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