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encoderonly: add graph plotting
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1 changed files with 32 additions and 2 deletions
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@ -101,7 +101,7 @@ summarywriter(model, os.path.join(DIRPATH_OUTPUT, "summary.txt"))
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# ██ ██ ██ ██ ██ ██ ██ ██ ██ ██ ██ ██ ██ ██ ██
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# ██ ██ ██ ██ ██ ██ ██ ████ ██ ██ ████ ██████
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model.fit(dataset_train,
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history = model.fit(dataset_train,
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validation_data=dataset_validate,
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epochs=25,
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@ -124,6 +124,36 @@ model.fit(dataset_train,
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)
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logger.info(">>> Training complete")
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logger.info(">>> Plotting graphs")
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plt.plot(history.history["loss"])
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plt.title("Training Loss")
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plt.ylabel("loss")
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plt.xlabel("epoch")
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plt.savefig(os.path.join(DIRPATH_OUTPUT, "loss.png"))
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plt.close()
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plt.plot(history.history["accuracy"])
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plt.title("Training Accuracy")
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plt.ylabel("accuracy")
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plt.xlabel("epoch")
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plt.savefig(os.path.join(DIRPATH_OUTPUT, "acc.png"))
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plt.close()
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plt.plot(history.history["val_loss"])
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plt.title("Validation Loss")
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plt.ylabel("val_loss")
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plt.xlabel("epoch")
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plt.savefig(os.path.join(DIRPATH_OUTPUT, "val_loss.png"))
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plt.close()
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plt.plot(history.history["val_accuracy"])
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plt.title("Validation Accuracy")
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plt.ylabel("val_accuracy")
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plt.xlabel("epoch")
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plt.savefig(os.path.join(DIRPATH_OUTPUT, "val_acc.png"))
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plt.close()
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# ██████ ██████ ███████ ██████ ██ ██████ ████████ ██ ██████ ███ ██
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# ██ ██ ██ ██ ██ ██ ██ ██ ██ ██ ██ ██ ██ ████ ██
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@ -132,8 +162,8 @@ logger.info(">>> Training complete")
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# ██ ██ ██ ███████ ██████ ██ ██████ ██ ██ ██████ ██ ████
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logger.info("Predictions coming soon.")
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# TODO FILL THIS IN
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# █████ █████ █████ █████ █████ █████ █████ █████ █████
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