Training in progress, step 640
Browse files- {checkpoint-440 → checkpoint-640}/config.json +0 -0
- {checkpoint-440 → checkpoint-640}/optimizer.pt +1 -1
- {checkpoint-440 → checkpoint-640}/pytorch_model.bin +1 -1
- {checkpoint-440 → checkpoint-640}/rng_state.pth +1 -1
- {checkpoint-440 → checkpoint-640}/scheduler.pt +1 -1
- {checkpoint-440 → checkpoint-640}/trainer_state.json +1547 -7
- {checkpoint-440 → checkpoint-640}/training_args.bin +1 -1
- pytorch_model.bin +1 -1
- runs/Feb07_23-24-48_robovision.csres.utexas.edu/events.out.tfevents.1707369894.robovision.csres.utexas.edu.767124.0 +2 -2
{checkpoint-440 → checkpoint-640}/config.json
RENAMED
|
File without changes
|
{checkpoint-440 → checkpoint-640}/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 sha256:477902b9f26d6c4bf8b49274807ba25b24a84fd5f592739cc3ffb5490f215ac5
|
| 3 |
size 677456319
|
{checkpoint-440 → checkpoint-640}/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 sha256:93e2688d28ef45dbd17c545048c9555b01b18a7b3d3dafb5b81172b05ea12a97
|
| 3 |
size 338796489
|
{checkpoint-440 → checkpoint-640}/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 sha256:674d3d514bbbd9b4ec942d5db24bb9bba8cba793e05ebae2404231fbaf4033d9
|
| 3 |
size 14575
|
{checkpoint-440 → checkpoint-640}/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 sha256:3fac4a5044892e767d206ba92310a6c8a33e6a069f05786799799f10b0c10069
|
| 3 |
size 627
|
{checkpoint-440 → checkpoint-640}/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,
|
|
@@ -3394,11 +3394,1551 @@
|
|
| 3394 |
"eval_samples_per_second": 7.155,
|
| 3395 |
"eval_steps_per_second": 0.534,
|
| 3396 |
"step": 440
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3397 |
}
|
| 3398 |
],
|
| 3399 |
-
"max_steps":
|
| 3400 |
-
"num_train_epochs":
|
| 3401 |
-
"total_flos":
|
| 3402 |
"trial_name": null,
|
| 3403 |
"trial_params": null
|
| 3404 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.33950886130332947,
|
| 3 |
+
"best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/safety-utcustom-train-SF-RGB-b5/checkpoint-640",
|
| 4 |
+
"epoch": 58.18181818181818,
|
| 5 |
+
"global_step": 640,
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
|
|
|
| 3394 |
"eval_samples_per_second": 7.155,
|
| 3395 |
"eval_steps_per_second": 0.534,
|
| 3396 |
"step": 440
|
| 3397 |
+
},
|
| 3398 |
+
{
|
| 3399 |
+
"epoch": 40.09,
|
| 3400 |
+
"learning_rate": 6.264367816091955e-07,
|
| 3401 |
+
"loss": 0.4279,
|
| 3402 |
+
"step": 441
|
| 3403 |
+
},
|
| 3404 |
+
{
|
| 3405 |
+
"epoch": 40.18,
|
| 3406 |
+
"learning_rate": 6.206896551724138e-07,
|
| 3407 |
+
"loss": 0.4672,
|
| 3408 |
+
"step": 442
|
| 3409 |
+
},
|
| 3410 |
+
{
|
| 3411 |
+
"epoch": 40.27,
|
| 3412 |
+
"learning_rate": 6.149425287356323e-07,
|
| 3413 |
+
"loss": 0.4416,
|
| 3414 |
+
"step": 443
|
| 3415 |
+
},
|
| 3416 |
+
{
|
| 3417 |
+
"epoch": 40.36,
|
| 3418 |
+
"learning_rate": 6.091954022988506e-07,
|
| 3419 |
+
"loss": 0.4589,
|
| 3420 |
+
"step": 444
|
| 3421 |
+
},
|
| 3422 |
+
{
|
| 3423 |
+
"epoch": 40.45,
|
| 3424 |
+
"learning_rate": 6.03448275862069e-07,
|
| 3425 |
+
"loss": 0.4292,
|
| 3426 |
+
"step": 445
|
| 3427 |
+
},
|
| 3428 |
+
{
|
| 3429 |
+
"epoch": 40.55,
|
| 3430 |
+
"learning_rate": 5.977011494252874e-07,
|
| 3431 |
+
"loss": 0.4247,
|
| 3432 |
+
"step": 446
|
| 3433 |
+
},
|
| 3434 |
+
{
|
| 3435 |
+
"epoch": 40.64,
|
| 3436 |
+
"learning_rate": 5.919540229885057e-07,
|
| 3437 |
+
"loss": 0.4454,
|
| 3438 |
+
"step": 447
|
| 3439 |
+
},
|
| 3440 |
+
{
|
| 3441 |
+
"epoch": 40.73,
|
| 3442 |
+
"learning_rate": 5.862068965517241e-07,
|
| 3443 |
+
"loss": 0.4544,
|
| 3444 |
+
"step": 448
|
| 3445 |
+
},
|
| 3446 |
+
{
|
| 3447 |
+
"epoch": 40.82,
|
| 3448 |
+
"learning_rate": 5.804597701149425e-07,
|
| 3449 |
+
"loss": 0.4194,
|
| 3450 |
+
"step": 449
|
| 3451 |
+
},
|
| 3452 |
+
{
|
| 3453 |
+
"epoch": 40.91,
|
| 3454 |
+
"learning_rate": 5.747126436781609e-07,
|
| 3455 |
+
"loss": 0.4805,
|
| 3456 |
+
"step": 450
|
| 3457 |
+
},
|
| 3458 |
+
{
|
| 3459 |
+
"epoch": 40.91,
|
| 3460 |
+
"eval_accuracy_safe": 0.6469790016229698,
|
| 3461 |
+
"eval_accuracy_unlabeled": NaN,
|
| 3462 |
+
"eval_accuracy_unsafe": 0.9723798619242439,
|
| 3463 |
+
"eval_iou_safe": 0.37541578774301354,
|
| 3464 |
+
"eval_iou_unlabeled": 0.0,
|
| 3465 |
+
"eval_iou_unsafe": 0.9620762119956281,
|
| 3466 |
+
"eval_loss": 0.40121129155158997,
|
| 3467 |
+
"eval_mean_accuracy": 0.8096794317736069,
|
| 3468 |
+
"eval_mean_iou": 0.44583066657954723,
|
| 3469 |
+
"eval_overall_accuracy": 0.9627680422654793,
|
| 3470 |
+
"eval_runtime": 10.0604,
|
| 3471 |
+
"eval_samples_per_second": 6.66,
|
| 3472 |
+
"eval_steps_per_second": 0.497,
|
| 3473 |
+
"step": 450
|
| 3474 |
+
},
|
| 3475 |
+
{
|
| 3476 |
+
"epoch": 41.0,
|
| 3477 |
+
"learning_rate": 5.689655172413793e-07,
|
| 3478 |
+
"loss": 0.5147,
|
| 3479 |
+
"step": 451
|
| 3480 |
+
},
|
| 3481 |
+
{
|
| 3482 |
+
"epoch": 41.09,
|
| 3483 |
+
"learning_rate": 5.632183908045977e-07,
|
| 3484 |
+
"loss": 0.455,
|
| 3485 |
+
"step": 452
|
| 3486 |
+
},
|
| 3487 |
+
{
|
| 3488 |
+
"epoch": 41.18,
|
| 3489 |
+
"learning_rate": 5.574712643678161e-07,
|
| 3490 |
+
"loss": 0.4551,
|
| 3491 |
+
"step": 453
|
| 3492 |
+
},
|
| 3493 |
+
{
|
| 3494 |
+
"epoch": 41.27,
|
| 3495 |
+
"learning_rate": 5.517241379310345e-07,
|
| 3496 |
+
"loss": 0.4154,
|
| 3497 |
+
"step": 454
|
| 3498 |
+
},
|
| 3499 |
+
{
|
| 3500 |
+
"epoch": 41.36,
|
| 3501 |
+
"learning_rate": 5.459770114942529e-07,
|
| 3502 |
+
"loss": 0.4427,
|
| 3503 |
+
"step": 455
|
| 3504 |
+
},
|
| 3505 |
+
{
|
| 3506 |
+
"epoch": 41.45,
|
| 3507 |
+
"learning_rate": 5.402298850574712e-07,
|
| 3508 |
+
"loss": 0.4494,
|
| 3509 |
+
"step": 456
|
| 3510 |
+
},
|
| 3511 |
+
{
|
| 3512 |
+
"epoch": 41.55,
|
| 3513 |
+
"learning_rate": 5.344827586206897e-07,
|
| 3514 |
+
"loss": 0.417,
|
| 3515 |
+
"step": 457
|
| 3516 |
+
},
|
| 3517 |
+
{
|
| 3518 |
+
"epoch": 41.64,
|
| 3519 |
+
"learning_rate": 5.28735632183908e-07,
|
| 3520 |
+
"loss": 0.4539,
|
| 3521 |
+
"step": 458
|
| 3522 |
+
},
|
| 3523 |
+
{
|
| 3524 |
+
"epoch": 41.73,
|
| 3525 |
+
"learning_rate": 5.229885057471265e-07,
|
| 3526 |
+
"loss": 0.4351,
|
| 3527 |
+
"step": 459
|
| 3528 |
+
},
|
| 3529 |
+
{
|
| 3530 |
+
"epoch": 41.82,
|
| 3531 |
+
"learning_rate": 5.172413793103449e-07,
|
| 3532 |
+
"loss": 0.4611,
|
| 3533 |
+
"step": 460
|
| 3534 |
+
},
|
| 3535 |
+
{
|
| 3536 |
+
"epoch": 41.82,
|
| 3537 |
+
"eval_accuracy_safe": 0.6525167597657681,
|
| 3538 |
+
"eval_accuracy_unlabeled": NaN,
|
| 3539 |
+
"eval_accuracy_unsafe": 0.9718386426019924,
|
| 3540 |
+
"eval_iou_safe": 0.37157282960052246,
|
| 3541 |
+
"eval_iou_unlabeled": 0.0,
|
| 3542 |
+
"eval_iou_unsafe": 0.9616940748738755,
|
| 3543 |
+
"eval_loss": 0.4025232493877411,
|
| 3544 |
+
"eval_mean_accuracy": 0.8121777011838802,
|
| 3545 |
+
"eval_mean_iou": 0.44442230149146594,
|
| 3546 |
+
"eval_overall_accuracy": 0.962406386190386,
|
| 3547 |
+
"eval_runtime": 9.1949,
|
| 3548 |
+
"eval_samples_per_second": 7.287,
|
| 3549 |
+
"eval_steps_per_second": 0.544,
|
| 3550 |
+
"step": 460
|
| 3551 |
+
},
|
| 3552 |
+
{
|
| 3553 |
+
"epoch": 41.91,
|
| 3554 |
+
"learning_rate": 5.114942528735632e-07,
|
| 3555 |
+
"loss": 0.4298,
|
| 3556 |
+
"step": 461
|
| 3557 |
+
},
|
| 3558 |
+
{
|
| 3559 |
+
"epoch": 42.0,
|
| 3560 |
+
"learning_rate": 5.057471264367817e-07,
|
| 3561 |
+
"loss": 0.4254,
|
| 3562 |
+
"step": 462
|
| 3563 |
+
},
|
| 3564 |
+
{
|
| 3565 |
+
"epoch": 42.09,
|
| 3566 |
+
"learning_rate": 5e-07,
|
| 3567 |
+
"loss": 0.4288,
|
| 3568 |
+
"step": 463
|
| 3569 |
+
},
|
| 3570 |
+
{
|
| 3571 |
+
"epoch": 42.18,
|
| 3572 |
+
"learning_rate": 4.942528735632184e-07,
|
| 3573 |
+
"loss": 0.423,
|
| 3574 |
+
"step": 464
|
| 3575 |
+
},
|
| 3576 |
+
{
|
| 3577 |
+
"epoch": 42.27,
|
| 3578 |
+
"learning_rate": 4.885057471264368e-07,
|
| 3579 |
+
"loss": 0.4418,
|
| 3580 |
+
"step": 465
|
| 3581 |
+
},
|
| 3582 |
+
{
|
| 3583 |
+
"epoch": 42.36,
|
| 3584 |
+
"learning_rate": 4.827586206896552e-07,
|
| 3585 |
+
"loss": 0.4314,
|
| 3586 |
+
"step": 466
|
| 3587 |
+
},
|
| 3588 |
+
{
|
| 3589 |
+
"epoch": 42.45,
|
| 3590 |
+
"learning_rate": 4.770114942528736e-07,
|
| 3591 |
+
"loss": 0.4333,
|
| 3592 |
+
"step": 467
|
| 3593 |
+
},
|
| 3594 |
+
{
|
| 3595 |
+
"epoch": 42.55,
|
| 3596 |
+
"learning_rate": 4.7126436781609196e-07,
|
| 3597 |
+
"loss": 0.4233,
|
| 3598 |
+
"step": 468
|
| 3599 |
+
},
|
| 3600 |
+
{
|
| 3601 |
+
"epoch": 42.64,
|
| 3602 |
+
"learning_rate": 4.6551724137931035e-07,
|
| 3603 |
+
"loss": 0.4519,
|
| 3604 |
+
"step": 469
|
| 3605 |
+
},
|
| 3606 |
+
{
|
| 3607 |
+
"epoch": 42.73,
|
| 3608 |
+
"learning_rate": 4.597701149425287e-07,
|
| 3609 |
+
"loss": 0.4339,
|
| 3610 |
+
"step": 470
|
| 3611 |
+
},
|
| 3612 |
+
{
|
| 3613 |
+
"epoch": 42.73,
|
| 3614 |
+
"eval_accuracy_safe": 0.6487465352870652,
|
| 3615 |
+
"eval_accuracy_unlabeled": NaN,
|
| 3616 |
+
"eval_accuracy_unsafe": 0.9726293214969499,
|
| 3617 |
+
"eval_iou_safe": 0.3744354059959327,
|
| 3618 |
+
"eval_iou_unlabeled": 0.0,
|
| 3619 |
+
"eval_iou_unsafe": 0.9623660982402702,
|
| 3620 |
+
"eval_loss": 0.39508846402168274,
|
| 3621 |
+
"eval_mean_accuracy": 0.8106879283920075,
|
| 3622 |
+
"eval_mean_iou": 0.44560050141206764,
|
| 3623 |
+
"eval_overall_accuracy": 0.9630623433127332,
|
| 3624 |
+
"eval_runtime": 9.952,
|
| 3625 |
+
"eval_samples_per_second": 6.732,
|
| 3626 |
+
"eval_steps_per_second": 0.502,
|
| 3627 |
+
"step": 470
|
| 3628 |
+
},
|
| 3629 |
+
{
|
| 3630 |
+
"epoch": 42.82,
|
| 3631 |
+
"learning_rate": 4.5402298850574714e-07,
|
| 3632 |
+
"loss": 0.4261,
|
| 3633 |
+
"step": 471
|
| 3634 |
+
},
|
| 3635 |
+
{
|
| 3636 |
+
"epoch": 42.91,
|
| 3637 |
+
"learning_rate": 4.4827586206896554e-07,
|
| 3638 |
+
"loss": 0.4671,
|
| 3639 |
+
"step": 472
|
| 3640 |
+
},
|
| 3641 |
+
{
|
| 3642 |
+
"epoch": 43.0,
|
| 3643 |
+
"learning_rate": 4.425287356321839e-07,
|
| 3644 |
+
"loss": 0.4605,
|
| 3645 |
+
"step": 473
|
| 3646 |
+
},
|
| 3647 |
+
{
|
| 3648 |
+
"epoch": 43.09,
|
| 3649 |
+
"learning_rate": 4.3678160919540233e-07,
|
| 3650 |
+
"loss": 0.416,
|
| 3651 |
+
"step": 474
|
| 3652 |
+
},
|
| 3653 |
+
{
|
| 3654 |
+
"epoch": 43.18,
|
| 3655 |
+
"learning_rate": 4.310344827586207e-07,
|
| 3656 |
+
"loss": 0.4621,
|
| 3657 |
+
"step": 475
|
| 3658 |
+
},
|
| 3659 |
+
{
|
| 3660 |
+
"epoch": 43.27,
|
| 3661 |
+
"learning_rate": 4.252873563218391e-07,
|
| 3662 |
+
"loss": 0.3928,
|
| 3663 |
+
"step": 476
|
| 3664 |
+
},
|
| 3665 |
+
{
|
| 3666 |
+
"epoch": 43.36,
|
| 3667 |
+
"learning_rate": 4.1954022988505747e-07,
|
| 3668 |
+
"loss": 0.4083,
|
| 3669 |
+
"step": 477
|
| 3670 |
+
},
|
| 3671 |
+
{
|
| 3672 |
+
"epoch": 43.45,
|
| 3673 |
+
"learning_rate": 4.1379310344827586e-07,
|
| 3674 |
+
"loss": 0.4524,
|
| 3675 |
+
"step": 478
|
| 3676 |
+
},
|
| 3677 |
+
{
|
| 3678 |
+
"epoch": 43.55,
|
| 3679 |
+
"learning_rate": 4.080459770114943e-07,
|
| 3680 |
+
"loss": 0.4233,
|
| 3681 |
+
"step": 479
|
| 3682 |
+
},
|
| 3683 |
+
{
|
| 3684 |
+
"epoch": 43.64,
|
| 3685 |
+
"learning_rate": 4.0229885057471266e-07,
|
| 3686 |
+
"loss": 0.4361,
|
| 3687 |
+
"step": 480
|
| 3688 |
+
},
|
| 3689 |
+
{
|
| 3690 |
+
"epoch": 43.64,
|
| 3691 |
+
"eval_accuracy_safe": 0.6447700664222574,
|
| 3692 |
+
"eval_accuracy_unlabeled": NaN,
|
| 3693 |
+
"eval_accuracy_unsafe": 0.9739781749861512,
|
| 3694 |
+
"eval_iou_safe": 0.3768989563134417,
|
| 3695 |
+
"eval_iou_unlabeled": 0.0,
|
| 3696 |
+
"eval_iou_unsafe": 0.9635797860139171,
|
| 3697 |
+
"eval_loss": 0.3945651650428772,
|
| 3698 |
+
"eval_mean_accuracy": 0.8093741207042043,
|
| 3699 |
+
"eval_mean_iou": 0.4468262474424529,
|
| 3700 |
+
"eval_overall_accuracy": 0.9642538953183303,
|
| 3701 |
+
"eval_runtime": 9.4487,
|
| 3702 |
+
"eval_samples_per_second": 7.091,
|
| 3703 |
+
"eval_steps_per_second": 0.529,
|
| 3704 |
+
"step": 480
|
| 3705 |
+
},
|
| 3706 |
+
{
|
| 3707 |
+
"epoch": 43.73,
|
| 3708 |
+
"learning_rate": 3.9655172413793105e-07,
|
| 3709 |
+
"loss": 0.4263,
|
| 3710 |
+
"step": 481
|
| 3711 |
+
},
|
| 3712 |
+
{
|
| 3713 |
+
"epoch": 43.82,
|
| 3714 |
+
"learning_rate": 3.908045977011494e-07,
|
| 3715 |
+
"loss": 0.3853,
|
| 3716 |
+
"step": 482
|
| 3717 |
+
},
|
| 3718 |
+
{
|
| 3719 |
+
"epoch": 43.91,
|
| 3720 |
+
"learning_rate": 3.8505747126436784e-07,
|
| 3721 |
+
"loss": 0.4272,
|
| 3722 |
+
"step": 483
|
| 3723 |
+
},
|
| 3724 |
+
{
|
| 3725 |
+
"epoch": 44.0,
|
| 3726 |
+
"learning_rate": 3.7931034482758624e-07,
|
| 3727 |
+
"loss": 0.4668,
|
| 3728 |
+
"step": 484
|
| 3729 |
+
},
|
| 3730 |
+
{
|
| 3731 |
+
"epoch": 44.09,
|
| 3732 |
+
"learning_rate": 3.735632183908046e-07,
|
| 3733 |
+
"loss": 0.4326,
|
| 3734 |
+
"step": 485
|
| 3735 |
+
},
|
| 3736 |
+
{
|
| 3737 |
+
"epoch": 44.18,
|
| 3738 |
