|
{ |
|
"best_metric": 0.43275266885757446, |
|
"best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/dropoff-utcustom-train-SF-RGBD-b5_4/checkpoint-80", |
|
"epoch": 40.0, |
|
"global_step": 80, |
|
"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": 1.0694, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"learning_rate": 1.1666666666666666e-06, |
|
"loss": 1.0723, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 1.5, |
|
"learning_rate": 1.75e-06, |
|
"loss": 1.0706, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 2.333333333333333e-06, |
|
"loss": 1.065, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 2.5, |
|
"learning_rate": 2.9166666666666666e-06, |
|
"loss": 1.0545, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"learning_rate": 3.5e-06, |
|
"loss": 1.0534, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 3.5, |
|
"learning_rate": 4.083333333333334e-06, |
|
"loss": 1.0415, |
|
"step": 7 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"learning_rate": 4.666666666666666e-06, |
|
"loss": 1.0317, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 4.5, |
|
"learning_rate": 5.25e-06, |
|
"loss": 1.0243, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"learning_rate": 5.833333333333333e-06, |
|
"loss": 1.0114, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy_dropoff": 0.13676001743159247, |
|
"eval_accuracy_undropoff": 0.732156656321488, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.028638451200897586, |
|
"eval_iou_undropoff": 0.7089184137505781, |
|
"eval_iou_unlabeled": 0.0, |
|
"eval_loss": 1.0037065744400024, |
|
"eval_mean_accuracy": 0.43445833687654023, |
|
"eval_mean_iou": 0.24585228831715855, |
|
"eval_overall_accuracy": 0.7074005126953125, |
|
"eval_runtime": 3.5408, |
|
"eval_samples_per_second": 5.648, |
|
"eval_steps_per_second": 0.565, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 5.5, |
|
"learning_rate": 6.4166666666666665e-06, |
|
"loss": 1.0052, |
|
"step": 11 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"learning_rate": 7e-06, |
|
"loss": 0.9933, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 6.5, |
|
"learning_rate": 6.969298245614035e-06, |
|
"loss": 0.9842, |
|
"step": 13 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"learning_rate": 6.9385964912280696e-06, |
|
"loss": 0.9771, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 7.5, |
|
"learning_rate": 6.907894736842105e-06, |
|
"loss": 0.9683, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"learning_rate": 6.87719298245614e-06, |
|
"loss": 0.9541, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 8.5, |
|
"learning_rate": 6.846491228070175e-06, |
|
"loss": 0.9465, |
|
"step": 17 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"learning_rate": 6.815789473684211e-06, |
|
"loss": 0.9306, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 9.5, |
|
"learning_rate": 6.785087719298246e-06, |
|
"loss": 0.9217, |
|
"step": 19 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"learning_rate": 6.75438596491228e-06, |
|
"loss": 0.9088, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_accuracy_dropoff": 0.08571297506823551, |
|
"eval_accuracy_undropoff": 0.9235142694807941, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.04595018640749958, |
|
"eval_iou_undropoff": 0.8896697494651115, |
|
"eval_iou_unlabeled": 0.0, |
|
"eval_loss": 0.8245114088058472, |
|
"eval_mean_accuracy": 0.5046136222745148, |
|
"eval_mean_iou": 0.31187331195753704, |
|
"eval_overall_accuracy": 0.8886791229248047, |
|
"eval_runtime": 2.8775, |
|
"eval_samples_per_second": 6.95, |
|
"eval_steps_per_second": 0.695, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 10.5, |
|
"learning_rate": 6.7236842105263156e-06, |
|
"loss": 0.9041, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 11.0, |
|
"learning_rate": 6.692982456140351e-06, |
|
"loss": 0.877, |
|
"step": 22 |
|
}, |
|
{ |
|
"epoch": 11.5, |
|
"learning_rate": 6.662280701754385e-06, |
|
"loss": 0.8683, |
|
"step": 23 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"learning_rate": 6.6315789473684205e-06, |
|
"loss": 0.8695, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 12.5, |
|
"learning_rate": 6.600877192982457e-06, |
|
"loss": 0.8496, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 13.0, |
|
"learning_rate": 6.570175438596491e-06, |
|
"loss": 0.8368, |
|
"step": 26 |
|
}, |
|
{ |
|
"epoch": 13.5, |
|
"learning_rate": 6.539473684210526e-06, |
|
"loss": 0.825, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 14.0, |
|
"learning_rate": 6.5087719298245616e-06, |
|
"loss": 0.8255, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 14.5, |
|
"learning_rate": 6.478070175438596e-06, |
|
"loss": 0.8017, |
|
"step": 29 |
|
}, |
|
{ |
|
"epoch": 15.0, |
|
"learning_rate": 6.447368421052631e-06, |
|
"loss": 0.8029, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 15.0, |
|
"eval_accuracy_dropoff": 0.03994587031812656, |
|
"eval_accuracy_undropoff": 0.9596368872123442, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.02525287676317743, |
|
"eval_iou_undropoff": 0.921926919826706, |
|
"eval_iou_unlabeled": 0.0, |
|
"eval_loss": 0.6619901061058044, |
|
"eval_mean_accuracy": 0.4997913787652354, |
|
"eval_mean_iou": 0.3157265988632945, |
|
"eval_overall_accuracy": 0.9213968276977539, |
|
"eval_runtime": 2.9201, |
|
"eval_samples_per_second": 6.849, |
|
"eval_steps_per_second": 0.685, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 15.5, |
|
"learning_rate": 6.4166666666666665e-06, |
|
"loss": 0.7827, |
|
"step": 31 |
|
}, |
|
{ |
|
"epoch": 16.0, |
|
"learning_rate": 6.385964912280701e-06, |
|
"loss": 0.7741, |
|
"step": 32 |
|
}, |
|
{ |
|
"epoch": 16.5, |
|
"learning_rate": 6.355263157894737e-06, |
|
"loss": 0.7773, |
|
"step": 33 |
|
}, |
|
{ |
|
"epoch": 17.0, |
|
"learning_rate": 6.324561403508772e-06, |
|
"loss": 0.7609, |
|
"step": 34 |
|
}, |
|
{ |
|
"epoch": 17.5, |
|
"learning_rate": 6.293859649122807e-06, |
|
"loss": 0.7477, |
|
"step": 35 |
|
}, |
|
{ |
|
"epoch": 18.0, |
|
"learning_rate": 6.263157894736842e-06, |
|
"loss": 0.7405, |
|
"step": 36 |
|
}, |
|
{ |
|
"epoch": 18.5, |
|
"learning_rate": 6.232456140350877e-06, |
|
"loss": 0.7221, |
|
"step": 37 |
|
}, |
|
{ |
|
"epoch": 19.0, |
|
"learning_rate": 6.201754385964912e-06, |
|
"loss": 0.7194, |
|
"step": 38 |
|
}, |
|
{ |
|
"epoch": 19.5, |
|
"learning_rate": 6.171052631578947e-06, |
|
"loss": 0.7267, |
|
"step": 39 |
|
}, |
|
{ |
|
"epoch": 20.0, |
|
"learning_rate": 6.140350877192982e-06, |
|
"loss": 0.6935, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 20.0, |
|
"eval_accuracy_dropoff": 0.021431684212940665, |
|
"eval_accuracy_undropoff": 0.9703820087424886, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.015123901396824369, |
|
"eval_iou_undropoff": 0.9311250629685884, |
|
"eval_iou_unlabeled": 0.0, |
|
"eval_loss": 0.5661563873291016, |
|
"eval_mean_accuracy": 0.4959068464777146, |
|
"eval_mean_iou": 0.3154163214551376, |
|
"eval_overall_accuracy": 0.9309253692626953, |
|
"eval_runtime": 2.9118, |
|
"eval_samples_per_second": 6.869, |
|
"eval_steps_per_second": 0.687, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 20.5, |
|
"learning_rate": 6.1096491228070174e-06, |
|
"loss": 0.691, |
|
"step": 41 |
|
}, |
|
{ |
|
"epoch": 21.0, |
|
"learning_rate": 6.078947368421053e-06, |
|
"loss": 0.6723, |
|
"step": 42 |
|
}, |
|
{ |
|
"epoch": 21.5, |
|
"learning_rate": 6.048245614035088e-06, |
|
"loss": 0.6811, |
|
"step": 43 |
|
}, |
|
{ |
|
"epoch": 22.0, |
|
"learning_rate": 6.017543859649122e-06, |
|
"loss": 0.6487, |
|
"step": 44 |
|
}, |
|
{ |
|
"epoch": 22.5, |
|
"learning_rate": 5.986842105263158e-06, |
|
"loss": 0.6643, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 23.0, |
|
"learning_rate": 5.956140350877193e-06, |
|
"loss": 0.6587, |
|
"step": 46 |
|
}, |
|
{ |
|
"epoch": 23.5, |
|
"learning_rate": 5.925438596491228e-06, |
|
"loss": 0.6371, |
|
"step": 47 |
|
}, |
|
{ |
|
"epoch": 24.0, |
|
"learning_rate": 5.894736842105263e-06, |
|
"loss": 0.6436, |
|
"step": 48 |
|
}, |
|
{ |
|
"epoch": 24.5, |
|
"learning_rate": 5.864035087719299e-06, |
|
"loss": 0.6312, |
|
"step": 49 |
|
}, |
|
{ |
|
"epoch": 25.0, |
|
"learning_rate": 5.833333333333333e-06, |
|
"loss": 0.635, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 25.0, |
|
"eval_accuracy_dropoff": 0.01526640519277965, |
|
"eval_accuracy_undropoff": 0.9802598467427612, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.012095308706587, |
|
"eval_iou_undropoff": 0.9403544093266979, |
|
"eval_iou_unlabeled": 0.0, |
|
"eval_loss": 0.5018354058265686, |
|
"eval_mean_accuracy": 0.49776312596777045, |
|
"eval_mean_iou": 0.3174832393444283, |
|
"eval_overall_accuracy": 0.9401361465454101, |
|
"eval_runtime": 13.2377, |
|
"eval_samples_per_second": 1.511, |
|
"eval_steps_per_second": 0.151, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 25.5, |
|
"learning_rate": 5.802631578947368e-06, |
|
"loss": 0.6097, |
|
"step": 51 |
|
}, |
|
{ |
|
"epoch": 26.0, |
|
"learning_rate": 5.771929824561404e-06, |
|
"loss": 0.6166, |
|
"step": 52 |
|
}, |
|
{ |
|
"epoch": 26.5, |
|
"learning_rate": 5.741228070175439e-06, |
|
"loss": 0.6093, |
|
"step": 53 |
|
}, |
|
{ |
|
"epoch": 27.0, |
|
"learning_rate": 5.710526315789473e-06, |
|
"loss": 0.6055, |
|
"step": 54 |
|
}, |
|
{ |
|
"epoch": 27.5, |
|
"learning_rate": 5.6798245614035086e-06, |
|
"loss": 0.5944, |
|
"step": 55 |
|
}, |
|
{ |
|
"epoch": 28.0, |
|
"learning_rate": 5.649122807017544e-06, |
|
"loss": 0.574, |
|
"step": 56 |
|
}, |
|
{ |
|
"epoch": 28.5, |
|
"learning_rate": 5.618421052631579e-06, |
|
"loss": 0.5909, |
|
"step": 57 |
|
}, |
|
{ |
|
"epoch": 29.0, |
|
"learning_rate": 5.587719298245614e-06, |
|
"loss": 0.5751, |
|
"step": 58 |
|
}, |
|
{ |
|
"epoch": 29.5, |
|
"learning_rate": 5.55701754385965e-06, |
|
"loss": 0.5794, |
|
"step": 59 |
|
}, |
|
{ |
|
"epoch": 30.0, |
|
"learning_rate": 5.526315789473684e-06, |
|
"loss": 0.5579, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 30.0, |
|
"eval_accuracy_dropoff": 0.013050758044909287, |
|
"eval_accuracy_undropoff": 0.9824573099682878, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.011141788560574909, |
|
"eval_iou_undropoff": 0.9423118438942378, |
|
"eval_iou_unlabeled": 0.0, |
|
"eval_loss": 0.4701308310031891, |
|
"eval_mean_accuracy": 0.49775403400659857, |
|
"eval_mean_iou": 0.31781787748493756, |
|
"eval_overall_accuracy": 0.9421501159667969, |
|
"eval_runtime": 2.835, |
|
"eval_samples_per_second": 7.055, |
|
"eval_steps_per_second": 0.705, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 30.5, |
|
"learning_rate": 5.495614035087719e-06, |
|
"loss": 0.5654, |
|
"step": 61 |
|
}, |
|
{ |
|
"epoch": 31.0, |
|
"learning_rate": 5.4649122807017546e-06, |
|
"loss": 0.5423, |
|
"step": 62 |
|
}, |
|
{ |
|
"epoch": 31.5, |
|
"learning_rate": 5.434210526315789e-06, |
|
"loss": 0.5493, |
|
"step": 63 |
|
}, |
|
{ |
|
"epoch": 32.0, |
|
"learning_rate": 5.403508771929824e-06, |
|
"loss": 0.5479, |
|
"step": 64 |
|
}, |
|
{ |
|
"epoch": 32.5, |
|
"learning_rate": 5.37280701754386e-06, |
|
"loss": 0.5559, |
|
"step": 65 |
|
}, |
|
{ |
|
"epoch": 33.0, |
|
"learning_rate": 5.342105263157895e-06, |
|
"loss": 0.5416, |
|
"step": 66 |
|
}, |
|
{ |
|
"epoch": 33.5, |
|
"learning_rate": 5.31140350877193e-06, |
|
"loss": 0.5307, |
|
"step": 67 |
|
}, |
|
{ |
|
"epoch": 34.0, |
|
"learning_rate": 5.280701754385965e-06, |
|
"loss": 0.5303, |
|
"step": 68 |
|
}, |
|
{ |
|
"epoch": 34.5, |
|
"learning_rate": 5.25e-06, |
|
"loss": 0.5238, |
|
"step": 69 |
|
}, |
|
{ |
|
"epoch": 35.0, |
|
"learning_rate": 5.219298245614035e-06, |
|
"loss": 0.5086, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 35.0, |
|
"eval_accuracy_dropoff": 0.008844239546778597, |
|
"eval_accuracy_undropoff": 0.9865837725639492, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.008049062543052883, |
|
"eval_iou_undropoff": 0.9461391183132418, |
|
"eval_iou_unlabeled": 0.0, |
|
"eval_loss": 0.44029974937438965, |
|
"eval_mean_accuracy": 0.4977140060553639, |
|
"eval_mean_iou": 0.31806272695209825, |
|
"eval_overall_accuracy": 0.9459300994873047, |
|
"eval_runtime": 2.9283, |
|
"eval_samples_per_second": 6.83, |
|
"eval_steps_per_second": 0.683, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 35.5, |
|
"learning_rate": 5.18859649122807e-06, |
|
"loss": 0.5131, |
|
"step": 71 |
|
}, |
|
{ |
|
"epoch": 36.0, |
|
"learning_rate": 5.157894736842105e-06, |
|
"loss": 0.5041, |
|
"step": 72 |
|
}, |
|
{ |
|
"epoch": 36.5, |
|
"learning_rate": 5.12719298245614e-06, |
|
"loss": 0.528, |
|
"step": 73 |
|
}, |
|
{ |
|
"epoch": 37.0, |
|
"learning_rate": 5.096491228070176e-06, |
|
"loss": 0.4949, |
|
"step": 74 |
|
}, |
|
{ |
|
"epoch": 37.5, |
|
"learning_rate": 5.0657894736842104e-06, |
|
"loss": 0.498, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 38.0, |
|
"learning_rate": 5.035087719298246e-06, |
|
"loss": 0.5077, |
|
"step": 76 |
|
}, |
|
{ |
|
"epoch": 38.5, |
|
"learning_rate": 5.004385964912281e-06, |
|
"loss": 0.4977, |
|
"step": 77 |
|
}, |
|
{ |
|
"epoch": 39.0, |
|
"learning_rate": 4.973684210526315e-06, |
|
"loss": 0.4885, |
|
"step": 78 |
|
}, |
|
{ |
|
"epoch": 39.5, |
|
"learning_rate": 4.942982456140351e-06, |
|
"loss": 0.4882, |
|
"step": 79 |
|
}, |
|
{ |
|
"epoch": 40.0, |
|
"learning_rate": 4.912280701754386e-06, |
|
"loss": 0.472, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 40.0, |
|
"eval_accuracy_dropoff": 0.006284547810729604, |
|
"eval_accuracy_undropoff": 0.9878638018581519, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.005870480908081981, |
|
"eval_iou_undropoff": 0.9472967064759237, |
|
"eval_iou_unlabeled": 0.0, |
|
"eval_loss": 0.43275266885757446, |
|
"eval_mean_accuracy": 0.4970741748344408, |
|
"eval_mean_iou": 0.31772239579466854, |
|
"eval_overall_accuracy": 0.9470504760742188, |
|
"eval_runtime": 2.9365, |
|
"eval_samples_per_second": 6.811, |
|
"eval_steps_per_second": 0.681, |
|
"step": 80 |
|
} |
|
], |
|
"max_steps": 240, |
|
"num_train_epochs": 120, |
|
"total_flos": 9.26182870572073e+17, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|