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# Misinformation-Covid-Warmupbert-base-german-cased

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: 0.6650
- Accuracy: 0.8977

## 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: 0.0002
- 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: 50
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.863         | 1.0   | 216  | 0.6858          | 0.8977   |
| 0.7632        | 2.0   | 432  | 0.6650          | 0.8977   |


### Framework versions

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

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-german-cased", "model-index": [{"name": "Misinformation-Covid-Warmupbert-base-german-cased", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer base_model:bert-base-german-cased license:mit autotrain_compatible endpoints_compatible region:us