data: backfill v2 + baseline benchmark evidence (evalplus samples + arc/hs/mmlu)

benchmark_results/cerebellum_v2_arc_results.json

@@ -0,0 +1,8 @@
+{
+  "benchmark": "arc_challenge",
+  "model": "cerebellum_v2",
+  "accuracy": 91.3,
+  "total": 1172,
+  "elapsed_seconds": 131.0,
+  "timestamp": "2026-05-05 02:39"
+}

benchmark_results/cerebellum_v2_arc_run.log

@@ -0,0 +1,1183 @@
+ARC-CHALLENGE BENCHMARK — cerebellum_v2
+Loading questions...
+Loaded 1172 questions
+Workers: 4
+  [   1/1172] 100.0% accuracy, 1.4 q/s, ETA 826s
+  [   2/1172] 100.0% accuracy, 2.8 q/s, ETA 413s
+  [   3/1172] 100.0% accuracy, 4.3 q/s, ETA 275s
+  [   4/1172] 100.0% accuracy, 5.7 q/s, ETA 206s
+  [   5/1172] 80.0% accuracy, 4.0 q/s, ETA 295s
+  [   6/1172] 66.7% accuracy, 4.7 q/s, ETA 246s
+  [   7/1172] 71.4% accuracy, 5.5 q/s, ETA 211s
+  [   8/1172] 75.0% accuracy, 6.3 q/s, ETA 184s
+  [   9/1172] 77.8% accuracy, 5.0 q/s, ETA 233s
+  [  10/1172] 80.0% accuracy, 5.6 q/s, ETA 209s
+  [  11/1172] 81.8% accuracy, 6.1 q/s, ETA 190s
+  [  12/1172] 83.3% accuracy, 6.7 q/s, ETA 174s
+  [  13/1172] 84.6% accuracy, 5.9 q/s, ETA 197s
+  [  14/1172] 85.7% accuracy, 6.3 q/s, ETA 183s
+  [  15/1172] 86.7% accuracy, 6.8 q/s, ETA 170s
+  [  16/1172] 87.5% accuracy, 7.2 q/s, ETA 159s
+  [  17/1172] 88.2% accuracy, 6.3 q/s, ETA 185s
+  [  18/1172] 88.9% accuracy, 6.6 q/s, ETA 174s
+  [  19/1172] 89.5% accuracy, 7.0 q/s, ETA 165s
+  [  20/1172] 90.0% accuracy, 7.4 q/s, ETA 157s
+  [  21/1172] 90.5% accuracy, 6.5 q/s, ETA 177s
+  [  22/1172] 90.9% accuracy, 6.8 q/s, ETA 169s
+  [  23/1172] 91.3% accuracy, 7.1 q/s, ETA 161s
+  [  24/1172] 91.7% accuracy, 7.4 q/s, ETA 154s
+  [  25/1172] 92.0% accuracy, 6.8 q/s, ETA 169s
+  [  26/1172] 92.3% accuracy, 7.1 q/s, ETA 162s
+  [  27/1172] 92.6% accuracy, 7.3 q/s, ETA 156s
+  [  28/1172] 92.9% accuracy, 7.6 q/s, ETA 151s
+  [  29/1172] 93.1% accuracy, 7.0 q/s, ETA 163s
+  [  30/1172] 93.3% accuracy, 7.3 q/s, ETA 157s
+  [  31/1172] 93.5% accuracy, 7.5 q/s, ETA 152s
+  [  32/1172] 93.8% accuracy, 7.8 q/s, ETA 147s
+  [  33/1172] 93.9% accuracy, 7.2 q/s, ETA 158s
+  [  34/1172] 94.1% accuracy, 7.4 q/s, ETA 153s
+  [  35/1172] 94.3% accuracy, 7.7 q/s, ETA 149s
+  [  36/1172] 94.4% accuracy, 7.9 q/s, ETA 144s
+  [  37/1172] 94.6% accuracy, 7.4 q/s, ETA 154s
+  [  38/1172] 94.7% accuracy, 7.6 q/s, ETA 150s
+  [  39/1172] 94.9% accuracy, 7.8 q/s, ETA 146s
+  [  40/1172] 95.0% accuracy, 8.0 q/s, ETA 142s
+  [  41/1172] 95.1% accuracy, 7.5 q/s, ETA 150s
+  [  42/1172] 95.2% accuracy, 7.7 q/s, ETA 148s
+  [  43/1172] 95.3% accuracy, 7.8 q/s, ETA 144s
+  [  44/1172] 95.5% accuracy, 8.0 q/s, ETA 141s
+  [  45/1172] 93.3% accuracy, 7.7 q/s, ETA 147s
+  [  46/1172] 93.5% accuracy, 7.8 q/s, ETA 144s
+  [  47/1172] 93.6% accuracy, 8.0 q/s, ETA 141s
+  [  48/1172] 93.8% accuracy, 8.1 q/s, ETA 138s
+  [  49/1172] 93.9% accuracy, 7.8 q/s, ETA 144s
+  [  50/1172] 92.0% accuracy, 7.9 q/s, ETA 141s
+  [  51/1172] 92.2% accuracy, 8.1 q/s, ETA 138s
+  [  52/1172] 92.3% accuracy, 8.3 q/s, ETA 136s
+  [  53/1172] 92.5% accuracy, 7.9 q/s, ETA 142s
+  [  54/1172] 92.6% accuracy, 8.0 q/s, ETA 140s
+  [  55/1172] 90.9% accuracy, 8.2 q/s, ETA 137s
+  [  56/1172] 91.1% accuracy, 8.3 q/s, ETA 134s
+  [  57/1172] 91.2% accuracy, 7.9 q/s, ETA 141s
+  [  58/1172] 91.4% accuracy, 8.0 q/s, ETA 138s
+  [  59/1172] 91.5% accuracy, 8.2 q/s, ETA 136s
+  [  60/1172] 91.7% accuracy, 8.3 q/s, ETA 134s
+  [  61/1172] 91.8% accuracy, 8.0 q/s, ETA 139s
+  [  62/1172] 91.9% accuracy, 8.1 q/s, ETA 136s
+  [  63/1172] 92.1% accuracy, 8.3 q/s, ETA 134s
+  [  64/1172] 92.2% accuracy, 8.4 q/s, ETA 132s
+  [  65/1172] 90.8% accuracy, 8.0 q/s, ETA 138s
+  [  66/1172] 90.9% accuracy, 8.1 q/s, ETA 136s
+  [  67/1172] 91.0% accuracy, 8.3 q/s, ETA 134s
+  [  68/1172] 89.7% accuracy, 8.4 q/s, ETA 132s
+  [  69/1172] 89.9% accuracy, 8.1 q/s, ETA 136s
+  [  70/1172] 88.6% accuracy, 8.2 q/s, ETA 134s
+  [  71/1172] 88.7% accuracy, 8.1 q/s, ETA 136s
+  [  72/1172] 88.9% accuracy, 8.2 q/s, ETA 134s
+  [  73/1172] 89.0% accuracy, 8.2 q/s, ETA 133s
+  [  74/1172] 89.2% accuracy, 8.3 q/s, ETA 132s
+  [  75/1172] 89.3% accuracy, 8.5 q/s, ETA 130s
+  [  76/1172] 89.5% accuracy, 8.2 q/s, ETA 134s
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+  [  80/1172] 90.0% accuracy, 8.2 q/s, ETA 133s
+  [  81/1172] 90.1% accuracy, 8.3 q/s, ETA 131s
+  [  82/1172] 90.2% accuracy, 8.4 q/s, ETA 129s
+  [  83/1172] 90.4% accuracy, 8.5 q/s, ETA 128s
+  [  84/1172] 90.5% accuracy, 8.2 q/s, ETA 132s
+  [  85/1172] 90.6% accuracy, 8.3 q/s, ETA 131s
+  [  86/1172] 90.7% accuracy, 8.4 q/s, ETA 129s
+  [  87/1172] 90.8% accuracy, 8.5 q/s, ETA 127s
+  [  88/1172] 90.9% accuracy, 8.3 q/s, ETA 131s
+  [  89/1172] 89.9% accuracy, 8.3 q/s, ETA 130s
+  [  90/1172] 90.0% accuracy, 8.4 q/s, ETA 128s
+  [  91/1172] 90.1% accuracy, 8.5 q/s, ETA 127s
+  [  92/1172] 90.2% accuracy, 8.2 q/s, ETA 131s
+  [  93/1172] 90.3% accuracy, 8.3 q/s, ETA 130s
+  [  94/1172] 90.4% accuracy, 8.4 q/s, ETA 128s
+  [  95/1172] 90.5% accuracy, 8.5 q/s, ETA 127s
+  [  96/1172] 90.6% accuracy, 8.3 q/s, ETA 130s
+  [  97/1172] 90.7% accuracy, 8.4 q/s, ETA 128s
+  [  98/1172] 90.8% accuracy, 8.5 q/s, ETA 127s
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+  [ 100/1172] 91.0% accuracy, 8.3 q/s, ETA 129s
+  [ 101/1172] 91.1% accuracy, 8.4 q/s, ETA 128s
+  [ 102/1172] 91.2% accuracy, 8.5 q/s, ETA 126s
+  [ 103/1172] 91.3% accuracy, 8.6 q/s, ETA 125s
+  [ 104/1172] 91.3% accuracy, 8.3 q/s, ETA 128s
+  [ 105/1172] 91.4% accuracy, 8.4 q/s, ETA 127s
+  [ 106/1172] 91.5% accuracy, 8.5 q/s, ETA 125s
+  [ 107/1172] 91.6% accuracy, 8.6 q/s, ETA 124s
+  [ 108/1172] 91.7% accuracy, 8.4 q/s, ETA 127s
+  [ 109/1172] 91.7% accuracy, 8.5 q/s, ETA 126s
+  [ 110/1172] 91.8% accuracy, 8.5 q/s, ETA 125s
+  [ 111/1172] 91.0% accuracy, 8.6 q/s, ETA 124s
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+  [ 150/1172] 90.7% accuracy, 8.8 q/s, ETA 116s
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+  [ 290/1172] 91.7% accuracy, 8.9 q/s, ETA 99s
+  [ 291/1172] 91.8% accuracy, 8.9 q/s, ETA 98s
+  [ 292/1172] 91.8% accuracy, 8.9 q/s, ETA 99s
+  [ 293/1172] 91.8% accuracy, 8.9 q/s, ETA 99s
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+  [ 295/1172] 91.9% accuracy, 8.9 q/s, ETA 98s
+  [ 296/1172] 91.9% accuracy, 8.9 q/s, ETA 99s
+  [ 297/1172] 91.9% accuracy, 8.9 q/s, ETA 98s
+  [ 298/1172] 91.9% accuracy, 8.9 q/s, ETA 98s
+  [ 299/1172] 92.0% accuracy, 9.0 q/s, ETA 97s
+  [ 300/1172] 92.0% accuracy, 8.9 q/s, ETA 98s
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+  [ 302/1172] 92.1% accuracy, 8.9 q/s, ETA 97s
+  [ 303/1172] 92.1% accuracy, 9.0 q/s, ETA 97s
+  [ 304/1172] 92.1% accuracy, 8.9 q/s, ETA 98s
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+  [ 307/1172] 92.2% accuracy, 9.0 q/s, ETA 97s
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+  [ 312/1172] 92.0% accuracy, 8.9 q/s, ETA 97s
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+  [ 315/1172] 92.1% accuracy, 9.0 q/s, ETA 96s
+  [ 316/1172] 92.1% accuracy, 8.8 q/s, ETA 97s
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+  [ 320/1172] 91.9% accuracy, 8.9 q/s, ETA 96s
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+  [ 355/1172] 92.1% accuracy, 8.9 q/s, ETA 92s
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+  [ 363/1172] 92.3% accuracy, 8.9 q/s, ETA 91s
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+  [ 590/1172] 91.5% accuracy, 8.9 q/s, ETA 65s
+  [ 591/1172] 91.5% accuracy, 8.9 q/s, ETA 66s
+  [ 592/1172] 91.6% accuracy, 8.9 q/s, ETA 65s
+  [ 593/1172] 91.6% accuracy, 8.9 q/s, ETA 65s
+  [ 594/1172] 91.6% accuracy, 8.9 q/s, ETA 65s
+  [ 595/1172] 91.6% accuracy, 8.9 q/s, ETA 65s
+  [ 596/1172] 91.6% accuracy, 8.9 q/s, ETA 65s
+  [ 597/1172] 91.6% accuracy, 8.9 q/s, ETA 65s
+  [ 598/1172] 91.5% accuracy, 8.9 q/s, ETA 64s
+  [ 599/1172] 91.5% accuracy, 8.9 q/s, ETA 65s
+  [ 600/1172] 91.5% accuracy, 8.9 q/s, ETA 64s
+  [ 601/1172] 91.5% accuracy, 8.9 q/s, ETA 64s
+  [ 602/1172] 91.5% accuracy, 8.9 q/s, ETA 64s
+  [ 603/1172] 91.5% accuracy, 8.9 q/s, ETA 64s
+  [ 604/1172] 91.6% accuracy, 8.9 q/s, ETA 64s
+  [ 605/1172] 91.6% accuracy, 8.9 q/s, ETA 64s
+  [ 606/1172] 91.6% accuracy, 8.9 q/s, ETA 64s
+  [ 607/1172] 91.6% accuracy, 8.9 q/s, ETA 64s
+  [ 608/1172] 91.4% accuracy, 8.9 q/s, ETA 64s
+  [ 609/1172] 91.5% accuracy, 8.9 q/s, ETA 63s
+  [ 610/1172] 91.5% accuracy, 8.9 q/s, ETA 63s
+  [ 611/1172] 91.5% accuracy, 8.9 q/s, ETA 63s
+  [ 612/1172] 91.5% accuracy, 8.9 q/s, ETA 63s
+  [ 613/1172] 91.5% accuracy, 8.9 q/s, ETA 63s
+  [ 614/1172] 91.5% accuracy, 8.9 q/s, ETA 63s
+  [ 615/1172] 91.5% accuracy, 8.9 q/s, ETA 63s
+  [ 616/1172] 91.6% accuracy, 8.9 q/s, ETA 63s
+  [ 617/1172] 91.6% accuracy, 8.9 q/s, ETA 62s
+  [ 618/1172] 91.6% accuracy, 8.9 q/s, ETA 62s
+  [ 619/1172] 91.6% accuracy, 8.9 q/s, ETA 62s
+  [ 620/1172] 91.6% accuracy, 8.9 q/s, ETA 62s
+  [ 621/1172] 91.6% accuracy, 8.9 q/s, ETA 62s
+  [ 622/1172] 91.6% accuracy, 8.9 q/s, ETA 62s
+  [ 623/1172] 91.7% accuracy, 8.9 q/s, ETA 62s
+  [ 624/1172] 91.7% accuracy, 8.9 q/s, ETA 62s
+  [ 625/1172] 91.7% accuracy, 8.9 q/s, ETA 62s
+  [ 626/1172] 91.7% accuracy, 8.9 q/s, ETA 61s
+  [ 627/1172] 91.7% accuracy, 8.9 q/s, ETA 61s
+  [ 628/1172] 91.7% accuracy, 8.9 q/s, ETA 61s
+  [ 629/1172] 91.7% accuracy, 8.9 q/s, ETA 61s
+  [ 630/1172] 91.6% accuracy, 8.9 q/s, ETA 61s
+  [ 631/1172] 91.6% accuracy, 8.9 q/s, ETA 61s
+  [ 632/1172] 91.6% accuracy, 8.9 q/s, ETA 61s
+  [ 633/1172] 91.6% accuracy, 8.9 q/s, ETA 60s
+  [ 634/1172] 91.6% accuracy, 8.9 q/s, ETA 61s
+  [ 635/1172] 91.7% accuracy, 8.9 q/s, ETA 60s
+  [ 636/1172] 91.7% accuracy, 8.9 q/s, ETA 60s
+  [ 637/1172] 91.7% accuracy, 8.9 q/s, ETA 60s
+  [ 638/1172] 91.7% accuracy, 8.9 q/s, ETA 60s
+  [ 639/1172] 91.7% accuracy, 8.9 q/s, ETA 60s
+  [ 640/1172] 91.7% accuracy, 8.9 q/s, ETA 60s
+  [ 641/1172] 91.7% accuracy, 8.9 q/s, ETA 60s
+  [ 642/1172] 91.7% accuracy, 8.9 q/s, ETA 60s
+  [ 643/1172] 91.8% accuracy, 8.9 q/s, ETA 60s
+  [ 644/1172] 91.8% accuracy, 8.9 q/s, ETA 59s
+  [ 645/1172] 91.8% accuracy, 8.9 q/s, ETA 59s
+  [ 646/1172] 91.8% accuracy, 8.9 q/s, ETA 59s
+  [ 647/1172] 91.8% accuracy, 8.9 q/s, ETA 59s
+  [ 648/1172] 91.7% accuracy, 8.9 q/s, ETA 59s
+  [ 649/1172] 91.7% accuracy, 8.9 q/s, ETA 59s
+  [ 650/1172] 91.7% accuracy, 8.9 q/s, ETA 59s
+  [ 651/1172] 91.7% accuracy, 8.9 q/s, ETA 59s
+  [ 652/1172] 91.7% accuracy, 8.9 q/s, ETA 58s
+  [ 653/1172] 91.7% accuracy, 8.9 q/s, ETA 58s
+  [ 654/1172] 91.7% accuracy, 8.9 q/s, ETA 58s
+  [ 655/1172] 91.6% accuracy, 8.9 q/s, ETA 58s
+  [ 656/1172] 91.6% accuracy, 8.9 q/s, ETA 58s
+  [ 657/1172] 91.6% accuracy, 8.9 q/s, ETA 58s
+  [ 658/1172] 91.6% accuracy, 8.9 q/s, ETA 58s
+  [ 659/1172] 91.7% accuracy, 8.9 q/s, ETA 58s
+  [ 660/1172] 91.7% accuracy, 8.9 q/s, ETA 58s
+  [ 661/1172] 91.7% accuracy, 8.9 q/s, ETA 57s
+  [ 662/1172] 91.7% accuracy, 8.9 q/s, ETA 58s
+  [ 663/1172] 91.7% accuracy, 8.9 q/s, ETA 57s
+  [ 664/1172] 91.6% accuracy, 8.9 q/s, ETA 57s
+  [ 665/1172] 91.6% accuracy, 8.9 q/s, ETA 57s
+  [ 666/1172] 91.6% accuracy, 8.9 q/s, ETA 57s
+  [ 667/1172] 91.6% accuracy, 8.9 q/s, ETA 57s
+  [ 668/1172] 91.6% accuracy, 8.9 q/s, ETA 57s
+  [ 669/1172] 91.6% accuracy, 8.9 q/s, ETA 57s
+  [ 670/1172] 91.6% accuracy, 8.9 q/s, ETA 57s
+  [ 671/1172] 91.5% accuracy, 8.9 q/s, ETA 56s
+  [ 672/1172] 91.5% accuracy, 8.9 q/s, ETA 56s
+  [ 673/1172] 91.5% accuracy, 8.9 q/s, ETA 56s
+  [ 674/1172] 91.5% accuracy, 8.9 q/s, ETA 56s
+  [ 675/1172] 91.6% accuracy, 8.9 q/s, ETA 56s
+  [ 676/1172] 91.6% accuracy, 8.9 q/s, ETA 56s
+  [ 677/1172] 91.6% accuracy, 8.9 q/s, ETA 56s
+  [ 678/1172] 91.6% accuracy, 8.9 q/s, ETA 56s
+  [ 679/1172] 91.6% accuracy, 8.9 q/s, ETA 55s
+  [ 680/1172] 91.6% accuracy, 8.9 q/s, ETA 55s
+  [ 681/1172] 91.6% accuracy, 8.9 q/s, ETA 55s
+  [ 682/1172] 91.6% accuracy, 8.9 q/s, ETA 55s
+  [ 683/1172] 91.7% accuracy, 8.9 q/s, ETA 55s
+  [ 684/1172] 91.7% accuracy, 8.9 q/s, ETA 55s
+  [ 685/1172] 91.7% accuracy, 8.9 q/s, ETA 55s
+  [ 686/1172] 91.7% accuracy, 8.9 q/s, ETA 55s
+  [ 687/1172] 91.7% accuracy, 8.9 q/s, ETA 54s
+  [ 688/1172] 91.7% accuracy, 8.9 q/s, ETA 54s
+  [ 689/1172] 91.7% accuracy, 8.9 q/s, ETA 54s
+  [ 690/1172] 91.7% accuracy, 8.9 q/s, ETA 54s
+  [ 691/1172] 91.8% accuracy, 8.9 q/s, ETA 54s
+  [ 692/1172] 91.8% accuracy, 8.9 q/s, ETA 54s
+  [ 693/1172] 91.8% accuracy, 8.9 q/s, ETA 54s
+  [ 694/1172] 91.8% accuracy, 8.9 q/s, ETA 54s
+  [ 695/1172] 91.8% accuracy, 8.9 q/s, ETA 54s
+  [ 696/1172] 91.8% accuracy, 8.9 q/s, ETA 53s
+  [ 697/1172] 91.8% accuracy, 8.9 q/s, ETA 53s
+  [ 698/1172] 91.8% accuracy, 8.9 q/s, ETA 53s
+  [ 699/1172] 91.8% accuracy, 8.9 q/s, ETA 53s
+  [ 700/1172] 91.9% accuracy, 8.9 q/s, ETA 53s
+  [ 701/1172] 91.9% accuracy, 8.9 q/s, ETA 53s
+  [ 702/1172] 91.9% accuracy, 8.9 q/s, ETA 53s
+  [ 703/1172] 91.9% accuracy, 8.9 q/s, ETA 53s
+  [ 704/1172] 91.9% accuracy, 8.9 q/s, ETA 52s
+  [ 705/1172] 91.9% accuracy, 8.9 q/s, ETA 52s
+  [ 706/1172] 91.9% accuracy, 8.9 q/s, ETA 52s
+  [ 707/1172] 91.9% accuracy, 8.9 q/s, ETA 52s
+  [ 708/1172] 91.8% accuracy, 8.9 q/s, ETA 52s
+  [ 709/1172] 91.8% accuracy, 8.9 q/s, ETA 52s
+  [ 710/1172] 91.8% accuracy, 8.9 q/s, ETA 52s
+  [ 711/1172] 91.8% accuracy, 8.9 q/s, ETA 52s
+  [ 712/1172] 91.9% accuracy, 8.9 q/s, ETA 52s
+  [ 713/1172] 91.7% accuracy, 8.9 q/s, ETA 51s
+  [ 714/1172] 91.7% accuracy, 8.9 q/s, ETA 51s
+  [ 715/1172] 91.7% accuracy, 8.9 q/s, ETA 51s
+  [ 716/1172] 91.8% accuracy, 8.9 q/s, ETA 51s
+  [ 717/1172] 91.8% accuracy, 8.9 q/s, ETA 51s
+  [ 718/1172] 91.8% accuracy, 8.9 q/s, ETA 51s
+  [ 719/1172] 91.8% accuracy, 8.9 q/s, ETA 51s
+  [ 720/1172] 91.8% accuracy, 8.9 q/s, ETA 51s
+  [ 721/1172] 91.8% accuracy, 8.9 q/s, ETA 50s
+  [ 722/1172] 91.8% accuracy, 8.9 q/s, ETA 50s
+  [ 723/1172] 91.8% accuracy, 8.9 q/s, ETA 50s
+  [ 724/1172] 91.9% accuracy, 8.9 q/s, ETA 50s
+  [ 725/1172] 91.9% accuracy, 8.9 q/s, ETA 50s
+  [ 726/1172] 91.9% accuracy, 8.9 q/s, ETA 50s
+  [ 727/1172] 91.9% accuracy, 8.9 q/s, ETA 50s
+  [ 728/1172] 91.9% accuracy, 8.9 q/s, ETA 50s
+  [ 729/1172] 91.9% accuracy, 9.0 q/s, ETA 49s
+  [ 730/1172] 91.9% accuracy, 8.9 q/s, ETA 50s
+  [ 731/1172] 91.9% accuracy, 8.9 q/s, ETA 49s
+  [ 732/1172] 91.9% accuracy, 8.9 q/s, ETA 49s
+  [ 733/1172] 92.0% accuracy, 8.9 q/s, ETA 49s
+  [ 734/1172] 92.0% accuracy, 8.9 q/s, ETA 49s
+  [ 735/1172] 92.0% accuracy, 8.9 q/s, ETA 49s
+  [ 736/1172] 91.8% accuracy, 8.9 q/s, ETA 49s
+  [ 737/1172] 91.9% accuracy, 8.9 q/s, ETA 49s
+  [ 738/1172] 91.9% accuracy, 8.9 q/s, ETA 49s
+  [ 739/1172] 91.9% accuracy, 8.9 q/s, ETA 49s
+  [ 740/1172] 91.9% accuracy, 8.9 q/s, ETA 48s
+  [ 741/1172] 91.9% accuracy, 9.0 q/s, ETA 48s
+  [ 742/1172] 91.9% accuracy, 8.9 q/s, ETA 48s
+  [ 743/1172] 91.9% accuracy, 8.9 q/s, ETA 48s
+  [ 744/1172] 91.9% accuracy, 8.9 q/s, ETA 48s
+  [ 745/1172] 91.8% accuracy, 8.9 q/s, ETA 48s
+  [ 746/1172] 91.8% accuracy, 8.9 q/s, ETA 48s
+  [ 747/1172] 91.7% accuracy, 8.9 q/s, ETA 48s
+  [ 748/1172] 91.7% accuracy, 8.9 q/s, ETA 47s
+  [ 749/1172] 91.7% accuracy, 8.9 q/s, ETA 47s
+  [ 750/1172] 91.7% accuracy, 8.9 q/s, ETA 47s
+  [ 751/1172] 91.7% accuracy, 8.9 q/s, ETA 47s
+  [ 752/1172] 91.8% accuracy, 8.9 q/s, ETA 47s
+  [ 753/1172] 91.8% accuracy, 9.0 q/s, ETA 47s
+  [ 754/1172] 91.8% accuracy, 8.9 q/s, ETA 47s
+  [ 755/1172] 91.8% accuracy, 8.9 q/s, ETA 47s
+  [ 756/1172] 91.7% accuracy, 8.9 q/s, ETA 47s
+  [ 757/1172] 91.7% accuracy, 9.0 q/s, ETA 46s
+  [ 758/1172] 91.7% accuracy, 8.9 q/s, ETA 46s
+  [ 759/1172] 91.7% accuracy, 8.9 q/s, ETA 46s
+  [ 760/1172] 91.7% accuracy, 8.9 q/s, ETA 46s
+  [ 761/1172] 91.7% accuracy, 9.0 q/s, ETA 46s
+  [ 762/1172] 91.7% accuracy, 8.9 q/s, ETA 46s
+  [ 763/1172] 91.7% accuracy, 8.9 q/s, ETA 46s
+  [ 764/1172] 91.8% accuracy, 8.9 q/s, ETA 46s
+  [ 765/1172] 91.8% accuracy, 9.0 q/s, ETA 45s
+  [ 766/1172] 91.6% accuracy, 8.9 q/s, ETA 46s
+  [ 767/1172] 91.7% accuracy, 8.9 q/s, ETA 45s
+  [ 768/1172] 91.7% accuracy, 8.9 q/s, ETA 45s
+  [ 769/1172] 91.7% accuracy, 8.9 q/s, ETA 45s
+  [ 770/1172] 91.7% accuracy, 8.9 q/s, ETA 45s
+  [ 771/1172] 91.7% accuracy, 8.9 q/s, ETA 45s
+  [ 772/1172] 91.7% accuracy, 8.9 q/s, ETA 45s
+  [ 773/1172] 91.7% accuracy, 8.9 q/s, ETA 45s
+  [ 774/1172] 91.7% accuracy, 8.9 q/s, ETA 45s
+  [ 775/1172] 91.7% accuracy, 8.9 q/s, ETA 44s
+  [ 776/1172] 91.8% accuracy, 8.9 q/s, ETA 44s
+  [ 777/1172] 91.8% accuracy, 9.0 q/s, ETA 44s
+  [ 778/1172] 91.6% accuracy, 8.9 q/s, ETA 44s
+  [ 779/1172] 91.7% accuracy, 8.9 q/s, ETA 44s
+  [ 780/1172] 91.7% accuracy, 8.9 q/s, ETA 44s
+  [ 781/1172] 91.7% accuracy, 9.0 q/s, ETA 44s
+  [ 782/1172] 91.7% accuracy, 8.9 q/s, ETA 44s
+  [ 783/1172] 91.7% accuracy, 8.9 q/s, ETA 44s
+  [ 784/1172] 91.7% accuracy, 9.0 q/s, ETA 43s
+  [ 785/1172] 91.7% accuracy, 9.0 q/s, ETA 43s
+  [ 786/1172] 91.6% accuracy, 8.9 q/s, ETA 43s
+  [ 787/1172] 91.6% accuracy, 8.9 q/s, ETA 43s
+  [ 788/1172] 91.5% accuracy, 8.9 q/s, ETA 43s
+  [ 789/1172] 91.5% accuracy, 9.0 q/s, ETA 43s
+  [ 790/1172] 91.5% accuracy, 8.9 q/s, ETA 43s
+  [ 791/1172] 91.5% accuracy, 8.9 q/s, ETA 43s
+  [ 792/1172] 91.5% accuracy, 8.9 q/s, ETA 42s
+  [ 793/1172] 91.6% accuracy, 9.0 q/s, ETA 42s
+  [ 794/1172] 91.6% accuracy, 8.9 q/s, ETA 42s
+  [ 795/1172] 91.4% accuracy, 8.9 q/s, ETA 42s
+  [ 796/1172] 91.5% accuracy, 8.9 q/s, ETA 42s
+  [ 797/1172] 91.5% accuracy, 9.0 q/s, ETA 42s
+  [ 798/1172] 91.5% accuracy, 8.9 q/s, ETA 42s
+  [ 799/1172] 91.5% accuracy, 8.9 q/s, ETA 42s
+  [ 800/1172] 91.5% accuracy, 8.9 q/s, ETA 42s
+  [ 801/1172] 91.5% accuracy, 9.0 q/s, ETA 41s
+  [ 802/1172] 91.5% accuracy, 8.9 q/s, ETA 41s
+  [ 803/1172] 91.5% accuracy, 8.9 q/s, ETA 41s
+  [ 804/1172] 91.5% accuracy, 9.0 q/s, ETA 41s
+  [ 805/1172] 91.6% accuracy, 9.0 q/s, ETA 41s
+  [ 806/1172] 91.6% accuracy, 8.9 q/s, ETA 41s
+  [ 807/1172] 91.6% accuracy, 8.9 q/s, ETA 41s
+  [ 808/1172] 91.6% accuracy, 9.0 q/s, ETA 41s
+  [ 809/1172] 91.5% accuracy, 9.0 q/s, ETA 40s
+  [ 810/1172] 91.5% accuracy, 8.9 q/s, ETA 40s
+  [ 811/1172] 91.5% accuracy, 9.0 q/s, ETA 40s
+  [ 812/1172] 91.5% accuracy, 9.0 q/s, ETA 40s
+  [ 813/1172] 91.5% accuracy, 9.0 q/s, ETA 40s
+  [ 814/1172] 91.5% accuracy, 8.9 q/s, ETA 40s
+  [ 815/1172] 91.5% accuracy, 8.9 q/s, ETA 40s
+  [ 816/1172] 91.5% accuracy, 9.0 q/s, ETA 40s
+  [ 817/1172] 91.6% accuracy, 9.0 q/s, ETA 40s
+  [ 818/1172] 91.4% accuracy, 8.9 q/s, ETA 40s
+  [ 819/1172] 91.5% accuracy, 8.9 q/s, ETA 39s
+  [ 820/1172] 91.5% accuracy, 9.0 q/s, ETA 39s
+  [ 821/1172] 91.5% accuracy, 9.0 q/s, ETA 39s
+  [ 822/1172] 91.5% accuracy, 8.9 q/s, ETA 39s
+  [ 823/1172] 91.5% accuracy, 8.9 q/s, ETA 39s
+  [ 824/1172] 91.4% accuracy, 9.0 q/s, ETA 39s
+  [ 825/1172] 91.4% accuracy, 9.0 q/s, ETA 39s
+  [ 826/1172] 91.4% accuracy, 8.9 q/s, ETA 39s
+  [ 827/1172] 91.4% accuracy, 8.9 q/s, ETA 39s
+  [ 828/1172] 91.4% accuracy, 8.9 q/s, ETA 38s
+  [ 829/1172] 91.4% accuracy, 8.9 q/s, ETA 38s
+  [ 830/1172] 91.4% accuracy, 9.0 q/s, ETA 38s
+  [ 831/1172] 91.5% accuracy, 9.0 q/s, ETA 38s
+  [ 832/1172] 91.5% accuracy, 9.0 q/s, ETA 38s
+  [ 833/1172] 91.5% accuracy, 8.9 q/s, ETA 38s
+  [ 834/1172] 91.5% accuracy, 9.0 q/s, ETA 38s
+  [ 835/1172] 91.5% accuracy, 9.0 q/s, ETA 38s
+  [ 836/1172] 91.5% accuracy, 9.0 q/s, ETA 37s
+  [ 837/1172] 91.5% accuracy, 9.0 q/s, ETA 37s
+  [ 838/1172] 91.5% accuracy, 9.0 q/s, ETA 37s
+  [ 839/1172] 91.5% accuracy, 9.0 q/s, ETA 37s
+  [ 840/1172] 91.5% accuracy, 9.0 q/s, ETA 37s
+  [ 841/1172] 91.6% accuracy, 9.0 q/s, ETA 37s
+  [ 842/1172] 91.6% accuracy, 8.9 q/s, ETA 37s
+  [ 843/1172] 91.5% accuracy, 8.9 q/s, ETA 37s
+  [ 844/1172] 91.5% accuracy, 9.0 q/s, ETA 37s
+  [ 845/1172] 91.4% accuracy, 9.0 q/s, ETA 37s
+  [ 846/1172] 91.4% accuracy, 8.9 q/s, ETA 36s
+  [ 847/1172] 91.4% accuracy, 8.9 q/s, ETA 36s
+  [ 848/1172] 91.4% accuracy, 9.0 q/s, ETA 36s
+  [ 849/1172] 91.4% accuracy, 8.9 q/s, ETA 36s
+  [ 850/1172] 91.4% accuracy, 8.9 q/s, ETA 36s
+  [ 851/1172] 91.4% accuracy, 8.9 q/s, ETA 36s
+  [ 852/1172] 91.4% accuracy, 9.0 q/s, ETA 36s
+  [ 853/1172] 91.4% accuracy, 8.9 q/s, ETA 36s
+  [ 854/1172] 91.3% accuracy, 8.9 q/s, ETA 36s
+  [ 855/1172] 91.3% accuracy, 8.9 q/s, ETA 35s
+  [ 856/1172] 91.4% accuracy, 9.0 q/s, ETA 35s
+  [ 857/1172] 91.2% accuracy, 8.9 q/s, ETA 35s
+  [ 858/1172] 91.1% accuracy, 8.9 q/s, ETA 35s
+  [ 859/1172] 91.2% accuracy, 8.9 q/s, ETA 35s
+  [ 860/1172] 91.2% accuracy, 8.9 q/s, ETA 35s
+  [ 861/1172] 91.2% accuracy, 8.9 q/s, ETA 35s
+  [ 862/1172] 91.2% accuracy, 8.9 q/s, ETA 35s
+  [ 863/1172] 91.2% accuracy, 8.9 q/s, ETA 35s
+  [ 864/1172] 91.2% accuracy, 8.9 q/s, ETA 34s
+  [ 865/1172] 91.1% accuracy, 8.9 q/s, ETA 34s
+  [ 866/1172] 91.0% accuracy, 8.9 q/s, ETA 34s
+  [ 867/1172] 91.0% accuracy, 8.9 q/s, ETA 34s
+  [ 868/1172] 91.0% accuracy, 8.9 q/s, ETA 34s
+  [ 869/1172] 91.0% accuracy, 8.9 q/s, ETA 34s
+  [ 870/1172] 91.0% accuracy, 8.9 q/s, ETA 34s
+  [ 871/1172] 91.0% accuracy, 8.9 q/s, ETA 34s
+  [ 872/1172] 91.1% accuracy, 8.9 q/s, ETA 34s
+  [ 873/1172] 91.1% accuracy, 8.9 q/s, ETA 34s
+  [ 874/1172] 91.0% accuracy, 8.9 q/s, ETA 33s
+  [ 875/1172] 91.0% accuracy, 8.9 q/s, ETA 33s
+  [ 876/1172] 91.0% accuracy, 8.9 q/s, ETA 33s
+  [ 877/1172] 91.0% accuracy, 8.9 q/s, ETA 33s
+  [ 878/1172] 91.0% accuracy, 8.9 q/s, ETA 33s
+  [ 879/1172] 91.0% accuracy, 8.9 q/s, ETA 33s
+  [ 880/1172] 91.0% accuracy, 8.9 q/s, ETA 33s
+  [ 881/1172] 91.0% accuracy, 8.9 q/s, ETA 33s
+  [ 882/1172] 91.0% accuracy, 8.9 q/s, ETA 33s
+  [ 883/1172] 91.1% accuracy, 8.9 q/s, ETA 32s
+  [ 884/1172] 91.1% accuracy, 8.9 q/s, ETA 32s
+  [ 885/1172] 91.1% accuracy, 8.9 q/s, ETA 32s
+  [ 886/1172] 91.1% accuracy, 8.9 q/s, ETA 32s
+  [ 887/1172] 91.1% accuracy, 8.9 q/s, ETA 32s
+  [ 888/1172] 91.1% accuracy, 8.9 q/s, ETA 32s
+  [ 889/1172] 91.1% accuracy, 8.9 q/s, ETA 32s
+  [ 890/1172] 91.1% accuracy, 8.9 q/s, ETA 32s
+  [ 891/1172] 91.1% accuracy, 8.9 q/s, ETA 32s
+  [ 892/1172] 91.1% accuracy, 8.9 q/s, ETA 32s
+  [ 893/1172] 91.2% accuracy, 8.9 q/s, ETA 31s
+  [ 894/1172] 91.2% accuracy, 8.9 q/s, ETA 31s
+  [ 895/1172] 91.2% accuracy, 8.9 q/s, ETA 31s
+  [ 896/1172] 91.2% accuracy, 8.9 q/s, ETA 31s
+  [ 897/1172] 91.2% accuracy, 8.9 q/s, ETA 31s
+  [ 898/1172] 91.2% accuracy, 8.9 q/s, ETA 31s
+  [ 899/1172] 91.2% accuracy, 8.9 q/s, ETA 31s
+  [ 900/1172] 91.2% accuracy, 8.9 q/s, ETA 31s
+  [ 901/1172] 91.2% accuracy, 8.9 q/s, ETA 30s
+  [ 902/1172] 91.2% accuracy, 8.9 q/s, ETA 30s
+  [ 903/1172] 91.3% accuracy, 8.9 q/s, ETA 30s
+  [ 904/1172] 91.3% accuracy, 8.9 q/s, ETA 30s
+  [ 905/1172] 91.3% accuracy, 8.9 q/s, ETA 30s
+  [ 906/1172] 91.3% accuracy, 8.9 q/s, ETA 30s
+  [ 907/1172] 91.3% accuracy, 8.9 q/s, ETA 30s
+  [ 908/1172] 91.3% accuracy, 8.9 q/s, ETA 30s
+  [ 909/1172] 91.3% accuracy, 8.9 q/s, ETA 30s
+  [ 910/1172] 91.3% accuracy, 8.9 q/s, ETA 29s
+  [ 911/1172] 91.3% accuracy, 8.9 q/s, ETA 29s
+  [ 912/1172] 91.3% accuracy, 8.9 q/s, ETA 29s
+  [ 913/1172] 91.3% accuracy, 8.9 q/s, ETA 29s
+  [ 914/1172] 91.2% accuracy, 8.9 q/s, ETA 29s
+  [ 915/1172] 91.1% accuracy, 8.9 q/s, ETA 29s
+  [ 916/1172] 91.2% accuracy, 8.9 q/s, ETA 29s
+  [ 917/1172] 91.2% accuracy, 8.9 q/s, ETA 29s
+  [ 918/1172] 91.2% accuracy, 8.9 q/s, ETA 29s
+  [ 919/1172] 91.1% accuracy, 8.9 q/s, ETA 28s
+  [ 920/1172] 91.0% accuracy, 8.9 q/s, ETA 28s
+  [ 921/1172] 91.0% accuracy, 8.9 q/s, ETA 28s
+  [ 922/1172] 91.0% accuracy, 8.9 q/s, ETA 28s
+  [ 923/1172] 91.0% accuracy, 8.9 q/s, ETA 28s
+  [ 924/1172] 91.0% accuracy, 8.9 q/s, ETA 28s
+  [ 925/1172] 91.0% accuracy, 8.9 q/s, ETA 28s
+  [ 926/1172] 91.0% accuracy, 8.9 q/s, ETA 28s
+  [ 927/1172] 91.0% accuracy, 8.9 q/s, ETA 27s
+  [ 928/1172] 91.1% accuracy, 8.9 q/s, ETA 27s
+  [ 929/1172] 91.1% accuracy, 8.9 q/s, ETA 27s
+  [ 930/1172] 91.1% accuracy, 8.9 q/s, ETA 27s
+  [ 931/1172] 91.1% accuracy, 8.9 q/s, ETA 27s
