---
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 Hanhpt23/SilvarMed dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1782
- Wer: 6.0842

## 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    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.0747        | 1.0   | 2438  | 0.2071          | 8.9008 |
| 0.0385        | 2.0   | 4876  | 0.2154          | 9.5935 |
| 0.0434        | 3.0   | 7314  | 0.1894          | 4.9993 |
| 0.0175        | 4.0   | 9752  | 0.2119          | 5.9665 |
| 0.0226        | 5.0   | 12190 | 0.1965          | 4.6334 |
| 0.0089        | 6.0   | 14628 | 0.2144          | 5.1954 |
| 0.0195        | 7.0   | 17066 | 0.2112          | 4.9536 |
| 0.0053        | 8.0   | 19504 | 0.1983          | 5.7313 |
| 0.0053        | 9.0   | 21942 | 0.2062          | 6.8226 |
| 0.0034        | 10.0  | 24380 | 0.1960          | 6.1822 |
| 0.0107        | 11.0  | 26818 | 0.2028          | 5.8947 |
| 0.0001        | 12.0  | 29256 | 0.2012          | 5.9012 |
| 0.0015        | 13.0  | 31694 | 0.1876          | 4.6138 |
| 0.0           | 14.0  | 34132 | 0.1878          | 6.8096 |
| 0.0032        | 15.0  | 36570 | 0.1962          | 6.0515 |
| 0.0           | 16.0  | 39008 | 0.1846          | 5.9796 |
| 0.0001        | 17.0  | 41446 | 0.1835          | 4.5680 |
| 0.002         | 18.0  | 43884 | 0.1813          | 5.9273 |
| 0.0           | 19.0  | 46322 | 0.1778          | 6.1495 |
| 0.0           | 20.0  | 48760 | 0.1782          | 6.0842 |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 3.2.0
- Tokenizers 0.19.1