---
language:
- de
license: apache-2.0
base_model: openai/whisper-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: openai/whisper-base
  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-base

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Hanhpt23/GermanMed dataset.
It achieves the following results on the evaluation set:
- Loss: 5.5096
- Wer: 105.0517

## 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      |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 3.094         | 1.0   | 765   | 3.6319          | 147.1871 |
| 2.2494        | 2.0   | 1530  | 3.7314          | 101.2055 |
| 1.5508        | 3.0   | 2295  | 3.9256          | 109.4719 |
| 0.9752        | 4.0   | 3060  | 4.2097          | 106.3720 |
| 0.4449        | 5.0   | 3825  | 4.5738          | 103.4443 |
| 0.2699        | 6.0   | 4590  | 4.7393          | 113.6625 |
| 0.2048        | 7.0   | 5355  | 4.9283          | 105.8553 |
| 0.1749        | 8.0   | 6120  | 4.9945          | 110.6200 |
| 0.1707        | 9.0   | 6885  | 5.1057          | 121.0677 |
| 0.1193        | 10.0  | 7650  | 5.1520          | 116.5327 |
| 0.1266        | 11.0  | 8415  | 5.3014          | 107.0608 |
| 0.1156        | 12.0  | 9180  | 5.3254          | 104.9369 |
| 0.1282        | 13.0  | 9945  | 5.3345          | 123.4214 |
| 0.0944        | 14.0  | 10710 | 5.3766          | 129.9656 |
| 0.113         | 15.0  | 11475 | 5.3981          | 109.5293 |
| 0.0986        | 16.0  | 12240 | 5.4435          | 104.5350 |
| 0.0919        | 17.0  | 13005 | 5.4113          | 105.9701 |
| 0.0824        | 18.0  | 13770 | 5.4515          | 102.2962 |
| 0.0974        | 19.0  | 14535 | 5.4659          | 108.0367 |
| 0.0995        | 20.0  | 15300 | 5.5096          | 105.0517 |


### Framework versions

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