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whisper_attention_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: 4.6317
- Train Accuracy: 0.0118
- Train Wermet: 1.2794
- Validation Loss: 3.8796
- Validation Accuracy: 0.0114
- Validation Wermet: 1.8964
- 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 |
|---|---|---|---|---|---|---|
| 5.4192 | 0.0107 | 1.9359 | 3.9929 | 0.0112 | 3.4029 | 0 |
| 4.7175 | 0.0116 | 1.3557 | 3.9525 | 0.0113 | 3.2613 | 1 |
| 4.6756 | 0.0117 | 1.4198 | 3.9189 | 0.0113 | 2.6795 | 2 |
| 4.6543 | 0.0117 | 1.3165 | 3.9021 | 0.0114 | 2.2678 | 3 |
| 4.6317 | 0.0118 | 1.2794 | 3.8796 | 0.0114 | 1.8964 | 4 |
Framework versions
- Transformers 4.33.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3
