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add BOS token in pre-training

This commit is contained in:
hiyouga 2023-06-15 01:46:17 +08:00
parent b6faf0207d
commit d668f8b501
1 changed files with 5 additions and 4 deletions
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9
src/utils/common.py
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@ -430,15 +430,16 @@ def preprocess_data(
yield dialog
def preprocess_pretrain_dataset(examples):
# build grouped texts with format `X1 X2 X3 ...` (without [BOS] and [EOS])
# build grouped texts with format `[BOS] X1 X2 X3 ...` (without [EOS])
text_ids = tokenizer(examples["prompt"], add_special_tokens=False)["input_ids"]
concatenated_ids = list(chain(*text_ids))
total_length = len(concatenated_ids)
block_size = data_args.max_source_length - 1
# we drop the small remainder, and if the total_length < block_size, we exclude this batch
total_length = (total_length // data_args.max_source_length) * data_args.max_source_length
total_length = (total_length // block_size) * block_size
# split by chunks of max_source_length
result = [concatenated_ids[i: i + data_args.max_source_length] for i in
range(0, total_length, data_args.max_source_length)]
result = [[tokenizer.bos_token_id] + concatenated_ids[i: i + block_size]
for i in range(0, total_length, block_size)]
return {
"input_ids": result,
"labels": result.copy()