| { | |
| "best_metric": 0.638337254524231, | |
| "best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/dropoff-utcustom-train-SF-RGB-b5_1/checkpoint-200", | |
| "epoch": 100.0, | |
| "global_step": 200, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.5, | |
| "learning_rate": 1.6666666666666665e-07, | |
| "loss": 1.0244, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 3.333333333333333e-07, | |
| "loss": 1.0185, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "learning_rate": 5e-07, | |
| "loss": 1.0196, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 6.666666666666666e-07, | |
| "loss": 1.0239, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "learning_rate": 8.333333333333333e-07, | |
| "loss": 1.0206, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "learning_rate": 1e-06, | |
| "loss": 1.0123, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 3.5, | |
| "learning_rate": 1.1666666666666668e-06, | |
| "loss": 1.0125, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "learning_rate": 1.3333333333333332e-06, | |
| "loss": 1.016, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 4.5, | |
| "learning_rate": 1.5e-06, | |
| "loss": 1.007, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 1.6666666666666667e-06, | |
| "loss": 1.0071, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy_dropoff": 0.025546457487557055, | |
| "eval_accuracy_undropoff": 0.5241011485834999, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.014703669184605108, | |
| "eval_iou_undropoff": 0.5086504735858094, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 1.0205577611923218, | |
| "eval_mean_accuracy": 0.27482380303552845, | |
| "eval_mean_iou": 0.17445138092347148, | |
| "eval_overall_accuracy": 0.5033716201782227, | |
| "eval_runtime": 2.8831, | |
| "eval_samples_per_second": 6.937, | |
| "eval_steps_per_second": 0.694, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 5.5, | |
| "learning_rate": 1.833333333333333e-06, | |
| "loss": 1.002, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "learning_rate": 2e-06, | |
| "loss": 0.9999, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 6.5, | |
| "learning_rate": 1.9912280701754384e-06, | |
| "loss": 0.9963, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "learning_rate": 1.982456140350877e-06, | |
| "loss": 0.9889, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 7.5, | |
| "learning_rate": 1.9736842105263157e-06, | |
| "loss": 0.9863, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "learning_rate": 1.964912280701754e-06, | |
| "loss": 0.9881, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 8.5, | |
| "learning_rate": 1.956140350877193e-06, | |
| "loss": 0.9856, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "learning_rate": 1.9473684210526315e-06, | |
| "loss": 0.9763, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 9.5, | |
| "learning_rate": 1.93859649122807e-06, | |
| "loss": 0.9789, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "learning_rate": 1.929824561403509e-06, | |
| "loss": 0.9688, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy_dropoff": 0.09924998279777059, | |
| "eval_accuracy_undropoff": 0.5978783594052401, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.05823063486894339, | |
| "eval_iou_undropoff": 0.5837983317382666, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.9873144030570984, | |
| "eval_mean_accuracy": 0.3485641711015054, | |
| "eval_mean_iou": 0.21400965553573667, | |
| "eval_overall_accuracy": 0.577145767211914, | |
| "eval_runtime": 2.4113, | |
| "eval_samples_per_second": 8.294, | |
| "eval_steps_per_second": 0.829, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 10.5, | |
| "learning_rate": 1.9210526315789474e-06, | |
| "loss": 0.9671, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "learning_rate": 1.912280701754386e-06, | |
| "loss": 0.9643, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 11.5, | |
| "learning_rate": 1.9035087719298243e-06, | |
| "loss": 0.9621, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "learning_rate": 1.894736842105263e-06, | |
| "loss": 0.9631, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 12.5, | |
| "learning_rate": 1.8859649122807019e-06, | |
| "loss": 0.958, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "learning_rate": 1.8771929824561403e-06, | |
| "loss": 0.9523, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 13.5, | |
| "learning_rate": 1.868421052631579e-06, | |
| "loss": 0.9526, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "learning_rate": 1.8596491228070175e-06, | |
