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whisper_charsplit_new_round3__0013
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: 0.0001
- Train Accuracy: 0.0795
- Train Wermet: 7.7721
- Validation Loss: 0.5726
- Validation Accuracy: 0.0771
- Validation Wermet: 6.8911
- Epoch: 12
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 | 7.9492 | 0.5730 | 0.0769 | 7.2856 | 0 |
| 0.0015 | 0.0795 | 8.4221 | 0.5756 | 0.0769 | 7.1487 | 1 |
| 0.0012 | 0.0795 | 7.8476 | 0.5699 | 0.0769 | 6.5976 | 2 |
| 0.0010 | 0.0795 | 7.6843 | 0.5740 | 0.0769 | 6.9513 | 3 |
| 0.0014 | 0.0795 | 8.0796 | 0.5763 | 0.0768 | 7.4043 | 4 |
| 0.0019 | 0.0795 | 7.7274 | 0.5724 | 0.0769 | 6.4922 | 5 |
| 0.0008 | 0.0795 | 7.3468 | 0.5734 | 0.0769 | 6.1909 | 6 |
| 0.0009 | 0.0795 | 7.2393 | 0.5816 | 0.0769 | 6.5734 | 7 |
| 0.0010 | 0.0795 | 7.5822 | 0.5755 | 0.0769 | 6.6613 | 8 |
| 0.0004 | 0.0795 | 7.3807 | 0.5698 | 0.0770 | 7.0671 | 9 |
| 0.0001 | 0.0795 | 7.7157 | 0.5681 | 0.0771 | 6.8391 | 10 |
| 0.0001 | 0.0795 | 7.7540 | 0.5725 | 0.0771 | 6.9281 | 11 |
| 0.0001 | 0.0795 | 7.7721 | 0.5726 | 0.0771 | 6.8911 | 12 |
Framework versions
- Transformers 4.32.0.dev0
- TensorFlow 2.12.0
- Tokenizers 0.13.3
