| { | |
| "best_metric": 0.25215277075767517, | |
| "best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/dropoff-utcustom-train-SF-RGB-b5_4/checkpoint-160", | |
| "epoch": 80.0, | |
| "global_step": 160, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.5, | |
| "learning_rate": 5.833333333333333e-07, | |
| "loss": 0.9908, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 1.1666666666666666e-06, | |
| "loss": 0.9755, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "learning_rate": 1.75e-06, | |
| "loss": 0.9832, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 2.333333333333333e-06, | |
| "loss": 0.9833, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "learning_rate": 2.9166666666666666e-06, | |
| "loss": 0.9793, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "learning_rate": 3.5e-06, | |
| "loss": 0.975, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 3.5, | |
| "learning_rate": 4.083333333333334e-06, | |
| "loss": 0.9728, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "learning_rate": 4.666666666666666e-06, | |
| "loss": 0.9563, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 4.5, | |
| "learning_rate": 5.25e-06, | |
| "loss": 0.952, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 5.833333333333333e-06, | |
| "loss": 0.9465, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy_dropoff": 0.30711254845294617, | |
| "eval_accuracy_undropoff": 0.6931472063539763, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.12608002952896777, | |
| "eval_iou_undropoff": 0.6824276188640029, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.9973907470703125, | |
| "eval_mean_accuracy": 0.5001298774034613, | |
| "eval_mean_iou": 0.26950254946432356, | |
| "eval_overall_accuracy": 0.677096176147461, | |
| "eval_runtime": 2.6009, | |
| "eval_samples_per_second": 7.69, | |
| "eval_steps_per_second": 0.769, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 5.5, | |
| "learning_rate": 6.4166666666666665e-06, | |
| "loss": 0.9364, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "learning_rate": 7e-06, | |
| "loss": 0.9277, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 6.5, | |
| "learning_rate": 6.969298245614035e-06, | |
| "loss": 0.9148, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "learning_rate": 6.9385964912280696e-06, | |
| "loss": 0.9038, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 7.5, | |
| "learning_rate": 6.907894736842105e-06, | |
| "loss": 0.8925, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "learning_rate": 6.87719298245614e-06, | |
| "loss": 0.8917, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 8.5, | |
| "learning_rate": 6.846491228070175e-06, | |
| "loss": 0.8802, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "learning_rate": 6.815789473684211e-06, | |
| "loss": 0.8682, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 9.5, | |
| "learning_rate": 6.785087719298246e-06, | |
| "loss": 0.8584, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "learning_rate": 6.75438596491228e-06, | |
| "loss": 0.8558, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy_dropoff": 0.543416133397555, | |
| "eval_accuracy_undropoff": 0.8804402488813177, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.2787406762512059, | |
| "eval_iou_undropoff": 0.8677574035561078, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.8237255215644836, | |
| "eval_mean_accuracy": 0.7119281911394364, | |
| "eval_mean_iou": 0.38216602660243787, | |
| "eval_overall_accuracy": 0.8664270401000976, | |
| "eval_runtime": 2.0893, | |
| "eval_samples_per_second": 9.573, | |
| "eval_steps_per_second": 0.957, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 10.5, | |
| "learning_rate": 6.7236842105263156e-06, | |
| "loss": 0.8292, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "learning_rate": 6.692982456140351e-06, | |
| "loss": 0.8484, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 11.5, | |
| "learning_rate": 6.662280701754385e-06, | |
| "loss": 0.8316, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "learning_rate": 6.6315789473684205e-06, | |
| "loss": 0.8077, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 12.5, | |
| "learning_rate": 6.600877192982457e-06, | |
| "loss": 0.8079, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "learning_rate": 6.570175438596491e-06, | |
| "loss": 0.7915, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 13.5, | |
| "learning_rate": 6.539473684210526e-06, | |
| "loss": 0.792, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "learning_rate": 6.5087719298245616e-06, | |
| "loss": 0.7818, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 14.5, | |
| "learning_rate": 6.478070175438596e-06, | |
| "loss": 0.7716, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "learning_rate": 6.447368421052631e-06, | |
| "loss": 0.7585, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_accuracy_dropoff": 0.5624716163214752, | |
| "eval_accuracy_undropoff": 0.9348810967813194, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.349393058642503, | |
| "eval_iou_undropoff": 0.9201710251519329, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.680091917514801, | |
| "eval_mean_accuracy": 0.7486763565513973, | |
| "eval_mean_iou": 0.42318802793147864, | |
| "eval_overall_accuracy": 0.9193965911865234, | |
| "eval_runtime": 2.1213, | |
| "eval_samples_per_second": 9.428, | |
| "eval_steps_per_second": 0.943, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 15.5, | |
| "learning_rate": 6.4166666666666665e-06, | |
| "loss": 0.7533, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "learning_rate": 6.385964912280701e-06, | |
| "loss": 0.7398, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 16.5, | |
| "learning_rate": 6.355263157894737e-06, | |
| "loss": 0.7511, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "learning_rate": 6.324561403508772e-06, | |
| "loss": 0.7172, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 17.5, | |
| "learning_rate": 6.293859649122807e-06, | |
| "loss": 0.708, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "learning_rate": 6.263157894736842e-06, | |
| "loss": 0.7258, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 18.5, | |
| "learning_rate": 6.232456140350877e-06, | |
| "loss": 0.7048, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "learning_rate": 6.201754385964912e-06, | |
| "loss": 0.6919, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 19.5, | |
| "learning_rate": 6.171052631578947e-06, | |
| "loss": 0.6687, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "learning_rate": 6.140350877192982e-06, | |
| "loss": 0.715, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy_dropoff": 0.5952063120713778, | |
| "eval_accuracy_undropoff": 0.9374720018468085, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.3660574736640166, | |
| "eval_iou_undropoff": 0.9233451410139708, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.6076321601867676, | |
| "eval_mean_accuracy": 0.7663391569590932, | |
| "eval_mean_iou": 0.4298008715593291, | |
| "eval_overall_accuracy": 0.923240852355957, | |
| "eval_runtime": 2.0795, | |
| "eval_samples_per_second": 9.618, | |
| "eval_steps_per_second": 0.962, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 20.5, | |
| "learning_rate": 6.1096491228070174e-06, | |
| "loss": 0.663, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 21.0, | |
