metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-a-nomimo-17
results: []
whisper-a-nomimo-17
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0292
- Wer: 9.7222
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: 0.0004
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 132
- num_epochs: 17
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.9831 | 1.0 | 104 | 0.2031 | 33.0247 |
| 0.3134 | 2.0 | 208 | 0.1138 | 87.1142 |
| 0.0638 | 3.0 | 312 | 0.0907 | 27.4691 |
| 0.0503 | 4.0 | 416 | 0.0745 | 26.4660 |
| 0.0592 | 5.0 | 520 | 0.0361 | 25.3858 |
| 0.0329 | 6.0 | 624 | 0.0674 | 27.7006 |
| 0.0276 | 7.0 | 728 | 0.0524 | 47.0679 |
| 0.0322 | 8.0 | 832 | 0.0321 | 12.5 |
| 0.015 | 9.0 | 936 | 0.0357 | 13.6574 |
| 0.0117 | 10.0 | 1040 | 0.0335 | 10.3395 |
| 0.0075 | 11.0 | 1144 | 0.0387 | 12.1914 |
| 0.0085 | 12.0 | 1248 | 0.0306 | 9.8765 |
| 0.0056 | 13.0 | 1352 | 0.0311 | 9.0278 |
| 0.0031 | 14.0 | 1456 | 0.0274 | 8.9506 |
| 0.0038 | 15.0 | 1560 | 0.0288 | 9.7222 |
| 0.0024 | 16.0 | 1664 | 0.0288 | 9.4136 |
| 0.0013 | 16.8406 | 1751 | 0.0292 | 9.7222 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.21.0