Which parameters can be tweaked in summarization parameters?
Hi,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 ismax_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 asgoogle/pegasus-cnn_dailymail,t5-base,facebook/bart-large-cnn)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))