test

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4328
• Accuracy: 0.8571

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 9

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	11	0.6631	0.6190
No log	2.0	22	0.4584	0.9048
No log	3.0	33	0.3879	0.8571
No log	4.0	44	0.3780	0.8571
No log	5.0	55	0.4273	0.8571
No log	6.0	66	0.3786	0.8571
No log	7.0	77	0.3273	0.8571
No log	8.0	88	0.4280	0.8571
No log	9.0	99	0.4328	0.8571

Framework versions

• Transformers 4.42.3
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1