whisper_charsplit_new_0011
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: 0.1628
- Train Accuracy: 0.0758
- Train Wermet: 11.7056
- Validation Loss: 0.2993
- Validation Accuracy: 0.0757
- Validation Wermet: 9.9497
- Epoch: 10
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 |
| 0.8733 |
0.0602 |
13.0686 |
0.6470 |
0.0676 |
11.4066 |
0 |
| 0.5740 |
0.0666 |
12.7778 |
0.5113 |
0.0706 |
11.1022 |
1 |
| 0.4553 |
0.0692 |
12.2404 |
0.4371 |
0.0723 |
10.9105 |
2 |
| 0.3813 |
0.0708 |
11.9157 |
0.3935 |
0.0733 |
9.4615 |
3 |
| 0.3292 |
0.0720 |
11.5732 |
0.3630 |
0.0740 |
9.9885 |
4 |
| 0.2886 |
0.0729 |
11.5171 |
0.3403 |
0.0745 |
9.8042 |
5 |
| 0.2561 |
0.0736 |
11.3173 |
0.3256 |
0.0749 |
9.9431 |
6 |
| 0.2282 |
0.0743 |
11.7308 |
0.3159 |
0.0752 |
9.2086 |
7 |
| 0.2036 |
0.0748 |
11.4503 |
0.3071 |
0.0754 |
9.5236 |
8 |
| 0.1820 |
0.0754 |
11.7175 |
0.3005 |
0.0756 |
10.0755 |
9 |
| 0.1628 |
0.0758 |
11.7056 |
0.2993 |
0.0757 |
9.9497 |
10 |
Framework versions
- Transformers 4.32.0.dev0
- TensorFlow 2.12.0
- Tokenizers 0.13.3
