Training in progress, step 720
Browse files- {checkpoint-320 β checkpoint-720}/config.json +0 -0
- {checkpoint-320 β checkpoint-720}/optimizer.pt +1 -1
- {checkpoint-320 β checkpoint-720}/pytorch_model.bin +1 -1
- {checkpoint-320 β checkpoint-720}/rng_state.pth +1 -1
- {checkpoint-320 β checkpoint-720}/scheduler.pt +1 -1
- {checkpoint-320 β checkpoint-720}/trainer_state.json +2745 -5
- {checkpoint-320 β checkpoint-720}/training_args.bin +0 -0
- pytorch_model.bin +1 -1
- runs/Feb08_09-49-29_robovision.csres.utexas.edu/events.out.tfevents.1707407376.robovision.csres.utexas.edu.889113.0 +2 -2
{checkpoint-320 β checkpoint-720}/config.json
RENAMED
File without changes
|
{checkpoint-320 β checkpoint-720}/optimizer.pt
RENAMED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 677456319
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0ccb4e6a56276bec712062f753d9fca7c87c26ef4f65c1cbb29fb40d2b87033d
|
3 |
size 677456319
|
{checkpoint-320 β checkpoint-720}/pytorch_model.bin
RENAMED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 338796489
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:935226a50b81cbca3c7e35eabfb4c5b6319732154906e7ab0a6958d9485775d6
|
3 |
size 338796489
|
{checkpoint-320 β checkpoint-720}/rng_state.pth
RENAMED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 14575
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1d7c00f8866b8aacadf7f24483329bc48f1e9e8feb5c206cc15307842ccc9734
|
3 |
size 14575
|
{checkpoint-320 β checkpoint-720}/scheduler.pt
RENAMED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 627
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4db2363e1a72499f93f729d51e53b81184471a0ae2ce26dfd245a0c2fd839101
|
3 |
size 627
|
{checkpoint-320 β checkpoint-720}/trainer_state.json
RENAMED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/INTERNAL_BEST-safety-utcustom-train-SF-RGB-b5/checkpoint-
|
4 |
-
"epoch":
|
5 |
-
"global_step":
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
@@ -2198,11 +2198,2751 @@
|
|
2198 |
"eval_samples_per_second": 6.29,
|
2199 |
"eval_steps_per_second": 0.469,
|
2200 |
"step": 320
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2201 |
}
|
2202 |
],
|
2203 |
"max_steps": 20000,
|
2204 |
"num_train_epochs": 2000,
|
2205 |
-
"total_flos":
|
2206 |
"trial_name": null,
|
2207 |
"trial_params": null
|
2208 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.03560740128159523,
|
3 |
+
"best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/INTERNAL_BEST-safety-utcustom-train-SF-RGB-b5/checkpoint-640",
|
4 |
+
"epoch": 72.0,
|
5 |
+
"global_step": 720,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
|
|
2198 |
"eval_samples_per_second": 6.29,
|
2199 |
"eval_steps_per_second": 0.469,
|
2200 |
"step": 320
|
2201 |
+
},
|
2202 |
+
{
|
2203 |
+
"epoch": 32.1,
|
2204 |
+
"learning_rate": 3.21e-05,
|
2205 |
+
"loss": 0.0455,
|
2206 |
+
"step": 321
|
2207 |
+
},
|
2208 |
+
{
|
2209 |
+
"epoch": 32.2,
|
2210 |
+
"learning_rate": 3.2200000000000003e-05,
|
2211 |
+
"loss": 0.0469,
|
2212 |
+
"step": 322
|
2213 |
+
},
|
2214 |
+
{
|
2215 |
+
"epoch": 32.3,
|
2216 |
+
"learning_rate": 3.2300000000000006e-05,
|
2217 |
+
"loss": 0.0494,
|
2218 |
+
"step": 323
|
2219 |
+
},
|
2220 |
+
{
|
2221 |
+
"epoch": 32.4,
|
2222 |
+
"learning_rate": 3.24e-05,
|
2223 |
+
"loss": 0.0464,
|
2224 |
+
"step": 324
|
2225 |
+
},
|
2226 |
+
{
|
2227 |
+
"epoch": 32.5,
|
2228 |
+
"learning_rate": 3.2500000000000004e-05,
|
2229 |
+
"loss": 0.0447,
|
2230 |
+
"step": 325
|
2231 |
+
},
|
2232 |
+
{
|
2233 |
+
"epoch": 32.6,
|
2234 |
+
"learning_rate": 3.26e-05,
|
2235 |
+
"loss": 0.0431,
|
2236 |
+
"step": 326
|
2237 |
+
},
|
2238 |
+
{
|
2239 |
+
"epoch": 32.7,
|
2240 |
+
"learning_rate": 3.27e-05,
|
2241 |
+
"loss": 0.043,
|
2242 |
+
"step": 327
|
2243 |
+
},
|
2244 |
+
{
|
2245 |
+
"epoch": 32.8,
|
2246 |
+
"learning_rate": 3.2800000000000004e-05,
|
2247 |
+
"loss": 0.0419,
|
2248 |
+
"step": 328
|
2249 |
+
},
|
2250 |
+
{
|
2251 |
+
"epoch": 32.9,
|
2252 |
+
"learning_rate": 3.29e-05,
|
2253 |
+
"loss": 0.0424,
|
2254 |
+
"step": 329
|
2255 |
+
},
|
2256 |
+
{
|
2257 |
+
"epoch": 33.0,
|
2258 |
+
"learning_rate": 3.3e-05,
|
2259 |
+
"loss": 0.072,
|
2260 |
+
"step": 330
|
2261 |
+
},
|
2262 |
+
{
|
2263 |
+
"epoch": 33.1,
|
2264 |
+
"learning_rate": 3.3100000000000005e-05,
|
2265 |
+
"loss": 0.0518,
|
2266 |
+
"step": 331
|
2267 |
+
},
|
2268 |
+
{
|
2269 |
+
"epoch": 33.2,
|
2270 |
+
"learning_rate": 3.32e-05,
|
2271 |
+
"loss": 0.0341,
|
2272 |
+
"step": 332
|
2273 |
+
},
|
2274 |
+
{
|
2275 |
+
"epoch": 33.3,
|
2276 |
+
"learning_rate": 3.33e-05,
|
2277 |
+
"loss": 0.0483,
|
2278 |
+
"step": 333
|
2279 |
+
},
|
2280 |
+
{
|
2281 |
+
"epoch": 33.4,
|
2282 |
+
"learning_rate": 3.3400000000000005e-05,
|
2283 |
+
"loss": 0.0409,
|
2284 |
+
"step": 334
|
2285 |
+
},
|
2286 |
+
{
|
2287 |
+
"epoch": 33.5,
|
2288 |
+
"learning_rate": 3.35e-05,
|
2289 |
+
"loss": 0.0433,
|
2290 |
+
"step": 335
|
2291 |
+
},
|
2292 |
+
{
|
2293 |
+
"epoch": 33.6,
|
2294 |
+
"learning_rate": 3.3600000000000004e-05,
|
2295 |
+
"loss": 0.0433,
|
2296 |
+
"step": 336
|
2297 |
+
},
|
2298 |
+
{
|
2299 |
+
"epoch": 33.7,
|
2300 |
+
"learning_rate": 3.3700000000000006e-05,
|
2301 |
+
"loss": 0.0403,
|
2302 |
+
"step": 337
|
2303 |
+
},
|
2304 |
+
{
|
2305 |
+
"epoch": 33.8,
|
2306 |
+
"learning_rate": 3.38e-05,
|
2307 |
+
"loss": 0.0426,
|
2308 |
+
"step": 338
|
2309 |
+
},
|
2310 |
+
{
|
2311 |
+
"epoch": 33.9,
|
2312 |
+
"learning_rate": 3.3900000000000004e-05,
|
2313 |
+
"loss": 0.0365,
|
2314 |
+
"step": 339
|
2315 |
+
},
|
2316 |
+
{
|
2317 |
+
"epoch": 34.0,
|
2318 |
+
"learning_rate": 3.4000000000000007e-05,
|
2319 |
+
"loss": 0.0435,
|
2320 |
+
"step": 340
|
2321 |
+
},
|
2322 |
+
{
|
2323 |
+
"epoch": 34.0,
|
2324 |
+
"eval_accuracy_safe": 0.627977532854538,
|
2325 |
+
"eval_accuracy_unlabeled": NaN,
|
2326 |
+
"eval_accuracy_unsafe": 0.9987678973456258,
|
2327 |
+
"eval_iou_safe": 0.603546108487726,
|
2328 |
+
"eval_iou_unlabeled": NaN,
|
2329 |
+
"eval_iou_unsafe": 0.9875850541007082,
|
2330 |
+
"eval_loss": 0.05069776251912117,
|
2331 |
+
"eval_mean_accuracy": 0.8133727151000818,
|
2332 |
+
"eval_mean_iou": 0.7955655812942171,
|
2333 |
+
"eval_overall_accuracy": 0.987815344511573,
|
2334 |
+
"eval_runtime": 9.8092,
|
2335 |
+
"eval_samples_per_second": 6.83,
|
2336 |
+
"eval_steps_per_second": 0.51,
|
2337 |
+
"step": 340
|
2338 |
+
},
|
2339 |
+
{
|
2340 |
+
"epoch": 34.1,
|
2341 |
+
"learning_rate": 3.41e-05,
|
2342 |
+
"loss": 0.0399,
|
2343 |
+
"step": 341
|
2344 |
+
},
|
2345 |
+
{
|
2346 |
+
"epoch": 34.2,
|
2347 |
+
"learning_rate": 3.4200000000000005e-05,
|
2348 |
+
"loss": 0.0351,
|
2349 |
+
"step": 342
|
2350 |
+
},
|
2351 |
+
{
|
2352 |
+
"epoch": 34.3,
|
2353 |
+
"learning_rate": 3.430000000000001e-05,
|
2354 |
+
"loss": 0.044,
|
2355 |
+
"step": 343
|
2356 |
+
},
|
2357 |
+
{
|
2358 |
+
"epoch": 34.4,
|
2359 |
+
"learning_rate": 3.4399999999999996e-05,
|
2360 |
+
"loss": 0.0536,
|
2361 |
+
"step": 344
|
2362 |
+
},
|
2363 |
+
{
|
2364 |
+
"epoch": 34.5,
|
2365 |
+
"learning_rate": 3.45e-05,
|
2366 |
+
"loss": 0.0387,
|
2367 |
+
"step": 345
|
2368 |
+
},
|
2369 |
+
{
|
2370 |
+
"epoch": 34.6,
|
2371 |
+
"learning_rate": 3.46e-05,
|
2372 |
+
"loss": 0.0326,
|
2373 |
+
"step": 346
|
2374 |
+
},
|
2375 |
+
{
|
2376 |
+
"epoch": 34.7,
|
2377 |
+
"learning_rate": 3.4699999999999996e-05,
|
2378 |
+
"loss": 0.0362,
|
2379 |
+
"step": 347
|
2380 |
+
},
|
2381 |
+
{
|
2382 |
+
"epoch": 34.8,
|
2383 |
+
"learning_rate": 3.48e-05,
|
2384 |
+
"loss": 0.1107,
|
2385 |
+
"step": 348
|
2386 |
+
},
|
2387 |
+
{
|
2388 |
+
"epoch": 34.9,
|
2389 |
+
"learning_rate": 3.49e-05,
|
2390 |
+
"loss": 0.056,
|
2391 |
+
"step": 349
|
2392 |
+
},
|
2393 |
+
{
|
2394 |
+
"epoch": 35.0,
|
2395 |
+
"learning_rate": 3.5e-05,
|
2396 |
+
"loss": 0.0371,
|
2397 |
+
"step": 350
|
2398 |
+
},
|
2399 |
+
{
|
2400 |
+
"epoch": 35.1,
|
2401 |
+
"learning_rate": 3.51e-05,
|
2402 |
+
"loss": 0.0336,
|
2403 |
+
"step": 351
|
2404 |
+
},
|
2405 |
+
{
|
2406 |
+
"epoch": 35.2,
|
2407 |
+
"learning_rate": 3.52e-05,
|
2408 |
+
"loss": 0.032,
|
2409 |
+
"step": 352
|
2410 |
+
},
|
2411 |
+
{
|
2412 |
+
"epoch": 35.3,
|
2413 |
+
"learning_rate": 3.53e-05,
|
2414 |
+
"loss": 0.0406,
|
2415 |
+
"step": 353
|
2416 |
+
},
|
2417 |
+
{
|
2418 |
+
"epoch": 35.4,
|
2419 |
+
"learning_rate": 3.54e-05,
|
2420 |
+
"loss": 0.0371,
|
2421 |
+
"step": 354
|
2422 |
+
},
|
2423 |
+
{
|
2424 |
+
"epoch": 35.5,
|
2425 |
+
"learning_rate": 3.55e-05,
|
2426 |
+
"loss": 0.0414,
|
2427 |
+
"step": 355
|
2428 |
+
},
|
2429 |
+
{
|
2430 |
+
"epoch": 35.6,
|
2431 |
+
"learning_rate": 3.56e-05,
|
2432 |
+
"loss": 0.0388,
|
2433 |
+
"step": 356
|
2434 |
+
},
|
2435 |
+
{
|
2436 |
+
"epoch": 35.7,
|
2437 |
+
"learning_rate": 3.57e-05,
|
2438 |
+
"loss": 0.0533,
|
2439 |
+
"step": 357
|
2440 |
+
},
|
2441 |
+
{
|
2442 |
+
"epoch": 35.8,
|
2443 |
+
"learning_rate": 3.58e-05,
|
2444 |
+
"loss": 0.04,
|
2445 |
+
"step": 358
|
2446 |
+
},
|
2447 |
+
{
|
2448 |
+
"epoch": 35.9,
|
2449 |
+
"learning_rate": 3.59e-05,
|
2450 |
+
"loss": 0.0487,
|
2451 |
+
"step": 359
|
2452 |
+
},
|
2453 |
+
{
|
2454 |
+
"epoch": 36.0,
|
2455 |
+
"learning_rate": 3.6e-05,
|
2456 |
+
"loss": 0.0326,
|
2457 |
+
"step": 360
|
2458 |
+
},
|
2459 |
+
{
|
2460 |
+
"epoch": 36.0,
|
2461 |
+
"eval_accuracy_safe": 0.7829615151830563,
|
2462 |
+
"eval_accuracy_unlabeled": NaN,
|
2463 |
+
"eval_accuracy_unsafe": 0.9961353126921768,
|
2464 |
+
"eval_iou_safe": 0.694748364475991,
|
2465 |
+
"eval_iou_unlabeled": NaN,
|
2466 |
+
"eval_iou_unsafe": 0.9895979273372039,
|
2467 |
+
"eval_loss": 0.0417884923517704,
|
2468 |
+
"eval_mean_accuracy": 0.8895484139376166,
|
2469 |
+
"eval_mean_iou": 0.8421731459065974,
|
2470 |
+
"eval_overall_accuracy": 0.9898385005210762,
|
2471 |
+
"eval_runtime": 9.8003,
|
2472 |
+
"eval_samples_per_second": 6.837,
|
2473 |
+
"eval_steps_per_second": 0.51,
|
2474 |
+
"step": 360
|
2475 |
+
},
|
2476 |
+
{
|
2477 |
+
"epoch": 36.1,
|
2478 |
+
"learning_rate": 3.61e-05,
|
2479 |
+
"loss": 0.0318,
|
2480 |
+
"step": 361
|
2481 |
+
},
|
2482 |
+
{
|
2483 |
+
"epoch": 36.2,
|
2484 |
+
"learning_rate": 3.62e-05,
|
2485 |
+
"loss": 0.0395,
|
2486 |
+
"step": 362
|
2487 |
+
},
|
2488 |
+
{
|
2489 |
+
"epoch": 36.3,
|
2490 |
+
"learning_rate": 3.63e-05,
|
2491 |
+
"loss": 0.033,
|
2492 |
+
"step": 363
|
2493 |
+
},
|
2494 |
+
{
|
2495 |
+
"epoch": 36.4,
|
2496 |
+
"learning_rate": 3.6400000000000004e-05,
|
2497 |
+
"loss": 0.0336,
|
2498 |
+
"step": 364
|
2499 |
+
},
|
2500 |
+
{
|
2501 |
+
"epoch": 36.5,
|
2502 |
+
"learning_rate": 3.65e-05,
|
2503 |
+
"loss": 0.056,
|
2504 |
+
"step": 365
|
2505 |
+
},
|
2506 |
+
{
|
2507 |
+
"epoch": 36.6,
|
2508 |
+
"learning_rate": 3.66e-05,
|
2509 |
+
"loss": 0.0303,
|
2510 |
+
"step": 366
|
2511 |
+
},
|
2512 |
+
{
|
2513 |
+
"epoch": 36.7,
|
2514 |
+
"learning_rate": 3.6700000000000004e-05,
|
2515 |
+
"loss": 0.0441,
|
2516 |
+
"step": 367
|
2517 |
+
},
|
2518 |
+
{
|
2519 |
+
"epoch": 36.8,
|
2520 |
+
"learning_rate": 3.68e-05,
|
2521 |
+
"loss": 0.0373,
|
2522 |
+
"step": 368
|
2523 |
+
},
|
2524 |
+
{
|
2525 |
+
"epoch": 36.9,
|
2526 |
+
"learning_rate": 3.69e-05,
|
2527 |
+
"loss": 0.0358,
|
2528 |
+
"step": 369
|
2529 |
+
},
|
2530 |
+
{
|
2531 |
+
"epoch": 37.0,
|
2532 |
+
"learning_rate": 3.7e-05,
|
2533 |
+
"loss": 0.044,
|
2534 |
+
"step": 370
|
2535 |
+
},
|
2536 |
+
{
|
2537 |
+
"epoch": 37.1,
|
2538 |
+
"learning_rate": 3.71e-05,
|
2539 |
+
"loss": 0.0412,
|
2540 |
+
"step": 371
|
2541 |
+
},
|
2542 |
+
{
|
2543 |
+
"epoch": 37.2,
|
2544 |
+
"learning_rate": 3.72e-05,
|
2545 |
+
"loss": 0.0377,
|
2546 |
+
"step": 372
|
2547 |
+
},
|
2548 |
+
{
|
2549 |
+
"epoch": 37.3,
|
2550 |
+
"learning_rate": 3.73e-05,
|
2551 |
+
"loss": 0.0349,
|
2552 |
+
"step": 373
|
2553 |
+
},
|
2554 |
+
{
|
2555 |
+
"epoch": 37.4,
|
2556 |
+
"learning_rate": 3.74e-05,
|
2557 |
+
"loss": 0.0532,
|
2558 |
+
"step": 374
|
2559 |
+
},
|
2560 |
+
{
|
2561 |
+
"epoch": 37.5,
|
2562 |
+
"learning_rate": 3.7500000000000003e-05,
|
2563 |
+
"loss": 0.0313,
|
2564 |
+
"step": 375
|
2565 |
+
},
|
2566 |
+
{
|
2567 |
+
"epoch": 37.6,
|
2568 |
+
"learning_rate": 3.76e-05,
|
2569 |
+
"loss": 0.0334,
|
2570 |
+
"step": 376
|
2571 |
+
},
|
2572 |
+
{
|
2573 |
+
"epoch": 37.7,
|
2574 |
+
"learning_rate": 3.77e-05,
|
2575 |
+
"loss": 0.0348,
|
2576 |
+
"step": 377
|
2577 |
+
},
|
2578 |
+
{
|
2579 |
+
"epoch": 37.8,
|
2580 |
+
"learning_rate": 3.7800000000000004e-05,
|
2581 |
+
"loss": 0.0539,
|
2582 |
+
"step": 378
|
2583 |
+
},
|
2584 |
+
{
|
2585 |
+
"epoch": 37.9,
|
2586 |
+
"learning_rate": 3.79e-05,
|
2587 |
+
"loss": 0.0323,
|
2588 |
+
"step": 379
|
2589 |
+
},
|
2590 |
+
{
|
2591 |
+
"epoch": 38.0,
|
2592 |
+
"learning_rate": 3.8e-05,
|
2593 |
+
"loss": 0.0262,
|
2594 |
+
"step": 380
|
2595 |
+
},
|
2596 |
+
{
|
2597 |
+
"epoch": 38.0,
|
2598 |
+
"eval_accuracy_safe": 0.7119826060809326,
|
2599 |
+
"eval_accuracy_unlabeled": NaN,
|
2600 |
+
"eval_accuracy_unsafe": 0.9979335102235597,
|
2601 |
+
"eval_iou_safe": 0.6667172059022607,
|
2602 |
+
"eval_iou_unlabeled": NaN,
|
2603 |
+
"eval_iou_unsafe": 0.9892611317607551,
|
2604 |
+
"eval_loss": 0.04198002442717552,
|
2605 |
+
"eval_mean_accuracy": 0.8549580581522461,
|
2606 |
+
"eval_mean_iou": 0.827989168831508,
|
2607 |
+
"eval_overall_accuracy": 0.989486979014838,
|
2608 |
+
"eval_runtime": 9.7227,
|
2609 |
+
"eval_samples_per_second": 6.891,
|
2610 |
+
"eval_steps_per_second": 0.514,
|
2611 |
+
"step": 380
|
2612 |
+
},
|
2613 |
+
{
|
2614 |
+
"epoch": 38.1,
|
2615 |
+
"learning_rate": 3.8100000000000005e-05,
|
2616 |
+
"loss": 0.0391,
|
2617 |
+
"step": 381
|
2618 |
+
},
|
2619 |
+
{
|
2620 |
+
"epoch": 38.2,
|
2621 |
+
"learning_rate": 3.82e-05,
|
2622 |
+
"loss": 0.0383,
|
2623 |
+
"step": 382
|
2624 |
+
},
|
2625 |
+
{
|
2626 |
+
"epoch": 38.3,
|
2627 |
+
"learning_rate": 3.83e-05,
|
2628 |
+
"loss": 0.0337,
|
2629 |
+
"step": 383
|
2630 |
+
},
|
2631 |
+
{
|
2632 |
+
"epoch": 38.4,
|
2633 |
+
"learning_rate": 3.8400000000000005e-05,
|
2634 |
+
"loss": 0.0331,
|
2635 |
+
"step": 384
|
2636 |
+
},
|
2637 |
+
{
|
2638 |
+
"epoch": 38.5,
|
2639 |
+
"learning_rate": 3.85e-05,
|
2640 |
+
"loss": 0.0421,
|
2641 |
+
"step": 385
|
2642 |
+
},
|
2643 |
+
{
|
2644 |
+
"epoch": 38.6,
|
2645 |
+
"learning_rate": 3.86e-05,
|
2646 |
+
"loss": 0.027,
|
2647 |
+
"step": 386
|
2648 |
+
},
|
2649 |
+
{
|
2650 |
+
"epoch": 38.7,
|
2651 |
+
"learning_rate": 3.8700000000000006e-05,
|
2652 |
+
"loss": 0.0294,
|
2653 |
+
"step": 387
|
2654 |
+
},
|
2655 |
+
{
|
2656 |
+
"epoch": 38.8,
|
2657 |
+
"learning_rate": 3.88e-05,
|
2658 |
+
"loss": 0.0278,
|
2659 |
+
"step": 388
|
2660 |
+
},
|
2661 |
+
{
|
2662 |
+
"epoch": 38.9,
|
2663 |
+
"learning_rate": 3.8900000000000004e-05,
|
2664 |
+
"loss": 0.0347,
|
2665 |
+
"step": 389
|
2666 |
+
},
|
2667 |
+
{
|
2668 |
+
"epoch": 39.0,
|
2669 |
+
"learning_rate": 3.9000000000000006e-05,
|
2670 |
+
"loss": 0.0355,
|
2671 |
+
"step": 390
|
2672 |
+
},
|
2673 |
+
{
|
2674 |
+
"epoch": 39.1,
|
2675 |
+
"learning_rate": 3.91e-05,
|
2676 |
+
"loss": 0.0337,
|
2677 |
+
"step": 391
|
2678 |
+
},
|
2679 |
+
{
|
2680 |
+
"epoch": 39.2,
|
2681 |
+
"learning_rate": 3.9200000000000004e-05,
|
2682 |
+
"loss": 0.0359,
|
2683 |
+
"step": 392
|
2684 |
+
},
|
2685 |
+
{
|
2686 |
+
"epoch": 39.3,
|
2687 |
+
"learning_rate": 3.9300000000000007e-05,
|
2688 |
+
"loss": 0.0326,
|
2689 |
+
"step": 393
|
2690 |
+
},
|
2691 |
+
{
|
2692 |
+
"epoch": 39.4,
|
2693 |
+
"learning_rate": 3.94e-05,
|
2694 |
+
"loss": 0.0288,
|
2695 |
+
"step": 394
|
2696 |
+
},
|
2697 |
+
{
|
2698 |
+
"epoch": 39.5,
|
2699 |
+
"learning_rate": 3.9500000000000005e-05,
|
2700 |
+
"loss": 0.0303,
|
2701 |
+
"step": 395
|
2702 |
+
},
|
2703 |
+
{
|
2704 |
+
"epoch": 39.6,
|
2705 |
+
"learning_rate": 3.960000000000001e-05,
|
2706 |
+
"loss": 0.034,
|
2707 |
+
"step": 396
|
2708 |
+
},
|
2709 |
+
{
|
2710 |
+
"epoch": 39.7,
|
2711 |
+
"learning_rate": 3.97e-05,
|
2712 |
+
"loss": 0.0324,
|
2713 |
+
"step": 397
|
2714 |
+
},
|
2715 |
+
{
|
2716 |
+
"epoch": 39.8,
|
2717 |
+
"learning_rate": 3.9800000000000005e-05,
|
2718 |
+
"loss": 0.0373,
|
2719 |
+
"step": 398
|
2720 |
+
},
|
2721 |
+
{
|
2722 |
+
"epoch": 39.9,
|
2723 |
+
"learning_rate": 3.99e-05,
|
2724 |
+
"loss": 0.0372,
|
2725 |
+
"step": 399
|
2726 |
+
},
|
2727 |
+
{
|
2728 |
+
"epoch": 40.0,
|
2729 |
+
"learning_rate": 4e-05,
|
2730 |
+
"loss": 0.0268,
|
2731 |
+
"step": 400
|
2732 |
+
},
|
2733 |
+
{
|
2734 |
+
"epoch": 40.0,
|
2735 |
+
"eval_accuracy_safe": 0.7676396775648513,
|
2736 |
+
"eval_accuracy_unlabeled": NaN,
|
2737 |
+
"eval_accuracy_unsafe": 0.9966623928429743,
|
2738 |
+
"eval_iou_safe": 0.6917825708583251,
|
2739 |
+
"eval_iou_unlabeled": NaN,
|
2740 |
+
"eval_iou_unsafe": 0.9896630400873385,
|
2741 |
+
"eval_loss": 0.03918380290269852,
|
2742 |
+
"eval_mean_accuracy": 0.8821510352039128,
|
2743 |
+
"eval_mean_iou": 0.8407228054728317,
|
2744 |
+
"eval_overall_accuracy": 0.9898974290534631,
|
2745 |
+
"eval_runtime": 9.7657,
|
2746 |
+
"eval_samples_per_second": 6.861,
|
2747 |
+
"eval_steps_per_second": 0.512,
|
2748 |
+
"step": 400
|
2749 |
+
},
|
2750 |
+
{
|
2751 |
+
"epoch": 40.1,
|
2752 |
+
"learning_rate": 4.0100000000000006e-05,
|
2753 |
+
"loss": 0.0305,
|
2754 |
+
"step": 401
|
2755 |
+
},
|
2756 |
+
{
|
2757 |
+
"epoch": 40.2,
|
2758 |
+
"learning_rate": 4.02e-05,
|
2759 |
+
"loss": 0.0386,
|
2760 |
+
"step": 402
|
2761 |
+
},
|
2762 |
+
{
|
2763 |
+
"epoch": 40.3,
|
2764 |
+
"learning_rate": 4.0300000000000004e-05,
|
2765 |
+
"loss": 0.0286,
|
2766 |
+
"step": 403
|
2767 |
+
},
|
2768 |
+
{
|
2769 |
+
"epoch": 40.4,
|
2770 |
+
"learning_rate": 4.0400000000000006e-05,
|
2771 |
+
"loss": 0.0491,
|
2772 |
+
"step": 404
|
2773 |
+
},
|
2774 |
+
{
|
2775 |
+
"epoch": 40.5,
|
2776 |
+
"learning_rate": 4.05e-05,
|
2777 |
+
"loss": 0.0355,
|
2778 |
+
"step": 405
|
2779 |
+
},
|
2780 |
+
{
|
2781 |
+
"epoch": 40.6,
|
2782 |
+
"learning_rate": 4.0600000000000004e-05,
|
2783 |
+
"loss": 0.0259,
|
2784 |
+
"step": 406
|
2785 |
+
},
|
2786 |
+
{
|
2787 |
+
"epoch": 40.7,
|
2788 |
+
"learning_rate": 4.07e-05,
|
2789 |
+
"loss": 0.0306,
|
2790 |
+
"step": 407
|
2791 |
+
},
|
2792 |
+
{
|
2793 |
+
"epoch": 40.8,
|
2794 |
+
"learning_rate": 4.08e-05,
|
2795 |
+
"loss": 0.0412,
|
2796 |
+
"step": 408
|
2797 |
+
},
|
2798 |
+
{
|
2799 |
+
"epoch": 40.9,
|
2800 |
+
"learning_rate": 4.09e-05,
|
2801 |
+
"loss": 0.0365,
|
2802 |
+
"step": 409
|
2803 |
+
},
|
2804 |
+
{
|
2805 |
+
"epoch": 41.0,
|
2806 |
+
"learning_rate": 4.1e-05,
|
2807 |
+
"loss": 0.0339,
|
2808 |
+
"step": 410
|
2809 |
+
},
|
2810 |
+
{
|
2811 |
+
"epoch": 41.1,
|
2812 |
+
"learning_rate": 4.11e-05,
|
2813 |
+
"loss": 0.0267,
|
2814 |
+
"step": 411
|
2815 |
+
},
|
2816 |
+
{
|
2817 |
+
"epoch": 41.2,
|
2818 |
+
"learning_rate": 4.12e-05,
|
2819 |
+
"loss": 0.0273,
|
2820 |
+
"step": 412
|
2821 |
+
},
|
2822 |
+
{
|
2823 |
+
"epoch": 41.3,
|
2824 |
+
"learning_rate": 4.13e-05,
|
2825 |
+
"loss": 0.0556,
|
2826 |
+
"step": 413
|
2827 |
+
},
|
2828 |
+
{
|
2829 |
+
"epoch": 41.4,
|
2830 |
+
"learning_rate": 4.14e-05,
|
2831 |
+
"loss": 0.0347,
|
2832 |
+
"step": 414
|
2833 |
+
},
|
2834 |
+
{
|
2835 |
+
"epoch": 41.5,
|
2836 |
+
"learning_rate": 4.15e-05,
|
2837 |
+
"loss": 0.0299,
|
2838 |
+
"step": 415
|
2839 |
+
},
|
2840 |
+
{
|
2841 |
+
"epoch": 41.6,
|
2842 |
+
"learning_rate": 4.16e-05,
|
2843 |
+
"loss": 0.0896,
|
2844 |
+
"step": 416
|
2845 |
+
},
|
2846 |
+
{
|
2847 |
+
"epoch": 41.7,
|
2848 |
+
"learning_rate": 4.17e-05,
|
2849 |
+
"loss": 0.0357,
|
2850 |
+
"step": 417
|
2851 |
+
},
|
2852 |
+
{
|
2853 |
+
"epoch": 41.8,
|
2854 |
+
"learning_rate": 4.18e-05,
|
2855 |
+
"loss": 0.0523,
|
2856 |
+
"step": 418
|
2857 |
+
},
|
2858 |
+
{
|
2859 |
+
"epoch": 41.9,
|
2860 |
+
"learning_rate": 4.19e-05,
|
2861 |
+
"loss": 0.0323,
|
2862 |
+
"step": 419
|
2863 |
+
},
|
2864 |
+
{
|
2865 |
+
"epoch": 42.0,
|
2866 |
+
"learning_rate": 4.2e-05,
|
2867 |
+
"loss": 0.0395,
|
2868 |
+
"step": 420
|
2869 |
+
},
|
2870 |
+
{
|
2871 |
+
"epoch": 42.0,
|
2872 |
+
"eval_accuracy_safe": 0.6754889148461263,
|
2873 |
+
"eval_accuracy_unlabeled": NaN,
|
2874 |
+
"eval_accuracy_unsafe": 0.9984243330799234,
|
2875 |
+
"eval_iou_safe": 0.6422488284679091,
|
2876 |
+
"eval_iou_unlabeled": 0.0,
|
2877 |
+
"eval_iou_unsafe": 0.9886590543317243,
|
2878 |
+
"eval_loss": 0.04656589403748512,
|
2879 |
+
"eval_mean_accuracy": 0.8369566239630248,
|
2880 |
+
"eval_mean_iou": 0.5436359609332112,
|
2881 |
+
"eval_overall_accuracy": 0.9888853386266908,
|
2882 |
+
"eval_runtime": 9.8482,
|
2883 |
+
"eval_samples_per_second": 6.803,
|
2884 |
+
"eval_steps_per_second": 0.508,
|
2885 |
+
"step": 420
|
2886 |
+
},
|
2887 |
+
{
|
2888 |
+
"epoch": 42.1,
|
2889 |
+
"learning_rate": 4.21e-05,
|
2890 |
+
"loss": 0.0378,
|
2891 |
+
"step": 421
|
2892 |
+
},
|
2893 |
+
{
|
2894 |
+
"epoch": 42.2,
|
2895 |
+
"learning_rate": 4.22e-05,
|
2896 |
+
"loss": 0.0406,
|
2897 |
+
"step": 422
|
2898 |
+
},
|
2899 |
+
{
|
2900 |
+
"epoch": 42.3,
|
2901 |
+
"learning_rate": 4.23e-05,
|
2902 |
+
"loss": 0.0399,
|
2903 |
+
"step": 423
|
2904 |
+
},
|
2905 |
+
{
|
2906 |
+
"epoch": 42.4,
|
2907 |
+
"learning_rate": 4.24e-05,
|
2908 |
+
"loss": 0.0468,
|
2909 |
+
"step": 424
|
2910 |
+
},
|
2911 |
+
{
|
2912 |
+
"epoch": 42.5,
|
2913 |
+
"learning_rate": 4.25e-05,
|
2914 |
+
"loss": 0.0271,
|
2915 |
+
"step": 425
|
2916 |
+
},
|
2917 |
+
{
|
2918 |
+
"epoch": 42.6,
|
2919 |
+
"learning_rate": 4.26e-05,
|
2920 |
+
"loss": 0.0453,
|
2921 |
+
"step": 426
|
2922 |
+
},
|
2923 |
+
{
|
2924 |
+
"epoch": 42.7,
|
2925 |
+
"learning_rate": 4.27e-05,
|
2926 |
+
"loss": 0.078,
|
2927 |
+
"step": 427
|
2928 |
+
},
|
2929 |
+
{
|
2930 |
+
"epoch": 42.8,
|
2931 |
+
"learning_rate": 4.2800000000000004e-05,
|
2932 |
+
"loss": 0.0315,
|
2933 |
+
"step": 428
|
2934 |
+
},
|
2935 |
+
{
|
2936 |
+
"epoch": 42.9,
|
2937 |
+
"learning_rate": 4.29e-05,
|
2938 |
+
"loss": 0.0314,
|
2939 |
+
"step": 429
|
2940 |
+
},
|
2941 |
+
{
|
2942 |
+
"epoch": 43.0,
|
2943 |
+
"learning_rate": 4.3e-05,
|
2944 |
+
"loss": 0.0295,
|
2945 |
+
"step": 430
|
2946 |
+
},
|
2947 |
+
{
|
2948 |
+
"epoch": 43.1,
|
2949 |
+
"learning_rate": 4.3100000000000004e-05,
|
2950 |
+
"loss": 0.0335,
|
2951 |
+
"step": 431
|
2952 |
+
},
|
2953 |
+
{
|
2954 |
+
"epoch": 43.2,
|
2955 |
+
"learning_rate": 4.32e-05,
|
2956 |
+
"loss": 0.0318,
|
2957 |
+
"step": 432
|
2958 |
+
},
|
2959 |
+
{
|
2960 |
+
"epoch": 43.3,
|
2961 |
+
"learning_rate": 4.33e-05,
|
2962 |
+
"loss": 0.0254,
|
2963 |
+
"step": 433
|
2964 |
+
},
|
2965 |
+
{
|
2966 |
+
"epoch": 43.4,
|
2967 |
+
"learning_rate": 4.3400000000000005e-05,
|
2968 |
+
"loss": 0.026,
|
2969 |
+
"step": 434
|
2970 |
+
},
|
2971 |
+
{
|
2972 |
+
"epoch": 43.5,
|
2973 |
+
"learning_rate": 4.35e-05,
|
2974 |
+
"loss": 0.0344,
|
2975 |
+
"step": 435
|
2976 |
+
},
|
2977 |
+
{
|
2978 |
+
"epoch": 43.6,
|
2979 |
+
"learning_rate": 4.36e-05,
|
2980 |
+
"loss": 0.0279,
|
2981 |
+
"step": 436
|
2982 |
+
},
|
2983 |
+
{
|
2984 |
+
"epoch": 43.7,
|
2985 |
+
"learning_rate": 4.3700000000000005e-05,
|
2986 |
+
"loss": 0.0251,
|
2987 |
+
"step": 437
|
2988 |
+
},
|
2989 |
+
{
|
2990 |
+
"epoch": 43.8,
|
2991 |
+
"learning_rate": 4.38e-05,
|
2992 |
+
"loss": 0.0276,
|
2993 |
+
"step": 438
|
2994 |
+
},
|
2995 |
+
{
|
2996 |
+
"epoch": 43.9,
|
2997 |
+
"learning_rate": 4.39e-05,
|
2998 |
+
"loss": 0.0291,
|
2999 |
+
"step": 439
|
3000 |
+
},
|
3001 |
+
{
|
3002 |
+
"epoch": 44.0,
|
3003 |
+
"learning_rate": 4.4000000000000006e-05,
|
3004 |
+
"loss": 0.0279,
|
3005 |
+
"step": 440
|
3006 |
+
},
|
3007 |
+
{
|
3008 |
+
"epoch": 44.0,
|
3009 |
+
"eval_accuracy_safe": 0.7945381860517114,
|
3010 |
+
"eval_accuracy_unlabeled": NaN,
|
3011 |
+
"eval_accuracy_unsafe": 0.9946534571212905,
|
3012 |
+
"eval_iou_safe": 0.6758250496365994,
|
3013 |
+
"eval_iou_unlabeled": NaN,
|
3014 |
+
"eval_iou_unsafe": 0.9884718134454017,
|
3015 |
+
"eval_loss": 0.043944161385297775,
|
3016 |
+
"eval_mean_accuracy": 0.894595821586501,
|
3017 |
+
"eval_mean_iou": 0.8321484315410006,
|
3018 |
+
"eval_overall_accuracy": 0.9887423728828999,
|
3019 |
+
"eval_runtime": 10.0763,
|
3020 |
+
"eval_samples_per_second": 6.649,
|
3021 |
+
"eval_steps_per_second": 0.496,
|
3022 |
+
"step": 440
|
3023 |
+
},
|
3024 |
+
{
|
3025 |
+
"epoch": 44.1,
|
3026 |
+
"learning_rate": 4.41e-05,
|
3027 |
+
"loss": 0.0546,
|
3028 |
+
"step": 441
|
3029 |
+
},
|
3030 |
+
{
|
3031 |
+
"epoch": 44.2,
|
3032 |
+
"learning_rate": 4.4200000000000004e-05,
|
3033 |
+
"loss": 0.0283,
|
3034 |
+
"step": 442
|
3035 |
+
},
|
3036 |
+
{
|
3037 |
+
"epoch": 44.3,
|
3038 |
+
"learning_rate": 4.43e-05,
|
3039 |
+
"loss": 0.0291,
|
3040 |
+
"step": 443
|
3041 |
+
},
|
3042 |
+
{
|
3043 |
+
"epoch": 44.4,
|
3044 |
+
"learning_rate": 4.44e-05,
|
3045 |
+
"loss": 0.0277,
|
3046 |
+
"step": 444
|
3047 |
+
},
|
3048 |
+
{
|
3049 |
+
"epoch": 44.5,
|
3050 |
+
"learning_rate": 4.4500000000000004e-05,
|
3051 |
+
"loss": 0.0346,
|
3052 |
+
"step": 445
|
3053 |
+
},
|
3054 |
+
{
|
3055 |
+
"epoch": 44.6,
|
3056 |
+
"learning_rate": 4.46e-05,
|
3057 |
+
"loss": 0.0248,
|
3058 |
+
"step": 446
|
3059 |
+
},
|
3060 |
+
{
|
3061 |
+
"epoch": 44.7,
|
3062 |
+
"learning_rate": 4.47e-05,
|
3063 |
+
"loss": 0.0204,
|
3064 |
+
"step": 447
|
3065 |
+
},
|
3066 |
+
{
|
3067 |
+
"epoch": 44.8,
|
3068 |
+
"learning_rate": 4.4800000000000005e-05,
|
3069 |
+
"loss": 0.0267,
|
3070 |
+
"step": 448
|
3071 |
+
},
|
3072 |
+
{
|
3073 |
+
"epoch": 44.9,
|
3074 |
+
"learning_rate": 4.49e-05,
|
3075 |
+
"loss": 0.0305,
|
3076 |
+
"step": 449
|
3077 |
+
},
|
3078 |
+
{
|
3079 |
+
"epoch": 45.0,
|
3080 |
+
"learning_rate": 4.5e-05,
|
3081 |
+
"loss": 0.0277,
|
3082 |
+
"step": 450
|
3083 |
+
},
|
3084 |
+
{
|
3085 |
+
"epoch": 45.1,
|
3086 |
+
"learning_rate": 4.5100000000000005e-05,
|
3087 |
+
"loss": 0.0279,
|
3088 |
+
"step": 451
|
3089 |
+
},
|
3090 |
+
{
|
3091 |
+
"epoch": 45.2,
|
3092 |
+
"learning_rate": 4.52e-05,
|
3093 |
+
"loss": 0.0314,
|
3094 |
+
"step": 452
|
3095 |
+
},
|
3096 |
+
{
|
3097 |
+
"epoch": 45.3,
|
3098 |
+
"learning_rate": 4.53e-05,
|
3099 |
+
"loss": 0.0279,
|
3100 |
+
"step": 453
|
3101 |
+
},
|
3102 |
+
{
|
3103 |
+
"epoch": 45.4,
|
3104 |
+
"learning_rate": 4.5400000000000006e-05,
|
3105 |
+
"loss": 0.0333,
|
3106 |
+
"step": 454
|
3107 |
+
},
|
3108 |
+
{
|
3109 |
+
"epoch": 45.5,
|
3110 |
+
"learning_rate": 4.55e-05,
|
3111 |
+
"loss": 0.0291,
|
3112 |
+
"step": 455
|
3113 |
+
},
|
3114 |
+
{
|
3115 |
+
"epoch": 45.6,
|
3116 |
+
"learning_rate": 4.5600000000000004e-05,
|
3117 |
+
"loss": 0.0228,
|
3118 |
+
"step": 456
|
3119 |
+
},
|
3120 |
+
{
|
3121 |
+
"epoch": 45.7,
|
3122 |
+
"learning_rate": 4.5700000000000006e-05,
|
3123 |
+
"loss": 0.0255,
|
3124 |
+
"step": 457
|
3125 |
+
},
|
3126 |
+
{
|
3127 |
+
"epoch": 45.8,
|
3128 |
+
"learning_rate": 4.58e-05,
|
3129 |
+
"loss": 0.0385,
|
3130 |
+
"step": 458
|
3131 |
+
},
|
3132 |
+
{
|
3133 |
+
"epoch": 45.9,
|
3134 |
+
"learning_rate": 4.5900000000000004e-05,
|
3135 |
+
"loss": 0.0257,
|
3136 |
+
"step": 459
|
3137 |
+
},
|
3138 |
+
{
|
3139 |
+
"epoch": 46.0,
|
3140 |
+
"learning_rate": 4.600000000000001e-05,
|
3141 |
+
"loss": 0.0468,
|
3142 |
+
"step": 460
|
3143 |
+
},
|
3144 |
+
{
|
3145 |
+
"epoch": 46.0,
|
3146 |
+
"eval_accuracy_safe": 0.7821905081321968,
|
3147 |
+
"eval_accuracy_unlabeled": NaN,
|
3148 |
+
"eval_accuracy_unsafe": 0.9967090931769053,
|
3149 |
+
"eval_iou_safe": 0.7058715069708381,
|
3150 |
+
"eval_iou_unlabeled": NaN,
|
3151 |
+
"eval_iou_unsafe": 0.9901448585096287,
|
3152 |
+
"eval_loss": 0.03598049655556679,
|
3153 |
+
"eval_mean_accuracy": 0.889449800654551,
|
3154 |
+
"eval_mean_iou": 0.8480081827402335,
|
3155 |
+
"eval_overall_accuracy": 0.9903725581382637,
|
3156 |
+
"eval_runtime": 9.7124,
|
3157 |
+
"eval_samples_per_second": 6.898,
|
3158 |
+
"eval_steps_per_second": 0.515,
|
3159 |
+
"step": 460
|
3160 |
+
},
|
3161 |
+
{
|
3162 |
+
"epoch": 46.1,
|
3163 |
+
"learning_rate": 4.61e-05,
|
3164 |
+
"loss": 0.0246,
|
3165 |
+
"step": 461
|
3166 |
+
},
|
3167 |
+
{
|
3168 |
+
"epoch": 46.2,
|
3169 |
+
"learning_rate": 4.6200000000000005e-05,
|
3170 |
+
"loss": 0.0264,
|
3171 |
+
"step": 462
|
3172 |
+
},
|
3173 |
+
{
|
3174 |
+
"epoch": 46.3,
|
3175 |
+
"learning_rate": 4.630000000000001e-05,
|
3176 |
+
"loss": 0.0254,
|
3177 |
+
"step": 463
|
3178 |
+
},
|
3179 |
+
{
|
3180 |
+
"epoch": 46.4,
|
3181 |
+
"learning_rate": 4.64e-05,
|
3182 |
+
"loss": 0.0266,
|
3183 |
+
"step": 464
|
3184 |
+
},
|
3185 |
+
{
|
3186 |
+
"epoch": 46.5,
|
3187 |
+
"learning_rate": 4.6500000000000005e-05,
|
3188 |
+
"loss": 0.031,
|
3189 |
+
"step": 465
|
3190 |
+
},
|
3191 |
+
{
|
3192 |
+
"epoch": 46.6,
|
3193 |
+
"learning_rate": 4.660000000000001e-05,
|
3194 |
+
"loss": 0.0208,
|
3195 |
+
"step": 466
|
3196 |
+
},
|
3197 |
+
{
|
3198 |
+
"epoch": 46.7,
|
3199 |
+
"learning_rate": 4.6700000000000003e-05,
|
3200 |
+
"loss": 0.0287,
|
3201 |
+
"step": 467
|
3202 |
+
},
|
3203 |
+
{
|
3204 |
+
"epoch": 46.8,
|
3205 |
+
"learning_rate": 4.6800000000000006e-05,
|
3206 |
+
"loss": 0.0243,
|
3207 |
+
"step": 468
|
3208 |
+
},
|
3209 |
+
{
|
3210 |
+
"epoch": 46.9,
|
3211 |
+
"learning_rate": 4.69e-05,
|
3212 |
+
"loss": 0.0249,
|
3213 |
+
"step": 469
|
3214 |
+
},
|
3215 |
+
{
|
3216 |
+
"epoch": 47.0,
|
3217 |
+
"learning_rate": 4.7e-05,
|
3218 |
+
"loss": 0.0228,
|
3219 |
+
"step": 470
|
3220 |
+
},
|
3221 |
+
{
|
3222 |
+
"epoch": 47.1,
|
3223 |
+
"learning_rate": 4.71e-05,
|
3224 |
+
"loss": 0.0221,
|
3225 |
+
"step": 471
|
3226 |
+
},
|
3227 |
+
{
|
3228 |
+
"epoch": 47.2,
|
3229 |
+
"learning_rate": 4.72e-05,
|
3230 |
+
"loss": 0.0322,
|
3231 |
+
"step": 472
|
3232 |
+
},
|
3233 |
+
{
|
3234 |
+
"epoch": 47.3,
|
3235 |
+
"learning_rate": 4.73e-05,
|
3236 |
+
"loss": 0.0254,
|
3237 |
+
"step": 473
|
3238 |
+
},
|
3239 |
+
{
|
3240 |
+
"epoch": 47.4,
|
3241 |
+
"learning_rate": 4.74e-05,
|
3242 |
+
"loss": 0.0279,
|
3243 |
+
"step": 474
|
3244 |
+
},
|
3245 |
+
{
|
3246 |
+
"epoch": 47.5,
|
3247 |
+
"learning_rate": 4.75e-05,
|
3248 |
+
"loss": 0.0205,
|
3249 |
+
"step": 475
|
3250 |
+
},
|
3251 |
+
{
|
3252 |
+
"epoch": 47.6,
|
3253 |
+
"learning_rate": 4.76e-05,
|
3254 |
+
"loss": 0.0246,
|
3255 |
+
"step": 476
|
3256 |
+
},
|
3257 |
+
{
|
3258 |
+
"epoch": 47.7,
|
3259 |
+
"learning_rate": 4.77e-05,
|
3260 |
+
"loss": 0.0231,
|
3261 |
+
"step": 477
|
3262 |
+
},
|
3263 |
+
{
|
3264 |
+
"epoch": 47.8,
|
3265 |
+
"learning_rate": 4.78e-05,
|
3266 |
+
"loss": 0.0225,
|
3267 |
+
"step": 478
|
3268 |
+
},
|
3269 |
+
{
|
3270 |
+
"epoch": 47.9,
|
3271 |
+
"learning_rate": 4.79e-05,
|
3272 |
+
"loss": 0.0208,
|
3273 |
+
"step": 479
|
3274 |
+
},
|
3275 |
+
{
|
3276 |
+
"epoch": 48.0,
|
3277 |
+
"learning_rate": 4.8e-05,
|
3278 |
+
"loss": 0.0233,
|
3279 |
+
"step": 480
|
3280 |
+
},
|
3281 |
+
{
|
3282 |
+
"epoch": 48.0,
|
3283 |
+
"eval_accuracy_safe": 0.7960146645541073,
|
3284 |
+
"eval_accuracy_unlabeled": NaN,
|
3285 |
+
"eval_accuracy_unsafe": 0.9963735665314899,
|
3286 |
+
"eval_iou_safe": 0.7112711715528733,
|
3287 |
+
"eval_iou_unlabeled": NaN,
|
3288 |
+
"eval_iou_unsafe": 0.9902254570286859,
|
3289 |
+
"eval_loss": 0.037598393857479095,
|
3290 |
+
"eval_mean_accuracy": 0.8961941155427986,
|
3291 |
+
"eval_mean_iou": 0.8507483142907797,
|
3292 |
+
"eval_overall_accuracy": 0.9904552858267257,
|
3293 |
+
"eval_runtime": 9.9744,
|
3294 |
+
"eval_samples_per_second": 6.717,
|
3295 |
+
"eval_steps_per_second": 0.501,
|
3296 |
+
"step": 480
|
3297 |
+
},
|
3298 |
+
{
|
3299 |
+
"epoch": 48.1,
|
3300 |
+
"learning_rate": 4.8100000000000004e-05,
|
3301 |
+
"loss": 0.0208,
|
3302 |
+
"step": 481
|
3303 |
+
},
|
3304 |
+
{
|
3305 |
+
"epoch": 48.2,
|
3306 |
+
"learning_rate": 4.82e-05,
|
3307 |
+
"loss": 0.0229,
|
3308 |
+
"step": 482
|
3309 |
+
},
|
3310 |
+
{
|
3311 |
+
"epoch": 48.3,
|
3312 |
+
"learning_rate": 4.83e-05,
|
3313 |
+
"loss": 0.0232,
|
3314 |
+
"step": 483
|
3315 |
+
},
|
3316 |
+
{
|
3317 |
+
"epoch": 48.4,
|
3318 |
+
"learning_rate": 4.8400000000000004e-05,
|
3319 |
+
"loss": 0.0253,
|
3320 |
+
"step": 484
|
3321 |
+
},
|
3322 |
+
{
|
3323 |
+
"epoch": 48.5,
|
3324 |
+
"learning_rate": 4.85e-05,
|
3325 |
+
"loss": 0.0245,
|
3326 |
+
"step": 485
|
3327 |
+
},
|
3328 |
+
{
|
3329 |
+
"epoch": 48.6,
|
3330 |
+
"learning_rate": 4.86e-05,
|
3331 |
+
"loss": 0.0199,
|
3332 |
+
"step": 486
|
3333 |
+
},
|
3334 |
+
{
|
3335 |
+
"epoch": 48.7,
|
3336 |
+
"learning_rate": 4.87e-05,
|
3337 |
+
"loss": 0.0224,
|
3338 |
+
"step": 487
|
3339 |
+
},
|
3340 |
+
{
|
3341 |
+
"epoch": 48.8,
|
3342 |
+
"learning_rate": 4.88e-05,
|
3343 |
+
"loss": 0.02,
|
3344 |
+
"step": 488
|
3345 |
+
},
|
3346 |
+
{
|
3347 |
+
"epoch": 48.9,
|
3348 |
+
"learning_rate": 4.89e-05,
|
3349 |
+
"loss": 0.0299,
|
3350 |
+
"step": 489
|
3351 |
+
},
|
3352 |
+
{
|
3353 |
+
"epoch": 49.0,
|
3354 |
+
"learning_rate": 4.9e-05,
|
3355 |
+
"loss": 0.0259,
|
3356 |
+
"step": 490
|
3357 |
+
},
|
3358 |
+
{
|
3359 |
+
"epoch": 49.1,
|
3360 |
+
"learning_rate": 4.91e-05,
|
3361 |
+
"loss": 0.0209,
|
3362 |
+
"step": 491
|
3363 |
+
},
|
3364 |
+
{
|
3365 |
+
"epoch": 49.2,
|
3366 |
+
"learning_rate": 4.92e-05,
|
3367 |
+
"loss": 0.0274,
|
3368 |
+
"step": 492
|
3369 |
+
},
|
3370 |
+
{
|
3371 |
+
"epoch": 49.3,
|
3372 |
+
"learning_rate": 4.93e-05,
|
3373 |
+
"loss": 0.0199,
|
3374 |
+
"step": 493
|
3375 |
+
},
|
3376 |
+
{
|
3377 |
+
"epoch": 49.4,
|
3378 |
+
"learning_rate": 4.94e-05,
|
3379 |
+
"loss": 0.0301,
|
3380 |
+
"step": 494
|
3381 |
+
},
|
3382 |
+
{
|
3383 |
+
"epoch": 49.5,
|
3384 |
+
"learning_rate": 4.9500000000000004e-05,
|
3385 |
+
"loss": 0.022,
|
3386 |
+
"step": 495
|
3387 |
+
},
|
3388 |
+
{
|
3389 |
+
"epoch": 49.6,
|
3390 |
+
"learning_rate": 4.96e-05,
|
3391 |
+
"loss": 0.0211,
|
3392 |
+
"step": 496
|
3393 |
+
},
|
3394 |
+
{
|
3395 |
+
"epoch": 49.7,
|
3396 |
+
"learning_rate": 4.97e-05,
|
3397 |
+
"loss": 0.0185,
|
3398 |
+
"step": 497
|
3399 |
+
},
|
3400 |
+
{
|
3401 |
+
"epoch": 49.8,
|
3402 |
+
"learning_rate": 4.9800000000000004e-05,
|
3403 |
+
"loss": 0.024,
|
3404 |
+
"step": 498
|
3405 |
+
},
|
3406 |
+
{
|
3407 |
+
"epoch": 49.9,
|
3408 |
+
"learning_rate": 4.99e-05,
|
3409 |
+
"loss": 0.0223,
|
3410 |
+
"step": 499
|
3411 |
+
},
|
3412 |
+
{
|
3413 |
+
"epoch": 50.0,
|
3414 |
+
"learning_rate": 5e-05,
|
3415 |
+
"loss": 0.0288,
|
3416 |
+
"step": 500
|
3417 |
+
},
|
3418 |
+
{
|
3419 |
+
"epoch": 50.0,
|
3420 |
+
"eval_accuracy_safe": 0.7725336448201818,
|
3421 |
+
"eval_accuracy_unlabeled": NaN,
|
3422 |
+
"eval_accuracy_unsafe": 0.9964236696535715,
|
3423 |
+
"eval_iou_safe": 0.6913067476197047,
|
3424 |
+
"eval_iou_unlabeled": NaN,
|
3425 |
+
"eval_iou_unsafe": 0.989572364879132,
|
3426 |
+
"eval_loss": 0.038585416972637177,
|
3427 |
+
"eval_mean_accuracy": 0.8844786572368767,
|
3428 |
+
"eval_mean_iou": 0.8404395562494184,
|
3429 |
+
"eval_overall_accuracy": 0.9898103173099347,
|
3430 |
+
"eval_runtime": 9.9942,
|
3431 |
+
"eval_samples_per_second": 6.704,
|
3432 |
+
"eval_steps_per_second": 0.5,
|
3433 |
+
"step": 500
|
3434 |
+
},
|
3435 |
+
{
|
3436 |
+
"epoch": 50.1,
|
3437 |
+
"learning_rate": 5.0100000000000005e-05,
|
3438 |
+
"loss": 0.0228,
|
3439 |
+
"step": 501
|
3440 |
+
},
|
3441 |
+
{
|
3442 |
+
"epoch": 50.2,
|
3443 |
+
"learning_rate": 5.02e-05,
|
3444 |
+
"loss": 0.0247,
|
3445 |
+
"step": 502
|
3446 |
+
},
|
3447 |
+
{
|
3448 |
+
"epoch": 50.3,
|
3449 |
+
"learning_rate": 5.03e-05,
|
3450 |
+
"loss": 0.0207,
|
3451 |
+
"step": 503
|
3452 |
+
},
|
3453 |
+
{
|
3454 |
+
"epoch": 50.4,
|
3455 |
+
"learning_rate": 5.0400000000000005e-05,
|
3456 |
+
"loss": 0.0272,
|
3457 |
+
"step": 504
|
3458 |
+
},
|
3459 |
+
{
|
3460 |
+
"epoch": 50.5,
|
3461 |
+
"learning_rate": 5.05e-05,
|
3462 |
+
"loss": 0.0188,
|
3463 |
+
"step": 505
|
3464 |
+
},
|
3465 |
+
{
|
3466 |
+
"epoch": 50.6,
|
3467 |
+
"learning_rate": 5.0600000000000003e-05,
|
3468 |
+
"loss": 0.0261,
|
3469 |
+
"step": 506
|
3470 |
+
},
|
3471 |
+
{
|
3472 |
+
"epoch": 50.7,
|
3473 |
+
"learning_rate": 5.0700000000000006e-05,
|
3474 |
+
"loss": 0.0231,
|
3475 |
+
"step": 507
|
3476 |
+
},
|
3477 |
+
{
|
3478 |
+
"epoch": 50.8,
|
3479 |
+
"learning_rate": 5.08e-05,
|
3480 |
+
"loss": 0.0242,
|
3481 |
+
"step": 508
|
3482 |
+
},
|
3483 |
+
{
|
3484 |
+
"epoch": 50.9,
|
3485 |
+
"learning_rate": 5.0900000000000004e-05,
|
3486 |
+
"loss": 0.0226,
|
3487 |
+
"step": 509
|
3488 |
+
},
|
3489 |
+
{
|
3490 |
+
"epoch": 51.0,
|
3491 |
+
"learning_rate": 5.1000000000000006e-05,
|
3492 |
+
"loss": 0.024,
|
3493 |
+
"step": 510
|
3494 |
+
},
|
3495 |
+
{
|
3496 |
+
"epoch": 51.1,
|
3497 |
+
"learning_rate": 5.11e-05,
|
3498 |
+
"loss": 0.0216,
|
3499 |
+
"step": 511
|
3500 |
+
},
|
3501 |
+
{
|
3502 |
+
"epoch": 51.2,
|
3503 |
+
"learning_rate": 5.1200000000000004e-05,
|
3504 |
+
"loss": 0.0211,
|
3505 |
+
"step": 512
|
3506 |
+
},
|
3507 |
+
{
|
3508 |
+
"epoch": 51.3,
|
3509 |
+
"learning_rate": 5.130000000000001e-05,
|
3510 |
+
"loss": 0.0192,
|
3511 |
+
"step": 513
|
3512 |
+
},
|
3513 |
+
{
|
3514 |
+
"epoch": 51.4,
|
3515 |
+
"learning_rate": 5.14e-05,
|
3516 |
+
"loss": 0.0275,
|
3517 |
+
"step": 514
|
3518 |
+
},
|
3519 |
+
{
|
3520 |
+
"epoch": 51.5,
|
3521 |
+
"learning_rate": 5.1500000000000005e-05,
|
3522 |
+
"loss": 0.0226,
|
3523 |
+
"step": 515
|
3524 |
+
},
|
3525 |
+
{
|
3526 |
+
"epoch": 51.6,
|
3527 |
+
"learning_rate": 5.16e-05,
|
3528 |
+
"loss": 0.0212,
|
3529 |
+
"step": 516
|
3530 |
+
},
|
3531 |
+
{
|
3532 |
+
"epoch": 51.7,
|
3533 |
+
"learning_rate": 5.17e-05,
|
3534 |
+
"loss": 0.0232,
|
3535 |
+
"step": 517
|
3536 |
+
},
|
3537 |
+
{
|
3538 |
+
"epoch": 51.8,
|
3539 |
+
"learning_rate": 5.1800000000000005e-05,
|
3540 |
+
"loss": 0.022,
|
3541 |
+
"step": 518
|
3542 |
+
},
|
3543 |
+
{
|
3544 |
+
"epoch": 51.9,
|
3545 |
+
"learning_rate": 5.19e-05,
|
3546 |
+
"loss": 0.02,
|
3547 |
+
"step": 519
|
3548 |
+
},
|
3549 |
+
{
|
3550 |
+
"epoch": 52.0,
|
3551 |
+
"learning_rate": 5.2000000000000004e-05,
|
3552 |
+
"loss": 0.0266,
|
3553 |
+
"step": 520
|
3554 |
+
},
|
3555 |
+
{
|
3556 |
+
"epoch": 52.0,
|
3557 |
+
"eval_accuracy_safe": 0.7560263838612804,
|
3558 |
+
"eval_accuracy_unlabeled": NaN,
|
3559 |
+
"eval_accuracy_unsafe": 0.9976025597415196,
|
3560 |
+
"eval_iou_safe": 0.7008251349912269,
|
3561 |
+
"eval_iou_unlabeled": NaN,
|
3562 |
+
"eval_iou_unsafe": 0.990249030074391,
|
3563 |
+
"eval_loss": 0.036057572811841965,
|
3564 |
+
"eval_mean_accuracy": 0.8768144718013999,
|
3565 |
+
"eval_mean_iou": 0.845537082532809,
|
3566 |
+
"eval_overall_accuracy": 0.9904667868543027,
|
3567 |
+
"eval_runtime": 9.6421,
|
3568 |
+
"eval_samples_per_second": 6.949,
|
3569 |
+
"eval_steps_per_second": 0.519,
|
3570 |
+
"step": 520
|
3571 |
+
},
|
3572 |
+
{
|
3573 |
+
"epoch": 52.1,
|
3574 |
+
"learning_rate": 5.2100000000000006e-05,
|
3575 |
+
"loss": 0.0196,
|
3576 |
+
"step": 521
|
3577 |
+
},
|
3578 |
+
{
|
3579 |
+
"epoch": 52.2,
|
3580 |
+
"learning_rate": 5.22e-05,
|
3581 |
+
"loss": 0.0221,
|
3582 |
+
"step": 522
|
3583 |
+
},
|
3584 |
+
{
|
3585 |
+
"epoch": 52.3,
|
3586 |
+
"learning_rate": 5.2300000000000004e-05,
|
3587 |
+
"loss": 0.0208,
|
3588 |
+
"step": 523
|
3589 |
+
},
|
3590 |
+
{
|
3591 |
+
"epoch": 52.4,
|
3592 |
+
"learning_rate": 5.2400000000000007e-05,
|
3593 |
+
"loss": 0.0244,
|
3594 |
+
"step": 524
|
3595 |
+
},
|
3596 |
+
{
|
3597 |
+
"epoch": 52.5,
|
3598 |
+
"learning_rate": 5.25e-05,
|
3599 |
+
"loss": 0.0192,
|
3600 |
+
"step": 525
|
3601 |
+
},
|
3602 |
+
{
|
3603 |
+
"epoch": 52.6,
|
3604 |
+
"learning_rate": 5.2600000000000005e-05,
|
3605 |
+
"loss": 0.0231,
|
3606 |
+
"step": 526
|
3607 |
+
},
|
3608 |
+
{
|
3609 |
+
"epoch": 52.7,
|
3610 |
+
"learning_rate": 5.270000000000001e-05,
|
3611 |
+
"loss": 0.021,
|
3612 |
+
"step": 527
|
3613 |
+
},
|
3614 |
+
{
|
3615 |
+
"epoch": 52.8,
|
3616 |
+
"learning_rate": 5.28e-05,
|
3617 |
+
"loss": 0.0211,
|
3618 |
+
"step": 528
|
3619 |
+
},
|
3620 |
+
{
|
3621 |
+
"epoch": 52.9,
|
3622 |
+
"learning_rate": 5.2900000000000005e-05,
|
3623 |
+
"loss": 0.0177,
|
3624 |
+
"step": 529
|
3625 |
+
},
|
3626 |
+
{
|
3627 |
+
"epoch": 53.0,
|
3628 |
+
"learning_rate": 5.300000000000001e-05,
|
3629 |
+
"loss": 0.017,
|
3630 |
+
"step": 530
|
3631 |
+
},
|
3632 |
+
{
|
3633 |
+
"epoch": 53.1,
|
3634 |
+
"learning_rate": 5.31e-05,
|
3635 |
+
"loss": 0.0439,
|
3636 |
+
"step": 531
|
3637 |
+
},
|
3638 |
+
{
|
3639 |
+
"epoch": 53.2,
|
3640 |
+
"learning_rate": 5.3200000000000006e-05,
|
3641 |
+
"loss": 0.0237,
|
3642 |
+
"step": 532
|
3643 |
+
},
|
3644 |
+
{
|
3645 |
+
"epoch": 53.3,
|
3646 |
+
"learning_rate": 5.330000000000001e-05,
|
3647 |
+
"loss": 0.0206,
|
3648 |
+
"step": 533
|
3649 |
+
},
|
3650 |
+
{
|
3651 |
+
"epoch": 53.4,
|
3652 |
+
"learning_rate": 5.3400000000000004e-05,
|
3653 |
+
"loss": 0.0208,
|
3654 |
+
"step": 534
|
3655 |
+
},
|
3656 |
+
{
|
3657 |
+
"epoch": 53.5,
|
3658 |
+
"learning_rate": 5.3500000000000006e-05,
|
3659 |
+
"loss": 0.0194,
|
3660 |
+
"step": 535
|
3661 |
+
},
|
3662 |
+
{
|
3663 |
+
"epoch": 53.6,
|
3664 |
+
"learning_rate": 5.360000000000001e-05,
|
3665 |
+
"loss": 0.0174,
|
3666 |
+
"step": 536
|
3667 |
+
},
|
3668 |
+
{
|
3669 |
+
"epoch": 53.7,
|
3670 |
+
"learning_rate": 5.3700000000000004e-05,
|
3671 |
+
"loss": 0.032,
|
3672 |
+
"step": 537
|
3673 |
+
},
|
3674 |
+
{
|
3675 |
+
"epoch": 53.8,
|
3676 |
+
"learning_rate": 5.380000000000001e-05,
|
3677 |
+
"loss": 0.0246,
|
3678 |
+
"step": 538
|
3679 |
+
},
|
3680 |
+
{
|
3681 |
+
"epoch": 53.9,
|
3682 |
+
"learning_rate": 5.390000000000001e-05,
|
3683 |
+
"loss": 0.0193,
|
3684 |
+
"step": 539
|
3685 |
+
},
|
3686 |
+
{
|
3687 |
+
"epoch": 54.0,
|
3688 |
+
"learning_rate": 5.4000000000000005e-05,
|
3689 |
+
"loss": 0.0241,
|
3690 |
+
"step": 540
|
3691 |
+
},
|
3692 |
+
{
|
3693 |
+
"epoch": 54.0,
|
3694 |
+
"eval_accuracy_safe": 0.8121807548930035,
|
3695 |
+
"eval_accuracy_unlabeled": NaN,
|
3696 |
+
"eval_accuracy_unsafe": 0.9956612104327607,
|
3697 |
+
"eval_iou_safe": 0.7108506704276296,
|
3698 |
+
"eval_iou_unlabeled": NaN,
|
3699 |
+
"eval_iou_unsafe": 0.9900016258040716,
|
3700 |
+
"eval_loss": 0.03671713173389435,
|
3701 |
+
"eval_mean_accuracy": 0.903920982662882,
|
3702 |
+
"eval_mean_iou": 0.8504261481158506,
|
3703 |
+
"eval_overall_accuracy": 0.9902414919725105,
|
3704 |
+
"eval_runtime": 9.733,
|
3705 |
+
"eval_samples_per_second": 6.884,
|
3706 |
+
"eval_steps_per_second": 0.514,
|
3707 |
+
"step": 540
|
3708 |
+
},
|
3709 |
+
{
|
3710 |
+
"epoch": 54.1,
|
3711 |
+
"learning_rate": 5.410000000000001e-05,
|
3712 |
+
"loss": 0.025,
|
3713 |
+
"step": 541
|
3714 |
+
},
|
3715 |
+
{
|
3716 |
+
"epoch": 54.2,
|
3717 |
+
"learning_rate": 5.420000000000001e-05,
|
3718 |
+
"loss": 0.0208,
|
3719 |
+
"step": 542
|
3720 |
+
},
|
3721 |
+
{
|
3722 |
+
"epoch": 54.3,
|
3723 |
+
"learning_rate": 5.4300000000000005e-05,
|
3724 |
+
"loss": 0.0162,
|
3725 |
+
"step": 543
|
3726 |
+
},
|
3727 |
+
{
|
3728 |
+
"epoch": 54.4,
|
3729 |
+
"learning_rate": 5.440000000000001e-05,
|
3730 |
+
"loss": 0.0185,
|
3731 |
+
"step": 544
|
3732 |
+
},
|
3733 |
+
{
|
3734 |
+
"epoch": 54.5,
|
3735 |
+
"learning_rate": 5.45e-05,
|
3736 |
+
"loss": 0.0182,
|
3737 |
+
"step": 545
|
3738 |
+
},
|
3739 |
+
{
|
3740 |
+
"epoch": 54.6,
|
3741 |
+
"learning_rate": 5.4600000000000006e-05,
|
3742 |
+
"loss": 0.019,
|
3743 |
+
"step": 546
|
3744 |
+
},
|
3745 |
+
{
|
3746 |
+
"epoch": 54.7,
|
3747 |
+
"learning_rate": 5.470000000000001e-05,
|
3748 |
+
"loss": 0.0257,
|
3749 |
+
"step": 547
|
3750 |
+
},
|
3751 |
+
{
|
3752 |
+
"epoch": 54.8,
|
3753 |
+
"learning_rate": 5.4800000000000004e-05,
|
3754 |
+
"loss": 0.0286,
|
3755 |
+
"step": 548
|
3756 |
+
},
|
3757 |
+
{
|
3758 |
+
"epoch": 54.9,
|
3759 |
+
"learning_rate": 5.4900000000000006e-05,
|
3760 |
+
"loss": 0.0246,
|
3761 |
+
"step": 549
|
3762 |
+
},
|
3763 |
+
{
|
3764 |
+
"epoch": 55.0,
|
3765 |
+
"learning_rate": 5.500000000000001e-05,
|
3766 |
+
"loss": 0.0214,
|
3767 |
+
"step": 550
|
3768 |
+
},
|
3769 |
+
{
|
3770 |
+
"epoch": 55.1,
|
3771 |
+
"learning_rate": 5.5100000000000004e-05,
|
3772 |
+
"loss": 0.0245,
|
3773 |
+
"step": 551
|
3774 |
+
},
|
3775 |
+
{
|
3776 |
+
"epoch": 55.2,
|
3777 |
+
"learning_rate": 5.520000000000001e-05,
|
3778 |
+
"loss": 0.0219,
|
3779 |
+
"step": 552
|
3780 |
+
},
|
3781 |
+
{
|
3782 |
+
"epoch": 55.3,
|
3783 |
+
"learning_rate": 5.530000000000001e-05,
|
3784 |
+
"loss": 0.0203,
|
3785 |
+
"step": 553
|
3786 |
+
},
|
3787 |
+
{
|
3788 |
+
"epoch": 55.4,
|
3789 |
+
"learning_rate": 5.5400000000000005e-05,
|
3790 |
+
"loss": 0.0216,
|
3791 |
+
"step": 554
|
3792 |
+
},
|
3793 |
+
{
|
3794 |
+
"epoch": 55.5,
|
3795 |
+
"learning_rate": 5.550000000000001e-05,
|
3796 |
+
"loss": 0.0167,
|
3797 |
+
"step": 555
|
3798 |
+
},
|
3799 |
+
{
|
3800 |
+
"epoch": 55.6,
|
3801 |
+
"learning_rate": 5.560000000000001e-05,
|
3802 |
+
"loss": 0.0229,
|
3803 |
+
"step": 556
|
3804 |
+
},
|
3805 |
+
{
|
3806 |
+
"epoch": 55.7,
|
3807 |
+
"learning_rate": 5.5700000000000005e-05,
|
3808 |
+
"loss": 0.0173,
|
3809 |
+
"step": 557
|
3810 |
+
},
|
3811 |
+
{
|
3812 |
+
"epoch": 55.8,
|
3813 |
+
"learning_rate": 5.580000000000001e-05,
|
3814 |
+
"loss": 0.0197,
|
3815 |
+
"step": 558
|
3816 |
+
},
|
3817 |
+
{
|
3818 |
+
"epoch": 55.9,
|
3819 |
+
"learning_rate": 5.590000000000001e-05,
|
3820 |
+
"loss": 0.0181,
|
3821 |
+
"step": 559
|
3822 |
+
},
|
3823 |
+
{
|
3824 |
+
"epoch": 56.0,
|
3825 |
+
"learning_rate": 5.6000000000000006e-05,
|
3826 |
+
"loss": 0.0239,
|
3827 |
+
"step": 560
|
3828 |
+
},
|
3829 |
+
{
|
3830 |
+
"epoch": 56.0,
|
3831 |
+
"eval_accuracy_safe": 0.7650066884861662,
|
3832 |
+
"eval_accuracy_unlabeled": NaN,
|
3833 |
+
"eval_accuracy_unsafe": 0.9967202989102981,
|
3834 |
+
"eval_iou_safe": 0.6905937665302486,
|
3835 |
+
"eval_iou_unlabeled": NaN,
|
3836 |
+
"eval_iou_unsafe": 0.9896417850752393,
|
3837 |
+
"eval_loss": 0.041364945471286774,
|
3838 |
+
"eval_mean_accuracy": 0.8808634936982321,
|
3839 |
+
"eval_mean_iou": 0.8401177758027439,
|
3840 |
+
"eval_overall_accuracy": 0.9898758503928113,
|
3841 |
+
"eval_runtime": 9.7968,
|
3842 |
+
"eval_samples_per_second": 6.839,
|
3843 |
+
"eval_steps_per_second": 0.51,
|
3844 |
+
"step": 560
|
3845 |
+
},
|
3846 |
+
{
|
3847 |
+
"epoch": 56.1,
|
3848 |
+
"learning_rate": 5.610000000000001e-05,
|
3849 |
+
"loss": 0.0186,
|
3850 |
+
"step": 561
|
3851 |
+
},
|
3852 |
+
{
|
3853 |
+
"epoch": 56.2,
|
3854 |
+
"learning_rate": 5.620000000000001e-05,
|
3855 |
+
"loss": 0.0207,
|
3856 |
+
"step": 562
|
3857 |
+
},
|
3858 |
+
{
|
3859 |
+
"epoch": 56.3,
|
3860 |
+
"learning_rate": 5.63e-05,
|
3861 |
+
"loss": 0.0186,
|
3862 |
+
"step": 563
|
3863 |
+
},
|
3864 |
+
{
|
3865 |
+
"epoch": 56.4,
|
3866 |
+
"learning_rate": 5.6399999999999995e-05,
|
3867 |
+
"loss": 0.0218,
|
3868 |
+
"step": 564
|
3869 |
+
},
|
3870 |
+
{
|
3871 |
+
"epoch": 56.5,
|
3872 |
+
"learning_rate": 5.65e-05,
|
3873 |
+
"loss": 0.0165,
|
3874 |
+
"step": 565
|
3875 |
+
},
|
3876 |
+
{
|
3877 |
+
"epoch": 56.6,
|
3878 |
+
"learning_rate": 5.66e-05,
|
3879 |
+
"loss": 0.021,
|
3880 |
+
"step": 566
|
3881 |
+
},
|
3882 |
+
{
|
3883 |
+
"epoch": 56.7,
|
3884 |
+
"learning_rate": 5.6699999999999996e-05,
|
3885 |
+
"loss": 0.0188,
|
3886 |
+
"step": 567
|
3887 |
+
},
|
3888 |
+
{
|
3889 |
+
"epoch": 56.8,
|
3890 |
+
"learning_rate": 5.68e-05,
|
3891 |
+
"loss": 0.0171,
|
3892 |
+
"step": 568
|
3893 |
+
},
|
3894 |
+
{
|
3895 |
+
"epoch": 56.9,
|
3896 |
+
"learning_rate": 5.69e-05,
|
3897 |
+
"loss": 0.0193,
|
3898 |
+
"step": 569
|
3899 |
+
},
|
3900 |
+
{
|
3901 |
+
"epoch": 57.0,
|
3902 |
+
"learning_rate": 5.6999999999999996e-05,
|
3903 |
+
"loss": 0.0197,
|
3904 |
+
"step": 570
|
3905 |
+
},
|
3906 |
+
{
|
3907 |
+
"epoch": 57.1,
|
3908 |
+
"learning_rate": 5.71e-05,
|
3909 |
+
"loss": 0.0196,
|
3910 |
+
"step": 571
|
3911 |
+
},
|
3912 |
+
{
|
3913 |
+
"epoch": 57.2,
|
3914 |
+
"learning_rate": 5.72e-05,
|
3915 |
+
"loss": 0.0176,
|
3916 |
+
"step": 572
|
3917 |
+
},
|
3918 |
+
{
|
3919 |
+
"epoch": 57.3,
|
3920 |
+
"learning_rate": 5.73e-05,
|
3921 |
+
"loss": 0.0183,
|
3922 |
+
"step": 573
|
3923 |
+
},
|
3924 |
+
{
|
3925 |
+
"epoch": 57.4,
|
3926 |
+
"learning_rate": 5.74e-05,
|
3927 |
+
"loss": 0.0172,
|
3928 |
+
"step": 574
|
3929 |
+
},
|
3930 |
+
{
|
3931 |
+
"epoch": 57.5,
|
3932 |
+
"learning_rate": 5.7499999999999995e-05,
|
3933 |
+
"loss": 0.0222,
|
3934 |
+
"step": 575
|
3935 |
+
},
|
3936 |
+
{
|
3937 |
+
"epoch": 57.6,
|
3938 |
+
"learning_rate": 5.76e-05,
|
3939 |
+
"loss": 0.0191,
|
3940 |
+
"step": 576
|
3941 |
+
},
|
3942 |
+
{
|
3943 |
+
"epoch": 57.7,
|
3944 |
+
"learning_rate": 5.77e-05,
|
3945 |
+
"loss": 0.0159,
|
3946 |
+
"step": 577
|
3947 |
+
},
|
3948 |
+
{
|
3949 |
+
"epoch": 57.8,
|
3950 |
+
"learning_rate": 5.7799999999999995e-05,
|
3951 |
+
"loss": 0.0146,
|
3952 |
+
"step": 578
|
3953 |
+
},
|
3954 |
+
{
|
3955 |
+
"epoch": 57.9,
|
3956 |
+
"learning_rate": 5.79e-05,
|
3957 |
+
"loss": 0.0188,
|
3958 |
+
"step": 579
|
3959 |
+
},
|
3960 |
+
{
|
3961 |
+
"epoch": 58.0,
|
3962 |
+
"learning_rate": 5.8e-05,
|
3963 |
+
"loss": 0.0221,
|
3964 |
+
"step": 580
|
3965 |
+
},
|
3966 |
+
{
|
3967 |
+
"epoch": 58.0,
|
3968 |
+
"eval_accuracy_safe": 0.7976993149602353,
|
3969 |
+
"eval_accuracy_unlabeled": NaN,
|
3970 |
+
"eval_accuracy_unsafe": 0.9965618932550051,
|
3971 |
+
"eval_iou_safe": 0.7167390596532064,
|
3972 |
+
"eval_iou_unlabeled": NaN,
|
3973 |
+
"eval_iou_unsafe": 0.9904630957795426,
|
3974 |
+
"eval_loss": 0.03748689964413643,
|
3975 |
+
"eval_mean_accuracy": 0.8971306041076201,
|
3976 |
+
"eval_mean_iou": 0.8536010777163745,
|
3977 |
+
"eval_overall_accuracy": 0.9906878115525887,
|
3978 |
+
"eval_runtime": 9.8334,
|
3979 |
+
"eval_samples_per_second": 6.814,
|
3980 |
+
"eval_steps_per_second": 0.508,
|
3981 |
+
"step": 580
|
3982 |
+
},
|
3983 |
+
{
|
3984 |
+
"epoch": 58.1,
|
3985 |
+
"learning_rate": 5.8099999999999996e-05,
|
3986 |
+
"loss": 0.0206,
|
3987 |
+
"step": 581
|
3988 |
+
},
|
3989 |
+
{
|
3990 |
+
"epoch": 58.2,
|
3991 |
+
"learning_rate": 5.82e-05,
|
3992 |
+
"loss": 0.0216,
|
3993 |
+
"step": 582
|
3994 |
+
},
|
3995 |
+
{
|
3996 |
+
"epoch": 58.3,
|
3997 |
+
"learning_rate": 5.83e-05,
|
3998 |
+
"loss": 0.0168,
|
3999 |
+
"step": 583
|
4000 |
+
},
|
4001 |
+
{
|
4002 |
+
"epoch": 58.4,
|
4003 |
+
"learning_rate": 5.8399999999999997e-05,
|
4004 |
+
"loss": 0.0307,
|
4005 |
+
"step": 584
|
4006 |
+
},
|
4007 |
+
{
|
4008 |
+
"epoch": 58.5,
|
4009 |
+
"learning_rate": 5.85e-05,
|
4010 |
+
"loss": 0.0148,
|
4011 |
+
"step": 585
|
4012 |
+
},
|
4013 |
+
{
|
4014 |
+
"epoch": 58.6,
|
4015 |
+
"learning_rate": 5.86e-05,
|
4016 |
+
"loss": 0.0172,
|
4017 |
+
"step": 586
|
4018 |
+
},
|
4019 |
+
{
|
4020 |
+
"epoch": 58.7,
|
4021 |
+
"learning_rate": 5.87e-05,
|
4022 |
+
"loss": 0.0162,
|
4023 |
+
"step": 587
|
4024 |
+
},
|
4025 |
+
{
|
4026 |
+
"epoch": 58.8,
|
4027 |
+
"learning_rate": 5.88e-05,
|
4028 |
+
"loss": 0.0183,
|
4029 |
+
"step": 588
|
4030 |
+
},
|
4031 |
+
{
|
4032 |
+
"epoch": 58.9,
|
4033 |
+
"learning_rate": 5.89e-05,
|
4034 |
+
"loss": 0.0194,
|
4035 |
+
"step": 589
|
4036 |
+
},
|
4037 |
+
{
|
4038 |
+
"epoch": 59.0,
|
4039 |
+
"learning_rate": 5.9e-05,
|
4040 |
+
"loss": 0.0196,
|
4041 |
+
"step": 590
|
4042 |
+
},
|
4043 |
+
{
|
4044 |
+
"epoch": 59.1,
|
4045 |
+
"learning_rate": 5.91e-05,
|
4046 |
+
"loss": 0.0141,
|
4047 |
+
"step": 591
|
4048 |
+
},
|
4049 |
+
{
|
4050 |
+
"epoch": 59.2,
|
4051 |
+
"learning_rate": 5.92e-05,
|
4052 |
+
"loss": 0.0171,
|
4053 |
+
"step": 592
|
4054 |
+
},
|
4055 |
+
{
|
4056 |
+
"epoch": 59.3,
|
4057 |
+
"learning_rate": 5.93e-05,
|
4058 |
+
"loss": 0.0177,
|
4059 |
+
"step": 593
|
4060 |
+
},
|
4061 |
+
{
|
4062 |
+
"epoch": 59.4,
|
4063 |
+
"learning_rate": 5.94e-05,
|
4064 |
+
"loss": 0.0222,
|
4065 |
+
"step": 594
|
4066 |
+
},
|
4067 |
+
{
|
4068 |
+
"epoch": 59.5,
|
4069 |
+
"learning_rate": 5.95e-05,
|
4070 |
+
"loss": 0.0166,
|
4071 |
+
"step": 595
|
4072 |
+
},
|
4073 |
+
{
|
4074 |
+
"epoch": 59.6,
|
4075 |
+
"learning_rate": 5.96e-05,
|
4076 |
+
"loss": 0.0174,
|
4077 |
+
"step": 596
|
4078 |
+
},
|
4079 |
+
{
|
4080 |
+
"epoch": 59.7,
|
4081 |
+
"learning_rate": 5.97e-05,
|
4082 |
+
"loss": 0.0154,
|
4083 |
+
"step": 597
|
4084 |
+
},
|
4085 |
+
{
|
4086 |
+
"epoch": 59.8,
|
4087 |
+
"learning_rate": 5.9800000000000003e-05,
|
4088 |
+
"loss": 0.0232,
|
4089 |
+
"step": 598
|
4090 |
+
},
|
4091 |
+
{
|
4092 |
+
"epoch": 59.9,
|
4093 |
+
"learning_rate": 5.99e-05,
|
4094 |
+
"loss": 0.0157,
|
4095 |
+
"step": 599
|
4096 |
+
},
|
4097 |
+
{
|
4098 |
+
"epoch": 60.0,
|
4099 |
+
"learning_rate": 6e-05,
|
4100 |
+
"loss": 0.0324,
|
4101 |
+
"step": 600
|
4102 |
+
},
|
4103 |
+
{
|
4104 |
+
"epoch": 60.0,
|
4105 |
+
"eval_accuracy_safe": 0.8068685163125817,
|
4106 |
+
"eval_accuracy_unlabeled": NaN,
|
4107 |
+
"eval_accuracy_unsafe": 0.9964494839085082,
|
4108 |
+
"eval_iou_safe": 0.7225799212870262,
|
4109 |
+
"eval_iou_unlabeled": NaN,
|
4110 |
+
"eval_iou_unsafe": 0.9906261535768677,
|
4111 |
+
"eval_loss": 0.03895491361618042,
|
4112 |
+
"eval_mean_accuracy": 0.9016590001105449,
|
4113 |
+
"eval_mean_iou": 0.8566030374319469,
|
4114 |
+
"eval_overall_accuracy": 0.9908495661038071,
|
4115 |
+
"eval_runtime": 10.0022,
|
4116 |
+
"eval_samples_per_second": 6.699,
|
4117 |
+
"eval_steps_per_second": 0.5,
|
4118 |
+
"step": 600
|
4119 |
+
},
|
4120 |
+
{
|
4121 |
+
"epoch": 60.1,
|
4122 |
+
"learning_rate": 6.0100000000000004e-05,
|
4123 |
+
"loss": 0.0155,
|
4124 |
+
"step": 601
|
4125 |
+
},
|
4126 |
+
{
|
4127 |
+
"epoch": 60.2,
|
4128 |
+
"learning_rate": 6.02e-05,
|
4129 |
+
"loss": 0.0155,
|
4130 |
+
"step": 602
|
4131 |
+
},
|
4132 |
+
{
|
4133 |
+
"epoch": 60.3,
|
4134 |
+
"learning_rate": 6.03e-05,
|
4135 |
+
"loss": 0.0176,
|
4136 |
+
"step": 603
|
4137 |
+
},
|
4138 |
+
{
|
4139 |
+
"epoch": 60.4,
|
4140 |
+
"learning_rate": 6.04e-05,
|
4141 |
+
"loss": 0.0234,
|
4142 |
+
"step": 604
|
4143 |
+
},
|
4144 |
+
{
|
4145 |
+
"epoch": 60.5,
|
4146 |
+
"learning_rate": 6.05e-05,
|
4147 |
+
"loss": 0.0178,
|
4148 |
+
"step": 605
|
4149 |
+
},
|
4150 |
+
{
|
4151 |
+
"epoch": 60.6,
|
4152 |
+
"learning_rate": 6.06e-05,
|
4153 |
+
"loss": 0.0157,
|
4154 |
+
"step": 606
|
4155 |
+
},
|
4156 |
+
{
|
4157 |
+
"epoch": 60.7,
|
4158 |
+
"learning_rate": 6.07e-05,
|
4159 |
+
"loss": 0.0164,
|
4160 |
+
"step": 607
|
4161 |
+
},
|
4162 |
+
{
|
4163 |
+
"epoch": 60.8,
|
4164 |
+
"learning_rate": 6.08e-05,
|
4165 |
+
"loss": 0.0192,
|
4166 |
+
"step": 608
|
4167 |
+
},
|
4168 |
+
{
|
4169 |
+
"epoch": 60.9,
|
4170 |
+
"learning_rate": 6.09e-05,
|
4171 |
+
"loss": 0.0182,
|
4172 |
+
"step": 609
|
4173 |
+
},
|
4174 |
+
{
|
4175 |
+
"epoch": 61.0,
|
4176 |
+
"learning_rate": 6.1e-05,
|
4177 |
+
"loss": 0.0202,
|
4178 |
+
"step": 610
|
4179 |
+
},
|
4180 |
+
{
|
4181 |
+
"epoch": 61.1,
|
4182 |
+
"learning_rate": 6.110000000000001e-05,
|
4183 |
+
"loss": 0.0204,
|
4184 |
+
"step": 611
|
4185 |
+
},
|
4186 |
+
{
|
4187 |
+
"epoch": 61.2,
|
4188 |
+
"learning_rate": 6.12e-05,
|
4189 |
+
"loss": 0.0137,
|
4190 |
+
"step": 612
|
4191 |
+
},
|
4192 |
+
{
|
4193 |
+
"epoch": 61.3,
|
4194 |
+
"learning_rate": 6.13e-05,
|
4195 |
+
"loss": 0.017,
|
4196 |
+
"step": 613
|
4197 |
+
},
|
4198 |
+
{
|
4199 |
+
"epoch": 61.4,
|
4200 |
+
"learning_rate": 6.14e-05,
|
4201 |
+
"loss": 0.0159,
|
4202 |
+
"step": 614
|
4203 |
+
},
|
4204 |
+
{
|
4205 |
+
"epoch": 61.5,
|
4206 |
+
"learning_rate": 6.15e-05,
|
4207 |
+
"loss": 0.0151,
|
4208 |
+
"step": 615
|
4209 |
+
},
|
4210 |
+
{
|
4211 |
+
"epoch": 61.6,
|
4212 |
+
"learning_rate": 6.16e-05,
|
4213 |
+
"loss": 0.015,
|
4214 |
+
"step": 616
|
4215 |
+
},
|
4216 |
+
{
|
4217 |
+
"epoch": 61.7,
|
4218 |
+
"learning_rate": 6.170000000000001e-05,
|
4219 |
+
"loss": 0.0172,
|
4220 |
+
"step": 617
|
4221 |
+
},
|
4222 |
+
{
|
4223 |
+
"epoch": 61.8,
|
4224 |
+
"learning_rate": 6.18e-05,
|
4225 |
+
"loss": 0.0191,
|
4226 |
+
"step": 618
|
4227 |
+
},
|
4228 |
+
{
|
4229 |
+
"epoch": 61.9,
|
4230 |
+
"learning_rate": 6.19e-05,
|
4231 |
+
"loss": 0.0179,
|
4232 |
+
"step": 619
|
4233 |
+
},
|
4234 |
+
{
|
4235 |
+
"epoch": 62.0,
|
4236 |
+
"learning_rate": 6.2e-05,
|
4237 |
+
"loss": 0.0264,
|
4238 |
+
"step": 620
|
4239 |
+
},
|
4240 |
+
{
|
4241 |
+
"epoch": 62.0,
|
4242 |
+
"eval_accuracy_safe": 0.8224043083874002,
|
4243 |
+
"eval_accuracy_unlabeled": NaN,
|
4244 |
+
"eval_accuracy_unsafe": 0.9952494143977599,
|
4245 |
+
"eval_iou_safe": 0.7113750989954566,
|
4246 |
+
"eval_iou_unlabeled": NaN,
|
4247 |
+
"eval_iou_unsafe": 0.9898984552881916,
|
4248 |
+
"eval_loss": 0.04052896052598953,
|
4249 |
+
"eval_mean_accuracy": 0.9088268613925801,
|
4250 |
+
"eval_mean_iou": 0.8506367771418242,
|
4251 |
+
"eval_overall_accuracy": 0.9901438471096665,
|
4252 |
+
"eval_runtime": 9.9165,
|
4253 |
+
"eval_samples_per_second": 6.756,
|
4254 |
+
"eval_steps_per_second": 0.504,
|
4255 |
+
"step": 620
|
4256 |
+
},
|
4257 |
+
{
|
4258 |
+
"epoch": 62.1,
|
4259 |
+
"learning_rate": 6.21e-05,
|
4260 |
+
"loss": 0.0192,
|
4261 |
+
"step": 621
|
4262 |
+
},
|
4263 |
+
{
|
4264 |
+
"epoch": 62.2,
|
4265 |
+
"learning_rate": 6.220000000000001e-05,
|
4266 |
+
"loss": 0.0147,
|
4267 |
+
"step": 622
|
4268 |
+
},
|
4269 |
+
{
|
4270 |
+
"epoch": 62.3,
|
4271 |
+
"learning_rate": 6.23e-05,
|
4272 |
+
"loss": 0.0165,
|
4273 |
+
"step": 623
|
4274 |
+
},
|
4275 |
+
{
|
4276 |
+
"epoch": 62.4,
|
4277 |
+
"learning_rate": 6.24e-05,
|
4278 |
+
"loss": 0.0152,
|
4279 |
+
"step": 624
|
4280 |
+
},
|
4281 |
+
{
|
4282 |
+
"epoch": 62.5,
|
4283 |
+
"learning_rate": 6.25e-05,
|
4284 |
+
"loss": 0.0182,
|
4285 |
+
"step": 625
|
4286 |
+
},
|
4287 |
+
{
|
4288 |
+
"epoch": 62.6,
|
4289 |
+
"learning_rate": 6.26e-05,
|
4290 |
+
"loss": 0.0183,
|
4291 |
+
"step": 626
|
4292 |
+
},
|
4293 |
+
{
|
4294 |
+
"epoch": 62.7,
|
4295 |
+
"learning_rate": 6.27e-05,
|
4296 |
+
"loss": 0.0166,
|
4297 |
+
"step": 627
|
4298 |
+
},
|
4299 |
+
{
|
4300 |
+
"epoch": 62.8,
|
4301 |
+
"learning_rate": 6.280000000000001e-05,
|
4302 |
+
"loss": 0.0164,
|
4303 |
+
"step": 628
|
4304 |
+
},
|
4305 |
+
{
|
4306 |
+
"epoch": 62.9,
|
4307 |
+
"learning_rate": 6.29e-05,
|
4308 |
+
"loss": 0.0197,
|
4309 |
+
"step": 629
|
4310 |
+
},
|
4311 |
+
{
|
4312 |
+
"epoch": 63.0,
|
4313 |
+
"learning_rate": 6.3e-05,
|
4314 |
+
"loss": 0.0156,
|
4315 |
+
"step": 630
|
4316 |
+
},
|
4317 |
+
{
|
4318 |
+
"epoch": 63.1,
|
4319 |
+
"learning_rate": 6.31e-05,
|
4320 |
+
"loss": 0.0154,
|
4321 |
+
"step": 631
|
4322 |
+
},
|
4323 |
+
{
|
4324 |
+
"epoch": 63.2,
|
4325 |
+
"learning_rate": 6.32e-05,
|
4326 |
+
"loss": 0.0157,
|
4327 |
+
"step": 632
|
4328 |
+
},
|
4329 |
+
{
|
4330 |
+
"epoch": 63.3,
|
4331 |
+
"learning_rate": 6.330000000000001e-05,
|
4332 |
+
"loss": 0.0182,
|
4333 |
+
"step": 633
|
4334 |
+
},
|
4335 |
+
{
|
4336 |
+
"epoch": 63.4,
|
4337 |
+
"learning_rate": 6.340000000000001e-05,
|
4338 |
+
"loss": 0.0158,
|
4339 |
+
"step": 634
|
4340 |
+
},
|
4341 |
+
{
|
4342 |
+
"epoch": 63.5,
|
4343 |
+
"learning_rate": 6.35e-05,
|
4344 |
+
"loss": 0.0164,
|
4345 |
+
"step": 635
|
4346 |
+
},
|
4347 |
+
{
|
4348 |
+
"epoch": 63.6,
|
4349 |
+
"learning_rate": 6.36e-05,
|
4350 |
+
"loss": 0.0165,
|
4351 |
+
"step": 636
|
4352 |
+
},
|
4353 |
+
{
|
4354 |
+
"epoch": 63.7,
|
4355 |
+
"learning_rate": 6.37e-05,
|
4356 |
+
"loss": 0.0174,
|
4357 |
+
"step": 637
|
4358 |
+
},
|
4359 |
+
{
|
4360 |
+
"epoch": 63.8,
|
4361 |
+
"learning_rate": 6.38e-05,
|
4362 |
+
"loss": 0.0187,
|
4363 |
+
"step": 638
|
4364 |
+
},
|
4365 |
+
{
|
4366 |
+
"epoch": 63.9,
|
4367 |
+
"learning_rate": 6.390000000000001e-05,
|
4368 |
+
"loss": 0.0159,
|
4369 |
+
"step": 639
|
4370 |
+
},
|
4371 |
+
{
|
4372 |
+
"epoch": 64.0,
|
4373 |
+
"learning_rate": 6.400000000000001e-05,
|
4374 |
+
"loss": 0.0146,
|
4375 |
+
"step": 640
|
4376 |
+
},
|
4377 |
+
{
|
4378 |
+
"epoch": 64.0,
|
4379 |
+
"eval_accuracy_safe": 0.8358294686604909,
|
4380 |
+
"eval_accuracy_unlabeled": NaN,
|
4381 |
+
"eval_accuracy_unsafe": 0.995804948897749,
|
4382 |
+
"eval_iou_safe": 0.7345851134835153,
|
4383 |
+
"eval_iou_unlabeled": NaN,
|
4384 |
+
"eval_iou_unsafe": 0.9908537165576825,
|
4385 |
+
"eval_loss": 0.03560740128159523,
|
4386 |
+
"eval_mean_accuracy": 0.9158172087791199,
|
4387 |
+
"eval_mean_iou": 0.8627194150205989,
|
4388 |
+
"eval_overall_accuracy": 0.9910795297195663,
|
4389 |
+
"eval_runtime": 9.931,
|
4390 |
+
"eval_samples_per_second": 6.747,
|
4391 |
+
"eval_steps_per_second": 0.503,
|
4392 |
+
"step": 640
|
4393 |
+
},
|
4394 |
+
{
|
4395 |
+
"epoch": 64.1,
|
4396 |
+
"learning_rate": 6.41e-05,
|
4397 |
+
"loss": 0.0193,
|
4398 |
+
"step": 641
|
4399 |
+
},
|
4400 |
+
{
|
4401 |
+
"epoch": 64.2,
|
4402 |
+
"learning_rate": 6.42e-05,
|
4403 |
+
"loss": 0.0134,
|
4404 |
+
"step": 642
|
4405 |
+
},
|
4406 |
+
{
|
4407 |
+
"epoch": 64.3,
|
4408 |
+
"learning_rate": 6.43e-05,
|
4409 |
+
"loss": 0.0151,
|
4410 |
+
"step": 643
|
4411 |
+
},
|
4412 |
+
{
|
4413 |
+
"epoch": 64.4,
|
4414 |
+
"learning_rate": 6.440000000000001e-05,
|
4415 |
+
"loss": 0.0163,
|
4416 |
+
"step": 644
|
4417 |
+
},
|
4418 |
+
{
|
4419 |
+
"epoch": 64.5,
|
4420 |
+
"learning_rate": 6.450000000000001e-05,
|
4421 |
+
"loss": 0.0152,
|
4422 |
+
"step": 645
|
4423 |
+
},
|
4424 |
+
{
|
4425 |
+
"epoch": 64.6,
|
4426 |
+
"learning_rate": 6.460000000000001e-05,
|
4427 |
+
"loss": 0.0151,
|
4428 |
+
"step": 646
|
4429 |
+
},
|
4430 |
+
{
|
4431 |
+
"epoch": 64.7,
|
4432 |
+
"learning_rate": 6.47e-05,
|
4433 |
+
"loss": 0.0175,
|
4434 |
+
"step": 647
|
4435 |
+
},
|
4436 |
+
{
|
4437 |
+
"epoch": 64.8,
|
4438 |
+
"learning_rate": 6.48e-05,
|
4439 |
+
"loss": 0.0145,
|
4440 |
+
"step": 648
|
4441 |
+
},
|
4442 |
+
{
|
4443 |
+
"epoch": 64.9,
|
4444 |
+
"learning_rate": 6.49e-05,
|
4445 |
+
"loss": 0.0169,
|
4446 |
+
"step": 649
|
4447 |
+
},
|
4448 |
+
{
|
4449 |
+
"epoch": 65.0,
|
4450 |
+
"learning_rate": 6.500000000000001e-05,
|
4451 |
+
"loss": 0.0147,
|
4452 |
+
"step": 650
|
4453 |
+
},
|
4454 |
+
{
|
4455 |
+
"epoch": 65.1,
|
4456 |
+
"learning_rate": 6.510000000000001e-05,
|
4457 |
+
"loss": 0.0147,
|
4458 |
+
"step": 651
|
4459 |
+
},
|
4460 |
+
{
|
4461 |
+
"epoch": 65.2,
|
4462 |
+
"learning_rate": 6.52e-05,
|
4463 |
+
"loss": 0.0155,
|
4464 |
+
"step": 652
|
4465 |
+
},
|
4466 |
+
{
|
4467 |
+
"epoch": 65.3,
|
4468 |
+
"learning_rate": 6.53e-05,
|
4469 |
+
"loss": 0.0148,
|
4470 |
+
"step": 653
|
4471 |
+
},
|
4472 |
+
{
|
4473 |
+
"epoch": 65.4,
|
4474 |
+
"learning_rate": 6.54e-05,
|
4475 |
+
"loss": 0.0135,
|
4476 |
+
"step": 654
|
4477 |
+
},
|
4478 |
+
{
|
4479 |
+
"epoch": 65.5,
|
4480 |
+
"learning_rate": 6.55e-05,
|
4481 |
+
"loss": 0.0133,
|
4482 |
+
"step": 655
|
4483 |
+
},
|
4484 |
+
{
|
4485 |
+
"epoch": 65.6,
|
4486 |
+
"learning_rate": 6.560000000000001e-05,
|
4487 |
+
"loss": 0.0136,
|
4488 |
+
"step": 656
|
4489 |
+
},
|
4490 |
+
{
|
4491 |
+
"epoch": 65.7,
|
4492 |
+
"learning_rate": 6.570000000000001e-05,
|
4493 |
+
"loss": 0.0173,
|
4494 |
+
"step": 657
|
4495 |
+
},
|
4496 |
+
{
|
4497 |
+
"epoch": 65.8,
|
4498 |
+
"learning_rate": 6.58e-05,
|
4499 |
+
"loss": 0.0142,
|
4500 |
+
"step": 658
|
4501 |
+
},
|
4502 |
+
{
|
4503 |
+
"epoch": 65.9,
|
4504 |
+
"learning_rate": 6.59e-05,
|
4505 |
+
"loss": 0.0165,
|
4506 |
+
"step": 659
|
4507 |
+
},
|
4508 |
+
{
|
4509 |
+
"epoch": 66.0,
|
4510 |
+
"learning_rate": 6.6e-05,
|
4511 |
+
"loss": 0.0252,
|
4512 |
+
"step": 660
|
4513 |
+
},
|
4514 |
+
{
|
4515 |
+
"epoch": 66.0,
|
4516 |
+
"eval_accuracy_safe": 0.8046113931711906,
|
4517 |
+
"eval_accuracy_unlabeled": NaN,
|
4518 |
+
"eval_accuracy_unsafe": 0.9974217426194405,
|
4519 |
+
"eval_iou_safe": 0.7417778472780001,
|
4520 |
+
"eval_iou_unlabeled": NaN,
|
4521 |
+
"eval_iou_unsafe": 0.991525009544381,
|
4522 |
+
"eval_loss": 0.030962325632572174,
|
4523 |
+
"eval_mean_accuracy": 0.9010165678953155,
|
4524 |
+
"eval_mean_iou": 0.8666514284111906,
|
4525 |
+
"eval_overall_accuracy": 0.9917264340528801,
|
4526 |
+
"eval_runtime": 9.7104,
|
4527 |
+
"eval_samples_per_second": 6.9,
|
4528 |
+
"eval_steps_per_second": 0.515,
|
4529 |
+
"step": 660
|
4530 |
+
},
|
4531 |
+
{
|
4532 |
+
"epoch": 66.1,
|
4533 |
+
"learning_rate": 6.610000000000001e-05,
|
4534 |
+
"loss": 0.0154,
|
4535 |
+
"step": 661
|
4536 |
+
},
|
4537 |
+
{
|
4538 |
+
"epoch": 66.2,
|
4539 |
+
"learning_rate": 6.620000000000001e-05,
|
4540 |
+
"loss": 0.0141,
|
4541 |
+
"step": 662
|
4542 |
+
},
|
4543 |
+
{
|
4544 |
+
"epoch": 66.3,
|
4545 |
+
"learning_rate": 6.630000000000001e-05,
|
4546 |
+
"loss": 0.018,
|
4547 |
+
"step": 663
|
4548 |
+
},
|
4549 |
+
{
|
4550 |
+
"epoch": 66.4,
|
4551 |
+
"learning_rate": 6.64e-05,
|
4552 |
+
"loss": 0.0162,
|
4553 |
+
"step": 664
|
4554 |
+
},
|
4555 |
+
{
|
4556 |
+
"epoch": 66.5,
|
4557 |
+
"learning_rate": 6.65e-05,
|
4558 |
+
"loss": 0.0191,
|
4559 |
+
"step": 665
|
4560 |
+
},
|
4561 |
+
{
|
4562 |
+
"epoch": 66.6,
|
4563 |
+
"learning_rate": 6.66e-05,
|
4564 |
+
"loss": 0.0175,
|
4565 |
+
"step": 666
|
4566 |
+
},
|
4567 |
+
{
|
4568 |
+
"epoch": 66.7,
|
4569 |
+
"learning_rate": 6.670000000000001e-05,
|
4570 |
+
"loss": 0.0178,
|
4571 |
+
"step": 667
|
4572 |
+
},
|
4573 |
+
{
|
4574 |
+
"epoch": 66.8,
|
4575 |
+
"learning_rate": 6.680000000000001e-05,
|
4576 |
+
"loss": 0.0136,
|
4577 |
+
"step": 668
|
4578 |
+
},
|
4579 |
+
{
|
4580 |
+
"epoch": 66.9,
|
4581 |
+
"learning_rate": 6.690000000000001e-05,
|
4582 |
+
"loss": 0.0149,
|
4583 |
+
"step": 669
|
4584 |
+
},
|
4585 |
+
{
|
4586 |
+
"epoch": 67.0,
|
4587 |
+
"learning_rate": 6.7e-05,
|
4588 |
+
"loss": 0.0209,
|
4589 |
+
"step": 670
|
4590 |
+
},
|
4591 |
+
{
|
4592 |
+
"epoch": 67.1,
|
4593 |
+
"learning_rate": 6.71e-05,
|
4594 |
+
"loss": 0.0178,
|
4595 |
+
"step": 671
|
4596 |
+
},
|
4597 |
+
{
|
4598 |
+
"epoch": 67.2,
|
4599 |
+
"learning_rate": 6.720000000000001e-05,
|
4600 |
+
"loss": 0.017,
|
4601 |
+
"step": 672
|
4602 |
+
},
|
4603 |
+
{
|
4604 |
+
"epoch": 67.3,
|
4605 |
+
"learning_rate": 6.730000000000001e-05,
|
4606 |
+
"loss": 0.0201,
|
4607 |
+
"step": 673
|
4608 |
+
},
|
4609 |
+
{
|
4610 |
+
"epoch": 67.4,
|
4611 |
+
"learning_rate": 6.740000000000001e-05,
|
4612 |
+
"loss": 0.0164,
|
4613 |
+
"step": 674
|
4614 |
+
},
|
4615 |
+
{
|
4616 |
+
"epoch": 67.5,
|
4617 |
+
"learning_rate": 6.750000000000001e-05,
|
4618 |
+
"loss": 0.0175,
|
4619 |
+
"step": 675
|
4620 |
+
},
|
4621 |
+
{
|
4622 |
+
"epoch": 67.6,
|
4623 |
+
"learning_rate": 6.76e-05,
|
4624 |
+
"loss": 0.016,
|
4625 |
+
"step": 676
|
4626 |
+
},
|
4627 |
+
{
|
4628 |
+
"epoch": 67.7,
|
4629 |
+
"learning_rate": 6.77e-05,
|
4630 |
+
"loss": 0.0171,
|
4631 |
+
"step": 677
|
4632 |
+
},
|
4633 |
+
{
|
4634 |
+
"epoch": 67.8,
|
4635 |
+
"learning_rate": 6.780000000000001e-05,
|
4636 |
+
"loss": 0.0166,
|
4637 |
+
"step": 678
|
4638 |
+
},
|
4639 |
+
{
|
4640 |
+
"epoch": 67.9,
|
4641 |
+
"learning_rate": 6.790000000000001e-05,
|
4642 |
+
"loss": 0.02,
|
4643 |
+
"step": 679
|
4644 |
+
},
|
4645 |
+
{
|
4646 |
+
"epoch": 68.0,
|
4647 |
+
"learning_rate": 6.800000000000001e-05,
|
4648 |
+
"loss": 0.0155,
|
4649 |
+
"step": 680
|
4650 |
+
},
|
4651 |
+
{
|
4652 |
+
"epoch": 68.0,
|
4653 |
+
"eval_accuracy_safe": 0.815156842109321,
|
4654 |
+
"eval_accuracy_unlabeled": NaN,
|
4655 |
+
"eval_accuracy_unsafe": 0.9961157173259295,
|
4656 |
+
"eval_iou_safe": 0.7229034083236326,
|
4657 |
+
"eval_iou_unlabeled": NaN,
|
4658 |
+
"eval_iou_unsafe": 0.990542767020076,
|
4659 |
+
"eval_loss": 0.03587646782398224,
|
4660 |
+
"eval_mean_accuracy": 0.9056362797176253,
|
4661 |
+
"eval_mean_iou": 0.8567230876718543,
|
4662 |
+
"eval_overall_accuracy": 0.9907704823052705,
|
4663 |
+
"eval_runtime": 9.8125,
|
4664 |
+
"eval_samples_per_second": 6.828,
|
4665 |
+
"eval_steps_per_second": 0.51,
|
4666 |
+
"step": 680
|
4667 |
+
},
|
4668 |
+
{
|
4669 |
+
"epoch": 68.1,
|
4670 |
+
"learning_rate": 6.81e-05,
|
4671 |
+
"loss": 0.0142,
|
4672 |
+
"step": 681
|
4673 |
+
},
|
4674 |
+
{
|
4675 |
+
"epoch": 68.2,
|
4676 |
+
"learning_rate": 6.82e-05,
|
4677 |
+
"loss": 0.0171,
|
4678 |
+
"step": 682
|
4679 |
+
},
|
4680 |
+
{
|
4681 |
+
"epoch": 68.3,
|
4682 |
+
"learning_rate": 6.83e-05,
|
4683 |
+
"loss": 0.0248,
|
4684 |
+
"step": 683
|
4685 |
+
},
|
4686 |
+
{
|
4687 |
+
"epoch": 68.4,
|
4688 |
+
"learning_rate": 6.840000000000001e-05,
|
4689 |
+
"loss": 0.014,
|
4690 |
+
"step": 684
|
4691 |
+
},
|
4692 |
+
{
|
4693 |
+
"epoch": 68.5,
|
4694 |
+
"learning_rate": 6.850000000000001e-05,
|
4695 |
+
"loss": 0.0152,
|
4696 |
+
"step": 685
|
4697 |
+
},
|
4698 |
+
{
|
4699 |
+
"epoch": 68.6,
|
4700 |
+
"learning_rate": 6.860000000000001e-05,
|
4701 |
+
"loss": 0.0184,
|
4702 |
+
"step": 686
|
4703 |
+
},
|
4704 |
+
{
|
4705 |
+
"epoch": 68.7,
|
4706 |
+
"learning_rate": 6.87e-05,
|
4707 |
+
"loss": 0.0148,
|
4708 |
+
"step": 687
|
4709 |
+
},
|
4710 |
+
{
|
4711 |
+
"epoch": 68.8,
|
4712 |
+
"learning_rate": 6.879999999999999e-05,
|
4713 |
+
"loss": 0.0143,
|
4714 |
+
"step": 688
|
4715 |
+
},
|
4716 |
+
{
|
4717 |
+
"epoch": 68.9,
|
4718 |
+
"learning_rate": 6.89e-05,
|
4719 |
+
"loss": 0.0191,
|
4720 |
+
"step": 689
|
4721 |
+
},
|
4722 |
+
{
|
4723 |
+
"epoch": 69.0,
|
4724 |
+
"learning_rate": 6.9e-05,
|
4725 |
+
"loss": 0.014,
|
4726 |
+
"step": 690
|
4727 |
+
},
|
4728 |
+
{
|
4729 |
+
"epoch": 69.1,
|
4730 |
+
"learning_rate": 6.91e-05,
|
4731 |
+
"loss": 0.0146,
|
4732 |
+
"step": 691
|
4733 |
+
},
|
4734 |
+
{
|
4735 |
+
"epoch": 69.2,
|
4736 |
+
"learning_rate": 6.92e-05,
|
4737 |
+
"loss": 0.0141,
|
4738 |
+
"step": 692
|
4739 |
+
},
|
4740 |
+
{
|
4741 |
+
"epoch": 69.3,
|
4742 |
+
"learning_rate": 6.93e-05,
|
4743 |
+
"loss": 0.0153,
|
4744 |
+
"step": 693
|
4745 |
+
},
|
4746 |
+
{
|
4747 |
+
"epoch": 69.4,
|
4748 |
+
"learning_rate": 6.939999999999999e-05,
|
4749 |
+
"loss": 0.0192,
|
4750 |
+
"step": 694
|
4751 |
+
},
|
4752 |
+
{
|
4753 |
+
"epoch": 69.5,
|
4754 |
+
"learning_rate": 6.95e-05,
|
4755 |
+
"loss": 0.0222,
|
4756 |
+
"step": 695
|
4757 |
+
},
|
4758 |
+
{
|
4759 |
+
"epoch": 69.6,
|
4760 |
+
"learning_rate": 6.96e-05,
|
4761 |
+
"loss": 0.0168,
|
4762 |
+
"step": 696
|
4763 |
+
},
|
4764 |
+
{
|
4765 |
+
"epoch": 69.7,
|
4766 |
+
"learning_rate": 6.97e-05,
|
4767 |
+
"loss": 0.0153,
|
4768 |
+
"step": 697
|
4769 |
+
},
|
4770 |
+
{
|
4771 |
+
"epoch": 69.8,
|
4772 |
+
"learning_rate": 6.98e-05,
|
4773 |
+
"loss": 0.0147,
|
4774 |
+
"step": 698
|
4775 |
+
},
|
4776 |
+
{
|
4777 |
+
"epoch": 69.9,
|
4778 |
+
"learning_rate": 6.99e-05,
|
4779 |
+
"loss": 0.0152,
|
4780 |
+
"step": 699
|
4781 |
+
},
|
4782 |
+
{
|
4783 |
+
"epoch": 70.0,
|
4784 |
+
"learning_rate": 7e-05,
|
4785 |
+
"loss": 0.0169,
|
4786 |
+
"step": 700
|
4787 |
+
},
|
4788 |
+
{
|
4789 |
+
"epoch": 70.0,
|
4790 |
+
"eval_accuracy_safe": 0.842248102358896,
|
4791 |
+
"eval_accuracy_unlabeled": NaN,
|
4792 |
+
"eval_accuracy_unsafe": 0.9941141738681594,
|
4793 |
+
"eval_iou_safe": 0.7057702402584293,
|
4794 |
+
"eval_iou_unlabeled": NaN,
|
4795 |
+
"eval_iou_unsafe": 0.9893636761526805,
|
4796 |
+
"eval_loss": 0.049034394323825836,
|
4797 |
+
"eval_mean_accuracy": 0.9181811381135276,
|
4798 |
+
"eval_mean_iou": 0.8475669582055549,
|
4799 |
+
"eval_overall_accuracy": 0.9896282936210063,
|
4800 |
+
"eval_runtime": 9.7248,
|
4801 |
+
"eval_samples_per_second": 6.89,
|
4802 |
+
"eval_steps_per_second": 0.514,
|
4803 |
+
"step": 700
|
4804 |
+
},
|
4805 |
+
{
|
4806 |
+
"epoch": 70.1,
|
4807 |
+
"learning_rate": 7.01e-05,
|
4808 |
+
"loss": 0.023,
|
4809 |
+
"step": 701
|
4810 |
+
},
|
4811 |
+
{
|
4812 |
+
"epoch": 70.2,
|
4813 |
+
"learning_rate": 7.02e-05,
|
4814 |
+
"loss": 0.014,
|
4815 |
+
"step": 702
|
4816 |
+
},
|
4817 |
+
{
|
4818 |
+
"epoch": 70.3,
|
4819 |
+
"learning_rate": 7.03e-05,
|
4820 |
+
"loss": 0.0134,
|
4821 |
+
"step": 703
|
4822 |
+
},
|
4823 |
+
{
|
4824 |
+
"epoch": 70.4,
|
4825 |
+
"learning_rate": 7.04e-05,
|
4826 |
+
"loss": 0.0188,
|
4827 |
+
"step": 704
|
4828 |
+
},
|
4829 |
+
{
|
4830 |
+
"epoch": 70.5,
|
4831 |
+
"learning_rate": 7.05e-05,
|
4832 |
+
"loss": 0.0215,
|
4833 |
+
"step": 705
|
4834 |
+
},
|
4835 |
+
{
|
4836 |
+
"epoch": 70.6,
|
4837 |
+
"learning_rate": 7.06e-05,
|
4838 |
+
"loss": 0.0178,
|
4839 |
+
"step": 706
|
4840 |
+
},
|
4841 |
+
{
|
4842 |
+
"epoch": 70.7,
|
4843 |
+
"learning_rate": 7.07e-05,
|
4844 |
+
"loss": 0.014,
|
4845 |
+
"step": 707
|
4846 |
+
},
|
4847 |
+
{
|
4848 |
+
"epoch": 70.8,
|
4849 |
+
"learning_rate": 7.08e-05,
|
4850 |
+
"loss": 0.015,
|
4851 |
+
"step": 708
|
4852 |
+
},
|
4853 |
+
{
|
4854 |
+
"epoch": 70.9,
|
4855 |
+
"learning_rate": 7.09e-05,
|
4856 |
+
"loss": 0.016,
|
4857 |
+
"step": 709
|
4858 |
+
},
|
4859 |
+
{
|
4860 |
+
"epoch": 71.0,
|
4861 |
+
"learning_rate": 7.1e-05,
|
4862 |
+
"loss": 0.0149,
|
4863 |
+
"step": 710
|
4864 |
+
},
|
4865 |
+
{
|
4866 |
+
"epoch": 71.1,
|
4867 |
+
"learning_rate": 7.11e-05,
|
4868 |
+
"loss": 0.0155,
|
4869 |
+
"step": 711
|
4870 |
+
},
|
4871 |
+
{
|
4872 |
+
"epoch": 71.2,
|
4873 |
+
"learning_rate": 7.12e-05,
|
4874 |
+
"loss": 0.0194,
|
4875 |
+
"step": 712
|
4876 |
+
},
|
4877 |
+
{
|
4878 |
+
"epoch": 71.3,
|
4879 |
+
"learning_rate": 7.13e-05,
|
4880 |
+
"loss": 0.016,
|
4881 |
+
"step": 713
|
4882 |
+
},
|
4883 |
+
{
|
4884 |
+
"epoch": 71.4,
|
4885 |
+
"learning_rate": 7.14e-05,
|
4886 |
+
"loss": 0.0154,
|
4887 |
+
"step": 714
|
4888 |
+
},
|
4889 |
+
{
|
4890 |
+
"epoch": 71.5,
|
4891 |
+
"learning_rate": 7.15e-05,
|
4892 |
+
"loss": 0.016,
|
4893 |
+
"step": 715
|
4894 |
+
},
|
4895 |
+
{
|
4896 |
+
"epoch": 71.6,
|
4897 |
+
"learning_rate": 7.16e-05,
|
4898 |
+
"loss": 0.0125,
|
4899 |
+
"step": 716
|
4900 |
+
},
|
4901 |
+
{
|
4902 |
+
"epoch": 71.7,
|
4903 |
+
"learning_rate": 7.17e-05,
|
4904 |
+
"loss": 0.0154,
|
4905 |
+
"step": 717
|
4906 |
+
},
|
4907 |
+
{
|
4908 |
+
"epoch": 71.8,
|
4909 |
+
"learning_rate": 7.18e-05,
|
4910 |
+
"loss": 0.0205,
|
4911 |
+
"step": 718
|
4912 |
+
},
|
4913 |
+
{
|
4914 |
+
"epoch": 71.9,
|
4915 |
+
"learning_rate": 7.19e-05,
|
4916 |
+
"loss": 0.0255,
|
4917 |
+
"step": 719
|
4918 |
+
},
|
4919 |
+
{
|
4920 |
+
"epoch": 72.0,
|
4921 |
+
"learning_rate": 7.2e-05,
|
4922 |
+
"loss": 0.0142,
|
4923 |
+
"step": 720
|
4924 |
+
},
|
4925 |
+
{
|
4926 |
+
"epoch": 72.0,
|
4927 |
+
"eval_accuracy_safe": 0.7568108835355299,
|
4928 |
+
"eval_accuracy_unlabeled": NaN,
|
4929 |
+
"eval_accuracy_unsafe": 0.9974447407738386,
|
4930 |
+
"eval_iou_safe": 0.6981965160858957,
|
4931 |
+
"eval_iou_unlabeled": NaN,
|
4932 |
+
"eval_iou_unsafe": 0.9901158423210092,
|
4933 |
+
"eval_loss": 0.03573448210954666,
|
4934 |
+
"eval_mean_accuracy": 0.8771278121546843,
|
4935 |
+
"eval_mean_iou": 0.8441561792034524,
|
4936 |
+
"eval_overall_accuracy": 0.9903368024683711,
|
4937 |
+
"eval_runtime": 9.7254,
|
4938 |
+
"eval_samples_per_second": 6.889,
|
4939 |
+
"eval_steps_per_second": 0.514,
|
4940 |
+
"step": 720
|
4941 |
}
|
4942 |
],
|
4943 |
"max_steps": 20000,
|
4944 |
"num_train_epochs": 2000,
|
4945 |
+
"total_flos": 4.4260231503371305e+18,
|
4946 |
"trial_name": null,
|
4947 |
"trial_params": null
|
4948 |
}
|
{checkpoint-320 β checkpoint-720}/training_args.bin
RENAMED
File without changes
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 338796489
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:935226a50b81cbca3c7e35eabfb4c5b6319732154906e7ab0a6958d9485775d6
|
3 |
size 338796489
|
runs/Feb08_09-49-29_robovision.csres.utexas.edu/events.out.tfevents.1707407376.robovision.csres.utexas.edu.889113.0
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 sha256:86e49011af73708fe96cb57c7134ae0bc0eeb182daca0ed6551bfd4c4bbfcbae
|
3 |
+
size 145501
|