02, 78.36it/s, v_num=5, train_loss=0.344]
Epoch 0:  88%|████████▊ | 1650/1875 [00:21<00:02, 78.36it/s, v_num=5, train_loss=0.344]
Epoch 0:  88%|████████▊ | 1650/1875 [00:21<00:02, 78.36it/s, v_num=5, train_loss=0.306]
Epoch 0:  88%|████████▊ | 1651/1875 [00:21<00:02, 78.36it/s, v_num=5, train_loss=0.306]
Epoch 0:  88%|████████▊ | 1651/1875 [00:21<00:02, 78.35it/s, v_num=5, train_loss=0.199]
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Epoch 0:  88%|████████▊ | 1652/1875 [00:21<00:02, 78.35it/s, v_num=5, train_loss=0.305]
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Epoch 0:  88%|████████▊ | 1653/1875 [00:21<00:02, 78.35it/s, v_num=5, train_loss=0.213]
Epoch 0:  88%|████████▊ | 1654/1875 [00:21<00:02, 78.35it/s, v_num=5, train_loss=0.213]
Epoch 0:  88%|████████▊ | 1654/1875 [00:21<00:02, 78.35it/s, v_num=5, train_loss=0.448]
Epoch 0:  88%|████████▊ | 1655/1875 [00:21<00:02, 78.35it/s, v_num=5, train_loss=0.448]
Epoch 0:  88%|████████▊ | 1655/1875 [00:21<00:02, 78.35it/s, v_num=5, train_loss=0.204]
Epoch 0:  88%|████████▊ | 1656/1875 [00:21<00:02, 78.35it/s, v_num=5, train_loss=0.204]
Epoch 0:  88%|████████▊ | 1656/1875 [00:21<00:02, 78.35it/s, v_num=5, train_loss=0.260]
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Epoch 0:  88%|████████▊ | 1657/1875 [00:21<00:02, 78.35it/s, v_num=5, train_loss=0.578]
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Epoch 0:  88%|████████▊ | 1658/1875 [00:21<00:02, 78.35it/s, v_num=5, train_loss=0.346]
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Epoch 0:  88%|████████▊ | 1659/1875 [00:21<00:02, 78.35it/s, v_num=5, train_loss=0.517]
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Epoch 0:  89%|████████▊ | 1660/1875 [00:21<00:02, 78.34it/s, v_num=5, train_loss=0.163]
Epoch 0:  89%|████████▊ | 1661/1875 [00:21<00:02, 78.35it/s, v_num=5, train_loss=0.163]
Epoch 0:  89%|████████▊ | 1661/1875 [00:21<00:02, 78.34it/s, v_num=5, train_loss=0.0997]
Epoch 0:  89%|████████▊ | 1662/1875 [00:21<00:02, 78.35it/s, v_num=5, train_loss=0.0997]
Epoch 0:  89%|████████▊ | 1662/1875 [00:21<00:02, 78.34it/s, v_num=5, train_loss=0.265]
Epoch 0:  89%|████████▊ | 1663/1875 [00:21<00:02, 78.35it/s, v_num=5, train_loss=0.265]
Epoch 0:  89%|████████▊ | 1663/1875 [00:21<00:02, 78.34it/s, v_num=5, train_loss=0.132]
Epoch 0:  89%|████████▊ | 1664/1875 [00:21<00:02, 78.35it/s, v_num=5, train_loss=0.132]
Epoch 0:  89%|████████▊ | 1664/1875 [00:21<00:02, 78.34it/s, v_num=5, train_loss=0.0645]
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Epoch 0:  89%|████████▉ | 1665/1875 [00:21<00:02, 78.34it/s, v_num=5, train_loss=0.151]
Epoch 0:  89%|████████▉ | 1666/1875 [00:21<00:02, 78.35it/s, v_num=5, train_loss=0.151]
Epoch 0:  89%|████████▉ | 1666/1875 [00:21<00:02, 78.34it/s, v_num=5, train_loss=0.389]
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Epoch 0:  89%|████████▉ | 1667/1875 [00:21<00:02, 78.34it/s, v_num=5, train_loss=0.253]
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Epoch 0:  89%|████████▉ | 1668/1875 [00:21<00:02, 78.34it/s, v_num=5, train_loss=0.126]
Epoch 0:  89%|████████▉ | 1669/1875 [00:21<00:02, 78.34it/s, v_num=5, train_loss=0.126]
Epoch 0:  89%|████████▉ | 1669/1875 [00:21<00:02, 78.34it/s, v_num=5, train_loss=0.138]
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Epoch 0:  89%|████████▉ | 1670/1875 [00:21<00:02, 78.34it/s, v_num=5, train_loss=0.106]
Epoch 0:  89%|████████▉ | 1671/1875 [00:21<00:02, 78.34it/s, v_num=5, train_loss=0.106]
Epoch 0:  89%|████████▉ | 1671/1875 [00:21<00:02, 78.34it/s, v_num=5, train_loss=0.238]
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Epoch 0:  89%|████████▉ | 1672/1875 [00:21<00:02, 78.34it/s, v_num=5, train_loss=0.199]
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Epoch 0:  89%|████████▉ | 1673/1875 [00:21<00:02, 78.34it/s, v_num=5, train_loss=0.399]
Epoch 0:  89%|████████▉ | 1674/1875 [00:21<00:02, 78.34it/s, v_num=5, train_loss=0.399]
Epoch 0:  89%|████████▉ | 1674/1875 [00:21<00:02, 78.34it/s, v_num=5, train_loss=0.303]
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Epoch 0:  89%|████████▉ | 1675/1875 [00:21<00:02, 78.34it/s, v_num=5, train_loss=0.195]
Epoch 0:  89%|████████▉ | 1676/1875 [00:21<00:02, 78.34it/s, v_num=5, train_loss=0.195]
Epoch 0:  89%|████████▉ | 1676/1875 [00:21<00:02, 78.34it/s, v_num=5, train_loss=0.345]
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Epoch 0:  89%|████████▉ | 1677/1875 [00:21<00:02, 78.34it/s, v_num=5, train_loss=0.251]
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Epoch 0:  89%|████████▉ | 1678/1875 [00:21<00:02, 78.34it/s, v_num=5, train_loss=0.221]
Epoch 0:  90%|████████▉ | 1679/1875 [00:21<00:02, 78.34it/s, v_num=5, train_loss=0.221]
Epoch 0:  90%|████████▉ | 1679/1875 [00:21<00:02, 78.34it/s, v_num=5, train_loss=0.128]
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Epoch 0:  90%|████████▉ | 1680/1875 [00:21<00:02, 78.34it/s, v_num=5, train_loss=0.179]
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Epoch 0:  90%|████████▉ | 1681/1875 [00:21<00:02, 78.34it/s, v_num=5, train_loss=0.0823]
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Epoch 0:  90%|████████▉ | 1682/1875 [00:21<00:02, 78.34it/s, v_num=5, train_loss=0.157]
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Epoch 0:  90%|████████▉ | 1683/1875 [00:21<00:02, 78.33it/s, v_num=5, train_loss=0.134]
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Epoch 0:  90%|████████▉ | 1685/1875 [00:21<00:02, 78.33it/s, v_num=5, train_loss=0.112]
Epoch 0:  90%|████████▉ | 1686/1875 [00:21<00:02, 78.33it/s, v_num=5, train_loss=0.112]
Epoch 0:  90%|████████▉ | 1686/1875 [00:21<00:02, 78.33it/s, v_num=5, train_loss=0.116]
Epoch 0:  90%|████████▉ | 1687/1875 [00:21<00:02, 78.33it/s, v_num=5, train_loss=0.116]
Epoch 0:  90%|████████▉ | 1687/1875 [00:21<00:02, 78.33it/s, v_num=5, train_loss=0.114]
Epoch 0:  90%|█████████ | 1688/1875 [00:21<00:02, 78.33it/s, v_num=5, train_loss=0.114]
Epoch 0:  90%|█████████ | 1688/1875 [00:21<00:02, 78.33it/s, v_num=5, train_loss=0.0656]
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Epoch 0:  90%|█████████ | 1689/1875 [00:21<00:02, 78.33it/s, v_num=5, train_loss=0.0685]
Epoch 0:  90%|█████████ | 1690/1875 [00:21<00:02, 78.33it/s, v_num=5, train_loss=0.0685]
Epoch 0:  90%|█████████ | 1690/1875 [00:21<00:02, 78.33it/s, v_num=5, train_loss=0.123]
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Epoch 0:  90%|█████████ | 1692/1875 [00:21<00:02, 78.33it/s, v_num=5, train_loss=0.249]
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Epoch 0:  90%|█████████ | 1693/1875 [00:21<00:02, 78.33it/s, v_num=5, train_loss=0.179]
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Epoch 0:  90%|█████████ | 1694/1875 [00:21<00:02, 78.33it/s, v_num=5, train_loss=0.120]
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Epoch 0:  90%|█████████ | 1695/1875 [00:21<00:02, 78.33it/s, v_num=5, train_loss=0.408]
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Epoch 0:  90%|█████████ | 1696/1875 [00:21<00:02, 78.33it/s, v_num=5, train_loss=0.241]
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Epoch 0:  91%|█████████ | 1697/1875 [00:21<00:02, 78.33it/s, v_num=5, train_loss=0.332]
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Epoch 0:  91%|█████████ | 1698/1875 [00:21<00:02, 78.33it/s, v_num=5, train_loss=0.336]
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Epoch 0:  91%|█████████ | 1699/1875 [00:21<00:02, 78.33it/s, v_num=5, train_loss=0.117]
Epoch 0:  91%|█████████ | 1700/1875 [00:21<00:02, 78.33it/s, v_num=5, train_loss=0.117]
Epoch 0:  91%|█████████ | 1700/1875 [00:21<00:02, 78.33it/s, v_num=5, train_loss=0.128]
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Epoch 0:  91%|█████████ | 1701/1875 [00:21<00:02, 78.33it/s, v_num=5, train_loss=0.309]
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Epoch 0:  91%|█████████ | 1702/1875 [00:21<00:02, 78.33it/s, v_num=5, train_loss=0.241]
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Epoch 0:  91%|█████████ | 1704/1875 [00:21<00:02, 78.32it/s, v_num=5, train_loss=0.197]
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Epoch 0:  91%|█████████ | 1705/1875 [00:21<00:02, 78.32it/s, v_num=5, train_loss=0.239]
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Epoch 0:  91%|█████████ | 1706/1875 [00:21<00:02, 78.32it/s, v_num=5, train_loss=0.0612]
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Epoch 0:  91%|█████████ | 1707/1875 [00:21<00:02, 78.32it/s, v_num=5, train_loss=0.179]
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Epoch 0:  91%|█████████ | 1708/1875 [00:21<00:02, 78.32it/s, v_num=5, train_loss=0.238]
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Epoch 0:  91%|█████████ | 1710/1875 [00:21<00:02, 78.32it/s, v_num=5, train_loss=0.059]
Epoch 0:  91%|█████████▏| 1711/1875 [00:21<00:02, 78.32it/s, v_num=5, train_loss=0.059]
Epoch 0:  91%|█████████▏| 1711/1875 [00:21<00:02, 78.32it/s, v_num=5, train_loss=0.323]
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Epoch 0:  91%|█████████▏| 1712/1875 [00:21<00:02, 78.32it/s, v_num=5, train_loss=0.183]
Epoch 0:  91%|█████████▏| 1713/1875 [00:21<00:02, 78.32it/s, v_num=5, train_loss=0.183]
Epoch 0:  91%|█████████▏| 1713/1875 [00:21<00:02, 78.32it/s, v_num=5, train_loss=0.0747]
Epoch 0:  91%|█████████▏| 1714/1875 [00:21<00:02, 78.32it/s, v_num=5, train_loss=0.0747]
Epoch 0:  91%|█████████▏| 1714/1875 [00:21<00:02, 78.32it/s, v_num=5, train_loss=0.306]
Epoch 0:  91%|█████████▏| 1715/1875 [00:21<00:02, 78.32it/s, v_num=5, train_loss=0.306]
Epoch 0:  91%|█████████▏| 1715/1875 [00:21<00:02, 78.32it/s, v_num=5, train_loss=0.0426]
Epoch 0:  92%|█████████▏| 1716/1875 [00:21<00:02, 78.32it/s, v_num=5, train_loss=0.0426]
Epoch 0:  92%|█████████▏| 1716/1875 [00:21<00:02, 78.32it/s, v_num=5, train_loss=0.318]
Epoch 0:  92%|█████████▏| 1717/1875 [00:21<00:02, 78.32it/s, v_num=5, train_loss=0.318]
Epoch 0:  92%|█████████▏| 1717/1875 [00:21<00:02, 78.32it/s, v_num=5, train_loss=0.115]
Epoch 0:  92%|█████████▏| 1718/1875 [00:21<00:02, 78.32it/s, v_num=5, train_loss=0.115]
Epoch 0:  92%|█████████▏| 1718/1875 [00:21<00:02, 78.32it/s, v_num=5, train_loss=0.140]
Epoch 0:  92%|█████████▏| 1719/1875 [00:21<00:01, 78.32it/s, v_num=5, train_loss=0.140]
Epoch 0:  92%|█████████▏| 1719/1875 [00:21<00:01, 78.32it/s, v_num=5, train_loss=0.248]
Epoch 0:  92%|█████████▏| 1720/1875 [00:21<00:01, 78.32it/s, v_num=5, train_loss=0.248]
Epoch 0:  92%|█████████▏| 1720/1875 [00:21<00:01, 78.32it/s, v_num=5, train_loss=0.0857]
Epoch 0:  92%|█████████▏| 1721/1875 [00:21<00:01, 78.32it/s, v_num=5, train_loss=0.0857]
Epoch 0:  92%|█████████▏| 1721/1875 [00:21<00:01, 78.32it/s, v_num=5, train_loss=0.129]
Epoch 0:  92%|█████████▏| 1722/1875 [00:21<00:01, 78.32it/s, v_num=5, train_loss=0.129]
Epoch 0:  92%|█████████▏| 1722/1875 [00:21<00:01, 78.32it/s, v_num=5, train_loss=0.0289]
Epoch 0:  92%|█████████▏| 1723/1875 [00:21<00:01, 78.32it/s, v_num=5, train_loss=0.0289]
Epoch 0:  92%|█████████▏| 1723/1875 [00:21<00:01, 78.32it/s, v_num=5, train_loss=0.257]
Epoch 0:  92%|█████████▏| 1724/1875 [00:22<00:01, 78.32it/s, v_num=5, train_loss=0.257]
Epoch 0:  92%|█████████▏| 1724/1875 [00:22<00:01, 78.32it/s, v_num=5, train_loss=0.0403]
Epoch 0:  92%|█████████▏| 1725/1875 [00:22<00:01, 78.32it/s, v_num=5, train_loss=0.0403]
Epoch 0:  92%|█████████▏| 1725/1875 [00:22<00:01, 78.32it/s, v_num=5, train_loss=0.132]
Epoch 0:  92%|█████████▏| 1726/1875 [00:22<00:01, 78.32it/s, v_num=5, train_loss=0.132]
Epoch 0:  92%|█████████▏| 1726/1875 [00:22<00:01, 78.32it/s, v_num=5, train_loss=0.177]
Epoch 0:  92%|█████████▏| 1727/1875 [00:22<00:01, 78.32it/s, v_num=5, train_loss=0.177]
Epoch 0:  92%|█████████▏| 1727/1875 [00:22<00:01, 78.32it/s, v_num=5, train_loss=0.082]
Epoch 0:  92%|█████████▏| 1728/1875 [00:22<00:01, 78.32it/s, v_num=5, train_loss=0.082]
Epoch 0:  92%|█████████▏| 1728/1875 [00:22<00:01, 78.32it/s, v_num=5, train_loss=0.367]
Epoch 0:  92%|█████████▏| 1729/1875 [00:22<00:01, 78.32it/s, v_num=5, train_loss=0.367]
Epoch 0:  92%|█████████▏| 1729/1875 [00:22<00:01, 78.32it/s, v_num=5, train_loss=0.404]
Epoch 0:  92%|█████████▏| 1730/1875 [00:22<00:01, 78.32it/s, v_num=5, train_loss=0.404]
Epoch 0:  92%|█████████▏| 1730/1875 [00:22<00:01, 78.32it/s, v_num=5, train_loss=0.139]
Epoch 0:  92%|█████████▏| 1731/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.139]
Epoch 0:  92%|█████████▏| 1731/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.126]
Epoch 0:  92%|█████████▏| 1732/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.126]
Epoch 0:  92%|█████████▏| 1732/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.0905]
Epoch 0:  92%|█████████▏| 1733/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.0905]
Epoch 0:  92%|█████████▏| 1733/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.178]
Epoch 0:  92%|█████████▏| 1734/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.178]
Epoch 0:  92%|█████████▏| 1734/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.167]
Epoch 0:  93%|█████████▎| 1735/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.167]
Epoch 0:  93%|█████████▎| 1735/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.291]
Epoch 0:  93%|█████████▎| 1736/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.291]
Epoch 0:  93%|█████████▎| 1736/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.0702]
Epoch 0:  93%|█████████▎| 1737/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.0702]
Epoch 0:  93%|█████████▎| 1737/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.197]
Epoch 0:  93%|█████████▎| 1738/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.197]
Epoch 0:  93%|█████████▎| 1738/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.114]
Epoch 0:  93%|█████████▎| 1739/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.114]
Epoch 0:  93%|█████████▎| 1739/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.120]
Epoch 0:  93%|█████████▎| 1740/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.120]
Epoch 0:  93%|█████████▎| 1740/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.139]
Epoch 0:  93%|█████████▎| 1741/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.139]
Epoch 0:  93%|█████████▎| 1741/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.0382]
Epoch 0:  93%|█████████▎| 1742/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.0382]
Epoch 0:  93%|█████████▎| 1742/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.133]
Epoch 0:  93%|█████████▎| 1743/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.133]
Epoch 0:  93%|█████████▎| 1743/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.206]
Epoch 0:  93%|█████████▎| 1744/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.206]
Epoch 0:  93%|█████████▎| 1744/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.499]
Epoch 0:  93%|█████████▎| 1745/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.499]
Epoch 0:  93%|█████████▎| 1745/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.335]
Epoch 0:  93%|█████████▎| 1746/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.335]
Epoch 0:  93%|█████████▎| 1746/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.162]
Epoch 0:  93%|█████████▎| 1747/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.162]
Epoch 0:  93%|█████████▎| 1747/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.0702]
Epoch 0:  93%|█████████▎| 1748/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.0702]
Epoch 0:  93%|█████████▎| 1748/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.022]
Epoch 0:  93%|█████████▎| 1749/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.022]
Epoch 0:  93%|█████████▎| 1749/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.194]
Epoch 0:  93%|█████████▎| 1750/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.194]
Epoch 0:  93%|█████████▎| 1750/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.245]
Epoch 0:  93%|█████████▎| 1751/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.245]
Epoch 0:  93%|█████████▎| 1751/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.154]
Epoch 0:  93%|█████████▎| 1752/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.154]
Epoch 0:  93%|█████████▎| 1752/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.265]
Epoch 0:  93%|█████████▎| 1753/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.265]
Epoch 0:  93%|█████████▎| 1753/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.112]
Epoch 0:  94%|█████████▎| 1754/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.112]
Epoch 0:  94%|█████████▎| 1754/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.154]
Epoch 0:  94%|█████████▎| 1755/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.154]
Epoch 0:  94%|█████████▎| 1755/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.269]
Epoch 0:  94%|█████████▎| 1756/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.269]
Epoch 0:  94%|█████████▎| 1756/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.234]
Epoch 0:  94%|█████████▎| 1757/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.234]
Epoch 0:  94%|█████████▎| 1757/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.0534]
Epoch 0:  94%|█████████▍| 1758/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.0534]
Epoch 0:  94%|█████████▍| 1758/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.170]
Epoch 0:  94%|█████████▍| 1759/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.170]
Epoch 0:  94%|█████████▍| 1759/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.304]
Epoch 0:  94%|█████████▍| 1760/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.304]
Epoch 0:  94%|█████████▍| 1760/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.0606]
Epoch 0:  94%|█████████▍| 1761/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.0606]
Epoch 0:  94%|█████████▍| 1761/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.199]
Epoch 0:  94%|█████████▍| 1762/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.199]
Epoch 0:  94%|█████████▍| 1762/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.0634]
Epoch 0:  94%|█████████▍| 1763/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.0634]
Epoch 0:  94%|█████████▍| 1763/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.422]
Epoch 0:  94%|█████████▍| 1764/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.422]
Epoch 0:  94%|█████████▍| 1764/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.163]
Epoch 0:  94%|█████████▍| 1765/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.163]
Epoch 0:  94%|█████████▍| 1765/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.134]
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Epoch 0:  94%|█████████▍| 1766/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.358]
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Epoch 0:  94%|█████████▍| 1767/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.0777]
Epoch 0:  94%|█████████▍| 1768/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.0777]
Epoch 0:  94%|█████████▍| 1768/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.307]
Epoch 0:  94%|█████████▍| 1769/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.307]
Epoch 0:  94%|█████████▍| 1769/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.165]
Epoch 0:  94%|█████████▍| 1770/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.165]
Epoch 0:  94%|█████████▍| 1770/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.233]
Epoch 0:  94%|█████████▍| 1771/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.233]
Epoch 0:  94%|█████████▍| 1771/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.102]
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Epoch 0:  95%|█████████▍| 1772/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.0942]
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Epoch 0:  95%|█████████▍| 1773/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.126]
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Epoch 0:  95%|█████████▍| 1774/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.0683]
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Epoch 0:  95%|█████████▍| 1775/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.301]
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Epoch 0:  95%|█████████▍| 1776/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.406]
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Epoch 0:  95%|█████████▍| 1777/1875 [00:22<00:01, 78.30it/s, v_num=5, train_loss=0.281]
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Epoch 0:  95%|█████████▌| 1783/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.330]
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Epoch 0:  95%|█████████▌| 1785/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.240]
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Epoch 0:  95%|█████████▌| 1788/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.318]
Epoch 0:  95%|█████████▌| 1789/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.318]
Epoch 0:  95%|█████████▌| 1789/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.145]
Epoch 0:  95%|█████████▌| 1790/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.145]
Epoch 0:  95%|█████████▌| 1790/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.220]
Epoch 0:  96%|█████████▌| 1791/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.220]
Epoch 0:  96%|█████████▌| 1791/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.184]
Epoch 0:  96%|█████████▌| 1792/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.184]
Epoch 0:  96%|█████████▌| 1792/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.253]
Epoch 0:  96%|█████████▌| 1793/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.253]
Epoch 0:  96%|█████████▌| 1793/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.293]
Epoch 0:  96%|█████████▌| 1794/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.293]
Epoch 0:  96%|█████████▌| 1794/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.157]
Epoch 0:  96%|█████████▌| 1795/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.157]
Epoch 0:  96%|█████████▌| 1795/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.0236]
Epoch 0:  96%|█████████▌| 1796/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.0236]
Epoch 0:  96%|█████████▌| 1796/1875 [00:22<00:01, 78.31it/s, v_num=5, train_loss=0.136]
Epoch 0:  96%|█████████▌| 1797/1875 [00:22<00:00, 78.31it/s, v_num=5, train_loss=0.136]
Epoch 0:  96%|█████████▌| 1797/1875 [00:22<00:00, 78.31it/s, v_num=5, train_loss=0.517]
Epoch 0:  96%|█████████▌| 1798/1875 [00:22<00:00, 78.31it/s, v_num=5, train_loss=0.517]
Epoch 0:  96%|█████████▌| 1798/1875 [00:22<00:00, 78.30it/s, v_num=5, train_loss=0.126]
Epoch 0:  96%|█████████▌| 1799/1875 [00:22<00:00, 78.30it/s, v_num=5, train_loss=0.126]
Epoch 0:  96%|█████████▌| 1799/1875 [00:22<00:00, 78.30it/s, v_num=5, train_loss=0.122]
Epoch 0:  96%|█████████▌| 1800/1875 [00:22<00:00, 78.30it/s, v_num=5, train_loss=0.122]
Epoch 0:  96%|█████████▌| 1800/1875 [00:22<00:00, 78.30it/s, v_num=5, train_loss=0.292]
Epoch 0:  96%|█████████▌| 1801/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.292]
Epoch 0:  96%|█████████▌| 1801/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.0416]
Epoch 0:  96%|█████████▌| 1802/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.0416]
Epoch 0:  96%|█████████▌| 1802/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.462]
Epoch 0:  96%|█████████▌| 1803/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.462]
Epoch 0:  96%|█████████▌| 1803/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.201]
Epoch 0:  96%|█████████▌| 1804/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.201]
Epoch 0:  96%|█████████▌| 1804/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.388]
Epoch 0:  96%|█████████▋| 1805/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.388]
Epoch 0:  96%|█████████▋| 1805/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.128]
Epoch 0:  96%|█████████▋| 1806/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.128]
Epoch 0:  96%|█████████▋| 1806/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.168]
Epoch 0:  96%|█████████▋| 1807/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.168]
Epoch 0:  96%|█████████▋| 1807/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.162]
Epoch 0:  96%|█████████▋| 1808/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.162]
Epoch 0:  96%|█████████▋| 1808/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.250]
Epoch 0:  96%|█████████▋| 1809/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.250]
Epoch 0:  96%|█████████▋| 1809/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.341]
Epoch 0:  97%|█████████▋| 1810/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.341]
Epoch 0:  97%|█████████▋| 1810/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.141]
Epoch 0:  97%|█████████▋| 1811/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.141]
Epoch 0:  97%|█████████▋| 1811/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.164]
Epoch 0:  97%|█████████▋| 1812/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.164]
Epoch 0:  97%|█████████▋| 1812/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.330]
Epoch 0:  97%|█████████▋| 1813/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.330]
Epoch 0:  97%|█████████▋| 1813/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.0713]
Epoch 0:  97%|█████████▋| 1814/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.0713]
Epoch 0:  97%|█████████▋| 1814/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.124]
Epoch 0:  97%|█████████▋| 1815/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.124]
Epoch 0:  97%|█████████▋| 1815/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.566]
Epoch 0:  97%|█████████▋| 1816/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.566]
Epoch 0:  97%|█████████▋| 1816/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.0694]
Epoch 0:  97%|█████████▋| 1817/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.0694]
Epoch 0:  97%|█████████▋| 1817/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.0517]
Epoch 0:  97%|█████████▋| 1818/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.0517]
Epoch 0:  97%|█████████▋| 1818/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.024]
Epoch 0:  97%|█████████▋| 1819/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.024]
Epoch 0:  97%|█████████▋| 1819/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.256]
Epoch 0:  97%|█████████▋| 1820/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.256]
Epoch 0:  97%|█████████▋| 1820/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.225]
Epoch 0:  97%|█████████▋| 1821/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.225]
Epoch 0:  97%|█████████▋| 1821/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.100]
Epoch 0:  97%|█████████▋| 1822/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.100]
Epoch 0:  97%|█████████▋| 1822/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.357]
Epoch 0:  97%|█████████▋| 1823/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.357]
Epoch 0:  97%|█████████▋| 1823/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.266]
Epoch 0:  97%|█████████▋| 1824/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.266]
Epoch 0:  97%|█████████▋| 1824/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.534]
Epoch 0:  97%|█████████▋| 1825/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.534]
Epoch 0:  97%|█████████▋| 1825/1875 [00:23<00:00, 78.30it/s, v_num=5, train_loss=0.493]
Epoch 0:  97%|█████████▋| 1826/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.493]
Epoch 0:  97%|█████████▋| 1826/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.301]
Epoch 0:  97%|█████████▋| 1827/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.301]
Epoch 0:  97%|█████████▋| 1827/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.211]
Epoch 0:  97%|█████████▋| 1828/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.211]
Epoch 0:  97%|█████████▋| 1828/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.322]
Epoch 0:  98%|█████████▊| 1829/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.322]
Epoch 0:  98%|█████████▊| 1829/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.215]
Epoch 0:  98%|█████████▊| 1830/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.215]
Epoch 0:  98%|█████████▊| 1830/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.0447]
Epoch 0:  98%|█████████▊| 1831/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.0447]
Epoch 0:  98%|█████████▊| 1831/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.152]
Epoch 0:  98%|█████████▊| 1832/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.152]
Epoch 0:  98%|█████████▊| 1832/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.170]
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Epoch 0:  98%|█████████▊| 1833/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.273]
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Epoch 0:  98%|█████████▊| 1834/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.342]
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Epoch 0:  98%|█████████▊| 1835/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.265]
Epoch 0:  98%|█████████▊| 1836/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.265]
Epoch 0:  98%|█████████▊| 1836/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.206]
Epoch 0:  98%|█████████▊| 1837/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.206]
Epoch 0:  98%|█████████▊| 1837/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.287]
Epoch 0:  98%|█████████▊| 1838/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.287]
Epoch 0:  98%|█████████▊| 1838/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.161]
Epoch 0:  98%|█████████▊| 1839/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.161]
Epoch 0:  98%|█████████▊| 1839/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.227]
Epoch 0:  98%|█████████▊| 1840/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.227]
Epoch 0:  98%|█████████▊| 1840/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.0962]
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Epoch 0:  98%|█████████▊| 1841/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.177]
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Epoch 0:  98%|█████████▊| 1842/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.282]
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Epoch 0:  98%|█████████▊| 1843/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.148]
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Epoch 0:  98%|█████████▊| 1844/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.165]
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Epoch 0:  98%|█████████▊| 1845/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.279]
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Epoch 0:  98%|█████████▊| 1846/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.0505]
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Epoch 0:  99%|█████████▊| 1847/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.0974]
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Epoch 0:  99%|█████████▊| 1848/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.0638]
Epoch 0:  99%|█████████▊| 1849/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.0638]
Epoch 0:  99%|█████████▊| 1849/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.227]
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Epoch 0:  99%|█████████▊| 1850/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.334]
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Epoch 0:  99%|█████████▊| 1851/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.175]
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Epoch 0:  99%|█████████▉| 1853/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.0657]
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Epoch 0:  99%|█████████▉| 1857/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.317]
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Epoch 0:  99%|█████████▉| 1859/1875 [00:23<00:00, 78.31it/s, v_num=5, train_loss=0.111]
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Epoch 0:  99%|█████████▉| 1860/1875 [00:23<00:00, 78.32it/s, v_num=5, train_loss=0.560]
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Epoch 0: 100%|██████████| 1875/1875 [00:26<00:00, 70.38it/s, v_num=5, train_loss=0.348, Acc%=95.60]
Epoch 0: 100%|██████████| 1875/1875 [00:26<00:00, 70.37it/s, v_num=5, train_loss=0.348, Acc%=95.60]
Epoch 0:   0%|          | 0/1875 [00:00<?, ?it/s, v_num=5, train_loss=0.348, Acc%=95.60]
Epoch 1:   0%|          | 0/1875 [00:00<?, ?it/s, v_num=5, train_loss=0.348, Acc%=95.60]
Epoch 1:   0%|          | 1/1875 [00:00<00:27, 69.22it/s, v_num=5, train_loss=0.348, Acc%=95.60]
Epoch 1:   0%|          | 1/1875 [00:00<00:27, 68.20it/s, v_num=5, train_loss=0.317, Acc%=95.60]
Epoch 1:   0%|          | 2/1875 [00:00<00:25, 73.89it/s, v_num=5, train_loss=0.317, Acc%=95.60]
Epoch 1:   0%|          | 2/1875 [00:00<00:25, 73.30it/s, v_num=5, train_loss=0.552, Acc%=95.60]
Epoch 1:   0%|          | 3/1875 [00:00<00:24, 75.76it/s, v_num=5, train_loss=0.552, Acc%=95.60]
Epoch 1:   0%|          | 3/1875 [00:00<00:24, 75.36it/s, v_num=5, train_loss=0.168, Acc%=95.60]
Epoch 1:   0%|          | 4/1875 [00:00<00:24, 76.57it/s, v_num=5, train_loss=0.168, Acc%=95.60]
Epoch 1:   0%|          | 4/1875 [00:00<00:24, 76.25it/s, v_num=5, train_loss=0.398, Acc%=95.60]
Epoch 1:   0%|          | 5/1875 [00:00<00:24, 76.88it/s, v_num=5, train_loss=0.398, Acc%=95.60]
Epoch 1:   0%|          | 5/1875 [00:00<00:24, 76.62it/s, v_num=5, train_loss=0.220, Acc%=95.60]
Epoch 1:   0%|          | 6/1875 [00:00<00:24, 77.22it/s, v_num=5, train_loss=0.220, Acc%=95.60]
Epoch 1:   0%|          | 6/1875 [00:00<00:24, 77.00it/s, v_num=5, train_loss=0.0676, Acc%=95.60]
Epoch 1:   0%|          | 7/1875 [00:00<00:24, 77.47it/s, v_num=5, train_loss=0.0676, Acc%=95.60]
Epoch 1:   0%|          | 7/1875 [00:00<00:24, 77.27it/s, v_num=5, train_loss=0.235, Acc%=95.60]
Epoch 1:   0%|          | 8/1875 [00:00<00:24, 77.68it/s, v_num=5, train_loss=0.235, Acc%=95.60]
Epoch 1:   0%|          | 8/1875 [00:00<00:24, 77.52it/s, v_num=5, train_loss=0.242, Acc%=95.60]
Epoch 1:   0%|          | 9/1875 [00:00<00:23, 77.87it/s, v_num=5, train_loss=0.242, Acc%=95.60]
Epoch 1:   0%|          | 9/1875 [00:00<00:24, 77.72it/s, v_num=5, train_loss=0.402, Acc%=95.60]
Epoch 1:   1%|          | 10/1875 [00:00<00:23, 77.99it/s, v_num=5, train_loss=0.402, Acc%=95.60]
Epoch 1:   1%|          | 10/1875 [00:00<00:23, 77.85it/s, v_num=5, train_loss=0.317, Acc%=95.60]
Epoch 1:   1%|          | 11/1875 [00:00<00:23, 78.07it/s, v_num=5, train_loss=0.317, Acc%=95.60]
Epoch 1:   1%|          | 11/1875 [00:00<00:23, 77.95it/s, v_num=5, train_loss=0.191, Acc%=95.60]
Epoch 1:   1%|          | 12/1875 [00:00<00:23, 78.13it/s, v_num=5, train_loss=0.191, Acc%=95.60]
Epoch 1:   1%|          | 12/1875 [00:00<00:23, 78.02it/s, v_num=5, train_loss=0.0835, Acc%=95.60]
Epoch 1:   1%|          | 13/1875 [00:00<00:23, 78.15it/s, v_num=5, train_loss=0.0835, Acc%=95.60]
Epoch 1:   1%|          | 13/1875 [00:00<00:23, 78.05it/s, v_num=5, train_loss=0.051, Acc%=95.60]
Epoch 1:   1%|          | 14/1875 [00:00<00:23, 78.22it/s, v_num=5, train_loss=0.051, Acc%=95.60]
Epoch 1:   1%|          | 14/1875 [00:00<00:23, 78.12it/s, v_num=5, train_loss=0.195, Acc%=95.60]
Epoch 1:   1%|          | 15/1875 [00:00<00:23, 78.23it/s, v_num=5, train_loss=0.195, Acc%=95.60]
Epoch 1:   1%|          | 15/1875 [00:00<00:23, 78.14it/s, v_num=5, train_loss=0.242, Acc%=95.60]
Epoch 1:   1%|          | 16/1875 [00:00<00:23, 78.25it/s, v_num=5, train_loss=0.242, Acc%=95.60]
Epoch 1:   1%|          | 16/1875 [00:00<00:23, 78.17it/s, v_num=5, train_loss=0.114, Acc%=95.60]
Epoch 1:   1%|          | 17/1875 [00:00<00:23, 78.30it/s, v_num=5, train_loss=0.114, Acc%=95.60]
Epoch 1:   1%|          | 17/1875 [00:00<00:23, 78.22it/s, v_num=5, train_loss=0.147, Acc%=95.60]
Epoch 1:   1%|          | 18/1875 [00:00<00:23, 78.33it/s, v_num=5, train_loss=0.147, Acc%=95.60]
Epoch 1:   1%|          | 18/1875 [00:00<00:23, 78.26it/s, v_num=5, train_loss=0.117, Acc%=95.60]
Epoch 1:   1%|          | 19/1875 [00:00<00:23, 78.38it/s, v_num=5, train_loss=0.117, Acc%=95.60]
Epoch 1:   1%|          | 19/1875 [00:00<00:23, 78.31it/s, v_num=5, train_loss=0.0537, Acc%=95.60]
Epoch 1:   1%|          | 20/1875 [00:00<00:23, 78.38it/s, v_num=5, train_loss=0.0537, Acc%=95.60]
Epoch 1:   1%|          | 20/1875 [00:00<00:23, 78.30it/s, v_num=5, train_loss=0.0414, Acc%=95.60]
Epoch 1:   1%|          | 21/1875 [00:00<00:23, 78.35it/s, v_num=5, train_loss=0.0414, Acc%=95.60]
Epoch 1:   1%|          | 21/1875 [00:00<00:23, 78.28it/s, v_num=5, train_loss=0.249, Acc%=95.60]
Epoch 1:   1%|          | 22/1875 [00:00<00:23, 78.32it/s, v_num=5, train_loss=0.249, Acc%=95.60]
Epoch 1:   1%|          | 22/1875 [00:00<00:23, 78.26it/s, v_num=5, train_loss=0.410, Acc%=95.60]
Epoch 1:   1%|          | 23/1875 [00:00<00:23, 78.34it/s, v_num=5, train_loss=0.410, Acc%=95.60]
Epoch 1:   1%|          | 23/1875 [00:00<00:23, 78.28it/s, v_num=5, train_loss=0.351, Acc%=95.60]
Epoch 1:   1%|▏         | 24/1875 [00:00<00:23, 78.37it/s, v_num=5, train_loss=0.351, Acc%=95.60]
Epoch 1:   1%|▏         | 24/1875 [00:00<00:23, 78.32it/s, v_num=5, train_loss=0.152, Acc%=95.60]
Epoch 1:   1%|▏         | 25/1875 [00:00<00:23, 78.40it/s, v_num=5, train_loss=0.152, Acc%=95.60]
Epoch 1:   1%|▏         | 25/1875 [00:00<00:23, 78.35it/s, v_num=5, train_loss=0.0903, Acc%=95.60]
Epoch 1:   1%|▏         | 26/1875 [00:00<00:23, 78.31it/s, v_num=5, train_loss=0.0903, Acc%=95.60]
Epoch 1:   1%|▏         | 26/1875 [00:00<00:23, 78.26it/s, v_num=5, train_loss=0.0406, Acc%=95.60]
Epoch 1:   1%|▏         | 27/1875 [00:00<00:23, 78.34it/s, v_num=5, train_loss=0.0406, Acc%=95.60]
Epoch 1:   1%|▏         | 27/1875 [00:00<00:23, 78.29it/s, v_num=5, train_loss=0.205, Acc%=95.60]
Epoch 1:   1%|▏         | 28/1875 [00:00<00:23, 78.35it/s, v_num=5, train_loss=0.205, Acc%=95.60]
Epoch 1:   1%|▏         | 28/1875 [00:00<00:23, 78.30it/s, v_num=5, train_loss=0.517, Acc%=95.60]
Epoch 1:   2%|▏         | 29/1875 [00:00<00:23, 78.36it/s, v_num=5, train_loss=0.517, Acc%=95.60]
Epoch 1:   2%|▏         | 29/1875 [00:00<00:23, 78.31it/s, v_num=5, train_loss=0.158, Acc%=95.60]
Epoch 1:   2%|▏         | 30/1875 [00:00<00:23, 78.34it/s, v_num=5, train_loss=0.158, Acc%=95.60]
Epoch 1:   2%|▏         | 30/1875 [00:00<00:23, 78.30it/s, v_num=5, train_loss=0.184, Acc%=95.60]
Epoch 1:   2%|▏         | 31/1875 [00:00<00:23, 78.34it/s, v_num=5, train_loss=0.184, Acc%=95.60]
Epoch 1:   2%|▏         | 31/1875 [00:00<00:23, 78.30it/s, v_num=5, train_loss=0.433, Acc%=95.60]
Epoch 1:   2%|▏         | 32/1875 [00:00<00:23, 78.34it/s, v_num=5, train_loss=0.433, Acc%=95.60]
Epoch 1:   2%|▏         | 32/1875 [00:00<00:23, 78.30it/s, v_num=5, train_loss=0.184, Acc%=95.60]
Epoch 1:   2%|▏         | 33/1875 [00:00<00:23, 78.37it/s, v_num=5, train_loss=0.184, Acc%=95.60]
Epoch 1:   2%|▏         | 33/1875 [00:00<00:23, 78.32it/s, v_num=5, train_loss=0.076, Acc%=95.60]
Epoch 1:   2%|▏         | 34/1875 [00:00<00:23, 78.37it/s, v_num=5, train_loss=0.076, Acc%=95.60]
Epoch 1:   2%|▏         | 34/1875 [00:00<00:23, 78.33it/s, v_num=5, train_loss=0.0851, Acc%=95.60]
Epoch 1:   2%|▏         | 35/1875 [00:00<00:23, 78.37it/s, v_num=5, train_loss=0.0851, Acc%=95.60]
Epoch 1:   2%|▏         | 35/1875 [00:00<00:23, 78.33it/s, v_num=5, train_loss=0.252, Acc%=95.60]
Epoch 1:   2%|▏         | 36/1875 [00:00<00:23, 78.35it/s, v_num=5, train_loss=0.252, Acc%=95.60]
Epoch 1:   2%|▏         | 36/1875 [00:00<00:23, 78.31it/s, v_num=5, train_loss=0.115, Acc%=95.60]
Epoch 1:   2%|▏         | 37/1875 [00:00<00:23, 78.34it/s, v_num=5, train_loss=0.115, Acc%=95.60]
Epoch 1:   2%|▏         | 37/1875 [00:00<00:23, 78.31it/s, v_num=5, train_loss=0.223, Acc%=95.60]
Epoch 1:   2%|▏         | 38/1875 [00:00<00:23, 78.35it/s, v_num=5, train_loss=0.223, Acc%=95.60]
Epoch 1:   2%|▏         | 38/1875 [00:00<00:23, 78.32it/s, v_num=5, train_loss=0.128, Acc%=95.60]
Epoch 1:   2%|▏         | 39/1875 [00:00<00:23, 78.37it/s, v_num=5, train_loss=0.128, Acc%=95.60]
Epoch 1:   2%|▏         | 39/1875 [00:00<00:23, 78.34it/s, v_num=5, train_loss=0.0383, Acc%=95.60]
Epoch 1:   2%|▏         | 40/1875 [00:00<00:23, 78.39it/s, v_num=5, train_loss=0.0383, Acc%=95.60]
Epoch 1:   2%|▏         | 40/1875 [00:00<00:23, 78.36it/s, v_num=5, train_loss=0.0667, Acc%=95.60]
Epoch 1:   2%|▏         | 41/1875 [00:00<00:23, 78.32it/s, v_num=5, train_loss=0.0667, Acc%=95.60]
Epoch 1:   2%|▏         | 41/1875 [00:00<00:23, 78.28it/s, v_num=5, train_loss=0.0911, Acc%=95.60]
Epoch 1:   2%|▏         | 42/1875 [00:00<00:23, 78.24it/s, v_num=5, train_loss=0.0911, Acc%=95.60]
Epoch 1:   2%|▏         | 42/1875 [00:00<00:23, 78.20it/s, v_num=5, train_loss=0.190, Acc%=95.60]
Epoch 1:   2%|▏         | 43/1875 [00:00<00:23, 78.24it/s, v_num=5, train_loss=0.190, Acc%=95.60]
Epoch 1:   2%|▏         | 43/1875 [00:00<00:23, 78.21it/s, v_num=5, train_loss=0.129, Acc%=95.60]
Epoch 1:   2%|▏         | 44/1875 [00:00<00:23, 78.26it/s, v_num=5, train_loss=0.129, Acc%=95.60]
Epoch 1:   2%|▏         | 44/1875 [00:00<00:23, 78.23it/s, v_num=5, train_loss=0.235, Acc%=95.60]
Epoch 1:   2%|▏         | 45/1875 [00:00<00:23, 78.27it/s, v_num=5, train_loss=0.235, Acc%=95.60]
Epoch 1:   2%|▏         | 45/1875 [00:00<00:23, 78.24it/s, v_num=5, train_loss=0.126, Acc%=95.60]
Epoch 1:   2%|▏         | 46/1875 [00:00<00:23, 78.29it/s, v_num=5, train_loss=0.126, Acc%=95.60]
Epoch 1:   2%|▏         | 46/1875 [00:00<00:23, 78.26it/s, v_num=5, train_loss=0.478, Acc%=95.60]
Epoch 1:   3%|▎         | 47/1875 [00:00<00:23, 78.31it/s, v_num=5, train_loss=0.478, Acc%=95.60]
Epoch 1:   3%|▎         | 47/1875 [00:00<00:23, 78.28it/s, v_num=5, train_loss=0.103, Acc%=95.60]
Epoch 1:   3%|▎         | 48/1875 [00:00<00:23, 78.32it/s, v_num=5, train_loss=0.103, Acc%=95.60]
Epoch 1:   3%|▎         | 48/1875 [00:00<00:23, 78.29it/s, v_num=5, train_loss=0.0279, Acc%=95.60]
Epoch 1:   3%|▎         | 49/1875 [00:00<00:23, 78.33it/s, v_num=5, train_loss=0.0279, Acc%=95.60]
Epoch 1:   3%|▎         | 49/1875 [00:00<00:23, 78.30it/s, v_num=5, train_loss=0.146, Acc%=95.60]
Epoch 1:   3%|▎         | 50/1875 [00:00<00:23, 78.35it/s, v_num=5, train_loss=0.146, Acc%=95.60]
Epoch 1:   3%|▎         | 50/1875 [00:00<00:23, 78.32it/s, v_num=5, train_loss=0.153, Acc%=95.60]
Epoch 1:   3%|▎         | 51/1875 [00:00<00:23, 78.38it/s, v_num=5, train_loss=0.153, Acc%=95.60]
Epoch 1:   3%|▎         | 51/1875 [00:00<00:23, 78.35it/s, v_num=5, train_loss=0.064, Acc%=95.60]
Epoch 1:   3%|▎         | 52/1875 [00:00<00:23, 78.35it/s, v_num=5, train_loss=0.064, Acc%=95.60]
Epoch 1:   3%|▎         | 52/1875 [00:00<00:23, 78.32it/s, v_num=5, train_loss=0.357, Acc%=95.60]
Epoch 1:   3%|▎         | 53/1875 [00:00<00:23, 78.36it/s, v_num=5, train_loss=0.357, Acc%=95.60]
Epoch 1:   3%|▎         | 53/1875 [00:00<00:23, 78.33it/s, v_num=5, train_loss=0.247, Acc%=95.60]
Epoch 1:   3%|▎         | 54/1875 [00:00<00:23, 78.37it/s, v_num=5, train_loss=0.247, Acc%=95.60]
Epoch 1:   3%|▎         | 54/1875 [00:00<00:23, 78.35it/s, v_num=5, train_loss=0.306, Acc%=95.60]
Epoch 1:   3%|▎         | 55/1875 [00:00<00:23, 78.38it/s, v_num=5, train_loss=0.306, Acc%=95.60]
Epoch 1:   3%|▎         | 55/1875 [00:00<00:23, 78.36it/s, v_num=5, train_loss=0.117, Acc%=95.60]
Epoch 1:   3%|▎         | 56/1875 [00:00<00:23, 78.40it/s, v_num=5, train_loss=0.117, Acc%=95.60]
Epoch 1:   3%|▎         | 56/1875 [00:00<00:23, 78.38it/s, v_num=5, train_loss=0.136, Acc%=95.60]
Epoch 1:   3%|▎         | 57/1875 [00:00<00:23, 78.42it/s, v_num=5, train_loss=0.136, Acc%=95.60]
Epoch 1:   3%|▎         | 57/1875 [00:00<00:23, 78.39it/s, v_num=5, train_loss=0.079, Acc%=95.60]
Epoch 1:   3%|▎         | 58/1875 [00:00<00:23, 78.43it/s, v_num=5, train_loss=0.079, Acc%=95.60]
Epoch 1:   3%|▎         | 58/1875 [00:00<00:23, 78.41it/s, v_num=5, train_loss=0.159, Acc%=95.60]
Epoch 1:   3%|▎         | 59/1875 [00:00<00:23, 78.45it/s, v_num=5, train_loss=0.159, Acc%=95.60]
Epoch 1:   3%|▎         | 59/1875 [00:00<00:23, 78.43it/s, v_num=5, train_loss=0.0389, Acc%=95.60]
Epoch 1:   3%|▎         | 60/1875 [00:00<00:23, 78.46it/s, v_num=5, train_loss=0.0389, Acc%=95.60]
Epoch 1:   3%|▎         | 60/1875 [00:00<00:23, 78.44it/s, v_num=5, train_loss=0.211, Acc%=95.60]
Epoch 1:   3%|▎         | 61/1875 [00:00<00:23, 78.47it/s, v_num=5, train_loss=0.211, Acc%=95.60]
Epoch 1:   3%|▎         | 61/1875 [00:00<00:23, 78.45it/s, v_num=5, train_loss=0.194, Acc%=95.60]
Epoch 1:   3%|▎         | 62/1875 [00:00<00:23, 78.48it/s, v_num=5, train_loss=0.194, Acc%=95.60]
Epoch 1:   3%|▎         | 62/1875 [00:00<00:23, 78.46it/s, v_num=5, train_loss=0.0744, Acc%=95.60]
Epoch 1:   3%|▎         | 63/1875 [00:00<00:23, 78.48it/s, v_num=5, train_loss=0.0744, Acc%=95.60]
Epoch 1:   3%|▎         | 63/1875 [00:00<00:23, 78.46it/s, v_num=5, train_loss=0.106, Acc%=95.60]
Epoch 1:   3%|▎         | 64/1875 [00:00<00:23, 78.49it/s, v_num=5, train_loss=0.106, Acc%=95.60]
Epoch 1:   3%|▎         | 64/1875 [00:00<00:23, 78.47it/s, v_num=5, train_loss=0.0629, Acc%=95.60]
Epoch 1:   3%|▎         | 65/1875 [00:00<00:23, 78.50it/s, v_num=5, train_loss=0.0629, Acc%=95.60]
Epoch 1:   3%|▎         | 65/1875 [00:00<00:23, 78.47it/s, v_num=5, train_loss=0.177, Acc%=95.60]
Epoch 1:   4%|▎         | 66/1875 [00:00<00:23, 78.49it/s, v_num=5, train_loss=0.177, Acc%=95.60]
Epoch 1:   4%|▎         | 66/1875 [00:00<00:23, 78.47it/s, v_num=5, train_loss=0.074, Acc%=95.60]
Epoch 1:   4%|▎         | 67/1875 [00:00<00:23, 78.49it/s, v_num=5, train_loss=0.074, Acc%=95.60]
Epoch 1:   4%|▎         | 67/1875 [00:00<00:23, 78.47it/s, v_num=5, train_loss=0.124, Acc%=95.60]
Epoch 1:   4%|▎         | 68/1875 [00:00<00:23, 78.47it/s, v_num=5, train_loss=0.124, Acc%=95.60]
Epoch 1:   4%|▎         | 68/1875 [00:00<00:23, 78.45it/s, v_num=5, train_loss=0.230, Acc%=95.60]
Epoch 1:   4%|▎         | 69/1875 [00:00<00:23, 78.47it/s, v_num=5, train_loss=0.230, Acc%=95.60]
Epoch 1:   4%|▎         | 69/1875 [00:00<00:23, 78.45it/s, v_num=5, train_loss=0.215, Acc%=95.60]
Epoch 1:   4%|▎         | 70/1875 [00:00<00:22, 78.48it/s, v_num=5, train_loss=0.215, Acc%=95.60]
Epoch 1:   4%|▎         | 70/1875 [00:00<00:23, 78.46it/s, v_num=5, train_loss=0.302, Acc%=95.60]
Epoch 1:   4%|▍         | 71/1875 [00:00<00:22, 78.49it/s, v_num=5, train_loss=0.302, Acc%=95.60]
Epoch 1:   4%|▍         | 71/1875 [00:00<00:22, 78.47it/s, v_num=5, train_loss=0.123, Acc%=95.60]
Epoch 1:   4%|▍         | 72/1875 [00:00<00:22, 78.50it/s, v_num=5, train_loss=0.123, Acc%=95.60]
Epoch 1:   4%|▍         | 72/1875 [00:00<00:22, 78.48it/s, v_num=5, train_loss=0.250, Acc%=95.60]
Epoch 1:   4%|▍         | 73/1875 [00:00<00:22, 78.50it/s, v_num=5, train_loss=0.250, Acc%=95.60]
Epoch 1:   4%|▍         | 73/1875 [00:00<00:22, 78.48it/s, v_num=5, train_loss=0.0594, Acc%=95.60]
Epoch 1:   4%|▍         | 74/1875 [00:00<00:22, 78.50it/s, v_num=5, train_loss=0.0594, Acc%=95.60]
Epoch 1:   4%|▍         | 74/1875 [00:00<00:22, 78.48it/s, v_num=5, train_loss=0.203, Acc%=95.60]
Epoch 1:   4%|▍         | 75/1875 [00:00<00:22, 78.50it/s, v_num=5, train_loss=0.203, Acc%=95.60]
Epoch 1:   4%|▍         | 75/1875 [00:00<00:22, 78.48it/s, v_num=5, train_loss=0.0607, Acc%=95.60]
Epoch 1:   4%|▍         | 76/1875 [00:00<00:22, 78.46it/s, v_num=5, train_loss=0.0607, Acc%=95.60]
Epoch 1:   4%|▍         | 76/1875 [00:00<00:22, 78.45it/s, v_num=5, train_loss=0.0395, Acc%=95.60]
Epoch 1:   4%|▍         | 77/1875 [00:00<00:22, 78.47it/s, v_num=5, train_loss=0.0395, Acc%=95.60]
Epoch 1:   4%|▍         | 77/1875 [00:00<00:22, 78.45it/s, v_num=5, train_loss=0.109, Acc%=95.60]
Epoch 1:   4%|▍         | 78/1875 [00:00<00:22, 78.47it/s, v_num=5, train_loss=0.109, Acc%=95.60]
Epoch 1:   4%|▍         | 78/1875 [00:00<00:22, 78.46it/s, v_num=5, train_loss=0.0757, Acc%=95.60]
Epoch 1:   4%|▍         | 79/1875 [00:01<00:22, 78.48it/s, v_num=5, train_loss=0.0757, Acc%=95.60]
Epoch 1:   4%|▍         | 79/1875 [00:01<00:22, 78.47it/s, v_num=5, train_loss=0.0525, Acc%=95.60]
Epoch 1:   4%|▍         | 80/1875 [00:01<00:22, 78.49it/s, v_num=5, train_loss=0.0525, Acc%=95.60]
Epoch 1:   4%|▍         | 80/1875 [00:01<00:22, 78.48it/s, v_num=5, train_loss=0.00298, Acc%=95.60]
Epoch 1:   4%|▍         | 81/1875 [00:01<00:22, 78.50it/s, v_num=5, train_loss=0.00298, Acc%=95.60]
Epoch 1:   4%|▍         | 81/1875 [00:01<00:22, 78.49it/s, v_num=5, train_loss=0.164, Acc%=95.60]
Epoch 1:   4%|▍         | 82/1875 [00:01<00:22, 78.51it/s, v_num=5, train_loss=0.164, Acc%=95.60]
Epoch 1:   4%|▍         | 82/1875 [00:01<00:22, 78.49it/s, v_num=5, train_loss=0.115, Acc%=95.60]
Epoch 1:   4%|▍         | 83/1875 [00:01<00:22, 78.50it/s, v_num=5, train_loss=0.115, Acc%=95.60]
Epoch 1:   4%|▍         | 83/1875 [00:01<00:22, 78.48it/s, v_num=5, train_loss=0.138, Acc%=95.60]
Epoch 1:   4%|▍         | 84/1875 [00:01<00:22, 78.51it/s, v_num=5, train_loss=0.138, Acc%=95.60]
Epoch 1:   4%|▍         | 84/1875 [00:01<00:22, 78.49it/s, v_num=5, train_loss=0.174, Acc%=95.60]
Epoch 1:   5%|▍         | 85/1875 [00:01<00:22, 78.50it/s, v_num=5, train_loss=0.174, Acc%=95.60]
Epoch 1:   5%|▍         | 85/1875 [00:01<00:22, 78.49it/s, v_num=5, train_loss=0.162, Acc%=95.60]
Epoch 1:   5%|▍         | 86/1875 [00:01<00:22, 78.51it/s, v_num=5, train_loss=0.162, Acc%=95.60]
Epoch 1:   5%|▍         | 86/1875 [00:01<00:22, 78.49it/s, v_num=5, train_loss=0.216, Acc%=95.60]
Epoch 1:   5%|▍         | 87/1875 [00:01<00:22, 78.52it/s, v_num=5, train_loss=0.216, Acc%=95.60]
Epoch 1:   5%|▍         | 87/1875 [00:01<00:22, 78.50it/s, v_num=5, train_loss=0.109, Acc%=95.60]
Epoch 1:   5%|▍         | 88/1875 [00:01<00:22, 78.52it/s, v_num=5, train_loss=0.109, Acc%=95.60]
Epoch 1:   5%|▍         | 88/1875 [00:01<00:22, 78.51it/s, v_num=5, train_loss=0.0521, Acc%=95.60]
Epoch 1:   5%|▍         | 89/1875 [00:01<00:22, 78.53it/s, v_num=5, train_loss=0.0521, Acc%=95.60]
Epoch 1:   5%|▍         | 89/1875 [00:01<00:22, 78.51it/s, v_num=5, train_loss=0.0857, Acc%=95.60]
Epoch 1:   5%|▍         | 90/1875 [00:01<00:22, 78.54it/s, v_num=5, train_loss=0.0857, Acc%=95.60]
Epoch 1:   5%|▍         | 90/1875 [00:01<00:22, 78.52it/s, v_num=5, train_loss=0.237, Acc%=95.60]
Epoch 1:   5%|▍         | 91/1875 [00:01<00:22, 78.54it/s, v_num=5, train_loss=0.237, Acc%=95.60]
Epoch 1:   5%|▍         | 91/1875 [00:01<00:22, 78.53it/s, v_num=5, train_loss=0.233, Acc%=95.60]
Epoch 1:   5%|▍         | 92/1875 [00:01<00:22, 78.55it/s, v_num=5, train_loss=0.233, Acc%=95.60]
Epoch 1:   5%|▍         | 92/1875 [00:01<00:22, 78.53it/s, v_num=5, train_loss=0.683, Acc%=95.60]
Epoch 1:   5%|▍         | 93/1875 [00:01<00:22, 78.55it/s, v_num=5, train_loss=0.683, Acc%=95.60]
Epoch 1:   5%|▍         | 93/1875 [00:01<00:22, 78.54it/s, v_num=5, train_loss=0.436, Acc%=95.60]
Epoch 1:   5%|▌         | 94/1875 [00:01<00:22, 78.55it/s, v_num=5, train_loss=0.436, Acc%=95.60]
Epoch 1:   5%|▌         | 94/1875 [00:01<00:22, 78.54it/s, v_num=5, train_loss=0.240, Acc%=95.60]
Epoch 1:   5%|▌         | 95/1875 [00:01<00:22, 78.56it/s, v_num=5, train_loss=0.240, Acc%=95.60]
Epoch 1:   5%|▌         | 95/1875 [00:01<00:22, 78.54it/s, v_num=5, train_loss=0.227, Acc%=95.60]
Epoch 1:   5%|▌         | 96/1875 [00:01<00:22, 78.56it/s, v_num=5, train_loss=0.227, Acc%=95.60]
Epoch 1:   5%|▌         | 96/1875 [00:01<00:22, 78.54it/s, v_num=5, train_loss=0.186, Acc%=95.60]
Epoch 1:   5%|▌         | 97/1875 [00:01<00:22, 78.55it/s, v_num=5, train_loss=0.186, Acc%=95.60]
Epoch 1:   5%|▌         | 97/1875 [00:01<00:22, 78.54it/s, v_num=5, train_loss=0.688, Acc%=95.60]
Epoch 1:   5%|▌         | 98/1875 [00:01<00:22, 78.55it/s, v_num=5, train_loss=0.688, Acc%=95.60]
Epoch 1:   5%|▌         | 98/1875 [00:01<00:22, 78.53it/s, v_num=5, train_loss=0.191, Acc%=95.60]
Epoch 1:   5%|▌         | 99/1875 [00:01<00:22, 78.54it/s, v_num=5, train_loss=0.191, Acc%=95.60]
Epoch 1:   5%|▌         | 99/1875 [00:01<00:22, 78.52it/s, v_num=5, train_loss=0.138, Acc%=95.60]
Epoch 1:   5%|▌         | 100/1875 [00:01<00:22, 78.53it/s, v_num=5, train_loss=0.138, Acc%=95.60]
Epoch 1:   5%|▌         | 100/1875 [00:01<00:22, 78.52it/s, v_num=5, train_loss=0.358, Acc%=95.60]
Epoch 1:   5%|▌         | 101/1875 [00:01<00:22, 78.52it/s, v_num=5, train_loss=0.358, Acc%=95.60]
Epoch 1:   5%|▌         | 101/1875 [00:01<00:22, 78.51it/s, v_num=5, train_loss=0.300, Acc%=95.60]
Epoch 1:   5%|▌         | 102/1875 [00:01<00:22, 78.52it/s, v_num=5, train_loss=0.300, Acc%=95.60]
Epoch 1:   5%|▌         | 102/1875 [00:01<00:22, 78.51it/s, v_num=5, train_loss=0.267, Acc%=95.60]
Epoch 1:   5%|▌         | 103/1875 [00:01<00:22, 78.52it/s, v_num=5, train_loss=0.267, Acc%=95.60]
Epoch 1:   5%|▌         | 103/1875 [00:01<00:22, 78.51it/s, v_num=5, train_loss=0.258, Acc%=95.60]
Epoch 1:   6%|▌         | 104/1875 [00:01<00:22, 78.53it/s, v_num=5, train_loss=0.258, Acc%=95.60]
Epoch 1:   6%|▌         | 104/1875 [00:01<00:22, 78.51it/s, v_num=5, train_loss=0.085, Acc%=95.60]
Epoch 1:   6%|▌         | 105/1875 [00:01<00:22, 78.53it/s, v_num=5, train_loss=0.085, Acc%=95.60]
Epoch 1:   6%|▌         | 105/1875 [00:01<00:22, 78.52it/s, v_num=5, train_loss=0.114, Acc%=95.60]
Epoch 1:   6%|▌         | 106/1875 [00:01<00:22, 78.54it/s, v_num=5, train_loss=0.114, Acc%=95.60]
Epoch 1:   6%|▌         | 106/1875 [00:01<00:22, 78.52it/s, v_num=5, train_loss=0.222, Acc%=95.60]
Epoch 1:   6%|▌         | 107/1875 [00:01<00:22, 78.54it/s, v_num=5, train_loss=0.222, Acc%=95.60]
Epoch 1:   6%|▌         | 107/1875 [00:01<00:22, 78.53it/s, v_num=5, train_loss=0.140, Acc%=95.60]
Epoch 1:   6%|▌         | 108/1875 [00:01<00:22, 78.55it/s, v_num=5, train_loss=0.140, Acc%=95.60]
Epoch 1:   6%|▌         | 108/1875 [00:01<00:22, 78.53it/s, v_num=5, train_loss=0.283, Acc%=95.60]
Epoch 1:   6%|▌         | 109/1875 [00:01<00:22, 78.55it/s, v_num=5, train_loss=0.283, Acc%=95.60]
Epoch 1:   6%|▌         | 109/1875 [00:01<00:22, 78.54it/s, v_num=5, train_loss=0.144, Acc%=95.60]
Epoch 1:   6%|▌         | 110/1875 [00:01<00:22, 78.56it/s, v_num=5, train_loss=0.144, Acc%=95.60]
Epoch 1:   6%|▌         | 110/1875 [00:01<00:22, 78.55it/s, v_num=5, train_loss=0.239, Acc%=95.60]
Epoch 1:   6%|▌         | 111/1875 [00:01<00:22, 78.56it/s, v_num=5, train_loss=0.239, Acc%=95.60]
Epoch 1:   6%|▌         | 111/1875 [00:01<00:22, 78.55it/s, v_num=5, train_loss=0.232, Acc%=95.60]
Epoch 1:   6%|▌         | 112/1875 [00:01<00:22, 78.56it/s, v_num=5, train_loss=0.232, Acc%=95.60]
Epoch 1:   6%|▌         | 112/1875 [00:01<00:22, 78.55it/s, v_num=5, train_loss=0.385, Acc%=95.60]
Epoch 1:   6%|▌         | 113/1875 [00:01<00:22, 78.57it/s, v_num=5, train_loss=0.385, Acc%=95.60]
Epoch 1:   6%|▌         | 113/1875 [00:01<00:22, 78.56it/s, v_num=5, train_loss=0.143, Acc%=95.60]
Epoch 1:   6%|▌         | 114/1875 [00:01<00:22, 78.57it/s, v_num=5, train_loss=0.143, Acc%=95.60]
Epoch 1:   6%|▌         | 114/1875 [00:01<00:22, 78.56it/s, v_num=5, train_loss=0.228, Acc%=95.60]
Epoch 1:   6%|▌         | 115/1875 [00:01<00:22, 78.56it/s, v_num=5, train_loss=0.228, Acc%=95.60]
Epoch 1:   6%|▌         | 115/1875 [00:01<00:22, 78.55it/s, v_num=5, train_loss=0.0748, Acc%=95.60]
Epoch 1:   6%|▌         | 116/1875 [00:01<00:22, 78.57it/s, v_num=5, train_loss=0.0748, Acc%=95.60]
Epoch 1:   6%|▌         | 116/1875 [00:01<00:22, 78.56it/s, v_num=5, train_loss=0.263, Acc%=95.60]
Epoch 1:   6%|▌         | 117/1875 [00:01<00:22, 78.57it/s, v_num=5, train_loss=0.263, Acc%=95.60]
Epoch 1:   6%|▌         | 117/1875 [00:01<00:22, 78.56it/s, v_num=5, train_loss=0.0218, Acc%=95.60]
Epoch 1:   6%|▋         | 118/1875 [00:01<00:22, 78.57it/s, v_num=5, train_loss=0.0218, Acc%=95.60]
Epoch 1:   6%|▋         | 118/1875 [00:01<00:22, 78.56it/s, v_num=5, train_loss=0.0103, Acc%=95.60]
Epoch 1:   6%|▋         | 119/1875 [00:01<00:22, 78.58it/s, v_num=5, train_loss=0.0103, Acc%=95.60]
Epoch 1:   6%|▋         | 119/1875 [00:01<00:22, 78.56it/s, v_num=5, train_loss=0.249, Acc%=95.60]
Epoch 1:   6%|▋         | 120/1875 [00:01<00:22, 78.58it/s, v_num=5, train_loss=0.249, Acc%=95.60]
Epoch 1:   6%|▋         | 120/1875 [00:01<00:22, 78.57it/s, v_num=5, train_loss=0.188, Acc%=95.60]
Epoch 1:   6%|▋         | 121/1875 [00:01<00:22, 78.56it/s, v_num=5, train_loss=0.188, Acc%=95.60]
Epoch 1:   6%|▋         | 121/1875 [00:01<00:22, 78.55it/s, v_num=5, train_loss=0.232, Acc%=95.60]
Epoch 1:   7%|▋         | 122/1875 [00:01<00:22, 78.55it/s, v_num=5, train_loss=0.232, Acc%=95.60]
Epoch 1:   7%|▋         | 122/1875 [00:01<00:22, 78.53it/s, v_num=5, train_loss=0.308, Acc%=95.60]
Epoch 1:   7%|▋         | 123/1875 [00:01<00:22, 78.54it/s, v_num=5, train_loss=0.308, Acc%=95.60]
Epoch 1:   7%|▋         | 123/1875 [00:01<00:22, 78.53it/s, v_num=5, train_loss=0.0566, Acc%=95.60]
Epoch 1:   7%|▋         | 124/1875 [00:01<00:22, 78.53it/s, v_num=5, train_loss=0.0566, Acc%=95.60]
Epoch 1:   7%|▋         | 124/1875 [00:01<00:22, 78.52it/s, v_num=5, train_loss=0.0431, Acc%=95.60]
Epoch 1:   7%|▋         | 125/1875 [00:01<00:22, 78.53it/s, v_num=5, train_loss=0.0431, Acc%=95.60]
Epoch 1:   7%|▋         | 125/1875 [00:01<00:22, 78.52it/s, v_num=5, train_loss=0.154, Acc%=95.60]
Epoch 1:   7%|▋         | 126/1875 [00:01<00:22, 78.50it/s, v_num=5, train_loss=0.154, Acc%=95.60]
Epoch 1:   7%|▋         | 126/1875 [00:01<00:22, 78.49it/s, v_num=5, train_loss=0.0755, Acc%=95.60]
Epoch 1:   7%|▋         | 127/1875 [00:01<00:22, 78.50it/s, v_num=5, train_loss=0.0755, Acc%=95.60]
Epoch 1:   7%|▋         | 127/1875 [00:01<00:22, 78.49it/s, v_num=5, train_loss=0.297, Acc%=95.60]
Epoch 1:   7%|▋         | 128/1875 [00:01<00:22, 78.50it/s, v_num=5, train_loss=0.297, Acc%=95.60]
Epoch 1:   7%|▋         | 128/1875 [00:01<00:22, 78.49it/s, v_num=5, train_loss=0.120, Acc%=95.60]
Epoch 1:   7%|▋         | 129/1875 [00:01<00:22, 78.50it/s, v_num=5, train_loss=0.120, Acc%=95.60]
Epoch 1:   7%|▋         | 129/1875 [00:01<00:22, 78.49it/s, v_num=5, train_loss=0.166, Acc%=95.60]
Epoch 1:   7%|▋         | 130/1875 [00:01<00:22, 78.50it/s, v_num=5, train_loss=0.166, Acc%=95.60]
Epoch 1:   7%|▋         | 130/1875 [00:01<00:22, 78.49it/s, v_num=5, train_loss=0.367, Acc%=95.60]
Epoch 1:   7%|▋         | 131/1875 [00:01<00:22, 78.50it/s, v_num=5, train_loss=0.367, Acc%=95.60]
Epoch 1:   7%|▋         | 131/1875 [00:01<00:22, 78.49it/s, v_num=5, train_loss=0.288, Acc%=95.60]
Epoch 1:   7%|▋         | 132/1875 [00:01<00:22, 78.50it/s, v_num=5, train_loss=0.288, Acc%=95.60]
Epoch 1:   7%|▋         | 132/1875 [00:01<00:22, 78.49it/s, v_num=5, train_loss=0.220, Acc%=95.60]
Epoch 1:   7%|▋         | 133/1875 [00:01<00:22, 78.50it/s, v_num=5, train_loss=0.220, Acc%=95.60]
Epoch 1:   7%|▋         | 133/1875 [00:01<00:22, 78.49it/s, v_num=5, train_loss=0.192, Acc%=95.60]
Epoch 1:   7%|▋         | 134/1875 [00:01<00:22, 78.50it/s, v_num=5, train_loss=0.192, Acc%=95.60]
Epoch 1:   7%|▋         | 134/1875 [00:01<00:22, 78.49it/s, v_num=5, train_loss=0.0437, Acc%=95.60]
Epoch 1:   7%|▋         | 135/1875 [00:01<00:22, 78.50it/s, v_num=5, train_loss=0.0437, Acc%=95.60]
Epoch 1:   7%|▋         | 135/1875 [00:01<00:22, 78.49it/s, v_num=5, train_loss=0.172, Acc%=95.60]
Epoch 1:   7%|▋         | 136/1875 [00:01<00:22, 78.50it/s, v_num=5, train_loss=0.172, Acc%=95.60]
Epoch 1:   7%|▋         | 136/1875 [00:01<00:22, 78.49it/s, v_num=5, train_loss=0.0487, Acc%=95.60]
Epoch 1:   7%|▋         | 137/1875 [00:01<00:22, 78.51it/s, v_num=5, train_loss=0.0487, Acc%=95.60]
Epoch 1:   7%|▋         | 137/1875 [00:01<00:22, 78.50it/s, v_num=5, train_loss=0.0549, Acc%=95.60]
Epoch 1:   7%|▋         | 138/1875 [00:01<00:22, 78.51it/s, v_num=5, train_loss=0.0549, Acc%=95.60]
Epoch 1:   7%|▋         | 138/1875 [00:01<00:22, 78.50it/s, v_num=5, train_loss=0.0826, Acc%=95.60]
Epoch 1:   7%|▋         | 139/1875 [00:01<00:22, 78.52it/s, v_num=5, train_loss=0.0826, Acc%=95.60]
Epoch 1:   7%|▋         | 139/1875 [00:01<00:22, 78.51it/s, v_num=5, train_loss=0.0712, Acc%=95.60]
Epoch 1:   7%|▋         | 140/1875 [00:01<00:22, 78.52it/s, v_num=5, train_loss=0.0712, Acc%=95.60]
Epoch 1:   7%|▋         | 140/1875 [00:01<00:22, 78.51it/s, v_num=5, train_loss=0.145, Acc%=95.60]
Epoch 1:   8%|▊         | 141/1875 [00:01<00:22, 78.52it/s, v_num=5, train_loss=0.145, Acc%=95.60]
Epoch 1:   8%|▊         | 141/1875 [00:01<00:22, 78.51it/s, v_num=5, train_loss=0.177, Acc%=95.60]
Epoch 1:   8%|▊         | 142/1875 [00:01<00:22, 78.52it/s, v_num=5, train_loss=0.177, Acc%=95.60]
Epoch 1:   8%|▊         | 142/1875 [00:01<00:22, 78.51it/s, v_num=5, train_loss=0.285, Acc%=95.60]
Epoch 1:   8%|▊         | 143/1875 [00:01<00:22, 78.53it/s, v_num=5, train_loss=0.285, Acc%=95.60]
Epoch 1:   8%|▊         | 143/1875 [00:01<00:22, 78.52it/s, v_num=5, train_loss=0.0951, Acc%=95.60]
Epoch 1:   8%|▊         | 144/1875 [00:01<00:22, 78.53it/s, v_num=5, train_loss=0.0951, Acc%=95.60]
Epoch 1:   8%|▊         | 144/1875 [00:01<00:22, 78.52it/s, v_num=5, train_loss=0.0323, Acc%=95.60]
Epoch 1:   8%|▊         | 145/1875 [00:01<00:22, 78.54it/s, v_num=5, train_loss=0.0323, Acc%=95.60]
Epoch 1:   8%|▊         | 145/1875 [00:01<00:22, 78.53it/s, v_num=5, train_loss=0.221, Acc%=95.60]
Epoch 1:   8%|▊         | 146/1875 [00:01<00:22, 78.54it/s, v_num=5, train_loss=0.221, Acc%=95.60]
Epoch 1:   8%|▊         | 146/1875 [00:01<00:22, 78.53it/s, v_num=5, train_loss=0.0944, Acc%=95.60]
Epoch 1:   8%|▊         | 147/1875 [00:01<00:22, 78.55it/s, v_num=5, train_loss=0.0944, Acc%=95.60]
Epoch 1:   8%|▊         | 147/1875 [00:01<00:22, 78.54it/s, v_num=5, train_loss=0.262, Acc%=95.60]
Epoch 1:   8%|▊         | 148/1875 [00:01<00:21, 78.55it/s, v_num=5, train_loss=0.262, Acc%=95.60]
Epoch 1:   8%|▊         | 148/1875 [00:01<00:21, 78.54it/s, v_num=5, train_loss=0.0887, Acc%=95.60]
Epoch 1:   8%|▊         | 149/1875 [00:01<00:21, 78.55it/s, v_num=5, train_loss=0.0887, Acc%=95.60]
Epoch 1:   8%|▊         | 149/1875 [00:01<00:21, 78.55it/s, v_num=5, train_loss=0.268, Acc%=95.60]
Epoch 1:   8%|▊         | 150/1875 [00:01<00:21, 78.56it/s, v_num=5, train_loss=0.268, Acc%=95.60]
Epoch 1:   8%|▊         | 150/1875 [00:01<00:21, 78.55it/s, v_num=5, train_loss=0.151, Acc%=95.60]
Epoch 1:   8%|▊         | 151/1875 [00:01<00:21, 78.56it/s, v_num=5, train_loss=0.151, Acc%=95.60]
Epoch 1:   8%|▊         | 151/1875 [00:01<00:21, 78.55it/s, v_num=5, train_loss=0.347, Acc%=95.60]
Epoch 1:   8%|▊         | 152/1875 [00:01<00:21, 78.57it/s, v_num=5, train_loss=0.347, Acc%=95.60]
Epoch 1:   8%|▊         | 152/1875 [00:01<00:21, 78.56it/s, v_num=5, train_loss=0.0698, Acc%=95.60]
Epoch 1:   8%|▊         | 153/1875 [00:01<00:21, 78.57it/s, v_num=5, train_loss=0.0698, Acc%=95.60]
Epoch 1:   8%|▊         | 153/1875 [00:01<00:21, 78.56it/s, v_num=5, train_loss=0.215, Acc%=95.60]
Epoch 1:   8%|▊         | 154/1875 [00:01<00:21, 78.57it/s, v_num=5, train_loss=0.215, Acc%=95.60]
Epoch 1:   8%|▊         | 154/1875 [00:01<00:21, 78.56it/s, v_num=5, train_loss=0.0925, Acc%=95.60]
Epoch 1:   8%|▊         | 155/1875 [00:01<00:21, 78.58it/s, v_num=5, train_loss=0.0925, Acc%=95.60]
Epoch 1:   8%|▊         | 155/1875 [00:01<00:21, 78.57it/s, v_num=5, train_loss=0.441, Acc%=95.60]
Epoch 1:   8%|▊         | 156/1875 [00:01<00:21, 78.58it/s, v_num=5, train_loss=0.441, Acc%=95.60]
Epoch 1:   8%|▊         | 156/1875 [00:01<00:21, 78.57it/s, v_num=5, train_loss=0.0398, Acc%=95.60]
Epoch 1:   8%|▊         | 157/1875 [00:01<00:21, 78.58it/s, v_num=5, train_loss=0.0398, Acc%=95.60]
Epoch 1:   8%|▊         | 157/1875 [00:01<00:21, 78.57it/s, v_num=5, train_loss=0.097, Acc%=95.60]
Epoch 1:   8%|▊         | 158/1875 [00:02<00:21, 78.58it/s, v_num=5, train_loss=0.097, Acc%=95.60]
Epoch 1:   8%|▊         | 158/1875 [00:02<00:21, 78.57it/s, v_num=5, train_loss=0.224, Acc%=95.60]
Epoch 1:   8%|▊         | 159/1875 [00:02<00:21, 78.58it/s, v_num=5, train_loss=0.224, Acc%=95.60]
Epoch 1:   8%|▊         | 159/1875 [00:02<00:21, 78.57it/s, v_num=5, train_loss=0.130, Acc%=95.60]
Epoch 1:   9%|▊         | 160/1875 [00:02<00:21, 78.57it/s, v_num=5, train_loss=0.130, Acc%=95.60]
Epoch 1:   9%|▊         | 160/1875 [00:02<00:21, 78.57it/s, v_num=5, train_loss=0.189, Acc%=95.60]
Epoch 1:   9%|▊         | 161/1875 [00:02<00:21, 78.57it/s, v_num=5, train_loss=0.189, Acc%=95.60]
Epoch 1:   9%|▊         | 161/1875 [00:02<00:21, 78.56it/s, v_num=5, train_loss=0.207, Acc%=95.60]
Epoch 1:   9%|▊         | 162/1875 [00:02<00:21, 78.57it/s, v_num=5, train_loss=0.207, Acc%=95.60]
Epoch 1:   9%|▊         | 162/1875 [00:02<00:21, 78.56it/s, v_num=5, train_loss=0.546, Acc%=95.60]
Epoch 1:   9%|▊         | 163/1875 [00:02<00:21, 78.57it/s, v_num=5, train_loss=0.546, Acc%=95.60]
Epoch 1:   9%|▊         | 163/1875 [00:02<00:21, 78.56it/s, v_num=5, train_loss=0.0568, Acc%=95.60]
Epoch 1:   9%|▊         | 164/1875 [00:02<00:21, 78.57it/s, v_num=5, train_loss=0.0568, Acc%=95.60]
Epoch 1:   9%|▊         | 164/1875 [00:02<00:21, 78.56it/s, v_num=5, train_loss=0.0441, Acc%=95.60]
Epoch 1:   9%|▉         | 165/1875 [00:02<00:21, 78.55it/s, v_num=5, train_loss=0.0441, Acc%=95.60]
Epoch 1:   9%|▉         | 165/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.0881, Acc%=95.60]
Epoch 1:   9%|▉         | 166/1875 [00:02<00:21, 78.55it/s, v_num=5, train_loss=0.0881, Acc%=95.60]
Epoch 1:   9%|▉         | 166/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.0817, Acc%=95.60]
Epoch 1:   9%|▉         | 167/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.0817, Acc%=95.60]
Epoch 1:   9%|▉         | 167/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.0901, Acc%=95.60]
Epoch 1:   9%|▉         | 168/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.0901, Acc%=95.60]
Epoch 1:   9%|▉         | 168/1875 [00:02<00:21, 78.53it/s, v_num=5, train_loss=0.448, Acc%=95.60]
Epoch 1:   9%|▉         | 169/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.448, Acc%=95.60]
Epoch 1:   9%|▉         | 169/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.445, Acc%=95.60]
Epoch 1:   9%|▉         | 170/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.445, Acc%=95.60]
Epoch 1:   9%|▉         | 170/1875 [00:02<00:21, 78.53it/s, v_num=5, train_loss=0.103, Acc%=95.60]
Epoch 1:   9%|▉         | 171/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.103, Acc%=95.60]
Epoch 1:   9%|▉         | 171/1875 [00:02<00:21, 78.53it/s, v_num=5, train_loss=0.178, Acc%=95.60]
Epoch 1:   9%|▉         | 172/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.178, Acc%=95.60]
Epoch 1:   9%|▉         | 172/1875 [00:02<00:21, 78.53it/s, v_num=5, train_loss=0.240, Acc%=95.60]
Epoch 1:   9%|▉         | 173/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.240, Acc%=95.60]
Epoch 1:   9%|▉         | 173/1875 [00:02<00:21, 78.53it/s, v_num=5, train_loss=0.0681, Acc%=95.60]
Epoch 1:   9%|▉         | 174/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.0681, Acc%=95.60]
Epoch 1:   9%|▉         | 174/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.231, Acc%=95.60]
Epoch 1:   9%|▉         | 175/1875 [00:02<00:21, 78.55it/s, v_num=5, train_loss=0.231, Acc%=95.60]
Epoch 1:   9%|▉         | 175/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.365, Acc%=95.60]
Epoch 1:   9%|▉         | 176/1875 [00:02<00:21, 78.53it/s, v_num=5, train_loss=0.365, Acc%=95.60]
Epoch 1:   9%|▉         | 176/1875 [00:02<00:21, 78.53it/s, v_num=5, train_loss=0.176, Acc%=95.60]
Epoch 1:   9%|▉         | 177/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.176, Acc%=95.60]
Epoch 1:   9%|▉         | 177/1875 [00:02<00:21, 78.53it/s, v_num=5, train_loss=0.0741, Acc%=95.60]
Epoch 1:   9%|▉         | 178/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.0741, Acc%=95.60]
Epoch 1:   9%|▉         | 178/1875 [00:02<00:21, 78.53it/s, v_num=5, train_loss=0.360, Acc%=95.60]
Epoch 1:  10%|▉         | 179/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.360, Acc%=95.60]
Epoch 1:  10%|▉         | 179/1875 [00:02<00:21, 78.53it/s, v_num=5, train_loss=0.106, Acc%=95.60]
Epoch 1:  10%|▉         | 180/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.106, Acc%=95.60]
Epoch 1:  10%|▉         | 180/1875 [00:02<00:21, 78.53it/s, v_num=5, train_loss=0.0652, Acc%=95.60]
Epoch 1:  10%|▉         | 181/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.0652, Acc%=95.60]
Epoch 1:  10%|▉         | 181/1875 [00:02<00:21, 78.53it/s, v_num=5, train_loss=0.0916, Acc%=95.60]
Epoch 1:  10%|▉         | 182/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.0916, Acc%=95.60]
Epoch 1:  10%|▉         | 182/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.0741, Acc%=95.60]
Epoch 1:  10%|▉         | 183/1875 [00:02<00:21, 78.55it/s, v_num=5, train_loss=0.0741, Acc%=95.60]
Epoch 1:  10%|▉         | 183/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.270, Acc%=95.60]
Epoch 1:  10%|▉         | 184/1875 [00:02<00:21, 78.55it/s, v_num=5, train_loss=0.270, Acc%=95.60]
Epoch 1:  10%|▉         | 184/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.279, Acc%=95.60]
Epoch 1:  10%|▉         | 185/1875 [00:02<00:21, 78.55it/s, v_num=5, train_loss=0.279, Acc%=95.60]
Epoch 1:  10%|▉         | 185/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.201, Acc%=95.60]
Epoch 1:  10%|▉         | 186/1875 [00:02<00:21, 78.55it/s, v_num=5, train_loss=0.201, Acc%=95.60]
Epoch 1:  10%|▉         | 186/1875 [00:02<00:21, 78.55it/s, v_num=5, train_loss=0.133, Acc%=95.60]
Epoch 1:  10%|▉         | 187/1875 [00:02<00:21, 78.56it/s, v_num=5, train_loss=0.133, Acc%=95.60]
Epoch 1:  10%|▉         | 187/1875 [00:02<00:21, 78.55it/s, v_num=5, train_loss=0.404, Acc%=95.60]
Epoch 1:  10%|█         | 188/1875 [00:02<00:21, 78.56it/s, v_num=5, train_loss=0.404, Acc%=95.60]
Epoch 1:  10%|█         | 188/1875 [00:02<00:21, 78.55it/s, v_num=5, train_loss=0.111, Acc%=95.60]
Epoch 1:  10%|█         | 189/1875 [00:02<00:21, 78.56it/s, v_num=5, train_loss=0.111, Acc%=95.60]
Epoch 1:  10%|█         | 189/1875 [00:02<00:21, 78.55it/s, v_num=5, train_loss=0.441, Acc%=95.60]
Epoch 1:  10%|█         | 190/1875 [00:02<00:21, 78.56it/s, v_num=5, train_loss=0.441, Acc%=95.60]
Epoch 1:  10%|█         | 190/1875 [00:02<00:21, 78.55it/s, v_num=5, train_loss=0.292, Acc%=95.60]
Epoch 1:  10%|█         | 191/1875 [00:02<00:21, 78.57it/s, v_num=5, train_loss=0.292, Acc%=95.60]
Epoch 1:  10%|█         | 191/1875 [00:02<00:21, 78.56it/s, v_num=5, train_loss=0.0822, Acc%=95.60]
Epoch 1:  10%|█         | 192/1875 [00:02<00:21, 78.57it/s, v_num=5, train_loss=0.0822, Acc%=95.60]
Epoch 1:  10%|█         | 192/1875 [00:02<00:21, 78.56it/s, v_num=5, train_loss=0.046, Acc%=95.60]
Epoch 1:  10%|█         | 193/1875 [00:02<00:21, 78.56it/s, v_num=5, train_loss=0.046, Acc%=95.60]
Epoch 1:  10%|█         | 193/1875 [00:02<00:21, 78.55it/s, v_num=5, train_loss=0.0933, Acc%=95.60]
Epoch 1:  10%|█         | 194/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.0933, Acc%=95.60]
Epoch 1:  10%|█         | 194/1875 [00:02<00:21, 78.53it/s, v_num=5, train_loss=0.263, Acc%=95.60]
Epoch 1:  10%|█         | 195/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.263, Acc%=95.60]
Epoch 1:  10%|█         | 195/1875 [00:02<00:21, 78.53it/s, v_num=5, train_loss=0.212, Acc%=95.60]
Epoch 1:  10%|█         | 196/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.212, Acc%=95.60]
Epoch 1:  10%|█         | 196/1875 [00:02<00:21, 78.53it/s, v_num=5, train_loss=0.114, Acc%=95.60]
Epoch 1:  11%|█         | 197/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.114, Acc%=95.60]
Epoch 1:  11%|█         | 197/1875 [00:02<00:21, 78.53it/s, v_num=5, train_loss=0.116, Acc%=95.60]
Epoch 1:  11%|█         | 198/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.116, Acc%=95.60]
Epoch 1:  11%|█         | 198/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.341, Acc%=95.60]
Epoch 1:  11%|█         | 199/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.341, Acc%=95.60]
Epoch 1:  11%|█         | 199/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.399, Acc%=95.60]
Epoch 1:  11%|█         | 200/1875 [00:02<00:21, 78.55it/s, v_num=5, train_loss=0.399, Acc%=95.60]
Epoch 1:  11%|█         | 200/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.0472, Acc%=95.60]
Epoch 1:  11%|█         | 201/1875 [00:02<00:21, 78.54it/s, v_num=5, train_loss=0.0472, Acc%=95.60]
Epoch 1:  11%|█         | 201/1875 [00:02<00:21, 78.53it/s, v_num=5, train_loss=0.100, Acc%=95.60]
Epoch 1:  11%|█         | 202/1875 [00:02<00:21, 78.52it/s, v_num=5, train_loss=0.100, Acc%=95.60]
Epoch 1:  11%|█         | 202/1875 [00:02<00:21, 78.51it/s, v_num=5, train_loss=0.146, Acc%=95.60]
Epoch 1:  11%|█         | 203/1875 [00:02<00:21, 78.52it/s, v_num=5, train_loss=0.146, Acc%=95.60]
Epoch 1:  11%|█         | 203/1875 [00:02<00:21, 78.51it/s, v_num=5, train_loss=0.121, Acc%=95.60]
Epoch 1:  11%|█         | 204/1875 [00:02<00:21, 78.52it/s, v_num=5, train_loss=0.121, Acc%=95.60]
Epoch 1:  11%|█         | 204/1875 [00:02<00:21, 78.51it/s, v_num=5, train_loss=0.0383, Acc%=95.60]
Epoch 1:  11%|█         | 205/1875 [00:02<00:21, 78.52it/s, v_num=5, train_loss=0.0383, Acc%=95.60]
Epoch 1:  11%|█         | 205/1875 [00:02<00:21, 78.51it/s, v_num=5, train_loss=0.358, Acc%=95.60]
Epoch 1:  11%|█         | 206/1875 [00:02<00:21, 78.52it/s, v_num=5, train_loss=0.358, Acc%=95.60]
Epoch 1:  11%|█         | 206/1875 [00:02<00:21, 78.51it/s, v_num=5, train_loss=0.463, Acc%=95.60]
Epoch 1:  11%|█         | 207/1875 [00:02<00:21, 78.52it/s, v_num=5, train_loss=0.463, Acc%=95.60]
Epoch 1:  11%|█         | 207/1875 [00:02<00:21, 78.51it/s, v_num=5, train_loss=0.488, Acc%=95.60]
Epoch 1:  11%|█         | 208/1875 [00:02<00:21, 78.52it/s, v_num=5, train_loss=0.488, Acc%=95.60]
Epoch 1:  11%|█         | 208/1875 [00:02<00:21, 78.51it/s, v_num=5, train_loss=0.294, Acc%=95.60]
Epoch 1:  11%|█         | 209/1875 [00:02<00:21, 78.51it/s, v_num=5, train_loss=0.294, Acc%=95.60]
Epoch 1:  11%|█         | 209/1875 [00:02<00:21, 78.51it/s, v_num=5, train_loss=0.199, Acc%=95.60]
Epoch 1:  11%|█         | 210/1875 [00:02<00:21, 78.52it/s, v_num=5, train_loss=0.199, Acc%=95.60]
Epoch 1:  11%|█         | 210/1875 [00:02<00:21, 78.51it/s, v_num=5, train_loss=0.0548, Acc%=95.60]
Epoch 1:  11%|█▏        | 211/1875 [00:02<00:21, 78.52it/s, v_num=5, train_loss=0.0548, Acc%=95.60]
Epoch 1:  11%|█▏        | 211/1875 [00:02<00:21, 78.51it/s, v_num=5, train_loss=0.120, Acc%=95.60]
Epoch 1:  11%|█▏        | 212/1875 [00:02<00:21, 78.52it/s, v_num=5, train_loss=0.120, Acc%=95.60]
Epoch 1:  11%|█▏        | 212/1875 [00:02<00:21, 78.51it/s, v_num=5, train_loss=0.335, Acc%=95.60]
Epoch 1:  11%|█▏        | 213/1875 [00:02<00:21, 78.52it/s, v_num=5, train_loss=0.335, Acc%=95.60]
Epoch 1:  11%|█▏        | 213/1875 [00:02<00:21, 78.52it/s, v_num=5, train_loss=0.251, Acc%=95.60]
Epoch 1:  11%|█▏        | 214/1875 [00:02<00:21, 78.52it/s, v_num=5, train_loss=0.251, Acc%=95.60]
Epoch 1:  11%|█▏        | 214/1875 [00:02<00:21, 78.51it/s, v_num=5, train_loss=0.0975, Acc%=95.60]
Epoch 1:  11%|█▏        | 215/1875 [00:02<00:21, 78.51it/s, v_num=5, train_loss=0.0975, Acc%=95.60]
Epoch 1:  11%|█▏        | 215/1875 [00:02<00:21, 78.50it/s, v_num=5, train_loss=0.0819, Acc%=95.60]
Epoch 1:  12%|█▏        | 216/1875 [00:02<00:21, 78.51it/s, v_num=5, train_loss=0.0819, Acc%=95.60]
Epoch 1:  12%|█▏        | 216/1875 [00:02<00:21, 78.50it/s, v_num=5, train_loss=0.0555, Acc%=95.60]
Epoch 1:  12%|█▏        | 217/1875 [00:02<00:21, 78.51it/s, v_num=5, train_loss=0.0555, Acc%=95.60]
Epoch 1:  12%|█▏        | 217/1875 [00:02<00:21, 78.50it/s, v_num=5, train_loss=0.110, Acc%=95.60]
Epoch 1:  12%|█▏        | 218/1875 [00:02<00:21, 78.51it/s, v_num=5, train_loss=0.110, Acc%=95.60]
Epoch 1:  12%|█▏        | 218/1875 [00:02<00:21, 78.51it/s, v_num=5, train_loss=0.0327, Acc%=95.60]
Epoch 1:  12%|█▏        | 219/1875 [00:02<00:21, 78.51it/s, v_num=5, train_loss=0.0327, Acc%=95.60]
Epoch 1:  12%|█▏        | 219/1875 [00:02<00:21, 78.50it/s, v_num=5, train_loss=0.0888, Acc%=95.60]
Epoch 1:  12%|█▏        | 220/1875 [00:02<00:21, 78.51it/s, v_num=5, train_loss=0.0888, Acc%=95.60]
Epoch 1:  12%|█▏        | 220/1875 [00:02<00:21, 78.51it/s, v_num=5, train_loss=0.118, Acc%=95.60]
Epoch 1:  12%|█▏        | 221/1875 [00:02<00:21, 78.51it/s, v_num=5, train_loss=0.118, Acc%=95.60]
Epoch 1:  12%|█▏        | 221/1875 [00:02<00:21, 78.50it/s, v_num=5, train_loss=0.185, Acc%=95.60]
Epoch 1:  12%|█▏        | 222/1875 [00:02<00:21, 78.51it/s, v_num=5, train_loss=0.185, Acc%=95.60]
Epoch 1:  12%|█▏        | 222/1875 [00:02<00:21, 78.50it/s, v_num=5, train_loss=0.253, Acc%=95.60]
Epoch 1:  12%|█▏        | 223/1875 [00:02<00:21, 78.51it/s, v_num=5, train_loss=0.253, Acc%=95.60]
Epoch 1:  12%|█▏        | 223/1875 [00:02<00:21, 78.51it/s, v_num=5, train_loss=0.241, Acc%=95.60]
Epoch 1:  12%|█▏        | 224/1875 [00:02<00:21, 78.52it/s, v_num=5, train_loss=0.241, Acc%=95.60]
Epoch 1:  12%|█▏        | 224/1875 [00:02<00:21, 78.51it/s, v_num=5, train_loss=0.459, Acc%=95.60]
Epoch 1:  12%|█▏        | 225/1875 [00:02<00:21, 78.51it/s, v_num=5, train_loss=0.459, Acc%=95.60]
Epoch 1:  12%|█▏        | 225/1875 [00:02<00:21, 78.51it/s, v_num=5, train_loss=0.474, Acc%=95.60]
Epoch 1:  12%|█▏        | 226/1875 [00:02<00:21, 78.50it/s, v_num=5, train_loss=0.474, Acc%=95.60]
Epoch 1:  12%|█▏        | 226/1875 [00:02<00:21, 78.50it/s, v_num=5, train_loss=0.264, Acc%=95.60]
Epoch 1:  12%|█▏        | 227/1875 [00:02<00:20, 78.51it/s, v_num=5, train_loss=0.264, Acc%=95.60]
Epoch 1:  12%|█▏        | 227/1875 [00:02<00:20, 78.50it/s, v_num=5, train_loss=0.147, Acc%=95.60]
Epoch 1:  12%|█▏        | 228/1875 [00:02<00:20, 78.51it/s, v_num=5, train_loss=0.147, Acc%=95.60]
Epoch 1:  12%|█▏        | 228/1875 [00:02<00:20, 78.50it/s, v_num=5, train_loss=0.151, Acc%=95.60]
Epoch 1:  12%|█▏        | 229/1875 [00:02<00:20, 78.51it/s, v_num=5, train_loss=0.151, Acc%=95.60]
Epoch 1:  12%|█▏        | 229/1875 [00:02<00:20, 78.50it/s, v_num=5, train_loss=0.265, Acc%=95.60]
Epoch 1:  12%|█▏        | 230/1875 [00:02<00:20, 78.51it/s, v_num=5, train_loss=0.265, Acc%=95.60]
Epoch 1:  12%|█▏        | 230/1875 [00:02<00:20, 78.51it/s, v_num=5, train_loss=0.100, Acc%=95.60]
Epoch 1:  12%|█▏        | 231/1875 [00:02<00:20, 78.51it/s, v_num=5, train_loss=0.100, Acc%=95.60]
Epoch 1:  12%|█▏        | 231/1875 [00:02<00:20, 78.51it/s, v_num=5, train_loss=0.0668, Acc%=95.60]
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Epoch 1:  12%|█▏        | 234/1875 [00:02<00:20, 78.52it/s, v_num=5, train_loss=0.242, Acc%=95.60]
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Epoch 1:  13%|█▎        | 235/1875 [00:02<00:20, 78.52it/s, v_num=5, train_loss=0.022, Acc%=95.60]
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Epoch 1:  13%|█▎        | 236/1875 [00:03<00:20, 78.52it/s, v_num=5, train_loss=0.0441, Acc%=95.60]
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Epoch 1:  13%|█▎        | 237/1875 [00:03<00:20, 78.52it/s, v_num=5, train_loss=0.122, Acc%=95.60]
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Epoch 1:  14%|█▎        | 255/1875 [00:03<00:20, 78.55it/s, v_num=5, train_loss=0.115, Acc%=95.60]
Epoch 1:  14%|█▎        | 255/1875 [00:03<00:20, 78.54it/s, v_num=5, train_loss=0.145, Acc%=95.60]
Epoch 1:  14%|█▎        | 256/1875 [00:03<00:20, 78.55it/s, v_num=5, train_loss=0.145, Acc%=95.60]
Epoch 1:  14%|█▎        | 256/1875 [00:03<00:20, 78.55it/s, v_num=5, train_loss=0.096, Acc%=95.60]
Epoch 1:  14%|█▎        | 257/1875 [00:03<00:20, 78.55it/s, v_num=5, train_loss=0.096, Acc%=95.60]
Epoch 1:  14%|█▎        | 257/1875 [00:03<00:20, 78.54it/s, v_num=5, train_loss=0.109, Acc%=95.60]
Epoch 1:  14%|█▍        | 258/1875 [00:03<00:20, 78.55it/s, v_num=5, train_loss=0.109, Acc%=95.60]
Epoch 1:  14%|█▍        | 258/1875 [00:03<00:20, 78.55it/s, v_num=5, train_loss=0.211, Acc%=95.60]
Epoch 1:  14%|█▍        | 259/1875 [00:03<00:20, 78.55it/s, v_num=5, train_loss=0.211, Acc%=95.60]
Epoch 1:  14%|█▍        | 259/1875 [00:03<00:20, 78.55it/s, v_num=5, train_loss=0.190, Acc%=95.60]
Epoch 1:  14%|█▍        | 260/1875 [00:03<00:20, 78.56it/s, v_num=5, train_loss=0.190, Acc%=95.60]
Epoch 1:  14%|█▍        | 260/1875 [00:03<00:20, 78.55it/s, v_num=5, train_loss=0.118, Acc%=95.60]
Epoch 1:  14%|█▍        | 261/1875 [00:03<00:20, 78.56it/s, v_num=5, train_loss=0.118, Acc%=95.60]
Epoch 1:  14%|█▍        | 261/1875 [00:03<00:20, 78.55it/s, v_num=5, train_loss=0.0618, Acc%=95.60]
Epoch 1:  14%|█▍        | 262/1875 [00:03<00:20, 78.56it/s, v_num=5, train_loss=0.0618, Acc%=95.60]
Epoch 1:  14%|█▍        | 262/1875 [00:03<00:20, 78.55it/s, v_num=5, train_loss=0.189, Acc%=95.60]
Epoch 1:  14%|█▍        | 263/1875 [00:03<00:20, 78.56it/s, v_num=5, train_loss=0.189, Acc%=95.60]
Epoch 1:  14%|█▍        | 263/1875 [00:03<00:20, 78.56it/s, v_num=5, train_loss=0.159, Acc%=95.60]
Epoch 1:  14%|█▍        | 264/1875 [00:03<00:20, 78.56it/s, v_num=5, train_loss=0.159, Acc%=95.60]
Epoch 1:  14%|█▍        | 264/1875 [00:03<00:20, 78.56it/s, v_num=5, train_loss=0.191, Acc%=95.60]
Epoch 1:  14%|█▍        | 265/1875 [00:03<00:20, 78.57it/s, v_num=5, train_loss=0.191, Acc%=95.60]
Epoch 1:  14%|█▍        | 265/1875 [00:03<00:20, 78.56it/s, v_num=5, train_loss=0.357, Acc%=95.60]
Epoch 1:  14%|█▍        | 266/1875 [00:03<00:20, 78.57it/s, v_num=5, train_loss=0.357, Acc%=95.60]
Epoch 1:  14%|█▍        | 266/1875 [00:03<00:20, 78.56it/s, v_num=5, train_loss=0.0415, Acc%=95.60]
Epoch 1:  14%|█▍        | 267/1875 [00:03<00:20, 78.57it/s, v_num=5, train_loss=0.0415, Acc%=95.60]
Epoch 1:  14%|█▍        | 267/1875 [00:03<00:20, 78.56it/s, v_num=5, train_loss=0.147, Acc%=95.60]
Epoch 1:  14%|█▍        | 268/1875 [00:03<00:20, 78.57it/s, v_num=5, train_loss=0.147, Acc%=95.60]
Epoch 1:  14%|█▍        | 268/1875 [00:03<00:20, 78.57it/s, v_num=5, train_loss=0.134, Acc%=95.60]
Epoch 1:  14%|█▍        | 269/1875 [00:03<00:20, 78.57it/s, v_num=5, train_loss=0.134, Acc%=95.60]
Epoch 1:  14%|█▍        | 269/1875 [00:03<00:20, 78.57it/s, v_num=5, train_loss=0.107, Acc%=95.60]
Epoch 1:  14%|█▍        | 270/1875 [00:03<00:20, 78.57it/s, v_num=5, train_loss=0.107, Acc%=95.60]
Epoch 1:  14%|█▍        | 270/1875 [00:03<00:20, 78.57it/s, v_num=5, train_loss=0.305, Acc%=95.60]
Epoch 1:  14%|█▍        | 271/1875 [00:03<00:20, 78.57it/s, v_num=5, train_loss=0.305, Acc%=95.60]
Epoch 1:  14%|█▍        | 271/1875 [00:03<00:20, 78.57it/s, v_num=5, train_loss=0.374, Acc%=95.60]
Epoch 1:  15%|█▍        | 272/1875 [00:03<00:20, 78.57it/s, v_num=5, train_loss=0.374, Acc%=95.60]
Epoch 1:  15%|█▍        | 272/1875 [00:03<00:20, 78.57it/s, v_num=5, train_loss=0.0596, Acc%=95.60]
Epoch 1:  15%|█▍        | 273/1875 [00:03<00:20, 78.57it/s, v_num=5, train_loss=0.0596, Acc%=95.60]
Epoch 1:  15%|█▍        | 273/1875 [00:03<00:20, 78.57it/s, v_num=5, train_loss=0.258, Acc%=95.60]
Epoch 1:  15%|█▍        | 274/1875 [00:03<00:20, 78.57it/s, v_num=5, train_loss=0.258, Acc%=95.60]
Epoch 1:  15%|█▍        | 274/1875 [00:03<00:20, 78.57it/s, v_num=5, train_loss=0.557, Acc%=95.60]
Epoch 1:  15%|█▍        | 275/1875 [00:03<00:20, 78.58it/s, v_num=5, train_loss=0.557, Acc%=95.60]
Epoch 1:  15%|█▍        | 275/1875 [00:03<00:20, 78.57it/s, v_num=5, train_loss=0.217, Acc%=95.60]
Epoch 1:  15%|█▍        | 276/1875 [00:03<00:20, 78.56it/s, v_num=5, train_loss=0.217, Acc%=95.60]
Epoch 1:  15%|█▍        | 276/1875 [00:03<00:20, 78.56it/s, v_num=5, train_loss=0.143, Acc%=95.60]
Epoch 1:  15%|█▍        | 277/1875 [00:03<00:20, 78.56it/s, v_num=5, train_loss=0.143, Acc%=95.60]
Epoch 1:  15%|█▍        | 277/1875 [00:03<00:20, 78.56it/s, v_num=5, train_loss=0.113, Acc%=95.60]
Epoch 1:  15%|█▍        | 278/1875 [00:03<00:20, 78.57it/s, v_num=5, train_loss=0.113, Acc%=95.60]
Epoch 1:  15%|█▍        | 278/1875 [00:03<00:20, 78.56it/s, v_num=5, train_loss=0.0315, Acc%=95.60]
Epoch 1:  15%|█▍        | 279/1875 [00:03<00:20, 78.57it/s, v_num=5, train_loss=0.0315, Acc%=95.60]
Epoch 1:  15%|█▍        | 279/1875 [00:03<00:20, 78.56it/s, v_num=5, train_loss=0.191, Acc%=95.60]
Epoch 1:  15%|█▍        | 280/1875 [00:03<00:20, 78.57it/s, v_num=5, train_loss=0.191, Acc%=95.60]
Epoch 1:  15%|█▍        | 280/1875 [00:03<00:20, 78.56it/s, v_num=5, train_loss=0.267, Acc%=95.60]
Epoch 1:  15%|█▍        | 281/1875 [00:03<00:20, 78.54it/s, v_num=5, train_loss=0.267, Acc%=95.60]
Epoch 1:  15%|█▍        | 281/1875 [00:03<00:20, 78.53it/s, v_num=5, train_loss=0.191, Acc%=95.60]
Epoch 1:  15%|█▌        | 282/1875 [00:03<00:20, 78.54it/s, v_num=5, train_loss=0.191, Acc%=95.60]
Epoch 1:  15%|█▌        | 282/1875 [00:03<00:20, 78.53it/s, v_num=5, train_loss=0.248, Acc%=95.60]
Epoch 1:  15%|█▌        | 283/1875 [00:03<00:20, 78.53it/s, v_num=5, train_loss=0.248, Acc%=95.60]
Epoch 1:  15%|█▌        | 283/1875 [00:03<00:20, 78.53it/s, v_num=5, train_loss=0.267, Acc%=95.60]
Epoch 1:  15%|█▌        | 284/1875 [00:03<00:20, 78.53it/s, v_num=5, train_loss=0.267, Acc%=95.60]
Epoch 1:  15%|█▌        | 284/1875 [00:03<00:20, 78.53it/s, v_num=5, train_loss=0.0148, Acc%=95.60]
Epoch 1:  15%|█▌        | 285/1875 [00:03<00:20, 78.54it/s, v_num=5, train_loss=0.0148, Acc%=95.60]
Epoch 1:  15%|█▌        | 285/1875 [00:03<00:20, 78.53it/s, v_num=5, train_loss=0.197, Acc%=95.60]
Epoch 1:  15%|█▌        | 286/1875 [00:03<00:20, 78.54it/s, v_num=5, train_loss=0.197, Acc%=95.60]
Epoch 1:  15%|█▌        | 286/1875 [00:03<00:20, 78.53it/s, v_num=5, train_loss=0.352, Acc%=95.60]
Epoch 1:  15%|█▌        | 287/1875 [00:03<00:20, 78.54it/s, v_num=5, train_loss=0.352, Acc%=95.60]
Epoch 1:  15%|█▌        | 287/1875 [00:03<00:20, 78.53it/s, v_num=5, train_loss=0.172, Acc%=95.60]
Epoch 1:  15%|█▌        | 288/1875 [00:03<00:20, 78.53it/s, v_num=5, train_loss=0.172, Acc%=95.60]
Epoch 1:  15%|█▌        | 288/1875 [00:03<00:20, 78.53it/s, v_num=5, train_loss=0.172, Acc%=95.60]
Epoch 1:  15%|█▌        | 289/1875 [00:03<00:20, 78.53it/s, v_num=5, train_loss=0.172, Acc%=95.60]
Epoch 1:  15%|█▌        | 289/1875 [00:03<00:20, 78.53it/s, v_num=5, train_loss=0.0806, Acc%=95.60]
Epoch 1:  15%|█▌        | 290/1875 [00:03<00:20, 78.54it/s, v_num=5, train_loss=0.0806, Acc%=95.60]
Epoch 1:  15%|█▌        | 290/1875 [00:03<00:20, 78.53it/s, v_num=5, train_loss=0.0607, Acc%=95.60]
Epoch 1:  16%|█▌        | 291/1875 [00:03<00:20, 78.54it/s, v_num=5, train_loss=0.0607, Acc%=95.60]
Epoch 1:  16%|█▌        | 291/1875 [00:03<00:20, 78.53it/s, v_num=5, train_loss=0.0632, Acc%=95.60]
Epoch 1:  16%|█▌        | 292/1875 [00:03<00:20, 78.54it/s, v_num=5, train_loss=0.0632, Acc%=95.60]
Epoch 1:  16%|█▌        | 292/1875 [00:03<00:20, 78.53it/s, v_num=5, train_loss=0.0366, Acc%=95.60]
Epoch 1:  16%|█▌        | 293/1875 [00:03<00:20, 78.54it/s, v_num=5, train_loss=0.0366, Acc%=95.60]
Epoch 1:  16%|█▌        | 293/1875 [00:03<00:20, 78.54it/s, v_num=5, train_loss=0.0956, Acc%=95.60]
Epoch 1:  16%|█▌        | 294/1875 [00:03<00:20, 78.54it/s, v_num=5, train_loss=0.0956, Acc%=95.60]
Epoch 1:  16%|█▌        | 294/1875 [00:03<00:20, 78.54it/s, v_num=5, train_loss=0.282, Acc%=95.60]
Epoch 1:  16%|█▌        | 295/1875 [00:03<00:20, 78.55it/s, v_num=5, train_loss=0.282, Acc%=95.60]
Epoch 1:  16%|█▌        | 295/1875 [00:03<00:20, 78.54it/s, v_num=5, train_loss=0.263, Acc%=95.60]
Epoch 1:  16%|█▌        | 296/1875 [00:03<00:20, 78.55it/s, v_num=5, train_loss=0.263, Acc%=95.60]
Epoch 1:  16%|█▌        | 296/1875 [00:03<00:20, 78.54it/s, v_num=5, train_loss=0.0624, Acc%=95.60]
Epoch 1:  16%|█▌        | 297/1875 [00:03<00:20, 78.55it/s, v_num=5, train_loss=0.0624, Acc%=95.60]
Epoch 1:  16%|█▌        | 297/1875 [00:03<00:20, 78.54it/s, v_num=5, train_loss=0.261, Acc%=95.60]
Epoch 1:  16%|█▌        | 298/1875 [00:03<00:20, 78.55it/s, v_num=5, train_loss=0.261, Acc%=95.60]
Epoch 1:  16%|█▌        | 298/1875 [00:03<00:20, 78.55it/s, v_num=5, train_loss=0.179, Acc%=95.60]
Epoch 1:  16%|█▌        | 299/1875 [00:03<00:20, 78.55it/s, v_num=5, train_loss=0.179, Acc%=95.60]
Epoch 1:  16%|█▌        | 299/1875 [00:03<00:20, 78.55it/s, v_num=5, train_loss=0.104, Acc%=95.60]
Epoch 1:  16%|█▌        | 300/1875 [00:03<00:20, 78.55it/s, v_num=5, train_loss=0.104, Acc%=95.60]
Epoch 1:  16%|█▌        | 300/1875 [00:03<00:20, 78.55it/s, v_num=5, train_loss=0.119, Acc%=95.60]
Epoch 1:  16%|█▌        | 301/1875 [00:03<00:20, 78.56it/s, v_num=5, train_loss=0.119, Acc%=95.60]
Epoch 1:  16%|█▌        | 301/1875 [00:03<00:20, 78.55it/s, v_num=5, train_loss=0.262, Acc%=95.60]
Epoch 1:  16%|█▌        | 302/1875 [00:03<00:20, 78.56it/s, v_num=5, train_loss=0.262, Acc%=95.60]
Epoch 1:  16%|█▌        | 302/1875 [00:03<00:20, 78.55it/s, v_num=5, train_loss=0.200, Acc%=95.60]
Epoch 1:  16%|█▌        | 303/1875 [00:03<00:20, 78.56it/s, v_num=5, train_loss=0.200, Acc%=95.60]
Epoch 1:  16%|█▌        | 303/1875 [00:03<00:20, 78.56it/s, v_num=5, train_loss=0.0995, Acc%=95.60]
Epoch 1:  16%|█▌        | 304/1875 [00:03<00:19, 78.56it/s, v_num=5, train_loss=0.0995, Acc%=95.60]
Epoch 1:  16%|█▌        | 304/1875 [00:03<00:19, 78.56it/s, v_num=5, train_loss=0.0876, Acc%=95.60]
Epoch 1:  16%|█▋        | 305/1875 [00:03<00:19, 78.56it/s, v_num=5, train_loss=0.0876, Acc%=95.60]
Epoch 1:  16%|█▋        | 305/1875 [00:03<00:19, 78.56it/s, v_num=5, train_loss=0.313, Acc%=95.60]
Epoch 1:  16%|█▋        | 306/1875 [00:03<00:19, 78.56it/s, v_num=5, train_loss=0.313, Acc%=95.60]
Epoch 1:  16%|█▋        | 306/1875 [00:03<00:19, 78.56it/s, v_num=5, train_loss=0.179, Acc%=95.60]
Epoch 1:  16%|█▋        | 307/1875 [00:03<00:19, 78.55it/s, v_num=5, train_loss=0.179, Acc%=95.60]
Epoch 1:  16%|█▋        | 307/1875 [00:03<00:19, 78.55it/s, v_num=5, train_loss=0.0863, Acc%=95.60]
Epoch 1:  16%|█▋        | 308/1875 [00:03<00:19, 78.54it/s, v_num=5, train_loss=0.0863, Acc%=95.60]
Epoch 1:  16%|█▋        | 308/1875 [00:03<00:19, 78.53it/s, v_num=5, train_loss=0.0544, Acc%=95.60]
Epoch 1:  16%|█▋        | 309/1875 [00:03<00:19, 78.53it/s, v_num=5, train_loss=0.0544, Acc%=95.60]
Epoch 1:  16%|█▋        | 309/1875 [00:03<00:19, 78.52it/s, v_num=5, train_loss=0.437, Acc%=95.60]
Epoch 1:  17%|█▋        | 310/1875 [00:03<00:19, 78.52it/s, v_num=5, train_loss=0.437, Acc%=95.60]
Epoch 1:  17%|█▋        | 310/1875 [00:03<00:19, 78.51it/s, v_num=5, train_loss=0.0748, Acc%=95.60]
Epoch 1:  17%|█▋        | 311/1875 [00:03<00:19, 78.51it/s, v_num=5, train_loss=0.0748, Acc%=95.60]
Epoch 1:  17%|█▋        | 311/1875 [00:03<00:19, 78.51it/s, v_num=5, train_loss=0.0435, Acc%=95.60]
Epoch 1:  17%|█▋        | 312/1875 [00:03<00:19, 78.51it/s, v_num=5, train_loss=0.0435, Acc%=95.60]
Epoch 1:  17%|█▋        | 312/1875 [00:03<00:19, 78.51it/s, v_num=5, train_loss=0.464, Acc%=95.60]
Epoch 1:  17%|█▋        | 313/1875 [00:03<00:19, 78.51it/s, v_num=5, train_loss=0.464, Acc%=95.60]
Epoch 1:  17%|█▋        | 313/1875 [00:03<00:19, 78.51it/s, v_num=5, train_loss=0.124, Acc%=95.60]
Epoch 1:  17%|█▋        | 314/1875 [00:03<00:19, 78.51it/s, v_num=5, train_loss=0.124, Acc%=95.60]
Epoch 1:  17%|█▋        | 314/1875 [00:03<00:19, 78.50it/s, v_num=5, train_loss=0.364, Acc%=95.60]
Epoch 1:  17%|█▋        | 315/1875 [00:04<00:19, 78.50it/s, v_num=5, train_loss=0.364, Acc%=95.60]
Epoch 1:  17%|█▋        | 315/1875 [00:04<00:19, 78.50it/s, v_num=5, train_loss=0.532, Acc%=95.60]
Epoch 1:  17%|█▋        | 316/1875 [00:04<00:19, 78.50it/s, v_num=5, train_loss=0.532, Acc%=95.60]
Epoch 1:  17%|█▋        | 316/1875 [00:04<00:19, 78.49it/s, v_num=5, train_loss=0.136, Acc%=95.60]
Epoch 1:  17%|█▋        | 317/1875 [00:04<00:19, 78.50it/s, v_num=5, train_loss=0.136, Acc%=95.60]
Epoch 1:  17%|█▋        | 317/1875 [00:04<00:19, 78.49it/s, v_num=5, train_loss=0.137, Acc%=95.60]
Epoch 1:  17%|█▋        | 318/1875 [00:04<00:19, 78.50it/s, v_num=5, train_loss=0.137, Acc%=95.60]
Epoch 1:  17%|█▋        | 318/1875 [00:04<00:19, 78.49it/s, v_num=5, train_loss=0.0547, Acc%=95.60]
Epoch 1:  17%|█▋        | 319/1875 [00:04<00:19, 78.50it/s, v_num=5, train_loss=0.0547, Acc%=95.60]
Epoch 1:  17%|█▋        | 319/1875 [00:04<00:19, 78.49it/s, v_num=5, train_loss=0.0921, Acc%=95.60]
Epoch 1:  17%|█▋        | 320/1875 [00:04<00:19, 78.50it/s, v_num=5, train_loss=0.0921, Acc%=95.60]
Epoch 1:  17%|█▋        | 320/1875 [00:04<00:19, 78.49it/s, v_num=5, train_loss=0.136, Acc%=95.60]
Epoch 1:  17%|█▋        | 321/1875 [00:04<00:19, 78.50it/s, v_num=5, train_loss=0.136, Acc%=95.60]
Epoch 1:  17%|█▋        | 321/1875 [00:04<00:19, 78.49it/s, v_num=5, train_loss=0.600, Acc%=95.60]
Epoch 1:  17%|█▋        | 322/1875 [00:04<00:19, 78.50it/s, v_num=5, train_loss=0.600, Acc%=95.60]
Epoch 1:  17%|█▋        | 322/1875 [00:04<00:19, 78.49it/s, v_num=5, train_loss=0.249, Acc%=95.60]
Epoch 1:  17%|█▋        | 323/1875 [00:04<00:19, 78.50it/s, v_num=5, train_loss=0.249, Acc%=95.60]
Epoch 1:  17%|█▋        | 323/1875 [00:04<00:19, 78.49it/s, v_num=5, train_loss=0.261, Acc%=95.60]
Epoch 1:  17%|█▋        | 324/1875 [00:04<00:19, 78.50it/s, v_num=5, train_loss=0.261, Acc%=95.60]
Epoch 1:  17%|█▋        | 324/1875 [00:04<00:19, 78.49it/s, v_num=5, train_loss=0.112, Acc%=95.60]
Epoch 1:  17%|█▋        | 325/1875 [00:04<00:19, 78.49it/s, v_num=5, train_loss=0.112, Acc%=95.60]
Epoch 1:  17%|█▋        | 325/1875 [00:04<00:19, 78.49it/s, v_num=5, train_loss=0.132, Acc%=95.60]
Epoch 1:  17%|█▋        | 326/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.132, Acc%=95.60]
Epoch 1:  17%|█▋        | 326/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.150, Acc%=95.60]
Epoch 1:  17%|█▋        | 327/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.150, Acc%=95.60]
Epoch 1:  17%|█▋        | 327/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.0721, Acc%=95.60]
Epoch 1:  17%|█▋        | 328/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.0721, Acc%=95.60]
Epoch 1:  17%|█▋        | 328/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.187, Acc%=95.60]
Epoch 1:  18%|█▊        | 329/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.187, Acc%=95.60]
Epoch 1:  18%|█▊        | 329/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.101, Acc%=95.60]
Epoch 1:  18%|█▊        | 330/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.101, Acc%=95.60]
Epoch 1:  18%|█▊        | 330/1875 [00:04<00:19, 78.46it/s, v_num=5, train_loss=0.093, Acc%=95.60]
Epoch 1:  18%|█▊        | 331/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.093, Acc%=95.60]
Epoch 1:  18%|█▊        | 331/1875 [00:04<00:19, 78.46it/s, v_num=5, train_loss=0.113, Acc%=95.60]
Epoch 1:  18%|█▊        | 332/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.113, Acc%=95.60]
Epoch 1:  18%|█▊        | 332/1875 [00:04<00:19, 78.46it/s, v_num=5, train_loss=0.109, Acc%=95.60]
Epoch 1:  18%|█▊        | 333/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.109, Acc%=95.60]
Epoch 1:  18%|█▊        | 333/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.179, Acc%=95.60]
Epoch 1:  18%|█▊        | 334/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.179, Acc%=95.60]
Epoch 1:  18%|█▊        | 334/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.158, Acc%=95.60]
Epoch 1:  18%|█▊        | 335/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.158, Acc%=95.60]
Epoch 1:  18%|█▊        | 335/1875 [00:04<00:19, 78.46it/s, v_num=5, train_loss=0.126, Acc%=95.60]
Epoch 1:  18%|█▊        | 336/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.126, Acc%=95.60]
Epoch 1:  18%|█▊        | 336/1875 [00:04<00:19, 78.46it/s, v_num=5, train_loss=0.217, Acc%=95.60]
Epoch 1:  18%|█▊        | 337/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.217, Acc%=95.60]
Epoch 1:  18%|█▊        | 337/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.333, Acc%=95.60]
Epoch 1:  18%|█▊        | 338/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.333, Acc%=95.60]
Epoch 1:  18%|█▊        | 338/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.134, Acc%=95.60]
Epoch 1:  18%|█▊        | 339/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.134, Acc%=95.60]
Epoch 1:  18%|█▊        | 339/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.0959, Acc%=95.60]
Epoch 1:  18%|█▊        | 340/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.0959, Acc%=95.60]
Epoch 1:  18%|█▊        | 340/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.0389, Acc%=95.60]
Epoch 1:  18%|█▊        | 341/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.0389, Acc%=95.60]
Epoch 1:  18%|█▊        | 341/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.0862, Acc%=95.60]
Epoch 1:  18%|█▊        | 342/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.0862, Acc%=95.60]
Epoch 1:  18%|█▊        | 342/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.113, Acc%=95.60]
Epoch 1:  18%|█▊        | 343/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.113, Acc%=95.60]
Epoch 1:  18%|█▊        | 343/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.0625, Acc%=95.60]
Epoch 1:  18%|█▊        | 344/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.0625, Acc%=95.60]
Epoch 1:  18%|█▊        | 344/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.0698, Acc%=95.60]
Epoch 1:  18%|█▊        | 345/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.0698, Acc%=95.60]
Epoch 1:  18%|█▊        | 345/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.319, Acc%=95.60]
Epoch 1:  18%|█▊        | 346/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.319, Acc%=95.60]
Epoch 1:  18%|█▊        | 346/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.0976, Acc%=95.60]
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Epoch 1:  19%|█▊        | 347/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.231, Acc%=95.60]
Epoch 1:  19%|█▊        | 348/1875 [00:04<00:19, 78.49it/s, v_num=5, train_loss=0.231, Acc%=95.60]
Epoch 1:  19%|█▊        | 348/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.114, Acc%=95.60]
Epoch 1:  19%|█▊        | 349/1875 [00:04<00:19, 78.49it/s, v_num=5, train_loss=0.114, Acc%=95.60]
Epoch 1:  19%|█▊        | 349/1875 [00:04<00:19, 78.49it/s, v_num=5, train_loss=0.287, Acc%=95.60]
Epoch 1:  19%|█▊        | 350/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.287, Acc%=95.60]
Epoch 1:  19%|█▊        | 350/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.0519, Acc%=95.60]
Epoch 1:  19%|█▊        | 351/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.0519, Acc%=95.60]
Epoch 1:  19%|█▊        | 351/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.431, Acc%=95.60]
Epoch 1:  19%|█▉        | 352/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.431, Acc%=95.60]
Epoch 1:  19%|█▉        | 352/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.0333, Acc%=95.60]
Epoch 1:  19%|█▉        | 353/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.0333, Acc%=95.60]
Epoch 1:  19%|█▉        | 353/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.157, Acc%=95.60]
Epoch 1:  19%|█▉        | 354/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.157, Acc%=95.60]
Epoch 1:  19%|█▉        | 354/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.0447, Acc%=95.60]
Epoch 1:  19%|█▉        | 355/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.0447, Acc%=95.60]
Epoch 1:  19%|█▉        | 355/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.148, Acc%=95.60]
Epoch 1:  19%|█▉        | 356/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.148, Acc%=95.60]
Epoch 1:  19%|█▉        | 356/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.432, Acc%=95.60]
Epoch 1:  19%|█▉        | 357/1875 [00:04<00:19, 78.49it/s, v_num=5, train_loss=0.432, Acc%=95.60]
Epoch 1:  19%|█▉        | 357/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.128, Acc%=95.60]
Epoch 1:  19%|█▉        | 358/1875 [00:04<00:19, 78.49it/s, v_num=5, train_loss=0.128, Acc%=95.60]
Epoch 1:  19%|█▉        | 358/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.255, Acc%=95.60]
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Epoch 1:  19%|█▉        | 360/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.133, Acc%=95.60]
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Epoch 1:  19%|█▉        | 361/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.0708, Acc%=95.60]
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Epoch 1:  19%|█▉        | 362/1875 [00:04<00:19, 78.46it/s, v_num=5, train_loss=0.125, Acc%=95.60]
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Epoch 1:  19%|█▉        | 363/1875 [00:04<00:19, 78.46it/s, v_num=5, train_loss=0.0433, Acc%=95.60]
Epoch 1:  19%|█▉        | 364/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.0433, Acc%=95.60]
Epoch 1:  19%|█▉        | 364/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.381, Acc%=95.60]
Epoch 1:  19%|█▉        | 365/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.381, Acc%=95.60]
Epoch 1:  19%|█▉        | 365/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.0873, Acc%=95.60]
Epoch 1:  20%|█▉        | 366/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.0873, Acc%=95.60]
Epoch 1:  20%|█▉        | 366/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.273, Acc%=95.60]
Epoch 1:  20%|█▉        | 367/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.273, Acc%=95.60]
Epoch 1:  20%|█▉        | 367/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.104, Acc%=95.60]
Epoch 1:  20%|█▉        | 368/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.104, Acc%=95.60]
Epoch 1:  20%|█▉        | 368/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.0577, Acc%=95.60]
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Epoch 1:  20%|█▉        | 369/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.135, Acc%=95.60]
Epoch 1:  20%|█▉        | 370/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.135, Acc%=95.60]
Epoch 1:  20%|█▉        | 370/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.276, Acc%=95.60]
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Epoch 1:  20%|█▉        | 371/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.299, Acc%=95.60]
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Epoch 1:  20%|█▉        | 372/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.269, Acc%=95.60]
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Epoch 1:  20%|██        | 375/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.310, Acc%=95.60]
Epoch 1:  20%|██        | 375/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.0866, Acc%=95.60]
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Epoch 1:  20%|██        | 376/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.292, Acc%=95.60]
Epoch 1:  20%|██        | 377/1875 [00:04<00:19, 78.48it/s, v_num=5, train_loss=0.292, Acc%=95.60]
Epoch 1:  20%|██        | 377/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.263, Acc%=95.60]
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Epoch 1:  20%|██        | 380/1875 [00:04<00:19, 78.47it/s, v_num=5, train_loss=0.191, Acc%=95.60]
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Epoch 1:  21%|██▏       | 402/1875 [00:05<00:18, 78.49it/s, v_num=5, train_loss=0.369, Acc%=95.60]
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Epoch 1:  21%|██▏       | 403/1875 [00:05<00:18, 78.49it/s, v_num=5, train_loss=0.0804, Acc%=95.60]
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Epoch 1:  22%|██▏       | 406/1875 [00:05<00:18, 78.49it/s, v_num=5, train_loss=0.033, Acc%=95.60]
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Epoch 1:  22%|██▏       | 408/1875 [00:05<00:18, 78.50it/s, v_num=5, train_loss=0.082, Acc%=95.60]
Epoch 1:  22%|██▏       | 408/1875 [00:05<00:18, 78.50it/s, v_num=5, train_loss=0.120, Acc%=95.60]
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Epoch 1:  22%|██▏       | 409/1875 [00:05<00:18, 78.50it/s, v_num=5, train_loss=0.0856, Acc%=95.60]
Epoch 1:  22%|██▏       | 410/1875 [00:05<00:18, 78.50it/s, v_num=5, train_loss=0.0856, Acc%=95.60]
Epoch 1:  22%|██▏       | 410/1875 [00:05<00:18, 78.50it/s, v_num=5, train_loss=0.0768, Acc%=95.60]
Epoch 1:  22%|██▏       | 411/1875 [00:05<00:18, 78.50it/s, v_num=5, train_loss=0.0768, Acc%=95.60]
Epoch 1:  22%|██▏       | 411/1875 [00:05<00:18, 78.50it/s, v_num=5, train_loss=0.156, Acc%=95.60]
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Epoch 1:  22%|██▏       | 413/1875 [00:05<00:18, 78.51it/s, v_num=5, train_loss=0.217, Acc%=95.60]
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Epoch 1:  22%|██▏       | 414/1875 [00:05<00:18, 78.50it/s, v_num=5, train_loss=0.0373, Acc%=95.60]
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Epoch 1:  22%|██▏       | 416/1875 [00:05<00:18, 78.50it/s, v_num=5, train_loss=0.740, Acc%=95.60]
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Epoch 1:  22%|██▏       | 417/1875 [00:05<00:18, 78.51it/s, v_num=5, train_loss=0.184, Acc%=95.60]
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Epoch 1:  22%|██▏       | 418/1875 [00:05<00:18, 78.51it/s, v_num=5, train_loss=0.265, Acc%=95.60]
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Epoch 1:  22%|██▏       | 419/1875 [00:05<00:18, 78.51it/s, v_num=5, train_loss=0.158, Acc%=95.60]
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Epoch 1:  22%|██▏       | 420/1875 [00:05<00:18, 78.51it/s, v_num=5, train_loss=0.129, Acc%=95.60]
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Epoch 1:  23%|██▎       | 422/1875 [00:05<00:18, 78.51it/s, v_num=5, train_loss=0.290, Acc%=95.60]
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Epoch 1:  23%|██▎       | 426/1875 [00:05<00:18, 78.51it/s, v_num=5, train_loss=0.374, Acc%=95.60]
Epoch 1:  23%|██▎       | 427/1875 [00:05<00:18, 78.51it/s, v_num=5, train_loss=0.374, Acc%=95.60]
Epoch 1:  23%|██▎       | 427/1875 [00:05<00:18, 78.51it/s, v_num=5, train_loss=0.0949, Acc%=95.60]
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Epoch 1:  23%|██▎       | 428/1875 [00:05<00:18, 78.51it/s, v_num=5, train_loss=0.266, Acc%=95.60]
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Epoch 1:  23%|██▎       | 429/1875 [00:05<00:18, 78.51it/s, v_num=5, train_loss=0.120, Acc%=95.60]
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Epoch 1:  23%|██▎       | 430/1875 [00:05<00:18, 78.51it/s, v_num=5, train_loss=0.154, Acc%=95.60]
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Epoch 1:  23%|██▎       | 432/1875 [00:05<00:18, 78.51it/s, v_num=5, train_loss=0.149, Acc%=95.60]
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Epoch 1:  23%|██▎       | 434/1875 [00:05<00:18, 78.51it/s, v_num=5, train_loss=0.297, Acc%=95.60]
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Epoch 1:  25%|██▌       | 475/1875 [00:06<00:17, 78.54it/s, v_num=5, train_loss=0.0356, Acc%=95.60]
Epoch 1:  25%|██▌       | 475/1875 [00:06<00:17, 78.54it/s, v_num=5, train_loss=0.197, Acc%=95.60]
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Epoch 1:  25%|██▌       | 476/1875 [00:06<00:17, 78.53it/s, v_num=5, train_loss=0.073, Acc%=95.60]
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Epoch 1:  25%|██▌       | 477/1875 [00:06<00:17, 78.53it/s, v_num=5, train_loss=0.123, Acc%=95.60]
Epoch 1:  25%|██▌       | 478/1875 [00:06<00:17, 78.54it/s, v_num=5, train_loss=0.123, Acc%=95.60]
Epoch 1:  25%|██▌       | 478/1875 [00:06<00:17, 78.53it/s, v_num=5, train_loss=0.217, Acc%=95.60]
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Epoch 1:  26%|██▌       | 479/1875 [00:06<00:17, 78.53it/s, v_num=5, train_loss=0.196, Acc%=95.60]
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Epoch 1:  26%|██▌       | 480/1875 [00:06<00:17, 78.54it/s, v_num=5, train_loss=0.114, Acc%=95.60]
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Epoch 1:  26%|██▌       | 481/1875 [00:06<00:17, 78.54it/s, v_num=5, train_loss=0.0294, Acc%=95.60]
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Epoch 1:  26%|██▌       | 482/1875 [00:06<00:17, 78.54it/s, v_num=5, train_loss=0.151, Acc%=95.60]
Epoch 1:  26%|██▌       | 483/1875 [00:06<00:17, 78.54it/s, v_num=5, train_loss=0.151, Acc%=95.60]
Epoch 1:  26%|██▌       | 483/1875 [00:06<00:17, 78.54it/s, v_num=5, train_loss=0.286, Acc%=95.60]
Epoch 1:  26%|██▌       | 484/1875 [00:06<00:17, 78.54it/s, v_num=5, train_loss=0.286, Acc%=95.60]
Epoch 1:  26%|██▌       | 484/1875 [00:06<00:17, 78.54it/s, v_num=5, train_loss=0.064, Acc%=95.60]
Epoch 1:  26%|██▌       | 485/1875 [00:06<00:17, 78.54it/s, v_num=5, train_loss=0.064, Acc%=95.60]
Epoch 1:  26%|██▌       | 485/1875 [00:06<00:17, 78.54it/s, v_num=5, train_loss=0.220, Acc%=95.60]
Epoch 1:  26%|██▌       | 486/1875 [00:06<00:17, 78.54it/s, v_num=5, train_loss=0.220, Acc%=95.60]
Epoch 1:  26%|██▌       | 486/1875 [00:06<00:17, 78.54it/s, v_num=5, train_loss=0.158, Acc%=95.60]
Epoch 1:  26%|██▌       | 487/1875 [00:06<00:17, 78.55it/s, v_num=5, train_loss=0.158, Acc%=95.60]
Epoch 1:  26%|██▌       | 487/1875 [00:06<00:17, 78.54it/s, v_num=5, train_loss=0.107, Acc%=95.60]
Epoch 1:  26%|██▌       | 488/1875 [00:06<00:17, 78.55it/s, v_num=5, train_loss=0.107, Acc%=95.60]
Epoch 1:  26%|██▌       | 488/1875 [00:06<00:17, 78.55it/s, v_num=5, train_loss=0.0876, Acc%=95.60]
Epoch 1:  26%|██▌       | 489/1875 [00:06<00:17, 78.55it/s, v_num=5, train_loss=0.0876, Acc%=95.60]
Epoch 1:  26%|██▌       | 489/1875 [00:06<00:17, 78.55it/s, v_num=5, train_loss=0.122, Acc%=95.60]
Epoch 1:  26%|██▌       | 490/1875 [00:06<00:17, 78.55it/s, v_num=5, train_loss=0.122, Acc%=95.60]
Epoch 1:  26%|██▌       | 490/1875 [00:06<00:17, 78.55it/s, v_num=5, train_loss=0.119, Acc%=95.60]
Epoch 1:  26%|██▌       | 491/1875 [00:06<00:17, 78.55it/s, v_num=5, train_loss=0.119, Acc%=95.60]
Epoch 1:  26%|██▌       | 491/1875 [00:06<00:17, 78.55it/s, v_num=5, train_loss=0.192, Acc%=95.60]
Epoch 1:  26%|██▌       | 492/1875 [00:06<00:17, 78.55it/s, v_num=5, train_loss=0.192, Acc%=95.60]
Epoch 1:  26%|██▌       | 492/1875 [00:06<00:17, 78.55it/s, v_num=5, train_loss=0.109, Acc%=95.60]
Epoch 1:  26%|██▋       | 493/1875 [00:06<00:17, 78.55it/s, v_num=5, train_loss=0.109, Acc%=95.60]
Epoch 1:  26%|██▋       | 493/1875 [00:06<00:17, 78.55it/s, v_num=5, train_loss=0.314, Acc%=95.60]
Epoch 1:  26%|██▋       | 494/1875 [00:06<00:17, 78.55it/s, v_num=5, train_loss=0.314, Acc%=95.60]
Epoch 1:  26%|██▋       | 494/1875 [00:06<00:17, 78.55it/s, v_num=5, train_loss=0.167, Acc%=95.60]
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Epoch 1:  26%|██▋       | 495/1875 [00:06<00:17, 78.55it/s, v_num=5, train_loss=0.218, Acc%=95.60]
Epoch 1:  26%|██▋       | 496/1875 [00:06<00:17, 78.55it/s, v_num=5, train_loss=0.218, Acc%=95.60]
Epoch 1:  26%|██▋       | 496/1875 [00:06<00:17, 78.55it/s, v_num=5, train_loss=0.167, Acc%=95.60]
Epoch 1:  27%|██▋       | 497/1875 [00:06<00:17, 78.55it/s, v_num=5, train_loss=0.167, Acc%=95.60]
Epoch 1:  27%|██▋       | 497/1875 [00:06<00:17, 78.55it/s, v_num=5, train_loss=0.251, Acc%=95.60]
Epoch 1:  27%|██▋       | 498/1875 [00:06<00:17, 78.55it/s, v_num=5, train_loss=0.251, Acc%=95.60]
Epoch 1:  27%|██▋       | 498/1875 [00:06<00:17, 78.55it/s, v_num=5, train_loss=0.328, Acc%=95.60]
Epoch 1:  27%|██▋       | 499/1875 [00:06<00:17, 78.55it/s, v_num=5, train_loss=0.328, Acc%=95.60]
Epoch 1:  27%|██▋       | 499/1875 [00:06<00:17, 78.55it/s, v_num=5, train_loss=0.163, Acc%=95.60]
Epoch 1:  27%|██▋       | 500/1875 [00:06<00:17, 78.55it/s, v_num=5, train_loss=0.163, Acc%=95.60]
Epoch 1:  27%|██▋       | 500/1875 [00:06<00:17, 78.55it/s, v_num=5, train_loss=0.107, Acc%=95.60]
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Epoch 1:  27%|██▋       | 501/1875 [00:06<00:17, 78.55it/s, v_num=5, train_loss=0.0312, Acc%=95.60]
Epoch 1:  27%|██▋       | 502/1875 [00:06<00:17, 78.56it/s, v_num=5, train_loss=0.0312, Acc%=95.60]
Epoch 1:  27%|██▋       | 502/1875 [00:06<00:17, 78.55it/s, v_num=5, train_loss=0.0396, Acc%=95.60]
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Epoch 1:  27%|██▋       | 503/1875 [00:06<00:17, 78.55it/s, v_num=5, train_loss=0.122, Acc%=95.60]
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Epoch 1:  27%|██▋       | 506/1875 [00:06<00:17, 78.56it/s, v_num=5, train_loss=0.111, Acc%=95.60]
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Epoch 1:  27%|██▋       | 507/1875 [00:06<00:17, 78.56it/s, v_num=5, train_loss=0.0358, Acc%=95.60]
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Epoch 1:  27%|██▋       | 510/1875 [00:06<00:17, 78.56it/s, v_num=5, train_loss=0.162, Acc%=95.60]
Epoch 1:  27%|██▋       | 511/1875 [00:06<00:17, 78.56it/s, v_num=5, train_loss=0.162, Acc%=95.60]
Epoch 1:  27%|██▋       | 511/1875 [00:06<00:17, 78.56it/s, v_num=5, train_loss=0.227, Acc%=95.60]
Epoch 1:  27%|██▋       | 512/1875 [00:06<00:17, 78.56it/s, v_num=5, train_loss=0.227, Acc%=95.60]
Epoch 1:  27%|██▋       | 512/1875 [00:06<00:17, 78.56it/s, v_num=5, train_loss=0.343, Acc%=95.60]
Epoch 1:  27%|██▋       | 513/1875 [00:06<00:17, 78.56it/s, v_num=5, train_loss=0.343, Acc%=95.60]
Epoch 1:  27%|██▋       | 513/1875 [00:06<00:17, 78.56it/s, v_num=5, train_loss=0.284, Acc%=95.60]
Epoch 1:  27%|██▋       | 514/1875 [00:06<00:17, 78.57it/s, v_num=5, train_loss=0.284, Acc%=95.60]
Epoch 1:  27%|██▋       | 514/1875 [00:06<00:17, 78.56it/s, v_num=5, train_loss=0.131, Acc%=95.60]
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Epoch 1:  27%|██▋       | 515/1875 [00:06<00:17, 78.56it/s, v_num=5, train_loss=0.114, Acc%=95.60]
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Epoch 1:  28%|██▊       | 517/1875 [00:06<00:17, 78.57it/s, v_num=5, train_loss=0.251, Acc%=95.60]
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Epoch 1:  28%|██▊       | 520/1875 [00:06<00:17, 78.57it/s, v_num=5, train_loss=0.251, Acc%=95.60]
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Epoch 1:  28%|██▊       | 521/1875 [00:06<00:17, 78.56it/s, v_num=5, train_loss=0.238, Acc%=95.60]
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Epoch 1:  28%|██▊       | 522/1875 [00:06<00:17, 78.56it/s, v_num=5, train_loss=0.194, Acc%=95.60]
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Epoch 1:  28%|██▊       | 523/1875 [00:06<00:17, 78.56it/s, v_num=5, train_loss=0.139, Acc%=95.60]
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Epoch 1:  28%|██▊       | 527/1875 [00:06<00:17, 78.56it/s, v_num=5, train_loss=0.0448, Acc%=95.60]
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Epoch 1:  28%|██▊       | 528/1875 [00:06<00:17, 78.56it/s, v_num=5, train_loss=0.282, Acc%=95.60]
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Epoch 1:  28%|██▊       | 529/1875 [00:06<00:17, 78.56it/s, v_num=5, train_loss=0.465, Acc%=95.60]
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Epoch 1:  29%|██▉       | 547/1875 [00:06<00:16, 78.58it/s, v_num=5, train_loss=0.288, Acc%=95.60]
Epoch 1:  29%|██▉       | 548/1875 [00:06<00:16, 78.59it/s, v_num=5, train_loss=0.288, Acc%=95.60]
Epoch 1:  29%|██▉       | 548/1875 [00:06<00:16, 78.58it/s, v_num=5, train_loss=0.261, Acc%=95.60]
Epoch 1:  29%|██▉       | 549/1875 [00:06<00:16, 78.59it/s, v_num=5, train_loss=0.261, Acc%=95.60]
Epoch 1:  29%|██▉       | 549/1875 [00:06<00:16, 78.58it/s, v_num=5, train_loss=0.0873, Acc%=95.60]
Epoch 1:  29%|██▉       | 550/1875 [00:06<00:16, 78.59it/s, v_num=5, train_loss=0.0873, Acc%=95.60]
Epoch 1:  29%|██▉       | 550/1875 [00:06<00:16, 78.59it/s, v_num=5, train_loss=0.0973, Acc%=95.60]
Epoch 1:  29%|██▉       | 551/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.0973, Acc%=95.60]
Epoch 1:  29%|██▉       | 551/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.137, Acc%=95.60]
Epoch 1:  29%|██▉       | 552/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.137, Acc%=95.60]
Epoch 1:  29%|██▉       | 552/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.0552, Acc%=95.60]
Epoch 1:  29%|██▉       | 553/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.0552, Acc%=95.60]
Epoch 1:  29%|██▉       | 553/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.218, Acc%=95.60]
Epoch 1:  30%|██▉       | 554/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.218, Acc%=95.60]
Epoch 1:  30%|██▉       | 554/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.221, Acc%=95.60]
Epoch 1:  30%|██▉       | 555/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.221, Acc%=95.60]
Epoch 1:  30%|██▉       | 555/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.140, Acc%=95.60]
Epoch 1:  30%|██▉       | 556/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.140, Acc%=95.60]
Epoch 1:  30%|██▉       | 556/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.0585, Acc%=95.60]
Epoch 1:  30%|██▉       | 557/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.0585, Acc%=95.60]
Epoch 1:  30%|██▉       | 557/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.195, Acc%=95.60]
Epoch 1:  30%|██▉       | 558/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.195, Acc%=95.60]
Epoch 1:  30%|██▉       | 558/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.110, Acc%=95.60]
Epoch 1:  30%|██▉       | 559/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.110, Acc%=95.60]
Epoch 1:  30%|██▉       | 559/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.0443, Acc%=95.60]
Epoch 1:  30%|██▉       | 560/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.0443, Acc%=95.60]
Epoch 1:  30%|██▉       | 560/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.0919, Acc%=95.60]
Epoch 1:  30%|██▉       | 561/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.0919, Acc%=95.60]
Epoch 1:  30%|██▉       | 561/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.0759, Acc%=95.60]
Epoch 1:  30%|██▉       | 562/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.0759, Acc%=95.60]
Epoch 1:  30%|██▉       | 562/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.0816, Acc%=95.60]
Epoch 1:  30%|███       | 563/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.0816, Acc%=95.60]
Epoch 1:  30%|███       | 563/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.0305, Acc%=95.60]
Epoch 1:  30%|███       | 564/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.0305, Acc%=95.60]
Epoch 1:  30%|███       | 564/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.0209, Acc%=95.60]
Epoch 1:  30%|███       | 565/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.0209, Acc%=95.60]
Epoch 1:  30%|███       | 565/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.138, Acc%=95.60]
Epoch 1:  30%|███       | 566/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.138, Acc%=95.60]
Epoch 1:  30%|███       | 566/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.101, Acc%=95.60]
Epoch 1:  30%|███       | 567/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.101, Acc%=95.60]
Epoch 1:  30%|███       | 567/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.241, Acc%=95.60]
Epoch 1:  30%|███       | 568/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.241, Acc%=95.60]
Epoch 1:  30%|███       | 568/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.0178, Acc%=95.60]
Epoch 1:  30%|███       | 569/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.0178, Acc%=95.60]
Epoch 1:  30%|███       | 569/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.224, Acc%=95.60]
Epoch 1:  30%|███       | 570/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.224, Acc%=95.60]
Epoch 1:  30%|███       | 570/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.0989, Acc%=95.60]
Epoch 1:  30%|███       | 571/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.0989, Acc%=95.60]
Epoch 1:  30%|███       | 571/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.571, Acc%=95.60]
Epoch 1:  31%|███       | 572/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.571, Acc%=95.60]
Epoch 1:  31%|███       | 572/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.120, Acc%=95.60]
Epoch 1:  31%|███       | 573/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.120, Acc%=95.60]
Epoch 1:  31%|███       | 573/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.133, Acc%=95.60]
Epoch 1:  31%|███       | 574/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.133, Acc%=95.60]
Epoch 1:  31%|███       | 574/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.0966, Acc%=95.60]
Epoch 1:  31%|███       | 575/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.0966, Acc%=95.60]
Epoch 1:  31%|███       | 575/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.183, Acc%=95.60]
Epoch 1:  31%|███       | 576/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.183, Acc%=95.60]
Epoch 1:  31%|███       | 576/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.123, Acc%=95.60]
Epoch 1:  31%|███       | 577/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.123, Acc%=95.60]
Epoch 1:  31%|███       | 577/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.235, Acc%=95.60]
Epoch 1:  31%|███       | 578/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.235, Acc%=95.60]
Epoch 1:  31%|███       | 578/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.161, Acc%=95.60]
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Epoch 1:  31%|███       | 579/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.356, Acc%=95.60]
Epoch 1:  31%|███       | 580/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.356, Acc%=95.60]
Epoch 1:  31%|███       | 580/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.0383, Acc%=95.60]
Epoch 1:  31%|███       | 581/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.0383, Acc%=95.60]
Epoch 1:  31%|███       | 581/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.292, Acc%=95.60]
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Epoch 1:  31%|███       | 582/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.0943, Acc%=95.60]
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Epoch 1:  31%|███       | 583/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.0987, Acc%=95.60]
Epoch 1:  31%|███       | 584/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.0987, Acc%=95.60]
Epoch 1:  31%|███       | 584/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.283, Acc%=95.60]
Epoch 1:  31%|███       | 585/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.283, Acc%=95.60]
Epoch 1:  31%|███       | 585/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.186, Acc%=95.60]
Epoch 1:  31%|███▏      | 586/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.186, Acc%=95.60]
Epoch 1:  31%|███▏      | 586/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.154, Acc%=95.60]
Epoch 1:  31%|███▏      | 587/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.154, Acc%=95.60]
Epoch 1:  31%|███▏      | 587/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.232, Acc%=95.60]
Epoch 1:  31%|███▏      | 588/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.232, Acc%=95.60]
Epoch 1:  31%|███▏      | 588/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.0282, Acc%=95.60]
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Epoch 1:  31%|███▏      | 589/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.122, Acc%=95.60]
Epoch 1:  31%|███▏      | 590/1875 [00:07<00:16, 78.61it/s, v_num=5, train_loss=0.122, Acc%=95.60]
Epoch 1:  31%|███▏      | 590/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.169, Acc%=95.60]
Epoch 1:  32%|███▏      | 591/1875 [00:07<00:16, 78.61it/s, v_num=5, train_loss=0.169, Acc%=95.60]
Epoch 1:  32%|███▏      | 591/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.034, Acc%=95.60]
Epoch 1:  32%|███▏      | 592/1875 [00:07<00:16, 78.61it/s, v_num=5, train_loss=0.034, Acc%=95.60]
Epoch 1:  32%|███▏      | 592/1875 [00:07<00:16, 78.61it/s, v_num=5, train_loss=0.326, Acc%=95.60]
Epoch 1:  32%|███▏      | 593/1875 [00:07<00:16, 78.61it/s, v_num=5, train_loss=0.326, Acc%=95.60]
Epoch 1:  32%|███▏      | 593/1875 [00:07<00:16, 78.61it/s, v_num=5, train_loss=0.396, Acc%=95.60]
Epoch 1:  32%|███▏      | 594/1875 [00:07<00:16, 78.61it/s, v_num=5, train_loss=0.396, Acc%=95.60]
Epoch 1:  32%|███▏      | 594/1875 [00:07<00:16, 78.61it/s, v_num=5, train_loss=0.099, Acc%=95.60]
Epoch 1:  32%|███▏      | 595/1875 [00:07<00:16, 78.61it/s, v_num=5, train_loss=0.099, Acc%=95.60]
Epoch 1:  32%|███▏      | 595/1875 [00:07<00:16, 78.61it/s, v_num=5, train_loss=0.0835, Acc%=95.60]
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Epoch 1:  32%|███▏      | 596/1875 [00:07<00:16, 78.61it/s, v_num=5, train_loss=0.0225, Acc%=95.60]
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Epoch 1:  32%|███▏      | 597/1875 [00:07<00:16, 78.61it/s, v_num=5, train_loss=0.513, Acc%=95.60]
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Epoch 1:  32%|███▏      | 598/1875 [00:07<00:16, 78.61it/s, v_num=5, train_loss=0.136, Acc%=95.60]
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Epoch 1:  32%|███▏      | 599/1875 [00:07<00:16, 78.61it/s, v_num=5, train_loss=0.0388, Acc%=95.60]
Epoch 1:  32%|███▏      | 600/1875 [00:07<00:16, 78.61it/s, v_num=5, train_loss=0.0388, Acc%=95.60]
Epoch 1:  32%|███▏      | 600/1875 [00:07<00:16, 78.61it/s, v_num=5, train_loss=0.0398, Acc%=95.60]
Epoch 1:  32%|███▏      | 601/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.0398, Acc%=95.60]
Epoch 1:  32%|███▏      | 601/1875 [00:07<00:16, 78.60it/s, v_num=5, train_loss=0.153, Acc%=95.60]
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Epoch 1:  32%|███▏      | 602/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.278, Acc%=95.60]
Epoch 1:  32%|███▏      | 603/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.278, Acc%=95.60]
Epoch 1:  32%|███▏      | 603/1875 [00:07<00:16, 78.59it/s, v_num=5, train_loss=0.146, Acc%=95.60]
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Epoch 1:  32%|███▏      | 606/1875 [00:07<00:16, 78.58it/s, v_num=5, train_loss=0.121, Acc%=95.60]
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Epoch 1:  32%|███▏      | 607/1875 [00:07<00:16, 78.58it/s, v_num=5, train_loss=0.164, Acc%=95.60]
Epoch 1:  32%|███▏      | 608/1875 [00:07<00:16, 78.58it/s, v_num=5, train_loss=0.164, Acc%=95.60]
Epoch 1:  32%|███▏      | 608/1875 [00:07<00:16, 78.58it/s, v_num=5, train_loss=0.256, Acc%=95.60]
Epoch 1:  32%|███▏      | 609/1875 [00:07<00:16, 78.58it/s, v_num=5, train_loss=0.256, Acc%=95.60]
Epoch 1:  32%|███▏      | 609/1875 [00:07<00:16, 78.58it/s, v_num=5, train_loss=0.380, Acc%=95.60]
Epoch 1:  33%|███▎      | 610/1875 [00:07<00:16, 78.58it/s, v_num=5, train_loss=0.380, Acc%=95.60]
Epoch 1:  33%|███▎      | 610/1875 [00:07<00:16, 78.58it/s, v_num=5, train_loss=0.276, Acc%=95.60]
Epoch 1:  33%|███▎      | 611/1875 [00:07<00:16, 78.58it/s, v_num=5, train_loss=0.276, Acc%=95.60]
Epoch 1:  33%|███▎      | 611/1875 [00:07<00:16, 78.58it/s, v_num=5, train_loss=0.186, Acc%=95.60]
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Epoch 1:  33%|███▎      | 615/1875 [00:07<00:16, 78.57it/s, v_num=5, train_loss=0.0579, Acc%=95.60]
Epoch 1:  33%|███▎      | 615/1875 [00:07<00:16, 78.57it/s, v_num=5, train_loss=0.0298, Acc%=95.60]
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Epoch 1:  33%|███▎      | 617/1875 [00:07<00:16, 78.57it/s, v_num=5, train_loss=0.163, Acc%=95.60]
Epoch 1:  33%|███▎      | 618/1875 [00:07<00:15, 78.57it/s, v_num=5, train_loss=0.163, Acc%=95.60]
Epoch 1:  33%|███▎      | 618/1875 [00:07<00:15, 78.57it/s, v_num=5, train_loss=0.386, Acc%=95.60]
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Epoch 1:  33%|███▎      | 619/1875 [00:07<00:15, 78.56it/s, v_num=5, train_loss=0.180, Acc%=95.60]
Epoch 1:  33%|███▎      | 620/1875 [00:07<00:15, 78.57it/s, v_num=5, train_loss=0.180, Acc%=95.60]
Epoch 1:  33%|███▎      | 620/1875 [00:07<00:15, 78.56it/s, v_num=5, train_loss=0.325, Acc%=95.60]
Epoch 1:  33%|███▎      | 621/1875 [00:07<00:15, 78.56it/s, v_num=5, train_loss=0.325, Acc%=95.60]
Epoch 1:  33%|███▎      | 621/1875 [00:07<00:15, 78.56it/s, v_num=5, train_loss=0.0521, Acc%=95.60]
Epoch 1:  33%|███▎      | 622/1875 [00:07<00:15, 78.56it/s, v_num=5, train_loss=0.0521, Acc%=95.60]
Epoch 1:  33%|███▎      | 622/1875 [00:07<00:15, 78.56it/s, v_num=5, train_loss=0.0606, Acc%=95.60]
Epoch 1:  33%|███▎      | 623/1875 [00:07<00:15, 78.56it/s, v_num=5, train_loss=0.0606, Acc%=95.60]
Epoch 1:  33%|███▎      | 623/1875 [00:07<00:15, 78.56it/s, v_num=5, train_loss=0.019, Acc%=95.60]
Epoch 1:  33%|███▎      | 624/1875 [00:07<00:15, 78.56it/s, v_num=5, train_loss=0.019, Acc%=95.60]
Epoch 1:  33%|███▎      | 624/1875 [00:07<00:15, 78.56it/s, v_num=5, train_loss=0.0569, Acc%=95.60]
Epoch 1:  33%|███▎      | 625/1875 [00:07<00:15, 78.56it/s, v_num=5, train_loss=0.0569, Acc%=95.60]
Epoch 1:  33%|███▎      | 625/1875 [00:07<00:15, 78.56it/s, v_num=5, train_loss=0.103, Acc%=95.60]
Epoch 1:  33%|███▎      | 626/1875 [00:07<00:15, 78.56it/s, v_num=5, train_loss=0.103, Acc%=95.60]
Epoch 1:  33%|███▎      | 626/1875 [00:07<00:15, 78.55it/s, v_num=5, train_loss=0.0606, Acc%=95.60]
Epoch 1:  33%|███▎      | 627/1875 [00:07<00:15, 78.56it/s, v_num=5, train_loss=0.0606, Acc%=95.60]
Epoch 1:  33%|███▎      | 627/1875 [00:07<00:15, 78.55it/s, v_num=5, train_loss=0.0524, Acc%=95.60]
Epoch 1:  33%|███▎      | 628/1875 [00:07<00:15, 78.56it/s, v_num=5, train_loss=0.0524, Acc%=95.60]
Epoch 1:  33%|███▎      | 628/1875 [00:07<00:15, 78.55it/s, v_num=5, train_loss=0.146, Acc%=95.60]
Epoch 1:  34%|███▎      | 629/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.146, Acc%=95.60]
Epoch 1:  34%|███▎      | 629/1875 [00:08<00:15, 78.55it/s, v_num=5, train_loss=0.0958, Acc%=95.60]
Epoch 1:  34%|███▎      | 630/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.0958, Acc%=95.60]
Epoch 1:  34%|███▎      | 630/1875 [00:08<00:15, 78.55it/s, v_num=5, train_loss=0.137, Acc%=95.60]
Epoch 1:  34%|███▎      | 631/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.137, Acc%=95.60]
Epoch 1:  34%|███▎      | 631/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.637, Acc%=95.60]
Epoch 1:  34%|███▎      | 632/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.637, Acc%=95.60]
Epoch 1:  34%|███▎      | 632/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.205, Acc%=95.60]
Epoch 1:  34%|███▍      | 633/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.205, Acc%=95.60]
Epoch 1:  34%|███▍      | 633/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.066, Acc%=95.60]
Epoch 1:  34%|███▍      | 634/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.066, Acc%=95.60]
Epoch 1:  34%|███▍      | 634/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.154, Acc%=95.60]
Epoch 1:  34%|███▍      | 635/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.154, Acc%=95.60]
Epoch 1:  34%|███▍      | 635/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.290, Acc%=95.60]
Epoch 1:  34%|███▍      | 636/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.290, Acc%=95.60]
Epoch 1:  34%|███▍      | 636/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.743, Acc%=95.60]
Epoch 1:  34%|███▍      | 637/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.743, Acc%=95.60]
Epoch 1:  34%|███▍      | 637/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.352, Acc%=95.60]
Epoch 1:  34%|███▍      | 638/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.352, Acc%=95.60]
Epoch 1:  34%|███▍      | 638/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.165, Acc%=95.60]
Epoch 1:  34%|███▍      | 639/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.165, Acc%=95.60]
Epoch 1:  34%|███▍      | 639/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.130, Acc%=95.60]
Epoch 1:  34%|███▍      | 640/1875 [00:08<00:15, 78.57it/s, v_num=5, train_loss=0.130, Acc%=95.60]
Epoch 1:  34%|███▍      | 640/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.249, Acc%=95.60]
Epoch 1:  34%|███▍      | 641/1875 [00:08<00:15, 78.57it/s, v_num=5, train_loss=0.249, Acc%=95.60]
Epoch 1:  34%|███▍      | 641/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.0765, Acc%=95.60]
Epoch 1:  34%|███▍      | 642/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.0765, Acc%=95.60]
Epoch 1:  34%|███▍      | 642/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.0574, Acc%=95.60]
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Epoch 1:  34%|███▍      | 643/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.112, Acc%=95.60]
Epoch 1:  34%|███▍      | 644/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.112, Acc%=95.60]
Epoch 1:  34%|███▍      | 644/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.445, Acc%=95.60]
Epoch 1:  34%|███▍      | 645/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.445, Acc%=95.60]
Epoch 1:  34%|███▍      | 645/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.088, Acc%=95.60]
Epoch 1:  34%|███▍      | 646/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.088, Acc%=95.60]
Epoch 1:  34%|███▍      | 646/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.199, Acc%=95.60]
Epoch 1:  35%|███▍      | 647/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.199, Acc%=95.60]
Epoch 1:  35%|███▍      | 647/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.0936, Acc%=95.60]
Epoch 1:  35%|███▍      | 648/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.0936, Acc%=95.60]
Epoch 1:  35%|███▍      | 648/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.308, Acc%=95.60]
Epoch 1:  35%|███▍      | 649/1875 [00:08<00:15, 78.56it/s, v_num=5, train_loss=0.308, Acc%=95.60]
Epoch 1:  35%|███▍      | 649/1875 [00:08<00:15, 78.55it/s, v_num=5, train_loss=0.046, Acc%=95.60]
Epoch 1:  35%|███▍      | 650/1875 [00:08<00:15, 78.55it/s, v_num=5, train_loss=0.046, Acc%=95.60]
Epoch 1:  35%|███▍      | 650/1875 [00:08<00:15, 78.55it/s, v_num=5, train_loss=0.0857, Acc%=95.60]
Epoch 1:  35%|███▍      | 651/1875 [00:08<00:15, 78.55it/s, v_num=5, train_loss=0.0857, Acc%=95.60]
Epoch 1:  35%|███▍      | 651/1875 [00:08<00:15, 78.55it/s, v_num=5, train_loss=0.203, Acc%=95.60]
Epoch 1:  35%|███▍      | 652/1875 [00:08<00:15, 78.55it/s, v_num=5, train_loss=0.203, Acc%=95.60]
Epoch 1:  35%|███▍      | 652/1875 [00:08<00:15, 78.55it/s, v_num=5, train_loss=0.198, Acc%=95.60]
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Epoch 1:  35%|███▍      | 653/1875 [00:08<00:15, 78.55it/s, v_num=5, train_loss=0.225, Acc%=95.60]
Epoch 1:  35%|███▍      | 654/1875 [00:08<00:15, 78.55it/s, v_num=5, train_loss=0.225, Acc%=95.60]
Epoch 1:  35%|███▍      | 654/1875 [00:08<00:15, 78.55it/s, v_num=5, train_loss=0.190, Acc%=95.60]
Epoch 1:  35%|███▍      | 655/1875 [00:08<00:15, 78.55it/s, v_num=5, train_loss=0.190, Acc%=95.60]
Epoch 1:  35%|███▍      | 655/1875 [00:08<00:15, 78.55it/s, v_num=5, train_loss=0.340, Acc%=95.60]
Epoch 1:  35%|███▍      | 656/1875 [00:08<00:15, 78.55it/s, v_num=5, train_loss=0.340, Acc%=95.60]
Epoch 1:  35%|███▍      | 656/1875 [00:08<00:15, 78.55it/s, v_num=5, train_loss=0.153, Acc%=95.60]
Epoch 1:  35%|███▌      | 657/1875 [00:08<00:15, 78.55it/s, v_num=5, train_loss=0.153, Acc%=95.60]
Epoch 1:  35%|███▌      | 657/1875 [00:08<00:15, 78.55it/s, v_num=5, train_loss=0.404, Acc%=95.60]
Epoch 1:  35%|███▌      | 658/1875 [00:08<00:15, 78.55it/s, v_num=5, train_loss=0.404, Acc%=95.60]
Epoch 1:  35%|███▌      | 658/1875 [00:08<00:15, 78.54it/s, v_num=5, train_loss=0.124, Acc%=95.60]
Epoch 1:  35%|███▌      | 659/1875 [00:08<00:15, 78.55it/s, v_num=5, train_loss=0.124, Acc%=95.60]
Epoch 1:  35%|███▌      | 659/1875 [00:08<00:15, 78.54it/s, v_num=5, train_loss=0.138, Acc%=95.60]
Epoch 1:  35%|███▌      | 660/1875 [00:08<00:15, 78.55it/s, v_num=5, train_loss=0.138, Acc%=95.60]
Epoch 1:  35%|███▌      | 660/1875 [00:08<00:15, 78.54it/s, v_num=5, train_loss=0.0973, Acc%=95.60]
Epoch 1:  35%|███▌      | 661/1875 [00:08<00:15, 78.54it/s, v_num=5, train_loss=0.0973, Acc%=95.60]
Epoch 1:  35%|███▌      | 661/1875 [00:08<00:15, 78.54it/s, v_num=5, train_loss=0.105, Acc%=95.60]
Epoch 1:  35%|███▌      | 662/1875 [00:08<00:15, 78.54it/s, v_num=5, train_loss=0.105, Acc%=95.60]
Epoch 1:  35%|███▌      | 662/1875 [00:08<00:15, 78.54it/s, v_num=5, train_loss=0.410, Acc%=95.60]
Epoch 1:  35%|███▌      | 663/1875 [00:08<00:15, 78.54it/s, v_num=5, train_loss=0.410, Acc%=95.60]
Epoch 1:  35%|███▌      | 663/1875 [00:08<00:15, 78.54it/s, v_num=5, train_loss=0.227, Acc%=95.60]
Epoch 1:  35%|███▌      | 664/1875 [00:08<00:15, 78.53it/s, v_num=5, train_loss=0.227, Acc%=95.60]
Epoch 1:  35%|███▌      | 664/1875 [00:08<00:15, 78.53it/s, v_num=5, train_loss=0.111, Acc%=95.60]
Epoch 1:  35%|███▌      | 665/1875 [00:08<00:15, 78.53it/s, v_num=5, train_loss=0.111, Acc%=95.60]
Epoch 1:  35%|███▌      | 665/1875 [00:08<00:15, 78.53it/s, v_num=5, train_loss=0.238, Acc%=95.60]
Epoch 1:  36%|███▌      | 666/1875 [00:08<00:15, 78.53it/s, v_num=5, train_loss=0.238, Acc%=95.60]
Epoch 1:  36%|███▌      | 666/1875 [00:08<00:15, 78.53it/s, v_num=5, train_loss=0.324, Acc%=95.60]
Epoch 1:  36%|███▌      | 667/1875 [00:08<00:15, 78.53it/s, v_num=5, train_loss=0.324, Acc%=95.60]
Epoch 1:  36%|███▌      | 667/1875 [00:08<00:15, 78.53it/s, v_num=5, train_loss=0.186, Acc%=95.60]
Epoch 1:  36%|███▌      | 668/1875 [00:08<00:15, 78.53it/s, v_num=5, train_loss=0.186, Acc%=95.60]
Epoch 1:  36%|███▌      | 668/1875 [00:08<00:15, 78.53it/s, v_num=5, train_loss=0.0836, Acc%=95.60]
Epoch 1:  36%|███▌      | 669/1875 [00:08<00:15, 78.53it/s, v_num=5, train_loss=0.0836, Acc%=95.60]
Epoch 1:  36%|███▌      | 669/1875 [00:08<00:15, 78.53it/s, v_num=5, train_loss=0.139, Acc%=95.60]
Epoch 1:  36%|███▌      | 670/1875 [00:08<00:15, 78.53it/s, v_num=5, train_loss=0.139, Acc%=95.60]
Epoch 1:  36%|███▌      | 670/1875 [00:08<00:15, 78.53it/s, v_num=5, train_loss=0.209, Acc%=95.60]
Epoch 1:  36%|███▌      | 671/1875 [00:08<00:15, 78.53it/s, v_num=5, train_loss=0.209, Acc%=95.60]
Epoch 1:  36%|███▌      | 671/1875 [00:08<00:15, 78.53it/s, v_num=5, train_loss=0.0885, Acc%=95.60]
Epoch 1:  36%|███▌      | 672/1875 [00:08<00:15, 78.53it/s, v_num=5, train_loss=0.0885, Acc%=95.60]
Epoch 1:  36%|███▌      | 672/1875 [00:08<00:15, 78.53it/s, v_num=5, train_loss=0.0446, Acc%=95.60]
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Epoch 1:  36%|███▌      | 673/1875 [00:08<00:15, 78.53it/s, v_num=5, train_loss=0.243, Acc%=95.60]
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Epoch 1:  36%|███▌      | 674/1875 [00:08<00:15, 78.53it/s, v_num=5, train_loss=0.146, Acc%=95.60]
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Epoch 1:  36%|███▌      | 675/1875 [00:08<00:15, 78.53it/s, v_num=5, train_loss=0.304, Acc%=95.60]
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Epoch 1:  36%|███▌      | 676/1875 [00:08<00:15, 78.53it/s, v_num=5, train_loss=0.211, Acc%=95.60]
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Epoch 1:  36%|███▌      | 677/1875 [00:08<00:15, 78.53it/s, v_num=5, train_loss=0.0738, Acc%=95.60]
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Epoch 1:  36%|███▌      | 678/1875 [00:08<00:15, 78.53it/s, v_num=5, train_loss=0.0746, Acc%=95.60]
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Epoch 1:  36%|███▌      | 679/1875 [00:08<00:15, 78.53it/s, v_num=5, train_loss=0.202, Acc%=95.60]
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Epoch 1:  36%|███▋      | 680/1875 [00:08<00:15, 78.52it/s, v_num=5, train_loss=0.104, Acc%=95.60]
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Epoch 1:  36%|███▋      | 681/1875 [00:08<00:15, 78.52it/s, v_num=5, train_loss=0.158, Acc%=95.60]
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Epoch 1:  37%|███▋      | 686/1875 [00:08<00:15, 78.52it/s, v_num=5, train_loss=0.546, Acc%=95.60]
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Epoch 1:  37%|███▋      | 690/1875 [00:08<00:15, 78.52it/s, v_num=5, train_loss=0.0252, Acc%=95.60]
Epoch 1:  37%|███▋      | 691/1875 [00:08<00:15, 78.52it/s, v_num=5, train_loss=0.0252, Acc%=95.60]
Epoch 1:  37%|███▋      | 691/1875 [00:08<00:15, 78.52it/s, v_num=5, train_loss=0.0217, Acc%=95.60]
Epoch 1:  37%|███▋      | 692/1875 [00:08<00:15, 78.52it/s, v_num=5, train_loss=0.0217, Acc%=95.60]
Epoch 1:  37%|███▋      | 692/1875 [00:08<00:15, 78.52it/s, v_num=5, train_loss=0.202, Acc%=95.60]
Epoch 1:  37%|███▋      | 693/1875 [00:08<00:15, 78.52it/s, v_num=5, train_loss=0.202, Acc%=95.60]
Epoch 1:  37%|███▋      | 693/1875 [00:08<00:15, 78.52it/s, v_num=5, train_loss=0.0731, Acc%=95.60]
Epoch 1:  37%|███▋      | 694/1875 [00:08<00:15, 78.52it/s, v_num=5, train_loss=0.0731, Acc%=95.60]
Epoch 1:  37%|███▋      | 694/1875 [00:08<00:15, 78.52it/s, v_num=5, train_loss=0.0796, Acc%=95.60]
Epoch 1:  37%|███▋      | 695/1875 [00:08<00:15, 78.52it/s, v_num=5, train_loss=0.0796, Acc%=95.60]
Epoch 1:  37%|███▋      | 695/1875 [00:08<00:15, 78.52it/s, v_num=5, train_loss=0.111, Acc%=95.60]
Epoch 1:  37%|███▋      | 696/1875 [00:08<00:15, 78.52it/s, v_num=5, train_loss=0.111, Acc%=95.60]
Epoch 1:  37%|███▋      | 696/1875 [00:08<00:15, 78.52it/s, v_num=5, train_loss=0.119, Acc%=95.60]
Epoch 1:  37%|███▋      | 697/1875 [00:08<00:15, 78.52it/s, v_num=5, train_loss=0.119, Acc%=95.60]
Epoch 1:  37%|███▋      | 697/1875 [00:08<00:15, 78.52it/s, v_num=5, train_loss=0.0177, Acc%=95.60]
Epoch 1:  37%|███▋      | 698/1875 [00:08<00:14, 78.52it/s, v_num=5, train_loss=0.0177, Acc%=95.60]
Epoch 1:  37%|███▋      | 698/1875 [00:08<00:14, 78.52it/s, v_num=5, train_loss=0.0756, Acc%=95.60]
Epoch 1:  37%|███▋      | 699/1875 [00:08<00:14, 78.52it/s, v_num=5, train_loss=0.0756, Acc%=95.60]
Epoch 1:  37%|███▋      | 699/1875 [00:08<00:14, 78.52it/s, v_num=5, train_loss=0.0187, Acc%=95.60]
Epoch 1:  37%|███▋      | 700/1875 [00:08<00:14, 78.53it/s, v_num=5, train_loss=0.0187, Acc%=95.60]
Epoch 1:  37%|███▋      | 700/1875 [00:08<00:14, 78.52it/s, v_num=5, train_loss=0.129, Acc%=95.60]
Epoch 1:  37%|███▋      | 701/1875 [00:08<00:14, 78.53it/s, v_num=5, train_loss=0.129, Acc%=95.60]
Epoch 1:  37%|███▋      | 701/1875 [00:08<00:14, 78.52it/s, v_num=5, train_loss=0.170, Acc%=95.60]
Epoch 1:  37%|███▋      | 702/1875 [00:08<00:14, 78.53it/s, v_num=5, train_loss=0.170, Acc%=95.60]
Epoch 1:  37%|███▋      | 702/1875 [00:08<00:14, 78.53it/s, v_num=5, train_loss=0.316, Acc%=95.60]
Epoch 1:  37%|███▋      | 703/1875 [00:08<00:14, 78.53it/s, v_num=5, train_loss=0.316, Acc%=95.60]
Epoch 1:  37%|███▋      | 703/1875 [00:08<00:14, 78.53it/s, v_num=5, train_loss=0.265, Acc%=95.60]
Epoch 1:  38%|███▊      | 704/1875 [00:08<00:14, 78.53it/s, v_num=5, train_loss=0.265, Acc%=95.60]
Epoch 1:  38%|███▊      | 704/1875 [00:08<00:14, 78.53it/s, v_num=5, train_loss=0.111, Acc%=95.60]
Epoch 1:  38%|███▊      | 705/1875 [00:08<00:14, 78.53it/s, v_num=5, train_loss=0.111, Acc%=95.60]
Epoch 1:  38%|███▊      | 705/1875 [00:08<00:14, 78.53it/s, v_num=5, train_loss=0.248, Acc%=95.60]
Epoch 1:  38%|███▊      | 706/1875 [00:08<00:14, 78.53it/s, v_num=5, train_loss=0.248, Acc%=95.60]
Epoch 1:  38%|███▊      | 706/1875 [00:08<00:14, 78.53it/s, v_num=5, train_loss=0.0157, Acc%=95.60]
Epoch 1:  38%|███▊      | 707/1875 [00:09<00:14, 78.53it/s, v_num=5, train_loss=0.0157, Acc%=95.60]
Epoch 1:  38%|███▊      | 707/1875 [00:09<00:14, 78.53it/s, v_num=5, train_loss=0.400, Acc%=95.60]
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Epoch 1:  38%|███▊      | 708/1875 [00:09<00:14, 78.53it/s, v_num=5, train_loss=0.187, Acc%=95.60]
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Epoch 1:  38%|███▊      | 709/1875 [00:09<00:14, 78.53it/s, v_num=5, train_loss=0.0592, Acc%=95.60]
Epoch 1:  38%|███▊      | 710/1875 [00:09<00:14, 78.53it/s, v_num=5, train_loss=0.0592, Acc%=95.60]
Epoch 1:  38%|███▊      | 710/1875 [00:09<00:14, 78.53it/s, v_num=5, train_loss=0.048, Acc%=95.60]
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Epoch 1:  38%|███▊      | 711/1875 [00:09<00:14, 78.53it/s, v_num=5, train_loss=0.230, Acc%=95.60]
Epoch 1:  38%|███▊      | 712/1875 [00:09<00:14, 78.53it/s, v_num=5, train_loss=0.230, Acc%=95.60]
Epoch 1:  38%|███▊      | 712/1875 [00:09<00:14, 78.53it/s, v_num=5, train_loss=0.0845, Acc%=95.60]
Epoch 1:  38%|███▊      | 713/1875 [00:09<00:14, 78.53it/s, v_num=5, train_loss=0.0845, Acc%=95.60]
Epoch 1:  38%|███▊      | 713/1875 [00:09<00:14, 78.53it/s, v_num=5, train_loss=0.185, Acc%=95.60]
Epoch 1:  38%|███▊      | 714/1875 [00:09<00:14, 78.54it/s, v_num=5, train_loss=0.185, Acc%=95.60]
Epoch 1:  38%|███▊      | 714/1875 [00:09<00:14, 78.53it/s, v_num=5, train_loss=0.314, Acc%=95.60]
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Epoch 1:  38%|███▊      | 715/1875 [00:09<00:14, 78.53it/s, v_num=5, train_loss=0.157, Acc%=95.60]
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Epoch 1:  38%|███▊      | 716/1875 [00:09<00:14, 78.54it/s, v_num=5, train_loss=0.213, Acc%=95.60]
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Epoch 1:  38%|███▊      | 717/1875 [00:09<00:14, 78.54it/s, v_num=5, train_loss=0.196, Acc%=95.60]
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Epoch 1:  38%|███▊      | 718/1875 [00:09<00:14, 78.54it/s, v_num=5, train_loss=0.115, Acc%=95.60]
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Epoch 1:  38%|███▊      | 719/1875 [00:09<00:14, 78.54it/s, v_num=5, train_loss=0.0649, Acc%=95.60]
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Epoch 1:  38%|███▊      | 720/1875 [00:09<00:14, 78.54it/s, v_num=5, train_loss=0.206, Acc%=95.60]
Epoch 1:  38%|███▊      | 721/1875 [00:09<00:14, 78.54it/s, v_num=5, train_loss=0.206, Acc%=95.60]
Epoch 1:  38%|███▊      | 721/1875 [00:09<00:14, 78.54it/s, v_num=5, train_loss=0.311, Acc%=95.60]
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Epoch 1:  39%|███▊      | 724/1875 [00:09<00:14, 78.54it/s, v_num=5, train_loss=0.0824, Acc%=95.60]
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Epoch 1:  39%|███▊      | 725/1875 [00:09<00:14, 78.54it/s, v_num=5, train_loss=0.228, Acc%=95.60]
Epoch 1:  39%|███▊      | 726/1875 [00:09<00:14, 78.54it/s, v_num=5, train_loss=0.228, Acc%=95.60]
Epoch 1:  39%|███▊      | 726/1875 [00:09<00:14, 78.54it/s, v_num=5, train_loss=0.172, Acc%=95.60]
Epoch 1:  39%|███▉      | 727/1875 [00:09<00:14, 78.54it/s, v_num=5, train_loss=0.172, Acc%=95.60]
Epoch 1:  39%|███▉      | 727/1875 [00:09<00:14, 78.54it/s, v_num=5, train_loss=0.139, Acc%=95.60]
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Epoch 1:  39%|███▉      | 728/1875 [00:09<00:14, 78.54it/s, v_num=5, train_loss=0.298, Acc%=95.60]
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Epoch 1:  39%|███▉      | 729/1875 [00:09<00:14, 78.54it/s, v_num=5, train_loss=0.326, Acc%=95.60]
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Epoch 1:  39%|███▉      | 730/1875 [00:09<00:14, 78.54it/s, v_num=5, train_loss=0.0936, Acc%=95.60]
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Epoch 1:  39%|███▉      | 731/1875 [00:09<00:14, 78.54it/s, v_num=5, train_loss=0.111, Acc%=95.60]
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Epoch 1:  39%|███▉      | 733/1875 [00:09<00:14, 78.54it/s, v_num=5, train_loss=0.218, Acc%=95.60]
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Epoch 1:  39%|███▉      | 734/1875 [00:09<00:14, 78.54it/s, v_num=5, train_loss=0.160, Acc%=95.60]
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Epoch 1:  39%|███▉      | 735/1875 [00:09<00:14, 78.54it/s, v_num=5, train_loss=0.098, Acc%=95.60]
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Epoch 1:  39%|███▉      | 736/1875 [00:09<00:14, 78.55it/s, v_num=5, train_loss=0.0935, Acc%=95.60]
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Epoch 1:  39%|███▉      | 737/1875 [00:09<00:14, 78.55it/s, v_num=5, train_loss=0.118, Acc%=95.60]
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Epoch 1:  39%|███▉      | 739/1875 [00:09<00:14, 78.55it/s, v_num=5, train_loss=0.344, Acc%=95.60]
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Epoch 1:  42%|████▏     | 784/1875 [00:09<00:13, 78.56it/s, v_num=5, train_loss=0.171, Acc%=95.60]
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Epoch 1:  42%|████▏     | 785/1875 [00:09<00:13, 78.56it/s, v_num=5, train_loss=0.154, Acc%=95.60]
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Epoch 1:  42%|████▏     | 786/1875 [00:10<00:13, 78.56it/s, v_num=5, train_loss=0.102, Acc%=95.60]
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Epoch 1:  42%|████▏     | 787/1875 [00:10<00:13, 78.56it/s, v_num=5, train_loss=0.241, Acc%=95.60]
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Epoch 1:  42%|████▏     | 788/1875 [00:10<00:13, 78.56it/s, v_num=5, train_loss=0.263, Acc%=95.60]
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Epoch 1:  42%|████▏     | 789/1875 [00:10<00:13, 78.57it/s, v_num=5, train_loss=0.114, Acc%=95.60]
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Epoch 1:  42%|████▏     | 790/1875 [00:10<00:13, 78.57it/s, v_num=5, train_loss=0.290, Acc%=95.60]
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Epoch 1:  42%|████▏     | 793/1875 [00:10<00:13, 78.57it/s, v_num=5, train_loss=0.153, Acc%=95.60]
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Epoch 1:  42%|████▏     | 794/1875 [00:10<00:13, 78.57it/s, v_num=5, train_loss=0.205, Acc%=95.60]
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Epoch 1:  42%|████▏     | 796/1875 [00:10<00:13, 78.57it/s, v_num=5, train_loss=0.211, Acc%=95.60]
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Epoch 1:  43%|████▎     | 797/1875 [00:10<00:13, 78.57it/s, v_num=5, train_loss=0.0395, Acc%=95.60]
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Epoch 1:  43%|████▎     | 799/1875 [00:10<00:13, 78.56it/s, v_num=5, train_loss=0.229, Acc%=95.60]
Epoch 1:  43%|████▎     | 800/1875 [00:10<00:13, 78.56it/s, v_num=5, train_loss=0.229, Acc%=95.60]
Epoch 1:  43%|████▎     | 800/1875 [00:10<00:13, 78.56it/s, v_num=5, train_loss=0.137, Acc%=95.60]
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Epoch 1:  44%|████▍     | 833/1875 [00:10<00:13, 78.57it/s, v_num=5, train_loss=0.209, Acc%=95.60]
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Epoch 1:  45%|████▍     | 835/1875 [00:10<00:13, 78.57it/s, v_num=5, train_loss=0.221, Acc%=95.60]
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Epoch 1:  45%|████▍     | 836/1875 [00:10<00:13, 78.57it/s, v_num=5, train_loss=0.123, Acc%=95.60]
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Epoch 1:  45%|████▍     | 840/1875 [00:10<00:13, 78.57it/s, v_num=5, train_loss=0.104, Acc%=95.60]
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Epoch 1:  45%|████▌     | 845/1875 [00:10<00:13, 78.57it/s, v_num=5, train_loss=0.116, Acc%=95.60]
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Epoch 1:  45%|████▌     | 846/1875 [00:10<00:13, 78.57it/s, v_num=5, train_loss=0.106, Acc%=95.60]
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Epoch 1:  45%|████▌     | 848/1875 [00:10<00:13, 78.57it/s, v_num=5, train_loss=0.131, Acc%=95.60]
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Epoch 1:  45%|████▌     | 849/1875 [00:10<00:13, 78.57it/s, v_num=5, train_loss=0.157, Acc%=95.60]
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Epoch 1:  46%|████▌     | 855/1875 [00:10<00:12, 78.57it/s, v_num=5, train_loss=0.265, Acc%=95.60]
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Epoch 1:  46%|████▌     | 861/1875 [00:10<00:12, 78.58it/s, v_num=5, train_loss=0.361, Acc%=95.60]
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Epoch 1:  46%|████▌     | 864/1875 [00:10<00:12, 78.58it/s, v_num=5, train_loss=0.0762, Acc%=95.60]
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Epoch 1:  46%|████▌     | 865/1875 [00:11<00:12, 78.58it/s, v_num=5, train_loss=0.231, Acc%=95.60]
Epoch 1:  46%|████▌     | 866/1875 [00:11<00:12, 78.58it/s, v_num=5, train_loss=0.231, Acc%=95.60]
Epoch 1:  46%|████▌     | 866/1875 [00:11<00:12, 78.57it/s, v_num=5, train_loss=0.305, Acc%=95.60]
Epoch 1:  46%|████▌     | 867/1875 [00:11<00:12, 78.57it/s, v_num=5, train_loss=0.305, Acc%=95.60]
Epoch 1:  46%|████▌     | 867/1875 [00:11<00:12, 78.57it/s, v_num=5, train_loss=0.363, Acc%=95.60]
Epoch 1:  46%|████▋     | 868/1875 [00:11<00:12, 78.58it/s, v_num=5, train_loss=0.363, Acc%=95.60]
Epoch 1:  46%|████▋     | 868/1875 [00:11<00:12, 78.57it/s, v_num=5, train_loss=0.275, Acc%=95.60]
Epoch 1:  46%|████▋     | 869/1875 [00:11<00:12, 78.58it/s, v_num=5, train_loss=0.275, Acc%=95.60]
Epoch 1:  46%|████▋     | 869/1875 [00:11<00:12, 78.57it/s, v_num=5, train_loss=0.0736, Acc%=95.60]
Epoch 1:  46%|████▋     | 870/1875 [00:11<00:12, 78.58it/s, v_num=5, train_loss=0.0736, Acc%=95.60]
Epoch 1:  46%|████▋     | 870/1875 [00:11<00:12, 78.57it/s, v_num=5, train_loss=0.175, Acc%=95.60]
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Epoch 1:  46%|████▋     | 871/1875 [00:11<00:12, 78.57it/s, v_num=5, train_loss=0.354, Acc%=95.60]
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Epoch 1:  47%|████▋     | 872/1875 [00:11<00:12, 78.57it/s, v_num=5, train_loss=0.174, Acc%=95.60]
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Epoch 1:  47%|████▋     | 873/1875 [00:11<00:12, 78.57it/s, v_num=5, train_loss=0.122, Acc%=95.60]
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Epoch 1:  47%|████▋     | 874/1875 [00:11<00:12, 78.57it/s, v_num=5, train_loss=0.135, Acc%=95.60]
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Epoch 1:  47%|████▋     | 875/1875 [00:11<00:12, 78.58it/s, v_num=5, train_loss=0.112, Acc%=95.60]
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Epoch 1:  47%|████▋     | 876/1875 [00:11<00:12, 78.57it/s, v_num=5, train_loss=0.111, Acc%=95.60]
Epoch 1:  47%|████▋     | 877/1875 [00:11<00:12, 78.57it/s, v_num=5, train_loss=0.111, Acc%=95.60]
Epoch 1:  47%|████▋     | 877/1875 [00:11<00:12, 78.57it/s, v_num=5, train_loss=0.0445, Acc%=95.60]
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Epoch 1:  47%|████▋     | 878/1875 [00:11<00:12, 78.57it/s, v_num=5, train_loss=0.105, Acc%=95.60]
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Epoch 1:  47%|████▋     | 879/1875 [00:11<00:12, 78.57it/s, v_num=5, train_loss=0.118, Acc%=95.60]
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Epoch 1:  47%|████▋     | 880/1875 [00:11<00:12, 78.57it/s, v_num=5, train_loss=0.144, Acc%=95.60]
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Epoch 1:  47%|████▋     | 881/1875 [00:11<00:12, 78.58it/s, v_num=5, train_loss=0.0552, Acc%=95.60]
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Epoch 1:  47%|████▋     | 882/1875 [00:11<00:12, 78.58it/s, v_num=5, train_loss=0.106, Acc%=95.60]
