|
{ |
|
"best_metric": 0.15378497540950775, |
|
"best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/dropoff-utcustom-train-SF-RGB-b0_7/checkpoint-280", |
|
"epoch": 93.33333333333333, |
|
"global_step": 280, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.33, |
|
"learning_rate": 5e-06, |
|
"loss": 1.2178, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.67, |
|
"learning_rate": 1e-05, |
|
"loss": 1.2142, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"learning_rate": 1.5e-05, |
|
"loss": 1.2223, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 1.33, |
|
"learning_rate": 2e-05, |
|
"loss": 1.208, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 1.67, |
|
"learning_rate": 2.5e-05, |
|
"loss": 1.2072, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 3e-05, |
|
"loss": 1.2015, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 2.33, |
|
"learning_rate": 3.5000000000000004e-05, |
|
"loss": 1.1888, |
|
"step": 7 |
|
}, |
|
{ |
|
"epoch": 2.67, |
|
"learning_rate": 4e-05, |
|
"loss": 1.1768, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"learning_rate": 4.5e-05, |
|
"loss": 1.1543, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 3.33, |
|
"learning_rate": 5e-05, |
|
"loss": 1.1505, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 3.33, |
|
"eval_accuracy_dropoff": 0.9456199600248122, |
|
"eval_accuracy_undropoff": 0.2616499186280552, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.07032648592680048, |
|
"eval_iou_undropoff": 0.2615922132145178, |
|
"eval_iou_unlabeled": 0.0, |
|
"eval_loss": 1.1103304624557495, |
|
"eval_mean_accuracy": 0.6036349393264338, |
|
"eval_mean_iou": 0.11063956638043942, |
|
"eval_overall_accuracy": 0.2919347127278646, |
|
"eval_runtime": 1.7484, |
|
"eval_samples_per_second": 8.579, |
|
"eval_steps_per_second": 0.572, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 3.67, |
|
"learning_rate": 5.500000000000001e-05, |
|
"loss": 1.1405, |
|
"step": 11 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"learning_rate": 6e-05, |
|
"loss": 1.1039, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 4.33, |
|
"learning_rate": 6.500000000000001e-05, |
|
"loss": 1.1211, |
|
"step": 13 |
|
}, |
|
{ |
|
"epoch": 4.67, |
|
"learning_rate": 7.000000000000001e-05, |
|
"loss": 1.0914, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"learning_rate": 7.500000000000001e-05, |
|
"loss": 1.0583, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 5.33, |
|
"learning_rate": 8e-05, |
|
"loss": 1.0527, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 5.67, |
|
"learning_rate": 8.5e-05, |
|
"loss": 1.0227, |
|
"step": 17 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"learning_rate": 9e-05, |
|
"loss": 1.1078, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 6.33, |
|
"learning_rate": 8.973684210526316e-05, |
|
"loss": 1.0001, |
|
"step": 19 |
|
}, |
|
{ |
|
"epoch": 6.67, |
|
"learning_rate": 8.947368421052632e-05, |
|
"loss": 0.9635, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 6.67, |
|
"eval_accuracy_dropoff": 0.8177051025800078, |
|
"eval_accuracy_undropoff": 0.8763050644323176, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.2434656953279978, |
|
"eval_iou_undropoff": 0.8694137027963167, |
|
"eval_iou_unlabeled": 0.0, |
|
"eval_loss": 1.0114336013793945, |
|
"eval_mean_accuracy": 0.8470050835061627, |
|
"eval_mean_iou": 0.3709597993747715, |
|
"eval_overall_accuracy": 0.8737103780110677, |
|
"eval_runtime": 1.7139, |
|
"eval_samples_per_second": 8.752, |
|
"eval_steps_per_second": 0.583, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"learning_rate": 8.921052631578948e-05, |
|
"loss": 1.0405, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 7.33, |
|
"learning_rate": 8.894736842105263e-05, |
|
"loss": 0.9095, |
|
"step": 22 |
|
}, |
|
{ |
|
"epoch": 7.67, |
|
"learning_rate": 8.86842105263158e-05, |
|
"loss": 0.9104, |
|
"step": 23 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"learning_rate": 8.842105263157894e-05, |
|
"loss": 0.8736, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 8.33, |
|
"learning_rate": 8.815789473684211e-05, |
|
"loss": 0.8849, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 8.67, |
|
"learning_rate": 8.789473684210527e-05, |
|
"loss": 0.8143, |
|
"step": 26 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"learning_rate": 8.763157894736843e-05, |
|
"loss": 0.7846, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 9.33, |
|
"learning_rate": 8.736842105263158e-05, |
|
"loss": 0.7748, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 9.67, |
|
"learning_rate": 8.710526315789474e-05, |
|
"loss": 0.7513, |
|
"step": 29 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"learning_rate": 8.68421052631579e-05, |
|
"loss": 0.9358, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_accuracy_dropoff": 0.5848209157534404, |
|
"eval_accuracy_undropoff": 0.9605968730608304, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.3193744373731639, |
|
"eval_iou_undropoff": 0.9425019881457949, |
|
"eval_iou_unlabeled": 0.0, |
|
"eval_loss": 0.8242360353469849, |
|
"eval_mean_accuracy": 0.7727088944071354, |
|
"eval_mean_iou": 0.42062547517298626, |
|
"eval_overall_accuracy": 0.9439582824707031, |
|
"eval_runtime": 1.7189, |
|
"eval_samples_per_second": 8.726, |
|
"eval_steps_per_second": 0.582, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 10.33, |
|
"learning_rate": 8.657894736842107e-05, |
|
"loss": 0.7191, |
|
"step": 31 |
|
}, |
|
{ |
|
"epoch": 10.67, |
|
"learning_rate": 8.631578947368421e-05, |
|
"loss": 0.73, |
|
"step": 32 |
|
}, |
|
{ |
|
"epoch": 11.0, |
|
"learning_rate": 8.605263157894737e-05, |
|
"loss": 0.6168, |
|
"step": 33 |
|
}, |
|
{ |
|
"epoch": 11.33, |
|
"learning_rate": 8.578947368421054e-05, |
|
"loss": 0.6559, |
|
"step": 34 |
|
}, |
|
{ |
|
"epoch": 11.67, |
|
"learning_rate": 8.552631578947369e-05, |
|
"loss": 0.6277, |
|
"step": 35 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"learning_rate": 8.526315789473684e-05, |
|
"loss": 0.6168, |
|
"step": 36 |
|
}, |
|
{ |
|
"epoch": 12.33, |
|
"learning_rate": 8.5e-05, |
|
"loss": 0.6095, |
|
"step": 37 |
|
}, |
|
{ |
|
"epoch": 12.67, |
|
"learning_rate": 8.473684210526316e-05, |
|
"loss": 0.5927, |
|
"step": 38 |
|
}, |
|
{ |
|
"epoch": 13.0, |
|
"learning_rate": 8.447368421052632e-05, |
|
"loss": 0.8162, |
|
"step": 39 |
|
}, |
|
{ |
|
"epoch": 13.33, |
|
"learning_rate": 8.421052631578948e-05, |
|
"loss": 0.579, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 13.33, |
|
"eval_accuracy_dropoff": 0.5401589817814231, |
|
"eval_accuracy_undropoff": 0.982923599779886, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.3951496002117638, |
|
"eval_iou_undropoff": 0.9624271055937778, |
|
"eval_iou_unlabeled": 0.0, |
|
"eval_loss": 0.5702608823776245, |
|
"eval_mean_accuracy": 0.7615412907806545, |
|
"eval_mean_iou": 0.4525255686018472, |
|
"eval_overall_accuracy": 0.9633188883463542, |
|
"eval_runtime": 1.8153, |
|
"eval_samples_per_second": 8.263, |
|
"eval_steps_per_second": 0.551, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 13.67, |
|
"learning_rate": 8.394736842105263e-05, |
|
"loss": 0.5659, |
|
"step": 41 |
|
}, |
|
{ |
|
"epoch": 14.0, |
|
"learning_rate": 8.368421052631579e-05, |
|
"loss": 0.5447, |
|
"step": 42 |
|
}, |
|
{ |
|
"epoch": 14.33, |
|
"learning_rate": 8.342105263157896e-05, |
|
"loss": 0.5265, |
|
"step": 43 |
|
}, |
|
{ |
|
"epoch": 14.67, |
|
"learning_rate": 8.31578947368421e-05, |
|
"loss": 0.5263, |
|
"step": 44 |
|
}, |
|
{ |
|
"epoch": 15.0, |
|
"learning_rate": 8.289473684210527e-05, |
|
"loss": 0.4922, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 15.33, |
|
"learning_rate": 8.263157894736843e-05, |
|
"loss": 0.5099, |
|
"step": 46 |
|
}, |
|
{ |
|
"epoch": 15.67, |
|
"learning_rate": 8.236842105263158e-05, |
|
"loss": 0.4706, |
|
"step": 47 |
|
}, |
|
{ |
|
"epoch": 16.0, |
|
"learning_rate": 8.210526315789474e-05, |
|
"loss": 0.4809, |
|
"step": 48 |
|
}, |
|
{ |
|
"epoch": 16.33, |
|
"learning_rate": 8.18421052631579e-05, |
|
"loss": 0.4888, |
|
"step": 49 |
|
}, |
|
{ |
|
"epoch": 16.67, |
|
"learning_rate": 8.157894736842105e-05, |
|
"loss": 0.4411, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 16.67, |
|
"eval_accuracy_dropoff": 0.48720334505019874, |
|
"eval_accuracy_undropoff": 0.9888639114094216, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.39281844198905264, |
|
"eval_iou_undropoff": 0.9659161382921264, |
|
"eval_iou_unlabeled": 0.0, |
|
"eval_loss": 0.4165554940700531, |
|
"eval_mean_accuracy": 0.7380336282298102, |
|
"eval_mean_iou": 0.452911526760393, |
|
"eval_overall_accuracy": 0.9666514078776042, |
|
"eval_runtime": 1.7457, |
|
"eval_samples_per_second": 8.593, |
|
"eval_steps_per_second": 0.573, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 17.0, |
|
"learning_rate": 8.131578947368422e-05, |
|
"loss": 0.4717, |
|
"step": 51 |
|
}, |
|
{ |
|
"epoch": 17.33, |
|
"learning_rate": 8.105263157894737e-05, |
|
"loss": 0.4523, |
|
"step": 52 |
|
}, |
|
{ |
|
"epoch": 17.67, |
|
"learning_rate": 8.078947368421052e-05, |
|
"loss": 0.4215, |
|
"step": 53 |
|
}, |
|
{ |
|
"epoch": 18.0, |
|
"learning_rate": 8.05263157894737e-05, |
|
"loss": 0.4007, |
|
"step": 54 |
|
}, |
|
{ |
|
"epoch": 18.33, |
|
"learning_rate": 8.026315789473685e-05, |
|
"loss": 0.4253, |
|
"step": 55 |
|
}, |
|
{ |
|
"epoch": 18.67, |
|
"learning_rate": 8e-05, |
|
"loss": 0.4153, |
|
"step": 56 |
|
}, |
|
{ |
|
"epoch": 19.0, |
|
"learning_rate": 7.973684210526316e-05, |
|
"loss": 0.6574, |
|
"step": 57 |
|
}, |
|
{ |
|
"epoch": 19.33, |
|
"learning_rate": 7.947368421052632e-05, |
|
"loss": 0.3899, |
|
"step": 58 |
|
}, |
|
{ |
|
"epoch": 19.67, |
|
"learning_rate": 7.921052631578948e-05, |
|
"loss": 0.4108, |
|
"step": 59 |
|
}, |
|
{ |
|
"epoch": 20.0, |
|
"learning_rate": 7.894736842105263e-05, |
|
"loss": 0.4311, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 20.0, |
|
"eval_accuracy_dropoff": 0.44003721827831, |
|
"eval_accuracy_undropoff": 0.9911496700950386, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.3694591258053316, |
|
"eval_iou_undropoff": 0.966086774739557, |
|
"eval_iou_unlabeled": NaN, |
|
"eval_loss": 0.38426053524017334, |
|
"eval_mean_accuracy": 0.7155934441866743, |
|
"eval_mean_iou": 0.6677729502724443, |
|
"eval_overall_accuracy": 0.966747538248698, |
|
"eval_runtime": 1.8089, |
|
"eval_samples_per_second": 8.292, |
|
"eval_steps_per_second": 0.553, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 20.33, |
|
"learning_rate": 7.868421052631579e-05, |
|
"loss": 0.3803, |
|
"step": 61 |
|
}, |
|
{ |
|
"epoch": 20.67, |
|
"learning_rate": 7.842105263157896e-05, |
|
"loss": 0.3828, |
|
"step": 62 |
|
}, |
|
{ |
|
"epoch": 21.0, |
|
"learning_rate": 7.815789473684212e-05, |
|
"loss": 0.5699, |
|
"step": 63 |
|
}, |
|
{ |
|
"epoch": 21.33, |
|
"learning_rate": 7.789473684210526e-05, |
|
"loss": 0.3803, |
|
"step": 64 |
|
}, |
|
{ |
|
"epoch": 21.67, |
|
"learning_rate": 7.763157894736843e-05, |
|
"loss": 0.3709, |
|
"step": 65 |
|
}, |
|
{ |
|
"epoch": 22.0, |
|
"learning_rate": 7.736842105263159e-05, |
|
"loss": 0.4738, |
|
"step": 66 |
|
}, |
|
{ |
|
"epoch": 22.33, |
|
"learning_rate": 7.710526315789474e-05, |
|
"loss": 0.3891, |
|
"step": 67 |
|
}, |
|
{ |
|
"epoch": 22.67, |
|
"learning_rate": 7.68421052631579e-05, |
|
"loss": 0.3576, |
|
"step": 68 |
|
}, |
|
{ |
|
"epoch": 23.0, |
|
"learning_rate": 7.657894736842105e-05, |
|
"loss": 0.5494, |
|
"step": 69 |
|
}, |
|
{ |
|
"epoch": 23.33, |
|
"learning_rate": 7.631578947368421e-05, |
|
"loss": 0.3437, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 23.33, |
|
"eval_accuracy_dropoff": 0.39948767431709054, |
|
"eval_accuracy_undropoff": 0.9917728653036201, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.33924477871099273, |
|
"eval_iou_undropoff": 0.9649275553674269, |
|
"eval_iou_unlabeled": 0.0, |
|
"eval_loss": 0.35898175835609436, |
|
"eval_mean_accuracy": 0.6956302698103554, |
|
"eval_mean_iou": 0.43472411135947325, |
|
"eval_overall_accuracy": 0.9655476888020833, |
|
"eval_runtime": 1.8305, |
|
"eval_samples_per_second": 8.195, |
|
"eval_steps_per_second": 0.546, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 23.67, |
|
"learning_rate": 7.605263157894738e-05, |
|
"loss": 0.3447, |
|
"step": 71 |
|
}, |
|
{ |
|
"epoch": 24.0, |
|
"learning_rate": 7.578947368421052e-05, |
|
"loss": 0.3733, |
|
"step": 72 |
|
}, |
|
{ |
|
"epoch": 24.33, |
|
"learning_rate": 7.55263157894737e-05, |
|
"loss": 0.3481, |
|
"step": 73 |
|
}, |
|
{ |
|
"epoch": 24.67, |
|
"learning_rate": 7.526315789473685e-05, |
|
"loss": 0.3377, |
|
"step": 74 |
|
}, |
|
{ |
|
"epoch": 25.0, |
|
"learning_rate": 7.500000000000001e-05, |
|
"loss": 0.5311, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 25.33, |
|
"learning_rate": 7.473684210526316e-05, |
|
"loss": 0.3228, |
|
"step": 76 |
|
}, |
|
{ |
|
"epoch": 25.67, |
|
"learning_rate": 7.447368421052632e-05, |
|
"loss": 0.3248, |
|
"step": 77 |
|
}, |
|
{ |
|
"epoch": 26.0, |
|
"learning_rate": 7.421052631578948e-05, |
|
"loss": 0.5215, |
|
"step": 78 |
|
}, |
|
{ |
|
"epoch": 26.33, |
|
"learning_rate": 7.394736842105263e-05, |
|
"loss": 0.3395, |
|
"step": 79 |
|
}, |
|
{ |
|
"epoch": 26.67, |
|
"learning_rate": 7.368421052631579e-05, |
|
"loss": 0.3136, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 26.67, |
|
"eval_accuracy_dropoff": 0.33123693339766125, |
|
"eval_accuracy_undropoff": 0.9931389986088537, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.2885107958297481, |
|
"eval_iou_undropoff": 0.9632929658594979, |
|
"eval_iou_unlabeled": NaN, |
|
"eval_loss": 0.31975847482681274, |
|
"eval_mean_accuracy": 0.6621879660032575, |
|
"eval_mean_iou": 0.625901880844623, |
|
"eval_overall_accuracy": 0.9638313293457031, |
|
"eval_runtime": 1.7647, |
|
"eval_samples_per_second": 8.5, |
|
"eval_steps_per_second": 0.567, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 27.0, |
|
"learning_rate": 7.342105263157895e-05, |
|
"loss": 0.4235, |
|
"step": 81 |
|
}, |
|
{ |
|
"epoch": 27.33, |
|
"learning_rate": 7.315789473684212e-05, |
|
"loss": 0.3284, |
|
"step": 82 |
|
}, |
|
{ |
|
"epoch": 27.67, |
|
"learning_rate": 7.289473684210527e-05, |
|
"loss": 0.3256, |
|
"step": 83 |
|
}, |
|
{ |
|
"epoch": 28.0, |
|
"learning_rate": 7.263157894736842e-05, |
|
"loss": 0.2932, |
|
"step": 84 |
|
}, |
|
{ |
|
"epoch": 28.33, |
|
"learning_rate": 7.236842105263159e-05, |
|
"loss": 0.3111, |
|
"step": 85 |
|
}, |
|
{ |
|
"epoch": 28.67, |
|
"learning_rate": 7.210526315789474e-05, |
|
"loss": 0.2889, |
|
"step": 86 |
|
}, |
|
{ |
|
"epoch": 29.0, |
|
"learning_rate": 7.18421052631579e-05, |
|
"loss": 0.4514, |
|
"step": 87 |
|
}, |
|
{ |
|
"epoch": 29.33, |
|
"learning_rate": 7.157894736842105e-05, |
|
"loss": 0.2871, |
|
"step": 88 |
|
}, |
|
{ |
|
"epoch": 29.67, |
|
"learning_rate": 7.131578947368421e-05, |
|
"loss": 0.2896, |
|
"step": 89 |
|
}, |
|
{ |
|
"epoch": 30.0, |
|
"learning_rate": 7.105263157894737e-05, |
|
"loss": 0.2682, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 30.0, |
|
"eval_accuracy_dropoff": 0.2984009924874216, |
|
"eval_accuracy_undropoff": 0.9956857967904649, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.2729809111973981, |
|
"eval_iou_undropoff": 0.9643402953348353, |
|
"eval_iou_unlabeled": NaN, |
|
"eval_loss": 0.29188063740730286, |
|
"eval_mean_accuracy": 0.6470433946389432, |
|
"eval_mean_iou": 0.6186606032661167, |
|
"eval_overall_accuracy": 0.9648114522298177, |
|
"eval_runtime": 1.7687, |
|
"eval_samples_per_second": 8.481, |
|
"eval_steps_per_second": 0.565, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 30.33, |
|
"learning_rate": 7.078947368421054e-05, |
|
"loss": 0.2736, |
|
"step": 91 |
|
}, |
|
{ |
|
"epoch": 30.67, |
|
"learning_rate": 7.052631578947368e-05, |
|
"loss": 0.2922, |
|
"step": 92 |
|
}, |
|
{ |
|
"epoch": 31.0, |
|
"learning_rate": 7.026315789473685e-05, |
|
"loss": 0.4261, |
|
"step": 93 |
|
}, |
|
{ |
|
"epoch": 31.33, |
|
"learning_rate": 7.000000000000001e-05, |
|
"loss": 0.2706, |
|
"step": 94 |
|
}, |
|
{ |
|
"epoch": 31.67, |
|
"learning_rate": 6.973684210526316e-05, |
|
"loss": 0.2784, |
|
"step": 95 |
|
}, |
|
{ |
|
"epoch": 32.0, |
|
"learning_rate": 6.947368421052632e-05, |
|
"loss": 0.282, |
|
"step": 96 |
|
}, |
|
{ |
|
"epoch": 32.33, |
|
"learning_rate": 6.921052631578948e-05, |
|
"loss": 0.2683, |
|
"step": 97 |
|
}, |
|
{ |
|
"epoch": 32.67, |
|
"learning_rate": 6.894736842105263e-05, |
|
"loss": 0.2584, |
|
"step": 98 |
|
}, |
|
{ |
|
"epoch": 33.0, |
|
"learning_rate": 6.86842105263158e-05, |
|
"loss": 0.4286, |
|
"step": 99 |
|
}, |
|
{ |
|
"epoch": 33.33, |
|
"learning_rate": 6.842105263157895e-05, |
|
"loss": 0.2521, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 33.33, |
|
"eval_accuracy_dropoff": 0.3764215314632297, |
|
"eval_accuracy_undropoff": 0.9926302243822065, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.32476065885710886, |
|
"eval_iou_undropoff": 0.9647583860020452, |
|
"eval_iou_unlabeled": NaN, |
|
"eval_loss": 0.2957443594932556, |
|
"eval_mean_accuracy": 0.6845258779227181, |
|
"eval_mean_iou": 0.644759522429577, |
|
"eval_overall_accuracy": 0.9653457641601563, |
|
"eval_runtime": 1.8302, |
|
"eval_samples_per_second": 8.196, |
|
"eval_steps_per_second": 0.546, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 33.67, |
|
"learning_rate": 6.81578947368421e-05, |
|
"loss": 0.2615, |
|
"step": 101 |
|
}, |
|
{ |
|
"epoch": 34.0, |
|
"learning_rate": 6.789473684210527e-05, |
|
"loss": 0.3988, |
|
"step": 102 |
|
}, |
|
{ |
|
"epoch": 34.33, |
|
"learning_rate": 6.763157894736843e-05, |
|
"loss": 0.2438, |
|
"step": 103 |
|
}, |
|
{ |
|
"epoch": 34.67, |
|
"learning_rate": 6.736842105263159e-05, |
|
"loss": 0.2528, |
|
"step": 104 |
|
}, |
|
{ |
|
"epoch": 35.0, |
|
"learning_rate": 6.710526315789474e-05, |
|
"loss": 0.2239, |
|
"step": 105 |
|
}, |
|
{ |
|
"epoch": 35.33, |
|
"learning_rate": 6.68421052631579e-05, |
|
"loss": 0.2451, |
|
"step": 106 |
|
}, |
|
{ |
|
"epoch": 35.67, |
|
"learning_rate": 6.657894736842106e-05, |
|
"loss": 0.2308, |
|
"step": 107 |
|
}, |
|
{ |
|
"epoch": 36.0, |
|
"learning_rate": 6.631578947368421e-05, |
|
"loss": 0.3734, |
|
"step": 108 |
|
}, |
|
{ |
|
"epoch": 36.33, |
|
"learning_rate": 6.605263157894737e-05, |
|
"loss": 0.2378, |
|
"step": 109 |
|
}, |
|
{ |
|
"epoch": 36.67, |
|
"learning_rate": 6.578947368421054e-05, |
|
"loss": 0.2287, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 36.67, |
|
"eval_accuracy_dropoff": 0.4591288165965952, |
|
"eval_accuracy_undropoff": 0.9920996303403997, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.3922413370101767, |
|
"eval_iou_undropoff": 0.9678471282288508, |
|
"eval_iou_unlabeled": NaN, |
|
"eval_loss": 0.2746734023094177, |
|
"eval_mean_accuracy": 0.7256142234684975, |
|
"eval_mean_iou": 0.6800442326195137, |
|
"eval_overall_accuracy": 0.9685007731119791, |
|
"eval_runtime": 1.7999, |
|
"eval_samples_per_second": 8.334, |
|
"eval_steps_per_second": 0.556, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 37.0, |
|
"learning_rate": 6.55263157894737e-05, |
|
"loss": 0.2326, |
|
"step": 111 |
|
}, |
|
{ |
|
"epoch": 37.33, |
|
"learning_rate": 6.526315789473684e-05, |
|
"loss": 0.2312, |
|
"step": 112 |
|
}, |
|
{ |
|
"epoch": 37.67, |
|
"learning_rate": 6.500000000000001e-05, |
|
"loss": 0.2291, |
|
"step": 113 |
|
}, |
|
{ |
|
"epoch": 38.0, |
|
"learning_rate": 6.473684210526316e-05, |
|
"loss": 0.3384, |
|
"step": 114 |
|
}, |
|
{ |
|
"epoch": 38.33, |
|
"learning_rate": 6.447368421052632e-05, |
|
"loss": 0.2169, |
|
"step": 115 |
|
}, |
|
{ |
|
"epoch": 38.67, |
|
"learning_rate": 6.421052631578948e-05, |
|
"loss": 0.2521, |
|
"step": 116 |
|
}, |
|
{ |
|
"epoch": 39.0, |
|
"learning_rate": 6.394736842105263e-05, |
|
"loss": 0.2165, |
|
"step": 117 |
|
}, |
|
{ |
|
"epoch": 39.33, |
|
"learning_rate": 6.368421052631579e-05, |
|
"loss": 0.2124, |
|
"step": 118 |
|
}, |
|
{ |
|
"epoch": 39.67, |
|
"learning_rate": 6.342105263157896e-05, |
|
"loss": 0.2082, |
|
"step": 119 |
|
}, |
|
{ |
|
"epoch": 40.0, |
|
"learning_rate": 6.31578947368421e-05, |
|
"loss": 0.2203, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 40.0, |
|
"eval_accuracy_dropoff": 0.5471833574562915, |
|
"eval_accuracy_undropoff": 0.9902029029933593, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.4516702540227378, |
|
"eval_iou_undropoff": 0.9698565844064895, |
|
"eval_iou_unlabeled": NaN, |
|
"eval_loss": 0.2536683678627014, |
|
"eval_mean_accuracy": 0.7686931302248254, |
|
"eval_mean_iou": 0.7107634192146136, |
|
"eval_overall_accuracy": 0.9705869038899739, |
|
"eval_runtime": 1.8218, |
|
"eval_samples_per_second": 8.234, |
|
"eval_steps_per_second": 0.549, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 40.33, |
|
"learning_rate": 6.289473684210526e-05, |
|
"loss": 0.2111, |
|
"step": 121 |
|
}, |
|
{ |
|
"epoch": 40.67, |
|
"learning_rate": 6.263157894736843e-05, |
|
"loss": 0.2005, |
|
"step": 122 |
|
}, |
|
{ |
|
"epoch": 41.0, |
|
"learning_rate": 6.236842105263159e-05, |
|
"loss": 0.3247, |
|
"step": 123 |
|
}, |
|
{ |
|
"epoch": 41.33, |
|
"learning_rate": 6.210526315789474e-05, |
|
"loss": 0.1957, |
|
"step": 124 |
|
}, |
|
{ |
|
"epoch": 41.67, |
|
"learning_rate": 6.18421052631579e-05, |
|
"loss": 0.2034, |
|
"step": 125 |
|
}, |
|
{ |
|
"epoch": 42.0, |
|
"learning_rate": 6.157894736842106e-05, |
|
"loss": 0.1876, |
|
"step": 126 |
|
}, |
|
{ |
|
"epoch": 42.33, |
|
"learning_rate": 6.131578947368421e-05, |
|
"loss": 0.1933, |
|
"step": 127 |
|
}, |
|
{ |
|
"epoch": 42.67, |
|
"learning_rate": 6.105263157894737e-05, |
|
"loss": 0.1982, |
|
"step": 128 |
|
}, |
|
{ |
|
"epoch": 43.0, |
|
"learning_rate": 6.078947368421053e-05, |
|
"loss": 0.3006, |
|
"step": 129 |
|
}, |
|
{ |
|
"epoch": 43.33, |
|
"learning_rate": 6.052631578947369e-05, |
|
"loss": 0.1964, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 43.33, |
|
"eval_accuracy_dropoff": 0.4166838973510695, |
|
"eval_accuracy_undropoff": 0.9941381864859773, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.3698843155549437, |
|
"eval_iou_undropoff": 0.9679789056516562, |
|
"eval_iou_unlabeled": NaN, |
|
"eval_loss": 0.23557429015636444, |
|
"eval_mean_accuracy": 0.7054110419185233, |
|
"eval_mean_iou": 0.6689316106033, |
|
"eval_overall_accuracy": 0.9685696919759115, |
|
"eval_runtime": 1.7453, |
|
"eval_samples_per_second": 8.595, |
|
"eval_steps_per_second": 0.573, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 43.67, |
|
"learning_rate": 6.026315789473685e-05, |
|
"loss": 0.1787, |
|
"step": 131 |
|
}, |
|
{ |
|
"epoch": 44.0, |
|
"learning_rate": 6e-05, |
|
"loss": 0.2787, |
|
"step": 132 |
|
}, |
|
{ |
|
"epoch": 44.33, |
|
"learning_rate": 5.973684210526316e-05, |
|
"loss": 0.1813, |
|
"step": 133 |
|
}, |
|
{ |
|
"epoch": 44.67, |
|
"learning_rate": 5.947368421052632e-05, |
|
"loss": 0.2007, |
|
"step": 134 |
|
}, |
|
{ |
|
"epoch": 45.0, |
|
"learning_rate": 5.9210526315789485e-05, |
|
"loss": 0.1878, |
|
"step": 135 |
|
}, |
|
{ |
|
"epoch": 45.33, |
|
"learning_rate": 5.8947368421052634e-05, |
|
"loss": 0.1832, |
|
"step": 136 |
|
}, |
|
{ |
|
"epoch": 45.67, |
|
"learning_rate": 5.868421052631579e-05, |
|
"loss": 0.1739, |
|
"step": 137 |
|
}, |
|
{ |
|
"epoch": 46.0, |
|
"learning_rate": 5.8421052631578954e-05, |
|
"loss": 0.1672, |
|
"step": 138 |
|
}, |
|
{ |
|
"epoch": 46.33, |
|
"learning_rate": 5.815789473684211e-05, |
|
"loss": 0.1747, |
|
"step": 139 |
|
}, |
|
{ |
|
"epoch": 46.67, |
|
"learning_rate": 5.789473684210526e-05, |
|
"loss": 0.1776, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 46.67, |
|
"eval_accuracy_dropoff": 0.43434534886392356, |
|
"eval_accuracy_undropoff": 0.9930974877409892, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.3780242741741982, |
|
"eval_iou_undropoff": 0.9677365989228159, |
|
"eval_iou_unlabeled": NaN, |
|
"eval_loss": 0.22047756612300873, |
|
"eval_mean_accuracy": 0.7137214183024564, |
|
"eval_mean_iou": 0.672880436548507, |
|
"eval_overall_accuracy": 0.9683570861816406, |
|
"eval_runtime": 1.7567, |
|
"eval_samples_per_second": 8.539, |
|
"eval_steps_per_second": 0.569, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 47.0, |
|
"learning_rate": 5.7631578947368423e-05, |
|
"loss": 0.1934, |
|
"step": 141 |
|
}, |
|
{ |
|
"epoch": 47.33, |
|
"learning_rate": 5.736842105263159e-05, |
|
"loss": 0.1712, |
|
"step": 142 |
|
}, |
|
{ |
|
"epoch": 47.67, |
|
"learning_rate": 5.710526315789474e-05, |
|
"loss": 0.1672, |
|
"step": 143 |
|
}, |
|
{ |
|
"epoch": 48.0, |
|
"learning_rate": 5.684210526315789e-05, |
|
"loss": 0.2477, |
|
"step": 144 |
|
}, |
|
{ |
|
"epoch": 48.33, |
|
"learning_rate": 5.6578947368421056e-05, |
|
"loss": 0.1671, |
|
"step": 145 |
|
}, |
|
{ |
|
"epoch": 48.67, |
|
"learning_rate": 5.631578947368421e-05, |
|
"loss": 0.165, |
|
"step": 146 |
|
}, |
|
{ |
|
"epoch": 49.0, |
|
"learning_rate": 5.6052631578947376e-05, |
|
"loss": 0.1969, |
|
"step": 147 |
|
}, |
|
{ |
|
"epoch": 49.33, |
|
"learning_rate": 5.5789473684210526e-05, |
|
"loss": 0.1585, |
|
"step": 148 |
|
}, |
|
{ |
|
"epoch": 49.67, |
|
"learning_rate": 5.552631578947369e-05, |
|
"loss": 0.1661, |
|
"step": 149 |
|
}, |
|
{ |
|
"epoch": 50.0, |
|
"learning_rate": 5.5263157894736845e-05, |
|
"loss": 0.1675, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 50.0, |
|
"eval_accuracy_dropoff": 0.4561651388793163, |
|
"eval_accuracy_undropoff": 0.9926318209540475, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.39357178961139355, |
|
"eval_iou_undropoff": 0.9682366151033369, |
|
"eval_iou_unlabeled": NaN, |
|
"eval_loss": 0.20607712864875793, |
|
"eval_mean_accuracy": 0.7243984799166818, |
|
"eval_mean_iou": 0.6809042023573653, |
|
"eval_overall_accuracy": 0.968878173828125, |
|
"eval_runtime": 1.8666, |
|
"eval_samples_per_second": 8.036, |
|
"eval_steps_per_second": 0.536, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 50.33, |
|
"learning_rate": 5.500000000000001e-05, |
|
"loss": 0.1637, |
|
"step": 151 |
|
}, |
|
{ |
|
"epoch": 50.67, |
|
"learning_rate": 5.473684210526316e-05, |
|
"loss": 0.153, |
|
"step": 152 |
|
}, |
|
{ |
|
"epoch": 51.0, |
|
"learning_rate": 5.447368421052632e-05, |
|
"loss": 0.1516, |
|
"step": 153 |
|
}, |
|
{ |
|
"epoch": 51.33, |
|
"learning_rate": 5.421052631578948e-05, |
|
"loss": 0.1604, |
|
"step": 154 |
|
}, |
|
{ |
|
"epoch": 51.67, |
|
"learning_rate": 5.394736842105264e-05, |
|
"loss": 0.1433, |
|
"step": 155 |
|
}, |
|
{ |
|
"epoch": 52.0, |
|
"learning_rate": 5.368421052631579e-05, |
|
"loss": 0.2353, |
|
"step": 156 |
|
}, |
|
{ |
|
"epoch": 52.33, |
|
"learning_rate": 5.342105263157895e-05, |
|
"loss": 0.147, |
|
"step": 157 |
|
}, |
|
{ |
|
"epoch": 52.67, |
|
"learning_rate": 5.315789473684211e-05, |
|
"loss": 0.1557, |
|
"step": 158 |
|
}, |
|
{ |
|
"epoch": 53.0, |
|
"learning_rate": 5.2894736842105274e-05, |
|
"loss": 0.1458, |
|
"step": 159 |
|
}, |
|
{ |
|
"epoch": 53.33, |
|
"learning_rate": 5.2631578947368424e-05, |
|
"loss": 0.148, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 53.33, |
|
"eval_accuracy_dropoff": 0.4920279366829784, |
|
"eval_accuracy_undropoff": 0.991531250765024, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.41598764652752823, |
|
"eval_iou_undropoff": 0.9687330852459408, |
|
"eval_iou_unlabeled": NaN, |
|
"eval_loss": 0.19536948204040527, |
|
"eval_mean_accuracy": 0.7417795937240013, |
|
"eval_mean_iou": 0.6923603658867346, |
|
"eval_overall_accuracy": 0.9694142659505208, |
|
"eval_runtime": 1.8886, |
|
"eval_samples_per_second": 7.942, |
|
"eval_steps_per_second": 0.529, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 53.67, |
|
"learning_rate": 5.236842105263158e-05, |
|
"loss": 0.1429, |
|
"step": 161 |
|
}, |
|
{ |
|
"epoch": 54.0, |
|
"learning_rate": 5.2105263157894744e-05, |
|
"loss": 0.1908, |
|
"step": 162 |
|
}, |
|
{ |
|
"epoch": 54.33, |
|
"learning_rate": 5.18421052631579e-05, |
|
"loss": 0.1435, |
|
"step": 163 |
|
}, |
|
{ |
|
"epoch": 54.67, |
|
"learning_rate": 5.157894736842105e-05, |
|
"loss": 0.1393, |
|
"step": 164 |
|
}, |
|
{ |
|
"epoch": 55.0, |
|
"learning_rate": 5.131578947368421e-05, |
|
"loss": 0.1601, |
|
"step": 165 |
|
}, |
|
{ |
|
"epoch": 55.33, |
|
"learning_rate": 5.1052631578947376e-05, |
|
"loss": 0.136, |
|
"step": 166 |
|
}, |
|
{ |
|
"epoch": 55.67, |
|
"learning_rate": 5.078947368421053e-05, |
|
"loss": 0.1401, |
|
"step": 167 |
|
}, |
|
{ |
|
"epoch": 56.0, |
|
"learning_rate": 5.052631578947368e-05, |
|
"loss": 0.1505, |
|
"step": 168 |
|
}, |
|
{ |
|
"epoch": 56.33, |
|
"learning_rate": 5.0263157894736846e-05, |
|
"loss": 0.1326, |
|
"step": 169 |
|
}, |
|
{ |
|
"epoch": 56.67, |
|
"learning_rate": 5e-05, |
|
"loss": 0.1364, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 56.67, |
|
"eval_accuracy_dropoff": 0.4927918303581685, |
|
"eval_accuracy_undropoff": 0.990152078789756, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.40640497922952673, |
|
"eval_iou_undropoff": 0.9674190748086308, |
|
"eval_iou_unlabeled": NaN, |
|
"eval_loss": 0.19154708087444305, |
|
"eval_mean_accuracy": 0.7414719545739622, |
|
"eval_mean_iou": 0.6869120270190787, |
|
"eval_overall_accuracy": 0.9681299845377604, |
|
"eval_runtime": 1.8388, |
|
"eval_samples_per_second": 8.157, |
|
"eval_steps_per_second": 0.544, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 57.0, |
|
"learning_rate": 4.9736842105263166e-05, |
|
"loss": 0.2022, |
|
"step": 171 |
|
}, |
|
{ |
|
"epoch": 57.33, |
|
"learning_rate": 4.9473684210526315e-05, |
|
"loss": 0.1299, |
|
"step": 172 |
|
}, |
|
{ |
|
"epoch": 57.67, |
|
"learning_rate": 4.921052631578948e-05, |
|
"loss": 0.1349, |
|
"step": 173 |
|
}, |
|
{ |
|
"epoch": 58.0, |
|
"learning_rate": 4.8947368421052635e-05, |
|
"loss": 0.2092, |
|
"step": 174 |
|
}, |
|
{ |
|
"epoch": 58.33, |
|
"learning_rate": 4.86842105263158e-05, |
|
"loss": 0.1248, |
|
"step": 175 |
|
}, |
|
{ |
|
"epoch": 58.67, |
|
"learning_rate": 4.842105263157895e-05, |
|
"loss": 0.1354, |
|
"step": 176 |
|
}, |
|
{ |
|
"epoch": 59.0, |
|
"learning_rate": 4.815789473684211e-05, |
|
"loss": 0.1409, |
|
"step": 177 |
|
}, |
|
{ |
|
"epoch": 59.33, |
|
"learning_rate": 4.789473684210527e-05, |
|
"loss": 0.1309, |
|
"step": 178 |
|
}, |
|
{ |
|
"epoch": 59.67, |
|
"learning_rate": 4.763157894736843e-05, |
|
"loss": 0.1239, |
|
"step": 179 |
|
}, |
|
{ |
|
"epoch": 60.0, |
|
"learning_rate": 4.736842105263158e-05, |
|
"loss": 0.1171, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 60.0, |
|
"eval_accuracy_dropoff": 0.5733797413099915, |
|
"eval_accuracy_undropoff": 0.9898777345284205, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.47056771687689725, |
|
"eval_iou_undropoff": 0.9706919811185363, |
|
"eval_iou_unlabeled": NaN, |
|
"eval_loss": 0.17764781415462494, |
|
"eval_mean_accuracy": 0.781628737919206, |
|
"eval_mean_iou": 0.7206298489977168, |
|
"eval_overall_accuracy": 0.9714360555013021, |
|
"eval_runtime": 1.7716, |
|
"eval_samples_per_second": 8.467, |
|
"eval_steps_per_second": 0.564, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 60.33, |
|
"learning_rate": 4.710526315789474e-05, |
|
"loss": 0.1263, |
|
"step": 181 |
|
}, |
|
{ |
|
"epoch": 60.67, |
|
"learning_rate": 4.68421052631579e-05, |
|
"loss": 0.1235, |
|
"step": 182 |
|
}, |
|
{ |
|
"epoch": 61.0, |
|
"learning_rate": 4.657894736842106e-05, |
|
"loss": 0.1369, |
|
"step": 183 |
|
}, |
|
{ |
|
"epoch": 61.33, |
|
"learning_rate": 4.6315789473684214e-05, |
|
"loss": 0.1249, |
|
"step": 184 |
|
}, |
|
{ |
|
"epoch": 61.67, |
|
"learning_rate": 4.605263157894737e-05, |
|
"loss": 0.1252, |
|
"step": 185 |
|
}, |
|
{ |
|
"epoch": 62.0, |
|
"learning_rate": 4.578947368421053e-05, |
|
"loss": 0.1093, |
|
"step": 186 |
|
}, |
|
{ |
|
"epoch": 62.33, |
|
"learning_rate": 4.552631578947369e-05, |
|
"loss": 0.1202, |
|
"step": 187 |
|
}, |
|
{ |
|
"epoch": 62.67, |
|
"learning_rate": 4.526315789473684e-05, |
|
"loss": 0.1204, |
|
"step": 188 |
|
}, |
|
{ |
|
"epoch": 63.0, |
|
"learning_rate": 4.5e-05, |
|
"loss": 0.1757, |
|
"step": 189 |
|
}, |
|
{ |
|
"epoch": 63.33, |
|
"learning_rate": 4.473684210526316e-05, |
|
"loss": 0.1169, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 63.33, |
|
"eval_accuracy_dropoff": 0.3741298504376594, |
|
"eval_accuracy_undropoff": 0.9964596019427087, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.347569272142274, |
|
"eval_iou_undropoff": 0.9683803113559507, |
|
"eval_iou_unlabeled": NaN, |
|
"eval_loss": 0.17537614703178406, |
|
"eval_mean_accuracy": 0.6852947261901841, |
|
"eval_mean_iou": 0.6579747917491123, |
|
"eval_overall_accuracy": 0.9689041137695312, |
|
"eval_runtime": 1.776, |
|
"eval_samples_per_second": 8.446, |
|
"eval_steps_per_second": 0.563, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 63.67, |
|
"learning_rate": 4.4473684210526316e-05, |
|
"loss": 0.1242, |
|
"step": 191 |
|
}, |
|
{ |
|
"epoch": 64.0, |
|
"learning_rate": 4.421052631578947e-05, |
|
"loss": 0.1529, |
|
"step": 192 |
|
}, |
|
{ |
|
"epoch": 64.33, |
|
"learning_rate": 4.3947368421052636e-05, |
|
"loss": 0.1156, |
|
"step": 193 |
|
}, |
|
{ |
|
"epoch": 64.67, |
|
"learning_rate": 4.368421052631579e-05, |
|
"loss": 0.1171, |
|
"step": 194 |
|
}, |
|
{ |
|
"epoch": 65.0, |
|
"learning_rate": 4.342105263157895e-05, |
|
"loss": 0.11, |
|
"step": 195 |
|
}, |
|
{ |
|
"epoch": 65.33, |
|
"learning_rate": 4.3157894736842105e-05, |
|
"loss": 0.1167, |
|
"step": 196 |
|
}, |
|
{ |
|
"epoch": 65.67, |
|
"learning_rate": 4.289473684210527e-05, |
|
"loss": 0.1112, |
|
"step": 197 |
|
}, |
|
{ |
|
"epoch": 66.0, |
|
"learning_rate": 4.263157894736842e-05, |
|
"loss": 0.109, |
|
"step": 198 |
|
}, |
|
{ |
|
"epoch": 66.33, |
|
"learning_rate": 4.236842105263158e-05, |
|
"loss": 0.1028, |
|
"step": 199 |
|
}, |
|
{ |
|
"epoch": 66.67, |
|
"learning_rate": 4.210526315789474e-05, |
|
"loss": 0.1178, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 66.67, |
|
"eval_accuracy_dropoff": 0.454510993176649, |
|
"eval_accuracy_undropoff": 0.9921765318840718, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.38884766767071727, |
|
"eval_iou_undropoff": 0.9677201762977982, |
|
"eval_iou_unlabeled": NaN, |
|
"eval_loss": 0.16762010753154755, |
|
"eval_mean_accuracy": 0.7233437625303605, |
|
"eval_mean_iou": 0.6782839219842577, |
|
"eval_overall_accuracy": 0.9683698018391927, |
|
"eval_runtime": 1.8742, |
|
"eval_samples_per_second": 8.003, |
|
"eval_steps_per_second": 0.534, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 67.0, |
|
"learning_rate": 4.1842105263157894e-05, |
|
"loss": 0.1549, |
|
"step": 201 |
|
}, |
|
{ |
|
"epoch": 67.33, |
|
"learning_rate": 4.157894736842105e-05, |
|
"loss": 0.1064, |
|
"step": 202 |
|
}, |
|
{ |
|
"epoch": 67.67, |
|
"learning_rate": 4.1315789473684214e-05, |
|
"loss": 0.1118, |
|
"step": 203 |
|
}, |
|
{ |
|
"epoch": 68.0, |
|
"learning_rate": 4.105263157894737e-05, |
|
"loss": 0.0964, |
|
"step": 204 |
|
}, |
|
{ |
|
"epoch": 68.33, |
|
"learning_rate": 4.078947368421053e-05, |
|
"loss": 0.1136, |
|
"step": 205 |
|
}, |
|
{ |
|
"epoch": 68.67, |
|
"learning_rate": 4.0526315789473684e-05, |
|
"loss": 0.1065, |
|
"step": 206 |
|
}, |
|
{ |
|
"epoch": 69.0, |
|
"learning_rate": 4.026315789473685e-05, |
|
"loss": 0.1578, |
|
"step": 207 |
|
}, |
|
{ |
|
"epoch": 69.33, |
|
"learning_rate": 4e-05, |
|
"loss": 0.1081, |
|
"step": 208 |
|
}, |
|
{ |
|
"epoch": 69.67, |
|
"learning_rate": 3.973684210526316e-05, |
|
"loss": 0.1091, |
|
"step": 209 |
|
}, |
|
{ |
|
"epoch": 70.0, |
|
"learning_rate": 3.9473684210526316e-05, |
|
"loss": 0.1016, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 70.0, |
|
"eval_accuracy_dropoff": 0.4025489925793186, |
|
"eval_accuracy_undropoff": 0.9943747452137437, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.35896398426616405, |
|
"eval_iou_undropoff": 0.967592274925927, |
|
"eval_iou_unlabeled": NaN, |
|
"eval_loss": 0.1669619232416153, |
|
"eval_mean_accuracy": 0.6984618688965312, |
|
"eval_mean_iou": 0.6632781295960455, |
|
"eval_overall_accuracy": 0.9681699117024739, |
|
"eval_runtime": 1.8214, |
|
"eval_samples_per_second": 8.235, |
|
"eval_steps_per_second": 0.549, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 70.33, |
|
"learning_rate": 3.921052631578948e-05, |
|
"loss": 0.101, |
|
"step": 211 |
|
}, |
|
{ |
|
"epoch": 70.67, |
|
"learning_rate": 3.894736842105263e-05, |
|
"loss": 0.1069, |
|
"step": 212 |
|
}, |
|
{ |
|
"epoch": 71.0, |
|
"learning_rate": 3.868421052631579e-05, |
|
"loss": 0.1396, |
|
"step": 213 |
|
}, |
|
{ |
|
"epoch": 71.33, |
|
"learning_rate": 3.842105263157895e-05, |
|
"loss": 0.1014, |
|
"step": 214 |
|
}, |
|
{ |
|
"epoch": 71.67, |
|
"learning_rate": 3.8157894736842105e-05, |
|
"loss": 0.1028, |
|
"step": 215 |
|
}, |
|
{ |
|
"epoch": 72.0, |
|
"learning_rate": 3.789473684210526e-05, |
|
"loss": 0.1477, |
|
"step": 216 |
|
}, |
|
{ |
|
"epoch": 72.33, |
|
"learning_rate": 3.7631578947368425e-05, |
|
"loss": 0.099, |
|
"step": 217 |
|
}, |
|
{ |
|
"epoch": 72.67, |
|
"learning_rate": 3.736842105263158e-05, |
|
"loss": 0.1028, |
|
"step": 218 |
|
}, |
|
{ |
|
"epoch": 73.0, |
|
"learning_rate": 3.710526315789474e-05, |
|
"loss": 0.1256, |
|
"step": 219 |
|
}, |
|
{ |
|
"epoch": 73.33, |
|
"learning_rate": 3.6842105263157895e-05, |
|
"loss": 0.1025, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 73.33, |
|
"eval_accuracy_dropoff": 0.43655087646748, |
|
"eval_accuracy_undropoff": 0.9943074231011173, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.3887806200479793, |
|
"eval_iou_undropoff": 0.9690121216663343, |
|
"eval_iou_unlabeled": NaN, |
|
"eval_loss": 0.16480425000190735, |
|
"eval_mean_accuracy": 0.7154291497842986, |
|
"eval_mean_iou": 0.6788963708571568, |
|
"eval_overall_accuracy": 0.9696111043294271, |
|
"eval_runtime": 1.8392, |
|
"eval_samples_per_second": 8.156, |
|
"eval_steps_per_second": 0.544, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 73.67, |
|
"learning_rate": 3.657894736842106e-05, |
|
"loss": 0.0986, |
|
"step": 221 |
|
}, |
|
{ |
|
"epoch": 74.0, |
|
"learning_rate": 3.631578947368421e-05, |
|
"loss": 0.0958, |
|
"step": 222 |
|
}, |
|
{ |
|
"epoch": 74.33, |
|
"learning_rate": 3.605263157894737e-05, |
|
"loss": 0.1012, |
|
"step": 223 |
|
}, |
|
{ |
|
"epoch": 74.67, |
|
"learning_rate": 3.578947368421053e-05, |
|
"loss": 0.0966, |
|
"step": 224 |
|
}, |
|
{ |
|
"epoch": 75.0, |
|
"learning_rate": 3.5526315789473684e-05, |
|
"loss": 0.0908, |
|
"step": 225 |
|
}, |
|
{ |
|
"epoch": 75.33, |
|
"learning_rate": 3.526315789473684e-05, |
|
"loss": 0.1018, |
|
"step": 226 |
|
}, |
|
{ |
|
"epoch": 75.67, |
|
"learning_rate": 3.5000000000000004e-05, |
|
"loss": 0.093, |
|
"step": 227 |
|
}, |
|
{ |
|
"epoch": 76.0, |
|
"learning_rate": 3.473684210526316e-05, |
|
"loss": 0.0997, |
|
"step": 228 |
|
}, |
|
{ |
|
"epoch": 76.33, |
|
"learning_rate": 3.447368421052632e-05, |
|
"loss": 0.0961, |
|
"step": 229 |
|
}, |
|
{ |
|
"epoch": 76.67, |
|
"learning_rate": 3.421052631578947e-05, |
|
"loss": 0.0956, |
|
"step": 230 |
|
}, |
|
{ |
|
"epoch": 76.67, |
|
"eval_accuracy_dropoff": 0.4279240471431525, |
|
"eval_accuracy_undropoff": 0.9927057954493445, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.3697151647479158, |
|
"eval_iou_undropoff": 0.9670745569523455, |
|
"eval_iou_unlabeled": NaN, |
|
"eval_loss": 0.1607496440410614, |
|
"eval_mean_accuracy": 0.7103149212962485, |
|
"eval_mean_iou": 0.6683948608501307, |
|
"eval_overall_accuracy": 0.9676984151204427, |
|
"eval_runtime": 1.9642, |
|
"eval_samples_per_second": 7.637, |
|
"eval_steps_per_second": 0.509, |
|
"step": 230 |
|
}, |
|
{ |
|
"epoch": 77.0, |
|
"learning_rate": 3.3947368421052636e-05, |
|
"loss": 0.0909, |
|
"step": 231 |
|
}, |
|
{ |
|
"epoch": 77.33, |
|
"learning_rate": 3.368421052631579e-05, |
|
"loss": 0.095, |
|
"step": 232 |
|
}, |
|
{ |
|
"epoch": 77.67, |
|
"learning_rate": 3.342105263157895e-05, |
|
"loss": 0.0915, |
|
"step": 233 |
|
}, |
|
{ |
|
"epoch": 78.0, |
|
"learning_rate": 3.3157894736842106e-05, |
|
"loss": 0.1312, |
|
"step": 234 |
|
}, |
|
{ |
|
"epoch": 78.33, |
|
"learning_rate": 3.289473684210527e-05, |
|
"loss": 0.0894, |
|
"step": 235 |
|
}, |
|
{ |
|
"epoch": 78.67, |
|
"learning_rate": 3.263157894736842e-05, |
|
"loss": 0.1006, |
|
"step": 236 |
|
}, |
|
{ |
|
"epoch": 79.0, |
|
"learning_rate": 3.236842105263158e-05, |
|
"loss": 0.0902, |
|
"step": 237 |
|
}, |
|
{ |
|
"epoch": 79.33, |
|
"learning_rate": 3.210526315789474e-05, |
|
"loss": 0.0919, |
|
"step": 238 |
|
}, |
|
{ |
|
"epoch": 79.67, |
|
"learning_rate": 3.1842105263157895e-05, |
|
"loss": 0.0909, |
|
"step": 239 |
|
}, |
|
{ |
|
"epoch": 80.0, |
|
"learning_rate": 3.157894736842105e-05, |
|
"loss": 0.1443, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 80.0, |
|
"eval_accuracy_dropoff": 0.43322535437774257, |
|
"eval_accuracy_undropoff": 0.9936637385539103, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.3811034761519806, |
|
"eval_iou_undropoff": 0.968239431726135, |
|
"eval_iou_unlabeled": NaN, |
|
"eval_loss": 0.16110308468341827, |
|
"eval_mean_accuracy": 0.7134445464658264, |
|
"eval_mean_iou": 0.6746714539390578, |
|
"eval_overall_accuracy": 0.9688486735026042, |
|
"eval_runtime": 1.7665, |
|
"eval_samples_per_second": 8.491, |
|
"eval_steps_per_second": 0.566, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 80.33, |
|
"learning_rate": 3.1315789473684215e-05, |
|
"loss": 0.0934, |
|
"step": 241 |
|
}, |
|
{ |
|
"epoch": 80.67, |
|
"learning_rate": 3.105263157894737e-05, |
|
"loss": 0.0881, |
|
"step": 242 |
|
}, |
|
{ |
|
"epoch": 81.0, |
|
"learning_rate": 3.078947368421053e-05, |
|
"loss": 0.0897, |
|
"step": 243 |
|
}, |
|
{ |
|
"epoch": 81.33, |
|
"learning_rate": 3.0526315789473684e-05, |
|
"loss": 0.0899, |
|
"step": 244 |
|
}, |
|
{ |
|
"epoch": 81.67, |
|
"learning_rate": 3.0263157894736844e-05, |
|
"loss": 0.0862, |
|
"step": 245 |
|
}, |
|
{ |
|
"epoch": 82.0, |
|
"learning_rate": 3e-05, |
|
"loss": 0.1272, |
|
"step": 246 |
|
}, |
|
{ |
|
"epoch": 82.33, |
|
"learning_rate": 2.973684210526316e-05, |
|
"loss": 0.0859, |
|
"step": 247 |
|
}, |
|
{ |
|
"epoch": 82.67, |
|
"learning_rate": 2.9473684210526317e-05, |
|
"loss": 0.091, |
|
"step": 248 |
|
}, |
|
{ |
|
"epoch": 83.0, |
|
"learning_rate": 2.9210526315789477e-05, |
|
"loss": 0.0882, |
|
"step": 249 |
|
}, |
|
{ |
|
"epoch": 83.33, |
|
"learning_rate": 2.894736842105263e-05, |
|
"loss": 0.0902, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 83.33, |
|
"eval_accuracy_dropoff": 0.417384611850116, |
|
"eval_accuracy_undropoff": 0.994632591566056, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.37404969142315947, |
|
"eval_iou_undropoff": 0.9684909146027065, |
|
"eval_iou_unlabeled": NaN, |
|
"eval_loss": 0.1599864810705185, |
|
"eval_mean_accuracy": 0.706008601708086, |
|
"eval_mean_iou": 0.671270303012933, |
|
"eval_overall_accuracy": 0.969073232014974, |
|
"eval_runtime": 1.6485, |
|
"eval_samples_per_second": 9.099, |
|
"eval_steps_per_second": 0.607, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 83.67, |
|
"learning_rate": 2.8684210526315793e-05, |
|
"loss": 0.0896, |
|
"step": 251 |
|
}, |
|
{ |
|
"epoch": 84.0, |
|
"learning_rate": 2.8421052631578946e-05, |
|
"loss": 0.0792, |
|
"step": 252 |
|
}, |
|
{ |
|
"epoch": 84.33, |
|
"learning_rate": 2.8157894736842106e-05, |
|
"loss": 0.0856, |
|
"step": 253 |
|
}, |
|
{ |
|
"epoch": 84.67, |
|
"learning_rate": 2.7894736842105263e-05, |
|
"loss": 0.0897, |
|
"step": 254 |
|
}, |
|
{ |
|
"epoch": 85.0, |
|
"learning_rate": 2.7631578947368423e-05, |
|
"loss": 0.0834, |
|
"step": 255 |
|
}, |
|
{ |
|
"epoch": 85.33, |
|
"learning_rate": 2.736842105263158e-05, |
|
"loss": 0.0887, |
|
"step": 256 |
|
}, |
|
{ |
|
"epoch": 85.67, |
|
"learning_rate": 2.710526315789474e-05, |
|
"loss": 0.0895, |
|
"step": 257 |
|
}, |
|
{ |
|
"epoch": 86.0, |
|
"learning_rate": 2.6842105263157896e-05, |
|
"loss": 0.0789, |
|
"step": 258 |
|
}, |
|
{ |
|
"epoch": 86.33, |
|
"learning_rate": 2.6578947368421055e-05, |
|
"loss": 0.0822, |
|
"step": 259 |
|
}, |
|
{ |
|
"epoch": 86.67, |
|
"learning_rate": 2.6315789473684212e-05, |
|
"loss": 0.0846, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 86.67, |
|
"eval_accuracy_dropoff": 0.4613400877616192, |
|
"eval_accuracy_undropoff": 0.991162708765073, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.38743675205842204, |
|
"eval_iou_undropoff": 0.967029757489738, |
|
"eval_iou_unlabeled": NaN, |
|
"eval_loss": 0.1559450328350067, |
|
"eval_mean_accuracy": 0.7262513982633461, |
|
"eval_mean_iou": 0.67723325477408, |
|
"eval_overall_accuracy": 0.9677032470703125, |
|
"eval_runtime": 1.8954, |
|
"eval_samples_per_second": 7.914, |
|
"eval_steps_per_second": 0.528, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 87.0, |
|
"learning_rate": 2.6052631578947372e-05, |
|
"loss": 0.1209, |
|
"step": 261 |
|
}, |
|
{ |
|
"epoch": 87.33, |
|
"learning_rate": 2.5789473684210525e-05, |
|
"loss": 0.085, |
|
"step": 262 |
|
}, |
|
{ |
|
"epoch": 87.67, |
|
"learning_rate": 2.5526315789473688e-05, |
|
"loss": 0.088, |
|
"step": 263 |
|
}, |
|
{ |
|
"epoch": 88.0, |
|
"learning_rate": 2.526315789473684e-05, |
|
"loss": 0.0866, |
|
"step": 264 |
|
}, |
|
{ |
|
"epoch": 88.33, |
|
"learning_rate": 2.5e-05, |
|
"loss": 0.0831, |
|
"step": 265 |
|
}, |
|
{ |
|
"epoch": 88.67, |
|
"learning_rate": 2.4736842105263158e-05, |
|
"loss": 0.0859, |
|
"step": 266 |
|
}, |
|
{ |
|
"epoch": 89.0, |
|
"learning_rate": 2.4473684210526318e-05, |
|
"loss": 0.0745, |
|
"step": 267 |
|
}, |
|
{ |
|
"epoch": 89.33, |
|
"learning_rate": 2.4210526315789474e-05, |
|
"loss": 0.0839, |
|
"step": 268 |
|
}, |
|
{ |
|
"epoch": 89.67, |
|
"learning_rate": 2.3947368421052634e-05, |
|
"loss": 0.0849, |
|
"step": 269 |
|
}, |
|
{ |
|
"epoch": 90.0, |
|
"learning_rate": 2.368421052631579e-05, |
|
"loss": 0.1166, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 90.0, |
|
"eval_accuracy_dropoff": 0.4030199646196614, |
|
"eval_accuracy_undropoff": 0.993865172701176, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.3558933471290252, |
|
"eval_iou_undropoff": 0.9671169611736536, |
|
"eval_iou_unlabeled": NaN, |
|
"eval_loss": 0.15874528884887695, |
|
"eval_mean_accuracy": 0.6984425686604188, |
|
"eval_mean_iou": 0.6615051541513395, |
|
"eval_overall_accuracy": 0.9677037556966146, |
|
"eval_runtime": 1.7615, |
|
"eval_samples_per_second": 8.516, |
|
"eval_steps_per_second": 0.568, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 90.33, |
|
"learning_rate": 2.342105263157895e-05, |
|
"loss": 0.0822, |
|
"step": 271 |
|
}, |
|
{ |
|
"epoch": 90.67, |
|
"learning_rate": 2.3157894736842107e-05, |
|
"loss": 0.0861, |
|
"step": 272 |
|
}, |
|
{ |
|
"epoch": 91.0, |
|
"learning_rate": 2.2894736842105267e-05, |
|
"loss": 0.1307, |
|
"step": 273 |
|
}, |
|
{ |
|
"epoch": 91.33, |
|
"learning_rate": 2.263157894736842e-05, |
|
"loss": 0.0831, |
|
"step": 274 |
|
}, |
|
{ |
|
"epoch": 91.67, |
|
"learning_rate": 2.236842105263158e-05, |
|
"loss": 0.0821, |
|
"step": 275 |
|
}, |
|
{ |
|
"epoch": 92.0, |
|
"learning_rate": 2.2105263157894736e-05, |
|
"loss": 0.0856, |
|
"step": 276 |
|
}, |
|
{ |
|
"epoch": 92.33, |
|
"learning_rate": 2.1842105263157896e-05, |
|
"loss": 0.083, |
|
"step": 277 |
|
}, |
|
{ |
|
"epoch": 92.67, |
|
"learning_rate": 2.1578947368421053e-05, |
|
"loss": 0.0798, |
|
"step": 278 |
|
}, |
|
{ |
|
"epoch": 93.0, |
|
"learning_rate": 2.131578947368421e-05, |
|
"loss": 0.0807, |
|
"step": 279 |
|
}, |
|
{ |
|
"epoch": 93.33, |
|
"learning_rate": 2.105263157894737e-05, |
|
"loss": 0.0825, |
|
"step": 280 |
|
}, |
|
{ |
|
"epoch": 93.33, |
|
"eval_accuracy_dropoff": 0.4199290095802605, |
|
"eval_accuracy_undropoff": 0.993632605403012, |
|
"eval_accuracy_unlabeled": NaN, |
|
"eval_iou_dropoff": 0.3691885859713084, |
|
"eval_iou_undropoff": 0.9676282771368164, |
|
"eval_iou_unlabeled": NaN, |
|
"eval_loss": 0.15378497540950775, |
|
"eval_mean_accuracy": 0.7067808074916363, |
|
"eval_mean_iou": 0.6684084315540624, |
|
"eval_overall_accuracy": 0.9682301839192708, |
|
"eval_runtime": 1.6935, |
|
"eval_samples_per_second": 8.857, |
|
"eval_steps_per_second": 0.59, |
|
"step": 280 |
|
} |
|
], |
|
"max_steps": 360, |
|
"num_train_epochs": 120, |
|
"total_flos": 5.570769653858304e+16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|