Training in progress, step 160
Browse files- checkpoint-160/config.json +80 -0
- checkpoint-160/optimizer.pt +3 -0
- checkpoint-160/pytorch_model.bin +3 -0
- checkpoint-160/rng_state.pth +3 -0
- checkpoint-160/scheduler.pt +3 -0
- checkpoint-160/trainer_state.json +1248 -0
- checkpoint-160/training_args.bin +3 -0
- pytorch_model.bin +1 -1
- runs/Feb12_07-24-24_robolidar/events.out.tfevents.1707744272.robolidar.4127916.0 +2 -2
checkpoint-160/config.json
ADDED
|
@@ -0,0 +1,80 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "nvidia/mit-b5",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"SegformerForSemanticSegmentation"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.0,
|
| 7 |
+
"classifier_dropout_prob": 0.1,
|
| 8 |
+
"decoder_hidden_size": 768,
|
| 9 |
+
"depths": [
|
| 10 |
+
3,
|
| 11 |
+
6,
|
| 12 |
+
40,
|
| 13 |
+
3
|
| 14 |
+
],
|
| 15 |
+
"downsampling_rates": [
|
| 16 |
+
1,
|
| 17 |
+
4,
|
| 18 |
+
8,
|
| 19 |
+
16
|
| 20 |
+
],
|
| 21 |
+
"drop_path_rate": 0.1,
|
| 22 |
+
"hidden_act": "gelu",
|
| 23 |
+
"hidden_dropout_prob": 0.0,
|
| 24 |
+
"hidden_sizes": [
|
| 25 |
+
64,
|
| 26 |
+
128,
|
| 27 |
+
320,
|
| 28 |
+
512
|
| 29 |
+
],
|
| 30 |
+
"id2label": {
|
| 31 |
+
"0": "unlabeled",
|
| 32 |
+
"1": "dropoff",
|
| 33 |
+
"2": "undropoff"
|
| 34 |
+
},
|
| 35 |
+
"image_size": 224,
|
| 36 |
+
"initializer_range": 0.02,
|
| 37 |
+
"label2id": {
|
| 38 |
+
"dropoff": 1,
|
| 39 |
+
"undropoff": 2,
|
| 40 |
+
"unlabeled": 0
|
| 41 |
+
},
|
| 42 |
+
"layer_norm_eps": 1e-06,
|
| 43 |
+
"mlp_ratios": [
|
| 44 |
+
4,
|
| 45 |
+
4,
|
| 46 |
+
4,
|
| 47 |
+
4
|
| 48 |
+
],
|
| 49 |
+
"model_type": "segformer",
|
| 50 |
+
"num_attention_heads": [
|
| 51 |
+
1,
|
| 52 |
+
2,
|
| 53 |
+
5,
|
| 54 |
+
8
|
| 55 |
+
],
|
| 56 |
+
"num_channels": 6,
|
| 57 |
+
"num_encoder_blocks": 4,
|
| 58 |
+
"patch_sizes": [
|
| 59 |
+
7,
|
| 60 |
+
3,
|
| 61 |
+
3,
|
| 62 |
+
3
|
| 63 |
+
],
|
| 64 |
+
"reshape_last_stage": true,
|
| 65 |
+
"semantic_loss_ignore_index": 255,
|
| 66 |
+
"sr_ratios": [
|
| 67 |
+
8,
|
| 68 |
+
4,
|
| 69 |
+
2,
|
| 70 |
+
1
|
| 71 |
+
],
|
| 72 |
+
"strides": [
|
| 73 |
+
4,
|
| 74 |
+
2,
|
| 75 |
+
2,
|
| 76 |
+
2
|
| 77 |
+
],
|
| 78 |
+
"torch_dtype": "float32",
|
| 79 |
+
"transformers_version": "4.30.2"
|
| 80 |
+
}
|
checkpoint-160/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:34347d001c6253e08acb8814f07e4400f1f7cb89e1a948503cdd2ca1d7392dae
|
| 3 |
+
size 677530431
|
checkpoint-160/pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4120bd3b5d5100f3aaade8b7c37296a331db272ce613fd4fd7c9fbd8a0aefce5
|
| 3 |
+
size 338834121
|
checkpoint-160/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5dffed0f74d5b5c40b3be280140ebe046e9ed4f4b539c2779c2a8dc93c9133b9
|
| 3 |
+
size 14575
|
checkpoint-160/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eaae55a5584446e158ccd8142e693d1ffcbe7a2147e9ae8729d24d010ed34fc2
|
| 3 |
+
size 627
|
checkpoint-160/trainer_state.json
ADDED
|
@@ -0,0 +1,1248 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.15396572649478912,
|
| 3 |
+
"best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/dropoff-utcustom-train-SF-RGBD-b5_6/checkpoint-160",
|
| 4 |
+
"epoch": 80.0,
|
| 5 |
+
"global_step": 160,
|
| 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": 1.6666666666666667e-06,
|
| 13 |
+
"loss": 1.2935,
|
| 14 |
+
"step": 1
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 1.0,
|
| 18 |
+
"learning_rate": 3.3333333333333333e-06,
|
| 19 |
+
"loss": 1.3048,
|
| 20 |
+
"step": 2
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 1.5,
|
| 24 |
+
"learning_rate": 5e-06,
|
| 25 |
+
"loss": 1.2961,
|
| 26 |
+
"step": 3
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 2.0,
|
| 30 |
+
"learning_rate": 6.666666666666667e-06,
|
| 31 |
+
"loss": 1.2755,
|
| 32 |
+
"step": 4
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 2.5,
|
| 36 |
+
"learning_rate": 8.333333333333334e-06,
|
| 37 |
+
"loss": 1.2586,
|
| 38 |
+
"step": 5
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 3.0,
|
| 42 |
+
"learning_rate": 1e-05,
|
| 43 |
+
"loss": 1.246,
|
| 44 |
+
"step": 6
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 3.5,
|
| 48 |
+
"learning_rate": 1.1666666666666668e-05,
|
| 49 |
+
"loss": 1.2275,
|
| 50 |
+
"step": 7
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 4.0,
|
| 54 |
+
"learning_rate": 1.3333333333333333e-05,
|
| 55 |
+
"loss": 1.2057,
|
| 56 |
+
"step": 8
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 4.5,
|
| 60 |
+
"learning_rate": 1.5000000000000002e-05,
|
| 61 |
+
"loss": 1.1914,
|
| 62 |
+
"step": 9
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 5.0,
|
| 66 |
+
"learning_rate": 1.6666666666666667e-05,
|
| 67 |
+
"loss": 1.159,
|
| 68 |
+
"step": 10
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 5.0,
|
| 72 |
+
"eval_accuracy_dropoff": 0.5030895204018441,
|
| 73 |
+
"eval_accuracy_undropoff": 0.6320608332329993,
|
| 74 |
+
"eval_accuracy_unlabeled": NaN,
|
| 75 |
+
"eval_iou_dropoff": 0.06443018550460354,
|
| 76 |
+
"eval_iou_undropoff": 0.6203390578678918,
|
| 77 |
+
"eval_iou_unlabeled": 0.0,
|
| 78 |
+
"eval_loss": 1.003960132598877,
|
| 79 |
+
"eval_mean_accuracy": 0.5675751768174218,
|
| 80 |
+
"eval_mean_iou": 0.22825641445749845,
|
| 81 |
+
"eval_overall_accuracy": 0.6266983032226563,
|
| 82 |
+
"eval_runtime": 2.8797,
|
| 83 |
+
"eval_samples_per_second": 6.945,
|
| 84 |
+
"eval_steps_per_second": 0.695,
|
| 85 |
+
"step": 10
|
| 86 |
+
},
|
| 87 |
+
{
|
| 88 |
+
"epoch": 5.5,
|
| 89 |
+
"learning_rate": 1.8333333333333333e-05,
|
| 90 |
+
"loss": 1.138,
|
| 91 |
+
"step": 11
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"epoch": 6.0,
|
| 95 |
+
"learning_rate": 2e-05,
|
| 96 |
+
"loss": 1.1,
|
| 97 |
+
"step": 12
|
| 98 |
+
},
|
| 99 |
+
{
|
| 100 |
+
"epoch": 6.5,
|
| 101 |
+
"learning_rate": 1.9912280701754387e-05,
|
| 102 |
+
"loss": 1.0765,
|
| 103 |
+
"step": 13
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"epoch": 7.0,
|
| 107 |
+
"learning_rate": 1.9824561403508773e-05,
|
| 108 |
+
"loss": 1.0466,
|
| 109 |
+
"step": 14
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"epoch": 7.5,
|
| 113 |
+
"learning_rate": 1.9736842105263158e-05,
|
| 114 |
+
"loss": 1.0032,
|
| 115 |
+
"step": 15
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 8.0,
|
| 119 |
+
"learning_rate": 1.9649122807017544e-05,
|
| 120 |
+
"loss": 0.9971,
|
| 121 |
+
"step": 16
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 8.5,
|
| 125 |
+
"learning_rate": 1.9561403508771933e-05,
|
| 126 |
+
"loss": 0.9459,
|
| 127 |
+
"step": 17
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"epoch": 9.0,
|
| 131 |
+
"learning_rate": 1.9473684210526318e-05,
|
| 132 |
+
"loss": 0.9112,
|
| 133 |
+
"step": 18
|
| 134 |
+
},
|
| 135 |
+
{
|
| 136 |
+
"epoch": 9.5,
|
| 137 |
+
"learning_rate": 1.9385964912280704e-05,
|
| 138 |
+
"loss": 0.8852,
|
| 139 |
+
"step": 19
|
| 140 |
+
},
|
| 141 |
+
{
|
| 142 |
+
"epoch": 10.0,
|
| 143 |
+
"learning_rate": 1.929824561403509e-05,
|
| 144 |
+
"loss": 0.8345,
|
| 145 |
+
"step": 20
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"epoch": 10.0,
|
| 149 |
+
"eval_accuracy_dropoff": 0.11338333448014863,
|
| 150 |
+
"eval_accuracy_undropoff": 0.9505815555977898,
|
| 151 |
+
"eval_accuracy_unlabeled": NaN,
|
| 152 |
+
"eval_iou_dropoff": 0.05546940396815957,
|
| 153 |
+
"eval_iou_undropoff": 0.9154202339604258,
|
| 154 |
+
"eval_iou_unlabeled": 0.0,
|
| 155 |
+
"eval_loss": 0.747998058795929,
|
| 156 |
+
"eval_mean_accuracy": 0.5319824450389692,
|
| 157 |
+
"eval_mean_iou": 0.32362987930952847,
|
| 158 |
+
"eval_overall_accuracy": 0.915771484375,
|
| 159 |
+
"eval_runtime": 2.8511,
|
| 160 |
+
"eval_samples_per_second": 7.015,
|
| 161 |
+
"eval_steps_per_second": 0.701,
|
| 162 |
+
"step": 20
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"epoch": 10.5,
|
| 166 |
+
"learning_rate": 1.9210526315789474e-05,
|
| 167 |
+
"loss": 0.8052,
|
| 168 |
+
"step": 21
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"epoch": 11.0,
|
| 172 |
+
"learning_rate": 1.912280701754386e-05,
|
| 173 |
+
"loss": 0.7648,
|
| 174 |
+
"step": 22
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 11.5,
|
| 178 |
+
"learning_rate": 1.9035087719298245e-05,
|
| 179 |
+
"loss": 0.7405,
|
| 180 |
+
"step": 23
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"epoch": 12.0,
|
| 184 |
+
"learning_rate": 1.894736842105263e-05,
|
| 185 |
+
"loss": 0.7066,
|
| 186 |
+
"step": 24
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 12.5,
|
| 190 |
+
"learning_rate": 1.885964912280702e-05,
|
| 191 |
+
"loss": 0.6675,
|
| 192 |
+
"step": 25
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 13.0,
|
| 196 |
+
"learning_rate": 1.8771929824561405e-05,
|
| 197 |
+
"loss": 0.6358,
|
| 198 |
+
"step": 26
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 13.5,
|
| 202 |
+
"learning_rate": 1.868421052631579e-05,
|
| 203 |
+
"loss": 0.6127,
|
| 204 |
+
"step": 27
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"epoch": 14.0,
|
| 208 |
+
"learning_rate": 1.8596491228070176e-05,
|
| 209 |
+
"loss": 0.5935,
|
| 210 |
+
"step": 28
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"epoch": 14.5,
|
| 214 |
+
"learning_rate": 1.8508771929824562e-05,
|
| 215 |
+
"loss": 0.5549,
|
| 216 |
+
"step": 29
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 15.0,
|
| 220 |
+
"learning_rate": 1.8421052631578947e-05,
|
| 221 |
+
"loss": 0.5406,
|
| 222 |
+
"step": 30
|
| 223 |
+
},
|
| 224 |
+
{
|
| 225 |
+
"epoch": 15.0,
|
| 226 |
+
"eval_accuracy_dropoff": 0.017945365719397234,
|
| 227 |
+
"eval_accuracy_undropoff": 0.9917655826949273,
|
| 228 |
+
"eval_accuracy_unlabeled": NaN,
|
| 229 |
+
"eval_iou_dropoff": 0.015735932390196418,
|
| 230 |
+
"eval_iou_undropoff": 0.9512822485309885,
|
| 231 |
+
"eval_iou_unlabeled": 0.0,
|
| 232 |
+
"eval_loss": 0.5476881265640259,
|
| 233 |
+
"eval_mean_accuracy": 0.5048554742071623,
|
| 234 |
+
"eval_mean_iou": 0.322339393640395,
|
| 235 |
+
"eval_overall_accuracy": 0.9512748718261719,
|
| 236 |
+
"eval_runtime": 5.6484,
|
| 237 |
+
"eval_samples_per_second": 3.541,
|
| 238 |
+
"eval_steps_per_second": 0.354,
|
| 239 |
+
"step": 30
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 15.5,
|
| 243 |
+
"learning_rate": 1.8333333333333333e-05,
|
| 244 |
+
"loss": 0.53,
|
| 245 |
+
"step": 31
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"epoch": 16.0,
|
| 249 |
+
"learning_rate": 1.824561403508772e-05,
|
| 250 |
+
"loss": 0.5004,
|
| 251 |
+
"step": 32
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 16.5,
|
| 255 |
+
"learning_rate": 1.8157894736842107e-05,
|
| 256 |
+
"loss": 0.4965,
|
| 257 |
+
"step": 33
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 17.0,
|
| 261 |
+
"learning_rate": 1.8070175438596493e-05,
|
| 262 |
+
"loss": 0.4653,
|
| 263 |
+
"step": 34
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 17.5,
|
| 267 |
+
"learning_rate": 1.7982456140350878e-05,
|
| 268 |
+
"loss": 0.4434,
|
| 269 |
+
"step": 35
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 18.0,
|
| 273 |
+
"learning_rate": 1.7894736842105264e-05,
|
| 274 |
+
"loss": 0.4414,
|
| 275 |
+
"step": 36
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 18.5,
|
| 279 |
+
"learning_rate": 1.780701754385965e-05,
|
| 280 |
+
"loss": 0.3915,
|
| 281 |
+
"step": 37
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 19.0,
|
| 285 |
+
"learning_rate": 1.7719298245614035e-05,
|
| 286 |
+
"loss": 0.4001,
|
| 287 |
+
"step": 38
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"epoch": 19.5,
|
| 291 |
+
"learning_rate": 1.763157894736842e-05,
|
| 292 |
+
"loss": 0.4204,
|
| 293 |
+
"step": 39
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"epoch": 20.0,
|
| 297 |
+
"learning_rate": 1.754385964912281e-05,
|
| 298 |
+
"loss": 0.3695,
|
| 299 |
+
"step": 40
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"epoch": 20.0,
|
| 303 |
+
"eval_accuracy_dropoff": 0.014605839583476686,
|
| 304 |
+
"eval_accuracy_undropoff": 0.9925813227566402,
|
| 305 |
+
"eval_accuracy_unlabeled": NaN,
|
| 306 |
+
"eval_iou_dropoff": 0.012491320023381993,
|
| 307 |
+
"eval_iou_undropoff": 0.951889892701647,
|
| 308 |
+
"eval_iou_unlabeled": 0.0,
|
| 309 |
+
"eval_loss": 0.45899271965026855,
|
| 310 |
+
"eval_mean_accuracy": 0.5035935811700585,
|
| 311 |
+
"eval_mean_iou": 0.3214604042416764,
|
| 312 |
+
"eval_overall_accuracy": 0.9519178390502929,
|
| 313 |
+
"eval_runtime": 3.3683,
|
| 314 |
+
"eval_samples_per_second": 5.938,
|
| 315 |
+
"eval_steps_per_second": 0.594,
|
| 316 |
+
"step": 40
|
| 317 |
+
},
|
| 318 |
+
{
|
| 319 |
+
"epoch": 20.5,
|
| 320 |
+
"learning_rate": 1.7456140350877195e-05,
|
| 321 |
+
"loss": 0.3526,
|
| 322 |
+
"step": 41
|
| 323 |
+
},
|
| 324 |
+
{
|
| 325 |
+
"epoch": 21.0,
|
| 326 |
+
"learning_rate": 1.736842105263158e-05,
|
| 327 |
+
"loss": 0.3346,
|
| 328 |
+
"step": 42
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"epoch": 21.5,
|
| 332 |
+
"learning_rate": 1.7280701754385966e-05,
|
| 333 |
+
"loss": 0.3645,
|
| 334 |
+
"step": 43
|
| 335 |
+
},
|
| 336 |
+
{
|
| 337 |
+
"epoch": 22.0,
|
| 338 |
+
"learning_rate": 1.719298245614035e-05,
|
| 339 |
+
"loss": 0.3017,
|
| 340 |
+
"step": 44
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"epoch": 22.5,
|
| 344 |
+
"learning_rate": 1.7105263157894737e-05,
|
| 345 |
+
"loss": 0.3384,
|
| 346 |
+
"step": 45
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 23.0,
|
| 350 |
+
"learning_rate": 1.7017543859649125e-05,
|
| 351 |
+
"loss": 0.3197,
|
| 352 |
+
"step": 46
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 23.5,
|
| 356 |
+
"learning_rate": 1.692982456140351e-05,
|
| 357 |
+
"loss": 0.3031,
|
| 358 |
+
"step": 47
|
| 359 |
+
},
|
| 360 |
+
{
|
| 361 |
+
"epoch": 24.0,
|
| 362 |
+
"learning_rate": 1.6842105263157896e-05,
|
| 363 |
+
"loss": 0.3068,
|
| 364 |
+
"step": 48
|
| 365 |
+
},
|
| 366 |
+
{
|
| 367 |
+
"epoch": 24.5,
|
| 368 |
+
"learning_rate": 1.6754385964912282e-05,
|
| 369 |
+
"loss": 0.2974,
|
| 370 |
+
"step": 49
|
| 371 |
+
},
|
| 372 |
+
{
|
| 373 |
+
"epoch": 25.0,
|
| 374 |
+
"learning_rate": 1.6666666666666667e-05,
|
| 375 |
+
"loss": 0.3053,
|
| 376 |
+
"step": 50
|
| 377 |
+
},
|
| 378 |
+
{
|
| 379 |
+
"epoch": 25.0,
|
| 380 |
+
"eval_accuracy_dropoff": 0.002344090460790385,
|
| 381 |
+
"eval_accuracy_undropoff": 0.9979102009299715,
|
| 382 |
+
"eval_accuracy_unlabeled": NaN,
|
| 383 |
+
"eval_iou_dropoff": 0.002236568552358026,
|
| 384 |
+
"eval_iou_undropoff": 0.9565110735242025,
|
| 385 |
+
"eval_iou_unlabeled": 0.0,
|
| 386 |
+
"eval_loss": 0.3790256679058075,
|
| 387 |
+
"eval_mean_accuracy": 0.500127145695381,
|
| 388 |
+
"eval_mean_iou": 0.3195825473588535,
|
| 389 |
+
"eval_overall_accuracy": 0.9565153121948242,
|
| 390 |
+
"eval_runtime": 2.7928,
|
| 391 |
+
"eval_samples_per_second": 7.161,
|
| 392 |
+
"eval_steps_per_second": 0.716,
|
| 393 |
+
"step": 50
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"epoch": 25.5,
|
| 397 |
+
"learning_rate": 1.6578947368421053e-05,
|
| 398 |
+
"loss": 0.2815,
|
| 399 |
+
"step": 51
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"epoch": 26.0,
|
| 403 |
+
"learning_rate": 1.649122807017544e-05,
|
| 404 |
+
"loss": 0.2835,
|
| 405 |
+
"step": 52
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 26.5,
|
| 409 |
+
"learning_rate": 1.6403508771929827e-05,
|
| 410 |
+
"loss": 0.2771,
|
| 411 |
+
"step": 53
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 27.0,
|
| 415 |
+
"learning_rate": 1.6315789473684213e-05,
|
| 416 |
+
"loss": 0.2843,
|
| 417 |
+
"step": 54
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 27.5,
|
| 421 |
+
"learning_rate": 1.62280701754386e-05,
|
| 422 |
+
"loss": 0.2831,
|
| 423 |
+
"step": 55
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 28.0,
|
| 427 |
+
"learning_rate": 1.6140350877192984e-05,
|
| 428 |
+
"loss": 0.2437,
|
| 429 |
+
"step": 56
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 28.5,
|
| 433 |
+
"learning_rate": 1.605263157894737e-05,
|
| 434 |
+
"loss": 0.2769,
|
| 435 |
+
"step": 57
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 29.0,
|
| 439 |
+
"learning_rate": 1.5964912280701755e-05,
|
| 440 |
+
"loss": 0.2448,
|
| 441 |
+
"step": 58
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 29.5,
|
| 445 |
+
"learning_rate": 1.5877192982456144e-05,
|
| 446 |
+
"loss": 0.2692,
|
| 447 |
+
"step": 59
|
| 448 |
+
},
|
| 449 |
+
{
|
| 450 |
+
"epoch": 30.0,
|
| 451 |
+
"learning_rate": 1.578947368421053e-05,
|
| 452 |
+
"loss": 0.2436,
|
| 453 |
+
"step": 60
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 30.0,
|
| 457 |
+
"eval_accuracy_dropoff": 0.00587169430491525,
|
| 458 |
+
"eval_accuracy_undropoff": 0.9980554778865586,
|
| 459 |
+
"eval_accuracy_unlabeled": NaN,
|
| 460 |
+
"eval_iou_dropoff": 0.0056198027800461875,
|
| 461 |
+
"eval_iou_undropoff": 0.9567906746031746,
|
| 462 |
+
"eval_iou_unlabeled": NaN,
|
| 463 |
+
"eval_loss": 0.3303200304508209,
|
| 464 |
+
"eval_mean_accuracy": 0.5019635860957369,
|
| 465 |
+
"eval_mean_iou": 0.48120523869161036,
|
| 466 |
+
"eval_overall_accuracy": 0.9568012237548829,
|
| 467 |
+
"eval_runtime": 2.7601,
|
| 468 |
+
"eval_samples_per_second": 7.246,
|
| 469 |
+
"eval_steps_per_second": 0.725,
|
| 470 |
+
"step": 60
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 30.5,
|
| 474 |
+
"learning_rate": 1.5701754385964915e-05,
|
| 475 |
+
"loss": 0.2546,
|
| 476 |
+
"step": 61
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 31.0,
|
| 480 |
+
"learning_rate": 1.56140350877193e-05,
|
| 481 |
+
"loss": 0.2305,
|
| 482 |
+
"step": 62
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 31.5,
|
| 486 |
+
"learning_rate": 1.5526315789473686e-05,
|
| 487 |
+
"loss": 0.2386,
|
| 488 |
+
"step": 63
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 32.0,
|
| 492 |
+
"learning_rate": 1.543859649122807e-05,
|
| 493 |
+
"loss": 0.2412,
|
| 494 |
+
"step": 64
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 32.5,
|
| 498 |
+
"learning_rate": 1.535087719298246e-05,
|
| 499 |
+
"loss": 0.2459,
|
| 500 |
+
"step": 65
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 33.0,
|
| 504 |
+
"learning_rate": 1.5263157894736846e-05,
|
| 505 |
+
"loss": 0.2444,
|
| 506 |
+
"step": 66
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 33.5,
|
| 510 |
+
"learning_rate": 1.517543859649123e-05,
|
| 511 |
+
"loss": 0.2415,
|
| 512 |
+
"step": 67
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
"epoch": 34.0,
|
| 516 |
+
"learning_rate": 1.5087719298245615e-05,
|
| 517 |
+
"loss": 0.2233,
|
| 518 |
+
"step": 68
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 34.5,
|
| 522 |
+
"learning_rate": 1.5000000000000002e-05,
|
| 523 |
+
"loss": 0.2269,
|
| 524 |
+
"step": 69
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 35.0,
|
| 528 |
+
"learning_rate": 1.4912280701754388e-05,
|
| 529 |
+
"loss": 0.2148,
|
| 530 |
+
"step": 70
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"epoch": 35.0,
|
| 534 |
+
"eval_accuracy_dropoff": 0.0008394687951558522,
|
| 535 |
+
"eval_accuracy_undropoff": 0.9995707364447146,
|
| 536 |
+
"eval_accuracy_unlabeled": NaN,
|
| 537 |
+
"eval_iou_dropoff": 0.0008312438678731058,
|
| 538 |
+
"eval_iou_undropoff": 0.9580427783638841,
|
| 539 |
+
"eval_iou_unlabeled": NaN,
|
| 540 |
+
"eval_loss": 0.2739110589027405,
|
| 541 |
+
"eval_mean_accuracy": 0.5002051026199352,
|
| 542 |
+
"eval_mean_iou": 0.4794370111158786,
|
| 543 |
+
"eval_overall_accuracy": 0.9580442428588867,
|
| 544 |
+
"eval_runtime": 2.7182,
|
| 545 |
+
"eval_samples_per_second": 7.358,
|
| 546 |
+
"eval_steps_per_second": 0.736,
|
| 547 |
+
"step": 70
|
| 548 |
+
},
|
| 549 |
+
{
|
| 550 |
+
"epoch": 35.5,
|
| 551 |
+
"learning_rate": 1.4824561403508773e-05,
|
| 552 |
+
"loss": 0.2208,
|
| 553 |
+
"step": 71
|
| 554 |
+
},
|
| 555 |
+
{
|
| 556 |
+
"epoch": 36.0,
|
| 557 |
+
"learning_rate": 1.4736842105263159e-05,
|
| 558 |
+
"loss": 0.2169,
|
| 559 |
+
"step": 72
|
| 560 |
+
},
|
| 561 |
+
{
|
| 562 |
+
"epoch": 36.5,
|
| 563 |
+
"learning_rate": 1.4649122807017544e-05,
|
| 564 |
+
"loss": 0.2418,
|
| 565 |
+
"step": 73
|
| 566 |
+
},
|
| 567 |
+
{
|
| 568 |
+
"epoch": 37.0,
|
| 569 |
+
"learning_rate": 1.4561403508771931e-05,
|
| 570 |
+
"loss": 0.1911,
|
| 571 |
+
"step": 74
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 37.5,
|
| 575 |
+
"learning_rate": 1.4473684210526317e-05,
|
| 576 |
+
"loss": 0.2089,
|
| 577 |
+
"step": 75
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 38.0,
|
| 581 |
+
"learning_rate": 1.4385964912280704e-05,
|
| 582 |
+
"loss": 0.2248,
|
| 583 |
+
"step": 76
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 38.5,
|
| 587 |
+
"learning_rate": 1.429824561403509e-05,
|
| 588 |
+
"loss": 0.2164,
|
| 589 |
+
"step": 77
|
| 590 |
+
},
|
| 591 |
+
{
|
| 592 |
+
"epoch": 39.0,
|
| 593 |
+
"learning_rate": 1.4210526315789475e-05,
|
| 594 |
+
"loss": 0.2224,
|
| 595 |
+
"step": 78
|
| 596 |
+
},
|
| 597 |
+
{
|
| 598 |
+
"epoch": 39.5,
|
| 599 |
+
"learning_rate": 1.412280701754386e-05,
|
| 600 |
+
"loss": 0.2239,
|
| 601 |
+
"step": 79
|
| 602 |
+
},
|
| 603 |
+
{
|
| 604 |
+
"epoch": 40.0,
|
| 605 |
+
"learning_rate": 1.4035087719298246e-05,
|
| 606 |
+
"loss": 0.1983,
|
| 607 |
+
"step": 80
|
| 608 |
+
},
|
| 609 |
+
{
|
| 610 |
+
"epoch": 40.0,
|
| 611 |
+
"eval_accuracy_dropoff": 0.05823528062570243,
|
| 612 |
+
"eval_accuracy_undropoff": 0.998591012530635,
|
| 613 |
+
"eval_accuracy_unlabeled": NaN,
|
| 614 |
+
"eval_iou_dropoff": 0.0564034210818616,
|
| 615 |
+
"eval_iou_undropoff": 0.9593934057781895,
|
| 616 |
+
"eval_iou_unlabeled": NaN,
|
| 617 |
+
"eval_loss": 0.23478250205516815,
|
| 618 |
+
"eval_mean_accuracy": 0.5284131465781687,
|
| 619 |
+
"eval_mean_iou": 0.5078984134300256,
|
| 620 |
+
"eval_overall_accuracy": 0.9594917297363281,
|
| 621 |
+
"eval_runtime": 2.9691,
|
| 622 |
+
"eval_samples_per_second": 6.736,
|
| 623 |
+
"eval_steps_per_second": 0.674,
|
| 624 |
+
"step": 80
|
| 625 |
+
},
|
| 626 |
+
{
|
| 627 |
+
"epoch": 40.5,
|
| 628 |
+
"learning_rate": 1.3947368421052631e-05,
|
| 629 |
+
"loss": 0.2082,
|
| 630 |
+
"step": 81
|
| 631 |
+
},
|
| 632 |
+
{
|
| 633 |
+
"epoch": 41.0,
|
| 634 |
+
"learning_rate": 1.385964912280702e-05,
|
| 635 |
+
"loss": 0.1867,
|
| 636 |
+
"step": 82
|
| 637 |
+
},
|
| 638 |
+
{
|
| 639 |
+
"epoch": 41.5,
|
| 640 |
+
"learning_rate": 1.3771929824561406e-05,
|
| 641 |
+
"loss": 0.189,
|
| 642 |
+
"step": 83
|
| 643 |
+
},
|
| 644 |
+
{
|
| 645 |
+
"epoch": 42.0,
|
| 646 |
+
"learning_rate": 1.3684210526315791e-05,
|
| 647 |
+
"loss": 0.2007,
|
| 648 |
+
"step": 84
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 42.5,
|
| 652 |
+
"learning_rate": 1.3596491228070177e-05,
|
| 653 |
+
"loss": 0.1998,
|
| 654 |
+
"step": 85
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 43.0,
|
| 658 |
+
"learning_rate": 1.3508771929824562e-05,
|
| 659 |
+
"loss": 0.1833,
|
| 660 |
+
"step": 86
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 43.5,
|
| 664 |
+
"learning_rate": 1.3421052631578948e-05,
|
| 665 |
+
"loss": 0.2017,
|
| 666 |
+
"step": 87
|
| 667 |
+
},
|
| 668 |
+
{
|
| 669 |
+
"epoch": 44.0,
|
| 670 |
+
"learning_rate": 1.3333333333333333e-05,
|
| 671 |
+
"loss": 0.1757,
|
| 672 |
+
"step": 88
|
| 673 |
+
},
|
| 674 |
+
{
|
| 675 |
+
"epoch": 44.5,
|
| 676 |
+
"learning_rate": 1.3245614035087719e-05,
|
| 677 |
+
"loss": 0.1922,
|
| 678 |
+
"step": 89
|
| 679 |
+
},
|
| 680 |
+
{
|
| 681 |
+
"epoch": 45.0,
|
| 682 |
+
"learning_rate": 1.3157894736842108e-05,
|
| 683 |
+
"loss": 0.1784,
|
| 684 |
+
"step": 90
|
| 685 |
+
},
|
| 686 |
+
{
|
| 687 |
+
"epoch": 45.0,
|
| 688 |
+
"eval_accuracy_dropoff": 0.29602513819124293,
|
| 689 |
+
"eval_accuracy_undropoff": 0.9920426039600906,
|
| 690 |
+
"eval_accuracy_unlabeled": NaN,
|
| 691 |
+
"eval_iou_dropoff": 0.2501434219706954,
|
| 692 |
+
"eval_iou_undropoff": 0.9626429123728263,
|
| 693 |
+
"eval_iou_unlabeled": NaN,
|
| 694 |
+
"eval_loss": 0.21779485046863556,
|
| 695 |
+
"eval_mean_accuracy": 0.6440338710756668,
|
| 696 |
+
"eval_mean_iou": 0.6063931671717608,
|
| 697 |
+
"eval_overall_accuracy": 0.9631027221679688,
|
| 698 |
+
"eval_runtime": 2.7873,
|
| 699 |
+
"eval_samples_per_second": 7.175,
|
| 700 |
+
"eval_steps_per_second": 0.718,
|
| 701 |
+
"step": 90
|
| 702 |
+
},
|
| 703 |
+
{
|
| 704 |
+
"epoch": 45.5,
|
| 705 |
+
"learning_rate": 1.3070175438596493e-05,
|
| 706 |
+
"loss": 0.184,
|
| 707 |
+
"step": 91
|
| 708 |
+
},
|
| 709 |
+
{
|
| 710 |
+
"epoch": 46.0,
|
| 711 |
+
"learning_rate": 1.2982456140350879e-05,
|
| 712 |
+
"loss": 0.1835,
|
| 713 |
+
"step": 92
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"epoch": 46.5,
|
| 717 |
+
"learning_rate": 1.2894736842105264e-05,
|
| 718 |
+
"loss": 0.1654,
|
| 719 |
+
"step": 93
|
| 720 |
+
},
|
| 721 |
+
{
|
| 722 |
+
"epoch": 47.0,
|
| 723 |
+
"learning_rate": 1.280701754385965e-05,
|
| 724 |
+
"loss": 0.181,
|
| 725 |
+
"step": 94
|
| 726 |
+
},
|
| 727 |
+
{
|
| 728 |
+
"epoch": 47.5,
|
| 729 |
+
"learning_rate": 1.2719298245614035e-05,
|
| 730 |
+
"loss": 0.1782,
|
| 731 |
+
"step": 95
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 48.0,
|
| 735 |
+
"learning_rate": 1.263157894736842e-05,
|
| 736 |
+
"loss": 0.172,
|
| 737 |
+
"step": 96
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 48.5,
|
| 741 |
+
"learning_rate": 1.2543859649122808e-05,
|
| 742 |
+
"loss": 0.1819,
|
| 743 |
+
"step": 97
|
| 744 |
+
},
|
| 745 |
+
{
|
| 746 |
+
"epoch": 49.0,
|
| 747 |
+
"learning_rate": 1.2456140350877195e-05,
|
| 748 |
+
"loss": 0.1685,
|
| 749 |
+
"step": 98
|
| 750 |
+
},
|
| 751 |
+
{
|
| 752 |
+
"epoch": 49.5,
|
| 753 |
+
"learning_rate": 1.236842105263158e-05,
|
| 754 |
+
"loss": 0.1616,
|
| 755 |
+
"step": 99
|
| 756 |
+
},
|
| 757 |
+
{
|
| 758 |
+
"epoch": 50.0,
|
| 759 |
+
"learning_rate": 1.2280701754385966e-05,
|
| 760 |
+
"loss": 0.1631,
|
| 761 |
+
"step": 100
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 50.0,
|
| 765 |
+
"eval_accuracy_dropoff": 0.3760499094015918,
|
| 766 |
+
"eval_accuracy_undropoff": 0.9860599794821175,
|
| 767 |
+
"eval_accuracy_unlabeled": NaN,
|
| 768 |
+
"eval_iou_dropoff": 0.2846008568194916,
|
| 769 |
+
"eval_iou_undropoff": 0.9600719098963882,
|
| 770 |
+
"eval_iou_unlabeled": NaN,
|
| 771 |
+
"eval_loss": 0.1942574679851532,
|
| 772 |
+
"eval_mean_accuracy": 0.6810549444418547,
|
| 773 |
+
"eval_mean_iou": 0.62233638335794,
|
| 774 |
+
"eval_overall_accuracy": 0.9606962203979492,
|
| 775 |
+
"eval_runtime": 2.9092,
|
| 776 |
+
"eval_samples_per_second": 6.875,
|
| 777 |
+
"eval_steps_per_second": 0.687,
|
| 778 |
+
"step": 100
|
| 779 |
+
},
|
| 780 |
+
{
|
| 781 |
+
"epoch": 50.5,
|
| 782 |
+
"learning_rate": 1.2192982456140352e-05,
|
| 783 |
+
"loss": 0.153,
|
| 784 |
+
"step": 101
|
| 785 |
+
},
|
| 786 |
+
{
|
| 787 |
+
"epoch": 51.0,
|
| 788 |
+
"learning_rate": 1.2105263157894737e-05,
|
| 789 |
+
"loss": 0.172,
|
| 790 |
+
"step": 102
|
| 791 |
+
},
|
| 792 |
+
{
|
| 793 |
+
"epoch": 51.5,
|
| 794 |
+
"learning_rate": 1.2017543859649124e-05,
|
| 795 |
+
"loss": 0.1695,
|
| 796 |
+
"step": 103
|
| 797 |
+
},
|
| 798 |
+
{
|
| 799 |
+
"epoch": 52.0,
|
| 800 |
+
"learning_rate": 1.192982456140351e-05,
|
| 801 |
+
"loss": 0.1743,
|
| 802 |
+
"step": 104
|
| 803 |
+
},
|
| 804 |
+
{
|
| 805 |
+
"epoch": 52.5,
|
| 806 |
+
"learning_rate": 1.1842105263157895e-05,
|
| 807 |
+
"loss": 0.1628,
|
| 808 |
+
"step": 105
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 53.0,
|
| 812 |
+
"learning_rate": 1.1754385964912282e-05,
|
| 813 |
+
"loss": 0.1585,
|
| 814 |
+
"step": 106
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 53.5,
|
| 818 |
+
"learning_rate": 1.1666666666666668e-05,
|
| 819 |
+
"loss": 0.1494,
|
| 820 |
+
"step": 107
|
| 821 |
+
},
|
| 822 |
+
{
|
| 823 |
+
"epoch": 54.0,
|
| 824 |
+
"learning_rate": 1.1578947368421053e-05,
|
| 825 |
+
"loss": 0.15,
|
| 826 |
+
"step": 108
|
| 827 |
+
},
|
| 828 |
+
{
|
| 829 |
+
"epoch": 54.5,
|
| 830 |
+
"learning_rate": 1.1491228070175439e-05,
|
| 831 |
+
"loss": 0.1556,
|
| 832 |
+
"step": 109
|
| 833 |
+
},
|
| 834 |
+
{
|
| 835 |
+
"epoch": 55.0,
|
| 836 |
+
"learning_rate": 1.1403508771929826e-05,
|
| 837 |
+
"loss": 0.1468,
|
| 838 |
+
"step": 110
|
| 839 |
+
},
|
| 840 |
+
{
|
| 841 |
+
"epoch": 55.0,
|
| 842 |
+
"eval_accuracy_dropoff": 0.358338494002156,
|
| 843 |
+
"eval_accuracy_undropoff": 0.9878841008301682,
|
| 844 |
+
"eval_accuracy_unlabeled": NaN,
|
| 845 |
+
"eval_iou_dropoff": 0.2801101564853196,
|
| 846 |
+
"eval_iou_undropoff": 0.9611289112145298,
|
| 847 |
+
"eval_iou_unlabeled": NaN,
|
| 848 |
+
"eval_loss": 0.17585495114326477,
|
| 849 |
+
"eval_mean_accuracy": 0.6731112974161622,
|
| 850 |
+
"eval_mean_iou": 0.6206195338499247,
|
| 851 |
+
"eval_overall_accuracy": 0.9617080688476562,
|
| 852 |
+
"eval_runtime": 5.2724,
|
| 853 |
+
"eval_samples_per_second": 3.793,
|
| 854 |
+
"eval_steps_per_second": 0.379,
|
| 855 |
+
"step": 110
|
| 856 |
+
},
|
| 857 |
+
{
|
| 858 |
+
"epoch": 55.5,
|
| 859 |
+
"learning_rate": 1.1315789473684212e-05,
|
| 860 |
+
"loss": 0.1559,
|
| 861 |
+
"step": 111
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"epoch": 56.0,
|
| 865 |
+
"learning_rate": 1.1228070175438597e-05,
|
| 866 |
+
"loss": 0.1603,
|
| 867 |
+
"step": 112
|
| 868 |
+
},
|
| 869 |
+
{
|
| 870 |
+
"epoch": 56.5,
|
| 871 |
+
"learning_rate": 1.1140350877192983e-05,
|
| 872 |
+
"loss": 0.1488,
|
| 873 |
+
"step": 113
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 57.0,
|
| 877 |
+
"learning_rate": 1.105263157894737e-05,
|
| 878 |
+
"loss": 0.1414,
|
| 879 |
+
"step": 114
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
"epoch": 57.5,
|
| 883 |
+
"learning_rate": 1.0964912280701755e-05,
|
| 884 |
+
"loss": 0.1461,
|
| 885 |
+
"step": 115
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 58.0,
|
| 889 |
+
"learning_rate": 1.0877192982456142e-05,
|
| 890 |
+
"loss": 0.1519,
|
| 891 |
+
"step": 116
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 58.5,
|
| 895 |
+
"learning_rate": 1.0789473684210528e-05,
|
| 896 |
+
"loss": 0.1509,
|
| 897 |
+
"step": 117
|
| 898 |
+
},
|
| 899 |
+
{
|
| 900 |
+
"epoch": 59.0,
|
| 901 |
+
"learning_rate": 1.0701754385964913e-05,
|
| 902 |
+
"loss": 0.1393,
|
| 903 |
+
"step": 118
|
| 904 |
+
},
|
| 905 |
+
{
|
| 906 |
+
"epoch": 59.5,
|
| 907 |
+
"learning_rate": 1.0614035087719299e-05,
|
| 908 |
+
"loss": 0.1369,
|
| 909 |
+
"step": 119
|
| 910 |
+
},
|
| 911 |
+
{
|
| 912 |
+
"epoch": 60.0,
|
| 913 |
+
"learning_rate": 1.0526315789473684e-05,
|
| 914 |
+
"loss": 0.1353,
|
| 915 |
+
"step": 120
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"epoch": 60.0,
|
| 919 |
+
"eval_accuracy_dropoff": 0.2731347049244249,
|
| 920 |
+
"eval_accuracy_undropoff": 0.9938581678983698,
|
| 921 |
+
"eval_accuracy_unlabeled": NaN,
|
| 922 |
+
"eval_iou_dropoff": 0.23926190543163342,
|
| 923 |
+
"eval_iou_undropoff": 0.9634762386709105,
|
| 924 |
+
"eval_iou_unlabeled": NaN,
|
| 925 |
+
"eval_loss": 0.16572275757789612,
|
| 926 |
+
"eval_mean_accuracy": 0.6334964364113973,
|
| 927 |
+
"eval_mean_iou": 0.601369072051272,
|
| 928 |
+
"eval_overall_accuracy": 0.9638910293579102,
|
| 929 |
+
"eval_runtime": 2.7535,
|
| 930 |
+
"eval_samples_per_second": 7.264,
|
| 931 |
+
"eval_steps_per_second": 0.726,
|
| 932 |
+
"step": 120
|
| 933 |
+
},
|
| 934 |
+
{
|
| 935 |
+
"epoch": 60.5,
|
| 936 |
+
"learning_rate": 1.043859649122807e-05,
|
| 937 |
+
"loss": 0.1456,
|
| 938 |
+
"step": 121
|
| 939 |
+
},
|
| 940 |
+
{
|
| 941 |
+
"epoch": 61.0,
|
| 942 |
+
"learning_rate": 1.0350877192982459e-05,
|
| 943 |
+
"loss": 0.1355,
|
| 944 |
+
"step": 122
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 61.5,
|
| 948 |
+
"learning_rate": 1.0263157894736844e-05,
|
| 949 |
+
"loss": 0.1299,
|
| 950 |
+
"step": 123
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 62.0,
|
| 954 |
+
"learning_rate": 1.017543859649123e-05,
|
| 955 |
+
"loss": 0.1451,
|
| 956 |
+
"step": 124
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 62.5,
|
| 960 |
+
"learning_rate": 1.0087719298245615e-05,
|
| 961 |
+
"loss": 0.1869,
|
| 962 |
+
"step": 125
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 63.0,
|
| 966 |
+
"learning_rate": 1e-05,
|
| 967 |
+
"loss": 0.1365,
|
| 968 |
+
"step": 126
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 63.5,
|
| 972 |
+
"learning_rate": 9.912280701754386e-06,
|
| 973 |
+
"loss": 0.1427,
|
| 974 |
+
"step": 127
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 64.0,
|
| 978 |
+
"learning_rate": 9.824561403508772e-06,
|
| 979 |
+
"loss": 0.1475,
|
| 980 |
+
"step": 128
|
| 981 |
+
},
|
| 982 |
+
{
|
| 983 |
+
"epoch": 64.5,
|
| 984 |
+
"learning_rate": 9.736842105263159e-06,
|
| 985 |
+
"loss": 0.1361,
|
| 986 |
+
"step": 129
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"epoch": 65.0,
|
| 990 |
+
"learning_rate": 9.649122807017545e-06,
|
| 991 |
+
"loss": 0.1474,
|
| 992 |
+
"step": 130
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 65.0,
|
| 996 |
+
"eval_accuracy_dropoff": 0.25048739649991975,
|
| 997 |
+
"eval_accuracy_undropoff": 0.9950542151710935,
|
| 998 |
+
"eval_accuracy_unlabeled": NaN,
|
| 999 |
+
"eval_iou_dropoff": 0.2248535085877116,
|
| 1000 |
+
"eval_iou_undropoff": 0.9637178060145232,
|
| 1001 |
+
"eval_iou_unlabeled": NaN,
|
| 1002 |
+
"eval_loss": 0.1590222418308258,
|
| 1003 |
+
"eval_mean_accuracy": 0.6227708058355066,
|
| 1004 |
+
"eval_mean_iou": 0.5942856573011174,
|
| 1005 |
+
"eval_overall_accuracy": 0.9640956878662109,
|
| 1006 |
+
"eval_runtime": 2.8192,
|
| 1007 |
+
"eval_samples_per_second": 7.094,
|
| 1008 |
+
"eval_steps_per_second": 0.709,
|
| 1009 |
+
"step": 130
|
| 1010 |
+
},
|
| 1011 |
+
{
|
| 1012 |
+
"epoch": 65.5,
|
| 1013 |
+
"learning_rate": 9.56140350877193e-06,
|
| 1014 |
+
"loss": 0.1335,
|
| 1015 |
+
"step": 131
|
| 1016 |
+
},
|
| 1017 |
+
{
|
| 1018 |
+
"epoch": 66.0,
|
| 1019 |
+
"learning_rate": 9.473684210526315e-06,
|
| 1020 |
+
"loss": 0.1261,
|
| 1021 |
+
"step": 132
|
| 1022 |
+
},
|
| 1023 |
+
{
|
| 1024 |
+
"epoch": 66.5,
|
| 1025 |
+
"learning_rate": 9.385964912280703e-06,
|
| 1026 |
+
"loss": 0.1367,
|
| 1027 |
+
"step": 133
|
| 1028 |
+
},
|
| 1029 |
+
{
|
| 1030 |
+
"epoch": 67.0,
|
| 1031 |
+
"learning_rate": 9.298245614035088e-06,
|
| 1032 |
+
"loss": 0.1237,
|
| 1033 |
+
"step": 134
|
| 1034 |
+
},
|
| 1035 |
+
{
|
| 1036 |
+
"epoch": 67.5,
|
| 1037 |
+
"learning_rate": 9.210526315789474e-06,
|
| 1038 |
+
"loss": 0.1247,
|
| 1039 |
+
"step": 135
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 68.0,
|
| 1043 |
+
"learning_rate": 9.12280701754386e-06,
|
| 1044 |
+
"loss": 0.1635,
|
| 1045 |
+
"step": 136
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 68.5,
|
| 1049 |
+
"learning_rate": 9.035087719298246e-06,
|
| 1050 |
+
"loss": 0.1204,
|
| 1051 |
+
"step": 137
|
| 1052 |
+
},
|
| 1053 |
+
{
|
| 1054 |
+
"epoch": 69.0,
|
| 1055 |
+
"learning_rate": 8.947368421052632e-06,
|
| 1056 |
+
"loss": 0.1264,
|
| 1057 |
+
"step": 138
|
| 1058 |
+
},
|
| 1059 |
+
{
|
| 1060 |
+
"epoch": 69.5,
|
| 1061 |
+
"learning_rate": 8.859649122807017e-06,
|
| 1062 |
+
"loss": 0.1248,
|
| 1063 |
+
"step": 139
|
| 1064 |
+
},
|
| 1065 |
+
{
|
| 1066 |
+
"epoch": 70.0,
|
| 1067 |
+
"learning_rate": 8.771929824561405e-06,
|
| 1068 |
+
"loss": 0.1172,
|
| 1069 |
+
"step": 140
|
| 1070 |
+
},
|
| 1071 |
+
{
|
| 1072 |
+
"epoch": 70.0,
|
| 1073 |
+
"eval_accuracy_dropoff": 0.3399986238216473,
|
| 1074 |
+
"eval_accuracy_undropoff": 0.9924475883527683,
|
| 1075 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1076 |
+
"eval_iou_dropoff": 0.28958565316767276,
|
| 1077 |
+
"eval_iou_undropoff": 0.9648219438232984,
|
| 1078 |
+
"eval_iou_unlabeled": NaN,
|
| 1079 |
+
"eval_loss": 0.15622450411319733,
|
| 1080 |
+
"eval_mean_accuracy": 0.6662231060872078,
|
| 1081 |
+
"eval_mean_iou": 0.6272037984954856,
|
| 1082 |
+
"eval_overall_accuracy": 0.9653192520141601,
|
| 1083 |
+
"eval_runtime": 2.8324,
|
| 1084 |
+
"eval_samples_per_second": 7.061,
|
| 1085 |
+
"eval_steps_per_second": 0.706,
|
| 1086 |
+
"step": 140
|
| 1087 |
+
},
|
| 1088 |
+
{
|
| 1089 |
+
"epoch": 70.5,
|
| 1090 |
+
"learning_rate": 8.68421052631579e-06,
|
| 1091 |
+
"loss": 0.1217,
|
| 1092 |
+
"step": 141
|
| 1093 |
+
},
|
| 1094 |
+
{
|
| 1095 |
+
"epoch": 71.0,
|
| 1096 |
+
"learning_rate": 8.596491228070176e-06,
|
| 1097 |
+
"loss": 0.117,
|
| 1098 |
+
"step": 142
|
| 1099 |
+
},
|
| 1100 |
+
{
|
| 1101 |
+
"epoch": 71.5,
|
| 1102 |
+
"learning_rate": 8.508771929824563e-06,
|
| 1103 |
+
"loss": 0.1138,
|
| 1104 |
+
"step": 143
|
| 1105 |
+
},
|
| 1106 |
+
{
|
| 1107 |
+
"epoch": 72.0,
|
| 1108 |
+
"learning_rate": 8.421052631578948e-06,
|
| 1109 |
+
"loss": 0.1261,
|
| 1110 |
+
"step": 144
|
| 1111 |
+
},
|
| 1112 |
+
{
|
| 1113 |
+
"epoch": 72.5,
|
| 1114 |
+
"learning_rate": 8.333333333333334e-06,
|
| 1115 |
+
"loss": 0.1172,
|
| 1116 |
+
"step": 145
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 73.0,
|
| 1120 |
+
"learning_rate": 8.24561403508772e-06,
|
| 1121 |
+
"loss": 0.1237,
|
| 1122 |
+
"step": 146
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 73.5,
|
| 1126 |
+
"learning_rate": 8.157894736842106e-06,
|
| 1127 |
+
"loss": 0.1122,
|
| 1128 |
+
"step": 147
|
| 1129 |
+
},
|
| 1130 |
+
{
|
| 1131 |
+
"epoch": 74.0,
|
| 1132 |
+
"learning_rate": 8.070175438596492e-06,
|
| 1133 |
+
"loss": 0.1352,
|
| 1134 |
+
"step": 148
|
| 1135 |
+
},
|
| 1136 |
+
{
|
| 1137 |
+
"epoch": 74.5,
|
| 1138 |
+
"learning_rate": 7.982456140350877e-06,
|
| 1139 |
+
"loss": 0.1129,
|
| 1140 |
+
"step": 149
|
| 1141 |
+
},
|
| 1142 |
+
{
|
| 1143 |
+
"epoch": 75.0,
|
| 1144 |
+
"learning_rate": 7.894736842105265e-06,
|
| 1145 |
+
"loss": 0.1169,
|
| 1146 |
+
"step": 150
|
| 1147 |
+
},
|
| 1148 |
+
{
|
| 1149 |
+
"epoch": 75.0,
|
| 1150 |
+
"eval_accuracy_dropoff": 0.3466868506158398,
|
| 1151 |
+
"eval_accuracy_undropoff": 0.9924615190198383,
|
| 1152 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1153 |
+
"eval_iou_dropoff": 0.2953629702002931,
|
| 1154 |
+
"eval_iou_undropoff": 0.9651077234859803,
|
| 1155 |
+
"eval_iou_unlabeled": NaN,
|
| 1156 |
+
"eval_loss": 0.15383288264274597,
|
| 1157 |
+
"eval_mean_accuracy": 0.669574184817839,
|
| 1158 |
+
"eval_mean_iou": 0.6302353468431368,
|
| 1159 |
+
"eval_overall_accuracy": 0.9656106948852539,
|
| 1160 |
+
"eval_runtime": 2.904,
|
| 1161 |
+
"eval_samples_per_second": 6.887,
|
| 1162 |
+
"eval_steps_per_second": 0.689,
|
| 1163 |
+
"step": 150
|
| 1164 |
+
},
|
| 1165 |
+
{
|
| 1166 |
+
"epoch": 75.5,
|
| 1167 |
+
"learning_rate": 7.80701754385965e-06,
|
| 1168 |
+
"loss": 0.1075,
|
| 1169 |
+
"step": 151
|
| 1170 |
+
},
|
| 1171 |
+
{
|
| 1172 |
+
"epoch": 76.0,
|
| 1173 |
+
"learning_rate": 7.719298245614036e-06,
|
| 1174 |
+
"loss": 0.1224,
|
| 1175 |
+
"step": 152
|
| 1176 |
+
},
|
| 1177 |
+
{
|
| 1178 |
+
"epoch": 76.5,
|
| 1179 |
+
"learning_rate": 7.631578947368423e-06,
|
| 1180 |
+
"loss": 0.1101,
|
| 1181 |
+
"step": 153
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"epoch": 77.0,
|
| 1185 |
+
"learning_rate": 7.5438596491228074e-06,
|
| 1186 |
+
"loss": 0.1276,
|
| 1187 |
+
"step": 154
|
| 1188 |
+
},
|
| 1189 |
+
{
|
| 1190 |
+
"epoch": 77.5,
|
| 1191 |
+
"learning_rate": 7.456140350877194e-06,
|
| 1192 |
+
"loss": 0.1119,
|
| 1193 |
+
"step": 155
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 78.0,
|
| 1197 |
+
"learning_rate": 7.368421052631579e-06,
|
| 1198 |
+
"loss": 0.1088,
|
| 1199 |
+
"step": 156
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 78.5,
|
| 1203 |
+
"learning_rate": 7.280701754385966e-06,
|
| 1204 |
+
"loss": 0.1119,
|
| 1205 |
+
"step": 157
|
| 1206 |
+
},
|
| 1207 |
+
{
|
| 1208 |
+
"epoch": 79.0,
|
| 1209 |
+
"learning_rate": 7.192982456140352e-06,
|
| 1210 |
+
"loss": 0.1174,
|
| 1211 |
+
"step": 158
|
| 1212 |
+
},
|
| 1213 |
+
{
|
| 1214 |
+
"epoch": 79.5,
|
| 1215 |
+
"learning_rate": 7.1052631578947375e-06,
|
| 1216 |
+
"loss": 0.1087,
|
| 1217 |
+
"step": 159
|
| 1218 |
+
},
|
| 1219 |
+
{
|
| 1220 |
+
"epoch": 80.0,
|
| 1221 |
+
"learning_rate": 7.017543859649123e-06,
|
| 1222 |
+
"loss": 0.1263,
|
| 1223 |
+
"step": 160
|
| 1224 |
+
},
|
| 1225 |
+
{
|
| 1226 |
+
"epoch": 80.0,
|
| 1227 |
+
"eval_accuracy_dropoff": 0.36454964563407416,
|
| 1228 |
+
"eval_accuracy_undropoff": 0.9921878809166776,
|
| 1229 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1230 |
+
"eval_iou_dropoff": 0.3089212827988338,
|
| 1231 |
+
"eval_iou_undropoff": 0.9655692652723684,
|
| 1232 |
+
"eval_iou_unlabeled": NaN,
|
| 1233 |
+
"eval_loss": 0.15396572649478912,
|
| 1234 |
+
"eval_mean_accuracy": 0.6783687632753759,
|
| 1235 |
+
"eval_mean_iou": 0.6372452740356012,
|
| 1236 |
+
"eval_overall_accuracy": 0.9660911560058594,
|
| 1237 |
+
"eval_runtime": 2.7842,
|
| 1238 |
+
"eval_samples_per_second": 7.183,
|
| 1239 |
+
"eval_steps_per_second": 0.718,
|
| 1240 |
+
"step": 160
|
| 1241 |
+
}
|
| 1242 |
+
],
|
| 1243 |
+
"max_steps": 240,
|
| 1244 |
+
"num_train_epochs": 120,
|
| 1245 |
+
"total_flos": 1.852365741144146e+18,
|
| 1246 |
+
"trial_name": null,
|
| 1247 |
+
"trial_params": null
|
| 1248 |
+
}
|
checkpoint-160/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9f9203d57bc68218e99cf1b634ab134f9a7da315509cf7c3d74a33cb44500d67
|
| 3 |
+
size 4155
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 338834121
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4120bd3b5d5100f3aaade8b7c37296a331db272ce613fd4fd7c9fbd8a0aefce5
|
| 3 |
size 338834121
|
runs/Feb12_07-24-24_robolidar/events.out.tfevents.1707744272.robolidar.4127916.0
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 sha256:6441ff1d8381494c575be675f460d4fe96d1e8b339d036704579b1a60bb998dd
|
| 3 |
+
size 42023
|