| { | |
| "best_metric": 0.9291033148765564, | |
| "best_model_checkpoint": "segformer-finetuned-segments-cmp-facade-outputs-transforms/checkpoint-360", | |
| "epoch": 11.25, | |
| "global_step": 360, | |
| "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": 1.4974, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "learning_rate": 0.00059925, | |
| "loss": 1.5572, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "learning_rate": 0.000598875, | |
| "loss": 1.5276, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "learning_rate": 0.0005985, | |
| "loss": 1.5646, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "learning_rate": 0.0005981249999999999, | |
| "loss": 1.3389, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "learning_rate": 0.00059775, | |
| "loss": 1.5391, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "learning_rate": 0.0005973749999999999, | |
| "loss": 1.3854, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "learning_rate": 0.000597, | |
| "loss": 1.4288, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "learning_rate": 0.0005966249999999999, | |
| "loss": 1.3674, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "learning_rate": 0.00059625, | |
| "loss": 1.2815, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.34, | |
| "learning_rate": 0.0005958749999999999, | |
| "loss": 1.3141, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "learning_rate": 0.0005955, | |
| "loss": 1.2826, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "learning_rate": 0.000595125, | |
| "loss": 1.2023, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "learning_rate": 0.0005947499999999999, | |
| "loss": 1.2487, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.47, | |
| "learning_rate": 0.000594375, | |
| "loss": 1.2041, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "learning_rate": 0.0005939999999999999, | |
| "loss": 1.3763, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "learning_rate": 0.000593625, | |
| "loss": 1.2913, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "learning_rate": 0.0005932499999999999, | |
| "loss": 1.2048, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.59, | |
| "learning_rate": 0.000592875, | |
| "loss": 1.2608, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 0.62, | |
| "learning_rate": 0.0005924999999999999, | |
| "loss": 1.2328, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.62, | |
| "eval_loss": 1.2321703433990479, | |
| "eval_mean_accuracy": 0.27640981040002394, | |
| "eval_mean_iou": 0.19381676955791272, | |
| "eval_overall_accuracy": 0.5843182279352557, | |
| "eval_per_category_accuracy": [ | |
| 0.6484014402727478, | |
| 0.7268698138428387, | |
| 0.7396621827345261, | |
| 0.0, | |
| 0.314071721025026, | |
| 0.16580774409430243, | |
| 0.18421110637031626, | |
| 0.0, | |
| 0.0, | |
| 0.48692030347962645, | |
| 0.0, | |
| 0.05097341298090315 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.46588897486611575, | |
| 0.4794379279754499, | |
| 0.47516306513696516, | |
| 0.0, | |
| 0.21479697731322273, | |
| 0.1468532929608522, | |
| 0.15399766900533918, | |
| 0.0, | |
| 0.0, | |
| 0.34140124873016997, | |
| 0.0, | |
| 0.04826207870683769 | |
| ], | |
| "eval_runtime": 121.98, | |
| "eval_samples_per_second": 0.935, | |
| "eval_steps_per_second": 0.082, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.66, | |
| "learning_rate": 0.0005921249999999999, | |
| "loss": 1.2252, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "learning_rate": 0.0005917499999999999, | |
| "loss": 1.1954, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 0.72, | |
| "learning_rate": 0.0005913749999999999, | |
| "loss": 1.2127, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "learning_rate": 0.0005909999999999999, | |
| "loss": 1.1908, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.78, | |
| "learning_rate": 0.0005906249999999999, | |
| "loss": 1.1458, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "learning_rate": 0.00059025, | |
| "loss": 1.0854, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 0.84, | |
| "learning_rate": 0.000589875, | |
| "loss": 1.1372, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 0.88, | |
| "learning_rate": 0.0005895, | |
| "loss": 1.0638, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 0.91, | |
| "learning_rate": 0.000589125, | |
| "loss": 1.1055, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "learning_rate": 0.00058875, | |
| "loss": 1.1073, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.97, | |
| "learning_rate": 0.0005883749999999999, | |
| "loss": 1.0367, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 0.000588, | |
| "loss": 1.2498, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 1.03, | |
| "learning_rate": 0.0005876249999999999, | |
| "loss": 1.2009, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "learning_rate": 0.00058725, | |
| "loss": 1.2267, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 1.09, | |
| "learning_rate": 0.0005868749999999999, | |
| "loss": 0.9791, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 1.12, | |
| "learning_rate": 0.0005865, | |
| "loss": 1.0073, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 1.16, | |
| "learning_rate": 0.000586125, | |
| "loss": 1.0052, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 1.19, | |
| "learning_rate": 0.0005857499999999999, | |
| "loss": 1.0387, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 1.22, | |
| "learning_rate": 0.000585375, | |
| "loss": 1.076, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "learning_rate": 0.0005849999999999999, | |
| "loss": 1.1158, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "eval_loss": 1.1340055465698242, | |
| "eval_mean_accuracy": 0.3584914050139854, | |
| "eval_mean_iou": 0.25033676612937344, | |
| "eval_overall_accuracy": 0.6050458539996231, | |
| "eval_per_category_accuracy": [ | |
| 0.8000948297521079, | |
| 0.6337371473364622, | |
| 0.6603131057495936, | |
| 0.003965968313890952, | |
| 0.34629573729708046, | |
| 0.3680114248799625, | |
| 0.4865078902745655, | |
| 0.04561502007369462, | |
| 0.0118031463226356, | |
| 0.5511836320859765, | |
| 0.0, | |
| 0.3943689580818554 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.5176739126303989, | |
| 0.47108775141725884, | |
| 0.49329266238923963, | |
| 0.003963836494345551, | |
| 0.26672845921223864, | |
| 0.2701529378697397, | |
| 0.31332750965950773, | |
| 0.04532147556410988, | |
| 0.011623004855842847, | |
| 0.3621998398780441, | |
| 0.0, | |
| 0.24866980358175594 | |
| ], | |
| "eval_runtime": 124.8448, | |
| "eval_samples_per_second": 0.913, | |
| "eval_steps_per_second": 0.08, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 1.28, | |
| "learning_rate": 0.000584625, | |
| "loss": 1.0057, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 1.31, | |
| "learning_rate": 0.0005842499999999999, | |
| "loss": 0.9904, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 1.34, | |
| "learning_rate": 0.000583875, | |
| "loss": 1.1023, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "learning_rate": 0.0005834999999999999, | |
| "loss": 1.1263, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 1.41, | |
| "learning_rate": 0.000583125, | |
| "loss": 0.9288, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 1.44, | |
| "learning_rate": 0.0005827499999999999, | |
| "loss": 0.9942, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 1.47, | |
| "learning_rate": 0.0005823749999999999, | |
| "loss": 0.9388, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "learning_rate": 0.0005819999999999999, | |
| "loss": 1.0192, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 1.53, | |
| "learning_rate": 0.0005816249999999999, | |
