Training in progress, step 240
Browse files- {checkpoint-40 → checkpoint-240}/config.json +0 -0
- {checkpoint-40 → checkpoint-240}/optimizer.pt +1 -1
- {checkpoint-40 → checkpoint-240}/pytorch_model.bin +1 -1
- {checkpoint-40 → checkpoint-240}/rng_state.pth +1 -1
- {checkpoint-40 → checkpoint-240}/scheduler.pt +1 -1
- checkpoint-240/trainer_state.json +1864 -0
- {checkpoint-40 → checkpoint-240}/training_args.bin +0 -0
- checkpoint-40/trainer_state.json +0 -324
- pytorch_model.bin +1 -1
- runs/Feb07_22-15-06_robovision.csres.utexas.edu/events.out.tfevents.1707365713.robovision.csres.utexas.edu.742362.0 +2 -2
{checkpoint-40 → checkpoint-240}/config.json
RENAMED
|
File without changes
|
{checkpoint-40 → checkpoint-240}/optimizer.pt
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 677455103
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8698062bda2506162a3795d141c07fe00f0503613fdf261525bdac5bf13c4fd9
|
| 3 |
size 677455103
|
{checkpoint-40 → checkpoint-240}/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 sha256:7d70d70feb376344127d411700d8fe4d7337210b8db09379aaa4aa2f604b2489
|
| 3 |
size 338796489
|
{checkpoint-40 → checkpoint-240}/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:ca02f9453f98c9c83c6366597ddba44d6dd1f03bee8488bed57fede8d1f7db57
|
| 3 |
size 14575
|
{checkpoint-40 → checkpoint-240}/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 sha256:75dbf47f30d37763c2b2c8f85f4e9baeba3a00f8615e97ea74ef283a459d118c
|
| 3 |
size 627
|
checkpoint-240/trainer_state.json
ADDED
|
@@ -0,0 +1,1864 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.5627052187919617,
|
| 3 |
+
"best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/safety-utcustom-train-SF-RGB-b5/checkpoint-240",
|
| 4 |
+
"epoch": 21.818181818181817,
|
| 5 |
+
"global_step": 240,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.09,
|
| 12 |
+
"learning_rate": 1.764705882352941e-07,
|
| 13 |
+
"loss": 1.2293,
|
| 14 |
+
"step": 1
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.18,
|
| 18 |
+
"learning_rate": 3.529411764705882e-07,
|
| 19 |
+
"loss": 1.2349,
|
| 20 |
+
"step": 2
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.27,
|
| 24 |
+
"learning_rate": 5.294117647058824e-07,
|
| 25 |
+
"loss": 1.2357,
|
| 26 |
+
"step": 3
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.36,
|
| 30 |
+
"learning_rate": 7.058823529411765e-07,
|
| 31 |
+
"loss": 1.2242,
|
| 32 |
+
"step": 4
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.45,
|
| 36 |
+
"learning_rate": 8.823529411764706e-07,
|
| 37 |
+
"loss": 1.2247,
|
| 38 |
+
"step": 5
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.55,
|
| 42 |
+
"learning_rate": 1.0588235294117648e-06,
|
| 43 |
+
"loss": 1.227,
|
| 44 |
+
"step": 6
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.64,
|
| 48 |
+
"learning_rate": 1.2352941176470588e-06,
|
| 49 |
+
"loss": 1.2292,
|
| 50 |
+
"step": 7
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 0.73,
|
| 54 |
+
"learning_rate": 1.411764705882353e-06,
|
| 55 |
+
"loss": 1.2257,
|
| 56 |
+
"step": 8
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 0.82,
|
| 60 |
+
"learning_rate": 1.5882352941176472e-06,
|
| 61 |
+
"loss": 1.2173,
|
| 62 |
+
"step": 9
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 0.91,
|
| 66 |
+
"learning_rate": 1.7647058823529412e-06,
|
| 67 |
+
"loss": 1.2239,
|
| 68 |
+
"step": 10
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 0.91,
|
| 72 |
+
"eval_accuracy_safe": 0.39920432072351303,
|
| 73 |
+
"eval_accuracy_unlabeled": NaN,
|
| 74 |
+
"eval_accuracy_unsafe": 0.29510386893492613,
|
| 75 |
+
"eval_iou_safe": 0.031418797454432365,
|
| 76 |
+
"eval_iou_unlabeled": 0.0,
|
| 77 |
+
"eval_iou_unsafe": 0.29392505413655395,
|
| 78 |
+
"eval_loss": 1.1102662086486816,
|
| 79 |
+
"eval_mean_accuracy": 0.34715409482921955,
|
| 80 |
+
"eval_mean_iou": 0.10844795053032878,
|
| 81 |
+
"eval_overall_accuracy": 0.2981788293639226,
|
| 82 |
+
"eval_runtime": 9.3061,
|
| 83 |
+
"eval_samples_per_second": 7.2,
|
| 84 |
+
"eval_steps_per_second": 0.537,
|
| 85 |
+
"step": 10
|
| 86 |
+
},
|
| 87 |
+
{
|
| 88 |
+
"epoch": 1.0,
|
| 89 |
+
"learning_rate": 1.9411764705882353e-06,
|
| 90 |
+
"loss": 1.221,
|
| 91 |
+
"step": 11
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"epoch": 1.09,
|
| 95 |
+
"learning_rate": 2.1176470588235296e-06,
|
| 96 |
+
"loss": 1.2149,
|
| 97 |
+
"step": 12
|
| 98 |
+
},
|
| 99 |
+
{
|
| 100 |
+
"epoch": 1.18,
|
| 101 |
+
"learning_rate": 2.2941176470588234e-06,
|
| 102 |
+
"loss": 1.2197,
|
| 103 |
+
"step": 13
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"epoch": 1.27,
|
| 107 |
+
"learning_rate": 2.4705882352941177e-06,
|
| 108 |
+
"loss": 1.2064,
|
| 109 |
+
"step": 14
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"epoch": 1.36,
|
| 113 |
+
"learning_rate": 2.647058823529412e-06,
|
| 114 |
+
"loss": 1.2042,
|
| 115 |
+
"step": 15
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 1.45,
|
| 119 |
+
"learning_rate": 2.823529411764706e-06,
|
| 120 |
+
"loss": 1.2046,
|
| 121 |
+
"step": 16
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 1.55,
|
| 125 |
+
"learning_rate": 3e-06,
|
| 126 |
+
"loss": 1.2054,
|
| 127 |
+
"step": 17
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"epoch": 1.64,
|
| 131 |
+
"learning_rate": 2.990415335463259e-06,
|
| 132 |
+
"loss": 1.2002,
|
| 133 |
+
"step": 18
|
| 134 |
+
},
|
| 135 |
+
{
|
| 136 |
+
"epoch": 1.73,
|
| 137 |
+
"learning_rate": 2.9808306709265177e-06,
|
| 138 |
+
"loss": 1.1982,
|
| 139 |
+
"step": 19
|
| 140 |
+
},
|
| 141 |
+
{
|
| 142 |
+
"epoch": 1.82,
|
| 143 |
+
"learning_rate": 2.9712460063897764e-06,
|
| 144 |
+
"loss": 1.1948,
|
| 145 |
+
"step": 20
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"epoch": 1.82,
|
| 149 |
+
"eval_accuracy_safe": 0.5218599774094934,
|
| 150 |
+
"eval_accuracy_unlabeled": NaN,
|
| 151 |
+
"eval_accuracy_unsafe": 0.3705393407485172,
|
| 152 |
+
"eval_iou_safe": 0.0439841259320199,
|
| 153 |
+
"eval_iou_unlabeled": 0.0,
|
| 154 |
+
"eval_iou_unsafe": 0.36893471456827454,
|
| 155 |
+
"eval_loss": 1.0963102579116821,
|
| 156 |
+
"eval_mean_accuracy": 0.4461996590790053,
|
| 157 |
+
"eval_mean_iou": 0.13763961350009815,
|
| 158 |
+
"eval_overall_accuracy": 0.37500910972481344,
|
| 159 |
+
"eval_runtime": 8.3942,
|
| 160 |
+
"eval_samples_per_second": 7.982,
|
| 161 |
+
"eval_steps_per_second": 0.596,
|
| 162 |
+
"step": 20
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"epoch": 1.91,
|
| 166 |
+
"learning_rate": 2.9616613418530352e-06,
|
| 167 |
+
"loss": 1.1776,
|
| 168 |
+
"step": 21
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"epoch": 2.0,
|
| 172 |
+
"learning_rate": 2.952076677316294e-06,
|
| 173 |
+
"loss": 1.1936,
|
| 174 |
+
"step": 22
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 2.09,
|
| 178 |
+
"learning_rate": 2.942492012779553e-06,
|
| 179 |
+
"loss": 1.1664,
|
| 180 |
+
"step": 23
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"epoch": 2.18,
|
| 184 |
+
"learning_rate": 2.9329073482428116e-06,
|
| 185 |
+
"loss": 1.1809,
|
| 186 |
+
"step": 24
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 2.27,
|
| 190 |
+
"learning_rate": 2.9233226837060704e-06,
|
| 191 |
+
"loss": 1.1731,
|
| 192 |
+
"step": 25
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 2.36,
|
| 196 |
+
"learning_rate": 2.913738019169329e-06,
|
| 197 |
+
"loss": 1.1794,
|
| 198 |
+
"step": 26
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 2.45,
|
| 202 |
+
"learning_rate": 2.904153354632588e-06,
|
| 203 |
+
"loss": 1.1684,
|
| 204 |
+
"step": 27
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"epoch": 2.55,
|
| 208 |
+
"learning_rate": 2.8945686900958468e-06,
|
| 209 |
+
"loss": 1.1594,
|
| 210 |
+
"step": 28
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"epoch": 2.64,
|
| 214 |
+
"learning_rate": 2.884984025559105e-06,
|
| 215 |
+
"loss": 1.146,
|
| 216 |
+
"step": 29
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 2.73,
|
| 220 |
+
"learning_rate": 2.8753993610223644e-06,
|
| 221 |
+
"loss": 1.1661,
|
| 222 |
+
"step": 30
|
| 223 |
+
},
|
| 224 |
+
{
|
| 225 |
+
"epoch": 2.73,
|
| 226 |
+
"eval_accuracy_safe": 0.5863200218966003,
|
| 227 |
+
"eval_accuracy_unlabeled": NaN,
|
| 228 |
+
"eval_accuracy_unsafe": 0.49882181393718666,
|
| 229 |
+
"eval_iou_safe": 0.06472096392925002,
|
| 230 |
+
"eval_iou_unlabeled": 0.0,
|
| 231 |
+
"eval_iou_unsafe": 0.49613792944888824,
|
| 232 |
+
"eval_loss": 1.0516184568405151,
|
| 233 |
+
"eval_mean_accuracy": 0.5425709179168935,
|
| 234 |
+
"eval_mean_iou": 0.1869529644593794,
|
| 235 |
+
"eval_overall_accuracy": 0.5014063707038537,
|
| 236 |
+
"eval_runtime": 9.3615,
|
| 237 |
+
"eval_samples_per_second": 7.157,
|
| 238 |
+
"eval_steps_per_second": 0.534,
|
| 239 |
+
"step": 30
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 2.82,
|
| 243 |
+
"learning_rate": 2.865814696485623e-06,
|
| 244 |
+
"loss": 1.153,
|
| 245 |
+
"step": 31
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"epoch": 2.91,
|
| 249 |
+
"learning_rate": 2.856230031948882e-06,
|
| 250 |
+
"loss": 1.149,
|
| 251 |
+
"step": 32
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 3.0,
|
| 255 |
+
"learning_rate": 2.8466453674121407e-06,
|
| 256 |
+
"loss": 1.164,
|
| 257 |
+
"step": 33
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 3.09,
|
| 261 |
+
"learning_rate": 2.8370607028753995e-06,
|
| 262 |
+
"loss": 1.1479,
|
| 263 |
+
"step": 34
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 3.18,
|
| 267 |
+
"learning_rate": 2.8274760383386583e-06,
|
| 268 |
+
"loss": 1.1428,
|
| 269 |
+
"step": 35
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 3.27,
|
| 273 |
+
"learning_rate": 2.817891373801917e-06,
|
| 274 |
+
"loss": 1.1398,
|
| 275 |
+
"step": 36
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 3.36,
|
| 279 |
+
"learning_rate": 2.8083067092651755e-06,
|
| 280 |
+
"loss": 1.1415,
|
| 281 |
+
"step": 37
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 3.45,
|
| 285 |
+
"learning_rate": 2.7987220447284347e-06,
|
| 286 |
+
"loss": 1.1146,
|
| 287 |
+
"step": 38
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"epoch": 3.55,
|
| 291 |
+
"learning_rate": 2.7891373801916935e-06,
|
| 292 |
+
"loss": 1.1234,
|
| 293 |
+
"step": 39
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"epoch": 3.64,
|
| 297 |
+
"learning_rate": 2.7795527156549523e-06,
|
| 298 |
+
"loss": 1.1112,
|
| 299 |
+
"step": 40
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"epoch": 3.64,
|
| 303 |
+
"eval_accuracy_safe": 0.5458517893146133,
|
| 304 |
+
"eval_accuracy_unlabeled": NaN,
|
| 305 |
+
"eval_accuracy_unsafe": 0.5794390867479824,
|
| 306 |
+
"eval_iou_safe": 0.0899865428032596,
|
| 307 |
+
"eval_iou_unlabeled": 0.0,
|
| 308 |
+
"eval_iou_unsafe": 0.5753581085678546,
|
| 309 |
+
"eval_loss": 1.0047743320465088,
|
| 310 |
+
"eval_mean_accuracy": 0.5626454380312979,
|
| 311 |
+
"eval_mean_iou": 0.22178155045703807,
|
| 312 |
+
"eval_overall_accuracy": 0.5784469718363747,
|
| 313 |
+
"eval_runtime": 9.38,
|
| 314 |
+
"eval_samples_per_second": 7.143,
|
| 315 |
+
"eval_steps_per_second": 0.533,
|
| 316 |
+
"step": 40
|
| 317 |
+
},
|
| 318 |
+
{
|
| 319 |
+
"epoch": 3.73,
|
| 320 |
+
"learning_rate": 2.769968051118211e-06,
|
| 321 |
+
"loss": 1.1212,
|
| 322 |
+
"step": 41
|
| 323 |
+
},
|
| 324 |
+
{
|
| 325 |
+
"epoch": 3.82,
|
| 326 |
+
"learning_rate": 2.7603833865814694e-06,
|
| 327 |
+
"loss": 1.1117,
|
| 328 |
+
"step": 42
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"epoch": 3.91,
|
| 332 |
+
"learning_rate": 2.7507987220447286e-06,
|
| 333 |
+
"loss": 1.1051,
|
| 334 |
+
"step": 43
|
| 335 |
+
},
|
| 336 |
+
{
|
| 337 |
+
"epoch": 4.0,
|
| 338 |
+
"learning_rate": 2.7412140575079874e-06,
|
| 339 |
+
"loss": 1.1382,
|
| 340 |
+
"step": 44
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"epoch": 4.09,
|
| 344 |
+
"learning_rate": 2.731629392971246e-06,
|
| 345 |
+
"loss": 1.1075,
|
| 346 |
+
"step": 45
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 4.18,
|
| 350 |
+
"learning_rate": 2.722044728434505e-06,
|
| 351 |
+
"loss": 1.1096,
|
| 352 |
+
"step": 46
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 4.27,
|
| 356 |
+
"learning_rate": 2.7124600638977634e-06,
|
| 357 |
+
"loss": 1.0974,
|
| 358 |
+
"step": 47
|
| 359 |
+
},
|
| 360 |
+
{
|
| 361 |
+
"epoch": 4.36,
|
| 362 |
+
"learning_rate": 2.7028753993610226e-06,
|
| 363 |
+
"loss": 1.0851,
|
| 364 |
+
"step": 48
|
| 365 |
+
},
|
| 366 |
+
{
|
| 367 |
+
"epoch": 4.45,
|
| 368 |
+
"learning_rate": 2.6932907348242814e-06,
|
| 369 |
+
"loss": 1.0851,
|
| 370 |
+
"step": 49
|
| 371 |
+
},
|
| 372 |
+
{
|
| 373 |
+
"epoch": 4.55,
|
| 374 |
+
"learning_rate": 2.6837060702875398e-06,
|
| 375 |
+
"loss": 1.0907,
|
| 376 |
+
"step": 50
|
| 377 |
+
},
|
| 378 |
+
{
|
| 379 |
+
"epoch": 4.55,
|
| 380 |
+
"eval_accuracy_safe": 0.5993018531154467,
|
| 381 |
+
"eval_accuracy_unlabeled": NaN,
|
| 382 |
+
"eval_accuracy_unsafe": 0.6366664738420048,
|
| 383 |
+
"eval_iou_safe": 0.10939424133801141,
|
| 384 |
+
"eval_iou_unlabeled": 0.0,
|
| 385 |
+
"eval_iou_unsafe": 0.6320960572783577,
|
| 386 |
+
"eval_loss": 0.9689871668815613,
|
| 387 |
+
"eval_mean_accuracy": 0.6179841634787258,
|
| 388 |
+
"eval_mean_iou": 0.24716343287212306,
|
| 389 |
+
"eval_overall_accuracy": 0.6355627828569554,
|
| 390 |
+
"eval_runtime": 9.8119,
|
| 391 |
+
"eval_samples_per_second": 6.828,
|
| 392 |
+
"eval_steps_per_second": 0.51,
|
| 393 |
+
"step": 50
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"epoch": 4.64,
|
| 397 |
+
"learning_rate": 2.674121405750799e-06,
|
| 398 |
+
"loss": 1.0789,
|
| 399 |
+
"step": 51
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"epoch": 4.73,
|
| 403 |
+
"learning_rate": 2.6645367412140573e-06,
|
| 404 |
+
"loss": 1.0566,
|
| 405 |
+
"step": 52
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 4.82,
|
| 409 |
+
"learning_rate": 2.654952076677316e-06,
|
| 410 |
+
"loss": 1.0718,
|
| 411 |
+
"step": 53
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 4.91,
|
| 415 |
+
"learning_rate": 2.6453674121405753e-06,
|
| 416 |
+
"loss": 1.0808,
|
| 417 |
+
"step": 54
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 5.0,
|
| 421 |
+
"learning_rate": 2.6357827476038337e-06,
|
| 422 |
+
"loss": 1.0808,
|
| 423 |
+
"step": 55
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 5.09,
|
| 427 |
+
"learning_rate": 2.626198083067093e-06,
|
| 428 |
+
"loss": 1.0625,
|
| 429 |
+
"step": 56
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 5.18,
|
| 433 |
+
"learning_rate": 2.6166134185303517e-06,
|
| 434 |
+
"loss": 1.0508,
|
| 435 |
+
"step": 57
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 5.27,
|
| 439 |
+
"learning_rate": 2.60702875399361e-06,
|
| 440 |
+
"loss": 1.0521,
|
| 441 |
+
"step": 58
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 5.36,
|
| 445 |
+
"learning_rate": 2.5974440894568693e-06,
|
| 446 |
+
"loss": 1.052,
|
| 447 |
+
"step": 59
|
| 448 |
+
},
|
| 449 |
+
{
|
| 450 |
+
"epoch": 5.45,
|
| 451 |
+
"learning_rate": 2.5878594249201277e-06,
|
| 452 |
+
"loss": 1.047,
|
| 453 |
+
"step": 60
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 5.45,
|
| 457 |
+
"eval_accuracy_safe": 0.6691570194409427,
|
| 458 |
+
"eval_accuracy_unlabeled": NaN,
|
| 459 |
+
"eval_accuracy_unsafe": 0.669918812994849,
|
| 460 |
+
"eval_iou_safe": 0.11592410370525706,
|
| 461 |
+
"eval_iou_unlabeled": 0.0,
|
| 462 |
+
"eval_iou_unsafe": 0.6655783206367077,
|
| 463 |
+
"eval_loss": 0.9437160491943359,
|
| 464 |
+
"eval_mean_accuracy": 0.6695379162178958,
|
| 465 |
+
"eval_mean_iou": 0.2605008081139883,
|
| 466 |
+
"eval_overall_accuracy": 0.6698963108347423,
|
| 467 |
+
"eval_runtime": 9.3506,
|
| 468 |
+
"eval_samples_per_second": 7.165,
|
| 469 |
+
"eval_steps_per_second": 0.535,
|
| 470 |
+
"step": 60
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 5.55,
|
| 474 |
+
"learning_rate": 2.5782747603833865e-06,
|
| 475 |
+
"loss": 1.0456,
|
| 476 |
+
"step": 61
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 5.64,
|
| 480 |
+
"learning_rate": 2.5686900958466457e-06,
|
| 481 |
+
"loss": 1.0296,
|
| 482 |
+
"step": 62
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 5.73,
|
| 486 |
+
"learning_rate": 2.559105431309904e-06,
|
| 487 |
+
"loss": 1.0334,
|
| 488 |
+
"step": 63
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 5.82,
|
| 492 |
+
"learning_rate": 2.5495207667731633e-06,
|
| 493 |
+
"loss": 1.0525,
|
| 494 |
+
"step": 64
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 5.91,
|
| 498 |
+
"learning_rate": 2.5399361022364216e-06,
|
| 499 |
+
"loss": 1.0397,
|
| 500 |
+
"step": 65
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 6.0,
|
| 504 |
+
"learning_rate": 2.5303514376996804e-06,
|
| 505 |
+
"loss": 1.0575,
|
| 506 |
+
"step": 66
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 6.09,
|
| 510 |
+
"learning_rate": 2.5207667731629396e-06,
|
| 511 |
+
"loss": 1.0245,
|
| 512 |
+
"step": 67
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
"epoch": 6.18,
|
| 516 |
+
"learning_rate": 2.511182108626198e-06,
|
| 517 |
+
"loss": 1.0284,
|
| 518 |
+
"step": 68
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 6.27,
|
| 522 |
+
"learning_rate": 2.501597444089457e-06,
|
| 523 |
+
"loss": 1.0127,
|
| 524 |
+
"step": 69
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 6.36,
|
| 528 |
+
"learning_rate": 2.4920127795527156e-06,
|
| 529 |
+
"loss": 1.0112,
|
| 530 |
+
"step": 70
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"epoch": 6.36,
|
| 534 |
+
"eval_accuracy_safe": 0.6673046750012529,
|
| 535 |
+
"eval_accuracy_unlabeled": NaN,
|
| 536 |
+
"eval_accuracy_unsafe": 0.718865515124044,
|
| 537 |
+
"eval_iou_safe": 0.13494764234639625,
|
| 538 |
+
"eval_iou_unlabeled": 0.0,
|
| 539 |
+
"eval_iou_unsafe": 0.7136723036690169,
|
| 540 |
+
"eval_loss": 0.9084014892578125,
|
| 541 |
+
"eval_mean_accuracy": 0.6930850950626484,
|
| 542 |
+
"eval_mean_iou": 0.28287331533847104,
|
| 543 |
+
"eval_overall_accuracy": 0.7173424905805446,
|
| 544 |
+
"eval_runtime": 9.0845,
|
| 545 |
+
"eval_samples_per_second": 7.375,
|
| 546 |
+
"eval_steps_per_second": 0.55,
|
| 547 |
+
"step": 70
|
| 548 |
+
},
|
| 549 |
+
{
|
| 550 |
+
"epoch": 6.45,
|
| 551 |
+
"learning_rate": 2.4824281150159744e-06,
|
| 552 |
+
"loss": 1.0107,
|
| 553 |
+
"step": 71
|
| 554 |
+
},
|
| 555 |
+
{
|
| 556 |
+
"epoch": 6.55,
|
| 557 |
+
"learning_rate": 2.4728434504792336e-06,
|
| 558 |
+
"loss": 1.0122,
|
| 559 |
+
"step": 72
|
| 560 |
+
},
|
| 561 |
+
{
|
| 562 |
+
"epoch": 6.64,
|
| 563 |
+
"learning_rate": 2.463258785942492e-06,
|
| 564 |
+
"loss": 1.0087,
|
| 565 |
+
"step": 73
|
| 566 |
+
},
|
| 567 |
+
{
|
| 568 |
+
"epoch": 6.73,
|
| 569 |
+
"learning_rate": 2.4536741214057507e-06,
|
| 570 |
+
"loss": 0.991,
|
| 571 |
+
"step": 74
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 6.82,
|
| 575 |
+
"learning_rate": 2.44408945686901e-06,
|
| 576 |
+
"loss": 1.0042,
|
| 577 |
+
"step": 75
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 6.91,
|
| 581 |
+
"learning_rate": 2.4345047923322683e-06,
|
| 582 |
+
"loss": 0.9788,
|
| 583 |
+
"step": 76
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 7.0,
|
| 587 |
+
"learning_rate": 2.424920127795527e-06,
|
| 588 |
+
"loss": 1.0371,
|
| 589 |
+
"step": 77
|
| 590 |
+
},
|
| 591 |
+
{
|
| 592 |
+
"epoch": 7.09,
|
| 593 |
+
"learning_rate": 2.415335463258786e-06,
|
| 594 |
+
"loss": 0.9884,
|
| 595 |
+
"step": 78
|
| 596 |
+
},
|
| 597 |
+
{
|
| 598 |
+
"epoch": 7.18,
|
| 599 |
+
"learning_rate": 2.4057507987220447e-06,
|
| 600 |
+
"loss": 0.9759,
|
| 601 |
+
"step": 79
|
| 602 |
+
},
|
| 603 |
+
{
|
| 604 |
+
"epoch": 7.27,
|
| 605 |
+
"learning_rate": 2.396166134185304e-06,
|
| 606 |
+
"loss": 0.9925,
|
| 607 |
+
"step": 80
|
| 608 |
+
},
|
| 609 |
+
{
|
| 610 |
+
"epoch": 7.27,
|
| 611 |
+
"eval_accuracy_safe": 0.6842282797676185,
|
| 612 |
+
"eval_accuracy_unlabeled": NaN,
|
| 613 |
+
"eval_accuracy_unsafe": 0.7664939888573942,
|
| 614 |
+
"eval_iou_safe": 0.14521835177647324,
|
| 615 |
+
"eval_iou_unlabeled": 0.0,
|
| 616 |
+
"eval_iou_unsafe": 0.7605469001045981,
|
| 617 |
+
"eval_loss": 0.8647122979164124,
|
| 618 |
+
"eval_mean_accuracy": 0.7253611343125064,
|
| 619 |
+
"eval_mean_iou": 0.3019217506270238,
|
| 620 |
+
"eval_overall_accuracy": 0.7640639917174382,
|
| 621 |
+
"eval_runtime": 9.9787,
|
| 622 |
+
"eval_samples_per_second": 6.714,
|
| 623 |
+
"eval_steps_per_second": 0.501,
|
| 624 |
+
"step": 80
|
| 625 |
+
},
|
| 626 |
+
{
|
| 627 |
+
"epoch": 7.36,
|
| 628 |
+
"learning_rate": 2.3865814696485623e-06,
|
| 629 |
+
"loss": 0.9784,
|
| 630 |
+
"step": 81
|
| 631 |
+
},
|
| 632 |
+
{
|
| 633 |
+
"epoch": 7.45,
|
| 634 |
+
"learning_rate": 2.376996805111821e-06,
|
| 635 |
+
"loss": 0.9806,
|
| 636 |
+
"step": 82
|
| 637 |
+
},
|
| 638 |
+
{
|
| 639 |
+
"epoch": 7.55,
|
| 640 |
+
"learning_rate": 2.36741214057508e-06,
|
| 641 |
+
"loss": 0.973,
|
| 642 |
+
"step": 83
|
| 643 |
+
},
|
| 644 |
+
{
|
| 645 |
+
"epoch": 7.64,
|
| 646 |
+
"learning_rate": 2.3578274760383387e-06,
|
| 647 |
+
"loss": 0.9551,
|
| 648 |
+
"step": 84
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 7.73,
|
| 652 |
+
"learning_rate": 2.3482428115015974e-06,
|
| 653 |
+
"loss": 0.9484,
|
| 654 |
+
"step": 85
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 7.82,
|
| 658 |
+
"learning_rate": 2.3386581469648562e-06,
|
| 659 |
+
"loss": 0.939,
|
| 660 |
+
"step": 86
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 7.91,
|
| 664 |
+
"learning_rate": 2.329073482428115e-06,
|
| 665 |
+
"loss": 0.9533,
|
| 666 |
+
"step": 87
|
| 667 |
+
},
|
| 668 |
+
{
|
| 669 |
+
"epoch": 8.0,
|
| 670 |
+
"learning_rate": 2.319488817891374e-06,
|
| 671 |
+
"loss": 0.9533,
|
| 672 |
+
"step": 88
|
| 673 |
+
},
|
| 674 |
+
{
|
| 675 |
+
"epoch": 8.09,
|
| 676 |
+
"learning_rate": 2.3099041533546326e-06,
|
| 677 |
+
"loss": 0.9469,
|
| 678 |
+
"step": 89
|
| 679 |
+
},
|
| 680 |
+
{
|
| 681 |
+
"epoch": 8.18,
|
| 682 |
+
"learning_rate": 2.3003194888178914e-06,
|
| 683 |
+
"loss": 0.9395,
|
| 684 |
+
"step": 90
|
| 685 |
+
},
|
| 686 |
+
{
|
| 687 |
+
"epoch": 8.18,
|
| 688 |
+
"eval_accuracy_safe": 0.6817822598987667,
|
| 689 |
+
"eval_accuracy_unlabeled": NaN,
|
| 690 |
+
"eval_accuracy_unsafe": 0.7920860651953089,
|
| 691 |
+
"eval_iou_safe": 0.16203325137990066,
|
| 692 |
+
"eval_iou_unlabeled": 0.0,
|
| 693 |
+
"eval_iou_unsafe": 0.785611270080723,
|
| 694 |
+
"eval_loss": 0.8319001197814941,
|
| 695 |
+
"eval_mean_accuracy": 0.7369341625470378,
|
| 696 |
+
"eval_mean_iou": 0.3158815071535412,
|
| 697 |
+
"eval_overall_accuracy": 0.788827867650274,
|
| 698 |
+
"eval_runtime": 9.682,
|
| 699 |
+
"eval_samples_per_second": 6.92,
|
| 700 |
+
"eval_steps_per_second": 0.516,
|
| 701 |
+
"step": 90
|
| 702 |
+
},
|
| 703 |
+
{
|
| 704 |
+
"epoch": 8.27,
|
| 705 |
+
"learning_rate": 2.29073482428115e-06,
|
| 706 |
+
"loss": 0.9422,
|
| 707 |
+
"step": 91
|
| 708 |
+
},
|
| 709 |
+
{
|
| 710 |
+
"epoch": 8.36,
|
| 711 |
+
"learning_rate": 2.281150159744409e-06,
|
| 712 |
+
"loss": 0.9012,
|
| 713 |
+
"step": 92
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"epoch": 8.45,
|
| 717 |
+
"learning_rate": 2.2715654952076678e-06,
|
| 718 |
+
"loss": 0.937,
|
| 719 |
+
"step": 93
|
| 720 |
+
},
|
| 721 |
+
{
|
| 722 |
+
"epoch": 8.55,
|
| 723 |
+
"learning_rate": 2.2619808306709266e-06,
|
| 724 |
+
"loss": 0.9122,
|
| 725 |
+
"step": 94
|
| 726 |
+
},
|
| 727 |
+
{
|
| 728 |
+
"epoch": 8.64,
|
| 729 |
+
"learning_rate": 2.2523961661341854e-06,
|
| 730 |
+
"loss": 0.9272,
|
| 731 |
+
"step": 95
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 8.73,
|
| 735 |
+
"learning_rate": 2.242811501597444e-06,
|
| 736 |
+
"loss": 0.9122,
|
| 737 |
+
"step": 96
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 8.82,
|
| 741 |
+
"learning_rate": 2.233226837060703e-06,
|
| 742 |
+
"loss": 0.9261,
|
| 743 |
+
"step": 97
|
| 744 |
+
},
|
| 745 |
+
{
|
| 746 |
+
"epoch": 8.91,
|
| 747 |
+
"learning_rate": 2.2236421725239617e-06,
|
| 748 |
+
"loss": 0.9004,
|
| 749 |
+
"step": 98
|
| 750 |
+
},
|
| 751 |
+
{
|
| 752 |
+
"epoch": 9.0,
|
| 753 |
+
"learning_rate": 2.2140575079872205e-06,
|
| 754 |
+
"loss": 0.8981,
|
| 755 |
+
"step": 99
|
| 756 |
+
},
|
| 757 |
+
{
|
| 758 |
+
"epoch": 9.09,
|
| 759 |
+
"learning_rate": 2.2044728434504793e-06,
|
| 760 |
+
"loss": 0.8902,
|
| 761 |
+
"step": 100
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 9.09,
|
| 765 |
+
"eval_accuracy_safe": 0.6805698513112902,
|
| 766 |
+
"eval_accuracy_unlabeled": NaN,
|
| 767 |
+
"eval_accuracy_unsafe": 0.8141590718977455,
|
| 768 |
+
"eval_iou_safe": 0.1769983948474704,
|
| 769 |
+
"eval_iou_unlabeled": 0.0,
|
| 770 |
+
"eval_iou_unsafe": 0.8072069422555583,
|
| 771 |
+
"eval_loss": 0.8013909459114075,
|
| 772 |
+
"eval_mean_accuracy": 0.7473644616045179,
|
| 773 |
+
"eval_mean_iou": 0.32806844570100957,
|
| 774 |
+
"eval_overall_accuracy": 0.8102130605213678,
|
| 775 |
+
"eval_runtime": 9.6492,
|
| 776 |
+
"eval_samples_per_second": 6.944,
|
| 777 |
+
"eval_steps_per_second": 0.518,
|
| 778 |
+
"step": 100
|
| 779 |
+
},
|
| 780 |
+
{
|
| 781 |
+
"epoch": 9.18,
|
| 782 |
+
"learning_rate": 2.194888178913738e-06,
|
| 783 |
+
"loss": 0.9085,
|
| 784 |
+
"step": 101
|
| 785 |
+
},
|
| 786 |
+
{
|
| 787 |
+
"epoch": 9.27,
|
| 788 |
+
"learning_rate": 2.185303514376997e-06,
|
| 789 |
+
"loss": 0.8976,
|
| 790 |
+
"step": 102
|
| 791 |
+
},
|
| 792 |
+
{
|
| 793 |
+
"epoch": 9.36,
|
| 794 |
+
"learning_rate": 2.1757188498402557e-06,
|
| 795 |
+
"loss": 0.8909,
|
| 796 |
+
"step": 103
|
| 797 |
+
},
|
| 798 |
+
{
|
| 799 |
+
"epoch": 9.45,
|
| 800 |
+
"learning_rate": 2.1661341853035145e-06,
|
| 801 |
+
"loss": 0.8878,
|
| 802 |
+
"step": 104
|
| 803 |
+
},
|
| 804 |
+
{
|
| 805 |
+
"epoch": 9.55,
|
| 806 |
+
"learning_rate": 2.1565495207667733e-06,
|
| 807 |
+
"loss": 0.8909,
|
| 808 |
+
"step": 105
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 9.64,
|
| 812 |
+
"learning_rate": 2.146964856230032e-06,
|
| 813 |
+
"loss": 0.8529,
|
| 814 |
+
"step": 106
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 9.73,
|
| 818 |
+
"learning_rate": 2.137380191693291e-06,
|
| 819 |
+
"loss": 0.9097,
|
| 820 |
+
"step": 107
|
| 821 |
+
},
|
| 822 |
+
{
|
| 823 |
+
"epoch": 9.82,
|
| 824 |
+
"learning_rate": 2.1277955271565496e-06,
|
| 825 |
+
"loss": 0.8778,
|
| 826 |
+
"step": 108
|
| 827 |
+
},
|
| 828 |
+
{
|
| 829 |
+
"epoch": 9.91,
|
| 830 |
+
"learning_rate": 2.1182108626198084e-06,
|
| 831 |
+
"loss": 0.8819,
|
| 832 |
+
"step": 109
|
| 833 |
+
},
|
| 834 |
+
{
|
| 835 |
+
"epoch": 10.0,
|
| 836 |
+
"learning_rate": 2.1086261980830672e-06,
|
| 837 |
+
"loss": 0.9057,
|
| 838 |
+
"step": 110
|
| 839 |
+
},
|
| 840 |
+
{
|
| 841 |
+
"epoch": 10.0,
|
| 842 |
+
"eval_accuracy_safe": 0.6984244470915687,
|
| 843 |
+
"eval_accuracy_unlabeled": NaN,
|
| 844 |
+
"eval_accuracy_unsafe": 0.8178638868312451,
|
| 845 |
+
"eval_iou_safe": 0.17330681673606707,
|
| 846 |
+
"eval_iou_unlabeled": 0.0,
|
| 847 |
+
"eval_iou_unsafe": 0.8109252159162895,
|
| 848 |
+
"eval_loss": 0.7867299914360046,
|
| 849 |
+
"eval_mean_accuracy": 0.7581441669614069,
|
| 850 |
+
"eval_mean_iou": 0.3280773442174522,
|
| 851 |
+
"eval_overall_accuracy": 0.814335837293027,
|
| 852 |
+
"eval_runtime": 9.8362,
|
| 853 |
+
"eval_samples_per_second": 6.812,
|
| 854 |
+
"eval_steps_per_second": 0.508,
|
| 855 |
+
"step": 110
|
| 856 |
+
},
|
| 857 |
+
{
|
| 858 |
+
"epoch": 10.09,
|
| 859 |
+
"learning_rate": 2.099041533546326e-06,
|
| 860 |
+
"loss": 0.8509,
|
| 861 |
+
"step": 111
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"epoch": 10.18,
|
| 865 |
+
"learning_rate": 2.089456869009585e-06,
|
| 866 |
+
"loss": 0.8746,
|
| 867 |
+
"step": 112
|
| 868 |
+
},
|
| 869 |
+
{
|
| 870 |
+
"epoch": 10.27,
|
| 871 |
+
"learning_rate": 2.0798722044728436e-06,
|
| 872 |
+
"loss": 0.8532,
|
| 873 |
+
"step": 113
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 10.36,
|
| 877 |
+
"learning_rate": 2.0702875399361024e-06,
|
| 878 |
+
"loss": 0.8509,
|
| 879 |
+
"step": 114
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
"epoch": 10.45,
|
| 883 |
+
"learning_rate": 2.060702875399361e-06,
|
| 884 |
+
"loss": 0.8559,
|
| 885 |
+
"step": 115
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 10.55,
|
| 889 |
+
"learning_rate": 2.05111821086262e-06,
|
| 890 |
+
"loss": 0.8435,
|
| 891 |
+
"step": 116
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 10.64,
|
| 895 |
+
"learning_rate": 2.0415335463258783e-06,
|
| 896 |
+
"loss": 0.8465,
|
| 897 |
+
"step": 117
|
| 898 |
+
},
|
| 899 |
+
{
|
| 900 |
+
"epoch": 10.73,
|
| 901 |
+
"learning_rate": 2.0319488817891376e-06,
|
| 902 |
+
"loss": 0.8345,
|
| 903 |
+
"step": 118
|
| 904 |
+
},
|
| 905 |
+
{
|
| 906 |
+
"epoch": 10.82,
|
| 907 |
+
"learning_rate": 2.0223642172523963e-06,
|
| 908 |
+
"loss": 0.8403,
|
| 909 |
+
"step": 119
|
| 910 |
+
},
|
| 911 |
+
{
|
| 912 |
+
"epoch": 10.91,
|
| 913 |
+
"learning_rate": 2.012779552715655e-06,
|
| 914 |
+
"loss": 0.8321,
|
| 915 |
+
"step": 120
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"epoch": 10.91,
|
| 919 |
+
"eval_accuracy_safe": 0.6743748096576343,
|
| 920 |
+
"eval_accuracy_unlabeled": NaN,
|
| 921 |
+
"eval_accuracy_unsafe": 0.8493713583566551,
|
| 922 |
+
"eval_iou_safe": 0.18617264978095113,
|
| 923 |
+
"eval_iou_unlabeled": 0.0,
|
| 924 |
+
"eval_iou_unsafe": 0.8413265356526651,
|
| 925 |
+
"eval_loss": 0.7439588308334351,
|
| 926 |
+
"eval_mean_accuracy": 0.7618730840071447,
|
| 927 |
+
"eval_mean_iou": 0.3424997284778721,
|
| 928 |
+
"eval_overall_accuracy": 0.8442022409012069,
|
| 929 |
+
"eval_runtime": 9.4999,
|
| 930 |
+
"eval_samples_per_second": 7.053,
|
| 931 |
+
"eval_steps_per_second": 0.526,
|
| 932 |
+
"step": 120
|
| 933 |
+
},
|
| 934 |
+
{
|
| 935 |
+
"epoch": 11.0,
|
| 936 |
+
"learning_rate": 2.003194888178914e-06,
|
| 937 |
+
"loss": 0.8343,
|
| 938 |
+
"step": 121
|
| 939 |
+
},
|
| 940 |
+
{
|
| 941 |
+
"epoch": 11.09,
|
| 942 |
+
"learning_rate": 1.9936102236421723e-06,
|
| 943 |
+
"loss": 0.8413,
|
| 944 |
+
"step": 122
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 11.18,
|
| 948 |
+
"learning_rate": 1.9840255591054315e-06,
|
| 949 |
+
"loss": 0.8037,
|
| 950 |
+
"step": 123
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 11.27,
|
| 954 |
+
"learning_rate": 1.9744408945686903e-06,
|
| 955 |
+
"loss": 0.8284,
|
| 956 |
+
"step": 124
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 11.36,
|
| 960 |
+
"learning_rate": 1.9648562300319487e-06,
|
| 961 |
+
"loss": 0.8023,
|
| 962 |
+
"step": 125
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 11.45,
|
| 966 |
+
"learning_rate": 1.955271565495208e-06,
|
| 967 |
+
"loss": 0.8176,
|
| 968 |
+
"step": 126
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 11.55,
|
| 972 |
+
"learning_rate": 1.9456869009584667e-06,
|
| 973 |
+
"loss": 0.8078,
|
| 974 |
+
"step": 127
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 11.64,
|
| 978 |
+
"learning_rate": 1.936102236421725e-06,
|
| 979 |
+
"loss": 0.8074,
|
| 980 |
+
"step": 128
|
| 981 |
+
},
|
| 982 |
+
{
|
| 983 |
+
"epoch": 11.73,
|
| 984 |
+
"learning_rate": 1.9265175718849843e-06,
|
| 985 |
+
"loss": 0.8139,
|
| 986 |
+
"step": 129
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"epoch": 11.82,
|
| 990 |
+
"learning_rate": 1.9169329073482426e-06,
|
| 991 |
+
"loss": 0.8152,
|
| 992 |
+
"step": 130
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 11.82,
|
| 996 |
+
"eval_accuracy_safe": 0.6688004286799203,
|
| 997 |
+
"eval_accuracy_unlabeled": NaN,
|
| 998 |
+
"eval_accuracy_unsafe": 0.8589712690862681,
|
| 999 |
+
"eval_iou_safe": 0.20063653201077156,
|
| 1000 |
+
"eval_iou_unlabeled": 0.0,
|
| 1001 |
+
"eval_iou_unsafe": 0.8506617582762998,
|
| 1002 |
+
"eval_loss": 0.7270171046257019,
|
| 1003 |
+
"eval_mean_accuracy": 0.7638858488830942,
|
| 1004 |
+
"eval_mean_iou": 0.3504327634290238,
|
| 1005 |
+
"eval_overall_accuracy": 0.8533539273845616,
|
| 1006 |
+
"eval_runtime": 11.0671,
|
| 1007 |
+
"eval_samples_per_second": 6.054,
|
| 1008 |
+
"eval_steps_per_second": 0.452,
|
| 1009 |
+
"step": 130
|
| 1010 |
+
},
|
| 1011 |
+
{
|
| 1012 |
+
"epoch": 11.91,
|
| 1013 |
+
"learning_rate": 1.9073482428115018e-06,
|
| 1014 |
+
"loss": 0.8102,
|
| 1015 |
+
"step": 131
|
| 1016 |
+
},
|
| 1017 |
+
{
|
| 1018 |
+
"epoch": 12.0,
|
| 1019 |
+
"learning_rate": 1.8977635782747604e-06,
|
| 1020 |
+
"loss": 0.8192,
|
| 1021 |
+
"step": 132
|
| 1022 |
+
},
|
| 1023 |
+
{
|
| 1024 |
+
"epoch": 12.09,
|
| 1025 |
+
"learning_rate": 1.888178913738019e-06,
|
| 1026 |
+
"loss": 0.8246,
|
| 1027 |
+
"step": 133
|
| 1028 |
+
},
|
| 1029 |
+
{
|
| 1030 |
+
"epoch": 12.18,
|
| 1031 |
+
"learning_rate": 1.878594249201278e-06,
|
| 1032 |
+
"loss": 0.7864,
|
| 1033 |
+
"step": 134
|
| 1034 |
+
},
|
| 1035 |
+
{
|
| 1036 |
+
"epoch": 12.27,
|
| 1037 |
+
"learning_rate": 1.8690095846645368e-06,
|
| 1038 |
+
"loss": 0.7718,
|
| 1039 |
+
"step": 135
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 12.36,
|
| 1043 |
+
"learning_rate": 1.8594249201277954e-06,
|
| 1044 |
+
"loss": 0.8074,
|
| 1045 |
+
"step": 136
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 12.45,
|
| 1049 |
+
"learning_rate": 1.8498402555910544e-06,
|
| 1050 |
+
"loss": 0.7569,
|
| 1051 |
+
"step": 137
|
| 1052 |
+
},
|
| 1053 |
+
{
|
| 1054 |
+
"epoch": 12.55,
|
| 1055 |
+
"learning_rate": 1.8402555910543132e-06,
|
| 1056 |
+
"loss": 0.7989,
|
| 1057 |
+
"step": 138
|
| 1058 |
+
},
|
| 1059 |
+
{
|
| 1060 |
+
"epoch": 12.64,
|
| 1061 |
+
"learning_rate": 1.8306709265175722e-06,
|
| 1062 |
+
"loss": 0.7987,
|
| 1063 |
+
"step": 139
|
| 1064 |
+
},
|
| 1065 |
+
{
|
| 1066 |
+
"epoch": 12.73,
|
| 1067 |
+
"learning_rate": 1.8210862619808307e-06,
|
| 1068 |
+
"loss": 0.7929,
|
| 1069 |
+
"step": 140
|
| 1070 |
+
},
|
| 1071 |
+
{
|
| 1072 |
+
"epoch": 12.73,
|
| 1073 |
+
"eval_accuracy_safe": 0.6659920354971646,
|
| 1074 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1075 |
+
"eval_accuracy_unsafe": 0.8656634973410731,
|
| 1076 |
+
"eval_iou_safe": 0.20852726465106847,
|
| 1077 |
+
"eval_iou_unlabeled": 0.0,
|
| 1078 |
+
"eval_iou_unsafe": 0.8572303764577973,
|
| 1079 |
+
"eval_loss": 0.7045122981071472,
|
| 1080 |
+
"eval_mean_accuracy": 0.7658277664191189,
|
| 1081 |
+
"eval_mean_iou": 0.3552525470362886,
|
| 1082 |
+
"eval_overall_accuracy": 0.8597655225155959,
|
| 1083 |
+
"eval_runtime": 9.4502,
|
| 1084 |
+
"eval_samples_per_second": 7.09,
|
| 1085 |
+
"eval_steps_per_second": 0.529,
|
| 1086 |
+
"step": 140
|
| 1087 |
+
},
|
| 1088 |
+
{
|
| 1089 |
+
"epoch": 12.82,
|
| 1090 |
+
"learning_rate": 1.8115015974440893e-06,
|
| 1091 |
+
"loss": 0.7703,
|
| 1092 |
+
"step": 141
|
| 1093 |
+
},
|
| 1094 |
+
{
|
| 1095 |
+
"epoch": 12.91,
|
| 1096 |
+
"learning_rate": 1.8019169329073483e-06,
|
| 1097 |
+
"loss": 0.768,
|
| 1098 |
+
"step": 142
|
| 1099 |
+
},
|
| 1100 |
+
{
|
| 1101 |
+
"epoch": 13.0,
|
| 1102 |
+
"learning_rate": 1.7923322683706071e-06,
|
| 1103 |
+
"loss": 0.8397,
|
| 1104 |
+
"step": 143
|
| 1105 |
+
},
|
| 1106 |
+
{
|
| 1107 |
+
"epoch": 13.09,
|
| 1108 |
+
"learning_rate": 1.7827476038338657e-06,
|
| 1109 |
+
"loss": 0.775,
|
| 1110 |
+
"step": 144
|
| 1111 |
+
},
|
| 1112 |
+
{
|
| 1113 |
+
"epoch": 13.18,
|
| 1114 |
+
"learning_rate": 1.7731629392971247e-06,
|
| 1115 |
+
"loss": 0.7718,
|
| 1116 |
+
"step": 145
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 13.27,
|
| 1120 |
+
"learning_rate": 1.7635782747603833e-06,
|
| 1121 |
+
"loss": 0.7544,
|
| 1122 |
+
"step": 146
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 13.36,
|
| 1126 |
+
"learning_rate": 1.7539936102236423e-06,
|
| 1127 |
+
"loss": 0.7585,
|
| 1128 |
+
"step": 147
|
| 1129 |
+
},
|
| 1130 |
+
{
|
| 1131 |
+
"epoch": 13.45,
|
| 1132 |
+
"learning_rate": 1.744408945686901e-06,
|
| 1133 |
+
"loss": 0.742,
|
| 1134 |
+
"step": 148
|
| 1135 |
+
},
|
| 1136 |
+
{
|
| 1137 |
+
"epoch": 13.55,
|
| 1138 |
+
"learning_rate": 1.7348242811501597e-06,
|
| 1139 |
+
"loss": 0.7629,
|
| 1140 |
+
"step": 149
|
| 1141 |
+
},
|
| 1142 |
+
{
|
| 1143 |
+
"epoch": 13.64,
|
| 1144 |
+
"learning_rate": 1.7252396166134187e-06,
|
| 1145 |
+
"loss": 0.7568,
|
| 1146 |
+
"step": 150
|
| 1147 |
+
},
|
| 1148 |
+
{
|
| 1149 |
+
"epoch": 13.64,
|
| 1150 |
+
"eval_accuracy_safe": 0.657079193989229,
|
| 1151 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1152 |
+
"eval_accuracy_unsafe": 0.8838084544735693,
|
| 1153 |
+
"eval_iou_safe": 0.21846087789622765,
|
| 1154 |
+
"eval_iou_unlabeled": 0.0,
|
| 1155 |
+
"eval_iou_unsafe": 0.874847055157359,
|
| 1156 |
+
"eval_loss": 0.6744459867477417,
|
| 1157 |
+
"eval_mean_accuracy": 0.7704438242313991,
|
| 1158 |
+
"eval_mean_iou": 0.3644359776845289,
|
| 1159 |
+
"eval_overall_accuracy": 0.8771112356612931,
|
| 1160 |
+
"eval_runtime": 10.8117,
|
| 1161 |
+
"eval_samples_per_second": 6.197,
|
| 1162 |
+
"eval_steps_per_second": 0.462,
|
| 1163 |
+
"step": 150
|
| 1164 |
+
},
|
| 1165 |
+
{
|
| 1166 |
+
"epoch": 13.73,
|
| 1167 |
+
"learning_rate": 1.7156549520766772e-06,
|
| 1168 |
+
"loss": 0.7311,
|
| 1169 |
+
"step": 151
|
| 1170 |
+
},
|
| 1171 |
+
{
|
| 1172 |
+
"epoch": 13.82,
|
| 1173 |
+
"learning_rate": 1.706070287539936e-06,
|
| 1174 |
+
"loss": 0.7352,
|
| 1175 |
+
"step": 152
|
| 1176 |
+
},
|
| 1177 |
+
{
|
| 1178 |
+
"epoch": 13.91,
|
| 1179 |
+
"learning_rate": 1.696485623003195e-06,
|
| 1180 |
+
"loss": 0.7661,
|
| 1181 |
+
"step": 153
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"epoch": 14.0,
|
| 1185 |
+
"learning_rate": 1.6869009584664536e-06,
|
| 1186 |
+
"loss": 0.7335,
|
| 1187 |
+
"step": 154
|
| 1188 |
+
},
|
| 1189 |
+
{
|
| 1190 |
+
"epoch": 14.09,
|
| 1191 |
+
"learning_rate": 1.6773162939297126e-06,
|
| 1192 |
+
"loss": 0.7491,
|
| 1193 |
+
"step": 155
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 14.18,
|
| 1197 |
+
"learning_rate": 1.6677316293929714e-06,
|
| 1198 |
+
"loss": 0.715,
|
| 1199 |
+
"step": 156
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 14.27,
|
| 1203 |
+
"learning_rate": 1.65814696485623e-06,
|
| 1204 |
+
"loss": 0.7349,
|
| 1205 |
+
"step": 157
|
| 1206 |
+
},
|
| 1207 |
+
{
|
| 1208 |
+
"epoch": 14.36,
|
| 1209 |
+
"learning_rate": 1.648562300319489e-06,
|
| 1210 |
+
"loss": 0.7127,
|
| 1211 |
+
"step": 158
|
| 1212 |
+
},
|
| 1213 |
+
{
|
| 1214 |
+
"epoch": 14.45,
|
| 1215 |
+
"learning_rate": 1.6389776357827476e-06,
|
| 1216 |
+
"loss": 0.718,
|
| 1217 |
+
"step": 159
|
| 1218 |
+
},
|
| 1219 |
+
{
|
| 1220 |
+
"epoch": 14.55,
|
| 1221 |
+
"learning_rate": 1.6293929712460064e-06,
|
| 1222 |
+
"loss": 0.7085,
|
| 1223 |
+
"step": 160
|
| 1224 |
+
},
|
| 1225 |
+
{
|
| 1226 |
+
"epoch": 14.55,
|
| 1227 |
+
"eval_accuracy_safe": 0.6519423595128777,
|
| 1228 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1229 |
+
"eval_accuracy_unsafe": 0.8934174588611713,
|
| 1230 |
+
"eval_iou_safe": 0.2259934305828019,
|
| 1231 |
+
"eval_iou_unlabeled": 0.0,
|
| 1232 |
+
"eval_iou_unsafe": 0.8842020655315154,
|
| 1233 |
+
"eval_loss": 0.65559983253479,
|
| 1234 |
+
"eval_mean_accuracy": 0.7726799091870244,
|
| 1235 |
+
"eval_mean_iou": 0.3700651653714391,
|
| 1236 |
+
"eval_overall_accuracy": 0.8862846716126399,
|
| 1237 |
+
"eval_runtime": 9.325,
|
| 1238 |
+
"eval_samples_per_second": 7.185,
|
| 1239 |
+
"eval_steps_per_second": 0.536,
|
| 1240 |
+
"step": 160
|
| 1241 |
+
},
|
| 1242 |
+
{
|
| 1243 |
+
"epoch": 14.64,
|
| 1244 |
+
"learning_rate": 1.6198083067092654e-06,
|
| 1245 |
+
"loss": 0.753,
|
| 1246 |
+
"step": 161
|
| 1247 |
+
},
|
| 1248 |
+
{
|
| 1249 |
+
"epoch": 14.73,
|
| 1250 |
+
"learning_rate": 1.610223642172524e-06,
|
| 1251 |
+
"loss": 0.7376,
|
| 1252 |
+
"step": 162
|
| 1253 |
+
},
|
| 1254 |
+
{
|
| 1255 |
+
"epoch": 14.82,
|
| 1256 |
+
"learning_rate": 1.600638977635783e-06,
|
| 1257 |
+
"loss": 0.7256,
|
| 1258 |
+
"step": 163
|
| 1259 |
+
},
|
| 1260 |
+
{
|
| 1261 |
+
"epoch": 14.91,
|
| 1262 |
+
"learning_rate": 1.5910543130990415e-06,
|
| 1263 |
+
"loss": 0.7132,
|
| 1264 |
+
"step": 164
|
| 1265 |
+
},
|
| 1266 |
+
{
|
| 1267 |
+
"epoch": 15.0,
|
| 1268 |
+
"learning_rate": 1.5814696485623003e-06,
|
| 1269 |
+
"loss": 0.722,
|
| 1270 |
+
"step": 165
|
| 1271 |
+
},
|
| 1272 |
+
{
|
| 1273 |
+
"epoch": 15.09,
|
| 1274 |
+
"learning_rate": 1.5718849840255593e-06,
|
| 1275 |
+
"loss": 0.7015,
|
| 1276 |
+
"step": 166
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 15.18,
|
| 1280 |
+
"learning_rate": 1.562300319488818e-06,
|
| 1281 |
+
"loss": 0.7176,
|
| 1282 |
+
"step": 167
|
| 1283 |
+
},
|
| 1284 |
+
{
|
| 1285 |
+
"epoch": 15.27,
|
| 1286 |
+
"learning_rate": 1.5527156549520765e-06,
|
| 1287 |
+
"loss": 0.7147,
|
| 1288 |
+
"step": 168
|
| 1289 |
+
},
|
| 1290 |
+
{
|
| 1291 |
+
"epoch": 15.36,
|
| 1292 |
+
"learning_rate": 1.5431309904153355e-06,
|
| 1293 |
+
"loss": 0.7217,
|
| 1294 |
+
"step": 169
|
| 1295 |
+
},
|
| 1296 |
+
{
|
| 1297 |
+
"epoch": 15.45,
|
| 1298 |
+
"learning_rate": 1.5335463258785943e-06,
|
| 1299 |
+
"loss": 0.7147,
|
| 1300 |
+
"step": 170
|
| 1301 |
+
},
|
| 1302 |
+
{
|
| 1303 |
+
"epoch": 15.45,
|
| 1304 |
+
"eval_accuracy_safe": 0.6561000150346374,
|
| 1305 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1306 |
+
"eval_accuracy_unsafe": 0.8963761831582403,
|
| 1307 |
+
"eval_iou_safe": 0.22827906452703248,
|
| 1308 |
+
"eval_iou_unlabeled": 0.0,
|
| 1309 |
+
"eval_iou_unsafe": 0.8872234626234047,
|
| 1310 |
+
"eval_loss": 0.6508952975273132,
|
| 1311 |
+
"eval_mean_accuracy": 0.7762380990964388,
|
| 1312 |
+
"eval_mean_iou": 0.3718341757168124,
|
| 1313 |
+
"eval_overall_accuracy": 0.889278810415695,
|
| 1314 |
+
"eval_runtime": 10.5537,
|
| 1315 |
+
"eval_samples_per_second": 6.348,
|
| 1316 |
+
"eval_steps_per_second": 0.474,
|
| 1317 |
+
"step": 170
|
| 1318 |
+
},
|
| 1319 |
+
{
|
| 1320 |
+
"epoch": 15.55,
|
| 1321 |
+
"learning_rate": 1.5239616613418533e-06,
|
| 1322 |
+
"loss": 0.7212,
|
| 1323 |
+
"step": 171
|
| 1324 |
+
},
|
| 1325 |
+
{
|
| 1326 |
+
"epoch": 15.64,
|
| 1327 |
+
"learning_rate": 1.5143769968051119e-06,
|
| 1328 |
+
"loss": 0.7196,
|
| 1329 |
+
"step": 172
|
| 1330 |
+
},
|
| 1331 |
+
{
|
| 1332 |
+
"epoch": 15.73,
|
| 1333 |
+
"learning_rate": 1.5047923322683706e-06,
|
| 1334 |
+
"loss": 0.6797,
|
| 1335 |
+
"step": 173
|
| 1336 |
+
},
|
| 1337 |
+
{
|
| 1338 |
+
"epoch": 15.82,
|
| 1339 |
+
"learning_rate": 1.4952076677316294e-06,
|
| 1340 |
+
"loss": 0.6626,
|
| 1341 |
+
"step": 174
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"epoch": 15.91,
|
| 1345 |
+
"learning_rate": 1.4856230031948882e-06,
|
| 1346 |
+
"loss": 0.6783,
|
| 1347 |
+
"step": 175
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"epoch": 16.0,
|
| 1351 |
+
"learning_rate": 1.476038338658147e-06,
|
| 1352 |
+
"loss": 0.7436,
|
| 1353 |
+
"step": 176
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 16.09,
|
| 1357 |
+
"learning_rate": 1.4664536741214058e-06,
|
| 1358 |
+
"loss": 0.7123,
|
| 1359 |
+
"step": 177
|
| 1360 |
+
},
|
| 1361 |
+
{
|
| 1362 |
+
"epoch": 16.18,
|
| 1363 |
+
"learning_rate": 1.4568690095846646e-06,
|
| 1364 |
+
"loss": 0.7241,
|
| 1365 |
+
"step": 178
|
| 1366 |
+
},
|
| 1367 |
+
{
|
| 1368 |
+
"epoch": 16.27,
|
| 1369 |
+
"learning_rate": 1.4472843450479234e-06,
|
| 1370 |
+
"loss": 0.6914,
|
| 1371 |
+
"step": 179
|
| 1372 |
+
},
|
| 1373 |
+
{
|
| 1374 |
+
"epoch": 16.36,
|
| 1375 |
+
"learning_rate": 1.4376996805111822e-06,
|
| 1376 |
+
"loss": 0.6991,
|
| 1377 |
+
"step": 180
|
| 1378 |
+
},
|
| 1379 |
+
{
|
| 1380 |
+
"epoch": 16.36,
|
| 1381 |
+
"eval_accuracy_safe": 0.6619847263503225,
|
| 1382 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1383 |
+
"eval_accuracy_unsafe": 0.8964291023808605,
|
| 1384 |
+
"eval_iou_safe": 0.22672413565462626,
|
| 1385 |
+
"eval_iou_unlabeled": 0.0,
|
| 1386 |
+
"eval_iou_unsafe": 0.8874142561414083,
|
| 1387 |
+
"eval_loss": 0.6502141952514648,
|
| 1388 |
+
"eval_mean_accuracy": 0.7792069143655915,
|
| 1389 |
+
"eval_mean_iou": 0.37137946393201154,
|
| 1390 |
+
"eval_overall_accuracy": 0.889503991425927,
|
| 1391 |
+
"eval_runtime": 9.3648,
|
| 1392 |
+
"eval_samples_per_second": 7.154,
|
| 1393 |
+
"eval_steps_per_second": 0.534,
|
| 1394 |
+
"step": 180
|
| 1395 |
+
},
|
| 1396 |
+
{
|
| 1397 |
+
"epoch": 16.45,
|
| 1398 |
+
"learning_rate": 1.428115015974441e-06,
|
| 1399 |
+
"loss": 0.6552,
|
| 1400 |
+
"step": 181
|
| 1401 |
+
},
|
| 1402 |
+
{
|
| 1403 |
+
"epoch": 16.55,
|
| 1404 |
+
"learning_rate": 1.4185303514376998e-06,
|
| 1405 |
+
"loss": 0.6621,
|
| 1406 |
+
"step": 182
|
| 1407 |
+
},
|
| 1408 |
+
{
|
| 1409 |
+
"epoch": 16.64,
|
| 1410 |
+
"learning_rate": 1.4089456869009586e-06,
|
| 1411 |
+
"loss": 0.6742,
|
| 1412 |
+
"step": 183
|
| 1413 |
+
},
|
| 1414 |
+
{
|
| 1415 |
+
"epoch": 16.73,
|
| 1416 |
+
"learning_rate": 1.3993610223642173e-06,
|
| 1417 |
+
"loss": 0.6462,
|
| 1418 |
+
"step": 184
|
| 1419 |
+
},
|
| 1420 |
+
{
|
| 1421 |
+
"epoch": 16.82,
|
| 1422 |
+
"learning_rate": 1.3897763578274761e-06,
|
| 1423 |
+
"loss": 0.6759,
|
| 1424 |
+
"step": 185
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 16.91,
|
| 1428 |
+
"learning_rate": 1.3801916932907347e-06,
|
| 1429 |
+
"loss": 0.6773,
|
| 1430 |
+
"step": 186
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 17.0,
|
| 1434 |
+
"learning_rate": 1.3706070287539937e-06,
|
| 1435 |
+
"loss": 0.7158,
|
| 1436 |
+
"step": 187
|
| 1437 |
+
},
|
| 1438 |
+
{
|
| 1439 |
+
"epoch": 17.09,
|
| 1440 |
+
"learning_rate": 1.3610223642172525e-06,
|
| 1441 |
+
"loss": 0.6958,
|
| 1442 |
+
"step": 188
|
| 1443 |
+
},
|
| 1444 |
+
{
|
| 1445 |
+
"epoch": 17.18,
|
| 1446 |
+
"learning_rate": 1.3514376996805113e-06,
|
| 1447 |
+
"loss": 0.6747,
|
| 1448 |
+
"step": 189
|
| 1449 |
+
},
|
| 1450 |
+
{
|
| 1451 |
+
"epoch": 17.27,
|
| 1452 |
+
"learning_rate": 1.3418530351437699e-06,
|
| 1453 |
+
"loss": 0.6357,
|
| 1454 |
+
"step": 190
|
| 1455 |
+
},
|
| 1456 |
+
{
|
| 1457 |
+
"epoch": 17.27,
|
| 1458 |
+
"eval_accuracy_safe": 0.6611674588764114,
|
| 1459 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1460 |
+
"eval_accuracy_unsafe": 0.9051011079830231,
|
| 1461 |
+
"eval_iou_safe": 0.24110413837507133,
|
| 1462 |
+
"eval_iou_unlabeled": 0.0,
|
| 1463 |
+
"eval_iou_unsafe": 0.895975219611748,
|
| 1464 |
+
"eval_loss": 0.6229549646377563,
|
| 1465 |
+
"eval_mean_accuracy": 0.7831342834297172,
|
| 1466 |
+
"eval_mean_iou": 0.3790264526622731,
|
| 1467 |
+
"eval_overall_accuracy": 0.8978956991167211,
|
| 1468 |
+
"eval_runtime": 10.2719,
|
| 1469 |
+
"eval_samples_per_second": 6.523,
|
| 1470 |
+
"eval_steps_per_second": 0.487,
|
| 1471 |
+
"step": 190
|
| 1472 |
+
},
|
| 1473 |
+
{
|
| 1474 |
+
"epoch": 17.36,
|
| 1475 |
+
"learning_rate": 1.3322683706070287e-06,
|
| 1476 |
+
"loss": 0.6769,
|
| 1477 |
+
"step": 191
|
| 1478 |
+
},
|
| 1479 |
+
{
|
| 1480 |
+
"epoch": 17.45,
|
| 1481 |
+
"learning_rate": 1.3226837060702877e-06,
|
| 1482 |
+
"loss": 0.6396,
|
| 1483 |
+
"step": 192
|
| 1484 |
+
},
|
| 1485 |
+
{
|
| 1486 |
+
"epoch": 17.55,
|
| 1487 |
+
"learning_rate": 1.3130990415335465e-06,
|
| 1488 |
+
"loss": 0.6567,
|
| 1489 |
+
"step": 193
|
| 1490 |
+
},
|
| 1491 |
+
{
|
| 1492 |
+
"epoch": 17.64,
|
| 1493 |
+
"learning_rate": 1.303514376996805e-06,
|
| 1494 |
+
"loss": 0.6538,
|
| 1495 |
+
"step": 194
|
| 1496 |
+
},
|
| 1497 |
+
{
|
| 1498 |
+
"epoch": 17.73,
|
| 1499 |
+
"learning_rate": 1.2939297124600638e-06,
|
| 1500 |
+
"loss": 0.6654,
|
| 1501 |
+
"step": 195
|
| 1502 |
+
},
|
| 1503 |
+
{
|
| 1504 |
+
"epoch": 17.82,
|
| 1505 |
+
"learning_rate": 1.2843450479233228e-06,
|
| 1506 |
+
"loss": 0.6637,
|
| 1507 |
+
"step": 196
|
| 1508 |
+
},
|
| 1509 |
+
{
|
| 1510 |
+
"epoch": 17.91,
|
| 1511 |
+
"learning_rate": 1.2747603833865816e-06,
|
| 1512 |
+
"loss": 0.6417,
|
| 1513 |
+
"step": 197
|
| 1514 |
+
},
|
| 1515 |
+
{
|
| 1516 |
+
"epoch": 18.0,
|
| 1517 |
+
"learning_rate": 1.2651757188498402e-06,
|
| 1518 |
+
"loss": 0.6707,
|
| 1519 |
+
"step": 198
|
| 1520 |
+
},
|
| 1521 |
+
{
|
| 1522 |
+
"epoch": 18.09,
|
| 1523 |
+
"learning_rate": 1.255591054313099e-06,
|
| 1524 |
+
"loss": 0.6229,
|
| 1525 |
+
"step": 199
|
| 1526 |
+
},
|
| 1527 |
+
{
|
| 1528 |
+
"epoch": 18.18,
|
| 1529 |
+
"learning_rate": 1.2460063897763578e-06,
|
| 1530 |
+
"loss": 0.6815,
|
| 1531 |
+
"step": 200
|
| 1532 |
+
},
|
| 1533 |
+
{
|
| 1534 |
+
"epoch": 18.18,
|
| 1535 |
+
"eval_accuracy_safe": 0.6484207848080771,
|
| 1536 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1537 |
+
"eval_accuracy_unsafe": 0.9178010760554833,
|
| 1538 |
+
"eval_iou_safe": 0.2593923131195133,
|
| 1539 |
+
"eval_iou_unlabeled": 0.0,
|
| 1540 |
+
"eval_iou_unsafe": 0.908185465668198,
|
| 1541 |
+
"eval_loss": 0.5992904305458069,
|
| 1542 |
+
"eval_mean_accuracy": 0.7831109304317803,
|
| 1543 |
+
"eval_mean_iou": 0.3891925929292371,
|
| 1544 |
+
"eval_overall_accuracy": 0.9098440141820195,
|
| 1545 |
+
"eval_runtime": 9.7351,
|
| 1546 |
+
"eval_samples_per_second": 6.882,
|
| 1547 |
+
"eval_steps_per_second": 0.514,
|
| 1548 |
+
"step": 200
|
| 1549 |
+
},
|
| 1550 |
+
{
|
| 1551 |
+
"epoch": 18.27,
|
| 1552 |
+
"learning_rate": 1.2364217252396168e-06,
|
| 1553 |
+
"loss": 0.6677,
|
| 1554 |
+
"step": 201
|
| 1555 |
+
},
|
| 1556 |
+
{
|
| 1557 |
+
"epoch": 18.36,
|
| 1558 |
+
"learning_rate": 1.2268370607028754e-06,
|
| 1559 |
+
"loss": 0.6658,
|
| 1560 |
+
"step": 202
|
| 1561 |
+
},
|
| 1562 |
+
{
|
| 1563 |
+
"epoch": 18.45,
|
| 1564 |
+
"learning_rate": 1.2172523961661342e-06,
|
| 1565 |
+
"loss": 0.649,
|
| 1566 |
+
"step": 203
|
| 1567 |
+
},
|
| 1568 |
+
{
|
| 1569 |
+
"epoch": 18.55,
|
| 1570 |
+
"learning_rate": 1.207667731629393e-06,
|
| 1571 |
+
"loss": 0.6342,
|
| 1572 |
+
"step": 204
|
| 1573 |
+
},
|
| 1574 |
+
{
|
| 1575 |
+
"epoch": 18.64,
|
| 1576 |
+
"learning_rate": 1.198083067092652e-06,
|
| 1577 |
+
"loss": 0.6441,
|
| 1578 |
+
"step": 205
|
| 1579 |
+
},
|
| 1580 |
+
{
|
| 1581 |
+
"epoch": 18.73,
|
| 1582 |
+
"learning_rate": 1.1884984025559105e-06,
|
| 1583 |
+
"loss": 0.6429,
|
| 1584 |
+
"step": 206
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 18.82,
|
| 1588 |
+
"learning_rate": 1.1789137380191693e-06,
|
| 1589 |
+
"loss": 0.6155,
|
| 1590 |
+
"step": 207
|
| 1591 |
+
},
|
| 1592 |
+
{
|
| 1593 |
+
"epoch": 18.91,
|
| 1594 |
+
"learning_rate": 1.1693290734824281e-06,
|
| 1595 |
+
"loss": 0.6347,
|
| 1596 |
+
"step": 208
|
| 1597 |
+
},
|
| 1598 |
+
{
|
| 1599 |
+
"epoch": 19.0,
|
| 1600 |
+
"learning_rate": 1.159744408945687e-06,
|
| 1601 |
+
"loss": 0.6611,
|
| 1602 |
+
"step": 209
|
| 1603 |
+
},
|
| 1604 |
+
{
|
| 1605 |
+
"epoch": 19.09,
|
| 1606 |
+
"learning_rate": 1.1501597444089457e-06,
|
| 1607 |
+
"loss": 0.6398,
|
| 1608 |
+
"step": 210
|
| 1609 |
+
},
|
| 1610 |
+
{
|
| 1611 |
+
"epoch": 19.09,
|
| 1612 |
+
"eval_accuracy_safe": 0.6413602877398313,
|
| 1613 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1614 |
+
"eval_accuracy_unsafe": 0.9258418644556835,
|
| 1615 |
+
"eval_iou_safe": 0.26823363821482293,
|
| 1616 |
+
"eval_iou_unlabeled": 0.0,
|
| 1617 |
+
"eval_iou_unsafe": 0.9159351131912487,
|
| 1618 |
+
"eval_loss": 0.5784907341003418,
|
| 1619 |
+
"eval_mean_accuracy": 0.7836010760977574,
|
| 1620 |
+
"eval_mean_iou": 0.39472291713535723,
|
| 1621 |
+
"eval_overall_accuracy": 0.9174387348231985,
|
| 1622 |
+
"eval_runtime": 11.2723,
|
| 1623 |
+
"eval_samples_per_second": 5.944,
|
| 1624 |
+
"eval_steps_per_second": 0.444,
|
| 1625 |
+
"step": 210
|
| 1626 |
+
},
|
| 1627 |
+
{
|
| 1628 |
+
"epoch": 19.18,
|
| 1629 |
+
"learning_rate": 1.1405750798722045e-06,
|
| 1630 |
+
"loss": 0.6403,
|
| 1631 |
+
"step": 211
|
| 1632 |
+
},
|
| 1633 |
+
{
|
| 1634 |
+
"epoch": 19.27,
|
| 1635 |
+
"learning_rate": 1.1309904153354633e-06,
|
| 1636 |
+
"loss": 0.6271,
|
| 1637 |
+
"step": 212
|
| 1638 |
+
},
|
| 1639 |
+
{
|
| 1640 |
+
"epoch": 19.36,
|
| 1641 |
+
"learning_rate": 1.121405750798722e-06,
|
| 1642 |
+
"loss": 0.679,
|
| 1643 |
+
"step": 213
|
| 1644 |
+
},
|
| 1645 |
+
{
|
| 1646 |
+
"epoch": 19.45,
|
| 1647 |
+
"learning_rate": 1.1118210862619809e-06,
|
| 1648 |
+
"loss": 0.6239,
|
| 1649 |
+
"step": 214
|
| 1650 |
+
},
|
| 1651 |
+
{
|
| 1652 |
+
"epoch": 19.55,
|
| 1653 |
+
"learning_rate": 1.1022364217252397e-06,
|
| 1654 |
+
"loss": 0.6527,
|
| 1655 |
+
"step": 215
|
| 1656 |
+
},
|
| 1657 |
+
{
|
| 1658 |
+
"epoch": 19.64,
|
| 1659 |
+
"learning_rate": 1.0926517571884984e-06,
|
| 1660 |
+
"loss": 0.6228,
|
| 1661 |
+
"step": 216
|
| 1662 |
+
},
|
| 1663 |
+
{
|
| 1664 |
+
"epoch": 19.73,
|
| 1665 |
+
"learning_rate": 1.0830670926517572e-06,
|
| 1666 |
+
"loss": 0.6227,
|
| 1667 |
+
"step": 217
|
| 1668 |
+
},
|
| 1669 |
+
{
|
| 1670 |
+
"epoch": 19.82,
|
| 1671 |
+
"learning_rate": 1.073482428115016e-06,
|
| 1672 |
+
"loss": 0.6347,
|
| 1673 |
+
"step": 218
|
| 1674 |
+
},
|
| 1675 |
+
{
|
| 1676 |
+
"epoch": 19.91,
|
| 1677 |
+
"learning_rate": 1.0638977635782748e-06,
|
| 1678 |
+
"loss": 0.6374,
|
| 1679 |
+
"step": 219
|
| 1680 |
+
},
|
| 1681 |
+
{
|
| 1682 |
+
"epoch": 20.0,
|
| 1683 |
+
"learning_rate": 1.0543130990415336e-06,
|
| 1684 |
+
"loss": 0.5845,
|
| 1685 |
+
"step": 220
|
| 1686 |
+
},
|
| 1687 |
+
{
|
| 1688 |
+
"epoch": 20.0,
|
| 1689 |
+
"eval_accuracy_safe": 0.6426151017151052,
|
| 1690 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1691 |
+
"eval_accuracy_unsafe": 0.9286315640516787,
|
| 1692 |
+
"eval_iou_safe": 0.26982054857603477,
|
| 1693 |
+
"eval_iou_unlabeled": 0.0,
|
| 1694 |
+
"eval_iou_unsafe": 0.9187221572756564,
|
| 1695 |
+
"eval_loss": 0.5641139149665833,
|
| 1696 |
+
"eval_mean_accuracy": 0.7856233328833919,
|
| 1697 |
+
"eval_mean_iou": 0.39618090195056377,
|
| 1698 |
+
"eval_overall_accuracy": 0.9201830963590252,
|
| 1699 |
+
"eval_runtime": 9.4874,
|
| 1700 |
+
"eval_samples_per_second": 7.062,
|
| 1701 |
+
"eval_steps_per_second": 0.527,
|
| 1702 |
+
"step": 220
|
| 1703 |
+
},
|
| 1704 |
+
{
|
| 1705 |
+
"epoch": 20.09,
|
| 1706 |
+
"learning_rate": 1.0447284345047924e-06,
|
| 1707 |
+
"loss": 0.606,
|
| 1708 |
+
"step": 221
|
| 1709 |
+
},
|
| 1710 |
+
{
|
| 1711 |
+
"epoch": 20.18,
|
| 1712 |
+
"learning_rate": 1.0351437699680512e-06,
|
| 1713 |
+
"loss": 0.6491,
|
| 1714 |
+
"step": 222
|
| 1715 |
+
},
|
| 1716 |
+
{
|
| 1717 |
+
"epoch": 20.27,
|
| 1718 |
+
"learning_rate": 1.02555910543131e-06,
|
| 1719 |
+
"loss": 0.6396,
|
| 1720 |
+
"step": 223
|
| 1721 |
+
},
|
| 1722 |
+
{
|
| 1723 |
+
"epoch": 20.36,
|
| 1724 |
+
"learning_rate": 1.0159744408945688e-06,
|
| 1725 |
+
"loss": 0.617,
|
| 1726 |
+
"step": 224
|
| 1727 |
+
},
|
| 1728 |
+
{
|
| 1729 |
+
"epoch": 20.45,
|
| 1730 |
+
"learning_rate": 1.0063897763578276e-06,
|
| 1731 |
+
"loss": 0.614,
|
| 1732 |
+
"step": 225
|
| 1733 |
+
},
|
| 1734 |
+
{
|
| 1735 |
+
"epoch": 20.55,
|
| 1736 |
+
"learning_rate": 9.968051118210861e-07,
|
| 1737 |
+
"loss": 0.6281,
|
| 1738 |
+
"step": 226
|
| 1739 |
+
},
|
| 1740 |
+
{
|
| 1741 |
+
"epoch": 20.64,
|
| 1742 |
+
"learning_rate": 9.872204472843452e-07,
|
| 1743 |
+
"loss": 0.6374,
|
| 1744 |
+
"step": 227
|
| 1745 |
+
},
|
| 1746 |
+
{
|
| 1747 |
+
"epoch": 20.73,
|
| 1748 |
+
"learning_rate": 9.77635782747604e-07,
|
| 1749 |
+
"loss": 0.6394,
|
| 1750 |
+
"step": 228
|
| 1751 |
+
},
|
| 1752 |
+
{
|
| 1753 |
+
"epoch": 20.82,
|
| 1754 |
+
"learning_rate": 9.680511182108625e-07,
|
| 1755 |
+
"loss": 0.6351,
|
| 1756 |
+
"step": 229
|
| 1757 |
+
},
|
| 1758 |
+
{
|
| 1759 |
+
"epoch": 20.91,
|
| 1760 |
+
"learning_rate": 9.584664536741213e-07,
|
| 1761 |
+
"loss": 0.6062,
|
| 1762 |
+
"step": 230
|
| 1763 |
+
},
|
| 1764 |
+
{
|
| 1765 |
+
"epoch": 20.91,
|
| 1766 |
+
"eval_accuracy_safe": 0.6519963300064379,
|
| 1767 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1768 |
+
"eval_accuracy_unsafe": 0.9252195649054266,
|
| 1769 |
+
"eval_iou_safe": 0.2640576051310034,
|
| 1770 |
+
"eval_iou_unlabeled": 0.0,
|
| 1771 |
+
"eval_iou_unsafe": 0.9156001170929594,
|
| 1772 |
+
"eval_loss": 0.5693235397338867,
|
| 1773 |
+
"eval_mean_accuracy": 0.7886079474559322,
|
| 1774 |
+
"eval_mean_iou": 0.3932192407413209,
|
| 1775 |
+
"eval_overall_accuracy": 0.9171489886383513,
|
| 1776 |
+
"eval_runtime": 11.0762,
|
| 1777 |
+
"eval_samples_per_second": 6.049,
|
| 1778 |
+
"eval_steps_per_second": 0.451,
|
| 1779 |
+
"step": 230
|
| 1780 |
+
},
|
| 1781 |
+
{
|
| 1782 |
+
"epoch": 21.0,
|
| 1783 |
+
"learning_rate": 9.488817891373802e-07,
|
| 1784 |
+
"loss": 0.6456,
|
| 1785 |
+
"step": 231
|
| 1786 |
+
},
|
| 1787 |
+
{
|
| 1788 |
+
"epoch": 21.09,
|
| 1789 |
+
"learning_rate": 9.39297124600639e-07,
|
| 1790 |
+
"loss": 0.6055,
|
| 1791 |
+
"step": 232
|
| 1792 |
+
},
|
| 1793 |
+
{
|
| 1794 |
+
"epoch": 21.18,
|
| 1795 |
+
"learning_rate": 9.297124600638977e-07,
|
| 1796 |
+
"loss": 0.6134,
|
| 1797 |
+
"step": 233
|
| 1798 |
+
},
|
| 1799 |
+
{
|
| 1800 |
+
"epoch": 21.27,
|
| 1801 |
+
"learning_rate": 9.201277955271566e-07,
|
| 1802 |
+
"loss": 0.5718,
|
| 1803 |
+
"step": 234
|
| 1804 |
+
},
|
| 1805 |
+
{
|
| 1806 |
+
"epoch": 21.36,
|
| 1807 |
+
"learning_rate": 9.105431309904154e-07,
|
| 1808 |
+
"loss": 0.5939,
|
| 1809 |
+
"step": 235
|
| 1810 |
+
},
|
| 1811 |
+
{
|
| 1812 |
+
"epoch": 21.45,
|
| 1813 |
+
"learning_rate": 9.009584664536742e-07,
|
| 1814 |
+
"loss": 0.5917,
|
| 1815 |
+
"step": 236
|
| 1816 |
+
},
|
| 1817 |
+
{
|
| 1818 |
+
"epoch": 21.55,
|
| 1819 |
+
"learning_rate": 8.913738019169329e-07,
|
| 1820 |
+
"loss": 0.599,
|
| 1821 |
+
"step": 237
|
| 1822 |
+
},
|
| 1823 |
+
{
|
| 1824 |
+
"epoch": 21.64,
|
| 1825 |
+
"learning_rate": 8.817891373801916e-07,
|
| 1826 |
+
"loss": 0.6239,
|
| 1827 |
+
"step": 238
|
| 1828 |
+
},
|
| 1829 |
+
{
|
| 1830 |
+
"epoch": 21.73,
|
| 1831 |
+
"learning_rate": 8.722044728434505e-07,
|
| 1832 |
+
"loss": 0.5946,
|
| 1833 |
+
"step": 239
|
| 1834 |
+
},
|
| 1835 |
+
{
|
| 1836 |
+
"epoch": 21.82,
|
| 1837 |
+
"learning_rate": 8.626198083067093e-07,
|
| 1838 |
+
"loss": 0.6071,
|
| 1839 |
+
"step": 240
|
| 1840 |
+
},
|
| 1841 |
+
{
|
| 1842 |
+
"epoch": 21.82,
|
| 1843 |
+
"eval_accuracy_safe": 0.6591840432380754,
|
| 1844 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1845 |
+
"eval_accuracy_unsafe": 0.9282916959179331,
|
| 1846 |
+
"eval_iou_safe": 0.267531459702011,
|
| 1847 |
+
"eval_iou_unlabeled": 0.0,
|
| 1848 |
+
"eval_iou_unsafe": 0.9188227497665283,
|
| 1849 |
+
"eval_loss": 0.5627052187919617,
|
| 1850 |
+
"eval_mean_accuracy": 0.7937378695780043,
|
| 1851 |
+
"eval_mean_iou": 0.39545140315617977,
|
| 1852 |
+
"eval_overall_accuracy": 0.9203426873506005,
|
| 1853 |
+
"eval_runtime": 9.7383,
|
| 1854 |
+
"eval_samples_per_second": 6.88,
|
| 1855 |
+
"eval_steps_per_second": 0.513,
|
| 1856 |
+
"step": 240
|
| 1857 |
+
}
|
| 1858 |
+
],
|
| 1859 |
+
"max_steps": 330,
|
| 1860 |
+
"num_train_epochs": 30,
|
| 1861 |
+
"total_flos": 1.3448116877241876e+18,
|
| 1862 |
+
"trial_name": null,
|
| 1863 |
+
"trial_params": null
|
| 1864 |
+
}
|
{checkpoint-40 → checkpoint-240}/training_args.bin
RENAMED
|
File without changes
|
checkpoint-40/trainer_state.json
DELETED
|
@@ -1,324 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"best_metric": 1.0047743320465088,
|
| 3 |
-
"best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/safety-utcustom-train-SF-RGB-b5/checkpoint-40",
|
| 4 |
-
"epoch": 3.6363636363636362,
|
| 5 |
-
"global_step": 40,
|
| 6 |
-
"is_hyper_param_search": false,
|
| 7 |
-
"is_local_process_zero": true,
|
| 8 |
-
"is_world_process_zero": true,
|
| 9 |
-
"log_history": [
|
| 10 |
-
{
|
| 11 |
-
"epoch": 0.09,
|
| 12 |
-
"learning_rate": 1.764705882352941e-07,
|
| 13 |
-
"loss": 1.2293,
|
| 14 |
-
"step": 1
|
| 15 |
-
},
|
| 16 |
-
{
|
| 17 |
-
"epoch": 0.18,
|
| 18 |
-
"learning_rate": 3.529411764705882e-07,
|
| 19 |
-
"loss": 1.2349,
|
| 20 |
-
"step": 2
|
| 21 |
-
},
|
| 22 |
-
{
|
| 23 |
-
"epoch": 0.27,
|
| 24 |
-
"learning_rate": 5.294117647058824e-07,
|
| 25 |
-
"loss": 1.2357,
|
| 26 |
-
"step": 3
|
| 27 |
-
},
|
| 28 |
-
{
|
| 29 |
-
"epoch": 0.36,
|
| 30 |
-
"learning_rate": 7.058823529411765e-07,
|
| 31 |
-
"loss": 1.2242,
|
| 32 |
-
"step": 4
|
| 33 |
-
},
|
| 34 |
-
{
|
| 35 |
-
"epoch": 0.45,
|
| 36 |
-
"learning_rate": 8.823529411764706e-07,
|
| 37 |
-
"loss": 1.2247,
|
| 38 |
-
"step": 5
|
| 39 |
-
},
|
| 40 |
-
{
|
| 41 |
-
"epoch": 0.55,
|
| 42 |
-
"learning_rate": 1.0588235294117648e-06,
|
| 43 |
-
"loss": 1.227,
|
| 44 |
-
"step": 6
|
| 45 |
-
},
|
| 46 |
-
{
|
| 47 |
-
"epoch": 0.64,
|
| 48 |
-
"learning_rate": 1.2352941176470588e-06,
|
| 49 |
-
"loss": 1.2292,
|
| 50 |
-
"step": 7
|
| 51 |
-
},
|
| 52 |
-
{
|
| 53 |
-
"epoch": 0.73,
|
| 54 |
-
"learning_rate": 1.411764705882353e-06,
|
| 55 |
-
"loss": 1.2257,
|
| 56 |
-
"step": 8
|
| 57 |
-
},
|
| 58 |
-
{
|
| 59 |
-
"epoch": 0.82,
|
| 60 |
-
"learning_rate": 1.5882352941176472e-06,
|
| 61 |
-
"loss": 1.2173,
|
| 62 |
-
"step": 9
|
| 63 |
-
},
|
| 64 |
-
{
|
| 65 |
-
"epoch": 0.91,
|
| 66 |
-
"learning_rate": 1.7647058823529412e-06,
|
| 67 |
-
"loss": 1.2239,
|
| 68 |
-
"step": 10
|
| 69 |
-
},
|
| 70 |
-
{
|
| 71 |
-
"epoch": 0.91,
|
| 72 |
-
"eval_accuracy_safe": 0.39920432072351303,
|
| 73 |
-
"eval_accuracy_unlabeled": NaN,
|
| 74 |
-
"eval_accuracy_unsafe": 0.29510386893492613,
|
| 75 |
-
"eval_iou_safe": 0.031418797454432365,
|
| 76 |
-
"eval_iou_unlabeled": 0.0,
|
| 77 |
-
"eval_iou_unsafe": 0.29392505413655395,
|
| 78 |
-
"eval_loss": 1.1102662086486816,
|
| 79 |
-
"eval_mean_accuracy": 0.34715409482921955,
|
| 80 |
-
"eval_mean_iou": 0.10844795053032878,
|
| 81 |
-
"eval_overall_accuracy": 0.2981788293639226,
|
| 82 |
-
"eval_runtime": 9.3061,
|
| 83 |
-
"eval_samples_per_second": 7.2,
|
| 84 |
-
"eval_steps_per_second": 0.537,
|
| 85 |
-
"step": 10
|
| 86 |
-
},
|
| 87 |
-
{
|
| 88 |
-
"epoch": 1.0,
|
| 89 |
-
"learning_rate": 1.9411764705882353e-06,
|
| 90 |
-
"loss": 1.221,
|
| 91 |
-
"step": 11
|
| 92 |
-
},
|
| 93 |
-
{
|
| 94 |
-
"epoch": 1.09,
|
| 95 |
-
"learning_rate": 2.1176470588235296e-06,
|
| 96 |
-
"loss": 1.2149,
|
| 97 |
-
"step": 12
|
| 98 |
-
},
|
| 99 |
-
{
|
| 100 |
-
"epoch": 1.18,
|
| 101 |
-
"learning_rate": 2.2941176470588234e-06,
|
| 102 |
-
"loss": 1.2197,
|
| 103 |
-
"step": 13
|
| 104 |
-
},
|
| 105 |
-
{
|
| 106 |
-
"epoch": 1.27,
|
| 107 |
-
"learning_rate": 2.4705882352941177e-06,
|
| 108 |
-
"loss": 1.2064,
|
| 109 |
-
"step": 14
|
| 110 |
-
},
|
| 111 |
-
{
|
| 112 |
-
"epoch": 1.36,
|
| 113 |
-
"learning_rate": 2.647058823529412e-06,
|
| 114 |
-
"loss": 1.2042,
|
| 115 |
-
"step": 15
|
| 116 |
-
},
|
| 117 |
-
{
|
| 118 |
-
"epoch": 1.45,
|
| 119 |
-
"learning_rate": 2.823529411764706e-06,
|
| 120 |
-
"loss": 1.2046,
|
| 121 |
-
"step": 16
|
| 122 |
-
},
|
| 123 |
-
{
|
| 124 |
-
"epoch": 1.55,
|
| 125 |
-
"learning_rate": 3e-06,
|
| 126 |
-
"loss": 1.2054,
|
| 127 |
-
"step": 17
|
| 128 |
-
},
|
| 129 |
-
{
|
| 130 |
-
"epoch": 1.64,
|
| 131 |
-
"learning_rate": 2.990415335463259e-06,
|
| 132 |
-
"loss": 1.2002,
|
| 133 |
-
"step": 18
|
| 134 |
-
},
|
| 135 |
-
{
|
| 136 |
-
"epoch": 1.73,
|
| 137 |
-
"learning_rate": 2.9808306709265177e-06,
|
| 138 |
-
"loss": 1.1982,
|
| 139 |
-
"step": 19
|
| 140 |
-
},
|
| 141 |
-
{
|
| 142 |
-
"epoch": 1.82,
|
| 143 |
-
"learning_rate": 2.9712460063897764e-06,
|
| 144 |
-
"loss": 1.1948,
|
| 145 |
-
"step": 20
|
| 146 |
-
},
|
| 147 |
-
{
|
| 148 |
-
"epoch": 1.82,
|
| 149 |
-
"eval_accuracy_safe": 0.5218599774094934,
|
| 150 |
-
"eval_accuracy_unlabeled": NaN,
|
| 151 |
-
"eval_accuracy_unsafe": 0.3705393407485172,
|
| 152 |
-
"eval_iou_safe": 0.0439841259320199,
|
| 153 |
-
"eval_iou_unlabeled": 0.0,
|
| 154 |
-
"eval_iou_unsafe": 0.36893471456827454,
|
| 155 |
-
"eval_loss": 1.0963102579116821,
|
| 156 |
-
"eval_mean_accuracy": 0.4461996590790053,
|
| 157 |
-
"eval_mean_iou": 0.13763961350009815,
|
| 158 |
-
"eval_overall_accuracy": 0.37500910972481344,
|
| 159 |
-
"eval_runtime": 8.3942,
|
| 160 |
-
"eval_samples_per_second": 7.982,
|
| 161 |
-
"eval_steps_per_second": 0.596,
|
| 162 |
-
"step": 20
|
| 163 |
-
},
|
| 164 |
-
{
|
| 165 |
-
"epoch": 1.91,
|
| 166 |
-
"learning_rate": 2.9616613418530352e-06,
|
| 167 |
-
"loss": 1.1776,
|
| 168 |
-
"step": 21
|
| 169 |
-
},
|
| 170 |
-
{
|
| 171 |
-
"epoch": 2.0,
|
| 172 |
-
"learning_rate": 2.952076677316294e-06,
|
| 173 |
-
"loss": 1.1936,
|
| 174 |
-
"step": 22
|
| 175 |
-
},
|
| 176 |
-
{
|
| 177 |
-
"epoch": 2.09,
|
| 178 |
-
"learning_rate": 2.942492012779553e-06,
|
| 179 |
-
"loss": 1.1664,
|
| 180 |
-
"step": 23
|
| 181 |
-
},
|
| 182 |
-
{
|
| 183 |
-
"epoch": 2.18,
|
| 184 |
-
"learning_rate": 2.9329073482428116e-06,
|
| 185 |
-
"loss": 1.1809,
|
| 186 |
-
"step": 24
|
| 187 |
-
},
|
| 188 |
-
{
|
| 189 |
-
"epoch": 2.27,
|
| 190 |
-
"learning_rate": 2.9233226837060704e-06,
|
| 191 |
-
"loss": 1.1731,
|
| 192 |
-
"step": 25
|
| 193 |
-
},
|
| 194 |
-
{
|
| 195 |
-
"epoch": 2.36,
|
| 196 |
-
"learning_rate": 2.913738019169329e-06,
|
| 197 |
-
"loss": 1.1794,
|
| 198 |
-
"step": 26
|
| 199 |
-
},
|
| 200 |
-
{
|
| 201 |
-
"epoch": 2.45,
|
| 202 |
-
"learning_rate": 2.904153354632588e-06,
|
| 203 |
-
"loss": 1.1684,
|
| 204 |
-
"step": 27
|
| 205 |
-
},
|
| 206 |
-
{
|
| 207 |
-
"epoch": 2.55,
|
| 208 |
-
"learning_rate": 2.8945686900958468e-06,
|
| 209 |
-
"loss": 1.1594,
|
| 210 |
-
"step": 28
|
| 211 |
-
},
|
| 212 |
-
{
|
| 213 |
-
"epoch": 2.64,
|
| 214 |
-
"learning_rate": 2.884984025559105e-06,
|
| 215 |
-
"loss": 1.146,
|
| 216 |
-
"step": 29
|
| 217 |
-
},
|
| 218 |
-
{
|
| 219 |
-
"epoch": 2.73,
|
| 220 |
-
"learning_rate": 2.8753993610223644e-06,
|
| 221 |
-
"loss": 1.1661,
|
| 222 |
-
"step": 30
|
| 223 |
-
},
|
| 224 |
-
{
|
| 225 |
-
"epoch": 2.73,
|
| 226 |
-
"eval_accuracy_safe": 0.5863200218966003,
|
| 227 |
-
"eval_accuracy_unlabeled": NaN,
|
| 228 |
-
"eval_accuracy_unsafe": 0.49882181393718666,
|
| 229 |
-
"eval_iou_safe": 0.06472096392925002,
|
| 230 |
-
"eval_iou_unlabeled": 0.0,
|
| 231 |
-
"eval_iou_unsafe": 0.49613792944888824,
|
| 232 |
-
"eval_loss": 1.0516184568405151,
|
| 233 |
-
"eval_mean_accuracy": 0.5425709179168935,
|
| 234 |
-
"eval_mean_iou": 0.1869529644593794,
|
| 235 |
-
"eval_overall_accuracy": 0.5014063707038537,
|
| 236 |
-
"eval_runtime": 9.3615,
|
| 237 |
-
"eval_samples_per_second": 7.157,
|
| 238 |
-
"eval_steps_per_second": 0.534,
|
| 239 |
-
"step": 30
|
| 240 |
-
},
|
| 241 |
-
{
|
| 242 |
-
"epoch": 2.82,
|
| 243 |
-
"learning_rate": 2.865814696485623e-06,
|
| 244 |
-
"loss": 1.153,
|
| 245 |
-
"step": 31
|
| 246 |
-
},
|
| 247 |
-
{
|
| 248 |
-
"epoch": 2.91,
|
| 249 |
-
"learning_rate": 2.856230031948882e-06,
|
| 250 |
-
"loss": 1.149,
|
| 251 |
-
"step": 32
|
| 252 |
-
},
|
| 253 |
-
{
|
| 254 |
-
"epoch": 3.0,
|
| 255 |
-
"learning_rate": 2.8466453674121407e-06,
|
| 256 |
-
"loss": 1.164,
|
| 257 |
-
"step": 33
|
| 258 |
-
},
|
| 259 |
-
{
|
| 260 |
-
"epoch": 3.09,
|
| 261 |
-
"learning_rate": 2.8370607028753995e-06,
|
| 262 |
-
"loss": 1.1479,
|
| 263 |
-
"step": 34
|
| 264 |
-
},
|
| 265 |
-
{
|
| 266 |
-
"epoch": 3.18,
|
| 267 |
-
"learning_rate": 2.8274760383386583e-06,
|
| 268 |
-
"loss": 1.1428,
|
| 269 |
-
"step": 35
|
| 270 |
-
},
|
| 271 |
-
{
|
| 272 |
-
"epoch": 3.27,
|
| 273 |
-
"learning_rate": 2.817891373801917e-06,
|
| 274 |
-
"loss": 1.1398,
|
| 275 |
-
"step": 36
|
| 276 |
-
},
|
| 277 |
-
{
|
| 278 |
-
"epoch": 3.36,
|
| 279 |
-
"learning_rate": 2.8083067092651755e-06,
|
| 280 |
-
"loss": 1.1415,
|
| 281 |
-
"step": 37
|
| 282 |
-
},
|
| 283 |
-
{
|
| 284 |
-
"epoch": 3.45,
|
| 285 |
-
"learning_rate": 2.7987220447284347e-06,
|
| 286 |
-
"loss": 1.1146,
|
| 287 |
-
"step": 38
|
| 288 |
-
},
|
| 289 |
-
{
|
| 290 |
-
"epoch": 3.55,
|
| 291 |
-
"learning_rate": 2.7891373801916935e-06,
|
| 292 |
-
"loss": 1.1234,
|
| 293 |
-
"step": 39
|
| 294 |
-
},
|
| 295 |
-
{
|
| 296 |
-
"epoch": 3.64,
|
| 297 |
-
"learning_rate": 2.7795527156549523e-06,
|
| 298 |
-
"loss": 1.1112,
|
| 299 |
-
"step": 40
|
| 300 |
-
},
|
| 301 |
-
{
|
| 302 |
-
"epoch": 3.64,
|
| 303 |
-
"eval_accuracy_safe": 0.5458517893146133,
|
| 304 |
-
"eval_accuracy_unlabeled": NaN,
|
| 305 |
-
"eval_accuracy_unsafe": 0.5794390867479824,
|
| 306 |
-
"eval_iou_safe": 0.0899865428032596,
|
| 307 |
-
"eval_iou_unlabeled": 0.0,
|
| 308 |
-
"eval_iou_unsafe": 0.5753581085678546,
|
| 309 |
-
"eval_loss": 1.0047743320465088,
|
| 310 |
-
"eval_mean_accuracy": 0.5626454380312979,
|
| 311 |
-
"eval_mean_iou": 0.22178155045703807,
|
| 312 |
-
"eval_overall_accuracy": 0.5784469718363747,
|
| 313 |
-
"eval_runtime": 9.38,
|
| 314 |
-
"eval_samples_per_second": 7.143,
|
| 315 |
-
"eval_steps_per_second": 0.533,
|
| 316 |
-
"step": 40
|
| 317 |
-
}
|
| 318 |
-
],
|
| 319 |
-
"max_steps": 330,
|
| 320 |
-
"num_train_epochs": 30,
|
| 321 |
-
"total_flos": 2.2633072927860326e+17,
|
| 322 |
-
"trial_name": null,
|
| 323 |
-
"trial_params": null
|
| 324 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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 sha256:7d70d70feb376344127d411700d8fe4d7337210b8db09379aaa4aa2f604b2489
|
| 3 |
size 338796489
|
runs/Feb07_22-15-06_robovision.csres.utexas.edu/events.out.tfevents.1707365713.robovision.csres.utexas.edu.742362.0
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 sha256:897ae841bcee71fa10894f5c91969e61ce0e792f64bd0e1fc2e16aa98a2e19a6
|
| 3 |
+
size 60626
|