transformers safetensors pegasus text2text-generation summarization id dataset:fajrikoto/id_liputan6 base_model:google/pegasus-cnn_dailymail base_model:finetune:google/pegasus-cnn_dailymail license:mit autotrain_compatible endpoints_compatible region:us
---
base_model:
- google/pegasus-cnn_dailymail
datasets:
- fajrikoto/id_liputan6
language:
- id
library_name: transformers
license: mit
metrics:
- rouge
pipeline_tag: summarization
---

PEGASUS Mini is a fine-tuned version of the PEGASUS model, originally pre-trained on the CNN/Daily Mail dataset. This fine-tuning is specifically tailored for abstractive text summarization of Indonesian news articles using the Liputan6 dataset.

The model has been trained on a subset of 50,000 samples from the Liputan6 dataset for 5 epochs, making it lightweight and efficient while maintaining strong summarization performance.