---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53-portuguese
tags:
- generated_from_trainer
datasets:
- common_voice_17_0
metrics:
- wer
model-index:
- name: xlsr53-ptbr-2
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: common_voice_17_0
      type: common_voice_17_0
      config: pt
      split: None
      args: pt
    metrics:
    - name: Wer
      type: wer
      value: 0.9949969678593087
---

<!-- 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. -->

# xlsr53-ptbr-2

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53-portuguese](https://huggingface.co/facebook/wav2vec2-large-xlsr-53-portuguese) on the common_voice_17_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 3.9879
- Wer: 0.9950

## 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-06
- train_batch_size: 8
- 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
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 12.583        | 1.0   | 1250  | 8.3731          | 0.9930 |
| 8.4082        | 2.0   | 2500  | 6.7542          | 0.9977 |
| 9.7515        | 3.0   | 3750  | 6.4559          | 1.0044 |
| 10.5866       | 4.0   | 5000  | 6.1102          | 1.0047 |
| 9.6095        | 5.0   | 6250  | 5.5412          | 1.0012 |
| 7.9527        | 6.0   | 7500  | 4.7235          | 0.9961 |
| 6.1536        | 7.0   | 8750  | 4.2559          | 0.9971 |
| 6.3449        | 8.0   | 10000 | 4.1116          | 0.9956 |
| 5.4191        | 9.0   | 11250 | 4.0244          | 0.9955 |
| 4.8775        | 10.0  | 12500 | 3.9879          | 0.9951 |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0