Training in progress, step 1360
Browse files- {checkpoint-1160 β checkpoint-1360}/config.json +0 -0
- {checkpoint-1160 β checkpoint-1360}/optimizer.pt +1 -1
- {checkpoint-1160 β checkpoint-1360}/pytorch_model.bin +1 -1
- {checkpoint-1160 β checkpoint-1360}/rng_state.pth +1 -1
- {checkpoint-1160 β checkpoint-1360}/scheduler.pt +1 -1
- {checkpoint-1160 β checkpoint-1360}/trainer_state.json +1547 -7
- {checkpoint-1160 β checkpoint-1360}/training_args.bin +1 -1
- pytorch_model.bin +1 -1
- runs/Feb08_03-16-09_robovision.csres.utexas.edu/events.out.tfevents.1707383775.robovision.csres.utexas.edu.823337.0 +2 -2
{checkpoint-1160 β checkpoint-1360}/config.json
RENAMED
|
File without changes
|
{checkpoint-1160 β checkpoint-1360}/optimizer.pt
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 677456319
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d301c9cc6cc5d0a2c5fe5ee919c77635e6fb7de043a207030d774eaf6495cbd3
|
| 3 |
size 677456319
|
{checkpoint-1160 β checkpoint-1360}/pytorch_model.bin
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 338796489
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a8a53ab604e18fb4a8380495e9ee32684c871e5328aaf09f74aea85764e72082
|
| 3 |
size 338796489
|
{checkpoint-1160 β checkpoint-1360}/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 sha256:63c1a18598078eeedf5c1f20072b775f52f1615296b2621e5299f573ee8d5ba3
|
| 3 |
size 14575
|
{checkpoint-1160 β checkpoint-1360}/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 sha256:11c4e425b967002b93abda13b80937d32adf54686fea4038388aedbbf2a84bdc
|
| 3 |
size 627
|
{checkpoint-1160 β checkpoint-1360}/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-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,
|
|
@@ -8938,11 +8938,1551 @@
|
|
| 8938 |
"eval_samples_per_second": 6.248,
|
| 8939 |
"eval_steps_per_second": 0.466,
|
| 8940 |
"step": 1160
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 8941 |
}
|
| 8942 |
],
|
| 8943 |
-
"max_steps":
|
| 8944 |
-
"num_train_epochs":
|
| 8945 |
-
"total_flos":
|
| 8946 |
"trial_name": null,
|
| 8947 |
"trial_params": null
|
| 8948 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.21332333981990814,
|
| 3 |
+
"best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/safety-utcustom-train-SF-RGB-b5/checkpoint-1360",
|
| 4 |
+
"epoch": 123.63636363636364,
|
| 5 |
+
"global_step": 1360,
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
|
|
|
| 8938 |
"eval_samples_per_second": 6.248,
|
| 8939 |
"eval_steps_per_second": 0.466,
|
| 8940 |
"step": 1160
|
| 8941 |
+
},
|
| 8942 |
+
{
|
| 8943 |
+
"epoch": 105.55,
|
| 8944 |
+
"learning_rate": 1.2793733681462143e-07,
|
| 8945 |
+
"loss": 0.272,
|
| 8946 |
+
"step": 1161
|
| 8947 |
+
},
|
| 8948 |
+
{
|
| 8949 |
+
"epoch": 105.64,
|
| 8950 |
+
"learning_rate": 1.2532637075718015e-07,
|
| 8951 |
+
"loss": 0.2526,
|
| 8952 |
+
"step": 1162
|
| 8953 |
+
},
|
| 8954 |
+
{
|
| 8955 |
+
"epoch": 105.73,
|
| 8956 |
+
"learning_rate": 1.227154046997389e-07,
|
| 8957 |
+
"loss": 0.2923,
|
| 8958 |
+
"step": 1163
|
| 8959 |
+
},
|
| 8960 |
+
{
|
| 8961 |
+
"epoch": 105.82,
|
| 8962 |
+
"learning_rate": 1.2010443864229767e-07,
|
| 8963 |
+
"loss": 0.2535,
|
| 8964 |
+
"step": 1164
|
| 8965 |
+
},
|
| 8966 |
+
{
|
| 8967 |
+
"epoch": 105.91,
|
| 8968 |
+
"learning_rate": 1.1749347258485641e-07,
|
| 8969 |
+
"loss": 0.257,
|
| 8970 |
+
"step": 1165
|
| 8971 |
+
},
|
| 8972 |
+
{
|
| 8973 |
+
"epoch": 106.0,
|
| 8974 |
+
"learning_rate": 1.1488250652741514e-07,
|
| 8975 |
+
"loss": 0.2114,
|
| 8976 |
+
"step": 1166
|
| 8977 |
+
},
|
| 8978 |
+
{
|
| 8979 |
+
"epoch": 106.09,
|
| 8980 |
+
"learning_rate": 1.1227154046997389e-07,
|
| 8981 |
+
"loss": 0.2743,
|
| 8982 |
+
"step": 1167
|
| 8983 |
+
},
|
| 8984 |
+
{
|
| 8985 |
+
"epoch": 106.18,
|
| 8986 |
+
"learning_rate": 1.0966057441253265e-07,
|
| 8987 |
+
"loss": 0.2485,
|
| 8988 |
+
"step": 1168
|
| 8989 |
+
},
|
| 8990 |
+
{
|
| 8991 |
+
"epoch": 106.27,
|
| 8992 |
+
"learning_rate": 1.0704960835509138e-07,
|
| 8993 |
+
"loss": 0.2781,
|
| 8994 |
+
"step": 1169
|
| 8995 |
+
},
|
| 8996 |
+
{
|
| 8997 |
+
"epoch": 106.36,
|
| 8998 |
+
"learning_rate": 1.0443864229765013e-07,
|
| 8999 |
+
"loss": 0.2857,
|
| 9000 |
+
"step": 1170
|
| 9001 |
+
},
|
| 9002 |
+
{
|
| 9003 |
+
"epoch": 106.36,
|
| 9004 |
+
"eval_accuracy_safe": 0.6658706018866543,
|
| 9005 |
+
"eval_accuracy_unlabeled": NaN,
|
| 9006 |
+
"eval_accuracy_unsafe": 0.9914503187649804,
|
| 9007 |
+
"eval_iou_safe": 0.5202995990686102,
|
| 9008 |
+
"eval_iou_unlabeled": 0.0,
|
| 9009 |
+
"eval_iou_unsafe": 0.9814688430393181,
|
| 9010 |
+
"eval_loss": 0.23036494851112366,
|
| 9011 |
+
"eval_mean_accuracy": 0.8286604603258173,
|
| 9012 |
+
"eval_mean_iou": 0.5005894807026428,
|
| 9013 |
+
"eval_overall_accuracy": 0.981833215969712,
|
| 9014 |
+
"eval_runtime": 10.0808,
|
| 9015 |
+
"eval_samples_per_second": 6.646,
|
| 9016 |
+
"eval_steps_per_second": 0.496,
|
| 9017 |
+
"step": 1170
|
| 9018 |
+
},
|
| 9019 |
+
{
|
| 9020 |
+
"epoch": 106.45,
|
| 9021 |
+
"learning_rate": 1.0182767624020889e-07,
|
| 9022 |
+
"loss": 0.2707,
|
| 9023 |
+
"step": 1171
|
| 9024 |
+
},
|
| 9025 |
+
{
|
| 9026 |
+
"epoch": 106.55,
|
| 9027 |
+
"learning_rate": 9.921671018276764e-08,
|
| 9028 |
+
"loss": 0.2403,
|
| 9029 |
+
"step": 1172
|
| 9030 |
+
},
|
| 9031 |
+
{
|
| 9032 |
+
"epoch": 106.64,
|
| 9033 |
+
"learning_rate": 9.660574412532637e-08,
|
| 9034 |
+
"loss": 0.2787,
|
| 9035 |
+
"step": 1173
|
| 9036 |
+
},
|
| 9037 |
+
{
|
| 9038 |
+
"epoch": 106.73,
|
| 9039 |
+
"learning_rate": 9.399477806788512e-08,
|
| 9040 |
+
"loss": 0.2574,
|
| 9041 |
+
"step": 1174
|
| 9042 |
+
},
|
| 9043 |
+
{
|
| 9044 |
+
"epoch": 106.82,
|
| 9045 |
+
"learning_rate": 9.138381201044386e-08,
|
| 9046 |
+
"loss": 0.226,
|
| 9047 |
+
"step": 1175
|
| 9048 |
+
},
|
| 9049 |
+
{
|
| 9050 |
+
"epoch": 106.91,
|
| 9051 |
+
"learning_rate": 8.877284595300261e-08,
|
| 9052 |
+
"loss": 0.2629,
|
| 9053 |
+
"step": 1176
|
| 9054 |
+
},
|
| 9055 |
+
{
|
| 9056 |
+
"epoch": 107.0,
|
| 9057 |
+
"learning_rate": 8.616187989556137e-08,
|
| 9058 |
+
"loss": 0.2674,
|
| 9059 |
+
"step": 1177
|
| 9060 |
+
},
|
| 9061 |
+
{
|
| 9062 |
+
"epoch": 107.09,
|
| 9063 |
+
"learning_rate": 8.35509138381201e-08,
|
| 9064 |
+
"loss": 0.2729,
|
| 9065 |
+
"step": 1178
|
| 9066 |
+
},
|
| 9067 |
+
{
|
| 9068 |
+
"epoch": 107.18,
|
| 9069 |
+
"learning_rate": 8.093994778067885e-08,
|
| 9070 |
+
"loss": 0.2824,
|
| 9071 |
+
"step": 1179
|
| 9072 |
+
},
|
| 9073 |
+
{
|
| 9074 |
+
"epoch": 107.27,
|
| 9075 |
+
"learning_rate": 7.83289817232376e-08,
|
| 9076 |
+
"loss": 0.2503,
|
| 9077 |
+
"step": 1180
|
| 9078 |
+
},
|
| 9079 |
+
{
|
| 9080 |
+
"epoch": 107.27,
|
| 9081 |
+
"eval_accuracy_safe": 0.682225588953011,
|
| 9082 |
+
"eval_accuracy_unlabeled": NaN,
|
| 9083 |
+
"eval_accuracy_unsafe": 0.9902289524939093,
|
| 9084 |
+
"eval_iou_safe": 0.5171544669118453,
|
| 9085 |
+
"eval_iou_unlabeled": 0.0,
|
| 9086 |
+
"eval_iou_unsafe": 0.9807430760293058,
|
| 9087 |
+
"eval_loss": 0.23972667753696442,
|
| 9088 |
+
"eval_mean_accuracy": 0.8362272707234601,
|
| 9089 |
+
"eval_mean_iou": 0.49929918098038373,
|
| 9090 |
+
"eval_overall_accuracy": 0.9811310269939366,
|
| 9091 |
+
"eval_runtime": 10.3086,
|
| 9092 |
+
"eval_samples_per_second": 6.499,
|
| 9093 |
+
"eval_steps_per_second": 0.485,
|
| 9094 |
+
"step": 1180
|
| 9095 |
+
},
|
| 9096 |
+
{
|
| 9097 |
+
"epoch": 107.36,
|
| 9098 |
+
"learning_rate": 7.571801566579634e-08,
|
| 9099 |
+
"loss": 0.2528,
|
| 9100 |
+
"step": 1181
|
| 9101 |
+
},
|
| 9102 |
+
{
|
| 9103 |
+
"epoch": 107.45,
|
| 9104 |
+
"learning_rate": 7.31070496083551e-08,
|
| 9105 |
+
"loss": 0.2749,
|
| 9106 |
+
"step": 1182
|
| 9107 |
+
},
|
| 9108 |
+
{
|
| 9109 |
+
"epoch": 107.55,
|
| 9110 |
+
"learning_rate": 7.049608355091384e-08,
|
| 9111 |
+
"loss": 0.2361,
|
| 9112 |
+
"step": 1183
|
| 9113 |
+
},
|
| 9114 |
+
{
|
| 9115 |
+
"epoch": 107.64,
|
| 9116 |
+
"learning_rate": 6.788511749347258e-08,
|
| 9117 |
+
"loss": 0.2599,
|
| 9118 |
+
"step": 1184
|
| 9119 |
+
},
|
| 9120 |
+
{
|
| 9121 |
+
"epoch": 107.73,
|
| 9122 |
+
"learning_rate": 6.527415143603133e-08,
|
| 9123 |
+
"loss": 0.2649,
|
| 9124 |
+
"step": 1185
|
| 9125 |
+
},
|
| 9126 |
+
{
|
| 9127 |
+
"epoch": 107.82,
|
| 9128 |
+
"learning_rate": 6.266318537859008e-08,
|
| 9129 |
+
"loss": 0.2451,
|
| 9130 |
+
"step": 1186
|
| 9131 |
+
},
|
| 9132 |
+
{
|
| 9133 |
+
"epoch": 107.91,
|
| 9134 |
+
"learning_rate": 6.005221932114884e-08,
|
| 9135 |
+
"loss": 0.265,
|
| 9136 |
+
"step": 1187
|
| 9137 |
+
},
|
| 9138 |
+
{
|
| 9139 |
+
"epoch": 108.0,
|
| 9140 |
+
"learning_rate": 5.744125326370757e-08,
|
| 9141 |
+
"loss": 0.2867,
|
| 9142 |
+
"step": 1188
|
| 9143 |
+
},
|
| 9144 |
+
{
|
| 9145 |
+
"epoch": 108.09,
|
| 9146 |
+
"learning_rate": 5.4830287206266324e-08,
|
| 9147 |
+
"loss": 0.2771,
|
| 9148 |
+
"step": 1189
|
| 9149 |
+
},
|
| 9150 |
+
{
|
| 9151 |
+
"epoch": 108.18,
|
| 9152 |
+
"learning_rate": 5.2219321148825064e-08,
|
| 9153 |
+
"loss": 0.2524,
|
| 9154 |
+
"step": 1190
|
| 9155 |
+
},
|
| 9156 |
+
{
|
| 9157 |
+
"epoch": 108.18,
|
| 9158 |
+
"eval_accuracy_safe": 0.6740837544959348,
|
| 9159 |
+
"eval_accuracy_unlabeled": NaN,
|
| 9160 |
+
"eval_accuracy_unsafe": 0.9909394311922795,
|
| 9161 |
+
"eval_iou_safe": 0.5199116919028611,
|
| 9162 |
+
"eval_iou_unlabeled": 0.0,
|
| 9163 |
+
"eval_iou_unsafe": 0.9812059186949175,
|
| 9164 |
+
"eval_loss": 0.22940021753311157,
|
| 9165 |
+
"eval_mean_accuracy": 0.8325115928441071,
|
| 9166 |
+
"eval_mean_iou": 0.5003725368659262,
|
| 9167 |
+
"eval_overall_accuracy": 0.9815800225556787,
|
| 9168 |
+
"eval_runtime": 9.8553,
|
| 9169 |
+
"eval_samples_per_second": 6.798,
|
| 9170 |
+
"eval_steps_per_second": 0.507,
|
| 9171 |
+
"step": 1190
|
| 9172 |
+
},
|
| 9173 |
+
{
|
| 9174 |
+
"epoch": 108.27,
|
| 9175 |
+
"learning_rate": 4.960835509138382e-08,
|
| 9176 |
+
"loss": 0.2572,
|
| 9177 |
+
"step": 1191
|
| 9178 |
+
},
|
| 9179 |
+
{
|
| 9180 |
+
"epoch": 108.36,
|
| 9181 |
+
"learning_rate": 4.699738903394256e-08,
|
| 9182 |
+
"loss": 0.2375,
|
| 9183 |
+
"step": 1192
|
| 9184 |
+
},
|
| 9185 |
+
{
|
| 9186 |
+
"epoch": 108.45,
|
| 9187 |
+
"learning_rate": 4.4386422976501305e-08,
|
| 9188 |
+
"loss": 0.2592,
|
| 9189 |
+
"step": 1193
|
| 9190 |
+
},
|
| 9191 |
+
{
|
| 9192 |
+
"epoch": 108.55,
|
| 9193 |
+
"learning_rate": 4.177545691906005e-08,
|
| 9194 |
+
"loss": 0.2463,
|
| 9195 |
+
"step": 1194
|
| 9196 |
+
},
|
| 9197 |
+
{
|
| 9198 |
+
"epoch": 108.64,
|
| 9199 |
+
"learning_rate": 3.91644908616188e-08,
|
| 9200 |
+
"loss": 0.2377,
|
| 9201 |
+
"step": 1195
|
| 9202 |
+
},
|
| 9203 |
+
{
|
| 9204 |
+
"epoch": 108.73,
|
| 9205 |
+
"learning_rate": 3.655352480417755e-08,
|
| 9206 |
+
"loss": 0.2416,
|
| 9207 |
+
"step": 1196
|
| 9208 |
+
},
|
| 9209 |
+
{
|
| 9210 |
+
"epoch": 108.82,
|
| 9211 |
+
"learning_rate": 3.394255874673629e-08,
|
| 9212 |
+
"loss": 0.2558,
|
| 9213 |
+
"step": 1197
|
| 9214 |
+
},
|
| 9215 |
+
{
|
| 9216 |
+
"epoch": 108.91,
|
| 9217 |
+
"learning_rate": 3.133159268929504e-08,
|
| 9218 |
+
"loss": 0.2902,
|
| 9219 |
+
"step": 1198
|
| 9220 |
+
},
|
| 9221 |
+
{
|
| 9222 |
+
"epoch": 109.0,
|
| 9223 |
+
"learning_rate": 2.8720626631853785e-08,
|
| 9224 |
+
"loss": 0.2877,
|
| 9225 |
+
"step": 1199
|
| 9226 |
+
},
|
| 9227 |
+
{
|
| 9228 |
+
"epoch": 109.09,
|
| 9229 |
+
"learning_rate": 2.6109660574412532e-08,
|
| 9230 |
+
"loss": 0.2722,
|
| 9231 |
+
"step": 1200
|
| 9232 |
+
},
|
| 9233 |
+
{
|
| 9234 |
+
"epoch": 109.09,
|
| 9235 |
+
"eval_accuracy_safe": 0.6927633278206329,
|
| 9236 |
+
"eval_accuracy_unlabeled": NaN,
|
| 9237 |
+
"eval_accuracy_unsafe": 0.9893742073117,
|
| 9238 |
+
"eval_iou_safe": 0.5144704521640547,
|
| 9239 |
+
"eval_iou_unlabeled": 0.0,
|
| 9240 |
+
"eval_iou_unsafe": 0.9802079010876331,
|
| 9241 |
+
"eval_loss": 0.2461329847574234,
|
| 9242 |
+
"eval_mean_accuracy": 0.8410687675661664,
|
| 9243 |
+
"eval_mean_iou": 0.49822611775056264,
|
| 9244 |
+
"eval_overall_accuracy": 0.9806127975236124,
|
| 9245 |
+
"eval_runtime": 10.7536,
|
| 9246 |
+
"eval_samples_per_second": 6.23,
|
| 9247 |
+
"eval_steps_per_second": 0.465,
|
| 9248 |
+
"step": 1200
|
| 9249 |
+
},
|
| 9250 |
+
{
|
| 9251 |
+
"epoch": 109.18,
|
| 9252 |
+
"learning_rate": 5.058910162002946e-07,
|
| 9253 |
+
"loss": 0.2403,
|
| 9254 |
+
"step": 1201
|
| 9255 |
+
},
|
| 9256 |
+
{
|
| 9257 |
+
"epoch": 109.27,
|
| 9258 |
+
"learning_rate": 5.03681885125184e-07,
|
| 9259 |
+
"loss": 0.2633,
|
| 9260 |
+
"step": 1202
|
| 9261 |
+
},
|
| 9262 |
+
{
|
| 9263 |
+
"epoch": 109.36,
|
| 9264 |
+
"learning_rate": 5.014727540500737e-07,
|
| 9265 |
+
"loss": 0.2314,
|
| 9266 |
+
"step": 1203
|
| 9267 |
+
},
|
| 9268 |
+
{
|
| 9269 |
+
"epoch": 109.45,
|
| 9270 |
+
"learning_rate": 4.992636229749632e-07,
|
| 9271 |
+
"loss": 0.2628,
|
| 9272 |
+
"step": 1204
|
| 9273 |
+
},
|
| 9274 |
+
{
|
| 9275 |
+
"epoch": 109.55,
|
| 9276 |
+
"learning_rate": 4.970544918998527e-07,
|
| 9277 |
+
"loss": 0.2858,
|
| 9278 |
+
"step": 1205
|
| 9279 |
+
},
|
| 9280 |
+
{
