|
{ |
|
"best_metric": 0.9755474328994751, |
|
"best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/dropoff-utcustom-train-SF-RGB-b5_3/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": 4.1666666666666667e-07, |
|
"loss": 1.3484, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"learning_rate": 8.333333333333333e-07, |
|
"loss": 1.3481, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 1.5, |
|
"learning_rate": 1.25e-06, |
|
"loss": 1.3531, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 1.6666666666666667e-06, |
|
"loss": 1.3399, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 2.5, |
|
"learning_rate": 2.0833333333333334e-06, |
|
"loss": 1.3398, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"learning_rate": 2.5e-06, |
|
"loss": 1.3386, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 3.5, |
|
"learning_rate": 2.916666666666667e-06, |
|
"loss": 1.3376, |
|
"step": 7 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"learning_rate": 3.3333333333333333e-06, |
|
"loss": 1.3249, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 4.5, |
|
"learning_rate": 3.7500000000000005e-06, |
|
"loss": 1.3205, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"learning_rate": 4.166666666666667e-06, |
|
"loss": 1.3135, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy_dropoff": 0.4068717172412211, |
|
"eval_accuracy_undropoff": 0.11034322178517518, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.053473330857492875, |
|
"eval_iou_undropoff": 0.1102453041626867, |
|
"eval_iou_unlabeled": 0.0, |
|
"eval_loss": 1.2007640600204468, |
|
"eval_mean_accuracy": 0.25860746951319813, |
|
"eval_mean_iou": 0.05457287834005986, |
|
"eval_overall_accuracy": 0.12267265319824219, |
|
"eval_runtime": 2.5511, |
|
"eval_samples_per_second": 7.84, |
|
"eval_steps_per_second": 0.784, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 5.5, |
|
"learning_rate": 4.583333333333333e-06, |
|
"loss": 1.3089, |
|
"step": 11 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"learning_rate": 5e-06, |
|
"loss": 1.3043, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 6.5, |
|
"learning_rate": 4.978070175438597e-06, |
|
"loss": 1.2871, |
|
"step": 13 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"learning_rate": 4.956140350877193e-06, |
|
"loss": 1.2832, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 7.5, |
|
"learning_rate": 4.9342105263157895e-06, |
|
"loss": 1.2709, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"learning_rate": 4.912280701754386e-06, |
|
"loss": 1.2634, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 8.5, |
|
"learning_rate": 4.890350877192983e-06, |
|
"loss": 1.257, |
|
"step": 17 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"learning_rate": 4.8684210526315795e-06, |
|
"loss": 1.2403, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 9.5, |
|
"learning_rate": 4.846491228070176e-06, |
|
"loss": 1.2398, |
|
"step": 19 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"learning_rate": 4.824561403508772e-06, |
|
"loss": 1.2309, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_accuracy_dropoff": 0.43877153145714354, |
|
"eval_accuracy_undropoff": 0.24072332003617994, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.11288106949650205, |
|
"eval_iou_undropoff": 0.24004849364289937, |
|
"eval_iou_unlabeled": 0.0, |
|
"eval_loss": 1.1293678283691406, |
|
"eval_mean_accuracy": 0.3397474257466617, |
|
"eval_mean_iou": 0.11764318771313381, |
|
"eval_overall_accuracy": 0.24895801544189453, |
|
"eval_runtime": 2.6298, |
|
"eval_samples_per_second": 7.605, |
|
"eval_steps_per_second": 0.761, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 10.5, |
|
"learning_rate": 4.802631578947369e-06, |
|
"loss": 1.2159, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 11.0, |
|
"learning_rate": 4.780701754385965e-06, |
|
"loss": 1.2243, |
|
"step": 22 |
|
}, |
|
{ |
|
"epoch": 11.5, |
|
"learning_rate": 4.758771929824561e-06, |
|
"loss": 1.2094, |
|
"step": 23 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"learning_rate": 4.736842105263158e-06, |
|
"loss": 1.1904, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 12.5, |
|
"learning_rate": 4.714912280701755e-06, |
|
"loss": 1.1865, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 13.0, |
|
"learning_rate": 4.692982456140351e-06, |
|
"loss": 1.1715, |
|
"step": 26 |
|
}, |
|
{ |
|
"epoch": 13.5, |
|
"learning_rate": 4.671052631578948e-06, |
|
"loss": 1.1722, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 14.0, |
|
"learning_rate": 4.649122807017544e-06, |
|
"loss": 1.1511, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 14.5, |
|
"learning_rate": 4.6271929824561405e-06, |
|
"loss": 1.1512, |
|
"step": 29 |
|
}, |
|
{ |
|
"epoch": 15.0, |
|
"learning_rate": 4.605263157894737e-06, |
|
"loss": 1.1346, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 15.0, |
|
"eval_accuracy_dropoff": 0.46940067432739285, |
|
"eval_accuracy_undropoff": 0.5035900324087019, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.15243042262584855, |
|
"eval_iou_undropoff": 0.4989255427443525, |
|
"eval_iou_unlabeled": 0.0, |
|
"eval_loss": 1.039512276649475, |
|
"eval_mean_accuracy": 0.4864953533680474, |
|
"eval_mean_iou": 0.21711865512340034, |
|
"eval_overall_accuracy": 0.5021684646606446, |
|
"eval_runtime": 2.9463, |
|
"eval_samples_per_second": 6.788, |
|
"eval_steps_per_second": 0.679, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 15.5, |
|
"learning_rate": 4.583333333333333e-06, |
|
"loss": 1.1343, |
|
"step": 31 |
|
}, |
|
{ |
|
"epoch": 16.0, |
|
"learning_rate": 4.56140350877193e-06, |
|
"loss": 1.1182, |
|
"step": 32 |
|
}, |
|
{ |
|
"epoch": 16.5, |
|
"learning_rate": 4.539473684210527e-06, |
|
"loss": 1.132, |
|
"step": 33 |
|
}, |
|
{ |
|
"epoch": 17.0, |
|
"learning_rate": 4.517543859649123e-06, |
|
"loss": 1.0986, |
|
"step": 34 |
|
}, |
|
{ |
|
"epoch": 17.5, |
|
"learning_rate": 4.4956140350877196e-06, |
|
"loss": 1.0887, |
|
"step": 35 |
|
}, |
|
{ |
|
"epoch": 18.0, |
|
"learning_rate": 4.473684210526316e-06, |
|
"loss": 1.1214, |
|
"step": 36 |
|
}, |
|
{ |
|
"epoch": 18.5, |
|
"learning_rate": 4.451754385964912e-06, |
|
"loss": 1.0945, |
|
"step": 37 |
|
}, |
|
{ |
|
"epoch": 19.0, |
|
"learning_rate": 4.429824561403509e-06, |
|
"loss": 1.076, |
|
"step": 38 |
|
}, |
|
{ |
|
"epoch": 19.5, |
|
"learning_rate": 4.407894736842105e-06, |
|
"loss": 1.0444, |
|
"step": 39 |
|
}, |
|
{ |
|
"epoch": 20.0, |
|
"learning_rate": 4.385964912280702e-06, |
|
"loss": 1.1088, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 20.0, |
|
"eval_accuracy_dropoff": 0.48076332025963897, |
|
"eval_accuracy_undropoff": 0.6235115828521449, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.1660792839847365, |
|
"eval_iou_undropoff": 0.616259059512146, |
|
"eval_iou_unlabeled": 0.0, |
|
"eval_loss": 0.9755474328994751, |
|
"eval_mean_accuracy": 0.5521374515558919, |
|
"eval_mean_iou": 0.2607794478322942, |
|
"eval_overall_accuracy": 0.6175762176513672, |
|
"eval_runtime": 3.0937, |
|
"eval_samples_per_second": 6.465, |
|
"eval_steps_per_second": 0.646, |
|
"step": 40 |
|
} |
|
], |
|
"max_steps": 240, |
|
"num_train_epochs": 120, |
|
"total_flos": 2.3151996998516736e+17, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|