transformers pytorch whisper automatic-speech-recognition whisper-event generated_from_trainer es dataset:mozilla-foundation/common_voice_13_0 base_model:openai/whisper-small license:apache-2.0 model-index endpoints_compatible region:us
---
language:
- es
license: apache-2.0
base_model: openai/whisper-small
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_13_0
metrics:
- wer
model-index:
- name: Whisper Small Spanish
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: mozilla-foundation/common_voice_13_0 es
      type: mozilla-foundation/common_voice_13_0
      config: es
      split: test
      args: es
    metrics:
    - name: Wer
      type: wer
      value: 8.266774443952604
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper Small Spanish

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_13_0 es dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2212
- Wer: 8.2668

## 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: 64
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.132         | 2.0   | 1000 | 0.2461          | 9.5267 |
| 0.1288        | 4.01  | 2000 | 0.2251          | 8.5215 |
| 0.0814        | 6.01  | 3000 | 0.2212          | 8.2668 |
| 0.0905        | 8.01  | 4000 | 0.2310          | 8.4997 |
| 0.0319        | 10.02 | 5000 | 0.2358          | 8.5343 |


### Framework versions

- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
