---
base_model: openai/whisper-small
datasets:
- ademax/vivos-vie-speech2text
language:
- hi
license: apache-2.0
metrics:
- wer
tags:
- generated_from_trainer
model-index:
- name: Whisper Small Vie - VIVOS
  results:
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: VIVOS Vietnamese Speech to Text
      type: ademax/vivos-vie-speech2text
      args: 'config: hi, split: test'
    metrics:
    - type: wer
      value: 14.529509362408152
      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 Vie - VIVOS

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the VIVOS Vietnamese Speech to Text dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2750
- Wer: 14.5295

## 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: 4
- eval_batch_size: 4
- 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.1775        | 0.3503 | 1000 | 0.3448          | 18.3693 |
| 0.2924        | 0.7005 | 2000 | 0.3088          | 17.1921 |
| 0.1059        | 1.0508 | 3000 | 0.2896          | 15.4776 |
| 0.1182        | 1.4011 | 4000 | 0.2889          | 15.5408 |
| 0.1089        | 1.7513 | 5000 | 0.2750          | 14.5295 |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.2.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1