| { | |
| "best_metric": 0.25913122296333313, | |
| "best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/dropoff-utcustom-train-SF-RGB-b5_5/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": 7.5e-07, | |
| "loss": 1.1306, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 1.5e-06, | |
| "loss": 1.1189, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "learning_rate": 2.25e-06, | |
| "loss": 1.1168, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 3e-06, | |
| "loss": 1.1199, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "learning_rate": 3.75e-06, | |
| "loss": 1.1175, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "learning_rate": 4.5e-06, | |
| "loss": 1.1046, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 3.5, | |
| "learning_rate": 5.2500000000000006e-06, | |
| "loss": 1.0996, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "learning_rate": 6e-06, | |
| "loss": 1.0903, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 4.5, | |
| "learning_rate": 6.75e-06, | |
| "loss": 1.0751, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 7.5e-06, | |
| "loss": 1.0685, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy_dropoff": 0.12556710016284778, | |
| "eval_accuracy_undropoff": 0.6194458181630027, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.04967425823428001, | |
| "eval_iou_undropoff": 0.6069927004338553, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 1.0222245454788208, | |
| "eval_mean_accuracy": 0.37250645916292524, | |
| "eval_mean_iou": 0.21888898622271177, | |
| "eval_overall_accuracy": 0.5989107131958008, | |
| "eval_runtime": 2.0623, | |
| "eval_samples_per_second": 9.698, | |
| "eval_steps_per_second": 0.97, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 5.5, | |
| "learning_rate": 8.25e-06, | |
| "loss": 1.0536, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "learning_rate": 9e-06, | |
| "loss": 1.0449, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 6.5, | |
| "learning_rate": 8.960526315789474e-06, | |
| "loss": 1.0298, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "learning_rate": 8.921052631578947e-06, | |
| "loss": 1.0194, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 7.5, | |
| "learning_rate": 8.881578947368421e-06, | |
| "loss": 1.0003, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "learning_rate": 8.842105263157895e-06, | |
| "loss": 0.9971, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 8.5, | |
| "learning_rate": 8.80263157894737e-06, | |
| "loss": 0.9839, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "learning_rate": 8.763157894736842e-06, | |
| "loss": 0.9637, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 9.5, | |
| "learning_rate": 8.723684210526316e-06, | |
| "loss": 0.9503, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "learning_rate": 8.68421052631579e-06, | |
| "loss": 0.9481, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy_dropoff": 0.41593614532443407, | |
| "eval_accuracy_undropoff": 0.8637103137683748, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.26333490163277395, | |
| "eval_iou_undropoff": 0.8475766394676805, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.8418876528739929, | |
| "eval_mean_accuracy": 0.6398232295464045, | |
| "eval_mean_iou": 0.3703038470334848, | |
| "eval_overall_accuracy": 0.8450922012329102, | |
| "eval_runtime": 2.1115, | |
| "eval_samples_per_second": 9.472, | |
| "eval_steps_per_second": 0.947, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 10.5, | |
| "learning_rate": 8.644736842105263e-06, | |
| "loss": 0.9183, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "learning_rate": 8.605263157894737e-06, | |
| "loss": 0.9305, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 11.5, | |
| "learning_rate": 8.56578947368421e-06, | |
| "loss": 0.9155, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "learning_rate": 8.526315789473683e-06, | |
| "loss": 0.8859, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 12.5, | |
| "learning_rate": 8.486842105263159e-06, | |
| "loss": 0.8853, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "learning_rate": 8.447368421052632e-06, | |
| "loss": 0.8673, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 13.5, | |
| "learning_rate": 8.407894736842106e-06, | |
| "loss": 0.8644, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "learning_rate": 8.36842105263158e-06, | |
