arabert_baseline_organization_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: 1.2734
• Qwk: -0.1579
• Mse: 1.2734

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	3.4925	0.0133	3.4925
No log	2.0	4	1.6289	0.0280	1.6289
No log	3.0	6	0.8865	0.0943	0.8865
No log	4.0	8	0.9705	0.2195	0.9705
No log	5.0	10	1.2103	0.1351	1.2103
No log	6.0	12	1.3455	0.1351	1.3455
No log	7.0	14	1.3806	0.1351	1.3806
No log	8.0	16	1.3165	0.1351	1.3165
No log	9.0	18	1.2837	-0.1579	1.2837
No log	10.0	20	1.2734	-0.1579	1.2734

Framework versions

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