ArSUM-ai

This model is a fine-tuned version of abdalrahmanshahrour/arabartsummarization on the xlsum dataset. It achieves the following results on the evaluation set:

• Loss: 2.5951

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: 5e-05
• train_batch_size: 4
• eval_batch_size: 4
• 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
2.3947	1.0	9380	2.4121
2.182	2.0	18760	2.4303
1.9303	3.0	28140	2.4727
1.7455	4.0	37520	2.5470
1.5804	5.0	46900	2.5951

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2