roberta-base-fake-news-detection

This model is a fine-tuned version of roberta-base on the fake-news-detection-dataset-english dataset. It achieves the following results on the evaluation set:

• Loss: 0.0061
• Accuracy: 0.9992

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-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: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0073	1.0	4490	0.0087	0.9989
0.0076	2.0	8980	0.0062	0.9992
0.0094	3.0	13470	0.0061	0.9992

Framework versions

• Transformers 4.27.3
• Pytorch 1.13.1+cu116
• Datasets 2.10.1
• Tokenizers 0.13.2