Training in progress, step 320
Browse files- checkpoint-320/config.json +82 -0
- checkpoint-320/optimizer.pt +3 -0
- checkpoint-320/pytorch_model.bin +3 -0
- checkpoint-320/rng_state.pth +3 -0
- checkpoint-320/scheduler.pt +3 -0
- checkpoint-320/trainer_state.json +2240 -0
- checkpoint-320/training_args.bin +3 -0
- pytorch_model.bin +1 -1
- runs/Feb25_17-51-35_robolidar/events.out.tfevents.1708905105.robolidar.3970122.0 +2 -2
checkpoint-320/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": "sidewalk",
|
| 33 |
+
"2": "road",
|
| 34 |
+
"3": "ELSE"
|
| 35 |
+
},
|
| 36 |
+
"image_size": 224,
|
| 37 |
+
"initializer_range": 0.02,
|
| 38 |
+
"label2id": {
|
| 39 |
+
"ELSE": 3,
|
| 40 |
+
"road": 2,
|
| 41 |
+
"sidewalk": 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-320/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ac9b19d6b7c5476275d51f94be4a1817c0cb29a832389e981074a4a0f9f9afdd
|
| 3 |
+
size 677462463
|
checkpoint-320/pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3183caaa09617f54377ac4d8f31a36bf0d553396dd4d3aec2df03bb0a245af04
|
| 3 |
+
size 338799561
|
checkpoint-320/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d07c2dcb6f158e487c5e479da2bd9d6e2c86ac740464bdfec23c2c30ce920734
|
| 3 |
+
size 14575
|
checkpoint-320/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f7c0a9aa0b6e49f585cdc81d64f8d9305508207d81141858c54566a159be4bfd
|
| 3 |
+
size 627
|
checkpoint-320/trainer_state.json
ADDED
|
@@ -0,0 +1,2240 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.021616503596305847,
|
| 3 |
+
"best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/parking-terrain/checkpoint-320",
|
| 4 |
+
"epoch": 80.0,
|
| 5 |
+
"global_step": 320,
|
| 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": 1.3152,
|
| 14 |
+
"step": 1
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.5,
|
| 18 |
+
"learning_rate": 8.333333333333333e-07,
|
| 19 |
+
"loss": 1.3189,
|
| 20 |
+
"step": 2
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.75,
|
| 24 |
+
"learning_rate": 1.25e-06,
|
| 25 |
+
"loss": 1.3046,
|
| 26 |
+
"step": 3
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 1.0,
|
| 30 |
+
"learning_rate": 1.6666666666666667e-06,
|
| 31 |
+
"loss": 1.3124,
|
| 32 |
+
"step": 4
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 1.25,
|
| 36 |
+
"learning_rate": 2.0833333333333334e-06,
|
| 37 |
+
"loss": 1.3014,
|
| 38 |
+
"step": 5
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 1.5,
|
| 42 |
+
"learning_rate": 2.5e-06,
|
| 43 |
+
"loss": 1.2884,
|
| 44 |
+
"step": 6
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 1.75,
|
| 48 |
+
"learning_rate": 2.916666666666667e-06,
|
| 49 |
+
"loss": 1.2836,
|
| 50 |
+
"step": 7
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 2.0,
|
| 54 |
+
"learning_rate": 3.3333333333333333e-06,
|
| 55 |
+
"loss": 1.266,
|
| 56 |
+
"step": 8
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 2.25,
|
| 60 |
+
"learning_rate": 3.75e-06,
|
| 61 |
+
"loss": 1.2544,
|
| 62 |
+
"step": 9
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 2.5,
|
| 66 |
+
"learning_rate": 4.166666666666667e-06,
|
| 67 |
+
"loss": 1.2427,
|
| 68 |
+
"step": 10
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 2.75,
|
| 72 |
+
"learning_rate": 4.583333333333333e-06,
|
| 73 |
+
"loss": 1.2271,
|
| 74 |
+
"step": 11
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 3.0,
|
| 78 |
+
"learning_rate": 5e-06,
|
| 79 |
+
"loss": 1.2266,
|
| 80 |
+
"step": 12
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 3.25,
|
| 84 |
+
"learning_rate": 5.416666666666667e-06,
|
| 85 |
+
"loss": 1.2002,
|
| 86 |
+
"step": 13
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 3.5,
|
| 90 |
+
"learning_rate": 5.833333333333334e-06,
|
| 91 |
+
"loss": 1.1886,
|
| 92 |
+
"step": 14
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 3.75,
|
| 96 |
+
"learning_rate": 6.25e-06,
|
| 97 |
+
"loss": 1.1605,
|
| 98 |
+
"step": 15
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 4.0,
|
| 102 |
+
"learning_rate": 6.666666666666667e-06,
|
| 103 |
+
"loss": 1.1389,
|
| 104 |
+
"step": 16
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 4.25,
|
| 108 |
+
"learning_rate": 7.083333333333334e-06,
|
| 109 |
+
"loss": 1.1115,
|
| 110 |
+
"step": 17
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 4.5,
|
| 114 |
+
"learning_rate": 7.5e-06,
|
| 115 |
+
"loss": 1.0863,
|
| 116 |
+
"step": 18
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 4.75,
|
| 120 |
+
"learning_rate": 7.916666666666667e-06,
|
| 121 |
+
"loss": 1.0763,
|
| 122 |
+
"step": 19
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 5.0,
|
| 126 |
+
"learning_rate": 8.333333333333334e-06,
|
| 127 |
+
"loss": 1.0322,
|
| 128 |
+
"step": 20
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 5.0,
|
| 132 |
+
"eval_accuracy_ELSE": 0.7236194227710022,
|
| 133 |
+
"eval_accuracy_road": 0.9371333371304893,
|
| 134 |
+
"eval_accuracy_sidewalk": 0.5361869895803999,
|
| 135 |
+
"eval_accuracy_unlabeled": NaN,
|
| 136 |
+
"eval_iou_ELSE": 0.7051860054312004,
|
| 137 |
+
"eval_iou_road": 0.6015263687048716,
|
| 138 |
+
"eval_iou_sidewalk": 0.40198458777578383,
|
| 139 |
+
"eval_iou_unlabeled": 0.0,
|
| 140 |
+
"eval_loss": 1.1061346530914307,
|
| 141 |
+
"eval_mean_accuracy": 0.7323132498272971,
|
| 142 |
+
"eval_mean_iou": 0.42717424047796393,
|
| 143 |
+
"eval_overall_accuracy": 0.7757415771484375,
|
| 144 |
+
"eval_runtime": 0.7193,
|
| 145 |
+
"eval_samples_per_second": 1.39,
|
| 146 |
+
"eval_steps_per_second": 1.39,
|
| 147 |
+
"step": 20
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 5.25,
|
| 151 |
+
"learning_rate": 8.75e-06,
|
| 152 |
+
"loss": 1.0201,
|
| 153 |
+
"step": 21
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 5.5,
|
| 157 |
+
"learning_rate": 9.166666666666666e-06,
|
| 158 |
+
"loss": 0.9859,
|
| 159 |
+
"step": 22
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 5.75,
|
| 163 |
+
"learning_rate": 9.583333333333334e-06,
|
| 164 |
+
"loss": 0.9649,
|
| 165 |
+
"step": 23
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 6.0,
|
| 169 |
+
"learning_rate": 1e-05,
|
| 170 |
+
"loss": 0.9171,
|
| 171 |
+
"step": 24
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 6.25,
|
| 175 |
+
"learning_rate": 1.0416666666666668e-05,
|
| 176 |
+
"loss": 0.8769,
|
| 177 |
+
"step": 25
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 6.5,
|
| 181 |
+
"learning_rate": 1.0833333333333334e-05,
|
| 182 |
+
"loss": 0.882,
|
| 183 |
+
"step": 26
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 6.75,
|
| 187 |
+
"learning_rate": 1.125e-05,
|
| 188 |
+
"loss": 0.8217,
|
| 189 |
+
"step": 27
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 7.0,
|
| 193 |
+
"learning_rate": 1.1666666666666668e-05,
|
| 194 |
+
"loss": 0.7833,
|
| 195 |
+
"step": 28
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 7.25,
|
| 199 |
+
"learning_rate": 1.2083333333333333e-05,
|
| 200 |
+
"loss": 0.7459,
|
| 201 |
+
"step": 29
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 7.5,
|
| 205 |
+
"learning_rate": 1.25e-05,
|
| 206 |
+
"loss": 0.7156,
|
| 207 |
+
"step": 30
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 7.75,
|
| 211 |
+
"learning_rate": 1.2916666666666668e-05,
|
| 212 |
+
"loss": 0.6706,
|
| 213 |
+
"step": 31
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 8.0,
|
| 217 |
+
"learning_rate": 1.3333333333333333e-05,
|
| 218 |
+
"loss": 0.6556,
|
| 219 |
+
"step": 32
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 8.25,
|
| 223 |
+
"learning_rate": 1.3750000000000002e-05,
|
| 224 |
+
"loss": 0.6085,
|
| 225 |
+
"step": 33
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 8.5,
|
| 229 |
+
"learning_rate": 1.4166666666666668e-05,
|
| 230 |
+
"loss": 0.5801,
|
| 231 |
+
"step": 34
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"epoch": 8.75,
|
| 235 |
+
"learning_rate": 1.4583333333333335e-05,
|
| 236 |
+
"loss": 0.5008,
|
| 237 |
+
"step": 35
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"epoch": 9.0,
|
| 241 |
+
"learning_rate": 1.5e-05,
|
| 242 |
+
"loss": 0.5359,
|
| 243 |
+
"step": 36
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"epoch": 9.25,
|
| 247 |
+
"learning_rate": 1.5416666666666668e-05,
|
| 248 |
+
"loss": 0.4526,
|
| 249 |
+
"step": 37
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 9.5,
|
| 253 |
+
"learning_rate": 1.5833333333333333e-05,
|
| 254 |
+
"loss": 0.461,
|
| 255 |
+
"step": 38
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 9.75,
|
| 259 |
+
"learning_rate": 1.6250000000000002e-05,
|
| 260 |
+
"loss": 0.3945,
|
| 261 |
+
"step": 39
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 10.0,
|
| 265 |
+
"learning_rate": 1.6666666666666667e-05,
|
| 266 |
+
"loss": 0.3821,
|
| 267 |
+
"step": 40
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 10.0,
|
| 271 |
+
"eval_accuracy_ELSE": 0.9475472637354313,
|
| 272 |
+
"eval_accuracy_road": 0.9957851569174688,
|
| 273 |
+
"eval_accuracy_sidewalk": 0.7203604618417347,
|
| 274 |
+
"eval_accuracy_unlabeled": NaN,
|
| 275 |
+
"eval_iou_ELSE": 0.9428740645022344,
|
| 276 |
+
"eval_iou_road": 0.876176157363904,
|
| 277 |
+
"eval_iou_sidewalk": 0.5966180758017493,
|
| 278 |
+
"eval_iou_unlabeled": NaN,
|
| 279 |
+
"eval_loss": 0.332696795463562,
|
| 280 |
+
"eval_mean_accuracy": 0.8878976274982117,
|
| 281 |
+
"eval_mean_iou": 0.805222765889296,
|
| 282 |
+
"eval_overall_accuracy": 0.954315185546875,
|
| 283 |
+
"eval_runtime": 0.6036,
|
| 284 |
+
"eval_samples_per_second": 1.657,
|
| 285 |
+
"eval_steps_per_second": 1.657,
|
| 286 |
+
"step": 40
|
| 287 |
+
},
|
| 288 |
+
{
|
| 289 |
+
"epoch": 10.25,
|
| 290 |
+
"learning_rate": 1.7083333333333333e-05,
|
| 291 |
+
"loss": 0.3487,
|
| 292 |
+
"step": 41
|
| 293 |
+
},
|
| 294 |
+
{
|
| 295 |
+
"epoch": 10.5,
|
| 296 |
+
"learning_rate": 1.75e-05,
|
| 297 |
+
"loss": 0.3294,
|
| 298 |
+
"step": 42
|
| 299 |
+
},
|
| 300 |
+
{
|
| 301 |
+
"epoch": 10.75,
|
| 302 |
+
"learning_rate": 1.7916666666666667e-05,
|
| 303 |
+
"loss": 0.3092,
|
| 304 |
+
"step": 43
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 11.0,
|
| 308 |
+
"learning_rate": 1.8333333333333333e-05,
|
| 309 |
+
"loss": 0.2778,
|
| 310 |
+
"step": 44
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 11.25,
|
| 314 |
+
"learning_rate": 1.8750000000000002e-05,
|
| 315 |
+
"loss": 0.2508,
|
| 316 |
+
"step": 45
|
| 317 |
+
},
|
| 318 |
+
{
|
| 319 |
+
"epoch": 11.5,
|
| 320 |
+
"learning_rate": 1.9166666666666667e-05,
|
| 321 |
+
"loss": 0.2453,
|
| 322 |
+
"step": 46
|
| 323 |
+
},
|
| 324 |
+
{
|
| 325 |
+
"epoch": 11.75,
|
| 326 |
+
"learning_rate": 1.9583333333333333e-05,
|
| 327 |
+
"loss": 0.2169,
|
| 328 |
+
"step": 47
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"epoch": 12.0,
|
| 332 |
+
"learning_rate": 2e-05,
|
| 333 |
+
"loss": 0.2321,
|
| 334 |
+
"step": 48
|
| 335 |
+
},
|
| 336 |
+
{
|
| 337 |
+
"epoch": 12.25,
|
| 338 |
+
"learning_rate": 2.0416666666666667e-05,
|
| 339 |
+
"loss": 0.2083,
|
| 340 |
+
"step": 49
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"epoch": 12.5,
|
| 344 |
+
"learning_rate": 2.0833333333333336e-05,
|
| 345 |
+
"loss": 0.1772,
|
| 346 |
+
"step": 50
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 12.75,
|
| 350 |
+
"learning_rate": 2.125e-05,
|
| 351 |
+
"loss": 0.1643,
|
| 352 |
+
"step": 51
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 13.0,
|
| 356 |
+
"learning_rate": 2.1666666666666667e-05,
|
| 357 |
+
"loss": 0.1781,
|
| 358 |
+
"step": 52
|
| 359 |
+
},
|
| 360 |
+
{
|
| 361 |
+
"epoch": 13.25,
|
| 362 |
+
"learning_rate": 2.2083333333333333e-05,
|
| 363 |
+
"loss": 0.1629,
|
| 364 |
+
"step": 53
|
| 365 |
+
},
|
| 366 |
+
{
|
| 367 |
+
"epoch": 13.5,
|
| 368 |
+
"learning_rate": 2.25e-05,
|
| 369 |
+
"loss": 0.1367,
|
| 370 |
+
"step": 54
|
| 371 |
+
},
|
| 372 |
+
{
|
| 373 |
+
"epoch": 13.75,
|
| 374 |
+
"learning_rate": 2.2916666666666667e-05,
|
| 375 |
+
"loss": 0.1678,
|
| 376 |
+
"step": 55
|
| 377 |
+
},
|
| 378 |
+
{
|
| 379 |
+
"epoch": 14.0,
|
| 380 |
+
"learning_rate": 2.3333333333333336e-05,
|
| 381 |
+
"loss": 0.1151,
|
| 382 |
+
"step": 56
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"epoch": 14.25,
|
| 386 |
+
"learning_rate": 2.375e-05,
|
| 387 |
+
"loss": 0.1134,
|
| 388 |
+
"step": 57
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 14.5,
|
| 392 |
+
"learning_rate": 2.4166666666666667e-05,
|
| 393 |
+
"loss": 0.113,
|
| 394 |
+
"step": 58
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 14.75,
|
| 398 |
+
"learning_rate": 2.4583333333333332e-05,
|
| 399 |
+
"loss": 0.1298,
|
| 400 |
+
"step": 59
|
| 401 |
+
},
|
| 402 |
+
{
|
| 403 |
+
"epoch": 15.0,
|
| 404 |
+
"learning_rate": 2.5e-05,
|
| 405 |
+
"loss": 0.1146,
|
| 406 |
+
"step": 60
|
| 407 |
+
},
|
| 408 |
+
{
|
| 409 |
+
"epoch": 15.0,
|
| 410 |
+
"eval_accuracy_ELSE": 0.9833345958639497,
|
| 411 |
+
"eval_accuracy_road": 0.9951443868542462,
|
| 412 |
+
"eval_accuracy_sidewalk": 0.7050126724866235,
|
| 413 |
+
"eval_accuracy_unlabeled": NaN,
|
| 414 |
+
"eval_iou_ELSE": 0.9793074460861975,
|
| 415 |
+
"eval_iou_road": 0.9435900897859988,
|
| 416 |
+
"eval_iou_sidewalk": 0.6242363795038025,
|
| 417 |
+
"eval_iou_unlabeled": NaN,
|
| 418 |
+
"eval_loss": 0.09062469005584717,
|
| 419 |
+
"eval_mean_accuracy": 0.8944972184016065,
|
| 420 |
+
"eval_mean_iou": 0.8490446384586662,
|
| 421 |
+
"eval_overall_accuracy": 0.9789581298828125,
|
| 422 |
+
"eval_runtime": 0.5877,
|
| 423 |
+
"eval_samples_per_second": 1.701,
|
| 424 |
+
"eval_steps_per_second": 1.701,
|
| 425 |
+
"step": 60
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 15.25,
|
| 429 |
+
"learning_rate": 2.5416666666666667e-05,
|
| 430 |
+
"loss": 0.1079,
|
| 431 |
+
"step": 61
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 15.5,
|
| 435 |
+
"learning_rate": 2.5833333333333336e-05,
|
| 436 |
+
"loss": 0.0953,
|
| 437 |
+
"step": 62
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 15.75,
|
| 441 |
+
"learning_rate": 2.625e-05,
|
| 442 |
+
"loss": 0.094,
|
| 443 |
+
"step": 63
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 16.0,
|
| 447 |
+
"learning_rate": 2.6666666666666667e-05,
|
| 448 |
+
"loss": 0.1031,
|
| 449 |
+
"step": 64
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 16.25,
|
| 453 |
+
"learning_rate": 2.7083333333333332e-05,
|
| 454 |
+
"loss": 0.0991,
|
| 455 |
+
"step": 65
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"epoch": 16.5,
|
| 459 |
+
"learning_rate": 2.7500000000000004e-05,
|
| 460 |
+
"loss": 0.09,
|
| 461 |
+
"step": 66
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 16.75,
|
| 465 |
+
"learning_rate": 2.791666666666667e-05,
|
| 466 |
+
"loss": 0.0938,
|
| 467 |
+
"step": 67
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"epoch": 17.0,
|
| 471 |
+
"learning_rate": 2.8333333333333335e-05,
|
| 472 |
+
"loss": 0.0784,
|
| 473 |
+
"step": 68
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 17.25,
|
| 477 |
+
"learning_rate": 2.8749999999999997e-05,
|
| 478 |
+
"loss": 0.074,
|
| 479 |
+
"step": 69
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 17.5,
|
| 483 |
+
"learning_rate": 2.916666666666667e-05,
|
| 484 |
+
"loss": 0.0754,
|
| 485 |
+
"step": 70
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 17.75,
|
| 489 |
+
"learning_rate": 2.9583333333333335e-05,
|
| 490 |
+
"loss": 0.0908,
|
| 491 |
+
"step": 71
|
| 492 |
+
},
|
| 493 |
+
{
|
| 494 |
+
"epoch": 18.0,
|
| 495 |
+
"learning_rate": 3e-05,
|
| 496 |
+
"loss": 0.0746,
|
| 497 |
+
"step": 72
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"epoch": 18.25,
|
| 501 |
+
"learning_rate": 3.0416666666666666e-05,
|
| 502 |
+
"loss": 0.0705,
|
| 503 |
+
"step": 73
|
| 504 |
+
},
|
| 505 |
+
{
|
| 506 |
+
"epoch": 18.5,
|
| 507 |
+
"learning_rate": 3.0833333333333335e-05,
|
| 508 |
+
"loss": 0.0786,
|
| 509 |
+
"step": 74
|
| 510 |
+
},
|
| 511 |
+
{
|
| 512 |
+
"epoch": 18.75,
|
| 513 |
+
"learning_rate": 3.125e-05,
|
| 514 |
+
"loss": 0.0759,
|
| 515 |
+
"step": 75
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 19.0,
|
| 519 |
+
"learning_rate": 3.1666666666666666e-05,
|
| 520 |
+
"loss": 0.0743,
|
| 521 |
+
"step": 76
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 19.25,
|
| 525 |
+
"learning_rate": 3.208333333333334e-05,
|
| 526 |
+
"loss": 0.0665,
|
| 527 |
+
"step": 77
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 19.5,
|
| 531 |
+
"learning_rate": 3.2500000000000004e-05,
|
| 532 |
+
"loss": 0.0642,
|
| 533 |
+
"step": 78
|
| 534 |
+
},
|
| 535 |
+
{
|
| 536 |
+
"epoch": 19.75,
|
| 537 |
+
"learning_rate": 3.291666666666667e-05,
|
| 538 |
+
"loss": 0.0707,
|
| 539 |
+
"step": 79
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 20.0,
|
| 543 |
+
"learning_rate": 3.3333333333333335e-05,
|
| 544 |
+
"loss": 0.0668,
|
| 545 |
+
"step": 80
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 20.0,
|
| 549 |
+
"eval_accuracy_ELSE": 0.9925168006752735,
|
| 550 |
+
"eval_accuracy_road": 0.9965967989975508,
|
| 551 |
+
