AhmedBou/bert-base-arabic-TunDC-mixed

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