---
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: 0.0002
- Wer: 18.0420
- Cer: 13.7394

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.7947        | 1.0   | 386  | 0.3297          | 31.2590 | 24.7156 |
| 0.4419        | 2.0   | 772  | 0.1631          | 46.7252 | 46.6811 |
| 0.2375        | 3.0   | 1158 | 0.1046          | 36.4448 | 33.2804 |
| 0.1131        | 4.0   | 1544 | 0.0643          | 35.7395 | 32.0761 |
| 0.0974        | 5.0   | 1930 | 0.0458          | 32.6501 | 28.0269 |
| 0.0582        | 6.0   | 2316 | 0.0345          | 32.8258 | 26.8794 |
| 0.049         | 7.0   | 2702 | 0.0251          | 30.1177 | 25.6116 |
| 0.0551        | 8.0   | 3088 | 0.0171          | 26.8918 | 22.6404 |
| 0.0219        | 9.0   | 3474 | 0.0133          | 24.6637 | 19.5561 |
| 0.0183        | 10.0  | 3860 | 0.0092          | 21.5865 | 16.2971 |
| 0.0097        | 11.0  | 4246 | 0.0066          | 27.2316 | 23.4164 |
| 0.0122        | 12.0  | 4632 | 0.0044          | 18.0929 | 14.6218 |
| 0.0049        | 13.0  | 5018 | 0.0019          | 19.5776 | 16.1094 |
| 0.0034        | 14.0  | 5404 | 0.0011          | 17.0281 | 13.6385 |
| 0.001         | 15.0  | 5790 | 0.0006          | 17.5356 | 13.4349 |
| 0.0031        | 16.0  | 6176 | 0.0004          | 18.5909 | 13.6354 |
| 0.0006        | 17.0  | 6562 | 0.0003          | 16.7808 | 12.7811 |
| 0.0002        | 18.0  | 6948 | 0.0002          | 18.2195 | 13.7038 |
| 0.0006        | 19.0  | 7334 | 0.0002          | 18.3330 | 13.9521 |
| 0.0001        | 20.0  | 7720 | 0.0002          | 18.0420 | 13.7394 |


### Framework versions

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