---
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: 16.9843
- Cer: 13.2128

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.7745        | 1.0   | 386  | 0.3281          | 23.8481 | 18.9940 |
| 0.4222        | 2.0   | 772  | 0.1559          | 34.1276 | 31.2181 |
| 0.2229        | 3.0   | 1158 | 0.0890          | 41.8389 | 41.5395 |
| 0.0959        | 4.0   | 1544 | 0.0530          | 43.5633 | 41.1019 |
| 0.0783        | 5.0   | 1930 | 0.0374          | 35.9313 | 35.5561 |
| 0.0491        | 6.0   | 2316 | 0.0241          | 31.5489 | 24.3995 |
| 0.0384        | 7.0   | 2702 | 0.0182          | 26.3650 | 22.6028 |
| 0.0454        | 8.0   | 3088 | 0.0122          | 25.1452 | 20.9192 |
| 0.0153        | 9.0   | 3474 | 0.0076          | 21.1914 | 17.8663 |
| 0.013         | 10.0  | 3860 | 0.0059          | 20.7264 | 16.9106 |
| 0.0049        | 11.0  | 4246 | 0.0035          | 18.8548 | 14.8285 |
| 0.0028        | 12.0  | 4632 | 0.0026          | 16.8447 | 12.9932 |
| 0.0045        | 13.0  | 5018 | 0.0017          | 20.3620 | 16.0350 |
| 0.0015        | 14.0  | 5404 | 0.0010          | 18.4088 | 13.8127 |
| 0.0021        | 15.0  | 5790 | 0.0006          | 16.3526 | 13.1850 |
| 0.0042        | 16.0  | 6176 | 0.0004          | 16.0627 | 12.6793 |
| 0.0009        | 17.0  | 6562 | 0.0003          | 16.4933 | 13.0223 |
| 0.0003        | 18.0  | 6948 | 0.0002          | 16.9122 | 12.9176 |
| 0.0006        | 19.0  | 7334 | 0.0002          | 16.8802 | 13.1395 |
| 0.0001        | 20.0  | 7720 | 0.0002          | 16.9843 | 13.2128 |


### Framework versions

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