| { | |
| "best_metric": 0.5707733035087585, | |
| "best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/dropoff-utcustom-train-SF-RGBD-b0_1/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": 1.6666666666666667e-06, | |
| "loss": 1.0746, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 3.3333333333333333e-06, | |
| "loss": 1.0748, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "learning_rate": 5e-06, | |
| "loss": 1.0693, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 6.666666666666667e-06, | |
| "loss": 1.0764, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "learning_rate": 8.333333333333334e-06, | |
| "loss": 1.0684, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "learning_rate": 1e-05, | |
| "loss": 1.0649, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 3.5, | |
| "learning_rate": 1.1666666666666668e-05, | |
| "loss": 1.0601, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "learning_rate": 1.3333333333333333e-05, | |
| "loss": 1.0556, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 4.5, | |
| "learning_rate": 1.5000000000000002e-05, | |
| "loss": 1.0471, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 1.6666666666666667e-05, | |
| "loss": 1.0495, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy_dropoff": 0.20262391339250901, | |
| "eval_accuracy_undropoff": 0.5118628585529819, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.047444479293322045, | |
| "eval_iou_undropoff": 0.5081086334840771, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 1.0889850854873657, | |
| "eval_mean_accuracy": 0.3572433859727454, | |
| "eval_mean_iou": 0.18518437092579973, | |
| "eval_overall_accuracy": 0.4990049362182617, | |
| "eval_runtime": 2.7639, | |
| "eval_samples_per_second": 7.236, | |
| "eval_steps_per_second": 0.724, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 5.5, | |
| "learning_rate": 1.8333333333333333e-05, | |
| "loss": 1.0418, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "learning_rate": 2e-05, | |
| "loss": 1.0375, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 6.5, | |
| "learning_rate": 1.9912280701754387e-05, | |
| "loss": 1.034, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "learning_rate": 1.9824561403508773e-05, | |
| "loss": 1.0282, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 7.5, | |
| "learning_rate": 1.9736842105263158e-05, | |
| "loss": 1.0212, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "learning_rate": 1.9649122807017544e-05, | |
| "loss": 1.0081, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 8.5, | |
| "learning_rate": 1.9561403508771933e-05, | |
| "loss": 1.0061, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "learning_rate": 1.9473684210526318e-05, | |
| "loss": 1.0027, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 9.5, | |
| "learning_rate": 1.9385964912280704e-05, | |
| "loss": 0.9979, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "learning_rate": 1.929824561403509e-05, | |
| "loss": 0.9941, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy_dropoff": 0.8224913415445309, | |
| "eval_accuracy_undropoff": 0.8489730610750296, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.19307967569325465, | |
| "eval_iou_undropoff": 0.8424968366811092, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 1.0478662252426147, | |
| "eval_mean_accuracy": 0.8357322013097802, | |
| "eval_mean_iou": 0.34519217079145464, | |
| "eval_overall_accuracy": 0.847871971130371, | |
| "eval_runtime": 2.9295, | |
| "eval_samples_per_second": 6.827, | |
| "eval_steps_per_second": 0.683, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 10.5, | |
| "learning_rate": 1.9210526315789474e-05, | |
| "loss": 0.9861, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "learning_rate": 1.912280701754386e-05, | |
| "loss": 0.9817, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 11.5, | |
| "learning_rate": 1.9035087719298245e-05, | |
| "loss": 0.9781, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "learning_rate": 1.894736842105263e-05, | |
| "loss": 0.9729, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 12.5, | |
| "learning_rate": 1.885964912280702e-05, | |
| "loss": 0.9669, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "learning_rate": 1.8771929824561405e-05, | |
| "loss": 0.9634, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 13.5, | |
| "learning_rate": 1.868421052631579e-05, | |
| "loss": 0.9642, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "learning_rate": 1.8596491228070176e-05, | |
| "loss": 0.9586, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 14.5, | |
| "learning_rate": 1.8508771929824562e-05, | |
| "loss": 0.9559, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "learning_rate": 1.8421052631578947e-05, | |
| "loss": 0.9448, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_accuracy_dropoff": 0.7351131906695108, | |
| "eval_accuracy_undropoff": 0.9082392930385471, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.23901293122734799, | |
| "eval_iou_undropoff": 0.8979626128799195, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.9838544130325317, | |
| "eval_mean_accuracy": 0.8216762418540289, | |
| "eval_mean_iou": 0.37899184803575586, | |
| "eval_overall_accuracy": 0.9010408401489258, | |
| "eval_runtime": 3.1655, | |
| "eval_samples_per_second": 6.318, | |
| "eval_steps_per_second": 0.632, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 15.5, | |
| "learning_rate": 1.8333333333333333e-05, | |
| "loss": 0.9406, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "learning_rate": 1.824561403508772e-05, | |
| "loss": 0.9378, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 16.5, | |
| "learning_rate": 1.8157894736842107e-05, | |
| "loss": 0.935, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "learning_rate": 1.8070175438596493e-05, | |
| "loss": 0.9249, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 17.5, | |
| "learning_rate": 1.7982456140350878e-05, | |
| "loss": 0.9162, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "learning_rate": 1.7894736842105264e-05, | |
| "loss": 0.9153, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 18.5, | |
| "learning_rate": 1.780701754385965e-05, | |
| "loss": 0.8983, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "learning_rate": 1.7719298245614035e-05, | |
| "loss": 0.918, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 19.5, | |
| "learning_rate": 1.763157894736842e-05, | |
| "loss": 0.9107, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "learning_rate": 1.754385964912281e-05, | |
| "loss": 0.8912, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy_dropoff": 0.4863276680657813, | |
| "eval_accuracy_undropoff": 0.9437063733796893, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.23034404840794775, | |
| "eval_iou_undropoff": 0.9232710241069885, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.9041398763656616, | |
| "eval_mean_accuracy": 0.7150170207227353, | |
| "eval_mean_iou": 0.3845383575049787, | |
| "eval_overall_accuracy": 0.9246889114379883, | |
| "eval_runtime": 2.9597, | |
| "eval_samples_per_second": 6.757, | |
| "eval_steps_per_second": 0.676, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 20.5, | |
| "learning_rate": 1.7456140350877195e-05, | |
| "loss": 0.8927, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 21.0, | |
| "learning_rate": 1.736842105263158e-05, | |
| "loss": 0.8849, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 21.5, | |
| "learning_rate": 1.7280701754385966e-05, | |
| "loss": 0.8909, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 22.0, | |
| "learning_rate": 1.719298245614035e-05, | |
| "loss": 0.8779, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 22.5, | |
| "learning_rate": 1.7105263157894737e-05, | |
| "loss": 0.8723, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 23.0, | |
| "learning_rate": 1.7017543859649125e-05, | |
| "loss": 0.8638, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 23.5, | |
| "learning_rate": 1.692982456140351e-05, | |
| "loss": 0.867, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "learning_rate": 1.6842105263157896e-05, | |
| "loss": 0.8582, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 24.5, | |
| "learning_rate": 1.6754385964912282e-05, | |
| "loss": 0.8498, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "learning_rate": 1.6666666666666667e-05, | |
| "loss": 0.8458, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "eval_accuracy_dropoff": 0.38082983554668687, | |
| "eval_accuracy_undropoff": 0.9565176118458433, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.21875946972192284, | |
| "eval_iou_undropoff": 0.9316126713826287, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.7996953129768372, | |
| "eval_mean_accuracy": 0.6686737236962651, | |
| "eval_mean_iou": 0.38345738036818383, | |
| "eval_overall_accuracy": 0.9325809478759766, | |
| "eval_runtime": 2.9373, | |
| "eval_samples_per_second": 6.809, | |
| "eval_steps_per_second": 0.681, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 25.5, | |
| "learning_rate": 1.6578947368421053e-05, | |
| "loss": 0.8489, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 26.0, | |
| "learning_rate": 1.649122807017544e-05, | |
| "loss": 0.8322, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 26.5, | |
| "learning_rate": 1.6403508771929827e-05, | |
| "loss": 0.8306, | |
| "step": 53 | |
| }, | |
| { | |
| "epoch": 27.0, | |
| "learning_rate": 1.6315789473684213e-05, | |
| "loss": 0.8211, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 27.5, | |
| "learning_rate": 1.62280701754386e-05, | |
| "loss": 0.8128, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 28.0, | |
| "learning_rate": 1.6140350877192984e-05, | |
| "loss": 0.8159, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 28.5, | |
| "learning_rate": 1.605263157894737e-05, | |
| "loss": 0.8077, | |
| "step": 57 | |
| }, | |
| { | |
| "epoch": 29.0, | |
| "learning_rate": 1.5964912280701755e-05, | |
| "loss": 0.8115, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 29.5, | |
| "learning_rate": 1.5877192982456144e-05, | |
| "loss": 0.7824, | |
| "step": 59 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "learning_rate": 1.578947368421053e-05, | |
| "loss": 0.8299, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "eval_accuracy_dropoff": 0.306841900043579, | |
| "eval_accuracy_undropoff": 0.9597373870247777, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.1934366306340696, | |
| "eval_iou_undropoff": 0.9317996330434056, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.7386532425880432, | |
| "eval_mean_accuracy": 0.6332896435341784, | |
| "eval_mean_iou": 0.37507875455915846, | |
| "eval_overall_accuracy": 0.9325904846191406, | |
| "eval_runtime": 3.129, | |
| "eval_samples_per_second": 6.392, | |
| "eval_steps_per_second": 0.639, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 30.5, | |
| "learning_rate": 1.5701754385964915e-05, | |
| "loss": 0.7911, | |
| "step": 61 | |
| }, | |
| { | |
| "epoch": 31.0, | |
| "learning_rate": 1.56140350877193e-05, | |
| "loss": 0.7694, | |
| "step": 62 | |
| }, | |
| { | |
| "epoch": 31.5, | |
| "learning_rate": 1.5526315789473686e-05, | |
| "loss": 0.7954, | |
| "step": 63 | |
| }, | |
| { | |
| "epoch": 32.0, | |
| "learning_rate": 1.543859649122807e-05, | |
| "loss": 0.7716, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 32.5, | |
| "learning_rate": 1.535087719298246e-05, | |
| "loss": 0.7495, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 33.0, | |
| "learning_rate": 1.5263157894736846e-05, | |
| "loss": 0.7472, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 33.5, | |
| "learning_rate": 1.517543859649123e-05, | |
| "loss": 0.7637, | |
| "step": 67 | |
| }, | |
| { | |
| "epoch": 34.0, | |
| "learning_rate": 1.5087719298245615e-05, | |
| "loss": 0.7548, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 34.5, | |
| "learning_rate": 1.5000000000000002e-05, | |
| "loss": 0.7478, | |
| "step": 69 | |
| }, | |
| { | |
| "epoch": 35.0, | |
| "learning_rate": 1.4912280701754388e-05, | |
| "loss": 0.7518, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 35.0, | |
| "eval_accuracy_dropoff": 0.2960801853253515, | |
| "eval_accuracy_undropoff": 0.9683274343591943, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.1975453738560891, | |
| "eval_iou_undropoff": 0.9397214711056545, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.6810304522514343, | |
| "eval_mean_accuracy": 0.6322038098422729, | |
| "eval_mean_iou": 0.3790889483205812, | |
| "eval_overall_accuracy": 0.9403759002685547, | |
| "eval_runtime": 2.9719, | |
| "eval_samples_per_second": 6.73, | |
| "eval_steps_per_second": 0.673, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 35.5, | |
| "learning_rate": 1.4824561403508773e-05, | |
| "loss": 0.7382, | |
| "step": 71 | |
| }, | |
| { | |
| "epoch": 36.0, | |
| "learning_rate": 1.4736842105263159e-05, | |
| "loss": 0.7568, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 36.5, | |
| "learning_rate": 1.4649122807017544e-05, | |
| "loss": 0.7411, | |
| "step": 73 | |
| }, | |
| { | |
| "epoch": 37.0, | |
| "learning_rate": 1.4561403508771931e-05, | |
| "loss": 0.6921, | |
| "step": 74 | |
| }, | |
| { | |
| "epoch": 37.5, | |
| "learning_rate": 1.4473684210526317e-05, | |
| "loss": 0.7174, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 38.0, | |
| "learning_rate": 1.4385964912280704e-05, | |
| "loss": 0.7151, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 38.5, | |
| "learning_rate": 1.429824561403509e-05, | |
| "loss": 0.73, | |
| "step": 77 | |
| }, | |
| { | |
| "epoch": 39.0, | |
| "learning_rate": 1.4210526315789475e-05, | |
| "loss": 0.7098, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 39.5, | |
| "learning_rate": 1.412280701754386e-05, | |
| "loss": 0.6912, | |
| "step": 79 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "learning_rate": 1.4035087719298246e-05, | |
| "loss": 0.6943, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "eval_accuracy_dropoff": 0.2411156219179339, | |
| "eval_accuracy_undropoff": 0.9726190748643999, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.1691189482591643, | |
| "eval_iou_undropoff": 0.941739253422002, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.6321617364883423, | |
| "eval_mean_accuracy": 0.6068673483911668, | |
| "eval_mean_iou": 0.3702860672270554, | |
| "eval_overall_accuracy": 0.9422037124633789, | |
| "eval_runtime": 2.9083, | |
| "eval_samples_per_second": 6.877, | |
| "eval_steps_per_second": 0.688, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 40.5, | |
| "learning_rate": 1.3947368421052631e-05, | |
| "loss": 0.7307, | |
| "step": 81 | |
| }, | |
| { | |
| "epoch": 41.0, | |
| "learning_rate": 1.385964912280702e-05, | |
| "loss": 0.6983, | |
| "step": 82 | |
| }, | |
| { | |
| "epoch": 41.5, | |
| "learning_rate": 1.3771929824561406e-05, | |
| "loss": 0.6995, | |
| "step": 83 | |
| }, | |
| { | |
| "epoch": 42.0, | |
| "learning_rate": 1.3684210526315791e-05, | |
| "loss": 0.6687, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 42.5, | |
| "learning_rate": 1.3596491228070177e-05, | |
| "loss": 0.672, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 43.0, | |
| "learning_rate": 1.3508771929824562e-05, | |
| "loss": 0.6712, | |
| "step": 86 | |
| }, | |
| { | |
| "epoch": 43.5, | |
| "learning_rate": 1.3421052631578948e-05, | |
| "loss": 0.7337, | |
| "step": 87 | |
| }, | |
| { | |
| "epoch": 44.0, | |
| "learning_rate": 1.3333333333333333e-05, | |
| "loss": 0.6606, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 44.5, | |
| "learning_rate": 1.3245614035087719e-05, | |
| "loss": 0.7239, | |
| "step": 89 | |
| }, | |
| { | |
| "epoch": 45.0, | |
| "learning_rate": 1.3157894736842108e-05, | |
| "loss": 0.6617, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 45.0, | |
| "eval_accuracy_dropoff": 0.27343287690084633, | |
| "eval_accuracy_undropoff": 0.974586483073742, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.1892465949138013, | |
| "eval_iou_undropoff": 0.9448538377714254, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.6071122884750366, | |
| "eval_mean_accuracy": 0.6240096799872942, | |
| "eval_mean_iou": 0.3780334775617422, | |
| "eval_overall_accuracy": 0.9454330444335938, | |
| "eval_runtime": 3.1015, | |
| "eval_samples_per_second": 6.448, | |
| "eval_steps_per_second": 0.645, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 45.5, | |
| "learning_rate": 1.3070175438596493e-05, | |
| "loss": 0.6397, | |
| "step": 91 | |
| }, | |
| { | |
| "epoch": 46.0, | |
| "learning_rate": 1.2982456140350879e-05, | |
| "loss": 0.68, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 46.5, | |
| "learning_rate": 1.2894736842105264e-05, | |
| "loss": 0.6642, | |
| "step": 93 | |
| }, | |
| { | |
| "epoch": 47.0, | |
| "learning_rate": 1.280701754385965e-05, | |
| "loss": 0.6341, | |
| "step": 94 | |
| }, | |
| { | |
| "epoch": 47.5, | |
| "learning_rate": 1.2719298245614035e-05, | |
| "loss": 0.6783, | |
| "step": 95 | |
| }, | |
| { | |
| "epoch": 48.0, | |
| "learning_rate": 1.263157894736842e-05, | |
| "loss": 0.6371, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 48.5, | |
| "learning_rate": 1.2543859649122808e-05, | |
| "loss": 0.6431, | |
| "step": 97 | |
| }, | |
| { | |
| "epoch": 49.0, | |
| "learning_rate": 1.2456140350877195e-05, | |
| "loss": 0.6393, | |
| "step": 98 | |
| }, | |
| { | |
| "epoch": 49.5, | |
| "learning_rate": 1.236842105263158e-05, | |
| "loss": 0.6309, | |
| "step": 99 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "learning_rate": 1.2280701754385966e-05, | |
| "loss": 0.634, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "eval_accuracy_dropoff": 0.24070735567329526, | |
| "eval_accuracy_undropoff": 0.9804538810340934, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.18019759818954179, | |
| "eval_iou_undropoff": 0.9494230040635037, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.5931987166404724, | |
| "eval_mean_accuracy": 0.6105806183536944, | |
| "eval_mean_iou": 0.3765402007510152, | |
| "eval_overall_accuracy": 0.9496957778930664, | |
| "eval_runtime": 2.967, | |
| "eval_samples_per_second": 6.741, | |
| "eval_steps_per_second": 0.674, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 50.5, | |
| "learning_rate": 1.2192982456140352e-05, | |
| "loss": 0.6392, | |
| "step": 101 | |
| }, | |
| { | |
| "epoch": 51.0, | |
| "learning_rate": 1.2105263157894737e-05, | |
| "loss": 0.6654, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 51.5, | |
| "learning_rate": 1.2017543859649124e-05, | |
| "loss": 0.6101, | |
| "step": 103 | |
| }, | |
| { | |
| "epoch": 52.0, | |
| "learning_rate": 1.192982456140351e-05, | |
| "loss": 0.6192, | |
| "step": 104 | |
| }, | |
| { | |
| "epoch": 52.5, | |
| "learning_rate": 1.1842105263157895e-05, | |
| "loss": 0.6381, | |
| "step": 105 | |
| }, | |
| { | |
| "epoch": 53.0, | |
| "learning_rate": 1.1754385964912282e-05, | |
| "loss": 0.6018, | |
| "step": 106 | |
| }, | |
| { | |
| "epoch": 53.5, | |
| "learning_rate": 1.1666666666666668e-05, | |
| "loss": 0.6106, | |
| "step": 107 | |
| }, | |
| { | |
| "epoch": 54.0, | |
| "learning_rate": 1.1578947368421053e-05, | |
| "loss": 0.6486, | |
| "step": 108 | |
| }, | |
| { | |
| "epoch": 54.5, | |
| "learning_rate": 1.1491228070175439e-05, | |
| "loss": 0.6192, | |
| "step": 109 | |
| }, | |
| { | |
| "epoch": 55.0, | |
| "learning_rate": 1.1403508771929826e-05, | |
| "loss": 0.6157, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 55.0, | |
| "eval_accuracy_dropoff": 0.32805798298126104, | |
| "eval_accuracy_undropoff": 0.9795322679026485, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.24251662501229285, | |
| "eval_iou_undropoff": 0.9520137977134819, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.5828702449798584, | |
| "eval_mean_accuracy": 0.6537951254419547, | |
| "eval_mean_iou": 0.39817680757525825, | |
| "eval_overall_accuracy": 0.9524444580078125, | |
| "eval_runtime": 2.9135, | |
| "eval_samples_per_second": 6.865, | |
| "eval_steps_per_second": 0.686, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 55.5, | |
| "learning_rate": 1.1315789473684212e-05, | |
| "loss": 0.6085, | |
| "step": 111 | |
| }, | |
| { | |
| "epoch": 56.0, | |
| "learning_rate": 1.1228070175438597e-05, | |
| "loss": 0.5901, | |
| "step": 112 | |
| }, | |
| { | |
| "epoch": 56.5, | |
| "learning_rate": 1.1140350877192983e-05, | |
| "loss": 0.6228, | |
| "step": 113 | |
| }, | |
| { | |
| "epoch": 57.0, | |
| "learning_rate": 1.105263157894737e-05, | |
| "loss": 0.5944, | |
| "step": 114 | |
| }, | |
| { | |
| "epoch": 57.5, | |
| "learning_rate": 1.0964912280701755e-05, | |
| "loss": 0.6076, | |
| "step": 115 | |
| }, | |
| { | |
| "epoch": 58.0, | |
| "learning_rate": 1.0877192982456142e-05, | |
| "loss": 0.5844, | |
| "step": 116 | |
| }, | |
| { | |
| "epoch": 58.5, | |
| "learning_rate": 1.0789473684210528e-05, | |
| "loss": 0.5846, | |
| "step": 117 | |
| }, | |
| { | |
| "epoch": 59.0, | |
| "learning_rate": 1.0701754385964913e-05, | |
| "loss": 0.6332, | |
| "step": 118 | |
| }, | |
| { | |
| "epoch": 59.5, | |
| "learning_rate": 1.0614035087719299e-05, | |
| "loss": 0.5968, | |
| "step": 119 | |
| }, | |
| { | |
| "epoch": 60.0, | |
| "learning_rate": 1.0526315789473684e-05, | |
| "loss": 0.5814, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 60.0, | |
| "eval_accuracy_dropoff": 0.3607972659923393, | |
| "eval_accuracy_undropoff": 0.9790086738303464, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.25863605423162545, | |
| "eval_iou_undropoff": 0.9527589478644293, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.5707733035087585, | |
| "eval_mean_accuracy": 0.6699029699113428, | |
| "eval_mean_iou": 0.4037983340320182, | |
| "eval_overall_accuracy": 0.9533039093017578, | |
| "eval_runtime": 2.8254, | |
| "eval_samples_per_second": 7.079, | |
| "eval_steps_per_second": 0.708, | |
| "step": 120 | |
| } | |
| ], | |
| "max_steps": 240, | |
| "num_train_epochs": 120, | |
| "total_flos": 6.107874830843904e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |