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_06-10-27_robovision.csres.utexas.edu/events.out.tfevents.1707739842.robovision.csres.utexas.edu.2691642.0 +2 -2
checkpoint-160/config.json
ADDED
|
@@ -0,0 +1,80 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "nvidia/mit-b0",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"SegformerForSemanticSegmentation"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.0,
|
| 7 |
+
"classifier_dropout_prob": 0.1,
|
| 8 |
+
"decoder_hidden_size": 256,
|
| 9 |
+
"depths": [
|
| 10 |
+
2,
|
| 11 |
+
2,
|
| 12 |
+
2,
|
| 13 |
+
2
|
| 14 |
+
],
|
| 15 |
+
"downsampling_rates": [
|
| 16 |
+
1,
|
| 17 |
+
4,
|
| 18 |
+
8,
|
| 19 |
+
16
|
| 20 |
+
],
|
| 21 |
+
"drop_path_rate": 0.1,
|
| 22 |
+
"hidden_act": "gelu",
|
| 23 |
+
"hidden_dropout_prob": 0.0,
|
| 24 |
+
"hidden_sizes": [
|
| 25 |
+
32,
|
| 26 |
+
64,
|
| 27 |
+
160,
|
| 28 |
+
256
|
| 29 |
+
],
|
| 30 |
+
"id2label": {
|
| 31 |
+
"0": "unlabeled",
|
| 32 |
+
"1": "dropoff",
|
| 33 |
+
"2": "undropoff"
|
| 34 |
+
},
|
| 35 |
+
"image_size": 224,
|
| 36 |
+
"initializer_range": 0.02,
|
| 37 |
+
"label2id": {
|
| 38 |
+
"dropoff": 1,
|
| 39 |
+
"undropoff": 2,
|
| 40 |
+
"unlabeled": 0
|
| 41 |
+
},
|
| 42 |
+
"layer_norm_eps": 1e-06,
|
| 43 |
+
"mlp_ratios": [
|
| 44 |
+
4,
|
| 45 |
+
4,
|
| 46 |
+
4,
|
| 47 |
+
4
|
| 48 |
+
],
|
| 49 |
+
"model_type": "segformer",
|
| 50 |
+
"num_attention_heads": [
|
| 51 |
+
1,
|
| 52 |
+
2,
|
| 53 |
+
5,
|
| 54 |
+
8
|
| 55 |
+
],
|
| 56 |
+
"num_channels": 3,
|
| 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 sha256:0c24716952566bef9251009edd1a8e59e9a89523aa0c1e67e2faa5a54018b738
|
| 3 |
+
size 29838853
|
checkpoint-160/pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:beee480072aced9c1c34dde60cdd9d9ef62436bd662355d8f53c5a6f97b93580
|
| 3 |
+
size 14932813
|
checkpoint-160/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:88c547657e93f58d6d8ebd261b91d0d95a29f014be16e7edb041f57554938e2a
|
| 3 |
+
size 14575
|
checkpoint-160/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ae46a089769c22b0021b7a7403a1d855a9675211ed99e2410bc586c82b3bb15e
|
| 3 |
+
size 627
|
checkpoint-160/trainer_state.json
ADDED
|
@@ -0,0 +1,1248 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.34511667490005493,
|
| 3 |
+
"best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/dropoff-utcustom-train-SF-RGB-b0_5/checkpoint-160",
|
| 4 |
+
"epoch": 53.333333333333336,
|
| 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": 0.33,
|
| 12 |
+
"learning_rate": 2.777777777777778e-06,
|
| 13 |
+
"loss": 1.249,
|
| 14 |
+
"step": 1
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.67,
|
| 18 |
+
"learning_rate": 5.555555555555556e-06,
|
| 19 |
+
"loss": 1.2488,
|
| 20 |
+
"step": 2
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 1.0,
|
| 24 |
+
"learning_rate": 8.333333333333334e-06,
|
| 25 |
+
"loss": 1.2553,
|
| 26 |
+
"step": 3
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 1.33,
|
| 30 |
+
"learning_rate": 1.1111111111111112e-05,
|
| 31 |
+
"loss": 1.2475,
|
| 32 |
+
"step": 4
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 1.67,
|
| 36 |
+
"learning_rate": 1.388888888888889e-05,
|
| 37 |
+
"loss": 1.2427,
|
| 38 |
+
"step": 5
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 2.0,
|
| 42 |
+
"learning_rate": 1.6666666666666667e-05,
|
| 43 |
+
"loss": 1.2497,
|
| 44 |
+
"step": 6
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 2.33,
|
| 48 |
+
"learning_rate": 1.9444444444444445e-05,
|
| 49 |
+
"loss": 1.2339,
|
| 50 |
+
"step": 7
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 2.67,
|
| 54 |
+
"learning_rate": 2.2222222222222223e-05,
|
| 55 |
+
"loss": 1.2302,
|
| 56 |
+
"step": 8
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 3.0,
|
| 60 |
+
"learning_rate": 2.5e-05,
|
| 61 |
+
"loss": 1.2196,
|
| 62 |
+
"step": 9
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 3.33,
|
| 66 |
+
"learning_rate": 2.777777777777778e-05,
|
| 67 |
+
"loss": 1.2123,
|
| 68 |
+
"step": 10
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 3.33,
|
| 72 |
+
"eval_accuracy_dropoff": 0.1908240861993705,
|
| 73 |
+
"eval_accuracy_undropoff": 0.18874432817853504,
|
| 74 |
+
"eval_accuracy_unlabeled": NaN,
|
| 75 |
+
"eval_iou_dropoff": 0.04942539850194509,
|
| 76 |
+
"eval_iou_undropoff": 0.188595832344016,
|
| 77 |
+
"eval_iou_unlabeled": 0.0,
|
| 78 |
+
"eval_loss": 1.1206141710281372,
|
| 79 |
+
"eval_mean_accuracy": 0.18978420718895278,
|
| 80 |
+
"eval_mean_iou": 0.07934041028198703,
|
| 81 |
+
"eval_overall_accuracy": 0.18883641560872397,
|
| 82 |
+
"eval_runtime": 1.7856,
|
| 83 |
+
"eval_samples_per_second": 8.401,
|
| 84 |
+
"eval_steps_per_second": 0.56,
|
| 85 |
+
"step": 10
|
| 86 |
+
},
|
| 87 |
+
{
|
| 88 |
+
"epoch": 3.67,
|
| 89 |
+
"learning_rate": 3.055555555555556e-05,
|
| 90 |
+
"loss": 1.2065,
|
| 91 |
+
"step": 11
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"epoch": 4.0,
|
| 95 |
+
"learning_rate": 3.3333333333333335e-05,
|
| 96 |
+
"loss": 1.1867,
|
| 97 |
+
"step": 12
|
| 98 |
+
},
|
| 99 |
+
{
|
| 100 |
+
"epoch": 4.33,
|
| 101 |
+
"learning_rate": 3.611111111111111e-05,
|
| 102 |
+
"loss": 1.1956,
|
| 103 |
+
"step": 13
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"epoch": 4.67,
|
| 107 |
+
"learning_rate": 3.888888888888889e-05,
|
| 108 |
+
"loss": 1.1767,
|
| 109 |
+
"step": 14
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"epoch": 5.0,
|
| 113 |
+
"learning_rate": 4.166666666666667e-05,
|
| 114 |
+
"loss": 1.1659,
|
| 115 |
+
"step": 15
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 5.33,
|
| 119 |
+
"learning_rate": 4.4444444444444447e-05,
|
| 120 |
+
"loss": 1.1494,
|
| 121 |
+
"step": 16
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 5.67,
|
| 125 |
+
"learning_rate": 4.722222222222222e-05,
|
| 126 |
+
"loss": 1.1325,
|
| 127 |
+
"step": 17
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"epoch": 6.0,
|
| 131 |
+
"learning_rate": 5e-05,
|
| 132 |
+
"loss": 1.1703,
|
| 133 |
+
"step": 18
|
| 134 |
+
},
|
| 135 |
+
{
|
| 136 |
+
"epoch": 6.33,
|
| 137 |
+
"learning_rate": 4.985380116959065e-05,
|
| 138 |
+
"loss": 1.1172,
|
| 139 |
+
"step": 19
|
| 140 |
+
},
|
| 141 |
+
{
|
| 142 |
+
"epoch": 6.67,
|
| 143 |
+
"learning_rate": 4.970760233918128e-05,
|
| 144 |
+
"loss": 1.0927,
|
| 145 |
+
"step": 20
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"epoch": 6.67,
|
| 149 |
+
"eval_accuracy_dropoff": 0.6449789785650286,
|
| 150 |
+
"eval_accuracy_undropoff": 0.5299809582198437,
|
| 151 |
+
"eval_accuracy_unlabeled": NaN,
|
| 152 |
+
"eval_iou_dropoff": 0.12901550653889501,
|
| 153 |
+
"eval_iou_undropoff": 0.529796420189495,
|
| 154 |
+
"eval_iou_unlabeled": 0.0,
|
| 155 |
+
"eval_loss": 1.0984647274017334,
|
| 156 |
+
"eval_mean_accuracy": 0.5874799683924361,
|
| 157 |
+
"eval_mean_iou": 0.21960397557613,
|
| 158 |
+
"eval_overall_accuracy": 0.5350728352864583,
|
| 159 |
+
"eval_runtime": 1.7244,
|
| 160 |
+
"eval_samples_per_second": 8.699,
|
| 161 |
+
"eval_steps_per_second": 0.58,
|
| 162 |
+
"step": 20
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"epoch": 7.0,
|
| 166 |
+
"learning_rate": 4.956140350877193e-05,
|
| 167 |
+
"loss": 1.1371,
|
| 168 |
+
"step": 21
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"epoch": 7.33,
|
| 172 |
+
"learning_rate": 4.941520467836258e-05,
|
| 173 |
+
"loss": 1.064,
|
| 174 |
+
"step": 22
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 7.67,
|
| 178 |
+
"learning_rate": 4.926900584795322e-05,
|
| 179 |
+
"loss": 1.0567,
|
| 180 |
+
"step": 23
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"epoch": 8.0,
|
| 184 |
+
"learning_rate": 4.912280701754386e-05,
|
| 185 |
+
"loss": 1.0585,
|
| 186 |
+
"step": 24
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 8.33,
|
| 190 |
+
"learning_rate": 4.8976608187134504e-05,
|
| 191 |
+
"loss": 1.0397,
|
| 192 |
+
"step": 25
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 8.67,
|
| 196 |
+
"learning_rate": 4.883040935672515e-05,
|
| 197 |
+
"loss": 1.0011,
|
| 198 |
+
"step": 26
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 9.0,
|
| 202 |
+
"learning_rate": 4.868421052631579e-05,
|
| 203 |
+
"loss": 0.9476,
|
| 204 |
+
"step": 27
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"epoch": 9.33,
|
| 208 |
+
"learning_rate": 4.853801169590643e-05,
|
| 209 |
+
"loss": 0.9694,
|
| 210 |
+
"step": 28
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"epoch": 9.67,
|
| 214 |
+
"learning_rate": 4.839181286549708e-05,
|
| 215 |
+
"loss": 0.9674,
|
| 216 |
+
"step": 29
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 10.0,
|
| 220 |
+
"learning_rate": 4.824561403508772e-05,
|
| 221 |
+
"loss": 1.0578,
|
| 222 |
+
"step": 30
|
| 223 |
+
},
|
| 224 |
+
{
|
| 225 |
+
"epoch": 10.0,
|
| 226 |
+
"eval_accuracy_dropoff": 0.6399533622808832,
|
| 227 |
+
"eval_accuracy_undropoff": 0.8725462021281238,
|
| 228 |
+
"eval_accuracy_unlabeled": NaN,
|
| 229 |
+
"eval_iou_dropoff": 0.23667468886542886,
|
| 230 |
+
"eval_iou_undropoff": 0.8620580507674747,
|
| 231 |
+
"eval_iou_unlabeled": 0.0,
|
| 232 |
+
"eval_loss": 0.9785888195037842,
|
| 233 |
+
"eval_mean_accuracy": 0.7562497822045036,
|
| 234 |
+
"eval_mean_iou": 0.36624424654430116,
|
| 235 |
+
"eval_overall_accuracy": 0.8622474670410156,
|
| 236 |
+
"eval_runtime": 1.8276,
|
| 237 |
+
"eval_samples_per_second": 8.208,
|
| 238 |
+
"eval_steps_per_second": 0.547,
|
| 239 |
+
"step": 30
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 10.33,
|
| 243 |
+
"learning_rate": 4.8099415204678366e-05,
|
| 244 |
+
"loss": 0.9272,
|
| 245 |
+
"step": 31
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"epoch": 10.67,
|
| 249 |
+
"learning_rate": 4.7953216374269006e-05,
|
| 250 |
+
"loss": 0.9222,
|
| 251 |
+
"step": 32
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 11.0,
|
| 255 |
+
"learning_rate": 4.780701754385965e-05,
|
| 256 |
+
"loss": 0.8411,
|
| 257 |
+
"step": 33
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 11.33,
|
| 261 |
+
"learning_rate": 4.7660818713450294e-05,
|
| 262 |
+
"loss": 0.889,
|
| 263 |
+
"step": 34
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 11.67,
|
| 267 |
+
"learning_rate": 4.751461988304094e-05,
|
| 268 |
+
"loss": 0.8438,
|
| 269 |
+
"step": 35
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 12.0,
|
| 273 |
+
"learning_rate": 4.736842105263158e-05,
|
| 274 |
+
"loss": 0.86,
|
| 275 |
+
"step": 36
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 12.33,
|
| 279 |
+
"learning_rate": 4.722222222222222e-05,
|
| 280 |
+
"loss": 0.8268,
|
| 281 |
+
"step": 37
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 12.67,
|
| 285 |
+
"learning_rate": 4.707602339181287e-05,
|
| 286 |
+
"loss": 0.8049,
|
| 287 |
+
"step": 38
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"epoch": 13.0,
|
| 291 |
+
"learning_rate": 4.6929824561403515e-05,
|
| 292 |
+
"loss": 1.0057,
|
| 293 |
+
"step": 39
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"epoch": 13.33,
|
| 297 |
+
"learning_rate": 4.678362573099415e-05,
|
| 298 |
+
"loss": 0.788,
|
| 299 |
+
"step": 40
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"epoch": 13.33,
|
| 303 |
+
"eval_accuracy_dropoff": 0.536460128196292,
|
| 304 |
+
"eval_accuracy_undropoff": 0.964590165330336,
|
| 305 |
+
"eval_accuracy_unlabeled": NaN,
|
| 306 |
+
"eval_iou_dropoff": 0.3397820203137278,
|
| 307 |
+
"eval_iou_undropoff": 0.9467918336729614,
|
| 308 |
+
"eval_iou_unlabeled": 0.0,
|
| 309 |
+
"eval_loss": 0.7939841747283936,
|
| 310 |
+
"eval_mean_accuracy": 0.750525146763314,
|
| 311 |
+
"eval_mean_iou": 0.42885795132889637,
|
| 312 |
+
"eval_overall_accuracy": 0.9456334431966146,
|
| 313 |
+
"eval_runtime": 1.891,
|
| 314 |
+
"eval_samples_per_second": 7.932,
|
| 315 |
+
"eval_steps_per_second": 0.529,
|
| 316 |
+
"step": 40
|
| 317 |
+
},
|
| 318 |
+
{
|
| 319 |
+
"epoch": 13.67,
|
| 320 |
+
"learning_rate": 4.6637426900584796e-05,
|
| 321 |
+
"loss": 0.7872,
|
| 322 |
+
"step": 41
|
| 323 |
+
},
|
| 324 |
+
{
|
| 325 |
+
"epoch": 14.0,
|
| 326 |
+
"learning_rate": 4.649122807017544e-05,
|
| 327 |
+
"loss": 0.8197,
|
| 328 |
+
"step": 42
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"epoch": 14.33,
|
| 332 |
+
"learning_rate": 4.634502923976608e-05,
|
| 333 |
+
"loss": 0.7351,
|
| 334 |
+
"step": 43
|
| 335 |
+
},
|
| 336 |
+
{
|
| 337 |
+
"epoch": 14.67,
|
| 338 |
+
"learning_rate": 4.619883040935672e-05,
|
| 339 |
+
"loss": 0.7447,
|
| 340 |
+
"step": 44
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"epoch": 15.0,
|
| 344 |
+
"learning_rate": 4.605263157894737e-05,
|
| 345 |
+
"loss": 0.6917,
|
| 346 |
+
"step": 45
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 15.33,
|
| 350 |
+
"learning_rate": 4.590643274853802e-05,
|
| 351 |
+
"loss": 0.7277,
|
| 352 |
+
"step": 46
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 15.67,
|
| 356 |
+
"learning_rate": 4.576023391812866e-05,
|
| 357 |
+
"loss": 0.6602,
|
| 358 |
+
"step": 47
|
| 359 |
+
},
|
| 360 |
+
{
|
| 361 |
+
"epoch": 16.0,
|
| 362 |
+
"learning_rate": 4.56140350877193e-05,
|
| 363 |
+
"loss": 0.6809,
|
| 364 |
+
"step": 48
|
| 365 |
+
},
|
| 366 |
+
{
|
| 367 |
+
"epoch": 16.33,
|
| 368 |
+
"learning_rate": 4.5467836257309945e-05,
|
| 369 |
+
"loss": 0.6865,
|
| 370 |
+
"step": 49
|
| 371 |
+
},
|
| 372 |
+
{
|
| 373 |
+
"epoch": 16.67,
|
| 374 |
+
"learning_rate": 4.5321637426900585e-05,
|
| 375 |
+
"loss": 0.6353,
|
| 376 |
+
"step": 50
|
| 377 |
+
},
|
| 378 |
+
{
|
| 379 |
+
"epoch": 16.67,
|
| 380 |
+
"eval_accuracy_dropoff": 0.38302088358949615,
|
| 381 |
+
"eval_accuracy_undropoff": 0.9849956839341233,
|
| 382 |
+
"eval_accuracy_unlabeled": NaN,
|
| 383 |
+
"eval_iou_dropoff": 0.2966305629072793,
|
| 384 |
+
"eval_iou_undropoff": 0.9581110717398175,
|
| 385 |
+
"eval_iou_unlabeled": 0.0,
|
| 386 |
+
"eval_loss": 0.620606541633606,
|
| 387 |
+
"eval_mean_accuracy": 0.6840082837618098,
|
| 388 |
+
"eval_mean_iou": 0.41824721154903227,
|
| 389 |
+
"eval_overall_accuracy": 0.9583414713541667,
|
| 390 |
+
"eval_runtime": 1.7715,
|
| 391 |
+
"eval_samples_per_second": 8.467,
|
| 392 |
+
"eval_steps_per_second": 0.564,
|
| 393 |
+
"step": 50
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"epoch": 17.0,
|
| 397 |
+
"learning_rate": 4.517543859649123e-05,
|
| 398 |
+
"loss": 0.6601,
|
| 399 |
+
"step": 51
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"epoch": 17.33,
|
| 403 |
+
"learning_rate": 4.502923976608187e-05,
|
| 404 |
+
"loss": 0.6353,
|
| 405 |
+
"step": 52
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 17.67,
|
| 409 |
+
"learning_rate": 4.488304093567251e-05,
|
| 410 |
+
"loss": 0.6038,
|
| 411 |
+
"step": 53
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 18.0,
|
| 415 |
+
"learning_rate": 4.473684210526316e-05,
|
| 416 |
+
"loss": 0.5588,
|
| 417 |
+
"step": 54
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 18.33,
|
| 421 |
+
"learning_rate": 4.4590643274853806e-05,
|
| 422 |
+
"loss": 0.5965,
|
| 423 |
+
"step": 55
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 18.67,
|
| 427 |
+
"learning_rate": 4.4444444444444447e-05,
|
| 428 |
+
"loss": 0.5992,
|
| 429 |
+
"step": 56
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 19.0,
|
| 433 |
+
"learning_rate": 4.429824561403509e-05,
|
| 434 |
+
"loss": 0.7979,
|
| 435 |
+
"step": 57
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 19.33,
|
| 439 |
+
"learning_rate": 4.4152046783625734e-05,
|
| 440 |
+
"loss": 0.5471,
|
| 441 |
+
"step": 58
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 19.67,
|
| 445 |
+
"learning_rate": 4.400584795321638e-05,
|
| 446 |
+
"loss": 0.5725,
|
| 447 |
+
"step": 59
|
| 448 |
+
},
|
| 449 |
+
{
|
| 450 |
+
"epoch": 20.0,
|
| 451 |
+
"learning_rate": 4.3859649122807014e-05,
|
| 452 |
+
"loss": 0.6944,
|
| 453 |
+
"step": 60
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 20.0,
|
| 457 |
+
"eval_accuracy_dropoff": 0.36309072529694214,
|
| 458 |
+
"eval_accuracy_undropoff": 0.9900834262005954,
|
| 459 |
+
"eval_accuracy_unlabeled": NaN,
|
| 460 |
+
"eval_iou_dropoff": 0.30135334188209384,
|
| 461 |
+
"eval_iou_undropoff": 0.9619544548614083,
|
| 462 |
+
"eval_iou_unlabeled": 0.0,
|
| 463 |
+
"eval_loss": 0.52126544713974,
|
| 464 |
+
"eval_mean_accuracy": 0.6765870757487688,
|
| 465 |
+
"eval_mean_iou": 0.4211025989145007,
|
| 466 |
+
"eval_overall_accuracy": 0.9623214721679687,
|
| 467 |
+
"eval_runtime": 1.857,
|
| 468 |
+
"eval_samples_per_second": 8.078,
|
| 469 |
+
"eval_steps_per_second": 0.539,
|
| 470 |
+
"step": 60
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 20.33,
|
| 474 |
+
"learning_rate": 4.371345029239766e-05,
|
| 475 |
+
"loss": 0.5386,
|
| 476 |
+
"step": 61
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 20.67,
|
| 480 |
+
"learning_rate": 4.356725146198831e-05,
|
| 481 |
+
"loss": 0.5411,
|
| 482 |
+
"step": 62
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 21.0,
|
| 486 |
+
"learning_rate": 4.342105263157895e-05,
|
| 487 |
+
"loss": 0.8263,
|
| 488 |
+
"step": 63
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 21.33,
|
| 492 |
+
"learning_rate": 4.327485380116959e-05,
|
| 493 |
+
"loss": 0.556,
|
| 494 |
+
"step": 64
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 21.67,
|
| 498 |
+
"learning_rate": 4.3128654970760236e-05,
|
| 499 |
+
"loss": 0.5597,
|
| 500 |
+
"step": 65
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 22.0,
|
| 504 |
+
"learning_rate": 4.298245614035088e-05,
|
| 505 |
+
"loss": 0.5996,
|
| 506 |
+
"step": 66
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 22.33,
|
| 510 |
+
"learning_rate": 4.283625730994152e-05,
|
| 511 |
+
"loss": 0.5711,
|
| 512 |
+
"step": 67
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
"epoch": 22.67,
|
| 516 |
+
"learning_rate": 4.269005847953216e-05,
|
| 517 |
+
"loss": 0.5204,
|
| 518 |
+
"step": 68
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 23.0,
|
| 522 |
+
"learning_rate": 4.254385964912281e-05,
|
| 523 |
+
"loss": 0.8124,
|
| 524 |
+
"step": 69
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 23.33,
|
| 528 |
+
"learning_rate": 4.239766081871345e-05,
|
| 529 |
+
"loss": 0.5046,
|
| 530 |
+
"step": 70
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"epoch": 23.33,
|
| 534 |
+
"eval_accuracy_dropoff": 0.36825418705630986,
|
| 535 |
+
"eval_accuracy_undropoff": 0.9909756437643757,
|
| 536 |
+
"eval_accuracy_unlabeled": NaN,
|
| 537 |
+
"eval_iou_dropoff": 0.30895554752439464,
|
| 538 |
+
"eval_iou_undropoff": 0.9628048952316295,
|
| 539 |
+
"eval_iou_unlabeled": 0.0,
|
| 540 |
+
"eval_loss": 0.4764857590198517,
|
| 541 |
+
"eval_mean_accuracy": 0.6796149154103428,
|
| 542 |
+
"eval_mean_iou": 0.42392014758534136,
|
| 543 |
+
"eval_overall_accuracy": 0.9634028116861979,
|
| 544 |
+
"eval_runtime": 1.754,
|
| 545 |
+
"eval_samples_per_second": 8.552,
|
| 546 |
+
"eval_steps_per_second": 0.57,
|
| 547 |
+
"step": 70
|
| 548 |
+
},
|
| 549 |
+
{
|
| 550 |
+
"epoch": 23.67,
|
| 551 |
+
"learning_rate": 4.22514619883041e-05,
|
| 552 |
+
"loss": 0.5107,
|
| 553 |
+
"step": 71
|
| 554 |
+
},
|
| 555 |
+
{
|
| 556 |
+
"epoch": 24.0,
|
| 557 |
+
"learning_rate": 4.210526315789474e-05,
|
| 558 |
+
"loss": 0.5692,
|
| 559 |
+
"step": 72
|
| 560 |
+
},
|
| 561 |
+
{
|
| 562 |
+
"epoch": 24.33,
|
| 563 |
+
"learning_rate": 4.195906432748538e-05,
|
| 564 |
+
"loss": 0.4992,
|
| 565 |
+
"step": 73
|
| 566 |
+
},
|
| 567 |
+
{
|
| 568 |
+
"epoch": 24.67,
|
| 569 |
+
"learning_rate": 4.1812865497076025e-05,
|
| 570 |
+
"loss": 0.514,
|
| 571 |
+
"step": 74
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 25.0,
|
| 575 |
+
"learning_rate": 4.166666666666667e-05,
|
| 576 |
+
"loss": 0.7924,
|
| 577 |
+
"step": 75
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 25.33,
|
| 581 |
+
"learning_rate": 4.152046783625731e-05,
|
| 582 |
+
"loss": 0.4816,
|
| 583 |
+
"step": 76
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 25.67,
|
| 587 |
+
"learning_rate": 4.137426900584795e-05,
|
| 588 |
+
"loss": 0.4831,
|
| 589 |
+
"step": 77
|
| 590 |
+
},
|
| 591 |
+
{
|
| 592 |
+
"epoch": 26.0,
|
| 593 |
+
"learning_rate": 4.12280701754386e-05,
|
| 594 |
+
"loss": 0.8194,
|
| 595 |
+
"step": 78
|
| 596 |
+
},
|
| 597 |
+
{
|
| 598 |
+
"epoch": 26.33,
|
| 599 |
+
"learning_rate": 4.1081871345029247e-05,
|
| 600 |
+
"loss": 0.5093,
|
| 601 |
+
"step": 79
|
| 602 |
+
},
|
| 603 |
+
{
|
| 604 |
+
"epoch": 26.67,
|
| 605 |
+
"learning_rate": 4.093567251461988e-05,
|
| 606 |
+
"loss": 0.4684,
|
| 607 |
+
"step": 80
|
| 608 |
+
},
|
| 609 |
+
{
|
| 610 |
+
"epoch": 26.67,
|
| 611 |
+
"eval_accuracy_dropoff": 0.27794242653984885,
|
| 612 |
+
"eval_accuracy_undropoff": 0.9914216194986126,
|
| 613 |
+
"eval_accuracy_unlabeled": NaN,
|
| 614 |
+
"eval_iou_dropoff": 0.23522092062411898,
|
| 615 |
+
"eval_iou_undropoff": 0.9593306905362942,
|
| 616 |
+
"eval_iou_unlabeled": 0.0,
|
| 617 |
+
"eval_loss": 0.4643230140209198,
|
| 618 |
+
"eval_mean_accuracy": 0.6346820230192307,
|
| 619 |
+
"eval_mean_iou": 0.39818387038680436,
|
| 620 |
+
"eval_overall_accuracy": 0.9598302205403646,
|
| 621 |
+
"eval_runtime": 1.7927,
|
| 622 |
+
"eval_samples_per_second": 8.367,
|
| 623 |
+
"eval_steps_per_second": 0.558,
|
| 624 |
+
"step": 80
|
| 625 |
+
},
|
| 626 |
+
{
|
| 627 |
+
"epoch": 27.0,
|
| 628 |
+
"learning_rate": 4.078947368421053e-05,
|
| 629 |
+
"loss": 0.5992,
|
| 630 |
+
"step": 81
|
| 631 |
+
},
|
| 632 |
+
{
|
| 633 |
+
"epoch": 27.33,
|
| 634 |
+
"learning_rate": 4.0643274853801174e-05,
|
| 635 |
+
"loss": 0.505,
|
| 636 |
+
"step": 82
|
| 637 |
+
},
|
| 638 |
+
{
|
| 639 |
+
"epoch": 27.67,
|
| 640 |
+
"learning_rate": 4.0497076023391814e-05,
|
| 641 |
+
"loss": 0.4917,
|
| 642 |
+
"step": 83
|
| 643 |
+
},
|
| 644 |
+
{
|
| 645 |
+
"epoch": 28.0,
|
| 646 |
+
"learning_rate": 4.0350877192982455e-05,
|
| 647 |
+
"loss": 0.4608,
|
| 648 |
+
"step": 84
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 28.33,
|
| 652 |
+
"learning_rate": 4.02046783625731e-05,
|
| 653 |
+
"loss": 0.4843,
|
| 654 |
+
"step": 85
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 28.67,
|
| 658 |
+
"learning_rate": 4.005847953216375e-05,
|
| 659 |
+
"loss": 0.4416,
|
| 660 |
+
"step": 86
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 29.0,
|
| 664 |
+
"learning_rate": 3.991228070175439e-05,
|
| 665 |
+
"loss": 0.7439,
|
| 666 |
+
"step": 87
|
| 667 |
+
},
|
| 668 |
+
{
|
| 669 |
+
"epoch": 29.33,
|
| 670 |
+
"learning_rate": 3.976608187134503e-05,
|
| 671 |
+
"loss": 0.4523,
|
| 672 |
+
"step": 88
|
| 673 |
+
},
|
| 674 |
+
{
|
| 675 |
+
"epoch": 29.67,
|
| 676 |
+
"learning_rate": 3.9619883040935676e-05,
|
| 677 |
+
"loss": 0.4525,
|
| 678 |
+
"step": 89
|
| 679 |
+
},
|
| 680 |
+
{
|
| 681 |
+
"epoch": 30.0,
|
| 682 |
+
"learning_rate": 3.9473684210526316e-05,
|
| 683 |
+
"loss": 0.4401,
|
| 684 |
+
"step": 90
|
| 685 |
+
},
|
| 686 |
+
{
|
| 687 |
+
"epoch": 30.0,
|
| 688 |
+
"eval_accuracy_dropoff": 0.3077400234337308,
|
| 689 |
+
"eval_accuracy_undropoff": 0.9935777897698063,
|
| 690 |
+
"eval_accuracy_unlabeled": NaN,
|
| 691 |
+
"eval_iou_dropoff": 0.2703275413210631,
|
| 692 |
+
"eval_iou_undropoff": 0.9627020713766379,
|
| 693 |
+
"eval_iou_unlabeled": 0.0,
|
| 694 |
+
"eval_loss": 0.44831418991088867,
|
| 695 |
+
"eval_mean_accuracy": 0.6506589066017685,
|
| 696 |
+
"eval_mean_iou": 0.41100987089923363,
|
| 697 |
+
"eval_overall_accuracy": 0.9632102966308593,
|
| 698 |
+
"eval_runtime": 1.8561,
|
| 699 |
+
"eval_samples_per_second": 8.082,
|
| 700 |
+
"eval_steps_per_second": 0.539,
|
| 701 |
+
"step": 90
|
| 702 |
+
},
|
| 703 |
+
{
|
| 704 |
+
"epoch": 30.33,
|
| 705 |
+
"learning_rate": 3.932748538011696e-05,
|
| 706 |
+
"loss": 0.4473,
|
| 707 |
+
"step": 91
|
| 708 |
+
},
|
| 709 |
+
{
|
| 710 |
+
"epoch": 30.67,
|
| 711 |
+
"learning_rate": 3.9181286549707604e-05,
|
| 712 |
+
"loss": 0.4753,
|
| 713 |
+
"step": 92
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"epoch": 31.0,
|
| 717 |
+
"learning_rate": 3.9035087719298244e-05,
|
| 718 |
+
"loss": 0.7232,
|
| 719 |
+
"step": 93
|
| 720 |
+
},
|
| 721 |
+
{
|
| 722 |
+
"epoch": 31.33,
|
| 723 |
+
"learning_rate": 3.888888888888889e-05,
|
| 724 |
+
"loss": 0.4391,
|
| 725 |
+
"step": 94
|
| 726 |
+
},
|
| 727 |
+
{
|
| 728 |
+
"epoch": 31.67,
|
| 729 |
+
"learning_rate": 3.874269005847954e-05,
|
| 730 |
+
"loss": 0.4428,
|
| 731 |
+
"step": 95
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 32.0,
|
| 735 |
+
"learning_rate": 3.859649122807018e-05,
|
| 736 |
+
"loss": 0.457,
|
| 737 |
+
"step": 96
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 32.33,
|
| 741 |
+
"learning_rate": 3.845029239766082e-05,
|
| 742 |
+
"loss": 0.4326,
|
| 743 |
+
"step": 97
|
| 744 |
+
},
|
| 745 |
+
{
|
| 746 |
+
"epoch": 32.67,
|
| 747 |
+
"learning_rate": 3.8304093567251465e-05,
|
| 748 |
+
"loss": 0.4359,
|
| 749 |
+
"step": 98
|
| 750 |
+
},
|
| 751 |
+
{
|
| 752 |
+
"epoch": 33.0,
|
| 753 |
+
"learning_rate": 3.815789473684211e-05,
|
| 754 |
+
"loss": 0.7037,
|
| 755 |
+
"step": 99
|
| 756 |
+
},
|
| 757 |
+
{
|
| 758 |
+
"epoch": 33.33,
|
| 759 |
+
"learning_rate": 3.8011695906432746e-05,
|
| 760 |
+
"loss": 0.4268,
|
| 761 |
+
"step": 100
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 33.33,
|
| 765 |
+
"eval_accuracy_dropoff": 0.4108484388999931,
|
| 766 |
+
"eval_accuracy_undropoff": 0.9894514498468887,
|
| 767 |
+
"eval_accuracy_unlabeled": NaN,
|
| 768 |
+
"eval_iou_dropoff": 0.33465263157894737,
|
| 769 |
+
"eval_iou_undropoff": 0.9631619518896926,
|
| 770 |
+
"eval_iou_unlabeled": NaN,
|
| 771 |
+
"eval_loss": 0.4365720748901367,
|
| 772 |
+
"eval_mean_accuracy": 0.7001499443734409,
|
| 773 |
+
"eval_mean_iou": 0.6489072917343199,
|
| 774 |
+
"eval_overall_accuracy": 0.9638320922851562,
|
| 775 |
+
"eval_runtime": 1.7768,
|
| 776 |
+
"eval_samples_per_second": 8.442,
|
| 777 |
+
"eval_steps_per_second": 0.563,
|
| 778 |
+
"step": 100
|
| 779 |
+
},
|
| 780 |
+
{
|
| 781 |
+
"epoch": 33.67,
|
| 782 |
+
"learning_rate": 3.786549707602339e-05,
|
| 783 |
+
"loss": 0.4203,
|
| 784 |
+
"step": 101
|
| 785 |
+
},
|
| 786 |
+
{
|
| 787 |
+
"epoch": 34.0,
|
| 788 |
+
"learning_rate": 3.771929824561404e-05,
|
| 789 |
+
"loss": 0.6864,
|
| 790 |
+
"step": 102
|
| 791 |
+
},
|
| 792 |
+
{
|
| 793 |
+
"epoch": 34.33,
|
| 794 |
+
"learning_rate": 3.757309941520468e-05,
|
| 795 |
+
"loss": 0.4093,
|
| 796 |
+
"step": 103
|
| 797 |
+
},
|
| 798 |
+
{
|
| 799 |
+
"epoch": 34.67,
|
| 800 |
+
"learning_rate": 3.742690058479532e-05,
|
| 801 |
+
"loss": 0.4149,
|
| 802 |
+
"step": 104
|
| 803 |
+
},
|
| 804 |
+
{
|
| 805 |
+
"epoch": 35.0,
|
| 806 |
+
"learning_rate": 3.728070175438597e-05,
|
| 807 |
+
"loss": 0.3847,
|
| 808 |
+
"step": 105
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 35.33,
|
| 812 |
+
"learning_rate": 3.713450292397661e-05,
|
| 813 |
+
"loss": 0.4227,
|
| 814 |
+
"step": 106
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 35.67,
|
| 818 |
+
"learning_rate": 3.6988304093567254e-05,
|
| 819 |
+
"loss": 0.3916,
|
| 820 |
+
"step": 107
|
| 821 |
+
},
|
| 822 |
+
{
|
| 823 |
+
"epoch": 36.0,
|
| 824 |
+
"learning_rate": 3.6842105263157895e-05,
|
| 825 |
+
"loss": 0.6716,
|
| 826 |
+
"step": 108
|
| 827 |
+
},
|
| 828 |
+
{
|
| 829 |
+
"epoch": 36.33,
|
| 830 |
+
"learning_rate": 3.669590643274854e-05,
|
| 831 |
+
"loss": 0.4096,
|
| 832 |
+
"step": 109
|
| 833 |
+
},
|
| 834 |
+
{
|
| 835 |
+
"epoch": 36.67,
|
| 836 |
+
"learning_rate": 3.654970760233918e-05,
|
| 837 |
+
"loss": 0.3939,
|
| 838 |
+
"step": 110
|
| 839 |
+
},
|
| 840 |
+
{
|
| 841 |
+
"epoch": 36.67,
|
| 842 |
+
"eval_accuracy_dropoff": 0.36697911641050385,
|
| 843 |
+
"eval_accuracy_undropoff": 0.9927164392616175,
|
| 844 |
+
"eval_accuracy_unlabeled": NaN,
|
| 845 |
+
"eval_iou_dropoff": 0.3171232876712329,
|
| 846 |
+
"eval_iou_undropoff": 0.9644338706379278,
|
| 847 |
+
"eval_iou_unlabeled": 0.0,
|
| 848 |
+
"eval_loss": 0.4026946723461151,
|
| 849 |
+
"eval_mean_accuracy": 0.6798477778360607,
|
| 850 |
+
"eval_mean_iou": 0.4271857194363869,
|
| 851 |
+
"eval_overall_accuracy": 0.9650100708007813,
|
| 852 |
+
"eval_runtime": 1.777,
|
| 853 |
+
"eval_samples_per_second": 8.441,
|
| 854 |
+
"eval_steps_per_second": 0.563,
|
| 855 |
+
"step": 110
|
| 856 |
+
},
|
| 857 |
+
{
|
| 858 |
+
"epoch": 37.0,
|
| 859 |
+
"learning_rate": 3.640350877192983e-05,
|
| 860 |
+
"loss": 0.4204,
|
| 861 |
+
"step": 111
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"epoch": 37.33,
|
| 865 |
+
"learning_rate": 3.625730994152047e-05,
|
| 866 |
+
"loss": 0.4005,
|
| 867 |
+
"step": 112
|
| 868 |
+
},
|
| 869 |
+
{
|
| 870 |
+
"epoch": 37.67,
|
| 871 |
+
"learning_rate": 3.611111111111111e-05,
|
| 872 |
+
"loss": 0.4024,
|
| 873 |
+
"step": 113
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 38.0,
|
| 877 |
+
"learning_rate": 3.5964912280701756e-05,
|
| 878 |
+
"loss": 0.6594,
|
| 879 |
+
"step": 114
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
"epoch": 38.33,
|
| 883 |
+
"learning_rate": 3.5818713450292403e-05,
|
| 884 |
+
"loss": 0.3816,
|
| 885 |
+
"step": 115
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 38.67,
|
| 889 |
+
"learning_rate": 3.5672514619883044e-05,
|
| 890 |
+
"loss": 0.4391,
|
| 891 |
+
"step": 116
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 39.0,
|
| 895 |
+
"learning_rate": 3.5526315789473684e-05,
|
| 896 |
+
"loss": 0.4499,
|
| 897 |
+
"step": 117
|
| 898 |
+
},
|
| 899 |
+
{
|
| 900 |
+
"epoch": 39.33,
|
| 901 |
+
"learning_rate": 3.538011695906433e-05,
|
| 902 |
+
"loss": 0.3772,
|
| 903 |
+
"step": 118
|
| 904 |
+
},
|
| 905 |
+
{
|
| 906 |
+
"epoch": 39.67,
|
| 907 |
+
"learning_rate": 3.523391812865498e-05,
|
| 908 |
+
"loss": 0.3751,
|
| 909 |
+
"step": 119
|
| 910 |
+
},
|
| 911 |
+
{
|
| 912 |
+
"epoch": 40.0,
|
| 913 |
+
"learning_rate": 3.508771929824561e-05,
|
| 914 |
+
"loss": 0.4472,
|
| 915 |
+
"step": 120
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"epoch": 40.0,
|
| 919 |
+
"eval_accuracy_dropoff": 0.38870700944241504,
|
| 920 |
+
"eval_accuracy_undropoff": 0.9904841657326722,
|
| 921 |
+
"eval_accuracy_unlabeled": NaN,
|
| 922 |
+
"eval_iou_dropoff": 0.3224725900442657,
|
| 923 |
+
"eval_iou_undropoff": 0.963205427478915,
|
| 924 |
+
"eval_iou_unlabeled": NaN,
|
| 925 |
+
"eval_loss": 0.4159059226512909,
|
| 926 |
+
"eval_mean_accuracy": 0.6895955875875436,
|
| 927 |
+
"eval_mean_iou": 0.6428390087615904,
|
| 928 |
+
"eval_overall_accuracy": 0.9638387044270833,
|
| 929 |
+
"eval_runtime": 1.8087,
|
| 930 |
+
"eval_samples_per_second": 8.293,
|
| 931 |
+
"eval_steps_per_second": 0.553,
|
| 932 |
+
"step": 120
|
| 933 |
+
},
|
| 934 |
+
{
|
| 935 |
+
"epoch": 40.33,
|
| 936 |
+
"learning_rate": 3.494152046783626e-05,
|
| 937 |
+
"loss": 0.3815,
|
| 938 |
+
"step": 121
|
| 939 |
+
},
|
| 940 |
+
{
|
| 941 |
+
"epoch": 40.67,
|
| 942 |
+
"learning_rate": 3.4795321637426905e-05,
|
| 943 |
+
"loss": 0.3682,
|
| 944 |
+
"step": 122
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 41.0,
|
| 948 |
+
"learning_rate": 3.4649122807017546e-05,
|
| 949 |
+
"loss": 0.6125,
|
| 950 |
+
"step": 123
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 41.33,
|
| 954 |
+
"learning_rate": 3.4502923976608186e-05,
|
| 955 |
+
"loss": 0.365,
|
| 956 |
+
"step": 124
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 41.67,
|
| 960 |
+
"learning_rate": 3.435672514619883e-05,
|
| 961 |
+
"loss": 0.3718,
|
| 962 |
+
"step": 125
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 42.0,
|
| 966 |
+
"learning_rate": 3.421052631578947e-05,
|
| 967 |
+
"loss": 0.3577,
|
| 968 |
+
"step": 126
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 42.33,
|
| 972 |
+
"learning_rate": 3.406432748538012e-05,
|
| 973 |
+
"loss": 0.3627,
|
| 974 |
+
"step": 127
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 42.67,
|
| 978 |
+
"learning_rate": 3.391812865497076e-05,
|
| 979 |
+
"loss": 0.363,
|
| 980 |
+
"step": 128
|
| 981 |
+
},
|
| 982 |
+
{
|
| 983 |
+
"epoch": 43.0,
|
| 984 |
+
"learning_rate": 3.377192982456141e-05,
|
| 985 |
+
"loss": 0.5795,
|
| 986 |
+
"step": 129
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"epoch": 43.33,
|
| 990 |
+
"learning_rate": 3.362573099415205e-05,
|
| 991 |
+
"loss": 0.3618,
|
| 992 |
+
"step": 130
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 43.33,
|
| 996 |
+
"eval_accuracy_dropoff": 0.3402313506559147,
|
| 997 |
+
"eval_accuracy_undropoff": 0.9938960397567675,
|
| 998 |
+
"eval_accuracy_unlabeled": NaN,
|
| 999 |
+
"eval_iou_dropoff": 0.3006237090643349,
|
| 1000 |
+
"eval_iou_undropoff": 0.964417056574582,
|
| 1001 |
+
"eval_iou_unlabeled": NaN,
|
| 1002 |
+
"eval_loss": 0.37652963399887085,
|
| 1003 |
+
"eval_mean_accuracy": 0.6670636952063411,
|
| 1004 |
+
"eval_mean_iou": 0.6325203828194584,
|
| 1005 |
+
"eval_overall_accuracy": 0.9649531046549479,
|
| 1006 |
+
"eval_runtime": 1.8655,
|
| 1007 |
+
"eval_samples_per_second": 8.041,
|
| 1008 |
+
"eval_steps_per_second": 0.536,
|
| 1009 |
+
"step": 130
|
| 1010 |
+
},
|
| 1011 |
+
{
|
| 1012 |
+
"epoch": 43.67,
|
| 1013 |
+
"learning_rate": 3.3479532163742695e-05,
|
| 1014 |
+
"loss": 0.3473,
|
| 1015 |
+
"step": 131
|
| 1016 |
+
},
|
| 1017 |
+
{
|
| 1018 |
+
"epoch": 44.0,
|
| 1019 |
+
"learning_rate": 3.3333333333333335e-05,
|
| 1020 |
+
"loss": 0.5669,
|
| 1021 |
+
"step": 132
|
| 1022 |
+
},
|
| 1023 |
+
{
|
| 1024 |
+
"epoch": 44.33,
|
| 1025 |
+
"learning_rate": 3.3187134502923975e-05,
|
| 1026 |
+
"loss": 0.3485,
|
| 1027 |
+
"step": 133
|
| 1028 |
+
},
|
| 1029 |
+
{
|
| 1030 |
+
"epoch": 44.67,
|
| 1031 |
+
"learning_rate": 3.304093567251462e-05,
|
| 1032 |
+
"loss": 0.3792,
|
| 1033 |
+
"step": 134
|
| 1034 |
+
},
|
| 1035 |
+
{
|
| 1036 |
+
"epoch": 45.0,
|
| 1037 |
+
"learning_rate": 3.289473684210527e-05,
|
| 1038 |
+
"loss": 0.37,
|
| 1039 |
+
"step": 135
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 45.33,
|
| 1043 |
+
"learning_rate": 3.274853801169591e-05,
|
| 1044 |
+
"loss": 0.3561,
|
| 1045 |
+
"step": 136
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 45.67,
|
| 1049 |
+
"learning_rate": 3.260233918128655e-05,
|
| 1050 |
+
"loss": 0.3428,
|
| 1051 |
+
"step": 137
|
| 1052 |
+
},
|
| 1053 |
+
{
|
| 1054 |
+
"epoch": 46.0,
|
| 1055 |
+
"learning_rate": 3.24561403508772e-05,
|
| 1056 |
+
"loss": 0.3342,
|
| 1057 |
+
"step": 138
|
| 1058 |
+
},
|
| 1059 |
+
{
|
| 1060 |
+
"epoch": 46.33,
|
| 1061 |
+
"learning_rate": 3.230994152046784e-05,
|
| 1062 |
+
"loss": 0.3489,
|
| 1063 |
+
"step": 139
|
| 1064 |
+
},
|
| 1065 |
+
{
|
| 1066 |
+
"epoch": 46.67,
|
| 1067 |
+
"learning_rate": 3.216374269005848e-05,
|
| 1068 |
+
"loss": 0.3456,
|
| 1069 |
+
"step": 140
|
| 1070 |
+
},
|
| 1071 |
+
{
|
| 1072 |
+
"epoch": 46.67,
|
| 1073 |
+
"eval_accuracy_dropoff": 0.37153950421577414,
|
| 1074 |
+
"eval_accuracy_undropoff": 0.9917358780559715,
|
| 1075 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1076 |
+
"eval_iou_dropoff": 0.3152974435210684,
|
| 1077 |
+
"eval_iou_undropoff": 0.9636773065196076,
|
| 1078 |
+
"eval_iou_unlabeled": NaN,
|
| 1079 |
+
"eval_loss": 0.3671184182167053,
|
| 1080 |
+
"eval_mean_accuracy": 0.6816376911358728,
|
| 1081 |
+
"eval_mean_iou": 0.639487375020338,
|
| 1082 |
+
"eval_overall_accuracy": 0.9642748514811198,
|
| 1083 |
+
"eval_runtime": 1.7082,
|
| 1084 |
+
"eval_samples_per_second": 8.781,
|
| 1085 |
+
"eval_steps_per_second": 0.585,
|
| 1086 |
+
"step": 140
|
| 1087 |
+
},
|
| 1088 |
+
{
|
| 1089 |
+
"epoch": 47.0,
|
| 1090 |
+
"learning_rate": 3.2017543859649124e-05,
|
| 1091 |
+
"loss": 0.4194,
|
| 1092 |
+
"step": 141
|
| 1093 |
+
},
|
| 1094 |
+
{
|
| 1095 |
+
"epoch": 47.33,
|
| 1096 |
+
"learning_rate": 3.187134502923977e-05,
|
| 1097 |
+
"loss": 0.3389,
|
| 1098 |
+
"step": 142
|
| 1099 |
+
},
|
| 1100 |
+
{
|
| 1101 |
+
"epoch": 47.67,
|
| 1102 |
+
"learning_rate": 3.172514619883041e-05,
|
| 1103 |
+
"loss": 0.3342,
|
| 1104 |
+
"step": 143
|
| 1105 |
+
},
|
| 1106 |
+
{
|
| 1107 |
+
"epoch": 48.0,
|
| 1108 |
+
"learning_rate": 3.157894736842105e-05,
|
| 1109 |
+
"loss": 0.5441,
|
| 1110 |
+
"step": 144
|
| 1111 |
+
},
|
| 1112 |
+
{
|
| 1113 |
+
"epoch": 48.33,
|
| 1114 |
+
"learning_rate": 3.14327485380117e-05,
|
| 1115 |
+
"loss": 0.3351,
|
| 1116 |
+
"step": 145
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 48.67,
|
| 1120 |
+
"learning_rate": 3.128654970760234e-05,
|
| 1121 |
+
"loss": 0.3305,
|
| 1122 |
+
"step": 146
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 49.0,
|
| 1126 |
+
"learning_rate": 3.1140350877192986e-05,
|
| 1127 |
+
"loss": 0.3938,
|
| 1128 |
+
"step": 147
|
| 1129 |
+
},
|
| 1130 |
+
{
|
| 1131 |
+
"epoch": 49.33,
|
| 1132 |
+
"learning_rate": 3.0994152046783626e-05,
|
| 1133 |
+
"loss": 0.3272,
|
| 1134 |
+
"step": 148
|
| 1135 |
+
},
|
| 1136 |
+
{
|
| 1137 |
+
"epoch": 49.67,
|
| 1138 |
+
"learning_rate": 3.084795321637427e-05,
|
| 1139 |
+
"loss": 0.3305,
|
| 1140 |
+
"step": 149
|
| 1141 |
+
},
|
| 1142 |
+
{
|
| 1143 |
+
"epoch": 50.0,
|
| 1144 |
+
"learning_rate": 3.0701754385964913e-05,
|
| 1145 |
+
"loss": 0.3352,
|
| 1146 |
+
"step": 150
|
| 1147 |
+
},
|
| 1148 |
+
{
|
| 1149 |
+
"epoch": 50.0,
|
| 1150 |
+
"eval_accuracy_dropoff": 0.3754623566981414,
|
| 1151 |
+
"eval_accuracy_undropoff": 0.9922707296226875,
|
| 1152 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1153 |
+
"eval_iou_dropoff": 0.3217789372646501,
|
| 1154 |
+
"eval_iou_undropoff": 0.9643673342403736,
|
| 1155 |
+
"eval_iou_unlabeled": NaN,
|
| 1156 |
+
"eval_loss": 0.3572177588939667,
|
| 1157 |
+
"eval_mean_accuracy": 0.6838665431604144,
|
| 1158 |
+
"eval_mean_iou": 0.6430731357525119,
|
| 1159 |
+
"eval_overall_accuracy": 0.964959716796875,
|
| 1160 |
+
"eval_runtime": 1.8157,
|
| 1161 |
+
"eval_samples_per_second": 8.261,
|
| 1162 |
+
"eval_steps_per_second": 0.551,
|
| 1163 |
+
"step": 150
|
| 1164 |
+
},
|
| 1165 |
+
{
|
| 1166 |
+
"epoch": 50.33,
|
| 1167 |
+
"learning_rate": 3.055555555555556e-05,
|
| 1168 |
+
"loss": 0.3312,
|
| 1169 |
+
"step": 151
|
| 1170 |
+
},
|
| 1171 |
+
{
|
| 1172 |
+
"epoch": 50.67,
|
| 1173 |
+
"learning_rate": 3.0409356725146197e-05,
|
| 1174 |
+
"loss": 0.321,
|
| 1175 |
+
"step": 152
|
| 1176 |
+
},
|
| 1177 |
+
{
|
| 1178 |
+
"epoch": 51.0,
|
| 1179 |
+
"learning_rate": 3.0263157894736844e-05,
|
| 1180 |
+
"loss": 0.3254,
|
| 1181 |
+
"step": 153
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"epoch": 51.33,
|
| 1185 |
+
"learning_rate": 3.0116959064327488e-05,
|
| 1186 |
+
"loss": 0.3363,
|
| 1187 |
+
"step": 154
|
| 1188 |
+
},
|
| 1189 |
+
{
|
| 1190 |
+
"epoch": 51.67,
|
| 1191 |
+
"learning_rate": 2.997076023391813e-05,
|
| 1192 |
+
"loss": 0.309,
|
| 1193 |
+
"step": 155
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 52.0,
|
| 1197 |
+
"learning_rate": 2.9824561403508772e-05,
|
| 1198 |
+
"loss": 0.5117,
|
| 1199 |
+
"step": 156
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 52.33,
|
| 1203 |
+
"learning_rate": 2.9678362573099415e-05,
|
| 1204 |
+
"loss": 0.3175,
|
| 1205 |
+
"step": 157
|
| 1206 |
+
},
|
| 1207 |
+
{
|
| 1208 |
+
"epoch": 52.67,
|
| 1209 |
+
"learning_rate": 2.9532163742690062e-05,
|
| 1210 |
+
"loss": 0.3249,
|
| 1211 |
+
"step": 158
|
| 1212 |
+
},
|
| 1213 |
+
{
|
| 1214 |
+
"epoch": 53.0,
|
| 1215 |
+
"learning_rate": 2.9385964912280706e-05,
|
| 1216 |
+
"loss": 0.3119,
|
| 1217 |
+
"step": 159
|
| 1218 |
+
},
|
| 1219 |
+
{
|
| 1220 |
+
"epoch": 53.33,
|
| 1221 |
+
"learning_rate": 2.9239766081871346e-05,
|
| 1222 |
+
"loss": 0.3143,
|
| 1223 |
+
"step": 160
|
| 1224 |
+
},
|
| 1225 |
+
{
|
| 1226 |
+
"epoch": 53.33,
|
| 1227 |
+
"eval_accuracy_dropoff": 0.34666988306108854,
|
| 1228 |
+
"eval_accuracy_undropoff": 0.9937688462001057,
|
| 1229 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1230 |
+
"eval_iou_dropoff": 0.3055714466523225,
|
| 1231 |
+
"eval_iou_undropoff": 0.9645728268129413,
|
| 1232 |
+
"eval_iou_unlabeled": NaN,
|
| 1233 |
+
"eval_loss": 0.34511667490005493,
|
| 1234 |
+
"eval_mean_accuracy": 0.6702193646305972,
|
| 1235 |
+
"eval_mean_iou": 0.635072136732632,
|
| 1236 |
+
"eval_overall_accuracy": 0.9651166280110677,
|
| 1237 |
+
"eval_runtime": 1.7723,
|
| 1238 |
+
"eval_samples_per_second": 8.464,
|
| 1239 |
+
"eval_steps_per_second": 0.564,
|
| 1240 |
+
"step": 160
|
| 1241 |
+
}
|
| 1242 |
+
],
|
| 1243 |
+
"max_steps": 360,
|
| 1244 |
+
"num_train_epochs": 120,
|
| 1245 |
+
"total_flos": 3.186802778701824e+16,
|
| 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 sha256:1813782633a0d6c2426d83aa606871360dd35c92d93362d8c76b8eaffce22cba
|
| 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 14932813
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:beee480072aced9c1c34dde60cdd9d9ef62436bd662355d8f53c5a6f97b93580
|
| 3 |
size 14932813
|
runs/Feb12_06-10-27_robovision.csres.utexas.edu/events.out.tfevents.1707739842.robovision.csres.utexas.edu.2691642.0
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:c212165677e2f61e9ee98bdb292064cf01c00adfd8342440c8d26c4800662fc3
|
| 3 |
+
size 42035
|