mirror of
https://github.com/huggingface/transformers.git
synced 2025-07-04 13:20:12 +06:00
31 lines
1.1 KiB
Python
31 lines
1.1 KiB
Python
from collections import Counter
|
|
import argparse
|
|
import pickle
|
|
|
|
from utils import logger
|
|
|
|
if __name__ == '__main__':
|
|
parser = argparse.ArgumentParser(description="Token Counts for smoothing the masking probabilities in MLM (cf XLM/word2vec)")
|
|
parser.add_argument("--data_file", type=str, default="data/dump.bert-base-uncased.pickle",
|
|
help="The binarized dataset."
|
|
parser.add_argument("--token_counts_dump", type=str, default="data/token_counts.bert-base-uncased.pickle",
|
|
help="The dump file.")
|
|
parser.add_argument("--vocab_size", default=30522, type=int)
|
|
args = parser.parse_args()
|
|
|
|
logger.info(f'Loading data from {args.data_file}')
|
|
with open(args.data_file, 'rb') as fp:
|
|
data = pickle.load(fp)
|
|
|
|
logger.info('Counting occurences for MLM.')
|
|
counter = Counter()
|
|
for tk_ids in data:
|
|
counter.update(tk_ids)
|
|
counts = [0]*args.vocab_size
|
|
for k, v in counter.items():
|
|
counts[k] = v
|
|
|
|
logger.info(f'Dump to {args.token_counts_dump}')
|
|
with open(args.token_counts_dump, 'wb') as handle:
|
|
pickle.dump(counts, handle, protocol=pickle.HIGHEST_PROTOCOL)
|