|
| 9281 |
+
"epoch": 109.64,
|
| 9282 |
+
"learning_rate": 4.948453608247422e-07,
|
| 9283 |
+
"loss": 0.2463,
|
| 9284 |
+
"step": 1206
|
| 9285 |
+
},
|
| 9286 |
+
{
|
| 9287 |
+
"epoch": 109.73,
|
| 9288 |
+
"learning_rate": 4.926362297496319e-07,
|
| 9289 |
+
"loss": 0.2232,
|
| 9290 |
+
"step": 1207
|
| 9291 |
+
},
|
| 9292 |
+
{
|
| 9293 |
+
"epoch": 109.82,
|
| 9294 |
+
"learning_rate": 4.904270986745214e-07,
|
| 9295 |
+
"loss": 0.2384,
|
| 9296 |
+
"step": 1208
|
| 9297 |
+
},
|
| 9298 |
+
{
|
| 9299 |
+
"epoch": 109.91,
|
| 9300 |
+
"learning_rate": 4.882179675994109e-07,
|
| 9301 |
+
"loss": 0.2542,
|
| 9302 |
+
"step": 1209
|
| 9303 |
+
},
|
| 9304 |
+
{
|
| 9305 |
+
"epoch": 110.0,
|
| 9306 |
+
"learning_rate": 4.860088365243004e-07,
|
| 9307 |
+
"loss": 0.2761,
|
| 9308 |
+
"step": 1210
|
| 9309 |
+
},
|
| 9310 |
+
{
|
| 9311 |
+
"epoch": 110.0,
|
| 9312 |
+
"eval_accuracy_safe": 0.6981218268241063,
|
| 9313 |
+
"eval_accuracy_unlabeled": NaN,
|
| 9314 |
+
"eval_accuracy_unsafe": 0.988942346560362,
|
| 9315 |
+
"eval_iou_safe": 0.5136464391621959,
|
| 9316 |
+
"eval_iou_unlabeled": 0.0,
|
| 9317 |
+
"eval_iou_unsafe": 0.9799386156578034,
|
| 9318 |
+
"eval_loss": 0.2529892325401306,
|
| 9319 |
+
"eval_mean_accuracy": 0.8435320866922341,
|
| 9320 |
+
"eval_mean_iou": 0.4978616849399997,
|
| 9321 |
+
"eval_overall_accuracy": 0.9803519747150478,
|
| 9322 |
+
"eval_runtime": 11.8704,
|
| 9323 |
+
"eval_samples_per_second": 5.644,
|
| 9324 |
+
"eval_steps_per_second": 0.421,
|
| 9325 |
+
"step": 1210
|
| 9326 |
+
},
|
| 9327 |
+
{
|
| 9328 |
+
"epoch": 110.09,
|
| 9329 |
+
"learning_rate": 4.837997054491901e-07,
|
| 9330 |
+
"loss": 0.245,
|
| 9331 |
+
"step": 1211
|
| 9332 |
+
},
|
| 9333 |
+
{
|
| 9334 |
+
"epoch": 110.18,
|
| 9335 |
+
"learning_rate": 4.815905743740796e-07,
|
| 9336 |
+
"loss": 0.269,
|
| 9337 |
+
"step": 1212
|
| 9338 |
+
},
|
| 9339 |
+
{
|
| 9340 |
+
"epoch": 110.27,
|
| 9341 |
+
"learning_rate": 4.79381443298969e-07,
|
| 9342 |
+
"loss": 0.2476,
|
| 9343 |
+
"step": 1213
|
| 9344 |
+
},
|
| 9345 |
+
{
|
| 9346 |
+
"epoch": 110.36,
|
| 9347 |
+
"learning_rate": 4.771723122238586e-07,
|
| 9348 |
+
"loss": 0.2507,
|
| 9349 |
+
"step": 1214
|
| 9350 |
+
},
|
| 9351 |
+
{
|
| 9352 |
+
"epoch": 110.45,
|
| 9353 |
+
"learning_rate": 4.7496318114874815e-07,
|
| 9354 |
+
"loss": 0.2477,
|
| 9355 |
+
"step": 1215
|
| 9356 |
+
},
|
| 9357 |
+
{
|
| 9358 |
+
"epoch": 110.55,
|
| 9359 |
+
"learning_rate": 4.727540500736377e-07,
|
| 9360 |
+
"loss": 0.2485,
|
| 9361 |
+
"step": 1216
|
| 9362 |
+
},
|
| 9363 |
+
{
|
| 9364 |
+
"epoch": 110.64,
|
| 9365 |
+
"learning_rate": 4.7054491899852725e-07,
|
| 9366 |
+
"loss": 0.2638,
|
| 9367 |
+
"step": 1217
|
| 9368 |
+
},
|
| 9369 |
+
{
|
| 9370 |
+
"epoch": 110.73,
|
| 9371 |
+
"learning_rate": 4.683357879234168e-07,
|
| 9372 |
+
"loss": 0.2381,
|
| 9373 |
+
"step": 1218
|
| 9374 |
+
},
|
| 9375 |
+
{
|
| 9376 |
+
"epoch": 110.82,
|
| 9377 |
+
"learning_rate": 4.6612665684830635e-07,
|
| 9378 |
+
"loss": 0.2491,
|
| 9379 |
+
"step": 1219
|
| 9380 |
+
},
|
| 9381 |
+
{
|
| 9382 |
+
"epoch": 110.91,
|
| 9383 |
+
"learning_rate": 4.6391752577319593e-07,
|
| 9384 |
+
"loss": 0.2595,
|
| 9385 |
+
"step": 1220
|
| 9386 |
+
},
|
| 9387 |
+
{
|
| 9388 |
+
"epoch": 110.91,
|
| 9389 |
+
"eval_accuracy_safe": 0.6890586389412531,
|
| 9390 |
+
"eval_accuracy_unlabeled": NaN,
|
| 9391 |
+
"eval_accuracy_unsafe": 0.9900403324265881,
|
| 9392 |
+
"eval_iou_safe": 0.5196969785076293,
|
| 9393 |
+
"eval_iou_unlabeled": 0.0,
|
| 9394 |
+
"eval_iou_unsafe": 0.9807582876854402,
|
| 9395 |
+
"eval_loss": 0.23863691091537476,
|
| 9396 |
+
"eval_mean_accuracy": 0.8395494856839205,
|
| 9397 |
+
"eval_mean_iou": 0.5001517553976899,
|
| 9398 |
+
"eval_overall_accuracy": 0.9811498158013643,
|
| 9399 |
+
"eval_runtime": 11.7338,
|
| 9400 |
+
"eval_samples_per_second": 5.71,
|
| 9401 |
+
"eval_steps_per_second": 0.426,
|
| 9402 |
+
"step": 1220
|
| 9403 |
+
},
|
| 9404 |
+
{
|
| 9405 |
+
"epoch": 111.0,
|
| 9406 |
+
"learning_rate": 4.6170839469808545e-07,
|
| 9407 |
+
"loss": 0.2617,
|
| 9408 |
+
"step": 1221
|
| 9409 |
+
},
|
| 9410 |
+
{
|
| 9411 |
+
"epoch": 111.09,
|
| 9412 |
+
"learning_rate": 4.5949926362297503e-07,
|
| 9413 |
+
"loss": 0.2358,
|
| 9414 |
+
"step": 1222
|
| 9415 |
+
},
|
| 9416 |
+
{
|
| 9417 |
+
"epoch": 111.18,
|
| 9418 |
+
"learning_rate": 4.5729013254786455e-07,
|
| 9419 |
+
"loss": 0.251,
|
| 9420 |
+
"step": 1223
|
| 9421 |
+
},
|
| 9422 |
+
{
|
| 9423 |
+
"epoch": 111.27,
|
| 9424 |
+
"learning_rate": 4.55081001472754e-07,
|
| 9425 |
+
"loss": 0.2633,
|
| 9426 |
+
"step": 1224
|
| 9427 |
+
},
|
| 9428 |
+
{
|
| 9429 |
+
"epoch": 111.36,
|
| 9430 |
+
"learning_rate": 4.528718703976436e-07,
|
| 9431 |
+
"loss": 0.2447,
|
| 9432 |
+
"step": 1225
|
| 9433 |
+
},
|
| 9434 |
+
{
|
| 9435 |
+
"epoch": 111.45,
|
| 9436 |
+
"learning_rate": 4.506627393225331e-07,
|
| 9437 |
+
"loss": 0.2509,
|
| 9438 |
+
"step": 1226
|
| 9439 |
+
},
|
| 9440 |
+
{
|
| 9441 |
+
"epoch": 111.55,
|
| 9442 |
+
"learning_rate": 4.484536082474227e-07,
|
| 9443 |
+
"loss": 0.2705,
|
| 9444 |
+
"step": 1227
|
| 9445 |
+
},
|
| 9446 |
+
{
|
| 9447 |
+
"epoch": 111.64,
|
| 9448 |
+
"learning_rate": 4.462444771723122e-07,
|
| 9449 |
+
"loss": 0.2494,
|
| 9450 |
+
"step": 1228
|
| 9451 |
+
},
|
| 9452 |
+
{
|
| 9453 |
+
"epoch": 111.73,
|
| 9454 |
+
"learning_rate": 4.440353460972018e-07,
|
| 9455 |
+
"loss": 0.2625,
|
| 9456 |
+
"step": 1229
|
| 9457 |
+
},
|
| 9458 |
+
{
|
| 9459 |
+
"epoch": 111.82,
|
| 9460 |
+
"learning_rate": 4.418262150220913e-07,
|
| 9461 |
+
"loss": 0.2877,
|
| 9462 |
+
"step": 1230
|
| 9463 |
+
},
|
| 9464 |
+
{
|
| 9465 |
+
"epoch": 111.82,
|
| 9466 |
+
"eval_accuracy_safe": 0.6779060219505707,
|
| 9467 |
+
"eval_accuracy_unlabeled": NaN,
|
| 9468 |
+
"eval_accuracy_unsafe": 0.9911065784929943,
|
| 9469 |
+
"eval_iou_safe": 0.5250508331865317,
|
| 9470 |
+
"eval_iou_unlabeled": 0.0,
|
| 9471 |
+
"eval_iou_unsafe": 0.981484545675428,
|
| 9472 |
+
"eval_loss": 0.22597333788871765,
|
| 9473 |
+
"eval_mean_accuracy": 0.8345063002217825,
|
| 9474 |
+
"eval_mean_iou": 0.5021784596206532,
|
| 9475 |
+
"eval_overall_accuracy": 0.9818551362450443,
|
| 9476 |
+
"eval_runtime": 10.6701,
|
| 9477 |
+
"eval_samples_per_second": 6.279,
|
| 9478 |
+
"eval_steps_per_second": 0.469,
|
| 9479 |
+
"step": 1230
|
| 9480 |
+
},
|
| 9481 |
+
{
|
| 9482 |
+
"epoch": 111.91,
|
| 9483 |
+
"learning_rate": 4.396170839469809e-07,
|
| 9484 |
+
"loss": 0.2425,
|
| 9485 |
+
"step": 1231
|
| 9486 |
+
},
|
| 9487 |
+
{
|
| 9488 |
+
"epoch": 112.0,
|
| 9489 |
+
"learning_rate": 4.374079528718704e-07,
|
| 9490 |
+
"loss": 0.274,
|
| 9491 |
+
"step": 1232
|
| 9492 |
+
},
|
| 9493 |
+
{
|
| 9494 |
+
"epoch": 112.09,
|
| 9495 |
+
"learning_rate": 4.3519882179676e-07,
|
| 9496 |
+
"loss": 0.2509,
|
| 9497 |
+
"step": 1233
|
| 9498 |
+
},
|
| 9499 |
+
{
|
| 9500 |
+
"epoch": 112.18,
|
| 9501 |
+
"learning_rate": 4.3298969072164947e-07,
|
| 9502 |
+
"loss": 0.2546,
|
| 9503 |
+
"step": 1234
|
| 9504 |
+
},
|
| 9505 |
+
{
|
| 9506 |
+
"epoch": 112.27,
|
| 9507 |
+
"learning_rate": 4.30780559646539e-07,
|
| 9508 |
+
"loss": 0.2595,
|
| 9509 |
+
"step": 1235
|
| 9510 |
+
},
|
| 9511 |
+
{
|
| 9512 |
+
"epoch": 112.36,
|
| 9513 |
+
"learning_rate": 4.2857142857142857e-07,
|
| 9514 |
+
"loss": 0.2535,
|
| 9515 |
+
"step": 1236
|
| 9516 |
+
},
|
| 9517 |
+
{
|
| 9518 |
+
"epoch": 112.45,
|
| 9519 |
+
"learning_rate": 4.263622974963181e-07,
|
| 9520 |
+
"loss": 0.2524,
|
| 9521 |
+
"step": 1237
|
| 9522 |
+
},
|
| 9523 |
+
{
|
| 9524 |
+
"epoch": 112.55,
|
| 9525 |
+
"learning_rate": 4.2415316642120767e-07,
|
| 9526 |
+
"loss": 0.2372,
|
| 9527 |
+
"step": 1238
|
| 9528 |
+
},
|
| 9529 |
+
{
|
| 9530 |
+
"epoch": 112.64,
|
| 9531 |
+
"learning_rate": 4.219440353460972e-07,
|
| 9532 |
+
"loss": 0.2495,
|
| 9533 |
+
"step": 1239
|
| 9534 |
+
},
|
| 9535 |
+
{
|
| 9536 |
+
"epoch": 112.73,
|
| 9537 |
+
"learning_rate": 4.1973490427098677e-07,
|
| 9538 |
+
"loss": 0.2307,
|
| 9539 |
+
"step": 1240
|
| 9540 |
+
},
|
| 9541 |
+
{
|
| 9542 |
+
"epoch": 112.73,
|
| 9543 |
+
"eval_accuracy_safe": 0.6717495306494577,
|
| 9544 |
+
"eval_accuracy_unlabeled": NaN,
|
| 9545 |
+
"eval_accuracy_unsafe": 0.9916446297021398,
|
| 9546 |
+
"eval_iou_safe": 0.5274904076829351,
|
| 9547 |
+
"eval_iou_unlabeled": 0.0,
|
| 9548 |
+
"eval_iou_unsafe": 0.9818352893830999,
|
| 9549 |
+
"eval_loss": 0.22187493741512299,
|
| 9550 |
+
"eval_mean_accuracy": 0.8316970801757988,
|
| 9551 |
+
"eval_mean_iou": 0.5031085656886783,
|
| 9552 |
+
"eval_overall_accuracy": 0.9821954414026061,
|
| 9553 |
+
"eval_runtime": 10.6767,
|
| 9554 |
+
"eval_samples_per_second": 6.275,
|
| 9555 |
+
"eval_steps_per_second": 0.468,
|
| 9556 |
+
"step": 1240
|
| 9557 |
+
},
|
| 9558 |
+
{
|
| 9559 |
+
"epoch": 112.82,
|
| 9560 |
+
"learning_rate": 4.175257731958763e-07,
|
| 9561 |
+
"loss": 0.2705,
|
| 9562 |
+
"step": 1241
|
| 9563 |
+
},
|
| 9564 |
+
{
|
| 9565 |
+
"epoch": 112.91,
|
| 9566 |
+
"learning_rate": 4.1531664212076587e-07,
|
| 9567 |
+
"loss": 0.243,
|
| 9568 |
+
"step": 1242
|
| 9569 |
+
},
|
| 9570 |
+
{
|
| 9571 |
+
"epoch": 113.0,
|
| 9572 |
+
"learning_rate": 4.1310751104565544e-07,
|
| 9573 |
+
"loss": 0.2737,
|
| 9574 |
+
"step": 1243
|
| 9575 |
+
},
|
| 9576 |
+
{
|
| 9577 |
+
"epoch": 113.09,
|
| 9578 |
+
"learning_rate": 4.1089837997054497e-07,
|
| 9579 |
+
"loss": 0.2452,
|
| 9580 |
+
"step": 1244
|
| 9581 |
+
},
|
| 9582 |
+
{
|
| 9583 |
+
"epoch": 113.18,
|
| 9584 |
+
"learning_rate": 4.0868924889543444e-07,
|
| 9585 |
+
"loss": 0.2371,
|
| 9586 |
+
"step": 1245
|
| 9587 |
+
},
|
| 9588 |
+
{
|
| 9589 |
+
"epoch": 113.27,
|
| 9590 |
+
"learning_rate": 4.06480117820324e-07,
|
| 9591 |
+
"loss": 0.2642,
|
| 9592 |
+
"step": 1246
|
| 9593 |
+
},
|
| 9594 |
+
{
|
| 9595 |
+
"epoch": 113.36,
|
| 9596 |
+
"learning_rate": 4.0427098674521353e-07,
|
| 9597 |
+
"loss": 0.2855,
|
| 9598 |
+
"step": 1247
|
| 9599 |
+
},
|
| 9600 |
+
{
|
| 9601 |
+
"epoch": 113.45,
|
| 9602 |
+
"learning_rate": 4.020618556701031e-07,
|
| 9603 |
+
"loss": 0.2299,
|
| 9604 |
+
"step": 1248
|
| 9605 |
+
},
|
| 9606 |
+
{
|
| 9607 |
+
"epoch": 113.55,
|
| 9608 |
+
"learning_rate": 3.9985272459499263e-07,
|
| 9609 |
+
"loss": 0.2702,
|
| 9610 |
+
"step": 1249
|
| 9611 |
+
},
|
| 9612 |
+
{
|
| 9613 |
+
"epoch": 113.64,
|
| 9614 |
+
"learning_rate": 3.976435935198822e-07,
|
| 9615 |
+
"loss": 0.2559,
|
| 9616 |
+
"step": 1250
|
| 9617 |
+
},
|
| 9618 |
+
{
|
| 9619 |
+
"epoch": 113.64,
|
| 9620 |
+
"eval_accuracy_safe": 0.6926515317982583,
|
| 9621 |
+
"eval_accuracy_unlabeled": NaN,
|
| 9622 |
+
"eval_accuracy_unsafe": 0.989994394786553,
|
| 9623 |
+
"eval_iou_safe": 0.5223786867158301,
|
| 9624 |
+
"eval_iou_unlabeled": 0.0,
|
| 9625 |
+
"eval_iou_unsafe": 0.9808192641220421,
|
| 9626 |
+
"eval_loss": 0.23822158575057983,
|
| 9627 |
+
"eval_mean_accuracy": 0.8413229632924057,
|
| 9628 |
+
"eval_mean_iou": 0.501065983612624,
|
| 9629 |
+
"eval_overall_accuracy": 0.981211363379635,
|
| 9630 |
+
"eval_runtime": 10.6254,
|
| 9631 |
+
"eval_samples_per_second": 6.306,
|
| 9632 |
+
"eval_steps_per_second": 0.471,
|
| 9633 |
+
"step": 1250
|
| 9634 |
+
},
|
| 9635 |
+
{
|
| 9636 |
+
"epoch": 113.73,
|
| 9637 |
+
"learning_rate": 3.9543446244477173e-07,
|
| 9638 |
+
"loss": 0.2448,
|
| 9639 |
+
"step": 1251
|
| 9640 |
+
},
|
| 9641 |
+
{
|
| 9642 |
+
"epoch": 113.82,
|
| 9643 |
+
"learning_rate": 3.932253313696613e-07,
|
| 9644 |
+
"loss": 0.2333,
|
| 9645 |
+
"step": 1252
|
| 9646 |
+
},
|
| 9647 |
+
{
|
| 9648 |
+
"epoch": 113.91,
|
| 9649 |
+
"learning_rate": 3.9101620029455083e-07,
|
| 9650 |
+
"loss": 0.2408,
|
| 9651 |
+
"step": 1253
|
| 9652 |
+
},
|
| 9653 |
+
{
|
| 9654 |
+
"epoch": 114.0,
|
| 9655 |
+
"learning_rate": 3.888070692194404e-07,
|
| 9656 |
+
"loss": 0.2342,
|
| 9657 |
+
"step": 1254
|
| 9658 |
+
},
|
| 9659 |
+
{
|
| 9660 |
+
"epoch": 114.09,
|
| 9661 |
+
"learning_rate": 3.865979381443299e-07,
|
| 9662 |
+
"loss": 0.2117,
|
| 9663 |
+
"step": 1255
|
| 9664 |
+
},
|
| 9665 |
+
{
|
| 9666 |
+
"epoch": 114.18,
|
| 9667 |
+
"learning_rate": 3.843888070692194e-07,
|
| 9668 |
+
"loss": 0.2651,
|
| 9669 |
+
"step": 1256
|
| 9670 |
+
},
|
| 9671 |
+
{
|
| 9672 |
+
"epoch": 114.27,
|
| 9673 |
+
"learning_rate": 3.82179675994109e-07,
|
| 9674 |
+
"loss": 0.2763,
|
| 9675 |
+
"step": 1257
|
| 9676 |
+
},
|
| 9677 |
+
{
|
| 9678 |
+
"epoch": 114.36,
|
| 9679 |
+
"learning_rate": 3.799705449189985e-07,
|
| 9680 |
+
"loss": 0.2374,
|
| 9681 |
+
"step": 1258
|
| 9682 |
+
},
|
| 9683 |
+
{
|
| 9684 |
+
"epoch": 114.45,
|
| 9685 |
+
"learning_rate": 3.777614138438881e-07,
|
| 9686 |
+
"loss": 0.2341,
|
| 9687 |
+
"step": 1259
|
| 9688 |
+
},
|
| 9689 |
+
{
|
| 9690 |
+
"epoch": 114.55,
|
| 9691 |
+
"learning_rate": 3.755522827687776e-07,
|
| 9692 |
+
"loss": 0.2668,
|
| 9693 |
+
"step": 1260
|
| 9694 |
+
},
|
| 9695 |
+
{
|
| 9696 |
+
"epoch": 114.55,
|
| 9697 |
+
"eval_accuracy_safe": 0.6883416023839538,
|
| 9698 |
+
"eval_accuracy_unlabeled": NaN,
|
| 9699 |
+
