ArabicNewSplits_FineTuningAraBERT_noAug_task5_organization_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: 1.0565
• Qwk: 0.3540
• Mse: 1.0565
• Rmse: 1.0279

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: 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	Rmse
No log	2.0	2	2.4385	0.1565	2.4385	1.5616
No log	4.0	4	1.5745	0.1705	1.5745	1.2548
No log	6.0	6	1.1751	0.4327	1.1751	1.0840
No log	8.0	8	1.0710	0.3855	1.0710	1.0349
No log	10.0	10	1.0565	0.3540	1.0565	1.0279

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.0+cu118
• Datasets 2.21.0
• Tokenizers 0.19.1