metadata

license: mit
base_model: bert-base-german-cased
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: Misinformation-Covidbert-base-german-cased
    results: []

Misinformation-Covidbert-base-german-cased

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: 1.0461
Accuracy: {'accuracy': 0.9116279069767442}
F1: {'f1': 0.9518987341772153}

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.7824	1.0	216	0.5755	{'accuracy': 0.8325581395348837}	{'f1': 0.9027027027027028}
0.8006	2.0	432	1.0461	{'accuracy': 0.9116279069767442}	{'f1': 0.9518987341772153}

Framework versions

Transformers 4.32.1
Pytorch 2.1.2
Datasets 2.12.0
Tokenizers 0.13.3