pegasus-large-finetuned-scientific-articles

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pegasus-large-finetuned-scientific-articles

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

• Loss: 2.4553
• Rouge1: 32.8743
• Rouge2: 10.8417
• Rougel: 20.3101
• Rougelsum: 28.3673

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: 5.6e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 3

Training results

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.2
• Tokenizers 0.19.1