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whisper_4_with_init_sun_char_0010
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: 2.8976
- Train Accuracy: 0.0339
- Train Wermet: 0.0729
- Validation Loss: 2.5997
- Validation Accuracy: 0.0245
- Validation Wermet: 0.0944
- 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 |
|---|---|---|---|---|---|---|
| 3.2071 | 0.0313 | 0.1237 | 2.8546 | 0.0225 | 0.1109 | 0 |
| 3.0365 | 0.0325 | 0.0375 | 2.8115 | 0.0228 | 0.1215 | 1 |
| 3.0162 | 0.0326 | 0.0484 | 2.7884 | 0.0231 | 0.1318 | 2 |
| 3.0042 | 0.0327 | 0.0555 | 2.7853 | 0.0233 | 0.1393 | 3 |
| 2.9934 | 0.0328 | 0.0614 | 2.7657 | 0.0232 | 0.1273 | 4 |
| 2.9858 | 0.0329 | 0.0654 | 2.7542 | 0.0234 | 0.1073 | 5 |
| 2.9735 | 0.0330 | 0.0673 | 2.7367 | 0.0234 | 0.1414 | 6 |
| 2.9574 | 0.0332 | 0.0704 | 2.6961 | 0.0240 | 0.1429 | 7 |
| 2.9320 | 0.0335 | 0.0723 | 2.6652 | 0.0239 | 0.0990 | 8 |
| 2.8976 | 0.0339 | 0.0729 | 2.5997 | 0.0245 | 0.0944 | 9 |
Framework versions
- Transformers 4.34.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3
