Training in progress, step 1120
Browse files- {checkpoint-920 → checkpoint-1120}/config.json +0 -0
- {checkpoint-920 → checkpoint-1120}/optimizer.pt +1 -1
- {checkpoint-920 → checkpoint-1120}/pytorch_model.bin +1 -1
- {checkpoint-920 → checkpoint-1120}/rng_state.pth +1 -1
- {checkpoint-920 → checkpoint-1120}/scheduler.pt +1 -1
- {checkpoint-920 → checkpoint-1120}/trainer_state.json +1547 -7
- {checkpoint-920 → checkpoint-1120}/training_args.bin +1 -1
- pytorch_model.bin +1 -1
- runs/Feb08_01-03-36_robovision.csres.utexas.edu/events.out.tfevents.1707375822.robovision.csres.utexas.edu.795055.0 +2 -2
{checkpoint-920 → checkpoint-1120}/config.json
RENAMED
|
File without changes
|
{checkpoint-920 → checkpoint-1120}/optimizer.pt
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 677456319
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f357e3a7746ea0b898956a6af49e167ef4de7e3f21a078cc2b69b8e10897d48a
|
| 3 |
size 677456319
|
{checkpoint-920 → checkpoint-1120}/pytorch_model.bin
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 338796489
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:439fff3f0195842563eb3aa89f489b6ff04a54c8a2eba66acc052d3b09067053
|
| 3 |
size 338796489
|
{checkpoint-920 → checkpoint-1120}/rng_state.pth
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14575
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5fa82e5029947d761432f860668f719e0d4ae2d58c6587f9f85346d40d48fcef
|
| 3 |
size 14575
|
{checkpoint-920 → checkpoint-1120}/scheduler.pt
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 627
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f1d8625953c58e7e52ace85fe33d53ba80d420dfefc7328cc164b8fb5bfa3356
|
| 3 |
size 627
|
{checkpoint-920 → checkpoint-1120}/trainer_state.json
RENAMED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 0.
|
| 3 |
-
"best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/safety-utcustom-train-SF-RGB-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,
|
|
@@ -7090,11 +7090,1551 @@
|
|
| 7090 |
"eval_samples_per_second": 6.019,
|
| 7091 |
"eval_steps_per_second": 0.449,
|
| 7092 |
"step": 920
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 7093 |
}
|
| 7094 |
],
|
| 7095 |
-
"max_steps":
|
| 7096 |
-
"num_train_epochs":
|
| 7097 |
-
"total_flos":
|
| 7098 |
"trial_name": null,
|
| 7099 |
"trial_params": null
|
| 7100 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.23799440264701843,
|
| 3 |
+
"best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/safety-utcustom-train-SF-RGB-b5/checkpoint-1120",
|
| 4 |
+
"epoch": 101.81818181818181,
|
| 5 |
+
"global_step": 1120,
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
|
|
|
| 7090 |
"eval_samples_per_second": 6.019,
|
| 7091 |
"eval_steps_per_second": 0.449,
|
| 7092 |
"step": 920
|
| 7093 |
+
},
|
| 7094 |
+
{
|
| 7095 |
+
"epoch": 83.73,
|
| 7096 |
+
"learning_rate": 7.545691906005222e-07,
|
| 7097 |
+
"loss": 0.3124,
|
| 7098 |
+
"step": 921
|
| 7099 |
+
},
|
| 7100 |
+
{
|
| 7101 |
+
"epoch": 83.82,
|
| 7102 |
+
"learning_rate": 7.519582245430809e-07,
|
| 7103 |
+
"loss": 0.2825,
|
| 7104 |
+
"step": 922
|
| 7105 |
+
},
|
| 7106 |
+
{
|
| 7107 |
+
"epoch": 83.91,
|
| 7108 |
+
"learning_rate": 7.493472584856398e-07,
|
| 7109 |
+
"loss": 0.2987,
|
| 7110 |
+
"step": 923
|
| 7111 |
+
},
|
| 7112 |
+
{
|
| 7113 |
+
"epoch": 84.0,
|
| 7114 |
+
"learning_rate": 7.467362924281985e-07,
|
| 7115 |
+
"loss": 0.3105,
|
| 7116 |
+
"step": 924
|
| 7117 |
+
},
|
| 7118 |
+
{
|
| 7119 |
+
"epoch": 84.09,
|
| 7120 |
+
"learning_rate": 7.441253263707572e-07,
|
| 7121 |
+
"loss": 0.2889,
|
| 7122 |
+
"step": 925
|
| 7123 |
+
},
|
| 7124 |
+
{
|
| 7125 |
+
"epoch": 84.18,
|
| 7126 |
+
"learning_rate": 7.415143603133159e-07,
|
| 7127 |
+
"loss": 0.3116,
|
| 7128 |
+
"step": 926
|
| 7129 |
+
},
|
| 7130 |
+
{
|
| 7131 |
+
"epoch": 84.27,
|
| 7132 |
+
"learning_rate": 7.389033942558747e-07,
|
| 7133 |
+
"loss": 0.3094,
|
| 7134 |
+
"step": 927
|
| 7135 |
+
},
|
| 7136 |
+
{
|
| 7137 |
+
"epoch": 84.36,
|
| 7138 |
+
"learning_rate": 7.362924281984335e-07,
|
| 7139 |
+
"loss": 0.3213,
|
| 7140 |
+
"step": 928
|
| 7141 |
+
},
|
| 7142 |
+
{
|
| 7143 |
+
"epoch": 84.45,
|
| 7144 |
+
"learning_rate": 7.336814621409922e-07,
|
| 7145 |
+
"loss": 0.3122,
|
| 7146 |
+
"step": 929
|
| 7147 |
+
},
|
| 7148 |
+
{
|
| 7149 |
+
"epoch": 84.55,
|
| 7150 |
+
"learning_rate": 7.310704960835509e-07,
|
| 7151 |
+
"loss": 0.3171,
|
| 7152 |
+
"step": 930
|
| 7153 |
+
},
|
| 7154 |
+
{
|
| 7155 |
+
"epoch": 84.55,
|
| 7156 |
+
"eval_accuracy_safe": 0.6441841010636042,
|
| 7157 |
+
"eval_accuracy_unlabeled": NaN,
|
| 7158 |
+
"eval_accuracy_unsafe": 0.9887108982973504,
|
| 7159 |
+
"eval_iou_safe": 0.47137576040519213,
|
| 7160 |
+
"eval_iou_unlabeled": 0.0,
|
| 7161 |
+
"eval_iou_unsafe": 0.9781178068263727,
|
| 7162 |
+
"eval_loss": 0.27060091495513916,
|
| 7163 |
+
"eval_mean_accuracy": 0.8164474996804774,
|
| 7164 |
+
"eval_mean_iou": 0.4831645224105216,
|
| 7165 |
+
"eval_overall_accuracy": 0.9785341291285273,
|
| 7166 |
+
"eval_runtime": 10.3282,
|
| 7167 |
+
"eval_samples_per_second": 6.487,
|
| 7168 |
+
"eval_steps_per_second": 0.484,
|
| 7169 |
+
"step": 930
|
| 7170 |
+
},
|
| 7171 |
+
{
|
| 7172 |
+
"epoch": 84.64,
|
| 7173 |
+
"learning_rate": 7.284595300261096e-07,
|
| 7174 |
+
"loss": 0.2831,
|
| 7175 |
+
"step": 931
|
| 7176 |
+
},
|
| 7177 |
+
{
|
| 7178 |
+
"epoch": 84.73,
|
| 7179 |
+
"learning_rate": 7.258485639686684e-07,
|
| 7180 |
+
"loss": 0.3347,
|
| 7181 |
+
"step": 932
|
| 7182 |
+
},
|
| 7183 |
+
{
|
| 7184 |
+
"epoch": 84.82,
|
| 7185 |
+
"learning_rate": 7.232375979112272e-07,
|
| 7186 |
+
"loss": 0.3065,
|
| 7187 |
+
"step": 933
|
| 7188 |
+
},
|
| 7189 |
+
{
|
| 7190 |
+
"epoch": 84.91,
|
| 7191 |
+
"learning_rate": 7.206266318537859e-07,
|
| 7192 |
+
"loss": 0.3036,
|
| 7193 |
+
"step": 934
|
| 7194 |
+
},
|
| 7195 |
+
{
|
| 7196 |
+
"epoch": 85.0,
|
| 7197 |
+
"learning_rate": 7.180156657963447e-07,
|
| 7198 |
+
"loss": 0.3049,
|
| 7199 |
+
"step": 935
|
| 7200 |
+
},
|
| 7201 |
+
{
|
| 7202 |
+
"epoch": 85.09,
|
| 7203 |
+
"learning_rate": 7.154046997389033e-07,
|
| 7204 |
+
"loss": 0.3003,
|
| 7205 |
+
"step": 936
|
| 7206 |
+
},
|
| 7207 |
+
{
|
| 7208 |
+
"epoch": 85.18,
|
| 7209 |
+
"learning_rate": 7.127937336814622e-07,
|
| 7210 |
+
"loss": 0.3006,
|
| 7211 |
+
"step": 937
|
| 7212 |
+
},
|
| 7213 |
+
{
|
| 7214 |
+
"epoch": 85.27,
|
| 7215 |
+
"learning_rate": 7.101827676240209e-07,
|
| 7216 |
+
"loss": 0.284,
|
| 7217 |
+
"step": 938
|
| 7218 |
+
},
|
| 7219 |
+
{
|
| 7220 |
+
"epoch": 85.36,
|
| 7221 |
+
"learning_rate": 7.075718015665797e-07,
|
| 7222 |
+
"loss": 0.3199,
|
| 7223 |
+
"step": 939
|
| 7224 |
+
},
|
| 7225 |
+
{
|
| 7226 |
+
"epoch": 85.45,
|
| 7227 |
+
"learning_rate": 7.049608355091384e-07,
|
| 7228 |
+
"loss": 0.3156,
|
| 7229 |
+
"step": 940
|
| 7230 |
+
},
|
| 7231 |
+
{
|
| 7232 |
+
"epoch": 85.45,
|
| 7233 |
+
"eval_accuracy_safe": 0.6320773628474833,
|
| 7234 |
+
"eval_accuracy_unlabeled": NaN,
|
| 7235 |
+
"eval_accuracy_unsafe": 0.9898702516878123,
|
| 7236 |
+
"eval_iou_safe": 0.4757064376163252,
|
| 7237 |
+
"eval_iou_unlabeled": 0.0,
|
| 7238 |
+
"eval_iou_unsafe": 0.9789079344104102,
|
| 7239 |
+
"eval_loss": 0.2708066403865814,
|
| 7240 |
+
"eval_mean_accuracy": 0.8109738072676478,
|
| 7241 |
+
"eval_mean_iou": 0.4848714573422452,
|
| 7242 |
+
"eval_overall_accuracy": 0.979301623444059,
|
| 7243 |
+
"eval_runtime": 9.3749,
|
| 7244 |
+
"eval_samples_per_second": 7.147,
|
| 7245 |
+
"eval_steps_per_second": 0.533,
|
| 7246 |
+
"step": 940
|
| 7247 |
+
},
|
| 7248 |
+
{
|
| 7249 |
+
"epoch": 85.55,
|
| 7250 |
+
"learning_rate": 7.023498694516971e-07,
|
| 7251 |
+
"loss": 0.2918,
|
| 7252 |
+
"step": 941
|
| 7253 |
+
},
|
| 7254 |
+
{
|
| 7255 |
+
"epoch": 85.64,
|
| 7256 |
+
"learning_rate": 6.997389033942559e-07,
|
| 7257 |
+
"loss": 0.2911,
|
| 7258 |
+
"step": 942
|
| 7259 |
+
},
|
| 7260 |
+
{
|
| 7261 |
+
"epoch": 85.73,
|
| 7262 |
+
"learning_rate": 6.971279373368146e-07,
|
| 7263 |
+
"loss": 0.315,
|
| 7264 |
+
"step": 943
|
| 7265 |
+
},
|
| 7266 |
+
{
|
| 7267 |
+
"epoch": 85.82,
|
| 7268 |
+
"learning_rate": 6.945169712793734e-07,
|
| 7269 |
+
"loss": 0.2923,
|
| 7270 |
+
"step": 944
|
| 7271 |
+
},
|
| 7272 |
+
{
|
| 7273 |
+
"epoch": 85.91,
|
| 7274 |
+
"learning_rate": 6.919060052219321e-07,
|
| 7275 |
+
"loss": 0.3048,
|
| 7276 |
+
"step": 945
|
| 7277 |
+
},
|
| 7278 |
+
{
|
| 7279 |
+
"epoch": 86.0,
|
| 7280 |
+
"learning_rate": 6.89295039164491e-07,
|
| 7281 |
+
"loss": 0.2949,
|
| 7282 |
+
"step": 946
|
| 7283 |
+
},
|
| 7284 |
+
{
|
| 7285 |
+
"epoch": 86.09,
|
| 7286 |
+
"learning_rate": 6.866840731070496e-07,
|
| 7287 |
+
"loss": 0.2835,
|
| 7288 |
+
"step": 947
|
| 7289 |
+
},
|
| 7290 |
+
{
|
| 7291 |
+
"epoch": 86.18,
|
| 7292 |
+
"learning_rate": 6.840731070496084e-07,
|
| 7293 |
+
"loss": 0.3182,
|
| 7294 |
+
"step": 948
|
| 7295 |
+
},
|
| 7296 |
+
{
|
| 7297 |
+
"epoch": 86.27,
|
| 7298 |
+
"learning_rate": 6.814621409921671e-07,
|
| 7299 |
+
"loss": 0.2974,
|
| 7300 |
+
"step": 949
|
| 7301 |
+
},
|
| 7302 |
+
{
|
| 7303 |
+
"epoch": 86.36,
|
| 7304 |
+
"learning_rate": 6.788511749347258e-07,
|
| 7305 |
+
"loss": 0.2749,
|
| 7306 |
+
"step": 950
|
| 7307 |
+
},
|
| 7308 |
+
{
|
| 7309 |
+
"epoch": 86.36,
|
| 7310 |
+
"eval_accuracy_safe": 0.6518093607966045,
|
| 7311 |
+
"eval_accuracy_unlabeled": NaN,
|
| 7312 |
+
"eval_accuracy_unsafe": 0.9886810358978896,
|
| 7313 |
+
"eval_iou_safe": 0.4765481543905536,
|
| 7314 |
+
"eval_iou_unlabeled": 0.0,
|
| 7315 |
+
"eval_iou_unsafe": 0.9783128350267929,
|
| 7316 |
+
"eval_loss": 0.2760426700115204,
|
| 7317 |
+
"eval_mean_accuracy": 0.820245198347247,
|
| 7318 |
+
"eval_mean_iou": 0.48495366313911553,
|
| 7319 |
+
"eval_overall_accuracy": 0.9787303867624767,
|
| 7320 |
+
"eval_runtime": 9.6435,
|
| 7321 |
+
"eval_samples_per_second": 6.948,
|
| 7322 |
+
"eval_steps_per_second": 0.518,
|
| 7323 |
+
"step": 950
|
| 7324 |
+
},
|
| 7325 |
+
{
|
| 7326 |
+
"epoch": 86.45,
|
| 7327 |
+
"learning_rate": 6.762402088772847e-07,
|
| 7328 |
+
"loss": 0.319,
|
| 7329 |
+
"step": 951
|
| 7330 |
+
},
|
| 7331 |
+
{
|
| 7332 |
+
"epoch": 86.55,
|
| 7333 |
+
"learning_rate": 6.736292428198434e-07,
|
| 7334 |
+
"loss": 0.2734,
|
| 7335 |
+
"step": 952
|
| 7336 |
+
},
|
| 7337 |
+
{
|
| 7338 |
+
"epoch": 86.64,
|
| 7339 |
+
"learning_rate": 6.710182767624021e-07,
|
| 7340 |
+
"loss": 0.2848,
|
| 7341 |
+
"step": 953
|
| 7342 |
+
},
|
| 7343 |
+
{
|
| 7344 |
+
"epoch": 86.73,
|
| 7345 |
+
"learning_rate": 6.684073107049608e-07,
|
| 7346 |
+
"loss": 0.2765,
|
| 7347 |
+
"step": 954
|
| 7348 |
+
},
|
| 7349 |
+
{
|
| 7350 |
+
"epoch": 86.82,
|
| 7351 |
+
"learning_rate": 6.657963446475195e-07,
|
| 7352 |
+
"loss": 0.2782,
|
| 7353 |
+
"step": 955
|
| 7354 |
+
},
|
| 7355 |
+
{
|
| 7356 |
+
"epoch": 86.91,
|
| 7357 |
+
"learning_rate": 6.631853785900784e-07,
|
| 7358 |
+
"loss": 0.2816,
|
| 7359 |
+
"step": 956
|
| 7360 |
+
},
|
| 7361 |
+
{
|
| 7362 |
+
"epoch": 87.0,
|
| 7363 |
+
"learning_rate": 6.605744125326371e-07,
|
| 7364 |
+
"loss": 0.3259,
|
| 7365 |
+
"step": 957
|
| 7366 |
+
},
|
| 7367 |
+
{
|
| 7368 |
+
"epoch": 87.09,
|
| 7369 |
+
"learning_rate": 6.579634464751959e-07,
|
| 7370 |
+
"loss": 0.2913,
|
| 7371 |
+
"step": 958
|
| 7372 |
+
},
|
| 7373 |
+
{
|
| 7374 |
+
"epoch": 87.18,
|
| 7375 |
+
"learning_rate": 6.553524804177545e-07,
|
| 7376 |
+
"loss": 0.2994,
|
| 7377 |
+
"step": 959
|
| 7378 |
+
},
|
| 7379 |
+
{
|
| 7380 |
+
"epoch": 87.27,
|
| 7381 |
+
"learning_rate": 6.527415143603134e-07,
|
| 7382 |
+
"loss": 0.2725,
|
| 7383 |
+
"step": 960
|
| 7384 |
+
},
|
| 7385 |
+
{
|
| 7386 |
+
"epoch": 87.27,
|
| 7387 |
+
"eval_accuracy_safe": 0.6680833921226209,
|
| 7388 |
+
"eval_accuracy_unlabeled": NaN,
|
| 7389 |
+
"eval_accuracy_unsafe": 0.9876196006699034,
|
| 7390 |
+
"eval_iou_safe": 0.4764950831797042,
|
| 7391 |
+
"eval_iou_unlabeled": 0.0,
|
| 7392 |
+
"eval_iou_unsafe": 0.9777417669524591,
|
| 7393 |
+
"eval_loss": 0.2780168652534485,
|
| 7394 |
+
"eval_mean_accuracy": 0.8278514963962622,
|
| 7395 |
+
"eval_mean_iou": 0.4847456167107211,
|
| 7396 |
+
"eval_overall_accuracy": 0.9781810134204466,
|
| 7397 |
+
"eval_runtime": 10.2148,
|
| 7398 |
+
"eval_samples_per_second": 6.559,
|
| 7399 |
+
"eval_steps_per_second": 0.489,
|
| 7400 |
+
"step": 960
|
| 7401 |
+
},
|
| 7402 |
+
{
|
| 7403 |
+
"epoch": 87.36,
|
| 7404 |
+
"learning_rate": 6.501305483028721e-07,
|
| 7405 |
+
"loss": 0.2836,
|
| 7406 |
+
"step": 961
|
| 7407 |
+
},
|
| 7408 |
+
{
|
| 7409 |
+
"epoch": 87.45,
|
| 7410 |
+
"learning_rate": 6.475195822454308e-07,
|
| 7411 |
+
"loss": 0.2821,
|
| 7412 |
+
"step": 962
|
| 7413 |
+
},
|
| 7414 |
+
{
|
| 7415 |
+
"epoch": 87.55,
|
| 7416 |
+
"learning_rate": 6.449086161879896e-07,
|
| 7417 |
+
"loss": 0.3042,
|
| 7418 |
+
"step": 963
|
| 7419 |
+
},
|
| 7420 |
+
{
|
| 7421 |
+
"epoch": 87.64,
|
| 7422 |
+
"learning_rate": 6.422976501305482e-07,
|
| 7423 |
+
"loss": 0.3242,
|
| 7424 |
+
"step": 964
|
| 7425 |
+
},
|
| 7426 |
+
{
|
| 7427 |
+
"epoch": 87.73,
|
| 7428 |
+
"learning_rate": 6.396866840731071e-07,
|
| 7429 |
+
"loss": 0.2735,
|
| 7430 |
+
"step": 965
|
| 7431 |
+
},
|
| 7432 |
+
{
|
| 7433 |
+
"epoch": 87.82,
|
| 7434 |
+
"learning_rate": 6.370757180156658e-07,
|
| 7435 |
+
"loss": 0.3072,
|
| 7436 |
+
"step": 966
|
| 7437 |
+
},
|
| 7438 |
+
{
|
| 7439 |
+
"epoch": 87.91,
|
| 7440 |
+
"learning_rate": 6.344647519582246e-07,
|
| 7441 |
+
"loss": 0.2815,
|
| 7442 |
+
"step": 967
|
| 7443 |
+
},
|
| 7444 |
+
{
|
| 7445 |
+
"epoch": 88.0,
|
| 7446 |
+
"learning_rate": 6.318537859007833e-07,
|
| 7447 |
+
"loss": 0.3286,
|
| 7448 |
+
"step": 968
|
| 7449 |
+
},
|
| 7450 |
+
{
|
| 7451 |
+
"epoch": 88.09,
|
| 7452 |
+
"learning_rate": 6.29242819843342e-07,
|
| 7453 |
+
"loss": 0.2896,
|
| 7454 |
+
"step": 969
|
| 7455 |
+
},
|
| 7456 |
+
{
|
| 7457 |
+
"epoch": 88.18,
|
| 7458 |
+
"learning_rate": 6.266318537859008e-07,
|
| 7459 |
+
"loss": 0.2948,
|
| 7460 |
+
"step": 970
|
| 7461 |
+
},
|
| 7462 |
+
{
|
| 7463 |
+
"epoch": 88.18,
|
| 7464 |
+
"eval_accuracy_safe": 0.6564527507604057,
|
| 7465 |
+
"eval_accuracy_unlabeled": NaN,
|
| 7466 |
+
"eval_accuracy_unsafe": 0.989077226042406,
|
| 7467 |
+
"eval_iou_safe": 0.4845336330525837,
|
| 7468 |
+
"eval_iou_unlabeled": 0.0,
|
| 7469 |
+
"eval_iou_unsafe": 0.9788417622656205,
|
| 7470 |
+
"eval_loss": 0.26358866691589355,
|
| 7471 |
+
"eval_mean_accuracy": 0.8227649884014059,
|
| 7472 |
+
"eval_mean_iou": 0.48779179843940135,
|
| 7473 |
+
"eval_overall_accuracy": 0.9792520323796059,
|
| 7474 |
+
"eval_runtime": 10.7789,
|
| 7475 |
+
"eval_samples_per_second": 6.216,
|
| 7476 |
+
"eval_steps_per_second": 0.464,
|
| 7477 |
+
"step": 970
|
| 7478 |
+
},
|
| 7479 |
+
{
|
| 7480 |
+
"epoch": 88.27,
|
| 7481 |
+
"learning_rate": 6.240208877284595e-07,
|
| 7482 |
+
"loss": 0.3121,
|
| 7483 |
+
"step": 971
|
| 7484 |
+
},
|
| 7485 |
+
{
|
| 7486 |
+
"epoch": 88.36,
|
| 7487 |
+
"learning_rate": 6.214099216710183e-07,
|
| 7488 |
+
"loss": 0.2941,
|
| 7489 |
+
"step": 972
|
| 7490 |
+
},
|
| 7491 |
+
{
|
| 7492 |
+
"epoch": 88.45,
|
| 7493 |
+
"learning_rate": 6.18798955613577e-07,
|
| 7494 |
+
"loss": 0.2852,
|
| 7495 |
+
"step": 973
|
| 7496 |
+
},
|
| 7497 |
+
{
|
| 7498 |
+
"epoch": 88.55,
|
| 7499 |
+
"learning_rate": 6.161879895561358e-07,
|
| 7500 |
+
"loss": 0.2894,
|
| 7501 |
+
"step": 974
|
| 7502 |
+
},
|
| 7503 |
+
{
|
| 7504 |
+
"epoch": 88.64,
|
| 7505 |
+
"learning_rate": 6.135770234986946e-07,
|
| 7506 |
+
"loss": 0.3066,
|
| 7507 |
+
"step": 975
|
| 7508 |
+
},
|
| 7509 |
+
{
|
| 7510 |
+
"epoch": 88.73,
|
| 7511 |
+
"learning_rate": 6.109660574412532e-07,
|
| 7512 |
+
"loss": 0.2867,
|
| 7513 |
+
"step": 976
|
| 7514 |
+
},
|
| 7515 |
+
{
|
| 7516 |
+
"epoch": 88.82,
|
| 7517 |
+
"learning_rate": 6.08355091383812e-07,
|
| 7518 |
+
"loss": 0.2914,
|
| 7519 |
+
"step": 977
|
| 7520 |
+
},
|
| 7521 |
+
{
|
| 7522 |
+
"epoch": 88.91,
|
| 7523 |
+
"learning_rate": 6.057441253263707e-07,
|
| 7524 |
+
"loss": 0.2741,
|
| 7525 |
+
"step": 978
|
| 7526 |
+
},
|
| 7527 |
+
{
|
| 7528 |
+
"epoch": 89.0,
|
| 7529 |
+
"learning_rate": 6.031331592689296e-07,
|
| 7530 |
+
"loss": 0.3029,
|
| 7531 |
+
"step": 979
|
| 7532 |
+
},
|
| 7533 |
+
{
|
| 7534 |
+
"epoch": 89.09,
|
| 7535 |
+
"learning_rate": 6.005221932114883e-07,
|
| 7536 |
+
"loss": 0.2972,
|
| 7537 |
+
"step": 980
|
| 7538 |
+
},
|
| 7539 |
+
{
|
| 7540 |
+
"epoch": 89.09,
|
| 7541 |
+
"eval_accuracy_safe": 0.6722256275033636,
|
| 7542 |
+
"eval_accuracy_unlabeled": NaN,
|
| 7543 |
+
"eval_accuracy_unsafe": 0.9879379373682813,
|
| 7544 |
+
"eval_iou_safe": 0.48294905349452316,
|
| 7545 |
+
"eval_iou_unlabeled": 0.0,
|
| 7546 |
+
"eval_iou_unsafe": 0.9781790142676435,
|
| 7547 |
+
"eval_loss": 0.2769739031791687,
|
| 7548 |
+
"eval_mean_accuracy": 0.8300817824358224,
|
| 7549 |
+
"eval_mean_iou": 0.4870426892540556,
|
| 7550 |
+
"eval_overall_accuracy": 0.9786123019545826,
|
| 7551 |
+
"eval_runtime": 10.5252,
|
| 7552 |
+
"eval_samples_per_second": 6.366,
|
| 7553 |
+
"eval_steps_per_second": 0.475,
|
| 7554 |
+
"step": 980
|
| 7555 |
+
},
|
| 7556 |
+
{
|
| 7557 |
+
"epoch": 89.18,
|
| 7558 |
+
"learning_rate": 5.97911227154047e-07,
|
| 7559 |
+
"loss": 0.2912,
|
| 7560 |
+
"step": 981
|
| 7561 |
+
},
|
| 7562 |
+
{
|
| 7563 |
+
"epoch": 89.27,
|
| 7564 |
+
"learning_rate": 5.953002610966057e-07,
|
| 7565 |
+
"loss": 0.3064,
|
| 7566 |
+
"step": 982
|
| 7567 |
+
},
|
| 7568 |
+
{
|
| 7569 |
+
"epoch": 89.36,
|
| 7570 |
+
"learning_rate": 5.926892950391645e-07,
|
| 7571 |
+
"loss": 0.2837,
|
| 7572 |
+
"step": 983
|
| 7573 |
+
},
|
| 7574 |
+
{
|
| 7575 |
+
"epoch": 89.45,
|
| 7576 |
+
"learning_rate": 5.900783289817233e-07,
|
| 7577 |
+
"loss": 0.2857,
|
| 7578 |
+
"step": 984
|
| 7579 |
+
},
|
| 7580 |
+
{
|
| 7581 |
+
"epoch": 89.55,
|
| 7582 |
+
"learning_rate": 5.87467362924282e-07,
|
| 7583 |
+
"loss": 0.2545,
|
| 7584 |
+
"step": 985
|
| 7585 |
+
},
|
| 7586 |
+
{
|
| 7587 |
+
"epoch": 89.64,
|
| 7588 |
+
"learning_rate": 5.848563968668408e-07,
|
| 7589 |
+
"loss": 0.2777,
|
| 7590 |
+
"step": 986
|
| 7591 |
+
},
|
| 7592 |
+
{
|
| 7593 |
+
"epoch": 89.73,
|
| 7594 |
+
"learning_rate": 5.822454308093994e-07,
|
| 7595 |
+
"loss": 0.292,
|
| 7596 |
+
"step": 987
|
| 7597 |
+
},
|
| 7598 |
+
{
|
| 7599 |
+
"epoch": 89.82,
|
| 7600 |
+
"learning_rate": 5.796344647519583e-07,
|
| 7601 |
+
"loss": 0.3179,
|
| 7602 |
+
"step": 988
|
| 7603 |
+
},
|
| 7604 |
+
{
|
| 7605 |
+
"epoch": 89.91,
|
| 7606 |
+
"learning_rate": 5.77023498694517e-07,
|
| 7607 |
+
"loss": 0.2939,
|
| 7608 |
+
"step": 989
|
| 7609 |
+
},
|
| 7610 |
+
{
|
| 7611 |
+
"epoch": 90.0,
|
| 7612 |
+
"learning_rate": 5.744125326370757e-07,
|
| 7613 |
+
"loss": 0.3101,
|
| 7614 |
+
"step": 990
|
| 7615 |
+
},
|
| 7616 |
+
{
|
| 7617 |
+
"epoch": 90.0,
|
| 7618 |
+
"eval_accuracy_safe": 0.6711462176321602,
|
| 7619 |
+
"eval_accuracy_unlabeled": NaN,
|
| 7620 |
+
"eval_accuracy_unsafe": 0.9881590599293182,
|
| 7621 |
+
"eval_iou_safe": 0.4859155224409652,
|
| 7622 |
+
"eval_iou_unlabeled": 0.0,
|
| 7623 |
+
"eval_iou_unsafe": 0.9783666378224161,
|
| 7624 |
+
"eval_loss": 0.27649641036987305,
|
| 7625 |
+
"eval_mean_accuracy": 0.8296526387807392,
|
| 7626 |
+
"eval_mean_iou": 0.4880940534211271,
|
| 7627 |
+
"eval_overall_accuracy": 0.978795008872872,
|
| 7628 |
+
"eval_runtime": 9.7226,
|
| 7629 |
+
"eval_samples_per_second": 6.891,
|
| 7630 |
+
"eval_steps_per_second": 0.514,
|
| 7631 |
+
"step": 990
|
| 7632 |
+
},
|
| 7633 |
+
{
|
| 7634 |
+
"epoch": 90.09,
|
| 7635 |
+
"learning_rate": 5.718015665796345e-07,
|
| 7636 |
+
"loss": 0.297,
|
| 7637 |
+
"step": 991
|
| 7638 |
+
},
|
| 7639 |
+
{
|
| 7640 |
+
"epoch": 90.18,
|
| 7641 |
+
"learning_rate": 5.691906005221933e-07,
|
| 7642 |
+
"loss": 0.288,
|
| 7643 |
+
"step": 992
|
| 7644 |
+
},
|
| 7645 |
+
{
|
| 7646 |
+
"epoch": 90.27,
|
| 7647 |
+
"learning_rate": 5.66579634464752e-07,
|
| 7648 |
+
"loss": 0.2584,
|
| 7649 |
+
"step": 993
|
| 7650 |
+
},
|
| 7651 |
+
{
|
| 7652 |
+
"epoch": 90.36,
|
| 7653 |
+
"learning_rate": 5.639686684073107e-07,
|
| 7654 |
+
"loss": 0.2859,
|
| 7655 |
+
"step": 994
|
| 7656 |
+
},
|
| 7657 |
+
{
|
| 7658 |
+
"epoch": 90.45,
|
| 7659 |
+
"learning_rate": 5.613577023498694e-07,
|
| 7660 |
+
"loss": 0.279,
|
| 7661 |
+
"step": 995
|
| 7662 |
+
},
|
| 7663 |
+
{
|
| 7664 |
+
"epoch": 90.55,
|
| 7665 |
+
"learning_rate": 5.587467362924282e-07,
|
| 7666 |
+
"loss": 0.2944,
|
| 7667 |
+
"step": 996
|
| 7668 |
+
},
|
| 7669 |
+
{
|
| 7670 |
+
"epoch": 90.64,
|
| 7671 |
+
"learning_rate": 5.56135770234987e-07,
|
| 7672 |
+
"loss": 0.2943,
|
| 7673 |
+
"step": 997
|
| 7674 |
+
},
|
| 7675 |
+
{
|
| 7676 |
+
"epoch": 90.73,
|
| 7677 |
+
"learning_rate": 5.535248041775457e-07,
|
| 7678 |
+
"loss": 0.2939,
|
| 7679 |
+
"step": 998
|
| 7680 |
+
},
|
| 7681 |
+
{
|
| 7682 |
+
"epoch": 90.82,
|
| 7683 |
+
"learning_rate": 5.509138381201044e-07,
|
| 7684 |
+
"loss": 0.2731,
|
| 7685 |
+
"step": 999
|
| 7686 |
+
},
|
| 7687 |
+
{
|
| 7688 |
+
"epoch": 90.91,
|
| 7689 |
+
"learning_rate": 5.483028720626632e-07,
|
| 7690 |
+
"loss": 0.2874,
|
| 7691 |
+
"step": 1000
|
| 7692 |
+
},
|
| 7693 |
+
{
|
| 7694 |
+
"epoch": 90.91,
|
| 7695 |
+
"eval_accuracy_safe": 0.6689314998785664,
|
| 7696 |
+
"eval_accuracy_unlabeled": NaN,
|
| 7697 |
+
"eval_accuracy_unsafe": 0.9887533744804734,
|
| 7698 |
+
"eval_iou_safe": 0.4898762051296529,
|
| 7699 |
+
"eval_iou_unlabeled": 0.0,
|
| 7700 |
+
"eval_iou_unsafe": 0.9788892177058136,
|
| 7701 |
+
"eval_loss": 0.2690369188785553,
|
| 7702 |
+
"eval_mean_accuracy": 0.8288424371795199,
|
| 7703 |
+
"eval_mean_iou": 0.48958847427848884,
|
| 7704 |
+
"eval_overall_accuracy": 0.979306349113806,
|
| 7705 |
+
"eval_runtime": 12.0357,
|
| 7706 |
+
"eval_samples_per_second": 5.567,
|
| 7707 |
+
"eval_steps_per_second": 0.415,
|
| 7708 |
+
"step": 1000
|
| 7709 |
+
},
|
| 7710 |
+
{
|
| 7711 |
+
"epoch": 91.0,
|
| 7712 |
+
"learning_rate": 5.45691906005222e-07,
|
| 7713 |
+
"loss": 0.2744,
|
| 7714 |
+
"step": 1001
|
| 7715 |
+
},
|
| 7716 |
+
{
|
| 7717 |
+
"epoch": 91.09,
|
| 7718 |
+
"learning_rate": 5.430809399477807e-07,
|
| 7719 |
+
"loss": 0.2804,
|
| 7720 |
+
"step": 1002
|
| 7721 |
+
},
|
| 7722 |
+
{
|
| 7723 |
+
"epoch": 91.18,
|
| 7724 |
+
"learning_rate": 5.404699738903395e-07,
|
| 7725 |
+
"loss": 0.3046,
|
| 7726 |
+
"step": 1003
|
| 7727 |
+
},
|
| 7728 |
+
{
|
| 7729 |
+
"epoch": 91.27,
|
| 7730 |
+
"learning_rate": 5.378590078328981e-07,
|
| 7731 |
+
"loss": 0.2818,
|
| 7732 |
+
"step": 1004
|
| 7733 |
+
},
|
| 7734 |
+
{
|
| 7735 |
+
"epoch": 91.36,
|
| 7736 |
+
"learning_rate": 5.352480417754569e-07,
|
| 7737 |
+
"loss": 0.2463,
|
| 7738 |
+
"step": 1005
|
| 7739 |
+
},
|
| 7740 |
+
{
|
| 7741 |
+
"epoch": 91.45,
|
| 7742 |
+
"learning_rate": 5.326370757180157e-07,
|
| 7743 |
+
"loss": 0.2533,
|
| 7744 |
+
"step": 1006
|
| 7745 |
+
},
|
| 7746 |
+
{
|
| 7747 |
+
"epoch": 91.55,
|
| 7748 |
+
"learning_rate": 5.300261096605745e-07,
|
| 7749 |
+
"loss": 0.2837,
|
| 7750 |
+
"step": 1007
|
| 7751 |
+
},
|
| 7752 |
+
{
|
| 7753 |
+
"epoch": 91.64,
|
| 7754 |
+
"learning_rate": 5.274151436031332e-07,
|
| 7755 |
+
"loss": 0.276,
|
| 7756 |
+
"step": 1008
|
| 7757 |
+
},
|
| 7758 |
+
{
|
| 7759 |
+
"epoch": 91.73,
|
| 7760 |
+
"learning_rate": 5.248041775456919e-07,
|
| 7761 |
+
"loss": 0.2684,
|
| 7762 |
+
"step": 1009
|
| 7763 |
+
},
|
| 7764 |
+
{
|
| 7765 |
+
"epoch": 91.82,
|
| 7766 |
+
"learning_rate": 5.221932114882506e-07,
|
| 7767 |
+
"loss": 0.275,
|
| 7768 |
+
"step": 1010
|
| 7769 |
+
},
|
| 7770 |
+
{
|
| 7771 |
+
"epoch": 91.82,
|
| 7772 |
+
"eval_accuracy_safe": 0.6541802074779974,
|
| 7773 |
+
"eval_accuracy_unlabeled": NaN,
|
| 7774 |
+
"eval_accuracy_unsafe": 0.9901128470154555,
|
| 7775 |
+
"eval_iou_safe": 0.4947347245788654,
|
| 7776 |
+
"eval_iou_unlabeled": 0.0,
|
| 7777 |
+
"eval_iou_unsafe": 0.9797995942698954,
|
| 7778 |
+
"eval_loss": 0.2592916190624237,
|
| 7779 |
+
"eval_mean_accuracy": 0.8221465272467265,
|
| 7780 |
+
"eval_mean_iou": 0.4915114396162536,
|
| 7781 |
+
"eval_overall_accuracy": 0.9801899354849288,
|
| 7782 |
+
"eval_runtime": 12.6805,
|
| 7783 |
+
"eval_samples_per_second": 5.284,
|
| 7784 |
+
"eval_steps_per_second": 0.394,
|
| 7785 |
+
"step": 1010
|
| 7786 |
+
},
|
| 7787 |
+
{
|
| 7788 |
+
"epoch": 91.91,
|
| 7789 |
+
"learning_rate": 5.195822454308094e-07,
|
| 7790 |
+
"loss": 0.2927,
|
| 7791 |
+
"step": 1011
|
| 7792 |
+
},
|
| 7793 |
+
{
|
| 7794 |
+
"epoch": 92.0,
|
| 7795 |
+
"learning_rate": 5.169712793733682e-07,
|
| 7796 |
+
"loss": 0.3249,
|
| 7797 |
+
"step": 1012
|
| 7798 |
+
},
|
| 7799 |
+
{
|
| 7800 |
+
"epoch": 92.09,
|
| 7801 |
+
"learning_rate": 5.143603133159269e-07,
|
| 7802 |
+
"loss": 0.2613,
|
| 7803 |
+
"step": 1013
|
| 7804 |
+
},
|
| 7805 |
+
{
|
| 7806 |
+
"epoch": 92.18,
|
| 7807 |
+
"learning_rate": 5.117493472584857e-07,
|
| 7808 |
+
"loss": 0.2562,
|
| 7809 |
+
"step": 1014
|
| 7810 |
+
},
|
| 7811 |
+
{
|
| 7812 |
+
"epoch": 92.27,
|
| 7813 |
+
"learning_rate": 5.091383812010444e-07,
|
| 7814 |
+
"loss": 0.283,
|
| 7815 |
+
"step": 1015
|
| 7816 |
+
},
|
| 7817 |
+
{
|
| 7818 |
+
"epoch": 92.36,
|
| 7819 |
+
"learning_rate": 5.065274151436031e-07,
|
| 7820 |
+
"loss": 0.2957,
|
| 7821 |
+
"step": 1016
|
| 7822 |
+
},
|
| 7823 |
+
{
|
| 7824 |
+
"epoch": 92.45,
|
| 7825 |
+
"learning_rate": 5.039164490861619e-07,
|
| 7826 |
+
"loss": 0.2785,
|
| 7827 |
+
"step": 1017
|
| 7828 |
+
},
|
| 7829 |
+
{
|
| 7830 |
+
"epoch": 92.55,
|
| 7831 |
+
"learning_rate": 5.013054830287206e-07,
|
| 7832 |
+
"loss": 0.2555,
|
| 7833 |
+
"step": 1018
|
| 7834 |
+
},
|
| 7835 |
+
{
|
| 7836 |
+
"epoch": 92.64,
|
| 7837 |
+
"learning_rate": 4.986945169712794e-07,
|
| 7838 |
+
"loss": 0.2776,
|
| 7839 |
+
"step": 1019
|
| 7840 |
+
},
|
| 7841 |
+
{
|
| 7842 |
+
"epoch": 92.73,
|
| 7843 |
+
"learning_rate": 4.960835509138382e-07,
|
| 7844 |
+
"loss": 0.2711,
|
| 7845 |
+
"step": 1020
|
| 7846 |
+
},
|
| 7847 |
+
{
|
| 7848 |
+
"epoch": 92.73,
|
| 7849 |
+
"eval_accuracy_safe": 0.6672584145782013,
|
| 7850 |
+
"eval_accuracy_unlabeled": NaN,
|
| 7851 |
+
"eval_accuracy_unsafe": 0.9893351339167277,
|
| 7852 |
+
"eval_iou_safe": 0.49565376756999,
|
| 7853 |
+
"eval_iou_unlabeled": 0.0,
|
| 7854 |
+
"eval_iou_unsafe": 0.9794157946407118,
|
| 7855 |
+
"eval_loss": 0.26075512170791626,
|
| 7856 |
+
"eval_mean_accuracy": 0.8282967742474645,
|
| 7857 |
+
"eval_mean_iou": 0.49168985407023397,
|
| 7858 |
+
"eval_overall_accuracy": 0.9798215040520056,
|
| 7859 |
+
"eval_runtime": 11.1156,
|
| 7860 |
+
"eval_samples_per_second": 6.028,
|
| 7861 |
+
"eval_steps_per_second": 0.45,
|
| 7862 |
+
"step": 1020
|
| 7863 |
+
},
|
| 7864 |
+
{
|
| 7865 |
+
"epoch": 92.82,
|
| 7866 |
+
"learning_rate": 4.934725848563969e-07,
|
| 7867 |
+
"loss": 0.2631,
|
| 7868 |
+
"step": 1021
|
| 7869 |
+
},
|
| 7870 |
+
{
|
| 7871 |
+
"epoch": 92.91,
|
| 7872 |
+
"learning_rate": 4.908616187989556e-07,
|
| 7873 |
+
"loss": 0.2891,
|
| 7874 |
+
"step": 1022
|
| 7875 |
+
},
|
| 7876 |
+
{
|
| 7877 |
+
"epoch": 93.0,
|
| 7878 |
+
"learning_rate": 4.882506527415143e-07,
|
| 7879 |
+
"loss": 0.3368,
|
| 7880 |
+
"step": 1023
|
| 7881 |
+
},
|
| 7882 |
+
{
|
| 7883 |
+
"epoch": 93.09,
|
| 7884 |
+
"learning_rate": 4.856396866840732e-07,
|
| 7885 |
+
"loss": 0.2506,
|
| 7886 |
+
"step": 1024
|
| 7887 |
+
},
|
| 7888 |
+
{
|
| 7889 |
+
"epoch": 93.18,
|
| 7890 |
+
"learning_rate": 4.830287206266319e-07,
|
| 7891 |
+
"loss": 0.2542,
|
| 7892 |
+
"step": 1025
|
| 7893 |
+
},
|
| 7894 |
+
{
|
| 7895 |
+
"epoch": 93.27,
|
| 7896 |
+
"learning_rate": 4.804177545691907e-07,
|
| 7897 |
+
"loss": 0.2926,
|
| 7898 |
+
"step": 1026
|
| 7899 |
+
},
|
| 7900 |
+
{
|
| 7901 |
+
"epoch": 93.36,
|
| 7902 |
+
"learning_rate": 4.778067885117493e-07,
|
| 7903 |
+
"loss": 0.2756,
|
| 7904 |
+
"step": 1027
|
| 7905 |
+
},
|
| 7906 |
+
{
|
| 7907 |
+
"epoch": 93.45,
|
| 7908 |
+
"learning_rate": 4.751958224543081e-07,
|
| 7909 |
+
"loss": 0.2448,
|
| 7910 |
+
"step": 1028
|
| 7911 |
+
},
|
| 7912 |
+
{
|
| 7913 |
+
"epoch": 93.55,
|
| 7914 |
+
"learning_rate": 4.7258485639686686e-07,
|
| 7915 |
+
"loss": 0.3061,
|
| 7916 |
+
"step": 1029
|
| 7917 |
+
},
|
| 7918 |
+
{
|
| 7919 |
+
"epoch": 93.64,
|
| 7920 |
+
"learning_rate": 4.6997389033942563e-07,
|
| 7921 |
+
"loss": 0.2691,
|
| 7922 |
+
"step": 1030
|
| 7923 |
+
},
|
| 7924 |
+
{
|
| 7925 |
+
"epoch": 93.64,
|
| 7926 |
+
"eval_accuracy_safe": 0.6818844183330056,
|
| 7927 |
+
"eval_accuracy_unlabeled": NaN,
|
| 7928 |
+
"eval_accuracy_unsafe": 0.9884273521743757,
|
| 7929 |
+
"eval_iou_safe": 0.4954192037733101,
|
| 7930 |
+
"eval_iou_unlabeled": 0.0,
|
| 7931 |
+
"eval_iou_unsafe": 0.9789485519513931,
|
| 7932 |
+
"eval_loss": 0.2608976364135742,
|
| 7933 |
+
"eval_mean_accuracy": 0.8351558852536907,
|
| 7934 |
+
"eval_mean_iou": 0.49145591857490106,
|
| 7935 |
+
"eval_overall_accuracy": 0.9793725654260436,
|
| 7936 |
+
"eval_runtime": 9.5589,
|
| 7937 |
+
"eval_samples_per_second": 7.009,
|
| 7938 |
+
"eval_steps_per_second": 0.523,
|
| 7939 |
+
"step": 1030
|
| 7940 |
+
},
|
| 7941 |
+
{
|
| 7942 |
+
"epoch": 93.73,
|
| 7943 |
+
"learning_rate": 4.6736292428198435e-07,
|
| 7944 |
+
"loss": 0.2734,
|
| 7945 |
+
"step": 1031
|
| 7946 |
+
},
|
| 7947 |
+
{
|
| 7948 |
+
"epoch": 93.82,
|
| 7949 |
+
"learning_rate": 4.6475195822454307e-07,
|
| 7950 |
+
"loss": 0.2837,
|
| 7951 |
+
"step": 1032
|
| 7952 |
+
},
|
| 7953 |
+
{
|
| 7954 |
+
"epoch": 93.91,
|
| 7955 |
+
"learning_rate": 4.621409921671018e-07,
|
| 7956 |
+
"loss": 0.2912,
|
| 7957 |
+
"step": 1033
|
| 7958 |
+
},
|
| 7959 |
+
{
|
| 7960 |
+
"epoch": 94.0,
|
| 7961 |
+
"learning_rate": 4.5953002610966057e-07,
|
| 7962 |
+
"loss": 0.2975,
|
| 7963 |
+
"step": 1034
|
| 7964 |
+
},
|
| 7965 |
+
{
|
| 7966 |
+
"epoch": 94.09,
|
| 7967 |
+
"learning_rate": 4.5691906005221934e-07,
|
| 7968 |
+
"loss": 0.2788,
|
| 7969 |
+
"step": 1035
|
| 7970 |
+
},
|
| 7971 |
+
{
|
| 7972 |
+
"epoch": 94.18,
|
| 7973 |
+
"learning_rate": 4.543080939947781e-07,
|
| 7974 |
+
"loss": 0.3211,
|
| 7975 |
+
"step": 1036
|
| 7976 |
+
},
|
| 7977 |
+
{
|
| 7978 |
+
"epoch": 94.27,
|
| 7979 |
+
"learning_rate": 4.516971279373369e-07,
|
| 7980 |
+
"loss": 0.3114,
|
| 7981 |
+
"step": 1037
|
| 7982 |
+
},
|
| 7983 |
+
{
|
| 7984 |
+
"epoch": 94.36,
|
| 7985 |
+
"learning_rate": 4.4908616187989555e-07,
|
| 7986 |
+
"loss": 0.2451,
|
| 7987 |
+
"step": 1038
|
| 7988 |
+
},
|
| 7989 |
+
{
|
| 7990 |
+
"epoch": 94.45,
|
| 7991 |
+
"learning_rate": 4.464751958224543e-07,
|
| 7992 |
+
"loss": 0.3075,
|
| 7993 |
+
"step": 1039
|
| 7994 |
+
},
|
| 7995 |
+
{
|
| 7996 |
+
"epoch": 94.55,
|
| 7997 |
+
"learning_rate": 4.4386422976501305e-07,
|
| 7998 |
+
"loss": 0.274,
|
| 7999 |
+
"step": 1040
|
| 8000 |
+
},
|
| 8001 |
+
{
|
| 8002 |
+
"epoch": 94.55,
|
| 8003 |
+
"eval_accuracy_safe": 0.6722159899152278,
|
| 8004 |
+
"eval_accuracy_unlabeled": NaN,
|
| 8005 |
+
"eval_accuracy_unsafe": 0.9895092041312664,
|
| 8006 |
+
"eval_iou_safe": 0.5006991902601504,
|
| 8007 |
+
"eval_iou_unlabeled": 0.0,
|
| 8008 |
+
"eval_iou_unsafe": 0.9797344753826932,
|
| 8009 |
+
"eval_loss": 0.2541664242744446,
|
| 8010 |
+
"eval_mean_accuracy": 0.830862597023247,
|
| 8011 |
+
"eval_mean_iou": 0.49347788854761454,
|
| 8012 |
+
"eval_overall_accuracy": 0.9801368713378906,
|
| 8013 |
+
"eval_runtime": 10.6958,
|
| 8014 |
+
"eval_samples_per_second": 6.264,
|
| 8015 |
+
"eval_steps_per_second": 0.467,
|
| 8016 |
+
"step": 1040
|
| 8017 |
+
},
|
| 8018 |
+
{
|
| 8019 |
+
"epoch": 94.64,
|
| 8020 |
+
"learning_rate": 4.412532637075718e-07,
|
| 8021 |
+
"loss": 0.24,
|
| 8022 |
+
"step": 1041
|
| 8023 |
+
},
|
| 8024 |
+
{
|
| 8025 |
+
"epoch": 94.73,
|
| 8026 |
+
"learning_rate": 4.386422976501306e-07,
|
| 8027 |
+
"loss": 0.2447,
|
| 8028 |
+
"step": 1042
|
| 8029 |
+
},
|
| 8030 |
+
{
|
| 8031 |
+
"epoch": 94.82,
|
| 8032 |
+
"learning_rate": 4.3603133159268937e-07,
|
| 8033 |
+
"loss": 0.2805,
|
| 8034 |
+
"step": 1043
|
| 8035 |
+
},
|
| 8036 |
+
{
|
| 8037 |
+
"epoch": 94.91,
|
| 8038 |
+
"learning_rate": 4.3342036553524803e-07,
|
| 8039 |
+
"loss": 0.2669,
|
| 8040 |
+
"step": 1044
|
| 8041 |
+
},
|
| 8042 |
+
{
|
| 8043 |
+
"epoch": 95.0,
|
| 8044 |
+
"learning_rate": 4.308093994778068e-07,
|
| 8045 |
+
"loss": 0.303,
|
| 8046 |
+
"step": 1045
|
| 8047 |
+
},
|
| 8048 |
+
{
|
| 8049 |
+
"epoch": 95.09,
|
| 8050 |
+
"learning_rate": 4.2819843342036553e-07,
|
| 8051 |
+
"loss": 0.2528,
|
| 8052 |
+
"step": 1046
|
| 8053 |
+
},
|
| 8054 |
+
{
|
| 8055 |
+
"epoch": 95.18,
|
| 8056 |
+
"learning_rate": 4.255874673629243e-07,
|
| 8057 |
+
"loss": 0.2796,
|
| 8058 |
+
"step": 1047
|
| 8059 |
+
},
|
| 8060 |
+
{
|
| 8061 |
+
"epoch": 95.27,
|
| 8062 |
+
"learning_rate": 4.229765013054831e-07,
|
| 8063 |
+
"loss": 0.2867,
|
| 8064 |
+
"step": 1048
|
| 8065 |
+
},
|
| 8066 |
+
{
|
| 8067 |
+
"epoch": 95.36,
|
| 8068 |
+
"learning_rate": 4.2036553524804174e-07,
|
| 8069 |
+
"loss": 0.2571,
|
| 8070 |
+
"step": 1049
|
| 8071 |
+
},
|
| 8072 |
+
{
|
| 8073 |
+
"epoch": 95.45,
|
| 8074 |
+
"learning_rate": 4.177545691906005e-07,
|
| 8075 |
+
"loss": 0.27,
|
| 8076 |
+
"step": 1050
|
| 8077 |
+
},
|
| 8078 |
+
{
|
| 8079 |
+
"epoch": 95.45,
|
| 8080 |
+
"eval_accuracy_safe": 0.6435942806696967,
|
| 8081 |
+
"eval_accuracy_unlabeled": NaN,
|
| 8082 |
+
"eval_accuracy_unsafe": 0.9918861689920813,
|
| 8083 |
+
"eval_iou_safe": 0.5086651838761769,
|
| 8084 |
+
"eval_iou_unlabeled": 0.0,
|
| 8085 |
+
"eval_iou_unsafe": 0.9812415734412862,
|
| 8086 |
+
"eval_loss": 0.23565810918807983,
|
| 8087 |
+
"eval_mean_accuracy": 0.8177402248308889,
|
| 8088 |
+
"eval_mean_iou": 0.4966355857724876,
|
| 8089 |
+
"eval_overall_accuracy": 0.9815981850695255,
|
| 8090 |
+
"eval_runtime": 9.9504,
|
| 8091 |
+
"eval_samples_per_second": 6.733,
|
| 8092 |
+
"eval_steps_per_second": 0.502,
|
| 8093 |
+
"step": 1050
|
| 8094 |
+
},
|
| 8095 |
+
{
|
| 8096 |
+
"epoch": 95.55,
|
| 8097 |
+
"learning_rate": 4.151436031331593e-07,
|
| 8098 |
+
"loss": 0.2617,
|
| 8099 |
+
"step": 1051
|
| 8100 |
+
},
|
| 8101 |
+
{
|
| 8102 |
+
"epoch": 95.64,
|
| 8103 |
+
"learning_rate": 4.12532637075718e-07,
|
| 8104 |
+
"loss": 0.2838,
|
| 8105 |
+
"step": 1052
|
| 8106 |
+
},
|
| 8107 |
+
{
|
| 8108 |
+
"epoch": 95.73,
|
| 8109 |
+
"learning_rate": 4.099216710182768e-07,
|
| 8110 |
+
"loss": 0.2938,
|
| 8111 |
+
"step": 1053
|
| 8112 |
+
},
|
| 8113 |
+
{
|
| 8114 |
+
"epoch": 95.82,
|
| 8115 |
+
"learning_rate": 4.0731070496083555e-07,
|
| 8116 |
+
"loss": 0.2417,
|
| 8117 |
+
"step": 1054
|
| 8118 |
+
},
|
| 8119 |
+
{
|
| 8120 |
+
"epoch": 95.91,
|
| 8121 |
+
"learning_rate": 4.046997389033942e-07,
|
| 8122 |
+
"loss": 0.2567,
|
| 8123 |
+
"step": 1055
|
| 8124 |
+
},
|
| 8125 |
+
{
|
| 8126 |
+
"epoch": 96.0,
|
| 8127 |
+
"learning_rate": 4.02088772845953e-07,
|
| 8128 |
+
"loss": 0.3307,
|
| 8129 |
+
"step": 1056
|
| 8130 |
+
},
|
| 8131 |
+
{
|
| 8132 |
+
"epoch": 96.09,
|
| 8133 |
+
"learning_rate": 3.9947780678851177e-07,
|
| 8134 |
+
"loss": 0.2799,
|
| 8135 |
+
"step": 1057
|
| 8136 |
+
},
|
| 8137 |
+
{
|
| 8138 |
+
"epoch": 96.18,
|
| 8139 |
+
"learning_rate": 3.9686684073107054e-07,
|
| 8140 |
+
"loss": 0.2739,
|
| 8141 |
+
"step": 1058
|
| 8142 |
+
},
|
| 8143 |
+
{
|
| 8144 |
+
"epoch": 96.27,
|
| 8145 |
+
"learning_rate": 3.9425587467362926e-07,
|
| 8146 |
+
"loss": 0.2708,
|
| 8147 |
+
"step": 1059
|
| 8148 |
+
},
|
| 8149 |
+
{
|
| 8150 |
+
"epoch": 96.36,
|
| 8151 |
+
"learning_rate": 3.9164490861618804e-07,
|
| 8152 |
+
"loss": 0.255,
|
| 8153 |
+
"step": 1060
|
| 8154 |
+
},
|
| 8155 |
+
{
|
| 8156 |
+
"epoch": 96.36,
|
| 8157 |
+
"eval_accuracy_safe": 0.6671022856504023,
|
| 8158 |
+
"eval_accuracy_unlabeled": NaN,
|
| 8159 |
+
"eval_accuracy_unsafe": 0.9903374310334044,
|
| 8160 |
+
"eval_iou_safe": 0.5074312624715747,
|
| 8161 |
+
"eval_iou_unlabeled": 0.0,
|
| 8162 |
+
"eval_iou_unsafe": 0.980403430127183,
|
| 8163 |
+
"eval_loss": 0.2459607720375061,
|
| 8164 |
+
"eval_mean_accuracy": 0.8287198583419033,
|
| 8165 |
+
"eval_mean_iou": 0.49594489753291926,
|
| 8166 |
+
"eval_overall_accuracy": 0.9807895831207731,
|
| 8167 |
+
"eval_runtime": 11.3645,
|
| 8168 |
+
"eval_samples_per_second": 5.896,
|
| 8169 |
+
"eval_steps_per_second": 0.44,
|
| 8170 |
+
"step": 1060
|
| 8171 |
+
},
|
| 8172 |
+
{
|
| 8173 |
+
"epoch": 96.45,
|
| 8174 |
+
"learning_rate": 3.890339425587467e-07,
|
| 8175 |
+
"loss": 0.2801,
|
| 8176 |
+
"step": 1061
|
| 8177 |
+
},
|
| 8178 |
+
{
|
| 8179 |
+
"epoch": 96.55,
|
| 8180 |
+
"learning_rate": 3.864229765013055e-07,
|
| 8181 |
+
"loss": 0.273,
|
| 8182 |
+
"step": 1062
|
| 8183 |
+
},
|
| 8184 |
+
{
|
| 8185 |
+
"epoch": 96.64,
|
| 8186 |
+
"learning_rate": 3.8381201044386425e-07,
|
| 8187 |
+
"loss": 0.2592,
|
| 8188 |
+
"step": 1063
|
| 8189 |
+
},
|
| 8190 |
+
{
|
| 8191 |
+
"epoch": 96.73,
|
| 8192 |
+
"learning_rate": 3.81201044386423e-07,
|
| 8193 |
+
"loss": 0.2829,
|
| 8194 |
+
"step": 1064
|
| 8195 |
+
},
|
| 8196 |
+
{
|
| 8197 |
+
"epoch": 96.82,
|
| 8198 |
+
"learning_rate": 3.7859007832898174e-07,
|
| 8199 |
+
"loss": 0.2865,
|
| 8200 |
+
"step": 1065
|
| 8201 |
+
},
|
| 8202 |
+
{
|
| 8203 |
+
"epoch": 96.91,
|
| 8204 |
+
"learning_rate": 3.7597911227154046e-07,
|
| 8205 |
+
"loss": 0.2452,
|
| 8206 |
+
"step": 1066
|
| 8207 |
+
},
|
| 8208 |
+
{
|
| 8209 |
+
"epoch": 97.0,
|
| 8210 |
+
"learning_rate": 3.7336814621409924e-07,
|
| 8211 |
+
"loss": 0.2683,
|
| 8212 |
+
"step": 1067
|
| 8213 |
+
},
|
| 8214 |
+
{
|
| 8215 |
+
"epoch": 97.09,
|
| 8216 |
+
"learning_rate": 3.7075718015665796e-07,
|
| 8217 |
+
"loss": 0.2888,
|
| 8218 |
+
"step": 1068
|
| 8219 |
+
},
|
| 8220 |
+
{
|
| 8221 |
+
"epoch": 97.18,
|
| 8222 |
+
"learning_rate": 3.6814621409921673e-07,
|
| 8223 |
+
"loss": 0.265,
|
| 8224 |
+
"step": 1069
|
| 8225 |
+
},
|
| 8226 |
+
{
|
| 8227 |
+
"epoch": 97.27,
|
| 8228 |
+
"learning_rate": 3.6553524804177545e-07,
|
| 8229 |
+
"loss": 0.2756,
|
| 8230 |
+
"step": 1070
|
| 8231 |
+
},
|
| 8232 |
+
{
|
| 8233 |
+
"epoch": 97.27,
|
| 8234 |
+
"eval_accuracy_safe": 0.6633551913832252,
|
| 8235 |
+
"eval_accuracy_unlabeled": NaN,
|
| 8236 |
+
"eval_accuracy_unsafe": 0.9909028805540396,
|
| 8237 |
+
"eval_iou_safe": 0.5112561019451947,
|
| 8238 |
+
"eval_iou_unlabeled": 0.0,
|
| 8239 |
+
"eval_iou_unsafe": 0.9808524615525958,
|
| 8240 |
+
"eval_loss": 0.2411348670721054,
|
| 8241 |
+
"eval_mean_accuracy": 0.8271290359686324,
|
| 8242 |
+
"eval_mean_iou": 0.49736952116593014,
|
| 8243 |
+
"eval_overall_accuracy": 0.981227647012739,
|
| 8244 |
+
"eval_runtime": 11.7692,
|
| 8245 |
+
"eval_samples_per_second": 5.693,
|
| 8246 |
+
"eval_steps_per_second": 0.425,
|
| 8247 |
+
"step": 1070
|
| 8248 |
+
},
|
| 8249 |
+
{
|
| 8250 |
+
"epoch": 97.36,
|
| 8251 |
+
"learning_rate": 3.629242819843342e-07,
|
| 8252 |
+
"loss": 0.2541,
|
| 8253 |
+
"step": 1071
|
| 8254 |
+
},
|
| 8255 |
+
{
|
| 8256 |
+
"epoch": 97.45,
|
| 8257 |
+
"learning_rate": 3.6031331592689294e-07,
|
| 8258 |
+
"loss": 0.3003,
|
| 8259 |
+
"step": 1072
|
| 8260 |
+
},
|
| 8261 |
+
{
|
| 8262 |
+
"epoch": 97.55,
|
| 8263 |
+
"learning_rate": 3.5770234986945166e-07,
|
| 8264 |
+
"loss": 0.2535,
|
| 8265 |
+
"step": 1073
|
| 8266 |
+
},
|
| 8267 |
+
{
|
| 8268 |
+
"epoch": 97.64,
|
| 8269 |
+
"learning_rate": 3.5509138381201044e-07,
|
| 8270 |
+
"loss": 0.2349,
|
| 8271 |
+
"step": 1074
|
| 8272 |
+
},
|
| 8273 |
+
{
|
| 8274 |
+
"epoch": 97.73,
|
| 8275 |
+
"learning_rate": 3.524804177545692e-07,
|
| 8276 |
+
"loss": 0.3017,
|
| 8277 |
+
"step": 1075
|
| 8278 |
+
},
|
| 8279 |
+
{
|
| 8280 |
+
"epoch": 97.82,
|
| 8281 |
+
"learning_rate": 3.4986945169712793e-07,
|
| 8282 |
+
"loss": 0.2767,
|
| 8283 |
+
"step": 1076
|
| 8284 |
+
},
|
| 8285 |
+
{
|
| 8286 |
+
"epoch": 97.91,
|
| 8287 |
+
"learning_rate": 3.472584856396867e-07,
|
| 8288 |
+
"loss": 0.2357,
|
| 8289 |
+
"step": 1077
|
| 8290 |
+
},
|
| 8291 |
+
{
|
| 8292 |
+
"epoch": 98.0,
|
| 8293 |
+
"learning_rate": 3.446475195822455e-07,
|
| 8294 |
+
"loss": 0.2671,
|
| 8295 |
+
"step": 1078
|
| 8296 |
+
},
|
| 8297 |
+
{
|
| 8298 |
+
"epoch": 98.09,
|
| 8299 |
+
"learning_rate": 3.420365535248042e-07,
|
| 8300 |
+
"loss": 0.2846,
|
| 8301 |
+
"step": 1079
|
| 8302 |
+
},
|
| 8303 |
+
{
|
| 8304 |
+
"epoch": 98.18,
|
| 8305 |
+
"learning_rate": 3.394255874673629e-07,
|
| 8306 |
+
"loss": 0.2473,
|
| 8307 |
+
"step": 1080
|
| 8308 |
+
},
|
| 8309 |
+
{
|
| 8310 |
+
"epoch": 98.18,
|
| 8311 |
+
"eval_accuracy_safe": 0.6724203067837056,
|
| 8312 |
+
"eval_accuracy_unlabeled": NaN,
|
| 8313 |
+
"eval_accuracy_unsafe": 0.9903802005603336,
|
| 8314 |
+
"eval_iou_safe": 0.5115604181605686,
|
| 8315 |
+
"eval_iou_unlabeled": 0.0,
|
| 8316 |
+
"eval_iou_unsafe": 0.9806029058144462,
|
| 8317 |
+
"eval_loss": 0.2446996420621872,
|
| 8318 |
+
"eval_mean_accuracy": 0.8314002536720195,
|
| 8319 |
+
"eval_mean_iou": 0.49738777465833833,
|
| 8320 |
+
"eval_overall_accuracy": 0.9809881751217059,
|
| 8321 |
+
"eval_runtime": 10.9453,
|
| 8322 |
+
"eval_samples_per_second": 6.121,
|
| 8323 |
+
"eval_steps_per_second": 0.457,
|
| 8324 |
+
"step": 1080
|
| 8325 |
+
},
|
| 8326 |
+
{
|
| 8327 |
+
"epoch": 98.27,
|
| 8328 |
+
"learning_rate": 3.368146214099217e-07,
|
| 8329 |
+
"loss": 0.26,
|
| 8330 |
+
"step": 1081
|
| 8331 |
+
},
|
| 8332 |
+
{
|
| 8333 |
+
"epoch": 98.36,
|
| 8334 |
+
"learning_rate": 3.342036553524804e-07,
|
| 8335 |
+
"loss": 0.2765,
|
| 8336 |
+
"step": 1082
|
| 8337 |
+
},
|
| 8338 |
+
{
|
| 8339 |
+
"epoch": 98.45,
|
| 8340 |
+
"learning_rate": 3.315926892950392e-07,
|
| 8341 |
+
"loss": 0.2686,
|
| 8342 |
+
"step": 1083
|
| 8343 |
+
},
|
| 8344 |
+
{
|
| 8345 |
+
"epoch": 98.55,
|
| 8346 |
+
"learning_rate": 3.2898172323759796e-07,
|
| 8347 |
+
"loss": 0.2977,
|
| 8348 |
+
"step": 1084
|
| 8349 |
+
},
|
| 8350 |
+
{
|
| 8351 |
+
"epoch": 98.64,
|
| 8352 |
+
"learning_rate": 3.263707571801567e-07,
|
| 8353 |
+
"loss": 0.2444,
|
| 8354 |
+
"step": 1085
|
| 8355 |
+
},
|
| 8356 |
+
{
|
| 8357 |
+
"epoch": 98.73,
|
| 8358 |
+
"learning_rate": 3.237597911227154e-07,
|
| 8359 |
+
"loss": 0.262,
|
| 8360 |
+
"step": 1086
|
| 8361 |
+
},
|
| 8362 |
+
{
|
| 8363 |
+
"epoch": 98.82,
|
| 8364 |
+
"learning_rate": 3.211488250652741e-07,
|
| 8365 |
+
"loss": 0.2618,
|
| 8366 |
+
"step": 1087
|
| 8367 |
+
},
|
| 8368 |
+
{
|
| 8369 |
+
"epoch": 98.91,
|
| 8370 |
+
"learning_rate": 3.185378590078329e-07,
|
| 8371 |
+
"loss": 0.246,
|
| 8372 |
+
"step": 1088
|
| 8373 |
+
},
|
| 8374 |
+
{
|
| 8375 |
+
"epoch": 99.0,
|
| 8376 |
+
"learning_rate": 3.1592689295039167e-07,
|
| 8377 |
+
"loss": 0.285,
|
| 8378 |
+
"step": 1089
|
| 8379 |
+
},
|
| 8380 |
+
{
|
| 8381 |
+
"epoch": 99.09,
|
| 8382 |
+
"learning_rate": 3.133159268929504e-07,
|
| 8383 |
+
"loss": 0.266,
|
| 8384 |
+
"step": 1090
|
| 8385 |
+
},
|
| 8386 |
+
{
|
| 8387 |
+
"epoch": 99.09,
|
| 8388 |
+
"eval_accuracy_safe": 0.6777942259281962,
|
| 8389 |
+
"eval_accuracy_unlabeled": NaN,
|
| 8390 |
+
"eval_accuracy_unsafe": 0.9900612771743434,
|
| 8391 |
+
"eval_iou_safe": 0.511777068191146,
|
| 8392 |
+
"eval_iou_unlabeled": 0.0,
|
| 8393 |
+
"eval_iou_unsafe": 0.9804459747457676,
|
| 8394 |
+
"eval_loss": 0.24548684060573578,
|
| 8395 |
+
"eval_mean_accuracy": 0.8339277515512697,
|
| 8396 |
+
"eval_mean_iou": 0.4974076809789712,
|
| 8397 |
+
"eval_overall_accuracy": 0.9808374091760436,
|
| 8398 |
+
"eval_runtime": 11.7993,
|
| 8399 |
+
"eval_samples_per_second": 5.678,
|
| 8400 |
+
"eval_steps_per_second": 0.424,
|
| 8401 |
+
"step": 1090
|
| 8402 |
+
},
|
| 8403 |
+
{
|
| 8404 |
+
"epoch": 99.18,
|
| 8405 |
+
"learning_rate": 3.1070496083550916e-07,
|
| 8406 |
+
"loss": 0.2705,
|
| 8407 |
+
"step": 1091
|
| 8408 |
+
},
|
| 8409 |
+
{
|
| 8410 |
+
"epoch": 99.27,
|
| 8411 |
+
"learning_rate": 3.080939947780679e-07,
|
| 8412 |
+
"loss": 0.298,
|
| 8413 |
+
"step": 1092
|
| 8414 |
+
},
|
| 8415 |
+
{
|
| 8416 |
+
"epoch": 99.36,
|
| 8417 |
+
"learning_rate": 3.054830287206266e-07,
|
| 8418 |
+
"loss": 0.2351,
|
| 8419 |
+
"step": 1093
|
| 8420 |
+
},
|
| 8421 |
+
{
|
| 8422 |
+
"epoch": 99.45,
|
| 8423 |
+
"learning_rate": 3.0287206266318537e-07,
|
| 8424 |
+
"loss": 0.2721,
|
| 8425 |
+
"step": 1094
|
| 8426 |
+
},
|
| 8427 |
+
{
|
| 8428 |
+
"epoch": 99.55,
|
| 8429 |
+
"learning_rate": 3.0026109660574415e-07,
|
| 8430 |
+
"loss": 0.2686,
|
| 8431 |
+
"step": 1095
|
| 8432 |
+
},
|
| 8433 |
+
{
|
| 8434 |
+
"epoch": 99.64,
|
| 8435 |
+
"learning_rate": 2.9765013054830287e-07,
|
| 8436 |
+
"loss": 0.2837,
|
| 8437 |
+
"step": 1096
|
| 8438 |
+
},
|
| 8439 |
+
{
|
| 8440 |
+
"epoch": 99.73,
|
| 8441 |
+
"learning_rate": 2.9503916449086164e-07,
|
| 8442 |
+
"loss": 0.28,
|
| 8443 |
+
"step": 1097
|
| 8444 |
+
},
|
| 8445 |
+
{
|
| 8446 |
+
"epoch": 99.82,
|
| 8447 |
+
"learning_rate": 2.924281984334204e-07,
|
| 8448 |
+
"loss": 0.2622,
|
| 8449 |
+
"step": 1098
|
| 8450 |
+
},
|
| 8451 |
+
{
|
| 8452 |
+
"epoch": 99.91,
|
| 8453 |
+
"learning_rate": 2.8981723237597913e-07,
|
| 8454 |
+
"loss": 0.2638,
|
| 8455 |
+
"step": 1099
|
| 8456 |
+
},
|
| 8457 |
+
{
|
| 8458 |
+
"epoch": 100.0,
|
| 8459 |
+
"learning_rate": 2.8720626631853785e-07,
|
| 8460 |
+
"loss": 0.2682,
|
| 8461 |
+
"step": 1100
|
| 8462 |
+
},
|
| 8463 |
+
{
|
| 8464 |
+
"epoch": 100.0,
|
| 8465 |
+
"eval_accuracy_safe": 0.6651053773886763,
|
| 8466 |
+
"eval_accuracy_unlabeled": NaN,
|
| 8467 |
+
"eval_accuracy_unsafe": 0.9911382596240529,
|
| 8468 |
+
"eval_iou_safe": 0.5156260740404243,
|
| 8469 |
+
"eval_iou_unlabeled": 0.0,
|
| 8470 |
+
"eval_iou_unsafe": 0.981137303476917,
|
| 8471 |
+
"eval_loss": 0.2358776330947876,
|
| 8472 |
+
"eval_mean_accuracy": 0.8281218185063646,
|
| 8473 |
+
"eval_mean_iou": 0.49892112583911374,
|
| 8474 |
+
"eval_overall_accuracy": 0.9815077710507522,
|
| 8475 |
+
"eval_runtime": 9.6315,
|
| 8476 |
+
"eval_samples_per_second": 6.956,
|
| 8477 |
+
"eval_steps_per_second": 0.519,
|
| 8478 |
+
"step": 1100
|
| 8479 |
+
},
|
| 8480 |
+
{
|
| 8481 |
+
"epoch": 100.09,
|
| 8482 |
+
"learning_rate": 2.8459530026109663e-07,
|
| 8483 |
+
"loss": 0.2801,
|
| 8484 |
+
"step": 1101
|
| 8485 |
+
},
|
| 8486 |
+
{
|
| 8487 |
+
"epoch": 100.18,
|
| 8488 |
+
"learning_rate": 2.8198433420365535e-07,
|
| 8489 |
+
"loss": 0.286,
|
| 8490 |
+
"step": 1102
|
| 8491 |
+
},
|
| 8492 |
+
{
|
| 8493 |
+
"epoch": 100.27,
|
| 8494 |
+
"learning_rate": 2.793733681462141e-07,
|
| 8495 |
+
"loss": 0.2534,
|
| 8496 |
+
"step": 1103
|
| 8497 |
+
},
|
| 8498 |
+
{
|
| 8499 |
+
"epoch": 100.36,
|
| 8500 |
+
"learning_rate": 2.7676240208877284e-07,
|
| 8501 |
+
"loss": 0.2624,
|
| 8502 |
+
"step": 1104
|
| 8503 |
+
},
|
| 8504 |
+
{
|
| 8505 |
+
"epoch": 100.45,
|
| 8506 |
+
"learning_rate": 2.741514360313316e-07,
|
| 8507 |
+
"loss": 0.2565,
|
| 8508 |
+
"step": 1105
|
| 8509 |
+
},
|
| 8510 |
+
{
|
| 8511 |
+
"epoch": 100.55,
|
| 8512 |
+
"learning_rate": 2.7154046997389033e-07,
|
| 8513 |
+
"loss": 0.2646,
|
| 8514 |
+
"step": 1106
|
| 8515 |
+
},
|
| 8516 |
+
{
|
| 8517 |
+
"epoch": 100.64,
|
| 8518 |
+
"learning_rate": 2.6892950391644905e-07,
|
| 8519 |
+
"loss": 0.2764,
|
| 8520 |
+
"step": 1107
|
| 8521 |
+
},
|
| 8522 |
+
{
|
| 8523 |
+
"epoch": 100.73,
|
| 8524 |
+
"learning_rate": 2.6631853785900783e-07,
|
| 8525 |
+
"loss": 0.3186,
|
| 8526 |
+
"step": 1108
|
| 8527 |
+
},
|
| 8528 |
+
{
|
| 8529 |
+
"epoch": 100.82,
|
| 8530 |
+
"learning_rate": 2.637075718015666e-07,
|
| 8531 |
+
"loss": 0.2657,
|
| 8532 |
+
"step": 1109
|
| 8533 |
+
},
|
| 8534 |
+
{
|
| 8535 |
+
"epoch": 100.91,
|
| 8536 |
+
"learning_rate": 2.610966057441253e-07,
|
| 8537 |
+
"loss": 0.2607,
|
| 8538 |
+
"step": 1110
|
| 8539 |
+
},
|
| 8540 |
+
{
|
| 8541 |
+
"epoch": 100.91,
|
| 8542 |
+
"eval_accuracy_safe": 0.6738698000393214,
|
| 8543 |
+
"eval_accuracy_unlabeled": NaN,
|
| 8544 |
+
"eval_accuracy_unsafe": 0.9905278698323235,
|
| 8545 |
+
"eval_iou_safe": 0.5144442580542631,
|
| 8546 |
+
"eval_iou_unlabeled": 0.0,
|
| 8547 |
+
"eval_iou_unsafe": 0.9807920754923263,
|
| 8548 |
+
"eval_loss": 0.23757004737854004,
|
| 8549 |
+
"eval_mean_accuracy": 0.8321988349358225,
|
| 8550 |
+
"eval_mean_iou": 0.4984121111821964,
|
| 8551 |
+
"eval_overall_accuracy": 0.9811742981868004,
|
| 8552 |
+
"eval_runtime": 10.0274,
|
| 8553 |
+
"eval_samples_per_second": 6.682,
|
| 8554 |
+
"eval_steps_per_second": 0.499,
|
| 8555 |
+
"step": 1110
|
| 8556 |
+
},
|
| 8557 |
+
{
|
| 8558 |
+
"epoch": 101.0,
|
| 8559 |
+
"learning_rate": 2.584856396866841e-07,
|
| 8560 |
+
"loss": 0.2811,
|
| 8561 |
+
"step": 1111
|
| 8562 |
+
},
|
| 8563 |
+
{
|
| 8564 |
+
"epoch": 101.09,
|
| 8565 |
+
"learning_rate": 2.5587467362924287e-07,
|
| 8566 |
+
"loss": 0.2518,
|
| 8567 |
+
"step": 1112
|
| 8568 |
+
},
|
| 8569 |
+
{
|
| 8570 |
+
"epoch": 101.18,
|
| 8571 |
+
"learning_rate": 2.5326370757180154e-07,
|
| 8572 |
+
"loss": 0.2703,
|
| 8573 |
+
"step": 1113
|
| 8574 |
+
},
|
| 8575 |
+
{
|
| 8576 |
+
"epoch": 101.27,
|
| 8577 |
+
"learning_rate": 2.506527415143603e-07,
|
| 8578 |
+
"loss": 0.2491,
|
| 8579 |
+
"step": 1114
|
| 8580 |
+
},
|
| 8581 |
+
{
|
| 8582 |
+
"epoch": 101.36,
|
| 8583 |
+
"learning_rate": 2.480417754569191e-07,
|
| 8584 |
+
"loss": 0.2838,
|
| 8585 |
+
"step": 1115
|
| 8586 |
+
},
|
| 8587 |
+
{
|
| 8588 |
+
"epoch": 101.45,
|
| 8589 |
+
"learning_rate": 2.454308093994778e-07,
|
| 8590 |
+
"loss": 0.2518,
|
| 8591 |
+
"step": 1116
|
| 8592 |
+
},
|
| 8593 |
+
{
|
| 8594 |
+
"epoch": 101.55,
|
| 8595 |
+
"learning_rate": 2.428198433420366e-07,
|
| 8596 |
+
"loss": 0.2552,
|
| 8597 |
+
"step": 1117
|
| 8598 |
+
},
|
| 8599 |
+
{
|
| 8600 |
+
"epoch": 101.64,
|
| 8601 |
+
"learning_rate": 2.4020887728459535e-07,
|
| 8602 |
+
"loss": 0.2887,
|
| 8603 |
+
"step": 1118
|
| 8604 |
+
},
|
| 8605 |
+
{
|
| 8606 |
+
"epoch": 101.73,
|
| 8607 |
+
"learning_rate": 2.3759791122715404e-07,
|
| 8608 |
+
"loss": 0.277,
|
| 8609 |
+
"step": 1119
|
| 8610 |
+
},
|
| 8611 |
+
{
|
| 8612 |
+
"epoch": 101.82,
|
| 8613 |
+
"learning_rate": 2.3498694516971282e-07,
|
| 8614 |
+
"loss": 0.2506,
|
| 8615 |
+
"step": 1120
|
| 8616 |
+
},
|
| 8617 |
+
{
|
| 8618 |
+
"epoch": 101.82,
|
| 8619 |
+
"eval_accuracy_safe": 0.6726824491809977,
|
| 8620 |
+
"eval_accuracy_unlabeled": NaN,
|
| 8621 |
+
"eval_accuracy_unsafe": 0.9906665041150856,
|
| 8622 |
+
"eval_iou_safe": 0.5153487204477325,
|
| 8623 |
+
"eval_iou_unlabeled": 0.0,
|
| 8624 |
+
"eval_iou_unsafe": 0.9808942461066753,
|
| 8625 |
+
"eval_loss": 0.23799440264701843,
|
| 8626 |
+
"eval_mean_accuracy": 0.8316744766480417,
|
| 8627 |
+
"eval_mean_iou": 0.4987476555181359,
|
| 8628 |
+
"eval_overall_accuracy": 0.9812737649946071,
|
| 8629 |
+
"eval_runtime": 10.407,
|
| 8630 |
+
"eval_samples_per_second": 6.438,
|
| 8631 |
+
"eval_steps_per_second": 0.48,
|
| 8632 |
+
"step": 1120
|
| 8633 |
}
|
| 8634 |
],
|
| 8635 |
+
"max_steps": 1210,
|
| 8636 |
+
"num_train_epochs": 110,
|
| 8637 |
+
"total_flos": 6.262615188098777e+18,
|
| 8638 |
"trial_name": null,
|
| 8639 |
"trial_params": null
|
| 8640 |
}
|
{checkpoint-920 → checkpoint-1120}/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 sha256:7764d5ab7a2f70c6315a9183f665ce5dccb8d621798c467a03fec636b7115032
|
| 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 sha256:439fff3f0195842563eb3aa89f489b6ff04a54c8a2eba66acc052d3b09067053
|
| 3 |
size 338796489
|
runs/Feb08_01-03-36_robovision.csres.utexas.edu/events.out.tfevents.1707375822.robovision.csres.utexas.edu.795055.0
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:abf4e4573959a77dc2c6b7a44528c17238830dbbf8e1113fe59d8b87afbb1429
|
| 3 |
+
size 51772
|