| "learning_rate": 6.078947368421053e-06, | |
| "loss": 0.6637, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 21.5, | |
| "learning_rate": 6.048245614035088e-06, | |
| "loss": 0.64, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 22.0, | |
| "learning_rate": 6.017543859649122e-06, | |
| "loss": 0.6611, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 22.5, | |
| "learning_rate": 5.986842105263158e-06, | |
| "loss": 0.6221, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 23.0, | |
| "learning_rate": 5.956140350877193e-06, | |
| "loss": 0.6652, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 23.5, | |
| "learning_rate": 5.925438596491228e-06, | |
| "loss": 0.6329, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "learning_rate": 5.894736842105263e-06, | |
| "loss": 0.6025, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 24.5, | |
| "learning_rate": 5.864035087719299e-06, | |
| "loss": 0.6005, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "learning_rate": 5.833333333333333e-06, | |
| "loss": 0.6145, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "eval_accuracy_dropoff": 0.5993531961742242, | |
| "eval_accuracy_undropoff": 0.95265662796263, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.38194797677722625, | |
| "eval_iou_undropoff": 0.9374606493852639, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.5297996997833252, | |
| "eval_mean_accuracy": 0.7760049120684271, | |
| "eval_mean_iou": 0.4398028753874967, | |
| "eval_overall_accuracy": 0.9379665374755859, | |
| "eval_runtime": 5.0194, | |
| "eval_samples_per_second": 3.985, | |
| "eval_steps_per_second": 0.398, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 25.5, | |
| "learning_rate": 5.802631578947368e-06, | |
| "loss": 0.5857, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 26.0, | |
| "learning_rate": 5.771929824561404e-06, | |
| "loss": 0.5952, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 26.5, | |
| "learning_rate": 5.741228070175439e-06, | |
| "loss": 0.5949, | |
| "step": 53 | |
| }, | |
| { | |
| "epoch": 27.0, | |
| "learning_rate": 5.710526315789473e-06, | |
| "loss": 0.5617, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 27.5, | |
| "learning_rate": 5.6798245614035086e-06, | |
| "loss": 0.5524, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 28.0, | |
| "learning_rate": 5.649122807017544e-06, | |
| "loss": 0.5645, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 28.5, | |
| "learning_rate": 5.618421052631579e-06, | |
| "loss": 0.5292, | |
| "step": 57 | |
| }, | |
| { | |
| "epoch": 29.0, | |
| "learning_rate": 5.587719298245614e-06, | |
| "loss": 0.5744, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 29.5, | |
| "learning_rate": 5.55701754385965e-06, | |
| "loss": 0.5422, | |
| "step": 59 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "learning_rate": 5.526315789473684e-06, | |
| "loss": 0.5355, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "eval_accuracy_dropoff": 0.5917658661895915, | |
| "eval_accuracy_undropoff": 0.9580567515475479, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.3856504387079416, | |
| "eval_iou_undropoff": 0.9421913855333733, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.4821084141731262, | |
| "eval_mean_accuracy": 0.7749113088685697, | |
| "eval_mean_iou": 0.4426139414137717, | |
| "eval_overall_accuracy": 0.9428266525268555, | |
| "eval_runtime": 2.0486, | |
| "eval_samples_per_second": 9.763, | |
| "eval_steps_per_second": 0.976, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 30.5, | |
| "learning_rate": 5.495614035087719e-06, | |
| "loss": 0.5131, | |
| "step": 61 | |
| }, | |
| { | |
| "epoch": 31.0, | |
| "learning_rate": 5.4649122807017546e-06, | |
| "loss": 0.528, | |
| "step": 62 | |
| }, | |
| { | |
| "epoch": 31.5, | |
| "learning_rate": 5.434210526315789e-06, | |
| "loss": 0.5148, | |
| "step": 63 | |
| }, | |
| { | |
| "epoch": 32.0, | |
| "learning_rate": 5.403508771929824e-06, | |
| "loss": 0.497, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 32.5, | |
| "learning_rate": 5.37280701754386e-06, | |
| "loss": 0.5018, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 33.0, | |
| "learning_rate": 5.342105263157895e-06, | |
| "loss": 0.4883, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 33.5, | |
| "learning_rate": 5.31140350877193e-06, | |
| "loss": 0.4913, | |
| "step": 67 | |
| }, | |
| { | |
| "epoch": 34.0, | |
| "learning_rate": 5.280701754385965e-06, | |
| "loss": 0.479, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 34.5, | |
| "learning_rate": 5.25e-06, | |
| "loss": 0.4777, | |
| "step": 69 | |
| }, | |
| { | |
| "epoch": 35.0, | |
| "learning_rate": 5.219298245614035e-06, | |
| "loss": 0.4619, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 35.0, | |
| "eval_accuracy_dropoff": 0.57430675015482, | |
| "eval_accuracy_undropoff": 0.9688024701062811, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.3961785898502891, | |
| "eval_iou_undropoff": 0.9516637965632654, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.426582396030426, | |
| "eval_mean_accuracy": 0.7715546101305506, | |
| "eval_mean_iou": 0.4492807954711848, | |
| "eval_overall_accuracy": 0.9523996353149414, | |
| "eval_runtime": 2.1625, | |
| "eval_samples_per_second": 9.248, | |
| "eval_steps_per_second": 0.925, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 35.5, | |
| "learning_rate": 5.18859649122807e-06, | |
| "loss": 0.4508, | |
| "step": 71 | |
| }, | |
| { | |
| "epoch": 36.0, | |
| "learning_rate": 5.157894736842105e-06, | |
| "loss": 0.465, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 36.5, | |
| "learning_rate": 5.12719298245614e-06, | |
| "loss": 0.4234, | |
| "step": 73 | |
| }, | |
| { | |
| "epoch": 37.0, | |
| "learning_rate": 5.096491228070176e-06, | |
| "loss": 0.5107, | |
| "step": 74 | |
| }, | |
| { | |
| "epoch": 37.5, | |
| "learning_rate": 5.0657894736842104e-06, | |
| "loss": 0.4482, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 38.0, | |
| "learning_rate": 5.035087719298246e-06, | |
| "loss": 0.4299, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 38.5, | |
| "learning_rate": 5.004385964912281e-06, | |
| "loss": 0.4463, | |
| "step": 77 | |
| }, | |
| { | |
| "epoch": 39.0, | |
| "learning_rate": 4.973684210526315e-06, | |
| "loss": 0.4152, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 39.5, | |
| "learning_rate": 4.942982456140351e-06, | |
| "loss": 0.4062, | |
| "step": 79 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "learning_rate": 4.912280701754386e-06, | |
| "loss": 0.4367, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "eval_accuracy_dropoff": 0.57421041767013, | |
| "eval_accuracy_undropoff": 0.9734218793066906, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.39970303668933804, | |
| "eval_iou_undropoff": 0.9559435963272845, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.3941105604171753, | |
| "eval_mean_accuracy": 0.7738161484884103, | |
| "eval_mean_iou": 0.4518822110055409, | |
| "eval_overall_accuracy": 0.9568229675292969, | |
| "eval_runtime": 2.0471, | |
| "eval_samples_per_second": 9.77, | |
| "eval_steps_per_second": 0.977, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 40.5, | |
| "learning_rate": 4.88157894736842e-06, | |
| "loss": 0.3861, | |
| "step": 81 | |
| }, | |
| { | |
| "epoch": 41.0, | |
| "learning_rate": 4.8508771929824564e-06, | |
| "loss": 0.4259, | |
| "step": 82 | |
| }, | |
| { | |
| "epoch": 41.5, | |
| "learning_rate": 4.820175438596492e-06, | |
| "loss": 0.4131, | |
| "step": 83 | |
| }, | |
| { | |
| "epoch": 42.0, | |
| "learning_rate": 4.789473684210526e-06, | |
| "loss": 0.3905, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 42.5, | |
| "learning_rate": 4.758771929824561e-06, | |
| "loss": 0.3853, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 43.0, | |
| "learning_rate": 4.728070175438597e-06, | |
| "loss": 0.405, | |
| "step": 86 | |
| }, | |
| { | |
| "epoch": 43.5, | |
| "learning_rate": 4.697368421052631e-06, | |
| "loss": 0.3566, | |
| "step": 87 | |
| }, | |
| { | |
| "epoch": 44.0, | |
| "learning_rate": 4.666666666666666e-06, | |
| "loss": 0.4075, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 44.5, | |
| "learning_rate": 4.635964912280702e-06, | |
| "loss": 0.3765, | |
| "step": 89 | |
| }, | |
| { | |
| "epoch": 45.0, | |
| "learning_rate": 4.605263157894737e-06, | |
| "loss": 0.3839, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 45.0, | |
| "eval_accuracy_dropoff": 0.5852886534094819, | |
| "eval_accuracy_undropoff": 0.9738350230900806, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.40173932756916064, | |
| "eval_iou_undropoff": 0.9567496536398221, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.3801003098487854, | |
| "eval_mean_accuracy": 0.7795618382497813, | |
| "eval_mean_iou": 0.45282966040299427, | |
| "eval_overall_accuracy": 0.957679557800293, | |
| "eval_runtime": 2.0345, | |
| "eval_samples_per_second": 9.83, | |
| "eval_steps_per_second": 0.983, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 45.5, | |
| "learning_rate": 4.574561403508772e-06, | |
| "loss": 0.3629, | |
| "step": 91 | |
| }, | |
| { | |
| "epoch": 46.0, | |
| "learning_rate": 4.543859649122807e-06, | |
| "loss": 0.3631, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 46.5, | |
| "learning_rate": 4.513157894736842e-06, | |
| "loss": 0.3893, | |
| "step": 93 | |
| }, | |
| { | |
| "epoch": 47.0, | |
| "learning_rate": 4.482456140350877e-06, | |
| "loss": 0.3262, | |
| "step": 94 | |
| }, | |
| { | |
| "epoch": 47.5, | |
| "learning_rate": 4.451754385964912e-06, | |
| "loss": 0.3453, | |
| "step": 95 | |
| }, | |
| { | |
| "epoch": 48.0, | |
| "learning_rate": 4.421052631578947e-06, | |
| "loss": 0.3552, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 48.5, | |
| "learning_rate": 4.390350877192982e-06, | |
| "loss": 0.3294, | |
| "step": 97 | |
| }, | |
| { | |
| "epoch": 49.0, | |
| "learning_rate": 4.359649122807018e-06, | |
| "loss": 0.3545, | |
| "step": 98 | |
| }, | |
| { | |
| "epoch": 49.5, | |
| "learning_rate": 4.3289473684210525e-06, | |
| "loss": 0.3348, | |
| "step": 99 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "learning_rate": 4.298245614035088e-06, | |
| "loss": 0.3164, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "eval_accuracy_dropoff": 0.579715131080988, | |
| "eval_accuracy_undropoff": 0.9773475412870145, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.402982790123693, | |
| "eval_iou_undropoff": 0.9598959470439332, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.35493195056915283, | |
| "eval_mean_accuracy": 0.7785313361840013, | |
| "eval_mean_iou": 0.45429291238920877, | |
| "eval_overall_accuracy": 0.9608142852783204, | |
| "eval_runtime": 4.9884, | |
| "eval_samples_per_second": 4.009, | |
| "eval_steps_per_second": 0.401, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 50.5, | |
| "learning_rate": 4.267543859649123e-06, | |
| "loss": 0.3212, | |
| "step": 101 | |
| }, | |
| { | |
| "epoch": 51.0, | |
| "learning_rate": 4.2368421052631575e-06, | |
| "loss": 0.317, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 51.5, | |
| "learning_rate": 4.206140350877193e-06, | |
| "loss": 0.3036, | |
| "step": 103 | |
| }, | |
| { | |
| "epoch": 52.0, | |
| "learning_rate": 4.175438596491228e-06, | |
| "loss": 0.3359, | |
| "step": 104 | |
| }, | |
| { | |
| "epoch": 52.5, | |
| "learning_rate": 4.144736842105262e-06, | |
| "loss": 0.3258, | |
| "step": 105 | |
| }, | |
| { | |
| "epoch": 53.0, | |
| "learning_rate": 4.1140350877192985e-06, | |
| "loss": 0.2865, | |
| "step": 106 | |
| }, | |
| { | |
| "epoch": 53.5, | |
| "learning_rate": 4.083333333333334e-06, | |
| "loss": 0.302, | |
| "step": 107 | |
| }, | |
| { | |
| "epoch": 54.0, | |
| "learning_rate": 4.052631578947368e-06, | |
| "loss": 0.2893, | |
| "step": 108 | |
| }, | |
| { | |
| "epoch": 54.5, | |
| "learning_rate": 4.0219298245614034e-06, | |
| "loss": 0.2898, | |
| "step": 109 | |
| }, | |
| { | |
| "epoch": 55.0, | |
| "learning_rate": 3.991228070175439e-06, | |
| "loss": 0.3018, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 55.0, | |
| "eval_accuracy_dropoff": 0.56500378449047, | |
| "eval_accuracy_undropoff": 0.9812415607521366, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.40872075659532103, | |
| "eval_iou_undropoff": 0.9631125878264742, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.3326951861381531, | |
| "eval_mean_accuracy": 0.7731226726213033, | |
| "eval_mean_iou": 0.4572777814739317, | |
| "eval_overall_accuracy": 0.9639347076416016, | |
| "eval_runtime": 2.119, | |
| "eval_samples_per_second": 9.438, | |
| "eval_steps_per_second": 0.944, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 55.5, | |
| "learning_rate": 3.960526315789473e-06, | |
| "loss": 0.3035, | |
| "step": 111 | |
| }, | |
| { | |
| "epoch": 56.0, | |
| "learning_rate": 3.929824561403508e-06, | |
| "loss": 0.2833, | |
| "step": 112 | |
| }, | |
| { | |
| "epoch": 56.5, | |
| "learning_rate": 3.899122807017544e-06, | |
| "loss": 0.3054, | |
| "step": 113 | |
| }, | |
| { | |
| "epoch": 57.0, | |
| "learning_rate": 3.868421052631579e-06, | |
| "loss": 0.2554, | |
| "step": 114 | |
| }, | |
| { | |
| "epoch": 57.5, | |
| "learning_rate": 3.837719298245614e-06, | |
| "loss": 0.2572, | |
| "step": 115 | |
| }, | |
| { | |
| "epoch": 58.0, | |
| "learning_rate": 3.8070175438596494e-06, | |
| "loss": 0.3069, | |
| "step": 116 | |
| }, | |
| { | |
| "epoch": 58.5, | |
| "learning_rate": 3.7763157894736843e-06, | |
| "loss": 0.2838, | |
| "step": 117 | |
| }, | |
| { | |
| "epoch": 59.0, | |
| "learning_rate": 3.745614035087719e-06, | |
| "loss": 0.2495, | |
| "step": 118 | |
| }, | |
| { | |
| "epoch": 59.5, | |
| "learning_rate": 3.7149122807017544e-06, | |
| "loss": 0.2681, | |
| "step": 119 | |
| }, | |
| { | |
| "epoch": 60.0, | |
| "learning_rate": 3.6842105263157892e-06, | |
| "loss": 0.2646, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 60.0, | |
| "eval_accuracy_dropoff": 0.5570815844400101, | |
| "eval_accuracy_undropoff": 0.9835134535417228, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.412100255185145, | |
| "eval_iou_undropoff": 0.9650224323826128, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.3126855492591858, | |
| "eval_mean_accuracy": 0.7702975189908665, | |
| "eval_mean_iou": 0.4590408958559193, | |
| "eval_overall_accuracy": 0.9657827377319336, | |
| "eval_runtime": 2.0509, | |
| "eval_samples_per_second": 9.752, | |
| "eval_steps_per_second": 0.975, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 60.5, | |
| "learning_rate": 3.653508771929824e-06, | |
| "loss": 0.2256, | |
| "step": 121 | |
| }, | |
| { | |
| "epoch": 61.0, | |
| "learning_rate": 3.62280701754386e-06, | |
| "loss": 0.3095, | |
| "step": 122 | |
| }, | |
| { | |
| "epoch": 61.5, | |
| "learning_rate": 3.592105263157895e-06, | |
| "loss": 0.2611, | |
| "step": 123 | |
| }, | |
| { | |
| "epoch": 62.0, | |
| "learning_rate": 3.56140350877193e-06, | |
| "loss": 0.2418, | |
| "step": 124 | |
| }, | |
| { | |
| "epoch": 62.5, | |
| "learning_rate": 3.530701754385965e-06, | |
| "loss": 0.2557, | |
| "step": 125 | |
| }, | |
| { | |
| "epoch": 63.0, | |
| "learning_rate": 3.5e-06, | |
| "loss": 0.2477, | |
| "step": 126 | |
| }, | |
| { | |
| "epoch": 63.5, | |
| "learning_rate": 3.4692982456140348e-06, | |
| "loss": 0.2424, | |
| "step": 127 | |
| }, | |
| { | |
| "epoch": 64.0, | |
| "learning_rate": 3.43859649122807e-06, | |
| "loss": 0.2324, | |
| "step": 128 | |
| }, | |
| { | |
| "epoch": 64.5, | |
| "learning_rate": 3.4078947368421053e-06, | |
| "loss": 0.2386, | |
| "step": 129 | |
| }, | |
| { | |
| "epoch": 65.0, | |
| "learning_rate": 3.37719298245614e-06, | |
| "loss": 0.2378, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 65.0, | |
| "eval_accuracy_dropoff": 0.5606688226794192, | |
| "eval_accuracy_undropoff": 0.984957665697822, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.4217334745748091, | |
| "eval_iou_undropoff": 0.9665563204257981, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.2958146035671234, | |
| "eval_mean_accuracy": 0.7728132441886206, | |
| "eval_mean_iou": 0.46276326500020243, | |
| "eval_overall_accuracy": 0.9673160552978516, | |
| "eval_runtime": 2.3341, | |
| "eval_samples_per_second": 8.568, | |
| "eval_steps_per_second": 0.857, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 65.5, | |
| "learning_rate": 3.3464912280701754e-06, | |
| "loss": 0.2187, | |
| "step": 131 | |
| }, | |
| { | |
| "epoch": 66.0, | |
| "learning_rate": 3.3157894736842103e-06, | |
| "loss": 0.2415, | |
| "step": 132 | |
| }, | |
| { | |
| "epoch": 66.5, | |
| "learning_rate": 3.2850877192982455e-06, | |
| "loss": 0.2579, | |
| "step": 133 | |
| }, | |
| { | |
| "epoch": 67.0, | |
| "learning_rate": 3.2543859649122808e-06, | |
| "loss": 0.2052, | |
| "step": 134 | |
| }, | |
| { | |
| "epoch": 67.5, | |
| "learning_rate": 3.2236842105263156e-06, | |
| "loss": 0.234, | |
| "step": 135 | |
| }, | |
| { | |
| "epoch": 68.0, | |
| "learning_rate": 3.1929824561403505e-06, | |
| "loss": 0.2178, | |
| "step": 136 | |
| }, | |
| { | |
| "epoch": 68.5, | |
| "learning_rate": 3.162280701754386e-06, | |
| "loss": 0.2077, | |
| "step": 137 | |
| }, | |
| { | |
| "epoch": 69.0, | |
| "learning_rate": 3.131578947368421e-06, | |
| "loss": 0.2241, | |
| "step": 138 | |
| }, | |
| { | |
| "epoch": 69.5, | |
| "learning_rate": 3.100877192982456e-06, | |
| "loss": 0.2022, | |
| "step": 139 | |
| }, | |
| { | |
| "epoch": 70.0, | |
| "learning_rate": 3.070175438596491e-06, | |
| "loss": 0.2076, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 70.0, | |
| "eval_accuracy_dropoff": 0.5586183169338746, | |
| "eval_accuracy_undropoff": 0.9871487606184022, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.43398741259738133, | |
| "eval_iou_undropoff": 0.9686073602153299, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.277849018573761, | |
| "eval_mean_accuracy": 0.7728835387761384, | |
| "eval_mean_iou": 0.4675315909375704, | |
| "eval_overall_accuracy": 0.9693307876586914, | |
| "eval_runtime": 2.1472, | |
| "eval_samples_per_second": 9.314, | |
| "eval_steps_per_second": 0.931, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 70.5, | |
| "learning_rate": 3.0394736842105263e-06, | |
| "loss": 0.2043, | |
| "step": 141 | |
| }, | |
| { | |
| "epoch": 71.0, | |
| "learning_rate": 3.008771929824561e-06, | |
| "loss": 0.1992, | |
| "step": 142 | |
| }, | |
| { | |
| "epoch": 71.5, | |
| "learning_rate": 2.9780701754385965e-06, | |
| "loss": 0.1925, | |
| "step": 143 | |
| }, | |
| { | |
| "epoch": 72.0, | |
| "learning_rate": 2.9473684210526313e-06, | |
| "loss": 0.216, | |
| "step": 144 | |
| }, | |
| { | |
| "epoch": 72.5, | |
| "learning_rate": 2.9166666666666666e-06, | |
| "loss": 0.2052, | |
| "step": 145 | |
| }, | |
| { | |
| "epoch": 73.0, | |
| "learning_rate": 2.885964912280702e-06, | |
| "loss": 0.1942, | |
| "step": 146 | |
| }, | |
| { | |
| "epoch": 73.5, | |
| "learning_rate": 2.8552631578947367e-06, | |
| "loss": 0.1871, | |
| "step": 147 | |
| }, | |
| { | |
| "epoch": 74.0, | |
| "learning_rate": 2.824561403508772e-06, | |
| "loss": 0.2154, | |
| "step": 148 | |
| }, | |
| { | |
| "epoch": 74.5, | |
| "learning_rate": 2.793859649122807e-06, | |
| "loss": 0.1965, | |
| "step": 149 | |
| }, | |
| { | |
| "epoch": 75.0, | |
| "learning_rate": 2.763157894736842e-06, | |
| "loss": 0.1951, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 75.0, | |
| "eval_accuracy_dropoff": 0.5567237780683043, | |
| "eval_accuracy_undropoff": 0.9871250784843832, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.43141931883218215, | |
| "eval_iou_undropoff": 0.968521144388865, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.2648250460624695, | |
| "eval_mean_accuracy": 0.7719244282763438, | |
| "eval_mean_iou": 0.46664682107368244, | |
| "eval_overall_accuracy": 0.9692293167114258, | |
| "eval_runtime": 2.1475, | |
| "eval_samples_per_second": 9.313, | |
| "eval_steps_per_second": 0.931, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 75.5, | |
| "learning_rate": 2.7324561403508773e-06, | |
| "loss": 0.1975, | |
| "step": 151 | |
| }, | |
| { | |
| "epoch": 76.0, | |
| "learning_rate": 2.701754385964912e-06, | |
| "loss": 0.1756, | |
| "step": 152 | |
| }, | |
| { | |
| "epoch": 76.5, | |
| "learning_rate": 2.6710526315789474e-06, | |
| "loss": 0.1888, | |
| "step": 153 | |
| }, | |
| { | |
| "epoch": 77.0, | |
| "learning_rate": 2.6403508771929826e-06, | |
| "loss": 0.1835, | |
| "step": 154 | |
| }, | |
| { | |
| "epoch": 77.5, | |
| "learning_rate": 2.6096491228070175e-06, | |
| "loss": 0.2126, | |
| "step": 155 | |
| }, | |
| { | |
| "epoch": 78.0, | |
| "learning_rate": 2.5789473684210523e-06, | |
| "loss": 0.1656, | |
| "step": 156 | |
| }, | |
| { | |
| "epoch": 78.5, | |
| "learning_rate": 2.548245614035088e-06, | |
| "loss": 0.1864, | |
| "step": 157 | |
| }, | |
| { | |
| "epoch": 79.0, | |
| "learning_rate": 2.517543859649123e-06, | |
| "loss": 0.1706, | |
| "step": 158 | |
| }, | |
| { | |
| "epoch": 79.5, | |
| "learning_rate": 2.4868421052631577e-06, | |
| "loss": 0.1853, | |
| "step": 159 | |
| }, | |
| { | |
| "epoch": 80.0, | |
| "learning_rate": 2.456140350877193e-06, | |
| "loss": 0.1734, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 80.0, | |
| "eval_accuracy_dropoff": 0.539682102800523, | |
| "eval_accuracy_undropoff": 0.9889820364048132, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.4321544542235413, | |
| "eval_iou_undropoff": 0.9696399303821179, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.25215277075767517, | |
| "eval_mean_accuracy": 0.7643320696026681, | |
| "eval_mean_iou": 0.4672647948685531, | |
| "eval_overall_accuracy": 0.9703004837036133, | |
| "eval_runtime": 2.1141, | |
| "eval_samples_per_second": 9.46, | |
| "eval_steps_per_second": 0.946, | |
| "step": 160 | |
| } | |
| ], | |
| "max_steps": 240, | |
| "num_train_epochs": 120, | |
| "total_flos": 9.260798799406694e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |