| { | |
| "best_metric": 0.17315250635147095, | |
| "best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/dropoff-utcustom-train-SF-RGB-b5_7/checkpoint-120", | |
| "epoch": 60.0, | |
| "global_step": 120, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.5, | |
| "learning_rate": 4.166666666666667e-06, | |
| "loss": 1.017, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 8.333333333333334e-06, | |
| "loss": 1.025, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "learning_rate": 1.25e-05, | |
| "loss": 1.0124, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 1.6666666666666667e-05, | |
| "loss": 0.9968, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "learning_rate": 2.0833333333333336e-05, | |
| "loss": 0.9685, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "learning_rate": 2.5e-05, | |
| "loss": 0.9552, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 3.5, | |
| "learning_rate": 2.916666666666667e-05, | |
| "loss": 0.9261, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "learning_rate": 3.3333333333333335e-05, | |
| "loss": 0.8902, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 4.5, | |
| "learning_rate": 3.7500000000000003e-05, | |
| "loss": 0.8624, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 4.166666666666667e-05, | |
| "loss": 0.8255, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy_dropoff": 0.61789949310764, | |
| "eval_accuracy_undropoff": 0.9532616169325269, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.30068083396580203, | |
| "eval_iou_undropoff": 0.9377191953832399, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.7949008941650391, | |
| "eval_mean_accuracy": 0.7855805550200834, | |
| "eval_mean_iou": 0.41280000978301395, | |
| "eval_overall_accuracy": 0.9393175125122071, | |
| "eval_runtime": 2.0065, | |
| "eval_samples_per_second": 9.968, | |
| "eval_steps_per_second": 0.997, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 5.5, | |
| "learning_rate": 4.5833333333333334e-05, | |
| "loss": 0.7939, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "learning_rate": 5e-05, | |
| "loss": 0.7364, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 6.5, | |
| "learning_rate": 4.9780701754385966e-05, | |
| "loss": 0.6993, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "learning_rate": 4.956140350877193e-05, | |
| "loss": 0.6614, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 7.5, | |
| "learning_rate": 4.9342105263157894e-05, | |
| "loss": 0.5986, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "learning_rate": 4.912280701754386e-05, | |
| "loss": 0.5876, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 8.5, | |
| "learning_rate": 4.890350877192983e-05, | |
| "loss": 0.5312, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "learning_rate": 4.868421052631579e-05, | |
| "loss": 0.5088, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 9.5, | |
| "learning_rate": 4.8464912280701755e-05, | |
| "loss": 0.462, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "learning_rate": 4.824561403508772e-05, | |
| "loss": 0.4434, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy_dropoff": 0.41871602559691734, | |
| "eval_accuracy_undropoff": 0.9944325094007127, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.3713824207926633, | |
| "eval_iou_undropoff": 0.9699718650625573, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.42470020055770874, | |
| "eval_mean_accuracy": 0.706574267498815, | |
| "eval_mean_iou": 0.4471180952850735, | |
| "eval_overall_accuracy": 0.9704946517944336, | |
| "eval_runtime": 2.0254, | |
| "eval_samples_per_second": 9.875, | |
| "eval_steps_per_second": 0.987, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 10.5, | |
