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

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Hanhpt23/GermanMed dataset.
It achieves the following results on the evaluation set:
- Loss: 5.5611
- Wer: 107.4053

## 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      |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 3.0873        | 1.0   | 765   | 3.7193          | 114.9828 |
| 2.0404        | 2.0   | 1530  | 3.8002          | 105.8553 |
| 1.1104        | 3.0   | 2295  | 4.2393          | 106.7738 |
| 0.6064        | 4.0   | 3060  | 4.4641          | 113.7773 |
| 0.3464        | 5.0   | 3825  | 4.8067          | 106.8886 |
| 0.2769        | 6.0   | 4590  | 5.0650          | 106.6590 |
| 0.2327        | 7.0   | 5355  | 5.0613          | 111.1366 |
| 0.181         | 8.0   | 6120  | 5.2019          | 104.7072 |
| 0.17          | 9.0   | 6885  | 5.3335          | 123.8806 |
| 0.1518        | 10.0  | 7650  | 5.3649          | 156.4294 |
| 0.1405        | 11.0  | 8415  | 5.4181          | 107.6349 |
| 0.1229        | 12.0  | 9180  | 5.4629          | 102.0666 |
| 0.1335        | 13.0  | 9945  | 5.4842          | 106.0850 |
| 0.1016        | 14.0  | 10710 | 5.4736          | 105.4535 |
| 0.119         | 15.0  | 11475 | 5.4178          | 109.1848 |
| 0.0979        | 16.0  | 12240 | 5.4872          | 106.7738 |
| 0.0919        | 17.0  | 13005 | 5.5066          | 105.7979 |
| 0.0835        | 18.0  | 13770 | 5.5156          | 117.8530 |
| 0.0979        | 19.0  | 14535 | 5.5140          | 109.9885 |
| 0.1001        | 20.0  | 15300 | 5.5611          | 107.4053 |


### Framework versions

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