---
language:
- en
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/EngMed dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1935
- Wer: 27.2679

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.5346        | 1.0   | 323  | 0.6308          | 30.4852 |
| 0.2978        | 2.0   | 646  | 0.7524          | 25.0527 |
| 0.1478        | 3.0   | 969  | 0.7934          | 29.2194 |
| 0.1208        | 4.0   | 1292 | 0.8305          | 34.0190 |
| 0.0667        | 5.0   | 1615 | 0.8781          | 22.2046 |
| 0.0562        | 6.0   | 1938 | 1.0234          | 27.0042 |
| 0.0519        | 7.0   | 2261 | 0.9954          | 17.1941 |
| 0.0311        | 8.0   | 2584 | 1.0153          | 35.2321 |
| 0.0183        | 9.0   | 2907 | 1.1135          | 48.5759 |
| 0.015         | 10.0  | 3230 | 1.1428          | 35.6540 |
| 0.0099        | 11.0  | 3553 | 1.1355          | 39.3987 |
| 0.0054        | 12.0  | 3876 | 1.1408          | 27.3207 |
| 0.0037        | 13.0  | 4199 | 1.1651          | 28.6920 |
| 0.0024        | 14.0  | 4522 | 1.1648          | 40.2954 |
| 0.0004        | 15.0  | 4845 | 1.1480          | 44.0401 |
| 0.0004        | 16.0  | 5168 | 1.1564          | 23.1540 |
| 0.0003        | 17.0  | 5491 | 1.1754          | 28.2173 |
| 0.0007        | 18.0  | 5814 | 1.1884          | 26.0021 |
| 0.0001        | 19.0  | 6137 | 1.1925          | 27.9536 |
| 0.0001        | 20.0  | 6460 | 1.1935          | 27.2679 |


### Framework versions

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