bert-base-arabertv2_D3Lex_CE_19levels

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bert-base-arabertv2_D3Lex_CE_19levels

This model is a fine-tuned version of aubmindlab/bert-base-arabertv2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.8342
• Macro F1: 0.4364
• Macro Precision: 0.4424
• Macro Recall: 0.4454
• Accuracy: 0.5140
• Accuracy With Margin: 0.6744
• Distance: 1.2527
• Quadratic weighted kappa: 0.7889
• Accuracy 7: 0.6179
• Accuracy 5: 0.6653
• Accuracy 3: 0.7363

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
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 6
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.53.2
• Pytorch 2.6.0+cu124
• Datasets 4.0.0
• Tokenizers 0.21.2