midway through v13-16

src/training/PaperMVE/models/papermve_v13_aug25_0135.json

@@ -0,0 +1 @@
+{"train_DA_loss": [0.074045705692451, 0.03930873027108814, 0.03540397714653224, 0.027051034002093226, 0.018039567373910922, 0.017921314067403077, 0.017798688115426075, 0.019872512702423215, 0.02286352974939853, 0.01902650184486695], "train_regression_loss": [0.3390971788152426, 0.018209799403968305, 0.013946445384684276, 0.014198767006826303, 0.012644226030298463, 0.011436801892407306, 0.010585138982015456, 0.009959127610103249, 0.010260955428864665, 0.00869415259078976], "train_mve_loss": [0.6005080581431564, -0.12668590899216356, -0.16647876338893633, -0.14943660240215156, -0.16028476857207374, -0.15615616186770528, -0.13086536727076092, -0.11698148356004869, -0.08493164197117825, -0.09820279015919409], "train_r2_score": [-0.04530006250976835, 0.9446485593856297, 0.9574518622622085, 0.9568315024106998, 0.9618152807734378, 0.9652017593493721, 0.96783988641834, 0.9697568193001149, 0.9689948410914466, 0.9734233694868306], "val_source_regression_loss": [0.016274939208656927, 0.012027408750845662, 0.011052786148613013, 0.022830985073896148, 0.03581412626972681, 0.009688264100894899, 0.03188005077970933, 0.045378657977415034, 0.005398560188639956, 0.005573129732326805], "val_target_regression_loss": [0.02174374418733995, 0.014568245403845853, 0.011626596350364293, 0.02555116850741302, 0.040585558059849314, 0.01191336680439454, 0.030643937284056143, 0.04997606995173647, 0.007245964724334735, 0.006370711759251507], "val_source_r2_score": [0.9500989715822983, 0.9632970040355491, 0.9661447096078181, 0.9296309392290663, 0.8900184222692502, 0.9703090308672688, 0.9017647433996039, 0.8610178054628729, 0.9835350889700976, 0.9829073597945976], "val_target_r2_score": [0.9352261877828143, 0.9557066184378445, 0.9653920503003806, 0.9238134956140687, 0.87861919530608, 0.9635717011520903, 0.9087000845933064, 0.8514610340784796, 0.9787563088024731, 0.9809571290468629], "val_source_mve_loss": [-0.22741702944040298, -0.24625112531305868, -0.2074720182373554, -0.06194741401491286, -0.21694585190543644, -0.17145412575594987, 0.09842110329743804, -0.1570294282953196, -0.04865145485235166, -0.2286931430991692], "val_target_mve_loss": [-0.22141442268709594, -0.244132652690139, -0.20686309548872936, -0.06150698091221761, -0.19613435826724088, -0.04770062015026431, 0.11028116479916852, -0.1398842053700097, 0.015811409860189203, -0.22770054468625708], "val_source_nll_loss": [728.1018292149411, -0.8019069335128688, -1.1686849065973788, 9781.207128817523, -0.844939329201662, 13.052074415019796, 11034.54917115803, 253.3441274596166, 2111.6113030156002, 11.949207983439482], "val_target_nll_loss": [799.5468719065943, -0.7952870409699935, -1.165701790700985, 9464.17738137215, 1302.4936962912354, 9464.931575945284, 12151.388180503362, 1183.0711769838877, 6944.735998226118, 15.339063648936115], "da_weight": [1.4, 1.4, 1.4, 1.4, 1.4, 1.4, 1.4, 1.4, 1.4, 1.4], "beta": [0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7], "epoch_no": 10}

src/training/PaperMVE/models/papermve_v13_aug25_0135_mve.json

@@ -0,0 +1 @@
+{"train_DA_loss": [0.074045705692451, 0.03930873027108814], "train_regression_loss": [0.3390971788152426, 0.018209799403968305], "train_mve_loss": [0.6005080581431564, -0.12668590899216356], "train_r2_score": [-0.04530006250976835, 0.9446485593856297], "val_source_regression_loss": [0.016274939208656927, 0.012027408750845662], "val_target_regression_loss": [0.02174374418733995, 0.014568245403845853], "val_source_r2_score": [0.9500989715822983, 0.9632970040355491], "val_target_r2_score": [0.9352261877828143, 0.9557066184378445], "val_source_mve_loss": [-0.22741702944040298, -0.24625112531305868], "val_target_mve_loss": [-0.22141442268709594, -0.244132652690139], "val_source_nll_loss": [728.1018292149411, -0.8019069335128688], "val_target_nll_loss": [799.5468719065943, -0.7952870409699935], "da_weight": [1.4, 1.4], "beta": [0.7, 0.7], "epoch_no": 2}

src/training/PaperMVE/models/papermve_v13_aug25_0135_nll.json

@@ -0,0 +1 @@
+{"train_DA_loss": [0.074045705692451, 0.03930873027108814, 0.03540397714653224], "train_regression_loss": [0.3390971788152426, 0.018209799403968305, 0.013946445384684276], "train_mve_loss": [0.6005080581431564, -0.12668590899216356, -0.16647876338893633], "train_r2_score": [-0.04530006250976835, 0.9446485593856297, 0.9574518622622085], "val_source_regression_loss": [0.016274939208656927, 0.012027408750845662, 0.011052786148613013], "val_target_regression_loss": [0.02174374418733995, 0.014568245403845853, 0.011626596350364293], "val_source_r2_score": [0.9500989715822983, 0.9632970040355491, 0.9661447096078181], "val_target_r2_score": [0.9352261877828143, 0.9557066184378445, 0.9653920503003806], "val_source_mve_loss": [-0.22741702944040298, -0.24625112531305868, -0.2074720182373554], "val_target_mve_loss": [-0.22141442268709594, -0.244132652690139, -0.20686309548872936], "val_source_nll_loss": [728.1018292149411, -0.8019069335128688, -1.1686849065973788], "val_target_nll_loss": [799.5468719065943, -0.7952870409699935, -1.165701790700985], "da_weight": [1.4, 1.4, 1.4], "beta": [0.7, 0.7, 0.7], "epoch_no": 3}

src/training/PaperMVE/models/papermve_v14_aug25_0140.json

@@ -0,0 +1 @@
+{"train_DA_loss": [0.19508937598500653, 0.06547248312416852, 0.047338554482409895, 0.04304498840647816, 0.06393853902912118, 0.03689707133755551], "train_regression_loss": [0.7462842813412058, 0.11378272616694353, 0.049709790156408466, 0.05628881652514285, 0.12058706465134673, 0.07319523326684832], "train_mve_loss": [0.966157994142834, -0.023977104295215396, -0.04814114420584503, 0.3290574155429504, 0.5049388734742972, 0.1687653811416083], "train_r2_score": [-1.2781626114391604, 0.6564001090377818, 0.8496598439013314, 0.8293242236436948, 0.6355048582132036, 0.7784512739452757], "val_source_regression_loss": [0.2102346680586851, 0.06479931174765659, 0.0375537640309032, 0.08487622350265708, 0.09870421240412736, 0.05245032897101173], "val_target_regression_loss": [0.2603883286820182, 0.08691482972117918, 0.05541670793973947, 0.10890569679344757, 0.09406312526781348, 0.05202204139926766], "val_source_r2_score": [0.35864572580248255, 0.8022747815064624, 0.8852903406757134, 0.7394217232701116, 0.6977145004946399, 0.8400645911901778], "val_target_r2_score": [0.2291877972305611, 0.7405617202618903, 0.8360849089674358, 0.6767709001045614, 0.7206691805834243, 0.8446926136443786], "val_source_mve_loss": [0.1394919666308391, -0.08938555263831646, 0.028020826775486334, 0.9934148946894875, 0.29018921942650516, 0.0035207533289360097], "val_target_mve_loss": [0.1672792932655238, -0.07044061678874342, 0.25510502500530285, 1.0336392355870596, 0.3428090807003311, 0.01055874535224483], "val_source_nll_loss": [228.1527610258494, 624.3598270845375, 14619.938377670094, 0.48083253676378274, 0.12658639139012445, 5219.6628448872625], "val_target_nll_loss": [130.46695638768657, 582.3043945002594, 30942.935546875, 0.5001946665063689, 497.5039366607236, 5050.861252778693], "da_weight": [1.4, 1.4, 1.4, 1.4, 1.4, 1.4], "beta": [0.7, 0.7, 0.7, 0.7, 0.7, 0.7], "epoch_no": 6}

src/training/PaperMVE/models/papermve_v14_aug25_0140_mve.json

@@ -0,0 +1 @@
+{"train_DA_loss": [0.19508937598500653, 0.06547248312416852], "train_regression_loss": [0.7462842813412058, 0.11378272616694353], "train_mve_loss": [0.966157994142834, -0.023977104295215396], "train_r2_score": [-1.2781626114391604, 0.6564001090377818], "val_source_regression_loss": [0.2102346680586851, 0.06479931174765659], "val_target_regression_loss": [0.2603883286820182, 0.08691482972117918], "val_source_r2_score": [0.35864572580248255, 0.8022747815064624], "val_target_r2_score": [0.2291877972305611, 0.7405617202618903], "val_source_mve_loss": [0.1394919666308391, -0.08938555263831646], "val_target_mve_loss": [0.1672792932655238, -0.07044061678874342], "val_source_nll_loss": [228.1527610258494, 624.3598270845375], "val_target_nll_loss": [130.46695638768657, 582.3043945002594], "da_weight": [1.4, 1.4], "beta": [0.7, 0.7], "epoch_no": 2}

