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whisper_new_split_ch_08__0015
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: 2.5617
- Train Accuracy: 0.0410
- Train Wermet: 1.7919
- Validation Loss: 2.6068
- Validation Accuracy: 0.0395
- Validation Wermet: 2.0386
- Epoch: 14
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 |
|---|---|---|---|---|---|---|
| 5.1494 | 0.0196 | 3.7403 | 4.3409 | 0.0256 | 0.7553 | 0 |
| 4.0236 | 0.0274 | 0.6316 | 3.6960 | 0.0302 | 0.1658 | 1 |
| 3.5216 | 0.0312 | 0.1467 | 3.3497 | 0.0311 | 0.0012 | 2 |
| 3.2259 | 0.0330 | 0.0850 | 3.1532 | 0.0337 | 0.0023 | 3 |
| 3.0948 | 0.0343 | 0.0859 | 3.0780 | 0.0341 | 0.0021 | 4 |
| 3.0263 | 0.0346 | 0.0848 | 3.0221 | 0.0343 | 0.0019 | 5 |
| 2.9743 | 0.0354 | 0.0865 | 2.9779 | 0.0347 | 0.0045 | 6 |
| 2.9255 | 0.0361 | 0.0990 | 2.9337 | 0.0352 | 0.0174 | 7 |
| 2.8788 | 0.0367 | 0.1068 | 2.8909 | 0.0365 | 0.0365 | 8 |
| 2.8290 | 0.0380 | 0.1529 | 2.8448 | 0.0369 | 0.0515 | 9 |
| 2.7773 | 0.0385 | 0.2255 | 2.7985 | 0.0380 | 0.1572 | 10 |
| 2.7243 | 0.0393 | 0.4532 | 2.7524 | 0.0384 | 0.6297 | 11 |
| 2.6716 | 0.0398 | 0.8369 | 2.7011 | 0.0384 | 1.0735 | 12 |
| 2.6154 | 0.0403 | 1.3705 | 2.6551 | 0.0389 | 1.9171 | 13 |
| 2.5617 | 0.0410 | 1.7919 | 2.6068 | 0.0395 | 2.0386 | 14 |
Framework versions
- Transformers 4.31.0
- TensorFlow 2.13.0
- Tokenizers 0.13.3
