arabert_baseline_development_task4_fold0

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: 0.4483
• Qwk: 0.6
• Mse: 0.4483

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
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse
No log	1.0	2	3.6202	-0.0256	3.6202
No log	2.0	4	1.3484	0.0667	1.3484
No log	3.0	6	0.4149	0.28	0.4149
No log	4.0	8	0.4977	0.1765	0.4977
No log	5.0	10	0.6053	0.1765	0.6053
No log	6.0	12	0.6080	0.25	0.6080
No log	7.0	14	0.5578	0.7143	0.5578
No log	8.0	16	0.4912	0.6	0.4912
No log	9.0	18	0.4606	0.6	0.4606
No log	10.0	20	0.4483	0.6	0.4483

Framework versions

• Transformers 4.44.0
• Pytorch 2.4.0
• Datasets 2.21.0
• Tokenizers 0.19.1