arabert_baseline_grammar_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: 0.6477
• Qwk: 0.6444
• Mse: 0.6477

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	4.0821	-0.0566	4.0821
No log	2.0	4	1.6697	0.0280	1.6697
No log	3.0	6	0.7789	0.1111	0.7789
No log	4.0	8	0.6611	0.5676	0.6611
No log	5.0	10	0.7191	0.2258	0.7191
No log	6.0	12	0.6926	0.6471	0.6926
No log	7.0	14	0.6832	0.6471	0.6832
No log	8.0	16	0.6535	0.6444	0.6535
No log	9.0	18	0.6491	0.6444	0.6491
No log	10.0	20	0.6477	0.6444	0.6477

Framework versions

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