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whisper-small-es-pr
rcastrovexler/whisper-small-es-pr
whisper-small-es-pr is a automatic speech recognition model from rcastrovexler. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Nov 17, 2025
- Updated
- Nov 17, 2025
- SHA
- e1d1166f
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
Whisper Small ES-PR - Roberto Castro-Vexler
This model is a fine-tuned version of openai/whisper-small on the OpenSLR Puerto Rican Spanish dataset. It achieves the following results on the evaluation set:
- Loss: 0.1820
- Wer: 6.1053
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: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0001 | 37.0370 | 1000 | 0.1530 | 5.8947 |
| 0.0001 | 74.0741 | 2000 | 0.1689 | 6.1053 |
| 0.0 | 111.1111 | 3000 | 0.1783 | 6.0526 |
| 0.0 | 148.1481 | 4000 | 0.1820 | 6.1053 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.8.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.4
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- es
- Created
- Nov 17, 2025
- Updated
- Nov 17, 2025