"eval_accuracy_sidewalk": 0.6823430019712757,
|
| 552 |
+
"eval_accuracy_unlabeled": NaN,
|
| 553 |
+
"eval_iou_ELSE": 0.9843781863455368,
|
| 554 |
+
"eval_iou_road": 0.9669927325983033,
|
| 555 |
+
"eval_iou_sidewalk": 0.663653793481238,
|
| 556 |
+
"eval_iou_unlabeled": NaN,
|
| 557 |
+
"eval_loss": 0.05583948642015457,
|
| 558 |
+
"eval_mean_accuracy": 0.8904855338813666,
|
| 559 |
+
"eval_mean_iou": 0.8716749041416927,
|
| 560 |
+
"eval_overall_accuracy": 0.9852066040039062,
|
| 561 |
+
"eval_runtime": 0.5774,
|
| 562 |
+
"eval_samples_per_second": 1.732,
|
| 563 |
+
"eval_steps_per_second": 1.732,
|
| 564 |
+
"step": 80
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 20.25,
|
| 568 |
+
"learning_rate": 3.375000000000001e-05,
|
| 569 |
+
"loss": 0.0614,
|
| 570 |
+
"step": 81
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 20.5,
|
| 574 |
+
"learning_rate": 3.4166666666666666e-05,
|
| 575 |
+
"loss": 0.0692,
|
| 576 |
+
"step": 82
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 20.75,
|
| 580 |
+
"learning_rate": 3.458333333333333e-05,
|
| 581 |
+
"loss": 0.0609,
|
| 582 |
+
"step": 83
|
| 583 |
+
},
|
| 584 |
+
{
|
| 585 |
+
"epoch": 21.0,
|
| 586 |
+
"learning_rate": 3.5e-05,
|
| 587 |
+
"loss": 0.085,
|
| 588 |
+
"step": 84
|
| 589 |
+
},
|
| 590 |
+
{
|
| 591 |
+
"epoch": 21.25,
|
| 592 |
+
"learning_rate": 3.541666666666667e-05,
|
| 593 |
+
"loss": 0.0666,
|
| 594 |
+
"step": 85
|
| 595 |
+
},
|
| 596 |
+
{
|
| 597 |
+
"epoch": 21.5,
|
| 598 |
+
"learning_rate": 3.5833333333333335e-05,
|
| 599 |
+
"loss": 0.059,
|
| 600 |
+
"step": 86
|
| 601 |
+
},
|
| 602 |
+
{
|
| 603 |
+
"epoch": 21.75,
|
| 604 |
+
"learning_rate": 3.625e-05,
|
| 605 |
+
"loss": 0.0564,
|
| 606 |
+
"step": 87
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 22.0,
|
| 610 |
+
"learning_rate": 3.6666666666666666e-05,
|
| 611 |
+
"loss": 0.0598,
|
| 612 |
+
"step": 88
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 22.25,
|
| 616 |
+
"learning_rate": 3.708333333333334e-05,
|
| 617 |
+
"loss": 0.0542,
|
| 618 |
+
"step": 89
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 22.5,
|
| 622 |
+
"learning_rate": 3.7500000000000003e-05,
|
| 623 |
+
"loss": 0.0556,
|
| 624 |
+
"step": 90
|
| 625 |
+
},
|
| 626 |
+
{
|
| 627 |
+
"epoch": 22.75,
|
| 628 |
+
"learning_rate": 3.791666666666667e-05,
|
| 629 |
+
"loss": 0.0584,
|
| 630 |
+
"step": 91
|
| 631 |
+
},
|
| 632 |
+
{
|
| 633 |
+
"epoch": 23.0,
|
| 634 |
+
"learning_rate": 3.8333333333333334e-05,
|
| 635 |
+
"loss": 0.0563,
|
| 636 |
+
"step": 92
|
| 637 |
+
},
|
| 638 |
+
{
|
| 639 |
+
"epoch": 23.25,
|
| 640 |
+
"learning_rate": 3.875e-05,
|
| 641 |
+
"loss": 0.0526,
|
| 642 |
+
"step": 93
|
| 643 |
+
},
|
| 644 |
+
{
|
| 645 |
+
"epoch": 23.5,
|
| 646 |
+
"learning_rate": 3.9166666666666665e-05,
|
| 647 |
+
"loss": 0.0595,
|
| 648 |
+
"step": 94
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 23.75,
|
| 652 |
+
"learning_rate": 3.958333333333333e-05,
|
| 653 |
+
"loss": 0.0521,
|
| 654 |
+
"step": 95
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 24.0,
|
| 658 |
+
"learning_rate": 4e-05,
|
| 659 |
+
"loss": 0.0637,
|
| 660 |
+
"step": 96
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 24.25,
|
| 664 |
+
"learning_rate": 4.041666666666667e-05,
|
| 665 |
+
"loss": 0.0526,
|
| 666 |
+
"step": 97
|
| 667 |
+
},
|
| 668 |
+
{
|
| 669 |
+
"epoch": 24.5,
|
| 670 |
+
"learning_rate": 4.0833333333333334e-05,
|
| 671 |
+
"loss": 0.0589,
|
| 672 |
+
"step": 98
|
| 673 |
+
},
|
| 674 |
+
{
|
| 675 |
+
"epoch": 24.75,
|
| 676 |
+
"learning_rate": 4.125e-05,
|
| 677 |
+
"loss": 0.0513,
|
| 678 |
+
"step": 99
|
| 679 |
+
},
|
| 680 |
+
{
|
| 681 |
+
"epoch": 25.0,
|
| 682 |
+
"learning_rate": 4.166666666666667e-05,
|
| 683 |
+
"loss": 0.0491,
|
| 684 |
+
"step": 100
|
| 685 |
+
},
|
| 686 |
+
{
|
| 687 |
+
"epoch": 25.0,
|
| 688 |
+
"eval_accuracy_ELSE": 0.9903145865572954,
|
| 689 |
+
"eval_accuracy_road": 0.9915560745001993,
|
| 690 |
+
"eval_accuracy_sidewalk": 0.8296254576175726,
|
| 691 |
+
"eval_accuracy_unlabeled": NaN,
|
| 692 |
+
"eval_iou_ELSE": 0.9854569928657962,
|
| 693 |
+
"eval_iou_road": 0.9708338561490094,
|
| 694 |
+
"eval_iou_sidewalk": 0.7111647555823778,
|
| 695 |
+
"eval_iou_unlabeled": NaN,
|
| 696 |
+
"eval_loss": 0.047440506517887115,
|
| 697 |
+
"eval_mean_accuracy": 0.937165372891689,
|
| 698 |
+
"eval_mean_iou": 0.8891518681990611,
|
| 699 |
+
"eval_overall_accuracy": 0.9862937927246094,
|
| 700 |
+
"eval_runtime": 0.7221,
|
| 701 |
+
"eval_samples_per_second": 1.385,
|
| 702 |
+
"eval_steps_per_second": 1.385,
|
| 703 |
+
"step": 100
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 25.25,
|
| 707 |
+
"learning_rate": 4.208333333333334e-05,
|
| 708 |
+
"loss": 0.0548,
|
| 709 |
+
"step": 101
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 25.5,
|
| 713 |
+
"learning_rate": 4.25e-05,
|
| 714 |
+
"loss": 0.0491,
|
| 715 |
+
"step": 102
|
| 716 |
+
},
|
| 717 |
+
{
|
| 718 |
+
"epoch": 25.75,
|
| 719 |
+
"learning_rate": 4.291666666666667e-05,
|
| 720 |
+
"loss": 0.0552,
|
| 721 |
+
"step": 103
|
| 722 |
+
},
|
| 723 |
+
{
|
| 724 |
+
"epoch": 26.0,
|
| 725 |
+
"learning_rate": 4.3333333333333334e-05,
|
| 726 |
+
"loss": 0.0476,
|
| 727 |
+
"step": 104
|
| 728 |
+
},
|
| 729 |
+
{
|
| 730 |
+
"epoch": 26.25,
|
| 731 |
+
"learning_rate": 4.375e-05,
|
| 732 |
+
"loss": 0.051,
|
| 733 |
+
"step": 105
|
| 734 |
+
},
|
| 735 |
+
{
|
| 736 |
+
"epoch": 26.5,
|
| 737 |
+
"learning_rate": 4.4166666666666665e-05,
|
| 738 |
+
"loss": 0.0465,
|
| 739 |
+
"step": 106
|
| 740 |
+
},
|
| 741 |
+
{
|
| 742 |
+
"epoch": 26.75,
|
| 743 |
+
"learning_rate": 4.458333333333334e-05,
|
| 744 |
+
"loss": 0.0502,
|
| 745 |
+
"step": 107
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 27.0,
|
| 749 |
+
"learning_rate": 4.5e-05,
|
| 750 |
+
"loss": 0.0479,
|
| 751 |
+
"step": 108
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 27.25,
|
| 755 |
+
"learning_rate": 4.541666666666667e-05,
|
| 756 |
+
"loss": 0.0526,
|
| 757 |
+
"step": 109
|
| 758 |
+
},
|
| 759 |
+
{
|
| 760 |
+
"epoch": 27.5,
|
| 761 |
+
"learning_rate": 4.5833333333333334e-05,
|
| 762 |
+
"loss": 0.0471,
|
| 763 |
+
"step": 110
|
| 764 |
+
},
|
| 765 |
+
{
|
| 766 |
+
"epoch": 27.75,
|
| 767 |
+
"learning_rate": 4.6250000000000006e-05,
|
| 768 |
+
"loss": 0.0405,
|
| 769 |
+
"step": 111
|
| 770 |
+
},
|
| 771 |
+
{
|
| 772 |
+
"epoch": 28.0,
|
| 773 |
+
"learning_rate": 4.666666666666667e-05,
|
| 774 |
+
"loss": 0.0449,
|
| 775 |
+
"step": 112
|
| 776 |
+
},
|
| 777 |
+
{
|
| 778 |
+
"epoch": 28.25,
|
| 779 |
+
"learning_rate": 4.708333333333334e-05,
|
| 780 |
+
"loss": 0.0443,
|
| 781 |
+
"step": 113
|
| 782 |
+
},
|
| 783 |
+
{
|
| 784 |
+
"epoch": 28.5,
|
| 785 |
+
"learning_rate": 4.75e-05,
|
| 786 |
+
"loss": 0.0406,
|
| 787 |
+
"step": 114
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 28.75,
|
| 791 |
+
"learning_rate": 4.791666666666667e-05,
|
| 792 |
+
"loss": 0.0436,
|
| 793 |
+
"step": 115
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 29.0,
|
| 797 |
+
"learning_rate": 4.8333333333333334e-05,
|
| 798 |
+
"loss": 0.052,
|
| 799 |
+
"step": 116
|
| 800 |
+
},
|
| 801 |
+
{
|
| 802 |
+
"epoch": 29.25,
|
| 803 |
+
"learning_rate": 4.875e-05,
|
| 804 |
+
"loss": 0.0468,
|
| 805 |
+
"step": 117
|
| 806 |
+
},
|
| 807 |
+
{
|
| 808 |
+
"epoch": 29.5,
|
| 809 |
+
"learning_rate": 4.9166666666666665e-05,
|
| 810 |
+
"loss": 0.0402,
|
| 811 |
+
"step": 118
|
| 812 |
+
},
|
| 813 |
+
{
|
| 814 |
+
"epoch": 29.75,
|
| 815 |
+
"learning_rate": 4.958333333333334e-05,
|
| 816 |
+
"loss": 0.0456,
|
| 817 |
+
"step": 119
|
| 818 |
+
},
|
| 819 |
+
{
|
| 820 |
+
"epoch": 30.0,
|
| 821 |
+
"learning_rate": 5e-05,
|
| 822 |
+
"loss": 0.04,
|
| 823 |
+
"step": 120
|
| 824 |
+
},
|
| 825 |
+
{
|
| 826 |
+
"epoch": 30.0,
|
| 827 |
+
"eval_accuracy_ELSE": 0.9936638999210017,
|
| 828 |
+
"eval_accuracy_road": 0.9914136811528166,
|
| 829 |
+
"eval_accuracy_sidewalk": 0.877640101379893,
|
| 830 |
+
"eval_accuracy_unlabeled": NaN,
|
| 831 |
+
"eval_iou_ELSE": 0.9889762507404815,
|
| 832 |
+
"eval_iou_road": 0.9755362822434882,
|
| 833 |
+
"eval_iou_sidewalk": 0.8067564069376133,
|
| 834 |
+
"eval_iou_unlabeled": NaN,
|
| 835 |
+
"eval_loss": 0.03659357875585556,
|
| 836 |
+
"eval_mean_accuracy": 0.9542392274845705,
|
| 837 |
+
"eval_mean_iou": 0.9237563133071943,
|
| 838 |
+
"eval_overall_accuracy": 0.9899177551269531,
|
| 839 |
+
"eval_runtime": 0.6094,
|
| 840 |
+
"eval_samples_per_second": 1.641,
|
| 841 |
+
"eval_steps_per_second": 1.641,
|
| 842 |
+
"step": 120
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 30.25,
|
| 846 |
+
"learning_rate": 4.99780701754386e-05,
|
| 847 |
+
"loss": 0.0374,
|
| 848 |
+
"step": 121
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 30.5,
|
| 852 |
+
"learning_rate": 4.9956140350877195e-05,
|
| 853 |
+
"loss": 0.0435,
|
| 854 |
+
"step": 122
|
| 855 |
+
},
|
| 856 |
+
{
|
| 857 |
+
"epoch": 30.75,
|
| 858 |
+
"learning_rate": 4.9934210526315795e-05,
|
| 859 |
+
"loss": 0.0442,
|
| 860 |
+
"step": 123
|
| 861 |
+
},
|
| 862 |
+
{
|
| 863 |
+
"epoch": 31.0,
|
| 864 |
+
"learning_rate": 4.991228070175439e-05,
|
| 865 |
+
"loss": 0.0387,
|
| 866 |
+
"step": 124
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 31.25,
|
| 870 |
+
"learning_rate": 4.989035087719299e-05,
|
| 871 |
+
"loss": 0.0422,
|
| 872 |
+
"step": 125
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 31.5,
|
| 876 |
+
"learning_rate": 4.986842105263158e-05,
|
| 877 |
+
"loss": 0.0398,
|
| 878 |
+
"step": 126
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 31.75,
|
| 882 |
+
"learning_rate": 4.984649122807018e-05,
|
| 883 |
+
"loss": 0.0428,
|
| 884 |
+
"step": 127
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 32.0,
|
| 888 |
+
"learning_rate": 4.9824561403508773e-05,
|
| 889 |
+
"loss": 0.0375,
|
| 890 |
+
"step": 128
|
| 891 |
+
},
|
| 892 |
+
{
|
| 893 |
+
"epoch": 32.25,
|
| 894 |
+
"learning_rate": 4.980263157894737e-05,
|
| 895 |
+
"loss": 0.0447,
|
| 896 |
+
"step": 129
|
| 897 |
+
},
|
| 898 |
+
{
|
| 899 |
+
"epoch": 32.5,
|
| 900 |
+
"learning_rate": 4.9780701754385966e-05,
|
| 901 |
+
"loss": 0.0358,
|
| 902 |
+
"step": 130
|
| 903 |
+
},
|
| 904 |
+
{
|
| 905 |
+
"epoch": 32.75,
|
| 906 |
+
"learning_rate": 4.9758771929824566e-05,
|
| 907 |
+
"loss": 0.0357,
|
| 908 |
+
"step": 131
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"epoch": 33.0,
|
| 912 |
+
"learning_rate": 4.973684210526316e-05,
|
| 913 |
+
"loss": 0.0369,
|
| 914 |
+
"step": 132
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"epoch": 33.25,
|
| 918 |
+
"learning_rate": 4.971491228070176e-05,
|
| 919 |
+
"loss": 0.0333,
|
| 920 |
+
"step": 133
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 33.5,
|
| 924 |
+
"learning_rate": 4.969298245614035e-05,
|
| 925 |
+
"loss": 0.0381,
|
| 926 |
+
"step": 134
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 33.75,
|
| 930 |
+
"learning_rate": 4.967105263157895e-05,
|
| 931 |
+
"loss": 0.036,
|
| 932 |
+
"step": 135
|
| 933 |
+
},
|
| 934 |
+
{
|
| 935 |
+
"epoch": 34.0,
|
| 936 |
+
"learning_rate": 4.9649122807017544e-05,
|
| 937 |
+
"loss": 0.0396,
|
| 938 |
+
"step": 136
|
| 939 |
+
},
|
| 940 |
+
{
|
| 941 |
+
"epoch": 34.25,
|
| 942 |
+
"learning_rate": 4.9627192982456144e-05,
|
| 943 |
+
"loss": 0.0376,
|
| 944 |
+
"step": 137
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 34.5,
|
| 948 |
+
"learning_rate": 4.960526315789474e-05,
|
| 949 |
+
"loss": 0.0388,
|
| 950 |
+
"step": 138
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 34.75,
|
| 954 |
+
"learning_rate": 4.958333333333334e-05,
|
| 955 |
+
"loss": 0.0311,
|
| 956 |
+
"step": 139
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 35.0,
|
| 960 |
+
"learning_rate": 4.956140350877193e-05,
|
| 961 |
+
"loss": 0.0339,
|
| 962 |
+
"step": 140
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 35.0,
|
| 966 |
+
"eval_accuracy_ELSE": 0.9937234192214875,
|
| 967 |
+
"eval_accuracy_road": 0.9900751836874181,
|
| 968 |
+
"eval_accuracy_sidewalk": 0.9129822585187272,
|
| 969 |
+
"eval_accuracy_unlabeled": NaN,
|
| 970 |
+
"eval_iou_ELSE": 0.9891420261754726,
|
| 971 |
+
"eval_iou_road": 0.9801381449111926,
|
| 972 |
+
"eval_iou_sidewalk": 0.8095892121363466,
|
| 973 |
+
"eval_iou_unlabeled": NaN,
|
| 974 |
+
"eval_loss": 0.03316768258810043,
|
| 975 |
+
"eval_mean_accuracy": 0.9655936204758776,
|
| 976 |
+
"eval_mean_iou": 0.9262897944076706,
|
| 977 |
+
"eval_overall_accuracy": 0.9905586242675781,
|
| 978 |
+
"eval_runtime": 0.6199,
|
| 979 |
+
"eval_samples_per_second": 1.613,
|
| 980 |
+
"eval_steps_per_second": 1.613,
|
| 981 |
+
"step": 140
|
| 982 |
+
},
|
| 983 |
+
{
|
| 984 |
+
"epoch": 35.25,
|
| 985 |
+
"learning_rate": 4.953947368421053e-05,
|
| 986 |
+
"loss": 0.0351,
|
| 987 |
+
"step": 141
|
| 988 |
+
},
|
| 989 |
+
{
|
| 990 |
+
"epoch": 35.5,
|
| 991 |
+
"learning_rate": 4.951754385964912e-05,
|
| 992 |
+
"loss": 0.0318,
|
| 993 |
+
"step": 142
|
| 994 |
+
},
|
| 995 |
+
{
|
| 996 |
+
"epoch": 35.75,
|
| 997 |
+
"learning_rate": 4.949561403508772e-05,
|
| 998 |
+
"loss": 0.0354,
|
| 999 |
+
"step": 143
|
| 1000 |
+
},
|
| 1001 |
+
{
|
| 1002 |
+
"epoch": 36.0,
|
| 1003 |
+
"learning_rate": 4.9473684210526315e-05,
|
| 1004 |
+
"loss": 0.0385,
|
| 1005 |
+
"step": 144
|
| 1006 |
+
},
|
| 1007 |
+
{
|
| 1008 |
+
"epoch": 36.25,
|
| 1009 |
+
"learning_rate": 4.9451754385964915e-05,
|
| 1010 |
+
"loss": 0.0342,
|
| 1011 |
+
"step": 145
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 36.5,
|
| 1015 |
+
"learning_rate": 4.942982456140351e-05,
|
| 1016 |
+
"loss": 0.033,
|
| 1017 |
+
"step": 146
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 36.75,
|
| 1021 |
+
"learning_rate": 4.940789473684211e-05,
|
| 1022 |
+
"loss": 0.0337,
|
| 1023 |
+
"step": 147
|
| 1024 |
+
},
|
| 1025 |
+
{
|
| 1026 |
+
"epoch": 37.0,
|
| 1027 |
+
"learning_rate": 4.93859649122807e-05,
|
| 1028 |
+
"loss": 0.0324,
|
| 1029 |
+
"step": 148
|
| 1030 |
+
},
|
| 1031 |
+
{
|
| 1032 |
+
"epoch": 37.25,
|
| 1033 |
+
"learning_rate": 4.93640350877193e-05,
|
| 1034 |
+
"loss": 0.0328,
|
| 1035 |
+
"step": 149
|
| 1036 |
+
},
|
| 1037 |
+
{
|
| 1038 |
+
"epoch": 37.5,
|
| 1039 |
+
"learning_rate": 4.9342105263157894e-05,
|
| 1040 |
+
"loss": 0.0363,
|
| 1041 |
+
"step": 150
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"epoch": 37.75,
|
| 1045 |
+
"learning_rate": 4.932017543859649e-05,
|
| 1046 |
+
"loss": 0.0309,
|
| 1047 |
+
"step": 151
|
| 1048 |
+
},
|
| 1049 |
+
{
|
| 1050 |
+
"epoch": 38.0,
|
| 1051 |
+
"learning_rate": 4.9298245614035086e-05,
|
| 1052 |
+
"loss": 0.034,
|
| 1053 |
+
"step": 152
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 38.25,
|
| 1057 |
+
"learning_rate": 4.9276315789473686e-05,
|
| 1058 |
+
"loss": 0.0297,
|
| 1059 |
+
"step": 153
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 38.5,
|
| 1063 |
+
"learning_rate": 4.925438596491228e-05,
|
| 1064 |
+
"loss": 0.031,
|
| 1065 |
+
"step": 154
|
| 1066 |
+
},
|
| 1067 |
+
{
|
| 1068 |
+
"epoch": 38.75,
|
| 1069 |
+
"learning_rate": 4.923245614035088e-05,
|
| 1070 |
+
"loss": 0.0308,
|
| 1071 |
+
"step": 155
|
| 1072 |
+
},
|
| 1073 |
+
{
|
| 1074 |
+
"epoch": 39.0,
|
| 1075 |
+
"learning_rate": 4.921052631578947e-05,
|
| 1076 |
+
"loss": 0.0368,
|
| 1077 |
+
"step": 156
|
| 1078 |
+
},
|
| 1079 |
+
{
|
| 1080 |
+
"epoch": 39.25,
|
| 1081 |
+
"learning_rate": 4.918859649122807e-05,
|
| 1082 |
+
"loss": 0.032,
|
| 1083 |
+
"step": 157
|
| 1084 |
+
},
|
| 1085 |
+
{
|
| 1086 |
+
"epoch": 39.5,
|
| 1087 |
+
"learning_rate": 4.9166666666666665e-05,
|
| 1088 |
+
"loss": 0.0336,
|
| 1089 |
+
"step": 158
|
| 1090 |
+
},
|
| 1091 |
+
{
|
| 1092 |
+
"epoch": 39.75,
|
| 1093 |
+
"learning_rate": 4.9144736842105264e-05,
|
| 1094 |
+
"loss": 0.0285,
|
| 1095 |
+
"step": 159
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 40.0,
|
| 1099 |
+
"learning_rate": 4.912280701754386e-05,
|
| 1100 |
+
"loss": 0.0341,
|
| 1101 |
+
"step": 160
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 40.0,
|
| 1105 |
+
"eval_accuracy_ELSE": 0.9941238217883926,
|
| 1106 |
+
"eval_accuracy_road": 0.9888790795694025,
|
| 1107 |
+
"eval_accuracy_sidewalk": 0.9129822585187272,
|
| 1108 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1109 |
+
"eval_iou_ELSE": 0.9896685088824968,
|
| 1110 |
+
"eval_iou_road": 0.978181869401093,
|
| 1111 |
+
"eval_iou_sidewalk": 0.8118192062100914,
|
| 1112 |
+
"eval_iou_unlabeled": NaN,
|
| 1113 |
+
"eval_loss": 0.03096950612962246,
|
| 1114 |
+
"eval_mean_accuracy": 0.9653283866255075,
|
| 1115 |
+
"eval_mean_iou": 0.9265565281645604,
|
| 1116 |
+
"eval_overall_accuracy": 0.9905204772949219,
|
| 1117 |
+
"eval_runtime": 0.6028,
|
| 1118 |
+
"eval_samples_per_second": 1.659,
|
| 1119 |
+
"eval_steps_per_second": 1.659,
|
| 1120 |
+
"step": 160
|
| 1121 |
+
},
|
| 1122 |
+
{
|
| 1123 |
+
"epoch": 40.25,
|
| 1124 |
+
"learning_rate": 4.910087719298246e-05,
|
| 1125 |
+
"loss": 0.0302,
|
| 1126 |
+
"step": 161
|
| 1127 |
+
},
