---
license: apache-2.0
tags:
- generated_from_trainer
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 None dataset.
It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 0.1834

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 4.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.9827        | 0.29  | 1000  | inf             | 0.2937 |
| 1.0203        | 0.57  | 2000  | inf             | 0.2711 |
| 1.0048        | 0.86  | 3000  | inf             | 0.2620 |
| 0.9858        | 1.15  | 4000  | inf             | 0.2522 |
| 0.9709        | 1.43  | 5000  | inf             | 0.2365 |
| 0.9347        | 1.72  | 6000  | inf             | 0.2332 |
| 0.9256        | 2.01  | 7000  | inf             | 0.2261 |
| 0.8936        | 2.29  | 8000  | inf             | 0.2203 |
| 0.877         | 2.58  | 9000  | inf             | 0.2096 |
| 0.8393        | 2.87  | 10000 | inf             | 0.2017 |
| 0.8156        | 3.15  | 11000 | inf             | 0.1936 |
| 0.8015        | 3.44  | 12000 | inf             | 0.1880 |
| 0.774         | 3.73  | 13000 | inf             | 0.1834 |


### Framework versions

- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.3.dev0
- Tokenizers 0.11.0