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whisper_4_with_init_sun_syl_wd_0_lr_9en5_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: 1.1777
- Train Accuracy: 0.0257
- Train Wermet: 0.2978
- Train Wermet Syl: 0.3545
- Validation Loss: 1.1199
- Validation Accuracy: 0.0201
- Validation Wermet: 0.3470
- Validation Wermet Syl: 0.3139
- 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': 9e-05, '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 |
|---|---|---|---|---|---|---|---|---|
| 4.9681 | 0.0110 | 1.0978 | 1.0320 | 3.9638 | 0.0115 | 0.9381 | 0.9056 | 0 |
| 4.6761 | 0.0117 | 0.8575 | 0.8228 | 3.9169 | 0.0114 | 0.9712 | 0.9620 | 1 |
| 4.6236 | 0.0117 | 0.8445 | 0.8081 | 3.8797 | 0.0114 | 0.9326 | 0.8917 | 2 |
| 4.5632 | 0.0119 | 0.8050 | 0.7742 | 3.7177 | 0.0119 | 0.8440 | 0.7958 | 3 |
| 4.1937 | 0.0130 | 0.7566 | 0.7272 | 3.0202 | 0.0133 | 0.7910 | 0.7506 | 4 |
| 3.3184 | 0.0155 | 0.6793 | 0.6727 | 2.3451 | 0.0150 | 0.6482 | 0.6128 | 5 |
| 2.5030 | 0.0186 | 0.5700 | 0.6068 | 1.7355 | 0.0172 | 0.5112 | 0.4890 | 6 |
| 1.9211 | 0.0214 | 0.4611 | 0.5181 | 1.3854 | 0.0187 | 0.4265 | 0.3990 | 7 |
| 1.4913 | 0.0237 | 0.3598 | 0.4021 | 1.2044 | 0.0197 | 0.3828 | 0.3518 | 8 |
| 1.1777 | 0.0257 | 0.2978 | 0.3545 | 1.1199 | 0.0201 | 0.3470 | 0.3139 | 9 |
Framework versions
- Transformers 4.34.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3
