SMG0/Model4_arabertv2_base_T1_WS_A100_2nd_F1

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Model4arabertv2baseT1WSA1002nd_F1

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: 0.2587
• —F1 Micro: 0.8495
• —F1 Macro: 0.7753
• —Roc Auc: 0.9091
• —Accuracy: 0.8254

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: 5e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 15

Training results

Framework versions

• —Transformers 4.46.3
• —Pytorch 2.5.1+cu121
• —Datasets 3.2.0
• —Tokenizers 0.20.3