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fix: drop long seq even if not sample packing #2211
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I swore someone just submitted a PR that was merged to remove this |
NanoCode012
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Jan 2, 2025
@@ -171,25 +172,42 @@ def add_length(sample): | |||
return sample | |||
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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 |
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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
Motivation and Context
How has this been tested?
Untested!
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