I’m trying to understand if there are any settings that can be adjusted in the summarizer?
I tried changing various values, like top_p, top_k, etc…, but the only thing that seems to have any effect on output is
max_length, which just cuts the summary off abruptly.
Is there any way to control the generation of the summary?
sample code I’ve tried:
(note, I tried this on various models, such as
text = '<sample text here>' model = "google/pegasus-cnn_dailymail" summarizer = pipeline("summarization", model=model) print(summarizer(txt, temperature=3, num_beams=5, no_repeat_ngram_size=3, top_p=.6, max_length=80, do_sample=False, truncation = True)) # first version gives same result as below, except it gets truncated print(summarizer(txt, truncation = True))