---
license: apache-2.0
base_model: duytran3112/whisper-sm-vivos
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-vietnamese-3
  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. -->

# whisper-vietnamese-3

This model is a fine-tuned version of [duytran3112/whisper-sm-vivos](https://huggingface.co/duytran3112/whisper-sm-vivos) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6164
- Wer: 104.1257
- Cer: 100.8264

## 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: 16
- 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
- training_steps: 4000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      | Cer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| 0.0204        | 7.19  | 1000 | 0.4900          | 123.6149 | 105.0861 |
| 0.0022        | 14.39 | 2000 | 0.5671          | 111.9607 | 104.7015 |
| 0.0009        | 21.58 | 3000 | 0.6017          | 109.1316 | 101.5308 |
| 0.0006        | 28.78 | 4000 | 0.6164          | 104.1257 | 100.8264 |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.0
- Datasets 2.14.4
- Tokenizers 0.13.3