wh_4_sun_syl_w_0_lr_8en5_b32_0025
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: 0.4963
- Train Accuracy: 0.0312
- Train Wermet: 0.1340
- Train Wermet Syl: 0.2298
- Validation Loss: 1.4423
- Validation Accuracy: 0.0189
- Validation Wermet: 0.3788
- Validation Wermet Syl: 0.3437
- Epoch: 24
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 |
0.7453 | 0.0290 | 0.2613 | 0.4292 | 1.1716 | 0.0203 | 0.3453 | 0.3306 | 20 |
0.6662 | 0.0296 | 0.2193 | 0.3666 | 1.1194 | 0.0205 | 0.3391 | 0.3188 | 21 |
0.5670 | 0.0305 | 0.1841 | 0.3121 | 1.2457 | 0.0200 | 0.3477 | 0.3347 | 22 |
0.5777 | 0.0304 | 0.1711 | 0.2936 | 1.2328 | 0.0201 | 0.3512 | 0.3321 | 23 |
0.4963 | 0.0312 | 0.1340 | 0.2298 | 1.4423 | 0.0189 | 0.3788 | 0.3437 | 24 |
Framework versions
- Transformers 4.34.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3
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