<!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. -->
whisper_syl_noforce_add_inpde__0020
This model is a fine-tuned version of bigmorning/whisper_syl_noforce__0060 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.3753
- Train Accuracy: 0.0327
- Train Wermet: 0.0858
- Validation Loss: 1.0461
- Validation Accuracy: 0.0214
- Validation Wermet: 0.3115
- Epoch: 19
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': 'AdamWeightDecay', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Train Wermet | Validation Loss | Validation Accuracy | Validation Wermet | Epoch |
|---|---|---|---|---|---|---|
| 3.0144 | 0.0185 | 0.9684 | 1.4362 | 0.0191 | 0.3870 | 0 |
| 1.6269 | 0.0241 | 0.2797 | 1.2846 | 0.0197 | 0.3593 | 1 |
| 1.3645 | 0.0256 | 0.2469 | 1.1967 | 0.0201 | 0.3481 | 2 |
| 1.2336 | 0.0263 | 0.2264 | 1.1602 | 0.0204 | 0.3390 | 3 |
| 1.0973 | 0.0272 | 0.2091 | 1.1211 | 0.0206 | 0.3296 | 4 |
| 0.9914 | 0.0279 | 0.1941 | 1.1412 | 0.0204 | 0.3209 | 5 |
| 0.9050 | 0.0284 | 0.1819 | 1.1795 | 0.0204 | 0.3281 | 6 |
| 0.8192 | 0.0291 | 0.1695 | 1.0845 | 0.0209 | 0.3149 | 7 |
| 0.7806 | 0.0293 | 0.1608 | 1.0628 | 0.0210 | 0.3099 | 8 |
| 0.7143 | 0.0298 | 0.1511 | 1.0554 | 0.0211 | 0.3069 | 9 |
| 0.6672 | 0.0302 | 0.1431 | 1.0539 | 0.0211 | 0.3046 | 10 |
| 0.6228 | 0.0305 | 0.1338 | 1.0531 | 0.0211 | 0.3038 | 11 |
| 0.5558 | 0.0311 | 0.1253 | 1.0476 | 0.0212 | 0.2997 | 12 |
| 0.5273 | 0.0314 | 0.1186 | 1.0431 | 0.0212 | 0.2991 | 13 |
| 0.4618 | 0.0319 | 0.1102 | 1.0659 | 0.0212 | 0.2974 | 14 |
| 0.4438 | 0.0321 | 0.1043 | 1.0439 | 0.0213 | 0.3053 | 15 |
| 0.4207 | 0.0323 | 0.0994 | 1.0748 | 0.0212 | 0.3049 | 16 |
| 0.4455 | 0.0321 | 0.0964 | 1.0538 | 0.0213 | 0.2983 | 17 |
| 0.3952 | 0.0325 | 0.0889 | 1.0487 | 0.0213 | 0.3005 | 18 |
| 0.3753 | 0.0327 | 0.0858 | 1.0461 | 0.0214 | 0.3115 | 19 |
Framework versions
- Transformers 4.33.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3
