arabert_baseline_grammar_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: 0.1910
• Qwk: 0.0
• Mse: 0.1910

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	4.4310	0.0	4.4310
No log	2.0	4	3.0289	0.0	3.0289
No log	3.0	6	2.1305	0.0088	2.1305
No log	4.0	8	1.3469	0.0	1.3469
No log	5.0	10	0.6404	0.0	0.6404
No log	6.0	12	0.3694	-0.1000	0.3694
No log	7.0	14	0.2252	0.0	0.2252
No log	8.0	16	0.1814	0.0	0.1814
No log	9.0	18	0.1877	0.0	0.1877
No log	10.0	20	0.1910	0.0	0.1910

Framework versions

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