| "loss": 0.8401, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 14.5, | |
| "learning_rate": 8.328947368421052e-06, | |
| "loss": 0.836, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "learning_rate": 8.289473684210526e-06, | |
| "loss": 0.8268, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_accuracy_dropoff": 0.5023463840913782, | |
| "eval_accuracy_undropoff": 0.8852725982783686, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.31364905698205614, | |
| "eval_iou_undropoff": 0.8711414077560768, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.7165183424949646, | |
| "eval_mean_accuracy": 0.6938094911848733, | |
| "eval_mean_iou": 0.39493015491271094, | |
| "eval_overall_accuracy": 0.869350814819336, | |
| "eval_runtime": 2.2715, | |
| "eval_samples_per_second": 8.805, | |
| "eval_steps_per_second": 0.88, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 15.5, | |
| "learning_rate": 8.25e-06, | |
| "loss": 0.8126, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "learning_rate": 8.210526315789473e-06, | |
| "loss": 0.8039, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 16.5, | |
| "learning_rate": 8.171052631578947e-06, | |
| "loss": 0.8044, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "learning_rate": 8.131578947368421e-06, | |
| "loss": 0.7729, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 17.5, | |
| "learning_rate": 8.092105263157896e-06, | |
| "loss": 0.7518, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "learning_rate": 8.052631578947368e-06, | |
| "loss": 0.7796, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 18.5, | |
| "learning_rate": 8.013157894736842e-06, | |
| "loss": 0.7496, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "learning_rate": 7.973684210526316e-06, | |
| "loss": 0.7309, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 19.5, | |
| "learning_rate": 7.934210526315789e-06, | |
| "loss": 0.7012, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "learning_rate": 7.894736842105263e-06, | |
| "loss": 0.7573, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy_dropoff": 0.5213972797541228, | |
| "eval_accuracy_undropoff": 0.915831108572634, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.324261253088216, | |
| "eval_iou_undropoff": 0.900986633054498, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.6206496953964233, | |
| "eval_mean_accuracy": 0.7186141941633784, | |
| "eval_mean_iou": 0.40841596204757136, | |
| "eval_overall_accuracy": 0.8994308471679687, | |
| "eval_runtime": 12.3072, | |
| "eval_samples_per_second": 1.625, | |
| "eval_steps_per_second": 0.163, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 20.5, | |
| "learning_rate": 7.855263157894737e-06, | |
| "loss": 0.6878, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 21.0, | |
| "learning_rate": 7.815789473684211e-06, | |
| "loss": 0.6981, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 21.5, | |
| "learning_rate": 7.776315789473685e-06, | |
| "loss": 0.6609, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 22.0, | |
| "learning_rate": 7.736842105263158e-06, | |
| "loss": 0.6934, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 22.5, | |
| "learning_rate": 7.697368421052632e-06, | |
| "loss": 0.638, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 23.0, | |
| "learning_rate": 7.657894736842106e-06, | |
| "loss": 0.6895, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 23.5, | |
| "learning_rate": 7.618421052631579e-06, | |
| "loss": 0.6484, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "learning_rate": 7.578947368421053e-06, | |
| "loss": 0.6193, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 24.5, | |
| "learning_rate": 7.539473684210527e-06, | |
| "loss": 0.6037, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "learning_rate": 7.5e-06, | |
| "loss": 0.636, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "eval_accuracy_dropoff": 0.5020298630702539, | |
| "eval_accuracy_undropoff": 0.9485253891382589, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.34010497757805724, | |
| "eval_iou_undropoff": 0.9315542148635308, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.5194191932678223, | |
| "eval_mean_accuracy": 0.7252776261042564, | |
| "eval_mean_iou": 0.42388639748052936, | |
| "eval_overall_accuracy": 0.9299604415893554, | |
| "eval_runtime": 11.5699, | |
| "eval_samples_per_second": 1.729, | |
| "eval_steps_per_second": 0.173, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 25.5, | |
| "learning_rate": 7.460526315789474e-06, | |
| "loss": 0.5948, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 26.0, | |
| "learning_rate": 7.421052631578948e-06, | |
| "loss": 0.6004, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 26.5, | |
| "learning_rate": 7.381578947368421e-06, | |
| "loss": 0.6018, | |
| "step": 53 | |
| }, | |
| { | |
| "epoch": 27.0, | |
| "learning_rate": 7.342105263157895e-06, | |
| "loss": 0.5598, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 27.5, | |
| "learning_rate": 7.302631578947368e-06, | |
| "loss": 0.5497, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 28.0, | |
| "learning_rate": 7.263157894736842e-06, | |
| "loss": 0.5621, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 28.5, | |
| "learning_rate": 7.223684210526317e-06, | |
| "loss": 0.5271, | |
| "step": 57 | |
| }, | |
| { | |
| "epoch": 29.0, | |
| "learning_rate": 7.18421052631579e-06, | |
| "loss": 0.5719, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 29.5, | |
| "learning_rate": 7.144736842105263e-06, | |
| "loss": 0.5332, | |
| "step": 59 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "learning_rate": 7.1052631578947375e-06, | |
| "loss": 0.5238, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "eval_accuracy_dropoff": 0.5084657904997821, | |
| "eval_accuracy_undropoff": 0.9650592998645741, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.3618276305566981, | |
| "eval_iou_undropoff": 0.9476363475766674, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.4507386088371277, | |
| "eval_mean_accuracy": 0.7367625451821781, | |
| "eval_mean_iou": 0.4364879927111218, | |
| "eval_overall_accuracy": 0.9460744857788086, | |
| "eval_runtime": 2.0875, | |
| "eval_samples_per_second": 9.581, | |
| "eval_steps_per_second": 0.958, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 30.5, | |
| "learning_rate": 7.065789473684211e-06, | |
| "loss": 0.5062, | |
| "step": 61 | |
| }, | |
| { | |
| "epoch": 31.0, | |
| "learning_rate": 7.026315789473684e-06, | |
| "loss": 0.5106, | |
| "step": 62 | |
| }, | |
| { | |
| "epoch": 31.5, | |
| "learning_rate": 6.986842105263158e-06, | |
| "loss": 0.504, | |
| "step": 63 | |
| }, | |
| { | |
| "epoch": 32.0, | |
| "learning_rate": 6.9473684210526315e-06, | |
| "loss": 0.4815, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 32.5, | |
| "learning_rate": 6.907894736842106e-06, | |
| "loss": 0.4846, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 33.0, | |
| "learning_rate": 6.86842105263158e-06, | |
| "loss": 0.4722, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 33.5, | |
| "learning_rate": 6.828947368421053e-06, | |
| "loss": 0.4739, | |
| "step": 67 | |
| }, | |
| { | |
| "epoch": 34.0, | |
| "learning_rate": 6.7894736842105264e-06, | |
| "loss": 0.4559, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 34.5, | |
| "learning_rate": 6.75e-06, | |
| "loss": 0.4591, | |
| "step": 69 | |
| }, | |
| { | |
| "epoch": 35.0, | |
| "learning_rate": 6.710526315789474e-06, | |
| "loss": 0.4296, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 35.0, | |
| "eval_accuracy_dropoff": 0.5123007408426798, | |
| "eval_accuracy_undropoff": 0.972096276830216, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.3682749159931278, | |
| "eval_iou_undropoff": 0.9546251911332915, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.4064384400844574, | |
| "eval_mean_accuracy": 0.742198508836448, | |
| "eval_mean_iou": 0.4409667023754731, | |
| "eval_overall_accuracy": 0.9529783248901367, | |
| "eval_runtime": 2.1231, | |
| "eval_samples_per_second": 9.42, | |
| "eval_steps_per_second": 0.942, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 35.5, | |
| "learning_rate": 6.671052631578947e-06, | |
| "loss": 0.4272, | |
| "step": 71 | |
| }, | |
| { | |
| "epoch": 36.0, | |
| "learning_rate": 6.6315789473684205e-06, | |
| "loss": 0.4376, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 36.5, | |
| "learning_rate": 6.592105263157895e-06, | |
| "loss": 0.4097, | |
| "step": 73 | |
| }, | |
| { | |
| "epoch": 37.0, | |
| "learning_rate": 6.552631578947369e-06, | |
| "loss": 0.4961, | |
| "step": 74 | |
| }, | |
| { | |
| "epoch": 37.5, | |
| "learning_rate": 6.513157894736842e-06, | |
| "loss": 0.4194, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 38.0, | |
| "learning_rate": 6.473684210526316e-06, | |
| "loss": 0.398, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 38.5, | |
| "learning_rate": 6.4342105263157896e-06, | |
| "loss": 0.4193, | |
| "step": 77 | |
| }, | |
| { | |
| "epoch": 39.0, | |
| "learning_rate": 6.394736842105263e-06, | |
| "loss": 0.3805, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 39.5, | |
| "learning_rate": 6.355263157894737e-06, | |
| "loss": 0.3684, | |
| "step": 79 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "learning_rate": 6.31578947368421e-06, | |
| "loss": 0.4105, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "eval_accuracy_dropoff": 0.5119979816050827, | |
| "eval_accuracy_undropoff": 0.9813971862042614, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.3879856642785385, | |
| "eval_iou_undropoff": 0.9627011968835347, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.3546861410140991, | |
| "eval_mean_accuracy": 0.7466975839046721, | |
| "eval_mean_iou": 0.4502289537206911, | |
| "eval_overall_accuracy": 0.9618799209594726, | |
| "eval_runtime": 2.8717, | |
| "eval_samples_per_second": 6.965, | |
| "eval_steps_per_second": 0.696, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 40.5, | |
| "learning_rate": 6.276315789473684e-06, | |
| "loss": 0.3494, | |
| "step": 81 | |
| }, | |
| { | |
| "epoch": 41.0, | |
| "learning_rate": 6.236842105263159e-06, | |
| "loss": 0.3909, | |
| "step": 82 | |
| }, | |
| { | |
| "epoch": 41.5, | |
| "learning_rate": 6.197368421052632e-06, | |
| "loss": 0.3787, | |
| "step": 83 | |
| }, | |
| { | |
| "epoch": 42.0, | |
| "learning_rate": 6.157894736842105e-06, | |
| "loss": 0.3625, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 42.5, | |
| "learning_rate": 6.118421052631579e-06, | |
| "loss": 0.3586, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 43.0, | |
| "learning_rate": 6.078947368421053e-06, | |
| "loss": 0.3607, | |
| "step": 86 | |
| }, | |
| { | |
| "epoch": 43.5, | |
| "learning_rate": 6.039473684210526e-06, | |
| "loss": 0.3254, | |
| "step": 87 | |
| }, | |
| { | |
| "epoch": 44.0, | |
| "learning_rate": 6e-06, | |
| "loss": 0.3652, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 44.5, | |
| "learning_rate": 5.9605263157894735e-06, | |
| "loss": 0.347, | |
| "step": 89 | |
| }, | |
| { | |
| "epoch": 45.0, | |
| "learning_rate": 5.921052631578948e-06, | |
| "loss": 0.3436, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 45.0, | |
| "eval_accuracy_dropoff": 0.5361315626505195, | |
| "eval_accuracy_undropoff": 0.9829765258309394, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.40656917040046753, | |
| "eval_iou_undropoff": 0.9647043198712515, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.33038827776908875, | |
| "eval_mean_accuracy": 0.7595540442407295, | |
| "eval_mean_iou": 0.4570911634239063, | |
| "eval_overall_accuracy": 0.9643970489501953, | |
| "eval_runtime": 2.1187, | |
| "eval_samples_per_second": 9.44, | |
| "eval_steps_per_second": 0.944, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 45.5, | |
| "learning_rate": 5.881578947368422e-06, | |
| "loss": 0.326, | |
| "step": 91 | |
| }, | |
| { | |
| "epoch": 46.0, | |
| "learning_rate": 5.842105263157895e-06, | |
| "loss": 0.3193, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 46.5, | |
| "learning_rate": 5.802631578947368e-06, | |
| "loss": 0.3408, | |
| "step": 93 | |
| }, | |
| { | |
| "epoch": 47.0, | |
| "learning_rate": 5.7631578947368425e-06, | |
| "loss": 0.2914, | |
| "step": 94 | |
| }, | |
| { | |
| "epoch": 47.5, | |
| "learning_rate": 5.723684210526316e-06, | |
| "loss": 0.3105, | |
| "step": 95 | |
| }, | |
| { | |
| "epoch": 48.0, | |
| "learning_rate": 5.684210526315789e-06, | |
| "loss": 0.3058, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 48.5, | |
| "learning_rate": 5.644736842105263e-06, | |
| "loss": 0.2905, | |
| "step": 97 | |
| }, | |
| { | |
| "epoch": 49.0, | |
| "learning_rate": 5.6052631578947374e-06, | |
| "loss": 0.307, | |
| "step": 98 | |
| }, | |
| { | |
| "epoch": 49.5, | |
| "learning_rate": 5.565789473684211e-06, | |
| "loss": 0.3005, | |
| "step": 99 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "learning_rate": 5.526315789473685e-06, | |
| "loss": 0.2729, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "eval_accuracy_dropoff": 0.5231817243514759, | |
