arabert2arabert-finetuned-ar-xlsum

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

• Loss: 5.1557
• Rouge-1: 25.3
• Rouge-2: 10.46
• Rouge-l: 22.12
• Gen Len: 20.0
• Bertscore: 71.98

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
• lr_scheduler_warmup_steps: 250
• num_epochs: 8
• label_smoothing_factor: 0.1

Training results

Framework versions

• Transformers 4.19.2
• Pytorch 1.11.0+cu113
• Datasets 2.2.2
• Tokenizers 0.12.1