+
"learning_rate": 3.67816091954023e-07,
|
| 3739 |
+
"loss": 0.4139,
|
| 3740 |
+
"step": 486
|
| 3741 |
+
},
|
| 3742 |
+
{
|
| 3743 |
+
"epoch": 44.27,
|
| 3744 |
+
"learning_rate": 3.6206896551724143e-07,
|
| 3745 |
+
"loss": 0.4106,
|
| 3746 |
+
"step": 487
|
| 3747 |
+
},
|
| 3748 |
+
{
|
| 3749 |
+
"epoch": 44.36,
|
| 3750 |
+
"learning_rate": 3.5632183908045977e-07,
|
| 3751 |
+
"loss": 0.4596,
|
| 3752 |
+
"step": 488
|
| 3753 |
+
},
|
| 3754 |
+
{
|
| 3755 |
+
"epoch": 44.45,
|
| 3756 |
+
"learning_rate": 3.5057471264367817e-07,
|
| 3757 |
+
"loss": 0.4191,
|
| 3758 |
+
"step": 489
|
| 3759 |
+
},
|
| 3760 |
+
{
|
| 3761 |
+
"epoch": 44.55,
|
| 3762 |
+
"learning_rate": 3.4482758620689656e-07,
|
| 3763 |
+
"loss": 0.4416,
|
| 3764 |
+
"step": 490
|
| 3765 |
+
},
|
| 3766 |
+
{
|
| 3767 |
+
"epoch": 44.55,
|
| 3768 |
+
"eval_accuracy_safe": 0.6447026033053073,
|
| 3769 |
+
"eval_accuracy_unlabeled": NaN,
|
| 3770 |
+
"eval_accuracy_unsafe": 0.9746319796611832,
|
| 3771 |
+
"eval_iou_safe": 0.37830962816343844,
|
| 3772 |
+
"eval_iou_unlabeled": 0.0,
|
| 3773 |
+
"eval_iou_unsafe": 0.9642232525873471,
|
| 3774 |
+
"eval_loss": 0.3870936930179596,
|
| 3775 |
+
"eval_mean_accuracy": 0.8096672914832452,
|
| 3776 |
+
"eval_mean_iou": 0.4475109602502618,
|
| 3777 |
+
"eval_overall_accuracy": 0.9648863948992829,
|
| 3778 |
+
"eval_runtime": 10.7764,
|
| 3779 |
+
"eval_samples_per_second": 6.217,
|
| 3780 |
+
"eval_steps_per_second": 0.464,
|
| 3781 |
+
"step": 490
|
| 3782 |
+
},
|
| 3783 |
+
{
|
| 3784 |
+
"epoch": 44.64,
|
| 3785 |
+
"learning_rate": 3.3908045977011496e-07,
|
| 3786 |
+
"loss": 0.3936,
|
| 3787 |
+
"step": 491
|
| 3788 |
+
},
|
| 3789 |
+
{
|
| 3790 |
+
"epoch": 44.73,
|
| 3791 |
+
"learning_rate": 3.333333333333333e-07,
|
| 3792 |
+
"loss": 0.4229,
|
| 3793 |
+
"step": 492
|
| 3794 |
+
},
|
| 3795 |
+
{
|
| 3796 |
+
"epoch": 44.82,
|
| 3797 |
+
"learning_rate": 3.2758620689655175e-07,
|
| 3798 |
+
"loss": 0.4332,
|
| 3799 |
+
"step": 493
|
| 3800 |
+
},
|
| 3801 |
+
{
|
| 3802 |
+
"epoch": 44.91,
|
| 3803 |
+
"learning_rate": 3.2183908045977015e-07,
|
| 3804 |
+
"loss": 0.4375,
|
| 3805 |
+
"step": 494
|
| 3806 |
+
},
|
| 3807 |
+
{
|
| 3808 |
+
"epoch": 45.0,
|
| 3809 |
+
"learning_rate": 3.1609195402298854e-07,
|
| 3810 |
+
"loss": 0.4713,
|
| 3811 |
+
"step": 495
|
| 3812 |
+
},
|
| 3813 |
+
{
|
| 3814 |
+
"epoch": 45.09,
|
| 3815 |
+
"learning_rate": 3.103448275862069e-07,
|
| 3816 |
+
"loss": 0.4549,
|
| 3817 |
+
"step": 496
|
| 3818 |
+
},
|
| 3819 |
+
{
|
| 3820 |
+
"epoch": 45.18,
