fayetitchenal commited on
Commit
c665c24
1 Parent(s): c0952b3

Training in progress, step 19000, checkpoint

Browse files
checkpoint-19000/config.json ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "nvidia/mit-b5",
3
+ "architectures": [
4
+ "SegformerForSemanticSegmentation"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.0,
7
+ "classifier_dropout_prob": 0.1,
8
+ "decoder_hidden_size": 768,
9
+ "depths": [
10
+ 3,
11
+ 6,
12
+ 40,
13
+ 3
14
+ ],
15
+ "downsampling_rates": [
16
+ 1,
17
+ 4,
18
+ 8,
19
+ 16
20
+ ],
21
+ "drop_path_rate": 0.1,
22
+ "hidden_act": "gelu",
23
+ "hidden_dropout_prob": 0.0,
24
+ "hidden_sizes": [
25
+ 64,
26
+ 128,
27
+ 320,
28
+ 512
29
+ ],
30
+ "id2label": {
31
+ "0": "background",
32
+ "1": "double_plant",
33
+ "2": "drydown",
34
+ "3": "endrow",
35
+ "4": "nutrient_deficiency",
36
+ "5": "planter_skip",
37
+ "6": "water",
38
+ "7": "waterway",
39
+ "8": "weed_cluster"
40
+ },
41
+ "image_size": 224,
42
+ "initializer_range": 0.02,
43
+ "label2id": {
44
+ "background": 0,
45
+ "double_plant": 1,
46
+ "drydown": 2,
47
+ "endrow": 3,
48
+ "nutrient_deficiency": 4,
49
+ "planter_skip": 5,
50
+ "water": 6,
51
+ "waterway": 7,
52
+ "weed_cluster": 8
53
+ },
54
+ "layer_norm_eps": 1e-06,
55
+ "mlp_ratios": [
56
+ 4,
57
+ 4,
58
+ 4,
59
+ 4
60
+ ],
61
+ "model_type": "segformer",
62
+ "num_attention_heads": [
63
+ 1,
64
+ 2,
65
+ 5,
66
+ 8
67
+ ],
68
+ "num_channels": 4,
69
+ "num_encoder_blocks": 4,
70
+ "patch_sizes": [
71
+ 7,
72
+ 3,
73
+ 3,
74
+ 3
75
+ ],
76
+ "reshape_last_stage": true,
77
+ "semantic_loss_ignore_index": 255,
78
+ "sr_ratios": [
79
+ 8,
80
+ 4,
81
+ 2,
82
+ 1
83
+ ],
84
+ "strides": [
85
+ 4,
86
+ 2,
87
+ 2,
88
+ 2
89
+ ],
90
+ "torch_dtype": "float32",
91
+ "transformers_version": "4.40.2"
92
+ }
checkpoint-19000/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:12322b8493f5bcd54fb0229220b7cbe0bf8dcf9a797d816d7e3e0e41552f8e88
3
+ size 338562516
checkpoint-19000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e087d5257f70d55f8e9f0d65fa07512fed232e65bcfc3346066bbf84aff9051e
3
+ size 677518143
checkpoint-19000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b8aedd86f388a469ef1fd56afc96f40526f7f22c01e27453eb2edcf80063c452
3
+ size 14575
checkpoint-19000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8089b01ddaa03b82f7309ff3a44affdaf1d0abd806e645d786a04514ac2036ea
3
+ size 563
checkpoint-19000/trainer_state.json ADDED
@@ -0,0 +1,1389 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 3.1666666666666665,
5
+ "eval_steps": 500,
6
+ "global_step": 19000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.08333333333333333,
13
+ "grad_norm": 10.64107608795166,
14
+ "learning_rate": 2.4999999999999998e-06,
15
+ "loss": 4.1627,
16
+ "step": 500
17
+ },
18
+ {
19
+ "epoch": 0.08333333333333333,
20
+ "eval_accuracy_background": 0.014990974836900402,
21
+ "eval_accuracy_double_plant": 0.09625850817128659,
22
+ "eval_accuracy_drydown": 0.11748866381009407,
23
+ "eval_accuracy_endrow": 0.019624906998737878,
24
+ "eval_accuracy_nutrient_deficiency": 0.39043216558572647,
25
+ "eval_accuracy_planter_skip": 0.03244089779472675,
26
+ "eval_accuracy_water": 0.4902746667077927,
27
+ "eval_accuracy_waterway": 0.37818186421979577,
28
+ "eval_accuracy_weed_cluster": 0.5157577782392276,
29
+ "eval_iou_background": 0.01485215844086368,
30
+ "eval_iou_double_plant": 0.025830652956995166,
31
+ "eval_iou_drydown": 0.09098524126821965,
32
+ "eval_iou_endrow": 0.011190399377301194,
33
+ "eval_iou_nutrient_deficiency": 0.16172838363740288,
34
+ "eval_iou_planter_skip": 0.007145844854739052,
35
+ "eval_iou_water": 0.052629358314533047,
36
+ "eval_iou_waterway": 0.008009602169192399,
37
+ "eval_iou_weed_cluster": 0.055193229922437775,
38
+ "eval_loss": 3.9555599689483643,
39
+ "eval_mean_accuracy": 0.22838338070714315,
40
+ "eval_mean_iou": 0.047507207882409426,
41
+ "eval_overall_accuracy": 0.09656532361323403,
42
+ "eval_runtime": 348.036,
43
+ "eval_samples_per_second": 8.166,
44
+ "eval_steps_per_second": 2.724,
45
+ "step": 500
46
+ },
47
+ {
48
+ "epoch": 0.16666666666666666,
49
+ "grad_norm": 12.677851676940918,
50
+ "learning_rate": 4.9999999999999996e-06,
51
+ "loss": 3.7698,
52
+ "step": 1000
53
+ },
54
+ {
55
+ "epoch": 0.16666666666666666,
56
+ "eval_accuracy_background": 0.29766305371935275,
57
+ "eval_accuracy_double_plant": 0.04300475016987658,
58
+ "eval_accuracy_drydown": 0.7567223885695242,
59
+ "eval_accuracy_endrow": 0.006538411852764754,
60
+ "eval_accuracy_nutrient_deficiency": 0.5373960102281351,
61
+ "eval_accuracy_planter_skip": 0.1493345947032268,
62
+ "eval_accuracy_water": 0.2900425128140623,
63
+ "eval_accuracy_waterway": 0.37062750835043584,
64
+ "eval_accuracy_weed_cluster": 0.242435460451953,
65
+ "eval_iou_background": 0.2681855463534359,
66
+ "eval_iou_double_plant": 0.02937987848319999,
67
+ "eval_iou_drydown": 0.30192234804386486,
68
+ "eval_iou_endrow": 0.006310524335748097,
69
+ "eval_iou_nutrient_deficiency": 0.19394253102070813,
70
+ "eval_iou_planter_skip": 0.08231306246610917,
71
+ "eval_iou_water": 0.10160883330705332,
72
+ "eval_iou_waterway": 0.050415164283578985,
73
+ "eval_iou_weed_cluster": 0.07122746911823011,
74
+ "eval_loss": 3.33693528175354,
75
+ "eval_mean_accuracy": 0.29930718787325905,
76
+ "eval_mean_iou": 0.12281170637910319,
77
+ "eval_overall_accuracy": 0.37769782397579943,
78
+ "eval_runtime": 260.2627,
79
+ "eval_samples_per_second": 10.92,
80
+ "eval_steps_per_second": 3.642,
81
+ "step": 1000
82
+ },
83
+ {
84
+ "epoch": 0.25,
85
+ "grad_norm": 12.100262641906738,
86
+ "learning_rate": 7.5e-06,
87
+ "loss": 3.2674,
88
+ "step": 1500
89
+ },
90
+ {
91
+ "epoch": 0.25,
92
+ "eval_accuracy_background": 0.48419612667845113,
93
+ "eval_accuracy_double_plant": 0.013344873041957285,
94
+ "eval_accuracy_drydown": 0.8872887901430043,
95
+ "eval_accuracy_endrow": 0.015151865793565866,
96
+ "eval_accuracy_nutrient_deficiency": 0.37784363150955347,
97
+ "eval_accuracy_planter_skip": 0.1236399017700026,
98
+ "eval_accuracy_water": 0.6308252089425159,
99
+ "eval_accuracy_waterway": 0.4153131997350911,
100
+ "eval_accuracy_weed_cluster": 0.2533755890828509,
101
+ "eval_iou_background": 0.4220656310747218,
102
+ "eval_iou_double_plant": 0.012970922185309422,
103
+ "eval_iou_drydown": 0.3650381802310761,
104
+ "eval_iou_endrow": 0.014768985148023165,
105
+ "eval_iou_nutrient_deficiency": 0.20002194862446826,
106
+ "eval_iou_planter_skip": 0.09927397940127604,
107
+ "eval_iou_water": 0.27391064172674834,
108
+ "eval_iou_waterway": 0.10636423788784055,
109
+ "eval_iou_weed_cluster": 0.10586226367786514,
110
+ "eval_loss": 2.763476610183716,
111
+ "eval_mean_accuracy": 0.3556643540774437,
112
+ "eval_mean_iou": 0.17780853221748097,
113
+ "eval_overall_accuracy": 0.5152837603493446,
114
+ "eval_runtime": 258.1136,
115
+ "eval_samples_per_second": 11.011,
116
+ "eval_steps_per_second": 3.673,
117
+ "step": 1500
118
+ },
119
+ {
120
+ "epoch": 0.3333333333333333,
121
+ "grad_norm": 13.388419151306152,
122
+ "learning_rate": 9.999999999999999e-06,
123
+ "loss": 2.8338,
124
+ "step": 2000
125
+ },
126
+ {
127
+ "epoch": 0.3333333333333333,
128
+ "eval_accuracy_background": 0.6007479203520831,
129
+ "eval_accuracy_double_plant": 0.09356295249957611,
130
+ "eval_accuracy_drydown": 0.8340823867683501,
131
+ "eval_accuracy_endrow": 0.0035413015410058713,
132
+ "eval_accuracy_nutrient_deficiency": 0.44282241132222916,
133
+ "eval_accuracy_planter_skip": 0.11649665949385082,
134
+ "eval_accuracy_water": 0.921699186070695,
135
+ "eval_accuracy_waterway": 0.20547725725890914,
136
+ "eval_accuracy_weed_cluster": 0.3415216522793772,
137
+ "eval_iou_background": 0.5156964205169746,
138
+ "eval_iou_double_plant": 0.07643992513295463,
139
+ "eval_iou_drydown": 0.4276993634847662,
140
+ "eval_iou_endrow": 0.0035320673127108605,
141
+ "eval_iou_nutrient_deficiency": 0.23942297475711152,
142
+ "eval_iou_planter_skip": 0.09915967157890872,
143
+ "eval_iou_water": 0.37311176318003697,
144
+ "eval_iou_waterway": 0.1337041070891874,
145
+ "eval_iou_weed_cluster": 0.17456818424609255,
146
+ "eval_loss": 2.2476296424865723,
147
+ "eval_mean_accuracy": 0.39555019195400853,
148
+ "eval_mean_iou": 0.22703716414430483,
149
+ "eval_overall_accuracy": 0.6012494768590696,
150
+ "eval_runtime": 261.9728,
151
+ "eval_samples_per_second": 10.848,
152
+ "eval_steps_per_second": 3.619,
153
+ "step": 2000
154
+ },
155
+ {
156
+ "epoch": 0.4166666666666667,
157
+ "grad_norm": 31.341535568237305,
158
+ "learning_rate": 1.25e-05,
159
+ "loss": 2.5604,
160
+ "step": 2500
161
+ },
162
+ {
163
+ "epoch": 0.4166666666666667,
164
+ "eval_accuracy_background": 0.7311239150003357,
165
+ "eval_accuracy_double_plant": 0.18906004388106473,
166
+ "eval_accuracy_drydown": 0.7049642054247133,
167
+ "eval_accuracy_endrow": 0.03270138529568011,
168
+ "eval_accuracy_nutrient_deficiency": 0.2058331492617626,
169
+ "eval_accuracy_planter_skip": 0.07169662420163618,
170
+ "eval_accuracy_water": 0.9476640149608306,
171
+ "eval_accuracy_waterway": 0.4427819971981128,
172
+ "eval_accuracy_weed_cluster": 0.38249564148248877,
173
+ "eval_iou_background": 0.5934145085795158,
174
+ "eval_iou_double_plant": 0.10950501729968068,
175
+ "eval_iou_drydown": 0.42479480844402817,
176
+ "eval_iou_endrow": 0.030470447854384766,
177
+ "eval_iou_nutrient_deficiency": 0.16681197423835636,
178
+ "eval_iou_planter_skip": 0.06706541524720425,
179
+ "eval_iou_water": 0.36387793500767635,
180
+ "eval_iou_waterway": 0.19571015933545038,
181
+ "eval_iou_weed_cluster": 0.22406855402046205,
182
+ "eval_loss": 2.0893733501434326,
183
+ "eval_mean_accuracy": 0.41203566407851394,
184
+ "eval_mean_iou": 0.24174653555852876,
185
+ "eval_overall_accuracy": 0.6543493727987272,
186
+ "eval_runtime": 259.8765,
187
+ "eval_samples_per_second": 10.936,
188
+ "eval_steps_per_second": 3.648,
189
+ "step": 2500
190
+ },
191
+ {
192
+ "epoch": 0.5,
193
+ "grad_norm": 22.26491928100586,
194
+ "learning_rate": 1.5e-05,
195
+ "loss": 2.4032,
196
+ "step": 3000
197
+ },
198
+ {
199
+ "epoch": 0.5,
200
+ "eval_accuracy_background": 0.6732741082932401,
201
+ "eval_accuracy_double_plant": 0.10359602903136565,
202
+ "eval_accuracy_drydown": 0.8666517772278536,
203
+ "eval_accuracy_endrow": 0.035669653990401784,
204
+ "eval_accuracy_nutrient_deficiency": 0.2536647750774501,
205
+ "eval_accuracy_planter_skip": 0.24370499629921916,
206
+ "eval_accuracy_water": 0.9767091931497752,
207
+ "eval_accuracy_waterway": 0.6842904410593037,
208
+ "eval_accuracy_weed_cluster": 0.3698701654570609,
209
+ "eval_iou_background": 0.5681057490790173,
210
+ "eval_iou_double_plant": 0.0852643551765096,
211
+ "eval_iou_drydown": 0.4543271536581631,
212
+ "eval_iou_endrow": 0.03370061965697607,
213
+ "eval_iou_nutrient_deficiency": 0.19633806402515588,
214
+ "eval_iou_planter_skip": 0.18150485646008124,
215
+ "eval_iou_water": 0.3528168740365702,
216
+ "eval_iou_waterway": 0.16230336403850296,
217
+ "eval_iou_weed_cluster": 0.22603294672854196,
218
+ "eval_loss": 1.9570292234420776,
219
+ "eval_mean_accuracy": 0.4674923488428522,
220
+ "eval_mean_iou": 0.2511548869843909,
221
+ "eval_overall_accuracy": 0.6432186597875551,
222
+ "eval_runtime": 259.2993,
223
+ "eval_samples_per_second": 10.96,
224
+ "eval_steps_per_second": 3.656,
225
+ "step": 3000
226
+ },
227
+ {
228
+ "epoch": 0.5833333333333334,
229
+ "grad_norm": 31.124582290649414,
230
+ "learning_rate": 1.7500000000000002e-05,
231
+ "loss": 2.3362,
232
+ "step": 3500
233
+ },
234
+ {
235
+ "epoch": 0.5833333333333334,
236
+ "eval_accuracy_background": 0.5814538721345998,
237
+ "eval_accuracy_double_plant": 0.06263123204822073,
238
+ "eval_accuracy_drydown": 0.9572617680178966,
239
+ "eval_accuracy_endrow": 0.1022870538789039,
240
+ "eval_accuracy_nutrient_deficiency": 0.155304235691705,
241
+ "eval_accuracy_planter_skip": 0.28837366612584614,
242
+ "eval_accuracy_water": 0.957647648655113,
243
+ "eval_accuracy_waterway": 0.4168520985122232,
244
+ "eval_accuracy_weed_cluster": 0.20255586893627922,
245
+ "eval_iou_background": 0.5035989534908836,
246
+ "eval_iou_double_plant": 0.05887727499276805,
247
+ "eval_iou_drydown": 0.35033214248192274,
248
+ "eval_iou_endrow": 0.08288492557854046,
249
+ "eval_iou_nutrient_deficiency": 0.1308384862727777,
250
+ "eval_iou_planter_skip": 0.23854848545793084,
251
+ "eval_iou_water": 0.33185434658316154,
252
+ "eval_iou_waterway": 0.19380165775707148,
253
+ "eval_iou_weed_cluster": 0.16104566462906844,
254
+ "eval_loss": 2.403474807739258,
255
+ "eval_mean_accuracy": 0.4138186048889764,
256
+ "eval_mean_iou": 0.22797577080490272,
257
+ "eval_overall_accuracy": 0.5765593656585961,
258
+ "eval_runtime": 258.5568,
259
+ "eval_samples_per_second": 10.992,
260
+ "eval_steps_per_second": 3.667,
261
+ "step": 3500
262
+ },
263
+ {
264
+ "epoch": 0.6666666666666666,
265
+ "grad_norm": 27.981061935424805,
266
+ "learning_rate": 1.9999999999999998e-05,
267
+ "loss": 2.2454,
268
+ "step": 4000
269
+ },
270
+ {
271
+ "epoch": 0.6666666666666666,
272
+ "eval_accuracy_background": 0.6165356472563173,
273
+ "eval_accuracy_double_plant": 0.2464305201601748,
274
+ "eval_accuracy_drydown": 0.9388557439528662,
275
+ "eval_accuracy_endrow": 0.08952317035344279,
276
+ "eval_accuracy_nutrient_deficiency": 0.30307985133610366,
277
+ "eval_accuracy_planter_skip": 0.34189676046879824,
278
+ "eval_accuracy_water": 0.9684396578613939,
279
+ "eval_accuracy_waterway": 0.4364168499156771,
280
+ "eval_accuracy_weed_cluster": 0.48568842831047665,
281
+ "eval_iou_background": 0.5406762574665314,
282
+ "eval_iou_double_plant": 0.12820291315879165,
283
+ "eval_iou_drydown": 0.445376041256294,
284
+ "eval_iou_endrow": 0.07582305802889684,
285
+ "eval_iou_nutrient_deficiency": 0.2473209944226292,
286
+ "eval_iou_planter_skip": 0.2571484714289717,
287
+ "eval_iou_water": 0.3523385474174709,
288
+ "eval_iou_waterway": 0.2182523975088832,
289
+ "eval_iou_weed_cluster": 0.22609664246227254,
290
+ "eval_loss": 1.9709433317184448,
291
+ "eval_mean_accuracy": 0.49187406995725,
292
+ "eval_mean_iou": 0.27680392479452676,
293
+ "eval_overall_accuracy": 0.6261566315021039,
294
+ "eval_runtime": 262.6128,
295
+ "eval_samples_per_second": 10.822,
296
+ "eval_steps_per_second": 3.61,
297
+ "step": 4000
298
+ },
299
+ {
300
+ "epoch": 0.75,
301
+ "grad_norm": 19.56971549987793,
302
+ "learning_rate": 2.25e-05,
303
+ "loss": 2.2631,
304
+ "step": 4500
305
+ },
306
+ {
307
+ "epoch": 0.75,
308
+ "eval_accuracy_background": 0.7136164920788886,
309
+ "eval_accuracy_double_plant": 0.2274296812949631,
310
+ "eval_accuracy_drydown": 0.8423346225534782,
311
+ "eval_accuracy_endrow": 0.3372638527840968,
312
+ "eval_accuracy_nutrient_deficiency": 0.39363536828312395,
313
+ "eval_accuracy_planter_skip": 0.24472503933611423,
314
+ "eval_accuracy_water": 0.8132625823496894,
315
+ "eval_accuracy_waterway": 0.5279086387447126,
316
+ "eval_accuracy_weed_cluster": 0.2613040701496915,
317
+ "eval_iou_background": 0.6023960172505115,
318
+ "eval_iou_double_plant": 0.14551908714826825,
319
+ "eval_iou_drydown": 0.48571101575483516,
320
+ "eval_iou_endrow": 0.15976738972856136,
321
+ "eval_iou_nutrient_deficiency": 0.26876578893765557,
322
+ "eval_iou_planter_skip": 0.21772117232934346,
323
+ "eval_iou_water": 0.3885318463525075,
324
+ "eval_iou_waterway": 0.25285421749201065,
325
+ "eval_iou_weed_cluster": 0.19549177279724894,
326
+ "eval_loss": 1.8094414472579956,
327
+ "eval_mean_accuracy": 0.48460892750830653,
328
+ "eval_mean_iou": 0.3018620341989936,
329
+ "eval_overall_accuracy": 0.6746520910480136,
330
+ "eval_runtime": 263.1854,
331
+ "eval_samples_per_second": 10.798,
332
+ "eval_steps_per_second": 3.602,
333
+ "step": 4500
334
+ },
335
+ {
336
+ "epoch": 0.8333333333333334,
337
+ "grad_norm": 15.023950576782227,
338
+ "learning_rate": 2.5e-05,
339
+ "loss": 2.2139,
340
+ "step": 5000
341
+ },
342
+ {
343
+ "epoch": 0.8333333333333334,
344
+ "eval_accuracy_background": 0.6023184738684322,
345
+ "eval_accuracy_double_plant": 0.19349261148429422,
346
+ "eval_accuracy_drydown": 0.4844650786080634,
347
+ "eval_accuracy_endrow": 0.16074521211886753,
348
+ "eval_accuracy_nutrient_deficiency": 0.6620136299007383,
349
+ "eval_accuracy_planter_skip": 0.20313071353995618,
350
+ "eval_accuracy_water": 0.9327820785252834,
351
+ "eval_accuracy_waterway": 0.42715639009708817,
352
+ "eval_accuracy_weed_cluster": 0.5896869029400611,
353
+ "eval_iou_background": 0.5071775649990886,
354
+ "eval_iou_double_plant": 0.14848297634630775,
355
+ "eval_iou_drydown": 0.34958365519874773,
356
+ "eval_iou_endrow": 0.1266887334828955,
357
+ "eval_iou_nutrient_deficiency": 0.3268729234134353,
358
+ "eval_iou_planter_skip": 0.1708553631916936,
359
+ "eval_iou_water": 0.3656991869753895,
360
+ "eval_iou_waterway": 0.15825121509439088,
361
+ "eval_iou_weed_cluster": 0.18557336284286047,
362
+ "eval_loss": 2.1465232372283936,
363
+ "eval_mean_accuracy": 0.47286567678697605,
364
+ "eval_mean_iou": 0.2599094423938677,
365
+ "eval_overall_accuracy": 0.585979408046041,
366
+ "eval_runtime": 258.2944,
367
+ "eval_samples_per_second": 11.003,
368
+ "eval_steps_per_second": 3.67,
369
+ "step": 5000
370
+ },
371
+ {
372
+ "epoch": 0.9166666666666666,
373
+ "grad_norm": 15.944084167480469,
374
+ "learning_rate": 2.75e-05,
375
+ "loss": 2.1107,
376
+ "step": 5500
377
+ },
378
+ {
379
+ "epoch": 0.9166666666666666,
380
+ "eval_accuracy_background": 0.6320754005058506,
381
+ "eval_accuracy_double_plant": 0.18459879167713122,
382
+ "eval_accuracy_drydown": 0.7435807472335404,
383
+ "eval_accuracy_endrow": 0.4730924983472199,
384
+ "eval_accuracy_nutrient_deficiency": 0.7501714321465206,
385
+ "eval_accuracy_planter_skip": 0.394123356093544,
386
+ "eval_accuracy_water": 0.8982667262993669,
387
+ "eval_accuracy_waterway": 0.2070484619961853,
388
+ "eval_accuracy_weed_cluster": 0.06027005934327404,
389
+ "eval_iou_background": 0.5431209987641049,
390
+ "eval_iou_double_plant": 0.1123139870852644,
391
+ "eval_iou_drydown": 0.4467521390448892,
392
+ "eval_iou_endrow": 0.1507248222065432,
393
+ "eval_iou_nutrient_deficiency": 0.3257302284667843,
394
+ "eval_iou_planter_skip": 0.2504630445874714,
395
+ "eval_iou_water": 0.38357052112337536,
396
+ "eval_iou_waterway": 0.1656467966651648,
397
+ "eval_iou_weed_cluster": 0.0586611852117363,
398
+ "eval_loss": 2.075209856033325,
399
+ "eval_mean_accuracy": 0.48258083040473704,
400
+ "eval_mean_iou": 0.27077596923948155,
401
+ "eval_overall_accuracy": 0.6281377263734175,
402
+ "eval_runtime": 259.3294,
403
+ "eval_samples_per_second": 10.959,
404
+ "eval_steps_per_second": 3.656,
405
+ "step": 5500
406
+ },
407
+ {
408
+ "epoch": 1.0,
409
+ "grad_norm": 4.946102142333984,
410
+ "learning_rate": 3e-05,
411
+ "loss": 2.1338,
412
+ "step": 6000
413
+ },
414
+ {
415
+ "epoch": 1.0,
416
+ "eval_accuracy_background": 0.6964471310778703,
417
+ "eval_accuracy_double_plant": 0.2429333892576808,
418
+ "eval_accuracy_drydown": 0.8654738033211103,
419
+ "eval_accuracy_endrow": 0.05382795612758288,
420
+ "eval_accuracy_nutrient_deficiency": 0.30272693922024607,
421
+ "eval_accuracy_planter_skip": 0.39966472396096286,
422
+ "eval_accuracy_water": 0.9846543263110985,
423
+ "eval_accuracy_waterway": 0.7568692730591431,
424
+ "eval_accuracy_weed_cluster": 0.10615040627525124,
425
+ "eval_iou_background": 0.5855221723102959,
426
+ "eval_iou_double_plant": 0.1361405520488392,
427
+ "eval_iou_drydown": 0.4768776656490699,
428
+ "eval_iou_endrow": 0.05007269671892798,
429
+ "eval_iou_nutrient_deficiency": 0.22420499455655446,
430
+ "eval_iou_planter_skip": 0.2752533913799669,
431
+ "eval_iou_water": 0.29633141374004973,
432
+ "eval_iou_waterway": 0.1110136523015455,
433
+ "eval_iou_weed_cluster": 0.10019203575135141,
434
+ "eval_loss": 2.053126335144043,
435
+ "eval_mean_accuracy": 0.489860883178994,
436
+ "eval_mean_iou": 0.25062317493962233,
437
+ "eval_overall_accuracy": 0.6527557080115521,
438
+ "eval_runtime": 261.8254,
439
+ "eval_samples_per_second": 10.855,
440
+ "eval_steps_per_second": 3.621,
441
+ "step": 6000
442
+ },
443
+ {
444
+ "epoch": 1.0833333333333333,
445
+ "grad_norm": 16.1883602142334,
446
+ "learning_rate": 3.25e-05,
447
+ "loss": 2.0743,
448
+ "step": 6500
449
+ },
450
+ {
451
+ "epoch": 1.0833333333333333,
452
+ "eval_accuracy_background": 0.6163441350441362,
453
+ "eval_accuracy_double_plant": 0.3179624244479489,
454
+ "eval_accuracy_drydown": 0.637096555419927,
455
+ "eval_accuracy_endrow": 0.45733081369282536,
456
+ "eval_accuracy_nutrient_deficiency": 0.8510315773068933,
457
+ "eval_accuracy_planter_skip": 0.5177706104082623,
458
+ "eval_accuracy_water": 0.9512477714625793,
459
+ "eval_accuracy_waterway": 0.5107166291437305,
460
+ "eval_accuracy_weed_cluster": 0.24186705045667198,
461
+ "eval_iou_background": 0.5350583256945234,
462
+ "eval_iou_double_plant": 0.17959294330409034,
463
+ "eval_iou_drydown": 0.4634150029792384,
464
+ "eval_iou_endrow": 0.16707740028365953,
465
+ "eval_iou_nutrient_deficiency": 0.31532389062386124,
466
+ "eval_iou_planter_skip": 0.2948590617515534,
467
+ "eval_iou_water": 0.34520224120688753,
468
+ "eval_iou_waterway": 0.11975132688004231,
469
+ "eval_iou_weed_cluster": 0.2113183362317597,
470
+ "eval_loss": 1.8855762481689453,
471
+ "eval_mean_accuracy": 0.5668186185981083,
472
+ "eval_mean_iou": 0.29239983655062396,
473
+ "eval_overall_accuracy": 0.6228305054183748,
474
+ "eval_runtime": 259.3394,
475
+ "eval_samples_per_second": 10.959,
476
+ "eval_steps_per_second": 3.655,
477
+ "step": 6500
478
+ },
479
+ {
480
+ "epoch": 1.1666666666666667,
481
+ "grad_norm": 9.279212951660156,
482
+ "learning_rate": 3.5000000000000004e-05,
483
+ "loss": 2.0725,
484
+ "step": 7000
485
+ },
486
+ {
487
+ "epoch": 1.1666666666666667,
488
+ "eval_accuracy_background": 0.7373301969750995,
489
+ "eval_accuracy_double_plant": 0.33336127425920425,
490
+ "eval_accuracy_drydown": 0.6301703388238222,
491
+ "eval_accuracy_endrow": 0.37253283281326316,
492
+ "eval_accuracy_nutrient_deficiency": 0.34279961797329944,
493
+ "eval_accuracy_planter_skip": 0.5799829420962596,
494
+ "eval_accuracy_water": 0.9469093944591689,
495
+ "eval_accuracy_waterway": 0.3649137190752288,
496
+ "eval_accuracy_weed_cluster": 0.4194977852900649,
497
+ "eval_iou_background": 0.6045108089230737,
498
+ "eval_iou_double_plant": 0.15103332950916856,
499
+ "eval_iou_drydown": 0.4284455196537357,
500
+ "eval_iou_endrow": 0.18315189002409357,
501
+ "eval_iou_nutrient_deficiency": 0.2540752037931447,
502
+ "eval_iou_planter_skip": 0.2268832410220617,
503
+ "eval_iou_water": 0.3615440261043886,
504
+ "eval_iou_waterway": 0.2757438894003987,
505
+ "eval_iou_weed_cluster": 0.24843146863053017,
506
+ "eval_loss": 1.8260598182678223,
507
+ "eval_mean_accuracy": 0.5252775668628233,
508
+ "eval_mean_iou": 0.3037577085622884,
509
+ "eval_overall_accuracy": 0.6668996089543237,
510
+ "eval_runtime": 257.8864,
511
+ "eval_samples_per_second": 11.02,
512
+ "eval_steps_per_second": 3.676,
513
+ "step": 7000
514
+ },
515
+ {
516
+ "epoch": 1.25,
517
+ "grad_norm": 12.69166088104248,
518
+ "learning_rate": 3.7500000000000003e-05,
519
+ "loss": 2.1051,
520
+ "step": 7500
521
+ },
522
+ {
523
+ "epoch": 1.25,
524
+ "eval_accuracy_background": 0.6136021677052333,
525
+ "eval_accuracy_double_plant": 0.21675932855086671,
526
+ "eval_accuracy_drydown": 0.8978391275698134,
527
+ "eval_accuracy_endrow": 0.31490227354840317,
528
+ "eval_accuracy_nutrient_deficiency": 0.6391839292944432,
529
+ "eval_accuracy_planter_skip": 0.4095695820323414,
530
+ "eval_accuracy_water": 0.9815472332260521,
531
+ "eval_accuracy_waterway": 0.3863849586942106,
532
+ "eval_accuracy_weed_cluster": 0.41607248209352754,
533
+ "eval_iou_background": 0.5478072558942303,
534
+ "eval_iou_double_plant": 0.15633489787457702,
535
+ "eval_iou_drydown": 0.4606893739380495,
536
+ "eval_iou_endrow": 0.18368040175633407,
537
+ "eval_iou_nutrient_deficiency": 0.36167812896859036,
538
+ "eval_iou_planter_skip": 0.3133978757416113,
539
+ "eval_iou_water": 0.35102829123972634,
540
+ "eval_iou_waterway": 0.2651990401867848,
541
+ "eval_iou_weed_cluster": 0.27107161264823754,
542
+ "eval_loss": 1.7672898769378662,
543
+ "eval_mean_accuracy": 0.5417623425238768,
544
+ "eval_mean_iou": 0.32343187536090456,
545
+ "eval_overall_accuracy": 0.6462444076512336,
546
+ "eval_runtime": 263.0897,
547
+ "eval_samples_per_second": 10.802,
548
+ "eval_steps_per_second": 3.603,
549
+ "step": 7500
550
+ },
551
+ {
552
+ "epoch": 1.3333333333333333,
553
+ "grad_norm": 26.389280319213867,
554
+ "learning_rate": 3.9999999999999996e-05,
555
+ "loss": 2.0567,
556
+ "step": 8000
557
+ },
558
+ {
559
+ "epoch": 1.3333333333333333,
560
+ "eval_accuracy_background": 0.6516741544849038,
561
+ "eval_accuracy_double_plant": 0.22472217370629263,
562
+ "eval_accuracy_drydown": 0.9205657832973893,
563
+ "eval_accuracy_endrow": 0.1334717500678728,
564
+ "eval_accuracy_nutrient_deficiency": 0.579114420966078,
565
+ "eval_accuracy_planter_skip": 0.6448299356407252,
566
+ "eval_accuracy_water": 0.8737892085078403,
567
+ "eval_accuracy_waterway": 0.4514893265909921,
568
+ "eval_accuracy_weed_cluster": 0.36867061298945264,
569
+ "eval_iou_background": 0.5743802241628614,
570
+ "eval_iou_double_plant": 0.17379933416714446,
571
+ "eval_iou_drydown": 0.4870945365813324,
572
+ "eval_iou_endrow": 0.1124492323800547,
573
+ "eval_iou_nutrient_deficiency": 0.35858088912475333,
574
+ "eval_iou_planter_skip": 0.22081427365766507,
575
+ "eval_iou_water": 0.4188886664719046,
576
+ "eval_iou_waterway": 0.23882510300705312,
577
+ "eval_iou_weed_cluster": 0.22928729873239137,
578
+ "eval_loss": 1.7339626550674438,
579
+ "eval_mean_accuracy": 0.5387030406946163,
580
+ "eval_mean_iou": 0.3126799509205734,
581
+ "eval_overall_accuracy": 0.6655563976415058,
582
+ "eval_runtime": 262.6835,
583
+ "eval_samples_per_second": 10.819,
584
+ "eval_steps_per_second": 3.609,
585
+ "step": 8000
586
+ },
587
+ {
588
+ "epoch": 1.4166666666666667,
589
+ "grad_norm": 16.169328689575195,
590
+ "learning_rate": 4.25e-05,
591
+ "loss": 2.0731,
592
+ "step": 8500
593
+ },
594
+ {
595
+ "epoch": 1.4166666666666667,
596
+ "eval_accuracy_background": 0.7486936916842247,
597
+ "eval_accuracy_double_plant": 0.2930715215459597,
598
+ "eval_accuracy_drydown": 0.7255160536916373,
599
+ "eval_accuracy_endrow": 0.4577216435093236,
600
+ "eval_accuracy_nutrient_deficiency": 0.4830792419842683,
601
+ "eval_accuracy_planter_skip": 0.7417698065300401,
602
+ "eval_accuracy_water": 0.9756065468432125,
603
+ "eval_accuracy_waterway": 0.273890366668282,
604
+ "eval_accuracy_weed_cluster": 0.35391598936308855,
605
+ "eval_iou_background": 0.6323410133400419,
606
+ "eval_iou_double_plant": 0.17111536697625435,
607
+ "eval_iou_drydown": 0.5110135373059105,
608
+ "eval_iou_endrow": 0.16559443160045,
609
+ "eval_iou_nutrient_deficiency": 0.3404264291064937,
610
+ "eval_iou_planter_skip": 0.21812035844976185,
611
+ "eval_iou_water": 0.35579748623298973,
612
+ "eval_iou_waterway": 0.20254597755885112,
613
+ "eval_iou_weed_cluster": 0.24793962096921052,
614
+ "eval_loss": 1.6961616277694702,
615
+ "eval_mean_accuracy": 0.5614738735355596,
616
+ "eval_mean_iou": 0.31609935794888483,
617
+ "eval_overall_accuracy": 0.6986505820712626,
618
+ "eval_runtime": 262.6198,
619
+ "eval_samples_per_second": 10.822,
620
+ "eval_steps_per_second": 3.61,
621
+ "step": 8500
622
+ },
623
+ {
624
+ "epoch": 1.5,
625
+ "grad_norm": 9.605523109436035,
626
+ "learning_rate": 4.5e-05,
627
+ "loss": 2.0062,
628
+ "step": 9000
629
+ },
630
+ {
631
+ "epoch": 1.5,
632
+ "eval_accuracy_background": 0.6385280729636846,
633
+ "eval_accuracy_double_plant": 0.38205242780086,
634
+ "eval_accuracy_drydown": 0.9496890843481527,
635
+ "eval_accuracy_endrow": 0.34276586617075205,
636
+ "eval_accuracy_nutrient_deficiency": 0.4966985380725304,
637
+ "eval_accuracy_planter_skip": 0.7026444652494228,
638
+ "eval_accuracy_water": 0.7442517574456261,
639
+ "eval_accuracy_waterway": 0.46809502667206265,
640
+ "eval_accuracy_weed_cluster": 0.17348492439927163,
641
+ "eval_iou_background": 0.5609579182369832,
642
+ "eval_iou_double_plant": 0.16239615673750246,
643
+ "eval_iou_drydown": 0.45202834914092793,
644
+ "eval_iou_endrow": 0.18367824595658963,
645
+ "eval_iou_nutrient_deficiency": 0.34617965104488957,
646
+ "eval_iou_planter_skip": 0.2580270293767756,
647
+ "eval_iou_water": 0.3425501321917906,
648
+ "eval_iou_waterway": 0.19866797232183966,
649
+ "eval_iou_weed_cluster": 0.13472834814631707,
650
+ "eval_loss": 1.9120891094207764,
651
+ "eval_mean_accuracy": 0.5442455736802626,
652
+ "eval_mean_iou": 0.2932459781281795,
653
+ "eval_overall_accuracy": 0.6456323905823719,
654
+ "eval_runtime": 258.4421,
655
+ "eval_samples_per_second": 10.997,
656
+ "eval_steps_per_second": 3.668,
657
+ "step": 9000
658
+ },
659
+ {
660
+ "epoch": 1.5833333333333335,
661
+ "grad_norm": 9.02011489868164,
662
+ "learning_rate": 4.7499999999999996e-05,
663
+ "loss": 2.0069,
664
+ "step": 9500
665
+ },
666
+ {
667
+ "epoch": 1.5833333333333335,
668
+ "eval_accuracy_background": 0.5921818727290818,
669
+ "eval_accuracy_double_plant": 0.3459265635975844,
670
+ "eval_accuracy_drydown": 0.9022492563261855,
671
+ "eval_accuracy_endrow": 0.39012380134585,
672
+ "eval_accuracy_nutrient_deficiency": 0.6176093671439052,
673
+ "eval_accuracy_planter_skip": 0.7456583223453638,
674
+ "eval_accuracy_water": 0.930193012579653,
675
+ "eval_accuracy_waterway": 0.6027143991593465,
676
+ "eval_accuracy_weed_cluster": 0.38137543613044333,
677
+ "eval_iou_background": 0.5323074634115271,
678
+ "eval_iou_double_plant": 0.132029668948867,
679
+ "eval_iou_drydown": 0.4864590469093194,
680
+ "eval_iou_endrow": 0.2008338441059683,
681
+ "eval_iou_nutrient_deficiency": 0.36281261663843545,
682
+ "eval_iou_planter_skip": 0.18127130680379444,
683
+ "eval_iou_water": 0.3502148412760265,
684
+ "eval_iou_waterway": 0.14129351940530874,
685
+ "eval_iou_weed_cluster": 0.21689374484941243,
686
+ "eval_loss": 1.9075040817260742,
687
+ "eval_mean_accuracy": 0.6120035590397126,
688
+ "eval_mean_iou": 0.28934622803873994,
689
+ "eval_overall_accuracy": 0.6314946434667654,
690
+ "eval_runtime": 258.4278,
691
+ "eval_samples_per_second": 10.997,
692
+ "eval_steps_per_second": 3.668,
693
+ "step": 9500
694
+ },
695
+ {
696
+ "epoch": 1.6666666666666665,
697
+ "grad_norm": 27.558940887451172,
698
+ "learning_rate": 5e-05,
699
+ "loss": 1.9695,
700
+ "step": 10000
701
+ },
702
+ {
703
+ "epoch": 1.6666666666666665,
704
+ "eval_accuracy_background": 0.6535160468633152,
705
+ "eval_accuracy_double_plant": 0.27480931114887563,
706
+ "eval_accuracy_drydown": 0.8507298791874478,
707
+ "eval_accuracy_endrow": 0.3002457236689853,
708
+ "eval_accuracy_nutrient_deficiency": 0.5805433393846879,
709
+ "eval_accuracy_planter_skip": 0.5759424736901442,
710
+ "eval_accuracy_water": 0.9136638372037981,
711
+ "eval_accuracy_waterway": 0.300740548651248,
712
+ "eval_accuracy_weed_cluster": 0.2748341582674426,
713
+ "eval_iou_background": 0.5715406090850156,
714
+ "eval_iou_double_plant": 0.1830877307497648,
715
+ "eval_iou_drydown": 0.44761615381963227,
716
+ "eval_iou_endrow": 0.1607454389243595,
717
+ "eval_iou_nutrient_deficiency": 0.3589882634051457,
718
+ "eval_iou_planter_skip": 0.3142600611891689,
719
+ "eval_iou_water": 0.381127146789507,
720
+ "eval_iou_waterway": 0.11509687922710479,
721
+ "eval_iou_weed_cluster": 0.191443588646255,
722
+ "eval_loss": 1.9981021881103516,
723
+ "eval_mean_accuracy": 0.5250028131184383,
724
+ "eval_mean_iou": 0.3026562079817726,
725
+ "eval_overall_accuracy": 0.6541074851018032,
726
+ "eval_runtime": 262.1608,
727
+ "eval_samples_per_second": 10.841,
728
+ "eval_steps_per_second": 3.616,
729
+ "step": 10000
730
+ },
731
+ {
732
+ "epoch": 1.75,
733
+ "grad_norm": 7.4598588943481445,
734
+ "learning_rate": 5.25e-05,
735
+ "loss": 1.9823,
736
+ "step": 10500
737
+ },
738
+ {
739
+ "epoch": 1.75,
740
+ "eval_accuracy_background": 0.6656899643375446,
741
+ "eval_accuracy_double_plant": 0.3934759106723288,
742
+ "eval_accuracy_drydown": 0.6984513863750703,
743
+ "eval_accuracy_endrow": 0.5897825722024841,
744
+ "eval_accuracy_nutrient_deficiency": 0.672282770766344,
745
+ "eval_accuracy_planter_skip": 0.5736107366759635,
746
+ "eval_accuracy_water": 0.9725679178509335,
747
+ "eval_accuracy_waterway": 0.3880805850347442,
748
+ "eval_accuracy_weed_cluster": 0.2804900072264515,
749
+ "eval_iou_background": 0.5767367514980629,
750
+ "eval_iou_double_plant": 0.20286343375264382,
751
+ "eval_iou_drydown": 0.46795251362795115,
752
+ "eval_iou_endrow": 0.13363987546509035,
753
+ "eval_iou_nutrient_deficiency": 0.3626840890315017,
754
+ "eval_iou_planter_skip": 0.30331216870602024,
755
+ "eval_iou_water": 0.30117376418991876,
756
+ "eval_iou_waterway": 0.2072977234811509,
757
+ "eval_iou_weed_cluster": 0.2100599157730429,
758
+ "eval_loss": 1.87357759475708,
759
+ "eval_mean_accuracy": 0.5816035390157627,
760
+ "eval_mean_iou": 0.30730224839170917,
761
+ "eval_overall_accuracy": 0.6533269610793297,
762
+ "eval_runtime": 262.5666,
763
+ "eval_samples_per_second": 10.824,
764
+ "eval_steps_per_second": 3.611,
765
+ "step": 10500
766
+ },
767
+ {
768
+ "epoch": 1.8333333333333335,
769
+ "grad_norm": 9.449281692504883,
770
+ "learning_rate": 5.5e-05,
771
+ "loss": 1.8992,
772
+ "step": 11000
773
+ },
774
+ {
775
+ "epoch": 1.8333333333333335,
776
+ "eval_accuracy_background": 0.591561636780099,
777
+ "eval_accuracy_double_plant": 0.13478224563452249,
778
+ "eval_accuracy_drydown": 0.8104318370166057,
779
+ "eval_accuracy_endrow": 0.18974519899334122,
780
+ "eval_accuracy_nutrient_deficiency": 0.8002396916859228,
781
+ "eval_accuracy_planter_skip": 0.555837185249815,
782
+ "eval_accuracy_water": 0.9841123189100232,
783
+ "eval_accuracy_waterway": 0.6447291734607411,
784
+ "eval_accuracy_weed_cluster": 0.4545554666421275,
785
+ "eval_iou_background": 0.5351854519544275,
786
+ "eval_iou_double_plant": 0.12235773192803939,
787
+ "eval_iou_drydown": 0.48958264330531226,
788
+ "eval_iou_endrow": 0.13265128465179174,
789
+ "eval_iou_nutrient_deficiency": 0.3848348426109684,
790
+ "eval_iou_planter_skip": 0.3516838331732518,
791
+ "eval_iou_water": 0.33706546823750627,
792
+ "eval_iou_waterway": 0.0876245178196897,
793
+ "eval_iou_weed_cluster": 0.23276521867619226,
794
+ "eval_loss": 1.8864208459854126,
795
+ "eval_mean_accuracy": 0.5739994171525775,
796
+ "eval_mean_iou": 0.29708344359524214,
797
+ "eval_overall_accuracy": 0.6340729206003646,
798
+ "eval_runtime": 266.7514,
799
+ "eval_samples_per_second": 10.654,
800
+ "eval_steps_per_second": 3.554,
801
+ "step": 11000
802
+ },
803
+ {
804
+ "epoch": 1.9166666666666665,
805
+ "grad_norm": 179.62493896484375,
806
+ "learning_rate": 5.75e-05,
807
+ "loss": 1.9102,
808
+ "step": 11500
809
+ },
810
+ {
811
+ "epoch": 1.9166666666666665,
812
+ "eval_accuracy_background": 0.5262653554571423,
813
+ "eval_accuracy_double_plant": 0.12008314072155157,
814
+ "eval_accuracy_drydown": 0.8570712958580466,
815
+ "eval_accuracy_endrow": 0.3906394963666471,
816
+ "eval_accuracy_nutrient_deficiency": 0.848468676066121,
817
+ "eval_accuracy_planter_skip": 0.3694477258579194,
818
+ "eval_accuracy_water": 0.9433195760325397,
819
+ "eval_accuracy_waterway": 0.2684022825470543,
820
+ "eval_accuracy_weed_cluster": 0.5539906575032456,
821
+ "eval_iou_background": 0.48726462380145824,
822
+ "eval_iou_double_plant": 0.10638346834228546,
823
+ "eval_iou_drydown": 0.5237704902459679,
824
+ "eval_iou_endrow": 0.1661201420060771,
825
+ "eval_iou_nutrient_deficiency": 0.37603227109002707,
826
+ "eval_iou_planter_skip": 0.3088275424635105,
827
+ "eval_iou_water": 0.3755045365931884,
828
+ "eval_iou_waterway": 0.1621157246203886,
829
+ "eval_iou_weed_cluster": 0.18121117948664975,
830
+ "eval_loss": 2.0767364501953125,
831
+ "eval_mean_accuracy": 0.5419653562678075,
832
+ "eval_mean_iou": 0.2985811087388392,
833
+ "eval_overall_accuracy": 0.604590198595902,
834
+ "eval_runtime": 264.8767,
835
+ "eval_samples_per_second": 10.73,
836
+ "eval_steps_per_second": 3.579,
837
+ "step": 11500
838
+ },
839
+ {
840
+ "epoch": 2.0,
841
+ "grad_norm": 5.2313337326049805,
842
+ "learning_rate": 6e-05,
843
+ "loss": 1.9478,
844
+ "step": 12000
845
+ },
846
+ {
847
+ "epoch": 2.0,
848
+ "eval_accuracy_background": 0.5917584355396107,
849
+ "eval_accuracy_double_plant": 0.23022929832367192,
850
+ "eval_accuracy_drydown": 0.8591774260328934,
851
+ "eval_accuracy_endrow": 0.44466450809326863,
852
+ "eval_accuracy_nutrient_deficiency": 0.4915070798422274,
853
+ "eval_accuracy_planter_skip": 0.616599595119871,
854
+ "eval_accuracy_water": 0.9331229726538546,
855
+ "eval_accuracy_waterway": 0.6528746410873313,
856
+ "eval_accuracy_weed_cluster": 0.6726995315007896,
857
+ "eval_iou_background": 0.5297567240991148,
858
+ "eval_iou_double_plant": 0.1865127044756558,
859
+ "eval_iou_drydown": 0.48548291796169635,
860
+ "eval_iou_endrow": 0.1696600303497616,
861
+ "eval_iou_nutrient_deficiency": 0.3447111530279667,
862
+ "eval_iou_planter_skip": 0.2809826623294383,
863
+ "eval_iou_water": 0.34996397672243307,
864
+ "eval_iou_waterway": 0.06688915132136661,
865
+ "eval_iou_weed_cluster": 0.27669622818924317,
866
+ "eval_loss": 1.8301477432250977,
867
+ "eval_mean_accuracy": 0.6102926097992799,
868
+ "eval_mean_iou": 0.29896172760851963,
869
+ "eval_overall_accuracy": 0.6270241082274692,
870
+ "eval_runtime": 263.5983,
871
+ "eval_samples_per_second": 10.782,
872
+ "eval_steps_per_second": 3.596,
873
+ "step": 12000
874
+ },
875
+ {
876
+ "epoch": 2.0833333333333335,
877
+ "grad_norm": 24.462024688720703,
878
+ "learning_rate": 5.999682695781323e-05,
879
+ "loss": 1.9239,
880
+ "step": 12500
881
+ },
882
+ {
883
+ "epoch": 2.0833333333333335,
884
+ "eval_accuracy_background": 0.7518201291388158,
885
+ "eval_accuracy_double_plant": 0.23938112017827798,
886
+ "eval_accuracy_drydown": 0.7562345973159798,
887
+ "eval_accuracy_endrow": 0.2983546116536712,
888
+ "eval_accuracy_nutrient_deficiency": 0.48790565425147486,
889
+ "eval_accuracy_planter_skip": 0.6943331487027661,
890
+ "eval_accuracy_water": 0.9779127526764066,
891
+ "eval_accuracy_waterway": 0.5641306051386559,
892
+ "eval_accuracy_weed_cluster": 0.3079581583540586,
893
+ "eval_iou_background": 0.6365747880470238,
894
+ "eval_iou_double_plant": 0.1964527495585162,
895
+ "eval_iou_drydown": 0.519540905379824,
896
+ "eval_iou_endrow": 0.20298551726617572,
897
+ "eval_iou_nutrient_deficiency": 0.35134456727900654,
898
+ "eval_iou_planter_skip": 0.23709257653367372,
899
+ "eval_iou_water": 0.34692142879031984,
900
+ "eval_iou_waterway": 0.09302081664144977,
901
+ "eval_iou_weed_cluster": 0.23107629770672056,
902
+ "eval_loss": 1.7629526853561401,
903
+ "eval_mean_accuracy": 0.5642256419344563,
904
+ "eval_mean_iou": 0.31277884968919,
905
+ "eval_overall_accuracy": 0.702497874611006,
906
+ "eval_runtime": 263.8984,
907
+ "eval_samples_per_second": 10.769,
908
+ "eval_steps_per_second": 3.592,
909
+ "step": 12500
910
+ },
911
+ {
912
+ "epoch": 2.1666666666666665,
913
+ "grad_norm": 9.25463581085205,
914
+ "learning_rate": 5.9987308502466025e-05,
915
+ "loss": 1.8818,
916
+ "step": 13000
917
+ },
918
+ {
919
+ "epoch": 2.1666666666666665,
920
+ "eval_accuracy_background": 0.5441499534456246,
921
+ "eval_accuracy_double_plant": 0.2116641466713752,
922
+ "eval_accuracy_drydown": 0.8728512762186295,
923
+ "eval_accuracy_endrow": 0.4371043776393534,
924
+ "eval_accuracy_nutrient_deficiency": 0.8326172008720347,
925
+ "eval_accuracy_planter_skip": 0.7083819009759278,
926
+ "eval_accuracy_water": 0.5737561086150739,
927
+ "eval_accuracy_waterway": 0.6127218251645093,
928
+ "eval_accuracy_weed_cluster": 0.642739184595689,
929
+ "eval_iou_background": 0.500151037453148,
930
+ "eval_iou_double_plant": 0.182685479561711,
931
+ "eval_iou_drydown": 0.5075964484503707,
932
+ "eval_iou_endrow": 0.18902879951889517,
933
+ "eval_iou_nutrient_deficiency": 0.3654852998198875,
934
+ "eval_iou_planter_skip": 0.2613228913418688,
935
+ "eval_iou_water": 0.31223581100237113,
936
+ "eval_iou_waterway": 0.11653562947133343,
937
+ "eval_iou_weed_cluster": 0.2881451846198149,
938
+ "eval_loss": 1.8171876668930054,
939
+ "eval_mean_accuracy": 0.6039984415775796,
940
+ "eval_mean_iou": 0.3025762868043779,
941
+ "eval_overall_accuracy": 0.619215855252279,
942
+ "eval_runtime": 261.2033,
943
+ "eval_samples_per_second": 10.88,
944
+ "eval_steps_per_second": 3.629,
945
+ "step": 13000
946
+ },
947
+ {
948
+ "epoch": 2.25,
949
+ "grad_norm": 33.19343185424805,
950
+ "learning_rate": 5.997144664745574e-05,
951
+ "loss": 1.8428,
952
+ "step": 13500
953
+ },
954
+ {
955
+ "epoch": 2.25,
956
+ "eval_accuracy_background": 0.5224994756254154,
957
+ "eval_accuracy_double_plant": 0.32855421325789497,
958
+ "eval_accuracy_drydown": 0.8713013939493285,
959
+ "eval_accuracy_endrow": 0.6149733931765224,
960
+ "eval_accuracy_nutrient_deficiency": 0.48224066016639294,
961
+ "eval_accuracy_planter_skip": 0.8220218517628951,
962
+ "eval_accuracy_water": 0.9818766275265413,
963
+ "eval_accuracy_waterway": 0.40639981070453624,
964
+ "eval_accuracy_weed_cluster": 0.6408032432507383,
965
+ "eval_iou_background": 0.4704957321545481,
966
+ "eval_iou_double_plant": 0.2344391574256284,
967
+ "eval_iou_drydown": 0.4682544426312368,
968
+ "eval_iou_endrow": 0.15771475302621904,
969
+ "eval_iou_nutrient_deficiency": 0.31844845239679465,
970
+ "eval_iou_planter_skip": 0.058467534649025876,
971
+ "eval_iou_water": 0.32874416592814887,
972
+ "eval_iou_waterway": 0.16472901790857097,
973
+ "eval_iou_weed_cluster": 0.26451609064123444,
974
+ "eval_loss": 1.9546446800231934,
975
+ "eval_mean_accuracy": 0.630074518824474,
976
+ "eval_mean_iou": 0.273978816306823,
977
+ "eval_overall_accuracy": 0.5823579580467528,
978
+ "eval_runtime": 261.6102,
979
+ "eval_samples_per_second": 10.863,
980
+ "eval_steps_per_second": 3.624,
981
+ "step": 13500
982
+ },
983
+ {
984
+ "epoch": 2.3333333333333335,
985
+ "grad_norm": 6.926938533782959,
986
+ "learning_rate": 5.994924474813805e-05,
987
+ "loss": 1.8566,
988
+ "step": 14000
989
+ },
990
+ {
991
+ "epoch": 2.3333333333333335,
992
+ "eval_accuracy_background": 0.7282277806850685,
993
+ "eval_accuracy_double_plant": 0.3072066553373118,
994
+ "eval_accuracy_drydown": 0.780511155370475,
995
+ "eval_accuracy_endrow": 0.5104928220641479,
996
+ "eval_accuracy_nutrient_deficiency": 0.14886161159398745,
997
+ "eval_accuracy_planter_skip": 0.5457970403556671,
998
+ "eval_accuracy_water": 0.9494270544955458,
999
+ "eval_accuracy_waterway": 0.7617369954321992,
1000
+ "eval_accuracy_weed_cluster": 0.36627990699833923,
1001
+ "eval_iou_background": 0.6039616678329114,
1002
+ "eval_iou_double_plant": 0.22273684375932998,
1003
+ "eval_iou_drydown": 0.46879955442572285,
1004
+ "eval_iou_endrow": 0.2011960770046467,
1005
+ "eval_iou_nutrient_deficiency": 0.14210509479766023,
1006
+ "eval_iou_planter_skip": 0.2675600666085164,
1007
+ "eval_iou_water": 0.359014385076792,
1008
+ "eval_iou_waterway": 0.10130173208187956,
1009
+ "eval_iou_weed_cluster": 0.23703751051767735,
1010
+ "eval_loss": 1.9124819040298462,
1011
+ "eval_mean_accuracy": 0.5665045580369713,
1012
+ "eval_mean_iou": 0.2893014369005707,
1013
+ "eval_overall_accuracy": 0.6652159991293414,
1014
+ "eval_runtime": 260.8975,
1015
+ "eval_samples_per_second": 10.893,
1016
+ "eval_steps_per_second": 3.634,
1017
+ "step": 14000
1018
+ },
1019
+ {
1020
+ "epoch": 2.4166666666666665,
1021
+ "grad_norm": 20.287513732910156,
1022
+ "learning_rate": 5.992070750101717e-05,
1023
+ "loss": 1.907,
1024
+ "step": 14500
1025
+ },
1026
+ {
1027
+ "epoch": 2.4166666666666665,
1028
+ "eval_accuracy_background": 0.6640835972018951,
1029
+ "eval_accuracy_double_plant": 0.2685248338524184,
1030
+ "eval_accuracy_drydown": 0.664520203963917,
1031
+ "eval_accuracy_endrow": 0.6533557135070647,
1032
+ "eval_accuracy_nutrient_deficiency": 0.46429217360038194,
1033
+ "eval_accuracy_planter_skip": 0.7285136585772336,
1034
+ "eval_accuracy_water": 0.9951454679222101,
1035
+ "eval_accuracy_waterway": 0.5568394991877671,
1036
+ "eval_accuracy_weed_cluster": 0.7040040759617608,
1037
+ "eval_iou_background": 0.574017603290049,
1038
+ "eval_iou_double_plant": 0.19624472755168912,
1039
+ "eval_iou_drydown": 0.4617889168377397,
1040
+ "eval_iou_endrow": 0.17058878621786863,
1041
+ "eval_iou_nutrient_deficiency": 0.3390494932715687,
1042
+ "eval_iou_planter_skip": 0.24128981165488586,
1043
+ "eval_iou_water": 0.3532478854529224,
1044
+ "eval_iou_waterway": 0.08008050894572094,
1045
+ "eval_iou_weed_cluster": 0.3000114677939352,
1046
+ "eval_loss": 1.809478521347046,
1047
+ "eval_mean_accuracy": 0.633253247086072,
1048
+ "eval_mean_iou": 0.3018132445573755,
1049
+ "eval_overall_accuracy": 0.6500638125628474,
1050
+ "eval_runtime": 257.822,
1051
+ "eval_samples_per_second": 11.023,
1052
+ "eval_steps_per_second": 3.677,
1053
+ "step": 14500
1054
+ },
1055
+ {
1056
+ "epoch": 2.5,
1057
+ "grad_norm": 43.58359909057617,
1058
+ "learning_rate": 5.988584094275237e-05,
1059
+ "loss": 1.7594,
1060
+ "step": 15000
1061
+ },
1062
+ {
1063
+ "epoch": 2.5,
1064
+ "eval_accuracy_background": 0.7912989475773142,
1065
+ "eval_accuracy_double_plant": 0.27052654090487804,
1066
+ "eval_accuracy_drydown": 0.5389095986585866,
1067
+ "eval_accuracy_endrow": 0.5419243126887227,
1068
+ "eval_accuracy_nutrient_deficiency": 0.3320438433465802,
1069
+ "eval_accuracy_planter_skip": 0.5261892741077687,
1070
+ "eval_accuracy_water": 0.7593435434571817,
1071
+ "eval_accuracy_waterway": 0.4944894326767802,
1072
+ "eval_accuracy_weed_cluster": 0.35052043369948355,
1073
+ "eval_iou_background": 0.6370035557718967,
1074
+ "eval_iou_double_plant": 0.19917866620610714,
1075
+ "eval_iou_drydown": 0.39859413032319746,
1076
+ "eval_iou_endrow": 0.20650430441878384,
1077
+ "eval_iou_nutrient_deficiency": 0.2762395701726179,
1078
+ "eval_iou_planter_skip": 0.3289300681494428,
1079
+ "eval_iou_water": 0.3535911164164195,
1080
+ "eval_iou_waterway": 0.07446424690313298,
1081
+ "eval_iou_weed_cluster": 0.22638571527762436,
1082
+ "eval_loss": 1.8663573265075684,
1083
+ "eval_mean_accuracy": 0.5116939919019218,
1084
+ "eval_mean_iou": 0.3000990415154692,
1085
+ "eval_overall_accuracy": 0.6840890987494962,
1086
+ "eval_runtime": 261.3823,
1087
+ "eval_samples_per_second": 10.873,
1088
+ "eval_steps_per_second": 3.627,
1089
+ "step": 15000
1090
+ },
1091
+ {
1092
+ "epoch": 2.5833333333333335,
1093
+ "grad_norm": 6.9639739990234375,
1094
+ "learning_rate": 5.984465244888099e-05,
1095
+ "loss": 1.8029,
1096
+ "step": 15500
1097
+ },
1098
+ {
1099
+ "epoch": 2.5833333333333335,
1100
+ "eval_accuracy_background": 0.7383259818568918,
1101
+ "eval_accuracy_double_plant": 0.31968493472022314,
1102
+ "eval_accuracy_drydown": 0.8010515106219882,
1103
+ "eval_accuracy_endrow": 0.5503072063975197,
1104
+ "eval_accuracy_nutrient_deficiency": 0.271781174143197,
1105
+ "eval_accuracy_planter_skip": 0.5614432555107323,
1106
+ "eval_accuracy_water": 0.8842623426362188,
1107
+ "eval_accuracy_waterway": 0.5025196466077214,
1108
+ "eval_accuracy_weed_cluster": 0.43664720748394176,
1109
+ "eval_iou_background": 0.6222560856540927,
1110
+ "eval_iou_double_plant": 0.24395914809866168,
1111
+ "eval_iou_drydown": 0.5035375997986632,
1112
+ "eval_iou_endrow": 0.19197007582859354,
1113
+ "eval_iou_nutrient_deficiency": 0.24140712485245333,
1114
+ "eval_iou_planter_skip": 0.3973403934252894,
1115
+ "eval_iou_water": 0.41792995918645254,
1116
+ "eval_iou_waterway": 0.09318163769538705,
1117
+ "eval_iou_weed_cluster": 0.24924493235963527,
1118
+ "eval_loss": 1.7275722026824951,
1119
+ "eval_mean_accuracy": 0.5628914733309371,
1120
+ "eval_mean_iou": 0.3289807729888032,
1121
+ "eval_overall_accuracy": 0.6877666710692293,
1122
+ "eval_runtime": 260.8904,
1123
+ "eval_samples_per_second": 10.893,
1124
+ "eval_steps_per_second": 3.634,
1125
+ "step": 15500
1126
+ },
1127
+ {
1128
+ "epoch": 2.6666666666666665,
1129
+ "grad_norm": 17.568410873413086,
1130
+ "learning_rate": 5.979715073225829e-05,
1131
+ "loss": 1.8722,
1132
+ "step": 16000
1133
+ },
1134
+ {
1135
+ "epoch": 2.6666666666666665,
1136
+ "eval_accuracy_background": 0.5753890165786146,
1137
+ "eval_accuracy_double_plant": 0.43281763733230666,
1138
+ "eval_accuracy_drydown": 0.8327222295126094,
1139
+ "eval_accuracy_endrow": 0.4880155309517181,
1140
+ "eval_accuracy_nutrient_deficiency": 0.9118230661676807,
1141
+ "eval_accuracy_planter_skip": 0.7373122037537192,
1142
+ "eval_accuracy_water": 0.9359968599229119,
1143
+ "eval_accuracy_waterway": 0.522221480058273,
1144
+ "eval_accuracy_weed_cluster": 0.34890832509753233,
1145
+ "eval_iou_background": 0.5247963819931862,
1146
+ "eval_iou_double_plant": 0.23291828149087293,
1147
+ "eval_iou_drydown": 0.5148142232549464,
1148
+ "eval_iou_endrow": 0.18510153917585362,
1149
+ "eval_iou_nutrient_deficiency": 0.36047570415196584,
1150
+ "eval_iou_planter_skip": 0.33996386551317165,
1151
+ "eval_iou_water": 0.3653052427718038,
1152
+ "eval_iou_waterway": 0.1771180165388131,
1153
+ "eval_iou_weed_cluster": 0.25455618499715205,
1154
+ "eval_loss": 1.7630696296691895,
1155
+ "eval_mean_accuracy": 0.6428007054861519,
1156
+ "eval_mean_iou": 0.3283388266541961,
1157
+ "eval_overall_accuracy": 0.6356698183341807,
1158
+ "eval_runtime": 259.8107,
1159
+ "eval_samples_per_second": 10.939,
1160
+ "eval_steps_per_second": 3.649,
1161
+ "step": 16000
1162
+ },
1163
+ {
1164
+ "epoch": 2.75,
1165
+ "grad_norm": 7.738701820373535,
1166
+ "learning_rate": 5.9743345841214316e-05,
1167
+ "loss": 1.7702,
1168
+ "step": 16500
1169
+ },
1170
+ {
1171
+ "epoch": 2.75,
1172
+ "eval_accuracy_background": 0.6249112438432373,
1173
+ "eval_accuracy_double_plant": 0.3037017158490706,
1174
+ "eval_accuracy_drydown": 0.8401976237037325,
1175
+ "eval_accuracy_endrow": 0.5409312630003157,
1176
+ "eval_accuracy_nutrient_deficiency": 0.7247938397022706,
1177
+ "eval_accuracy_planter_skip": 0.7569072255907769,
1178
+ "eval_accuracy_water": 0.9859600471011564,
1179
+ "eval_accuracy_waterway": 0.6394515146474786,
1180
+ "eval_accuracy_weed_cluster": 0.3190581723390641,
1181
+ "eval_iou_background": 0.557374200130775,
1182
+ "eval_iou_double_plant": 0.21721179749335406,
1183
+ "eval_iou_drydown": 0.5139009198909805,
1184
+ "eval_iou_endrow": 0.1872530780000752,
1185
+ "eval_iou_nutrient_deficiency": 0.3754816457154501,
1186
+ "eval_iou_planter_skip": 0.17456552608561812,
1187
+ "eval_iou_water": 0.34012998855281723,
1188
+ "eval_iou_waterway": 0.145401411480494,
1189
+ "eval_iou_weed_cluster": 0.22891265377397998,
1190
+ "eval_loss": 1.825339436531067,
1191
+ "eval_mean_accuracy": 0.637323627308567,
1192
+ "eval_mean_iou": 0.3044701356803938,
1193
+ "eval_overall_accuracy": 0.6530736523458281,
1194
+ "eval_runtime": 263.4887,
1195
+ "eval_samples_per_second": 10.786,
1196
+ "eval_steps_per_second": 3.598,
1197
+ "step": 16500
1198
+ },
1199
+ {
1200
+ "epoch": 2.8333333333333335,
1201
+ "grad_norm": 21.577695846557617,
1202
+ "learning_rate": 5.968324915742833e-05,
1203
+ "loss": 1.7141,
1204
+ "step": 17000
1205
+ },
1206
+ {
1207
+ "epoch": 2.8333333333333335,
1208
+ "eval_accuracy_background": 0.6951098923787636,
1209
+ "eval_accuracy_double_plant": 0.3679010394024424,
1210
+ "eval_accuracy_drydown": 0.5595175681421235,
1211
+ "eval_accuracy_endrow": 0.5101733191209213,
1212
+ "eval_accuracy_nutrient_deficiency": 0.5951841890585043,
1213
+ "eval_accuracy_planter_skip": 0.6852733431040483,
1214
+ "eval_accuracy_water": 0.8829525211322713,
1215
+ "eval_accuracy_waterway": 0.6598400680346058,
1216
+ "eval_accuracy_weed_cluster": 0.6674512603928916,
1217
+ "eval_iou_background": 0.5909968389686824,
1218
+ "eval_iou_double_plant": 0.2488078168930902,
1219
+ "eval_iou_drydown": 0.41068029569173087,
1220
+ "eval_iou_endrow": 0.20390464724933927,
1221
+ "eval_iou_nutrient_deficiency": 0.37108133267408255,
1222
+ "eval_iou_planter_skip": 0.24823346463236035,
1223
+ "eval_iou_water": 0.4101956388500591,
1224
+ "eval_iou_waterway": 0.07179385138359402,
1225
+ "eval_iou_weed_cluster": 0.35296621847651527,
1226
+ "eval_loss": 1.7230159044265747,
1227
+ "eval_mean_accuracy": 0.6248225778629526,
1228
+ "eval_mean_iou": 0.32318445609105045,
1229
+ "eval_overall_accuracy": 0.6636765565591051,
1230
+ "eval_runtime": 260.8244,
1231
+ "eval_samples_per_second": 10.896,
1232
+ "eval_steps_per_second": 3.635,
1233
+ "step": 17000
1234
+ },
1235
+ {
1236
+ "epoch": 2.9166666666666665,
1237
+ "grad_norm": 17.960819244384766,
1238
+ "learning_rate": 5.961687339352122e-05,
1239
+ "loss": 1.7671,
1240
+ "step": 17500
1241
+ },
1242
+ {
1243
+ "epoch": 2.9166666666666665,
1244
+ "eval_accuracy_background": 0.6594482038517225,
1245
+ "eval_accuracy_double_plant": 0.2822006953147211,
1246
+ "eval_accuracy_drydown": 0.8116912749409592,
1247
+ "eval_accuracy_endrow": 0.6615121918869049,
1248
+ "eval_accuracy_nutrient_deficiency": 0.6257767594506506,
1249
+ "eval_accuracy_planter_skip": 0.47130203763522555,
1250
+ "eval_accuracy_water": 0.9125912330837752,
1251
+ "eval_accuracy_waterway": 0.6094135202189471,
1252
+ "eval_accuracy_weed_cluster": 0.5068836982328407,
1253
+ "eval_iou_background": 0.5841824171604804,
1254
+ "eval_iou_double_plant": 0.18472375201025362,
1255
+ "eval_iou_drydown": 0.5123051864433352,
1256
+ "eval_iou_endrow": 0.16300892985195503,
1257
+ "eval_iou_nutrient_deficiency": 0.37243035358108384,
1258
+ "eval_iou_planter_skip": 0.36011387219003965,
1259
+ "eval_iou_water": 0.3992541932422173,
1260
+ "eval_iou_waterway": 0.1418466107384494,
1261
+ "eval_iou_weed_cluster": 0.2999283941326597,
1262
+ "eval_loss": 1.703563928604126,
1263
+ "eval_mean_accuracy": 0.6156466238461941,
1264
+ "eval_mean_iou": 0.3353104121500527,
1265
+ "eval_overall_accuracy": 0.6713262420323323,
1266
+ "eval_runtime": 260.9763,
1267
+ "eval_samples_per_second": 10.89,
1268
+ "eval_steps_per_second": 3.633,
1269
+ "step": 17500
1270
+ },
1271
+ {
1272
+ "epoch": 3.0,
1273
+ "grad_norm": 30.459733963012695,
1274
+ "learning_rate": 5.954423259036624e-05,
1275
+ "loss": 1.8024,
1276
+ "step": 18000
1277
+ },
1278
+ {
1279
+ "epoch": 3.0,
1280
+ "eval_accuracy_background": 0.6819270950237464,
1281
+ "eval_accuracy_double_plant": 0.4188442528171465,
1282
+ "eval_accuracy_drydown": 0.942489913650448,
1283
+ "eval_accuracy_endrow": 0.34702630839045817,
1284
+ "eval_accuracy_nutrient_deficiency": 0.33957744990645056,
1285
+ "eval_accuracy_planter_skip": 0.6651156065114135,
1286
+ "eval_accuracy_water": 0.9886169531178753,
1287
+ "eval_accuracy_waterway": 0.5371603672227221,
1288
+ "eval_accuracy_weed_cluster": 0.2612173319633179,
1289
+ "eval_iou_background": 0.5949864947154219,
1290
+ "eval_iou_double_plant": 0.28187670133086407,
1291
+ "eval_iou_drydown": 0.45373839979220926,
1292
+ "eval_iou_endrow": 0.2053583108628502,
1293
+ "eval_iou_nutrient_deficiency": 0.28322013242023253,
1294
+ "eval_iou_planter_skip": 0.2942564744018733,
1295
+ "eval_iou_water": 0.38674554695080143,
1296
+ "eval_iou_waterway": 0.15106500163782186,
1297
+ "eval_iou_weed_cluster": 0.21686221454950488,
1298
+ "eval_loss": 1.831691026687622,
1299
+ "eval_mean_accuracy": 0.5757750309559532,
1300
+ "eval_mean_iou": 0.3186788085179532,
1301
+ "eval_overall_accuracy": 0.6689403288695065,
1302
+ "eval_runtime": 260.2352,
1303
+ "eval_samples_per_second": 10.921,
1304
+ "eval_steps_per_second": 3.643,
1305
+ "step": 18000
1306
+ },
1307
+ {
1308
+ "epoch": 3.0833333333333335,
1309
+ "grad_norm": 13.988836288452148,
1310
+ "learning_rate": 5.946534211411892e-05,
1311
+ "loss": 1.6954,
1312
+ "step": 18500
1313
+ },
1314
+ {
1315
+ "epoch": 3.0833333333333335,
1316
+ "eval_accuracy_background": 0.6538386938046115,
1317
+ "eval_accuracy_double_plant": 0.4838800511988251,
1318
+ "eval_accuracy_drydown": 0.8553439939241462,
1319
+ "eval_accuracy_endrow": 0.5914666117697285,
1320
+ "eval_accuracy_nutrient_deficiency": 0.567245274435794,
1321
+ "eval_accuracy_planter_skip": 0.6922661032983516,
1322
+ "eval_accuracy_water": 0.9372810965380258,
1323
+ "eval_accuracy_waterway": 0.5534203062168455,
1324
+ "eval_accuracy_weed_cluster": 0.4549345797081327,
1325
+ "eval_iou_background": 0.5819964898346066,
1326
+ "eval_iou_double_plant": 0.1773696020322503,
1327
+ "eval_iou_drydown": 0.5119178854524079,
1328
+ "eval_iou_endrow": 0.17735603548202017,
1329
+ "eval_iou_nutrient_deficiency": 0.3712776454067214,
1330
+ "eval_iou_planter_skip": 0.2885887910260531,
1331
+ "eval_iou_water": 0.36722795859861646,
1332
+ "eval_iou_waterway": 0.1188973010287155,
1333
+ "eval_iou_weed_cluster": 0.2918531041678631,
1334
+ "eval_loss": 1.6599682569503784,
1335
+ "eval_mean_accuracy": 0.6432974123216068,
1336
+ "eval_mean_iou": 0.32072053478102824,
1337
+ "eval_overall_accuracy": 0.6683784538260178,
1338
+ "eval_runtime": 261.2485,
1339
+ "eval_samples_per_second": 10.879,
1340
+ "eval_steps_per_second": 3.629,
1341
+ "step": 18500
1342
+ },
1343
+ {
1344
+ "epoch": 3.1666666666666665,
1345
+ "grad_norm": 1.7557730674743652,
1346
+ "learning_rate": 5.938021865296655e-05,
1347
+ "loss": 1.7034,
1348
+ "step": 19000
1349
+ },
1350
+ {
1351
+ "epoch": 3.1666666666666665,
1352
+ "eval_accuracy_background": 0.6509369442781607,
1353
+ "eval_accuracy_double_plant": 0.5690441526122747,
1354
+ "eval_accuracy_drydown": 0.8763627534637376,
1355
+ "eval_accuracy_endrow": 0.446746631057344,
1356
+ "eval_accuracy_nutrient_deficiency": 0.5315985078825212,
1357
+ "eval_accuracy_planter_skip": 0.5408448564048017,
1358
+ "eval_accuracy_water": 0.9178076977353095,
1359
+ "eval_accuracy_waterway": 0.6274223467311388,
1360
+ "eval_accuracy_weed_cluster": 0.2493975131978717,
1361
+ "eval_iou_background": 0.5768369886426594,
1362
+ "eval_iou_double_plant": 0.20325124906288622,
1363
+ "eval_iou_drydown": 0.43228338912070907,
1364
+ "eval_iou_endrow": 0.19837617815888994,
1365
+ "eval_iou_nutrient_deficiency": 0.3666980406383321,
1366
+ "eval_iou_planter_skip": 0.3664613911001052,
1367
+ "eval_iou_water": 0.4393434267420211,
1368
+ "eval_iou_waterway": 0.1312363192104926,
1369
+ "eval_iou_weed_cluster": 0.2079719808961211,
1370
+ "eval_loss": 1.8581488132476807,
1371
+ "eval_mean_accuracy": 0.6011290448181289,
1372
+ "eval_mean_iou": 0.32471766261913515,
1373
+ "eval_overall_accuracy": 0.6555593683359484,
1374
+ "eval_runtime": 260.7491,
1375
+ "eval_samples_per_second": 10.899,
1376
+ "eval_steps_per_second": 3.636,
1377
+ "step": 19000
1378
+ }
1379
+ ],
1380
+ "logging_steps": 500,
1381
+ "max_steps": 120000,
1382
+ "num_input_tokens_seen": 0,
1383
+ "num_train_epochs": 20,
1384
+ "save_steps": 500,
1385
+ "total_flos": 3.033987876598579e+19,
1386
+ "train_batch_size": 3,
1387
+ "trial_name": null,
1388
+ "trial_params": null
1389
+ }
checkpoint-19000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8a680a40140b6ca5fa47ac87d8120967d6766117ead261eaa84c073e1e9509b8
3
+ size 4539