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library_name: keras |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- optimizer: {'name': 'Adam', 'learning_rate': 0.001, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
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- training_precision: float32 |
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## Training Metrics |
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| Epochs | Train Loss | Validation Loss | |
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|--- |--- |--- | |
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| 1| 0.184| 0.105| |
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| 2| 0.101| 0.097| |
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| 3| 0.096| 0.094| |
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| 4| 0.094| 0.092| |
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| 5| 0.092| 0.091| |
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| 6| 0.091| 0.09| |
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| 7| 0.09| 0.089| |
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| 8| 0.09| 0.089| |
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| 9| 0.089| 0.089| |
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| 10| 0.089| 0.088| |
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## Model Plot |
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<details> |
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<summary>View Model Plot</summary> |
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</details> |
