| { | |
| "best_metric": 0.45899271965026855, | |
| "best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/dropoff-utcustom-train-SF-RGBD-b5_6/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": 1.6666666666666667e-06, | |
| "loss": 1.2935, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 3.3333333333333333e-06, | |
| "loss": 1.3048, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "learning_rate": 5e-06, | |
| "loss": 1.2961, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 6.666666666666667e-06, | |
| "loss": 1.2755, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "learning_rate": 8.333333333333334e-06, | |
| "loss": 1.2586, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "learning_rate": 1e-05, | |
| "loss": 1.246, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 3.5, | |
| "learning_rate": 1.1666666666666668e-05, | |
| "loss": 1.2275, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "learning_rate": 1.3333333333333333e-05, | |
| "loss": 1.2057, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 4.5, | |
| "learning_rate": 1.5000000000000002e-05, | |
| "loss": 1.1914, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 1.6666666666666667e-05, | |
| "loss": 1.159, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy_dropoff": 0.5030895204018441, | |
| "eval_accuracy_undropoff": 0.6320608332329993, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.06443018550460354, | |
| "eval_iou_undropoff": 0.6203390578678918, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 1.003960132598877, | |
| "eval_mean_accuracy": 0.5675751768174218, | |
| "eval_mean_iou": 0.22825641445749845, | |
| "eval_overall_accuracy": 0.6266983032226563, | |
| "eval_runtime": 2.8797, | |
| "eval_samples_per_second": 6.945, | |
| "eval_steps_per_second": 0.695, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 5.5, | |
| "learning_rate": 1.8333333333333333e-05, | |
| "loss": 1.138, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "learning_rate": 2e-05, | |
| "loss": 1.1, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 6.5, | |
| "learning_rate": 1.9912280701754387e-05, | |
| "loss": 1.0765, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "learning_rate": 1.9824561403508773e-05, | |
| "loss": 1.0466, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 7.5, | |
| "learning_rate": 1.9736842105263158e-05, | |
| "loss": 1.0032, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "learning_rate": 1.9649122807017544e-05, | |
| "loss": 0.9971, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 8.5, | |
| "learning_rate": 1.9561403508771933e-05, | |
| "loss": 0.9459, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "learning_rate": 1.9473684210526318e-05, | |
| "loss": 0.9112, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 9.5, | |
| "learning_rate": 1.9385964912280704e-05, | |
| "loss": 0.8852, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "learning_rate": 1.929824561403509e-05, | |
| "loss": 0.8345, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy_dropoff": 0.11338333448014863, | |
| "eval_accuracy_undropoff": 0.9505815555977898, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.05546940396815957, | |
| "eval_iou_undropoff": 0.9154202339604258, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.747998058795929, | |
| "eval_mean_accuracy": 0.5319824450389692, | |
| "eval_mean_iou": 0.32362987930952847, | |
| "eval_overall_accuracy": 0.915771484375, | |
| "eval_runtime": 2.8511, | |
| "eval_samples_per_second": 7.015, | |
| "eval_steps_per_second": 0.701, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 10.5, | |
| "learning_rate": 1.9210526315789474e-05, | |
| "loss": 0.8052, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "learning_rate": 1.912280701754386e-05, | |
| "loss": 0.7648, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 11.5, | |
| "learning_rate": 1.9035087719298245e-05, | |
| "loss": 0.7405, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "learning_rate": 1.894736842105263e-05, | |
| "loss": 0.7066, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 12.5, | |
| "learning_rate": 1.885964912280702e-05, | |
| "loss": 0.6675, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "learning_rate": 1.8771929824561405e-05, | |
| "loss": 0.6358, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 13.5, | |
| "learning_rate": 1.868421052631579e-05, | |
| "loss": 0.6127, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "learning_rate": 1.8596491228070176e-05, | |
| "loss": 0.5935, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 14.5, | |
| "learning_rate": 1.8508771929824562e-05, | |
| "loss": 0.5549, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "learning_rate": 1.8421052631578947e-05, | |
| "loss": 0.5406, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_accuracy_dropoff": 0.017945365719397234, | |
| "eval_accuracy_undropoff": 0.9917655826949273, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.015735932390196418, | |
| "eval_iou_undropoff": 0.9512822485309885, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.5476881265640259, | |
| "eval_mean_accuracy": 0.5048554742071623, | |
| "eval_mean_iou": 0.322339393640395, | |
| "eval_overall_accuracy": 0.9512748718261719, | |
| "eval_runtime": 5.6484, | |
| "eval_samples_per_second": 3.541, | |
| "eval_steps_per_second": 0.354, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 15.5, | |
| "learning_rate": 1.8333333333333333e-05, | |
| "loss": 0.53, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "learning_rate": 1.824561403508772e-05, | |
| "loss": 0.5004, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 16.5, | |
| "learning_rate": 1.8157894736842107e-05, | |
| "loss": 0.4965, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "learning_rate": 1.8070175438596493e-05, | |
| "loss": 0.4653, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 17.5, | |
| "learning_rate": 1.7982456140350878e-05, | |
| "loss": 0.4434, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "learning_rate": 1.7894736842105264e-05, | |
| "loss": 0.4414, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 18.5, | |
| "learning_rate": 1.780701754385965e-05, | |
| "loss": 0.3915, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "learning_rate": 1.7719298245614035e-05, | |
| "loss": 0.4001, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 19.5, | |
| "learning_rate": 1.763157894736842e-05, | |
| "loss": 0.4204, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "learning_rate": 1.754385964912281e-05, | |
| "loss": 0.3695, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy_dropoff": 0.014605839583476686, | |
| "eval_accuracy_undropoff": 0.9925813227566402, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.012491320023381993, | |
| "eval_iou_undropoff": 0.951889892701647, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.45899271965026855, | |
| "eval_mean_accuracy": 0.5035935811700585, | |
| "eval_mean_iou": 0.3214604042416764, | |
| "eval_overall_accuracy": 0.9519178390502929, | |
| "eval_runtime": 3.3683, | |
| "eval_samples_per_second": 5.938, | |
| "eval_steps_per_second": 0.594, | |
| "step": 40 | |
| } | |
| ], | |
| "max_steps": 240, | |
| "num_train_epochs": 120, | |
| "total_flos": 4.630914352860365e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |