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# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
"""Model evaluation"""
from megatron import get_args
from megatron import print_rank_0
from tasks.msdp.metrics import F1Metric
from tqdm import tqdm
def evaluate_f1(guess_file, answer_file):
"""Evaluating F1 Score"""
guess_list = []
print_rank_0('reading %s' % guess_file)
with open(guess_file, "r") as f:
for i, line in enumerate(tqdm(f)):
line = line.strip()
if "<|endoftext|>" in line:
line = line.replace("<|endoftext|>", "")
guess_list.append(line)
answer_list = []
print_rank_0('reading %s' % answer_file)
with open(answer_file, "r") as f:
for i, line in enumerate(tqdm(f)):
line = line.strip()
if line == "no_passages_used":
line = ""
answer_list.append(line)
assert len(guess_list) == len(answer_list), \
"lengths of guess and answer are different!"
precision, recall, f1 = F1Metric.compute_all_pairs(guess_list, answer_list)
print_rank_0('Precision: %.4f; recall: %.4f; f1: %.4f' % (precision, recall, f1))
print_rank_0('done :-)')
def main():
args = get_args()
evaluate_f1(args.guess_file, args.answer_file)
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