[16:41:10] longeval: T=16384 prompt_len=4096 max_new=24 n=100 greedy=1 gpus=0,1 [16:41:10] haystack: /root/Adhi/BluTrain/dist/Context_Parallelism/lendata/haystack/b2val_haystack.bin [16:41:10] fan-out: 2 GPU(s), NP=1 -> 4 concurrent job(s) [16:41:10] armA_c/niah_single already generated [16:41:10] l1/niah_single already generated [16:41:10] l2/niah_single already generated [16:41:10] l3/niah_single already generated [16:41:10] l3long/niah_single already generated [16:41:10] 1 job(s) to run [16:41:10] [gpu 0] l3long2k / niah_single [16:42:35] scoring l3long2k / niah_single === niah_single (prompt_len=4096, n=100) === accuracy: 68/100 = 68.0% depth acc (needle position in context) 0.00 11/20 55.0% 0.25 15/20 75.0% 0.50 10/20 50.0% 0.75 14/20 70.0% 1.00 18/20 90.0% --- 2 sample generations --- [HIT ] expect=8056020 got= 805602020.\n [HIT ] expect=5343902 got= 5343902.\n wrote decide_len_4096/scores/l3long2k_niah_single.csv [16:42:35] building summary === per-task accuracy % (secondary/descriptive: ~10 per depth cell) === task armA_c l1 l2 l3 l3long l3long2k niah_single 73.0 75.0 80.0 74.0 65.0 68.0 === PRIMARY: accuracy % pooled by depth across tasks (+-95% Wilson) === depth armA_c l1 l2 l3 l3long l3long2k 0.00 55.0+-20.0 50.0+-20.1 75.0+-17.8 65.0+-19.3 35.0+-19.3 55.0+-20.0 0.25 70.0+-18.7 80.0+-16.8 85.0+-15.4 85.0+-15.4 75.0+-17.8 75.0+-17.8 0.50 50.0+-20.1 60.0+-19.7 60.0+-19.7 50.0+-20.1 55.0+-20.0 50.0+-20.1 0.75 95.0+-11.4 95.0+-11.4 90.0+-13.7 80.0+-16.8 85.0+-15.4 70.0+-18.7 1.00 95.0+-11.4 90.0+-13.7 90.0+-13.7 90.0+-13.7 75.0+-17.8 90.0+-13.7 wrote decide_len_4096/summary.csv and decide_len_4096/depth_summary.csv [16:42:35] DONE -> decide_len_4096/summary.csv