| "eval_accuracy_undropoff": 0.9872727435553251, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.41634177326090765, | |
| "eval_iou_undropoff": 0.9677673081732493, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.29534655809402466, | |
| "eval_mean_accuracy": 0.7552272339534005, | |
| "eval_mean_iou": 0.46136969381138565, | |
| "eval_overall_accuracy": 0.967976188659668, | |
| "eval_runtime": 2.1109, | |
| "eval_samples_per_second": 9.475, | |
| "eval_steps_per_second": 0.947, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 50.5, | |
| "learning_rate": 5.486842105263158e-06, | |
| "loss": 0.2812, | |
| "step": 101 | |
| }, | |
| { | |
| "epoch": 51.0, | |
| "learning_rate": 5.4473684210526315e-06, | |
| "loss": 0.2825, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 51.5, | |
| "learning_rate": 5.407894736842106e-06, | |
| "loss": 0.266, | |
| "step": 103 | |
| }, | |
| { | |
| "epoch": 52.0, | |
| "learning_rate": 5.368421052631579e-06, | |
| "loss": 0.294, | |
| "step": 104 | |
| }, | |
| { | |
| "epoch": 52.5, | |
| "learning_rate": 5.328947368421052e-06, | |
| "loss": 0.2774, | |
| "step": 105 | |
| }, | |
| { | |
| "epoch": 53.0, | |
| "learning_rate": 5.289473684210527e-06, | |
| "loss": 0.2546, | |
| "step": 106 | |
| }, | |
| { | |
| "epoch": 53.5, | |
| "learning_rate": 5.2500000000000006e-06, | |
| "loss": 0.26, | |
| "step": 107 | |
| }, | |
| { | |
| "epoch": 54.0, | |
| "learning_rate": 5.210526315789474e-06, | |
| "loss": 0.253, | |
| "step": 108 | |
| }, | |
| { | |
| "epoch": 54.5, | |
| "learning_rate": 5.171052631578947e-06, | |
| "loss": 0.2597, | |
| "step": 109 | |
| }, | |
| { | |
| "epoch": 55.0, | |
| "learning_rate": 5.131578947368421e-06, | |
| "loss": 0.2546, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 55.0, | |
| "eval_accuracy_dropoff": 0.5275900823413381, | |
| "eval_accuracy_undropoff": 0.9882373427451574, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.42014283365906224, | |
| "eval_iou_undropoff": 0.9685616940402523, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.27704566717147827, | |
| "eval_mean_accuracy": 0.7579137125432478, | |
| "eval_mean_iou": 0.46290150923310486, | |
| "eval_overall_accuracy": 0.9690839767456054, | |
| "eval_runtime": 2.0931, | |
| "eval_samples_per_second": 9.555, | |
| "eval_steps_per_second": 0.956, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 55.5, | |
| "learning_rate": 5.092105263157895e-06, | |
| "loss": 0.2616, | |
| "step": 111 | |
| }, | |
| { | |
| "epoch": 56.0, | |
| "learning_rate": 5.052631578947368e-06, | |
| "loss": 0.246, | |
| "step": 112 | |
| }, | |
| { | |
| "epoch": 56.5, | |
| "learning_rate": 5.013157894736842e-06, | |
| "loss": 0.2653, | |
| "step": 113 | |
| }, | |
| { | |
| "epoch": 57.0, | |
| "learning_rate": 4.973684210526316e-06, | |
| "loss": 0.2223, | |
| "step": 114 | |
| }, | |
| { | |
| "epoch": 57.5, | |
| "learning_rate": 4.9342105263157895e-06, | |
| "loss": 0.2316, | |
| "step": 115 | |
| }, | |
| { | |
| "epoch": 58.0, | |
| "learning_rate": 4.894736842105264e-06, | |
| "loss": 0.2684, | |
| "step": 116 | |
| }, | |
| { | |
| "epoch": 58.5, | |
| "learning_rate": 4.855263157894737e-06, | |
| "loss": 0.2447, | |
| "step": 117 | |
| }, | |
| { | |
| "epoch": 59.0, | |
| "learning_rate": 4.81578947368421e-06, | |
| "loss": 0.2209, | |
| "step": 118 | |
| }, | |
| { | |
| "epoch": 59.5, | |
| "learning_rate": 4.7763157894736844e-06, | |
| "loss": 0.2294, | |
| "step": 119 | |
| }, | |
| { | |
| "epoch": 60.0, | |
| "learning_rate": 4.736842105263158e-06, | |
| "loss": 0.2281, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 60.0, | |
| "eval_accuracy_dropoff": 0.5235303562008303, | |
| "eval_accuracy_undropoff": 0.9895947867463634, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.42446118084611806, | |
| "eval_iou_undropoff": 0.9695980338955686, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.25913122296333313, | |
| "eval_mean_accuracy": 0.7565625714735968, | |
| "eval_mean_iou": 0.4646864049138955, | |
| "eval_overall_accuracy": 0.970216178894043, | |
| "eval_runtime": 4.2351, | |
| "eval_samples_per_second": 4.722, | |
| "eval_steps_per_second": 0.472, | |
| "step": 120 | |
| } | |
| ], | |
| "max_steps": 240, | |
| "num_train_epochs": 120, | |
| "total_flos": 6.945599099555021e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |