arabert-mental-health-finetuned-final

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on the Arabic Mental Health QA (MentalQA) dataset. It achieves the following results on the evaluation set:

• Loss: 0.2212
• F1 Weighted: 0.6045
• Jaccard Weighted: 0.4540

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Weighted	Jaccard Weighted
No log	1.0	38	0.2513	0.4951	0.4109
No log	2.0	76	0.2260	0.6044	0.4600
No log	3.0	114	0.2245	0.6101	0.4588
No log	4.0	152	0.2212	0.6045	0.4540

Framework versions

• Transformers 4.53.2
• Pytorch 2.6.0+cu124
• Datasets 2.14.4
• Tokenizers 0.21.2