Record: PR #1105 + window attn + mixed seq_len — 1.1084 bpb (3-seed mean) 1.1084 bpb#1219
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Gusanidas wants to merge 1 commit intoopenai:mainfrom
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Record: PR #1105 + window attn + mixed seq_len — 1.1084 bpb (3-seed mean) 1.1084 bpb#1219Gusanidas wants to merge 1 commit intoopenai:mainfrom
Gusanidas wants to merge 1 commit intoopenai:mainfrom
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Based on PR openai#1105 (abaybektursun) with improvements: - Window attention (size=512) on layers 2,4,6,8,10 via FA3 - Mixed seq_len training: 5 GPUs at 2048x36 + 3 GPUs at 6144x10 - Train-data GPTQ calibration (14s vs 220s AR self-gen) - Auto eval_seq_len detection from max train seq_len - Causal n-gram fix (within_hint/word_hint prefix-only) - Sliding window eval at seq_len=6144, stride=128 3-seed results (sliding window bpb): seed 1337: 1.1077 seed 42: 1.1083 seed 7: 1.1091 mean: 1.1084 (vs leader 1.1147) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Based on PR #1105 (abaybektursun) with this changes:
3-seed results (sliding window bpb):
seed 1337: 1.1077
seed 42: 1.1083
seed 7: 1.1091
mean: 1.1084 (vs leader 1.1147)
It has plenty of room to be further optimized