bert-base-arabic-TunDC-boosted

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

  • Loss: 0.5965

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: 3e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • 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: 4

Training results

Training Loss Epoch Step Validation Loss
0.6802 1.0 2972 0.4765
0.4899 2.0 5944 0.4216
0.3258 3.0 8916 0.5224
0.2718 4.0 11888 0.5965

Framework versions

  • Transformers 4.48.3
  • Pytorch 2.5.1+cu124
  • Datasets 3.3.2
  • Tokenizers 0.21.0

Classification Report

Class Precision Recall F1-Score Support
0 0.82 0.90 0.86 5476
1 0.87 0.76 0.81 4712
Accuracy 0.84 10188
Macro Avg 0.84 0.83 0.83 10188
Weighted Avg 0.84 0.84 0.84 10188
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