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whisper_wermet_nosup_0005
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: 1.5621
- Train Accuracy: 0.0250
- Train Wermet: 9.7248
- Validation Loss: 1.2443
- Validation Accuracy: 0.0273
- Validation Wermet: 5.4731
- Epoch: 4
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 |
|---|---|---|---|---|---|---|
| 5.0729 | 0.0113 | 42.1824 | 4.4421 | 0.0120 | 27.3059 | 0 |
| 4.3249 | 0.0126 | 23.9224 | 4.0443 | 0.0141 | 18.2054 | 1 |
| 3.8845 | 0.0144 | 12.7780 | 3.4577 | 0.0169 | 10.3356 | 2 |
| 2.7411 | 0.0198 | 15.0018 | 1.8774 | 0.0244 | 14.5666 | 3 |
| 1.5621 | 0.0250 | 9.7248 | 1.2443 | 0.0273 | 5.4731 | 4 |
Framework versions
- Transformers 4.27.0.dev0
- TensorFlow 2.11.0
- Datasets 2.10.0
- Tokenizers 0.13.2