+  [ 932/1172] 91.0% accuracy, 8.9 q/s, ETA 27s
+  [ 933/1172] 91.0% accuracy, 8.9 q/s, ETA 27s
+  [ 934/1172] 91.0% accuracy, 8.9 q/s, ETA 27s
+  [ 935/1172] 91.0% accuracy, 8.9 q/s, ETA 27s
+  [ 936/1172] 91.0% accuracy, 8.9 q/s, ETA 27s
+  [ 937/1172] 91.0% accuracy, 8.9 q/s, ETA 26s
+  [ 938/1172] 91.0% accuracy, 8.9 q/s, ETA 26s
+  [ 939/1172] 91.1% accuracy, 8.9 q/s, ETA 26s
+  [ 940/1172] 91.1% accuracy, 8.9 q/s, ETA 26s
+  [ 941/1172] 91.1% accuracy, 8.9 q/s, ETA 26s
+  [ 942/1172] 91.1% accuracy, 8.9 q/s, ETA 26s
+  [ 943/1172] 91.1% accuracy, 8.9 q/s, ETA 26s
+  [ 944/1172] 91.1% accuracy, 8.9 q/s, ETA 26s
+  [ 945/1172] 91.1% accuracy, 8.9 q/s, ETA 26s
+  [ 946/1172] 91.1% accuracy, 8.9 q/s, ETA 25s
+  [ 947/1172] 91.1% accuracy, 8.9 q/s, ETA 25s
+  [ 948/1172] 91.1% accuracy, 8.9 q/s, ETA 25s
+  [ 949/1172] 91.1% accuracy, 8.9 q/s, ETA 25s
+  [ 950/1172] 91.2% accuracy, 8.9 q/s, ETA 25s
+  [ 951/1172] 91.2% accuracy, 8.9 q/s, ETA 25s
+  [ 952/1172] 91.2% accuracy, 8.9 q/s, ETA 25s
+  [ 953/1172] 91.2% accuracy, 8.9 q/s, ETA 25s
+  [ 954/1172] 91.1% accuracy, 8.9 q/s, ETA 24s
+  [ 955/1172] 91.1% accuracy, 8.9 q/s, ETA 24s
+  [ 956/1172] 91.1% accuracy, 8.9 q/s, ETA 24s
+  [ 957/1172] 91.1% accuracy, 8.9 q/s, ETA 24s
+  [ 958/1172] 91.1% accuracy, 8.9 q/s, ETA 24s
+  [ 959/1172] 91.1% accuracy, 8.9 q/s, ETA 24s
+  [ 960/1172] 91.1% accuracy, 8.9 q/s, ETA 24s
+  [ 961/1172] 91.2% accuracy, 8.9 q/s, ETA 24s
+  [ 962/1172] 91.2% accuracy, 8.9 q/s, ETA 24s
+  [ 963/1172] 91.1% accuracy, 8.9 q/s, ETA 23s
+  [ 964/1172] 91.1% accuracy, 8.9 q/s, ETA 23s
+  [ 965/1172] 91.1% accuracy, 8.9 q/s, ETA 23s
+  [ 966/1172] 91.1% accuracy, 8.9 q/s, ETA 23s
+  [ 967/1172] 91.1% accuracy, 8.9 q/s, ETA 23s
+  [ 968/1172] 91.0% accuracy, 8.9 q/s, ETA 23s
+  [ 969/1172] 91.0% accuracy, 8.9 q/s, ETA 23s
+  [ 970/1172] 91.0% accuracy, 8.9 q/s, ETA 23s
+  [ 971/1172] 91.0% accuracy, 8.9 q/s, ETA 23s
+  [ 972/1172] 91.0% accuracy, 8.9 q/s, ETA 22s
+  [ 973/1172] 91.1% accuracy, 8.9 q/s, ETA 22s
+  [ 974/1172] 91.1% accuracy, 8.9 q/s, ETA 22s
+  [ 975/1172] 91.1% accuracy, 8.9 q/s, ETA 22s
+  [ 976/1172] 91.0% accuracy, 8.9 q/s, ETA 22s
+  [ 977/1172] 91.0% accuracy, 8.9 q/s, ETA 22s
+  [ 978/1172] 91.0% accuracy, 8.9 q/s, ETA 22s
+  [ 979/1172] 91.0% accuracy, 8.9 q/s, ETA 22s
+  [ 980/1172] 91.0% accuracy, 8.9 q/s, ETA 22s
+  [ 981/1172] 91.0% accuracy, 8.9 q/s, ETA 21s
+  [ 982/1172] 91.0% accuracy, 8.9 q/s, ETA 21s
+  [ 983/1172] 91.0% accuracy, 8.9 q/s, ETA 21s
+  [ 984/1172] 91.1% accuracy, 8.9 q/s, ETA 21s
+  [ 985/1172] 91.0% accuracy, 8.9 q/s, ETA 21s
+  [ 986/1172] 91.0% accuracy, 8.9 q/s, ETA 21s
+  [ 987/1172] 91.0% accuracy, 8.9 q/s, ETA 21s
+  [ 988/1172] 91.0% accuracy, 8.9 q/s, ETA 21s
+  [ 989/1172] 91.0% accuracy, 8.9 q/s, ETA 21s
+  [ 990/1172] 91.0% accuracy, 8.9 q/s, ETA 20s
+  [ 991/1172] 91.0% accuracy, 8.9 q/s, ETA 20s
+  [ 992/1172] 91.0% accuracy, 8.9 q/s, ETA 20s
+  [ 993/1172] 91.0% accuracy, 8.9 q/s, ETA 20s
+  [ 994/1172] 91.0% accuracy, 8.9 q/s, ETA 20s
+  [ 995/1172] 91.1% accuracy, 8.9 q/s, ETA 20s
+  [ 996/1172] 91.1% accuracy, 8.9 q/s, ETA 20s
+  [ 997/1172] 91.1% accuracy, 8.9 q/s, ETA 20s
+  [ 998/1172] 91.1% accuracy, 8.9 q/s, ETA 19s
+  [ 999/1172] 91.1% accuracy, 8.9 q/s, ETA 19s
+  [1000/1172] 91.1% accuracy, 8.9 q/s, ETA 19s
+  [1001/1172] 91.1% accuracy, 8.9 q/s, ETA 19s
+  [1002/1172] 91.1% accuracy, 8.9 q/s, ETA 19s
+  [1003/1172] 91.1% accuracy, 8.9 q/s, ETA 19s
+  [1004/1172] 91.1% accuracy, 8.9 q/s, ETA 19s
+  [1005/1172] 91.1% accuracy, 8.9 q/s, ETA 19s
+  [1006/1172] 91.2% accuracy, 8.9 q/s, ETA 19s
+  [1007/1172] 91.2% accuracy, 8.9 q/s, ETA 19s
+  [1008/1172] 91.2% accuracy, 8.9 q/s, ETA 18s
+  [1009/1172] 91.2% accuracy, 8.9 q/s, ETA 18s
+  [1010/1172] 91.2% accuracy, 8.9 q/s, ETA 18s
+  [1011/1172] 91.2% accuracy, 8.9 q/s, ETA 18s
+  [1012/1172] 91.2% accuracy, 8.9 q/s, ETA 18s
+  [1013/1172] 91.2% accuracy, 8.9 q/s, ETA 18s
+  [1014/1172] 91.2% accuracy, 8.9 q/s, ETA 18s
+  [1015/1172] 91.2% accuracy, 8.9 q/s, ETA 18s
+  [1016/1172] 91.2% accuracy, 8.9 q/s, ETA 18s
+  [1017/1172] 91.2% accuracy, 8.9 q/s, ETA 17s
+  [1018/1172] 91.3% accuracy, 8.9 q/s, ETA 17s
+  [1019/1172] 91.3% accuracy, 8.9 q/s, ETA 17s
+  [1020/1172] 91.3% accuracy, 8.9 q/s, ETA 17s
+  [1021/1172] 91.3% accuracy, 8.9 q/s, ETA 17s
+  [1022/1172] 91.3% accuracy, 8.9 q/s, ETA 17s
+  [1023/1172] 91.3% accuracy, 8.9 q/s, ETA 17s
+  [1024/1172] 91.2% accuracy, 8.9 q/s, ETA 17s
+  [1025/1172] 91.2% accuracy, 8.9 q/s, ETA 17s
+  [1026/1172] 91.2% accuracy, 8.9 q/s, ETA 16s
+  [1027/1172] 91.2% accuracy, 8.9 q/s, ETA 16s
+  [1028/1172] 91.2% accuracy, 8.9 q/s, ETA 16s
+  [1029/1172] 91.3% accuracy, 8.9 q/s, ETA 16s
+  [1030/1172] 91.3% accuracy, 8.9 q/s, ETA 16s
+  [1031/1172] 91.3% accuracy, 8.9 q/s, ETA 16s
+  [1032/1172] 91.3% accuracy, 8.9 q/s, ETA 16s
+  [1033/1172] 91.3% accuracy, 8.9 q/s, ETA 16s
+  [1034/1172] 91.3% accuracy, 8.9 q/s, ETA 15s
+  [1035/1172] 91.3% accuracy, 8.9 q/s, ETA 15s
+  [1036/1172] 91.3% accuracy, 8.9 q/s, ETA 15s
+  [1037/1172] 91.3% accuracy, 8.9 q/s, ETA 15s
+  [1038/1172] 91.3% accuracy, 8.9 q/s, ETA 15s
+  [1039/1172] 91.3% accuracy, 8.9 q/s, ETA 15s
+  [1040/1172] 91.3% accuracy, 8.9 q/s, ETA 15s
+  [1041/1172] 91.4% accuracy, 8.9 q/s, ETA 15s
+  [1042/1172] 91.4% accuracy, 8.9 q/s, ETA 15s
+  [1043/1172] 91.4% accuracy, 8.9 q/s, ETA 14s
+  [1044/1172] 91.4% accuracy, 8.9 q/s, ETA 14s
+  [1045/1172] 91.4% accuracy, 8.9 q/s, ETA 14s
+  [1046/1172] 91.4% accuracy, 8.9 q/s, ETA 14s
+  [1047/1172] 91.3% accuracy, 8.9 q/s, ETA 14s
+  [1048/1172] 91.3% accuracy, 8.9 q/s, ETA 14s
+  [1049/1172] 91.3% accuracy, 8.9 q/s, ETA 14s
+  [1050/1172] 91.3% accuracy, 8.9 q/s, ETA 14s
+  [1051/1172] 91.3% accuracy, 8.9 q/s, ETA 14s
+  [1052/1172] 91.3% accuracy, 8.9 q/s, ETA 13s
+  [1053/1172] 91.3% accuracy, 8.9 q/s, ETA 13s
+  [1054/1172] 91.3% accuracy, 8.9 q/s, ETA 13s
+  [1055/1172] 91.3% accuracy, 8.9 q/s, ETA 13s
+  [1056/1172] 91.3% accuracy, 8.9 q/s, ETA 13s
+  [1057/1172] 91.3% accuracy, 8.9 q/s, ETA 13s
+  [1058/1172] 91.3% accuracy, 8.9 q/s, ETA 13s
+  [1059/1172] 91.3% accuracy, 8.9 q/s, ETA 13s
+  [1060/1172] 91.3% accuracy, 8.9 q/s, ETA 13s
+  [1061/1172] 91.3% accuracy, 8.9 q/s, ETA 12s
+  [1062/1172] 91.3% accuracy, 8.9 q/s, ETA 12s
+  [1063/1172] 91.3% accuracy, 8.9 q/s, ETA 12s
+  [1064/1172] 91.3% accuracy, 8.9 q/s, ETA 12s
+  [1065/1172] 91.3% accuracy, 8.9 q/s, ETA 12s
+  [1066/1172] 91.3% accuracy, 8.9 q/s, ETA 12s
+  [1067/1172] 91.3% accuracy, 8.9 q/s, ETA 12s
+  [1068/1172] 91.3% accuracy, 8.9 q/s, ETA 12s
+  [1069/1172] 91.3% accuracy, 8.9 q/s, ETA 12s
+  [1070/1172] 91.3% accuracy, 8.9 q/s, ETA 11s
+  [1071/1172] 91.3% accuracy, 8.9 q/s, ETA 11s
+  [1072/1172] 91.3% accuracy, 8.9 q/s, ETA 11s
+  [1073/1172] 91.3% accuracy, 8.9 q/s, ETA 11s
+  [1074/1172] 91.3% accuracy, 8.9 q/s, ETA 11s
+  [1075/1172] 91.3% accuracy, 8.9 q/s, ETA 11s
+  [1076/1172] 91.4% accuracy, 8.9 q/s, ETA 11s
+  [1077/1172] 91.4% accuracy, 8.9 q/s, ETA 11s
+  [1078/1172] 91.4% accuracy, 8.9 q/s, ETA 11s
+  [1079/1172] 91.4% accuracy, 8.9 q/s, ETA 10s
+  [1080/1172] 91.4% accuracy, 8.9 q/s, ETA 10s
+  [1081/1172] 91.4% accuracy, 8.9 q/s, ETA 10s
+  [1082/1172] 91.4% accuracy, 8.9 q/s, ETA 10s
+  [1083/1172] 91.4% accuracy, 8.9 q/s, ETA 10s
+  [1084/1172] 91.4% accuracy, 8.9 q/s, ETA 10s
+  [1085/1172] 91.4% accuracy, 8.9 q/s, ETA 10s
+  [1086/1172] 91.4% accuracy, 8.9 q/s, ETA 10s
+  [1087/1172] 91.4% accuracy, 8.9 q/s, ETA 10s
+  [1088/1172] 91.5% accuracy, 8.9 q/s, ETA 9s
+  [1089/1172] 91.5% accuracy, 8.9 q/s, ETA 9s
+  [1090/1172] 91.5% accuracy, 8.9 q/s, ETA 9s
+  [1091/1172] 91.5% accuracy, 8.9 q/s, ETA 9s
+  [1092/1172] 91.5% accuracy, 8.9 q/s, ETA 9s
+  [1093/1172] 91.4% accuracy, 8.9 q/s, ETA 9s
+  [1094/1172] 91.4% accuracy, 8.9 q/s, ETA 9s
+  [1095/1172] 91.4% accuracy, 8.9 q/s, ETA 9s
+  [1096/1172] 91.4% accuracy, 8.9 q/s, ETA 9s
+  [1097/1172] 91.4% accuracy, 8.9 q/s, ETA 8s
+  [1098/1172] 91.4% accuracy, 8.9 q/s, ETA 8s
+  [1099/1172] 91.4% accuracy, 8.9 q/s, ETA 8s
+  [1100/1172] 91.5% accuracy, 8.9 q/s, ETA 8s
+  [1101/1172] 91.5% accuracy, 8.9 q/s, ETA 8s
+  [1102/1172] 91.5% accuracy, 8.9 q/s, ETA 8s
+  [1103/1172] 91.5% accuracy, 8.9 q/s, ETA 8s
+  [1104/1172] 91.5% accuracy, 8.9 q/s, ETA 8s
+  [1105/1172] 91.5% accuracy, 8.9 q/s, ETA 8s
+  [1106/1172] 91.5% accuracy, 8.9 q/s, ETA 7s
+  [1107/1172] 91.5% accuracy, 8.9 q/s, ETA 7s
+  [1108/1172] 91.5% accuracy, 8.9 q/s, ETA 7s
+  [1109/1172] 91.5% accuracy, 8.9 q/s, ETA 7s
+  [1110/1172] 91.5% accuracy, 8.9 q/s, ETA 7s
+  [1111/1172] 91.5% accuracy, 8.9 q/s, ETA 7s
+  [1112/1172] 91.5% accuracy, 8.9 q/s, ETA 7s
+  [1113/1172] 91.6% accuracy, 8.9 q/s, ETA 7s
+  [1114/1172] 91.5% accuracy, 8.9 q/s, ETA 7s
+  [1115/1172] 91.5% accuracy, 8.9 q/s, ETA 6s
+  [1116/1172] 91.5% accuracy, 8.9 q/s, ETA 6s
+  [1117/1172] 91.4% accuracy, 8.9 q/s, ETA 6s
+  [1118/1172] 91.4% accuracy, 8.9 q/s, ETA 6s
+  [1119/1172] 91.4% accuracy, 8.9 q/s, ETA 6s
+  [1120/1172] 91.4% accuracy, 8.9 q/s, ETA 6s
+  [1121/1172] 91.4% accuracy, 8.9 q/s, ETA 6s
+  [1122/1172] 91.4% accuracy, 8.9 q/s, ETA 6s
+  [1123/1172] 91.5% accuracy, 8.9 q/s, ETA 6s
+  [1124/1172] 91.4% accuracy, 8.9 q/s, ETA 5s
+  [1125/1172] 91.4% accuracy, 8.9 q/s, ETA 5s
+  [1126/1172] 91.4% accuracy, 8.9 q/s, ETA 5s
+  [1127/1172] 91.4% accuracy, 8.9 q/s, ETA 5s
+  [1128/1172] 91.4% accuracy, 8.9 q/s, ETA 5s
+  [1129/1172] 91.4% accuracy, 8.9 q/s, ETA 5s
+  [1130/1172] 91.4% accuracy, 8.9 q/s, ETA 5s
+  [1131/1172] 91.3% accuracy, 8.9 q/s, ETA 5s
+  [1132/1172] 91.3% accuracy, 8.9 q/s, ETA 4s
+  [1133/1172] 91.4% accuracy, 8.9 q/s, ETA 4s
+  [1134/1172] 91.4% accuracy, 8.9 q/s, ETA 4s
+  [1135/1172] 91.4% accuracy, 8.9 q/s, ETA 4s
+  [1136/1172] 91.3% accuracy, 8.9 q/s, ETA 4s
+  [1137/1172] 91.2% accuracy, 8.9 q/s, ETA 4s
+  [1138/1172] 91.2% accuracy, 8.9 q/s, ETA 4s
+  [1139/1172] 91.2% accuracy, 8.9 q/s, ETA 4s
+  [1140/1172] 91.2% accuracy, 8.9 q/s, ETA 4s
+  [1141/1172] 91.2% accuracy, 8.9 q/s, ETA 3s
+  [1142/1172] 91.2% accuracy, 8.9 q/s, ETA 3s
+  [1143/1172] 91.3% accuracy, 8.9 q/s, ETA 3s
+  [1144/1172] 91.3% accuracy, 8.9 q/s, ETA 3s
+  [1145/1172] 91.3% accuracy, 8.9 q/s, ETA 3s
+  [1146/1172] 91.3% accuracy, 8.9 q/s, ETA 3s
+  [1147/1172] 91.3% accuracy, 8.9 q/s, ETA 3s
+  [1148/1172] 91.3% accuracy, 8.9 q/s, ETA 3s
+  [1149/1172] 91.3% accuracy, 8.9 q/s, ETA 3s
+  [1150/1172] 91.3% accuracy, 8.9 q/s, ETA 2s
+  [1151/1172] 91.3% accuracy, 8.9 q/s, ETA 2s
+  [1152/1172] 91.3% accuracy, 8.9 q/s, ETA 2s
+  [1153/1172] 91.2% accuracy, 8.9 q/s, ETA 2s
+  [1154/1172] 91.2% accuracy, 8.9 q/s, ETA 2s
+  [1155/1172] 91.3% accuracy, 8.9 q/s, ETA 2s
+  [1156/1172] 91.3% accuracy, 8.9 q/s, ETA 2s
+  [1157/1172] 91.3% accuracy, 8.9 q/s, ETA 2s
+  [1158/1172] 91.3% accuracy, 8.9 q/s, ETA 2s
+  [1159/1172] 91.3% accuracy, 8.9 q/s, ETA 1s
+  [1160/1172] 91.3% accuracy, 8.9 q/s, ETA 1s
+  [1161/1172] 91.3% accuracy, 8.9 q/s, ETA 1s
+  [1162/1172] 91.3% accuracy, 8.9 q/s, ETA 1s
+  [1163/1172] 91.3% accuracy, 8.9 q/s, ETA 1s
+  [1164/1172] 91.2% accuracy, 8.9 q/s, ETA 1s
+  [1165/1172] 91.2% accuracy, 8.9 q/s, ETA 1s
+  [1166/1172] 91.3% accuracy, 8.9 q/s, ETA 1s
+  [1167/1172] 91.3% accuracy, 8.9 q/s, ETA 1s
+  [1168/1172] 91.3% accuracy, 8.9 q/s, ETA 0s
+  [1169/1172] 91.3% accuracy, 8.9 q/s, ETA 0s
+  [1170/1172] 91.3% accuracy, 8.9 q/s, ETA 0s
+  [1171/1172] 91.3% accuracy, 8.9 q/s, ETA 0s
+  [1172/1172] 91.3% accuracy, 8.9 q/s, ETA 0s
+
+RESULTS — 1172 questions, 131s (8.9 q/s)
+Overall Accuracy: 91.3%
+
+Results saved to /var/home/deucebucket/ai-drive/cerebellum/cerebellum-granite41-30b/benchmark_results/cerebellum_v2_arc_results.json
+Per-question detail log: /var/home/deucebucket/ai-drive/cerebellum/cerebellum-granite41-30b/benchmark_results/cerebellum_v2_arc_detailed.jsonl (1172 entries)
+======================================================================

benchmark_results/cerebellum_v2_evalplus_results.json

@@ -0,0 +1,9 @@
+{
+  "benchmark": "evalplus_humaneval_plus",
+  "model": "cerebellum_v2",
+  "pass_at_1_plus": null,
+  "pass_at_1_base": null,
+  "total_problems": 164,
+  "elapsed_seconds": 693.4,
+  "timestamp": "2026-05-05 02:37"
+}

benchmark_results/cerebellum_v2_evalplus_run.log

@@ -0,0 +1,206 @@
+/home/deucebucket/.local/lib/python3.14/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+EVALPLUS (HumanEval+) BENCHMARK — cerebellum_v2
+Loading problems...
+Loaded 164 problems
+Workers: 1, remaining: 164
+  [  1/164] 0.67 q/s, ETA 243s — HumanEval/0
+  [  2/164] 0.24 q/s, ETA 670s — HumanEval/1
+  [  3/164] 0.27 q/s, ETA 591s — HumanEval/10
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+  [164/164] 0.24 q/s, ETA 0s — HumanEval/99
+
+Generation complete: 164 problems in 693s
+Samples: /var/home/deucebucket/ai-drive/cerebellum/cerebellum-granite41-30b/benchmark_results/cerebellum_v2_evalplus_samples.jsonl
+
+Running EvalPlus evaluation...
+Load from ground-truth from /home/deucebucket/.cache/evalplus/fe585eb4df8c88d844eeb463ea4d0302.pkl
+Reading samples...
+
+  import pynvml  # type: ignore[import]
+
+
  0%|          | 0/164 [00:00<?, ?it/s]/home/deucebucket/.local/lib/python3.14/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+/home/deucebucket/.local/lib/python3.14/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+/home/deucebucket/.local/lib/python3.14/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+/home/deucebucket/.local/lib/python3.14/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+/home/deucebucket/.local/lib/python3.14/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+/home/deucebucket/.local/lib/python3.14/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+/home/deucebucket/.local/lib/python3.14/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+/home/deucebucket/.local/lib/python3.14/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+
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 96%|█████████▌| 157/164 [00:04<00:00, 59.90it/s]
+humaneval (base tests)
+pass@1:	0.378
+humaneval+ (base + extra tests)
+pass@1:	0.354
+
+RESULTS:
+
+Saved to /var/home/deucebucket/ai-drive/cerebellum/cerebellum-granite41-30b/benchmark_results/cerebellum_v2_evalplus_results.json
+======================================================================

benchmark_results/cerebellum_v2_hellaswag_results.json

@@ -0,0 +1,8 @@
+{
+  "benchmark": "hellaswag",
+  "model": "cerebellum_v2",
+  "accuracy": 89.05,
+  "total": 10042,
+  "elapsed_seconds": 2216.6,
+  "timestamp": "2026-05-05 03:16"
+}

benchmark_results/cerebellum_v2_mmlu_redux_results.json

@@ -0,0 +1,8 @@
+{
+  "benchmark": "mmlu_redux",
+  "model": "cerebellum_v2",
+  "accuracy": 66.88,
+  "total": 2400,
+  "elapsed_seconds": 290.7,
+  "timestamp": "2026-05-05 03:21"
+}

