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whisper_werbest_new_split
This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0590
- Train Accuracy: 0.0333
- Train Wermet: 13.3826
- Validation Loss: 0.4672
- Validation Accuracy: 0.0313
- Validation Wermet: 16.2097
- Epoch: 21
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 |
|---|---|---|---|---|---|---|
| 5.0901 | 0.0113 | 53.3790 | 4.4090 | 0.0122 | 42.3548 | 0 |
| 4.3135 | 0.0127 | 42.3551 | 3.9430 | 0.0149 | 37.1045 | 1 |
| 3.3458 | 0.0173 | 31.6069 | 2.3945 | 0.0222 | 25.5461 | 2 |
| 1.9669 | 0.0232 | 13.7935 | 1.4966 | 0.0261 | 6.9562 | 3 |
| 1.2830 | 0.0262 | 10.0196 | 1.1100 | 0.0279 | 9.5683 | 4 |
| 0.9517 | 0.0278 | 8.1513 | 0.9065 | 0.0289 | 7.8180 | 5 |
| 0.7555 | 0.0287 | 7.5457 | 0.7892 | 0.0295 | 5.1479 | 6 |
| 0.6204 | 0.0295 | 7.0748 | 0.7025 | 0.0299 | 6.9938 | 7 |
| 0.5202 | 0.0300 | 7.2085 | 0.6409 | 0.0303 | 7.6979 | 8 |
| 0.4418 | 0.0305 | 6.6665 | 0.5963 | 0.0305 | 4.9877 | 9 |
| 0.3773 | 0.0309 | 6.3833 | 0.5633 | 0.0307 | 5.6072 | 10 |
| 0.3239 | 0.0313 | 6.3658 | 0.5361 | 0.0308 | 9.7748 | 11 |
| 0.2784 | 0.0316 | 7.6413 | 0.5146 | 0.0310 | 8.5224 | 12 |
| 0.2390 | 0.0319 | 8.3862 | 0.5053 | 0.0310 | 8.1694 | 13 |
| 0.2049 | 0.0321 | 8.4188 | 0.4899 | 0.0311 | 9.4708 | 14 |
| 0.1749 | 0.0323 | 8.7733 | 0.4805 | 0.0312 | 8.5083 | 15 |
| 0.1480 | 0.0326 | 8.1859 | 0.4735 | 0.0312 | 16.2408 | 16 |
| 0.1242 | 0.0328 | 10.7089 | 0.4745 | 0.0312 | 6.8974 | 17 |
| 0.1042 | 0.0329 | 10.2003 | 0.4675 | 0.0313 | 9.7003 | 18 |
| 0.0862 | 0.0331 | 10.7710 | 0.4677 | 0.0313 | 6.6251 | 19 |
| 0.0708 | 0.0332 | 9.1255 | 0.4698 | 0.0313 | 13.2089 | 20 |
| 0.0590 | 0.0333 | 13.3826 | 0.4672 | 0.0313 | 16.2097 | 21 |
Framework versions
- Transformers 4.27.0.dev0
- TensorFlow 2.11.0
- Tokenizers 0.13.2
