Training in progress, step 200
Browse files- checkpoint-200/config.json +80 -0
- checkpoint-200/optimizer.pt +3 -0
- checkpoint-200/pytorch_model.bin +3 -0
- checkpoint-200/rng_state.pth +3 -0
- checkpoint-200/scheduler.pt +3 -0
- checkpoint-200/trainer_state.json +1556 -0
- checkpoint-200/training_args.bin +3 -0
- pytorch_model.bin +1 -1
- runs/Feb12_06-53-01_robovision.csres.utexas.edu/events.out.tfevents.1707742388.robovision.csres.utexas.edu.2756623.0 +2 -2
checkpoint-200/config.json
ADDED
@@ -0,0 +1,80 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "nvidia/mit-b0",
|
3 |
+
"architectures": [
|
4 |
+
"SegformerForSemanticSegmentation"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.0,
|
7 |
+
"classifier_dropout_prob": 0.1,
|
8 |
+
"decoder_hidden_size": 256,
|
9 |
+
"depths": [
|
10 |
+
2,
|
11 |
+
2,
|
12 |
+
2,
|
13 |
+
2
|
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 |
+
32,
|
26 |
+
64,
|
27 |
+
160,
|
28 |
+
256
|
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-200/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e4b3b96b61306b53e9e69520ae8ff6aab5cc61a1d93bd6c7930b12b5b2ad49ae
|
3 |
+
size 29876485
|
checkpoint-200/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0f0b3c34e8f3ed984e9fe02f1d256498b7f9ad7f0931aa68c39b17e93a4d15dd
|
3 |
+
size 14951629
|
checkpoint-200/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:112111c8387bd2ffa4cb89daec856d3a2b8cd760fb440592dd18e24ac21cc1b9
|
3 |
+
size 14575
|
checkpoint-200/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2236b123dcc2e9db49659d340b8b34cd1263ff2dd65d2eac1e267190cd35378a
|
3 |
+
size 627
|
checkpoint-200/trainer_state.json
ADDED
@@ -0,0 +1,1556 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.21336635947227478,
|
3 |
+
"best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/dropoff-utcustom-train-SF-RGBD-b0_7/checkpoint-200",
|
4 |
+
"epoch": 100.0,
|
5 |
+
"global_step": 200,
|
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": 6.666666666666667e-06,
|
13 |
+
"loss": 1.0264,
|
14 |
+
"step": 1
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 1.0,
|
18 |
+
"learning_rate": 1.3333333333333333e-05,
|
19 |
+
"loss": 1.0249,
|
20 |
+
"step": 2
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 1.5,
|
24 |
+
"learning_rate": 2e-05,
|
25 |
+
"loss": 1.0219,
|
26 |
+
"step": 3
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 2.0,
|
30 |
+
"learning_rate": 2.6666666666666667e-05,
|
31 |
+
"loss": 1.0261,
|
32 |
+
"step": 4
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 2.5,
|
36 |
+
"learning_rate": 3.3333333333333335e-05,
|
37 |
+
"loss": 1.0043,
|
38 |
+
"step": 5
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 3.0,
|
42 |
+
"learning_rate": 4e-05,
|
43 |
+
"loss": 0.9882,
|
44 |
+
"step": 6
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 3.5,
|
48 |
+
"learning_rate": 4.666666666666667e-05,
|
49 |
+
"loss": 0.9908,
|
50 |
+
"step": 7
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 4.0,
|
54 |
+
"learning_rate": 5.333333333333333e-05,
|
55 |
+
"loss": 0.9709,
|
56 |
+
"step": 8
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 4.5,
|
60 |
+
"learning_rate": 6.000000000000001e-05,
|
61 |
+
"loss": 0.961,
|
62 |
+
"step": 9
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 5.0,
|
66 |
+
"learning_rate": 6.666666666666667e-05,
|
67 |
+
"loss": 0.9508,
|
68 |
+
"step": 10
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 5.0,
|
72 |
+
"eval_accuracy_dropoff": 0.19369710314456753,
|
73 |
+
"eval_accuracy_undropoff": 0.9010801242217483,
|
74 |
+
"eval_accuracy_unlabeled": NaN,
|
75 |
+
"eval_iou_dropoff": 0.06049444267748618,
|
76 |
+
"eval_iou_undropoff": 0.8706257192603624,
|
77 |
+
"eval_iou_unlabeled": 0.0,
|
78 |
+
"eval_loss": 1.026282548904419,
|
79 |
+
"eval_mean_accuracy": 0.5473886136831579,
|
80 |
+
"eval_mean_iou": 0.31037338731261616,
|
81 |
+
"eval_overall_accuracy": 0.8716676712036133,
|
82 |
+
"eval_runtime": 2.7665,
|
83 |
+
"eval_samples_per_second": 7.229,
|
84 |
+
"eval_steps_per_second": 0.723,
|
85 |
+
"step": 10
|
86 |
+
},
|
87 |
+
{
|
88 |
+
"epoch": 5.5,
|
89 |
+
"learning_rate": 7.333333333333333e-05,
|
90 |
+
"loss": 0.9292,
|
91 |
+
"step": 11
|
92 |
+
},
|
93 |
+
{
|
94 |
+
"epoch": 6.0,
|
95 |
+
"learning_rate": 8e-05,
|
96 |
+
"loss": 0.9246,
|
97 |
+
"step": 12
|
98 |
+
},
|
99 |
+
{
|
100 |
+
"epoch": 6.5,
|
101 |
+
"learning_rate": 7.964912280701755e-05,
|
102 |
+
"loss": 0.9097,
|
103 |
+
"step": 13
|
104 |
+
},
|
105 |
+
{
|
106 |
+
"epoch": 7.0,
|
107 |
+
"learning_rate": 7.929824561403509e-05,
|
108 |
+
"loss": 0.8786,
|
109 |
+
"step": 14
|
110 |
+
},
|
111 |
+
{
|
112 |
+
"epoch": 7.5,
|
113 |
+
"learning_rate": 7.894736842105263e-05,
|
114 |
+
"loss": 0.8697,
|
115 |
+
"step": 15
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 8.0,
|
119 |
+
"learning_rate": 7.859649122807017e-05,
|
120 |
+
"loss": 0.8421,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 8.5,
|
125 |
+
"learning_rate": 7.824561403508773e-05,
|
126 |
+
"loss": 0.8223,
|
127 |
+
"step": 17
|
128 |
+
},
|
129 |
+
{
|
130 |
+
"epoch": 9.0,
|
131 |
+
"learning_rate": 7.789473684210527e-05,
|
132 |
+
"loss": 0.8166,
|
133 |
+
"step": 18
|
134 |
+
},
|
135 |
+
{
|
136 |
+
"epoch": 9.5,
|
137 |
+
"learning_rate": 7.754385964912281e-05,
|
138 |
+
"loss": 0.7987,
|
139 |
+
"step": 19
|
140 |
+
},
|
141 |
+
{
|
142 |
+
"epoch": 10.0,
|
143 |
+
"learning_rate": 7.719298245614036e-05,
|
144 |
+
"loss": 0.7814,
|
145 |
+
"step": 20
|
146 |
+
},
|
147 |
+
{
|
148 |
+
"epoch": 10.0,
|
149 |
+
"eval_accuracy_dropoff": 0.09518566939608707,
|
150 |
+
"eval_accuracy_undropoff": 0.9726282293027602,
|
151 |
+
"eval_accuracy_unlabeled": NaN,
|
152 |
+
"eval_iou_dropoff": 0.05836274909643214,
|
153 |
+
"eval_iou_undropoff": 0.9358911019066932,
|
154 |
+
"eval_iou_unlabeled": NaN,
|
155 |
+
"eval_loss": 0.7567641139030457,
|
156 |