| "loss": 0.9428, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 14.5, | |
| "learning_rate": 1.850877192982456e-06, | |
| "loss": 0.947, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "learning_rate": 1.8421052631578946e-06, | |
| "loss": 0.9406, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_accuracy_dropoff": 0.2037844904699649, | |
| "eval_accuracy_undropoff": 0.6855052404184374, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.1135240392724076, | |
| "eval_iou_undropoff": 0.6704558637017982, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.9312955141067505, | |
| "eval_mean_accuracy": 0.4446448654442012, | |
| "eval_mean_iou": 0.2613266343247353, | |
| "eval_overall_accuracy": 0.6654756546020508, | |
| "eval_runtime": 2.3961, | |
| "eval_samples_per_second": 8.347, | |
| "eval_steps_per_second": 0.835, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 15.5, | |
| "learning_rate": 1.833333333333333e-06, | |
| "loss": 0.9434, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "learning_rate": 1.8245614035087718e-06, | |
| "loss": 0.9337, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 16.5, | |
| "learning_rate": 1.8157894736842106e-06, | |
| "loss": 0.9365, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "learning_rate": 1.807017543859649e-06, | |
| "loss": 0.9311, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 17.5, | |
| "learning_rate": 1.7982456140350878e-06, | |
| "loss": 0.9313, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "learning_rate": 1.7894736842105262e-06, | |
| "loss": 0.9281, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 18.5, | |
| "learning_rate": 1.7807017543859647e-06, | |
| "loss": 0.927, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "learning_rate": 1.7719298245614034e-06, | |
| "loss": 0.9209, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 19.5, | |
| "learning_rate": 1.7631578947368419e-06, | |
| "loss": 0.9161, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "learning_rate": 1.7543859649122805e-06, | |
| "loss": 0.9278, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy_dropoff": 0.30091515860455514, | |
| "eval_accuracy_undropoff": 0.7288984723033463, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.16481371211493093, | |
| "eval_iou_undropoff": 0.7141641818866753, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.88507080078125, | |
| "eval_mean_accuracy": 0.5149068154539507, | |
| "eval_mean_iou": 0.2929926313338687, | |
| "eval_overall_accuracy": 0.7111032485961915, | |
| "eval_runtime": 2.3253, | |
| "eval_samples_per_second": 8.601, | |
| "eval_steps_per_second": 0.86, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 20.5, | |
| "learning_rate": 1.7456140350877194e-06, | |
| "loss": 0.9123, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 21.0, | |
| "learning_rate": 1.7368421052631579e-06, | |
| "loss": 0.9098, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 21.5, | |
| "learning_rate": 1.7280701754385966e-06, | |
| "loss": 0.9114, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 22.0, | |
| "learning_rate": 1.719298245614035e-06, | |
| "loss": 0.9087, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 22.5, | |
| "learning_rate": 1.7105263157894735e-06, | |
| "loss": 0.9003, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 23.0, | |
| "learning_rate": 1.7017543859649122e-06, | |
| "loss": 0.9087, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 23.5, | |
| "learning_rate": 1.6929824561403506e-06, | |
| "loss": 0.901, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "learning_rate": 1.6842105263157893e-06, | |
| "loss": 0.8953, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 24.5, | |
| "learning_rate": 1.6754385964912282e-06, | |
| "loss": 0.8924, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "learning_rate": 1.6666666666666667e-06, | |
| "loss": 0.8956, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "eval_accuracy_dropoff": 0.3769627743755591, | |
| "eval_accuracy_undropoff": 0.7513628670108868, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.19850953583032382, | |
| "eval_iou_undropoff": 0.7370141563659725, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.8563140630722046, | |
| "eval_mean_accuracy": 0.564162820693223, | |
| "eval_mean_iou": 0.31184123073209874, | |
| "eval_overall_accuracy": 0.7357955932617187, | |
| "eval_runtime": 2.2641, | |
| "eval_samples_per_second": 8.834, | |
| "eval_steps_per_second": 0.883, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 25.5, | |
| "learning_rate": 1.6578947368421053e-06, | |
| "loss": 0.8909, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 26.0, | |
