Training in progress, step 280
Browse files- {checkpoint-80 β checkpoint-280}/config.json +0 -0
- {checkpoint-80 β checkpoint-280}/optimizer.pt +2 -2
- {checkpoint-80 β checkpoint-280}/pytorch_model.bin +1 -1
- {checkpoint-80 β checkpoint-280}/rng_state.pth +1 -1
- {checkpoint-80 β checkpoint-280}/scheduler.pt +1 -1
- checkpoint-280/trainer_state.json +2172 -0
- {checkpoint-80 β checkpoint-280}/training_args.bin +0 -0
- checkpoint-80/trainer_state.json +0 -632
- pytorch_model.bin +1 -1
- runs/Feb12_06-10-25_robovision.csres.utexas.edu/events.out.tfevents.1707739840.robovision.csres.utexas.edu.2691300.0 +2 -2
{checkpoint-80 β checkpoint-280}/config.json
RENAMED
File without changes
|
{checkpoint-80 β checkpoint-280}/optimizer.pt
RENAMED
@@ -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 sha256:545fb09ed88f3cda4076a6f83ea6f39f5cde912a1a6133844f93a067a276f685
|
3 |
+
size 29839045
|
{checkpoint-80 β checkpoint-280}/pytorch_model.bin
RENAMED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 14932813
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a8b1da7114c1ae9d694a85585533a284f66eeeef0da4b97a8dbfe7bc2926a0a7
|
3 |
size 14932813
|
{checkpoint-80 β checkpoint-280}/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 sha256:52c1e29cf5633612d5fe771b1e4575ec1aed3ec9ad727446742b22a6e1d11f64
|
3 |
size 14575
|
{checkpoint-80 β checkpoint-280}/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:d3934efd963cc3386dbfe667b79d477dcd90ce24aaf09e672a7fe900e34f7ef9
|
3 |
size 627
|
checkpoint-280/trainer_state.json
ADDED
@@ -0,0 +1,2172 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.4023641347885132,
|
3 |
+
"best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/dropoff-utcustom-train-SF-RGB-b0_3/checkpoint-280",
|
4 |
+
"epoch": 93.33333333333333,
|
5 |
+
"global_step": 280,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.33,
|
12 |
+
"learning_rate": 1.111111111111111e-06,
|
13 |
+
"loss": 1.1153,
|
14 |
+
"step": 1
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.67,
|
18 |
+
"learning_rate": 2.222222222222222e-06,
|
19 |
+
"loss": 1.1199,
|
20 |
+
"step": 2
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 1.0,
|
24 |
+
"learning_rate": 3.3333333333333333e-06,
|
25 |
+
"loss": 1.1156,
|
26 |
+
"step": 3
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 1.33,
|
30 |
+
"learning_rate": 4.444444444444444e-06,
|
31 |
+
"loss": 1.1182,
|
32 |
+
"step": 4
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 1.67,
|
36 |
+
"learning_rate": 5.555555555555557e-06,
|
37 |
+
"loss": 1.1161,
|
38 |
+
"step": 5
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 2.0,
|
42 |
+
"learning_rate": 6.666666666666667e-06,
|
43 |
+
"loss": 1.1106,
|
44 |
+
"step": 6
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 2.33,
|
48 |
+
"learning_rate": 7.77777777777778e-06,
|
49 |
+
"loss": 1.1141,
|
50 |
+
"step": 7
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 2.67,
|
54 |
+
"learning_rate": 8.888888888888888e-06,
|
55 |
+
"loss": 1.1085,
|
56 |
+
"step": 8
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 3.0,
|
60 |
+
"learning_rate": 1e-05,
|
61 |
+
"loss": 1.0992,
|
62 |
+
"step": 9
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 3.33,
|
66 |
+
"learning_rate": 1.1111111111111113e-05,
|
67 |
+
"loss": 1.1015,
|
68 |
+
"step": 10
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 3.33,
|
72 |
+
"eval_accuracy_dropoff": 0.5975256737197602,
|
73 |
+
"eval_accuracy_undropoff": 0.31695782815139334,
|
74 |
+
"eval_accuracy_unlabeled": NaN,
|
75 |
+
"eval_iou_dropoff": 0.04272275097162494,
|
76 |
+
"eval_iou_undropoff": 0.3123742688218148,
|
77 |
+
"eval_iou_unlabeled": 0.0,
|
78 |
+
"eval_loss": 1.0990227460861206,
|
79 |
+
"eval_mean_accuracy": 0.45724175093557673,
|
80 |
+
"eval_mean_iou": 0.1183656732644799,
|
81 |
+
"eval_overall_accuracy": 0.32938079833984374,
|
82 |
+
"eval_runtime": 1.6795,
|
83 |
+
"eval_samples_per_second": 8.931,
|
84 |
+
"eval_steps_per_second": 0.595,
|
85 |
+
"step": 10
|
86 |
+
},
|
87 |
+
{
|
88 |
+
"epoch": 3.67,
|
89 |
+
"learning_rate": 1.2222222222222224e-05,
|
90 |
+
"loss": 1.102,
|
91 |
+
"step": 11
|
92 |
+
},
|
93 |
+
{
|
94 |
+
"epoch": 4.0,
|
95 |
+
"learning_rate": 1.3333333333333333e-05,
|
96 |
+
"loss": 1.0912,
|
97 |
+
"step": 12
|
98 |
+
},
|
99 |
+
{
|
100 |
+
"epoch": 4.33,
|
101 |
+
"learning_rate": 1.4444444444444446e-05,
|
102 |
+
"loss": 1.0939,
|
103 |
+
"step": 13
|
104 |
+
},
|
105 |
+
{
|
106 |
+
"epoch": 4.67,
|
107 |
+
"learning_rate": 1.555555555555556e-05,
|
108 |
+
"loss": 1.0846,
|
109 |
+
"step": 14
|
110 |
+
},
|
111 |
+
{
|
112 |
+
"epoch": 5.0,
|
113 |
+
"learning_rate": 1.6666666666666667e-05,
|
114 |
+
"loss": 1.0804,
|
115 |
+
"step": 15
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 5.33,
|
119 |
+
"learning_rate": 1.7777777777777777e-05,
|
120 |
+
"loss": 1.0734,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 5.67,
|
125 |
+
"learning_rate": 1.888888888888889e-05,
|
126 |
+
"loss": 1.0642,
|
127 |
+
"step": 17
|
128 |
+
},
|
129 |
+
{
|
130 |
+
"epoch": 6.0,
|
131 |
+
"learning_rate": 2e-05,
|
132 |
+
"loss": 1.0945,
|
133 |
+
"step": 18
|
134 |
+
},
|
135 |
+
{
|
136 |
+
"epoch": 6.33,
|
137 |
+
"learning_rate": 1.994152046783626e-05,
|
138 |
+
"loss": 1.0588,
|
139 |
+
"step": 19
|
140 |
+
},
|
141 |
+
{
|
142 |
+
"epoch": 6.67,
|
143 |
+
"learning_rate": 1.9883040935672515e-05,
|
144 |
+
"loss": 1.0478,
|
145 |
+
"step": 20
|
146 |
+
},
|
147 |
+
{
|
148 |
+
"epoch": 6.67,
|
149 |
+
"eval_accuracy_dropoff": 0.8648482551060261,
|
150 |
+
"eval_accuracy_undropoff": 0.5515245664509166,
|
151 |
+
"eval_accuracy_unlabeled": NaN,
|
152 |
+
"eval_iou_dropoff": 0.08793587759511783,
|
153 |
+
"eval_iou_undropoff": 0.5482206998703943,
|
154 |
+
"eval_iou_unlabeled": 0.0,
|
155 |
+
"eval_loss": 1.0755951404571533,
|
156 |
+
"eval_mean_accuracy": 0.7081864107784714,
|
157 |
+
"eval_mean_iou": 0.21205219248850404,
|
158 |
+
"eval_overall_accuracy": 0.5653978983561198,
|
159 |
+
"eval_runtime": 1.8074,
|
160 |
+
"eval_samples_per_second": 8.299,
|
161 |
+
"eval_steps_per_second": 0.553,
|
162 |
+
"step": 20
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 7.0,
|
166 |
+
"learning_rate": 1.9824561403508773e-05,
|
167 |
+
"loss": 1.0748,
|
168 |
+
"step": 21
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 7.33,
|
172 |
+
"learning_rate": 1.976608187134503e-05,
|
173 |
+
"loss": 1.0343,
|
174 |
+
"step": 22
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 7.67,
|
178 |
+
"learning_rate": 1.970760233918129e-05,
|
179 |
+
"loss": 1.0348,
|
180 |
+
"step": 23
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 8.0,
|
184 |
+
"learning_rate": 1.9649122807017544e-05,
|
185 |
+
"loss": 1.0366,
|
186 |
+
"step": 24
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 8.33,
|
190 |
+
"learning_rate": 1.9590643274853802e-05,
|
191 |
+
"loss": 1.0351,
|
192 |
+
"step": 25
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 8.67,
|
196 |
+
"learning_rate": 1.953216374269006e-05,
|
197 |
+
"loss": 1.0085,
|
198 |
+
"step": 26
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 9.0,
|
202 |
+
"learning_rate": 1.9473684210526318e-05,
|
203 |
+
"loss": 1.0048,
|
204 |
+
"step": 27
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 9.33,
|
208 |
+
"learning_rate": 1.9415204678362573e-05,
|
209 |
+
"loss": 1.0001,
|
210 |
+
"step": 28
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 9.67,
|
214 |
+
"learning_rate": 1.935672514619883e-05,
|
215 |
+
"loss": 0.9877,
|
216 |
+
"step": 29
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"epoch": 10.0,
|
220 |
+
"learning_rate": 1.929824561403509e-05,
|
221 |
+
"loss": 1.0451,
|
222 |
+
"step": 30
|
223 |
+
},
|
224 |
+
{
|
225 |
+
"epoch": 10.0,
|
226 |
+
"eval_accuracy_dropoff": 0.8842327750591586,
|
227 |
+
"eval_accuracy_undropoff": 0.7264455095352592,
|
228 |
+
"eval_accuracy_unlabeled": NaN,
|
229 |
+
"eval_iou_dropoff": 0.1312558881078339,
|
230 |
+
"eval_iou_undropoff": 0.7226098464796189,
|
231 |
+
"eval_iou_unlabeled": 0.0,
|
232 |
+
"eval_loss": 1.026917576789856,
|
233 |
+
"eval_mean_accuracy": 0.8053391422972089,
|
234 |
+
"eval_mean_iou": 0.2846219115291509,
|
235 |
+
"eval_overall_accuracy": 0.7334320068359375,
|
236 |
+
"eval_runtime": 1.7831,
|
237 |
+
"eval_samples_per_second": 8.412,
|
238 |
+
"eval_steps_per_second": 0.561,
|
239 |
+
"step": 30
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 10.33,
|
243 |
+
"learning_rate": 1.9239766081871347e-05,
|
244 |
+
"loss": 0.9774,
|
245 |
+
"step": 31
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 10.67,
|
249 |
+
"learning_rate": 1.9181286549707602e-05,
|
250 |
+
"loss": 0.9797,
|
251 |
+
"step": 32
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 11.0,
|
255 |
+
"learning_rate": 1.912280701754386e-05,
|
256 |
+
"loss": 0.9325,
|
257 |
+
"step": 33
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 11.33,
|
261 |
+
"learning_rate": 1.9064327485380118e-05,
|
262 |
+
"loss": 0.9775,
|
263 |
+
"step": 34
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 11.67,
|
267 |
+
"learning_rate": 1.9005847953216376e-05,
|
268 |
+
"loss": 0.9393,
|
269 |
+
"step": 35
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 12.0,
|
273 |
+
"learning_rate": 1.894736842105263e-05,
|
274 |
+
"loss": 0.9431,
|
275 |
+
"step": 36
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 12.33,
|
279 |
+
"learning_rate": 1.888888888888889e-05,
|
280 |
+
"loss": 0.9369,
|
281 |
+
"step": 37
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 12.67,
|
285 |
+
"learning_rate": 1.8830409356725147e-05,
|
286 |
+
"loss": 0.9234,
|
287 |
+
"step": 38
|
288 |
+
},
|
289 |
+
{
|
290 |
+
"epoch": 13.0,
|
291 |
+
"learning_rate": 1.8771929824561405e-05,
|
292 |
+
"loss": 1.0184,
|
293 |
+
"step": 39
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 13.33,
|
297 |
+
"learning_rate": 1.871345029239766e-05,
|
298 |
+
"loss": 0.9095,
|
299 |
+
"step": 40
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 13.33,
|
303 |
+
"eval_accuracy_dropoff": 0.7349346382704988,
|
304 |
+
"eval_accuracy_undropoff": 0.8459984055569215,
|
305 |
+
"eval_accuracy_unlabeled": NaN,
|
306 |
+
"eval_iou_dropoff": 0.17233702408257653,
|
307 |
+
"eval_iou_undropoff": 0.835792668708584,
|
308 |
+
"eval_iou_unlabeled": 0.0,
|
309 |
+
"eval_loss": 0.947559118270874,
|
310 |
+
