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wh_4_sun_syl_w_0_lr_8en5_b32_0020
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: 0.9117
- Train Accuracy: 0.0276
- Train Wermet: 0.2949
- Train Wermet Syl: 0.4680
- Validation Loss: 1.2758
- Validation Accuracy: 0.0192
- Validation Wermet: 0.4053
- Validation Wermet Syl: 0.4485
- Epoch: 19
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': 8e-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 |
|---|---|---|---|---|---|---|---|---|
| 5.2081 | 0.0105 | 1.5151 | 1.1936 | 4.0143 | 0.0113 | 0.9817 | 0.9765 | 0 |
| 4.7532 | 0.0116 | 0.8756 | 0.8371 | 3.9494 | 0.0114 | 0.9457 | 0.9171 | 1 |
| 4.7031 | 0.0117 | 0.8615 | 0.8175 | 3.9244 | 0.0114 | 0.9383 | 0.8993 | 2 |
| 4.6799 | 0.0117 | 0.8569 | 0.8117 | 3.9091 | 0.0114 | 0.9659 | 0.9487 | 3 |
| 4.6415 | 0.0117 | 0.8450 | 0.7985 | 3.8828 | 0.0115 | 0.9227 | 0.8867 | 4 |
| 4.6194 | 0.0118 | 0.8366 | 0.7901 | 3.8588 | 0.0115 | 0.9314 | 0.8973 | 5 |
| 4.5993 | 0.0118 | 0.8253 | 0.7803 | 3.9068 | 0.0116 | 0.9000 | 0.8526 | 6 |
| 4.5584 | 0.0120 | 0.7864 | 0.7455 | 3.7567 | 0.0118 | 0.8407 | 0.7907 | 7 |
| 4.4423 | 0.0123 | 0.7655 | 0.7209 | 3.5099 | 0.0123 | 0.8256 | 0.7786 | 8 |
| 4.0719 | 0.0133 | 0.7479 | 0.7112 | 2.9385 | 0.0135 | 0.7636 | 0.7193 | 9 |
| 3.5177 | 0.0148 | 0.7049 | 0.6917 | 2.4295 | 0.0148 | 0.6907 | 0.6559 | 10 |
| 2.8931 | 0.0170 | 0.6532 | 0.6928 | 2.0341 | 0.0161 | 0.6031 | 0.5778 | 11 |
| 2.4018 | 0.0190 | 0.6050 | 0.7024 | 1.7053 | 0.0174 | 0.5373 | 0.5223 | 12 |
| 1.9940 | 0.0210 | 0.5579 | 0.7168 | 1.5422 | 0.0180 | 0.4803 | 0.4793 | 13 |
| 1.7258 | 0.0223 | 0.5356 | 0.7426 | 1.4314 | 0.0186 | 0.4270 | 0.4029 | 14 |
| 1.4823 | 0.0237 | 0.4865 | 0.7094 | 1.3495 | 0.0190 | 0.4146 | 0.4082 | 15 |
| 1.2444 | 0.0252 | 0.4278 | 0.6455 | 1.2070 | 0.0198 | 0.3945 | 0.3965 | 16 |
| 1.1179 | 0.0261 | 0.3774 | 0.5791 | 1.1574 | 0.0200 | 0.3679 | 0.3479 | 17 |
| 1.0182 | 0.0267 | 0.3377 | 0.5283 | 1.3384 | 0.0189 | 0.3799 | 0.3800 | 18 |
| 0.9117 | 0.0276 | 0.2949 | 0.4680 | 1.2758 | 0.0192 | 0.4053 | 0.4485 | 19 |
Framework versions
- Transformers 4.34.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3
