| { | |
| "best_metric": 0.31272849440574646, | |
| "best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/dropoff-utcustom-train-SF-RGBD-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": 1.2301, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 1.5e-06, | |
| "loss": 1.2312, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "learning_rate": 2.25e-06, | |
| "loss": 1.2262, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 3e-06, | |
| "loss": 1.2197, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "learning_rate": 3.75e-06, | |
| "loss": 1.2077, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "learning_rate": 4.5e-06, | |
| "loss": 1.1967, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 3.5, | |
| "learning_rate": 5.2500000000000006e-06, | |
| "loss": 1.1848, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "learning_rate": 6e-06, | |
| "loss": 1.1668, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 4.5, | |
| "learning_rate": 6.75e-06, | |
| "loss": 1.1606, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 7.5e-06, | |
| "loss": 1.1487, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy_dropoff": 0.5729856189362141, | |
| "eval_accuracy_undropoff": 0.6823051671829305, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.09713754230539519, | |
| "eval_iou_undropoff": 0.671356002033353, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 1.0250014066696167, | |
| "eval_mean_accuracy": 0.6276453930595723, | |
| "eval_mean_iou": 0.25616451477958274, | |
| "eval_overall_accuracy": 0.6777597427368164, | |
| "eval_runtime": 2.8634, | |
| "eval_samples_per_second": 6.985, | |
| "eval_steps_per_second": 0.698, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 5.5, | |
| "learning_rate": 8.25e-06, | |
| "loss": 1.1397, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "learning_rate": 9e-06, | |
| "loss": 1.1186, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 6.5, | |
| "learning_rate": 8.960526315789474e-06, | |
| "loss": 1.1081, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "learning_rate": 8.921052631578947e-06, | |
| "loss": 1.0962, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 7.5, | |
| "learning_rate": 8.881578947368421e-06, | |
| "loss": 1.0719, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "learning_rate": 8.842105263157895e-06, | |
| "loss": 1.0773, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 8.5, | |
| "learning_rate": 8.80263157894737e-06, | |
| "loss": 1.0485, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "learning_rate": 8.763157894736842e-06, | |
| "loss": 1.0373, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 9.5, | |
| "learning_rate": 8.723684210526316e-06, | |
| "loss": 1.0212, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "learning_rate": 8.68421052631579e-06, | |
| "loss": 1.0128, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy_dropoff": 0.5053189293332416, | |
| "eval_accuracy_undropoff": 0.8407032200736932, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.11952306654022513, | |
| "eval_iou_undropoff": 0.8230702761890567, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.9030143022537231, | |
| "eval_mean_accuracy": 0.6730110747034674, | |
| "eval_mean_iou": 0.31419778090976064, | |
| "eval_overall_accuracy": 0.8267581939697266, | |
| "eval_runtime": 2.9046, | |
| "eval_samples_per_second": 6.886, | |
| "eval_steps_per_second": 0.689, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 10.5, | |
| "learning_rate": 8.644736842105263e-06, | |
| "loss": 0.9768, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "learning_rate": 8.605263157894737e-06, | |
| "loss": 0.992, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 11.5, | |
| "learning_rate": 8.56578947368421e-06, | |
| "loss": 0.9632, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "learning_rate": 8.526315789473683e-06, | |
| "loss": 0.9467, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 12.5, | |
| "learning_rate": 8.486842105263159e-06, | |
| "loss": 0.9267, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "learning_rate": 8.447368421052632e-06, | |
| "loss": 0.9105, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 13.5, | |
| "learning_rate": 8.407894736842106e-06, | |
| "loss": 0.8971, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "learning_rate": 8.36842105263158e-06, | |
| "loss": 0.8905, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 14.5, | |
| "learning_rate": 8.328947368421052e-06, | |
| "loss": 0.8751, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "learning_rate": 8.289473684210526e-06, | |
| "loss": 0.8561, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_accuracy_dropoff": 0.4692355329250671, | |
| "eval_accuracy_undropoff": 0.9133466736054656, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.1631859638151545, | |
| "eval_iou_undropoff": 0.8928195277656624, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.7358734607696533, | |
| "eval_mean_accuracy": 0.6912911032652663, | |
| "eval_mean_iou": 0.35200183052693895, | |
| "eval_overall_accuracy": 0.8948808670043945, | |
| "eval_runtime": 9.5774, | |
| "eval_samples_per_second": 2.088, | |
| "eval_steps_per_second": 0.209, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 15.5, | |
| "learning_rate": 8.25e-06, | |
| "loss": 0.8539, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "learning_rate": 8.210526315789473e-06, | |
| "loss": 0.8166, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 16.5, | |
| "learning_rate": 8.171052631578947e-06, | |
| "loss": 0.8398, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "learning_rate": 8.131578947368421e-06, | |
| "loss": 0.7988, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 17.5, | |
| "learning_rate": 8.092105263157896e-06, | |
| "loss": 0.7788, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "learning_rate": 8.052631578947368e-06, | |
| "loss": 0.7842, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 18.5, | |
| "learning_rate": 8.013157894736842e-06, | |
| "loss": 0.7554, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "learning_rate": 7.973684210526316e-06, | |
| "loss": 0.746, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 19.5, | |
| "learning_rate": 7.934210526315789e-06, | |
| "loss": 0.7234, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "learning_rate": 7.894736842105263e-06, | |
| "loss": 0.7551, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy_dropoff": 0.47188696988463036, | |
| "eval_accuracy_undropoff": 0.9279577542570626, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.18289512986089382, | |
| "eval_iou_undropoff": 0.9072130629563177, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.6533988118171692, | |
| "eval_mean_accuracy": 0.6999223620708465, | |
| "eval_mean_iou": 0.3633693976057371, | |
| "eval_overall_accuracy": 0.9089946746826172, | |
| "eval_runtime": 3.4912, | |
| "eval_samples_per_second": 5.729, | |
| "eval_steps_per_second": 0.573, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 20.5, | |
| "learning_rate": 7.855263157894737e-06, | |
| "loss": 0.6963, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 21.0, | |
| "learning_rate": 7.815789473684211e-06, | |
| "loss": 0.6967, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 21.5, | |
| "learning_rate": 7.776315789473685e-06, | |
| "loss": 0.6664, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 22.0, | |
| "learning_rate": 7.736842105263158e-06, | |
| "loss": 0.6761, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 22.5, | |
| "learning_rate": 7.697368421052632e-06, | |
| "loss": 0.6465, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 23.0, | |
| "learning_rate": 7.657894736842106e-06, | |
| "loss": 0.6876, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 23.5, | |
| "learning_rate": 7.618421052631579e-06, | |
| "loss": 0.6282, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "learning_rate": 7.578947368421053e-06, | |
| "loss": 0.6247, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 24.5, | |
| "learning_rate": 7.539473684210527e-06, | |
| "loss": 0.6037, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "learning_rate": 7.5e-06, | |
| "loss": 0.6236, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "eval_accuracy_dropoff": 0.4614004908369458, | |
| "eval_accuracy_undropoff": 0.9387625786460785, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.19552168013778248, | |
| "eval_iou_undropoff": 0.9173372880255048, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.5938196778297424, | |
| "eval_mean_accuracy": 0.7000815347415121, | |
| "eval_mean_iou": 0.3709529893877625, | |
| "eval_overall_accuracy": 0.9189142227172852, | |
| "eval_runtime": 2.999, | |
| "eval_samples_per_second": 6.669, | |
| "eval_steps_per_second": 0.667, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 25.5, | |
| "learning_rate": 7.460526315789474e-06, | |
| "loss": 0.5851, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 26.0, | |
| "learning_rate": 7.421052631578948e-06, | |
| "loss": 0.5998, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 26.5, | |
| "learning_rate": 7.381578947368421e-06, | |
| "loss": 0.5867, | |
| "step": 53 | |
| }, | |
| { | |
| "epoch": 27.0, | |
| "learning_rate": 7.342105263157895e-06, | |
| "loss": 0.5478, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 27.5, | |
| "learning_rate": 7.302631578947368e-06, | |
| "loss": 0.5257, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 28.0, | |
| "learning_rate": 7.263157894736842e-06, | |
| "loss": 0.5565, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 28.5, | |
| "learning_rate": 7.223684210526317e-06, | |
| "loss": 0.5253, | |
| "step": 57 | |
| }, | |
| { | |
| "epoch": 29.0, | |
| "learning_rate": 7.18421052631579e-06, | |
| "loss": 0.5249, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 29.5, | |
| "learning_rate": 7.144736842105263e-06, | |
| "loss": 0.5155, | |
| "step": 59 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "learning_rate": 7.1052631578947375e-06, | |
| "loss": 0.4977, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "eval_accuracy_dropoff": 0.44204683593660404, | |
| "eval_accuracy_undropoff": 0.9554527118531071, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.22222683445987237, | |
| "eval_iou_undropoff": 0.9328776694924146, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.5293418169021606, | |
| "eval_mean_accuracy": 0.6987497738948556, | |
| "eval_mean_iou": 0.3850348346507623, | |
| "eval_overall_accuracy": 0.9341056823730469, | |
| "eval_runtime": 2.9259, | |
| "eval_samples_per_second": 6.836, | |
| "eval_steps_per_second": 0.684, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 30.5, | |
| "learning_rate": 7.065789473684211e-06, | |
| "loss": 0.486, | |
| "step": 61 | |
| }, | |
| { | |
| "epoch": 31.0, | |
| "learning_rate": 7.026315789473684e-06, | |
| "loss": 0.4739, | |
| "step": 62 | |
| }, | |
| { | |
| "epoch": 31.5, | |
| "learning_rate": 6.986842105263158e-06, | |
| "loss": 0.465, | |
| "step": 63 | |
| }, | |
| { | |
| "epoch": 32.0, | |
| "learning_rate": 6.9473684210526315e-06, | |
| "loss": 0.4841, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 32.5, | |
| "learning_rate": 6.907894736842106e-06, | |
| "loss": 0.4661, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 33.0, | |
| "learning_rate": 6.86842105263158e-06, | |
| "loss": 0.457, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 33.5, | |
| "learning_rate": 6.828947368421053e-06, | |
| "loss": 0.4309, | |
| "step": 67 | |
| }, | |
| { | |
| "epoch": 34.0, | |
| "learning_rate": 6.7894736842105264e-06, | |
| "loss": 0.4359, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 34.5, | |
| "learning_rate": 6.75e-06, | |
| "loss": 0.414, | |
| "step": 69 | |
| }, | |
| { | |
| "epoch": 35.0, | |
| "learning_rate": 6.710526315789474e-06, | |
| "loss": 0.4188, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 35.0, | |
| "eval_accuracy_dropoff": 0.42312897084795525, | |
| "eval_accuracy_undropoff": 0.9650274583398426, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.23898106598406102, | |
| "eval_iou_undropoff": 0.9414664632743484, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.48594316840171814, | |
| "eval_mean_accuracy": 0.694078214593899, | |
| "eval_mean_iou": 0.39348250975280313, | |
| "eval_overall_accuracy": 0.9424957275390625, | |
| "eval_runtime": 3.0215, | |
| "eval_samples_per_second": 6.619, | |
| "eval_steps_per_second": 0.662, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 35.5, | |
| "learning_rate": 6.671052631578947e-06, | |
| "loss": 0.397, | |
| "step": 71 | |
| }, | |
| { | |
| "epoch": 36.0, | |
| "learning_rate": 6.6315789473684205e-06, | |
| "loss": 0.4114, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 36.5, | |
| "learning_rate": 6.592105263157895e-06, | |
| "loss": 0.4052, | |
| "step": 73 | |
| }, | |
| { | |
| "epoch": 37.0, | |
| "learning_rate": 6.552631578947369e-06, | |
| "loss": 0.404, | |
| "step": 74 | |
| }, | |
| { | |
| "epoch": 37.5, | |
| "learning_rate": 6.513157894736842e-06, | |
| "loss": 0.3704, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 38.0, | |
| "learning_rate": 6.473684210526316e-06, | |
| "loss": 0.4008, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 38.5, | |
| "learning_rate": 6.4342105263157896e-06, | |
| "loss": 0.3855, | |
| "step": 77 | |
| }, | |
| { | |
| "epoch": 39.0, | |
| "learning_rate": 6.394736842105263e-06, | |
| "loss": 0.3719, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 39.5, | |
| "learning_rate": 6.355263157894737e-06, | |
| "loss": 0.3637, | |
| "step": 79 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "learning_rate": 6.31578947368421e-06, | |
| "loss": 0.3532, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "eval_accuracy_dropoff": 0.38814651712195236, | |
| "eval_accuracy_undropoff": 0.9763837381353007, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.25466661048474964, | |
| "eval_iou_undropoff": 0.9511414746114953, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.42775267362594604, | |
| "eval_mean_accuracy": 0.6822651276286265, | |
| "eval_mean_iou": 0.401936028365415, | |
| "eval_overall_accuracy": 0.9519252777099609, | |
| "eval_runtime": 2.9058, | |
| "eval_samples_per_second": 6.883, | |
| "eval_steps_per_second": 0.688, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 40.5, | |
| "learning_rate": 6.276315789473684e-06, | |
| "loss": 0.343, | |
| "step": 81 | |
| }, | |
| { | |
| "epoch": 41.0, | |
| "learning_rate": 6.236842105263159e-06, | |
| "loss": 0.3551, | |
| "step": 82 | |
| }, | |
| { | |
| "epoch": 41.5, | |
| "learning_rate": 6.197368421052632e-06, | |
| "loss": 0.3465, | |
| "step": 83 | |
| }, | |
| { | |
| "epoch": 42.0, | |
| "learning_rate": 6.157894736842105e-06, | |
| "loss": 0.3327, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 42.5, | |
| "learning_rate": 6.118421052631579e-06, | |
| "loss": 0.3481, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 43.0, | |
| "learning_rate": 6.078947368421053e-06, | |
| "loss": 0.3134, | |
| "step": 86 | |
| }, | |
| { | |
| "epoch": 43.5, | |
| "learning_rate": 6.039473684210526e-06, | |
| "loss": 0.3053, | |
| "step": 87 | |
| }, | |
| { | |
| "epoch": 44.0, | |
| "learning_rate": 6e-06, | |
| "loss": 0.32, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 44.5, | |
| "learning_rate": 5.9605263157894735e-06, | |
| "loss": 0.3236, | |
| "step": 89 | |
| }, | |
| { | |
| "epoch": 45.0, | |
| "learning_rate": 5.921052631578948e-06, | |
| "loss": 0.3187, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 45.0, | |
| "eval_accuracy_dropoff": 0.39418794009036906, | |
| "eval_accuracy_undropoff": 0.9803864168035686, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.2742061579993682, | |
| "eval_iou_undropoff": 0.9552955051752383, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.3913882076740265, | |
| "eval_mean_accuracy": 0.6872871784469688, | |
| "eval_mean_iou": 0.40983388772486884, | |
| "eval_overall_accuracy": 0.9560127258300781, | |
| "eval_runtime": 3.0009, | |
| "eval_samples_per_second": 6.665, | |
| "eval_steps_per_second": 0.666, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 45.5, | |
| "learning_rate": 5.881578947368422e-06, | |
| "loss": 0.3086, | |
| "step": 91 | |
| }, | |
| { | |
| "epoch": 46.0, | |
| "learning_rate": 5.842105263157895e-06, | |
| "loss": 0.2949, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 46.5, | |
| "learning_rate": 5.802631578947368e-06, | |
| "loss": 0.3289, | |
| "step": 93 | |
| }, | |
| { | |
| "epoch": 47.0, | |
| "learning_rate": 5.7631578947368425e-06, | |
| "loss": 0.2915, | |
| "step": 94 | |
| }, | |
| { | |
| "epoch": 47.5, | |
| "learning_rate": 5.723684210526316e-06, | |
| "loss": 0.29, | |
| "step": 95 | |
| }, | |
| { | |
| "epoch": 48.0, | |
| "learning_rate": 5.684210526315789e-06, | |
| "loss": 0.3007, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 48.5, | |
| "learning_rate": 5.644736842105263e-06, | |
| "loss": 0.3019, | |
| "step": 97 | |
| }, | |
| { | |
| "epoch": 49.0, | |
| "learning_rate": 5.6052631578947374e-06, | |
| "loss": 0.2885, | |
| "step": 98 | |
| }, | |
| { | |
| "epoch": 49.5, | |
| "learning_rate": 5.565789473684211e-06, | |
| "loss": 0.2814, | |
| "step": 99 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "learning_rate": 5.526315789473685e-06, | |
| "loss": 0.2631, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "eval_accuracy_dropoff": 0.4020138076561389, | |
| "eval_accuracy_undropoff": 0.9815484334467356, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.28354789968712896, | |
| "eval_iou_undropoff": 0.9567292612427862, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.3646724224090576, | |
| "eval_mean_accuracy": 0.6917811205514373, | |
| "eval_mean_iou": 0.41342572030997177, | |
| "eval_overall_accuracy": 0.9574518203735352, | |
| "eval_runtime": 2.934, | |
| "eval_samples_per_second": 6.817, | |
| "eval_steps_per_second": 0.682, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 50.5, | |
| "learning_rate": 5.486842105263158e-06, | |
| "loss": 0.2683, | |
| "step": 101 | |
| }, | |
| { | |
| "epoch": 51.0, | |
| "learning_rate": 5.4473684210526315e-06, | |
| "loss": 0.2636, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 51.5, | |
| "learning_rate": 5.407894736842106e-06, | |
| "loss": 0.2767, | |
| "step": 103 | |
| }, | |
| { | |
| "epoch": 52.0, | |
| "learning_rate": 5.368421052631579e-06, | |
| "loss": 0.2579, | |
| "step": 104 | |
| }, | |
| { | |
| "epoch": 52.5, | |
| "learning_rate": 5.328947368421052e-06, | |
| "loss": 0.2612, | |
| "step": 105 | |
| }, | |
| { | |
| "epoch": 53.0, | |
| "learning_rate": 5.289473684210527e-06, | |
| "loss": 0.2473, | |
| "step": 106 | |
| }, | |
| { | |
| "epoch": 53.5, | |
| "learning_rate": 5.2500000000000006e-06, | |
| "loss": 0.2459, | |
| "step": 107 | |
| }, | |
| { | |
| "epoch": 54.0, | |
| "learning_rate": 5.210526315789474e-06, | |
| "loss": 0.2658, | |
| "step": 108 | |
| }, | |
| { | |
| "epoch": 54.5, | |
| "learning_rate": 5.171052631578947e-06, | |
| "loss": 0.2496, | |
| "step": 109 | |
| }, | |
| { | |
| "epoch": 55.0, | |
| "learning_rate": 5.131578947368421e-06, | |
| "loss": 0.2565, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 55.0, | |
| "eval_accuracy_dropoff": 0.3962109222688594, | |
| "eval_accuracy_undropoff": 0.9828545329893122, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.2845630508195371, | |
| "eval_iou_undropoff": 0.957769917133554, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.34244000911712646, | |
| "eval_mean_accuracy": 0.6895327276290858, | |
| "eval_mean_iou": 0.414110989317697, | |
| "eval_overall_accuracy": 0.9584623336791992, | |
| "eval_runtime": 2.879, | |
| "eval_samples_per_second": 6.947, | |
| "eval_steps_per_second": 0.695, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 55.5, | |
| "learning_rate": 5.092105263157895e-06, | |
| "loss": 0.2835, | |
| "step": 111 | |
| }, | |
| { | |
| "epoch": 56.0, | |
| "learning_rate": 5.052631578947368e-06, | |
| "loss": 0.2464, | |
| "step": 112 | |
| }, | |
| { | |
| "epoch": 56.5, | |
| "learning_rate": 5.013157894736842e-06, | |
| "loss": 0.24, | |
| "step": 113 | |
| }, | |
| { | |
| "epoch": 57.0, | |
| "learning_rate": 4.973684210526316e-06, | |
| "loss": 0.2329, | |
| "step": 114 | |
| }, | |
| { | |
| "epoch": 57.5, | |
| "learning_rate": 4.9342105263157895e-06, | |
| "loss": 0.2399, | |
| "step": 115 | |
| }, | |
| { | |
| "epoch": 58.0, | |
| "learning_rate": 4.894736842105264e-06, | |
| "loss": 0.2468, | |
| "step": 116 | |
| }, | |
| { | |
| "epoch": 58.5, | |
| "learning_rate": 4.855263157894737e-06, | |
| "loss": 0.2338, | |
| "step": 117 | |
| }, | |
| { | |
| "epoch": 59.0, | |
| "learning_rate": 4.81578947368421e-06, | |
| "loss": 0.228, | |
| "step": 118 | |
| }, | |
| { | |
| "epoch": 59.5, | |
| "learning_rate": 4.7763157894736844e-06, | |
| "loss": 0.2336, | |
| "step": 119 | |
| }, | |
| { | |
| "epoch": 60.0, | |
| "learning_rate": 4.736842105263158e-06, | |
| "loss": 0.2259, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 60.0, | |
| "eval_accuracy_dropoff": 0.3842794559508246, | |
| "eval_accuracy_undropoff": 0.9863174978133828, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.2925986727209221, | |
| "eval_iou_undropoff": 0.9606573233147998, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.31272849440574646, | |
| "eval_mean_accuracy": 0.6852984768821038, | |
| "eval_mean_iou": 0.417751998678574, | |
| "eval_overall_accuracy": 0.9612852096557617, | |
| "eval_runtime": 14.3976, | |
| "eval_samples_per_second": 1.389, | |
| "eval_steps_per_second": 0.139, | |
| "step": 120 | |
| } | |
| ], | |
| "max_steps": 240, | |
| "num_train_epochs": 120, | |
| "total_flos": 1.3892743058581094e+18, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |