metadata

license: mit
base_model: bert-base-german-cased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: Misinformation-Covid-Articles
    results: []

Misinformation-Covid-Articles

This model is a fine-tuned version of bert-base-german-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1024
Accuracy: 0.9767

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: 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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0867	1.0	3609	0.1024	0.9767

Framework versions

Transformers 4.32.1
Pytorch 2.1.2
Datasets 2.12.0
Tokenizers 0.13.3