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badokorach/distilbert-base-cased
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.2299
- Epoch: 48
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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 2850, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
- training_precision: mixed_float16
Training results
| Train Loss | Epoch |
|---|---|
| 0.2339 | 0 |
| 0.2316 | 1 |
| 0.2281 | 2 |
| 0.2286 | 3 |
| 0.2319 | 4 |
| 0.2318 | 5 |
| 0.2311 | 6 |
| 0.2285 | 7 |
| 0.2349 | 8 |
| 0.2327 | 9 |
| 0.2335 | 10 |
| 0.2329 | 11 |
| 0.2299 | 12 |
| 0.2298 | 13 |
| 0.2297 | 14 |
| 0.2313 | 15 |
| 0.2348 | 16 |
| 0.2350 | 17 |
| 0.2331 | 18 |
| 0.2294 | 19 |
| 0.2311 | 20 |
| 0.2311 | 21 |
| 0.2299 | 22 |
| 0.2286 | 23 |
| 0.2296 | 24 |
| 0.2276 | 25 |
| 0.2310 | 26 |
| 0.2282 | 27 |
| 0.2303 | 28 |
| 0.2307 | 29 |
| 0.2291 | 30 |
| 0.2289 | 31 |
| 0.2311 | 32 |
| 0.2275 | 33 |
| 0.2315 | 34 |
| 0.2281 | 35 |
| 0.2306 | 36 |
| 0.2327 | 37 |
| 0.2303 | 38 |
| 0.2300 | 39 |
| 0.2293 | 40 |
| 0.2288 | 41 |
| 0.2290 | 42 |
| 0.2290 | 43 |
| 0.2312 | 44 |
| 0.2296 | 45 |
| 0.2307 | 46 |
| 0.2296 | 47 |
| 0.2299 | 48 |
Framework versions
- Transformers 4.32.0
- TensorFlow 2.12.0
- Datasets 2.14.4
- Tokenizers 0.13.3