"eval_mean_accuracy": 0.7904665219137101,
|
311 |
+
"eval_mean_iou": 0.33604323093038685,
|
312 |
+
"eval_overall_accuracy": 0.8410807291666667,
|
313 |
+
"eval_runtime": 1.7664,
|
314 |
+
"eval_samples_per_second": 8.492,
|
315 |
+
"eval_steps_per_second": 0.566,
|
316 |
+
"step": 40
|
317 |
+
},
|
318 |
+
{
|
319 |
+
"epoch": 13.67,
|
320 |
+
"learning_rate": 1.8654970760233918e-05,
|
321 |
+
"loss": 0.9068,
|
322 |
+
"step": 41
|
323 |
+
},
|
324 |
+
{
|
325 |
+
"epoch": 14.0,
|
326 |
+
"learning_rate": 1.8596491228070176e-05,
|
327 |
+
"loss": 0.9478,
|
328 |
+
"step": 42
|
329 |
+
},
|
330 |
+
{
|
331 |
+
"epoch": 14.33,
|
332 |
+
"learning_rate": 1.8538011695906434e-05,
|
333 |
+
"loss": 0.9028,
|
334 |
+
"step": 43
|
335 |
+
},
|
336 |
+
{
|
337 |
+
"epoch": 14.67,
|
338 |
+
"learning_rate": 1.847953216374269e-05,
|
339 |
+
"loss": 0.8937,
|
340 |
+
"step": 44
|
341 |
+
},
|
342 |
+
{
|
343 |
+
"epoch": 15.0,
|
344 |
+
"learning_rate": 1.8421052631578947e-05,
|
345 |
+
"loss": 0.7988,
|
346 |
+
"step": 45
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 15.33,
|
350 |
+
"learning_rate": 1.8362573099415205e-05,
|
351 |
+
"loss": 0.8873,
|
352 |
+
"step": 46
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 15.67,
|
356 |
+
"learning_rate": 1.8304093567251464e-05,
|
357 |
+
"loss": 0.8282,
|
358 |
+
"step": 47
|
359 |
+
},
|
360 |
+
{
|
361 |
+
"epoch": 16.0,
|
362 |
+
"learning_rate": 1.824561403508772e-05,
|
363 |
+
"loss": 0.868,
|
364 |
+
"step": 48
|
365 |
+
},
|
366 |
+
{
|
367 |
+
"epoch": 16.33,
|
368 |
+
"learning_rate": 1.8187134502923976e-05,
|
369 |
+
"loss": 0.8684,
|
370 |
+
"step": 49
|
371 |
+
},
|
372 |
+
{
|
373 |
+
"epoch": 16.67,
|
374 |
+
"learning_rate": 1.8128654970760235e-05,
|
375 |
+
"loss": 0.8091,
|
376 |
+
"step": 50
|
377 |
+
},
|
378 |
+
{
|
379 |
+
"epoch": 16.67,
|
380 |
+
"eval_accuracy_dropoff": 0.5974624945436166,
|
381 |
+
"eval_accuracy_undropoff": 0.9315254285997107,
|
382 |
+
"eval_accuracy_unlabeled": NaN,
|
383 |
+
"eval_iou_dropoff": 0.2429297387681515,
|
384 |
+
"eval_iou_undropoff": 0.914512280023459,
|
385 |
+
"eval_iou_unlabeled": 0.0,
|
386 |
+
"eval_loss": 0.8424645662307739,
|
387 |
+
"eval_mean_accuracy": 0.7644939615716636,
|
388 |
+
"eval_mean_iou": 0.3858140062638702,
|
389 |
+
"eval_overall_accuracy": 0.9167338053385417,
|
390 |
+
"eval_runtime": 1.7428,
|
391 |
+
"eval_samples_per_second": 8.607,
|
392 |
+
"eval_steps_per_second": 0.574,
|
393 |
+
"step": 50
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 17.0,
|
397 |
+
"learning_rate": 1.8070175438596493e-05,
|
398 |
+
"loss": 0.7826,
|
399 |
+
"step": 51
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 17.33,
|
403 |
+
"learning_rate": 1.8011695906432747e-05,
|
404 |
+
"loss": 0.8106,
|
405 |
+
"step": 52
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 17.67,
|
409 |
+
"learning_rate": 1.7953216374269006e-05,
|
410 |
+
"loss": 0.7961,
|
411 |
+
"step": 53
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 18.0,
|
415 |
+
"learning_rate": 1.7894736842105264e-05,
|
416 |
+
"loss": 0.7195,
|
417 |
+
"step": 54
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 18.33,
|
421 |
+
"learning_rate": 1.7836257309941522e-05,
|
422 |
+
"loss": 0.7777,
|
423 |
+
"step": 55
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 18.67,
|
427 |
+
"learning_rate": 1.7777777777777777e-05,
|
428 |
+
"loss": 0.7961,
|
429 |
+
"step": 56
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 19.0,
|
433 |
+
"learning_rate": 1.7719298245614035e-05,
|
434 |
+
"loss": 0.9039,
|
435 |
+
"step": 57
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 19.33,
|
439 |
+
"learning_rate": 1.7660818713450293e-05,
|
440 |
+
"loss": 0.7125,
|
441 |
+
"step": 58
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 19.67,
|
445 |
+
"learning_rate": 1.760233918128655e-05,
|
446 |
+
"loss": 0.7704,
|
447 |
+
"step": 59
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 20.0,
|
451 |
+
"learning_rate": 1.754385964912281e-05,
|
452 |
+
"loss": 0.8094,
|
453 |
+
"step": 60
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"epoch": 20.0,
|
457 |
+
"eval_accuracy_dropoff": 0.5280687848921359,
|
458 |
+
"eval_accuracy_undropoff": 0.9608414146478016,
|
459 |
+
"eval_accuracy_unlabeled": NaN,
|
460 |
+
"eval_iou_dropoff": 0.2866027007818053,
|
461 |
+
"eval_iou_undropoff": 0.9402828328280236,
|
462 |
+
"eval_iou_unlabeled": 0.0,
|
463 |
+
"eval_loss": 0.7488501071929932,
|
464 |
+
"eval_mean_accuracy": 0.7444550997699688,
|
465 |
+
"eval_mean_iou": 0.40896184453660966,
|
466 |
+
"eval_overall_accuracy": 0.9416791280110677,
|
467 |
+
"eval_runtime": 1.8293,
|
468 |
+
"eval_samples_per_second": 8.2,
|
469 |
+
"eval_steps_per_second": 0.547,
|
470 |
+
"step": 60
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 20.33,
|
474 |
+
"learning_rate": 1.7485380116959064e-05,
|
475 |
+
"loss": 0.7233,
|
476 |
+
"step": 61
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 20.67,
|
480 |
+
"learning_rate": 1.7426900584795322e-05,
|
481 |
+
"loss": 0.7181,
|
482 |
+
"step": 62
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 21.0,
|
486 |
+
"learning_rate": 1.736842105263158e-05,
|
487 |
+
"loss": 0.9374,
|
488 |
+
"step": 63
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 21.33,
|
492 |
+
"learning_rate": 1.7309941520467838e-05,
|
493 |
+
"loss": 0.7476,
|
494 |
+
"step": 64
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 21.67,
|
498 |
+
"learning_rate": 1.7251461988304093e-05,
|
499 |
+
"loss": 0.7718,
|
500 |
+
"step": 65
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 22.0,
|
504 |
+
"learning_rate": 1.719298245614035e-05,
|
505 |
+
"loss": 0.7803,
|
506 |
+
"step": 66
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 22.33,
|
510 |
+
"learning_rate": 1.713450292397661e-05,
|
511 |
+
"loss": 0.761,
|
512 |
+
"step": 67
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 22.67,
|
516 |
+
"learning_rate": 1.7076023391812867e-05,
|
517 |
+
"loss": 0.6901,
|
518 |
+
"step": 68
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 23.0,
|
522 |
+
"learning_rate": 1.7017543859649125e-05,
|
523 |
+
"loss": 0.9088,
|
524 |
+
"step": 69
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 23.33,
|
528 |
+
"learning_rate": 1.695906432748538e-05,
|
529 |
+
"loss": 0.6945,
|
530 |
+
"step": 70
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 23.33,
|
534 |
+
"eval_accuracy_dropoff": 0.5298435453856227,
|
535 |
+
"eval_accuracy_undropoff": 0.9645688777057901,
|
536 |
+
"eval_accuracy_unlabeled": NaN,
|
537 |
+
"eval_iou_dropoff": 0.30036630036630035,
|
538 |
+
"eval_iou_undropoff": 0.9440065001523473,
|
539 |
+
"eval_iou_unlabeled": 0.0,
|
540 |
+
"eval_loss": 0.7005425095558167,
|
541 |
+
"eval_mean_accuracy": 0.7472062115457064,
|
542 |
+
"eval_mean_iou": 0.4147909335062159,
|
543 |
+
"eval_overall_accuracy": 0.9453201293945312,
|
544 |
+
"eval_runtime": 1.7223,
|
545 |
+
"eval_samples_per_second": 8.71,
|
546 |
+
"eval_steps_per_second": 0.581,
|
547 |
+
"step": 70
|
548 |
+
},
|
549 |
+
{
|
550 |
+
"epoch": 23.67,
|
551 |
+
"learning_rate": 1.690058479532164e-05,
|
552 |
+
"loss": 0.6711,
|
553 |
+
"step": 71
|
554 |
+
},
|
555 |
+
{
|
556 |
+
"epoch": 24.0,
|
557 |
+
"learning_rate": 1.6842105263157896e-05,
|
558 |
+
"loss": 0.7554,
|
559 |
+
"step": 72
|
560 |
+
},
|
561 |
+
{
|
562 |
+
"epoch": 24.33,
|
563 |
+
"learning_rate": 1.6783625730994155e-05,
|
564 |
+
"loss": 0.6708,
|
565 |
+
"step": 73
|
566 |
+
},
|
567 |
+
{
|
568 |
+
"epoch": 24.67,
|
569 |
+
"learning_rate": 1.672514619883041e-05,
|
570 |
+
"loss": 0.6926,
|
571 |
+
"step": 74
|
572 |
+
},
|
573 |
+
{
|
574 |
+
"epoch": 25.0,
|
575 |
+
"learning_rate": 1.6666666666666667e-05,
|
576 |
+
"loss": 0.9247,
|
577 |
+
"step": 75
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 25.33,
|
581 |
+
"learning_rate": 1.6608187134502926e-05,
|
582 |
+
"loss": 0.6425,
|
583 |
+
"step": 76
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 25.67,
|
587 |
+
"learning_rate": 1.6549707602339184e-05,
|
588 |
+
"loss": 0.6567,
|
589 |
+
"step": 77
|
590 |
+
},
|
591 |
+
{
|
592 |
+
"epoch": 26.0,
|
593 |
+
"learning_rate": 1.649122807017544e-05,
|
594 |
+
"loss": 0.8971,
|
595 |
+
"step": 78
|
596 |
+
},
|
597 |
+
{
|
598 |
+
"epoch": 26.33,
|
599 |
+
"learning_rate": 1.6432748538011697e-05,
|
600 |
+
"loss": 0.6993,
|
601 |
+
"step": 79
|
602 |
+
},
|
603 |
+
{
|
604 |
+
"epoch": 26.67,
|
605 |
+
"learning_rate": 1.6374269005847955e-05,
|
606 |
+
"loss": 0.6337,
|
607 |
+
"step": 80
|
608 |
+
},
|
609 |
+
{
|
610 |
+
"epoch": 26.67,
|
611 |
+
"eval_accuracy_dropoff": 0.49581294369012335,
|
612 |
+
"eval_accuracy_undropoff": 0.9709405298276873,
|
613 |
+
"eval_accuracy_unlabeled": NaN,
|
614 |
+
"eval_iou_dropoff": 0.3046961862238145,
|
615 |
+
"eval_iou_undropoff": 0.9487783537255239,
|
616 |
+
"eval_iou_unlabeled": NaN,
|
617 |
+
"eval_loss": 0.6331071257591248,
|
618 |
+
"eval_mean_accuracy": 0.7333767367589054,
|
619 |
+
"eval_mean_iou": 0.6267372699746692,
|
620 |
+
"eval_overall_accuracy": 0.9499028523763021,
|
621 |
+
"eval_runtime": 1.7079,
|
622 |
+
"eval_samples_per_second": 8.783,
|
623 |
+
"eval_steps_per_second": 0.586,
|
624 |
+
"step": 80
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 27.0,
|
628 |
+
"learning_rate": 1.6315789473684213e-05,
|
629 |
+
"loss": 0.7322,
|
630 |
+
"step": 81
|
631 |
+
},
|
632 |
+
{
|
633 |
+
"epoch": 27.33,
|
634 |
+
"learning_rate": 1.625730994152047e-05,
|
635 |
+
"loss": 0.6814,
|
636 |
+
"step": 82
|
637 |
+
},
|
638 |
+
{
|
639 |
+
"epoch": 27.67,
|
640 |
+
"learning_rate": 1.6198830409356726e-05,
|
641 |
+
"loss": 0.6695,
|
642 |
+
"step": 83
|
643 |
+
},
|
644 |
+
{
|
645 |
+
"epoch": 28.0,
|
646 |
+
"learning_rate": 1.6140350877192984e-05,
|
647 |
+
"loss": 0.6004,
|
648 |
+
"step": 84
|
649 |
+
},
|
650 |
+
{
|
651 |
+
"epoch": 28.33,
|
652 |
+
"learning_rate": 1.6081871345029242e-05,
|
653 |
+
"loss": 0.647,
|
654 |
+
"step": 85
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 28.67,
|
658 |
+
"learning_rate": 1.60233918128655e-05,
|
659 |
+
"loss": 0.5803,
|
660 |
+
"step": 86
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 29.0,
|
664 |
+
"learning_rate": 1.5964912280701755e-05,
|
665 |
+
"loss": 0.8716,
|
666 |
+
"step": 87
|
667 |
+
},
|
668 |
+
{
|
669 |
+
"epoch": 29.33,
|
670 |
+
"learning_rate": 1.5906432748538013e-05,
