arabert_baseline_style_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: 0.6503
• Qwk: 0.7
• Mse: 0.6503

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	3.1919	0.0704	3.1919
No log	2.0	4	1.3173	0.0303	1.3173
No log	3.0	6	0.6709	0.1111	0.6709
No log	4.0	8	0.7125	0.4839	0.7125
No log	5.0	10	0.8225	0.1724	0.8225
No log	6.0	12	0.7902	0.1724	0.7902
No log	7.0	14	0.6931	0.6	0.6931
No log	8.0	16	0.6270	0.5238	0.6270
No log	9.0	18	0.6337	0.6098	0.6337
No log	10.0	20	0.6503	0.7	0.6503

Framework versions

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