---
language:
- pt
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
base_model: openai/whisper-small
model-index:
- name: Whisper Small Portuguese
  results:
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: mozilla-foundation/common_voice_11_0 pt
      type: mozilla-foundation/common_voice_11_0
      config: pt
      split: test
      args: pt
    metrics:
    - type: wer
      value: 10.245288411425497
      name: Wer
---


# Whisper Small Portuguese 🇧🇷🇵🇹

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the [mozilla-foundation/common_voice_11_0 pt](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0/viewer/pt) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3887
- Wer: 10.2453

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0492        | 3.04  | 1000 | 0.2459          | 10.3562 |
| 0.0065        | 7.02  | 2000 | 0.3180          | 10.4521 |
| 0.002         | 11.0  | 3000 | 0.3571          | 10.2924 |
| 0.0009        | 14.04 | 4000 | 0.3816          | 10.2268 |
| 0.0008        | 18.02 | 5000 | 0.3887          | 10.2453 |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2