---
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: 0.9074
- Wer: 21.2813
- Cer: 17.6054

## 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     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.631         | 1.0   | 569   | 0.6148          | 26.4031 | 20.9932 |
| 0.4198        | 2.0   | 1138  | 0.5805          | 24.4042 | 19.7276 |
| 0.2593        | 3.0   | 1707  | 0.6228          | 24.8545 | 20.0158 |
| 0.1615        | 4.0   | 2276  | 0.6910          | 24.0161 | 19.3631 |
| 0.086         | 5.0   | 2845  | 0.7390          | 24.2065 | 19.7389 |
| 0.0612        | 6.0   | 3414  | 0.7867          | 24.3053 | 19.6096 |
| 0.0467        | 7.0   | 3983  | 0.8099          | 23.6280 | 19.0827 |
| 0.0366        | 8.0   | 4552  | 0.8577          | 23.9868 | 19.4967 |
| 0.0245        | 9.0   | 5121  | 0.8748          | 23.6280 | 19.3119 |
| 0.0166        | 10.0  | 5690  | 0.8653          | 23.1558 | 18.9742 |
| 0.011         | 11.0  | 6259  | 0.8834          | 23.7452 | 19.4160 |
| 0.0139        | 12.0  | 6828  | 0.8843          | 23.3571 | 19.2424 |
| 0.0038        | 13.0  | 7397  | 0.8823          | 22.1600 | 18.0194 |
| 0.0097        | 14.0  | 7966  | 0.8805          | 22.5334 | 18.3371 |
| 0.0022        | 15.0  | 8535  | 0.8891          | 21.7573 | 17.8753 |
| 0.0017        | 16.0  | 9104  | 0.8898          | 21.8854 | 18.0116 |
| 0.0002        | 17.0  | 9673  | 0.8969          | 21.5047 | 17.7807 |
| 0.0016        | 18.0  | 10242 | 0.9140          | 21.3033 | 17.5880 |
| 0.0001        | 19.0  | 10811 | 0.9044          | 21.3070 | 17.6054 |
| 0.0001        | 20.0  | 11380 | 0.9074          | 21.2813 | 17.6054 |


### Framework versions

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