---
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-base-vivos
  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. -->

# wav2vec2-base-vivos

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5366
- Wer: 0.3320

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 7.987         | 0.66  | 500   | 3.5460          | 1.0    |
| 3.4026        | 1.31  | 1000  | 3.0685          | 1.0    |
| 1.6402        | 1.97  | 1500  | 0.7959          | 0.7082 |
| 0.8229        | 2.62  | 2000  | 0.5581          | 0.5326 |
| 0.6392        | 3.28  | 2500  | 0.4779          | 0.4738 |
| 0.5532        | 3.94  | 3000  | 0.4415          | 0.4491 |
| 0.4937        | 4.59  | 3500  | 0.4318          | 0.4312 |
| 0.4506        | 5.25  | 4000  | 0.4284          | 0.4134 |
| 0.4099        | 5.91  | 4500  | 0.4405          | 0.4267 |
| 0.3848        | 6.56  | 5000  | 0.4097          | 0.3987 |
| 0.3683        | 7.22  | 5500  | 0.4239          | 0.4031 |
| 0.3485        | 7.87  | 6000  | 0.4383          | 0.3926 |
| 0.3313        | 8.53  | 6500  | 0.4779          | 0.3846 |
| 0.321         | 9.19  | 7000  | 0.4623          | 0.3895 |
| 0.3058        | 9.84  | 7500  | 0.4668          | 0.3906 |
| 0.2869        | 10.5  | 8000  | 0.4817          | 0.3749 |
| 0.2828        | 11.15 | 8500  | 0.4777          | 0.3789 |
| 0.2724        | 11.81 | 9000  | 0.4915          | 0.3649 |
| 0.2527        | 12.47 | 9500  | 0.4671          | 0.3670 |
| 0.2588        | 13.12 | 10000 | 0.4693          | 0.3612 |
| 0.2405        | 13.78 | 10500 | 0.4375          | 0.3579 |
| 0.2409        | 14.44 | 11000 | 0.4643          | 0.3595 |
| 0.2247        | 15.09 | 11500 | 0.5445          | 0.3626 |
| 0.2257        | 15.75 | 12000 | 0.4474          | 0.3513 |
| 0.2101        | 16.4  | 12500 | 0.4327          | 0.3502 |
| 0.2118        | 17.06 | 13000 | 0.4830          | 0.3534 |
| 0.1991        | 17.72 | 13500 | 0.4832          | 0.3454 |
| 0.193         | 18.37 | 14000 | 0.4878          | 0.3547 |
| 0.1909        | 19.03 | 14500 | 0.4777          | 0.3506 |
| 0.1869        | 19.69 | 15000 | 0.4722          | 0.3455 |
| 0.1801        | 20.34 | 15500 | 0.4891          | 0.3477 |
| 0.1749        | 21.0  | 16000 | 0.5065          | 0.3446 |
| 0.1715        | 21.65 | 16500 | 0.5381          | 0.3447 |
| 0.1669        | 22.31 | 17000 | 0.4946          | 0.3459 |
| 0.1674        | 22.97 | 17500 | 0.4968          | 0.3425 |
| 0.1579        | 23.62 | 18000 | 0.5210          | 0.3370 |
| 0.1566        | 24.28 | 18500 | 0.5318          | 0.3385 |
| 0.1565        | 24.93 | 19000 | 0.4959          | 0.3381 |
| 0.1517        | 25.59 | 19500 | 0.5181          | 0.3393 |
| 0.1452        | 26.25 | 20000 | 0.5222          | 0.3359 |
| 0.1419        | 26.9  | 20500 | 0.5316          | 0.3333 |
| 0.1389        | 27.56 | 21000 | 0.5094          | 0.3302 |
| 0.1422        | 28.22 | 21500 | 0.5327          | 0.3346 |
| 0.1365        | 28.87 | 22000 | 0.5436          | 0.3320 |
| 0.1337        | 29.53 | 22500 | 0.5366          | 0.3320 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2