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authorYuren Hao <yurenh2@illinois.edu>2026-08-02 13:01:43 -0500
committerYuren Hao <yurenh2@illinois.edu>2026-08-02 13:01:43 -0500
commit54dd6c5d7571e59bf5bbc389fb6bbf3ad43ded6a (patch)
treee9c43486b46dfa51daf2aa68feb537fed0ed07b7
parent70c6c3a02cb6d9106549232ec421d122502f4c0a (diff)
技术摘要更新: 72M真数字3.400 vs 3.397(+0.4%), 135M改为进行中(同进度持平); 全表统一尾窗口径并注明
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014FAPDWQ49M5Ye3NpTndTpn
-rw-r--r--docs/outreach/EPT_TECHNICAL_SUMMARY.pdfbin0 -> 24634 bytes
-rw-r--r--docs/outreach/EPT_TECHNICAL_SUMMARY.tex11
-rw-r--r--docs/outreach/EPT_TECHNICAL_SUMMARY_final.pdfbin29672 -> 29813 bytes
3 files changed, 7 insertions, 4 deletions
diff --git a/docs/outreach/EPT_TECHNICAL_SUMMARY.pdf b/docs/outreach/EPT_TECHNICAL_SUMMARY.pdf
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diff --git a/docs/outreach/EPT_TECHNICAL_SUMMARY.tex b/docs/outreach/EPT_TECHNICAL_SUMMARY.tex
index 4ac89fc..ebf4102 100644
--- a/docs/outreach/EPT_TECHNICAL_SUMMARY.tex
+++ b/docs/outreach/EPT_TECHNICAL_SUMMARY.tex
@@ -45,14 +45,17 @@ backprop seeds at 72M. Corpus is FineWeb-Edu with a 32k vocabulary.
11M & 4.194 & 4.197 & $-0.4\%$ (EP ahead)\\
18M & 3.945 & 3.933 & $+1.2\%$\\
36M & 3.649 & 3.648 & $+0.1\%$\\
-72M & rerun in progress & 3.288 & tracks the twins at matched progress\\
-135M & rerun queued & 3.090 & \\
+72M & 3.400 & 3.397 & $+0.4\%$\\
+135M & rerun in progress & 3.469 & level at matched progress\\
\bottomrule
\end{tabular}
\end{center}
-Differences at the first three sizes are smaller than the spread between seeds, so EP and
-backpropagation are statistically indistinguishable there. Wall clock cost of EP training in
+All values are tail window means over the last tenth of training, which is the statistic we quote
+everywhere. Every difference above is smaller than or comparable to the spread between backprop
+seeds, which is 0.003 in cross entropy at 72M, so EP and backpropagation are statistically
+indistinguishable at these sizes. The 135M entry compares both arms at the same point in an
+unfinished run and carries one seed per arm, so it is provisional. Wall clock cost of EP training in
simulation is about twice backpropagation. To our knowledge the 135M model is the largest language
model trained from scratch with no backpropagation at any layer.
diff --git a/docs/outreach/EPT_TECHNICAL_SUMMARY_final.pdf b/docs/outreach/EPT_TECHNICAL_SUMMARY_final.pdf
index 19de900..d764699 100644
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