Whisper Small Canario - Johnatan E. Bonilla
This model is a fine-tuned version of openai/whisper-small on the COSER Canario 1.0 dataset. It achieves the following results on the evaluation set:
- Loss: 1.2760
- Wer: 86.4808
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: 1e-05
- train_batch_size: 16
- 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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3041 | 3.95 | 1000 | 0.8140 | 104.0241 |
| 0.0471 | 7.91 | 2000 | 1.0680 | 109.6910 |
| 0.0238 | 11.86 | 3000 | 1.2071 | 92.1929 |
| 0.013 | 15.81 | 4000 | 1.2760 | 86.4808 |
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.0
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openai/whisper-small