Whisper Small Argentina
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: 0.3638
- Wer: 14.7368
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: Use OptimizerNames.ADAMW_TORCH 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: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1177 | 1.4577 | 1000 | 0.2907 | 23.6316 |
| 0.0478 | 2.9155 | 2000 | 0.2912 | 15.5789 |
| 0.0075 | 4.3732 | 3000 | 0.3334 | 20.3158 |
| 0.0031 | 5.8309 | 4000 | 0.3531 | 15.8421 |
| 0.0017 | 7.2886 | 5000 | 0.3638 | 14.7368 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Downloads last month
- 32
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for facuvillegas/whisper-small-arg-riopl
Base model
openai/whisper-small