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[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