| "learning_rate": 4.802631578947368e-05, | |
| "loss": 0.3698, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "learning_rate": 4.780701754385965e-05, | |
| "loss": 0.4431, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 11.5, | |
| "learning_rate": 4.758771929824562e-05, | |
| "loss": 0.3667, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "learning_rate": 4.736842105263158e-05, | |
| "loss": 0.3123, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 12.5, | |
| "learning_rate": 4.714912280701755e-05, | |
| "loss": 0.3021, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "learning_rate": 4.6929824561403515e-05, | |
| "loss": 0.2765, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 13.5, | |
| "learning_rate": 4.671052631578948e-05, | |
| "loss": 0.2547, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "learning_rate": 4.649122807017544e-05, | |
| "loss": 0.2615, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 14.5, | |
| "learning_rate": 4.6271929824561406e-05, | |
| "loss": 0.2296, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "learning_rate": 4.605263157894737e-05, | |
| "loss": 0.2107, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_accuracy_dropoff": 0.40458267391453934, | |
| "eval_accuracy_undropoff": 0.9961075726111145, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.3712713740875759, | |
| "eval_iou_undropoff": 0.9710249883455491, | |
| "eval_iou_unlabeled": NaN, | |
| "eval_loss": 0.2725875973701477, | |
| "eval_mean_accuracy": 0.7003451232628269, | |
| "eval_mean_iou": 0.6711481812165625, | |
| "eval_overall_accuracy": 0.9715124130249023, | |
| "eval_runtime": 2.0394, | |
| "eval_samples_per_second": 9.807, | |
| "eval_steps_per_second": 0.981, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 15.5, | |
| "learning_rate": 4.5833333333333334e-05, | |
| "loss": 0.205, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "learning_rate": 4.56140350877193e-05, | |
| "loss": 0.1816, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 16.5, | |
| "learning_rate": 4.539473684210527e-05, | |
| "loss": 0.1842, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "learning_rate": 4.517543859649123e-05, | |
| "loss": 0.149, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 17.5, | |
| "learning_rate": 4.4956140350877196e-05, | |
| "loss": 0.1361, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "learning_rate": 4.473684210526316e-05, | |
| "loss": 0.1646, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 18.5, | |
| "learning_rate": 4.451754385964912e-05, | |
| "loss": 0.1288, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "learning_rate": 4.429824561403509e-05, | |
| "loss": 0.1178, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 19.5, | |
| "learning_rate": 4.407894736842105e-05, | |
| "loss": 0.1103, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "learning_rate": 4.3859649122807014e-05, | |
| "loss": 0.1678, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy_dropoff": 0.47821739030711713, | |
| "eval_accuracy_undropoff": 0.9904238604465575, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.39174564284479585, | |
| "eval_iou_undropoff": 0.9685003651750826, | |
| "eval_iou_unlabeled": NaN, | |
| "eval_loss": 0.23879647254943848, | |
| "eval_mean_accuracy": 0.7343206253768373, | |
| "eval_mean_iou": 0.6801230040099393, | |
| "eval_overall_accuracy": 0.9691267013549805, | |
| "eval_runtime": 2.833, | |
| "eval_samples_per_second": 7.06, | |
| "eval_steps_per_second": 0.706, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 20.5, | |
| "learning_rate": 4.3640350877192985e-05, | |
| "loss": 0.0934, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 21.0, | |
| "learning_rate": 4.342105263157895e-05, | |
| "loss": 0.1108, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 21.5, | |
| "learning_rate": 4.320175438596491e-05, | |
| "loss": 0.0932, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 22.0, | |
| "learning_rate": 4.298245614035088e-05, | |
| "loss": 0.097, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 22.5, | |
| "learning_rate": 4.2763157894736847e-05, | |
| "loss": 0.0813, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 23.0, | |
| "learning_rate": 4.254385964912281e-05, | |
| "loss": 0.1387, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 23.5, | |
| "learning_rate": 4.2324561403508774e-05, | |
| "loss": 0.0835, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "learning_rate": 4.210526315789474e-05, | |
| "loss": 0.0745, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 24.5, | |
| "learning_rate": 4.188596491228071e-05, | |
| "loss": 0.0736, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "learning_rate": 4.166666666666667e-05, | |
| "loss": 0.0972, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "eval_accuracy_dropoff": 0.42408770843367966, | |
| "eval_accuracy_undropoff": 0.9951975020323848, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.3818202843962053, | |
| "eval_iou_undropoff": 0.9709387427964766, | |
| "eval_iou_unlabeled": NaN, | |
| "eval_loss": 0.18494448065757751, | |
| "eval_mean_accuracy": 0.7096426052330322, | |
| "eval_mean_iou": 0.676379513596341, | |
| "eval_overall_accuracy": 0.9714511871337891, | |
| "eval_runtime": 2.046, | |
| "eval_samples_per_second": 9.775, | |
| "eval_steps_per_second": 0.978, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 25.5, | |
| "learning_rate": 4.1447368421052636e-05, | |
| "loss": 0.0686, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 26.0, | |
| "learning_rate": 4.12280701754386e-05, | |
| "loss": 0.0779, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 26.5, | |
| "learning_rate": 4.100877192982456e-05, | |
| "loss": 0.0723, | |
| "step": 53 | |
| }, | |
| { | |
| "epoch": 27.0, | |
| "learning_rate": 4.078947368421053e-05, | |
| "loss": 0.0685, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 27.5, | |
| "learning_rate": 4.057017543859649e-05, | |
| "loss": 0.0662, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 28.0, | |
| "learning_rate": 4.0350877192982455e-05, | |
| "loss": 0.0641, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 28.5, | |
| "learning_rate": 4.0131578947368425e-05, | |
| "loss": 0.0567, | |
| "step": 57 | |
| }, | |
| { | |
| "epoch": 29.0, | |
| "learning_rate": 3.991228070175439e-05, | |
| "loss": 0.0769, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 29.5, | |
| "learning_rate": 3.969298245614035e-05, | |
| "loss": 0.0618, | |
| "step": 59 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "learning_rate": 3.9473684210526316e-05, | |
| "loss": 0.0604, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "eval_accuracy_dropoff": 0.5239248606619418, | |
| "eval_accuracy_undropoff": 0.9897283221407057, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.42364186677942717, | |
| "eval_iou_undropoff": 0.9697005089236638, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.20193985104560852, | |
| "eval_mean_accuracy": 0.7568265914013237, | |
| "eval_mean_iou": 0.464447458567697, | |
| "eval_overall_accuracy": 0.9703605651855469, | |
| "eval_runtime": 2.0527, | |
| "eval_samples_per_second": 9.743, | |
| "eval_steps_per_second": 0.974, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 30.5, | |
| "learning_rate": 3.925438596491228e-05, | |
| "loss": 0.0556, | |
| "step": 61 | |
| }, | |
| { | |
| "epoch": 31.0, | |
| "learning_rate": 3.9035087719298244e-05, | |
| "loss": 0.0561, | |
| "step": 62 | |
| }, | |
| { | |
| "epoch": 31.5, | |
| "learning_rate": 3.8815789473684214e-05, | |
| "loss": 0.055, | |
| "step": 63 | |
| }, | |
| { | |
| "epoch": 32.0, | |
| "learning_rate": 3.859649122807018e-05, | |
| "loss": 0.0524, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 32.5, | |
| "learning_rate": 3.837719298245614e-05, | |
| "loss": 0.051, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 33.0, | |
| "learning_rate": 3.815789473684211e-05, | |
| "loss": 0.0542, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 33.5, | |
| "learning_rate": 3.7938596491228076e-05, | |
| "loss": 0.0516, | |
| "step": 67 | |
| }, | |
| { | |
| "epoch": 34.0, | |
| "learning_rate": 3.771929824561404e-05, | |
| "loss": 0.0466, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 34.5, | |
| "learning_rate": 3.7500000000000003e-05, | |
| "loss": 0.0502, | |
| "step": 69 | |
| }, | |
| { | |
| "epoch": 35.0, | |
| "learning_rate": 3.728070175438597e-05, | |
| "loss": 0.0497, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 35.0, | |
| "eval_accuracy_dropoff": 0.4775384756531113, | |
| "eval_accuracy_undropoff": 0.9913645784928411, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.39826387693343585, | |
| "eval_iou_undropoff": 0.9693923400870129, | |
| "eval_iou_unlabeled": NaN, | |
| "eval_loss": 0.1793430596590042, | |
| "eval_mean_accuracy": 0.7344515270729762, | |
| "eval_mean_iou": 0.6838281085102244, | |
| "eval_overall_accuracy": 0.9700000762939454, | |
| "eval_runtime": 6.1591, | |
| "eval_samples_per_second": 3.247, | |
| "eval_steps_per_second": 0.325, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 35.5, | |
| "learning_rate": 3.706140350877193e-05, | |
| "loss": 0.0442, | |
| "step": 71 | |
| }, | |
| { | |
| "epoch": 36.0, | |
| "learning_rate": 3.6842105263157895e-05, | |
| "loss": 0.0477, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 36.5, | |
| "learning_rate": 3.662280701754386e-05, | |
| "loss": 0.0418, | |
| "step": 73 | |
| }, | |
| { | |
| "epoch": 37.0, | |
| "learning_rate": 3.640350877192983e-05, | |
| "loss": 0.0829, | |
| "step": 74 | |
| }, | |
| { | |
| "epoch": 37.5, | |
| "learning_rate": 3.618421052631579e-05, | |
| "loss": 0.0458, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 38.0, | |
| "learning_rate": 3.5964912280701756e-05, | |
| "loss": 0.0465, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 38.5, | |
| "learning_rate": 3.574561403508772e-05, | |
| "loss": 0.0445, | |
| "step": 77 | |
| }, | |
| { | |
| "epoch": 39.0, | |
| "learning_rate": 3.5526315789473684e-05, | |
| "loss": 0.0509, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 39.5, | |
| "learning_rate": 3.530701754385965e-05, | |
| "loss": 0.0429, | |
| "step": 79 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "learning_rate": 3.508771929824561e-05, | |
| "loss": 0.0492, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "eval_accuracy_dropoff": 0.5238606390054817, | |
| "eval_accuracy_undropoff": 0.9895599600786884, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.42225237750136807, | |
| "eval_iou_undropoff": 0.969532907193877, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.1999509036540985, | |
| "eval_mean_accuracy": 0.7567102995420851, | |
| "eval_mean_iou": 0.46392842823174835, | |
| "eval_overall_accuracy": 0.970196533203125, | |
| "eval_runtime": 2.1001, | |
| "eval_samples_per_second": 9.523, | |
| "eval_steps_per_second": 0.952, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 40.5, | |
| "learning_rate": 3.4868421052631575e-05, | |
| "loss": 0.0405, | |
| "step": 81 | |
| }, | |
| { | |
| "epoch": 41.0, | |
| "learning_rate": 3.4649122807017546e-05, | |
| "loss": 0.0504, | |
| "step": 82 | |
| }, | |
| { | |
| "epoch": 41.5, | |
| "learning_rate": 3.442982456140351e-05, | |
| "loss": 0.0391, | |
| "step": 83 | |
| }, | |
| { | |
| "epoch": 42.0, | |
| "learning_rate": 3.421052631578947e-05, | |
| "loss": 0.0491, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 42.5, | |
| "learning_rate": 3.3991228070175444e-05, | |
| "loss": 0.0453, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 43.0, | |
| "learning_rate": 3.377192982456141e-05, | |
| "loss": 0.0471, | |
| "step": 86 | |
| }, | |
| { | |
| "epoch": 43.5, | |
| "learning_rate": 3.355263157894737e-05, | |
| "loss": 0.0401, | |
| "step": 87 | |
| }, | |
| { | |
| "epoch": 44.0, | |
| "learning_rate": 3.3333333333333335e-05, | |
| "loss": 0.0405, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 44.5, | |
| "learning_rate": 3.31140350877193e-05, | |
| "loss": 0.0438, | |
| "step": 89 | |
| }, | |
| { | |
| "epoch": 45.0, | |
| "learning_rate": 3.289473684210527e-05, | |
| "loss": 0.0409, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 45.0, | |
| "eval_accuracy_dropoff": 0.5687102915204477, | |
| "eval_accuracy_undropoff": 0.9869465669363577, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.4371709563555452, | |
| "eval_iou_undropoff": 0.9688193019443224, | |
| "eval_iou_unlabeled": NaN, | |
| "eval_loss": 0.18931810557842255, | |
| "eval_mean_accuracy": 0.7778284292284028, | |
| "eval_mean_iou": 0.7029951291499338, | |
| "eval_overall_accuracy": 0.9695566177368165, | |
| "eval_runtime": 2.0628, | |
| "eval_samples_per_second": 9.696, | |
| "eval_steps_per_second": 0.97, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 45.5, | |
| "learning_rate": 3.267543859649123e-05, | |
| "loss": 0.0392, | |
| "step": 91 | |
| }, | |
| { | |
| "epoch": 46.0, | |
| "learning_rate": 3.24561403508772e-05, | |
| "loss": 0.0384, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 46.5, | |
| "learning_rate": 3.223684210526316e-05, | |
| "loss": 0.0429, | |
| "step": 93 | |
| }, | |
| { | |
| "epoch": 47.0, | |
| "learning_rate": 3.2017543859649124e-05, | |
| "loss": 0.0351, | |
| "step": 94 | |
| }, | |
| { | |
| "epoch": 47.5, | |
| "learning_rate": 3.179824561403509e-05, | |
| "loss": 0.0372, | |
| "step": 95 | |
| }, | |
| { | |
| "epoch": 48.0, | |
| "learning_rate": 3.157894736842105e-05, | |
| "loss": 0.0429, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 48.5, | |
| "learning_rate": 3.1359649122807015e-05, | |
| "loss": 0.0358, | |
| "step": 97 | |
| }, | |
| { | |
| "epoch": 49.0, | |
| "learning_rate": 3.1140350877192986e-05, | |
| "loss": 0.0388, | |
| "step": 98 | |
| }, | |
| { | |
| "epoch": 49.5, | |
| "learning_rate": 3.092105263157895e-05, | |
| "loss": 0.0356, | |
| "step": 99 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "learning_rate": 3.0701754385964913e-05, | |
| "loss": 0.0328, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "eval_accuracy_dropoff": 0.5544622583086768, | |
| "eval_accuracy_undropoff": 0.9884865026761807, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.438174508517341, | |
| "eval_iou_undropoff": 0.969742542478441, | |
| "eval_iou_unlabeled": NaN, | |
| "eval_loss": 0.18416434526443481, | |
| "eval_mean_accuracy": 0.7714743804924287, | |
| "eval_mean_iou": 0.7039585254978911, | |
| "eval_overall_accuracy": 0.9704401016235351, | |
| "eval_runtime": 2.0828, | |
| "eval_samples_per_second": 9.602, | |
| "eval_steps_per_second": 0.96, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 50.5, | |
| "learning_rate": 3.048245614035088e-05, | |
| "loss": 0.0341, | |
| "step": 101 | |
| }, | |
| { | |
| "epoch": 51.0, | |
| "learning_rate": 3.0263157894736844e-05, | |
| "loss": 0.0357, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 51.5, | |
| "learning_rate": 3.0043859649122808e-05, | |
| "loss": 0.0339, | |
| "step": 103 | |
| }, | |
| { | |
| "epoch": 52.0, | |
| "learning_rate": 2.9824561403508772e-05, | |
| "loss": 0.0363, | |
| "step": 104 | |
| }, | |
| { | |
| "epoch": 52.5, | |
| "learning_rate": 2.9605263157894735e-05, | |
| "loss": 0.0337, | |
| "step": 105 | |
| }, | |
| { | |
| "epoch": 53.0, | |
| "learning_rate": 2.9385964912280706e-05, | |
| "loss": 0.0319, | |
| "step": 106 | |
| }, | |
| { | |
| "epoch": 53.5, | |
| "learning_rate": 2.916666666666667e-05, | |
| "loss": 0.0321, | |
| "step": 107 | |
| }, | |
| { | |
| "epoch": 54.0, | |
| "learning_rate": 2.8947368421052634e-05, | |
| "loss": 0.0358, | |
| "step": 108 | |
| }, | |
| { | |
| "epoch": 54.5, | |
| "learning_rate": 2.8728070175438597e-05, | |
| "loss": 0.032, | |
| "step": 109 | |
| }, | |
| { | |
| "epoch": 55.0, | |
| "learning_rate": 2.850877192982456e-05, | |
| "loss": 0.0332, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 55.0, | |
| "eval_accuracy_dropoff": 0.5215807702011515, | |
| "eval_accuracy_undropoff": 0.991029446445043, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.43221031584629244, | |
| "eval_iou_undropoff": 0.9708785696265562, | |
| "eval_iou_unlabeled": NaN, | |
| "eval_loss": 0.17805632948875427, | |
| "eval_mean_accuracy": 0.7563051083230972, | |
| "eval_mean_iou": 0.7015444427364244, | |
| "eval_overall_accuracy": 0.9715101242065429, | |
| "eval_runtime": 4.0759, | |
| "eval_samples_per_second": 4.907, | |
| "eval_steps_per_second": 0.491, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 55.5, | |
| "learning_rate": 2.8289473684210528e-05, | |
| "loss": 0.0333, | |
| "step": 111 | |
| }, | |
| { | |
| "epoch": 56.0, | |
| "learning_rate": 2.8070175438596492e-05, | |
| "loss": 0.0332, | |
| "step": 112 | |
| }, | |
| { | |
| "epoch": 56.5, | |
| "learning_rate": 2.7850877192982456e-05, | |
| "loss": 0.0337, | |
| "step": 113 | |
| }, | |
| { | |
| "epoch": 57.0, | |
| "learning_rate": 2.7631578947368426e-05, | |
| "loss": 0.0291, | |
| "step": 114 | |
| }, | |
| { | |
| "epoch": 57.5, | |
| "learning_rate": 2.741228070175439e-05, | |
| "loss": 0.0306, | |
| "step": 115 | |
| }, | |
| { | |
| "epoch": 58.0, | |
| "learning_rate": 2.7192982456140354e-05, | |
| "loss": 0.0382, | |
| "step": 116 | |
| }, | |
| { | |
| "epoch": 58.5, | |
| "learning_rate": 2.6973684210526317e-05, | |
| "loss": 0.0322, | |
| "step": 117 | |
| }, | |
| { | |
| "epoch": 59.0, | |
| "learning_rate": 2.675438596491228e-05, | |
| "loss": 0.0289, | |
| "step": 118 | |
| }, | |
| { | |
| "epoch": 59.5, | |
| "learning_rate": 2.6535087719298245e-05, | |
| "loss": 0.0326, | |
| "step": 119 | |
| }, | |
| { | |
| "epoch": 60.0, | |
| "learning_rate": 2.6315789473684212e-05, | |
| "loss": 0.0314, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 60.0, | |
| "eval_accuracy_dropoff": 0.4674969609394711, | |
| "eval_accuracy_undropoff": 0.9935327873175207, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.40684732446545196, | |
| "eval_iou_undropoff": 0.9710988280806261, | |
| "eval_iou_unlabeled": NaN, | |
| "eval_loss": 0.17315250635147095, | |
| "eval_mean_accuracy": 0.7305148741284959, | |
| "eval_mean_iou": 0.688973076273039, | |
| "eval_overall_accuracy": 0.9716606140136719, | |
| "eval_runtime": 5.7933, | |
| "eval_samples_per_second": 3.452, | |
| "eval_steps_per_second": 0.345, | |
| "step": 120 | |
| } | |
| ], | |
| "max_steps": 240, | |
| "num_train_epochs": 120, | |
| "total_flos": 6.945599099555021e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |