HF-version model for PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization (ACL 2022).
The original code can be found here. You can find the script and notebook to train/evaluate the model in the original github repo.
- Note: due to the difference between the implementations of the original Longformer and the Huggingface LED model, the results of converted models are slightly different. We run a sanity check on both fine-tuned and non fine-tuned models on the MultiNews dataset, and show the results below:
| Model | Rouge-1 | Rouge-2 | Rouge-L |
|---|---|---|---|
| PRIMERA | 42.0 | 13.6 | 20.8 |
| PRIMERA-hf | 41.7 | 13.6 | 20.5 |
| PRIMERA(finetuned) | 49.9 | 21.1 | 25.9 |
| PRIMERA-hf(finetuned) | 49.9 | 20.9 | 25.8 |
You can use it by
from transformers import (
AutoTokenizer,
LEDConfig,
LEDForConditionalGeneration,
)
tokenizer = AutoTokenizer.from_pretrained('allenai/PRIMERA')
config=LEDConfig.from_pretrained('allenai/PRIMERA')
model = LEDForConditionalGeneration.from_pretrained('allenai/PRIMERA')
