[09:01:59] longeval: T=16384 prompt_len=2048 max_new=24 n=100 greedy=1 gpus=0,1,2,3 [09:01:59] haystack: /root/Adhi/BluTrain/dist/Context_Parallelism/lendata/haystack/b3val_haystack.bin [09:01:59] prompt signature changed -- regenerating prompts and clearing state [09:01:59] generating prompts: niah_single niah_single 100 x 2048 tok -> lenb_len_2048/prompts/niah_single_prompts.bin [09:02:00] generating prompts: val_backward val_backward 100 x 2048 tok -> lenb_len_2048/prompts/val_backward_prompts.bin [09:02:00] fan-out: 4 GPU(s), NP=1 -> 8 concurrent job(s) [09:02:00] 6 job(s) to run [09:02:00] [gpu 0] armA_c / niah_single [09:02:00] [gpu 1] armA_c / val_backward [09:02:00] [gpu 2] l1 / niah_single [09:02:00] [gpu 3] l1 / val_backward [09:02:00] [gpu 0] l2 / niah_single [09:02:00] [gpu 1] l2 / val_backward [09:08:17] scoring armA_c / niah_single === niah_single (prompt_len=2048, n=100) === accuracy: 94/100 = 94.0% depth acc (needle position in context) 0.00 18/20 90.0% 0.25 18/20 90.0% 0.50 20/20 100.0% 0.75 19/20 95.0% 1.00 19/20 95.0% --- 2 sample generations --- [HIT ] expect=8056020 got= 80560202020202020202020202020202020202020202020 [HIT ] expect=5343902 got= 5343902.\n wrote lenb_len_2048/scores/armA_c_niah_single.csv [09:08:17] scoring armA_c / val_backward === val_backward (prompt_len=2048, n=100) === accuracy: 2/100 = 2.0% depth acc (needle position in context) 0.00 0/20 0.0% 0.25 1/20 5.0% 0.50 1/20 5.0% 0.75 0/20 0.0% 1.00 0/20 0.0% --- 2 sample generations --- [MISS] expect=yarrow got= the Zangoose.\n [MISS] expect=cactus got= the Zangoose.\n wrote lenb_len_2048/scores/armA_c_val_backward.csv [09:08:17] scoring l1 / niah_single === niah_single (prompt_len=2048, n=100) === accuracy: 96/100 = 96.0% depth acc (needle position in context) 0.00 19/20 95.0% 0.25 18/20 90.0% 0.50 20/20 100.0% 0.75 20/20 100.0% 1.00 19/20 95.0% --- 2 sample generations --- [HIT ] expect=8056020 got= 80560202020202020202020202020202020202020202020 [HIT ] expect=5343902 got= 5343902.\n wrote lenb_len_2048/scores/l1_niah_single.csv [09:08:18] scoring l1 / val_backward === val_backward (prompt_len=2048, n=100) === accuracy: 2/100 = 2.0% depth acc (needle position in context) 0.00 0/20 0.0% 0.25 1/20 5.0% 0.50 0/20 0.0% 0.75 0/20 0.0% 1.00 1/20 5.0% --- 2 sample generations --- [MISS] expect=yarrow got= the one that has the special magic number 8056020.\n [MISS] expect=cactus got= the Zangoose.\n wrote lenb_len_2048/scores/l1_val_backward.csv [09:08:18] scoring l2 / niah_single === niah_single (prompt_len=2048, n=100) === accuracy: 94/100 = 94.0% depth acc (needle position in context) 0.00 20/20 100.0% 0.25 18/20 90.0% 0.50 19/20 95.0% 0.75 18/20 90.0% 1.00 19/20 95.0% --- 2 sample generations --- [HIT ] expect=8056020 got= 80560202020202020202020202020202020202020202020 [HIT ] expect=5343902 got= 5343902.\n wrote lenb_len_2048/scores/l2_niah_single.csv [09:08:18] scoring l2 / val_backward === val_backward (prompt_len=2048, n=100) === accuracy: 1/100 = 1.0% depth acc (needle position in context) 0.00 0/20 0.0% 0.25 0/20 0.0% 0.50 0/20 0.0% 0.75 0/20 0.0% 1.00 1/20 5.0% --- 2 sample generations --- [MISS] expect=yarrow got= the Zangoose.\n [MISS] expect=cactus got= the Zangoose.\n wrote lenb_len_2048/scores/l2_val_backward.csv [09:08:18] building summary === per-task accuracy % (secondary/descriptive: ~10 per depth cell) === task armA_c l1 l2 niah_single 94.0 96.0 94.0 val_backward 2.0 2.0 1.0 === PRIMARY: accuracy % pooled by depth across tasks (+-95% Wilson) === depth armA_c l1 l2 0.00 45.0+-14.7 47.5+-14.8 50.0+-14.8 0.25 47.5+-14.8 47.5+-14.8 45.0+-14.7 0.50 52.5+-14.8 50.0+-14.8 47.5+-14.8 0.75 47.5+-14.8 50.0+-14.8 45.0+-14.7 1.00 47.5+-14.8 50.0+-14.8 50.0+-14.8 wrote lenb_len_2048/summary.csv and lenb_len_2048/depth_summary.csv [09:08:18] DONE -> lenb_len_2048/summary.csv