MoNafea01/saudi-eou-bert-classifier

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saudi-eou-bert-classifier

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.3407
• —Accuracy: 0.864
• —Auc: 0.921

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
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 10

Training results

Framework versions

• —PEFT 0.18.0
• —Transformers 4.57.3
• —Pytorch 2.9.0+cu126
• —Datasets 4.4.1
• —Tokenizers 0.22.1