---
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: 0.8271
- Wer: 58.2317
- Cer: 46.8054

## 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     | Cer     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.5609        | 1.0   | 569   | 0.5509          | 95.7642 | 78.5963 |
| 0.4081        | 2.0   | 1138  | 0.5360          | 68.6290 | 56.1987 |
| 0.278         | 3.0   | 1707  | 0.5530          | 34.9844 | 29.3423 |
| 0.187         | 4.0   | 2276  | 0.5937          | 71.8946 | 56.4435 |
| 0.1106        | 5.0   | 2845  | 0.6325          | 41.3839 | 34.3220 |
| 0.0761        | 6.0   | 3414  | 0.6773          | 44.9131 | 38.3312 |
| 0.0398        | 7.0   | 3983  | 0.6962          | 95.0394 | 82.5127 |
| 0.0317        | 8.0   | 4552  | 0.7284          | 55.6288 | 46.0103 |
| 0.0187        | 9.0   | 5121  | 0.7376          | 55.4347 | 44.4601 |
| 0.0099        | 10.0  | 5690  | 0.7598          | 53.4066 | 42.1512 |
| 0.01          | 11.0  | 6259  | 0.7753          | 82.2222 | 67.2734 |
| 0.0032        | 12.0  | 6828  | 0.7852          | 65.0119 | 47.9815 |
| 0.0019        | 13.0  | 7397  | 0.7838          | 53.5530 | 40.5203 |
| 0.0037        | 14.0  | 7966  | 0.7975          | 50.7377 | 40.2000 |
| 0.0007        | 15.0  | 8535  | 0.8026          | 45.6233 | 36.3097 |
| 0.0013        | 16.0  | 9104  | 0.8134          | 56.5001 | 44.4010 |
| 0.0002        | 17.0  | 9673  | 0.8082          | 57.5654 | 46.8896 |
| 0.0002        | 18.0  | 10242 | 0.8203          | 62.1234 | 49.8199 |
| 0.0001        | 19.0  | 10811 | 0.8270          | 57.0346 | 46.1639 |
| 0.0001        | 20.0  | 11380 | 0.8271          | 58.2317 | 46.8054 |


### Framework versions

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