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whisper_charsplit_new_round4__0015
This model is a fine-tuned version of bigmorning/whisper_charsplit_new_round2__0061 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0009
- Train Accuracy: 0.0795
- Train Wermet: 8.6866
- Validation Loss: 0.5777
- Validation Accuracy: 0.0771
- Validation Wermet: 7.5804
- 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': 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 |
|---|---|---|---|---|---|---|
| 0.0009 | 0.0795 | 7.9702 | 0.5713 | 0.0770 | 6.9300 | 0 |
| 0.0011 | 0.0795 | 7.7485 | 0.5743 | 0.0771 | 6.6465 | 1 |
| 0.0011 | 0.0795 | 8.1600 | 0.5748 | 0.0771 | 7.1363 | 2 |
| 0.0008 | 0.0795 | 8.1954 | 0.5845 | 0.0770 | 7.1869 | 3 |
| 0.0009 | 0.0795 | 8.4533 | 0.5771 | 0.0771 | 7.4112 | 4 |
| 0.0009 | 0.0795 | 8.3048 | 0.5912 | 0.0770 | 6.5276 | 5 |
| 0.0008 | 0.0795 | 8.2183 | 0.5810 | 0.0771 | 7.1210 | 6 |
| 0.0011 | 0.0795 | 8.3785 | 0.5861 | 0.0770 | 7.6613 | 7 |
| 0.0010 | 0.0795 | 8.0860 | 0.5811 | 0.0771 | 7.0809 | 8 |
| 0.0009 | 0.0795 | 8.2523 | 0.5894 | 0.0770 | 7.1269 | 9 |
| 0.0006 | 0.0795 | 8.7530 | 0.5819 | 0.0771 | 7.3657 | 10 |
| 0.0007 | 0.0795 | 8.5391 | 0.5773 | 0.0771 | 7.7370 | 11 |
| 0.0010 | 0.0795 | 8.8222 | 0.5894 | 0.0770 | 7.9252 | 12 |
| 0.0014 | 0.0795 | 8.9039 | 0.5880 | 0.0771 | 7.6404 | 13 |
| 0.0009 | 0.0795 | 8.6866 | 0.5777 | 0.0771 | 7.5804 | 14 |
Framework versions
- Transformers 4.32.0.dev0
- TensorFlow 2.12.0
- Tokenizers 0.13.3
