---
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-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3086
- Wer: 0.2676

## 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: 7.5e-05
- 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: 1500
- num_epochs: 60.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 5.175         | 2.41  | 400  | 4.6909          | 1.0    |
| 3.3785        | 4.82  | 800  | 3.3080          | 1.0    |
| 2.6964        | 7.23  | 1200 | 2.0651          | 1.1055 |
| 1.3008        | 9.64  | 1600 | 0.5845          | 0.6207 |
| 1.1185        | 12.05 | 2000 | 0.4195          | 0.4193 |
| 1.0252        | 14.46 | 2400 | 0.3824          | 0.3570 |
| 0.935         | 16.87 | 2800 | 0.3693          | 0.3462 |
| 0.8818        | 19.28 | 3200 | 0.3587          | 0.3318 |
| 0.8534        | 21.69 | 3600 | 0.3420          | 0.3180 |
| 0.8137        | 24.1  | 4000 | 0.3426          | 0.3130 |
| 0.7968        | 26.51 | 4400 | 0.3349          | 0.3102 |
| 0.7558        | 28.92 | 4800 | 0.3216          | 0.3019 |
| 0.7313        | 31.33 | 5200 | 0.3451          | 0.3060 |
| 0.7358        | 33.73 | 5600 | 0.3272          | 0.2967 |
| 0.718         | 36.14 | 6000 | 0.3315          | 0.2882 |
| 0.6991        | 38.55 | 6400 | 0.3299          | 0.2830 |
| 0.6529        | 40.96 | 6800 | 0.3140          | 0.2836 |
| 0.6225        | 43.37 | 7200 | 0.3128          | 0.2751 |
| 0.633         | 45.78 | 7600 | 0.3211          | 0.2774 |
| 0.5876        | 48.19 | 8000 | 0.3162          | 0.2764 |
| 0.588         | 50.6  | 8400 | 0.3082          | 0.2722 |
| 0.5915        | 53.01 | 8800 | 0.3120          | 0.2681 |
| 0.5798        | 55.42 | 9200 | 0.3133          | 0.2709 |
| 0.5736        | 57.83 | 9600 | 0.3086          | 0.2676 |


### Framework versions

- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.4.dev0
- Tokenizers 0.11.0