---
language:
- pt
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small Portuguese
  results:
  - task:
      name: Automatic Speech Recognition
      type: 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:
    - name: Wer
      type: wer
      value: 14.884437596302003
---

<!-- 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 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 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3191
- Wer: 14.8844
- Cer: 5.7447

## 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: 5e-06
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- training_steps: 10000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|
| 2.9379        | 0.92  | 500  | 0.4783          | 17.3806 | 7.0572 |
| 2.1727        | 1.84  | 1000 | 0.3721          | 17.2727 | 6.7975 |
| 1.7856        | 2.76  | 1500 | 0.3466          | 16.3790 | 6.4023 |
| 1.7803        | 3.68  | 2000 | 0.3372          | 15.9014 | 6.2089 |
| 1.8312        | 4.6   | 2500 | 0.3303          | 15.7473 | 6.0901 |
| 1.6403        | 5.52  | 3000 | 0.3256          | 15.9476 | 6.1896 |
| 1.536         | 6.45  | 3500 | 0.3235          | 15.5008 | 6.0928 |
| 1.4223        | 7.37  | 4000 | 0.3209          | 15.3621 | 6.0735 |
| 1.4652        | 8.29  | 4500 | 0.3209          | 15.2696 | 5.9326 |
| 1.2572        | 9.21  | 5000 | 0.3191          | 14.8844 | 5.7447 |
| 1.7142        | 10.13 | 5500 | 0.3182          | 15.0077 | 5.8469 |
| 1.4195        | 11.05 | 6000 | 0.3171          | 15.0693 | 5.8856 |
| 1.3965        | 11.97 | 6500 | 0.3167          | 15.0539 | 5.8580 |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.12.1+cu116
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2