.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "examples/Custom/neural_net.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_examples_Custom_neural_net.py>`
        to download the full example code.

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_examples_Custom_neural_net.py:


Simple Neural Network
=====================

This example solves a simple binary classification problem using a basic
neural network with 2 layers.

The classification problem is generated by the make_moons dataset generator
from scikit--learn.

.. GENERATED FROM PYTHON SOURCE LINES 13-25

.. code-block:: Python

    import matplotlib.pyplot as plt
    from utils.plotting import plot_decision_boundary
    from tqdm import tqdm
    import torch as pt
    import torch.nn as nn
    from torch.utils.data import TensorDataset, DataLoader

    from sklearn.model_selection import train_test_split

    from skwdro.torch import robustify









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Problem setup
~~~~~~~~~~~~~

.. GENERATED FROM PYTHON SOURCE LINES 28-38

.. code-block:: Python


    from sklearn.datasets import make_moons

    n = 512 + 64

    X, y = make_moons(n_samples=n,
                      noise=0.05,
                      random_state=42)









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Visualize the data
~~~~~~~~~~~~~~~~~~

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.. code-block:: Python


    plt.scatter(X[:, 0], X[:, 1], c=y, cmap=plt.cm.RdYlBu)  # type: ignore
    plt.show()




.. image-sg:: /examples/Custom/images/sphx_glr_neural_net_001.png
   :alt: neural net
   :srcset: /examples/Custom/images/sphx_glr_neural_net_001.png
   :class: sphx-glr-single-img





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Preprocessing
~~~~~~~~~~~~~

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.. code-block:: Python


    # Split the data into train and test sets
    X_train, X_test, y_train, y_test = train_test_split(
        X,
        y,
        train_size=512,
        test_size=64,
        random_state=42
    )

    device = "cuda" if pt.cuda.is_available() else "cpu"

    # Turn data into tensors
    full_batch_x = pt.from_numpy(X_train).to(device)
    full_batch_y = pt.from_numpy(y_train).unsqueeze(-1).to(full_batch_x)
    dataset = DataLoader(
        TensorDataset(
            full_batch_x,
            full_batch_y
        ),
        batch_size=64
    )

    batch_x_test = pt.from_numpy(X_train).to(device)
    batch_y_test = pt.from_numpy(y_train).unsqueeze(-1).to(batch_x_test)









.. GENERATED FROM PYTHON SOURCE LINES 76-78

Two-layers model
~~~~~~~~~~~~~~~~

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.. code-block:: Python


    class SimpleNN(nn.Module):
        def __init__(self, in_features, out_features, hidden_units):
            super().__init__()
            # Two hidden layers and logit output
            self.linear_relu_stack = nn.Sequential(
                nn.Linear(in_features, hidden_units),
                nn.ReLU(),
                nn.Linear(hidden_units, hidden_units),
                nn.ReLU(),
                nn.Linear(hidden_units, out_features),
            )

        def forward(self, x):
            logits = self.linear_relu_stack(x)
            return logits









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Set the model up
~~~~~~~~~~~~~~~~

.. GENERATED FROM PYTHON SOURCE LINES 99-126

.. code-block:: Python


    model = SimpleNN(
        in_features=2,
        out_features=1,
        hidden_units=5
    ).to(full_batch_x)


    print(model)


    loss_fn = nn.BCEWithLogitsLoss(reduction='none')

    # Define a sample batch for initialization
    sample_batch_x, sample_batch_y = next(iter(dataset))


    # Robust loss
    robust_loss = robustify(
        loss_fn,
        model,
        pt.tensor(1e-4),
        sample_batch_x, sample_batch_y,
        cost_spec="t-NC-2-2",
        n_samples=16
    )  # Replaces the loss of the model by the dual WDRO loss





.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    SimpleNN(
      (linear_relu_stack): Sequential(
        (0): Linear(in_features=2, out_features=5, bias=True)
        (1): ReLU()
        (2): Linear(in_features=5, out_features=5, bias=True)
        (3): ReLU()
        (4): Linear(in_features=5, out_features=1, bias=True)
      )
    )




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Training loop
~~~~~~~~~~~~~

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.. code-block:: Python


    pt.manual_seed(42)
    epochs = 250

    # optimizer = pt.optim.AdamW(params=model.parameters(),lr=1e-2)
    optimizer = pt.optim.AdamW(params=robust_loss.parameters())


    # Training loop
    iterator = tqdm(range(epochs), position=0, desc='Epochs', leave=False)
    losses = []
    for epoch in iterator:

        avg_testloss = 0.
        for batch_x, batch_y in tqdm(dataset, position=1, desc='Sample', leave=False):

            # ## Training
            model.train()

            optimizer.zero_grad()
            # loss = loss_fn(model(batch_x.squeeze()), batch_y)
            loss = robust_loss(batch_x, batch_y, reset_sampler=True)
            loss.backward()
            optimizer.step()

            # ## Testing
            model.eval()
            with pt.no_grad():
                # Forward pass
                test_logits = model(batch_x_test)
                test_pred = pt.round(pt.sigmoid(test_logits))
                # Compute the loss
                avg_testloss += loss_fn(test_logits, batch_y_test).mean().item()
            iterator.set_postfix(
                {'acc': f"{(test_pred == batch_y_test).float().mean().item()*100}%"}
            )
            losses.append(loss.item())

        # Print
        iterator.set_postfix({'loss': avg_testloss / len(dataset)})






.. rst-class:: sphx-glr-script-out

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    Epochs:   6%|▌         | 14/250 [00:00<00:11, 19.67it/s, acc=50.5859375%]
    Epochs:   6%|▌         | 14/250 [00:00<00:11, 19.67it/s, acc=50.5859375%]
    Epochs:   6%|▌         | 14/250 [00:00<00:11, 19.67it/s, acc=50.5859375%]
    Epochs:   6%|▌         | 14/250 [00:00<00:11, 19.67it/s, acc=50.5859375%]
    Epochs:   6%|▌         | 14/250 [00:00<00:11, 19.67it/s, acc=50.5859375%]

                                                 
    Epochs:   6%|▌         | 14/250 [00:00<00:11, 19.67it/s, loss=0.688]     

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:   6%|▌         | 14/250 [00:00<00:11, 19.67it/s, acc=50.5859375%]
    Epochs:   6%|▌         | 14/250 [00:00<00:11, 19.67it/s, acc=50.5859375%]
    Epochs:   6%|▌         | 14/250 [00:00<00:11, 19.67it/s, acc=50.5859375%]
    Epochs:   6%|▌         | 14/250 [00:00<00:11, 19.67it/s, acc=50.5859375%]
    Epochs:   6%|▌         | 14/250 [00:00<00:11, 19.67it/s, acc=50.5859375%]
    Epochs:   6%|▌         | 14/250 [00:00<00:11, 19.67it/s, acc=50.5859375%]
    Epochs:   6%|▌         | 14/250 [00:00<00:11, 19.67it/s, acc=50.5859375%]
    Epochs:   6%|▌         | 14/250 [00:00<00:11, 19.67it/s, acc=50.5859375%]

                                                 
    Epochs:   6%|▌         | 14/250 [00:00<00:11, 19.67it/s, loss=0.687]     
    Epochs:   6%|▋         | 16/250 [00:00<00:11, 19.66it/s, loss=0.687]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:   6%|▋         | 16/250 [00:00<00:11, 19.66it/s, acc=50.5859375%]
    Epochs:   6%|▋         | 16/250 [00:00<00:11, 19.66it/s, acc=50.5859375%]
    Epochs:   6%|▋         | 16/250 [00:00<00:11, 19.66it/s, acc=50.5859375%]
    Epochs:   6%|▋         | 16/250 [00:00<00:11, 19.66it/s, acc=50.5859375%]
    Epochs:   6%|▋         | 16/250 [00:00<00:11, 19.66it/s, acc=50.5859375%]
    Epochs:   6%|▋         | 16/250 [00:00<00:11, 19.66it/s, acc=50.5859375%]
    Epochs:   6%|▋         | 16/250 [00:00<00:11, 19.66it/s, acc=50.5859375%]
    Epochs:   6%|▋         | 16/250 [00:00<00:11, 19.66it/s, acc=50.5859375%]

                                                 
    Epochs:   6%|▋         | 16/250 [00:00<00:11, 19.66it/s, loss=0.685]     

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:   6%|▋         | 16/250 [00:00<00:11, 19.66it/s, acc=50.5859375%]
    Epochs:   6%|▋         | 16/250 [00:00<00:11, 19.66it/s, acc=50.5859375%]
    Epochs:   6%|▋         | 16/250 [00:00<00:11, 19.66it/s, acc=50.5859375%]
    Epochs:   6%|▋         | 16/250 [00:00<00:11, 19.66it/s, acc=50.5859375%]
    Epochs:   6%|▋         | 16/250 [00:00<00:11, 19.66it/s, acc=50.5859375%]
    Epochs:   6%|▋         | 16/250 [00:00<00:11, 19.66it/s, acc=50.5859375%]
    Epochs:   6%|▋         | 16/250 [00:00<00:11, 19.66it/s, acc=50.5859375%]
    Epochs:   6%|▋         | 16/250 [00:00<00:11, 19.66it/s, acc=50.5859375%]

                                                 
    Epochs:   6%|▋         | 16/250 [00:00<00:11, 19.66it/s, loss=0.683]     
    Epochs:   7%|▋         | 18/250 [00:00<00:11, 19.68it/s, loss=0.683]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:   7%|▋         | 18/250 [00:00<00:11, 19.68it/s, acc=50.5859375%]
    Epochs:   7%|▋         | 18/250 [00:00<00:11, 19.68it/s, acc=50.5859375%]
    Epochs:   7%|▋         | 18/250 [00:00<00:11, 19.68it/s, acc=50.5859375%]
    Epochs:   7%|▋         | 18/250 [00:00<00:11, 19.68it/s, acc=50.5859375%]
    Epochs:   7%|▋         | 18/250 [00:00<00:11, 19.68it/s, acc=50.5859375%]
    Epochs:   7%|▋         | 18/250 [00:00<00:11, 19.68it/s, acc=50.5859375%]
    Epochs:   7%|▋         | 18/250 [00:00<00:11, 19.68it/s, acc=50.5859375%]
    Epochs:   7%|▋         | 18/250 [00:00<00:11, 19.68it/s, acc=50.5859375%]

                                                 
    Epochs:   7%|▋         | 18/250 [00:00<00:11, 19.68it/s, loss=0.681]     

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:   7%|▋         | 18/250 [00:00<00:11, 19.68it/s, acc=50.5859375%]
    Epochs:   7%|▋         | 18/250 [00:00<00:11, 19.68it/s, acc=50.5859375%]
    Epochs:   7%|▋         | 18/250 [00:00<00:11, 19.68it/s, acc=50.5859375%]
    Epochs:   7%|▋         | 18/250 [00:00<00:11, 19.68it/s, acc=50.5859375%]
    Epochs:   7%|▋         | 18/250 [00:00<00:11, 19.68it/s, acc=50.5859375%]
    Epochs:   7%|▋         | 18/250 [00:01<00:11, 19.68it/s, acc=50.5859375%]
    Epochs:   7%|▋         | 18/250 [00:01<00:11, 19.68it/s, acc=50.5859375%]
    Epochs:   7%|▋         | 18/250 [00:01<00:11, 19.68it/s, acc=50.5859375%]

                                                 
    Epochs:   7%|▋         | 18/250 [00:01<00:11, 19.68it/s, loss=0.679]     
    Epochs:   8%|▊         | 20/250 [00:01<00:11, 19.71it/s, loss=0.679]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:   8%|▊         | 20/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]
    Epochs:   8%|▊         | 20/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]
    Epochs:   8%|▊         | 20/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]
    Epochs:   8%|▊         | 20/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]
    Epochs:   8%|▊         | 20/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]
    Epochs:   8%|▊         | 20/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]
    Epochs:   8%|▊         | 20/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]
    Epochs:   8%|▊         | 20/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]

                                                 
    Epochs:   8%|▊         | 20/250 [00:01<00:11, 19.71it/s, loss=0.677]     

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:   8%|▊         | 20/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]
    Epochs:   8%|▊         | 20/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]
    Epochs:   8%|▊         | 20/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]
    Epochs:   8%|▊         | 20/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]
    Epochs:   8%|▊         | 20/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]
    Epochs:   8%|▊         | 20/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]
    Epochs:   8%|▊         | 20/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]
    Epochs:   8%|▊         | 20/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]

                                                 
    Epochs:   8%|▊         | 20/250 [00:01<00:11, 19.71it/s, loss=0.675]     
    Epochs:   9%|▉         | 22/250 [00:01<00:11, 19.74it/s, loss=0.675]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:   9%|▉         | 22/250 [00:01<00:11, 19.74it/s, acc=50.5859375%]
    Epochs:   9%|▉         | 22/250 [00:01<00:11, 19.74it/s, acc=50.5859375%]
    Epochs:   9%|▉         | 22/250 [00:01<00:11, 19.74it/s, acc=50.5859375%]
    Epochs:   9%|▉         | 22/250 [00:01<00:11, 19.74it/s, acc=50.5859375%]
    Epochs:   9%|▉         | 22/250 [00:01<00:11, 19.74it/s, acc=50.5859375%]
    Epochs:   9%|▉         | 22/250 [00:01<00:11, 19.74it/s, acc=50.5859375%]
    Epochs:   9%|▉         | 22/250 [00:01<00:11, 19.74it/s, acc=50.5859375%]
    Epochs:   9%|▉         | 22/250 [00:01<00:11, 19.74it/s, acc=50.5859375%]

                                                 
    Epochs:   9%|▉         | 22/250 [00:01<00:11, 19.74it/s, loss=0.673]     

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:   9%|▉         | 22/250 [00:01<00:11, 19.74it/s, acc=50.5859375%]
    Epochs:   9%|▉         | 22/250 [00:01<00:11, 19.74it/s, acc=50.5859375%]
    Epochs:   9%|▉         | 22/250 [00:01<00:11, 19.74it/s, acc=50.5859375%]
    Epochs:   9%|▉         | 22/250 [00:01<00:11, 19.74it/s, acc=50.5859375%]
    Epochs:   9%|▉         | 22/250 [00:01<00:11, 19.74it/s, acc=50.5859375%]
    Epochs:   9%|▉         | 22/250 [00:01<00:11, 19.74it/s, acc=50.5859375%]
    Epochs:   9%|▉         | 22/250 [00:01<00:11, 19.74it/s, acc=50.5859375%]
    Epochs:   9%|▉         | 22/250 [00:01<00:11, 19.74it/s, acc=50.5859375%]

                                                 
    Epochs:   9%|▉         | 22/250 [00:01<00:11, 19.74it/s, loss=0.671]     
    Epochs:  10%|▉         | 24/250 [00:01<00:11, 19.71it/s, loss=0.671]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  10%|▉         | 24/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]
    Epochs:  10%|▉         | 24/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]
    Epochs:  10%|▉         | 24/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]
    Epochs:  10%|▉         | 24/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]
    Epochs:  10%|▉         | 24/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]
    Epochs:  10%|▉         | 24/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]
    Epochs:  10%|▉         | 24/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]
    Epochs:  10%|▉         | 24/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]

                                                 
    Epochs:  10%|▉         | 24/250 [00:01<00:11, 19.71it/s, loss=0.669]     

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  10%|▉         | 24/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]
    Epochs:  10%|▉         | 24/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]
    Epochs:  10%|▉         | 24/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]
    Epochs:  10%|▉         | 24/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]
    Epochs:  10%|▉         | 24/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]
    Epochs:  10%|▉         | 24/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]
    Epochs:  10%|▉         | 24/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]
    Epochs:  10%|▉         | 24/250 [00:01<00:11, 19.71it/s, acc=50.5859375%]

                                                 
    Epochs:  10%|▉         | 24/250 [00:01<00:11, 19.71it/s, loss=0.667]     
    Epochs:  10%|█         | 26/250 [00:01<00:11, 19.73it/s, loss=0.667]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  10%|█         | 26/250 [00:01<00:11, 19.73it/s, acc=50.5859375%]
    Epochs:  10%|█         | 26/250 [00:01<00:11, 19.73it/s, acc=50.5859375%]
    Epochs:  10%|█         | 26/250 [00:01<00:11, 19.73it/s, acc=50.5859375%]
    Epochs:  10%|█         | 26/250 [00:01<00:11, 19.73it/s, acc=50.5859375%]
    Epochs:  10%|█         | 26/250 [00:01<00:11, 19.73it/s, acc=50.5859375%]
    Epochs:  10%|█         | 26/250 [00:01<00:11, 19.73it/s, acc=50.5859375%]
    Epochs:  10%|█         | 26/250 [00:01<00:11, 19.73it/s, acc=50.5859375%]
    Epochs:  10%|█         | 26/250 [00:01<00:11, 19.73it/s, acc=50.5859375%]

                                                 
    Epochs:  10%|█         | 26/250 [00:01<00:11, 19.73it/s, loss=0.664]     

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  10%|█         | 26/250 [00:01<00:11, 19.73it/s, acc=50.5859375%]
    Epochs:  10%|█         | 26/250 [00:01<00:11, 19.73it/s, acc=50.5859375%]
    Epochs:  10%|█         | 26/250 [00:01<00:11, 19.73it/s, acc=50.5859375%]
    Epochs:  10%|█         | 26/250 [00:01<00:11, 19.73it/s, acc=50.5859375%]
    Epochs:  10%|█         | 26/250 [00:01<00:11, 19.73it/s, acc=50.5859375%]
    Epochs:  10%|█         | 26/250 [00:01<00:11, 19.73it/s, acc=50.5859375%]
    Epochs:  10%|█         | 26/250 [00:01<00:11, 19.73it/s, acc=50.5859375%]
    Epochs:  10%|█         | 26/250 [00:01<00:11, 19.73it/s, acc=50.5859375%]

                                                 
    Epochs:  10%|█         | 26/250 [00:01<00:11, 19.73it/s, loss=0.662]     
    Epochs:  11%|█         | 28/250 [00:01<00:11, 19.75it/s, loss=0.662]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  11%|█         | 28/250 [00:01<00:11, 19.75it/s, acc=50.5859375%]
    Epochs:  11%|█         | 28/250 [00:01<00:11, 19.75it/s, acc=50.5859375%]
    Epochs:  11%|█         | 28/250 [00:01<00:11, 19.75it/s, acc=50.5859375%]
    Epochs:  11%|█         | 28/250 [00:01<00:11, 19.75it/s, acc=50.5859375%]
    Epochs:  11%|█         | 28/250 [00:01<00:11, 19.75it/s, acc=50.5859375%]
    Epochs:  11%|█         | 28/250 [00:01<00:11, 19.75it/s, acc=50.5859375%]
    Epochs:  11%|█         | 28/250 [00:01<00:11, 19.75it/s, acc=50.5859375%]
    Epochs:  11%|█         | 28/250 [00:01<00:11, 19.75it/s, acc=50.5859375%]

                                                 
    Epochs:  11%|█         | 28/250 [00:01<00:11, 19.75it/s, loss=0.66]      

