---
base_model: vinai/PhoWhisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small2-vi
  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-small2-vi

This model is a fine-tuned version of [vinai/PhoWhisper-small](https://huggingface.co/vinai/PhoWhisper-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2336
- Wer: 7.8066

## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.3058        | 1.6   | 1000 | 0.3433          | 28.2955 |
| 0.1055        | 3.2   | 2000 | 0.3438          | 10.0351 |
| 0.0521        | 4.8   | 3000 | 0.2550          | 7.4959  |
| 0.0073        | 6.4   | 4000 | 0.2338          | 7.8336  |
| 0.0032        | 8.0   | 5000 | 0.2336          | 7.8066  |


### Framework versions

- Transformers 4.44.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1