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Whisper Small Diny
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 1.3108
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.5747 | 1.0 | 4 | 3.8772 |
| 3.5154 | 2.0 | 8 | 3.7508 |
| 3.3537 | 3.0 | 12 | 3.5159 |
| 3.1336 | 4.0 | 16 | 3.2003 |
| 2.9481 | 5.0 | 20 | 2.8626 |
| 2.5179 | 6.0 | 24 | 2.5561 |
| 2.3247 | 7.0 | 28 | 2.2656 |
| 2.1071 | 8.0 | 32 | 1.9826 |
| 1.7406 | 9.0 | 36 | 1.6799 |
| 1.5765 | 10.0 | 40 | 1.3108 |
Framework versions
- PEFT 0.12.0
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for jeanbap166/whisper
Base model
openai/whisper-small