framing_narrative / training_progress_scores.csv
juliamendelsohn's picture
commit from juliame
d2de03f
global_step,LRAP,train_loss,eval_loss,macro_f1,weighted_f1,micro_f1
100,0.8688888888888889,0.6712647676467896,0.6655346887153492,0.629361647146451,0.6429480873405042,0.6604651162790698
200,0.9022222222222223,0.622482180595398,0.6217048429606253,0.7149342891278375,0.7221650823333853,0.7140255009107467
300,0.9211111111111111,0.645097017288208,0.564243764730922,0.747250821467689,0.7550740511452926,0.7442748091603052
400,0.9433333333333334,0.4158073365688324,0.4596461151775561,0.8060647408391534,0.810685072013626,0.808870116156283
450,0.9422222222222222,0.3783313035964966,0.4709558994100805,0.7914668045768958,0.7954028674459719,0.7925311203319503
500,0.9488888888888889,0.19125902652740479,0.45353686155980094,0.7993172428788868,0.8032861586167126,0.8012486992715921
600,0.9422222222222222,0.1630704402923584,0.4669703522272277,0.7968712889376086,0.8005667623847711,0.7982924226254001
700,0.9444444444444444,0.22344070672988892,0.4686663888002697,0.8204055508930768,0.8245448370141117,0.8221993833504625
800,0.95,0.08767425268888474,0.505050193975892,0.8055735662433097,0.8098452775976709,0.8065843621399177
900,0.9344444444444444,0.4574398100376129,0.5292613248814616,0.802930543741412,0.8072047941873465,0.8028311425682507
900,0.9344444444444444,0.4574398100376129,0.5292613248814616,0.802930543741412,0.8072047941873465,0.8028311425682507
1000,0.9555555555555556,0.10432564467191696,0.5467683255933878,0.8145011850894204,0.8192593425329997,0.816580310880829
1100,0.9366666666666666,0.04333396628499031,0.6997267740468184,0.7960599016880692,0.8010550225401721,0.7962962962962963
1200,0.9477777777777778,0.15754951536655426,0.6409595489763377,0.8068247684585692,0.8118612268840607,0.81010101010101
1300,0.9366666666666666,0.22498680651187897,0.838626898171609,0.7912846217585612,0.7930776858606029,0.7914893617021276
1350,0.9533333333333334,0.2192697376012802,0.624743136920427,0.8270526726757312,0.8307004006781048,0.8299180327868853
1400,0.9455555555555556,0.008564803749322891,0.6911759957540453,0.8140959679676233,0.8173227919009304,0.815734989648033
1500,0.9511111111111111,0.13262632489204407,0.7170684868960004,0.8185130452507134,0.8229164820361936,0.8213552361396304
1600,0.9555555555555556,0.02835235930979252,0.7308089047049483,0.8346854196137629,0.8381251585512342,0.836864406779661
1700,0.9555555555555556,0.2004336565732956,0.7956759523796407,0.8368408232858361,0.841754168586149,0.8378650553877142
1800,0.9566666666666667,0.20597997307777405,0.7102973188371643,0.8427885829754989,0.8469595967361104,0.8471337579617835
1800,0.9566666666666667,0.20597997307777405,0.7102973188371643,0.8427885829754989,0.8469595967361104,0.8471337579617835
1900,0.9555555555555556,0.009137887507677078,0.9947028399298066,0.8138726409888533,0.8202856964631027,0.8149568552253116
2000,0.9522222222222222,0.28019455075263977,0.8701596499437041,0.8359751405246253,0.8405558287170655,0.8375893769152195
2100,0.9511111111111111,0.0018466315232217312,0.9114740584249886,0.832292902715438,0.8360590895802165,0.8331606217616582
2200,0.9433333333333334,0.4305149018764496,1.1260405475633186,0.8112835216731321,0.8154172197085806,0.8110882956878851
2250,0.9588888888888889,0.002886707428842783,0.9006183988357518,0.834777455006845,0.8397805254439794,0.8382502543234995
2300,0.9411111111111111,0.00110447162296623,1.0480767613146127,0.8279897216067429,0.8340268876809118,0.8296593186372746
2400,0.9488888888888889,0.09333579987287521,1.0714588659946203,0.8278761264733209,0.8328137790540858,0.8285714285714286
2500,0.9088888888888889,0.003728174138814211,1.496243638362278,0.7857108520610503,0.7912301510583488,0.7832167832167832
2600,0.9511111111111111,0.0014892718754708767,1.1304752279334425,0.8133553274682306,0.8179374389051809,0.8133198789101919