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fix: inconsistent tokenization by llama tokenizer #3006

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merged 2 commits into from
Feb 3, 2024
Merged

fix: inconsistent tokenization by llama tokenizer #3006

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e34bc7b
fix: inconsistent tokenization by llama tokenzier
congchan Feb 3, 2024
55c2258
explicitly set teh pad_token_id to unk_token_id
congchan Feb 3, 2024
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3 changes: 2 additions & 1 deletion fastchat/train/train_with_template.py
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Original file line number Diff line number Diff line change
Expand Up @@ -163,7 +163,7 @@ def mask_targets(conversations, targets, tokenizer, conv):
if i != 0:
turn = user_turn_separator + turn

turn_len = len(tokenizer(turn).input_ids)
turn_len = len(tokenizer(turn, add_special_tokens=False).input_ids)

if assistant_turn_separator in turn:
parts = turn.rsplit(assistant_turn_separator)
Expand Down Expand Up @@ -373,6 +373,7 @@ def train():
)
# NOTE: if the token_id exceed the vocab_size will cause failing in training process! we need add special config and resize the embedding size!
tokenizer.pad_token = tokenizer.unk_token
tokenizer.pad_token_id = tokenizer.unk_token_id
print(f"tokens len: {len(tokenizer)}")
model.resize_token_embeddings(len(tokenizer))

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