---
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: 0.7961
- Wer: 26.1648

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.6649        | 1.0   | 194  | 0.6657          | 43.7108 |
| 0.3613        | 2.0   | 388  | 0.6721          | 38.5375 |
| 0.2014        | 3.0   | 582  | 0.6927          | 38.8769 |
| 0.1383        | 4.0   | 776  | 0.7546          | 35.0098 |
| 0.1053        | 5.0   | 970  | 0.7698          | 34.0636 |
| 0.086         | 6.0   | 1164 | 0.7729          | 29.7028 |
| 0.059         | 7.0   | 1358 | 0.7985          | 36.8405 |
| 0.0471        | 8.0   | 1552 | 0.8244          | 30.3919 |
| 0.039         | 9.0   | 1746 | 0.8291          | 30.2067 |
| 0.0195        | 10.0  | 1940 | 0.8342          | 33.1379 |
| 0.0149        | 11.0  | 2134 | 0.8184          | 30.7004 |
| 0.0103        | 12.0  | 2328 | 0.8249          | 29.4868 |
| 0.0077        | 13.0  | 2522 | 0.8106          | 33.0351 |
| 0.0039        | 14.0  | 2716 | 0.7991          | 29.0445 |
| 0.0017        | 15.0  | 2910 | 0.8102          | 28.0160 |
| 0.0019        | 16.0  | 3104 | 0.7934          | 26.5247 |
| 0.0014        | 17.0  | 3298 | 0.7996          | 26.7201 |
| 0.0002        | 18.0  | 3492 | 0.7955          | 26.5659 |
| 0.0002        | 19.0  | 3686 | 0.7959          | 26.2059 |
| 0.0003        | 20.0  | 3880 | 0.7961          | 26.1648 |


### Framework versions

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