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whisper_syl_noforce_add_inpde__0010
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: 0.7143
- Train Accuracy: 0.0298
- Train Wermet: 0.1511
- Validation Loss: 1.0554
- Validation Accuracy: 0.0211
- Validation Wermet: 0.3069
- Epoch: 9
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 |
Framework versions
- Transformers 4.33.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3
