Mohammed_Saudi_Classifier

This model is a fine-tuned version of CAMeL-Lab/bert-base-arabic-camelbert-mix on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.2974
• Accuracy: 0.5234
• F1: 0.4943

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
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	60	3.6110	0.0935	0.0643
No log	2.0	120	3.1155	0.3645	0.3204
No log	3.0	180	2.7432	0.4579	0.4136
No log	4.0	240	2.4919	0.5234	0.4923
No log	5.0	300	2.3466	0.5234	0.4977
No log	6.0	360	2.2974	0.5234	0.4943

Framework versions

• Transformers 4.42.4
• Pytorch 2.7.1+cu126
• Datasets 3.6.0
• Tokenizers 0.19.1