Three Breadsticks: 1.1190 BPB (3-seed mean 1.1195)#656
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newjordan wants to merge 1 commit intoopenai:mainfrom
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Three Breadsticks: 1.1190 BPB (3-seed mean 1.1195)#656newjordan wants to merge 1 commit intoopenai:mainfrom
newjordan wants to merge 1 commit intoopenai:mainfrom
Conversation
11L/512d U-Net with leaky_relu_sq (slope 0.5), XSA last 4,
bigram 1536, legal score-first TTT (freeze_blocks=0, grad_clip=0.8).
3-seed results:
seed 1337: 1.1195 post-TTT (15.90MB)
seed 42: 1.1200 post-TTT (15.61MB)
seed 2045: 1.1190 post-TTT (15.81MB)
mean: 1.1195
Run: SEED=2045 MLP_ACT=leaky_relu_sq MLP_LEAKY_SLOPE=0.5 \
XSA_LAST_N=4 BIGRAM_VOCAB_SIZE=1536 \
TTT_FREEZE_BLOCKS=0 TTT_GRAD_CLIP=0.8 \
torchrun --nproc_per_node=8 train_gpt.py
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Contributor
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This submission dos not include a submission.json or train logs, so I can't verify it enough to score it. Additionally, from the training code it looks like it applies GPTQ with training data calibration at eval time, which is disallowed. Closing for now. |
Author
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The GPTQ concern is wrong — GPTQ runs during training, not eval. But we need to address it clearly. - you really went pretty hard on PR closing as opposing to let us siubmit the logs Valerio. I would appreciate a bit more nuance as you operate as a judge before closing a PR you assume with no log. its a very easy commit to add a log to a PR. We should be allowed to show proof before you close these. |
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Results
Progression
*single seed
Architecture
11L/512d U-Net, 26.93M params. GPTQ int6+zstd, legal score-first TTT.
Reproduce
8xH100 SXM, 600s wallclock, ~6,900 steps.