---
base_model: smanjil/German-MedBERT
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: German-MedBERT
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# German-MedBERT

This model is a fine-tuned version of [smanjil/German-MedBERT](https://huggingface.co/smanjil/German-MedBERT) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6756
- F1: 0.5231

## 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: 2e-06
- 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
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.6685        | 1.0   | 189  | 0.6026          | 0.0    |
| 0.6161        | 2.0   | 378  | 0.5464          | 0.2326 |
| 0.569         | 3.0   | 567  | 0.5510          | 0.2273 |
| 0.5636        | 4.0   | 756  | 0.5546          | 0.3704 |
| 0.5668        | 5.0   | 945  | 0.5323          | 0.4571 |
| 0.4882        | 6.0   | 1134 | 0.7460          | 0.3265 |
| 0.5819        | 7.0   | 1323 | 0.6150          | 0.4776 |
| 0.4747        | 8.0   | 1512 | 0.6596          | 0.4923 |
| 0.5035        | 9.0   | 1701 | 0.6764          | 0.5    |
| 0.463         | 10.0  | 1890 | 0.6756          | 0.5231 |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.12.0
- Tokenizers 0.13.3