|
| 1128 |
+
{
|
| 1129 |
+
"epoch": 40.5,
|
| 1130 |
+
"learning_rate": 4.907894736842106e-05,
|
| 1131 |
+
"loss": 0.0324,
|
| 1132 |
+
"step": 162
|
| 1133 |
+
},
|
| 1134 |
+
{
|
| 1135 |
+
"epoch": 40.75,
|
| 1136 |
+
"learning_rate": 4.905701754385965e-05,
|
| 1137 |
+
"loss": 0.0301,
|
| 1138 |
+
"step": 163
|
| 1139 |
+
},
|
| 1140 |
+
{
|
| 1141 |
+
"epoch": 41.0,
|
| 1142 |
+
"learning_rate": 4.903508771929825e-05,
|
| 1143 |
+
"loss": 0.0294,
|
| 1144 |
+
"step": 164
|
| 1145 |
+
},
|
| 1146 |
+
{
|
| 1147 |
+
"epoch": 41.25,
|
| 1148 |
+
"learning_rate": 4.901315789473684e-05,
|
| 1149 |
+
"loss": 0.031,
|
| 1150 |
+
"step": 165
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 41.5,
|
| 1154 |
+
"learning_rate": 4.899122807017544e-05,
|
| 1155 |
+
"loss": 0.0311,
|
| 1156 |
+
"step": 166
|
| 1157 |
+
},
|
| 1158 |
+
{
|
| 1159 |
+
"epoch": 41.75,
|
| 1160 |
+
"learning_rate": 4.8969298245614035e-05,
|
| 1161 |
+
"loss": 0.0287,
|
| 1162 |
+
"step": 167
|
| 1163 |
+
},
|
| 1164 |
+
{
|
| 1165 |
+
"epoch": 42.0,
|
| 1166 |
+
"learning_rate": 4.8947368421052635e-05,
|
| 1167 |
+
"loss": 0.0281,
|
| 1168 |
+
"step": 168
|
| 1169 |
+
},
|
| 1170 |
+
{
|
| 1171 |
+
"epoch": 42.25,
|
| 1172 |
+
"learning_rate": 4.892543859649123e-05,
|
| 1173 |
+
"loss": 0.0295,
|
| 1174 |
+
"step": 169
|
| 1175 |
+
},
|
| 1176 |
+
{
|
| 1177 |
+
"epoch": 42.5,
|
| 1178 |
+
"learning_rate": 4.890350877192983e-05,
|
| 1179 |
+
"loss": 0.0336,
|
| 1180 |
+
"step": 170
|
| 1181 |
+
},
|
| 1182 |
+
{
|
| 1183 |
+
"epoch": 42.75,
|
| 1184 |
+
"learning_rate": 4.888157894736842e-05,
|
| 1185 |
+
"loss": 0.0288,
|
| 1186 |
+
"step": 171
|
| 1187 |
+
},
|
| 1188 |
+
{
|
| 1189 |
+
"epoch": 43.0,
|
| 1190 |
+
"learning_rate": 4.885964912280702e-05,
|
| 1191 |
+
"loss": 0.0327,
|
| 1192 |
+
"step": 172
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 43.25,
|
| 1196 |
+
"learning_rate": 4.8837719298245614e-05,
|
| 1197 |
+
"loss": 0.029,
|
| 1198 |
+
"step": 173
|
| 1199 |
+
},
|
| 1200 |
+
{
|
| 1201 |
+
"epoch": 43.5,
|
| 1202 |
+
"learning_rate": 4.881578947368421e-05,
|
| 1203 |
+
"loss": 0.0321,
|
| 1204 |
+
"step": 174
|
| 1205 |
+
},
|
| 1206 |
+
{
|
| 1207 |
+
"epoch": 43.75,
|
| 1208 |
+
"learning_rate": 4.8793859649122806e-05,
|
| 1209 |
+
"loss": 0.0291,
|
| 1210 |
+
"step": 175
|
| 1211 |
+
},
|
| 1212 |
+
{
|
| 1213 |
+
"epoch": 44.0,
|
| 1214 |
+
"learning_rate": 4.8771929824561406e-05,
|
| 1215 |
+
"loss": 0.0296,
|
| 1216 |
+
"step": 176
|
| 1217 |
+
},
|
| 1218 |
+
{
|
| 1219 |
+
"epoch": 44.25,
|
| 1220 |
+
"learning_rate": 4.875e-05,
|
| 1221 |
+
"loss": 0.0268,
|
| 1222 |
+
"step": 177
|
| 1223 |
+
},
|
| 1224 |
+
{
|
| 1225 |
+
"epoch": 44.5,
|
| 1226 |
+
"learning_rate": 4.87280701754386e-05,
|
| 1227 |
+
"loss": 0.0298,
|
| 1228 |
+
"step": 178
|
| 1229 |
+
},
|
| 1230 |
+
{
|
| 1231 |
+
"epoch": 44.75,
|
| 1232 |
+
"learning_rate": 4.870614035087719e-05,
|
| 1233 |
+
"loss": 0.0286,
|
| 1234 |
+
"step": 179
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 45.0,
|
| 1238 |
+
"learning_rate": 4.868421052631579e-05,
|
| 1239 |
+
"loss": 0.0295,
|
| 1240 |
+
"step": 180
|
| 1241 |
+
},
|
| 1242 |
+
{
|
| 1243 |
+
"epoch": 45.0,
|
| 1244 |
+
"eval_accuracy_ELSE": 0.9963422684428669,
|
| 1245 |
+
"eval_accuracy_road": 0.9892920202768126,
|
| 1246 |
+
"eval_accuracy_sidewalk": 0.916784004505773,
|
| 1247 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1248 |
+
"eval_iou_ELSE": 0.9912789758718332,
|
| 1249 |
+
"eval_iou_road": 0.9822428320986258,
|
| 1250 |
+
"eval_iou_sidewalk": 0.8485598853121334,
|
| 1251 |
+
"eval_iou_unlabeled": NaN,
|
| 1252 |
+
"eval_loss": 0.02526058815419674,
|
| 1253 |
+
"eval_mean_accuracy": 0.9674727644084843,
|
| 1254 |
+
"eval_mean_iou": 0.9406938977608642,
|
| 1255 |
+
"eval_overall_accuracy": 0.9922981262207031,
|
| 1256 |
+
"eval_runtime": 0.6252,
|
| 1257 |
+
"eval_samples_per_second": 1.6,
|
| 1258 |
+
"eval_steps_per_second": 1.6,
|
| 1259 |
+
"step": 180
|
| 1260 |
+
},
|
| 1261 |
+
{
|
| 1262 |
+
"epoch": 45.25,
|
| 1263 |
+
"learning_rate": 4.8662280701754385e-05,
|
| 1264 |
+
"loss": 0.0255,
|
| 1265 |
+
"step": 181
|
| 1266 |
+
},
|
| 1267 |
+
{
|
| 1268 |
+
"epoch": 45.5,
|
| 1269 |
+
"learning_rate": 4.8640350877192984e-05,
|
| 1270 |
+
"loss": 0.0291,
|
| 1271 |
+
"step": 182
|
| 1272 |
+
},
|
| 1273 |
+
{
|
| 1274 |
+
"epoch": 45.75,
|
| 1275 |
+
"learning_rate": 4.861842105263158e-05,
|
| 1276 |
+
"loss": 0.0353,
|
| 1277 |
+
"step": 183
|
| 1278 |
+
},
|
| 1279 |
+
{
|
| 1280 |
+
"epoch": 46.0,
|
| 1281 |
+
"learning_rate": 4.859649122807018e-05,
|
| 1282 |
+
"loss": 0.0296,
|
| 1283 |
+
"step": 184
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 46.25,
|
| 1287 |
+
"learning_rate": 4.857456140350877e-05,
|
| 1288 |
+
"loss": 0.0275,
|
| 1289 |
+
"step": 185
|
| 1290 |
+
},
|
| 1291 |
+
{
|
| 1292 |
+
"epoch": 46.5,
|
| 1293 |
+
"learning_rate": 4.855263157894737e-05,
|
| 1294 |
+
"loss": 0.0301,
|
| 1295 |
+
"step": 186
|
| 1296 |
+
},
|
| 1297 |
+
{
|
| 1298 |
+
"epoch": 46.75,
|
| 1299 |
+
"learning_rate": 4.853070175438596e-05,
|
| 1300 |
+
"loss": 0.0315,
|
| 1301 |
+
"step": 187
|
| 1302 |
+
},
|
| 1303 |
+
{
|
| 1304 |
+
"epoch": 47.0,
|
| 1305 |
+
"learning_rate": 4.850877192982456e-05,
|
| 1306 |
+
"loss": 0.0401,
|
| 1307 |
+
"step": 188
|
| 1308 |
+
},
|
| 1309 |
+
{
|
| 1310 |
+
"epoch": 47.25,
|
| 1311 |
+
"learning_rate": 4.8486842105263156e-05,
|
| 1312 |
+
"loss": 0.0274,
|
| 1313 |
+
"step": 189
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"epoch": 47.5,
|
| 1317 |
+
"learning_rate": 4.8464912280701755e-05,
|
| 1318 |
+
"loss": 0.028,
|
| 1319 |
+
"step": 190
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 47.75,
|
| 1323 |
+
"learning_rate": 4.844298245614035e-05,
|
| 1324 |
+
"loss": 0.0309,
|
| 1325 |
+
"step": 191
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 48.0,
|
| 1329 |
+
"learning_rate": 4.842105263157895e-05,
|
| 1330 |
+
"loss": 0.0291,
|
| 1331 |
+
"step": 192
|
| 1332 |
+
},
|
| 1333 |
+
{
|
| 1334 |
+
"epoch": 48.25,
|
| 1335 |
+
"learning_rate": 4.839912280701754e-05,
|
| 1336 |
+
"loss": 0.0273,
|
| 1337 |
+
"step": 193
|
| 1338 |
+
},
|
| 1339 |
+
{
|
| 1340 |
+
"epoch": 48.5,
|
| 1341 |
+
"learning_rate": 4.837719298245614e-05,
|
| 1342 |
+
"loss": 0.0302,
|
| 1343 |
+
"step": 194
|
| 1344 |
+
},
|
| 1345 |
+
{
|
| 1346 |
+
"epoch": 48.75,
|
| 1347 |
+
"learning_rate": 4.8355263157894734e-05,
|
| 1348 |
+
"loss": 0.0313,
|
| 1349 |
+
"step": 195
|
| 1350 |
+
},
|
| 1351 |
+
{
|
| 1352 |
+
"epoch": 49.0,
|
| 1353 |
+
"learning_rate": 4.8333333333333334e-05,
|
| 1354 |
+
"loss": 0.0268,
|
| 1355 |
+
"step": 196
|
| 1356 |
+
},
|
| 1357 |
+
{
|
| 1358 |
+
"epoch": 49.25,
|
| 1359 |
+
"learning_rate": 4.8311403508771927e-05,
|
| 1360 |
+
"loss": 0.0263,
|
| 1361 |
+
"step": 197
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 49.5,
|
| 1365 |
+
"learning_rate": 4.8289473684210526e-05,
|
| 1366 |
+
"loss": 0.0262,
|
| 1367 |
+
"step": 198
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 49.75,
|
| 1371 |
+
"learning_rate": 4.826754385964912e-05,
|
| 1372 |
+
"loss": 0.0267,
|
| 1373 |
+
"step": 199
|
| 1374 |
+
},
|
| 1375 |
+
{
|
| 1376 |
+
"epoch": 50.0,
|
| 1377 |
+
"learning_rate": 4.824561403508772e-05,
|
| 1378 |
+
"loss": 0.058,
|
| 1379 |
+
"step": 200
|
| 1380 |
+
},
|
| 1381 |
+
{
|
| 1382 |
+
"epoch": 50.0,
|
| 1383 |
+
"eval_accuracy_ELSE": 0.9955793392275477,
|
| 1384 |
+
"eval_accuracy_road": 0.990217577034801,
|
| 1385 |
+
"eval_accuracy_sidewalk": 0.9076316530554773,
|
| 1386 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1387 |
+
"eval_iou_ELSE": 0.9915928798159056,
|
| 1388 |
+
"eval_iou_road": 0.980873661791049,
|
| 1389 |
+
"eval_iou_sidewalk": 0.8211464968152866,
|
| 1390 |
+
"eval_iou_unlabeled": NaN,
|
| 1391 |
+
"eval_loss": 0.02616145648062229,
|
| 1392 |
+
"eval_mean_accuracy": 0.9644761897726086,
|
| 1393 |
+
"eval_mean_iou": 0.931204346140747,
|
| 1394 |
+
"eval_overall_accuracy": 0.99176025390625,
|
| 1395 |
+
"eval_runtime": 0.6133,
|
| 1396 |
+
"eval_samples_per_second": 1.63,
|
| 1397 |
+
"eval_steps_per_second": 1.63,
|
| 1398 |
+
"step": 200
|
| 1399 |
+
},
|
| 1400 |
+
{
|
| 1401 |
+
"epoch": 50.25,
|
| 1402 |
+
"learning_rate": 4.822368421052631e-05,
|
| 1403 |
+
"loss": 0.0327,
|
| 1404 |
+
"step": 201
|
| 1405 |
+
},
|
| 1406 |
+
{
|
| 1407 |
+
"epoch": 50.5,
|
| 1408 |
+
"learning_rate": 4.820175438596491e-05,
|
| 1409 |
+
"loss": 0.0261,
|
| 1410 |
+
"step": 202
|
| 1411 |
+
},
|
| 1412 |
+
{
|
| 1413 |
+
"epoch": 50.75,
|
| 1414 |
+
"learning_rate": 4.817982456140351e-05,
|
| 1415 |
+
"loss": 0.026,
|
| 1416 |
+
"step": 203
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 51.0,
|
| 1420 |
+
"learning_rate": 4.8157894736842105e-05,
|
| 1421 |
+
"loss": 0.0241,
|
| 1422 |
+
"step": 204
|
| 1423 |
+
},
|
| 1424 |
+
{
|
| 1425 |
+
"epoch": 51.25,
|
| 1426 |
+
"learning_rate": 4.8135964912280704e-05,
|
| 1427 |
+
"loss": 0.0252,
|
| 1428 |
+
"step": 205
|
| 1429 |
+
},
|
| 1430 |
+
{
|
| 1431 |
+
"epoch": 51.5,
|
| 1432 |
+
"learning_rate": 4.81140350877193e-05,
|
| 1433 |
+
"loss": 0.0259,
|
| 1434 |
+
"step": 206
|
| 1435 |
+
},
|
| 1436 |
+
{
|
| 1437 |
+
"epoch": 51.75,
|
| 1438 |
+
"learning_rate": 4.80921052631579e-05,
|
| 1439 |
+
"loss": 0.0293,
|
| 1440 |
+
"step": 207
|
| 1441 |
+
},
|
| 1442 |
+
{
|
| 1443 |
+
"epoch": 52.0,
|
| 1444 |
+
"learning_rate": 4.807017543859649e-05,
|
| 1445 |
+
"loss": 0.0289,
|
| 1446 |
+
"step": 208
|
| 1447 |
+
},
|
| 1448 |
+
{
|
| 1449 |
+
"epoch": 52.25,
|
| 1450 |
+
"learning_rate": 4.804824561403509e-05,
|
| 1451 |
+
"loss": 0.0263,
|
| 1452 |
+
"step": 209
|
| 1453 |
+
},
|
| 1454 |
+
{
|
| 1455 |
+
"epoch": 52.5,
|
| 1456 |
+
"learning_rate": 4.802631578947368e-05,
|
| 1457 |
+
"loss": 0.0233,
|
| 1458 |
+
"step": 210
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 52.75,
|
| 1462 |
+
"learning_rate": 4.800438596491228e-05,
|
| 1463 |
+
"loss": 0.0256,
|
| 1464 |
+
"step": 211
|
| 1465 |
+
},
|
| 1466 |
+
{
|
| 1467 |
+
"epoch": 53.0,
|
| 1468 |
+
"learning_rate": 4.7982456140350876e-05,
|
| 1469 |
+
"loss": 0.0285,
|
| 1470 |
+
"step": 212
|
| 1471 |
+
},
|
| 1472 |
+
{
|
| 1473 |
+
"epoch": 53.25,
|
| 1474 |
+
"learning_rate": 4.7960526315789475e-05,
|
| 1475 |
+
"loss": 0.0247,
|
| 1476 |
+
"step": 213
|
| 1477 |
+
},
|
| 1478 |
+
{
|
| 1479 |
+
"epoch": 53.5,
|
| 1480 |
+
"learning_rate": 4.793859649122807e-05,
|
| 1481 |
+
"loss": 0.024,
|
| 1482 |
+
"step": 214
|
| 1483 |
+
},
|
| 1484 |
+
{
|
| 1485 |
+
"epoch": 53.75,
|
| 1486 |
+
"learning_rate": 4.791666666666667e-05,
|
| 1487 |
+
"loss": 0.0237,
|
| 1488 |
+
"step": 215
|
| 1489 |
+
},
|
| 1490 |
+
{
|
| 1491 |
+
"epoch": 54.0,
|
| 1492 |
+
"learning_rate": 4.789473684210526e-05,
|
| 1493 |
+
"loss": 0.0269,
|
| 1494 |
+
"step": 216
|
| 1495 |
+
},
|
| 1496 |
+
{
|
| 1497 |
+
"epoch": 54.25,
|
| 1498 |
+
"learning_rate": 4.787280701754386e-05,
|
| 1499 |
+
"loss": 0.0226,
|
| 1500 |
+
"step": 217
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 54.5,
|
| 1504 |
+
"learning_rate": 4.785087719298246e-05,
|
| 1505 |
+
"loss": 0.0279,
|
| 1506 |
+
"step": 218
|
| 1507 |
+
},
|
| 1508 |
+
{
|
| 1509 |
+
"epoch": 54.75,
|
| 1510 |
+
"learning_rate": 4.7828947368421054e-05,
|
| 1511 |
+
"loss": 0.0241,
|
| 1512 |
+
"step": 219
|
| 1513 |
+
},
|
| 1514 |
+
{
|
| 1515 |
+
"epoch": 55.0,
|
| 1516 |
+
"learning_rate": 4.780701754385965e-05,
|
| 1517 |
+
"loss": 0.0242,
|
| 1518 |
+
"step": 220
|
| 1519 |
+
},
|
| 1520 |
+
{
|
| 1521 |
+
"epoch": 55.0,
|
| 1522 |
+
"eval_accuracy_ELSE": 0.9960013851764477,
|
| 1523 |
+
"eval_accuracy_road": 0.9922680412371134,
|
| 1524 |
+
"eval_accuracy_sidewalk": 0.9050971557307801,
|
| 1525 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1526 |
+
"eval_iou_ELSE": 0.991820812207357,
|
| 1527 |
+
"eval_iou_road": 0.9837928649075995,
|
| 1528 |
+
"eval_iou_sidewalk": 0.8376335678915819,
|
| 1529 |
+
"eval_iou_unlabeled": NaN,
|
| 1530 |
+
"eval_loss": 0.024843668565154076,
|
| 1531 |
+
"eval_mean_accuracy": 0.964455527381447,
|
| 1532 |
+
"eval_mean_iou": 0.9377490816688462,
|
| 1533 |
+
"eval_overall_accuracy": 0.9925384521484375,
|
| 1534 |
+
"eval_runtime": 0.6054,
|
| 1535 |
+
"eval_samples_per_second": 1.652,
|
| 1536 |
+
"eval_steps_per_second": 1.652,
|
| 1537 |
+
"step": 220
|
| 1538 |
+
},
|
| 1539 |
+
{
|
| 1540 |
+
"epoch": 55.25,
|
| 1541 |
+
"learning_rate": 4.7785087719298246e-05,
|
| 1542 |
+
"loss": 0.0225,
|
| 1543 |
+
"step": 221
|
| 1544 |
+
},
|
| 1545 |
+
{
|
| 1546 |
+
"epoch": 55.5,
|
| 1547 |
+
"learning_rate": 4.7763157894736846e-05,
|
| 1548 |
+
"loss": 0.0233,
|
| 1549 |
+
"step": 222
|
| 1550 |
+
},
|
| 1551 |
+
{
|
| 1552 |
+
"epoch": 55.75,
|
| 1553 |
+
"learning_rate": 4.774122807017544e-05,
|
| 1554 |
+
"loss": 0.0305,
|
| 1555 |
+
"step": 223
|
| 1556 |
+
},
|
| 1557 |
+
{
|
| 1558 |
+
"epoch": 56.0,
|
| 1559 |
+
"learning_rate": 4.771929824561404e-05,
|
| 1560 |
+
"loss": 0.0237,
|
| 1561 |
+
"step": 224
|
| 1562 |
+
},
|
| 1563 |
+
{
|
| 1564 |
+
"epoch": 56.25,
|
| 1565 |
+
"learning_rate": 4.769736842105263e-05,
|
| 1566 |
+
"loss": 0.0222,
|
| 1567 |
+
"step": 225
|
| 1568 |
+
},
|
| 1569 |
+
{
|
| 1570 |
+
"epoch": 56.5,
|
| 1571 |
+
"learning_rate": 4.767543859649123e-05,
|
| 1572 |
+
"loss": 0.0234,
|
| 1573 |
+
"step": 226
|
| 1574 |
+
},
|
| 1575 |
+
{
|
| 1576 |
+
"epoch": 56.75,
|
| 1577 |
+
"learning_rate": 4.7653508771929825e-05,
|
| 1578 |
+
"loss": 0.0232,
|
| 1579 |
+
"step": 227
|
| 1580 |
+
},
|
| 1581 |
+
{
|
| 1582 |
+
"epoch": 57.0,
|
| 1583 |
+
"learning_rate": 4.7631578947368424e-05,
|
| 1584 |
+
"loss": 0.0227,
|
| 1585 |
+
"step": 228
|
| 1586 |
+
},
|
| 1587 |
+
{
|
| 1588 |
+
"epoch": 57.25,
|
| 1589 |
+
"learning_rate": 4.760964912280702e-05,
|
| 1590 |
+
"loss": 0.0236,
|
| 1591 |
+
"step": 229
|
| 1592 |
+
},
|
| 1593 |
+
{
|
| 1594 |
+
"epoch": 57.5,
|
| 1595 |
+
"learning_rate": 4.758771929824562e-05,
|
| 1596 |
+
"loss": 0.0255,
|
| 1597 |
+
"step": 230
|
| 1598 |
+
},
|
| 1599 |
+
{
|
| 1600 |
+
"epoch": 57.75,
|
| 1601 |
+
"learning_rate": 4.756578947368422e-05,
|
| 1602 |
+
"loss": 0.0216,
|
| 1603 |
+
"step": 231
|
| 1604 |
+
},
|
| 1605 |
+
{
|
| 1606 |
+
"epoch": 58.0,
|
| 1607 |
+
"learning_rate": 4.754385964912281e-05,
|
| 1608 |
+
"loss": 0.0236,
|
| 1609 |
+
"step": 232
|
| 1610 |
+
},
|
| 1611 |
+
{
|
| 1612 |
+
"epoch": 58.25,
|
| 1613 |
+
"learning_rate": 4.752192982456141e-05,
|
| 1614 |
+
"loss": 0.0237,
|
| 1615 |
+
"step": 233
|
| 1616 |
+
},
|
| 1617 |
+
{
|
| 1618 |
+
"epoch": 58.5,
|
| 1619 |
+
"learning_rate": 4.75e-05,
|
| 1620 |
+
"loss": 0.0232,
|
| 1621 |
+
"step": 234
|
| 1622 |
+
},
|
| 1623 |
+
{
|
| 1624 |
+
"epoch": 58.75,
|
| 1625 |
+
"learning_rate": 4.74780701754386e-05,
|
| 1626 |
+
"loss": 0.0212,
|
| 1627 |
+
"step": 235
|
| 1628 |
+
},
|
| 1629 |
+
{
|
| 1630 |
+
"epoch": 59.0,
|
| 1631 |
+
"learning_rate": 4.7456140350877195e-05,
|
| 1632 |
+
"loss": 0.0423,
|
| 1633 |
+
"step": 236
|
| 1634 |
+
},
|
| 1635 |
+
{
|
| 1636 |
+
"epoch": 59.25,
|
| 1637 |
+
"learning_rate": 4.7434210526315795e-05,
|
| 1638 |
+
"loss": 0.0226,
|
| 1639 |
+
"step": 237
|
| 1640 |
+
},
|
| 1641 |
+
{
|
| 1642 |
+
"epoch": 59.5,
|
| 1643 |
+
"learning_rate": 4.741228070175439e-05,
|
| 1644 |
+
"loss": 0.023,
|
| 1645 |
+
"step": 238
|
| 1646 |
+
},
|
| 1647 |
+
{
|
| 1648 |
+
"epoch": 59.75,
|
| 1649 |
+
"learning_rate": 4.739035087719299e-05,
|
| 1650 |
+
"loss": 0.0233,
|
| 1651 |
+
"step": 239
|
| 1652 |
+
},
|
| 1653 |
+
{
|
| 1654 |
+
"epoch": 60.0,
|
| 1655 |
+
"learning_rate": 4.736842105263158e-05,
|
| 1656 |
+
"loss": 0.0217,
|
| 1657 |
+
"step": 240
|
| 1658 |
+
},
|
| 1659 |
+
{
|
| 1660 |
+
"epoch": 60.0,
|
| 1661 |
+
"eval_accuracy_ELSE": 0.9959797417944528,
|
| 1662 |
+
"eval_accuracy_road": 0.9896622429800079,
|
| 1663 |
+
"eval_accuracy_sidewalk": 0.9128414531117995,
|
| 1664 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1665 |
+
"eval_iou_ELSE": 0.9915428165114387,
|
| 1666 |
+
"eval_iou_road": 0.9828744361008585,
|
| 1667 |
+
"eval_iou_sidewalk": 0.8229246001523229,
|
| 1668 |
+
"eval_iou_unlabeled": NaN,
|
| 1669 |
+
"eval_loss": 0.02502310648560524,
|
| 1670 |
+
"eval_mean_accuracy": 0.9661611459620868,
|
| 1671 |
+
"eval_mean_iou": 0.9324472842548733,
|
| 1672 |
+
"eval_overall_accuracy": 0.992034912109375,
|
| 1673 |
+
"eval_runtime": 0.6032,
|
| 1674 |
+
"eval_samples_per_second": 1.658,
|
| 1675 |
+
"eval_steps_per_second": 1.658,
|
| 1676 |
+
"step": 240
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"epoch": 60.25,
|
| 1680 |
+
"learning_rate": 4.734649122807018e-05,
|
| 1681 |
+
"loss": 0.0313,
|
| 1682 |
+
"step": 241
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 60.5,
|
| 1686 |
+
"learning_rate": 4.7324561403508774e-05,
|
| 1687 |
+
"loss": 0.0209,
|
| 1688 |
+
"step": 242
|
| 1689 |
+
},
|
| 1690 |
+
{
|
| 1691 |
+
"epoch": 60.75,
|
| 1692 |
+
"learning_rate": 4.730263157894737e-05,
|
| 1693 |
+
"loss": 0.0228,
|
| 1694 |
+
"step": 243
|
| 1695 |
+
},
|
| 1696 |
+
{
|
| 1697 |
+
"epoch": 61.0,
|
| 1698 |
+
"learning_rate": 4.728070175438597e-05,
|
| 1699 |
+
"loss": 0.022,
|
| 1700 |
+
"step": 244
|
| 1701 |
+
},
|
| 1702 |
+
{
|
| 1703 |
+
"epoch": 61.25,
|
| 1704 |
+
"learning_rate": 4.7258771929824566e-05,
|
| 1705 |
+
"loss": 0.0235,
|
| 1706 |
+
"step": 245
|
| 1707 |
+
},
|
| 1708 |
+
{
|
| 1709 |
+
"epoch": 61.5,
|
| 1710 |
+
"learning_rate": 4.7236842105263166e-05,
|
| 1711 |
+
"loss": 0.0232,
|
| 1712 |
+
"step": 246
|
| 1713 |
+
},
|
| 1714 |
+
{
|
| 1715 |
+
"epoch": 61.75,
|
| 1716 |
+
"learning_rate": 4.721491228070176e-05,
|
| 1717 |
+
"loss": 0.0241,
|
| 1718 |
+
"step": 247
|
| 1719 |
+
},
|
| 1720 |
+
{
|
| 1721 |
+
"epoch": 62.0,
|
| 1722 |
+
"learning_rate": 4.719298245614036e-05,
|
| 1723 |
+
"loss": 0.0213,
|
| 1724 |
+
"step": 248
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 62.25,
|
| 1728 |
+
"learning_rate": 4.717105263157895e-05,
|
| 1729 |
+
"loss": 0.022,
|
| 1730 |
+
"step": 249
|
| 1731 |
+
},
|
| 1732 |
+
{
|
| 1733 |
+
"epoch": 62.5,
|
| 1734 |
+
"learning_rate": 4.714912280701755e-05,
|
| 1735 |
+
"loss": 0.0212,
|
| 1736 |
+
"step": 250
|
| 1737 |
+
},
|
| 1738 |
+
{
|
| 1739 |
+
"epoch": 62.75,
|
| 1740 |
+
"learning_rate": 4.7127192982456144e-05,
|
| 1741 |
+
"loss": 0.0221,
|
| 1742 |
+
"step": 251
|
| 1743 |
+
},
|
| 1744 |
+
{
|
| 1745 |
+
"epoch": 63.0,
|
| 1746 |
+
"learning_rate": 4.7105263157894744e-05,
|
| 1747 |
+
"loss": 0.0248,
|
| 1748 |
+
"step": 252
|
| 1749 |
+
},
|
| 1750 |
+
{
|
| 1751 |
+
"epoch": 63.25,
|
| 1752 |
+
"learning_rate": 4.708333333333334e-05,
|
| 1753 |
+
"loss": 0.0244,
|
| 1754 |
+
"step": 253
|
| 1755 |
+
},
|
| 1756 |
+
{
|
| 1757 |
+
"epoch": 63.5,
|
| 1758 |
+
"learning_rate": 4.706140350877194e-05,
|
| 1759 |
+
"loss": 0.0227,
|
| 1760 |
+
"step": 254
|
| 1761 |
+
},
|
| 1762 |
+
{
|
| 1763 |
+
"epoch": 63.75,
|
| 1764 |
+
"learning_rate": 4.703947368421053e-05,
|
| 1765 |
+
"loss": 0.0238,
|
| 1766 |
+
"step": 255
|
| 1767 |
+
},
|
| 1768 |
+
{
|
| 1769 |
+
"epoch": 64.0,
|
| 1770 |
+
"learning_rate": 4.701754385964913e-05,
|
| 1771 |
+
"loss": 0.0223,
|
| 1772 |
+
"step": 256
|
| 1773 |
+
},
|
| 1774 |
+
{
|
| 1775 |
+
"epoch": 64.25,
|
| 1776 |
+
"learning_rate": 4.699561403508772e-05,
|
| 1777 |
+
"loss": 0.0224,
|
| 1778 |
+
"step": 257
|
| 1779 |
+
},
|
| 1780 |
+
{
|
| 1781 |
+
"epoch": 64.5,
|
| 1782 |
+
"learning_rate": 4.697368421052632e-05,
|
| 1783 |
+
"loss": 0.0208,
|
| 1784 |
+
"step": 258
|
| 1785 |
+
},
|
| 1786 |
+
{
|
| 1787 |
+
"epoch": 64.75,
|
| 1788 |
+
"learning_rate": 4.6951754385964915e-05,
|
| 1789 |
+
"loss": 0.0201,
|
| 1790 |
+
"step": 259
|
| 1791 |
+
},
|
| 1792 |
+
{
|
| 1793 |
+
"epoch": 65.0,
|
| 1794 |
+
"learning_rate": 4.6929824561403515e-05,
|
| 1795 |
+
"loss": 0.0223,
|
| 1796 |
+
"step": 260
|
| 1797 |
+
},
|
| 1798 |
+
{
|
| 1799 |
+
"epoch": 65.0,
|
| 1800 |
+
"eval_accuracy_ELSE": 0.9958877574209746,
|
| 1801 |
+
"eval_accuracy_road": 0.9915703138349377,
|
| 1802 |
+
"eval_accuracy_sidewalk": 0.8920022528865108,
|
| 1803 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1804 |
+
"eval_iou_ELSE": 0.9908907863426399,
|
| 1805 |
+
"eval_iou_road": 0.9826294325990941,
|
| 1806 |
+
"eval_iou_sidewalk": 0.8281045751633986,
|
| 1807 |
+
"eval_iou_unlabeled": NaN,
|
| 1808 |
+
"eval_loss": 0.024835307151079178,
|
| 1809 |
+
"eval_mean_accuracy": 0.9598201080474743,
|
| 1810 |
+
"eval_mean_iou": 0.9338749313683775,
|
| 1811 |
+
"eval_overall_accuracy": 0.9919166564941406,
|
| 1812 |
+
"eval_runtime": 0.6119,
|
| 1813 |
+
"eval_samples_per_second": 1.634,
|
| 1814 |
+
"eval_steps_per_second": 1.634,
|
| 1815 |
+
"step": 260
|
| 1816 |
+
},
|
| 1817 |
+
{
|
| 1818 |
+
"epoch": 65.25,
|
| 1819 |
+
"learning_rate": 4.690789473684211e-05,
|
| 1820 |
+
"loss": 0.0239,
|
| 1821 |
+
"step": 261
|
| 1822 |
+
},
|
| 1823 |
+
{
|
| 1824 |
+
"epoch": 65.5,
|
| 1825 |
+
"learning_rate": 4.688596491228071e-05,
|
| 1826 |
+
"loss": 0.0228,
|
| 1827 |
+
"step": 262
|
| 1828 |
+
},
|
| 1829 |
+
{
|
| 1830 |
+
"epoch": 65.75,
|
| 1831 |
+
"learning_rate": 4.68640350877193e-05,
|
| 1832 |
+
"loss": 0.0219,
|
| 1833 |
+
"step": 263
|
| 1834 |
+
},
|
| 1835 |
+
{
|
| 1836 |
+
"epoch": 66.0,
|
| 1837 |
+
"learning_rate": 4.68421052631579e-05,
|
| 1838 |
+
"loss": 0.0197,
|
| 1839 |
+
"step": 264
|
| 1840 |
+
},
|
| 1841 |
+
{
|
| 1842 |
+
"epoch": 66.25,
|
| 1843 |
+
"learning_rate": 4.6820175438596494e-05,
|
| 1844 |
+
"loss": 0.0251,
|
| 1845 |
+
"step": 265
|
| 1846 |
+
},
|
| 1847 |
+
{
|
| 1848 |
+
"epoch": 66.5,
|
| 1849 |
+
"learning_rate": 4.679824561403509e-05,
|
| 1850 |
+
"loss": 0.0219,
|
| 1851 |
+
"step": 266
|
| 1852 |
+
},
|
| 1853 |
+
{
|
| 1854 |
+
"epoch": 66.75,
|
| 1855 |
+
"learning_rate": 4.6776315789473686e-05,
|
| 1856 |
+
"loss": 0.0187,
|
| 1857 |
+
"step": 267
|
| 1858 |
+
},
|
| 1859 |
+
{
|
| 1860 |
+
"epoch": 67.0,
|
| 1861 |
+
"learning_rate": 4.6754385964912286e-05,
|
| 1862 |
+
"loss": 0.0204,
|
| 1863 |
+
"step": 268
|
| 1864 |
+
},
|
| 1865 |
+
{
|
| 1866 |
+
"epoch": 67.25,
|
| 1867 |
+
"learning_rate": 4.673245614035088e-05,
|
| 1868 |
+
"loss": 0.0196,
|
| 1869 |
+
"step": 269
|
| 1870 |
+
},
|
| 1871 |
+
{
|
| 1872 |
+
"epoch": 67.5,
|
| 1873 |
+
"learning_rate": 4.671052631578948e-05,
|
| 1874 |
+
"loss": 0.0199,
|
| 1875 |
+
"step": 270
|
| 1876 |
+
},
|
| 1877 |
+
{
|
| 1878 |
+
"epoch": 67.75,
|
| 1879 |
+
"learning_rate": 4.668859649122807e-05,
|
| 1880 |
+
"loss": 0.0219,
|
| 1881 |
+
"step": 271
|
| 1882 |
+
},
|
| 1883 |
+
{
|
| 1884 |
+
"epoch": 68.0,
|
| 1885 |
+
"learning_rate": 4.666666666666667e-05,
|
| 1886 |
+
"loss": 0.0209,
|
| 1887 |
+
"step": 272
|
| 1888 |
+
},
|
| 1889 |
+
{
|
| 1890 |
+
"epoch": 68.25,
|
| 1891 |
+
"learning_rate": 4.6644736842105265e-05,
|
| 1892 |
+
"loss": 0.0223,
|
| 1893 |
+
"step": 273
|
| 1894 |
+
},
|
| 1895 |
+
{
|
| 1896 |
+
"epoch": 68.5,
|
| 1897 |
+
"learning_rate": 4.6622807017543864e-05,
|
| 1898 |
+
"loss": 0.0192,
|
| 1899 |
+
"step": 274
|
| 1900 |
+
},
|
| 1901 |
+
{
|
| 1902 |
+
"epoch": 68.75,
|
| 1903 |
+
"learning_rate": 4.660087719298246e-05,
|
| 1904 |
+
"loss": 0.0193,
|
| 1905 |
+
"step": 275
|
| 1906 |
+
},
|
| 1907 |
+
{
|
| 1908 |
+
"epoch": 69.0,
|
| 1909 |
+
"learning_rate": 4.657894736842106e-05,
|
| 1910 |
+
"loss": 0.0207,
|
| 1911 |
+
"step": 276
|
| 1912 |
+
},
|
| 1913 |
+
{
|
| 1914 |
+
"epoch": 69.25,
|
| 1915 |
+
"learning_rate": 4.655701754385965e-05,
|
| 1916 |
+
"loss": 0.0211,
|
| 1917 |
+
"step": 277
|
| 1918 |
+
},
|
| 1919 |
+
{
|
| 1920 |
+
"epoch": 69.5,
|
| 1921 |
+
"learning_rate": 4.653508771929825e-05,
|
| 1922 |
+
"loss": 0.0209,
|
| 1923 |
+
"step": 278
|
| 1924 |
+
},
|
| 1925 |
+
{
|
| 1926 |
+
"epoch": 69.75,
|
| 1927 |
+
"learning_rate": 4.651315789473684e-05,
|
| 1928 |
+
"loss": 0.0211,
|
| 1929 |
+
"step": 279
|
| 1930 |
+
},
|
| 1931 |
+
{
|
| 1932 |
+
"epoch": 70.0,
|
| 1933 |
+
"learning_rate": 4.649122807017544e-05,
|
| 1934 |
+
"loss": 0.0206,
|
| 1935 |
+
"step": 280
|
| 1936 |
+
},
|
| 1937 |
+
{
|
| 1938 |
+
"epoch": 70.0,
|
| 1939 |
+
"eval_accuracy_ELSE": 0.9964775395803348,
|
| 1940 |
+
"eval_accuracy_road": 0.9925813066013556,
|
| 1941 |
+
"eval_accuracy_sidewalk": 0.9038299070684315,
|
| 1942 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1943 |
+
"eval_iou_ELSE": 0.9921025270835915,
|
| 1944 |
+
"eval_iou_road": 0.9847290501214895,
|
| 1945 |
+
"eval_iou_sidewalk": 0.8466103930361383,
|
| 1946 |
+
"eval_iou_unlabeled": NaN,
|
| 1947 |
+
"eval_loss": 0.02149595506489277,
|
| 1948 |
+
"eval_mean_accuracy": 0.964296251083374,
|
| 1949 |
+
"eval_mean_iou": 0.9411473234137397,
|
| 1950 |
+
"eval_overall_accuracy": 0.9929237365722656,
|
| 1951 |
+
"eval_runtime": 0.6222,
|
| 1952 |
+
"eval_samples_per_second": 1.607,
|
| 1953 |
+
"eval_steps_per_second": 1.607,
|
| 1954 |
+
"step": 280
|
| 1955 |
+
},
|
| 1956 |
+
{
|
| 1957 |
+
"epoch": 70.25,
|
| 1958 |
+
"learning_rate": 4.6469298245614036e-05,
|
| 1959 |
+
"loss": 0.0207,
|
| 1960 |
+
"step": 281
|
| 1961 |
+
},
|
| 1962 |
+
{
|
| 1963 |
+
"epoch": 70.5,
|
| 1964 |
+
"learning_rate": 4.6447368421052635e-05,
|
| 1965 |
+
"loss": 0.0191,
|
| 1966 |
+
"step": 282
|
| 1967 |
+
},
|
| 1968 |
+
{
|
| 1969 |
+
"epoch": 70.75,
|
| 1970 |
+
"learning_rate": 4.6425438596491235e-05,
|
| 1971 |
+
"loss": 0.0212,
|
| 1972 |
+
"step": 283
|
| 1973 |
+
},
|
| 1974 |
+
{
|
| 1975 |
+
"epoch": 71.0,
|
| 1976 |
+
"learning_rate": 4.640350877192983e-05,
|
| 1977 |
+
"loss": 0.0197,
|
| 1978 |
+
"step": 284
|
| 1979 |
+
},
|
| 1980 |
+
{
|
| 1981 |
+
"epoch": 71.25,
|
| 1982 |
+
"learning_rate": 4.638157894736843e-05,
|
| 1983 |
+
"loss": 0.0189,
|
| 1984 |
+
"step": 285
|
| 1985 |
+
},
|
| 1986 |
+
{
|
| 1987 |
+
"epoch": 71.5,
|
| 1988 |
+
"learning_rate": 4.635964912280702e-05,
|
| 1989 |
+
"loss": 0.0192,
|
| 1990 |
+
"step": 286
|
| 1991 |
+
},
|
| 1992 |
+
{
|
| 1993 |
+
"epoch": 71.75,
|
| 1994 |
+
"learning_rate": 4.633771929824562e-05,
|
| 1995 |
+
"loss": 0.0176,
|
| 1996 |
+
"step": 287
|
| 1997 |
+
},
|
| 1998 |
+
{
|
| 1999 |
+
"epoch": 72.0,
|
| 2000 |
+
"learning_rate": 4.6315789473684214e-05,
|
| 2001 |
+
"loss": 0.0207,
|
| 2002 |
+
"step": 288
|
| 2003 |
+
},
|
| 2004 |
+
{
|
| 2005 |
+
"epoch": 72.25,
|
| 2006 |
+
"learning_rate": 4.629385964912281e-05,
|
| 2007 |
+
"loss": 0.0209,
|
| 2008 |
+
"step": 289
|
| 2009 |
+
},
|
| 2010 |
+
{
|
| 2011 |
+
"epoch": 72.5,
|
| 2012 |
+
"learning_rate": 4.6271929824561406e-05,
|
| 2013 |
+
"loss": 0.0198,
|
| 2014 |
+
"step": 290
|
| 2015 |
+
},
|
| 2016 |
+
{
|
| 2017 |
+
"epoch": 72.75,
|
| 2018 |
+
"learning_rate": 4.6250000000000006e-05,
|
| 2019 |
+
"loss": 0.0196,
|
| 2020 |
+
"step": 291
|
| 2021 |
+
},
|
| 2022 |
+
{
|
| 2023 |
+
"epoch": 73.0,
|
| 2024 |
+
"learning_rate": 4.62280701754386e-05,
|
| 2025 |
+
"loss": 0.0186,
|
| 2026 |
+
"step": 292
|
| 2027 |
+
},
|
| 2028 |
+
{
|
| 2029 |
+
"epoch": 73.25,
|
| 2030 |
+
"learning_rate": 4.62061403508772e-05,
|
| 2031 |
+
"loss": 0.0191,
|
| 2032 |
+
"step": 293
|
| 2033 |
+
},
|
| 2034 |
+
{
|
| 2035 |
+
"epoch": 73.5,
|
| 2036 |
+
"learning_rate": 4.618421052631579e-05,
|
| 2037 |
+
"loss": 0.0196,
|
| 2038 |
+
"step": 294
|
| 2039 |
+
},
|
| 2040 |
+
{
|
| 2041 |
+
"epoch": 73.75,
|
| 2042 |
+
"learning_rate": 4.616228070175439e-05,
|
| 2043 |
+
"loss": 0.0193,
|
| 2044 |
+
"step": 295
|
| 2045 |
+
},
|
| 2046 |
+
{
|
| 2047 |
+
"epoch": 74.0,
|
| 2048 |
+
"learning_rate": 4.6140350877192985e-05,
|
| 2049 |
+
"loss": 0.0176,
|
| 2050 |
+
"step": 296
|
| 2051 |
+
},
|
| 2052 |
+
{
|
| 2053 |
+
"epoch": 74.25,
|
| 2054 |
+
"learning_rate": 4.6118421052631584e-05,
|
| 2055 |
+
"loss": 0.0196,
|
| 2056 |
+
"step": 297
|
| 2057 |
+
},
|
| 2058 |
+
{
|
| 2059 |
+
"epoch": 74.5,
|
| 2060 |
+
"learning_rate": 4.609649122807018e-05,
|
| 2061 |
+
"loss": 0.0184,
|
| 2062 |
+
"step": 298
|
| 2063 |
+
},
|
| 2064 |
+
{
|
| 2065 |
+
"epoch": 74.75,
|
| 2066 |
+
"learning_rate": 4.607456140350878e-05,
|
| 2067 |
+
"loss": 0.0193,
|
| 2068 |
+
"step": 299
|
| 2069 |
+
},
|
| 2070 |
+
{
|
| 2071 |
+
"epoch": 75.0,
|
| 2072 |
+
"learning_rate": 4.605263157894737e-05,
|
| 2073 |
+
"loss": 0.0194,
|
| 2074 |
+
"step": 300
|
| 2075 |
+
},
|
| 2076 |
+
{
|
| 2077 |
+
"epoch": 75.0,
|
| 2078 |
+
"eval_accuracy_ELSE": 0.9953520837166016,
|
| 2079 |
+
"eval_accuracy_road": 0.9927236999487384,
|
| 2080 |
+
"eval_accuracy_sidewalk": 0.9125598422979443,
|
| 2081 |
+
"eval_accuracy_unlabeled": NaN,
|
| 2082 |
+
"eval_iou_ELSE": 0.9915268397591726,
|
| 2083 |
+
"eval_iou_road": 0.9848564042435972,
|
| 2084 |
+
"eval_iou_sidewalk": 0.828878373193503,
|
| 2085 |
+
"eval_iou_unlabeled": NaN,
|
| 2086 |
+
"eval_loss": 0.022591305896639824,
|
| 2087 |
+
"eval_mean_accuracy": 0.9668785419877614,
|
| 2088 |
+
"eval_mean_iou": 0.9350872057320908,
|
| 2089 |
+
"eval_overall_accuracy": 0.9924049377441406,
|
| 2090 |
+
"eval_runtime": 0.6107,
|
| 2091 |
+
"eval_samples_per_second": 1.637,
|
| 2092 |
+
"eval_steps_per_second": 1.637,
|
| 2093 |
+
"step": 300
|
| 2094 |
+
},
|
| 2095 |
+
{
|
| 2096 |
+
"epoch": 75.25,
|
| 2097 |
+
"learning_rate": 4.603070175438597e-05,
|
| 2098 |
+
"loss": 0.0205,
|
| 2099 |
+
"step": 301
|
| 2100 |
+
},
|
| 2101 |
+
{
|
| 2102 |
+
"epoch": 75.5,
|
| 2103 |
+
"learning_rate": 4.600877192982456e-05,
|
| 2104 |
+
"loss": 0.0206,
|
| 2105 |
+
"step": 302
|
| 2106 |
+
},
|
| 2107 |
+
{
|
| 2108 |
+
"epoch": 75.75,
|
| 2109 |
+
"learning_rate": 4.598684210526316e-05,
|
| 2110 |
+
"loss": 0.0197,
|
| 2111 |
+
"step": 303
|
| 2112 |
+
},
|
| 2113 |
+
{
|
| 2114 |
+
"epoch": 76.0,
|
| 2115 |
+
"learning_rate": 4.5964912280701756e-05,
|
| 2116 |
+
"loss": 0.0208,
|
| 2117 |
+
"step": 304
|
| 2118 |
+
},
|
| 2119 |
+
{
|
| 2120 |
+
"epoch": 76.25,
|
| 2121 |
+
"learning_rate": 4.5942982456140355e-05,
|
| 2122 |
+
"loss": 0.019,
|
| 2123 |
+
"step": 305
|
| 2124 |
+
},
|
| 2125 |
+
{
|
| 2126 |
+
"epoch": 76.5,
|
| 2127 |
+
"learning_rate": 4.592105263157895e-05,
|
| 2128 |
+
"loss": 0.0198,
|
| 2129 |
+
"step": 306
|
| 2130 |
+
},
|
| 2131 |
+
{
|
| 2132 |
+
"epoch": 76.75,
|
| 2133 |
+
"learning_rate": 4.589912280701755e-05,
|
| 2134 |
+
"loss": 0.0196,
|
| 2135 |
+
"step": 307
|
| 2136 |
+
},
|
| 2137 |
+
{
|
| 2138 |
+
"epoch": 77.0,
|
| 2139 |
+
"learning_rate": 4.587719298245614e-05,
|
| 2140 |
+
"loss": 0.0171,
|
| 2141 |
+
"step": 308
|
| 2142 |
+
},
|
| 2143 |
+
{
|
| 2144 |
+
"epoch": 77.25,
|
| 2145 |
+
"learning_rate": 4.585526315789474e-05,
|
| 2146 |
+
"loss": 0.0189,
|
| 2147 |
+
"step": 309
|
| 2148 |
+
},
|
| 2149 |
+
{
|
| 2150 |
+
"epoch": 77.5,
|
| 2151 |
+
"learning_rate": 4.5833333333333334e-05,
|
| 2152 |
+
"loss": 0.0186,
|
| 2153 |
+
"step": 310
|
| 2154 |
+
},
|
| 2155 |
+
{
|
| 2156 |
+
"epoch": 77.75,
|
| 2157 |
+
"learning_rate": 4.5811403508771934e-05,
|
| 2158 |
+
"loss": 0.0184,
|
| 2159 |
+
"step": 311
|
| 2160 |
+
},
|
| 2161 |
+
{
|
| 2162 |
+
"epoch": 78.0,
|
| 2163 |
+
"learning_rate": 4.5789473684210527e-05,
|
| 2164 |
+
"loss": 0.0154,
|
| 2165 |
+
"step": 312
|
| 2166 |
+
},
|
| 2167 |
+
{
|
| 2168 |
+
"epoch": 78.25,
|
| 2169 |
+
"learning_rate": 4.5767543859649126e-05,
|
| 2170 |
+
"loss": 0.0177,
|
| 2171 |
+
"step": 313
|
| 2172 |
+
},
|
| 2173 |
+
{
|
| 2174 |
+
"epoch": 78.5,
|
| 2175 |
+
"learning_rate": 4.574561403508772e-05,
|
| 2176 |
+
"loss": 0.0172,
|
| 2177 |
+
"step": 314
|
| 2178 |
+
},
|
| 2179 |
+
{
|
| 2180 |
+
"epoch": 78.75,
|
| 2181 |
+
"learning_rate": 4.572368421052632e-05,
|
| 2182 |
+
"loss": 0.0201,
|
| 2183 |
+
"step": 315
|
| 2184 |
+
},
|
| 2185 |
+
{
|
| 2186 |
+
"epoch": 79.0,
|
| 2187 |
+
"learning_rate": 4.570175438596491e-05,
|
| 2188 |
+
"loss": 0.0175,
|
| 2189 |
+
"step": 316
|
| 2190 |
+
},
|
| 2191 |
+
{
|
| 2192 |
+
"epoch": 79.25,
|
| 2193 |
+
"learning_rate": 4.567982456140351e-05,
|
| 2194 |
+
"loss": 0.0167,
|
| 2195 |
+
"step": 317
|
| 2196 |
+
},
|
| 2197 |
+
{
|
| 2198 |
+
"epoch": 79.5,
|
| 2199 |
+
"learning_rate": 4.5657894736842105e-05,
|
| 2200 |
+
"loss": 0.0182,
|
| 2201 |
+
"step": 318
|
| 2202 |
+
},
|
| 2203 |
+
{
|
| 2204 |
+
"epoch": 79.75,
|
| 2205 |
+
"learning_rate": 4.5635964912280705e-05,
|
| 2206 |
+
"loss": 0.0164,
|
| 2207 |
+
"step": 319
|
| 2208 |
+
},
|
| 2209 |
+
{
|
| 2210 |
+
"epoch": 80.0,
|
| 2211 |
+
"learning_rate": 4.56140350877193e-05,
|
| 2212 |
+
"loss": 0.02,
|
| 2213 |
+
"step": 320
|
| 2214 |
+
},
|
| 2215 |
+
{
|
| 2216 |
+
"epoch": 80.0,
|
| 2217 |
+
"eval_accuracy_ELSE": 0.9966560974817925,
|
| 2218 |
+
"eval_accuracy_road": 0.9917981431907501,
|
| 2219 |
+
"eval_accuracy_sidewalk": 0.8993241340467474,
|
| 2220 |
+
"eval_accuracy_unlabeled": NaN,
|
| 2221 |
+
"eval_iou_ELSE": 0.9916873048347152,
|
| 2222 |
+
"eval_iou_road": 0.9854137487090248,
|
| 2223 |
+
"eval_iou_sidewalk": 0.8370904325032765,
|
| 2224 |
+
"eval_iou_unlabeled": NaN,
|
| 2225 |
+
"eval_loss": 0.021616503596305847,
|
| 2226 |
+
"eval_mean_accuracy": 0.9625927915730967,
|
| 2227 |
+
"eval_mean_iou": 0.9380638286823388,
|
| 2228 |
+
"eval_overall_accuracy": 0.9927177429199219,
|
| 2229 |
+
"eval_runtime": 0.6134,
|
| 2230 |
+
"eval_samples_per_second": 1.63,
|
| 2231 |
+
"eval_steps_per_second": 1.63,
|
| 2232 |
+
"step": 320
|
| 2233 |
+
}
|
| 2234 |
+
],
|
| 2235 |
+
"max_steps": 2400,
|
| 2236 |
+
"num_train_epochs": 600,
|
| 2237 |
+
"total_flos": 2.0118469928288256e+18,
|
| 2238 |
+
"trial_name": null,
|
| 2239 |
+
"trial_params": null
|
| 2240 |
+
}
|
checkpoint-320/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ee4b955db787df2384cde83a03de4a1ef67ae69610ec934679f1038353752c35
|
| 3 |
+
size 4091
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 338799561
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3183caaa09617f54377ac4d8f31a36bf0d553396dd4d3aec2df03bb0a245af04
|
| 3 |
size 338799561
|
runs/Feb25_17-51-35_robolidar/events.out.tfevents.1708905105.robolidar.3970122.0
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 sha256:078e16c22181ff0e5129c85c17cd0cc743c983b97a83381b701f8bb6f4683d10
|
| 3 |
+
size 68773
|