---
license: cc-by-nc-4.0
base_model: nguyenvulebinh/wav2vec2-base-vi
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-base-vi-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-vi-vivos

This model is a fine-tuned version of [nguyenvulebinh/wav2vec2-base-vi](https://huggingface.co/nguyenvulebinh/wav2vec2-base-vi) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3990
- Wer: 0.2339

## 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: 1e-05
- train_batch_size: 32
- 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

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 2.2335        | 1.37  | 500   | 1.9337          | 0.9589 |
| 2.0861        | 2.74  | 1000  | 1.6892          | 0.9078 |
| 1.8044        | 4.11  | 1500  | 1.3953          | 0.7989 |
| 1.5782        | 5.48  | 2000  | 1.1773          | 0.7221 |
| 1.3843        | 6.85  | 2500  | 1.0011          | 0.6243 |
| 1.2181        | 8.22  | 3000  | 0.8656          | 0.5361 |
| 1.1115        | 9.59  | 3500  | 0.7775          | 0.4933 |
| 0.9948        | 10.96 | 4000  | 0.6933          | 0.4286 |
| 0.9307        | 12.33 | 4500  | 0.6314          | 0.3959 |
| 0.8529        | 13.7  | 5000  | 0.5832          | 0.3560 |
| 0.8094        | 15.07 | 5500  | 0.5446          | 0.3292 |
| 0.7517        | 16.44 | 6000  | 0.5156          | 0.3064 |
| 0.701         | 17.81 | 6500  | 0.4899          | 0.2907 |
| 0.6753        | 19.18 | 7000  | 0.4668          | 0.2742 |
| 0.6621        | 20.55 | 7500  | 0.4528          | 0.2621 |
| 0.6455        | 21.92 | 8000  | 0.4345          | 0.2564 |
| 0.6159        | 23.29 | 8500  | 0.4258          | 0.2475 |
| 0.596         | 24.66 | 9000  | 0.4143          | 0.2435 |
| 0.5833        | 26.03 | 9500  | 0.4063          | 0.2387 |
| 0.5899        | 27.4  | 10000 | 0.4029          | 0.2357 |
| 0.5729        | 28.77 | 10500 | 0.3990          | 0.2339 |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3