| { | |
| "best_metric": 0.2579088807106018, | |
| "best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/dropoff-utcustom-train-SF-RGB-b0_6/checkpoint-160", | |
| "epoch": 53.333333333333336, | |
| "global_step": 160, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.33, | |
| "learning_rate": 3.888888888888889e-06, | |
| "loss": 1.1755, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.67, | |
| "learning_rate": 7.777777777777777e-06, | |
| "loss": 1.1749, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 1.1666666666666665e-05, | |
| "loss": 1.183, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 1.33, | |
| "learning_rate": 1.5555555555555555e-05, | |
| "loss": 1.1718, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 1.67, | |
| "learning_rate": 1.9444444444444442e-05, | |
| "loss": 1.1706, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 2.333333333333333e-05, | |
| "loss": 1.1696, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 2.33, | |
| "learning_rate": 2.722222222222222e-05, | |
| "loss": 1.1558, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 2.67, | |
| "learning_rate": 3.111111111111111e-05, | |
| "loss": 1.1489, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "learning_rate": 3.5e-05, | |
| "loss": 1.135, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 3.33, | |
| "learning_rate": 3.8888888888888884e-05, | |
| "loss": 1.1234, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 3.33, | |
| "eval_accuracy_dropoff": 0.772015071105291, | |
| "eval_accuracy_undropoff": 0.353825865102452, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.1801195043477445, | |
| "eval_iou_undropoff": 0.3536296682807036, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 1.097259283065796, | |
| "eval_mean_accuracy": 0.5629204681038715, | |
| "eval_mean_iou": 0.17791639087614938, | |
| "eval_overall_accuracy": 0.37234242757161456, | |
| "eval_runtime": 1.873, | |
| "eval_samples_per_second": 8.008, | |
| "eval_steps_per_second": 0.534, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 3.67, | |
| "learning_rate": 4.277777777777778e-05, | |
| "loss": 1.1168, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "learning_rate": 4.666666666666666e-05, | |
| "loss": 1.0895, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 4.33, | |
| "learning_rate": 5.055555555555555e-05, | |
| "loss": 1.1027, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 4.67, | |
| "learning_rate": 5.444444444444444e-05, | |
| "loss": 1.0795, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 5.833333333333333e-05, | |
| "loss": 1.0598, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 5.33, | |
| "learning_rate": 6.222222222222222e-05, | |
| "loss": 1.0449, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 5.67, | |
| "learning_rate": 6.611111111111111e-05, | |
| "loss": 1.0268, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "learning_rate": 7e-05, | |
| "loss": 1.0843, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 6.33, | |
| "learning_rate": 6.97953216374269e-05, | |
| "loss": 1.0029, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 6.67, | |
| "learning_rate": 6.95906432748538e-05, | |
| "loss": 0.975, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 6.67, | |
| "eval_accuracy_dropoff": 0.8258609598639924, | |
| "eval_accuracy_undropoff": 0.8102080545984994, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.24279987572018127, | |
| "eval_iou_undropoff": 0.8068537963656117, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 1.0260422229766846, | |
| "eval_mean_accuracy": 0.8180345072312459, | |
| "eval_mean_iou": 0.34988455736193097, | |
| "eval_overall_accuracy": 0.810901133219401, | |
| "eval_runtime": 1.6566, | |
| "eval_samples_per_second": 9.055, | |
| "eval_steps_per_second": 0.604, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "learning_rate": 6.938596491228069e-05, | |
| "loss": 1.0358, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 7.33, | |
| "learning_rate": 6.91812865497076e-05, | |
| "loss": 0.9361, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 7.67, | |
| "learning_rate": 6.89766081871345e-05, | |
| "loss": 0.9311, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "learning_rate": 6.877192982456139e-05, | |
| "loss": 0.9149, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 8.33, | |
| "learning_rate": 6.85672514619883e-05, | |
| "loss": 0.9056, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 8.67, | |
| "learning_rate": 6.83625730994152e-05, | |
| "loss": 0.8637, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "learning_rate": 6.81578947368421e-05, | |
| "loss": 0.7991, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 9.33, | |
| "learning_rate": 6.7953216374269e-05, | |
| "loss": 0.8143, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 9.67, | |
| "learning_rate": 6.774853801169589e-05, | |
| "loss": 0.7999, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "learning_rate": 6.75438596491228e-05, | |
| "loss": 0.9464, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy_dropoff": 0.5212052289383601, | |
| "eval_accuracy_undropoff": 0.9700488444545206, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.3384996437670423, | |
| "eval_iou_undropoff": 0.9507046257182781, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.8130465149879456, | |
| "eval_mean_accuracy": 0.7456270366964404, | |
| "eval_mean_iou": 0.4297347564951068, | |
| "eval_overall_accuracy": 0.9501749674479166, | |
| "eval_runtime": 1.7097, | |
| "eval_samples_per_second": 8.773, | |
| "eval_steps_per_second": 0.585, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 10.33, | |
| "learning_rate": 6.733918128654971e-05, | |
| "loss": 0.763, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 10.67, | |
| "learning_rate": 6.71345029239766e-05, | |
| "loss": 0.7591, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "learning_rate": 6.69298245614035e-05, | |
| "loss": 0.6623, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 11.33, | |
| "learning_rate": 6.672514619883041e-05, | |
| "loss": 0.7138, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 11.67, | |
| "learning_rate": 6.65204678362573e-05, | |
| "loss": 0.6695, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "learning_rate": 6.63157894736842e-05, | |
| "loss": 0.6987, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 12.33, | |
| "learning_rate": 6.611111111111111e-05, | |
| "loss": 0.6494, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 12.67, | |
| "learning_rate": 6.5906432748538e-05, | |
| "loss": 0.6317, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "learning_rate": 6.570175438596491e-05, | |
| "loss": 0.834, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 13.33, | |
| "learning_rate": 6.54970760233918e-05, | |
| "loss": 0.6167, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 13.33, | |
| "eval_accuracy_dropoff": 0.5047671560181037, | |
| "eval_accuracy_undropoff": 0.9829004494881923, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.3743041743152479, | |
| "eval_iou_undropoff": 0.961015278770039, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.6001297235488892, | |
| "eval_mean_accuracy": 0.743833802753148, | |
| "eval_mean_iou": 0.44510648436176226, | |
| "eval_overall_accuracy": 0.9617296854654948, | |
| "eval_runtime": 1.7423, | |
| "eval_samples_per_second": 8.609, | |
| "eval_steps_per_second": 0.574, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 13.67, | |
| "learning_rate": 6.52923976608187e-05, | |
| "loss": 0.6201, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "learning_rate": 6.508771929824561e-05, | |
| "loss": 0.6009, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 14.33, | |
| "learning_rate": 6.488304093567252e-05, | |
| "loss": 0.5716, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 14.67, | |
| "learning_rate": 6.467836257309941e-05, | |
| "loss": 0.5779, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "learning_rate": 6.447368421052631e-05, | |
| "loss": 0.5397, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 15.33, | |
| "learning_rate": 6.426900584795322e-05, | |
| "loss": 0.5569, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 15.67, | |
| "learning_rate": 6.406432748538011e-05, | |
| "loss": 0.5152, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "learning_rate": 6.3859649122807e-05, | |
| "loss": 0.5266, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 16.33, | |
| "learning_rate": 6.365497076023391e-05, | |
| "loss": 0.5389, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 16.67, | |
| "learning_rate": 6.345029239766081e-05, | |
| "loss": 0.4818, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 16.67, | |
| "eval_accuracy_dropoff": 0.4572736462425621, | |
| "eval_accuracy_undropoff": 0.9901589972677334, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.38151532722193204, | |
| "eval_iou_undropoff": 0.9659037872797944, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.46292775869369507, | |
| "eval_mean_accuracy": 0.7237163217551478, | |
| "eval_mean_iou": 0.4491397048339088, | |
| "eval_overall_accuracy": 0.9665639241536458, | |
| "eval_runtime": 1.7358, | |
| "eval_samples_per_second": 8.641, | |
| "eval_steps_per_second": 0.576, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "learning_rate": 6.324561403508772e-05, | |
| "loss": 0.5289, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 17.33, | |
| "learning_rate": 6.304093567251461e-05, | |
| "loss": 0.4991, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 17.67, | |
| "learning_rate": 6.283625730994151e-05, | |
| "loss": 0.4643, | |
| "step": 53 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "learning_rate": 6.263157894736842e-05, | |
| "loss": 0.4359, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 18.33, | |
| "learning_rate": 6.242690058479532e-05, | |
| "loss": 0.4679, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 18.67, | |
| "learning_rate": 6.222222222222222e-05, | |
| "loss": 0.4619, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "learning_rate": 6.201754385964911e-05, | |
| "loss": 0.6641, | |
| "step": 57 | |
| }, | |
| { | |
| "epoch": 19.33, | |
| "learning_rate": 6.181286549707602e-05, | |
| "loss": 0.4316, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 19.67, | |
| "learning_rate": 6.160818713450292e-05, | |
| "loss": 0.4475, | |
| "step": 59 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "learning_rate": 6.140350877192981e-05, | |
| "loss": 0.4733, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy_dropoff": 0.42558641762584143, | |
| "eval_accuracy_undropoff": 0.987872440296196, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.33826825716385683, | |
| "eval_iou_undropoff": 0.9622649725509712, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.43790048360824585, | |
| "eval_mean_accuracy": 0.7067294289610188, | |
| "eval_mean_iou": 0.4335110765716093, | |
| "eval_overall_accuracy": 0.9629755655924479, | |
| "eval_runtime": 1.7742, | |
| "eval_samples_per_second": 8.455, | |
| "eval_steps_per_second": 0.564, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 20.33, | |
| "learning_rate": 6.119883040935672e-05, | |
