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whisper_4_with_init_sun__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: 4.5075
- Train Accuracy: 0.0122
- Train Wermet: 0.7405
- Validation Loss: 3.7472
- Validation Accuracy: 0.0119
- Validation Wermet: 0.8103
- 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 |
|---|---|---|---|---|---|---|
| 5.3333 | 0.0111 | 1.3132 | 3.9675 | 0.0114 | 0.9339 | 0 |
| 4.7131 | 0.0116 | 0.8607 | 3.9360 | 0.0114 | 0.9503 | 1 |
| 4.6717 | 0.0117 | 0.8449 | 3.9196 | 0.0113 | 0.9768 | 2 |
| 4.6474 | 0.0117 | 0.8338 | 3.9039 | 0.0114 | 0.9557 | 3 |
| 4.6273 | 0.0118 | 0.8243 | 3.8721 | 0.0115 | 0.9414 | 4 |
| 4.6101 | 0.0118 | 0.8167 | 3.8629 | 0.0116 | 0.9156 | 5 |
| 4.5912 | 0.0119 | 0.7985 | 3.8361 | 0.0116 | 0.8988 | 6 |
| 4.5645 | 0.0120 | 0.7753 | 3.8298 | 0.0116 | 0.9045 | 7 |
| 4.5386 | 0.0121 | 0.7558 | 3.7904 | 0.0118 | 0.8426 | 8 |
| 4.5075 | 0.0122 | 0.7405 | 3.7472 | 0.0119 | 0.8103 | 9 |
Framework versions
- Transformers 4.34.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3
