---
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/MultiMed dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2205
- Wer: 20.9109
- Cer: 14.5195

## 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     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.6311        | 1.0   | 4626  | 0.7523          | 29.1582 | 21.4782 |
| 0.4966        | 2.0   | 9252  | 0.7386          | 30.4497 | 22.0004 |
| 0.2482        | 3.0   | 13878 | 0.7919          | 24.2525 | 17.3460 |
| 0.1989        | 4.0   | 18504 | 0.8427          | 25.2392 | 17.5838 |
| 0.1419        | 5.0   | 23130 | 0.9057          | 23.5514 | 16.6085 |
| 0.0828        | 6.0   | 27756 | 0.9730          | 22.8122 | 15.8105 |
| 0.0609        | 7.0   | 32382 | 1.0176          | 22.9715 | 16.0236 |
| 0.0452        | 8.0   | 37008 | 1.0531          | 23.1268 | 16.1591 |
| 0.0354        | 9.0   | 41634 | 1.1008          | 23.0799 | 16.0754 |
| 0.0228        | 10.0  | 46260 | 1.1070          | 22.0164 | 15.3787 |
| 0.02          | 11.0  | 50886 | 1.1342          | 22.4321 | 15.5082 |
| 0.0126        | 12.0  | 55512 | 1.1520          | 22.0949 | 15.3324 |
| 0.0062        | 13.0  | 60138 | 1.1820          | 22.0076 | 15.3419 |
| 0.0045        | 14.0  | 64764 | 1.1860          | 21.7019 | 15.1221 |
| 0.0025        | 15.0  | 69390 | 1.2004          | 21.2894 | 14.7874 |
| 0.0058        | 16.0  | 74016 | 1.1949          | 21.6711 | 15.1412 |
| 0.0005        | 17.0  | 78642 | 1.1967          | 21.4148 | 14.8903 |
| 0.0001        | 18.0  | 83268 | 1.2102          | 21.1438 | 14.6915 |
| 0.0001        | 19.0  | 87894 | 1.2192          | 21.0654 | 14.6546 |
| 0.0001        | 20.0  | 92520 | 1.2205          | 20.9109 | 14.5195 |


### Framework versions

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