article_classificationv0

This model is a fine-tuned version of aubmindlab/bert-base-arabertv2 on Egyptain news dataset. trained to classift article on 5 classes (economy, culture , health, invistigation, accidents ) It achieves the following results on the evaluation set:

• Loss: 0.1126
• Accuracy: 0.9690

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1795	1.0	1124	0.1641	0.9560
0.0919	2.0	2248	0.1126	0.9690

Framework versions

• Transformers 4.40.1
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1