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whisper_4_with_init_sun_syl_wd_0_lr_3en4_0015
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: 0.5904
- Train Accuracy: 0.0299
- Train Wermet: 0.2126
- Train Wermet Syl: 0.3151
- Validation Loss: 1.2623
- Validation Accuracy: 0.0203
- Validation Wermet: 0.3877
- Validation Wermet Syl: 0.4289
- Epoch: 14
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': 0.0003, '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 |
|---|---|---|---|---|---|---|---|---|
| 4.9621 | 0.0111 | 1.3737 | 1.2531 | 3.9542 | 0.0114 | 0.9773 | 0.9699 | 0 |
| 4.6813 | 0.0116 | 0.9321 | 0.9542 | 3.9070 | 0.0114 | 0.9669 | 0.9552 | 1 |
| 4.6267 | 0.0117 | 0.9053 | 0.9424 | 3.9109 | 0.0114 | 0.9465 | 0.9128 | 2 |
| 4.5866 | 0.0118 | 0.8961 | 0.9453 | 3.8787 | 0.0115 | 0.9210 | 0.8988 | 3 |
| 4.5246 | 0.0119 | 0.9086 | 1.0238 | 3.8947 | 0.0113 | 0.9346 | 0.8618 | 4 |
| 4.0723 | 0.0131 | 0.9445 | 1.1479 | 2.8783 | 0.0135 | 0.8293 | 0.9656 | 5 |
| 2.9304 | 0.0167 | 1.1693 | 1.7199 | 1.7990 | 0.0168 | 0.5867 | 0.6425 | 6 |
| 2.0844 | 0.0201 | 0.8414 | 1.1849 | 1.5133 | 0.0180 | 0.5178 | 0.5473 | 7 |
| 1.6228 | 0.0225 | 0.7801 | 1.0964 | 1.3701 | 0.0189 | 0.4690 | 0.5092 | 8 |
| 1.2715 | 0.0246 | 0.5866 | 0.8432 | 1.2543 | 0.0196 | 0.4646 | 0.5397 | 9 |
| 1.0487 | 0.0262 | 0.4624 | 0.6756 | 1.4263 | 0.0189 | 0.4109 | 0.4091 | 10 |
| 0.9402 | 0.0270 | 0.4029 | 0.5997 | 1.2081 | 0.0201 | 0.3824 | 0.3900 | 11 |
| 0.7721 | 0.0283 | 0.2795 | 0.4125 | 1.2559 | 0.0198 | 0.3685 | 0.3519 | 12 |
| 0.7018 | 0.0288 | 0.2506 | 0.3646 | 1.2722 | 0.0203 | 0.3594 | 0.3529 | 13 |
| 0.5904 | 0.0299 | 0.2126 | 0.3151 | 1.2623 | 0.0203 | 0.3877 | 0.4289 | 14 |
Framework versions
- Transformers 4.34.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3
