---
language:
- vi
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: openai/whisper-small
datasets:
- stevehoang9/vietnamese_ASR
metrics:
- wer
model-index:
- name: Whisper Small Vietnam - Steve Hoang
  results:
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: VIVOS
      type: stevehoang9/vietnamese_ASR
    metrics:
    - type: wer
      value: 51.68350168350169
      name: Wer
---

<!-- 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 Small Vietnam - Steve Hoang

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the VIVOS dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6333
- Wer: 51.6835

## 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: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.931         | 1.3717 | 1000 | 0.9599          | 74.7216 |
| 0.7286        | 2.7435 | 2000 | 0.7709          | 61.5255 |
| 0.6341        | 4.1152 | 3000 | 0.6854          | 55.5685 |
| 0.6044        | 5.4870 | 4000 | 0.6458          | 52.8490 |
| 0.6031        | 6.8587 | 5000 | 0.6333          | 51.6835 |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1