---
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: 1.2775
- Wer: 25.8817

## 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     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.8149        | 1.0   | 3491  | 0.8968          | 43.5550 |
| 0.5126        | 2.0   | 6982  | 0.8805          | 35.9730 |
| 0.3308        | 3.0   | 10473 | 0.9173          | 36.4008 |
| 0.2412        | 4.0   | 13964 | 0.9814          | 33.9519 |
| 0.1667        | 5.0   | 17455 | 1.0400          | 31.9450 |
| 0.1001        | 6.0   | 20946 | 1.0903          | 33.1316 |
| 0.079         | 7.0   | 24437 | 1.1191          | 33.2309 |
| 0.0751        | 8.0   | 27928 | 1.1580          | 29.3991 |
| 0.0515        | 9.0   | 31419 | 1.1723          | 29.8778 |
| 0.0395        | 10.0  | 34910 | 1.1876          | 29.4972 |
| 0.0313        | 11.0  | 38401 | 1.2305          | 28.8578 |
| 0.0129        | 12.0  | 41892 | 1.2344          | 27.5577 |
| 0.0207        | 13.0  | 45383 | 1.2527          | 29.9002 |
| 0.0169        | 14.0  | 48874 | 1.2498          | 27.3969 |
| 0.0055        | 15.0  | 52365 | 1.2604          | 27.4277 |
| 0.003         | 16.0  | 55856 | 1.2627          | 26.8923 |
| 0.0011        | 17.0  | 59347 | 1.2700          | 26.9135 |
| 0.0013        | 18.0  | 62838 | 1.2695          | 27.4785 |
| 0.0001        | 19.0  | 66329 | 1.2804          | 26.2836 |
| 0.0           | 20.0  | 69820 | 1.2775          | 25.8817 |


### Framework versions

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