README.md

---
base_model: Thienpkae/wav2vec2-large-xls-r-vi-colab
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 [Thienpkae/wav2vec2-large-xls-r-vi-colab](https://huggingface.co/Thienpkae/wav2vec2-large-xls-r-vi-colab) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8989
- Wer: 0.9376
- Cer: 0.3861

## 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: 330
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 3.533         | 7.5   | 165  | 3.3635          | 1.0    | 1.0    |
| 3.5135        | 15.0  | 330  | 3.3336          | 1.0    | 1.0    |
| 3.6414        | 22.5  | 495  | 3.0578          | 0.9995 | 0.8722 |
| 2.1098        | 30.0  | 660  | 1.8989          | 0.9376 | 0.3861 |


### Framework versions

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