---
license: mit
base_model: bert-base-german-cased
tags:
- generated_from_trainer
model-index:
- name: bert-base-german-cased-MLM-eu_chemistry_regulation
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-german-cased-MLM-eu_chemistry_regulation

This model is a fine-tuned version of [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.3004

## 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-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 8.2914        | 1.0   | 50   | 6.9648          |
| 6.6413        | 2.0   | 100  | 6.1102          |
| 5.9499        | 3.0   | 150  | 5.6320          |
| 5.5994        | 4.0   | 200  | 5.2805          |
| 5.4397        | 5.0   | 250  | 5.3993          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.2