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Epoch 1:  47%|████▋     | 883/1875 [00:11<00:12, 78.58it/s, v_num=5, train_loss=0.306, Acc%=95.60]
Epoch 1:  47%|████▋     | 884/1875 [00:11<00:12, 78.58it/s, v_num=5, train_loss=0.306, Acc%=95.60]
Epoch 1:  47%|████▋     | 884/1875 [00:11<00:12, 78.58it/s, v_num=5, train_loss=0.352, Acc%=95.60]
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Epoch 1:  47%|████▋     | 885/1875 [00:11<00:12, 78.58it/s, v_num=5, train_loss=0.0686, Acc%=95.60]
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Epoch 1:  47%|████▋     | 886/1875 [00:11<00:12, 78.58it/s, v_num=5, train_loss=0.131, Acc%=95.60]
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Epoch 1:  47%|████▋     | 887/1875 [00:11<00:12, 78.58it/s, v_num=5, train_loss=0.345, Acc%=95.60]
Epoch 1:  47%|████▋     | 888/1875 [00:11<00:12, 78.58it/s, v_num=5, train_loss=0.345, Acc%=95.60]
Epoch 1:  47%|████▋     | 888/1875 [00:11<00:12, 78.58it/s, v_num=5, train_loss=0.056, Acc%=95.60]
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Epoch 1:  47%|████▋     | 890/1875 [00:11<00:12, 78.58it/s, v_num=5, train_loss=0.057, Acc%=95.60]
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Epoch 1:  48%|████▊     | 892/1875 [00:11<00:12, 78.58it/s, v_num=5, train_loss=0.342, Acc%=95.60]
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Epoch 1:  48%|████▊     | 901/1875 [00:11<00:12, 78.58it/s, v_num=5, train_loss=0.200, Acc%=95.60]
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Epoch 1:  50%|████▉     | 937/1875 [00:11<00:11, 78.57it/s, v_num=5, train_loss=0.158, Acc%=95.60]
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Epoch 1:  50%|█████     | 938/1875 [00:11<00:11, 78.57it/s, v_num=5, train_loss=0.068, Acc%=95.60]
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Epoch 1:  51%|█████     | 947/1875 [00:12<00:11, 78.57it/s, v_num=5, train_loss=0.103, Acc%=95.60]
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Epoch 1:  51%|█████     | 948/1875 [00:12<00:11, 78.57it/s, v_num=5, train_loss=0.067, Acc%=95.60]
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Epoch 1:  52%|█████▏    | 973/1875 [00:12<00:11, 78.58it/s, v_num=5, train_loss=0.0618, Acc%=95.60]
Epoch 1:  52%|█████▏    | 974/1875 [00:12<00:11, 78.58it/s, v_num=5, train_loss=0.0618, Acc%=95.60]
Epoch 1:  52%|█████▏    | 974/1875 [00:12<00:11, 78.58it/s, v_num=5, train_loss=0.0682, Acc%=95.60]
Epoch 1:  52%|█████▏    | 975/1875 [00:12<00:11, 78.58it/s, v_num=5, train_loss=0.0682, Acc%=95.60]
Epoch 1:  52%|█████▏    | 975/1875 [00:12<00:11, 78.58it/s, v_num=5, train_loss=0.0546, Acc%=95.60]
Epoch 1:  52%|█████▏    | 976/1875 [00:12<00:11, 78.58it/s, v_num=5, train_loss=0.0546, Acc%=95.60]
Epoch 1:  52%|█████▏    | 976/1875 [00:12<00:11, 78.58it/s, v_num=5, train_loss=0.275, Acc%=95.60]
Epoch 1:  52%|█████▏    | 977/1875 [00:12<00:11, 78.58it/s, v_num=5, train_loss=0.275, Acc%=95.60]
Epoch 1:  52%|█████▏    | 977/1875 [00:12<00:11, 78.58it/s, v_num=5, train_loss=0.0812, Acc%=95.60]
Epoch 1:  52%|█████▏    | 978/1875 [00:12<00:11, 78.58it/s, v_num=5, train_loss=0.0812, Acc%=95.60]
Epoch 1:  52%|█████▏    | 978/1875 [00:12<00:11, 78.58it/s, v_num=5, train_loss=0.0484, Acc%=95.60]
Epoch 1:  52%|█████▏    | 979/1875 [00:12<00:11, 78.58it/s, v_num=5, train_loss=0.0484, Acc%=95.60]
Epoch 1:  52%|█████▏    | 979/1875 [00:12<00:11, 78.58it/s, v_num=5, train_loss=0.018, Acc%=95.60]
Epoch 1:  52%|█████▏    | 980/1875 [00:12<00:11, 78.58it/s, v_num=5, train_loss=0.018, Acc%=95.60]
Epoch 1:  52%|█████▏    | 980/1875 [00:12<00:11, 78.58it/s, v_num=5, train_loss=0.00311, Acc%=95.60]
Epoch 1:  52%|█████▏    | 981/1875 [00:12<00:11, 78.58it/s, v_num=5, train_loss=0.00311, Acc%=95.60]
Epoch 1:  52%|█████▏    | 981/1875 [00:12<00:11, 78.58it/s, v_num=5, train_loss=0.0749, Acc%=95.60]
Epoch 1:  52%|█████▏    | 982/1875 [00:12<00:11, 78.58it/s, v_num=5, train_loss=0.0749, Acc%=95.60]
Epoch 1:  52%|█████▏    | 982/1875 [00:12<00:11, 78.58it/s, v_num=5, train_loss=0.176, Acc%=95.60]
Epoch 1:  52%|█████▏    | 983/1875 [00:12<00:11, 78.58it/s, v_num=5, train_loss=0.176, Acc%=95.60]
Epoch 1:  52%|█████▏    | 983/1875 [00:12<00:11, 78.58it/s, v_num=5, train_loss=0.132, Acc%=95.60]
Epoch 1:  52%|█████▏    | 984/1875 [00:12<00:11, 78.58it/s, v_num=5, train_loss=0.132, Acc%=95.60]
Epoch 1:  52%|█████▏    | 984/1875 [00:12<00:11, 78.58it/s, v_num=5, train_loss=0.585, Acc%=95.60]
Epoch 1:  53%|█████▎    | 985/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.585, Acc%=95.60]
Epoch 1:  53%|█████▎    | 985/1875 [00:12<00:11, 78.58it/s, v_num=5, train_loss=0.0645, Acc%=95.60]
Epoch 1:  53%|█████▎    | 986/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.0645, Acc%=95.60]
Epoch 1:  53%|█████▎    | 986/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.184, Acc%=95.60]
Epoch 1:  53%|█████▎    | 987/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.184, Acc%=95.60]
Epoch 1:  53%|█████▎    | 987/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.0786, Acc%=95.60]
Epoch 1:  53%|█████▎    | 988/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.0786, Acc%=95.60]
Epoch 1:  53%|█████▎    | 988/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.136, Acc%=95.60]
Epoch 1:  53%|█████▎    | 989/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.136, Acc%=95.60]
Epoch 1:  53%|█████▎    | 989/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.0393, Acc%=95.60]
Epoch 1:  53%|█████▎    | 990/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.0393, Acc%=95.60]
Epoch 1:  53%|█████▎    | 990/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.359, Acc%=95.60]
Epoch 1:  53%|█████▎    | 991/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.359, Acc%=95.60]
Epoch 1:  53%|█████▎    | 991/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.0383, Acc%=95.60]
Epoch 1:  53%|█████▎    | 992/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.0383, Acc%=95.60]
Epoch 1:  53%|█████▎    | 992/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.215, Acc%=95.60]
Epoch 1:  53%|█████▎    | 993/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.215, Acc%=95.60]
Epoch 1:  53%|█████▎    | 993/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.322, Acc%=95.60]
Epoch 1:  53%|█████▎    | 994/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.322, Acc%=95.60]
Epoch 1:  53%|█████▎    | 994/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.304, Acc%=95.60]
Epoch 1:  53%|█████▎    | 995/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.304, Acc%=95.60]
Epoch 1:  53%|█████▎    | 995/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.164, Acc%=95.60]
Epoch 1:  53%|█████▎    | 996/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.164, Acc%=95.60]
Epoch 1:  53%|█████▎    | 996/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.0995, Acc%=95.60]
Epoch 1:  53%|█████▎    | 997/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.0995, Acc%=95.60]
Epoch 1:  53%|█████▎    | 997/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.119, Acc%=95.60]
Epoch 1:  53%|█████▎    | 998/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.119, Acc%=95.60]
Epoch 1:  53%|█████▎    | 998/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.0889, Acc%=95.60]
Epoch 1:  53%|█████▎    | 999/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.0889, Acc%=95.60]
Epoch 1:  53%|█████▎    | 999/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.0734, Acc%=95.60]
Epoch 1:  53%|█████▎    | 1000/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.0734, Acc%=95.60]
Epoch 1:  53%|█████▎    | 1000/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.214, Acc%=95.60]
Epoch 1:  53%|█████▎    | 1001/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.214, Acc%=95.60]
Epoch 1:  53%|█████▎    | 1001/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.322, Acc%=95.60]
Epoch 1:  53%|█████▎    | 1002/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.322, Acc%=95.60]
Epoch 1:  53%|█████▎    | 1002/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.102, Acc%=95.60]
Epoch 1:  53%|█████▎    | 1003/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.102, Acc%=95.60]
Epoch 1:  53%|█████▎    | 1003/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.194, Acc%=95.60]
Epoch 1:  54%|█████▎    | 1004/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.194, Acc%=95.60]
Epoch 1:  54%|█████▎    | 1004/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.0941, Acc%=95.60]
Epoch 1:  54%|█████▎    | 1005/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.0941, Acc%=95.60]
Epoch 1:  54%|█████▎    | 1005/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.0885, Acc%=95.60]
Epoch 1:  54%|█████▎    | 1006/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.0885, Acc%=95.60]
Epoch 1:  54%|█████▎    | 1006/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.0196, Acc%=95.60]
Epoch 1:  54%|█████▎    | 1007/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.0196, Acc%=95.60]
Epoch 1:  54%|█████▎    | 1007/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.185, Acc%=95.60]
Epoch 1:  54%|█████▍    | 1008/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.185, Acc%=95.60]
Epoch 1:  54%|█████▍    | 1008/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.0286, Acc%=95.60]
Epoch 1:  54%|█████▍    | 1009/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.0286, Acc%=95.60]
Epoch 1:  54%|█████▍    | 1009/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.421, Acc%=95.60]
Epoch 1:  54%|█████▍    | 1010/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.421, Acc%=95.60]
Epoch 1:  54%|█████▍    | 1010/1875 [00:12<00:11, 78.59it/s, v_num=5, train_loss=0.173, Acc%=95.60]
Epoch 1:  54%|█████▍    | 1011/1875 [00:12<00:10, 78.59it/s, v_num=5, train_loss=0.173, Acc%=95.60]
Epoch 1:  54%|█████▍    | 1011/1875 [00:12<00:10, 78.59it/s, v_num=5, train_loss=0.159, Acc%=95.60]
Epoch 1:  54%|█████▍    | 1012/1875 [00:12<00:10, 78.59it/s, v_num=5, train_loss=0.159, Acc%=95.60]
Epoch 1:  54%|█████▍    | 1012/1875 [00:12<00:10, 78.59it/s, v_num=5, train_loss=0.0323, Acc%=95.60]
Epoch 1:  54%|█████▍    | 1013/1875 [00:12<00:10, 78.59it/s, v_num=5, train_loss=0.0323, Acc%=95.60]
Epoch 1:  54%|█████▍    | 1013/1875 [00:12<00:10, 78.59it/s, v_num=5, train_loss=0.292, Acc%=95.60]
Epoch 1:  54%|█████▍    | 1014/1875 [00:12<00:10, 78.59it/s, v_num=5, train_loss=0.292, Acc%=95.60]
Epoch 1:  54%|█████▍    | 1014/1875 [00:12<00:10, 78.59it/s, v_num=5, train_loss=0.0261, Acc%=95.60]
Epoch 1:  54%|█████▍    | 1015/1875 [00:12<00:10, 78.59it/s, v_num=5, train_loss=0.0261, Acc%=95.60]
Epoch 1:  54%|█████▍    | 1015/1875 [00:12<00:10, 78.59it/s, v_num=5, train_loss=0.159, Acc%=95.60]
Epoch 1:  54%|█████▍    | 1016/1875 [00:12<00:10, 78.59it/s, v_num=5, train_loss=0.159, Acc%=95.60]
Epoch 1:  54%|█████▍    | 1016/1875 [00:12<00:10, 78.59it/s, v_num=5, train_loss=0.0856, Acc%=95.60]
Epoch 1:  54%|█████▍    | 1017/1875 [00:12<00:10, 78.59it/s, v_num=5, train_loss=0.0856, Acc%=95.60]
Epoch 1:  54%|█████▍    | 1017/1875 [00:12<00:10, 78.59it/s, v_num=5, train_loss=0.241, Acc%=95.60]
Epoch 1:  54%|█████▍    | 1018/1875 [00:12<00:10, 78.59it/s, v_num=5, train_loss=0.241, Acc%=95.60]
Epoch 1:  54%|█████▍    | 1018/1875 [00:12<00:10, 78.59it/s, v_num=5, train_loss=0.121, Acc%=95.60]
Epoch 1:  54%|█████▍    | 1019/1875 [00:12<00:10, 78.60it/s, v_num=5, train_loss=0.121, Acc%=95.60]
Epoch 1:  54%|█████▍    | 1019/1875 [00:12<00:10, 78.59it/s, v_num=5, train_loss=0.420, Acc%=95.60]
Epoch 1:  54%|█████▍    | 1020/1875 [00:12<00:10, 78.60it/s, v_num=5, train_loss=0.420, Acc%=95.60]
Epoch 1:  54%|█████▍    | 1020/1875 [00:12<00:10, 78.59it/s, v_num=5, train_loss=0.0631, Acc%=95.60]
Epoch 1:  54%|█████▍    | 1021/1875 [00:12<00:10, 78.60it/s, v_num=5, train_loss=0.0631, Acc%=95.60]
Epoch 1:  54%|█████▍    | 1021/1875 [00:12<00:10, 78.59it/s, v_num=5, train_loss=0.132, Acc%=95.60]
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Epoch 1:  55%|█████▍    | 1022/1875 [00:13<00:10, 78.60it/s, v_num=5, train_loss=0.0674, Acc%=95.60]
Epoch 1:  55%|█████▍    | 1023/1875 [00:13<00:10, 78.60it/s, v_num=5, train_loss=0.0674, Acc%=95.60]
Epoch 1:  55%|█████▍    | 1023/1875 [00:13<00:10, 78.60it/s, v_num=5, train_loss=0.276, Acc%=95.60]
Epoch 1:  55%|█████▍    | 1024/1875 [00:13<00:10, 78.60it/s, v_num=5, train_loss=0.276, Acc%=95.60]
Epoch 1:  55%|█████▍    | 1024/1875 [00:13<00:10, 78.60it/s, v_num=5, train_loss=0.213, Acc%=95.60]
Epoch 1:  55%|█████▍    | 1025/1875 [00:13<00:10, 78.60it/s, v_num=5, train_loss=0.213, Acc%=95.60]
Epoch 1:  55%|█████▍    | 1025/1875 [00:13<00:10, 78.60it/s, v_num=5, train_loss=0.0283, Acc%=95.60]
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Epoch 1:  55%|█████▍    | 1026/1875 [00:13<00:10, 78.59it/s, v_num=5, train_loss=0.147, Acc%=95.60]
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Epoch 1:  55%|█████▍    | 1027/1875 [00:13<00:10, 78.59it/s, v_num=5, train_loss=0.124, Acc%=95.60]
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Epoch 1:  55%|█████▍    | 1028/1875 [00:13<00:10, 78.59it/s, v_num=5, train_loss=0.308, Acc%=95.60]
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Epoch 1:  55%|█████▍    | 1029/1875 [00:13<00:10, 78.59it/s, v_num=5, train_loss=0.231, Acc%=95.60]
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Epoch 1:  55%|█████▍    | 1030/1875 [00:13<00:10, 78.59it/s, v_num=5, train_loss=0.349, Acc%=95.60]
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Epoch 1:  55%|█████▍    | 1031/1875 [00:13<00:10, 78.60it/s, v_num=5, train_loss=0.0352, Acc%=95.60]
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Epoch 1:  55%|█████▌    | 1032/1875 [00:13<00:10, 78.60it/s, v_num=5, train_loss=0.0948, Acc%=95.60]
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Epoch 1:  55%|█████▌    | 1033/1875 [00:13<00:10, 78.60it/s, v_num=5, train_loss=0.0686, Acc%=95.60]
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Epoch 1:  55%|█████▌    | 1034/1875 [00:13<00:10, 78.60it/s, v_num=5, train_loss=0.142, Acc%=95.60]
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Epoch 1:  55%|█████▌    | 1035/1875 [00:13<00:10, 78.60it/s, v_num=5, train_loss=0.0358, Acc%=95.60]
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Epoch 1:  55%|█████▌    | 1036/1875 [00:13<00:10, 78.60it/s, v_num=5, train_loss=0.171, Acc%=95.60]
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Epoch 1:  55%|█████▌    | 1037/1875 [00:13<00:10, 78.60it/s, v_num=5, train_loss=0.328, Acc%=95.60]
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Epoch 1:  55%|█████▌    | 1038/1875 [00:13<00:10, 78.60it/s, v_num=5, train_loss=0.533, Acc%=95.60]
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Epoch 1:  55%|█████▌    | 1039/1875 [00:13<00:10, 78.60it/s, v_num=5, train_loss=0.104, Acc%=95.60]
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Epoch 1:  55%|█████▌    | 1040/1875 [00:13<00:10, 78.60it/s, v_num=5, train_loss=0.521, Acc%=95.60]
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Epoch 1:  56%|█████▌    | 1042/1875 [00:13<00:10, 78.60it/s, v_num=5, train_loss=0.149, Acc%=95.60]
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Epoch 1:  56%|█████▌    | 1043/1875 [00:13<00:10, 78.60it/s, v_num=5, train_loss=0.122, Acc%=95.60]
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Epoch 1:  56%|█████▌    | 1044/1875 [00:13<00:10, 78.60it/s, v_num=5, train_loss=0.069, Acc%=95.60]
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Epoch 1:  56%|█████▌    | 1045/1875 [00:13<00:10, 78.60it/s, v_num=5, train_loss=0.231, Acc%=95.60]
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Epoch 1:  56%|█████▌    | 1046/1875 [00:13<00:10, 78.60it/s, v_num=5, train_loss=0.358, Acc%=95.60]
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Epoch 1:  56%|█████▌    | 1047/1875 [00:13<00:10, 78.60it/s, v_num=5, train_loss=0.0925, Acc%=95.60]
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Epoch 1:  56%|█████▌    | 1048/1875 [00:13<00:10, 78.60it/s, v_num=5, train_loss=0.234, Acc%=95.60]
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Epoch 1:  56%|█████▌    | 1049/1875 [00:13<00:10, 78.60it/s, v_num=5, train_loss=0.0734, Acc%=95.60]
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Epoch 1:  56%|█████▌    | 1050/1875 [00:13<00:10, 78.60it/s, v_num=5, train_loss=0.122, Acc%=95.60]
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Epoch 1:  56%|█████▌    | 1051/1875 [00:13<00:10, 78.60it/s, v_num=5, train_loss=0.183, Acc%=95.60]
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Epoch 1:  56%|█████▌    | 1052/1875 [00:13<00:10, 78.60it/s, v_num=5, train_loss=0.0839, Acc%=95.60]
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Epoch 1:  56%|█████▌    | 1053/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.0177, Acc%=95.60]
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Epoch 1:  56%|█████▌    | 1054/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.145, Acc%=95.60]
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Epoch 1:  56%|█████▋    | 1055/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.138, Acc%=95.60]
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Epoch 1:  56%|█████▋    | 1056/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.246, Acc%=95.60]
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Epoch 1:  56%|█████▋    | 1057/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.296, Acc%=95.60]
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Epoch 1:  56%|█████▋    | 1058/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.254, Acc%=95.60]
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Epoch 1:  56%|█████▋    | 1059/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.170, Acc%=95.60]
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Epoch 1:  57%|█████▋    | 1060/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.287, Acc%=95.60]
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Epoch 1:  57%|█████▋    | 1062/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.172, Acc%=95.60]
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Epoch 1:  57%|█████▋    | 1063/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.123, Acc%=95.60]
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Epoch 1:  57%|█████▋    | 1064/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.229, Acc%=95.60]
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Epoch 1:  57%|█████▋    | 1065/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.0787, Acc%=95.60]
Epoch 1:  57%|█████▋    | 1066/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.0787, Acc%=95.60]
Epoch 1:  57%|█████▋    | 1066/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.0618, Acc%=95.60]
Epoch 1:  57%|█████▋    | 1067/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.0618, Acc%=95.60]
Epoch 1:  57%|█████▋    | 1067/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.123, Acc%=95.60]
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Epoch 1:  57%|█████▋    | 1068/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.142, Acc%=95.60]
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Epoch 1:  57%|█████▋    | 1069/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.162, Acc%=95.60]
Epoch 1:  57%|█████▋    | 1070/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.162, Acc%=95.60]
Epoch 1:  57%|█████▋    | 1070/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.101, Acc%=95.60]
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Epoch 1:  57%|█████▋    | 1071/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.191, Acc%=95.60]
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Epoch 1:  57%|█████▋    | 1072/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.024, Acc%=95.60]
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Epoch 1:  57%|█████▋    | 1073/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.0684, Acc%=95.60]
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Epoch 1:  57%|█████▋    | 1074/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.0828, Acc%=95.60]
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Epoch 1:  57%|█████▋    | 1075/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.196, Acc%=95.60]
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Epoch 1:  57%|█████▋    | 1076/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.0361, Acc%=95.60]
Epoch 1:  57%|█████▋    | 1077/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.0361, Acc%=95.60]
Epoch 1:  57%|█████▋    | 1077/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.160, Acc%=95.60]
Epoch 1:  57%|█████▋    | 1078/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.160, Acc%=95.60]
Epoch 1:  57%|█████▋    | 1078/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.119, Acc%=95.60]
Epoch 1:  58%|█████▊    | 1079/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.119, Acc%=95.60]
Epoch 1:  58%|█████▊    | 1079/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.0308, Acc%=95.60]
Epoch 1:  58%|█████▊    | 1080/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.0308, Acc%=95.60]
Epoch 1:  58%|█████▊    | 1080/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.0832, Acc%=95.60]
Epoch 1:  58%|█████▊    | 1081/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.0832, Acc%=95.60]
Epoch 1:  58%|█████▊    | 1081/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.197, Acc%=95.60]
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Epoch 1:  58%|█████▊    | 1082/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.191, Acc%=95.60]
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Epoch 1:  58%|█████▊    | 1083/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.132, Acc%=95.60]
Epoch 1:  58%|█████▊    | 1084/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.132, Acc%=95.60]
Epoch 1:  58%|█████▊    | 1084/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.0448, Acc%=95.60]
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Epoch 1:  58%|█████▊    | 1085/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.117, Acc%=95.60]
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Epoch 1:  58%|█████▊    | 1086/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.402, Acc%=95.60]
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Epoch 1:  58%|█████▊    | 1087/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.216, Acc%=95.60]
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Epoch 1:  58%|█████▊    | 1088/1875 [00:13<00:10, 78.61it/s, v_num=5, train_loss=0.353, Acc%=95.60]
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Epoch 1:  58%|█████▊    | 1089/1875 [00:13<00:09, 78.61it/s, v_num=5, train_loss=0.177, Acc%=95.60]
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Epoch 1:  58%|█████▊    | 1090/1875 [00:13<00:09, 78.61it/s, v_num=5, train_loss=0.0513, Acc%=95.60]
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Epoch 1:  58%|█████▊    | 1091/1875 [00:13<00:09, 78.61it/s, v_num=5, train_loss=0.108, Acc%=95.60]
Epoch 1:  58%|█████▊    | 1092/1875 [00:13<00:09, 78.61it/s, v_num=5, train_loss=0.108, Acc%=95.60]
Epoch 1:  58%|█████▊    | 1092/1875 [00:13<00:09, 78.61it/s, v_num=5, train_loss=0.100, Acc%=95.60]
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Epoch 1:  58%|█████▊    | 1093/1875 [00:13<00:09, 78.61it/s, v_num=5, train_loss=0.027, Acc%=95.60]
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Epoch 1:  58%|█████▊    | 1094/1875 [00:13<00:09, 78.61it/s, v_num=5, train_loss=0.110, Acc%=95.60]
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Epoch 1:  58%|█████▊    | 1095/1875 [00:13<00:09, 78.61it/s, v_num=5, train_loss=0.180, Acc%=95.60]
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Epoch 1:  58%|█████▊    | 1096/1875 [00:13<00:09, 78.61it/s, v_num=5, train_loss=0.0404, Acc%=95.60]
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Epoch 1:  59%|█████▊    | 1097/1875 [00:13<00:09, 78.61it/s, v_num=5, train_loss=0.0244, Acc%=95.60]
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Epoch 1:  59%|█████▊    | 1098/1875 [00:13<00:09, 78.61it/s, v_num=5, train_loss=0.0209, Acc%=95.60]
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Epoch 1:  59%|█████▊    | 1099/1875 [00:13<00:09, 78.61it/s, v_num=5, train_loss=0.0437, Acc%=95.60]
Epoch 1:  59%|█████▊    | 1100/1875 [00:13<00:09, 78.61it/s, v_num=5, train_loss=0.0437, Acc%=95.60]
Epoch 1:  59%|█████▊    | 1100/1875 [00:13<00:09, 78.61it/s, v_num=5, train_loss=0.0656, Acc%=95.60]
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Epoch 1:  59%|█████▊    | 1101/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.0111, Acc%=95.60]
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Epoch 1:  59%|█████▉    | 1102/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.161, Acc%=95.60]
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Epoch 1:  59%|█████▉    | 1103/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.216, Acc%=95.60]
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Epoch 1:  59%|█████▉    | 1104/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.166, Acc%=95.60]
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Epoch 1:  59%|█████▉    | 1105/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.104, Acc%=95.60]
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Epoch 1:  59%|█████▉    | 1106/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.044, Acc%=95.60]
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Epoch 1:  59%|█████▉    | 1107/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.163, Acc%=95.60]
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Epoch 1:  59%|█████▉    | 1108/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.0228, Acc%=95.60]
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Epoch 1:  59%|█████▉    | 1109/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.152, Acc%=95.60]
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Epoch 1:  59%|█████▉    | 1111/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.211, Acc%=95.60]
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Epoch 1:  59%|█████▉    | 1112/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.0474, Acc%=95.60]
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Epoch 1:  59%|█████▉    | 1113/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.0275, Acc%=95.60]
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Epoch 1:  59%|█████▉    | 1114/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.0423, Acc%=95.60]
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Epoch 1:  59%|█████▉    | 1115/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.00878, Acc%=95.60]
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Epoch 1:  60%|█████▉    | 1116/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.188, Acc%=95.60]
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Epoch 1:  60%|█████▉    | 1117/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.109, Acc%=95.60]
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Epoch 1:  60%|█████▉    | 1118/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.205, Acc%=95.60]
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Epoch 1:  60%|█████▉    | 1119/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.0579, Acc%=95.60]
Epoch 1:  60%|█████▉    | 1120/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.0579, Acc%=95.60]
Epoch 1:  60%|█████▉    | 1120/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.0631, Acc%=95.60]
Epoch 1:  60%|█████▉    | 1121/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.0631, Acc%=95.60]
Epoch 1:  60%|█████▉    | 1121/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.0635, Acc%=95.60]
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Epoch 1:  60%|█████▉    | 1122/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.214, Acc%=95.60]
Epoch 1:  60%|█████▉    | 1123/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.214, Acc%=95.60]
Epoch 1:  60%|█████▉    | 1123/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.121, Acc%=95.60]
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Epoch 1:  60%|█████▉    | 1124/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.115, Acc%=95.60]
Epoch 1:  60%|██████    | 1125/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.115, Acc%=95.60]
Epoch 1:  60%|██████    | 1125/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.101, Acc%=95.60]
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Epoch 1:  60%|██████    | 1127/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.197, Acc%=95.60]
Epoch 1:  60%|██████    | 1128/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.197, Acc%=95.60]
Epoch 1:  60%|██████    | 1128/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.109, Acc%=95.60]
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Epoch 1:  60%|██████    | 1129/1875 [00:14<00:09, 78.61it/s, v_num=5, train_loss=0.118, Acc%=95.60]
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Epoch 1:  60%|██████    | 1131/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.0669, Acc%=95.60]
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Epoch 1:  60%|██████    | 1132/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.124, Acc%=95.60]
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Epoch 1:  60%|██████    | 1133/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.130, Acc%=95.60]
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Epoch 1:  60%|██████    | 1134/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.138, Acc%=95.60]
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Epoch 1:  61%|██████    | 1135/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.0745, Acc%=95.60]
Epoch 1:  61%|██████    | 1136/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.0745, Acc%=95.60]
Epoch 1:  61%|██████    | 1136/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.231, Acc%=95.60]
Epoch 1:  61%|██████    | 1137/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.231, Acc%=95.60]
Epoch 1:  61%|██████    | 1137/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.0242, Acc%=95.60]
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Epoch 1:  61%|██████    | 1138/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.527, Acc%=95.60]
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Epoch 1:  61%|██████    | 1139/1875 [00:14<00:09, 78.59it/s, v_num=5, train_loss=0.524, Acc%=95.60]
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Epoch 1:  61%|██████    | 1140/1875 [00:14<00:09, 78.59it/s, v_num=5, train_loss=0.242, Acc%=95.60]
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Epoch 1:  61%|██████    | 1141/1875 [00:14<00:09, 78.59it/s, v_num=5, train_loss=0.164, Acc%=95.60]
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Epoch 1:  61%|██████    | 1142/1875 [00:14<00:09, 78.59it/s, v_num=5, train_loss=0.0422, Acc%=95.60]
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Epoch 1:  61%|██████    | 1143/1875 [00:14<00:09, 78.59it/s, v_num=5, train_loss=0.335, Acc%=95.60]
Epoch 1:  61%|██████    | 1144/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.335, Acc%=95.60]
Epoch 1:  61%|██████    | 1144/1875 [00:14<00:09, 78.59it/s, v_num=5, train_loss=0.218, Acc%=95.60]
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Epoch 1:  61%|██████    | 1145/1875 [00:14<00:09, 78.59it/s, v_num=5, train_loss=0.0565, Acc%=95.60]
Epoch 1:  61%|██████    | 1146/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.0565, Acc%=95.60]
Epoch 1:  61%|██████    | 1146/1875 [00:14<00:09, 78.59it/s, v_num=5, train_loss=0.0682, Acc%=95.60]
Epoch 1:  61%|██████    | 1147/1875 [00:14<00:09, 78.59it/s, v_num=5, train_loss=0.0682, Acc%=95.60]
Epoch 1:  61%|██████    | 1147/1875 [00:14<00:09, 78.59it/s, v_num=5, train_loss=0.0316, Acc%=95.60]
Epoch 1:  61%|██████    | 1148/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.0316, Acc%=95.60]
Epoch 1:  61%|██████    | 1148/1875 [00:14<00:09, 78.59it/s, v_num=5, train_loss=0.0992, Acc%=95.60]
Epoch 1:  61%|██████▏   | 1149/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.0992, Acc%=95.60]
Epoch 1:  61%|██████▏   | 1149/1875 [00:14<00:09, 78.59it/s, v_num=5, train_loss=0.0355, Acc%=95.60]
Epoch 1:  61%|██████▏   | 1150/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.0355, Acc%=95.60]
Epoch 1:  61%|██████▏   | 1150/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.0337, Acc%=95.60]
Epoch 1:  61%|██████▏   | 1151/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.0337, Acc%=95.60]
Epoch 1:  61%|██████▏   | 1151/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.140, Acc%=95.60]
Epoch 1:  61%|██████▏   | 1152/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.140, Acc%=95.60]
Epoch 1:  61%|██████▏   | 1152/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.0905, Acc%=95.60]
Epoch 1:  61%|██████▏   | 1153/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.0905, Acc%=95.60]
Epoch 1:  61%|██████▏   | 1153/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.176, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1154/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.176, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1154/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.247, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1155/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.247, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1155/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.0504, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1156/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.0504, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1156/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.101, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1157/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.101, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1157/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.0637, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1158/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.0637, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1158/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.0816, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1159/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.0816, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1159/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.171, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1160/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.171, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1160/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.0416, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1161/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.0416, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1161/1875 [00:14<00:09, 78.59it/s, v_num=5, train_loss=0.0812, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1162/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.0812, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1162/1875 [00:14<00:09, 78.59it/s, v_num=5, train_loss=0.0816, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1163/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.0816, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1163/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.286, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1164/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.286, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1164/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.113, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1165/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.113, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1165/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.129, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1166/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.129, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1166/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.179, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1167/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.179, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1167/1875 [00:14<00:09, 78.60it/s, v_num=5, train_loss=0.0495, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1168/1875 [00:14<00:08, 78.60it/s, v_num=5, train_loss=0.0495, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1168/1875 [00:14<00:08, 78.60it/s, v_num=5, train_loss=0.00732, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1169/1875 [00:14<00:08, 78.60it/s, v_num=5, train_loss=0.00732, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1169/1875 [00:14<00:08, 78.60it/s, v_num=5, train_loss=0.0763, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1170/1875 [00:14<00:08, 78.60it/s, v_num=5, train_loss=0.0763, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1170/1875 [00:14<00:08, 78.60it/s, v_num=5, train_loss=0.0222, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1171/1875 [00:14<00:08, 78.60it/s, v_num=5, train_loss=0.0222, Acc%=95.60]
Epoch 1:  62%|██████▏   | 1171/1875 [00:14<00:08, 78.60it/s, v_num=5, train_loss=0.0482, Acc%=95.60]
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Epoch 1:  63%|██████▎   | 1172/1875 [00:14<00:08, 78.60it/s, v_num=5, train_loss=0.0894, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1173/1875 [00:14<00:08, 78.60it/s, v_num=5, train_loss=0.0894, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1173/1875 [00:14<00:08, 78.60it/s, v_num=5, train_loss=0.264, Acc%=95.60]
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Epoch 1:  63%|██████▎   | 1174/1875 [00:14<00:08, 78.60it/s, v_num=5, train_loss=0.0201, Acc%=95.60]
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Epoch 1:  63%|██████▎   | 1175/1875 [00:14<00:08, 78.60it/s, v_num=5, train_loss=0.307, Acc%=95.60]
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Epoch 1:  63%|██████▎   | 1176/1875 [00:14<00:08, 78.59it/s, v_num=5, train_loss=0.268, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1177/1875 [00:14<00:08, 78.60it/s, v_num=5, train_loss=0.268, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1177/1875 [00:14<00:08, 78.60it/s, v_num=5, train_loss=0.0547, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1178/1875 [00:14<00:08, 78.60it/s, v_num=5, train_loss=0.0547, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1178/1875 [00:14<00:08, 78.60it/s, v_num=5, train_loss=0.0778, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1179/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0778, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1179/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.106, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1180/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.106, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1180/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0813, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1181/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0813, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1181/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0643, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1182/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0643, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1182/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.118, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1183/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.118, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1183/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0226, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1184/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0226, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1184/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.177, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1185/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.177, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1185/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0553, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1186/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0553, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1186/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.124, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1187/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.124, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1187/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.216, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1188/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.216, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1188/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.031, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1189/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.031, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1189/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.381, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1190/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.381, Acc%=95.60]
Epoch 1:  63%|██████▎   | 1190/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.237, Acc%=95.60]
Epoch 1:  64%|██████▎   | 1191/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.237, Acc%=95.60]
Epoch 1:  64%|██████▎   | 1191/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0875, Acc%=95.60]
Epoch 1:  64%|██████▎   | 1192/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0875, Acc%=95.60]
Epoch 1:  64%|██████▎   | 1192/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.197, Acc%=95.60]
Epoch 1:  64%|██████▎   | 1193/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.197, Acc%=95.60]
Epoch 1:  64%|██████▎   | 1193/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.174, Acc%=95.60]
Epoch 1:  64%|██████▎   | 1194/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.174, Acc%=95.60]
Epoch 1:  64%|██████▎   | 1194/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.259, Acc%=95.60]
Epoch 1:  64%|██████▎   | 1195/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.259, Acc%=95.60]
Epoch 1:  64%|██████▎   | 1195/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.319, Acc%=95.60]
Epoch 1:  64%|██████▍   | 1196/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.319, Acc%=95.60]
Epoch 1:  64%|██████▍   | 1196/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0596, Acc%=95.60]
Epoch 1:  64%|██████▍   | 1197/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0596, Acc%=95.60]
Epoch 1:  64%|██████▍   | 1197/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.138, Acc%=95.60]
Epoch 1:  64%|██████▍   | 1198/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.138, Acc%=95.60]
Epoch 1:  64%|██████▍   | 1198/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.398, Acc%=95.60]
Epoch 1:  64%|██████▍   | 1199/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.398, Acc%=95.60]
Epoch 1:  64%|██████▍   | 1199/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.176, Acc%=95.60]
Epoch 1:  64%|██████▍   | 1200/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.176, Acc%=95.60]
Epoch 1:  64%|██████▍   | 1200/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0396, Acc%=95.60]
Epoch 1:  64%|██████▍   | 1201/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0396, Acc%=95.60]
Epoch 1:  64%|██████▍   | 1201/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.188, Acc%=95.60]
Epoch 1:  64%|██████▍   | 1202/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.188, Acc%=95.60]
Epoch 1:  64%|██████▍   | 1202/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0801, Acc%=95.60]
Epoch 1:  64%|██████▍   | 1203/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0801, Acc%=95.60]
Epoch 1:  64%|██████▍   | 1203/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.286, Acc%=95.60]
Epoch 1:  64%|██████▍   | 1204/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.286, Acc%=95.60]
Epoch 1:  64%|██████▍   | 1204/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.018, Acc%=95.60]
Epoch 1:  64%|██████▍   | 1205/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.018, Acc%=95.60]
Epoch 1:  64%|██████▍   | 1205/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0313, Acc%=95.60]
Epoch 1:  64%|██████▍   | 1206/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0313, Acc%=95.60]
Epoch 1:  64%|██████▍   | 1206/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.122, Acc%=95.60]
Epoch 1:  64%|██████▍   | 1207/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.122, Acc%=95.60]
Epoch 1:  64%|██████▍   | 1207/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.192, Acc%=95.60]
Epoch 1:  64%|██████▍   | 1208/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.192, Acc%=95.60]
Epoch 1:  64%|██████▍   | 1208/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.283, Acc%=95.60]
Epoch 1:  64%|██████▍   | 1209/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.283, Acc%=95.60]
Epoch 1:  64%|██████▍   | 1209/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.103, Acc%=95.60]
Epoch 1:  65%|██████▍   | 1210/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.103, Acc%=95.60]
Epoch 1:  65%|██████▍   | 1210/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.237, Acc%=95.60]
Epoch 1:  65%|██████▍   | 1211/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.237, Acc%=95.60]
Epoch 1:  65%|██████▍   | 1211/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.184, Acc%=95.60]
Epoch 1:  65%|██████▍   | 1212/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.184, Acc%=95.60]
Epoch 1:  65%|██████▍   | 1212/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0536, Acc%=95.60]
Epoch 1:  65%|██████▍   | 1213/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0536, Acc%=95.60]
Epoch 1:  65%|██████▍   | 1213/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0718, Acc%=95.60]
Epoch 1:  65%|██████▍   | 1214/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0718, Acc%=95.60]
Epoch 1:  65%|██████▍   | 1214/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.00831, Acc%=95.60]
Epoch 1:  65%|██████▍   | 1215/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.00831, Acc%=95.60]
Epoch 1:  65%|██████▍   | 1215/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.395, Acc%=95.60]
Epoch 1:  65%|██████▍   | 1216/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.395, Acc%=95.60]
Epoch 1:  65%|██████▍   | 1216/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0771, Acc%=95.60]
Epoch 1:  65%|██████▍   | 1217/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0771, Acc%=95.60]
Epoch 1:  65%|██████▍   | 1217/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0056, Acc%=95.60]
Epoch 1:  65%|██████▍   | 1218/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0056, Acc%=95.60]
Epoch 1:  65%|██████▍   | 1218/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0522, Acc%=95.60]
Epoch 1:  65%|██████▌   | 1219/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0522, Acc%=95.60]
Epoch 1:  65%|██████▌   | 1219/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.245, Acc%=95.60]
Epoch 1:  65%|██████▌   | 1220/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.245, Acc%=95.60]
Epoch 1:  65%|██████▌   | 1220/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0483, Acc%=95.60]
Epoch 1:  65%|██████▌   | 1221/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0483, Acc%=95.60]
Epoch 1:  65%|██████▌   | 1221/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0684, Acc%=95.60]
Epoch 1:  65%|██████▌   | 1222/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0684, Acc%=95.60]
Epoch 1:  65%|██████▌   | 1222/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.254, Acc%=95.60]
Epoch 1:  65%|██████▌   | 1223/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.254, Acc%=95.60]
Epoch 1:  65%|██████▌   | 1223/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0256, Acc%=95.60]
Epoch 1:  65%|██████▌   | 1224/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0256, Acc%=95.60]
Epoch 1:  65%|██████▌   | 1224/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.217, Acc%=95.60]
Epoch 1:  65%|██████▌   | 1225/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.217, Acc%=95.60]
Epoch 1:  65%|██████▌   | 1225/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.289, Acc%=95.60]
Epoch 1:  65%|██████▌   | 1226/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.289, Acc%=95.60]
Epoch 1:  65%|██████▌   | 1226/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.125, Acc%=95.60]
Epoch 1:  65%|██████▌   | 1227/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.125, Acc%=95.60]
Epoch 1:  65%|██████▌   | 1227/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.286, Acc%=95.60]
Epoch 1:  65%|██████▌   | 1228/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.286, Acc%=95.60]
Epoch 1:  65%|██████▌   | 1228/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0278, Acc%=95.60]
Epoch 1:  66%|██████▌   | 1229/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0278, Acc%=95.60]
Epoch 1:  66%|██████▌   | 1229/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0476, Acc%=95.60]
Epoch 1:  66%|██████▌   | 1230/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0476, Acc%=95.60]
Epoch 1:  66%|██████▌   | 1230/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0199, Acc%=95.60]
Epoch 1:  66%|██████▌   | 1231/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0199, Acc%=95.60]
Epoch 1:  66%|██████▌   | 1231/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.122, Acc%=95.60]
Epoch 1:  66%|██████▌   | 1232/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.122, Acc%=95.60]
Epoch 1:  66%|██████▌   | 1232/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.144, Acc%=95.60]
Epoch 1:  66%|██████▌   | 1233/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.144, Acc%=95.60]
Epoch 1:  66%|██████▌   | 1233/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.104, Acc%=95.60]
Epoch 1:  66%|██████▌   | 1234/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.104, Acc%=95.60]
Epoch 1:  66%|██████▌   | 1234/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0234, Acc%=95.60]
Epoch 1:  66%|██████▌   | 1235/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0234, Acc%=95.60]
Epoch 1:  66%|██████▌   | 1235/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0904, Acc%=95.60]
Epoch 1:  66%|██████▌   | 1236/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0904, Acc%=95.60]
Epoch 1:  66%|██████▌   | 1236/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0724, Acc%=95.60]
Epoch 1:  66%|██████▌   | 1237/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0724, Acc%=95.60]
Epoch 1:  66%|██████▌   | 1237/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0321, Acc%=95.60]
Epoch 1:  66%|██████▌   | 1238/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0321, Acc%=95.60]
Epoch 1:  66%|██████▌   | 1238/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.240, Acc%=95.60]
Epoch 1:  66%|██████▌   | 1239/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.240, Acc%=95.60]
Epoch 1:  66%|██████▌   | 1239/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.303, Acc%=95.60]
Epoch 1:  66%|██████▌   | 1240/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.303, Acc%=95.60]
Epoch 1:  66%|██████▌   | 1240/1875 [00:15<00:08, 78.60it/s, v_num=5, train_loss=0.0736, Acc%=95.60]
Epoch 1:  66%|██████▌   | 1241/1875 [00:15<00:08, 78.59it/s, v_num=5, train_loss=0.0736, Acc%=95.60]
Epoch 1:  66%|██████▌   | 1241/1875 [00:15<00:08, 78.59it/s, v_num=5, train_loss=0.129, Acc%=95.60]
Epoch 1:  66%|██████▌   | 1242/1875 [00:15<00:08, 78.59it/s, v_num=5, train_loss=0.129, Acc%=95.60]
Epoch 1:  66%|██████▌   | 1242/1875 [00:15<00:08, 78.59it/s, v_num=5, train_loss=0.135, Acc%=95.60]
Epoch 1:  66%|██████▋   | 1243/1875 [00:15<00:08, 78.59it/s, v_num=5, train_loss=0.135, Acc%=95.60]
Epoch 1:  66%|██████▋   | 1243/1875 [00:15<00:08, 78.59it/s, v_num=5, train_loss=0.121, Acc%=95.60]
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Epoch 1:  66%|██████▋   | 1244/1875 [00:15<00:08, 78.59it/s, v_num=5, train_loss=0.0565, Acc%=95.60]
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Epoch 1:  66%|██████▋   | 1245/1875 [00:15<00:08, 78.59it/s, v_num=5, train_loss=0.024, Acc%=95.60]
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Epoch 1:  66%|██████▋   | 1246/1875 [00:15<00:08, 78.59it/s, v_num=5, train_loss=0.178, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1247/1875 [00:15<00:07, 78.59it/s, v_num=5, train_loss=0.178, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1247/1875 [00:15<00:07, 78.59it/s, v_num=5, train_loss=0.242, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1248/1875 [00:15<00:07, 78.59it/s, v_num=5, train_loss=0.242, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1248/1875 [00:15<00:07, 78.59it/s, v_num=5, train_loss=0.252, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1249/1875 [00:15<00:07, 78.59it/s, v_num=5, train_loss=0.252, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1249/1875 [00:15<00:07, 78.59it/s, v_num=5, train_loss=0.203, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1250/1875 [00:15<00:07, 78.59it/s, v_num=5, train_loss=0.203, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1250/1875 [00:15<00:07, 78.59it/s, v_num=5, train_loss=0.139, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1251/1875 [00:15<00:07, 78.59it/s, v_num=5, train_loss=0.139, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1251/1875 [00:15<00:07, 78.59it/s, v_num=5, train_loss=0.0468, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1252/1875 [00:15<00:07, 78.59it/s, v_num=5, train_loss=0.0468, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1252/1875 [00:15<00:07, 78.59it/s, v_num=5, train_loss=0.197, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1253/1875 [00:15<00:07, 78.59it/s, v_num=5, train_loss=0.197, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1253/1875 [00:15<00:07, 78.59it/s, v_num=5, train_loss=0.103, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1254/1875 [00:15<00:07, 78.59it/s, v_num=5, train_loss=0.103, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1254/1875 [00:15<00:07, 78.59it/s, v_num=5, train_loss=0.143, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1255/1875 [00:15<00:07, 78.59it/s, v_num=5, train_loss=0.143, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1255/1875 [00:15<00:07, 78.59it/s, v_num=5, train_loss=0.00418, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1256/1875 [00:15<00:07, 78.59it/s, v_num=5, train_loss=0.00418, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1256/1875 [00:15<00:07, 78.59it/s, v_num=5, train_loss=0.0372, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1257/1875 [00:15<00:07, 78.59it/s, v_num=5, train_loss=0.0372, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1257/1875 [00:15<00:07, 78.59it/s, v_num=5, train_loss=0.128, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1258/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.128, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1258/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.171, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1259/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.171, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1259/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.00884, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1260/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.00884, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1260/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.153, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1261/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.153, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1261/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.0265, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1262/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.0265, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1262/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.136, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1263/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.136, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1263/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.219, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1264/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.219, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1264/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.116, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1265/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.116, Acc%=95.60]
Epoch 1:  67%|██████▋   | 1265/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.0458, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1266/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.0458, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1266/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.0878, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1267/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.0878, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1267/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.012, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1268/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.012, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1268/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.0392, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1269/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.0392, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1269/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.202, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1270/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.202, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1270/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.113, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1271/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.113, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1271/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.153, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1272/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.153, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1272/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.0208, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1273/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.0208, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1273/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.139, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1274/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.139, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1274/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.0212, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1275/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.0212, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1275/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.0222, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1276/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.0222, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1276/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.135, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1277/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.135, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1277/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.585, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1278/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.585, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1278/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.088, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1279/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.088, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1279/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.0271, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1280/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.0271, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1280/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.148, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1281/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.148, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1281/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.126, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1282/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.126, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1282/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.140, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1283/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.140, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1283/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.123, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1284/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.123, Acc%=95.60]
Epoch 1:  68%|██████▊   | 1284/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.259, Acc%=95.60]
Epoch 1:  69%|██████▊   | 1285/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.259, Acc%=95.60]
Epoch 1:  69%|██████▊   | 1285/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.186, Acc%=95.60]
Epoch 1:  69%|██████▊   | 1286/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.186, Acc%=95.60]
Epoch 1:  69%|██████▊   | 1286/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.325, Acc%=95.60]
Epoch 1:  69%|██████▊   | 1287/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.325, Acc%=95.60]
Epoch 1:  69%|██████▊   | 1287/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.115, Acc%=95.60]
Epoch 1:  69%|██████▊   | 1288/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.115, Acc%=95.60]
Epoch 1:  69%|██████▊   | 1288/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.229, Acc%=95.60]
Epoch 1:  69%|██████▊   | 1289/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.229, Acc%=95.60]
Epoch 1:  69%|██████▊   | 1289/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.0874, Acc%=95.60]
Epoch 1:  69%|██████▉   | 1290/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.0874, Acc%=95.60]
Epoch 1:  69%|██████▉   | 1290/1875 [00:16<00:07, 78.59it/s, v_num=5, train_loss=0.0601, Acc%=95.60]
Epoch 1:  69%|██████▉   | 1291/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.0601, Acc%=95.60]
Epoch 1:  69%|██████▉   | 1291/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.109, Acc%=95.60]
Epoch 1:  69%|██████▉   | 1292/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.109, Acc%=95.60]
Epoch 1:  69%|██████▉   | 1292/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.061, Acc%=95.60]
Epoch 1:  69%|██████▉   | 1293/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.061, Acc%=95.60]
Epoch 1:  69%|██████▉   | 1293/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.204, Acc%=95.60]
Epoch 1:  69%|██████▉   | 1294/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.204, Acc%=95.60]
Epoch 1:  69%|██████▉   | 1294/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.123, Acc%=95.60]
Epoch 1:  69%|██████▉   | 1295/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.123, Acc%=95.60]
Epoch 1:  69%|██████▉   | 1295/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.0717, Acc%=95.60]
Epoch 1:  69%|██████▉   | 1296/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.0717, Acc%=95.60]
Epoch 1:  69%|██████▉   | 1296/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.506, Acc%=95.60]
Epoch 1:  69%|██████▉   | 1297/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.506, Acc%=95.60]
Epoch 1:  69%|██████▉   | 1297/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.0359, Acc%=95.60]
Epoch 1:  69%|██████▉   | 1298/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.0359, Acc%=95.60]
Epoch 1:  69%|██████▉   | 1298/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.412, Acc%=95.60]
Epoch 1:  69%|██████▉   | 1299/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.412, Acc%=95.60]
Epoch 1:  69%|██████▉   | 1299/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.553, Acc%=95.60]
Epoch 1:  69%|██████▉   | 1300/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.553, Acc%=95.60]
Epoch 1:  69%|██████▉   | 1300/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.0727, Acc%=95.60]
Epoch 1:  69%|██████▉   | 1301/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.0727, Acc%=95.60]
Epoch 1:  69%|██████▉   | 1301/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.120, Acc%=95.60]
Epoch 1:  69%|██████▉   | 1302/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.120, Acc%=95.60]
Epoch 1:  69%|██████▉   | 1302/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.237, Acc%=95.60]
Epoch 1:  69%|██████▉   | 1303/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.237, Acc%=95.60]
Epoch 1:  69%|██████▉   | 1303/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.0368, Acc%=95.60]
Epoch 1:  70%|██████▉   | 1304/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.0368, Acc%=95.60]
Epoch 1:  70%|██████▉   | 1304/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.0359, Acc%=95.60]
Epoch 1:  70%|██████▉   | 1305/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.0359, Acc%=95.60]
Epoch 1:  70%|██████▉   | 1305/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.0286, Acc%=95.60]
Epoch 1:  70%|██████▉   | 1306/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.0286, Acc%=95.60]
Epoch 1:  70%|██████▉   | 1306/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.00415, Acc%=95.60]
Epoch 1:  70%|██████▉   | 1307/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.00415, Acc%=95.60]
Epoch 1:  70%|██████▉   | 1307/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.0475, Acc%=95.60]
Epoch 1:  70%|██████▉   | 1308/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.0475, Acc%=95.60]
Epoch 1:  70%|██████▉   | 1308/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.0216, Acc%=95.60]
Epoch 1:  70%|██████▉   | 1309/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.0216, Acc%=95.60]
Epoch 1:  70%|██████▉   | 1309/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.076, Acc%=95.60]
Epoch 1:  70%|██████▉   | 1310/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.076, Acc%=95.60]
Epoch 1:  70%|██████▉   | 1310/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.116, Acc%=95.60]
Epoch 1:  70%|██████▉   | 1311/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.116, Acc%=95.60]
Epoch 1:  70%|██████▉   | 1311/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.0803, Acc%=95.60]
Epoch 1:  70%|██████▉   | 1312/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.0803, Acc%=95.60]
Epoch 1:  70%|██████▉   | 1312/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.114, Acc%=95.60]
Epoch 1:  70%|███████   | 1313/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.114, Acc%=95.60]
Epoch 1:  70%|███████   | 1313/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.409, Acc%=95.60]
Epoch 1:  70%|███████   | 1314/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.409, Acc%=95.60]
Epoch 1:  70%|███████   | 1314/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.146, Acc%=95.60]
Epoch 1:  70%|███████   | 1315/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.146, Acc%=95.60]
Epoch 1:  70%|███████   | 1315/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.00669, Acc%=95.60]
Epoch 1:  70%|███████   | 1316/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.00669, Acc%=95.60]
Epoch 1:  70%|███████   | 1316/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.202, Acc%=95.60]
Epoch 1:  70%|███████   | 1317/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.202, Acc%=95.60]
Epoch 1:  70%|███████   | 1317/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.278, Acc%=95.60]
Epoch 1:  70%|███████   | 1318/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.278, Acc%=95.60]
Epoch 1:  70%|███████   | 1318/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.225, Acc%=95.60]
Epoch 1:  70%|███████   | 1319/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.225, Acc%=95.60]
Epoch 1:  70%|███████   | 1319/1875 [00:16<00:07, 78.60it/s, v_num=5, train_loss=0.0674, Acc%=95.60]
Epoch 1:  70%|███████   | 1320/1875 [00:16<00:07, 78.58it/s, v_num=5, train_loss=0.0674, Acc%=95.60]
Epoch 1:  70%|███████   | 1320/1875 [00:16<00:07, 78.58it/s, v_num=5, train_loss=0.084, Acc%=95.60]
Epoch 1:  70%|███████   | 1321/1875 [00:16<00:07, 78.57it/s, v_num=5, train_loss=0.084, Acc%=95.60]
Epoch 1:  70%|███████   | 1321/1875 [00:16<00:07, 78.57it/s, v_num=5, train_loss=0.0609, Acc%=95.60]
Epoch 1:  71%|███████   | 1322/1875 [00:16<00:07, 78.57it/s, v_num=5, train_loss=0.0609, Acc%=95.60]
Epoch 1:  71%|███████   | 1322/1875 [00:16<00:07, 78.56it/s, v_num=5, train_loss=0.0885, Acc%=95.60]
Epoch 1:  71%|███████   | 1323/1875 [00:16<00:07, 78.57it/s, v_num=5, train_loss=0.0885, Acc%=95.60]
Epoch 1:  71%|███████   | 1323/1875 [00:16<00:07, 78.56it/s, v_num=5, train_loss=0.0726, Acc%=95.60]
Epoch 1:  71%|███████   | 1324/1875 [00:16<00:07, 78.57it/s, v_num=5, train_loss=0.0726, Acc%=95.60]
Epoch 1:  71%|███████   | 1324/1875 [00:16<00:07, 78.57it/s, v_num=5, train_loss=0.0132, Acc%=95.60]
Epoch 1:  71%|███████   | 1325/1875 [00:16<00:07, 78.57it/s, v_num=5, train_loss=0.0132, Acc%=95.60]
Epoch 1:  71%|███████   | 1325/1875 [00:16<00:07, 78.57it/s, v_num=5, train_loss=0.178, Acc%=95.60]
Epoch 1:  71%|███████   | 1326/1875 [00:16<00:06, 78.56it/s, v_num=5, train_loss=0.178, Acc%=95.60]
Epoch 1:  71%|███████   | 1326/1875 [00:16<00:06, 78.56it/s, v_num=5, train_loss=0.0405, Acc%=95.60]
Epoch 1:  71%|███████   | 1327/1875 [00:16<00:06, 78.57it/s, v_num=5, train_loss=0.0405, Acc%=95.60]
Epoch 1:  71%|███████   | 1327/1875 [00:16<00:06, 78.56it/s, v_num=5, train_loss=0.0858, Acc%=95.60]
Epoch 1:  71%|███████   | 1328/1875 [00:16<00:06, 78.57it/s, v_num=5, train_loss=0.0858, Acc%=95.60]
Epoch 1:  71%|███████   | 1328/1875 [00:16<00:06, 78.56it/s, v_num=5, train_loss=0.0623, Acc%=95.60]
Epoch 1:  71%|███████   | 1329/1875 [00:16<00:06, 78.57it/s, v_num=5, train_loss=0.0623, Acc%=95.60]
Epoch 1:  71%|███████   | 1329/1875 [00:16<00:06, 78.57it/s, v_num=5, train_loss=0.0642, Acc%=95.60]
Epoch 1:  71%|███████   | 1330/1875 [00:16<00:06, 78.57it/s, v_num=5, train_loss=0.0642, Acc%=95.60]
Epoch 1:  71%|███████   | 1330/1875 [00:16<00:06, 78.57it/s, v_num=5, train_loss=0.0735, Acc%=95.60]
Epoch 1:  71%|███████   | 1331/1875 [00:16<00:06, 78.57it/s, v_num=5, train_loss=0.0735, Acc%=95.60]
Epoch 1:  71%|███████   | 1331/1875 [00:16<00:06, 78.56it/s, v_num=5, train_loss=0.162, Acc%=95.60]
Epoch 1:  71%|███████   | 1332/1875 [00:16<00:06, 78.57it/s, v_num=5, train_loss=0.162, Acc%=95.60]
Epoch 1:  71%|███████   | 1332/1875 [00:16<00:06, 78.56it/s, v_num=5, train_loss=0.290, Acc%=95.60]
Epoch 1:  71%|███████   | 1333/1875 [00:16<00:06, 78.57it/s, v_num=5, train_loss=0.290, Acc%=95.60]
Epoch 1:  71%|███████   | 1333/1875 [00:16<00:06, 78.57it/s, v_num=5, train_loss=0.262, Acc%=95.60]
Epoch 1:  71%|███████   | 1334/1875 [00:16<00:06, 78.57it/s, v_num=5, train_loss=0.262, Acc%=95.60]
Epoch 1:  71%|███████   | 1334/1875 [00:16<00:06, 78.57it/s, v_num=5, train_loss=0.207, Acc%=95.60]
Epoch 1:  71%|███████   | 1335/1875 [00:16<00:06, 78.57it/s, v_num=5, train_loss=0.207, Acc%=95.60]
Epoch 1:  71%|███████   | 1335/1875 [00:16<00:06, 78.57it/s, v_num=5, train_loss=0.0585, Acc%=95.60]
Epoch 1:  71%|███████▏  | 1336/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0585, Acc%=95.60]
Epoch 1:  71%|███████▏  | 1336/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0407, Acc%=95.60]
Epoch 1:  71%|███████▏  | 1337/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0407, Acc%=95.60]
Epoch 1:  71%|███████▏  | 1337/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.200, Acc%=95.60]
Epoch 1:  71%|███████▏  | 1338/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.200, Acc%=95.60]
Epoch 1:  71%|███████▏  | 1338/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.116, Acc%=95.60]
Epoch 1:  71%|███████▏  | 1339/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.116, Acc%=95.60]
Epoch 1:  71%|███████▏  | 1339/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.504, Acc%=95.60]
Epoch 1:  71%|███████▏  | 1340/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.504, Acc%=95.60]
Epoch 1:  71%|███████▏  | 1340/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.091, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1341/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.091, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1341/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0558, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1342/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0558, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1342/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.00862, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1343/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.00862, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1343/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.102, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1344/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.102, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1344/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.249, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1345/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.249, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1345/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.189, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1346/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.189, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1346/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0531, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1347/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0531, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1347/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.108, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1348/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.108, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1348/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.185, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1349/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.185, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1349/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.132, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1350/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.132, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1350/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.155, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1351/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.155, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1351/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.129, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1352/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.129, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1352/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.108, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1353/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.108, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1353/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.168, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1354/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.168, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1354/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0874, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1355/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0874, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1355/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.144, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1356/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.144, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1356/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0943, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1357/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0943, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1357/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0645, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1358/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0645, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1358/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0962, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1359/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0962, Acc%=95.60]
Epoch 1:  72%|███████▏  | 1359/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.162, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1360/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.162, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1360/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0331, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1361/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0331, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1361/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.219, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1362/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.219, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1362/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.298, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1363/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.298, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1363/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.139, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1364/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.139, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1364/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0855, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1365/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0855, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1365/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0455, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1366/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0455, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1366/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.637, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1367/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.637, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1367/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0575, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1368/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0575, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1368/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0347, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1369/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.0347, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1369/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0505, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1370/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.0505, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1370/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.124, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1371/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.124, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1371/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.299, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1372/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.299, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1372/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.425, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1373/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.425, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1373/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.0839, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1374/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.0839, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1374/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.184, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1375/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.184, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1375/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.223, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1376/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.223, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1376/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.128, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1377/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.128, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1377/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.149, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1378/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.149, Acc%=95.60]
Epoch 1:  73%|███████▎  | 1378/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.225, Acc%=95.60]
Epoch 1:  74%|███████▎  | 1379/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.225, Acc%=95.60]
Epoch 1:  74%|███████▎  | 1379/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.150, Acc%=95.60]
Epoch 1:  74%|███████▎  | 1380/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.150, Acc%=95.60]
Epoch 1:  74%|███████▎  | 1380/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0798, Acc%=95.60]
Epoch 1:  74%|███████▎  | 1381/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0798, Acc%=95.60]
Epoch 1:  74%|███████▎  | 1381/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0722, Acc%=95.60]
Epoch 1:  74%|███████▎  | 1382/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0722, Acc%=95.60]
Epoch 1:  74%|███████▎  | 1382/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.282, Acc%=95.60]
Epoch 1:  74%|███████▍  | 1383/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.282, Acc%=95.60]
Epoch 1:  74%|███████▍  | 1383/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0182, Acc%=95.60]
Epoch 1:  74%|███████▍  | 1384/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0182, Acc%=95.60]
Epoch 1:  74%|███████▍  | 1384/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.048, Acc%=95.60]
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Epoch 1:  74%|███████▍  | 1385/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.00974, Acc%=95.60]
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Epoch 1:  74%|███████▍  | 1386/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0982, Acc%=95.60]
Epoch 1:  74%|███████▍  | 1387/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0982, Acc%=95.60]
Epoch 1:  74%|███████▍  | 1387/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.148, Acc%=95.60]
Epoch 1:  74%|███████▍  | 1388/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.148, Acc%=95.60]
Epoch 1:  74%|███████▍  | 1388/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0273, Acc%=95.60]
Epoch 1:  74%|███████▍  | 1389/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.0273, Acc%=95.60]
Epoch 1:  74%|███████▍  | 1389/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.023, Acc%=95.60]
Epoch 1:  74%|███████▍  | 1390/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.023, Acc%=95.60]
Epoch 1:  74%|███████▍  | 1390/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.0644, Acc%=95.60]
Epoch 1:  74%|███████▍  | 1391/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.0644, Acc%=95.60]
Epoch 1:  74%|███████▍  | 1391/1875 [00:17<00:06, 78.57it/s, v_num=5, train_loss=0.185, Acc%=95.60]
Epoch 1:  74%|███████▍  | 1392/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.185, Acc%=95.60]
Epoch 1:  74%|███████▍  | 1392/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.111, Acc%=95.60]
Epoch 1:  74%|███████▍  | 1393/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.111, Acc%=95.60]
Epoch 1:  74%|███████▍  | 1393/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.069, Acc%=95.60]
Epoch 1:  74%|███████▍  | 1394/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.069, Acc%=95.60]
Epoch 1:  74%|███████▍  | 1394/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.217, Acc%=95.60]
Epoch 1:  74%|███████▍  | 1395/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.217, Acc%=95.60]
Epoch 1:  74%|███████▍  | 1395/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.227, Acc%=95.60]
Epoch 1:  74%|███████▍  | 1396/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.227, Acc%=95.60]
Epoch 1:  74%|███████▍  | 1396/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.0956, Acc%=95.60]
Epoch 1:  75%|███████▍  | 1397/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.0956, Acc%=95.60]
Epoch 1:  75%|███████▍  | 1397/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.250, Acc%=95.60]
Epoch 1:  75%|███████▍  | 1398/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.250, Acc%=95.60]
Epoch 1:  75%|███████▍  | 1398/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.276, Acc%=95.60]
Epoch 1:  75%|███████▍  | 1399/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.276, Acc%=95.60]
Epoch 1:  75%|███████▍  | 1399/1875 [00:17<00:06, 78.58it/s, v_num=5, train_loss=0.0666, Acc%=95.60]
Epoch 1:  75%|███████▍  | 1400/1875 [00:17<00:06, 78.56it/s, v_num=5, train_loss=0.0666, Acc%=95.60]
Epoch 1:  75%|███████▍  | 1400/1875 [00:17<00:06, 78.56it/s, v_num=5, train_loss=0.0722, Acc%=95.60]
Epoch 1:  75%|███████▍  | 1401/1875 [00:17<00:06, 78.55it/s, v_num=5, train_loss=0.0722, Acc%=95.60]
Epoch 1:  75%|███████▍  | 1401/1875 [00:17<00:06, 78.55it/s, v_num=5, train_loss=0.177, Acc%=95.60]
Epoch 1:  75%|███████▍  | 1402/1875 [00:17<00:06, 78.55it/s, v_num=5, train_loss=0.177, Acc%=95.60]
Epoch 1:  75%|███████▍  | 1402/1875 [00:17<00:06, 78.55it/s, v_num=5, train_loss=0.111, Acc%=95.60]
Epoch 1:  75%|███████▍  | 1403/1875 [00:17<00:06, 78.55it/s, v_num=5, train_loss=0.111, Acc%=95.60]
Epoch 1:  75%|███████▍  | 1403/1875 [00:17<00:06, 78.55it/s, v_num=5, train_loss=0.125, Acc%=95.60]
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Epoch 1:  75%|███████▍  | 1404/1875 [00:17<00:05, 78.55it/s, v_num=5, train_loss=0.229, Acc%=95.60]
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Epoch 1:  75%|███████▍  | 1405/1875 [00:17<00:05, 78.55it/s, v_num=5, train_loss=0.344, Acc%=95.60]
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Epoch 1:  75%|███████▍  | 1406/1875 [00:17<00:05, 78.55it/s, v_num=5, train_loss=0.242, Acc%=95.60]
Epoch 1:  75%|███████▌  | 1407/1875 [00:17<00:05, 78.55it/s, v_num=5, train_loss=0.242, Acc%=95.60]
Epoch 1:  75%|███████▌  | 1407/1875 [00:17<00:05, 78.55it/s, v_num=5, train_loss=0.376, Acc%=95.60]
Epoch 1:  75%|███████▌  | 1408/1875 [00:17<00:05, 78.55it/s, v_num=5, train_loss=0.376, Acc%=95.60]
Epoch 1:  75%|███████▌  | 1408/1875 [00:17<00:05, 78.55it/s, v_num=5, train_loss=0.205, Acc%=95.60]
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Epoch 1:  75%|███████▌  | 1409/1875 [00:17<00:05, 78.55it/s, v_num=5, train_loss=0.0743, Acc%=95.60]
Epoch 1:  75%|███████▌  | 1410/1875 [00:17<00:05, 78.56it/s, v_num=5, train_loss=0.0743, Acc%=95.60]
Epoch 1:  75%|███████▌  | 1410/1875 [00:17<00:05, 78.55it/s, v_num=5, train_loss=0.166, Acc%=95.60]
Epoch 1:  75%|███████▌  | 1411/1875 [00:17<00:05, 78.56it/s, v_num=5, train_loss=0.166, Acc%=95.60]
Epoch 1:  75%|███████▌  | 1411/1875 [00:17<00:05, 78.55it/s, v_num=5, train_loss=0.0488, Acc%=95.60]
Epoch 1:  75%|███████▌  | 1412/1875 [00:17<00:05, 78.56it/s, v_num=5, train_loss=0.0488, Acc%=95.60]
Epoch 1:  75%|███████▌  | 1412/1875 [00:17<00:05, 78.56it/s, v_num=5, train_loss=0.141, Acc%=95.60]
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Epoch 1:  75%|███████▌  | 1414/1875 [00:17<00:05, 78.56it/s, v_num=5, train_loss=0.186, Acc%=95.60]
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Epoch 1:  75%|███████▌  | 1415/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.412, Acc%=95.60]
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Epoch 1:  76%|███████▌  | 1416/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.0583, Acc%=95.60]
Epoch 1:  76%|███████▌  | 1417/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.0583, Acc%=95.60]
Epoch 1:  76%|███████▌  | 1417/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.0476, Acc%=95.60]
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Epoch 1:  76%|███████▌  | 1418/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.0349, Acc%=95.60]
Epoch 1:  76%|███████▌  | 1419/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.0349, Acc%=95.60]
Epoch 1:  76%|███████▌  | 1419/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.166, Acc%=95.60]
Epoch 1:  76%|███████▌  | 1420/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.166, Acc%=95.60]
Epoch 1:  76%|███████▌  | 1420/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.079, Acc%=95.60]
Epoch 1:  76%|███████▌  | 1421/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.079, Acc%=95.60]
Epoch 1:  76%|███████▌  | 1421/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.331, Acc%=95.60]
Epoch 1:  76%|███████▌  | 1422/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.331, Acc%=95.60]
Epoch 1:  76%|███████▌  | 1422/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.237, Acc%=95.60]
Epoch 1:  76%|███████▌  | 1423/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.237, Acc%=95.60]
Epoch 1:  76%|███████▌  | 1423/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.0419, Acc%=95.60]
Epoch 1:  76%|███████▌  | 1424/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.0419, Acc%=95.60]
Epoch 1:  76%|███████▌  | 1424/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.0309, Acc%=95.60]
Epoch 1:  76%|███████▌  | 1425/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.0309, Acc%=95.60]
Epoch 1:  76%|███████▌  | 1425/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.164, Acc%=95.60]
Epoch 1:  76%|███████▌  | 1426/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.164, Acc%=95.60]
Epoch 1:  76%|███████▌  | 1426/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.198, Acc%=95.60]
Epoch 1:  76%|███████▌  | 1427/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.198, Acc%=95.60]
Epoch 1:  76%|███████▌  | 1427/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.240, Acc%=95.60]
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Epoch 1:  76%|███████▌  | 1428/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.0535, Acc%=95.60]
Epoch 1:  76%|███████▌  | 1429/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.0535, Acc%=95.60]
Epoch 1:  76%|███████▌  | 1429/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.0406, Acc%=95.60]
Epoch 1:  76%|███████▋  | 1430/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.0406, Acc%=95.60]
Epoch 1:  76%|███████▋  | 1430/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.0715, Acc%=95.60]
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Epoch 1:  76%|███████▋  | 1431/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.0218, Acc%=95.60]
Epoch 1:  76%|███████▋  | 1432/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.0218, Acc%=95.60]
Epoch 1:  76%|███████▋  | 1432/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.165, Acc%=95.60]
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Epoch 1:  76%|███████▋  | 1433/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.167, Acc%=95.60]
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Epoch 1:  76%|███████▋  | 1434/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.332, Acc%=95.60]
Epoch 1:  77%|███████▋  | 1435/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.332, Acc%=95.60]
Epoch 1:  77%|███████▋  | 1435/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.140, Acc%=95.60]
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Epoch 1:  77%|███████▋  | 1436/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.218, Acc%=95.60]
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Epoch 1:  77%|███████▋  | 1437/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.0952, Acc%=95.60]
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Epoch 1:  77%|███████▋  | 1438/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.0944, Acc%=95.60]
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Epoch 1:  77%|███████▋  | 1439/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.229, Acc%=95.60]
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Epoch 1:  77%|███████▋  | 1440/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.108, Acc%=95.60]
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Epoch 1:  77%|███████▋  | 1441/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.0685, Acc%=95.60]
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Epoch 1:  77%|███████▋  | 1442/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.256, Acc%=95.60]
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Epoch 1:  77%|███████▋  | 1443/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.0818, Acc%=95.60]
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Epoch 1:  77%|███████▋  | 1444/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.00677, Acc%=95.60]
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Epoch 1:  77%|███████▋  | 1445/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.102, Acc%=95.60]
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Epoch 1:  77%|███████▋  | 1446/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.0816, Acc%=95.60]
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Epoch 1:  77%|███████▋  | 1447/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.0476, Acc%=95.60]
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Epoch 1:  77%|███████▋  | 1448/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.0597, Acc%=95.60]
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Epoch 1:  77%|███████▋  | 1449/1875 [00:18<00:05, 78.56it/s, v_num=5, train_loss=0.0154, Acc%=95.60]
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Epoch 1:  77%|███████▋  | 1450/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.0948, Acc%=95.60]
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Epoch 1:  77%|███████▋  | 1451/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.00631, Acc%=95.60]
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Epoch 1:  77%|███████▋  | 1452/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.114, Acc%=95.60]
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Epoch 1:  77%|███████▋  | 1453/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.125, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1454/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.125, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1454/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.107, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1455/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.107, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1455/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.159, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1456/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.159, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1456/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.0842, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1457/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.0842, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1457/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.195, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1458/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.195, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1458/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.0612, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1459/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.0612, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1459/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.163, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1460/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.163, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1460/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.120, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1461/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.120, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1461/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.255, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1462/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.255, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1462/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.203, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1463/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.203, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1463/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.0546, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1464/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.0546, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1464/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.0572, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1465/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.0572, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1465/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.0966, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1466/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.0966, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1466/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.0746, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1467/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.0746, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1467/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.258, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1468/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.258, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1468/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.103, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1469/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.103, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1469/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.410, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1470/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.410, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1470/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.490, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1471/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.490, Acc%=95.60]
Epoch 1:  78%|███████▊  | 1471/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.0503, Acc%=95.60]
Epoch 1:  79%|███████▊  | 1472/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.0503, Acc%=95.60]
Epoch 1:  79%|███████▊  | 1472/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.158, Acc%=95.60]
Epoch 1:  79%|███████▊  | 1473/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.158, Acc%=95.60]
Epoch 1:  79%|███████▊  | 1473/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.047, Acc%=95.60]
Epoch 1:  79%|███████▊  | 1474/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.047, Acc%=95.60]
Epoch 1:  79%|███████▊  | 1474/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.100, Acc%=95.60]
Epoch 1:  79%|███████▊  | 1475/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.100, Acc%=95.60]
Epoch 1:  79%|███████▊  | 1475/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.0375, Acc%=95.60]
Epoch 1:  79%|███████▊  | 1476/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.0375, Acc%=95.60]
Epoch 1:  79%|███████▊  | 1476/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.0111, Acc%=95.60]
Epoch 1:  79%|███████▉  | 1477/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.0111, Acc%=95.60]
Epoch 1:  79%|███████▉  | 1477/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.631, Acc%=95.60]
Epoch 1:  79%|███████▉  | 1478/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.631, Acc%=95.60]
Epoch 1:  79%|███████▉  | 1478/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.182, Acc%=95.60]
Epoch 1:  79%|███████▉  | 1479/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.182, Acc%=95.60]
Epoch 1:  79%|███████▉  | 1479/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.075, Acc%=95.60]
Epoch 1:  79%|███████▉  | 1480/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.075, Acc%=95.60]
Epoch 1:  79%|███████▉  | 1480/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.0501, Acc%=95.60]
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Epoch 1:  79%|███████▉  | 1481/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.0705, Acc%=95.60]
Epoch 1:  79%|███████▉  | 1482/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.0705, Acc%=95.60]
Epoch 1:  79%|███████▉  | 1482/1875 [00:18<00:05, 78.57it/s, v_num=5, train_loss=0.101, Acc%=95.60]
Epoch 1:  79%|███████▉  | 1483/1875 [00:18<00:04, 78.57it/s, v_num=5, train_loss=0.101, Acc%=95.60]
Epoch 1:  79%|███████▉  | 1483/1875 [00:18<00:04, 78.57it/s, v_num=5, train_loss=0.358, Acc%=95.60]
Epoch 1:  79%|███████▉  | 1484/1875 [00:18<00:04, 78.57it/s, v_num=5, train_loss=0.358, Acc%=95.60]
Epoch 1:  79%|███████▉  | 1484/1875 [00:18<00:04, 78.57it/s, v_num=5, train_loss=0.0306, Acc%=95.60]
Epoch 1:  79%|███████▉  | 1485/1875 [00:18<00:04, 78.57it/s, v_num=5, train_loss=0.0306, Acc%=95.60]
Epoch 1:  79%|███████▉  | 1485/1875 [00:18<00:04, 78.57it/s, v_num=5, train_loss=0.262, Acc%=95.60]
Epoch 1:  79%|███████▉  | 1486/1875 [00:18<00:04, 78.57it/s, v_num=5, train_loss=0.262, Acc%=95.60]
Epoch 1:  79%|███████▉  | 1486/1875 [00:18<00:04, 78.57it/s, v_num=5, train_loss=0.048, Acc%=95.60]
Epoch 1:  79%|███████▉  | 1487/1875 [00:18<00:04, 78.57it/s, v_num=5, train_loss=0.048, Acc%=95.60]
Epoch 1:  79%|███████▉  | 1487/1875 [00:18<00:04, 78.57it/s, v_num=5, train_loss=0.370, Acc%=95.60]
Epoch 1:  79%|███████▉  | 1488/1875 [00:18<00:04, 78.57it/s, v_num=5, train_loss=0.370, Acc%=95.60]
Epoch 1:  79%|███████▉  | 1488/1875 [00:18<00:04, 78.57it/s, v_num=5, train_loss=0.193, Acc%=95.60]
Epoch 1:  79%|███████▉  | 1489/1875 [00:18<00:04, 78.57it/s, v_num=5, train_loss=0.193, Acc%=95.60]
Epoch 1:  79%|███████▉  | 1489/1875 [00:18<00:04, 78.57it/s, v_num=5, train_loss=0.272, Acc%=95.60]
Epoch 1:  79%|███████▉  | 1490/1875 [00:18<00:04, 78.57it/s, v_num=5, train_loss=0.272, Acc%=95.60]
Epoch 1:  79%|███████▉  | 1490/1875 [00:18<00:04, 78.57it/s, v_num=5, train_loss=0.111, Acc%=95.60]
Epoch 1:  80%|███████▉  | 1491/1875 [00:18<00:04, 78.57it/s, v_num=5, train_loss=0.111, Acc%=95.60]
Epoch 1:  80%|███████▉  | 1491/1875 [00:18<00:04, 78.57it/s, v_num=5, train_loss=0.105, Acc%=95.60]
Epoch 1:  80%|███████▉  | 1492/1875 [00:18<00:04, 78.57it/s, v_num=5, train_loss=0.105, Acc%=95.60]
Epoch 1:  80%|███████▉  | 1492/1875 [00:18<00:04, 78.57it/s, v_num=5, train_loss=0.141, Acc%=95.60]
Epoch 1:  80%|███████▉  | 1493/1875 [00:19<00:04, 78.57it/s, v_num=5, train_loss=0.141, Acc%=95.60]
Epoch 1:  80%|███████▉  | 1493/1875 [00:19<00:04, 78.57it/s, v_num=5, train_loss=0.103, Acc%=95.60]
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Epoch 1:  80%|███████▉  | 1494/1875 [00:19<00:04, 78.57it/s, v_num=5, train_loss=0.141, Acc%=95.60]
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Epoch 1:  80%|███████▉  | 1495/1875 [00:19<00:04, 78.57it/s, v_num=5, train_loss=0.0769, Acc%=95.60]
Epoch 1:  80%|███████▉  | 1496/1875 [00:19<00:04, 78.57it/s, v_num=5, train_loss=0.0769, Acc%=95.60]
Epoch 1:  80%|███████▉  | 1496/1875 [00:19<00:04, 78.57it/s, v_num=5, train_loss=0.189, Acc%=95.60]
Epoch 1:  80%|███████▉  | 1497/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.189, Acc%=95.60]
Epoch 1:  80%|███████▉  | 1497/1875 [00:19<00:04, 78.57it/s, v_num=5, train_loss=0.136, Acc%=95.60]
Epoch 1:  80%|███████▉  | 1498/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.136, Acc%=95.60]
Epoch 1:  80%|███████▉  | 1498/1875 [00:19<00:04, 78.57it/s, v_num=5, train_loss=0.114, Acc%=95.60]
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Epoch 1:  80%|███████▉  | 1499/1875 [00:19<00:04, 78.57it/s, v_num=5, train_loss=0.110, Acc%=95.60]
Epoch 1:  80%|████████  | 1500/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.110, Acc%=95.60]
Epoch 1:  80%|████████  | 1500/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.171, Acc%=95.60]
Epoch 1:  80%|████████  | 1501/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.171, Acc%=95.60]
Epoch 1:  80%|████████  | 1501/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0573, Acc%=95.60]
Epoch 1:  80%|████████  | 1502/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0573, Acc%=95.60]
Epoch 1:  80%|████████  | 1502/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0606, Acc%=95.60]
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Epoch 1:  80%|████████  | 1503/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.392, Acc%=95.60]
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Epoch 1:  80%|████████  | 1504/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0411, Acc%=95.60]
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Epoch 1:  80%|████████  | 1505/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.149, Acc%=95.60]
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Epoch 1:  80%|████████  | 1506/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.122, Acc%=95.60]
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Epoch 1:  80%|████████  | 1507/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.114, Acc%=95.60]
Epoch 1:  80%|████████  | 1508/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.114, Acc%=95.60]
Epoch 1:  80%|████████  | 1508/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.023, Acc%=95.60]
Epoch 1:  80%|████████  | 1509/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.023, Acc%=95.60]
Epoch 1:  80%|████████  | 1509/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.203, Acc%=95.60]
Epoch 1:  81%|████████  | 1510/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.203, Acc%=95.60]
Epoch 1:  81%|████████  | 1510/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.121, Acc%=95.60]
Epoch 1:  81%|████████  | 1511/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.121, Acc%=95.60]
Epoch 1:  81%|████████  | 1511/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.394, Acc%=95.60]
Epoch 1:  81%|████████  | 1512/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.394, Acc%=95.60]
Epoch 1:  81%|████████  | 1512/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.177, Acc%=95.60]
Epoch 1:  81%|████████  | 1513/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.177, Acc%=95.60]
Epoch 1:  81%|████████  | 1513/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0342, Acc%=95.60]
Epoch 1:  81%|████████  | 1514/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0342, Acc%=95.60]
Epoch 1:  81%|████████  | 1514/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.188, Acc%=95.60]
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Epoch 1:  81%|████████  | 1515/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.145, Acc%=95.60]
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Epoch 1:  81%|████████  | 1516/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0564, Acc%=95.60]
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Epoch 1:  81%|████████  | 1517/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.073, Acc%=95.60]
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Epoch 1:  81%|████████  | 1518/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.253, Acc%=95.60]
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Epoch 1:  81%|████████  | 1519/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.125, Acc%=95.60]
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Epoch 1:  81%|████████  | 1521/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0577, Acc%=95.60]
Epoch 1:  81%|████████  | 1521/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0206, Acc%=95.60]
Epoch 1:  81%|████████  | 1522/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0206, Acc%=95.60]
Epoch 1:  81%|████████  | 1522/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0371, Acc%=95.60]
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Epoch 1:  81%|████████  | 1523/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.163, Acc%=95.60]
Epoch 1:  81%|████████▏ | 1524/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.163, Acc%=95.60]
Epoch 1:  81%|████████▏ | 1524/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0524, Acc%=95.60]
Epoch 1:  81%|████████▏ | 1525/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0524, Acc%=95.60]
Epoch 1:  81%|████████▏ | 1525/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.021, Acc%=95.60]
Epoch 1:  81%|████████▏ | 1526/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.021, Acc%=95.60]
Epoch 1:  81%|████████▏ | 1526/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.166, Acc%=95.60]
Epoch 1:  81%|████████▏ | 1527/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.166, Acc%=95.60]
Epoch 1:  81%|████████▏ | 1527/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.136, Acc%=95.60]
Epoch 1:  81%|████████▏ | 1528/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.136, Acc%=95.60]
Epoch 1:  81%|████████▏ | 1528/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0842, Acc%=95.60]
Epoch 1:  82%|████████▏ | 1529/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0842, Acc%=95.60]
Epoch 1:  82%|████████▏ | 1529/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.153, Acc%=95.60]
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Epoch 1:  82%|████████▏ | 1530/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.187, Acc%=95.60]
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Epoch 1:  82%|████████▏ | 1531/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.502, Acc%=95.60]
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Epoch 1:  82%|████████▏ | 1532/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0706, Acc%=95.60]
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Epoch 1:  82%|████████▏ | 1533/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0961, Acc%=95.60]
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Epoch 1:  82%|████████▏ | 1534/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0799, Acc%=95.60]
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Epoch 1:  82%|████████▏ | 1535/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0624, Acc%=95.60]
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Epoch 1:  82%|████████▏ | 1536/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0577, Acc%=95.60]
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Epoch 1:  82%|████████▏ | 1537/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0624, Acc%=95.60]
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Epoch 1:  82%|████████▏ | 1538/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0982, Acc%=95.60]
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Epoch 1:  82%|████████▏ | 1539/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0134, Acc%=95.60]
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Epoch 1:  82%|████████▏ | 1540/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.252, Acc%=95.60]
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Epoch 1:  82%|████████▏ | 1541/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0311, Acc%=95.60]
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Epoch 1:  82%|████████▏ | 1542/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.077, Acc%=95.60]
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Epoch 1:  82%|████████▏ | 1543/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.101, Acc%=95.60]
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Epoch 1:  82%|████████▏ | 1544/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0851, Acc%=95.60]
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Epoch 1:  82%|████████▏ | 1545/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0468, Acc%=95.60]
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Epoch 1:  82%|████████▏ | 1546/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.346, Acc%=95.60]
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Epoch 1:  83%|████████▎ | 1547/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0456, Acc%=95.60]
Epoch 1:  83%|████████▎ | 1548/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0456, Acc%=95.60]
Epoch 1:  83%|████████▎ | 1548/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.149, Acc%=95.60]
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Epoch 1:  83%|████████▎ | 1549/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0482, Acc%=95.60]
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Epoch 1:  83%|████████▎ | 1550/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0571, Acc%=95.60]
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Epoch 1:  83%|████████▎ | 1551/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0396, Acc%=95.60]
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Epoch 1:  83%|████████▎ | 1552/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0946, Acc%=95.60]
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Epoch 1:  83%|████████▎ | 1553/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.257, Acc%=95.60]
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Epoch 1:  83%|████████▎ | 1554/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.074, Acc%=95.60]
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Epoch 1:  83%|████████▎ | 1555/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.0917, Acc%=95.60]
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Epoch 1:  83%|████████▎ | 1556/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.128, Acc%=95.60]
Epoch 1:  83%|████████▎ | 1557/1875 [00:19<00:04, 78.59it/s, v_num=5, train_loss=0.128, Acc%=95.60]
Epoch 1:  83%|████████▎ | 1557/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.225, Acc%=95.60]
Epoch 1:  83%|████████▎ | 1558/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.225, Acc%=95.60]
Epoch 1:  83%|████████▎ | 1558/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.107, Acc%=95.60]
Epoch 1:  83%|████████▎ | 1559/1875 [00:19<00:04, 78.59it/s, v_num=5, train_loss=0.107, Acc%=95.60]
Epoch 1:  83%|████████▎ | 1559/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.281, Acc%=95.60]
Epoch 1:  83%|████████▎ | 1560/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.281, Acc%=95.60]
Epoch 1:  83%|████████▎ | 1560/1875 [00:19<00:04, 78.58it/s, v_num=5, train_loss=0.107, Acc%=95.60]
Epoch 1:  83%|████████▎ | 1561/1875 [00:19<00:03, 78.57it/s, v_num=5, train_loss=0.107, Acc%=95.60]
Epoch 1:  83%|████████▎ | 1561/1875 [00:19<00:03, 78.57it/s, v_num=5, train_loss=0.139, Acc%=95.60]
Epoch 1:  83%|████████▎ | 1562/1875 [00:19<00:03, 78.57it/s, v_num=5, train_loss=0.139, Acc%=95.60]
Epoch 1:  83%|████████▎ | 1562/1875 [00:19<00:03, 78.57it/s, v_num=5, train_loss=0.0504, Acc%=95.60]
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Epoch 1:  83%|████████▎ | 1563/1875 [00:19<00:03, 78.57it/s, v_num=5, train_loss=0.0767, Acc%=95.60]
Epoch 1:  83%|████████▎ | 1564/1875 [00:19<00:03, 78.57it/s, v_num=5, train_loss=0.0767, Acc%=95.60]
Epoch 1:  83%|████████▎ | 1564/1875 [00:19<00:03, 78.57it/s, v_num=5, train_loss=0.0291, Acc%=95.60]
Epoch 1:  83%|████████▎ | 1565/1875 [00:19<00:03, 78.57it/s, v_num=5, train_loss=0.0291, Acc%=95.60]
Epoch 1:  83%|████████▎ | 1565/1875 [00:19<00:03, 78.57it/s, v_num=5, train_loss=0.254, Acc%=95.60]
Epoch 1:  84%|████████▎ | 1566/1875 [00:19<00:03, 78.57it/s, v_num=5, train_loss=0.254, Acc%=95.60]
Epoch 1:  84%|████████▎ | 1566/1875 [00:19<00:03, 78.57it/s, v_num=5, train_loss=0.0295, Acc%=95.60]
Epoch 1:  84%|████████▎ | 1567/1875 [00:19<00:03, 78.57it/s, v_num=5, train_loss=0.0295, Acc%=95.60]
Epoch 1:  84%|████████▎ | 1567/1875 [00:19<00:03, 78.57it/s, v_num=5, train_loss=0.197, Acc%=95.60]
Epoch 1:  84%|████████▎ | 1568/1875 [00:19<00:03, 78.57it/s, v_num=5, train_loss=0.197, Acc%=95.60]
Epoch 1:  84%|████████▎ | 1568/1875 [00:19<00:03, 78.57it/s, v_num=5, train_loss=0.200, Acc%=95.60]
Epoch 1:  84%|████████▎ | 1569/1875 [00:19<00:03, 78.57it/s, v_num=5, train_loss=0.200, Acc%=95.60]
Epoch 1:  84%|████████▎ | 1569/1875 [00:19<00:03, 78.57it/s, v_num=5, train_loss=0.0212, Acc%=95.60]
Epoch 1:  84%|████████▎ | 1570/1875 [00:19<00:03, 78.57it/s, v_num=5, train_loss=0.0212, Acc%=95.60]
Epoch 1:  84%|████████▎ | 1570/1875 [00:19<00:03, 78.57it/s, v_num=5, train_loss=0.345, Acc%=95.60]
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Epoch 1:  84%|████████▍ | 1571/1875 [00:19<00:03, 78.57it/s, v_num=5, train_loss=0.00595, Acc%=95.60]
Epoch 1:  84%|████████▍ | 1572/1875 [00:20<00:03, 78.57it/s, v_num=5, train_loss=0.00595, Acc%=95.60]
Epoch 1:  84%|████████▍ | 1572/1875 [00:20<00:03, 78.57it/s, v_num=5, train_loss=0.0637, Acc%=95.60]
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Epoch 1:  84%|████████▍ | 1573/1875 [00:20<00:03, 78.57it/s, v_num=5, train_loss=0.247, Acc%=95.60]
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Epoch 1:  84%|████████▍ | 1574/1875 [00:20<00:03, 78.57it/s, v_num=5, train_loss=0.0316, Acc%=95.60]
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Epoch 1:  84%|████████▍ | 1575/1875 [00:20<00:03, 78.57it/s, v_num=5, train_loss=0.175, Acc%=95.60]
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Epoch 1:  84%|████████▍ | 1576/1875 [00:20<00:03, 78.57it/s, v_num=5, train_loss=0.164, Acc%=95.60]
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Epoch 1:  84%|████████▍ | 1577/1875 [00:20<00:03, 78.57it/s, v_num=5, train_loss=0.102, Acc%=95.60]
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Epoch 1:  84%|████████▍ | 1578/1875 [00:20<00:03, 78.57it/s, v_num=5, train_loss=0.0167, Acc%=95.60]
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Epoch 1:  84%|████████▍ | 1579/1875 [00:20<00:03, 78.57it/s, v_num=5, train_loss=0.154, Acc%=95.60]
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Epoch 1:  84%|████████▍ | 1580/1875 [00:20<00:03, 78.57it/s, v_num=5, train_loss=0.115, Acc%=95.60]
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Epoch 1:  85%|████████▍ | 1589/1875 [00:20<00:03, 78.57it/s, v_num=5, train_loss=0.114, Acc%=95.60]
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Epoch 1:  85%|████████▍ | 1591/1875 [00:20<00:03, 78.57it/s, v_num=5, train_loss=0.0358, Acc%=95.60]
Epoch 1:  85%|████████▍ | 1591/1875 [00:20<00:03, 78.57it/s, v_num=5, train_loss=0.224, Acc%=95.60]
Epoch 1:  85%|████████▍ | 1592/1875 [00:20<00:03, 78.57it/s, v_num=5, train_loss=0.224, Acc%=95.60]
Epoch 1:  85%|████████▍ | 1592/1875 [00:20<00:03, 78.57it/s, v_num=5, train_loss=0.0582, Acc%=95.60]
Epoch 1:  85%|████████▍ | 1593/1875 [00:20<00:03, 78.57it/s, v_num=5, train_loss=0.0582, Acc%=95.60]
Epoch 1:  85%|████████▍ | 1593/1875 [00:20<00:03, 78.57it/s, v_num=5, train_loss=0.0191, Acc%=95.60]
Epoch 1:  85%|████████▌ | 1594/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0191, Acc%=95.60]
Epoch 1:  85%|████████▌ | 1594/1875 [00:20<00:03, 78.57it/s, v_num=5, train_loss=0.0221, Acc%=95.60]
Epoch 1:  85%|████████▌ | 1595/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0221, Acc%=95.60]
Epoch 1:  85%|████████▌ | 1595/1875 [00:20<00:03, 78.57it/s, v_num=5, train_loss=0.0371, Acc%=95.60]
Epoch 1:  85%|████████▌ | 1596/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0371, Acc%=95.60]
Epoch 1:  85%|████████▌ | 1596/1875 [00:20<00:03, 78.57it/s, v_num=5, train_loss=0.091, Acc%=95.60]
Epoch 1:  85%|████████▌ | 1597/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.091, Acc%=95.60]
Epoch 1:  85%|████████▌ | 1597/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0465, Acc%=95.60]
Epoch 1:  85%|████████▌ | 1598/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0465, Acc%=95.60]
Epoch 1:  85%|████████▌ | 1598/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.115, Acc%=95.60]
Epoch 1:  85%|████████▌ | 1599/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.115, Acc%=95.60]
Epoch 1:  85%|████████▌ | 1599/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.191, Acc%=95.60]
Epoch 1:  85%|████████▌ | 1600/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.191, Acc%=95.60]
Epoch 1:  85%|████████▌ | 1600/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.129, Acc%=95.60]
Epoch 1:  85%|████████▌ | 1601/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.129, Acc%=95.60]
Epoch 1:  85%|████████▌ | 1601/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0426, Acc%=95.60]
Epoch 1:  85%|████████▌ | 1602/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0426, Acc%=95.60]
Epoch 1:  85%|████████▌ | 1602/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.354, Acc%=95.60]
Epoch 1:  85%|████████▌ | 1603/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.354, Acc%=95.60]
Epoch 1:  85%|████████▌ | 1603/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.158, Acc%=95.60]
Epoch 1:  86%|████████▌ | 1604/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.158, Acc%=95.60]
Epoch 1:  86%|████████▌ | 1604/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.279, Acc%=95.60]
Epoch 1:  86%|████████▌ | 1605/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.279, Acc%=95.60]
Epoch 1:  86%|████████▌ | 1605/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0518, Acc%=95.60]
Epoch 1:  86%|████████▌ | 1606/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0518, Acc%=95.60]
Epoch 1:  86%|████████▌ | 1606/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.489, Acc%=95.60]
Epoch 1:  86%|████████▌ | 1607/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.489, Acc%=95.60]
Epoch 1:  86%|████████▌ | 1607/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0315, Acc%=95.60]
Epoch 1:  86%|████████▌ | 1608/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0315, Acc%=95.60]
Epoch 1:  86%|████████▌ | 1608/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.175, Acc%=95.60]
Epoch 1:  86%|████████▌ | 1609/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.175, Acc%=95.60]
Epoch 1:  86%|████████▌ | 1609/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.176, Acc%=95.60]
Epoch 1:  86%|████████▌ | 1610/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.176, Acc%=95.60]
Epoch 1:  86%|████████▌ | 1610/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.312, Acc%=95.60]
Epoch 1:  86%|████████▌ | 1611/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.312, Acc%=95.60]
Epoch 1:  86%|████████▌ | 1611/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0861, Acc%=95.60]
Epoch 1:  86%|████████▌ | 1612/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0861, Acc%=95.60]
Epoch 1:  86%|████████▌ | 1612/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.516, Acc%=95.60]
Epoch 1:  86%|████████▌ | 1613/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.516, Acc%=95.60]
Epoch 1:  86%|████████▌ | 1613/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.100, Acc%=95.60]
Epoch 1:  86%|████████▌ | 1614/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.100, Acc%=95.60]
Epoch 1:  86%|████████▌ | 1614/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0599, Acc%=95.60]
Epoch 1:  86%|████████▌ | 1615/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0599, Acc%=95.60]
Epoch 1:  86%|████████▌ | 1615/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.181, Acc%=95.60]
Epoch 1:  86%|████████▌ | 1616/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.181, Acc%=95.60]
Epoch 1:  86%|████████▌ | 1616/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.228, Acc%=95.60]
Epoch 1:  86%|████████▌ | 1617/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.228, Acc%=95.60]
Epoch 1:  86%|████████▌ | 1617/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.191, Acc%=95.60]
Epoch 1:  86%|████████▋ | 1618/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.191, Acc%=95.60]
Epoch 1:  86%|████████▋ | 1618/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.275, Acc%=95.60]
Epoch 1:  86%|████████▋ | 1619/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.275, Acc%=95.60]
Epoch 1:  86%|████████▋ | 1619/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0338, Acc%=95.60]
Epoch 1:  86%|████████▋ | 1620/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0338, Acc%=95.60]
Epoch 1:  86%|████████▋ | 1620/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.237, Acc%=95.60]
Epoch 1:  86%|████████▋ | 1621/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.237, Acc%=95.60]
Epoch 1:  86%|████████▋ | 1621/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.128, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1622/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.128, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1622/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.126, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1623/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.126, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1623/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0177, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1624/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0177, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1624/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0229, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1625/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0229, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1625/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0263, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1626/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0263, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1626/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.397, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1627/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.397, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1627/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0283, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1628/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0283, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1628/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0502, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1629/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0502, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1629/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.00532, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1630/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.00532, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1630/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0534, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1631/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0534, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1631/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0506, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1632/1875 [00:20<00:03, 78.59it/s, v_num=5, train_loss=0.0506, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1632/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0518, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1633/1875 [00:20<00:03, 78.59it/s, v_num=5, train_loss=0.0518, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1633/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.358, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1634/1875 [00:20<00:03, 78.59it/s, v_num=5, train_loss=0.358, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1634/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.0626, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1635/1875 [00:20<00:03, 78.59it/s, v_num=5, train_loss=0.0626, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1635/1875 [00:20<00:03, 78.59it/s, v_num=5, train_loss=0.132, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1636/1875 [00:20<00:03, 78.59it/s, v_num=5, train_loss=0.132, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1636/1875 [00:20<00:03, 78.59it/s, v_num=5, train_loss=0.193, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1637/1875 [00:20<00:03, 78.59it/s, v_num=5, train_loss=0.193, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1637/1875 [00:20<00:03, 78.59it/s, v_num=5, train_loss=0.103, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1638/1875 [00:20<00:03, 78.59it/s, v_num=5, train_loss=0.103, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1638/1875 [00:20<00:03, 78.59it/s, v_num=5, train_loss=0.0962, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1639/1875 [00:20<00:03, 78.59it/s, v_num=5, train_loss=0.0962, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1639/1875 [00:20<00:03, 78.58it/s, v_num=5, train_loss=0.188, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1640/1875 [00:20<00:02, 78.58it/s, v_num=5, train_loss=0.188, Acc%=95.60]
Epoch 1:  87%|████████▋ | 1640/1875 [00:20<00:02, 78.58it/s, v_num=5, train_loss=0.154, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1641/1875 [00:20<00:02, 78.58it/s, v_num=5, train_loss=0.154, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1641/1875 [00:20<00:02, 78.58it/s, v_num=5, train_loss=0.0488, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1642/1875 [00:20<00:02, 78.58it/s, v_num=5, train_loss=0.0488, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1642/1875 [00:20<00:02, 78.58it/s, v_num=5, train_loss=0.185, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1643/1875 [00:20<00:02, 78.58it/s, v_num=5, train_loss=0.185, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1643/1875 [00:20<00:02, 78.58it/s, v_num=5, train_loss=0.0584, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1644/1875 [00:20<00:02, 78.58it/s, v_num=5, train_loss=0.0584, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1644/1875 [00:20<00:02, 78.58it/s, v_num=5, train_loss=0.468, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1645/1875 [00:20<00:02, 78.58it/s, v_num=5, train_loss=0.468, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1645/1875 [00:20<00:02, 78.58it/s, v_num=5, train_loss=0.298, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1646/1875 [00:20<00:02, 78.58it/s, v_num=5, train_loss=0.298, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1646/1875 [00:20<00:02, 78.58it/s, v_num=5, train_loss=0.086, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1647/1875 [00:20<00:02, 78.58it/s, v_num=5, train_loss=0.086, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1647/1875 [00:20<00:02, 78.58it/s, v_num=5, train_loss=0.104, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1648/1875 [00:20<00:02, 78.58it/s, v_num=5, train_loss=0.104, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1648/1875 [00:20<00:02, 78.58it/s, v_num=5, train_loss=0.0759, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1649/1875 [00:20<00:02, 78.58it/s, v_num=5, train_loss=0.0759, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1649/1875 [00:20<00:02, 78.58it/s, v_num=5, train_loss=0.0239, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1650/1875 [00:20<00:02, 78.58it/s, v_num=5, train_loss=0.0239, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1650/1875 [00:20<00:02, 78.58it/s, v_num=5, train_loss=0.159, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1651/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.159, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1651/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.128, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1652/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.128, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1652/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.146, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1653/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.146, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1653/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0378, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1654/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0378, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1654/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.222, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1655/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.222, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1655/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0709, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1656/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0709, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1656/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0656, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1657/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0656, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1657/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0229, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1658/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0229, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1658/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0797, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1659/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0797, Acc%=95.60]
Epoch 1:  88%|████████▊ | 1659/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0481, Acc%=95.60]
Epoch 1:  89%|████████▊ | 1660/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0481, Acc%=95.60]
Epoch 1:  89%|████████▊ | 1660/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0789, Acc%=95.60]
Epoch 1:  89%|████████▊ | 1661/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0789, Acc%=95.60]
Epoch 1:  89%|████████▊ | 1661/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0361, Acc%=95.60]
Epoch 1:  89%|████████▊ | 1662/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0361, Acc%=95.60]
Epoch 1:  89%|████████▊ | 1662/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0715, Acc%=95.60]
Epoch 1:  89%|████████▊ | 1663/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0715, Acc%=95.60]
Epoch 1:  89%|████████▊ | 1663/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0866, Acc%=95.60]
Epoch 1:  89%|████████▊ | 1664/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0866, Acc%=95.60]
Epoch 1:  89%|████████▊ | 1664/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.107, Acc%=95.60]
Epoch 1:  89%|████████▉ | 1665/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.107, Acc%=95.60]
Epoch 1:  89%|████████▉ | 1665/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.204, Acc%=95.60]
Epoch 1:  89%|████████▉ | 1666/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.204, Acc%=95.60]
Epoch 1:  89%|████████▉ | 1666/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.245, Acc%=95.60]
Epoch 1:  89%|████████▉ | 1667/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.245, Acc%=95.60]
Epoch 1:  89%|████████▉ | 1667/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0407, Acc%=95.60]
Epoch 1:  89%|████████▉ | 1668/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0407, Acc%=95.60]
Epoch 1:  89%|████████▉ | 1668/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.115, Acc%=95.60]
Epoch 1:  89%|████████▉ | 1669/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.115, Acc%=95.60]
Epoch 1:  89%|████████▉ | 1669/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.209, Acc%=95.60]
Epoch 1:  89%|████████▉ | 1670/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.209, Acc%=95.60]
Epoch 1:  89%|████████▉ | 1670/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.342, Acc%=95.60]
Epoch 1:  89%|████████▉ | 1671/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.342, Acc%=95.60]
Epoch 1:  89%|████████▉ | 1671/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.134, Acc%=95.60]
Epoch 1:  89%|████████▉ | 1672/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.134, Acc%=95.60]
Epoch 1:  89%|████████▉ | 1672/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.117, Acc%=95.60]
Epoch 1:  89%|████████▉ | 1673/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.117, Acc%=95.60]
Epoch 1:  89%|████████▉ | 1673/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.188, Acc%=95.60]
Epoch 1:  89%|████████▉ | 1674/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.188, Acc%=95.60]
Epoch 1:  89%|████████▉ | 1674/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.236, Acc%=95.60]
Epoch 1:  89%|████████▉ | 1675/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.236, Acc%=95.60]
Epoch 1:  89%|████████▉ | 1675/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0696, Acc%=95.60]
Epoch 1:  89%|████████▉ | 1676/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0696, Acc%=95.60]
Epoch 1:  89%|████████▉ | 1676/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.00205, Acc%=95.60]
Epoch 1:  89%|████████▉ | 1677/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.00205, Acc%=95.60]
Epoch 1:  89%|████████▉ | 1677/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.299, Acc%=95.60]
Epoch 1:  89%|████████▉ | 1678/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.299, Acc%=95.60]
Epoch 1:  89%|████████▉ | 1678/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.0364, Acc%=95.60]
Epoch 1:  90%|████████▉ | 1679/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0364, Acc%=95.60]
Epoch 1:  90%|████████▉ | 1679/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.157, Acc%=95.60]
Epoch 1:  90%|████████▉ | 1680/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.157, Acc%=95.60]
Epoch 1:  90%|████████▉ | 1680/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.148, Acc%=95.60]
Epoch 1:  90%|████████▉ | 1681/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.148, Acc%=95.60]
Epoch 1:  90%|████████▉ | 1681/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.0984, Acc%=95.60]
Epoch 1:  90%|████████▉ | 1682/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.0984, Acc%=95.60]
Epoch 1:  90%|████████▉ | 1682/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.0691, Acc%=95.60]
Epoch 1:  90%|████████▉ | 1683/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0691, Acc%=95.60]
Epoch 1:  90%|████████▉ | 1683/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.0411, Acc%=95.60]
Epoch 1:  90%|████████▉ | 1684/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0411, Acc%=95.60]
Epoch 1:  90%|████████▉ | 1684/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.0491, Acc%=95.60]
Epoch 1:  90%|████████▉ | 1685/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0491, Acc%=95.60]
Epoch 1:  90%|████████▉ | 1685/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.261, Acc%=95.60]
Epoch 1:  90%|████████▉ | 1686/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.261, Acc%=95.60]
Epoch 1:  90%|████████▉ | 1686/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.202, Acc%=95.60]
Epoch 1:  90%|████████▉ | 1687/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.202, Acc%=95.60]
Epoch 1:  90%|████████▉ | 1687/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.152, Acc%=95.60]
Epoch 1:  90%|█████████ | 1688/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.152, Acc%=95.60]
Epoch 1:  90%|█████████ | 1688/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.0415, Acc%=95.60]
Epoch 1:  90%|█████████ | 1689/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.0415, Acc%=95.60]
Epoch 1:  90%|█████████ | 1689/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.0673, Acc%=95.60]
Epoch 1:  90%|█████████ | 1690/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.0673, Acc%=95.60]
Epoch 1:  90%|█████████ | 1690/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.118, Acc%=95.60]
Epoch 1:  90%|█████████ | 1691/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.118, Acc%=95.60]
Epoch 1:  90%|█████████ | 1691/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.105, Acc%=95.60]
Epoch 1:  90%|█████████ | 1692/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.105, Acc%=95.60]
Epoch 1:  90%|█████████ | 1692/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.168, Acc%=95.60]
Epoch 1:  90%|█████████ | 1693/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.168, Acc%=95.60]
Epoch 1:  90%|█████████ | 1693/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.127, Acc%=95.60]
Epoch 1:  90%|█████████ | 1694/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.127, Acc%=95.60]
Epoch 1:  90%|█████████ | 1694/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.176, Acc%=95.60]
Epoch 1:  90%|█████████ | 1695/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.176, Acc%=95.60]
Epoch 1:  90%|█████████ | 1695/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.116, Acc%=95.60]
Epoch 1:  90%|█████████ | 1696/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.116, Acc%=95.60]
Epoch 1:  90%|█████████ | 1696/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.0486, Acc%=95.60]
Epoch 1:  91%|█████████ | 1697/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.0486, Acc%=95.60]
Epoch 1:  91%|█████████ | 1697/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.0302, Acc%=95.60]
Epoch 1:  91%|█████████ | 1698/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.0302, Acc%=95.60]
Epoch 1:  91%|█████████ | 1698/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.0626, Acc%=95.60]
Epoch 1:  91%|█████████ | 1699/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0626, Acc%=95.60]
Epoch 1:  91%|█████████ | 1699/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.322, Acc%=95.60]
Epoch 1:  91%|█████████ | 1700/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.322, Acc%=95.60]
Epoch 1:  91%|█████████ | 1700/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.0575, Acc%=95.60]
Epoch 1:  91%|█████████ | 1701/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0575, Acc%=95.60]
Epoch 1:  91%|█████████ | 1701/1875 [00:21<00:02, 78.57it/s, v_num=5, train_loss=0.256, Acc%=95.60]
Epoch 1:  91%|█████████ | 1702/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.256, Acc%=95.60]
Epoch 1:  91%|█████████ | 1702/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.133, Acc%=95.60]
Epoch 1:  91%|█████████ | 1703/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.133, Acc%=95.60]
Epoch 1:  91%|█████████ | 1703/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.238, Acc%=95.60]
Epoch 1:  91%|█████████ | 1704/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.238, Acc%=95.60]
Epoch 1:  91%|█████████ | 1704/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.316, Acc%=95.60]
Epoch 1:  91%|█████████ | 1705/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.316, Acc%=95.60]
Epoch 1:  91%|█████████ | 1705/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.324, Acc%=95.60]
Epoch 1:  91%|█████████ | 1706/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.324, Acc%=95.60]
Epoch 1:  91%|█████████ | 1706/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.245, Acc%=95.60]
Epoch 1:  91%|█████████ | 1707/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.245, Acc%=95.60]
Epoch 1:  91%|█████████ | 1707/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.324, Acc%=95.60]
Epoch 1:  91%|█████████ | 1708/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.324, Acc%=95.60]
Epoch 1:  91%|█████████ | 1708/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0583, Acc%=95.60]
Epoch 1:  91%|█████████ | 1709/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0583, Acc%=95.60]
Epoch 1:  91%|█████████ | 1709/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0907, Acc%=95.60]
Epoch 1:  91%|█████████ | 1710/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0907, Acc%=95.60]
Epoch 1:  91%|█████████ | 1710/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.103, Acc%=95.60]
Epoch 1:  91%|█████████▏| 1711/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.103, Acc%=95.60]
Epoch 1:  91%|█████████▏| 1711/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0615, Acc%=95.60]
Epoch 1:  91%|█████████▏| 1712/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0615, Acc%=95.60]
Epoch 1:  91%|█████████▏| 1712/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.266, Acc%=95.60]
Epoch 1:  91%|█████████▏| 1713/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.266, Acc%=95.60]
Epoch 1:  91%|█████████▏| 1713/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0472, Acc%=95.60]
Epoch 1:  91%|█████████▏| 1714/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0472, Acc%=95.60]
Epoch 1:  91%|█████████▏| 1714/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0192, Acc%=95.60]
Epoch 1:  91%|█████████▏| 1715/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0192, Acc%=95.60]
Epoch 1:  91%|█████████▏| 1715/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0265, Acc%=95.60]
Epoch 1:  92%|█████████▏| 1716/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0265, Acc%=95.60]
Epoch 1:  92%|█████████▏| 1716/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.168, Acc%=95.60]
Epoch 1:  92%|█████████▏| 1717/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.168, Acc%=95.60]
Epoch 1:  92%|█████████▏| 1717/1875 [00:21<00:02, 78.58it/s, v_num=5, train_loss=0.0304, Acc%=95.60]
Epoch 1:  92%|█████████▏| 1718/1875 [00:21<00:01, 78.58it/s, v_num=5, train_loss=0.0304, Acc%=95.60]
Epoch 1:  92%|█████████▏| 1718/1875 [00:21<00:01, 78.58it/s, v_num=5, train_loss=0.0831, Acc%=95.60]
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Epoch 1:  92%|█████████▏| 1719/1875 [00:21<00:01, 78.58it/s, v_num=5, train_loss=0.119, Acc%=95.60]
Epoch 1:  92%|█████████▏| 1720/1875 [00:21<00:01, 78.58it/s, v_num=5, train_loss=0.119, Acc%=95.60]
Epoch 1:  92%|█████████▏| 1720/1875 [00:21<00:01, 78.58it/s, v_num=5, train_loss=0.0829, Acc%=95.60]
Epoch 1:  92%|█████████▏| 1721/1875 [00:21<00:01, 78.58it/s, v_num=5, train_loss=0.0829, Acc%=95.60]
Epoch 1:  92%|█████████▏| 1721/1875 [00:21<00:01, 78.58it/s, v_num=5, train_loss=0.0796, Acc%=95.60]
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Epoch 1:  92%|█████████▏| 1722/1875 [00:21<00:01, 78.58it/s, v_num=5, train_loss=0.0417, Acc%=95.60]
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Epoch 1:  92%|█████████▏| 1723/1875 [00:21<00:01, 78.58it/s, v_num=5, train_loss=0.0196, Acc%=95.60]
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Epoch 1:  92%|█████████▏| 1724/1875 [00:21<00:01, 78.58it/s, v_num=5, train_loss=0.187, Acc%=95.60]
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Epoch 1:  92%|█████████▏| 1725/1875 [00:21<00:01, 78.58it/s, v_num=5, train_loss=0.201, Acc%=95.60]
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Epoch 1:  92%|█████████▏| 1726/1875 [00:21<00:01, 78.57it/s, v_num=5, train_loss=0.229, Acc%=95.60]
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Epoch 1:  92%|█████████▏| 1727/1875 [00:21<00:01, 78.57it/s, v_num=5, train_loss=0.129, Acc%=95.60]
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Epoch 1:  92%|█████████▏| 1728/1875 [00:21<00:01, 78.57it/s, v_num=5, train_loss=0.122, Acc%=95.60]
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Epoch 1:  92%|█████████▏| 1729/1875 [00:22<00:01, 78.57it/s, v_num=5, train_loss=0.0145, Acc%=95.60]
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Epoch 1:  92%|█████████▏| 1730/1875 [00:22<00:01, 78.58it/s, v_num=5, train_loss=0.076, Acc%=95.60]
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Epoch 1:  92%|█████████▏| 1731/1875 [00:22<00:01, 78.58it/s, v_num=5, train_loss=0.0596, Acc%=95.60]
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Epoch 1:  92%|█████████▏| 1733/1875 [00:22<00:01, 78.58it/s, v_num=5, train_loss=0.0928, Acc%=95.60]
Epoch 1:  92%|█████████▏| 1733/1875 [00:22<00:01, 78.58it/s, v_num=5, train_loss=0.278, Acc%=95.60]
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Epoch 1:  92%|█████████▏| 1734/1875 [00:22<00:01, 78.58it/s, v_num=5, train_loss=0.233, Acc%=95.60]
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Epoch 1:  93%|█████████▎| 1735/1875 [00:22<00:01, 78.58it/s, v_num=5, train_loss=0.188, Acc%=95.60]
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Epoch 1:  93%|█████████▎| 1736/1875 [00:22<00:01, 78.58it/s, v_num=5, train_loss=0.115, Acc%=95.60]
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Epoch 1:  93%|█████████▎| 1737/1875 [00:22<00:01, 78.58it/s, v_num=5, train_loss=0.0328, Acc%=95.60]
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Epoch 1:  93%|█████████▎| 1739/1875 [00:22<00:01, 78.58it/s, v_num=5, train_loss=0.152, Acc%=95.60]
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Epoch 1:  93%|█████████▎| 1740/1875 [00:22<00:01, 78.58it/s, v_num=5, train_loss=0.211, Acc%=95.60]
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Epoch 1:  93%|█████████▎| 1742/1875 [00:22<00:01, 78.58it/s, v_num=5, train_loss=0.121, Acc%=95.60]
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Epoch 1:  93%|█████████▎| 1744/1875 [00:22<00:01, 78.58it/s, v_num=5, train_loss=0.217, Acc%=95.60]
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Epoch 1:  93%|█████████▎| 1745/1875 [00:22<00:01, 78.58it/s, v_num=5, train_loss=0.0353, Acc%=95.60]
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Epoch 1:  93%|█████████▎| 1747/1875 [00:22<00:01, 78.58it/s, v_num=5, train_loss=0.110, Acc%=95.60]
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Epoch 1:  93%|█████████▎| 1750/1875 [00:22<00:01, 78.58it/s, v_num=5, train_loss=0.156, Acc%=95.60]
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Epoch 1:  93%|█████████▎| 1752/1875 [00:22<00:01, 78.58it/s, v_num=5, train_loss=0.263, Acc%=95.60]
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Epoch 1:  94%|█████████▎| 1756/1875 [00:22<00:01, 78.58it/s, v_num=5, train_loss=0.241, Acc%=95.60]
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Epoch 1:  94%|█████████▍| 1759/1875 [00:22<00:01, 78.58it/s, v_num=5, train_loss=0.262, Acc%=95.60]
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Epoch 1:  94%|█████████▍| 1760/1875 [00:22<00:01, 78.58it/s, v_num=5, train_loss=0.114, Acc%=95.60]
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Epoch 1:  94%|█████████▍| 1761/1875 [00:22<00:01, 78.58it/s, v_num=5, train_loss=0.0785, Acc%=95.60]
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Epoch 1:  94%|█████████▍| 1762/1875 [00:22<00:01, 78.58it/s, v_num=5, train_loss=0.171, Acc%=95.60]
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Epoch 1:  94%|█████████▍| 1763/1875 [00:22<00:01, 78.58it/s, v_num=5, train_loss=0.0607, Acc%=95.60]
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Epoch 1:  94%|█████████▍| 1764/1875 [00:22<00:01, 78.58it/s, v_num=5, train_loss=0.162, Acc%=95.60]
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Epoch 1:  94%|█████████▍| 1765/1875 [00:22<00:01, 78.58it/s, v_num=5, train_loss=0.239, Acc%=95.60]
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Epoch 1:  96%|█████████▌| 1797/1875 [00:22<00:00, 78.59it/s, v_num=5, train_loss=0.0584, Acc%=95.60]
Epoch 1:  96%|█████████▌| 1798/1875 [00:22<00:00, 78.59it/s, v_num=5, train_loss=0.0584, Acc%=95.60]
Epoch 1:  96%|█████████▌| 1798/1875 [00:22<00:00, 78.59it/s, v_num=5, train_loss=0.00936, Acc%=95.60]
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Epoch 1:  96%|█████████▌| 1799/1875 [00:22<00:00, 78.59it/s, v_num=5, train_loss=0.0991, Acc%=95.60]
Epoch 1:  96%|█████████▌| 1800/1875 [00:22<00:00, 78.59it/s, v_num=5, train_loss=0.0991, Acc%=95.60]
Epoch 1:  96%|█████████▌| 1800/1875 [00:22<00:00, 78.59it/s, v_num=5, train_loss=0.179, Acc%=95.60]
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Epoch 1:  96%|█████████▌| 1801/1875 [00:22<00:00, 78.59it/s, v_num=5, train_loss=0.0615, Acc%=95.60]
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Epoch 1:  96%|█████████▌| 1802/1875 [00:22<00:00, 78.59it/s, v_num=5, train_loss=0.0479, Acc%=95.60]
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Epoch 1:  96%|█████████▌| 1804/1875 [00:22<00:00, 78.59it/s, v_num=5, train_loss=0.0884, Acc%=95.60]
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Epoch 1:  96%|█████████▋| 1807/1875 [00:22<00:00, 78.59it/s, v_num=5, train_loss=0.326, Acc%=95.60]
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Epoch 1:  97%|█████████▋| 1810/1875 [00:23<00:00, 78.59it/s, v_num=5, train_loss=0.0363, Acc%=95.60]
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Epoch 1:  97%|█████████▋| 1811/1875 [00:23<00:00, 78.59it/s, v_num=5, train_loss=0.171, Acc%=95.60]
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Epoch 1:  97%|█████████▋| 1820/1875 [00:23<00:00, 78.59it/s, v_num=5, train_loss=0.368, Acc%=95.60]
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Epoch 1:  97%|█████████▋| 1821/1875 [00:23<00:00, 78.59it/s, v_num=5, train_loss=0.174, Acc%=95.60]
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Epoch 1:  97%|█████████▋| 1822/1875 [00:23<00:00, 78.59it/s, v_num=5, train_loss=0.0101, Acc%=95.60]
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Epoch 1:  97%|█████████▋| 1824/1875 [00:23<00:00, 78.59it/s, v_num=5, train_loss=0.243, Acc%=95.60]
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Epoch 1:  97%|█████████▋| 1827/1875 [00:23<00:00, 78.59it/s, v_num=5, train_loss=0.279, Acc%=95.60]
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Epoch 1: 100%|██████████| 1875/1875 [00:26<00:00, 70.69it/s, v_num=5, train_loss=0.179, Acc%=97.10]
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Epoch 1: 100%|██████████| 1875/1875 [00:26<00:00, 70.68it/s, v_num=5, train_loss=0.179, Acc%=97.10]

