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whisper_4_with_init_sun_syl_wd_0_lr_en4_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: 4.1772
- Train Accuracy: 0.0130
- Train Wermet: 0.7540
- Train Wermet Syl: 0.7249
- Validation Loss: 2.8900
- Validation Accuracy: 0.0136
- Validation Wermet: 0.7575
- Validation Wermet Syl: 0.7119
- 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-04, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Train Wermet | Train Wermet Syl | Validation Loss | Validation Accuracy | Validation Wermet | Validation Wermet Syl | Epoch |
|---|---|---|---|---|---|---|---|---|
| 4.9733 | 0.0111 | 1.5643 | 1.4238 | 3.9610 | 0.0114 | 0.9612 | 0.9404 | 0 |
| 4.6745 | 0.0116 | 0.8628 | 0.8245 | 3.8859 | 0.0115 | 0.9258 | 0.8928 | 1 |
| 4.6271 | 0.0117 | 0.8456 | 0.8063 | 3.8727 | 0.0114 | 0.9561 | 0.9364 | 2 |
| 4.5738 | 0.0119 | 0.8242 | 0.8004 | 3.7410 | 0.0117 | 0.8760 | 0.8375 | 3 |
| 4.1772 | 0.0130 | 0.7540 | 0.7249 | 2.8900 | 0.0136 | 0.7575 | 0.7119 | 4 |
Framework versions
- Transformers 4.34.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3
