Training in progress, step 80
Browse files- checkpoint-80/config.json +82 -0
- checkpoint-80/optimizer.pt +3 -0
- checkpoint-80/pytorch_model.bin +3 -0
- checkpoint-80/rng_state.pth +3 -0
- checkpoint-80/scheduler.pt +3 -0
- checkpoint-80/trainer_state.json +572 -0
- checkpoint-80/training_args.bin +3 -0
- config.json +82 -0
- pytorch_model.bin +3 -0
- runs/Feb29_21-23-49_robolidar/events.out.tfevents.1709263483.robolidar.58688.0 +3 -0
- training_args.bin +3 -0
checkpoint-80/config.json
ADDED
@@ -0,0 +1,82 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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": "unlabeled",
|
32 |
+
"1": "parking_lines",
|
33 |
+
"2": "X",
|
34 |
+
"3": "ELSE"
|
35 |
+
},
|
36 |
+
"image_size": 224,
|
37 |
+
"initializer_range": 0.02,
|
38 |
+
"label2id": {
|
39 |
+
"ELSE": 3,
|
40 |
+
"X": 2,
|
41 |
+
"parking_lines": 1,
|
42 |
+
"unlabeled": 0
|
43 |
+
},
|
44 |
+
"layer_norm_eps": 1e-06,
|
45 |
+
"mlp_ratios": [
|
46 |
+
4,
|
47 |
+
4,
|
48 |
+
4,
|
49 |
+
4
|
50 |
+
],
|
51 |
+
"model_type": "segformer",
|
52 |
+
"num_attention_heads": [
|
53 |
+
1,
|
54 |
+
2,
|
55 |
+
5,
|
56 |
+
8
|
57 |
+
],
|
58 |
+
"num_channels": 3,
|
59 |
+
"num_encoder_blocks": 4,
|
60 |
+
"patch_sizes": [
|
61 |
+
7,
|
62 |
+
3,
|
63 |
+
3,
|
64 |
+
3
|
65 |
+
],
|
66 |
+
"reshape_last_stage": true,
|
67 |
+
"semantic_loss_ignore_index": 255,
|
68 |
+
"sr_ratios": [
|
69 |
+
8,
|
70 |
+
4,
|
71 |
+
2,
|
72 |
+
1
|
73 |
+
],
|
74 |
+
"strides": [
|
75 |
+
4,
|
76 |
+
2,
|
77 |
+
2,
|
78 |
+
2
|
79 |
+
],
|
80 |
+
"torch_dtype": "float32",
|
81 |
+
"transformers_version": "4.30.2"
|
82 |
+
}
|
checkpoint-80/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9439789d6b050b0978c501c86a6a4ca24257495a4ce87f92cc2bbccd5722c12d
|
3 |
+
size 677461247
|
checkpoint-80/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1357a5b78cbbf2750aed9c4b587ba277a339d75f746b87d2a00b1d2551804485
|
3 |
+
size 338799561
|
checkpoint-80/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ddd58b5f14b614a00a1182f0039c51646ce15d966933d0387825065c5727df3c
|
3 |
+
size 14575
|
checkpoint-80/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0a616f4ee4fd3a1686f5b15d349d982c0c6bb0f8e01f720d06ec8f67e5f346a4
|
3 |
+
size 627
|
checkpoint-80/trainer_state.json
ADDED
@@ -0,0 +1,572 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.2323933243751526,
|
3 |
+
"best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/parking-terrain_marks/checkpoint-80",
|
4 |
+
"epoch": 20.0,
|
5 |
+
"global_step": 80,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.25,
|
12 |
+
"learning_rate": 4.1666666666666667e-07,
|
13 |
+
"loss": 1.3877,
|
14 |
+
"step": 1
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.5,
|
18 |
+
"learning_rate": 8.333333333333333e-07,
|
19 |
+
"loss": 1.3823,
|
20 |
+
"step": 2
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.75,
|
24 |
+
"learning_rate": 1.25e-06,
|
25 |
+
"loss": 1.3873,
|
26 |
+
"step": 3
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 1.0,
|
30 |
+
"learning_rate": 1.6666666666666667e-06,
|
31 |
+
"loss": 1.3876,
|
32 |
+
"step": 4
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 1.25,
|
36 |
+
"learning_rate": 2.0833333333333334e-06,
|
37 |
+
"loss": 1.3806,
|
38 |
+
"step": 5
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 1.5,
|
42 |
+
"learning_rate": 2.5e-06,
|
43 |
+
"loss": 1.3737,
|
44 |
+
"step": 6
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 1.75,
|
48 |
+
"learning_rate": 2.916666666666667e-06,
|
49 |
+
"loss": 1.377,
|
50 |
+
"step": 7
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 2.0,
|
54 |
+
"learning_rate": 3.3333333333333333e-06,
|
55 |
+
"loss": 1.3705,
|
56 |
+
"step": 8
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 2.25,
|
60 |
+
"learning_rate": 3.75e-06,
|
61 |
+
"loss": 1.3748,
|
62 |
+
"step": 9
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 2.5,
|
66 |
+
"learning_rate": 4.166666666666667e-06,
|
67 |
+
"loss": 1.3616,
|
68 |
+
"step": 10
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 2.75,
|
72 |
+
"learning_rate": 4.583333333333333e-06,
|
73 |
+
"loss": 1.3618,
|
74 |
+
"step": 11
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 3.0,
|
78 |
+
"learning_rate": 5e-06,
|
79 |
+
"loss": 1.3614,
|
80 |
+
"step": 12
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 3.25,
|
84 |
+
"learning_rate": 5.416666666666667e-06,
|
85 |
+
"loss": 1.3551,
|
86 |
+
"step": 13
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 3.5,
|
90 |
+
"learning_rate": 5.833333333333334e-06,
|
91 |
+
"loss": 1.3427,
|
92 |
+
"step": 14
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 3.75,
|
96 |
+
"learning_rate": 6.25e-06,
|
97 |
+
"loss": 1.3412,
|
98 |
+
"step": 15
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 4.0,
|
102 |
+
"learning_rate": 6.666666666666667e-06,
|
103 |
+
"loss": 1.3358,
|
104 |
+
"step": 16
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 4.25,
|
108 |
+
"learning_rate": 7.083333333333334e-06,
|
109 |
+
"loss": 1.3332,
|
110 |
+
"step": 17
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 4.5,
|
114 |
+
"learning_rate": 7.5e-06,
|
115 |
+
"loss": 1.3212,
|
116 |
+
"step": 18
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 4.75,
|
120 |
+
"learning_rate": 7.916666666666667e-06,
|
121 |
+
"loss": 1.3119,
|
122 |
+
"step": 19
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 5.0,
|
126 |
+
"learning_rate": 8.333333333333334e-06,
|
127 |
+
"loss": 1.2973,
|
128 |
+
"step": 20
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 5.0,
|
132 |
+
"eval_accuracy_ELSE": 0.5889188636354865,
|
133 |
+
"eval_accuracy_X": NaN,
|
134 |
+
"eval_accuracy_parking_lines": 0.5363845900559763,
|
135 |
+
"eval_accuracy_unlabeled": NaN,
|
136 |
+
"eval_iou_ELSE": 0.5860081261472999,
|
137 |
+
"eval_iou_X": 0.0,
|
138 |
+
"eval_iou_parking_lines": 0.018632687842428542,
|
139 |
+
"eval_iou_unlabeled": 0.0,
|
140 |
+
"eval_loss": 1.2461152076721191,
|
141 |
+
"eval_mean_accuracy": 0.5626517268457314,
|
142 |
+
"eval_mean_iou": 0.15116020349743212,
|
143 |
+
"eval_overall_accuracy": 0.5883102416992188,
|
144 |
+
"eval_runtime": 4.1247,
|
145 |
+
"eval_samples_per_second": 0.242,
|
146 |
+
"eval_steps_per_second": 0.242,
|
147 |
+
"step": 20
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 5.25,
|
151 |
+
"learning_rate": 8.75e-06,
|
152 |
+
"loss": 1.2899,
|
153 |
+
"step": 21
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 5.5,
|
157 |
+
"learning_rate": 9.166666666666666e-06,
|
158 |
+
"loss": 1.2802,
|
159 |
+
"step": 22
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 5.75,
|
163 |
+
"learning_rate": 9.583333333333334e-06,
|
164 |
+
"loss": 1.2736,
|
165 |
+
"step": 23
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 6.0,
|
169 |
+
"learning_rate": 1e-05,
|
170 |
+
"loss": 1.2591,
|
171 |
+
"step": 24
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 6.25,
|
175 |
+
"learning_rate": 1.0416666666666668e-05,
|
176 |
+
"loss": 1.2522,
|
177 |
+
"step": 25
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 6.5,
|
181 |
+
"learning_rate": 1.0833333333333334e-05,
|
182 |
+
"loss": 1.2316,
|
183 |
+
"step": 26
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 6.75,
|
187 |
+
"learning_rate": 1.125e-05,
|
188 |
+
"loss": 1.2124,
|
189 |
+
"step": 27
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 7.0,
|
193 |
+
"learning_rate": 1.1666666666666668e-05,
|
194 |
+
"loss": 1.2044,
|
195 |
+
"step": 28
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 7.25,
|
199 |
+
"learning_rate": 1.2083333333333333e-05,
|
200 |
+
"loss": 1.1899,
|
201 |
+
"step": 29
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 7.5,
|
205 |
+
"learning_rate": 1.25e-05,
|
206 |
+
"loss": 1.1795,
|
207 |
+
"step": 30
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 7.75,
|
211 |
+
"learning_rate": 1.2916666666666668e-05,
|
212 |
+
"loss": 1.1596,
|
213 |
+
"step": 31
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 8.0,
|
217 |
+
"learning_rate": 1.3333333333333333e-05,
|
218 |
+
"loss": 1.137,
|
219 |
+
"step": 32
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 8.25,
|
223 |
+
"learning_rate": 1.3750000000000002e-05,
|
224 |
+
"loss": 1.1364,
|
225 |
+
"step": 33
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 8.5,
|
229 |
+
"learning_rate": 1.4166666666666668e-05,
|
230 |
+
"loss": 1.1131,
|
231 |
+
"step": 34
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 8.75,
|
235 |
+
"learning_rate": 1.4583333333333335e-05,
|
236 |
+
"loss": 1.0946,
|
237 |
+
"step": 35
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 9.0,
|
241 |
+
"learning_rate": 1.5e-05,
|
242 |
+
"loss": 1.0673,
|
243 |
+
"step": 36
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 9.25,
|
247 |
+
"learning_rate": 1.5416666666666668e-05,
|
248 |
+
"loss": 1.0392,
|
249 |
+
"step": 37
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 9.5,
|
253 |
+
"learning_rate": 1.5833333333333333e-05,
|
254 |
+
"loss": 1.0243,
|
255 |
+
"step": 38
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 9.75,
|
259 |
+
"learning_rate": 1.6250000000000002e-05,
|
260 |
+
"loss": 1.0209,
|
261 |
+
"step": 39
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 10.0,
|
265 |
+
"learning_rate": 1.6666666666666667e-05,
|
266 |
+
"loss": 0.9991,
|
267 |
+
"step": 40
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 10.0,
|
271 |
+
"eval_accuracy_ELSE": 0.9076790669491754,
|
272 |
+
"eval_accuracy_X": NaN,
|
273 |
+
"eval_accuracy_parking_lines": 0.02107342772472835,
|
274 |
+
"eval_accuracy_unlabeled": NaN,
|
275 |
+
"eval_iou_ELSE": 0.898510416388094,
|
276 |
+
"eval_iou_X": 0.0,
|
277 |
+
"eval_iou_parking_lines": 0.0036949367819409966,
|
278 |
+
"eval_iou_unlabeled": 0.0,
|
279 |
+
"eval_loss": 0.8866344690322876,
|
280 |
+
"eval_mean_accuracy": 0.4643762473369519,
|
281 |
+
"eval_mean_iou": 0.22555133829250876,
|
282 |
+
"eval_overall_accuracy": 0.8974075317382812,
|
283 |
+
"eval_runtime": 3.5319,
|
284 |
+
"eval_samples_per_second": 0.283,
|
285 |
+
"eval_steps_per_second": 0.283,
|
286 |
+
"step": 40
|
287 |
+
},
|
288 |
+
{
|
289 |
+
"epoch": 10.25,
|
290 |
+
"learning_rate": 1.7083333333333333e-05,
|
291 |
+
"loss": 0.9779,
|
292 |
+
"step": 41
|
293 |
+
},
|
294 |
+
{
|
295 |
+
"epoch": 10.5,
|
296 |
+
"learning_rate": 1.75e-05,
|
297 |
+
"loss": 0.9295,
|
298 |
+
"step": 42
|
299 |
+
},
|
300 |
+
{
|
301 |
+
"epoch": 10.75,
|
302 |
+
"learning_rate": 1.7916666666666667e-05,
|
303 |
+
"loss": 0.9333,
|
304 |
+
"step": 43
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 11.0,
|
308 |
+
"learning_rate": 1.8333333333333333e-05,
|
309 |
+
"loss": 0.9126,
|
310 |
+
"step": 44
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 11.25,
|
314 |
+
"learning_rate": 1.8750000000000002e-05,
|
315 |
+
"loss": 0.904,
|
316 |
+
"step": 45
|
317 |
+
},
|
318 |
+
{
|
319 |
+
"epoch": 11.5,
|
320 |
+
"learning_rate": 1.9166666666666667e-05,
|
321 |
+
"loss": 0.8748,
|
322 |
+
"step": 46
|
323 |
+
},
|
324 |
+
{
|
325 |
+
"epoch": 11.75,
|
326 |
+
"learning_rate": 1.9583333333333333e-05,
|
327 |
+
"loss": 0.8054,
|
328 |
+
"step": 47
|
329 |
+
},
|
330 |
+
{
|
331 |
+
"epoch": 12.0,
|
332 |
+
"learning_rate": 2e-05,
|
333 |
+
"loss": 0.8352,
|
334 |
+
"step": 48
|
335 |
+
},
|
336 |
+
{
|
337 |
+
"epoch": 12.25,
|
338 |
+
"learning_rate": 2.0416666666666667e-05,
|
339 |
+
"loss": 0.8076,
|
340 |
+
"step": 49
|
341 |
+
},
|
342 |
+
{
|
343 |
+
"epoch": 12.5,
|
344 |
+
"learning_rate": 2.0833333333333336e-05,
|
345 |
+
"loss": 0.7925,
|
346 |
+
"step": 50
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 12.75,
|
350 |
+
"learning_rate": 2.125e-05,
|
351 |
+
"loss": 0.7602,
|
352 |
+
"step": 51
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 13.0,
|
356 |
+
"learning_rate": 2.1666666666666667e-05,
|
357 |
+
"loss": 0.7575,
|
358 |
+
"step": 52
|
359 |
+
},
|
360 |
+
{
|
361 |
+
"epoch": 13.25,
|
362 |
+
"learning_rate": 2.2083333333333333e-05,
|
363 |
+
"loss": 0.719,
|
364 |
+
"step": 53
|
365 |
+
},
|
366 |
+
{
|
367 |
+
"epoch": 13.5,
|
368 |
+
"learning_rate": 2.25e-05,
|
369 |
+
"loss": 0.7135,
|
370 |
+
"step": 54
|
371 |
+
},
|
372 |
+
{
|
373 |
+
"epoch": 13.75,
|
374 |
+
"learning_rate": 2.2916666666666667e-05,
|
375 |
+
"loss": 0.685,
|
376 |
+
"step": 55
|
377 |
+
},
|
378 |
+
{
|
379 |
+
"epoch": 14.0,
|
380 |
+
"learning_rate": 2.3333333333333336e-05,
|
381 |
+
"loss": 0.6714,
|
382 |
+
"step": 56
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 14.25,
|
386 |
+
"learning_rate": 2.375e-05,
|
387 |
+
"loss": 0.6521,
|
388 |
+
"step": 57
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 14.5,
|
392 |
+
"learning_rate": 2.4166666666666667e-05,
|
393 |
+
"loss": 0.6084,
|
394 |
+
"step": 58
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 14.75,
|
398 |
+
"learning_rate": 2.4583333333333332e-05,
|
399 |
+
"loss": 0.6435,
|
400 |
+
"step": 59
|
401 |
+
},
|
402 |
+
{
|
403 |
+
"epoch": 15.0,
|
404 |
+
"learning_rate": 2.5e-05,
|
405 |
+
"loss": 0.5964,
|
406 |
+
"step": 60
|
407 |
+
},
|
408 |
+
{
|
409 |
+
"epoch": 15.0,
|
410 |
+
"eval_accuracy_ELSE": 0.9984523768172994,
|
411 |
+
"eval_accuracy_X": NaN,
|
412 |
+
"eval_accuracy_parking_lines": 0.0,
|
413 |
+
"eval_accuracy_unlabeled": NaN,
|
414 |
+
"eval_iou_ELSE": 0.9868850708007812,
|
415 |
+
"eval_iou_X": 0.0,
|
416 |
+
"eval_iou_parking_lines": 0.0,
|
417 |
+
"eval_iou_unlabeled": NaN,
|
418 |
+
"eval_loss": 0.47952771186828613,
|
419 |
+
"eval_mean_accuracy": 0.4992261884086497,
|
420 |
+
"eval_mean_iou": 0.32896169026692706,
|
421 |
+
"eval_overall_accuracy": 0.9868850708007812,
|
422 |
+
"eval_runtime": 3.7831,
|
423 |
+
"eval_samples_per_second": 0.264,
|
424 |
+
"eval_steps_per_second": 0.264,
|
425 |
+
"step": 60
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 15.25,
|
429 |
+
"learning_rate": 2.5416666666666667e-05,
|
430 |
+
"loss": 0.5752,
|
431 |
+
"step": 61
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 15.5,
|
435 |
+
"learning_rate": 2.5833333333333336e-05,
|
436 |
+
"loss": 0.5272,
|
437 |
+
"step": 62
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 15.75,
|
441 |
+
"learning_rate": 2.625e-05,
|
442 |
+
"loss": 0.5521,
|
443 |
+
"step": 63
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 16.0,
|
447 |
+
"learning_rate": 2.6666666666666667e-05,
|
448 |
+
"loss": 0.5652,
|
449 |
+
"step": 64
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 16.25,
|
453 |
+
"learning_rate": 2.7083333333333332e-05,
|
454 |
+
"loss": 0.5207,
|
455 |
+
"step": 65
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 16.5,
|
459 |
+
"learning_rate": 2.7500000000000004e-05,
|
460 |
+
"loss": 0.4956,
|
461 |
+
"step": 66
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 16.75,
|
465 |
+
"learning_rate": 2.791666666666667e-05,
|
466 |
+
"loss": 0.4507,
|
467 |
+
"step": 67
|
468 |
+
},
|
469 |
+
{
|
470 |
+
"epoch": 17.0,
|
471 |
+
"learning_rate": 2.8333333333333335e-05,
|
472 |
+
"loss": 0.5182,
|
473 |
+
"step": 68
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 17.25,
|
477 |
+
"learning_rate": 2.8749999999999997e-05,
|
478 |
+
"loss": 0.4576,
|
479 |
+
"step": 69
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 17.5,
|
483 |
+
"learning_rate": 2.916666666666667e-05,
|
484 |
+
"loss": 0.3939,
|
485 |
+
"step": 70
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 17.75,
|
489 |
+
"learning_rate": 2.9583333333333335e-05,
|
490 |
+
"loss": 0.4508,
|
491 |
+
"step": 71
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 18.0,
|
495 |
+
"learning_rate": 3e-05,
|
496 |
+
"loss": 0.4708,
|
497 |
+
"step": 72
|
498 |
+
},
|
499 |
+
{
|
500 |
+
"epoch": 18.25,
|
501 |
+
"learning_rate": 3.0416666666666666e-05,
|
502 |
+
"loss": 0.3276,
|
503 |
+
"step": 73
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 18.5,
|
507 |
+
"learning_rate": 3.0833333333333335e-05,
|
508 |
+
"loss": 0.306,
|
509 |
+
"step": 74
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 18.75,
|
513 |
+
"learning_rate": 3.125e-05,
|
514 |
+
"loss": 0.41,
|
515 |
+
"step": 75
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 19.0,
|
519 |
+
"learning_rate": 3.1666666666666666e-05,
|
520 |
+
"loss": 0.42,
|
521 |
+
"step": 76
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 19.25,
|
525 |
+
"learning_rate": 3.208333333333334e-05,
|
526 |
+
"loss": 0.3604,
|
527 |
+
"step": 77
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 19.5,
|
531 |
+
"learning_rate": 3.2500000000000004e-05,
|
532 |
+
"loss": 0.256,
|
533 |
+
"step": 78
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 19.75,
|
537 |
+
"learning_rate": 3.291666666666667e-05,
|
538 |
+
"loss": 0.229,
|
539 |
+
"step": 79
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 20.0,
|
543 |
+
"learning_rate": 3.3333333333333335e-05,
|
544 |
+
"loss": 0.3788,
|
545 |
+
"step": 80
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 20.0,
|
549 |
+
"eval_accuracy_ELSE": 1.0,
|
550 |
+
"eval_accuracy_X": NaN,
|
551 |
+
"eval_accuracy_parking_lines": 0.0,
|
552 |
+
"eval_accuracy_unlabeled": NaN,
|
553 |
+
"eval_iou_ELSE": 0.9884147644042969,
|
554 |
+
"eval_iou_X": NaN,
|
555 |
+
"eval_iou_parking_lines": 0.0,
|
556 |
+
"eval_iou_unlabeled": NaN,
|
557 |
+
"eval_loss": 0.2323933243751526,
|
558 |
+
"eval_mean_accuracy": 0.5,
|
559 |
+
"eval_mean_iou": 0.49420738220214844,
|
560 |
+
"eval_overall_accuracy": 0.9884147644042969,
|
561 |
+
"eval_runtime": 3.5125,
|
562 |
+
"eval_samples_per_second": 0.285,
|
563 |
+
"eval_steps_per_second": 0.285,
|
564 |
+
"step": 80
|
565 |
+
}
|
566 |
+
],
|
567 |
+
"max_steps": 2400,
|
568 |
+
"num_train_epochs": 600,
|
569 |
+
"total_flos": 5.029617482072064e+17,
|
570 |
+
"trial_name": null,
|
571 |
+
"trial_params": null
|
572 |
+
}
|
checkpoint-80/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e11d12c0e0ddd223895e15021c74f414a73a38ba54790cf949c5c2a6b55c880c
|
3 |
+
size 4155
|
config.json
ADDED
@@ -0,0 +1,82 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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": "unlabeled",
|
32 |
+
"1": "parking_lines",
|
33 |
+
"2": "X",
|
34 |
+
"3": "ELSE"
|
35 |
+
},
|
36 |
+
"image_size": 224,
|
37 |
+
"initializer_range": 0.02,
|
38 |
+
"label2id": {
|
39 |
+
"ELSE": 3,
|
40 |
+
"X": 2,
|
41 |
+
"parking_lines": 1,
|
42 |
+
"unlabeled": 0
|
43 |
+
},
|
44 |
+
"layer_norm_eps": 1e-06,
|
45 |
+
"mlp_ratios": [
|
46 |
+
4,
|
47 |
+
4,
|
48 |
+
4,
|
49 |
+
4
|
50 |
+
],
|
51 |
+
"model_type": "segformer",
|
52 |
+
"num_attention_heads": [
|
53 |
+
1,
|
54 |
+
2,
|
55 |
+
5,
|
56 |
+
8
|
57 |
+
],
|
58 |
+
"num_channels": 3,
|
59 |
+
"num_encoder_blocks": 4,
|
60 |
+
"patch_sizes": [
|
61 |
+
7,
|
62 |
+
3,
|
63 |
+
3,
|
64 |
+
3
|
65 |
+
],
|
66 |
+
"reshape_last_stage": true,
|
67 |
+
"semantic_loss_ignore_index": 255,
|
68 |
+
"sr_ratios": [
|
69 |
+
8,
|
70 |
+
4,
|
71 |
+
2,
|
72 |
+
1
|
73 |
+
],
|
74 |
+
"strides": [
|
75 |
+
4,
|
76 |
+
2,
|
77 |
+
2,
|
78 |
+
2
|
79 |
+
],
|
80 |
+
"torch_dtype": "float32",
|
81 |
+
"transformers_version": "4.30.2"
|
82 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1357a5b78cbbf2750aed9c4b587ba277a339d75f746b87d2a00b1d2551804485
|
3 |
+
size 338799561
|
runs/Feb29_21-23-49_robolidar/events.out.tfevents.1709263483.robolidar.58688.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:86e8d9d9f645633650cd5ceaf6ac0a01661fbf610662aae269ddef9cf3d22d1b
|
3 |
+
size 20582
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e11d12c0e0ddd223895e15021c74f414a73a38ba54790cf949c5c2a6b55c880c
|
3 |
+
size 4155
|