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-18
results: []
whisper-a-nomimo-18
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: 0.0290
- Wer: 143.6728
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: 18
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.0616 | 1.0 | 104 | 0.2173 | 30.0926 |
| 0.14 | 2.0 | 208 | 0.0770 | 18.5957 |
| 0.0714 | 3.0 | 312 | 0.0723 | 19.6759 |
| 0.0513 | 4.0 | 416 | 0.0671 | 20.5247 |
| 0.0381 | 5.0 | 520 | 0.0415 | 17.9012 |
| 0.0468 | 6.0 | 624 | 0.0463 | 22.3765 |
| 0.0352 | 7.0 | 728 | 0.1139 | 42.5154 |
| 0.0195 | 8.0 | 832 | 0.0457 | 148.7654 |
| 0.0185 | 9.0 | 936 | 0.0430 | 172.6852 |
| 0.0129 | 10.0 | 1040 | 0.0312 | 154.8611 |
| 0.0106 | 11.0 | 1144 | 0.0405 | 145.5247 |
| 0.0084 | 12.0 | 1248 | 0.0325 | 154.9383 |
| 0.0058 | 13.0 | 1352 | 0.0320 | 152.0062 |
| 0.0039 | 14.0 | 1456 | 0.0263 | 144.5216 |
| 0.0044 | 15.0 | 1560 | 0.0270 | 148.3796 |
| 0.0028 | 16.0 | 1664 | 0.0285 | 148.6883 |
| 0.0015 | 17.0 | 1768 | 0.0285 | 147.3765 |
| 0.002 | 17.8309 | 1854 | 0.0290 | 143.6728 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.21.0