I test on test split in the tensorflow_dataset 4. Use python library rouge to output rouge score.
The score is quite low, compared to the score reported in the paper 18

{‘rouge-1’: {‘f’: 0.38628074837405213,
‘p’: 0.38253581551915466,
‘r’: 0.4136606028772784},
‘rouge-2’: {‘f’: 0.1810805831229415,
‘p’: 0.17948749808930747,
‘r’: 0.193921872080545},
‘rouge-l’: {‘f’: 0.3747852342130126,
‘p’: 0.37128779953880464,
‘r’: 0.3958861147871471}}

the score reported in the paper:
BART 44.16 21.28 40.90 (R1, R2, RL)
parameter of generate function:

num_beams=4,
length_penalty=2.0,
max_length=256,
min_length=10,
no_repeat_ngram_size=3