mohammadjavadpirhadi/roberta-base-fake-news-detection

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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
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 3.0

Training results

Framework versions

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