"eval_accuracy_unsafe": 0.9905610763511739,
|
| 9700 |
+
"eval_iou_safe": 0.5258211330878315,
|
| 9701 |
+
"eval_iou_unlabeled": 0.0,
|
| 9702 |
+
"eval_iou_unsafe": 0.9812530486243857,
|
| 9703 |
+
"eval_loss": 0.2275046706199646,
|
| 9704 |
+
"eval_mean_accuracy": 0.8394513393675638,
|
| 9705 |
+
"eval_mean_iou": 0.5023580605707391,
|
| 9706 |
+
"eval_overall_accuracy": 0.9816339976751982,
|
| 9707 |
+
"eval_runtime": 10.1275,
|
| 9708 |
+
"eval_samples_per_second": 6.616,
|
| 9709 |
+
"eval_steps_per_second": 0.494,
|
| 9710 |
+
"step": 1260
|
| 9711 |
+
},
|
| 9712 |
+
{
|
| 9713 |
+
"epoch": 114.64,
|
| 9714 |
+
"learning_rate": 3.733431516936672e-07,
|
| 9715 |
+
"loss": 0.2563,
|
| 9716 |
+
"step": 1261
|
| 9717 |
+
},
|
| 9718 |
+
{
|
| 9719 |
+
"epoch": 114.73,
|
| 9720 |
+
"learning_rate": 3.711340206185567e-07,
|
| 9721 |
+
"loss": 0.2266,
|
| 9722 |
+
"step": 1262
|
| 9723 |
+
},
|
| 9724 |
+
{
|
| 9725 |
+
"epoch": 114.82,
|
| 9726 |
+
"learning_rate": 3.689248895434462e-07,
|
| 9727 |
+
"loss": 0.2341,
|
| 9728 |
+
"step": 1263
|
| 9729 |
+
},
|
| 9730 |
+
{
|
| 9731 |
+
"epoch": 114.91,
|
| 9732 |
+
"learning_rate": 3.667157584683358e-07,
|
| 9733 |
+
"loss": 0.2516,
|
| 9734 |
+
"step": 1264
|
| 9735 |
+
},
|
| 9736 |
+
{
|
| 9737 |
+
"epoch": 115.0,
|
| 9738 |
+
"learning_rate": 3.645066273932253e-07,
|
| 9739 |
+
"loss": 0.256,
|
| 9740 |
+
"step": 1265
|
| 9741 |
+
},
|
| 9742 |
+
{
|
| 9743 |
+
"epoch": 115.09,
|
| 9744 |
+
"learning_rate": 3.622974963181149e-07,
|
| 9745 |
+
"loss": 0.2606,
|
| 9746 |
+
"step": 1266
|
| 9747 |
+
},
|
| 9748 |
+
{
|
| 9749 |
+
"epoch": 115.18,
|
| 9750 |
+
"learning_rate": 3.600883652430044e-07,
|
| 9751 |
+
"loss": 0.2305,
|
| 9752 |
+
"step": 1267
|
| 9753 |
+
},
|
| 9754 |
+
{
|
| 9755 |
+
"epoch": 115.27,
|
| 9756 |
+
"learning_rate": 3.57879234167894e-07,
|
| 9757 |
+
"loss": 0.2448,
|
| 9758 |
+
"step": 1268
|
| 9759 |
+
},
|
| 9760 |
+
{
|
| 9761 |
+
"epoch": 115.36,
|
| 9762 |
+
"learning_rate": 3.556701030927835e-07,
|
| 9763 |
+
"loss": 0.2591,
|
| 9764 |
+
"step": 1269
|
| 9765 |
+
},
|
| 9766 |
+
{
|
| 9767 |
+
"epoch": 115.45,
|
| 9768 |
+
"learning_rate": 3.5346097201767305e-07,
|
| 9769 |
+
"loss": 0.2269,
|
| 9770 |
+
"step": 1270
|
| 9771 |
+
},
|
| 9772 |
+
{
|
| 9773 |
+
"epoch": 115.45,
|
| 9774 |
+
"eval_accuracy_safe": 0.6798451046834824,
|
| 9775 |
+
"eval_accuracy_unlabeled": NaN,
|
| 9776 |
+
"eval_accuracy_unsafe": 0.9913400801626486,
|
| 9777 |
+
"eval_iou_safe": 0.5296355972544032,
|
| 9778 |
+
"eval_iou_unlabeled": 0.0,
|
| 9779 |
+
"eval_iou_unsafe": 0.9817733340142957,
|
| 9780 |
+
"eval_loss": 0.22122938930988312,
|
| 9781 |
+
"eval_mean_accuracy": 0.8355925924230655,
|
| 9782 |
+
"eval_mean_iou": 0.5038029770895663,
|
| 9783 |
+
"eval_overall_accuracy": 0.982139018044543,
|
| 9784 |
+
"eval_runtime": 10.1403,
|
| 9785 |
+
"eval_samples_per_second": 6.607,
|
| 9786 |
+
"eval_steps_per_second": 0.493,
|
| 9787 |
+
"step": 1270
|
| 9788 |
+
},
|
| 9789 |
+
{
|
| 9790 |
+
"epoch": 115.55,
|
| 9791 |
+
"learning_rate": 3.512518409425626e-07,
|
| 9792 |
+
"loss": 0.2374,
|
| 9793 |
+
"step": 1271
|
| 9794 |
+
},
|
| 9795 |
+
{
|
| 9796 |
+
"epoch": 115.64,
|
| 9797 |
+
"learning_rate": 3.4904270986745215e-07,
|
| 9798 |
+
"loss": 0.2579,
|
| 9799 |
+
"step": 1272
|
| 9800 |
+
},
|
| 9801 |
+
{
|
| 9802 |
+
"epoch": 115.73,
|
| 9803 |
+
"learning_rate": 3.468335787923417e-07,
|
| 9804 |
+
"loss": 0.2653,
|
| 9805 |
+
"step": 1273
|
| 9806 |
+
},
|
| 9807 |
+
{
|
| 9808 |
+
"epoch": 115.82,
|
| 9809 |
+
"learning_rate": 3.446244477172312e-07,
|
| 9810 |
+
"loss": 0.227,
|
| 9811 |
+
"step": 1274
|
| 9812 |
+
},
|
| 9813 |
+
{
|
| 9814 |
+
"epoch": 115.91,
|
| 9815 |
+
"learning_rate": 3.4241531664212077e-07,
|
| 9816 |
+
"loss": 0.2473,
|
| 9817 |
+
"step": 1275
|
| 9818 |
+
},
|
| 9819 |
+
{
|
| 9820 |
+
"epoch": 116.0,
|
| 9821 |
+
"learning_rate": 3.402061855670103e-07,
|
| 9822 |
+
"loss": 0.2413,
|
| 9823 |
+
"step": 1276
|
| 9824 |
+
},
|
| 9825 |
+
{
|
| 9826 |
+
"epoch": 116.09,
|
| 9827 |
+
"learning_rate": 3.3799705449189987e-07,
|
| 9828 |
+
"loss": 0.2626,
|
| 9829 |
+
"step": 1277
|
| 9830 |
+
},
|
| 9831 |
+
{
|
| 9832 |
+
"epoch": 116.18,
|
| 9833 |
+
"learning_rate": 3.3578792341678944e-07,
|
| 9834 |
+
"loss": 0.2413,
|
| 9835 |
+
"step": 1278
|
| 9836 |
+
},
|
| 9837 |
+
{
|
| 9838 |
+
"epoch": 116.27,
|
| 9839 |
+
"learning_rate": 3.335787923416789e-07,
|
| 9840 |
+
"loss": 0.2478,
|
| 9841 |
+
"step": 1279
|
| 9842 |
+
},
|
| 9843 |
+
{
|
| 9844 |
+
"epoch": 116.36,
|
| 9845 |
+
"learning_rate": 3.313696612665685e-07,
|
| 9846 |
+
"loss": 0.2713,
|
| 9847 |
+
"step": 1280
|
| 9848 |
+
},
|
| 9849 |
+
{
|
| 9850 |
+
"epoch": 116.36,
|
| 9851 |
+
"eval_accuracy_safe": 0.6816897390526636,
|
| 9852 |
+
"eval_accuracy_unlabeled": NaN,
|
| 9853 |
+
"eval_accuracy_unsafe": 0.9912800620199209,
|
| 9854 |
+
"eval_iou_safe": 0.5304593158334445,
|
| 9855 |
+
"eval_iou_unlabeled": 0.0,
|
| 9856 |
+
"eval_iou_unsafe": 0.9817684854950441,
|
| 9857 |
+
"eval_loss": 0.22652094066143036,
|
| 9858 |
+
"eval_mean_accuracy": 0.8364849005362922,
|
| 9859 |
+
"eval_mean_iou": 0.5040759337761629,
|
| 9860 |
+
"eval_overall_accuracy": 0.9821352602830574,
|
| 9861 |
+
"eval_runtime": 10.9916,
|
| 9862 |
+
"eval_samples_per_second": 6.096,
|
| 9863 |
+
"eval_steps_per_second": 0.455,
|
| 9864 |
+
"step": 1280
|
| 9865 |
+
},
|
| 9866 |
+
{
|
| 9867 |
+
"epoch": 116.45,
|
| 9868 |
+
"learning_rate": 3.29160530191458e-07,
|
| 9869 |
+
"loss": 0.2339,
|
| 9870 |
+
"step": 1281
|
| 9871 |
+
},
|
| 9872 |
+
{
|
| 9873 |
+
"epoch": 116.55,
|
| 9874 |
+
"learning_rate": 3.269513991163476e-07,
|
| 9875 |
+
"loss": 0.2386,
|
| 9876 |
+
"step": 1282
|
| 9877 |
+
},
|
| 9878 |
+
{
|
| 9879 |
+
"epoch": 116.64,
|
| 9880 |
+
"learning_rate": 3.247422680412371e-07,
|
| 9881 |
+
"loss": 0.2582,
|
| 9882 |
+
"step": 1283
|
| 9883 |
+
},
|
| 9884 |
+
{
|
| 9885 |
+
"epoch": 116.73,
|
| 9886 |
+
"learning_rate": 3.225331369661267e-07,
|
| 9887 |
+
"loss": 0.2297,
|
| 9888 |
+
"step": 1284
|
| 9889 |
+
},
|
| 9890 |
+
{
|
| 9891 |
+
"epoch": 116.82,
|
| 9892 |
+
"learning_rate": 3.203240058910162e-07,
|
| 9893 |
+
"loss": 0.2621,
|
| 9894 |
+
"step": 1285
|
| 9895 |
+
},
|
| 9896 |
+
{
|
| 9897 |
+
"epoch": 116.91,
|
| 9898 |
+
"learning_rate": 3.1811487481590574e-07,
|
| 9899 |
+
"loss": 0.2372,
|
| 9900 |
+
"step": 1286
|
| 9901 |
+
},
|
| 9902 |
+
{
|
| 9903 |
+
"epoch": 117.0,
|
| 9904 |
+
"learning_rate": 3.159057437407953e-07,
|
| 9905 |
+
"loss": 0.2213,
|
| 9906 |
+
"step": 1287
|
| 9907 |
+
},
|
| 9908 |
+
{
|
| 9909 |
+
"epoch": 117.09,
|
| 9910 |
+
"learning_rate": 3.1369661266568484e-07,
|
| 9911 |
+
"loss": 0.2314,
|
| 9912 |
+
"step": 1288
|
| 9913 |
+
},
|
| 9914 |
+
{
|
| 9915 |
+
"epoch": 117.18,
|
| 9916 |
+
"learning_rate": 3.114874815905744e-07,
|
| 9917 |
+
"loss": 0.2534,
|
| 9918 |
+
"step": 1289
|
| 9919 |
+
},
|
| 9920 |
+
{
|
| 9921 |
+
"epoch": 117.27,
|
| 9922 |
+
"learning_rate": 3.092783505154639e-07,
|
| 9923 |
+
"loss": 0.2351,
|
| 9924 |
+
"step": 1290
|
| 9925 |
+
},
|
| 9926 |
+
{
|
| 9927 |
+
"epoch": 117.27,
|
| 9928 |
+
"eval_accuracy_safe": 0.6579793447211075,
|
| 9929 |
+
"eval_accuracy_unlabeled": NaN,
|
| 9930 |
+
"eval_accuracy_unsafe": 0.9930648830737456,
|
| 9931 |
+
"eval_iou_safe": 0.5362673788390543,
|
| 9932 |
+
"eval_iou_unlabeled": 0.0,
|
| 9933 |
+
"eval_iou_unsafe": 0.9828336908450164,
|
| 9934 |
+
"eval_loss": 0.2113417536020279,
|
| 9935 |
+
"eval_mean_accuracy": 0.8255221138974266,
|
| 9936 |
+
"eval_mean_iou": 0.5063670232280235,
|
| 9937 |
+
"eval_overall_accuracy": 0.9831669935539588,
|
| 9938 |
+
"eval_runtime": 10.2072,
|
| 9939 |
+
"eval_samples_per_second": 6.564,
|
| 9940 |
+
"eval_steps_per_second": 0.49,
|
| 9941 |
+
"step": 1290
|
| 9942 |
+
},
|
| 9943 |
+
{
|
| 9944 |
+
"epoch": 117.36,
|
| 9945 |
+
"learning_rate": 3.0706921944035346e-07,
|
| 9946 |
+
"loss": 0.2175,
|
| 9947 |
+
"step": 1291
|
| 9948 |
+
},
|
| 9949 |
+
{
|
| 9950 |
+
"epoch": 117.45,
|
| 9951 |
+
"learning_rate": 3.0486008836524304e-07,
|
| 9952 |
+
"loss": 0.2224,
|
| 9953 |
+
"step": 1292
|
| 9954 |
+
},
|
| 9955 |
+
{
|
| 9956 |
+
"epoch": 117.55,
|
| 9957 |
+
"learning_rate": 3.0265095729013256e-07,
|
| 9958 |
+
"loss": 0.2312,
|
| 9959 |
+
"step": 1293
|
| 9960 |
+
},
|
| 9961 |
+
{
|
| 9962 |
+
"epoch": 117.64,
|
| 9963 |
+
"learning_rate": 3.0044182621502213e-07,
|
| 9964 |
+
"loss": 0.2375,
|
| 9965 |
+
"step": 1294
|
| 9966 |
+
},
|
| 9967 |
+
{
|
| 9968 |
+
"epoch": 117.73,
|
| 9969 |
+
"learning_rate": 2.982326951399116e-07,
|
| 9970 |
+
"loss": 0.2356,
|
| 9971 |
+
"step": 1295
|
| 9972 |
+
},
|
| 9973 |
+
{
|
| 9974 |
+
"epoch": 117.82,
|
| 9975 |
+
"learning_rate": 2.960235640648012e-07,
|
| 9976 |
+
"loss": 0.2562,
|
| 9977 |
+
"step": 1296
|
| 9978 |
+
},
|
| 9979 |
+
{
|
| 9980 |
+
"epoch": 117.91,
|
| 9981 |
+
"learning_rate": 2.938144329896907e-07,
|
| 9982 |
+
"loss": 0.2721,
|
| 9983 |
+
"step": 1297
|
| 9984 |
+
},
|
| 9985 |
+
{
|
| 9986 |
+
"epoch": 118.0,
|
| 9987 |
+
"learning_rate": 2.916053019145803e-07,
|
| 9988 |
+
"loss": 0.3198,
|
| 9989 |
+
"step": 1298
|
| 9990 |
+
},
|
| 9991 |
+
{
|
| 9992 |
+
"epoch": 118.09,
|
| 9993 |
+
"learning_rate": 2.893961708394698e-07,
|
| 9994 |
+
"loss": 0.238,
|
| 9995 |
+
"step": 1299
|
| 9996 |
+
},
|
| 9997 |
+
{
|
| 9998 |
+
"epoch": 118.18,
|
| 9999 |
+
"learning_rate": 2.871870397643594e-07,
|
| 10000 |
+
"loss": 0.2306,
|
| 10001 |
+
"step": 1300
|
| 10002 |
+
},
|
| 10003 |
+
{
|
| 10004 |
+
"epoch": 118.18,
|
| 10005 |
+
"eval_accuracy_safe": 0.6791473433024545,
|
| 10006 |
+
"eval_accuracy_unlabeled": NaN,
|
| 10007 |
+
"eval_accuracy_unsafe": 0.9916780122272738,
|
| 10008 |
+
"eval_iou_safe": 0.53369130566495,
|
| 10009 |
+
"eval_iou_unlabeled": 0.0,
|
| 10010 |
+
"eval_iou_unsafe": 0.9820873485493454,
|
| 10011 |
+
"eval_loss": 0.22578716278076172,
|
| 10012 |
+
"eval_mean_accuracy": 0.8354126777648642,
|
| 10013 |
+
"eval_mean_iou": 0.5052595514047652,
|
| 10014 |
+
"eval_overall_accuracy": 0.9824463573854361,
|
| 10015 |
+
"eval_runtime": 10.6471,
|
| 10016 |
+
"eval_samples_per_second": 6.293,
|
| 10017 |
+
"eval_steps_per_second": 0.47,
|
| 10018 |
+
"step": 1300
|
| 10019 |
+
},
|
| 10020 |
+
{
|
| 10021 |
+
"epoch": 118.27,
|
| 10022 |
+
"learning_rate": 2.849779086892489e-07,
|
| 10023 |
+
"loss": 0.24,
|
| 10024 |
+
"step": 1301
|
| 10025 |
+
},
|
| 10026 |
+
{
|
| 10027 |
+
"epoch": 118.36,
|
| 10028 |
+
"learning_rate": 2.8276877761413843e-07,
|
| 10029 |
+
"loss": 0.2659,
|
| 10030 |
+
"step": 1302
|
| 10031 |
+
},
|
| 10032 |
+
{
|
| 10033 |
+
"epoch": 118.45,
|
| 10034 |
+
"learning_rate": 2.80559646539028e-07,
|
| 10035 |
+
"loss": 0.2316,
|
| 10036 |
+
"step": 1303
|
| 10037 |
+
},
|
| 10038 |
+
{
|
| 10039 |
+
"epoch": 118.55,
|
| 10040 |
+
"learning_rate": 2.783505154639175e-07,
|
| 10041 |
+
"loss": 0.2537,
|
| 10042 |
+
"step": 1304
|
| 10043 |
+
},
|
| 10044 |
+
{
|
| 10045 |
+
"epoch": 118.64,
|
| 10046 |
+
"learning_rate": 2.761413843888071e-07,
|
| 10047 |
+
"loss": 0.284,
|
| 10048 |
+
"step": 1305
|
| 10049 |
+
},
|
| 10050 |
+
{
|
| 10051 |
+
"epoch": 118.73,
|
| 10052 |
+
"learning_rate": 2.739322533136966e-07,
|
| 10053 |
+
"loss": 0.2244,
|
| 10054 |
+
"step": 1306
|
| 10055 |
+
},
|
| 10056 |
+
{
|
| 10057 |
+
"epoch": 118.82,
|
| 10058 |
+
"learning_rate": 2.7172312223858615e-07,
|
| 10059 |
+
"loss": 0.2158,
|
| 10060 |
+
"step": 1307
|
| 10061 |
+
},
|
| 10062 |
+
{
|
| 10063 |
+
"epoch": 118.91,
|
| 10064 |
+
"learning_rate": 2.695139911634757e-07,
|
| 10065 |
+
"loss": 0.235,
|
| 10066 |
+
"step": 1308
|
| 10067 |
+
},
|
| 10068 |
+
{
|
| 10069 |
+
"epoch": 119.0,
|
| 10070 |
+
"learning_rate": 2.6730486008836525e-07,
|
| 10071 |
+
"loss": 0.2631,
|
| 10072 |
+
"step": 1309
|
| 10073 |
+
},
|
| 10074 |
+
{
|
| 10075 |
+
"epoch": 119.09,
|
| 10076 |
+
"learning_rate": 2.650957290132548e-07,
|
| 10077 |
+
"loss": 0.2371,
|
| 10078 |
+
"step": 1310
|
| 10079 |
+
},
|
| 10080 |
+
{
|
| 10081 |
+
"epoch": 119.09,
|
| 10082 |
+
"eval_accuracy_safe": 0.6765432669881766,
|
| 10083 |
+
"eval_accuracy_unlabeled": NaN,
|
| 10084 |
+
"eval_accuracy_unsafe": 0.9919063510459408,
|
| 10085 |
+
"eval_iou_safe": 0.5347822046022791,
|
| 10086 |
+
"eval_iou_unlabeled": 0.0,
|
| 10087 |
+
"eval_iou_unsafe": 0.982236378477457,
|
| 10088 |
+
"eval_loss": 0.22342072427272797,
|
| 10089 |
+
"eval_mean_accuracy": 0.8342248090170588,
|
| 10090 |
+
"eval_mean_iou": 0.5056728610265787,
|
| 10091 |
+
"eval_overall_accuracy": 0.9825910312026295,
|
| 10092 |
+
"eval_runtime": 9.5196,
|
| 10093 |
+
"eval_samples_per_second": 7.038,
|
| 10094 |
+
"eval_steps_per_second": 0.525,
|
| 10095 |
+
"step": 1310
|
| 10096 |
+
},
|
| 10097 |
+
{
|
| 10098 |
+
"epoch": 119.18,
|
| 10099 |
+
"learning_rate": 2.628865979381443e-07,
|
| 10100 |
+
"loss": 0.251,
|
| 10101 |
+
"step": 1311
|
| 10102 |
+
},
|
| 10103 |
+
{
|
| 10104 |
+
"epoch": 119.27,
|
| 10105 |
+
"learning_rate": 2.6067746686303387e-07,
|
| 10106 |
+
"loss": 0.2485,
|
| 10107 |
+
"step": 1312
|
| 10108 |
+
},
|
| 10109 |
+
{
|
| 10110 |
+
"epoch": 119.36,
|
| 10111 |
+
"learning_rate": 2.584683357879234e-07,
|
| 10112 |
+
"loss": 0.2169,
|
| 10113 |
+
"step": 1313
|
| 10114 |
+
},
|
| 10115 |
+
{
|
| 10116 |
+
"epoch": 119.45,
|
| 10117 |
+
"learning_rate": 2.5625920471281297e-07,
|
| 10118 |
+
"loss": 0.241,
|
| 10119 |
+
"step": 1314
|
| 10120 |
+
},
|
| 10121 |
+
{
|
| 10122 |
+
"epoch": 119.55,
|
| 10123 |
+
"learning_rate": 2.5405007363770255e-07,
|
| 10124 |
+
"loss": 0.2512,
|
| 10125 |
+
"step": 1315
|
| 10126 |
+
},
|
| 10127 |
+
{
|
| 10128 |
+
"epoch": 119.64,
|
| 10129 |
+
"learning_rate": 2.51840942562592e-07,
|
| 10130 |
+
"loss": 0.2477,
|
| 10131 |
+
"step": 1316
|
| 10132 |
+
},
|
| 10133 |
+
{
|
| 10134 |
+
"epoch": 119.73,
|
| 10135 |
+
"learning_rate": 2.496318114874816e-07,
|
| 10136 |
+
"loss": 0.2319,
|
| 10137 |
+
"step": 1317
|
| 10138 |
+
},
|
| 10139 |
+
{
|
| 10140 |
+
"epoch": 119.82,
|
| 10141 |
+
"learning_rate": 2.474226804123711e-07,
|
| 10142 |
+
"loss": 0.2498,
|
| 10143 |
+
"step": 1318
|
| 10144 |
+
},
|
| 10145 |
+
{
|
| 10146 |
+
"epoch": 119.91,
|
| 10147 |
+
"learning_rate": 2.452135493372607e-07,
|
| 10148 |
+
"loss": 0.2188,
|
| 10149 |
+
"step": 1319
|
| 10150 |
+
},
|
| 10151 |
+
{
|
| 10152 |
+
"epoch": 120.0,
|
| 10153 |
+
"learning_rate": 2.430044182621502e-07,
|
| 10154 |
+
"loss": 0.277,
|
| 10155 |
+
"step": 1320
|
| 10156 |
+
},
|
| 10157 |
+
{
|
| 10158 |
+
"epoch": 120.0,
|
| 10159 |
+
"eval_accuracy_safe": 0.6760266922641007,
|
| 10160 |
+
"eval_accuracy_unlabeled": NaN,
|
| 10161 |
+
"eval_accuracy_unsafe": 0.9920127761787932,
|
| 10162 |
+
"eval_iou_safe": 0.5359261398538566,
|
| 10163 |
+
"eval_iou_unlabeled": 0.0,
|
| 10164 |
+
"eval_iou_unsafe": 0.9823264713164845,
|
| 10165 |
+
"eval_loss": 0.22630931437015533,
|
| 10166 |
+
"eval_mean_accuracy": 0.834019734221447,
|
| 10167 |
+
"eval_mean_iou": 0.5060842037234471,
|
| 10168 |
+
"eval_overall_accuracy": 0.9826790539186392,
|
| 10169 |
+
"eval_runtime": 11.2911,
|
| 10170 |
+
"eval_samples_per_second": 5.934,
|
| 10171 |
+
"eval_steps_per_second": 0.443,
|
| 10172 |
+
"step": 1320
|
| 10173 |
+
},
|
| 10174 |
+
{
|
| 10175 |
+
"epoch": 120.09,
|
| 10176 |
+
"learning_rate": 2.407952871870398e-07,
|
| 10177 |
+
"loss": 0.2455,
|
| 10178 |
+
"step": 1321
|
| 10179 |
+
},
|
| 10180 |
+
{
|
| 10181 |
+
"epoch": 120.18,
|
| 10182 |
+
"learning_rate": 2.385861561119293e-07,
|
| 10183 |
+
"loss": 0.2368,
|
| 10184 |
+
"step": 1322
|
| 10185 |
+
},
|
| 10186 |
+
{
|
| 10187 |
+
"epoch": 120.27,
|
| 10188 |
+
"learning_rate": 2.3637702503681884e-07,
|
| 10189 |
+
"loss": 0.2408,
|
| 10190 |
+
"step": 1323
|
| 10191 |
+
},
|
| 10192 |
+
{
|
| 10193 |
+
"epoch": 120.36,
|
| 10194 |
+
"learning_rate": 2.341678939617084e-07,
|
| 10195 |
+
"loss": 0.2503,
|
| 10196 |
+
"step": 1324
|
| 10197 |
+
},
|
| 10198 |
+
{
|
| 10199 |
+
"epoch": 120.45,
|
| 10200 |
+
"learning_rate": 2.3195876288659797e-07,
|
| 10201 |
+
"loss": 0.2282,
|
| 10202 |
+
"step": 1325
|
| 10203 |
+
},
|
| 10204 |
+
{
|
| 10205 |
+
"epoch": 120.55,
|
| 10206 |
+
"learning_rate": 2.2974963181148751e-07,
|
| 10207 |
+
"loss": 0.2042,
|
| 10208 |
+
"step": 1326
|
| 10209 |
+
},
|
| 10210 |
+
{
|
| 10211 |
+
"epoch": 120.64,
|
| 10212 |
+
"learning_rate": 2.27540500736377e-07,
|
| 10213 |
+
"loss": 0.2779,
|
| 10214 |
+
"step": 1327
|
| 10215 |
+
},
|
| 10216 |
+
{
|
| 10217 |
+
"epoch": 120.73,
|
| 10218 |
+
"learning_rate": 2.2533136966126656e-07,
|
| 10219 |
+
"loss": 0.2478,
|
| 10220 |
+
"step": 1328
|
| 10221 |
+
},
|
| 10222 |
+
{
|
| 10223 |
+
"epoch": 120.82,
|
| 10224 |
+
"learning_rate": 2.231222385861561e-07,
|
| 10225 |
+
"loss": 0.2247,
|
| 10226 |
+
"step": 1329
|
| 10227 |
+
},
|
| 10228 |
+
{
|
| 10229 |
+
"epoch": 120.91,
|
| 10230 |
+
"learning_rate": 2.2091310751104566e-07,
|
| 10231 |
+
"loss": 0.2121,
|
| 10232 |
+
"step": 1330
|
| 10233 |
+
},
|
| 10234 |
+
{
|
| 10235 |
+
"epoch": 120.91,
|
| 10236 |
+
"eval_accuracy_safe": 0.6751843670610368,
|
| 10237 |
+
"eval_accuracy_unlabeled": NaN,
|
| 10238 |
+
"eval_accuracy_unsafe": 0.9921348658708914,
|
| 10239 |
+
"eval_iou_safe": 0.5369510533246061,
|
| 10240 |
+
"eval_iou_unlabeled": 0.0,
|
| 10241 |
+
"eval_iou_unsafe": 0.982422427237456,
|
| 10242 |
+
"eval_loss": 0.21907496452331543,
|
| 10243 |
+
"eval_mean_accuracy": 0.8336596164659641,
|
| 10244 |
+
"eval_mean_iou": 0.5064578268540206,
|
| 10245 |
+
"eval_overall_accuracy": 0.9827726563410972,
|
| 10246 |
+
"eval_runtime": 13.2654,
|
| 10247 |
+
"eval_samples_per_second": 5.051,
|
| 10248 |
+
"eval_steps_per_second": 0.377,
|
| 10249 |
+
"step": 1330
|
| 10250 |
+
},
|
| 10251 |
+
{
|
| 10252 |
+
"epoch": 121.0,
|
| 10253 |
+
"learning_rate": 2.187039764359352e-07,
|
| 10254 |
+
"loss": 0.2455,
|
| 10255 |
+
"step": 1331
|
| 10256 |
+
},
|
| 10257 |
+
{
|
| 10258 |
+
"epoch": 121.09,
|
| 10259 |
+
"learning_rate": 2.1649484536082473e-07,
|
| 10260 |
+
"loss": 0.253,
|
| 10261 |
+
"step": 1332
|
| 10262 |
+
},
|
| 10263 |
+
{
|
| 10264 |
+
"epoch": 121.18,
|
| 10265 |
+
"learning_rate": 2.1428571428571428e-07,
|
| 10266 |
+
"loss": 0.2496,
|
| 10267 |
+
"step": 1333
|
| 10268 |
+
},
|
| 10269 |
+
{
|
| 10270 |
+
"epoch": 121.27,
|
| 10271 |
+
"learning_rate": 2.1207658321060383e-07,
|
| 10272 |
+
"loss": 0.2477,
|
| 10273 |
+
"step": 1334
|
| 10274 |
+
},
|
| 10275 |
+
{
|
| 10276 |
+
"epoch": 121.36,
|
| 10277 |
+
"learning_rate": 2.0986745213549338e-07,
|
| 10278 |
+
"loss": 0.2315,
|
| 10279 |
+
"step": 1335
|
| 10280 |
+
},
|
| 10281 |
+
{
|
| 10282 |
+
"epoch": 121.45,
|
| 10283 |
+
"learning_rate": 2.0765832106038293e-07,
|
| 10284 |
+
"loss": 0.232,
|
| 10285 |
+
"step": 1336
|
| 10286 |
+
},
|
| 10287 |
+
{
|
| 10288 |
+
"epoch": 121.55,
|
| 10289 |
+
"learning_rate": 2.0544918998527248e-07,
|
| 10290 |
+
"loss": 0.2774,
|
| 10291 |
+
"step": 1337
|
| 10292 |
+
},
|
| 10293 |
+
{
|
| 10294 |
+
"epoch": 121.64,
|
| 10295 |
+
"learning_rate": 2.03240058910162e-07,
|
| 10296 |
+
"loss": 0.2219,
|
| 10297 |
+
"step": 1338
|
| 10298 |
+
},
|
| 10299 |
+
{
|
| 10300 |
+
"epoch": 121.73,
|
| 10301 |
+
"learning_rate": 2.0103092783505156e-07,
|
| 10302 |
+
"loss": 0.2392,
|
| 10303 |
+
"step": 1339
|
| 10304 |
+
},
|
| 10305 |
+
{
|
| 10306 |
+
"epoch": 121.82,
|
| 10307 |
+
"learning_rate": 1.988217967599411e-07,
|
| 10308 |
+
"loss": 0.2426,
|
| 10309 |
+
"step": 1340
|
| 10310 |
+
},
|
| 10311 |
+
{
|
| 10312 |
+
"epoch": 121.82,
|
| 10313 |
+
"eval_accuracy_safe": 0.6888716697314197,
|
| 10314 |
+
"eval_accuracy_unlabeled": NaN,
