AraBART-summ

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: 1

Validation Metrics

• Loss: 2.3417
• Rouge1: 2.353
• Rouge2: 1.103
• RougeL: 1.176
• RougeLsum: 1.521

Training results

Training Loss	Epoch	Step	Validation Loss
2.7555	1.0	9380	2.3417

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.7.1
• Tokenizers 0.13.2