Training in progress, step 120
Browse files- checkpoint-120/config.json +80 -0
- checkpoint-120/optimizer.pt +3 -0
- checkpoint-120/pytorch_model.bin +3 -0
- checkpoint-120/rng_state.pth +3 -0
- checkpoint-120/scheduler.pt +3 -0
- checkpoint-120/trainer_state.json +940 -0
- checkpoint-120/training_args.bin +3 -0
- pytorch_model.bin +1 -1
- runs/Feb12_07-24-20_robolidar/events.out.tfevents.1707744270.robolidar.4127615.0 +2 -2
checkpoint-120/config.json
ADDED
@@ -0,0 +1,80 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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": "dropoff",
|
33 |
+
"2": "undropoff"
|
34 |
+
},
|
35 |
+
"image_size": 224,
|
36 |
+
"initializer_range": 0.02,
|
37 |
+
"label2id": {
|
38 |
+
"dropoff": 1,
|
39 |
+
"undropoff": 2,
|
40 |
+
"unlabeled": 0
|
41 |
+
},
|
42 |
+
"layer_norm_eps": 1e-06,
|
43 |
+
"mlp_ratios": [
|
44 |
+
4,
|
45 |
+
4,
|
46 |
+
4,
|
47 |
+
4
|
48 |
+
],
|
49 |
+
"model_type": "segformer",
|
50 |
+
"num_attention_heads": [
|
51 |
+
1,
|
52 |
+
2,
|
53 |
+
5,
|
54 |
+
8
|
55 |
+
],
|
56 |
+
"num_channels": 6,
|
57 |
+
"num_encoder_blocks": 4,
|
58 |
+
"patch_sizes": [
|
59 |
+
7,
|
60 |
+
3,
|
61 |
+
3,
|
62 |
+
3
|
63 |
+
],
|
64 |
+
"reshape_last_stage": true,
|
65 |
+
"semantic_loss_ignore_index": 255,
|
66 |
+
"sr_ratios": [
|
67 |
+
8,
|
68 |
+
4,
|
69 |
+
2,
|
70 |
+
1
|
71 |
+
],
|
72 |
+
"strides": [
|
73 |
+
4,
|
74 |
+
2,
|
75 |
+
2,
|
76 |
+
2
|
77 |
+
],
|
78 |
+
"torch_dtype": "float32",
|
79 |
+
"transformers_version": "4.30.2"
|
80 |
+
}
|
checkpoint-120/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:32d013ded26dd9e75d4d91ab7487c6818d27ec7551167cd52c01ee4a9ab089bb
|
3 |
+
size 677530431
|
checkpoint-120/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:56a694bc04fbc8f29a1f42100b6281f5b886acc299181d2e3aa63dff912a2c01
|
3 |
+
size 338834121
|
checkpoint-120/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8cf2268b500c70d62bb9560f818c5739f01ae09edc2e0c44ab3d6cc516280c7a
|
3 |
+
size 14575
|
checkpoint-120/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:955855b376daa552d9e2c9ca180d1c6a2dd50b5fd07e46f8deda017706ee9714
|
3 |
+
size 627
|
checkpoint-120/trainer_state.json
ADDED
@@ -0,0 +1,940 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.31272849440574646,
|
3 |
+
"best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/dropoff-utcustom-train-SF-RGBD-b5_5/checkpoint-120",
|
4 |
+
"epoch": 60.0,
|
5 |
+
"global_step": 120,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.5,
|
12 |
+
"learning_rate": 7.5e-07,
|
13 |
+
"loss": 1.2301,
|
14 |
+
"step": 1
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 1.0,
|
18 |
+
"learning_rate": 1.5e-06,
|
19 |
+
"loss": 1.2312,
|
20 |
+
"step": 2
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 1.5,
|
24 |
+
"learning_rate": 2.25e-06,
|
25 |
+
"loss": 1.2262,
|
26 |
+
"step": 3
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 2.0,
|
30 |
+
"learning_rate": 3e-06,
|
31 |
+
"loss": 1.2197,
|
32 |
+
"step": 4
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 2.5,
|
36 |
+
"learning_rate": 3.75e-06,
|
37 |
+
"loss": 1.2077,
|
38 |
+
"step": 5
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 3.0,
|
42 |
+
"learning_rate": 4.5e-06,
|
43 |
+
"loss": 1.1967,
|
44 |
+
"step": 6
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 3.5,
|
48 |
+
"learning_rate": 5.2500000000000006e-06,
|
49 |
+
"loss": 1.1848,
|
50 |
+
"step": 7
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 4.0,
|
54 |
+
"learning_rate": 6e-06,
|
55 |
+
"loss": 1.1668,
|
56 |
+
"step": 8
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 4.5,
|
60 |
+
"learning_rate": 6.75e-06,
|
61 |
+
"loss": 1.1606,
|
62 |
+
"step": 9
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 5.0,
|
66 |
+
"learning_rate": 7.5e-06,
|
67 |
+
"loss": 1.1487,
|
68 |
+
"step": 10
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 5.0,
|
72 |
+
"eval_accuracy_dropoff": 0.5729856189362141,
|
73 |
+
"eval_accuracy_undropoff": 0.6823051671829305,
|
74 |
+
"eval_accuracy_unlabeled": NaN,
|
75 |
+
"eval_iou_dropoff": 0.09713754230539519,
|
76 |
+
"eval_iou_undropoff": 0.671356002033353,
|
77 |
+
"eval_iou_unlabeled": 0.0,
|
78 |
+
"eval_loss": 1.0250014066696167,
|
79 |
+
"eval_mean_accuracy": 0.6276453930595723,
|
80 |
+
"eval_mean_iou": 0.25616451477958274,
|
81 |
+
"eval_overall_accuracy": 0.6777597427368164,
|
82 |
+
"eval_runtime": 2.8634,
|
83 |
+
"eval_samples_per_second": 6.985,
|
84 |
+
"eval_steps_per_second": 0.698,
|
85 |
+
"step": 10
|
86 |
+
},
|
87 |
+
{
|
88 |
+
"epoch": 5.5,
|
89 |
+
"learning_rate": 8.25e-06,
|
90 |
+
"loss": 1.1397,
|
91 |
+
"step": 11
|
92 |
+
},
|
93 |
+
{
|
94 |
+
"epoch": 6.0,
|
95 |
+
"learning_rate": 9e-06,
|
96 |
+
"loss": 1.1186,
|
97 |
+
"step": 12
|
98 |
+
},
|
99 |
+
{
|
100 |
+
"epoch": 6.5,
|
101 |
+
"learning_rate": 8.960526315789474e-06,
|
102 |
+
"loss": 1.1081,
|
103 |
+
"step": 13
|
104 |
+
},
|
105 |
+
{
|
106 |
+
"epoch": 7.0,
|
107 |
+
"learning_rate": 8.921052631578947e-06,
|
108 |
+
"loss": 1.0962,
|
109 |
+
"step": 14
|
110 |
+
},
|
111 |
+
{
|
112 |
+
"epoch": 7.5,
|
113 |
+
"learning_rate": 8.881578947368421e-06,
|
114 |
+
"loss": 1.0719,
|
115 |
+
"step": 15
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 8.0,
|
119 |
+
"learning_rate": 8.842105263157895e-06,
|
120 |
+
"loss": 1.0773,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 8.5,
|
125 |
+
"learning_rate": 8.80263157894737e-06,
|
126 |
+
"loss": 1.0485,
|
127 |
+
"step": 17
|
128 |
+
},
|
129 |
+
{
|
130 |
+
"epoch": 9.0,
|
131 |
+
"learning_rate": 8.763157894736842e-06,
|
132 |
+
"loss": 1.0373,
|
133 |
+
"step": 18
|
134 |
+
},
|
135 |
+
{
|
136 |
+
"epoch": 9.5,
|
137 |
+
"learning_rate": 8.723684210526316e-06,
|
138 |
+
"loss": 1.0212,
|
139 |
+
"step": 19
|
140 |
+
},
|
141 |
+
{
|
142 |
+
"epoch": 10.0,
|
143 |
+
"learning_rate": 8.68421052631579e-06,
|
144 |
+
"loss": 1.0128,
|
145 |
+
"step": 20
|
146 |
+
},
|
147 |
+
{
|
148 |
+
"epoch": 10.0,
|
149 |
+
"eval_accuracy_dropoff": 0.5053189293332416,
|
150 |
+
"eval_accuracy_undropoff": 0.8407032200736932,
|
151 |
+
"eval_accuracy_unlabeled": NaN,
|
152 |
+
"eval_iou_dropoff": 0.11952306654022513,
|
153 |
+
"eval_iou_undropoff": 0.8230702761890567,
|
154 |
+
"eval_iou_unlabeled": 0.0,
|
155 |
+
"eval_loss": 0.9030143022537231,
|
156 |
+
"eval_mean_accuracy": 0.6730110747034674,
|
157 |
+
"eval_mean_iou": 0.31419778090976064,
|
158 |
+
"eval_overall_accuracy": 0.8267581939697266,
|
159 |
+
"eval_runtime": 2.9046,
|
160 |
+
"eval_samples_per_second": 6.886,
|
161 |
+
"eval_steps_per_second": 0.689,
|
162 |
+
"step": 20
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 10.5,
|
166 |
+
"learning_rate": 8.644736842105263e-06,
|
167 |
+
"loss": 0.9768,
|
168 |
+
"step": 21
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 11.0,
|
172 |
+
"learning_rate": 8.605263157894737e-06,
|
173 |
+
"loss": 0.992,
|
174 |
+
"step": 22
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 11.5,
|
178 |
+
"learning_rate": 8.56578947368421e-06,
|
179 |
+
"loss": 0.9632,
|
180 |
+
"step": 23
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 12.0,
|
184 |
+
"learning_rate": 8.526315789473683e-06,
|
185 |
+
"loss": 0.9467,
|
186 |
+
"step": 24
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 12.5,
|
190 |
+
"learning_rate": 8.486842105263159e-06,
|
191 |
+
"loss": 0.9267,
|
192 |
+
"step": 25
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 13.0,
|
196 |
+
"learning_rate": 8.447368421052632e-06,
|
197 |
+
"loss": 0.9105,
|
198 |
+
"step": 26
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 13.5,
|
202 |
+
"learning_rate": 8.407894736842106e-06,
|
203 |
+
"loss": 0.8971,
|
204 |
+
"step": 27
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 14.0,
|
208 |
+
"learning_rate": 8.36842105263158e-06,
|
209 |
+
"loss": 0.8905,
|
210 |
+
"step": 28
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 14.5,
|
214 |
+
"learning_rate": 8.328947368421052e-06,
|
215 |
+
"loss": 0.8751,
|
216 |
+
"step": 29
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"epoch": 15.0,
|
220 |
+
"learning_rate": 8.289473684210526e-06,
|
221 |
+
"loss": 0.8561,
|
222 |
+
"step": 30
|
223 |
+
},
|
224 |
+
{
|
225 |
+
"epoch": 15.0,
|
226 |
+
"eval_accuracy_dropoff": 0.4692355329250671,
|
227 |
+
"eval_accuracy_undropoff": 0.9133466736054656,
|
228 |
+
"eval_accuracy_unlabeled": NaN,
|
229 |
+
"eval_iou_dropoff": 0.1631859638151545,
|
230 |
+
"eval_iou_undropoff": 0.8928195277656624,
|
231 |
+
"eval_iou_unlabeled": 0.0,
|
232 |
+
"eval_loss": 0.7358734607696533,
|
233 |
+
"eval_mean_accuracy": 0.6912911032652663,
|
234 |
+
"eval_mean_iou": 0.35200183052693895,
|
235 |
+
"eval_overall_accuracy": 0.8948808670043945,
|
236 |
+
"eval_runtime": 9.5774,
|
237 |
+
"eval_samples_per_second": 2.088,
|
238 |
+
"eval_steps_per_second": 0.209,
|
239 |
+
"step": 30
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 15.5,
|
243 |
+
"learning_rate": 8.25e-06,
|
244 |
+
"loss": 0.8539,
|
245 |
+
"step": 31
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 16.0,
|
249 |
+
"learning_rate": 8.210526315789473e-06,
|
250 |
+
"loss": 0.8166,
|
251 |
+
"step": 32
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 16.5,
|
255 |
+
"learning_rate": 8.171052631578947e-06,
|
256 |
+
"loss": 0.8398,
|
257 |
+
"step": 33
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 17.0,
|
261 |
+
"learning_rate": 8.131578947368421e-06,
|
262 |
+
"loss": 0.7988,
|
263 |
+
"step": 34
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 17.5,
|
267 |
+
"learning_rate": 8.092105263157896e-06,
|
268 |
+
"loss": 0.7788,
|
269 |
+
"step": 35
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 18.0,
|
273 |
+
"learning_rate": 8.052631578947368e-06,
|
274 |
+
"loss": 0.7842,
|
275 |
+
"step": 36
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 18.5,
|
279 |
+
"learning_rate": 8.013157894736842e-06,
|
280 |
+
"loss": 0.7554,
|
281 |
+
"step": 37
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 19.0,
|
285 |
+
"learning_rate": 7.973684210526316e-06,
|
286 |
+
"loss": 0.746,
|
287 |
+
"step": 38
|
288 |
+
},
|
289 |
+
{
|
290 |
+
"epoch": 19.5,
|
291 |
+
"learning_rate": 7.934210526315789e-06,
|
292 |
+
"loss": 0.7234,
|
293 |
+
"step": 39
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 20.0,
|
297 |
+
"learning_rate": 7.894736842105263e-06,
|
298 |
+
"loss": 0.7551,
|
299 |
+
"step": 40
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 20.0,
|
303 |
+
"eval_accuracy_dropoff": 0.47188696988463036,
|
304 |
+
"eval_accuracy_undropoff": 0.9279577542570626,
|
305 |
+
"eval_accuracy_unlabeled": NaN,
|
306 |
+
"eval_iou_dropoff": 0.18289512986089382,
|
307 |
+
"eval_iou_undropoff": 0.9072130629563177,
|
308 |
+
"eval_iou_unlabeled": 0.0,
|
309 |
+
"eval_loss": 0.6533988118171692,
|
310 |
+
"eval_mean_accuracy": 0.6999223620708465,
|
311 |
+
"eval_mean_iou": 0.3633693976057371,
|
312 |
+
"eval_overall_accuracy": 0.9089946746826172,
|
313 |
+
"eval_runtime": 3.4912,
|
314 |
+
"eval_samples_per_second": 5.729,
|
315 |
+
"eval_steps_per_second": 0.573,
|
316 |
+
"step": 40
|
317 |
+
},
|
318 |
+
{
|
319 |
+
"epoch": 20.5,
|
320 |
+
"learning_rate": 7.855263157894737e-06,
|
321 |
+
"loss": 0.6963,
|
322 |
+
"step": 41
|
323 |
+
},
|
324 |
+
{
|
325 |
+
"epoch": 21.0,
|
326 |
+
"learning_rate": 7.815789473684211e-06,
|
327 |
+
"loss": 0.6967,
|
328 |
+
"step": 42
|
329 |
+
},
|
330 |
+
{
|
331 |
+
"epoch": 21.5,
|
332 |
+
"learning_rate": 7.776315789473685e-06,
|
333 |
+
"loss": 0.6664,
|
334 |
+
"step": 43
|
335 |
+
},
|
336 |
+
{
|
337 |
+
"epoch": 22.0,
|
338 |
+
"learning_rate": 7.736842105263158e-06,
|
339 |
+
"loss": 0.6761,
|
340 |
+
"step": 44
|
341 |
+
},
|
342 |
+
{
|
343 |
+
"epoch": 22.5,
|
344 |
+
"learning_rate": 7.697368421052632e-06,
|
345 |
+
"loss": 0.6465,
|
346 |
+
"step": 45
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 23.0,
|
350 |
+
"learning_rate": 7.657894736842106e-06,
|
351 |
+
"loss": 0.6876,
|
352 |
+
"step": 46
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 23.5,
|
356 |
+
"learning_rate": 7.618421052631579e-06,
|
357 |
+
"loss": 0.6282,
|
358 |
+
"step": 47
|
359 |
+
},
|
360 |
+
{
|
361 |
+
"epoch": 24.0,
|
362 |
+
"learning_rate": 7.578947368421053e-06,
|
363 |
+
"loss": 0.6247,
|
364 |
+
"step": 48
|
365 |
+
},
|
366 |
+
{
|
367 |
+
"epoch": 24.5,
|
368 |
+
"learning_rate": 7.539473684210527e-06,
|
369 |
+
"loss": 0.6037,
|
370 |
+
"step": 49
|
371 |
+
},
|
372 |
+
{
|
373 |
+
"epoch": 25.0,
|
374 |
+
"learning_rate": 7.5e-06,
|
375 |
+
"loss": 0.6236,
|
376 |
+
"step": 50
|
377 |
+
},
|
378 |
+
{
|
379 |
+
"epoch": 25.0,
|
380 |
+
"eval_accuracy_dropoff": 0.4614004908369458,
|
381 |
+
"eval_accuracy_undropoff": 0.9387625786460785,
|
382 |
+
"eval_accuracy_unlabeled": NaN,
|
383 |
+
"eval_iou_dropoff": 0.19552168013778248,
|
384 |
+
"eval_iou_undropoff": 0.9173372880255048,
|
385 |
+
"eval_iou_unlabeled": 0.0,
|
386 |
+
"eval_loss": 0.5938196778297424,
|
387 |
+
"eval_mean_accuracy": 0.7000815347415121,
|
388 |
+
"eval_mean_iou": 0.3709529893877625,
|
389 |
+
"eval_overall_accuracy": 0.9189142227172852,
|
390 |
+
"eval_runtime": 2.999,
|
391 |
+
"eval_samples_per_second": 6.669,
|
392 |
+
"eval_steps_per_second": 0.667,
|
393 |
+
"step": 50
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 25.5,
|
397 |
+
"learning_rate": 7.460526315789474e-06,
|
398 |
+
"loss": 0.5851,
|
399 |
+
"step": 51
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 26.0,
|
403 |
+
"learning_rate": 7.421052631578948e-06,
|
404 |
+
"loss": 0.5998,
|
405 |
+
"step": 52
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 26.5,
|
409 |
+
"learning_rate": 7.381578947368421e-06,
|
410 |
+
"loss": 0.5867,
|
411 |
+
"step": 53
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 27.0,
|
415 |
+
"learning_rate": 7.342105263157895e-06,
|
416 |
+
"loss": 0.5478,
|
417 |
+
"step": 54
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 27.5,
|
421 |
+
"learning_rate": 7.302631578947368e-06,
|
422 |
+
"loss": 0.5257,
|
423 |
+
"step": 55
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 28.0,
|
427 |
+
"learning_rate": 7.263157894736842e-06,
|
428 |
+
"loss": 0.5565,
|
429 |
+
"step": 56
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 28.5,
|
433 |
+
"learning_rate": 7.223684210526317e-06,
|
434 |
+
"loss": 0.5253,
|
435 |
+
"step": 57
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 29.0,
|
439 |
+
"learning_rate": 7.18421052631579e-06,
|
440 |
+
"loss": 0.5249,
|
441 |
+
"step": 58
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 29.5,
|
445 |
+
"learning_rate": 7.144736842105263e-06,
|
446 |
+
"loss": 0.5155,
|
447 |
+
"step": 59
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 30.0,
|
451 |
+
"learning_rate": 7.1052631578947375e-06,
|
452 |
+
"loss": 0.4977,
|
453 |
+
"step": 60
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"epoch": 30.0,
|
457 |
+
"eval_accuracy_dropoff": 0.44204683593660404,
|
458 |
+
"eval_accuracy_undropoff": 0.9554527118531071,
|
459 |
+
"eval_accuracy_unlabeled": NaN,
|
460 |
+
"eval_iou_dropoff": 0.22222683445987237,
|
461 |
+
"eval_iou_undropoff": 0.9328776694924146,
|
462 |
+
"eval_iou_unlabeled": 0.0,
|
463 |
+
"eval_loss": 0.5293418169021606,
|
464 |
+
"eval_mean_accuracy": 0.6987497738948556,
|
465 |
+
"eval_mean_iou": 0.3850348346507623,
|
466 |
+
"eval_overall_accuracy": 0.9341056823730469,
|
467 |
+
"eval_runtime": 2.9259,
|
468 |
+
"eval_samples_per_second": 6.836,
|
469 |
+
"eval_steps_per_second": 0.684,
|
470 |
+
"step": 60
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 30.5,
|
474 |
+
"learning_rate": 7.065789473684211e-06,
|
475 |
+
"loss": 0.486,
|
476 |
+
"step": 61
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 31.0,
|
480 |
+
"learning_rate": 7.026315789473684e-06,
|
481 |
+
"loss": 0.4739,
|
482 |
+
"step": 62
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 31.5,
|
486 |
+
"learning_rate": 6.986842105263158e-06,
|
487 |
+
"loss": 0.465,
|
488 |
+
"step": 63
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 32.0,
|
492 |
+
"learning_rate": 6.9473684210526315e-06,
|
493 |
+
"loss": 0.4841,
|
494 |
+
"step": 64
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 32.5,
|
498 |
+
"learning_rate": 6.907894736842106e-06,
|
499 |
+
"loss": 0.4661,
|
500 |
+
"step": 65
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 33.0,
|
504 |
+
"learning_rate": 6.86842105263158e-06,
|
505 |
+
"loss": 0.457,
|
506 |
+
"step": 66
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 33.5,
|
510 |
+
"learning_rate": 6.828947368421053e-06,
|
511 |
+
"loss": 0.4309,
|
512 |
+
"step": 67
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 34.0,
|
516 |
+
"learning_rate": 6.7894736842105264e-06,
|
517 |
+
"loss": 0.4359,
|
518 |
+
"step": 68
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 34.5,
|
522 |
+
"learning_rate": 6.75e-06,
|
523 |
+
"loss": 0.414,
|
524 |
+
"step": 69
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 35.0,
|
528 |
+
"learning_rate": 6.710526315789474e-06,
|
529 |
+
"loss": 0.4188,
|
530 |
+
"step": 70
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 35.0,
|
534 |
+
"eval_accuracy_dropoff": 0.42312897084795525,
|
535 |
+
"eval_accuracy_undropoff": 0.9650274583398426,
|
536 |
+
"eval_accuracy_unlabeled": NaN,
|
537 |
+
"eval_iou_dropoff": 0.23898106598406102,
|
538 |
+
"eval_iou_undropoff": 0.9414664632743484,
|
539 |
+
"eval_iou_unlabeled": 0.0,
|
540 |
+
"eval_loss": 0.48594316840171814,
|
541 |
+
"eval_mean_accuracy": 0.694078214593899,
|
542 |
+
"eval_mean_iou": 0.39348250975280313,
|
543 |
+
"eval_overall_accuracy": 0.9424957275390625,
|
544 |
+
"eval_runtime": 3.0215,
|
545 |
+
"eval_samples_per_second": 6.619,
|
546 |
+
"eval_steps_per_second": 0.662,
|
547 |
+
"step": 70
|
548 |
+
},
|
549 |
+
{
|
550 |
+
"epoch": 35.5,
|
551 |
+
"learning_rate": 6.671052631578947e-06,
|
552 |
+
"loss": 0.397,
|
553 |
+
"step": 71
|
554 |
+
},
|
555 |
+
{
|
556 |
+
"epoch": 36.0,
|
557 |
+
"learning_rate": 6.6315789473684205e-06,
|
558 |
+
"loss": 0.4114,
|
559 |
+
"step": 72
|
560 |
+
},
|
561 |
+
{
|
562 |
+
"epoch": 36.5,
|
563 |
+
"learning_rate": 6.592105263157895e-06,
|
564 |
+
"loss": 0.4052,
|
565 |
+
"step": 73
|
566 |
+
},
|
567 |
+
{
|
568 |
+
"epoch": 37.0,
|
569 |
+
"learning_rate": 6.552631578947369e-06,
|
570 |
+
"loss": 0.404,
|
571 |
+
"step": 74
|
572 |
+
},
|
573 |
+
{
|
574 |
+
"epoch": 37.5,
|
575 |
+
"learning_rate": 6.513157894736842e-06,
|
576 |
+
"loss": 0.3704,
|
577 |
+
"step": 75
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 38.0,
|
581 |
+
"learning_rate": 6.473684210526316e-06,
|
582 |
+
"loss": 0.4008,
|
583 |
+
"step": 76
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 38.5,
|
587 |
+
"learning_rate": 6.4342105263157896e-06,
|
588 |
+
"loss": 0.3855,
|
589 |
+
"step": 77
|
590 |
+
},
|
591 |
+
{
|
592 |
+
"epoch": 39.0,
|
593 |
+
"learning_rate": 6.394736842105263e-06,
|
594 |
+
"loss": 0.3719,
|
595 |
+
"step": 78
|
596 |
+
},
|
597 |
+
{
|
598 |
+
"epoch": 39.5,
|
599 |
+
"learning_rate": 6.355263157894737e-06,
|
600 |
+
"loss": 0.3637,
|
601 |
+
"step": 79
|
602 |
+
},
|
603 |
+
{
|
604 |
+
"epoch": 40.0,
|
605 |
+
"learning_rate": 6.31578947368421e-06,
|
606 |
+
"loss": 0.3532,
|
607 |
+
"step": 80
|
608 |
+
},
|
609 |
+
{
|
610 |
+
"epoch": 40.0,
|
611 |
+
"eval_accuracy_dropoff": 0.38814651712195236,
|
612 |
+
"eval_accuracy_undropoff": 0.9763837381353007,
|
613 |
+
"eval_accuracy_unlabeled": NaN,
|
614 |
+
"eval_iou_dropoff": 0.25466661048474964,
|
615 |
+
"eval_iou_undropoff": 0.9511414746114953,
|
616 |
+
"eval_iou_unlabeled": 0.0,
|
617 |
+
"eval_loss": 0.42775267362594604,
|
618 |
+
"eval_mean_accuracy": 0.6822651276286265,
|
619 |
+
"eval_mean_iou": 0.401936028365415,
|
620 |
+
"eval_overall_accuracy": 0.9519252777099609,
|
621 |
+
"eval_runtime": 2.9058,
|
622 |
+
"eval_samples_per_second": 6.883,
|
623 |
+
"eval_steps_per_second": 0.688,
|
624 |
+
"step": 80
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 40.5,
|
628 |
+
"learning_rate": 6.276315789473684e-06,
|
629 |
+
"loss": 0.343,
|
630 |
+
"step": 81
|
631 |
+
},
|
632 |
+
{
|
633 |
+
"epoch": 41.0,
|
634 |
+
"learning_rate": 6.236842105263159e-06,
|
635 |
+
"loss": 0.3551,
|
636 |
+
"step": 82
|
637 |
+
},
|
638 |
+
{
|
639 |
+
"epoch": 41.5,
|
640 |
+
"learning_rate": 6.197368421052632e-06,
|
641 |
+
"loss": 0.3465,
|
642 |
+
"step": 83
|
643 |
+
},
|
644 |
+
{
|
645 |
+
"epoch": 42.0,
|
646 |
+
"learning_rate": 6.157894736842105e-06,
|
647 |
+
"loss": 0.3327,
|
648 |
+
"step": 84
|
649 |
+
},
|
650 |
+
{
|
651 |
+
"epoch": 42.5,
|
652 |
+
"learning_rate": 6.118421052631579e-06,
|
653 |
+
"loss": 0.3481,
|
654 |
+
"step": 85
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 43.0,
|
658 |
+
"learning_rate": 6.078947368421053e-06,
|
659 |
+
"loss": 0.3134,
|
660 |
+
"step": 86
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 43.5,
|
664 |
+
"learning_rate": 6.039473684210526e-06,
|
665 |
+
"loss": 0.3053,
|
666 |
+
"step": 87
|
667 |
+
},
|
668 |
+
{
|
669 |
+
"epoch": 44.0,
|
670 |
+
"learning_rate": 6e-06,
|
671 |
+
"loss": 0.32,
|
672 |
+
"step": 88
|
673 |
+
},
|
674 |
+
{
|
675 |
+
"epoch": 44.5,
|
676 |
+
"learning_rate": 5.9605263157894735e-06,
|
677 |
+
"loss": 0.3236,
|
678 |
+
"step": 89
|
679 |
+
},
|
680 |
+
{
|
681 |
+
"epoch": 45.0,
|
682 |
+
"learning_rate": 5.921052631578948e-06,
|
683 |
+
"loss": 0.3187,
|
684 |
+
"step": 90
|
685 |
+
},
|
686 |
+
{
|
687 |
+
"epoch": 45.0,
|
688 |
+
"eval_accuracy_dropoff": 0.39418794009036906,
|
689 |
+
"eval_accuracy_undropoff": 0.9803864168035686,
|
690 |
+
"eval_accuracy_unlabeled": NaN,
|
691 |
+
"eval_iou_dropoff": 0.2742061579993682,
|
692 |
+
"eval_iou_undropoff": 0.9552955051752383,
|
693 |
+
"eval_iou_unlabeled": 0.0,
|
694 |
+
"eval_loss": 0.3913882076740265,
|
695 |
+
"eval_mean_accuracy": 0.6872871784469688,
|
696 |
+
"eval_mean_iou": 0.40983388772486884,
|
697 |
+
"eval_overall_accuracy": 0.9560127258300781,
|
698 |
+
"eval_runtime": 3.0009,
|
699 |
+
"eval_samples_per_second": 6.665,
|
700 |
+
"eval_steps_per_second": 0.666,
|
701 |
+
"step": 90
|
702 |
+
},
|
703 |
+
{
|
704 |
+
"epoch": 45.5,
|
705 |
+
"learning_rate": 5.881578947368422e-06,
|
706 |
+
"loss": 0.3086,
|
707 |
+
"step": 91
|
708 |
+
},
|
709 |
+
{
|
710 |
+
"epoch": 46.0,
|
711 |
+
"learning_rate": 5.842105263157895e-06,
|
712 |
+
"loss": 0.2949,
|
713 |
+
"step": 92
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 46.5,
|
717 |
+
"learning_rate": 5.802631578947368e-06,
|
718 |
+
"loss": 0.3289,
|
719 |
+
"step": 93
|
720 |
+
},
|
721 |
+
{
|
722 |
+
"epoch": 47.0,
|
723 |
+
"learning_rate": 5.7631578947368425e-06,
|
724 |
+
"loss": 0.2915,
|
725 |
+
"step": 94
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 47.5,
|
729 |
+
"learning_rate": 5.723684210526316e-06,
|
730 |
+
"loss": 0.29,
|
731 |
+
"step": 95
|
732 |
+
},
|
733 |
+
{
|
734 |
+
"epoch": 48.0,
|
735 |
+
"learning_rate": 5.684210526315789e-06,
|
736 |
+
"loss": 0.3007,
|
737 |
+
"step": 96
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 48.5,
|
741 |
+
"learning_rate": 5.644736842105263e-06,
|
742 |
+
"loss": 0.3019,
|
743 |
+
"step": 97
|
744 |
+
},
|
745 |
+
{
|
746 |
+
"epoch": 49.0,
|
747 |
+
"learning_rate": 5.6052631578947374e-06,
|
748 |
+
"loss": 0.2885,
|
749 |
+
"step": 98
|
750 |
+
},
|
751 |
+
{
|
752 |
+
"epoch": 49.5,
|
753 |
+
"learning_rate": 5.565789473684211e-06,
|
754 |
+
"loss": 0.2814,
|
755 |
+
"step": 99
|
756 |
+
},
|
757 |
+
{
|
758 |
+
"epoch": 50.0,
|
759 |
+
"learning_rate": 5.526315789473685e-06,
|
760 |
+
"loss": 0.2631,
|
761 |
+
"step": 100
|
762 |
+
},
|
763 |
+
{
|
764 |
+
"epoch": 50.0,
|
765 |
+
"eval_accuracy_dropoff": 0.4020138076561389,
|
766 |
+
"eval_accuracy_undropoff": 0.9815484334467356,
|
767 |
+
"eval_accuracy_unlabeled": NaN,
|
768 |
+
"eval_iou_dropoff": 0.28354789968712896,
|
769 |
+
"eval_iou_undropoff": 0.9567292612427862,
|
770 |
+
"eval_iou_unlabeled": 0.0,
|
771 |
+
"eval_loss": 0.3646724224090576,
|
772 |
+
"eval_mean_accuracy": 0.6917811205514373,
|
773 |
+
"eval_mean_iou": 0.41342572030997177,
|
774 |
+
"eval_overall_accuracy": 0.9574518203735352,
|
775 |
+
"eval_runtime": 2.934,
|
776 |
+
"eval_samples_per_second": 6.817,
|
777 |
+
"eval_steps_per_second": 0.682,
|
778 |
+
"step": 100
|
779 |
+
},
|
780 |
+
{
|
781 |
+
"epoch": 50.5,
|
782 |
+
"learning_rate": 5.486842105263158e-06,
|
783 |
+
"loss": 0.2683,
|
784 |
+
"step": 101
|
785 |
+
},
|
786 |
+
{
|
787 |
+
"epoch": 51.0,
|
788 |
+
"learning_rate": 5.4473684210526315e-06,
|
789 |
+
"loss": 0.2636,
|
790 |
+
"step": 102
|
791 |
+
},
|
792 |
+
{
|
793 |
+
"epoch": 51.5,
|
794 |
+
"learning_rate": 5.407894736842106e-06,
|
795 |
+
"loss": 0.2767,
|
796 |
+
"step": 103
|
797 |
+
},
|
798 |
+
{
|
799 |
+
"epoch": 52.0,
|
800 |
+
"learning_rate": 5.368421052631579e-06,
|
801 |
+
"loss": 0.2579,
|
802 |
+
"step": 104
|
803 |
+
},
|
804 |
+
{
|
805 |
+
"epoch": 52.5,
|
806 |
+
"learning_rate": 5.328947368421052e-06,
|
807 |
+
"loss": 0.2612,
|
808 |
+
"step": 105
|
809 |
+
},
|
810 |
+
{
|
811 |
+
"epoch": 53.0,
|
812 |
+
"learning_rate": 5.289473684210527e-06,
|
813 |
+
"loss": 0.2473,
|
814 |
+
"step": 106
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 53.5,
|
818 |
+
"learning_rate": 5.2500000000000006e-06,
|
819 |
+
"loss": 0.2459,
|
820 |
+
"step": 107
|
821 |
+
},
|
822 |
+
{
|
823 |
+
"epoch": 54.0,
|
824 |
+
"learning_rate": 5.210526315789474e-06,
|
825 |
+
"loss": 0.2658,
|
826 |
+
"step": 108
|
827 |
+
},
|
828 |
+
{
|
829 |
+
"epoch": 54.5,
|
830 |
+
"learning_rate": 5.171052631578947e-06,
|
831 |
+
"loss": 0.2496,
|
832 |
+
"step": 109
|
833 |
+
},
|
834 |
+
{
|
835 |
+
"epoch": 55.0,
|
836 |
+
"learning_rate": 5.131578947368421e-06,
|
837 |
+
"loss": 0.2565,
|
838 |
+
"step": 110
|
839 |
+
},
|
840 |
+
{
|
841 |
+
"epoch": 55.0,
|
842 |
+
"eval_accuracy_dropoff": 0.3962109222688594,
|
843 |
+
"eval_accuracy_undropoff": 0.9828545329893122,
|
844 |
+
"eval_accuracy_unlabeled": NaN,
|
845 |
+
"eval_iou_dropoff": 0.2845630508195371,
|
846 |
+
"eval_iou_undropoff": 0.957769917133554,
|
847 |
+
"eval_iou_unlabeled": 0.0,
|
848 |
+
"eval_loss": 0.34244000911712646,
|
849 |
+
"eval_mean_accuracy": 0.6895327276290858,
|
850 |
+
"eval_mean_iou": 0.414110989317697,
|
851 |
+
"eval_overall_accuracy": 0.9584623336791992,
|
852 |
+
"eval_runtime": 2.879,
|
853 |
+
"eval_samples_per_second": 6.947,
|
854 |
+
"eval_steps_per_second": 0.695,
|
855 |
+
"step": 110
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 55.5,
|
859 |
+
"learning_rate": 5.092105263157895e-06,
|
860 |
+
"loss": 0.2835,
|
861 |
+
"step": 111
|
862 |
+
},
|
863 |
+
{
|
864 |
+
"epoch": 56.0,
|
865 |
+
"learning_rate": 5.052631578947368e-06,
|
866 |
+
"loss": 0.2464,
|
867 |
+
"step": 112
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"epoch": 56.5,
|
871 |
+
"learning_rate": 5.013157894736842e-06,
|
872 |
+
"loss": 0.24,
|
873 |
+
"step": 113
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 57.0,
|
877 |
+
"learning_rate": 4.973684210526316e-06,
|
878 |
+
"loss": 0.2329,
|
879 |
+
"step": 114
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 57.5,
|
883 |
+
"learning_rate": 4.9342105263157895e-06,
|
884 |
+
"loss": 0.2399,
|
885 |
+
"step": 115
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 58.0,
|
889 |
+
"learning_rate": 4.894736842105264e-06,
|
890 |
+
"loss": 0.2468,
|
891 |
+
"step": 116
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 58.5,
|
895 |
+
"learning_rate": 4.855263157894737e-06,
|
896 |
+
"loss": 0.2338,
|
897 |
+
"step": 117
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 59.0,
|
901 |
+
"learning_rate": 4.81578947368421e-06,
|
902 |
+
"loss": 0.228,
|
903 |
+
"step": 118
|
904 |
+
},
|
905 |
+
{
|
906 |
+
"epoch": 59.5,
|
907 |
+
"learning_rate": 4.7763157894736844e-06,
|
908 |
+
"loss": 0.2336,
|
909 |
+
"step": 119
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 60.0,
|
913 |
+
"learning_rate": 4.736842105263158e-06,
|
914 |
+
"loss": 0.2259,
|
915 |
+
"step": 120
|
916 |
+
},
|
917 |
+
{
|
918 |
+
"epoch": 60.0,
|
919 |
+
"eval_accuracy_dropoff": 0.3842794559508246,
|
920 |
+
"eval_accuracy_undropoff": 0.9863174978133828,
|
921 |
+
"eval_accuracy_unlabeled": NaN,
|
922 |
+
"eval_iou_dropoff": 0.2925986727209221,
|
923 |
+
"eval_iou_undropoff": 0.9606573233147998,
|
924 |
+
"eval_iou_unlabeled": 0.0,
|
925 |
+
"eval_loss": 0.31272849440574646,
|
926 |
+
"eval_mean_accuracy": 0.6852984768821038,
|
927 |
+
"eval_mean_iou": 0.417751998678574,
|
928 |
+
"eval_overall_accuracy": 0.9612852096557617,
|
929 |
+
"eval_runtime": 14.3976,
|
930 |
+
"eval_samples_per_second": 1.389,
|
931 |
+
"eval_steps_per_second": 0.139,
|
932 |
+
"step": 120
|
933 |
+
}
|
934 |
+
],
|
935 |
+
"max_steps": 240,
|
936 |
+
"num_train_epochs": 120,
|
937 |
+
"total_flos": 1.3892743058581094e+18,
|
938 |
+
"trial_name": null,
|
939 |
+
"trial_params": null
|
940 |
+
}
|
checkpoint-120/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f86850878dec41d8c7a412afed73688c20c8f4e6e13eee22f0608682af730469
|
3 |
+
size 4155
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 338834121
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:56a694bc04fbc8f29a1f42100b6281f5b886acc299181d2e3aa63dff912a2c01
|
3 |
size 338834121
|
runs/Feb12_07-24-20_robolidar/events.out.tfevents.1707744270.robolidar.4127615.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:521ef702dabf553a0552ecb8259c6c14f88491e7c5dd05f1ac6b4f87c67dffd7
|
3 |
+
size 32592
|