| "loss": 1.0228, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 1.56, | |
| "learning_rate": 0.00058125, | |
| "loss": 0.9034, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "learning_rate": 0.000580875, | |
| "loss": 1.0346, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 1.62, | |
| "learning_rate": 0.0005805, | |
| "loss": 0.8394, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 1.66, | |
| "learning_rate": 0.000580125, | |
| "loss": 0.9892, | |
| "step": 53 | |
| }, | |
| { | |
| "epoch": 1.69, | |
| "learning_rate": 0.00057975, | |
| "loss": 1.0063, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 1.72, | |
| "learning_rate": 0.0005793749999999999, | |
| "loss": 1.0106, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "learning_rate": 0.000579, | |
| "loss": 0.9481, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 1.78, | |
| "learning_rate": 0.0005786249999999999, | |
| "loss": 1.0124, | |
| "step": 57 | |
| }, | |
| { | |
| "epoch": 1.81, | |
| "learning_rate": 0.00057825, | |
| "loss": 0.9676, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 1.84, | |
| "learning_rate": 0.0005778749999999999, | |
| "loss": 0.7901, | |
| "step": 59 | |
| }, | |
| { | |
| "epoch": 1.88, | |
| "learning_rate": 0.0005775, | |
| "loss": 0.9771, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 1.88, | |
| "eval_loss": 1.0994304418563843, | |
| "eval_mean_accuracy": 0.3909737030282887, | |
| "eval_mean_iou": 0.2835007332832486, | |
| "eval_overall_accuracy": 0.6179555591784025, | |
| "eval_per_category_accuracy": [ | |
| 0.7168020611741474, | |
| 0.7219130768570321, | |
| 0.5340207091634352, | |
| 0.0431815185182615, | |
| 0.45474233550172505, | |
| 0.5430138746239189, | |
| 0.469268628306114, | |
| 0.217241626853214, | |
| 0.09605778018331367, | |
| 0.5683827928074056, | |
| 0.0005080911993094857, | |
| 0.3265519411515883 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.5113476068813879, | |
| 0.49334140108090285, | |
| 0.4746839761440892, | |
| 0.040214174001835405, | |
| 0.31186037529280675, | |
| 0.31181019822943934, | |
| 0.35578648191496853, | |
| 0.20097078621392386, | |
| 0.08022661461990363, | |
| 0.38374995642386217, | |
| 0.0005073985432159898, | |
| 0.23750983005264706 | |
| ], | |
| "eval_runtime": 125.5081, | |
| "eval_samples_per_second": 0.908, | |
| "eval_steps_per_second": 0.08, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 1.91, | |
| "learning_rate": 0.000577125, | |
| "loss": 0.9391, | |
| "step": 61 | |
| }, | |
| { | |
| "epoch": 1.94, | |
| "learning_rate": 0.00057675, | |
| "loss": 1.0473, | |
| "step": 62 | |
| }, | |
| { | |
| "epoch": 1.97, | |
| "learning_rate": 0.000576375, | |
| "loss": 0.918, | |
| "step": 63 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 0.0005759999999999999, | |
| "loss": 1.0355, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 2.03, | |
| "learning_rate": 0.000575625, | |
| "loss": 1.015, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 2.06, | |
| "learning_rate": 0.0005752499999999999, | |
| "loss": 0.9346, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 2.09, | |
| "learning_rate": 0.000574875, | |
| "loss": 0.8417, | |
| "step": 67 | |
| }, | |
| { | |
| "epoch": 2.12, | |
| "learning_rate": 0.0005744999999999999, | |
| "loss": 0.8185, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 2.16, | |
| "learning_rate": 0.000574125, | |
| "loss": 0.9263, | |
| "step": 69 | |
| }, | |
| { | |
| "epoch": 2.19, | |
| "learning_rate": 0.0005737499999999999, | |
| "loss": 0.8448, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 2.22, | |
| "learning_rate": 0.0005733749999999999, | |
| "loss": 1.1335, | |
| "step": 71 | |
| }, | |
| { | |
| "epoch": 2.25, | |
| "learning_rate": 0.0005729999999999999, | |
| "loss": 0.9229, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 2.28, | |
| "learning_rate": 0.0005726249999999999, | |
| "loss": 0.8549, | |
| "step": 73 | |
| }, | |
| { | |
| "epoch": 2.31, | |
| "learning_rate": 0.00057225, | |
| "loss": 0.8818, | |
| "step": 74 | |
| }, | |
| { | |
| "epoch": 2.34, | |
| "learning_rate": 0.0005718749999999999, | |
| "loss": 0.831, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 2.38, | |
| "learning_rate": 0.0005715, | |
| "loss": 0.8845, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 2.41, | |
| "learning_rate": 0.000571125, | |
| "loss": 0.9197, | |
| "step": 77 | |
| }, | |
| { | |
| "epoch": 2.44, | |
| "learning_rate": 0.00057075, | |
| "loss": 0.8579, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 2.47, | |
| "learning_rate": 0.000570375, | |
| "loss": 0.8167, | |
| "step": 79 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "learning_rate": 0.00057, | |
| "loss": 0.8566, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "eval_loss": 1.0861966609954834, | |
| "eval_mean_accuracy": 0.3778088961525232, | |
| "eval_mean_iou": 0.26404526643863496, | |
| "eval_overall_accuracy": 0.6308857432582922, | |
| "eval_per_category_accuracy": [ | |
| 0.6129614268456303, | |
| 0.7713753471720866, | |
| 0.7994049832227069, | |
| 0.019437755463182074, | |
| 0.5688067632752372, | |
| 0.4619781591716599, | |
| 0.3827566445038881, | |
| 0.08782710157707345, | |
| 0.15580996069314926, | |
| 0.5327405741537456, | |
| 0.0009059939457566733, | |
| 0.1397020438061634 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.5101947204251175, | |
| 0.5344538212406682, | |
| 0.49436541874132667, | |
| 0.018884843581445522, | |
| 0.270377214768106, | |
| 0.28449876963719384, | |
| 0.32160160861987425, | |
| 0.086283029811171, | |
| 0.11932598089180631, | |
| 0.39498832385101396, | |
| 0.0009054175167701066, | |
| 0.13266404817912572 | |
| ], | |
| "eval_runtime": 123.9, | |
| "eval_samples_per_second": 0.92, | |
| "eval_steps_per_second": 0.081, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 2.53, | |
| "learning_rate": 0.0005696249999999999, | |
| "loss": 0.827, | |
| "step": 81 | |
| }, | |
| { | |
| "epoch": 2.56, | |
| "learning_rate": 0.00056925, | |
| "loss": 0.9862, | |
| "step": 82 | |
| }, | |
| { | |
| "epoch": 2.59, | |
| "learning_rate": 0.0005688749999999999, | |
| "loss": 0.8236, | |
| "step": 83 | |
| }, | |
| { | |
| "epoch": 2.62, | |
| "learning_rate": 0.0005685, | |
| "loss": 0.8522, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 2.66, | |
| "learning_rate": 0.0005681249999999999, | |
| "loss": 0.9125, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 2.69, | |
| "learning_rate": 0.00056775, | |
| "loss": 0.8568, | |
| "step": 86 | |
| }, | |
| { | |
| "epoch": 2.72, | |
| "learning_rate": 0.000567375, | |
| "loss": 0.8791, | |
| "step": 87 | |
| }, | |
| { | |
| "epoch": 2.75, | |
| "learning_rate": 0.0005669999999999999, | |
| "loss": 0.8188, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 2.78, | |
| "learning_rate": 0.000566625, | |
| "loss": 0.992, | |
| "step": 89 | |
| }, | |
| { | |
| "epoch": 2.81, | |
| "learning_rate": 0.0005662499999999999, | |
| "loss": 0.8239, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 2.84, | |
| "learning_rate": 0.000565875, | |
| "loss": 0.8892, | |
| "step": 91 | |
| }, | |
| { | |
| "epoch": 2.88, | |
| "learning_rate": 0.0005654999999999999, | |
| "loss": 0.8093, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 2.91, | |
| "learning_rate": 0.000565125, | |
| "loss": 1.0857, | |
| "step": 93 | |
| }, | |
| { | |
| "epoch": 2.94, | |
| "learning_rate": 0.0005647499999999999, | |
| "loss": 0.8162, | |
| "step": 94 | |
| }, | |
| { | |
| "epoch": 2.97, | |
| "learning_rate": 0.000564375, | |
| "loss": 0.9017, | |
| "step": 95 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "learning_rate": 0.0005639999999999999, | |
| "loss": 0.8848, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 3.03, | |
| "learning_rate": 0.0005636249999999999, | |
| "loss": 0.9075, | |
| "step": 97 | |
| }, | |
| { | |
| "epoch": 3.06, | |
| "learning_rate": 0.00056325, | |
| "loss": 0.8108, | |
| "step": 98 | |
| }, | |
| { | |
| "epoch": 3.09, | |
| "learning_rate": 0.0005628749999999999, | |
| "loss": 0.8238, | |
| "step": 99 | |
| }, | |
| { | |
| "epoch": 3.12, | |
| "learning_rate": 0.0005625, | |
| "loss": 0.7854, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 3.12, | |
| "eval_loss": 1.0004723072052002, | |
| "eval_mean_accuracy": 0.4409761597550485, | |
| "eval_mean_iou": 0.3278147775750712, | |
| "eval_overall_accuracy": 0.6476280145477831, | |
| "eval_per_category_accuracy": [ | |
| 0.7394164167070112, | |
| 0.7120692919670155, | |
| 0.65725755249271, | |
| 0.17395090943157923, | |
| 0.46355298851110294, | |
| 0.31981316619425926, | |
| 0.6107480292025965, | |
| 0.35138126519456003, | |
| 0.1554151176100015, | |
| 0.5705962518273815, | |
| 0.05702864593695384, | |
| 0.4804842819854117 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.5451244129938286, | |
| 0.5178187584431643, | |
| 0.5318888189962618, | |
| 0.14778251064896017, | |
| 0.3169269253463421, | |
| 0.2626134690690619, | |
| 0.39125714035001896, | |
| 0.3081966042250305, | |
| 0.12383697911511432, | |
| 0.3977603328560864, | |
| 0.04942253722870921, | |
| 0.34114884162827647 | |
| ], | |
| "eval_runtime": 124.3127, | |
| "eval_samples_per_second": 0.917, | |
| "eval_steps_per_second": 0.08, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 3.16, | |
| "learning_rate": 0.0005621249999999999, | |
| "loss": 0.8351, | |
| "step": 101 | |
| }, | |
| { | |
| "epoch": 3.19, | |
| "learning_rate": 0.00056175, | |
| "loss": 0.8611, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 3.22, | |
| "learning_rate": 0.000561375, | |
| "loss": 0.9022, | |
| "step": 103 | |
| }, | |
| { | |
| "epoch": 3.25, | |
| "learning_rate": 0.000561, | |
| "loss": 0.8189, | |
| "step": 104 | |
| }, | |
| { | |
| "epoch": 3.28, | |
| "learning_rate": 0.0005606249999999999, | |
| "loss": 0.8431, | |
| "step": 105 | |
| }, | |
| { | |
| "epoch": 3.31, | |
| "learning_rate": 0.00056025, | |
| "loss": 0.9712, | |
| "step": 106 | |
| }, | |
| { | |
| "epoch": 3.34, | |
| "learning_rate": 0.0005598749999999999, | |
| "loss": 0.7789, | |
| "step": 107 | |
| }, | |
| { | |
| "epoch": 3.38, | |
| "learning_rate": 0.0005595, | |
| "loss": 0.7784, | |
| "step": 108 | |
| }, | |
| { | |
| "epoch": 3.41, | |
| "learning_rate": 0.0005591249999999999, | |
| "loss": 0.7459, | |
| "step": 109 | |
| }, | |
| { | |
| "epoch": 3.44, | |
| "learning_rate": 0.00055875, | |
| "loss": 0.7602, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 3.47, | |
| "learning_rate": 0.000558375, | |
| "loss": 0.7709, | |
| "step": 111 | |
| }, | |
| { | |
| "epoch": 3.5, | |
| "learning_rate": 0.000558, | |
| "loss": 0.792, | |
| "step": 112 | |
| }, | |
| { | |
| "epoch": 3.53, | |
| "learning_rate": 0.000557625, | |
| "loss": 0.7701, | |
| "step": 113 | |
| }, | |
| { | |
| "epoch": 3.56, | |
| "learning_rate": 0.0005572499999999999, | |
| "loss": 0.8632, | |
| "step": 114 | |
| }, | |
| { | |
| "epoch": 3.59, | |
| "learning_rate": 0.000556875, | |
| "loss": 0.776, | |
| "step": 115 | |
| }, | |
| { | |
| "epoch": 3.62, | |
| "learning_rate": 0.0005564999999999999, | |
| "loss": 0.8366, | |
| "step": 116 | |
| }, | |
| { | |
| "epoch": 3.66, | |
| "learning_rate": 0.000556125, | |
| "loss": 0.731, | |
| "step": 117 | |
| }, | |
| { | |
| "epoch": 3.69, | |
| "learning_rate": 0.0005557499999999999, | |
| "loss": 0.8111, | |
| "step": 118 | |
| }, | |
| { | |
| "epoch": 3.72, | |
| "learning_rate": 0.000555375, | |
| "loss": 0.7547, | |
| "step": 119 | |
| }, | |
| { | |
| "epoch": 3.75, | |
| "learning_rate": 0.0005549999999999999, | |
| "loss": 0.7275, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 3.75, | |
| "eval_loss": 1.0055418014526367, | |
| "eval_mean_accuracy": 0.46582571564323233, | |
| "eval_mean_iou": 0.34071242663610873, | |
| "eval_overall_accuracy": 0.6500220717045299, | |
| "eval_per_category_accuracy": [ | |
| 0.6790541517825218, | |
| 0.7248947508922547, | |
| 0.702760127940592, | |
| 0.22049812284439385, | |
| 0.49308863123902213, | |
| 0.336202860575091, | |
| 0.6458925386011786, | |
| 0.40734546148068546, | |
| 0.2508473598750699, | |
| 0.5798344703996796, | |
| 0.12197249573784942, | |
| 0.4275176163504493 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.5331521735997542, | |
| 0.5305308321791462, | |
| 0.5588320252288795, | |
| 0.16697584226263984, | |
| 0.3296551780182928, | |
| 0.28048869107094193, | |
| 0.35449032046775947, | |
| 0.34190939733724723, | |
| 0.16527723782325413, | |
| 0.39484470653333187, | |
| 0.0880505368099854, | |
| 0.3443421783020718 | |
| ], | |
| "eval_runtime": 124.4108, | |
| "eval_samples_per_second": 0.916, | |
| "eval_steps_per_second": 0.08, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 3.78, | |
| "learning_rate": 0.0005546249999999999, | |
| "loss": 0.7266, | |
| "step": 121 | |
| }, | |
| { | |
| "epoch": 3.81, | |
| "learning_rate": 0.00055425, | |
| "loss": 0.8377, | |
| "step": 122 | |
| }, | |
| { | |
| "epoch": 3.84, | |
| "learning_rate": 0.0005538749999999999, | |
| "loss": 0.7775, | |
| "step": 123 | |
| }, | |
| { | |
| "epoch": 3.88, | |
| "learning_rate": 0.0005535, | |
| "loss": 0.8343, | |
| "step": 124 | |
| }, | |
| { | |
| "epoch": 3.91, | |
| "learning_rate": 0.0005531249999999999, | |
| "loss": 0.8143, | |
| "step": 125 | |
| }, | |
| { | |
| "epoch": 3.94, | |
| "learning_rate": 0.00055275, | |
| "loss": 0.8377, | |
| "step": 126 | |
| }, | |
| { | |
| "epoch": 3.97, | |
| "learning_rate": 0.0005523749999999999, | |
| "loss": 0.8807, | |
| "step": 127 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "learning_rate": 0.000552, | |
| "loss": 0.8941, | |
| "step": 128 | |
| }, | |
| { | |
| "epoch": 4.03, | |
| "learning_rate": 0.000551625, | |
| "loss": 0.9077, | |
| "step": 129 | |
| }, | |
| { | |
| "epoch": 4.06, | |
| "learning_rate": 0.0005512499999999999, | |
| "loss": 0.8361, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 4.09, | |
| "learning_rate": 0.0005508749999999999, | |
| "loss": 0.6058, | |
| "step": 131 | |
| }, | |
| { | |
| "epoch": 4.12, | |
| "learning_rate": 0.0005505, | |
| "loss": 0.8466, | |
| "step": 132 | |
| }, | |
| { | |
| "epoch": 4.16, | |
| "learning_rate": 0.0005501249999999999, | |
| "loss": 0.6832, | |
| "step": 133 | |
| }, | |
| { | |
| "epoch": 4.19, | |
| "learning_rate": 0.00054975, | |
| "loss": 0.9442, | |
| "step": 134 | |
| }, | |
| { | |
| "epoch": 4.22, | |
| "learning_rate": 0.000549375, | |
| "loss": 0.7119, | |
| "step": 135 | |
| }, | |
| { | |
| "epoch": 4.25, | |
| "learning_rate": 0.000549, | |
| "loss": 0.8412, | |
| "step": 136 | |
| }, | |
| { | |
| "epoch": 4.28, | |
| "learning_rate": 0.000548625, | |
| "loss": 0.8589, | |
| "step": 137 | |
| }, | |
| { | |
| "epoch": 4.31, | |
| "learning_rate": 0.0005482499999999999, | |
| "loss": 0.7529, | |
| "step": 138 | |
| }, | |
| { | |
| "epoch": 4.34, | |
| "learning_rate": 0.000547875, | |
| "loss": 0.7525, | |
| "step": 139 | |
| }, | |
| { | |
| "epoch": 4.38, | |
| "learning_rate": 0.0005474999999999999, | |
| "loss": 0.762, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 4.38, | |
| "eval_loss": 1.009921669960022, | |
| "eval_mean_accuracy": 0.4630782466624949, | |
| "eval_mean_iou": 0.3357803602667826, | |
| "eval_overall_accuracy": 0.6476533454761171, | |
| "eval_per_category_accuracy": [ | |
| 0.6388404926271997, | |
| 0.7725403351834625, | |
| 0.6020424381762673, | |
| 0.21688954275126474, | |
| 0.5520221552773765, | |
| 0.4518525508185774, | |
| 0.6697900807527053, | |
| 0.46810120099302377, | |
| 0.1897420654286044, | |
| 0.45603045018648025, | |
| 0.024152696709344286, | |
| 0.5149349510456322 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.5210483275809908, | |
| 0.5385459417489167, | |
| 0.519285461653176, | |
| 0.19235183880209375, | |
| 0.3408901260438495, | |
| 0.3345069902216156, | |
| 0.36090171027181106, | |
| 0.33539228285452394, | |
| 0.1422865859237117, | |
| 0.3681340241516971, | |
| 0.023384620855608634, | |
| 0.35263641309339605 | |
| ], | |
| "eval_runtime": 123.6747, | |
| "eval_samples_per_second": 0.922, | |
| "eval_steps_per_second": 0.081, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 4.41, | |
| "learning_rate": 0.000547125, | |
| "loss": 0.7219, | |
| "step": 141 | |
| }, | |
| { | |
| "epoch": 4.44, | |
| "learning_rate": 0.0005467499999999999, | |
| "loss": 0.7571, | |
| "step": 142 | |
| }, | |
| { | |
| "epoch": 4.47, | |
| "learning_rate": 0.000546375, | |
| "loss": 0.7736, | |
| "step": 143 | |
| }, | |
| { | |
| "epoch": 4.5, | |
| "learning_rate": 0.0005459999999999999, | |
| "loss": 0.7782, | |
| "step": 144 | |
| }, | |
| { | |
| "epoch": 4.53, | |
| "learning_rate": 0.000545625, | |
| "loss": 0.7814, | |
| "step": 145 | |
| }, | |
| { | |
| "epoch": 4.56, | |
| "learning_rate": 0.0005452499999999999, | |
| "loss": 0.6899, | |
| "step": 146 | |
| }, | |
| { | |
| "epoch": 4.59, | |
| "learning_rate": 0.0005448749999999999, | |
| "loss": 0.842, | |
| "step": 147 | |
| }, | |
| { | |
| "epoch": 4.62, | |
| "learning_rate": 0.0005445, | |
| "loss": 0.7052, | |
| "step": 148 | |
| }, | |
| { | |
| "epoch": 4.66, | |
| "learning_rate": 0.0005441249999999999, | |
| "loss": 0.7245, | |
| "step": 149 | |
| }, | |
| { | |
| "epoch": 4.69, | |
| "learning_rate": 0.00054375, | |
| "loss": 0.8852, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 4.72, | |
| "learning_rate": 0.0005433749999999999, | |
| "loss": 0.6868, | |
| "step": 151 | |
| }, | |
| { | |
| "epoch": 4.75, | |
| "learning_rate": 0.000543, | |
| "loss": 0.8091, | |
| "step": 152 | |
| }, | |
| { | |
| "epoch": 4.78, | |
| "learning_rate": 0.000542625, | |
| "loss": 0.7912, | |
| "step": 153 | |
| }, | |
| { | |
| "epoch": 4.81, | |
| "learning_rate": 0.00054225, | |
| "loss": 0.8428, | |
| "step": 154 | |
| }, | |
| { | |
| "epoch": 4.84, | |
| "learning_rate": 0.0005418749999999999, | |
| "loss": 0.7627, | |
| "step": 155 | |
| }, | |
| { | |
| "epoch": 4.88, | |
| "learning_rate": 0.0005414999999999999, | |
| "loss": 0.6705, | |
| "step": 156 | |
| }, | |
| { | |
| "epoch": 4.91, | |
| "learning_rate": 0.0005411249999999999, | |
| "loss": 0.7269, | |
| "step": 157 | |
| }, | |
| { | |
| "epoch": 4.94, | |
| "learning_rate": 0.00054075, | |
| "loss": 0.7688, | |
| "step": 158 | |
| }, | |
| { | |
| "epoch": 4.97, | |
| "learning_rate": 0.000540375, | |
| "loss": 0.757, | |
| "step": 159 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 0.00054, | |
| "loss": 0.7543, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_loss": 0.9964900612831116, | |
| "eval_mean_accuracy": 0.47220927209560704, | |
| "eval_mean_iou": 0.35076273333971525, | |
| "eval_overall_accuracy": 0.6553197827255517, | |
| "eval_per_category_accuracy": [ | |
| 0.5974941039770494, | |
| 0.7656300402304882, | |
| 0.7736861734503012, | |
| 0.26844019125474494, | |
| 0.47782547654307983, | |
| 0.5049230780397693, | |
| 0.5503440924885342, | |
| 0.38577494532904893, | |
| 0.29696414469889887, | |
| 0.6231179209340338, | |
| 0.08607248563724125, | |
| 0.33623861256409465 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.5029245432853789, | |
| 0.5438264868522664, | |
| 0.5504928848830769, | |
| 0.20921503460100002, | |
| 0.3484194245550177, | |
| 0.34286066341367244, | |
| 0.4044913460614946, | |
| 0.3442055933600121, | |
| 0.19153018129377833, | |
| 0.4114387452368694, | |
| 0.07501013614442405, | |
| 0.28473776038959164 | |
| ], | |
| "eval_runtime": 123.8413, | |
| "eval_samples_per_second": 0.921, | |
| "eval_steps_per_second": 0.081, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 5.03, | |
| "learning_rate": 0.000539625, | |
| "loss": 0.639, | |
| "step": 161 | |
| }, | |
| { | |
| "epoch": 5.06, | |
| "learning_rate": 0.00053925, | |
| "loss": 0.7108, | |
| "step": 162 | |
| }, | |
| { | |
| "epoch": 5.09, | |
| "learning_rate": 0.000538875, | |
| "loss": 0.6735, | |
| "step": 163 | |
| }, | |
| { | |
| "epoch": 5.12, | |
| "learning_rate": 0.0005384999999999999, | |
| "loss": 0.7478, | |
| "step": 164 | |
| }, | |
| { | |
| "epoch": 5.16, | |
| "learning_rate": 0.000538125, | |
| "loss": 0.6023, | |
| "step": 165 | |
| }, | |
| { | |
| "epoch": 5.19, | |
| "learning_rate": 0.0005377499999999999, | |
| "loss": 0.7976, | |
| "step": 166 | |
| }, | |
| { | |
| "epoch": 5.22, | |
| "learning_rate": 0.000537375, | |
| "loss": 0.7348, | |
| "step": 167 | |
| }, | |
| { | |
| "epoch": 5.25, | |
| "learning_rate": 0.0005369999999999999, | |
| "loss": 0.7037, | |
| "step": 168 | |
| }, | |
| { | |
| "epoch": 5.28, | |
| "learning_rate": 0.000536625, | |
| "loss": 0.694, | |
| "step": 169 | |
| }, | |
| { | |
| "epoch": 5.31, | |
| "learning_rate": 0.0005362499999999999, | |
| "loss": 0.7427, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 5.34, | |
| "learning_rate": 0.0005358749999999999, | |
| "loss": 0.7319, | |
| "step": 171 | |
| }, | |
| { | |
| "epoch": 5.38, | |
| "learning_rate": 0.0005355, | |
| "loss": 0.7365, | |
| "step": 172 | |
| }, | |
| { | |
| "epoch": 5.41, | |
| "learning_rate": 0.0005351249999999999, | |
| "loss": 0.823, | |
| "step": 173 | |
| }, | |
| { | |
| "epoch": 5.44, | |
| "learning_rate": 0.00053475, | |
| "loss": 0.6932, | |
| "step": 174 | |
| }, | |
| { | |
| "epoch": 5.47, | |
| "learning_rate": 0.0005343749999999999, | |
| "loss": 0.6911, | |
| "step": 175 | |
| }, | |
| { | |
| "epoch": 5.5, | |
| "learning_rate": 0.000534, | |
| "loss": 0.7337, | |
| "step": 176 | |
| }, | |
| { | |
| "epoch": 5.53, | |
| "learning_rate": 0.0005336249999999999, | |
| "loss": 0.8752, | |
| "step": 177 | |
| }, | |
| { | |
| "epoch": 5.56, | |
| "learning_rate": 0.00053325, | |
| "loss": 0.669, | |
| "step": 178 | |
| }, | |
| { | |
| "epoch": 5.59, | |
| "learning_rate": 0.000532875, | |
| "loss": 0.7305, | |
| "step": 179 | |
| }, | |
| { | |
| "epoch": 5.62, | |
| "learning_rate": 0.0005324999999999999, | |
| "loss": 0.7142, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 5.62, | |
| "eval_loss": 0.9814519286155701, | |
| "eval_mean_accuracy": 0.497081755026592, | |
| "eval_mean_iou": 0.35939949129333554, | |
| "eval_overall_accuracy": 0.6597169909560889, | |
| "eval_per_category_accuracy": [ | |
| 0.6908915714734837, | |
| 0.7305051261897875, | |
| 0.7036370157962516, | |
| 0.2776663590120818, | |
| 0.5628060380018922, | |
| 0.4295562515651142, | |
| 0.5859168478577468, | |
| 0.2814967358147499, | |
| 0.3033792356902656, | |
| 0.6404991026728926, | |
| 0.30056349150477635, | |
| 0.4580632847400621 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.5553982956913027, | |
| 0.5378390398854487, | |
| 0.5530532106585494, | |
| 0.21904999137749334, | |
| 0.3437066198831567, | |
| 0.32814516520304693, | |
| 0.4234087095030862, | |
| 0.2666791179990438, | |
| 0.18338491161074402, | |
| 0.41252681863698343, | |
| 0.14896654252535288, | |
| 0.34063547254581833 | |
| ], | |
| "eval_runtime": 124.8537, | |
| "eval_samples_per_second": 0.913, | |
| "eval_steps_per_second": 0.08, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 5.66, | |
| "learning_rate": 0.0005321249999999999, | |
| "loss": 0.7298, | |
| "step": 181 | |
| }, | |
| { | |
| "epoch": 5.69, | |
| "learning_rate": 0.00053175, | |
| "loss": 0.6999, | |
| "step": 182 | |
| }, | |
| { | |
| "epoch": 5.72, | |
| "learning_rate": 0.000531375, | |
| "loss": 0.8023, | |
| "step": 183 | |
| }, | |
| { | |
| "epoch": 5.75, | |
| "learning_rate": 0.000531, | |
| "loss": 0.6922, | |
| "step": 184 | |
| }, | |
| { | |
| "epoch": 5.78, | |
| "learning_rate": 0.000530625, | |
| "loss": 0.7184, | |
| "step": 185 | |
| }, | |
| { | |
| "epoch": 5.81, | |
| "learning_rate": 0.00053025, | |
| "loss": 0.7189, | |
| "step": 186 | |
| }, | |
| { | |
| "epoch": 5.84, | |
| "learning_rate": 0.000529875, | |
| "loss": 0.614, | |
| "step": 187 | |
| }, | |
| { | |
| "epoch": 5.88, | |
| "learning_rate": 0.0005294999999999999, | |
| "loss": 0.6966, | |
| "step": 188 | |
| }, | |
| { | |
| "epoch": 5.91, | |
| "learning_rate": 0.000529125, | |
| "loss": 0.7259, | |
| "step": 189 | |
| }, | |
| { | |
| "epoch": 5.94, | |
| "learning_rate": 0.0005287499999999999, | |
| "loss": 0.7856, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 5.97, | |
| "learning_rate": 0.000528375, | |
| "loss": 0.7678, | |
| "step": 191 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "learning_rate": 0.0005279999999999999, | |
| "loss": 0.623, | |
| "step": 192 | |
| }, | |
| { | |
| "epoch": 6.03, | |
| "learning_rate": 0.000527625, | |
| "loss": 0.6785, | |
| "step": 193 | |
| }, | |
| { | |
| "epoch": 6.06, | |
| "learning_rate": 0.0005272499999999999, | |
| "loss": 0.6884, | |
| "step": 194 | |
| }, | |
| { | |
| "epoch": 6.09, | |
| "learning_rate": 0.000526875, | |
| "loss": 0.6096, | |
| "step": 195 | |
| }, | |
| { | |
| "epoch": 6.12, | |
| "learning_rate": 0.0005265, | |
| "loss": 0.739, | |
| "step": 196 | |
| }, | |
| { | |
| "epoch": 6.16, | |
| "learning_rate": 0.0005261249999999999, | |
| "loss": 0.6649, | |
| "step": 197 | |
| }, | |
| { | |
| "epoch": 6.19, | |
| "learning_rate": 0.00052575, | |
| "loss": 0.6959, | |
| "step": 198 | |
| }, | |
| { | |
| "epoch": 6.22, | |
| "learning_rate": 0.0005253749999999999, | |
| "loss": 0.6718, | |
| "step": 199 | |
| }, | |
| { | |
| "epoch": 6.25, | |
| "learning_rate": 0.000525, | |
| "loss": 0.7132, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 6.25, | |
| "eval_loss": 0.9577063918113708, | |
| "eval_mean_accuracy": 0.49358942386599547, | |
| "eval_mean_iou": 0.36445855775079217, | |
| "eval_overall_accuracy": 0.6702703174791838, | |
| "eval_per_category_accuracy": [ | |
| 0.757485170186219, | |
| 0.7039742826269, | |
| 0.7879783326232815, | |
| 0.3002650918453029, | |
| 0.530024898350307, | |
| 0.5117678441164408, | |
| 0.5200409667652787, | |
| 0.282272468662643, | |
| 0.18195167830492534, | |
| 0.6273017965839506, | |
| 0.20833269566867557, | |
| 0.511677860658021 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.5717339461326115, | |
| 0.5411086678260705, | |
| 0.5550507730528956, | |
| 0.23120184241180683, | |
| 0.33923086199004965, | |
| 0.35084943122443496, | |
| 0.4183980452164044, | |
| 0.2680651542162202, | |
| 0.15420450059218319, | |
| 0.4336026908109024, | |
| 0.15032155761093297, | |
| 0.3597352219249941 | |
| ], | |
| "eval_runtime": 123.8598, | |
| "eval_samples_per_second": 0.92, | |
| "eval_steps_per_second": 0.081, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 6.28, | |
| "learning_rate": 0.0005246249999999999, | |
| "loss": 0.661, | |
| "step": 201 | |
| }, | |
| { | |
| "epoch": 6.31, | |
| "learning_rate": 0.00052425, | |
| "loss": 0.7055, | |
| "step": 202 | |
| }, | |
| { | |
| "epoch": 6.34, | |
| "learning_rate": 0.0005238749999999999, | |
| "loss": 0.6852, | |
| "step": 203 | |
| }, | |
| { | |
| "epoch": 6.38, | |
| "learning_rate": 0.0005235, | |
| "loss": 0.6802, | |
| "step": 204 | |
| }, | |
| { | |
| "epoch": 6.41, | |
| "learning_rate": 0.0005231249999999999, | |
| "loss": 0.6662, | |
| "step": 205 | |
| }, | |
| { | |
| "epoch": 6.44, | |
| "learning_rate": 0.0005227499999999999, | |
| "loss": 0.7165, | |
| "step": 206 | |
| }, | |
| { | |
| "epoch": 6.47, | |
| "learning_rate": 0.0005223749999999999, | |
| "loss": 0.6282, | |
| "step": 207 | |
| }, | |
| { | |
| "epoch": 6.5, | |
| "learning_rate": 0.000522, | |
| "loss": 0.693, | |
| "step": 208 | |
| }, | |
| { | |
| "epoch": 6.53, | |
| "learning_rate": 0.000521625, | |
| "loss": 0.6498, | |
| "step": 209 | |
| }, | |
| { | |
| "epoch": 6.56, | |
| "learning_rate": 0.00052125, | |
| "loss": 0.7024, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 6.59, | |
| "learning_rate": 0.000520875, | |
| "loss": 0.573, | |
| "step": 211 | |
| }, | |
| { | |
| "epoch": 6.62, | |
| "learning_rate": 0.0005205, | |
| "loss": 0.8226, | |
| "step": 212 | |
| }, | |
| { | |
| "epoch": 6.66, | |
| "learning_rate": 0.000520125, | |
| "loss": 0.5298, | |
| "step": 213 | |
| }, | |
| { | |
| "epoch": 6.69, | |
| "learning_rate": 0.0005197499999999999, | |
| "loss": 0.6492, | |
| "step": 214 | |
| }, | |
| { | |
| "epoch": 6.72, | |
| "learning_rate": 0.000519375, | |
| "loss": 0.769, | |
| "step": 215 | |
| }, | |
| { | |
| "epoch": 6.75, | |
| "learning_rate": 0.0005189999999999999, | |
| "loss": 0.664, | |
| "step": 216 | |
| }, | |
| { | |
| "epoch": 6.78, | |
| "learning_rate": 0.000518625, | |
| "loss": 0.7115, | |
| "step": 217 | |
| }, | |
| { | |
| "epoch": 6.81, | |
| "learning_rate": 0.0005182499999999999, | |
| "loss": 0.6526, | |
| "step": 218 | |
| }, | |
| { | |
| "epoch": 6.84, | |
| "learning_rate": 0.000517875, | |
| "loss": 0.679, | |
| "step": 219 | |
| }, | |
| { | |
| "epoch": 6.88, | |
| "learning_rate": 0.0005175, | |
| "loss": 0.5572, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 6.88, | |
| "eval_loss": 0.9686026573181152, | |
| "eval_mean_accuracy": 0.49162090929743196, | |
| "eval_mean_iou": 0.3674592922271513, | |
| "eval_overall_accuracy": 0.668428052935684, | |
| "eval_per_category_accuracy": [ | |
| 0.8315143436240795, | |
| 0.67630998091554, | |
| 0.7426204308307264, | |
| 0.32498386548323743, | |
| 0.49111945333028095, | |
| 0.5001669455140652, | |
| 0.5374337360209966, | |
| 0.43089816792044666, | |
| 0.34422109438080617, | |
| 0.6128100029154656, | |
| 0.11920860204522012, | |
| 0.28816428858831905 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.5778473653822723, | |
| 0.5269478191058978, | |
| 0.574435506709114, | |
| 0.23668203929496492, | |
| 0.3570071601716556, | |
| 0.358769802685785, | |
| 0.41459541328306615, | |
| 0.37143503659747396, | |
| 0.2224686465997259, | |
| 0.4152571514805167, | |
| 0.09885903570114096, | |
| 0.25520652971420166 | |
| ], | |
| "eval_runtime": 124.6105, | |
| "eval_samples_per_second": 0.915, | |
| "eval_steps_per_second": 0.08, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 6.91, | |
| "learning_rate": 0.0005171249999999999, | |
| "loss": 0.7046, | |
| "step": 221 | |
| }, | |
| { | |
| "epoch": 6.94, | |
| "learning_rate": 0.00051675, | |
| "loss": 0.6436, | |
| "step": 222 | |
| }, | |
| { | |
| "epoch": 6.97, | |
| "learning_rate": 0.0005163749999999999, | |
| "loss": 0.6286, | |
| "step": 223 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "learning_rate": 0.000516, | |
| "loss": 0.621, | |
| "step": 224 | |
| }, | |
| { | |
| "epoch": 7.03, | |
| "learning_rate": 0.0005156249999999999, | |
| "loss": 0.7192, | |
| "step": 225 | |
| }, | |
| { | |
| "epoch": 7.06, | |
| "learning_rate": 0.00051525, | |
| "loss": 0.5768, | |
| "step": 226 | |
| }, | |
| { | |
| "epoch": 7.09, | |
| "learning_rate": 0.0005148749999999999, | |
| "loss": 0.6557, | |
| "step": 227 | |
| }, | |
| { | |
| "epoch": 7.12, | |
| "learning_rate": 0.0005145, | |
| "loss": 0.6194, | |
| "step": 228 | |
| }, | |
| { | |
| "epoch": 7.16, | |
| "learning_rate": 0.0005141249999999999, | |
| "loss": 0.624, | |
| "step": 229 | |
| }, | |
| { | |
| "epoch": 7.19, | |
| "learning_rate": 0.0005137499999999999, | |
| "loss": 0.6787, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 7.22, | |
| "learning_rate": 0.0005133749999999999, | |
| "loss": 0.6515, | |
| "step": 231 | |
| }, | |
| { | |
| "epoch": 7.25, | |
| "learning_rate": 0.0005129999999999999, | |
| "loss": 0.618, | |
| "step": 232 | |
| }, | |
| { | |
| "epoch": 7.28, | |
| "learning_rate": 0.000512625, | |
| "loss": 0.5743, | |
| "step": 233 | |
| }, | |
| { | |
| "epoch": 7.31, | |
| "learning_rate": 0.00051225, | |
| "loss": 0.561, | |
| "step": 234 | |
| }, | |
| { | |
| "epoch": 7.34, | |
| "learning_rate": 0.000511875, | |
| "loss": 0.656, | |
| "step": 235 | |
| }, | |
| { | |
| "epoch": 7.38, | |
| "learning_rate": 0.0005115, | |
| "loss": 0.5951, | |
| "step": 236 | |
| }, | |
| { | |
| "epoch": 7.41, | |
| "learning_rate": 0.000511125, | |
| "loss": 0.6536, | |
| "step": 237 | |
| }, | |
| { | |
| "epoch": 7.44, | |
| "learning_rate": 0.0005107499999999999, | |
| "loss": 0.734, | |
| "step": 238 | |
| }, | |
| { | |
| "epoch": 7.47, | |
| "learning_rate": 0.000510375, | |
| "loss": 0.6387, | |
| "step": 239 | |
| }, | |
| { | |
| "epoch": 7.5, | |
| "learning_rate": 0.0005099999999999999, | |
| "loss": 0.5676, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 7.5, | |
| "eval_loss": 0.9805742502212524, | |
| "eval_mean_accuracy": 0.5024018526714576, | |
| "eval_mean_iou": 0.371506102641304, | |
| "eval_overall_accuracy": 0.6800810161389803, | |
| "eval_per_category_accuracy": [ | |
| 0.7315930355784842, | |
| 0.7541007820537842, | |
| 0.6881292554956727, | |
| 0.30834622938078154, | |
| 0.5766004128790718, | |
| 0.4276563390300466, | |
| 0.6505111399057544, | |
| 0.4819251032078268, | |
| 0.27926275254429783, | |
| 0.5722067988240086, | |
| 0.07342223909057798, | |
| 0.48506814406718457 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.5874312271992882, | |
| 0.5604905946583346, | |
| 0.5587517085148045, | |
| 0.2254583833345596, | |
| 0.36177477005679304, | |
| 0.33678157470165493, | |
| 0.4185254872962371, | |
| 0.3728270419920094, | |
| 0.20258071367884453, | |
| 0.42075932706243124, | |
| 0.0692206473059698, | |
| 0.34347175589472057 | |
| ], | |
| "eval_runtime": 123.7241, | |
| "eval_samples_per_second": 0.921, | |
| "eval_steps_per_second": 0.081, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 7.53, | |
| "learning_rate": 0.000509625, | |
| "loss": 0.6097, | |
| "step": 241 | |
| }, | |
| { | |
| "epoch": 7.56, | |
| "learning_rate": 0.0005092499999999999, | |
| "loss": 0.6319, | |
| "step": 242 | |
| }, | |
| { | |
| "epoch": 7.59, | |
| "learning_rate": 0.000508875, | |
| "loss": 0.6219, | |
| "step": 243 | |
| }, | |
| { | |
| "epoch": 7.62, | |
| "learning_rate": 0.0005085, | |
| "loss": 0.5975, | |
| "step": 244 | |
| }, | |
| { | |
| "epoch": 7.66, | |
| "learning_rate": 0.000508125, | |
| "loss": 0.651, | |
| "step": 245 | |
| }, | |
| { | |
| "epoch": 7.69, | |
| "learning_rate": 0.00050775, | |
| "loss": 0.512, | |
| "step": 246 | |
| }, | |
| { | |
| "epoch": 7.72, | |
| "learning_rate": 0.0005073749999999999, | |
| "loss": 0.5962, | |
| "step": 247 | |
| }, | |
| { | |
| "epoch": 7.75, | |
| "learning_rate": 0.000507, | |
| "loss": 0.7017, | |
| "step": 248 | |
| }, | |
| { | |
| "epoch": 7.78, | |
| "learning_rate": 0.0005066249999999999, | |
| "loss": 0.6477, | |
| "step": 249 | |
| }, | |
| { | |
| "epoch": 7.81, | |
| "learning_rate": 0.00050625, | |
| "loss": 0.6546, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 7.84, | |
| "learning_rate": 0.0005058749999999999, | |
| "loss": 0.6881, | |
| "step": 251 | |
| }, | |
| { | |
| "epoch": 7.88, | |
| "learning_rate": 0.0005055, | |
| "loss": 0.6078, | |
| "step": 252 | |
| }, | |
| { | |
| "epoch": 7.91, | |
| "learning_rate": 0.0005051249999999999, | |
| "loss": 0.6891, | |
| "step": 253 | |
| }, | |
| { | |
| "epoch": 7.94, | |
| "learning_rate": 0.00050475, | |
| "loss": 0.598, | |
| "step": 254 | |
| }, | |
| { | |
| "epoch": 7.97, | |
| "learning_rate": 0.0005043749999999999, | |
| "loss": 0.638, | |
| "step": 255 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "learning_rate": 0.0005039999999999999, | |
| "loss": 0.6779, | |
| "step": 256 | |
| }, | |
| { | |
| "epoch": 8.03, | |
| "learning_rate": 0.000503625, | |
| "loss": 0.628, | |
| "step": 257 | |
| }, | |
| { | |
| "epoch": 8.06, | |
| "learning_rate": 0.0005032499999999999, | |
| "loss": 0.5842, | |
| "step": 258 | |
| }, | |
| { | |
| "epoch": 8.09, | |
| "learning_rate": 0.000502875, | |
| "loss": 0.5126, | |
| "step": 259 | |
| }, | |
| { | |
| "epoch": 8.12, | |
| "learning_rate": 0.0005025, | |
| "loss": 0.6533, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 8.12, | |
| "eval_loss": 0.9647707939147949, | |
| "eval_mean_accuracy": 0.5290347832309982, | |
| "eval_mean_iou": 0.3826944916955128, | |
| "eval_overall_accuracy": 0.6695300654361123, | |
| "eval_per_category_accuracy": [ | |
| 0.6390227219897978, | |
| 0.7622451073333125, | |
| 0.6798905616562309, | |
| 0.39068084190949404, | |
| 0.5202418118057482, | |
| 0.5864632592845296, | |
| 0.7008623173460086, | |
| 0.5284176442793452, | |
| 0.26142604899603383, | |
| 0.5910629245092603, | |
| 0.23104988170045268, | |
| 0.45705427796176507 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.539363765599418, | |
| 0.5541112560719536, | |
| 0.564224130990146, | |
| 0.28007313069001544, | |
| 0.35043846601035505, | |
| 0.37497345958257, | |
| 0.4145645950481569, | |
| 0.40213470319634703, | |
| 0.1947903409748277, | |
| 0.4211198117656152, | |
| 0.15867080332782618, | |
| 0.33786943708892114 | |
| ], | |
| "eval_runtime": 125.2253, | |
| "eval_samples_per_second": 0.91, | |
| "eval_steps_per_second": 0.08, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 8.16, | |
| "learning_rate": 0.000502125, | |
| "loss": 0.5969, | |
| "step": 261 | |
| }, | |
| { | |
| "epoch": 8.19, | |
| "learning_rate": 0.00050175, | |
| "loss": 0.5633, | |
| "step": 262 | |
| }, | |
| { | |
| "epoch": 8.22, | |
| "learning_rate": 0.000501375, | |
| "loss": 0.6202, | |
| "step": 263 | |
| }, | |
| { | |
| "epoch": 8.25, | |
| "learning_rate": 0.0005009999999999999, | |
| "loss": 0.5568, | |
| "step": 264 | |
| }, | |
| { | |
| "epoch": 8.28, | |
| "learning_rate": 0.000500625, | |
| "loss": 0.6021, | |
| "step": 265 | |
| }, | |
| { | |
| "epoch": 8.31, | |
| "learning_rate": 0.0005002499999999999, | |
| "loss": 0.6637, | |
| "step": 266 | |
| }, | |
| { | |
| "epoch": 8.34, | |
| "learning_rate": 0.000499875, | |
| "loss": 0.6756, | |
| "step": 267 | |
| }, | |
| { | |
| "epoch": 8.38, | |
| "learning_rate": 0.0004994999999999999, | |
| "loss": 0.6323, | |
| "step": 268 | |
| }, | |
| { | |
| "epoch": 8.41, | |
| "learning_rate": 0.000499125, | |
| "loss": 0.6591, | |
| "step": 269 | |
| }, | |
| { | |
| "epoch": 8.44, | |
| "learning_rate": 0.00049875, | |
| "loss": 0.7191, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 8.47, | |
| "learning_rate": 0.0004983749999999999, | |
| "loss": 0.5911, | |
| "step": 271 | |
| }, | |
| { | |
| "epoch": 8.5, | |
| "learning_rate": 0.000498, | |
| "loss": 0.5841, | |
| "step": 272 | |
| }, | |
| { | |
| "epoch": 8.53, | |
| "learning_rate": 0.0004976249999999999, | |
| "loss": 0.5837, | |
| "step": 273 | |
| }, | |
| { | |
| "epoch": 8.56, | |
| "learning_rate": 0.00049725, | |
| "loss": 0.6009, | |
| "step": 274 | |
| }, | |
| { | |
| "epoch": 8.59, | |
| "learning_rate": 0.0004968749999999999, | |
| "loss": 0.5528, | |
| "step": 275 | |
| }, | |
| { | |
| "epoch": 8.62, | |
| "learning_rate": 0.0004965, | |
| "loss": 0.5907, | |
| "step": 276 | |
| }, | |
| { | |
| "epoch": 8.66, | |
| "learning_rate": 0.0004961249999999999, | |
| "loss": 0.5582, | |
| "step": 277 | |
| }, | |
| { | |
| "epoch": 8.69, | |
| "learning_rate": 0.00049575, | |
| "loss": 0.5714, | |
| "step": 278 | |
| }, | |
| { | |
| "epoch": 8.72, | |
| "learning_rate": 0.0004953749999999999, | |
| "loss": 0.6407, | |
| "step": 279 | |
| }, | |
| { | |
| "epoch": 8.75, | |
| "learning_rate": 0.0004949999999999999, | |
| "loss": 0.67, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 8.75, | |
| "eval_loss": 1.0987780094146729, | |
| "eval_mean_accuracy": 0.4580998870390869, | |
| "eval_mean_iou": 0.3479111276469824, | |
| "eval_overall_accuracy": 0.6546705814830044, | |
| "eval_per_category_accuracy": [ | |
| 0.48066672745873446, | |
| 0.8305757369135304, | |
| 0.7676997659254449, | |
| 0.21412412127604943, | |
| 0.47398841588551216, | |
| 0.4325884901955803, | |
| 0.5711691272441585, | |
| 0.2749094353329169, | |
| 0.21508300577624376, | |
| 0.6848772870627909, | |
| 0.20816741298938213, | |
| 0.3433491184086993 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.4455015326675329, | |
| 0.5573106019694799, | |
| 0.5610375857814821, | |
| 0.19477330471696624, | |
| 0.35352567686407715, | |
| 0.32306020230054533, | |
| 0.4240965616003975, | |
| 0.26065154759824616, | |
| 0.18418258317583033, | |
| 0.4215337886509578, | |
| 0.15863326887955384, | |
| 0.2906268775587196 | |
| ], | |
| "eval_runtime": 123.9472, | |
| "eval_samples_per_second": 0.92, | |
| "eval_steps_per_second": 0.081, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 8.78, | |
| "learning_rate": 0.000494625, | |
| "loss": 0.6267, | |
| "step": 281 | |
| }, | |
| { | |
| "epoch": 8.81, | |
| "learning_rate": 0.0004942499999999999, | |
| "loss": 0.7083, | |
| "step": 282 | |
| }, | |
| { | |
| "epoch": 8.84, | |
| "learning_rate": 0.000493875, | |
| "loss": 0.6574, | |
| "step": 283 | |
| }, | |
| { | |
| "epoch": 8.88, | |
| "learning_rate": 0.0004935, | |
| "loss": 0.5851, | |
| "step": 284 | |
| }, | |
| { | |
| "epoch": 8.91, | |
| "learning_rate": 0.000493125, | |
| "loss": 0.5928, | |
| "step": 285 | |
| }, | |
| { | |
| "epoch": 8.94, | |
| "learning_rate": 0.00049275, | |
| "loss": 0.5435, | |
| "step": 286 | |
| }, | |
| { | |
| "epoch": 8.97, | |
| "learning_rate": 0.000492375, | |
| "loss": 0.6518, | |
| "step": 287 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "learning_rate": 0.0004919999999999999, | |
| "loss": 0.654, | |
| "step": 288 | |
| }, | |
| { | |
| "epoch": 9.03, | |
| "learning_rate": 0.000491625, | |
| "loss": 0.5646, | |
| "step": 289 | |
| }, | |
| { | |
| "epoch": 9.06, | |
| "learning_rate": 0.0004912499999999999, | |
| "loss": 0.5048, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 9.09, | |
| "learning_rate": 0.000490875, | |
| "loss": 0.5574, | |
| "step": 291 | |
| }, | |
| { | |
| "epoch": 9.12, | |
| "learning_rate": 0.0004904999999999999, | |
| "loss": 0.5995, | |
| "step": 292 | |
| }, | |
| { | |
| "epoch": 9.16, | |
| "learning_rate": 0.000490125, | |
| "loss": 0.5645, | |
| "step": 293 | |
| }, | |
| { | |
| "epoch": 9.19, | |
| "learning_rate": 0.00048975, | |
| "loss": 0.5597, | |
| "step": 294 | |
| }, | |
| { | |
| "epoch": 9.22, | |
| "learning_rate": 0.000489375, | |
| "loss": 0.6295, | |
| "step": 295 | |
| }, | |
| { | |
| "epoch": 9.25, | |
| "learning_rate": 0.000489, | |
| "loss": 0.5053, | |
| "step": 296 | |
| }, | |
| { | |
| "epoch": 9.28, | |
| "learning_rate": 0.0004886249999999999, | |
| "loss": 0.4657, | |
| "step": 297 | |
| }, | |
| { | |
| "epoch": 9.31, | |
| "learning_rate": 0.0004882499999999999, | |
| "loss": 0.6421, | |
| "step": 298 | |
| }, | |
| { | |
| "epoch": 9.34, | |
| "learning_rate": 0.000487875, | |
| "loss": 0.5838, | |
| "step": 299 | |
| }, | |
| { | |
| "epoch": 9.38, | |
| "learning_rate": 0.0004875, | |
| "loss": 0.5644, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 9.38, | |
| "eval_loss": 0.983669638633728, | |
| "eval_mean_accuracy": 0.5204264301169051, | |
| "eval_mean_iou": 0.36998021455594227, | |
| "eval_overall_accuracy": 0.6649547710753324, | |
| "eval_per_category_accuracy": [ | |
| 0.5940242572097704, | |
| 0.8056204971919827, | |
| 0.652415122648732, | |
| 0.3024337096897315, | |
| 0.6671805707779671, | |
| 0.7223677954844868, | |
| 0.5593419811729217, | |
| 0.49315930059755003, | |
| 0.35564048871813525, | |
| 0.4758290170708594, | |
| 0.1260647724455409, | |
| 0.491039648395184 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.5120521418371993, | |
| 0.5615051709697225, | |
| 0.5605287190343511, | |
| 0.24633585240536524, | |
| 0.31312694322687384, | |
| 0.3423289627909097, | |
| 0.42465141853084787, | |
| 0.4075806091690605, | |
| 0.2081047227792813, | |
| 0.3872001100058186, | |
| 0.10902319327019286, | |
| 0.36732473065168403 | |
| ], | |
| "eval_runtime": 123.8999, | |
| "eval_samples_per_second": 0.92, | |
| "eval_steps_per_second": 0.081, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 9.41, | |
| "learning_rate": 0.000487125, | |
| "loss": 0.6492, | |
| "step": 301 | |
| }, | |
| { | |
| "epoch": 9.44, | |
| "learning_rate": 0.00048675, | |
| "loss": 0.6658, | |
| "step": 302 | |
| }, | |
| { | |
| "epoch": 9.47, | |
| "learning_rate": 0.000486375, | |
| "loss": 0.5424, | |
| "step": 303 | |
| }, | |
| { | |
| "epoch": 9.5, | |
| "learning_rate": 0.000486, | |
| "loss": 0.4951, | |
| "step": 304 | |
| }, | |
| { | |
| "epoch": 9.53, | |
| "learning_rate": 0.00048562499999999995, | |
| "loss": 0.5663, | |
| "step": 305 | |
| }, | |
| { | |
| "epoch": 9.56, | |
| "learning_rate": 0.00048524999999999995, | |
| "loss": 0.5105, | |
| "step": 306 | |
| }, | |
| { | |
| "epoch": 9.59, | |
| "learning_rate": 0.00048487499999999995, | |
| "loss": 0.5594, | |
| "step": 307 | |
| }, | |
| { | |
| "epoch": 9.62, | |
| "learning_rate": 0.00048449999999999996, | |
| "loss": 0.5925, | |
| "step": 308 | |
| }, | |
| { | |
| "epoch": 9.66, | |
| "learning_rate": 0.00048412499999999996, | |
| "loss": 0.5676, | |
| "step": 309 | |
| }, | |
| { | |
| "epoch": 9.69, | |
| "learning_rate": 0.00048374999999999997, | |
| "loss": 0.552, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 9.72, | |
| "learning_rate": 0.00048337499999999997, | |
| "loss": 0.6232, | |
| "step": 311 | |
| }, | |
| { | |
| "epoch": 9.75, | |
| "learning_rate": 0.000483, | |
| "loss": 0.5877, | |
| "step": 312 | |
| }, | |
| { | |
| "epoch": 9.78, | |
| "learning_rate": 0.0004826249999999999, | |
| "loss": 0.5313, | |
| "step": 313 | |
| }, | |
| { | |
| "epoch": 9.81, | |
| "learning_rate": 0.00048224999999999993, | |
| "loss": 0.5456, | |
| "step": 314 | |
| }, | |
| { | |
| "epoch": 9.84, | |
| "learning_rate": 0.00048187499999999994, | |
| "loss": 0.5813, | |
| "step": 315 | |
| }, | |
| { | |
| "epoch": 9.88, | |
| "learning_rate": 0.00048149999999999994, | |
| "loss": 0.6503, | |
| "step": 316 | |
| }, | |
| { | |
| "epoch": 9.91, | |
| "learning_rate": 0.00048112499999999994, | |
| "loss": 0.5662, | |
| "step": 317 | |
| }, | |
| { | |
| "epoch": 9.94, | |
| "learning_rate": 0.00048074999999999995, | |
| "loss": 0.6718, | |
| "step": 318 | |
| }, | |
| { | |
| "epoch": 9.97, | |
| "learning_rate": 0.00048037499999999995, | |
| "loss": 0.5636, | |
| "step": 319 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "learning_rate": 0.00047999999999999996, | |
| "loss": 0.5678, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_loss": 0.9780566692352295, | |
| "eval_mean_accuracy": 0.5350595191545178, | |
| "eval_mean_iou": 0.3906962436607775, | |
| "eval_overall_accuracy": 0.6771719413891173, | |
| "eval_per_category_accuracy": [ | |
| 0.6554152883827387, | |
| 0.7588004293882252, | |
| 0.7401698246138683, | |
| 0.3209831992838356, | |
| 0.5589183297643672, | |
| 0.5685601675261941, | |
| 0.5751910181705395, | |
| 0.45440587328339643, | |
| 0.4784721790901751, | |
| 0.6453562996222412, | |
| 0.21756097859589305, | |
| 0.4468806421327391 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.5545401246305556, | |
| 0.559287046180608, | |
| 0.5841953654092598, | |
| 0.24684268808453297, | |
| 0.3812876262500622, | |
| 0.3824948025455624, | |
| 0.4319588439462186, | |
| 0.384631151257913, | |
| 0.2309813395356408, | |
| 0.4207958788984324, | |
| 0.15715858689932388, | |
| 0.3541814702912209 | |
| ], | |
| "eval_runtime": 123.6926, | |
| "eval_samples_per_second": 0.922, | |
| "eval_steps_per_second": 0.081, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 10.03, | |
| "learning_rate": 0.0004796249999999999, | |
| "loss": 0.5511, | |
| "step": 321 | |
| }, | |
| { | |
| "epoch": 10.06, | |
| "learning_rate": 0.0004792499999999999, | |
| "loss": 0.611, | |
| "step": 322 | |
| }, | |
| { | |
| "epoch": 10.09, | |
| "learning_rate": 0.0004788749999999999, | |
| "loss": 0.5803, | |
| "step": 323 | |
| }, | |
| { | |
| "epoch": 10.12, | |
| "learning_rate": 0.0004785, | |
| "loss": 0.5232, | |
| "step": 324 | |
| }, | |
| { | |
| "epoch": 10.16, | |
| "learning_rate": 0.000478125, | |
| "loss": 0.5558, | |
| "step": 325 | |
| }, | |
| { | |
| "epoch": 10.19, | |
| "learning_rate": 0.00047775, | |
| "loss": 0.5829, | |
| "step": 326 | |
| }, | |
| { | |
| "epoch": 10.22, | |
| "learning_rate": 0.000477375, | |
| "loss": 0.5082, | |
| "step": 327 | |
| }, | |
| { | |
| "epoch": 10.25, | |
| "learning_rate": 0.000477, | |
| "loss": 0.5775, | |
| "step": 328 | |
| }, | |
| { | |
| "epoch": 10.28, | |
| "learning_rate": 0.000476625, | |
| "loss": 0.5354, | |
| "step": 329 | |
| }, | |
| { | |
| "epoch": 10.31, | |
| "learning_rate": 0.00047624999999999995, | |
| "loss": 0.4546, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 10.34, | |
| "learning_rate": 0.00047587499999999995, | |
| "loss": 0.5009, | |
| "step": 331 | |
| }, | |
| { | |
| "epoch": 10.38, | |
| "learning_rate": 0.00047549999999999996, | |
| "loss": 0.5521, | |
| "step": 332 | |
| }, | |
| { | |
| "epoch": 10.41, | |
| "learning_rate": 0.00047512499999999996, | |
| "loss": 0.5354, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 10.44, | |
| "learning_rate": 0.00047474999999999997, | |
| "loss": 0.4855, | |
| "step": 334 | |
| }, | |
| { | |
| "epoch": 10.47, | |
| "learning_rate": 0.00047437499999999997, | |
| "loss": 0.5356, | |
| "step": 335 | |
| }, | |
| { | |
| "epoch": 10.5, | |
| "learning_rate": 0.000474, | |
| "loss": 0.5868, | |
| "step": 336 | |
| }, | |
| { | |
| "epoch": 10.53, | |
| "learning_rate": 0.000473625, | |
| "loss": 0.5931, | |
| "step": 337 | |
| }, | |
| { | |
| "epoch": 10.56, | |
| "learning_rate": 0.00047324999999999993, | |
| "loss": 0.5786, | |
| "step": 338 | |
| }, | |
| { | |
| "epoch": 10.59, | |
| "learning_rate": 0.00047287499999999993, | |
| "loss": 0.5718, | |
| "step": 339 | |
| }, | |
| { | |
| "epoch": 10.62, | |
| "learning_rate": 0.00047249999999999994, | |
| "loss": 0.6153, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 10.62, | |
| "eval_loss": 0.9987176060676575, | |
| "eval_mean_accuracy": 0.5497999939840363, | |
| "eval_mean_iou": 0.3857005670859029, | |
| "eval_overall_accuracy": 0.660497130009166, | |
| "eval_per_category_accuracy": [ | |
| 0.5231205889958428, | |
| 0.7747069218397336, | |
| 0.7498118814452185, | |
| 0.3063129332898453, | |
| 0.546321263677379, | |
| 0.6574151027622224, | |
| 0.6809347098082498, | |
| 0.45994636300225755, | |
| 0.4333802117068756, | |
| 0.5861572233919434, | |
| 0.342909526097829, | |
| 0.5365832017910386 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.4772630084705572, | |
| 0.5541882497823591, | |
| 0.5825233033041953, | |
| 0.24382429625701532, | |
| 0.38442721103951644, | |
| 0.38358193468602964, | |
| 0.42849690958511605, | |
| 0.3960627429416036, | |
| 0.21535871992663122, | |
| 0.4152440328818222, | |
| 0.1834708686588136, | |
| 0.36396552749717453 | |
| ], | |
| "eval_runtime": 123.7757, | |
| "eval_samples_per_second": 0.921, | |
| "eval_steps_per_second": 0.081, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 10.66, | |
| "learning_rate": 0.00047212499999999994, | |
| "loss": 0.6764, | |
| "step": 341 | |
| }, | |
| { | |
| "epoch": 10.69, | |
| "learning_rate": 0.00047174999999999995, | |
| "loss": 0.541, | |
| "step": 342 | |
| }, | |
| { | |
| "epoch": 10.72, | |
| "learning_rate": 0.00047137499999999995, | |
| "loss": 0.5097, | |
| "step": 343 | |
| }, | |
| { | |
| "epoch": 10.75, | |
| "learning_rate": 0.00047099999999999996, | |
| "loss": 0.4856, | |
| "step": 344 | |
| }, | |
| { | |
| "epoch": 10.78, | |
| "learning_rate": 0.00047062499999999996, | |
| "loss": 0.5468, | |
| "step": 345 | |
| }, | |
| { | |
| "epoch": 10.81, | |
| "learning_rate": 0.0004702499999999999, | |
| "loss": 0.5513, | |
| "step": 346 | |
| }, | |
| { | |
| "epoch": 10.84, | |
| "learning_rate": 0.0004698749999999999, | |
| "loss": 0.6115, | |
| "step": 347 | |
| }, | |
| { | |
| "epoch": 10.88, | |
| "learning_rate": 0.0004694999999999999, | |
| "loss": 0.5045, | |
| "step": 348 | |
| }, | |
| { | |
| "epoch": 10.91, | |
| "learning_rate": 0.0004691249999999999, | |
| "loss": 0.5671, | |
| "step": 349 | |
| }, | |
| { | |
| "epoch": 10.94, | |
| "learning_rate": 0.00046875, | |
| "loss": 0.5062, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 10.97, | |
| "learning_rate": 0.000468375, | |
| "loss": 0.6014, | |
| "step": 351 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "learning_rate": 0.000468, | |
| "loss": 0.5981, | |
| "step": 352 | |
| }, | |
| { | |
| "epoch": 11.03, | |
| "learning_rate": 0.000467625, | |
| "loss": 0.5369, | |
| "step": 353 | |
| }, | |
| { | |
| "epoch": 11.06, | |
| "learning_rate": 0.00046725, | |
| "loss": 0.4975, | |
| "step": 354 | |
| }, | |
| { | |
| "epoch": 11.09, | |
| "learning_rate": 0.00046687499999999995, | |
| "loss": 0.5137, | |
| "step": 355 | |
| }, | |
| { | |
| "epoch": 11.12, | |
| "learning_rate": 0.00046649999999999996, | |
| "loss": 0.4978, | |
| "step": 356 | |
| }, | |
| { | |
| "epoch": 11.16, | |
| "learning_rate": 0.00046612499999999996, | |
| "loss": 0.4579, | |
| "step": 357 | |
| }, | |
| { | |
| "epoch": 11.19, | |
| "learning_rate": 0.00046574999999999996, | |
| "loss": 0.5321, | |
| "step": 358 | |
| }, | |
| { | |
| "epoch": 11.22, | |
| "learning_rate": 0.00046537499999999997, | |
| "loss": 0.5201, | |
| "step": 359 | |
| }, | |
| { | |
| "epoch": 11.25, | |
| "learning_rate": 0.00046499999999999997, | |
| "loss": 0.4252, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 11.25, | |
| "eval_loss": 0.9291033148765564, | |
| "eval_mean_accuracy": 0.528009973276733, | |
| "eval_mean_iou": 0.39591471843488896, | |
| "eval_overall_accuracy": 0.6944302341394257, | |
| "eval_per_category_accuracy": [ | |
| 0.7758503951264145, | |
| 0.7639770669563318, | |
| 0.6693553518837109, | |
| 0.38660037057341723, | |
| 0.5337667415575549, | |
| 0.5057342154831077, | |
| 0.5763875877943601, | |
| 0.6287229015837165, | |
| 0.3423444806260703, | |
| 0.5546978372878139, | |
| 0.15132853605458002, | |
| 0.447354194393719 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.6138349391900487, | |
| 0.5748497846975844, | |
| 0.5686854787211605, | |
| 0.28537363740676996, | |
| 0.3701880790533382, | |
| 0.3687162885337687, | |
| 0.4387556373721067, | |
| 0.4152303639246888, | |
| 0.22665730662981398, | |
| 0.4070483981278673, | |
| 0.12507399555773677, | |
| 0.35656271200378264 | |
| ], | |
| "eval_runtime": 123.9322, | |
| "eval_samples_per_second": 0.92, | |
| "eval_steps_per_second": 0.081, | |
| "step": 360 | |
| } | |
| ], | |
| "max_steps": 1600, | |
| "num_train_epochs": 50, | |
| "total_flos": 7.462066884968448e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |