SocialMainSectionsPegasusLargeModel

This model is a fine-tuned version of google/pegasus-large on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 5.6492
• Rouge1: 44.7384
• Rouge2: 14.7302
• Rougel: 30.3839
• Rougelsum: 40.5448
• Bertscore Precision: 77.1616
• Bertscore Recall: 81.7496
• Bertscore F1: 79.3809
• Bleu: 0.1156
• Gen Len: 190.8850

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: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Bertscore Precision	Bertscore Recall	Bertscore F1	Bleu	Gen Len
5.8481	0.6661	500	5.6492	44.7384	14.7302	30.3839	40.5448	77.1616	81.7496	79.3809	0.1156	190.8850

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.1+cu121
• Datasets 2.19.2
• Tokenizers 0.19.1