---
license: mit
base_model: bert-base-german-cased
tags:
- generated_from_trainer
model-index:
- name: bert-base-german-cased-MLM-chemistry
  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. -->

# bert-base-german-cased-MLM-chemistry

This model is a fine-tuned version of [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1771

## 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: 64
- eval_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1296        | 1.0   | 211  | 1.4955          |
| 1.5071        | 2.0   | 422  | 1.3285          |
| 1.373         | 3.0   | 633  | 1.2512          |
| 1.3002        | 4.0   | 844  | 1.1762          |
| 1.271         | 5.0   | 1055 | 1.2068          |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3