Whisper tiny Spanish
This model is a fine-tuned version of openai/whisper-tiny on the American English dataset. It achieves the following results on the evaluation set:
- Loss: 0.1909
- Wer: 7.3263
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: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.25
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3184 | 0.5 | 529 | 0.2327 | 8.1021 |
| 0.2214 | 1.0 | 1058 | 0.2133 | 7.9297 |
| 0.2614 | 1.5 | 1587 | 0.1967 | 7.4815 |
| 0.0858 | 2.0 | 2116 | 0.1909 | 7.3263 |
Framework versions
- Transformers 5.22.0.dev0
- Pytorch 2.11.0+cu130
- Datasets 5.1.0
- Tokenizers 0.23.3