Training in progress, step 920
Browse files- {checkpoint-720 → checkpoint-920}/config.json +0 -0
- {checkpoint-720 → checkpoint-920}/optimizer.pt +1 -1
- {checkpoint-720 → checkpoint-920}/pytorch_model.bin +1 -1
- {checkpoint-720 → checkpoint-920}/rng_state.pth +1 -1
- {checkpoint-720 → checkpoint-920}/scheduler.pt +1 -1
- {checkpoint-720 → checkpoint-920}/trainer_state.json +1547 -7
- {checkpoint-720 → checkpoint-920}/training_args.bin +1 -1
- pytorch_model.bin +1 -1
- runs/Feb08_00-07-50_robovision.csres.utexas.edu/events.out.tfevents.1707372476.robovision.csres.utexas.edu.781259.0 +2 -2
{checkpoint-720 → checkpoint-920}/config.json
RENAMED
|
File without changes
|
{checkpoint-720 → checkpoint-920}/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 sha256:5992fa89b18d781da8331a96167f2fa15e5d82e0f61a8cc462ae9debaf6d2343
|
| 3 |
size 677456319
|
{checkpoint-720 → checkpoint-920}/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 sha256:10b07a07a3aebbde2cfd336590363dfc807a4c57bb965a7ecd992f7d79764f4f
|
| 3 |
size 338796489
|
{checkpoint-720 → checkpoint-920}/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 sha256:4c0a6021e60e1583c9a1492f80c6fd14eb83103159d417711d00d3eafd75e258
|
| 3 |
size 14575
|
{checkpoint-720 → checkpoint-920}/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 sha256:81afc903f6270a438ee2304b1910e6b33d4f8479e4d12d0c3eec852339efad24
|
| 3 |
size 627
|
{checkpoint-720 → checkpoint-920}/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,
|
|
@@ -5550,11 +5550,1551 @@
|
|
| 5550 |
"eval_samples_per_second": 6.713,
|
| 5551 |
"eval_steps_per_second": 0.501,
|
| 5552 |
"step": 720
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 5553 |
}
|
| 5554 |
],
|
| 5555 |
-
"max_steps":
|
| 5556 |
-
"num_train_epochs":
|
| 5557 |
-
"total_flos":
|
| 5558 |
"trial_name": null,
|
| 5559 |
"trial_params": null
|
| 5560 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.28693443536758423,
|
| 3 |
+
"best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/safety-utcustom-train-SF-RGB-b5/checkpoint-920",
|
| 4 |
+
"epoch": 83.63636363636364,
|
| 5 |
+
"global_step": 920,
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
|
|
|
| 5550 |
"eval_samples_per_second": 6.713,
|
| 5551 |
"eval_steps_per_second": 0.501,
|
| 5552 |
"step": 720
|
| 5553 |
+
},
|
| 5554 |
+
{
|
| 5555 |
+
"epoch": 65.55,
|
| 5556 |
+
"learning_rate": 2.0109439124487005e-07,
|
| 5557 |
+
"loss": 0.337,
|
| 5558 |
+
"step": 721
|
| 5559 |
+
},
|
| 5560 |
+
{
|
| 5561 |
+
"epoch": 65.64,
|
| 5562 |
+
"learning_rate": 1.969904240766074e-07,
|
| 5563 |
+
"loss": 0.348,
|
| 5564 |
+
"step": 722
|
| 5565 |
+
},
|
| 5566 |
+
{
|
| 5567 |
+
"epoch": 65.73,
|
| 5568 |
+
"learning_rate": 1.9288645690834472e-07,
|
| 5569 |
+
"loss": 0.3375,
|
| 5570 |
+
"step": 723
|
| 5571 |
+
},
|
| 5572 |
+
{
|
| 5573 |
+
"epoch": 65.82,
|
| 5574 |
+
"learning_rate": 1.8878248974008207e-07,
|
| 5575 |
+
"loss": 0.3443,
|
| 5576 |
+
"step": 724
|
| 5577 |
+
},
|
| 5578 |
+
{
|
| 5579 |
+
"epoch": 65.91,
|
| 5580 |
+
"learning_rate": 1.8467852257181942e-07,
|
| 5581 |
+
"loss": 0.3469,
|
| 5582 |
+
"step": 725
|
| 5583 |
+
},
|
| 5584 |
+
{
|
| 5585 |
+
"epoch": 66.0,
|
| 5586 |
+
"learning_rate": 1.8057455540355677e-07,
|
| 5587 |
+
"loss": 0.3453,
|
| 5588 |
+
"step": 726
|
| 5589 |
+
},
|
| 5590 |
+
{
|
| 5591 |
+
"epoch": 66.09,
|
| 5592 |
+
"learning_rate": 1.764705882352941e-07,
|
| 5593 |
+
"loss": 0.3513,
|
| 5594 |
+
"step": 727
|
| 5595 |
+
},
|
| 5596 |
+
{
|
| 5597 |
+
"epoch": 66.18,
|
| 5598 |
+
"learning_rate": 1.7236662106703146e-07,
|
| 5599 |
+
"loss": 0.3488,
|
| 5600 |
+
"step": 728
|
| 5601 |
+
},
|
| 5602 |
+
{
|
| 5603 |
+
"epoch": 66.27,
|
| 5604 |
+
"learning_rate": 1.682626538987688e-07,
|
| 5605 |
+
"loss": 0.3507,
|
| 5606 |
+
"step": 729
|
| 5607 |
+
},
|
| 5608 |
+
{
|
| 5609 |
+
"epoch": 66.36,
|
| 5610 |
+
"learning_rate": 1.6415868673050616e-07,
|
| 5611 |
+
"loss": 0.3225,
|
| 5612 |
+
"step": 730
|
| 5613 |
+
},
|
| 5614 |
+
{
|
| 5615 |
+
"epoch": 66.36,
|
| 5616 |
+
"eval_accuracy_safe": 0.6367342454346745,
|
| 5617 |
+
"eval_accuracy_unlabeled": NaN,
|
| 5618 |
+
"eval_accuracy_unsafe": 0.9862625922228925,
|
| 5619 |
+
"eval_iou_safe": 0.4432164889806017,
|
| 5620 |
+
"eval_iou_unlabeled": 0.0,
|
| 5621 |
+
"eval_iou_unsafe": 0.9754777569208625,
|
| 5622 |
+
"eval_loss": 0.30519598722457886,
|
| 5623 |
+
"eval_mean_accuracy": 0.8114984188287835,
|
| 5624 |
+
"eval_mean_iou": 0.4728980819671547,
|
| 5625 |
+
"eval_overall_accuracy": 0.9759380852998193,
|
| 5626 |
+
"eval_runtime": 10.6181,
|
| 5627 |
+
"eval_samples_per_second": 6.31,
|
| 5628 |
+
"eval_steps_per_second": 0.471,
|
| 5629 |
+
"step": 730
|
| 5630 |
+
},
|
| 5631 |
+
{
|
| 5632 |
+
"epoch": 66.45,
|
| 5633 |
+
"learning_rate": 1.600547195622435e-07,
|
| 5634 |
+
"loss": 0.3436,
|
| 5635 |
+
"step": 731
|
| 5636 |
+
},
|
| 5637 |
+
{
|
| 5638 |
+
"epoch": 66.55,
|
| 5639 |
+
"learning_rate": 1.5595075239398085e-07,
|
| 5640 |
+
"loss": 0.3231,
|
| 5641 |
+
"step": 732
|
| 5642 |
+
},
|
| 5643 |
+
{
|
| 5644 |
+
"epoch": 66.64,
|
| 5645 |
+
"learning_rate": 1.518467852257182e-07,
|
| 5646 |
+
"loss": 0.3333,
|
| 5647 |
+
"step": 733
|
| 5648 |
+
},
|
| 5649 |
+
{
|
| 5650 |
+
"epoch": 66.73,
|
| 5651 |
+
"learning_rate": 1.4774281805745554e-07,
|
| 5652 |
+
"loss": 0.3432,
|
| 5653 |
+
"step": 734
|
| 5654 |
+
},
|
| 5655 |
+
{
|
| 5656 |
+
"epoch": 66.82,
|
| 5657 |
+
"learning_rate": 1.436388508891929e-07,
|
| 5658 |
+
"loss": 0.3159,
|
| 5659 |
+
"step": 735
|
| 5660 |
+
},
|
| 5661 |
+
{
|
| 5662 |
+
"epoch": 66.91,
|
| 5663 |
+
"learning_rate": 1.3953488372093024e-07,
|
| 5664 |
+
"loss": 0.3653,
|
| 5665 |
+
"step": 736
|
| 5666 |
+
},
|
| 5667 |
+
{
|
| 5668 |
+
"epoch": 67.0,
|
| 5669 |
+
"learning_rate": 1.354309165526676e-07,
|
| 5670 |
+
"loss": 0.3593,
|
| 5671 |
+
"step": 737
|
| 5672 |
+
},
|
| 5673 |
+
{
|
| 5674 |
+
"epoch": 67.09,
|
| 5675 |
+
"learning_rate": 1.3132694938440493e-07,
|
| 5676 |
+
"loss": 0.3153,
|
| 5677 |
+
"step": 738
|
| 5678 |
+
},
|
| 5679 |
+
{
|
| 5680 |
+
"epoch": 67.18,
|
| 5681 |
+
"learning_rate": 1.2722298221614228e-07,
|
| 5682 |
+
"loss": 0.3259,
|
| 5683 |
+
"step": 739
|
| 5684 |
+
},
|
| 5685 |
+
{
|
| 5686 |
+
"epoch": 67.27,
|
| 5687 |
+
"learning_rate": 1.2311901504787963e-07,
|
| 5688 |
+
"loss": 0.3792,
|
| 5689 |
+
"step": 740
|
| 5690 |
+
},
|
| 5691 |
+
{
|
| 5692 |
+
"epoch": 67.27,
|
| 5693 |
+
"eval_accuracy_safe": 0.6381124205380858,
|
| 5694 |
+
"eval_accuracy_unlabeled": NaN,
|
| 5695 |
+
"eval_accuracy_unsafe": 0.986087524639413,
|
| 5696 |
+
"eval_iou_safe": 0.44292960173610785,
|
| 5697 |
+
"eval_iou_unlabeled": 0.0,
|
| 5698 |
+
"eval_iou_unsafe": 0.9753461456304894,
|
| 5699 |
+
"eval_loss": 0.3036666810512543,
|
| 5700 |
+
"eval_mean_accuracy": 0.8120999725887494,
|
| 5701 |
+
"eval_mean_iou": 0.47275858245553243,
|
| 5702 |
+
"eval_overall_accuracy": 0.9758088980148087,
|
| 5703 |
+
"eval_runtime": 9.8604,
|
| 5704 |
+
"eval_samples_per_second": 6.795,
|
| 5705 |
+
"eval_steps_per_second": 0.507,
|
| 5706 |
+
"step": 740
|
| 5707 |
+
},
|
| 5708 |
+
{
|
| 5709 |
+
"epoch": 67.36,
|
| 5710 |
+
"learning_rate": 1.1901504787961696e-07,
|
| 5711 |
+
"loss": 0.3021,
|
| 5712 |
+
"step": 741
|
| 5713 |
+
},
|
| 5714 |
+
{
|
| 5715 |
+
"epoch": 67.45,
|
| 5716 |
+
"learning_rate": 1.1491108071135431e-07,
|
| 5717 |
+
"loss": 0.353,
|
| 5718 |
+
"step": 742
|
| 5719 |
+
},
|
| 5720 |
+
{
|
| 5721 |
+
"epoch": 67.55,
|
| 5722 |
+
"learning_rate": 1.1080711354309166e-07,
|
| 5723 |
+
"loss": 0.3839,
|
| 5724 |
+
"step": 743
|
| 5725 |
+
},
|
| 5726 |
+
{
|
| 5727 |
+
"epoch": 67.64,
|
| 5728 |
+
"learning_rate": 1.06703146374829e-07,
|
| 5729 |
+
"loss": 0.3346,
|
| 5730 |
+
"step": 744
|
| 5731 |
+
},
|
| 5732 |
+
{
|
| 5733 |
+
"epoch": 67.73,
|
| 5734 |
+
"learning_rate": 1.0259917920656635e-07,
|
| 5735 |
+
"loss": 0.3334,
|
| 5736 |
+
"step": 745
|
| 5737 |
+
},
|
| 5738 |
+
{
|
| 5739 |
+
"epoch": 67.82,
|
| 5740 |
+
"learning_rate": 9.84952120383037e-08,
|
| 5741 |
+
"loss": 0.3281,
|
| 5742 |
+
"step": 746
|
| 5743 |
+
},
|
| 5744 |
+
{
|
| 5745 |
+
"epoch": 67.91,
|
| 5746 |
+
"learning_rate": 9.439124487004104e-08,
|
| 5747 |
+
"loss": 0.327,
|
| 5748 |
+
"step": 747
|
| 5749 |
+
},
|
| 5750 |
+
{
|
| 5751 |
+
"epoch": 68.0,
|
| 5752 |
+
"learning_rate": 9.028727770177838e-08,
|
| 5753 |
+
"loss": 0.3521,
|
| 5754 |
+
"step": 748
|
| 5755 |
+
},
|
| 5756 |
+
{
|
| 5757 |
+
"epoch": 68.09,
|
| 5758 |
+
"learning_rate": 8.618331053351573e-08,
|
| 5759 |
+
"loss": 0.3113,
|
| 5760 |
+
"step": 749
|
| 5761 |
+
},
|
| 5762 |
+
{
|
| 5763 |
+
"epoch": 68.18,
|
| 5764 |
+
"learning_rate": 8.207934336525308e-08,
|
| 5765 |
+
"loss": 0.3177,
|
| 5766 |
+
"step": 750
|
| 5767 |
+
},
|
| 5768 |
+
{
|
| 5769 |
+
"epoch": 68.18,
|
| 5770 |
+
"eval_accuracy_safe": 0.6345195276810807,
|
| 5771 |
+
"eval_accuracy_unlabeled": NaN,
|
| 5772 |
+
"eval_accuracy_unsafe": 0.9864928084419184,
|
| 5773 |
+
"eval_iou_safe": 0.444597209973218,
|
| 5774 |
+
"eval_iou_unlabeled": 0.0,
|
| 5775 |
+
"eval_iou_unsafe": 0.9756419916569254,
|
| 5776 |
+
"eval_loss": 0.2988866865634918,
|
| 5777 |
+
"eval_mean_accuracy": 0.8105061680614996,
|
| 5778 |
+
"eval_mean_iou": 0.47341306721004783,
|
| 5779 |
+
"eval_overall_accuracy": 0.9760960820895522,
|
| 5780 |
+
"eval_runtime": 10.085,
|
| 5781 |
+
"eval_samples_per_second": 6.644,
|
| 5782 |
+
"eval_steps_per_second": 0.496,
|
| 5783 |
+
"step": 750
|
| 5784 |
+
},
|
| 5785 |
+
{
|
| 5786 |
+
"epoch": 68.27,
|
| 5787 |
+
"learning_rate": 7.797537619699043e-08,
|
| 5788 |
+
"loss": 0.3472,
|
| 5789 |
+
"step": 751
|
| 5790 |
+
},
|
| 5791 |
+
{
|
| 5792 |
+
"epoch": 68.36,
|
| 5793 |
+
"learning_rate": 7.387140902872777e-08,
|
| 5794 |
+
"loss": 0.3095,
|
| 5795 |
+
"step": 752
|
| 5796 |
+
},
|
| 5797 |
+
{
|
| 5798 |
+
"epoch": 68.45,
|
| 5799 |
+
"learning_rate": 6.976744186046512e-08,
|
| 5800 |
+
"loss": 0.3655,
|
| 5801 |
+
"step": 753
|
| 5802 |
+
},
|
| 5803 |
+
{
|
| 5804 |
+
"epoch": 68.55,
|
| 5805 |
+
"learning_rate": 6.566347469220247e-08,
|
| 5806 |
+
"loss": 0.3232,
|
| 5807 |
+
"step": 754
|
| 5808 |
+
},
|
| 5809 |
+
{
|
| 5810 |
+
"epoch": 68.64,
|
| 5811 |
+
"learning_rate": 6.155950752393981e-08,
|
| 5812 |
+
"loss": 0.3631,
|
| 5813 |
+
"step": 755
|
| 5814 |
+
},
|
| 5815 |
+
{
|
| 5816 |
+
"epoch": 68.73,
|
| 5817 |
+
"learning_rate": 5.7455540355677156e-08,
|
| 5818 |
+
"loss": 0.3515,
|
| 5819 |
+
"step": 756
|
| 5820 |
+
},
|
| 5821 |
+
{
|
| 5822 |
+
"epoch": 68.82,
|
| 5823 |
+
"learning_rate": 5.33515731874145e-08,
|
| 5824 |
+
"loss": 0.3406,
|
| 5825 |
+
"step": 757
|
| 5826 |
+
},
|
| 5827 |
+
{
|
| 5828 |
+
"epoch": 68.91,
|
| 5829 |
+
"learning_rate": 4.924760601915185e-08,
|
| 5830 |
+
"loss": 0.3381,
|
| 5831 |
+
"step": 758
|
| 5832 |
+
},
|
| 5833 |
+
{
|
| 5834 |
+
"epoch": 69.0,
|
| 5835 |
+
"learning_rate": 4.514363885088919e-08,
|
| 5836 |
+
"loss": 0.3706,
|
| 5837 |
+
"step": 759
|
| 5838 |
+
},
|
| 5839 |
+
{
|
| 5840 |
+
"epoch": 69.09,
|
| 5841 |
+
"learning_rate": 4.103967168262654e-08,
|
| 5842 |
+
"loss": 0.3295,
|
| 5843 |
+
"step": 760
|
| 5844 |
+
},
|
| 5845 |
+
{
|
| 5846 |
+
"epoch": 69.09,
|
| 5847 |
+
"eval_accuracy_safe": 0.6403599060913412,
|
| 5848 |
+
"eval_accuracy_unlabeled": NaN,
|
| 5849 |
+
"eval_accuracy_unsafe": 0.9858564283889687,
|
| 5850 |
+
"eval_iou_safe": 0.44260650493805614,
|
| 5851 |
+
"eval_iou_unlabeled": 0.0,
|
| 5852 |
+
"eval_iou_unsafe": 0.975184116097936,
|
| 5853 |
+
"eval_loss": 0.3063713610172272,
|
| 5854 |
+
"eval_mean_accuracy": 0.813108167240155,
|
| 5855 |
+
"eval_mean_iou": 0.47259687367866404,
|
| 5856 |
+
"eval_overall_accuracy": 0.975651015096636,
|
| 5857 |
+
"eval_runtime": 9.6213,
|
| 5858 |
+
"eval_samples_per_second": 6.964,
|
| 5859 |
+
"eval_steps_per_second": 0.52,
|
| 5860 |
+
"step": 760
|
| 5861 |
+
},
|
| 5862 |
+
{
|
| 5863 |
+
"epoch": 69.18,
|
| 5864 |
+
"learning_rate": 5.878378378378378e-07,
|
| 5865 |
+
"loss": 0.3508,
|
| 5866 |
+
"step": 761
|
| 5867 |
+
},
|
| 5868 |
+
{
|
| 5869 |
+
"epoch": 69.27,
|
| 5870 |
+
"learning_rate": 5.844594594594596e-07,
|
| 5871 |
+
"loss": 0.3553,
|
| 5872 |
+
"step": 762
|
| 5873 |
+
},
|
| 5874 |
+
{
|
| 5875 |
+
"epoch": 69.36,
|
| 5876 |
+
"learning_rate": 5.810810810810811e-07,
|
| 5877 |
+
"loss": 0.3406,
|
| 5878 |
+
"step": 763
|
| 5879 |
+
},
|
| 5880 |
+
{
|
| 5881 |
+
"epoch": 69.45,
|
| 5882 |
+
"learning_rate": 5.777027027027027e-07,
|
| 5883 |
+
"loss": 0.3433,
|
| 5884 |
+
"step": 764
|
| 5885 |
+
},
|
| 5886 |
+
{
|
| 5887 |
+
"epoch": 69.55,
|
| 5888 |
+
"learning_rate": 5.743243243243243e-07,
|
| 5889 |
+
"loss": 0.3606,
|
| 5890 |
+
"step": 765
|
| 5891 |
+
},
|
| 5892 |
+
{
|
| 5893 |
+
"epoch": 69.64,
|
| 5894 |
+
"learning_rate": 5.70945945945946e-07,
|
| 5895 |
+
"loss": 0.323,
|
| 5896 |
+
"step": 766
|
| 5897 |
+
},
|
| 5898 |
+
{
|
| 5899 |
+
"epoch": 69.73,
|
| 5900 |
+
"learning_rate": 5.675675675675676e-07,
|
| 5901 |
+
"loss": 0.3178,
|
| 5902 |
+
"step": 767
|
| 5903 |
+
},
|
| 5904 |
+
{
|
| 5905 |
+
"epoch": 69.82,
|
| 5906 |
+
"learning_rate": 5.641891891891891e-07,
|
| 5907 |
+
"loss": 0.3124,
|
| 5908 |
+
"step": 768
|
| 5909 |
+
},
|
| 5910 |
+
{
|
| 5911 |
+
"epoch": 69.91,
|
| 5912 |
+
"learning_rate": 5.608108108108109e-07,
|
| 5913 |
+
"loss": 0.3003,
|
| 5914 |
+
"step": 769
|
| 5915 |
+
},
|
| 5916 |
+
{
|
| 5917 |
+
"epoch": 70.0,
|
| 5918 |
+
"learning_rate": 5.574324324324324e-07,
|
| 5919 |
+
"loss": 0.3847,
|
| 5920 |
+
"step": 770
|
| 5921 |
+
},
|
| 5922 |
+
{
|
| 5923 |
+
"epoch": 70.0,
|
| 5924 |
+
"eval_accuracy_safe": 0.6429312146059576,
|
| 5925 |
+
"eval_accuracy_unlabeled": NaN,
|
| 5926 |
+
"eval_accuracy_unsafe": 0.9856813608054892,
|
| 5927 |
+
"eval_iou_safe": 0.44386336810476407,
|
| 5928 |
+
"eval_iou_unlabeled": 0.0,
|
| 5929 |
+
"eval_iou_unsafe": 0.9750875071024252,
|
| 5930 |
+
"eval_loss": 0.30536746978759766,
|
| 5931 |
+
"eval_mean_accuracy": 0.8143062877057234,
|
| 5932 |
+
"eval_mean_iou": 0.4729836250690631,
|
| 5933 |
+
"eval_overall_accuracy": 0.9755570710594974,
|
| 5934 |
+
"eval_runtime": 8.333,
|
| 5935 |
+
"eval_samples_per_second": 8.04,
|
| 5936 |
+
"eval_steps_per_second": 0.6,
|
| 5937 |
+
"step": 770
|
| 5938 |
+
},
|
| 5939 |
+
{
|
| 5940 |
+
"epoch": 70.09,
|
| 5941 |
+
"learning_rate": 5.54054054054054e-07,
|
| 5942 |
+
"loss": 0.3266,
|
| 5943 |
+
"step": 771
|
| 5944 |
+
},
|
| 5945 |
+
{
|
| 5946 |
+
"epoch": 70.18,
|
| 5947 |
+
"learning_rate": 5.506756756756757e-07,
|
| 5948 |
+
"loss": 0.328,
|
| 5949 |
+
"step": 772
|
| 5950 |
+
},
|
| 5951 |
+
{
|
| 5952 |
+
"epoch": 70.27,
|
| 5953 |
+
"learning_rate": 5.472972972972973e-07,
|
| 5954 |
+
"loss": 0.3455,
|
| 5955 |
+
"step": 773
|
| 5956 |
+
},
|
| 5957 |
+
{
|
| 5958 |
+
"epoch": 70.36,
|
| 5959 |
+
"learning_rate": 5.43918918918919e-07,
|
| 5960 |
+
"loss": 0.3372,
|
| 5961 |
+
"step": 774
|
| 5962 |
+
},
|
| 5963 |
+
{
|
| 5964 |
+
"epoch": 70.45,
|
| 5965 |
+
"learning_rate": 5.405405405405405e-07,
|
| 5966 |
+
"loss": 0.3266,
|
| 5967 |
+
"step": 775
|
| 5968 |
+
},
|
| 5969 |
+
{
|
| 5970 |
+
"epoch": 70.55,
|
| 5971 |
+
"learning_rate": 5.371621621621622e-07,
|
| 5972 |
+
"loss": 0.362,
|
| 5973 |
+
"step": 776
|
| 5974 |
+
},
|
| 5975 |
+
{
|
| 5976 |
+
"epoch": 70.64,
|
| 5977 |
+
"learning_rate": 5.337837837837837e-07,
|
| 5978 |
+
"loss": 0.3509,
|
| 5979 |
+
"step": 777
|
| 5980 |
+
},
|
| 5981 |
+
{
|
| 5982 |
+
"epoch": 70.73,
|
| 5983 |
+
"learning_rate": 5.304054054054054e-07,
|
| 5984 |
+
"loss": 0.2946,
|
| 5985 |
+
"step": 778
|
| 5986 |
+
},
|
| 5987 |
+
{
|
| 5988 |
+
"epoch": 70.82,
|
| 5989 |
+
"learning_rate": 5.270270270270271e-07,
|
| 5990 |
+
"loss": 0.3261,
|
| 5991 |
+
"step": 779
|
| 5992 |
+
},
|
| 5993 |
+
{
|
| 5994 |
+
"epoch": 70.91,
|
| 5995 |
+
"learning_rate": 5.236486486486486e-07,
|
| 5996 |
+
"loss": 0.3406,
|
| 5997 |
+
"step": 780
|
| 5998 |
+
},
|
| 5999 |
+
{
|
| 6000 |
+
"epoch": 70.91,
|
| 6001 |
+
"eval_accuracy_safe": 0.6442862594978431,
|
| 6002 |
+
"eval_accuracy_unlabeled": NaN,
|
| 6003 |
+
"eval_accuracy_unsafe": 0.9861615646160722,
|
| 6004 |
+
"eval_iou_safe": 0.4475671202721901,
|
| 6005 |
+
"eval_iou_unlabeled": 0.0,
|
| 6006 |
+
"eval_iou_unsafe": 0.9756000336170195,
|
| 6007 |
+
"eval_loss": 0.30749550461769104,
|
| 6008 |
+
"eval_mean_accuracy": 0.8152239120569577,
|
| 6009 |
+
"eval_mean_iou": 0.47438905129640324,
|
| 6010 |
+
"eval_overall_accuracy": 0.9760631162728837,
|
| 6011 |
+
"eval_runtime": 9.0467,
|
| 6012 |
+
"eval_samples_per_second": 7.406,
|
| 6013 |
+
"eval_steps_per_second": 0.553,
|
| 6014 |
+
"step": 780
|
| 6015 |
+
},
|
| 6016 |
+
{
|
| 6017 |
+
"epoch": 71.0,
|
| 6018 |
+
"learning_rate": 5.202702702702703e-07,
|
| 6019 |
+
"loss": 0.2752,
|
| 6020 |
+
"step": 781
|
| 6021 |
+
},
|
| 6022 |
+
{
|
| 6023 |
+
"epoch": 71.09,
|
| 6024 |
+
"learning_rate": 5.168918918918919e-07,
|
| 6025 |
+
"loss": 0.3096,
|
| 6026 |
+
"step": 782
|
| 6027 |
+
},
|
| 6028 |
+
{
|
| 6029 |
+
"epoch": 71.18,
|
| 6030 |
+
"learning_rate": 5.135135135135135e-07,
|
| 6031 |
+
"loss": 0.3476,
|
| 6032 |
+
"step": 783
|
| 6033 |
+
},
|
| 6034 |
+
{
|
| 6035 |
+
"epoch": 71.27,
|
| 6036 |
+
"learning_rate": 5.101351351351352e-07,
|
| 6037 |
+
"loss": 0.3235,
|
| 6038 |
+
"step": 784
|
| 6039 |
+
},
|
| 6040 |
+
{
|
| 6041 |
+
"epoch": 71.36,
|
| 6042 |
+
"learning_rate": 5.067567567567567e-07,
|
| 6043 |
+
"loss": 0.3134,
|
| 6044 |
+
"step": 785
|
| 6045 |
+
},
|
| 6046 |
+
{
|
| 6047 |
+
"epoch": 71.45,
|
| 6048 |
+
"learning_rate": 5.033783783783784e-07,
|
| 6049 |
+
"loss": 0.3702,
|
| 6050 |
+
"step": 786
|
| 6051 |
+
},
|
| 6052 |
+
{
|
| 6053 |
+
"epoch": 71.55,
|
| 6054 |
+
"learning_rate": 5e-07,
|
| 6055 |
+
"loss": 0.3547,
|
| 6056 |
+
"step": 787
|
| 6057 |
+
},
|
| 6058 |
+
{
|
| 6059 |
+
"epoch": 71.64,
|
| 6060 |
+
"learning_rate": 4.966216216216216e-07,
|
| 6061 |
+
"loss": 0.2856,
|
| 6062 |
+
"step": 788
|
| 6063 |
+
},
|
| 6064 |
+
{
|
| 6065 |
+
"epoch": 71.73,
|
| 6066 |
+
"learning_rate": 4.932432432432432e-07,
|
| 6067 |
+
"loss": 0.3265,
|
| 6068 |
+
"step": 789
|
| 6069 |
+
},
|
| 6070 |
+
{
|
| 6071 |
+
"epoch": 71.82,
|
| 6072 |
+
"learning_rate": 4.898648648648649e-07,
|
| 6073 |
+
"loss": 0.3847,
|
| 6074 |
+
"step": 790
|
| 6075 |
+
},
|
| 6076 |
+
{
|
| 6077 |
+
"epoch": 71.82,
|
| 6078 |
+
"eval_accuracy_safe": 0.6342573852837884,
|
| 6079 |
+
"eval_accuracy_unlabeled": NaN,
|
| 6080 |
+
"eval_accuracy_unsafe": 0.9877470878880337,
|
| 6081 |
+
"eval_iou_safe": 0.45462382943213125,
|
| 6082 |
+
"eval_iou_unlabeled": 0.0,
|
| 6083 |
+
"eval_iou_unsafe": 0.9768733490672094,
|
| 6084 |
+
"eval_loss": 0.29106298089027405,
|
| 6085 |
+
"eval_mean_accuracy": 0.8110022365859111,
|
| 6086 |
+
"eval_mean_iou": 0.47716572616644687,
|
| 6087 |
+
"eval_overall_accuracy": 0.9773055688658757,
|
| 6088 |
+
"eval_runtime": 9.0041,
|
| 6089 |
+
"eval_samples_per_second": 7.441,
|
| 6090 |
+
"eval_steps_per_second": 0.555,
|
| 6091 |
+
"step": 790
|
| 6092 |
+
},
|
| 6093 |
+
{
|
| 6094 |
+
"epoch": 71.91,
|
| 6095 |
+
"learning_rate": 4.864864864864865e-07,
|
| 6096 |
+
"loss": 0.3186,
|
| 6097 |
+
"step": 791
|
| 6098 |
+
},
|
| 6099 |
+
{
|
| 6100 |
+
"epoch": 72.0,
|
| 6101 |
+
"learning_rate": 4.831081081081081e-07,
|
| 6102 |
+
"loss": 0.369,
|
| 6103 |
+
"step": 792
|
| 6104 |
+
},
|
| 6105 |
+
{
|
| 6106 |
+
"epoch": 72.09,
|
| 6107 |
+
"learning_rate": 4.797297297297298e-07,
|
| 6108 |
+
"loss": 0.3192,
|
| 6109 |
+
"step": 793
|
| 6110 |
+
},
|
| 6111 |
+
{
|
| 6112 |
+
"epoch": 72.18,
|
| 6113 |
+
"learning_rate": 4.763513513513513e-07,
|
| 6114 |
+
"loss": 0.315,
|
| 6115 |
+
"step": 794
|
| 6116 |
+
},
|
| 6117 |
+
{
|
| 6118 |
+
"epoch": 72.27,
|
| 6119 |
+
"learning_rate": 4.72972972972973e-07,
|
| 6120 |
+
"loss": 0.3422,
|
| 6121 |
+
"step": 795
|
| 6122 |
+
},
|
| 6123 |
+
{
|
| 6124 |
+
"epoch": 72.36,
|
| 6125 |
+
"learning_rate": 4.6959459459459463e-07,
|
| 6126 |
+
"loss": 0.3231,
|
| 6127 |
+
"step": 796
|
| 6128 |
+
},
|
| 6129 |
+
{
|
| 6130 |
+
"epoch": 72.45,
|
| 6131 |
+
"learning_rate": 4.662162162162162e-07,
|
| 6132 |
+
"loss": 0.3281,
|
| 6133 |
+
"step": 797
|
| 6134 |
+
},
|
| 6135 |
+
{
|
| 6136 |
+
"epoch": 72.55,
|
| 6137 |
+
"learning_rate": 4.6283783783783784e-07,
|
| 6138 |
+
"loss": 0.3152,
|
| 6139 |
+
"step": 798
|
| 6140 |
+
},
|
| 6141 |
+
{
|
| 6142 |
+
"epoch": 72.64,
|
| 6143 |
+
"learning_rate": 4.594594594594594e-07,
|
| 6144 |
+
"loss": 0.3132,
|
| 6145 |
+
"step": 799
|
| 6146 |
+
},
|
| 6147 |
+
{
|
| 6148 |
+
"epoch": 72.73,
|
| 6149 |
+
"learning_rate": 4.560810810810811e-07,
|
| 6150 |
+
"loss": 0.3292,
|
| 6151 |
+
"step": 800
|
| 6152 |
+
},
|
| 6153 |
+
{
|
| 6154 |
+
"epoch": 72.73,
|
| 6155 |
+
"eval_accuracy_safe": 0.6328483698983427,
|
| 6156 |
+
"eval_accuracy_unlabeled": NaN,
|
| 6157 |
+
"eval_accuracy_unsafe": 0.9880534561591228,
|
| 6158 |
+
"eval_iou_safe": 0.45670444681845496,
|
| 6159 |
+
"eval_iou_unlabeled": 0.0,
|
| 6160 |
+
"eval_iou_unsafe": 0.9771349564164951,
|
| 6161 |
+
"eval_loss": 0.29046520590782166,
|
| 6162 |
+
"eval_mean_accuracy": 0.8104509130287327,
|
| 6163 |
+
"eval_mean_iou": 0.47794646774498334,
|
| 6164 |
+
"eval_overall_accuracy": 0.9775612674542328,
|
| 6165 |
+
"eval_runtime": 9.9385,
|
| 6166 |
+
"eval_samples_per_second": 6.741,
|
| 6167 |
+
"eval_steps_per_second": 0.503,
|
| 6168 |
+
"step": 800
|
| 6169 |
+
},
|
| 6170 |
+
{
|
| 6171 |
+
"epoch": 72.82,
|
| 6172 |
+
"learning_rate": 4.5270270270270275e-07,
|
| 6173 |
+
"loss": 0.3247,
|
| 6174 |
+
"step": 801
|
| 6175 |
+
},
|
| 6176 |
+
{
|
| 6177 |
+
"epoch": 72.91,
|
| 6178 |
+
"learning_rate": 4.4932432432432433e-07,
|
| 6179 |
+
"loss": 0.3317,
|
| 6180 |
+
"step": 802
|
| 6181 |
+
},
|
| 6182 |
+
{
|
| 6183 |
+
"epoch": 73.0,
|
| 6184 |
+
"learning_rate": 4.4594594594594596e-07,
|
| 6185 |
+
"loss": 0.3452,
|
| 6186 |
+
"step": 803
|
| 6187 |
+
},
|
| 6188 |
+
{
|
| 6189 |
+
"epoch": 73.09,
|
| 6190 |
+
"learning_rate": 4.4256756756756754e-07,
|
| 6191 |
+
"loss": 0.34,
|
| 6192 |
+
"step": 804
|
| 6193 |
+
},
|
| 6194 |
+
{
|
| 6195 |
+
"epoch": 73.18,
|
| 6196 |
+
"learning_rate": 4.3918918918918923e-07,
|
| 6197 |
+
"loss": 0.3101,
|
| 6198 |
+
"step": 805
|
| 6199 |
+
},
|
| 6200 |
+
{
|
| 6201 |
+
"epoch": 73.27,
|
| 6202 |
+
"learning_rate": 4.3581081081081076e-07,
|
| 6203 |
+
"loss": 0.3173,
|
| 6204 |
+
"step": 806
|
| 6205 |
+
},
|
| 6206 |
+
{
|
| 6207 |
+
"epoch": 73.36,
|
| 6208 |
+
"learning_rate": 4.3243243243243244e-07,
|
| 6209 |
+
"loss": 0.3542,
|
| 6210 |
+
"step": 807
|
| 6211 |
+
},
|
| 6212 |
+
{
|
| 6213 |
+
"epoch": 73.45,
|
| 6214 |
+
"learning_rate": 4.290540540540541e-07,
|
| 6215 |
+
"loss": 0.3141,
|
| 6216 |
+
"step": 808
|
| 6217 |
+
},
|
| 6218 |
+
{
|
| 6219 |
+
"epoch": 73.55,
|
| 6220 |
+
"learning_rate": 4.2567567567567566e-07,
|
| 6221 |
+
"loss": 0.3388,
|
| 6222 |
+
"step": 809
|
| 6223 |
+
},
|
| 6224 |
+
{
|
| 6225 |
+
"epoch": 73.64,
|
| 6226 |
+
"learning_rate": 4.2229729729729735e-07,
|
| 6227 |
+
"loss": 0.3156,
|
| 6228 |
+
"step": 810
|
| 6229 |
+
},
|
| 6230 |
+
{
|
| 6231 |
+
"epoch": 73.64,
|
| 6232 |
+
"eval_accuracy_safe": 0.6318094378973096,
|
| 6233 |
+
"eval_accuracy_unlabeled": NaN,
|
| 6234 |
+
"eval_accuracy_unsafe": 0.9882225395289579,
|
| 6235 |
+
"eval_iou_safe": 0.4578583531101107,
|
| 6236 |
+
"eval_iou_unlabeled": 0.0,
|
| 6237 |
+
"eval_iou_unsafe": 0.977271212196021,
|
| 6238 |
+
"eval_loss": 0.28654035925865173,
|
| 6239 |
+
"eval_mean_accuracy": 0.8100159887131337,
|
| 6240 |
+
"eval_mean_iou": 0.47837652176871054,
|
| 6241 |
+
"eval_overall_accuracy": 0.9776946679869695,
|
| 6242 |
+
"eval_runtime": 9.2746,
|
| 6243 |
+
"eval_samples_per_second": 7.224,
|
| 6244 |
+
"eval_steps_per_second": 0.539,
|
| 6245 |
+
"step": 810
|
| 6246 |
+
},
|
| 6247 |
+
{
|
| 6248 |
+
"epoch": 73.73,
|
| 6249 |
+
"learning_rate": 4.189189189189189e-07,
|
| 6250 |
+
"loss": 0.3512,
|
| 6251 |
+
"step": 811
|
| 6252 |
+
},
|
| 6253 |
+
{
|
| 6254 |
+
"epoch": 73.82,
|
| 6255 |
+
"learning_rate": 4.1554054054054056e-07,
|
| 6256 |
+
"loss": 0.2992,
|
| 6257 |
+
"step": 812
|
| 6258 |
+
},
|
| 6259 |
+
{
|
| 6260 |
+
"epoch": 73.91,
|
| 6261 |
+
"learning_rate": 4.121621621621622e-07,
|
| 6262 |
+
"loss": 0.34,
|
| 6263 |
+
"step": 813
|
| 6264 |
+
},
|
| 6265 |
+
{
|
| 6266 |
+
"epoch": 74.0,
|
| 6267 |
+
"learning_rate": 4.087837837837838e-07,
|
| 6268 |
+
"loss": 0.3609,
|
| 6269 |
+
"step": 814
|
| 6270 |
+
},
|
| 6271 |
+
{
|
| 6272 |
+
"epoch": 74.09,
|
| 6273 |
+
"learning_rate": 4.0540540540540546e-07,
|
| 6274 |
+
"loss": 0.2993,
|
| 6275 |
+
"step": 815
|
| 6276 |
+
},
|
| 6277 |
+
{
|
| 6278 |
+
"epoch": 74.18,
|
| 6279 |
+
"learning_rate": 4.02027027027027e-07,
|
| 6280 |
+
"loss": 0.3078,
|
| 6281 |
+
"step": 816
|
| 6282 |
+
},
|
| 6283 |
+
{
|
| 6284 |
+
"epoch": 74.27,
|
| 6285 |
+
"learning_rate": 3.986486486486487e-07,
|
| 6286 |
+
"loss": 0.3215,
|
| 6287 |
+
"step": 817
|
| 6288 |
+
},
|
| 6289 |
+
{
|
| 6290 |
+
"epoch": 74.36,
|
| 6291 |
+
"learning_rate": 3.9527027027027026e-07,
|
| 6292 |
+
"loss": 0.2968,
|
| 6293 |
+
"step": 818
|
| 6294 |
+
},
|
| 6295 |
+
{
|
| 6296 |
+
"epoch": 74.45,
|
| 6297 |
+
"learning_rate": 3.918918918918919e-07,
|
| 6298 |
+
"loss": 0.3119,
|
| 6299 |
+
"step": 819
|
| 6300 |
+
},
|
| 6301 |
+
{
|
| 6302 |
+
"epoch": 74.55,
|
| 6303 |
+
"learning_rate": 3.8851351351351353e-07,
|
| 6304 |
+
"loss": 0.3106,
|
| 6305 |
+
"step": 820
|
| 6306 |
+
},
|
| 6307 |
+
{
|
| 6308 |
+
"epoch": 74.55,
|
| 6309 |
+
"eval_accuracy_safe": 0.6333418144108928,
|
| 6310 |
+
"eval_accuracy_unlabeled": NaN,
|
| 6311 |
+
"eval_accuracy_unsafe": 0.9883734942515761,
|
| 6312 |
+
"eval_iou_safe": 0.460039398466344,
|
| 6313 |
+
"eval_iou_unlabeled": 0.0,
|
| 6314 |
+
"eval_iou_unsafe": 0.9774654093148158,
|
| 6315 |
+
"eval_loss": 0.2812236547470093,
|
| 6316 |
+
"eval_mean_accuracy": 0.8108576543312345,
|
| 6317 |
+
"eval_mean_iou": 0.47916826926038664,
|
| 6318 |
+
"eval_overall_accuracy": 0.9778864276942922,
|
| 6319 |
+
"eval_runtime": 9.2069,
|
| 6320 |
+
"eval_samples_per_second": 7.277,
|
| 6321 |
+
"eval_steps_per_second": 0.543,
|
| 6322 |
+
"step": 820
|
| 6323 |
+
},
|
| 6324 |
+
{
|
| 6325 |
+
"epoch": 74.64,
|
| 6326 |
+
"learning_rate": 3.851351351351351e-07,
|
| 6327 |
+
"loss": 0.327,
|
| 6328 |
+
"step": 821
|
| 6329 |
+
},
|
| 6330 |
+
{
|
| 6331 |
+
"epoch": 74.73,
|
| 6332 |
+
"learning_rate": 3.817567567567568e-07,
|
| 6333 |
+
"loss": 0.3093,
|
| 6334 |
+
"step": 822
|
| 6335 |
+
},
|
| 6336 |
+
{
|
| 6337 |
+
"epoch": 74.82,
|
| 6338 |
+
"learning_rate": 3.783783783783784e-07,
|
| 6339 |
+
"loss": 0.326,
|
| 6340 |
+
"step": 823
|
| 6341 |
+
},
|
| 6342 |
+
{
|
| 6343 |
+
"epoch": 74.91,
|
| 6344 |
+
"learning_rate": 3.75e-07,
|
| 6345 |
+
"loss": 0.3625,
|
| 6346 |
+
"step": 824
|
| 6347 |
+
},
|
| 6348 |
+
{
|
| 6349 |
+
"epoch": 75.0,
|
| 6350 |
+
"learning_rate": 3.7162162162162164e-07,
|
| 6351 |
+
"loss": 0.3852,
|
| 6352 |
+
"step": 825
|
| 6353 |
+
},
|
| 6354 |
+
{
|
| 6355 |
+
"epoch": 75.09,
|
| 6356 |
+
"learning_rate": 3.682432432432432e-07,
|
| 6357 |
+
"loss": 0.3337,
|
| 6358 |
+
"step": 826
|
| 6359 |
+
},
|
| 6360 |
+
{
|
| 6361 |
+
"epoch": 75.18,
|
| 6362 |
+
"learning_rate": 3.648648648648649e-07,
|
| 6363 |
+
"loss": 0.3197,
|
| 6364 |
+
"step": 827
|
| 6365 |
+
},
|
| 6366 |
+
{
|
| 6367 |
+
"epoch": 75.27,
|
| 6368 |
+
"learning_rate": 3.614864864864865e-07,
|
| 6369 |
+
"loss": 0.3149,
|
| 6370 |
+
"step": 828
|
| 6371 |
+
},
|
| 6372 |
+
{
|
| 6373 |
+
"epoch": 75.36,
|
| 6374 |
+
"learning_rate": 3.581081081081081e-07,
|
| 6375 |
+
"loss": 0.3312,
|
| 6376 |
+
"step": 829
|
| 6377 |
+
},
|
| 6378 |
+
{
|
| 6379 |
+
"epoch": 75.45,
|
| 6380 |
+
"learning_rate": 3.5472972972972976e-07,
|
| 6381 |
+
"loss": 0.3004,
|
| 6382 |
+
"step": 830
|
| 6383 |
+
},
|
| 6384 |
+
{
|
| 6385 |
+
"epoch": 75.45,
|
| 6386 |
+
"eval_accuracy_safe": 0.6232358394917521,
|
| 6387 |
+
"eval_accuracy_unlabeled": NaN,
|
| 6388 |
+
"eval_accuracy_unsafe": 0.989330147072024,
|
| 6389 |
+
"eval_iou_safe": 0.4632075377093191,
|
| 6390 |
+
"eval_iou_unlabeled": 0.0,
|
| 6391 |
+
"eval_iou_unsafe": 0.9781148642197699,
|
| 6392 |
+
"eval_loss": 0.27982932329177856,
|
| 6393 |
+
"eval_mean_accuracy": 0.806282993281888,
|
| 6394 |
+
"eval_mean_iou": 0.4804408006430297,
|
| 6395 |
+
"eval_overall_accuracy": 0.978516308229361,
|
| 6396 |
+
"eval_runtime": 9.385,
|
| 6397 |
+
"eval_samples_per_second": 7.139,
|
| 6398 |
+
"eval_steps_per_second": 0.533,
|
| 6399 |
+
"step": 830
|
| 6400 |
+
},
|
| 6401 |
+
{
|
| 6402 |
+
"epoch": 75.55,
|
| 6403 |
+
"learning_rate": 3.5135135135135134e-07,
|
| 6404 |
+
"loss": 0.2947,
|
| 6405 |
+
"step": 831
|
| 6406 |
+
},
|
| 6407 |
+
{
|
| 6408 |
+
"epoch": 75.64,
|
| 6409 |
+
"learning_rate": 3.47972972972973e-07,
|
| 6410 |
+
"loss": 0.3226,
|
| 6411 |
+
"step": 832
|
| 6412 |
+
},
|
| 6413 |
+
{
|
| 6414 |
+
"epoch": 75.73,
|
| 6415 |
+
"learning_rate": 3.445945945945946e-07,
|
| 6416 |
+
"loss": 0.3221,
|
| 6417 |
+
"step": 833
|
| 6418 |
+
},
|
| 6419 |
+
{
|
| 6420 |
+
"epoch": 75.82,
|
| 6421 |
+
"learning_rate": 3.4121621621621624e-07,
|
| 6422 |
+
"loss": 0.3153,
|
| 6423 |
+
"step": 834
|
| 6424 |
+
},
|
| 6425 |
+
{
|
| 6426 |
+
"epoch": 75.91,
|
| 6427 |
+
"learning_rate": 3.378378378378379e-07,
|
| 6428 |
+
"loss": 0.3358,
|
| 6429 |
+
"step": 835
|
| 6430 |
+
},
|
| 6431 |
+
{
|
| 6432 |
+
"epoch": 76.0,
|
| 6433 |
+
"learning_rate": 3.3445945945945946e-07,
|
| 6434 |
+
"loss": 0.3165,
|
| 6435 |
+
"step": 836
|
| 6436 |
+
},
|
| 6437 |
+
{
|
| 6438 |
+
"epoch": 76.09,
|
| 6439 |
+
"learning_rate": 3.310810810810811e-07,
|
| 6440 |
+
"loss": 0.3004,
|
| 6441 |
+
"step": 837
|
| 6442 |
+
},
|
| 6443 |
+
{
|
| 6444 |
+
"epoch": 76.18,
|
| 6445 |
+
"learning_rate": 3.2770270270270267e-07,
|
| 6446 |
+
"loss": 0.2937,
|
| 6447 |
+
"step": 838
|
| 6448 |
+
},
|
| 6449 |
+
{
|
| 6450 |
+
"epoch": 76.27,
|
| 6451 |
+
"learning_rate": 3.2432432432432436e-07,
|
| 6452 |
+
"loss": 0.3298,
|
| 6453 |
+
"step": 839
|
| 6454 |
+
},
|
| 6455 |
+
{
|
| 6456 |
+
"epoch": 76.36,
|
| 6457 |
+
"learning_rate": 3.2094594594594594e-07,
|
| 6458 |
+
"loss": 0.3336,
|
| 6459 |
+
"step": 840
|
| 6460 |
+
},
|
| 6461 |
+
{
|
| 6462 |
+
"epoch": 76.36,
|
| 6463 |
+
"eval_accuracy_safe": 0.6484612626782472,
|
| 6464 |
+
"eval_accuracy_unlabeled": NaN,
|
| 6465 |
+
"eval_accuracy_unsafe": 0.987219421049624,
|
| 6466 |
+
"eval_iou_safe": 0.4592642445455861,
|
| 6467 |
+
"eval_iou_unlabeled": 0.0,
|
| 6468 |
+
"eval_iou_unsafe": 0.9767689022192217,
|
| 6469 |
+
"eval_loss": 0.29541948437690735,
|
| 6470 |
+
"eval_mean_accuracy": 0.8178403418639356,
|
| 6471 |
+
"eval_mean_iou": 0.4786777155882693,
|
| 6472 |
+
"eval_overall_accuracy": 0.9772130482232393,
|
| 6473 |
+
"eval_runtime": 10.9829,
|
| 6474 |
+
"eval_samples_per_second": 6.1,
|
| 6475 |
+
"eval_steps_per_second": 0.455,
|
| 6476 |
+
"step": 840
|
| 6477 |
+
},
|
| 6478 |
+
{
|
| 6479 |
+
"epoch": 76.45,
|
| 6480 |
+
"learning_rate": 3.175675675675676e-07,
|
| 6481 |
+
"loss": 0.329,
|
| 6482 |
+
"step": 841
|
| 6483 |
+
},
|
| 6484 |
+
{
|
| 6485 |
+
"epoch": 76.55,
|
| 6486 |
+
"learning_rate": 3.141891891891892e-07,
|
| 6487 |
+
"loss": 0.3153,
|
| 6488 |
+
"step": 842
|
| 6489 |
+
},
|
| 6490 |
+
{
|
| 6491 |
+
"epoch": 76.64,
|
| 6492 |
+
"learning_rate": 3.108108108108108e-07,
|
| 6493 |
+
"loss": 0.2911,
|
| 6494 |
+
"step": 843
|
| 6495 |
+
},
|
| 6496 |
+
{
|
| 6497 |
+
"epoch": 76.73,
|
| 6498 |
+
"learning_rate": 3.074324324324324e-07,
|
| 6499 |
+
"loss": 0.3222,
|
| 6500 |
+
"step": 844
|
| 6501 |
+
},
|
| 6502 |
+
{
|
| 6503 |
+
"epoch": 76.82,
|
| 6504 |
+
"learning_rate": 3.0405405405405406e-07,
|
| 6505 |
+
"loss": 0.2909,
|
| 6506 |
+
"step": 845
|
| 6507 |
+
},
|
| 6508 |
+
{
|
| 6509 |
+
"epoch": 76.91,
|
| 6510 |
+
"learning_rate": 3.006756756756757e-07,
|
| 6511 |
+
"loss": 0.3212,
|
| 6512 |
+
"step": 846
|
| 6513 |
+
},
|
| 6514 |
+
{
|
| 6515 |
+
"epoch": 77.0,
|
| 6516 |
+
"learning_rate": 2.972972972972973e-07,
|
| 6517 |
+
"loss": 0.3321,
|
| 6518 |
+
"step": 847
|
| 6519 |
+
},
|
| 6520 |
+
{
|
| 6521 |
+
"epoch": 77.09,
|
| 6522 |
+
"learning_rate": 2.939189189189189e-07,
|
| 6523 |
+
"loss": 0.3263,
|
| 6524 |
+
"step": 848
|
| 6525 |
+
},
|
| 6526 |
+
{
|
| 6527 |
+
"epoch": 77.18,
|
| 6528 |
+
"learning_rate": 2.9054054054054054e-07,
|
| 6529 |
+
"loss": 0.3369,
|
| 6530 |
+
"step": 849
|
| 6531 |
+
},
|
| 6532 |
+
{
|
| 6533 |
+
"epoch": 77.27,
|
| 6534 |
+
"learning_rate": 2.871621621621622e-07,
|
| 6535 |
+
"loss": 0.299,
|
| 6536 |
+
"step": 850
|
| 6537 |
+
},
|
| 6538 |
+
{
|
| 6539 |
+
"epoch": 77.27,
|
| 6540 |
+
"eval_accuracy_safe": 0.6490125327196117,
|
| 6541 |
+
"eval_accuracy_unlabeled": NaN,
|
| 6542 |
+
"eval_accuracy_unsafe": 0.9873693784033015,
|
| 6543 |
+
"eval_iou_safe": 0.4612546833154106,
|
| 6544 |
+
"eval_iou_unlabeled": 0.0,
|
| 6545 |
+
"eval_iou_unsafe": 0.9769332073058408,
|
| 6546 |
+
"eval_loss": 0.2908638119697571,
|
| 6547 |
+
"eval_mean_accuracy": 0.8181909555614566,
|
| 6548 |
+
"eval_mean_iou": 0.4793959635404171,
|
| 6549 |
+
"eval_overall_accuracy": 0.9773748597102379,
|
| 6550 |
+
"eval_runtime": 10.9162,
|
| 6551 |
+
"eval_samples_per_second": 6.138,
|
| 6552 |
+
"eval_steps_per_second": 0.458,
|
| 6553 |
+
"step": 850
|
| 6554 |
+
},
|
| 6555 |
+
{
|
| 6556 |
+
"epoch": 77.36,
|
| 6557 |
+
"learning_rate": 2.837837837837838e-07,
|
| 6558 |
+
"loss": 0.2851,
|
| 6559 |
+
"step": 851
|
| 6560 |
+
},
|
| 6561 |
+
{
|
| 6562 |
+
"epoch": 77.45,
|
| 6563 |
+
"learning_rate": 2.8040540540540544e-07,
|
| 6564 |
+
"loss": 0.2774,
|
| 6565 |
+
"step": 852
|
| 6566 |
+
},
|
| 6567 |
+
{
|
| 6568 |
+
"epoch": 77.55,
|
| 6569 |
+
"learning_rate": 2.77027027027027e-07,
|
| 6570 |
+
"loss": 0.3091,
|
| 6571 |
+
"step": 853
|
| 6572 |
+
},
|
| 6573 |
+
{
|
| 6574 |
+
"epoch": 77.64,
|
| 6575 |
+
"learning_rate": 2.7364864864864866e-07,
|
| 6576 |
+
"loss": 0.3395,
|
| 6577 |
+
"step": 854
|
| 6578 |
+
},
|
| 6579 |
+
{
|
| 6580 |
+
"epoch": 77.73,
|
| 6581 |
+
"learning_rate": 2.7027027027027024e-07,
|
| 6582 |
+
"loss": 0.3364,
|
| 6583 |
+
"step": 855
|
| 6584 |
+
},
|
| 6585 |
+
{
|
| 6586 |
+
"epoch": 77.82,
|
| 6587 |
+
"learning_rate": 2.6689189189189187e-07,
|
| 6588 |
+
"loss": 0.3395,
|
| 6589 |
+
"step": 856
|
| 6590 |
+
},
|
| 6591 |
+
{
|
| 6592 |
+
"epoch": 77.91,
|
| 6593 |
+
"learning_rate": 2.6351351351351356e-07,
|
| 6594 |
+
"loss": 0.2895,
|
| 6595 |
+
"step": 857
|
| 6596 |
+
},
|
| 6597 |
+
{
|
| 6598 |
+
"epoch": 78.0,
|
| 6599 |
+
"learning_rate": 2.6013513513513514e-07,
|
| 6600 |
+
"loss": 0.3205,
|
| 6601 |
+
"step": 858
|
| 6602 |
+
},
|
| 6603 |
+
{
|
| 6604 |
+
"epoch": 78.09,
|
| 6605 |
+
"learning_rate": 2.567567567567568e-07,
|
| 6606 |
+
"loss": 0.3041,
|
| 6607 |
+
"step": 859
|
| 6608 |
+
},
|
| 6609 |
+
{
|
| 6610 |
+
"epoch": 78.18,
|
| 6611 |
+
"learning_rate": 2.5337837837837835e-07,
|
| 6612 |
+
"loss": 0.292,
|
| 6613 |
+
"step": 860
|
| 6614 |
+
},
|
| 6615 |
+
{
|
| 6616 |
+
"epoch": 78.18,
|
| 6617 |
+
"eval_accuracy_safe": 0.6497314967945382,
|
| 6618 |
+
"eval_accuracy_unlabeled": NaN,
|
| 6619 |
+
"eval_accuracy_unsafe": 0.9875053725918087,
|
| 6620 |
+
"eval_iou_safe": 0.462851791638289,
|
| 6621 |
+
"eval_iou_unlabeled": 0.0,
|
| 6622 |
+
"eval_iou_unsafe": 0.9770889201532796,
|
| 6623 |
+
"eval_loss": 0.2852531969547272,
|
| 6624 |
+
"eval_mean_accuracy": 0.8186184346931735,
|
| 6625 |
+
"eval_mean_iou": 0.4799802372638562,
|
| 6626 |
+
"eval_overall_accuracy": 0.9775280738944438,
|
| 6627 |
+
"eval_runtime": 10.619,
|
| 6628 |
+
"eval_samples_per_second": 6.309,
|
| 6629 |
+
"eval_steps_per_second": 0.471,
|
| 6630 |
+
"step": 860
|
| 6631 |
+
},
|
| 6632 |
+
{
|
| 6633 |
+
"epoch": 78.27,
|
| 6634 |
+
"learning_rate": 2.5e-07,
|
| 6635 |
+
"loss": 0.3158,
|
| 6636 |
+
"step": 861
|
| 6637 |
+
},
|
| 6638 |
+
{
|
| 6639 |
+
"epoch": 78.36,
|
| 6640 |
+
"learning_rate": 2.466216216216216e-07,
|
| 6641 |
+
"loss": 0.3292,
|
| 6642 |
+
"step": 862
|
| 6643 |
+
},
|
| 6644 |
+
{
|
| 6645 |
+
"epoch": 78.45,
|
| 6646 |
+
"learning_rate": 2.4324324324324326e-07,
|
| 6647 |
+
"loss": 0.3412,
|
| 6648 |
+
"step": 863
|
| 6649 |
+
},
|
| 6650 |
+
{
|
| 6651 |
+
"epoch": 78.55,
|
| 6652 |
+
"learning_rate": 2.398648648648649e-07,
|
| 6653 |
+
"loss": 0.2824,
|
| 6654 |
+
"step": 864
|
| 6655 |
+
},
|
| 6656 |
+
{
|
| 6657 |
+
"epoch": 78.64,
|
| 6658 |
+
"learning_rate": 2.364864864864865e-07,
|
| 6659 |
+
"loss": 0.3077,
|
| 6660 |
+
"step": 865
|
| 6661 |
+
},
|
| 6662 |
+
{
|
| 6663 |
+
"epoch": 78.73,
|
| 6664 |
+
"learning_rate": 2.331081081081081e-07,
|
| 6665 |
+
"loss": 0.3257,
|
| 6666 |
+
"step": 866
|
| 6667 |
+
},
|
| 6668 |
+
{
|
| 6669 |
+
"epoch": 78.82,
|
| 6670 |
+
"learning_rate": 2.297297297297297e-07,
|
| 6671 |
+
"loss": 0.3032,
|
| 6672 |
+
"step": 867
|
| 6673 |
+
},
|
| 6674 |
+
{
|
| 6675 |
+
"epoch": 78.91,
|
| 6676 |
+
"learning_rate": 2.2635135135135137e-07,
|
| 6677 |
+
"loss": 0.3132,
|
| 6678 |
+
"step": 868
|
| 6679 |
+
},
|
| 6680 |
+
{
|
| 6681 |
+
"epoch": 79.0,
|
| 6682 |
+
"learning_rate": 2.2297297297297298e-07,
|
| 6683 |
+
"loss": 0.3469,
|
| 6684 |
+
"step": 869
|
| 6685 |
+
},
|
| 6686 |
+
{
|
| 6687 |
+
"epoch": 79.09,
|
| 6688 |
+
"learning_rate": 2.1959459459459461e-07,
|
| 6689 |
+
"loss": 0.2922,
|
| 6690 |
+
"step": 870
|
| 6691 |
+
},
|
| 6692 |
+
{
|
| 6693 |
+
"epoch": 79.09,
|
| 6694 |
+
"eval_accuracy_safe": 0.6586057879499309,
|
| 6695 |
+
"eval_accuracy_unlabeled": NaN,
|
| 6696 |
+
"eval_accuracy_unsafe": 0.986641475082849,
|
| 6697 |
+
"eval_iou_safe": 0.4601317293824394,
|
| 6698 |
+
"eval_iou_unlabeled": 0.0,
|
| 6699 |
+
"eval_iou_unsafe": 0.976495115071741,
|
| 6700 |
+
"eval_loss": 0.2916642725467682,
|
| 6701 |
+
"eval_mean_accuracy": 0.82262363151639,
|
| 6702 |
+
"eval_mean_iou": 0.4788756148180601,
|
| 6703 |
+
"eval_overall_accuracy": 0.9769518268642141,
|
| 6704 |
+
"eval_runtime": 9.4334,
|
| 6705 |
+
"eval_samples_per_second": 7.102,
|
| 6706 |
+
"eval_steps_per_second": 0.53,
|
| 6707 |
+
"step": 870
|
| 6708 |
+
},
|
| 6709 |
