---
language:
- vi
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: openai/whisper-small
  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. -->

# openai/whisper-small

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the pphuc25/VietMed-split-8-2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9118
- Wer: 21.7024

## 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: 0.0001
- train_batch_size: 8
- 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: 100
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.6339        | 1.0   | 569   | 0.6214          | 27.8675 |
| 0.4322        | 2.0   | 1138  | 0.5860          | 25.1949 |
| 0.2846        | 3.0   | 1707  | 0.6092          | 24.0564 |
| 0.1624        | 4.0   | 2276  | 0.6697          | 24.2614 |
| 0.0915        | 5.0   | 2845  | 0.7291          | 25.9162 |
| 0.0642        | 6.0   | 3414  | 0.7756          | 24.7739 |
| 0.0382        | 7.0   | 3983  | 0.8095          | 24.1955 |
| 0.0355        | 8.0   | 4552  | 0.8362          | 24.2541 |
| 0.0314        | 9.0   | 5121  | 0.8388          | 23.9063 |
| 0.0174        | 10.0  | 5690  | 0.8719          | 22.9251 |
| 0.0107        | 11.0  | 6259  | 0.8740          | 23.0899 |
| 0.0109        | 12.0  | 6828  | 0.8811          | 22.8226 |
| 0.0036        | 13.0  | 7397  | 0.8770          | 22.5700 |
| 0.0037        | 14.0  | 7966  | 0.8888          | 22.4382 |
| 0.002         | 15.0  | 8535  | 0.8917          | 22.3467 |
| 0.0001        | 16.0  | 9104  | 0.9047          | 22.0099 |
| 0.0004        | 17.0  | 9673  | 0.8960          | 21.9660 |
| 0.0009        | 18.0  | 10242 | 0.9079          | 21.6914 |
| 0.0001        | 19.0  | 10811 | 0.9108          | 21.6658 |
| 0.0           | 20.0  | 11380 | 0.9118          | 21.7024 |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1