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train_from_raw_cv12_true__0040
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: 0.0074
- Train Accuracy: 0.1114
- Train Wermet: 4.0721
- Validation Loss: 0.4775
- Validation Accuracy: 0.0637
- Validation Wermet: 10.9922
- Epoch: 39
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': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Train Wermet | Validation Loss | Validation Accuracy | Validation Wermet | Epoch |
|---|---|---|---|---|---|---|
| 2.3396 | 0.0444 | 2.7124 | 1.8124 | 0.0331 | 9.4418 | 0 |
| 1.7496 | 0.0562 | 3.2708 | 1.6529 | 0.0359 | 9.7805 | 1 |
| 1.6254 | 0.0594 | 3.1714 | 1.5874 | 0.0371 | 10.4139 | 2 |
| 1.5490 | 0.0615 | 3.0208 | 1.5102 | 0.0382 | 8.2054 | 3 |
| 1.4910 | 0.0631 | 2.8298 | 1.4213 | 0.0402 | 8.9930 | 4 |
| 1.4233 | 0.0650 | 2.7100 | 1.3319 | 0.0421 | 8.8483 | 5 |
| 1.3203 | 0.0679 | 2.5125 | 1.1806 | 0.0450 | 7.0373 | 6 |
| 1.1453 | 0.0730 | 2.5001 | 1.0029 | 0.0484 | 5.7328 | 7 |
| 0.9537 | 0.0789 | 2.6295 | 0.7799 | 0.0529 | 6.7373 | 8 |
| 0.7822 | 0.0844 | 2.7501 | 0.6499 | 0.0556 | 8.5538 | 9 |
| 0.6317 | 0.0895 | 2.9507 | 0.5467 | 0.0578 | 8.4990 | 10 |
| 0.5010 | 0.0940 | 3.1604 | 0.4597 | 0.0597 | 9.4002 | 11 |
| 0.4026 | 0.0975 | 3.2910 | 0.3984 | 0.0610 | 9.8173 | 12 |
| 0.3372 | 0.0998 | 3.5302 | 0.3571 | 0.0619 | 9.6433 | 13 |
| 0.2922 | 0.1013 | 3.5614 | 0.3391 | 0.0623 | 9.6152 | 14 |
| 0.2572 | 0.1025 | 3.5685 | 0.3157 | 0.0628 | 9.4497 | 15 |
| 0.2258 | 0.1036 | 3.5179 | 0.3104 | 0.0630 | 9.7735 | 16 |
| 0.1995 | 0.1045 | 3.5362 | 0.2944 | 0.0634 | 9.8154 | 17 |
| 0.1762 | 0.1054 | 3.5227 | 0.2820 | 0.0637 | 9.8672 | 18 |
| 0.1551 | 0.1061 | 3.5489 | 0.2849 | 0.0638 | 9.6569 | 19 |
| 0.1356 | 0.1068 | 3.4990 | 0.2821 | 0.0639 | 9.9735 | 20 |
| 0.1174 | 0.1074 | 3.5119 | 0.2841 | 0.0640 | 9.8770 | 21 |
| 0.1016 | 0.1080 | 3.5233 | 0.2903 | 0.0640 | 10.0309 | 22 |
| 0.0847 | 0.1087 | 3.5368 | 0.3013 | 0.0640 | 9.8095 | 23 |
| 0.0713 | 0.1092 | 3.5250 | 0.3040 | 0.0640 | 9.7686 | 24 |
| 0.0596 | 0.1096 | 3.5310 | 0.3137 | 0.0640 | 9.9239 | 25 |
| 0.0478 | 0.1101 | 3.5776 | 0.3228 | 0.0641 | 10.2774 | 26 |
| 0.0400 | 0.1104 | 3.6155 | 0.3316 | 0.0641 | 9.9082 | 27 |
| 0.0301 | 0.1107 | 3.6545 | 0.3446 | 0.0641 | 9.9672 | 28 |
| 0.0227 | 0.1110 | 3.7827 | 0.3579 | 0.0641 | 10.2859 | 29 |
| 0.0179 | 0.1112 | 3.7672 | 0.3728 | 0.0640 | 10.1965 | 30 |
| 0.0148 | 0.1112 | 3.7575 | 0.3829 | 0.0641 | 10.5114 | 31 |
| 0.0116 | 0.1113 | 3.7682 | 0.3959 | 0.0641 | 10.4941 | 32 |
| 0.0100 | 0.1114 | 3.8332 | 0.4056 | 0.0641 | 10.6330 | 33 |
| 0.0140 | 0.1112 | 3.8661 | 0.4283 | 0.0638 | 10.5741 | 34 |
| 0.0159 | 0.1111 | 3.8054 | 0.4203 | 0.0640 | 10.5108 | 35 |
| 0.0085 | 0.1114 | 3.7278 | 0.4236 | 0.0641 | 10.3731 | 36 |
| 0.0052 | 0.1115 | 3.8251 | 0.4366 | 0.0641 | 10.5728 | 37 |
| 0.0058 | 0.1115 | 3.9767 | 0.4459 | 0.0641 | 10.5720 | 38 |
| 0.0074 | 0.1114 | 4.0721 | 0.4775 | 0.0637 | 10.9922 | 39 |
Framework versions
- Transformers 4.33.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3
