arabert_baseline_relevance_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: 0.2447
• Qwk: 0.0
• Mse: 0.2447

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	0.5832	0.0526	0.5832
No log	2.0	4	0.2143	0.0	0.2143
No log	3.0	6	0.2591	0.0	0.2591
No log	4.0	8	0.3066	0.0	0.3066
No log	5.0	10	0.3845	0.0	0.3845
No log	6.0	12	0.3456	0.0	0.3456
No log	7.0	14	0.2856	0.0	0.2856
No log	8.0	16	0.2525	0.0	0.2525
No log	9.0	18	0.2452	0.0	0.2452
No log	10.0	20	0.2447	0.0	0.2447

Framework versions

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