| "learning_rate": 1.6491228070175438e-06, | |
| "loss": 0.8821, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 26.5, | |
| "learning_rate": 1.6403508771929823e-06, | |
| "loss": 0.8869, | |
| "step": 53 | |
| }, | |
| { | |
| "epoch": 27.0, | |
| "learning_rate": 1.631578947368421e-06, | |
| "loss": 0.8838, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 27.5, | |
| "learning_rate": 1.6228070175438594e-06, | |
| "loss": 0.8769, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 28.0, | |
| "learning_rate": 1.614035087719298e-06, | |
| "loss": 0.8819, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 28.5, | |
| "learning_rate": 1.605263157894737e-06, | |
| "loss": 0.8742, | |
| "step": 57 | |
| }, | |
| { | |
| "epoch": 29.0, | |
| "learning_rate": 1.5964912280701754e-06, | |
| "loss": 0.8858, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 29.5, | |
| "learning_rate": 1.5877192982456141e-06, | |
| "loss": 0.8734, | |
| "step": 59 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "learning_rate": 1.5789473684210526e-06, | |
| "loss": 0.8674, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "eval_accuracy_dropoff": 0.43656047157044886, | |
| "eval_accuracy_undropoff": 0.7806618459924953, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.2245523958736421, | |
| "eval_iou_undropoff": 0.7664355612520527, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.8260032534599304, | |
| "eval_mean_accuracy": 0.6086111587814721, | |
| "eval_mean_iou": 0.3303293190418983, | |
| "eval_overall_accuracy": 0.7663543701171875, | |
| "eval_runtime": 2.6403, | |
| "eval_samples_per_second": 7.575, | |
| "eval_steps_per_second": 0.757, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 30.5, | |
| "learning_rate": 1.570175438596491e-06, | |
| "loss": 0.8687, | |
| "step": 61 | |
| }, | |
| { | |
| "epoch": 31.0, | |
| "learning_rate": 1.5614035087719297e-06, | |
| "loss": 0.8671, | |
| "step": 62 | |
| }, | |
| { | |
| "epoch": 31.5, | |
| "learning_rate": 1.5526315789473682e-06, | |
| "loss": 0.866, | |
| "step": 63 | |
| }, | |
| { | |
| "epoch": 32.0, | |
| "learning_rate": 1.5438596491228069e-06, | |
| "loss": 0.853, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 32.5, | |
| "learning_rate": 1.5350877192982458e-06, | |
| "loss": 0.8616, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 33.0, | |
| "learning_rate": 1.5263157894736842e-06, | |
| "loss": 0.8555, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 33.5, | |
| "learning_rate": 1.517543859649123e-06, | |
| "loss": 0.856, | |
| "step": 67 | |
| }, | |
| { | |
| "epoch": 34.0, | |
| "learning_rate": 1.5087719298245614e-06, | |
| "loss": 0.8452, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 34.5, | |
| "learning_rate": 1.5e-06, | |
| "loss": 0.8559, | |
| "step": 69 | |
| }, | |
| { | |
| "epoch": 35.0, | |
| "learning_rate": 1.4912280701754385e-06, | |
| "loss": 0.8438, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 35.0, | |
| "eval_accuracy_dropoff": 0.4920571572742494, | |
| "eval_accuracy_undropoff": 0.7790013104777522, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.23805307181361615, | |
| "eval_iou_undropoff": 0.7660370749081444, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.8148576617240906, | |
| "eval_mean_accuracy": 0.6355292338760008, | |
| "eval_mean_iou": 0.3346967155739202, | |
| "eval_overall_accuracy": 0.7670703887939453, | |
| "eval_runtime": 2.6339, | |
| "eval_samples_per_second": 7.593, | |
| "eval_steps_per_second": 0.759, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 35.5, | |
| "learning_rate": 1.482456140350877e-06, | |
| "loss": 0.8387, | |
| "step": 71 | |
| }, | |
| { | |
| "epoch": 36.0, | |
| "learning_rate": 1.4736842105263156e-06, | |
| "loss": 0.8475, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 36.5, | |
| "learning_rate": 1.4649122807017541e-06, | |
| "loss": 0.8298, | |
| "step": 73 | |
| }, | |
| { | |
| "epoch": 37.0, | |
| "learning_rate": 1.456140350877193e-06, | |
| "loss": 0.8521, | |
| "step": 74 | |
| }, | |
| { | |
| "epoch": 37.5, | |
| "learning_rate": 1.4473684210526317e-06, | |
| "loss": 0.8356, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 38.0, | |
| "learning_rate": 1.4385964912280701e-06, | |
| "loss": 0.8229, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 38.5, | |
| "learning_rate": 1.4298245614035088e-06, | |
| "loss": 0.8277, | |
| "step": 77 | |
| }, | |
| { | |
| "epoch": 39.0, | |
| "learning_rate": 1.4210526315789473e-06, | |
| "loss": 0.8268, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 39.5, | |
