meta_only podC e16 (configs + train logs; weights not backed up)

meta_only/podC/e16/Ra-learned-slowpartial/policy.json

@@ -0,0 +1,5 @@
+{
+ "policy": "learned",
+ "step": 110,
+ "targets_seen": 3520
+}

meta_only/podC/e16/Ra-learned-slowpartial/train_log.jsonl

@@ -0,0 +1,112 @@
+{"event": "step", "step": 1, "targets": 32, "reward": -0.45317476987838745, "reward_std": 0.12851224839687347, "s": 180.5}
+{"event": "step", "step": 2, "targets": 64, "reward": -0.4833979606628418, "reward_std": 0.12210360169410706, "s": 361.7}
+{"event": "step", "step": 3, "targets": 96, "reward": -0.6226757764816284, "reward_std": 0.14287899434566498, "s": 531.1}
+{"event": "step", "step": 4, "targets": 128, "reward": -0.5758748650550842, "reward_std": 0.13522633910179138, "s": 679.4}
+{"event": "step", "step": 5, "targets": 160, "reward": -0.5453606247901917, "reward_std": 0.1404097080230713, "s": 837.8}
+{"event": "step", "step": 6, "targets": 192, "reward": -0.5309181213378906, "reward_std": 0.16247035562992096, "s": 962.5}
+{"event": "step", "step": 7, "targets": 224, "reward": -0.4377431273460388, "reward_std": 0.12157437950372696, "s": 1132.6}
+{"event": "step", "step": 8, "targets": 256, "reward": -0.5143150091171265, "reward_std": 0.13602539896965027, "s": 1294.5}
+{"event": "step", "step": 9, "targets": 288, "reward": -0.47752463817596436, "reward_std": 0.12162737548351288, "s": 1448.1}
+{"event": "step", "step": 10, "targets": 320, "reward": -0.565496563911438, "reward_std": 0.1251305341720581, "s": 1618.5}
+{"event": "step", "step": 11, "targets": 352, "reward": -0.5098644495010376, "reward_std": 0.12985660135746002, "s": 1787.6}
+{"event": "step", "step": 12, "targets": 384, "reward": -0.45164546370506287, "reward_std": 0.11052434891462326, "s": 1959.6}
+{"event": "step", "step": 13, "targets": 416, "reward": -0.501430869102478, "reward_std": 0.08501129597425461, "s": 2123.4}
+{"event": "step", "step": 14, "targets": 448, "reward": -0.47477278113365173, "reward_std": 0.13840803503990173, "s": 2280.1}
+{"event": "step", "step": 15, "targets": 480, "reward": -0.5055940747261047, "reward_std": 0.15987306833267212, "s": 2435.6}
+{"event": "step", "step": 16, "targets": 512, "reward": -0.5417791604995728, "reward_std": 0.08178326487541199, "s": 2578.3}
+{"event": "step", "step": 17, "targets": 544, "reward": -0.5359092950820923, "reward_std": 0.12478165328502655, "s": 2748.4}
+{"event": "step", "step": 18, "targets": 576, "reward": -0.4830709397792816, "reward_std": 0.1358889788389206, "s": 2899.7}
+{"event": "step", "step": 19, "targets": 608, "reward": -0.5820692777633667, "reward_std": 0.10217339545488358, "s": 3059.9}
+{"event": "step", "step": 20, "targets": 640, "reward": -0.6513161063194275, "reward_std": 0.16188786923885345, "s": 3226.4}
+{"event": "step", "step": 21, "targets": 672, "reward": -0.47114092111587524, "reward_std": 0.11285717040300369, "s": 3383.8}
+{"event": "step", "step": 22, "targets": 704, "reward": -0.502878725528717, "reward_std": 0.12525604665279388, "s": 3543.5}
+{"event": "step", "step": 23, "targets": 736, "reward": -0.4552120864391327, "reward_std": 0.11462508141994476, "s": 3718.5}
+{"event": "step", "step": 24, "targets": 768, "reward": -0.45997875928878784, "reward_std": 0.106149822473526, "s": 3900.7}
+{"event": "step", "step": 25, "targets": 800, "reward": -0.4960162043571472, "reward_std": 0.11238670349121094, "s": 4078.5}
+{"event": "step", "step": 26, "targets": 832, "reward": -0.7236164212226868, "reward_std": 0.14561623334884644, "s": 4251.5}
+{"event": "step", "step": 27, "targets": 864, "reward": -0.5295208692550659, "reward_std": 0.1089700311422348, "s": 4405.9}
+{"event": "step", "step": 28, "targets": 896, "reward": -0.48039761185646057, "reward_std": 0.15743352472782135, "s": 4571.5}
+{"event": "step", "step": 29, "targets": 928, "reward": -0.48326554894447327, "reward_std": 0.11362656950950623, "s": 4745.6}
+{"event": "step", "step": 30, "targets": 960, "reward": -0.5035017132759094, "reward_std": 0.12473350763320923, "s": 4899.6}
+{"event": "step", "step": 31, "targets": 992, "reward": -0.5285446047782898, "reward_std": 0.1400008499622345, "s": 5062.8}
+{"event": "step", "step": 32, "targets": 1024, "reward": -0.6953033804893494, "reward_std": 0.16338840126991272, "s": 5195.8}
+{"event": "step", "step": 33, "targets": 1056, "reward": -0.6867659687995911, "reward_std": 0.17641907930374146, "s": 5376.9}
+{"event": "step", "step": 34, "targets": 1088, "reward": -0.5558282136917114, "reward_std": 0.12854468822479248, "s": 5537.0}
+{"event": "step", "step": 35, "targets": 1120, "reward": -0.4889451563358307, "reward_std": 0.09785374999046326, "s": 5698.3}
+{"event": "step", "step": 36, "targets": 1152, "reward": -0.5418670177459717, "reward_std": 0.13697820901870728, "s": 5865.5}
+{"event": "step", "step": 37, "targets": 1184, "reward": -0.6124957203865051, "reward_std": 0.13228639960289001, "s": 6000.5}
+{"event": "step", "step": 38, "targets": 1216, "reward": -0.60172039270401, "reward_std": 0.15208753943443298, "s": 6165.1}
+{"event": "step", "step": 39, "targets": 1248, "reward": -0.49577367305755615, "reward_std": 0.12345059216022491, "s": 6353.0}
+{"event": "step", "step": 40, "targets": 1280, "reward": -0.6032135486602783, "reward_std": 0.13137349486351013, "s": 6508.0}
+{"event": "step", "step": 41, "targets": 1312, "reward": -0.4880784749984741, "reward_std": 0.11037354171276093, "s": 6678.8}
+{"event": "step", "step": 42, "targets": 1344, "reward": -0.5530990362167358, "reward_std": 0.1366357058286667, "s": 6818.3}
+{"event": "step", "step": 43, "targets": 1376, "reward": -0.5646217465400696, "reward_std": 0.15635839104652405, "s": 6982.6}
+{"event": "step", "step": 44, "targets": 1408, "reward": -0.5348697900772095, "reward_std": 0.15184465050697327, "s": 7130.5}
+{"event": "step", "step": 45, "targets": 1440, "reward": -0.48446452617645264, "reward_std": 0.15772032737731934, "s": 7306.5}
+{"event": "step", "step": 46, "targets": 1472, "reward": -0.4403214156627655, "reward_std": 0.11327757686376572, "s": 7457.0}
+{"event": "step", "step": 47, "targets": 1504, "reward": -0.5660020709037781, "reward_std": 0.18281376361846924, "s": 7605.9}
+{"event": "step", "step": 48, "targets": 1536, "reward": -0.6081681847572327, "reward_std": 0.1379704624414444, "s": 7749.0}
+{"event": "step", "step": 49, "targets": 1568, "reward": -0.4580705761909485, "reward_std": 0.12667569518089294, "s": 7896.9}
+{"event": "step", "step": 50, "targets": 1600, "reward": -0.6011659502983093, "reward_std": 0.1569833755493164, "s": 8050.5}
+{"event": "step", "step": 51, "targets": 1632, "reward": -0.4394272565841675, "reward_std": 0.1224842444062233, "s": 8196.9}
+{"event": "step", "step": 52, "targets": 1664, "reward": -0.6116340756416321, "reward_std": 0.1454734057188034, "s": 8343.3}
+{"event": "step", "step": 53, "targets": 1696, "reward": -0.5332208871841431, "reward_std": 0.10020580887794495, "s": 8511.0}
+{"event": "step", "step": 54, "targets": 1728, "reward": -0.535942018032074, "reward_std": 0.12295370548963547, "s": 8649.5}
+{"event": "step", "step": 55, "targets": 1760, "reward": -0.6471273303031921, "reward_std": 0.15576140582561493, "s": 8828.9}
+{"event": "step", "step": 56, "targets": 1792, "reward": -0.4472060799598694, "reward_std": 0.10134555399417877, "s": 9012.7}
+{"event": "step", "step": 57, "targets": 1824, "reward": -0.5092892646789551, "reward_std": 0.10087718814611435, "s": 9174.4}
+{"event": "step", "step": 58, "targets": 1856, "reward": -0.5297019481658936, "reward_std": 0.12918737530708313, "s": 9342.1}
+{"event": "step", "step": 59, "targets": 1888, "reward": -0.5634027123451233, "reward_std": 0.15312476456165314, "s": 9514.3}
+{"event": "step", "step": 60, "targets": 1920, "reward": -0.5598815083503723, "reward_std": 0.12552939355373383, "s": 9676.7}
+{"event": "step", "step": 61, "targets": 1952, "reward": -0.42594772577285767, "reward_std": 0.113314189016819, "s": 9821.1}
+{"event": "step", "step": 62, "targets": 1984, "reward": -0.485770583152771, "reward_std": 0.10795219987630844, "s": 9981.3}
+{"event": "step", "step": 63, "targets": 2016, "reward": -0.4938931465148926, "reward_std": 0.1270197182893753, "s": 10125.6}
+{"event": "step", "step": 64, "targets": 2048, "reward": -0.5519018173217773, "reward_std": 0.1127508133649826, "s": 10302.8}
+{"event": "step", "step": 65, "targets": 2080, "reward": -0.6301558017730713, "reward_std": 0.1436862349510193, "s": 10479.1}
+{"event": "step", "step": 66, "targets": 2112, "reward": -0.6870668530464172, "reward_std": 0.14502312242984772, "s": 10628.3}
+{"event": "step", "step": 67, "targets": 2144, "reward": -0.3913625180721283, "reward_std": 0.10142014175653458, "s": 10810.8}
+{"event": "step", "step": 68, "targets": 2176, "reward": -0.5004062652587891, "reward_std": 0.107123002409935, "s": 10990.8}
+{"event": "step", "step": 69, "targets": 2208, "reward": -0.42598283290863037, "reward_std": 0.11278823763132095, "s": 11172.7}
+{"event": "step", "step": 70, "targets": 2240, "reward": -0.4700678586959839, "reward_std": 0.11496181786060333, "s": 11353.1}
+{"event": "step", "step": 71, "targets": 2272, "reward": -0.4950842559337616, "reward_std": 0.15324944257736206, "s": 11517.2}
+{"event": "step", "step": 72, "targets": 2304, "reward": -0.6151970624923706, "reward_std": 0.16636522114276886, "s": 11681.0}
+{"event": "step", "step": 73, "targets": 2336, "reward": -0.5888494253158569, "reward_std": 0.12099678814411163, "s": 11858.1}
+{"event": "step", "step": 74, "targets": 2368, "reward": -0.49849605560302734, "reward_std": 0.11956512928009033, "s": 12001.5}
+{"event": "step", "step": 75, "targets": 2400, "reward": -0.46554088592529297, "reward_std": 0.11810297518968582, "s": 12162.7}
+{"event": "step", "step": 76, "targets": 2432, "reward": -0.5785945653915405, "reward_std": 0.11537259817123413, "s": 12300.0}
+{"event": "step", "step": 77, "targets": 2464, "reward": -0.48879384994506836, "reward_std": 0.12768830358982086, "s": 12461.1}
+{"event": "step", "step": 78, "targets": 2496, "reward": -0.4639739990234375, "reward_std": 0.11520329117774963, "s": 12630.8}
+{"event": "step", "step": 79, "targets": 2528, "reward": -0.429545521736145, "reward_std": 0.14181876182556152, "s": 12782.6}
+{"event": "step", "step": 80, "targets": 2560, "reward": -0.5016689300537109, "reward_std": 0.12539198994636536, "s": 12937.9}
+{"event": "step", "step": 81, "targets": 2592, "reward": -0.5514752268791199, "reward_std": 0.10961572825908661, "s": 13095.8}
+{"event": "step", "step": 82, "targets": 2624, "reward": -0.5251508355140686, "reward_std": 0.11520637571811676, "s": 13238.3}
+{"event": "step", "step": 83, "targets": 2656, "reward": -0.5401305556297302, "reward_std": 0.11178223043680191, "s": 13397.6}
+{"event": "step", "step": 84, "targets": 2688, "reward": -0.580507755279541, "reward_std": 0.1334872841835022, "s": 13577.9}
+{"event": "step", "step": 85, "targets": 2720, "reward": -0.4902356266975403, "reward_std": 0.12205609679222107, "s": 13750.8}
+{"event": "step", "step": 86, "targets": 2752, "reward": -0.598158061504364, "reward_std": 0.1413138210773468, "s": 13912.6}
+{"event": "step", "step": 87, "targets": 2784, "reward": -0.4949358105659485, "reward_std": 0.11950437724590302, "s": 14080.6}
+{"event": "step", "step": 88, "targets": 2816, "reward": -0.46336960792541504, "reward_std": 0.13433048129081726, "s": 14241.5}
+{"event": "step", "step": 89, "targets": 2848, "reward": -0.45814356207847595, "reward_std": 0.12359555065631866, "s": 14405.5}
+{"event": "step", "step": 90, "targets": 2880, "reward": -0.5071107745170593, "reward_std": 0.11224673688411713, "s": 14568.0}
+{"event": "step", "step": 91, "targets": 2912, "reward": -0.4985693097114563, "reward_std": 0.10379263013601303, "s": 14734.1}
+{"event": "step", "step": 92, "targets": 2944, "reward": -0.4999350607395172, "reward_std": 0.09899850934743881, "s": 14905.5}
+{"event": "step", "step": 93, "targets": 2976, "reward": -0.5319324731826782, "reward_std": 0.13521400094032288, "s": 15084.5}
+{"event": "step", "step": 94, "targets": 3008, "reward": -0.4822508692741394, "reward_std": 0.11511147022247314, "s": 15248.6}
+{"event": "step", "step": 95, "targets": 3040, "reward": -0.6972298622131348, "reward_std": 0.15032735466957092, "s": 15377.6}
+{"event": "step", "step": 96, "targets": 3072, "reward": -0.6013076901435852, "reward_std": 0.11797916144132614, "s": 15549.4}
+{"event": "step", "step": 97, "targets": 3104, "reward": -0.5505703091621399, "reward_std": 0.1267203539609909, "s": 15738.1}
+{"event": "step", "step": 98, "targets": 3136, "reward": -0.6822203993797302, "reward_std": 0.11925281584262848, "s": 15915.9}
+{"event": "step", "step": 99, "targets": 3168, "reward": -0.5060204863548279, "reward_std": 0.11278793215751648, "s": 16080.3}
+{"event": "step", "step": 100, "targets": 3200, "reward": -0.5896683931350708, "reward_std": 0.12415169179439545, "s": 16239.5}
+{"event": "step", "step": 101, "targets": 3232, "reward": -0.5433151721954346, "reward_std": 0.12378605455160141, "s": 16395.5}
+{"event": "step", "step": 102, "targets": 3264, "reward": -0.680989682674408, "reward_std": 0.1423843652009964, "s": 16555.3}
+{"event": "step", "step": 103, "targets": 3296, "reward": -0.5650041699409485, "reward_std": 0.11325740069150925, "s": 16704.8}
+{"event": "step", "step": 104, "targets": 3328, "reward": -0.5061607360839844, "reward_std": 0.11214391887187958, "s": 16870.2}
+{"event": "step", "step": 105, "targets": 3360, "reward": -0.5679676532745361, "reward_std": 0.12700378894805908, "s": 17024.5}
+{"event": "step", "step": 106, "targets": 3392, "reward": -0.5205845236778259, "reward_std": 0.11043783277273178, "s": 17183.0}
+{"event": "step", "step": 107, "targets": 3424, "reward": -0.5544260740280151, "reward_std": 0.1494213044643402, "s": 17320.5}
+{"event": "step", "step": 108, "targets": 3456, "reward": -0.693697452545166, "reward_std": 0.14860543608665466, "s": 17468.2}
+{"event": "step", "step": 109, "targets": 3488, "reward": -0.5388537645339966, "reward_std": 0.11402912437915802, "s": 17641.4}
+{"event": "step", "step": 110, "targets": 3520, "reward": -0.6161605715751648, "reward_std": 0.11123767495155334, "s": 17781.3}
+{"event": "step", "step": 111, "targets": 3552, "reward": -0.6162823438644409, "reward_std": 0.11582542210817337, "s": 17956.0}
+{"event": "step", "step": 112, "targets": 3584, "reward": -0.49124231934547424, "reward_std": 0.10666227340698242, "s": 18120.7}

meta_only/podC/e16/Ra-learned/policy.json

@@ -0,0 +1,10 @@
+{
+ "policy": "learned",
+ "step": 625,
+ "targets": 19999,
+ "K": 4,
+ "k": 12,
+ "lr": 0.01,
+ "seed": 0,
+ "reader": "released JEV-9B C"
+}

meta_only/podC/e16/Ra-learned/train_log.jsonl

@@ -0,0 +1,625 @@
+{"event": "step", "step": 1, "targets": 32, "reward": -0.4529320001602173, "reward_std": 0.12887024879455566, "s": 124.4}
+{"event": "step", "step": 2, "targets": 64, "reward": -0.4833613634109497, "reward_std": 0.12281027436256409, "s": 195.7}
+{"event": "step", "step": 3, "targets": 96, "reward": -0.6230263113975525, "reward_std": 0.1420743763446808, "s": 226.4}
+{"event": "step", "step": 4, "targets": 128, "reward": -0.575314998626709, "reward_std": 0.13630402088165283, "s": 246.8}
+{"event": "step", "step": 5, "targets": 160, "reward": -0.5460746884346008, "reward_std": 0.14463256299495697, "s": 269.5}
+{"event": "step", "step": 6, "targets": 192, "reward": -0.5232852697372437, "reward_std": 0.16277773678302765, "s": 287.3}
+{"event": "step", "step": 7, "targets": 224, "reward": -0.4347406029701233, "reward_std": 0.12362142652273178, "s": 309.4}
+{"event": "step", "step": 8, "targets": 256, "reward": -0.5219666957855225, "reward_std": 0.13987667858600616, "s": 330.7}
+{"event": "step", "step": 9, "targets": 288, "reward": -0.47155046463012695, "reward_std": 0.12137188017368317, "s": 351.5}
+{"event": "step", "step": 10, "targets": 320, "reward": -0.5604261159896851, "reward_std": 0.12080833315849304, "s": 373.5}
+{"event": "step", "step": 11, "targets": 352, "reward": -0.5112600922584534, "reward_std": 0.12475265562534332, "s": 394.3}
+{"event": "step", "step": 12, "targets": 384, "reward": -0.45757877826690674, "reward_std": 0.11267852783203125, "s": 416.2}
+{"event": "step", "step": 13, "targets": 416, "reward": -0.5020960569381714, "reward_std": 0.08256374299526215, "s": 437.3}
+{"event": "step", "step": 14, "targets": 448, "reward": -0.4797084629535675, "reward_std": 0.14107874035835266, "s": 457.7}
+{"event": "step", "step": 15, "targets": 480, "reward": -0.502472460269928, "reward_std": 0.15466223657131195, "s": 478.4}
+{"event": "step", "step": 16, "targets": 512, "reward": -0.5504229068756104, "reward_std": 0.08580821007490158, "s": 497.1}
+{"event": "step", "step": 17, "targets": 544, "reward": -0.5424714088439941, "reward_std": 0.12450402230024338, "s": 518.0}
+{"event": "step", "step": 18, "targets": 576, "reward": -0.4779360890388489, "reward_std": 0.12559309601783752, "s": 538.1}
+{"event": "step", "step": 19, "targets": 608, "reward": -0.5873202085494995, "reward_std": 0.09861987084150314, "s": 559.2}
+{"event": "step", "step": 20, "targets": 640, "reward": -0.6593438982963562, "reward_std": 0.15936699509620667, "s": 580.2}
+{"event": "step", "step": 21, "targets": 672, "reward": -0.4719073474407196, "reward_std": 0.11845885217189789, "s": 601.1}
+{"event": "step", "step": 22, "targets": 704, "reward": -0.5097898244857788, "reward_std": 0.12086999416351318, "s": 621.3}
+{"event": "step", "step": 23, "targets": 736, "reward": -0.45894119143486023, "reward_std": 0.11782729625701904, "s": 642.5}
+{"event": "step", "step": 24, "targets": 768, "reward": -0.44553104043006897, "reward_std": 0.10665915906429291, "s": 664.3}
+{"event": "step", "step": 25, "targets": 800, "reward": -0.499799907207489, "reward_std": 0.11328701674938202, "s": 685.3}
+{"event": "step", "step": 26, "targets": 832, "reward": -0.7094312310218811, "reward_std": 0.1479857861995697, "s": 706.9}
+{"event": "step", "step": 27, "targets": 864, "reward": -0.5282309055328369, "reward_std": 0.11814870685338974, "s": 727.6}
+{"event": "step", "step": 28, "targets": 896, "reward": -0.4783455729484558, "reward_std": 0.15538445115089417, "s": 748.9}
+{"event": "step", "step": 29, "targets": 928, "reward": -0.4954063892364502, "reward_std": 0.12888818979263306, "s": 771.2}
+{"event": "step", "step": 30, "targets": 960, "reward": -0.5093775391578674, "reward_std": 0.1345229595899582, "s": 791.5}
+{"event": "step", "step": 31, "targets": 992, "reward": -0.5311660766601562, "reward_std": 0.13804684579372406, "s": 812.1}
+{"event": "step", "step": 32, "targets": 1024, "reward": -0.7005668878555298, "reward_std": 0.1597699224948883, "s": 831.1}
+{"event": "step", "step": 33, "targets": 1056, "reward": -0.6729848980903625, "reward_std": 0.17954806983470917, "s": 853.8}
+{"event": "step", "step": 34, "targets": 1088, "reward": -0.552497148513794, "reward_std": 0.13366132974624634, "s": 875.0}
+{"event": "step", "step": 35, "targets": 1120, "reward": -0.49384626746177673, "reward_std": 0.09137827157974243, "s": 896.1}
+{"event": "step", "step": 36, "targets": 1152, "reward": -0.5459643006324768, "reward_std": 0.1428176313638687, "s": 917.4}
+{"event": "step", "step": 37, "targets": 1184, "reward": -0.6071267127990723, "reward_std": 0.13424170017242432, "s": 936.5}
+{"event": "step", "step": 38, "targets": 1216, "reward": -0.6001698970794678, "reward_std": 0.1518622487783432, "s": 957.6}
+{"event": "step", "step": 39, "targets": 1248, "reward": -0.48221510648727417, "reward_std": 0.12508882582187653, "s": 980.0}
+{"event": "step", "step": 40, "targets": 1280, "reward": -0.5955328941345215, "reward_std": 0.13504931330680847, "s": 1000.5}
+{"event": "step", "step": 41, "targets": 1312, "reward": -0.49330252408981323, "reward_std": 0.10937650501728058, "s": 1022.1}
+{"event": "step", "step": 42, "targets": 1344, "reward": -0.5465282797813416, "reward_std": 0.12983031570911407, "s": 1041.8}
+{"event": "step", "step": 43, "targets": 1376, "reward": -0.5738884210586548, "reward_std": 0.16180318593978882, "s": 1063.4}
+{"event": "step", "step": 44, "targets": 1408, "reward": -0.5411691665649414, "reward_std": 0.13615116477012634, "s": 1083.5}
+{"event": "step", "step": 45, "targets": 1440, "reward": -0.48663145303726196, "reward_std": 0.15785370767116547, "s": 1105.9}
+{"event": "step", "step": 46, "targets": 1472, "reward": -0.4455301761627197, "reward_std": 0.11426515877246857, "s": 1126.5}
+{"event": "step", "step": 47, "targets": 1504, "reward": -0.5638774633407593, "reward_std": 0.17697592079639435, "s": 1147.0}
+{"event": "step", "step": 48, "targets": 1536, "reward": -0.6052566766738892, "reward_std": 0.12955345213413239, "s": 1166.6}
+{"event": "step", "step": 49, "targets": 1568, "reward": -0.4565878212451935, "reward_std": 0.13180074095726013, "s": 1186.5}
+{"event": "step", "step": 50, "targets": 1600, "reward": -0.5962793827056885, "reward_std": 0.14470839500427246, "s": 1207.0}
+{"event": "step", "step": 51, "targets": 1632, "reward": -0.4294470548629761, "reward_std": 0.1148931011557579, "s": 1226.7}
+{"event": "step", "step": 52, "targets": 1664, "reward": -0.5939505100250244, "reward_std": 0.14926204085350037, "s": 1246.0}
+{"event": "step", "step": 53, "targets": 1696, "reward": -0.5300120115280151, "reward_std": 0.10666832327842712, "s": 1266.9}
+{"event": "step", "step": 54, "targets": 1728, "reward": -0.5512616038322449, "reward_std": 0.13243824243545532, "s": 1286.0}
+{"event": "step", "step": 55, "targets": 1760, "reward": -0.6547154188156128, "reward_std": 0.1760798692703247, "s": 1308.0}
+{"event": "step", "step": 56, "targets": 1792, "reward": -0.46541205048561096, "reward_std": 0.1135302409529686, "s": 1330.4}
+{"event": "step", "step": 57, "targets": 1824, "reward": -0.5072183012962341, "reward_std": 0.0963558554649353, "s": 1352.0}
+{"event": "step", "step": 58, "targets": 1856, "reward": -0.5407396554946899, "reward_std": 0.12603652477264404, "s": 1373.5}
+{"event": "step", "step": 59, "targets": 1888, "reward": -0.5628741979598999, "reward_std": 0.14077459275722504, "s": 1395.5}
+{"event": "step", "step": 60, "targets": 1920, "reward": -0.5674055218696594, "reward_std": 0.14620573818683624, "s": 1416.2}
+{"event": "step", "step": 61, "targets": 1952, "reward": -0.439641535282135, "reward_std": 0.10854202508926392, "s": 1436.5}
+{"event": "step", "step": 62, "targets": 1984, "reward": -0.4951048791408539, "reward_std": 0.11381769180297852, "s": 1458.1}
+{"event": "step", "step": 63, "targets": 2016, "reward": -0.5118525624275208, "reward_std": 0.1329565793275833, "s": 1477.8}
+{"event": "step", "step": 64, "targets": 2048, "reward": -0.5479561686515808, "reward_std": 0.11300022155046463, "s": 1500.4}
+{"event": "step", "step": 65, "targets": 2080, "reward": -0.6227357387542725, "reward_std": 0.14525443315505981, "s": 1522.3}
+{"event": "step", "step": 66, "targets": 2112, "reward": -0.6731106638908386, "reward_std": 0.15798544883728027, "s": 1542.8}
+{"event": "step", "step": 67, "targets": 2144, "reward": -0.38534238934516907, "reward_std": 0.10690849274396896, "s": 1565.5}
+{"event": "step", "step": 68, "targets": 2176, "reward": -0.5185514092445374, "reward_std": 0.12257860600948334, "s": 1587.6}
+{"event": "step", "step": 69, "targets": 2208, "reward": -0.43942511081695557, "reward_std": 0.1314494013786316, "s": 1609.7}
+{"event": "step", "step": 70, "targets": 2240, "reward": -0.4992894232273102, "reward_std": 0.13217920064926147, "s": 1632.5}
+{"event": "step", "step": 71, "targets": 2272, "reward": -0.4955306649208069, "reward_std": 0.1488267481327057, "s": 1653.9}
+{"event": "step", "step": 72, "targets": 2304, "reward": -0.6010546088218689, "reward_std": 0.1698058545589447, "s": 1675.3}
+{"event": "step", "step": 73, "targets": 2336, "reward": -0.5870842933654785, "reward_std": 0.13094399869441986, "s": 1697.0}
+{"event": "step", "step": 74, "targets": 2368, "reward": -0.5281144976615906, "reward_std": 0.13711333274841309, "s": 1716.5}
+{"event": "step", "step": 75, "targets": 2400, "reward": -0.47503426671028137, "reward_std": 0.1346047818660736, "s": 1737.3}
+{"event": "step", "step": 76, "targets": 2432, "reward": -0.5557175874710083, "reward_std": 0.11241737008094788, "s": 1757.3}
+{"event": "step", "step": 77, "targets": 2464, "reward": -0.49421101808547974, "reward_std": 0.1516186147928238, "s": 1778.0}
+{"event": "step", "step": 78, "targets": 2496, "reward": -0.47444066405296326, "reward_std": 0.1174580529332161, "s": 1799.2}
+{"event": "step", "step": 79, "targets": 2528, "reward": -0.47015097737312317, "reward_std": 0.14820419251918793, "s": 1819.8}
+{"event": "step", "step": 80, "targets": 2560, "reward": -0.5095265507698059, "reward_std": 0.11867514252662659, "s": 1840.3}
+{"event": "step", "step": 81, "targets": 2592, "reward": -0.5771934390068054, "reward_std": 0.13106964528560638, "s": 1861.5}
+{"event": "step", "step": 82, "targets": 2624, "reward": -0.5413883924484253, "reward_std": 0.11201390624046326, "s": 1880.9}
+{"event": "step", "step": 83, "targets": 2656, "reward": -0.5636993646621704, "reward_std": 0.13039308786392212, "s": 1901.7}
+{"event": "step", "step": 84, "targets": 2688, "reward": -0.5681338906288147, "reward_std": 0.12550990283489227, "s": 1924.1}
+{"event": "step", "step": 85, "targets": 2720, "reward": -0.4850704073905945, "reward_std": 0.11841113865375519, "s": 1946.6}
+{"event": "step", "step": 86, "targets": 2752, "reward": -0.5989181995391846, "reward_std": 0.13853324949741364, "s": 1967.7}
+{"event": "step", "step": 87, "targets": 2784, "reward": -0.49146801233291626, "reward_std": 0.12173189967870712, "s": 1988.4}
+{"event": "step", "step": 88, "targets": 2816, "reward": -0.45946162939071655, "reward_std": 0.1332046091556549, "s": 2009.4}
+{"event": "step", "step": 89, "targets": 2848, "reward": -0.4557335376739502, "reward_std": 0.15025228261947632, "s": 2030.4}
+{"event": "step", "step": 90, "targets": 2880, "reward": -0.5037204027175903, "reward_std": 0.11222141981124878, "s": 2051.1}
+{"event": "step", "step": 91, "targets": 2912, "reward": -0.492690771818161, "reward_std": 0.11389988660812378, "s": 2073.4}
+{"event": "step", "step": 92, "targets": 2944, "reward": -0.5266326665878296, "reward_std": 0.12385077774524689, "s": 2096.2}
+{"event": "step", "step": 93, "targets": 2976, "reward": -0.5327742695808411, "reward_std": 0.13825249671936035, "s": 2118.8}
+{"event": "step", "step": 94, "targets": 3008, "reward": -0.49859172105789185, "reward_std": 0.11621885746717453, "s": 2140.0}
+{"event": "step", "step": 95, "targets": 3040, "reward": -0.689389705657959, "reward_std": 0.17321743071079254, "s": 2157.9}
+{"event": "step", "step": 96, "targets": 3072, "reward": -0.6124153733253479, "reward_std": 0.11742427945137024, "s": 2179.3}
+{"event": "step", "step": 97, "targets": 3104, "reward": -0.5323487520217896, "reward_std": 0.12294024229049683, "s": 2202.5}
+{"event": "step", "step": 98, "targets": 3136, "reward": -0.6647458076477051, "reward_std": 0.13550107181072235, "s": 2225.0}
+{"event": "step", "step": 99, "targets": 3168, "reward": -0.5174744129180908, "reward_std": 0.12740156054496765, "s": 2246.7}
+{"event": "step", "step": 100, "targets": 3200, "reward": -0.5915010571479797, "reward_std": 0.11031246185302734, "s": 2267.4}
+{"event": "step", "step": 101, "targets": 3232, "reward": -0.5495949387550354, "reward_std": 0.13244274258613586, "s": 2288.1}
+{"event": "step", "step": 102, "targets": 3264, "reward": -0.6815564036369324, "reward_std": 0.15885713696479797, "s": 2308.2}
+{"event": "step", "step": 103, "targets": 3296, "reward": -0.559011697769165, "reward_std": 0.11281664669513702, "s": 2328.1}
+{"event": "step", "step": 104, "targets": 3328, "reward": -0.5182170271873474, "reward_std": 0.1274145543575287, "s": 2349.1}
+{"event": "step", "step": 105, "targets": 3360, "reward": -0.5603806972503662, "reward_std": 0.1178276389837265, "s": 2370.0}
+{"event": "step", "step": 106, "targets": 3392, "reward": -0.5309291481971741, "reward_std": 0.11912499368190765, "s": 2390.5}
+{"event": "step", "step": 107, "targets": 3424, "reward": -0.5396767854690552, "reward_std": 0.1493847370147705, "s": 2409.2}
+{"event": "step", "step": 108, "targets": 3456, "reward": -0.6933314800262451, "reward_std": 0.13955345749855042, "s": 2428.7}
+{"event": "step", "step": 109, "targets": 3488, "reward": -0.5443361401557922, "reward_std": 0.1131439357995987, "s": 2450.7}
+{"event": "step", "step": 110, "targets": 3520, "reward": -0.6017270088195801, "reward_std": 0.12839700281620026, "s": 2470.5}
+{"event": "step", "step": 111, "targets": 3552, "reward": -0.6009774804115295, "reward_std": 0.1313740611076355, "s": 2492.6}
+{"event": "step", "step": 112, "targets": 3584, "reward": -0.5093545317649841, "reward_std": 0.11248087882995605, "s": 2513.7}
+{"event": "step", "step": 113, "targets": 3616, "reward": -0.6522616147994995, "reward_std": 0.15170426666736603, "s": 2535.9}
+{"event": "step", "step": 114, "targets": 3648, "reward": -0.5236893892288208, "reward_std": 0.11808092892169952, "s": 2558.5}
+{"event": "step", "step": 115, "targets": 3680, "reward": -0.3793509602546692, "reward_std": 0.08690159022808075, "s": 2578.6}
+{"event": "step", "step": 116, "targets": 3712, "reward": -0.526475727558136, "reward_std": 0.13592082262039185, "s": 2598.9}
+{"event": "step", "step": 117, "targets": 3744, "reward": -0.4666840434074402, "reward_std": 0.10529182851314545, "s": 2618.4}
+{"event": "step", "step": 118, "targets": 3776, "reward": -0.5996823310852051, "reward_std": 0.14102868735790253, "s": 2639.5}
+{"event": "step", "step": 119, "targets": 3808, "reward": -0.6129931211471558, "reward_std": 0.14147645235061646, "s": 2660.8}
+{"event": "step", "step": 120, "targets": 3840, "reward": -0.5606927871704102, "reward_std": 0.12344539910554886, "s": 2679.9}
+{"event": "step", "step": 121, "targets": 3872, "reward": -0.533835768699646, "reward_std": 0.18441373109817505, "s": 2699.7}
+{"event": "step", "step": 122, "targets": 3904, "reward": -0.5640249252319336, "reward_std": 0.13612252473831177, "s": 2720.0}
+{"event": "step", "step": 123, "targets": 3936, "reward": -0.4898224472999573, "reward_std": 0.12409210205078125, "s": 2739.8}
+{"event": "step", "step": 124, "targets": 3968, "reward": -0.5366424322128296, "reward_std": 0.1564972698688507, "s": 2759.4}
+{"event": "step", "step": 125, "targets": 4000, "reward": -0.5617019534111023, "reward_std": 0.12817949056625366, "s": 2780.7}
+{"event": "step", "step": 126, "targets": 4032, "reward": -0.46486568450927734, "reward_std": 0.1354692280292511, "s": 2799.7}
+{"event": "step", "step": 127, "targets": 4064, "reward": -0.6471342444419861, "reward_std": 0.13014189898967743, "s": 2820.3}
+{"event": "step", "step": 128, "targets": 4096, "reward": -0.587841272354126, "reward_std": 0.15309175848960876, "s": 2840.6}
+{"event": "step", "step": 129, "targets": 4128, "reward": -0.4055689573287964, "reward_std": 0.11386986821889877, "s": 2860.7}
+{"event": "step", "step": 130, "targets": 4160, "reward": -0.5746629238128662, "reward_std": 0.14527325332164764, "s": 2880.8}
+{"event": "step", "step": 131, "targets": 4192, "reward": -0.6696714162826538, "reward_std": 0.15846092998981476, "s": 2901.2}
+{"event": "step", "step": 132, "targets": 4224, "reward": -0.5095087885856628, "reward_std": 0.10475634783506393, "s": 2921.8}
+{"event": "step", "step": 133, "targets": 4256, "reward": -0.5399428009986877, "reward_std": 0.15775325894355774, "s": 2943.1}
+{"event": "step", "step": 134, "targets": 4288, "reward": -0.5110498070716858, "reward_std": 0.12941479682922363, "s": 2963.7}
+{"event": "step", "step": 135, "targets": 4320, "reward": -0.7294986844062805, "reward_std": 0.12366080284118652, "s": 2984.9}
+{"event": "step", "step": 136, "targets": 4352, "reward": -0.6396743655204773, "reward_std": 0.11237602680921555, "s": 3006.0}
+{"event": "step", "step": 137, "targets": 4384, "reward": -0.5294971466064453, "reward_std": 0.12805606424808502, "s": 3027.8}
+{"event": "step", "step": 138, "targets": 4416, "reward": -0.48432669043540955, "reward_std": 0.12898090481758118, "s": 3048.9}
+{"event": "step", "step": 139, "targets": 4448, "reward": -0.6784335374832153, "reward_std": 0.14135701954364777, "s": 3068.3}
+{"event": "step", "step": 140, "targets": 4480, "reward": -0.4623410403728485, "reward_std": 0.12015584111213684, "s": 3089.5}
+{"event": "step", "step": 141, "targets": 4512, "reward": -0.4136798083782196, "reward_std": 0.08545981347560883, "s": 3112.2}
+{"event": "step", "step": 142, "targets": 4544, "reward": -0.48423150181770325, "reward_std": 0.14277562499046326, "s": 3134.5}
+{"event": "step", "step": 143, "targets": 4576, "reward": -0.48110800981521606, "reward_std": 0.1683124601840973, "s": 3155.5}
+{"event": "step", "step": 144, "targets": 4608, "reward": -0.5405598282814026, "reward_std": 0.138563334941864, "s": 3176.6}
+{"event": "step", "step": 145, "targets": 4640, "reward": -0.5970916152000427, "reward_std": 0.15169145166873932, "s": 3197.6}
+{"event": "step", "step": 146, "targets": 4672, "reward": -0.5043302774429321, "reward_std": 0.1300375610589981, "s": 3219.4}
+{"event": "step", "step": 147, "targets": 4704, "reward": -0.5570023059844971, "reward_std": 0.15635915100574493, "s": 3240.4}
+{"event": "step", "step": 148, "targets": 4736, "reward": -0.6151931285858154, "reward_std": 0.13399483263492584, "s": 3259.8}
+{"event": "step", "step": 149, "targets": 4768, "reward": -0.5092264413833618, "reward_std": 0.11983411014080048, "s": 3279.6}
+{"event": "step", "step": 150, "targets": 4800, "reward": -0.7216787934303284, "reward_std": 0.16278068721294403, "s": 3300.4}
+{"event": "step", "step": 151, "targets": 4832, "reward": -0.5145138502120972, "reward_std": 0.12900464236736298, "s": 3322.8}
+{"event": "step", "step": 152, "targets": 4864, "reward": -0.5964247584342957, "reward_std": 0.1324853003025055, "s": 3343.5}
+{"event": "step", "step": 153, "targets": 4896, "reward": -0.6042879819869995, "reward_std": 0.15941131114959717, "s": 3363.0}
+{"event": "step", "step": 154, "targets": 4928, "reward": -0.38950058817863464, "reward_std": 0.11452846974134445, "s": 3384.8}
+{"event": "step", "step": 155, "targets": 4960, "reward": -0.5091326236724854, "reward_std": 0.11460870504379272, "s": 3406.4}
+{"event": "step", "step": 156, "targets": 4992, "reward": -0.542163610458374, "reward_std": 0.10687201470136642, "s": 3426.4}
+{"event": "step", "step": 157, "targets": 5024, "reward": -0.5756044983863831, "reward_std": 0.13929590582847595, "s": 3446.8}
+{"event": "step", "step": 158, "targets": 5056, "reward": -0.6160016059875488, "reward_std": 0.1513582170009613, "s": 3467.2}
+{"event": "step", "step": 159, "targets": 5088, "reward": -0.503381609916687, "reward_std": 0.1305692195892334, "s": 3488.5}
+{"event": "step", "step": 160, "targets": 5120, "reward": -0.5533064603805542, "reward_std": 0.12348504364490509, "s": 3510.5}
+{"event": "step", "step": 161, "targets": 5152, "reward": -0.5535306334495544, "reward_std": 0.1431843340396881, "s": 3532.1}
+{"event": "step", "step": 162, "targets": 5184, "reward": -0.4621819853782654, "reward_std": 0.11853407323360443, "s": 3553.6}
+{"event": "step", "step": 163, "targets": 5216, "reward": -0.569884181022644, "reward_std": 0.14749190211296082, "s": 3575.7}
+{"event": "step", "step": 164, "targets": 5248, "reward": -0.4178141951560974, "reward_std": 0.12412568181753159, "s": 3597.8}
+{"event": "step", "step": 165, "targets": 5280, "reward": -0.7463128566741943, "reward_std": 0.18207257986068726, "s": 3618.4}
+{"event": "step", "step": 166, "targets": 5312, "reward": -0.46059900522232056, "reward_std": 0.11591196060180664, "s": 3638.8}
+{"event": "step", "step": 167, "targets": 5344, "reward": -0.5341085195541382, "reward_std": 0.11529474705457687, "s": 3659.6}
+{"event": "step", "step": 168, "targets": 5376, "reward": -0.5296621322631836, "reward_std": 0.14278480410575867, "s": 3681.7}
+{"event": "step", "step": 169, "targets": 5408, "reward": -0.5021689534187317, "reward_std": 0.1129056066274643, "s": 3701.8}
+{"event": "step", "step": 170, "targets": 5440, "reward": -0.43039995431900024, "reward_std": 0.12597297132015228, "s": 3723.3}
+{"event": "step", "step": 171, "targets": 5472, "reward": -0.6367965340614319, "reward_std": 0.1500762701034546, "s": 3744.4}
+{"event": "step", "step": 172, "targets": 5504, "reward": -0.48863357305526733, "reward_std": 0.10492363572120667, "s": 3762.7}
+{"event": "step", "step": 173, "targets": 5536, "reward": -0.625266432762146, "reward_std": 0.14804235100746155, "s": 3783.2}
+{"event": "step", "step": 174, "targets": 5568, "reward": -0.5027034282684326, "reward_std": 0.14207342267036438, "s": 3807.7}
+{"event": "step", "step": 175, "targets": 5600, "reward": -0.5801631212234497, "reward_std": 0.17780542373657227, "s": 3829.2}
+{"event": "step", "step": 176, "targets": 5632, "reward": -0.4711070954799652, "reward_std": 0.10142776370048523, "s": 3851.1}
+{"event": "step", "step": 177, "targets": 5664, "reward": -0.5430829524993896, "reward_std": 0.14171117544174194, "s": 3872.9}
+{"event": "step", "step": 178, "targets": 5696, "reward": -0.7197631001472473, "reward_std": 0.15542040765285492, "s": 3892.6}
+{"event": "step", "step": 179, "targets": 5728, "reward": -0.5650604963302612, "reward_std": 0.15992215275764465, "s": 3914.4}
+{"event": "step", "step": 180, "targets": 5760, "reward": -0.5976455211639404, "reward_std": 0.134179025888443, "s": 3934.3}
+{"event": "step", "step": 181, "targets": 5792, "reward": -0.47121796011924744, "reward_std": 0.13244998455047607, "s": 3955.9}
+{"event": "step", "step": 182, "targets": 5824, "reward": -0.6008909344673157, "reward_std": 0.15538324415683746, "s": 3973.9}
+{"event": "step", "step": 183, "targets": 5856, "reward": -0.47171294689178467, "reward_std": 0.1477808803319931, "s": 3996.0}
+{"event": "step", "step": 184, "targets": 5888, "reward": -0.43668460845947266, "reward_std": 0.10312539339065552, "s": 4016.1}
+{"event": "step", "step": 185, "targets": 5920, "reward": -0.5691234469413757, "reward_std": 0.1391846388578415, "s": 4036.6}
+{"event": "step", "step": 186, "targets": 5952, "reward": -0.5045185089111328, "reward_std": 0.1357545554637909, "s": 4057.9}
+{"event": "step", "step": 187, "targets": 5984, "reward": -0.4270634949207306, "reward_std": 0.09666632860898972, "s": 4077.4}
+{"event": "step", "step": 188, "targets": 6016, "reward": -0.5405216217041016, "reward_std": 0.14003723859786987, "s": 4099.0}
+{"event": "step", "step": 189, "targets": 6048, "reward": -0.5644612312316895, "reward_std": 0.1255073994398117, "s": 4120.2}
+{"event": "step", "step": 190, "targets": 6080, "reward": -0.5095330476760864, "reward_std": 0.1304246485233307, "s": 4141.0}
+{"event": "step", "step": 191, "targets": 6112, "reward": -0.6508699059486389, "reward_std": 0.16266897320747375, "s": 4162.8}
+{"event": "step", "step": 192, "targets": 6144, "reward": -0.6297298669815063, "reward_std": 0.13861183822155, "s": 4184.9}
+{"event": "step", "step": 193, "targets": 6176, "reward": -0.7031919360160828, "reward_std": 0.17793311178684235, "s": 4204.8}
+{"event": "step", "step": 194, "targets": 6208, "reward": -0.4721090793609619, "reward_std": 0.1260109841823578, "s": 4225.8}
+{"event": "step", "step": 195, "targets": 6240, "reward": -0.5402038097381592, "reward_std": 0.12807811796665192, "s": 4247.5}
+{"event": "step", "step": 196, "targets": 6272, "reward": -0.5219924449920654, "reward_std": 0.1357993185520172, "s": 4268.0}
+{"event": "step", "step": 197, "targets": 6304, "reward": -0.631150484085083, "reward_std": 0.14085866510868073, "s": 4289.9}
+{"event": "step", "step": 198, "targets": 6336, "reward": -0.5296294093132019, "reward_std": 0.11775856465101242, "s": 4312.7}
+{"event": "step", "step": 199, "targets": 6368, "reward": -0.6066425442695618, "reward_std": 0.15439599752426147, "s": 4333.2}
+{"event": "step", "step": 200, "targets": 6400, "reward": -0.529367208480835, "reward_std": 0.13379086554050446, "s": 4352.8}
+{"event": "step", "step": 201, "targets": 6432, "reward": -0.46394819021224976, "reward_std": 0.11459757387638092, "s": 4374.7}
+{"event": "step", "step": 202, "targets": 6464, "reward": -0.5651857256889343, "reward_std": 0.1065526008605957, "s": 4396.5}
+{"event": "step", "step": 203, "targets": 6496, "reward": -0.6113089919090271, "reward_std": 0.14054082334041595, "s": 4416.9}
+{"event": "step", "step": 204, "targets": 6528, "reward": -0.43003714084625244, "reward_std": 0.09388615936040878, "s": 4438.5}
+{"event": "step", "step": 205, "targets": 6560, "reward": -0.49582934379577637, "reward_std": 0.12003923952579498, "s": 4459.6}
+{"event": "step", "step": 206, "targets": 6592, "reward": -0.45854341983795166, "reward_std": 0.13431665301322937, "s": 4477.9}
+{"event": "step", "step": 207, "targets": 6624, "reward": -0.629796028137207, "reward_std": 0.14463110268115997, "s": 4499.6}
+{"event": "step", "step": 208, "targets": 6656, "reward": -0.6250773668289185, "reward_std": 0.15067031979560852, "s": 4519.9}
+{"event": "step", "step": 209, "targets": 6688, "reward": -0.6996119022369385, "reward_std": 0.18677382171154022, "s": 4542.4}
+{"event": "step", "step": 210, "targets": 6720, "reward": -0.6880557537078857, "reward_std": 0.1530543714761734, "s": 4561.4}
+{"event": "step", "step": 211, "targets": 6752, "reward": -0.5555223822593689, "reward_std": 0.1442280411720276, "s": 4582.8}
+{"event": "step", "step": 212, "targets": 6784, "reward": -0.5072910785675049, "reward_std": 0.10575976967811584, "s": 4604.1}
+{"event": "step", "step": 213, "targets": 6816, "reward": -0.49453622102737427, "reward_std": 0.1150449737906456, "s": 4625.1}
+{"event": "step", "step": 214, "targets": 6848, "reward": -0.4034003019332886, "reward_std": 0.11533708870410919, "s": 4646.1}
+{"event": "step", "step": 215, "targets": 6880, "reward": -0.7218740582466125, "reward_std": 0.13559748232364655, "s": 4667.0}
+{"event": "step", "step": 216, "targets": 6912, "reward": -0.5195069313049316, "reward_std": 0.1418607532978058, "s": 4686.5}
+{"event": "step", "step": 217, "targets": 6944, "reward": -0.4853937327861786, "reward_std": 0.11897643655538559, "s": 4706.9}
+{"event": "step", "step": 218, "targets": 6976, "reward": -0.5336946249008179, "reward_std": 0.13223963975906372, "s": 4727.1}
+{"event": "step", "step": 219, "targets": 7008, "reward": -0.6172560453414917, "reward_std": 0.15097954869270325, "s": 4749.8}
+{"event": "step", "step": 220, "targets": 7040, "reward": -0.5000398755073547, "reward_std": 0.1254904717206955, "s": 4770.9}
+{"event": "step", "step": 221, "targets": 7072, "reward": -0.44064682722091675, "reward_std": 0.10602936893701553, "s": 4792.8}
+{"event": "step", "step": 222, "targets": 7104, "reward": -0.45769479870796204, "reward_std": 0.12683801352977753, "s": 4813.0}
+{"event": "step", "step": 223, "targets": 7136, "reward": -0.6164882183074951, "reward_std": 0.11621275544166565, "s": 4833.8}
+{"event": "step", "step": 224, "targets": 7168, "reward": -0.5832251906394958, "reward_std": 0.11951782554388046, "s": 4855.5}
+{"event": "step", "step": 225, "targets": 7200, "reward": -0.6831767559051514, "reward_std": 0.1382068544626236, "s": 4875.4}
+{"event": "step", "step": 226, "targets": 7232, "reward": -0.4453153610229492, "reward_std": 0.09756708145141602, "s": 4896.1}
+{"event": "step", "step": 227, "targets": 7264, "reward": -0.3251432180404663, "reward_std": 0.06783502548933029, "s": 4914.2}
+{"event": "step", "step": 228, "targets": 7296, "reward": -0.5728852152824402, "reward_std": 0.14424076676368713, "s": 4934.0}
+{"event": "step", "step": 229, "targets": 7328, "reward": -0.6107725501060486, "reward_std": 0.15339846909046173, "s": 4955.7}
+{"event": "step", "step": 230, "targets": 7360, "reward": -0.6760780215263367, "reward_std": 0.12740112841129303, "s": 4977.6}
+{"event": "step", "step": 231, "targets": 7392, "reward": -0.6352537870407104, "reward_std": 0.16509483754634857, "s": 4998.5}
+{"event": "step", "step": 232, "targets": 7424, "reward": -0.6051090955734253, "reward_std": 0.12949208915233612, "s": 5018.0}
+{"event": "step", "step": 233, "targets": 7456, "reward": -0.5821709632873535, "reward_std": 0.1600065380334854, "s": 5040.2}
+{"event": "step", "step": 234, "targets": 7488, "reward": -0.4997989237308502, "reward_std": 0.10765091329813004, "s": 5059.1}
+{"event": "step", "step": 235, "targets": 7520, "reward": -0.5806941390037537, "reward_std": 0.1405470371246338, "s": 5081.5}
+{"event": "step", "step": 236, "targets": 7552, "reward": -0.6516578197479248, "reward_std": 0.17880994081497192, "s": 5102.0}
+{"event": "step", "step": 237, "targets": 7584, "reward": -0.6346266269683838, "reward_std": 0.19025132060050964, "s": 5123.3}
+{"event": "step", "step": 238, "targets": 7616, "reward": -0.5740309953689575, "reward_std": 0.13732442259788513, "s": 5144.3}
+{"event": "step", "step": 239, "targets": 7648, "reward": -0.4571187198162079, "reward_std": 0.12616081535816193, "s": 5164.4}
+{"event": "step", "step": 240, "targets": 7680, "reward": -0.5061643123626709, "reward_std": 0.12357401847839355, "s": 5186.4}
+{"event": "step", "step": 241, "targets": 7712, "reward": -0.7464370727539062, "reward_std": 0.17690715193748474, "s": 5205.8}
+{"event": "step", "step": 242, "targets": 7744, "reward": -0.5608595013618469, "reward_std": 0.12835605442523956, "s": 5226.8}
+{"event": "step", "step": 243, "targets": 7776, "reward": -0.6017397046089172, "reward_std": 0.11590220034122467, "s": 5245.9}
+{"event": "step", "step": 244, "targets": 7808, "reward": -0.5793342590332031, "reward_std": 0.13221783936023712, "s": 5266.7}
+{"event": "step", "step": 245, "targets": 7840, "reward": -0.5806906223297119, "reward_std": 0.12626564502716064, "s": 5289.5}
+{"event": "step", "step": 246, "targets": 7872, "reward": -0.5001677870750427, "reward_std": 0.13356387615203857, "s": 5311.0}
+{"event": "step", "step": 247, "targets": 7904, "reward": -0.5061547160148621, "reward_std": 0.11728687584400177, "s": 5331.5}
+{"event": "step", "step": 248, "targets": 7936, "reward": -0.5126646757125854, "reward_std": 0.12713438272476196, "s": 5352.1}
+{"event": "step", "step": 249, "targets": 7968, "reward": -0.48750370740890503, "reward_std": 0.1251729279756546, "s": 5374.2}
+{"event": "step", "step": 250, "targets": 8000, "reward": -0.5141735076904297, "reward_std": 0.11788169294595718, "s": 5399.1}
+{"event": "step", "step": 251, "targets": 8032, "reward": -0.5552809238433838, "reward_std": 0.12059593200683594, "s": 5418.6}
+{"event": "step", "step": 252, "targets": 8064, "reward": -0.4342082142829895, "reward_std": 0.11986231803894043, "s": 5439.2}
+{"event": "step", "step": 253, "targets": 8096, "reward": -0.5273568630218506, "reward_std": 0.11635330319404602, "s": 5459.6}
+{"event": "step", "step": 254, "targets": 8128, "reward": -0.5027640461921692, "reward_std": 0.1462392956018448, "s": 5481.5}
+{"event": "step", "step": 255, "targets": 8160, "reward": -0.6057721376419067, "reward_std": 0.1560879647731781, "s": 5501.6}
+{"event": "step", "step": 256, "targets": 8192, "reward": -0.5236446857452393, "reward_std": 0.14917559921741486, "s": 5522.0}
+{"event": "step", "step": 257, "targets": 8224, "reward": -0.5013878345489502, "reward_std": 0.10342425107955933, "s": 5544.5}
+{"event": "step", "step": 258, "targets": 8256, "reward": -0.42669591307640076, "reward_std": 0.09106244146823883, "s": 5565.6}
+{"event": "step", "step": 259, "targets": 8288, "reward": -0.48765432834625244, "reward_std": 0.11103604733943939, "s": 5587.1}
+{"event": "step", "step": 260, "targets": 8320, "reward": -0.6610783934593201, "reward_std": 0.159763902425766, "s": 5606.9}
+{"event": "step", "step": 261, "targets": 8352, "reward": -0.49448487162590027, "reward_std": 0.12613089382648468, "s": 5627.9}
+{"event": "step", "step": 262, "targets": 8384, "reward": -0.4959883391857147, "reward_std": 0.13505220413208008, "s": 5647.7}
+{"event": "step", "step": 263, "targets": 8416, "reward": -0.5199792385101318, "reward_std": 0.14277639985084534, "s": 5668.8}
+{"event": "step", "step": 264, "targets": 8448, "reward": -0.6022191047668457, "reward_std": 0.1486128270626068, "s": 5690.8}
+{"event": "step", "step": 265, "targets": 8480, "reward": -0.6398009657859802, "reward_std": 0.15015529096126556, "s": 5712.4}
+{"event": "step", "step": 266, "targets": 8512, "reward": -0.6520213484764099, "reward_std": 0.13733968138694763, "s": 5732.9}
+{"event": "step", "step": 267, "targets": 8544, "reward": -0.6282647252082825, "reward_std": 0.16236788034439087, "s": 5753.9}
+{"event": "step", "step": 268, "targets": 8576, "reward": -0.4358276128768921, "reward_std": 0.12696847319602966, "s": 5776.2}
+{"event": "step", "step": 269, "targets": 8608, "reward": -0.551634669303894, "reward_std": 0.14716902375221252, "s": 5797.4}
+{"event": "step", "step": 270, "targets": 8640, "reward": -0.445464164018631, "reward_std": 0.1168002039194107, "s": 5819.7}
+{"event": "step", "step": 271, "targets": 8672, "reward": -0.5394272208213806, "reward_std": 0.1416769176721573, "s": 5842.1}
+{"event": "step", "step": 272, "targets": 8704, "reward": -0.36775094270706177, "reward_std": 0.10162431746721268, "s": 5864.1}
+{"event": "step", "step": 273, "targets": 8736, "reward": -0.7052820920944214, "reward_std": 0.16960811614990234, "s": 5884.8}
+{"event": "step", "step": 274, "targets": 8768, "reward": -0.5480892062187195, "reward_std": 0.12139292061328888, "s": 5907.1}
+{"event": "step", "step": 275, "targets": 8800, "reward": -0.4459329843521118, "reward_std": 0.09842626005411148, "s": 5928.2}
+{"event": "step", "step": 276, "targets": 8832, "reward": -0.45073202252388, "reward_std": 0.13872171938419342, "s": 5947.9}
+{"event": "step", "step": 277, "targets": 8864, "reward": -0.49907416105270386, "reward_std": 0.10013173520565033, "s": 5970.1}
+{"event": "step", "step": 278, "targets": 8896, "reward": -0.5628820061683655, "reward_std": 0.13249537348747253, "s": 5991.7}
+{"event": "step", "step": 279, "targets": 8928, "reward": -0.6452099084854126, "reward_std": 0.14566144347190857, "s": 6013.4}
+{"event": "step", "step": 280, "targets": 8960, "reward": -0.5290114879608154, "reward_std": 0.1005760133266449, "s": 6032.9}
+{"event": "step", "step": 281, "targets": 8992, "reward": -0.5302385091781616, "reward_std": 0.1340295970439911, "s": 6054.9}
+{"event": "step", "step": 282, "targets": 9024, "reward": -0.6535868048667908, "reward_std": 0.1725151687860489, "s": 6073.5}
+{"event": "step", "step": 283, "targets": 9056, "reward": -0.5378033518791199, "reward_std": 0.12542568147182465, "s": 6093.5}
+{"event": "step", "step": 284, "targets": 9088, "reward": -0.6190701127052307, "reward_std": 0.15471866726875305, "s": 6115.5}
+{"event": "step", "step": 285, "targets": 9120, "reward": -0.5488579273223877, "reward_std": 0.15123672783374786, "s": 6136.9}
+{"event": "step", "step": 286, "targets": 9152, "reward": -0.5284357070922852, "reward_std": 0.1281631588935852, "s": 6158.9}
+{"event": "step", "step": 287, "targets": 9184, "reward": -0.6875150203704834, "reward_std": 0.13951289653778076, "s": 6181.3}
+{"event": "step", "step": 288, "targets": 9216, "reward": -0.5437797904014587, "reward_std": 0.12582850456237793, "s": 6201.5}
+{"event": "step", "step": 289, "targets": 9248, "reward": -0.5324533581733704, "reward_std": 0.09498762339353561, "s": 6222.4}
+{"event": "step", "step": 290, "targets": 9280, "reward": -0.5671717524528503, "reward_std": 0.12976613640785217, "s": 6243.3}
+{"event": "step", "step": 291, "targets": 9312, "reward": -0.5850253105163574, "reward_std": 0.1553572416305542, "s": 6264.4}
+{"event": "step", "step": 292, "targets": 9344, "reward": -0.510057270526886, "reward_std": 0.1373518407344818, "s": 6285.1}
+{"event": "step", "step": 293, "targets": 9376, "reward": -0.5281496644020081, "reward_std": 0.10902350395917892, "s": 6305.2}
+{"event": "step", "step": 294, "targets": 9408, "reward": -0.6293890476226807, "reward_std": 0.1269732415676117, "s": 6324.8}
+{"event": "step", "step": 295, "targets": 9440, "reward": -0.6450798511505127, "reward_std": 0.12596672773361206, "s": 6342.6}
+{"event": "step", "step": 296, "targets": 9472, "reward": -0.5284520983695984, "reward_std": 0.12402749061584473, "s": 6363.6}
+{"event": "step", "step": 297, "targets": 9504, "reward": -0.5996944904327393, "reward_std": 0.12481118738651276, "s": 6383.2}
+{"event": "step", "step": 298, "targets": 9536, "reward": -0.5255740880966187, "reward_std": 0.12906992435455322, "s": 6403.8}
+{"event": "step", "step": 299, "targets": 9568, "reward": -0.5487849712371826, "reward_std": 0.11134997010231018, "s": 6425.9}
+{"event": "step", "step": 300, "targets": 9600, "reward": -0.44643333554267883, "reward_std": 0.10528334230184555, "s": 6447.4}
+{"event": "step", "step": 301, "targets": 9632, "reward": -0.5722572803497314, "reward_std": 0.12610894441604614, "s": 6468.6}
+{"event": "step", "step": 302, "targets": 9664, "reward": -0.5781247019767761, "reward_std": 0.14818647503852844, "s": 6489.4}
+{"event": "step", "step": 303, "targets": 9696, "reward": -0.5458242893218994, "reward_std": 0.16495759785175323, "s": 6510.6}
+{"event": "step", "step": 304, "targets": 9728, "reward": -0.35259872674942017, "reward_std": 0.08013442903757095, "s": 6529.9}
+{"event": "step", "step": 305, "targets": 9760, "reward": -0.5244125723838806, "reward_std": 0.14393259584903717, "s": 6550.5}
+{"event": "step", "step": 306, "targets": 9792, "reward": -0.5033447742462158, "reward_std": 0.12278386205434799, "s": 6570.8}
+{"event": "step", "step": 307, "targets": 9824, "reward": -0.4330219626426697, "reward_std": 0.12884357571601868, "s": 6592.1}
+{"event": "step", "step": 308, "targets": 9856, "reward": -0.4741973578929901, "reward_std": 0.10589631646871567, "s": 6612.3}
+{"event": "step", "step": 309, "targets": 9888, "reward": -0.5442766547203064, "reward_std": 0.10765479505062103, "s": 6632.6}
+{"event": "step", "step": 310, "targets": 9920, "reward": -0.5239929556846619, "reward_std": 0.09619885683059692, "s": 6652.1}
+{"event": "step", "step": 311, "targets": 9952, "reward": -0.6913231611251831, "reward_std": 0.13993439078330994, "s": 6671.5}
+{"event": "step", "step": 312, "targets": 9984, "reward": -0.4869769513607025, "reward_std": 0.10038941353559494, "s": 6691.5}
+{"event": "step", "step": 313, "targets": 10016, "reward": -0.588547945022583, "reward_std": 0.11594203859567642, "s": 6712.5}
+{"event": "step", "step": 314, "targets": 10048, "reward": -0.5219326019287109, "reward_std": 0.14127083122730255, "s": 6733.9}
+{"event": "step", "step": 315, "targets": 10080, "reward": -0.51398766040802, "reward_std": 0.11851172149181366, "s": 6752.8}
