---
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: 0.9461
- Wer: 30.9061

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.8146        | 1.0   | 194  | 0.8137          | 65.1856 |
| 0.4421        | 2.0   | 388  | 0.8220          | 37.1285 |
| 0.2251        | 3.0   | 582  | 0.7980          | 39.5557 |
| 0.1636        | 4.0   | 776  | 0.8563          | 50.7457 |
| 0.0827        | 5.0   | 970  | 0.8480          | 40.8516 |
| 0.0772        | 6.0   | 1164 | 0.8860          | 43.8136 |
| 0.0437        | 7.0   | 1358 | 0.9120          | 37.8793 |
| 0.0328        | 8.0   | 1552 | 0.9252          | 34.8144 |
| 0.0222        | 9.0   | 1746 | 0.9330          | 35.4520 |
| 0.0216        | 10.0  | 1940 | 0.9464          | 33.9504 |
| 0.0145        | 11.0  | 2134 | 0.9413          | 32.3151 |
| 0.0072        | 12.0  | 2328 | 0.9746          | 33.8990 |
| 0.0045        | 13.0  | 2522 | 0.9515          | 32.3871 |
| 0.0024        | 14.0  | 2716 | 0.9588          | 34.3618 |
| 0.0031        | 15.0  | 2910 | 0.9483          | 34.0533 |
| 0.0006        | 16.0  | 3104 | 0.9485          | 30.8135 |
| 0.0005        | 17.0  | 3298 | 0.9433          | 30.8444 |
| 0.0004        | 18.0  | 3492 | 0.9449          | 31.0398 |
| 0.0004        | 19.0  | 3686 | 0.9457          | 30.9575 |
| 0.0004        | 20.0  | 3880 | 0.9461          | 30.9061 |


### Framework versions

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