Training in progress, step 1120
Browse files- {checkpoint-920 → checkpoint-1120}/config.json +0 -0
- {checkpoint-920 → checkpoint-1120}/optimizer.pt +1 -1
- {checkpoint-920 → checkpoint-1120}/pytorch_model.bin +1 -1
- {checkpoint-920 → checkpoint-1120}/rng_state.pth +1 -1
- {checkpoint-920 → checkpoint-1120}/scheduler.pt +1 -1
- {checkpoint-920 → checkpoint-1120}/trainer_state.json +1545 -5
- {checkpoint-920 → checkpoint-1120}/training_args.bin +0 -0
- pytorch_model.bin +1 -1
- runs/Feb06_02-59-17_robovision.csres.utexas.edu/events.out.tfevents.1707209963.robovision.csres.utexas.edu.1658684.0 +2 -2
{checkpoint-920 → checkpoint-1120}/config.json
RENAMED
|
File without changes
|
{checkpoint-920 → checkpoint-1120}/optimizer.pt
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 29839045
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2ea1cb0568624dc73045fc7424634b2b966cae9c7a3aa0a7154f5281fb586d0c
|
| 3 |
size 29839045
|
{checkpoint-920 → checkpoint-1120}/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:a36c01f039d965fef883a18a479fd9ee5e981fbca4c6b50e7d572deb8f538dce
|
| 3 |
size 14932813
|
{checkpoint-920 → checkpoint-1120}/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 sha256:3c07834db4bde49cd7be7b71e7f738f8a8479d33c510e2333746ddd5c8f171b1
|
| 3 |
size 14575
|
{checkpoint-920 → checkpoint-1120}/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:a8c35aa736930521b90434dc3685b06d5f812dfd2db34aa50e3713041eeeb424
|
| 3 |
size 627
|
{checkpoint-920 → checkpoint-1120}/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-RGB-b0/checkpoint-
|
| 4 |
-
"epoch":
|
| 5 |
-
"global_step":
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
|
@@ -7090,11 +7090,1551 @@
|
|
| 7090 |
"eval_samples_per_second": 7.831,
|
| 7091 |
"eval_steps_per_second": 0.584,
|
| 7092 |
"step": 920
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 7093 |
}
|
| 7094 |
],
|
| 7095 |
"max_steps": 1200,
|
| 7096 |
"num_train_epochs": 120,
|
| 7097 |
-
"total_flos":
|
| 7098 |
"trial_name": null,
|
| 7099 |
"trial_params": null
|
| 7100 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.3184855282306671,
|
| 3 |
+
"best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/safety-utcustom-train-SF-RGB-b0/checkpoint-1080",
|
| 4 |
+
"epoch": 112.0,
|
| 5 |
+
"global_step": 1120,
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
|
|
|
| 7090 |
"eval_samples_per_second": 7.831,
|
| 7091 |
"eval_steps_per_second": 0.584,
|
| 7092 |
"step": 920
|
| 7093 |
+
},
|
| 7094 |
+
{
|
| 7095 |
+
"epoch": 92.1,
|
| 7096 |
+
"learning_rate": 2.2026315789473685e-06,
|
| 7097 |
+
"loss": 0.3179,
|
| 7098 |
+
"step": 921
|
| 7099 |
+
},
|
| 7100 |
+
{
|
| 7101 |
+
"epoch": 92.2,
|
| 7102 |
+
"learning_rate": 2.1947368421052633e-06,
|
| 7103 |
+
"loss": 0.3658,
|
| 7104 |
+
"step": 922
|
| 7105 |
+
},
|
| 7106 |
+
{
|
| 7107 |
+
"epoch": 92.3,
|
| 7108 |
+
"learning_rate": 2.186842105263158e-06,
|
| 7109 |
+
"loss": 0.3486,
|
| 7110 |
+
"step": 923
|
| 7111 |
+
},
|
| 7112 |
+
{
|
| 7113 |
+
"epoch": 92.4,
|
| 7114 |
+
"learning_rate": 2.1789473684210528e-06,
|
| 7115 |
+
"loss": 0.347,
|
| 7116 |
+
"step": 924
|
| 7117 |
+
},
|
| 7118 |
+
{
|
| 7119 |
+
"epoch": 92.5,
|
| 7120 |
+
"learning_rate": 2.1710526315789475e-06,
|
| 7121 |
+
"loss": 0.3085,
|
| 7122 |
+
"step": 925
|
| 7123 |
+
},
|
| 7124 |
+
{
|
| 7125 |
+
"epoch": 92.6,
|
| 7126 |
+
"learning_rate": 2.1631578947368423e-06,
|
| 7127 |
+
"loss": 0.3184,
|
| 7128 |
+
"step": 926
|
| 7129 |
+
},
|
| 7130 |
+
{
|
| 7131 |
+
"epoch": 92.7,
|
| 7132 |
+
"learning_rate": 2.155263157894737e-06,
|
| 7133 |
+
"loss": 0.3315,
|
| 7134 |
+
"step": 927
|
| 7135 |
+
},
|
| 7136 |
+
{
|
| 7137 |
+
"epoch": 92.8,
|
| 7138 |
+
"learning_rate": 2.1473684210526317e-06,
|
| 7139 |
+
"loss": 0.3275,
|
| 7140 |
+
"step": 928
|
| 7141 |
+
},
|
| 7142 |
+
{
|
| 7143 |
+
"epoch": 92.9,
|
| 7144 |
+
"learning_rate": 2.139473684210526e-06,
|
| 7145 |
+
"loss": 0.3201,
|
| 7146 |
+
"step": 929
|
| 7147 |
+
},
|
| 7148 |
+
{
|
| 7149 |
+
"epoch": 93.0,
|
| 7150 |
+
"learning_rate": 2.131578947368421e-06,
|
| 7151 |
+
"loss": 0.3624,
|
| 7152 |
+
"step": 930
|
| 7153 |
+
},
|
| 7154 |
+
{
|
| 7155 |
+
"epoch": 93.0,
|
| 7156 |
+
"eval_accuracy_safe": 0.6182281486964198,
|
| 7157 |
+
"eval_accuracy_unlabeled": NaN,
|
| 7158 |
+
"eval_accuracy_unsafe": 0.9944646023789244,
|
| 7159 |
+
"eval_iou_safe": 0.5230970460831899,
|
| 7160 |
+
"eval_iou_unlabeled": NaN,
|
| 7161 |
+
"eval_iou_unsafe": 0.9830414935762003,
|
| 7162 |
+
"eval_loss": 0.3276516795158386,
|
| 7163 |
+
"eval_mean_accuracy": 0.8063463755376721,
|
| 7164 |
+
"eval_mean_iou": 0.753069269829695,
|
| 7165 |
+
"eval_overall_accuracy": 0.9833511808025304,
|
| 7166 |
+
"eval_runtime": 9.228,
|
| 7167 |
+
"eval_samples_per_second": 7.261,
|
| 7168 |
+
"eval_steps_per_second": 0.542,
|
| 7169 |
+
"step": 930
|
| 7170 |
+
},
|
| 7171 |
+
{
|
| 7172 |
+
"epoch": 93.1,
|
| 7173 |
+
"learning_rate": 2.123684210526316e-06,
|
| 7174 |
+
"loss": 0.315,
|
| 7175 |
+
"step": 931
|
| 7176 |
+
},
|
| 7177 |
+
{
|
| 7178 |
+
"epoch": 93.2,
|
| 7179 |
+
"learning_rate": 2.1157894736842107e-06,
|
| 7180 |
+
"loss": 0.3211,
|
| 7181 |
+
"step": 932
|
| 7182 |
+
},
|
| 7183 |
+
{
|
| 7184 |
+
"epoch": 93.3,
|
| 7185 |
+
"learning_rate": 2.1078947368421055e-06,
|
| 7186 |
+
"loss": 0.3613,
|
| 7187 |
+
"step": 933
|
| 7188 |
+
},
|
| 7189 |
+
{
|
| 7190 |
+
"epoch": 93.4,
|
| 7191 |
+
"learning_rate": 2.1000000000000002e-06,
|
| 7192 |
+
"loss": 0.3252,
|
| 7193 |
+
"step": 934
|
| 7194 |
+
},
|
| 7195 |
+
{
|
| 7196 |
+
"epoch": 93.5,
|
| 7197 |
+
"learning_rate": 2.092105263157895e-06,
|
| 7198 |
+
"loss": 0.3244,
|
| 7199 |
+
"step": 935
|
| 7200 |
+
},
|
| 7201 |
+
{
|
| 7202 |
+
"epoch": 93.6,
|
| 7203 |
+
"learning_rate": 2.0842105263157897e-06,
|
| 7204 |
+
"loss": 0.425,
|
| 7205 |
+
"step": 936
|
| 7206 |
+
},
|
| 7207 |
+
{
|
| 7208 |
+
"epoch": 93.7,
|
| 7209 |
+
"learning_rate": 2.076315789473684e-06,
|
| 7210 |
+
"loss": 0.3492,
|
| 7211 |
+
"step": 937
|
| 7212 |
+
},
|
| 7213 |
+
{
|
| 7214 |
+
"epoch": 93.8,
|
| 7215 |
+
"learning_rate": 2.0684210526315788e-06,
|
| 7216 |
+
"loss": 0.3264,
|
| 7217 |
+
"step": 938
|
| 7218 |
+
},
|
| 7219 |
+
{
|
| 7220 |
+
"epoch": 93.9,
|
| 7221 |
+
"learning_rate": 2.0605263157894735e-06,
|
| 7222 |
+
"loss": 0.4188,
|
| 7223 |
+
"step": 939
|
| 7224 |
+
},
|
| 7225 |
+
{
|
| 7226 |
+
"epoch": 94.0,
|
| 7227 |
+
"learning_rate": 2.0526315789473683e-06,
|
| 7228 |
+
"loss": 0.3418,
|
| 7229 |
+
"step": 940
|
| 7230 |
+
},
|
| 7231 |
+
{
|
| 7232 |
+
"epoch": 94.0,
|
| 7233 |
+
"eval_accuracy_safe": 0.6310577060227216,
|
| 7234 |
+
"eval_accuracy_unlabeled": NaN,
|
| 7235 |
+
"eval_accuracy_unsafe": 0.9939726061473363,
|
| 7236 |
+
"eval_iou_safe": 0.526748163426854,
|
| 7237 |
+
"eval_iou_unlabeled": NaN,
|
| 7238 |
+
"eval_iou_unsafe": 0.9829345749952397,
|
| 7239 |
+
"eval_loss": 0.3315448462963104,
|
| 7240 |
+
"eval_mean_accuracy": 0.812515156085029,
|
| 7241 |
+
"eval_mean_iou": 0.7548413692110469,
|
| 7242 |
+
"eval_overall_accuracy": 0.9832526819029851,
|
| 7243 |
+
"eval_runtime": 9.0836,
|
| 7244 |
+
"eval_samples_per_second": 7.376,
|
| 7245 |
+
"eval_steps_per_second": 0.55,
|
| 7246 |
+
"step": 940
|
| 7247 |
+
},
|
| 7248 |
+
{
|
| 7249 |
+
"epoch": 94.1,
|
| 7250 |
+
"learning_rate": 2.0447368421052634e-06,
|
| 7251 |
+
"loss": 0.3432,
|
| 7252 |
+
"step": 941
|
| 7253 |
+
},
|
| 7254 |
+
{
|
| 7255 |
+
"epoch": 94.2,
|
| 7256 |
+
"learning_rate": 2.036842105263158e-06,
|
| 7257 |
+
"loss": 0.4209,
|
| 7258 |
+
"step": 942
|
| 7259 |
+
},
|
| 7260 |
+
{
|
| 7261 |
+
"epoch": 94.3,
|
| 7262 |
+
"learning_rate": 2.028947368421053e-06,
|
| 7263 |
+
"loss": 0.3263,
|
| 7264 |
+
"step": 943
|
| 7265 |
+
},
|
| 7266 |
+
{
|
| 7267 |
+
"epoch": 94.4,
|
| 7268 |
+
"learning_rate": 2.0210526315789473e-06,
|
| 7269 |
+
"loss": 0.3167,
|
| 7270 |
+
"step": 944
|
| 7271 |
+
},
|
| 7272 |
+
{
|
| 7273 |
+
"epoch": 94.5,
|
| 7274 |
+
"learning_rate": 2.013157894736842e-06,
|
| 7275 |
+
"loss": 0.3903,
|
| 7276 |
+
"step": 945
|
| 7277 |
+
},
|
| 7278 |
+
{
|
| 7279 |
+
"epoch": 94.6,
|
| 7280 |
+
"learning_rate": 2.0052631578947367e-06,
|
| 7281 |
+
"loss": 0.3226,
|
| 7282 |
+
"step": 946
|
| 7283 |
+
},
|
| 7284 |
+
{
|
| 7285 |
+
"epoch": 94.7,
|
| 7286 |
+
"learning_rate": 1.9973684210526315e-06,
|
| 7287 |
+
"loss": 0.3138,
|
| 7288 |
+
"step": 947
|
| 7289 |
+
},
|
| 7290 |
+
{
|
| 7291 |
+
"epoch": 94.8,
|
| 7292 |
+
"learning_rate": 1.9894736842105262e-06,
|
| 7293 |
+
"loss": 0.329,
|
| 7294 |
+
"step": 948
|
| 7295 |
+
},
|
| 7296 |
+
{
|
| 7297 |
+
"epoch": 94.9,
|
| 7298 |
+
"learning_rate": 1.981578947368421e-06,
|
| 7299 |
+
"loss": 0.3274,
|
| 7300 |
+
"step": 949
|
| 7301 |
+
},
|
| 7302 |
+
{
|
| 7303 |
+
"epoch": 95.0,
|
| 7304 |
+
"learning_rate": 1.9736842105263157e-06,
|
| 7305 |
+
"loss": 0.321,
|
| 7306 |
+
"step": 950
|
| 7307 |
+
},
|
| 7308 |
+
{
|
| 7309 |
+
"epoch": 95.0,
|
| 7310 |
+
"eval_accuracy_safe": 0.6195195855066095,
|
| 7311 |
+
"eval_accuracy_unlabeled": NaN,
|
| 7312 |
+
"eval_accuracy_unsafe": 0.9945291380162661,
|
| 7313 |
+
"eval_iou_safe": 0.5251318515420258,
|
| 7314 |
+
"eval_iou_unlabeled": NaN,
|
| 7315 |
+
"eval_iou_unsafe": 0.9831434894770054,
|
| 7316 |
+
"eval_loss": 0.326575368642807,
|
| 7317 |
+
"eval_mean_accuracy": 0.8070243617614378,
|
| 7318 |
+
"eval_mean_iou": 0.7541376705095155,
|
| 7319 |
+
"eval_overall_accuracy": 0.9834519571332789,
|
| 7320 |
+
"eval_runtime": 9.6289,
|
| 7321 |
+
"eval_samples_per_second": 6.958,
|
| 7322 |
+
"eval_steps_per_second": 0.519,
|
| 7323 |
+
"step": 950
|
| 7324 |
+
},
|
| 7325 |
+
{
|
| 7326 |
+
"epoch": 95.1,
|
| 7327 |
+
"learning_rate": 1.965789473684211e-06,
|
| 7328 |
+
"loss": 0.3916,
|
| 7329 |
+
"step": 951
|
| 7330 |
+
},
|
| 7331 |
+
{
|
| 7332 |
+
"epoch": 95.2,
|
| 7333 |
+
"learning_rate": 1.9578947368421052e-06,
|
| 7334 |
+
"loss": 0.3273,
|
| 7335 |
+
"step": 952
|
| 7336 |
+
},
|
| 7337 |
+
{
|
| 7338 |
+
"epoch": 95.3,
|
| 7339 |
+
"learning_rate": 1.95e-06,
|
| 7340 |
+
"loss": 0.3482,
|
| 7341 |
+
"step": 953
|
| 7342 |
+
},
|
| 7343 |
+
{
|
| 7344 |
+
"epoch": 95.4,
|
| 7345 |
+
"learning_rate": 1.9421052631578947e-06,
|
| 7346 |
+
"loss": 0.3342,
|
| 7347 |
+
"step": 954
|
| 7348 |
+
},
|
| 7349 |
+
{
|
| 7350 |
+
"epoch": 95.5,
|
| 7351 |
+
"learning_rate": 1.9342105263157895e-06,
|
| 7352 |
+
"loss": 0.3904,
|
| 7353 |
+
"step": 955
|
| 7354 |
+
},
|
| 7355 |
+
{
|
| 7356 |
+
"epoch": 95.6,
|
| 7357 |
+
"learning_rate": 1.926315789473684e-06,
|
| 7358 |
+
"loss": 0.336,
|
| 7359 |
+
"step": 956
|
| 7360 |
+
},
|
| 7361 |
+
{
|
| 7362 |
+
"epoch": 95.7,
|
| 7363 |
+
"learning_rate": 1.918421052631579e-06,
|
| 7364 |
+
"loss": 0.3641,
|
| 7365 |
+
"step": 957
|
| 7366 |
+
},
|
| 7367 |
+
{
|
| 7368 |
+
"epoch": 95.8,
|
| 7369 |
+
"learning_rate": 1.9105263157894737e-06,
|
| 7370 |
+
"loss": 0.3139,
|
| 7371 |
+
"step": 958
|
| 7372 |
+
},
|
| 7373 |
+
{
|
| 7374 |
+
"epoch": 95.9,
|
| 7375 |
+
"learning_rate": 1.9026315789473684e-06,
|
| 7376 |
+
"loss": 0.3149,
|
| 7377 |
+
"step": 959
|
| 7378 |
+
},
|
| 7379 |
+
{
|
| 7380 |
+
"epoch": 96.0,
|
| 7381 |
+
"learning_rate": 1.8947368421052632e-06,
|
| 7382 |
+
"loss": 0.3152,
|
| 7383 |
+
"step": 960
|
| 7384 |
+
},
|
| 7385 |
+
{
|
| 7386 |
+
"epoch": 96.0,
|
| 7387 |
+
"eval_accuracy_safe": 0.6100651115454451,
|
| 7388 |
+
"eval_accuracy_unlabeled": NaN,
|
| 7389 |
+
"eval_accuracy_unsafe": 0.9949341284749654,
|
| 7390 |
+
"eval_iou_safe": 0.5230166454873098,
|
| 7391 |
+
"eval_iou_unlabeled": NaN,
|
| 7392 |
+
"eval_iou_unsafe": 0.9832641286427406,
|
| 7393 |
+
"eval_loss": 0.3265315890312195,
|
| 7394 |
+
"eval_mean_accuracy": 0.8024996200102053,
|
| 7395 |
+
"eval_mean_iou": 0.7531403870650252,
|
| 7396 |
+
"eval_overall_accuracy": 0.9835657148218867,
|
| 7397 |
+
"eval_runtime": 9.1903,
|
| 7398 |
+
"eval_samples_per_second": 7.29,
|
| 7399 |
+
"eval_steps_per_second": 0.544,
|
| 7400 |
+
"step": 960
|
| 7401 |
+
},
|
| 7402 |
+
{
|
| 7403 |
+
"epoch": 96.1,
|
| 7404 |
+
"learning_rate": 1.8868421052631581e-06,
|
| 7405 |
+
"loss": 0.3372,
|
| 7406 |
+
"step": 961
|
| 7407 |
+
},
|
| 7408 |
+
{
|
| 7409 |
+
"epoch": 96.2,
|
| 7410 |
+
"learning_rate": 1.8789473684210527e-06,
|
| 7411 |
+
"loss": 0.3513,
|
| 7412 |
+
"step": 962
|
| 7413 |
+
},
|
| 7414 |
+
{
|
| 7415 |
+
"epoch": 96.3,
|
| 7416 |
+
"learning_rate": 1.8710526315789474e-06,
|
| 7417 |
+
"loss": 0.3136,
|
| 7418 |
+
"step": 963
|
| 7419 |
+
},
|
| 7420 |
+
{
|
| 7421 |
+
"epoch": 96.4,
|
| 7422 |
+
"learning_rate": 1.8631578947368422e-06,
|
| 7423 |
+
"loss": 0.3282,
|
| 7424 |
+
"step": 964
|
| 7425 |
+
},
|
| 7426 |
+
{
|
| 7427 |
+
"epoch": 96.5,
|
| 7428 |
+
"learning_rate": 1.855263157894737e-06,
|
| 7429 |
+
"loss": 0.3494,
|
| 7430 |
+
"step": 965
|
| 7431 |
+
},
|
| 7432 |
+
{
|
| 7433 |
+
"epoch": 96.6,
|
| 7434 |
+
"learning_rate": 1.8473684210526317e-06,
|
| 7435 |
+
"loss": 0.3461,
|
| 7436 |
+
"step": 966
|
| 7437 |
+
},
|
| 7438 |
+
{
|
| 7439 |
+
"epoch": 96.7,
|
| 7440 |
+
"learning_rate": 1.8394736842105264e-06,
|
| 7441 |
+
"loss": 0.3273,
|
| 7442 |
+
"step": 967
|
| 7443 |
+
},
|
| 7444 |
+
{
|
| 7445 |
+
"epoch": 96.8,
|
| 7446 |
+
"learning_rate": 1.8315789473684211e-06,
|
| 7447 |
+
"loss": 0.3983,
|
| 7448 |
+
"step": 968
|
| 7449 |
+
},
|
| 7450 |
+
{
|
| 7451 |
+
"epoch": 96.9,
|
| 7452 |
+
"learning_rate": 1.8236842105263157e-06,
|
| 7453 |
+
"loss": 0.313,
|
| 7454 |
+
"step": 969
|
| 7455 |
+
},
|
| 7456 |
+
{
|
| 7457 |
+
"epoch": 97.0,
|
| 7458 |
+
"learning_rate": 1.8157894736842104e-06,
|
| 7459 |
+
"loss": 0.3153,
|
| 7460 |
+
"step": 970
|
| 7461 |
+
},
|
| 7462 |
+
{
|
| 7463 |
+
"epoch": 97.0,
|
| 7464 |
+
"eval_accuracy_safe": 0.6149031807895883,
|
| 7465 |
+
"eval_accuracy_unlabeled": NaN,
|
| 7466 |
+
"eval_accuracy_unsafe": 0.9947373534498346,
|
| 7467 |
+
"eval_iou_safe": 0.5242587135971392,
|
| 7468 |
+
"eval_iou_unlabeled": NaN,
|
| 7469 |
+
"eval_iou_unsafe": 0.9832127499364295,
|
| 7470 |
+
"eval_loss": 0.32632413506507874,
|
| 7471 |
+
"eval_mean_accuracy": 0.8048202671197114,
|
| 7472 |
+
"eval_mean_iou": 0.7537357317667843,
|
| 7473 |
+
"eval_overall_accuracy": 0.9835176610234958,
|
| 7474 |
+
"eval_runtime": 8.9257,
|
| 7475 |
+
"eval_samples_per_second": 7.506,
|
| 7476 |
+
"eval_steps_per_second": 0.56,
|
| 7477 |
+
"step": 970
|
| 7478 |
+
},
|
| 7479 |
+
{
|
| 7480 |
+
"epoch": 97.1,
|
| 7481 |
+
"learning_rate": 1.8078947368421054e-06,
|
| 7482 |
+
"loss": 0.3137,
|
| 7483 |
+
"step": 971
|
| 7484 |
+
},
|
| 7485 |
+
{
|
| 7486 |
+
"epoch": 97.2,
|
| 7487 |
+
"learning_rate": 1.8000000000000001e-06,
|
| 7488 |
+
"loss": 0.3317,
|
| 7489 |
+
"step": 972
|
| 7490 |
+
},
|
| 7491 |
+
{
|
| 7492 |
+
"epoch": 97.3,
|
| 7493 |
+
"learning_rate": 1.7921052631578949e-06,
|
| 7494 |
+
"loss": 0.3282,
|
| 7495 |
+
"step": 973
|
| 7496 |
+
},
|
| 7497 |
+
{
|
| 7498 |
+
"epoch": 97.4,
|
| 7499 |
+
"learning_rate": 1.7842105263157896e-06,
|
| 7500 |
+
"loss": 0.3309,
|
| 7501 |
+
"step": 974
|
| 7502 |
+
},
|
| 7503 |
+
{
|
| 7504 |
+
"epoch": 97.5,
|
| 7505 |
+
"learning_rate": 1.7763157894736844e-06,
|
| 7506 |
+
"loss": 0.3262,
|
| 7507 |
+
"step": 975
|
| 7508 |
+
},
|
| 7509 |
+
{
|
| 7510 |
+
"epoch": 97.6,
|
| 7511 |
+
"learning_rate": 1.768421052631579e-06,
|
| 7512 |
+
"loss": 0.3266,
|
| 7513 |
+
"step": 976
|
| 7514 |
+
},
|
| 7515 |
+
{
|
| 7516 |
+
"epoch": 97.7,
|
| 7517 |
+
"learning_rate": 1.7605263157894736e-06,
|
| 7518 |
+
"loss": 0.3613,
|
| 7519 |
+
"step": 977
|
| 7520 |
+
},
|
| 7521 |
+
{
|
| 7522 |
+
"epoch": 97.8,
|
| 7523 |
+
"learning_rate": 1.7526315789473684e-06,
|
| 7524 |
+
"loss": 0.3437,
|
| 7525 |
+
"step": 978
|
| 7526 |
+
},
|
| 7527 |
+
{
|
| 7528 |
+
"epoch": 97.9,
|
| 7529 |
+
"learning_rate": 1.7447368421052631e-06,
|
| 7530 |
+
"loss": 0.3387,
|
| 7531 |
+
"step": 979
|
| 7532 |
+
},
|
| 7533 |
+
{
|
| 7534 |
+
"epoch": 98.0,
|
| 7535 |
+
"learning_rate": 1.7368421052631579e-06,
|
| 7536 |
+
"loss": 0.3158,
|
| 7537 |
+
"step": 980
|
| 7538 |
+
},
|
| 7539 |
+
{
|
| 7540 |
+
"epoch": 98.0,
|
| 7541 |
+
"eval_accuracy_safe": 0.6339894603336147,
|
| 7542 |
+
"eval_accuracy_unlabeled": NaN,
|
| 7543 |
+
"eval_accuracy_unsafe": 0.9938742186347709,
|
| 7544 |
+
"eval_iou_safe": 0.5277713148752838,
|
| 7545 |
+
"eval_iou_unlabeled": NaN,
|
| 7546 |
+
"eval_iou_unsafe": 0.9829240174477899,
|
| 7547 |
+
"eval_loss": 0.3299110531806946,
|
| 7548 |
+
"eval_mean_accuracy": 0.8139318394841928,
|
| 7549 |
+
"eval_mean_iou": 0.7553476661615368,
|
| 7550 |
+
"eval_overall_accuracy": 0.983243799921292,
|
| 7551 |
+
"eval_runtime": 9.2767,
|
| 7552 |
+
"eval_samples_per_second": 7.222,
|
| 7553 |
+
"eval_steps_per_second": 0.539,
|
| 7554 |
+
"step": 980
|
| 7555 |
+
},
|
| 7556 |
+
{
|
| 7557 |
+
"epoch": 98.1,
|
| 7558 |
+
"learning_rate": 1.7289473684210526e-06,
|
| 7559 |
+
"loss": 0.3867,
|
| 7560 |
+
"step": 981
|
| 7561 |
+
},
|
| 7562 |
+
{
|
| 7563 |
+
"epoch": 98.2,
|
| 7564 |
+
"learning_rate": 1.7210526315789476e-06,
|
| 7565 |
+
"loss": 0.3217,
|
| 7566 |
+
"step": 982
|
| 7567 |
+
},
|
| 7568 |
+
{
|
| 7569 |
+
"epoch": 98.3,
|
| 7570 |
+
"learning_rate": 1.7131578947368423e-06,
|
| 7571 |
+
"loss": 0.3083,
|
| 7572 |
+
"step": 983
|
| 7573 |
+
},
|
| 7574 |
+
{
|
| 7575 |
+
"epoch": 98.4,
|
| 7576 |
+
"learning_rate": 1.7052631578947369e-06,
|
| 7577 |
+
"loss": 0.3182,
|
| 7578 |
+
"step": 984
|
| 7579 |
+
},
|
| 7580 |
+
{
|
| 7581 |
+
"epoch": 98.5,
|
| 7582 |
+
"learning_rate": 1.6973684210526316e-06,
|
| 7583 |
+
"loss": 0.3437,
|
| 7584 |
+
"step": 985
|
| 7585 |
+
},
|
| 7586 |
+
{
|
| 7587 |
+
"epoch": 98.6,
|
| 7588 |
+
"learning_rate": 1.6894736842105264e-06,
|
| 7589 |
+
"loss": 0.3305,
|
| 7590 |
+
"step": 986
|
| 7591 |
+
},
|
| 7592 |
+
{
|
| 7593 |
+
"epoch": 98.7,
|
| 7594 |
+
"learning_rate": 1.681578947368421e-06,
|
| 7595 |
+
"loss": 0.3214,
|
| 7596 |
+
"step": 987
|
| 7597 |
+
},
|
| 7598 |
+
{
|
| 7599 |
+
"epoch": 98.8,
|
| 7600 |
+
"learning_rate": 1.6736842105263158e-06,
|
| 7601 |
+
"loss": 0.335,
|
| 7602 |
+
"step": 988
|
| 7603 |
+
},
|
| 7604 |
+
{
|
| 7605 |
+
"epoch": 98.9,
|
| 7606 |
+
"learning_rate": 1.6657894736842106e-06,
|
| 7607 |
+
"loss": 0.316,
|
| 7608 |
+
"step": 989
|
| 7609 |
+
},
|
| 7610 |
+
{
|
| 7611 |
+
"epoch": 99.0,
|
| 7612 |
+
"learning_rate": 1.6578947368421051e-06,
|
| 7613 |
+
"loss": 0.3162,
|
| 7614 |
+
"step": 990
|
| 7615 |
+
},
|
| 7616 |
+
{
|
| 7617 |
+
"epoch": 99.0,
|
| 7618 |
+
"eval_accuracy_safe": 0.6207242840235774,
|
| 7619 |
+
"eval_accuracy_unlabeled": NaN,
|
| 7620 |
+
"eval_accuracy_unsafe": 0.9945173455952608,
|
| 7621 |
+
"eval_iou_safe": 0.5259802728610558,
|
| 7622 |
+
"eval_iou_unlabeled": NaN,
|
| 7623 |
+
"eval_iou_unsafe": 0.9831674701006837,
|
| 7624 |
+
"eval_loss": 0.32477492094039917,
|
| 7625 |
+
"eval_mean_accuracy": 0.807620814809419,
|
| 7626 |
+
"eval_mean_iou": 0.7545738714808697,
|
| 7627 |
+
"eval_overall_accuracy": 0.9834760979040346,
|
| 7628 |
+
"eval_runtime": 9.0534,
|
| 7629 |
+
"eval_samples_per_second": 7.401,
|
| 7630 |
+
"eval_steps_per_second": 0.552,
|
| 7631 |
+
"step": 990
|
| 7632 |
+
},
|
| 7633 |
+
{
|
| 7634 |
+
"epoch": 99.1,
|
| 7635 |
+
"learning_rate": 1.6499999999999999e-06,
|
| 7636 |
+
"loss": 0.3382,
|
| 7637 |
+
"step": 991
|
| 7638 |
+
},
|
| 7639 |
+
{
|
| 7640 |
+
"epoch": 99.2,
|
| 7641 |
+
"learning_rate": 1.6421052631578948e-06,
|
| 7642 |
+
"loss": 0.3271,
|
| 7643 |
+
"step": 992
|
| 7644 |
+
},
|
| 7645 |
+
{
|
| 7646 |
+
"epoch": 99.3,
|
| 7647 |
+
"learning_rate": 1.6342105263157896e-06,
|
| 7648 |
+
"loss": 0.3242,
|
| 7649 |
+
"step": 993
|
| 7650 |
+
},
|
| 7651 |
+
{
|
| 7652 |
+
"epoch": 99.4,
|
| 7653 |
+
"learning_rate": 1.6263157894736843e-06,
|
| 7654 |
+
"loss": 0.3526,
|
| 7655 |
+
"step": 994
|
| 7656 |
+
},
|
| 7657 |
+
{
|
| 7658 |
+
"epoch": 99.5,
|
| 7659 |
+
"learning_rate": 1.618421052631579e-06,
|
| 7660 |
+
"loss": 0.3249,
|
| 7661 |
+
"step": 995
|
| 7662 |
+
},
|
| 7663 |
+
{
|
| 7664 |
+
"epoch": 99.6,
|
| 7665 |
+
"learning_rate": 1.6105263157894738e-06,
|
| 7666 |
+
"loss": 0.3125,
|
| 7667 |
+
"step": 996
|
| 7668 |
+
},
|
| 7669 |
+
{
|
| 7670 |
+
"epoch": 99.7,
|
| 7671 |
+
"learning_rate": 1.6026315789473683e-06,
|
| 7672 |
+
"loss": 0.3423,
|
| 7673 |
+
"step": 997
|
| 7674 |
+
},
|
| 7675 |
+
{
|
| 7676 |
+
"epoch": 99.8,
|
| 7677 |
+
"learning_rate": 1.594736842105263e-06,
|
| 7678 |
+
"loss": 0.3417,
|
| 7679 |
+
"step": 998
|
| 7680 |
+
},
|
| 7681 |
+
{
|
| 7682 |
+
"epoch": 99.9,
|
| 7683 |
+
"learning_rate": 1.5868421052631578e-06,
|
| 7684 |
+
"loss": 0.3121,
|
| 7685 |
+
"step": 999
|
| 7686 |
+
},
|
| 7687 |
+
{
|
| 7688 |
+
"epoch": 100.0,
|
| 7689 |
+
"learning_rate": 1.5789473684210526e-06,
|
| 7690 |
+
"loss": 0.3748,
|
| 7691 |
+
"step": 1000
|
| 7692 |
+
},
|
| 7693 |
+
{
|
| 7694 |
+
"epoch": 100.0,
|
| 7695 |
+
"eval_accuracy_safe": 0.6207743994818833,
|
| 7696 |
+
"eval_accuracy_unlabeled": NaN,
|
| 7697 |
+
"eval_accuracy_unsafe": 0.9946083408439126,
|
| 7698 |
+
"eval_iou_safe": 0.5273586790283968,
|
| 7699 |
+
"eval_iou_unlabeled": NaN,
|
| 7700 |
+
"eval_iou_unsafe": 0.9832589096051414,
|
| 7701 |
+
"eval_loss": 0.3237931430339813,
|
| 7702 |
+
"eval_mean_accuracy": 0.8076913701628979,
|
| 7703 |
+
"eval_mean_iou": 0.7553087943167691,
|
| 7704 |
+
"eval_overall_accuracy": 0.9835658856292269,
|
| 7705 |
+
"eval_runtime": 9.8243,
|
| 7706 |
+
"eval_samples_per_second": 6.82,
|
| 7707 |
+
"eval_steps_per_second": 0.509,
|
| 7708 |
+
"step": 1000
|
| 7709 |
+
},
|
| 7710 |
+
{
|
| 7711 |
+
"epoch": 100.1,
|
| 7712 |
+
"learning_rate": 1.5710526315789473e-06,
|
| 7713 |
+
"loss": 0.3144,
|
| 7714 |
+
"step": 1001
|
| 7715 |
+
},
|
| 7716 |
+
{
|
| 7717 |
+
"epoch": 100.2,
|
| 7718 |
+
"learning_rate": 1.5631578947368423e-06,
|
| 7719 |
+
"loss": 0.376,
|
| 7720 |
+
"step": 1002
|
| 7721 |
+
},
|
| 7722 |
+
{
|
| 7723 |
+
"epoch": 100.3,
|
| 7724 |
+
"learning_rate": 1.555263157894737e-06,
|
| 7725 |
+
"loss": 0.3191,
|
| 7726 |
+
"step": 1003
|
| 7727 |
+
},
|
| 7728 |
+
{
|
| 7729 |
+
"epoch": 100.4,
|
| 7730 |
+
"learning_rate": 1.5473684210526318e-06,
|
| 7731 |
+
"loss": 0.354,
|
| 7732 |
+
"step": 1004
|
| 7733 |
+
},
|
| 7734 |
+
{
|
| 7735 |
+
"epoch": 100.5,
|
| 7736 |
+
"learning_rate": 1.5394736842105263e-06,
|
| 7737 |
+
"loss": 0.3073,
|
| 7738 |
+
"step": 1005
|
| 7739 |
+
},
|
| 7740 |
+
{
|
| 7741 |
+
"epoch": 100.6,
|
| 7742 |
+
"learning_rate": 1.531578947368421e-06,
|
| 7743 |
+
"loss": 0.3157,
|
| 7744 |
+
"step": 1006
|
| 7745 |
+
},
|
| 7746 |
+
{
|
| 7747 |
+
"epoch": 100.7,
|
| 7748 |
+
"learning_rate": 1.5236842105263158e-06,
|
| 7749 |
+
"loss": 0.3306,
|
| 7750 |
+
"step": 1007
|
| 7751 |
+
},
|
| 7752 |
+
{
|
| 7753 |
+
"epoch": 100.8,
|
| 7754 |
+
"learning_rate": 1.5157894736842105e-06,
|
| 7755 |
+
"loss": 0.3302,
|
| 7756 |
+
"step": 1008
|
| 7757 |
+
},
|
| 7758 |
+
{
|
| 7759 |
+
"epoch": 100.9,
|
| 7760 |
+
"learning_rate": 1.5078947368421053e-06,
|
| 7761 |
+
"loss": 0.3079,
|
| 7762 |
+
"step": 1009
|
| 7763 |
+
},
|
| 7764 |
+
{
|
| 7765 |
+
"epoch": 101.0,
|
| 7766 |
+
"learning_rate": 1.5e-06,
|
| 7767 |
+
"loss": 0.3598,
|
| 7768 |
+
"step": 1010
|
| 7769 |
+
},
|
| 7770 |
+
{
|
| 7771 |
+
"epoch": 101.0,
|
| 7772 |
+
"eval_accuracy_safe": 0.6249551852151688,
|
| 7773 |
+
"eval_accuracy_unlabeled": NaN,
|
| 7774 |
+
"eval_accuracy_unsafe": 0.9942539815261457,
|
| 7775 |
+
"eval_iou_safe": 0.5257109131533121,
|
| 7776 |
+
"eval_iou_unlabeled": NaN,
|
| 7777 |
+
"eval_iou_unsafe": 0.9830322597860021,
|
| 7778 |
+
"eval_loss": 0.32210400700569153,
|
| 7779 |
+
"eval_mean_accuracy": 0.8096045833706573,
|
| 7780 |
+
"eval_mean_iou": 0.7543715864696571,
|
| 7781 |
+
"eval_overall_accuracy": 0.983345487224522,
|
| 7782 |
+
"eval_runtime": 9.157,
|
| 7783 |
+
"eval_samples_per_second": 7.317,
|
| 7784 |
+
"eval_steps_per_second": 0.546,
|
| 7785 |
+
"step": 1010
|
| 7786 |
+
},
|
| 7787 |
+
{
|
| 7788 |
+
"epoch": 101.1,
|
| 7789 |
+
"learning_rate": 1.4921052631578946e-06,
|
| 7790 |
+
"loss": 0.3084,
|
| 7791 |
+
"step": 1011
|
| 7792 |
+
},
|
| 7793 |
+
{
|
| 7794 |
+
"epoch": 101.2,
|
| 7795 |
+
"learning_rate": 1.4842105263157895e-06,
|
| 7796 |
+
"loss": 0.3179,
|
| 7797 |
+
"step": 1012
|
| 7798 |
+
},
|
| 7799 |
+
{
|
| 7800 |
+
"epoch": 101.3,
|
| 7801 |
+
"learning_rate": 1.4763157894736843e-06,
|
| 7802 |
+
"loss": 0.3226,
|
| 7803 |
+
"step": 1013
|
| 7804 |
+
},
|
| 7805 |
+
{
|
| 7806 |
+
"epoch": 101.4,
|
| 7807 |
+
"learning_rate": 1.468421052631579e-06,
|
| 7808 |
+
"loss": 0.3245,
|
| 7809 |
+
"step": 1014
|
| 7810 |
+
},
|
| 7811 |
+
{
|
| 7812 |
+
"epoch": 101.5,
|
| 7813 |
+
"learning_rate": 1.4605263157894738e-06,
|
| 7814 |
+
"loss": 0.4067,
|
| 7815 |
+
"step": 1015
|
| 7816 |
+
},
|
| 7817 |
+
{
|
| 7818 |
+
"epoch": 101.6,
|
| 7819 |
+
"learning_rate": 1.4526315789473685e-06,
|
| 7820 |
+
"loss": 0.3358,
|
| 7821 |
+
"step": 1016
|
| 7822 |
+
},
|
| 7823 |
+
{
|
| 7824 |
+
"epoch": 101.7,
|
| 7825 |
+
"learning_rate": 1.4447368421052633e-06,
|
| 7826 |
+
"loss": 0.3443,
|
| 7827 |
+
"step": 1017
|
| 7828 |
+
},
|
| 7829 |
+
{
|
| 7830 |
+
"epoch": 101.8,
|
| 7831 |
+
"learning_rate": 1.436842105263158e-06,
|
| 7832 |
+
"loss": 0.3299,
|
| 7833 |
+
"step": 1018
|
| 7834 |
+
},
|
| 7835 |
+
{
|
| 7836 |
+
"epoch": 101.9,
|
| 7837 |
+
"learning_rate": 1.4289473684210525e-06,
|
| 7838 |
+
"loss": 0.3204,
|
| 7839 |
+
"step": 1019
|
| 7840 |
+
},
|
| 7841 |
+
{
|
| 7842 |
+
"epoch": 102.0,
|
| 7843 |
+
"learning_rate": 1.4210526315789473e-06,
|
| 7844 |
+
"loss": 0.3245,
|
| 7845 |
+
"step": 1020
|
| 7846 |
+
},
|
| 7847 |
+
{
|
| 7848 |
+
"epoch": 102.0,
|
| 7849 |
+
"eval_accuracy_safe": 0.6379620741631682,
|
| 7850 |
+
"eval_accuracy_unlabeled": NaN,
|
| 7851 |
+
"eval_accuracy_unsafe": 0.9932973873744592,
|
| 7852 |
+
"eval_iou_safe": 0.5228300584316804,
|
| 7853 |
+
"eval_iou_unlabeled": NaN,
|
| 7854 |
+
"eval_iou_unsafe": 0.9824710294491765,
|
| 7855 |
+
"eval_loss": 0.3247012197971344,
|
| 7856 |
+
"eval_mean_accuracy": 0.8156297307688136,
|
| 7857 |
+
"eval_mean_iou": 0.7526505439404285,
|
| 7858 |
+
"eval_overall_accuracy": 0.9828013519742596,
|
| 7859 |
+
"eval_runtime": 9.2298,
|
| 7860 |
+
"eval_samples_per_second": 7.259,
|
| 7861 |
+
"eval_steps_per_second": 0.542,
|
| 7862 |
+
"step": 1020
|
| 7863 |
+
},
|
| 7864 |
+
{
|
| 7865 |
+
"epoch": 102.1,
|
| 7866 |
+
"learning_rate": 1.413157894736842e-06,
|
| 7867 |
+
"loss": 0.3393,
|
| 7868 |
+
"step": 1021
|
| 7869 |
+
},
|
| 7870 |
+
{
|
| 7871 |
+
"epoch": 102.2,
|
| 7872 |
+
"learning_rate": 1.405263157894737e-06,
|
| 7873 |
+
"loss": 0.3412,
|
| 7874 |
+
"step": 1022
|
| 7875 |
+
},
|
| 7876 |
+
{
|
| 7877 |
+
"epoch": 102.3,
|
| 7878 |
+
"learning_rate": 1.3973684210526317e-06,
|
| 7879 |
+
"loss": 0.3308,
|
| 7880 |
+
"step": 1023
|
| 7881 |
+
},
|
| 7882 |
+
{
|
| 7883 |
+
"epoch": 102.4,
|
| 7884 |
+
"learning_rate": 1.3894736842105265e-06,
|
| 7885 |
+
"loss": 0.3533,
|
| 7886 |
+
"step": 1024
|
| 7887 |
+
},
|
| 7888 |
+
{
|
| 7889 |
+
"epoch": 102.5,
|
| 7890 |
+
"learning_rate": 1.3815789473684212e-06,
|
| 7891 |
+
"loss": 0.3024,
|
| 7892 |
+
"step": 1025
|
| 7893 |
+
},
|
| 7894 |
+
{
|
| 7895 |
+
"epoch": 102.6,
|
| 7896 |
+
"learning_rate": 1.3736842105263158e-06,
|
| 7897 |
+
"loss": 0.3449,
|
| 7898 |
+
"step": 1026
|
| 7899 |
+
},
|
| 7900 |
+
{
|
| 7901 |
+
"epoch": 102.7,
|
| 7902 |
+
"learning_rate": 1.3657894736842105e-06,
|
| 7903 |
+
"loss": 0.3098,
|
| 7904 |
+
"step": 1027
|
| 7905 |
+
},
|
| 7906 |
+
{
|
| 7907 |
+
"epoch": 102.8,
|
| 7908 |
+
"learning_rate": 1.3578947368421052e-06,
|
| 7909 |
+
"loss": 0.3199,
|
| 7910 |
+
"step": 1028
|
| 7911 |
+
},
|
| 7912 |
+
{
|
| 7913 |
+
"epoch": 102.9,
|
| 7914 |
+
"learning_rate": 1.35e-06,
|
| 7915 |
+
"loss": 0.3132,
|
| 7916 |
+
"step": 1029
|
| 7917 |
+
},
|
| 7918 |
+
{
|
| 7919 |
+
"epoch": 103.0,
|
| 7920 |
+
"learning_rate": 1.3421052631578947e-06,
|
| 7921 |
+
"loss": 0.3527,
|
| 7922 |
+
"step": 1030
|
| 7923 |
+
},
|
| 7924 |
+
{
|
| 7925 |
+
"epoch": 103.0,
|
| 7926 |
+
"eval_accuracy_safe": 0.6456278117663387,
|
| 7927 |
+
"eval_accuracy_unlabeled": NaN,
|
| 7928 |
+
"eval_accuracy_unsafe": 0.9930041609058832,
|
| 7929 |
+
"eval_iou_safe": 0.5249676746937912,
|
| 7930 |
+
"eval_iou_unlabeled": NaN,
|
| 7931 |
+
"eval_iou_unsafe": 0.9824077215366573,
|
| 7932 |
+
"eval_loss": 0.32749173045158386,
|
| 7933 |
+
"eval_mean_accuracy": 0.8193159863361109,
|
| 7934 |
+
"eval_mean_iou": 0.7536876981152243,
|
| 7935 |
+
"eval_overall_accuracy": 0.9827432205427938,
|
| 7936 |
+
"eval_runtime": 8.9888,
|
| 7937 |
+
"eval_samples_per_second": 7.454,
|
| 7938 |
+
"eval_steps_per_second": 0.556,
|
| 7939 |
+
"step": 1030
|
| 7940 |
+
},
|
| 7941 |
+
{
|
| 7942 |
+
"epoch": 103.1,
|
| 7943 |
+
"learning_rate": 1.3342105263157895e-06,
|
| 7944 |
+
"loss": 0.3157,
|
| 7945 |
+
"step": 1031
|
| 7946 |
+
},
|
| 7947 |
+
{
|
| 7948 |
+
"epoch": 103.2,
|
| 7949 |
+
"learning_rate": 1.326315789473684e-06,
|
| 7950 |
+
"loss": 0.3181,
|
| 7951 |
+
"step": 1032
|
| 7952 |
+
},
|
| 7953 |
+
{
|
| 7954 |
+
"epoch": 103.3,
|
| 7955 |
+
"learning_rate": 1.3184210526315792e-06,
|
| 7956 |
+
"loss": 0.338,
|
| 7957 |
+
"step": 1033
|
| 7958 |
+
},
|
| 7959 |
+
{
|
| 7960 |
+
"epoch": 103.4,
|
| 7961 |
+
"learning_rate": 1.3105263157894737e-06,
|
| 7962 |
+
"loss": 0.3097,
|
| 7963 |
+
"step": 1034
|
| 7964 |
+
},
|
| 7965 |
+
{
|
| 7966 |
+
"epoch": 103.5,
|
| 7967 |
+
"learning_rate": 1.3026315789473685e-06,
|
| 7968 |
+
"loss": 0.3313,
|
| 7969 |
+
"step": 1035
|
| 7970 |
+
},
|
| 7971 |
+
{
|
| 7972 |
+
"epoch": 103.6,
|
| 7973 |
+
"learning_rate": 1.2947368421052632e-06,
|
| 7974 |
+
"loss": 0.3128,
|
| 7975 |
+
"step": 1036
|
| 7976 |
+
},
|
| 7977 |
+
{
|
| 7978 |
+
"epoch": 103.7,
|
| 7979 |
+
"learning_rate": 1.286842105263158e-06,
|
| 7980 |
+
"loss": 0.307,
|
| 7981 |
+
"step": 1037
|
| 7982 |
+
},
|
| 7983 |
+
{
|
| 7984 |
+
"epoch": 103.8,
|
| 7985 |
+
"learning_rate": 1.2789473684210527e-06,
|
| 7986 |
+
"loss": 0.3171,
|
| 7987 |
+
"step": 1038
|
| 7988 |
+
},
|
| 7989 |
+
{
|
| 7990 |
+
"epoch": 103.9,
|
| 7991 |
+
"learning_rate": 1.2710526315789474e-06,
|
| 7992 |
+
"loss": 0.3382,
|
| 7993 |
+
"step": 1039
|
| 7994 |
+
},
|
| 7995 |
+
{
|
| 7996 |
+
"epoch": 104.0,
|
| 7997 |
+
"learning_rate": 1.263157894736842e-06,
|
| 7998 |
+
"loss": 0.5087,
|
| 7999 |
+
"step": 1040
|
| 8000 |
+
},
|
| 8001 |
+
{
|
| 8002 |
+
"epoch": 104.0,
|
| 8003 |
+
"eval_accuracy_safe": 0.6266321255507882,
|
| 8004 |
+
"eval_accuracy_unlabeled": NaN,
|
| 8005 |
+
"eval_accuracy_unsafe": 0.9943598786401473,
|
| 8006 |
+
"eval_iou_safe": 0.5286687904614619,
|
| 8007 |
+
"eval_iou_unlabeled": NaN,
|
| 8008 |
+
"eval_iou_unsafe": 0.9831865789176004,
|
| 8009 |
+
"eval_loss": 0.32207852602005005,
|
| 8010 |
+
"eval_mean_accuracy": 0.8104960020954677,
|
| 8011 |
+
"eval_mean_iou": 0.7559276846895311,
|
| 8012 |
+
"eval_overall_accuracy": 0.9834977904362465,
|
| 8013 |
+
"eval_runtime": 9.338,
|
| 8014 |
+
"eval_samples_per_second": 7.175,
|
| 8015 |
+
"eval_steps_per_second": 0.535,
|
| 8016 |
+
"step": 1040
|
| 8017 |
+
},
|
| 8018 |
+
{
|
| 8019 |
+
"epoch": 104.1,
|
| 8020 |
+
"learning_rate": 1.2552631578947367e-06,
|
| 8021 |
+
"loss": 0.3245,
|
| 8022 |
+
"step": 1041
|
| 8023 |
+
},
|
| 8024 |
+
{
|
| 8025 |
+
"epoch": 104.2,
|
| 8026 |
+
"learning_rate": 1.2473684210526315e-06,
|
| 8027 |
+
"loss": 0.3162,
|
| 8028 |
+
"step": 1042
|
| 8029 |
+
},
|
| 8030 |
+
{
|
| 8031 |
+
"epoch": 104.3,
|
| 8032 |
+
"learning_rate": 1.2394736842105264e-06,
|
| 8033 |
+
"loss": 0.3388,
|
| 8034 |
+
"step": 1043
|
| 8035 |
+
},
|
| 8036 |
+
{
|
| 8037 |
+
"epoch": 104.4,
|
| 8038 |
+
"learning_rate": 1.2315789473684212e-06,
|
| 8039 |
+
"loss": 0.3136,
|
| 8040 |
+
"step": 1044
|
| 8041 |
+
},
|
| 8042 |
+
{
|
| 8043 |
+
"epoch": 104.5,
|
| 8044 |
+
"learning_rate": 1.223684210526316e-06,
|
| 8045 |
+
"loss": 0.3086,
|
| 8046 |
+
"step": 1045
|
| 8047 |
+
},
|
| 8048 |
+
{
|
| 8049 |
+
"epoch": 104.6,
|
| 8050 |
+
"learning_rate": 1.2157894736842107e-06,
|
| 8051 |
+
"loss": 0.3159,
|
| 8052 |
+
"step": 1046
|
| 8053 |
+
},
|
| 8054 |
+
{
|
| 8055 |
+
"epoch": 104.7,
|
| 8056 |
+
"learning_rate": 1.2078947368421052e-06,
|
| 8057 |
+
"loss": 0.3305,
|
| 8058 |
+
"step": 1047
|
| 8059 |
+
},
|
| 8060 |
+
{
|
| 8061 |
+
"epoch": 104.8,
|
| 8062 |
+
"learning_rate": 1.2e-06,
|
| 8063 |
+
"loss": 0.3716,
|
| 8064 |
+
"step": 1048
|
| 8065 |
+
},
|
| 8066 |
+
{
|
| 8067 |
+
"epoch": 104.9,
|
| 8068 |
+
"learning_rate": 1.1921052631578947e-06,
|
| 8069 |
+
"loss": 0.3027,
|
| 8070 |
+
"step": 1049
|
| 8071 |
+
},
|
| 8072 |
+
{
|
| 8073 |
+
"epoch": 105.0,
|
| 8074 |
+
"learning_rate": 1.1842105263157894e-06,
|
| 8075 |
+
"loss": 0.3331,
|
| 8076 |
+
"step": 1050
|
| 8077 |
+
},
|
| 8078 |
+
{
|
| 8079 |
+
"epoch": 105.0,
|
| 8080 |
+
"eval_accuracy_safe": 0.6179968465811619,
|
| 8081 |
+
"eval_accuracy_unlabeled": NaN,
|
| 8082 |
+
"eval_accuracy_unsafe": 0.9948481787397786,
|
| 8083 |
+
"eval_iou_safe": 0.528537092780582,
|
| 8084 |
+
"eval_iou_unlabeled": NaN,
|
| 8085 |
+
"eval_iou_unsafe": 0.983413819960877,
|
| 8086 |
+
"eval_loss": 0.3182768225669861,
|
| 8087 |
+
"eval_mean_accuracy": 0.8064225126604703,
|
| 8088 |
+
"eval_mean_iou": 0.7559754563707295,
|
| 8089 |
+
"eval_overall_accuracy": 0.9837165946391091,
|
| 8090 |
+
"eval_runtime": 9.1416,
|
| 8091 |
+
"eval_samples_per_second": 7.329,
|
| 8092 |
+
"eval_steps_per_second": 0.547,
|
| 8093 |
+
"step": 1050
|
| 8094 |
+
},
|
| 8095 |
+
{
|
| 8096 |
+
"epoch": 105.1,
|
| 8097 |
+
"learning_rate": 1.1763157894736842e-06,
|
| 8098 |
+
"loss": 0.3216,
|
| 8099 |
+
"step": 1051
|
| 8100 |
+
},
|
| 8101 |
+
{
|
| 8102 |
+
"epoch": 105.2,
|
| 8103 |
+
"learning_rate": 1.168421052631579e-06,
|
| 8104 |
+
"loss": 0.31,
|
| 8105 |
+
"step": 1052
|
| 8106 |
+
},
|
| 8107 |
+
{
|
| 8108 |
+
"epoch": 105.3,
|
| 8109 |
+
"learning_rate": 1.1605263157894739e-06,
|
| 8110 |
+
"loss": 0.3237,
|
| 8111 |
+
"step": 1053
|
| 8112 |
+
},
|
| 8113 |
+
{
|
| 8114 |
+
"epoch": 105.4,
|
| 8115 |
+
"learning_rate": 1.1526315789473686e-06,
|
| 8116 |
+
"loss": 0.3323,
|
| 8117 |
+
"step": 1054
|
| 8118 |
+
},
|
| 8119 |
+
{
|
| 8120 |
+
"epoch": 105.5,
|
| 8121 |
+
"learning_rate": 1.1447368421052632e-06,
|
| 8122 |
+
"loss": 0.3377,
|
| 8123 |
+
"step": 1055
|
| 8124 |
+
},
|
| 8125 |
+
{
|
| 8126 |
+
"epoch": 105.6,
|
| 8127 |
+
"learning_rate": 1.136842105263158e-06,
|
| 8128 |
+
"loss": 0.3194,
|
| 8129 |
+
"step": 1056
|
| 8130 |
+
},
|
| 8131 |
+
{
|
| 8132 |
+
"epoch": 105.7,
|
| 8133 |
+
"learning_rate": 1.1289473684210527e-06,
|
| 8134 |
+
"loss": 0.3125,
|
| 8135 |
+
"step": 1057
|
| 8136 |
+
},
|
| 8137 |
+
{
|
| 8138 |
+
"epoch": 105.8,
|
| 8139 |
+
"learning_rate": 1.1210526315789474e-06,
|
| 8140 |
+
"loss": 0.3038,
|
| 8141 |
+
"step": 1058
|
| 8142 |
+
},
|
| 8143 |
+
{
|
| 8144 |
+
"epoch": 105.9,
|
| 8145 |
+
"learning_rate": 1.1131578947368421e-06,
|
| 8146 |
+
"loss": 0.3166,
|
| 8147 |
+
"step": 1059
|
| 8148 |
+
},
|
| 8149 |
+
{
|
| 8150 |
+
"epoch": 106.0,
|
| 8151 |
+
"learning_rate": 1.1052631578947369e-06,
|
| 8152 |
+
"loss": 0.324,
|
| 8153 |
+
"step": 1060
|
| 8154 |
+
},
|
| 8155 |
+
{
|
| 8156 |
+
"epoch": 106.0,
|
| 8157 |
+
"eval_accuracy_safe": 0.6234690691246372,
|
| 8158 |
+
"eval_accuracy_unlabeled": NaN,
|
| 8159 |
+
"eval_accuracy_unsafe": 0.9945558909713822,
|
| 8160 |
+
"eval_iou_safe": 0.5288736355371847,
|
| 8161 |
+
"eval_iou_unlabeled": NaN,
|
| 8162 |
+
"eval_iou_unsafe": 0.983286786091871,
|
| 8163 |
+
"eval_loss": 0.31984850764274597,
|
| 8164 |
+
"eval_mean_accuracy": 0.8090124800480096,
|
| 8165 |
+
"eval_mean_iou": 0.7560802108145279,
|
| 8166 |
+
"eval_overall_accuracy": 0.9835945812623892,
|
| 8167 |
+
"eval_runtime": 9.0034,
|
| 8168 |
+
"eval_samples_per_second": 7.442,
|
| 8169 |
+
"eval_steps_per_second": 0.555,
|
| 8170 |
+
"step": 1060
|
| 8171 |
+
},
|
| 8172 |
+
{
|
| 8173 |
+
"epoch": 106.1,
|
| 8174 |
+
"learning_rate": 1.0973684210526316e-06,
|
| 8175 |
+
"loss": 0.3013,
|
| 8176 |
+
"step": 1061
|
| 8177 |
+
},
|
| 8178 |
+
{
|
| 8179 |
+
"epoch": 106.2,
|
| 8180 |
+
"learning_rate": 1.0894736842105264e-06,
|
| 8181 |
+
"loss": 0.3147,
|
| 8182 |
+
"step": 1062
|
| 8183 |
+
},
|
| 8184 |
+
{
|
| 8185 |
+
"epoch": 106.3,
|
| 8186 |
+
"learning_rate": 1.0815789473684211e-06,
|
| 8187 |
+
"loss": 0.3425,
|
| 8188 |
+
"step": 1063
|
| 8189 |
+
},
|
| 8190 |
+
{
|
| 8191 |
+
"epoch": 106.4,
|
| 8192 |
+
"learning_rate": 1.0736842105263159e-06,
|
| 8193 |
+
"loss": 0.4114,
|
| 8194 |
+
"step": 1064
|
| 8195 |
+
},
|
| 8196 |
+
{
|
| 8197 |
+
"epoch": 106.5,
|
| 8198 |
+
"learning_rate": 1.0657894736842104e-06,
|
| 8199 |
+
"loss": 0.3201,
|
| 8200 |
+
"step": 1065
|
| 8201 |
+
},
|
| 8202 |
+
{
|
| 8203 |
+
"epoch": 106.6,
|
| 8204 |
+
"learning_rate": 1.0578947368421054e-06,
|
| 8205 |
+
"loss": 0.4128,
|
| 8206 |
+
"step": 1066
|
| 8207 |
+
},
|
| 8208 |
+
{
|
| 8209 |
+
"epoch": 106.7,
|
| 8210 |
+
"learning_rate": 1.0500000000000001e-06,
|
| 8211 |
+
"loss": 0.3115,
|
| 8212 |
+
"step": 1067
|
| 8213 |
+
},
|
| 8214 |
+
{
|
| 8215 |
+
"epoch": 106.8,
|
| 8216 |
+
"learning_rate": 1.0421052631578949e-06,
|
| 8217 |
+
"loss": 0.3073,
|
| 8218 |
+
"step": 1068
|
| 8219 |
+
},
|
| 8220 |
+
{
|
| 8221 |
+
"epoch": 106.9,
|
| 8222 |
+
"learning_rate": 1.0342105263157894e-06,
|
| 8223 |
+
"loss": 0.3171,
|
| 8224 |
+
"step": 1069
|
| 8225 |
+
},
|
| 8226 |
+
{
|
| 8227 |
+
"epoch": 107.0,
|
| 8228 |
+
"learning_rate": 1.0263157894736841e-06,
|
| 8229 |
+
"loss": 0.3512,
|
| 8230 |
+
"step": 1070
|
| 8231 |
+
},
|
| 8232 |
+
{
|
| 8233 |
+
"epoch": 107.0,
|
| 8234 |
+
"eval_accuracy_safe": 0.615521913947903,
|
| 8235 |
+
"eval_accuracy_unlabeled": NaN,
|
| 8236 |
+
"eval_accuracy_unsafe": 0.9948529309094374,
|
| 8237 |
+
"eval_iou_safe": 0.5264907268029934,
|
| 8238 |
+
"eval_iou_unlabeled": NaN,
|
| 8239 |
+
"eval_iou_unsafe": 0.9833452928310167,
|
| 8240 |
+
"eval_loss": 0.31940221786499023,
|
| 8241 |
+
"eval_mean_accuracy": 0.8051874224286701,
|
| 8242 |
+
"eval_mean_iou": 0.754918009817005,
|
| 8243 |
+
"eval_overall_accuracy": 0.9836481008956681,
|
| 8244 |
+
"eval_runtime": 9.0398,
|
| 8245 |
+
"eval_samples_per_second": 7.412,
|
| 8246 |
+
"eval_steps_per_second": 0.553,
|
| 8247 |
+
"step": 1070
|
| 8248 |
+
},
|
| 8249 |
+
{
|
| 8250 |
+
"epoch": 107.1,
|
| 8251 |
+
"learning_rate": 1.018421052631579e-06,
|
| 8252 |
+
"loss": 0.3562,
|
| 8253 |
+
"step": 1071
|
| 8254 |
+
},
|
| 8255 |
+
{
|
| 8256 |
+
"epoch": 107.2,
|
| 8257 |
+
"learning_rate": 1.0105263157894736e-06,
|
| 8258 |
+
"loss": 0.4291,
|
| 8259 |
+
"step": 1072
|
| 8260 |
+
},
|
| 8261 |
+
{
|
| 8262 |
+
"epoch": 107.3,
|
| 8263 |
+
"learning_rate": 1.0026315789473684e-06,
|
| 8264 |
+
"loss": 0.325,
|
| 8265 |
+
"step": 1073
|
| 8266 |
+
},
|
| 8267 |
+
{
|
| 8268 |
+
"epoch": 107.4,
|
| 8269 |
+
"learning_rate": 9.947368421052631e-07,
|
| 8270 |
+
"loss": 0.3128,
|
| 8271 |
+
"step": 1074
|
| 8272 |
+
},
|
| 8273 |
+
{
|
| 8274 |
+
"epoch": 107.5,
|
| 8275 |
+
"learning_rate": 9.868421052631579e-07,
|
| 8276 |
+
"loss": 0.3091,
|
| 8277 |
+
"step": 1075
|
| 8278 |
+
},
|
| 8279 |
+
{
|
| 8280 |
+
"epoch": 107.6,
|
| 8281 |
+
"learning_rate": 9.789473684210526e-07,
|
| 8282 |
+
"loss": 0.3116,
|
| 8283 |
+
"step": 1076
|
| 8284 |
+
},
|
| 8285 |
+
{
|
| 8286 |
+
"epoch": 107.7,
|
| 8287 |
+
"learning_rate": 9.710526315789474e-07,
|
| 8288 |
+
"loss": 0.3103,
|
| 8289 |
+
"step": 1077
|
| 8290 |
+
},
|
| 8291 |
+
{
|
| 8292 |
+
"epoch": 107.8,
|
| 8293 |
+
"learning_rate": 9.63157894736842e-07,
|
| 8294 |
+
"loss": 0.3236,
|
| 8295 |
+
"step": 1078
|
| 8296 |
+
},
|
| 8297 |
+
{
|
| 8298 |
+
"epoch": 107.9,
|
| 8299 |
+
"learning_rate": 9.552631578947368e-07,
|
| 8300 |
+
"loss": 0.3736,
|
| 8301 |
+
"step": 1079
|
| 8302 |
+
},
|
| 8303 |
+
{
|
| 8304 |
+
"epoch": 108.0,
|
| 8305 |
+
"learning_rate": 9.473684210526316e-07,
|
| 8306 |
+
"loss": 0.3274,
|
| 8307 |
+
"step": 1080
|
| 8308 |
+
},
|
| 8309 |
+
{
|
| 8310 |
+
"epoch": 108.0,
|
| 8311 |
+
"eval_accuracy_safe": 0.6300688894799943,
|
| 8312 |
+
"eval_accuracy_unlabeled": NaN,
|
| 8313 |
+
"eval_accuracy_unsafe": 0.994291412195804,
|
| 8314 |
+
"eval_iou_safe": 0.5305613987248906,
|
| 8315 |
+
"eval_iou_unlabeled": NaN,
|
| 8316 |
+
"eval_iou_unsafe": 0.9832205772695076,
|
| 8317 |
+
"eval_loss": 0.3184855282306671,
|
| 8318 |
+
"eval_mean_accuracy": 0.8121801508378992,
|
| 8319 |
+
"eval_mean_iou": 0.7568909879971991,
|
| 8320 |
+
"eval_overall_accuracy": 0.9835328628767782,
|
| 8321 |
+
"eval_runtime": 9.0184,
|
| 8322 |
+
"eval_samples_per_second": 7.429,
|
| 8323 |
+
"eval_steps_per_second": 0.554,
|
| 8324 |
+
"step": 1080
|
| 8325 |
+
},
|
| 8326 |
+
{
|
| 8327 |
+
"epoch": 108.1,
|
| 8328 |
+
"learning_rate": 9.394736842105263e-07,
|
| 8329 |
+
"loss": 0.3338,
|
| 8330 |
+
"step": 1081
|
| 8331 |
+
},
|
| 8332 |
+
{
|
| 8333 |
+
"epoch": 108.2,
|
| 8334 |
+
"learning_rate": 9.315789473684211e-07,
|
| 8335 |
+
"loss": 0.3334,
|
| 8336 |
+
"step": 1082
|
| 8337 |
+
},
|
| 8338 |
+
{
|
| 8339 |
+
"epoch": 108.3,
|
| 8340 |
+
"learning_rate": 9.236842105263158e-07,
|
| 8341 |
+
"loss": 0.3359,
|
| 8342 |
+
"step": 1083
|
| 8343 |
+
},
|
| 8344 |
+
{
|
| 8345 |
+
"epoch": 108.4,
|
| 8346 |
+
"learning_rate": 9.157894736842106e-07,
|
| 8347 |
+
"loss": 0.3214,
|
| 8348 |
+
"step": 1084
|
| 8349 |
+
},
|
| 8350 |
+
{
|
| 8351 |
+
"epoch": 108.5,
|
| 8352 |
+
"learning_rate": 9.078947368421052e-07,
|
| 8353 |
+
"loss": 0.3287,
|
| 8354 |
+
"step": 1085
|
| 8355 |
+
},
|
| 8356 |
+
{
|
| 8357 |
+
"epoch": 108.6,
|
| 8358 |
+
"learning_rate": 9.000000000000001e-07,
|
| 8359 |
+
"loss": 0.3127,
|
| 8360 |
+
"step": 1086
|
| 8361 |
+
},
|
| 8362 |
+
{
|
| 8363 |
+
"epoch": 108.7,
|
| 8364 |
+
"learning_rate": 8.921052631578948e-07,
|
| 8365 |
+
"loss": 0.304,
|
| 8366 |
+
"step": 1087
|
| 8367 |
+
},
|
| 8368 |
+
{
|
| 8369 |
+
"epoch": 108.8,
|
| 8370 |
+
"learning_rate": 8.842105263157895e-07,
|
| 8371 |
+
"loss": 0.3025,
|
| 8372 |
+
"step": 1088
|
| 8373 |
+
},
|
| 8374 |
+
{
|
| 8375 |
+
"epoch": 108.9,
|
| 8376 |
+
"learning_rate": 8.763157894736842e-07,
|
| 8377 |
+
"loss": 0.3619,
|
| 8378 |
+
"step": 1089
|
| 8379 |
+
},
|
| 8380 |
+
{
|
| 8381 |
+
"epoch": 109.0,
|
| 8382 |
+
"learning_rate": 8.684210526315789e-07,
|
| 8383 |
+
"loss": 0.335,
|
| 8384 |
+
"step": 1090
|
| 8385 |
+
},
|
| 8386 |
+
{
|
| 8387 |
+
"epoch": 109.0,
|
| 8388 |
+
"eval_accuracy_safe": 0.6217285207073219,
|
| 8389 |
+
"eval_accuracy_unlabeled": NaN,
|
| 8390 |
+
"eval_accuracy_unsafe": 0.9945663340108793,
|
| 8391 |
+
"eval_iou_safe": 0.5275507099889111,
|
| 8392 |
+
"eval_iou_unlabeled": NaN,
|
| 8393 |
+
"eval_iou_unsafe": 0.9832456107483667,
|
| 8394 |
+
"eval_loss": 0.3177374303340912,
|
| 8395 |
+
"eval_mean_accuracy": 0.8081474273591006,
|
| 8396 |
+
"eval_mean_iou": 0.7553981603686388,
|
| 8397 |
+
"eval_overall_accuracy": 0.9835533028218284,
|
| 8398 |
+
"eval_runtime": 8.4474,
|
| 8399 |
+
"eval_samples_per_second": 7.931,
|
| 8400 |
+
"eval_steps_per_second": 0.592,
|
| 8401 |
+
"step": 1090
|
| 8402 |
+
},
|
| 8403 |
+
{
|
| 8404 |
+
"epoch": 109.1,
|
| 8405 |
+
"learning_rate": 8.605263157894738e-07,
|
| 8406 |
+
"loss": 0.3146,
|
| 8407 |
+
"step": 1091
|
| 8408 |
+
},
|
| 8409 |
+
{
|
| 8410 |
+
"epoch": 109.2,
|
| 8411 |
+
"learning_rate": 8.526315789473684e-07,
|
| 8412 |
+
"loss": 0.3204,
|
| 8413 |
+
"step": 1092
|
| 8414 |
+
},
|
| 8415 |
+
{
|
| 8416 |
+
"epoch": 109.3,
|
| 8417 |
+
"learning_rate": 8.447368421052632e-07,
|
| 8418 |
+
"loss": 0.2993,
|
| 8419 |
+
"step": 1093
|
| 8420 |
+
},
|
| 8421 |
+
{
|
| 8422 |
+
"epoch": 109.4,
|
| 8423 |
+
"learning_rate": 8.368421052631579e-07,
|
| 8424 |
+
"loss": 0.3212,
|
| 8425 |
+
"step": 1094
|
| 8426 |
+
},
|
| 8427 |
+
{
|
| 8428 |
+
"epoch": 109.5,
|
| 8429 |
+
"learning_rate": 8.289473684210526e-07,
|
| 8430 |
+
"loss": 0.3158,
|
| 8431 |
+
"step": 1095
|
| 8432 |
+
},
|
| 8433 |
+
{
|
| 8434 |
+
"epoch": 109.6,
|
| 8435 |
+
"learning_rate": 8.210526315789474e-07,
|
| 8436 |
+
"loss": 0.3192,
|
| 8437 |
+
"step": 1096
|
| 8438 |
+
},
|
| 8439 |
+
{
|
| 8440 |
+
"epoch": 109.7,
|
| 8441 |
+
"learning_rate": 8.131578947368422e-07,
|
| 8442 |
+
"loss": 0.2972,
|
| 8443 |
+
"step": 1097
|
| 8444 |
+
},
|
| 8445 |
+
{
|
| 8446 |
+
"epoch": 109.8,
|
| 8447 |
+
"learning_rate": 8.052631578947369e-07,
|
| 8448 |
+
"loss": 0.3129,
|
| 8449 |
+
"step": 1098
|
| 8450 |
+
},
|
| 8451 |
+
{
|
| 8452 |
+
"epoch": 109.9,
|
| 8453 |
+
"learning_rate": 7.973684210526315e-07,
|
| 8454 |
+
"loss": 0.3177,
|
| 8455 |
+
"step": 1099
|
| 8456 |
+
},
|
| 8457 |
+
{
|
| 8458 |
+
"epoch": 110.0,
|
| 8459 |
+
"learning_rate": 7.894736842105263e-07,
|
| 8460 |
+
"loss": 0.3581,
|
| 8461 |
+
"step": 1100
|
| 8462 |
+
},
|
| 8463 |
+
{
|
| 8464 |
+
"epoch": 110.0,
|
| 8465 |
+
"eval_accuracy_safe": 0.6352076514739727,
|
| 8466 |
+
"eval_accuracy_unlabeled": NaN,
|
| 8467 |
+
"eval_accuracy_unsafe": 0.9939961909893466,
|
| 8468 |
+
"eval_iou_safe": 0.5305553051183638,
|
| 8469 |
+
"eval_iou_unlabeled": NaN,
|
| 8470 |
+
"eval_iou_unsafe": 0.9830806956510235,
|
| 8471 |
+
"eval_loss": 0.32042166590690613,
|
| 8472 |
+
"eval_mean_accuracy": 0.8146019212316596,
|
| 8473 |
+
"eval_mean_iou": 0.7568180003846936,
|
| 8474 |
+
"eval_overall_accuracy": 0.9833981528210995,
|
| 8475 |
+
"eval_runtime": 8.8059,
|
| 8476 |
+
"eval_samples_per_second": 7.609,
|
| 8477 |
+
"eval_steps_per_second": 0.568,
|
| 8478 |
+
"step": 1100
|
| 8479 |
+
},
|
| 8480 |
+
{
|
| 8481 |
+
"epoch": 110.1,
|
| 8482 |
+
"learning_rate": 7.815789473684211e-07,
|
| 8483 |
+
"loss": 0.3286,
|
| 8484 |
+
"step": 1101
|
| 8485 |
+
},
|
| 8486 |
+
{
|
| 8487 |
+
"epoch": 110.2,
|
| 8488 |
+
"learning_rate": 7.736842105263159e-07,
|
| 8489 |
+
"loss": 0.3682,
|
| 8490 |
+
"step": 1102
|
| 8491 |
+
},
|
| 8492 |
+
{
|
| 8493 |
+
"epoch": 110.3,
|
| 8494 |
+
"learning_rate": 7.657894736842105e-07,
|
| 8495 |
+
"loss": 0.346,
|
| 8496 |
+
"step": 1103
|
| 8497 |
+
},
|
| 8498 |
+
{
|
| 8499 |
+
"epoch": 110.4,
|
| 8500 |
+
"learning_rate": 7.578947368421053e-07,
|
| 8501 |
+
"loss": 0.3542,
|
| 8502 |
+
"step": 1104
|
| 8503 |
+
},
|
| 8504 |
+
{
|
| 8505 |
+
"epoch": 110.5,
|
| 8506 |
+
"learning_rate": 7.5e-07,
|
| 8507 |
+
"loss": 0.3201,
|
| 8508 |
+
"step": 1105
|
| 8509 |
+
},
|
| 8510 |
+
{
|
| 8511 |
+
"epoch": 110.6,
|
| 8512 |
+
"learning_rate": 7.421052631578948e-07,
|
| 8513 |
+
"loss": 0.301,
|
| 8514 |
+
"step": 1106
|
| 8515 |
+
},
|
| 8516 |
+
{
|
| 8517 |
+
"epoch": 110.7,
|
| 8518 |
+
"learning_rate": 7.342105263157895e-07,
|
| 8519 |
+
"loss": 0.3047,
|
| 8520 |
+
"step": 1107
|
| 8521 |
+
},
|
| 8522 |
+
{
|
| 8523 |
+
"epoch": 110.8,
|
| 8524 |
+
"learning_rate": 7.263157894736843e-07,
|
| 8525 |
+
"loss": 0.3,
|
| 8526 |
+
"step": 1108
|
| 8527 |
+
},
|
| 8528 |
+
{
|
| 8529 |
+
"epoch": 110.9,
|
| 8530 |
+
"learning_rate": 7.18421052631579e-07,
|
| 8531 |
+
"loss": 0.312,
|
| 8532 |
+
"step": 1109
|
| 8533 |
+
},
|
| 8534 |
+
{
|
| 8535 |
+
"epoch": 111.0,
|
| 8536 |
+
"learning_rate": 7.105263157894736e-07,
|
| 8537 |
+
"loss": 0.3307,
|
| 8538 |
+
"step": 1110
|
| 8539 |
+
},
|
| 8540 |
+
{
|
| 8541 |
+
"epoch": 111.0,
|
| 8542 |
+
"eval_accuracy_safe": 0.6334593929861488,
|
| 8543 |
+
"eval_accuracy_unlabeled": NaN,
|
| 8544 |
+
"eval_accuracy_unsafe": 0.9941250862577462,
|
| 8545 |
+
"eval_iou_safe": 0.5309731653684774,
|
| 8546 |
+
"eval_iou_unlabeled": NaN,
|
| 8547 |
+
"eval_iou_unsafe": 0.9831564336958822,
|
| 8548 |
+
"eval_loss": 0.32161638140678406,
|
| 8549 |
+
"eval_mean_accuracy": 0.8137922396219475,
|
| 8550 |
+
"eval_mean_iou": 0.7570647995321798,
|
| 8551 |
+
"eval_overall_accuracy": 0.9834715999774079,
|
| 8552 |
+
"eval_runtime": 9.09,
|
| 8553 |
+
"eval_samples_per_second": 7.371,
|
| 8554 |
+
"eval_steps_per_second": 0.55,
|
| 8555 |
+
"step": 1110
|
| 8556 |
+
},
|
| 8557 |
+
{
|
| 8558 |
+
"epoch": 111.1,
|
| 8559 |
+
"learning_rate": 7.026315789473685e-07,
|
| 8560 |
+
"loss": 0.3041,
|
| 8561 |
+
"step": 1111
|
| 8562 |
+
},
|
| 8563 |
+
{
|
| 8564 |
+
"epoch": 111.2,
|
| 8565 |
+
"learning_rate": 6.947368421052632e-07,
|
| 8566 |
+
"loss": 0.313,
|
| 8567 |
+
"step": 1112
|
| 8568 |
+
},
|
| 8569 |
+
{
|
| 8570 |
+
"epoch": 111.3,
|
| 8571 |
+
"learning_rate": 6.868421052631579e-07,
|
| 8572 |
+
"loss": 0.3105,
|
| 8573 |
+
"step": 1113
|
| 8574 |
+
},
|
| 8575 |
+
{
|
| 8576 |
+
"epoch": 111.4,
|
| 8577 |
+
"learning_rate": 6.789473684210526e-07,
|
| 8578 |
+
"loss": 0.3122,
|
| 8579 |
+
"step": 1114
|
| 8580 |
+
},
|
| 8581 |
+
{
|
| 8582 |
+
"epoch": 111.5,
|
| 8583 |
+
"learning_rate": 6.710526315789474e-07,
|
| 8584 |
+
"loss": 0.3246,
|
| 8585 |
+
"step": 1115
|
| 8586 |
+
},
|
| 8587 |
+
{
|
| 8588 |
+
"epoch": 111.6,
|
| 8589 |
+
"learning_rate": 6.63157894736842e-07,
|
| 8590 |
+
"loss": 0.3471,
|
| 8591 |
+
"step": 1116
|
| 8592 |
+
},
|
| 8593 |
+
{
|
| 8594 |
+
"epoch": 111.7,
|
| 8595 |
+
"learning_rate": 6.552631578947369e-07,
|
| 8596 |
+
"loss": 0.3149,
|
| 8597 |
+
"step": 1117
|
| 8598 |
+
},
|
| 8599 |
+
{
|
| 8600 |
+
"epoch": 111.8,
|
| 8601 |
+
"learning_rate": 6.473684210526316e-07,
|
| 8602 |
+
"loss": 0.3563,
|
| 8603 |
+
"step": 1118
|
| 8604 |
+
},
|
| 8605 |
+
{
|
| 8606 |
+
"epoch": 111.9,
|
| 8607 |
+
"learning_rate": 6.394736842105264e-07,
|
| 8608 |
+
"loss": 0.3305,
|
| 8609 |
+
"step": 1119
|
| 8610 |
+
},
|
| 8611 |
+
{
|
| 8612 |
+
"epoch": 112.0,
|
| 8613 |
+
"learning_rate": 6.31578947368421e-07,
|
| 8614 |
+
"loss": 0.3162,
|
| 8615 |
+
"step": 1120
|
| 8616 |
+
},
|
| 8617 |
+
{
|
| 8618 |
+
"epoch": 112.0,
|
| 8619 |
+
"eval_accuracy_safe": 0.6425187258337477,
|
| 8620 |
+
"eval_accuracy_unlabeled": NaN,
|
| 8621 |
+
"eval_accuracy_unsafe": 0.9936791450037155,
|
| 8622 |
+
"eval_iou_safe": 0.5320330705142529,
|
| 8623 |
+
"eval_iou_unlabeled": NaN,
|
| 8624 |
+
"eval_iou_unsafe": 0.9829834730754667,
|
| 8625 |
+
"eval_loss": 0.32274502515792847,
|
| 8626 |
+
"eval_mean_accuracy": 0.8180989354187316,
|
| 8627 |
+
"eval_mean_iou": 0.7575082717948598,
|
| 8628 |
+
"eval_overall_accuracy": 0.9833064292793843,
|
| 8629 |
+
"eval_runtime": 8.9252,
|
| 8630 |
+
"eval_samples_per_second": 7.507,
|
| 8631 |
+
"eval_steps_per_second": 0.56,
|
| 8632 |
+
"step": 1120
|
| 8633 |
}
|
| 8634 |
],
|
| 8635 |
"max_steps": 1200,
|
| 8636 |
"num_train_epochs": 120,
|
| 8637 |
+
"total_flos": 3.0234309310808064e+17,
|
| 8638 |
"trial_name": null,
|
| 8639 |
"trial_params": null
|
| 8640 |
}
|
{checkpoint-920 → checkpoint-1120}/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 14932813
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a36c01f039d965fef883a18a479fd9ee5e981fbca4c6b50e7d572deb8f538dce
|
| 3 |
size 14932813
|
runs/Feb06_02-59-17_robovision.csres.utexas.edu/events.out.tfevents.1707209963.robovision.csres.utexas.edu.1658684.0
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 sha256:25c3277ad835acce55b1b0477294577243b25ba42a16521629bf403deeb34422
|
| 3 |
+
size 267513
|