|
| 10315 |
+
"eval_accuracy_unsafe": 0.9911729328619338,
|
| 10316 |
+
"eval_iou_safe": 0.5344790971875346,
|
| 10317 |
+
"eval_iou_unlabeled": 0.0,
|
| 10318 |
+
"eval_iou_unsafe": 0.9818749624409823,
|
| 10319 |
+
"eval_loss": 0.2236604243516922,
|
| 10320 |
+
"eval_mean_accuracy": 0.8400223012966768,
|
| 10321 |
+
"eval_mean_iou": 0.5054513532095056,
|
| 10322 |
+
"eval_overall_accuracy": 0.9822434382652169,
|
| 10323 |
+
"eval_runtime": 10.8514,
|
| 10324 |
+
"eval_samples_per_second": 6.174,
|
| 10325 |
+
"eval_steps_per_second": 0.461,
|
| 10326 |
+
"step": 1340
|
| 10327 |
+
},
|
| 10328 |
+
{
|
| 10329 |
+
"epoch": 121.91,
|
| 10330 |
+
"learning_rate": 1.9661266568483066e-07,
|
| 10331 |
+
"loss": 0.2387,
|
| 10332 |
+
"step": 1341
|
| 10333 |
+
},
|
| 10334 |
+
{
|
| 10335 |
+
"epoch": 122.0,
|
| 10336 |
+
"learning_rate": 1.944035346097202e-07,
|
| 10337 |
+
"loss": 0.2316,
|
| 10338 |
+
"step": 1342
|
| 10339 |
+
},
|
| 10340 |
+
{
|
| 10341 |
+
"epoch": 122.09,
|
| 10342 |
+
"learning_rate": 1.921944035346097e-07,
|
| 10343 |
+
"loss": 0.2373,
|
| 10344 |
+
"step": 1343
|
| 10345 |
+
},
|
| 10346 |
+
{
|
| 10347 |
+
"epoch": 122.18,
|
| 10348 |
+
"learning_rate": 1.8998527245949925e-07,
|
| 10349 |
+
"loss": 0.2204,
|
| 10350 |
+
"step": 1344
|
| 10351 |
+
},
|
| 10352 |
+
{
|
| 10353 |
+
"epoch": 122.27,
|
| 10354 |
+
"learning_rate": 1.877761413843888e-07,
|
| 10355 |
+
"loss": 0.2458,
|
| 10356 |
+
"step": 1345
|
| 10357 |
+
},
|
| 10358 |
+
{
|
| 10359 |
+
"epoch": 122.36,
|
| 10360 |
+
"learning_rate": 1.8556701030927835e-07,
|
| 10361 |
+
"loss": 0.2472,
|
| 10362 |
+
"step": 1346
|
| 10363 |
+
},
|
| 10364 |
+
{
|
| 10365 |
+
"epoch": 122.45,
|
| 10366 |
+
"learning_rate": 1.833578792341679e-07,
|
| 10367 |
+
"loss": 0.2288,
|
| 10368 |
+
"step": 1347
|
| 10369 |
+
},
|
| 10370 |
+
{
|
| 10371 |
+
"epoch": 122.55,
|
| 10372 |
+
"learning_rate": 1.8114874815905745e-07,
|
| 10373 |
+
"loss": 0.2445,
|
| 10374 |
+
"step": 1348
|
| 10375 |
+
},
|
| 10376 |
+
{
|
| 10377 |
+
"epoch": 122.64,
|
| 10378 |
+
"learning_rate": 1.78939617083947e-07,
|
| 10379 |
+
"loss": 0.2203,
|
| 10380 |
+
"step": 1349
|
| 10381 |
+
},
|
| 10382 |
+
{
|
| 10383 |
+
"epoch": 122.73,
|
| 10384 |
+
"learning_rate": 1.7673048600883652e-07,
|
| 10385 |
+
"loss": 0.2429,
|
| 10386 |
+
"step": 1350
|
| 10387 |
+
},
|
| 10388 |
+
{
|
| 10389 |
+
"epoch": 122.73,
|
| 10390 |
+
"eval_accuracy_safe": 0.6757202169613841,
|
| 10391 |
+
"eval_accuracy_unlabeled": NaN,
|
| 10392 |
+
"eval_accuracy_unsafe": 0.9922011029023085,
|
| 10393 |
+
"eval_iou_safe": 0.538282360817239,
|
| 10394 |
+
"eval_iou_unlabeled": 0.0,
|
| 10395 |
+
"eval_iou_unsafe": 0.9825039976878042,
|
| 10396 |
+
"eval_loss": 0.21055199205875397,
|
| 10397 |
+
"eval_mean_accuracy": 0.8339606599318463,
|
| 10398 |
+
"eval_mean_iou": 0.5069287861683477,
|
| 10399 |
+
"eval_overall_accuracy": 0.9828527649836754,
|
| 10400 |
+
"eval_runtime": 10.4144,
|
| 10401 |
+
"eval_samples_per_second": 6.433,
|
| 10402 |
+
"eval_steps_per_second": 0.48,
|
| 10403 |
+
"step": 1350
|
| 10404 |
+
},
|
| 10405 |
+
{
|
| 10406 |
+
"epoch": 122.82,
|
| 10407 |
+
"learning_rate": 1.7452135493372607e-07,
|
| 10408 |
+
"loss": 0.2418,
|
| 10409 |
+
"step": 1351
|
| 10410 |
+
},
|
| 10411 |
+
{
|
| 10412 |
+
"epoch": 122.91,
|
| 10413 |
+
"learning_rate": 1.723122238586156e-07,
|
| 10414 |
+
"loss": 0.2562,
|
| 10415 |
+
"step": 1352
|
| 10416 |
+
},
|
| 10417 |
+
{
|
| 10418 |
+
"epoch": 123.0,
|
| 10419 |
+
"learning_rate": 1.7010309278350515e-07,
|
| 10420 |
+
"loss": 0.2205,
|
| 10421 |
+
"step": 1353
|
| 10422 |
+
},
|
| 10423 |
+
{
|
| 10424 |
+
"epoch": 123.09,
|
| 10425 |
+
"learning_rate": 1.6789396170839472e-07,
|
| 10426 |
+
"loss": 0.2461,
|
| 10427 |
+
"step": 1354
|
| 10428 |
+
},
|
| 10429 |
+
{
|
| 10430 |
+
"epoch": 123.18,
|
| 10431 |
+
"learning_rate": 1.6568483063328425e-07,
|
| 10432 |
+
"loss": 0.2299,
|
| 10433 |
+
"step": 1355
|
| 10434 |
+
},
|
| 10435 |
+
{
|
| 10436 |
+
"epoch": 123.27,
|
| 10437 |
+
"learning_rate": 1.634756995581738e-07,
|
| 10438 |
+
"loss": 0.2559,
|
| 10439 |
+
"step": 1356
|
| 10440 |
+
},
|
| 10441 |
+
{
|
| 10442 |
+
"epoch": 123.36,
|
| 10443 |
+
"learning_rate": 1.6126656848306335e-07,
|
| 10444 |
+
"loss": 0.2087,
|
| 10445 |
+
"step": 1357
|
| 10446 |
+
},
|
| 10447 |
+
{
|
| 10448 |
+
"epoch": 123.45,
|
| 10449 |
+
"learning_rate": 1.5905743740795287e-07,
|
| 10450 |
+
"loss": 0.2289,
|
| 10451 |
+
"step": 1358
|
| 10452 |
+
},
|
| 10453 |
+
{
|
| 10454 |
+
"epoch": 123.55,
|
| 10455 |
+
"learning_rate": 1.5684830633284242e-07,
|
| 10456 |
+
"loss": 0.2435,
|
| 10457 |
+
"step": 1359
|
| 10458 |
+
},
|
| 10459 |
+
{
|
| 10460 |
+
"epoch": 123.64,
|
| 10461 |
+
"learning_rate": 1.5463917525773194e-07,
|
| 10462 |
+
"loss": 0.244,
|
| 10463 |
+
"step": 1360
|
| 10464 |
+
},
|
| 10465 |
+
{
|
| 10466 |
+
"epoch": 123.64,
|
| 10467 |
+
"eval_accuracy_safe": 0.6876226383090274,
|
| 10468 |
+
"eval_accuracy_unlabeled": NaN,
|
| 10469 |
+
"eval_accuracy_unsafe": 0.9913903006222526,
|
| 10470 |
+
"eval_iou_safe": 0.536401924034036,
|
| 10471 |
+
"eval_iou_unlabeled": 0.0,
|
| 10472 |
+
"eval_iou_unsafe": 0.9820534204301763,
|
| 10473 |
+
"eval_loss": 0.21332333981990814,
|
| 10474 |
+
"eval_mean_accuracy": 0.83950646946564,
|
| 10475 |
+
"eval_mean_iou": 0.5061517814880707,
|
| 10476 |
+
"eval_overall_accuracy": 0.9824174909449336,
|
| 10477 |
+
"eval_runtime": 11.0271,
|
| 10478 |
+
"eval_samples_per_second": 6.076,
|
| 10479 |
+
"eval_steps_per_second": 0.453,
|
| 10480 |
+
"step": 1360
|
| 10481 |
}
|
| 10482 |
],
|
| 10483 |
+
"max_steps": 1430,
|
| 10484 |
+
"num_train_epochs": 130,
|
| 10485 |
+
"total_flos": 7.603035979840487e+18,
|
| 10486 |
"trial_name": null,
|
| 10487 |
"trial_params": null
|
| 10488 |
}
|
{checkpoint-1160 β checkpoint-1360}/training_args.bin
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4155
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5b1cbf5a3113092c4eacc1462cba8f5cbcfaccb43a493a15ea35adc526c09f56
|
| 3 |
size 4155
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 338796489
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a8a53ab604e18fb4a8380495e9ee32684c871e5328aaf09f74aea85764e72082
|
| 3 |
size 338796489
|
runs/Feb08_03-16-09_robovision.csres.utexas.edu/events.out.tfevents.1707383775.robovision.csres.utexas.edu.823337.0
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 sha256:958723080e2fa025bfe474fee934d56cbf2e667c2d665c5150bce6f57866d676
|
| 3 |
+
size 42368
|