AlQalam

This model is a fine-tuned version of ahmeddbahaa/AraT5-base-finetune-ar-xlsum on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.0638

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: 0.0005
• 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss
1.2838	1.0	1678	1.1437
1.1376	2.0	3356	1.0913
1.0027	3.0	5034	1.0693
0.9342	4.0	6712	1.0588
0.8767	5.0	8390	1.0638

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3