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whisper_4_with_init_sun_syl_wd_0_lr_5en4_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: 1.5840
- Train Accuracy: 0.0226
- Train Wermet: 1.2436
- Train Wermet Syl: 1.9323
- Validation Loss: 1.4040
- Validation Accuracy: 0.0188
- Validation Wermet: 0.5958
- Validation Wermet Syl: 0.6870
- 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': 0.0005, '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 |
|---|---|---|---|---|---|---|---|---|
| 4.9887 | 0.0111 | 2.4313 | 2.0277 | 3.9591 | 0.0113 | 0.9814 | 0.9748 | 0 |
| 4.6955 | 0.0116 | 1.0254 | 1.1408 | 3.9756 | 0.0114 | 0.9556 | 0.9274 | 1 |
| 4.6375 | 0.0117 | 0.9863 | 1.1057 | 3.9172 | 0.0113 | 1.0035 | 1.0561 | 2 |
| 4.5880 | 0.0118 | 0.9259 | 1.0151 | 3.8477 | 0.0115 | 0.9131 | 0.8768 | 3 |
| 4.4281 | 0.0121 | 0.9097 | 1.0158 | 3.4905 | 0.0121 | 0.8963 | 0.8527 | 4 |
| 3.7757 | 0.0137 | 0.9637 | 1.1849 | 2.6810 | 0.0138 | 0.8056 | 0.7421 | 5 |
| 2.9154 | 0.0165 | 0.7874 | 0.9588 | 2.0364 | 0.0160 | 0.6531 | 0.6367 | 6 |
| 2.2740 | 0.0191 | 0.9549 | 1.3576 | 1.6962 | 0.0173 | 0.6010 | 0.6229 | 7 |
| 1.8660 | 0.0210 | 0.8321 | 1.1975 | 1.4948 | 0.0183 | 0.5637 | 0.6709 | 8 |
| 1.5840 | 0.0226 | 1.2436 | 1.9323 | 1.4040 | 0.0188 | 0.5958 | 0.6870 | 9 |
Framework versions
- Transformers 4.34.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3
