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

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: 0.5065
- Wer: 143.8155
- Cer: 157.5871

## 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      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| 0.0953        | 3.07  | 1000 | 0.4070          | 131.4363 | 111.3538 |
| 0.0089        | 6.13  | 2000 | 0.4713          | 159.9544 | 148.2014 |
| 0.003         | 9.2   | 3000 | 0.4932          | 139.2248 | 152.0525 |
| 0.0015        | 12.27 | 4000 | 0.5065          | 143.8155 | 157.5871 |


### Framework versions

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