| { | |
| "best_metric": 0.6076321601867676, | |
| "best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/dropoff-utcustom-train-SF-RGB-b5_4/checkpoint-40", | |
| "epoch": 20.0, | |
| "global_step": 40, | |
| "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 | |
| } | |
| ], | |
| "max_steps": 240, | |
| "num_train_epochs": 120, | |
| "total_flos": 2.3151996998516736e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |