sam1120 commited on
Commit
2213ca9
β€’
1 Parent(s): fc8d8ed

Training in progress, step 320

Browse files
{checkpoint-120 β†’ checkpoint-320}/config.json RENAMED
File without changes
{checkpoint-120 β†’ checkpoint-320}/optimizer.pt RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:129c46dd2659db282d54295d9efa6035298c72ad03e1c95e071db8b3f2db9431
3
- size 29838853
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:694cfd5228a8201cc807ada903fba8df5d2faf78bd0aac7ca057e2f59d79d4fc
3
+ size 29839045
{checkpoint-120 β†’ checkpoint-320}/pytorch_model.bin RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4bcd3939bd9f0e21dce7930aee60eb23cfb456dbe0b6b8d687072eaa4f739acc
3
  size 14932813
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:04f169d68d231de85c4e9f94b55f445e8773f1ead42f804f024bfc6bf5e3c98a
3
  size 14932813
{checkpoint-120 β†’ checkpoint-320}/rng_state.pth RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a6ed693369f4773f94d8825f75155bb644049c092a1d59162721cb618124aed1
3
  size 14575
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ba9cc236dc1d82d4d4ac62939e76435c9e90b4aa0e307deefb6d1176c91593cd
3
  size 14575
{checkpoint-120 β†’ checkpoint-320}/scheduler.pt RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:16645ffe99acd607dd04935552f2c9d55ccb9963dfaeab82e78458b871186e07
3
  size 627
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:23666840121a46fbd82c538b92cf96dacfd860e941c8a9540188673e2c1d5db2
3
  size 627
{checkpoint-120 β†’ checkpoint-320}/trainer_state.json RENAMED
@@ -1,8 +1,8 @@
1
  {
2
- "best_metric": 0.5141220092773438,
3
- "best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/dropoff-utcustom-train-SF-RGB-b0_3/checkpoint-120",
4
- "epoch": 40.0,
5
- "global_step": 120,
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
8
  "is_world_process_zero": true,
@@ -930,11 +930,1551 @@
930
  "eval_samples_per_second": 8.383,
931
  "eval_steps_per_second": 0.559,
932
  "step": 120
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
933
  }
934
  ],
935
  "max_steps": 360,
936
  "num_train_epochs": 120,
937
- "total_flos": 2.38396687515648e+16,
938
  "trial_name": null,
939
  "trial_params": null
940
  }
 
1
  {
2
+ "best_metric": 0.3925156891345978,
3
+ "best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/dropoff-utcustom-train-SF-RGB-b0_3/checkpoint-320",
4
+ "epoch": 106.66666666666667,
5
+ "global_step": 320,
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
8
  "is_world_process_zero": true,
 
930
  "eval_samples_per_second": 8.383,
931
  "eval_steps_per_second": 0.559,
932
  "step": 120
933
+ },
934
+ {
935
+ "epoch": 40.33,
936
+ "learning_rate": 1.3976608187134504e-05,
937
+ "loss": 0.5223,
938
+ "step": 121
939
+ },
940
+ {
941
+ "epoch": 40.67,
942
+ "learning_rate": 1.3918128654970762e-05,
943
+ "loss": 0.5158,
944
+ "step": 122
945
+ },
946
+ {
947
+ "epoch": 41.0,
948
+ "learning_rate": 1.385964912280702e-05,
949
+ "loss": 0.7741,
950
+ "step": 123
951
+ },
952
+ {
953
+ "epoch": 41.33,
954
+ "learning_rate": 1.3801169590643275e-05,
955
+ "loss": 0.5087,
956
+ "step": 124
957
+ },
958
+ {
959
+ "epoch": 41.67,
960
+ "learning_rate": 1.3742690058479533e-05,
961
+ "loss": 0.5203,
962
+ "step": 125
963
+ },
964
+ {
965
+ "epoch": 42.0,
966
+ "learning_rate": 1.3684210526315791e-05,
967
+ "loss": 0.5061,
968
+ "step": 126
969
+ },
970
+ {
971
+ "epoch": 42.33,
972
+ "learning_rate": 1.362573099415205e-05,
973
+ "loss": 0.4992,
974
+ "step": 127
975
+ },
976
+ {
977
+ "epoch": 42.67,
978
+ "learning_rate": 1.3567251461988304e-05,
979
+ "loss": 0.5293,
980
+ "step": 128
981
+ },
982
+ {
983
+ "epoch": 43.0,
984
+ "learning_rate": 1.3508771929824562e-05,
985
+ "loss": 0.7778,
986
+ "step": 129
987
+ },
988
+ {
989
+ "epoch": 43.33,
990
+ "learning_rate": 1.345029239766082e-05,
991
+ "loss": 0.5198,
992
+ "step": 130
993
+ },
994
+ {
995
+ "epoch": 43.33,
996
+ "eval_accuracy_dropoff": 0.3656810715188274,
997
+ "eval_accuracy_undropoff": 0.9866212601635103,
998
+ "eval_accuracy_unlabeled": NaN,
999
+ "eval_iou_dropoff": 0.28375204453179664,
1000
+ "eval_iou_undropoff": 0.9584546122881992,
1001
+ "eval_iou_unlabeled": 0.0,
1002
+ "eval_loss": 0.48896968364715576,
1003
+ "eval_mean_accuracy": 0.6761511658411689,
1004
+ "eval_mean_iou": 0.41406888560666527,
1005
+ "eval_overall_accuracy": 0.9591272989908854,
1006
+ "eval_runtime": 1.7404,
1007
+ "eval_samples_per_second": 8.619,
1008
+ "eval_steps_per_second": 0.575,
1009
+ "step": 130
1010
+ },
1011
+ {
1012
+ "epoch": 43.67,
1013
+ "learning_rate": 1.3391812865497079e-05,
1014
+ "loss": 0.4739,
1015
+ "step": 131
1016
+ },
1017
+ {
1018
+ "epoch": 44.0,
1019
+ "learning_rate": 1.3333333333333333e-05,
1020
+ "loss": 0.7511,
1021
+ "step": 132
1022
+ },
1023
+ {
1024
+ "epoch": 44.33,
1025
+ "learning_rate": 1.3274853801169591e-05,
1026
+ "loss": 0.4826,
1027
+ "step": 133
1028
+ },
1029
+ {
1030
+ "epoch": 44.67,
1031
+ "learning_rate": 1.321637426900585e-05,
1032
+ "loss": 0.5534,
1033
+ "step": 134
1034
+ },
1035
+ {
1036
+ "epoch": 45.0,
1037
+ "learning_rate": 1.3157894736842108e-05,
1038
+ "loss": 0.5636,
1039
+ "step": 135
1040
+ },
1041
+ {
1042
+ "epoch": 45.33,
1043
+ "learning_rate": 1.3099415204678362e-05,
1044
+ "loss": 0.5102,
1045
+ "step": 136
1046
+ },
1047
+ {
1048
+ "epoch": 45.67,
1049
+ "learning_rate": 1.304093567251462e-05,
1050
+ "loss": 0.485,
1051
+ "step": 137
1052
+ },
1053
+ {
1054
+ "epoch": 46.0,
1055
+ "learning_rate": 1.2982456140350879e-05,
1056
+ "loss": 0.486,
1057
+ "step": 138
1058
+ },
1059
+ {
1060
+ "epoch": 46.33,
1061
+ "learning_rate": 1.2923976608187137e-05,
1062
+ "loss": 0.4934,
1063
+ "step": 139
1064
+ },
1065
+ {
1066
+ "epoch": 46.67,
1067
+ "learning_rate": 1.2865497076023392e-05,
1068
+ "loss": 0.5077,
1069
+ "step": 140
1070
+ },
1071
+ {
1072
+ "epoch": 46.67,
1073
+ "eval_accuracy_dropoff": 0.3572322925999954,
1074
+ "eval_accuracy_undropoff": 0.986647337503579,
1075
+ "eval_accuracy_unlabeled": NaN,
1076
+ "eval_iou_dropoff": 0.27731853040841803,
1077
+ "eval_iou_undropoff": 0.95811562022686,
1078
+ "eval_iou_unlabeled": 0.0,
1079
+ "eval_loss": 0.48549026250839233,
1080
+ "eval_mean_accuracy": 0.6719398150517872,
1081
+ "eval_mean_iou": 0.4118113835450927,
1082
+ "eval_overall_accuracy": 0.9587781270345052,
1083
+ "eval_runtime": 1.7229,
1084
+ "eval_samples_per_second": 8.706,
1085
+ "eval_steps_per_second": 0.58,
1086
+ "step": 140
1087
+ },
1088
+ {
1089
+ "epoch": 47.0,
1090
+ "learning_rate": 1.280701754385965e-05,
1091
+ "loss": 0.647,
1092
+ "step": 141
1093
+ },
1094
+ {
1095
+ "epoch": 47.33,
1096
+ "learning_rate": 1.2748538011695908e-05,
1097
+ "loss": 0.4891,
1098
+ "step": 142
1099
+ },
1100
+ {
1101
+ "epoch": 47.67,
1102
+ "learning_rate": 1.2690058479532166e-05,
1103
+ "loss": 0.4703,
1104
+ "step": 143
1105
+ },
1106
+ {
1107
+ "epoch": 48.0,
1108
+ "learning_rate": 1.263157894736842e-05,
1109
+ "loss": 0.7596,
1110
+ "step": 144
1111
+ },
1112
+ {
1113
+ "epoch": 48.33,
1114
+ "learning_rate": 1.2573099415204679e-05,
1115
+ "loss": 0.4825,
1116
+ "step": 145
1117
+ },
1118
+ {
1119
+ "epoch": 48.67,
1120
+ "learning_rate": 1.2514619883040937e-05,
1121
+ "loss": 0.4702,
1122
+ "step": 146
1123
+ },
1124
+ {
1125
+ "epoch": 49.0,
1126
+ "learning_rate": 1.2456140350877195e-05,
1127
+ "loss": 0.6684,
1128
+ "step": 147
1129
+ },
1130
+ {
1131
+ "epoch": 49.33,
1132
+ "learning_rate": 1.239766081871345e-05,
1133
+ "loss": 0.4681,
1134
+ "step": 148
1135
+ },
1136
+ {
1137
+ "epoch": 49.67,
1138
+ "learning_rate": 1.2339181286549708e-05,
1139
+ "loss": 0.497,
1140
+ "step": 149
1141
+ },
1142
+ {
1143
+ "epoch": 50.0,
1144
+ "learning_rate": 1.2280701754385966e-05,
1145
+ "loss": 0.4817,
1146
+ "step": 150
1147
+ },
1148
+ {
1149
+ "epoch": 50.0,
1150
+ "eval_accuracy_dropoff": 0.36020745744020954,
1151
+ "eval_accuracy_undropoff": 0.9863945469620963,
1152
+ "eval_accuracy_unlabeled": NaN,
1153
+ "eval_iou_dropoff": 0.27843880695086975,
1154
+ "eval_iou_undropoff": 0.9579983692751803,
1155
+ "eval_iou_unlabeled": NaN,
1156
+ "eval_loss": 0.47096526622772217,
1157
+ "eval_mean_accuracy": 0.673301002201153,
1158
+ "eval_mean_iou": 0.6182185881130251,
1159
+ "eval_overall_accuracy": 0.9586682637532552,
1160
+ "eval_runtime": 1.7512,
1161
+ "eval_samples_per_second": 8.565,
1162
+ "eval_steps_per_second": 0.571,
1163
+ "step": 150
1164
+ },
1165
+ {
1166
+ "epoch": 50.33,
1167
+ "learning_rate": 1.2222222222222224e-05,
1168
+ "loss": 0.4865,
1169
+ "step": 151
1170
+ },
1171
+ {
1172
+ "epoch": 50.67,
1173
+ "learning_rate": 1.216374269005848e-05,
1174
+ "loss": 0.4611,
1175
+ "step": 152
1176
+ },
1177
+ {
1178
+ "epoch": 51.0,
1179
+ "learning_rate": 1.2105263157894737e-05,
1180
+ "loss": 0.5011,
1181
+ "step": 153
1182
+ },
1183
+ {
1184
+ "epoch": 51.33,
1185
+ "learning_rate": 1.2046783625730995e-05,
1186
+ "loss": 0.4967,
1187
+ "step": 154
1188
+ },
1189
+ {
1190
+ "epoch": 51.67,
1191
+ "learning_rate": 1.1988304093567253e-05,
1192
+ "loss": 0.4445,
1193
+ "step": 155
1194
+ },
1195
+ {
1196
+ "epoch": 52.0,
1197
+ "learning_rate": 1.192982456140351e-05,
1198
+ "loss": 0.7343,
1199
+ "step": 156
1200
+ },
1201
+ {
1202
+ "epoch": 52.33,
1203
+ "learning_rate": 1.1871345029239766e-05,
1204
+ "loss": 0.4597,
1205
+ "step": 157
1206
+ },
1207
+ {
1208
+ "epoch": 52.67,
1209
+ "learning_rate": 1.1812865497076024e-05,
1210
+ "loss": 0.5019,
1211
+ "step": 158
1212
+ },
1213
+ {
1214
+ "epoch": 53.0,
1215
+ "learning_rate": 1.1754385964912282e-05,
1216
+ "loss": 0.4556,
1217
+ "step": 159
1218
+ },
1219
+ {
1220
+ "epoch": 53.33,
1221
+ "learning_rate": 1.1695906432748539e-05,
1222
+ "loss": 0.4713,
1223
+ "step": 160
1224
+ },
1225
+ {
1226
+ "epoch": 53.33,
1227
+ "eval_accuracy_dropoff": 0.3479047487766214,
1228
+ "eval_accuracy_undropoff": 0.9886552926888718,
1229
+ "eval_accuracy_unlabeled": NaN,
1230
+ "eval_iou_dropoff": 0.27947052255677257,
1231
+ "eval_iou_undropoff": 0.9596627946110987,
1232
+ "eval_iou_unlabeled": NaN,
1233
+ "eval_loss": 0.46686360239982605,
1234
+ "eval_mean_accuracy": 0.6682800207327466,
1235
+ "eval_mean_iou": 0.6195666585839357,
1236
+ "eval_overall_accuracy": 0.960284169514974,
1237
+ "eval_runtime": 1.8139,
1238
+ "eval_samples_per_second": 8.27,
1239
+ "eval_steps_per_second": 0.551,
1240
+ "step": 160
1241
+ },
1242
+ {
1243
+ "epoch": 53.67,
1244
+ "learning_rate": 1.1637426900584797e-05,
1245
+ "loss": 0.4486,
1246
+ "step": 161
1247
+ },
1248
+ {
1249
+ "epoch": 54.0,
1250
+ "learning_rate": 1.1578947368421053e-05,
1251
+ "loss": 0.7127,
1252
+ "step": 162
1253
+ },
1254
+ {
1255
+ "epoch": 54.33,
1256
+ "learning_rate": 1.1520467836257312e-05,
1257
+ "loss": 0.4508,
1258
+ "step": 163
1259
+ },
1260
+ {
1261
+ "epoch": 54.67,
1262
+ "learning_rate": 1.1461988304093568e-05,
1263
+ "loss": 0.4438,
1264
+ "step": 164
1265
+ },
1266
+ {
1267
+ "epoch": 55.0,
1268
+ "learning_rate": 1.1403508771929826e-05,
1269
+ "loss": 0.464,
1270
+ "step": 165
1271
+ },
1272
+ {
1273
+ "epoch": 55.33,
1274
+ "learning_rate": 1.1345029239766083e-05,
1275
+ "loss": 0.4426,
1276
+ "step": 166
1277
+ },
1278
+ {
1279
+ "epoch": 55.67,
1280
+ "learning_rate": 1.128654970760234e-05,
1281
+ "loss": 0.4411,
1282
+ "step": 167
1283
+ },
1284
+ {
1285
+ "epoch": 56.0,
1286
+ "learning_rate": 1.1228070175438597e-05,
1287
+ "loss": 0.71,
1288
+ "step": 168
1289
+ },
1290
+ {
1291
+ "epoch": 56.33,
1292
+ "learning_rate": 1.1169590643274855e-05,
1293
+ "loss": 0.4387,
1294
+ "step": 169
1295
+ },
1296
+ {
1297
+ "epoch": 56.67,
1298
+ "learning_rate": 1.1111111111111113e-05,
1299
+ "loss": 0.4516,
1300
+ "step": 170
1301
+ },
1302
+ {
1303
+ "epoch": 56.67,
1304
+ "eval_accuracy_dropoff": 0.3265214694327659,
1305
+ "eval_accuracy_undropoff": 0.9906150846236295,
1306
+ "eval_accuracy_unlabeled": NaN,
1307
+ "eval_iou_dropoff": 0.2715210912425493,
1308
+ "eval_iou_undropoff": 0.9606413422410078,
1309
+ "eval_iou_unlabeled": 0.0,
1310
+ "eval_loss": 0.4485587179660797,
1311
+ "eval_mean_accuracy": 0.6585682770281976,
1312
+ "eval_mean_iou": 0.41072081116118575,
1313
+ "eval_overall_accuracy": 0.9612103780110677,
1314
+ "eval_runtime": 1.7967,
1315
+ "eval_samples_per_second": 8.349,
1316
+ "eval_steps_per_second": 0.557,
1317
+ "step": 170
1318
+ },
1319
+ {
1320
+ "epoch": 57.0,
1321
+ "learning_rate": 1.105263157894737e-05,
1322
+ "loss": 0.6996,
1323
+ "step": 171
1324
+ },
1325
+ {
1326
+ "epoch": 57.33,
1327
+ "learning_rate": 1.0994152046783626e-05,
1328
+ "loss": 0.456,
1329
+ "step": 172
1330
+ },
1331
+ {
1332
+ "epoch": 57.67,
1333
+ "learning_rate": 1.0935672514619884e-05,
1334
+ "loss": 0.4341,
1335
+ "step": 173
1336
+ },
1337
+ {
1338
+ "epoch": 58.0,
1339
+ "learning_rate": 1.0877192982456142e-05,
1340
+ "loss": 0.7256,
1341
+ "step": 174
1342
+ },
1343
+ {
1344
+ "epoch": 58.33,
1345
+ "learning_rate": 1.0818713450292399e-05,
1346
+ "loss": 0.4225,
1347
+ "step": 175
1348
+ },
1349
+ {
1350
+ "epoch": 58.67,
1351
+ "learning_rate": 1.0760233918128655e-05,
1352
+ "loss": 0.471,
1353
+ "step": 176
1354
+ },
1355
+ {
1356
+ "epoch": 59.0,
1357
+ "learning_rate": 1.0701754385964913e-05,
1358
+ "loss": 0.4369,
1359
+ "step": 177
1360
+ },
1361
+ {
1362
+ "epoch": 59.33,
1363
+ "learning_rate": 1.0643274853801172e-05,
1364
+ "loss": 0.4481,
1365
+ "step": 178
1366
+ },
1367
+ {
1368
+ "epoch": 59.67,
1369
+ "learning_rate": 1.0584795321637428e-05,
1370
+ "loss": 0.4331,
1371
+ "step": 179
1372
+ },
1373
+ {
1374
+ "epoch": 60.0,
1375
+ "learning_rate": 1.0526315789473684e-05,
1376
+ "loss": 0.4059,
1377
+ "step": 180
1378
+ },
1379
+ {
1380
+ "epoch": 60.0,
1381
+ "eval_accuracy_dropoff": 0.31866427734509617,
1382
+ "eval_accuracy_undropoff": 0.9909349311824317,
1383
+ "eval_accuracy_unlabeled": NaN,
1384
+ "eval_iou_dropoff": 0.26651615227572956,
1385
+ "eval_iou_undropoff": 0.9606124109353421,
1386
+ "eval_iou_unlabeled": NaN,
1387
+ "eval_loss": 0.4360799789428711,
1388
+ "eval_mean_accuracy": 0.6547996042637639,
1389
+ "eval_mean_iou": 0.6135642816055358,
1390
+ "eval_overall_accuracy": 0.9611681620279948,
1391
+ "eval_runtime": 1.686,
1392
+ "eval_samples_per_second": 8.897,
1393
+ "eval_steps_per_second": 0.593,
1394
+ "step": 180
1395
+ },
1396
+ {
1397
+ "epoch": 60.33,
1398
+ "learning_rate": 1.0467836257309943e-05,
1399
+ "loss": 0.4479,
1400
+ "step": 181
1401
+ },
1402
+ {
1403
+ "epoch": 60.67,
1404
+ "learning_rate": 1.04093567251462e-05,
1405
+ "loss": 0.4304,
1406
+ "step": 182
1407
+ },
1408
+ {
1409
+ "epoch": 61.0,
1410
+ "learning_rate": 1.0350877192982459e-05,
1411
+ "loss": 0.4971,
1412
+ "step": 183
1413
+ },
1414
+ {
1415
+ "epoch": 61.33,
1416
+ "learning_rate": 1.0292397660818714e-05,
1417
+ "loss": 0.4302,
1418
+ "step": 184
1419
+ },
1420
+ {
1421
+ "epoch": 61.67,
1422
+ "learning_rate": 1.0233918128654972e-05,
1423
+ "loss": 0.4735,
1424
+ "step": 185
1425
+ },
1426
+ {
1427
+ "epoch": 62.0,
1428
+ "learning_rate": 1.017543859649123e-05,
1429
+ "loss": 0.3974,
1430
+ "step": 186
1431
+ },
1432
+ {
1433
+ "epoch": 62.33,
1434
+ "learning_rate": 1.0116959064327488e-05,
1435
+ "loss": 0.4172,
1436
+ "step": 187
1437
+ },
1438
+ {
1439
+ "epoch": 62.67,
1440
+ "learning_rate": 1.0058479532163743e-05,
1441
+ "loss": 0.4458,
1442
+ "step": 188
1443
+ },
1444
+ {
1445
+ "epoch": 63.0,
1446
+ "learning_rate": 1e-05,
1447
+ "loss": 0.6849,
1448
+ "step": 189
1449
+ },
1450
+ {
1451
+ "epoch": 63.33,
1452
+ "learning_rate": 9.941520467836257e-06,
1453
+ "loss": 0.4142,
1454
+ "step": 190
1455
+ },
1456
+ {
1457
+ "epoch": 63.33,
1458
+ "eval_accuracy_dropoff": 0.3088657614813794,
1459
+ "eval_accuracy_undropoff": 0.9917302900545283,
1460
+ "eval_accuracy_unlabeled": NaN,
1461
+ "eval_iou_dropoff": 0.2620841577885431,
1462
+ "eval_iou_undropoff": 0.9609605443916848,
1463
+ "eval_iou_unlabeled": NaN,
1464
+ "eval_loss": 0.42670688033103943,
1465
+ "eval_mean_accuracy": 0.6502980257679538,
1466
+ "eval_mean_iou": 0.611522351090114,
1467
+ "eval_overall_accuracy": 0.9614944458007812,
1468
+ "eval_runtime": 1.7659,
1469
+ "eval_samples_per_second": 8.494,
1470
+ "eval_steps_per_second": 0.566,
1471
+ "step": 190
1472
+ },
1473
+ {
1474
+ "epoch": 63.67,
1475
+ "learning_rate": 9.883040935672515e-06,
1476
+ "loss": 0.4708,
1477
+ "step": 191
1478
+ },
1479
+ {
1480
+ "epoch": 64.0,
1481
+ "learning_rate": 9.824561403508772e-06,
1482
+ "loss": 0.6601,
1483
+ "step": 192
1484
+ },
1485
+ {
1486
+ "epoch": 64.33,
1487
+ "learning_rate": 9.76608187134503e-06,
1488
+ "loss": 0.4291,
1489
+ "step": 193
1490
+ },
1491
+ {
1492
+ "epoch": 64.67,
1493
+ "learning_rate": 9.707602339181286e-06,
1494
+ "loss": 0.4169,
1495
+ "step": 194
1496
+ },
1497
+ {
1498
+ "epoch": 65.0,
1499
+ "learning_rate": 9.649122807017545e-06,
1500
+ "loss": 0.4025,
1501
+ "step": 195
1502
+ },
1503
+ {
1504
+ "epoch": 65.33,
1505
+ "learning_rate": 9.590643274853801e-06,
1506
+ "loss": 0.415,
1507
+ "step": 196
1508
+ },
1509
+ {
1510
+ "epoch": 65.67,
1511
+ "learning_rate": 9.532163742690059e-06,
1512
+ "loss": 0.4125,
1513
+ "step": 197
1514
+ },
1515
+ {
1516
+ "epoch": 66.0,
1517
+ "learning_rate": 9.473684210526315e-06,
1518
+ "loss": 0.4011,
1519
+ "step": 198
1520
+ },
1521
+ {
1522
+ "epoch": 66.33,
1523
+ "learning_rate": 9.415204678362574e-06,
1524
+ "loss": 0.3921,
1525
+ "step": 199
1526
+ },
1527
+ {
1528
+ "epoch": 66.67,
1529
+ "learning_rate": 9.35672514619883e-06,
1530
+ "loss": 0.4393,
1531
+ "step": 200
1532
+ },
1533
+ {
1534
+ "epoch": 66.67,
1535
+ "eval_accuracy_dropoff": 0.2767822271233947,
1536
+ "eval_accuracy_undropoff": 0.9940290874101795,
1537
+ "eval_accuracy_unlabeled": NaN,
1538
+ "eval_iou_dropoff": 0.24518308597943494,
1539
+ "eval_iou_undropoff": 0.9618027430695911,
1540
+ "eval_iou_unlabeled": NaN,
1541
+ "eval_loss": 0.4188476800918579,
1542
+ "eval_mean_accuracy": 0.6354056572667871,
1543
+ "eval_mean_iou": 0.603492914524513,
1544
+ "eval_overall_accuracy": 0.9622708638509114,
1545
+ "eval_runtime": 1.8501,
1546
+ "eval_samples_per_second": 8.108,
1547
+ "eval_steps_per_second": 0.541,
1548
+ "step": 200
1549
+ },
1550
+ {
1551
+ "epoch": 67.0,
1552
+ "learning_rate": 9.298245614035088e-06,
1553
+ "loss": 0.669,
1554
+ "step": 201
1555
+ },
1556
+ {
1557
+ "epoch": 67.33,
1558
+ "learning_rate": 9.239766081871345e-06,
1559
+ "loss": 0.4048,
1560
+ "step": 202
1561
+ },
1562
+ {
1563
+ "epoch": 67.67,
1564
+ "learning_rate": 9.181286549707603e-06,
1565
+ "loss": 0.4138,
1566
+ "step": 203
1567
+ },
1568
+ {
1569
+ "epoch": 68.0,
1570
+ "learning_rate": 9.12280701754386e-06,
1571
+ "loss": 0.3792,
1572
+ "step": 204
1573
+ },
1574
+ {
1575
+ "epoch": 68.33,
1576
+ "learning_rate": 9.064327485380117e-06,
1577
+ "loss": 0.4212,
1578
+ "step": 205
1579
+ },
1580
+ {
1581
+ "epoch": 68.67,
1582
+ "learning_rate": 9.005847953216374e-06,
1583
+ "loss": 0.4216,
1584
+ "step": 206
1585
+ },
1586
+ {
1587
+ "epoch": 69.0,
1588
+ "learning_rate": 8.947368421052632e-06,
1589
+ "loss": 0.6528,
1590
+ "step": 207
1591
+ },
1592
+ {
1593
+ "epoch": 69.33,
1594
+ "learning_rate": 8.888888888888888e-06,
1595
+ "loss": 0.4081,
1596
+ "step": 208
1597
+ },
1598
+ {
1599
+ "epoch": 69.67,
1600
+ "learning_rate": 8.830409356725146e-06,
1601
+ "loss": 0.4353,
1602
+ "step": 209
1603
+ },
1604
+ {
1605
+ "epoch": 70.0,
1606
+ "learning_rate": 8.771929824561405e-06,
1607
+ "loss": 0.4071,
1608
+ "step": 210
1609
+ },
1610
+ {
1611
+ "epoch": 70.0,
1612
+ "eval_accuracy_dropoff": 0.31381096790497853,
1613
+ "eval_accuracy_undropoff": 0.9917361441512784,
1614
+ "eval_accuracy_unlabeled": NaN,
1615
+ "eval_iou_dropoff": 0.2663089040962352,
1616
+ "eval_iou_undropoff": 0.9611795984188876,
1617
+ "eval_iou_unlabeled": NaN,
1618
+ "eval_loss": 0.422432005405426,
1619
+ "eval_mean_accuracy": 0.6527735560281285,
1620
+ "eval_mean_iou": 0.6137442512575614,
1621
+ "eval_overall_accuracy": 0.961719004313151,
1622
+ "eval_runtime": 1.7566,
1623
+ "eval_samples_per_second": 8.539,
1624
+ "eval_steps_per_second": 0.569,
1625
+ "step": 210
1626
+ },
1627
+ {
1628
+ "epoch": 70.33,
1629
+ "learning_rate": 8.713450292397661e-06,
1630
+ "loss": 0.3994,
1631
+ "step": 211
1632
+ },
1633
+ {
1634
+ "epoch": 70.67,
1635
+ "learning_rate": 8.654970760233919e-06,
1636
+ "loss": 0.4181,
1637
+ "step": 212
1638
+ },
1639
+ {
1640
+ "epoch": 71.0,
1641
+ "learning_rate": 8.596491228070176e-06,
1642
+ "loss": 0.6651,
1643
+ "step": 213
1644
+ },
1645
+ {
1646
+ "epoch": 71.33,
1647
+ "learning_rate": 8.538011695906434e-06,
1648
+ "loss": 0.4053,
1649
+ "step": 214
1650
+ },
1651
+ {
1652
+ "epoch": 71.67,
1653
+ "learning_rate": 8.47953216374269e-06,
1654
+ "loss": 0.4051,
1655
+ "step": 215
1656
+ },
1657
+ {
1658
+ "epoch": 72.0,
1659
+ "learning_rate": 8.421052631578948e-06,
1660
+ "loss": 0.6544,
1661
+ "step": 216
1662
+ },
1663
+ {
1664
+ "epoch": 72.33,
1665
+ "learning_rate": 8.362573099415205e-06,
1666
+ "loss": 0.3965,
1667
+ "step": 217
1668
+ },
1669
+ {
1670
+ "epoch": 72.67,
1671
+ "learning_rate": 8.304093567251463e-06,
1672
+ "loss": 0.4129,
1673
+ "step": 218
1674
+ },
1675
+ {
1676
+ "epoch": 73.0,
1677
+ "learning_rate": 8.24561403508772e-06,
1678
+ "loss": 0.629,
1679
+ "step": 219
1680
+ },
1681
+ {
1682
+ "epoch": 73.33,
1683
+ "learning_rate": 8.187134502923977e-06,
1684
+ "loss": 0.4009,
1685
+ "step": 220
1686
+ },
1687
+ {
1688
+ "epoch": 73.33,
1689
+ "eval_accuracy_dropoff": 0.3167344406919843,
1690
+ "eval_accuracy_undropoff": 0.991247327072643,
1691
+ "eval_accuracy_unlabeled": NaN,
1692
+ "eval_iou_dropoff": 0.2664045101231395,
1693
+ "eval_iou_undropoff": 0.9608319701708583,
1694
+ "eval_iou_unlabeled": NaN,
1695
+ "eval_loss": 0.42051607370376587,
1696
+ "eval_mean_accuracy": 0.6539908838823136,
1697
+ "eval_mean_iou": 0.613618240146999,
1698
+ "eval_overall_accuracy": 0.9613812764485677,
1699
+ "eval_runtime": 1.867,
1700
+ "eval_samples_per_second": 8.034,
1701
+ "eval_steps_per_second": 0.536,
1702
+ "step": 220
1703
+ },
1704
+ {
1705
+ "epoch": 73.67,
1706
+ "learning_rate": 8.128654970760235e-06,
1707
+ "loss": 0.3928,
1708
+ "step": 221
1709
+ },
1710
+ {
1711
+ "epoch": 74.0,
1712
+ "learning_rate": 8.070175438596492e-06,
1713
+ "loss": 0.4003,
1714
+ "step": 222
1715
+ },
1716
+ {
1717
+ "epoch": 74.33,
1718
+ "learning_rate": 8.01169590643275e-06,
1719
+ "loss": 0.4068,
1720
+ "step": 223
1721
+ },
1722
+ {
1723
+ "epoch": 74.67,
1724
+ "learning_rate": 7.953216374269006e-06,
1725
+ "loss": 0.3951,
1726
+ "step": 224
1727
+ },
1728
+ {
1729
+ "epoch": 75.0,
1730
+ "learning_rate": 7.894736842105265e-06,
1731
+ "loss": 0.3757,
1732
+ "step": 225
1733
+ },
1734
+ {
1735
+ "epoch": 75.33,
1736
+ "learning_rate": 7.836257309941521e-06,
1737
+ "loss": 0.4151,
1738
+ "step": 226
1739
+ },
1740
+ {
1741
+ "epoch": 75.67,
1742
+ "learning_rate": 7.77777777777778e-06,
1743
+ "loss": 0.3908,
1744
+ "step": 227
1745
+ },
1746
+ {
1747
+ "epoch": 76.0,
1748
+ "learning_rate": 7.719298245614036e-06,
1749
+ "loss": 0.3951,
1750
+ "step": 228
1751
+ },
1752
+ {
1753
+ "epoch": 76.33,
1754
+ "learning_rate": 7.660818713450294e-06,
1755
+ "loss": 0.3945,
1756
+ "step": 229
1757
+ },
1758
+ {
1759
+ "epoch": 76.67,
1760
+ "learning_rate": 7.60233918128655e-06,
1761
+ "loss": 0.4043,
1762
+ "step": 230
1763
+ },
1764
+ {
1765
+ "epoch": 76.67,
1766
+ "eval_accuracy_dropoff": 0.3107553932042181,
1767
+ "eval_accuracy_undropoff": 0.9920240592732618,
1768
+ "eval_accuracy_unlabeled": NaN,
1769
+ "eval_iou_dropoff": 0.265114022794759,
1770
+ "eval_iou_undropoff": 0.961326747557732,
1771
+ "eval_iou_unlabeled": NaN,
1772
+ "eval_loss": 0.4147787392139435,
1773
+ "eval_mean_accuracy": 0.6513897262387399,
1774
+ "eval_mean_iou": 0.6132203851762454,
1775
+ "eval_overall_accuracy": 0.9618588765462239,
1776
+ "eval_runtime": 1.7618,
1777
+ "eval_samples_per_second": 8.514,
1778
+ "eval_steps_per_second": 0.568,
1779
+ "step": 230
1780
+ },
1781
+ {
1782
+ "epoch": 77.0,
1783
+ "learning_rate": 7.5438596491228074e-06,
1784
+ "loss": 0.3996,
1785
+ "step": 231
1786
+ },
1787
+ {
1788
+ "epoch": 77.33,
1789
+ "learning_rate": 7.485380116959065e-06,
1790
+ "loss": 0.3915,
1791
+ "step": 232
1792
+ },
1793
+ {
1794
+ "epoch": 77.67,
1795
+ "learning_rate": 7.426900584795322e-06,
1796
+ "loss": 0.3897,
1797
+ "step": 233
1798
+ },
1799
+ {
1800
+ "epoch": 78.0,
1801
+ "learning_rate": 7.368421052631579e-06,
1802
+ "loss": 0.6263,
1803
+ "step": 234
1804
+ },
1805
+ {
1806
+ "epoch": 78.33,
1807
+ "learning_rate": 7.309941520467837e-06,
1808
+ "loss": 0.3799,
1809
+ "step": 235
1810
+ },
1811
+ {
1812
+ "epoch": 78.67,
1813
+ "learning_rate": 7.251461988304094e-06,
1814
+ "loss": 0.426,
1815
+ "step": 236
1816
+ },
1817
+ {
1818
+ "epoch": 79.0,
1819
+ "learning_rate": 7.192982456140352e-06,
1820
+ "loss": 0.3634,
1821
+ "step": 237
1822
+ },
1823
+ {
1824
+ "epoch": 79.33,
1825
+ "learning_rate": 7.134502923976608e-06,
1826
+ "loss": 0.3855,
1827
+ "step": 238
1828
+ },
1829
+ {
1830
+ "epoch": 79.67,
1831
+ "learning_rate": 7.0760233918128665e-06,
1832
+ "loss": 0.3971,
1833
+ "step": 239
1834
+ },
1835
+ {
1836
+ "epoch": 80.0,
1837
+ "learning_rate": 7.017543859649123e-06,
1838
+ "loss": 0.6302,
1839
+ "step": 240
1840
+ },
1841
+ {
1842
+ "epoch": 80.0,
1843
+ "eval_accuracy_dropoff": 0.3104911893767087,
1844
+ "eval_accuracy_undropoff": 0.9920998964357066,
1845
+ "eval_accuracy_unlabeled": NaN,
1846
+ "eval_iou_dropoff": 0.26525905680652806,
1847
+ "eval_iou_undropoff": 0.9613888343805383,
1848
+ "eval_iou_unlabeled": NaN,
1849
+ "eval_loss": 0.41156673431396484,
1850
+ "eval_mean_accuracy": 0.6512955429062077,
1851
+ "eval_mean_iou": 0.6133239455935332,
1852
+ "eval_overall_accuracy": 0.961919657389323,
1853
+ "eval_runtime": 1.7273,
1854
+ "eval_samples_per_second": 8.684,
1855
+ "eval_steps_per_second": 0.579,
1856
+ "step": 240
1857
+ },
1858
+ {
1859
+ "epoch": 80.33,
1860
+ "learning_rate": 6.959064327485381e-06,
1861
+ "loss": 0.3876,
1862
+ "step": 241
1863
+ },
1864
+ {
1865
+ "epoch": 80.67,
1866
+ "learning_rate": 6.9005847953216375e-06,
1867
+ "loss": 0.3886,
1868
+ "step": 242
1869
+ },
1870
+ {
1871
+ "epoch": 81.0,
1872
+ "learning_rate": 6.842105263157896e-06,
1873
+ "loss": 0.3851,
1874
+ "step": 243
1875
+ },
1876
+ {
1877
+ "epoch": 81.33,
1878
+ "learning_rate": 6.783625730994152e-06,
1879
+ "loss": 0.3875,
1880
+ "step": 244
1881
+ },
1882
+ {
1883
+ "epoch": 81.67,
1884
+ "learning_rate": 6.72514619883041e-06,
1885
+ "loss": 0.3796,
1886
+ "step": 245
1887
+ },
1888
+ {
1889
+ "epoch": 82.0,
1890
+ "learning_rate": 6.666666666666667e-06,
1891
+ "loss": 0.6854,
1892
+ "step": 246
1893
+ },
1894
+ {
1895
+ "epoch": 82.33,
1896
+ "learning_rate": 6.608187134502925e-06,
1897
+ "loss": 0.3814,
1898
+ "step": 247
1899
+ },
1900
+ {
1901
+ "epoch": 82.67,
1902
+ "learning_rate": 6.549707602339181e-06,
1903
+ "loss": 0.3889,
1904
+ "step": 248
1905
+ },
1906
+ {
1907
+ "epoch": 83.0,
1908
+ "learning_rate": 6.491228070175439e-06,
1909
+ "loss": 0.3922,
1910
+ "step": 249
1911
+ },
1912
+ {
1913
+ "epoch": 83.33,
1914
+ "learning_rate": 6.432748538011696e-06,
1915
+ "loss": 0.3859,
1916
+ "step": 250
1917
+ },
1918
+ {
1919
+ "epoch": 83.33,
1920
+ "eval_accuracy_dropoff": 0.3173777195763549,
1921
+ "eval_accuracy_undropoff": 0.9913138508993489,
1922
+ "eval_accuracy_unlabeled": NaN,
1923
+ "eval_iou_dropoff": 0.26726835662221704,
1924
+ "eval_iou_undropoff": 0.9609242121673439,
1925
+ "eval_iou_unlabeled": NaN,
1926
+ "eval_loss": 0.4113296866416931,
1927
+ "eval_mean_accuracy": 0.6543457852378519,
1928
+ "eval_mean_iou": 0.6140962843947805,
1929
+ "eval_overall_accuracy": 0.9614733378092448,
1930
+ "eval_runtime": 1.7765,
1931
+ "eval_samples_per_second": 8.444,
1932
+ "eval_steps_per_second": 0.563,
1933
+ "step": 250
1934
+ },
1935
+ {
1936
+ "epoch": 83.67,
1937
+ "learning_rate": 6.374269005847954e-06,
1938
+ "loss": 0.3859,
1939
+ "step": 251
1940
+ },
1941
+ {
1942
+ "epoch": 84.0,
1943
+ "learning_rate": 6.31578947368421e-06,
1944
+ "loss": 0.3474,
1945
+ "step": 252
1946
+ },
1947
+ {
1948
+ "epoch": 84.33,
1949
+ "learning_rate": 6.2573099415204685e-06,
1950
+ "loss": 0.377,
1951
+ "step": 253
1952
+ },
1953
+ {
1954
+ "epoch": 84.67,
1955
+ "learning_rate": 6.198830409356725e-06,
1956
+ "loss": 0.4041,
1957
+ "step": 254
1958
+ },
1959
+ {
1960
+ "epoch": 85.0,
1961
+ "learning_rate": 6.140350877192983e-06,
1962
+ "loss": 0.3824,
1963
+ "step": 255
1964
+ },
1965
+ {
1966
+ "epoch": 85.33,
1967
+ "learning_rate": 6.08187134502924e-06,
1968
+ "loss": 0.4135,
1969
+ "step": 256
1970
+ },
1971
+ {
1972
+ "epoch": 85.67,
1973
+ "learning_rate": 6.023391812865498e-06,
1974
+ "loss": 0.3715,
1975
+ "step": 257
1976
+ },
1977
+ {
1978
+ "epoch": 86.0,
1979
+ "learning_rate": 5.964912280701755e-06,
1980
+ "loss": 0.3602,
1981
+ "step": 258
1982
+ },
1983
+ {
1984
+ "epoch": 86.33,
1985
+ "learning_rate": 5.906432748538012e-06,
1986
+ "loss": 0.3684,
1987
+ "step": 259
1988
+ },
1989
+ {
1990
+ "epoch": 86.67,
1991
+ "learning_rate": 5.847953216374269e-06,
1992
+ "loss": 0.3791,
1993
+ "step": 260
1994
+ },
1995
+ {
1996
+ "epoch": 86.67,
1997
+ "eval_accuracy_dropoff": 0.278223861051761,
1998
+ "eval_accuracy_undropoff": 0.9940320144585546,
1999
+ "eval_accuracy_unlabeled": NaN,
2000
+ "eval_iou_dropoff": 0.24647392844059104,
2001
+ "eval_iou_undropoff": 0.9618677355390541,
2002
+ "eval_iou_unlabeled": NaN,
2003
+ "eval_loss": 0.4033331573009491,
2004
+ "eval_mean_accuracy": 0.6361279377551579,
2005
+ "eval_mean_iou": 0.6041708319898226,
2006
+ "eval_overall_accuracy": 0.9623374938964844,
2007
+ "eval_runtime": 1.68,
2008
+ "eval_samples_per_second": 8.928,
2009
+ "eval_steps_per_second": 0.595,
2010
+ "step": 260
2011
+ },
2012
+ {
2013
+ "epoch": 87.0,
2014
+ "learning_rate": 5.789473684210527e-06,
2015
+ "loss": 0.6619,
2016
+ "step": 261
2017
+ },
2018
+ {
2019
+ "epoch": 87.33,
2020
+ "learning_rate": 5.730994152046784e-06,
2021
+ "loss": 0.3884,
2022
+ "step": 262
2023
+ },
2024
+ {
2025
+ "epoch": 87.67,
2026
+ "learning_rate": 5.672514619883041e-06,
2027
+ "loss": 0.3966,
2028
+ "step": 263
2029
+ },
2030
+ {
2031
+ "epoch": 88.0,
2032
+ "learning_rate": 5.6140350877192985e-06,
2033
+ "loss": 0.3558,
2034
+ "step": 264
2035
+ },
2036
+ {
2037
+ "epoch": 88.33,
2038
+ "learning_rate": 5.555555555555557e-06,
2039
+ "loss": 0.3794,
2040
+ "step": 265
2041
+ },
2042
+ {
2043
+ "epoch": 88.67,
2044
+ "learning_rate": 5.497076023391813e-06,
2045
+ "loss": 0.3904,
2046
+ "step": 266
2047
+ },
2048
+ {
2049
+ "epoch": 89.0,
2050
+ "learning_rate": 5.438596491228071e-06,
2051
+ "loss": 0.3461,
2052
+ "step": 267
2053
+ },
2054
+ {
2055
+ "epoch": 89.33,
2056
+ "learning_rate": 5.380116959064328e-06,
2057
+ "loss": 0.3826,
2058
+ "step": 268
2059
+ },
2060
+ {
2061
+ "epoch": 89.67,
2062
+ "learning_rate": 5.321637426900586e-06,
2063
+ "loss": 0.3937,
2064
+ "step": 269
2065
+ },
2066
+ {
2067
+ "epoch": 90.0,
2068
+ "learning_rate": 5.263157894736842e-06,
2069
+ "loss": 0.5716,
2070
+ "step": 270
2071
+ },
2072
+ {
2073
+ "epoch": 90.0,
2074
+ "eval_accuracy_dropoff": 0.3237243549980472,
2075
+ "eval_accuracy_undropoff": 0.9912779280329277,
2076
+ "eval_accuracy_unlabeled": NaN,
2077
+ "eval_iou_dropoff": 0.27243506085477026,
2078
+ "eval_iou_undropoff": 0.9611633426621673,
2079
+ "eval_iou_unlabeled": NaN,
2080
+ "eval_loss": 0.4087795615196228,
2081
+ "eval_mean_accuracy": 0.6575011415154874,
2082
+ "eval_mean_iou": 0.6167992017584688,
2083
+ "eval_overall_accuracy": 0.9617200215657552,
2084
+ "eval_runtime": 1.8296,
2085
+ "eval_samples_per_second": 8.199,
2086
+ "eval_steps_per_second": 0.547,
2087
+ "step": 270
2088
+ },
2089
+ {
2090
+ "epoch": 90.33,
2091
+ "learning_rate": 5.2046783625731e-06,
2092
+ "loss": 0.3782,
2093
+ "step": 271
2094
+ },
2095
+ {
2096
+ "epoch": 90.67,
2097
+ "learning_rate": 5.146198830409357e-06,
2098
+ "loss": 0.3905,
2099
+ "step": 272
2100
+ },
2101
+ {
2102
+ "epoch": 91.0,
2103
+ "learning_rate": 5.087719298245615e-06,
2104
+ "loss": 0.6109,
2105
+ "step": 273
2106
+ },
2107
+ {
2108
+ "epoch": 91.33,
2109
+ "learning_rate": 5.029239766081871e-06,
2110
+ "loss": 0.3883,
2111
+ "step": 274
2112
+ },
2113
+ {
2114
+ "epoch": 91.67,
2115
+ "learning_rate": 4.970760233918129e-06,
2116
+ "loss": 0.3683,
2117
+ "step": 275
2118
+ },
2119
+ {
2120
+ "epoch": 92.0,
2121
+ "learning_rate": 4.912280701754386e-06,
2122
+ "loss": 0.3911,
2123
+ "step": 276
2124
+ },
2125
+ {
2126
+ "epoch": 92.33,
2127
+ "learning_rate": 4.853801169590643e-06,
2128
+ "loss": 0.3763,
2129
+ "step": 277
2130
+ },
2131
+ {
2132
+ "epoch": 92.67,
2133
+ "learning_rate": 4.7953216374269005e-06,
2134
+ "loss": 0.3672,
2135
+ "step": 278
2136
+ },
2137
+ {
2138
+ "epoch": 93.0,
2139
+ "learning_rate": 4.736842105263158e-06,
2140
+ "loss": 0.4146,
2141
+ "step": 279
2142
+ },
2143
+ {
2144
+ "epoch": 93.33,
2145
+ "learning_rate": 4.678362573099415e-06,
2146
+ "loss": 0.3803,
2147
+ "step": 280
2148
+ },
2149
+ {
2150
+ "epoch": 93.33,
2151
+ "eval_accuracy_dropoff": 0.32113975233762954,
2152
+ "eval_accuracy_undropoff": 0.991769938255245,
2153
+ "eval_accuracy_unlabeled": NaN,
2154
+ "eval_iou_dropoff": 0.27269712295829535,
2155
+ "eval_iou_undropoff": 0.9615287673876304,
2156
+ "eval_iou_unlabeled": NaN,
2157
+ "eval_loss": 0.4023641347885132,
2158
+ "eval_mean_accuracy": 0.6564548452964373,
2159
+ "eval_mean_iou": 0.6171129451729629,
2160
+ "eval_overall_accuracy": 0.9620758056640625,
2161
+ "eval_runtime": 1.8601,
2162
+ "eval_samples_per_second": 8.064,
2163
+ "eval_steps_per_second": 0.538,
2164
+ "step": 280
2165
+ },
2166
+ {
2167
+ "epoch": 93.67,
2168
+ "learning_rate": 4.619883040935672e-06,
2169
+ "loss": 0.3645,
2170
+ "step": 281
2171
+ },
2172
+ {
2173
+ "epoch": 94.0,
2174
+ "learning_rate": 4.56140350877193e-06,
2175
+ "loss": 0.5711,
2176
+ "step": 282
2177
+ },
2178
+ {
2179
+ "epoch": 94.33,
2180
+ "learning_rate": 4.502923976608187e-06,
2181
+ "loss": 0.3857,
2182
+ "step": 283
2183
+ },
2184
+ {
2185
+ "epoch": 94.67,
2186
+ "learning_rate": 4.444444444444444e-06,
2187
+ "loss": 0.3704,
2188
+ "step": 284
2189
+ },
2190
+ {
2191
+ "epoch": 95.0,
2192
+ "learning_rate": 4.385964912280702e-06,
2193
+ "loss": 0.3785,
2194
+ "step": 285
2195
+ },
2196
+ {
2197
+ "epoch": 95.33,
2198
+ "learning_rate": 4.3274853801169596e-06,
2199
+ "loss": 0.3766,
2200
+ "step": 286
2201
+ },
2202
+ {
2203
+ "epoch": 95.67,
2204
+ "learning_rate": 4.269005847953217e-06,
2205
+ "loss": 0.3818,
2206
+ "step": 287
2207
+ },
2208
+ {
2209
+ "epoch": 96.0,
2210
+ "learning_rate": 4.210526315789474e-06,
2211
+ "loss": 0.3488,
2212
+ "step": 288
2213
+ },
2214
+ {
2215
+ "epoch": 96.33,
2216
+ "learning_rate": 4.152046783625731e-06,
2217
+ "loss": 0.367,
2218
+ "step": 289
2219
+ },
2220
+ {
2221
+ "epoch": 96.67,
2222
+ "learning_rate": 4.093567251461989e-06,
2223
+ "loss": 0.371,
2224
+ "step": 290
2225
+ },
2226
+ {
2227
+ "epoch": 96.67,
2228
+ "eval_accuracy_dropoff": 0.31540767799296987,
2229
+ "eval_accuracy_undropoff": 0.992470833293419,
2230
+ "eval_accuracy_unlabeled": NaN,
2231
+ "eval_iou_dropoff": 0.27131514849088206,
2232
+ "eval_iou_undropoff": 0.9619606189446372,
2233
+ "eval_iou_unlabeled": NaN,
2234
+ "eval_loss": 0.3979186713695526,
2235
+ "eval_mean_accuracy": 0.6539392556431944,
2236
+ "eval_mean_iou": 0.6166378837177596,
2237
+ "eval_overall_accuracy": 0.9624918619791667,
2238
+ "eval_runtime": 1.7017,
2239
+ "eval_samples_per_second": 8.815,
2240
+ "eval_steps_per_second": 0.588,
2241
+ "step": 290
2242
+ },
2243
+ {
2244
+ "epoch": 97.0,
2245
+ "learning_rate": 4.035087719298246e-06,
2246
+ "loss": 0.3744,
2247
+ "step": 291
2248
+ },
2249
+ {
2250
+ "epoch": 97.33,
2251
+ "learning_rate": 3.976608187134503e-06,
2252
+ "loss": 0.3645,
2253
+ "step": 292
2254
+ },
2255
+ {
2256
+ "epoch": 97.67,
2257
+ "learning_rate": 3.9181286549707605e-06,
2258
+ "loss": 0.3771,
2259
+ "step": 293
2260
+ },
2261
+ {
2262
+ "epoch": 98.0,
2263
+ "learning_rate": 3.859649122807018e-06,
2264
+ "loss": 0.3987,
2265
+ "step": 294
2266
+ },
2267
+ {
2268
+ "epoch": 98.33,
2269
+ "learning_rate": 3.801169590643275e-06,
2270
+ "loss": 0.3906,
2271
+ "step": 295
2272
+ },
2273
+ {
2274
+ "epoch": 98.67,
2275
+ "learning_rate": 3.7426900584795324e-06,
2276
+ "loss": 0.3508,
2277
+ "step": 296
2278
+ },
2279
+ {
2280
+ "epoch": 99.0,
2281
+ "learning_rate": 3.6842105263157896e-06,
2282
+ "loss": 0.5944,
2283
+ "step": 297
2284
+ },
2285
+ {
2286
+ "epoch": 99.33,
2287
+ "learning_rate": 3.625730994152047e-06,
2288
+ "loss": 0.3811,
2289
+ "step": 298
2290
+ },
2291
+ {
2292
+ "epoch": 99.67,
2293
+ "learning_rate": 3.567251461988304e-06,
2294
+ "loss": 0.3551,
2295
+ "step": 299
2296
+ },
2297
+ {
2298
+ "epoch": 100.0,
2299
+ "learning_rate": 3.5087719298245615e-06,
2300
+ "loss": 0.3656,
2301
+ "step": 300
2302
+ },
2303
+ {
2304
+ "epoch": 100.0,
2305
+ "eval_accuracy_dropoff": 0.3316332391389253,
2306
+ "eval_accuracy_undropoff": 0.9913191728054854,
2307
+ "eval_accuracy_unlabeled": NaN,
2308
+ "eval_iou_dropoff": 0.2793001533393637,
2309
+ "eval_iou_undropoff": 0.9615449538253468,
2310
+ "eval_iou_unlabeled": NaN,
2311
+ "eval_loss": 0.399229496717453,
2312
+ "eval_mean_accuracy": 0.6614762059722054,
2313
+ "eval_mean_iou": 0.6204225535823552,
2314
+ "eval_overall_accuracy": 0.962109629313151,
2315
+ "eval_runtime": 2.007,
2316
+ "eval_samples_per_second": 7.474,
2317
+ "eval_steps_per_second": 0.498,
2318
+ "step": 300
2319
+ },
2320
+ {
2321
+ "epoch": 100.33,
2322
+ "learning_rate": 3.4502923976608188e-06,
2323
+ "loss": 0.3867,
2324
+ "step": 301
2325
+ },
2326
+ {
2327
+ "epoch": 100.67,
2328
+ "learning_rate": 3.391812865497076e-06,
2329
+ "loss": 0.3689,
2330
+ "step": 302
2331
+ },
2332
+ {
2333
+ "epoch": 101.0,
2334
+ "learning_rate": 3.3333333333333333e-06,
2335
+ "loss": 0.3547,
2336
+ "step": 303
2337
+ },
2338
+ {
2339
+ "epoch": 101.33,
2340
+ "learning_rate": 3.2748538011695906e-06,
2341
+ "loss": 0.3687,
2342
+ "step": 304
2343
+ },
2344
+ {
2345
+ "epoch": 101.67,
2346
+ "learning_rate": 3.216374269005848e-06,
2347
+ "loss": 0.3784,
2348
+ "step": 305
2349
+ },
2350
+ {
2351
+ "epoch": 102.0,
2352
+ "learning_rate": 3.157894736842105e-06,
2353
+ "loss": 0.3557,
2354
+ "step": 306
2355
+ },
2356
+ {
2357
+ "epoch": 102.33,
2358
+ "learning_rate": 3.0994152046783624e-06,
2359
+ "loss": 0.3867,
2360
+ "step": 307
2361
+ },
2362
+ {
2363
+ "epoch": 102.67,
2364
+ "learning_rate": 3.04093567251462e-06,
2365
+ "loss": 0.3777,
2366
+ "step": 308
2367
+ },
2368
+ {
2369
+ "epoch": 103.0,
2370
+ "learning_rate": 2.9824561403508774e-06,
2371
+ "loss": 0.3422,
2372
+ "step": 309
2373
+ },
2374
+ {
2375
+ "epoch": 103.33,
2376
+ "learning_rate": 2.9239766081871347e-06,
2377
+ "loss": 0.3674,
2378
+ "step": 310
2379
+ },
2380
+ {
2381
+ "epoch": 103.33,
2382
+ "eval_accuracy_dropoff": 0.2925023548602017,
2383
+ "eval_accuracy_undropoff": 0.994085765710533,
2384
+ "eval_accuracy_unlabeled": NaN,
2385
+ "eval_iou_dropoff": 0.2593896115802663,
2386
+ "eval_iou_undropoff": 0.962535874553267,
2387
+ "eval_iou_unlabeled": NaN,
2388
+ "eval_loss": 0.3929786682128906,
2389
+ "eval_mean_accuracy": 0.6432940602853674,
2390
+ "eval_mean_iou": 0.6109627430667666,
2391
+ "eval_overall_accuracy": 0.9630210876464844,
2392
+ "eval_runtime": 1.7736,
2393
+ "eval_samples_per_second": 8.458,
2394
+ "eval_steps_per_second": 0.564,
2395
+ "step": 310
2396
+ },
2397
+ {
2398
+ "epoch": 103.67,
2399
+ "learning_rate": 2.865497076023392e-06,
2400
+ "loss": 0.3616,
2401
+ "step": 311
2402
+ },
2403
+ {
2404
+ "epoch": 104.0,
2405
+ "learning_rate": 2.8070175438596493e-06,
2406
+ "loss": 0.6056,
2407
+ "step": 312
2408
+ },
2409
+ {
2410
+ "epoch": 104.33,
2411
+ "learning_rate": 2.7485380116959066e-06,
2412
+ "loss": 0.3567,
2413
+ "step": 313
2414
+ },
2415
+ {
2416
+ "epoch": 104.67,
2417
+ "learning_rate": 2.690058479532164e-06,
2418
+ "loss": 0.369,
2419
+ "step": 314
2420
+ },
2421
+ {
2422
+ "epoch": 105.0,
2423
+ "learning_rate": 2.631578947368421e-06,
2424
+ "loss": 0.3308,
2425
+ "step": 315
2426
+ },
2427
+ {
2428
+ "epoch": 105.33,
2429
+ "learning_rate": 2.5730994152046784e-06,
2430
+ "loss": 0.3748,
2431
+ "step": 316
2432
+ },
2433
+ {
2434
+ "epoch": 105.67,
2435
+ "learning_rate": 2.5146198830409357e-06,
2436
+ "loss": 0.3664,
2437
+ "step": 317
2438
+ },
2439
+ {
2440
+ "epoch": 106.0,
2441
+ "learning_rate": 2.456140350877193e-06,
2442
+ "loss": 0.5831,
2443
+ "step": 318
2444
+ },
2445
+ {
2446
+ "epoch": 106.33,
2447
+ "learning_rate": 2.3976608187134502e-06,
2448
+ "loss": 0.3561,
2449
+ "step": 319
2450
+ },
2451
+ {
2452
+ "epoch": 106.67,
2453
+ "learning_rate": 2.3391812865497075e-06,
2454
+ "loss": 0.378,
2455
+ "step": 320
2456
+ },
2457
+ {
2458
+ "epoch": 106.67,
2459
+ "eval_accuracy_dropoff": 0.2980793530452363,
2460
+ "eval_accuracy_undropoff": 0.9936860905596836,
2461
+ "eval_accuracy_unlabeled": NaN,
2462
+ "eval_iou_dropoff": 0.2623283932145818,
2463
+ "eval_iou_undropoff": 0.9623896530698185,
2464
+ "eval_iou_unlabeled": NaN,
2465
+ "eval_loss": 0.3925156891345978,
2466
+ "eval_mean_accuracy": 0.64588272180246,
2467
+ "eval_mean_iou": 0.6123590231422001,
2468
+ "eval_overall_accuracy": 0.9628860473632812,
2469
+ "eval_runtime": 1.7445,
2470
+ "eval_samples_per_second": 8.598,
2471
+ "eval_steps_per_second": 0.573,
2472
+ "step": 320
2473
  }
2474
  ],
2475
  "max_steps": 360,
2476
  "num_train_epochs": 120,
2477
+ "total_flos": 6.373605557403648e+16,
2478
  "trial_name": null,
2479
  "trial_params": null
2480
  }
{checkpoint-120 β†’ checkpoint-320}/training_args.bin RENAMED
File without changes
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a8b1da7114c1ae9d694a85585533a284f66eeeef0da4b97a8dbfe7bc2926a0a7
3
  size 14932813
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:04f169d68d231de85c4e9f94b55f445e8773f1ead42f804f024bfc6bf5e3c98a
3
  size 14932813
runs/Feb12_06-10-25_robovision.csres.utexas.edu/events.out.tfevents.1707739840.robovision.csres.utexas.edu.2691300.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:71e94c11595c7d63ed5c0d44067116968528a3ca069f615dab4ff66369a6986d
3
- size 70391
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:94cb1ff16dc0cb81fb1c0e4d6791a3dbfbb536547e9f85e659d778095076dc75
3
+ size 79843