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whisper_input_decoder_no_lob_with_force__0030
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: 1.9219
- Train Accuracy: 0.0216
- Train Wermet: 0.4433
- Validation Loss: 1.6287
- Validation Accuracy: 0.0179
- Validation Wermet: 0.4979
- Epoch: 29
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': 1e-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 |
|---|---|---|---|---|---|---|
| 5.4192 | 0.0107 | 1.1095 | 3.9799 | 0.0114 | 0.9502 | 0 |
| 4.7193 | 0.0116 | 0.8751 | 3.9335 | 0.0114 | 0.9414 | 1 |
| 4.6743 | 0.0117 | 0.8498 | 3.9949 | 0.0112 | 0.9682 | 2 |
| 4.6508 | 0.0117 | 0.8454 | 3.8900 | 0.0114 | 0.9453 | 3 |
| 4.6308 | 0.0118 | 0.8337 | 3.8853 | 0.0114 | 0.9495 | 4 |
| 4.6102 | 0.0118 | 0.8215 | 3.8884 | 0.0115 | 0.9205 | 5 |
| 4.5940 | 0.0118 | 0.8132 | 3.8409 | 0.0116 | 0.9007 | 6 |
| 4.5703 | 0.0119 | 0.7971 | 3.8224 | 0.0116 | 0.9098 | 7 |
| 4.5470 | 0.0120 | 0.7822 | 3.8013 | 0.0116 | 0.8938 | 8 |
| 4.5219 | 0.0120 | 0.7679 | 3.7776 | 0.0117 | 0.8829 | 9 |
| 4.4859 | 0.0121 | 0.7519 | 3.7360 | 0.0118 | 0.8411 | 10 |
| 4.4408 | 0.0123 | 0.7412 | 3.6972 | 0.0118 | 0.8593 | 11 |
| 4.3774 | 0.0124 | 0.7240 | 3.6035 | 0.0121 | 0.8234 | 12 |
| 4.2906 | 0.0127 | 0.7168 | 3.5057 | 0.0123 | 0.8130 | 13 |
| 4.1748 | 0.0130 | 0.7090 | 3.3528 | 0.0127 | 0.7856 | 14 |
| 4.0214 | 0.0135 | 0.7048 | 3.2086 | 0.0130 | 0.7786 | 15 |
| 3.8434 | 0.0140 | 0.6918 | 3.0436 | 0.0134 | 0.7466 | 16 |
| 3.6564 | 0.0146 | 0.6797 | 2.8693 | 0.0138 | 0.7348 | 17 |
| 3.4565 | 0.0152 | 0.6658 | 2.6967 | 0.0143 | 0.7131 | 18 |
| 3.2849 | 0.0158 | 0.6496 | 2.5221 | 0.0148 | 0.6792 | 19 |
| 3.0761 | 0.0165 | 0.6273 | 2.3796 | 0.0153 | 0.6550 | 20 |
| 2.9131 | 0.0171 | 0.6028 | 2.2468 | 0.0156 | 0.6282 | 21 |
| 2.7468 | 0.0178 | 0.5812 | 2.1322 | 0.0160 | 0.6123 | 22 |
| 2.6133 | 0.0183 | 0.5606 | 2.1131 | 0.0160 | 0.5950 | 23 |
| 2.4732 | 0.0189 | 0.5367 | 2.0006 | 0.0164 | 0.5730 | 24 |
| 2.3339 | 0.0196 | 0.5164 | 1.8895 | 0.0168 | 0.5532 | 25 |
| 2.2300 | 0.0200 | 0.4985 | 1.8183 | 0.0172 | 0.5430 | 26 |
| 2.1215 | 0.0206 | 0.4787 | 1.7413 | 0.0174 | 0.5230 | 27 |
| 2.0359 | 0.0210 | 0.4608 | 1.6732 | 0.0177 | 0.5099 | 28 |
| 1.9219 | 0.0216 | 0.4433 | 1.6287 | 0.0179 | 0.4979 | 29 |
Framework versions
- Transformers 4.33.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3
