Training in progress, step 440
Browse files- {checkpoint-240 → checkpoint-440}/config.json +0 -0
- {checkpoint-240 → checkpoint-440}/optimizer.pt +2 -2
- {checkpoint-240 → checkpoint-440}/pytorch_model.bin +1 -1
- {checkpoint-240 → checkpoint-440}/rng_state.pth +1 -1
- {checkpoint-240 → checkpoint-440}/scheduler.pt +1 -1
- {checkpoint-240 → checkpoint-440}/trainer_state.json +1545 -5
- {checkpoint-240 → checkpoint-440}/training_args.bin +0 -0
- pytorch_model.bin +1 -1
- runs/Feb05_23-09-17_robolidar/events.out.tfevents.1707196164.robolidar.781259.0 +2 -2
{checkpoint-240 → checkpoint-440}/config.json
RENAMED
|
File without changes
|
{checkpoint-240 → checkpoint-440}/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 sha256:4372bcef3dbad0e77295748e7dcf7d14213f2100906bb62292df31ca9a3a1b90
|
| 3 |
+
size 677531583
|
{checkpoint-240 → checkpoint-440}/pytorch_model.bin
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 338834121
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3524cde3fb034610edd8d64d969e836e516629fe4b5b314d965c0ce8d038aee4
|
| 3 |
size 338834121
|
{checkpoint-240 → checkpoint-440}/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 sha256:759a0154996936ae14e1cbd6a7e8cc420b8b27b6b2c9c8098dd581becb07a729
|
| 3 |
size 14575
|
{checkpoint-240 → checkpoint-440}/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 sha256:871861b3d6b68766918daf0f0673ebb01675863de9af3d6d770372cbf6305bb2
|
| 3 |
size 627
|
{checkpoint-240 → checkpoint-440}/trainer_state.json
RENAMED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 0.
|
| 3 |
-
"best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/safety-utcustom-train-SF-RGBD-b5/checkpoint-
|
| 4 |
-
"epoch":
|
| 5 |
-
"global_step":
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
|
@@ -1854,11 +1854,1551 @@
|
|
| 1854 |
"eval_samples_per_second": 6.462,
|
| 1855 |
"eval_steps_per_second": 0.482,
|
| 1856 |
"step": 240
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1857 |
}
|
| 1858 |
],
|
| 1859 |
"max_steps": 1100,
|
| 1860 |
"num_train_epochs": 100,
|
| 1861 |
-
"total_flos":
|
| 1862 |
"trial_name": null,
|
| 1863 |
"trial_params": null
|
| 1864 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.11739415675401688,
|
| 3 |
+
"best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/safety-utcustom-train-SF-RGBD-b5/checkpoint-440",
|
| 4 |
+
"epoch": 40.0,
|
| 5 |
+
"global_step": 440,
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
|
|
|
| 1854 |
"eval_samples_per_second": 6.462,
|
| 1855 |
"eval_steps_per_second": 0.482,
|
| 1856 |
"step": 240
|
| 1857 |
+
},
|
| 1858 |
+
{
|
| 1859 |
+
"epoch": 21.91,
|
| 1860 |
+
"learning_rate": 3.2880382775119615e-06,
|
| 1861 |
+
"loss": 0.1957,
|
| 1862 |
+
"step": 241
|
| 1863 |
+
},
|
| 1864 |
+
{
|
| 1865 |
+
"epoch": 22.0,
|
| 1866 |
+
"learning_rate": 3.2842105263157892e-06,
|
| 1867 |
+
"loss": 0.1871,
|
| 1868 |
+
"step": 242
|
| 1869 |
+
},
|
| 1870 |
+
{
|
| 1871 |
+
"epoch": 22.09,
|
| 1872 |
+
"learning_rate": 3.280382775119617e-06,
|
| 1873 |
+
"loss": 0.2137,
|
| 1874 |
+
"step": 243
|
| 1875 |
+
},
|
| 1876 |
+
{
|
| 1877 |
+
"epoch": 22.18,
|
| 1878 |
+
"learning_rate": 3.276555023923445e-06,
|
| 1879 |
+
"loss": 0.1965,
|
| 1880 |
+
"step": 244
|
| 1881 |
+
},
|
| 1882 |
+
{
|
| 1883 |
+
"epoch": 22.27,
|
| 1884 |
+
"learning_rate": 3.272727272727273e-06,
|
| 1885 |
+
"loss": 0.2014,
|
| 1886 |
+
"step": 245
|
| 1887 |
+
},
|
| 1888 |
+
{
|
| 1889 |
+
"epoch": 22.36,
|
| 1890 |
+
"learning_rate": 3.2688995215311003e-06,
|
| 1891 |
+
"loss": 0.1888,
|
| 1892 |
+
"step": 246
|
| 1893 |
+
},
|
| 1894 |
+
{
|
| 1895 |
+
"epoch": 22.45,
|
| 1896 |
+
"learning_rate": 3.265071770334928e-06,
|
| 1897 |
+
"loss": 0.2214,
|
| 1898 |
+
"step": 247
|
| 1899 |
+
},
|
| 1900 |
+
{
|
| 1901 |
+
"epoch": 22.55,
|
| 1902 |
+
"learning_rate": 3.2612440191387558e-06,
|
| 1903 |
+
"loss": 0.1947,
|
| 1904 |
+
"step": 248
|
| 1905 |
+
},
|
| 1906 |
+
{
|
| 1907 |
+
"epoch": 22.64,
|
| 1908 |
+
"learning_rate": 3.2574162679425835e-06,
|
| 1909 |
+
"loss": 0.1854,
|
| 1910 |
+
"step": 249
|
| 1911 |
+
},
|
| 1912 |
+
{
|
| 1913 |
+
"epoch": 22.73,
|
| 1914 |
+
"learning_rate": 3.2535885167464113e-06,
|
| 1915 |
+
"loss": 0.188,
|
| 1916 |
+
"step": 250
|
| 1917 |
+
},
|
| 1918 |
+
{
|
| 1919 |
+
"epoch": 22.73,
|
| 1920 |
+
"eval_accuracy_safe": 0.20203854264247245,
|
| 1921 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1922 |
+
"eval_accuracy_unsafe": 0.997185483518009,
|
| 1923 |
+
"eval_iou_safe": 0.18493758546160294,
|
| 1924 |
+
"eval_iou_unlabeled": NaN,
|
| 1925 |
+
"eval_iou_unsafe": 0.9735402085935885,
|
| 1926 |
+
"eval_loss": 0.17257128655910492,
|
| 1927 |
+
"eval_mean_accuracy": 0.5996120130802407,
|
| 1928 |
+
"eval_mean_iou": 0.5792388970275957,
|
| 1929 |
+
"eval_overall_accuracy": 0.9736981178397563,
|
| 1930 |
+
"eval_runtime": 11.9222,
|
| 1931 |
+
"eval_samples_per_second": 5.62,
|
| 1932 |
+
"eval_steps_per_second": 0.419,
|
| 1933 |
+
"step": 250
|
| 1934 |
+
},
|
| 1935 |
+
{
|
| 1936 |
+
"epoch": 22.82,
|
| 1937 |
+
"learning_rate": 3.2497607655502395e-06,
|
| 1938 |
+
"loss": 0.1837,
|
| 1939 |
+
"step": 251
|
| 1940 |
+
},
|
| 1941 |
+
{
|
| 1942 |
+
"epoch": 22.91,
|
| 1943 |
+
"learning_rate": 3.245933014354067e-06,
|
| 1944 |
+
"loss": 0.22,
|
| 1945 |
+
"step": 252
|
| 1946 |
+
},
|
| 1947 |
+
{
|
| 1948 |
+
"epoch": 23.0,
|
| 1949 |
+
"learning_rate": 3.2421052631578945e-06,
|
| 1950 |
+
"loss": 0.2045,
|
| 1951 |
+
"step": 253
|
| 1952 |
+
},
|
| 1953 |
+
{
|
| 1954 |
+
"epoch": 23.09,
|
| 1955 |
+
"learning_rate": 3.2382775119617223e-06,
|
| 1956 |
+
"loss": 0.1979,
|
| 1957 |
+
"step": 254
|
| 1958 |
+
},
|
| 1959 |
+
{
|
| 1960 |
+
"epoch": 23.18,
|
| 1961 |
+
"learning_rate": 3.23444976076555e-06,
|
| 1962 |
+
"loss": 0.2015,
|
| 1963 |
+
"step": 255
|
| 1964 |
+
},
|
| 1965 |
+
{
|
| 1966 |
+
"epoch": 23.27,
|
| 1967 |
+
"learning_rate": 3.230622009569378e-06,
|
| 1968 |
+
"loss": 0.1811,
|
| 1969 |
+
"step": 256
|
| 1970 |
+
},
|
| 1971 |
+
{
|
| 1972 |
+
"epoch": 23.36,
|
| 1973 |
+
"learning_rate": 3.2267942583732056e-06,
|
| 1974 |
+
"loss": 0.1812,
|
| 1975 |
+
"step": 257
|
| 1976 |
+
},
|
| 1977 |
+
{
|
| 1978 |
+
"epoch": 23.45,
|
| 1979 |
+
"learning_rate": 3.2229665071770337e-06,
|
| 1980 |
+
"loss": 0.1955,
|
| 1981 |
+
"step": 258
|
| 1982 |
+
},
|
| 1983 |
+
{
|
| 1984 |
+
"epoch": 23.55,
|
| 1985 |
+
"learning_rate": 3.219138755980861e-06,
|
| 1986 |
+
"loss": 0.1956,
|
| 1987 |
+
"step": 259
|
| 1988 |
+
},
|
| 1989 |
+
{
|
| 1990 |
+
"epoch": 23.64,
|
| 1991 |
+
"learning_rate": 3.215311004784689e-06,
|
| 1992 |
+
"loss": 0.2175,
|
| 1993 |
+
"step": 260
|
| 1994 |
+
},
|
| 1995 |
+
{
|
| 1996 |
+
"epoch": 23.64,
|
| 1997 |
+
"eval_accuracy_safe": 0.1897583278399081,
|
| 1998 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1999 |
+
"eval_accuracy_unsafe": 0.9973954590144141,
|
| 2000 |
+
"eval_iou_safe": 0.1748006022770048,
|
| 2001 |
+
"eval_iou_unlabeled": NaN,
|
| 2002 |
+
"eval_iou_unsafe": 0.9733899999204132,
|
| 2003 |
+
"eval_loss": 0.17063008248806,
|
| 2004 |
+
"eval_mean_accuracy": 0.593576893427161,
|
| 2005 |
+
"eval_mean_iou": 0.574095301098709,
|
| 2006 |
+
"eval_overall_accuracy": 0.9735391531417619,
|
| 2007 |
+
"eval_runtime": 10.3294,
|
| 2008 |
+
"eval_samples_per_second": 6.486,
|
| 2009 |
+
"eval_steps_per_second": 0.484,
|
| 2010 |
+
"step": 260
|
| 2011 |
+
},
|
| 2012 |
+
{
|
| 2013 |
+
"epoch": 23.73,
|
| 2014 |
+
"learning_rate": 3.2114832535885166e-06,
|
| 2015 |
+
"loss": 0.2014,
|
| 2016 |
+
"step": 261
|
| 2017 |
+
},
|
| 2018 |
+
{
|
| 2019 |
+
"epoch": 23.82,
|
| 2020 |
+
"learning_rate": 3.2076555023923443e-06,
|
| 2021 |
+
"loss": 0.1943,
|
| 2022 |
+
"step": 262
|
| 2023 |
+
},
|
| 2024 |
+
{
|
| 2025 |
+
"epoch": 23.91,
|
| 2026 |
+
"learning_rate": 3.203827751196172e-06,
|
| 2027 |
+
"loss": 0.1902,
|
| 2028 |
+
"step": 263
|
| 2029 |
+
},
|
| 2030 |
+
{
|
| 2031 |
+
"epoch": 24.0,
|
| 2032 |
+
"learning_rate": 3.2e-06,
|
| 2033 |
+
"loss": 0.1767,
|
| 2034 |
+
"step": 264
|
| 2035 |
+
},
|
| 2036 |
+
{
|
| 2037 |
+
"epoch": 24.09,
|
| 2038 |
+
"learning_rate": 3.1961722488038276e-06,
|
| 2039 |
+
"loss": 0.1836,
|
| 2040 |
+
"step": 265
|
| 2041 |
+
},
|
| 2042 |
+
{
|
| 2043 |
+
"epoch": 24.18,
|
| 2044 |
+
"learning_rate": 3.1923444976076554e-06,
|
| 2045 |
+
"loss": 0.1745,
|
| 2046 |
+
"step": 266
|
| 2047 |
+
},
|
| 2048 |
+
{
|
| 2049 |
+
"epoch": 24.27,
|
| 2050 |
+
"learning_rate": 3.188516746411483e-06,
|
| 2051 |
+
"loss": 0.1805,
|
| 2052 |
+
"step": 267
|
| 2053 |
+
},
|
| 2054 |
+
{
|
| 2055 |
+
"epoch": 24.36,
|
| 2056 |
+
"learning_rate": 3.184688995215311e-06,
|
| 2057 |
+
"loss": 0.2039,
|
| 2058 |
+
"step": 268
|
| 2059 |
+
},
|
| 2060 |
+
{
|
| 2061 |
+
"epoch": 24.45,
|
| 2062 |
+
"learning_rate": 3.1808612440191386e-06,
|
| 2063 |
+
"loss": 0.1827,
|
| 2064 |
+
"step": 269
|
| 2065 |
+
},
|
| 2066 |
+
{
|
| 2067 |
+
"epoch": 24.55,
|
| 2068 |
+
"learning_rate": 3.1770334928229664e-06,
|
| 2069 |
+
"loss": 0.2059,
|
| 2070 |
+
"step": 270
|
| 2071 |
+
},
|
| 2072 |
+
{
|
| 2073 |
+
"epoch": 24.55,
|
| 2074 |
+
"eval_accuracy_safe": 0.3006272142358742,
|
| 2075 |
+
"eval_accuracy_unlabeled": NaN,
|
| 2076 |
+
"eval_accuracy_unsafe": 0.9961704552801475,
|
| 2077 |
+
"eval_iou_safe": 0.2670303179723187,
|
| 2078 |
+
"eval_iou_unlabeled": NaN,
|
| 2079 |
+
"eval_iou_unsafe": 0.9754068347526109,
|
| 2080 |
+
"eval_loss": 0.16893711686134338,
|
| 2081 |
+
"eval_mean_accuracy": 0.6483988347580109,
|
| 2082 |
+
"eval_mean_iou": 0.6212185763624648,
|
| 2083 |
+
"eval_overall_accuracy": 0.975625223188258,
|
| 2084 |
+
"eval_runtime": 11.3681,
|
| 2085 |
+
"eval_samples_per_second": 5.894,
|
| 2086 |
+
"eval_steps_per_second": 0.44,
|
| 2087 |
+
"step": 270
|
| 2088 |
+
},
|
| 2089 |
+
{
|
| 2090 |
+
"epoch": 24.64,
|
| 2091 |
+
"learning_rate": 3.173205741626794e-06,
|
| 2092 |
+
"loss": 0.1668,
|
| 2093 |
+
"step": 271
|
| 2094 |
+
},
|
| 2095 |
+
{
|
| 2096 |
+
"epoch": 24.73,
|
| 2097 |
+
"learning_rate": 3.169377990430622e-06,
|
| 2098 |
+
"loss": 0.183,
|
| 2099 |
+
"step": 272
|
| 2100 |
+
},
|
| 2101 |
+
{
|
| 2102 |
+
"epoch": 24.82,
|
| 2103 |
+
"learning_rate": 3.1655502392344497e-06,
|
| 2104 |
+
"loss": 0.2111,
|
| 2105 |
+
"step": 273
|
| 2106 |
+
},
|
| 2107 |
+
{
|
| 2108 |
+
"epoch": 24.91,
|
| 2109 |
+
"learning_rate": 3.1617224880382774e-06,
|
| 2110 |
+
"loss": 0.1755,
|
| 2111 |
+
"step": 274
|
| 2112 |
+
},
|
| 2113 |
+
{
|
| 2114 |
+
"epoch": 25.0,
|
| 2115 |
+
"learning_rate": 3.157894736842105e-06,
|
| 2116 |
+
"loss": 0.1962,
|
| 2117 |
+
"step": 275
|
| 2118 |
+
},
|
| 2119 |
+
{
|
| 2120 |
+
"epoch": 25.09,
|
| 2121 |
+
"learning_rate": 3.154066985645933e-06,
|
| 2122 |
+
"loss": 0.1748,
|
| 2123 |
+
"step": 276
|
| 2124 |
+
},
|
| 2125 |
+
{
|
| 2126 |
+
"epoch": 25.18,
|
| 2127 |
+
"learning_rate": 3.1502392344497607e-06,
|
| 2128 |
+
"loss": 0.1813,
|
| 2129 |
+
"step": 277
|
| 2130 |
+
},
|
| 2131 |
+
{
|
| 2132 |
+
"epoch": 25.27,
|
| 2133 |
+
"learning_rate": 3.146411483253588e-06,
|
| 2134 |
+
"loss": 0.1882,
|
| 2135 |
+
"step": 278
|
| 2136 |
+
},
|
| 2137 |
+
{
|
| 2138 |
+
"epoch": 25.36,
|
| 2139 |
+
"learning_rate": 3.142583732057416e-06,
|
| 2140 |
+
"loss": 0.1855,
|
| 2141 |
+
"step": 279
|
| 2142 |
+
},
|
| 2143 |
+
{
|
| 2144 |
+
"epoch": 25.45,
|
| 2145 |
+
"learning_rate": 3.138755980861244e-06,
|
| 2146 |
+
"loss": 0.1776,
|
| 2147 |
+
"step": 280
|
| 2148 |
+
},
|
| 2149 |
+
{
|
| 2150 |
+
"epoch": 25.45,
|
| 2151 |
+
"eval_accuracy_safe": 0.2869803894356614,
|
| 2152 |
+
"eval_accuracy_unlabeled": NaN,
|
| 2153 |
+
"eval_accuracy_unsafe": 0.9966670276751107,
|
| 2154 |
+
"eval_iou_safe": 0.2586568730325289,
|
| 2155 |
+
"eval_iou_unlabeled": NaN,
|
| 2156 |
+
"eval_iou_unsafe": 0.97549630595009,
|
| 2157 |
+
"eval_loss": 0.16121132671833038,
|
| 2158 |
+
"eval_mean_accuracy": 0.6418237085553861,
|
| 2159 |
+
"eval_mean_iou": 0.6170765894913094,
|
| 2160 |
+
"eval_overall_accuracy": 0.9757040223078941,
|
| 2161 |
+
"eval_runtime": 10.9596,
|
| 2162 |
+
"eval_samples_per_second": 6.113,
|
| 2163 |
+
"eval_steps_per_second": 0.456,
|
| 2164 |
+
"step": 280
|
| 2165 |
+
},
|
| 2166 |
+
{
|
| 2167 |
+
"epoch": 25.55,
|
| 2168 |
+
"learning_rate": 3.1349282296650717e-06,
|
| 2169 |
+
"loss": 0.1784,
|
| 2170 |
+
"step": 281
|
| 2171 |
+
},
|
| 2172 |
+
{
|
| 2173 |
+
"epoch": 25.64,
|
| 2174 |
+
"learning_rate": 3.1311004784688995e-06,
|
| 2175 |
+
"loss": 0.1672,
|
| 2176 |
+
"step": 282
|
| 2177 |
+
},
|
| 2178 |
+
{
|
| 2179 |
+
"epoch": 25.73,
|
| 2180 |
+
"learning_rate": 3.127272727272727e-06,
|
| 2181 |
+
"loss": 0.1759,
|
| 2182 |
+
"step": 283
|
| 2183 |
+
},
|
| 2184 |
+
{
|
| 2185 |
+
"epoch": 25.82,
|
| 2186 |
+
"learning_rate": 3.1234449760765545e-06,
|
| 2187 |
+
"loss": 0.162,
|
| 2188 |
+
"step": 284
|
| 2189 |
+
},
|
| 2190 |
+
{
|
| 2191 |
+
"epoch": 25.91,
|
| 2192 |
+
"learning_rate": 3.1196172248803823e-06,
|
| 2193 |
+
"loss": 0.1923,
|
| 2194 |
+
"step": 285
|
| 2195 |
+
},
|
| 2196 |
+
{
|
| 2197 |
+
"epoch": 26.0,
|
| 2198 |
+
"learning_rate": 3.1157894736842105e-06,
|
| 2199 |
+
"loss": 0.2386,
|
| 2200 |
+
"step": 286
|
| 2201 |
+
},
|
| 2202 |
+
{
|
| 2203 |
+
"epoch": 26.09,
|
| 2204 |
+
"learning_rate": 3.1119617224880382e-06,
|
| 2205 |
+
"loss": 0.1797,
|
| 2206 |
+
"step": 287
|
| 2207 |
+
},
|
| 2208 |
+
{
|
| 2209 |
+
"epoch": 26.18,
|
| 2210 |
+
"learning_rate": 3.108133971291866e-06,
|
| 2211 |
+
"loss": 0.1789,
|
| 2212 |
+
"step": 288
|
| 2213 |
+
},
|
| 2214 |
+
{
|
| 2215 |
+
"epoch": 26.27,
|
| 2216 |
+
"learning_rate": 3.1043062200956937e-06,
|
| 2217 |
+
"loss": 0.1767,
|
| 2218 |
+
"step": 289
|
| 2219 |
+
},
|
| 2220 |
+
{
|
| 2221 |
+
"epoch": 26.36,
|
| 2222 |
+
"learning_rate": 3.1004784688995215e-06,
|
| 2223 |
+
"loss": 0.1585,
|
| 2224 |
+
"step": 290
|
| 2225 |
+
},
|
| 2226 |
+
{
|
| 2227 |
+
"epoch": 26.36,
|
| 2228 |
+
"eval_accuracy_safe": 0.42542819804087106,
|
| 2229 |
+
"eval_accuracy_unlabeled": NaN,
|
| 2230 |
+
"eval_accuracy_unsafe": 0.9944028241733601,
|
| 2231 |
+
"eval_iou_safe": 0.35934744914157324,
|
| 2232 |
+
"eval_iou_unlabeled": NaN,
|
| 2233 |
+
"eval_iou_unsafe": 0.977311106799397,
|
| 2234 |
+
"eval_loss": 0.1537064015865326,
|
| 2235 |
+
"eval_mean_accuracy": 0.7099155111071156,
|
| 2236 |
+
"eval_mean_iou": 0.6683292779704851,
|
| 2237 |
+
"eval_overall_accuracy": 0.9775962260232043,
|
| 2238 |
+
"eval_runtime": 11.3177,
|
| 2239 |
+
"eval_samples_per_second": 5.92,
|
| 2240 |
+
"eval_steps_per_second": 0.442,
|
| 2241 |
+
"step": 290
|
| 2242 |
+
},
|
| 2243 |
+
{
|
| 2244 |
+
"epoch": 26.45,
|
| 2245 |
+
"learning_rate": 3.096650717703349e-06,
|
| 2246 |
+
"loss": 0.1764,
|
| 2247 |
+
"step": 291
|
| 2248 |
+
},
|
| 2249 |
+
{
|
| 2250 |
+
"epoch": 26.55,
|
| 2251 |
+
"learning_rate": 3.0928229665071766e-06,
|
| 2252 |
+
"loss": 0.1974,
|
| 2253 |
+
"step": 292
|
| 2254 |
+
},
|
| 2255 |
+
{
|
| 2256 |
+
"epoch": 26.64,
|
| 2257 |
+
"learning_rate": 3.0889952153110048e-06,
|
| 2258 |
+
"loss": 0.1666,
|
| 2259 |
+
"step": 293
|
| 2260 |
+
},
|
| 2261 |
+
{
|
| 2262 |
+
"epoch": 26.73,
|
| 2263 |
+
"learning_rate": 3.0851674641148325e-06,
|
| 2264 |
+
"loss": 0.1899,
|
| 2265 |
+
"step": 294
|
| 2266 |
+
},
|
| 2267 |
+
{
|
| 2268 |
+
"epoch": 26.82,
|
| 2269 |
+
"learning_rate": 3.0813397129186603e-06,
|
| 2270 |
+
"loss": 0.1647,
|
| 2271 |
+
"step": 295
|
| 2272 |
+
},
|
| 2273 |
+
{
|
| 2274 |
+
"epoch": 26.91,
|
| 2275 |
+
"learning_rate": 3.077511961722488e-06,
|
| 2276 |
+
"loss": 0.16,
|
| 2277 |
+
"step": 296
|
| 2278 |
+
},
|
| 2279 |
+
{
|
| 2280 |
+
"epoch": 27.0,
|
| 2281 |
+
"learning_rate": 3.0736842105263154e-06,
|
| 2282 |
+
"loss": 0.1782,
|
| 2283 |
+
"step": 297
|
| 2284 |
+
},
|
| 2285 |
+
{
|
| 2286 |
+
"epoch": 27.09,
|
| 2287 |
+
"learning_rate": 3.069856459330143e-06,
|
| 2288 |
+
"loss": 0.1746,
|
| 2289 |
+
"step": 298
|
| 2290 |
+
},
|
| 2291 |
+
{
|
| 2292 |
+
"epoch": 27.18,
|
| 2293 |
+
"learning_rate": 3.066028708133971e-06,
|
| 2294 |
+
"loss": 0.1644,
|
| 2295 |
+
"step": 299
|
| 2296 |
+
},
|
| 2297 |
+
{
|
| 2298 |
+
"epoch": 27.27,
|
| 2299 |
+
"learning_rate": 3.062200956937799e-06,
|
| 2300 |
+
"loss": 0.1588,
|
| 2301 |
+
"step": 300
|
| 2302 |
+
},
|
| 2303 |
+
{
|
| 2304 |
+
"epoch": 27.27,
|
| 2305 |
+
"eval_accuracy_safe": 0.2797734010277524,
|
| 2306 |
+
"eval_accuracy_unlabeled": NaN,
|
| 2307 |
+
"eval_accuracy_unsafe": 0.997013760053919,
|
| 2308 |
+
"eval_iou_safe": 0.25477705888341623,
|
| 2309 |
+
"eval_iou_unlabeled": NaN,
|
| 2310 |
+
"eval_iou_unsafe": 0.975626203425886,
|
| 2311 |
+
"eval_loss": 0.15269163250923157,
|
| 2312 |
+
"eval_mean_accuracy": 0.6383935805408356,
|
| 2313 |
+
"eval_mean_iou": 0.6152016311546511,
|
| 2314 |
+
"eval_overall_accuracy": 0.9758276298864564,
|
| 2315 |
+
"eval_runtime": 10.7571,
|
| 2316 |
+
"eval_samples_per_second": 6.228,
|
| 2317 |
+
"eval_steps_per_second": 0.465,
|
| 2318 |
+
"step": 300
|
| 2319 |
+
},
|
| 2320 |
+
{
|
| 2321 |
+
"epoch": 27.36,
|
| 2322 |
+
"learning_rate": 3.058373205741627e-06,
|
| 2323 |
+
"loss": 0.1755,
|
| 2324 |
+
"step": 301
|
| 2325 |
+
},
|
| 2326 |
+
{
|
| 2327 |
+
"epoch": 27.45,
|
| 2328 |
+
"learning_rate": 3.0545454545454546e-06,
|
| 2329 |
+
"loss": 0.1739,
|
| 2330 |
+
"step": 302
|
| 2331 |
+
},
|
| 2332 |
+
{
|
| 2333 |
+
"epoch": 27.55,
|
| 2334 |
+
"learning_rate": 3.0507177033492823e-06,
|
| 2335 |
+
"loss": 0.164,
|
| 2336 |
+
"step": 303
|
| 2337 |
+
},
|
| 2338 |
+
{
|
| 2339 |
+
"epoch": 27.64,
|
| 2340 |
+
"learning_rate": 3.0468899521531096e-06,
|
| 2341 |
+
"loss": 0.183,
|
| 2342 |
+
"step": 304
|
| 2343 |
+
},
|
| 2344 |
+
{
|
| 2345 |
+
"epoch": 27.73,
|
| 2346 |
+
"learning_rate": 3.0430622009569374e-06,
|
| 2347 |
+
"loss": 0.1602,
|
| 2348 |
+
"step": 305
|
| 2349 |
+
},
|
| 2350 |
+
{
|
| 2351 |
+
"epoch": 27.82,
|
| 2352 |
+
"learning_rate": 3.0392344497607656e-06,
|
| 2353 |
+
"loss": 0.1449,
|
| 2354 |
+
"step": 306
|
| 2355 |
+
},
|
| 2356 |
+
{
|
| 2357 |
+
"epoch": 27.91,
|
| 2358 |
+
"learning_rate": 3.0354066985645933e-06,
|
| 2359 |
+
"loss": 0.1753,
|
| 2360 |
+
"step": 307
|
| 2361 |
+
},
|
| 2362 |
+
{
|
| 2363 |
+
"epoch": 28.0,
|
| 2364 |
+
"learning_rate": 3.031578947368421e-06,
|
| 2365 |
+
"loss": 0.1904,
|
| 2366 |
+
"step": 308
|
| 2367 |
+
},
|
| 2368 |
+
{
|
| 2369 |
+
"epoch": 28.09,
|
| 2370 |
+
"learning_rate": 3.027751196172249e-06,
|
| 2371 |
+
"loss": 0.1588,
|
| 2372 |
+
"step": 309
|
| 2373 |
+
},
|
| 2374 |
+
{
|
| 2375 |
+
"epoch": 28.18,
|
| 2376 |
+
"learning_rate": 3.023923444976076e-06,
|
| 2377 |
+
"loss": 0.153,
|
| 2378 |
+
"step": 310
|
| 2379 |
+
},
|
| 2380 |
+
{
|
| 2381 |
+
"epoch": 28.18,
|
| 2382 |
+
"eval_accuracy_safe": 0.4287859337473641,
|
| 2383 |
+
"eval_accuracy_unlabeled": NaN,
|
| 2384 |
+
"eval_accuracy_unsafe": 0.994641840706569,
|
| 2385 |
+
"eval_iou_safe": 0.36460202808904973,
|
| 2386 |
+
"eval_iou_unlabeled": NaN,
|
| 2387 |
+
"eval_iou_unsafe": 0.9776442139822791,
|
| 2388 |
+
"eval_loss": 0.14515650272369385,
|
| 2389 |
+
"eval_mean_accuracy": 0.7117138872269666,
|
| 2390 |
+
"eval_mean_iou": 0.6711231210356644,
|
| 2391 |
+
"eval_overall_accuracy": 0.9779273645201726,
|
| 2392 |
+
"eval_runtime": 11.3084,
|
| 2393 |
+
"eval_samples_per_second": 5.925,
|
| 2394 |
+
"eval_steps_per_second": 0.442,
|
| 2395 |
+
"step": 310
|
| 2396 |
+
},
|
| 2397 |
+
{
|
| 2398 |
+
"epoch": 28.27,
|
| 2399 |
+
"learning_rate": 3.020095693779904e-06,
|
| 2400 |
+
"loss": 0.1594,
|
| 2401 |
+
"step": 311
|
| 2402 |
+
},
|
| 2403 |
+
{
|
| 2404 |
+
"epoch": 28.36,
|
| 2405 |
+
"learning_rate": 3.0162679425837317e-06,
|
| 2406 |
+
"loss": 0.1821,
|
| 2407 |
+
"step": 312
|
| 2408 |
+
},
|
| 2409 |
+
{
|
| 2410 |
+
"epoch": 28.45,
|
| 2411 |
+
"learning_rate": 3.01244019138756e-06,
|
| 2412 |
+
"loss": 0.1644,
|
| 2413 |
+
"step": 313
|
| 2414 |
+
},
|
| 2415 |
+
{
|
| 2416 |
+
"epoch": 28.55,
|
| 2417 |
+
"learning_rate": 3.0086124401913876e-06,
|
| 2418 |
+
"loss": 0.1711,
|
| 2419 |
+
"step": 314
|
| 2420 |
+
},
|
| 2421 |
+
{
|
| 2422 |
+
"epoch": 28.64,
|
| 2423 |
+
"learning_rate": 3.0047846889952154e-06,
|
| 2424 |
+
"loss": 0.1571,
|
| 2425 |
+
"step": 315
|
| 2426 |
+
},
|
| 2427 |
+
{
|
| 2428 |
+
"epoch": 28.73,
|
| 2429 |
+
"learning_rate": 3.000956937799043e-06,
|
| 2430 |
+
"loss": 0.1773,
|
| 2431 |
+
"step": 316
|
| 2432 |
+
},
|
| 2433 |
+
{
|
| 2434 |
+
"epoch": 28.82,
|
| 2435 |
+
"learning_rate": 2.9971291866028705e-06,
|
| 2436 |
+
"loss": 0.1596,
|
| 2437 |
+
"step": 317
|
| 2438 |
+
},
|
| 2439 |
+
{
|
| 2440 |
+
"epoch": 28.91,
|
| 2441 |
+
"learning_rate": 2.9933014354066982e-06,
|
| 2442 |
+
"loss": 0.1609,
|
| 2443 |
+
"step": 318
|
| 2444 |
+
},
|
| 2445 |
+
{
|
| 2446 |
+
"epoch": 29.0,
|
| 2447 |
+
"learning_rate": 2.989473684210526e-06,
|
| 2448 |
+
"loss": 0.1647,
|
| 2449 |
+
"step": 319
|
| 2450 |
+
},
|
| 2451 |
+
{
|
| 2452 |
+
"epoch": 29.09,
|
| 2453 |
+
"learning_rate": 2.985645933014354e-06,
|
| 2454 |
+
"loss": 0.1623,
|
| 2455 |
+
"step": 320
|
| 2456 |
+
},
|
| 2457 |
+
{
|
| 2458 |
+
"epoch": 29.09,
|
| 2459 |
+
"eval_accuracy_safe": 0.4401370850536428,
|
| 2460 |
+
"eval_accuracy_unlabeled": NaN,
|
| 2461 |
+
"eval_accuracy_unsafe": 0.9944793282379906,
|
| 2462 |
+
"eval_iou_safe": 0.3725626161484481,
|
| 2463 |
+
"eval_iou_unlabeled": NaN,
|
| 2464 |
+
"eval_iou_unsafe": 0.9778165413193792,
|
| 2465 |
+
"eval_loss": 0.1442144215106964,
|
| 2466 |
+
"eval_mean_accuracy": 0.7173082066458167,
|
| 2467 |
+
"eval_mean_iou": 0.6751895787339137,
|
| 2468 |
+
"eval_overall_accuracy": 0.9781049472182545,
|
| 2469 |
+
"eval_runtime": 11.6309,
|
| 2470 |
+
"eval_samples_per_second": 5.761,
|
| 2471 |
+
"eval_steps_per_second": 0.43,
|
| 2472 |
+
"step": 320
|
| 2473 |
+
},
|
| 2474 |
+
{
|
| 2475 |
+
"epoch": 29.18,
|
| 2476 |
+
"learning_rate": 2.981818181818182e-06,
|
| 2477 |
+
"loss": 0.1641,
|
| 2478 |
+
"step": 321
|
| 2479 |
+
},
|
| 2480 |
+
{
|
| 2481 |
+
"epoch": 29.27,
|
| 2482 |
+
"learning_rate": 2.9779904306220097e-06,
|
| 2483 |
+
"loss": 0.1667,
|
| 2484 |
+
"step": 322
|
| 2485 |
+
},
|
| 2486 |
+
{
|
| 2487 |
+
"epoch": 29.36,
|
| 2488 |
+
"learning_rate": 2.974162679425837e-06,
|
| 2489 |
+
"loss": 0.1811,
|
| 2490 |
+
"step": 323
|
| 2491 |
+
},
|
| 2492 |
+
{
|
| 2493 |
+
"epoch": 29.45,
|
| 2494 |
+
"learning_rate": 2.9703349282296648e-06,
|
| 2495 |
+
"loss": 0.1639,
|
| 2496 |
+
"step": 324
|
| 2497 |
+
},
|
| 2498 |
+
{
|
| 2499 |
+
"epoch": 29.55,
|
| 2500 |
+
"learning_rate": 2.9665071770334925e-06,
|
| 2501 |
+
"loss": 0.1707,
|
| 2502 |
+
"step": 325
|
| 2503 |
+
},
|
| 2504 |
+
{
|
| 2505 |
+
"epoch": 29.64,
|
| 2506 |
+
"learning_rate": 2.9626794258373203e-06,
|
| 2507 |
+
"loss": 0.1458,
|
| 2508 |
+
"step": 326
|
| 2509 |
+
},
|
| 2510 |
+
{
|
| 2511 |
+
"epoch": 29.73,
|
| 2512 |
+
"learning_rate": 2.9588516746411484e-06,
|
| 2513 |
+
"loss": 0.1455,
|
| 2514 |
+
"step": 327
|
| 2515 |
+
},
|
| 2516 |
+
{
|
| 2517 |
+
"epoch": 29.82,
|
| 2518 |
+
"learning_rate": 2.955023923444976e-06,
|
| 2519 |
+
"loss": 0.1499,
|
| 2520 |
+
"step": 328
|
| 2521 |
+
},
|
| 2522 |
+
{
|
| 2523 |
+
"epoch": 29.91,
|
| 2524 |
+
"learning_rate": 2.951196172248804e-06,
|
| 2525 |
+
"loss": 0.1571,
|
| 2526 |
+
"step": 329
|
| 2527 |
+
},
|
| 2528 |
+
{
|
| 2529 |
+
"epoch": 30.0,
|
| 2530 |
+
"learning_rate": 2.9473684210526313e-06,
|
| 2531 |
+
"loss": 0.1603,
|
| 2532 |
+
"step": 330
|
| 2533 |
+
},
|
| 2534 |
+
{
|
| 2535 |
+
"epoch": 30.0,
|
| 2536 |
+
"eval_accuracy_safe": 0.4049618158758062,
|
| 2537 |
+
"eval_accuracy_unlabeled": NaN,
|
| 2538 |
+
"eval_accuracy_unsafe": 0.9958304698088795,
|
| 2539 |
+
"eval_iou_safe": 0.3561710950360333,
|
| 2540 |
+
"eval_iou_unlabeled": NaN,
|
| 2541 |
+
"eval_iou_unsafe": 0.9781153749897787,
|
| 2542 |
+
"eval_loss": 0.14068810641765594,
|
| 2543 |
+
"eval_mean_accuracy": 0.7003961428423429,
|
| 2544 |
+
"eval_mean_iou": 0.6671432350129061,
|
| 2545 |
+
"eval_overall_accuracy": 0.9783771571828358,
|
| 2546 |
+
"eval_runtime": 13.5235,
|
| 2547 |
+
"eval_samples_per_second": 4.954,
|
| 2548 |
+
"eval_steps_per_second": 0.37,
|
| 2549 |
+
"step": 330
|
| 2550 |
+
},
|
| 2551 |
+
{
|
| 2552 |
+
"epoch": 30.09,
|
| 2553 |
+
"learning_rate": 2.943540669856459e-06,
|
| 2554 |
+
"loss": 0.1504,
|
| 2555 |
+
"step": 331
|
| 2556 |
+
},
|
| 2557 |
+
{
|
| 2558 |
+
"epoch": 30.18,
|
| 2559 |
+
"learning_rate": 2.939712918660287e-06,
|
| 2560 |
+
"loss": 0.1434,
|
| 2561 |
+
"step": 332
|
| 2562 |
+
},
|
| 2563 |
+
{
|
| 2564 |
+
"epoch": 30.27,
|
| 2565 |
+
"learning_rate": 2.9358851674641146e-06,
|
| 2566 |
+
"loss": 0.1525,
|
| 2567 |
+
"step": 333
|
| 2568 |
+
},
|
| 2569 |
+
{
|
| 2570 |
+
"epoch": 30.36,
|
| 2571 |
+
"learning_rate": 2.9320574162679427e-06,
|
| 2572 |
+
"loss": 0.1589,
|
| 2573 |
+
"step": 334
|
| 2574 |
+
},
|
| 2575 |
+
{
|
| 2576 |
+
"epoch": 30.45,
|
| 2577 |
+
"learning_rate": 2.9282296650717705e-06,
|
| 2578 |
+
"loss": 0.1517,
|
| 2579 |
+
"step": 335
|
| 2580 |
+
},
|
| 2581 |
+
{
|
| 2582 |
+
"epoch": 30.55,
|
| 2583 |
+
"learning_rate": 2.924401913875598e-06,
|
| 2584 |
+
"loss": 0.1638,
|
| 2585 |
+
"step": 336
|
| 2586 |
+
},
|
| 2587 |
+
{
|
| 2588 |
+
"epoch": 30.64,
|
| 2589 |
+
"learning_rate": 2.9205741626794256e-06,
|
| 2590 |
+
"loss": 0.1892,
|
| 2591 |
+
"step": 337
|
| 2592 |
+
},
|
| 2593 |
+
{
|
| 2594 |
+
"epoch": 30.73,
|
| 2595 |
+
"learning_rate": 2.9167464114832533e-06,
|
| 2596 |
+
"loss": 0.1542,
|
| 2597 |
+
"step": 338
|
| 2598 |
+
},
|
| 2599 |
+
{
|
| 2600 |
+
"epoch": 30.82,
|
| 2601 |
+
"learning_rate": 2.912918660287081e-06,
|
| 2602 |
+
"loss": 0.1422,
|
| 2603 |
+
"step": 339
|
| 2604 |
+
},
|
| 2605 |
+
{
|
| 2606 |
+
"epoch": 30.91,
|
| 2607 |
+
"learning_rate": 2.909090909090909e-06,
|
| 2608 |
+
"loss": 0.1694,
|
| 2609 |
+
"step": 340
|
| 2610 |
+
},
|
| 2611 |
+
{
|
| 2612 |
+
"epoch": 30.91,
|
| 2613 |
+
"eval_accuracy_safe": 0.4584928354169799,
|
| 2614 |
+
"eval_accuracy_unlabeled": NaN,
|
| 2615 |
+
"eval_accuracy_unsafe": 0.9947577115099778,
|
| 2616 |
+
"eval_iou_safe": 0.39112826314300936,
|
| 2617 |
+
"eval_iou_unlabeled": NaN,
|
| 2618 |
+
"eval_iou_unsafe": 0.9786278609893545,
|
| 2619 |
+
"eval_loss": 0.1343463510274887,
|
| 2620 |
+
"eval_mean_accuracy": 0.7266252734634788,
|
| 2621 |
+
"eval_mean_iou": 0.684878062066182,
|
| 2622 |
+
"eval_overall_accuracy": 0.9789173069284923,
|
| 2623 |
+
"eval_runtime": 11.7988,
|
| 2624 |
+
"eval_samples_per_second": 5.679,
|
| 2625 |
+
"eval_steps_per_second": 0.424,
|
| 2626 |
+
"step": 340
|
| 2627 |
+
},
|
| 2628 |
+
{
|
| 2629 |
+
"epoch": 31.0,
|
| 2630 |
+
"learning_rate": 2.905263157894737e-06,
|
| 2631 |
+
"loss": 0.1586,
|
| 2632 |
+
"step": 341
|
| 2633 |
+
},
|
| 2634 |
+
{
|
| 2635 |
+
"epoch": 31.09,
|
| 2636 |
+
"learning_rate": 2.9014354066985648e-06,
|
| 2637 |
+
"loss": 0.1398,
|
| 2638 |
+
"step": 342
|
| 2639 |
+
},
|
| 2640 |
+
{
|
| 2641 |
+
"epoch": 31.18,
|
| 2642 |
+
"learning_rate": 2.897607655502392e-06,
|
| 2643 |
+
"loss": 0.1652,
|
| 2644 |
+
"step": 343
|
| 2645 |
+
},
|
| 2646 |
+
{
|
| 2647 |
+
"epoch": 31.27,
|
| 2648 |
+
"learning_rate": 2.89377990430622e-06,
|
| 2649 |
+
"loss": 0.1538,
|
| 2650 |
+
"step": 344
|
| 2651 |
+
},
|
| 2652 |
+
{
|
| 2653 |
+
"epoch": 31.36,
|
| 2654 |
+
"learning_rate": 2.8899521531100476e-06,
|
| 2655 |
+
"loss": 0.1564,
|
| 2656 |
+
"step": 345
|
| 2657 |
+
},
|
| 2658 |
+
{
|
| 2659 |
+
"epoch": 31.45,
|
| 2660 |
+
"learning_rate": 2.8861244019138754e-06,
|
| 2661 |
+
"loss": 0.1537,
|
| 2662 |
+
"step": 346
|
| 2663 |
+
},
|
| 2664 |
+
{
|
| 2665 |
+
"epoch": 31.55,
|
| 2666 |
+
"learning_rate": 2.882296650717703e-06,
|
| 2667 |
+
"loss": 0.1463,
|
| 2668 |
+
"step": 347
|
| 2669 |
+
},
|
| 2670 |
+
{
|
| 2671 |
+
"epoch": 31.64,
|
| 2672 |
+
"learning_rate": 2.8784688995215313e-06,
|
| 2673 |
+
"loss": 0.1446,
|
| 2674 |
+
"step": 348
|
| 2675 |
+
},
|
| 2676 |
+
{
|
| 2677 |
+
"epoch": 31.73,
|
| 2678 |
+
"learning_rate": 2.8746411483253586e-06,
|
| 2679 |
+
"loss": 0.1421,
|
| 2680 |
+
"step": 349
|
| 2681 |
+
},
|
| 2682 |
+
{
|
| 2683 |
+
"epoch": 31.82,
|
| 2684 |
+
"learning_rate": 2.8708133971291864e-06,
|
| 2685 |
+
"loss": 0.1585,
|
| 2686 |
+
"step": 350
|
| 2687 |
+
},
|
| 2688 |
+
{
|
| 2689 |
+
"epoch": 31.82,
|
| 2690 |
+
"eval_accuracy_safe": 0.38612418610568194,
|
| 2691 |
+
"eval_accuracy_unlabeled": NaN,
|
| 2692 |
+
"eval_accuracy_unsafe": 0.9962063605620138,
|
| 2693 |
+
"eval_iou_safe": 0.34333223643618116,
|
| 2694 |
+
"eval_iou_unlabeled": NaN,
|
| 2695 |
+
"eval_iou_unsafe": 0.9779338359482509,
|
| 2696 |
+
"eval_loss": 0.1352754831314087,
|
| 2697 |
+
"eval_mean_accuracy": 0.6911652733338479,
|
| 2698 |
+
"eval_mean_iou": 0.660633036192216,
|
| 2699 |
+
"eval_overall_accuracy": 0.9781855113470732,
|
| 2700 |
+
"eval_runtime": 10.374,
|
| 2701 |
+
"eval_samples_per_second": 6.458,
|
| 2702 |
+
"eval_steps_per_second": 0.482,
|
| 2703 |
+
"step": 350
|
| 2704 |
+
},
|
| 2705 |
+
{
|
| 2706 |
+
"epoch": 31.91,
|
| 2707 |
+
"learning_rate": 2.866985645933014e-06,
|
| 2708 |
+
"loss": 0.1652,
|
| 2709 |
+
"step": 351
|
| 2710 |
+
},
|
| 2711 |
+
{
|
| 2712 |
+
"epoch": 32.0,
|
| 2713 |
+
"learning_rate": 2.863157894736842e-06,
|
| 2714 |
+
"loss": 0.1985,
|
| 2715 |
+
"step": 352
|
| 2716 |
+
},
|
| 2717 |
+
{
|
| 2718 |
+
"epoch": 32.09,
|
| 2719 |
+
"learning_rate": 2.8593301435406697e-06,
|
| 2720 |
+
"loss": 0.1471,
|
| 2721 |
+
"step": 353
|
| 2722 |
+
},
|
| 2723 |
+
{
|
| 2724 |
+
"epoch": 32.18,
|
| 2725 |
+
"learning_rate": 2.855502392344498e-06,
|
| 2726 |
+
"loss": 0.1474,
|
| 2727 |
+
"step": 354
|
| 2728 |
+
},
|
| 2729 |
+
{
|
| 2730 |
+
"epoch": 32.27,
|
| 2731 |
+
"learning_rate": 2.851674641148325e-06,
|
| 2732 |
+
"loss": 0.1454,
|
| 2733 |
+
"step": 355
|
| 2734 |
+
},
|
| 2735 |
+
{
|
| 2736 |
+
"epoch": 32.36,
|
| 2737 |
+
"learning_rate": 2.847846889952153e-06,
|
| 2738 |
+
"loss": 0.1432,
|
| 2739 |
+
"step": 356
|
| 2740 |
+
},
|
| 2741 |
+
{
|
| 2742 |
+
"epoch": 32.45,
|
| 2743 |
+
"learning_rate": 2.8440191387559807e-06,
|
| 2744 |
+
"loss": 0.1323,
|
| 2745 |
+
"step": 357
|
| 2746 |
+
},
|
| 2747 |
+
{
|
| 2748 |
+
"epoch": 32.55,
|
| 2749 |
+
"learning_rate": 2.8401913875598084e-06,
|
| 2750 |
+
"loss": 0.1604,
|
| 2751 |
+
"step": 358
|
| 2752 |
+
},
|
| 2753 |
+
{
|
| 2754 |
+
"epoch": 32.64,
|
| 2755 |
+
"learning_rate": 2.836363636363636e-06,
|
| 2756 |
+
"loss": 0.1515,
|
| 2757 |
+
"step": 359
|
| 2758 |
+
},
|
| 2759 |
+
{
|
| 2760 |
+
"epoch": 32.73,
|
| 2761 |
+
"learning_rate": 2.832535885167464e-06,
|
| 2762 |
+
"loss": 0.1342,
|
| 2763 |
+
"step": 360
|
| 2764 |
+
},
|
| 2765 |
+
{
|
| 2766 |
+
"epoch": 32.73,
|
| 2767 |
+
"eval_accuracy_safe": 0.4963030211911288,
|
| 2768 |
+
"eval_accuracy_unlabeled": NaN,
|
| 2769 |
+
"eval_accuracy_unsafe": 0.9938814935611622,
|
| 2770 |
+
"eval_iou_safe": 0.4132349849379946,
|
| 2771 |
+
"eval_iou_unlabeled": NaN,
|
| 2772 |
+
"eval_iou_unsafe": 0.9788741179805001,
|
| 2773 |
+
"eval_loss": 0.1338294893503189,
|
| 2774 |
+
"eval_mean_accuracy": 0.7450922573761455,
|
| 2775 |
+
"eval_mean_iou": 0.6960545514592473,
|
| 2776 |
+
"eval_overall_accuracy": 0.9791838233150653,
|
| 2777 |
+
"eval_runtime": 12.0645,
|
| 2778 |
+
"eval_samples_per_second": 5.553,
|
| 2779 |
+
"eval_steps_per_second": 0.414,
|
| 2780 |
+
"step": 360
|
| 2781 |
+
},
|
| 2782 |
+
{
|
| 2783 |
+
"epoch": 32.82,
|
| 2784 |
+
"learning_rate": 2.828708133971292e-06,
|
| 2785 |
+
"loss": 0.1544,
|
| 2786 |
+
"step": 361
|
| 2787 |
+
},
|
| 2788 |
+
{
|
| 2789 |
+
"epoch": 32.91,
|
| 2790 |
+
"learning_rate": 2.8248803827751195e-06,
|
| 2791 |
+
"loss": 0.1796,
|
| 2792 |
+
"step": 362
|
| 2793 |
+
},
|
| 2794 |
+
{
|
| 2795 |
+
"epoch": 33.0,
|
| 2796 |
+
"learning_rate": 2.8210526315789472e-06,
|
| 2797 |
+
"loss": 0.15,
|
| 2798 |
+
"step": 363
|
| 2799 |
+
},
|
| 2800 |
+
{
|
| 2801 |
+
"epoch": 33.09,
|
| 2802 |
+
"learning_rate": 2.817224880382775e-06,
|
| 2803 |
+
"loss": 0.1424,
|
| 2804 |
+
"step": 364
|
| 2805 |
+
},
|
| 2806 |
+
{
|
| 2807 |
+
"epoch": 33.18,
|
| 2808 |
+
"learning_rate": 2.8133971291866027e-06,
|
| 2809 |
+
"loss": 0.1369,
|
| 2810 |
+
"step": 365
|
| 2811 |
+
},
|
| 2812 |
+
{
|
| 2813 |
+
"epoch": 33.27,
|
| 2814 |
+
"learning_rate": 2.8095693779904305e-06,
|
| 2815 |
+
"loss": 0.1645,
|
| 2816 |
+
"step": 366
|
| 2817 |
+
},
|
| 2818 |
+
{
|
| 2819 |
+
"epoch": 33.36,
|
| 2820 |
+
"learning_rate": 2.8057416267942582e-06,
|
| 2821 |
+
"loss": 0.1385,
|
| 2822 |
+
"step": 367
|
| 2823 |
+
},
|
| 2824 |
+
{
|
| 2825 |
+
"epoch": 33.45,
|
| 2826 |
+
"learning_rate": 2.801913875598086e-06,
|
| 2827 |
+
"loss": 0.1455,
|
| 2828 |
+
"step": 368
|
| 2829 |
+
},
|
| 2830 |
+
{
|
| 2831 |
+
"epoch": 33.55,
|
| 2832 |
+
"learning_rate": 2.7980861244019138e-06,
|
| 2833 |
+
"loss": 0.1577,
|
| 2834 |
+
"step": 369
|
| 2835 |
+
},
|
| 2836 |
+
{
|
| 2837 |
+
"epoch": 33.64,
|
| 2838 |
+
"learning_rate": 2.7942583732057415e-06,
|
| 2839 |
+
"loss": 0.1358,
|
| 2840 |
+
"step": 370
|
| 2841 |
+
},
|
| 2842 |
+
{
|
| 2843 |
+
"epoch": 33.64,
|
| 2844 |
+
"eval_accuracy_safe": 0.5048110839973632,
|
| 2845 |
+
"eval_accuracy_unlabeled": NaN,
|
| 2846 |
+
"eval_accuracy_unsafe": 0.993699327057575,
|
| 2847 |
+
"eval_iou_safe": 0.41823486576088,
|
| 2848 |
+
"eval_iou_unlabeled": NaN,
|
| 2849 |
+
"eval_iou_unsafe": 0.9789443854555531,
|
| 2850 |
+
"eval_loss": 0.13420753180980682,
|
| 2851 |
+
"eval_mean_accuracy": 0.749255205527469,
|
| 2852 |
+
"eval_mean_iou": 0.6985896256082165,
|
| 2853 |
+
"eval_overall_accuracy": 0.9792583522511952,
|
| 2854 |
+
"eval_runtime": 10.8902,
|
| 2855 |
+
"eval_samples_per_second": 6.152,
|
| 2856 |
+
"eval_steps_per_second": 0.459,
|
| 2857 |
+
"step": 370
|
| 2858 |
+
},
|
| 2859 |
+
{
|
| 2860 |
+
"epoch": 33.73,
|
| 2861 |
+
"learning_rate": 2.7904306220095693e-06,
|
| 2862 |
+
"loss": 0.1426,
|
| 2863 |
+
"step": 371
|
| 2864 |
+
},
|
| 2865 |
+
{
|
| 2866 |
+
"epoch": 33.82,
|
| 2867 |
+
"learning_rate": 2.786602870813397e-06,
|
| 2868 |
+
"loss": 0.1332,
|
| 2869 |
+
"step": 372
|
| 2870 |
+
},
|
| 2871 |
+
{
|
| 2872 |
+
"epoch": 33.91,
|
| 2873 |
+
"learning_rate": 2.7827751196172248e-06,
|
| 2874 |
+
"loss": 0.1415,
|
| 2875 |
+
"step": 373
|
| 2876 |
+
},
|
| 2877 |
+
{
|
| 2878 |
+
"epoch": 34.0,
|
| 2879 |
+
"learning_rate": 2.7789473684210525e-06,
|
| 2880 |
+
"loss": 0.1376,
|
| 2881 |
+
"step": 374
|
| 2882 |
+
},
|
| 2883 |
+
{
|
| 2884 |
+
"epoch": 34.09,
|
| 2885 |
+
"learning_rate": 2.7751196172248803e-06,
|
| 2886 |
+
"loss": 0.1378,
|
| 2887 |
+
"step": 375
|
| 2888 |
+
},
|
| 2889 |
+
{
|
| 2890 |
+
"epoch": 34.18,
|
| 2891 |
+
"learning_rate": 2.771291866028708e-06,
|
| 2892 |
+
"loss": 0.1321,
|
| 2893 |
+
"step": 376
|
| 2894 |
+
},
|
| 2895 |
+
{
|
| 2896 |
+
"epoch": 34.27,
|
| 2897 |
+
"learning_rate": 2.767464114832536e-06,
|
| 2898 |
+
"loss": 0.1382,
|
| 2899 |
+
"step": 377
|
| 2900 |
+
},
|
| 2901 |
+
{
|
| 2902 |
+
"epoch": 34.36,
|
| 2903 |
+
"learning_rate": 2.7636363636363635e-06,
|
| 2904 |
+
"loss": 0.1418,
|
| 2905 |
+
"step": 378
|
| 2906 |
+
},
|
| 2907 |
+
{
|
| 2908 |
+
"epoch": 34.45,
|
| 2909 |
+
"learning_rate": 2.7598086124401913e-06,
|
| 2910 |
+
"loss": 0.1481,
|
| 2911 |
+
"step": 379
|
| 2912 |
+
},
|
| 2913 |
+
{
|
| 2914 |
+
"epoch": 34.55,
|
| 2915 |
+
"learning_rate": 2.755980861244019e-06,
|
| 2916 |
+
"loss": 0.1493,
|
| 2917 |
+
"step": 380
|
| 2918 |
+
},
|
| 2919 |
+
{
|
| 2920 |
+
"epoch": 34.55,
|
| 2921 |
+
"eval_accuracy_safe": 0.48086938755054914,
|
| 2922 |
+
"eval_accuracy_unlabeled": NaN,
|
| 2923 |
+
"eval_accuracy_unsafe": 0.9945674487173425,
|
| 2924 |
+
"eval_iou_safe": 0.40804123003145243,
|
| 2925 |
+
"eval_iou_unlabeled": NaN,
|
| 2926 |
+
"eval_iou_unsafe": 0.9790967191500697,
|
| 2927 |
+
"eval_loss": 0.12969090044498444,
|
| 2928 |
+
"eval_mean_accuracy": 0.7377184181339458,
|
| 2929 |
+
"eval_mean_iou": 0.6935689745907611,
|
| 2930 |
+
"eval_overall_accuracy": 0.9793936316646746,
|
| 2931 |
+
"eval_runtime": 10.4894,
|
| 2932 |
+
"eval_samples_per_second": 6.387,
|
| 2933 |
+
"eval_steps_per_second": 0.477,
|
| 2934 |
+
"step": 380
|
| 2935 |
+
},
|
| 2936 |
+
{
|
| 2937 |
+
"epoch": 34.64,
|
| 2938 |
+
"learning_rate": 2.7521531100478464e-06,
|
| 2939 |
+
"loss": 0.1437,
|
| 2940 |
+
"step": 381
|
| 2941 |
+
},
|
| 2942 |
+
{
|
| 2943 |
+
"epoch": 34.73,
|
| 2944 |
+
"learning_rate": 2.7483253588516746e-06,
|
| 2945 |
+
"loss": 0.1472,
|
| 2946 |
+
"step": 382
|
| 2947 |
+
},
|
| 2948 |
+
{
|
| 2949 |
+
"epoch": 34.82,
|
| 2950 |
+
"learning_rate": 2.7444976076555023e-06,
|
| 2951 |
+
"loss": 0.1412,
|
| 2952 |
+
"step": 383
|
| 2953 |
+
},
|
| 2954 |
+
{
|
| 2955 |
+
"epoch": 34.91,
|
| 2956 |
+
"learning_rate": 2.74066985645933e-06,
|
| 2957 |
+
"loss": 0.1484,
|
| 2958 |
+
"step": 384
|
| 2959 |
+
},
|
| 2960 |
+
{
|
| 2961 |
+
"epoch": 35.0,
|
| 2962 |
+
"learning_rate": 2.736842105263158e-06,
|
| 2963 |
+
"loss": 0.154,
|
| 2964 |
+
"step": 385
|
| 2965 |
+
},
|
| 2966 |
+
{
|
| 2967 |
+
"epoch": 35.09,
|
| 2968 |
+
"learning_rate": 2.7330143540669856e-06,
|
| 2969 |
+
"loss": 0.1348,
|
| 2970 |
+
"step": 386
|
| 2971 |
+
},
|
| 2972 |
+
{
|
| 2973 |
+
"epoch": 35.18,
|
| 2974 |
+
"learning_rate": 2.7291866028708133e-06,
|
| 2975 |
+
"loss": 0.139,
|
| 2976 |
+
"step": 387
|
| 2977 |
+
},
|
| 2978 |
+
{
|
| 2979 |
+
"epoch": 35.27,
|
| 2980 |
+
"learning_rate": 2.7253588516746407e-06,
|
| 2981 |
+
"loss": 0.1368,
|
| 2982 |
+
"step": 388
|
| 2983 |
+
},
|
| 2984 |
+
{
|
| 2985 |
+
"epoch": 35.36,
|
| 2986 |
+
"learning_rate": 2.721531100478469e-06,
|
| 2987 |
+
"loss": 0.1499,
|
| 2988 |
+
"step": 389
|
| 2989 |
+
},
|
| 2990 |
+
{
|
| 2991 |
+
"epoch": 35.45,
|
| 2992 |
+
"learning_rate": 2.7177033492822966e-06,
|
| 2993 |
+
"loss": 0.1435,
|
| 2994 |
+
"step": 390
|
| 2995 |
+
},
|
| 2996 |
+
{
|
| 2997 |
+
"epoch": 35.45,
|
| 2998 |
+
"eval_accuracy_safe": 0.5658305095200096,
|
| 2999 |
+
"eval_accuracy_unlabeled": NaN,
|
| 3000 |
+
"eval_accuracy_unsafe": 0.9923169150369561,
|
| 3001 |
+
"eval_iou_safe": 0.4517890479393129,
|
| 3002 |
+
"eval_iou_unlabeled": NaN,
|
| 3003 |
+
"eval_iou_unsafe": 0.979374460845436,
|
| 3004 |
+
"eval_loss": 0.12713803350925446,
|
| 3005 |
+
"eval_mean_accuracy": 0.7790737122784828,
|
| 3006 |
+
"eval_mean_iou": 0.7155817543923745,
|
| 3007 |
+
"eval_overall_accuracy": 0.9797191904551947,
|
| 3008 |
+
"eval_runtime": 11.095,
|
| 3009 |
+
"eval_samples_per_second": 6.039,
|
| 3010 |
+
"eval_steps_per_second": 0.451,
|
| 3011 |
+
"step": 390
|
| 3012 |
+
},
|
| 3013 |
+
{
|
| 3014 |
+
"epoch": 35.55,
|
| 3015 |
+
"learning_rate": 2.7138755980861244e-06,
|
| 3016 |
+
"loss": 0.1389,
|
| 3017 |
+
"step": 391
|
| 3018 |
+
},
|
| 3019 |
+
{
|
| 3020 |
+
"epoch": 35.64,
|
| 3021 |
+
"learning_rate": 2.710047846889952e-06,
|
| 3022 |
+
"loss": 0.1338,
|
| 3023 |
+
"step": 392
|
| 3024 |
+
},
|
| 3025 |
+
{
|
| 3026 |
+
"epoch": 35.73,
|
| 3027 |
+
"learning_rate": 2.70622009569378e-06,
|
| 3028 |
+
"loss": 0.1411,
|
| 3029 |
+
"step": 393
|
| 3030 |
+
},
|
| 3031 |
+
{
|
| 3032 |
+
"epoch": 35.82,
|
| 3033 |
+
"learning_rate": 2.7023923444976072e-06,
|
| 3034 |
+
"loss": 0.1556,
|
| 3035 |
+
"step": 394
|
| 3036 |
+
},
|
| 3037 |
+
{
|
| 3038 |
+
"epoch": 35.91,
|
| 3039 |
+
"learning_rate": 2.698564593301435e-06,
|
| 3040 |
+
"loss": 0.1377,
|
| 3041 |
+
"step": 395
|
| 3042 |
+
},
|
| 3043 |
+
{
|
| 3044 |
+
"epoch": 36.0,
|
| 3045 |
+
"learning_rate": 2.694736842105263e-06,
|
| 3046 |
+
"loss": 0.1369,
|
| 3047 |
+
"step": 396
|
| 3048 |
+
},
|
| 3049 |
+
{
|
| 3050 |
+
"epoch": 36.09,
|
| 3051 |
+
"learning_rate": 2.690909090909091e-06,
|
| 3052 |
+
"loss": 0.1292,
|
| 3053 |
+
"step": 397
|
| 3054 |
+
},
|
| 3055 |
+
{
|
| 3056 |
+
"epoch": 36.18,
|
| 3057 |
+
"learning_rate": 2.6870813397129187e-06,
|
| 3058 |
+
"loss": 0.1583,
|
| 3059 |
+
"step": 398
|
| 3060 |
+
},
|
| 3061 |
+
{
|
| 3062 |
+
"epoch": 36.27,
|
| 3063 |
+
"learning_rate": 2.6832535885167464e-06,
|
| 3064 |
+
"loss": 0.1229,
|
| 3065 |
+
"step": 399
|
| 3066 |
+
},
|
| 3067 |
+
{
|
| 3068 |
+
"epoch": 36.36,
|
| 3069 |
+
"learning_rate": 2.679425837320574e-06,
|
| 3070 |
+
"loss": 0.1305,
|
| 3071 |
+
"step": 400
|
| 3072 |
+
},
|
| 3073 |
+
{
|
| 3074 |
+
"epoch": 36.36,
|
| 3075 |
+
"eval_accuracy_safe": 0.4157327843763131,
|
| 3076 |
+
"eval_accuracy_unlabeled": NaN,
|
| 3077 |
+
"eval_accuracy_unsafe": 0.996766177881572,
|
| 3078 |
+
"eval_iou_safe": 0.3758054230365799,
|
| 3079 |
+
"eval_iou_unlabeled": NaN,
|
| 3080 |
+
"eval_iou_unsafe": 0.9793497969358366,
|
| 3081 |
+
"eval_loss": 0.12249775975942612,
|
| 3082 |
+
"eval_mean_accuracy": 0.7062494811289426,
|
| 3083 |
+
"eval_mean_iou": 0.6775776099862082,
|
| 3084 |
+
"eval_overall_accuracy": 0.9796033830785039,
|
| 3085 |
+
"eval_runtime": 11.1918,
|
| 3086 |
+
"eval_samples_per_second": 5.987,
|
| 3087 |
+
"eval_steps_per_second": 0.447,
|
| 3088 |
+
"step": 400
|
| 3089 |
+
},
|
| 3090 |
+
{
|
| 3091 |
+
"epoch": 36.45,
|
| 3092 |
+
"learning_rate": 2.6755980861244015e-06,
|
| 3093 |
+
"loss": 0.1488,
|
| 3094 |
+
"step": 401
|
| 3095 |
+
},
|
| 3096 |
+
{
|
| 3097 |
+
"epoch": 36.55,
|
| 3098 |
+
"learning_rate": 2.6717703349282293e-06,
|
| 3099 |
+
"loss": 0.1464,
|
| 3100 |
+
"step": 402
|
| 3101 |
+
},
|
| 3102 |
+
{
|
| 3103 |
+
"epoch": 36.64,
|
| 3104 |
+
"learning_rate": 2.6679425837320574e-06,
|
| 3105 |
+
"loss": 0.1271,
|
| 3106 |
+
"step": 403
|
| 3107 |
+
},
|
| 3108 |
+
{
|
| 3109 |
+
"epoch": 36.73,
|
| 3110 |
+
"learning_rate": 2.664114832535885e-06,
|
| 3111 |
+
"loss": 0.1289,
|
| 3112 |
+
"step": 404
|
| 3113 |
+
},
|
| 3114 |
+
{
|
| 3115 |
+
"epoch": 36.82,
|
| 3116 |
+
"learning_rate": 2.660287081339713e-06,
|
| 3117 |
+
"loss": 0.1291,
|
| 3118 |
+
"step": 405
|
| 3119 |
+
},
|
| 3120 |
+
{
|
| 3121 |
+
"epoch": 36.91,
|
| 3122 |
+
"learning_rate": 2.6564593301435407e-06,
|
| 3123 |
+
"loss": 0.1388,
|
| 3124 |
+
"step": 406
|
| 3125 |
+
},
|
| 3126 |
+
{
|
| 3127 |
+
"epoch": 37.0,
|
| 3128 |
+
"learning_rate": 2.652631578947368e-06,
|
| 3129 |
+
"loss": 0.1631,
|
| 3130 |
+
"step": 407
|
| 3131 |
+
},
|
| 3132 |
+
{
|
| 3133 |
+
"epoch": 37.09,
|
| 3134 |
+
"learning_rate": 2.648803827751196e-06,
|
| 3135 |
+
"loss": 0.1404,
|
| 3136 |
+
"step": 408
|
| 3137 |
+
},
|
| 3138 |
+
{
|
| 3139 |
+
"epoch": 37.18,
|
| 3140 |
+
"learning_rate": 2.6449760765550235e-06,
|
| 3141 |
+
"loss": 0.1367,
|
| 3142 |
+
"step": 409
|
| 3143 |
+
},
|
| 3144 |
+
{
|
| 3145 |
+
"epoch": 37.27,
|
| 3146 |
+
"learning_rate": 2.6411483253588517e-06,
|
| 3147 |
+
"loss": 0.1496,
|
| 3148 |
+
"step": 410
|
| 3149 |
+
},
|
| 3150 |
+
{
|
| 3151 |
+
"epoch": 37.27,
|
| 3152 |
+
"eval_accuracy_safe": 0.5385040921199225,
|
| 3153 |
+
"eval_accuracy_unlabeled": NaN,
|
| 3154 |
+
"eval_accuracy_unsafe": 0.9933532400351403,
|
| 3155 |
+
"eval_iou_safe": 0.44198577745433837,
|
| 3156 |
+
"eval_iou_unlabeled": NaN,
|
| 3157 |
+
"eval_iou_unsafe": 0.9795931225563403,
|
| 3158 |
+
"eval_loss": 0.12370359897613525,
|
| 3159 |
+
"eval_mean_accuracy": 0.7659286660775313,
|
| 3160 |
+
"eval_mean_iou": 0.7107894500053393,
|
| 3161 |
+
"eval_overall_accuracy": 0.9799177255203475,
|
| 3162 |
+
"eval_runtime": 10.3073,
|
| 3163 |
+
"eval_samples_per_second": 6.5,
|
| 3164 |
+
"eval_steps_per_second": 0.485,
|
| 3165 |
+
"step": 410
|
| 3166 |
+
},
|
| 3167 |
+
{
|
| 3168 |
+
"epoch": 37.36,
|
| 3169 |
+
"learning_rate": 2.6373205741626795e-06,
|
| 3170 |
+
"loss": 0.13,
|
| 3171 |
+
"step": 411
|
| 3172 |
+
},
|
| 3173 |
+
{
|
| 3174 |
+
"epoch": 37.45,
|
| 3175 |
+
"learning_rate": 2.6334928229665072e-06,
|
| 3176 |
+
"loss": 0.1364,
|
| 3177 |
+
"step": 412
|
| 3178 |
+
},
|
| 3179 |
+
{
|
| 3180 |
+
"epoch": 37.55,
|
| 3181 |
+
"learning_rate": 2.629665071770335e-06,
|
| 3182 |
+
"loss": 0.127,
|
| 3183 |
+
"step": 413
|
| 3184 |
+
},
|
| 3185 |
+
{
|
| 3186 |
+
"epoch": 37.64,
|
| 3187 |
+
"learning_rate": 2.6258373205741623e-06,
|
| 3188 |
+
"loss": 0.1319,
|
| 3189 |
+
"step": 414
|
| 3190 |
+
},
|
| 3191 |
+
{
|
| 3192 |
+
"epoch": 37.73,
|
| 3193 |
+
"learning_rate": 2.62200956937799e-06,
|
| 3194 |
+
"loss": 0.1428,
|
| 3195 |
+
"step": 415
|
| 3196 |
+
},
|
| 3197 |
+
{
|
| 3198 |
+
"epoch": 37.82,
|
| 3199 |
+
"learning_rate": 2.6181818181818183e-06,
|
| 3200 |
+
"loss": 0.1363,
|
| 3201 |
+
"step": 416
|
| 3202 |
+
},
|
| 3203 |
+
{
|
| 3204 |
+
"epoch": 37.91,
|
| 3205 |
+
"learning_rate": 2.614354066985646e-06,
|
| 3206 |
+
"loss": 0.1275,
|
| 3207 |
+
"step": 417
|
| 3208 |
+
},
|
| 3209 |
+
{
|
| 3210 |
+
"epoch": 38.0,
|
| 3211 |
+
"learning_rate": 2.6105263157894738e-06,
|
| 3212 |
+
"loss": 0.1578,
|
| 3213 |
+
"step": 418
|
| 3214 |
+
},
|
| 3215 |
+
{
|
| 3216 |
+
"epoch": 38.09,
|
| 3217 |
+
"learning_rate": 2.6066985645933015e-06,
|
| 3218 |
+
"loss": 0.1307,
|
| 3219 |
+
"step": 419
|
| 3220 |
+
},
|
| 3221 |
+
{
|
| 3222 |
+
"epoch": 38.18,
|
| 3223 |
+
"learning_rate": 2.602870813397129e-06,
|
| 3224 |
+
"loss": 0.1445,
|
| 3225 |
+
"step": 420
|
| 3226 |
+
},
|
| 3227 |
+
{
|
| 3228 |
+
"epoch": 38.18,
|
| 3229 |
+
"eval_accuracy_safe": 0.5762718725062741,
|
| 3230 |
+
"eval_accuracy_unlabeled": NaN,
|
| 3231 |
+
"eval_accuracy_unsafe": 0.9924268602954817,
|
| 3232 |
+
"eval_iou_safe": 0.4614568943562515,
|
| 3233 |
+
"eval_iou_unlabeled": NaN,
|
| 3234 |
+
"eval_iou_unsafe": 0.9797902966849596,
|
| 3235 |
+
"eval_loss": 0.12068379670381546,
|
| 3236 |
+
"eval_mean_accuracy": 0.7843493664008778,
|
| 3237 |
+
"eval_mean_iou": 0.7206235955206055,
|
| 3238 |
+
"eval_overall_accuracy": 0.9801343092277869,
|
| 3239 |
+
"eval_runtime": 10.7505,
|
| 3240 |
+
"eval_samples_per_second": 6.232,
|
| 3241 |
+
"eval_steps_per_second": 0.465,
|
| 3242 |
+
"step": 420
|
| 3243 |
+
},
|
| 3244 |
+
{
|
| 3245 |
+
"epoch": 38.27,
|
| 3246 |
+
"learning_rate": 2.5990430622009566e-06,
|
| 3247 |
+
"loss": 0.1382,
|
| 3248 |
+
"step": 421
|
| 3249 |
+
},
|
| 3250 |
+
{
|
| 3251 |
+
"epoch": 38.36,
|
| 3252 |
+
"learning_rate": 2.5952153110047844e-06,
|
| 3253 |
+
"loss": 0.133,
|
| 3254 |
+
"step": 422
|
| 3255 |
+
},
|
| 3256 |
+
{
|
| 3257 |
+
"epoch": 38.45,
|
| 3258 |
+
"learning_rate": 2.5913875598086125e-06,
|
| 3259 |
+
"loss": 0.136,
|
| 3260 |
+
"step": 423
|
| 3261 |
+
},
|
| 3262 |
+
{
|
| 3263 |
+
"epoch": 38.55,
|
| 3264 |
+
"learning_rate": 2.5875598086124403e-06,
|
| 3265 |
+
"loss": 0.1289,
|
| 3266 |
+
"step": 424
|
| 3267 |
+
},
|
| 3268 |
+
{
|
| 3269 |
+
"epoch": 38.64,
|
| 3270 |
+
"learning_rate": 2.583732057416268e-06,
|
| 3271 |
+
"loss": 0.1296,
|
| 3272 |
+
"step": 425
|
| 3273 |
+
},
|
| 3274 |
+
{
|
| 3275 |
+
"epoch": 38.73,
|
| 3276 |
+
"learning_rate": 2.5799043062200954e-06,
|
| 3277 |
+
"loss": 0.1263,
|
| 3278 |
+
"step": 426
|
| 3279 |
+
},
|
| 3280 |
+
{
|
| 3281 |
+
"epoch": 38.82,
|
| 3282 |
+
"learning_rate": 2.576076555023923e-06,
|
| 3283 |
+
"loss": 0.1309,
|
| 3284 |
+
"step": 427
|
| 3285 |
+
},
|
| 3286 |
+
{
|
| 3287 |
+
"epoch": 38.91,
|
| 3288 |
+
"learning_rate": 2.572248803827751e-06,
|
| 3289 |
+
"loss": 0.1328,
|
| 3290 |
+
"step": 428
|
| 3291 |
+
},
|
| 3292 |
+
{
|
| 3293 |
+
"epoch": 39.0,
|
| 3294 |
+
"learning_rate": 2.5684210526315787e-06,
|
| 3295 |
+
"loss": 0.1083,
|
| 3296 |
+
"step": 429
|
| 3297 |
+
},
|
| 3298 |
+
{
|
| 3299 |
+
"epoch": 39.09,
|
| 3300 |
+
"learning_rate": 2.564593301435407e-06,
|
| 3301 |
+
"loss": 0.1307,
|
| 3302 |
+
"step": 430
|
| 3303 |
+
},
|
| 3304 |
+
{
|
| 3305 |
+
"epoch": 39.09,
|
| 3306 |
+
"eval_accuracy_safe": 0.4852602727051939,
|
| 3307 |
+
"eval_accuracy_unlabeled": NaN,
|
| 3308 |
+
"eval_accuracy_unsafe": 0.9956334014399426,
|
| 3309 |
+
"eval_iou_safe": 0.42437840298029433,
|
| 3310 |
+
"eval_iou_unlabeled": NaN,
|
| 3311 |
+
"eval_iou_unsafe": 0.9802750640686686,
|
| 3312 |
+
"eval_loss": 0.11942077428102493,
|
| 3313 |
+
"eval_mean_accuracy": 0.7404468370725683,
|
| 3314 |
+
"eval_mean_iou": 0.7023267335244815,
|
| 3315 |
+
"eval_overall_accuracy": 0.9805577975600513,
|
| 3316 |
+
"eval_runtime": 11.0705,
|
| 3317 |
+
"eval_samples_per_second": 6.052,
|
| 3318 |
+
"eval_steps_per_second": 0.452,
|
| 3319 |
+
"step": 430
|
| 3320 |
+
},
|
| 3321 |
+
{
|
| 3322 |
+
"epoch": 39.18,
|
| 3323 |
+
"learning_rate": 2.5607655502392346e-06,
|
| 3324 |
+
"loss": 0.1464,
|
| 3325 |
+
"step": 431
|
| 3326 |
+
},
|
| 3327 |
+
{
|
| 3328 |
+
"epoch": 39.27,
|
| 3329 |
+
"learning_rate": 2.5569377990430623e-06,
|
| 3330 |
+
"loss": 0.131,
|
| 3331 |
+
"step": 432
|
| 3332 |
+
},
|
| 3333 |
+
{
|
| 3334 |
+
"epoch": 39.36,
|
| 3335 |
+
"learning_rate": 2.5531100478468897e-06,
|
| 3336 |
+
"loss": 0.1256,
|
| 3337 |
+
"step": 433
|
| 3338 |
+
},
|
| 3339 |
+
{
|
| 3340 |
+
"epoch": 39.45,
|
| 3341 |
+
"learning_rate": 2.5492822966507174e-06,
|
| 3342 |
+
"loss": 0.1231,
|
| 3343 |
+
"step": 434
|
| 3344 |
+
},
|
| 3345 |
+
{
|
| 3346 |
+
"epoch": 39.55,
|
| 3347 |
+
"learning_rate": 2.545454545454545e-06,
|
| 3348 |
+
"loss": 0.1165,
|
| 3349 |
+
"step": 435
|
| 3350 |
+
},
|
| 3351 |
+
{
|
| 3352 |
+
"epoch": 39.64,
|
| 3353 |
+
"learning_rate": 2.541626794258373e-06,
|
| 3354 |
+
"loss": 0.1234,
|
| 3355 |
+
"step": 436
|
| 3356 |
+
},
|
| 3357 |
+
{
|
| 3358 |
+
"epoch": 39.73,
|
| 3359 |
+
"learning_rate": 2.537799043062201e-06,
|
| 3360 |
+
"loss": 0.1336,
|
| 3361 |
+
"step": 437
|
| 3362 |
+
},
|
| 3363 |
+
{
|
| 3364 |
+
"epoch": 39.82,
|
| 3365 |
+
"learning_rate": 2.533971291866029e-06,
|
| 3366 |
+
"loss": 0.1271,
|
| 3367 |
+
"step": 438
|
| 3368 |
+
},
|
| 3369 |
+
{
|
| 3370 |
+
"epoch": 39.91,
|
| 3371 |
+
"learning_rate": 2.530143540669856e-06,
|
| 3372 |
+
"loss": 0.1397,
|
| 3373 |
+
"step": 439
|
| 3374 |
+
},
|
| 3375 |
+
{
|
| 3376 |
+
"epoch": 40.0,
|
| 3377 |
+
"learning_rate": 2.526315789473684e-06,
|
| 3378 |
+
"loss": 0.1379,
|
| 3379 |
+
"step": 440
|
| 3380 |
+
},
|
| 3381 |
+
{
|
| 3382 |
+
"epoch": 40.0,
|
| 3383 |
+
"eval_accuracy_safe": 0.5721855351367188,
|
| 3384 |
+
"eval_accuracy_unlabeled": NaN,
|
| 3385 |
+
"eval_accuracy_unsafe": 0.9922185861931518,
|
| 3386 |
+
"eval_iou_safe": 0.4556878276420518,
|
| 3387 |
+
"eval_iou_unlabeled": NaN,
|
| 3388 |
+
"eval_iou_unsafe": 0.9794644021123315,
|
| 3389 |
+
"eval_loss": 0.11739415675401688,
|
| 3390 |
+
"eval_mean_accuracy": 0.7822020606649354,
|
| 3391 |
+
"eval_mean_iou": 0.7175761148771916,
|
| 3392 |
+
"eval_overall_accuracy": 0.9798114833547108,
|
| 3393 |
+
"eval_runtime": 11.1185,
|
| 3394 |
+
"eval_samples_per_second": 6.026,
|
| 3395 |
+
"eval_steps_per_second": 0.45,
|
| 3396 |
+
"step": 440
|
| 3397 |
}
|
| 3398 |
],
|
| 3399 |
"max_steps": 1100,
|
| 3400 |
"num_train_epochs": 100,
|
| 3401 |
+
"total_flos": 4.918350416141353e+18,
|
| 3402 |
"trial_name": null,
|
| 3403 |
"trial_params": null
|
| 3404 |
}
|
{checkpoint-240 → checkpoint-440}/training_args.bin
RENAMED
|
File without changes
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 338834121
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3524cde3fb034610edd8d64d969e836e516629fe4b5b314d965c0ce8d038aee4
|
| 3 |
size 338834121
|
runs/Feb05_23-09-17_robolidar/events.out.tfevents.1707196164.robolidar.781259.0
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 sha256:402e5b2af31c01d3ab7735fa856f2b04ddc5f567278d07ba6e3b7b30878f5031
|
| 3 |
+
size 107633
|