| "learning_rate": 1.4122807017543857e-06, | |
| "loss": 0.8204, | |
| "step": 79 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "learning_rate": 1.4035087719298244e-06, | |
| "loss": 0.8309, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "eval_accuracy_dropoff": 0.49719488979105025, | |
| "eval_accuracy_undropoff": 0.797183020108918, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.25387240561121116, | |
| "eval_iou_undropoff": 0.7839036228326106, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.7881223559379578, | |
| "eval_mean_accuracy": 0.6471889549499841, | |
| "eval_mean_iou": 0.34592534281460724, | |
| "eval_overall_accuracy": 0.7847097396850586, | |
| "eval_runtime": 2.3528, | |
| "eval_samples_per_second": 8.501, | |
| "eval_steps_per_second": 0.85, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 40.5, | |
| "learning_rate": 1.3947368421052629e-06, | |
| "loss": 0.8164, | |
| "step": 81 | |
| }, | |
| { | |
| "epoch": 41.0, | |
| "learning_rate": 1.3859649122807018e-06, | |
| "loss": 0.8311, | |
| "step": 82 | |
| }, | |
| { | |
| "epoch": 41.5, | |
| "learning_rate": 1.3771929824561405e-06, | |
| "loss": 0.8189, | |
| "step": 83 | |
| }, | |
| { | |
| "epoch": 42.0, | |
| "learning_rate": 1.368421052631579e-06, | |
| "loss": 0.8179, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 42.5, | |
| "learning_rate": 1.3596491228070176e-06, | |
| "loss": 0.8202, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 43.0, | |
| "learning_rate": 1.350877192982456e-06, | |
| "loss": 0.8104, | |
| "step": 86 | |
| }, | |
| { | |
| "epoch": 43.5, | |
| "learning_rate": 1.3421052631578945e-06, | |
| "loss": 0.8061, | |
| "step": 87 | |
| }, | |
| { | |
| "epoch": 44.0, | |
| "learning_rate": 1.3333333333333332e-06, | |
| "loss": 0.817, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 44.5, | |
| "learning_rate": 1.3245614035087717e-06, | |
| "loss": 0.8078, | |
| "step": 89 | |
| }, | |
| { | |
| "epoch": 45.0, | |
| "learning_rate": 1.3157894736842106e-06, | |
| "loss": 0.8069, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 45.0, | |
| "eval_accuracy_dropoff": 0.5063373013142504, | |
| "eval_accuracy_undropoff": 0.816973124758079, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.2667705916473318, | |
| "eval_iou_undropoff": 0.8033164328582806, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.7640160322189331, | |
| "eval_mean_accuracy": 0.6616552130361647, | |
| "eval_mean_iou": 0.35669567483520415, | |
| "eval_overall_accuracy": 0.8040571212768555, | |
| "eval_runtime": 2.4378, | |
| "eval_samples_per_second": 8.204, | |
| "eval_steps_per_second": 0.82, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 45.5, | |
| "learning_rate": 1.3070175438596492e-06, | |
| "loss": 0.796, | |
| "step": 91 | |
| }, | |
| { | |
| "epoch": 46.0, | |
| "learning_rate": 1.2982456140350877e-06, | |
| "loss": 0.8078, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 46.5, | |
| "learning_rate": 1.2894736842105264e-06, | |
| "loss": 0.8064, | |
| "step": 93 | |
| }, | |
| { | |
| "epoch": 47.0, | |
| "learning_rate": 1.2807017543859648e-06, | |
| "loss": 0.7821, | |
| "step": 94 | |
| }, | |
| { | |
| "epoch": 47.5, | |
| "learning_rate": 1.2719298245614033e-06, | |
| "loss": 0.7981, | |
| "step": 95 | |
| }, | |
| { | |
| "epoch": 48.0, | |
| "learning_rate": 1.263157894736842e-06, | |
| "loss": 0.7868, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 48.5, | |
| "learning_rate": 1.2543859649122804e-06, | |
| "loss": 0.7887, | |
| "step": 97 | |
| }, | |
| { | |
| "epoch": 49.0, | |
| "learning_rate": 1.2456140350877193e-06, | |
| "loss": 0.7935, | |
| "step": 98 | |
| }, | |
| { | |
| "epoch": 49.5, | |
| "learning_rate": 1.236842105263158e-06, | |
| "loss": 0.7878, | |
| "step": 99 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "learning_rate": 1.2280701754385965e-06, | |
| "loss": 0.7779, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "eval_accuracy_dropoff": 0.5315901740865616, | |
| "eval_accuracy_undropoff": 0.8268033994807842, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.27780135060302485, | |
| "eval_iou_undropoff": 0.8132247439558549, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.7485586404800415, | |
| "eval_mean_accuracy": 0.6791967867836729, | |
| "eval_mean_iou": 0.36367536485295987, | |
| "eval_overall_accuracy": 0.8145286560058593, | |
| "eval_runtime": 2.3681, | |
| "eval_samples_per_second": 8.446, | |
| "eval_steps_per_second": 0.845, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 50.5, | |
| "learning_rate": 1.2192982456140352e-06, | |
| "loss": 0.7784, | |
| "step": 101 | |
| }, | |
| { | |
| "epoch": 51.0, | |
| "learning_rate": 1.2105263157894736e-06, | |
| "loss": 0.7842, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 51.5, | |
| "learning_rate": 1.201754385964912e-06, | |
| "loss": 0.7646, | |
| "step": 103 | |
| }, | |
| { | |
| "epoch": 52.0, | |
| "learning_rate": 1.1929824561403508e-06, | |
| "loss": 0.7897, | |
| "step": 104 | |
| }, | |
| { | |
| "epoch": 52.5, | |
| "learning_rate": 1.1842105263157892e-06, | |
| "loss": 0.7794, | |
| "step": 105 | |
| }, | |
| { | |
| "epoch": 53.0, | |
| "learning_rate": 1.1754385964912281e-06, | |
| "loss": 0.7655, | |
| "step": 106 | |
| }, | |
| { | |
| "epoch": 53.5, | |
| "learning_rate": 1.1666666666666668e-06, | |
| "loss": 0.7677, | |
| "step": 107 | |
| }, | |
| { | |
| "epoch": 54.0, | |
| "learning_rate": 1.1578947368421053e-06, | |
| "loss": 0.7643, | |
| "step": 108 | |
| }, | |
| { | |
| "epoch": 54.5, | |
| "learning_rate": 1.149122807017544e-06, | |
| "loss": 0.7651, | |
| "step": 109 | |
| }, | |
| { | |
| "epoch": 55.0, | |
| "learning_rate": 1.1403508771929824e-06, | |
| "loss": 0.7695, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 55.0, | |
| "eval_accuracy_dropoff": 0.5541870226381339, | |
| "eval_accuracy_undropoff": 0.8329422464394708, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.28578390091121564, | |
| "eval_iou_undropoff": 0.8195285806313918, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.7353506684303284, | |
| "eval_mean_accuracy": 0.6935646345388023, | |
| "eval_mean_iou": 0.3684374938475358, | |
| "eval_overall_accuracy": 0.8213518142700196, | |
| "eval_runtime": 2.4084, | |
| "eval_samples_per_second": 8.304, | |
| "eval_steps_per_second": 0.83, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 55.5, | |
| "learning_rate": 1.1315789473684209e-06, | |
| "loss": 0.7605, | |
| "step": 111 | |
| }, | |
| { | |
| "epoch": 56.0, | |
| "learning_rate": 1.1228070175438595e-06, | |
| "loss": 0.7552, | |
| "step": 112 | |
| }, | |
| { | |
| "epoch": 56.5, | |
| "learning_rate": 1.114035087719298e-06, | |
| "loss": 0.7735, | |
| "step": 113 | |
| }, | |
| { | |
| "epoch": 57.0, | |
| "learning_rate": 1.1052631578947369e-06, | |
| "loss": 0.7486, | |
| "step": 114 | |
| }, | |
| { | |
| "epoch": 57.5, | |
| "learning_rate": 1.0964912280701756e-06, | |
| "loss": 0.7472, | |
| "step": 115 | |
| }, | |
| { | |
| "epoch": 58.0, | |
| "learning_rate": 1.087719298245614e-06, | |
| "loss": 0.7678, | |
| "step": 116 | |
| }, | |
| { | |
| "epoch": 58.5, | |
| "learning_rate": 1.0789473684210527e-06, | |
| "loss": 0.7578, | |
| "step": 117 | |
| }, | |
| { | |
| "epoch": 59.0, | |
| "learning_rate": 1.0701754385964912e-06, | |
| "loss": 0.7411, | |
| "step": 118 | |
| }, | |
| { | |
| "epoch": 59.5, | |
| "learning_rate": 1.0614035087719296e-06, | |
| "loss": 0.751, | |
| "step": 119 | |
| }, | |
| { | |
| "epoch": 60.0, | |
| "learning_rate": 1.0526315789473683e-06, | |
| "loss": 0.7568, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 60.0, | |
| "eval_accuracy_dropoff": 0.5577375627881374, | |
| "eval_accuracy_undropoff": 0.848569867768118, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.2924013736977288, | |
| "eval_iou_undropoff": 0.8346954991270276, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.7164114117622375, | |
| "eval_mean_accuracy": 0.7031537152781278, | |
| "eval_mean_iou": 0.3756989576082521, | |
| "eval_overall_accuracy": 0.8364772796630859, | |
| "eval_runtime": 2.284, | |
| "eval_samples_per_second": 8.757, | |
| "eval_steps_per_second": 0.876, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 60.5, | |
| "learning_rate": 1.0438596491228068e-06, | |
| "loss": 0.7328, | |
| "step": 121 | |
| }, | |
| { | |
| "epoch": 61.0, | |
| "learning_rate": 1.0350877192982457e-06, | |
| "loss": 0.7637, | |
| "step": 122 | |
| }, | |
| { | |
| "epoch": 61.5, | |
| "learning_rate": 1.0263157894736843e-06, | |
| "loss": 0.7493, | |
| "step": 123 | |
| }, | |
| { | |
| "epoch": 62.0, | |
| "learning_rate": 1.0175438596491228e-06, | |
| "loss": 0.7258, | |
| "step": 124 | |
| }, | |
| { | |
| "epoch": 62.5, | |
| "learning_rate": 1.0087719298245615e-06, | |
| "loss": 0.7437, | |
| "step": 125 | |
| }, | |
| { | |
| "epoch": 63.0, | |
| "learning_rate": 1e-06, | |
| "loss": 0.733, | |
| "step": 126 | |
| }, | |
| { | |
| "epoch": 63.5, | |
| "learning_rate": 9.912280701754384e-07, | |
| "loss": 0.7313, | |
| "step": 127 | |
| }, | |
| { | |
| "epoch": 64.0, | |
| "learning_rate": 9.82456140350877e-07, | |
| "loss": 0.7433, | |
| "step": 128 | |
| }, | |
| { | |
| "epoch": 64.5, | |
| "learning_rate": 9.736842105263158e-07, | |
| "loss": 0.7263, | |
| "step": 129 | |
| }, | |
| { | |
| "epoch": 65.0, | |
| "learning_rate": 9.649122807017545e-07, | |
| "loss": 0.7285, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 65.0, | |
| "eval_accuracy_dropoff": 0.5629578660061011, | |
| "eval_accuracy_undropoff": 0.8607761172643752, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.3042259247231594, | |
| "eval_iou_undropoff": 0.8466948800351104, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.6976498365402222, | |
| "eval_mean_accuracy": 0.7118669916352381, | |
| "eval_mean_iou": 0.3836402682527566, | |
| "eval_overall_accuracy": 0.8483930587768554, | |
| "eval_runtime": 2.403, | |
| "eval_samples_per_second": 8.323, | |
| "eval_steps_per_second": 0.832, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 65.5, | |
| "learning_rate": 9.56140350877193e-07, | |
| "loss": 0.7262, | |
| "step": 131 | |
| }, | |
| { | |
| "epoch": 66.0, | |
| "learning_rate": 9.473684210526315e-07, | |
| "loss": 0.7348, | |
| "step": 132 | |
| }, | |
| { | |
| "epoch": 66.5, | |
| "learning_rate": 9.385964912280702e-07, | |
| "loss": 0.7368, | |
| "step": 133 | |
| }, | |
| { | |
| "epoch": 67.0, | |
| "learning_rate": 9.298245614035087e-07, | |
| "loss": 0.7111, | |
| "step": 134 | |
| }, | |
| { | |
| "epoch": 67.5, | |
| "learning_rate": 9.210526315789473e-07, | |
| "loss": 0.7316, | |
| "step": 135 | |
| }, | |
| { | |
| "epoch": 68.0, | |
| "learning_rate": 9.122807017543859e-07, | |
| "loss": 0.722, | |
| "step": 136 | |
| }, | |
| { | |
| "epoch": 68.5, | |
| "learning_rate": 9.035087719298246e-07, | |
| "loss": 0.7184, | |
| "step": 137 | |
| }, | |
| { | |
| "epoch": 69.0, | |
| "learning_rate": 8.947368421052631e-07, | |
| "loss": 0.7344, | |
| "step": 138 | |
| }, | |
| { | |
| "epoch": 69.5, | |
| "learning_rate": 8.859649122807017e-07, | |
| "loss": 0.7296, | |
| "step": 139 | |
| }, | |
| { | |
| "epoch": 70.0, | |
| "learning_rate": 8.771929824561403e-07, | |
| "loss": 0.7217, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 70.0, | |
| "eval_accuracy_dropoff": 0.5817381132594784, | |
| "eval_accuracy_undropoff": 0.8615813098210208, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.30911656953148425, | |
| "eval_iou_undropoff": 0.8479873812981374, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.6922430992126465, | |
| "eval_mean_accuracy": 0.7216597115402497, | |
| "eval_mean_iou": 0.38570131694320725, | |
| "eval_overall_accuracy": 0.8499456405639648, | |
| "eval_runtime": 2.4409, | |
| "eval_samples_per_second": 8.194, | |
| "eval_steps_per_second": 0.819, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 70.5, | |
| "learning_rate": 8.684210526315789e-07, | |
| "loss": 0.7193, | |
| "step": 141 | |
| }, | |
| { | |
| "epoch": 71.0, | |
| "learning_rate": 8.596491228070175e-07, | |
| "loss": 0.7183, | |
| "step": 142 | |
| }, | |
| { | |
| "epoch": 71.5, | |
| "learning_rate": 8.508771929824561e-07, | |
| "loss": 0.7078, | |
| "step": 143 | |
| }, | |
| { | |
| "epoch": 72.0, | |
| "learning_rate": 8.421052631578947e-07, | |
| "loss": 0.7164, | |
| "step": 144 | |
| }, | |
| { | |
| "epoch": 72.5, | |
| "learning_rate": 8.333333333333333e-07, | |
| "loss": 0.7079, | |
| "step": 145 | |
| }, | |
| { | |
| "epoch": 73.0, | |
| "learning_rate": 8.245614035087719e-07, | |
| "loss": 0.714, | |
| "step": 146 | |
| }, | |
| { | |
| "epoch": 73.5, | |
| "learning_rate": 8.157894736842105e-07, | |
| "loss": 0.6951, | |
| "step": 147 | |
| }, | |
| { | |
| "epoch": 74.0, | |
| "learning_rate": 8.07017543859649e-07, | |
| "loss": 0.7092, | |
| "step": 148 | |
| }, | |
| { | |
| "epoch": 74.5, | |
| "learning_rate": 7.982456140350877e-07, | |
| "loss": 0.7053, | |
| "step": 149 | |
| }, | |
| { | |
| "epoch": 75.0, | |
| "learning_rate": 7.894736842105263e-07, | |
| "loss": 0.7095, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 75.0, | |
| "eval_accuracy_dropoff": 0.5827794215463658, | |
| "eval_accuracy_undropoff": 0.8745350391103478, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.3172149465037017, | |
| "eval_iou_undropoff": 0.8605078409241332, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.6707638502120972, | |
| "eval_mean_accuracy": 0.7286572303283567, | |
| "eval_mean_iou": 0.39257426247594496, | |
| "eval_overall_accuracy": 0.8624040603637695, | |
| "eval_runtime": 2.5432, | |
| "eval_samples_per_second": 7.864, | |
| "eval_steps_per_second": 0.786, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 75.5, | |
| "learning_rate": 7.807017543859649e-07, | |
| "loss": 0.7204, | |
| "step": 151 | |
| }, | |
| { | |
| "epoch": 76.0, | |
| "learning_rate": 7.719298245614034e-07, | |
| "loss": 0.7071, | |
| "step": 152 | |
| }, | |
| { | |
| "epoch": 76.5, | |
| "learning_rate": 7.631578947368421e-07, | |
| "loss": 0.6954, | |
| "step": 153 | |
| }, | |
| { | |
| "epoch": 77.0, | |
| "learning_rate": 7.543859649122807e-07, | |
| "loss": 0.7101, | |
| "step": 154 | |
| }, | |
| { | |
| "epoch": 77.5, | |
| "learning_rate": 7.456140350877193e-07, | |
| "loss": 0.7127, | |
| "step": 155 | |
| }, | |
| { | |
| "epoch": 78.0, | |
| "learning_rate": 7.368421052631578e-07, | |
| "loss": 0.683, | |
| "step": 156 | |
| }, | |
| { | |
| "epoch": 78.5, | |
| "learning_rate": 7.280701754385965e-07, | |
| "loss": 0.6881, | |
| "step": 157 | |
| }, | |
| { | |
| "epoch": 79.0, | |
| "learning_rate": 7.192982456140351e-07, | |
| "loss": 0.6876, | |
| "step": 158 | |
| }, | |
| { | |
| "epoch": 79.5, | |
| "learning_rate": 7.105263157894736e-07, | |
| "loss": 0.7081, | |
| "step": 159 | |
| }, | |
| { | |
| "epoch": 80.0, | |
| "learning_rate": 7.017543859649122e-07, | |
| "loss": 0.6944, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 80.0, | |
| "eval_accuracy_dropoff": 0.5858207757058648, | |
| "eval_accuracy_undropoff": 0.8781162155949838, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.3212115419441817, | |
| "eval_iou_undropoff": 0.8640945209406817, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.6636559963226318, | |
| "eval_mean_accuracy": 0.7319684956504242, | |
| "eval_mean_iou": 0.39510202096162117, | |
| "eval_overall_accuracy": 0.8659627914428711, | |
| "eval_runtime": 2.517, | |
| "eval_samples_per_second": 7.946, | |
| "eval_steps_per_second": 0.795, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 80.5, | |
| "learning_rate": 6.929824561403509e-07, | |
| "loss": 0.6867, | |
| "step": 161 | |
| }, | |
| { | |
| "epoch": 81.0, | |
| "learning_rate": 6.842105263157895e-07, | |
| "loss": 0.7011, | |
| "step": 162 | |
| }, | |
| { | |
| "epoch": 81.5, | |
| "learning_rate": 6.75438596491228e-07, | |
| "loss": 0.6953, | |
| "step": 163 | |
| }, | |
| { | |
| "epoch": 82.0, | |
| "learning_rate": 6.666666666666666e-07, | |
| "loss": 0.6797, | |
| "step": 164 | |
| }, | |
| { | |
| "epoch": 82.5, | |
| "learning_rate": 6.578947368421053e-07, | |
| "loss": 0.6792, | |
| "step": 165 | |
| }, | |
| { | |
| "epoch": 83.0, | |
| "learning_rate": 6.491228070175438e-07, | |
| "loss": 0.7, | |
| "step": 166 | |
| }, | |
| { | |
| "epoch": 83.5, | |
| "learning_rate": 6.403508771929824e-07, | |
| "loss": 0.686, | |
| "step": 167 | |
| }, | |
| { | |
| "epoch": 84.0, | |
| "learning_rate": 6.31578947368421e-07, | |
| "loss": 0.6837, | |
| "step": 168 | |
| }, | |
| { | |
| "epoch": 84.5, | |
| "learning_rate": 6.228070175438597e-07, | |
| "loss": 0.6896, | |
| "step": 169 | |
| }, | |
| { | |
| "epoch": 85.0, | |
| "learning_rate": 6.140350877192982e-07, | |
| "loss": 0.6878, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 85.0, | |
| "eval_accuracy_dropoff": 0.6005045987293287, | |
| "eval_accuracy_undropoff": 0.8788236944726098, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.31748884361660845, | |
| "eval_iou_undropoff": 0.8651941216012483, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.6632260084152222, | |
| "eval_mean_accuracy": 0.7396641466009692, | |
| "eval_mean_iou": 0.3942276550726189, | |
| "eval_overall_accuracy": 0.8672513961791992, | |
| "eval_runtime": 2.7068, | |
| "eval_samples_per_second": 7.389, | |
| "eval_steps_per_second": 0.739, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 85.5, | |
| "learning_rate": 6.052631578947368e-07, | |
| "loss": 0.6892, | |
| "step": 171 | |
| }, | |
| { | |
| "epoch": 86.0, | |
| "learning_rate": 5.964912280701754e-07, | |
| "loss": 0.6707, | |
| "step": 172 | |
| }, | |
| { | |
| "epoch": 86.5, | |
| "learning_rate": 5.877192982456141e-07, | |
| "loss": 0.6824, | |
| "step": 173 | |
| }, | |
| { | |
| "epoch": 87.0, | |
| "learning_rate": 5.789473684210526e-07, | |
| "loss": 0.6725, | |
| "step": 174 | |
| }, | |
| { | |
| "epoch": 87.5, | |
| "learning_rate": 5.701754385964912e-07, | |
| "loss": 0.6696, | |
| "step": 175 | |
| }, | |
| { | |
| "epoch": 88.0, | |
| "learning_rate": 5.614035087719298e-07, | |
| "loss": 0.6839, | |
| "step": 176 | |
| }, | |
| { | |
| "epoch": 88.5, | |
| "learning_rate": 5.526315789473684e-07, | |
| "loss": 0.6838, | |
| "step": 177 | |
| }, | |
| { | |
| "epoch": 89.0, | |
| "learning_rate": 5.43859649122807e-07, | |
| "loss": 0.6648, | |
| "step": 178 | |
| }, | |
| { | |
| "epoch": 89.5, | |
| "learning_rate": 5.350877192982456e-07, | |
| "loss": 0.6693, | |
| "step": 179 | |
| }, | |
| { | |
| "epoch": 90.0, | |
| "learning_rate": 5.263157894736842e-07, | |
| "loss": 0.6868, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 90.0, | |
| "eval_accuracy_dropoff": 0.5902061973898484, | |
| "eval_accuracy_undropoff": 0.8879755457090063, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.325670517480535, | |
| "eval_iou_undropoff": 0.8738749678072607, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.6468318700790405, | |
| "eval_mean_accuracy": 0.7390908715494273, | |
| "eval_mean_iou": 0.39984849509593196, | |
| "eval_overall_accuracy": 0.8755945205688477, | |
| "eval_runtime": 2.6683, | |
| "eval_samples_per_second": 7.495, | |
| "eval_steps_per_second": 0.75, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 90.5, | |
| "learning_rate": 5.175438596491228e-07, | |
| "loss": 0.6574, | |
| "step": 181 | |
| }, | |
| { | |
| "epoch": 91.0, | |
| "learning_rate": 5.087719298245614e-07, | |
| "loss": 0.6836, | |
| "step": 182 | |
| }, | |
| { | |
| "epoch": 91.5, | |
| "learning_rate": 5e-07, | |
| "loss": 0.6629, | |
| "step": 183 | |
| }, | |
| { | |
| "epoch": 92.0, | |
| "learning_rate": 4.912280701754385e-07, | |
| "loss": 0.6804, | |
| "step": 184 | |
| }, | |
| { | |
| "epoch": 92.5, | |
| "learning_rate": 4.824561403508772e-07, | |
| "loss": 0.681, | |
| "step": 185 | |
| }, | |
| { | |
| "epoch": 93.0, | |
| "learning_rate": 4.7368421052631574e-07, | |
| "loss": 0.6714, | |
| "step": 186 | |
| }, | |
| { | |
| "epoch": 93.5, | |
| "learning_rate": 4.6491228070175437e-07, | |
| "loss": 0.6893, | |
| "step": 187 | |
| }, | |
| { | |
| "epoch": 94.0, | |
| "learning_rate": 4.5614035087719294e-07, | |
| "loss": 0.648, | |
| "step": 188 | |
| }, | |
| { | |
| "epoch": 94.5, | |
| "learning_rate": 4.4736842105263156e-07, | |
| "loss": 0.6745, | |
| "step": 189 | |
| }, | |
| { | |
| "epoch": 95.0, | |
| "learning_rate": 4.3859649122807013e-07, | |
| "loss": 0.6581, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 95.0, | |
| "eval_accuracy_dropoff": 0.5942200509185991, | |
| "eval_accuracy_undropoff": 0.8899351925466951, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.3249399847986575, | |
| "eval_iou_undropoff": 0.8759081395906847, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.6444216370582581, | |
| "eval_mean_accuracy": 0.742077621732647, | |
| "eval_mean_iou": 0.4002827081297807, | |
| "eval_overall_accuracy": 0.8776395797729493, | |
| "eval_runtime": 2.4463, | |
| "eval_samples_per_second": 8.176, | |
| "eval_steps_per_second": 0.818, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 95.5, | |
| "learning_rate": 4.2982456140350876e-07, | |
| "loss": 0.6779, | |
| "step": 191 | |
| }, | |
| { | |
| "epoch": 96.0, | |
| "learning_rate": 4.2105263157894733e-07, | |
| "loss": 0.6504, | |
| "step": 192 | |
| }, | |
| { | |
| "epoch": 96.5, | |
| "learning_rate": 4.1228070175438595e-07, | |
| "loss": 0.6653, | |
| "step": 193 | |
| }, | |
| { | |
| "epoch": 97.0, | |
| "learning_rate": 4.035087719298245e-07, | |
| "loss": 0.6627, | |
| "step": 194 | |
| }, | |
| { | |
| "epoch": 97.5, | |
| "learning_rate": 3.9473684210526315e-07, | |
| "loss": 0.6524, | |
| "step": 195 | |
| }, | |
| { | |
| "epoch": 98.0, | |
| "learning_rate": 3.859649122807017e-07, | |
| "loss": 0.6682, | |
| "step": 196 | |
| }, | |
| { | |
| "epoch": 98.5, | |
| "learning_rate": 3.7719298245614034e-07, | |
| "loss": 0.6396, | |
| "step": 197 | |
| }, | |
| { | |
| "epoch": 99.0, | |
| "learning_rate": 3.684210526315789e-07, | |
| "loss": 0.6903, | |
| "step": 198 | |
| }, | |
| { | |
| "epoch": 99.5, | |
| "learning_rate": 3.5964912280701754e-07, | |
| "loss": 0.6529, | |
| "step": 199 | |
| }, | |
| { | |
| "epoch": 100.0, | |
| "learning_rate": 3.508771929824561e-07, | |
| "loss": 0.6587, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 100.0, | |
| "eval_accuracy_dropoff": 0.5913759489896557, | |
| "eval_accuracy_undropoff": 0.8939941909118319, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.32814914180842586, | |
| "eval_iou_undropoff": 0.879741009921869, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.638337254524231, | |
| "eval_mean_accuracy": 0.7426850699507438, | |
| "eval_mean_iou": 0.402630050576765, | |
| "eval_overall_accuracy": 0.8814115524291992, | |
| "eval_runtime": 2.3566, | |
| "eval_samples_per_second": 8.487, | |
| "eval_steps_per_second": 0.849, | |
| "step": 200 | |
| } | |
| ], | |
| "max_steps": 240, | |
| "num_train_epochs": 120, | |
| "total_flos": 1.1575998499258368e+18, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |