---
library_name: transformers
language:
- es
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
datasets:
- deepdml/voxforge
- fixie-ai/common_voice_17_0
- google/fleurs
- deepdml/basque_parliament_1
- facebook/multilingual_librispeech
- facebook/voxpopuli
metrics:
- wer
model-index:
- name: Whisper Tiny es
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common Voice 17.0
      type: deepdml/voxforge
    metrics:
    - name: Wer
      type: wer
      value: 21.674748489027575
---
<!-- 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 Tiny es

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 17.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3749
- Wer Raw: 21.6741
- Cer Raw: 8.4585
- Wer: 21.6747
- Cer: 8.4585

## 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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Use 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_ratio: 0.04
- training_steps: 20000

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Wer Raw | Cer Raw | Wer     | Cer     |
|:-------------:|:------:|:-----:|:---------------:|:-------:|:-------:|:-------:|:-------:|
| 0.3891        | 0.05   | 1000  | 0.6939          | 37.6291 | 14.8103 | 37.4810 | 14.7830 |
| 0.6597        | 0.1    | 2000  | 0.6883          | 34.8302 | 14.4460 | 34.8016 | 14.4405 |
| 0.1388        | 0.15   | 3000  | 0.6530          | 34.3358 | 13.1348 | 34.2976 | 13.1269 |
| 0.1217        | 0.2    | 4000  | 0.6682          | 34.5982 | 13.2295 | 34.5646 | 13.2233 |
| 0.1101        | 0.25   | 5000  | 0.6721          | 35.2325 | 13.7696 | 35.1969 | 13.7628 |
| 0.3564        | 0.3    | 6000  | 0.5374          | 28.6885 | 11.2075 | 28.6529 | 11.2010 |
| 0.3803        | 0.35   | 7000  | 0.3890          | 20.9394 | 7.6348  | 20.9369 | 7.6342  |
| 0.3373        | 0.4    | 8000  | 0.3540          | 19.9264 | 7.3914  | 19.9258 | 7.3913  |
| 0.2828        | 1.0134 | 9000  | 0.3343          | 18.6452 | 6.8455  | 18.6452 | 6.8455  |
| 0.2743        | 1.0634 | 10000 | 0.3218          | 17.8476 | 6.5983  | 17.8476 | 6.5983  |
| 0.2747        | 1.1134 | 11000 | 0.3123          | 17.2210 | 6.3677  | 17.2210 | 6.3677  |
| 0.116         | 1.1634 | 12000 | 0.3392          | 19.6398 | 7.3330  | 19.6398 | 7.3330  |
| 0.1081        | 1.2134 | 13000 | 0.3717          | 22.2626 | 8.5878  | 22.2626 | 8.5878  |
| 0.0918        | 1.2634 | 14000 | 0.3865          | 22.8498 | 8.6366  | 22.8498 | 8.6366  |
| 0.0908        | 1.3134 | 15000 | 0.3957          | 23.3710 | 8.8869  | 23.3710 | 8.8869  |
| 0.493         | 1.3634 | 16000 | 0.4018          | 22.0878 | 8.2129  | 22.0878 | 8.2129  |
| 0.4284        | 1.4134 | 17000 | 0.3943          | 22.6592 | 8.8754  | 22.6592 | 8.8754  |
| 0.3042        | 2.0268 | 18000 | 0.3967          | 22.3014 | 8.5581  | 22.3014 | 8.5581  |
| 0.2942        | 2.0768 | 19000 | 0.3946          | 22.5136 | 8.8319  | 22.5136 | 8.8319  |
| 0.1001        | 2.1268 | 20000 | 0.3749          | 21.6741 | 8.4585  | 21.6747 | 8.4585  |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.0

## Citation

Please cite the model using the following BibTeX entry:

```bibtex
@misc{deepdml/whisper-tiny-es-mix-norm,
      title={Fine-tuned Whisper tiny ASR model for speech recognition in Spanish},
      author={Jimenez, David},
      howpublished={\url{https://huggingface.co/deepdml/whisper-tiny-es-mix-norm}},
      year={2026}
    }
```