+
{
|
| 6710 |
+
"epoch": 79.18,
|
| 6711 |
+
"learning_rate": 2.1621621621621622e-07,
|
| 6712 |
+
"loss": 0.2991,
|
| 6713 |
+
"step": 871
|
| 6714 |
+
},
|
| 6715 |
+
{
|
| 6716 |
+
"epoch": 79.27,
|
| 6717 |
+
"learning_rate": 2.1283783783783783e-07,
|
| 6718 |
+
"loss": 0.3065,
|
| 6719 |
+
"step": 872
|
| 6720 |
+
},
|
| 6721 |
+
{
|
| 6722 |
+
"epoch": 79.36,
|
| 6723 |
+
"learning_rate": 2.0945945945945944e-07,
|
| 6724 |
+
"loss": 0.3218,
|
| 6725 |
+
"step": 873
|
| 6726 |
+
},
|
| 6727 |
+
{
|
| 6728 |
+
"epoch": 79.45,
|
| 6729 |
+
"learning_rate": 2.060810810810811e-07,
|
| 6730 |
+
"loss": 0.2962,
|
| 6731 |
+
"step": 874
|
| 6732 |
+
},
|
| 6733 |
+
{
|
| 6734 |
+
"epoch": 79.55,
|
| 6735 |
+
"learning_rate": 2.0270270270270273e-07,
|
| 6736 |
+
"loss": 0.3047,
|
| 6737 |
+
"step": 875
|
| 6738 |
+
},
|
| 6739 |
+
{
|
| 6740 |
+
"epoch": 79.64,
|
| 6741 |
+
"learning_rate": 1.9932432432432434e-07,
|
| 6742 |
+
"loss": 0.3408,
|
| 6743 |
+
"step": 876
|
| 6744 |
+
},
|
| 6745 |
+
{
|
| 6746 |
+
"epoch": 79.73,
|
| 6747 |
+
"learning_rate": 1.9594594594594595e-07,
|
| 6748 |
+
"loss": 0.2935,
|
| 6749 |
+
"step": 877
|
| 6750 |
+
},
|
| 6751 |
+
{
|
| 6752 |
+
"epoch": 79.82,
|
| 6753 |
+
"learning_rate": 1.9256756756756755e-07,
|
| 6754 |
+
"loss": 0.3327,
|
| 6755 |
+
"step": 878
|
| 6756 |
+
},
|
| 6757 |
+
{
|
| 6758 |
+
"epoch": 79.91,
|
| 6759 |
+
"learning_rate": 1.891891891891892e-07,
|
| 6760 |
+
"loss": 0.3071,
|
| 6761 |
+
"step": 879
|
| 6762 |
+
},
|
| 6763 |
+
{
|
| 6764 |
+
"epoch": 80.0,
|
| 6765 |
+
"learning_rate": 1.8581081081081082e-07,
|
| 6766 |
+
"loss": 0.3583,
|
| 6767 |
+
"step": 880
|
| 6768 |
+
},
|
| 6769 |
+
{
|
| 6770 |
+
"epoch": 80.0,
|
| 6771 |
+
"eval_accuracy_safe": 0.6515260157054136,
|
| 6772 |
+
"eval_accuracy_unlabeled": NaN,
|
| 6773 |
+
"eval_accuracy_unsafe": 0.9875674441411791,
|
| 6774 |
+
"eval_iou_safe": 0.4643852215774202,
|
| 6775 |
+
"eval_iou_unlabeled": 0.0,
|
| 6776 |
+
"eval_iou_unsafe": 0.9772031493777439,
|
| 6777 |
+
"eval_loss": 0.2875562906265259,
|
| 6778 |
+
"eval_mean_accuracy": 0.8195467299232964,
|
| 6779 |
+
"eval_mean_iou": 0.48052945698505467,
|
| 6780 |
+
"eval_overall_accuracy": 0.9776413191610308,
|
| 6781 |
+
"eval_runtime": 10.47,
|
| 6782 |
+
"eval_samples_per_second": 6.399,
|
| 6783 |
+
"eval_steps_per_second": 0.478,
|
| 6784 |
+
"step": 880
|
| 6785 |
+
},
|
| 6786 |
+
{
|
| 6787 |
+
"epoch": 80.09,
|
| 6788 |
+
"learning_rate": 1.8243243243243246e-07,
|
| 6789 |
+
"loss": 0.3193,
|
| 6790 |
+
"step": 881
|
| 6791 |
+
},
|
| 6792 |
+
{
|
| 6793 |
+
"epoch": 80.18,
|
| 6794 |
+
"learning_rate": 1.7905405405405406e-07,
|
| 6795 |
+
"loss": 0.3032,
|
| 6796 |
+
"step": 882
|
| 6797 |
+
},
|
| 6798 |
+
{
|
| 6799 |
+
"epoch": 80.27,
|
| 6800 |
+
"learning_rate": 1.7567567567567567e-07,
|
| 6801 |
+
"loss": 0.2931,
|
| 6802 |
+
"step": 883
|
| 6803 |
+
},
|
| 6804 |
+
{
|
| 6805 |
+
"epoch": 80.36,
|
| 6806 |
+
"learning_rate": 1.722972972972973e-07,
|
| 6807 |
+
"loss": 0.3185,
|
| 6808 |
+
"step": 884
|
| 6809 |
+
},
|
| 6810 |
+
{
|
| 6811 |
+
"epoch": 80.45,
|
| 6812 |
+
"learning_rate": 1.6891891891891894e-07,
|
| 6813 |
+
"loss": 0.3118,
|
| 6814 |
+
"step": 885
|
| 6815 |
+
},
|
| 6816 |
+
{
|
| 6817 |
+
"epoch": 80.55,
|
| 6818 |
+
"learning_rate": 1.6554054054054055e-07,
|
| 6819 |
+
"loss": 0.2959,
|
| 6820 |
+
"step": 886
|
| 6821 |
+
},
|
| 6822 |
+
{
|
| 6823 |
+
"epoch": 80.64,
|
| 6824 |
+
"learning_rate": 1.6216216216216218e-07,
|
| 6825 |
+
"loss": 0.3005,
|
| 6826 |
+
"step": 887
|
| 6827 |
+
},
|
| 6828 |
+
{
|
| 6829 |
+
"epoch": 80.73,
|
| 6830 |
+
"learning_rate": 1.587837837837838e-07,
|
| 6831 |
+
"loss": 0.3257,
|
| 6832 |
+
"step": 888
|
| 6833 |
+
},
|
| 6834 |
+
{
|
| 6835 |
+
"epoch": 80.82,
|
| 6836 |
+
"learning_rate": 1.554054054054054e-07,
|
| 6837 |
+
"loss": 0.287,
|
| 6838 |
+
"step": 889
|
| 6839 |
+
},
|
| 6840 |
+
{
|
| 6841 |
+
"epoch": 80.91,
|
| 6842 |
+
"learning_rate": 1.5202702702702703e-07,
|
| 6843 |
+
"loss": 0.293,
|
| 6844 |
+
"step": 890
|
| 6845 |
+
},
|
| 6846 |
+
{
|
| 6847 |
+
"epoch": 80.91,
|
| 6848 |
+
"eval_accuracy_safe": 0.6464797745575384,
|
| 6849 |
+
"eval_accuracy_unlabeled": NaN,
|
| 6850 |
+
"eval_accuracy_unsafe": 0.9881851088592998,
|
| 6851 |
+
"eval_iou_safe": 0.46743123613294535,
|
| 6852 |
+
"eval_iou_unlabeled": 0.0,
|
| 6853 |
+
"eval_iou_unsafe": 0.9776656866480414,
|
| 6854 |
+
"eval_loss": 0.27672818303108215,
|
| 6855 |
+
"eval_mean_accuracy": 0.8173324417084191,
|
| 6856 |
+
"eval_mean_iou": 0.48169897426032887,
|
| 6857 |
+
"eval_overall_accuracy": 0.9780916811814949,
|
| 6858 |
+
"eval_runtime": 10.4393,
|
| 6859 |
+
"eval_samples_per_second": 6.418,
|
| 6860 |
+
"eval_steps_per_second": 0.479,
|
| 6861 |
+
"step": 890
|
| 6862 |
+
},
|
| 6863 |
+
{
|
| 6864 |
+
"epoch": 81.0,
|
| 6865 |
+
"learning_rate": 1.4864864864864866e-07,
|
| 6866 |
+
"loss": 0.3292,
|
| 6867 |
+
"step": 891
|
| 6868 |
+
},
|
| 6869 |
+
{
|
| 6870 |
+
"epoch": 81.09,
|
| 6871 |
+
"learning_rate": 1.4527027027027027e-07,
|
| 6872 |
+
"loss": 0.3271,
|
| 6873 |
+
"step": 892
|
| 6874 |
+
},
|
| 6875 |
+
{
|
| 6876 |
+
"epoch": 81.18,
|
| 6877 |
+
"learning_rate": 1.418918918918919e-07,
|
| 6878 |
+
"loss": 0.3114,
|
| 6879 |
+
"step": 893
|
| 6880 |
+
},
|
| 6881 |
+
{
|
| 6882 |
+
"epoch": 81.27,
|
| 6883 |
+
"learning_rate": 1.385135135135135e-07,
|
| 6884 |
+
"loss": 0.298,
|
| 6885 |
+
"step": 894
|
| 6886 |
+
},
|
| 6887 |
+
{
|
| 6888 |
+
"epoch": 81.36,
|
| 6889 |
+
"learning_rate": 1.3513513513513512e-07,
|
| 6890 |
+
"loss": 0.292,
|
| 6891 |
+
"step": 895
|
| 6892 |
+
},
|
| 6893 |
+
{
|
| 6894 |
+
"epoch": 81.45,
|
| 6895 |
+
"learning_rate": 1.3175675675675678e-07,
|
| 6896 |
+
"loss": 0.2806,
|
| 6897 |
+
"step": 896
|
| 6898 |
+
},
|
| 6899 |
+
{
|
| 6900 |
+
"epoch": 81.55,
|
| 6901 |
+
"learning_rate": 1.283783783783784e-07,
|
| 6902 |
+
"loss": 0.2994,
|
| 6903 |
+
"step": 897
|
| 6904 |
+
},
|
| 6905 |
+
{
|
| 6906 |
+
"epoch": 81.64,
|
| 6907 |
+
"learning_rate": 1.25e-07,
|
| 6908 |
+
"loss": 0.3274,
|
| 6909 |
+
"step": 898
|
| 6910 |
+
},
|
| 6911 |
+
{
|
| 6912 |
+
"epoch": 81.73,
|
| 6913 |
+
"learning_rate": 1.2162162162162163e-07,
|
| 6914 |
+
"loss": 0.3284,
|
| 6915 |
+
"step": 899
|
| 6916 |
+
},
|
| 6917 |
+
{
|
| 6918 |
+
"epoch": 81.82,
|
| 6919 |
+
"learning_rate": 1.1824324324324325e-07,
