arabert-eou-saudi

This model is a fine-tuned version of aubmindlab/bert-base-arabertv2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2867
• F1 Eou: 0.9288

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Eou
No log	1.0	295	0.2871	0.8851
0.2698	2.0	590	0.4402	0.8779
0.2698	3.0	885	0.3778	0.9078

Framework versions

• Transformers 4.57.3
• Pytorch 2.9.1+cpu
• Datasets 4.4.1
• Tokenizers 0.22.1