Whisper tiny Spanish
This model is a fine-tuned version of openai/whisper-tiny on the Spanish English dataset. It achieves the following results on the evaluation set:
- Loss: 0.2463
- Wer: 11.3682
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 |
|---|---|---|---|---|
| 0.4150 | 0.5 | 514 | 0.2936 | 13.4577 |
| 0.3072 | 1.0 | 1028 | 0.2622 | 12.1393 |
| 0.1067 | 1.5 | 1542 | 0.2512 | 11.5423 |
| 0.1668 | 2.0 | 2056 | 0.2463 | 11.3682 |
Framework versions
- Transformers 5.22.0.dev0
- Pytorch 2.11.0+cu130
- Datasets 5.1.0
- Tokenizers 0.23.3