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 |
|---|---|
| 1 | 0.43 |
| 2 | 0.386 |
| 3 | 0.356 |
| 4 | 0.311 |
| 5 | 0.303 |
| 6 | 0.296 |
| 7 | 0.293 |
| 8 | 0.286 |
| 9 | 0.28 |
| 10 | 0.272 |
| 11 | 0.263 |
| 12 | 0.261 |
| 13 | 0.256 |
| 14 | 0.252 |
| 15 | 0.255 |
| 16 | 0.246 |
| 17 | 0.247 |
| 18 | 0.248 |
| 19 | 0.244 |
| 20 | 0.24 |
| 21 | 0.24 |
| 22 | 0.234 |
| 23 | 0.234 |
| 24 | 0.229 |
| 25 | 0.231 |
| 26 | 0.23 |
| 27 | 0.236 |
| 28 | 0.227 |
| 29 | 0.224 |
| 30 | 0.221 |
| 31 | 0.221 |
| 32 | 0.221 |
| 33 | 0.222 |
| 34 | 0.224 |
| 35 | 0.222 |
| 36 | 0.215 |
| 37 | 0.214 |
| 38 | 0.208 |
| 39 | 0.208 |
| 40 | 0.205 |
| 41 | 0.206 |
| 42 | 0.204 |
| 43 | 0.204 |
| 44 | 0.201 |
| 45 | 0.2 |
| 46 | 0.199 |
| 47 | 0.197 |
| 48 | 0.195 |
| 49 | 0.199 |
| 50 | 0.195 |
