GonzaloA/distilroberta-base-finetuned-fakeNews

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distilroberta-base-finetuned-fakeNews

This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0355
• —Accuracy: 0.9910

Training and evaluation data

All of the process to train this model is available in this repository: https://github.com/G0nz4lo-4lvarez-H3rv4s/FakeNewsDetection

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 2e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.20.0
• —Pytorch 1.11.0+cu113
• —Datasets 2.3.2
• —Tokenizers 0.12.1