arabert_baseline_organization_task4_fold1

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: 0.8940
• Qwk: 0.0
• Mse: 0.8940

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	6.5690	0.0	6.5690
No log	2.0	4	4.8498	0.0	4.8498
No log	3.0	6	3.8531	-0.0476	3.8531
No log	4.0	8	3.0568	0.0	3.0568
No log	5.0	10	2.0163	0.0	2.0163
No log	6.0	12	1.4680	0.0	1.4680
No log	7.0	14	1.1864	0.12	1.1864
No log	8.0	16	1.0227	0.0	1.0227
No log	9.0	18	0.9245	0.0	0.9245
No log	10.0	20	0.8940	0.0	0.8940

Framework versions

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