+{"event": "step", "step": 316, "targets": 10112, "reward": -0.6203624606132507, "reward_std": 0.14913055300712585, "s": 6773.1}
+{"event": "step", "step": 317, "targets": 10144, "reward": -0.5134021639823914, "reward_std": 0.11803781986236572, "s": 6795.2}
+{"event": "step", "step": 318, "targets": 10176, "reward": -0.4258080720901489, "reward_std": 0.12228935956954956, "s": 6815.7}
+{"event": "step", "step": 319, "targets": 10208, "reward": -0.5497252941131592, "reward_std": 0.12983791530132294, "s": 6837.6}
+{"event": "step", "step": 320, "targets": 10240, "reward": -0.5222995281219482, "reward_std": 0.134660005569458, "s": 6858.7}
+{"event": "step", "step": 321, "targets": 10272, "reward": -0.644702672958374, "reward_std": 0.1258050948381424, "s": 6879.0}
+{"event": "step", "step": 322, "targets": 10304, "reward": -0.5369658470153809, "reward_std": 0.11413952708244324, "s": 6899.9}
+{"event": "step", "step": 323, "targets": 10336, "reward": -0.5128203630447388, "reward_std": 0.10452527552843094, "s": 6918.8}
+{"event": "step", "step": 324, "targets": 10368, "reward": -0.4871504604816437, "reward_std": 0.10540030896663666, "s": 6939.6}
+{"event": "step", "step": 325, "targets": 10400, "reward": -0.6562384366989136, "reward_std": 0.1313050240278244, "s": 6959.5}
+{"event": "step", "step": 326, "targets": 10432, "reward": -0.7390634417533875, "reward_std": 0.1563388705253601, "s": 6980.2}
+{"event": "step", "step": 327, "targets": 10464, "reward": -0.5619678497314453, "reward_std": 0.12772119045257568, "s": 7000.0}
+{"event": "step", "step": 328, "targets": 10496, "reward": -0.5678690671920776, "reward_std": 0.1062268391251564, "s": 7020.1}
+{"event": "step", "step": 329, "targets": 10528, "reward": -0.5237476229667664, "reward_std": 0.10259546339511871, "s": 7040.2}
+{"event": "step", "step": 330, "targets": 10560, "reward": -0.4716171622276306, "reward_std": 0.10768680274486542, "s": 7060.7}
+{"event": "step", "step": 331, "targets": 10592, "reward": -0.5808501839637756, "reward_std": 0.11312006413936615, "s": 7082.0}
+{"event": "step", "step": 332, "targets": 10624, "reward": -0.5303781628608704, "reward_std": 0.08960473537445068, "s": 7103.3}
+{"event": "step", "step": 333, "targets": 10656, "reward": -0.5737301111221313, "reward_std": 0.11318395286798477, "s": 7124.4}
+{"event": "step", "step": 334, "targets": 10688, "reward": -0.6872453689575195, "reward_std": 0.148849755525589, "s": 7146.2}
+{"event": "step", "step": 335, "targets": 10720, "reward": -0.583479642868042, "reward_std": 0.13619069755077362, "s": 7167.4}
+{"event": "step", "step": 336, "targets": 10752, "reward": -0.5901336669921875, "reward_std": 0.13157692551612854, "s": 7188.3}
+{"event": "step", "step": 337, "targets": 10784, "reward": -0.617252767086029, "reward_std": 0.12939757108688354, "s": 7209.9}
+{"event": "step", "step": 338, "targets": 10816, "reward": -0.5433432459831238, "reward_std": 0.1339946687221527, "s": 7231.6}
+{"event": "step", "step": 339, "targets": 10848, "reward": -0.4816218912601471, "reward_std": 0.11888952553272247, "s": 7252.7}
+{"event": "step", "step": 340, "targets": 10880, "reward": -0.6427688598632812, "reward_std": 0.1262006163597107, "s": 7272.9}
+{"event": "step", "step": 341, "targets": 10912, "reward": -0.6233471035957336, "reward_std": 0.14691323041915894, "s": 7293.1}
+{"event": "step", "step": 342, "targets": 10944, "reward": -0.6843729615211487, "reward_std": 0.1274004876613617, "s": 7314.5}
+{"event": "step", "step": 343, "targets": 10976, "reward": -0.5730096101760864, "reward_std": 0.1295388787984848, "s": 7336.5}
+{"event": "step", "step": 344, "targets": 11008, "reward": -0.545231282711029, "reward_std": 0.11687345802783966, "s": 7358.4}
+{"event": "step", "step": 345, "targets": 11040, "reward": -0.5034393072128296, "reward_std": 0.09001408517360687, "s": 7379.0}
+{"event": "step", "step": 346, "targets": 11072, "reward": -0.6811448335647583, "reward_std": 0.12113258242607117, "s": 7399.6}
+{"event": "step", "step": 347, "targets": 11104, "reward": -0.6440855860710144, "reward_std": 0.16545003652572632, "s": 7419.6}
+{"event": "step", "step": 348, "targets": 11136, "reward": -0.6136215925216675, "reward_std": 0.15052179992198944, "s": 7438.6}
+{"event": "step", "step": 349, "targets": 11168, "reward": -0.5519129037857056, "reward_std": 0.15225540101528168, "s": 7461.4}
+{"event": "step", "step": 350, "targets": 11200, "reward": -0.4209257662296295, "reward_std": 0.13054388761520386, "s": 7480.3}
+{"event": "step", "step": 351, "targets": 11232, "reward": -0.5306941866874695, "reward_std": 0.11331013590097427, "s": 7502.3}
+{"event": "step", "step": 352, "targets": 11264, "reward": -0.6035094261169434, "reward_std": 0.1459207683801651, "s": 7523.1}
+{"event": "step", "step": 353, "targets": 11296, "reward": -0.5658482909202576, "reward_std": 0.14205139875411987, "s": 7543.0}
+{"event": "step", "step": 354, "targets": 11328, "reward": -0.5753423571586609, "reward_std": 0.13543912768363953, "s": 7563.9}
+{"event": "step", "step": 355, "targets": 11360, "reward": -0.48516327142715454, "reward_std": 0.14666849374771118, "s": 7584.6}
+{"event": "step", "step": 356, "targets": 11392, "reward": -0.7313869595527649, "reward_std": 0.1521177887916565, "s": 7606.8}
+{"event": "step", "step": 357, "targets": 11424, "reward": -0.5590176582336426, "reward_std": 0.1456800401210785, "s": 7627.5}
+{"event": "step", "step": 358, "targets": 11456, "reward": -0.6017084717750549, "reward_std": 0.11276870965957642, "s": 7647.9}
+{"event": "step", "step": 359, "targets": 11488, "reward": -0.6612159013748169, "reward_std": 0.12339220941066742, "s": 7669.6}
+{"event": "step", "step": 360, "targets": 11520, "reward": -0.454326868057251, "reward_std": 0.11882879585027695, "s": 7690.4}
+{"event": "step", "step": 361, "targets": 11552, "reward": -0.5962532758712769, "reward_std": 0.12628978490829468, "s": 7712.0}
+{"event": "step", "step": 362, "targets": 11584, "reward": -0.4587133526802063, "reward_std": 0.10559862852096558, "s": 7734.4}
+{"event": "step", "step": 363, "targets": 11616, "reward": -0.6159993410110474, "reward_std": 0.15198764204978943, "s": 7756.5}
+{"event": "step", "step": 364, "targets": 11648, "reward": -0.4622696340084076, "reward_std": 0.1062423437833786, "s": 7777.7}
+{"event": "step", "step": 365, "targets": 11680, "reward": -0.47048333287239075, "reward_std": 0.11290585994720459, "s": 7799.0}
+{"event": "step", "step": 366, "targets": 11712, "reward": -0.6472789645195007, "reward_std": 0.15883861482143402, "s": 7818.4}
+{"event": "step", "step": 367, "targets": 11744, "reward": -0.3939288556575775, "reward_std": 0.12795960903167725, "s": 7837.6}
+{"event": "step", "step": 368, "targets": 11776, "reward": -0.4048924446105957, "reward_std": 0.09281772375106812, "s": 7859.8}
+{"event": "step", "step": 369, "targets": 11808, "reward": -0.4685254693031311, "reward_std": 0.1028357669711113, "s": 7880.3}
+{"event": "step", "step": 370, "targets": 11840, "reward": -0.5992709398269653, "reward_std": 0.14644339680671692, "s": 7902.0}
+{"event": "step", "step": 371, "targets": 11872, "reward": -0.5243176221847534, "reward_std": 0.10662087798118591, "s": 7923.0}
+{"event": "step", "step": 372, "targets": 11904, "reward": -0.5583416223526001, "reward_std": 0.12062786519527435, "s": 7942.6}
+{"event": "step", "step": 373, "targets": 11936, "reward": -0.5421572923660278, "reward_std": 0.12454477697610855, "s": 7964.0}
+{"event": "step", "step": 374, "targets": 11968, "reward": -0.473480761051178, "reward_std": 0.10510100424289703, "s": 7985.4}
+{"event": "step", "step": 375, "targets": 12000, "reward": -0.4974212944507599, "reward_std": 0.1007889062166214, "s": 8005.5}
+{"event": "step", "step": 376, "targets": 12032, "reward": -0.5814633369445801, "reward_std": 0.11324960738420486, "s": 8026.8}
+{"event": "step", "step": 377, "targets": 12064, "reward": -0.5191883444786072, "reward_std": 0.1212846040725708, "s": 8046.8}
+{"event": "step", "step": 378, "targets": 12096, "reward": -0.5271590352058411, "reward_std": 0.16186858713626862, "s": 8069.0}
+{"event": "step", "step": 379, "targets": 12128, "reward": -0.5053550601005554, "reward_std": 0.12792977690696716, "s": 8087.8}
+{"event": "step", "step": 380, "targets": 12160, "reward": -0.5338613390922546, "reward_std": 0.12109991163015366, "s": 8109.0}
+{"event": "step", "step": 381, "targets": 12192, "reward": -0.5694583058357239, "reward_std": 0.13804185390472412, "s": 8129.1}
+{"event": "step", "step": 382, "targets": 12224, "reward": -0.5222859382629395, "reward_std": 0.11208634078502655, "s": 8149.5}
+{"event": "step", "step": 383, "targets": 12256, "reward": -0.49162566661834717, "reward_std": 0.1087750494480133, "s": 8169.3}
+{"event": "step", "step": 384, "targets": 12288, "reward": -0.547335684299469, "reward_std": 0.1447790563106537, "s": 8190.2}
+{"event": "step", "step": 385, "targets": 12320, "reward": -0.5126421451568604, "reward_std": 0.10589728504419327, "s": 8211.6}
+{"event": "step", "step": 386, "targets": 12352, "reward": -0.7817932963371277, "reward_std": 0.13305430114269257, "s": 8231.1}
+{"event": "step", "step": 387, "targets": 12384, "reward": -0.6123613119125366, "reward_std": 0.13616135716438293, "s": 8253.5}
+{"event": "step", "step": 388, "targets": 12416, "reward": -0.5835922956466675, "reward_std": 0.1494380533695221, "s": 8275.6}
+{"event": "step", "step": 389, "targets": 12448, "reward": -0.5463460683822632, "reward_std": 0.12136240303516388, "s": 8296.6}
+{"event": "step", "step": 390, "targets": 12480, "reward": -0.4267291724681854, "reward_std": 0.10876034200191498, "s": 8319.5}
+{"event": "step", "step": 391, "targets": 12512, "reward": -0.4826061725616455, "reward_std": 0.13383348286151886, "s": 8340.4}
+{"event": "step", "step": 392, "targets": 12544, "reward": -0.5031320452690125, "reward_std": 0.12060128897428513, "s": 8360.5}
+{"event": "step", "step": 393, "targets": 12576, "reward": -0.5042864084243774, "reward_std": 0.11629991978406906, "s": 8383.7}
+{"event": "step", "step": 394, "targets": 12608, "reward": -0.560023844242096, "reward_std": 0.1259014904499054, "s": 8405.9}
+{"event": "step", "step": 395, "targets": 12640, "reward": -0.46096742153167725, "reward_std": 0.09286606311798096, "s": 8427.3}
+{"event": "step", "step": 396, "targets": 12672, "reward": -0.5755822062492371, "reward_std": 0.14239579439163208, "s": 8447.0}
+{"event": "step", "step": 397, "targets": 12704, "reward": -0.4894334673881531, "reward_std": 0.12215407192707062, "s": 8470.4}
+{"event": "step", "step": 398, "targets": 12736, "reward": -0.6323959231376648, "reward_std": 0.16022883355617523, "s": 8492.4}
+{"event": "step", "step": 399, "targets": 12768, "reward": -0.46036961674690247, "reward_std": 0.11865715682506561, "s": 8514.1}
+{"event": "step", "step": 400, "targets": 12800, "reward": -0.5247420072555542, "reward_std": 0.11916019022464752, "s": 8536.5}
+{"event": "step", "step": 401, "targets": 12832, "reward": -0.40435275435447693, "reward_std": 0.10297893732786179, "s": 8559.7}
+{"event": "step", "step": 402, "targets": 12864, "reward": -0.7182117700576782, "reward_std": 0.13705511391162872, "s": 8580.6}
+{"event": "step", "step": 403, "targets": 12896, "reward": -0.6170256733894348, "reward_std": 0.09948450326919556, "s": 8598.9}
+{"event": "step", "step": 404, "targets": 12928, "reward": -0.5086854696273804, "reward_std": 0.1282356083393097, "s": 8618.9}
+{"event": "step", "step": 405, "targets": 12960, "reward": -0.5247138142585754, "reward_std": 0.11231201887130737, "s": 8640.6}
+{"event": "step", "step": 406, "targets": 12992, "reward": -0.5376875996589661, "reward_std": 0.1507481038570404, "s": 8661.9}
+{"event": "step", "step": 407, "targets": 13024, "reward": -0.5033442974090576, "reward_std": 0.12779954075813293, "s": 8682.3}
+{"event": "step", "step": 408, "targets": 13056, "reward": -0.4785904288291931, "reward_std": 0.1109248623251915, "s": 8703.5}
+{"event": "step", "step": 409, "targets": 13088, "reward": -0.553631067276001, "reward_std": 0.11626659333705902, "s": 8722.6}
+{"event": "step", "step": 410, "targets": 13120, "reward": -0.59682697057724, "reward_std": 0.14847500622272491, "s": 8743.9}
+{"event": "step", "step": 411, "targets": 13152, "reward": -0.5611715316772461, "reward_std": 0.1503250151872635, "s": 8764.1}
+{"event": "step", "step": 412, "targets": 13184, "reward": -0.7014955878257751, "reward_std": 0.15291576087474823, "s": 8782.9}
+{"event": "step", "step": 413, "targets": 13216, "reward": -0.5532148480415344, "reward_std": 0.12972350418567657, "s": 8805.5}
+{"event": "step", "step": 414, "targets": 13248, "reward": -0.6349518895149231, "reward_std": 0.15357190370559692, "s": 8826.9}
+{"event": "step", "step": 415, "targets": 13280, "reward": -0.44042837619781494, "reward_std": 0.12914907932281494, "s": 8846.9}
+{"event": "step", "step": 416, "targets": 13312, "reward": -0.5559077858924866, "reward_std": 0.1494775116443634, "s": 8868.4}
+{"event": "step", "step": 417, "targets": 13344, "reward": -0.6202690601348877, "reward_std": 0.14802362024784088, "s": 8890.2}
+{"event": "step", "step": 418, "targets": 13376, "reward": -0.48934537172317505, "reward_std": 0.11155299842357635, "s": 8910.3}
+{"event": "step", "step": 419, "targets": 13408, "reward": -0.4554472863674164, "reward_std": 0.1244959607720375, "s": 8932.9}
+{"event": "step", "step": 420, "targets": 13440, "reward": -0.5784417390823364, "reward_std": 0.13486126065254211, "s": 8953.7}
+{"event": "step", "step": 421, "targets": 13472, "reward": -0.5075472593307495, "reward_std": 0.11904484033584595, "s": 8974.4}
+{"event": "step", "step": 422, "targets": 13504, "reward": -0.5622735619544983, "reward_std": 0.1465979963541031, "s": 8996.5}
+{"event": "step", "step": 423, "targets": 13536, "reward": -0.5791208744049072, "reward_std": 0.12230187654495239, "s": 9014.8}
+{"event": "step", "step": 424, "targets": 13568, "reward": -0.6616588830947876, "reward_std": 0.14101159572601318, "s": 9036.8}
+{"event": "step", "step": 425, "targets": 13600, "reward": -0.5719404220581055, "reward_std": 0.11431073397397995, "s": 9057.5}
+{"event": "step", "step": 426, "targets": 13632, "reward": -0.5016594529151917, "reward_std": 0.13799706101417542, "s": 9078.0}
+{"event": "step", "step": 427, "targets": 13664, "reward": -0.5170894265174866, "reward_std": 0.12483088672161102, "s": 9097.8}
+{"event": "step", "step": 428, "targets": 13696, "reward": -0.5458283424377441, "reward_std": 0.15560367703437805, "s": 9120.4}
+{"event": "step", "step": 429, "targets": 13728, "reward": -0.6062143445014954, "reward_std": 0.14090870320796967, "s": 9142.7}
+{"event": "step", "step": 430, "targets": 13760, "reward": -0.5536830425262451, "reward_std": 0.14557889103889465, "s": 9162.3}
+{"event": "step", "step": 431, "targets": 13792, "reward": -0.4173484444618225, "reward_std": 0.10638454556465149, "s": 9183.4}
+{"event": "step", "step": 432, "targets": 13824, "reward": -0.4690777361392975, "reward_std": 0.12306641042232513, "s": 9204.4}
+{"event": "step", "step": 433, "targets": 13856, "reward": -0.7472352385520935, "reward_std": 0.1890602707862854, "s": 9225.1}
+{"event": "step", "step": 434, "targets": 13888, "reward": -0.5572717189788818, "reward_std": 0.15700405836105347, "s": 9246.0}
+{"event": "step", "step": 435, "targets": 13920, "reward": -0.45165231823921204, "reward_std": 0.12847988307476044, "s": 9267.8}
+{"event": "step", "step": 436, "targets": 13952, "reward": -0.5366780757904053, "reward_std": 0.1401689499616623, "s": 9289.7}
+{"event": "step", "step": 437, "targets": 13984, "reward": -0.615251898765564, "reward_std": 0.1331445425748825, "s": 9311.0}
+{"event": "step", "step": 438, "targets": 14016, "reward": -0.6180753707885742, "reward_std": 0.12891879677772522, "s": 9332.2}
+{"event": "step", "step": 439, "targets": 14048, "reward": -0.5161497592926025, "reward_std": 0.17331163585186005, "s": 9353.2}
+{"event": "step", "step": 440, "targets": 14080, "reward": -0.6566813588142395, "reward_std": 0.15094245970249176, "s": 9373.1}
+{"event": "step", "step": 441, "targets": 14112, "reward": -0.5349592566490173, "reward_std": 0.1274607926607132, "s": 9395.4}
+{"event": "step", "step": 442, "targets": 14144, "reward": -0.6184238791465759, "reward_std": 0.14564353227615356, "s": 9417.9}
+{"event": "step", "step": 443, "targets": 14176, "reward": -0.4856701195240021, "reward_std": 0.1028302013874054, "s": 9439.2}
+{"event": "step", "step": 444, "targets": 14208, "reward": -0.5018426775932312, "reward_std": 0.13686969876289368, "s": 9461.4}
+{"event": "step", "step": 445, "targets": 14240, "reward": -0.500313937664032, "reward_std": 0.135080948472023, "s": 9480.3}
+{"event": "step", "step": 446, "targets": 14272, "reward": -0.6171699166297913, "reward_std": 0.15262143313884735, "s": 9501.2}
+{"event": "step", "step": 447, "targets": 14304, "reward": -0.6482213735580444, "reward_std": 0.16268007457256317, "s": 9523.0}
+{"event": "step", "step": 448, "targets": 14336, "reward": -0.5362963676452637, "reward_std": 0.15452568233013153, "s": 9544.2}
+{"event": "step", "step": 449, "targets": 14368, "reward": -0.4615236818790436, "reward_std": 0.1338687390089035, "s": 9564.7}
+{"event": "step", "step": 450, "targets": 14400, "reward": -0.40641021728515625, "reward_std": 0.11214855313301086, "s": 9585.8}
+{"event": "step", "step": 451, "targets": 14432, "reward": -0.6195192337036133, "reward_std": 0.1549295037984848, "s": 9608.3}
+{"event": "step", "step": 452, "targets": 14464, "reward": -0.5014788508415222, "reward_std": 0.12483111768960953, "s": 9630.3}
+{"event": "step", "step": 453, "targets": 14496, "reward": -0.6248782873153687, "reward_std": 0.1473841518163681, "s": 9650.1}
+{"event": "step", "step": 454, "targets": 14528, "reward": -0.6337209343910217, "reward_std": 0.1637790948152542, "s": 9670.6}
+{"event": "step", "step": 455, "targets": 14560, "reward": -0.5312017202377319, "reward_std": 0.16376341879367828, "s": 9691.9}
+{"event": "step", "step": 456, "targets": 14592, "reward": -0.5786010026931763, "reward_std": 0.12392918765544891, "s": 9714.2}
+{"event": "step", "step": 457, "targets": 14624, "reward": -0.3832305669784546, "reward_std": 0.09179443120956421, "s": 9733.6}
+{"event": "step", "step": 458, "targets": 14656, "reward": -0.5216240286827087, "reward_std": 0.15485921502113342, "s": 9753.9}
+{"event": "step", "step": 459, "targets": 14688, "reward": -0.46865859627723694, "reward_std": 0.10758339613676071, "s": 9775.9}
+{"event": "step", "step": 460, "targets": 14720, "reward": -0.5406199097633362, "reward_std": 0.12325713038444519, "s": 9797.3}
+{"event": "step", "step": 461, "targets": 14752, "reward": -0.5543581247329712, "reward_std": 0.12674254179000854, "s": 9818.3}
+{"event": "step", "step": 462, "targets": 14784, "reward": -0.6511944532394409, "reward_std": 0.12714827060699463, "s": 9837.0}
+{"event": "step", "step": 463, "targets": 14816, "reward": -0.6200847625732422, "reward_std": 0.1312546283006668, "s": 9858.0}
+{"event": "step", "step": 464, "targets": 14848, "reward": -0.5609055161476135, "reward_std": 0.14670585095882416, "s": 9879.9}
+{"event": "step", "step": 465, "targets": 14880, "reward": -0.6993619203567505, "reward_std": 0.15304706990718842, "s": 9901.2}
+{"event": "step", "step": 466, "targets": 14912, "reward": -0.5150235295295715, "reward_std": 0.14131025969982147, "s": 9922.4}
+{"event": "step", "step": 467, "targets": 14944, "reward": -0.4609520733356476, "reward_std": 0.12652114033699036, "s": 9943.5}
+{"event": "step", "step": 468, "targets": 14976, "reward": -0.5289046764373779, "reward_std": 0.11908445507287979, "s": 9964.7}
+{"event": "step", "step": 469, "targets": 15008, "reward": -0.6215432286262512, "reward_std": 0.154437854886055, "s": 9984.4}
+{"event": "step", "step": 470, "targets": 15040, "reward": -0.538560688495636, "reward_std": 0.14059534668922424, "s": 10004.8}
+{"event": "step", "step": 471, "targets": 15072, "reward": -0.5207170248031616, "reward_std": 0.1257604956626892, "s": 10025.3}
+{"event": "step", "step": 472, "targets": 15104, "reward": -0.540470540523529, "reward_std": 0.13357876241207123, "s": 10045.6}
+{"event": "step", "step": 473, "targets": 15136, "reward": -0.47472143173217773, "reward_std": 0.11270719766616821, "s": 10066.4}
+{"event": "step", "step": 474, "targets": 15168, "reward": -0.4817914366722107, "reward_std": 0.11879025399684906, "s": 10088.5}
+{"event": "step", "step": 475, "targets": 15200, "reward": -0.45434731245040894, "reward_std": 0.12162663787603378, "s": 10107.6}
+{"event": "step", "step": 476, "targets": 15232, "reward": -0.7923344373703003, "reward_std": 0.16272865235805511, "s": 10128.4}
+{"event": "step", "step": 477, "targets": 15264, "reward": -0.47632744908332825, "reward_std": 0.10642016679048538, "s": 10149.1}
+{"event": "step", "step": 478, "targets": 15296, "reward": -0.4714726209640503, "reward_std": 0.14733490347862244, "s": 10170.9}
+{"event": "step", "step": 479, "targets": 15328, "reward": -0.5781701803207397, "reward_std": 0.09664047509431839, "s": 10192.0}
+{"event": "step", "step": 480, "targets": 15360, "reward": -0.4220280051231384, "reward_std": 0.09573057293891907, "s": 10212.5}
+{"event": "step", "step": 481, "targets": 15392, "reward": -0.4667588770389557, "reward_std": 0.08421217650175095, "s": 10234.5}
+{"event": "step", "step": 482, "targets": 15424, "reward": -0.5161798596382141, "reward_std": 0.11734771728515625, "s": 10253.9}
+{"event": "step", "step": 483, "targets": 15456, "reward": -0.5292328000068665, "reward_std": 0.1326458603143692, "s": 10273.9}
+{"event": "step", "step": 484, "targets": 15488, "reward": -0.6523928642272949, "reward_std": 0.1407967358827591, "s": 10294.2}
+{"event": "step", "step": 485, "targets": 15520, "reward": -0.5833254456520081, "reward_std": 0.11044791340827942, "s": 10314.2}
+{"event": "step", "step": 486, "targets": 15552, "reward": -0.44047218561172485, "reward_std": 0.12908881902694702, "s": 10335.2}
+{"event": "step", "step": 487, "targets": 15584, "reward": -0.5717097520828247, "reward_std": 0.12356771528720856, "s": 10355.7}
+{"event": "step", "step": 488, "targets": 15616, "reward": -0.6600585579872131, "reward_std": 0.15584108233451843, "s": 10375.3}
+{"event": "step", "step": 489, "targets": 15648, "reward": -0.47188815474510193, "reward_std": 0.13807976245880127, "s": 10397.5}
+{"event": "step", "step": 490, "targets": 15680, "reward": -0.3869534432888031, "reward_std": 0.07940921932458878, "s": 10417.4}
+{"event": "step", "step": 491, "targets": 15712, "reward": -0.5849024057388306, "reward_std": 0.11984071880578995, "s": 10435.7}
+{"event": "step", "step": 492, "targets": 15744, "reward": -0.4770366847515106, "reward_std": 0.10934048891067505, "s": 10456.1}
+{"event": "step", "step": 493, "targets": 15776, "reward": -0.5795332193374634, "reward_std": 0.10005632787942886, "s": 10476.5}
+{"event": "step", "step": 494, "targets": 15808, "reward": -0.4530566930770874, "reward_std": 0.12265507131814957, "s": 10496.9}
+{"event": "step", "step": 495, "targets": 15840, "reward": -0.53849196434021, "reward_std": 0.11099757254123688, "s": 10518.2}
+{"event": "step", "step": 496, "targets": 15872, "reward": -0.46364733576774597, "reward_std": 0.09308052062988281, "s": 10540.4}
+{"event": "step", "step": 497, "targets": 15904, "reward": -0.7076800465583801, "reward_std": 0.15094192326068878, "s": 10562.2}
+{"event": "step", "step": 498, "targets": 15936, "reward": -0.4921405613422394, "reward_std": 0.10665108263492584, "s": 10583.5}
+{"event": "step", "step": 499, "targets": 15968, "reward": -0.5621853470802307, "reward_std": 0.11213954538106918, "s": 10605.3}
+{"event": "step", "step": 500, "targets": 16000, "reward": -0.40056371688842773, "reward_std": 0.08998872339725494, "s": 10626.2}
+{"event": "step", "step": 501, "targets": 16032, "reward": -0.5396322011947632, "reward_std": 0.10909689962863922, "s": 10646.0}
+{"event": "step", "step": 502, "targets": 16064, "reward": -0.6496777534484863, "reward_std": 0.13756901025772095, "s": 10665.8}
+{"event": "step", "step": 503, "targets": 16096, "reward": -0.610417366027832, "reward_std": 0.12459556013345718, "s": 10686.4}
+{"event": "step", "step": 504, "targets": 16128, "reward": -0.6664110422134399, "reward_std": 0.1195712462067604, "s": 10707.8}
+{"event": "step", "step": 505, "targets": 16160, "reward": -0.5528385639190674, "reward_std": 0.15795916318893433, "s": 10728.1}
+{"event": "step", "step": 506, "targets": 16192, "reward": -0.6238394975662231, "reward_std": 0.14767920970916748, "s": 10748.8}
+{"event": "step", "step": 507, "targets": 16224, "reward": -0.5717381238937378, "reward_std": 0.1276901662349701, "s": 10769.2}
+{"event": "step", "step": 508, "targets": 16256, "reward": -0.6372637152671814, "reward_std": 0.12532562017440796, "s": 10789.4}
+{"event": "step", "step": 509, "targets": 16288, "reward": -0.46435999870300293, "reward_std": 0.10365751385688782, "s": 10811.3}
+{"event": "step", "step": 510, "targets": 16320, "reward": -0.5717138051986694, "reward_std": 0.14317740499973297, "s": 10833.4}
+{"event": "step", "step": 511, "targets": 16352, "reward": -0.5337502956390381, "reward_std": 0.12428238242864609, "s": 10856.0}
+{"event": "step", "step": 512, "targets": 16384, "reward": -0.6405158638954163, "reward_std": 0.13236534595489502, "s": 10873.4}
+{"event": "step", "step": 513, "targets": 16416, "reward": -0.5224926471710205, "reward_std": 0.11982116103172302, "s": 10892.8}
+{"event": "step", "step": 514, "targets": 16448, "reward": -0.5930405855178833, "reward_std": 0.11610423028469086, "s": 10915.1}
+{"event": "step", "step": 515, "targets": 16480, "reward": -0.4702887535095215, "reward_std": 0.102582648396492, "s": 10936.9}
+{"event": "step", "step": 516, "targets": 16512, "reward": -0.7669159770011902, "reward_std": 0.14541564881801605, "s": 10958.8}
+{"event": "step", "step": 517, "targets": 16544, "reward": -0.7349572777748108, "reward_std": 0.16225312650203705, "s": 10979.1}
+{"event": "step", "step": 518, "targets": 16576, "reward": -0.735109269618988, "reward_std": 0.16528788208961487, "s": 10999.8}
+{"event": "step", "step": 519, "targets": 16608, "reward": -0.5105737447738647, "reward_std": 0.11638457328081131, "s": 11020.9}
+{"event": "step", "step": 520, "targets": 16640, "reward": -0.5253863334655762, "reward_std": 0.13609857857227325, "s": 11040.8}
+{"event": "step", "step": 521, "targets": 16672, "reward": -0.4003352224826813, "reward_std": 0.09840095043182373, "s": 11062.1}
+{"event": "step", "step": 522, "targets": 16704, "reward": -0.5193657279014587, "reward_std": 0.09407177567481995, "s": 11084.2}
+{"event": "step", "step": 523, "targets": 16736, "reward": -0.7003342509269714, "reward_std": 0.16519305109977722, "s": 11105.9}
+{"event": "step", "step": 524, "targets": 16768, "reward": -0.6863331198692322, "reward_std": 0.15299101173877716, "s": 11129.2}
+{"event": "step", "step": 525, "targets": 16800, "reward": -0.6883547306060791, "reward_std": 0.13740020990371704, "s": 11150.4}
+{"event": "step", "step": 526, "targets": 16832, "reward": -0.42486947774887085, "reward_std": 0.12612634897232056, "s": 11172.2}
+{"event": "step", "step": 527, "targets": 16864, "reward": -0.5889440774917603, "reward_std": 0.10914929956197739, "s": 11192.7}
+{"event": "step", "step": 528, "targets": 16896, "reward": -0.4879671037197113, "reward_std": 0.11351056396961212, "s": 11214.6}
+{"event": "step", "step": 529, "targets": 16928, "reward": -0.6068270802497864, "reward_std": 0.14899678528308868, "s": 11237.3}
+{"event": "step", "step": 530, "targets": 16960, "reward": -0.7079041600227356, "reward_std": 0.16046357154846191, "s": 11258.4}
+{"event": "step", "step": 531, "targets": 16992, "reward": -0.532708466053009, "reward_std": 0.15461619198322296, "s": 11280.6}
+{"event": "step", "step": 532, "targets": 17024, "reward": -0.4665159285068512, "reward_std": 0.08212117105722427, "s": 11301.0}
+{"event": "step", "step": 533, "targets": 17056, "reward": -0.5510575771331787, "reward_std": 0.13266021013259888, "s": 11321.8}
+{"event": "step", "step": 534, "targets": 17088, "reward": -0.6173660159111023, "reward_std": 0.1451672464609146, "s": 11343.7}
+{"event": "step", "step": 535, "targets": 17120, "reward": -0.4744323194026947, "reward_std": 0.1522165685892105, "s": 11364.9}
+{"event": "step", "step": 536, "targets": 17152, "reward": -0.6783225536346436, "reward_std": 0.1581135392189026, "s": 11385.4}
+{"event": "step", "step": 537, "targets": 17184, "reward": -0.5466260313987732, "reward_std": 0.13840602338314056, "s": 11408.4}
+{"event": "step", "step": 538, "targets": 17216, "reward": -0.5776969194412231, "reward_std": 0.13368573784828186, "s": 11430.5}
+{"event": "step", "step": 539, "targets": 17248, "reward": -0.48927968740463257, "reward_std": 0.11766184121370316, "s": 11453.2}
+{"event": "step", "step": 540, "targets": 17280, "reward": -0.5618698596954346, "reward_std": 0.10134781152009964, "s": 11474.7}
+{"event": "step", "step": 541, "targets": 17312, "reward": -0.5412776470184326, "reward_std": 0.12026055157184601, "s": 11495.5}
+{"event": "step", "step": 542, "targets": 17344, "reward": -0.4480319321155548, "reward_std": 0.10594229400157928, "s": 11517.0}
+{"event": "step", "step": 543, "targets": 17376, "reward": -0.5530486702919006, "reward_std": 0.11990345269441605, "s": 11537.6}
+{"event": "step", "step": 544, "targets": 17408, "reward": -0.4714280366897583, "reward_std": 0.11728838831186295, "s": 11561.4}
+{"event": "step", "step": 545, "targets": 17440, "reward": -0.6563928723335266, "reward_std": 0.13141140341758728, "s": 11582.8}
+{"event": "step", "step": 546, "targets": 17472, "reward": -0.5232126116752625, "reward_std": 0.13453952968120575, "s": 11604.5}
+{"event": "step", "step": 547, "targets": 17504, "reward": -0.6875796914100647, "reward_std": 0.15033170580863953, "s": 11627.5}
+{"event": "step", "step": 548, "targets": 17536, "reward": -0.43657535314559937, "reward_std": 0.13417115807533264, "s": 11647.4}
+{"event": "step", "step": 549, "targets": 17568, "reward": -0.7117919325828552, "reward_std": 0.15695030987262726, "s": 11666.7}
+{"event": "step", "step": 550, "targets": 17600, "reward": -0.6209149360656738, "reward_std": 0.12529809772968292, "s": 11688.7}
+{"event": "step", "step": 551, "targets": 17632, "reward": -0.6196948289871216, "reward_std": 0.14708638191223145, "s": 11711.4}
+{"event": "step", "step": 552, "targets": 17664, "reward": -0.5149702429771423, "reward_std": 0.11619825661182404, "s": 11733.2}
+{"event": "step", "step": 553, "targets": 17696, "reward": -0.6400700807571411, "reward_std": 0.1640825867652893, "s": 11754.2}
+{"event": "step", "step": 554, "targets": 17728, "reward": -0.5712718367576599, "reward_std": 0.15372759103775024, "s": 11776.4}
+{"event": "step", "step": 555, "targets": 17760, "reward": -0.6969327926635742, "reward_std": 0.17289361357688904, "s": 11796.2}
+{"event": "step", "step": 556, "targets": 17792, "reward": -0.5121339559555054, "reward_std": 0.12446156144142151, "s": 11819.7}
+{"event": "step", "step": 557, "targets": 17824, "reward": -0.6944870948791504, "reward_std": 0.1473938673734665, "s": 11841.2}
+{"event": "step", "step": 558, "targets": 17856, "reward": -0.6684832572937012, "reward_std": 0.17908857762813568, "s": 11863.8}
+{"event": "step", "step": 559, "targets": 17888, "reward": -0.5370693802833557, "reward_std": 0.14413495361804962, "s": 11884.8}
+{"event": "step", "step": 560, "targets": 17920, "reward": -0.5965351462364197, "reward_std": 0.15486139059066772, "s": 11907.4}
+{"event": "step", "step": 561, "targets": 17952, "reward": -0.5635480880737305, "reward_std": 0.14563195407390594, "s": 11929.7}
+{"event": "step", "step": 562, "targets": 17984, "reward": -0.5476430654525757, "reward_std": 0.1543022096157074, "s": 11952.4}
+{"event": "step", "step": 563, "targets": 18016, "reward": -0.598086416721344, "reward_std": 0.12231588363647461, "s": 11973.9}
+{"event": "step", "step": 564, "targets": 18048, "reward": -0.6074910163879395, "reward_std": 0.14112317562103271, "s": 11994.7}
+{"event": "step", "step": 565, "targets": 18080, "reward": -0.5720982551574707, "reward_std": 0.12977521121501923, "s": 12015.3}
+{"event": "step", "step": 566, "targets": 18112, "reward": -0.678911030292511, "reward_std": 0.15815012156963348, "s": 12035.7}
+{"event": "step", "step": 567, "targets": 18144, "reward": -0.5147966146469116, "reward_std": 0.13195306062698364, "s": 12057.3}
+{"event": "step", "step": 568, "targets": 18176, "reward": -0.45498502254486084, "reward_std": 0.09886278212070465, "s": 12077.3}
+{"event": "step", "step": 569, "targets": 18208, "reward": -0.5694032907485962, "reward_std": 0.16245704889297485, "s": 12098.4}
+{"event": "step", "step": 570, "targets": 18240, "reward": -0.4908764660358429, "reward_std": 0.1373526006937027, "s": 12118.3}
+{"event": "step", "step": 571, "targets": 18272, "reward": -0.6573976874351501, "reward_std": 0.1983424872159958, "s": 12140.8}
+{"event": "step", "step": 572, "targets": 18304, "reward": -0.5608377456665039, "reward_std": 0.1411433219909668, "s": 12162.7}
+{"event": "step", "step": 573, "targets": 18336, "reward": -0.511671245098114, "reward_std": 0.13270972669124603, "s": 12182.9}
+{"event": "step", "step": 574, "targets": 18368, "reward": -0.5326167345046997, "reward_std": 0.14120733737945557, "s": 12204.5}
+{"event": "step", "step": 575, "targets": 18400, "reward": -0.5450425148010254, "reward_std": 0.14251920580863953, "s": 12225.3}
+{"event": "step", "step": 576, "targets": 18432, "reward": -0.5919516682624817, "reward_std": 0.16273526847362518, "s": 12248.2}
+{"event": "step", "step": 577, "targets": 18464, "reward": -0.5796608924865723, "reward_std": 0.15106357634067535, "s": 12270.2}
+{"event": "step", "step": 578, "targets": 18496, "reward": -0.3517339825630188, "reward_std": 0.08676213771104813, "s": 12290.1}
+{"event": "step", "step": 579, "targets": 18528, "reward": -0.5682643055915833, "reward_std": 0.12174784392118454, "s": 12311.9}
+{"event": "step", "step": 580, "targets": 18560, "reward": -0.5977613925933838, "reward_std": 0.1350955367088318, "s": 12335.6}
+{"event": "step", "step": 581, "targets": 18592, "reward": -0.4550483524799347, "reward_std": 0.11752977967262268, "s": 12356.6}
+{"event": "step", "step": 582, "targets": 18624, "reward": -0.45579764246940613, "reward_std": 0.09391177445650101, "s": 12380.5}
+{"event": "step", "step": 583, "targets": 18656, "reward": -0.5109227895736694, "reward_std": 0.11423281580209732, "s": 12401.8}
+{"event": "step", "step": 584, "targets": 18688, "reward": -0.7279126644134521, "reward_std": 0.16688264906406403, "s": 12420.8}
+{"event": "step", "step": 585, "targets": 18720, "reward": -0.5261082649230957, "reward_std": 0.12901341915130615, "s": 12443.6}
+{"event": "step", "step": 586, "targets": 18752, "reward": -0.4557729661464691, "reward_std": 0.10721895098686218, "s": 12466.3}
+{"event": "step", "step": 587, "targets": 18784, "reward": -0.646171510219574, "reward_std": 0.15328125655651093, "s": 12487.9}
+{"event": "step", "step": 588, "targets": 18816, "reward": -0.6650176644325256, "reward_std": 0.14229455590248108, "s": 12508.0}
+{"event": "step", "step": 589, "targets": 18848, "reward": -0.5316034555435181, "reward_std": 0.12896421551704407, "s": 12531.3}
+{"event": "step", "step": 590, "targets": 18880, "reward": -0.4904203712940216, "reward_std": 0.14259463548660278, "s": 12551.9}
+{"event": "step", "step": 591, "targets": 18912, "reward": -0.5802627205848694, "reward_std": 0.16306965053081512, "s": 12572.8}
+{"event": "step", "step": 592, "targets": 18944, "reward": -0.5459052324295044, "reward_std": 0.10276569426059723, "s": 12594.3}
+{"event": "step", "step": 593, "targets": 18976, "reward": -0.5610599517822266, "reward_std": 0.14600570499897003, "s": 12616.9}
+{"event": "step", "step": 594, "targets": 19008, "reward": -0.4461783468723297, "reward_std": 0.10173209011554718, "s": 12637.9}
+{"event": "step", "step": 595, "targets": 19040, "reward": -0.5365909934043884, "reward_std": 0.12566012144088745, "s": 12658.4}
+{"event": "step", "step": 596, "targets": 19072, "reward": -0.5896425247192383, "reward_std": 0.0982242003083229, "s": 12679.6}
+{"event": "step", "step": 597, "targets": 19104, "reward": -0.5948132276535034, "reward_std": 0.09249769896268845, "s": 12699.8}
+{"event": "step", "step": 598, "targets": 19136, "reward": -0.479054719209671, "reward_std": 0.09385976195335388, "s": 12720.0}
+{"event": "step", "step": 599, "targets": 19168, "reward": -0.44133126735687256, "reward_std": 0.11835487186908722, "s": 12739.6}
+{"event": "step", "step": 600, "targets": 19200, "reward": -0.6276572346687317, "reward_std": 0.1538092941045761, "s": 12761.9}
+{"event": "step", "step": 601, "targets": 19232, "reward": -0.5013837218284607, "reward_std": 0.11015595495700836, "s": 12783.0}
+{"event": "step", "step": 602, "targets": 19264, "reward": -0.5690882205963135, "reward_std": 0.12929092347621918, "s": 12804.2}
+{"event": "step", "step": 603, "targets": 19296, "reward": -0.5631682276725769, "reward_std": 0.1022363230586052, "s": 12825.6}
+{"event": "step", "step": 604, "targets": 19328, "reward": -0.556663990020752, "reward_std": 0.1360194981098175, "s": 12846.2}
+{"event": "step", "step": 605, "targets": 19360, "reward": -0.5755332708358765, "reward_std": 0.1333947330713272, "s": 12868.0}
+{"event": "step", "step": 606, "targets": 19392, "reward": -0.48619455099105835, "reward_std": 0.10429394245147705, "s": 12888.3}
+{"event": "step", "step": 607, "targets": 19424, "reward": -0.44768011569976807, "reward_std": 0.0814749002456665, "s": 12912.8}
+{"event": "step", "step": 608, "targets": 19456, "reward": -0.5601916313171387, "reward_std": 0.14666199684143066, "s": 12933.1}
+{"event": "step", "step": 609, "targets": 19488, "reward": -0.5890363454818726, "reward_std": 0.10356251150369644, "s": 12953.8}
+{"event": "step", "step": 610, "targets": 19520, "reward": -0.39757776260375977, "reward_std": 0.09905610233545303, "s": 12974.3}
+{"event": "step", "step": 611, "targets": 19552, "reward": -0.7444678544998169, "reward_std": 0.12474159151315689, "s": 12993.4}
+{"event": "step", "step": 612, "targets": 19584, "reward": -0.5731798410415649, "reward_std": 0.12674389779567719, "s": 13012.3}
+{"event": "step", "step": 613, "targets": 19616, "reward": -0.7282290458679199, "reward_std": 0.140715092420578, "s": 13031.2}
+{"event": "step", "step": 614, "targets": 19648, "reward": -0.7009314298629761, "reward_std": 0.12569831311702728, "s": 13050.3}
+{"event": "step", "step": 615, "targets": 19680, "reward": -0.3813512325286865, "reward_std": 0.09157826751470566, "s": 13071.3}
+{"event": "step", "step": 616, "targets": 19712, "reward": -0.5424954891204834, "reward_std": 0.11077073216438293, "s": 13089.8}
+{"event": "step", "step": 617, "targets": 19744, "reward": -0.5209529995918274, "reward_std": 0.134515643119812, "s": 13110.9}
+{"event": "step", "step": 618, "targets": 19776, "reward": -0.7106837034225464, "reward_std": 0.15943004190921783, "s": 13131.9}
+{"event": "step", "step": 619, "targets": 19808, "reward": -0.45604953169822693, "reward_std": 0.0914183109998703, "s": 13153.9}
+{"event": "step", "step": 620, "targets": 19840, "reward": -0.4996284544467926, "reward_std": 0.10655120015144348, "s": 13174.2}
+{"event": "step", "step": 621, "targets": 19872, "reward": -0.5073860287666321, "reward_std": 0.12778303027153015, "s": 13195.1}
+{"event": "step", "step": 622, "targets": 19904, "reward": -0.512050986289978, "reward_std": 0.08637578785419464, "s": 13213.5}
+{"event": "step", "step": 623, "targets": 19936, "reward": -0.4204726219177246, "reward_std": 0.08604129403829575, "s": 13234.6}
+{"event": "step", "step": 624, "targets": 19968, "reward": -0.6181219220161438, "reward_std": 0.1546652913093567, "s": 13254.1}
+{"event": "step", "step": 625, "targets": 19999, "reward": -0.4404503107070923, "reward_std": 0.11904440820217133, "s": 13272.6}

meta_only/podC/e16/Ra-rank/policy.json

@@ -0,0 +1,7 @@
+{
+ "policy": "rank",
+ "n_pairs": 121510,
+ "targets": 1995,
+ "k": 12,
+ "seed": 0
+}

meta_only/podC/e16/Ra-rank/train_log.jsonl

@@ -0,0 +1,55 @@
+{"event": "rank-data", "group": "algebra2005/0", "n": 3368, "s": 126.69193625450134}
+{"event": "rank-data", "group": "algebra2005/1", "n": 6542, "s": 238.59102034568787}
+{"event": "rank-data", "group": "algebra2005/2", "n": 10488, "s": 386.6413688659668}
+{"event": "rank-data", "group": "algebra2005/3", "n": 13488, "s": 489.9832513332367}
+{"event": "rank-data", "group": "algebra2005/4", "n": 16846, "s": 603.1111133098602}
+{"event": "rank-data", "group": "assist09/0", "n": 19783, "s": 710.0943343639374}
+{"event": "rank-data", "group": "assist09/1", "n": 22892, "s": 826.4805400371552}
+{"event": "rank-data", "group": "assist09/2", "n": 25696, "s": 932.7335827350616}
+{"event": "rank-data", "group": "assist09/3", "n": 28804, "s": 1055.4535863399506}
+{"event": "rank-data", "group": "assist09/4", "n": 31759, "s": 1165.5528752803802}
+{"event": "rank-data", "group": "assist2017/0", "n": 35211, "s": 1275.881603717804}
+{"event": "rank-data", "group": "assist2017/1", "n": 39197, "s": 1418.3832938671112}
+{"event": "rank-data", "group": "assist2017/2", "n": 43086, "s": 1545.5400009155273}
+{"event": "rank-data", "group": "assist2017/3", "n": 46542, "s": 1660.019232749939}
+{"event": "rank-data", "group": "assist2017/4", "n": 49933, "s": 1782.0549576282501}
+{"event": "rank-data", "group": "dbe_kt22/0", "n": 53517, "s": 1887.9450244903564}
+{"event": "rank-data", "group": "dbe_kt22/1", "n": 57933, "s": 2012.2494542598724}
+{"event": "rank-data", "group": "dbe_kt22/2", "n": 61261, "s": 2118.4258444309235}
+{"event": "rank-data", "group": "dbe_kt22/3", "n": 64525, "s": 2216.2560029029846}
+{"event": "rank-data", "group": "dbe_kt22/4", "n": 68173, "s": 2315.9580760002136}
+{"event": "rank-data", "group": "junyi/0", "n": 70583, "s": 2414.0940413475037}
+{"event": "rank-data", "group": "junyi/1", "n": 73780, "s": 2526.7478291988373}
+{"event": "rank-data", "group": "junyi/2", "n": 77052, "s": 2641.236875295639}
+{"event": "rank-data", "group": "junyi/3", "n": 81615, "s": 2802.261440515518}
+{"event": "rank-data", "group": "junyi/4", "n": 85135, "s": 2931.5284321308136}
+{"event": "rank-data", "group": "nips34/0", "n": 88783, "s": 3030.326524734497}
+{"event": "rank-data", "group": "nips34/1", "n": 92815, "s": 3121.710221529007}
+{"event": "rank-data", "group": "nips34/2", "n": 96975, "s": 3225.522170305252}
+{"event": "rank-data", "group": "nips34/3", "n": 100047, "s": 3299.4663989543915}
+{"event": "rank-data", "group": "nips34/4", "n": 103375, "s": 3380.8460240364075}
+{"event": "rank-data", "group": "xes3g5m/0", "n": 106935, "s": 3469.1443498134613}
+{"event": "rank-data", "group": "xes3g5m/1", "n": 109994, "s": 3545.4180870056152}
+{"event": "rank-data", "group": "xes3g5m/2", "n": 113875, "s": 3644.5844604969025}
+{"event": "rank-data", "group": "xes3g5m/3", "n": 117819, "s": 3730.9176564216614}
+{"event": "rank-data", "group": "xes3g5m/4", "n": 121510, "s": 3823.868250846863}
+{"event": "rank-epoch", "epoch": 0, "loss": 1.0812304019927979}
+{"event": "rank-epoch", "epoch": 1, "loss": 0.7550085186958313}
+{"event": "rank-epoch", "epoch": 2, "loss": 0.7608908414840698}
+{"event": "rank-epoch", "epoch": 3, "loss": 0.8885162472724915}
+{"event": "rank-epoch", "epoch": 4, "loss": 0.8005518317222595}
+{"event": "rank-epoch", "epoch": 5, "loss": 1.128046989440918}
+{"event": "rank-epoch", "epoch": 6, "loss": 0.9346140623092651}
+{"event": "rank-epoch", "epoch": 7, "loss": 1.0885199308395386}
+{"event": "rank-epoch", "epoch": 8, "loss": 0.914669930934906}
+{"event": "rank-epoch", "epoch": 9, "loss": 1.2008901834487915}
+{"event": "rank-epoch", "epoch": 10, "loss": 1.0387177467346191}
+{"event": "rank-epoch", "epoch": 11, "loss": 1.2162138223648071}
+{"event": "rank-epoch", "epoch": 12, "loss": 0.8923000693321228}
+{"event": "rank-epoch", "epoch": 13, "loss": 0.8176347017288208}
+{"event": "rank-epoch", "epoch": 14, "loss": 1.0452300310134888}
+{"event": "rank-epoch", "epoch": 15, "loss": 0.6768007278442383}
+{"event": "rank-epoch", "epoch": 16, "loss": 0.7209909558296204}
+{"event": "rank-epoch", "epoch": 17, "loss": 1.3330520391464233}
+{"event": "rank-epoch", "epoch": 18, "loss": 0.953495442867279}
+{"event": "rank-epoch", "epoch": 19, "loss": 0.589341938495636}

meta_only/podC/e16/S1-D-seq-ts1/ckpt-16000/adapter/adapter_config.json

@@ -0,0 +1,57 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "Qwen3_5ForCausalLM",
+    "parent_library": "transformers.models.qwen3_5.modeling_qwen3_5"
+  },
+  "base_model_name_or_path": "/workspace/jev_kt/models/hf/JEV-9B",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "kasa_config": null,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "lora_ga_config": null,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "monteclora_config": null,
+  "peft_type": "LORA",
+  "peft_version": "0.21.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "k_proj",
+    "in_proj_qkv",
+    "out_proj",
+    "o_proj",
+    "gate_proj",
+    "q_proj",
+    "in_proj_z",
+    "up_proj",
+    "down_proj"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_bdlora": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false,
+  "velora_config": null
+}

meta_only/podC/e16/S1-D-seq-ts1/ckpt-16000/adapter_vllm/adapter_config.json

@@ -0,0 +1,58 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "Qwen3_5ForCausalLM",
+    "parent_library": "transformers.models.qwen3_5.modeling_qwen3_5"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "kasa_config": null,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64.0,
+  "lora_bias": false,
+  "lora_dropout": 0.0,
+  "lora_ga_config": null,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "monteclora_config": null,
+  "peft_type": "LORA",
+  "peft_version": "0.21.0",
+  "qalora_group_size": 16,
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "gate_proj",
+    "in_proj_qkv",
+    "in_proj_z",
+    "k_proj",
+    "lm_head",
+    "o_proj",
+    "out_proj",
+    "q_proj",
+    "up_proj",
+    "v_proj"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_bdlora": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false,
+  "velora_config": null
+}

meta_only/podC/e16/S1-D-seq-ts1/ckpt-16000/adapter_vllm/decision_head.json

@@ -0,0 +1,99 @@
+{
+ "bias": [
+  0.0006895901751704514,
+  -0.0006898673018440604,
+  -0.002280863933265209,
+  -0.0013214378850534558,
+  -0.00017509155441075563,
+  0.002259870059788227,
+  0.001987238647416234,
+  -0.00165010173805058,
+  -0.0004259430570527911,
+  -0.00031476374715566635,
+  7.522495434386656e-05,
+  0.0005842162063345313,
+  -0.000459301722003147,
+  -0.0036989436484873295,
+  -0.004491874948143959,
+  -0.005116668995469809,
+  -0.005929071456193924,
+  -0.0043723247945308685,
+  -0.004950443748384714,
+  -0.00509457103908062,
+  -0.003967236261814833,
+  -0.0034623993560671806,
+  -0.005759410560131073,
+  -0.0035512889735400677
+ ],
+ "verbalizer_ids": [
+  3721,
+  1802,
+  15,
+  16,
+  17,
+  18,
+  19,
+  20,
+  32,
+  33,
+  34,
+  35,
+  36,
+  37,
+  38,
+  39,
+  40,
+  41,
+  42,
+  43,
+  44,
+  45,
+  46,
+  47
+ ],
+ "slots": {
+  "num_slots": 24,
+  "ranges": {
+   "noul": [
+    0,
+    2
+   ],
+   "score": [
+    2,
+    8
+   ],
+   "choice": [
+    8,
+    24
+   ]
+  },
+  "verbalizers": [
+   "false",
+   "true",
+   "0",
+   "1",
+   "2",
+   "3",
+   "4",
+   "5",
+   "A",
+   "B",
+   "C",
+   "D",
+   "E",
+   "F",
+   "G",
+   "H",
+   "I",
+   "J",
+   "K",
+   "L",
+   "M",
+   "N",
+   "O",
+   "P"
+  ],
+  "template_version": "bare-v1"
+ },
+ "note": "decision logits = lm_head-LoRA logprobs of verbalizer ids + bias, then per-kind temperature"
+}

meta_only/podC/e16/S1-D-seq-ts1/ckpt-16000/calibration.json

@@ -0,0 +1,29 @@
+{
+ "version": 1,
+ "per_kind": {
+  "noul": 1.0037595601677367,
+  "choice": 1.0035596448300679,
+  "score": 0.9920592547781818
+ },
+ "fit": {
+  "noul": {
+   "n": 487,
+   "T": 1.0037595601677367,
+   "ce_before": 0.28282368183135986,
+   "ce_after": 0.28282156586647034
+  },
+  "choice": {
+   "n": 660,
+   "T": 1.0035596448300679,
+   "ce_before": 0.5127072930335999,
+   "ce_after": 0.512704610824585
+  },
+  "score": {
+   "n": 53,
+   "T": 0.9920592547781818,
+   "ce_before": 1.0517339706420898,
+   "ce_after": 1.051712989807129
+  }
+ },
+ "source": "models/e16/S1-D-seq-ts1/ckpt-16000"
+}

meta_only/podC/e16/S1-D-seq-ts1/ckpt-16000/judge_config.json

@@ -0,0 +1,168 @@
+{
+ "base_model_path": "/root/models/Qwen3.5-9B",
+ "hidden_size": 4096,
+ "slots": {
+  "num_slots": 24,
+  "ranges": {
+   "noul": [
+    0,
+    2
+   ],
+   "score": [
+    2,
+    8
+   ],
+   "choice": [
+    8,
+    24
+   ]
+  },
+  "verbalizers": [
+   "false",
+   "true",
+   "0",
+   "1",
+   "2",
+   "3",
+   "4",
+   "5",
+   "A",
+   "B",
+   "C",
+   "D",
+   "E",
+   "F",
+   "G",
+   "H",
+   "I",
+   "J",
+   "K",
+   "L",
+   "M",
+   "N",
+   "O",
+   "P"
+  ],
+  "template_version": "bare-v1"
+ },
+ "verbalizer_ids": [
+  3721,
+  1802,
+  15,
+  16,
+  17,
+  18,
+  19,
+  20,
+  32,
+  33,
+  34,
+  35,
+  36,
+  37,
+  38,
+  39,
+  40,
+  41,
+  42,
+  43,
+  44,
+  45,
+  46,
+  47
+ ],
+ "kinds": [
+  "noul",
+  "choice",
+  "score"
+ ],
+ "model_name": "jev-judge-qwen35-9b",
+ "model_version": "0.8.0",
+ "lm_head_included": true,
+ "weights_mode": "unmerged",
+ "adapter_subfolder": "adapter",
+ "lora": {
+  "r": 16,
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "target_modules": [
+   "down_proj",
+   "gate_proj",
+   "in_proj_qkv",
+   "in_proj_z",
+   "k_proj",
+   "o_proj",
+   "out_proj",
+   "q_proj",
+   "up_proj",
+   "v_proj"
+  ]
+ },
+ "trained_stage": "e16",
+ "source_checkpoint": "models/e16/S1-D-seq-ts1/ckpt-16000",
+ "softcap": null,
+ "e16": {
+  "data": "data/e16/D-seq",
+  "data_manifest": {
+   "arm": "D-seq",
+   "name": null,
+   "train_sha256": "56c834576c8038663ef50dff35e976aff7d65a5ac4c6248a50805d9e0e50799a",
+   "n_train": 16000
+  },
+  "init": "released",
+  "objective": "s-log",
+  "sigma": 0.5,
+  "K": 8,
+  "reward": "brier",
+  "clip": 0.2,
+  "passes": 1,
+  "lr": 0.0001,
+  "lr_head": 0.0002,
+  "rows_per_step": 32,
+  "train_seed": 1,
+  "replay": "data/e16/replay/train.jsonl",
+  "replay_frac": 0.05,
+  "replay_sha256": "9dd2df19851678750cf79d2fdb47581720930ef2f0c6e18e6fbe23ef2181847e",
+  "max_len": 3072,
+  "schedule": "warmup 0.03 + cosine to x0.05 over 500 steps",
+  "total_rows": 16000,
+  "lora": {
+   "r": 16,
+   "lora_alpha": 32,
+   "lora_dropout": 0.05
+  },
+  "trainer_sha256": "bc7c08e836bd99bb2665b02903cd41404ea029ecfa9b68a9ec1a7cda96958ba4",
+  "event": "ckpt",
+  "tag": "ckpt-16000",
+  "rows_seen": 16000,
+  "replay_seen": 842,
+  "step": 500,
+  "tokens": 8252844,
+  "tok_per_s": 1379.0805766794283,
+  "rows_per_s": 2.8143601241107574,
+  "val": {
+   "n": 1200,
+   "dropped_long": 0,
+   "noul_ce": 0.28282368183135986,
+   "noul_T": 1.0037595601677367,
+   "choice_ce": 0.5127072930335999,
+   "choice_T": 1.0035596448300679,
+   "score_ce": 1.0517339706420898,
+   "score_T": 0.9920592547781818,
+   "noul_auc": 0.7752277707300196,
+   "noul_acc": 0.94,
+   "noul_f1": 0.0,
+   "noul_nll": 0.19686772554181517,
+   "noul_ece": 0.03457317187450826,
+   "noul_brier": 0.0498662483721224,
+   "noul_sharp": 0.4172794222831726,
+   "choice_top1": 0.9366666666666666,
+   "choice_nll": 0.4977540671825409,
+   "choice_brier": 0.009403438307344913,
+   "choice_ece": 0.1455754828453064,
+   "entropy": 0.4040994346141815
+  },
+  "dropped_long": 0,
+  "peak_gib": 18.281863689422607
+ }
+}

meta_only/podC/e16/S1-D-seq-ts1/train_log.jsonl

@@ -0,0 +1,57 @@
+{"time": "20:53:03", "event": "start", "data": "data/e16/D-seq", "data_manifest": {"arm": "D-seq", "name": null, "train_sha256": "56c834576c8038663ef50dff35e976aff7d65a5ac4c6248a50805d9e0e50799a", "n_train": 16000}, "init": "released", "objective": "s-log", "sigma": 0.5, "K": 8, "reward": "brier", "clip": 0.2, "passes": 1, "lr": 0.0001, "lr_head": 0.0002, "rows_per_step": 32, "train_seed": 1, "replay": "data/e16/replay/train.jsonl", "replay_frac": 0.05, "replay_sha256": "9dd2df19851678750cf79d2fdb47581720930ef2f0c6e18e6fbe23ef2181847e", "max_len": 3072, "schedule": "warmup 0.03 + cosine to x0.05 over 500 steps", "total_rows": 16000, "lora": {"r": 16, "lora_alpha": 32, "lora_dropout": 0.05}, "trainer_sha256": "bc7c08e836bd99bb2665b02903cd41404ea029ecfa9b68a9ec1a7cda96958ba4", "device": "cuda", "load_s": 14.177119255065918}
+{"time": "20:55:01", "event": "step", "step": 10, "rows_seen": 320, "lr": 7.333333333333333e-05, "tok_per_s": 1427.1471901994316, "loss": 0.5829417183995247, "entropy": 0.5035274773836136, "sharp": 0.43251627186934155}
+{"time": "20:56:51", "event": "step", "step": 20, "rows_seen": 640, "lr": 9.997508952966197e-05, "tok_per_s": 1445.4887421881037, "loss": 0.4420134164392948, "entropy": 0.400070209056139, "sharp": 0.4216666347102115}
+{"time": "20:58:43", "event": "step", "step": 30, "rows_seen": 960, "lr": 9.977596250541417e-05, "tok_per_s": 1450.6790155805709, "loss": 0.5320976823568344, "entropy": 0.46102187409996986, "sharp": 0.4337877379013942}
+{"time": "21:00:37", "event": "step", "step": 40, "rows_seen": 1280, "lr": 9.937854366485982e-05, "tok_per_s": 1449.0174319269101, "loss": 0.5319786481559277, "entropy": 0.41348689049482346, "sharp": 0.4342004060745239}
+{"time": "21:02:28", "event": "step", "step": 50, "rows_seen": 1600, "lr": 9.8784499920729e-05, "tok_per_s": 1451.6126209535066, "loss": 0.4236745908856392, "entropy": 0.3842851333320141, "sharp": 0.4460568055510521}
+{"time": "21:04:23", "event": "step", "step": 60, "rows_seen": 1920, "lr": 9.79963228989294e-05, "tok_per_s": 1454.873550361969, "loss": 0.38036083430051804, "entropy": 0.41210324317216873, "sharp": 0.43203730242592947}
+{"time": "21:06:13", "event": "step", "step": 70, "rows_seen": 2240, "lr": 9.701731848780134e-05, "tok_per_s": 1458.9044524215558, "loss": 0.44686876609921455, "entropy": 0.42812325805425644, "sharp": 0.40783708829146165}
+{"time": "21:08:08", "event": "step", "step": 80, "rows_seen": 2560, "lr": 9.585159297207315e-05, "tok_per_s": 1458.6144225871876, "loss": 0.5398352742195129, "entropy": 0.527240939438343, "sharp": 0.39769345124562583}
+{"time": "21:10:00", "event": "step", "step": 90, "rows_seen": 2880, "lr": 9.450403580967612e-05, "tok_per_s": 1459.4117832654722, "loss": 0.45771341398358345, "entropy": 0.5052866116166115, "sharp": 0.4031321231056662}
+{"time": "21:11:52", "event": "step", "step": 100, "rows_seen": 3200, "lr": 9.298029912365855e-05, "tok_per_s": 1459.3602746877893, "loss": 0.4917000625282526, "entropy": 0.5231313891708851, "sharp": 0.388722072948109}
+{"time": "21:12:35", "event": "val", "step": 100, "rows_seen": 3200, "n": 500, "dropped_long": 0, "noul_ce": 0.286085844039917, "noul_T": 0.9975124848636652, "choice_ce": 0.529263436794281, "choice_T": 1.0809008431150577, "noul_auc": 0.6986620127981384, "noul_acc": 0.95, "noul_f1": 0.0, "noul_nll": 0.18801250725984572, "noul_ece": 0.07418210733681918, "noul_brier": 0.04427755494783935, "noul_sharp": 0.40539419651031494, "choice_top1": 0.9033333333333333, "choice_nll": 0.5292633771896362, "choice_brier": 0.02064899168908596, "choice_ece": 0.11704258282979331, "entropy": 0.412642240524292}
+{"time": "21:14:29", "event": "step", "step": 110, "rows_seen": 3520, "lr": 9.128677399521752e-05, "tok_per_s": 1409.32141368659, "loss": 0.44717271625995636, "entropy": 0.41534651070833206, "sharp": 0.3955390283039638}
+{"time": "21:16:25", "event": "step", "step": 120, "rows_seen": 3840, "lr": 8.943056365728335e-05, "tok_per_s": 1412.4387745681904, "loss": 0.36423539370298386, "entropy": 0.36931291222572327, "sharp": 0.43409160563820287}
+{"time": "21:18:16", "event": "step", "step": 130, "rows_seen": 4160, "lr": 8.741945370109202e-05, "tok_per_s": 1416.1400479311526, "loss": 0.38885396160185337, "entropy": 0.41539853997528553, "sharp": 0.4120595370020185}
+{"time": "21:20:08", "event": "step", "step": 140, "rows_seen": 4480, "lr": 8.526187942070997e-05, "tok_per_s": 1419.7886032586246, "loss": 0.46429015323519707, "entropy": 0.4855719245970249, "sharp": 0.4197936415672302}
+{"time": "21:22:03", "event": "step", "step": 150, "rows_seen": 4800, "lr": 8.296689043247915e-05, "tok_per_s": 1421.438703598368, "loss": 0.41205805353820324, "entropy": 0.43284959346055984, "sharp": 0.3937670707702637}
+{"time": "21:23:58", "event": "step", "step": 160, "rows_seen": 5120, "lr": 8.054411271778132e-05, "tok_per_s": 1423.8138772281584, "loss": 0.5458217673003674, "entropy": 0.47856270894408226, "sharp": 0.42475207646687824}
+{"time": "21:25:53", "event": "step", "step": 170, "rows_seen": 5440, "lr": 7.800370824832674e-05, "tok_per_s": 1425.775763091709, "loss": 0.4361465871334076, "entropy": 0.42230425775051117, "sharp": 0.4221621702114741}
+{"time": "21:27:45", "event": "step", "step": 180, "rows_seen": 5760, "lr": 7.535633236331324e-05, "tok_per_s": 1427.5086645998956, "loss": 0.35016574151813984, "entropy": 0.38587202690541744, "sharp": 0.4279187000714816}
+{"time": "21:29:39", "event": "step", "step": 190, "rows_seen": 6080, "lr": 7.26130890772308e-05, "tok_per_s": 1428.645812788059, "loss": 0.42715536803007126, "entropy": 0.45845238864421844, "sharp": 0.378070592880249}
+{"time": "21:31:33", "event": "step", "step": 200, "rows_seen": 6400, "lr": 6.978548450576568e-05, "tok_per_s": 1430.044565685687, "loss": 0.3901112712919712, "entropy": 0.4125540144741535, "sharp": 0.39793670922517776}
+{"time": "21:32:17", "event": "val", "step": 200, "rows_seen": 6400, "n": 500, "dropped_long": 0, "noul_ce": 0.28544268012046814, "noul_T": 1.0248220507737111, "choice_ce": 0.5281351208686829, "choice_T": 0.9888825698767377, "noul_auc": 0.6835369400814426, "noul_acc": 0.95, "noul_f1": 0.0, "noul_nll": 0.18235788557678462, "noul_ece": 0.05584779476746918, "noul_brier": 0.04263823396005975, "noul_sharp": 0.41491416096687317, "choice_top1": 0.91, "choice_nll": 0.5281350612640381, "choice_brier": 0.01831687055528164, "choice_ece": 0.13771600882212318, "entropy": 0.42979660630226135}
+{"time": "21:34:11", "event": "step", "step": 210, "rows_seen": 6720, "lr": 6.688537860515266e-05, "tok_per_s": 1405.0795020489352, "loss": 0.5382006280124187, "entropy": 0.466636598110199, "sharp": 0.4153539568185806}
+{"time": "21:36:02", "event": "step", "step": 220, "rows_seen": 7040, "lr": 6.392493542739706e-05, "tok_per_s": 1407.2253315385458, "loss": 0.46370407193899155, "entropy": 0.4563164487481117, "sharp": 0.37961084502083914}
+{"time": "21:37:55", "event": "step", "step": 230, "rows_seen": 7360, "lr": 6.091657210001309e-05, "tok_per_s": 1409.2974644074393, "loss": 0.41553883999586105, "entropy": 0.36609185114502907, "sharp": 0.43256420228216386}
+{"time": "21:39:48", "event": "step", "step": 240, "rows_seen": 7680, "lr": 5.7872906744276015e-05, "tok_per_s": 1410.9762833288971, "loss": 0.3643299825489521, "entropy": 0.357781995087862, "sharp": 0.44105292218072073}
+{"time": "21:41:42", "event": "step", "step": 250, "rows_seen": 8000, "lr": 5.48067055504363e-05, "tok_per_s": 1412.7510674898379, "loss": 0.5358566958457232, "entropy": 0.5051025096327066, "sharp": 0.3847330927848816}
+{"time": "21:43:38", "event": "step", "step": 260, "rows_seen": 8320, "lr": 5.173082923188119e-05, "tok_per_s": 1414.4902064872501, "loss": 0.4410223886370659, "entropy": 0.42563967779278755, "sharp": 0.41046426362461513}
+{"time": "21:45:29", "event": "step", "step": 270, "rows_seen": 8640, "lr": 4.865817908283331e-05, "tok_per_s": 1416.5852821504916, "loss": 0.41739433258771896, "entropy": 0.43983200192451477, "sharp": 0.42444463819265366}
+{"time": "21:47:21", "event": "step", "step": 280, "rows_seen": 8960, "lr": 4.560164286583922e-05, "tok_per_s": 1418.6443365844748, "loss": 0.42186831682920456, "entropy": 0.38271815329790115, "sharp": 0.3873055775960286}
+{"time": "21:49:15", "event": "step", "step": 290, "rows_seen": 9280, "lr": 4.257404075601443e-05, "tok_per_s": 1419.8624251300591, "loss": 0.4534059502184391, "entropy": 0.409634493291378, "sharp": 0.4041898931775774}
+{"time": "21:51:07", "event": "step", "step": 300, "rows_seen": 9600, "lr": 3.958807156877371e-05, "tok_per_s": 1421.4106931931992, "loss": 0.41526737436652184, "entropy": 0.3770290017127991, "sharp": 0.43223677823940915}
+{"time": "21:51:51", "event": "val", "step": 300, "rows_seen": 9600, "n": 500, "dropped_long": 0, "noul_ce": 0.28637856245040894, "noul_T": 1.0862001789365288, "choice_ce": 0.5171222686767578, "choice_T": 0.9651729762906125, "noul_auc": 0.6841186736474695, "noul_acc": 0.955, "noul_f1": 0.0, "noul_nll": 0.17794568075798453, "noul_ece": 0.05809699218720197, "noul_brier": 0.042081847901326436, "noul_sharp": 0.42375433444976807, "choice_top1": 0.92, "choice_nll": 0.5171222686767578, "choice_brier": 0.011889212764799595, "choice_ece": 0.1486661962668101, "entropy": 0.41940757632255554}
+{"time": "21:53:42", "event": "step", "step": 310, "rows_seen": 9920, "lr": 3.665625949658603e-05, "tok_per_s": 1405.4272564714852, "loss": 0.35154495015740395, "entropy": 0.3523991107940674, "sharp": 0.44084347784519196}
+{"time": "21:55:36", "event": "step", "step": 320, "rows_seen": 10240, "lr": 3.379090157815887e-05, "tok_per_s": 1407.0441349031953, "loss": 0.4140140227973461, "entropy": 0.4213935509324074, "sharp": 0.41910844582777756}
+{"time": "21:57:32", "event": "step", "step": 330, "rows_seen": 10560, "lr": 3.10040161203844e-05, "tok_per_s": 1408.237785125523, "loss": 0.3783838823437691, "entropy": 0.3550110589712858, "sharp": 0.4332145134607951}
+{"time": "21:59:22", "event": "step", "step": 340, "rows_seen": 10880, "lr": 2.8307292289383776e-05, "tok_per_s": 1409.6129067892577, "loss": 0.4276783708482981, "entropy": 0.4032477755099535, "sharp": 0.4252691835165024}
+{"time": "22:01:16", "event": "step", "step": 350, "rows_seen": 11200, "lr": 2.571204108208194e-05, "tok_per_s": 1410.9166453973503, "loss": 0.43091506138443947, "entropy": 0.41956086456775665, "sharp": 0.41137702465057374}
+{"time": "22:03:13", "event": "step", "step": 360, "rows_seen": 11520, "lr": 2.322914788395595e-05, "tok_per_s": 1411.5803628461533, "loss": 0.4535260908305645, "entropy": 0.41386837512254715, "sharp": 0.4291701316833496}
+{"time": "22:05:06", "event": "step", "step": 370, "rows_seen": 11840, "lr": 2.0869026811945157e-05, "tok_per_s": 1412.6950295333065, "loss": 0.3838372863829136, "entropy": 0.36276181414723396, "sharp": 0.4236283037397597}
+{"time": "22:06:59", "event": "step", "step": 380, "rows_seen": 12160, "lr": 1.8641577034025627e-05, "tok_per_s": 1413.4603583197108, "loss": 0.42132294923067093, "entropy": 0.386533971875906, "sharp": 0.4138861543991986}
+{"time": "22:08:54", "event": "step", "step": 390, "rows_seen": 12480, "lr": 1.6556141248659472e-05, "tok_per_s": 1414.1016085470221, "loss": 0.4144834578037262, "entropy": 0.4283207915723324, "sharp": 0.4162402017550035}
+{"time": "22:10:47", "event": "step", "step": 400, "rows_seen": 12800, "lr": 1.4621466498270773e-05, "tok_per_s": 1414.9624286286826, "loss": 0.41953204572200775, "entropy": 0.40075794979929924, "sharp": 0.42754108526489953}
+{"time": "22:11:31", "event": "val", "step": 400, "rows_seen": 12800, "n": 500, "dropped_long": 0, "noul_ce": 0.2850594222545624, "noul_T": 1.0421724913502368, "choice_ce": 0.5154069066047668, "choice_T": 1.02979343955431, "noul_auc": 0.68760907504363, "noul_acc": 0.95, "noul_f1": 0.0, "noul_nll": 0.18084150792099535, "noul_ece": 0.06321922838687896, "noul_brier": 0.04257045800051731, "noul_sharp": 0.4154830574989319, "choice_top1": 0.91, "choice_nll": 0.5154069066047668, "choice_brier": 0.011073259636759758, "choice_ece": 0.1306753997008006, "entropy": 0.4094347655773163}
+{"time": "22:13:27", "event": "step", "step": 410, "rows_seen": 13120, "lr": 1.284566748110963e-05, "tok_per_s": 1402.672208666132, "loss": 0.4294319972395897, "entropy": 0.4345882087945938, "sharp": 0.4125651836395264}
+{"time": "22:15:22", "event": "step", "step": 420, "rows_seen": 13440, "lr": 1.1236192515387821e-05, "tok_per_s": 1404.0314099562845, "loss": 0.4315558336675167, "entropy": 0.42343564331531525, "sharp": 0.4105290174484253}
+{"time": "22:17:16", "event": "step", "step": 430, "rows_seen": 13760, "lr": 9.799792298443728e-06, "tok_per_s": 1405.024233037683, "loss": 0.3602312505245209, "entropy": 0.3343560863286257, "sharp": 0.4198279891695295}
+{"time": "22:19:11", "event": "step", "step": 440, "rows_seen": 14080, "lr": 8.542491591971554e-06, "tok_per_s": 1405.8532242799254, "loss": 0.4637549854815006, "entropy": 0.44008656591176987, "sharp": 0.4290528416633606}
+{"time": "22:21:03", "event": "step", "step": 450, "rows_seen": 14400, "lr": 7.469563952077155e-06, "tok_per_s": 1407.0926509144253, "loss": 0.38004010170698166, "entropy": 0.38860425911843777, "sharp": 0.4224332347512245}
+{"time": "22:22:56", "event": "step", "step": 460, "rows_seen": 14720, "lr": 6.585509610150972e-06, "tok_per_s": 1408.1080519484576, "loss": 0.5126758255064487, "entropy": 0.4885532036423683, "sharp": 0.4421592354774475}
+{"time": "22:24:51", "event": "step", "step": 470, "rows_seen": 15040, "lr": 5.894036597333646e-06, "tok_per_s": 1408.8034982620622, "loss": 0.43453953228890896, "entropy": 0.38905228301882744, "sharp": 0.4155241325497627}
+{"time": "22:26:44", "event": "step", "step": 480, "rows_seen": 15360, "lr": 5.398045191744809e-06, "tok_per_s": 1409.6795482537618, "loss": 0.45640015602111816, "entropy": 0.4150339178740978, "sharp": 0.42849934349457425}
+{"time": "22:28:37", "event": "step", "step": 490, "rows_seen": 15680, "lr": 5.099615753708697e-06, "tok_per_s": 1410.6902088250602, "loss": 0.3904743082821369, "entropy": 0.3998345732688904, "sharp": 0.42001809392656597}
+{"time": "22:30:32", "event": "step", "step": 500, "rows_seen": 16000, "lr": 5e-06, "tok_per_s": 1411.0209861665273, "loss": 0.4150649793446064, "entropy": 0.3979184627532959, "sharp": 0.4171705429370587}
+{"time": "22:31:16", "event": "val", "step": 500, "rows_seen": 16000, "n": 500, "dropped_long": 0, "noul_ce": 0.28467032313346863, "noul_T": 1.0130510873148273, "choice_ce": 0.5138343572616577, "choice_T": 1.0142775145132052, "noul_auc": 0.6916812100058174, "noul_acc": 0.95, "noul_f1": 0.0, "noul_nll": 0.1833648663200438, "noul_ece": 0.06468790702521801, "noul_brier": 0.042952829201474835, "noul_sharp": 0.41114872694015503, "choice_top1": 0.9133333333333333, "choice_nll": 0.5138343572616577, "choice_brier": 0.01014811359345913, "choice_ece": 0.13409419139226278, "entropy": 0.4166860282421112}
+{"time": "22:32:48", "event": "ckpt", "tag": "ckpt-16000", "rows_seen": 16000, "replay_seen": 842, "step": 500, "tokens": 8252844, "tok_per_s": 1379.0805766794283, "rows_per_s": 2.8143601241107574, "val": {"n": 1200, "dropped_long": 0, "noul_ce": 0.28282368183135986, "noul_T": 1.0037595601677367, "choice_ce": 0.5127072930335999, "choice_T": 1.0035596448300679, "score_ce": 1.0517339706420898, "score_T": 0.9920592547781818, "noul_auc": 0.7752277707300196, "noul_acc": 0.94, "noul_f1": 0.0, "noul_nll": 0.19686772554181517, "noul_ece": 0.03457317187450826, "noul_brier": 0.0498662483721224, "noul_sharp": 0.4172794222831726, "choice_top1": 0.9366666666666666, "choice_nll": 0.4977540671825409, "choice_brier": 0.009403438307344913, "choice_ece": 0.1455754828453064, "entropy": 0.4040994346141815}, "dropped_long": 0, "peak_gib": 18.281863689422607}

meta_only/podC/e16/S1-D-seq-ts2/ckpt-16000/adapter/adapter_config.json

@@ -0,0 +1,57 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "Qwen3_5ForCausalLM",
+    "parent_library": "transformers.models.qwen3_5.modeling_qwen3_5"
+  },
+  "base_model_name_or_path": "/workspace/jev_kt/models/hf/JEV-9B",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "kasa_config": null,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "lora_ga_config": null,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "monteclora_config": null,
+  "peft_type": "LORA",
+  "peft_version": "0.21.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "v_proj",
+    "down_proj",
+    "up_proj",
+    "gate_proj",
+    "in_proj_qkv",
+    "q_proj",
+    "out_proj",
+    "in_proj_z",
+    "k_proj"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_bdlora": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false,
+  "velora_config": null
+}

meta_only/podC/e16/S1-D-seq-ts2/ckpt-16000/adapter_vllm/adapter_config.json

@@ -0,0 +1,58 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "Qwen3_5ForCausalLM",
+    "parent_library": "transformers.models.qwen3_5.modeling_qwen3_5"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "kasa_config": null,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64.0,
+  "lora_bias": false,
+  "lora_dropout": 0.0,
+  "lora_ga_config": null,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "monteclora_config": null,
+  "peft_type": "LORA",
+  "peft_version": "0.21.0",
+  "qalora_group_size": 16,
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "gate_proj",
+    "in_proj_qkv",
+    "in_proj_z",
+    "k_proj",
+    "lm_head",
+    "o_proj",
+    "out_proj",
+    "q_proj",
+    "up_proj",
+    "v_proj"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_bdlora": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false,
+  "velora_config": null
+}

meta_only/podC/e16/S1-D-seq-ts2/ckpt-16000/adapter_vllm/decision_head.json

@@ -0,0 +1,99 @@
+{
+ "bias": [
+  0.0007501363288611174,
+  -0.0007504227105528116,
+  -0.0023469727020710707,
+  -0.0014608165947720408,
+  -0.00029859947971999645,
+  0.0020362099166959524,
+  0.0015078127617016435,
+  -0.0023339970503002405,
+  -0.00035579813993535936,
+  -0.0002322106302017346,
+  6.745737482560799e-05,
+  0.0005738787585869431,
+  -0.0004436176677700132,
+  -0.0034614887554198503,
+  -0.004304667003452778,
+  -0.005088305100798607,
+  -0.00592603487893939,
+  -0.004350409843027592,
+  -0.004931948147714138,
+  -0.004983304534107447,
+  -0.0038064145483076572,
+  -0.0033817640505731106,
+  -0.005690383724868298,
+  -0.0034758318215608597
+ ],
+ "verbalizer_ids": [
+  3721,
+  1802,
+  15,
+  16,
+  17,
+  18,
+  19,
+  20,
+  32,
+  33,
+  34,
+  35,
+  36,
+  37,
+  38,
+  39,
+  40,
+  41,
+  42,
+  43,
+  44,
+  45,
+  46,
+  47
+ ],
+ "slots": {
+  "num_slots": 24,
+  "ranges": {
+   "noul": [
+    0,
+    2
+   ],
+   "score": [
+    2,
+    8
+   ],
+   "choice": [
+    8,
+    24
+   ]
+  },
+  "verbalizers": [
+   "false",
+   "true",
+   "0",
+   "1",
+   "2",
+   "3",
+   "4",
+   "5",
+   "A",
+   "B",
+   "C",
+   "D",
+   "E",
+   "F",
+   "G",
+   "H",
+   "I",
+   "J",
+   "K",
+   "L",
+   "M",
+   "N",
+   "O",
+   "P"
+  ],
+  "template_version": "bare-v1"
+ },
+ "note": "decision logits = lm_head-LoRA logprobs of verbalizer ids + bias, then per-kind temperature"
+}

meta_only/podC/e16/S1-D-seq-ts2/ckpt-16000/calibration.json

@@ -0,0 +1,29 @@
+{
+ "version": 1,
+ "per_kind": {
+  "noul": 0.9930761760318813,
+  "choice": 0.9877002485044473,
+  "score": 0.9639528095517812
+ },
+ "fit": {
+  "noul": {
+   "n": 487,
+   "T": 0.9930761760318813,
+   "ce_before": 0.28264111280441284,
+   "ce_after": 0.282631516456604
+  },
+  "choice": {
+   "n": 660,
+   "T": 0.9877002485044473,
+   "ce_before": 0.5131847262382507,
+   "ce_after": 0.5131515264511108
+  },
+  "score": {
+   "n": 53,
+   "T": 0.9639528095517812,
+   "ce_before": 1.0503063201904297,
+   "ce_after": 1.0498852729797363
+  }
+ },
+ "source": "models/e16/S1-D-seq-ts2/ckpt-16000"
+}