|
| 6920 |
+
"loss": 0.3287,
|
| 6921 |
+
"step": 900
|
| 6922 |
+
},
|
| 6923 |
+
{
|
| 6924 |
+
"epoch": 81.82,
|
| 6925 |
+
"eval_accuracy_safe": 0.651817070867113,
|
| 6926 |
+
"eval_accuracy_unlabeled": NaN,
|
| 6927 |
+
"eval_accuracy_unsafe": 0.9876163152192751,
|
| 6928 |
+
"eval_iou_safe": 0.4652088022143105,
|
| 6929 |
+
"eval_iou_unlabeled": 0.0,
|
| 6930 |
+
"eval_iou_unsafe": 0.9772601877034197,
|
| 6931 |
+
"eval_loss": 0.28578364849090576,
|
| 6932 |
+
"eval_mean_accuracy": 0.8197166930431941,
|
| 6933 |
+
"eval_mean_iou": 0.48082299663924344,
|
| 6934 |
+
"eval_overall_accuracy": 0.9776973439686334,
|
| 6935 |
+
"eval_runtime": 9.8853,
|
| 6936 |
+
"eval_samples_per_second": 6.778,
|
| 6937 |
+
"eval_steps_per_second": 0.506,
|
| 6938 |
+
"step": 900
|
| 6939 |
+
},
|
| 6940 |
+
{
|
| 6941 |
+
"epoch": 81.91,
|
| 6942 |
+
"learning_rate": 1.1486486486486486e-07,
|
| 6943 |
+
"loss": 0.2998,
|
| 6944 |
+
"step": 901
|
| 6945 |
+
},
|
| 6946 |
+
{
|
| 6947 |
+
"epoch": 82.0,
|
| 6948 |
+
"learning_rate": 1.1148648648648649e-07,
|
| 6949 |
+
"loss": 0.3326,
|
| 6950 |
+
"step": 902
|
| 6951 |
+
},
|
| 6952 |
+
{
|
| 6953 |
+
"epoch": 82.09,
|
| 6954 |
+
"learning_rate": 1.0810810810810811e-07,
|
| 6955 |
+
"loss": 0.287,
|
| 6956 |
+
"step": 903
|
| 6957 |
+
},
|
| 6958 |
+
{
|
| 6959 |
+
"epoch": 82.18,
|
| 6960 |
+
"learning_rate": 1.0472972972972972e-07,
|
| 6961 |
+
"loss": 0.2957,
|
| 6962 |
+
"step": 904
|
| 6963 |
+
},
|
| 6964 |
+
{
|
| 6965 |
+
"epoch": 82.27,
|
| 6966 |
+
"learning_rate": 1.0135135135135137e-07,
|
| 6967 |
+
"loss": 0.3262,
|
| 6968 |
+
"step": 905
|
| 6969 |
+
},
|
| 6970 |
+
{
|
| 6971 |
+
"epoch": 82.36,
|
| 6972 |
+
"learning_rate": 9.797297297297297e-08,
|
| 6973 |
+
"loss": 0.3166,
|
| 6974 |
+
"step": 906
|
| 6975 |
+
},
|
| 6976 |
+
{
|
| 6977 |
+
"epoch": 82.45,
|
| 6978 |
+
"learning_rate": 9.45945945945946e-08,
|
| 6979 |
+
"loss": 0.2848,
|
| 6980 |
+
"step": 907
|
| 6981 |
+
},
|
| 6982 |
+
{
|
| 6983 |
+
"epoch": 82.55,
|
| 6984 |
+
"learning_rate": 9.121621621621623e-08,
|
| 6985 |
+
"loss": 0.2995,
|
| 6986 |
+
"step": 908
|
| 6987 |
+
},
|
| 6988 |
+
{
|
| 6989 |
+
"epoch": 82.64,
|
| 6990 |
+
"learning_rate": 8.783783783783784e-08,
|
| 6991 |
+
"loss": 0.324,
|
| 6992 |
+
"step": 909
|
| 6993 |
+
},
|
| 6994 |
+
{
|
| 6995 |
+
"epoch": 82.73,
|
| 6996 |
+
"learning_rate": 8.445945945945947e-08,
|
| 6997 |
+
"loss": 0.3067,
|
| 6998 |
+
"step": 910
|
| 6999 |
+
},
|
| 7000 |
+
{
|
| 7001 |
+
"epoch": 82.73,
|
| 7002 |
+
"eval_accuracy_safe": 0.6528463652800105,
|
| 7003 |
+
"eval_accuracy_unlabeled": NaN,
|
| 7004 |
+
"eval_accuracy_unsafe": 0.987525202633101,
|
| 7005 |
+
"eval_iou_safe": 0.4653979333846323,
|
| 7006 |
+
"eval_iou_unlabeled": 0.0,
|
| 7007 |
+
"eval_iou_unsafe": 0.977200381052192,
|
| 7008 |
+
"eval_loss": 0.2860513925552368,
|
| 7009 |
+
"eval_mean_accuracy": 0.8201857839565557,
|
| 7010 |
+
"eval_mean_iou": 0.4808661048122748,
|
| 7011 |
+
"eval_overall_accuracy": 0.9776393264087279,
|
| 7012 |
+
"eval_runtime": 9.3628,
|
| 7013 |
+
"eval_samples_per_second": 7.156,
|
| 7014 |
+
"eval_steps_per_second": 0.534,
|
| 7015 |
+
"step": 910
|
| 7016 |
+
},
|
| 7017 |
+
{
|
| 7018 |
+
"epoch": 82.82,
|
| 7019 |
+
"learning_rate": 8.108108108108109e-08,
|
| 7020 |
+
"loss": 0.2896,
|
| 7021 |
+
"step": 911
|
| 7022 |
+
},
|
| 7023 |
+
{
|
| 7024 |
+
"epoch": 82.91,
|
| 7025 |
+
"learning_rate": 7.77027027027027e-08,
|
| 7026 |
+
"loss": 0.3404,
|
| 7027 |
+
"step": 912
|
| 7028 |
+
},
|
| 7029 |
+
{
|
| 7030 |
+
"epoch": 83.0,
|
| 7031 |
+
"learning_rate": 7.432432432432433e-08,
|
| 7032 |
+
"loss": 0.3558,
|
| 7033 |
+
"step": 913
|
| 7034 |
+
},
|
| 7035 |
+
{
|
| 7036 |
+
"epoch": 83.09,
|
| 7037 |
+
"learning_rate": 7.094594594594595e-08,
|
| 7038 |
+
"loss": 0.301,
|
| 7039 |
+
"step": 914
|
| 7040 |
+
},
|
| 7041 |
+
{
|
| 7042 |
+
"epoch": 83.18,
|
| 7043 |
+
"learning_rate": 6.756756756756756e-08,
|
| 7044 |
+
"loss": 0.3109,
|
| 7045 |
+
"step": 915
|
| 7046 |
+
},
|
| 7047 |
+
{
|
| 7048 |
+
"epoch": 83.27,
|
| 7049 |
+
"learning_rate": 6.41891891891892e-08,
|
| 7050 |
+
"loss": 0.2861,
|
| 7051 |
+
"step": 916
|
| 7052 |
+
},
|
| 7053 |
+
{
|
| 7054 |
+
"epoch": 83.36,
|
| 7055 |
+
"learning_rate": 6.081081081081081e-08,
|
| 7056 |
+
"loss": 0.2973,
|
| 7057 |
+
"step": 917
|
| 7058 |
+
},
|
| 7059 |
+
{
|
| 7060 |
+
"epoch": 83.45,
|
| 7061 |
+
"learning_rate": 5.743243243243243e-08,
|
| 7062 |
+
"loss": 0.3144,
|
| 7063 |
+
"step": 918
|
| 7064 |
+
},
|
| 7065 |
+
{
|
| 7066 |
+
"epoch": 83.55,
|
| 7067 |
+
"learning_rate": 5.4054054054054056e-08,
|
| 7068 |
+
"loss": 0.3096,
|
| 7069 |
+
"step": 919
|
| 7070 |
+
},
|
| 7071 |
+
{
|
| 7072 |
+
"epoch": 83.64,
|
| 7073 |
+
"learning_rate": 5.067567567567568e-08,
|
| 7074 |
+
"loss": 0.3374,
|
| 7075 |
+
"step": 920
|
| 7076 |
+
},
|
| 7077 |
+
{
|
| 7078 |
+
"epoch": 83.64,
|
| 7079 |
+
"eval_accuracy_safe": 0.6577017821827981,
|
| 7080 |
+
"eval_accuracy_unlabeled": NaN,
|
| 7081 |
+
"eval_accuracy_unsafe": 0.9870246994311359,
|
| 7082 |
+
"eval_iou_safe": 0.46313936379874804,
|
| 7083 |
+
"eval_iou_unlabeled": 0.0,
|
| 7084 |
+
"eval_iou_unsafe": 0.9768479096925932,
|
| 7085 |
+
"eval_loss": 0.28693443536758423,
|
| 7086 |
+
"eval_mean_accuracy": 0.822363240806967,
|
| 7087 |
+
"eval_mean_iou": 0.47999575783044707,
|
| 7088 |
+
"eval_overall_accuracy": 0.9772970284988631,
|
| 7089 |
+
"eval_runtime": 11.1318,
|
| 7090 |
+
"eval_samples_per_second": 6.019,
|
| 7091 |
+
"eval_steps_per_second": 0.449,
|
| 7092 |
+
"step": 920
|
| 7093 |
}
|
| 7094 |
],
|
| 7095 |
+
"max_steps": 935,
|
| 7096 |
+
"num_train_epochs": 85,
|
| 7097 |
+
"total_flos": 5.144134229653193e+18,
|
| 7098 |
"trial_name": null,
|
| 7099 |
"trial_params": null
|
| 7100 |
}
|
{checkpoint-720 → checkpoint-920}/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:e352867b00372ad5d63a9103bedb2fad30ae620590f72c9c8f3a5537d2fff762
|
| 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 sha256:10b07a07a3aebbde2cfd336590363dfc807a4c57bb965a7ecd992f7d79764f4f
|
| 3 |
size 338796489
|
runs/Feb08_00-07-50_robovision.csres.utexas.edu/events.out.tfevents.1707372476.robovision.csres.utexas.edu.781259.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3f02dd69f5e93da0dd5bd7c225712c1a75d1e74ee3f3e011551dcbdcb8844ed0
|
| 3 |
+
size 42367
|