| "loss": 0.423, | |
| "step": 61 | |
| }, | |
| { | |
| "epoch": 20.67, | |
| "learning_rate": 6.0994152046783624e-05, | |
| "loss": 0.4219, | |
| "step": 62 | |
| }, | |
| { | |
| "epoch": 21.0, | |
| "learning_rate": 6.0789473684210525e-05, | |
| "loss": 0.6326, | |
| "step": 63 | |
| }, | |
| { | |
| "epoch": 21.33, | |
| "learning_rate": 6.058479532163742e-05, | |
| "loss": 0.4299, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 21.67, | |
| "learning_rate": 6.038011695906432e-05, | |
| "loss": 0.4147, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 22.0, | |
| "learning_rate": 6.0175438596491224e-05, | |
| "loss": 0.4815, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 22.33, | |
| "learning_rate": 5.9970760233918126e-05, | |
| "loss": 0.4477, | |
| "step": 67 | |
| }, | |
| { | |
| "epoch": 22.67, | |
| "learning_rate": 5.976608187134502e-05, | |
| "loss": 0.4031, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 23.0, | |
| "learning_rate": 5.956140350877192e-05, | |
| "loss": 0.6048, | |
| "step": 69 | |
| }, | |
| { | |
| "epoch": 23.33, | |
| "learning_rate": 5.9356725146198824e-05, | |
| "loss": 0.3843, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 23.33, | |
| "eval_accuracy_dropoff": 0.3821076573161486, | |
| "eval_accuracy_undropoff": 0.992239862567096, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.328346864743479, | |
| "eval_iou_undropoff": 0.9646259654307497, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.4072829484939575, | |
| "eval_mean_accuracy": 0.6871737599416223, | |
| "eval_mean_iou": 0.4309909433914096, | |
| "eval_overall_accuracy": 0.9652244567871093, | |
| "eval_runtime": 1.8122, | |
| "eval_samples_per_second": 8.277, | |
| "eval_steps_per_second": 0.552, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 23.67, | |
| "learning_rate": 5.9152046783625726e-05, | |
| "loss": 0.3967, | |
| "step": 71 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "learning_rate": 5.894736842105262e-05, | |
| "loss": 0.4051, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 24.33, | |
| "learning_rate": 5.874269005847952e-05, | |
| "loss": 0.3836, | |
| "step": 73 | |
| }, | |
| { | |
| "epoch": 24.67, | |
| "learning_rate": 5.853801169590643e-05, | |
| "loss": 0.3896, | |
| "step": 74 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "learning_rate": 5.833333333333333e-05, | |
| "loss": 0.5942, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 25.33, | |
| "learning_rate": 5.812865497076023e-05, | |
| "loss": 0.3688, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 25.67, | |
| "learning_rate": 5.792397660818713e-05, | |
| "loss": 0.3721, | |
| "step": 77 | |
| }, | |
| { | |
| "epoch": 26.0, | |
| "learning_rate": 5.771929824561403e-05, | |
| "loss": 0.5951, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 26.33, | |
| "learning_rate": 5.751461988304093e-05, | |
| "loss": 0.3973, | |
| "step": 79 | |
| }, | |
| { | |
| "epoch": 26.67, | |
| "learning_rate": 5.730994152046783e-05, | |
| "loss": 0.3579, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 26.67, | |
| "eval_accuracy_dropoff": 0.40901049923036276, | |
| "eval_accuracy_undropoff": 0.9908359437282933, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.34181486548107615, | |
| "eval_iou_undropoff": 0.9644297203691943, | |
| "eval_iou_unlabeled": 0.0, | |
| "eval_loss": 0.3731442093849182, | |
| "eval_mean_accuracy": 0.6999232214793281, | |
| "eval_mean_iou": 0.43541486195009016, | |
| "eval_overall_accuracy": 0.9650739034016927, | |
| "eval_runtime": 1.7608, | |
| "eval_samples_per_second": 8.519, | |
| "eval_steps_per_second": 0.568, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 27.0, | |
| "learning_rate": 5.710526315789473e-05, | |
| "loss": 0.416, | |
| "step": 81 | |
| }, | |
| { | |
| "epoch": 27.33, | |
| "learning_rate": 5.690058479532163e-05, | |
| "loss": 0.3931, | |
| "step": 82 | |
| }, | |
| { | |
| "epoch": 27.67, | |
| "learning_rate": 5.669590643274853e-05, | |
| "loss": 0.3753, | |
| "step": 83 | |
| }, | |
| { | |
| "epoch": 28.0, | |
| "learning_rate": 5.649122807017543e-05, | |
| "loss": 0.3469, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 28.33, | |
| "learning_rate": 5.628654970760233e-05, | |
| "loss": 0.3548, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 28.67, | |
| "learning_rate": 5.608187134502924e-05, | |
| "loss": 0.3347, | |
| "step": 86 | |
| }, | |
| { | |
| "epoch": 29.0, | |
| "learning_rate": 5.587719298245614e-05, | |
| "loss": 0.5499, | |
| "step": 87 | |
| }, | |
| { | |
| "epoch": 29.33, | |
| "learning_rate": 5.5672514619883035e-05, | |
| "loss": 0.3353, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 29.67, | |
| "learning_rate": 5.546783625730994e-05, | |
| "loss": 0.3393, | |
| "step": 89 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "learning_rate": 5.526315789473684e-05, | |
| "loss": 0.3212, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "eval_accuracy_dropoff": 0.43656236359041517, | |
| "eval_accuracy_undropoff": 0.9891638008202122, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.3538083423714455, | |
| "eval_iou_undropoff": 0.9639998537401673, | |
| "eval_iou_unlabeled": NaN, | |
| "eval_loss": 0.3654923737049103, | |
| "eval_mean_accuracy": 0.7128630822053137, | |
| "eval_mean_iou": 0.6589040980558064, | |
| "eval_overall_accuracy": 0.9646957397460938, | |
| "eval_runtime": 1.7507, | |
| "eval_samples_per_second": 8.568, | |
| "eval_steps_per_second": 0.571, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 30.33, | |
| "learning_rate": 5.505847953216374e-05, | |
| "loss": 0.3282, | |
| "step": 91 | |
| }, | |
| { | |
| "epoch": 30.67, | |
| "learning_rate": 5.4853801169590635e-05, | |
| "loss": 0.341, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 31.0, | |
| "learning_rate": 5.464912280701754e-05, | |
| "loss": 0.5022, | |
| "step": 93 | |
| }, | |
| { | |
| "epoch": 31.33, | |
| "learning_rate": 5.444444444444444e-05, | |
| "loss": 0.3242, | |
| "step": 94 | |
| }, | |
| { | |
| "epoch": 31.67, | |
| "learning_rate": 5.423976608187134e-05, | |
| "loss": 0.3237, | |
| "step": 95 | |
| }, | |
| { | |
| "epoch": 32.0, | |
| "learning_rate": 5.4035087719298236e-05, | |
| "loss": 0.3377, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 32.33, | |
| "learning_rate": 5.383040935672514e-05, | |
| "loss": 0.3189, | |
| "step": 97 | |
| }, | |
| { | |
| "epoch": 32.67, | |
| "learning_rate": 5.3625730994152046e-05, | |
| "loss": 0.31, | |
| "step": 98 | |
| }, | |
| { | |
| "epoch": 33.0, | |
| "learning_rate": 5.342105263157895e-05, | |
| "loss": 0.4947, | |
| "step": 99 | |
| }, | |
| { | |
| "epoch": 33.33, | |
| "learning_rate": 5.321637426900584e-05, | |
| "loss": 0.3088, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 33.33, | |
| "eval_accuracy_dropoff": 0.34505019872722675, | |
| "eval_accuracy_undropoff": 0.9927792377540279, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.2985231857844209, | |
| "eval_iou_undropoff": 0.9635421132392789, | |
| "eval_iou_unlabeled": NaN, | |
| "eval_loss": 0.3305789530277252, | |
| "eval_mean_accuracy": 0.6689147182406273, | |
| "eval_mean_iou": 0.6310326495118499, | |
| "eval_overall_accuracy": 0.96409912109375, | |
| "eval_runtime": 1.6777, | |
| "eval_samples_per_second": 8.941, | |
| "eval_steps_per_second": 0.596, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 33.67, | |
| "learning_rate": 5.3011695906432744e-05, | |
| "loss": 0.3057, | |
| "step": 101 | |
| }, | |
| { | |
| "epoch": 34.0, | |
| "learning_rate": 5.2807017543859646e-05, | |
| "loss": 0.4575, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 34.33, | |
| "learning_rate": 5.260233918128655e-05, | |
| "loss": 0.3011, | |
| "step": 103 | |
| }, | |
| { | |
| "epoch": 34.67, | |
| "learning_rate": 5.239766081871344e-05, | |
| "loss": 0.3063, | |
| "step": 104 | |
| }, | |
| { | |
| "epoch": 35.0, | |
| "learning_rate": 5.2192982456140345e-05, | |
| "loss": 0.2768, | |
| "step": 105 | |
| }, | |
| { | |
| "epoch": 35.33, | |
| "learning_rate": 5.1988304093567246e-05, | |
| "loss": 0.3065, | |
| "step": 106 | |
| }, | |
| { | |
| "epoch": 35.67, | |
| "learning_rate": 5.178362573099415e-05, | |
| "loss": 0.2841, | |
| "step": 107 | |
| }, | |
| { | |
| "epoch": 36.0, | |
| "learning_rate": 5.157894736842104e-05, | |
| "loss": 0.4367, | |
| "step": 108 | |
| }, | |
| { | |
| "epoch": 36.33, | |
| "learning_rate": 5.1374269005847945e-05, | |
| "loss": 0.2944, | |
| "step": 109 | |
| }, | |
| { | |
| "epoch": 36.67, | |
| "learning_rate": 5.1169590643274853e-05, | |
| "loss": 0.2825, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 36.67, | |
| "eval_accuracy_dropoff": 0.42931398901831047, | |
| "eval_accuracy_undropoff": 0.9912175243982787, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.3608996055293487, | |
| "eval_iou_undropoff": 0.9656852921893507, | |
| "eval_iou_unlabeled": NaN, | |
| "eval_loss": 0.3253430724143982, | |
| "eval_mean_accuracy": 0.7102657567082946, | |
| "eval_mean_iou": 0.6632924488593497, | |
| "eval_overall_accuracy": 0.9663375854492188, | |
| "eval_runtime": 1.7624, | |
| "eval_samples_per_second": 8.511, | |
| "eval_steps_per_second": 0.567, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 37.0, | |
| "learning_rate": 5.0964912280701755e-05, | |
| "loss": 0.292, | |
| "step": 111 | |
| }, | |
| { | |
| "epoch": 37.33, | |
| "learning_rate": 5.076023391812865e-05, | |
| "loss": 0.2868, | |
| "step": 112 | |
| }, | |
| { | |
| "epoch": 37.67, | |
| "learning_rate": 5.055555555555555e-05, | |
| "loss": 0.2897, | |
| "step": 113 | |
| }, | |
| { | |
| "epoch": 38.0, | |
| "learning_rate": 5.0350877192982454e-05, | |
| "loss": 0.4326, | |
| "step": 114 | |
| }, | |
| { | |
| "epoch": 38.33, | |
| "learning_rate": 5.0146198830409355e-05, | |
| "loss": 0.2754, | |
| "step": 115 | |
| }, | |
| { | |
| "epoch": 38.67, | |
| "learning_rate": 4.994152046783625e-05, | |
| "loss": 0.3155, | |
| "step": 116 | |
| }, | |
| { | |
| "epoch": 39.0, | |
| "learning_rate": 4.973684210526315e-05, | |
| "loss": 0.2995, | |
| "step": 117 | |
| }, | |
| { | |
| "epoch": 39.33, | |
| "learning_rate": 4.9532163742690054e-05, | |
| "loss": 0.2727, | |
| "step": 118 | |
| }, | |
| { | |
| "epoch": 39.67, | |
| "learning_rate": 4.9327485380116956e-05, | |
| "loss": 0.2645, | |
| "step": 119 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "learning_rate": 4.912280701754385e-05, | |
| "loss": 0.3029, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "eval_accuracy_dropoff": 0.42643646472304547, | |
| "eval_accuracy_undropoff": 0.9894596988014003, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.34740009077339873, | |
| "eval_iou_undropoff": 0.9638475611431463, | |
| "eval_iou_unlabeled": NaN, | |
| "eval_loss": 0.3130444884300232, | |
| "eval_mean_accuracy": 0.7079480817622229, | |
| "eval_mean_iou": 0.6556238259582725, | |
| "eval_overall_accuracy": 0.9645301818847656, | |
| "eval_runtime": 1.7686, | |
| "eval_samples_per_second": 8.481, | |
| "eval_steps_per_second": 0.565, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 40.33, | |
| "learning_rate": 4.891812865497075e-05, | |
| "loss": 0.2717, | |
| "step": 121 | |
| }, | |
| { | |
| "epoch": 40.67, | |
| "learning_rate": 4.871345029239766e-05, | |
| "loss": 0.2581, | |
| "step": 122 | |
| }, | |
| { | |
| "epoch": 41.0, | |
| "learning_rate": 4.850877192982456e-05, | |
| "loss": 0.4004, | |
| "step": 123 | |
| }, | |
| { | |
| "epoch": 41.33, | |
| "learning_rate": 4.830409356725146e-05, | |
| "loss": 0.2551, | |
| "step": 124 | |
| }, | |
| { | |
| "epoch": 41.67, | |
| "learning_rate": 4.809941520467836e-05, | |
| "loss": 0.2635, | |
| "step": 125 | |
| }, | |
| { | |
| "epoch": 42.0, | |
| "learning_rate": 4.789473684210526e-05, | |
| "loss": 0.2444, | |
| "step": 126 | |
| }, | |
| { | |
| "epoch": 42.33, | |
| "learning_rate": 4.769005847953216e-05, | |
| "loss": 0.2535, | |
| "step": 127 | |
| }, | |
| { | |
| "epoch": 42.67, | |
| "learning_rate": 4.748538011695906e-05, | |
| "loss": 0.2552, | |
| "step": 128 | |
| }, | |
| { | |
| "epoch": 43.0, | |
| "learning_rate": 4.728070175438596e-05, | |
| "loss": 0.3605, | |
| "step": 129 | |
| }, | |
| { | |
| "epoch": 43.33, | |
| "learning_rate": 4.707602339181286e-05, | |
| "loss": 0.252, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 43.33, | |
| "eval_accuracy_dropoff": 0.4739644358673927, | |
| "eval_accuracy_undropoff": 0.9879597195568343, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.37619668484108026, | |
| "eval_iou_undropoff": 0.9644551086478499, | |
| "eval_iou_unlabeled": NaN, | |
| "eval_loss": 0.28977030515670776, | |
| "eval_mean_accuracy": 0.7309620777121135, | |
| "eval_mean_iou": 0.6703258967444651, | |
| "eval_overall_accuracy": 0.9652010599772135, | |
| "eval_runtime": 1.7093, | |
| "eval_samples_per_second": 8.775, | |
| "eval_steps_per_second": 0.585, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 43.67, | |
| "learning_rate": 4.687134502923976e-05, | |
| "loss": 0.2414, | |
| "step": 131 | |
| }, | |
| { | |
| "epoch": 44.0, | |
| "learning_rate": 4.666666666666666e-05, | |
| "loss": 0.3671, | |
| "step": 132 | |
| }, | |
| { | |
| "epoch": 44.33, | |
| "learning_rate": 4.646198830409356e-05, | |
| "loss": 0.245, | |
| "step": 133 | |
| }, | |
| { | |
| "epoch": 44.67, | |
| "learning_rate": 4.625730994152047e-05, | |
| "loss": 0.2705, | |
| "step": 134 | |
| }, | |
| { | |
| "epoch": 45.0, | |
| "learning_rate": 4.605263157894737e-05, | |
| "loss": 0.2488, | |
| "step": 135 | |
| }, | |
| { | |
| "epoch": 45.33, | |
| "learning_rate": 4.5847953216374265e-05, | |
| "loss": 0.2472, | |
| "step": 136 | |
| }, | |
| { | |
| "epoch": 45.67, | |
| "learning_rate": 4.564327485380117e-05, | |
| "loss": 0.2355, | |
| "step": 137 | |
| }, | |
| { | |
| "epoch": 46.0, | |
| "learning_rate": 4.543859649122807e-05, | |
| "loss": 0.2335, | |
| "step": 138 | |
| }, | |
| { | |
| "epoch": 46.33, | |
| "learning_rate": 4.523391812865497e-05, | |
| "loss": 0.2386, | |
| "step": 139 | |
| }, | |
| { | |
| "epoch": 46.67, | |
| "learning_rate": 4.5029239766081865e-05, | |
| "loss": 0.2395, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 46.67, | |
| "eval_accuracy_dropoff": 0.4275105107174857, | |
| "eval_accuracy_undropoff": 0.990174696890836, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.35270954168088253, | |
| "eval_iou_undropoff": 0.9645908069700111, | |
| "eval_iou_unlabeled": NaN, | |
| "eval_loss": 0.2842903435230255, | |
| "eval_mean_accuracy": 0.7088426038041609, | |
| "eval_mean_iou": 0.6586501743254468, | |
| "eval_overall_accuracy": 0.9652610778808594, | |
| "eval_runtime": 1.7483, | |
| "eval_samples_per_second": 8.58, | |
| "eval_steps_per_second": 0.572, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 47.0, | |
| "learning_rate": 4.482456140350877e-05, | |
| "loss": 0.2558, | |
| "step": 141 | |
| }, | |
| { | |
| "epoch": 47.33, | |
| "learning_rate": 4.461988304093567e-05, | |
| "loss": 0.2299, | |
| "step": 142 | |
| }, | |
| { | |
| "epoch": 47.67, | |
| "learning_rate": 4.441520467836257e-05, | |
| "loss": 0.2289, | |
| "step": 143 | |
| }, | |
| { | |
| "epoch": 48.0, | |
| "learning_rate": 4.4210526315789466e-05, | |
| "loss": 0.3324, | |
| "step": 144 | |
| }, | |
| { | |
| "epoch": 48.33, | |
| "learning_rate": 4.400584795321637e-05, | |
| "loss": 0.2302, | |
| "step": 145 | |
| }, | |
| { | |
| "epoch": 48.67, | |
| "learning_rate": 4.3801169590643276e-05, | |
| "loss": 0.2306, | |
| "step": 146 | |
| }, | |
| { | |
| "epoch": 49.0, | |
| "learning_rate": 4.359649122807018e-05, | |
| "loss": 0.2666, | |
| "step": 147 | |
| }, | |
| { | |
| "epoch": 49.33, | |
| "learning_rate": 4.339181286549707e-05, | |
| "loss": 0.2229, | |
| "step": 148 | |
| }, | |
| { | |
| "epoch": 49.67, | |
| "learning_rate": 4.3187134502923974e-05, | |
| "loss": 0.2251, | |
| "step": 149 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "learning_rate": 4.2982456140350876e-05, | |
| "loss": 0.2308, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "eval_accuracy_dropoff": 0.3811197647437223, | |
| "eval_accuracy_undropoff": 0.9929697619937138, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.33090640708529484, | |
| "eval_iou_undropoff": 0.9652926014872973, | |
| "eval_iou_unlabeled": NaN, | |
| "eval_loss": 0.27435046434402466, | |
| "eval_mean_accuracy": 0.687044763368718, | |
| "eval_mean_iou": 0.648099504286296, | |
| "eval_overall_accuracy": 0.9658782958984375, | |
| "eval_runtime": 1.6671, | |
| "eval_samples_per_second": 8.998, | |
| "eval_steps_per_second": 0.6, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 50.33, | |
| "learning_rate": 4.277777777777778e-05, | |
| "loss": 0.2302, | |
| "step": 151 | |
| }, | |
| { | |
| "epoch": 50.67, | |
| "learning_rate": 4.257309941520467e-05, | |
| "loss": 0.2153, | |
| "step": 152 | |
| }, | |
| { | |
| "epoch": 51.0, | |
| "learning_rate": 4.2368421052631575e-05, | |
| "loss": 0.2086, | |
| "step": 153 | |
| }, | |
| { | |
| "epoch": 51.33, | |
| "learning_rate": 4.2163742690058476e-05, | |
| "loss": 0.2267, | |
| "step": 154 | |
| }, | |
| { | |
| "epoch": 51.67, | |
| "learning_rate": 4.195906432748538e-05, | |
| "loss": 0.2051, | |
| "step": 155 | |
| }, | |
| { | |
| "epoch": 52.0, | |
| "learning_rate": 4.175438596491227e-05, | |
| "loss": 0.3191, | |
| "step": 156 | |
| }, | |
| { | |
| "epoch": 52.33, | |
| "learning_rate": 4.1549707602339175e-05, | |
| "loss": 0.2112, | |
| "step": 157 | |
| }, | |
| { | |
| "epoch": 52.67, | |
| "learning_rate": 4.1345029239766077e-05, | |
| "loss": 0.2164, | |
| "step": 158 | |
| }, | |
| { | |
| "epoch": 53.0, | |
| "learning_rate": 4.1140350877192985e-05, | |
| "loss": 0.2079, | |
| "step": 159 | |
| }, | |
| { | |
| "epoch": 53.33, | |
| "learning_rate": 4.093567251461988e-05, | |
| "loss": 0.2125, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 53.33, | |
| "eval_accuracy_dropoff": 0.41470811220621684, | |
| "eval_accuracy_undropoff": 0.9908596262106006, | |
| "eval_accuracy_unlabeled": NaN, | |
| "eval_iou_dropoff": 0.3463719310364678, | |
| "eval_iou_undropoff": 0.9647006338932361, | |
| "eval_iou_unlabeled": NaN, | |
| "eval_loss": 0.2579088807106018, | |
| "eval_mean_accuracy": 0.7027838692084087, | |
| "eval_mean_iou": 0.655536282464852, | |
| "eval_overall_accuracy": 0.9653488159179687, | |
| "eval_runtime": 1.6718, | |
| "eval_samples_per_second": 8.973, | |
| "eval_steps_per_second": 0.598, | |
| "step": 160 | |
| } | |
| ], | |
| "max_steps": 360, | |
| "num_train_epochs": 120, | |
| "total_flos": 3.186802778701824e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |