{ "best_metric": 0.9547889828681946, "best_model_checkpoint": "segformer-finetuned-segments-cmp-facade-outputs-baseline-0.0006/checkpoint-200", "epoch": 50.0, "global_step": 1600, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.03, "learning_rate": 0.000599625, "loss": 2.5686, "step": 1 }, { "epoch": 0.06, "learning_rate": 0.00059925, "loss": 2.3903, "step": 2 }, { "epoch": 0.09, "learning_rate": 0.000598875, "loss": 2.1973, "step": 3 }, { "epoch": 0.12, "learning_rate": 0.0005985, "loss": 1.9997, "step": 4 }, { "epoch": 0.16, "learning_rate": 0.0005981249999999999, "loss": 1.9846, "step": 5 }, { "epoch": 0.19, "learning_rate": 0.00059775, "loss": 1.8746, "step": 6 }, { "epoch": 0.22, "learning_rate": 0.0005973749999999999, "loss": 1.8332, "step": 7 }, { "epoch": 0.25, "learning_rate": 0.000597, "loss": 1.8059, "step": 8 }, { "epoch": 0.28, "learning_rate": 0.0005966249999999999, "loss": 1.6617, "step": 9 }, { "epoch": 0.31, "learning_rate": 0.00059625, "loss": 1.6067, "step": 10 }, { "epoch": 0.34, "learning_rate": 0.0005958749999999999, "loss": 1.5621, "step": 11 }, { "epoch": 0.38, "learning_rate": 0.0005955, "loss": 1.4863, "step": 12 }, { "epoch": 0.41, "learning_rate": 0.000595125, "loss": 1.4005, "step": 13 }, { "epoch": 0.44, "learning_rate": 0.0005947499999999999, "loss": 1.4485, "step": 14 }, { "epoch": 0.47, "learning_rate": 0.000594375, "loss": 1.3887, "step": 15 }, { "epoch": 0.5, "learning_rate": 0.0005939999999999999, "loss": 1.5758, "step": 16 }, { "epoch": 0.53, "learning_rate": 0.000593625, "loss": 1.3851, "step": 17 }, { "epoch": 0.56, "learning_rate": 0.0005932499999999999, "loss": 1.3992, "step": 18 }, { "epoch": 0.59, "learning_rate": 0.000592875, "loss": 1.3758, "step": 19 }, { "epoch": 0.62, "learning_rate": 0.0005924999999999999, "loss": 1.3587, "step": 20 }, { "epoch": 0.62, "eval_loss": 1.6255974769592285, "eval_mean_accuracy": 0.3141481516866101, "eval_mean_iou": 0.18315948364422277, "eval_overall_accuracy": 0.5485008306670607, "eval_per_category_accuracy": [ 0.6488692748813196, 0.5616440349622522, 0.7688431729015686, 0.0, 0.39402196484247587, 0.003442343915017475, 0.2774663897762572, 6.214434416823545e-05, 0.0003349511548051072, 0.7398100827126451, 0.0, 0.37528346074881097 ], "eval_per_category_iou": [ 0.4772592315619872, 0.44317885541602603, 0.45610220048891476, 0.0, 0.16838871775158482, 0.00343126703650311, 0.1752659085145423, 6.214374491064158e-05, 0.0003344066828185833, 0.3009429801158851, 0.0, 0.172948092417501 ], "eval_runtime": 121.8515, "eval_samples_per_second": 0.936, "eval_steps_per_second": 0.082, "step": 20 }, { "epoch": 0.66, "learning_rate": 0.0005921249999999999, "loss": 1.3857, "step": 21 }, { "epoch": 0.69, "learning_rate": 0.0005917499999999999, "loss": 1.2941, "step": 22 }, { "epoch": 0.72, "learning_rate": 0.0005913749999999999, "loss": 1.2736, "step": 23 }, { "epoch": 0.75, "learning_rate": 0.0005909999999999999, "loss": 1.2626, "step": 24 }, { "epoch": 0.78, "learning_rate": 0.0005906249999999999, "loss": 1.2018, "step": 25 }, { "epoch": 0.81, "learning_rate": 0.00059025, "loss": 1.2629, "step": 26 }, { "epoch": 0.84, "learning_rate": 0.000589875, "loss": 1.1944, "step": 27 }, { "epoch": 0.88, "learning_rate": 0.0005895, "loss": 1.1597, "step": 28 }, { "epoch": 0.91, "learning_rate": 0.000589125, "loss": 1.1822, "step": 29 }, { "epoch": 0.94, "learning_rate": 0.00058875, "loss": 1.1729, "step": 30 }, { "epoch": 0.97, "learning_rate": 0.0005883749999999999, "loss": 1.0742, "step": 31 }, { "epoch": 1.0, "learning_rate": 0.000588, "loss": 1.3135, "step": 32 }, { "epoch": 1.03, "learning_rate": 0.0005876249999999999, "loss": 1.2218, "step": 33 }, { "epoch": 1.06, "learning_rate": 0.00058725, "loss": 1.2487, "step": 34 }, { "epoch": 1.09, "learning_rate": 0.0005868749999999999, "loss": 0.9779, "step": 35 }, { "epoch": 1.12, "learning_rate": 0.0005865, "loss": 1.0848, "step": 36 }, { "epoch": 1.16, "learning_rate": 0.000586125, "loss": 1.0201, "step": 37 }, { "epoch": 1.19, "learning_rate": 0.0005857499999999999, "loss": 1.0673, "step": 38 }, { "epoch": 1.22, "learning_rate": 0.000585375, "loss": 1.1126, "step": 39 }, { "epoch": 1.25, "learning_rate": 0.0005849999999999999, "loss": 1.1272, "step": 40 }, { "epoch": 1.25, "eval_loss": 1.1469159126281738, "eval_mean_accuracy": 0.33231376608612845, "eval_mean_iou": 0.23972121192053034, "eval_overall_accuracy": 0.6103959334524054, "eval_per_category_accuracy": [ 0.7301639814634119, 0.725317008517752, 0.6197514067158824, 0.0, 0.41723881549491804, 0.32015068647269534, 0.43180497804452184, 0.00046179676442257726, 0.005066413493873278, 0.5026867658203124, 0.0, 0.23512334024575196 ], "eval_per_category_iou": [ 0.5087072250192229, 0.4908826565456839, 0.4917530621343207, 0.0, 0.2615037685634764, 0.2381227460211199, 0.32305258576467477, 0.00046177400501630137, 0.0050433565260017705, 0.36085494098019893, 0.0, 0.1962724274866488 ], "eval_runtime": 120.0026, "eval_samples_per_second": 0.95, "eval_steps_per_second": 0.083, "step": 40 }, { "epoch": 1.28, "learning_rate": 0.000584625, "loss": 1.0215, "step": 41 }, { "epoch": 1.31, "learning_rate": 0.0005842499999999999, "loss": 1.0141, "step": 42 }, { "epoch": 1.34, "learning_rate": 0.000583875, "loss": 1.1439, "step": 43 }, { "epoch": 1.38, "learning_rate": 0.0005834999999999999, "loss": 1.1585, "step": 44 }, { "epoch": 1.41, "learning_rate": 0.000583125, "loss": 0.9521, "step": 45 }, { "epoch": 1.44, "learning_rate": 0.0005827499999999999, "loss": 1.046, "step": 46 }, { "epoch": 1.47, "learning_rate": 0.0005823749999999999, "loss": 0.959, "step": 47 }, { "epoch": 1.5, "learning_rate": 0.0005819999999999999, "loss": 1.0224, "step": 48 }, { "epoch": 1.53, "learning_rate": 0.0005816249999999999, "loss": 1.0171, "step": 49 }, { "epoch": 1.56, "learning_rate": 0.00058125, "loss": 0.8845, "step": 50 }, { "epoch": 1.59, "learning_rate": 0.000580875, "loss": 1.0473, "step": 51 }, { "epoch": 1.62, "learning_rate": 0.0005805, "loss": 0.8508, "step": 52 }, { "epoch": 1.66, "learning_rate": 0.000580125, "loss": 0.9726, "step": 53 }, { "epoch": 1.69, "learning_rate": 0.00057975, "loss": 1.0182, "step": 54 }, { "epoch": 1.72, "learning_rate": 0.0005793749999999999, "loss": 1.0579, "step": 55 }, { "epoch": 1.75, "learning_rate": 0.000579, "loss": 0.9741, "step": 56 }, { "epoch": 1.78, "learning_rate": 0.0005786249999999999, "loss": 1.0505, "step": 57 }, { "epoch": 1.81, "learning_rate": 0.00057825, "loss": 0.9772, "step": 58 }, { "epoch": 1.84, "learning_rate": 0.0005778749999999999, "loss": 0.8138, "step": 59 }, { "epoch": 1.88, "learning_rate": 0.0005775, "loss": 1.0172, "step": 60 }, { "epoch": 1.88, "eval_loss": 1.1332030296325684, "eval_mean_accuracy": 0.3450738777433666, "eval_mean_iou": 0.24995460216123477, "eval_overall_accuracy": 0.6090325472647684, "eval_per_category_accuracy": [ 0.7712100807932455, 0.7139090190445223, 0.4965342527006462, 0.0, 0.36147785586509107, 0.4176468666867485, 0.3385701622768831, 0.0021118362475102083, 0.05396040921714595, 0.5883826780663631, 0.0, 0.39708337202224353 ], "eval_per_category_iou": [ 0.5314603901384262, 0.48318539289384677, 0.4269313528486642, 0.0, 0.2673354998494226, 0.29045614876418957, 0.30780775407728883, 0.0021117366918267967, 0.05081000242290565, 0.3810971242949915, 0.0, 0.2582598239532546 ], "eval_runtime": 121.0254, "eval_samples_per_second": 0.942, "eval_steps_per_second": 0.083, "step": 60 }, { "epoch": 1.91, "learning_rate": 0.000577125, "loss": 0.9949, "step": 61 }, { "epoch": 1.94, "learning_rate": 0.00057675, "loss": 1.0874, "step": 62 }, { "epoch": 1.97, "learning_rate": 0.000576375, "loss": 0.9226, "step": 63 }, { "epoch": 2.0, "learning_rate": 0.0005759999999999999, "loss": 1.0359, "step": 64 }, { "epoch": 2.03, "learning_rate": 0.000575625, "loss": 1.0029, "step": 65 }, { "epoch": 2.06, "learning_rate": 0.0005752499999999999, "loss": 0.9346, "step": 66 }, { "epoch": 2.09, "learning_rate": 0.000574875, "loss": 0.8542, "step": 67 }, { "epoch": 2.12, "learning_rate": 0.0005744999999999999, "loss": 0.8286, "step": 68 }, { "epoch": 2.16, "learning_rate": 0.000574125, "loss": 0.8975, "step": 69 }, { "epoch": 2.19, "learning_rate": 0.0005737499999999999, "loss": 0.8509, "step": 70 }, { "epoch": 2.22, "learning_rate": 0.0005733749999999999, "loss": 1.1385, "step": 71 }, { "epoch": 2.25, "learning_rate": 0.0005729999999999999, "loss": 0.9216, "step": 72 }, { "epoch": 2.28, "learning_rate": 0.0005726249999999999, "loss": 0.8162, "step": 73 }, { "epoch": 2.31, "learning_rate": 0.00057225, "loss": 0.8909, "step": 74 }, { "epoch": 2.34, "learning_rate": 0.0005718749999999999, "loss": 0.8444, "step": 75 }, { "epoch": 2.38, "learning_rate": 0.0005715, "loss": 0.8338, "step": 76 }, { "epoch": 2.41, "learning_rate": 0.000571125, "loss": 0.9097, "step": 77 }, { "epoch": 2.44, "learning_rate": 0.00057075, "loss": 0.8778, "step": 78 }, { "epoch": 2.47, "learning_rate": 0.000570375, "loss": 0.826, "step": 79 }, { "epoch": 2.5, "learning_rate": 0.00057, "loss": 0.8466, "step": 80 }, { "epoch": 2.5, "eval_loss": 1.0760297775268555, "eval_mean_accuracy": 0.3748513935505046, "eval_mean_iou": 0.2710584212101326, "eval_overall_accuracy": 0.629409488878752, "eval_per_category_accuracy": [ 0.5097210774762599, 0.8349397933225571, 0.7631626631252534, 0.01862582494222802, 0.5251667824807995, 0.4123753806176258, 0.5182476867632634, 0.0734942586126168, 0.21476358215841637, 0.4348659433460887, 6.121580714572117e-05, 0.1927925139538003 ], "eval_per_category_iou": [ 0.4536359079066772, 0.5416200722229393, 0.5074160392719198, 0.018448954341587477, 0.3023435103552763, 0.2943501851580806, 0.37784273527034967, 0.07253092131072308, 0.1504312441054501, 0.36153117043491534, 6.11807892321811e-05, 0.1724891333544405 ], "eval_runtime": 121.6607, "eval_samples_per_second": 0.937, "eval_steps_per_second": 0.082, "step": 80 }, { "epoch": 2.53, "learning_rate": 0.0005696249999999999, "loss": 0.8429, "step": 81 }, { "epoch": 2.56, "learning_rate": 0.00056925, "loss": 0.9725, "step": 82 }, { "epoch": 2.59, "learning_rate": 0.0005688749999999999, "loss": 0.8059, "step": 83 }, { "epoch": 2.62, "learning_rate": 0.0005685, "loss": 0.8261, "step": 84 }, { "epoch": 2.66, "learning_rate": 0.0005681249999999999, "loss": 0.9101, "step": 85 }, { "epoch": 2.69, "learning_rate": 0.00056775, "loss": 0.8387, "step": 86 }, { "epoch": 2.72, "learning_rate": 0.000567375, "loss": 0.8772, "step": 87 }, { "epoch": 2.75, "learning_rate": 0.0005669999999999999, "loss": 0.8313, "step": 88 }, { "epoch": 2.78, "learning_rate": 0.000566625, "loss": 0.9802, "step": 89 }, { "epoch": 2.81, "learning_rate": 0.0005662499999999999, "loss": 0.7859, "step": 90 }, { "epoch": 2.84, "learning_rate": 0.000565875, "loss": 0.8676, "step": 91 }, { "epoch": 2.88, "learning_rate": 0.0005654999999999999, "loss": 0.8232, "step": 92 }, { "epoch": 2.91, "learning_rate": 0.000565125, "loss": 1.058, "step": 93 }, { "epoch": 2.94, "learning_rate": 0.0005647499999999999, "loss": 0.8119, "step": 94 }, { "epoch": 2.97, "learning_rate": 0.000564375, "loss": 0.8982, "step": 95 }, { "epoch": 3.0, "learning_rate": 0.0005639999999999999, "loss": 0.8573, "step": 96 }, { "epoch": 3.03, "learning_rate": 0.0005636249999999999, "loss": 0.9197, "step": 97 }, { "epoch": 3.06, "learning_rate": 0.00056325, "loss": 0.7869, "step": 98 }, { "epoch": 3.09, "learning_rate": 0.0005628749999999999, "loss": 0.8251, "step": 99 }, { "epoch": 3.12, "learning_rate": 0.0005625, "loss": 0.783, "step": 100 }, { "epoch": 3.12, "eval_loss": 1.0092662572860718, "eval_mean_accuracy": 0.4518619118027695, "eval_mean_iou": 0.33203451682727503, "eval_overall_accuracy": 0.6477740438360917, "eval_per_category_accuracy": [ 0.5939408516675014, 0.7672641764327048, 0.7242871112894247, 0.10601938917842346, 0.43050848144373965, 0.378661459902228, 0.6076991383124275, 0.3051908742102043, 0.3373557048170856, 0.5822127392807093, 0.09827891758209804, 0.4909240975166878 ], "eval_per_category_iou": [ 0.5037467823030373, 0.538253245468685, 0.54696085927042, 0.0946461649020859, 0.32235906973357464, 0.2939849677023971, 0.4017418411370106, 0.2796837089281629, 0.21670437900040468, 0.38832214494282197, 0.07600716776305667, 0.3220038707756439 ], "eval_runtime": 121.7376, "eval_samples_per_second": 0.936, "eval_steps_per_second": 0.082, "step": 100 }, { "epoch": 3.16, "learning_rate": 0.0005621249999999999, "loss": 0.8053, "step": 101 }, { "epoch": 3.19, "learning_rate": 0.00056175, "loss": 0.8289, "step": 102 }, { "epoch": 3.22, "learning_rate": 0.000561375, "loss": 0.8684, "step": 103 }, { "epoch": 3.25, "learning_rate": 0.000561, "loss": 0.824, "step": 104 }, { "epoch": 3.28, "learning_rate": 0.0005606249999999999, "loss": 0.7919, "step": 105 }, { "epoch": 3.31, "learning_rate": 0.00056025, "loss": 0.8915, "step": 106 }, { "epoch": 3.34, "learning_rate": 0.0005598749999999999, "loss": 0.7168, "step": 107 }, { "epoch": 3.38, "learning_rate": 0.0005595, "loss": 0.7627, "step": 108 }, { "epoch": 3.41, "learning_rate": 0.0005591249999999999, "loss": 0.713, "step": 109 }, { "epoch": 3.44, "learning_rate": 0.00055875, "loss": 0.7279, "step": 110 }, { "epoch": 3.47, "learning_rate": 0.000558375, "loss": 0.7056, "step": 111 }, { "epoch": 3.5, "learning_rate": 0.000558, "loss": 0.7856, "step": 112 }, { "epoch": 3.53, "learning_rate": 0.000557625, "loss": 0.7288, "step": 113 }, { "epoch": 3.56, "learning_rate": 0.0005572499999999999, "loss": 0.8074, "step": 114 }, { "epoch": 3.59, "learning_rate": 0.000556875, "loss": 0.7689, "step": 115 }, { "epoch": 3.62, "learning_rate": 0.0005564999999999999, "loss": 0.826, "step": 116 }, { "epoch": 3.66, "learning_rate": 0.000556125, "loss": 0.731, "step": 117 }, { "epoch": 3.69, "learning_rate": 0.0005557499999999999, "loss": 0.776, "step": 118 }, { "epoch": 3.72, "learning_rate": 0.000555375, "loss": 0.7384, "step": 119 }, { "epoch": 3.75, "learning_rate": 0.0005549999999999999, "loss": 0.6941, "step": 120 }, { "epoch": 3.75, "eval_loss": 1.0103007555007935, "eval_mean_accuracy": 0.4756915065746894, "eval_mean_iou": 0.3391343323864871, "eval_overall_accuracy": 0.6493041055244312, "eval_per_category_accuracy": [ 0.7335339765251577, 0.6849779444566702, 0.7191242307256597, 0.21663971797558657, 0.4872276932863594, 0.40480294985464854, 0.7152266633498596, 0.41164092140776226, 0.37097947703255457, 0.5582396846498912, 0.052777208130683505, 0.35312761150143923 ], "eval_per_category_iou": [ 0.5505120083172355, 0.5221275640424796, 0.5487694248053927, 0.15022159345180522, 0.3363354250080763, 0.3098512123030424, 0.37734158772772125, 0.3371687893170074, 0.1947684270226897, 0.3947398604106545, 0.04745601312244219, 0.30032008310929853 ], "eval_runtime": 120.5562, "eval_samples_per_second": 0.946, "eval_steps_per_second": 0.083, "step": 120 }, { "epoch": 3.78, "learning_rate": 0.0005546249999999999, "loss": 0.7105, "step": 121 }, { "epoch": 3.81, "learning_rate": 0.00055425, "loss": 0.8228, "step": 122 }, { "epoch": 3.84, "learning_rate": 0.0005538749999999999, "loss": 0.7552, "step": 123 }, { "epoch": 3.88, "learning_rate": 0.0005535, "loss": 0.877, "step": 124 }, { "epoch": 3.91, "learning_rate": 0.0005531249999999999, "loss": 0.8001, "step": 125 }, { "epoch": 3.94, "learning_rate": 0.00055275, "loss": 0.828, "step": 126 }, { "epoch": 3.97, "learning_rate": 0.0005523749999999999, "loss": 0.8079, "step": 127 }, { "epoch": 4.0, "learning_rate": 0.000552, "loss": 0.855, "step": 128 }, { "epoch": 4.03, "learning_rate": 0.000551625, "loss": 0.8755, "step": 129 }, { "epoch": 4.06, "learning_rate": 0.0005512499999999999, "loss": 0.8063, "step": 130 }, { "epoch": 4.09, "learning_rate": 0.0005508749999999999, "loss": 0.5529, "step": 131 }, { "epoch": 4.12, "learning_rate": 0.0005505, "loss": 0.8243, "step": 132 }, { "epoch": 4.16, "learning_rate": 0.0005501249999999999, "loss": 0.6746, "step": 133 }, { "epoch": 4.19, "learning_rate": 0.00054975, "loss": 0.9177, "step": 134 }, { "epoch": 4.22, "learning_rate": 0.000549375, "loss": 0.7125, "step": 135 }, { "epoch": 4.25, "learning_rate": 0.000549, "loss": 0.8089, "step": 136 }, { "epoch": 4.28, "learning_rate": 0.000548625, "loss": 0.8293, "step": 137 }, { "epoch": 4.31, "learning_rate": 0.0005482499999999999, "loss": 0.7055, "step": 138 }, { "epoch": 4.34, "learning_rate": 0.000547875, "loss": 0.6936, "step": 139 }, { "epoch": 4.38, "learning_rate": 0.0005474999999999999, "loss": 0.7125, "step": 140 }, { "epoch": 4.38, "eval_loss": 0.9963582158088684, "eval_mean_accuracy": 0.48408195145164323, "eval_mean_iou": 0.3450134720578326, "eval_overall_accuracy": 0.6522797032406455, "eval_per_category_accuracy": [ 0.7072444908656982, 0.7263543410072708, 0.5920856376726774, 0.15527303766108494, 0.527573555480372, 0.5846359317555773, 0.6484084836786329, 0.4228011884570095, 0.22752056289539763, 0.5662632128222072, 0.07395481661274575, 0.5768681585110444 ], "eval_per_category_iou": [ 0.5488723081193907, 0.5312308684382402, 0.5141246717540758, 0.13968224240721666, 0.3491042953338633, 0.35387946042663687, 0.4041945008639172, 0.32553414229110106, 0.16599826506897644, 0.4057974643708637, 0.0649149673571371, 0.336828478262572 ], "eval_runtime": 120.3417, "eval_samples_per_second": 0.947, "eval_steps_per_second": 0.083, "step": 140 }, { "epoch": 4.41, "learning_rate": 0.000547125, "loss": 0.7107, "step": 141 }, { "epoch": 4.44, "learning_rate": 0.0005467499999999999, "loss": 0.7305, "step": 142 }, { "epoch": 4.47, "learning_rate": 0.000546375, "loss": 0.7128, "step": 143 }, { "epoch": 4.5, "learning_rate": 0.0005459999999999999, "loss": 0.7267, "step": 144 }, { "epoch": 4.53, "learning_rate": 0.000545625, "loss": 0.7552, "step": 145 }, { "epoch": 4.56, "learning_rate": 0.0005452499999999999, "loss": 0.6716, "step": 146 }, { "epoch": 4.59, "learning_rate": 0.0005448749999999999, "loss": 0.8395, "step": 147 }, { "epoch": 4.62, "learning_rate": 0.0005445, "loss": 0.6889, "step": 148 }, { "epoch": 4.66, "learning_rate": 0.0005441249999999999, "loss": 0.7029, "step": 149 }, { "epoch": 4.69, "learning_rate": 0.00054375, "loss": 0.817, "step": 150 }, { "epoch": 4.72, "learning_rate": 0.0005433749999999999, "loss": 0.6999, "step": 151 }, { "epoch": 4.75, "learning_rate": 0.000543, "loss": 0.7728, "step": 152 }, { "epoch": 4.78, "learning_rate": 0.000542625, "loss": 0.7724, "step": 153 }, { "epoch": 4.81, "learning_rate": 0.00054225, "loss": 0.8145, "step": 154 }, { "epoch": 4.84, "learning_rate": 0.0005418749999999999, "loss": 0.7165, "step": 155 }, { "epoch": 4.88, "learning_rate": 0.0005414999999999999, "loss": 0.6526, "step": 156 }, { "epoch": 4.91, "learning_rate": 0.0005411249999999999, "loss": 0.7235, "step": 157 }, { "epoch": 4.94, "learning_rate": 0.00054075, "loss": 0.7316, "step": 158 }, { "epoch": 4.97, "learning_rate": 0.000540375, "loss": 0.7012, "step": 159 }, { "epoch": 5.0, "learning_rate": 0.00054, "loss": 0.7644, "step": 160 }, { "epoch": 5.0, "eval_loss": 0.9798843860626221, "eval_mean_accuracy": 0.4789239253628546, "eval_mean_iou": 0.3599116146321528, "eval_overall_accuracy": 0.6647834108586896, "eval_per_category_accuracy": [ 0.5731060591042803, 0.8157629264757552, 0.7355228611483893, 0.23873533146890027, 0.5446721784739682, 0.5222981138786161, 0.5353058888544263, 0.4231504825294034, 0.29340390229186447, 0.5527727955246821, 0.14528959667965463, 0.36706696792431415 ], "eval_per_category_iou": [ 0.5072616266412792, 0.5572558530924372, 0.5665812265091772, 0.19904648390941598, 0.34126626496389373, 0.3523336548678199, 0.4169797089718354, 0.36311888106744344, 0.19641239624014376, 0.4094302245894939, 0.11159881978158906, 0.2976542349513052 ], "eval_runtime": 120.1425, "eval_samples_per_second": 0.949, "eval_steps_per_second": 0.083, "step": 160 }, { "epoch": 5.03, "learning_rate": 0.000539625, "loss": 0.6204, "step": 161 }, { "epoch": 5.06, "learning_rate": 0.00053925, "loss": 0.6766, "step": 162 }, { "epoch": 5.09, "learning_rate": 0.000538875, "loss": 0.662, "step": 163 }, { "epoch": 5.12, "learning_rate": 0.0005384999999999999, "loss": 0.7268, "step": 164 }, { "epoch": 5.16, "learning_rate": 0.000538125, "loss": 0.5879, "step": 165 }, { "epoch": 5.19, "learning_rate": 0.0005377499999999999, "loss": 0.7585, "step": 166 }, { "epoch": 5.22, "learning_rate": 0.000537375, "loss": 0.6846, "step": 167 }, { "epoch": 5.25, "learning_rate": 0.0005369999999999999, "loss": 0.6442, "step": 168 }, { "epoch": 5.28, "learning_rate": 0.000536625, "loss": 0.6522, "step": 169 }, { "epoch": 5.31, "learning_rate": 0.0005362499999999999, "loss": 0.6976, "step": 170 }, { "epoch": 5.34, "learning_rate": 0.0005358749999999999, "loss": 0.7117, "step": 171 }, { "epoch": 5.38, "learning_rate": 0.0005355, "loss": 0.7123, "step": 172 }, { "epoch": 5.41, "learning_rate": 0.0005351249999999999, "loss": 0.7688, "step": 173 }, { "epoch": 5.44, "learning_rate": 0.00053475, "loss": 0.6922, "step": 174 }, { "epoch": 5.47, "learning_rate": 0.0005343749999999999, "loss": 0.6724, "step": 175 }, { "epoch": 5.5, "learning_rate": 0.000534, "loss": 0.7095, "step": 176 }, { "epoch": 5.53, "learning_rate": 0.0005336249999999999, "loss": 0.8182, "step": 177 }, { "epoch": 5.56, "learning_rate": 0.00053325, "loss": 0.6316, "step": 178 }, { "epoch": 5.59, "learning_rate": 0.000532875, "loss": 0.6601, "step": 179 }, { "epoch": 5.62, "learning_rate": 0.0005324999999999999, "loss": 0.6728, "step": 180 }, { "epoch": 5.62, "eval_loss": 0.9665025472640991, "eval_mean_accuracy": 0.47597824341463396, "eval_mean_iou": 0.35415269637901653, "eval_overall_accuracy": 0.6696545450310958, "eval_per_category_accuracy": [ 0.658208933526517, 0.7669225220721168, 0.7575903018999617, 0.1655887190234627, 0.5932391558466553, 0.3657776213167646, 0.5939283538193401, 0.30520908893177084, 0.3045304916461851, 0.6047843885423767, 0.10483819131776208, 0.4911211530326947 ], "eval_per_category_iou": [ 0.5480879206551327, 0.5553860439192433, 0.5557114007818262, 0.15048023258013862, 0.3592312571075963, 0.2947221901368397, 0.4306816722276294, 0.28278529443006634, 0.21869046329512365, 0.4231944375509108, 0.09075084320494715, 0.34011060065874554 ], "eval_runtime": 120.9628, "eval_samples_per_second": 0.942, "eval_steps_per_second": 0.083, "step": 180 }, { "epoch": 5.66, "learning_rate": 0.0005321249999999999, "loss": 0.6799, "step": 181 }, { "epoch": 5.69, "learning_rate": 0.00053175, "loss": 0.6823, "step": 182 }, { "epoch": 5.72, "learning_rate": 0.000531375, "loss": 0.7729, "step": 183 }, { "epoch": 5.75, "learning_rate": 0.000531, "loss": 0.638, "step": 184 }, { "epoch": 5.78, "learning_rate": 0.000530625, "loss": 0.688, "step": 185 }, { "epoch": 5.81, "learning_rate": 0.00053025, "loss": 0.6704, "step": 186 }, { "epoch": 5.84, "learning_rate": 0.000529875, "loss": 0.5638, "step": 187 }, { "epoch": 5.88, "learning_rate": 0.0005294999999999999, "loss": 0.6177, "step": 188 }, { "epoch": 5.91, "learning_rate": 0.000529125, "loss": 0.672, "step": 189 }, { "epoch": 5.94, "learning_rate": 0.0005287499999999999, "loss": 0.7459, "step": 190 }, { "epoch": 5.97, "learning_rate": 0.000528375, "loss": 0.7019, "step": 191 }, { "epoch": 6.0, "learning_rate": 0.0005279999999999999, "loss": 0.5613, "step": 192 }, { "epoch": 6.03, "learning_rate": 0.000527625, "loss": 0.6292, "step": 193 }, { "epoch": 6.06, "learning_rate": 0.0005272499999999999, "loss": 0.6222, "step": 194 }, { "epoch": 6.09, "learning_rate": 0.000526875, "loss": 0.5749, "step": 195 }, { "epoch": 6.12, "learning_rate": 0.0005265, "loss": 0.6755, "step": 196 }, { "epoch": 6.16, "learning_rate": 0.0005261249999999999, "loss": 0.618, "step": 197 }, { "epoch": 6.19, "learning_rate": 0.00052575, "loss": 0.6044, "step": 198 }, { "epoch": 6.22, "learning_rate": 0.0005253749999999999, "loss": 0.6677, "step": 199 }, { "epoch": 6.25, "learning_rate": 0.000525, "loss": 0.704, "step": 200 }, { "epoch": 6.25, "eval_loss": 0.9547889828681946, "eval_mean_accuracy": 0.5432725380717788, "eval_mean_iou": 0.3815082719789144, "eval_overall_accuracy": 0.6700487638774671, "eval_per_category_accuracy": [ 0.7256938555518796, 0.7108576559277031, 0.7035051829979063, 0.29511939542404286, 0.5846675594146761, 0.5089878383822254, 0.646818305625924, 0.43729474955293574, 0.4849826535229763, 0.5611655812337896, 0.293272688873721, 0.566904990353565 ], "eval_per_category_iou": [ 0.5812467494831517, 0.5482754384827201, 0.5501083753603029, 0.23335839200171204, 0.3699939230925049, 0.3534576834188965, 0.4296805995484874, 0.3685008401449329, 0.21395048439181916, 0.4146264956148413, 0.16240302785306165, 0.3524972543545424 ], "eval_runtime": 120.5907, "eval_samples_per_second": 0.945, "eval_steps_per_second": 0.083, "step": 200 }, { "epoch": 6.28, "learning_rate": 0.0005246249999999999, "loss": 0.6344, "step": 201 }, { "epoch": 6.31, "learning_rate": 0.00052425, "loss": 0.6519, "step": 202 }, { "epoch": 6.34, "learning_rate": 0.0005238749999999999, "loss": 0.6823, "step": 203 }, { "epoch": 6.38, "learning_rate": 0.0005235, "loss": 0.6326, "step": 204 }, { "epoch": 6.41, "learning_rate": 0.0005231249999999999, "loss": 0.6317, "step": 205 }, { "epoch": 6.44, "learning_rate": 0.0005227499999999999, "loss": 0.6645, "step": 206 }, { "epoch": 6.47, "learning_rate": 0.0005223749999999999, "loss": 0.5607, "step": 207 }, { "epoch": 6.5, "learning_rate": 0.000522, "loss": 0.6568, "step": 208 }, { "epoch": 6.53, "learning_rate": 0.000521625, "loss": 0.6128, "step": 209 }, { "epoch": 6.56, "learning_rate": 0.00052125, "loss": 0.6798, "step": 210 }, { "epoch": 6.59, "learning_rate": 0.000520875, "loss": 0.541, "step": 211 }, { "epoch": 6.62, "learning_rate": 0.0005205, "loss": 0.7654, "step": 212 }, { "epoch": 6.66, "learning_rate": 0.000520125, "loss": 0.4971, "step": 213 }, { "epoch": 6.69, "learning_rate": 0.0005197499999999999, "loss": 0.5991, "step": 214 }, { "epoch": 6.72, "learning_rate": 0.000519375, "loss": 0.6807, "step": 215 }, { "epoch": 6.75, "learning_rate": 0.0005189999999999999, "loss": 0.6202, "step": 216 }, { "epoch": 6.78, "learning_rate": 0.000518625, "loss": 0.6998, "step": 217 }, { "epoch": 6.81, "learning_rate": 0.0005182499999999999, "loss": 0.6515, "step": 218 }, { "epoch": 6.84, "learning_rate": 0.000517875, "loss": 0.6392, "step": 219 }, { "epoch": 6.88, "learning_rate": 0.0005175, "loss": 0.5244, "step": 220 }, { "epoch": 6.88, "eval_loss": 0.9732311367988586, "eval_mean_accuracy": 0.5190252675707585, "eval_mean_iou": 0.37072453530870725, "eval_overall_accuracy": 0.6681206686454907, "eval_per_category_accuracy": [ 0.7338891842835178, 0.7097288868357648, 0.7076853099740072, 0.3548032282912679, 0.6012819915438801, 0.5101147206021652, 0.5778423645475314, 0.49800655944267236, 0.36301828700212063, 0.6331348139447919, 0.10758984184896224, 0.4312080225324213 ], "eval_per_category_iou": [ 0.5701632769051872, 0.5415899026405016, 0.5645307413899069, 0.2206872588205841, 0.3573009062629415, 0.35439027772524995, 0.3834653201038341, 0.3842033522268411, 0.21110496232687195, 0.42611516905105984, 0.09413286415527866, 0.3410103920962303 ], "eval_runtime": 121.2246, "eval_samples_per_second": 0.94, "eval_steps_per_second": 0.082, "step": 220 }, { "epoch": 6.91, "learning_rate": 0.0005171249999999999, "loss": 0.6746, "step": 221 }, { "epoch": 6.94, "learning_rate": 0.00051675, "loss": 0.6267, "step": 222 }, { "epoch": 6.97, "learning_rate": 0.0005163749999999999, "loss": 0.5898, "step": 223 }, { "epoch": 7.0, "learning_rate": 0.000516, "loss": 0.5663, "step": 224 }, { "epoch": 7.03, "learning_rate": 0.0005156249999999999, "loss": 0.7091, "step": 225 }, { "epoch": 7.06, "learning_rate": 0.00051525, "loss": 0.5594, "step": 226 }, { "epoch": 7.09, "learning_rate": 0.0005148749999999999, "loss": 0.6431, "step": 227 }, { "epoch": 7.12, "learning_rate": 0.0005145, "loss": 0.5699, "step": 228 }, { "epoch": 7.16, "learning_rate": 0.0005141249999999999, "loss": 0.5724, "step": 229 }, { "epoch": 7.19, "learning_rate": 0.0005137499999999999, "loss": 0.6459, "step": 230 }, { "epoch": 7.22, "learning_rate": 0.0005133749999999999, "loss": 0.6204, "step": 231 }, { "epoch": 7.25, "learning_rate": 0.0005129999999999999, "loss": 0.5749, "step": 232 }, { "epoch": 7.28, "learning_rate": 0.000512625, "loss": 0.5592, "step": 233 }, { "epoch": 7.31, "learning_rate": 0.00051225, "loss": 0.5161, "step": 234 }, { "epoch": 7.34, "learning_rate": 0.000511875, "loss": 0.6087, "step": 235 }, { "epoch": 7.38, "learning_rate": 0.0005115, "loss": 0.5574, "step": 236 }, { "epoch": 7.41, "learning_rate": 0.000511125, "loss": 0.5837, "step": 237 }, { "epoch": 7.44, "learning_rate": 0.0005107499999999999, "loss": 0.6824, "step": 238 }, { "epoch": 7.47, "learning_rate": 0.000510375, "loss": 0.6023, "step": 239 }, { "epoch": 7.5, "learning_rate": 0.0005099999999999999, "loss": 0.5475, "step": 240 }, { "epoch": 7.5, "eval_loss": 1.0112754106521606, "eval_mean_accuracy": 0.49948921620422193, "eval_mean_iou": 0.37079604232386026, "eval_overall_accuracy": 0.6726983388264974, "eval_per_category_accuracy": [ 0.583102389554102, 0.8353006889840965, 0.6556883997695494, 0.33851604083247167, 0.5812701197511381, 0.5531648877291417, 0.595624018930991, 0.5104322139136901, 0.3197519143234874, 0.5198379439239663, 0.07253154909660772, 0.42865042764142086 ], "eval_per_category_iou": [ 0.5216569916948373, 0.5698887704473066, 0.5512999870681475, 0.24047394276108386, 0.3687004459065267, 0.36736644211185965, 0.4299937429210045, 0.37814350961805593, 0.20937927588480856, 0.40461653626223026, 0.06787054274667048, 0.34016232046379147 ], "eval_runtime": 121.1674, "eval_samples_per_second": 0.941, "eval_steps_per_second": 0.083, "step": 240 }, { "epoch": 7.53, "learning_rate": 0.000509625, "loss": 0.5618, "step": 241 }, { "epoch": 7.56, "learning_rate": 0.0005092499999999999, "loss": 0.5768, "step": 242 }, { "epoch": 7.59, "learning_rate": 0.000508875, "loss": 0.605, "step": 243 }, { "epoch": 7.62, "learning_rate": 0.0005085, "loss": 0.565, "step": 244 }, { "epoch": 7.66, "learning_rate": 0.000508125, "loss": 0.6199, "step": 245 }, { "epoch": 7.69, "learning_rate": 0.00050775, "loss": 0.4687, "step": 246 }, { "epoch": 7.72, "learning_rate": 0.0005073749999999999, "loss": 0.5892, "step": 247 }, { "epoch": 7.75, "learning_rate": 0.000507, "loss": 0.6484, "step": 248 }, { "epoch": 7.78, "learning_rate": 0.0005066249999999999, "loss": 0.596, "step": 249 }, { "epoch": 7.81, "learning_rate": 0.00050625, "loss": 0.5773, "step": 250 }, { "epoch": 7.84, "learning_rate": 0.0005058749999999999, "loss": 0.6027, "step": 251 }, { "epoch": 7.88, "learning_rate": 0.0005055, "loss": 0.5894, "step": 252 }, { "epoch": 7.91, "learning_rate": 0.0005051249999999999, "loss": 0.6463, "step": 253 }, { "epoch": 7.94, "learning_rate": 0.00050475, "loss": 0.5688, "step": 254 }, { "epoch": 7.97, "learning_rate": 0.0005043749999999999, "loss": 0.5924, "step": 255 }, { "epoch": 8.0, "learning_rate": 0.0005039999999999999, "loss": 0.6616, "step": 256 }, { "epoch": 8.03, "learning_rate": 0.000503625, "loss": 0.5987, "step": 257 }, { "epoch": 8.06, "learning_rate": 0.0005032499999999999, "loss": 0.5851, "step": 258 }, { "epoch": 8.09, "learning_rate": 0.000502875, "loss": 0.5072, "step": 259 }, { "epoch": 8.12, "learning_rate": 0.0005025, "loss": 0.6294, "step": 260 }, { "epoch": 8.12, "eval_loss": 0.9677308201789856, "eval_mean_accuracy": 0.5352102294125518, "eval_mean_iou": 0.3874779695183849, "eval_overall_accuracy": 0.6757297515869141, "eval_per_category_accuracy": [ 0.7860712450729425, 0.6996335098089403, 0.65897109351882, 0.3466006481565013, 0.5820622479016707, 0.5249492812269769, 0.6516203284583617, 0.42754130188115214, 0.3181858513083059, 0.6402143362674009, 0.24809542320017874, 0.5385774861493702 ], "eval_per_category_iou": [ 0.5874043930268468, 0.5453910246161039, 0.5540919673215583, 0.24924583242883128, 0.36393645710753425, 0.36953703124141746, 0.43503432965720795, 0.37537864391855535, 0.235992267511208, 0.42864730414486657, 0.15718640675783643, 0.34788997648865216 ], "eval_runtime": 121.2884, "eval_samples_per_second": 0.94, "eval_steps_per_second": 0.082, "step": 260 }, { "epoch": 8.16, "learning_rate": 0.000502125, "loss": 0.5728, "step": 261 }, { "epoch": 8.19, "learning_rate": 0.00050175, "loss": 0.4925, "step": 262 }, { "epoch": 8.22, "learning_rate": 0.000501375, "loss": 0.5615, "step": 263 }, { "epoch": 8.25, "learning_rate": 0.0005009999999999999, "loss": 0.5562, "step": 264 }, { "epoch": 8.28, "learning_rate": 0.000500625, "loss": 0.5429, "step": 265 }, { "epoch": 8.31, "learning_rate": 0.0005002499999999999, "loss": 0.5993, "step": 266 }, { "epoch": 8.34, "learning_rate": 0.000499875, "loss": 0.6164, "step": 267 }, { "epoch": 8.38, "learning_rate": 0.0004994999999999999, "loss": 0.5683, "step": 268 }, { "epoch": 8.41, "learning_rate": 0.000499125, "loss": 0.5876, "step": 269 }, { "epoch": 8.44, "learning_rate": 0.00049875, "loss": 0.648, "step": 270 }, { "epoch": 8.47, "learning_rate": 0.0004983749999999999, "loss": 0.5063, "step": 271 }, { "epoch": 8.5, "learning_rate": 0.000498, "loss": 0.5067, "step": 272 }, { "epoch": 8.53, "learning_rate": 0.0004976249999999999, "loss": 0.5348, "step": 273 }, { "epoch": 8.56, "learning_rate": 0.00049725, "loss": 0.5394, "step": 274 }, { "epoch": 8.59, "learning_rate": 0.0004968749999999999, "loss": 0.5167, "step": 275 }, { "epoch": 8.62, "learning_rate": 0.0004965, "loss": 0.5693, "step": 276 }, { "epoch": 8.66, "learning_rate": 0.0004961249999999999, "loss": 0.5314, "step": 277 }, { "epoch": 8.69, "learning_rate": 0.00049575, "loss": 0.5412, "step": 278 }, { "epoch": 8.72, "learning_rate": 0.0004953749999999999, "loss": 0.5591, "step": 279 }, { "epoch": 8.75, "learning_rate": 0.0004949999999999999, "loss": 0.6466, "step": 280 }, { "epoch": 8.75, "eval_loss": 1.1633713245391846, "eval_mean_accuracy": 0.45516446277688666, "eval_mean_iou": 0.34044253625459714, "eval_overall_accuracy": 0.6490158281828228, "eval_per_category_accuracy": [ 0.435275610530772, 0.8518805461230962, 0.77708300815052, 0.2383918224023428, 0.5511307578701274, 0.49349456882691745, 0.5473558172964139, 0.15364546223070338, 0.2011725508637747, 0.5975145003992467, 0.17590668262358705, 0.4391222260051379 ], "eval_per_category_iou": [ 0.41258905558282083, 0.5588823205403024, 0.5499089792040451, 0.21416770573566085, 0.3541706266029605, 0.3449148791262031, 0.4391789251215739, 0.1511643106374456, 0.17077354724513238, 0.41425552671677335, 0.13590669494952362, 0.33939786359272384 ], "eval_runtime": 121.6491, "eval_samples_per_second": 0.937, "eval_steps_per_second": 0.082, "step": 280 }, { "epoch": 8.78, "learning_rate": 0.000494625, "loss": 0.5825, "step": 281 }, { "epoch": 8.81, "learning_rate": 0.0004942499999999999, "loss": 0.6544, "step": 282 }, { "epoch": 8.84, "learning_rate": 0.000493875, "loss": 0.5803, "step": 283 }, { "epoch": 8.88, "learning_rate": 0.0004935, "loss": 0.526, "step": 284 }, { "epoch": 8.91, "learning_rate": 0.000493125, "loss": 0.5914, "step": 285 }, { "epoch": 8.94, "learning_rate": 0.00049275, "loss": 0.4828, "step": 286 }, { "epoch": 8.97, "learning_rate": 0.000492375, "loss": 0.5737, "step": 287 }, { "epoch": 9.0, "learning_rate": 0.0004919999999999999, "loss": 0.6182, "step": 288 }, { "epoch": 9.03, "learning_rate": 0.000491625, "loss": 0.5085, "step": 289 }, { "epoch": 9.06, "learning_rate": 0.0004912499999999999, "loss": 0.4522, "step": 290 }, { "epoch": 9.09, "learning_rate": 0.000490875, "loss": 0.5149, "step": 291 }, { "epoch": 9.12, "learning_rate": 0.0004904999999999999, "loss": 0.5657, "step": 292 }, { "epoch": 9.16, "learning_rate": 0.000490125, "loss": 0.5126, "step": 293 }, { "epoch": 9.19, "learning_rate": 0.00048975, "loss": 0.4972, "step": 294 }, { "epoch": 9.22, "learning_rate": 0.000489375, "loss": 0.5683, "step": 295 }, { "epoch": 9.25, "learning_rate": 0.000489, "loss": 0.4438, "step": 296 }, { "epoch": 9.28, "learning_rate": 0.0004886249999999999, "loss": 0.4399, "step": 297 }, { "epoch": 9.31, "learning_rate": 0.0004882499999999999, "loss": 0.5879, "step": 298 }, { "epoch": 9.34, "learning_rate": 0.000487875, "loss": 0.513, "step": 299 }, { "epoch": 9.38, "learning_rate": 0.0004875, "loss": 0.5057, "step": 300 }, { "epoch": 9.38, "eval_loss": 1.0140376091003418, "eval_mean_accuracy": 0.5164049216621516, "eval_mean_iou": 0.3753016343967814, "eval_overall_accuracy": 0.6761952450400904, "eval_per_category_accuracy": [ 0.7040612772295968, 0.7717356769130097, 0.6398490600064661, 0.3456325771507484, 0.6136622859886509, 0.6304842508682982, 0.5371849754939392, 0.5657203225934335, 0.31926612423804157, 0.5927235403244355, 0.12099304282351789, 0.3555459263156809 ], "eval_per_category_iou": [ 0.5693101894871927, 0.5607649636340032, 0.5462865963528141, 0.24402205732847634, 0.335674533957752, 0.376631147629836, 0.4208455085595592, 0.3879488841178381, 0.21433187793734848, 0.42881135039928037, 0.1030105772813859, 0.31598192607588993 ], "eval_runtime": 120.959, "eval_samples_per_second": 0.942, "eval_steps_per_second": 0.083, "step": 300 }, { "epoch": 9.41, "learning_rate": 0.000487125, "loss": 0.5731, "step": 301 }, { "epoch": 9.44, "learning_rate": 0.00048675, "loss": 0.5922, "step": 302 }, { "epoch": 9.47, "learning_rate": 0.000486375, "loss": 0.5068, "step": 303 }, { "epoch": 9.5, "learning_rate": 0.000486, "loss": 0.4608, "step": 304 }, { "epoch": 9.53, "learning_rate": 0.00048562499999999995, "loss": 0.5201, "step": 305 }, { "epoch": 9.56, "learning_rate": 0.00048524999999999995, "loss": 0.4989, "step": 306 }, { "epoch": 9.59, "learning_rate": 0.00048487499999999995, "loss": 0.5214, "step": 307 }, { "epoch": 9.62, "learning_rate": 0.00048449999999999996, "loss": 0.5588, "step": 308 }, { "epoch": 9.66, "learning_rate": 0.00048412499999999996, "loss": 0.5217, "step": 309 }, { "epoch": 9.69, "learning_rate": 0.00048374999999999997, "loss": 0.5234, "step": 310 }, { "epoch": 9.72, "learning_rate": 0.00048337499999999997, "loss": 0.5274, "step": 311 }, { "epoch": 9.75, "learning_rate": 0.000483, "loss": 0.5443, "step": 312 }, { "epoch": 9.78, "learning_rate": 0.0004826249999999999, "loss": 0.479, "step": 313 }, { "epoch": 9.81, "learning_rate": 0.00048224999999999993, "loss": 0.4926, "step": 314 }, { "epoch": 9.84, "learning_rate": 0.00048187499999999994, "loss": 0.5416, "step": 315 }, { "epoch": 9.88, "learning_rate": 0.00048149999999999994, "loss": 0.5723, "step": 316 }, { "epoch": 9.91, "learning_rate": 0.00048112499999999994, "loss": 0.5107, "step": 317 }, { "epoch": 9.94, "learning_rate": 0.00048074999999999995, "loss": 0.6088, "step": 318 }, { "epoch": 9.97, "learning_rate": 0.00048037499999999995, "loss": 0.494, "step": 319 }, { "epoch": 10.0, "learning_rate": 0.00047999999999999996, "loss": 0.5537, "step": 320 }, { "epoch": 10.0, "eval_loss": 1.002641201019287, "eval_mean_accuracy": 0.49957440190713626, "eval_mean_iou": 0.38251915719313995, "eval_overall_accuracy": 0.6835857859829015, "eval_per_category_accuracy": [ 0.6994669240491218, 0.7697357134553124, 0.7671867023509327, 0.23985607317090096, 0.48212646903305667, 0.46076417494438177, 0.6212062051581597, 0.3814901999440701, 0.3827870597943267, 0.623428764849186, 0.26144046915794594, 0.30540406697824135 ], "eval_per_category_iou": [ 0.5761962288087772, 0.5649042718911467, 0.5704844183828389, 0.21412486254588256, 0.3832999932353424, 0.3660397268508708, 0.4478781724966386, 0.341642286423795, 0.24395053839748818, 0.424868727805109, 0.18011057645674572, 0.2767300830230447 ], "eval_runtime": 121.7458, "eval_samples_per_second": 0.936, "eval_steps_per_second": 0.082, "step": 320 }, { "epoch": 10.03, "learning_rate": 0.0004796249999999999, "loss": 0.514, "step": 321 }, { "epoch": 10.06, "learning_rate": 0.0004792499999999999, "loss": 0.5937, "step": 322 }, { "epoch": 10.09, "learning_rate": 0.0004788749999999999, "loss": 0.5341, "step": 323 }, { "epoch": 10.12, "learning_rate": 0.0004785, "loss": 0.4831, "step": 324 }, { "epoch": 10.16, "learning_rate": 0.000478125, "loss": 0.5363, "step": 325 }, { "epoch": 10.19, "learning_rate": 0.00047775, "loss": 0.5426, "step": 326 }, { "epoch": 10.22, "learning_rate": 0.000477375, "loss": 0.4749, "step": 327 }, { "epoch": 10.25, "learning_rate": 0.000477, "loss": 0.5598, "step": 328 }, { "epoch": 10.28, "learning_rate": 0.000476625, "loss": 0.4966, "step": 329 }, { "epoch": 10.31, "learning_rate": 0.00047624999999999995, "loss": 0.4268, "step": 330 }, { "epoch": 10.34, "learning_rate": 0.00047587499999999995, "loss": 0.4425, "step": 331 }, { "epoch": 10.38, "learning_rate": 0.00047549999999999996, "loss": 0.4802, "step": 332 }, { "epoch": 10.41, "learning_rate": 0.00047512499999999996, "loss": 0.4799, "step": 333 }, { "epoch": 10.44, "learning_rate": 0.00047474999999999997, "loss": 0.4465, "step": 334 }, { "epoch": 10.47, "learning_rate": 0.00047437499999999997, "loss": 0.491, "step": 335 }, { "epoch": 10.5, "learning_rate": 0.000474, "loss": 0.4901, "step": 336 }, { "epoch": 10.53, "learning_rate": 0.000473625, "loss": 0.5444, "step": 337 }, { "epoch": 10.56, "learning_rate": 0.00047324999999999993, "loss": 0.5099, "step": 338 }, { "epoch": 10.59, "learning_rate": 0.00047287499999999993, "loss": 0.5143, "step": 339 }, { "epoch": 10.62, "learning_rate": 0.00047249999999999994, "loss": 0.5615, "step": 340 }, { "epoch": 10.62, "eval_loss": 1.1075023412704468, "eval_mean_accuracy": 0.5381353239414549, "eval_mean_iou": 0.38556839144435723, "eval_overall_accuracy": 0.6534654717696341, "eval_per_category_accuracy": [ 0.4403944788467833, 0.8219203044717592, 0.717188400197578, 0.3802853554104413, 0.4857811984027779, 0.5460551863801495, 0.6359948610483525, 0.5295748148259262, 0.526430086155648, 0.5662027129997951, 0.32515388123521255, 0.48264260732303693 ], "eval_per_category_iou": [ 0.41895938854417153, 0.5549934087655012, 0.5777242197305088, 0.2713095011176766, 0.3829874570948952, 0.37263111229988904, 0.44410674353714125, 0.41640556613811885, 0.22631118706068476, 0.4034299245288768, 0.18868883003760206, 0.3692733584772213 ], "eval_runtime": 120.3448, "eval_samples_per_second": 0.947, "eval_steps_per_second": 0.083, "step": 340 }, { "epoch": 10.66, "learning_rate": 0.00047212499999999994, "loss": 0.583, "step": 341 }, { "epoch": 10.69, "learning_rate": 0.00047174999999999995, "loss": 0.4993, "step": 342 }, { "epoch": 10.72, "learning_rate": 0.00047137499999999995, "loss": 0.4513, "step": 343 }, { "epoch": 10.75, "learning_rate": 0.00047099999999999996, "loss": 0.4375, "step": 344 }, { "epoch": 10.78, "learning_rate": 0.00047062499999999996, "loss": 0.5255, "step": 345 }, { "epoch": 10.81, "learning_rate": 0.0004702499999999999, "loss": 0.4966, "step": 346 }, { "epoch": 10.84, "learning_rate": 0.0004698749999999999, "loss": 0.5821, "step": 347 }, { "epoch": 10.88, "learning_rate": 0.0004694999999999999, "loss": 0.4963, "step": 348 }, { "epoch": 10.91, "learning_rate": 0.0004691249999999999, "loss": 0.4858, "step": 349 }, { "epoch": 10.94, "learning_rate": 0.00046875, "loss": 0.4664, "step": 350 }, { "epoch": 10.97, "learning_rate": 0.000468375, "loss": 0.5505, "step": 351 }, { "epoch": 11.0, "learning_rate": 0.000468, "loss": 0.5578, "step": 352 }, { "epoch": 11.03, "learning_rate": 0.000467625, "loss": 0.4877, "step": 353 }, { "epoch": 11.06, "learning_rate": 0.00046725, "loss": 0.4719, "step": 354 }, { "epoch": 11.09, "learning_rate": 0.00046687499999999995, "loss": 0.481, "step": 355 }, { "epoch": 11.12, "learning_rate": 0.00046649999999999996, "loss": 0.4697, "step": 356 }, { "epoch": 11.16, "learning_rate": 0.00046612499999999996, "loss": 0.4387, "step": 357 }, { "epoch": 11.19, "learning_rate": 0.00046574999999999996, "loss": 0.5047, "step": 358 }, { "epoch": 11.22, "learning_rate": 0.00046537499999999997, "loss": 0.4715, "step": 359 }, { "epoch": 11.25, "learning_rate": 0.00046499999999999997, "loss": 0.3817, "step": 360 }, { "epoch": 11.25, "eval_loss": 0.973293662071228, "eval_mean_accuracy": 0.526337814551732, "eval_mean_iou": 0.39394445021340596, "eval_overall_accuracy": 0.6902817843253153, "eval_per_category_accuracy": [ 0.7100156693757316, 0.7872355149788677, 0.7002809864859968, 0.39814782687143047, 0.5660008873456008, 0.5177470339951876, 0.5890586303371335, 0.6255674689358638, 0.288426217580721, 0.5324119975320245, 0.2230336717547205, 0.3781278694275073 ], "eval_per_category_iou": [ 0.5918248396748393, 0.5740929031755979, 0.5702195309365028, 0.2694635246046004, 0.39050156266598085, 0.37028495637469355, 0.4510922837827899, 0.4202353926834219, 0.2081714990153856, 0.4102416337231896, 0.15852862600402043, 0.31267664991984906 ], "eval_runtime": 121.3069, "eval_samples_per_second": 0.94, "eval_steps_per_second": 0.082, "step": 360 }, { "epoch": 11.28, "learning_rate": 0.000464625, "loss": 0.4344, "step": 361 }, { "epoch": 11.31, "learning_rate": 0.00046425, "loss": 0.5005, "step": 362 }, { "epoch": 11.34, "learning_rate": 0.00046387499999999993, "loss": 0.5012, "step": 363 }, { "epoch": 11.38, "learning_rate": 0.00046349999999999994, "loss": 0.487, "step": 364 }, { "epoch": 11.41, "learning_rate": 0.00046312499999999994, "loss": 0.4264, "step": 365 }, { "epoch": 11.44, "learning_rate": 0.00046274999999999995, "loss": 0.4818, "step": 366 }, { "epoch": 11.47, "learning_rate": 0.00046237499999999995, "loss": 0.4483, "step": 367 }, { "epoch": 11.5, "learning_rate": 0.00046199999999999995, "loss": 0.444, "step": 368 }, { "epoch": 11.53, "learning_rate": 0.00046162499999999996, "loss": 0.5017, "step": 369 }, { "epoch": 11.56, "learning_rate": 0.00046124999999999996, "loss": 0.4874, "step": 370 }, { "epoch": 11.59, "learning_rate": 0.0004608749999999999, "loss": 0.4134, "step": 371 }, { "epoch": 11.62, "learning_rate": 0.0004604999999999999, "loss": 0.4885, "step": 372 }, { "epoch": 11.66, "learning_rate": 0.0004601249999999999, "loss": 0.4436, "step": 373 }, { "epoch": 11.69, "learning_rate": 0.0004597499999999999, "loss": 0.4543, "step": 374 }, { "epoch": 11.72, "learning_rate": 0.000459375, "loss": 0.4744, "step": 375 }, { "epoch": 11.75, "learning_rate": 0.000459, "loss": 0.3958, "step": 376 }, { "epoch": 11.78, "learning_rate": 0.000458625, "loss": 0.4659, "step": 377 }, { "epoch": 11.81, "learning_rate": 0.00045825, "loss": 0.6125, "step": 378 }, { "epoch": 11.84, "learning_rate": 0.000457875, "loss": 0.4794, "step": 379 }, { "epoch": 11.88, "learning_rate": 0.00045749999999999995, "loss": 0.4716, "step": 380 }, { "epoch": 11.88, "eval_loss": 1.0539450645446777, "eval_mean_accuracy": 0.5215361286621208, "eval_mean_iou": 0.38890202441878613, "eval_overall_accuracy": 0.6796468098958334, "eval_per_category_accuracy": [ 0.606029809551961, 0.7980285104338783, 0.7272465007951344, 0.4234876926600093, 0.5754638811848293, 0.4046396335908891, 0.6712141560484233, 0.47858002316484, 0.3977023681712111, 0.6485998202738035, 0.15310685525216322, 0.37433429281830655 ], "eval_per_category_iou": [ 0.53324069408375, 0.5678157977237887, 0.5824690503659471, 0.2709843581744913, 0.38702904356261886, 0.33664562140879434, 0.4587162281029742, 0.40908241655584743, 0.24548972248237788, 0.42867887898198076, 0.12907470912905147, 0.3175977724538109 ], "eval_runtime": 120.9367, "eval_samples_per_second": 0.943, "eval_steps_per_second": 0.083, "step": 380 }, { "epoch": 11.91, "learning_rate": 0.00045712499999999996, "loss": 0.5158, "step": 381 }, { "epoch": 11.94, "learning_rate": 0.00045674999999999996, "loss": 0.483, "step": 382 }, { "epoch": 11.97, "learning_rate": 0.00045637499999999997, "loss": 0.4933, "step": 383 }, { "epoch": 12.0, "learning_rate": 0.00045599999999999997, "loss": 0.4897, "step": 384 }, { "epoch": 12.03, "learning_rate": 0.000455625, "loss": 0.4114, "step": 385 }, { "epoch": 12.06, "learning_rate": 0.00045525, "loss": 0.4022, "step": 386 }, { "epoch": 12.09, "learning_rate": 0.000454875, "loss": 0.4279, "step": 387 }, { "epoch": 12.12, "learning_rate": 0.00045449999999999993, "loss": 0.4571, "step": 388 }, { "epoch": 12.16, "learning_rate": 0.00045412499999999994, "loss": 0.4438, "step": 389 }, { "epoch": 12.19, "learning_rate": 0.00045374999999999994, "loss": 0.4597, "step": 390 }, { "epoch": 12.22, "learning_rate": 0.00045337499999999995, "loss": 0.4246, "step": 391 }, { "epoch": 12.25, "learning_rate": 0.00045299999999999995, "loss": 0.4786, "step": 392 }, { "epoch": 12.28, "learning_rate": 0.00045262499999999996, "loss": 0.4771, "step": 393 }, { "epoch": 12.31, "learning_rate": 0.00045224999999999996, "loss": 0.4844, "step": 394 }, { "epoch": 12.34, "learning_rate": 0.00045187499999999997, "loss": 0.3906, "step": 395 }, { "epoch": 12.38, "learning_rate": 0.0004514999999999999, "loss": 0.5017, "step": 396 }, { "epoch": 12.41, "learning_rate": 0.0004511249999999999, "loss": 0.4675, "step": 397 }, { "epoch": 12.44, "learning_rate": 0.0004507499999999999, "loss": 0.4282, "step": 398 }, { "epoch": 12.47, "learning_rate": 0.00045037499999999993, "loss": 0.515, "step": 399 }, { "epoch": 12.5, "learning_rate": 0.00045, "loss": 0.423, "step": 400 }, { "epoch": 12.5, "eval_loss": 0.9965826869010925, "eval_mean_accuracy": 0.5294550265143403, "eval_mean_iou": 0.40386816272224996, "eval_overall_accuracy": 0.6948729397957785, "eval_per_category_accuracy": [ 0.7349185378949704, 0.7654971297314803, 0.7413103780662184, 0.35135425847148877, 0.5190039849515911, 0.5204308645963004, 0.6351895382028468, 0.46694831626328204, 0.25594926488203507, 0.5999741311104169, 0.30752678956760215, 0.4553571244338523 ], "eval_per_category_iou": [ 0.5994361438746969, 0.568817829265267, 0.5918675192878663, 0.2695900812276531, 0.3890955318046989, 0.3725834843554118, 0.4553506580428748, 0.408580980613854, 0.20422702235815526, 0.4312235983237876, 0.19979478246344562, 0.35585032104928777 ], "eval_runtime": 121.0341, "eval_samples_per_second": 0.942, "eval_steps_per_second": 0.083, "step": 400 }, { "epoch": 12.53, "learning_rate": 0.000449625, "loss": 0.4788, "step": 401 }, { "epoch": 12.56, "learning_rate": 0.00044925, "loss": 0.4511, "step": 402 }, { "epoch": 12.59, "learning_rate": 0.000448875, "loss": 0.487, "step": 403 }, { "epoch": 12.62, "learning_rate": 0.0004485, "loss": 0.4686, "step": 404 }, { "epoch": 12.66, "learning_rate": 0.00044812499999999996, "loss": 0.4973, "step": 405 }, { "epoch": 12.69, "learning_rate": 0.00044774999999999996, "loss": 0.4654, "step": 406 }, { "epoch": 12.72, "learning_rate": 0.00044737499999999996, "loss": 0.3882, "step": 407 }, { "epoch": 12.75, "learning_rate": 0.00044699999999999997, "loss": 0.4508, "step": 408 }, { "epoch": 