|
| 3821 |
+
"learning_rate": 3.045977011494253e-07,
|
| 3822 |
+
"loss": 0.3869,
|
| 3823 |
+
"step": 497
|
| 3824 |
+
},
|
| 3825 |
+
{
|
| 3826 |
+
"epoch": 45.27,
|
| 3827 |
+
"learning_rate": 2.988505747126437e-07,
|
| 3828 |
+
"loss": 0.4323,
|
| 3829 |
+
"step": 498
|
| 3830 |
+
},
|
| 3831 |
+
{
|
| 3832 |
+
"epoch": 45.36,
|
| 3833 |
+
"learning_rate": 2.9310344827586207e-07,
|
| 3834 |
+
"loss": 0.4158,
|
| 3835 |
+
"step": 499
|
| 3836 |
+
},
|
| 3837 |
+
{
|
| 3838 |
+
"epoch": 45.45,
|
| 3839 |
+
"learning_rate": 2.8735632183908047e-07,
|
| 3840 |
+
"loss": 0.4524,
|
| 3841 |
+
"step": 500
|
| 3842 |
+
},
|
| 3843 |
+
{
|
| 3844 |
+
"epoch": 45.45,
|
| 3845 |
+
"eval_accuracy_safe": 0.6588968431116302,
|
| 3846 |
+
"eval_accuracy_unlabeled": NaN,
|
| 3847 |
+
"eval_accuracy_unsafe": 0.9712046679682527,
|
| 3848 |
+
"eval_iou_safe": 0.3701253070960435,
|
| 3849 |
+
"eval_iou_unlabeled": 0.0,
|
| 3850 |
+
"eval_iou_unsafe": 0.9612466938703839,
|
| 3851 |
+
"eval_loss": 0.40250322222709656,
|
| 3852 |
+
"eval_mean_accuracy": 0.8150507555399414,
|
| 3853 |
+
"eval_mean_iou": 0.44379066698880915,
|
| 3854 |
+
"eval_overall_accuracy": 0.9619795955828766,
|
| 3855 |
+
"eval_runtime": 9.5625,
|
| 3856 |
+
"eval_samples_per_second": 7.007,
|
| 3857 |
+
"eval_steps_per_second": 0.523,
|
| 3858 |
+
"step": 500
|
| 3859 |
+
},
|
| 3860 |
+
{
|
| 3861 |
+
"epoch": 45.55,
|
| 3862 |
+
"learning_rate": 2.8160919540229886e-07,
|
| 3863 |
+
"loss": 0.4077,
|
| 3864 |
+
"step": 501
|
| 3865 |
+
},
|
| 3866 |
+
{
|
| 3867 |
+
"epoch": 45.64,
|
| 3868 |
+
"learning_rate": 2.7586206896551726e-07,
|
| 3869 |
+
"loss": 0.4103,
|
| 3870 |
+
"step": 502
|
| 3871 |
+
},
|
| 3872 |
+
{
|
| 3873 |
+
"epoch": 45.73,
|
| 3874 |
+
"learning_rate": 2.701149425287356e-07,
|
| 3875 |
+
"loss": 0.4242,
|
| 3876 |
+
"step": 503
|
| 3877 |
+
},
|
| 3878 |
+
{
|
| 3879 |
+
"epoch": 45.82,
|
| 3880 |
+
"learning_rate": 2.64367816091954e-07,
|
| 3881 |
+
"loss": 0.3912,
|
| 3882 |
+
"step": 504
|
| 3883 |
+
},
|
| 3884 |
+
{
|
| 3885 |
+
"epoch": 45.91,
|
| 3886 |
+
"learning_rate": 2.5862068965517245e-07,
|
| 3887 |
+
"loss": 0.4475,
|
| 3888 |
+
"step": 505
|
| 3889 |
+
},
|
| 3890 |
+
{
|
| 3891 |
+
"epoch": 46.0,
|
| 3892 |
+
"learning_rate": 2.5287356321839084e-07,
|
| 3893 |
+
"loss": 0.4558,
|
| 3894 |
+
"step": 506
|
| 3895 |
+
},
|
| 3896 |
+
{
|
| 3897 |
+
"epoch": 46.09,
|
| 3898 |
+
"learning_rate": 2.471264367816092e-07,
|
| 3899 |
+
"loss": 0.4301,
|
| 3900 |
+
"step": 507
|
| 3901 |
+
},
|
| 3902 |
+
{
|
| 3903 |
+
