Record: 11L EMA + BigramHash(12288) + Mixed Int5 + FA3 (1.1354)#466
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simonbissonnette wants to merge 1 commit intoopenai:mainfrom
Open
Record: 11L EMA + BigramHash(12288) + Mixed Int5 + FA3 (1.1354)#466simonbissonnette wants to merge 1 commit intoopenai:mainfrom
simonbissonnette wants to merge 1 commit intoopenai:mainfrom
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12288 buckets is a nice bump over 10240, did you ablate that or just go bigger for the hell of it lol. also the fa3 kernel fetch disclosure is appreciated thats good practice |
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Thanks! After some initial quantization work, I ended up with a bit of spare artifact budget, so I used part of it to increase BigramHash and improve BPB. 12288 ended up being the best practical tradeoff for this submission after a few trial-and-error runs. It gave a real gain over the smaller setting while still keeping all 3 submission seeds under the 16 MB cap. |
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Summary
This PR adds a main-track submission attempt for the Parameter Golf challenge based on an 11-layer, 512-dim model with:
0.997)12288, dim128)3-Seed Results
1.13593695val_bpb,15,967,704bytes total1.13389376val_bpb,15,663,365bytes total1.13626774val_bpb,15,660,237bytes total1.1353660.001286Notes
train_gpt.pysnapshot and the same hyperparameter recipe, differing only by seed.kernels-community/flash-attn3, which fetches the FA3 kernel package at runtime.