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

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Hanhpt23/GermanMed-full dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9014
- Wer: 29.3839

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.747         | 1.0   | 194  | 0.7466          | 40.1728 |
| 0.4004        | 2.0   | 388  | 0.7261          | 37.1285 |
| 0.2012        | 3.0   | 582  | 0.7231          | 34.3721 |
| 0.1134        | 4.0   | 776  | 0.7465          | 34.0327 |
| 0.0606        | 5.0   | 970  | 0.7888          | 37.7044 |
| 0.0525        | 6.0   | 1164 | 0.8147          | 33.9813 |
| 0.0323        | 7.0   | 1358 | 0.8244          | 31.6569 |
| 0.027         | 8.0   | 1552 | 0.8383          | 31.8215 |
| 0.0149        | 9.0   | 1746 | 0.8643          | 32.1094 |
| 0.0119        | 10.0  | 1940 | 0.8747          | 31.7495 |
| 0.009         | 11.0  | 2134 | 0.8765          | 30.9781 |
| 0.0037        | 12.0  | 2328 | 0.8875          | 29.8879 |
| 0.0021        | 13.0  | 2522 | 0.8832          | 30.0936 |
| 0.0011        | 14.0  | 2716 | 0.8943          | 29.9496 |
| 0.0013        | 15.0  | 2910 | 0.8906          | 29.5485 |
| 0.0006        | 16.0  | 3104 | 0.8944          | 29.5999 |
| 0.0006        | 17.0  | 3298 | 0.8968          | 29.3942 |
| 0.0005        | 18.0  | 3492 | 0.8997          | 29.3839 |
| 0.0006        | 19.0  | 3686 | 0.9010          | 29.4251 |
| 0.0005        | 20.0  | 3880 | 0.9014          | 29.3839 |


### Framework versions

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