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fix: drop long seq even if not sample packing #2211

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Description

empti reported in discord https://discord.com/channels/1104757954588196865/1111279858136383509/1320021873878372436 that sequences are truncated not dropped if sample_packing is off. This PR tries to fix that. RL path seems fine, only SFT is missing.

[ ] Check for pretraining case
[ ] Check handling for if skip_prepare: True

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Untested!

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@winglian
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I swore someone just submitted a PR that was merged to remove this

@@ -171,25 +172,42 @@ def add_length(sample):
return sample


def drop_long_seq(sample, sequence_len=2048, min_sequence_len=2):
def drop_long_seq(sample, sequence_len=2048, min_sequence_len=None):
min_sequence_len = min_sequence_len or 2
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If we're defaulting here, should we just set the default within

min_sample_len: Optional[int] = None
to be more explicit?

@NanoCode012 NanoCode012 marked this pull request as ready for review January 2, 2025 06:24
@NanoCode012 NanoCode012 force-pushed the fix/drop_long_seq_if_not_packing branch from b884f98 to 0eaa579 Compare January 10, 2025 02:32
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2 participants