49 lines
1.3 KiB
Python
49 lines
1.3 KiB
Python
import torch
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import matplotlib
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import matplotlib.pyplot as plt
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matplotlib.style.use('ggplot')
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def save_model(epochs, model, optimizer, criterion):
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"""
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Function to save the trained model to disk.
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"""
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torch.save({
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'epoch': epochs,
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'model_state_dict': model.state_dict(),
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'optimizer_state_dict': optimizer.state_dict(),
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'loss': criterion,
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}, 'outputs/model.pth')
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def save_plots(train_acc, valid_acc, train_loss, valid_loss):
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"""
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Function to save the loss and accuracy plots to disk.
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"""
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# accuracy plots
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plt.figure(figsize=(10, 7))
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plt.plot(
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train_acc, color='green', linestyle='-',
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label='train accuracy'
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)
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plt.plot(
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valid_acc, color='blue', linestyle='-',
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label='validataion accuracy'
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)
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plt.xlabel('Epochs')
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plt.ylabel('Accuracy')
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plt.legend()
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plt.savefig('outputs/accuracy.png')
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# loss plots
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plt.figure(figsize=(10, 7))
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plt.plot(
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train_loss, color='orange', linestyle='-',
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label='train loss'
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)
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plt.plot(
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valid_loss, color='red', linestyle='-',
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label='validataion loss'
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)
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plt.xlabel('Epochs')
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plt.ylabel('Loss')
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plt.legend()
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plt.savefig('outputs/loss.png') |