Scientific Paper Summarizer
This model is fine-tuned version of google/pegasus-pubmed for scientific paper summarization.
Model description
The model is based on PEGASUS and has been fine-tuned on scientific papers from the ArXiv dataset.
Intended uses & limitations
This model is intended for summarizing scientific papers and research articles.
Training and evaluation data
The model was fine-tuned on a subset of the ArXiv scientific papers dataset.
Training procedure
The model was fine-tuned using the following parameters:
- Maximum input length: 512
- Maximum target length: 128
- Batch size: 4
- Learning rate: 2e-5
- Number of epochs: 5
Evaluation results
The model achieved the following ROUGE scores:
- ROUGE-1: 0.3766
- ROUGE-2: 0.1260
- ROUGE-L: 0.2191
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