12.78, "learning_rate": 0.000446625, "loss": 0.4219, "step": 409 }, { "epoch": 12.81, "learning_rate": 0.00044625, "loss": 0.4973, "step": 410 }, { "epoch": 12.84, "learning_rate": 0.000445875, "loss": 0.3894, "step": 411 }, { "epoch": 12.88, "learning_rate": 0.0004455, "loss": 0.4357, "step": 412 }, { "epoch": 12.91, "learning_rate": 0.00044512499999999994, "loss": 0.4383, "step": 413 }, { "epoch": 12.94, "learning_rate": 0.00044474999999999994, "loss": 0.3998, "step": 414 }, { "epoch": 12.97, "learning_rate": 0.00044437499999999995, "loss": 0.4731, "step": 415 }, { "epoch": 13.0, "learning_rate": 0.00044399999999999995, "loss": 0.4363, "step": 416 }, { "epoch": 13.03, "learning_rate": 0.00044362499999999995, "loss": 0.3997, "step": 417 }, { "epoch": 13.06, "learning_rate": 0.00044324999999999996, "loss": 0.4673, "step": 418 }, { "epoch": 13.09, "learning_rate": 0.00044287499999999996, "loss": 0.4469, "step": 419 }, { "epoch": 13.12, "learning_rate": 0.00044249999999999997, "loss": 0.4181, "step": 420 }, { "epoch": 13.12, "eval_loss": 1.0220005512237549, "eval_mean_accuracy": 0.5241064268418345, "eval_mean_iou": 0.3929816513248286, "eval_overall_accuracy": 0.6911841610021758, "eval_per_category_accuracy": [ 0.7356569999936858, 0.7889698999759565, 0.7284989123794137, 0.36568448518747265, 0.6084800256074164, 0.58659572692069, 0.572704200116823, 0.44663354444552783, 0.38804202195150084, 0.4385538247622644, 0.2574981711777615, 0.371959309583501 ], "eval_per_category_iou": [ 0.5988537870212209, 0.5726384929814583, 0.583485471943568, 0.2549938544620477, 0.3744596921289283, 0.35425947539438574, 0.4622040405567757, 0.3917247341737655, 0.2406539452560217, 0.370119346197287, 0.1933110444743161, 0.319075931308168 ], "eval_runtime": 119.9947, "eval_samples_per_second": 0.95, "eval_steps_per_second": 0.083, "step": 420 }, { "epoch": 13.16, "learning_rate": 0.0004421249999999999, "loss": 0.4524, "step": 421 }, { "epoch": 13.19, "learning_rate": 0.0004417499999999999, "loss": 0.4499, "step": 422 }, { "epoch": 13.22, "learning_rate": 0.00044137499999999993, "loss": 0.4485, "step": 423 }, { "epoch": 13.25, "learning_rate": 0.00044099999999999993, "loss": 0.4635, "step": 424 }, { "epoch": 13.28, "learning_rate": 0.00044062499999999994, "loss": 0.5295, "step": 425 }, { "epoch": 13.31, "learning_rate": 0.00044025, "loss": 0.4706, "step": 426 }, { "epoch": 13.34, "learning_rate": 0.000439875, "loss": 0.5182, "step": 427 }, { "epoch": 13.38, "learning_rate": 0.0004395, "loss": 0.4629, "step": 428 }, { "epoch": 13.41, "learning_rate": 0.000439125, "loss": 0.3929, "step": 429 }, { "epoch": 13.44, "learning_rate": 0.00043874999999999996, "loss": 0.409, "step": 430 }, { "epoch": 13.47, "learning_rate": 0.00043837499999999996, "loss": 0.4477, "step": 431 }, { "epoch": 13.5, "learning_rate": 0.00043799999999999997, "loss": 0.3867, "step": 432 }, { "epoch": 13.53, "learning_rate": 0.00043762499999999997, "loss": 0.4317, "step": 433 }, { "epoch": 13.56, "learning_rate": 0.00043725, "loss": 0.4167, "step": 434 }, { "epoch": 13.59, "learning_rate": 0.000436875, "loss": 0.4197, "step": 435 }, { "epoch": 13.62, "learning_rate": 0.0004365, "loss": 0.4011, "step": 436 }, { "epoch": 13.66, "learning_rate": 0.000436125, "loss": 0.4367, "step": 437 }, { "epoch": 13.69, "learning_rate": 0.00043574999999999994, "loss": 0.4304, "step": 438 }, { "epoch": 13.72, "learning_rate": 0.00043537499999999994, "loss": 0.4591, "step": 439 }, { "epoch": 13.75, "learning_rate": 0.00043499999999999995, "loss": 0.3603, "step": 440 }, { "epoch": 13.75, "eval_loss": 1.0305607318878174, "eval_mean_accuracy": 0.5256165387398323, "eval_mean_iou": 0.3994621574277373, "eval_overall_accuracy": 0.6892888587817811, "eval_per_category_accuracy": [ 0.6253831258547049, 0.8135350587013286, 0.7413722995321077, 0.3445257146029521, 0.5377294082134167, 0.5453928481993474, 0.6360350091080991, 0.4459103128539147, 0.40154654268298096, 0.5827718410878285, 0.1904331936592667, 0.4427631103820401 ], "eval_per_category_iou": [ 0.5500551744374971, 0.5795062724471024, 0.5796235126769651, 0.25914780557063516, 0.4032656025427154, 0.3794912069818887, 0.4722700884037064, 0.38460571659872633, 0.25955579771446596, 0.4305571236183654, 0.15461250577774685, 0.34085508236303275 ], "eval_runtime": 122.784, "eval_samples_per_second": 0.928, "eval_steps_per_second": 0.081, "step": 440 }, { "epoch": 13.78, "learning_rate": 0.00043462499999999995, "loss": 0.3868, "step": 441 }, { "epoch": 13.81, "learning_rate": 0.00043424999999999996, "loss": 0.4209, "step": 442 }, { "epoch": 13.84, "learning_rate": 0.00043387499999999996, "loss": 0.4102, "step": 443 }, { "epoch": 13.88, "learning_rate": 0.00043349999999999997, "loss": 0.3974, "step": 444 }, { "epoch": 13.91, "learning_rate": 0.00043312499999999997, "loss": 0.4317, "step": 445 }, { "epoch": 13.94, "learning_rate": 0.0004327499999999999, "loss": 0.4768, "step": 446 }, { "epoch": 13.97, "learning_rate": 0.0004323749999999999, "loss": 0.4409, "step": 447 }, { "epoch": 14.0, "learning_rate": 0.00043199999999999993, "loss": 0.3988, "step": 448 }, { "epoch": 14.03, "learning_rate": 0.00043162499999999993, "loss": 0.3918, "step": 449 }, { "epoch": 14.06, "learning_rate": 0.00043124999999999994, "loss": 0.3668, "step": 450 }, { "epoch": 14.09, "learning_rate": 0.000430875, "loss": 0.4063, "step": 451 }, { "epoch": 14.12, "learning_rate": 0.0004305, "loss": 0.3424, "step": 452 }, { "epoch": 14.16, "learning_rate": 0.000430125, "loss": 0.3771, "step": 453 }, { "epoch": 14.19, "learning_rate": 0.00042975, "loss": 0.4562, "step": 454 }, { "epoch": 14.22, "learning_rate": 0.00042937499999999996, "loss": 0.4455, "step": 455 }, { "epoch": 14.25, "learning_rate": 0.00042899999999999997, "loss": 0.4262, "step": 456 }, { "epoch": 14.28, "learning_rate": 0.00042862499999999997, "loss": 0.4238, "step": 457 }, { "epoch": 14.31, "learning_rate": 0.00042825, "loss": 0.3942, "step": 458 }, { "epoch": 14.34, "learning_rate": 0.000427875, "loss": 0.379, "step": 459 }, { "epoch": 14.38, "learning_rate": 0.0004275, "loss": 0.3431, "step": 460 }, { "epoch": 14.38, "eval_loss": 1.0286169052124023, "eval_mean_accuracy": 0.5109097206693113, "eval_mean_iou": 0.3859667110484661, "eval_overall_accuracy": 0.6894934804815995, "eval_per_category_accuracy": [ 0.6452928217343096, 0.8196776419155087, 0.7718687641588283, 0.38626380108396197, 0.6219421523600759, 0.5779871451954169, 0.54301274189206, 0.3439871596927498, 0.33019972848992485, 0.5579069356266243, 0.18019178912378755, 0.35258596675848836 ], "eval_per_category_iou": [ 0.5685088458625193, 0.5804917965019951, 0.5817617509242167, 0.26922667646945014, 0.3822386851771151, 0.37215899796695723, 0.45551878734008194, 0.3229780859760508, 0.23288391317815874, 0.41768816601803266, 0.14884606438171907, 0.2992987627852963 ], "eval_runtime": 120.5616, "eval_samples_per_second": 0.946, "eval_steps_per_second": 0.083, "step": 460 }, { "epoch": 14.41, "learning_rate": 0.000427125, "loss": 0.4144, "step": 461 }, { "epoch": 14.44, "learning_rate": 0.00042675, "loss": 0.3867, "step": 462 }, { "epoch": 14.47, "learning_rate": 0.00042637499999999994, "loss": 0.4027, "step": 463 }, { "epoch": 14.5, "learning_rate": 0.00042599999999999995, "loss": 0.4171, "step": 464 }, { "epoch": 14.53, "learning_rate": 0.00042562499999999995, "loss": 0.4234, "step": 465 }, { "epoch": 14.56, "learning_rate": 0.00042524999999999996, "loss": 0.369, "step": 466 }, { "epoch": 14.59, "learning_rate": 0.00042487499999999996, "loss": 0.4339, "step": 467 }, { "epoch": 14.62, "learning_rate": 0.00042449999999999996, "loss": 0.382, "step": 468 }, { "epoch": 14.66, "learning_rate": 0.00042412499999999997, "loss": 0.4579, "step": 469 }, { "epoch": 14.69, "learning_rate": 0.00042375, "loss": 0.3522, "step": 470 }, { "epoch": 14.72, "learning_rate": 0.0004233749999999999, "loss": 0.4585, "step": 471 }, { "epoch": 14.75, "learning_rate": 0.00042299999999999993, "loss": 0.3902, "step": 472 }, { "epoch": 14.78, "learning_rate": 0.00042262499999999993, "loss": 0.4327, "step": 473 }, { "epoch": 14.81, "learning_rate": 0.00042224999999999994, "loss": 0.4649, "step": 474 }, { "epoch": 14.84, "learning_rate": 0.00042187499999999994, "loss": 0.478, "step": 475 }, { "epoch": 14.88, "learning_rate": 0.00042149999999999995, "loss": 0.4444, "step": 476 }, { "epoch": 14.91, "learning_rate": 0.000421125, "loss": 0.3839, "step": 477 }, { "epoch": 14.94, "learning_rate": 0.00042075, "loss": 0.4462, "step": 478 }, { "epoch": 14.97, "learning_rate": 0.000420375, "loss": 0.4425, "step": 479 }, { "epoch": 15.0, "learning_rate": 0.00041999999999999996, "loss": 0.3941, "step": 480 }, { "epoch": 15.0, "eval_loss": 1.0285805463790894, "eval_mean_accuracy": 0.5197467910140181, "eval_mean_iou": 0.3950472583408569, "eval_overall_accuracy": 0.693745730216043, "eval_per_category_accuracy": [ 0.7170439078785785, 0.7963107796720668, 0.7134728268918363, 0.3132282218721591, 0.5066783898931742, 0.5751254813293218, 0.6022909584995016, 0.540462932505885, 0.4537634313194857, 0.5136252380224694, 0.16598360028526565, 0.3389757239984731 ], "eval_per_category_iou": [ 0.5938434922493059, 0.5763621233677051, 0.583965121686162, 0.24249660859871328, 0.3919245674491054, 0.3829421416506171, 0.4558428984661032, 0.41286712737231623, 0.26023646989677657, 0.41167628061899947, 0.13963015222361835, 0.28878011651086183 ], "eval_runtime": 121.0924, "eval_samples_per_second": 0.941, "eval_steps_per_second": 0.083, "step": 480 }, { "epoch": 15.03, "learning_rate": 0.00041962499999999997, "loss": 0.3682, "step": 481 }, { "epoch": 15.06, "learning_rate": 0.00041924999999999997, "loss": 0.4215, "step": 482 }, { "epoch": 15.09, "learning_rate": 0.000418875, "loss": 0.4185, "step": 483 }, { "epoch": 15.12, "learning_rate": 0.0004185, "loss": 0.4211, "step": 484 }, { "epoch": 15.16, "learning_rate": 0.000418125, "loss": 0.3746, "step": 485 }, { "epoch": 15.19, "learning_rate": 0.00041775, "loss": 0.3681, "step": 486 }, { "epoch": 15.22, "learning_rate": 0.000417375, "loss": 0.4, "step": 487 }, { "epoch": 15.25, "learning_rate": 0.00041699999999999994, "loss": 0.3611, "step": 488 }, { "epoch": 15.28, "learning_rate": 0.00041662499999999995, "loss": 0.3832, "step": 489 }, { "epoch": 15.31, "learning_rate": 0.00041624999999999995, "loss": 0.3775, "step": 490 }, { "epoch": 15.34, "learning_rate": 0.00041587499999999996, "loss": 0.4411, "step": 491 }, { "epoch": 15.38, "learning_rate": 0.00041549999999999996, "loss": 0.386, "step": 492 }, { "epoch": 15.41, "learning_rate": 0.00041512499999999997, "loss": 0.357, "step": 493 }, { "epoch": 15.44, "learning_rate": 0.00041474999999999997, "loss": 0.3954, "step": 494 }, { "epoch": 15.47, "learning_rate": 0.000414375, "loss": 0.4039, "step": 495 }, { "epoch": 15.5, "learning_rate": 0.0004139999999999999, "loss": 0.3694, "step": 496 }, { "epoch": 15.53, "learning_rate": 0.00041362499999999993, "loss": 0.3414, "step": 497 }, { "epoch": 15.56, "learning_rate": 0.00041324999999999993, "loss": 0.4035, "step": 498 }, { "epoch": 15.59, "learning_rate": 0.00041287499999999994, "loss": 0.3496, "step": 499 }, { "epoch": 15.62, "learning_rate": 0.00041249999999999994, "loss": 0.3998, "step": 500 }, { "epoch": 15.62, "eval_loss": 1.0187643766403198, "eval_mean_accuracy": 0.5449461308223081, "eval_mean_iou": 0.40555339117484207, "eval_overall_accuracy": 0.690818753158837, "eval_per_category_accuracy": [ 0.6340379192725392, 0.7957837458867677, 0.7712004688910264, 0.42085759293828634, 0.5455190060108548, 0.5766679127092716, 0.6171118902808632, 0.42225046099317376, 0.3839294428719732, 0.5959274231613139, 0.26965256968654444, 0.506415137165083 ], "eval_per_category_iou": [ 0.5632719719341162, 0.5784232067182266, 0.5843311366525699, 0.25945201318522415, 0.39589450144892163, 0.39429823527441155, 0.46001328548056586, 0.3893771996213835, 0.2505569782608381, 0.43197369311482003, 0.20160876928005858, 0.35743970312696843 ], "eval_runtime": 119.6818, "eval_samples_per_second": 0.953, "eval_steps_per_second": 0.084, "step": 500 }, { "epoch": 15.66, "learning_rate": 0.00041212499999999995, "loss": 0.3262, "step": 501 }, { "epoch": 15.69, "learning_rate": 0.00041175, "loss": 0.4409, "step": 502 }, { "epoch": 15.72, "learning_rate": 0.000411375, "loss": 0.3697, "step": 503 }, { "epoch": 15.75, "learning_rate": 0.000411, "loss": 0.3989, "step": 504 }, { "epoch": 15.78, "learning_rate": 0.0004106249999999999, "loss": 0.4078, "step": 505 }, { "epoch": 15.81, "learning_rate": 0.00041024999999999997, "loss": 0.4582, "step": 506 }, { "epoch": 15.84, "learning_rate": 0.000409875, "loss": 0.4895, "step": 507 }, { "epoch": 15.88, "learning_rate": 0.0004095, "loss": 0.3963, "step": 508 }, { "epoch": 15.91, "learning_rate": 0.000409125, "loss": 0.381, "step": 509 }, { "epoch": 15.94, "learning_rate": 0.00040875, "loss": 0.3515, "step": 510 }, { "epoch": 15.97, "learning_rate": 0.000408375, "loss": 0.4238, "step": 511 }, { "epoch": 16.0, "learning_rate": 0.000408, "loss": 0.4653, "step": 512 }, { "epoch": 16.03, "learning_rate": 0.00040762499999999995, "loss": 0.3632, "step": 513 }, { "epoch": 16.06, "learning_rate": 0.00040724999999999995, "loss": 0.3797, "step": 514 }, { "epoch": 16.09, "learning_rate": 0.00040687499999999996, "loss": 0.3571, "step": 515 }, { "epoch": 16.12, "learning_rate": 0.00040649999999999996, "loss": 0.3525, "step": 516 }, { "epoch": 16.16, "learning_rate": 0.00040612499999999996, "loss": 0.3836, "step": 517 }, { "epoch": 16.19, "learning_rate": 0.00040574999999999997, "loss": 0.3514, "step": 518 }, { "epoch": 16.22, "learning_rate": 0.000405375, "loss": 0.4191, "step": 519 }, { "epoch": 16.25, "learning_rate": 0.000405, "loss": 0.4009, "step": 520 }, { "epoch": 16.25, "eval_loss": 1.114495038986206, "eval_mean_accuracy": 0.5029868268736565, "eval_mean_iou": 0.3926742613896017, "eval_overall_accuracy": 0.6919309047230503, "eval_per_category_accuracy": [ 0.623267003901118, 0.8475502832594376, 0.750294412315352, 0.3323398172115391, 0.502444252208741, 0.44843924090600606, 0.5559498637327619, 0.49885086535999257, 0.41982467192532585, 0.5013834118874849, 0.20419144631526753, 0.351306653460852 ], "eval_per_category_iou": [ 0.5551447983466938, 0.5853227631905641, 0.5876847661686672, 0.24404481327377933, 0.3901884156471832, 0.3531714330221185, 0.4531918484479208, 0.41972168983814523, 0.25107187960987826, 0.40174525218856516, 0.16531161953944093, 0.3054918574022637 ], "eval_runtime": 121.6784, "eval_samples_per_second": 0.937, "eval_steps_per_second": 0.082, "step": 520 }, { "epoch": 16.28, "learning_rate": 0.00040462499999999993, "loss": 0.3151, "step": 521 }, { "epoch": 16.31, "learning_rate": 0.00040424999999999993, "loss": 0.3798, "step": 522 }, { "epoch": 16.34, "learning_rate": 0.00040387499999999994, "loss": 0.3264, "step": 523 }, { "epoch": 16.38, "learning_rate": 0.00040349999999999994, "loss": 0.337, "step": 524 }, { "epoch": 16.41, "learning_rate": 0.00040312499999999995, "loss": 0.3952, "step": 525 }, { "epoch": 16.44, "learning_rate": 0.00040274999999999995, "loss": 0.3929, "step": 526 }, { "epoch": 16.47, "learning_rate": 0.00040237499999999995, "loss": 0.3253, "step": 527 }, { "epoch": 16.5, "learning_rate": 0.000402, "loss": 0.3569, "step": 528 }, { "epoch": 16.53, "learning_rate": 0.000401625, "loss": 0.4118, "step": 529 }, { "epoch": 16.56, "learning_rate": 0.0004012499999999999, "loss": 0.3638, "step": 530 }, { "epoch": 16.59, "learning_rate": 0.00040087499999999997, "loss": 0.402, "step": 531 }, { "epoch": 16.62, "learning_rate": 0.0004005, "loss": 0.3996, "step": 532 }, { "epoch": 16.66, "learning_rate": 0.000400125, "loss": 0.4078, "step": 533 }, { "epoch": 16.69, "learning_rate": 0.00039975, "loss": 0.3869, "step": 534 }, { "epoch": 16.72, "learning_rate": 0.000399375, "loss": 0.4146, "step": 535 }, { "epoch": 16.75, "learning_rate": 0.000399, "loss": 0.3847, "step": 536 }, { "epoch": 16.78, "learning_rate": 0.000398625, "loss": 0.3444, "step": 537 }, { "epoch": 16.81, "learning_rate": 0.00039824999999999995, "loss": 0.3481, "step": 538 }, { "epoch": 16.84, "learning_rate": 0.00039787499999999995, "loss": 0.4012, "step": 539 }, { "epoch": 16.88, "learning_rate": 0.00039749999999999996, "loss": 0.3792, "step": 540 }, { "epoch": 16.88, "eval_loss": 1.0373446941375732, "eval_mean_accuracy": 0.5319010549581172, "eval_mean_iou": 0.4043940051436823, "eval_overall_accuracy": 0.6962674458821615, "eval_per_category_accuracy": [ 0.6613369350430882, 0.8117236276546326, 0.7599339009753059, 0.3705352495818905, 0.4854246394398783, 0.6103346531706946, 0.6136552210583658, 0.48955921445263156, 0.3992861769429385, 0.5614743389481689, 0.2739009467024575, 0.34564775552735566 ], "eval_per_category_iou": [ 0.5810657837731416, 0.5831931362481007, 0.5912954319035167, 0.26070132951843406, 0.3922197395667084, 0.387007915239396, 0.4639126789011901, 0.4238089761118109, 0.25894049071282255, 0.42081577082396004, 0.19016966873794, 0.2995971401871666 ], "eval_runtime": 121.514, "eval_samples_per_second": 0.938, "eval_steps_per_second": 0.082, "step": 540 }, { "epoch": 16.91, "learning_rate": 0.00039712499999999996, "loss": 0.4063, "step": 541 }, { "epoch": 16.94, "learning_rate": 0.00039674999999999997, "loss": 0.3643, "step": 542 }, { "epoch": 16.97, "learning_rate": 0.00039637499999999997, "loss": 0.412, "step": 543 }, { "epoch": 17.0, "learning_rate": 0.000396, "loss": 0.2641, "step": 544 }, { "epoch": 17.03, "learning_rate": 0.000395625, "loss": 0.3285, "step": 545 }, { "epoch": 17.06, "learning_rate": 0.00039524999999999993, "loss": 0.3306, "step": 546 }, { "epoch": 17.09, "learning_rate": 0.00039487499999999994, "loss": 0.3111, "step": 547 }, { "epoch": 17.12, "learning_rate": 0.00039449999999999994, "loss": 0.346, "step": 548 }, { "epoch": 17.16, "learning_rate": 0.00039412499999999994, "loss": 0.3833, "step": 549 }, { "epoch": 17.19, "learning_rate": 0.00039374999999999995, "loss": 0.3654, "step": 550 }, { "epoch": 17.22, "learning_rate": 0.00039337499999999995, "loss": 0.3156, "step": 551 }, { "epoch": 17.25, "learning_rate": 0.00039299999999999996, "loss": 0.3768, "step": 552 }, { "epoch": 17.28, "learning_rate": 0.000392625, "loss": 0.3759, "step": 553 }, { "epoch": 17.31, "learning_rate": 0.00039225, "loss": 0.3784, "step": 554 }, { "epoch": 17.34, "learning_rate": 0.0003918749999999999, "loss": 0.3681, "step": 555 }, { "epoch": 17.38, "learning_rate": 0.0003914999999999999, "loss": 0.3638, "step": 556 }, { "epoch": 17.41, "learning_rate": 0.000391125, "loss": 0.3517, "step": 557 }, { "epoch": 17.44, "learning_rate": 0.00039075, "loss": 0.3914, "step": 558 }, { "epoch": 17.47, "learning_rate": 0.000390375, "loss": 0.374, "step": 559 }, { "epoch": 17.5, "learning_rate": 0.00039, "loss": 0.3532, "step": 560 }, { "epoch": 17.5, "eval_loss": 1.0606136322021484, "eval_mean_accuracy": 0.5364630707393, "eval_mean_iou": 0.4027402888976221, "eval_overall_accuracy": 0.692054413912589, "eval_per_category_accuracy": [ 0.6916576396319642, 0.785844562950018, 0.7279213591676157, 0.39280782229130956, 0.5252518704151278, 0.4992015649327318, 0.586307307419204, 0.45152687582167145, 0.4356427956664862, 0.6498259847780361, 0.35218066009004845, 0.33938840570738804 ], "eval_per_category_iou": [ 0.5901385584766586, 0.5730590545148666, 0.5915173876880175, 0.2577443047542723, 0.38687015793054874, 0.3762150792912744, 0.46806468824491687, 0.4018600863386738, 0.2583479349845038, 0.42879296228779334, 0.21245222400709024, 0.2878210282528486 ], "eval_runtime": 121.6974, "eval_samples_per_second": 0.937, "eval_steps_per_second": 0.082, "step": 560 }, { "epoch": 17.53, "learning_rate": 0.000389625, "loss": 0.3558, "step": 561 }, { "epoch": 17.56, "learning_rate": 0.00038925, "loss": 0.3454, "step": 562 }, { "epoch": 17.59, "learning_rate": 0.00038887499999999995, "loss": 0.3523, "step": 563 }, { "epoch": 17.62, "learning_rate": 0.00038849999999999996, "loss": 0.3781, "step": 564 }, { "epoch": 17.66, "learning_rate": 0.00038812499999999996, "loss": 0.3385, "step": 565 }, { "epoch": 17.69, "learning_rate": 0.00038774999999999997, "loss": 0.3942, "step": 566 }, { "epoch": 17.72, "learning_rate": 0.00038737499999999997, "loss": 0.4192, "step": 567 }, { "epoch": 17.75, "learning_rate": 0.000387, "loss": 0.3901, "step": 568 }, { "epoch": 17.78, "learning_rate": 0.000386625, "loss": 0.3555, "step": 569 }, { "epoch": 17.81, "learning_rate": 0.00038625, "loss": 0.3333, "step": 570 }, { "epoch": 17.84, "learning_rate": 0.00038587499999999993, "loss": 0.365, "step": 571 }, { "epoch": 17.88, "learning_rate": 0.00038549999999999994, "loss": 0.356, "step": 572 }, { "epoch": 17.91, "learning_rate": 0.00038512499999999994, "loss": 0.3568, "step": 573 }, { "epoch": 17.94, "learning_rate": 0.00038474999999999995, "loss": 0.3554, "step": 574 }, { "epoch": 17.97, "learning_rate": 0.00038437499999999995, "loss": 0.4282, "step": 575 }, { "epoch": 18.0, "learning_rate": 0.00038399999999999996, "loss": 0.3961, "step": 576 }, { "epoch": 18.03, "learning_rate": 0.00038362499999999996, "loss": 0.3528, "step": 577 }, { "epoch": 18.06, "learning_rate": 0.00038324999999999996, "loss": 0.3347, "step": 578 }, { "epoch": 18.09, "learning_rate": 0.000382875, "loss": 0.3684, "step": 579 }, { "epoch": 18.12, "learning_rate": 0.0003824999999999999, "loss": 0.3265, "step": 580 }, { "epoch": 18.12, "eval_loss": 1.0410232543945312, "eval_mean_accuracy": 0.5431988680928329, "eval_mean_iou": 0.40551240287672713, "eval_overall_accuracy": 0.6920698065506784, "eval_per_category_accuracy": [ 0.6552881242989272, 0.8041343896538069, 0.717873816608022, 0.38966419386402595, 0.5272575145814383, 0.5582077310290013, 0.6118446222854794, 0.5218807021453727, 0.3890490936354844, 0.5468698904379509, 0.2847973603743959, 0.5115189782000887 ], "eval_per_category_iou": [ 0.5724660939154029, 0.5789520770202325, 0.5912823548960956, 0.2570380949765168, 0.38400635048041737, 0.37546106319769756, 0.4716700600492167, 0.4283773134874427, 0.23948429522760076, 0.4078138849639129, 0.19265545964457492, 0.36694178666161426 ], "eval_runtime": 120.5664, "eval_samples_per_second": 0.946, "eval_steps_per_second": 0.083, "step": 580 }, { "epoch": 18.16, "learning_rate": 0.0003821249999999999, "loss": 0.4198, "step": 581 }, { "epoch": 18.19, "learning_rate": 0.00038175, "loss": 0.4146, "step": 582 }, { "epoch": 18.22, "learning_rate": 0.000381375, "loss": 0.3704, "step": 583 }, { "epoch": 18.25, "learning_rate": 0.000381, "loss": 0.3398, "step": 584 }, { "epoch": 18.28, "learning_rate": 0.000380625, "loss": 0.3956, "step": 585 }, { "epoch": 18.31, "learning_rate": 0.00038025, "loss": 0.3259, "step": 586 }, { "epoch": 18.34, "learning_rate": 0.000379875, "loss": 0.3287, "step": 587 }, { "epoch": 18.38, "learning_rate": 0.00037949999999999995, "loss": 0.357, "step": 588 }, { "epoch": 18.41, "learning_rate": 0.00037912499999999996, "loss": 0.3232, "step": 589 }, { "epoch": 18.44, "learning_rate": 0.00037874999999999996, "loss": 0.322, "step": 590 }, { "epoch": 18.47, "learning_rate": 0.00037837499999999997, "loss": 0.4049, "step": 591 }, { "epoch": 18.5, "learning_rate": 0.00037799999999999997, "loss": 0.316, "step": 592 }, { "epoch": 18.53, "learning_rate": 0.000377625, "loss": 0.3508, "step": 593 }, { "epoch": 18.56, "learning_rate": 0.00037725, "loss": 0.3187, "step": 594 }, { "epoch": 18.59, "learning_rate": 0.000376875, "loss": 0.3259, "step": 595 }, { "epoch": 18.62, "learning_rate": 0.00037649999999999994, "loss": 0.3481, "step": 596 }, { "epoch": 18.66, "learning_rate": 0.00037612499999999994, "loss": 0.3535, "step": 597 }, { "epoch": 18.69, "learning_rate": 0.00037574999999999994, "loss": 0.3775, "step": 598 }, { "epoch": 18.72, "learning_rate": 0.00037537499999999995, "loss": 0.3696, "step": 599 }, { "epoch": 18.75, "learning_rate": 0.00037499999999999995, "loss": 0.3318, "step": 600 }, { "epoch": 18.75, "eval_loss": 1.020988941192627, "eval_mean_accuracy": 0.5447569844160918, "eval_mean_iou": 0.4094633881675768, "eval_overall_accuracy": 0.6994912331564385, "eval_per_category_accuracy": [ 0.7262703523105905, 0.7806017935156169, 0.7217685912067523, 0.40382093115245554, 0.563411783058182, 0.4817557587129227, 0.6108267508883742, 0.5442548089543571, 0.3793466012439775, 0.5605418072027125, 0.24519073315111428, 0.5192939015960465 ], "eval_per_category_iou": [ 0.6038722020699768, 0.5815322915495976, 0.5825486043697007, 0.2691492043375801, 0.39273292144748456, 0.36467870059904095, 0.4707391191189612, 0.4129633815000236, 0.25210178181566234, 0.4278171656124102, 0.1848999988459186, 0.3705252867445649 ], "eval_runtime": 120.934, "eval_samples_per_second": 0.943, "eval_steps_per_second": 0.083, "step": 600 }, { "epoch": 18.78, "learning_rate": 0.00037462499999999996, "loss": 0.4432, "step": 601 }, { "epoch": 18.81, "learning_rate": 0.00037424999999999996, "loss": 0.3258, "step": 602 }, { "epoch": 18.84, "learning_rate": 0.00037387499999999997, "loss": 0.3648, "step": 603 }, { "epoch": 18.88, "learning_rate": 0.0003735, "loss": 0.2878, "step": 604 }, { "epoch": 18.91, "learning_rate": 0.0003731249999999999, "loss": 0.3666, "step": 605 }, { "epoch": 18.94, "learning_rate": 0.0003727499999999999, "loss": 0.2713, "step": 606 }, { "epoch": 18.97, "learning_rate": 0.00037237499999999993, "loss": 0.3096, "step": 607 }, { "epoch": 19.0, "learning_rate": 0.000372, "loss": 0.3383, "step": 608 }, { "epoch": 19.03, "learning_rate": 0.000371625, "loss": 0.3132, "step": 609 }, { "epoch": 19.06, "learning_rate": 0.00037125, "loss": 0.3102, "step": 610 }, { "epoch": 19.09, "learning_rate": 0.000370875, "loss": 0.3577, "step": 611 }, { "epoch": 19.12, "learning_rate": 0.0003705, "loss": 0.3291, "step": 612 }, { "epoch": 19.16, "learning_rate": 0.00037012499999999996, "loss": 0.2622, "step": 613 }, { "epoch": 19.19, "learning_rate": 0.00036974999999999996, "loss": 0.3496, "step": 614 }, { "epoch": 19.22, "learning_rate": 0.00036937499999999997, "loss": 0.3232, "step": 615 }, { "epoch": 19.25, "learning_rate": 0.00036899999999999997, "loss": 0.2898, "step": 616 }, { "epoch": 19.28, "learning_rate": 0.000368625, "loss": 0.2997, "step": 617 }, { "epoch": 19.31, "learning_rate": 0.00036825, "loss": 0.2981, "step": 618 }, { "epoch": 19.34, "learning_rate": 0.000367875, "loss": 0.3469, "step": 619 }, { "epoch": 19.38, "learning_rate": 0.0003675, "loss": 0.3084, "step": 620 }, { "epoch": 19.38, "eval_loss": 1.059301495552063, "eval_mean_accuracy": 0.5508115063471106, "eval_mean_iou": 0.41124752889527083, "eval_overall_accuracy": 0.6958786479213781, "eval_per_category_accuracy": [ 0.6755053046952768, 0.7849317329960662, 0.7434028670494764, 0.3357124516831944, 0.588747728456039, 0.6217468307571705, 0.612745198370776, 0.531245211939, 0.41738906683939203, 0.598762570011594, 0.2131779268042594, 0.48637118656308354 ], "eval_per_category_iou": [ 0.5804648202527455, 0.5775350994367053, 0.5956387213067603, 0.25720141635830035, 0.3986168225324602, 0.3902167636805523, 0.4700284540375506, 0.4395014781032412, 0.25725742832806736, 0.43049174672456336, 0.1754552141799091, 0.36256238180239475 ], "eval_runtime": 120.6095, "eval_samples_per_second": 0.945, "eval_steps_per_second": 0.083, "step": 620 }, { "epoch": 19.41, "learning_rate": 0.00036712499999999994, "loss": 0.3575, "step": 621 }, { "epoch": 19.44, "learning_rate": 0.00036674999999999994, "loss": 0.3358, "step": 622 }, { "epoch": 19.47, "learning_rate": 0.00036637499999999995, "loss": 0.3695, "step": 623 }, { "epoch": 19.5, "learning_rate": 0.00036599999999999995, "loss": 0.3881, "step": 624 }, { "epoch": 19.53, "learning_rate": 0.00036562499999999996, "loss": 0.3451, "step": 625 }, { "epoch": 19.56, "learning_rate": 0.00036524999999999996, "loss": 0.4005, "step": 626 }, { "epoch": 19.59, "learning_rate": 0.00036487499999999996, "loss": 0.3328, "step": 627 }, { "epoch": 19.62, "learning_rate": 0.00036449999999999997, "loss": 0.3266, "step": 628 }, { "epoch": 19.66, "learning_rate": 0.000364125, "loss": 0.386, "step": 629 }, { "epoch": 19.69, "learning_rate": 0.0003637499999999999, "loss": 0.305, "step": 630 }, { "epoch": 19.72, "learning_rate": 0.00036337499999999993, "loss": 0.3171, "step": 631 }, { "epoch": 19.75, "learning_rate": 0.00036299999999999993, "loss": 0.3233, "step": 632 }, { "epoch": 19.78, "learning_rate": 0.000362625, "loss": 0.3538, "step": 633 }, { "epoch": 19.81, "learning_rate": 0.00036225, "loss": 0.3642, "step": 634 }, { "epoch": 19.84, "learning_rate": 0.000361875, "loss": 0.3367, "step": 635 }, { "epoch": 19.88, "learning_rate": 0.0003615, "loss": 0.3806, "step": 636 }, { "epoch": 19.91, "learning_rate": 0.000361125, "loss": 0.3214, "step": 637 }, { "epoch": 19.94, "learning_rate": 0.00036074999999999996, "loss": 0.4018, "step": 638 }, { "epoch": 19.97, "learning_rate": 0.00036037499999999996, "loss": 0.3683, "step": 639 }, { "epoch": 20.0, "learning_rate": 0.00035999999999999997, "loss": 0.341, "step": 640 }, { "epoch": 20.0, "eval_loss": 1.1016860008239746, "eval_mean_accuracy": 0.5467457135144904, "eval_mean_iou": 0.3945612352121604, "eval_overall_accuracy": 0.6805642111259594, "eval_per_category_accuracy": [ 0.5975676711895084, 0.7684589156993332, 0.7768818347244737, 0.41959458990569115, 0.5867744987409012, 0.5595941046458033, 0.7348700856019611, 0.48536768558390503, 0.4138266062127894, 0.665171556112803, 0.0968617716466746, 0.4559792421100416 ], "eval_per_category_iou": [ 0.5414112604633725, 0.5656503370160666, 0.5831030578837733, 0.2749207143100724, 0.38855618875902853, 0.39129750690271237, 0.4500853398648062, 0.4121934929699471, 0.2524171747266218, 0.43195502753202136, 0.09078521204540695, 0.3523595100720956 ], "eval_runtime": 120.0985, "eval_samples_per_second": 0.949, "eval_steps_per_second": 0.083, "step": 640 }, { "epoch": 20.03, "learning_rate": 0.000359625, "loss": 0.3105, "step": 641 }, { "epoch": 20.06, "learning_rate": 0.00035925, "loss": 0.3282, "step": 642 }, { "epoch": 20.09, "learning_rate": 0.000358875, "loss": 0.3913, "step": 643 }, { "epoch": 20.12, "learning_rate": 0.0003585, "loss": 0.297, "step": 644 }, { "epoch": 20.16, "learning_rate": 0.000358125, "loss": 0.3105, "step": 645 }, { "epoch": 20.19, "learning_rate": 0.00035774999999999994, "loss": 0.3215, "step": 646 }, { "epoch": 20.22, "learning_rate": 0.00035737499999999995, "loss": 0.2984, "step": 647 }, { "epoch": 20.25, "learning_rate": 0.00035699999999999995, "loss": 0.3547, "step": 648 }, { "epoch": 20.28, "learning_rate": 0.00035662499999999995, "loss": 0.3373, "step": 649 }, { "epoch": 20.31, "learning_rate": 0.00035624999999999996, "loss": 0.3341, "step": 650 }, { "epoch": 20.34, "learning_rate": 0.00035587499999999996, "loss": 0.3409, "step": 651 }, { "epoch": 20.38, "learning_rate": 0.00035549999999999997, "loss": 0.3026, "step": 652 }, { "epoch": 20.41, "learning_rate": 0.00035512499999999997, "loss": 0.3091, "step": 653 }, { "epoch": 20.44, "learning_rate": 0.00035475, "loss": 0.2992, "step": 654 }, { "epoch": 20.47, "learning_rate": 0.0003543749999999999, "loss": 0.2883, "step": 655 }, { "epoch": 20.5, "learning_rate": 0.00035399999999999993, "loss": 0.3174, "step": 656 }, { "epoch": 20.53, "learning_rate": 0.00035362499999999994, "loss": 0.3571, "step": 657 }, { "epoch": 20.56, "learning_rate": 0.00035324999999999994, "loss": 0.2673, "step": 658 }, { "epoch": 20.59, "learning_rate": 0.000352875, "loss": 0.3882, "step": 659 }, { "epoch": 20.62, "learning_rate": 0.0003525, "loss": 0.3189, "step": 660 }, { "epoch": 20.62, "eval_loss": 1.0981378555297852, "eval_mean_accuracy": 0.5360663301848262, "eval_mean_iou": 0.40852628331603835, "eval_overall_accuracy": 0.700901801126045, "eval_per_category_accuracy": [ 0.7290374192798078, 0.780043876633833, 0.740563896247017, 0.3473848203690467, 0.5824512213157431, 0.5583347547897031, 0.6493192935830805, 0.49992981974925826, 0.300684098914847, 0.6107290176445646, 0.265603144043855, 0.36871459964715714 ], "eval_per_category_iou": [ 0.6096553067262501, 0.5804813346089412, 0.5902485731408187, 0.2537729966490416, 0.4024485499354687, 0.39114301078139363, 0.47082317523904227, 0.434038016814915, 0.23113951549234293, 0.4207477097579975, 0.2067764219215033, 0.3110407887247453 ], "eval_runtime": 120.9446, "eval_samples_per_second": 0.943, "eval_steps_per_second": 0.083, "step": 660 }, { "epoch": 20.66, "learning_rate": 0.000352125, "loss": 0.3284, "step": 661 }, { "epoch": 20.69, "learning_rate": 0.00035175, "loss": 0.3129, "step": 662 }, { "epoch": 20.72, "learning_rate": 0.00035137499999999996, "loss": 0.2793, "step": 663 }, { "epoch": 20.75, "learning_rate": 0.00035099999999999997, "loss": 0.3778, "step": 664 }, { "epoch": 20.78, "learning_rate": 0.00035062499999999997, "loss": 0.3155, "step": 665 }, { "epoch": 20.81, "learning_rate": 0.00035025, "loss": 0.3472, "step": 666 }, { "epoch": 20.84, "learning_rate": 0.000349875, "loss": 0.3406, "step": 667 }, { "epoch": 20.88, "learning_rate": 0.0003495, "loss": 0.3245, "step": 668 }, { "epoch": 20.91, "learning_rate": 0.000349125, "loss": 0.3099, "step": 669 }, { "epoch": 20.94, "learning_rate": 0.00034875, "loss": 0.3515, "step": 670 }, { "epoch": 20.97, "learning_rate": 0.00034837499999999994, "loss": 0.3123, "step": 671 }, { "epoch": 21.0, "learning_rate": 0.00034799999999999995, "loss": 0.3299, "step": 672 }, { "epoch": 21.03, "learning_rate": 0.00034762499999999995, "loss": 0.3696, "step": 673 }, { "epoch": 21.06, "learning_rate": 0.00034724999999999996, "loss": 0.294, "step": 674 }, { "epoch": 21.09, "learning_rate": 0.00034687499999999996, "loss": 0.3386, "step": 675 }, { "epoch": 21.12, "learning_rate": 0.00034649999999999997, "loss": 0.3054, "step": 676 }, { "epoch": 21.16, "learning_rate": 0.00034612499999999997, "loss": 0.2931, "step": 677 }, { "epoch": 21.19, "learning_rate": 0.00034575, "loss": 0.3533, "step": 678 }, { "epoch": 21.22, "learning_rate": 0.000345375, "loss": 0.3265, "step": 679 }, { "epoch": 21.25, "learning_rate": 0.00034499999999999993, "loss": 0.306, "step": 680 }, { "epoch": 21.25, "eval_loss": 1.079343318939209, "eval_mean_accuracy": 0.5312425297991711, "eval_mean_iou": 0.4073887918342692, "eval_overall_accuracy": 0.7015380190129865, "eval_per_category_accuracy": [ 0.7030279589180716, 0.7993058741104738, 0.7431397721575408, 0.36075738544493097, 0.5635799330236403, 0.5524971056728811, 0.6310424797960793, 0.47471957364694084, 0.39750272841006895, 0.6082287060183241, 0.17880525109193696, 0.3623035892991633 ], "eval_per_category_iou": [ 0.5989279646164274, 0.5844779029725281, 0.5925695356010946, 0.2737699953920084, 0.40047996498875665, 0.38667738551533026, 0.47530902628924754, 0.41930446682319805, 0.2601354686238873, 0.4325911758661698, 0.1533369380909134, 0.3110856772316679 ], "eval_runtime": 120.2944, "eval_samples_per_second": 0.948, "eval_steps_per_second": 0.083, "step": 680 }, { "epoch": 21.28, "learning_rate": 0.00034462499999999993, "loss": 0.2736, "step": 681 }, { "epoch": 21.31, "learning_rate": 0.00034424999999999994, "loss": 0.3526, "step": 682 }, { "epoch": 21.34, "learning_rate": 0.00034387499999999994, "loss": 0.3021, "step": 683 }, { "epoch": 21.38, "learning_rate": 0.0003435, "loss": 0.3016, "step": 684 }, { "epoch": 21.41, "learning_rate": 0.000343125, "loss": 0.3366, "step": 685 }, { "epoch": 21.44, "learning_rate": 0.00034275, "loss": 0.2822, "step": 686 }, { "epoch": 21.47, "learning_rate": 0.000342375, "loss": 0.3038, "step": 687 }, { "epoch": 21.5, "learning_rate": 0.00034199999999999996, "loss": 0.3254, "step": 688 }, { "epoch": 21.53, "learning_rate": 0.00034162499999999997, "loss": 0.2837, "step": 689 }, { "epoch": 21.56, "learning_rate": 0.00034125, "loss": 0.2991, "step": 690 }, { "epoch": 21.59, "learning_rate": 0.000340875, "loss": 0.359, "step": 691 }, { "epoch": 21.62, "learning_rate": 0.0003405, "loss": 0.3301, "step": 692 }, { "epoch": 21.66, "learning_rate": 0.000340125, "loss": 0.33, "step": 693 }, { "epoch": 21.69, "learning_rate": 0.00033975, "loss": 0.2849, "step": 694 }, { "epoch": 21.72, "learning_rate": 0.000339375, "loss": 0.3286, "step": 695 }, { "epoch": 21.75, "learning_rate": 0.00033899999999999995, "loss": 0.4095, "step": 696 }, { "epoch": 21.78, "learning_rate": 0.00033862499999999995, "loss": 0.3631, "step": 697 }, { "epoch": 21.81, "learning_rate": 0.00033824999999999995, "loss": 0.3216, "step": 698 }, { "epoch": 21.84, "learning_rate": 0.00033787499999999996, "loss": 0.3262, "step": 699 }, { "epoch": 21.88, "learning_rate": 0.00033749999999999996, "loss": 0.3057, "step": 700 }, { "epoch": 21.88, "eval_loss": 1.0966832637786865, "eval_mean_accuracy": 0.5436162135374909, "eval_mean_iou": 0.4082507168437561, "eval_overall_accuracy": 0.6936197448195073, "eval_per_category_accuracy": [ 0.6474889718930664, 0.7922275007344841, 0.7846337174081215, 0.42367159145321687, 0.5340949378756784, 0.4965993924634988, 0.6263183914325615, 0.49843621258080106, 0.4197692164361197, 0.6275072873600746, 0.3027978684655952, 0.36984947434667326 ], "eval_per_category_iou": [ 0.5704268488701265, 0.5789043669843227, 0.5858298969786, 0.2762748833610129, 0.3890980578526424, 0.36870745916349157, 0.4758416227673552, 0.431528172019072, 0.25716126103966874, 0.440727063864797, 0.21065362928640785, 0.31385533993757636 ], "eval_runtime": 121.1302, "eval_samples_per_second": 0.941, "eval_steps_per_second": 0.083, "step": 700 }, { "epoch": 21.91, "learning_rate": 0.00033712499999999997, "loss": 0.2623, "step": 701 }, { "epoch": 21.94, "learning_rate": 0.00033674999999999997, "loss": 0.303, "step": 702 }, { "epoch": 21.97, "learning_rate": 0.000336375, "loss": 0.365, "step": 703 }, { "epoch": 22.0, "learning_rate": 0.000336, "loss": 0.2765, "step": 704 }, { "epoch": 22.03, "learning_rate": 0.00033562499999999993, "loss": 0.3511, "step": 705 }, { "epoch": 22.06, "learning_rate": 0.00033524999999999994, "loss": 0.3092, "step": 706 }, { "epoch": 22.09, "learning_rate": 0.00033487499999999994, "loss": 0.3209, "step": 707 }, { "epoch": 22.12, "learning_rate": 0.00033449999999999994, "loss": 0.3255, "step": 708 }, { "epoch": 22.16, "learning_rate": 0.00033412499999999995, "loss": 0.3228, "step": 709 }, { "epoch": 22.19, "learning_rate": 0.00033375, "loss": 0.2559, "step": 710 }, { "epoch": 22.22, "learning_rate": 0.000333375, "loss": 0.3944, "step": 711 }, { "epoch": 22.25, "learning_rate": 0.000333, "loss": 0.3088, "step": 712 }, { "epoch": 22.28, "learning_rate": 0.00033262499999999997, "loss": 0.2867, "step": 713 }, { "epoch": 22.31, "learning_rate": 0.00033224999999999997, "loss": 0.3286, "step": 714 }, { "epoch": 22.34, "learning_rate": 0.000331875, "loss": 0.3108, "step": 715 }, { "epoch": 22.38, "learning_rate": 0.0003315, "loss": 0.3645, "step": 716 }, { "epoch": 22.41, "learning_rate": 0.000331125, "loss": 0.3516, "step": 717 }, { "epoch": 22.44, "learning_rate": 0.00033075, "loss": 0.2856, "step": 718 }, { "epoch": 22.47, "learning_rate": 0.000330375, "loss": 0.3411, "step": 719 }, { "epoch": 22.5, "learning_rate": 0.00033, "loss": 0.2965, "step": 720 }, { "epoch": 22.5, "eval_loss": 1.1567984819412231, "eval_mean_accuracy": 0.5276929257850457, "eval_mean_iou": 0.39465744241374917, "eval_overall_accuracy": 0.6813106871487802, "eval_per_category_accuracy": [ 0.5635599423738187, 0.8229473695443837, 0.7641445606557854, 0.3653617948522217, 0.6130585668355595, 0.5156565858190674, 0.7143796180108919, 0.4005974428673829, 0.38591696760512145, 0.5533073844727205, 0.24381643828069285, 0.3895684381029022 ], "eval_per_category_iou": [ 0.5167840053968858, 0.5760424859842056, 0.5774014822404548, 0.2784320776768857, 0.3913638956104286, 0.3730870830182338, 0.4646286273391432, 0.37300618148587117, 0.250395074308512, 0.42088621405136056, 0.1926386302628715, 0.32122355159013727 ], "eval_runtime": 122.064, "eval_samples_per_second": 0.934, "eval_steps_per_second": 0.082, "step": 720 }, { "epoch": 22.53, "learning_rate": 0.00032962499999999995, "loss": 0.3295, "step": 721 }, { "epoch": 22.56, "learning_rate": 0.00032924999999999995, "loss": 0.2803, "step": 722 }, { "epoch": 22.59, "learning_rate": 0.00032887499999999996, "loss": 0.2649, "step": 723 }, { "epoch": 22.62, "learning_rate": 0.00032849999999999996, "loss": 0.3229, "step": 724 }, { "epoch": 22.66, "learning_rate": 0.00032812499999999997, "loss": 0.3463, "step": 725 }, { "epoch": 22.69, "learning_rate": 0.00032774999999999997, "loss": 0.2763, "step": 726 }, { "epoch": 22.72, "learning_rate": 0.000327375, "loss": 0.2874, "step": 727 }, { "epoch": 22.75, "learning_rate": 0.000327, "loss": 0.3032, "step": 728 }, { "epoch": 22.78, "learning_rate": 0.000326625, "loss": 0.3154, "step": 729 }, { "epoch": 22.81, "learning_rate": 0.00032624999999999993, "loss": 0.353, "step": 730 }, { "epoch": 22.84, "learning_rate": 0.00032587499999999994, "loss": 0.2839, "step": 731 }, { "epoch": 22.88, "learning_rate": 0.00032549999999999994, "loss": 0.3356, "step": 732 }, { "epoch": 22.91, "learning_rate": 0.00032512499999999995, "loss": 0.3061, "step": 733 }, { "epoch": 22.94, "learning_rate": 0.00032474999999999995, "loss": 0.3054, "step": 734 }, { "epoch": 22.97, "learning_rate": 0.000324375, "loss": 0.2964, "step": 735 }, { "epoch": 23.0, "learning_rate": 0.000324, "loss": 0.3063, "step": 736 }, { "epoch": 23.03, "learning_rate": 0.000323625, "loss": 0.3541, "step": 737 }, { "epoch": 23.06, "learning_rate": 0.0003232499999999999, "loss": 0.3322, "step": 738 }, { "epoch": 23.09, "learning_rate": 0.000322875, "loss": 0.2977, "step": 739 }, { "epoch": 23.12, "learning_rate": 0.0003225, "loss": 0.3143, "step": 740 }, { "epoch": 23.12, "eval_loss": 1.0905534029006958, "eval_mean_accuracy": 0.5463207146573476, "eval_mean_iou": 0.41371023617827113, "eval_overall_accuracy": 0.69981106540613, "eval_per_category_accuracy": [ 0.7044612714147034, 0.7849399792679025, 0.7447528691468164, 0.3383147930965087, 0.5745846391967699, 0.4949244934473886, 0.6616045998655433, 0.4726130946704796, 0.41939877376822265, 0.5984454674941234, 0.33202535558731977, 0.4297832389323924 ], "eval_per_category_iou": [ 0.5971861818357448, 0.581877446089541, 0.5903583035659352, 0.27266092092237654, 0.39661556877518883, 0.37978681185554447, 0.47048401182318955, 0.4214648530063751, 0.2554613355816417, 0.4336517402781951, 0.22355882183221085, 0.34141683857331007 ], "eval_runtime": 121.413, "eval_samples_per_second": 0.939, "eval_steps_per_second": 0.082, "step": 740 }, { "epoch": 23.16, "learning_rate": 0.000322125, "loss": 0.2742, "step": 741 }, { "epoch": 23.19, "learning_rate": 0.00032175, "loss": 0.2639, "step": 742 }, { "epoch": 23.22, "learning_rate": 0.000321375, "loss": 0.3433, "step": 743 }, { "epoch": 23.25, "learning_rate": 0.000321, "loss": 0.2833, "step": 744 }, { "epoch": 23.28, "learning_rate": 0.000320625, "loss": 0.2534, "step": 745 }, { "epoch": 23.31, "learning_rate": 0.00032024999999999995, "loss": 0.2722, "step": 746 }, { "epoch": 23.34, "learning_rate": 0.00031987499999999996, "loss": 0.3452, "step": 747 }, { "epoch": 23.38, "learning_rate": 0.00031949999999999996, "loss": 0.2878, "step": 748 }, { "epoch": 23.41, "learning_rate": 0.00031912499999999996, "loss": 0.3004, "step": 749 }, { "epoch": 23.44, "learning_rate": 0.00031874999999999997, "loss": 0.2635, "step": 750 }, { "epoch": 23.47, "learning_rate": 0.000318375, "loss": 0.3005, "step": 751 }, { "epoch": 23.5, "learning_rate": 0.000318, "loss": 0.2855, "step": 752 }, { "epoch": 23.53, "learning_rate": 0.000317625, "loss": 0.3189, "step": 753 }, { "epoch": 23.56, "learning_rate": 0.00031725, "loss": 0.2992, "step": 754 }, { "epoch": 23.59, "learning_rate": 0.00031687499999999994, "loss": 0.2889, "step": 755 }, { "epoch": 23.62, "learning_rate": 0.00031649999999999994, "loss": 0.31, "step": 756 }, { "epoch": 23.66, "learning_rate": 0.00031612499999999995, "loss": 0.2969, "step": 757 }, { "epoch": 23.69, "learning_rate": 0.00031574999999999995, "loss": 0.286, "step": 758 }, { "epoch": 23.72, "learning_rate": 0.00031537499999999995, "loss": 0.3337, "step": 759 }, { "epoch": 23.75, "learning_rate": 0.00031499999999999996, "loss": 0.3142, "step": 760 }, { "epoch": 23.75, "eval_loss": 1.0847059488296509, "eval_mean_accuracy": 0.5396379106302426, "eval_mean_iou": 0.412021539622709, "eval_overall_accuracy": 0.701039197152121, "eval_per_category_accuracy": [ 0.7171844344700422, 0.7857090653853361, 0.7497516720935933, 0.3166286146522231, 0.5432236576871884, 0.555117424393643, 0.5960939873950837, 0.5433580017807569, 0.4478452215114061, 0.5734204461236043, 0.21545821562043752, 0.43186418644959607 ], "eval_per_category_iou": [ 0.5979924064798365, 0.5815836208902815, 0.5944937368457016, 0.2574408540266658, 0.3991078312589492, 0.3835625541497348, 0.4710279525051257, 0.4474271627943089, 0.26428891210267125, 0.42654588130316284, 0.1764425740117356, 0.3443449891043343 ], "eval_runtime": 120.5433, "eval_samples_per_second": 0.946, "eval_steps_per_second": 0.083, "step": 760 }, { "epoch": 23.78, "learning_rate": 0.000314625, "loss": 0.3012, "step": 761 }, { "epoch": 23.81, "learning_rate": 0.00031425, "loss": 0.3316, "step": 762 }, { "epoch": 23.84, "learning_rate": 0.0003138749999999999, "loss": 0.4011, "step": 763 }, { "epoch": 23.88, "learning_rate": 0.0003135, "loss": 0.2954, "step": 764 }, { "epoch": 23.91, "learning_rate": 0.000313125, "loss": 0.2984, "step": 765 }, { "epoch": 23.94, "learning_rate": 0.00031275, "loss": 0.2974, "step": 766 }, { "epoch": 23.97, "learning_rate": 0.000312375, "loss": 0.3273, "step": 767 }, { "epoch": 24.0, "learning_rate": 0.000312, "loss": 0.2832, "step": 768 }, { "epoch": 24.03, "learning_rate": 0.000311625, "loss": 0.3242, "step": 769 }, { "epoch": 24.06, "learning_rate": 0.00031125, "loss": 0.3003, "step": 770 }, { "epoch": 24.09, "learning_rate": 0.00031087499999999995, "loss": 0.2776, "step": 771 }, { "epoch": 24.12, "learning_rate": 0.00031049999999999996, "loss": 0.2718, "step": 772 }, { "epoch": 24.16, "learning_rate": 0.00031012499999999996, "loss": 0.3566, "step": 773 }, { "epoch": 24.19, "learning_rate": 0.00030974999999999997, "loss": 0.2627, "step": 774 }, { "epoch": 24.22, "learning_rate": 0.00030937499999999997, "loss": 0.2948, "step": 775 }, { "epoch": 24.25, "learning_rate": 0.000309, "loss": 0.2548, "step": 776 }, { "epoch": 24.28, "learning_rate": 0.000308625, "loss": 0.2471, "step": 777 }, { "epoch": 24.31, "learning_rate": 0.00030825, "loss": 0.2693, "step": 778 }, { "epoch": 24.34, "learning_rate": 0.000307875, "loss": 0.3797, "step": 779 }, { "epoch": 24.38, "learning_rate": 0.00030749999999999994, "loss": 0.2776, "step": 780 }, { "epoch": 24.38, "eval_loss": 1.1065510511398315, "eval_mean_accuracy": 0.5409000564293074, "eval_mean_iou": 0.4130489167566249, "eval_overall_accuracy": 0.6989034016927084, "eval_per_category_accuracy": [ 0.6585943904780239, 0.8114654061620347, 0.7382970569611855, 0.36781146556928823, 0.5205598786078803, 0.5318158228054831, 0.654185868197856, 0.45673092891865624, 0.4357226515709431, 0.5726850603511806, 0.23527071160315016, 0.5076614359260062 ], "eval_per_category_iou": [ 0.5767084069741052, 0.5852845346599131, 0.5944243532033295, 0.2747477470238944, 0.3942487238224414, 0.38964205611328484, 0.47090833672390403, 0.4136149683534171, 0.26310932158892425, 0.43047280328494825, 0.18921467025406352, 0.37421107907727336 ], "eval_runtime": 120.6331, "eval_samples_per_second": 0.945, "eval_steps_per_second": 0.083, "step": 780 }, { "epoch": 24.41, "learning_rate": 0.00030712499999999994, "loss": 0.2481, "step": 781 }, { "epoch": 24.44, "learning_rate": 0.00030674999999999995, "loss": 0.2944, "step": 782 }, { "epoch": 24.47, "learning_rate": 0.00030637499999999995, "loss": 0.2631, "step": 783 }, { "epoch": 24.5, "learning_rate": 0.00030599999999999996, "loss": 0.276, "step": 784 }, { "epoch": 24.53, "learning_rate": 0.00030562499999999996, "loss": 0.2383, "step": 785 }, { "epoch": 24.56, "learning_rate": 0.00030525, "loss": 0.2755, "step": 786 }, { "epoch": 24.59, "learning_rate": 0.000304875, "loss": 0.3042, "step": 787 }, { "epoch": 24.62, "learning_rate": 0.0003044999999999999, "loss": 0.2983, "step": 788 }, { "epoch": 24.66, "learning_rate": 0.000304125, "loss": 0.2719, "step": 789 }, { "epoch": 24.69, "learning_rate": 0.00030375, "loss": 0.2943, "step": 790 }, { "epoch": 24.72, "learning_rate": 0.000303375, "loss": 0.32, "step": 791 }, { "epoch": 24.75, "learning_rate": 0.000303, "loss": 0.3395, "step": 792 }, { "epoch": 24.78, "learning_rate": 0.000302625, "loss": 0.3138, "step": 793 }, { "epoch": 24.81, "learning_rate": 0.00030225, "loss": 0.3289, "step": 794 }, { "epoch": 24.84, "learning_rate": 0.000301875, "loss": 0.3017, "step": 795 }, { "epoch": 24.88, "learning_rate": 0.00030149999999999996, "loss": 0.2854, "step": 796 }, { "epoch": 24.91, "learning_rate": 0.00030112499999999996, "loss": 0.358, "step": 797 }, { "epoch": 24.94, "learning_rate": 0.00030074999999999996, "loss": 0.2555, "step": 798 }, { "epoch": 24.97, "learning_rate": 0.00030037499999999997, "loss": 0.3597, "step": 799 }, { "epoch": 25.0, "learning_rate": 0.0003, "loss": 0.2831, "step": 800 }, { "epoch": 25.0, "eval_loss": 1.0793243646621704, "eval_mean_accuracy": 0.5555561395131962, "eval_mean_iou": 0.4132143115540001, "eval_overall_accuracy": 0.6999500341582716, "eval_per_category_accuracy": [ 0.7249887263019231, 0.7742597637071228, 0.7231768051890759, 0.4704408713333009, 0.5966588804453745, 0.6046893543200781, 0.6366584848594582, 0.5387593203123074, 0.36509675873756686, 0.6060694882184419, 0.21657234331048963, 0.4093028774232154 ], "eval_per_category_iou": [ 0.6036445508408057, 0.5797123082800245, 0.5924730622228696, 0.2904498714652956, 0.39978416826730556, 0.39527915476016784, 0.4738098306872107, 0.4425860694047625, 0.24609748803827752, 0.4288039545547971, 0.17714094016858645, 0.3287903399578989 ], "eval_runtime": 120.153, "eval_samples_per_second": 0.949, "eval_steps_per_second": 0.083, "step": 800 }, { "epoch": 25.03, "learning_rate": 0.000299625, "loss": 0.308, "step": 801 }, { "epoch": 25.06, "learning_rate": 0.00029925, "loss": 0.2962, "step": 802 }, { "epoch": 25.09, "learning_rate": 0.000298875, "loss": 0.2647, "step": 803 }, { "epoch": 25.12, "learning_rate": 0.0002985, "loss": 0.302, "step": 804 }, { "epoch": 25.16, "learning_rate": 0.000298125, "loss": 0.2516, "step": 805 }, { "epoch": 25.19, "learning_rate": 0.00029775, "loss": 0.3046, "step": 806 }, { "epoch": 25.22, "learning_rate": 0.00029737499999999995, "loss": 0.2898, "step": 807 }, { "epoch": 25.25, "learning_rate": 0.00029699999999999996, "loss": 0.2943, "step": 808 }, { "epoch": 25.28, "learning_rate": 0.00029662499999999996, "loss": 0.2618, "step": 809 }, { "epoch": 25.31, "learning_rate": 0.00029624999999999996, "loss": 0.324, "step": 810 }, { "epoch": 25.34, "learning_rate": 0.00029587499999999997, "loss": 0.2513, "step": 811 }, { "epoch": 25.38, "learning_rate": 0.00029549999999999997, "loss": 0.2644, "step": 812 }, { "epoch": 25.41, "learning_rate": 0.000295125, "loss": 0.2757, "step": 813 }, { "epoch": 25.44, "learning_rate": 0.00029475, "loss": 0.2637, "step": 814 }, { "epoch": 25.47, "learning_rate": 0.000294375, "loss": 0.3461, "step": 815 }, { "epoch": 25.5, "learning_rate": 0.000294, "loss": 0.2798, "step": 816 }, { "epoch": 25.53, "learning_rate": 0.000293625, "loss": 0.2927, "step": 817 }, { "epoch": 25.56, "learning_rate": 0.00029325, "loss": 0.2956, "step": 818 }, { "epoch": 25.59, "learning_rate": 0.00029287499999999995, "loss": 0.286, "step": 819 }, { "epoch": 25.62, "learning_rate": 0.00029249999999999995, "loss": 0.2783, "step": 820 }, { "epoch": 25.62, "eval_loss": 1.1129748821258545, "eval_mean_accuracy": 0.5242069480648149, "eval_mean_iou": 0.40439976233238045, "eval_overall_accuracy": 0.6998102288497122, "eval_per_category_accuracy": [ 0.6928495459463953, 0.8052259696766798, 0.7618540371226322, 0.3347547900430948, 0.5257239058603301, 0.5060808088873081, 0.584639982114433, 0.4304599431486396, 0.44648101647693494, 0.5916913924920764, 0.22076562609997152, 0.38995635890928226 ], "eval_per_category_iou": [ 0.5929048312384559, 0.5857610162672414, 0.5929578522073312, 0.26841292584194637, 0.39631058412442427, 0.37693746587302873, 0.4692408348018164, 0.3940319440562184, 0.24970009291847117, 0.4318095918863708, 0.17983464398091126, 0.31489536479235 ], "eval_runtime": 120.1309, "eval_samples_per_second": 0.949, "eval_steps_per_second": 0.083, "step": 820 }, { "epoch": 25.66, "learning_rate": 0.00029212499999999996, "loss": 0.2812, "step": 821 }, { "epoch": 25.69, "learning_rate": 0.00029174999999999996, "loss": 0.2671, "step": 822 }, { "epoch": 25.72, "learning_rate": 0.00029137499999999997, "loss": 0.2981, "step": 823 }, { "epoch": 25.75, "learning_rate": 0.00029099999999999997, "loss": 0.2718, "step": 824 }, { "epoch": 25.78, "learning_rate": 0.000290625, "loss": 0.2617, "step": 825 }, { "epoch": 25.81, "learning_rate": 0.00029025, "loss": 0.3141, "step": 826 }, { "epoch": 25.84, "learning_rate": 0.000289875, "loss": 0.2634, "step": 827 }, { "epoch": 25.88, "learning_rate": 0.0002895, "loss": 0.2708, "step": 828 }, { "epoch": 25.91, "learning_rate": 0.000289125, "loss": 0.325, "step": 829 }, { "epoch": 25.94, "learning_rate": 0.00028875, "loss": 0.3074, "step": 830 }, { "epoch": 25.97, "learning_rate": 0.000288375, "loss": 0.338, "step": 831 }, { "epoch": 26.0, "learning_rate": 0.00028799999999999995, "loss": 0.3272, "step": 832 }, { "epoch": 26.03, "learning_rate": 0.00028762499999999996, "loss": 0.2875, "step": 833 }, { "epoch": 26.06, "learning_rate": 0.00028724999999999996, "loss": 0.2664, "step": 834 }, { "epoch": 26.09, "learning_rate": 0.00028687499999999997, "loss": 0.2876, "step": 835 }, { "epoch": 26.12, "learning_rate": 0.00028649999999999997, "loss": 0.264, "step": 836 }, { "epoch": 26.16, "learning_rate": 0.000286125, "loss": 0.2825, "step": 837 }, { "epoch": 26.19, "learning_rate": 0.00028575, "loss": 0.2494, "step": 838 }, { "epoch": 26.22, "learning_rate": 0.000285375, "loss": 0.2277, "step": 839 }, { "epoch": 26.25, "learning_rate": 0.000285, "loss": 0.2966, "step": 840 }, { "epoch": 26.25, "eval_loss": 1.1355547904968262, "eval_mean_accuracy": 0.5296086582013562, "eval_mean_iou": 0.40787758711413447, "eval_overall_accuracy": 0.7007122709040057, "eval_per_category_accuracy": [ 0.6845148653492409, 0.8153546551740586, 0.7468978629675106, 0.39289109721653565, 0.5783123010816297, 0.48420005879385497, 0.5620169440556468, 0.4510479357898921, 0.44546063547554193, 0.5731023005057472, 0.19685473182885285, 0.4246505101777626 ], "eval_per_category_iou": [ 0.5913891081514681, 0.5869851217027395, 0.5930779050634145, 0.2991084754269412, 0.39366922071259536, 0.37145072534178974, 0.4626901171487159, 0.40810573165541625, 0.24822255842813845, 0.42864437477496875, 0.16783751480957626, 0.3433501921538499 ], "eval_runtime": 120.5826, "eval_samples_per_second": 0.945, "eval_steps_per_second": 0.083, "step": 840 }, { "epoch": 26.28, "learning_rate": 0.000284625, "loss": 0.2934, "step": 841 }, { "epoch": 26.31, "learning_rate": 0.00028425, "loss": 0.2477, "step": 842 }, { "epoch": 26.34, "learning_rate": 0.000283875, "loss": 0.2836, "step": 843 }, { "epoch": 26.38, "learning_rate": 0.00028349999999999995, "loss": 0.2698, "step": 844 }, { "epoch": 26.41, "learning_rate": 0.00028312499999999996, "loss": 0.2764, "step": 845 }, { "epoch": 26.44, "learning_rate": 0.00028274999999999996, "loss": 0.2479, "step": 846 }, { "epoch": 26.47, "learning_rate": 0.00028237499999999997, "loss": 0.2842, "step": 847 }, { "epoch": 26.5, "learning_rate": 0.00028199999999999997, "loss": 0.3196, "step": 848 }, { "epoch": 26.53, "learning_rate": 0.000281625, "loss": 0.2755, "step": 849 }, { "epoch": 26.56, "learning_rate": 0.00028125, "loss": 0.2572, "step": 850 }, { "epoch": 26.59, "learning_rate": 0.000280875, "loss": 0.2665, "step": 851 }, { "epoch": 26.62, "learning_rate": 0.0002805, "loss": 0.2254, "step": 852 }, { "epoch": 26.66, "learning_rate": 0.000280125, "loss": 0.2048, "step": 853 }, { "epoch": 26.69, "learning_rate": 0.00027975, "loss": 0.3095, "step": 854 }, { "epoch": 26.72, "learning_rate": 0.000279375, "loss": 0.3002, "step": 855 }, { "epoch": 26.75, "learning_rate": 0.000279, "loss": 0.2936, "step": 856 }, { "epoch": 26.78, "learning_rate": 0.00027862499999999996, "loss": 0.2494, "step": 857 }, { "epoch": 26.81, "learning_rate": 0.00027824999999999996, "loss": 0.3019, "step": 858 }, { "epoch": 26.84, "learning_rate": 0.00027787499999999996, "loss": 0.3723, "step": 859 }, { "epoch": 26.88, "learning_rate": 0.00027749999999999997, "loss": 0.3107, "step": 860 }, { "epoch": 26.88, "eval_loss": 1.1252777576446533, "eval_mean_accuracy": 0.5371894166488177, "eval_mean_iou": 0.40644828244848913, "eval_overall_accuracy": 0.6969429484584875, "eval_per_category_accuracy": [ 0.6468952947673742, 0.8087662073601048, 0.7475841354350867, 0.4212253905247014, 0.5811931354296029, 0.5569574542986655, 0.6194302439270155, 0.5202328055707047, 0.34214705908449644, 0.6473480998101035, 0.18965881369887333, 0.36483435987908425 ], "eval_per_category_iou": [ 0.5736085592707574, 0.5845864037747086, 0.5940903513547896, 0.28328409615950045, 0.39303828164174565, 0.39455284730515444, 0.47445652468845856, 0.44227721221042504, 0.23241523859463548, 0.43479646852227, 0.16037518537977943, 0.309898220479645 ], "eval_runtime": 121.618, "eval_samples_per_second": 0.937, "eval_steps_per_second": 0.082, "step": 860 }, { "epoch": 26.91, "learning_rate": 0.000277125, "loss": 0.3372, "step": 861 }, { "epoch": 26.94, "learning_rate": 0.00027675, "loss": 0.2567, "step": 862 }, { "epoch": 26.97, "learning_rate": 0.000276375, "loss": 0.3728, "step": 863 }, { "epoch": 27.0, "learning_rate": 0.000276, "loss": 0.2861, "step": 864 }, { "epoch": 27.03, "learning_rate": 0.00027562499999999994, "loss": 0.2992, "step": 865 }, { "epoch": 27.06, "learning_rate": 0.00027525, "loss": 0.292, "step": 866 }, { "epoch": 27.09, "learning_rate": 0.000274875, "loss": 0.2634, "step": 867 }, { "epoch": 27.12, "learning_rate": 0.0002745, "loss": 0.264, "step": 868 }, { "epoch": 27.16, "learning_rate": 0.00027412499999999995, "loss": 0.2604, "step": 869 }, { "epoch": 27.19, "learning_rate": 0.00027374999999999996, "loss": 0.2821, "step": 870 }, { "epoch": 27.22, "learning_rate": 0.00027337499999999996, "loss": 0.2545, "step": 871 }, { "epoch": 27.25, "learning_rate": 0.00027299999999999997, "loss": 0.2885, "step": 872 }, { "epoch": 27.28, "learning_rate": 0.00027262499999999997, "loss": 0.2872, "step": 873 }, { "epoch": 27.31, "learning_rate": 0.00027225, "loss": 0.2851, "step": 874 }, { "epoch": 27.34, "learning_rate": 0.000271875, "loss": 0.2739, "step": 875 }, { "epoch": 27.38, "learning_rate": 0.0002715, "loss": 0.249, "step": 876 }, { "epoch": 27.41, "learning_rate": 0.000271125, "loss": 0.2513, "step": 877 }, { "epoch": 27.44, "learning_rate": 0.00027074999999999994, "loss": 0.3014, "step": 878 }, { "epoch": 27.47, "learning_rate": 0.000270375, "loss": 0.2851, "step": 879 }, { "epoch": 27.5, "learning_rate": 0.00027, "loss": 0.2487, "step": 880 }, { "epoch": 27.5, "eval_loss": 1.104833960533142, "eval_mean_accuracy": 0.5383438131308615, "eval_mean_iou": 0.4136548750583668, "eval_overall_accuracy": 0.7020032113058525, "eval_per_category_accuracy": [ 0.7062988364780013, 0.7964391628061449, 0.7500572844897572, 0.37996266507519033, 0.48858099662281934, 0.5463781896573625, 0.6165293498061085, 0.4301974368672393, 0.3860922069510128, 0.5806486102512777, 0.29522853391202675, 0.48371248465339894 ], "eval_per_category_iou": [ 0.5994901679158006, 0.5845418952301205, 0.5961975347621044, 0.28874737966222364, 0.3840471238705527, 0.3898276118774963, 0.47020173305147583, 0.3943195545210807, 0.24850338300402763, 0.42890566188928947, 0.22050990128435502, 0.3585665536318737 ], "eval_runtime": 121.635, "eval_samples_per_second": 0.937, "eval_steps_per_second": 0.082, "step": 880 }, { "epoch": 27.53, "learning_rate": 0.000269625, "loss": 0.2821, "step": 881 }, { "epoch": 27.56, "learning_rate": 0.00026924999999999996, "loss": 0.3248, "step": 882 }, { "epoch": 27.59, "learning_rate": 0.00026887499999999996, "loss": 0.2404, "step": 883 }, { "epoch": 27.62, "learning_rate": 0.00026849999999999997, "loss": 0.2778, "step": 884 }, { "epoch": 27.66, "learning_rate": 0.00026812499999999997, "loss": 0.2501, "step": 885 }, { "epoch": 27.69, "learning_rate": 0.00026775, "loss": 0.2917, "step": 886 }, { "epoch": 27.72, "learning_rate": 0.000267375, "loss": 0.2685, "step": 887 }, { "epoch": 27.75, "learning_rate": 0.000267, "loss": 0.2785, "step": 888 }, { "epoch": 27.78, "learning_rate": 0.000266625, "loss": 0.251, "step": 889 }, { "epoch": 27.81, "learning_rate": 0.00026624999999999994, "loss": 0.2734, "step": 890 }, { "epoch": 27.84, "learning_rate": 0.000265875, "loss": 0.2561, "step": 891 }, { "epoch": 27.88, "learning_rate": 0.0002655, "loss": 0.2527, "step": 892 }, { "epoch": 27.91, "learning_rate": 0.000265125, "loss": 0.3193, "step": 893 }, { "epoch": 27.94, "learning_rate": 0.00026474999999999996, "loss": 0.3094, "step": 894 }, { "epoch": 27.97, "learning_rate": 0.00026437499999999996, "loss": 0.2827, "step": 895 }, { "epoch": 28.0, "learning_rate": 0.00026399999999999997, "loss": 0.2405, "step": 896 }, { "epoch": 28.03, "learning_rate": 0.00026362499999999997, "loss": 0.2495, "step": 897 }, { "epoch": 28.06, "learning_rate": 0.00026325, "loss": 0.2883, "step": 898 }, { "epoch": 28.09, "learning_rate": 0.000262875, "loss": 0.2845, "step": 899 }, { "epoch": 28.12, "learning_rate": 0.0002625, "loss": 0.2757, "step": 900 }, { "epoch": 28.12, "eval_loss": 1.1434400081634521, "eval_mean_accuracy": 0.541031331711776, "eval_mean_iou": 0.4109253831772188, "eval_overall_accuracy": 0.6963558531644052, "eval_per_category_accuracy": [ 0.6428283935373039, 0.8076601559386173, 0.7724049412759075, 0.36275251386180524, 0.5600710686841961, 0.5238405452585659, 0.5975338070279572, 0.46645116150993615, 0.42154157387114805, 0.5871591213130964, 0.2668947975746297, 0.48323790068814676 ], "eval_per_category_iou": [ 0.5694416441741732, 0.5846775522171952, 0.5907702340495511, 0.2776358489263274, 0.4037566433525581, 0.3798271628979161, 0.4687103835596983, 0.4146082000889513, 0.250402874607502, 0.43084935182927925, 0.2028785213725326, 0.35754618105094094 ], "eval_runtime": 120.892, "eval_samples_per_second": 0.943, "eval_steps_per_second": 0.083, "step": 900 }, { "epoch": 28.16, "learning_rate": 0.000262125, "loss": 0.2598, "step": 901 }, { "epoch": 28.19, "learning_rate": 0.00026175, "loss": 0.2775, "step": 902 }, { "epoch": 28.22, "learning_rate": 0.00026137499999999994, "loss": 0.2486, "step": 903 }, { "epoch": 28.25, "learning_rate": 0.000261, "loss": 0.2899, "step": 904 }, { "epoch": 28.28, "learning_rate": 0.000260625, "loss": 0.2669, "step": 905 }, { "epoch": 28.31, "learning_rate": 0.00026025, "loss": 0.2546, "step": 906 }, { "epoch": 28.34, "learning_rate": 0.00025987499999999996, "loss": 0.263, "step": 907 }, { "epoch": 28.38, "learning_rate": 0.00025949999999999997, "loss": 0.2662, "step": 908 }, { "epoch": 28.41, "learning_rate": 0.00025912499999999997, "loss": 0.2905, "step": 909 }, { "epoch": 28.44, "learning_rate": 0.00025875, "loss": 0.311, "step": 910 }, { "epoch": 28.47, "learning_rate": 0.000258375, "loss": 0.3024, "step": 911 }, { "epoch": 28.5, "learning_rate": 0.000258, "loss": 0.3055, "step": 912 }, { "epoch": 28.53, "learning_rate": 0.000257625, "loss": 0.2506, "step": 913 }, { "epoch": 28.56, "learning_rate": 0.00025725, "loss": 0.3058, "step": 914 }, { "epoch": 28.59, "learning_rate": 0.00025687499999999994, "loss": 0.279, "step": 915 }, { "epoch": 28.62, "learning_rate": 0.00025649999999999995, "loss": 0.2562, "step": 916 }, { "epoch": 28.66, "learning_rate": 0.000256125, "loss": 0.3, "step": 917 }, { "epoch": 28.69, "learning_rate": 0.00025575, "loss": 0.2449, "step": 918 }, { "epoch": 28.72, "learning_rate": 0.00025537499999999996, "loss": 0.2441, "step": 919 }, { "epoch": 28.75, "learning_rate": 0.00025499999999999996, "loss": 0.3006, "step": 920 }, { "epoch": 28.75, "eval_loss": 1.1551755666732788, "eval_mean_accuracy": 0.5317834096584441, "eval_mean_iou": 0.4088655326412011, "eval_overall_accuracy": 0.7012928745202851, "eval_per_category_accuracy": [ 0.6847293996753938, 0.8151594934072673, 0.7326114108420777, 0.44325507803554454, 0.553924478380574, 0.47528299079259195, 0.5780391687619756, 0.49798084454163727, 0.3804002555388943, 0.5856064663879155, 0.19763829416031808, 0.4367730353771395 ], "eval_per_category_iou": [ 0.5946446624900661, 0.5864312556841489, 0.5921941491294092, 0.2834809392038381, 0.40367233890517823, 0.3685974837456725, 0.4676389481527713, 0.4282021114776935, 0.24396694355964202, 0.428451065710109, 0.16577367122535064, 0.34333282241053376 ], "eval_runtime": 121.5289, "eval_samples_per_second": 0.938, "eval_steps_per_second": 0.082, "step": 920 }, { "epoch": 28.78, "learning_rate": 0.00025462499999999997, "loss": 0.2727, "step": 921 }, { "epoch": 28.81, "learning_rate": 0.00025425, "loss": 0.2686, "step": 922 }, { "epoch": 28.84, "learning_rate": 0.000253875, "loss": 0.2407, "step": 923 }, { "epoch": 28.88, "learning_rate": 0.0002535, "loss": 0.276, "step": 924 }, { "epoch": 28.91, "learning_rate": 0.000253125, "loss": 0.2851, "step": 925 }, { "epoch": 28.94, "learning_rate": 0.00025275, "loss": 0.2783, "step": 926 }, { "epoch": 28.97, "learning_rate": 0.000252375, "loss": 0.2292, "step": 927 }, { "epoch": 29.0, "learning_rate": 0.00025199999999999995, "loss": 0.2581, "step": 928 }, { "epoch": 29.03, "learning_rate": 0.00025162499999999995, "loss": 0.249, "step": 929 }, { "epoch": 29.06, "learning_rate": 0.00025125, "loss": 0.3056, "step": 930 }, { "epoch": 29.09, "learning_rate": 0.000250875, "loss": 0.2546, "step": 931 }, { "epoch": 29.12, "learning_rate": 0.00025049999999999996, "loss": 0.2623, "step": 932 }, { "epoch": 29.16, "learning_rate": 0.00025012499999999997, "loss": 0.2781, "step": 933 }, { "epoch": 29.19, "learning_rate": 0.00024974999999999997, "loss": 0.2941, "step": 934 }, { "epoch": 29.22, "learning_rate": 0.000249375, "loss": 0.2379, "step": 935 }, { "epoch": 29.25, "learning_rate": 0.000249, "loss": 0.244, "step": 936 }, { "epoch": 29.28, "learning_rate": 0.000248625, "loss": 0.2522, "step": 937 }, { "epoch": 29.31, "learning_rate": 0.00024825, "loss": 0.2551, "step": 938 }, { "epoch": 29.34, "learning_rate": 0.000247875, "loss": 0.2351, "step": 939 }, { "epoch": 29.38, "learning_rate": 0.00024749999999999994, "loss": 0.2448, "step": 940 }, { "epoch": 29.38, "eval_loss": 1.145183801651001, "eval_mean_accuracy": 0.5433741077070523, "eval_mean_iou": 0.40868834001996196, "eval_overall_accuracy": 0.696986382467705, "eval_per_category_accuracy": [ 0.6598557524640978, 0.789122698542334, 0.7906669227228666, 0.4405902804283107, 0.6099184168782047, 0.5082692468216841, 0.6221579503392117, 0.44603460154225116, 0.3529897163340816, 0.6328604785431643, 0.20407819707204794, 0.4639450307963725 ], "eval_per_category_iou": [ 0.5793061475112379, 0.5826126060468451, 0.5842890156126345, 0.29182189026141914, 0.4037886875861736, 0.3810990667633601, 0.4806175151134428, 0.39815502919530005, 0.23608968120207943, 0.43974682580956126, 0.1657176375263769, 0.36101597761111354 ], "eval_runtime": 121.7058, "eval_samples_per_second": 0.937, "eval_steps_per_second": 0.082, "step": 940 }, { "epoch": 29.41, "learning_rate": 0.00024712499999999995, "loss": 0.2664, "step": 941 }, { "epoch": 29.44, "learning_rate": 0.00024675, "loss": 0.3154, "step": 942 }, { "epoch": 29.47, "learning_rate": 0.000246375, "loss": 0.2909, "step": 943 }, { "epoch": 29.5, "learning_rate": 0.00024599999999999996, "loss": 0.278, "step": 944 }, { "epoch": 29.53, "learning_rate": 0.00024562499999999997, "loss": 0.2459, "step": 945 }, { "epoch": 29.56, "learning_rate": 0.00024524999999999997, "loss": 0.2831, "step": 946 }, { "epoch": 29.59, "learning_rate": 0.000244875, "loss": 0.2497, "step": 947 }, { "epoch": 29.62, "learning_rate": 0.0002445, "loss": 0.2958, "step": 948 }, { "epoch": 29.66, "learning_rate": 0.00024412499999999996, "loss": 0.2965, "step": 949 }, { "epoch": 29.69, "learning_rate": 0.00024375, "loss": 0.2368, "step": 950 }, { "epoch": 29.72, "learning_rate": 0.000243375, "loss": 0.2432, "step": 951 }, { "epoch": 29.75, "learning_rate": 0.000243, "loss": 0.2763, "step": 952 }, { "epoch": 29.78, "learning_rate": 0.00024262499999999998, "loss": 0.265, "step": 953 }, { "epoch": 29.81, "learning_rate": 0.00024224999999999998, "loss": 0.2727, "step": 954 }, { "epoch": 29.84, "learning_rate": 0.00024187499999999998, "loss": 0.2872, "step": 955 }, { "epoch": 29.88, "learning_rate": 0.0002415, "loss": 0.2517, "step": 956 }, { "epoch": 29.91, "learning_rate": 0.00024112499999999997, "loss": 0.265, "step": 957 }, { "epoch": 29.94, "learning_rate": 0.00024074999999999997, "loss": 0.2555, "step": 958 }, { "epoch": 29.97, "learning_rate": 0.00024037499999999997, "loss": 0.2953, "step": 959 }, { "epoch": 30.0, "learning_rate": 0.00023999999999999998, "loss": 0.3151, "step": 960 }, { "epoch": 30.0, "eval_loss": 1.0953387022018433, "eval_mean_accuracy": 0.5538735449840179, "eval_mean_iou": 0.4172366058027075, "eval_overall_accuracy": 0.7053768760279605, "eval_per_category_accuracy": [ 0.7224544019110442, 0.7824803265782354, 0.7538798649370128, 0.393189499031929, 0.582250656899112, 0.5941627138082086, 0.6110833835840094, 0.48486624501372, 0.4447086590419066, 0.6095784779183472, 0.20903973824120864, 0.4587885728434801 ], "eval_per_category_iou": [ 0.6080449519519534, 0.5874099730246047, 0.5948282267183069, 0.2800942232636546, 0.4068426424394449, 0.40096447981033695, 0.4774651092699549, 0.42381419759908145, 0.25314633570426526, 0.446620261464882, 0.17328380627613363, 0.35432506210987114 ], "eval_runtime": 121.2717, "eval_samples_per_second": 0.94, "eval_steps_per_second": 0.082, "step": 960 }, { "epoch": 30.03, "learning_rate": 0.00023962499999999996, "loss": 0.2554, "step": 961 }, { "epoch": 30.06, "learning_rate": 0.00023925, "loss": 0.273, "step": 962 }, { "epoch": 30.09, "learning_rate": 0.000238875, "loss": 0.3226, "step": 963 }, { "epoch": 30.12, "learning_rate": 0.0002385, "loss": 0.2494, "step": 964 }, { "epoch": 30.16, "learning_rate": 0.00023812499999999997, "loss": 0.3182, "step": 965 }, { "epoch": 30.19, "learning_rate": 0.00023774999999999998, "loss": 0.3089, "step": 966 }, { "epoch": 30.22, "learning_rate": 0.00023737499999999998, "loss": 0.2403, "step": 967 }, { "epoch": 30.25, "learning_rate": 0.000237, "loss": 0.2629, "step": 968 }, { "epoch": 30.28, "learning_rate": 0.00023662499999999996, "loss": 0.2556, "step": 969 }, { "epoch": 30.31, "learning_rate": 0.00023624999999999997, "loss": 0.2316, "step": 970 }, { "epoch": 30.34, "learning_rate": 0.00023587499999999997, "loss": 0.2726, "step": 971 }, { "epoch": 30.38, "learning_rate": 0.00023549999999999998, "loss": 0.3058, "step": 972 }, { "epoch": 30.41, "learning_rate": 0.00023512499999999996, "loss": 0.2135, "step": 973 }, { "epoch": 30.44, "learning_rate": 0.00023474999999999996, "loss": 0.2668, "step": 974 }, { "epoch": 30.47, "learning_rate": 0.000234375, "loss": 0.2747, "step": 975 }, { "epoch": 30.5, "learning_rate": 0.000234, "loss": 0.2319, "step": 976 }, { "epoch": 30.53, "learning_rate": 0.000233625, "loss": 0.2292, "step": 977 }, { "epoch": 30.56, "learning_rate": 0.00023324999999999998, "loss": 0.2578, "step": 978 }, { "epoch": 30.59, "learning_rate": 0.00023287499999999998, "loss": 0.2067, "step": 979 }, { "epoch": 30.62, "learning_rate": 0.00023249999999999999, "loss": 0.2548, "step": 980 }, { "epoch": 30.62, "eval_loss": 1.1468321084976196, "eval_mean_accuracy": 0.535823572920069, "eval_mean_iou": 0.41210369379384004, "eval_overall_accuracy": 0.7033535472133703, "eval_per_category_accuracy": [ 0.7125963954415347, 0.8034614291953271, 0.7514321122439284, 0.39369261837183644, 0.568446152505941, 0.5642195841605, 0.5853602855392986, 0.44800072001722896, 0.38008970479933984, 0.5576315571246103, 0.24405824071891843, 0.42089407492236425 ], "eval_per_category_iou": [ 0.6040713635052095, 0.5863880758702054, 0.5928431028454735, 0.2877551330952767, 0.4000327908584789, 0.3917724126721326, 0.4730418164838325, 0.40541937310500836, 0.24892678299297888, 0.4232548049497782, 0.1939322743756065, 0.3378063947720991 ], "eval_runtime": 121.5815, "eval_samples_per_second": 0.938, "eval_steps_per_second": 0.082, "step": 980 }, { "epoch": 30.66, "learning_rate": 0.000232125, "loss": 0.2705, "step": 981 }, { "epoch": 30.69, "learning_rate": 0.00023174999999999997, "loss": 0.2559, "step": 982 }, { "epoch": 30.72, "learning_rate": 0.00023137499999999997, "loss": 0.2682, "step": 983 }, { "epoch": 30.75, "learning_rate": 0.00023099999999999998, "loss": 0.2325, "step": 984 }, { "epoch": 30.78, "learning_rate": 0.00023062499999999998, "loss": 0.2541, "step": 985 }, { "epoch": 30.81, "learning_rate": 0.00023024999999999996, "loss": 0.2479, "step": 986 }, { "epoch": 30.84, "learning_rate": 0.00022987499999999996, "loss": 0.2397, "step": 987 }, { "epoch": 30.88, "learning_rate": 0.0002295, "loss": 0.25, "step": 988 }, { "epoch": 30.91, "learning_rate": 0.000229125, "loss": 0.2854, "step": 989 }, { "epoch": 30.94, "learning_rate": 0.00022874999999999998, "loss": 0.2355, "step": 990 }, { "epoch": 30.97, "learning_rate": 0.00022837499999999998, "loss": 0.2723, "step": 991 }, { "epoch": 31.0, "learning_rate": 0.00022799999999999999, "loss": 0.2641, "step": 992 }, { "epoch": 31.03, "learning_rate": 0.000227625, "loss": 0.248, "step": 993 }, { "epoch": 31.06, "learning_rate": 0.00022724999999999997, "loss": 0.2873, "step": 994 }, { "epoch": 31.09, "learning_rate": 0.00022687499999999997, "loss": 0.2324, "step": 995 }, { "epoch": 31.12, "learning_rate": 0.00022649999999999998, "loss": 0.2885, "step": 996 }, { "epoch": 31.16, "learning_rate": 0.00022612499999999998, "loss": 0.241, "step": 997 }, { "epoch": 31.19, "learning_rate": 0.00022574999999999996, "loss": 0.3232, "step": 998 }, { "epoch": 31.22, "learning_rate": 0.00022537499999999996, "loss": 0.2455, "step": 999 }, { "epoch": 31.25, "learning_rate": 0.000225, "loss": 0.2763, "step": 1000 }, { "epoch": 31.25, "eval_loss": 1.1431658267974854, "eval_mean_accuracy": 0.5426868227912205, "eval_mean_iou": 0.4177925601277734, "eval_overall_accuracy": 0.7066975643760279, "eval_per_category_accuracy": [ 0.7353984134445035, 0.7787834905757239, 0.771003005045886, 0.41441766538747127, 0.5323688683507325, 0.5071351061011327, 0.597358257668673, 0.4926246449468612, 0.3493762366574093, 0.6489998492719942, 0.2640390801712818, 0.42073725587297656 ], "eval_per_category_iou": [ 0.6158041196029302, 0.5862280410550457, 0.59375, 0.29192320383247583, 0.40224742148107556, 0.3852280386894547, 0.4755897842800655, 0.43218721858649817, 0.24180229086035454, 0.4406818496521092, 0.20661681580409666, 0.3414519376891743 ], "eval_runtime": 121.6147, "eval_samples_per_second": 0.937, "eval_steps_per_second": 0.082, "step": 1000 }, { "epoch": 31.28, "learning_rate": 0.000224625, "loss": 0.2853, "step": 1001 }, { "epoch": 31.31, "learning_rate": 0.00022425, "loss": 0.2803, "step": 1002 }, { "epoch": 31.34, "learning_rate": 0.00022387499999999998, "loss": 0.2319, "step": 1003 }, { "epoch": 31.38, "learning_rate": 0.00022349999999999998, "loss": 0.2434, "step": 1004 }, { "epoch": 31.41, "learning_rate": 0.000223125, "loss": 0.269, "step": 1005 }, { "epoch": 31.44, "learning_rate": 0.00022275, "loss": 0.2882, "step": 1006 }, { "epoch": 31.47, "learning_rate": 0.00022237499999999997, "loss": 0.2216, "step": 1007 }, { "epoch": 31.5, "learning_rate": 0.00022199999999999998, "loss": 0.247, "step": 1008 }, { "epoch": 31.53, "learning_rate": 0.00022162499999999998, "loss": 0.2632, "step": 1009 }, { "epoch": 31.56, "learning_rate": 0.00022124999999999998, "loss": 0.2219, "step": 1010 }, { "epoch": 31.59, "learning_rate": 0.00022087499999999996, "loss": 0.2981, "step": 1011 }, { "epoch": 31.62, "learning_rate": 0.00022049999999999997, "loss": 0.218, "step": 1012 }, { "epoch": 31.66, "learning_rate": 0.000220125, "loss": 0.2882, "step": 1013 }, { "epoch": 31.69, "learning_rate": 0.00021975, "loss": 0.2499, "step": 1014 }, { "epoch": 31.72, "learning_rate": 0.00021937499999999998, "loss": 0.2722, "step": 1015 }, { "epoch": 31.75, "learning_rate": 0.00021899999999999998, "loss": 0.2294, "step": 1016 }, { "epoch": 31.78, "learning_rate": 0.000218625, "loss": 0.3083, "step": 1017 }, { "epoch": 31.81, "learning_rate": 0.00021825, "loss": 0.2963, "step": 1018 }, { "epoch": 31.84, "learning_rate": 0.00021787499999999997, "loss": 0.2566, "step": 1019 }, { "epoch": 31.88, "learning_rate": 0.00021749999999999997, "loss": 0.2657, "step": 1020 }, { "epoch": 31.88, "eval_loss": 1.1816933155059814, "eval_mean_accuracy": 0.5321881908963367, "eval_mean_iou": 0.4105139952484221, "eval_overall_accuracy": 0.6971298686245031, "eval_per_category_accuracy": [ 0.6392331447751347, 0.8221980098027152, 0.7585844695827206, 0.3918050534000458, 0.5576845547166065, 0.5289759344412225, 0.6227948087771531, 0.4863244941932539, 0.3432827875034382, 0.5762284723638376, 0.26690704073605886, 0.39223952046385424 ], "eval_per_category_iou": [ 0.5651671201298579, 0.5856504833280027, 0.5956935670832064, 0.29685216147722854, 0.40363255664597747, 0.38836427294358394, 0.4691390602809017, 0.42989402579788466, 0.23865746309627353, 0.42629906196596284, 0.20680005596753884, 0.3200181142646467 ], "eval_runtime": 120.8064, "eval_samples_per_second": 0.944, "eval_steps_per_second": 0.083, "step": 1020 }, { "epoch": 31.91, "learning_rate": 0.00021712499999999998, "loss": 0.2544, "step": 1021 }, { "epoch": 31.94, "learning_rate": 0.00021674999999999998, "loss": 0.2061, "step": 1022 }, { "epoch": 31.97, "learning_rate": 0.00021637499999999996, "loss": 0.2565, "step": 1023 }, { "epoch": 32.0, "learning_rate": 0.00021599999999999996, "loss": 0.2837, "step": 1024 }, { "epoch": 32.03, "learning_rate": 0.00021562499999999997, "loss": 0.2679, "step": 1025 }, { "epoch": 32.06, "learning_rate": 0.00021525, "loss": 0.2731, "step": 1026 }, { "epoch": 32.09, "learning_rate": 0.000214875, "loss": 0.2612, "step": 1027 }, { "epoch": 32.12, "learning_rate": 0.00021449999999999998, "loss": 0.2192, "step": 1028 }, { "epoch": 32.16, "learning_rate": 0.000214125, "loss": 0.378, "step": 1029 }, { "epoch": 32.19, "learning_rate": 0.00021375, "loss": 0.2191, "step": 1030 }, { "epoch": 32.22, "learning_rate": 0.000213375, "loss": 0.3041, "step": 1031 }, { "epoch": 32.25, "learning_rate": 0.00021299999999999997, "loss": 0.3007, "step": 1032 }, { "epoch": 32.28, "learning_rate": 0.00021262499999999998, "loss": 0.2565, "step": 1033 }, { "epoch": 32.31, "learning_rate": 0.00021224999999999998, "loss": 0.3082, "step": 1034 }, { "epoch": 32.34, "learning_rate": 0.000211875, "loss": 0.2468, "step": 1035 }, { "epoch": 32.38, "learning_rate": 0.00021149999999999996, "loss": 0.2739, "step": 1036 }, { "epoch": 32.41, "learning_rate": 0.00021112499999999997, "loss": 0.2404, "step": 1037 }, { "epoch": 32.44, "learning_rate": 0.00021074999999999997, "loss": 0.2498, "step": 1038 }, { "epoch": 32.47, "learning_rate": 0.000210375, "loss": 0.2989, "step": 1039 }, { "epoch": 32.5, "learning_rate": 0.00020999999999999998, "loss": 0.3014, "step": 1040 }, { "epoch": 32.5, "eval_loss": 1.1281774044036865, "eval_mean_accuracy": 0.5466743341302135, "eval_mean_iou": 0.4156135689975531, "eval_overall_accuracy": 0.7047071289597896, "eval_per_category_accuracy": [ 0.7532959506168706, 0.7644732984909485, 0.7679936788741365, 0.40770709432967156, 0.5749553794820575, 0.524410337556571, 0.6095845226868026, 0.4903617336557696, 0.3954885850421018, 0.6112349213319767, 0.20299161649521139, 0.45759489100044365 ], "eval_per_category_iou": [ 0.6192489589596465, 0.5819954415006119, 0.5920585805132285, 0.29659265018060293, 0.4053515164153353, 0.38441974090100683, 0.4816514959824744, 0.427829182426154, 0.251820600897165, 0.4276636793604374, 0.16661307179033685, 0.3521179090436363 ], "eval_runtime": 120.3512, "eval_samples_per_second": 0.947, "eval_steps_per_second": 0.083, "step": 1040 }, { "epoch": 32.53, "learning_rate": 0.00020962499999999999, "loss": 0.234, "step": 1041 }, { "epoch": 32.56, "learning_rate": 0.00020925, "loss": 0.2569, "step": 1042 }, { "epoch": 32.59, "learning_rate": 0.000208875, "loss": 0.2844, "step": 1043 }, { "epoch": 32.62, "learning_rate": 0.00020849999999999997, "loss": 0.2351, "step": 1044 }, { "epoch": 32.66, "learning_rate": 0.00020812499999999998, "loss": 0.2718, "step": 1045 }, { "epoch": 32.69, "learning_rate": 0.00020774999999999998, "loss": 0.2739, "step": 1046 }, { "epoch": 32.72, "learning_rate": 0.00020737499999999999, "loss": 0.2076, "step": 1047 }, { "epoch": 32.75, "learning_rate": 0.00020699999999999996, "loss": 0.2443, "step": 1048 }, { "epoch": 32.78, "learning_rate": 0.00020662499999999997, "loss": 0.2224, "step": 1049 }, { "epoch": 32.81, "learning_rate": 0.00020624999999999997, "loss": 0.2372, "step": 1050 }, { "epoch": 32.84, "learning_rate": 0.000205875, "loss": 0.2557, "step": 1051 }, { "epoch": 32.88, "learning_rate": 0.0002055, "loss": 0.2078, "step": 1052 }, { "epoch": 32.91, "learning_rate": 0.00020512499999999999, "loss": 0.2435, "step": 1053 }, { "epoch": 32.94, "learning_rate": 0.00020475, "loss": 0.2133, "step": 1054 }, { "epoch": 32.97, "learning_rate": 0.000204375, "loss": 0.2495, "step": 1055 }, { "epoch": 33.0, "learning_rate": 0.000204, "loss": 0.2682, "step": 1056 }, { "epoch": 33.03, "learning_rate": 0.00020362499999999998, "loss": 0.2392, "step": 1057 }, { "epoch": 33.06, "learning_rate": 0.00020324999999999998, "loss": 0.2775, "step": 1058 }, { "epoch": 33.09, "learning_rate": 0.00020287499999999998, "loss": 0.2146, "step": 1059 }, { "epoch": 33.12, "learning_rate": 0.0002025, "loss": 0.2202, "step": 1060 }, { "epoch": 33.12, "eval_loss": 1.1772456169128418, "eval_mean_accuracy": 0.5455600505697921, "eval_mean_iou": 0.4153538119319073, "eval_overall_accuracy": 0.6988246315403989, "eval_per_category_accuracy": [ 0.6312917036888891, 0.816038772353258, 0.7677979271432603, 0.42424063677559487, 0.5773621524816301, 0.5217718725842803, 0.6365994435951249, 0.5161773513866225, 0.33743999716067896, 0.5783579618027069, 0.2534211984218565, 0.4862215894436019 ], "eval_per_category_iou": [ 0.5644964927405993, 0.5872290170174665, 0.5960872745704526, 0.28939071900932073, 0.39981986430900285, 0.38982623443776665, 0.48157508749592814, 0.44699313208989705, 0.23746651597554808, 0.4299236550068545, 0.1990011008080604, 0.36243664972198936 ], "eval_runtime": 120.8384, "eval_samples_per_second": 0.943, "eval_steps_per_second": 0.083, "step": 1060 }, { "epoch": 33.16, "learning_rate": 0.00020212499999999997, "loss": 0.2736, "step": 1061 }, { "epoch": 33.19, "learning_rate": 0.00020174999999999997, "loss": 0.2574, "step": 1062 }, { "epoch": 33.22, "learning_rate": 0.00020137499999999998, "loss": 0.1946, "step": 1063 }, { "epoch": 33.25, "learning_rate": 0.000201, "loss": 0.2931, "step": 1064 }, { "epoch": 33.28, "learning_rate": 0.00020062499999999996, "loss": 0.2585, "step": 1065 }, { "epoch": 33.31, "learning_rate": 0.00020025, "loss": 0.2526, "step": 1066 }, { "epoch": 33.34, "learning_rate": 0.000199875, "loss": 0.2499, "step": 1067 }, { "epoch": 33.38, "learning_rate": 0.0001995, "loss": 0.2608, "step": 1068 }, { "epoch": 33.41, "learning_rate": 0.00019912499999999997, "loss": 0.2576, "step": 1069 }, { "epoch": 33.44, "learning_rate": 0.00019874999999999998, "loss": 0.2493, "step": 1070 }, { "epoch": 33.47, "learning_rate": 0.00019837499999999998, "loss": 0.2435, "step": 1071 }, { "epoch": 33.5, "learning_rate": 0.000198, "loss": 0.2652, "step": 1072 }, { "epoch": 33.53, "learning_rate": 0.00019762499999999997, "loss": 0.2535, "step": 1073 }, { "epoch": 33.56, "learning_rate": 0.00019724999999999997, "loss": 0.2255, "step": 1074 }, { "epoch": 33.59, "learning_rate": 0.00019687499999999997, "loss": 0.2522, "step": 1075 }, { "epoch": 33.62, "learning_rate": 0.00019649999999999998, "loss": 0.207, "step": 1076 }, { "epoch": 33.66, "learning_rate": 0.000196125, "loss": 0.2401, "step": 1077 }, { "epoch": 33.69, "learning_rate": 0.00019574999999999996, "loss": 0.2141, "step": 1078 }, { "epoch": 33.72, "learning_rate": 0.000195375, "loss": 0.2697, "step": 1079 }, { "epoch": 33.75, "learning_rate": 0.000195, "loss": 0.284, "step": 1080 }, { "epoch": 33.75, "eval_loss": 1.1533782482147217, "eval_mean_accuracy": 0.5417320223218387, "eval_mean_iou": 0.41501548178977404, "eval_overall_accuracy": 0.7040917580587822, "eval_per_category_accuracy": [ 0.6810307750298491, 0.8023865842535337, 0.7727022784531276, 0.3999833450149548, 0.5764302370104152, 0.5228479452999394, 0.6035001235930467, 0.4833512087610668, 0.40330337258103155, 0.6129805498286447, 0.1784012267647752, 0.46386662127167866 ], "eval_per_category_iou": [ 0.5944681328862195, 0.5890893975968118, 0.5955567168072265, 0.29666879413641883, 0.40911136577026325, 0.38530974019374475, 0.47922598712895736, 0.4270812919692619, 0.25776532685330766, 0.4362124170622798, 0.15489196148827666, 0.35480464958452035 ], "eval_runtime": 122.0109, "eval_samples_per_second": 0.934, "eval_steps_per_second": 0.082, "step": 1080 }, { "epoch": 33.78, "learning_rate": 0.000194625, "loss": 0.2171, "step": 1081 }, { "epoch": 33.81, "learning_rate": 0.00019424999999999998, "loss": 0.2444, "step": 1082 }, { "epoch": 33.84, "learning_rate": 0.00019387499999999998, "loss": 0.2264, "step": 1083 }, { "epoch": 33.88, "learning_rate": 0.0001935, "loss": 0.2576, "step": 1084 }, { "epoch": 33.91, "learning_rate": 0.000193125, "loss": 0.2581, "step": 1085 }, { "epoch": 33.94, "learning_rate": 0.00019274999999999997, "loss": 0.2462, "step": 1086 }, { "epoch": 33.97, "learning_rate": 0.00019237499999999997, "loss": 0.2761, "step": 1087 }, { "epoch": 34.0, "learning_rate": 0.00019199999999999998, "loss": 0.2616, "step": 1088 }, { "epoch": 34.03, "learning_rate": 0.00019162499999999998, "loss": 0.2064, "step": 1089 }, { "epoch": 34.06, "learning_rate": 0.00019124999999999996, "loss": 0.2012, "step": 1090 }, { "epoch": 34.09, "learning_rate": 0.000190875, "loss": 0.2801, "step": 1091 }, { "epoch": 34.12, "learning_rate": 0.0001905, "loss": 0.2011, "step": 1092 }, { "epoch": 34.16, "learning_rate": 0.000190125, "loss": 0.2571, "step": 1093 }, { "epoch": 34.19, "learning_rate": 0.00018974999999999998, "loss": 0.2309, "step": 1094 }, { "epoch": 34.22, "learning_rate": 0.00018937499999999998, "loss": 0.223, "step": 1095 }, { "epoch": 34.25, "learning_rate": 0.00018899999999999999, "loss": 0.249, "step": 1096 }, { "epoch": 34.28, "learning_rate": 0.000188625, "loss": 0.214, "step": 1097 }, { "epoch": 34.31, "learning_rate": 0.00018824999999999997, "loss": 0.2813, "step": 1098 }, { "epoch": 34.34, "learning_rate": 0.00018787499999999997, "loss": 0.2613, "step": 1099 }, { "epoch": 34.38, "learning_rate": 0.00018749999999999998, "loss": 0.2279, "step": 1100 }, { "epoch": 34.38, "eval_loss": 1.192512035369873, "eval_mean_accuracy": 0.5407574615787579, "eval_mean_iou": 0.4143827356829877, "eval_overall_accuracy": 0.7004951343201754, "eval_per_category_accuracy": [ 0.6698231552874635, 0.8025919325914168, 0.7661597191447761, 0.3873255563805942, 0.5848215280577463, 0.517186314822947, 0.5857877442930713, 0.44759035305487666, 0.3628630116323434, 0.6327759874118646, 0.270417767275866, 0.4617464689921281 ], "eval_per_category_iou": [ 0.585538330449646, 0.5855971099792416, 0.5937597026424801, 0.29552482209420533, 0.4122537055734624, 0.38106914892194643, 0.4730210350936634, 0.4056521599804234, 0.23906975248740223, 0.43819710960236985, 0.20950079675228592, 0.353409154618726 ], "eval_runtime": 120.3836, "eval_samples_per_second": 0.947, "eval_steps_per_second": 0.083, "step": 1100 }, { "epoch": 34.41, "learning_rate": 0.00018712499999999998, "loss": 0.1984, "step": 1101 }, { "epoch": 34.44, "learning_rate": 0.00018675, "loss": 0.2619, "step": 1102 }, { "epoch": 34.47, "learning_rate": 0.00018637499999999996, "loss": 0.2283, "step": 1103 }, { "epoch": 34.5, "learning_rate": 0.000186, "loss": 0.2455, "step": 1104 }, { "epoch": 34.53, "learning_rate": 0.000185625, "loss": 0.232, "step": 1105 }, { "epoch": 34.56, "learning_rate": 0.00018525, "loss": 0.2437, "step": 1106 }, { "epoch": 34.59, "learning_rate": 0.00018487499999999998, "loss": 0.2105, "step": 1107 }, { "epoch": 34.62, "learning_rate": 0.00018449999999999999, "loss": 0.2573, "step": 1108 }, { "epoch": 34.66, "learning_rate": 0.000184125, "loss": 0.2402, "step": 1109 }, { "epoch": 34.69, "learning_rate": 0.00018375, "loss": 0.2487, "step": 1110 }, { "epoch": 34.72, "learning_rate": 0.00018337499999999997, "loss": 0.2527, "step": 1111 }, { "epoch": 34.75, "learning_rate": 0.00018299999999999998, "loss": 0.2162, "step": 1112 }, { "epoch": 34.78, "learning_rate": 0.00018262499999999998, "loss": 0.2017, "step": 1113 }, { "epoch": 34.81, "learning_rate": 0.00018224999999999998, "loss": 0.285, "step": 1114 }, { "epoch": 34.84, "learning_rate": 0.00018187499999999996, "loss": 0.2513, "step": 1115 }, { "epoch": 34.88, "learning_rate": 0.00018149999999999997, "loss": 0.2644, "step": 1116 }, { "epoch": 34.91, "learning_rate": 0.000181125, "loss": 0.2352, "step": 1117 }, { "epoch": 34.94, "learning_rate": 0.00018075, "loss": 0.2663, "step": 1118 }, { "epoch": 34.97, "learning_rate": 0.00018037499999999998, "loss": 0.2423, "step": 1119 }, { "epoch": 35.0, "learning_rate": 0.00017999999999999998, "loss": 0.1794, "step": 1120 }, { "epoch": 35.0, "eval_loss": 1.206092119216919, "eval_mean_accuracy": 0.5347156884237316, "eval_mean_iou": 0.41176016396103804, "eval_overall_accuracy": 0.6987620905825966, "eval_per_category_accuracy": [ 0.6473550531350573, 0.8230074379755047, 0.7621060032718504, 0.436999049277937, 0.5386957640390027, 0.49838498361393485, 0.5846100678738375, 0.4864723548742059, 0.3987116580747629, 0.5589208292022212, 0.2367337693939329, 0.44459129035253336 ], "eval_per_category_iou": [ 0.572379474871234, 0.5882666519040893, 0.5917878602959522, 0.308000068474893, 0.39821487405277506, 0.3732805451696248, 0.4741718598355213, 0.42927499865269503, 0.24856113217670764, 0.4172304215858955, 0.19014792615738635, 0.3498061543556824 ], "eval_runtime": 120.9969, "eval_samples_per_second": 0.942, "eval_steps_per_second": 0.083, "step": 1120 }, { "epoch": 35.03, "learning_rate": 0.000179625, "loss": 0.2687, "step": 1121 }, { "epoch": 35.06, "learning_rate": 0.00017925, "loss": 0.2899, "step": 1122 }, { "epoch": 35.09, "learning_rate": 0.00017887499999999997, "loss": 0.2121, "step": 1123 }, { "epoch": 35.12, "learning_rate": 0.00017849999999999997, "loss": 0.2162, "step": 1124 }, { "epoch": 35.16, "learning_rate": 0.00017812499999999998, "loss": 0.2421, "step": 1125 }, { "epoch": 35.19, "learning_rate": 0.00017774999999999998, "loss": 0.2664, "step": 1126 }, { "epoch": 35.22, "learning_rate": 0.000177375, "loss": 0.2348, "step": 1127 }, { "epoch": 35.25, "learning_rate": 0.00017699999999999997, "loss": 0.241, "step": 1128 }, { "epoch": 35.28, "learning_rate": 0.00017662499999999997, "loss": 0.2226, "step": 1129 }, { "epoch": 35.31, "learning_rate": 0.00017625, "loss": 0.237, "step": 1130 }, { "epoch": 35.34, "learning_rate": 0.000175875, "loss": 0.3088, "step": 1131 }, { "epoch": 35.38, "learning_rate": 0.00017549999999999998, "loss": 0.2441, "step": 1132 }, { "epoch": 35.41, "learning_rate": 0.000175125, "loss": 0.2276, "step": 1133 }, { "epoch": 35.44, "learning_rate": 0.00017475, "loss": 0.2258, "step": 1134 }, { "epoch": 35.47, "learning_rate": 0.000174375, "loss": 0.2253, "step": 1135 }, { "epoch": 35.5, "learning_rate": 0.00017399999999999997, "loss": 0.2254, "step": 1136 }, { "epoch": 35.53, "learning_rate": 0.00017362499999999998, "loss": 0.271, "step": 1137 }, { "epoch": 35.56, "learning_rate": 0.00017324999999999998, "loss": 0.2412, "step": 1138 }, { "epoch": 35.59, "learning_rate": 0.000172875, "loss": 0.2575, "step": 1139 }, { "epoch": 35.62, "learning_rate": 0.00017249999999999996, "loss": 0.2021, "step": 1140 }, { "epoch": 35.62, "eval_loss": 1.1695531606674194, "eval_mean_accuracy": 0.5486888116143261, "eval_mean_iou": 0.41512775111190786, "eval_overall_accuracy": 0.7022644846062911, "eval_per_category_accuracy": [ 0.6808699844157919, 0.8069052986823912, 0.7333430543376558, 0.4240914358678982, 0.5945235784743733, 0.5769927306116376, 0.6103111238465305, 0.49709903772697417, 0.37890295733032836, 0.6123656421508521, 0.25974785209036677, 0.40911304383711455 ], "eval_per_category_iou": [ 0.5943270940074863, 0.5878542482460603, 0.5932866960452494, 0.2997890605837626, 0.39529808898150404, 0.3916421557759483, 0.4808459120062469, 0.43273402901881486, 0.24008804380826015, 0.43682411605625127, 0.19610711331105657, 0.3327364555022542 ], "eval_runtime": 121.8454, "eval_samples_per_second": 0.936, "eval_steps_per_second": 0.082, "step": 1140 }, { "epoch": 35.66, "learning_rate": 0.00017212499999999997, "loss": 0.2405, "step": 1141 }, { "epoch": 35.69, "learning_rate": 0.00017175, "loss": 0.216, "step": 1142 }, { "epoch": 35.72, "learning_rate": 0.000171375, "loss": 0.2852, "step": 1143 }, { "epoch": 35.75, "learning_rate": 0.00017099999999999998, "loss": 0.1981, "step": 1144 }, { "epoch": 35.78, "learning_rate": 0.000170625, "loss": 0.2386, "step": 1145 }, { "epoch": 35.81, "learning_rate": 0.00017025, "loss": 0.2219, "step": 1146 }, { "epoch": 35.84, "learning_rate": 0.000169875, "loss": 0.2623, "step": 1147 }, { "epoch": 35.88, "learning_rate": 0.00016949999999999997, "loss": 0.2568, "step": 1148 }, { "epoch": 35.91, "learning_rate": 0.00016912499999999998, "loss": 0.2559, "step": 1149 }, { "epoch": 35.94, "learning_rate": 0.00016874999999999998, "loss": 0.2255, "step": 1150 }, { "epoch": 35.97, "learning_rate": 0.00016837499999999999, "loss": 0.2982, "step": 1151 }, { "epoch": 36.0, "learning_rate": 0.000168, "loss": 0.3005, "step": 1152 }, { "epoch": 36.03, "learning_rate": 0.00016762499999999997, "loss": 0.217, "step": 1153 }, { "epoch": 36.06, "learning_rate": 0.00016724999999999997, "loss": 0.2403, "step": 1154 }, { "epoch": 36.09, "learning_rate": 0.000166875, "loss": 0.2423, "step": 1155 }, { "epoch": 36.12, "learning_rate": 0.0001665, "loss": 0.2376, "step": 1156 }, { "epoch": 36.16, "learning_rate": 0.00016612499999999999, "loss": 0.2437, "step": 1157 }, { "epoch": 36.19, "learning_rate": 0.00016575, "loss": 0.2097, "step": 1158 }, { "epoch": 36.22, "learning_rate": 0.000165375, "loss": 0.2058, "step": 1159 }, { "epoch": 36.25, "learning_rate": 0.000165, "loss": 0.2455, "step": 1160 }, { "epoch": 36.25, "eval_loss": 1.1927894353866577, "eval_mean_accuracy": 0.5286617186936045, "eval_mean_iou": 0.40662404560982357, "eval_overall_accuracy": 0.701735212091814, "eval_per_category_accuracy": [ 0.6739947539676002, 0.8244083340380393, 0.7385555862150832, 0.42733568816316336, 0.5720137680381356, 0.5028671077415539, 0.6549384475138904, 0.4887502665242347, 0.36404310444265015, 0.5348565032875916, 0.1709114727604962, 0.3912655916308149 ], "eval_per_category_iou": [ 0.5895928623616953, 0.5895955023892184, 0.5940881841955401, 0.29616848747478003, 0.3984611932526203, 0.3716724785407725, 0.4835395335402019, 0.43027414936726055, 0.24190659809587822, 0.4155131309398784, 0.15100967896346656, 0.3176667481965697 ], "eval_runtime": 120.7434, "eval_samples_per_second": 0.944, "eval_steps_per_second": 0.083, "step": 1160 }, { "epoch": 36.28, "learning_rate": 0.00016462499999999998, "loss": 0.2383, "step": 1161 }, { "epoch": 36.31, "learning_rate": 0.00016424999999999998, "loss": 0.2802, "step": 1162 }, { "epoch": 36.34, "learning_rate": 0.00016387499999999999, "loss": 0.1941, "step": 1163 }, { "epoch": 36.38, "learning_rate": 0.0001635, "loss": 0.2535, "step": 1164 }, { "epoch": 36.41, "learning_rate": 0.00016312499999999997, "loss": 0.2434, "step": 1165 }, { "epoch": 36.44, "learning_rate": 0.00016274999999999997, "loss": 0.2463, "step": 1166 }, { "epoch": 36.47, "learning_rate": 0.00016237499999999998, "loss": 0.2311, "step": 1167 }, { "epoch": 36.5, "learning_rate": 0.000162, "loss": 0.3015, "step": 1168 }, { "epoch": 36.53, "learning_rate": 0.00016162499999999996, "loss": 0.2338, "step": 1169 }, { "epoch": 36.56, "learning_rate": 0.00016125, "loss": 0.2364, "step": 1170 }, { "epoch": 36.59, "learning_rate": 0.000160875, "loss": 0.2417, "step": 1171 }, { "epoch": 36.62, "learning_rate": 0.0001605, "loss": 0.2409, "step": 1172 }, { "epoch": 36.66, "learning_rate": 0.00016012499999999998, "loss": 0.265, "step": 1173 }, { "epoch": 36.69, "learning_rate": 0.00015974999999999998, "loss": 0.2353, "step": 1174 }, { "epoch": 36.72, "learning_rate": 0.00015937499999999998, "loss": 0.276, "step": 1175 }, { "epoch": 36.75, "learning_rate": 0.000159, "loss": 0.2353, "step": 1176 }, { "epoch": 36.78, "learning_rate": 0.000158625, "loss": 0.2506, "step": 1177 }, { "epoch": 36.81, "learning_rate": 0.00015824999999999997, "loss": 0.2235, "step": 1178 }, { "epoch": 36.84, "learning_rate": 0.00015787499999999997, "loss": 0.2475, "step": 1179 }, { "epoch": 36.88, "learning_rate": 0.00015749999999999998, "loss": 0.2149, "step": 1180 }, { "epoch": 36.88, "eval_loss": 1.1793041229248047, "eval_mean_accuracy": 0.5447525649233147, "eval_mean_iou": 0.41398307085453045, "eval_overall_accuracy": 0.7034388759679961, "eval_per_category_accuracy": [ 0.690103624044232, 0.7961131116854038, 0.7614710942322009, 0.43997265806621744, 0.5809419234330145, 0.5098515999549973, 0.6271134804589159, 0.5144319524788629, 0.36333992883951627, 0.6188657222088068, 0.20328545236951084, 0.4315402313080978 ], "eval_per_category_iou": [ 0.598477367963551, 0.587562916284497, 0.594311420254118, 0.2903604746486162, 0.4041882322429327, 0.3847148130702917, 0.4809337088453609, 0.44490416201414984, 0.2329717344089799, 0.4366151525186739, 0.1705475723368633, 0.34220929566633124 ], "eval_runtime": 119.8592, "eval_samples_per_second": 0.951, "eval_steps_per_second": 0.083, "step": 1180 }, { "epoch": 36.91, "learning_rate": 0.000157125, "loss": 0.1864, "step": 1181 }, { "epoch": 36.94, "learning_rate": 0.00015675, "loss": 0.2087, "step": 1182 }, { "epoch": 36.97, "learning_rate": 0.000156375, "loss": 0.2452, "step": 1183 }, { "epoch": 37.0, "learning_rate": 0.000156, "loss": 0.2422, "step": 1184 }, { "epoch": 37.03, "learning_rate": 0.000155625, "loss": 0.2206, "step": 1185 }, { "epoch": 37.06, "learning_rate": 0.00015524999999999998, "loss": 0.241, "step": 1186 }, { "epoch": 37.09, "learning_rate": 0.00015487499999999998, "loss": 0.2382, "step": 1187 }, { "epoch": 37.12, "learning_rate": 0.0001545, "loss": 0.2637, "step": 1188 }, { "epoch": 37.16, "learning_rate": 0.000154125, "loss": 0.214, "step": 1189 }, { "epoch": 37.19, "learning_rate": 0.00015374999999999997, "loss": 0.2231, "step": 1190 }, { "epoch": 37.22, "learning_rate": 0.00015337499999999997, "loss": 0.2303, "step": 1191 }, { "epoch": 37.25, "learning_rate": 0.00015299999999999998, "loss": 0.2353, "step": 1192 }, { "epoch": 37.28, "learning_rate": 0.000152625, "loss": 0.2069, "step": 1193 }, { "epoch": 37.31, "learning_rate": 0.00015224999999999996, "loss": 0.2343, "step": 1194 }, { "epoch": 37.34, "learning_rate": 0.000151875, "loss": 0.2249, "step": 1195 }, { "epoch": 37.38, "learning_rate": 0.0001515, "loss": 0.2138, "step": 1196 }, { "epoch": 37.41, "learning_rate": 0.000151125, "loss": 0.1916, "step": 1197 }, { "epoch": 37.44, "learning_rate": 0.00015074999999999998, "loss": 0.2689, "step": 1198 }, { "epoch": 37.47, "learning_rate": 0.00015037499999999998, "loss": 0.2109, "step": 1199 }, { "epoch": 37.5, "learning_rate": 0.00015, "loss": 0.2594, "step": 1200 }, { "epoch": 37.5, "eval_loss": 1.2089279890060425, "eval_mean_accuracy": 0.5263138758818015, "eval_mean_iou": 0.40955180839829874, "eval_overall_accuracy": 0.7039898320248252, "eval_per_category_accuracy": [ 0.6883679664568753, 0.8146846051644622, 0.7600189359837624, 0.40760994025024117, 0.5038927729955207, 0.5025005534606717, 0.6290705015673488, 0.4880666787383841, 0.34420113040469197, 0.5878971148364862, 0.2201381640767279, 0.36931814664644524 ], "eval_per_category_iou": [ 0.5975281600925688, 0.5897601388874746, 0.5966038398543478, 0.2958968287952444, 0.3947270277519008, 0.37816552500191186, 0.4780340178254698, 0.43296197974141165, 0.23256685341558678, 0.4289049105175803, 0.17959218326283355, 0.30988023563325356 ], "eval_runtime": 121.6039, "eval_samples_per_second": 0.937, "eval_steps_per_second": 0.082, "step": 1200 }, { "epoch": 37.53, "learning_rate": 0.000149625, "loss": 0.2088, "step": 1201 }, { "epoch": 37.56, "learning_rate": 0.00014925, "loss": 0.1996, "step": 1202 }, { "epoch": 37.59, "learning_rate": 0.000148875, "loss": 0.2592, "step": 1203 }, { "epoch": 37.62, "learning_rate": 0.00014849999999999998, "loss": 0.2244, "step": 1204 }, { "epoch": 37.66, "learning_rate": 0.00014812499999999998, "loss": 0.2332, "step": 1205 }, { "epoch": 37.69, "learning_rate": 0.00014774999999999999, "loss": 0.2074, "step": 1206 }, { "epoch": 37.72, "learning_rate": 0.000147375, "loss": 0.2358, "step": 1207 }, { "epoch": 37.75, "learning_rate": 0.000147, "loss": 0.2484, "step": 1208 }, { "epoch": 37.78, "learning_rate": 0.000146625, "loss": 0.2339, "step": 1209 }, { "epoch": 37.81, "learning_rate": 0.00014624999999999998, "loss": 0.2141, "step": 1210 }, { "epoch": 37.84, "learning_rate": 0.00014587499999999998, "loss": 0.2366, "step": 1211 }, { "epoch": 37.88, "learning_rate": 0.00014549999999999999, "loss": 0.2304, "step": 1212 }, { "epoch": 37.91, "learning_rate": 0.000145125, "loss": 0.2272, "step": 1213 }, { "epoch": 37.94, "learning_rate": 0.00014475, "loss": 0.2436, "step": 1214 }, { "epoch": 37.97, "learning_rate": 0.000144375, "loss": 0.1956, "step": 1215 }, { "epoch": 38.0, "learning_rate": 0.00014399999999999998, "loss": 0.2949, "step": 1216 }, { "epoch": 38.03, "learning_rate": 0.00014362499999999998, "loss": 0.194, "step": 1217 }, { "epoch": 38.06, "learning_rate": 0.00014324999999999999, "loss": 0.2139, "step": 1218 }, { "epoch": 38.09, "learning_rate": 0.000142875, "loss": 0.2356, "step": 1219 }, { "epoch": 38.12, "learning_rate": 0.0001425, "loss": 0.2511, "step": 1220 }, { "epoch": 38.12, "eval_loss": 1.2089366912841797, "eval_mean_accuracy": 0.5381798652178589, "eval_mean_iou": 0.415049205374649, "eval_overall_accuracy": 0.7004293809857285, "eval_per_category_accuracy": [ 0.6432255977482852, 0.8263136270612244, 0.7586329794868737, 0.4105141532674999, 0.5319839467430567, 0.5391396499225155, 0.5871496294570251, 0.5152741154877635, 0.39026689617845134, 0.5752662122573683, 0.26634079451996096, 0.414050780484282 ], "eval_per_category_iou": [ 0.5731277864458117, 0.5890083915684147, 0.5958862828503297, 0.30327755390814853, 0.39756757820661504, 0.3867994412324132, 0.4744467740252867, 0.4434946839953632, 0.24839754450167165, 0.43026452269006366, 0.20763865524161315, 0.33068124983005626 ], "eval_runtime": 120.0903, "eval_samples_per_second": 0.949, "eval_steps_per_second": 0.083, "step": 1220 }, { "epoch": 38.16, "learning_rate": 0.000142125, "loss": 0.2539, "step": 1221 }, { "epoch": 38.19, "learning_rate": 0.00014174999999999998, "loss": 0.2664, "step": 1222 }, { "epoch": 38.22, "learning_rate": 0.00014137499999999998, "loss": 0.2463, "step": 1223 }, { "epoch": 38.25, "learning_rate": 0.00014099999999999998, "loss": 0.227, "step": 1224 }, { "epoch": 38.28, "learning_rate": 0.000140625, "loss": 0.2247, "step": 1225 }, { "epoch": 38.31, "learning_rate": 0.00014025, "loss": 0.2054, "step": 1226 }, { "epoch": 38.34, "learning_rate": 0.000139875, "loss": 0.2078, "step": 1227 }, { "epoch": 38.38, "learning_rate": 0.0001395, "loss": 0.2359, "step": 1228 }, { "epoch": 38.41, "learning_rate": 0.00013912499999999998, "loss": 0.2243, "step": 1229 }, { "epoch": 38.44, "learning_rate": 0.00013874999999999998, "loss": 0.2125, "step": 1230 }, { "epoch": 38.47, "learning_rate": 0.000138375, "loss": 0.248, "step": 1231 }, { "epoch": 38.5, "learning_rate": 0.000138, "loss": 0.2346, "step": 1232 }, { "epoch": 38.53, "learning_rate": 0.000137625, "loss": 0.2263, "step": 1233 }, { "epoch": 38.56, "learning_rate": 0.00013725, "loss": 0.215, "step": 1234 }, { "epoch": 38.59, "learning_rate": 0.00013687499999999998, "loss": 0.2269, "step": 1235 }, { "epoch": 38.62, "learning_rate": 0.00013649999999999998, "loss": 0.2232, "step": 1236 }, { "epoch": 38.66, "learning_rate": 0.000136125, "loss": 0.2086, "step": 1237 }, { "epoch": 38.69, "learning_rate": 0.00013575, "loss": 0.1898, "step": 1238 }, { "epoch": 38.72, "learning_rate": 0.00013537499999999997, "loss": 0.2351, "step": 1239 }, { "epoch": 38.75, "learning_rate": 0.000135, "loss": 0.1822, "step": 1240 }, { "epoch": 38.75, "eval_loss": 1.2078841924667358, "eval_mean_accuracy": 0.5374575435555918, "eval_mean_iou": 0.4111054433363706, "eval_overall_accuracy": 0.7002429962158203, "eval_per_category_accuracy": [ 0.6592882129907363, 0.802385371566499, 0.7735372195093138, 0.4195356035003227, 0.5506870850697012, 0.5083109832002003, 0.6184155213973415, 0.46772940638222416, 0.36316025305448835, 0.6486592769958291, 0.1863500993226471, 0.4514314896777988 ], "eval_per_category_iou": [ 0.5817238536919455, 0.586264443093182, 0.5935163252272255, 0.2958494314775711, 0.40589922664671685, 0.3814028026643284, 0.47835308173029206, 0.4151528897993265, 0.24335850402830217, 0.4402164352462257, 0.15835483468236958, 0.3531734917489618 ], "eval_runtime": 122.8719, "eval_samples_per_second": 0.928, "eval_steps_per_second": 0.081, "step": 1240 }, { "epoch": 38.78, "learning_rate": 0.00013462499999999998, "loss": 0.2076, "step": 1241 }, { "epoch": 38.81, "learning_rate": 0.00013424999999999998, "loss": 0.2237, "step": 1242 }, { "epoch": 38.84, "learning_rate": 0.000133875, "loss": 0.2621, "step": 1243 }, { "epoch": 38.88, "learning_rate": 0.0001335, "loss": 0.2507, "step": 1244 }, { "epoch": 38.91, "learning_rate": 0.00013312499999999997, "loss": 0.2172, "step": 1245 }, { "epoch": 38.94, "learning_rate": 0.00013275, "loss": 0.2163, "step": 1246 }, { "epoch": 38.97, "learning_rate": 0.00013237499999999998, "loss": 0.1983, "step": 1247 }, { "epoch": 39.0, "learning_rate": 0.00013199999999999998, "loss": 0.268, "step": 1248 }, { "epoch": 39.03, "learning_rate": 0.000131625, "loss": 0.2105, "step": 1249 }, { "epoch": 39.06, "learning_rate": 0.00013125, "loss": 0.2187, "step": 1250 }, { "epoch": 39.09, "learning_rate": 0.000130875, "loss": 0.2175, "step": 1251 }, { "epoch": 39.12, "learning_rate": 0.0001305, "loss": 0.1908, "step": 1252 }, { "epoch": 39.16, "learning_rate": 0.000130125, "loss": 0.2414, "step": 1253 }, { "epoch": 39.19, "learning_rate": 0.00012974999999999998, "loss": 0.2304, "step": 1254 }, { "epoch": 39.22, "learning_rate": 0.000129375, "loss": 0.1962, "step": 1255 }, { "epoch": 39.25, "learning_rate": 0.000129, "loss": 0.2076, "step": 1256 }, { "epoch": 39.28, "learning_rate": 0.000128625, "loss": 0.2357, "step": 1257 }, { "epoch": 39.31, "learning_rate": 0.00012824999999999997, "loss": 0.2407, "step": 1258 }, { "epoch": 39.34, "learning_rate": 0.000127875, "loss": 0.2051, "step": 1259 }, { "epoch": 39.38, "learning_rate": 0.00012749999999999998, "loss": 0.202, "step": 1260 }, { "epoch": 39.38, "eval_loss": 1.191946029663086, "eval_mean_accuracy": 0.5415699730514477, "eval_mean_iou": 0.41463356090068654, "eval_overall_accuracy": 0.7053561628910533, "eval_per_category_accuracy": [ 0.7035946173469725, 0.8030445073927827, 0.7471572482785405, 0.40887294328283635, 0.5578608082948581, 0.5694638508523294, 0.6320902654337801, 0.48683986366816634, 0.39428852825568084, 0.5843928190883199, 0.18492989259686637, 0.42630433212623936 ], "eval_per_category_iou": [ 0.6032537220304772, 0.5895821545050566, 0.5971628931474557, 0.30526634837325817, 0.4037920946703913, 0.3923213189599239, 0.47881924214767163, 0.4279964356629629, 0.24973726656063663, 0.4333172070892052, 0.15773466095101843, 0.3366193867101802 ], "eval_runtime": 121.1835, "eval_samples_per_second": 0.941, "eval_steps_per_second": 0.083, "step": 1260 }, { "epoch": 39.41, "learning_rate": 0.000127125, "loss": 0.2142, "step": 1261 }, { "epoch": 39.44, "learning_rate": 0.00012675, "loss": 0.2486, "step": 1262 }, { "epoch": 39.47, "learning_rate": 0.000126375, "loss": 0.2134, "step": 1263 }, { "epoch": 39.5, "learning_rate": 0.00012599999999999997, "loss": 0.2855, "step": 1264 }, { "epoch": 39.53, "learning_rate": 0.000125625, "loss": 0.1992, "step": 1265 }, { "epoch": 39.56, "learning_rate": 0.00012524999999999998, "loss": 0.1953, "step": 1266 }, { "epoch": 39.59, "learning_rate": 0.00012487499999999999, "loss": 0.2632, "step": 1267 }, { "epoch": 39.62, "learning_rate": 0.0001245, "loss": 0.2671, "step": 1268 }, { "epoch": 39.66, "learning_rate": 0.000124125, "loss": 0.2133, "step": 1269 }, { "epoch": 39.69, "learning_rate": 0.00012374999999999997, "loss": 0.2342, "step": 1270 }, { "epoch": 39.72, "learning_rate": 0.000123375, "loss": 0.2251, "step": 1271 }, { "epoch": 39.75, "learning_rate": 0.00012299999999999998, "loss": 0.2148, "step": 1272 }, { "epoch": 39.78, "learning_rate": 0.00012262499999999999, "loss": 0.227, "step": 1273 }, { "epoch": 39.81, "learning_rate": 0.00012225, "loss": 0.2002, "step": 1274 }, { "epoch": 39.84, "learning_rate": 0.000121875, "loss": 0.2177, "step": 1275 }, { "epoch": 39.88, "learning_rate": 0.0001215, "loss": 0.2427, "step": 1276 }, { "epoch": 39.91, "learning_rate": 0.00012112499999999999, "loss": 0.2332, "step": 1277 }, { "epoch": 39.94, "learning_rate": 0.00012075, "loss": 0.2661, "step": 1278 }, { "epoch": 39.97, "learning_rate": 0.00012037499999999999, "loss": 0.2777, "step": 1279 }, { "epoch": 40.0, "learning_rate": 0.00011999999999999999, "loss": 0.2239, "step": 1280 }, { "epoch": 40.0, "eval_loss": 1.205686330795288, "eval_mean_accuracy": 0.5402591155031062, "eval_mean_iou": 0.41392497699356817, "eval_overall_accuracy": 0.7030476018002159, "eval_per_category_accuracy": [ 0.6794993729166052, 0.8039176420577974, 0.7643471608437185, 0.40916787530967863, 0.5661994258590336, 0.5326868428788665, 0.6147691329121199, 0.45756023447703925, 0.3673438151601998, 0.6279798118351213, 0.2298837205743267, 0.4297543512127684 ], "eval_per_category_iou": [ 0.5944679486051297, 0.5886137271158206, 0.5934208596579145, 0.30317435424117073, 0.40594125558844635, 0.3887621938460642, 0.4767783182901575, 0.40792180971685443, 0.24012023193802226, 0.43946154952329713, 0.18589535744252184, 0.34254211795741785 ], "eval_runtime": 120.8929, "eval_samples_per_second": 0.943, "eval_steps_per_second": 0.083, "step": 1280 }, { "epoch": 40.03, "learning_rate": 0.000119625, "loss": 0.2149, "step": 1281 }, { "epoch": 40.06, "learning_rate": 0.00011925, "loss": 0.2077, "step": 1282 }, { "epoch": 40.09, "learning_rate": 0.00011887499999999999, "loss": 0.2276, "step": 1283 }, { "epoch": 40.12, "learning_rate": 0.0001185, "loss": 0.2491, "step": 1284 }, { "epoch": 40.16, "learning_rate": 0.00011812499999999998, "loss": 0.2104, "step": 1285 }, { "epoch": 40.19, "learning_rate": 0.00011774999999999999, "loss": 0.184, "step": 1286 }, { "epoch": 40.22, "learning_rate": 0.00011737499999999998, "loss": 0.2601, "step": 1287 }, { "epoch": 40.25, "learning_rate": 0.000117, "loss": 0.1699, "step": 1288 }, { "epoch": 40.28, "learning_rate": 0.00011662499999999999, "loss": 0.263, "step": 1289 }, { "epoch": 40.31, "learning_rate": 0.00011624999999999999, "loss": 0.2149, "step": 1290 }, { "epoch": 40.34, "learning_rate": 0.00011587499999999998, "loss": 0.2045, "step": 1291 }, { "epoch": 40.38, "learning_rate": 0.00011549999999999999, "loss": 0.1905, "step": 1292 }, { "epoch": 40.41, "learning_rate": 0.00011512499999999998, "loss": 0.1969, "step": 1293 }, { "epoch": 40.44, "learning_rate": 0.00011475, "loss": 0.1929, "step": 1294 }, { "epoch": 40.47, "learning_rate": 0.00011437499999999999, "loss": 0.1865, "step": 1295 }, { "epoch": 40.5, "learning_rate": 0.00011399999999999999, "loss": 0.2141, "step": 1296 }, { "epoch": 40.53, "learning_rate": 0.00011362499999999998, "loss": 0.2481, "step": 1297 }, { "epoch": 40.56, "learning_rate": 0.00011324999999999999, "loss": 0.2185, "step": 1298 }, { "epoch": 40.59, "learning_rate": 0.00011287499999999998, "loss": 0.2283, "step": 1299 }, { "epoch": 40.62, "learning_rate": 0.0001125, "loss": 0.205, "step": 1300 }, { "epoch": 40.62, "eval_loss": 1.2278581857681274, "eval_mean_accuracy": 0.5400553056088017, "eval_mean_iou": 0.41229328192756104, "eval_overall_accuracy": 0.7019564310709635, "eval_per_category_accuracy": [ 0.6716197517833441, 0.8134176705963655, 0.7499810954049992, 0.4063434674290949, 0.6060023459959036, 0.5324092052304755, 0.6147856644661331, 0.45189974188668086, 0.3578032527971749, 0.601534609288496, 0.2598947700275165, 0.4149720923994346 ], "eval_per_category_iou": [ 0.5893931584061195, 0.5893101847046803, 0.5909261886084519, 0.2929218901639836, 0.3994303523643181, 0.3864072171737126, 0.4753690533292104, 0.4069755436224773, 0.24030057310901584, 0.4364868935742486, 0.2014099240244507, 0.33858840405006346 ], "eval_runtime": 121.5488, "eval_samples_per_second": 0.938, "eval_steps_per_second": 0.082, "step": 1300 }, { "epoch": 40.66, "learning_rate": 0.000112125, "loss": 0.2945, "step": 1301 }, { "epoch": 40.69, "learning_rate": 0.00011174999999999999, "loss": 0.2677, "step": 1302 }, { "epoch": 40.72, "learning_rate": 0.000111375, "loss": 0.2366, "step": 1303 }, { "epoch": 40.75, "learning_rate": 0.00011099999999999999, "loss": 0.2419, "step": 1304 }, { "epoch": 40.78, "learning_rate": 0.00011062499999999999, "loss": 0.2268, "step": 1305 }, { "epoch": 40.81, "learning_rate": 0.00011024999999999998, "loss": 0.2102, "step": 1306 }, { "epoch": 40.84, "learning_rate": 0.000109875, "loss": 0.2075, "step": 1307 }, { "epoch": 40.88, "learning_rate": 0.00010949999999999999, "loss": 0.2442, "step": 1308 }, { "epoch": 40.91, "learning_rate": 0.000109125, "loss": 0.2181, "step": 1309 }, { "epoch": 40.94, "learning_rate": 0.00010874999999999999, "loss": 0.2153, "step": 1310 }, { "epoch": 40.97, "learning_rate": 0.00010837499999999999, "loss": 0.2156, "step": 1311 }, { "epoch": 41.0, "learning_rate": 0.00010799999999999998, "loss": 0.2362, "step": 1312 }, { "epoch": 41.03, "learning_rate": 0.000107625, "loss": 0.221, "step": 1313 }, { "epoch": 41.06, "learning_rate": 0.00010724999999999999, "loss": 0.2362, "step": 1314 }, { "epoch": 41.09, "learning_rate": 0.000106875, "loss": 0.2304, "step": 1315 }, { "epoch": 41.12, "learning_rate": 0.00010649999999999999, "loss": 0.227, "step": 1316 }, { "epoch": 41.16, "learning_rate": 0.00010612499999999999, "loss": 0.201, "step": 1317 }, { "epoch": 41.19, "learning_rate": 0.00010574999999999998, "loss": 0.1784, "step": 1318 }, { "epoch": 41.22, "learning_rate": 0.00010537499999999999, "loss": 0.1798, "step": 1319 }, { "epoch": 41.25, "learning_rate": 0.00010499999999999999, "loss": 0.2058, "step": 1320 }, { "epoch": 41.25, "eval_loss": 1.1916838884353638, "eval_mean_accuracy": 0.5428442314377016, "eval_mean_iou": 0.41712092361496583, "eval_overall_accuracy": 0.7062055353532758, "eval_per_category_accuracy": [ 0.727733179796652, 0.7940247837657748, 0.7426212868878586, 0.3889251289026447, 0.5820926364496452, 0.5376171794192474, 0.6216982156942702, 0.5008351985565369, 0.37881422854759855, 0.5879346664503972, 0.24598347785365138, 0.4058507949281418 ], "eval_per_category_iou": [ 0.6118488881327784, 0.5872956844721544, 0.5945713715206621, 0.29506190063782795, 0.40417361213681346, 0.38640237786881293, 0.4833673433163957, 0.43740537161700604, 0.24862637762604278, 0.43074469938740323, 0.1945945684177902, 0.33135888824590265 ], "eval_runtime": 121.5819, "eval_samples_per_second": 0.938, "eval_steps_per_second": 0.082, "step": 1320 }, { "epoch": 41.28, "learning_rate": 0.000104625, "loss": 0.2284, "step": 1321 }, { "epoch": 41.31, "learning_rate": 0.00010424999999999999, "loss": 0.2351, "step": 1322 }, { "epoch": 41.34, "learning_rate": 0.00010387499999999999, "loss": 0.2076, "step": 1323 }, { "epoch": 41.38, "learning_rate": 0.00010349999999999998, "loss": 0.215, "step": 1324 }, { "epoch": 41.41, "learning_rate": 0.00010312499999999999, "loss": 0.2599, "step": 1325 }, { "epoch": 41.44, "learning_rate": 0.00010275, "loss": 0.2101, "step": 1326 }, { "epoch": 41.47, "learning_rate": 0.000102375, "loss": 0.2202, "step": 1327 }, { "epoch": 41.5, "learning_rate": 0.000102, "loss": 0.2204, "step": 1328 }, { "epoch": 41.53, "learning_rate": 0.00010162499999999999, "loss": 0.1776, "step": 1329 }, { "epoch": 41.56, "learning_rate": 0.00010125, "loss": 0.2226, "step": 1330 }, { "epoch": 41.59, "learning_rate": 0.00010087499999999999, "loss": 0.2157, "step": 1331 }, { "epoch": 41.62, "learning_rate": 0.0001005, "loss": 0.1871, "step": 1332 }, { "epoch": 41.66, "learning_rate": 0.000100125, "loss": 0.1964, "step": 1333 }, { "epoch": 41.69, "learning_rate": 9.975e-05, "loss": 0.1925, "step": 1334 }, { "epoch": 41.72, "learning_rate": 9.937499999999999e-05, "loss": 0.218, "step": 1335 }, { "epoch": 41.75, "learning_rate": 9.9e-05, "loss": 0.2306, "step": 1336 }, { "epoch": 41.78, "learning_rate": 9.862499999999998e-05, "loss": 0.2378, "step": 1337 }, { "epoch": 41.81, "learning_rate": 9.824999999999999e-05, "loss": 0.2471, "step": 1338 }, { "epoch": 41.84, "learning_rate": 9.787499999999998e-05, "loss": 0.2303, "step": 1339 }, { "epoch": 41.88, "learning_rate": 9.75e-05, "loss": 0.2189, "step": 1340 }, { "epoch": 41.88, "eval_loss": 1.1985454559326172, "eval_mean_accuracy": 0.5384366691500525, "eval_mean_iou": 0.41643004818995394, "eval_overall_accuracy": 0.7061509584125719, "eval_per_category_accuracy": [ 0.7031471936017376, 0.8041545202585837, 0.7472445661060159, 0.38468157750466686, 0.5514022288986987, 0.539517091954315, 0.5980943054306942, 0.49206213148671774, 0.3565876684737762, 0.6189976744076885, 0.22239090577969042, 0.442960165898047 ], "eval_per_category_iou": [ 0.603842294138224, 0.5894939159875506, 0.597915323339282, 0.2947145124288574, 0.4044935137119342, 0.39095628573382213, 0.47929178484551793, 0.43116520988048407, 0.2413364980280709, 0.4381123592187494, 0.18196571457193303, 0.34387316639502147 ], "eval_runtime": 120.8889, "eval_samples_per_second": 0.943, "eval_steps_per_second": 0.083, "step": 1340 }, { "epoch": 41.91, "learning_rate": 9.712499999999999e-05, "loss": 0.2059, "step": 1341 }, { "epoch": 41.94, "learning_rate": 9.675e-05, "loss": 0.224, "step": 1342 }, { "epoch": 41.97, "learning_rate": 9.637499999999998e-05, "loss": 0.187, "step": 1343 }, { "epoch": 42.0, "learning_rate": 9.599999999999999e-05, "loss": 0.2338, "step": 1344 }, { "epoch": 42.03, "learning_rate": 9.562499999999998e-05, "loss": 0.2027, "step": 1345 }, { "epoch": 42.06, "learning_rate": 9.525e-05, "loss": 0.2356, "step": 1346 }, { "epoch": 42.09, "learning_rate": 9.487499999999999e-05, "loss": 0.2426, "step": 1347 }, { "epoch": 42.12, "learning_rate": 9.449999999999999e-05, "loss": 0.2095, "step": 1348 }, { "epoch": 42.16, "learning_rate": 9.412499999999998e-05, "loss": 0.2229, "step": 1349 }, { "epoch": 42.19, "learning_rate": 9.374999999999999e-05, "loss": 0.2428, "step": 1350 }, { "epoch": 42.22, "learning_rate": 9.3375e-05, "loss": 0.2567, "step": 1351 }, { "epoch": 42.25, "learning_rate": 9.3e-05, "loss": 0.2076, "step": 1352 }, { "epoch": 42.28, "learning_rate": 9.2625e-05, "loss": 0.2191, "step": 1353 }, { "epoch": 42.31, "learning_rate": 9.224999999999999e-05, "loss": 0.2117, "step": 1354 }, { "epoch": 42.34, "learning_rate": 9.1875e-05, "loss": 0.1953, "step": 1355 }, { "epoch": 42.38, "learning_rate": 9.149999999999999e-05, "loss": 0.2186, "step": 1356 }, { "epoch": 42.41, "learning_rate": 9.112499999999999e-05, "loss": 0.1736, "step": 1357 }, { "epoch": 42.44, "learning_rate": 9.074999999999998e-05, "loss": 0.2272, "step": 1358 }, { "epoch": 42.47, "learning_rate": 9.0375e-05, "loss": 0.1994, "step": 1359 }, { "epoch": 42.5, "learning_rate": 8.999999999999999e-05, "loss": 0.2062, "step": 1360 }, { "epoch": 42.5, "eval_loss": 1.2215803861618042, "eval_mean_accuracy": 0.5385122849354729, "eval_mean_iou": 0.4144403878109735, "eval_overall_accuracy": 0.7025854880349678, "eval_per_category_accuracy": [ 0.6718564590617552, 0.8138226272201672, 0.759146899118518, 0.41468483910590487, 0.5515703788641572, 0.5251906263723103, 0.6183249914586971, 0.48296441379133, 0.3684573613834592, 0.5922817873107881, 0.2620281409065449, 0.4018188946320427 ], "eval_per_category_iou": [ 0.5886245196867331, 0.5886885271786583, 0.594060078047334, 0.30461123600087675, 0.39737485842392256, 0.3834340426039297, 0.4841315726539136, 0.42507949800264805, 0.2404092478789335, 0.4352542705486317, 0.20264502796760822, 0.3289717747384923 ], "eval_runtime": 119.7705, "eval_samples_per_second": 0.952, "eval_steps_per_second": 0.083, "step": 1360 }, { "epoch": 42.53, "learning_rate": 8.9625e-05, "loss": 0.2136, "step": 1361 }, { "epoch": 42.56, "learning_rate": 8.924999999999999e-05, "loss": 0.1984, "step": 1362 }, { "epoch": 42.59, "learning_rate": 8.887499999999999e-05, "loss": 0.2049, "step": 1363 }, { "epoch": 42.62, "learning_rate": 8.849999999999998e-05, "loss": 0.2546, "step": 1364 }, { "epoch": 42.66, "learning_rate": 8.8125e-05, "loss": 0.1899, "step": 1365 }, { "epoch": 42.69, "learning_rate": 8.774999999999999e-05, "loss": 0.2047, "step": 1366 }, { "epoch": 42.72, "learning_rate": 8.7375e-05, "loss": 0.2338, "step": 1367 }, { "epoch": 42.75, "learning_rate": 8.699999999999999e-05, "loss": 0.2044, "step": 1368 }, { "epoch": 42.78, "learning_rate": 8.662499999999999e-05, "loss": 0.2675, "step": 1369 }, { "epoch": 42.81, "learning_rate": 8.624999999999998e-05, "loss": 0.2391, "step": 1370 }, { "epoch": 42.84, "learning_rate": 8.5875e-05, "loss": 0.2164, "step": 1371 }, { "epoch": 42.88, "learning_rate": 8.549999999999999e-05, "loss": 0.2141, "step": 1372 }, { "epoch": 42.91, "learning_rate": 8.5125e-05, "loss": 0.2197, "step": 1373 }, { "epoch": 42.94, "learning_rate": 8.474999999999999e-05, "loss": 0.2225, "step": 1374 }, { "epoch": 42.97, "learning_rate": 8.437499999999999e-05, "loss": 0.1972, "step": 1375 }, { "epoch": 43.0, "learning_rate": 8.4e-05, "loss": 0.1842, "step": 1376 }, { "epoch": 43.03, "learning_rate": 8.362499999999999e-05, "loss": 0.2227, "step": 1377 }, { "epoch": 43.06, "learning_rate": 8.325e-05, "loss": 0.2243, "step": 1378 }, { "epoch": 43.09, "learning_rate": 8.2875e-05, "loss": 0.1999, "step": 1379 }, { "epoch": 43.12, "learning_rate": 8.25e-05, "loss": 0.2333, "step": 1380 }, { "epoch": 43.12, "eval_loss": 1.2233190536499023, "eval_mean_accuracy": 0.5419502357871261, "eval_mean_iou": 0.41555464038015716, "eval_overall_accuracy": 0.7028216981051261, "eval_per_category_accuracy": [ 0.6753528840035953, 0.8059138866085881, 0.764177376179183, 0.4105072136903977, 0.5650345315200149, 0.5352128010916785, 0.6400277730107423, 0.4669654595306388, 0.38071524271758517, 0.6113517485752552, 0.24183916770988606, 0.40630474480794826 ], "eval_per_category_iou": [ 0.5887592431675703, 0.5878009496418574, 0.5979673673955744, 0.29830210182346295, 0.40551307607195874, 0.39438344826110733, 0.4878772676866356, 0.41865737307445505, 0.24463496678924712, 0.43755979584211024, 0.19373331142926498, 0.3314667833786434 ], "eval_runtime": 118.4439, "eval_samples_per_second": 0.962, "eval_steps_per_second": 0.084, "step": 1380 }, { "epoch": 43.16, "learning_rate": 8.212499999999999e-05, "loss": 0.1933, "step": 1381 }, { "epoch": 43.19, "learning_rate": 8.175e-05, "loss": 0.247, "step": 1382 }, { "epoch": 43.22, "learning_rate": 8.137499999999999e-05, "loss": 0.1892, "step": 1383 }, { "epoch": 43.25, "learning_rate": 8.1e-05, "loss": 0.1881, "step": 1384 }, { "epoch": 43.28, "learning_rate": 8.0625e-05, "loss": 0.2508, "step": 1385 }, { "epoch": 43.31, "learning_rate": 8.025e-05, "loss": 0.2118, "step": 1386 }, { "epoch": 43.34, "learning_rate": 7.987499999999999e-05, "loss": 0.2577, "step": 1387 }, { "epoch": 43.38, "learning_rate": 7.95e-05, "loss": 0.2003, "step": 1388 }, { "epoch": 43.41, "learning_rate": 7.912499999999999e-05, "loss": 0.2151, "step": 1389 }, { "epoch": 43.44, "learning_rate": 7.874999999999999e-05, "loss": 0.1922, "step": 1390 }, { "epoch": 43.47, "learning_rate": 7.8375e-05, "loss": 0.2273, "step": 1391 }, { "epoch": 43.5, "learning_rate": 7.8e-05, "loss": 0.2456, "step": 1392 }, { "epoch": 43.53, "learning_rate": 7.762499999999999e-05, "loss": 0.2563, "step": 1393 }, { "epoch": 43.56, "learning_rate": 7.725e-05, "loss": 0.1909, "step": 1394 }, { "epoch": 43.59, "learning_rate": 7.687499999999998e-05, "loss": 0.1989, "step": 1395 }, { "epoch": 43.62, "learning_rate": 7.649999999999999e-05, "loss": 0.2266, "step": 1396 }, { "epoch": 43.66, "learning_rate": 7.612499999999998e-05, "loss": 0.2547, "step": 1397 }, { "epoch": 43.69, "learning_rate": 7.575e-05, "loss": 0.1986, "step": 1398 }, { "epoch": 43.72, "learning_rate": 7.537499999999999e-05, "loss": 0.2222, "step": 1399 }, { "epoch": 43.75, "learning_rate": 7.5e-05, "loss": 0.2484, "step": 1400 }, { "epoch": 43.75, "eval_loss": 1.201867938041687, "eval_mean_accuracy": 0.544322121292772, "eval_mean_iou": 0.41711693892539214, "eval_overall_accuracy": 0.7045823482044956, "eval_per_category_accuracy": [ 0.6799161069464629, 0.8108142740701803, 0.7512329362845237, 0.4081824553611703, 0.5735939725328044, 0.5372433666377536, 0.6177298555142179, 0.4925871440495183, 0.364628714408667, 0.6073159931802097, 0.2701882079990695, 0.41843242852868656 ], "eval_per_category_iou": [ 0.5946168145087501, 0.5902119335726044, 0.5968576131907426, 0.29379929371687735, 0.40266003364862923, 0.39009347075053297, 0.48381828136522037, 0.43044762200808206, 0.23968487036553696, 0.43856714034446787, 0.20797806045156075, 0.3366681331817012 ], "eval_runtime": 119.4683, "eval_samples_per_second": 0.954, "eval_steps_per_second": 0.084, "step": 1400 }, { "epoch": 43.78, "learning_rate": 7.4625e-05, "loss": 0.1947, "step": 1401 }, { "epoch": 43.81, "learning_rate": 7.424999999999999e-05, "loss": 0.2332, "step": 1402 }, { "epoch": 43.84, "learning_rate": 7.387499999999999e-05, "loss": 0.267, "step": 1403 }, { "epoch": 43.88, "learning_rate": 7.35e-05, "loss": 0.2099, "step": 1404 }, { "epoch": 43.91, "learning_rate": 7.312499999999999e-05, "loss": 0.2204, "step": 1405 }, { "epoch": 43.94, "learning_rate": 7.274999999999999e-05, "loss": 0.2214, "step": 1406 }, { "epoch": 43.97, "learning_rate": 7.2375e-05, "loss": 0.203, "step": 1407 }, { "epoch": 44.0, "learning_rate": 7.199999999999999e-05, "loss": 0.1898, "step": 1408 }, { "epoch": 44.03, "learning_rate": 7.162499999999999e-05, "loss": 0.2071, "step": 1409 }, { "epoch": 44.06, "learning_rate": 7.125e-05, "loss": 0.2148, "step": 1410 }, { "epoch": 44.09, "learning_rate": 7.087499999999999e-05, "loss": 0.1788, "step": 1411 }, { "epoch": 44.12, "learning_rate": 7.049999999999999e-05, "loss": 0.1988, "step": 1412 }, { "epoch": 44.16, "learning_rate": 7.0125e-05, "loss": 0.2435, "step": 1413 }, { "epoch": 44.19, "learning_rate": 6.975e-05, "loss": 0.2119, "step": 1414 }, { "epoch": 44.22, "learning_rate": 6.937499999999999e-05, "loss": 0.2299, "step": 1415 }, { "epoch": 44.25, "learning_rate": 6.9e-05, "loss": 0.2722, "step": 1416 }, { "epoch": 44.28, "learning_rate": 6.8625e-05, "loss": 0.2116, "step": 1417 }, { "epoch": 44.31, "learning_rate": 6.824999999999999e-05, "loss": 0.2225, "step": 1418 }, { "epoch": 44.34, "learning_rate": 6.7875e-05, "loss": 0.2139, "step": 1419 }, { "epoch": 44.38, "learning_rate": 6.75e-05, "loss": 0.2065, "step": 1420 }, { "epoch": 44.38, "eval_loss": 1.2391397953033447, "eval_mean_accuracy": 0.5367092637127736, "eval_mean_iou": 0.4139386094862935, "eval_overall_accuracy": 0.7044861776786938, "eval_per_category_accuracy": [ 0.6754433379015489, 0.8167576532274533, 0.7571100538488471, 0.39708607157479825, 0.567514237034726, 0.5687434446666352, 0.5982619826214006, 0.48236439943384357, 0.3556183065224528, 0.604266489200521, 0.21481544964540744, 0.4025297388756487 ], "eval_per_category_iou": [ 0.5911919793466145, 0.590792266050845, 0.5983501230191215, 0.29512217136225904, 0.4010275894452334, 0.3950325683633137, 0.47928132806356016, 0.4294050655368374, 0.2392712478097734, 0.4385312759983558, 0.17995456456856854, 0.3293031342710404 ], "eval_runtime": 121.3502, "eval_samples_per_second": 0.939, "eval_steps_per_second": 0.082, "step": 1420 }, { "epoch": 44.41, "learning_rate": 6.712499999999999e-05, "loss": 0.2315, "step": 1421 }, { "epoch": 44.44, "learning_rate": 6.675e-05, "loss": 0.2123, "step": 1422 }, { "epoch": 44.47, "learning_rate": 6.6375e-05, "loss": 0.2273, "step": 1423 }, { "epoch": 44.5, "learning_rate": 6.599999999999999e-05, "loss": 0.2051, "step": 1424 }, { "epoch": 44.53, "learning_rate": 6.5625e-05, "loss": 0.2092, "step": 1425 }, { "epoch": 44.56, "learning_rate": 6.525e-05, "loss": 0.2265, "step": 1426 }, { "epoch": 44.59, "learning_rate": 6.487499999999999e-05, "loss": 0.1972, "step": 1427 }, { "epoch": 44.62, "learning_rate": 6.45e-05, "loss": 0.1769, "step": 1428 }, { "epoch": 44.66, "learning_rate": 6.412499999999999e-05, "loss": 0.2191, "step": 1429 }, { "epoch": 44.69, "learning_rate": 6.374999999999999e-05, "loss": 0.19, "step": 1430 }, { "epoch": 44.72, "learning_rate": 6.3375e-05, "loss": 0.2425, "step": 1431 }, { "epoch": 44.75, "learning_rate": 6.299999999999999e-05, "loss": 0.2113, "step": 1432 }, { "epoch": 44.78, "learning_rate": 6.262499999999999e-05, "loss": 0.2118, "step": 1433 }, { "epoch": 44.81, "learning_rate": 6.225e-05, "loss": 0.2026, "step": 1434 }, { "epoch": 44.84, "learning_rate": 6.187499999999999e-05, "loss": 0.2428, "step": 1435 }, { "epoch": 44.88, "learning_rate": 6.149999999999999e-05, "loss": 0.1812, "step": 1436 }, { "epoch": 44.91, "learning_rate": 6.1125e-05, "loss": 0.2303, "step": 1437 }, { "epoch": 44.94, "learning_rate": 6.075e-05, "loss": 0.1923, "step": 1438 }, { "epoch": 44.97, "learning_rate": 6.0375e-05, "loss": 0.2639, "step": 1439 }, { "epoch": 45.0, "learning_rate": 5.9999999999999995e-05, "loss": 0.2072, "step": 1440 }, { "epoch": 45.0, "eval_loss": 1.2111115455627441, "eval_mean_accuracy": 0.5407650388177646, "eval_mean_iou": 0.4161584309777115, "eval_overall_accuracy": 0.7053119257876748, "eval_per_category_accuracy": [ 0.693233975012698, 0.8080079545801815, 0.7471352761454829, 0.4088139568774679, 0.5584280611903802, 0.5118113951201101, 0.6278636981243771, 0.4885220467775479, 0.37354373885344666, 0.6002218674521907, 0.24139535310807958, 0.4302031425712134 ], "eval_per_category_iou": [ 0.6005611522652172, 0.5897708054265532, 0.5951666816313217, 0.29419652220812814, 0.4009845537940525, 0.38115830783701093, 0.4853986167879391, 0.42906184626937727, 0.24387199175112018, 0.4366663403551029, 0.195869862163169, 0.34119449124354506 ], "eval_runtime": 120.1593, "eval_samples_per_second": 0.949, "eval_steps_per_second": 0.083, "step": 1440 }, { "epoch": 45.03, "learning_rate": 5.9625e-05, "loss": 0.1773, "step": 1441 }, { "epoch": 45.06, "learning_rate": 5.925e-05, "loss": 0.2137, "step": 1442 }, { "epoch": 45.09, "learning_rate": 5.8874999999999995e-05, "loss": 0.2357, "step": 1443 }, { "epoch": 45.12, "learning_rate": 5.85e-05, "loss": 0.1948, "step": 1444 }, { "epoch": 45.16, "learning_rate": 5.8124999999999997e-05, "loss": 0.1802, "step": 1445 }, { "epoch": 45.19, "learning_rate": 5.7749999999999994e-05, "loss": 0.2139, "step": 1446 }, { "epoch": 45.22, "learning_rate": 5.7375e-05, "loss": 0.2451, "step": 1447 }, { "epoch": 45.25, "learning_rate": 5.6999999999999996e-05, "loss": 0.194, "step": 1448 }, { "epoch": 45.28, "learning_rate": 5.6624999999999994e-05, "loss": 0.2362, "step": 1449 }, { "epoch": 45.31, "learning_rate": 5.625e-05, "loss": 0.2293, "step": 1450 }, { "epoch": 45.34, "learning_rate": 5.5874999999999996e-05, "loss": 0.2094, "step": 1451 }, { "epoch": 45.38, "learning_rate": 5.5499999999999994e-05, "loss": 0.1936, "step": 1452 }, { "epoch": 45.41, "learning_rate": 5.512499999999999e-05, "loss": 0.2013, "step": 1453 }, { "epoch": 45.44, "learning_rate": 5.4749999999999996e-05, "loss": 0.2197, "step": 1454 }, { "epoch": 45.47, "learning_rate": 5.4374999999999994e-05, "loss": 0.2146, "step": 1455 }, { "epoch": 45.5, "learning_rate": 5.399999999999999e-05, "loss": 0.212, "step": 1456 }, { "epoch": 45.53, "learning_rate": 5.3624999999999996e-05, "loss": 0.1773, "step": 1457 }, { "epoch": 45.56, "learning_rate": 5.324999999999999e-05, "loss": 0.2205, "step": 1458 }, { "epoch": 45.59, "learning_rate": 5.287499999999999e-05, "loss": 0.2059, "step": 1459 }, { "epoch": 45.62, "learning_rate": 5.2499999999999995e-05, "loss": 0.1899, "step": 1460 }, { "epoch": 45.62, "eval_loss": 1.2186626195907593, "eval_mean_accuracy": 0.5382333206115961, "eval_mean_iou": 0.4155721113962822, "eval_overall_accuracy": 0.7060486642937911, "eval_per_category_accuracy": [ 0.6909288690223152, 0.811623783088772, 0.7568092924430986, 0.4024330157320213, 0.5395587988014756, 0.5541411560613924, 0.6225366016478023, 0.4974772610630326, 0.364628714408667, 0.5905147752561984, 0.22572410647877494, 0.4024234733356031 ], "eval_per_category_iou": [ 0.6002947575662394, 0.5911024089561174, 0.5966849933788959, 0.2917610005936748, 0.4011368531399016, 0.3944847702719636, 0.4833263658677306, 0.43479005950140187, 0.24372737004735795, 0.4341372699386503, 0.18557606411756564, 0.32984342337588535 ], "eval_runtime": 120.6325, "eval_samples_per_second": 0.945, "eval_steps_per_second": 0.083, "step": 1460 }, { "epoch": 45.66, "learning_rate": 5.212499999999999e-05, "loss": 0.2081, "step": 1461 }, { "epoch": 45.69, "learning_rate": 5.174999999999999e-05, "loss": 0.2006, "step": 1462 }, { "epoch": 45.72, "learning_rate": 5.1375e-05, "loss": 0.2027, "step": 1463 }, { "epoch": 45.75, "learning_rate": 5.1e-05, "loss": 0.2181, "step": 1464 }, { "epoch": 45.78, "learning_rate": 5.0625e-05, "loss": 0.183, "step": 1465 }, { "epoch": 45.81, "learning_rate": 5.025e-05, "loss": 0.2126, "step": 1466 }, { "epoch": 45.84, "learning_rate": 4.9875e-05, "loss": 0.2874, "step": 1467 }, { "epoch": 45.88, "learning_rate": 4.95e-05, "loss": 0.2159, "step": 1468 }, { "epoch": 45.91, "learning_rate": 4.9124999999999995e-05, "loss": 0.2796, "step": 1469 }, { "epoch": 45.94, "learning_rate": 4.875e-05, "loss": 0.206, "step": 1470 }, { "epoch": 45.97, "learning_rate": 4.8375e-05, "loss": 0.2062, "step": 1471 }, { "epoch": 46.0, "learning_rate": 4.7999999999999994e-05, "loss": 0.1917, "step": 1472 }, { "epoch": 46.03, "learning_rate": 4.7625e-05, "loss": 0.2048, "step": 1473 }, { "epoch": 46.06, "learning_rate": 4.7249999999999997e-05, "loss": 0.1561, "step": 1474 }, { "epoch": 46.09, "learning_rate": 4.6874999999999994e-05, "loss": 0.2362, "step": 1475 }, { "epoch": 46.12, "learning_rate": 4.65e-05, "loss": 0.1971, "step": 1476 }, { "epoch": 46.16, "learning_rate": 4.6124999999999996e-05, "loss": 0.2101, "step": 1477 }, { "epoch": 46.19, "learning_rate": 4.5749999999999994e-05, "loss": 0.2068, "step": 1478 }, { "epoch": 46.22, "learning_rate": 4.537499999999999e-05, "loss": 0.1963, "step": 1479 }, { "epoch": 46.25, "learning_rate": 4.4999999999999996e-05, "loss": 0.1993, "step": 1480 }, { "epoch": 46.25, "eval_loss": 1.2132420539855957, "eval_mean_accuracy": 0.542613118394146, "eval_mean_iou": 0.41735489371775647, "eval_overall_accuracy": 0.7050070846289919, "eval_per_category_accuracy": [ 0.6835652462614714, 0.8096551069565711, 0.7524941937925015, 0.4019923525860334, 0.5629032813554102, 0.5304221906880696, 0.6222461186272827, 0.49411503775268906, 0.36087548689919524, 0.6064872499232017, 0.2598304934300135, 0.4267706624573132 ], "eval_per_category_iou": [ 0.5963839392150861, 0.5900616733858792, 0.5971839572158605, 0.29516445440880484, 0.401339565572847, 0.3897724469454019, 0.4813518614036359, 0.4352635150631947, 0.24202099963998916, 0.436904019417038, 0.2033395691759346, 0.33947272316940563 ], "eval_runtime": 120.7706, "eval_samples_per_second": 0.944, "eval_steps_per_second": 0.083, "step": 1480 }, { "epoch": 46.28, "learning_rate": 4.4624999999999994e-05, "loss": 0.2167, "step": 1481 }, { "epoch": 46.31, "learning_rate": 4.424999999999999e-05, "loss": 0.2552, "step": 1482 }, { "epoch": 46.34, "learning_rate": 4.3874999999999996e-05, "loss": 0.2103, "step": 1483 }, { "epoch": 46.38, "learning_rate": 4.3499999999999993e-05, "loss": 0.1995, "step": 1484 }, { "epoch": 46.41, "learning_rate": 4.312499999999999e-05, "loss": 0.1848, "step": 1485 }, { "epoch": 46.44, "learning_rate": 4.2749999999999996e-05, "loss": 0.245, "step": 1486 }, { "epoch": 46.47, "learning_rate": 4.237499999999999e-05, "loss": 0.1811, "step": 1487 }, { "epoch": 46.5, "learning_rate": 4.2e-05, "loss": 0.2135, "step": 1488 }, { "epoch": 46.53, "learning_rate": 4.1625e-05, "loss": 0.2282, "step": 1489 }, { "epoch": 46.56, "learning_rate": 4.125e-05, "loss": 0.2299, "step": 1490 }, { "epoch": 46.59, "learning_rate": 4.0875e-05, "loss": 0.1918, "step": 1491 }, { "epoch": 46.62, "learning_rate": 4.05e-05, "loss": 0.2055, "step": 1492 }, { "epoch": 46.66, "learning_rate": 4.0125e-05, "loss": 0.1748, "step": 1493 }, { "epoch": 46.69, "learning_rate": 3.975e-05, "loss": 0.1756, "step": 1494 }, { "epoch": 46.72, "learning_rate": 3.9374999999999995e-05, "loss": 0.1932, "step": 1495 }, { "epoch": 46.75, "learning_rate": 3.9e-05, "loss": 0.225, "step": 1496 }, { "epoch": 46.78, "learning_rate": 3.8625e-05, "loss": 0.2625, "step": 1497 }, { "epoch": 46.81, "learning_rate": 3.8249999999999995e-05, "loss": 0.2108, "step": 1498 }, { "epoch": 46.84, "learning_rate": 3.7875e-05, "loss": 0.271, "step": 1499 }, { "epoch": 46.88, "learning_rate": 3.75e-05, "loss": 0.2307, "step": 1500 }, { "epoch": 46.88, "eval_loss": 1.2265039682388306, "eval_mean_accuracy": 0.5389079411622628, "eval_mean_iou": 0.4159692011117362, "eval_overall_accuracy": 0.7059000584117153, "eval_per_category_accuracy": [ 0.6889055504185769, 0.8124674090359413, 0.7571462936007732, 0.39943164863533215, 0.5560577544483769, 0.5379710313240594, 0.6159302777773404, 0.5005137622935978, 0.3676965120715509, 0.5859486033146601, 0.23176610664405764, 0.4130603443828861 ], "eval_per_category_iou": [ 0.5990133388729494, 0.5912773584964496, 0.5971065220610309, 0.29478856973114437, 0.40079728979877927, 0.3909545989228651, 0.4814390468871046, 0.436967220092064, 0.24266565947579227, 0.4335934952195591, 0.18898311852968483, 0.33404419525341145 ], "eval_runtime": 120.8078, "eval_samples_per_second": 0.944, "eval_steps_per_second": 0.083, "step": 1500 }, { "epoch": 46.91, "learning_rate": 3.7124999999999994e-05, "loss": 0.2222, "step": 1501 }, { "epoch": 46.94, "learning_rate": 3.675e-05, "loss": 0.1913, "step": 1502 }, { "epoch": 46.97, "learning_rate": 3.6374999999999996e-05, "loss": 0.2306, "step": 1503 }, { "epoch": 47.0, "learning_rate": 3.5999999999999994e-05, "loss": 0.2099, "step": 1504 }, { "epoch": 47.03, "learning_rate": 3.5625e-05, "loss": 0.1849, "step": 1505 }, { "epoch": 47.06, "learning_rate": 3.5249999999999996e-05, "loss": 0.2198, "step": 1506 }, { "epoch": 47.09, "learning_rate": 3.4875e-05, "loss": 0.2451, "step": 1507 }, { "epoch": 47.12, "learning_rate": 3.45e-05, "loss": 0.2289, "step": 1508 }, { "epoch": 47.16, "learning_rate": 3.4124999999999996e-05, "loss": 0.2109, "step": 1509 }, { "epoch": 47.19, "learning_rate": 3.375e-05, "loss": 0.1748, "step": 1510 }, { "epoch": 47.22, "learning_rate": 3.3375e-05, "loss": 0.195, "step": 1511 }, { "epoch": 47.25, "learning_rate": 3.2999999999999996e-05, "loss": 0.2413, "step": 1512 }, { "epoch": 47.28, "learning_rate": 3.2625e-05, "loss": 0.1991, "step": 1513 }, { "epoch": 47.31, "learning_rate": 3.225e-05, "loss": 0.2139, "step": 1514 }, { "epoch": 47.34, "learning_rate": 3.1874999999999996e-05, "loss": 0.2668, "step": 1515 }, { "epoch": 47.38, "learning_rate": 3.149999999999999e-05, "loss": 0.2191, "step": 1516 }, { "epoch": 47.41, "learning_rate": 3.1125e-05, "loss": 0.2043, "step": 1517 }, { "epoch": 47.44, "learning_rate": 3.0749999999999995e-05, "loss": 0.1925, "step": 1518 }, { "epoch": 47.47, "learning_rate": 3.0375e-05, "loss": 0.2236, "step": 1519 }, { "epoch": 47.5, "learning_rate": 2.9999999999999997e-05, "loss": 0.2274, "step": 1520 }, { "epoch": 47.5, "eval_loss": 1.228417158126831, "eval_mean_accuracy": 0.5417850315296816, "eval_mean_iou": 0.4162704929646823, "eval_overall_accuracy": 0.7056037166662383, "eval_per_category_accuracy": [ 0.6935326490848371, 0.8064145646623322, 0.7524120123078187, 0.40547255050277237, 0.5592242411473095, 0.5387694663913275, 0.6155697324564787, 0.48629663638379916, 0.38145169161424275, 0.6083450117114095, 0.22693005787954565, 0.42700176421430563 ], "eval_per_category_iou": [ 0.6012910052936997, 0.5902791035178767, 0.5959089289092157, 0.2969911531413845, 0.4017976579500877, 0.3901580059501908, 0.48168540024898715, 0.4292969086226189, 0.24509351189101825, 0.4384137950994141, 0.18475665977223454, 0.3395737851794602 ], "eval_runtime": 121.0337, "eval_samples_per_second": 0.942, "eval_steps_per_second": 0.083, "step": 1520 }, { "epoch": 47.53, "learning_rate": 2.9625e-05, "loss": 0.201, "step": 1521 }, { "epoch": 47.56, "learning_rate": 2.925e-05, "loss": 0.1997, "step": 1522 }, { "epoch": 47.59, "learning_rate": 2.8874999999999997e-05, "loss": 0.1815, "step": 1523 }, { "epoch": 47.62, "learning_rate": 2.8499999999999998e-05, "loss": 0.2201, "step": 1524 }, { "epoch": 47.66, "learning_rate": 2.8125e-05, "loss": 0.1775, "step": 1525 }, { "epoch": 47.69, "learning_rate": 2.7749999999999997e-05, "loss": 0.175, "step": 1526 }, { "epoch": 47.72, "learning_rate": 2.7374999999999998e-05, "loss": 0.2122, "step": 1527 }, { "epoch": 47.75, "learning_rate": 2.6999999999999996e-05, "loss": 0.22, "step": 1528 }, { "epoch": 47.78, "learning_rate": 2.6624999999999997e-05, "loss": 0.2389, "step": 1529 }, { "epoch": 47.81, "learning_rate": 2.6249999999999998e-05, "loss": 0.2338, "step": 1530 }, { "epoch": 47.84, "learning_rate": 2.5874999999999995e-05, "loss": 0.2138, "step": 1531 }, { "epoch": 47.88, "learning_rate": 2.55e-05, "loss": 0.2325, "step": 1532 }, { "epoch": 47.91, "learning_rate": 2.5125e-05, "loss": 0.207, "step": 1533 }, { "epoch": 47.94, "learning_rate": 2.475e-05, "loss": 0.2198, "step": 1534 }, { "epoch": 47.97, "learning_rate": 2.4375e-05, "loss": 0.258, "step": 1535 }, { "epoch": 48.0, "learning_rate": 2.3999999999999997e-05, "loss": 0.2143, "step": 1536 }, { "epoch": 48.03, "learning_rate": 2.3624999999999998e-05, "loss": 0.2141, "step": 1537 }, { "epoch": 48.06, "learning_rate": 2.325e-05, "loss": 0.2572, "step": 1538 }, { "epoch": 48.09, "learning_rate": 2.2874999999999997e-05, "loss": 0.1879, "step": 1539 }, { "epoch": 48.12, "learning_rate": 2.2499999999999998e-05, "loss": 0.2162, "step": 1540 }, { "epoch": 48.12, "eval_loss": 1.238689661026001, "eval_mean_accuracy": 0.5359523890899606, "eval_mean_iou": 0.41398860077625316, "eval_overall_accuracy": 0.7056294491416529, "eval_per_category_accuracy": [ 0.6929335388516379, 0.8110093549911692, 0.7534561166566175, 0.39843928910972165, 0.5536307224168214, 0.5392086056783251, 0.6108369847075253, 0.48347014017835427, 0.3579252548734284, 0.6028045840089582, 0.2204044528378118, 0.40730962476915616 ], "eval_per_category_iou": [ 0.6014395714550632, 0.590602100980571, 0.5963685863817585, 0.29323170031026163, 0.40124627790470263, 0.3876715778047695, 0.4818528555531268, 0.4285345256591918, 0.24055739508589472, 0.4356924352800369, 0.18182437960185438, 0.3288418032978053 ], "eval_runtime": 121.637, "eval_samples_per_second": 0.937, "eval_steps_per_second": 0.082, "step": 1540 }, { "epoch": 48.16, "learning_rate": 2.2124999999999996e-05, "loss": 0.1866, "step": 1541 }, { "epoch": 48.19, "learning_rate": 2.1749999999999997e-05, "loss": 0.1975, "step": 1542 }, { "epoch": 48.22, "learning_rate": 2.1374999999999998e-05, "loss": 0.2603, "step": 1543 }, { "epoch": 48.25, "learning_rate": 2.1e-05, "loss": 0.1973, "step": 1544 }, { "epoch": 48.28, "learning_rate": 2.0625e-05, "loss": 0.1866, "step": 1545 }, { "epoch": 48.31, "learning_rate": 2.025e-05, "loss": 0.2273, "step": 1546 }, { "epoch": 48.34, "learning_rate": 1.9875e-05, "loss": 0.2041, "step": 1547 }, { "epoch": 48.38, "learning_rate": 1.95e-05, "loss": 0.2279, "step": 1548 }, { "epoch": 48.41, "learning_rate": 1.9124999999999997e-05, "loss": 0.23, "step": 1549 }, { "epoch": 48.44, "learning_rate": 1.875e-05, "loss": 0.1929, "step": 1550 }, { "epoch": 48.47, "learning_rate": 1.8375e-05, "loss": 0.2324, "step": 1551 }, { "epoch": 48.5, "learning_rate": 1.7999999999999997e-05, "loss": 0.1811, "step": 1552 }, { "epoch": 48.53, "learning_rate": 1.7624999999999998e-05, "loss": 0.1918, "step": 1553 }, { "epoch": 48.56, "learning_rate": 1.725e-05, "loss": 0.2154, "step": 1554 }, { "epoch": 48.59, "learning_rate": 1.6875e-05, "loss": 0.1683, "step": 1555 }, { "epoch": 48.62, "learning_rate": 1.6499999999999998e-05, "loss": 0.2156, "step": 1556 }, { "epoch": 48.66, "learning_rate": 1.6125e-05, "loss": 0.2146, "step": 1557 }, { "epoch": 48.69, "learning_rate": 1.5749999999999997e-05, "loss": 0.1849, "step": 1558 }, { "epoch": 48.72, "learning_rate": 1.5374999999999998e-05, "loss": 0.2477, "step": 1559 }, { "epoch": 48.75, "learning_rate": 1.4999999999999999e-05, "loss": 0.1964, "step": 1560 }, { "epoch": 48.75, "eval_loss": 1.2338758707046509, "eval_mean_accuracy": 0.5383149903358363, "eval_mean_iou": 0.41519941353660733, "eval_overall_accuracy": 0.7056235263222143, "eval_per_category_accuracy": [ 0.6928750962357523, 0.8105594481012798, 0.7520747257977668, 0.4031408525964428, 0.5630126801281181, 0.5324237222316986, 0.610259954750775, 0.4977269098939153, 0.35636141007781513, 0.5972552899532222, 0.23397599728201815, 0.4101137969812333 ], "eval_per_category_iou": [ 0.6005822858729871, 0.590471088009995, 0.5970726765397967, 0.2950545738969673, 0.40192845593361043, 0.38627175030641653, 0.48217857747081594, 0.43427583144413023, 0.23918969822124883, 0.43495438720699603, 0.18943056591523538, 0.3309830716210894 ], "eval_runtime": 121.5564, "eval_samples_per_second": 0.938, "eval_steps_per_second": 0.082, "step": 1560 }, { "epoch": 48.78, "learning_rate": 1.4625e-05, "loss": 0.2095, "step": 1561 }, { "epoch": 48.81, "learning_rate": 1.4249999999999999e-05, "loss": 0.1985, "step": 1562 }, { "epoch": 48.84, "learning_rate": 1.3874999999999998e-05, "loss": 0.2149, "step": 1563 }, { "epoch": 48.88, "learning_rate": 1.3499999999999998e-05, "loss": 0.2221, "step": 1564 }, { "epoch": 48.91, "learning_rate": 1.3124999999999999e-05, "loss": 0.2061, "step": 1565 }, { "epoch": 48.94, "learning_rate": 1.275e-05, "loss": 0.2173, "step": 1566 }, { "epoch": 48.97, "learning_rate": 1.2375e-05, "loss": 0.2114, "step": 1567 }, { "epoch": 49.0, "learning_rate": 1.1999999999999999e-05, "loss": 0.2642, "step": 1568 }, { "epoch": 49.03, "learning_rate": 1.1625e-05, "loss": 0.2254, "step": 1569 }, { "epoch": 49.06, "learning_rate": 1.1249999999999999e-05, "loss": 0.2391, "step": 1570 }, { "epoch": 49.09, "learning_rate": 1.0874999999999998e-05, "loss": 0.1892, "step": 1571 }, { "epoch": 49.12, "learning_rate": 1.05e-05, "loss": 0.1954, "step": 1572 }, { "epoch": 49.16, "learning_rate": 1.0125e-05, "loss": 0.1884, "step": 1573 }, { "epoch": 49.19, "learning_rate": 9.75e-06, "loss": 0.1996, "step": 1574 }, { "epoch": 49.22, "learning_rate": 9.375e-06, "loss": 0.2168, "step": 1575 }, { "epoch": 49.25, "learning_rate": 8.999999999999999e-06, "loss": 0.2033, "step": 1576 }, { "epoch": 49.28, "learning_rate": 8.625e-06, "loss": 0.1984, "step": 1577 }, { "epoch": 49.31, "learning_rate": 8.249999999999999e-06, "loss": 0.1963, "step": 1578 }, { "epoch": 49.34, "learning_rate": 7.874999999999998e-06, "loss": 0.1986, "step": 1579 }, { "epoch": 49.38, "learning_rate": 7.499999999999999e-06, "loss": 0.2199, "step": 1580 }, { "epoch": 49.38, "eval_loss": 1.2340189218521118, "eval_mean_accuracy": 0.5405919375104974, "eval_mean_iou": 0.4152986757418806, "eval_overall_accuracy": 0.7049936662640488, "eval_per_category_accuracy": [ 0.6868409695659343, 0.8073299816819581, 0.7543455600168815, 0.40291184655207113, 0.5607922902227885, 0.5419142117812723, 0.6187343442247409, 0.49715261043746406, 0.35784096252983505, 0.6150245050358278, 0.22603630709521813, 0.4181796609819761 ], "eval_per_category_iou": [ 0.5980365545449745, 0.5901125587428404, 0.5967057419281152, 0.2953850536994358, 0.401904031802587, 0.38961172813010847, 0.48294437559179315, 0.4336928450653673, 0.23825833436719068, 0.4381406450404767, 0.18425858928615985, 0.3345336507035186 ], "eval_runtime": 120.7449, "eval_samples_per_second": 0.944, "eval_steps_per_second": 0.083, "step": 1580 }, { "epoch": 49.41, "learning_rate": 7.1249999999999995e-06, "loss": 0.238, "step": 1581 }, { "epoch": 49.44, "learning_rate": 6.749999999999999e-06, "loss": 0.1921, "step": 1582 }, { "epoch": 49.47, "learning_rate": 6.375e-06, "loss": 0.2344, "step": 1583 }, { "epoch": 49.5, "learning_rate": 5.999999999999999e-06, "loss": 0.2126, "step": 1584 }, { "epoch": 49.53, "learning_rate": 5.6249999999999995e-06, "loss": 0.1864, "step": 1585 }, { "epoch": 49.56, "learning_rate": 5.25e-06, "loss": 0.1963, "step": 1586 }, { "epoch": 49.59, "learning_rate": 4.875e-06, "loss": 0.1962, "step": 1587 }, { "epoch": 49.62, "learning_rate": 4.499999999999999e-06, "loss": 0.2059, "step": 1588 }, { "epoch": 49.66, "learning_rate": 4.1249999999999995e-06, "loss": 0.1905, "step": 1589 }, { "epoch": 49.69, "learning_rate": 3.7499999999999997e-06, "loss": 0.203, "step": 1590 }, { "epoch": 49.72, "learning_rate": 3.3749999999999995e-06, "loss": 0.1977, "step": 1591 }, { "epoch": 49.75, "learning_rate": 2.9999999999999997e-06, "loss": 0.2377, "step": 1592 }, { "epoch": 49.78, "learning_rate": 2.625e-06, "loss": 0.212, "step": 1593 }, { "epoch": 49.81, "learning_rate": 2.2499999999999996e-06, "loss": 0.1973, "step": 1594 }, { "epoch": 49.84, "learning_rate": 1.8749999999999998e-06, "loss": 0.2026, "step": 1595 }, { "epoch": 49.88, "learning_rate": 1.4999999999999998e-06, "loss": 0.2187, "step": 1596 }, { "epoch": 49.91, "learning_rate": 1.1249999999999998e-06, "loss": 0.1904, "step": 1597 }, { "epoch": 49.94, "learning_rate": 7.499999999999999e-07, "loss": 0.2054, "step": 1598 }, { "epoch": 49.97, "learning_rate": 3.7499999999999996e-07, "loss": 0.2161, "step": 1599 }, { "epoch": 50.0, "learning_rate": 0.0, "loss": 0.2031, "step": 1600 }, { "epoch": 50.0, "eval_loss": 1.229608178138733, "eval_mean_accuracy": 0.5404716490223255, "eval_mean_iou": 0.4154950472956, "eval_overall_accuracy": 0.7054718753747773, "eval_per_category_accuracy": [ 0.6946913693912526, 0.8044984383016367, 0.7569579610317086, 0.3999798752264037, 0.5655491109323815, 0.5352581667205005, 0.623003421244464, 0.48813096599097194, 0.35956230091479374, 0.6079757541746181, 0.22768301230743804, 0.4223694120317352 ], "eval_per_category_iou": [ 0.601148619354301, 0.5898795376412639, 0.5965897373214338, 0.2955056986264849, 0.40248939921941346, 0.38841403757346077, 0.4836819971164877, 0.42991142792973874, 0.23916953526494633, 0.4374508636182315, 0.18560603225218886, 0.3360936816292486 ], "eval_runtime": 121.227, "eval_samples_per_second": 0.94, "eval_steps_per_second": 0.082, "step": 1600 } ], "max_steps": 1600, "num_train_epochs": 50, "total_flos": 3.31530475143168e+17, "trial_name": null, "trial_params": null }