---
language:
- de
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/GermanMed-full dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6502
- Wer: 22.8325
- Cer: 15.2331

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.4898        | 1.0   | 194  | 0.4951          | 31.3586 | 21.1891 |
| 0.2315        | 2.0   | 388  | 0.4999          | 33.0968 | 22.6097 |
| 0.1009        | 3.0   | 582  | 0.5097          | 29.4456 | 19.8430 |
| 0.0558        | 4.0   | 776  | 0.5487          | 27.8412 | 19.0253 |
| 0.0379        | 5.0   | 970  | 0.5783          | 28.7566 | 19.9297 |
| 0.0232        | 6.0   | 1164 | 0.5849          | 24.9203 | 16.3505 |
| 0.0136        | 7.0   | 1358 | 0.5879          | 27.7486 | 19.3562 |
| 0.0143        | 8.0   | 1552 | 0.6237          | 25.2700 | 17.6567 |
| 0.0036        | 9.0   | 1746 | 0.6323          | 26.4939 | 18.1002 |
| 0.0035        | 10.0  | 1940 | 0.6338          | 26.5762 | 18.5022 |
| 0.0045        | 11.0  | 2134 | 0.6337          | 23.3364 | 15.9694 |
| 0.0041        | 12.0  | 2328 | 0.6363          | 23.6655 | 16.0144 |
| 0.0004        | 13.0  | 2522 | 0.6397          | 22.1125 | 14.6475 |
| 0.0002        | 14.0  | 2716 | 0.6415          | 22.7502 | 15.1846 |
| 0.0002        | 15.0  | 2910 | 0.6443          | 22.7193 | 15.1742 |
| 0.0002        | 16.0  | 3104 | 0.6461          | 22.7296 | 15.1915 |
| 0.0001        | 17.0  | 3298 | 0.6477          | 22.6885 | 15.1777 |
| 0.0002        | 18.0  | 3492 | 0.6490          | 22.6782 | 15.1586 |
| 0.0001        | 19.0  | 3686 | 0.6499          | 22.7296 | 15.1673 |
| 0.0001        | 20.0  | 3880 | 0.6502          | 22.8325 | 15.2331 |


### Framework versions

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