---
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 dataset.
It achieves the following results on the evaluation set:
- Loss: 5.8433
- 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      |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 3.2151        | 1.0   | 765   | 3.6892          | 145.0057 |
| 2.4608        | 2.0   | 1530  | 3.7770          | 102.6980 |
| 1.8089        | 3.0   | 2295  | 4.0128          | 125.0287 |
| 1.3185        | 4.0   | 3060  | 4.2434          | 104.7072 |
| 0.8036        | 5.0   | 3825  | 4.5708          | 111.1940 |
| 0.464         | 6.0   | 4590  | 4.7913          | 128.3582 |
| 0.2689        | 7.0   | 5355  | 4.9963          | 117.8530 |
| 0.1899        | 8.0   | 6120  | 5.1768          | 108.7256 |
| 0.192         | 9.0   | 6885  | 5.2917          | 103.8462 |
| 0.128         | 10.0  | 7650  | 5.4184          | 105.2813 |
| 0.1435        | 11.0  | 8415  | 5.5027          | 115.8439 |
| 0.1201        | 12.0  | 9180  | 5.6452          | 110.9070 |
| 0.1328        | 13.0  | 9945  | 5.6889          | 122.4455 |
| 0.0979        | 14.0  | 10710 | 5.6940          | 113.2032 |
| 0.1165        | 15.0  | 11475 | 5.7213          | 108.5534 |
| 0.0978        | 16.0  | 12240 | 5.7604          | 105.7405 |
| 0.0927        | 17.0  | 13005 | 5.7672          | 105.9127 |
| 0.0829        | 18.0  | 13770 | 5.7777          | 106.1998 |
| 0.0974        | 19.0  | 14535 | 5.7957          | 110.3904 |
| 0.0998        | 20.0  | 15300 | 5.8433          | 107.4053 |


### Framework versions

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