benchmark_results/pipeline.log

@@ -0,0 +1,72 @@
+==========================================================================
+  GATE 2 PIPELINE :: Granite 4.1 30B Cerebellum v2 vs same-size baselines
+  Started: Tue May  5 02:25:13 AM CDT 2026
+  Pipeline: bench v2 (||) dl q3km -> bench q3km (||) dl iq3m -> bench iq3m
+==========================================================================
+
+##########################################################################
+  PHASE A: cerebellum_v2 (13.57 GB)
+##########################################################################
+[02:25:13] starting download: q3km_baseline (bartowski/ibm-granite_granite-4.1-30b-GGUF / ibm-granite_granite-4.1-30b-Q3_K_M.gguf)
+  download PID: 1736268
+[02:25:13] launching server for cerebellum_v2 (Granite-4.1-30B-Cerebellum-v2.gguf)
+  server PID: 1736271
+  server ready after 4s
+
+===== [02:25:17] cerebellum_v2 : evalplus (workers=1) =====
+  evalplus done
+
+===== [02:37:16] cerebellum_v2 : arc (workers=4) =====
+  arc done
+
+===== [02:39:28] cerebellum_v2 : hellaswag (workers=4) =====
+  hellaswag done
+
+===== [03:16:27] cerebellum_v2 : mmlu (workers=4) =====
+  mmlu done
+
+===== [03:21:31] [cerebellum_v2] AUDIT =====
+audited 164 completions from cerebellum_v2_evalplus_samples.jsonl
+
+  GIVE-UP signals (real compression damage / network issues):
+    cop_out                  2 (  1.2%)
+    empty                    1 (  0.6%)
+
+  REAL-ATTEMPT signals (might still be wrong, but model tried):
+    normal                 147 ( 89.6%)
+    one_liner               14 (  8.5%)
+
+  GIVE-UP TOTAL: 3/164 (1.8%)
+
+first 30 non-normal completions:
+  [cop_out           ] HumanEval/141: '    # TODO: your code here |     pass'
+  [empty             ] HumanEval/142: '    # TODO: your code here |     # print(lst) |     # print(len(lst)) |     # print(lst[0]) |     # print(lst[1]) |     # print(ls'
+  [cop_out           ] HumanEval/44: '    # Your code here |     pass'
+
+  HumanEval+ base: 62/164 = 37.8%
+  HumanEval+ plus: 58/164 = 35.4%
+  arc: 91.3% (n=1172)
+  hellaswag: 89.05% (n=10042)
+  mmlu_redux: 66.88% (n=2400)
+  arc audit: 102 wrong, 12 predicted=? (parser fallback), 0 errors
+  hellaswag audit: 1100 wrong, 0 predicted=? (parser fallback), 0 errors
+  mmlu_redux audit: 795 wrong, 0 predicted=? (parser fallback), 0 errors
+[03:21:32] waiting for q3km_baseline download to complete (PID 1736268)...
+[03:21:32] q3km_baseline ready: 14181983808 bytes
+
+##########################################################################
+  PHASE B: q3km_baseline (14.18 GB)
+##########################################################################
+[03:21:32] starting download: iq3m_baseline (bartowski/ibm-granite_granite-4.1-30b-GGUF / ibm-granite_granite-4.1-30b-IQ3_M.gguf)
+  download PID: 1790517
+[03:21:32] launching server for q3km_baseline (ibm-granite_granite-4.1-30b-Q3_K_M.gguf)
+  server PID: 1790520
+  server ready after 4s
+
+===== [03:21:36] q3km_baseline : evalplus (workers=1) =====
+  evalplus done
+
+===== [03:36:29] q3km_baseline : arc (workers=4) =====
+  arc done
+
+===== [03:38:40] q3km_baseline : hellaswag (workers=4) =====

benchmark_results/q3km_baseline_arc_results.json

@@ -0,0 +1,8 @@
+{
+  "benchmark": "arc_challenge",
+  "model": "q3km_baseline",
+  "accuracy": 92.66,
+  "total": 1172,
+  "elapsed_seconds": 129.5,
+  "timestamp": "2026-05-05 03:38"
+}

benchmark_results/q3km_baseline_arc_run.log

@@ -0,0 +1,1183 @@
+ARC-CHALLENGE BENCHMARK — q3km_baseline
+Loading questions...
+Loaded 1172 questions
+Workers: 4
+  [   1/1172] 100.0% accuracy, 1.5 q/s, ETA 801s
+  [   2/1172] 100.0% accuracy, 2.9 q/s, ETA 400s
+  [   3/1172] 100.0% accuracy, 4.4 q/s, ETA 267s
+  [   4/1172] 100.0% accuracy, 5.8 q/s, ETA 200s
+  [   5/1172] 80.0% accuracy, 4.1 q/s, ETA 285s
+  [   6/1172] 83.3% accuracy, 4.8 q/s, ETA 243s
+  [   7/1172] 85.7% accuracy, 5.6 q/s, ETA 208s
+  [   8/1172] 87.5% accuracy, 6.4 q/s, ETA 182s
+  [   9/1172] 88.9% accuracy, 5.3 q/s, ETA 218s
+  [  10/1172] 90.0% accuracy, 5.9 q/s, ETA 196s
+  [  11/1172] 90.9% accuracy, 6.5 q/s, ETA 178s
+  [  12/1172] 91.7% accuracy, 7.1 q/s, ETA 163s
+  [  13/1172] 92.3% accuracy, 6.2 q/s, ETA 186s
+  [  14/1172] 92.9% accuracy, 6.7 q/s, ETA 173s
+  [  15/1172] 93.3% accuracy, 7.2 q/s, ETA 161s
+  [  16/1172] 93.8% accuracy, 7.6 q/s, ETA 151s
+  [  17/1172] 94.1% accuracy, 6.5 q/s, ETA 177s
+  [  18/1172] 94.4% accuracy, 6.9 q/s, ETA 167s
+  [  19/1172] 94.7% accuracy, 7.3 q/s, ETA 158s
+  [  20/1172] 95.0% accuracy, 7.7 q/s, ETA 150s
+  [  21/1172] 95.2% accuracy, 6.8 q/s, ETA 169s
+  [  22/1172] 95.5% accuracy, 7.1 q/s, ETA 162s
+  [  23/1172] 95.7% accuracy, 7.4 q/s, ETA 154s
+  [  24/1172] 95.8% accuracy, 7.8 q/s, ETA 148s
+  [  25/1172] 96.0% accuracy, 7.0 q/s, ETA 165s
+  [  26/1172] 96.2% accuracy, 7.2 q/s, ETA 158s
+  [  27/1172] 96.3% accuracy, 7.5 q/s, ETA 152s
+  [  28/1172] 96.4% accuracy, 7.8 q/s, ETA 147s
+  [  29/1172] 96.6% accuracy, 7.2 q/s, ETA 158s
+  [  30/1172] 96.7% accuracy, 7.4 q/s, ETA 154s
+  [  31/1172] 96.8% accuracy, 7.7 q/s, ETA 149s
+  [  32/1172] 96.9% accuracy, 7.9 q/s, ETA 144s
+  [  33/1172] 97.0% accuracy, 7.4 q/s, ETA 154s
+  [  34/1172] 97.1% accuracy, 7.6 q/s, ETA 149s
+  [  35/1172] 97.1% accuracy, 7.9 q/s, ETA 145s
+  [  36/1172] 97.2% accuracy, 8.1 q/s, ETA 140s
+  [  37/1172] 97.3% accuracy, 7.6 q/s, ETA 150s
+  [  38/1172] 97.4% accuracy, 7.7 q/s, ETA 147s
+  [  39/1172] 97.4% accuracy, 7.9 q/s, ETA 143s
+  [  40/1172] 97.5% accuracy, 8.1 q/s, ETA 140s
+  [  41/1172] 97.6% accuracy, 7.7 q/s, ETA 147s
+  [  42/1172] 97.6% accuracy, 7.8 q/s, ETA 145s
+  [  43/1172] 97.7% accuracy, 8.0 q/s, ETA 141s
+  [  44/1172] 97.7% accuracy, 8.2 q/s, ETA 138s
+  [  45/1172] 97.8% accuracy, 7.8 q/s, ETA 144s
+  [  46/1172] 97.8% accuracy, 7.9 q/s, ETA 142s
+  [  47/1172] 97.9% accuracy, 8.1 q/s, ETA 139s
+  [  48/1172] 97.9% accuracy, 8.3 q/s, ETA 136s
+  [  49/1172] 98.0% accuracy, 7.9 q/s, ETA 143s
+  [  50/1172] 98.0% accuracy, 8.0 q/s, ETA 140s
+  [  51/1172] 98.0% accuracy, 8.2 q/s, ETA 137s
+  [  52/1172] 98.1% accuracy, 8.3 q/s, ETA 135s
+  [  53/1172] 98.1% accuracy, 7.9 q/s, ETA 141s
+  [  54/1172] 98.1% accuracy, 8.1 q/s, ETA 138s
+  [  55/1172] 96.4% accuracy, 8.2 q/s, ETA 136s
+  [  56/1172] 96.4% accuracy, 8.4 q/s, ETA 133s
+  [  57/1172] 96.5% accuracy, 8.0 q/s, ETA 140s
+  [  58/1172] 96.6% accuracy, 8.1 q/s, ETA 137s
+  [  59/1172] 96.6% accuracy, 8.3 q/s, ETA 135s
+  [  60/1172] 96.7% accuracy, 8.4 q/s, ETA 132s
+  [  61/1172] 96.7% accuracy, 8.1 q/s, ETA 137s
+  [  62/1172] 96.8% accuracy, 8.2 q/s, ETA 135s
+  [  63/1172] 96.8% accuracy, 8.4 q/s, ETA 132s
+  [  64/1172] 96.9% accuracy, 8.5 q/s, ETA 130s
+  [  65/1172] 95.4% accuracy, 8.1 q/s, ETA 136s
+  [  66/1172] 95.5% accuracy, 8.2 q/s, ETA 134s
+  [  67/1172] 95.5% accuracy, 8.4 q/s, ETA 132s
+  [  68/1172] 94.1% accuracy, 8.5 q/s, ETA 130s
+  [  69/1172] 94.2% accuracy, 8.2 q/s, ETA 135s
+  [  70/1172] 92.9% accuracy, 8.3 q/s, ETA 133s
+  [  71/1172] 93.0% accuracy, 8.4 q/s, ETA 131s
+  [  72/1172] 93.1% accuracy, 8.5 q/s, ETA 129s
+  [  73/1172] 93.2% accuracy, 8.3 q/s, ETA 133s
+  [  74/1172] 93.2% accuracy, 8.4 q/s, ETA 131s
+  [  75/1172] 93.3% accuracy, 8.5 q/s, ETA 130s
+  [  76/1172] 93.4% accuracy, 8.6 q/s, ETA 128s
+  [  77/1172] 93.5% accuracy, 8.3 q/s, ETA 132s
+  [  78/1172] 93.6% accuracy, 8.4 q/s, ETA 130s
+  [  79/1172] 93.7% accuracy, 8.5 q/s, ETA 129s
+  [  80/1172] 93.8% accuracy, 8.6 q/s, ETA 127s
+  [  81/1172] 93.8% accuracy, 8.4 q/s, ETA 130s
+  [  82/1172] 92.7% accuracy, 8.5 q/s, ETA 129s
+  [  83/1172] 92.8% accuracy, 8.6 q/s, ETA 127s
+  [  84/1172] 92.9% accuracy, 8.7 q/s, ETA 125s
+  [  85/1172] 92.9% accuracy, 8.3 q/s, ETA 130s
+  [  86/1172] 93.0% accuracy, 8.4 q/s, ETA 129s
+  [  87/1172] 93.1% accuracy, 8.5 q/s, ETA 128s
+  [  88/1172] 93.2% accuracy, 8.6 q/s, ETA 126s
+  [  89/1172] 92.1% accuracy, 8.4 q/s, ETA 130s
+  [  90/1172] 92.2% accuracy, 8.5 q/s, ETA 128s
+  [  91/1172] 92.3% accuracy, 8.6 q/s, ETA 126s
+  [  92/1172] 92.4% accuracy, 8.6 q/s, ETA 125s
+  [  93/1172] 92.5% accuracy, 8.3 q/s, ETA 129s
+  [  94/1172] 92.6% accuracy, 8.4 q/s, ETA 128s
+  [  95/1172] 92.6% accuracy, 8.5 q/s, ETA 126s
+  [  96/1172] 92.7% accuracy, 8.6 q/s, ETA 125s
+  [  97/1172] 92.8% accuracy, 8.4 q/s, ETA 128s
+  [  98/1172] 92.9% accuracy, 8.5 q/s, ETA 127s
+  [  99/1172] 92.9% accuracy, 8.6 q/s, ETA 125s
+  [ 100/1172] 93.0% accuracy, 8.6 q/s, ETA 124s
+  [ 101/1172] 93.1% accuracy, 8.4 q/s, ETA 127s
+  [ 102/1172] 93.1% accuracy, 8.5 q/s, ETA 126s
+  [ 103/1172] 93.2% accuracy, 8.6 q/s, ETA 125s
+  [ 104/1172] 93.3% accuracy, 8.6 q/s, ETA 124s
+  [ 105/1172] 93.3% accuracy, 8.4 q/s, ETA 127s
+  [ 106/1172] 93.4% accuracy, 8.5 q/s, ETA 126s
+  [ 107/1172] 93.5% accuracy, 8.6 q/s, ETA 124s
+  [ 108/1172] 93.5% accuracy, 8.7 q/s, ETA 123s
+  [ 109/1172] 93.6% accuracy, 8.4 q/s, ETA 126s
+  [ 110/1172] 93.6% accuracy, 8.5 q/s, ETA 125s
+  [ 111/1172] 92.8% accuracy, 8.6 q/s, ETA 124s
+  [ 112/1172] 92.9% accuracy, 8.7 q/s, ETA 122s
+  [ 113/1172] 92.0% accuracy, 8.5 q/s, ETA 125s
+  [ 114/1172] 92.1% accuracy, 8.6 q/s, ETA 124s
+  [ 115/1172] 92.2% accuracy, 8.6 q/s, ETA 122s
+  [ 116/1172] 92.2% accuracy, 8.7 q/s, ETA 121s
+  [ 117/1172] 92.3% accuracy, 8.5 q/s, ETA 124s
+  [ 118/1172] 92.4% accuracy, 8.6 q/s, ETA 123s
+  [ 119/1172] 92.4% accuracy, 8.7 q/s, ETA 121s
+  [ 120/1172] 92.5% accuracy, 8.7 q/s, ETA 120s
+  [ 121/1172] 92.6% accuracy, 8.6 q/s, ETA 123s
+  [ 122/1172] 92.6% accuracy, 8.6 q/s, ETA 122s
+  [ 123/1172] 92.7% accuracy, 8.7 q/s, ETA 121s
+  [ 124/1172] 92.7% accuracy, 8.8 q/s, ETA 119s
+  [ 125/1172] 92.8% accuracy, 8.6 q/s, ETA 122s
+  [ 126/1172] 92.9% accuracy, 8.7 q/s, ETA 121s
+  [ 127/1172] 92.9% accuracy, 8.7 q/s, ETA 120s
+  [ 128/1172] 93.0% accuracy, 8.8 q/s, ETA 119s
+  [ 129/1172] 93.0% accuracy, 8.6 q/s, ETA 121s
+  [ 130/1172] 93.1% accuracy, 8.7 q/s, ETA 120s
+  [ 131/1172] 93.1% accuracy, 8.8 q/s, ETA 119s
+  [ 132/1172] 93.2% accuracy, 8.8 q/s, ETA 118s
+  [ 133/1172] 93.2% accuracy, 8.7 q/s, ETA 120s
+  [ 134/1172] 93.3% accuracy, 8.7 q/s, ETA 119s
+  [ 135/1172] 93.3% accuracy, 8.8 q/s, ETA 118s
+  [ 136/1172] 93.4% accuracy, 8.9 q/s, ETA 117s
+  [ 137/1172] 93.4% accuracy, 8.7 q/s, ETA 119s
+  [ 138/1172] 93.5% accuracy, 8.8 q/s, ETA 118s
+  [ 139/1172] 93.5% accuracy, 8.8 q/s, ETA 117s
+  [ 140/1172] 92.9% accuracy, 8.9 q/s, ETA 116s
+  [ 141/1172] 92.9% accuracy, 8.7 q/s, ETA 118s
+  [ 142/1172] 93.0% accuracy, 8.8 q/s, ETA 117s
+  [ 143/1172] 93.0% accuracy, 8.8 q/s, ETA 116s
+  [ 144/1172] 93.1% accuracy, 8.9 q/s, ETA 116s
+  [ 145/1172] 93.1% accuracy, 8.7 q/s, ETA 118s
+  [ 146/1172] 93.2% accuracy, 8.8 q/s, ETA 117s
+  [ 147/1172] 93.2% accuracy, 8.9 q/s, ETA 116s
+  [ 148/1172] 93.2% accuracy, 8.9 q/s, ETA 115s
+  [ 149/1172] 93.3% accuracy, 8.8 q/s, ETA 116s
+  [ 150/1172] 93.3% accuracy, 8.8 q/s, ETA 116s
+  [ 151/1172] 93.4% accuracy, 8.9 q/s, ETA 115s
+  [ 152/1172] 93.4% accuracy, 8.9 q/s, ETA 114s
+  [ 153/1172] 93.5% accuracy, 8.8 q/s, ETA 116s
+  [ 154/1172] 92.9% accuracy, 8.9 q/s, ETA 115s
+  [ 155/1172] 92.9% accuracy, 8.9 q/s, ETA 114s
+  [ 156/1172] 92.9% accuracy, 9.0 q/s, ETA 113s
+  [ 157/1172] 93.0% accuracy, 8.8 q/s, ETA 115s
+  [ 158/1172] 93.0% accuracy, 8.9 q/s, ETA 114s
+  [ 159/1172] 93.1% accuracy, 8.9 q/s, ETA 114s
+  [ 160/1172] 93.1% accuracy, 9.0 q/s, ETA 113s
+  [ 161/1172] 93.2% accuracy, 8.8 q/s, ETA 114s
+  [ 162/1172] 93.2% accuracy, 8.9 q/s, ETA 114s
+  [ 163/1172] 92.6% accuracy, 9.0 q/s, ETA 113s
+  [ 164/1172] 92.7% accuracy, 9.0 q/s, ETA 112s
+  [ 165/1172] 92.7% accuracy, 8.9 q/s, ETA 114s
+  [ 166/1172] 92.8% accuracy, 8.9 q/s, ETA 113s
+  [ 167/1172] 92.8% accuracy, 9.0 q/s, ETA 112s
+  [ 168/1172] 92.9% accuracy, 9.0 q/s, ETA 111s
+  [ 169/1172] 92.9% accuracy, 8.9 q/s, ETA 113s
+  [ 170/1172] 92.9% accuracy, 8.9 q/s, ETA 112s
+  [ 171/1172] 93.0% accuracy, 9.0 q/s, ETA 112s
+  [ 172/1172] 93.0% accuracy, 9.0 q/s, ETA 111s
+  [ 173/1172] 93.1% accuracy, 8.9 q/s, ETA 113s
+  [ 174/1172] 93.1% accuracy, 8.9 q/s, ETA 112s
+  [ 175/1172] 93.1% accuracy, 8.9 q/s, ETA 111s
+  [ 176/1172] 93.2% accuracy, 9.0 q/s, ETA 111s
+  [ 177/1172] 93.2% accuracy, 8.9 q/s, ETA 112s
+  [ 178/1172] 93.3% accuracy, 8.9 q/s, ETA 112s
+  [ 179/1172] 93.3% accuracy, 9.0 q/s, ETA 111s
+  [ 180/1172] 93.3% accuracy, 9.0 q/s, ETA 110s
+  [ 181/1172] 93.4% accuracy, 8.9 q/s, ETA 112s
+  [ 182/1172] 93.4% accuracy, 8.9 q/s, ETA 111s
+  [ 183/1172] 92.9% accuracy, 9.0 q/s, ETA 110s
+  [ 184/1172] 92.9% accuracy, 9.0 q/s, ETA 110s
+  [ 185/1172] 93.0% accuracy, 8.9 q/s, ETA 112s
+  [ 186/1172] 93.0% accuracy, 8.9 q/s, ETA 111s
+  [ 187/1172] 93.0% accuracy, 8.9 q/s, ETA 110s
+  [ 188/1172] 93.1% accuracy, 9.0 q/s, ETA 109s
+  [ 189/1172] 93.1% accuracy, 8.8 q/s, ETA 111s
+  [ 190/1172] 93.2% accuracy, 8.9 q/s, ETA 111s
+  [ 191/1172] 92.7% accuracy, 8.9 q/s, ETA 110s
+  [ 192/1172] 92.7% accuracy, 9.0 q/s, ETA 109s
+  [ 193/1172] 92.7% accuracy, 8.9 q/s, ETA 110s
+  [ 194/1172] 92.8% accuracy, 8.9 q/s, ETA 110s
+  [ 195/1172] 92.8% accuracy, 9.0 q/s, ETA 109s
+  [ 196/1172] 92.9% accuracy, 9.0 q/s, ETA 108s
+  [ 197/1172] 92.9% accuracy, 8.9 q/s, ETA 110s
+  [ 198/1172] 92.9% accuracy, 8.9 q/s, ETA 109s
+  [ 199/1172] 93.0% accuracy, 9.0 q/s, ETA 109s
+  [ 200/1172] 93.0% accuracy, 9.0 q/s, ETA 108s
+  [ 201/1172] 93.0% accuracy, 8.9 q/s, ETA 109s
+  [ 202/1172] 93.1% accuracy, 8.9 q/s, ETA 109s
+  [ 203/1172] 93.1% accuracy, 9.0 q/s, ETA 108s
+  [ 204/1172] 93.1% accuracy, 9.0 q/s, ETA 107s
+  [ 205/1172] 93.2% accuracy, 8.9 q/s, ETA 109s
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+  [ 212/1172] 92.9% accuracy, 9.0 q/s, ETA 106s
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+  [ 223/1172] 92.8% accuracy, 9.0 q/s, ETA 105s
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+  [ 233/1172] 93.1% accuracy, 8.9 q/s, ETA 106s
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+  [ 241/1172] 93.4% accuracy, 8.9 q/s, ETA 105s
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+  [ 280/1172] 93.6% accuracy, 9.0 q/s, ETA 99s
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+  [ 284/1172] 93.7% accuracy, 9.0 q/s, ETA 98s
+  [ 285/1172] 93.7% accuracy, 8.9 q/s, ETA 99s
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+  [ 288/1172] 93.8% accuracy, 9.0 q/s, ETA 98s
+  [ 289/1172] 93.8% accuracy, 8.9 q/s, ETA 99s
+  [ 290/1172] 93.8% accuracy, 8.9 q/s, ETA 99s
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+  [ 296/1172] 93.9% accuracy, 9.0 q/s, ETA 97s
+  [ 297/1172] 93.9% accuracy, 8.9 q/s, ETA 98s
+  [ 298/1172] 94.0% accuracy, 8.9 q/s, ETA 98s
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+  [ 301/1172] 94.0% accuracy, 8.9 q/s, ETA 98s
+  [ 302/1172] 94.0% accuracy, 9.0 q/s, ETA 97s
+  [ 303/1172] 94.1% accuracy, 9.0 q/s, ETA 97s
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+  [ 602/1172] 93.4% accuracy, 8.9 q/s, ETA 64s
+  [ 603/1172] 93.4% accuracy, 8.9 q/s, ETA 64s
+  [ 604/1172] 93.4% accuracy, 8.9 q/s, ETA 64s
+  [ 605/1172] 93.4% accuracy, 8.9 q/s, ETA 64s
+  [ 606/1172] 93.4% accuracy, 8.9 q/s, ETA 63s
+  [ 607/1172] 93.4% accuracy, 8.9 q/s, ETA 64s
+  [ 608/1172] 93.4% accuracy, 8.9 q/s, ETA 63s
+  [ 609/1172] 93.4% accuracy, 8.9 q/s, ETA 63s
+  [ 610/1172] 93.4% accuracy, 8.9 q/s, ETA 63s
+  [ 611/1172] 93.5% accuracy, 8.9 q/s, ETA 63s
+  [ 612/1172] 93.5% accuracy, 8.9 q/s, ETA 63s
+  [ 613/1172] 93.5% accuracy, 8.9 q/s, ETA 63s
+  [ 614/1172] 93.5% accuracy, 8.9 q/s, ETA 62s
+  [ 615/1172] 93.5% accuracy, 8.9 q/s, ETA 63s
+  [ 616/1172] 93.5% accuracy, 8.9 q/s, ETA 62s
+  [ 617/1172] 93.5% accuracy, 8.9 q/s, ETA 62s
+  [ 618/1172] 93.5% accuracy, 8.9 q/s, ETA 62s
+  [ 619/1172] 93.5% accuracy, 8.9 q/s, ETA 62s
+  [ 620/1172] 93.5% accuracy, 8.9 q/s, ETA 62s
+  [ 621/1172] 93.6% accuracy, 8.9 q/s, ETA 62s
+  [ 622/1172] 93.6% accuracy, 8.9 q/s, ETA 61s
+  [ 623/1172] 93.6% accuracy, 8.9 q/s, ETA 62s
+  [ 624/1172] 93.6% accuracy, 8.9 q/s, ETA 61s
+  [ 625/1172] 93.6% accuracy, 8.9 q/s, ETA 61s
+  [ 626/1172] 93.6% accuracy, 9.0 q/s, ETA 61s
+  [ 627/1172] 93.6% accuracy, 8.9 q/s, ETA 61s
+  [ 628/1172] 93.6% accuracy, 8.9 q/s, ETA 61s
+  [ 629/1172] 93.6% accuracy, 8.9 q/s, ETA 61s
+  [ 630/1172] 93.7% accuracy, 9.0 q/s, ETA 60s
+  [ 631/1172] 93.7% accuracy, 8.9 q/s, ETA 61s
+  [ 632/1172] 93.7% accuracy, 8.9 q/s, ETA 60s
+  [ 633/1172] 93.7% accuracy, 8.9 q/s, ETA 60s
+  [ 634/1172] 93.7% accuracy, 9.0 q/s, ETA 60s
+  [ 635/1172] 93.7% accuracy, 8.9 q/s, ETA 60s
+  [ 636/1172] 93.7% accuracy, 8.9 q/s, ETA 60s
+  [ 637/1172] 93.7% accuracy, 8.9 q/s, ETA 60s
+  [ 638/1172] 93.7% accuracy, 8.9 q/s, ETA 60s
+  [ 639/1172] 93.7% accuracy, 8.9 q/s, ETA 60s
+  [ 640/1172] 93.8% accuracy, 8.9 q/s, ETA 60s
+  [ 641/1172] 93.8% accuracy, 8.9 q/s, ETA 59s
+  [ 642/1172] 93.8% accuracy, 8.9 q/s, ETA 59s
+  [ 643/1172] 93.8% accuracy, 8.9 q/s, ETA 59s
+  [ 644/1172] 93.8% accuracy, 8.9 q/s, ETA 59s
+  [ 645/1172] 93.8% accuracy, 8.9 q/s, ETA 59s
+  [ 646/1172] 93.8% accuracy, 8.9 q/s, ETA 59s
+  [ 647/1172] 93.8% accuracy, 8.9 q/s, ETA 59s
+  [ 648/1172] 93.7% accuracy, 8.9 q/s, ETA 59s
+  [ 649/1172] 93.7% accuracy, 8.9 q/s, ETA 58s
+  [ 650/1172] 93.7% accuracy, 9.0 q/s, ETA 58s
+  [ 651/1172] 93.7% accuracy, 8.9 q/s, ETA 58s
+  [ 652/1172] 93.7% accuracy, 8.9 q/s, ETA 58s
+  [ 653/1172] 93.7% accuracy, 8.9 q/s, ETA 58s
+  [ 654/1172] 93.7% accuracy, 9.0 q/s, ETA 58s
+  [ 655/1172] 93.6% accuracy, 8.9 q/s, ETA 58s
+  [ 656/1172] 93.6% accuracy, 8.9 q/s, ETA 58s
+  [ 657/1172] 93.6% accuracy, 8.9 q/s, ETA 58s
+  [ 658/1172] 93.6% accuracy, 9.0 q/s, ETA 57s
+  [ 659/1172] 93.6% accuracy, 8.9 q/s, ETA 58s
+  [ 660/1172] 93.6% accuracy, 8.9 q/s, ETA 57s
+  [ 661/1172] 93.6% accuracy, 8.9 q/s, ETA 57s
+  [ 662/1172] 93.7% accuracy, 9.0 q/s, ETA 57s
+  [ 663/1172] 93.7% accuracy, 8.9 q/s, ETA 57s
+  [ 664/1172] 93.5% accuracy, 8.9 q/s, ETA 57s
+  [ 665/1172] 93.5% accuracy, 8.9 q/s, ETA 57s
+  [ 666/1172] 93.5% accuracy, 9.0 q/s, ETA 56s
+  [ 667/1172] 93.6% accuracy, 8.9 q/s, ETA 57s
+  [ 668/1172] 93.6% accuracy, 8.9 q/s, ETA 56s
+  [ 669/1172] 93.6% accuracy, 8.9 q/s, ETA 56s
+  [ 670/1172] 93.6% accuracy, 9.0 q/s, ETA 56s
+  [ 671/1172] 93.4% accuracy, 8.9 q/s, ETA 56s
+  [ 672/1172] 93.5% accuracy, 8.9 q/s, ETA 56s
+  [ 673/1172] 93.5% accuracy, 9.0 q/s, ETA 56s
+  [ 674/1172] 93.5% accuracy, 9.0 q/s, ETA 56s
+  [ 675/1172] 93.5% accuracy, 8.9 q/s, ETA 56s
+  [ 676/1172] 93.5% accuracy, 8.9 q/s, ETA 55s
+  [ 677/1172] 93.5% accuracy, 9.0 q/s, ETA 55s
+  [ 678/1172] 93.5% accuracy, 9.0 q/s, ETA 55s
+  [ 679/1172] 93.5% accuracy, 8.9 q/s, ETA 55s
+  [ 680/1172] 93.5% accuracy, 8.9 q/s, ETA 55s
+  [ 681/1172] 93.5% accuracy, 9.0 q/s, ETA 55s
+  [ 682/1172] 93.5% accuracy, 9.0 q/s, ETA 55s
+  [ 683/1172] 93.6% accuracy, 8.9 q/s, ETA 55s
+  [ 684/1172] 93.6% accuracy, 9.0 q/s, ETA 55s
+  [ 685/1172] 93.6% accuracy, 9.0 q/s, ETA 54s
+  [ 686/1172] 93.6% accuracy, 9.0 q/s, ETA 54s
+  [ 687/1172] 93.6% accuracy, 9.0 q/s, ETA 54s
+  [ 688/1172] 93.6% accuracy, 9.0 q/s, ETA 54s
+  [ 689/1172] 93.6% accuracy, 9.0 q/s, ETA 54s
+  [ 690/1172] 93.6% accuracy, 9.0 q/s, ETA 54s
+  [ 691/1172] 93.6% accuracy, 9.0 q/s, ETA 54s
+  [ 692/1172] 93.6% accuracy, 9.0 q/s, ETA 54s
+  [ 693/1172] 93.7% accuracy, 9.0 q/s, ETA 53s
+  [ 694/1172] 93.7% accuracy, 9.0 q/s, ETA 53s
+  [ 695/1172] 93.7% accuracy, 9.0 q/s, ETA 53s
+  [ 696/1172] 93.7% accuracy, 9.0 q/s, ETA 53s
+  [ 697/1172] 93.7% accuracy, 9.0 q/s, ETA 53s
+  [ 698/1172] 93.7% accuracy, 9.0 q/s, ETA 53s
+  [ 699/1172] 93.7% accuracy, 9.0 q/s, ETA 53s
+  [ 700/1172] 93.7% accuracy, 9.0 q/s, ETA 53s
+  [ 701/1172] 93.7% accuracy, 9.0 q/s, ETA 52s
+  [ 702/1172] 93.7% accuracy, 9.0 q/s, ETA 52s
+  [ 703/1172] 93.7% accuracy, 9.0 q/s, ETA 52s
+  [ 704/1172] 93.8% accuracy, 9.0 q/s, ETA 52s
+  [ 705/1172] 93.8% accuracy, 9.0 q/s, ETA 52s
+  [ 706/1172] 93.8% accuracy, 9.0 q/s, ETA 52s
+  [ 707/1172] 93.8% accuracy, 9.0 q/s, ETA 52s
+  [ 708/1172] 93.6% accuracy, 9.0 q/s, ETA 52s
+  [ 709/1172] 93.7% accuracy, 9.0 q/s, ETA 52s
+  [ 710/1172] 93.7% accuracy, 9.0 q/s, ETA 51s
+  [ 711/1172] 93.7% accuracy, 9.0 q/s, ETA 51s
+  [ 712/1172] 93.7% accuracy, 9.0 q/s, ETA 51s
+  [ 713/1172] 93.5% accuracy, 9.0 q/s, ETA 51s
+  [ 714/1172] 93.6% accuracy, 9.0 q/s, ETA 51s
+  [ 715/1172] 93.6% accuracy, 9.0 q/s, ETA 51s
+  [ 716/1172] 93.6% accuracy, 9.0 q/s, ETA 51s
+  [ 717/1172] 93.6% accuracy, 9.0 q/s, ETA 51s
+  [ 718/1172] 93.5% accuracy, 9.0 q/s, ETA 50s
+  [ 719/1172] 93.5% accuracy, 9.0 q/s, ETA 51s
+  [ 720/1172] 93.5% accuracy, 9.0 q/s, ETA 50s
+  [ 721/1172] 93.5% accuracy, 9.0 q/s, ETA 50s
+  [ 722/1172] 93.5% accuracy, 9.0 q/s, ETA 50s
+  [ 723/1172] 93.5% accuracy, 9.0 q/s, ETA 50s
+  [ 724/1172] 93.5% accuracy, 9.0 q/s, ETA 50s
+  [ 725/1172] 93.5% accuracy, 9.0 q/s, ETA 50s
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+  [ 727/1172] 93.5% accuracy, 9.0 q/s, ETA 50s
+  [ 728/1172] 93.5% accuracy, 9.0 q/s, ETA 49s
+  [ 729/1172] 93.6% accuracy, 9.0 q/s, ETA 49s
+  [ 730/1172] 93.6% accuracy, 9.0 q/s, ETA 49s
+  [ 731/1172] 93.6% accuracy, 9.0 q/s, ETA 49s
+  [ 732/1172] 93.6% accuracy, 9.0 q/s, ETA 49s
+  [ 733/1172] 93.6% accuracy, 9.0 q/s, ETA 49s
+  [ 734/1172] 93.6% accuracy, 9.0 q/s, ETA 49s
+  [ 735/1172] 93.6% accuracy, 9.0 q/s, ETA 49s
+  [ 736/1172] 93.6% accuracy, 9.0 q/s, ETA 49s
+  [ 737/1172] 93.6% accuracy, 9.0 q/s, ETA 48s
+  [ 738/1172] 93.6% accuracy, 9.0 q/s, ETA 48s
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+  [ 740/1172] 93.6% accuracy, 9.0 q/s, ETA 48s
+  [ 741/1172] 93.7% accuracy, 9.0 q/s, ETA 48s
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+  [ 743/1172] 93.7% accuracy, 9.0 q/s, ETA 48s
+  [ 744/1172] 93.7% accuracy, 9.0 q/s, ETA 48s
+  [ 745/1172] 93.6% accuracy, 9.0 q/s, ETA 47s
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+  [ 747/1172] 93.4% accuracy, 9.0 q/s, ETA 47s
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+  [ 749/1172] 93.5% accuracy, 9.0 q/s, ETA 47s
+  [ 750/1172] 93.5% accuracy, 9.0 q/s, ETA 47s
+  [ 751/1172] 93.5% accuracy, 9.0 q/s, ETA 47s
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+  [ 753/1172] 93.5% accuracy, 9.0 q/s, ETA 47s
+  [ 754/1172] 93.5% accuracy, 9.0 q/s, ETA 46s
+  [ 755/1172] 93.5% accuracy, 9.0 q/s, ETA 46s
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+  [ 763/1172] 93.4% accuracy, 9.0 q/s, ETA 46s
+  [ 764/1172] 93.5% accuracy, 9.0 q/s, ETA 45s
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+  [ 768/1172] 93.5% accuracy, 9.0 q/s, ETA 45s
+  [ 769/1172] 93.5% accuracy, 9.0 q/s, ETA 45s
+  [ 770/1172] 93.5% accuracy, 9.0 q/s, ETA 45s
+  [ 771/1172] 93.5% accuracy, 9.0 q/s, ETA 45s
+  [ 772/1172] 93.5% accuracy, 9.0 q/s, ETA 45s
+  [ 773/1172] 93.5% accuracy, 9.0 q/s, ETA 44s
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+  [ 776/1172] 93.6% accuracy, 9.0 q/s, ETA 44s
+  [ 777/1172] 93.6% accuracy, 9.0 q/s, ETA 44s
+  [ 778/1172] 93.4% accuracy, 9.0 q/s, ETA 44s
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+  [ 780/1172] 93.5% accuracy, 9.0 q/s, ETA 44s
+  [ 781/1172] 93.5% accuracy, 9.0 q/s, ETA 43s
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+  [ 784/1172] 93.5% accuracy, 9.0 q/s, ETA 43s
+  [ 785/1172] 93.5% accuracy, 9.0 q/s, ETA 43s
+  [ 786/1172] 93.4% accuracy, 9.0 q/s, ETA 43s
+  [ 787/1172] 93.4% accuracy, 9.0 q/s, ETA 43s
+  [ 788/1172] 93.3% accuracy, 9.0 q/s, ETA 43s
+  [ 789/1172] 93.3% accuracy, 9.0 q/s, ETA 43s
+  [ 790/1172] 93.3% accuracy, 9.0 q/s, ETA 42s
+  [ 791/1172] 93.3% accuracy, 9.0 q/s, ETA 42s
+  [ 792/1172] 93.3% accuracy, 9.0 q/s, ETA 42s
+  [ 793/1172] 93.3% accuracy, 9.0 q/s, ETA 42s
+  [ 794/1172] 93.3% accuracy, 9.0 q/s, ETA 42s
+  [ 795/1172] 93.2% accuracy, 9.0 q/s, ETA 42s
+  [ 796/1172] 93.2% accuracy, 9.0 q/s, ETA 42s
+  [ 797/1172] 93.2% accuracy, 9.0 q/s, ETA 42s
+  [ 798/1172] 93.2% accuracy, 9.0 q/s, ETA 41s
+  [ 799/1172] 93.2% accuracy, 9.0 q/s, ETA 41s
+  [ 800/1172] 93.2% accuracy, 9.0 q/s, ETA 41s
+  [ 801/1172] 93.3% accuracy, 9.0 q/s, ETA 41s
+  [ 802/1172] 93.3% accuracy, 9.0 q/s, ETA 41s
+  [ 803/1172] 93.3% accuracy, 9.0 q/s, ETA 41s
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+  [ 805/1172] 93.3% accuracy, 9.0 q/s, ETA 41s
+  [ 806/1172] 93.3% accuracy, 9.0 q/s, ETA 41s
+  [ 807/1172] 93.3% accuracy, 9.0 q/s, ETA 41s
+  [ 808/1172] 93.3% accuracy, 9.0 q/s, ETA 40s
+  [ 809/1172] 93.2% accuracy, 9.0 q/s, ETA 40s
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+  [ 811/1172] 93.2% accuracy, 9.0 q/s, ETA 40s
+  [ 812/1172] 93.2% accuracy, 9.0 q/s, ETA 40s
+  [ 813/1172] 93.2% accuracy, 9.0 q/s, ETA 40s
+  [ 814/1172] 93.2% accuracy, 9.0 q/s, ETA 40s
+  [ 815/1172] 93.3% accuracy, 9.0 q/s, ETA 40s
+  [ 816/1172] 93.3% accuracy, 9.0 q/s, ETA 40s
+  [ 817/1172] 93.3% accuracy, 9.0 q/s, ETA 39s
+  [ 818/1172] 93.2% accuracy, 9.0 q/s, ETA 39s
+  [ 819/1172] 93.2% accuracy, 9.0 q/s, ETA 39s
+  [ 820/1172] 93.2% accuracy, 9.0 q/s, ETA 39s
+  [ 821/1172] 93.2% accuracy, 9.0 q/s, ETA 39s
+  [ 822/1172] 93.2% accuracy, 9.0 q/s, ETA 39s
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+  [ 826/1172] 93.2% accuracy, 9.0 q/s, ETA 38s
+  [ 827/1172] 93.2% accuracy, 9.0 q/s, ETA 38s
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+  [ 829/1172] 93.2% accuracy, 9.0 q/s, ETA 38s
+  [ 830/1172] 93.3% accuracy, 9.0 q/s, ETA 38s
+  [ 831/1172] 93.3% accuracy, 9.0 q/s, ETA 38s
+  [ 832/1172] 93.3% accuracy, 9.0 q/s, ETA 38s
+  [ 833/1172] 93.3% accuracy, 9.0 q/s, ETA 38s
+  [ 834/1172] 93.3% accuracy, 9.0 q/s, ETA 37s
+  [ 835/1172] 93.3% accuracy, 9.0 q/s, ETA 37s
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+  [ 844/1172] 93.2% accuracy, 9.0 q/s, ETA 36s
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+  [ 872/1172] 92.9% accuracy, 9.0 q/s, ETA 33s
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+  [ 880/1172] 92.8% accuracy, 9.0 q/s, ETA 32s
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+  [ 887/1172] 92.8% accuracy, 9.0 q/s, ETA 32s
+  [ 888/1172] 92.8% accuracy, 9.0 q/s, ETA 32s
+  [ 889/1172] 92.8% accuracy, 9.0 q/s, ETA 32s
+  [ 890/1172] 92.8% accuracy, 9.0 q/s, ETA 31s
+  [ 891/1172] 92.8% accuracy, 9.0 q/s, ETA 31s
+  [ 892/1172] 92.8% accuracy, 9.0 q/s, ETA 31s
+  [ 893/1172] 92.8% accuracy, 9.0 q/s, ETA 31s
+  [ 894/1172] 92.8% accuracy, 9.0 q/s, ETA 31s
+  [ 895/1172] 92.8% accuracy, 9.0 q/s, ETA 31s
+  [ 896/1172] 92.9% accuracy, 9.0 q/s, ETA 31s
+  [ 897/1172] 92.9% accuracy, 9.0 q/s, ETA 31s
+  [ 898/1172] 92.9% accuracy, 9.0 q/s, ETA 30s
+  [ 899/1172] 92.9% accuracy, 9.0 q/s, ETA 30s
+  [ 900/1172] 92.9% accuracy, 9.0 q/s, ETA 30s
+  [ 901/1172] 92.9% accuracy, 9.0 q/s, ETA 30s
+  [ 902/1172] 92.9% accuracy, 9.0 q/s, ETA 30s
+  [ 903/1172] 92.9% accuracy, 9.0 q/s, ETA 30s
+  [ 904/1172] 92.9% accuracy, 9.0 q/s, ETA 30s
+  [ 905/1172] 92.9% accuracy, 9.0 q/s, ETA 30s
+  [ 906/1172] 92.9% accuracy, 9.0 q/s, ETA 30s
+  [ 907/1172] 92.9% accuracy, 9.0 q/s, ETA 30s
+  [ 908/1172] 93.0% accuracy, 9.0 q/s, ETA 29s
+  [ 909/1172] 93.0% accuracy, 9.0 q/s, ETA 29s
+  [ 910/1172] 93.0% accuracy, 9.0 q/s, ETA 29s
+  [ 911/1172] 93.0% accuracy, 9.0 q/s, ETA 29s
+  [ 912/1172] 93.0% accuracy, 9.0 q/s, ETA 29s
+  [ 913/1172] 93.0% accuracy, 9.0 q/s, ETA 29s
+  [ 914/1172] 92.9% accuracy, 9.0 q/s, ETA 29s
+  [ 915/1172] 92.9% accuracy, 9.0 q/s, ETA 29s
+  [ 916/1172] 92.9% accuracy, 9.0 q/s, ETA 29s
+  [ 917/1172] 92.9% accuracy, 9.0 q/s, ETA 28s
+  [ 918/1172] 92.9% accuracy, 9.0 q/s, ETA 28s
+  [ 919/1172] 92.8% accuracy, 9.0 q/s, ETA 28s
+  [ 920/1172] 92.8% accuracy, 9.0 q/s, ETA 28s
+  [ 921/1172] 92.8% accuracy, 9.0 q/s, ETA 28s
+  [ 922/1172] 92.8% accuracy, 9.0 q/s, ETA 28s
+  [ 923/1172] 92.8% accuracy, 9.0 q/s, ETA 28s
+  [ 924/1172] 92.9% accuracy, 9.0 q/s, ETA 28s
+  [ 925/1172] 92.9% accuracy, 9.0 q/s, ETA 28s
+  [ 926/1172] 92.9% accuracy, 9.0 q/s, ETA 27s
+  [ 927/1172] 92.9% accuracy, 9.0 q/s, ETA 27s
+  [ 928/1172] 92.9% accuracy, 9.0 q/s, ETA 27s
+  [ 929/1172] 92.9% accuracy, 9.0 q/s, ETA 27s
+  [ 930/1172] 92.9% accuracy, 9.0 q/s, ETA 27s
+  [ 931/1172] 92.9% accuracy, 9.0 q/s, ETA 27s
+  [ 932/1172] 92.8% accuracy, 9.0 q/s, ETA 27s
+  [ 933/1172] 92.8% accuracy, 9.0 q/s, ETA 27s
+  [ 934/1172] 92.8% accuracy, 9.0 q/s, ETA 26s
+  [ 935/1172] 92.8% accuracy, 9.0 q/s, ETA 26s
+  [ 936/1172] 92.8% accuracy, 9.0 q/s, ETA 26s
+  [ 937/1172] 92.8% accuracy, 9.0 q/s, ETA 26s
+  [ 938/1172] 92.8% accuracy, 9.0 q/s, ETA 26s
+  [ 939/1172] 92.8% accuracy, 9.0 q/s, ETA 26s
+  [ 940/1172] 92.8% accuracy, 9.0 q/s, ETA 26s
+  [ 941/1172] 92.8% accuracy, 9.0 q/s, ETA 26s
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+  [ 944/1172] 92.8% accuracy, 9.0 q/s, ETA 25s
+  [ 945/1172] 92.8% accuracy, 9.0 q/s, ETA 25s
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+  [ 957/1172] 92.8% accuracy, 9.0 q/s, ETA 24s
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+  [ 959/1172] 92.8% accuracy, 9.0 q/s, ETA 24s
+  [ 960/1172] 92.8% accuracy, 9.0 q/s, ETA 24s
+  [ 961/1172] 92.8% accuracy, 9.0 q/s, ETA 23s
+  [ 962/1172] 92.8% accuracy, 9.0 q/s, ETA 23s
+  [ 963/1172] 92.7% accuracy, 9.0 q/s, ETA 23s
+  [ 964/1172] 92.6% accuracy, 9.0 q/s, ETA 23s
+  [ 965/1172] 92.6% accuracy, 9.0 q/s, ETA 23s
+  [ 966/1172] 92.7% accuracy, 9.0 q/s, ETA 23s
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+  [ 968/1172] 92.6% accuracy, 9.0 q/s, ETA 23s
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+  [ 970/1172] 92.6% accuracy, 9.0 q/s, ETA 22s
+  [ 971/1172] 92.6% accuracy, 9.0 q/s, ETA 22s
+  [ 972/1172] 92.6% accuracy, 9.0 q/s, ETA 22s
+  [ 973/1172] 92.6% accuracy, 9.0 q/s, ETA 22s
+  [ 974/1172] 92.6% accuracy, 9.0 q/s, ETA 22s
+  [ 975/1172] 92.6% accuracy, 9.0 q/s, ETA 22s
+  [ 976/1172] 92.5% accuracy, 9.0 q/s, ETA 22s
+  [ 977/1172] 92.5% accuracy, 9.0 q/s, ETA 22s
+  [ 978/1172] 92.5% accuracy, 9.0 q/s, ETA 22s
+  [ 979/1172] 92.5% accuracy, 9.0 q/s, ETA 21s
+  [ 980/1172] 92.6% accuracy, 9.0 q/s, ETA 21s
+  [ 981/1172] 92.6% accuracy, 9.0 q/s, ETA 21s
+  [ 982/1172] 92.6% accuracy, 9.0 q/s, ETA 21s
+  [ 983/1172] 92.6% accuracy, 9.0 q/s, ETA 21s
+  [ 984/1172] 92.6% accuracy, 9.0 q/s, ETA 21s
+  [ 985/1172] 92.5% accuracy, 9.0 q/s, ETA 21s
+  [ 986/1172] 92.5% accuracy, 9.0 q/s, ETA 21s
+  [ 987/1172] 92.5% accuracy, 9.0 q/s, ETA 21s
+  [ 988/1172] 92.5% accuracy, 9.0 q/s, ETA 20s
+  [ 989/1172] 92.5% accuracy, 9.0 q/s, ETA 20s
+  [ 990/1172] 92.5% accuracy, 9.0 q/s, ETA 20s
+  [ 991/1172] 92.5% accuracy, 9.0 q/s, ETA 20s
+  [ 992/1172] 92.5% accuracy, 9.0 q/s, ETA 20s
+  [ 993/1172] 92.5% accuracy, 9.0 q/s, ETA 20s
+  [ 994/1172] 92.6% accuracy, 9.0 q/s, ETA 20s
+  [ 995/1172] 92.6% accuracy, 9.0 q/s, ETA 20s
+  [ 996/1172] 92.6% accuracy, 9.0 q/s, ETA 20s
+  [ 997/1172] 92.6% accuracy, 9.0 q/s, ETA 19s
+  [ 998/1172] 92.6% accuracy, 9.0 q/s, ETA 19s
+  [ 999/1172] 92.6% accuracy, 9.0 q/s, ETA 19s
+  [1000/1172] 92.6% accuracy, 9.0 q/s, ETA 19s
+  [1001/1172] 92.6% accuracy, 9.0 q/s, ETA 19s
+  [1002/1172] 92.6% accuracy, 9.0 q/s, ETA 19s
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+  [1006/1172] 92.6% accuracy, 9.0 q/s, ETA 18s
+  [1007/1172] 92.7% accuracy, 9.0 q/s, ETA 18s
+  [1008/1172] 92.7% accuracy, 9.0 q/s, ETA 18s
+  [1009/1172] 92.7% accuracy, 9.0 q/s, ETA 18s
+  [1010/1172] 92.7% accuracy, 9.0 q/s, ETA 18s
+  [1011/1172] 92.7% accuracy, 9.0 q/s, ETA 18s
+  [1012/1172] 92.7% accuracy, 9.0 q/s, ETA 18s
+  [1013/1172] 92.7% accuracy, 9.0 q/s, ETA 18s
+  [1014/1172] 92.7% accuracy, 9.0 q/s, ETA 18s
+  [1015/1172] 92.7% accuracy, 9.0 q/s, ETA 17s
+  [1016/1172] 92.7% accuracy, 9.0 q/s, ETA 17s
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+  [1019/1172] 92.7% accuracy, 9.0 q/s, ETA 17s
+  [1020/1172] 92.7% accuracy, 9.0 q/s, ETA 17s
+  [1021/1172] 92.8% accuracy, 9.0 q/s, ETA 17s
+  [1022/1172] 92.8% accuracy, 9.0 q/s, ETA 17s
+  [1023/1172] 92.8% accuracy, 9.0 q/s, ETA 17s
+  [1024/1172] 92.7% accuracy, 9.0 q/s, ETA 16s
+  [1025/1172] 92.7% accuracy, 9.0 q/s, ETA 16s
+  [1026/1172] 92.7% accuracy, 9.0 q/s, ETA 16s
+  [1027/1172] 92.7% accuracy, 9.0 q/s, ETA 16s
+  [1028/1172] 92.7% accuracy, 9.0 q/s, ETA 16s
+  [1029/1172] 92.7% accuracy, 9.0 q/s, ETA 16s
+  [1030/1172] 92.7% accuracy, 9.0 q/s, ETA 16s
+  [1031/1172] 92.7% accuracy, 9.0 q/s, ETA 16s
+  [1032/1172] 92.7% accuracy, 9.0 q/s, ETA 16s
+  [1033/1172] 92.7% accuracy, 9.0 q/s, ETA 15s
+  [1034/1172] 92.7% accuracy, 9.0 q/s, ETA 15s
+  [1035/1172] 92.8% accuracy, 9.0 q/s, ETA 15s
+  [1036/1172] 92.8% accuracy, 9.0 q/s, ETA 15s
+  [1037/1172] 92.8% accuracy, 9.0 q/s, ETA 15s
+  [1038/1172] 92.8% accuracy, 9.0 q/s, ETA 15s
+  [1039/1172] 92.8% accuracy, 9.0 q/s, ETA 15s
+  [1040/1172] 92.8% accuracy, 9.0 q/s, ETA 15s
+  [1041/1172] 92.8% accuracy, 9.0 q/s, ETA 15s
+  [1042/1172] 92.8% accuracy, 9.0 q/s, ETA 14s
+  [1043/1172] 92.8% accuracy, 9.0 q/s, ETA 14s
+  [1044/1172] 92.8% accuracy, 9.0 q/s, ETA 14s
+  [1045/1172] 92.8% accuracy, 9.0 q/s, ETA 14s
+  [1046/1172] 92.8% accuracy, 9.0 q/s, ETA 14s
+  [1047/1172] 92.7% accuracy, 9.0 q/s, ETA 14s
+  [1048/1172] 92.7% accuracy, 9.0 q/s, ETA 14s
+  [1049/1172] 92.8% accuracy, 9.0 q/s, ETA 14s
+  [1050/1172] 92.8% accuracy, 9.0 q/s, ETA 14s
+  [1051/1172] 92.8% accuracy, 9.0 q/s, ETA 13s
+  [1052/1172] 92.8% accuracy, 9.0 q/s, ETA 13s
+  [1053/1172] 92.7% accuracy, 9.0 q/s, ETA 13s
+  [1054/1172] 92.7% accuracy, 9.0 q/s, ETA 13s
+  [1055/1172] 92.7% accuracy, 9.0 q/s, ETA 13s
+  [1056/1172] 92.7% accuracy, 9.0 q/s, ETA 13s
+  [1057/1172] 92.7% accuracy, 9.0 q/s, ETA 13s
+  [1058/1172] 92.7% accuracy, 9.0 q/s, ETA 13s
+  [1059/1172] 92.7% accuracy, 9.0 q/s, ETA 13s
+  [1060/1172] 92.7% accuracy, 9.0 q/s, ETA 12s
+  [1061/1172] 92.7% accuracy, 9.0 q/s, ETA 12s
+  [1062/1172] 92.7% accuracy, 9.0 q/s, ETA 12s
+  [1063/1172] 92.8% accuracy, 9.0 q/s, ETA 12s
+  [1064/1172] 92.8% accuracy, 9.0 q/s, ETA 12s
+  [1065/1172] 92.8% accuracy, 9.0 q/s, ETA 12s
+  [1066/1172] 92.7% accuracy, 9.0 q/s, ETA 12s
+  [1067/1172] 92.7% accuracy, 9.0 q/s, ETA 12s
+  [1068/1172] 92.7% accuracy, 9.0 q/s, ETA 12s
+  [1069/1172] 92.7% accuracy, 9.0 q/s, ETA 11s
+  [1070/1172] 92.7% accuracy, 9.0 q/s, ETA 11s
+  [1071/1172] 92.7% accuracy, 9.0 q/s, ETA 11s
+  [1072/1172] 92.7% accuracy, 9.0 q/s, ETA 11s
+  [1073/1172] 92.7% accuracy, 9.0 q/s, ETA 11s
+  [1074/1172] 92.7% accuracy, 9.0 q/s, ETA 11s
+  [1075/1172] 92.7% accuracy, 9.0 q/s, ETA 11s
+  [1076/1172] 92.8% accuracy, 9.0 q/s, ETA 11s
+  [1077/1172] 92.8% accuracy, 9.0 q/s, ETA 11s
+  [1078/1172] 92.8% accuracy, 9.0 q/s, ETA 10s
+  [1079/1172] 92.8% accuracy, 9.0 q/s, ETA 10s
+  [1080/1172] 92.8% accuracy, 9.0 q/s, ETA 10s
+  [1081/1172] 92.8% accuracy, 9.0 q/s, ETA 10s
+  [1082/1172] 92.8% accuracy, 9.0 q/s, ETA 10s
+  [1083/1172] 92.8% accuracy, 9.0 q/s, ETA 10s
+  [1084/1172] 92.8% accuracy, 9.0 q/s, ETA 10s
+  [1085/1172] 92.8% accuracy, 9.0 q/s, ETA 10s
+  [1086/1172] 92.8% accuracy, 9.0 q/s, ETA 10s
+  [1087/1172] 92.8% accuracy, 9.0 q/s, ETA 9s
+  [1088/1172] 92.8% accuracy, 9.0 q/s, ETA 9s
+  [1089/1172] 92.8% accuracy, 9.0 q/s, ETA 9s
+  [1090/1172] 92.8% accuracy, 9.0 q/s, ETA 9s
+  [1091/1172] 92.9% accuracy, 9.0 q/s, ETA 9s
+  [1092/1172] 92.9% accuracy, 9.0 q/s, ETA 9s
+  [1093/1172] 92.8% accuracy, 9.0 q/s, ETA 9s
+  [1094/1172] 92.8% accuracy, 9.0 q/s, ETA 9s
+  [1095/1172] 92.8% accuracy, 9.0 q/s, ETA 9s
+  [1096/1172] 92.8% accuracy, 9.0 q/s, ETA 8s
+  [1097/1172] 92.8% accuracy, 9.0 q/s, ETA 8s
+  [1098/1172] 92.8% accuracy, 9.0 q/s, ETA 8s
+  [1099/1172] 92.8% accuracy, 9.0 q/s, ETA 8s
+  [1100/1172] 92.8% accuracy, 9.0 q/s, ETA 8s
+  [1101/1172] 92.8% accuracy, 9.0 q/s, ETA 8s
+  [1102/1172] 92.8% accuracy, 9.0 q/s, ETA 8s
+  [1103/1172] 92.8% accuracy, 9.0 q/s, ETA 8s
+  [1104/1172] 92.8% accuracy, 9.0 q/s, ETA 8s
+  [1105/1172] 92.9% accuracy, 9.0 q/s, ETA 7s
+  [1106/1172] 92.9% accuracy, 9.0 q/s, ETA 7s
+  [1107/1172] 92.9% accuracy, 9.0 q/s, ETA 7s
+  [1108/1172] 92.9% accuracy, 9.0 q/s, ETA 7s
+  [1109/1172] 92.9% accuracy, 9.0 q/s, ETA 7s
+  [1110/1172] 92.9% accuracy, 9.0 q/s, ETA 7s
+  [1111/1172] 92.9% accuracy, 9.0 q/s, ETA 7s
+  [1112/1172] 92.9% accuracy, 9.0 q/s, ETA 7s
+  [1113/1172] 92.9% accuracy, 9.0 q/s, ETA 7s
+  [1114/1172] 92.9% accuracy, 9.0 q/s, ETA 6s
+  [1115/1172] 92.9% accuracy, 9.0 q/s, ETA 6s
+  [1116/1172] 92.9% accuracy, 9.0 q/s, ETA 6s
+  [1117/1172] 92.8% accuracy, 9.0 q/s, ETA 6s
+  [1118/1172] 92.8% accuracy, 9.0 q/s, ETA 6s
+  [1119/1172] 92.8% accuracy, 9.0 q/s, ETA 6s
+  [1120/1172] 92.8% accuracy, 9.0 q/s, ETA 6s
+  [1121/1172] 92.8% accuracy, 9.0 q/s, ETA 6s
+  [1122/1172] 92.8% accuracy, 9.0 q/s, ETA 6s
+  [1123/1172] 92.8% accuracy, 9.0 q/s, ETA 5s
+  [1124/1172] 92.7% accuracy, 9.0 q/s, ETA 5s
+  [1125/1172] 92.7% accuracy, 9.0 q/s, ETA 5s
+  [1126/1172] 92.7% accuracy, 9.0 q/s, ETA 5s
+  [1127/1172] 92.7% accuracy, 9.0 q/s, ETA 5s
+  [1128/1172] 92.7% accuracy, 9.0 q/s, ETA 5s
+  [1129/1172] 92.7% accuracy, 9.0 q/s, ETA 5s
+  [1130/1172] 92.7% accuracy, 9.0 q/s, ETA 5s
+  [1131/1172] 92.7% accuracy, 9.0 q/s, ETA 5s
+  [1132/1172] 92.8% accuracy, 9.0 q/s, ETA 4s
+  [1133/1172] 92.8% accuracy, 9.0 q/s, ETA 4s
+  [1134/1172] 92.8% accuracy, 9.0 q/s, ETA 4s
+  [1135/1172] 92.8% accuracy, 9.0 q/s, ETA 4s
+  [1136/1172] 92.7% accuracy, 9.0 q/s, ETA 4s
+  [1137/1172] 92.6% accuracy, 9.0 q/s, ETA 4s
+  [1138/1172] 92.6% accuracy, 9.0 q/s, ETA 4s
+  [1139/1172] 92.6% accuracy, 9.0 q/s, ETA 4s
+  [1140/1172] 92.6% accuracy, 9.0 q/s, ETA 4s
+  [1141/1172] 92.6% accuracy, 9.0 q/s, ETA 3s
+  [1142/1172] 92.6% accuracy, 9.0 q/s, ETA 3s
+  [1143/1172] 92.7% accuracy, 9.0 q/s, ETA 3s
+  [1144/1172] 92.7% accuracy, 9.0 q/s, ETA 3s
+  [1145/1172] 92.7% accuracy, 9.0 q/s, ETA 3s
+  [1146/1172] 92.7% accuracy, 9.0 q/s, ETA 3s
+  [1147/1172] 92.7% accuracy, 9.0 q/s, ETA 3s
+  [1148/1172] 92.7% accuracy, 9.0 q/s, ETA 3s
+  [1149/1172] 92.7% accuracy, 9.0 q/s, ETA 3s
+  [1150/1172] 92.7% accuracy, 9.0 q/s, ETA 2s
+  [1151/1172] 92.7% accuracy, 9.0 q/s, ETA 2s
+  [1152/1172] 92.7% accuracy, 9.0 q/s, ETA 2s
+  [1153/1172] 92.6% accuracy, 9.0 q/s, ETA 2s
+  [1154/1172] 92.6% accuracy, 9.0 q/s, ETA 2s
+  [1155/1172] 92.6% accuracy, 9.0 q/s, ETA 2s
+  [1156/1172] 92.6% accuracy, 9.0 q/s, ETA 2s
+  [1157/1172] 92.7% accuracy, 9.0 q/s, ETA 2s
+  [1158/1172] 92.7% accuracy, 9.0 q/s, ETA 2s
+  [1159/1172] 92.7% accuracy, 9.0 q/s, ETA 1s
+  [1160/1172] 92.7% accuracy, 9.0 q/s, ETA 1s
+  [1161/1172] 92.7% accuracy, 9.0 q/s, ETA 1s
+  [1162/1172] 92.7% accuracy, 9.0 q/s, ETA 1s
+  [1163/1172] 92.7% accuracy, 9.0 q/s, ETA 1s
+  [1164/1172] 92.6% accuracy, 9.0 q/s, ETA 1s
+  [1165/1172] 92.6% accuracy, 9.0 q/s, ETA 1s
+  [1166/1172] 92.6% accuracy, 9.0 q/s, ETA 1s
+  [1167/1172] 92.6% accuracy, 9.0 q/s, ETA 1s
+  [1168/1172] 92.6% accuracy, 9.0 q/s, ETA 0s
+  [1169/1172] 92.6% accuracy, 9.0 q/s, ETA 0s
+  [1170/1172] 92.6% accuracy, 9.0 q/s, ETA 0s
+  [1171/1172] 92.7% accuracy, 9.0 q/s, ETA 0s
+  [1172/1172] 92.7% accuracy, 9.0 q/s, ETA 0s
+
+RESULTS — 1172 questions, 130s (9.0 q/s)
+Overall Accuracy: 92.7%
+
+Results saved to /var/home/deucebucket/ai-drive/cerebellum/cerebellum-granite41-30b/benchmark_results/q3km_baseline_arc_results.json
+Per-question detail log: /var/home/deucebucket/ai-drive/cerebellum/cerebellum-granite41-30b/benchmark_results/q3km_baseline_arc_detailed.jsonl (1172 entries)
+======================================================================

