---
base_model: facebook/wav2vec2-base
license: apache-2.0
metrics:
- wer
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-large-xls-r-vi-colab
  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-large-xls-r-vi-colab

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.5540
- Wer: 1.0
- Cer: 1.0

## 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: 500
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer | Cer |
|:-------------:|:-------:|:----:|:---------------:|:---:|:---:|
| 9.6481        | 2.3864  | 315  | 4.4676          | 1.0 | 1.0 |
| 3.8703        | 4.7727  | 630  | 4.4033          | 1.0 | 1.0 |
| 3.4149        | 7.1591  | 945  | 4.7546          | 1.0 | 1.0 |
| 3.4323        | 9.5455  | 1260 | 4.2532          | 1.0 | 1.0 |
| 3.4127        | 11.9318 | 1575 | 4.6692          | 1.0 | 1.0 |
| 3.4185        | 14.3182 | 1890 | 4.3411          | 1.0 | 1.0 |
| 3.4112        | 16.7045 | 2205 | 4.5614          | 1.0 | 1.0 |
| 3.4074        | 19.0909 | 2520 | 4.3545          | 1.0 | 1.0 |
| 3.4073        | 21.4773 | 2835 | 4.4929          | 1.0 | 1.0 |
| 3.4004        | 23.8636 | 3150 | 4.6089          | 1.0 | 1.0 |
| 3.4099        | 26.25   | 3465 | 4.5189          | 1.0 | 1.0 |
| 3.3972        | 28.6364 | 3780 | 4.5540          | 1.0 | 1.0 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1