|
671 |
+
"loss": 0.6239,
|
672 |
+
"step": 88
|
673 |
+
},
|
674 |
+
{
|
675 |
+
"epoch": 29.67,
|
676 |
+
"learning_rate": 1.584795321637427e-05,
|
677 |
+
"loss": 0.597,
|
678 |
+
"step": 89
|
679 |
+
},
|
680 |
+
{
|
681 |
+
"epoch": 30.0,
|
682 |
+
"learning_rate": 1.578947368421053e-05,
|
683 |
+
"loss": 0.603,
|
684 |
+
"step": 90
|
685 |
+
},
|
686 |
+
{
|
687 |
+
"epoch": 30.0,
|
688 |
+
"eval_accuracy_dropoff": 0.40565625933328736,
|
689 |
+
"eval_accuracy_undropoff": 0.9813906247172738,
|
690 |
+
"eval_accuracy_unlabeled": NaN,
|
691 |
+
"eval_iou_dropoff": 0.28940801416143874,
|
692 |
+
"eval_iou_undropoff": 0.9550916579222961,
|
693 |
+
"eval_iou_unlabeled": NaN,
|
694 |
+
"eval_loss": 0.5726452469825745,
|
695 |
+
"eval_mean_accuracy": 0.6935234420252806,
|
696 |
+
"eval_mean_iou": 0.6222498360418675,
|
697 |
+
"eval_overall_accuracy": 0.9558982849121094,
|
698 |
+
"eval_runtime": 1.7573,
|
699 |
+
"eval_samples_per_second": 8.536,
|
700 |
+
"eval_steps_per_second": 0.569,
|
701 |
+
"step": 90
|
702 |
+
},
|
703 |
+
{
|
704 |
+
"epoch": 30.33,
|
705 |
+
"learning_rate": 1.5730994152046787e-05,
|
706 |
+
"loss": 0.5913,
|
707 |
+
"step": 91
|
708 |
+
},
|
709 |
+
{
|
710 |
+
"epoch": 30.67,
|
711 |
+
"learning_rate": 1.5672514619883042e-05,
|
712 |
+
"loss": 0.6683,
|
713 |
+
"step": 92
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 31.0,
|
717 |
+
"learning_rate": 1.56140350877193e-05,
|
718 |
+
"loss": 0.8263,
|
719 |
+
"step": 93
|
720 |
+
},
|
721 |
+
{
|
722 |
+
"epoch": 31.33,
|
723 |
+
"learning_rate": 1.555555555555556e-05,
|
724 |
+
"loss": 0.5791,
|
725 |
+
"step": 94
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 31.67,
|
729 |
+
"learning_rate": 1.5497076023391816e-05,
|
730 |
+
"loss": 0.6118,
|
731 |
+
"step": 95
|
732 |
+
},
|
733 |
+
{
|
734 |
+
"epoch": 32.0,
|
735 |
+
"learning_rate": 1.543859649122807e-05,
|
736 |
+
"loss": 0.6546,
|
737 |
+
"step": 96
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 32.33,
|
741 |
+
"learning_rate": 1.538011695906433e-05,
|
742 |
+
"loss": 0.6008,
|
743 |
+
"step": 97
|
744 |
+
},
|
745 |
+
{
|
746 |
+
"epoch": 32.67,
|
747 |
+
"learning_rate": 1.5321637426900587e-05,
|
748 |
+
"loss": 0.5931,
|
749 |
+
"step": 98
|
750 |
+
},
|
751 |
+
{
|
752 |
+
"epoch": 33.0,
|
753 |
+
"learning_rate": 1.5263157894736846e-05,
|
754 |
+
"loss": 0.8761,
|
755 |
+
"step": 99
|
756 |
+
},
|
757 |
+
{
|
758 |
+
"epoch": 33.33,
|
759 |
+
"learning_rate": 1.52046783625731e-05,
|
760 |
+
"loss": 0.5903,
|
761 |
+
"step": 100
|
762 |
+
},
|
763 |
+
{
|
764 |
+
"epoch": 33.33,
|
765 |
+
"eval_accuracy_dropoff": 0.4546373515289361,
|
766 |
+
"eval_accuracy_undropoff": 0.9756530777115378,
|
767 |
+
"eval_accuracy_unlabeled": NaN,
|
768 |
+
"eval_iou_dropoff": 0.2980214980892679,
|
769 |
+
"eval_iou_undropoff": 0.9516094455131633,
|
770 |
+
"eval_iou_unlabeled": NaN,
|
771 |
+
"eval_loss": 0.5840517282485962,
|
772 |
+
"eval_mean_accuracy": 0.715145214620237,
|
773 |
+
"eval_mean_iou": 0.6248154718012155,
|
774 |
+
"eval_overall_accuracy": 0.9525835673014323,
|
775 |
+
"eval_runtime": 1.6835,
|
776 |
+
"eval_samples_per_second": 8.91,
|
777 |
+
"eval_steps_per_second": 0.594,
|
778 |
+
"step": 100
|
779 |
+
},
|
780 |
+
{
|
781 |
+
"epoch": 33.67,
|
782 |
+
"learning_rate": 1.5146198830409358e-05,
|
783 |
+
"loss": 0.5691,
|
784 |
+
"step": 101
|
785 |
+
},
|
786 |
+
{
|
787 |
+
"epoch": 34.0,
|
788 |
+
"learning_rate": 1.5087719298245615e-05,
|
789 |
+
"loss": 0.8078,
|
790 |
+
"step": 102
|
791 |
+
},
|
792 |
+
{
|
793 |
+
"epoch": 34.33,
|
794 |
+
"learning_rate": 1.5029239766081873e-05,
|
795 |
+
"loss": 0.5583,
|
796 |
+
"step": 103
|
797 |
+
},
|
798 |
+
{
|
799 |
+
"epoch": 34.67,
|
800 |
+
"learning_rate": 1.497076023391813e-05,
|
801 |
+
"loss": 0.5857,
|
802 |
+
"step": 104
|
803 |
+
},
|
804 |
+
{
|
805 |
+
"epoch": 35.0,
|
806 |
+
"learning_rate": 1.4912280701754388e-05,
|
807 |
+
"loss": 0.5148,
|
808 |
+
"step": 105
|
809 |
+
},
|
810 |
+
{
|
811 |
+
"epoch": 35.33,
|
812 |
+
"learning_rate": 1.4853801169590644e-05,
|
813 |
+
"loss": 0.5866,
|
814 |
+
"step": 106
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 35.67,
|
818 |
+
"learning_rate": 1.4795321637426902e-05,
|
819 |
+
"loss": 0.5276,
|
820 |
+
"step": 107
|
821 |
+
},
|
822 |
+
{
|
823 |
+
"epoch": 36.0,
|
824 |
+
"learning_rate": 1.4736842105263159e-05,
|
825 |
+
"loss": 0.8399,
|
826 |
+
"step": 108
|
827 |
+
},
|
828 |
+
{
|
829 |
+
"epoch": 36.33,
|
830 |
+
"learning_rate": 1.4678362573099417e-05,
|
831 |
+
"loss": 0.5761,
|
832 |
+
"step": 109
|
833 |
+
},
|
834 |
+
{
|
835 |
+
"epoch": 36.67,
|
836 |
+
"learning_rate": 1.4619883040935675e-05,
|
837 |
+
"loss": 0.5514,
|
838 |
+
"step": 110
|
839 |
+
},
|
840 |
+
{
|
841 |
+
"epoch": 36.67,
|
842 |
+
"eval_accuracy_dropoff": 0.3781273692191054,
|
843 |
+
"eval_accuracy_undropoff": 0.9853985522286546,
|
844 |
+
"eval_accuracy_unlabeled": NaN,
|
845 |
+
"eval_iou_dropoff": 0.28751293775466086,
|
846 |
+
"eval_iou_undropoff": 0.9578033403813699,
|
847 |
+
"eval_iou_unlabeled": NaN,
|
848 |
+
"eval_loss": 0.5156698822975159,
|
849 |
+
"eval_mean_accuracy": 0.68176296072388,
|
850 |
+
"eval_mean_iou": 0.6226581390680154,
|
851 |
+
"eval_overall_accuracy": 0.9585098266601563,
|
852 |
+
"eval_runtime": 1.8267,
|
853 |
+
"eval_samples_per_second": 8.212,
|
854 |
+
"eval_steps_per_second": 0.547,
|
855 |
+
"step": 110
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 37.0,
|
859 |
+
"learning_rate": 1.4561403508771931e-05,
|
860 |
+
"loss": 0.6281,
|
861 |
+
"step": 111
|
862 |
+
},
|
863 |
+
{
|
864 |
+
"epoch": 37.33,
|
865 |
+
"learning_rate": 1.4502923976608188e-05,
|
866 |
+
"loss": 0.5795,
|
867 |
+
"step": 112
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"epoch": 37.67,
|
871 |
+
"learning_rate": 1.4444444444444446e-05,
|
872 |
+
"loss": 0.5427,
|
873 |
+
"step": 113
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 38.0,
|
877 |
+
"learning_rate": 1.4385964912280704e-05,
|
878 |
+
"loss": 0.8123,
|
879 |
+
"step": 114
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 38.33,
|
883 |
+
"learning_rate": 1.432748538011696e-05,
|
884 |
+
"loss": 0.5282,
|
885 |
+
"step": 115
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 38.67,
|
889 |
+
"learning_rate": 1.4269005847953217e-05,
|
890 |
+
"loss": 0.6357,
|
891 |
+
"step": 116
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 39.0,
|
895 |
+
"learning_rate": 1.4210526315789475e-05,
|
896 |
+
"loss": 0.5648,
|
897 |
+
"step": 117
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 39.33,
|
901 |
+
"learning_rate": 1.4152046783625733e-05,
|
902 |
+
"loss": 0.5177,
|
903 |
+
"step": 118
|
904 |
+
},
|
905 |
+
{
|
906 |
+
"epoch": 39.67,
|
907 |
+
"learning_rate": 1.409356725146199e-05,
|
908 |
+
"loss": 0.5163,
|
909 |
+
"step": 119
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 40.0,
|
913 |
+
"learning_rate": 1.4035087719298246e-05,
|
914 |
+
"loss": 0.6464,
|
915 |
+
"step": 120
|
916 |
+
},
|
917 |
+
{
|
918 |
+
"epoch": 40.0,
|
919 |
+
"eval_accuracy_dropoff": 0.3941002136604866,
|
920 |
+
"eval_accuracy_undropoff": 0.983633542058492,
|
921 |
+
"eval_accuracy_unlabeled": NaN,
|
922 |
+
"eval_iou_dropoff": 0.29122208357737656,
|
923 |
+
"eval_iou_undropoff": 0.9567759549263578,
|
924 |
+
"eval_iou_unlabeled": NaN,
|
925 |
+
"eval_loss": 0.5141220092773438,
|
926 |
+
"eval_mean_accuracy": 0.6888668778594893,
|
927 |
+
"eval_mean_iou": 0.6239990192518672,
|
928 |
+
"eval_overall_accuracy": 0.9575302124023437,
|
929 |
+
"eval_runtime": 1.7894,
|
930 |
+
"eval_samples_per_second": 8.383,
|
931 |
+
"eval_steps_per_second": 0.559,
|
932 |
+
"step": 120
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 40.33,
|
936 |
+
"learning_rate": 1.3976608187134504e-05,
|
937 |
+
"loss": 0.5223,
|
938 |
+
"step": 121
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 40.67,
|
942 |
+
"learning_rate": 1.3918128654970762e-05,
|
943 |
+
"loss": 0.5158,
|
944 |
+
"step": 122
|
945 |
+
},
|
946 |
+
{
|
947 |
+
"epoch": 41.0,
|
948 |
+
"learning_rate": 1.385964912280702e-05,
|
949 |
+
"loss": 0.7741,
|
950 |
+
"step": 123
|
951 |
+
},
|
952 |
+
{
|
953 |
+
"epoch": 41.33,
|
954 |
+
"learning_rate": 1.3801169590643275e-05,
|
955 |
+
"loss": 0.5087,
|
956 |
+
"step": 124
|
957 |
+
},
|
958 |
+
{
|
959 |
+
"epoch": 41.67,
|
960 |
+
"learning_rate": 1.3742690058479533e-05,
|
961 |
+
"loss": 0.5203,
|
962 |
+
"step": 125
|
963 |
+
},
|
964 |
+
{
|
965 |
+
"epoch": 42.0,
|
966 |
+
"learning_rate": 1.3684210526315791e-05,
|
967 |
+
"loss": 0.5061,
|
968 |
+
"step": 126
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 42.33,
|
972 |
+
"learning_rate": 1.362573099415205e-05,
|
973 |
+
"loss": 0.4992,
|
974 |
+
"step": 127
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 42.67,
|
978 |
+
"learning_rate": 1.3567251461988304e-05,
|
979 |
+
"loss": 0.5293,
|
980 |
+
"step": 128
|
981 |
+
},
|
982 |
+
{
|
983 |
+
"epoch": 43.0,
|
984 |
+
"learning_rate": 1.3508771929824562e-05,
|
985 |
+
"loss": 0.7778,
|
986 |
+
"step": 129
|
987 |
+
},
|
988 |
+
{
|
989 |
+
"epoch": 43.33,
|
990 |
+
"learning_rate": 1.345029239766082e-05,
|
991 |
+
"loss": 0.5198,
|
992 |
+
"step": 130
|
993 |
+
},
|
994 |
+
{
|
995 |
+
"epoch": 43.33,
|
996 |
+
"eval_accuracy_dropoff": 0.3656810715188274,
|
997 |
+
"eval_accuracy_undropoff": 0.9866212601635103,
|
998 |
+
"eval_accuracy_unlabeled": NaN,
|
999 |
+
"eval_iou_dropoff": 0.28375204453179664,
|
1000 |
+
"eval_iou_undropoff": 0.9584546122881992,
|
1001 |
+
"eval_iou_unlabeled": 0.0,
|
1002 |
+
"eval_loss": 0.48896968364715576,
|
1003 |
+
"eval_mean_accuracy": 0.6761511658411689,
|
1004 |
+
"eval_mean_iou": 0.41406888560666527,
|
1005 |
+
"eval_overall_accuracy": 0.9591272989908854,
|
1006 |
+
"eval_runtime": 1.7404,
|
1007 |
+
"eval_samples_per_second": 8.619,
|
1008 |
+
"eval_steps_per_second": 0.575,
|
1009 |
+
"step": 130
|
1010 |
+
},
|
1011 |
+
{
|
1012 |
+
"epoch": 43.67,
|
1013 |
+
"learning_rate": 1.3391812865497079e-05,
|
1014 |
+
"loss": 0.4739,
|
1015 |
+
"step": 131
|
1016 |
+
},
|
1017 |
+
{
|
1018 |
+
"epoch": 44.0,
|
1019 |
+
"learning_rate": 1.3333333333333333e-05,
|
1020 |
+
"loss": 0.7511,
|
1021 |
+
"step": 132
|
1022 |
+
},
|
1023 |
+
{
|
1024 |
+
"epoch": 44.33,
|
1025 |
+
"learning_rate": 1.3274853801169591e-05,
|
1026 |
+
"loss": 0.4826,
|
1027 |
+
"step": 133
|
1028 |
+
},
|
1029 |
+
{
|
1030 |
+
"epoch": 44.67,
|
1031 |
+
"learning_rate": 1.321637426900585e-05,
|
1032 |
+
"loss": 0.5534,
|
1033 |
+
"step": 134
|
1034 |
+
},
|
1035 |
+
{
|
1036 |
+
"epoch": 45.0,
|
1037 |
+
"learning_rate": 1.3157894736842108e-05,
|
1038 |
+
"loss": 0.5636,
|
1039 |
+
"step": 135
|
1040 |
+
},
|
1041 |
+
{
|
1042 |
+
"epoch": 45.33,
|
1043 |
+
"learning_rate": 1.3099415204678362e-05,
|
1044 |
+
"loss": 0.5102,
|
1045 |
+
"step": 136
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 45.67,
|
1049 |
+
"learning_rate": 1.304093567251462e-05,
|
1050 |
+
"loss": 0.485,
|
1051 |
+
"step": 137
|
1052 |
+
},
|
1053 |
+
{
|
1054 |
+
"epoch": 46.0,
|
1055 |
+
"learning_rate": 1.2982456140350879e-05,
|
1056 |
+
"loss": 0.486,
|
1057 |
+
"step": 138
|
1058 |
+
},
|
1059 |
+
{
|
1060 |
+
"epoch": 46.33,
|
1061 |
+
"learning_rate": 1.2923976608187137e-05,
|
1062 |
+
"loss": 0.4934,
|
1063 |
+
"step": 139
|
1064 |
+
},
|
1065 |
+
{
|
1066 |
+
"epoch": 46.67,
|
1067 |
+
"learning_rate": 1.2865497076023392e-05,
|
1068 |
+
"loss": 0.5077,
|
1069 |
+
"step": 140
|
1070 |
+
},
|
1071 |
+
{
|
1072 |
+
"epoch": 46.67,
|
1073 |
+
"eval_accuracy_dropoff": 0.3572322925999954,
|
1074 |
+
"eval_accuracy_undropoff": 0.986647337503579,
|
1075 |
+
"eval_accuracy_unlabeled": NaN,
|
1076 |
+
"eval_iou_dropoff": 0.27731853040841803,
|
1077 |
+
"eval_iou_undropoff": 0.95811562022686,
|
1078 |
+
"eval_iou_unlabeled": 0.0,
|
1079 |
+
"eval_loss": 0.48549026250839233,
|
1080 |
+
"eval_mean_accuracy": 0.6719398150517872,
|
1081 |
+
"eval_mean_iou": 0.4118113835450927,
|
1082 |
+
"eval_overall_accuracy": 0.9587781270345052,
|
1083 |
+
"eval_runtime": 1.7229,
|
1084 |
+
"eval_samples_per_second": 8.706,
|
1085 |
+
"eval_steps_per_second": 0.58,
|
1086 |
+
"step": 140
|
1087 |
+
},
|
1088 |
+
{
|
1089 |
+
"epoch": 47.0,
|
1090 |
+
"learning_rate": 1.280701754385965e-05,
|
1091 |
+
"loss": 0.647,
|
1092 |
+
"step": 141
|
1093 |
+
},
|
1094 |
+
{
|
1095 |
+
"epoch": 47.33,
|
1096 |
+
"learning_rate": 1.2748538011695908e-05,
|
1097 |
+
"loss": 0.4891,
|
1098 |
+
"step": 142
|
1099 |
+
},
|
1100 |
+
{
|
1101 |
+
"epoch": 47.67,
|
1102 |
+
"learning_rate": 1.2690058479532166e-05,
|
1103 |
+
"loss": 0.4703,
|
1104 |
+
"step": 143
|
1105 |
+
},
|
1106 |
+
{
|
1107 |
+
"epoch": 48.0,
|
1108 |
+
"learning_rate": 1.263157894736842e-05,
|
1109 |
+
"loss": 0.7596,
|
1110 |
+
"step": 144
|
1111 |
+
},
|
1112 |
+
{
|
1113 |
+
"epoch": 48.33,
|
1114 |
+
"learning_rate": 1.2573099415204679e-05,
|
1115 |
+
"loss": 0.4825,
|
1116 |
+
"step": 145
|
1117 |
+
},
|
1118 |
+
{
|
1119 |
+
"epoch": 48.67,
|
1120 |
+
"learning_rate": 1.2514619883040937e-05,
|
1121 |
+
"loss": 0.4702,
|
1122 |
+
"step": 146
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 49.0,
|
1126 |
+
"learning_rate": 1.2456140350877195e-05,
|
1127 |
+
"loss": 0.6684,
|
1128 |
+
"step": 147
|
1129 |
+
},
|
1130 |
+
{
|
1131 |
+
"epoch": 49.33,
|
1132 |
+
"learning_rate": 1.239766081871345e-05,
|
1133 |
+
"loss": 0.4681,
|
1134 |
+
"step": 148
|
1135 |
+
},
|
1136 |
+
{
|
1137 |
+
"epoch": 49.67,
|
1138 |
+
"learning_rate": 1.2339181286549708e-05,
|
1139 |
+
"loss": 0.497,
|
1140 |
+
"step": 149
|
1141 |
+
},
|
1142 |
+
{
|
1143 |
+
"epoch": 50.0,
|
1144 |
+
"learning_rate": 1.2280701754385966e-05,
|
1145 |
+
"loss": 0.4817,
|
1146 |
+
"step": 150
|
1147 |
+
},
|
1148 |
+
{
|
1149 |
+
"epoch": 50.0,
|
1150 |
+
"eval_accuracy_dropoff": 0.36020745744020954,
|
1151 |
+
"eval_accuracy_undropoff": 0.9863945469620963,
|
1152 |
+
"eval_accuracy_unlabeled": NaN,
|
1153 |
+
"eval_iou_dropoff": 0.27843880695086975,
|
1154 |
+
"eval_iou_undropoff": 0.9579983692751803,
|
1155 |
+
"eval_iou_unlabeled": NaN,
|
1156 |
+
"eval_loss": 0.47096526622772217,
|
1157 |
+
"eval_mean_accuracy": 0.673301002201153,
|
1158 |
+
"eval_mean_iou": 0.6182185881130251,
|
1159 |
+
"eval_overall_accuracy": 0.9586682637532552,
|
1160 |
+
"eval_runtime": 1.7512,
|
1161 |
+
"eval_samples_per_second": 8.565,
|
1162 |
+
"eval_steps_per_second": 0.571,
|
1163 |
+
"step": 150
|
1164 |
+
},
|
1165 |
+
{
|
1166 |
+
"epoch": 50.33,
|
1167 |
+
"learning_rate": 1.2222222222222224e-05,
|
1168 |
+
"loss": 0.4865,
|
1169 |
+
"step": 151
|
1170 |
+
},
|
1171 |
+
{
|
1172 |
+
"epoch": 50.67,
|
1173 |
+
"learning_rate": 1.216374269005848e-05,
|
1174 |
+
"loss": 0.4611,
|
1175 |
+
"step": 152
|
1176 |
+
},
|
1177 |
+
{
|
1178 |
+
"epoch": 51.0,
|
1179 |
+
"learning_rate": 1.2105263157894737e-05,
|
1180 |
+
"loss": 0.5011,
|
1181 |
+
"step": 153
|
1182 |
+
},
|
1183 |
+
{
|
1184 |
+
"epoch": 51.33,
|
1185 |
+
"learning_rate": 1.2046783625730995e-05,
|
1186 |
+
"loss": 0.4967,
|
1187 |
+
"step": 154
|
1188 |
+
},
|
1189 |
+
{
|
1190 |
+
"epoch": 51.67,
|
1191 |
+
"learning_rate": 1.1988304093567253e-05,
|
1192 |
+
"loss": 0.4445,
|
1193 |
+
"step": 155
|
1194 |
+
},
|
1195 |
+
{
|
1196 |
+
"epoch": 52.0,
|
1197 |
+
"learning_rate": 1.192982456140351e-05,
|
1198 |
+
"loss": 0.7343,
|
1199 |
+
"step": 156
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 52.33,
|
1203 |
+
"learning_rate": 1.1871345029239766e-05,
|
1204 |
+
"loss": 0.4597,
|
1205 |
+
"step": 157
|
1206 |
+
},
|
1207 |
+
{
|
1208 |
+
"epoch": 52.67,
|
1209 |
+
"learning_rate": 1.1812865497076024e-05,
|
1210 |
+
"loss": 0.5019,
|
1211 |
+
"step": 158
|
1212 |
+
},
|
1213 |
+
{
|
1214 |
+
"epoch": 53.0,
|
1215 |
+
"learning_rate": 1.1754385964912282e-05,
|
1216 |
+
"loss": 0.4556,
|
1217 |
+
"step": 159
|
1218 |
+
},
|
1219 |
+
{
|
1220 |
+
"epoch": 53.33,
|
1221 |
+
"learning_rate": 1.1695906432748539e-05,
|
1222 |
+
"loss": 0.4713,
|
1223 |
+
"step": 160
|
1224 |
+
},
|
1225 |
+
{
|
1226 |
+
"epoch": 53.33,
|
1227 |
+
"eval_accuracy_dropoff": 0.3479047487766214,
|
1228 |
+
"eval_accuracy_undropoff": 0.9886552926888718,
|
1229 |
+
"eval_accuracy_unlabeled": NaN,
|
1230 |
+
"eval_iou_dropoff": 0.27947052255677257,
|
1231 |
+
"eval_iou_undropoff": 0.9596627946110987,
|
1232 |
+
"eval_iou_unlabeled": NaN,
|
1233 |
+
"eval_loss": 0.46686360239982605,
|
1234 |
+
"eval_mean_accuracy": 0.6682800207327466,
|
1235 |
+
"eval_mean_iou": 0.6195666585839357,
|
1236 |
+
"eval_overall_accuracy": 0.960284169514974,
|
1237 |
+
"eval_runtime": 1.8139,
|
1238 |
+
"eval_samples_per_second": 8.27,
|
1239 |
+
"eval_steps_per_second": 0.551,
|
1240 |
+
"step": 160
|
1241 |
+
},
|
1242 |
+
{
|
1243 |
+
"epoch": 53.67,
|
1244 |
+
"learning_rate": 1.1637426900584797e-05,
|
1245 |
+
"loss": 0.4486,
|
1246 |
+
"step": 161
|
1247 |
+
},
|
1248 |
+
{
|
1249 |
+
"epoch": 54.0,
|
1250 |
+
"learning_rate": 1.1578947368421053e-05,
|
1251 |
+
"loss": 0.7127,
|
1252 |
+
"step": 162
|
1253 |
+
},
|
1254 |
+
{
|
1255 |
+
"epoch": 54.33,
|
1256 |
+
"learning_rate": 1.1520467836257312e-05,
|
1257 |
+
"loss": 0.4508,
|
1258 |
+
"step": 163
|
1259 |
+
},
|
1260 |
+
{
|
1261 |
+
"epoch": 54.67,
|
1262 |
+
"learning_rate": 1.1461988304093568e-05,
|
1263 |
+
"loss": 0.4438,
|
1264 |
+
"step": 164
|
1265 |
+
},
|
1266 |
+
{
|
1267 |
+
"epoch": 55.0,
|
1268 |
+
"learning_rate": 1.1403508771929826e-05,
|
1269 |
+
"loss": 0.464,
|
1270 |
+
"step": 165
|
1271 |
+
},
|
1272 |
+
{
|
1273 |
+
"epoch": 55.33,
|
1274 |
+
"learning_rate": 1.1345029239766083e-05,
|
1275 |
+
"loss": 0.4426,
|
1276 |
+
"step": 166
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 55.67,
|
1280 |
+
"learning_rate": 1.128654970760234e-05,
|
1281 |
+
"loss": 0.4411,
|
1282 |
+
"step": 167
|
1283 |
+
},
|
1284 |
+
{
|
1285 |
+
"epoch": 56.0,
|
1286 |
+
"learning_rate": 1.1228070175438597e-05,
|
1287 |
+
"loss": 0.71,
|
1288 |
+
"step": 168
|
1289 |
+
},
|
1290 |
+
{
|
1291 |
+
"epoch": 56.33,
|
1292 |
+
"learning_rate": 1.1169590643274855e-05,
|
1293 |
+
"loss": 0.4387,
|
1294 |
+
"step": 169
|
1295 |
+
},
|
1296 |
+
{
|
1297 |
+
"epoch": 56.67,
|
1298 |
+
"learning_rate": 1.1111111111111113e-05,
|
1299 |
+
"loss": 0.4516,
|
1300 |
+
"step": 170
|
1301 |
+
},
|
1302 |
+
{
|
1303 |
+
"epoch": 56.67,
|
1304 |
+
"eval_accuracy_dropoff": 0.3265214694327659,
|
1305 |
+
"eval_accuracy_undropoff": 0.9906150846236295,
|
1306 |
+
"eval_accuracy_unlabeled": NaN,
|
1307 |
+
"eval_iou_dropoff": 0.2715210912425493,
|
1308 |
+
"eval_iou_undropoff": 0.9606413422410078,
|
1309 |
+
"eval_iou_unlabeled": 0.0,
|
1310 |
+
"eval_loss": 0.4485587179660797,
|
1311 |
+
"eval_mean_accuracy": 0.6585682770281976,
|
1312 |
+
"eval_mean_iou": 0.41072081116118575,
|
1313 |
+
"eval_overall_accuracy": 0.9612103780110677,
|
1314 |
+
"eval_runtime": 1.7967,
|
1315 |
+
"eval_samples_per_second": 8.349,
|
1316 |
+
"eval_steps_per_second": 0.557,
|
1317 |
+
"step": 170
|
1318 |
+
},
|
1319 |
+
{
|
1320 |
+
"epoch": 57.0,
|
1321 |
+
"learning_rate": 1.105263157894737e-05,
|
1322 |
+
"loss": 0.6996,
|
1323 |
+
"step": 171
|
1324 |
+
},
|
1325 |
+
{
|
1326 |
+
"epoch": 57.33,
|
1327 |
+
"learning_rate": 1.0994152046783626e-05,
|
1328 |
+
"loss": 0.456,
|
1329 |
+
"step": 172
|
1330 |
+
},
|
1331 |
+
{
|
1332 |
+
"epoch": 57.67,
|
1333 |
+
"learning_rate": 1.0935672514619884e-05,
|
1334 |
+
"loss": 0.4341,
|
1335 |
+
"step": 173
|
1336 |
+
},
|
1337 |
+
{
|
1338 |
+
"epoch": 58.0,
|
1339 |
+
"learning_rate": 1.0877192982456142e-05,
|
1340 |
+
"loss": 0.7256,
|
1341 |
+
"step": 174
|
1342 |
+
},
|
1343 |
+
{
|
1344 |
+
"epoch": 58.33,
|
1345 |
+
"learning_rate": 1.0818713450292399e-05,
|
1346 |
+
"loss": 0.4225,
|
1347 |
+
"step": 175
|
1348 |
+
},
|
1349 |
+
{
|
1350 |
+
"epoch": 58.67,
|
1351 |
+
"learning_rate": 1.0760233918128655e-05,
|
1352 |
+
"loss": 0.471,
|
1353 |
+
"step": 176
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 59.0,
|
1357 |
+
"learning_rate": 1.0701754385964913e-05,
|
1358 |
+
"loss": 0.4369,
|
1359 |
+
"step": 177
|
1360 |
+
},
|
1361 |
+
{
|
1362 |
+
"epoch": 59.33,
|
1363 |
+
"learning_rate": 1.0643274853801172e-05,
|
1364 |
+
"loss": 0.4481,
|
1365 |
+
"step": 178
|
1366 |
+
},
|
1367 |
+
{
|
1368 |
+
"epoch": 59.67,
|
1369 |
+
"learning_rate": 1.0584795321637428e-05,
|
1370 |
+
"loss": 0.4331,
|
1371 |
+
"step": 179
|
1372 |
+
},
|
1373 |
+
{
|
1374 |
+
"epoch": 60.0,
|
1375 |
+
"learning_rate": 1.0526315789473684e-05,
|
1376 |
+
"loss": 0.4059,
|
1377 |
+
"step": 180
|
1378 |
+
},
|
1379 |
+
{
|
1380 |
+
"epoch": 60.0,
|
1381 |
+
"eval_accuracy_dropoff": 0.31866427734509617,
|
1382 |
+
"eval_accuracy_undropoff": 0.9909349311824317,
|
1383 |
+
"eval_accuracy_unlabeled": NaN,
|
1384 |
+
"eval_iou_dropoff": 0.26651615227572956,
|
1385 |
+
"eval_iou_undropoff": 0.9606124109353421,
|
1386 |
+
"eval_iou_unlabeled": NaN,
|
1387 |
+
"eval_loss": 0.4360799789428711,
|
1388 |
+
"eval_mean_accuracy": 0.6547996042637639,
|
1389 |
+
"eval_mean_iou": 0.6135642816055358,
|
1390 |
+
"eval_overall_accuracy": 0.9611681620279948,
|
1391 |
+
"eval_runtime": 1.686,
|
1392 |
+
"eval_samples_per_second": 8.897,
|
1393 |
+
"eval_steps_per_second": 0.593,
|
1394 |
+
"step": 180
|
1395 |
+
},
|
1396 |
+
{
|
1397 |
+
"epoch": 60.33,
|
1398 |
+
"learning_rate": 1.0467836257309943e-05,
|
1399 |
+
"loss": 0.4479,
|
1400 |
+
"step": 181
|
1401 |
+
},
|
1402 |
+
{
|
1403 |
+
"epoch": 60.67,
|
1404 |
+
"learning_rate": 1.04093567251462e-05,
|
1405 |
+
"loss": 0.4304,
|
1406 |
+
"step": 182
|
1407 |
+
},
|
1408 |
+
{
|
1409 |
+
"epoch": 61.0,
|
1410 |
+
"learning_rate": 1.0350877192982459e-05,
|
1411 |
+
"loss": 0.4971,
|
1412 |
+
"step": 183
|
1413 |
+
},
|
1414 |
+
{
|
1415 |
+
"epoch": 61.33,
|
1416 |
+
"learning_rate": 1.0292397660818714e-05,
|
1417 |
+
"loss": 0.4302,
|
1418 |
+
"step": 184
|
1419 |
+
},
|
1420 |
+
{
|
1421 |
+
"epoch": 61.67,
|
1422 |
+
"learning_rate": 1.0233918128654972e-05,
|
1423 |
+
"loss": 0.4735,
|
1424 |
+
"step": 185
|
1425 |
+
},
|
1426 |
+
{
|
1427 |
+
"epoch": 62.0,
|
1428 |
+
"learning_rate": 1.017543859649123e-05,
|
1429 |
+
"loss": 0.3974,
|
1430 |
+
"step": 186
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 62.33,
|
1434 |
+
"learning_rate": 1.0116959064327488e-05,
|
1435 |
+
"loss": 0.4172,
|
1436 |
+
"step": 187
|
1437 |
+
},
|
1438 |
+
{
|
1439 |
+
"epoch": 62.67,
|
1440 |
+
"learning_rate": 1.0058479532163743e-05,
|
1441 |
+
"loss": 0.4458,
|
1442 |
+
"step": 188
|
1443 |
+
},
|
1444 |
+
{
|
1445 |
+
"epoch": 63.0,
|
1446 |
+
"learning_rate": 1e-05,
|
1447 |
+
"loss": 0.6849,
|
1448 |
+
"step": 189
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 63.33,
|
1452 |
+
"learning_rate": 9.941520467836257e-06,
|
1453 |
+
"loss": 0.4142,
|
1454 |
+
"step": 190
|
1455 |
+
},
|
1456 |
+
{
|
1457 |
+
"epoch": 63.33,
|
1458 |
+
"eval_accuracy_dropoff": 0.3088657614813794,
|
1459 |
+
"eval_accuracy_undropoff": 0.9917302900545283,
|
1460 |
+
"eval_accuracy_unlabeled": NaN,
|
1461 |
+
"eval_iou_dropoff": 0.2620841577885431,
|
1462 |
+
"eval_iou_undropoff": 0.9609605443916848,
|
1463 |
+
"eval_iou_unlabeled": NaN,
|
1464 |
+
"eval_loss": 0.42670688033103943,
|
1465 |
+
"eval_mean_accuracy": 0.6502980257679538,
|
1466 |
+
"eval_mean_iou": 0.611522351090114,
|
1467 |
+
"eval_overall_accuracy": 0.9614944458007812,
|
1468 |
+
"eval_runtime": 1.7659,
|
1469 |
+
"eval_samples_per_second": 8.494,
|
1470 |
+
"eval_steps_per_second": 0.566,
|
1471 |
+
"step": 190
|
1472 |
+
},
|
1473 |
+
{
|
1474 |
+
"epoch": 63.67,
|
1475 |
+
"learning_rate": 9.883040935672515e-06,
|
1476 |
+
"loss": 0.4708,
|
1477 |
+
"step": 191
|
1478 |
+
},
|
1479 |
+
{
|
1480 |
+
"epoch": 64.0,
|
1481 |
+
"learning_rate": 9.824561403508772e-06,
|
1482 |
+
"loss": 0.6601,
|
1483 |
+
"step": 192
|
1484 |
+
},
|
1485 |
+
{
|
1486 |
+
"epoch": 64.33,
|
1487 |
+
"learning_rate": 9.76608187134503e-06,
|
1488 |
+
"loss": 0.4291,
|
1489 |
+
"step": 193
|
1490 |
+
},
|
1491 |
+
{
|
1492 |
+
"epoch": 64.67,
|
1493 |
+
"learning_rate": 9.707602339181286e-06,
|
1494 |
+
"loss": 0.4169,
|
1495 |
+
"step": 194
|
1496 |
+
},
|
1497 |
+
{
|
1498 |
+
"epoch": 65.0,
|
1499 |
+
"learning_rate": 9.649122807017545e-06,
|
1500 |
+
"loss": 0.4025,
|
1501 |
+
"step": 195
|
1502 |
+
},
|
1503 |
+
{
|
1504 |
+
"epoch": 65.33,
|
1505 |
+
"learning_rate": 9.590643274853801e-06,
|
1506 |
+
"loss": 0.415,
|
1507 |
+
"step": 196
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 65.67,
|
1511 |
+
"learning_rate": 9.532163742690059e-06,
|
1512 |
+
"loss": 0.4125,
|
1513 |
+
"step": 197
|
1514 |
+
},
|
1515 |
+
{
|
1516 |
+
"epoch": 66.0,
|
1517 |
+
"learning_rate": 9.473684210526315e-06,
|
1518 |
+
"loss": 0.4011,
|
1519 |
+
"step": 198
|
1520 |
+
},
|
1521 |
+
{
|
1522 |
+
"epoch": 66.33,
|
1523 |
+
"learning_rate": 9.415204678362574e-06,
|
1524 |
+
"loss": 0.3921,
|
1525 |
+
"step": 199
|
1526 |
+
},
|
1527 |
+
{
|
1528 |
+
"epoch": 66.67,
|
1529 |
+
"learning_rate": 9.35672514619883e-06,
|
1530 |
+
"loss": 0.4393,
|
1531 |
+
"step": 200
|
1532 |
+
},
|
1533 |
+
{
|
1534 |
+
"epoch": 66.67,
|
1535 |
+
"eval_accuracy_dropoff": 0.2767822271233947,
|
1536 |
+
"eval_accuracy_undropoff": 0.9940290874101795,
|
1537 |
+
"eval_accuracy_unlabeled": NaN,
|
1538 |
+
"eval_iou_dropoff": 0.24518308597943494,
|
1539 |
+
"eval_iou_undropoff": 0.9618027430695911,
|
1540 |
+
"eval_iou_unlabeled": NaN,
|
1541 |
+
"eval_loss": 0.4188476800918579,
|
1542 |
+
"eval_mean_accuracy": 0.6354056572667871,
|
1543 |
+
"eval_mean_iou": 0.603492914524513,
|
1544 |
+
"eval_overall_accuracy": 0.9622708638509114,
|
1545 |
+
"eval_runtime": 1.8501,
|
1546 |
+
"eval_samples_per_second": 8.108,
|
1547 |
+
"eval_steps_per_second": 0.541,
|
1548 |
+
"step": 200
|
1549 |
+
},
|
1550 |
+
{
|
1551 |
+
"epoch": 67.0,
|
1552 |
+
"learning_rate": 9.298245614035088e-06,
|
1553 |
+
"loss": 0.669,
|
1554 |
+
"step": 201
|
1555 |
+
},
|
1556 |
+
{
|
1557 |
+
"epoch": 67.33,
|
1558 |
+
"learning_rate": 9.239766081871345e-06,
|
1559 |
+
"loss": 0.4048,
|
1560 |
+
"step": 202
|
1561 |
+
},
|
1562 |
+
{
|
1563 |
+
"epoch": 67.67,
|
1564 |
+
"learning_rate": 9.181286549707603e-06,
|
1565 |
+
"loss": 0.4138,
|
1566 |
+
"step": 203
|
1567 |
+
},
|
1568 |
+
{
|
1569 |
+
"epoch": 68.0,
|
1570 |
+
"learning_rate": 9.12280701754386e-06,
|
1571 |
+
"loss": 0.3792,
|
1572 |
+
"step": 204
|
1573 |
+
},
|
1574 |
+
{
|
1575 |
+
"epoch": 68.33,
|
1576 |
+
"learning_rate": 9.064327485380117e-06,
|
1577 |
+
"loss": 0.4212,
|
1578 |
+
"step": 205
|
1579 |
+
},
|
1580 |
+
{
|
1581 |
+
"epoch": 68.67,
|
1582 |
+
"learning_rate": 9.005847953216374e-06,
|
1583 |
+
"loss": 0.4216,
|
1584 |
+
"step": 206
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 69.0,
|
1588 |
+
"learning_rate": 8.947368421052632e-06,
|
1589 |
+
"loss": 0.6528,
|
1590 |
+
"step": 207
|
1591 |
+
},
|
1592 |
+
{
|
1593 |
+
"epoch": 69.33,
|
1594 |
+
"learning_rate": 8.888888888888888e-06,
|
1595 |
+
"loss": 0.4081,
|
1596 |
+
"step": 208
|
1597 |
+
},
|
1598 |
+
{
|
1599 |
+
"epoch": 69.67,
|
1600 |
+
"learning_rate": 8.830409356725146e-06,
|
1601 |
+
"loss": 0.4353,
|
1602 |
+
"step": 209
|
1603 |
+
},
|
1604 |
+
{
|
1605 |
+
"epoch": 70.0,
|
1606 |
+
"learning_rate": 8.771929824561405e-06,
|
1607 |
+
"loss": 0.4071,
|
1608 |
+
"step": 210
|
1609 |
+
},
|
1610 |
+
{
|
1611 |
+
"epoch": 70.0,
|
1612 |
+
"eval_accuracy_dropoff": 0.31381096790497853,
|
1613 |
+
"eval_accuracy_undropoff": 0.9917361441512784,
|
1614 |
+
"eval_accuracy_unlabeled": NaN,
|
1615 |
+
"eval_iou_dropoff": 0.2663089040962352,
|
1616 |
+
"eval_iou_undropoff": 0.9611795984188876,
|
1617 |
+
"eval_iou_unlabeled": NaN,
|
1618 |
+
"eval_loss": 0.422432005405426,
|
1619 |
+
"eval_mean_accuracy": 0.6527735560281285,
|
1620 |
+
"eval_mean_iou": 0.6137442512575614,
|
1621 |
+
"eval_overall_accuracy": 0.961719004313151,
|
1622 |
+
"eval_runtime": 1.7566,
|
1623 |
+
"eval_samples_per_second": 8.539,
|
1624 |
+
"eval_steps_per_second": 0.569,
|
1625 |
+
"step": 210
|
1626 |
+
},
|
1627 |
+
{
|
1628 |
+
"epoch": 70.33,
|
1629 |
+
"learning_rate": 8.713450292397661e-06,
|
1630 |
+
"loss": 0.3994,
|
1631 |
+
"step": 211
|
1632 |
+
},
|
1633 |
+
{
|
1634 |
+
"epoch": 70.67,
|
1635 |
+
"learning_rate": 8.654970760233919e-06,
|
1636 |
+
"loss": 0.4181,
|
1637 |
+
"step": 212
|
1638 |
+
},
|
1639 |
+
{
|
1640 |
+
"epoch": 71.0,
|
1641 |
+
"learning_rate": 8.596491228070176e-06,
|
1642 |
+
"loss": 0.6651,
|
1643 |
+
"step": 213
|
1644 |
+
},
|
1645 |
+
{
|
1646 |
+
"epoch": 71.33,
|
1647 |
+
"learning_rate": 8.538011695906434e-06,
|
1648 |
+
"loss": 0.4053,
|
1649 |
+
"step": 214
|
1650 |
+
},
|
1651 |
+
{
|
1652 |
+
"epoch": 71.67,
|
1653 |
+
"learning_rate": 8.47953216374269e-06,
|
1654 |
+
"loss": 0.4051,
|
1655 |
+
"step": 215
|
1656 |
+
},
|
1657 |
+
{
|
1658 |
+
"epoch": 72.0,
|
1659 |
+
"learning_rate": 8.421052631578948e-06,
|
1660 |
+
"loss": 0.6544,
|
1661 |
+
"step": 216
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 72.33,
|
1665 |
+
"learning_rate": 8.362573099415205e-06,
|
1666 |
+
"loss": 0.3965,
|
1667 |
+
"step": 217
|
1668 |
+
},
|
1669 |
+
{
|
1670 |
+
"epoch": 72.67,
|
1671 |
+
"learning_rate": 8.304093567251463e-06,
|
1672 |
+
"loss": 0.4129,
|
1673 |
+
"step": 218
|
1674 |
+
},
|
1675 |
+
{
|
1676 |
+
"epoch": 73.0,
|
1677 |
+
"learning_rate": 8.24561403508772e-06,
|
1678 |
+
"loss": 0.629,
|
1679 |
+
"step": 219
|
1680 |
+
},
|
1681 |
+
{
|
1682 |
+
"epoch": 73.33,
|
1683 |
+
"learning_rate": 8.187134502923977e-06,
|
1684 |
+
"loss": 0.4009,
|
1685 |
+
"step": 220
|
1686 |
+
},
|
1687 |
+
{
|
1688 |
+
"epoch": 73.33,
|
1689 |
+
"eval_accuracy_dropoff": 0.3167344406919843,
|
1690 |
+
"eval_accuracy_undropoff": 0.991247327072643,
|
1691 |
+
"eval_accuracy_unlabeled": NaN,
|
1692 |
+
"eval_iou_dropoff": 0.2664045101231395,
|
1693 |
+
"eval_iou_undropoff": 0.9608319701708583,
|
1694 |
+
"eval_iou_unlabeled": NaN,
|
1695 |
+
"eval_loss": 0.42051607370376587,
|
1696 |
+
"eval_mean_accuracy": 0.6539908838823136,
|
1697 |
+
"eval_mean_iou": 0.613618240146999,
|
1698 |
+
"eval_overall_accuracy": 0.9613812764485677,
|
1699 |
+
"eval_runtime": 1.867,
|
1700 |
+
"eval_samples_per_second": 8.034,
|
1701 |
+
"eval_steps_per_second": 0.536,
|
1702 |
+
"step": 220
|
1703 |
+
},
|
1704 |
+
{
|
1705 |
+
"epoch": 73.67,
|
1706 |
+
"learning_rate": 8.128654970760235e-06,
|
1707 |
+
"loss": 0.3928,
|
1708 |
+
"step": 221
|
1709 |
+
},
|
1710 |
+
{
|
1711 |
+
"epoch": 74.0,
|
1712 |
+
"learning_rate": 8.070175438596492e-06,
|
1713 |
+
"loss": 0.4003,
|
1714 |
+
"step": 222
|
1715 |
+
},
|
1716 |
+
{
|
1717 |
+
"epoch": 74.33,
|
1718 |
+
"learning_rate": 8.01169590643275e-06,
|
1719 |
+
"loss": 0.4068,
|
1720 |
+
"step": 223
|
1721 |
+
},
|
1722 |
+
{
|
1723 |
+
"epoch": 74.67,
|
1724 |
+
"learning_rate": 7.953216374269006e-06,
|
1725 |
+
"loss": 0.3951,
|
1726 |
+
"step": 224
|
1727 |
+
},
|
1728 |
+
{
|
1729 |
+
"epoch": 75.0,
|
1730 |
+
"learning_rate": 7.894736842105265e-06,
|
1731 |
+
"loss": 0.3757,
|
1732 |
+
"step": 225
|
1733 |
+
},
|
1734 |
+
{
|
1735 |
+
"epoch": 75.33,
|
1736 |
+
"learning_rate": 7.836257309941521e-06,
|
1737 |
+
"loss": 0.4151,
|
1738 |
+
"step": 226
|
1739 |
+
},
|
1740 |
+
{
|
1741 |
+
"epoch": 75.67,
|
1742 |
+
"learning_rate": 7.77777777777778e-06,
|
1743 |
+
"loss": 0.3908,
|
1744 |
+
"step": 227
|
1745 |
+
},
|
1746 |
+
{
|
1747 |
+
"epoch": 76.0,
|
1748 |
+
"learning_rate": 7.719298245614036e-06,
|
1749 |
+
"loss": 0.3951,
|
1750 |
+
"step": 228
|
1751 |
+
},
|
1752 |
+
{
|
1753 |
+
"epoch": 76.33,
|
1754 |
+
"learning_rate": 7.660818713450294e-06,
|
1755 |
+
"loss": 0.3945,
|
1756 |
+
"step": 229
|
1757 |
+
},
|
1758 |
+
{
|
1759 |
+
"epoch": 76.67,
|
1760 |
+
"learning_rate": 7.60233918128655e-06,
|
1761 |
+
"loss": 0.4043,
|
1762 |
+
"step": 230
|
1763 |
+
},
|
1764 |
+
{
|
1765 |
+
"epoch": 76.67,
|
1766 |
+
"eval_accuracy_dropoff": 0.3107553932042181,
|
1767 |
+
"eval_accuracy_undropoff": 0.9920240592732618,
|
1768 |
+
"eval_accuracy_unlabeled": NaN,
|
1769 |
+
"eval_iou_dropoff": 0.265114022794759,
|
1770 |
+
"eval_iou_undropoff": 0.961326747557732,
|
1771 |
+
"eval_iou_unlabeled": NaN,
|
1772 |
+
"eval_loss": 0.4147787392139435,
|
1773 |
+
"eval_mean_accuracy": 0.6513897262387399,
|
1774 |
+
"eval_mean_iou": 0.6132203851762454,
|
1775 |
+
"eval_overall_accuracy": 0.9618588765462239,
|
1776 |
+
"eval_runtime": 1.7618,
|
1777 |
+
"eval_samples_per_second": 8.514,
|
1778 |
+
"eval_steps_per_second": 0.568,
|
1779 |
+
"step": 230
|
1780 |
+
},
|
1781 |
+
{
|
1782 |
+
"epoch": 77.0,
|
1783 |
+
"learning_rate": 7.5438596491228074e-06,
|
1784 |
+
"loss": 0.3996,
|
1785 |
+
"step": 231
|
1786 |
+
},
|
1787 |
+
{
|
1788 |
+
"epoch": 77.33,
|
1789 |
+
"learning_rate": 7.485380116959065e-06,
|
1790 |
+
"loss": 0.3915,
|
1791 |
+
"step": 232
|
1792 |
+
},
|
1793 |
+
{
|
1794 |
+
"epoch": 77.67,
|
1795 |
+
"learning_rate": 7.426900584795322e-06,
|
1796 |
+
"loss": 0.3897,
|
1797 |
+
"step": 233
|
1798 |
+
},
|
1799 |
+
{
|
1800 |
+
"epoch": 78.0,
|
1801 |
+
"learning_rate": 7.368421052631579e-06,
|
1802 |
+
"loss": 0.6263,
|
1803 |
+
"step": 234
|
1804 |
+
},
|
1805 |
+
{
|
1806 |
+
"epoch": 78.33,
|
1807 |
+
"learning_rate": 7.309941520467837e-06,
|
1808 |
+
"loss": 0.3799,
|
1809 |
+
"step": 235
|
1810 |
+
},
|
1811 |
+
{
|
1812 |
+
"epoch": 78.67,
|
1813 |
+
"learning_rate": 7.251461988304094e-06,
|
1814 |
+
"loss": 0.426,
|
1815 |
+
"step": 236
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 79.0,
|
1819 |
+
"learning_rate": 7.192982456140352e-06,
|
1820 |
+
"loss": 0.3634,
|
1821 |
+
"step": 237
|
1822 |
+
},
|
1823 |
+
{
|
1824 |
+
"epoch": 79.33,
|
1825 |
+
"learning_rate": 7.134502923976608e-06,
|
1826 |
+
"loss": 0.3855,
|
1827 |
+
"step": 238
|
1828 |
+
},
|
1829 |
+
{
|
1830 |
+
"epoch": 79.67,
|
1831 |
+
"learning_rate": 7.0760233918128665e-06,
|
1832 |
+
"loss": 0.3971,
|
1833 |
+
"step": 239
|
1834 |
+
},
|
1835 |
+
{
|
1836 |
+
"epoch": 80.0,
|
1837 |
+
"learning_rate": 7.017543859649123e-06,
|
1838 |
+
"loss": 0.6302,
|
1839 |
+
"step": 240
|
1840 |
+
},
|
1841 |
+
{
|
1842 |
+
"epoch": 80.0,
|
1843 |
+
"eval_accuracy_dropoff": 0.3104911893767087,
|
1844 |
+
"eval_accuracy_undropoff": 0.9920998964357066,
|
1845 |
+
"eval_accuracy_unlabeled": NaN,
|
1846 |
+
"eval_iou_dropoff": 0.26525905680652806,
|
1847 |
+
"eval_iou_undropoff": 0.9613888343805383,
|
1848 |
+
"eval_iou_unlabeled": NaN,
|
1849 |
+
"eval_loss": 0.41156673431396484,
|
1850 |
+
"eval_mean_accuracy": 0.6512955429062077,
|
1851 |
+
"eval_mean_iou": 0.6133239455935332,
|
1852 |
+
"eval_overall_accuracy": 0.961919657389323,
|
1853 |
+
"eval_runtime": 1.7273,
|
1854 |
+
"eval_samples_per_second": 8.684,
|
1855 |
+
"eval_steps_per_second": 0.579,
|
1856 |
+
"step": 240
|
1857 |
+
},
|
1858 |
+
{
|
1859 |
+
"epoch": 80.33,
|
1860 |
+
"learning_rate": 6.959064327485381e-06,
|
1861 |
+
"loss": 0.3876,
|
1862 |
+
"step": 241
|
1863 |
+
},
|
1864 |
+
{
|
1865 |
+
"epoch": 80.67,
|
1866 |
+
"learning_rate": 6.9005847953216375e-06,
|
1867 |
+
"loss": 0.3886,
|
1868 |
+
"step": 242
|
1869 |
+
},
|
1870 |
+
{
|
1871 |
+
"epoch": 81.0,
|
1872 |
+
"learning_rate": 6.842105263157896e-06,
|
1873 |
+
"loss": 0.3851,
|
1874 |
+
"step": 243
|
1875 |
+
},
|
1876 |
+
{
|
1877 |
+
"epoch": 81.33,
|
1878 |
+
"learning_rate": 6.783625730994152e-06,
|
1879 |
+
"loss": 0.3875,
|
1880 |
+
"step": 244
|
1881 |
+
},
|
1882 |
+
{
|
1883 |
+
"epoch": 81.67,
|
1884 |
+
"learning_rate": 6.72514619883041e-06,
|
1885 |
+
"loss": 0.3796,
|
1886 |
+
"step": 245
|
1887 |
+
},
|
1888 |
+
{
|
1889 |
+
"epoch": 82.0,
|
1890 |
+
"learning_rate": 6.666666666666667e-06,
|
1891 |
+
"loss": 0.6854,
|
1892 |
+
"step": 246
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 82.33,
|
1896 |
+
"learning_rate": 6.608187134502925e-06,
|
1897 |
+
"loss": 0.3814,
|
1898 |
+
"step": 247
|
1899 |
+
},
|
1900 |
+
{
|
1901 |
+
"epoch": 82.67,
|
1902 |
+
"learning_rate": 6.549707602339181e-06,
|
1903 |
+
"loss": 0.3889,
|
1904 |
+
"step": 248
|
1905 |
+
},
|
1906 |
+
{
|
1907 |
+
"epoch": 83.0,
|
1908 |
+
"learning_rate": 6.491228070175439e-06,
|
1909 |
+
"loss": 0.3922,
|
1910 |
+
"step": 249
|
1911 |
+
},
|
1912 |
+
{
|
1913 |
+
"epoch": 83.33,
|
1914 |
+
"learning_rate": 6.432748538011696e-06,
|
1915 |
+
"loss": 0.3859,
|
1916 |
+
"step": 250
|
1917 |
+
},
|
1918 |
+
{
|
1919 |
+
"epoch": 83.33,
|
1920 |
+
"eval_accuracy_dropoff": 0.3173777195763549,
|
1921 |
+
"eval_accuracy_undropoff": 0.9913138508993489,
|
1922 |
+
"eval_accuracy_unlabeled": NaN,
|
1923 |
+
"eval_iou_dropoff": 0.26726835662221704,
|
1924 |
+
"eval_iou_undropoff": 0.9609242121673439,
|
1925 |
+
"eval_iou_unlabeled": NaN,
|
1926 |
+
"eval_loss": 0.4113296866416931,
|
1927 |
+
"eval_mean_accuracy": 0.6543457852378519,
|
1928 |
+
"eval_mean_iou": 0.6140962843947805,
|
1929 |
+
"eval_overall_accuracy": 0.9614733378092448,
|
1930 |
+
"eval_runtime": 1.7765,
|
1931 |
+
"eval_samples_per_second": 8.444,
|
1932 |
+
"eval_steps_per_second": 0.563,
|
1933 |
+
"step": 250
|
1934 |
+
},
|
1935 |
+
{
|
1936 |
+
"epoch": 83.67,
|
1937 |
+
"learning_rate": 6.374269005847954e-06,
|
1938 |
+
"loss": 0.3859,
|
1939 |
+
"step": 251
|
1940 |
+
},
|
1941 |
+
{
|
1942 |
+
"epoch": 84.0,
|
1943 |
+
"learning_rate": 6.31578947368421e-06,
|
1944 |
+
"loss": 0.3474,
|
1945 |
+
"step": 252
|
1946 |
+
},
|
1947 |
+
{
|
1948 |
+
"epoch": 84.33,
|
1949 |
+
"learning_rate": 6.2573099415204685e-06,
|
1950 |
+
"loss": 0.377,
|
1951 |
+
"step": 253
|
1952 |
+
},
|
1953 |
+
{
|
1954 |
+
"epoch": 84.67,
|
1955 |
+
"learning_rate": 6.198830409356725e-06,
|
1956 |
+
"loss": 0.4041,
|
1957 |
+
"step": 254
|
1958 |
+
},
|
1959 |
+
{
|
1960 |
+
"epoch": 85.0,
|
1961 |
+
"learning_rate": 6.140350877192983e-06,
|
1962 |
+
"loss": 0.3824,
|
1963 |
+
"step": 255
|
1964 |
+
},
|
1965 |
+
{
|
1966 |
+
"epoch": 85.33,
|
1967 |
+
"learning_rate": 6.08187134502924e-06,
|
1968 |
+
"loss": 0.4135,
|
1969 |
+
"step": 256
|
1970 |
+
},
|
1971 |
+
{
|
1972 |
+
"epoch": 85.67,
|
1973 |
+
"learning_rate": 6.023391812865498e-06,
|
1974 |
+
"loss": 0.3715,
|
1975 |
+
"step": 257
|
1976 |
+
},
|
1977 |
+
{
|
1978 |
+
"epoch": 86.0,
|
1979 |
+
"learning_rate": 5.964912280701755e-06,
|
1980 |
+
"loss": 0.3602,
|
1981 |
+
"step": 258
|
1982 |
+
},
|
1983 |
+
{
|
1984 |
+
"epoch": 86.33,
|
1985 |
+
"learning_rate": 5.906432748538012e-06,
|
1986 |
+
"loss": 0.3684,
|
1987 |
+
"step": 259
|
1988 |
+
},
|
1989 |
+
{
|
1990 |
+
"epoch": 86.67,
|
1991 |
+
"learning_rate": 5.847953216374269e-06,
|
1992 |
+
"loss": 0.3791,
|
1993 |
+
"step": 260
|
1994 |
+
},
|
1995 |
+
{
|
1996 |
+
"epoch": 86.67,
|
1997 |
+
"eval_accuracy_dropoff": 0.278223861051761,
|
1998 |
+
"eval_accuracy_undropoff": 0.9940320144585546,
|
1999 |
+
"eval_accuracy_unlabeled": NaN,
|
2000 |
+
"eval_iou_dropoff": 0.24647392844059104,
|
2001 |
+
"eval_iou_undropoff": 0.9618677355390541,
|
2002 |
+
"eval_iou_unlabeled": NaN,
|
2003 |
+
"eval_loss": 0.4033331573009491,
|
2004 |
+
"eval_mean_accuracy": 0.6361279377551579,
|
2005 |
+
"eval_mean_iou": 0.6041708319898226,
|
2006 |
+
"eval_overall_accuracy": 0.9623374938964844,
|
2007 |
+
"eval_runtime": 1.68,
|
2008 |
+
"eval_samples_per_second": 8.928,
|
2009 |
+
"eval_steps_per_second": 0.595,
|
2010 |
+
"step": 260
|
2011 |
+
},
|
2012 |
+
{
|
2013 |
+
"epoch": 87.0,
|
2014 |
+
"learning_rate": 5.789473684210527e-06,
|
2015 |
+
"loss": 0.6619,
|
2016 |
+
"step": 261
|
2017 |
+
},
|
2018 |
+
{
|
2019 |
+
"epoch": 87.33,
|
2020 |
+
"learning_rate": 5.730994152046784e-06,
|
2021 |
+
"loss": 0.3884,
|
2022 |
+
"step": 262
|
2023 |
+
},
|
2024 |
+
{
|
2025 |
+
"epoch": 87.67,
|
2026 |
+
"learning_rate": 5.672514619883041e-06,
|
2027 |
+
"loss": 0.3966,
|
2028 |
+
"step": 263
|
2029 |
+
},
|
2030 |
+
{
|
2031 |
+
"epoch": 88.0,
|
2032 |
+
"learning_rate": 5.6140350877192985e-06,
|
2033 |
+
"loss": 0.3558,
|
2034 |
+
"step": 264
|
2035 |
+
},
|
2036 |
+
{
|
2037 |
+
"epoch": 88.33,
|
2038 |
+
"learning_rate": 5.555555555555557e-06,
|
2039 |
+
"loss": 0.3794,
|
2040 |
+
"step": 265
|
2041 |
+
},
|
2042 |
+
{
|
2043 |
+
"epoch": 88.67,
|
2044 |
+
"learning_rate": 5.497076023391813e-06,
|
2045 |
+
"loss": 0.3904,
|
2046 |
+
"step": 266
|
2047 |
+
},
|
2048 |
+
{
|
2049 |
+
"epoch": 89.0,
|
2050 |
+
"learning_rate": 5.438596491228071e-06,
|
2051 |
+
"loss": 0.3461,
|
2052 |
+
"step": 267
|
2053 |
+
},
|
2054 |
+
{
|
2055 |
+
"epoch": 89.33,
|
2056 |
+
"learning_rate": 5.380116959064328e-06,
|
2057 |
+
"loss": 0.3826,
|
2058 |
+
"step": 268
|
2059 |
+
},
|
2060 |
+
{
|
2061 |
+
"epoch": 89.67,
|
2062 |
+
"learning_rate": 5.321637426900586e-06,
|
2063 |
+
"loss": 0.3937,
|
2064 |
+
"step": 269
|
2065 |
+
},
|
2066 |
+
{
|
2067 |
+
"epoch": 90.0,
|
2068 |
+
"learning_rate": 5.263157894736842e-06,
|
2069 |
+
"loss": 0.5716,
|
2070 |
+
"step": 270
|
2071 |
+
},
|
2072 |
+
{
|
2073 |
+
"epoch": 90.0,
|
2074 |
+
"eval_accuracy_dropoff": 0.3237243549980472,
|
2075 |
+
"eval_accuracy_undropoff": 0.9912779280329277,
|
2076 |
+
"eval_accuracy_unlabeled": NaN,
|
2077 |
+
"eval_iou_dropoff": 0.27243506085477026,
|
2078 |
+
"eval_iou_undropoff": 0.9611633426621673,
|
2079 |
+
"eval_iou_unlabeled": NaN,
|
2080 |
+
"eval_loss": 0.4087795615196228,
|
2081 |
+
"eval_mean_accuracy": 0.6575011415154874,
|
2082 |
+
"eval_mean_iou": 0.6167992017584688,
|
2083 |
+
"eval_overall_accuracy": 0.9617200215657552,
|
2084 |
+
"eval_runtime": 1.8296,
|
2085 |
+
"eval_samples_per_second": 8.199,
|
2086 |
+
"eval_steps_per_second": 0.547,
|
2087 |
+
"step": 270
|
2088 |
+
},
|
2089 |
+
{
|
2090 |
+
"epoch": 90.33,
|
2091 |
+
"learning_rate": 5.2046783625731e-06,
|
2092 |
+
"loss": 0.3782,
|
2093 |
+
"step": 271
|
2094 |
+
},
|
2095 |
+
{
|
2096 |
+
"epoch": 90.67,
|
2097 |
+
"learning_rate": 5.146198830409357e-06,
|
2098 |
+
"loss": 0.3905,
|
2099 |
+
"step": 272
|
2100 |
+
},
|
2101 |
+
{
|
2102 |
+
"epoch": 91.0,
|
2103 |
+
"learning_rate": 5.087719298245615e-06,
|
2104 |
+
"loss": 0.6109,
|
2105 |
+
"step": 273
|
2106 |
+
},
|
2107 |
+
{
|
2108 |
+
"epoch": 91.33,
|
2109 |
+
"learning_rate": 5.029239766081871e-06,
|
2110 |
+
"loss": 0.3883,
|
2111 |
+
"step": 274
|
2112 |
+
},
|
2113 |
+
{
|
2114 |
+
"epoch": 91.67,
|
2115 |
+
"learning_rate": 4.970760233918129e-06,
|
2116 |
+
"loss": 0.3683,
|
2117 |
+
"step": 275
|
2118 |
+
},
|
2119 |
+
{
|
2120 |
+
"epoch": 92.0,
|
2121 |
+
"learning_rate": 4.912280701754386e-06,
|
2122 |
+
"loss": 0.3911,
|
2123 |
+
"step": 276
|
2124 |
+
},
|
2125 |
+
{
|
2126 |
+
"epoch": 92.33,
|
2127 |
+
"learning_rate": 4.853801169590643e-06,
|
2128 |
+
"loss": 0.3763,
|
2129 |
+
"step": 277
|
2130 |
+
},
|
2131 |
+
{
|
2132 |
+
"epoch": 92.67,
|
2133 |
+
"learning_rate": 4.7953216374269005e-06,
|
2134 |
+
"loss": 0.3672,
|
2135 |
+
"step": 278
|
2136 |
+
},
|
2137 |
+
{
|
2138 |
+
"epoch": 93.0,
|
2139 |
+
"learning_rate": 4.736842105263158e-06,
|
2140 |
+
"loss": 0.4146,
|
2141 |
+
"step": 279
|
2142 |
+
},
|
2143 |
+
{
|
2144 |
+
"epoch": 93.33,
|
2145 |
+
"learning_rate": 4.678362573099415e-06,
|
2146 |
+
"loss": 0.3803,
|
2147 |
+
"step": 280
|
2148 |
+
},
|
2149 |
+
{
|
2150 |
+
"epoch": 93.33,
|
2151 |
+
"eval_accuracy_dropoff": 0.32113975233762954,
|
2152 |
+
"eval_accuracy_undropoff": 0.991769938255245,
|
2153 |
+
"eval_accuracy_unlabeled": NaN,
|
2154 |
+
"eval_iou_dropoff": 0.27269712295829535,
|
2155 |
+
"eval_iou_undropoff": 0.9615287673876304,
|
2156 |
+
"eval_iou_unlabeled": NaN,
|
2157 |
+
"eval_loss": 0.4023641347885132,
|
2158 |
+
"eval_mean_accuracy": 0.6564548452964373,
|
2159 |
+
"eval_mean_iou": 0.6171129451729629,
|
2160 |
+
"eval_overall_accuracy": 0.9620758056640625,
|
2161 |
+
"eval_runtime": 1.8601,
|
2162 |
+
"eval_samples_per_second": 8.064,
|
2163 |
+
"eval_steps_per_second": 0.538,
|
2164 |
+
"step": 280
|
2165 |
+
}
|
2166 |
+
],
|
2167 |
+
"max_steps": 360,
|
2168 |
+
"num_train_epochs": 120,
|
2169 |
+
"total_flos": 5.570769653858304e+16,
|
2170 |
+
"trial_name": null,
|
2171 |
+
"trial_params": null
|
2172 |
+
}
|
{checkpoint-80 β checkpoint-280}/training_args.bin
RENAMED
File without changes
|
checkpoint-80/trainer_state.json
DELETED
@@ -1,632 +0,0 @@
|
|
1 |
-
{
|
2 |
-
"best_metric": 0.6331071257591248,
|
3 |
-
"best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/dropoff-utcustom-train-SF-RGB-b0_3/checkpoint-80",
|
4 |
-
"epoch": 26.666666666666668,
|
5 |
-
"global_step": 80,
|
6 |
-
"is_hyper_param_search": false,
|
7 |
-
"is_local_process_zero": true,
|
8 |
-
"is_world_process_zero": true,
|
9 |
-
"log_history": [
|
10 |
-
{
|
11 |
-
"epoch": 0.33,
|
12 |
-
"learning_rate": 1.111111111111111e-06,
|
13 |
-
"loss": 1.1153,
|
14 |
-
"step": 1
|
15 |
-
},
|
16 |
-
{
|
17 |
-
"epoch": 0.67,
|
18 |
-
"learning_rate": 2.222222222222222e-06,
|
19 |
-
"loss": 1.1199,
|
20 |
-
"step": 2
|
21 |
-
},
|
22 |
-
{
|
23 |
-
"epoch": 1.0,
|
24 |
-
"learning_rate": 3.3333333333333333e-06,
|
25 |
-
"loss": 1.1156,
|
26 |
-
"step": 3
|
27 |
-
},
|
28 |
-
{
|
29 |
-
"epoch": 1.33,
|
30 |
-
"learning_rate": 4.444444444444444e-06,
|
31 |
-
"loss": 1.1182,
|
32 |
-
"step": 4
|
33 |
-
},
|
34 |
-
{
|
35 |
-
"epoch": 1.67,
|
36 |
-
"learning_rate": 5.555555555555557e-06,
|
37 |
-
"loss": 1.1161,
|
38 |
-
"step": 5
|
39 |
-
},
|
40 |
-
{
|
41 |
-
"epoch": 2.0,
|
42 |
-
"learning_rate": 6.666666666666667e-06,
|
43 |
-
"loss": 1.1106,
|
44 |
-
"step": 6
|
45 |
-
},
|
46 |
-
{
|
47 |
-
"epoch": 2.33,
|
48 |
-
"learning_rate": 7.77777777777778e-06,
|
49 |
-
"loss": 1.1141,
|
50 |
-
"step": 7
|
51 |
-
},
|
52 |
-
{
|
53 |
-
"epoch": 2.67,
|
54 |
-
"learning_rate": 8.888888888888888e-06,
|
55 |
-
"loss": 1.1085,
|
56 |
-
"step": 8
|
57 |
-
},
|
58 |
-
{
|
59 |
-
"epoch": 3.0,
|
60 |
-
"learning_rate": 1e-05,
|
61 |
-
"loss": 1.0992,
|
62 |
-
"step": 9
|
63 |
-
},
|
64 |
-
{
|
65 |
-
"epoch": 3.33,
|
66 |
-
"learning_rate": 1.1111111111111113e-05,
|
67 |
-
"loss": 1.1015,
|
68 |
-
"step": 10
|
69 |
-
},
|
70 |
-
{
|
71 |
-
"epoch": 3.33,
|
72 |
-
"eval_accuracy_dropoff": 0.5975256737197602,
|
73 |
-
"eval_accuracy_undropoff": 0.31695782815139334,
|
74 |
-
"eval_accuracy_unlabeled": NaN,
|
75 |
-
"eval_iou_dropoff": 0.04272275097162494,
|
76 |
-
"eval_iou_undropoff": 0.3123742688218148,
|
77 |
-
"eval_iou_unlabeled": 0.0,
|
78 |
-
"eval_loss": 1.0990227460861206,
|
79 |
-
"eval_mean_accuracy": 0.45724175093557673,
|
80 |
-
"eval_mean_iou": 0.1183656732644799,
|
81 |
-
"eval_overall_accuracy": 0.32938079833984374,
|
82 |
-
"eval_runtime": 1.6795,
|
83 |
-
"eval_samples_per_second": 8.931,
|
84 |
-
"eval_steps_per_second": 0.595,
|
85 |
-
"step": 10
|
86 |
-
},
|
87 |
-
{
|
88 |
-
"epoch": 3.67,
|
89 |
-
"learning_rate": 1.2222222222222224e-05,
|
90 |
-
"loss": 1.102,
|
91 |
-
"step": 11
|
92 |
-
},
|
93 |
-
{
|
94 |
-
"epoch": 4.0,
|
95 |
-
"learning_rate": 1.3333333333333333e-05,
|
96 |
-
"loss": 1.0912,
|
97 |
-
"step": 12
|
98 |
-
},
|
99 |
-
{
|
100 |
-
"epoch": 4.33,
|
101 |
-
"learning_rate": 1.4444444444444446e-05,
|
102 |
-
"loss": 1.0939,
|
103 |
-
"step": 13
|
104 |
-
},
|
105 |
-
{
|
106 |
-
"epoch": 4.67,
|
107 |
-
"learning_rate": 1.555555555555556e-05,
|
108 |
-
"loss": 1.0846,
|
109 |
-
"step": 14
|
110 |
-
},
|
111 |
-
{
|
112 |
-
"epoch": 5.0,
|
113 |
-
"learning_rate": 1.6666666666666667e-05,
|
114 |
-
"loss": 1.0804,
|
115 |
-
"step": 15
|
116 |
-
},
|
117 |
-
{
|
118 |
-
"epoch": 5.33,
|
119 |
-
"learning_rate": 1.7777777777777777e-05,
|
120 |
-
"loss": 1.0734,
|
121 |
-
"step": 16
|
122 |
-
},
|
123 |
-
{
|
124 |
-
"epoch": 5.67,
|
125 |
-
"learning_rate": 1.888888888888889e-05,
|
126 |
-
"loss": 1.0642,
|
127 |
-
"step": 17
|
128 |
-
},
|
129 |
-
{
|
130 |
-
"epoch": 6.0,
|
131 |
-
"learning_rate": 2e-05,
|
132 |
-
"loss": 1.0945,
|
133 |
-
"step": 18
|
134 |
-
},
|
135 |
-
{
|
136 |
-
"epoch": 6.33,
|
137 |
-
"learning_rate": 1.994152046783626e-05,
|
138 |
-
"loss": 1.0588,
|
139 |
-
"step": 19
|
140 |
-
},
|
141 |
-
{
|
142 |
-
"epoch": 6.67,
|
143 |
-
"learning_rate": 1.9883040935672515e-05,
|
144 |
-
"loss": 1.0478,
|
145 |
-
"step": 20
|
146 |
-
},
|
147 |
-
{
|
148 |
-
"epoch": 6.67,
|
149 |
-
"eval_accuracy_dropoff": 0.8648482551060261,
|
150 |
-
"eval_accuracy_undropoff": 0.5515245664509166,
|
151 |
-
"eval_accuracy_unlabeled": NaN,
|
152 |
-
"eval_iou_dropoff": 0.08793587759511783,
|
153 |
-
"eval_iou_undropoff": 0.5482206998703943,
|
154 |
-
"eval_iou_unlabeled": 0.0,
|
155 |
-
"eval_loss": 1.0755951404571533,
|
156 |
-
"eval_mean_accuracy": 0.7081864107784714,
|
157 |
-
"eval_mean_iou": 0.21205219248850404,
|
158 |
-
"eval_overall_accuracy": 0.5653978983561198,
|
159 |
-
"eval_runtime": 1.8074,
|
160 |
-
"eval_samples_per_second": 8.299,
|
161 |
-
"eval_steps_per_second": 0.553,
|
162 |
-
"step": 20
|
163 |
-
},
|
164 |
-
{
|
165 |
-
"epoch": 7.0,
|
166 |
-
"learning_rate": 1.9824561403508773e-05,
|
167 |
-
"loss": 1.0748,
|
168 |
-
"step": 21
|
169 |
-
},
|
170 |
-
{
|
171 |
-
"epoch": 7.33,
|
172 |
-
"learning_rate": 1.976608187134503e-05,
|
173 |
-
"loss": 1.0343,
|
174 |
-
"step": 22
|
175 |
-
},
|
176 |
-
{
|
177 |
-
"epoch": 7.67,
|
178 |
-
"learning_rate": 1.970760233918129e-05,
|
179 |
-
"loss": 1.0348,
|
180 |
-
"step": 23
|
181 |
-
},
|
182 |
-
{
|
183 |
-
"epoch": 8.0,
|
184 |
-
"learning_rate": 1.9649122807017544e-05,
|
185 |
-
"loss": 1.0366,
|
186 |
-
"step": 24
|
187 |
-
},
|
188 |
-
{
|
189 |
-
"epoch": 8.33,
|
190 |
-
"learning_rate": 1.9590643274853802e-05,
|
191 |
-
"loss": 1.0351,
|
192 |
-
"step": 25
|
193 |
-
},
|
194 |
-
{
|
195 |
-
"epoch": 8.67,
|
196 |
-
"learning_rate": 1.953216374269006e-05,
|
197 |
-
"loss": 1.0085,
|
198 |
-
"step": 26
|
199 |
-
},
|
200 |
-
{
|
201 |
-
"epoch": 9.0,
|
202 |
-
"learning_rate": 1.9473684210526318e-05,
|
203 |
-
"loss": 1.0048,
|
204 |
-
"step": 27
|
205 |
-
},
|
206 |
-
{
|
207 |
-
"epoch": 9.33,
|
208 |
-
"learning_rate": 1.9415204678362573e-05,
|
209 |
-
"loss": 1.0001,
|
210 |
-
"step": 28
|
211 |
-
},
|
212 |
-
{
|
213 |
-
"epoch": 9.67,
|
214 |
-
"learning_rate": 1.935672514619883e-05,
|
215 |
-
"loss": 0.9877,
|
216 |
-
"step": 29
|
217 |
-
},
|
218 |
-
{
|
219 |
-
"epoch": 10.0,
|
220 |
-
"learning_rate": 1.929824561403509e-05,
|
221 |
-
"loss": 1.0451,
|
222 |
-
"step": 30
|
223 |
-
},
|
224 |
-
{
|
225 |
-
"epoch": 10.0,
|
226 |
-
"eval_accuracy_dropoff": 0.8842327750591586,
|
227 |
-
"eval_accuracy_undropoff": 0.7264455095352592,
|
228 |
-
"eval_accuracy_unlabeled": NaN,
|
229 |
-
"eval_iou_dropoff": 0.1312558881078339,
|
230 |
-
"eval_iou_undropoff": 0.7226098464796189,
|
231 |
-
"eval_iou_unlabeled": 0.0,
|
232 |
-
"eval_loss": 1.026917576789856,
|
233 |
-
"eval_mean_accuracy": 0.8053391422972089,
|
234 |
-
"eval_mean_iou": 0.2846219115291509,
|
235 |
-
"eval_overall_accuracy": 0.7334320068359375,
|
236 |
-
"eval_runtime": 1.7831,
|
237 |
-
"eval_samples_per_second": 8.412,
|
238 |
-
"eval_steps_per_second": 0.561,
|
239 |
-
"step": 30
|
240 |
-
},
|
241 |
-
{
|
242 |
-
"epoch": 10.33,
|
243 |
-
"learning_rate": 1.9239766081871347e-05,
|
244 |
-
"loss": 0.9774,
|
245 |
-
"step": 31
|
246 |
-
},
|
247 |
-
{
|
248 |
-
"epoch": 10.67,
|
249 |
-
"learning_rate": 1.9181286549707602e-05,
|
250 |
-
"loss": 0.9797,
|
251 |
-
"step": 32
|
252 |
-
},
|
253 |
-
{
|
254 |
-
"epoch": 11.0,
|
255 |
-
"learning_rate": 1.912280701754386e-05,
|
256 |
-
"loss": 0.9325,
|
257 |
-
"step": 33
|
258 |
-
},
|
259 |
-
{
|
260 |
-
"epoch": 11.33,
|
261 |
-
"learning_rate": 1.9064327485380118e-05,
|
262 |
-
"loss": 0.9775,
|
263 |
-
"step": 34
|
264 |
-
},
|
265 |
-
{
|
266 |
-
"epoch": 11.67,
|
267 |
-
"learning_rate": 1.9005847953216376e-05,
|
268 |
-
"loss": 0.9393,
|
269 |
-
"step": 35
|
270 |
-
},
|
271 |
-
{
|
272 |
-
"epoch": 12.0,
|
273 |
-
"learning_rate": 1.894736842105263e-05,
|
274 |
-
"loss": 0.9431,
|
275 |
-
"step": 36
|
276 |
-
},
|
277 |
-
{
|
278 |
-
"epoch": 12.33,
|
279 |
-
"learning_rate": 1.888888888888889e-05,
|
280 |
-
"loss": 0.9369,
|
281 |
-
"step": 37
|
282 |
-
},
|
283 |
-
{
|
284 |
-
"epoch": 12.67,
|
285 |
-
"learning_rate": 1.8830409356725147e-05,
|
286 |
-
"loss": 0.9234,
|
287 |
-
"step": 38
|
288 |
-
},
|
289 |
-
{
|
290 |
-
"epoch": 13.0,
|
291 |
-
"learning_rate": 1.8771929824561405e-05,
|
292 |
-
"loss": 1.0184,
|
293 |
-
"step": 39
|
294 |
-
},
|
295 |
-
{
|
296 |
-
"epoch": 13.33,
|
297 |
-
"learning_rate": 1.871345029239766e-05,
|
298 |
-
"loss": 0.9095,
|
299 |
-
"step": 40
|
300 |
-
},
|
301 |
-
{
|
302 |
-
"epoch": 13.33,
|
303 |
-
"eval_accuracy_dropoff": 0.7349346382704988,
|
304 |
-
"eval_accuracy_undropoff": 0.8459984055569215,
|
305 |
-
"eval_accuracy_unlabeled": NaN,
|
306 |
-
"eval_iou_dropoff": 0.17233702408257653,
|
307 |
-
"eval_iou_undropoff": 0.835792668708584,
|
308 |
-
"eval_iou_unlabeled": 0.0,
|
309 |
-
"eval_loss": 0.947559118270874,
|
310 |
-
"eval_mean_accuracy": 0.7904665219137101,
|
311 |
-
"eval_mean_iou": 0.33604323093038685,
|
312 |
-
"eval_overall_accuracy": 0.8410807291666667,
|
313 |
-
"eval_runtime": 1.7664,
|
314 |
-
"eval_samples_per_second": 8.492,
|
315 |
-
"eval_steps_per_second": 0.566,
|
316 |
-
"step": 40
|
317 |
-
},
|
318 |
-
{
|
319 |
-
"epoch": 13.67,
|
320 |
-
"learning_rate": 1.8654970760233918e-05,
|
321 |
-
"loss": 0.9068,
|
322 |
-
"step": 41
|
323 |
-
},
|
324 |
-
{
|
325 |
-
"epoch": 14.0,
|
326 |
-
"learning_rate": 1.8596491228070176e-05,
|
327 |
-
"loss": 0.9478,
|
328 |
-
"step": 42
|
329 |
-
},
|
330 |
-
{
|
331 |
-
"epoch": 14.33,
|
332 |
-
"learning_rate": 1.8538011695906434e-05,
|
333 |
-
"loss": 0.9028,
|
334 |
-
"step": 43
|
335 |
-
},
|
336 |
-
{
|
337 |
-
"epoch": 14.67,
|
338 |
-
"learning_rate": 1.847953216374269e-05,
|
339 |
-
"loss": 0.8937,
|
340 |
-
"step": 44
|
341 |
-
},
|
342 |
-
{
|
343 |
-
"epoch": 15.0,
|
344 |
-
"learning_rate": 1.8421052631578947e-05,
|
345 |
-
"loss": 0.7988,
|
346 |
-
"step": 45
|
347 |
-
},
|
348 |
-
{
|
349 |
-
"epoch": 15.33,
|
350 |
-
"learning_rate": 1.8362573099415205e-05,
|
351 |
-
"loss": 0.8873,
|
352 |
-
"step": 46
|
353 |
-
},
|
354 |
-
{
|
355 |
-
"epoch": 15.67,
|
356 |
-
"learning_rate": 1.8304093567251464e-05,
|
357 |
-
"loss": 0.8282,
|
358 |
-
"step": 47
|
359 |
-
},
|
360 |
-
{
|
361 |
-
"epoch": 16.0,
|
362 |
-
"learning_rate": 1.824561403508772e-05,
|
363 |
-
"loss": 0.868,
|
364 |
-
"step": 48
|
365 |
-
},
|
366 |
-
{
|
367 |
-
"epoch": 16.33,
|
368 |
-
"learning_rate": 1.8187134502923976e-05,
|
369 |
-
"loss": 0.8684,
|
370 |
-
"step": 49
|
371 |
-
},
|
372 |
-
{
|
373 |
-
"epoch": 16.67,
|
374 |
-
"learning_rate": 1.8128654970760235e-05,
|
375 |
-
"loss": 0.8091,
|
376 |
-
"step": 50
|
377 |
-
},
|
378 |
-
{
|
379 |
-
"epoch": 16.67,
|
380 |
-
"eval_accuracy_dropoff": 0.5974624945436166,
|
381 |
-
"eval_accuracy_undropoff": 0.9315254285997107,
|
382 |
-
"eval_accuracy_unlabeled": NaN,
|
383 |
-
"eval_iou_dropoff": 0.2429297387681515,
|
384 |
-
"eval_iou_undropoff": 0.914512280023459,
|
385 |
-
"eval_iou_unlabeled": 0.0,
|
386 |
-
"eval_loss": 0.8424645662307739,
|
387 |
-
"eval_mean_accuracy": 0.7644939615716636,
|
388 |
-
"eval_mean_iou": 0.3858140062638702,
|
389 |
-
"eval_overall_accuracy": 0.9167338053385417,
|
390 |
-
"eval_runtime": 1.7428,
|
391 |
-
"eval_samples_per_second": 8.607,
|
392 |
-
"eval_steps_per_second": 0.574,
|
393 |
-
"step": 50
|
394 |
-
},
|
395 |
-
{
|
396 |
-
"epoch": 17.0,
|
397 |
-
"learning_rate": 1.8070175438596493e-05,
|
398 |
-
"loss": 0.7826,
|
399 |
-
"step": 51
|
400 |
-
},
|
401 |
-
{
|
402 |
-
"epoch": 17.33,
|
403 |
-
"learning_rate": 1.8011695906432747e-05,
|
404 |
-
"loss": 0.8106,
|
405 |
-
"step": 52
|
406 |
-
},
|
407 |
-
{
|
408 |
-
"epoch": 17.67,
|
409 |
-
"learning_rate": 1.7953216374269006e-05,
|
410 |
-
"loss": 0.7961,
|
411 |
-
"step": 53
|
412 |
-
},
|
413 |
-
{
|
414 |
-
"epoch": 18.0,
|
415 |
-
"learning_rate": 1.7894736842105264e-05,
|
416 |
-
"loss": 0.7195,
|
417 |
-
"step": 54
|
418 |
-
},
|
419 |
-
{
|
420 |
-
"epoch": 18.33,
|
421 |
-
"learning_rate": 1.7836257309941522e-05,
|
422 |
-
"loss": 0.7777,
|
423 |
-
"step": 55
|
424 |
-
},
|
425 |
-
{
|
426 |
-
"epoch": 18.67,
|
427 |
-
"learning_rate": 1.7777777777777777e-05,
|
428 |
-
"loss": 0.7961,
|
429 |
-
"step": 56
|
430 |
-
},
|
431 |
-
{
|
432 |
-
"epoch": 19.0,
|
433 |
-
"learning_rate": 1.7719298245614035e-05,
|
434 |
-
"loss": 0.9039,
|
435 |
-
"step": 57
|
436 |
-
},
|
437 |
-
{
|
438 |
-
"epoch": 19.33,
|
439 |
-
"learning_rate": 1.7660818713450293e-05,
|
440 |
-
"loss": 0.7125,
|
441 |
-
"step": 58
|
442 |
-
},
|
443 |
-
{
|
444 |
-
"epoch": 19.67,
|
445 |
-
"learning_rate": 1.760233918128655e-05,
|
446 |
-
"loss": 0.7704,
|
447 |
-
"step": 59
|
448 |
-
},
|
449 |
-
{
|
450 |
-
"epoch": 20.0,
|
451 |
-
"learning_rate": 1.754385964912281e-05,
|
452 |
-
"loss": 0.8094,
|
453 |
-
"step": 60
|
454 |
-
},
|
455 |
-
{
|
456 |
-
"epoch": 20.0,
|
457 |
-
"eval_accuracy_dropoff": 0.5280687848921359,
|
458 |
-
"eval_accuracy_undropoff": 0.9608414146478016,
|
459 |
-
"eval_accuracy_unlabeled": NaN,
|
460 |
-
"eval_iou_dropoff": 0.2866027007818053,
|
461 |
-
"eval_iou_undropoff": 0.9402828328280236,
|
462 |
-
"eval_iou_unlabeled": 0.0,
|
463 |
-
"eval_loss": 0.7488501071929932,
|
464 |
-
"eval_mean_accuracy": 0.7444550997699688,
|
465 |
-
"eval_mean_iou": 0.40896184453660966,
|
466 |
-
"eval_overall_accuracy": 0.9416791280110677,
|
467 |
-
"eval_runtime": 1.8293,
|
468 |
-
"eval_samples_per_second": 8.2,
|
469 |
-
"eval_steps_per_second": 0.547,
|
470 |
-
"step": 60
|
471 |
-
},
|
472 |
-
{
|
473 |
-
"epoch": 20.33,
|
474 |
-
"learning_rate": 1.7485380116959064e-05,
|
475 |
-
"loss": 0.7233,
|
476 |
-
"step": 61
|
477 |
-
},
|
478 |
-
{
|
479 |
-
"epoch": 20.67,
|
480 |
-
"learning_rate": 1.7426900584795322e-05,
|
481 |
-
"loss": 0.7181,
|
482 |
-
"step": 62
|
483 |
-
},
|
484 |
-
{
|
485 |
-
"epoch": 21.0,
|
486 |
-
"learning_rate": 1.736842105263158e-05,
|
487 |
-
"loss": 0.9374,
|
488 |
-
"step": 63
|
489 |
-
},
|
490 |
-
{
|
491 |
-
"epoch": 21.33,
|
492 |
-
"learning_rate": 1.7309941520467838e-05,
|
493 |
-
"loss": 0.7476,
|
494 |
-
"step": 64
|
495 |
-
},
|
496 |
-
{
|
497 |
-
"epoch": 21.67,
|
498 |
-
"learning_rate": 1.7251461988304093e-05,
|
499 |
-
"loss": 0.7718,
|
500 |
-
"step": 65
|
501 |
-
},
|
502 |
-
{
|
503 |
-
"epoch": 22.0,
|
504 |
-
"learning_rate": 1.719298245614035e-05,
|
505 |
-
"loss": 0.7803,
|
506 |
-
"step": 66
|
507 |
-
},
|
508 |
-
{
|
509 |
-
"epoch": 22.33,
|
510 |
-
"learning_rate": 1.713450292397661e-05,
|
511 |
-
"loss": 0.761,
|
512 |
-
"step": 67
|
513 |
-
},
|
514 |
-
{
|
515 |
-
"epoch": 22.67,
|
516 |
-
"learning_rate": 1.7076023391812867e-05,
|
517 |
-
"loss": 0.6901,
|
518 |
-
"step": 68
|
519 |
-
},
|
520 |
-
{
|
521 |
-
"epoch": 23.0,
|
522 |
-
"learning_rate": 1.7017543859649125e-05,
|
523 |
-
"loss": 0.9088,
|
524 |
-
"step": 69
|
525 |
-
},
|
526 |
-
{
|
527 |
-
"epoch": 23.33,
|
528 |
-
"learning_rate": 1.695906432748538e-05,
|
529 |
-
"loss": 0.6945,
|
530 |
-
"step": 70
|
531 |
-
},
|
532 |
-
{
|
533 |
-
"epoch": 23.33,
|
534 |
-
"eval_accuracy_dropoff": 0.5298435453856227,
|
535 |
-
"eval_accuracy_undropoff": 0.9645688777057901,
|
536 |
-
"eval_accuracy_unlabeled": NaN,
|
537 |
-
"eval_iou_dropoff": 0.30036630036630035,
|
538 |
-
"eval_iou_undropoff": 0.9440065001523473,
|
539 |
-
"eval_iou_unlabeled": 0.0,
|
540 |
-
"eval_loss": 0.7005425095558167,
|
541 |
-
"eval_mean_accuracy": 0.7472062115457064,
|
542 |
-
"eval_mean_iou": 0.4147909335062159,
|
543 |
-
"eval_overall_accuracy": 0.9453201293945312,
|
544 |
-
"eval_runtime": 1.7223,
|
545 |
-
"eval_samples_per_second": 8.71,
|
546 |
-
"eval_steps_per_second": 0.581,
|
547 |
-
"step": 70
|
548 |
-
},
|
549 |
-
{
|
550 |
-
"epoch": 23.67,
|
551 |
-
"learning_rate": 1.690058479532164e-05,
|
552 |
-
"loss": 0.6711,
|
553 |
-
"step": 71
|
554 |
-
},
|
555 |
-
{
|
556 |
-
"epoch": 24.0,
|
557 |
-
"learning_rate": 1.6842105263157896e-05,
|
558 |
-
"loss": 0.7554,
|
559 |
-
"step": 72
|
560 |
-
},
|
561 |
-
{
|
562 |
-
"epoch": 24.33,
|
563 |
-
"learning_rate": 1.6783625730994155e-05,
|
564 |
-
"loss": 0.6708,
|
565 |
-
"step": 73
|
566 |
-
},
|
567 |
-
{
|
568 |
-
"epoch": 24.67,
|
569 |
-
"learning_rate": 1.672514619883041e-05,
|
570 |
-
"loss": 0.6926,
|
571 |
-
"step": 74
|
572 |
-
},
|
573 |
-
{
|
574 |
-
"epoch": 25.0,
|
575 |
-
"learning_rate": 1.6666666666666667e-05,
|
576 |
-
"loss": 0.9247,
|
577 |
-
"step": 75
|
578 |
-
},
|
579 |
-
{
|
580 |
-
"epoch": 25.33,
|
581 |
-
"learning_rate": 1.6608187134502926e-05,
|
582 |
-
"loss": 0.6425,
|
583 |
-
"step": 76
|
584 |
-
},
|
585 |
-
{
|
586 |
-
"epoch": 25.67,
|
587 |
-
"learning_rate": 1.6549707602339184e-05,
|
588 |
-
"loss": 0.6567,
|
589 |
-
"step": 77
|
590 |
-
},
|
591 |
-
{
|
592 |
-
"epoch": 26.0,
|
593 |
-
"learning_rate": 1.649122807017544e-05,
|
594 |
-
"loss": 0.8971,
|
595 |
-
"step": 78
|
596 |
-
},
|
597 |
-
{
|
598 |
-
"epoch": 26.33,
|
599 |
-
"learning_rate": 1.6432748538011697e-05,
|
600 |
-
"loss": 0.6993,
|
601 |
-
"step": 79
|
602 |
-
},
|
603 |
-
{
|
604 |
-
"epoch": 26.67,
|
605 |
-
"learning_rate": 1.6374269005847955e-05,
|
606 |
-
"loss": 0.6337,
|
607 |
-
"step": 80
|
608 |
-
},
|
609 |
-
{
|
610 |
-
"epoch": 26.67,
|
611 |
-
"eval_accuracy_dropoff": 0.49581294369012335,
|
612 |
-
"eval_accuracy_undropoff": 0.9709405298276873,
|
613 |
-
"eval_accuracy_unlabeled": NaN,
|
614 |
-
"eval_iou_dropoff": 0.3046961862238145,
|
615 |
-
"eval_iou_undropoff": 0.9487783537255239,
|
616 |
-
"eval_iou_unlabeled": NaN,
|
617 |
-
"eval_loss": 0.6331071257591248,
|
618 |
-
"eval_mean_accuracy": 0.7333767367589054,
|
619 |
-
"eval_mean_iou": 0.6267372699746692,
|
620 |
-
"eval_overall_accuracy": 0.9499028523763021,
|
621 |
-
"eval_runtime": 1.7079,
|
622 |
-
"eval_samples_per_second": 8.783,
|
623 |
-
"eval_steps_per_second": 0.586,
|
624 |
-
"step": 80
|
625 |
-
}
|
626 |
-
],
|
627 |
-
"max_steps": 360,
|
628 |
-
"num_train_epochs": 120,
|
629 |
-
"total_flos": 1.605671807090688e+16,
|
630 |
-
"trial_name": null,
|
631 |
-
"trial_params": null
|
632 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 14932813
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a8b1da7114c1ae9d694a85585533a284f66eeeef0da4b97a8dbfe7bc2926a0a7
|
3 |
size 14932813
|
runs/Feb12_06-10-25_robovision.csres.utexas.edu/events.out.tfevents.1707739840.robovision.csres.utexas.edu.2691300.0
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 sha256:71e94c11595c7d63ed5c0d44067116968528a3ca069f615dab4ff66369a6986d
|
3 |
+
size 70391
|