Sfaya-Ary-Others

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

• Loss: 0.6978
• Accuracy: 0.8667

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 200
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0337	0.1815	5000	2.6945	0.5300
0.0412	0.3631	10000	4.3826	0.1350
0.0995	0.5446	15000	2.6354	0.4761
0.1174	0.7262	20000	3.1465	0.0530
0.5997	0.9077	25000	0.6978	0.8667
0.1171	1.0892	30000	0.7908	0.7988
0.1458	1.2708	35000	3.2584	0.0800
0.1158	1.4523	40000	2.3124	0.0910
0.1197	1.6339	45000	0.7678	0.6622
0.0609	1.8154	50000	1.1030	0.6607
0.0414	1.9970	55000	2.8151	0.4960

Framework versions

• Transformers 4.45.2
• Pytorch 2.5.1+cu124
• Datasets 3.1.0
• Tokenizers 0.20.3