---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: ''
  results: []
---

<!-- 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. -->

# 

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the common_voice dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4191
- Wer: 0.9357

## 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: 6.5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 10.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 2.2416        | 0.84  | 500  | 1.2867          | 0.8875 |
| 2.3089        | 1.67  | 1000 | 1.8336          | 0.9548 |
| 2.3614        | 2.51  | 1500 | 1.5937          | 0.9469 |
| 2.5234        | 3.35  | 2000 | 1.9765          | 0.9867 |
| 2.5373        | 4.19  | 2500 | 1.9062          | 0.9916 |
| 2.5703        | 5.03  | 3000 | 1.9772          | 0.9915 |
| 2.4656        | 5.86  | 3500 | 1.8083          | 0.9829 |
| 2.4339        | 6.7   | 4000 | 1.7548          | 0.9752 |
| 2.344         | 7.54  | 4500 | 1.6146          | 0.9638 |
| 2.2677        | 8.38  | 5000 | 1.5105          | 0.9499 |
| 2.2074        | 9.21  | 5500 | 1.4191          | 0.9357 |


### Framework versions

- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2.dev0
- Tokenizers 0.11.0