Evaluate the trained model on the test set - pay attention to the cls/Acc metric

perf = trainer.test(routine, dataloaders=[test_dl, ood_dl])

/opt/hostedtoolcache/Python/3.10.15/x64/lib/python3.10/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:424: The 'test_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=3` in the `DataLoader` to improve performance.

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┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ Test metric  ┃      Classification       ┃
┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
│     Acc      │          97.14%           │
│    Brier     │          0.04530          │
│   Entropy    │          0.09925          │
│     NLL      │          0.09610          │
└──────────────┴───────────────────────────┘
┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ Test metric  ┃        Calibration        ┃
┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
│     ECE      │          0.00486          │
│     aECE     │          0.00494          │
└──────────────┴───────────────────────────┘
┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ Test metric  ┃       OOD Detection       ┃
┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
│     AUPR     │          91.98%           │
│    AUROC     │          93.23%           │
│   Entropy    │          0.94508          │
│    FPR95     │          25.75%           │
└──────────────┴───────────────────────────┘
┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ Test metric  ┃ Selective Classification  ┃
┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
│    AUGRC     │           0.20%           │
│     AURC     │           0.23%           │
│  Cov@5Risk   │          100.00%          │
│  Risk@80Cov  │           0.28%           │
└──────────────┴───────────────────────────┘

This table provides a lot of information:

OOD Detection: Binary Classification MNIST vs. FashionMNIST - AUPR/AUROC/FPR95: Measures the quality of the OOD detection. The higher the better for AUPR and AUROC, the lower the better for FPR95.

Calibration: Reliability of the Predictions - ECE: Expected Calibration Error. The lower the better. - aECE: Adaptive Expected Calibration Error. The lower the better. (~More precise version of the ECE)

Classification Performance - Accuracy: The ratio of correctly classified images. The higher the better. - Brier: The quality of the predicted probabilities (Mean Squared Error of the predictions vs. ground-truth). The lower the better. - Negative Log-Likelihood: The value of the loss on the test set. The lower the better.

Selective Classification & Grouping Loss - We talk about these points later in the “To go further” section.

3. Training an ensemble of models with TorchUncertainty

You have two options here, you can either train the ensemble directly if you have enough memory, otherwise, you can train independent models and do the ensembling during the evaluation (sometimes called inference).

In this case, we will do it sequentially. In this tutorial, you have the choice between training multiple models, which will take time if you have no GPU, or downloading the pre-trained models that we have prepared for you.

Training the ensemble

To train the ensemble, you will have to use the “deep_ensembles” function from TorchUncertainty, which will replicate and change the initialization of your networks to ensure diversity.

from torch_uncertainty.models import deep_ensembles
from torch_uncertainty.transforms import RepeatTarget

# Create the ensemble model
ensemble = deep_ensembles(
    LeNet(in_channels=1, num_classes=10),
    num_estimators=2,
    task="classification",
    reset_model_parameters=True,
)

trainer = TUTrainer(accelerator="cpu", max_epochs=1)
ens_routine = ClassificationRoutine(
    is_ensemble=True,
    num_classes=10,
    model=ensemble,
    loss=nn.CrossEntropyLoss(),  # The loss for the training
    format_batch_fn=RepeatTarget(
        2
    ),  # How to handle the targets when comparing the predictions
    optim_recipe=optim_recipe(
        ensemble, 2.0
    ),  # The optimization scheme with the optimizer and the scheduler as a dictionnary
    eval_ood=True,  # We want to evaluate the OOD-related metrics
)
trainer.fit(ens_routine, train_dataloaders=train_dl, val_dataloaders=test_dl)
ens_perf = trainer.test(ens_routine, dataloaders=[test_dl, ood_dl])

