sam1120 commited on
Commit
900c727
β€’
1 Parent(s): c6283bc

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 sha256:07048c8afbe2e63a4b25afeada2f1ec1ee6750edc42181a6da38cda943632732
3
- size 29838853
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fa2939d8c07f1631499c2c12cd10bcbb9acaaa10a90b8e658899535dd7cc0895
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 sha256:8ebc9036b3415c516a953213e8013faf0783cda7aa21abd821b7341ef5f557c0
3
  size 14932813
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d88d136d6acb7f10bb826b8892c41e8ed75dd4397834328482e4eafa205e9c5e
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 sha256:1c516612a6c08bb4fd4761c6b081c5e515c1e1eab84f9b466937339956b1fbc1
3
  size 627
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0190ffa42beba4cf95ceebbed7259c9f5c53937f734950e6674eba3d115fb069
3
  size 627
{checkpoint-120 β†’ checkpoint-320}/trainer_state.json RENAMED
@@ -1,8 +1,8 @@
1
  {
2
- "best_metric": 0.3130444884300232,
3
- "best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/dropoff-utcustom-train-SF-RGB-b0_6/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": 8.481,
931
  "eval_steps_per_second": 0.565,
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": 0.18488384783267975,
3
+ "best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/dropoff-utcustom-train-SF-RGB-b0_6/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": 8.481,
931
  "eval_steps_per_second": 0.565,
932
  "step": 120
933
+ },
934
+ {
935
+ "epoch": 40.33,
936
+ "learning_rate": 4.891812865497075e-05,
937
+ "loss": 0.2717,
938
+ "step": 121
939
+ },
940
+ {
941
+ "epoch": 40.67,
942
+ "learning_rate": 4.871345029239766e-05,
943
+ "loss": 0.2581,
944
+ "step": 122
945
+ },
946
+ {
947
+ "epoch": 41.0,
948
+ "learning_rate": 4.850877192982456e-05,
949
+ "loss": 0.4004,
950
+ "step": 123
951
+ },
952
+ {
953
+ "epoch": 41.33,
954
+ "learning_rate": 4.830409356725146e-05,
955
+ "loss": 0.2551,
956
+ "step": 124
957
+ },
958
+ {
959
+ "epoch": 41.67,
960
+ "learning_rate": 4.809941520467836e-05,
961
+ "loss": 0.2635,
962
+ "step": 125
963
+ },
964
+ {
965
+ "epoch": 42.0,
966
+ "learning_rate": 4.789473684210526e-05,
967
+ "loss": 0.2444,
968
+ "step": 126
969
+ },
970
+ {
971
+ "epoch": 42.33,
972
+ "learning_rate": 4.769005847953216e-05,
973
+ "loss": 0.2535,
974
+ "step": 127
975
+ },
976
+ {
977
+ "epoch": 42.67,
978
+ "learning_rate": 4.748538011695906e-05,
979
+ "loss": 0.2552,
980
+ "step": 128
981
+ },
982
+ {
983
+ "epoch": 43.0,
984
+ "learning_rate": 4.728070175438596e-05,
985
+ "loss": 0.3605,
986
+ "step": 129
987
+ },
988
+ {
989
+ "epoch": 43.33,
990
+ "learning_rate": 4.707602339181286e-05,
991
+ "loss": 0.252,
992
+ "step": 130
993
+ },
994
+ {
995
+ "epoch": 43.33,
996
+ "eval_accuracy_dropoff": 0.4739644358673927,
997
+ "eval_accuracy_undropoff": 0.9879597195568343,
998
+ "eval_accuracy_unlabeled": NaN,
999
+ "eval_iou_dropoff": 0.37619668484108026,
1000
+ "eval_iou_undropoff": 0.9644551086478499,
1001
+ "eval_iou_unlabeled": NaN,
1002
+ "eval_loss": 0.28977030515670776,
1003
+ "eval_mean_accuracy": 0.7309620777121135,
1004
+ "eval_mean_iou": 0.6703258967444651,
1005
+ "eval_overall_accuracy": 0.9652010599772135,
1006
+ "eval_runtime": 1.7093,
1007
+ "eval_samples_per_second": 8.775,
1008
+ "eval_steps_per_second": 0.585,
1009
+ "step": 130
1010
+ },
1011
+ {
1012
+ "epoch": 43.67,
1013
+ "learning_rate": 4.687134502923976e-05,
1014
+ "loss": 0.2414,
1015
+ "step": 131
1016
+ },
1017
+ {
1018
+ "epoch": 44.0,
1019
+ "learning_rate": 4.666666666666666e-05,
1020
+ "loss": 0.3671,
1021
+ "step": 132
1022
+ },
1023
+ {
1024
+ "epoch": 44.33,
1025
+ "learning_rate": 4.646198830409356e-05,
1026
+ "loss": 0.245,
1027
+ "step": 133
1028
+ },
1029
+ {
1030
+ "epoch": 44.67,
1031
+ "learning_rate": 4.625730994152047e-05,
1032
+ "loss": 0.2705,
1033
+ "step": 134
1034
+ },
1035
+ {
1036
+ "epoch": 45.0,
1037
+ "learning_rate": 4.605263157894737e-05,
1038
+ "loss": 0.2488,
1039
+ "step": 135
1040
+ },
1041
+ {
1042
+ "epoch": 45.33,
1043
+ "learning_rate": 4.5847953216374265e-05,
1044
+ "loss": 0.2472,
1045
+ "step": 136
1046
+ },
1047
+ {
1048
+ "epoch": 45.67,
1049
+ "learning_rate": 4.564327485380117e-05,
1050
+ "loss": 0.2355,
1051
+ "step": 137
1052
+ },
1053
+ {
1054
+ "epoch": 46.0,
1055
+ "learning_rate": 4.543859649122807e-05,
1056
+ "loss": 0.2335,
1057
+ "step": 138
1058
+ },
1059
+ {
1060
+ "epoch": 46.33,
1061
+ "learning_rate": 4.523391812865497e-05,
1062
+ "loss": 0.2386,
1063
+ "step": 139
1064
+ },
1065
+ {
1066
+ "epoch": 46.67,
1067
+ "learning_rate": 4.5029239766081865e-05,
1068
+ "loss": 0.2395,
1069
+ "step": 140
1070
+ },
1071
+ {
1072
+ "epoch": 46.67,
1073
+ "eval_accuracy_dropoff": 0.4275105107174857,
1074
+ "eval_accuracy_undropoff": 0.990174696890836,
1075
+ "eval_accuracy_unlabeled": NaN,
1076
+ "eval_iou_dropoff": 0.35270954168088253,
1077
+ "eval_iou_undropoff": 0.9645908069700111,
1078
+ "eval_iou_unlabeled": NaN,
1079
+ "eval_loss": 0.2842903435230255,
1080
+ "eval_mean_accuracy": 0.7088426038041609,
1081
+ "eval_mean_iou": 0.6586501743254468,
1082
+ "eval_overall_accuracy": 0.9652610778808594,
1083
+ "eval_runtime": 1.7483,
1084
+ "eval_samples_per_second": 8.58,
1085
+ "eval_steps_per_second": 0.572,
1086
+ "step": 140
1087
+ },
1088
+ {
1089
+ "epoch": 47.0,
1090
+ "learning_rate": 4.482456140350877e-05,
1091
+ "loss": 0.2558,
1092
+ "step": 141
1093
+ },
1094
+ {
1095
+ "epoch": 47.33,
1096
+ "learning_rate": 4.461988304093567e-05,
1097
+ "loss": 0.2299,
1098
+ "step": 142
1099
+ },
1100
+ {
1101
+ "epoch": 47.67,
1102
+ "learning_rate": 4.441520467836257e-05,
1103
+ "loss": 0.2289,
1104
+ "step": 143
1105
+ },
1106
+ {
1107
+ "epoch": 48.0,
1108
+ "learning_rate": 4.4210526315789466e-05,
1109
+ "loss": 0.3324,
1110
+ "step": 144
1111
+ },
1112
+ {
1113
+ "epoch": 48.33,
1114
+ "learning_rate": 4.400584795321637e-05,
1115
+ "loss": 0.2302,
1116
+ "step": 145
1117
+ },
1118
+ {
1119
+ "epoch": 48.67,
1120
+ "learning_rate": 4.3801169590643276e-05,
1121
+ "loss": 0.2306,
1122
+ "step": 146
1123
+ },
1124
+ {
1125
+ "epoch": 49.0,
1126
+ "learning_rate": 4.359649122807018e-05,
1127
+ "loss": 0.2666,
1128
+ "step": 147
1129
+ },
1130
+ {
1131
+ "epoch": 49.33,
1132
+ "learning_rate": 4.339181286549707e-05,
1133
+ "loss": 0.2229,
1134
+ "step": 148
1135
+ },
1136
+ {
1137
+ "epoch": 49.67,
1138
+ "learning_rate": 4.3187134502923974e-05,
1139
+ "loss": 0.2251,
1140
+ "step": 149
1141
+ },
1142
+ {
1143
+ "epoch": 50.0,
1144
+ "learning_rate": 4.2982456140350876e-05,
1145
+ "loss": 0.2308,
1146
+ "step": 150
1147
+ },
1148
+ {
1149
+ "epoch": 50.0,
1150
+ "eval_accuracy_dropoff": 0.3811197647437223,
1151
+ "eval_accuracy_undropoff": 0.9929697619937138,
1152
+ "eval_accuracy_unlabeled": NaN,
1153
+ "eval_iou_dropoff": 0.33090640708529484,
1154
+ "eval_iou_undropoff": 0.9652926014872973,
1155
+ "eval_iou_unlabeled": NaN,
1156
+ "eval_loss": 0.27435046434402466,
1157
+ "eval_mean_accuracy": 0.687044763368718,
1158
+ "eval_mean_iou": 0.648099504286296,
1159
+ "eval_overall_accuracy": 0.9658782958984375,
1160
+ "eval_runtime": 1.6671,
1161
+ "eval_samples_per_second": 8.998,
1162
+ "eval_steps_per_second": 0.6,
1163
+ "step": 150
1164
+ },
1165
+ {
1166
+ "epoch": 50.33,
1167
+ "learning_rate": 4.277777777777778e-05,
1168
+ "loss": 0.2302,
1169
+ "step": 151
1170
+ },
1171
+ {
1172
+ "epoch": 50.67,
1173
+ "learning_rate": 4.257309941520467e-05,
1174
+ "loss": 0.2153,
1175
+ "step": 152
1176
+ },
1177
+ {
1178
+ "epoch": 51.0,
1179
+ "learning_rate": 4.2368421052631575e-05,
1180
+ "loss": 0.2086,
1181
+ "step": 153
1182
+ },
1183
+ {
1184
+ "epoch": 51.33,
1185
+ "learning_rate": 4.2163742690058476e-05,
1186
+ "loss": 0.2267,
1187
+ "step": 154
1188
+ },
1189
+ {
1190
+ "epoch": 51.67,
1191
+ "learning_rate": 4.195906432748538e-05,
1192
+ "loss": 0.2051,
1193
+ "step": 155
1194
+ },
1195
+ {
1196
+ "epoch": 52.0,
1197
+ "learning_rate": 4.175438596491227e-05,
1198
+ "loss": 0.3191,
1199
+ "step": 156
1200
+ },
1201
+ {
1202
+ "epoch": 52.33,
1203
+ "learning_rate": 4.1549707602339175e-05,
1204
+ "loss": 0.2112,
1205
+ "step": 157
1206
+ },
1207
+ {
1208
+ "epoch": 52.67,
1209
+ "learning_rate": 4.1345029239766077e-05,
1210
+ "loss": 0.2164,
1211
+ "step": 158
1212
+ },
1213
+ {
1214
+ "epoch": 53.0,
1215
+ "learning_rate": 4.1140350877192985e-05,
1216
+ "loss": 0.2079,
1217
+ "step": 159
1218
+ },
1219
+ {
1220
+ "epoch": 53.33,
1221
+ "learning_rate": 4.093567251461988e-05,
1222
+ "loss": 0.2125,
1223
+ "step": 160
1224
+ },
1225
+ {
1226
+ "epoch": 53.33,
1227
+ "eval_accuracy_dropoff": 0.41470811220621684,
1228
+ "eval_accuracy_undropoff": 0.9908596262106006,
1229
+ "eval_accuracy_unlabeled": NaN,
1230
+ "eval_iou_dropoff": 0.3463719310364678,
1231
+ "eval_iou_undropoff": 0.9647006338932361,
1232
+ "eval_iou_unlabeled": NaN,
1233
+ "eval_loss": 0.2579088807106018,
1234
+ "eval_mean_accuracy": 0.7027838692084087,
1235
+ "eval_mean_iou": 0.655536282464852,
1236
+ "eval_overall_accuracy": 0.9653488159179687,
1237
+ "eval_runtime": 1.6718,
1238
+ "eval_samples_per_second": 8.973,
1239
+ "eval_steps_per_second": 0.598,
1240
+ "step": 160
1241
+ },
1242
+ {
1243
+ "epoch": 53.67,
1244
+ "learning_rate": 4.073099415204678e-05,
1245
+ "loss": 0.2052,
1246
+ "step": 161
1247
+ },
1248
+ {
1249
+ "epoch": 54.0,
1250
+ "learning_rate": 4.0526315789473684e-05,
1251
+ "loss": 0.2796,
1252
+ "step": 162
1253
+ },
1254
+ {
1255
+ "epoch": 54.33,
1256
+ "learning_rate": 4.0321637426900585e-05,
1257
+ "loss": 0.2035,
1258
+ "step": 163
1259
+ },
1260
+ {
1261
+ "epoch": 54.67,
1262
+ "learning_rate": 4.011695906432748e-05,
1263
+ "loss": 0.2021,
1264
+ "step": 164
1265
+ },
1266
+ {
1267
+ "epoch": 55.0,
1268
+ "learning_rate": 3.991228070175438e-05,
1269
+ "loss": 0.2092,
1270
+ "step": 165
1271
+ },
1272
+ {
1273
+ "epoch": 55.33,
1274
+ "learning_rate": 3.9707602339181284e-05,
1275
+ "loss": 0.196,
1276
+ "step": 166
1277
+ },
1278
+ {
1279
+ "epoch": 55.67,
1280
+ "learning_rate": 3.9502923976608185e-05,
1281
+ "loss": 0.2008,
1282
+ "step": 167
1283
+ },
1284
+ {
1285
+ "epoch": 56.0,
1286
+ "learning_rate": 3.929824561403508e-05,
1287
+ "loss": 0.2223,
1288
+ "step": 168
1289
+ },
1290
+ {
1291
+ "epoch": 56.33,
1292
+ "learning_rate": 3.909356725146198e-05,
1293
+ "loss": 0.1942,
1294
+ "step": 169
1295
+ },
1296
+ {
1297
+ "epoch": 56.67,
1298
+ "learning_rate": 3.8888888888888884e-05,
1299
+ "loss": 0.1953,
1300
+ "step": 170
1301
+ },
1302
+ {
1303
+ "epoch": 56.67,
1304
+ "eval_accuracy_dropoff": 0.42093413283708964,
1305
+ "eval_accuracy_undropoff": 0.9899346789240809,
1306
+ "eval_accuracy_unlabeled": NaN,
1307
+ "eval_iou_dropoff": 0.3458057697207621,
1308
+ "eval_iou_undropoff": 0.9640708476466698,
1309
+ "eval_iou_unlabeled": NaN,
1310
+ "eval_loss": 0.25514769554138184,
1311
+ "eval_mean_accuracy": 0.7054344058805853,
1312
+ "eval_mean_iou": 0.6549383086837159,
1313
+ "eval_overall_accuracy": 0.964740498860677,
1314
+ "eval_runtime": 1.832,
1315
+ "eval_samples_per_second": 8.188,
1316
+ "eval_steps_per_second": 0.546,
1317
+ "step": 170
1318
+ },
1319
+ {
1320
+ "epoch": 57.0,
1321
+ "learning_rate": 3.868421052631579e-05,
1322
+ "loss": 0.275,
1323
+ "step": 171
1324
+ },
1325
+ {
1326
+ "epoch": 57.33,
1327
+ "learning_rate": 3.847953216374269e-05,
1328
+ "loss": 0.1901,
1329
+ "step": 172
1330
+ },
1331
+ {
1332
+ "epoch": 57.67,
1333
+ "learning_rate": 3.827485380116959e-05,
1334
+ "loss": 0.1929,
1335
+ "step": 173
1336
+ },
1337
+ {
1338
+ "epoch": 58.0,
1339
+ "learning_rate": 3.807017543859649e-05,
1340
+ "loss": 0.2671,
1341
+ "step": 174
1342
+ },
1343
+ {
1344
+ "epoch": 58.33,
1345
+ "learning_rate": 3.786549707602339e-05,
1346
+ "loss": 0.1832,
1347
+ "step": 175
1348
+ },
1349
+ {
1350
+ "epoch": 58.67,
1351
+ "learning_rate": 3.766081871345029e-05,
1352
+ "loss": 0.1962,
1353
+ "step": 176
1354
+ },
1355
+ {
1356
+ "epoch": 59.0,
1357
+ "learning_rate": 3.745614035087719e-05,
1358
+ "loss": 0.1992,
1359
+ "step": 177
1360
+ },
1361
+ {
1362
+ "epoch": 59.33,
1363
+ "learning_rate": 3.725146198830409e-05,
1364
+ "loss": 0.1891,
1365
+ "step": 178
1366
+ },
1367
+ {
1368
+ "epoch": 59.67,
1369
+ "learning_rate": 3.704678362573099e-05,
1370
+ "loss": 0.1831,
1371
+ "step": 179
1372
+ },
1373
+ {
1374
+ "epoch": 60.0,
1375
+ "learning_rate": 3.684210526315789e-05,
1376
+ "loss": 0.1743,
1377
+ "step": 180
1378
+ },
1379
+ {
1380
+ "epoch": 60.0,
1381
+ "eval_accuracy_dropoff": 0.3604544305833161,
1382
+ "eval_accuracy_undropoff": 0.9931485780398994,
1383
+ "eval_accuracy_unlabeled": NaN,
1384
+ "eval_iou_dropoff": 0.3140160915859419,
1385
+ "eval_iou_undropoff": 0.9645686852903885,
1386
+ "eval_iou_unlabeled": NaN,
1387
+ "eval_loss": 0.23770421743392944,
1388
+ "eval_mean_accuracy": 0.6768015043116078,
1389
+ "eval_mean_iou": 0.6392923884381652,
1390
+ "eval_overall_accuracy": 0.9651341756184896,
1391
+ "eval_runtime": 1.7553,
1392
+ "eval_samples_per_second": 8.545,
1393
+ "eval_steps_per_second": 0.57,
1394
+ "step": 180
1395
+ },
1396
+ {
1397
+ "epoch": 60.33,
1398
+ "learning_rate": 3.663742690058479e-05,
1399
+ "loss": 0.1899,
1400
+ "step": 181
1401
+ },
1402
+ {
1403
+ "epoch": 60.67,
1404
+ "learning_rate": 3.643274853801169e-05,
1405
+ "loss": 0.1845,
1406
+ "step": 182
1407
+ },
1408
+ {
1409
+ "epoch": 61.0,
1410
+ "learning_rate": 3.62280701754386e-05,
1411
+ "loss": 0.1884,
1412
+ "step": 183
1413
+ },
1414
+ {
1415
+ "epoch": 61.33,
1416
+ "learning_rate": 3.6023391812865495e-05,
1417
+ "loss": 0.1829,
1418
+ "step": 184
1419
+ },
1420
+ {
1421
+ "epoch": 61.67,
1422
+ "learning_rate": 3.58187134502924e-05,
1423
+ "loss": 0.1854,
1424
+ "step": 185
1425
+ },
1426
+ {
1427
+ "epoch": 62.0,
1428
+ "learning_rate": 3.56140350877193e-05,
1429
+ "loss": 0.1663,
1430
+ "step": 186
1431
+ },
1432
+ {
1433
+ "epoch": 62.33,
1434
+ "learning_rate": 3.54093567251462e-05,
1435
+ "loss": 0.1773,
1436
+ "step": 187
1437
+ },
1438
+ {
1439
+ "epoch": 62.67,
1440
+ "learning_rate": 3.5204678362573095e-05,
1441
+ "loss": 0.1761,
1442
+ "step": 188
1443
+ },
1444
+ {
1445
+ "epoch": 63.0,
1446
+ "learning_rate": 3.5e-05,
1447
+ "loss": 0.2612,
1448
+ "step": 189
1449
+ },
1450
+ {
1451
+ "epoch": 63.33,
1452
+ "learning_rate": 3.47953216374269e-05,
1453
+ "loss": 0.17,
1454
+ "step": 190
1455
+ },
1456
+ {
1457
+ "epoch": 63.33,
1458
+ "eval_accuracy_dropoff": 0.40857398855882554,
1459
+ "eval_accuracy_undropoff": 0.9918479041801443,
1460
+ "eval_accuracy_unlabeled": NaN,
1461
+ "eval_iou_dropoff": 0.34743875278396436,
1462
+ "eval_iou_undropoff": 0.9653957084959844,
1463
+ "eval_iou_unlabeled": NaN,
1464
+ "eval_loss": 0.23416396975517273,
1465
+ "eval_mean_accuracy": 0.700210946369485,
1466
+ "eval_mean_iou": 0.6564172306399744,
1467
+ "eval_overall_accuracy": 0.966021728515625,
1468
+ "eval_runtime": 1.7511,
1469
+ "eval_samples_per_second": 8.566,
1470
+ "eval_steps_per_second": 0.571,
1471
+ "step": 190
1472
+ },
1473
+ {
1474
+ "epoch": 63.67,
1475
+ "learning_rate": 3.45906432748538e-05,
1476
+ "loss": 0.1831,
1477
+ "step": 191
1478
+ },
1479
+ {
1480
+ "epoch": 64.0,
1481
+ "learning_rate": 3.4385964912280695e-05,
1482
+ "loss": 0.2357,
1483
+ "step": 192
1484
+ },
1485
+ {
1486
+ "epoch": 64.33,
1487
+ "learning_rate": 3.41812865497076e-05,
1488
+ "loss": 0.1722,
1489
+ "step": 193
1490
+ },
1491
+ {
1492
+ "epoch": 64.67,
1493
+ "learning_rate": 3.39766081871345e-05,
1494
+ "loss": 0.1712,
1495
+ "step": 194
1496
+ },
1497
+ {
1498
+ "epoch": 65.0,
1499
+ "learning_rate": 3.37719298245614e-05,
1500
+ "loss": 0.1619,
1501
+ "step": 195
1502
+ },
1503
+ {
1504
+ "epoch": 65.33,
1505
+ "learning_rate": 3.35672514619883e-05,
1506
+ "loss": 0.1684,
1507
+ "step": 196
1508
+ },
1509
+ {
1510
+ "epoch": 65.67,
1511
+ "learning_rate": 3.3362573099415204e-05,
1512
+ "loss": 0.1647,
1513
+ "step": 197
1514
+ },
1515
+ {
1516
+ "epoch": 66.0,
1517
+ "learning_rate": 3.31578947368421e-05,
1518
+ "loss": 0.1673,
1519
+ "step": 198
1520
+ },
1521
+ {
1522
+ "epoch": 66.33,
1523
+ "learning_rate": 3.2953216374269e-05,
1524
+ "loss": 0.1545,
1525
+ "step": 199
1526
+ },
1527
+ {
1528
+ "epoch": 66.67,
1529
+ "learning_rate": 3.27485380116959e-05,
1530
+ "loss": 0.173,
1531
+ "step": 200
1532
+ },
1533
+ {
1534
+ "epoch": 66.67,
1535
+ "eval_accuracy_dropoff": 0.42767707400004595,
1536
+ "eval_accuracy_undropoff": 0.9913141169946558,
1537
+ "eval_accuracy_unlabeled": NaN,
1538
+ "eval_iou_dropoff": 0.3601547762998791,
1539
+ "eval_iou_undropoff": 0.9657080466122543,
1540
+ "eval_iou_unlabeled": NaN,
1541
+ "eval_loss": 0.22958947718143463,
1542
+ "eval_mean_accuracy": 0.7094955954973509,
1543
+ "eval_mean_iou": 0.6629314114560667,
1544
+ "eval_overall_accuracy": 0.966357421875,
1545
+ "eval_runtime": 1.7374,
1546
+ "eval_samples_per_second": 8.633,
1547
+ "eval_steps_per_second": 0.576,
1548
+ "step": 200
1549
+ },
1550
+ {
1551
+ "epoch": 67.0,
1552
+ "learning_rate": 3.2543859649122804e-05,
1553
+ "loss": 0.2388,
1554
+ "step": 201
1555
+ },
1556
+ {
1557
+ "epoch": 67.33,
1558
+ "learning_rate": 3.2339181286549706e-05,
1559
+ "loss": 0.1593,
1560
+ "step": 202
1561
+ },
1562
+ {
1563
+ "epoch": 67.67,
1564
+ "learning_rate": 3.213450292397661e-05,
1565
+ "loss": 0.1636,
1566
+ "step": 203
1567
+ },
1568
+ {
1569
+ "epoch": 68.0,
1570
+ "learning_rate": 3.19298245614035e-05,
1571
+ "loss": 0.1466,
1572
+ "step": 204
1573
+ },
1574
+ {
1575
+ "epoch": 68.33,
1576
+ "learning_rate": 3.1725146198830405e-05,
1577
+ "loss": 0.164,
1578
+ "step": 205
1579
+ },
1580
+ {
1581
+ "epoch": 68.67,
1582
+ "learning_rate": 3.1520467836257306e-05,
1583
+ "loss": 0.1593,
1584
+ "step": 206
1585
+ },
1586
+ {
1587
+ "epoch": 69.0,
1588
+ "learning_rate": 3.131578947368421e-05,
1589
+ "loss": 0.2254,
1590
+ "step": 207
1591
+ },
1592
+ {
1593
+ "epoch": 69.33,
1594
+ "learning_rate": 3.111111111111111e-05,
1595
+ "loss": 0.1608,
1596
+ "step": 208
1597
+ },
1598
+ {
1599
+ "epoch": 69.67,
1600
+ "learning_rate": 3.090643274853801e-05,
1601
+ "loss": 0.1621,
1602
+ "step": 209
1603
+ },
1604
+ {
1605
+ "epoch": 70.0,
1606
+ "learning_rate": 3.070175438596491e-05,
1607
+ "loss": 0.1487,
1608
+ "step": 210
1609
+ },
1610
+ {
1611
+ "epoch": 70.0,
1612
+ "eval_accuracy_dropoff": 0.377650653617295,
1613
+ "eval_accuracy_undropoff": 0.9946097073696691,
1614
+ "eval_accuracy_unlabeled": NaN,
1615
+ "eval_iou_dropoff": 0.3382913590409796,
1616
+ "eval_iou_undropoff": 0.966735791980567,
1617
+ "eval_iou_unlabeled": NaN,
1618
+ "eval_loss": 0.2151830494403839,
1619
+ "eval_mean_accuracy": 0.6861301804934821,
1620
+ "eval_mean_iou": 0.6525135755107734,
1621
+ "eval_overall_accuracy": 0.9672920227050781,
1622
+ "eval_runtime": 1.8067,
1623
+ "eval_samples_per_second": 8.303,
1624
+ "eval_steps_per_second": 0.554,
1625
+ "step": 210
1626
+ },
1627
+ {
1628
+ "epoch": 70.33,
1629
+ "learning_rate": 3.0497076023391812e-05,
1630
+ "loss": 0.1505,
1631
+ "step": 211
1632
+ },
1633
+ {
1634
+ "epoch": 70.67,
1635
+ "learning_rate": 3.029239766081871e-05,
1636
+ "loss": 0.1584,
1637
+ "step": 212
1638
+ },
1639
+ {
1640
+ "epoch": 71.0,
1641
+ "learning_rate": 3.0087719298245612e-05,
1642
+ "loss": 0.2104,
1643
+ "step": 213
1644
+ },
1645
+ {
1646
+ "epoch": 71.33,
1647
+ "learning_rate": 2.988304093567251e-05,
1648
+ "loss": 0.149,
1649
+ "step": 214
1650
+ },
1651
+ {
1652
+ "epoch": 71.67,
1653
+ "learning_rate": 2.9678362573099412e-05,
1654
+ "loss": 0.1536,
1655
+ "step": 215
1656
+ },
1657
+ {
1658
+ "epoch": 72.0,
1659
+ "learning_rate": 2.947368421052631e-05,
1660
+ "loss": 0.2299,
1661
+ "step": 216
1662
+ },
1663
+ {
1664
+ "epoch": 72.33,
1665
+ "learning_rate": 2.9269005847953215e-05,
1666
+ "loss": 0.1492,
1667
+ "step": 217
1668
+ },
1669
+ {
1670
+ "epoch": 72.67,
1671
+ "learning_rate": 2.9064327485380114e-05,
1672
+ "loss": 0.152,
1673
+ "step": 218
1674
+ },
1675
+ {
1676
+ "epoch": 73.0,
1677
+ "learning_rate": 2.8859649122807016e-05,
1678
+ "loss": 0.1923,
1679
+ "step": 219
1680
+ },
1681
+ {
1682
+ "epoch": 73.33,
1683
+ "learning_rate": 2.8654970760233914e-05,
1684
+ "loss": 0.1501,
1685
+ "step": 220
1686
+ },
1687
+ {
1688
+ "epoch": 73.33,
1689
+ "eval_accuracy_dropoff": 0.4116180761366508,
1690
+ "eval_accuracy_undropoff": 0.9922568926667327,
1691
+ "eval_accuracy_unlabeled": NaN,
1692
+ "eval_iou_dropoff": 0.35267485864168063,
1693
+ "eval_iou_undropoff": 0.965926381442375,
1694
+ "eval_iou_unlabeled": NaN,
1695
+ "eval_loss": 0.21790172159671783,
1696
+ "eval_mean_accuracy": 0.7019374844016917,
1697
+ "eval_mean_iou": 0.6593006200420278,
1698
+ "eval_overall_accuracy": 0.9665473937988281,
1699
+ "eval_runtime": 1.7336,
1700
+ "eval_samples_per_second": 8.653,
1701
+ "eval_steps_per_second": 0.577,
1702
+ "step": 220
1703
+ },
1704
+ {
1705
+ "epoch": 73.67,
1706
+ "learning_rate": 2.8450292397660816e-05,
1707
+ "loss": 0.1449,
1708
+ "step": 221
1709
+ },
1710
+ {
1711
+ "epoch": 74.0,
1712
+ "learning_rate": 2.8245614035087714e-05,
1713
+ "loss": 0.1505,
1714
+ "step": 222
1715
+ },
1716
+ {
1717
+ "epoch": 74.33,
1718
+ "learning_rate": 2.804093567251462e-05,
1719
+ "loss": 0.1507,
1720
+ "step": 223
1721
+ },
1722
+ {
1723
+ "epoch": 74.67,
1724
+ "learning_rate": 2.7836257309941518e-05,
1725
+ "loss": 0.1443,
1726
+ "step": 224
1727
+ },
1728
+ {
1729
+ "epoch": 75.0,
1730
+ "learning_rate": 2.763157894736842e-05,
1731
+ "loss": 0.1347,
1732
+ "step": 225
1733
+ },
1734
+ {
1735
+ "epoch": 75.33,
1736
+ "learning_rate": 2.7426900584795318e-05,
1737
+ "loss": 0.1519,
1738
+ "step": 226
1739
+ },
1740
+ {
1741
+ "epoch": 75.67,
1742
+ "learning_rate": 2.722222222222222e-05,
1743
+ "loss": 0.1389,
1744
+ "step": 227
1745
+ },
1746
+ {
1747
+ "epoch": 76.0,
1748
+ "learning_rate": 2.7017543859649118e-05,
1749
+ "loss": 0.1469,
1750
+ "step": 228
1751
+ },
1752
+ {
1753
+ "epoch": 76.33,
1754
+ "learning_rate": 2.6812865497076023e-05,
1755
+ "loss": 0.1439,
1756
+ "step": 229
1757
+ },
1758
+ {
1759
+ "epoch": 76.67,
1760
+ "learning_rate": 2.660818713450292e-05,
1761
+ "loss": 0.1419,
1762
+ "step": 230
1763
+ },
1764
+ {
1765
+ "epoch": 76.67,
1766
+ "eval_accuracy_dropoff": 0.4198543432811818,
1767
+ "eval_accuracy_undropoff": 0.9915812766827069,
1768
+ "eval_accuracy_unlabeled": NaN,
1769
+ "eval_iou_dropoff": 0.3552924479698269,
1770
+ "eval_iou_undropoff": 0.965627380761118,
1771
+ "eval_iou_unlabeled": NaN,
1772
+ "eval_loss": 0.20552903413772583,
1773
+ "eval_mean_accuracy": 0.7057178099819443,
1774
+ "eval_mean_iou": 0.6604599143654725,
1775
+ "eval_overall_accuracy": 0.966266377766927,
1776
+ "eval_runtime": 1.8087,
1777
+ "eval_samples_per_second": 8.293,
1778
+ "eval_steps_per_second": 0.553,
1779
+ "step": 230
1780
+ },
1781
+ {
1782
+ "epoch": 77.0,
1783
+ "learning_rate": 2.6403508771929823e-05,
1784
+ "loss": 0.1345,
1785
+ "step": 231
1786
+ },
1787
+ {
1788
+ "epoch": 77.33,
1789
+ "learning_rate": 2.619883040935672e-05,
1790
+ "loss": 0.1407,
1791
+ "step": 232
1792
+ },
1793
+ {
1794
+ "epoch": 77.67,
1795
+ "learning_rate": 2.5994152046783623e-05,
1796
+ "loss": 0.1371,
1797
+ "step": 233
1798
+ },
1799
+ {
1800
+ "epoch": 78.0,
1801
+ "learning_rate": 2.578947368421052e-05,
1802
+ "loss": 0.1822,
1803
+ "step": 234
1804
+ },
1805
+ {
1806
+ "epoch": 78.33,
1807
+ "learning_rate": 2.5584795321637427e-05,
1808
+ "loss": 0.1341,
1809
+ "step": 235
1810
+ },
1811
+ {
1812
+ "epoch": 78.67,
1813
+ "learning_rate": 2.5380116959064325e-05,
1814
+ "loss": 0.1475,
1815
+ "step": 236
1816
+ },
1817
+ {
1818
+ "epoch": 79.0,
1819
+ "learning_rate": 2.5175438596491227e-05,
1820
+ "loss": 0.1383,
1821
+ "step": 237
1822
+ },
1823
+ {
1824
+ "epoch": 79.33,
1825
+ "learning_rate": 2.4970760233918125e-05,
1826
+ "loss": 0.1365,
1827
+ "step": 238
1828
+ },
1829
+ {
1830
+ "epoch": 79.67,
1831
+ "learning_rate": 2.4766081871345027e-05,
1832
+ "loss": 0.1363,
1833
+ "step": 239
1834
+ },
1835
+ {
1836
+ "epoch": 80.0,
1837
+ "learning_rate": 2.4561403508771925e-05,
1838
+ "loss": 0.2049,
1839
+ "step": 240
1840
+ },
1841
+ {
1842
+ "epoch": 80.0,
1843
+ "eval_accuracy_dropoff": 0.40911388333677945,
1844
+ "eval_accuracy_undropoff": 0.9917459896776308,
1845
+ "eval_accuracy_unlabeled": NaN,
1846
+ "eval_iou_dropoff": 0.3472482900837042,
1847
+ "eval_iou_undropoff": 0.9653200135718596,
1848
+ "eval_iou_unlabeled": NaN,
1849
+ "eval_loss": 0.20602351427078247,
1850
+ "eval_mean_accuracy": 0.7004299365072051,
1851
+ "eval_mean_iou": 0.6562841518277819,
1852
+ "eval_overall_accuracy": 0.9659482320149739,
1853
+ "eval_runtime": 1.7223,
1854
+ "eval_samples_per_second": 8.709,
1855
+ "eval_steps_per_second": 0.581,
1856
+ "step": 240
1857
+ },
1858
+ {
1859
+ "epoch": 80.33,
1860
+ "learning_rate": 2.435672514619883e-05,
1861
+ "loss": 0.137,
1862
+ "step": 241
1863
+ },
1864
+ {
1865
+ "epoch": 80.67,
1866
+ "learning_rate": 2.415204678362573e-05,
1867
+ "loss": 0.1319,
1868
+ "step": 242
1869
+ },
1870
+ {
1871
+ "epoch": 81.0,
1872
+ "learning_rate": 2.394736842105263e-05,
1873
+ "loss": 0.1365,
1874
+ "step": 243
1875
+ },
1876
+ {
1877
+ "epoch": 81.33,
1878
+ "learning_rate": 2.374269005847953e-05,
1879
+ "loss": 0.133,
1880
+ "step": 244
1881
+ },
1882
+ {
1883
+ "epoch": 81.67,
1884
+ "learning_rate": 2.353801169590643e-05,
1885
+ "loss": 0.1286,
1886
+ "step": 245
1887
+ },
1888
+ {
1889
+ "epoch": 82.0,
1890
+ "learning_rate": 2.333333333333333e-05,
1891
+ "loss": 0.1856,
1892
+ "step": 246
1893
+ },
1894
+ {
1895
+ "epoch": 82.33,
1896
+ "learning_rate": 2.3128654970760234e-05,
1897
+ "loss": 0.1287,
1898
+ "step": 247
1899
+ },
1900
+ {
1901
+ "epoch": 82.67,
1902
+ "learning_rate": 2.2923976608187133e-05,
1903
+ "loss": 0.1333,
1904
+ "step": 248
1905
+ },
1906
+ {
1907
+ "epoch": 83.0,
1908
+ "learning_rate": 2.2719298245614034e-05,
1909
+ "loss": 0.1353,
1910
+ "step": 249
1911
+ },
1912
+ {
1913
+ "epoch": 83.33,
1914
+ "learning_rate": 2.2514619883040933e-05,
1915
+ "loss": 0.1339,
1916
+ "step": 250
1917
+ },
1918
+ {
1919
+ "epoch": 83.33,
1920
+ "eval_accuracy_dropoff": 0.39157304661474485,
1921
+ "eval_accuracy_undropoff": 0.9925711512240917,
1922
+ "eval_accuracy_unlabeled": NaN,
1923
+ "eval_iou_dropoff": 0.3374615148545237,
1924
+ "eval_iou_undropoff": 0.9653595874102998,
1925
+ "eval_iou_unlabeled": NaN,
1926
+ "eval_loss": 0.20059725642204285,
1927
+ "eval_mean_accuracy": 0.6920720989194182,
1928
+ "eval_mean_iou": 0.6514105511324118,
1929
+ "eval_overall_accuracy": 0.9659601847330729,
1930
+ "eval_runtime": 1.7746,
1931
+ "eval_samples_per_second": 8.453,
1932
+ "eval_steps_per_second": 0.564,
1933
+ "step": 250
1934
+ },
1935
+ {
1936
+ "epoch": 83.67,
1937
+ "learning_rate": 2.2309941520467834e-05,
1938
+ "loss": 0.1327,
1939
+ "step": 251
1940
+ },
1941
+ {
1942
+ "epoch": 84.0,
1943
+ "learning_rate": 2.2105263157894733e-05,
1944
+ "loss": 0.1214,
1945
+ "step": 252
1946
+ },
1947
+ {
1948
+ "epoch": 84.33,
1949
+ "learning_rate": 2.1900584795321638e-05,
1950
+ "loss": 0.1276,
1951
+ "step": 253
1952
+ },
1953
+ {
1954
+ "epoch": 84.67,
1955
+ "learning_rate": 2.1695906432748536e-05,
1956
+ "loss": 0.1326,
1957
+ "step": 254
1958
+ },
1959
+ {
1960
+ "epoch": 85.0,
1961
+ "learning_rate": 2.1491228070175438e-05,
1962
+ "loss": 0.1294,
1963
+ "step": 255
1964
+ },
1965
+ {
1966
+ "epoch": 85.33,
1967
+ "learning_rate": 2.1286549707602336e-05,
1968
+ "loss": 0.1316,
1969
+ "step": 256
1970
+ },
1971
+ {
1972
+ "epoch": 85.67,
1973
+ "learning_rate": 2.1081871345029238e-05,
1974
+ "loss": 0.1321,
1975
+ "step": 257
1976
+ },
1977
+ {
1978
+ "epoch": 86.0,
1979
+ "learning_rate": 2.0877192982456137e-05,
1980
+ "loss": 0.1203,
1981
+ "step": 258
1982
+ },
1983
+ {
1984
+ "epoch": 86.33,
1985
+ "learning_rate": 2.0672514619883038e-05,
1986
+ "loss": 0.1231,
1987
+ "step": 259
1988
+ },
1989
+ {
1990
+ "epoch": 86.67,
1991
+ "learning_rate": 2.046783625730994e-05,
1992
+ "loss": 0.1262,
1993
+ "step": 260
1994
+ },
1995
+ {
1996
+ "epoch": 86.67,
1997
+ "eval_accuracy_dropoff": 0.41579364532359225,
1998
+ "eval_accuracy_undropoff": 0.9908175831521224,
1999
+ "eval_accuracy_unlabeled": NaN,
2000
+ "eval_iou_dropoff": 0.34701556927560684,
2001
+ "eval_iou_undropoff": 0.9647069369731386,
2002
+ "eval_iou_unlabeled": NaN,
2003
+ "eval_loss": 0.19629599153995514,
2004
+ "eval_mean_accuracy": 0.7033056142378573,
2005
+ "eval_mean_iou": 0.6558612531243727,
2006
+ "eval_overall_accuracy": 0.9653566996256511,
2007
+ "eval_runtime": 1.7129,
2008
+ "eval_samples_per_second": 8.757,
2009
+ "eval_steps_per_second": 0.584,
2010
+ "step": 260
2011
+ },
2012
+ {
2013
+ "epoch": 87.0,
2014
+ "learning_rate": 2.0263157894736842e-05,
2015
+ "loss": 0.1769,
2016
+ "step": 261
2017
+ },
2018
+ {
2019
+ "epoch": 87.33,
2020
+ "learning_rate": 2.005847953216374e-05,
2021
+ "loss": 0.1265,
2022
+ "step": 262
2023
+ },
2024
+ {
2025
+ "epoch": 87.67,
2026
+ "learning_rate": 1.9853801169590642e-05,
2027
+ "loss": 0.1283,
2028
+ "step": 263
2029
+ },
2030
+ {
2031
+ "epoch": 88.0,
2032
+ "learning_rate": 1.964912280701754e-05,
2033
+ "loss": 0.1253,
2034
+ "step": 264
2035
+ },
2036
+ {
2037
+ "epoch": 88.33,
2038
+ "learning_rate": 1.9444444444444442e-05,
2039
+ "loss": 0.1248,
2040
+ "step": 265
2041
+ },
2042
+ {
2043
+ "epoch": 88.67,
2044
+ "learning_rate": 1.9239766081871344e-05,
2045
+ "loss": 0.1278,
2046
+ "step": 266
2047
+ },
2048
+ {
2049
+ "epoch": 89.0,
2050
+ "learning_rate": 1.9035087719298245e-05,
2051
+ "loss": 0.114,
2052
+ "step": 267
2053
+ },
2054
+ {
2055
+ "epoch": 89.33,
2056
+ "learning_rate": 1.8830409356725144e-05,
2057
+ "loss": 0.1258,
2058
+ "step": 268
2059
+ },
2060
+ {
2061
+ "epoch": 89.67,
2062
+ "learning_rate": 1.8625730994152046e-05,
2063
+ "loss": 0.126,
2064
+ "step": 269
2065
+ },
2066
+ {
2067
+ "epoch": 90.0,
2068
+ "learning_rate": 1.8421052631578944e-05,
2069
+ "loss": 0.179,
2070
+ "step": 270
2071
+ },
2072
+ {
2073
+ "epoch": 90.0,
2074
+ "eval_accuracy_dropoff": 0.403180784340754,
2075
+ "eval_accuracy_undropoff": 0.9921025573887748,
2076
+ "eval_accuracy_unlabeled": NaN,
2077
+ "eval_iou_dropoff": 0.34446260065656786,
2078
+ "eval_iou_undropoff": 0.9654087830463419,
2079
+ "eval_iou_unlabeled": NaN,
2080
+ "eval_loss": 0.1906900405883789,
2081
+ "eval_mean_accuracy": 0.6976416708647644,
2082
+ "eval_mean_iou": 0.6549356918514548,
2083
+ "eval_overall_accuracy": 0.9660263061523438,
2084
+ "eval_runtime": 1.6554,
2085
+ "eval_samples_per_second": 9.061,
2086
+ "eval_steps_per_second": 0.604,
2087
+ "step": 270
2088
+ },
2089
+ {
2090
+ "epoch": 90.33,
2091
+ "learning_rate": 1.8216374269005846e-05,
2092
+ "loss": 0.1217,
2093
+ "step": 271
2094
+ },
2095
+ {
2096
+ "epoch": 90.67,
2097
+ "learning_rate": 1.8011695906432747e-05,
2098
+ "loss": 0.1248,
2099
+ "step": 272
2100
+ },
2101
+ {
2102
+ "epoch": 91.0,
2103
+ "learning_rate": 1.780701754385965e-05,
2104
+ "loss": 0.1784,
2105
+ "step": 273
2106
+ },
2107
+ {
2108
+ "epoch": 91.33,
2109
+ "learning_rate": 1.7602339181286548e-05,
2110
+ "loss": 0.124,
2111
+ "step": 274
2112
+ },
2113
+ {
2114
+ "epoch": 91.67,
2115
+ "learning_rate": 1.739766081871345e-05,
2116
+ "loss": 0.1208,
2117
+ "step": 275
2118
+ },
2119
+ {
2120
+ "epoch": 92.0,
2121
+ "learning_rate": 1.7192982456140348e-05,
2122
+ "loss": 0.1274,
2123
+ "step": 276
2124
+ },
2125
+ {
2126
+ "epoch": 92.33,
2127
+ "learning_rate": 1.698830409356725e-05,
2128
+ "loss": 0.122,
2129
+ "step": 277
2130
+ },
2131
+ {
2132
+ "epoch": 92.67,
2133
+ "learning_rate": 1.678362573099415e-05,
2134
+ "loss": 0.1178,
2135
+ "step": 278
2136
+ },
2137
+ {
2138
+ "epoch": 93.0,
2139
+ "learning_rate": 1.657894736842105e-05,
2140
+ "loss": 0.1181,
2141
+ "step": 279
2142
+ },
2143
+ {
2144
+ "epoch": 93.33,
2145
+ "learning_rate": 1.637426900584795e-05,
2146
+ "loss": 0.1216,
2147
+ "step": 280
2148
+ },
2149
+ {
2150
+ "epoch": 93.33,
2151
+ "eval_accuracy_dropoff": 0.40678199738093596,
2152
+ "eval_accuracy_undropoff": 0.9919910634552156,
2153
+ "eval_accuracy_unlabeled": NaN,
2154
+ "eval_iou_dropoff": 0.3468262440868535,
2155
+ "eval_iou_undropoff": 0.9654570335241481,
2156
+ "eval_iou_unlabeled": NaN,
2157
+ "eval_loss": 0.19010943174362183,
2158
+ "eval_mean_accuracy": 0.6993865304180757,
2159
+ "eval_mean_iou": 0.6561416388055008,
2160
+ "eval_overall_accuracy": 0.9660792032877604,
2161
+ "eval_runtime": 1.6449,
2162
+ "eval_samples_per_second": 9.119,
2163
+ "eval_steps_per_second": 0.608,
2164
+ "step": 280
2165
+ },
2166
+ {
2167
+ "epoch": 93.67,
2168
+ "learning_rate": 1.6169590643274853e-05,
2169
+ "loss": 0.1182,
2170
+ "step": 281
2171
+ },
2172
+ {
2173
+ "epoch": 94.0,
2174
+ "learning_rate": 1.596491228070175e-05,
2175
+ "loss": 0.1625,
2176
+ "step": 282
2177
+ },
2178
+ {
2179
+ "epoch": 94.33,
2180
+ "learning_rate": 1.5760233918128653e-05,
2181
+ "loss": 0.1229,
2182
+ "step": 283
2183
+ },
2184
+ {
2185
+ "epoch": 94.67,
2186
+ "learning_rate": 1.5555555555555555e-05,
2187
+ "loss": 0.119,
2188
+ "step": 284
2189
+ },
2190
+ {
2191
+ "epoch": 95.0,
2192
+ "learning_rate": 1.5350877192982453e-05,
2193
+ "loss": 0.1223,
2194
+ "step": 285
2195
+ },
2196
+ {
2197
+ "epoch": 95.33,
2198
+ "learning_rate": 1.5146198830409355e-05,
2199
+ "loss": 0.1198,
2200
+ "step": 286
2201
+ },
2202
+ {
2203
+ "epoch": 95.67,
2204
+ "learning_rate": 1.4941520467836255e-05,
2205
+ "loss": 0.1189,
2206
+ "step": 287
2207
+ },
2208
+ {
2209
+ "epoch": 96.0,
2210
+ "learning_rate": 1.4736842105263155e-05,
2211
+ "loss": 0.1105,
2212
+ "step": 288
2213
+ },
2214
+ {
2215
+ "epoch": 96.33,
2216
+ "learning_rate": 1.4532163742690057e-05,
2217
+ "loss": 0.1179,
2218
+ "step": 289
2219
+ },
2220
+ {
2221
+ "epoch": 96.67,
2222
+ "learning_rate": 1.4327485380116957e-05,
2223
+ "loss": 0.1144,
2224
+ "step": 290
2225
+ },
2226
+ {
2227
+ "epoch": 96.67,
2228
+ "eval_accuracy_dropoff": 0.41187653640269256,
2229
+ "eval_accuracy_undropoff": 0.9914586067462611,
2230
+ "eval_accuracy_unlabeled": NaN,
2231
+ "eval_iou_dropoff": 0.3477622001192976,
2232
+ "eval_iou_undropoff": 0.9651605292544987,
2233
+ "eval_iou_unlabeled": NaN,
2234
+ "eval_loss": 0.19165104627609253,
2235
+ "eval_mean_accuracy": 0.7016675715744768,
2236
+ "eval_mean_iou": 0.6564613646868982,
2237
+ "eval_overall_accuracy": 0.9657958984375,
2238
+ "eval_runtime": 1.7446,
2239
+ "eval_samples_per_second": 8.598,
2240
+ "eval_steps_per_second": 0.573,
2241
+ "step": 290
2242
+ },
2243
+ {
2244
+ "epoch": 97.0,
2245
+ "learning_rate": 1.4122807017543857e-05,
2246
+ "loss": 0.1237,
2247
+ "step": 291
2248
+ },
2249
+ {
2250
+ "epoch": 97.33,
2251
+ "learning_rate": 1.3918128654970759e-05,
2252
+ "loss": 0.1151,
2253
+ "step": 292
2254
+ },
2255
+ {
2256
+ "epoch": 97.67,
2257
+ "learning_rate": 1.3713450292397659e-05,
2258
+ "loss": 0.1274,
2259
+ "step": 293
2260
+ },
2261
+ {
2262
+ "epoch": 98.0,
2263
+ "learning_rate": 1.3508771929824559e-05,
2264
+ "loss": 0.1225,
2265
+ "step": 294
2266
+ },
2267
+ {
2268
+ "epoch": 98.33,
2269
+ "learning_rate": 1.330409356725146e-05,
2270
+ "loss": 0.1193,
2271
+ "step": 295
2272
+ },
2273
+ {
2274
+ "epoch": 98.67,
2275
+ "learning_rate": 1.309941520467836e-05,
2276
+ "loss": 0.1099,
2277
+ "step": 296
2278
+ },
2279
+ {
2280
+ "epoch": 99.0,
2281
+ "learning_rate": 1.289473684210526e-05,
2282
+ "loss": 0.1671,
2283
+ "step": 297
2284
+ },
2285
+ {
2286
+ "epoch": 99.33,
2287
+ "learning_rate": 1.2690058479532163e-05,
2288
+ "loss": 0.1211,
2289
+ "step": 298
2290
+ },
2291
+ {
2292
+ "epoch": 99.67,
2293
+ "learning_rate": 1.2485380116959063e-05,
2294
+ "loss": 0.1126,
2295
+ "step": 299
2296
+ },
2297
+ {
2298
+ "epoch": 100.0,
2299
+ "learning_rate": 1.2280701754385963e-05,
2300
+ "loss": 0.1095,
2301
+ "step": 300
2302
+ },
2303
+ {
2304
+ "epoch": 100.0,
2305
+ "eval_accuracy_dropoff": 0.4308704941760287,
2306
+ "eval_accuracy_undropoff": 0.9907225871275863,
2307
+ "eval_accuracy_unlabeled": NaN,
2308
+ "eval_iou_dropoff": 0.35898417498911345,
2309
+ "eval_iou_undropoff": 0.9652709182083522,
2310
+ "eval_iou_unlabeled": NaN,
2311
+ "eval_loss": 0.19000361859798431,
2312
+ "eval_mean_accuracy": 0.7107965406518075,
2313
+ "eval_mean_iou": 0.6621275465987329,
2314
+ "eval_overall_accuracy": 0.9659334818522135,
2315
+ "eval_runtime": 1.7433,
2316
+ "eval_samples_per_second": 8.604,
2317
+ "eval_steps_per_second": 0.574,
2318
+ "step": 300
2319
+ },
2320
+ {
2321
+ "epoch": 100.33,
2322
+ "learning_rate": 1.2076023391812864e-05,
2323
+ "loss": 0.1215,
2324
+ "step": 301
2325
+ },
2326
+ {
2327
+ "epoch": 100.67,
2328
+ "learning_rate": 1.1871345029239764e-05,
2329
+ "loss": 0.1158,
2330
+ "step": 302
2331
+ },
2332
+ {
2333
+ "epoch": 101.0,
2334
+ "learning_rate": 1.1666666666666665e-05,
2335
+ "loss": 0.1064,
2336
+ "step": 303
2337
+ },
2338
+ {
2339
+ "epoch": 101.33,
2340
+ "learning_rate": 1.1461988304093566e-05,
2341
+ "loss": 0.1166,
2342
+ "step": 304
2343
+ },
2344
+ {
2345
+ "epoch": 101.67,
2346
+ "learning_rate": 1.1257309941520466e-05,
2347
+ "loss": 0.116,
2348
+ "step": 305
2349
+ },
2350
+ {
2351
+ "epoch": 102.0,
2352
+ "learning_rate": 1.1052631578947366e-05,
2353
+ "loss": 0.1121,
2354
+ "step": 306
2355
+ },
2356
+ {
2357
+ "epoch": 102.33,
2358
+ "learning_rate": 1.0847953216374268e-05,
2359
+ "loss": 0.1195,
2360
+ "step": 307
2361
+ },
2362
+ {
2363
+ "epoch": 102.67,
2364
+ "learning_rate": 1.0643274853801168e-05,
2365
+ "loss": 0.1171,
2366
+ "step": 308
2367
+ },
2368
+ {
2369
+ "epoch": 103.0,
2370
+ "learning_rate": 1.0438596491228068e-05,
2371
+ "loss": 0.1115,
2372
+ "step": 309
2373
+ },
2374
+ {
2375
+ "epoch": 103.33,
2376
+ "learning_rate": 1.023391812865497e-05,
2377
+ "loss": 0.1144,
2378
+ "step": 310
2379
+ },
2380
+ {
2381
+ "epoch": 103.33,
2382
+ "eval_accuracy_dropoff": 0.4058285661773152,
2383
+ "eval_accuracy_undropoff": 0.9930000968586917,
2384
+ "eval_accuracy_unlabeled": NaN,
2385
+ "eval_iou_dropoff": 0.35256020038520264,
2386
+ "eval_iou_undropoff": 0.9663975313233037,
2387
+ "eval_iou_unlabeled": NaN,
2388
+ "eval_loss": 0.18475459516048431,
2389
+ "eval_mean_accuracy": 0.6994143315180035,
2390
+ "eval_mean_iou": 0.6594788658542532,
2391
+ "eval_overall_accuracy": 0.9670013427734375,
2392
+ "eval_runtime": 1.7272,
2393
+ "eval_samples_per_second": 8.685,
2394
+ "eval_steps_per_second": 0.579,
2395
+ "step": 310
2396
+ },
2397
+ {
2398
+ "epoch": 103.67,
2399
+ "learning_rate": 1.002923976608187e-05,
2400
+ "loss": 0.111,
2401
+ "step": 311
2402
+ },
2403
+ {
2404
+ "epoch": 104.0,
2405
+ "learning_rate": 9.82456140350877e-06,
2406
+ "loss": 0.1465,
2407
+ "step": 312
2408
+ },
2409
+ {
2410
+ "epoch": 104.33,
2411
+ "learning_rate": 9.619883040935672e-06,
2412
+ "loss": 0.1109,
2413
+ "step": 313
2414
+ },
2415
+ {
2416
+ "epoch": 104.67,
2417
+ "learning_rate": 9.415204678362572e-06,
2418
+ "loss": 0.114,
2419
+ "step": 314
2420
+ },
2421
+ {
2422
+ "epoch": 105.0,
2423
+ "learning_rate": 9.210526315789472e-06,
2424
+ "loss": 0.1056,
2425
+ "step": 315
2426
+ },
2427
+ {
2428
+ "epoch": 105.33,
2429
+ "learning_rate": 9.005847953216374e-06,
2430
+ "loss": 0.1147,
2431
+ "step": 316
2432
+ },
2433
+ {
2434
+ "epoch": 105.67,
2435
+ "learning_rate": 8.801169590643274e-06,
2436
+ "loss": 0.11,
2437
+ "step": 317
2438
+ },
2439
+ {
2440
+ "epoch": 106.0,
2441
+ "learning_rate": 8.596491228070174e-06,
2442
+ "loss": 0.14,
2443
+ "step": 318
2444
+ },
2445
+ {
2446
+ "epoch": 106.33,
2447
+ "learning_rate": 8.391812865497076e-06,
2448
+ "loss": 0.1075,
2449
+ "step": 319
2450
+ },
2451
+ {
2452
+ "epoch": 106.67,
2453
+ "learning_rate": 8.187134502923976e-06,
2454
+ "loss": 0.1144,
2455
+ "step": 320
2456
+ },
2457
+ {
2458
+ "epoch": 106.67,
2459
+ "eval_accuracy_dropoff": 0.4099754175569187,
2460
+ "eval_accuracy_undropoff": 0.9922393303764823,
2461
+ "eval_accuracy_unlabeled": NaN,
2462
+ "eval_iou_dropoff": 0.35115337501783317,
2463
+ "eval_iou_undropoff": 0.9658377322717171,
2464
+ "eval_iou_unlabeled": NaN,
2465
+ "eval_loss": 0.18488384783267975,
2466
+ "eval_mean_accuracy": 0.7011073739667004,
2467
+ "eval_mean_iou": 0.6584955536447752,
2468
+ "eval_overall_accuracy": 0.9664578755696615,
2469
+ "eval_runtime": 1.7037,
2470
+ "eval_samples_per_second": 8.804,
2471
+ "eval_steps_per_second": 0.587,
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 sha256:73f8d9093db73975fef8b7e44446940bf370d51cbeaf1a46d0428c1f0c811df1
3
  size 14932813
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d88d136d6acb7f10bb826b8892c41e8ed75dd4397834328482e4eafa205e9c5e
3
  size 14932813
runs/Feb12_06-10-28_robovision.csres.utexas.edu/events.out.tfevents.1707739842.robovision.csres.utexas.edu.2691839.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:57b694ef0eefe0f41320361003fb1841a63cb136d774e105d6ef296b707b03dc
3
- size 70391
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:62d6a1a67c9fc6ee703f9ff78f82399ae81326ce221693694650064a31da0f9d
3
+ size 79843