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[09:08:18] longeval: T=16384 prompt_len=4096 max_new=24 n=100 greedy=1 gpus=0,1,2,3
[09:08:18] haystack: /root/Adhi/BluTrain/dist/Context_Parallelism/lendata/haystack/b3val_haystack.bin
[09:08:18] prompt signature changed -- regenerating prompts and clearing state
[09:08:18] generating prompts: niah_single
niah_single 100 x 4096 tok -> lenb_len_4096/prompts/niah_single_prompts.bin
[09:08:19] generating prompts: val_backward
val_backward 100 x 4096 tok -> lenb_len_4096/prompts/val_backward_prompts.bin
[09:08:19] fan-out: 4 GPU(s), NP=1 -> 8 concurrent job(s)
[09:08:19] 6 job(s) to run
[09:08:19] [gpu 0] armA_c / niah_single
[09:08:19] [gpu 1] armA_c / val_backward
[09:08:19] [gpu 2] l1 / niah_single
[09:08:19] [gpu 3] l1 / val_backward
[09:08:19] [gpu 0] l2 / niah_single
[09:08:19] [gpu 1] l2 / val_backward
[09:16:07] scoring armA_c / niah_single
=== niah_single (prompt_len=4096, n=100) ===
accuracy: 84/100 = 84.0%
depth acc (needle position in context)
0.00 15/20 75.0%
0.25 17/20 85.0%
0.50 17/20 85.0%
0.75 17/20 85.0%
1.00 18/20 90.0%
--- 2 sample generations ---
[HIT ] expect=8056020
got= 8056020.\n
[HIT ] expect=5343902
got= 5343902.\n
wrote lenb_len_4096/scores/armA_c_niah_single.csv
[09:16:07] scoring armA_c / val_backward
=== val_backward (prompt_len=4096, n=100) ===
accuracy: 0/100 = 0.0%
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 0/20 0.0%
--- 2 sample generations ---
[MISS] expect=yarrow
got= the Zangoose.\n
[MISS] expect=cactus
got= the Zangoose.\n
wrote lenb_len_4096/scores/armA_c_val_backward.csv
[09:16:08] scoring l1 / niah_single
=== niah_single (prompt_len=4096, n=100) ===
accuracy: 88/100 = 88.0%
depth acc (needle position in context)
0.00 14/20 70.0%
0.25 20/20 100.0%
0.50 18/20 90.0%
0.75 17/20 85.0%
1.00 19/20 95.0%
--- 2 sample generations ---
[HIT ] expect=8056020
got= 80560202020202020202020202020202020202020202020
[HIT ] expect=5343902
got= 5343902.\n
wrote lenb_len_4096/scores/l1_niah_single.csv
[09:16:08] scoring l1 / val_backward
=== val_backward (prompt_len=4096, n=100) ===
accuracy: 0/100 = 0.0%
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 0/20 0.0%
--- 2 sample generations ---
[MISS] expect=yarrow
got= the Zangoose.\n
[MISS] expect=cactus
got= the item with the special magic number 5343902.\n
wrote lenb_len_4096/scores/l1_val_backward.csv
[09:16:08] scoring l2 / niah_single
=== niah_single (prompt_len=4096, n=100) ===
accuracy: 92/100 = 92.0%
depth acc (needle position in context)
0.00 18/20 90.0%
0.25 19/20 95.0%
0.50 18/20 90.0%
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_4096/scores/l2_niah_single.csv
[09:16:08] scoring l2 / val_backward
=== val_backward (prompt_len=4096, n=100) ===
accuracy: 0/100 = 0.0%
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 0/20 0.0%
--- 2 sample generations ---
[MISS] expect=yarrow
got= the Zangoose.\n
[MISS] expect=cactus
got= the Seviper.\n
wrote lenb_len_4096/scores/l2_val_backward.csv
[09:16:08] building summary
=== per-task accuracy % (secondary/descriptive: ~10 per depth cell) ===
task armA_c l1 l2
niah_single 84.0 88.0 92.0
val_backward 0.0 0.0 0.0
degenerate (<=1% for every model): ['val_backward']
=== PRIMARY: accuracy % pooled by depth across tasks (+-95% Wilson) ===
depth armA_c l1 l2
0.00 75.0+-17.8 70.0+-18.7 90.0+-13.7
0.25 85.0+-15.4 100.0+- 8.1 95.0+-11.4
0.50 85.0+-15.4 90.0+-13.7 90.0+-13.7
0.75 85.0+-15.4 85.0+-15.4 90.0+-13.7
1.00 90.0+-13.7 95.0+-11.4 95.0+-11.4
wrote lenb_len_4096/summary.csv and lenb_len_4096/depth_summary.csv
[09:16:08] DONE -> lenb_len_4096/summary.csv