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Epoch 0:   2%|▏         | 30/1875 [00:00<00:29, 61.72it/s, v_num=6, train_loss=2.280]
Epoch 0:   2%|▏         | 31/1875 [00:00<00:29, 61.76it/s, v_num=6, train_loss=2.280]
Epoch 0:   2%|▏         | 31/1875 [00:00<00:29, 61.73it/s, v_num=6, train_loss=2.290]
Epoch 0:   2%|▏         | 32/1875 [00:00<00:29, 61.77it/s, v_num=6, train_loss=2.290]
Epoch 0:   2%|▏         | 32/1875 [00:00<00:29, 61.74it/s, v_num=6, train_loss=2.310]
Epoch 0:   2%|▏         | 33/1875 [00:00<00:29, 61.78it/s, v_num=6, train_loss=2.310]
Epoch 0:   2%|▏         | 33/1875 [00:00<00:29, 61.76it/s, v_num=6, train_loss=2.300]
Epoch 0:   2%|▏         | 34/1875 [00:00<00:29, 61.77it/s, v_num=6, train_loss=2.300]
Epoch 0:   2%|▏         | 34/1875 [00:00<00:29, 61.75it/s, v_num=6, train_loss=2.280]
Epoch 0:   2%|▏         | 35/1875 [00:00<00:29, 61.78it/s, v_num=6, train_loss=2.280]
Epoch 0:   2%|▏         | 35/1875 [00:00<00:29, 61.75it/s, v_num=6, train_loss=2.290]
Epoch 0:   2%|▏         | 36/1875 [00:00<00:29, 61.78it/s, v_num=6, train_loss=2.290]
Epoch 0:   2%|▏         | 36/1875 [00:00<00:29, 61.75it/s, v_num=6, train_loss=2.300]
Epoch 0:   2%|▏         | 37/1875 [00:00<00:29, 61.74it/s, v_num=6, train_loss=2.300]
Epoch 0:   2%|▏         | 37/1875 [00:00<00:29, 61.71it/s, v_num=6, train_loss=2.290]
Epoch 0:   2%|▏         | 38/1875 [00:00<00:29, 61.69it/s, v_num=6, train_loss=2.290]
Epoch 0:   2%|▏         | 38/1875 [00:00<00:29, 61.67it/s, v_num=6, train_loss=2.290]
Epoch 0:   2%|▏         | 39/1875 [00:00<00:29, 61.63it/s, v_num=6, train_loss=2.290]
Epoch 0:   2%|▏         | 39/1875 [00:00<00:29, 61.60it/s, v_num=6, train_loss=2.310]
Epoch 0:   2%|▏         | 40/1875 [00:00<00:29, 61.59it/s, v_num=6, train_loss=2.310]
Epoch 0:   2%|▏         | 40/1875 [00:00<00:29, 61.57it/s, v_num=6, train_loss=2.280]
Epoch 0:   2%|▏         | 41/1875 [00:00<00:29, 61.56it/s, v_num=6, train_loss=2.280]
Epoch 0:   2%|▏         | 41/1875 [00:00<00:29, 61.54it/s, v_num=6, train_loss=2.310]
Epoch 0:   2%|▏         | 42/1875 [00:00<00:29, 61.51it/s, v_num=6, train_loss=2.310]
Epoch 0:   2%|▏         | 42/1875 [00:00<00:29, 61.49it/s, v_num=6, train_loss=2.290]
Epoch 0:   2%|▏         | 43/1875 [00:00<00:29, 61.50it/s, v_num=6, train_loss=2.290]
Epoch 0:   2%|▏         | 43/1875 [00:00<00:29, 61.48it/s, v_num=6, train_loss=2.290]
Epoch 0:   2%|▏         | 44/1875 [00:00<00:29, 61.50it/s, v_num=6, train_loss=2.290]
Epoch 0:   2%|▏         | 44/1875 [00:00<00:29, 61.48it/s, v_num=6, train_loss=2.290]
Epoch 0:   2%|▏         | 45/1875 [00:00<00:29, 61.51it/s, v_num=6, train_loss=2.290]
Epoch 0:   2%|▏         | 45/1875 [00:00<00:29, 61.49it/s, v_num=6, train_loss=2.280]
Epoch 0:   2%|▏         | 46/1875 [00:00<00:29, 61.51it/s, v_num=6, train_loss=2.280]
Epoch 0:   2%|▏         | 46/1875 [00:00<00:29, 61.49it/s, v_num=6, train_loss=2.280]
Epoch 0:   3%|▎         | 47/1875 [00:00<00:29, 61.52it/s, v_num=6, train_loss=2.280]
Epoch 0:   3%|▎         | 47/1875 [00:00<00:29, 61.50it/s, v_num=6, train_loss=2.280]
Epoch 0:   3%|▎         | 48/1875 [00:00<00:29, 61.46it/s, v_num=6, train_loss=2.280]
Epoch 0:   3%|▎         | 48/1875 [00:00<00:29, 61.44it/s, v_num=6, train_loss=2.260]
Epoch 0:   3%|▎         | 49/1875 [00:00<00:29, 61.46it/s, v_num=6, train_loss=2.260]
Epoch 0:   3%|▎         | 49/1875 [00:00<00:29, 61.44it/s, v_num=6, train_loss=2.270]
Epoch 0:   3%|▎         | 50/1875 [00:00<00:29, 61.46it/s, v_num=6, train_loss=2.270]
Epoch 0:   3%|▎         | 50/1875 [00:00<00:29, 61.45it/s, v_num=6, train_loss=2.320]
Epoch 0:   3%|▎         | 51/1875 [00:00<00:29, 61.42it/s, v_num=6, train_loss=2.320]
Epoch 0:   3%|▎         | 51/1875 [00:00<00:29, 61.40it/s, v_num=6, train_loss=2.270]
Epoch 0:   3%|▎         | 52/1875 [00:00<00:29, 61.43it/s, v_num=6, train_loss=2.270]
Epoch 0:   3%|▎         | 52/1875 [00:00<00:29, 61.41it/s, v_num=6, train_loss=2.290]
Epoch 0:   3%|▎         | 53/1875 [00:00<00:29, 61.43it/s, v_num=6, train_loss=2.290]
Epoch 0:   3%|▎         | 53/1875 [00:00<00:29, 61.42it/s, v_num=6, train_loss=2.290]
Epoch 0:   3%|▎         | 54/1875 [00:00<00:29, 61.42it/s, v_num=6, train_loss=2.290]
Epoch 0:   3%|▎         | 54/1875 [00:00<00:29, 61.41it/s, v_num=6, train_loss=2.280]
Epoch 0:   3%|▎         | 55/1875 [00:00<00:29, 61.43it/s, v_num=6, train_loss=2.280]
Epoch 0:   3%|▎         | 55/1875 [00:00<00:29, 61.42it/s, v_num=6, train_loss=2.290]
Epoch 0:   3%|▎         | 56/1875 [00:00<00:29, 61.44it/s, v_num=6, train_loss=2.290]
Epoch 0:   3%|▎         | 56/1875 [00:00<00:29, 61.42it/s, v_num=6, train_loss=2.300]
Epoch 0:   3%|▎         | 57/1875 [00:00<00:29, 61.45it/s, v_num=6, train_loss=2.300]
Epoch 0:   3%|▎         | 57/1875 [00:00<00:29, 61.43it/s, v_num=6, train_loss=2.280]
Epoch 0:   3%|▎         | 58/1875 [00:00<00:29, 61.45it/s, v_num=6, train_loss=2.280]
Epoch 0:   3%|▎         | 58/1875 [00:00<00:29, 61.44it/s, v_num=6, train_loss=2.270]
Epoch 0:   3%|▎         | 59/1875 [00:00<00:29, 61.46it/s, v_num=6, train_loss=2.270]
Epoch 0:   3%|▎         | 59/1875 [00:00<00:29, 61.45it/s, v_num=6, train_loss=2.230]
Epoch 0:   3%|▎         | 60/1875 [00:00<00:29, 61.47it/s, v_num=6, train_loss=2.230]
Epoch 0:   3%|▎         | 60/1875 [00:00<00:29, 61.45it/s, v_num=6, train_loss=2.280]
Epoch 0:   3%|▎         | 61/1875 [00:00<00:29, 61.47it/s, v_num=6, train_loss=2.280]
Epoch 0:   3%|▎         | 61/1875 [00:00<00:29, 61.46it/s, v_num=6, train_loss=2.270]
Epoch 0:   3%|▎         | 62/1875 [00:01<00:29, 61.46it/s, v_num=6, train_loss=2.270]
Epoch 0:   3%|▎         | 62/1875 [00:01<00:29, 61.44it/s, v_num=6, train_loss=2.260]
Epoch 0:   3%|▎         | 63/1875 [00:01<00:29, 61.46it/s, v_num=6, train_loss=2.260]
Epoch 0:   3%|▎         | 63/1875 [00:01<00:29, 61.45it/s, v_num=6, train_loss=2.280]
Epoch 0:   3%|▎         | 64/1875 [00:01<00:29, 61.46it/s, v_num=6, train_loss=2.280]
Epoch 0:   3%|▎         | 64/1875 [00:01<00:29, 61.45it/s, v_num=6, train_loss=2.260]
Epoch 0:   3%|▎         | 65/1875 [00:01<00:29, 61.46it/s, v_num=6, train_loss=2.260]
Epoch 0:   3%|▎         | 65/1875 [00:01<00:29, 61.45it/s, v_num=6, train_loss=2.240]
Epoch 0:   4%|▎         | 66/1875 [00:01<00:29, 61.46it/s, v_num=6, train_loss=2.240]
Epoch 0:   4%|▎         | 66/1875 [00:01<00:29, 61.45it/s, v_num=6, train_loss=2.250]
Epoch 0:   4%|▎         | 67/1875 [00:01<00:29, 61.47it/s, v_num=6, train_loss=2.250]
Epoch 0:   4%|▎         | 67/1875 [00:01<00:29, 61.45it/s, v_num=6, train_loss=2.260]
Epoch 0:   4%|▎         | 68/1875 [00:01<00:29, 61.47it/s, v_num=6, train_loss=2.260]
Epoch 0:   4%|▎         | 68/1875 [00:01<00:29, 61.46it/s, v_num=6, train_loss=2.260]
Epoch 0:   4%|▎         | 69/1875 [00:01<00:29, 61.48it/s, v_num=6, train_loss=2.260]
Epoch 0:   4%|▎         | 69/1875 [00:01<00:29, 61.47it/s, v_num=6, train_loss=2.250]
Epoch 0:   4%|▎         | 70/1875 [00:01<00:29, 61.49it/s, v_num=6, train_loss=2.250]
Epoch 0:   4%|▎         | 70/1875 [00:01<00:29, 61.48it/s, v_num=6, train_loss=2.290]
Epoch 0:   4%|▍         | 71/1875 [00:01<00:29, 61.49it/s, v_num=6, train_loss=2.290]
Epoch 0:   4%|▍         | 71/1875 [00:01<00:29, 61.48it/s, v_num=6, train_loss=2.240]
Epoch 0:   4%|▍         | 72/1875 [00:01<00:29, 61.50it/s, v_num=6, train_loss=2.240]
Epoch 0:   4%|▍         | 72/1875 [00:01<00:29, 61.48it/s, v_num=6, train_loss=2.270]
Epoch 0:   4%|▍         | 73/1875 [00:01<00:29, 61.50it/s, v_num=6, train_loss=2.270]
Epoch 0:   4%|▍         | 73/1875 [00:01<00:29, 61.49it/s, v_num=6, train_loss=2.230]
Epoch 0:   4%|▍         | 74/1875 [00:01<00:29, 61.51it/s, v_num=6, train_loss=2.230]
Epoch 0:   4%|▍         | 74/1875 [00:01<00:29, 61.50it/s, v_num=6, train_loss=2.250]
Epoch 0:   4%|▍         | 75/1875 [00:01<00:29, 61.52it/s, v_num=6, train_loss=2.250]
Epoch 0:   4%|▍         | 75/1875 [00:01<00:29, 61.51it/s, v_num=6, train_loss=2.270]
Epoch 0:   4%|▍         | 76/1875 [00:01<00:29, 61.53it/s, v_num=6, train_loss=2.270]
Epoch 0:   4%|▍         | 76/1875 [00:01<00:29, 61.52it/s, v_num=6, train_loss=2.250]
Epoch 0:   4%|▍         | 77/1875 [00:01<00:29, 61.54it/s, v_num=6, train_loss=2.250]
Epoch 0:   4%|▍         | 77/1875 [00:01<00:29, 61.53it/s, v_num=6, train_loss=2.230]
Epoch 0:   4%|▍         | 78/1875 [00:01<00:29, 61.54it/s, v_num=6, train_loss=2.230]
Epoch 0:   4%|▍         | 78/1875 [00:01<00:29, 61.53it/s, v_num=6, train_loss=2.240]
Epoch 0:   4%|▍         | 79/1875 [00:01<00:29, 61.55it/s, v_num=6, train_loss=2.240]
Epoch 0:   4%|▍         | 79/1875 [00:01<00:29, 61.54it/s, v_num=6, train_loss=2.270]
Epoch 0:   4%|▍         | 80/1875 [00:01<00:29, 61.55it/s, v_num=6, train_loss=2.270]
Epoch 0:   4%|▍         | 80/1875 [00:01<00:29, 61.54it/s, v_num=6, train_loss=2.190]
Epoch 0:   4%|▍         | 81/1875 [00:01<00:29, 61.56it/s, v_num=6, train_loss=2.190]
Epoch 0:   4%|▍         | 81/1875 [00:01<00:29, 61.55it/s, v_num=6, train_loss=2.280]
Epoch 0:   4%|▍         | 82/1875 [00:01<00:29, 61.56it/s, v_num=6, train_loss=2.280]
Epoch 0:   4%|▍         | 82/1875 [00:01<00:29, 61.55it/s, v_num=6, train_loss=2.230]
Epoch 0:   4%|▍         | 83/1875 [00:01<00:29, 61.57it/s, v_num=6, train_loss=2.230]
Epoch 0:   4%|▍         | 83/1875 [00:01<00:29, 61.56it/s, v_num=6, train_loss=2.290]
Epoch 0:   4%|▍         | 84/1875 [00:01<00:29, 61.57it/s, v_num=6, train_loss=2.290]
Epoch 0:   4%|▍         | 84/1875 [00:01<00:29, 61.56it/s, v_num=6, train_loss=2.250]
Epoch 0:   5%|▍         | 85/1875 [00:01<00:29, 61.58it/s, v_num=6, train_loss=2.250]
Epoch 0:   5%|▍         | 85/1875 [00:01<00:29, 61.57it/s, v_num=6, train_loss=2.230]
Epoch 0:   5%|▍         | 86/1875 [00:01<00:29, 61.58it/s, v_num=6, train_loss=2.230]
Epoch 0:   5%|▍         | 86/1875 [00:01<00:29, 61.57it/s, v_num=6, train_loss=2.200]
Epoch 0:   5%|▍         | 87/1875 [00:01<00:29, 61.59it/s, v_num=6, train_loss=2.200]
Epoch 0:   5%|▍         | 87/1875 [00:01<00:29, 61.58it/s, v_num=6, train_loss=2.230]
Epoch 0:   5%|▍         | 88/1875 [00:01<00:29, 61.59it/s, v_num=6, train_loss=2.230]
Epoch 0:   5%|▍         | 88/1875 [00:01<00:29, 61.58it/s, v_num=6, train_loss=2.250]
Epoch 0:   5%|▍         | 89/1875 [00:01<00:28, 61.59it/s, v_num=6, train_loss=2.250]
Epoch 0:   5%|▍         | 89/1875 [00:01<00:29, 61.58it/s, v_num=6, train_loss=2.290]
Epoch 0:   5%|▍         | 90/1875 [00:01<00:28, 61.59it/s, v_num=6, train_loss=2.290]
Epoch 0:   5%|▍         | 90/1875 [00:01<00:28, 61.58it/s, v_num=6, train_loss=2.260]
Epoch 0:   5%|▍         | 91/1875 [00:01<00:28, 61.59it/s, v_num=6, train_loss=2.260]
Epoch 0:   5%|▍         | 91/1875 [00:01<00:28, 61.58it/s, v_num=6, train_loss=2.210]
Epoch 0:   5%|▍         | 92/1875 [00:01<00:28, 61.59it/s, v_num=6, train_loss=2.210]
Epoch 0:   5%|▍         | 92/1875 [00:01<00:28, 61.58it/s, v_num=6, train_loss=2.190]
Epoch 0:   5%|▍         | 93/1875 [00:01<00:28, 61.59it/s, v_num=6, train_loss=2.190]
Epoch 0:   5%|▍         | 93/1875 [00:01<00:28, 61.58it/s, v_num=6, train_loss=2.190]
Epoch 0:   5%|▌         | 94/1875 [00:01<00:28, 61.59it/s, v_num=6, train_loss=2.190]
Epoch 0:   5%|▌         | 94/1875 [00:01<00:28, 61.58it/s, v_num=6, train_loss=2.150]
Epoch 0:   5%|▌         | 95/1875 [00:01<00:28, 61.59it/s, v_num=6, train_loss=2.150]
Epoch 0:   5%|▌         | 95/1875 [00:01<00:28, 61.59it/s, v_num=6, train_loss=2.170]
Epoch 0:   5%|▌         | 96/1875 [00:01<00:28, 61.60it/s, v_num=6, train_loss=2.170]
Epoch 0:   5%|▌         | 96/1875 [00:01<00:28, 61.59it/s, v_num=6, train_loss=2.220]
Epoch 0:   5%|▌         | 97/1875 [00:01<00:28, 61.60it/s, v_num=6, train_loss=2.220]
Epoch 0:   5%|▌         | 97/1875 [00:01<00:28, 61.59it/s, v_num=6, train_loss=2.190]
Epoch 0:   5%|▌         | 98/1875 [00:01<00:28, 61.61it/s, v_num=6, train_loss=2.190]
Epoch 0:   5%|▌         | 98/1875 [00:01<00:28, 61.60it/s, v_num=6, train_loss=2.190]
Epoch 0:   5%|▌         | 99/1875 [00:01<00:28, 61.61it/s, v_num=6, train_loss=2.190]
Epoch 0:   5%|▌         | 99/1875 [00:01<00:28, 61.60it/s, v_num=6, train_loss=2.150]
Epoch 0:   5%|▌         | 100/1875 [00:01<00:28, 61.61it/s, v_num=6, train_loss=2.150]
Epoch 0:   5%|▌         | 100/1875 [00:01<00:28, 61.60it/s, v_num=6, train_loss=2.150]
Epoch 0:   5%|▌         | 101/1875 [00:01<00:28, 61.59it/s, v_num=6, train_loss=2.150]
Epoch 0:   5%|▌         | 101/1875 [00:01<00:28, 61.58it/s, v_num=6, train_loss=2.190]
Epoch 0:   5%|▌         | 102/1875 [00:01<00:28, 61.59it/s, v_num=6, train_loss=2.190]
Epoch 0:   5%|▌         | 102/1875 [00:01<00:28, 61.58it/s, v_num=6, train_loss=2.150]
Epoch 0:   5%|▌         | 103/1875 [00:01<00:28, 61.59it/s, v_num=6, train_loss=2.150]
Epoch 0:   5%|▌         | 103/1875 [00:01<00:28, 61.58it/s, v_num=6, train_loss=2.200]
Epoch 0:   6%|▌         | 104/1875 [00:01<00:28, 61.58it/s, v_num=6, train_loss=2.200]
Epoch 0:   6%|▌         | 104/1875 [00:01<00:28, 61.57it/s, v_num=6, train_loss=2.140]
Epoch 0:   6%|▌         | 105/1875 [00:01<00:28, 61.57it/s, v_num=6, train_loss=2.140]
Epoch 0:   6%|▌         | 105/1875 [00:01<00:28, 61.56it/s, v_num=6, train_loss=2.260]
Epoch 0:   6%|▌         | 106/1875 [00:01<00:28, 61.57it/s, v_num=6, train_loss=2.260]
Epoch 0:   6%|▌         | 106/1875 [00:01<00:28, 61.56it/s, v_num=6, train_loss=2.180]
Epoch 0:   6%|▌         | 107/1875 [00:01<00:28, 61.57it/s, v_num=6, train_loss=2.180]
Epoch 0:   6%|▌         | 107/1875 [00:01<00:28, 61.56it/s, v_num=6, train_loss=2.200]
Epoch 0:   6%|▌         | 108/1875 [00:01<00:28, 61.57it/s, v_num=6, train_loss=2.200]
Epoch 0:   6%|▌         | 108/1875 [00:01<00:28, 61.56it/s, v_num=6, train_loss=2.250]
Epoch 0:   6%|▌         | 109/1875 [00:01<00:28, 61.57it/s, v_num=6, train_loss=2.250]
Epoch 0:   6%|▌         | 109/1875 [00:01<00:28, 61.56it/s, v_num=6, train_loss=2.170]
Epoch 0:   6%|▌         | 110/1875 [00:01<00:28, 61.57it/s, v_num=6, train_loss=2.170]
Epoch 0:   6%|▌         | 110/1875 [00:01<00:28, 61.56it/s, v_num=6, train_loss=2.210]
Epoch 0:   6%|▌         | 111/1875 [00:01<00:28, 61.57it/s, v_num=6, train_loss=2.210]
Epoch 0:   6%|▌         | 111/1875 [00:01<00:28, 61.57it/s, v_num=6, train_loss=2.140]
Epoch 0:   6%|▌         | 112/1875 [00:01<00:28, 61.58it/s, v_num=6, train_loss=2.140]
Epoch 0:   6%|▌         | 112/1875 [00:01<00:28, 61.57it/s, v_num=6, train_loss=2.150]
Epoch 0:   6%|▌         | 113/1875 [00:01<00:28, 61.58it/s, v_num=6, train_loss=2.150]
Epoch 0:   6%|▌         | 113/1875 [00:01<00:28, 61.57it/s, v_num=6, train_loss=2.150]
Epoch 0:   6%|▌         | 114/1875 [00:01<00:28, 61.58it/s, v_num=6, train_loss=2.150]
Epoch 0:   6%|▌         | 114/1875 [00:01<00:28, 61.58it/s, v_num=6, train_loss=2.170]
Epoch 0:   6%|▌         | 115/1875 [00:01<00:28, 61.59it/s, v_num=6, train_loss=2.170]
Epoch 0:   6%|▌         | 115/1875 [00:01<00:28, 61.58it/s, v_num=6, train_loss=2.110]
Epoch 0:   6%|▌         | 116/1875 [00:01<00:28, 61.59it/s, v_num=6, train_loss=2.110]
Epoch 0:   6%|▌         | 116/1875 [00:01<00:28, 61.58it/s, v_num=6, train_loss=2.120]
Epoch 0:   6%|▌         | 117/1875 [00:01<00:28, 61.59it/s, v_num=6, train_loss=2.120]
Epoch 0:   6%|▌         | 117/1875 [00:01<00:28, 61.59it/s, v_num=6, train_loss=2.060]
Epoch 0:   6%|▋         | 118/1875 [00:01<00:28, 61.60it/s, v_num=6, train_loss=2.060]
Epoch 0:   6%|▋         | 118/1875 [00:01<00:28, 61.59it/s, v_num=6, train_loss=2.100]
Epoch 0:   6%|▋         | 119/1875 [00:01<00:28, 61.60it/s, v_num=6, train_loss=2.100]
Epoch 0:   6%|▋         | 119/1875 [00:01<00:28, 61.59it/s, v_num=6, train_loss=2.090]
Epoch 0:   6%|▋         | 120/1875 [00:01<00:28, 61.61it/s, v_num=6, train_loss=2.090]
Epoch 0:   6%|▋         | 120/1875 [00:01<00:28, 61.60it/s, v_num=6, train_loss=2.080]
Epoch 0:   6%|▋         | 121/1875 [00:01<00:28, 61.61it/s, v_num=6, train_loss=2.080]
Epoch 0:   6%|▋         | 121/1875 [00:01<00:28, 61.60it/s, v_num=6, train_loss=2.130]
Epoch 0:   7%|▋         | 122/1875 [00:01<00:28, 61.61it/s, v_num=6, train_loss=2.130]
Epoch 0:   7%|▋         | 122/1875 [00:01<00:28, 61.60it/s, v_num=6, train_loss=2.040]
Epoch 0:   7%|▋         | 123/1875 [00:01<00:28, 61.61it/s, v_num=6, train_loss=2.040]
Epoch 0:   7%|▋         | 123/1875 [00:01<00:28, 61.60it/s, v_num=6, train_loss=2.170]
Epoch 0:   7%|▋         | 124/1875 [00:02<00:28, 61.61it/s, v_num=6, train_loss=2.170]
Epoch 0:   7%|▋         | 124/1875 [00:02<00:28, 61.60it/s, v_num=6, train_loss=2.230]
Epoch 0:   7%|▋         | 125/1875 [00:02<00:28, 61.61it/s, v_num=6, train_loss=2.230]
Epoch 0:   7%|▋         | 125/1875 [00:02<00:28, 61.60it/s, v_num=6, train_loss=2.190]
Epoch 0:   7%|▋         | 126/1875 [00:02<00:28, 61.61it/s, v_num=6, train_loss=2.190]
Epoch 0:   7%|▋         | 126/1875 [00:02<00:28, 61.61it/s, v_num=6, train_loss=2.110]
Epoch 0:   7%|▋         | 127/1875 [00:02<00:28, 61.62it/s, v_num=6, train_loss=2.110]
Epoch 0:   7%|▋         | 127/1875 [00:02<00:28, 61.61it/s, v_num=6, train_loss=2.100]
Epoch 0:   7%|▋         | 128/1875 [00:02<00:28, 61.61it/s, v_num=6, train_loss=2.100]
Epoch 0:   7%|▋         | 128/1875 [00:02<00:28, 61.61it/s, v_num=6, train_loss=2.190]
Epoch 0:   7%|▋         | 129/1875 [00:02<00:28, 61.62it/s, v_num=6, train_loss=2.190]
Epoch 0:   7%|▋         | 129/1875 [00:02<00:28, 61.61it/s, v_num=6, train_loss=2.040]
Epoch 0:   7%|▋         | 130/1875 [00:02<00:28, 61.62it/s, v_num=6, train_loss=2.040]
Epoch 0:   7%|▋         | 130/1875 [00:02<00:28, 61.62it/s, v_num=6, train_loss=2.110]
Epoch 0:   7%|▋         | 131/1875 [00:02<00:28, 61.62it/s, v_num=6, train_loss=2.110]
Epoch 0:   7%|▋         | 131/1875 [00:02<00:28, 61.62it/s, v_num=6, train_loss=2.000]
Epoch 0:   7%|▋         | 132/1875 [00:02<00:28, 61.63it/s, v_num=6, train_loss=2.000]
Epoch 0:   7%|▋         | 132/1875 [00:02<00:28, 61.62it/s, v_num=6, train_loss=2.040]
Epoch 0:   7%|▋         | 133/1875 [00:02<00:28, 61.63it/s, v_num=6, train_loss=2.040]
Epoch 0:   7%|▋         | 133/1875 [00:02<00:28, 61.62it/s, v_num=6, train_loss=2.030]
Epoch 0:   7%|▋         | 134/1875 [00:02<00:28, 61.63it/s, v_num=6, train_loss=2.030]
Epoch 0:   7%|▋         | 134/1875 [00:02<00:28, 61.63it/s, v_num=6, train_loss=2.090]
Epoch 0:   7%|▋         | 135/1875 [00:02<00:28, 61.63it/s, v_num=6, train_loss=2.090]
Epoch 0:   7%|▋         | 135/1875 [00:02<00:28, 61.63it/s, v_num=6, train_loss=2.050]
Epoch 0:   7%|▋         | 136/1875 [00:02<00:28, 61.64it/s, v_num=6, train_loss=2.050]
Epoch 0:   7%|▋         | 136/1875 [00:02<00:28, 61.63it/s, v_num=6, train_loss=2.160]
Epoch 0:   7%|▋         | 137/1875 [00:02<00:28, 61.64it/s, v_num=6, train_loss=2.160]
Epoch 0:   7%|▋         | 137/1875 [00:02<00:28, 61.63it/s, v_num=6, train_loss=2.140]
Epoch 0:   7%|▋         | 138/1875 [00:02<00:28, 61.64it/s, v_num=6, train_loss=2.140]
Epoch 0:   7%|▋         | 138/1875 [00:02<00:28, 61.64it/s, v_num=6, train_loss=2.030]
Epoch 0:   7%|▋         | 139/1875 [00:02<00:28, 61.64it/s, v_num=6, train_loss=2.030]
Epoch 0:   7%|▋         | 139/1875 [00:02<00:28, 61.64it/s, v_num=6, train_loss=2.150]
Epoch 0:   7%|▋         | 140/1875 [00:02<00:28, 61.65it/s, v_num=6, train_loss=2.150]
Epoch 0:   7%|▋         | 140/1875 [00:02<00:28, 61.64it/s, v_num=6, train_loss=2.050]
Epoch 0:   8%|▊         | 141/1875 [00:02<00:28, 61.65it/s, v_num=6, train_loss=2.050]
Epoch 0:   8%|▊         | 141/1875 [00:02<00:28, 61.64it/s, v_num=6, train_loss=2.150]
Epoch 0:   8%|▊         | 142/1875 [00:02<00:28, 61.65it/s, v_num=6, train_loss=2.150]
Epoch 0:   8%|▊         | 142/1875 [00:02<00:28, 61.65it/s, v_num=6, train_loss=2.150]
Epoch 0:   8%|▊         | 143/1875 [00:02<00:28, 61.64it/s, v_num=6, train_loss=2.150]
Epoch 0:   8%|▊         | 143/1875 [00:02<00:28, 61.63it/s, v_num=6, train_loss=1.990]
Epoch 0:   8%|▊         | 144/1875 [00:02<00:28, 61.63it/s, v_num=6, train_loss=1.990]
Epoch 0:   8%|▊         | 144/1875 [00:02<00:28, 61.63it/s, v_num=6, train_loss=2.050]
Epoch 0:   8%|▊         | 145/1875 [00:02<00:28, 61.63it/s, v_num=6, train_loss=2.050]
Epoch 0:   8%|▊         | 145/1875 [00:02<00:28, 61.63it/s, v_num=6, train_loss=2.080]
Epoch 0:   8%|▊         | 146/1875 [00:02<00:28, 61.64it/s, v_num=6, train_loss=2.080]
Epoch 0:   8%|▊         | 146/1875 [00:02<00:28, 61.63it/s, v_num=6, train_loss=2.030]
Epoch 0:   8%|▊         | 147/1875 [00:02<00:28, 61.64it/s, v_num=6, train_loss=2.030]
Epoch 0:   8%|▊         | 147/1875 [00:02<00:28, 61.63it/s, v_num=6, train_loss=1.990]
Epoch 0:   8%|▊         | 148/1875 [00:02<00:28, 61.64it/s, v_num=6, train_loss=1.990]
Epoch 0:   8%|▊         | 148/1875 [00:02<00:28, 61.63it/s, v_num=6, train_loss=1.980]
Epoch 0:   8%|▊         | 149/1875 [00:02<00:28, 61.64it/s, v_num=6, train_loss=1.980]
Epoch 0:   8%|▊         | 149/1875 [00:02<00:28, 61.64it/s, v_num=6, train_loss=2.060]
Epoch 0:   8%|▊         | 150/1875 [00:02<00:27, 61.64it/s, v_num=6, train_loss=2.060]
Epoch 0:   8%|▊         | 150/1875 [00:02<00:27, 61.64it/s, v_num=6, train_loss=1.890]
Epoch 0:   8%|▊         | 151/1875 [00:02<00:27, 61.63it/s, v_num=6, train_loss=1.890]
Epoch 0:   8%|▊         | 151/1875 [00:02<00:27, 61.62it/s, v_num=6, train_loss=1.830]
Epoch 0:   8%|▊         | 152/1875 [00:02<00:27, 61.63it/s, v_num=6, train_loss=1.830]
Epoch 0:   8%|▊         | 152/1875 [00:02<00:27, 61.63it/s, v_num=6, train_loss=2.200]
Epoch 0:   8%|▊         | 153/1875 [00:02<00:27, 61.63it/s, v_num=6, train_loss=2.200]
Epoch 0:   8%|▊         | 153/1875 [00:02<00:27, 61.63it/s, v_num=6, train_loss=2.080]
Epoch 0:   8%|▊         | 154/1875 [00:02<00:27, 61.63it/s, v_num=6, train_loss=2.080]
Epoch 0:   8%|▊         | 154/1875 [00:02<00:27, 61.63it/s, v_num=6, train_loss=2.040]
Epoch 0:   8%|▊         | 155/1875 [00:02<00:27, 61.63it/s, v_num=6, train_loss=2.040]
Epoch 0:   8%|▊         | 155/1875 [00:02<00:27, 61.63it/s, v_num=6, train_loss=2.030]
Epoch 0:   8%|▊         | 156/1875 [00:02<00:27, 61.64it/s, v_num=6, train_loss=2.030]
Epoch 0:   8%|▊         | 156/1875 [00:02<00:27, 61.63it/s, v_num=6, train_loss=2.010]
Epoch 0:   8%|▊         | 157/1875 [00:02<00:27, 61.64it/s, v_num=6, train_loss=2.010]
Epoch 0:   8%|▊         | 157/1875 [00:02<00:27, 61.63it/s, v_num=6, train_loss=2.100]
Epoch 0:   8%|▊         | 158/1875 [00:02<00:27, 61.64it/s, v_num=6, train_loss=2.100]
Epoch 0:   8%|▊         | 158/1875 [00:02<00:27, 61.64it/s, v_num=6, train_loss=2.060]
Epoch 0:   8%|▊         | 159/1875 [00:02<00:27, 61.65it/s, v_num=6, train_loss=2.060]
Epoch 0:   8%|▊         | 159/1875 [00:02<00:27, 61.64it/s, v_num=6, train_loss=2.020]
Epoch 0:   9%|▊         | 160/1875 [00:02<00:27, 61.65it/s, v_num=6, train_loss=2.020]
Epoch 0:   9%|▊         | 160/1875 [00:02<00:27, 61.64it/s, v_num=6, train_loss=1.970]
Epoch 0:   9%|▊         | 161/1875 [00:02<00:27, 61.65it/s, v_num=6, train_loss=1.970]
Epoch 0:   9%|▊         | 161/1875 [00:02<00:27, 61.64it/s, v_num=6, train_loss=1.870]
Epoch 0:   9%|▊         | 162/1875 [00:02<00:27, 61.65it/s, v_num=6, train_loss=1.870]
Epoch 0:   9%|▊         | 162/1875 [00:02<00:27, 61.65it/s, v_num=6, train_loss=1.960]
Epoch 0:   9%|▊         | 163/1875 [00:02<00:27, 61.65it/s, v_num=6, train_loss=1.960]
Epoch 0:   9%|▊         | 163/1875 [00:02<00:27, 61.65it/s, v_num=6, train_loss=1.960]
Epoch 0:   9%|▊         | 164/1875 [00:02<00:27, 61.65it/s, v_num=6, train_loss=1.960]
Epoch 0:   9%|▊         | 164/1875 [00:02<00:27, 61.65it/s, v_num=6, train_loss=2.210]
Epoch 0:   9%|▉         | 165/1875 [00:02<00:27, 61.65it/s, v_num=6, train_loss=2.210]
Epoch 0:   9%|▉         | 165/1875 [00:02<00:27, 61.65it/s, v_num=6, train_loss=2.000]
Epoch 0:   9%|▉         | 166/1875 [00:02<00:27, 61.65it/s, v_num=6, train_loss=2.000]
Epoch 0:   9%|▉         | 166/1875 [00:02<00:27, 61.65it/s, v_num=6, train_loss=1.900]
Epoch 0:   9%|▉         | 167/1875 [00:02<00:27, 61.64it/s, v_num=6, train_loss=1.900]
Epoch 0:   9%|▉         | 167/1875 [00:02<00:27, 61.63it/s, v_num=6, train_loss=1.930]
Epoch 0:   9%|▉         | 168/1875 [00:02<00:27, 61.63it/s, v_num=6, train_loss=1.930]
Epoch 0:   9%|▉         | 168/1875 [00:02<00:27, 61.62it/s, v_num=6, train_loss=1.990]
Epoch 0:   9%|▉         | 169/1875 [00:02<00:27, 61.63it/s, v_num=6, train_loss=1.990]
Epoch 0:   9%|▉         | 169/1875 [00:02<00:27, 61.62it/s, v_num=6, train_loss=1.860]
Epoch 0:   9%|▉         | 170/1875 [00:02<00:27, 61.63it/s, v_num=6, train_loss=1.860]
Epoch 0:   9%|▉         | 170/1875 [00:02<00:27, 61.62it/s, v_num=6, train_loss=1.840]
Epoch 0:   9%|▉         | 171/1875 [00:02<00:27, 61.63it/s, v_num=6, train_loss=1.840]
Epoch 0:   9%|▉         | 171/1875 [00:02<00:27, 61.62it/s, v_num=6, train_loss=1.910]
Epoch 0:   9%|▉         | 172/1875 [00:02<00:27, 61.63it/s, v_num=6, train_loss=1.910]
Epoch 0:   9%|▉         | 172/1875 [00:02<00:27, 61.62it/s, v_num=6, train_loss=2.080]
Epoch 0:   9%|▉         | 173/1875 [00:02<00:27, 61.63it/s, v_num=6, train_loss=2.080]
Epoch 0:   9%|▉         | 173/1875 [00:02<00:27, 61.63it/s, v_num=6, train_loss=2.270]
Epoch 0:   9%|▉         | 174/1875 [00:02<00:27, 61.63it/s, v_num=6, train_loss=2.270]
Epoch 0:   9%|▉         | 174/1875 [00:02<00:27, 61.63it/s, v_num=6, train_loss=1.870]
Epoch 0:   9%|▉         | 175/1875 [00:02<00:27, 61.64it/s, v_num=6, train_loss=1.870]
Epoch 0:   9%|▉         | 175/1875 [00:02<00:27, 61.63it/s, v_num=6, train_loss=1.990]
Epoch 0:   9%|▉         | 176/1875 [00:02<00:27, 61.64it/s, v_num=6, train_loss=1.990]
Epoch 0:   9%|▉         | 176/1875 [00:02<00:27, 61.63it/s, v_num=6, train_loss=1.890]
Epoch 0:   9%|▉         | 177/1875 [00:02<00:27, 61.64it/s, v_num=6, train_loss=1.890]
Epoch 0:   9%|▉         | 177/1875 [00:02<00:27, 61.63it/s, v_num=6, train_loss=1.850]
Epoch 0:   9%|▉         | 178/1875 [00:02<00:27, 61.64it/s, v_num=6, train_loss=1.850]
Epoch 0:   9%|▉         | 178/1875 [00:02<00:27, 61.64it/s, v_num=6, train_loss=1.780]
Epoch 0:  10%|▉         | 179/1875 [00:02<00:27, 61.64it/s, v_num=6, train_loss=1.780]
Epoch 0:  10%|▉         | 179/1875 [00:02<00:27, 61.64it/s, v_num=6, train_loss=1.740]
Epoch 0:  10%|▉         | 180/1875 [00:02<00:27, 61.64it/s, v_num=6, train_loss=1.740]
Epoch 0:  10%|▉         | 180/1875 [00:02<00:27, 61.64it/s, v_num=6, train_loss=1.790]
Epoch 0:  10%|▉         | 181/1875 [00:02<00:27, 61.64it/s, v_num=6, train_loss=1.790]
Epoch 0:  10%|▉         | 181/1875 [00:02<00:27, 61.64it/s, v_num=6, train_loss=1.940]
Epoch 0:  10%|▉         | 182/1875 [00:02<00:27, 61.64it/s, v_num=6, train_loss=1.940]
Epoch 0:  10%|▉         | 182/1875 [00:02<00:27, 61.64it/s, v_num=6, train_loss=2.070]
Epoch 0:  10%|▉         | 183/1875 [00:02<00:27, 61.64it/s, v_num=6, train_loss=2.070]
Epoch 0:  10%|▉         | 183/1875 [00:02<00:27, 61.64it/s, v_num=6, train_loss=2.100]
Epoch 0:  10%|▉         | 184/1875 [00:02<00:27, 61.64it/s, v_num=6, train_loss=2.100]
Epoch 0:  10%|▉         | 184/1875 [00:02<00:27, 61.64it/s, v_num=6, train_loss=1.980]
Epoch 0:  10%|▉         | 185/1875 [00:03<00:27, 61.64it/s, v_num=6, train_loss=1.980]
Epoch 0:  10%|▉         | 185/1875 [00:03<00:27, 61.64it/s, v_num=6, train_loss=1.860]
Epoch 0:  10%|▉         | 186/1875 [00:03<00:27, 61.64it/s, v_num=6, train_loss=1.860]
Epoch 0:  10%|▉         | 186/1875 [00:03<00:27, 61.64it/s, v_num=6, train_loss=1.890]
Epoch 0:  10%|▉         | 187/1875 [00:03<00:27, 61.65it/s, v_num=6, train_loss=1.890]
Epoch 0:  10%|▉         | 187/1875 [00:03<00:27, 61.64it/s, v_num=6, train_loss=1.900]
Epoch 0:  10%|█         | 188/1875 [00:03<00:27, 61.65it/s, v_num=6, train_loss=1.900]
Epoch 0:  10%|█         | 188/1875 [00:03<00:27, 61.64it/s, v_num=6, train_loss=1.710]
Epoch 0:  10%|█         | 189/1875 [00:03<00:27, 61.65it/s, v_num=6, train_loss=1.710]
Epoch 0:  10%|█         | 189/1875 [00:03<00:27, 61.65it/s, v_num=6, train_loss=1.920]
Epoch 0:  10%|█         | 190/1875 [00:03<00:27, 61.65it/s, v_num=6, train_loss=1.920]
Epoch 0:  10%|█         | 190/1875 [00:03<00:27, 61.65it/s, v_num=6, train_loss=1.930]
Epoch 0:  10%|█         | 191/1875 [00:03<00:27, 61.66it/s, v_num=6, train_loss=1.930]
Epoch 0:  10%|█         | 191/1875 [00:03<00:27, 61.65it/s, v_num=6, train_loss=1.770]
Epoch 0:  10%|█         | 192/1875 [00:03<00:27, 61.66it/s, v_num=6, train_loss=1.770]
Epoch 0:  10%|█         | 192/1875 [00:03<00:27, 61.65it/s, v_num=6, train_loss=2.010]
Epoch 0:  10%|█         | 193/1875 [00:03<00:27, 61.66it/s, v_num=6, train_loss=2.010]
Epoch 0:  10%|█         | 193/1875 [00:03<00:27, 61.66it/s, v_num=6, train_loss=2.100]
Epoch 0:  10%|█         | 194/1875 [00:03<00:27, 61.66it/s, v_num=6, train_loss=2.100]
Epoch 0:  10%|█         | 194/1875 [00:03<00:27, 61.66it/s, v_num=6, train_loss=1.840]
Epoch 0:  10%|█         | 195/1875 [00:03<00:27, 61.66it/s, v_num=6, train_loss=1.840]
Epoch 0:  10%|█         | 195/1875 [00:03<00:27, 61.66it/s, v_num=6, train_loss=2.180]
Epoch 0:  10%|█         | 196/1875 [00:03<00:27, 61.67it/s, v_num=6, train_loss=2.180]
Epoch 0:  10%|█         | 196/1875 [00:03<00:27, 61.66it/s, v_num=6, train_loss=1.920]
Epoch 0:  11%|█         | 197/1875 [00:03<00:27, 61.67it/s, v_num=6, train_loss=1.920]
Epoch 0:  11%|█         | 197/1875 [00:03<00:27, 61.67it/s, v_num=6, train_loss=1.740]
Epoch 0:  11%|█         | 198/1875 [00:03<00:27, 61.67it/s, v_num=6, train_loss=1.740]
Epoch 0:  11%|█         | 198/1875 [00:03<00:27, 61.67it/s, v_num=6, train_loss=1.760]
Epoch 0:  11%|█         | 199/1875 [00:03<00:27, 61.67it/s, v_num=6, train_loss=1.760]
Epoch 0:  11%|█         | 199/1875 [00:03<00:27, 61.67it/s, v_num=6, train_loss=1.570]
Epoch 0:  11%|█         | 200/1875 [00:03<00:27, 61.68it/s, v_num=6, train_loss=1.570]
Epoch 0:  11%|█         | 200/1875 [00:03<00:27, 61.67it/s, v_num=6, train_loss=1.620]
Epoch 0:  11%|█         | 201/1875 [00:03<00:27, 61.67it/s, v_num=6, train_loss=1.620]
Epoch 0:  11%|█         | 201/1875 [00:03<00:27, 61.66it/s, v_num=6, train_loss=1.780]
Epoch 0:  11%|█         | 202/1875 [00:03<00:27, 61.67it/s, v_num=6, train_loss=1.780]
Epoch 0:  11%|█         | 202/1875 [00:03<00:27, 61.66it/s, v_num=6, train_loss=1.410]
Epoch 0:  11%|█         | 203/1875 [00:03<00:27, 61.67it/s, v_num=6, train_loss=1.410]
Epoch 0:  11%|█         | 203/1875 [00:03<00:27, 61.66it/s, v_num=6, train_loss=1.930]
Epoch 0:  11%|█         | 204/1875 [00:03<00:27, 61.67it/s, v_num=6, train_loss=1.930]
Epoch 0:  11%|█         | 204/1875 [00:03<00:27, 61.66it/s, v_num=6, train_loss=1.890]
Epoch 0:  11%|█         | 205/1875 [00:03<00:27, 61.67it/s, v_num=6, train_loss=1.890]
Epoch 0:  11%|█         | 205/1875 [00:03<00:27, 61.66it/s, v_num=6, train_loss=1.750]
Epoch 0:  11%|█         | 206/1875 [00:03<00:27, 61.67it/s, v_num=6, train_loss=1.750]
Epoch 0:  11%|█         | 206/1875 [00:03<00:27, 61.66it/s, v_num=6, train_loss=1.640]
Epoch 0:  11%|█         | 207/1875 [00:03<00:27, 61.67it/s, v_num=6, train_loss=1.640]
Epoch 0:  11%|█         | 207/1875 [00:03<00:27, 61.67it/s, v_num=6, train_loss=1.610]
Epoch 0:  11%|█         | 208/1875 [00:03<00:27, 61.67it/s, v_num=6, train_loss=1.610]
Epoch 0:  11%|█         | 208/1875 [00:03<00:27, 61.67it/s, v_num=6, train_loss=1.920]
Epoch 0:  11%|█         | 209/1875 [00:03<00:27, 61.67it/s, v_num=6, train_loss=1.920]
Epoch 0:  11%|█         | 209/1875 [00:03<00:27, 61.67it/s, v_num=6, train_loss=1.620]
Epoch 0:  11%|█         | 210/1875 [00:03<00:26, 61.67it/s, v_num=6, train_loss=1.620]
Epoch 0:  11%|█         | 210/1875 [00:03<00:26, 61.67it/s, v_num=6, train_loss=1.710]
Epoch 0:  11%|█▏        | 211/1875 [00:03<00:26, 61.68it/s, v_num=6, train_loss=1.710]
Epoch 0:  11%|█▏        | 211/1875 [00:03<00:26, 61.67it/s, v_num=6, train_loss=1.860]
Epoch 0:  11%|█▏        | 212/1875 [00:03<00:26, 61.67it/s, v_num=6, train_loss=1.860]
Epoch 0:  11%|█▏        | 212/1875 [00:03<00:26, 61.66it/s, v_num=6, train_loss=1.750]
Epoch 0:  11%|█▏        | 213/1875 [00:03<00:26, 61.64it/s, v_num=6, train_loss=1.750]
Epoch 0:  11%|█▏        | 213/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.520]
Epoch 0:  11%|█▏        | 214/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.520]
Epoch 0:  11%|█▏        | 214/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.750]
Epoch 0:  11%|█▏        | 215/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.750]
Epoch 0:  11%|█▏        | 215/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.510]
Epoch 0:  12%|█▏        | 216/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.510]
Epoch 0:  12%|█▏        | 216/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.800]
Epoch 0:  12%|█▏        | 217/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.800]
Epoch 0:  12%|█▏        | 217/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.990]
Epoch 0:  12%|█▏        | 218/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.990]
Epoch 0:  12%|█▏        | 218/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=2.260]
Epoch 0:  12%|█▏        | 219/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=2.260]
Epoch 0:  12%|█▏        | 219/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=2.000]
Epoch 0:  12%|█▏        | 220/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=2.000]
Epoch 0:  12%|█▏        | 220/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.670]
Epoch 0:  12%|█▏        | 221/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.670]
Epoch 0:  12%|█▏        | 221/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.780]
Epoch 0:  12%|█▏        | 222/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.780]
Epoch 0:  12%|█▏        | 222/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.680]
Epoch 0:  12%|█▏        | 223/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.680]
Epoch 0:  12%|█▏        | 223/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.730]
Epoch 0:  12%|█▏        | 224/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.730]
Epoch 0:  12%|█▏        | 224/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.410]
Epoch 0:  12%|█▏        | 225/1875 [00:03<00:26, 61.64it/s, v_num=6, train_loss=1.410]
Epoch 0:  12%|█▏        | 225/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.640]
Epoch 0:  12%|█▏        | 226/1875 [00:03<00:26, 61.64it/s, v_num=6, train_loss=1.640]
Epoch 0:  12%|█▏        | 226/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.280]
Epoch 0:  12%|█▏        | 227/1875 [00:03<00:26, 61.64it/s, v_num=6, train_loss=1.280]
Epoch 0:  12%|█▏        | 227/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.530]
Epoch 0:  12%|█▏        | 228/1875 [00:03<00:26, 61.62it/s, v_num=6, train_loss=1.530]
Epoch 0:  12%|█▏        | 228/1875 [00:03<00:26, 61.61it/s, v_num=6, train_loss=1.870]
Epoch 0:  12%|█▏        | 229/1875 [00:03<00:26, 61.62it/s, v_num=6, train_loss=1.870]
Epoch 0:  12%|█▏        | 229/1875 [00:03<00:26, 61.61it/s, v_num=6, train_loss=1.760]
Epoch 0:  12%|█▏        | 230/1875 [00:03<00:26, 61.61it/s, v_num=6, train_loss=1.760]
Epoch 0:  12%|█▏        | 230/1875 [00:03<00:26, 61.60it/s, v_num=6, train_loss=1.910]
Epoch 0:  12%|█▏        | 231/1875 [00:03<00:26, 61.60it/s, v_num=6, train_loss=1.910]
Epoch 0:  12%|█▏        | 231/1875 [00:03<00:26, 61.60it/s, v_num=6, train_loss=2.050]
Epoch 0:  12%|█▏        | 232/1875 [00:03<00:26, 61.61it/s, v_num=6, train_loss=2.050]
Epoch 0:  12%|█▏        | 232/1875 [00:03<00:26, 61.60it/s, v_num=6, train_loss=1.870]
Epoch 0:  12%|█▏        | 233/1875 [00:03<00:26, 61.61it/s, v_num=6, train_loss=1.870]
Epoch 0:  12%|█▏        | 233/1875 [00:03<00:26, 61.60it/s, v_num=6, train_loss=1.660]
Epoch 0:  12%|█▏        | 234/1875 [00:03<00:26, 61.61it/s, v_num=6, train_loss=1.660]
Epoch 0:  12%|█▏        | 234/1875 [00:03<00:26, 61.61it/s, v_num=6, train_loss=1.490]
Epoch 0:  13%|█▎        | 235/1875 [00:03<00:26, 61.61it/s, v_num=6, train_loss=1.490]
Epoch 0:  13%|█▎        | 235/1875 [00:03<00:26, 61.61it/s, v_num=6, train_loss=1.610]
Epoch 0:  13%|█▎        | 236/1875 [00:03<00:26, 61.62it/s, v_num=6, train_loss=1.610]
Epoch 0:  13%|█▎        | 236/1875 [00:03<00:26, 61.61it/s, v_num=6, train_loss=1.280]
Epoch 0:  13%|█▎        | 237/1875 [00:03<00:26, 61.62it/s, v_num=6, train_loss=1.280]
Epoch 0:  13%|█▎        | 237/1875 [00:03<00:26, 61.61it/s, v_num=6, train_loss=1.780]
Epoch 0:  13%|█▎        | 238/1875 [00:03<00:26, 61.62it/s, v_num=6, train_loss=1.780]
Epoch 0:  13%|█▎        | 238/1875 [00:03<00:26, 61.62it/s, v_num=6, train_loss=1.440]
Epoch 0:  13%|█▎        | 239/1875 [00:03<00:26, 61.62it/s, v_num=6, train_loss=1.440]
Epoch 0:  13%|█▎        | 239/1875 [00:03<00:26, 61.62it/s, v_num=6, train_loss=1.870]
Epoch 0:  13%|█▎        | 240/1875 [00:03<00:26, 61.62it/s, v_num=6, train_loss=1.870]
Epoch 0:  13%|█▎        | 240/1875 [00:03<00:26, 61.62it/s, v_num=6, train_loss=1.780]
Epoch 0:  13%|█▎        | 241/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.780]
Epoch 0:  13%|█▎        | 241/1875 [00:03<00:26, 61.62it/s, v_num=6, train_loss=1.520]
Epoch 0:  13%|█▎        | 242/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.520]
Epoch 0:  13%|█▎        | 242/1875 [00:03<00:26, 61.62it/s, v_num=6, train_loss=1.440]
Epoch 0:  13%|█▎        | 243/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.440]
Epoch 0:  13%|█▎        | 243/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.450]
Epoch 0:  13%|█▎        | 244/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.450]
Epoch 0:  13%|█▎        | 244/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.440]
Epoch 0:  13%|█▎        | 245/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.440]
Epoch 0:  13%|█▎        | 245/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.700]
Epoch 0:  13%|█▎        | 246/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.700]
Epoch 0:  13%|█▎        | 246/1875 [00:03<00:26, 61.63it/s, v_num=6, train_loss=1.410]
Epoch 0:  13%|█▎        | 247/1875 [00:04<00:26, 61.63it/s, v_num=6, train_loss=1.410]
Epoch 0:  13%|█▎        | 247/1875 [00:04<00:26, 61.63it/s, v_num=6, train_loss=1.480]
Epoch 0:  13%|█▎        | 248/1875 [00:04<00:26, 61.63it/s, v_num=6, train_loss=1.480]
Epoch 0:  13%|█▎        | 248/1875 [00:04<00:26, 61.63it/s, v_num=6, train_loss=1.320]
Epoch 0:  13%|█▎        | 249/1875 [00:04<00:26, 61.63it/s, v_num=6, train_loss=1.320]
Epoch 0:  13%|█▎        | 249/1875 [00:04<00:26, 61.62it/s, v_num=6, train_loss=1.420]
Epoch 0:  13%|█▎        | 250/1875 [00:04<00:26, 61.63it/s, v_num=6, train_loss=1.420]
Epoch 0:  13%|█▎        | 250/1875 [00:04<00:26, 61.63it/s, v_num=6, train_loss=1.450]
Epoch 0:  13%|█▎        | 251/1875 [00:04<00:26, 61.62it/s, v_num=6, train_loss=1.450]
Epoch 0:  13%|█▎        | 251/1875 [00:04<00:26, 61.62it/s, v_num=6, train_loss=1.490]
Epoch 0:  13%|█▎        | 252/1875 [00:04<00:26, 61.62it/s, v_num=6, train_loss=1.490]
Epoch 0:  13%|█▎        | 252/1875 [00:04<00:26, 61.62it/s, v_num=6, train_loss=1.530]
Epoch 0:  13%|█▎        | 253/1875 [00:04<00:26, 61.63it/s, v_num=6, train_loss=1.530]
Epoch 0:  13%|█▎        | 253/1875 [00:04<00:26, 61.62it/s, v_num=6, train_loss=2.090]
Epoch 0:  14%|█▎        | 254/1875 [00:04<00:26, 61.63it/s, v_num=6, train_loss=2.090]
Epoch 0:  14%|█▎        | 254/1875 [00:04<00:26, 61.63it/s, v_num=6, train_loss=1.990]
Epoch 0:  14%|█▎        | 255/1875 [00:04<00:26, 61.63it/s, v_num=6, train_loss=1.990]
Epoch 0:  14%|█▎        | 255/1875 [00:04<00:26, 61.63it/s, v_num=6, train_loss=1.740]
Epoch 0:  14%|█▎        | 256/1875 [00:04<00:26, 61.63it/s, v_num=6, train_loss=1.740]
Epoch 0:  14%|█▎        | 256/1875 [00:04<00:26, 61.63it/s, v_num=6, train_loss=1.560]
Epoch 0:  14%|█▎        | 257/1875 [00:04<00:26, 61.63it/s, v_num=6, train_loss=1.560]
Epoch 0:  14%|█▎        | 257/1875 [00:04<00:26, 61.63it/s, v_num=6, train_loss=1.590]
Epoch 0:  14%|█▍        | 258/1875 [00:04<00:26, 61.63it/s, v_num=6, train_loss=1.590]
Epoch 0:  14%|█▍        | 258/1875 [00:04<00:26, 61.63it/s, v_num=6, train_loss=1.500]
Epoch 0:  14%|█▍        | 259/1875 [00:04<00:26, 61.64it/s, v_num=6, train_loss=1.500]
Epoch 0:  14%|█▍        | 259/1875 [00:04<00:26, 61.63it/s, v_num=6, train_loss=1.500]
Epoch 0:  14%|█▍        | 260/1875 [00:04<00:26, 61.64it/s, v_num=6, train_loss=1.500]
Epoch 0:  14%|█▍        | 260/1875 [00:04<00:26, 61.64it/s, v_num=6, train_loss=1.350]
Epoch 0:  14%|█▍        | 261/1875 [00:04<00:26, 61.64it/s, v_num=6, train_loss=1.350]
Epoch 0:  14%|█▍        | 261/1875 [00:04<00:26, 61.64it/s, v_num=6, train_loss=1.370]
Epoch 0:  14%|█▍        | 262/1875 [00:04<00:26, 61.64it/s, v_num=6, train_loss=1.370]
Epoch 0:  14%|█▍        | 262/1875 [00:04<00:26, 61.64it/s, v_num=6, train_loss=1.290]
Epoch 0:  14%|█▍        | 263/1875 [00:04<00:26, 61.65it/s, v_num=6, train_loss=1.290]
Epoch 0:  14%|█▍        | 263/1875 [00:04<00:26, 61.64it/s, v_num=6, train_loss=1.710]
Epoch 0:  14%|█▍        | 264/1875 [00:04<00:26, 61.65it/s, v_num=6, train_loss=1.710]
Epoch 0:  14%|█▍        | 264/1875 [00:04<00:26, 61.65it/s, v_num=6, train_loss=1.670]
Epoch 0:  14%|█▍        | 265/1875 [00:04<00:26, 61.65it/s, v_num=6, train_loss=1.670]
Epoch 0:  14%|█▍        | 265/1875 [00:04<00:26, 61.65it/s, v_num=6, train_loss=1.480]
Epoch 0:  14%|█▍        | 266/1875 [00:04<00:26, 61.65it/s, v_num=6, train_loss=1.480]
Epoch 0:  14%|█▍        | 266/1875 [00:04<00:26, 61.65it/s, v_num=6, train_loss=1.550]
Epoch 0:  14%|█▍        | 267/1875 [00:04<00:26, 61.65it/s, v_num=6, train_loss=1.550]
Epoch 0:  14%|█▍        | 267/1875 [00:04<00:26, 61.65it/s, v_num=6, train_loss=1.230]
Epoch 0:  14%|█▍        | 268/1875 [00:04<00:26, 61.66it/s, v_num=6, train_loss=1.230]
Epoch 0:  14%|█▍        | 268/1875 [00:04<00:26, 61.65it/s, v_num=6, train_loss=1.220]
Epoch 0:  14%|█▍        | 269/1875 [00:04<00:26, 61.66it/s, v_num=6, train_loss=1.220]
Epoch 0:  14%|█▍        | 269/1875 [00:04<00:26, 61.65it/s, v_num=6, train_loss=1.520]
Epoch 0:  14%|█▍        | 270/1875 [00:04<00:26, 61.66it/s, v_num=6, train_loss=1.520]
Epoch 0:  14%|█▍        | 270/1875 [00:04<00:26, 61.65it/s, v_num=6, train_loss=1.550]
Epoch 0:  14%|█▍        | 271/1875 [00:04<00:26, 61.66it/s, v_num=6, train_loss=1.550]
Epoch 0:  14%|█▍        | 271/1875 [00:04<00:26, 61.65it/s, v_num=6, train_loss=1.980]
Epoch 0:  15%|█▍        | 272/1875 [00:04<00:26, 61.65it/s, v_num=6, train_loss=1.980]
Epoch 0:  15%|█▍        | 272/1875 [00:04<00:26, 61.65it/s, v_num=6, train_loss=1.450]
Epoch 0:  15%|█▍        | 273/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.450]
Epoch 0:  15%|█▍        | 273/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.450]
Epoch 0:  15%|█▍        | 274/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.450]
Epoch 0:  15%|█▍        | 274/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.160]
Epoch 0:  15%|█▍        | 275/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.160]
Epoch 0:  15%|█▍        | 275/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.340]
Epoch 0:  15%|█▍        | 276/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.340]
Epoch 0:  15%|█▍        | 276/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.640]
Epoch 0:  15%|█▍        | 277/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.640]
Epoch 0:  15%|█▍        | 277/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.430]
Epoch 0:  15%|█▍        | 278/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.430]
Epoch 0:  15%|█▍        | 278/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.120]
Epoch 0:  15%|█▍        | 279/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.120]
Epoch 0:  15%|█▍        | 279/1875 [00:04<00:25, 61.64it/s, v_num=6, train_loss=1.270]
Epoch 0:  15%|█▍        | 280/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.270]
Epoch 0:  15%|█▍        | 280/1875 [00:04<00:25, 61.64it/s, v_num=6, train_loss=1.400]
Epoch 0:  15%|█▍        | 281/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.400]
Epoch 0:  15%|█▍        | 281/1875 [00:04<00:25, 61.64it/s, v_num=6, train_loss=1.190]
Epoch 0:  15%|█▌        | 282/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.190]
Epoch 0:  15%|█▌        | 282/1875 [00:04<00:25, 61.64it/s, v_num=6, train_loss=1.780]
Epoch 0:  15%|█▌        | 283/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.780]
Epoch 0:  15%|█▌        | 283/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=2.100]
Epoch 0:  15%|█▌        | 284/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=2.100]
Epoch 0:  15%|█▌        | 284/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.710]
Epoch 0:  15%|█▌        | 285/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.710]
Epoch 0:  15%|█▌        | 285/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.520]
Epoch 0:  15%|█▌        | 286/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.520]
Epoch 0:  15%|█▌        | 286/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.640]
Epoch 0:  15%|█▌        | 287/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.640]
Epoch 0:  15%|█▌        | 287/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.300]
Epoch 0:  15%|█▌        | 288/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.300]
Epoch 0:  15%|█▌        | 288/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.180]
Epoch 0:  15%|█▌        | 289/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.180]
Epoch 0:  15%|█▌        | 289/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.220]
Epoch 0:  15%|█▌        | 290/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.220]
Epoch 0:  15%|█▌        | 290/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.190]
Epoch 0:  16%|█▌        | 291/1875 [00:04<00:25, 61.66it/s, v_num=6, train_loss=1.190]
Epoch 0:  16%|█▌        | 291/1875 [00:04<00:25, 61.65it/s, v_num=6, train_loss=1.470]
Epoch 0:  16%|█▌        | 292/1875 [00:04<00:25, 61.62it/s, v_num=6, train_loss=1.470]
Epoch 0:  16%|█▌        | 292/1875 [00:04<00:25, 61.62it/s, v_num=6, train_loss=1.270]
Epoch 0:  16%|█▌        | 293/1875 [00:04<00:25, 61.60it/s, v_num=6, train_loss=1.270]
Epoch 0:  16%|█▌        | 293/1875 [00:04<00:25, 61.60it/s, v_num=6, train_loss=1.440]
Epoch 0:  16%|█▌        | 294/1875 [00:04<00:25, 61.60it/s, v_num=6, train_loss=1.440]
Epoch 0:  16%|█▌        | 294/1875 [00:04<00:25, 61.60it/s, v_num=6, train_loss=1.690]
Epoch 0:  16%|█▌        | 295/1875 [00:04<00:25, 61.60it/s, v_num=6, train_loss=1.690]
Epoch 0:  16%|█▌        | 295/1875 [00:04<00:25, 61.60it/s, v_num=6, train_loss=1.650]
Epoch 0:  16%|█▌        | 296/1875 [00:04<00:25, 61.61it/s, v_num=6, train_loss=1.650]
Epoch 0:  16%|█▌        | 296/1875 [00:04<00:25, 61.60it/s, v_num=6, train_loss=1.650]
Epoch 0:  16%|█▌        | 297/1875 [00:04<00:25, 61.60it/s, v_num=6, train_loss=1.650]
Epoch 0:  16%|█▌        | 297/1875 [00:04<00:25, 61.60it/s, v_num=6, train_loss=1.260]
Epoch 0:  16%|█▌        | 298/1875 [00:04<00:25, 61.60it/s, v_num=6, train_loss=1.260]
Epoch 0:  16%|█▌        | 298/1875 [00:04<00:25, 61.60it/s, v_num=6, train_loss=1.100]
Epoch 0:  16%|█▌        | 299/1875 [00:04<00:25, 61.60it/s, v_num=6, train_loss=1.100]
Epoch 0:  16%|█▌        | 299/1875 [00:04<00:25, 61.60it/s, v_num=6, train_loss=1.060]
Epoch 0:  16%|█▌        | 300/1875 [00:04<00:25, 61.60it/s, v_num=6, train_loss=1.060]
Epoch 0:  16%|█▌        | 300/1875 [00:04<00:25, 61.60it/s, v_num=6, train_loss=1.140]
Epoch 0:  16%|█▌        | 301/1875 [00:04<00:25, 61.59it/s, v_num=6, train_loss=1.140]
Epoch 0:  16%|█▌        | 301/1875 [00:04<00:25, 61.59it/s, v_num=6, train_loss=1.240]
Epoch 0:  16%|█▌        | 302/1875 [00:04<00:25, 61.59it/s, v_num=6, train_loss=1.240]
Epoch 0:  16%|█▌        | 302/1875 [00:04<00:25, 61.59it/s, v_num=6, train_loss=0.835]
Epoch 0:  16%|█▌        | 303/1875 [00:04<00:25, 61.59it/s, v_num=6, train_loss=0.835]
Epoch 0:  16%|█▌        | 303/1875 [00:04<00:25, 61.59it/s, v_num=6, train_loss=0.960]
Epoch 0:  16%|█▌        | 304/1875 [00:04<00:25, 61.59it/s, v_num=6, train_loss=0.960]
Epoch 0:  16%|█▌        | 304/1875 [00:04<00:25, 61.59it/s, v_num=6, train_loss=0.884]
Epoch 0:  16%|█▋        | 305/1875 [00:04<00:25, 61.59it/s, v_num=6, train_loss=0.884]
Epoch 0:  16%|█▋        | 305/1875 [00:04<00:25, 61.58it/s, v_num=6, train_loss=1.000]
Epoch 0:  16%|█▋        | 306/1875 [00:04<00:25, 61.58it/s, v_num=6, train_loss=1.000]
Epoch 0:  16%|█▋        | 306/1875 [00:04<00:25, 61.58it/s, v_num=6, train_loss=1.160]
Epoch 0:  16%|█▋        | 307/1875 [00:04<00:25, 61.58it/s, v_num=6, train_loss=1.160]
Epoch 0:  16%|█▋        | 307/1875 [00:04<00:25, 61.57it/s, v_num=6, train_loss=1.190]
Epoch 0:  16%|█▋        | 308/1875 [00:05<00:25, 61.57it/s, v_num=6, train_loss=1.190]
Epoch 0:  16%|█▋        | 308/1875 [00:05<00:25, 61.57it/s, v_num=6, train_loss=1.150]
Epoch 0:  16%|█▋        | 309/1875 [00:05<00:25, 61.57it/s, v_num=6, train_loss=1.150]
Epoch 0:  16%|█▋        | 309/1875 [00:05<00:25, 61.57it/s, v_num=6, train_loss=1.050]
Epoch 0:  17%|█▋        | 310/1875 [00:05<00:25, 61.57it/s, v_num=6, train_loss=1.050]
Epoch 0:  17%|█▋        | 310/1875 [00:05<00:25, 61.57it/s, v_num=6, train_loss=0.987]
Epoch 0:  17%|█▋        | 311/1875 [00:05<00:25, 61.57it/s, v_num=6, train_loss=0.987]
Epoch 0:  17%|█▋        | 311/1875 [00:05<00:25, 61.57it/s, v_num=6, train_loss=1.380]
Epoch 0:  17%|█▋        | 312/1875 [00:05<00:25, 61.57it/s, v_num=6, train_loss=1.380]
Epoch 0:  17%|█▋        | 312/1875 [00:05<00:25, 61.56it/s, v_num=6, train_loss=1.550]
Epoch 0:  17%|█▋        | 313/1875 [00:05<00:25, 61.57it/s, v_num=6, train_loss=1.550]
Epoch 0:  17%|█▋        | 313/1875 [00:05<00:25, 61.57it/s, v_num=6, train_loss=1.140]
Epoch 0:  17%|█▋        | 314/1875 [00:05<00:25, 61.57it/s, v_num=6, train_loss=1.140]
Epoch 0:  17%|█▋        | 314/1875 [00:05<00:25, 61.57it/s, v_num=6, train_loss=1.210]
Epoch 0:  17%|█▋        | 315/1875 [00:05<00:25, 61.57it/s, v_num=6, train_loss=1.210]
Epoch 0:  17%|█▋        | 315/1875 [00:05<00:25, 61.57it/s, v_num=6, train_loss=1.170]
Epoch 0:  17%|█▋        | 316/1875 [00:05<00:25, 61.57it/s, v_num=6, train_loss=1.170]
Epoch 0:  17%|█▋        | 316/1875 [00:05<00:25, 61.57it/s, v_num=6, train_loss=1.060]
Epoch 0:  17%|█▋        | 317/1875 [00:05<00:25, 61.58it/s, v_num=6, train_loss=1.060]
Epoch 0:  17%|█▋        | 317/1875 [00:05<00:25, 61.57it/s, v_num=6, train_loss=0.976]
Epoch 0:  17%|█▋        | 318/1875 [00:05<00:25, 61.58it/s, v_num=6, train_loss=0.976]
Epoch 0:  17%|█▋        | 318/1875 [00:05<00:25, 61.58it/s, v_num=6, train_loss=1.250]
Epoch 0:  17%|█▋        | 319/1875 [00:05<00:25, 61.58it/s, v_num=6, train_loss=1.250]
Epoch 0:  17%|█▋        | 319/1875 [00:05<00:25, 61.58it/s, v_num=6, train_loss=0.988]
Epoch 0:  17%|█▋        | 320/1875 [00:05<00:25, 61.58it/s, v_num=6, train_loss=0.988]
Epoch 0:  17%|█▋        | 320/1875 [00:05<00:25, 61.58it/s, v_num=6, train_loss=1.340]
Epoch 0:  17%|█▋        | 321/1875 [00:05<00:25, 61.58it/s, v_num=6, train_loss=1.340]
Epoch 0:  17%|█▋        | 321/1875 [00:05<00:25, 61.58it/s, v_num=6, train_loss=1.840]
Epoch 0:  17%|█▋        | 322/1875 [00:05<00:25, 61.59it/s, v_num=6, train_loss=1.840]
Epoch 0:  17%|█▋        | 322/1875 [00:05<00:25, 61.58it/s, v_num=6, train_loss=1.500]
Epoch 0:  17%|█▋        | 323/1875 [00:05<00:25, 61.59it/s, v_num=6, train_loss=1.500]
Epoch 0:  17%|█▋        | 323/1875 [00:05<00:25, 61.59it/s, v_num=6, train_loss=1.400]
Epoch 0:  17%|█▋        | 324/1875 [00:05<00:25, 61.59it/s, v_num=6, train_loss=1.400]
Epoch 0:  17%|█▋        | 324/1875 [00:05<00:25, 61.59it/s, v_num=6, train_loss=1.290]
Epoch 0:  17%|█▋        | 325/1875 [00:05<00:25, 61.59it/s, v_num=6, train_loss=1.290]
Epoch 0:  17%|█▋        | 325/1875 [00:05<00:25, 61.59it/s, v_num=6, train_loss=1.460]
Epoch 0:  17%|█▋        | 326/1875 [00:05<00:25, 61.60it/s, v_num=6, train_loss=1.460]
Epoch 0:  17%|█▋        | 326/1875 [00:05<00:25, 61.59it/s, v_num=6, train_loss=1.260]
Epoch 0:  17%|█▋        | 327/1875 [00:05<00:25, 61.60it/s, v_num=6, train_loss=1.260]
Epoch 0:  17%|█▋        | 327/1875 [00:05<00:25, 61.60it/s, v_num=6, train_loss=1.300]
Epoch 0:  17%|█▋        | 328/1875 [00:05<00:25, 61.60it/s, v_num=6, train_loss=1.300]
Epoch 0:  17%|█▋        | 328/1875 [00:05<00:25, 61.60it/s, v_num=6, train_loss=1.270]
Epoch 0:  18%|█▊        | 329/1875 [00:05<00:25, 61.60it/s, v_num=6, train_loss=1.270]
Epoch 0:  18%|█▊        | 329/1875 [00:05<00:25, 61.60it/s, v_num=6, train_loss=1.390]
Epoch 0:  18%|█▊        | 330/1875 [00:05<00:25, 61.60it/s, v_num=6, train_loss=1.390]
Epoch 0:  18%|█▊        | 330/1875 [00:05<00:25, 61.60it/s, v_num=6, train_loss=0.955]
Epoch 0:  18%|█▊        | 331/1875 [00:05<00:25, 61.60it/s, v_num=6, train_loss=0.955]
Epoch 0:  18%|█▊        | 331/1875 [00:05<00:25, 61.60it/s, v_num=6, train_loss=0.940]
Epoch 0:  18%|█▊        | 332/1875 [00:05<00:25, 61.61it/s, v_num=6, train_loss=0.940]
Epoch 0:  18%|█▊        | 332/1875 [00:05<00:25, 61.60it/s, v_num=6, train_loss=1.220]
Epoch 0:  18%|█▊        | 333/1875 [00:05<00:25, 61.61it/s, v_num=6, train_loss=1.220]
Epoch 0:  18%|█▊        | 333/1875 [00:05<00:25, 61.61it/s, v_num=6, train_loss=0.929]
Epoch 0:  18%|█▊        | 334/1875 [00:05<00:25, 61.61it/s, v_num=6, train_loss=0.929]
Epoch 0:  18%|█▊        | 334/1875 [00:05<00:25, 61.61it/s, v_num=6, train_loss=0.868]
Epoch 0:  18%|█▊        | 335/1875 [00:05<00:24, 61.61it/s, v_num=6, train_loss=0.868]
Epoch 0:  18%|█▊        | 335/1875 [00:05<00:24, 61.61it/s, v_num=6, train_loss=1.020]
Epoch 0:  18%|█▊        | 336/1875 [00:05<00:24, 61.61it/s, v_num=6, train_loss=1.020]
Epoch 0:  18%|█▊        | 336/1875 [00:05<00:24, 61.61it/s, v_num=6, train_loss=1.160]
Epoch 0:  18%|█▊        | 337/1875 [00:05<00:24, 61.62it/s, v_num=6, train_loss=1.160]
Epoch 0:  18%|█▊        | 337/1875 [00:05<00:24, 61.61it/s, v_num=6, train_loss=1.370]
Epoch 0:  18%|█▊        | 338/1875 [00:05<00:24, 61.62it/s, v_num=6, train_loss=1.370]
Epoch 0:  18%|█▊        | 338/1875 [00:05<00:24, 61.61it/s, v_num=6, train_loss=1.550]
Epoch 0:  18%|█▊        | 339/1875 [00:05<00:24, 61.62it/s, v_num=6, train_loss=1.550]
Epoch 0:  18%|█▊        | 339/1875 [00:05<00:24, 61.62it/s, v_num=6, train_loss=1.640]
Epoch 0:  18%|█▊        | 340/1875 [00:05<00:24, 61.62it/s, v_num=6, train_loss=1.640]
Epoch 0:  18%|█▊        | 340/1875 [00:05<00:24, 61.62it/s, v_num=6, train_loss=1.220]
Epoch 0:  18%|█▊        | 341/1875 [00:05<00:24, 61.62it/s, v_num=6, train_loss=1.220]
Epoch 0:  18%|█▊        | 341/1875 [00:05<00:24, 61.62it/s, v_num=6, train_loss=1.370]
Epoch 0:  18%|█▊        | 342/1875 [00:05<00:24, 61.62it/s, v_num=6, train_loss=1.370]
Epoch 0:  18%|█▊        | 342/1875 [00:05<00:24, 61.62it/s, v_num=6, train_loss=1.030]
Epoch 0:  18%|█▊        | 343/1875 [00:05<00:24, 61.62it/s, v_num=6, train_loss=1.030]
Epoch 0:  18%|█▊        | 343/1875 [00:05<00:24, 61.62it/s, v_num=6, train_loss=1.160]
Epoch 0:  18%|█▊        | 344/1875 [00:05<00:24, 61.63it/s, v_num=6, train_loss=1.160]
Epoch 0:  18%|█▊        | 344/1875 [00:05<00:24, 61.62it/s, v_num=6, train_loss=1.050]
Epoch 0:  18%|█▊        | 345/1875 [00:05<00:24, 61.63it/s, v_num=6, train_loss=1.050]
Epoch 0:  18%|█▊        | 345/1875 [00:05<00:24, 61.62it/s, v_num=6, train_loss=1.020]
Epoch 0:  18%|█▊        | 346/1875 [00:05<00:24, 61.63it/s, v_num=6, train_loss=1.020]
Epoch 0:  18%|█▊        | 346/1875 [00:05<00:24, 61.63it/s, v_num=6, train_loss=0.910]
Epoch 0:  19%|█▊        | 347/1875 [00:05<00:24, 61.63it/s, v_num=6, train_loss=0.910]
Epoch 0:  19%|█▊        | 347/1875 [00:05<00:24, 61.63it/s, v_num=6, train_loss=0.917]
Epoch 0:  19%|█▊        | 348/1875 [00:05<00:24, 61.63it/s, v_num=6, train_loss=0.917]
Epoch 0:  19%|█▊        | 348/1875 [00:05<00:24, 61.63it/s, v_num=6, train_loss=0.782]
Epoch 0:  19%|█▊        | 349/1875 [00:05<00:24, 61.63it/s, v_num=6, train_loss=0.782]
Epoch 0:  19%|█▊        | 349/1875 [00:05<00:24, 61.63it/s, v_num=6, train_loss=0.885]
Epoch 0:  19%|█▊        | 350/1875 [00:05<00:24, 61.63it/s, v_num=6, train_loss=0.885]
Epoch 0:  19%|█▊        | 350/1875 [00:05<00:24, 61.63it/s, v_num=6, train_loss=0.897]
Epoch 0:  19%|█▊        | 351/1875 [00:05<00:24, 61.63it/s, v_num=6, train_loss=0.897]
Epoch 0:  19%|█▊        | 351/1875 [00:05<00:24, 61.63it/s, v_num=6, train_loss=1.460]
Epoch 0:  19%|█▉        | 352/1875 [00:05<00:24, 61.63it/s, v_num=6, train_loss=1.460]
Epoch 0:  19%|█▉        | 352/1875 [00:05<00:24, 61.63it/s, v_num=6, train_loss=1.520]
Epoch 0:  19%|█▉        | 353/1875 [00:05<00:24, 61.63it/s, v_num=6, train_loss=1.520]
Epoch 0:  19%|█▉        | 353/1875 [00:05<00:24, 61.63it/s, v_num=6, train_loss=1.040]
Epoch 0:  19%|█▉        | 354/1875 [00:05<00:24, 61.63it/s, v_num=6, train_loss=1.040]
Epoch 0:  19%|█▉        | 354/1875 [00:05<00:24, 61.63it/s, v_num=6, train_loss=0.798]
Epoch 0:  19%|█▉        | 355/1875 [00:05<00:24, 61.63it/s, v_num=6, train_loss=0.798]
Epoch 0:  19%|█▉        | 355/1875 [00:05<00:24, 61.63it/s, v_num=6, train_loss=1.190]
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Epoch 0:  19%|█▉        | 356/1875 [00:05<00:24, 61.62it/s, v_num=6, train_loss=1.570]
Epoch 0:  19%|█▉        | 357/1875 [00:05<00:24, 61.62it/s, v_num=6, train_loss=1.570]
Epoch 0:  19%|█▉        | 357/1875 [00:05<00:24, 61.62it/s, v_num=6, train_loss=1.330]
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Epoch 0:  19%|█▉        | 360/1875 [00:05<00:24, 61.62it/s, v_num=6, train_loss=1.010]
Epoch 0:  19%|█▉        | 361/1875 [00:05<00:24, 61.63it/s, v_num=6, train_loss=1.010]
Epoch 0:  19%|█▉        | 361/1875 [00:05<00:24, 61.62it/s, v_num=6, train_loss=0.955]
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Epoch 0:  24%|██▎       | 445/1875 [00:07<00:23, 61.67it/s, v_num=6, train_loss=0.820]
Epoch 0:  24%|██▍       | 446/1875 [00:07<00:23, 61.68it/s, v_num=6, train_loss=0.820]
Epoch 0:  24%|██▍       | 446/1875 [00:07<00:23, 61.68it/s, v_num=6, train_loss=0.614]
Epoch 0:  24%|██▍       | 447/1875 [00:07<00:23, 61.68it/s, v_num=6, train_loss=0.614]
Epoch 0:  24%|██▍       | 447/1875 [00:07<00:23, 61.68it/s, v_num=6, train_loss=0.693]
Epoch 0:  24%|██▍       | 448/1875 [00:07<00:23, 61.63it/s, v_num=6, train_loss=0.693]
Epoch 0:  24%|██▍       | 448/1875 [00:07<00:23, 61.63it/s, v_num=6, train_loss=0.547]
Epoch 0:  24%|██▍       | 449/1875 [00:07<00:23, 61.63it/s, v_num=6, train_loss=0.547]
Epoch 0:  24%|██▍       | 449/1875 [00:07<00:23, 61.63it/s, v_num=6, train_loss=0.844]
Epoch 0:  24%|██▍       | 450/1875 [00:07<00:23, 61.63