christinacdl/XLM_RoBERTa-Clickbait-Detection-Greek

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XLM_RoBERTa-Clickbait-Detection-Greek

This model is a fine-tuned version of xlm-roberta-large on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.1786
• —Micro F1: 0.9654
• —Macro F1: 0.9652
• —Accuracy: 0.9654

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: 1e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 4

Training results

Framework versions

• —Transformers 4.36.1
• —Pytorch 2.1.0+cu121
• —Datasets 2.13.1
• —Tokenizers 0.15.0