metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: openai/whisper-small
datasets:
- librispeech
model-index:
- name: Whisper Small English 1h
results: []
Whisper Small English 1h
This model is a fine-tuned version of openai/whisper-small on the librispeech dataset. It achieves the following results on the evaluation set:
- Loss: 0.1760
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:
- learning_rate: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7144 | 1.0 | 39 | 1.4900 |
| 0.4793 | 2.0 | 78 | 0.5925 |
| 0.3478 | 3.0 | 117 | 0.5148 |
| 0.2552 | 4.0 | 156 | 0.4314 |
| 0.1964 | 5.0 | 195 | 0.1524 |
| 0.0281 | 6.0 | 234 | 0.1534 |
| 0.0254 | 7.0 | 273 | 0.1537 |
| 0.0133 | 8.0 | 312 | 0.1613 |
| 0.011 | 9.0 | 351 | 0.1601 |
| 0.0088 | 10.0 | 390 | 0.1619 |
| 0.007 | 11.0 | 429 | 0.1659 |
| 0.0067 | 12.0 | 468 | 0.1647 |
| 0.0056 | 13.0 | 507 | 0.1671 |
| 0.0053 | 14.0 | 546 | 0.1683 |
| 0.0047 | 15.0 | 585 | 0.1687 |
| 0.0041 | 16.0 | 624 | 0.1703 |
| 0.0037 | 17.0 | 663 | 0.1715 |
| 0.0037 | 18.0 | 702 | 0.1721 |
| 0.0035 | 19.0 | 741 | 0.1726 |
| 0.0034 | 20.0 | 780 | 0.1730 |
| 0.0032 | 21.0 | 819 | 0.1738 |
| 0.0031 | 22.0 | 858 | 0.1741 |
| 0.0033 | 23.0 | 897 | 0.1744 |
| 0.003 | 24.0 | 936 | 0.1748 |
| 0.0029 | 25.0 | 975 | 0.1756 |
| 0.003 | 26.0 | 1014 | 0.1756 |
| 0.0028 | 27.0 | 1053 | 0.1756 |
| 0.0027 | 28.0 | 1092 | 0.1760 |
| 0.0027 | 29.0 | 1131 | 0.1760 |
| 0.0027 | 30.0 | 1170 | 0.1760 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1