| --- |
| library_name: keras |
| tags: |
| - mol_gen |
| --- |
| |
| ## 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: |
| - optimizer: {'name': 'Adam', 'learning_rate': 0.0005, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
| - training_precision: float32 |
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| ## Training Metrics |
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| | Epochs | Train Loss | |
| |--- |--- | |
| | 1| 68866.578| |
| | 2| 68818.219| |
| | 3| 68850.844| |
| | 4| 68829.688| |
| | 5| 68840.258| |
| | 6| 68813.281| |
| | 7| 68809.414| |
| | 8| 68815.312| |
| | 9| 68805.641| |
| | 10| 68803.672| |
| ## Model Plot |
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| <details> |
| <summary>View Model Plot</summary> |
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|  |
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| </details> |