+
"eval_mean_accuracy": 0.5339069493494236,
|
157 |
+
"eval_mean_iou": 0.4971269255015627,
|
158 |
+
"eval_overall_accuracy": 0.9361448287963867,
|
159 |
+
"eval_runtime": 2.8406,
|
160 |
+
"eval_samples_per_second": 7.041,
|
161 |
+
"eval_steps_per_second": 0.704,
|
162 |
+
"step": 20
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 10.5,
|
166 |
+
"learning_rate": 7.68421052631579e-05,
|
167 |
+
"loss": 0.7775,
|
168 |
+
"step": 21
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 11.0,
|
172 |
+
"learning_rate": 7.649122807017544e-05,
|
173 |
+
"loss": 0.744,
|
174 |
+
"step": 22
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 11.5,
|
178 |
+
"learning_rate": 7.614035087719298e-05,
|
179 |
+
"loss": 0.7385,
|
180 |
+
"step": 23
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 12.0,
|
184 |
+
"learning_rate": 7.578947368421052e-05,
|
185 |
+
"loss": 0.7156,
|
186 |
+
"step": 24
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 12.5,
|
190 |
+
"learning_rate": 7.543859649122808e-05,
|
191 |
+
"loss": 0.7073,
|
192 |
+
"step": 25
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 13.0,
|
196 |
+
"learning_rate": 7.508771929824562e-05,
|
197 |
+
"loss": 0.6876,
|
198 |
+
"step": 26
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 13.5,
|
202 |
+
"learning_rate": 7.473684210526316e-05,
|
203 |
+
"loss": 0.68,
|
204 |
+
"step": 27
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 14.0,
|
208 |
+
"learning_rate": 7.43859649122807e-05,
|
209 |
+
"loss": 0.6647,
|
210 |
+
"step": 28
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 14.5,
|
214 |
+
"learning_rate": 7.403508771929825e-05,
|
215 |
+
"loss": 0.656,
|
216 |
+
"step": 29
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"epoch": 15.0,
|
220 |
+
"learning_rate": 7.368421052631579e-05,
|
221 |
+
"loss": 0.642,
|
222 |
+
"step": 30
|
223 |
+
},
|
224 |
+
{
|
225 |
+
"epoch": 15.0,
|
226 |
+
"eval_accuracy_dropoff": 0.10256657262781256,
|
227 |
+
"eval_accuracy_undropoff": 0.9861238615411099,
|
228 |
+
"eval_accuracy_unlabeled": NaN,
|
229 |
+
"eval_iou_dropoff": 0.07771069890623208,
|
230 |
+
"eval_iou_undropoff": 0.9491694411343236,
|
231 |
+
"eval_iou_unlabeled": NaN,
|
232 |
+
"eval_loss": 0.590660810470581,
|
233 |
+
"eval_mean_accuracy": 0.5443452170844613,
|
234 |
+
"eval_mean_iou": 0.5134400700202778,
|
235 |
+
"eval_overall_accuracy": 0.9493862152099609,
|
236 |
+
"eval_runtime": 2.7723,
|
237 |
+
"eval_samples_per_second": 7.214,
|
238 |
+
"eval_steps_per_second": 0.721,
|
239 |
+
"step": 30
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 15.5,
|
243 |
+
"learning_rate": 7.333333333333333e-05,
|
244 |
+
"loss": 0.6219,
|
245 |
+
"step": 31
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 16.0,
|
249 |
+
"learning_rate": 7.298245614035087e-05,
|
250 |
+
"loss": 0.6276,
|
251 |
+
"step": 32
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 16.5,
|
255 |
+
"learning_rate": 7.263157894736843e-05,
|
256 |
+
"loss": 0.5895,
|
257 |
+
"step": 33
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 17.0,
|
261 |
+
"learning_rate": 7.228070175438597e-05,
|
262 |
+
"loss": 0.5987,
|
263 |
+
"step": 34
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 17.5,
|
267 |
+
"learning_rate": 7.192982456140351e-05,
|
268 |
+
"loss": 0.578,
|
269 |
+
"step": 35
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 18.0,
|
273 |
+
"learning_rate": 7.157894736842105e-05,
|
274 |
+
"loss": 0.5622,
|
275 |
+
"step": 36
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 18.5,
|
279 |
+
"learning_rate": 7.12280701754386e-05,
|
280 |
+
"loss": 0.5411,
|
281 |
+
"step": 37
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 19.0,
|
285 |
+
"learning_rate": 7.087719298245614e-05,
|
286 |
+
"loss": 0.5512,
|
287 |
+
"step": 38
|
288 |
+
},
|
289 |
+
{
|
290 |
+
"epoch": 19.5,
|
291 |
+
"learning_rate": 7.052631578947368e-05,
|
292 |
+
"loss": 0.5536,
|
293 |
+
"step": 39
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 20.0,
|
297 |
+
"learning_rate": 7.017543859649124e-05,
|
298 |
+
"loss": 0.5118,
|
299 |
+
"step": 40
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 20.0,
|
303 |
+
"eval_accuracy_dropoff": 0.20064680382577582,
|
304 |
+
"eval_accuracy_undropoff": 0.9839122686389837,
|
305 |
+
"eval_accuracy_unlabeled": NaN,
|
306 |
+
"eval_iou_dropoff": 0.146396810999508,
|
307 |
+
"eval_iou_undropoff": 0.9509353469996961,
|
308 |
+
"eval_iou_unlabeled": 0.0,
|
309 |
+
"eval_loss": 0.48036208748817444,
|
310 |
+
"eval_mean_accuracy": 0.5922795362323798,
|
311 |
+
"eval_mean_iou": 0.3657773859997347,
|
312 |
+
"eval_overall_accuracy": 0.9513446807861328,
|
313 |
+
"eval_runtime": 3.0452,
|
314 |
+
"eval_samples_per_second": 6.568,
|
315 |
+
"eval_steps_per_second": 0.657,
|
316 |
+
"step": 40
|
317 |
+
},
|
318 |
+
{
|
319 |
+
"epoch": 20.5,
|
320 |
+
"learning_rate": 6.982456140350878e-05,
|
321 |
+
"loss": 0.5335,
|
322 |
+
"step": 41
|
323 |
+
},
|
324 |
+
{
|
325 |
+
"epoch": 21.0,
|
326 |
+
"learning_rate": 6.947368421052632e-05,
|
327 |
+
"loss": 0.5013,
|
328 |
+
"step": 42
|
329 |
+
},
|
330 |
+
{
|
331 |
+
"epoch": 21.5,
|
332 |
+
"learning_rate": 6.912280701754386e-05,
|
333 |
+
"loss": 0.538,
|
334 |
+
"step": 43
|
335 |
+
},
|
336 |
+
{
|
337 |
+
"epoch": 22.0,
|
338 |
+
"learning_rate": 6.87719298245614e-05,
|
339 |
+
"loss": 0.5046,
|
340 |
+
"step": 44
|
341 |
+
},
|
342 |
+
{
|
343 |
+
"epoch": 22.5,
|
344 |
+
"learning_rate": 6.842105263157895e-05,
|
345 |
+
"loss": 0.4906,
|
346 |
+
"step": 45
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 23.0,
|
350 |
+
"learning_rate": 6.80701754385965e-05,
|
351 |
+
"loss": 0.4797,
|
352 |
+
"step": 46
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 23.5,
|
356 |
+
"learning_rate": 6.771929824561404e-05,
|
357 |
+
"loss": 0.492,
|
358 |
+
"step": 47
|
359 |
+
},
|
360 |
+
{
|
361 |
+
"epoch": 24.0,
|
362 |
+
"learning_rate": 6.736842105263159e-05,
|
363 |
+
"loss": 0.4671,
|
364 |
+
"step": 48
|
365 |
+
},
|
366 |
+
{
|
367 |
+
"epoch": 24.5,
|
368 |
+
"learning_rate": 6.701754385964913e-05,
|
369 |
+
"loss": 0.477,
|
370 |
+
"step": 49
|
371 |
+
},
|
372 |
+
{
|
373 |
+
"epoch": 25.0,
|
374 |
+
"learning_rate": 6.666666666666667e-05,
|
375 |
+
"loss": 0.4581,
|
376 |
+
"step": 50
|
377 |
+
},
|
378 |
+
{
|
379 |
+
"epoch": 25.0,
|
380 |
+
"eval_accuracy_dropoff": 0.19300442670703458,
|
381 |
+
"eval_accuracy_undropoff": 0.9900139008156406,
|
382 |
+
"eval_accuracy_unlabeled": NaN,
|
383 |
+
"eval_iou_dropoff": 0.15784833444007998,
|
384 |
+
"eval_iou_undropoff": 0.9565325903664265,
|
385 |
+
"eval_iou_unlabeled": 0.0,
|
386 |
+
"eval_loss": 0.44047123193740845,
|
387 |
+
"eval_mean_accuracy": 0.5915091637613376,
|
388 |
+
"eval_mean_iou": 0.37146030826883547,
|
389 |
+
"eval_overall_accuracy": 0.9568748474121094,
|
390 |
+
"eval_runtime": 2.862,
|
391 |
+
"eval_samples_per_second": 6.988,
|
392 |
+
"eval_steps_per_second": 0.699,
|
393 |
+
"step": 50
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 25.5,
|
397 |
+
"learning_rate": 6.631578947368421e-05,
|
398 |
+
"loss": 0.451,
|
399 |
+
"step": 51
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 26.0,
|
403 |
+
"learning_rate": 6.596491228070175e-05,
|
404 |
+
"loss": 0.4583,
|
405 |
+
"step": 52
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 26.5,
|
409 |
+
"learning_rate": 6.561403508771931e-05,
|
410 |
+
"loss": 0.4437,
|
411 |
+
"step": 53
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 27.0,
|
415 |
+
"learning_rate": 6.526315789473685e-05,
|
416 |
+
"loss": 0.4363,
|
417 |
+
"step": 54
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 27.5,
|
421 |
+
"learning_rate": 6.49122807017544e-05,
|
422 |
+
"loss": 0.4311,
|
423 |
+
"step": 55
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 28.0,
|
427 |
+
"learning_rate": 6.456140350877194e-05,
|
428 |
+
"loss": 0.4346,
|
429 |
+
"step": 56
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 28.5,
|
433 |
+
"learning_rate": 6.421052631578948e-05,
|
434 |
+
"loss": 0.419,
|
435 |
+
"step": 57
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 29.0,
|
439 |
+
"learning_rate": 6.385964912280702e-05,
|
440 |
+
"loss": 0.4368,
|
441 |
+
"step": 58
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 29.5,
|
445 |
+
"learning_rate": 6.350877192982457e-05,
|
446 |
+
"loss": 0.4127,
|
447 |
+
"step": 59
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 30.0,
|
451 |
+
"learning_rate": 6.315789473684212e-05,
|
452 |
+
"loss": 0.4213,
|
453 |
+
"step": 60
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"epoch": 30.0,
|
457 |
+
"eval_accuracy_dropoff": 0.23790453909493336,
|
458 |
+
"eval_accuracy_undropoff": 0.9892081112304063,
|
459 |
+
"eval_accuracy_unlabeled": NaN,
|
460 |
+
"eval_iou_dropoff": 0.19095414478964925,
|
461 |
+
"eval_iou_undropoff": 0.9575495596432145,
|
462 |
+
"eval_iou_unlabeled": 0.0,
|
463 |
+
"eval_loss": 0.4145582318305969,
|
464 |
+
"eval_mean_accuracy": 0.6135563251626699,
|
465 |
+
"eval_mean_iou": 0.38283456814428796,
|
466 |
+
"eval_overall_accuracy": 0.9579694747924805,
|
467 |
+
"eval_runtime": 2.9309,
|
468 |
+
"eval_samples_per_second": 6.824,
|
469 |
+
"eval_steps_per_second": 0.682,
|
470 |
+
"step": 60
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 30.5,
|
474 |
+
"learning_rate": 6.280701754385966e-05,
|
475 |
+
"loss": 0.4109,
|
476 |
+
"step": 61
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 31.0,
|
480 |
+
"learning_rate": 6.24561403508772e-05,
|
481 |
+
"loss": 0.3886,
|
482 |
+
"step": 62
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 31.5,
|
486 |
+
"learning_rate": 6.210526315789474e-05,
|
487 |
+
"loss": 0.4031,
|
488 |
+
"step": 63
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 32.0,
|
492 |
+
"learning_rate": 6.175438596491228e-05,
|
493 |
+
"loss": 0.3899,
|
494 |
+
"step": 64
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 32.5,
|
498 |
+
"learning_rate": 6.140350877192984e-05,
|
499 |
+
"loss": 0.3879,
|
500 |
+
"step": 65
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 33.0,
|
504 |
+
"learning_rate": 6.105263157894738e-05,
|
505 |
+
"loss": 0.3708,
|
506 |
+
"step": 66
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 33.5,
|
510 |
+
"learning_rate": 6.070175438596492e-05,
|
511 |
+
"loss": 0.382,
|
512 |
+
"step": 67
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 34.0,
|
516 |
+
"learning_rate": 6.035087719298246e-05,
|
517 |
+
"loss": 0.3716,
|
518 |
+
"step": 68
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 34.5,
|
522 |
+
"learning_rate": 6.000000000000001e-05,
|
523 |
+
"loss": 0.3808,
|
524 |
+
"step": 69
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 35.0,
|
528 |
+
"learning_rate": 5.964912280701755e-05,
|
529 |
+
"loss": 0.3571,
|
530 |
+
"step": 70
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 35.0,
|
534 |
+
"eval_accuracy_dropoff": 0.2473726461616092,
|
535 |
+
"eval_accuracy_undropoff": 0.9886681983766793,
|
536 |
+
"eval_accuracy_unlabeled": NaN,
|
537 |
+
"eval_iou_dropoff": 0.19633228600450728,
|
538 |
+
"eval_iou_undropoff": 0.9574076008382422,
|
539 |
+
"eval_iou_unlabeled": 0.0,
|
540 |
+
"eval_loss": 0.375016450881958,
|
541 |
+
"eval_mean_accuracy": 0.6180204222691442,
|
542 |
+
"eval_mean_iou": 0.3845799622809165,
|
543 |
+
"eval_overall_accuracy": 0.9578456878662109,
|
544 |
+
"eval_runtime": 2.8583,
|
545 |
+
"eval_samples_per_second": 6.997,
|
546 |
+
"eval_steps_per_second": 0.7,
|
547 |
+
"step": 70
|
548 |
+
},
|
549 |
+
{
|
550 |
+
"epoch": 35.5,
|
551 |
+
"learning_rate": 5.929824561403509e-05,
|
552 |
+
"loss": 0.367,
|
553 |
+
"step": 71
|
554 |
+
},
|
555 |
+
{
|
556 |
+
"epoch": 36.0,
|
557 |
+
"learning_rate": 5.8947368421052634e-05,
|
558 |
+
"loss": 0.3767,
|
559 |
+
"step": 72
|
560 |
+
},
|
561 |
+
{
|
562 |
+
"epoch": 36.5,
|
563 |
+
"learning_rate": 5.8596491228070176e-05,
|
564 |
+
"loss": 0.3713,
|
565 |
+
"step": 73
|
566 |
+
},
|
567 |
+
{
|
568 |
+
"epoch": 37.0,
|
569 |
+
"learning_rate": 5.8245614035087725e-05,
|
570 |
+
"loss": 0.3326,
|
571 |
+
"step": 74
|
572 |
+
},
|
573 |
+
{
|
574 |
+
"epoch": 37.5,
|
575 |
+
"learning_rate": 5.789473684210527e-05,
|
576 |
+
"loss": 0.348,
|
577 |
+
"step": 75
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 38.0,
|
581 |
+
"learning_rate": 5.7543859649122816e-05,
|
582 |
+
"loss": 0.3401,
|
583 |
+
"step": 76
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 38.5,
|
587 |
+
"learning_rate": 5.719298245614036e-05,
|
588 |
+
"loss": 0.3436,
|
589 |
+
"step": 77
|
590 |
+
},
|
591 |
+
{
|
592 |
+
"epoch": 39.0,
|
593 |
+
"learning_rate": 5.68421052631579e-05,
|
594 |
+
"loss": 0.3487,
|
595 |
+
"step": 78
|
596 |
+
},
|
597 |
+
{
|
598 |
+
"epoch": 39.5,
|
599 |
+
"learning_rate": 5.649122807017544e-05,
|
600 |
+
"loss": 0.3398,
|
601 |
+
"step": 79
|
602 |
+
},
|
603 |
+
{
|
604 |
+
"epoch": 40.0,
|
605 |
+
"learning_rate": 5.6140350877192984e-05,
|
606 |
+
"loss": 0.3205,
|
607 |
+
"step": 80
|
608 |
+
},
|
609 |
+
{
|
610 |
+
"epoch": 40.0,
|
611 |
+
"eval_accuracy_dropoff": 0.2522076194408129,
|
612 |
+
"eval_accuracy_undropoff": 0.9881893814485306,
|
613 |
+
"eval_accuracy_unlabeled": NaN,
|
614 |
+
"eval_iou_dropoff": 0.19823899733902547,
|
615 |
+
"eval_iou_undropoff": 0.9571383411399603,
|
616 |
+
"eval_iou_unlabeled": NaN,
|
617 |
+
"eval_loss": 0.3478124737739563,
|
618 |
+
"eval_mean_accuracy": 0.6201985004446717,
|
619 |
+
"eval_mean_iou": 0.5776886692394929,
|
620 |
+
"eval_overall_accuracy": 0.9575878143310547,
|
621 |
+
"eval_runtime": 2.8448,
|
622 |
+
"eval_samples_per_second": 7.03,
|
623 |
+
"eval_steps_per_second": 0.703,
|
624 |
+
"step": 80
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 40.5,
|
628 |
+
"learning_rate": 5.5789473684210526e-05,
|
629 |
+
"loss": 0.3368,
|
630 |
+
"step": 81
|
631 |
+
},
|
632 |
+
{
|
633 |
+
"epoch": 41.0,
|
634 |
+
"learning_rate": 5.543859649122808e-05,
|
635 |
+
"loss": 0.3154,
|
636 |
+
"step": 82
|
637 |
+
},
|
638 |
+
{
|
639 |
+
"epoch": 41.5,
|
640 |
+
"learning_rate": 5.508771929824562e-05,
|
641 |
+
"loss": 0.3346,
|
642 |
+
"step": 83
|
643 |
+
},
|
644 |
+
{
|
645 |
+
"epoch": 42.0,
|
646 |
+
"learning_rate": 5.4736842105263165e-05,
|
647 |
+
"loss": 0.32,
|
648 |
+
"step": 84
|
649 |
+
},
|
650 |
+
{
|
651 |
+
"epoch": 42.5,
|
652 |
+
"learning_rate": 5.438596491228071e-05,
|
653 |
+
"loss": 0.3161,
|
654 |
+
"step": 85
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 43.0,
|
658 |
+
"learning_rate": 5.403508771929825e-05,
|
659 |
+
"loss": 0.3033,
|
660 |
+
"step": 86
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 43.5,
|
664 |
+
"learning_rate": 5.368421052631579e-05,
|
665 |
+
"loss": 0.3246,
|
666 |
+
"step": 87
|
667 |
+
},
|
668 |
+
{
|
669 |
+
"epoch": 44.0,
|
670 |
+
"learning_rate": 5.333333333333333e-05,
|
671 |
+
"loss": 0.3147,
|
672 |
+
"step": 88
|
673 |
+
},
|
674 |
+
{
|
675 |
+
"epoch": 44.5,
|
676 |
+
"learning_rate": 5.2982456140350875e-05,
|
677 |
+
"loss": 0.3171,
|
678 |
+
"step": 89
|
679 |
+
},
|
680 |
+
{
|
681 |
+
"epoch": 45.0,
|
682 |
+
"learning_rate": 5.263157894736843e-05,
|
683 |
+
"loss": 0.3114,
|
684 |
+
"step": 90
|
685 |
+
},
|
686 |
+
{
|
687 |
+
"epoch": 45.0,
|
688 |
+
"eval_accuracy_dropoff": 0.30220417899493107,
|
689 |
+
"eval_accuracy_undropoff": 0.9823902437568223,
|
690 |
+
"eval_accuracy_unlabeled": NaN,
|
691 |
+
"eval_iou_dropoff": 0.21497190442937603,
|
692 |
+
"eval_iou_undropoff": 0.9535308994629481,
|
693 |
+
"eval_iou_unlabeled": 0.0,
|
694 |
+
"eval_loss": 0.3460918366909027,
|
695 |
+
"eval_mean_accuracy": 0.6422972113758767,
|
696 |
+
"eval_mean_iou": 0.38950093463077473,
|
697 |
+
"eval_overall_accuracy": 0.9541086196899414,
|
698 |
+
"eval_runtime": 2.7794,
|
699 |
+
"eval_samples_per_second": 7.196,
|
700 |
+
"eval_steps_per_second": 0.72,
|
701 |
+
"step": 90
|
702 |
+
},
|
703 |
+
{
|
704 |
+
"epoch": 45.5,
|
705 |
+
"learning_rate": 5.228070175438597e-05,
|
706 |
+
"loss": 0.3018,
|
707 |
+
"step": 91
|
708 |
+
},
|
709 |
+
{
|
710 |
+
"epoch": 46.0,
|
711 |
+
"learning_rate": 5.1929824561403515e-05,
|
712 |
+
"loss": 0.295,
|
713 |
+
"step": 92
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 46.5,
|
717 |
+
"learning_rate": 5.157894736842106e-05,
|
718 |
+
"loss": 0.2985,
|
719 |
+
"step": 93
|
720 |
+
},
|
721 |
+
{
|
722 |
+
"epoch": 47.0,
|
723 |
+
"learning_rate": 5.12280701754386e-05,
|
724 |
+
"loss": 0.2946,
|
725 |
+
"step": 94
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 47.5,
|
729 |
+
"learning_rate": 5.087719298245614e-05,
|
730 |
+
"loss": 0.302,
|
731 |
+
"step": 95
|
732 |
+
},
|
733 |
+
{
|
734 |
+
"epoch": 48.0,
|
735 |
+
"learning_rate": 5.052631578947368e-05,
|
736 |
+
"loss": 0.2771,
|
737 |
+
"step": 96
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 48.5,
|
741 |
+
"learning_rate": 5.017543859649123e-05,
|
742 |
+
"loss": 0.2849,
|
743 |
+
"step": 97
|
744 |
+
},
|
745 |
+
{
|
746 |
+
"epoch": 49.0,
|
747 |
+
"learning_rate": 4.982456140350878e-05,
|
748 |
+
"loss": 0.2958,
|
749 |
+
"step": 98
|
750 |
+
},
|
751 |
+
{
|
752 |
+
"epoch": 49.5,
|
753 |
+
"learning_rate": 4.947368421052632e-05,
|
754 |
+
"loss": 0.2795,
|
755 |
+
"step": 99
|
756 |
+
},
|
757 |
+
{
|
758 |
+
"epoch": 50.0,
|
759 |
+
"learning_rate": 4.9122807017543864e-05,
|
760 |
+
"loss": 0.2747,
|
761 |
+
"step": 100
|
762 |
+
},
|
763 |
+
{
|
764 |
+
"epoch": 50.0,
|
765 |
+
"eval_accuracy_dropoff": 0.28468084130369964,
|
766 |
+
"eval_accuracy_undropoff": 0.9867370099017192,
|
767 |
+
"eval_accuracy_unlabeled": NaN,
|
768 |
+
"eval_iou_dropoff": 0.2180262788083193,
|
769 |
+
"eval_iou_undropoff": 0.9570375042874478,
|
770 |
+
"eval_iou_unlabeled": NaN,
|
771 |
+
"eval_loss": 0.3253457546234131,
|
772 |
+
"eval_mean_accuracy": 0.6357089256027094,
|
773 |
+
"eval_mean_iou": 0.5875318915478835,
|
774 |
+
"eval_overall_accuracy": 0.9575460433959961,
|
775 |
+
"eval_runtime": 2.8813,
|
776 |
+
"eval_samples_per_second": 6.941,
|
777 |
+
"eval_steps_per_second": 0.694,
|
778 |
+
"step": 100
|
779 |
+
},
|
780 |
+
{
|
781 |
+
"epoch": 50.5,
|
782 |
+
"learning_rate": 4.8771929824561406e-05,
|
783 |
+
"loss": 0.2742,
|
784 |
+
"step": 101
|
785 |
+
},
|
786 |
+
{
|
787 |
+
"epoch": 51.0,
|
788 |
+
"learning_rate": 4.842105263157895e-05,
|
789 |
+
"loss": 0.2787,
|
790 |
+
"step": 102
|
791 |
+
},
|
792 |
+
{
|
793 |
+
"epoch": 51.5,
|
794 |
+
"learning_rate": 4.80701754385965e-05,
|
795 |
+
"loss": 0.2706,
|
796 |
+
"step": 103
|
797 |
+
},
|
798 |
+
{
|
799 |
+
"epoch": 52.0,
|
800 |
+
"learning_rate": 4.771929824561404e-05,
|
801 |
+
"loss": 0.2642,
|
802 |
+
"step": 104
|
803 |
+
},
|
804 |
+
{
|
805 |
+
"epoch": 52.5,
|
806 |
+
"learning_rate": 4.736842105263158e-05,
|
807 |
+
"loss": 0.2654,
|
808 |
+
"step": 105
|
809 |
+
},
|
810 |
+
{
|
811 |
+
"epoch": 53.0,
|
812 |
+
"learning_rate": 4.701754385964913e-05,
|
813 |
+
"loss": 0.2615,
|
814 |
+
"step": 106
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 53.5,
|
818 |
+
"learning_rate": 4.666666666666667e-05,
|
819 |
+
"loss": 0.2564,
|
820 |
+
"step": 107
|
821 |
+
},
|
822 |
+
{
|
823 |
+
"epoch": 54.0,
|
824 |
+
"learning_rate": 4.6315789473684214e-05,
|
825 |
+
"loss": 0.2746,
|
826 |
+
"step": 108
|
827 |
+
},
|
828 |
+
{
|
829 |
+
"epoch": 54.5,
|
830 |
+
"learning_rate": 4.5964912280701756e-05,
|
831 |
+
"loss": 0.2581,
|
832 |
+
"step": 109
|
833 |
+
},
|
834 |
+
{
|
835 |
+
"epoch": 55.0,
|
836 |
+
"learning_rate": 4.5614035087719304e-05,
|
837 |
+
"loss": 0.2593,
|
838 |
+
"step": 110
|
839 |
+
},
|
840 |
+
{
|
841 |
+
"epoch": 55.0,
|
842 |
+
"eval_accuracy_dropoff": 0.33773251680084404,
|
843 |
+
"eval_accuracy_undropoff": 0.9820135187173438,
|
844 |
+
"eval_accuracy_unlabeled": NaN,
|
845 |
+
"eval_iou_dropoff": 0.23874827725982975,
|
846 |
+
"eval_iou_undropoff": 0.954587081777339,
|
847 |
+
"eval_iou_unlabeled": NaN,
|
848 |
+
"eval_loss": 0.30832570791244507,
|
849 |
+
"eval_mean_accuracy": 0.6598730177590939,
|
850 |
+
"eval_mean_iou": 0.5966676795185843,
|
851 |
+
"eval_overall_accuracy": 0.9552248001098633,
|
852 |
+
"eval_runtime": 2.8284,
|
853 |
+
"eval_samples_per_second": 7.071,
|
854 |
+
"eval_steps_per_second": 0.707,
|
855 |
+
"step": 110
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 55.5,
|
859 |
+
"learning_rate": 4.5263157894736846e-05,
|
860 |
+
"loss": 0.2512,
|
861 |
+
"step": 111
|
862 |
+
},
|
863 |
+
{
|
864 |
+
"epoch": 56.0,
|
865 |
+
"learning_rate": 4.491228070175439e-05,
|
866 |
+
"loss": 0.2511,
|
867 |
+
"step": 112
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"epoch": 56.5,
|
871 |
+
"learning_rate": 4.456140350877193e-05,
|
872 |
+
"loss": 0.2618,
|
873 |
+
"step": 113
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 57.0,
|
877 |
+
"learning_rate": 4.421052631578948e-05,
|
878 |
+
"loss": 0.2434,
|
879 |
+
"step": 114
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 57.5,
|
883 |
+
"learning_rate": 4.385964912280702e-05,
|
884 |
+
"loss": 0.2517,
|
885 |
+
"step": 115
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 58.0,
|
889 |
+
"learning_rate": 4.350877192982457e-05,
|
890 |
+
"loss": 0.2416,
|
891 |
+
"step": 116
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 58.5,
|
895 |
+
"learning_rate": 4.315789473684211e-05,
|
896 |
+
"loss": 0.244,
|
897 |
+
"step": 117
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 59.0,
|
901 |
+
"learning_rate": 4.2807017543859654e-05,
|
902 |
+
"loss": 0.2488,
|
903 |
+
"step": 118
|
904 |
+
},
|
905 |
+
{
|
906 |
+
"epoch": 59.5,
|
907 |
+
"learning_rate": 4.2456140350877196e-05,
|
908 |
+
"loss": 0.2401,
|
909 |
+
"step": 119
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 60.0,
|
913 |
+
"learning_rate": 4.210526315789474e-05,
|
914 |
+
"loss": 0.2293,
|
915 |
+
"step": 120
|
916 |
+
},
|
917 |
+
{
|
918 |
+
"epoch": 60.0,
|
919 |
+
"eval_accuracy_dropoff": 0.28798825661139016,
|
920 |
+
"eval_accuracy_undropoff": 0.9897756864087437,
|
921 |
+
"eval_accuracy_unlabeled": NaN,
|
922 |
+
"eval_iou_dropoff": 0.23306146541387157,
|
923 |
+
"eval_iou_undropoff": 0.9601183374838324,
|
924 |
+
"eval_iou_unlabeled": NaN,
|
925 |
+
"eval_loss": 0.2761629819869995,
|
926 |
+
"eval_mean_accuracy": 0.6388819715100669,
|
927 |
+
"eval_mean_iou": 0.5965899014488519,
|
928 |
+
"eval_overall_accuracy": 0.9605958938598633,
|
929 |
+
"eval_runtime": 2.9048,
|
930 |
+
"eval_samples_per_second": 6.885,
|
931 |
+
"eval_steps_per_second": 0.689,
|
932 |
+
"step": 120
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 60.5,
|
936 |
+
"learning_rate": 4.175438596491228e-05,
|
937 |
+
"loss": 0.2446,
|
938 |
+
"step": 121
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 61.0,
|
942 |
+
"learning_rate": 4.1403508771929835e-05,
|
943 |
+
"loss": 0.2494,
|
944 |
+
"step": 122
|
945 |
+
},
|
946 |
+
{
|
947 |
+
"epoch": 61.5,
|
948 |
+
"learning_rate": 4.105263157894738e-05,
|
949 |
+
"loss": 0.2412,
|
950 |
+
"step": 123
|
951 |
+
},
|
952 |
+
{
|
953 |
+
"epoch": 62.0,
|
954 |
+
"learning_rate": 4.070175438596492e-05,
|
955 |
+
"loss": 0.2311,
|
956 |
+
"step": 124
|
957 |
+
},
|
958 |
+
{
|
959 |
+
"epoch": 62.5,
|
960 |
+
"learning_rate": 4.035087719298246e-05,
|
961 |
+
"loss": 0.2317,
|
962 |
+
"step": 125
|
963 |
+
},
|
964 |
+
{
|
965 |
+
"epoch": 63.0,
|
966 |
+
"learning_rate": 4e-05,
|
967 |
+
"loss": 0.2288,
|
968 |
+
"step": 126
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 63.5,
|
972 |
+
"learning_rate": 3.9649122807017545e-05,
|
973 |
+
"loss": 0.2321,
|
974 |
+
"step": 127
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 64.0,
|
978 |
+
"learning_rate": 3.929824561403509e-05,
|
979 |
+
"loss": 0.2275,
|
980 |
+
"step": 128
|
981 |
+
},
|
982 |
+
{
|
983 |
+
"epoch": 64.5,
|
984 |
+
"learning_rate": 3.8947368421052636e-05,
|
985 |
+
"loss": 0.2188,
|
986 |
+
"step": 129
|
987 |
+
},
|
988 |
+
{
|
989 |
+
"epoch": 65.0,
|
990 |
+
"learning_rate": 3.859649122807018e-05,
|
991 |
+
"loss": 0.2306,
|
992 |
+
"step": 130
|
993 |
+
},
|
994 |
+
{
|
995 |
+
"epoch": 65.0,
|
996 |
+
"eval_accuracy_dropoff": 0.33258560976169177,
|
997 |
+
"eval_accuracy_undropoff": 0.9847747759401458,
|
998 |
+
"eval_accuracy_unlabeled": NaN,
|
999 |
+
"eval_iou_dropoff": 0.2461867572156197,
|
1000 |
+
"eval_iou_undropoff": 0.9570634874278051,
|
1001 |
+
"eval_iou_unlabeled": NaN,
|
1002 |
+
"eval_loss": 0.2655036747455597,
|
1003 |
+
"eval_mean_accuracy": 0.6586801928509188,
|
1004 |
+
"eval_mean_iou": 0.6016251223217124,
|
1005 |
+
"eval_overall_accuracy": 0.9576572418212891,
|
1006 |
+
"eval_runtime": 2.8007,
|
1007 |
+
"eval_samples_per_second": 7.141,
|
1008 |
+
"eval_steps_per_second": 0.714,
|
1009 |
+
"step": 130
|
1010 |
+
},
|
1011 |
+
{
|
1012 |
+
"epoch": 65.5,
|
1013 |
+
"learning_rate": 3.824561403508772e-05,
|
1014 |
+
"loss": 0.2261,
|
1015 |
+
"step": 131
|
1016 |
+
},
|
1017 |
+
{
|
1018 |
+
"epoch": 66.0,
|
1019 |
+
"learning_rate": 3.789473684210526e-05,
|
1020 |
+
"loss": 0.2165,
|
1021 |
+
"step": 132
|
1022 |
+
},
|
1023 |
+
{
|
1024 |
+
"epoch": 66.5,
|
1025 |
+
"learning_rate": 3.754385964912281e-05,
|
1026 |
+
"loss": 0.2182,
|
1027 |
+
"step": 133
|
1028 |
+
},
|
1029 |
+
{
|
1030 |
+
"epoch": 67.0,
|
1031 |
+
"learning_rate": 3.719298245614035e-05,
|
1032 |
+
"loss": 0.2042,
|
1033 |
+
"step": 134
|
1034 |
+
},
|
1035 |
+
{
|
1036 |
+
"epoch": 67.5,
|
1037 |
+
"learning_rate": 3.6842105263157895e-05,
|
1038 |
+
"loss": 0.2134,
|
1039 |
+
"step": 135
|
1040 |
+
},
|
1041 |
+
{
|
1042 |
+
"epoch": 68.0,
|
1043 |
+
"learning_rate": 3.649122807017544e-05,
|
1044 |
+
"loss": 0.2213,
|
1045 |
+
"step": 136
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 68.5,
|
1049 |
+
"learning_rate": 3.6140350877192985e-05,
|
1050 |
+
"loss": 0.2057,
|
1051 |
+
"step": 137
|
1052 |
+
},
|
1053 |
+
{
|
1054 |
+
"epoch": 69.0,
|
1055 |
+
"learning_rate": 3.578947368421053e-05,
|
1056 |
+
"loss": 0.2108,
|
1057 |
+
"step": 138
|
1058 |
+
},
|
1059 |
+
{
|
1060 |
+
"epoch": 69.5,
|
1061 |
+
"learning_rate": 3.543859649122807e-05,
|
1062 |
+
"loss": 0.2044,
|
1063 |
+
"step": 139
|
1064 |
+
},
|
1065 |
+
{
|
1066 |
+
"epoch": 70.0,
|
1067 |
+
"learning_rate": 3.508771929824562e-05,
|
1068 |
+
"loss": 0.2118,
|
1069 |
+
"step": 140
|
1070 |
+
},
|
1071 |
+
{
|
1072 |
+
"epoch": 70.0,
|
1073 |
+
"eval_accuracy_dropoff": 0.31326406568958004,
|
1074 |
+
"eval_accuracy_undropoff": 0.9885589421449447,
|
1075 |
+
"eval_accuracy_unlabeled": NaN,
|
1076 |
+
"eval_iou_dropoff": 0.24789008475960578,
|
1077 |
+
"eval_iou_undropoff": 0.9599591465217534,
|
1078 |
+
"eval_iou_unlabeled": NaN,
|
1079 |
+
"eval_loss": 0.24455919861793518,
|
1080 |
+
"eval_mean_accuracy": 0.6509115039172624,
|
1081 |
+
"eval_mean_iou": 0.6039246156406796,
|
1082 |
+
"eval_overall_accuracy": 0.9604806900024414,
|
1083 |
+
"eval_runtime": 2.8983,
|
1084 |
+
"eval_samples_per_second": 6.901,
|
1085 |
+
"eval_steps_per_second": 0.69,
|
1086 |
+
"step": 140
|
1087 |
+
},
|
1088 |
+
{
|
1089 |
+
"epoch": 70.5,
|
1090 |
+
"learning_rate": 3.473684210526316e-05,
|
1091 |
+
"loss": 0.2002,
|
1092 |
+
"step": 141
|
1093 |
+
},
|
1094 |
+
{
|
1095 |
+
"epoch": 71.0,
|
1096 |
+
"learning_rate": 3.43859649122807e-05,
|
1097 |
+
"loss": 0.2002,
|
1098 |
+
"step": 142
|
1099 |
+
},
|
1100 |
+
{
|
1101 |
+
"epoch": 71.5,
|
1102 |
+
"learning_rate": 3.403508771929825e-05,
|
1103 |
+
"loss": 0.1967,
|
1104 |
+
"step": 143
|
1105 |
+
},
|
1106 |
+
{
|
1107 |
+
"epoch": 72.0,
|
1108 |
+
"learning_rate": 3.368421052631579e-05,
|
1109 |
+
"loss": 0.2037,
|
1110 |
+
"step": 144
|
1111 |
+
},
|
1112 |
+
{
|
1113 |
+
"epoch": 72.5,
|
1114 |
+
"learning_rate": 3.3333333333333335e-05,
|
1115 |
+
"loss": 0.204,
|
1116 |
+
"step": 145
|
1117 |
+
},
|
1118 |
+
{
|
1119 |
+
"epoch": 73.0,
|
1120 |
+
"learning_rate": 3.298245614035088e-05,
|
1121 |
+
"loss": 0.193,
|
1122 |
+
"step": 146
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 73.5,
|
1126 |
+
"learning_rate": 3.2631578947368426e-05,
|
1127 |
+
"loss": 0.1922,
|
1128 |
+
"step": 147
|
1129 |
+
},
|
1130 |
+
{
|
1131 |
+
"epoch": 74.0,
|
1132 |
+
"learning_rate": 3.228070175438597e-05,
|
1133 |
+
"loss": 0.1917,
|
1134 |
+
"step": 148
|
1135 |
+
},
|
1136 |
+
{
|
1137 |
+
"epoch": 74.5,
|
1138 |
+
"learning_rate": 3.192982456140351e-05,
|
1139 |
+
"loss": 0.1809,
|
1140 |
+
"step": 149
|
1141 |
+
},
|
1142 |
+
{
|
1143 |
+
"epoch": 75.0,
|
1144 |
+
"learning_rate": 3.157894736842106e-05,
|
1145 |
+
"loss": 0.2038,
|
1146 |
+
"step": 150
|
1147 |
+
},
|
1148 |
+
{
|
1149 |
+
"epoch": 75.0,
|
1150 |
+
"eval_accuracy_dropoff": 0.35471914493451684,
|
1151 |
+
"eval_accuracy_undropoff": 0.9869606966129573,
|
1152 |
+
"eval_accuracy_unlabeled": NaN,
|
1153 |
+
"eval_iou_dropoff": 0.27274298452291934,
|
1154 |
+
"eval_iou_undropoff": 0.9600838477506668,
|
1155 |
+
"eval_iou_unlabeled": NaN,
|
1156 |
+
"eval_loss": 0.23954205214977264,
|
1157 |
+
"eval_mean_accuracy": 0.670839920773737,
|
1158 |
+
"eval_mean_iou": 0.6164134161367931,
|
1159 |
+
"eval_overall_accuracy": 0.9606725692749023,
|
1160 |
+
"eval_runtime": 2.833,
|
1161 |
+
"eval_samples_per_second": 7.06,
|
1162 |
+
"eval_steps_per_second": 0.706,
|
1163 |
+
"step": 150
|
1164 |
+
},
|
1165 |
+
{
|
1166 |
+
"epoch": 75.5,
|
1167 |
+
"learning_rate": 3.12280701754386e-05,
|
1168 |
+
"loss": 0.2013,
|
1169 |
+
"step": 151
|
1170 |
+
},
|
1171 |
+
{
|
1172 |
+
"epoch": 76.0,
|
1173 |
+
"learning_rate": 3.087719298245614e-05,
|
1174 |
+
"loss": 0.1863,
|
1175 |
+
"step": 152
|
1176 |
+
},
|
1177 |
+
{
|
1178 |
+
"epoch": 76.5,
|
1179 |
+
"learning_rate": 3.052631578947369e-05,
|
1180 |
+
"loss": 0.1758,
|
1181 |
+
"step": 153
|
1182 |
+
},
|
1183 |
+
{
|
1184 |
+
"epoch": 77.0,
|
1185 |
+
"learning_rate": 3.017543859649123e-05,
|
1186 |
+
"loss": 0.1888,
|
1187 |
+
"step": 154
|
1188 |
+
},
|
1189 |
+
{
|
1190 |
+
"epoch": 77.5,
|
1191 |
+
"learning_rate": 2.9824561403508775e-05,
|
1192 |
+
"loss": 0.1912,
|
1193 |
+
"step": 155
|
1194 |
+
},
|
1195 |
+
{
|
1196 |
+
"epoch": 78.0,
|
1197 |
+
"learning_rate": 2.9473684210526317e-05,
|
1198 |
+
"loss": 0.1857,
|
1199 |
+
"step": 156
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 78.5,
|
1203 |
+
"learning_rate": 2.9122807017543863e-05,
|
1204 |
+
"loss": 0.1854,
|
1205 |
+
"step": 157
|
1206 |
+
},
|
1207 |
+
{
|
1208 |
+
"epoch": 79.0,
|
1209 |
+
"learning_rate": 2.8771929824561408e-05,
|
1210 |
+
"loss": 0.1872,
|
1211 |
+
"step": 158
|
1212 |
+
},
|
1213 |
+
{
|
1214 |
+
"epoch": 79.5,
|
1215 |
+
"learning_rate": 2.842105263157895e-05,
|
1216 |
+
"loss": 0.1794,
|
1217 |
+
"step": 159
|
1218 |
+
},
|
1219 |
+
{
|
1220 |
+
"epoch": 80.0,
|
1221 |
+
"learning_rate": 2.8070175438596492e-05,
|
1222 |
+
"loss": 0.1895,
|
1223 |
+
"step": 160
|
1224 |
+
},
|
1225 |
+
{
|
1226 |
+
"epoch": 80.0,
|
1227 |
+
"eval_accuracy_dropoff": 0.3542145462051882,
|
1228 |
+
"eval_accuracy_undropoff": 0.9899924077864468,
|
1229 |
+
"eval_accuracy_unlabeled": NaN,
|
1230 |
+
"eval_iou_dropoff": 0.2878202786620049,
|
1231 |
+
"eval_iou_undropoff": 0.9630124922976974,
|
1232 |
+
"eval_iou_unlabeled": NaN,
|
1233 |
+
"eval_loss": 0.2196018397808075,
|
1234 |
+
"eval_mean_accuracy": 0.6721034769958175,
|
1235 |
+
"eval_mean_iou": 0.6254163854798511,
|
1236 |
+
"eval_overall_accuracy": 0.963557243347168,
|
1237 |
+
"eval_runtime": 2.8151,
|
1238 |
+
"eval_samples_per_second": 7.105,
|
1239 |
+
"eval_steps_per_second": 0.71,
|
1240 |
+
"step": 160
|
1241 |
+
},
|
1242 |
+
{
|
1243 |
+
"epoch": 80.5,
|
1244 |
+
"learning_rate": 2.771929824561404e-05,
|
1245 |
+
"loss": 0.1799,
|
1246 |
+
"step": 161
|
1247 |
+
},
|
1248 |
+
{
|
1249 |
+
"epoch": 81.0,
|
1250 |
+
"learning_rate": 2.7368421052631583e-05,
|
1251 |
+
"loss": 0.1709,
|
1252 |
+
"step": 162
|
1253 |
+
},
|
1254 |
+
{
|
1255 |
+
"epoch": 81.5,
|
1256 |
+
"learning_rate": 2.7017543859649125e-05,
|
1257 |
+
"loss": 0.1746,
|
1258 |
+
"step": 163
|
1259 |
+
},
|
1260 |
+
{
|
1261 |
+
"epoch": 82.0,
|
1262 |
+
"learning_rate": 2.6666666666666667e-05,
|
1263 |
+
"loss": 0.1763,
|
1264 |
+
"step": 164
|
1265 |
+
},
|
1266 |
+
{
|
1267 |
+
"epoch": 82.5,
|
1268 |
+
"learning_rate": 2.6315789473684215e-05,
|
1269 |
+
"loss": 0.1677,
|
1270 |
+
"step": 165
|
1271 |
+
},
|
1272 |
+
{
|
1273 |
+
"epoch": 83.0,
|
1274 |
+
"learning_rate": 2.5964912280701757e-05,
|
1275 |
+
"loss": 0.1722,
|
1276 |
+
"step": 166
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 83.5,
|
1280 |
+
"learning_rate": 2.56140350877193e-05,
|
1281 |
+
"loss": 0.1687,
|
1282 |
+
"step": 167
|
1283 |
+
},
|
1284 |
+
{
|
1285 |
+
"epoch": 84.0,
|
1286 |
+
"learning_rate": 2.526315789473684e-05,
|
1287 |
+
"loss": 0.1819,
|
1288 |
+
"step": 168
|
1289 |
+
},
|
1290 |
+
{
|
1291 |
+
"epoch": 84.5,
|
1292 |
+
"learning_rate": 2.491228070175439e-05,
|
1293 |
+
"loss": 0.1696,
|
1294 |
+
"step": 169
|
1295 |
+
},
|
1296 |
+
{
|
1297 |
+
"epoch": 85.0,
|
1298 |
+
"learning_rate": 2.4561403508771932e-05,
|
1299 |
+
"loss": 0.1681,
|
1300 |
+
"step": 170
|
1301 |
+
},
|
1302 |
+
{
|
1303 |
+
"epoch": 85.0,
|
1304 |
+
"eval_accuracy_dropoff": 0.3772747081355077,
|
1305 |
+
"eval_accuracy_undropoff": 0.9884451086940298,
|
1306 |
+
"eval_accuracy_unlabeled": NaN,
|
1307 |
+
"eval_iou_dropoff": 0.2979239794680084,
|
1308 |
+
"eval_iou_undropoff": 0.9624439700843075,
|
1309 |
+
"eval_iou_unlabeled": NaN,
|
1310 |
+
"eval_loss": 0.21755769848823547,
|
1311 |
+
"eval_mean_accuracy": 0.6828599084147687,
|
1312 |
+
"eval_mean_iou": 0.630183974776158,
|
1313 |
+
"eval_overall_accuracy": 0.9630331039428711,
|
1314 |
+
"eval_runtime": 2.7514,
|
1315 |
+
"eval_samples_per_second": 7.269,
|
1316 |
+
"eval_steps_per_second": 0.727,
|
1317 |
+
"step": 170
|
1318 |
+
},
|
1319 |
+
{
|
1320 |
+
"epoch": 85.5,
|
1321 |
+
"learning_rate": 2.4210526315789474e-05,
|
1322 |
+
"loss": 0.1695,
|
1323 |
+
"step": 171
|
1324 |
+
},
|
1325 |
+
{
|
1326 |
+
"epoch": 86.0,
|
1327 |
+
"learning_rate": 2.385964912280702e-05,
|
1328 |
+
"loss": 0.1627,
|
1329 |
+
"step": 172
|
1330 |
+
},
|
1331 |
+
{
|
1332 |
+
"epoch": 86.5,
|
1333 |
+
"learning_rate": 2.3508771929824565e-05,
|
1334 |
+
"loss": 0.172,
|
1335 |
+
"step": 173
|
1336 |
+
},
|
1337 |
+
{
|
1338 |
+
"epoch": 87.0,
|
1339 |
+
"learning_rate": 2.3157894736842107e-05,
|
1340 |
+
"loss": 0.1622,
|
1341 |
+
"step": 174
|
1342 |
+
},
|
1343 |
+
{
|
1344 |
+
"epoch": 87.5,
|
1345 |
+
"learning_rate": 2.2807017543859652e-05,
|
1346 |
+
"loss": 0.1768,
|
1347 |
+
"step": 175
|
1348 |
+
},
|
1349 |
+
{
|
1350 |
+
"epoch": 88.0,
|
1351 |
+
"learning_rate": 2.2456140350877194e-05,
|
1352 |
+
"loss": 0.1735,
|
1353 |
+
"step": 176
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 88.5,
|
1357 |
+
"learning_rate": 2.210526315789474e-05,
|
1358 |
+
"loss": 0.1673,
|
1359 |
+
"step": 177
|
1360 |
+
},
|
1361 |
+
{
|
1362 |
+
"epoch": 89.0,
|
1363 |
+
"learning_rate": 2.1754385964912285e-05,
|
1364 |
+
"loss": 0.1611,
|
1365 |
+
"step": 178
|
1366 |
+
},
|
1367 |
+
{
|
1368 |
+
"epoch": 89.5,
|
1369 |
+
"learning_rate": 2.1403508771929827e-05,
|
1370 |
+
"loss": 0.1662,
|
1371 |
+
"step": 179
|
1372 |
+
},
|
1373 |
+
{
|
1374 |
+
"epoch": 90.0,
|
1375 |
+
"learning_rate": 2.105263157894737e-05,
|
1376 |
+
"loss": 0.1612,
|
1377 |
+
"step": 180
|
1378 |
+
},
|
1379 |
+
{
|
1380 |
+
"epoch": 90.0,
|
1381 |
+
"eval_accuracy_dropoff": 0.38571068143764764,
|
1382 |
+
"eval_accuracy_undropoff": 0.988371674177618,
|
1383 |
+
"eval_accuracy_unlabeled": NaN,
|
1384 |
+
"eval_iou_dropoff": 0.3041790569628038,
|
1385 |
+
"eval_iou_undropoff": 0.9627155323227489,
|
1386 |
+
"eval_iou_unlabeled": NaN,
|
1387 |
+
"eval_loss": 0.21745066344738007,
|
1388 |
+
"eval_mean_accuracy": 0.6870411778076329,
|
1389 |
+
"eval_mean_iou": 0.6334472946427763,
|
1390 |
+
"eval_overall_accuracy": 0.9633134841918946,
|
1391 |
+
"eval_runtime": 3.0185,
|
1392 |
+
"eval_samples_per_second": 6.626,
|
1393 |
+
"eval_steps_per_second": 0.663,
|
1394 |
+
"step": 180
|
1395 |
+
},
|
1396 |
+
{
|
1397 |
+
"epoch": 90.5,
|
1398 |
+
"learning_rate": 2.0701754385964918e-05,
|
1399 |
+
"loss": 0.1554,
|
1400 |
+
"step": 181
|
1401 |
+
},
|
1402 |
+
{
|
1403 |
+
"epoch": 91.0,
|
1404 |
+
"learning_rate": 2.035087719298246e-05,
|
1405 |
+
"loss": 0.1623,
|
1406 |
+
"step": 182
|
1407 |
+
},
|
1408 |
+
{
|
1409 |
+
"epoch": 91.5,
|
1410 |
+
"learning_rate": 2e-05,
|
1411 |
+
"loss": 0.1614,
|
1412 |
+
"step": 183
|
1413 |
+
},
|
1414 |
+
{
|
1415 |
+
"epoch": 92.0,
|
1416 |
+
"learning_rate": 1.9649122807017544e-05,
|
1417 |
+
"loss": 0.1588,
|
1418 |
+
"step": 184
|
1419 |
+
},
|
1420 |
+
{
|
1421 |
+
"epoch": 92.5,
|
1422 |
+
"learning_rate": 1.929824561403509e-05,
|
1423 |
+
"loss": 0.1593,
|
1424 |
+
"step": 185
|
1425 |
+
},
|
1426 |
+
{
|
1427 |
+
"epoch": 93.0,
|
1428 |
+
"learning_rate": 1.894736842105263e-05,
|
1429 |
+
"loss": 0.1596,
|
1430 |
+
"step": 186
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 93.5,
|
1434 |
+
"learning_rate": 1.8596491228070176e-05,
|
1435 |
+
"loss": 0.1579,
|
1436 |
+
"step": 187
|
1437 |
+
},
|
1438 |
+
{
|
1439 |
+
"epoch": 94.0,
|
1440 |
+
"learning_rate": 1.824561403508772e-05,
|
1441 |
+
"loss": 0.1574,
|
1442 |
+
"step": 188
|
1443 |
+
},
|
1444 |
+
{
|
1445 |
+
"epoch": 94.5,
|
1446 |
+
"learning_rate": 1.7894736842105264e-05,
|
1447 |
+
"loss": 0.1535,
|
1448 |
+
"step": 189
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 95.0,
|
1452 |
+
"learning_rate": 1.754385964912281e-05,
|
1453 |
+
"loss": 0.1545,
|
1454 |
+
"step": 190
|
1455 |
+
},
|
1456 |
+
{
|
1457 |
+
"epoch": 95.0,
|
1458 |
+
"eval_accuracy_dropoff": 0.37317369664441846,
|
1459 |
+
"eval_accuracy_undropoff": 0.9900481304547268,
|
1460 |
+
"eval_accuracy_unlabeled": NaN,
|
1461 |
+
"eval_iou_dropoff": 0.3035425108767845,
|
1462 |
+
"eval_iou_undropoff": 0.9638378542796419,
|
1463 |
+
"eval_iou_unlabeled": NaN,
|
1464 |
+
"eval_loss": 0.213993102312088,
|
1465 |
+
"eval_mean_accuracy": 0.6816109135495727,
|
1466 |
+
"eval_mean_iou": 0.6336901825782132,
|
1467 |
+
"eval_overall_accuracy": 0.9643989562988281,
|
1468 |
+
"eval_runtime": 2.914,
|
1469 |
+
"eval_samples_per_second": 6.863,
|
1470 |
+
"eval_steps_per_second": 0.686,
|
1471 |
+
"step": 190
|
1472 |
+
},
|
1473 |
+
{
|
1474 |
+
"epoch": 95.5,
|
1475 |
+
"learning_rate": 1.719298245614035e-05,
|
1476 |
+
"loss": 0.1578,
|
1477 |
+
"step": 191
|
1478 |
+
},
|
1479 |
+
{
|
1480 |
+
"epoch": 96.0,
|
1481 |
+
"learning_rate": 1.6842105263157896e-05,
|
1482 |
+
"loss": 0.1544,
|
1483 |
+
"step": 192
|
1484 |
+
},
|
1485 |
+
{
|
1486 |
+
"epoch": 96.5,
|
1487 |
+
"learning_rate": 1.649122807017544e-05,
|
1488 |
+
"loss": 0.1585,
|
1489 |
+
"step": 193
|
1490 |
+
},
|
1491 |
+
{
|
1492 |
+
"epoch": 97.0,
|
1493 |
+
"learning_rate": 1.6140350877192984e-05,
|
1494 |
+
"loss": 0.1519,
|
1495 |
+
"step": 194
|
1496 |
+
},
|
1497 |
+
{
|
1498 |
+
"epoch": 97.5,
|
1499 |
+
"learning_rate": 1.578947368421053e-05,
|
1500 |
+
"loss": 0.159,
|
1501 |
+
"step": 195
|
1502 |
+
},
|
1503 |
+
{
|
1504 |
+
"epoch": 98.0,
|
1505 |
+
"learning_rate": 1.543859649122807e-05,
|
1506 |
+
"loss": 0.1506,
|
1507 |
+
"step": 196
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 98.5,
|
1511 |
+
"learning_rate": 1.5087719298245615e-05,
|
1512 |
+
"loss": 0.1484,
|
1513 |
+
"step": 197
|
1514 |
+
},
|
1515 |
+
{
|
1516 |
+
"epoch": 99.0,
|
1517 |
+
"learning_rate": 1.4736842105263159e-05,
|
1518 |
+
"loss": 0.1625,
|
1519 |
+
"step": 198
|
1520 |
+
},
|
1521 |
+
{
|
1522 |
+
"epoch": 99.5,
|
1523 |
+
"learning_rate": 1.4385964912280704e-05,
|
1524 |
+
"loss": 0.148,
|
1525 |
+
"step": 199
|
1526 |
+
},
|
1527 |
+
{
|
1528 |
+
"epoch": 100.0,
|
1529 |
+
"learning_rate": 1.4035087719298246e-05,
|
1530 |
+
"loss": 0.1551,
|
1531 |
+
"step": 200
|
1532 |
+
},
|
1533 |
+
{
|
1534 |
+
"epoch": 100.0,
|
1535 |
+
"eval_accuracy_dropoff": 0.38960985343700544,
|
1536 |
+
"eval_accuracy_undropoff": 0.9885661064880091,
|
1537 |
+
"eval_accuracy_unlabeled": NaN,
|
1538 |
+
"eval_iou_dropoff": 0.3083438313444594,
|
1539 |
+
"eval_iou_undropoff": 0.9630635987535351,
|
1540 |
+
"eval_iou_unlabeled": NaN,
|
1541 |
+
"eval_loss": 0.21336635947227478,
|
1542 |
+
"eval_mean_accuracy": 0.6890879799625073,
|
1543 |
+
"eval_mean_iou": 0.6357037150489973,
|
1544 |
+
"eval_overall_accuracy": 0.9636619567871094,
|
1545 |
+
"eval_runtime": 2.8674,
|
1546 |
+
"eval_samples_per_second": 6.975,
|
1547 |
+
"eval_steps_per_second": 0.697,
|
1548 |
+
"step": 200
|
1549 |
+
}
|
1550 |
+
],
|
1551 |
+
"max_steps": 240,
|
1552 |
+
"num_train_epochs": 120,
|
1553 |
+
"total_flos": 1.017979138473984e+17,
|
1554 |
+
"trial_name": null,
|
1555 |
+
"trial_params": null
|
1556 |
+
}
|
checkpoint-200/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8aac04d8cdad507b67b0cf9d85a115bd8b48759ff485068ff5a4f634035f8954
|
3 |
+
size 4219
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 14951629
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0f0b3c34e8f3ed984e9fe02f1d256498b7f9ad7f0931aa68c39b17e93a4d15dd
|
3 |
size 14951629
|
runs/Feb12_06-53-01_robovision.csres.utexas.edu/events.out.tfevents.1707742388.robovision.csres.utexas.edu.2756623.0
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 sha256:6593798493ddd4ee06af55693b2255aba5ef6721bff8590342083dbe40f36b04
|
3 |
+
size 51491
|