metadata
license: apache-2.0
tags:
- distilbart
- summarization
base_model: sshleifer/distilbart-cnn-12-6
model-index:
- name: MLQ-distilbart-bbc
results:
- task:
type: summarization
name: Summarization
dataset:
name: bbc
type: bbc
config: default
split: test
metrics:
- type: rouge
value: 61.43
name: ROUGE-2
verified: false
MLQ-distilbart-bbc
This model is a fine-tuned version of sshleifer/distilbart-cnn-12-6 on the BBC News Summary dataset (https://www.kaggle.com/pariza/bbc-news-summary).
The model has been generated as part of the in-lab practice of Deep NLP course currently held at Politecnico di Torino.
Training parameters:
num_train_epochs=2
fp16=True
per_device_train_batch_size=1
warmup_steps=10
weight_decay=0.01
max_seq_length=100