src/training/PaperMVE/models/papermve_v14_aug25_0140_nll.json

@@ -0,0 +1 @@
+{"train_DA_loss": [0.19508937598500653, 0.06547248312416852, 0.047338554482409895, 0.04304498840647816], "train_regression_loss": [0.7462842813412058, 0.11378272616694353, 0.049709790156408466, 0.05628881652514285], "train_mve_loss": [0.966157994142834, -0.023977104295215396, -0.04814114420584503, 0.3290574155429504], "train_r2_score": [-1.2781626114391604, 0.6564001090377818, 0.8496598439013314, 0.8293242236436948], "val_source_regression_loss": [0.2102346680586851, 0.06479931174765659, 0.0375537640309032, 0.08487622350265708], "val_target_regression_loss": [0.2603883286820182, 0.08691482972117918, 0.05541670793973947, 0.10890569679344757], "val_source_r2_score": [0.35864572580248255, 0.8022747815064624, 0.8852903406757134, 0.7394217232701116], "val_target_r2_score": [0.2291877972305611, 0.7405617202618903, 0.8360849089674358, 0.6767709001045614], "val_source_mve_loss": [0.1394919666308391, -0.08938555263831646, 0.028020826775486334, 0.9934148946894875], "val_target_mve_loss": [0.1672792932655238, -0.07044061678874342, 0.25510502500530285, 1.0336392355870596], "val_source_nll_loss": [228.1527610258494, 624.3598270845375, 14619.938377670094, 0.48083253676378274], "val_target_nll_loss": [130.46695638768657, 582.3043945002594, 30942.935546875, 0.5001946665063689], "da_weight": [1.4, 1.4, 1.4, 1.4], "beta": [0.7, 0.7, 0.7, 0.7], "epoch_no": 4}

src/training/PaperMVE/models/papermve_v15_aug24_0142.json

@@ -0,0 +1 @@
+{"train_DA_loss": [0.03653736191016828, 0.009209594170442039, 0.008412315479140913], "train_regression_loss": [0.09115431567916214, 0.022056718865984974, 0.01355030337243019], "train_mve_loss": [-0.04071601315348714, -0.06744314662308111, -0.049106680622575054], "train_r2_score": [0.7215040729566949, 0.9330135334890204, 0.958897544328718], "val_source_regression_loss": [0.023013218058438242, 0.011273557662115068, 0.010030133549501247], "val_target_regression_loss": [0.024169046643979942, 0.014844986209292201, 0.011166967710928071], "val_source_r2_score": [0.929253850919334, 0.9654931242740555, 0.9694526109549062], "val_target_r2_score": [0.9283459926912732, 0.9552709254972334, 0.9669857157434775], "val_source_mve_loss": [-0.020254432606876274, -0.024769999440523643, -0.1257904851927033], "val_target_mve_loss": [-0.019742279543388117, -0.023863956744817994, -0.1259359176023097], "val_source_nll_loss": [47059.45357001582, 3028.7939003268375, -1.0025491337232952], "val_target_nll_loss": [50122.00182950949, 5815.053711323799, -0.9912795688532576], "da_weight": [1.4, 1.4, 1.4], "beta": [1.0, 0.998, 0.996], "epoch_no": 3}

src/training/PaperMVE/models/papermve_v15_aug24_0142_mve.json

@@ -0,0 +1 @@
+{"train_DA_loss": [0.03653736191016828, 0.009209594170442039, 0.008412315479140913], "train_regression_loss": [0.09115431567916214, 0.022056718865984974, 0.01355030337243019], "train_mve_loss": [-0.04071601315348714, -0.06744314662308111, -0.049106680622575054], "train_r2_score": [0.7215040729566949, 0.9330135334890204, 0.958897544328718], "val_source_regression_loss": [0.023013218058438242, 0.011273557662115068, 0.010030133549501247], "val_target_regression_loss": [0.024169046643979942, 0.014844986209292201, 0.011166967710928071], "val_source_r2_score": [0.929253850919334, 0.9654931242740555, 0.9694526109549062], "val_target_r2_score": [0.9283459926912732, 0.9552709254972334, 0.9669857157434775], "val_source_mve_loss": [-0.020254432606876274, -0.024769999440523643, -0.1257904851927033], "val_target_mve_loss": [-0.019742279543388117, -0.023863956744817994, -0.1259359176023097], "val_source_nll_loss": [47059.45357001582, 3028.7939003268375, -1.0025491337232952], "val_target_nll_loss": [50122.00182950949, 5815.053711323799, -0.9912795688532576], "da_weight": [1.4, 1.4, 1.4], "beta": [1.0, 0.998, 0.996], "epoch_no": 3}

src/training/PaperMVE/models/papermve_v15_aug24_0142_nll.json

@@ -0,0 +1 @@
+{"train_DA_loss": [0.03653736191016828, 0.009209594170442039, 0.008412315479140913], "train_regression_loss": [0.09115431567916214, 0.022056718865984974, 0.01355030337243019], "train_mve_loss": [-0.04071601315348714, -0.06744314662308111, -0.049106680622575054], "train_r2_score": [0.7215040729566949, 0.9330135334890204, 0.958897544328718], "val_source_regression_loss": [0.023013218058438242, 0.011273557662115068, 0.010030133549501247], "val_target_regression_loss": [0.024169046643979942, 0.014844986209292201, 0.011166967710928071], "val_source_r2_score": [0.929253850919334, 0.9654931242740555, 0.9694526109549062], "val_target_r2_score": [0.9283459926912732, 0.9552709254972334, 0.9669857157434775], "val_source_mve_loss": [-0.020254432606876274, -0.024769999440523643, -0.1257904851927033], "val_target_mve_loss": [-0.019742279543388117, -0.023863956744817994, -0.1259359176023097], "val_source_nll_loss": [47059.45357001582, 3028.7939003268375, -1.0025491337232952], "val_target_nll_loss": [50122.00182950949, 5815.053711323799, -0.9912795688532576], "da_weight": [1.4, 1.4, 1.4], "beta": [1.0, 0.998, 0.996], "epoch_no": 3}

src/training/PaperMVE/models/papermve_v15_aug25_0145.json

@@ -0,0 +1 @@
+{"train_DA_loss": [0.09121073628188378, 0.028753968701447603], "train_regression_loss": [0.1599154561328986, 0.026167770561641268], "train_mve_loss": [0.12612002446542628, -0.0578294726641137], "train_r2_score": [0.5117768553150788, 0.9206302763512761], "val_source_regression_loss": [0.031483241463009314, 0.02334308877728785], "val_target_regression_loss": [0.0394103838767432, 0.029139157172433938], "val_source_r2_score": [0.9037100738334453, 0.9285184874395774], "val_target_r2_score": [0.8827389539843247, 0.9123122560582123], "val_source_mve_loss": [-0.04996965905722184, -0.04912958164475387], "val_target_mve_loss": [-0.05573108881900582, -0.041361844839080224], "val_source_nll_loss": [24809.108732199365, 45790.15113231804], "val_target_nll_loss": [27833.77107644383, 60178.473546281646], "da_weight": [1.4, 1.4], "beta": [1.0, 0.998], "epoch_no": 2}

src/training/PaperMVE/models/papermve_v15_aug25_0145_mve.json

@@ -0,0 +1 @@
+{"train_DA_loss": [0.09121073628188378], "train_regression_loss": [0.1599154561328986], "train_mve_loss": [0.12612002446542628], "train_r2_score": [0.5117768553150788], "val_source_regression_loss": [0.031483241463009314], "val_target_regression_loss": [0.0394103838767432], "val_source_r2_score": [0.9037100738334453], "val_target_r2_score": [0.8827389539843247], "val_source_mve_loss": [-0.04996965905722184], "val_target_mve_loss": [-0.05573108881900582], "val_source_nll_loss": [24809.108732199365], "val_target_nll_loss": [27833.77107644383], "da_weight": [1.4], "beta": [1.0], "epoch_no": 1}

src/training/PaperMVE/models/papermve_v15_aug25_0145_nll.json

@@ -0,0 +1 @@
+{"train_DA_loss": [0.09121073628188378], "train_regression_loss": [0.1599154561328986], "train_mve_loss": [0.12612002446542628], "train_r2_score": [0.5117768553150788], "val_source_regression_loss": [0.031483241463009314], "val_target_regression_loss": [0.0394103838767432], "val_source_r2_score": [0.9037100738334453], "val_target_r2_score": [0.8827389539843247], "val_source_mve_loss": [-0.04996965905722184], "val_target_mve_loss": [-0.05573108881900582], "val_source_nll_loss": [24809.108732199365], "val_target_nll_loss": [27833.77107644383], "da_weight": [1.4], "beta": [1.0], "epoch_no": 1}