Whisper Small Spanish - gonznm
This model is a fine-tuned version of openai/whisper-small on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2240
- Wer: 13.4804
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 |
|---|---|---|---|---|
| 0.2693 | 0.0454 | 1000 | 0.2640 | 16.0419 |
| 0.2345 | 0.0907 | 2000 | 0.2450 | 14.6287 |
| 0.2419 | 0.1361 | 3000 | 0.2318 | 14.1723 |
| 0.2184 | 0.1815 | 4000 | 0.2240 | 13.4804 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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Base model
openai/whisper-small