benchmark_results/q3km_baseline_evalplus_results.json

@@ -0,0 +1,9 @@
+{
+  "benchmark": "evalplus_humaneval_plus",
+  "model": "q3km_baseline",
+  "pass_at_1_plus": null,
+  "pass_at_1_base": null,
+  "total_problems": 164,
+  "elapsed_seconds": 868.1,
+  "timestamp": "2026-05-05 03:36"
+}

benchmark_results/q3km_baseline_evalplus_run.log

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+/home/deucebucket/.local/lib/python3.14/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+EVALPLUS (HumanEval+) BENCHMARK — q3km_baseline
+Loading problems...
+Loaded 164 problems
+Workers: 1, remaining: 164
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+
+Generation complete: 164 problems in 868s
+Samples: /var/home/deucebucket/ai-drive/cerebellum/cerebellum-granite41-30b/benchmark_results/q3km_baseline_evalplus_samples.jsonl
+
+Running EvalPlus evaluation...
+Load from ground-truth from /home/deucebucket/.cache/evalplus/fe585eb4df8c88d844eeb463ea4d0302.pkl
+Reading samples...
+
+  import pynvml  # type: ignore[import]
+
+
  0%|          | 0/164 [00:00<?, ?it/s]/home/deucebucket/.local/lib/python3.14/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+/home/deucebucket/.local/lib/python3.14/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+/home/deucebucket/.local/lib/python3.14/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+/home/deucebucket/.local/lib/python3.14/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+/home/deucebucket/.local/lib/python3.14/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+/home/deucebucket/.local/lib/python3.14/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+/home/deucebucket/.local/lib/python3.14/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+/home/deucebucket/.local/lib/python3.14/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+
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+humaneval (base tests)
+pass@1:	0.817
+humaneval+ (base + extra tests)
+pass@1:	0.750
+
+RESULTS:
+
+Saved to /var/home/deucebucket/ai-drive/cerebellum/cerebellum-granite41-30b/benchmark_results/q3km_baseline_evalplus_results.json
+======================================================================

benchmark_results/server_cerebellum_v2.log.zst

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benchmark_results/server_q3km_baseline.log.zst

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