meta_only/podC/e16/S1-D-seq-ts2/ckpt-16000/judge_config.json

@@ -0,0 +1,168 @@
+{
+ "base_model_path": "/root/models/Qwen3.5-9B",
+ "hidden_size": 4096,
+ "slots": {
+  "num_slots": 24,
+  "ranges": {
+   "noul": [
+    0,
+    2
+   ],
+   "score": [
+    2,
+    8
+   ],
+   "choice": [
+    8,
+    24
+   ]
+  },
+  "verbalizers": [
+   "false",
+   "true",
+   "0",
+   "1",
+   "2",
+   "3",
+   "4",
+   "5",
+   "A",
+   "B",
+   "C",
+   "D",
+   "E",
+   "F",
+   "G",
+   "H",
+   "I",
+   "J",
+   "K",
+   "L",
+   "M",
+   "N",
+   "O",
+   "P"
+  ],
+  "template_version": "bare-v1"
+ },
+ "verbalizer_ids": [
+  3721,
+  1802,
+  15,
+  16,
+  17,
+  18,
+  19,
+  20,
+  32,
+  33,
+  34,
+  35,
+  36,
+  37,
+  38,
+  39,
+  40,
+  41,
+  42,
+  43,
+  44,
+  45,
+  46,
+  47
+ ],
+ "kinds": [
+  "noul",
+  "choice",
+  "score"
+ ],
+ "model_name": "jev-judge-qwen35-9b",
+ "model_version": "0.8.0",
+ "lm_head_included": true,
+ "weights_mode": "unmerged",
+ "adapter_subfolder": "adapter",
+ "lora": {
+  "r": 16,
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "target_modules": [
+   "down_proj",
+   "gate_proj",
+   "in_proj_qkv",
+   "in_proj_z",
+   "k_proj",
+   "o_proj",
+   "out_proj",
+   "q_proj",
+   "up_proj",
+   "v_proj"
+  ]
+ },
+ "trained_stage": "e16",
+ "source_checkpoint": "models/e16/S1-D-seq-ts2/ckpt-16000",
+ "softcap": null,
+ "e16": {
+  "data": "data/e16/D-seq",
+  "data_manifest": {
+   "arm": "D-seq",
+   "name": null,
+   "train_sha256": "56c834576c8038663ef50dff35e976aff7d65a5ac4c6248a50805d9e0e50799a",
+   "n_train": 16000
+  },
+  "init": "released",
+  "objective": "s-log",
+  "sigma": 0.5,
+  "K": 8,
+  "reward": "brier",
+  "clip": 0.2,
+  "passes": 1,
+  "lr": 0.0001,
+  "lr_head": 0.0002,
+  "rows_per_step": 32,
+  "train_seed": 2,
+  "replay": "data/e16/replay/train.jsonl",
+  "replay_frac": 0.05,
+  "replay_sha256": "9dd2df19851678750cf79d2fdb47581720930ef2f0c6e18e6fbe23ef2181847e",
+  "max_len": 3072,
+  "schedule": "warmup 0.03 + cosine to x0.05 over 500 steps",
+  "total_rows": 16000,
+  "lora": {
+   "r": 16,
+   "lora_alpha": 32,
+   "lora_dropout": 0.05
+  },
+  "trainer_sha256": "bc7c08e836bd99bb2665b02903cd41404ea029ecfa9b68a9ec1a7cda96958ba4",
+  "event": "ckpt",
+  "tag": "ckpt-16000",
+  "rows_seen": 16000,
+  "replay_seen": 842,
+  "step": 500,
+  "tokens": 8252844,
+  "tok_per_s": 1376.3170528115097,
+  "rows_per_s": 2.808720460010904,
+  "val": {
+   "n": 1200,
+   "dropped_long": 0,
+   "noul_ce": 0.28264111280441284,
+   "noul_T": 0.9930761760318813,
+   "choice_ce": 0.5131847262382507,
+   "choice_T": 0.9877002485044473,
+   "score_ce": 1.0503063201904297,
+   "score_T": 0.9639528095517812,
+   "noul_auc": 0.7640410563948795,
+   "noul_acc": 0.94,
+   "noul_f1": 0.0,
+   "noul_nll": 0.1984324782434851,
+   "noul_ece": 0.03307440442033112,
+   "noul_brier": 0.0501260525113326,
+   "noul_sharp": 0.4155483543872833,
+   "choice_top1": 0.9383333333333334,
+   "choice_nll": 0.4984520375728607,
+   "choice_brier": 0.009773879311978817,
+   "choice_ece": 0.1512901552518209,
+   "entropy": 0.41024109721183777
+  },
+  "dropped_long": 0,
+  "peak_gib": 18.282634735107422
+ }
+}

meta_only/podC/e16/S1-D-seq-ts2/train_log.jsonl

@@ -0,0 +1,57 @@
+{"time": "03:49:10", "event": "start", "data": "data/e16/D-seq", "data_manifest": {"arm": "D-seq", "name": null, "train_sha256": "56c834576c8038663ef50dff35e976aff7d65a5ac4c6248a50805d9e0e50799a", "n_train": 16000}, "init": "released", "objective": "s-log", "sigma": 0.5, "K": 8, "reward": "brier", "clip": 0.2, "passes": 1, "lr": 0.0001, "lr_head": 0.0002, "rows_per_step": 32, "train_seed": 2, "replay": "data/e16/replay/train.jsonl", "replay_frac": 0.05, "replay_sha256": "9dd2df19851678750cf79d2fdb47581720930ef2f0c6e18e6fbe23ef2181847e", "max_len": 3072, "schedule": "warmup 0.03 + cosine to x0.05 over 500 steps", "total_rows": 16000, "lora": {"r": 16, "lora_alpha": 32, "lora_dropout": 0.05}, "trainer_sha256": "bc7c08e836bd99bb2665b02903cd41404ea029ecfa9b68a9ec1a7cda96958ba4", "device": "cuda", "load_s": 13.806429862976074}
+{"time": "03:51:05", "event": "step", "step": 10, "rows_seen": 320, "lr": 7.333333333333333e-05, "tok_per_s": 1441.4758946405593, "loss": 0.40483372285962105, "entropy": 0.45139874517917633, "sharp": 0.39819259345531466}
+{"time": "03:52:57", "event": "step", "step": 20, "rows_seen": 640, "lr": 9.997508952966197e-05, "tok_per_s": 1450.9344197776713, "loss": 0.4665862061083317, "entropy": 0.48590388894081116, "sharp": 0.37245578236050075}
+{"time": "03:54:51", "event": "step", "step": 30, "rows_seen": 960, "lr": 9.977596250541417e-05, "tok_per_s": 1455.9357168953766, "loss": 0.5076958425343037, "entropy": 0.488980695605278, "sharp": 0.4278332948684692}
+{"time": "03:56:42", "event": "step", "step": 40, "rows_seen": 1280, "lr": 9.937854366485982e-05, "tok_per_s": 1456.132649775032, "loss": 0.36907368153333664, "entropy": 0.3628223389387131, "sharp": 0.39484110631440816}
+{"time": "03:58:37", "event": "step", "step": 50, "rows_seen": 1600, "lr": 9.8784499920729e-05, "tok_per_s": 1454.4672320290583, "loss": 0.487399872392416, "entropy": 0.5124539695680141, "sharp": 0.40816294063221326}
+{"time": "04:00:30", "event": "step", "step": 60, "rows_seen": 1920, "lr": 9.79963228989294e-05, "tok_per_s": 1454.3746590316066, "loss": 0.4536430388689041, "entropy": 0.4861128404736519, "sharp": 0.41687684257825214}
+{"time": "04:02:24", "event": "step", "step": 70, "rows_seen": 2240, "lr": 9.701731848780134e-05, "tok_per_s": 1455.278932015643, "loss": 0.3871086819053744, "entropy": 0.37431947368895635, "sharp": 0.4222999352675218}
+{"time": "04:04:20", "event": "step", "step": 80, "rows_seen": 2560, "lr": 9.585159297207315e-05, "tok_per_s": 1452.4512226988188, "loss": 0.4033517837524414, "entropy": 0.3728438839316368, "sharp": 0.4253738780816396}
+{"time": "04:06:14", "event": "step", "step": 90, "rows_seen": 2880, "lr": 9.450403580967612e-05, "tok_per_s": 1452.211704236256, "loss": 0.3372640945017338, "entropy": 0.30145970918238163, "sharp": 0.43263810873031616}
+{"time": "04:08:09", "event": "step", "step": 100, "rows_seen": 3200, "lr": 9.298029912365855e-05, "tok_per_s": 1450.9693722633933, "loss": 0.36917476635426283, "entropy": 0.3732442036271095, "sharp": 0.4328711601820859}
+{"time": "04:08:53", "event": "val", "step": 100, "rows_seen": 3200, "n": 500, "dropped_long": 0, "noul_ce": 0.28541797399520874, "noul_T": 1.0053895103728505, "choice_ce": 0.5480580925941467, "choice_T": 1.1402600348915937, "noul_auc": 0.6835369400814428, "noul_acc": 0.955, "noul_f1": 0.0, "noul_nll": 0.18495359813794493, "noul_ece": 0.058408075869083406, "noul_brier": 0.042894934554579205, "noul_sharp": 0.41142037510871887, "choice_top1": 0.8733333333333333, "choice_nll": 0.5480580925941467, "choice_brier": 0.030035901814699173, "choice_ece": 0.08877371350924171, "entropy": 0.4047416150569916}
+{"time": "04:10:47", "event": "step", "step": 110, "rows_seen": 3520, "lr": 9.128677399521752e-05, "tok_per_s": 1401.3882211389973, "loss": 0.46804001554846764, "entropy": 0.4697285257279873, "sharp": 0.42382292283905876}
+{"time": "04:12:38", "event": "step", "step": 120, "rows_seen": 3840, "lr": 8.943056365728335e-05, "tok_per_s": 1405.040852442415, "loss": 0.3901802562177181, "entropy": 0.40425701439380646, "sharp": 0.3943955348088191}
+{"time": "04:14:32", "event": "step", "step": 130, "rows_seen": 4160, "lr": 8.741945370109202e-05, "tok_per_s": 1409.3820053615982, "loss": 0.35501548647880554, "entropy": 0.3185710683465004, "sharp": 0.43217859130639297}
+{"time": "04:16:26", "event": "step", "step": 140, "rows_seen": 4480, "lr": 8.526187942070997e-05, "tok_per_s": 1412.8115264528892, "loss": 0.3901521470397711, "entropy": 0.4427321311086416, "sharp": 0.4287854773657663}
+{"time": "04:18:16", "event": "step", "step": 150, "rows_seen": 4800, "lr": 8.296689043247915e-05, "tok_per_s": 1415.8275640488675, "loss": 0.43869320303201675, "entropy": 0.42549214512109756, "sharp": 0.40694092214107513}
+{"time": "04:20:09", "event": "step", "step": 160, "rows_seen": 5120, "lr": 8.054411271778132e-05, "tok_per_s": 1417.6956817079729, "loss": 0.4951119050383568, "entropy": 0.437629122287035, "sharp": 0.4070369203885396}
+{"time": "04:22:02", "event": "step", "step": 170, "rows_seen": 5440, "lr": 7.800370824832674e-05, "tok_per_s": 1419.5284494722428, "loss": 0.42405999451875687, "entropy": 0.38691915571689606, "sharp": 0.4339888294537862}
+{"time": "04:23:57", "event": "step", "step": 180, "rows_seen": 5760, "lr": 7.535633236331324e-05, "tok_per_s": 1421.008682855843, "loss": 0.31513528153300285, "entropy": 0.3315572589635849, "sharp": 0.44235655292868614}
+{"time": "04:25:48", "event": "step", "step": 190, "rows_seen": 6080, "lr": 7.26130890772308e-05, "tok_per_s": 1422.3122311186378, "loss": 0.4149564057588577, "entropy": 0.40414900705218315, "sharp": 0.43470439116160076}
+{"time": "04:27:44", "event": "step", "step": 200, "rows_seen": 6400, "lr": 6.978548450576568e-05, "tok_per_s": 1423.2862576996147, "loss": 0.47761838138103485, "entropy": 0.47227683663368225, "sharp": 0.4163798716935245}
+{"time": "04:28:28", "event": "val", "step": 200, "rows_seen": 6400, "n": 500, "dropped_long": 0, "noul_ce": 0.28647249937057495, "noul_T": 1.0855686026873632, "choice_ce": 0.5253744721412659, "choice_T": 0.9968198790441957, "noul_auc": 0.6858638743455497, "noul_acc": 0.955, "noul_f1": 0.0, "noul_nll": 0.1796341162081808, "noul_ece": 0.044101983848959206, "noul_brier": 0.042491156835746224, "noul_sharp": 0.4229804575443268, "choice_top1": 0.91, "choice_nll": 0.5253744721412659, "choice_brier": 0.01780649833381176, "choice_ece": 0.141472106774648, "entropy": 0.41702499985694885}
+{"time": "04:30:23", "event": "step", "step": 210, "rows_seen": 6720, "lr": 6.688537860515266e-05, "tok_per_s": 1399.4955011352674, "loss": 0.44840237125754356, "entropy": 0.355239181779325, "sharp": 0.4403433557599783}
+{"time": "04:32:17", "event": "step", "step": 220, "rows_seen": 7040, "lr": 6.392493542739706e-05, "tok_per_s": 1400.8152101456878, "loss": 0.498575821518898, "entropy": 0.4977048560976982, "sharp": 0.41791848702864215}
+{"time": "04:34:12", "event": "step", "step": 230, "rows_seen": 7360, "lr": 6.091657210001309e-05, "tok_per_s": 1403.3329169666636, "loss": 0.3565249592065811, "entropy": 0.3507584035396576, "sharp": 0.4037904189183162}
+{"time": "04:36:04", "event": "step", "step": 240, "rows_seen": 7680, "lr": 5.7872906744276015e-05, "tok_per_s": 1405.0753838447513, "loss": 0.4622240848839283, "entropy": 0.4693101644515991, "sharp": 0.42139381696196165}
+{"time": "04:37:56", "event": "step", "step": 250, "rows_seen": 8000, "lr": 5.48067055504363e-05, "tok_per_s": 1407.2455525223547, "loss": 0.46700359135866165, "entropy": 0.44232407212257385, "sharp": 0.4267089366912842}
+{"time": "04:39:48", "event": "step", "step": 260, "rows_seen": 8320, "lr": 5.173082923188119e-05, "tok_per_s": 1408.9074246510486, "loss": 0.4607384465634823, "entropy": 0.4054042026400566, "sharp": 0.4189453601837158}
+{"time": "04:41:41", "event": "step", "step": 270, "rows_seen": 8640, "lr": 4.865817908283331e-05, "tok_per_s": 1410.5969703641344, "loss": 0.39202869310975075, "entropy": 0.3880443461239338, "sharp": 0.4355662912130356}
+{"time": "04:43:33", "event": "step", "step": 280, "rows_seen": 8960, "lr": 4.560164286583922e-05, "tok_per_s": 1412.120116313659, "loss": 0.432099886238575, "entropy": 0.37433578819036484, "sharp": 0.3903578569491704}
+{"time": "04:45:27", "event": "step", "step": 290, "rows_seen": 9280, "lr": 4.257404075601443e-05, "tok_per_s": 1413.2869931148693, "loss": 0.4743833467364311, "entropy": 0.46627792716026306, "sharp": 0.3808260949758383}
+{"time": "04:47:21", "event": "step", "step": 300, "rows_seen": 9600, "lr": 3.958807156877371e-05, "tok_per_s": 1415.0284640982497, "loss": 0.47546797059476376, "entropy": 0.4618851989507675, "sharp": 0.3820836544036865}
+{"time": "04:48:04", "event": "val", "step": 300, "rows_seen": 9600, "n": 500, "dropped_long": 0, "noul_ce": 0.28493255376815796, "noul_T": 1.0345111487967866, "choice_ce": 0.5169104933738708, "choice_T": 0.9733969847702895, "noul_auc": 0.6928446771378709, "noul_acc": 0.95, "noul_f1": 0.0, "noul_nll": 0.1821065834723413, "noul_ece": 0.06345378059893846, "noul_brier": 0.0429410975615864, "noul_sharp": 0.41432029008865356, "choice_top1": 0.9166666666666666, "choice_nll": 0.5169104933738708, "choice_brier": 0.011645627208054066, "choice_ece": 0.13966203729311624, "entropy": 0.4253726601600647}
+{"time": "04:50:00", "event": "step", "step": 310, "rows_seen": 9920, "lr": 3.665625949658603e-05, "tok_per_s": 1399.326757749089, "loss": 0.4253304600715637, "entropy": 0.43525442108511925, "sharp": 0.42640616677024146}
+{"time": "04:51:58", "event": "step", "step": 320, "rows_seen": 10240, "lr": 3.379090157815887e-05, "tok_per_s": 1400.5791497896155, "loss": 0.3240601308643818, "entropy": 0.32448427379131317, "sharp": 0.4232197089327706}
+{"time": "04:53:53", "event": "step", "step": 330, "rows_seen": 10560, "lr": 3.10040161203844e-05, "tok_per_s": 1401.7986747596406, "loss": 0.46837423369288445, "entropy": 0.46257074549794197, "sharp": 0.4171361002055081}
+{"time": "04:55:48", "event": "step", "step": 340, "rows_seen": 10880, "lr": 2.8307292289383776e-05, "tok_per_s": 1403.3535350249797, "loss": 0.3532312121242285, "entropy": 0.32376636285334826, "sharp": 0.4028991386294365}
+{"time": "04:57:42", "event": "step", "step": 350, "rows_seen": 11200, "lr": 2.571204108208194e-05, "tok_per_s": 1405.06273532396, "loss": 0.41887540370225906, "entropy": 0.4303293898701668, "sharp": 0.42651421373540704}
+{"time": "04:59:36", "event": "step", "step": 360, "rows_seen": 11520, "lr": 2.322914788395595e-05, "tok_per_s": 1406.4807197699029, "loss": 0.4073604643344879, "entropy": 0.34987101843580604, "sharp": 0.415236900250117}
+{"time": "05:01:33", "event": "step", "step": 370, "rows_seen": 11840, "lr": 2.0869026811945157e-05, "tok_per_s": 1407.7200769214203, "loss": 0.41856981441378593, "entropy": 0.43565138056874275, "sharp": 0.40076953523299275}
+{"time": "05:03:28", "event": "step", "step": 380, "rows_seen": 12160, "lr": 1.8641577034025627e-05, "tok_per_s": 1408.6781734101535, "loss": 0.34225679095834494, "entropy": 0.3241994585841894, "sharp": 0.4117764011025429}
+{"time": "05:05:21", "event": "step", "step": 390, "rows_seen": 12480, "lr": 1.6556141248659472e-05, "tok_per_s": 1409.980900233753, "loss": 0.4289344921708107, "entropy": 0.43509747833013535, "sharp": 0.40774403647942975}
+{"time": "05:07:15", "event": "step", "step": 400, "rows_seen": 12800, "lr": 1.4621466498270773e-05, "tok_per_s": 1410.8924546806045, "loss": 0.4564981609582901, "entropy": 0.44812191277742386, "sharp": 0.41125810146331787}
+{"time": "05:07:58", "event": "val", "step": 400, "rows_seen": 12800, "n": 500, "dropped_long": 0, "noul_ce": 0.2845892310142517, "noul_T": 1.001971779530662, "choice_ce": 0.5165190696716309, "choice_T": 1.0003533949401078, "noul_auc": 0.6881908086096568, "noul_acc": 0.95, "noul_f1": 0.0, "noul_nll": 0.18586348699405789, "noul_ece": 0.07736954305320978, "noul_brier": 0.04366838821696213, "noul_sharp": 0.40915802121162415, "choice_top1": 0.9133333333333333, "choice_nll": 0.5165190696716309, "choice_brier": 0.011492894031107426, "choice_ece": 0.13791417201360065, "entropy": 0.42346394062042236}
+{"time": "05:09:51", "event": "step", "step": 410, "rows_seen": 13120, "lr": 1.284566748110963e-05, "tok_per_s": 1399.1794105847725, "loss": 0.4590921476483345, "entropy": 0.44383980333805084, "sharp": 0.36517037336642927}
+{"time": "05:11:44", "event": "step", "step": 420, "rows_seen": 13440, "lr": 1.1236192515387821e-05, "tok_per_s": 1400.2627002138913, "loss": 0.5210143961012363, "entropy": 0.506768174469471, "sharp": 0.3951452399293582}
+{"time": "05:13:40", "event": "step", "step": 430, "rows_seen": 13760, "lr": 9.799792298443728e-06, "tok_per_s": 1400.9771918972858, "loss": 0.4154524803161621, "entropy": 0.36140151694417, "sharp": 0.4037834767784391}
+{"time": "05:15:32", "event": "step", "step": 440, "rows_seen": 14080, "lr": 8.542491591971554e-06, "tok_per_s": 1402.0780000143932, "loss": 0.46718376129865646, "entropy": 0.4520089700818062, "sharp": 0.37500122615269255}
+{"time": "05:17:25", "event": "step", "step": 450, "rows_seen": 14400, "lr": 7.469563952077155e-06, "tok_per_s": 1403.2254418374673, "loss": 0.45436034351587296, "entropy": 0.47427287697792053, "sharp": 0.42915696118559155}
+{"time": "05:19:22", "event": "step", "step": 460, "rows_seen": 14720, "lr": 6.585509610150972e-06, "tok_per_s": 1404.1105943945554, "loss": 0.43898648768663406, "entropy": 0.4472915958613157, "sharp": 0.418958292557643}
+{"time": "05:21:11", "event": "step", "step": 470, "rows_seen": 15040, "lr": 5.894036597333646e-06, "tok_per_s": 1405.2015008516316, "loss": 0.3652018290013075, "entropy": 0.31129666790366173, "sharp": 0.4173016089659471}
+{"time": "05:23:03", "event": "step", "step": 480, "rows_seen": 15360, "lr": 5.398045191744809e-06, "tok_per_s": 1406.3819669177394, "loss": 0.3670049048960209, "entropy": 0.315605066716671, "sharp": 0.42210773446343164}
+{"time": "05:24:58", "event": "step", "step": 490, "rows_seen": 15680, "lr": 5.099615753708697e-06, "tok_per_s": 1407.3114395634154, "loss": 0.4605071246623993, "entropy": 0.47258978337049484, "sharp": 0.4009504643353549}
+{"time": "05:26:50", "event": "step", "step": 500, "rows_seen": 16000, "lr": 5e-06, "tok_per_s": 1408.195217478578, "loss": 0.4173383340239525, "entropy": 0.4147912561893463, "sharp": 0.37987091143925983}
+{"time": "05:27:34", "event": "val", "step": 500, "rows_seen": 16000, "n": 500, "dropped_long": 0, "noul_ce": 0.284504234790802, "noul_T": 1.001498514456196, "choice_ce": 0.5149545073509216, "choice_T": 0.9927328471290293, "noul_auc": 0.685282140779523, "noul_acc": 0.95, "noul_f1": 0.0, "noul_nll": 0.18550491221249105, "noul_ece": 0.06699659109115601, "noul_brier": 0.04350531219185244, "noul_sharp": 0.4092024266719818, "choice_top1": 0.9166666666666666, "choice_nll": 0.5149545073509216, "choice_brier": 0.010735292918980122, "choice_ece": 0.14231400688489276, "entropy": 0.4242815673351288}
+{"time": "05:29:07", "event": "ckpt", "tag": "ckpt-16000", "rows_seen": 16000, "replay_seen": 842, "step": 500, "tokens": 8252844, "tok_per_s": 1376.3170528115097, "rows_per_s": 2.808720460010904, "val": {"n": 1200, "dropped_long": 0, "noul_ce": 0.28264111280441284, "noul_T": 0.9930761760318813, "choice_ce": 0.5131847262382507, "choice_T": 0.9877002485044473, "score_ce": 1.0503063201904297, "score_T": 0.9639528095517812, "noul_auc": 0.7640410563948795, "noul_acc": 0.94, "noul_f1": 0.0, "noul_nll": 0.1984324782434851, "noul_ece": 0.03307440442033112, "noul_brier": 0.0501260525113326, "noul_sharp": 0.4155483543872833, "choice_top1": 0.9383333333333334, "choice_nll": 0.4984520375728607, "choice_brier": 0.009773879311978817, "choice_ece": 0.1512901552518209, "entropy": 0.41024109721183777}, "dropped_long": 0, "peak_gib": 18.282634735107422}

meta_only/podC/e16/S1-D-seq/ckpt-16000/adapter/adapter_config.json

@@ -0,0 +1,57 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "Qwen3_5ForCausalLM",
+    "parent_library": "transformers.models.qwen3_5.modeling_qwen3_5"
+  },
+  "base_model_name_or_path": "/workspace/jev_kt/models/hf/JEV-9B",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "kasa_config": null,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "lora_ga_config": null,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "monteclora_config": null,
+  "peft_type": "LORA",
+  "peft_version": "0.21.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "o_proj",
+    "up_proj",
+    "down_proj",
+    "gate_proj",
+    "out_proj",
+    "v_proj",
+    "in_proj_qkv",
+    "in_proj_z",
+    "k_proj"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_bdlora": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false,
+  "velora_config": null
+}

meta_only/podC/e16/S1-D-seq/ckpt-16000/adapter_vllm/adapter_config.json

@@ -0,0 +1,58 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "Qwen3_5ForCausalLM",
+    "parent_library": "transformers.models.qwen3_5.modeling_qwen3_5"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "kasa_config": null,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64.0,
+  "lora_bias": false,
+  "lora_dropout": 0.0,
+  "lora_ga_config": null,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "monteclora_config": null,
+  "peft_type": "LORA",
+  "peft_version": "0.21.0",
+  "qalora_group_size": 16,
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "gate_proj",
+    "in_proj_qkv",
+    "in_proj_z",
+    "k_proj",
+    "lm_head",
+    "o_proj",
+    "out_proj",
+    "q_proj",
+    "up_proj",
+    "v_proj"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_bdlora": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false,
+  "velora_config": null
+}

meta_only/podC/e16/S1-D-seq/ckpt-16000/adapter_vllm/decision_head.json

@@ -0,0 +1,99 @@
+{
+ "bias": [
+  0.00067127839429304,
+  -0.0006715595372952521,
+  -0.002307287650182843,
+  -0.0014290675753727555,
+  -0.0005911712651140988,
+  0.0021240932401269674,
+  0.0014929991448298097,
+  -0.0022979602217674255,
+  -0.000308242131723091,
+  -0.00028509445837698877,
+  1.97725894395262e-05,
+  0.00024061143631115556,
+  -0.0004352858231868595,
+  -0.0036634088028222322,
+  -0.004500896204262972,
+  -0.005137807689607143,
+  -0.005972260609269142,
+  -0.004432279150933027,
+  -0.0049544526264071465,
+  -0.005095010623335838,
+  -0.003931919112801552,
+  -0.003494484117254615,
+  -0.005804156418889761,
+  -0.003531057620421052
+ ],
+ "verbalizer_ids": [
+  3721,
+  1802,
+  15,
+  16,
+  17,
+  18,
+  19,
+  20,
+  32,
+  33,
+  34,
+  35,
+  36,
+  37,
+  38,
+  39,
+  40,
+  41,
+  42,
+  43,
+  44,
+  45,
+  46,
+  47
+ ],
+ "slots": {
+  "num_slots": 24,
+  "ranges": {
+   "noul": [
+    0,
+    2
+   ],
+   "score": [
+    2,
+    8
+   ],
+   "choice": [
+    8,
+    24
+   ]
+  },
+  "verbalizers": [
+   "false",
+   "true",
+   "0",
+   "1",
+   "2",
+   "3",
+   "4",
+   "5",
+   "A",
+   "B",
+   "C",
+   "D",
+   "E",
+   "F",
+   "G",
+   "H",
+   "I",
+   "J",
+   "K",
+   "L",
+   "M",
+   "N",
+   "O",
+   "P"
+  ],
+  "template_version": "bare-v1"
+ },
+ "note": "decision logits = lm_head-LoRA logprobs of verbalizer ids + bias, then per-kind temperature"
+}

meta_only/podC/e16/S1-D-seq/ckpt-16000/calibration.json

@@ -0,0 +1,29 @@
+{
+ "version": 1,
+ "per_kind": {
+  "noul": 0.98617776793893,
+  "choice": 1.0198021545432896,
+  "score": 0.9863055605266354
+ },
+ "fit": {
+  "noul": {
+   "n": 487,
+   "T": 0.98617776793893,
+   "ce_before": 0.28270992636680603,
+   "ce_after": 0.282673180103302
+  },
+  "choice": {
+   "n": 660,
+   "T": 1.0198021545432896,
+   "ce_before": 0.5138152241706848,
+   "ce_after": 0.5137421488761902
+  },
+  "score": {
+   "n": 53,
+   "T": 0.9863055605266354,
+   "ce_before": 1.0524400472640991,
+   "ce_after": 1.0523802042007446
+  }
+ },
+ "source": "models/e16/S1-D-seq/ckpt-16000"
+}

meta_only/podC/e16/S1-D-seq/ckpt-16000/judge_config.json

@@ -0,0 +1,168 @@
+{
+ "base_model_path": "/root/models/Qwen3.5-9B",
+ "hidden_size": 4096,
+ "slots": {
+  "num_slots": 24,
+  "ranges": {
+   "noul": [
+    0,
+    2
+   ],
+   "score": [
+    2,
+    8
+   ],
+   "choice": [
+    8,
+    24
+   ]
+  },
+  "verbalizers": [
+   "false",
+   "true",
+   "0",
+   "1",
+   "2",
+   "3",
+   "4",
+   "5",
+   "A",
+   "B",
+   "C",
+   "D",
+   "E",
+   "F",
+   "G",
+   "H",
+   "I",
+   "J",
+   "K",
+   "L",
+   "M",
+   "N",
+   "O",
+   "P"
+  ],
+  "template_version": "bare-v1"
+ },
+ "verbalizer_ids": [
+  3721,
+  1802,
+  15,
+  16,
+  17,
+  18,
+  19,
+  20,
+  32,
+  33,
+  34,
+  35,
+  36,
+  37,
+  38,
+  39,
+  40,
+  41,
+  42,
+  43,
+  44,
+  45,
+  46,
+  47
+ ],
+ "kinds": [
+  "noul",
+  "choice",
+  "score"
+ ],
+ "model_name": "jev-judge-qwen35-9b",
+ "model_version": "0.8.0",
+ "lm_head_included": true,
+ "weights_mode": "unmerged",
+ "adapter_subfolder": "adapter",
+ "lora": {
+  "r": 16,
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "target_modules": [
+   "down_proj",
+   "gate_proj",
+   "in_proj_qkv",
+   "in_proj_z",
+   "k_proj",
+   "o_proj",
+   "out_proj",
+   "q_proj",
+   "up_proj",
+   "v_proj"
+  ]
+ },
+ "trained_stage": "e16",
+ "source_checkpoint": "models/e16/S1-D-seq/ckpt-16000",
+ "softcap": null,
+ "e16": {
+  "data": "data/e16/D-seq",
+  "data_manifest": {
+   "arm": "D-seq",
+   "name": null,
+   "train_sha256": "56c834576c8038663ef50dff35e976aff7d65a5ac4c6248a50805d9e0e50799a",
+   "n_train": 16000
+  },
+  "init": "released",
+  "objective": "s-log",
+  "sigma": 0.5,
+  "K": 8,
+  "reward": "brier",
+  "clip": 0.2,
+  "passes": 1,
+  "lr": 0.0001,
+  "lr_head": 0.0002,
+  "rows_per_step": 32,
+  "train_seed": 0,
+  "replay": "data/e16/replay/train.jsonl",
+  "replay_frac": 0.05,
+  "replay_sha256": "9dd2df19851678750cf79d2fdb47581720930ef2f0c6e18e6fbe23ef2181847e",
+  "max_len": 3072,
+  "schedule": "warmup 0.03 + cosine to x0.05 over 500 steps",
+  "total_rows": 16000,
+  "lora": {
+   "r": 16,
+   "lora_alpha": 32,
+   "lora_dropout": 0.05
+  },
+  "trainer_sha256": "bc7c08e836bd99bb2665b02903cd41404ea029ecfa9b68a9ec1a7cda96958ba4",
+  "event": "ckpt",
+  "tag": "ckpt-16000",
+  "rows_seen": 16000,
+  "replay_seen": 842,
+  "step": 500,
+  "tokens": 8252844,
+  "tok_per_s": 1388.0007336689791,
+  "rows_per_s": 2.8325639438906167,
+  "val": {
+   "n": 1200,
+   "dropped_long": 0,
+   "noul_ce": 0.28270992636680603,
+   "noul_T": 0.98617776793893,
+   "choice_ce": 0.5138152241706848,
+   "choice_T": 1.0198021545432896,
+   "score_ce": 1.0524400472640991,
+   "score_T": 0.9863055605266354,
+   "noul_auc": 0.7687694614231345,
+   "noul_acc": 0.94,
+   "noul_f1": 0.0,
+   "noul_nll": 0.19844032747205348,
+   "noul_ece": 0.03524344105273485,
+   "noul_brier": 0.05012873477189608,
+   "noul_sharp": 0.41352248191833496,
+   "choice_top1": 0.925,
+   "choice_nll": 0.4993075430393219,
+   "choice_brier": 0.010698705911636353,
+   "choice_ece": 0.1364444311459859,
+   "entropy": 0.40330496430397034
+  },
+  "dropped_long": 0,
+  "peak_gib": 18.282634735107422
+ }
+}

meta_only/podC/e16/S1-D-seq/train_log.jsonl

@@ -0,0 +1,57 @@
+{"time": "01:41:13", "event": "start", "data": "data/e16/D-seq", "data_manifest": {"arm": "D-seq", "name": null, "train_sha256": "56c834576c8038663ef50dff35e976aff7d65a5ac4c6248a50805d9e0e50799a", "n_train": 16000}, "init": "released", "objective": "s-log", "sigma": 0.5, "K": 8, "reward": "brier", "clip": 0.2, "passes": 1, "lr": 0.0001, "lr_head": 0.0002, "rows_per_step": 32, "train_seed": 0, "replay": "data/e16/replay/train.jsonl", "replay_frac": 0.05, "replay_sha256": "9dd2df19851678750cf79d2fdb47581720930ef2f0c6e18e6fbe23ef2181847e", "max_len": 3072, "schedule": "warmup 0.03 + cosine to x0.05 over 500 steps", "total_rows": 16000, "lora": {"r": 16, "lora_alpha": 32, "lora_dropout": 0.05}, "trainer_sha256": "bc7c08e836bd99bb2665b02903cd41404ea029ecfa9b68a9ec1a7cda96958ba4", "device": "cuda", "load_s": 14.635123252868652}
+{"time": "01:43:07", "event": "step", "step": 10, "rows_seen": 320, "lr": 7.333333333333333e-05, "tok_per_s": 1456.4566079469982, "loss": 0.5466495528817177, "entropy": 0.517246849834919, "sharp": 0.3615942643238948}
+{"time": "01:44:57", "event": "step", "step": 20, "rows_seen": 640, "lr": 9.997508952966197e-05, "tok_per_s": 1463.8491558225683, "loss": 0.44307730719447136, "entropy": 0.4342951811850071, "sharp": 0.38220539001318127}
+{"time": "01:46:51", "event": "step", "step": 30, "rows_seen": 960, "lr": 9.977596250541417e-05, "tok_per_s": 1465.025248813331, "loss": 0.4837313201278448, "entropy": 0.44045543298125267, "sharp": 0.4365713963141808}
+{"time": "01:48:42", "event": "step", "step": 40, "rows_seen": 1280, "lr": 9.937854366485982e-05, "tok_per_s": 1463.5575013893908, "loss": 0.4151614010334015, "entropy": 0.41561878472566605, "sharp": 0.43321723204392654}
+{"time": "01:50:34", "event": "step", "step": 50, "rows_seen": 1600, "lr": 9.8784499920729e-05, "tok_per_s": 1464.4169614293648, "loss": 0.4224788211286068, "entropy": 0.3824780695140362, "sharp": 0.4273140292901259}
+{"time": "01:52:29", "event": "step", "step": 60, "rows_seen": 1920, "lr": 9.79963228989294e-05, "tok_per_s": 1462.13100185699, "loss": 0.43034491315484047, "entropy": 0.4728040136396885, "sharp": 0.40262969640585095}
+{"time": "01:54:24", "event": "step", "step": 70, "rows_seen": 2240, "lr": 9.701731848780134e-05, "tok_per_s": 1464.0879512233705, "loss": 0.39599957689642906, "entropy": 0.46202267706394196, "sharp": 0.37894869767702544}
+{"time": "01:56:16", "event": "step", "step": 80, "rows_seen": 2560, "lr": 9.585159297207315e-05, "tok_per_s": 1464.1253450997733, "loss": 0.43119465187191963, "entropy": 0.43131185695528984, "sharp": 0.4265852616383479}
+{"time": "01:58:08", "event": "step", "step": 90, "rows_seen": 2880, "lr": 9.450403580967612e-05, "tok_per_s": 1464.2549553459005, "loss": 0.4702378436923027, "entropy": 0.4429663047194481, "sharp": 0.4225234893652109}
+{"time": "01:59:57", "event": "step", "step": 100, "rows_seen": 3200, "lr": 9.298029912365855e-05, "tok_per_s": 1465.3019401848503, "loss": 0.47271455079317093, "entropy": 0.45796870812773705, "sharp": 0.41329961785903346}
+{"time": "02:00:41", "event": "val", "step": 100, "rows_seen": 3200, "n": 500, "dropped_long": 0, "noul_ce": 0.28661736845970154, "noul_T": 1.0592532708021685, "choice_ce": 0.5382536053657532, "choice_T": 1.0241723621394658, "noul_auc": 0.6858638743455497, "noul_acc": 0.955, "noul_f1": 0.0, "noul_nll": 0.17792564305476843, "noul_ece": 0.06197082778438926, "noul_brier": 0.04139661049479401, "noul_sharp": 0.42068663239479065, "choice_top1": 0.8933333333333333, "choice_nll": 0.5382536053657532, "choice_brier": 0.024807313457131386, "choice_ece": 0.11271326700846356, "entropy": 0.42198577523231506}
+{"time": "02:02:32", "event": "step", "step": 110, "rows_seen": 3520, "lr": 9.128677399521752e-05, "tok_per_s": 1415.6136991945748, "loss": 0.43585506826639175, "entropy": 0.38346096500754356, "sharp": 0.4100703184421246}
+{"time": "02:04:25", "event": "step", "step": 120, "rows_seen": 3840, "lr": 8.943056365728335e-05, "tok_per_s": 1418.9268998956522, "loss": 0.3487232681363821, "entropy": 0.35279967822134495, "sharp": 0.41625091433525085}
+{"time": "02:06:20", "event": "step", "step": 130, "rows_seen": 4160, "lr": 8.741945370109202e-05, "tok_per_s": 1421.967320437392, "loss": 0.4580441936850548, "entropy": 0.4517834819853306, "sharp": 0.4017591201342069}
+{"time": "02:08:14", "event": "step", "step": 140, "rows_seen": 4480, "lr": 8.526187942070997e-05, "tok_per_s": 1425.313022305848, "loss": 0.4696630467660725, "entropy": 0.44716960517689586, "sharp": 0.4325609849049495}
+{"time": "02:10:06", "event": "step", "step": 150, "rows_seen": 4800, "lr": 8.296689043247915e-05, "tok_per_s": 1427.960321301619, "loss": 0.41112668067216873, "entropy": 0.3728324994444847, "sharp": 0.4007343237216656}
+{"time": "02:11:59", "event": "step", "step": 160, "rows_seen": 5120, "lr": 8.054411271778132e-05, "tok_per_s": 1429.9454959285702, "loss": 0.3987751863896847, "entropy": 0.32617326080799103, "sharp": 0.4352287925206698}
+{"time": "02:13:54", "event": "step", "step": 170, "rows_seen": 5440, "lr": 7.800370824832674e-05, "tok_per_s": 1432.1904868471681, "loss": 0.5110342241823673, "entropy": 0.4839504845440388, "sharp": 0.4044514481837933}
+{"time": "02:15:48", "event": "step", "step": 180, "rows_seen": 5760, "lr": 7.535633236331324e-05, "tok_per_s": 1433.121724313786, "loss": 0.40679438784718513, "entropy": 0.41906386613845825, "sharp": 0.4498244524002075}
+{"time": "02:17:40", "event": "step", "step": 190, "rows_seen": 6080, "lr": 7.26130890772308e-05, "tok_per_s": 1434.4711615288695, "loss": 0.3913152627646923, "entropy": 0.42070961743593216, "sharp": 0.4455818212949313}
+{"time": "02:19:32", "event": "step", "step": 200, "rows_seen": 6400, "lr": 6.978548450576568e-05, "tok_per_s": 1435.5940865071295, "loss": 0.41994588635861874, "entropy": 0.4307961594313383, "sharp": 0.41218591653383696}
+{"time": "02:20:16", "event": "val", "step": 200, "rows_seen": 6400, "n": 500, "dropped_long": 0, "noul_ce": 0.28632599115371704, "noul_T": 0.9227854294855315, "choice_ce": 0.5250537395477295, "choice_T": 1.0734290451735327, "noul_auc": 0.6800465386852822, "noul_acc": 0.955, "noul_f1": 0.0, "noul_nll": 0.19476825620047747, "noul_ece": 0.06568767596036196, "noul_brier": 0.04507174624682826, "noul_sharp": 0.3941953182220459, "choice_top1": 0.92, "choice_nll": 0.5250537991523743, "choice_brier": 0.016364822164177895, "choice_ece": 0.13090033253033956, "entropy": 0.4243212342262268}
+{"time": "02:22:11", "event": "step", "step": 210, "rows_seen": 6720, "lr": 6.688537860515266e-05, "tok_per_s": 1411.2336867394172, "loss": 0.5219965353608131, "entropy": 0.51636166498065, "sharp": 0.4007858404746422}
+{"time": "02:24:06", "event": "step", "step": 220, "rows_seen": 7040, "lr": 6.392493542739706e-05, "tok_per_s": 1413.4493236749038, "loss": 0.485761396586895, "entropy": 0.42553040385246277, "sharp": 0.4234114656081566}
+{"time": "02:25:57", "event": "step", "step": 230, "rows_seen": 7360, "lr": 6.091657210001309e-05, "tok_per_s": 1415.4834301594428, "loss": 0.41643551364541054, "entropy": 0.4010254815220833, "sharp": 0.4131015699643355}
+{"time": "02:27:52", "event": "step", "step": 240, "rows_seen": 7680, "lr": 5.7872906744276015e-05, "tok_per_s": 1416.7980036673694, "loss": 0.44888798519968987, "entropy": 0.45954298600554466, "sharp": 0.40234904105846697}
+{"time": "02:29:41", "event": "step", "step": 250, "rows_seen": 8000, "lr": 5.48067055504363e-05, "tok_per_s": 1419.1840742781026, "loss": 0.31055603362619877, "entropy": 0.3016345798969269, "sharp": 0.4375770275409405}
+{"time": "02:31:37", "event": "step", "step": 260, "rows_seen": 8320, "lr": 5.173082923188119e-05, "tok_per_s": 1420.7956221872512, "loss": 0.38788623455911875, "entropy": 0.4047308396548033, "sharp": 0.43543627628913295}
+{"time": "02:33:30", "event": "step", "step": 270, "rows_seen": 8640, "lr": 4.865817908283331e-05, "tok_per_s": 1422.5795227271165, "loss": 0.426463820040226, "entropy": 0.4427286386489868, "sharp": 0.39829977659078747}
+{"time": "02:35:24", "event": "step", "step": 280, "rows_seen": 8960, "lr": 4.560164286583922e-05, "tok_per_s": 1423.9341532238868, "loss": 0.4781746678054333, "entropy": 0.43901655077934265, "sharp": 0.409166544675827}
+{"time": "02:37:17", "event": "step", "step": 290, "rows_seen": 9280, "lr": 4.257404075601443e-05, "tok_per_s": 1425.1114546014837, "loss": 0.4725035894662142, "entropy": 0.41415674798190594, "sharp": 0.420896814419673}
+{"time": "02:39:14", "event": "step", "step": 300, "rows_seen": 9600, "lr": 3.958807156877371e-05, "tok_per_s": 1425.911378597046, "loss": 0.41486882232129574, "entropy": 0.3876395411789417, "sharp": 0.4017958320104159}
+{"time": "02:39:58", "event": "val", "step": 300, "rows_seen": 9600, "n": 500, "dropped_long": 0, "noul_ce": 0.2847837507724762, "noul_T": 1.0175508849995107, "choice_ce": 0.5189374685287476, "choice_T": 1.0157569062760596, "noul_auc": 0.6777196044211751, "noul_acc": 0.95, "noul_f1": 0.0, "noul_nll": 0.18349964966997503, "noul_ece": 0.05282346950843931, "noul_brier": 0.042953866160799464, "noul_sharp": 0.41183364391326904, "choice_top1": 0.91, "choice_nll": 0.5189374089241028, "choice_brier": 0.013682136312127113, "choice_ece": 0.1283987855911255, "entropy": 0.41875001788139343}
+{"time": "02:41:48", "event": "step", "step": 310, "rows_seen": 9920, "lr": 3.665625949658603e-05, "tok_per_s": 1410.229655759704, "loss": 0.4096669852733612, "entropy": 0.39597319066524506, "sharp": 0.4592013909266545}
+{"time": "02:43:40", "event": "step", "step": 320, "rows_seen": 10240, "lr": 3.379090157815887e-05, "tok_per_s": 1411.958749711281, "loss": 0.4684940539300442, "entropy": 0.42830801755189896, "sharp": 0.4372883760012113}
+{"time": "02:45:34", "event": "step", "step": 330, "rows_seen": 10560, "lr": 3.10040161203844e-05, "tok_per_s": 1413.757213687866, "loss": 0.475061172619462, "entropy": 0.485290190204978, "sharp": 0.41011066620166486}
+{"time": "02:47:24", "event": "step", "step": 340, "rows_seen": 10880, "lr": 2.8307292289383776e-05, "tok_per_s": 1415.5087893041946, "loss": 0.3945489227771759, "entropy": 0.3789287768304348, "sharp": 0.37136094386761004}
+{"time": "02:49:17", "event": "step", "step": 350, "rows_seen": 11200, "lr": 2.571204108208194e-05, "tok_per_s": 1416.892760391412, "loss": 0.4134693071246147, "entropy": 0.42520253360271454, "sharp": 0.3931429386138916}
+{"time": "02:51:09", "event": "step", "step": 360, "rows_seen": 11520, "lr": 2.322914788395595e-05, "tok_per_s": 1418.4784992490145, "loss": 0.4762159138917923, "entropy": 0.43261389806866646, "sharp": 0.4159480700126061}
+{"time": "02:53:02", "event": "step", "step": 370, "rows_seen": 11840, "lr": 2.0869026811945157e-05, "tok_per_s": 1419.9127817448007, "loss": 0.42617829516530037, "entropy": 0.431159645318985, "sharp": 0.4413944803751432}
+{"time": "02:54:52", "event": "step", "step": 380, "rows_seen": 12160, "lr": 1.8641577034025627e-05, "tok_per_s": 1420.942903342206, "loss": 0.43670325353741646, "entropy": 0.41818832233548164, "sharp": 0.43043063695614153}
+{"time": "02:56:43", "event": "step", "step": 390, "rows_seen": 12480, "lr": 1.6556141248659472e-05, "tok_per_s": 1422.134607854519, "loss": 0.5597090572118759, "entropy": 0.5187104269862175, "sharp": 0.39414671063423157}
+{"time": "02:58:33", "event": "step", "step": 400, "rows_seen": 12800, "lr": 1.4621466498270773e-05, "tok_per_s": 1422.943611281352, "loss": 0.39409029483795166, "entropy": 0.41323698312044144, "sharp": 0.39301608617489153}
+{"time": "02:59:17", "event": "val", "step": 400, "rows_seen": 12800, "n": 500, "dropped_long": 0, "noul_ce": 0.28464239835739136, "noul_T": 0.9908517294131186, "choice_ce": 0.5171346664428711, "choice_T": 0.9524494693510289, "noul_auc": 0.6905177428737638, "noul_acc": 0.95, "noul_f1": 0.0, "noul_nll": 0.18641689233481884, "noul_ece": 0.056013178210705526, "noul_brier": 0.0436735435569227, "noul_sharp": 0.4070686399936676, "choice_top1": 0.9166666666666666, "choice_nll": 0.5171347260475159, "choice_brier": 0.012146970257163048, "choice_ece": 0.150194255510966, "entropy": 0.43696242570877075}
+{"time": "03:01:11", "event": "step", "step": 410, "rows_seen": 13120, "lr": 1.284566748110963e-05, "tok_per_s": 1411.0358390488148, "loss": 0.39298392459750175, "entropy": 0.3887121342122555, "sharp": 0.39912187365385204}
+{"time": "03:03:04", "event": "step", "step": 420, "rows_seen": 13440, "lr": 1.1236192515387821e-05, "tok_per_s": 1412.4147484839807, "loss": 0.4279983192682266, "entropy": 0.4365241974592209, "sharp": 0.4517574126903827}
+{"time": "03:05:01", "event": "step", "step": 430, "rows_seen": 13760, "lr": 9.799792298443728e-06, "tok_per_s": 1413.4015455326373, "loss": 0.39432063326239586, "entropy": 0.372658371925354, "sharp": 0.42161696690779465}
+{"time": "03:06:50", "event": "step", "step": 440, "rows_seen": 14080, "lr": 8.542491591971554e-06, "tok_per_s": 1414.6196598602987, "loss": 0.3880738653242588, "entropy": 0.3504725359380245, "sharp": 0.44202253451714146}
+{"time": "03:08:41", "event": "step", "step": 450, "rows_seen": 14400, "lr": 7.469563952077155e-06, "tok_per_s": 1415.8064931968092, "loss": 0.30155943892896175, "entropy": 0.2993687614798546, "sharp": 0.4443095280573918}
+{"time": "03:10:32", "event": "step", "step": 460, "rows_seen": 14720, "lr": 6.585509610150972e-06, "tok_per_s": 1416.9707306908886, "loss": 0.47693465650081635, "entropy": 0.4625518098473549, "sharp": 0.3687303066253662}
+{"time": "03:12:22", "event": "step", "step": 470, "rows_seen": 15040, "lr": 5.894036597333646e-06, "tok_per_s": 1418.1007004425662, "loss": 0.5364094469696283, "entropy": 0.5091019496321678, "sharp": 0.437362395800077}
+{"time": "03:14:13", "event": "step", "step": 480, "rows_seen": 15360, "lr": 5.398045191744809e-06, "tok_per_s": 1418.882943584395, "loss": 0.46612100675702095, "entropy": 0.4190646521747112, "sharp": 0.36967602142920863}
+{"time": "03:16:06", "event": "step", "step": 490, "rows_seen": 15680, "lr": 5.099615753708697e-06, "tok_per_s": 1419.8123478497362, "loss": 0.34847426880151033, "entropy": 0.3483805921860039, "sharp": 0.43181294661301833}
+{"time": "03:18:03", "event": "step", "step": 500, "rows_seen": 16000, "lr": 5e-06, "tok_per_s": 1420.4158192326408, "loss": 0.43625086173415184, "entropy": 0.432541255839169, "sharp": 0.4186148460094745}
+{"time": "03:18:47", "event": "val", "step": 500, "rows_seen": 16000, "n": 500, "dropped_long": 0, "noul_ce": 0.28469711542129517, "noul_T": 0.994473244192307, "choice_ce": 0.5157698392868042, "choice_T": 1.0279886080588168, "noul_auc": 0.6893542757417103, "noul_acc": 0.95, "noul_f1": 0.0, "noul_nll": 0.18621792605146767, "noul_ece": 0.05719471339136362, "noul_brier": 0.0437364420648162, "noul_sharp": 0.4073026180267334, "choice_top1": 0.8933333333333333, "choice_nll": 0.5157698392868042, "choice_brier": 0.011870864778757095, "choice_ece": 0.12944003462791442, "entropy": 0.41757169365882874}
+{"time": "03:20:20", "event": "ckpt", "tag": "ckpt-16000", "rows_seen": 16000, "replay_seen": 842, "step": 500, "tokens": 8252844, "tok_per_s": 1388.0007336689791, "rows_per_s": 2.8325639438906167, "val": {"n": 1200, "dropped_long": 0, "noul_ce": 0.28270992636680603, "noul_T": 0.98617776793893, "choice_ce": 0.5138152241706848, "choice_T": 1.0198021545432896, "score_ce": 1.0524400472640991, "score_T": 0.9863055605266354, "noul_auc": 0.7687694614231345, "noul_acc": 0.94, "noul_f1": 0.0, "noul_nll": 0.19844032747205348, "noul_ece": 0.03524344105273485, "noul_brier": 0.05012873477189608, "noul_sharp": 0.41352248191833496, "choice_top1": 0.925, "choice_nll": 0.4993075430393219, "choice_brier": 0.010698705911636353, "choice_ece": 0.1364444311459859, "entropy": 0.40330496430397034}, "dropped_long": 0, "peak_gib": 18.282634735107422}

meta_only/podC/e16/S1-E19-a1-n16k-soft-syn/ckpt-16000/adapter/adapter_config.json

@@ -0,0 +1,57 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "Qwen3_5ForCausalLM",
+    "parent_library": "transformers.models.qwen3_5.modeling_qwen3_5"
+  },
+  "base_model_name_or_path": "/workspace/jev_kt/models/hf/JEV-9B",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "kasa_config": null,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "lora_ga_config": null,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "monteclora_config": null,
+  "peft_type": "LORA",
+  "peft_version": "0.21.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "up_proj",
+    "q_proj",
+    "in_proj_qkv",
+    "k_proj",
+    "in_proj_z",
+    "down_proj",
+    "out_proj",
+    "gate_proj",
+    "v_proj"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_bdlora": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false,
+  "velora_config": null
+}

meta_only/podC/e16/S1-E19-a1-n16k-soft-syn/ckpt-16000/adapter_vllm/adapter_config.json

@@ -0,0 +1,58 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "Qwen3_5ForCausalLM",
+    "parent_library": "transformers.models.qwen3_5.modeling_qwen3_5"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "kasa_config": null,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64.0,
+  "lora_bias": false,
+  "lora_dropout": 0.0,
+  "lora_ga_config": null,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "monteclora_config": null,
+  "peft_type": "LORA",
+  "peft_version": "0.21.0",
+  "qalora_group_size": 16,
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "gate_proj",
+    "in_proj_qkv",
+    "in_proj_z",
+    "k_proj",
+    "lm_head",
+    "o_proj",
+    "out_proj",
+    "q_proj",
+    "up_proj",
+    "v_proj"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_bdlora": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false,
+  "velora_config": null
+}

meta_only/podC/e16/S1-E19-a1-n16k-soft-syn/ckpt-16000/adapter_vllm/decision_head.json

@@ -0,0 +1,99 @@
+{
+ "bias": [
+  0.0006137416930869222,
+  -0.0006140042678453028,
+  -0.0019505968084558845,
+  -0.0013588439906015992,
+  -0.00043560078484006226,
+  0.0019446366932243109,
+  0.0014943128917366266,
+  -0.002277946099638939,
+  -0.0006216860492713749,
+  -0.00044265243923291564,
+  -0.00015286121924873441,
+  0.0001331199164269492,
+  -6.697973003610969e-05,
+  -0.003444333327934146,
+  -0.004324695561081171,
+  -0.005089356563985348,
+  -0.005958567839115858,
+  -0.004341926425695419,
+  -0.004930788651108742,
+  -0.004969838075339794,
+  -0.0039724367670714855,
+  -0.0033796329516917467,
+  -0.005638263188302517,
+  -0.0034764064475893974
+ ],
+ "verbalizer_ids": [
+  3721,
+  1802,
+  15,
+  16,
+  17,
+  18,
+  19,
+  20,
+  32,
+  33,
+  34,
+  35,
+  36,
+  37,
+  38,
+  39,
+  40,
+  41,
+  42,
+  43,
+  44,
+  45,
+  46,
+  47
+ ],
+ "slots": {
+  "num_slots": 24,
+  "ranges": {
+   "noul": [
+    0,
+    2
+   ],
+   "score": [
+    2,
+    8
+   ],
+   "choice": [
+    8,
+    24
+   ]
+  },
+  "verbalizers": [
+   "false",
+   "true",
+   "0",
+   "1",
+   "2",
+   "3",
+   "4",
+   "5",
+   "A",
+   "B",
+   "C",
+   "D",
+   "E",
+   "F",
+   "G",
+   "H",
+   "I",
+   "J",
+   "K",
+   "L",
+   "M",
+   "N",
+   "O",
+   "P"
+  ],
+  "template_version": "bare-v1"
+ },
+ "note": "decision logits = lm_head-LoRA logprobs of verbalizer ids + bias, then per-kind temperature"
+}

meta_only/podC/e16/S1-E19-a1-n16k-soft-syn/ckpt-16000/calibration.json

@@ -0,0 +1,29 @@
+{
+ "version": 1,
+ "per_kind": {
+  "noul": 0.7678141283914748,
+  "choice": 1.079829269495149,
+  "score": 0.9560367711826933
+ },
+ "fit": {
+  "noul": {
+   "n": 1087,
+   "T": 0.7678141283914748,
+   "ce_before": 0.5959866642951965,
+   "ce_after": 0.5919238924980164
+  },
+  "choice": {
+   "n": 60,
+   "T": 1.079829269495149,
+   "ce_before": 0.6801876425743103,
+   "ce_after": 0.6788405776023865
+  },
+  "score": {
+   "n": 53,
+   "T": 0.9560367711826933,
+   "ce_before": 1.0680758953094482,
+   "ce_after": 1.0674799680709839
+  }
+ },
+ "source": "models/e16/S1-E19-a1-n16k-soft-syn/ckpt-16000"
+}

meta_only/podC/e16/S1-E19-a1-n16k-soft-syn/ckpt-16000/judge_config.json

@@ -0,0 +1,164 @@
+{
+ "base_model_path": "/root/models/Qwen3.5-9B",
+ "hidden_size": 4096,
+ "slots": {
+  "num_slots": 24,
+  "ranges": {
+   "noul": [
+    0,
+    2
+   ],
+   "score": [
+    2,
+    8
+   ],
+   "choice": [
+    8,
+    24
+   ]
+  },
+  "verbalizers": [
+   "false",
+   "true",
+   "0",
+   "1",
+   "2",
+   "3",
+   "4",
+   "5",
+   "A",
+   "B",
+   "C",
+   "D",
+   "E",
+   "F",
+   "G",
+   "H",
+   "I",
+   "J",
+   "K",
+   "L",
+   "M",
+   "N",
+   "O",
+   "P"
+  ],
+  "template_version": "bare-v1"
+ },
+ "verbalizer_ids": [
+  3721,
+  1802,
+  15,
+  16,
+  17,
+  18,
+  19,
+  20,
+  32,
+  33,
+  34,
+  35,
+  36,
+  37,
+  38,
+  39,
+  40,
+  41,
+  42,
+  43,
+  44,
+  45,
+  46,
+  47
+ ],
+ "kinds": [
+  "noul",
+  "choice",
+  "score"
+ ],
+ "model_name": "jev-judge-qwen35-9b",
+ "model_version": "0.8.0",
+ "lm_head_included": true,
+ "weights_mode": "unmerged",
+ "adapter_subfolder": "adapter",
+ "lora": {
+  "r": 16,
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "target_modules": [
+   "down_proj",
+   "gate_proj",
+   "in_proj_qkv",
+   "in_proj_z",
+   "k_proj",
+   "o_proj",
+   "out_proj",
+   "q_proj",
+   "up_proj",
+   "v_proj"
+  ]
+ },
+ "trained_stage": "e16",
+ "source_checkpoint": "models/e16/S1-E19-a1-n16k-soft-syn/ckpt-16000",
+ "softcap": null,
+ "e16": {
+  "data": "data/e19/E19-a1-n16k-soft",
+  "data_manifest": {
+   "arm": "E19-a1-n16k-soft",
+   "name": null,
+   "train_sha256": "9d53433f14f467b9e3db73e759b321c632889db391925b69d276f175b0714973",
+   "n_train": 16000
+  },
+  "init": "released",
+  "objective": "s-log",
+  "sigma": 0.5,
+  "K": 8,
+  "reward": "brier",
+  "clip": 0.2,
+  "passes": 1,
+  "lr": 0.0001,
+  "lr_head": 0.0002,
+  "rows_per_step": 32,
+  "train_seed": 0,
+  "replay": "data/e16/replay/train.jsonl",
+  "replay_frac": 0.05,
+  "replay_sha256": "9dd2df19851678750cf79d2fdb47581720930ef2f0c6e18e6fbe23ef2181847e",
+  "max_len": 3072,
+  "schedule": "warmup 0.03 + cosine to x0.05 over 500 steps",
+  "total_rows": 16000,
+  "lora": {
+   "r": 16,
+   "lora_alpha": 32,
+   "lora_dropout": 0.05
+  },
+  "trainer_sha256": "bc7c08e836bd99bb2665b02903cd41404ea029ecfa9b68a9ec1a7cda96958ba4",
+  "event": "ckpt",
+  "tag": "ckpt-16000",
+  "rows_seen": 16000,
+  "replay_seen": 842,
+  "step": 500,
+  "tokens": 8943984,
+  "tok_per_s": 1333.8681055286518,
+  "rows_per_s": 2.5117449475456777,
+  "val": {
+   "n": 1200,
+   "dropped_long": 0,
+   "noul_ce": 0.5959866642951965,
+   "noul_T": 0.7678141283914748,
+   "choice_ce": 0.6801876425743103,
+   "choice_T": 1.079829269495149,
+   "score_ce": 1.0680758953094482,
+   "score_T": 0.9560367711826933,
+   "noul_auc": 0.7203797333333333,
+   "noul_acc": 0.669,
+   "noul_f1": 0.7311129163281884,
+   "noul_nll": 0.6084679865464568,
+   "noul_ece": 0.09679507276415826,
+   "noul_brier": 0.20980706972993474,
+   "noul_sharp": 0.1376621127128601,
+   "entropy": 0.6364099383354187
+  },
+  "dropped_long": 0,
+  "peak_gib": 18.282336711883545
+ }
+}

meta_only/podC/e16/S1-E19-a1-n16k-soft-syn/train_log.jsonl

@@ -0,0 +1,57 @@
+{"time": "09:23:55", "event": "start", "data": "data/e19/E19-a1-n16k-soft", "data_manifest": {"arm": "E19-a1-n16k-soft", "name": null, "train_sha256": "9d53433f14f467b9e3db73e759b321c632889db391925b69d276f175b0714973", "n_train": 16000}, "init": "released", "objective": "s-log", "sigma": 0.5, "K": 8, "reward": "brier", "clip": 0.2, "passes": 1, "lr": 0.0001, "lr_head": 0.0002, "rows_per_step": 32, "train_seed": 0, "replay": "data/e16/replay/train.jsonl", "replay_frac": 0.05, "replay_sha256": "9dd2df19851678750cf79d2fdb47581720930ef2f0c6e18e6fbe23ef2181847e", "max_len": 3072, "schedule": "warmup 0.03 + cosine to x0.05 over 500 steps", "total_rows": 16000, "lora": {"r": 16, "lora_alpha": 32, "lora_dropout": 0.05}, "trainer_sha256": "bc7c08e836bd99bb2665b02903cd41404ea029ecfa9b68a9ec1a7cda96958ba4", "device": "cuda", "load_s": 13.941081047058105}
+{"time": "09:26:03", "event": "step", "step": 10, "rows_seen": 320, "lr": 7.333333333333333e-05, "tok_per_s": 1380.0776118938127, "loss": 0.5922681726515293, "entropy": 0.6205461919307709, "sharp": 0.1665712147951126}
+{"time": "09:28:12", "event": "step", "step": 20, "rows_seen": 640, "lr": 9.997508952966197e-05, "tok_per_s": 1385.0644649921185, "loss": 0.6551412045955658, "entropy": 0.6834834516048431, "sharp": 0.055279782973229885}
+{"time": "09:30:13", "event": "step", "step": 30, "rows_seen": 960, "lr": 9.977596250541417e-05, "tok_per_s": 1394.6499311343837, "loss": 0.6455309055745602, "entropy": 0.6172864846885204, "sharp": 0.14680013712495565}
+{"time": "09:32:21", "event": "step", "step": 40, "rows_seen": 1280, "lr": 9.937854366485982e-05, "tok_per_s": 1399.9805415724932, "loss": 0.6268950253725052, "entropy": 0.6031499393284321, "sharp": 0.17359831929206848}
+{"time": "09:34:28", "event": "step", "step": 50, "rows_seen": 1600, "lr": 9.8784499920729e-05, "tok_per_s": 1406.008049551169, "loss": 0.6475449008867145, "entropy": 0.6416030935943127, "sharp": 0.13321369234472513}
+{"time": "09:36:36", "event": "step", "step": 60, "rows_seen": 1920, "lr": 9.79963228989294e-05, "tok_per_s": 1409.7357467342104, "loss": 0.5686022602021694, "entropy": 0.6365918815135956, "sharp": 0.14510185364633799}
+{"time": "09:38:40", "event": "step", "step": 70, "rows_seen": 2240, "lr": 9.701731848780134e-05, "tok_per_s": 1408.2622575735716, "loss": 0.5599682927131653, "entropy": 0.615712583065033, "sharp": 0.15303819067776203}
+{"time": "09:40:46", "event": "step", "step": 80, "rows_seen": 2560, "lr": 9.585159297207315e-05, "tok_per_s": 1410.1618297047714, "loss": 0.5952410101890564, "entropy": 0.6193703543394804, "sharp": 0.15862260200083256}
+{"time": "09:42:59", "event": "step", "step": 90, "rows_seen": 2880, "lr": 9.450403580967612e-05, "tok_per_s": 1410.688509135036, "loss": 0.6004590764641762, "entropy": 0.5935074016451836, "sharp": 0.18630303256213665}
+{"time": "09:45:05", "event": "step", "step": 100, "rows_seen": 3200, "lr": 9.298029912365855e-05, "tok_per_s": 1409.3839806053195, "loss": 0.5907018706202507, "entropy": 0.5910512059926987, "sharp": 0.19450070708990097}
+{"time": "09:45:54", "event": "val", "step": 100, "rows_seen": 3200, "n": 500, "dropped_long": 0, "noul_ce": 0.6171107292175293, "noul_T": 0.8676182895825382, "noul_auc": 0.7243422051948492, "noul_acc": 0.686, "noul_f1": 0.7352445193929174, "noul_nll": 0.6140032441467047, "noul_ece": 0.0959373495578766, "noul_brier": 0.21184864270218653, "noul_sharp": 0.14448648691177368, "entropy": 0.6324217915534973}
+{"time": "09:48:04", "event": "step", "step": 110, "rows_seen": 3520, "lr": 9.128677399521752e-05, "tok_per_s": 1360.2648585668244, "loss": 0.5950525254011154, "entropy": 0.5739554427564144, "sharp": 0.20734025724232197}
+{"time": "09:50:11", "event": "step", "step": 120, "rows_seen": 3840, "lr": 8.943056365728335e-05, "tok_per_s": 1363.6696965120843, "loss": 0.5868894979357719, "entropy": 0.6084095016121864, "sharp": 0.1617147233337164}
+{"time": "09:52:21", "event": "step", "step": 130, "rows_seen": 4160, "lr": 8.741945370109202e-05, "tok_per_s": 1366.8262387222826, "loss": 0.5969332084059715, "entropy": 0.6289769932627678, "sharp": 0.14625724963843822}
+{"time": "09:54:31", "event": "step", "step": 140, "rows_seen": 4480, "lr": 8.526187942070997e-05, "tok_per_s": 1369.5335433375537, "loss": 0.5721887610852718, "entropy": 0.5451978966593742, "sharp": 0.24201209098100662}
+{"time": "09:56:42", "event": "step", "step": 150, "rows_seen": 4800, "lr": 8.296689043247915e-05, "tok_per_s": 1371.6086942357829, "loss": 0.5870692580938339, "entropy": 0.6075425744056702, "sharp": 0.17668322287499905}
+{"time": "09:58:52", "event": "step", "step": 160, "rows_seen": 5120, "lr": 8.054411271778132e-05, "tok_per_s": 1372.9217407056033, "loss": 0.6197711229324341, "entropy": 0.6011606454849243, "sharp": 0.18225322384387255}
+{"time": "10:01:00", "event": "step", "step": 170, "rows_seen": 5440, "lr": 7.800370824832674e-05, "tok_per_s": 1374.6441806422201, "loss": 0.5780854411423206, "entropy": 0.5296993404626846, "sharp": 0.23255516961216927}
+{"time": "10:03:09", "event": "step", "step": 180, "rows_seen": 5760, "lr": 7.535633236331324e-05, "tok_per_s": 1376.595618556569, "loss": 0.5475813820958138, "entropy": 0.5684646181762218, "sharp": 0.22549526952207088}
+{"time": "10:05:16", "event": "step", "step": 190, "rows_seen": 6080, "lr": 7.26130890772308e-05, "tok_per_s": 1377.8199096969884, "loss": 0.551090233027935, "entropy": 0.5749247819185257, "sharp": 0.21519922278821468}
+{"time": "10:07:25", "event": "step", "step": 200, "rows_seen": 6400, "lr": 6.978548450576568e-05, "tok_per_s": 1379.7132701834844, "loss": 0.611091423779726, "entropy": 0.5904731340706348, "sharp": 0.1885923594236374}
+{"time": "10:08:14", "event": "val", "step": 200, "rows_seen": 6400, "n": 500, "dropped_long": 0, "noul_ce": 0.6081955432891846, "noul_T": 0.8381358670520215, "noul_auc": 0.721051121500059, "noul_acc": 0.696, "noul_f1": 0.7508196721311475, "noul_nll": 0.6035723150521517, "noul_ece": 0.07391691756248475, "noul_brier": 0.2074440242847337, "noul_sharp": 0.14990033209323883, "entropy": 0.6282627582550049}
+{"time": "10:10:17", "event": "step", "step": 210, "rows_seen": 6720, "lr": 6.688537860515266e-05, "tok_per_s": 1356.305216931948, "loss": 0.6010171882808208, "entropy": 0.5859410688281059, "sharp": 0.19159786775708199}
+{"time": "10:12:25", "event": "step", "step": 220, "rows_seen": 7040, "lr": 6.392493542739706e-05, "tok_per_s": 1358.2792346787628, "loss": 0.5971170077100396, "entropy": 0.5882998127490282, "sharp": 0.19305386301130056}
+{"time": "10:14:32", "event": "step", "step": 230, "rows_seen": 7360, "lr": 6.091657210001309e-05, "tok_per_s": 1360.6229084361755, "loss": 0.5901980604976416, "entropy": 0.5492683947086334, "sharp": 0.22800433076918125}
+{"time": "10:16:40", "event": "step", "step": 240, "rows_seen": 7680, "lr": 5.7872906744276015e-05, "tok_per_s": 1361.8366511450952, "loss": 0.5938432775437832, "entropy": 0.5780248939990997, "sharp": 0.20693093538284302}
+{"time": "10:18:50", "event": "step", "step": 250, "rows_seen": 8000, "lr": 5.48067055504363e-05, "tok_per_s": 1362.774023895086, "loss": 0.5807645246386528, "entropy": 0.5974320285022259, "sharp": 0.19250180386006832}
+{"time": "10:20:55", "event": "step", "step": 260, "rows_seen": 8320, "lr": 5.173082923188119e-05, "tok_per_s": 1364.2820884578425, "loss": 0.532882034778595, "entropy": 0.5545809008181095, "sharp": 0.22523406706750393}
+{"time": "10:22:57", "event": "step", "step": 270, "rows_seen": 8640, "lr": 4.865817908283331e-05, "tok_per_s": 1365.849130797295, "loss": 0.5368630178272724, "entropy": 0.5718533098697662, "sharp": 0.20953884720802307}
+{"time": "10:25:10", "event": "step", "step": 280, "rows_seen": 8960, "lr": 4.560164286583922e-05, "tok_per_s": 1367.7528038219564, "loss": 0.5926852002739906, "entropy": 0.6036379858851433, "sharp": 0.1739636193960905}
+{"time": "10:27:13", "event": "step", "step": 290, "rows_seen": 9280, "lr": 4.257404075601443e-05, "tok_per_s": 1369.4142478647761, "loss": 0.5908452570438385, "entropy": 0.5500972159206867, "sharp": 0.2348916195333004}
+{"time": "10:29:20", "event": "step", "step": 300, "rows_seen": 9600, "lr": 3.958807156877371e-05, "tok_per_s": 1370.6034036575065, "loss": 0.607382146641612, "entropy": 0.6286956146359444, "sharp": 0.13477696478366852}
+{"time": "10:30:10", "event": "val", "step": 300, "rows_seen": 9600, "n": 500, "dropped_long": 0, "noul_ce": 0.6017233729362488, "noul_T": 0.7260025420133723, "noul_auc": 0.7225194511485038, "noul_acc": 0.702, "noul_f1": 0.7638668779714739, "noul_nll": 0.6031174612492323, "noul_ece": 0.07422776019573214, "noul_brier": 0.20709073753939986, "noul_sharp": 0.13728228211402893, "entropy": 0.6350911259651184}
+{"time": "10:32:11", "event": "step", "step": 310, "rows_seen": 9920, "lr": 3.665625949658603e-05, "tok_per_s": 1354.9969406156256, "loss": 0.5741259306669235, "entropy": 0.5363503843545914, "sharp": 0.23738889396190643}
+{"time": "10:34:14", "event": "step", "step": 320, "rows_seen": 10240, "lr": 3.379090157815887e-05, "tok_per_s": 1356.3020948501935, "loss": 0.6510957926511765, "entropy": 0.6164843887090683, "sharp": 0.15062799025326967}
+{"time": "10:36:19", "event": "step", "step": 330, "rows_seen": 10560, "lr": 3.10040161203844e-05, "tok_per_s": 1358.025139886062, "loss": 0.5734445676207542, "entropy": 0.5390888899564743, "sharp": 0.23464616760611534}
+{"time": "10:38:30", "event": "step", "step": 340, "rows_seen": 10880, "lr": 2.8307292289383776e-05, "tok_per_s": 1359.5790358103748, "loss": 0.5879546105861664, "entropy": 0.5771510601043701, "sharp": 0.205742203630507}
+{"time": "10:40:32", "event": "step", "step": 350, "rows_seen": 11200, "lr": 2.571204108208194e-05, "tok_per_s": 1361.1579022633364, "loss": 0.6013623476028442, "entropy": 0.5618066638708115, "sharp": 0.21480564400553703}
+{"time": "10:42:45", "event": "step", "step": 360, "rows_seen": 11520, "lr": 2.322914788395595e-05, "tok_per_s": 1362.4630735890478, "loss": 0.602908480912447, "entropy": 0.5859520062804222, "sharp": 0.17402788996696472}
+{"time": "10:44:54", "event": "step", "step": 370, "rows_seen": 11840, "lr": 2.0869026811945157e-05, "tok_per_s": 1363.5823259320214, "loss": 0.5919899195432663, "entropy": 0.5875003673136234, "sharp": 0.17310797423124313}
+{"time": "10:46:56", "event": "step", "step": 380, "rows_seen": 12160, "lr": 1.8641577034025627e-05, "tok_per_s": 1364.4380392124547, "loss": 0.6368686966598034, "entropy": 0.5327657554298639, "sharp": 0.23721658252179623}
+{"time": "10:49:00", "event": "step", "step": 390, "rows_seen": 12480, "lr": 1.6556141248659472e-05, "tok_per_s": 1365.7065356540222, "loss": 0.6090514753013849, "entropy": 0.5859849555417895, "sharp": 0.20071057975292206}
+{"time": "10:51:06", "event": "step", "step": 400, "rows_seen": 12800, "lr": 1.4621466498270773e-05, "tok_per_s": 1366.7992175839765, "loss": 0.5387654537335038, "entropy": 0.5835136137902737, "sharp": 0.19442518427968025}
+{"time": "10:51:56", "event": "val", "step": 400, "rows_seen": 12800, "n": 500, "dropped_long": 0, "noul_ce": 0.6088541150093079, "noul_T": 0.69369467849466, "noul_auc": 0.7335741168925419, "noul_acc": 0.706, "noul_f1": 0.7609756097560976, "noul_nll": 0.6061588161289692, "noul_ece": 0.11095382672548294, "noul_brier": 0.2081792586015242, "noul_sharp": 0.12916460633277893, "entropy": 0.6433347463607788}
+{"time": "10:54:03", "event": "step", "step": 410, "rows_seen": 13120, "lr": 1.284566748110963e-05, "tok_per_s": 1355.2888904530985, "loss": 0.6250777877867222, "entropy": 0.5798892304301262, "sharp": 0.20354639180004597}
+{"time": "10:56:10", "event": "step", "step": 420, "rows_seen": 13440, "lr": 1.1236192515387821e-05, "tok_per_s": 1356.5973492946796, "loss": 0.617768382653594, "entropy": 0.540562504902482, "sharp": 0.232145257294178}
+{"time": "10:58:19", "event": "step", "step": 430, "rows_seen": 13760, "lr": 9.799792298443728e-06, "tok_per_s": 1357.9292629250642, "loss": 0.6162657747045159, "entropy": 0.5492677614092827, "sharp": 0.22708814591169357}
+{"time": "11:00:26", "event": "step", "step": 440, "rows_seen": 14080, "lr": 8.542491591971554e-06, "tok_per_s": 1358.5625521327777, "loss": 0.6026359237730503, "entropy": 0.5536868944764137, "sharp": 0.2335128439590335}
+{"time": "11:02:36", "event": "step", "step": 450, "rows_seen": 14400, "lr": 7.469563952077155e-06, "tok_per_s": 1359.9264647485709, "loss": 0.5601336974650621, "entropy": 0.585465719923377, "sharp": 0.19564884714782238}
+{"time": "11:04:40", "event": "step", "step": 460, "rows_seen": 14720, "lr": 6.585509610150972e-06, "tok_per_s": 1360.7487376238755, "loss": 0.5792436487972736, "entropy": 0.5811508148908615, "sharp": 0.20158975571393967}
+{"time": "11:06:44", "event": "step", "step": 470, "rows_seen": 15040, "lr": 5.894036597333646e-06, "tok_per_s": 1361.8089233626931, "loss": 0.6323299147188663, "entropy": 0.5964979585260153, "sharp": 0.1739058494567871}
+{"time": "11:08:51", "event": "step", "step": 480, "rows_seen": 15360, "lr": 5.398045191744809e-06, "tok_per_s": 1362.9952842226935, "loss": 0.5785685423761606, "entropy": 0.5763794742524624, "sharp": 0.18931421544402838}
+{"time": "11:10:58", "event": "step", "step": 490, "rows_seen": 15680, "lr": 5.099615753708697e-06, "tok_per_s": 1364.486587911119, "loss": 0.5040249191224575, "entropy": 0.5755459386855364, "sharp": 0.19868578854948282}
+{"time": "11:13:06", "event": "step", "step": 500, "rows_seen": 16000, "lr": 5e-06, "tok_per_s": 1365.3525986465897, "loss": 0.6022465480491519, "entropy": 0.5688699893653393, "sharp": 0.20927364751696587}
+{"time": "11:13:55", "event": "val", "step": 500, "rows_seen": 16000, "n": 500, "dropped_long": 0, "noul_ce": 0.6154470443725586, "noul_T": 0.8091812414759029, "noul_auc": 0.7351099559501106, "noul_acc": 0.68, "noul_f1": 0.726962457337884, "noul_nll": 0.6117603071480989, "noul_ece": 0.10939615237712862, "noul_brier": 0.21075589238104198, "noul_sharp": 0.137243390083313, "entropy": 0.6367794275283813}
+{"time": "11:15:42", "event": "ckpt", "tag": "ckpt-16000", "rows_seen": 16000, "replay_seen": 842, "step": 500, "tokens": 8943984, "tok_per_s": 1333.8681055286518, "rows_per_s": 2.5117449475456777, "val": {"n": 1200, "dropped_long": 0, "noul_ce": 0.5959866642951965, "noul_T": 0.7678141283914748, "choice_ce": 0.6801876425743103, "choice_T": 1.079829269495149, "score_ce": 1.0680758953094482, "score_T": 0.9560367711826933, "noul_auc": 0.7203797333333333, "noul_acc": 0.669, "noul_f1": 0.7311129163281884, "noul_nll": 0.6084679865464568, "noul_ece": 0.09679507276415826, "noul_brier": 0.20980706972993474, "noul_sharp": 0.1376621127128601, "entropy": 0.6364099383354187}, "dropped_long": 0, "peak_gib": 18.282336711883545}

meta_only/podC/e16/S1-E19-a1-n16k-syn/ckpt-16000/adapter/adapter_config.json

@@ -0,0 +1,57 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "Qwen3_5ForCausalLM",
+    "parent_library": "transformers.models.qwen3_5.modeling_qwen3_5"
+  },
+  "base_model_name_or_path": "/workspace/jev_kt/models/hf/JEV-9B",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "kasa_config": null,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "lora_ga_config": null,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "monteclora_config": null,
+  "peft_type": "LORA",
+  "peft_version": "0.21.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "in_proj_z",
+    "up_proj",
+    "o_proj",
+    "k_proj",
+    "down_proj",
+    "out_proj",
+    "q_proj",
+    "v_proj",
+    "gate_proj",
+    "in_proj_qkv"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_bdlora": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false,
+  "velora_config": null
+}

meta_only/podC/e16/S1-E19-a1-n16k-syn/ckpt-16000/adapter_vllm/adapter_config.json

@@ -0,0 +1,58 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "Qwen3_5ForCausalLM",
+    "parent_library": "transformers.models.qwen3_5.modeling_qwen3_5"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "kasa_config": null,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64.0,
+  "lora_bias": false,
+  "lora_dropout": 0.0,
+  "lora_ga_config": null,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "monteclora_config": null,
+  "peft_type": "LORA",
+  "peft_version": "0.21.0",
+  "qalora_group_size": 16,
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "gate_proj",
+    "in_proj_qkv",
+    "in_proj_z",
+    "k_proj",
+    "lm_head",
+    "o_proj",
+    "out_proj",
+    "q_proj",
+    "up_proj",
+    "v_proj"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_bdlora": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false,
+  "velora_config": null
+}

meta_only/podC/e16/S1-E19-a1-n16k-syn/ckpt-16000/adapter_vllm/decision_head.json

@@ -0,0 +1,99 @@
+{
+ "bias": [
+  0.0005869516753591597,
+  -0.0005872115143574774,
+  -0.0022866670042276382,
+  -0.0014944361755624413,
+  -0.0004164671408943832,
+  0.0020037987269461155,
+  0.0016292337095364928,
+  -0.0023955011274665594,
+  -0.0009124145144596696,
+  -0.0006560432375408709,
+  -0.00016946742834988981,
+  -2.4234932425315492e-05,
+  -0.0011103420983999968,
+  -0.0030296682380139828,
+  -0.00401355791836977,
+  -0.005071787163615227,
+  -0.005943118128925562,
+  -0.004329491872340441,
+  -0.004925648681819439,
+  -0.004933689255267382,
+  -0.003877796232700348,
+  -0.0033426531590521336,
+  -0.0056234258227050304,
+  -0.003458690829575062
+ ],
+ "verbalizer_ids": [
+  3721,
+  1802,
+  15,
+  16,
+  17,
+  18,
+  19,
+  20,
+  32,
+  33,
+  34,
+  35,
+  36,
+  37,
+  38,
+  39,
+  40,
+  41,
+  42,
+  43,
+  44,
+  45,
+  46,
+  47
+ ],
+ "slots": {
+  "num_slots": 24,
+  "ranges": {
+   "noul": [
+    0,
+    2
+   ],
+   "score": [
+    2,
+    8
+   ],
+   "choice": [
+    8,
+    24
+   ]
+  },
+  "verbalizers": [
+   "false",
+   "true",
+   "0",
+   "1",
+   "2",
+   "3",
+   "4",
+   "5",
+   "A",
+   "B",
+   "C",
+   "D",
+   "E",
+   "F",
+   "G",
+   "H",
+   "I",
+   "J",
+   "K",
+   "L",
+   "M",
+   "N",
+   "O",
+   "P"
+  ],
+  "template_version": "bare-v1"
+ },
+ "note": "decision logits = lm_head-LoRA logprobs of verbalizer ids + bias, then per-kind temperature"
+}

meta_only/podC/e16/S1-E19-a1-n16k-syn/ckpt-16000/calibration.json

@@ -0,0 +1,29 @@
+{
+ "version": 1,
+ "per_kind": {
+  "noul": 0.7165140194878802,
+  "choice": 0.9982098008756057,
+  "score": 0.975542094058973
+ },
+ "fit": {
+  "noul": {
+   "n": 1087,
+   "T": 0.7165140194878802,
+   "ce_before": 0.6018736958503723,
+   "ce_after": 0.595995306968689
+  },
+  "choice": {
+   "n": 60,
+   "T": 0.9982098008756057,
+   "ce_before": 0.6610618233680725,
+   "ce_after": 0.6610606908798218
+  },
+  "score": {
+   "n": 53,
+   "T": 0.975542094058973,
+   "ce_before": 1.0467227697372437,
+   "ce_after": 1.0465413331985474
+  }
+ },
+ "source": "models/e16/S1-E19-a1-n16k-syn/ckpt-16000"
+}

meta_only/podC/e16/S1-E19-a1-n16k-syn/ckpt-16000/judge_config.json

@@ -0,0 +1,164 @@
+{
+ "base_model_path": "/root/models/Qwen3.5-9B",
+ "hidden_size": 4096,
+ "slots": {
+  "num_slots": 24,
+  "ranges": {
+   "noul": [
+    0,
+    2
+   ],
+   "score": [
+    2,
+    8
+   ],
+   "choice": [
+    8,
+    24
+   ]
+  },
+  "verbalizers": [
+   "false",
+   "true",
+   "0",
+   "1",
+   "2",
+   "3",
+   "4",
+   "5",
+   "A",
+   "B",
+   "C",
+   "D",
+   "E",
+   "F",
+   "G",
+   "H",
+   "I",
+   "J",
+   "K",
+   "L",
+   "M",
+   "N",
+   "O",
+   "P"
+  ],
+  "template_version": "bare-v1"
+ },
+ "verbalizer_ids": [
+  3721,
+  1802,
+  15,
+  16,
+  17,
+  18,
+  19,
+  20,
+  32,
+  33,
+  34,
+  35,
+  36,
+  37,
+  38,
+  39,
+  40,
+  41,
+  42,
+  43,
+  44,
+  45,
+  46,
+  47
+ ],
+ "kinds": [
+  "noul",
+  "choice",
+  "score"
+ ],
+ "model_name": "jev-judge-qwen35-9b",
+ "model_version": "0.8.0",
+ "lm_head_included": true,
+ "weights_mode": "unmerged",
+ "adapter_subfolder": "adapter",
+ "lora": {
+  "r": 16,
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "target_modules": [
+   "down_proj",
+   "gate_proj",
+   "in_proj_qkv",
+   "in_proj_z",
+   "k_proj",
+   "o_proj",
+   "out_proj",
+   "q_proj",
+   "up_proj",
+   "v_proj"
+  ]
+ },
+ "trained_stage": "e16",
+ "source_checkpoint": "models/e16/S1-E19-a1-n16k-syn/ckpt-16000",
+ "softcap": null,
+ "e16": {
+  "data": "data/e19/E19-a1-n16k",
+  "data_manifest": {
+   "arm": "E19-a1-n16k",
+   "name": null,
+   "train_sha256": "94deb2a569bb4fde199043b0a00b31485445643443374b8929f0c5964354d650",
+   "n_train": 16000
+  },
+  "init": "released",
+  "objective": "s-log",
+  "sigma": 0.5,
+  "K": 8,
+  "reward": "brier",
+  "clip": 0.2,
+  "passes": 1,
+  "lr": 0.0001,
+  "lr_head": 0.0002,
+  "rows_per_step": 32,
+  "train_seed": 0,
+  "replay": "data/e16/replay/train.jsonl",
+  "replay_frac": 0.05,
+  "replay_sha256": "9dd2df19851678750cf79d2fdb47581720930ef2f0c6e18e6fbe23ef2181847e",
+  "max_len": 3072,
+  "schedule": "warmup 0.03 + cosine to x0.05 over 500 steps",
+  "total_rows": 16000,
+  "lora": {
+   "r": 16,
+   "lora_alpha": 32,
+   "lora_dropout": 0.05
+  },
+  "trainer_sha256": "bc7c08e836bd99bb2665b02903cd41404ea029ecfa9b68a9ec1a7cda96958ba4",
+  "event": "ckpt",
+  "tag": "ckpt-16000",
+  "rows_seen": 16000,
+  "replay_seen": 842,
+  "step": 500,
+  "tokens": 8943984,
+  "tok_per_s": 1334.0251536838632,
+  "rows_per_s": 2.5120406776171564,
+  "val": {
+   "n": 1200,
+   "dropped_long": 0,
+   "noul_ce": 0.6018736958503723,
+   "noul_T": 0.7165140194878802,
+   "choice_ce": 0.6610618233680725,
+   "choice_T": 0.9982098008756057,
+   "score_ce": 1.0467227697372437,
+   "score_T": 0.975542094058973,
+   "noul_auc": 0.7250176,
+   "noul_acc": 0.679,
+   "noul_f1": 0.7375306623058054,
+   "noul_nll": 0.6145058214738965,
+   "noul_ece": 0.11563834969699383,
+   "noul_brier": 0.21233727298038133,
+   "noul_sharp": 0.12655772268772125,
+   "entropy": 0.6454315185546875
+  },
+  "dropped_long": 0,
+  "peak_gib": 18.282336711883545
+ }
+}

meta_only/podC/e16/S1-E19-a1-n16k-syn/train_log.jsonl

@@ -0,0 +1,57 @@
+{"time": "16:04:56", "event": "start", "data": "data/e19/E19-a1-n16k", "data_manifest": {"arm": "E19-a1-n16k", "name": null, "train_sha256": "94deb2a569bb4fde199043b0a00b31485445643443374b8929f0c5964354d650", "n_train": 16000}, "init": "released", "objective": "s-log", "sigma": 0.5, "K": 8, "reward": "brier", "clip": 0.2, "passes": 1, "lr": 0.0001, "lr_head": 0.0002, "rows_per_step": 32, "train_seed": 0, "replay": "data/e16/replay/train.jsonl", "replay_frac": 0.05, "replay_sha256": "9dd2df19851678750cf79d2fdb47581720930ef2f0c6e18e6fbe23ef2181847e", "max_len": 3072, "schedule": "warmup 0.03 + cosine to x0.05 over 500 steps", "total_rows": 16000, "lora": {"r": 16, "lora_alpha": 32, "lora_dropout": 0.05}, "trainer_sha256": "bc7c08e836bd99bb2665b02903cd41404ea029ecfa9b68a9ec1a7cda96958ba4", "device": "cuda", "load_s": 38.510061502456665}
+{"time": "16:07:05", "event": "step", "step": 10, "rows_seen": 320, "lr": 7.333333333333333e-05, "tok_per_s": 1374.445776734991, "loss": 0.5894528701901436, "entropy": 0.5937902256846428, "sharp": 0.18946991488337517}
+{"time": "16:09:13", "event": "step", "step": 20, "rows_seen": 640, "lr": 9.997508952966197e-05, "tok_per_s": 1383.999404388402, "loss": 0.6630470678210258, "entropy": 0.686090737581253, "sharp": 0.045880140736699104}
+{"time": "16:11:15", "event": "step", "step": 30, "rows_seen": 960, "lr": 9.977596250541417e-05, "tok_per_s": 1390.7759071744847, "loss": 0.6714256554841995, "entropy": 0.6418785192072392, "sharp": 0.12697846814990044}
+{"time": "16:13:23", "event": "step", "step": 40, "rows_seen": 1280, "lr": 9.937854366485982e-05, "tok_per_s": 1396.903156224518, "loss": 0.6202242523431778, "entropy": 0.6248056478798389, "sharp": 0.1507299840450287}
+{"time": "16:15:30", "event": "step", "step": 50, "rows_seen": 1600, "lr": 9.8784499920729e-05, "tok_per_s": 1402.8727371881048, "loss": 0.717506904155016, "entropy": 0.6036138031631708, "sharp": 0.16964995954185724}
+{"time": "16:17:38", "event": "step", "step": 60, "rows_seen": 1920, "lr": 9.79963228989294e-05, "tok_per_s": 1406.9042899210401, "loss": 0.5931288786232471, "entropy": 0.5965085830539465, "sharp": 0.2026488808915019}
+{"time": "16:19:42", "event": "step", "step": 70, "rows_seen": 2240, "lr": 9.701731848780134e-05, "tok_per_s": 1406.5924287719827, "loss": 0.5671395361423492, "entropy": 0.5137825161218643, "sharp": 0.22797769866883755}
+{"time": "16:21:48", "event": "step", "step": 80, "rows_seen": 2560, "lr": 9.585159297207315e-05, "tok_per_s": 1408.731204405859, "loss": 0.5666338037699461, "entropy": 0.6216479167342186, "sharp": 0.16055579856038094}
+{"time": "16:24:00", "event": "step", "step": 90, "rows_seen": 2880, "lr": 9.450403580967612e-05, "tok_per_s": 1409.3956829630756, "loss": 0.6159633249044418, "entropy": 0.6015071198344231, "sharp": 0.17626826371997595}
+{"time": "16:26:06", "event": "step", "step": 100, "rows_seen": 3200, "lr": 9.298029912365855e-05, "tok_per_s": 1408.3738688993935, "loss": 0.6239716857671738, "entropy": 0.5428463891148567, "sharp": 0.23707836121320724}
+{"time": "16:26:56", "event": "val", "step": 100, "rows_seen": 3200, "n": 500, "dropped_long": 0, "noul_ce": 0.6127307415008545, "noul_T": 1.050038395453534, "noul_auc": 0.7424684815446152, "noul_acc": 0.716, "noul_f1": 0.7649006622516556, "noul_nll": 0.5970428180769086, "noul_ece": 0.09420883107185365, "noul_brier": 0.20361535893971489, "noul_sharp": 0.17640842497348785, "entropy": 0.6058894991874695}
+{"time": "16:29:05", "event": "step", "step": 110, "rows_seen": 3520, "lr": 9.128677399521752e-05, "tok_per_s": 1359.7259101956877, "loss": 0.617665734142065, "entropy": 0.6357395276427269, "sharp": 0.14056185260415077}
+{"time": "16:31:12", "event": "step", "step": 120, "rows_seen": 3840, "lr": 8.943056365728335e-05, "tok_per_s": 1363.8522251379181, "loss": 0.608349084854126, "entropy": 0.6114343702793121, "sharp": 0.16737612336874008}
+{"time": "16:33:22", "event": "step", "step": 130, "rows_seen": 4160, "lr": 8.741945370109202e-05, "tok_per_s": 1366.8938928890286, "loss": 0.5854871347546577, "entropy": 0.5978900045156479, "sharp": 0.1778324507176876}
+{"time": "16:35:32", "event": "step", "step": 140, "rows_seen": 4480, "lr": 8.526187942070997e-05, "tok_per_s": 1369.9108626575314, "loss": 0.5921216420829296, "entropy": 0.5538565665483475, "sharp": 0.22439521551132202}
+{"time": "16:37:42", "event": "step", "step": 150, "rows_seen": 4800, "lr": 8.296689043247915e-05, "tok_per_s": 1371.669530199861, "loss": 0.599189430475235, "entropy": 0.5978486388921738, "sharp": 0.1882893219590187}
+{"time": "16:39:52", "event": "step", "step": 160, "rows_seen": 5120, "lr": 8.054411271778132e-05, "tok_per_s": 1373.6027619428512, "loss": 0.5897804088890553, "entropy": 0.5467528104782104, "sharp": 0.23579085618257523}
+{"time": "16:41:59", "event": "step", "step": 170, "rows_seen": 5440, "lr": 7.800370824832674e-05, "tok_per_s": 1375.6690154070327, "loss": 0.5995448790490627, "entropy": 0.5097590684890747, "sharp": 0.2549644969403744}
+{"time": "16:44:08", "event": "step", "step": 180, "rows_seen": 5760, "lr": 7.535633236331324e-05, "tok_per_s": 1377.4018545468443, "loss": 0.5739674903452396, "entropy": 0.6561602614820004, "sharp": 0.110089804045856}
+{"time": "16:46:14", "event": "step", "step": 190, "rows_seen": 6080, "lr": 7.26130890772308e-05, "tok_per_s": 1379.0626148623085, "loss": 0.5150295272469521, "entropy": 0.5355289578437805, "sharp": 0.2591044958680868}
+{"time": "16:48:24", "event": "step", "step": 200, "rows_seen": 6400, "lr": 6.978548450576568e-05, "tok_per_s": 1380.468366106815, "loss": 0.6069918796420097, "entropy": 0.5798355713486671, "sharp": 0.1979511696845293}
+{"time": "16:49:14", "event": "val", "step": 200, "rows_seen": 6400, "n": 500, "dropped_long": 0, "noul_ce": 0.6257078051567078, "noul_T": 0.7761901900270453, "noul_auc": 0.7168655381343775, "noul_acc": 0.686, "noul_f1": 0.7352445193929174, "noul_nll": 0.6206025581359863, "noul_ece": 0.10687076276540758, "noul_brier": 0.2150500396336538, "noul_sharp": 0.12506653368473053, "entropy": 0.6474318504333496}
+{"time": "16:51:17", "event": "step", "step": 210, "rows_seen": 6720, "lr": 6.688537860515266e-05, "tok_per_s": 1357.0013603593704, "loss": 0.5957151856273413, "entropy": 0.6102973762899637, "sharp": 0.16263651940971613}
+{"time": "16:53:24", "event": "step", "step": 220, "rows_seen": 7040, "lr": 6.392493542739706e-05, "tok_per_s": 1359.1661678210482, "loss": 0.7029455406591296, "entropy": 0.5269846301525831, "sharp": 0.25412968918681145}
+{"time": "16:55:31", "event": "step", "step": 230, "rows_seen": 7360, "lr": 6.091657210001309e-05, "tok_per_s": 1361.3794453814544, "loss": 0.5850671268999577, "entropy": 0.5899124145507812, "sharp": 0.18455550633370876}
+{"time": "16:57:39", "event": "step", "step": 240, "rows_seen": 7680, "lr": 5.7872906744276015e-05, "tok_per_s": 1362.6280054212336, "loss": 0.5705398228019476, "entropy": 0.5806206539273262, "sharp": 0.2050224905833602}
+{"time": "16:59:49", "event": "step", "step": 250, "rows_seen": 8000, "lr": 5.48067055504363e-05, "tok_per_s": 1363.633755568349, "loss": 0.5939325578510761, "entropy": 0.5893343649804592, "sharp": 0.18465151637792587}
+{"time": "17:01:54", "event": "step", "step": 260, "rows_seen": 8320, "lr": 5.173082923188119e-05, "tok_per_s": 1364.9857594789714, "loss": 0.5891148196533322, "entropy": 0.4798310212790966, "sharp": 0.2826279103755951}
+{"time": "17:03:57", "event": "step", "step": 270, "rows_seen": 8640, "lr": 4.865817908283331e-05, "tok_per_s": 1366.1542407712072, "loss": 0.556699562817812, "entropy": 0.6176729314029217, "sharp": 0.1610739268362522}
+{"time": "17:06:10", "event": "step", "step": 280, "rows_seen": 8960, "lr": 4.560164286583922e-05, "tok_per_s": 1368.022880365481, "loss": 0.5985889285802841, "entropy": 0.5736552737653255, "sharp": 0.21163435466587543}
+{"time": "17:08:13", "event": "step", "step": 290, "rows_seen": 9280, "lr": 4.257404075601443e-05, "tok_per_s": 1369.54864378755, "loss": 0.594834566116333, "entropy": 0.5683047100901604, "sharp": 0.21070453897118568}
+{"time": "17:10:21", "event": "step", "step": 300, "rows_seen": 9600, "lr": 3.958807156877371e-05, "tok_per_s": 1370.543190383375, "loss": 0.6264110887423158, "entropy": 0.6329453829675913, "sharp": 0.13096008636057377}
+{"time": "17:11:10", "event": "val", "step": 300, "rows_seen": 9600, "n": 500, "dropped_long": 0, "noul_ce": 0.6061652898788452, "noul_T": 0.582557409009522, "noul_auc": 0.7328821454490221, "noul_acc": 0.73, "noul_f1": 0.7926267281105991, "noul_nll": 0.6048320997953415, "noul_ece": 0.111665088057518, "noul_brier": 0.20741267600645136, "noul_sharp": 0.11882870644330978, "entropy": 0.6519232988357544}
+{"time": "17:13:12", "event": "step", "step": 310, "rows_seen": 9920, "lr": 3.665625949658603e-05, "tok_per_s": 1355.0180398327484, "loss": 0.6144509315490723, "entropy": 0.5384475812315941, "sharp": 0.23700352758169174}
+{"time": "17:15:14", "event": "step", "step": 320, "rows_seen": 10240, "lr": 3.379090157815887e-05, "tok_per_s": 1356.3905226318775, "loss": 0.6402536854147911, "entropy": 0.6074963808059692, "sharp": 0.16243215464055538}
+{"time": "17:17:19", "event": "step", "step": 330, "rows_seen": 10560, "lr": 3.10040161203844e-05, "tok_per_s": 1358.216564382586, "loss": 0.5855847615748644, "entropy": 0.5735834762454033, "sharp": 0.20171110332012177}
+{"time": "17:19:29", "event": "step", "step": 340, "rows_seen": 10880, "lr": 2.8307292289383776e-05, "tok_per_s": 1359.9163479300003, "loss": 0.6106481626629829, "entropy": 0.5512680895626545, "sharp": 0.23314786329865456}
+{"time": "17:21:31", "event": "step", "step": 350, "rows_seen": 11200, "lr": 2.571204108208194e-05, "tok_per_s": 1361.490936167625, "loss": 0.5770780220627785, "entropy": 0.5819186232984066, "sharp": 0.19763756543397903}
+{"time": "17:23:44", "event": "step", "step": 360, "rows_seen": 11520, "lr": 2.322914788395595e-05, "tok_per_s": 1362.9299558798662, "loss": 0.5754741467535496, "entropy": 0.5827315896749496, "sharp": 0.17829842306673527}
+{"time": "17:25:53", "event": "step", "step": 370, "rows_seen": 11840, "lr": 2.0869026811945157e-05, "tok_per_s": 1364.1941648642926, "loss": 0.5655084624886513, "entropy": 0.5631445050239563, "sharp": 0.20382109470665455}
+{"time": "17:27:55", "event": "step", "step": 380, "rows_seen": 12160, "lr": 1.8641577034025627e-05, "tok_per_s": 1365.0354387743164, "loss": 0.6054229810833931, "entropy": 0.5298454724252224, "sharp": 0.2401592656970024}
+{"time": "17:29:59", "event": "step", "step": 390, "rows_seen": 12480, "lr": 1.6556141248659472e-05, "tok_per_s": 1366.1861673148828, "loss": 0.547071373090148, "entropy": 0.5777220018208027, "sharp": 0.2093566721305251}
+{"time": "17:32:05", "event": "step", "step": 400, "rows_seen": 12800, "lr": 1.4621466498270773e-05, "tok_per_s": 1367.2013093374098, "loss": 0.5518248500302434, "entropy": 0.5341387614607811, "sharp": 0.24700079672038555}
+{"time": "17:32:55", "event": "val", "step": 400, "rows_seen": 12800, "n": 500, "dropped_long": 0, "noul_ce": 0.6306027770042419, "noul_T": 0.8741883294044412, "noul_auc": 0.7416583686351286, "noul_acc": 0.688, "noul_f1": 0.7243816254416962, "noul_nll": 0.6249635870307684, "noul_ece": 0.14105892568826678, "noul_brier": 0.21660759383205885, "noul_sharp": 0.1276291459798813, "entropy": 0.6425718069076538}
+{"time": "17:35:03", "event": "step", "step": 410, "rows_seen": 13120, "lr": 1.284566748110963e-05, "tok_per_s": 1355.498327404912, "loss": 0.612746462225914, "entropy": 0.5846096053719521, "sharp": 0.19724525604397058}
+{"time": "17:37:10", "event": "step", "step": 420, "rows_seen": 13440, "lr": 1.1236192515387821e-05, "tok_per_s": 1356.7501614628918, "loss": 0.628617525100708, "entropy": 0.5640982612967491, "sharp": 0.2114875577390194}
+{"time": "17:39:19", "event": "step", "step": 430, "rows_seen": 13760, "lr": 9.799792298443728e-06, "tok_per_s": 1358.0010970477995, "loss": 0.5792068475857377, "entropy": 0.5696650762110949, "sharp": 0.2100564381107688}
+{"time": "17:41:27", "event": "step", "step": 440, "rows_seen": 14080, "lr": 8.542491591971554e-06, "tok_per_s": 1358.4721125836043, "loss": 0.6050501186400652, "entropy": 0.5546776540577412, "sharp": 0.23682977631688118}
+{"time": "17:43:37", "event": "step", "step": 450, "rows_seen": 14400, "lr": 7.469563952077155e-06, "tok_per_s": 1359.7389578207128, "loss": 0.5351272039115429, "entropy": 0.591396301984787, "sharp": 0.19170596823096275}
+{"time": "17:45:42", "event": "step", "step": 460, "rows_seen": 14720, "lr": 6.585509610150972e-06, "tok_per_s": 1360.6124810325825, "loss": 0.5748589336872101, "entropy": 0.5918786190450191, "sharp": 0.1935818213969469}
+{"time": "17:47:44", "event": "step", "step": 470, "rows_seen": 15040, "lr": 5.894036597333646e-06, "tok_per_s": 1361.7712649336986, "loss": 0.6847153194248676, "entropy": 0.5827504098415375, "sharp": 0.19261357933282852}
+{"time": "17:49:51", "event": "step", "step": 480, "rows_seen": 15360, "lr": 5.398045191744809e-06, "tok_per_s": 1362.9699886724748, "loss": 0.5853373669087887, "entropy": 0.5599395371973515, "sharp": 0.2070944607257843}
+{"time": "17:51:58", "event": "step", "step": 490, "rows_seen": 15680, "lr": 5.099615753708697e-06, "tok_per_s": 1364.5256305752216, "loss": 0.4776861257851124, "entropy": 0.5757564418017864, "sharp": 0.19833420403301716}
+{"time": "17:54:07", "event": "step", "step": 500, "rows_seen": 16000, "lr": 5e-06, "tok_per_s": 1365.396017897518, "loss": 0.5806671371683478, "entropy": 0.5721019525080919, "sharp": 0.20455056615173817}
+{"time": "17:54:56", "event": "val", "step": 500, "rows_seen": 16000, "n": 500, "dropped_long": 0, "noul_ce": 0.6203728914260864, "noul_T": 0.7703677092070824, "noul_auc": 0.7432954718063829, "noul_acc": 0.696, "noul_f1": 0.738831615120275, "noul_nll": 0.614476999565959, "noul_ece": 0.12449502754211426, "noul_brier": 0.21188345752348817, "noul_sharp": 0.1286044865846634, "entropy": 0.6439686417579651}
+{"time": "17:56:42", "event": "ckpt", "tag": "ckpt-16000", "rows_seen": 16000, "replay_seen": 842, "step": 500, "tokens": 8943984, "tok_per_s": 1334.0251536838632, "rows_per_s": 2.5120406776171564, "val": {"n": 1200, "dropped_long": 0, "noul_ce": 0.6018736958503723, "noul_T": 0.7165140194878802, "choice_ce": 0.6610618233680725, "choice_T": 0.9982098008756057, "score_ce": 1.0467227697372437, "score_T": 0.975542094058973, "noul_auc": 0.7250176, "noul_acc": 0.679, "noul_f1": 0.7375306623058054, "noul_nll": 0.6145058214738965, "noul_ece": 0.11563834969699383, "noul_brier": 0.21233727298038133, "noul_sharp": 0.12655772268772125, "entropy": 0.6454315185546875}, "dropped_long": 0, "peak_gib": 18.282336711883545}

meta_only/podC/e16/S1-E19-a1-n4k-syn/ckpt-4000/adapter/adapter_config.json

@@ -0,0 +1,57 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "Qwen3_5ForCausalLM",
+    "parent_library": "transformers.models.qwen3_5.modeling_qwen3_5"
+  },
+  "base_model_name_or_path": "/workspace/jev_kt/models/hf/JEV-9B",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "kasa_config": null,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "lora_ga_config": null,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "monteclora_config": null,
+  "peft_type": "LORA",
+  "peft_version": "0.21.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "in_proj_qkv",
+    "up_proj",
+    "o_proj",
+    "gate_proj",
+    "out_proj",
+    "q_proj",
+    "in_proj_z",
+    "down_proj",
+    "k_proj"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_bdlora": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false,
+  "velora_config": null
+}

meta_only/podC/e16/S1-E19-a1-n4k-syn/ckpt-4000/adapter_vllm/adapter_config.json

@@ -0,0 +1,58 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "Qwen3_5ForCausalLM",
+    "parent_library": "transformers.models.qwen3_5.modeling_qwen3_5"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "kasa_config": null,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64.0,
+  "lora_bias": false,
+  "lora_dropout": 0.0,
+  "lora_ga_config": null,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "monteclora_config": null,
+  "peft_type": "LORA",
+  "peft_version": "0.21.0",
+  "qalora_group_size": 16,
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "gate_proj",
+    "in_proj_qkv",
+    "in_proj_z",
+    "k_proj",
+    "lm_head",
+    "o_proj",
+    "out_proj",
+    "q_proj",
+    "up_proj",
+    "v_proj"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_bdlora": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false,
+  "velora_config": null
+}

meta_only/podC/e16/S1-E19-a1-n4k-syn/ckpt-4000/adapter_vllm/decision_head.json

@@ -0,0 +1,99 @@
+{
+ "bias": [
+  0.00039741769433021545,
+  -0.00039766670670360327,
+  -0.0028938825707882643,
+  -0.0011861760867759585,
+  -0.0003184292872902006,
+  0.002014103578403592,
+  0.0012481184676289558,
+  -0.0023298251908272505,
+  -0.0008974922820925713,
+  -0.0004757616261485964,
+  -0.0005738963955081999,
+  -0.00016064834198914468,
+  7.309365173568949e-05,
+  -0.0015822419663891196,
+  -0.002985483966767788,
+  -0.005063261371105909,
+  -0.005933448672294617,
+  -0.004322174470871687,
+  -0.004923889879137278,
+  -0.004915980156511068,
+  -0.003966952208429575,
+  -0.0033300044015049934,
+  -0.005583393853157759,
+  -0.003452436299994588
+ ],
+ "verbalizer_ids": [
+  3721,
+  1802,
+  15,
+  16,
+  17,
+  18,
+  19,
+  20,
+  32,
+  33,
+  34,
+  35,
+  36,
+  37,
+  38,
+  39,
+  40,
+  41,
+  42,
+  43,
+  44,
+  45,
+  46,
+  47
+ ],
+ "slots": {
+  "num_slots": 24,
+  "ranges": {
+   "noul": [
+    0,
+    2
+   ],
+   "score": [
+    2,
+    8
+   ],
+   "choice": [
+    8,
+    24
+   ]
+  },
+  "verbalizers": [
+   "false",
+   "true",
+   "0",
+   "1",
+   "2",
+   "3",
+   "4",
+   "5",
+   "A",
+   "B",
+   "C",
+   "D",
+   "E",
+   "F",
+   "G",
+   "H",
+   "I",
+   "J",
+   "K",
+   "L",
+   "M",
+   "N",
+   "O",
+   "P"
+  ],
+  "template_version": "bare-v1"
+ },
+ "note": "decision logits = lm_head-LoRA logprobs of verbalizer ids + bias, then per-kind temperature"
+}

meta_only/podC/e16/S1-E19-a1-n4k-syn/ckpt-4000/calibration.json

@@ -0,0 +1,29 @@
+{
+ "version": 1,
+ "per_kind": {
+  "noul": 0.8263435030077487,
+  "choice": 1.0136780131858079,
+  "score": 0.9922651894318586
+ },
+ "fit": {
+  "noul": {
+   "n": 1087,
+   "T": 0.8263435030077487,
+   "ce_before": 0.5827034711837769,
+   "ce_after": 0.5801888108253479
+  },
+  "choice": {
+   "n": 60,
+   "T": 1.0136780131858079,
+   "ce_before": 0.6594568490982056,
+   "ce_after": 0.6594187617301941
+  },
+  "score": {
+   "n": 53,
+   "T": 0.9922651894318586,
+   "ce_before": 1.0438287258148193,
+   "ce_after": 1.0438071489334106
+  }
+ },
+ "source": "models/e16/S1-E19-a1-n4k-syn/ckpt-4000"
+}

meta_only/podC/e16/S1-E19-a1-n4k-syn/ckpt-4000/judge_config.json

@@ -0,0 +1,164 @@
+{
+ "base_model_path": "/root/models/Qwen3.5-9B",
+ "hidden_size": 4096,
+ "slots": {
+  "num_slots": 24,
+  "ranges": {
+   "noul": [
+    0,
+    2
+   ],
+   "score": [
+    2,
+    8
+   ],
+   "choice": [
+    8,
+    24
+   ]
+  },
+  "verbalizers": [
+   "false",
+   "true",
+   "0",
+   "1",
+   "2",
+   "3",
+   "4",
+   "5",
+   "A",
+   "B",
+   "C",
+   "D",
+   "E",
+   "F",
+   "G",
+   "H",
+   "I",
+   "J",
+   "K",
+   "L",
+   "M",
+   "N",
+   "O",
+   "P"
+  ],
+  "template_version": "bare-v1"
+ },
+ "verbalizer_ids": [
+  3721,
+  1802,
+  15,
+  16,
+  17,
+  18,
+  19,
+  20,
+  32,
+  33,
+  34,
+  35,
+  36,
+  37,
+  38,
+  39,
+  40,
+  41,
+  42,
+  43,
+  44,
+  45,
+  46,
+  47
+ ],
+ "kinds": [
+  "noul",
+  "choice",
+  "score"
+ ],
+ "model_name": "jev-judge-qwen35-9b",
+ "model_version": "0.8.0",
+ "lm_head_included": true,
+ "weights_mode": "unmerged",
+ "adapter_subfolder": "adapter",
+ "lora": {
+  "r": 16,
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "target_modules": [
+   "down_proj",
+   "gate_proj",
+   "in_proj_qkv",
+   "in_proj_z",
+   "k_proj",
+   "o_proj",
+   "out_proj",
+   "q_proj",
+   "up_proj",
+   "v_proj"
+  ]
+ },
+ "trained_stage": "e16",
+ "source_checkpoint": "models/e16/S1-E19-a1-n4k-syn/ckpt-4000",
+ "softcap": null,
+ "e16": {
+  "data": "data/e19/E19-a1-n4k",
+  "data_manifest": {
+   "arm": "E19-a1-n4k",
+   "name": null,
+   "train_sha256": "540534e9352daba3754b72460de1f42981ad4c6db082881ea9cd06bde41ec64f",
+   "n_train": 4000
+  },
+  "init": "released",
+  "objective": "s-log",
+  "sigma": 0.5,
+  "K": 8,
+  "reward": "brier",
+  "clip": 0.2,
+  "passes": 1,
+  "lr": 0.0001,
+  "lr_head": 0.0002,
+  "rows_per_step": 32,
+  "train_seed": 0,
+  "replay": "data/e16/replay/train.jsonl",
+  "replay_frac": 0.05,
+  "replay_sha256": "9dd2df19851678750cf79d2fdb47581720930ef2f0c6e18e6fbe23ef2181847e",
+  "max_len": 3072,
+  "schedule": "warmup 0.03 + cosine to x0.05 over 125 steps",
+  "total_rows": 4000,
+  "lora": {
+   "r": 16,
+   "lora_alpha": 32,
+   "lora_dropout": 0.05
+  },
+  "trainer_sha256": "bc7c08e836bd99bb2665b02903cd41404ea029ecfa9b68a9ec1a7cda96958ba4",
+  "event": "ckpt",
+  "tag": "ckpt-4000",
+  "rows_seen": 4000,
+  "replay_seen": 210,
+  "step": 125,
+  "tokens": 2241889,
+  "tok_per_s": 1281.9845794437344,
+  "rows_per_s": 2.407414048736292,
+  "val": {
+   "n": 1200,
+   "dropped_long": 0,
+   "noul_ce": 0.5827034711837769,
+   "noul_T": 0.8263435030077487,
+   "choice_ce": 0.6594568490982056,
+   "choice_T": 1.0136780131858079,
+   "score_ce": 1.0438287258148193,
+   "score_T": 0.9922651894318586,
+   "noul_auc": 0.7284266666666668,
+   "noul_acc": 0.682,
+   "noul_f1": 0.7423014586709886,
+   "noul_nll": 0.5932419957146049,
+   "noul_ece": 0.06937307044863701,
+   "noul_brier": 0.20364886409521044,
+   "noul_sharp": 0.157422736287117,
+   "entropy": 0.6182610988616943
+  },
+  "dropped_long": 0,
+  "peak_gib": 18.282336711883545
+ }
+}

meta_only/podC/e16/S1-E19-a1-n4k-syn/train_log.jsonl

@@ -0,0 +1,15 @@
+{"time": "10:05:02", "event": "start", "data": "data/e19/E19-a1-n4k", "data_manifest": {"arm": "E19-a1-n4k", "name": null, "train_sha256": "540534e9352daba3754b72460de1f42981ad4c6db082881ea9cd06bde41ec64f", "n_train": 4000}, "init": "released", "objective": "s-log", "sigma": 0.5, "K": 8, "reward": "brier", "clip": 0.2, "passes": 1, "lr": 0.0001, "lr_head": 0.0002, "rows_per_step": 32, "train_seed": 0, "replay": "data/e16/replay/train.jsonl", "replay_frac": 0.05, "replay_sha256": "9dd2df19851678750cf79d2fdb47581720930ef2f0c6e18e6fbe23ef2181847e", "max_len": 3072, "schedule": "warmup 0.03 + cosine to x0.05 over 125 steps", "total_rows": 4000, "lora": {"r": 16, "lora_alpha": 32, "lora_dropout": 0.05}, "trainer_sha256": "bc7c08e836bd99bb2665b02903cd41404ea029ecfa9b68a9ec1a7cda96958ba4", "device": "cuda", "load_s": 13.097421884536743}
+{"time": "10:07:11", "event": "step", "step": 10, "rows_seen": 320, "lr": 9.923040269974204e-05, "tok_per_s": 1373.074074065633, "loss": 0.6184831075370312, "entropy": 0.6636004969477654, "sharp": 0.107638587243855}
+{"time": "10:09:19", "event": "step", "step": 20, "rows_seen": 640, "lr": 9.55208574963224e-05, "tok_per_s": 1383.1638571859442, "loss": 0.6337518393993378, "entropy": 0.6607866808772087, "sharp": 0.11071337759494781}
+{"time": "10:11:22", "event": "step", "step": 30, "rows_seen": 960, "lr": 8.897432118673851e-05, "tok_per_s": 1390.2972741295616, "loss": 0.667584627866745, "entropy": 0.6264320686459541, "sharp": 0.13228601031005383}
+{"time": "10:13:30", "event": "step", "step": 40, "rows_seen": 1280, "lr": 8.002250216471678e-05, "tok_per_s": 1396.2238098938278, "loss": 0.6139045059680939, "entropy": 0.6092486158013344, "sharp": 0.1605532132089138}
+{"time": "10:15:36", "event": "step", "step": 50, "rows_seen": 1600, "lr": 6.925572411108201e-05, "tok_per_s": 1402.268630441109, "loss": 0.7492388337850571, "entropy": 0.5749523751437664, "sharp": 0.21325839310884476}
+{"time": "10:17:45", "event": "step", "step": 60, "rows_seen": 1920, "lr": 5.738399736402462e-05, "tok_per_s": 1406.4064339498486, "loss": 0.5927707403898239, "entropy": 0.6261010691523552, "sharp": 0.15189047809690237}
+{"time": "10:19:49", "event": "step", "step": 70, "rows_seen": 2240, "lr": 4.519019760655705e-05, "tok_per_s": 1405.7778740559124, "loss": 0.5610260665416718, "entropy": 0.5437574833631516, "sharp": 0.20663071051239967}
+{"time": "10:21:56", "event": "step", "step": 80, "rows_seen": 2560, "lr": 3.3478439481564835e-05, "tok_per_s": 1406.5150111957087, "loss": 0.5592523384839296, "entropy": 0.606365405023098, "sharp": 0.17425273265689611}
+{"time": "10:24:08", "event": "step", "step": 90, "rows_seen": 2880, "lr": 2.3021049613197416e-05, "tok_per_s": 1407.5278001962427, "loss": 0.6026091650128365, "entropy": 0.6202864572405815, "sharp": 0.15475847385823727}
+{"time": "10:26:14", "event": "step", "step": 100, "rows_seen": 3200, "lr": 1.4507635874863332e-05, "tok_per_s": 1406.840595215435, "loss": 0.6052468121051788, "entropy": 0.5772884786128998, "sharp": 0.2093072347342968}
+{"time": "10:27:04", "event": "val", "step": 100, "rows_seen": 3200, "n": 500, "dropped_long": 0, "noul_ce": 0.6031342148780823, "noul_T": 0.9307791842901637, "noul_auc": 0.7383335302357765, "noul_acc": 0.696, "noul_f1": 0.738831615120275, "noul_nll": 0.6002935469225049, "noul_ece": 0.09385196328163149, "noul_brier": 0.20592077751695836, "noul_sharp": 0.16558407247066498, "entropy": 0.612604558467865}
+{"time": "10:29:12", "event": "step", "step": 110, "rows_seen": 3520, "lr": 8.49961150805399e-06, "tok_per_s": 1358.4355140547716, "loss": 0.5946035832166672, "entropy": 0.5944480895996094, "sharp": 0.1819613091647625}
+{"time": "10:31:20", "event": "step", "step": 120, "rows_seen": 3840, "lr": 5.3931729785351795e-06, "tok_per_s": 1361.9236511734002, "loss": 0.6052790284156799, "entropy": 0.6096659228205681, "sharp": 0.16632520966231823}
+{"time": "10:34:12", "event": "ckpt", "tag": "ckpt-4000", "rows_seen": 4000, "replay_seen": 210, "step": 125, "tokens": 2241889, "tok_per_s": 1281.9845794437344, "rows_per_s": 2.407414048736292, "val": {"n": 1200, "dropped_long": 0, "noul_ce": 0.5827034711837769, "noul_T": 0.8263435030077487, "choice_ce": 0.6594568490982056, "choice_T": 1.0136780131858079, "score_ce": 1.0438287258148193, "score_T": 0.9922651894318586, "noul_auc": 0.7284266666666668, "noul_acc": 0.682, "noul_f1": 0.7423014586709886, "noul_nll": 0.5932419957146049, "noul_ece": 0.06937307044863701, "noul_brier": 0.20364886409521044, "noul_sharp": 0.157422736287117, "entropy": 0.6182610988616943}, "dropped_long": 0, "peak_gib": 18.282336711883545}

meta_only/podC/e16/S1-E19-a2-n16k-syn/ckpt-16000/adapter/adapter_config.json

@@ -0,0 +1,57 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "Qwen3_5ForCausalLM",
+    "parent_library": "transformers.models.qwen3_5.modeling_qwen3_5"
+  },
+  "base_model_name_or_path": "/workspace/jev_kt/models/hf/JEV-9B",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "kasa_config": null,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "lora_ga_config": null,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "monteclora_config": null,
+  "peft_type": "LORA",
+  "peft_version": "0.21.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "in_proj_qkv",
+    "out_proj",
+    "gate_proj",
+    "q_proj",
+    "o_proj",
+    "in_proj_z",
+    "k_proj",
+    "v_proj",
+    "up_proj",
+    "down_proj"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_bdlora": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false,
+  "velora_config": null
+}

meta_only/podC/e16/S1-E19-a2-n16k-syn/ckpt-16000/adapter_vllm/adapter_config.json

@@ -0,0 +1,58 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "Qwen3_5ForCausalLM",
+    "parent_library": "transformers.models.qwen3_5.modeling_qwen3_5"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "kasa_config": null,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64.0,
+  "lora_bias": false,
+  "lora_dropout": 0.0,
+  "lora_ga_config": null,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "monteclora_config": null,
+  "peft_type": "LORA",
+  "peft_version": "0.21.0",
+  "qalora_group_size": 16,
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "gate_proj",
+    "in_proj_qkv",
+    "in_proj_z",
+    "k_proj",
+    "lm_head",
+    "o_proj",
+    "out_proj",
+    "q_proj",
+    "up_proj",
+    "v_proj"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_bdlora": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false,
+  "velora_config": null
+}

meta_only/podC/e16/S1-E19-a2-n16k-syn/ckpt-16000/adapter_vllm/decision_head.json

@@ -0,0 +1,99 @@
+{
+ "bias": [
+  0.0006698378711007535,
+  -0.0006700979429297149,
+  -0.0021969901863485575,
+  -0.0017299650935456157,
+  -0.0005682330811396241,
+  0.0019924521911889315,
+  0.0014135569799691439,
+  -0.0025292893406003714,
+  -0.0007905219681560993,
+  -0.0002544523449614644,
+  -0.0001606568694114685,
+  0.0004938746569678187,
+  -0.0007006535306572914,
+  -0.0036926602479070425,
+  -0.0041941991075873375,
+  -0.005265211220830679,
+  -0.005771999713033438,
+  -0.004428036976605654,
+  -0.004990541376173496,
+  -0.005195997189730406,
+  -0.004063368774950504,
+  -0.003612276865169406,
+  -0.005755958613008261,
+  -0.0036064963787794113
+ ],
+ "verbalizer_ids": [
+  3721,
+  1802,
+  15,
+  16,
+  17,
+  18,
+  19,
+  20,
+  32,
+  33,
+  34,
+  35,
+  36,
+  37,
+  38,
+  39,
+  40,
+  41,
+  42,
+  43,
+  44,
+  45,
+  46,
+  47
+ ],
+ "slots": {
+  "num_slots": 24,
+  "ranges": {
+   "noul": [
+    0,
+    2
+   ],
+   "score": [
+    2,
+    8
+   ],
+   "choice": [
+    8,
+    24
+   ]
+  },
+  "verbalizers": [
+   "false",
+   "true",
+   "0",
+   "1",
+   "2",
+   "3",
+   "4",
+   "5",
+   "A",
+   "B",
+   "C",
+   "D",
+   "E",
+   "F",
+   "G",
+   "H",
+   "I",
+   "J",
+   "K",
+   "L",
+   "M",
+   "N",
+   "O",
+   "P"
+  ],
+  "template_version": "bare-v1"
+ },
+ "note": "decision logits = lm_head-LoRA logprobs of verbalizer ids + bias, then per-kind temperature"
+}

meta_only/podC/e16/S1-E19-a2-n16k-syn/ckpt-16000/calibration.json

@@ -0,0 +1,29 @@
+{
+ "version": 1,
+ "per_kind": {
+  "noul": 0.9047572871969928,
+  "choice": 1.0927370167860686,
+  "score": 0.9967048444491559
+ },
+ "fit": {
+  "noul": {
+   "n": 1087,
+   "T": 0.9047572871969928,
+   "ce_before": 0.5937631726264954,
+   "ce_after": 0.5931112766265869
+  },
+  "choice": {
+   "n": 60,
+   "T": 1.0927370167860686,
+   "ce_before": 0.6747161149978638,
+   "ce_after": 0.6729037165641785
+  },
+  "score": {
+   "n": 53,
+   "T": 0.9967048444491559,
+   "ce_before": 1.0584912300109863,
+   "ce_after": 1.0584869384765625
+  }
+ },
+ "source": "models/e16/S1-E19-a2-n16k-syn/ckpt-16000"
+}

meta_only/podC/e16/S1-E19-a2-n16k-syn/ckpt-16000/judge_config.json

@@ -0,0 +1,164 @@
+{
+ "base_model_path": "/root/models/Qwen3.5-9B",
+ "hidden_size": 4096,
+ "slots": {
+  "num_slots": 24,
+  "ranges": {
+   "noul": [
+    0,
+    2
+   ],
+   "score": [
+    2,
+    8
+   ],
+   "choice": [
+    8,
+    24
+   ]
+  },
+  "verbalizers": [
+   "false",
+   "true",
+   "0",
+   "1",
+   "2",
+   "3",
+   "4",
+   "5",
+   "A",
+   "B",
+   "C",
+   "D",
+   "E",
+   "F",
+   "G",
+   "H",
+   "I",
+   "J",
+   "K",
+   "L",
+   "M",
+   "N",
+   "O",
+   "P"
+  ],
+  "template_version": "bare-v1"
+ },
+ "verbalizer_ids": [
+  3721,
+  1802,
+  15,
+  16,
+  17,
+  18,
+  19,
+  20,
+  32,
+  33,
+  34,
+  35,
+  36,
+  37,
+  38,
+  39,
+  40,
+  41,
+  42,
+  43,
+  44,
+  45,
+  46,
+  47
+ ],
+ "kinds": [
+  "noul",
+  "choice",
+  "score"
+ ],
+ "model_name": "jev-judge-qwen35-9b",
+ "model_version": "0.8.0",
+ "lm_head_included": true,
+ "weights_mode": "unmerged",
+ "adapter_subfolder": "adapter",
+ "lora": {
+  "r": 16,
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "target_modules": [
+   "down_proj",
+   "gate_proj",
+   "in_proj_qkv",
+   "in_proj_z",
+   "k_proj",
+   "o_proj",
+   "out_proj",
+   "q_proj",
+   "up_proj",
+   "v_proj"
+  ]
+ },
+ "trained_stage": "e16",
+ "source_checkpoint": "models/e16/S1-E19-a2-n16k-syn/ckpt-16000",
+ "softcap": null,
+ "e16": {
+  "data": "data/e19/E19-a2-n16k",
+  "data_manifest": {
+   "arm": "E19-a2-n16k",
+   "name": null,
+   "train_sha256": "a5314ca9860ca9cb0b6c14e6ac6beac1ecb4c88d10dfa3f5ffd93461a640394d",
+   "n_train": 16000
+  },
+  "init": "released",
+  "objective": "s-log",
+  "sigma": 0.5,
+  "K": 8,
+  "reward": "brier",
+  "clip": 0.2,
+  "passes": 1,
+  "lr": 0.0001,
+  "lr_head": 0.0002,
+  "rows_per_step": 32,
+  "train_seed": 0,
+  "replay": "data/e16/replay/train.jsonl",
+  "replay_frac": 0.05,
+  "replay_sha256": "9dd2df19851678750cf79d2fdb47581720930ef2f0c6e18e6fbe23ef2181847e",
+  "max_len": 3072,
+  "schedule": "warmup 0.03 + cosine to x0.05 over 500 steps",
+  "total_rows": 16000,
+  "lora": {
+   "r": 16,
+   "lora_alpha": 32,
+   "lora_dropout": 0.05
+  },
+  "trainer_sha256": "bc7c08e836bd99bb2665b02903cd41404ea029ecfa9b68a9ec1a7cda96958ba4",
+  "event": "ckpt",
+  "tag": "ckpt-16000",
+  "rows_seen": 16000,
+  "replay_seen": 842,
+  "step": 500,
+  "tokens": 8990682,
+  "tok_per_s": 1344.3311516320903,
+  "rows_per_s": 2.5182989732403476,
+  "val": {
+   "n": 1200,
+   "dropped_long": 0,
+   "noul_ce": 0.5937631726264954,
+   "noul_T": 0.9047572871969928,
+   "choice_ce": 0.6747161149978638,
+   "choice_T": 1.0927370167860686,
+   "score_ce": 1.0584912300109863,
+   "score_T": 0.9967048444491559,
+   "noul_auc": 0.7048618666666668,
+   "noul_acc": 0.678,
+   "noul_f1": 0.7456556082148499,
+   "noul_nll": 0.6039860939010978,
+   "noul_ece": 0.06863907600939272,
+   "noul_brier": 0.20806680856170295,
+   "noul_sharp": 0.15675228834152222,
+   "entropy": 0.6183658838272095
+  },
+  "dropped_long": 0,
+  "peak_gib": 18.282336711883545
+ }
+}

meta_only/podC/e16/S1-E19-a2-n16k-syn/train_log.jsonl

@@ -0,0 +1,57 @@
+{"time": "18:56:18", "event": "start", "data": "data/e19/E19-a2-n16k", "data_manifest": {"arm": "E19-a2-n16k", "name": null, "train_sha256": "a5314ca9860ca9cb0b6c14e6ac6beac1ecb4c88d10dfa3f5ffd93461a640394d", "n_train": 16000}, "init": "released", "objective": "s-log", "sigma": 0.5, "K": 8, "reward": "brier", "clip": 0.2, "passes": 1, "lr": 0.0001, "lr_head": 0.0002, "rows_per_step": 32, "train_seed": 0, "replay": "data/e16/replay/train.jsonl", "replay_frac": 0.05, "replay_sha256": "9dd2df19851678750cf79d2fdb47581720930ef2f0c6e18e6fbe23ef2181847e", "max_len": 3072, "schedule": "warmup 0.03 + cosine to x0.05 over 500 steps", "total_rows": 16000, "lora": {"r": 16, "lora_alpha": 32, "lora_dropout": 0.05}, "trainer_sha256": "bc7c08e836bd99bb2665b02903cd41404ea029ecfa9b68a9ec1a7cda96958ba4", "device": "cuda", "load_s": 43.217817068099976}
+{"time": "18:58:31", "event": "step", "step": 10, "rows_seen": 320, "lr": 7.333333333333333e-05, "tok_per_s": 1385.477472176674, "loss": 0.5247664302587509, "entropy": 0.4338454119861126, "sharp": 0.3302402812987566}
+{"time": "19:00:41", "event": "step", "step": 20, "rows_seen": 640, "lr": 9.997508952966197e-05, "tok_per_s": 1403.5616882646395, "loss": 0.5751404240727425, "entropy": 0.5958842858672142, "sharp": 0.1952694095671177}
+{"time": "19:02:42", "event": "step", "step": 30, "rows_seen": 960, "lr": 9.977596250541417e-05, "tok_per_s": 1404.2220055052264, "loss": 0.48137017339468, "entropy": 0.40653110668063164, "sharp": 0.3437589555978775}
+{"time": "19:04:46", "event": "step", "step": 40, "rows_seen": 1280, "lr": 9.937854366485982e-05, "tok_per_s": 1408.1360909807695, "loss": 0.5572982095181942, "entropy": 0.4805666208267212, "sharp": 0.29878697730600834}
+{"time": "19:06:51", "event": "step", "step": 50, "rows_seen": 1600, "lr": 9.8784499920729e-05, "tok_per_s": 1409.7580368243594, "loss": 0.4954070411622524, "entropy": 0.5428714752197266, "sharp": 0.2410884741693735}
+{"time": "19:08:56", "event": "step", "step": 60, "rows_seen": 1920, "lr": 9.79963228989294e-05, "tok_per_s": 1410.3238781392276, "loss": 0.45892108231782913, "entropy": 0.4656597077846527, "sharp": 0.29567381739616394}
+{"time": "19:11:01", "event": "step", "step": 70, "rows_seen": 2240, "lr": 9.701731848780134e-05, "tok_per_s": 1411.8214208490128, "loss": 0.5105417296290398, "entropy": 0.537216879427433, "sharp": 0.25356854125857353}
+{"time": "19:13:05", "event": "step", "step": 80, "rows_seen": 2560, "lr": 9.585159297207315e-05, "tok_per_s": 1413.2787968080122, "loss": 0.5380173744633794, "entropy": 0.4449037704616785, "sharp": 0.3256063889712095}
+{"time": "19:15:12", "event": "step", "step": 90, "rows_seen": 2880, "lr": 9.450403580967612e-05, "tok_per_s": 1413.6322563295262, "loss": 0.5366313755512238, "entropy": 0.5132209733128548, "sharp": 0.26650951243937016}
+{"time": "19:17:17", "event": "step", "step": 100, "rows_seen": 3200, "lr": 9.298029912365855e-05, "tok_per_s": 1412.1126331396158, "loss": 0.5043354122899473, "entropy": 0.5521664265543222, "sharp": 0.22674261033535004}
+{"time": "19:18:06", "event": "val", "step": 100, "rows_seen": 3200, "n": 500, "dropped_long": 0, "noul_ce": 0.6149378418922424, "noul_T": 0.7375557730970712, "noul_auc": 0.7134900676781826, "noul_acc": 0.7, "noul_f1": 0.7596153846153846, "noul_nll": 0.6107168177515269, "noul_ece": 0.09418499451875689, "noul_brier": 0.2105225550184868, "noul_sharp": 0.127383291721344, "entropy": 0.6430708169937134}
+{"time": "19:20:09", "event": "step", "step": 110, "rows_seen": 3520, "lr": 9.128677399521752e-05, "tok_per_s": 1362.433363652644, "loss": 0.5413701012730598, "entropy": 0.4831184148788452, "sharp": 0.28917399421334267}
+{"time": "19:22:15", "event": "step", "step": 120, "rows_seen": 3840, "lr": 8.943056365728335e-05, "tok_per_s": 1367.0402478403687, "loss": 0.43927623331546783, "entropy": 0.47305666469037533, "sharp": 0.30389455053955317}
+{"time": "19:24:21", "event": "step", "step": 130, "rows_seen": 4160, "lr": 8.741945370109202e-05, "tok_per_s": 1370.7263818230015, "loss": 0.49060945585370064, "entropy": 0.5971689112484455, "sharp": 0.17916640639305115}
+{"time": "19:26:28", "event": "step", "step": 140, "rows_seen": 4480, "lr": 8.526187942070997e-05, "tok_per_s": 1373.8071327475361, "loss": 0.5926672853529453, "entropy": 0.44868344254791737, "sharp": 0.2993247667327523}
+{"time": "19:28:36", "event": "step", "step": 150, "rows_seen": 4800, "lr": 8.296689043247915e-05, "tok_per_s": 1377.136277897715, "loss": 0.5692827999591827, "entropy": 0.5778709538280964, "sharp": 0.21019000746309757}
+{"time": "19:30:43", "event": "step", "step": 160, "rows_seen": 5120, "lr": 8.054411271778132e-05, "tok_per_s": 1380.089352919323, "loss": 0.5854028910398483, "entropy": 0.5196349546313286, "sharp": 0.2624770514667034}
+{"time": "19:32:51", "event": "step", "step": 170, "rows_seen": 5440, "lr": 7.800370824832674e-05, "tok_per_s": 1382.4524809212264, "loss": 0.5270481240004301, "entropy": 0.5809562280774117, "sharp": 0.19737863168120384}
+{"time": "19:35:00", "event": "step", "step": 180, "rows_seen": 5760, "lr": 7.535633236331324e-05, "tok_per_s": 1384.045741748671, "loss": 0.5422259196639061, "entropy": 0.5214383862912655, "sharp": 0.2639003526419401}
+{"time": "19:37:06", "event": "step", "step": 190, "rows_seen": 6080, "lr": 7.26130890772308e-05, "tok_per_s": 1385.9743253048578, "loss": 0.4844429977238178, "entropy": 0.5398419313132763, "sharp": 0.21770548447966576}
+{"time": "19:39:14", "event": "step", "step": 200, "rows_seen": 6400, "lr": 6.978548450576568e-05, "tok_per_s": 1388.0425200434156, "loss": 0.4802835248410702, "entropy": 0.44681617990136147, "sharp": 0.3160276897251606}
+{"time": "19:40:04", "event": "val", "step": 200, "rows_seen": 6400, "n": 500, "dropped_long": 0, "noul_ce": 0.635198175907135, "noul_T": 0.9257354388577168, "noul_auc": 0.7164773590319149, "noul_acc": 0.658, "noul_f1": 0.6918918918918919, "noul_nll": 0.6329354876875878, "noul_ece": 0.132399690926075, "noul_brier": 0.2210429842168603, "noul_sharp": 0.1285407990217209, "entropy": 0.6421400904655457}
+{"time": "19:42:14", "event": "step", "step": 210, "rows_seen": 6720, "lr": 6.688537860515266e-05, "tok_per_s": 1365.43109568687, "loss": 0.5809464976191521, "entropy": 0.5047618895769119, "sharp": 0.2757837474346161}
+{"time": "19:44:21", "event": "step", "step": 220, "rows_seen": 7040, "lr": 6.392493542739706e-05, "tok_per_s": 1367.301411365862, "loss": 0.6484162993729115, "entropy": 0.5257655512541533, "sharp": 0.25359613820910454}
+{"time": "19:46:31", "event": "step", "step": 230, "rows_seen": 7360, "lr": 6.091657210001309e-05, "tok_per_s": 1369.692922206227, "loss": 0.5557615142315626, "entropy": 0.5202186666429043, "sharp": 0.26316551119089127}
+{"time": "19:48:39", "event": "step", "step": 240, "rows_seen": 7680, "lr": 5.7872906744276015e-05, "tok_per_s": 1371.737197504963, "loss": 0.5095804557204247, "entropy": 0.5369404815137386, "sharp": 0.24869558028876781}
+{"time": "19:50:44", "event": "step", "step": 250, "rows_seen": 8000, "lr": 5.48067055504363e-05, "tok_per_s": 1373.4286489280773, "loss": 0.5516218580305576, "entropy": 0.5224902555346489, "sharp": 0.2518802620470524}
+{"time": "19:52:50", "event": "step", "step": 260, "rows_seen": 8320, "lr": 5.173082923188119e-05, "tok_per_s": 1375.651148227875, "loss": 0.544958371669054, "entropy": 0.5064634513109922, "sharp": 0.2712111659348011}
+{"time": "19:55:00", "event": "step", "step": 270, "rows_seen": 8640, "lr": 4.865817908283331e-05, "tok_per_s": 1377.093920348103, "loss": 0.5889974869787693, "entropy": 0.5341865494847298, "sharp": 0.2559472657740116}
+{"time": "19:57:07", "event": "step", "step": 280, "rows_seen": 8960, "lr": 4.560164286583922e-05, "tok_per_s": 1378.2677417466953, "loss": 0.5202695867046714, "entropy": 0.5135232824832201, "sharp": 0.26846520230174065}
+{"time": "19:59:14", "event": "step", "step": 290, "rows_seen": 9280, "lr": 4.257404075601443e-05, "tok_per_s": 1379.2541829938395, "loss": 0.6209280118346214, "entropy": 0.5323361940681934, "sharp": 0.24924343824386597}
+{"time": "20:01:22", "event": "step", "step": 300, "rows_seen": 9600, "lr": 3.958807156877371e-05, "tok_per_s": 1380.8226958055438, "loss": 0.5230077710002661, "entropy": 0.5381604488939047, "sharp": 0.23566144425421953}
+{"time": "20:02:11", "event": "val", "step": 300, "rows_seen": 9600, "n": 500, "dropped_long": 0, "noul_ce": 0.6458771824836731, "noul_T": 0.7752566590735198, "noul_auc": 0.7213886685456785, "noul_acc": 0.66, "noul_f1": 0.6851851851851852, "noul_nll": 0.6411378567218781, "noul_ece": 0.1388076975941658, "noul_brier": 0.22494359427119656, "noul_sharp": 0.09895090013742447, "entropy": 0.6612361073493958}
+{"time": "20:04:13", "event": "step", "step": 310, "rows_seen": 9920, "lr": 3.665625949658603e-05, "tok_per_s": 1365.176613263626, "loss": 0.5256699211895466, "entropy": 0.5076260566711426, "sharp": 0.2641800018027425}
+{"time": "20:06:18", "event": "step", "step": 320, "rows_seen": 10240, "lr": 3.379090157815887e-05, "tok_per_s": 1366.6097576720865, "loss": 0.5592610612511635, "entropy": 0.5497396364808083, "sharp": 0.21958957985043526}
+{"time": "20:08:29", "event": "step", "step": 330, "rows_seen": 10560, "lr": 3.10040161203844e-05, "tok_per_s": 1368.5246425495216, "loss": 0.47494228929281235, "entropy": 0.4603709243237972, "sharp": 0.29469114542007446}
+{"time": "20:10:40", "event": "step", "step": 340, "rows_seen": 10880, "lr": 2.8307292289383776e-05, "tok_per_s": 1370.1682136587078, "loss": 0.5282086133956909, "entropy": 0.5048243328928947, "sharp": 0.2614277396351099}
+{"time": "20:12:40", "event": "step", "step": 350, "rows_seen": 11200, "lr": 2.571204108208194e-05, "tok_per_s": 1371.109699116005, "loss": 0.5354712158441544, "entropy": 0.5115997940301895, "sharp": 0.26130226626992226}
+{"time": "20:14:46", "event": "step", "step": 360, "rows_seen": 11520, "lr": 2.322914788395595e-05, "tok_per_s": 1372.6174538967934, "loss": 0.5462209433317184, "entropy": 0.5192896276712418, "sharp": 0.26255200430750847}
+{"time": "20:16:58", "event": "step", "step": 370, "rows_seen": 11840, "lr": 2.0869026811945157e-05, "tok_per_s": 1374.3640030969023, "loss": 0.5717350095510483, "entropy": 0.5450963526964188, "sharp": 0.2410191996023059}
+{"time": "20:19:10", "event": "step", "step": 380, "rows_seen": 12160, "lr": 1.8641577034025627e-05, "tok_per_s": 1375.6593794107682, "loss": 0.5249053034931421, "entropy": 0.4921685419976711, "sharp": 0.27522463258355856}
+{"time": "20:21:20", "event": "step", "step": 390, "rows_seen": 12480, "lr": 1.6556141248659472e-05, "tok_per_s": 1376.8060797720595, "loss": 0.5235885037109256, "entropy": 0.5130063500255346, "sharp": 0.26459681894630194}
+{"time": "20:23:28", "event": "step", "step": 400, "rows_seen": 12800, "lr": 1.4621466498270773e-05, "tok_per_s": 1378.1234460509056, "loss": 0.46129272505640984, "entropy": 0.4439067542552948, "sharp": 0.3171013221144676}
+{"time": "20:24:17", "event": "val", "step": 400, "rows_seen": 12800, "n": 500, "dropped_long": 0, "noul_ce": 0.6304543614387512, "noul_T": 1.0069876254711463, "noul_auc": 0.7173212266459639, "noul_acc": 0.662, "noul_f1": 0.6998223801065719, "noul_nll": 0.6257986651882529, "noul_ece": 0.1102108212709427, "noul_brier": 0.21754497959635336, "noul_sharp": 0.1447533220052719, "entropy": 0.6298356652259827}
+{"time": "20:26:23", "event": "step", "step": 410, "rows_seen": 13120, "lr": 1.284566748110963e-05, "tok_per_s": 1366.7648431194411, "loss": 0.4775236248970032, "entropy": 0.513160765171051, "sharp": 0.25287577882409096}
+{"time": "20:28:28", "event": "step", "step": 420, "rows_seen": 13440, "lr": 1.1236192515387821e-05, "tok_per_s": 1368.0275983461577, "loss": 0.5791216529905796, "entropy": 0.5490939393639565, "sharp": 0.2308947592973709}
+{"time": "20:30:30", "event": "step", "step": 430, "rows_seen": 13760, "lr": 9.799792298443728e-06, "tok_per_s": 1369.1587337870392, "loss": 0.632211547344923, "entropy": 0.5516551397740841, "sharp": 0.23398262448608875}
+{"time": "20:32:29", "event": "step", "step": 440, "rows_seen": 14080, "lr": 8.542491591971554e-06, "tok_per_s": 1370.127145319904, "loss": 0.5257420092821121, "entropy": 0.5278074853122234, "sharp": 0.2514466531574726}
+{"time": "20:34:39", "event": "step", "step": 450, "rows_seen": 14400, "lr": 7.469563952077155e-06, "tok_per_s": 1371.5624135302796, "loss": 0.5055914744734764, "entropy": 0.5135335326194763, "sharp": 0.2528463341295719}
+{"time": "20:36:44", "event": "step", "step": 460, "rows_seen": 14720, "lr": 6.585509610150972e-06, "tok_per_s": 1372.5574457306723, "loss": 0.5484344065189362, "entropy": 0.4992627948522568, "sharp": 0.27036235574632883}
+{"time": "20:38:49", "event": "step", "step": 470, "rows_seen": 15040, "lr": 5.894036597333646e-06, "tok_per_s": 1373.1921440867266, "loss": 0.5624833889305592, "entropy": 0.5187158361077309, "sharp": 0.262727040797472}
+{"time": "20:40:54", "event": "step", "step": 480, "rows_seen": 15360, "lr": 5.398045191744809e-06, "tok_per_s": 1374.1611359363137, "loss": 0.5062696672976017, "entropy": 0.507036853581667, "sharp": 0.265743849799037}
+{"time": "20:43:03", "event": "step", "step": 490, "rows_seen": 15680, "lr": 5.099615753708697e-06, "tok_per_s": 1375.164679381925, "loss": 0.5449868813157082, "entropy": 0.551034189760685, "sharp": 0.22819776739925146}
+{"time": "20:45:12", "event": "step", "step": 500, "rows_seen": 16000, "lr": 5e-06, "tok_per_s": 1376.013083820405, "loss": 0.5600436087697744, "entropy": 0.4922029636800289, "sharp": 0.26864778995513916}
+{"time": "20:46:01", "event": "val", "step": 500, "rows_seen": 16000, "n": 500, "dropped_long": 0, "noul_ce": 0.6091163158416748, "noul_T": 0.9042598282916765, "noul_auc": 0.7209582960625136, "noul_acc": 0.69, "noul_f1": 0.743801652892562, "noul_nll": 0.6054745966047048, "noul_ece": 0.08616434323787693, "noul_brier": 0.20812333297577162, "noul_sharp": 0.15428821742534637, "entropy": 0.6212228536605835}
+{"time": "20:47:47", "event": "ckpt", "tag": "ckpt-16000", "rows_seen": 16000, "replay_seen": 842, "step": 500, "tokens": 8990682, "tok_per_s": 1344.3311516320903, "rows_per_s": 2.5182989732403476, "val": {"n": 1200, "dropped_long": 0, "noul_ce": 0.5937631726264954, "noul_T": 0.9047572871969928, "choice_ce": 0.6747161149978638, "choice_T": 1.0927370167860686, "score_ce": 1.0584912300109863, "score_T": 0.9967048444491559, "noul_auc": 0.7048618666666668, "noul_acc": 0.678, "noul_f1": 0.7456556082148499, "noul_nll": 0.6039860939010978, "noul_ece": 0.06863907600939272, "noul_brier": 0.20806680856170295, "noul_sharp": 0.15675228834152222, "entropy": 0.6183658838272095}, "dropped_long": 0, "peak_gib": 18.282336711883545}

meta_only/podC/e16/S1-E19-a2-n4k-syn/ckpt-4000/adapter/adapter_config.json

@@ -0,0 +1,57 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "Qwen3_5ForCausalLM",
+    "parent_library": "transformers.models.qwen3_5.modeling_qwen3_5"
+  },
+  "base_model_name_or_path": "/workspace/jev_kt/models/hf/JEV-9B",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "kasa_config": null,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "lora_ga_config": null,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "monteclora_config": null,
+  "peft_type": "LORA",
+  "peft_version": "0.21.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "in_proj_qkv",
+    "o_proj",
+    "up_proj",
+    "v_proj",
+    "k_proj",
+    "out_proj",
+    "down_proj",
+    "q_proj",
+    "gate_proj",
+    "in_proj_z"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_bdlora": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false,
+  "velora_config": null
+}

meta_only/podC/e16/S1-E19-a2-n4k-syn/ckpt-4000/adapter_vllm/adapter_config.json

@@ -0,0 +1,58 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "Qwen3_5ForCausalLM",
+    "parent_library": "transformers.models.qwen3_5.modeling_qwen3_5"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "kasa_config": null,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64.0,
+  "lora_bias": false,
+  "lora_dropout": 0.0,
+  "lora_ga_config": null,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "monteclora_config": null,
+  "peft_type": "LORA",
+  "peft_version": "0.21.0",
+  "qalora_group_size": 16,
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "gate_proj",
+    "in_proj_qkv",
+    "in_proj_z",
+    "k_proj",
+    "lm_head",
+    "o_proj",
+    "out_proj",
+    "q_proj",
+    "up_proj",
+    "v_proj"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_bdlora": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false,
+  "velora_config": null
+}