Bmalmotairy/arabert-fully-supervised-arabic-propaganda

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arabert-fully-supervised-arabic-propaganda

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02-twitter on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.4417
• —Accuracy: 0.9167
• —Precision: 0.5577
• —Recall: 0.7073
• —F1: 0.6237

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
• —trainbatchsize: 64
• —evalbatchsize: 64
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.2
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.35.0
• —Pytorch 2.1.0+cu121
• —Datasets 2.14.6
• —Tokenizers 0.14.1