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  11%|█         | 28/250 [00:01<00:11, 19.75it/s, acc=50.5859375%]
    Epochs:  11%|█         | 28/250 [00:01<00:11, 19.75it/s, acc=50.5859375%]
    Epochs:  11%|█         | 28/250 [00:01<00:11, 19.75it/s, acc=50.5859375%]
    Epochs:  11%|█         | 28/250 [00:01<00:11, 19.75it/s, acc=50.5859375%]
    Epochs:  11%|█         | 28/250 [00:01<00:11, 19.75it/s, acc=50.5859375%]
    Epochs:  11%|█         | 28/250 [00:01<00:11, 19.75it/s, acc=50.5859375%]
    Epochs:  11%|█         | 28/250 [00:01<00:11, 19.75it/s, acc=50.5859375%]
    Epochs:  11%|█         | 28/250 [00:01<00:11, 19.75it/s, acc=50.5859375%]

                                                 
    Epochs:  11%|█         | 28/250 [00:01<00:11, 19.75it/s, loss=0.658]     
    Epochs:  12%|█▏        | 30/250 [00:01<00:11, 19.58it/s, loss=0.658]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  12%|█▏        | 30/250 [00:01<00:11, 19.58it/s, acc=50.5859375%]
    Epochs:  12%|█▏        | 30/250 [00:01<00:11, 19.58it/s, acc=50.5859375%]
    Epochs:  12%|█▏        | 30/250 [00:01<00:11, 19.58it/s, acc=50.5859375%]
    Epochs:  12%|█▏        | 30/250 [00:01<00:11, 19.58it/s, acc=50.5859375%]
    Epochs:  12%|█▏        | 30/250 [00:01<00:11, 19.58it/s, acc=50.5859375%]
    Epochs:  12%|█▏        | 30/250 [00:01<00:11, 19.58it/s, acc=50.5859375%]
    Epochs:  12%|█▏        | 30/250 [00:01<00:11, 19.58it/s, acc=50.5859375%]
    Epochs:  12%|█▏        | 30/250 [00:01<00:11, 19.58it/s, acc=50.5859375%]

                                                 
    Epochs:  12%|█▏        | 30/250 [00:01<00:11, 19.58it/s, loss=0.656]     

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  12%|█▏        | 30/250 [00:01<00:11, 19.58it/s, acc=50.5859375%]
    Epochs:  12%|█▏        | 30/250 [00:01<00:11, 19.58it/s, acc=50.5859375%]
    Epochs:  12%|█▏        | 30/250 [00:01<00:11, 19.58it/s, acc=50.5859375%]
    Epochs:  12%|█▏        | 30/250 [00:01<00:11, 19.58it/s, acc=50.5859375%]
    Epochs:  12%|█▏        | 30/250 [00:01<00:11, 19.58it/s, acc=50.5859375%]
    Epochs:  12%|█▏        | 30/250 [00:01<00:11, 19.58it/s, acc=50.5859375%]
    Epochs:  12%|█▏        | 30/250 [00:01<00:11, 19.58it/s, acc=50.5859375%]
    Epochs:  12%|█▏        | 30/250 [00:01<00:11, 19.58it/s, acc=50.5859375%]

                                                 
    Epochs:  12%|█▏        | 30/250 [00:01<00:11, 19.58it/s, loss=0.653]     
    Epochs:  13%|█▎        | 32/250 [00:01<00:11, 19.60it/s, loss=0.653]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  13%|█▎        | 32/250 [00:01<00:11, 19.60it/s, acc=50.5859375%]
    Epochs:  13%|█▎        | 32/250 [00:01<00:11, 19.60it/s, acc=50.5859375%]
    Epochs:  13%|█▎        | 32/250 [00:01<00:11, 19.60it/s, acc=50.5859375%]
    Epochs:  13%|█▎        | 32/250 [00:01<00:11, 19.60it/s, acc=50.5859375%]
    Epochs:  13%|█▎        | 32/250 [00:01<00:11, 19.60it/s, acc=50.5859375%]
    Epochs:  13%|█▎        | 32/250 [00:01<00:11, 19.60it/s, acc=50.5859375%]
    Epochs:  13%|█▎        | 32/250 [00:01<00:11, 19.60it/s, acc=50.5859375%]
    Epochs:  13%|█▎        | 32/250 [00:01<00:11, 19.60it/s, acc=50.5859375%]

                                                 
    Epochs:  13%|█▎        | 32/250 [00:01<00:11, 19.60it/s, loss=0.651]     

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  13%|█▎        | 32/250 [00:01<00:11, 19.60it/s, acc=50.5859375%]
    Epochs:  13%|█▎        | 32/250 [00:01<00:11, 19.60it/s, acc=50.5859375%]
    Epochs:  13%|█▎        | 32/250 [00:01<00:11, 19.60it/s, acc=50.5859375%]
    Epochs:  13%|█▎        | 32/250 [00:01<00:11, 19.60it/s, acc=50.5859375%]
    Epochs:  13%|█▎        | 32/250 [00:01<00:11, 19.60it/s, acc=50.5859375%]
    Epochs:  13%|█▎        | 32/250 [00:01<00:11, 19.60it/s, acc=50.5859375%]
    Epochs:  13%|█▎        | 32/250 [00:01<00:11, 19.60it/s, acc=50.5859375%]
    Epochs:  13%|█▎        | 32/250 [00:01<00:11, 19.60it/s, acc=50.5859375%]

                                                 
    Epochs:  13%|█▎        | 32/250 [00:01<00:11, 19.60it/s, loss=0.648]     
    Epochs:  14%|█▎        | 34/250 [00:01<00:11, 19.53it/s, loss=0.648]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  14%|█▎        | 34/250 [00:01<00:11, 19.53it/s, acc=50.5859375%]
    Epochs:  14%|█▎        | 34/250 [00:01<00:11, 19.53it/s, acc=50.5859375%]
    Epochs:  14%|█▎        | 34/250 [00:01<00:11, 19.53it/s, acc=50.5859375%]
    Epochs:  14%|█▎        | 34/250 [00:01<00:11, 19.53it/s, acc=50.5859375%]
    Epochs:  14%|█▎        | 34/250 [00:01<00:11, 19.53it/s, acc=50.5859375%]
    Epochs:  14%|█▎        | 34/250 [00:01<00:11, 19.53it/s, acc=50.5859375%]
    Epochs:  14%|█▎        | 34/250 [00:01<00:11, 19.53it/s, acc=50.5859375%]
    Epochs:  14%|█▎        | 34/250 [00:01<00:11, 19.53it/s, acc=50.5859375%]

                                                 
    Epochs:  14%|█▎        | 34/250 [00:01<00:11, 19.53it/s, loss=0.646]     

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  14%|█▎        | 34/250 [00:01<00:11, 19.53it/s, acc=50.5859375%]
    Epochs:  14%|█▎        | 34/250 [00:01<00:11, 19.53it/s, acc=50.5859375%]
    Epochs:  14%|█▎        | 34/250 [00:01<00:11, 19.53it/s, acc=50.5859375%]
    Epochs:  14%|█▎        | 34/250 [00:01<00:11, 19.53it/s, acc=50.5859375%]
    Epochs:  14%|█▎        | 34/250 [00:01<00:11, 19.53it/s, acc=50.5859375%]
    Epochs:  14%|█▎        | 34/250 [00:01<00:11, 19.53it/s, acc=50.5859375%]
    Epochs:  14%|█▎        | 34/250 [00:01<00:11, 19.53it/s, acc=50.5859375%]
    Epochs:  14%|█▎        | 34/250 [00:01<00:11, 19.53it/s, acc=50.5859375%]

                                                 
    Epochs:  14%|█▎        | 34/250 [00:01<00:11, 19.53it/s, loss=0.643]     
    Epochs:  14%|█▍        | 36/250 [00:01<00:10, 19.61it/s, loss=0.643]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  14%|█▍        | 36/250 [00:01<00:10, 19.61it/s, acc=50.5859375%]
    Epochs:  14%|█▍        | 36/250 [00:01<00:10, 19.61it/s, acc=50.5859375%]
    Epochs:  14%|█▍        | 36/250 [00:01<00:10, 19.61it/s, acc=50.5859375%]
    Epochs:  14%|█▍        | 36/250 [00:01<00:10, 19.61it/s, acc=50.5859375%]
    Epochs:  14%|█▍        | 36/250 [00:01<00:10, 19.61it/s, acc=50.5859375%]
    Epochs:  14%|█▍        | 36/250 [00:01<00:10, 19.61it/s, acc=50.5859375%]
    Epochs:  14%|█▍        | 36/250 [00:01<00:10, 19.61it/s, acc=50.5859375%]
    Epochs:  14%|█▍        | 36/250 [00:01<00:10, 19.61it/s, acc=50.5859375%]

                                                 
    Epochs:  14%|█▍        | 36/250 [00:01<00:10, 19.61it/s, loss=0.641]     

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  14%|█▍        | 36/250 [00:01<00:10, 19.61it/s, acc=50.5859375%]
    Epochs:  14%|█▍        | 36/250 [00:01<00:10, 19.61it/s, acc=50.5859375%]
    Epochs:  14%|█▍        | 36/250 [00:01<00:10, 19.61it/s, acc=50.5859375%]
    Epochs:  14%|█▍        | 36/250 [00:01<00:10, 19.61it/s, acc=50.5859375%]
    Epochs:  14%|█▍        | 36/250 [00:01<00:10, 19.61it/s, acc=50.5859375%]
    Epochs:  14%|█▍        | 36/250 [00:01<00:10, 19.61it/s, acc=50.5859375%]
    Epochs:  14%|█▍        | 36/250 [00:01<00:10, 19.61it/s, acc=50.5859375%]
    Epochs:  14%|█▍        | 36/250 [00:01<00:10, 19.61it/s, acc=50.5859375%]

                                                 
    Epochs:  14%|█▍        | 36/250 [00:01<00:10, 19.61it/s, loss=0.638]     
    Epochs:  15%|█▌        | 38/250 [00:01<00:10, 19.65it/s, loss=0.638]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  15%|█▌        | 38/250 [00:01<00:10, 19.65it/s, acc=50.5859375%]
    Epochs:  15%|█▌        | 38/250 [00:01<00:10, 19.65it/s, acc=50.5859375%]
    Epochs:  15%|█▌        | 38/250 [00:01<00:10, 19.65it/s, acc=50.5859375%]
    Epochs:  15%|█▌        | 38/250 [00:01<00:10, 19.65it/s, acc=50.5859375%]
    Epochs:  15%|█▌        | 38/250 [00:01<00:10, 19.65it/s, acc=50.5859375%]
    Epochs:  15%|█▌        | 38/250 [00:01<00:10, 19.65it/s, acc=50.5859375%]
    Epochs:  15%|█▌        | 38/250 [00:01<00:10, 19.65it/s, acc=50.5859375%]
    Epochs:  15%|█▌        | 38/250 [00:01<00:10, 19.65it/s, acc=50.5859375%]

                                                 
    Epochs:  15%|█▌        | 38/250 [00:01<00:10, 19.65it/s, loss=0.636]     

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  15%|█▌        | 38/250 [00:01<00:10, 19.65it/s, acc=50.5859375%]
    Epochs:  15%|█▌        | 38/250 [00:02<00:10, 19.65it/s, acc=50.5859375%]
    Epochs:  15%|█▌        | 38/250 [00:02<00:10, 19.65it/s, acc=50.5859375%]
    Epochs:  15%|█▌        | 38/250 [00:02<00:10, 19.65it/s, acc=50.5859375%]
    Epochs:  15%|█▌        | 38/250 [00:02<00:10, 19.65it/s, acc=50.5859375%]
    Epochs:  15%|█▌        | 38/250 [00:02<00:10, 19.65it/s, acc=50.5859375%]
    Epochs:  15%|█▌        | 38/250 [00:02<00:10, 19.65it/s, acc=50.5859375%]
    Epochs:  15%|█▌        | 38/250 [00:02<00:10, 19.65it/s, acc=50.5859375%]

                                                 
    Epochs:  15%|█▌        | 38/250 [00:02<00:10, 19.65it/s, loss=0.633]     
    Epochs:  16%|█▌        | 40/250 [00:02<00:10, 19.59it/s, loss=0.633]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  16%|█▌        | 40/250 [00:02<00:10, 19.59it/s, acc=50.5859375%]
    Epochs:  16%|█▌        | 40/250 [00:02<00:10, 19.59it/s, acc=50.5859375%]
    Epochs:  16%|█▌        | 40/250 [00:02<00:10, 19.59it/s, acc=50.5859375%]
    Epochs:  16%|█▌        | 40/250 [00:02<00:10, 19.59it/s, acc=50.5859375%]
    Epochs:  16%|█▌        | 40/250 [00:02<00:10, 19.59it/s, acc=50.5859375%]
    Epochs:  16%|█▌        | 40/250 [00:02<00:10, 19.59it/s, acc=50.5859375%]
    Epochs:  16%|█▌        | 40/250 [00:02<00:10, 19.59it/s, acc=50.5859375%]
    Epochs:  16%|█▌        | 40/250 [00:02<00:10, 19.59it/s, acc=50.5859375%]

                                                 
    Epochs:  16%|█▌        | 40/250 [00:02<00:10, 19.59it/s, loss=0.631]     

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  16%|█▌        | 40/250 [00:02<00:10, 19.59it/s, acc=50.5859375%]
    Epochs:  16%|█▌        | 40/250 [00:02<00:10, 19.59it/s, acc=50.5859375%]
    Epochs:  16%|█▌        | 40/250 [00:02<00:10, 19.59it/s, acc=50.5859375%]
    Epochs:  16%|█▌        | 40/250 [00:02<00:10, 19.59it/s, acc=50.5859375%]
    Epochs:  16%|█▌        | 40/250 [00:02<00:10, 19.59it/s, acc=50.5859375%]
    Epochs:  16%|█▌        | 40/250 [00:02<00:10, 19.59it/s, acc=50.5859375%]
    Epochs:  16%|█▌        | 40/250 [00:02<00:10, 19.59it/s, acc=50.5859375%]
    Epochs:  16%|█▌        | 40/250 [00:02<00:10, 19.59it/s, acc=50.5859375%]

                                                 
    Epochs:  16%|█▌        | 40/250 [00:02<00:10, 19.59it/s, loss=0.628]     
    Epochs:  17%|█▋        | 42/250 [00:02<00:10, 19.60it/s, loss=0.628]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  17%|█▋        | 42/250 [00:02<00:10, 19.60it/s, acc=50.5859375%]
    Epochs:  17%|█▋        | 42/250 [00:02<00:10, 19.60it/s, acc=50.5859375%]
    Epochs:  17%|█▋        | 42/250 [00:02<00:10, 19.60it/s, acc=50.5859375%]
    Epochs:  17%|█▋        | 42/250 [00:02<00:10, 19.60it/s, acc=50.5859375%]
    Epochs:  17%|█▋        | 42/250 [00:02<00:10, 19.60it/s, acc=50.5859375%]
    Epochs:  17%|█▋        | 42/250 [00:02<00:10, 19.60it/s, acc=50.5859375%]
    Epochs:  17%|█▋        | 42/250 [00:02<00:10, 19.60it/s, acc=50.5859375%]
    Epochs:  17%|█▋        | 42/250 [00:02<00:10, 19.60it/s, acc=50.5859375%]

                                                 
    Epochs:  17%|█▋        | 42/250 [00:02<00:10, 19.60it/s, loss=0.626]     

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  17%|█▋        | 42/250 [00:02<00:10, 19.60it/s, acc=50.5859375%]
    Epochs:  17%|█▋        | 42/250 [00:02<00:10, 19.60it/s, acc=50.5859375%]
    Epochs:  17%|█▋        | 42/250 [00:02<00:10, 19.60it/s, acc=50.5859375%]
    Epochs:  17%|█▋        | 42/250 [00:02<00:10, 19.60it/s, acc=50.5859375%]
    Epochs:  17%|█▋        | 42/250 [00:02<00:10, 19.60it/s, acc=50.5859375%]
    Epochs:  17%|█▋        | 42/250 [00:02<00:10, 19.60it/s, acc=50.5859375%]
    Epochs:  17%|█▋        | 42/250 [00:02<00:10, 19.60it/s, acc=50.5859375%]
    Epochs:  17%|█▋        | 42/250 [00:02<00:10, 19.60it/s, acc=50.5859375%]

                                                 
    Epochs:  17%|█▋        | 42/250 [00:02<00:10, 19.60it/s, loss=0.623]     
    Epochs:  18%|█▊        | 44/250 [00:02<00:10, 19.65it/s, loss=0.623]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  18%|█▊        | 44/250 [00:02<00:10, 19.65it/s, acc=50.5859375%]
    Epochs:  18%|█▊        | 44/250 [00:02<00:10, 19.65it/s, acc=50.5859375%]
    Epochs:  18%|█▊        | 44/250 [00:02<00:10, 19.65it/s, acc=50.5859375%]
    Epochs:  18%|█▊        | 44/250 [00:02<00:10, 19.65it/s, acc=50.5859375%]
    Epochs:  18%|█▊        | 44/250 [00:02<00:10, 19.65it/s, acc=50.5859375%]
    Epochs:  18%|█▊        | 44/250 [00:02<00:10, 19.65it/s, acc=50.5859375%]
    Epochs:  18%|█▊        | 44/250 [00:02<00:10, 19.65it/s, acc=50.5859375%]
    Epochs:  18%|█▊        | 44/250 [00:02<00:10, 19.65it/s, acc=50.5859375%]

                                                 
    Epochs:  18%|█▊        | 44/250 [00:02<00:10, 19.65it/s, loss=0.62]      

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  18%|█▊        | 44/250 [00:02<00:10, 19.65it/s, acc=50.5859375%]
    Epochs:  18%|█▊        | 44/250 [00:02<00:10, 19.65it/s, acc=50.5859375%]
    Epochs:  18%|█▊        | 44/250 [00:02<00:10, 19.65it/s, acc=50.5859375%]
    Epochs:  18%|█▊        | 44/250 [00:02<00:10, 19.65it/s, acc=50.5859375%]
    Epochs:  18%|█▊        | 44/250 [00:02<00:10, 19.65it/s, acc=50.5859375%]
    Epochs:  18%|█▊        | 44/250 [00:02<00:10, 19.65it/s, acc=50.5859375%]
    Epochs:  18%|█▊        | 44/250 [00:02<00:10, 19.65it/s, acc=50.5859375%]
    Epochs:  18%|█▊        | 44/250 [00:02<00:10, 19.65it/s, acc=50.5859375%]

                                                 
    Epochs:  18%|█▊        | 44/250 [00:02<00:10, 19.65it/s, loss=0.618]     
    Epochs:  18%|█▊        | 46/250 [00:02<00:10, 19.62it/s, loss=0.618]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  18%|█▊        | 46/250 [00:02<00:10, 19.62it/s, acc=50.5859375%]
    Epochs:  18%|█▊        | 46/250 [00:02<00:10, 19.62it/s, acc=50.5859375%]
    Epochs:  18%|█▊        | 46/250 [00:02<00:10, 19.62it/s, acc=50.5859375%]
    Epochs:  18%|█▊        | 46/250 [00:02<00:10, 19.62it/s, acc=50.5859375%]
    Epochs:  18%|█▊        | 46/250 [00:02<00:10, 19.62it/s, acc=50.5859375%]
    Epochs:  18%|█▊        | 46/250 [00:02<00:10, 19.62it/s, acc=50.5859375%]
    Epochs:  18%|█▊        | 46/250 [00:02<00:10, 19.62it/s, acc=50.5859375%]
    Epochs:  18%|█▊        | 46/250 [00:02<00:10, 19.62it/s, acc=50.5859375%]

                                                 
    Epochs:  18%|█▊        | 46/250 [00:02<00:10, 19.62it/s, loss=0.615]     

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  18%|█▊        | 46/250 [00:02<00:10, 19.62it/s, acc=50.5859375%]
    Epochs:  18%|█▊        | 46/250 [00:02<00:10, 19.62it/s, acc=50.5859375%]
    Epochs:  18%|█▊        | 46/250 [00:02<00:10, 19.62it/s, acc=50.5859375%]
    Epochs:  18%|█▊        | 46/250 [00:02<00:10, 19.62it/s, acc=50.5859375%]
    Epochs:  18%|█▊        | 46/250 [00:02<00:10, 19.62it/s, acc=50.5859375%]
    Epochs:  18%|█▊        | 46/250 [00:02<00:10, 19.62it/s, acc=50.5859375%]
    Epochs:  18%|█▊        | 46/250 [00:02<00:10, 19.62it/s, acc=50.5859375%]
    Epochs:  18%|█▊        | 46/250 [00:02<00:10, 19.62it/s, acc=50.5859375%]

                                                 
    Epochs:  18%|█▊        | 46/250 [00:02<00:10, 19.62it/s, loss=0.613]     
    Epochs:  19%|█▉        | 48/250 [00:02<00:10, 19.51it/s, loss=0.613]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  19%|█▉        | 48/250 [00:02<00:10, 19.51it/s, acc=50.5859375%]
    Epochs:  19%|█▉        | 48/250 [00:02<00:10, 19.51it/s, acc=50.5859375%]
    Epochs:  19%|█▉        | 48/250 [00:02<00:10, 19.51it/s, acc=50.5859375%]
    Epochs:  19%|█▉        | 48/250 [00:02<00:10, 19.51it/s, acc=50.5859375%]
    Epochs:  19%|█▉        | 48/250 [00:02<00:10, 19.51it/s, acc=50.5859375%]
    Epochs:  19%|█▉        | 48/250 [00:02<00:10, 19.51it/s, acc=50.5859375%]
    Epochs:  19%|█▉        | 48/250 [00:02<00:10, 19.51it/s, acc=50.5859375%]
    Epochs:  19%|█▉        | 48/250 [00:02<00:10, 19.51it/s, acc=50.5859375%]

                                                 
    Epochs:  19%|█▉        | 48/250 [00:02<00:10, 19.51it/s, loss=0.61]      

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  19%|█▉        | 48/250 [00:02<00:10, 19.51it/s, acc=50.5859375%]
    Epochs:  19%|█▉        | 48/250 [00:02<00:10, 19.51it/s, acc=50.5859375%]
    Epochs:  19%|█▉        | 48/250 [00:02<00:10, 19.51it/s, acc=50.5859375%]
    Epochs:  19%|█▉        | 48/250 [00:02<00:10, 19.51it/s, acc=50.5859375%]
    Epochs:  19%|█▉        | 48/250 [00:02<00:10, 19.51it/s, acc=50.5859375%]
    Epochs:  19%|█▉        | 48/250 [00:02<00:10, 19.51it/s, acc=50.5859375%]
    Epochs:  19%|█▉        | 48/250 [00:02<00:10, 19.51it/s, acc=50.5859375%]
    Epochs:  19%|█▉        | 48/250 [00:02<00:10, 19.51it/s, acc=50.5859375%]

                                                 
    Epochs:  19%|█▉        | 48/250 [00:02<00:10, 19.51it/s, loss=0.607]     
    Epochs:  20%|██        | 50/250 [00:02<00:10, 19.59it/s, loss=0.607]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  20%|██        | 50/250 [00:02<00:10, 19.59it/s, acc=50.5859375%]
    Epochs:  20%|██        | 50/250 [00:02<00:10, 19.59it/s, acc=50.5859375%]
    Epochs:  20%|██        | 50/250 [00:02<00:10, 19.59it/s, acc=50.5859375%]
    Epochs:  20%|██        | 50/250 [00:02<00:10, 19.59it/s, acc=50.5859375%]
    Epochs:  20%|██        | 50/250 [00:02<00:10, 19.59it/s, acc=50.5859375%]
    Epochs:  20%|██        | 50/250 [00:02<00:10, 19.59it/s, acc=50.5859375%]
    Epochs:  20%|██        | 50/250 [00:02<00:10, 19.59it/s, acc=50.5859375%]
    Epochs:  20%|██        | 50/250 [00:02<00:10, 19.59it/s, acc=50.5859375%]

                                                 
    Epochs:  20%|██        | 50/250 [00:02<00:10, 19.59it/s, loss=0.605]     

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  20%|██        | 50/250 [00:02<00:10, 19.59it/s, acc=50.5859375%]
    Epochs:  20%|██        | 50/250 [00:02<00:10, 19.59it/s, acc=50.5859375%]
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    Epochs:  24%|██▍       | 60/250 [00:03<00:09, 19.70it/s, loss=0.58]

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    Epochs:  25%|██▍       | 62/250 [00:03<00:09, 19.69it/s, loss=0.575]

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    Epochs:  26%|██▌       | 64/250 [00:03<00:09, 19.72it/s, loss=0.57]

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    Epochs:  26%|██▋       | 66/250 [00:03<00:09, 19.74it/s, loss=0.564]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
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    Epochs:  27%|██▋       | 68/250 [00:03<00:09, 19.71it/s, loss=0.559]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
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    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
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    Epochs:  27%|██▋       | 68/250 [00:03<00:09, 19.71it/s, loss=0.554]   
    Epochs:  28%|██▊       | 70/250 [00:03<00:09, 19.56it/s, loss=0.554]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  28%|██▊       | 70/250 [00:03<00:09, 19.56it/s, acc=86.5234375%]
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    Epochs:  28%|██▊       | 70/250 [00:03<00:09, 19.56it/s, loss=0.551]   

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  28%|██▊       | 70/250 [00:03<00:09, 19.56it/s, acc=86.71875%]
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    Epochs:  28%|██▊       | 70/250 [00:03<00:09, 19.56it/s, loss=0.548]   
    Epochs:  29%|██▉       | 72/250 [00:03<00:09, 19.63it/s, loss=0.548]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  29%|██▉       | 72/250 [00:03<00:09, 19.63it/s, acc=86.71875%]
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    Epochs:  29%|██▉       | 72/250 [00:03<00:09, 19.63it/s, acc=86.5234375%]

                                                 
    Epochs:  29%|██▉       | 72/250 [00:03<00:09, 19.63it/s, loss=0.546]     

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  29%|██▉       | 72/250 [00:03<00:09, 19.63it/s, acc=86.5234375%]
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    Epochs:  29%|██▉       | 72/250 [00:03<00:09, 19.63it/s, acc=86.328125%] 
    Epochs:  29%|██▉       | 72/250 [00:03<00:09, 19.63it/s, acc=86.328125%]
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    Epochs:  29%|██▉       | 72/250 [00:03<00:09, 19.63it/s, loss=0.543]    
    Epochs:  30%|██▉       | 74/250 [00:03<00:08, 19.61it/s, loss=0.543]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  30%|██▉       | 74/250 [00:03<00:08, 19.61it/s, acc=86.328125%]
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    Epochs:  30%|██▉       | 74/250 [00:03<00:08, 19.61it/s, acc=86.328125%]
    Epochs:  30%|██▉       | 74/250 [00:03<00:08, 19.61it/s, acc=86.328125%]
    Epochs:  30%|██▉       | 74/250 [00:03<00:08, 19.61it/s, acc=86.5234375%]
    Epochs:  30%|██▉       | 74/250 [00:03<00:08, 19.61it/s, acc=86.5234375%]
    Epochs:  30%|██▉       | 74/250 [00:03<00:08, 19.61it/s, acc=86.5234375%]

                                                 
    Epochs:  30%|██▉       | 74/250 [00:03<00:08, 19.61it/s, loss=0.541]     

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  30%|██▉       | 74/250 [00:03<00:08, 19.61it/s, acc=86.5234375%]
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    Epochs:  30%|██▉       | 74/250 [00:03<00:08, 19.61it/s, acc=86.71875%]  
    Epochs:  30%|██▉       | 74/250 [00:03<00:08, 19.61it/s, acc=86.71875%]
    Epochs:  30%|██▉       | 74/250 [00:03<00:08, 19.61it/s, acc=86.71875%]
    Epochs:  30%|██▉       | 74/250 [00:03<00:08, 19.61it/s, acc=86.71875%]

                                                 
    Epochs:  30%|██▉       | 74/250 [00:03<00:08, 19.61it/s, loss=0.538]   
    Epochs:  30%|███       | 76/250 [00:03<00:08, 19.67it/s, loss=0.538]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  30%|███       | 76/250 [00:03<00:08, 19.67it/s, acc=86.71875%]
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    Epochs:  30%|███       | 76/250 [00:03<00:08, 19.67it/s, acc=86.71875%]
    Epochs:  30%|███       | 76/250 [00:03<00:08, 19.67it/s, acc=86.71875%]
    Epochs:  30%|███       | 76/250 [00:03<00:08, 19.67it/s, acc=86.71875%]
    Epochs:  30%|███       | 76/250 [00:03<00:08, 19.67it/s, acc=86.9140625%]
    Epochs:  30%|███       | 76/250 [00:03<00:08, 19.67it/s, acc=86.9140625%]
    Epochs:  30%|███       | 76/250 [00:03<00:08, 19.67it/s, acc=86.9140625%]

                                                 
    Epochs:  30%|███       | 76/250 [00:03<00:08, 19.67it/s, loss=0.535]     

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  30%|███       | 76/250 [00:03<00:08, 19.67it/s, acc=86.9140625%]
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    Epochs:  30%|███       | 76/250 [00:03<00:08, 19.67it/s, acc=86.9140625%]
    Epochs:  30%|███       | 76/250 [00:03<00:08, 19.67it/s, acc=87.109375%] 
    Epochs:  30%|███       | 76/250 [00:03<00:08, 19.67it/s, acc=87.109375%]
    Epochs:  30%|███       | 76/250 [00:03<00:08, 19.67it/s, acc=87.109375%]
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    Epochs:  30%|███       | 76/250 [00:03<00:08, 19.67it/s, acc=86.9140625%]

                                                 
    Epochs:  30%|███       | 76/250 [00:03<00:08, 19.67it/s, loss=0.533]     
    Epochs:  31%|███       | 78/250 [00:03<00:08, 19.65it/s, loss=0.533]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  31%|███       | 78/250 [00:03<00:08, 19.65it/s, acc=86.9140625%]
    Epochs:  31%|███       | 78/250 [00:03<00:08, 19.65it/s, acc=86.9140625%]
    Epochs:  31%|███       | 78/250 [00:03<00:08, 19.65it/s, acc=86.9140625%]
    Epochs:  31%|███       | 78/250 [00:03<00:08, 19.65it/s, acc=86.9140625%]
    Epochs:  31%|███       | 78/250 [00:04<00:08, 19.65it/s, acc=86.9140625%]
    Epochs:  31%|███       | 78/250 [00:04<00:08, 19.65it/s, acc=86.9140625%]
    Epochs:  31%|███       | 78/250 [00:04<00:08, 19.65it/s, acc=86.9140625%]
    Epochs:  31%|███       | 78/250 [00:04<00:08, 19.65it/s, acc=86.9140625%]

                                                 
    Epochs:  31%|███       | 78/250 [00:04<00:08, 19.65it/s, loss=0.53]      

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  31%|███       | 78/250 [00:04<00:08, 19.65it/s, acc=86.9140625%]
    Epochs:  31%|███       | 78/250 [00:04<00:08, 19.65it/s, acc=86.9140625%]
    Epochs:  31%|███       | 78/250 [00:04<00:08, 19.65it/s, acc=86.9140625%]
    Epochs:  31%|███       | 78/250 [00:04<00:08, 19.65it/s, acc=86.9140625%]
    Epochs:  31%|███       | 78/250 [00:04<00:08, 19.65it/s, acc=87.109375%] 
    Epochs:  31%|███       | 78/250 [00:04<00:08, 19.65it/s, acc=87.109375%]
    Epochs:  31%|███       | 78/250 [00:04<00:08, 19.65it/s, acc=87.109375%]
    Epochs:  31%|███       | 78/250 [00:04<00:08, 19.65it/s, acc=87.109375%]

                                                 
    Epochs:  31%|███       | 78/250 [00:04<00:08, 19.65it/s, loss=0.528]    
    Epochs:  32%|███▏      | 80/250 [00:04<00:08, 19.64it/s, loss=0.528]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  32%|███▏      | 80/250 [00:04<00:08, 19.64it/s, acc=87.3046875%]
    Epochs:  32%|███▏      | 80/250 [00:04<00:08, 19.64it/s, acc=87.3046875%]
    Epochs:  32%|███▏      | 80/250 [00:04<00:08, 19.64it/s, acc=87.3046875%]
    Epochs:  32%|███▏      | 80/250 [00:04<00:08, 19.64it/s, acc=87.3046875%]
    Epochs:  32%|███▏      | 80/250 [00:04<00:08, 19.64it/s, acc=87.3046875%]
    Epochs:  32%|███▏      | 80/250 [00:04<00:08, 19.64it/s, acc=87.3046875%]
    Epochs:  32%|███▏      | 80/250 [00:04<00:08, 19.64it/s, acc=87.3046875%]
    Epochs:  32%|███▏      | 80/250 [00:04<00:08, 19.64it/s, acc=87.3046875%]

                                                 
    Epochs:  32%|███▏      | 80/250 [00:04<00:08, 19.64it/s, loss=0.525]     

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  32%|███▏      | 80/250 [00:04<00:08, 19.64it/s, acc=87.3046875%]
    Epochs:  32%|███▏      | 80/250 [00:04<00:08, 19.64it/s, acc=87.3046875%]
    Epochs:  32%|███▏      | 80/250 [00:04<00:08, 19.64it/s, acc=87.3046875%]
    Epochs:  32%|███▏      | 80/250 [00:04<00:08, 19.64it/s, acc=87.3046875%]
    Epochs:  32%|███▏      | 80/250 [00:04<00:08, 19.64it/s, acc=87.3046875%]
    Epochs:  32%|███▏      | 80/250 [00:04<00:08, 19.64it/s, acc=87.3046875%]
    Epochs:  32%|███▏      | 80/250 [00:04<00:08, 19.64it/s, acc=87.5%]      
    Epochs:  32%|███▏      | 80/250 [00:04<00:08, 19.64it/s, acc=87.5%]

                                                 
    Epochs:  32%|███▏      | 80/250 [00:04<00:08, 19.64it/s, loss=0.523]
    Epochs:  33%|███▎      | 82/250 [00:04<00:08, 19.64it/s, loss=0.523]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  33%|███▎      | 82/250 [00:04<00:08, 19.64it/s, acc=87.5%] 
    Epochs:  33%|███▎      | 82/250 [00:04<00:08, 19.64it/s, acc=87.5%]
    Epochs:  33%|███▎      | 82/250 [00:04<00:08, 19.64it/s, acc=87.5%]
    Epochs:  33%|███▎      | 82/250 [00:04<00:08, 19.64it/s, acc=87.5%]
    Epochs:  33%|███▎      | 82/250 [00:04<00:08, 19.64it/s, acc=87.5%]
    Epochs:  33%|███▎      | 82/250 [00:04<00:08, 19.64it/s, acc=87.5%]
    Epochs:  33%|███▎      | 82/250 [00:04<00:08, 19.64it/s, acc=87.5%]
    Epochs:  33%|███▎      | 82/250 [00:04<00:08, 19.64it/s, acc=87.5%]

                                                 
    Epochs:  33%|███▎      | 82/250 [00:04<00:08, 19.64it/s, loss=0.52]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  33%|███▎      | 82/250 [00:04<00:08, 19.64it/s, acc=87.5%]
    Epochs:  33%|███▎      | 82/250 [00:04<00:08, 19.64it/s, acc=87.5%]
    Epochs:  33%|███▎      | 82/250 [00:04<00:08, 19.64it/s, acc=87.5%]
    Epochs:  33%|███▎      | 82/250 [00:04<00:08, 19.64it/s, acc=87.5%]
    Epochs:  33%|███▎      | 82/250 [00:04<00:08, 19.64it/s, acc=87.5%]
    Epochs:  33%|███▎      | 82/250 [00:04<00:08, 19.64it/s, acc=87.5%]
    Epochs:  33%|███▎      | 82/250 [00:04<00:08, 19.64it/s, acc=87.5%]
    Epochs:  33%|███▎      | 82/250 [00:04<00:08, 19.64it/s, acc=87.5%]

                                                 
    Epochs:  33%|███▎      | 82/250 [00:04<00:08, 19.64it/s, loss=0.518]
    Epochs:  34%|███▎      | 84/250 [00:04<00:08, 19.68it/s, loss=0.518]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  34%|███▎      | 84/250 [00:04<00:08, 19.68it/s, acc=87.5%] 
    Epochs:  34%|███▎      | 84/250 [00:04<00:08, 19.68it/s, acc=87.5%]
    Epochs:  34%|███▎      | 84/250 [00:04<00:08, 19.68it/s, acc=87.5%]
    Epochs:  34%|███▎      | 84/250 [00:04<00:08, 19.68it/s, acc=87.5%]
    Epochs:  34%|███▎      | 84/250 [00:04<00:08, 19.68it/s, acc=87.5%]
    Epochs:  34%|███▎      | 84/250 [00:04<00:08, 19.68it/s, acc=87.5%]
    Epochs:  34%|███▎      | 84/250 [00:04<00:08, 19.68it/s, acc=87.5%]
    Epochs:  34%|███▎      | 84/250 [00:04<00:08, 19.68it/s, acc=87.5%]

                                                 
    Epochs:  34%|███▎      | 84/250 [00:04<00:08, 19.68it/s, loss=0.515]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  34%|███▎      | 84/250 [00:04<00:08, 19.68it/s, acc=87.5%] 
    Epochs:  34%|███▎      | 84/250 [00:04<00:08, 19.68it/s, acc=87.5%]
    Epochs:  34%|███▎      | 84/250 [00:04<00:08, 19.68it/s, acc=87.5%]
    Epochs:  34%|███▎      | 84/250 [00:04<00:08, 19.68it/s, acc=87.5%]
    Epochs:  34%|███▎      | 84/250 [00:04<00:08, 19.68it/s, acc=87.5%]
    Epochs:  34%|███▎      | 84/250 [00:04<00:08, 19.68it/s, acc=87.5%]
    Epochs:  34%|███▎      | 84/250 [00:04<00:08, 19.68it/s, acc=87.6953125%]
    Epochs:  34%|███▎      | 84/250 [00:04<00:08, 19.68it/s, acc=87.6953125%]

                                                 
    Epochs:  34%|███▎      | 84/250 [00:04<00:08, 19.68it/s, loss=0.513]     
    Epochs:  34%|███▍      | 86/250 [00:04<00:08, 19.61it/s, loss=0.513]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  34%|███▍      | 86/250 [00:04<00:08, 19.61it/s, acc=87.6953125%]
    Epochs:  34%|███▍      | 86/250 [00:04<00:08, 19.61it/s, acc=87.6953125%]
    Epochs:  34%|███▍      | 86/250 [00:04<00:08, 19.61it/s, acc=87.6953125%]
    Epochs:  34%|███▍      | 86/250 [00:04<00:08, 19.61it/s, acc=87.6953125%]
    Epochs:  34%|███▍      | 86/250 [00:04<00:08, 19.61it/s, acc=87.6953125%]
    Epochs:  34%|███▍      | 86/250 [00:04<00:08, 19.61it/s, acc=87.6953125%]
    Epochs:  34%|███▍      | 86/250 [00:04<00:08, 19.61it/s, acc=87.6953125%]
    Epochs:  34%|███▍      | 86/250 [00:04<00:08, 19.61it/s, acc=87.6953125%]

                                                 
    Epochs:  34%|███▍      | 86/250 [00:04<00:08, 19.61it/s, loss=0.51]      

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  34%|███▍      | 86/250 [00:04<00:08, 19.61it/s, acc=87.6953125%]
    Epochs:  34%|███▍      | 86/250 [00:04<00:08, 19.61it/s, acc=87.6953125%]
    Epochs:  34%|███▍      | 86/250 [00:04<00:08, 19.61it/s, acc=87.6953125%]
    Epochs:  34%|███▍      | 86/250 [00:04<00:08, 19.61it/s, acc=87.6953125%]
    Epochs:  34%|███▍      | 86/250 [00:04<00:08, 19.61it/s, acc=87.6953125%]
    Epochs:  34%|███▍      | 86/250 [00:04<00:08, 19.61it/s, acc=87.6953125%]
    Epochs:  34%|███▍      | 86/250 [00:04<00:08, 19.61it/s, acc=87.6953125%]
    Epochs:  34%|███▍      | 86/250 [00:04<00:08, 19.61it/s, acc=87.890625%] 

                                                 
    Epochs:  34%|███▍      | 86/250 [00:04<00:08, 19.61it/s, loss=0.508]    
    Epochs:  35%|███▌      | 88/250 [00:04<00:08, 19.56it/s, loss=0.508]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  35%|███▌      | 88/250 [00:04<00:08, 19.56it/s, acc=87.890625%]
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    Epochs:  37%|███▋      | 92/250 [00:04<00:08, 19.67it/s, loss=0.498]

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    Epochs:  38%|███▊      | 94/250 [00:04<00:07, 19.62it/s, loss=0.494]

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    Epochs:  38%|███▊      | 96/250 [00:04<00:07, 19.63it/s, loss=0.489]

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    Epochs:  39%|███▉      | 98/250 [00:04<00:07, 19.65it/s, loss=0.485]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
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    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
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    Epochs:  40%|████      | 100/250 [00:05<00:07, 19.67it/s, loss=0.48]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
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    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
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    Epochs:  41%|████      | 102/250 [00:05<00:07, 19.66it/s, loss=0.476]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  41%|████      | 102/250 [00:05<00:07, 19.66it/s, acc=88.671875%]
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    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
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    Epochs:  42%|████▏     | 104/250 [00:05<00:07, 19.69it/s, loss=0.471]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
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    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  42%|████▏     | 104/250 [00:05<00:07, 19.69it/s, acc=88.671875%]
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    Epochs:  42%|████▏     | 106/250 [00:05<00:07, 19.70it/s, loss=0.467]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
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    Epochs:  52%|█████▏    | 130/250 [00:06<00:06, 19.45it/s, loss=0.423]

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    Epochs:  54%|█████▎    | 134/250 [00:06<00:05, 19.54it/s, loss=0.417]

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    Epochs:  54%|█████▍    | 136/250 [00:06<00:05, 19.56it/s, loss=0.414]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
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    Epochs:  54%|█████▍    | 136/250 [00:07<00:05, 19.56it/s, acc=88.671875%]

                                                 
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    Epochs:  55%|█████▌    | 138/250 [00:07<00:05, 19.61it/s, loss=0.411]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
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    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
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    Epochs:  56%|█████▌    | 140/250 [00:07<00:05, 19.63it/s, loss=0.408]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
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    Epochs:  57%|█████▋    | 142/250 [00:07<00:05, 19.63it/s, loss=0.405]

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    Epochs:  58%|█████▊    | 144/250 [00:07<00:05, 19.64it/s, loss=0.402]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
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    Epochs:  58%|█████▊    | 146/250 [00:07<00:05, 19.67it/s, loss=0.4]

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    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  58%|█████▊    | 146/250 [00:07<00:05, 19.67it/s, acc=88.28125%]
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    Epochs:  58%|█████▊    | 146/250 [00:07<00:05, 19.67it/s, loss=0.397]   
    Epochs:  59%|█████▉    | 148/250 [00:07<00:05, 19.50it/s, loss=0.397]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  59%|█████▉    | 148/250 [00:07<00:05, 19.50it/s, acc=88.28125%]
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    Epochs:  59%|█████▉    | 148/250 [00:07<00:05, 19.50it/s, acc=88.28125%]

                                                 
    Epochs:  59%|█████▉    | 148/250 [00:07<00:05, 19.50it/s, loss=0.396]   

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  59%|█████▉    | 148/250 [00:07<00:05, 19.50it/s, acc=88.28125%]
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    Epochs:  60%|██████    | 150/250 [00:07<00:05, 19.50it/s, loss=0.394]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
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    Epochs:  60%|██████    | 150/250 [00:07<00:05, 19.50it/s, loss=0.393]   

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  60%|██████    | 150/250 [00:07<00:05, 19.50it/s, acc=88.28125%]
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    Epochs:  60%|██████    | 150/250 [00:07<00:05, 19.50it/s, acc=88.28125%]
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    Epochs:  60%|██████    | 150/250 [00:07<00:05, 19.50it/s, acc=88.28125%]
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    Epochs:  60%|██████    | 150/250 [00:07<00:05, 19.50it/s, loss=0.392]   
    Epochs:  61%|██████    | 152/250 [00:07<00:05, 19.50it/s, loss=0.392]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
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    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
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    Epochs:  62%|██████▏   | 154/250 [00:07<00:04, 19.57it/s, loss=0.389]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
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    Epochs:  62%|██████▏   | 154/250 [00:07<00:04, 19.57it/s, acc=88.0859375%]
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    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  62%|██████▏   | 154/250 [00:07<00:04, 19.57it/s, acc=88.28125%]
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    Epochs:  62%|██████▏   | 154/250 [00:07<00:04, 19.57it/s, acc=88.4765625%]
    Epochs:  62%|██████▏   | 154/250 [00:07<00:04, 19.57it/s, acc=88.28125%]  
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    Epochs:  62%|██████▏   | 156/250 [00:07<00:04, 19.57it/s, loss=0.387]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  62%|██████▏   | 156/250 [00:07<00:04, 19.57it/s, acc=88.28125%]
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    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  62%|██████▏   | 156/250 [00:08<00:04, 19.57it/s, acc=88.4765625%]
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    Epochs:  63%|██████▎   | 158/250 [00:08<00:04, 19.53it/s, loss=0.385]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  63%|██████▎   | 158/250 [00:08<00:04, 19.53it/s, acc=88.28125%]
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    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  63%|██████▎   | 158/250 [00:08<00:04, 19.53it/s, acc=88.28125%]
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    Epochs:  71%|███████   | 178/250 [00:09<00:03, 19.64it/s, loss=0.365]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
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    Epochs:  72%|███████▏  | 180/250 [00:09<00:03, 19.63it/s, loss=0.363]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
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    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
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    Epochs:  73%|███████▎  | 182/250 [00:09<00:03, 19.66it/s, loss=0.361]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  73%|███████▎  | 182/250 [00:09<00:03, 19.66it/s, acc=87.890625%]
    Epochs:  73%|███████▎  | 182/250 [00:09<00:03, 19.66it/s, acc=87.890625%]
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    Epochs:  73%|███████▎  | 182/250 [00:09<00:03, 19.66it/s, loss=0.361]    

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  73%|███████▎  | 182/250 [00:09<00:03, 19.66it/s, acc=87.890625%]
    Epochs:  73%|███████▎  | 182/250 [00:09<00:03, 19.66it/s, acc=87.890625%]
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    Epochs:  73%|███████▎  | 182/250 [00:09<00:03, 19.66it/s, acc=87.890625%]
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    Epochs:  73%|███████▎  | 182/250 [00:09<00:03, 19.66it/s, loss=0.36]     
    Epochs:  74%|███████▎  | 184/250 [00:09<00:03, 19.67it/s, loss=0.36]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  74%|███████▎  | 184/250 [00:09<00:03, 19.67it/s, acc=87.890625%]
    Epochs:  74%|███████▎  | 184/250 [00:09<00:03, 19.67it/s, acc=87.890625%]
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    Epochs:  74%|███████▎  | 184/250 [00:09<00:03, 19.67it/s, acc=87.890625%]
    Epochs:  74%|███████▎  | 184/250 [00:09<00:03, 19.67it/s, acc=87.890625%]
    Epochs:  74%|███████▎  | 184/250 [00:09<00:03, 19.67it/s, acc=87.890625%]
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    Epochs:  74%|███████▎  | 184/250 [00:09<00:03, 19.67it/s, loss=0.359]    

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  74%|███████▎  | 184/250 [00:09<00:03, 19.67it/s, acc=87.890625%]
    Epochs:  74%|███████▎  | 184/250 [00:09<00:03, 19.67it/s, acc=87.890625%]
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    Epochs:  74%|███████▎  | 184/250 [00:09<00:03, 19.67it/s, loss=0.358]    
    Epochs:  74%|███████▍  | 186/250 [00:09<00:03, 19.62it/s, loss=0.358]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  74%|███████▍  | 186/250 [00:09<00:03, 19.62it/s, acc=87.890625%]
    Epochs:  74%|███████▍  | 186/250 [00:09<00:03, 19.62it/s, acc=87.890625%]
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    Epochs:  74%|███████▍  | 186/250 [00:09<00:03, 19.62it/s, acc=87.890625%]
    Epochs:  74%|███████▍  | 186/250 [00:09<00:03, 19.62it/s, acc=87.890625%]
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    Epochs:  74%|███████▍  | 186/250 [00:09<00:03, 19.62it/s, loss=0.357]    

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  74%|███████▍  | 186/250 [00:09<00:03, 19.62it/s, acc=87.890625%]
    Epochs:  74%|███████▍  | 186/250 [00:09<00:03, 19.62it/s, acc=87.890625%]
    Epochs:  74%|███████▍  | 186/250 [00:09<00:03, 19.62it/s, acc=87.890625%]
    Epochs:  74%|███████▍  | 186/250 [00:09<00:03, 19.62it/s, acc=87.890625%]
    Epochs:  74%|███████▍  | 186/250 [00:09<00:03, 19.62it/s, acc=87.890625%]
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    Epochs:  74%|███████▍  | 186/250 [00:09<00:03, 19.62it/s, acc=88.0859375%]
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    Epochs:  74%|███████▍  | 186/250 [00:09<00:03, 19.62it/s, loss=0.356]    
    Epochs:  75%|███████▌  | 188/250 [00:09<00:03, 19.50it/s, loss=0.356]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  75%|███████▌  | 188/250 [00:09<00:03, 19.50it/s, acc=87.890625%]
    Epochs:  75%|███████▌  | 188/250 [00:09<00:03, 19.50it/s, acc=87.890625%]
    Epochs:  75%|███████▌  | 188/250 [00:09<00:03, 19.50it/s, acc=87.890625%]
    Epochs:  75%|███████▌  | 188/250 [00:09<00:03, 19.50it/s, acc=87.890625%]
    Epochs:  75%|███████▌  | 188/250 [00:09<00:03, 19.50it/s, acc=87.890625%]
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    Epochs:  75%|███████▌  | 188/250 [00:09<00:03, 19.50it/s, acc=87.890625%]
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    Epochs:  75%|███████▌  | 188/250 [00:09<00:03, 19.50it/s, loss=0.356]    

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  75%|███████▌  | 188/250 [00:09<00:03, 19.50it/s, acc=87.890625%]
    Epochs:  75%|███████▌  | 188/250 [00:09<00:03, 19.50it/s, acc=87.890625%]
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    Epochs:  75%|███████▌  | 188/250 [00:09<00:03, 19.50it/s, loss=0.355]    
    Epochs:  76%|███████▌  | 190/250 [00:09<00:03, 19.54it/s, loss=0.355]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  76%|███████▌  | 190/250 [00:09<00:03, 19.54it/s, acc=87.890625%]
    Epochs:  76%|███████▌  | 190/250 [00:09<00:03, 19.54it/s, acc=87.890625%]
    Epochs:  76%|███████▌  | 190/250 [00:09<00:03, 19.54it/s, acc=87.890625%]
    Epochs:  76%|███████▌  | 190/250 [00:09<00:03, 19.54it/s, acc=87.890625%]
    Epochs:  76%|███████▌  | 190/250 [00:09<00:03, 19.54it/s, acc=87.890625%]
    Epochs:  76%|███████▌  | 190/250 [00:09<00:03, 19.54it/s, acc=88.0859375%]
    Epochs:  76%|███████▌  | 190/250 [00:09<00:03, 19.54it/s, acc=87.890625%] 
    Epochs:  76%|███████▌  | 190/250 [00:09<00:03, 19.54it/s, acc=87.890625%]

                                                 
    Epochs:  76%|███████▌  | 190/250 [00:09<00:03, 19.54it/s, loss=0.354]    

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  76%|███████▌  | 190/250 [00:09<00:03, 19.54it/s, acc=87.890625%]
    Epochs:  76%|███████▌  | 190/250 [00:09<00:03, 19.54it/s, acc=87.890625%]
    Epochs:  76%|███████▌  | 190/250 [00:09<00:03, 19.54it/s, acc=87.890625%]
    Epochs:  76%|███████▌  | 190/250 [00:09<00:03, 19.54it/s, acc=87.890625%]
    Epochs:  76%|███████▌  | 190/250 [00:09<00:03, 19.54it/s, acc=88.0859375%]
    Epochs:  76%|███████▌  | 190/250 [00:09<00:03, 19.54it/s, acc=88.0859375%]
    Epochs:  76%|███████▌  | 190/250 [00:09<00:03, 19.54it/s, acc=88.0859375%]
    Epochs:  76%|███████▌  | 190/250 [00:09<00:03, 19.54it/s, acc=88.0859375%]

                                                 
    Epochs:  76%|███████▌  | 190/250 [00:09<00:03, 19.54it/s, loss=0.353]     
    Epochs:  77%|███████▋  | 192/250 [00:09<00:02, 19.48it/s, loss=0.353]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  77%|███████▋  | 192/250 [00:09<00:02, 19.48it/s, acc=88.0859375%]
    Epochs:  77%|███████▋  | 192/250 [00:09<00:02, 19.48it/s, acc=88.0859375%]
    Epochs:  77%|███████▋  | 192/250 [00:09<00:02, 19.48it/s, acc=88.0859375%]
    Epochs:  77%|███████▋  | 192/250 [00:09<00:02, 19.48it/s, acc=88.0859375%]
    Epochs:  77%|███████▋  | 192/250 [00:09<00:02, 19.48it/s, acc=88.0859375%]
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    Epochs:  77%|███████▋  | 192/250 [00:09<00:02, 19.48it/s, acc=88.0859375%]
    Epochs:  77%|███████▋  | 192/250 [00:09<00:02, 19.48it/s, acc=88.0859375%]

                                                 
    Epochs:  77%|███████▋  | 192/250 [00:09<00:02, 19.48it/s, loss=0.353]     

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  77%|███████▋  | 192/250 [00:09<00:02, 19.48it/s, acc=88.0859375%]
    Epochs:  77%|███████▋  | 192/250 [00:09<00:02, 19.48it/s, acc=88.0859375%]
    Epochs:  77%|███████▋  | 192/250 [00:09<00:02, 19.48it/s, acc=88.0859375%]
    Epochs:  77%|███████▋  | 192/250 [00:09<00:02, 19.48it/s, acc=88.0859375%]
    Epochs:  77%|███████▋  | 192/250 [00:09<00:02, 19.48it/s, acc=88.0859375%]
    Epochs:  77%|███████▋  | 192/250 [00:09<00:02, 19.48it/s, acc=88.0859375%]
    Epochs:  77%|███████▋  | 192/250 [00:09<00:02, 19.48it/s, acc=88.0859375%]
    Epochs:  77%|███████▋  | 192/250 [00:09<00:02, 19.48it/s, acc=88.0859375%]

                                                 
    Epochs:  77%|███████▋  | 192/250 [00:09<00:02, 19.48it/s, loss=0.352]     
    Epochs:  78%|███████▊  | 194/250 [00:09<00:02, 19.55it/s, loss=0.352]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  78%|███████▊  | 194/250 [00:09<00:02, 19.55it/s, acc=88.0859375%]
    Epochs:  78%|███████▊  | 194/250 [00:09<00:02, 19.55it/s, acc=88.0859375%]
    Epochs:  78%|███████▊  | 194/250 [00:09<00:02, 19.55it/s, acc=88.0859375%]
    Epochs:  78%|███████▊  | 194/250 [00:09<00:02, 19.55it/s, acc=88.0859375%]
    Epochs:  78%|███████▊  | 194/250 [00:09<00:02, 19.55it/s, acc=88.0859375%]
    Epochs:  78%|███████▊  | 194/250 [00:09<00:02, 19.55it/s, acc=88.0859375%]
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    Epochs:  98%|█████████▊| 246/250 [00:12<00:00, 19.36it/s, loss=0.323]     
    Epochs:  99%|█████████▉| 248/250 [00:12<00:00, 19.46it/s, loss=0.323]

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  99%|█████████▉| 248/250 [00:12<00:00, 19.46it/s, acc=87.6953125%]
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    Epochs:  99%|█████████▉| 248/250 [00:12<00:00, 19.46it/s, loss=0.323]     

    Sample:   0%|          | 0/8 [00:00<?, ?it/s]
    Epochs:  99%|█████████▉| 248/250 [00:12<00:00, 19.46it/s, acc=87.6953125%]
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    Epochs:  99%|█████████▉| 248/250 [00:12<00:00, 19.46it/s, acc=87.6953125%]

                                                 
    Epochs:  99%|█████████▉| 248/250 [00:12<00:00, 19.46it/s, loss=0.323]     
    Epochs: 100%|██████████| 250/250 [00:12<00:00, 19.51it/s, loss=0.323]
                                                                     



.. GENERATED FROM PYTHON SOURCE LINES 172-174

Visuals
~~~~~~~

.. GENERATED FROM PYTHON SOURCE LINES 174-192

.. code-block:: Python


    # Plot decision boundaries for training and test sets
    plt.figure(figsize=(12, 6))

    plt.subplot(2, 2, 1)
    plt.title("Train")
    plot_decision_boundary(model, full_batch_x, full_batch_y)

    plt.subplot(2, 2, 2)
    plt.title("Test")
    plot_decision_boundary(model, batch_x_test, batch_y_test)

    plt.subplot(2, 1, 2)
    plt.title("Test loss through epochs")
    plt.plot(losses)
    plt.yscale('log')

    plt.show()



.. image-sg:: /examples/Custom/images/sphx_glr_neural_net_002.png
   :alt: Train, Test, Test loss through epochs
   :srcset: /examples/Custom/images/sphx_glr_neural_net_002.png
   :class: sphx-glr-single-img






.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 13.078 seconds)


.. _sphx_glr_download_examples_Custom_neural_net.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: neural_net.ipynb <neural_net.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: neural_net.py <neural_net.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: neural_net.zip <neural_net.zip>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_