"epoch": 46.18,
|
| 3904 |
+
"learning_rate": 2.413793103448276e-07,
|
| 3905 |
+
"loss": 0.4541,
|
| 3906 |
+
"step": 508
|
| 3907 |
+
},
|
| 3908 |
+
{
|
| 3909 |
+
"epoch": 46.27,
|
| 3910 |
+
"learning_rate": 2.3563218390804598e-07,
|
| 3911 |
+
"loss": 0.4438,
|
| 3912 |
+
"step": 509
|
| 3913 |
+
},
|
| 3914 |
+
{
|
| 3915 |
+
"epoch": 46.36,
|
| 3916 |
+
"learning_rate": 2.2988505747126435e-07,
|
| 3917 |
+
"loss": 0.4319,
|
| 3918 |
+
"step": 510
|
| 3919 |
+
},
|
| 3920 |
+
{
|
| 3921 |
+
"epoch": 46.36,
|
| 3922 |
+
"eval_accuracy_safe": 0.6730409674596474,
|
| 3923 |
+
"eval_accuracy_unlabeled": NaN,
|
| 3924 |
+
"eval_accuracy_unsafe": 0.967265588671203,
|
| 3925 |
+
"eval_iou_safe": 0.3593928995264361,
|
| 3926 |
+
"eval_iou_unlabeled": 0.0,
|
| 3927 |
+
"eval_iou_unsafe": 0.9577608849356718,
|
| 3928 |
+
"eval_loss": 0.4168514609336853,
|
| 3929 |
+
"eval_mean_accuracy": 0.8201532780654253,
|
| 3930 |
+
"eval_mean_iou": 0.43905126148736934,
|
| 3931 |
+
"eval_overall_accuracy": 0.9585746651265159,
|
| 3932 |
+
"eval_runtime": 10.2031,
|
| 3933 |
+
"eval_samples_per_second": 6.567,
|
| 3934 |
+
"eval_steps_per_second": 0.49,
|
| 3935 |
+
"step": 510
|
| 3936 |
+
},
|
| 3937 |
+
{
|
| 3938 |
+
"epoch": 46.45,
|
| 3939 |
+
"learning_rate": 2.2413793103448277e-07,
|
| 3940 |
+
"loss": 0.4356,
|
| 3941 |
+
"step": 511
|
| 3942 |
+
},
|
| 3943 |
+
{
|
| 3944 |
+
"epoch": 46.55,
|
| 3945 |
+
"learning_rate": 2.1839080459770117e-07,
|
| 3946 |
+
"loss": 0.3902,
|
| 3947 |
+
"step": 512
|
| 3948 |
+
},
|
| 3949 |
+
{
|
| 3950 |
+
"epoch": 46.64,
|
| 3951 |
+
"learning_rate": 2.1264367816091956e-07,
|
| 3952 |
+
"loss": 0.4067,
|
| 3953 |
+
"step": 513
|
| 3954 |
+
},
|
| 3955 |
+
{
|
| 3956 |
+
"epoch": 46.73,
|
| 3957 |
+
"learning_rate": 2.0689655172413793e-07,
|
| 3958 |
+
"loss": 0.3947,
|
| 3959 |
+
"step": 514
|
| 3960 |
+
},
|
| 3961 |
+
{
|
| 3962 |
+
"epoch": 46.82,
|
| 3963 |
+
"learning_rate": 2.0114942528735633e-07,
|
| 3964 |
+
"loss": 0.4378,
|
| 3965 |
+
"step": 515
|
| 3966 |
+
},
|
| 3967 |
+
{
|
| 3968 |
+
"epoch": 46.91,
|
| 3969 |
+
"learning_rate": 1.954022988505747e-07,
|
| 3970 |
+
"loss": 0.3984,
|
| 3971 |
+
"step": 516
|
| 3972 |
+
},
|
| 3973 |
+
{
|
| 3974 |
+
"epoch": 47.0,
|
| 3975 |
+
"learning_rate": 1.8965517241379312e-07,
|
| 3976 |
+
"loss": 0.4473,
|
| 3977 |
+
"step": 517
|
| 3978 |
+
},
|
| 3979 |
+
{
|
| 3980 |
+
"epoch": 47.09,
|
| 3981 |
+
"learning_rate": 1.839080459770115e-07,
|
| 3982 |
+
"loss": 0.4235,
|
| 3983 |
+
"step": 518
|
| 3984 |
+
},
|
| 3985 |
+
{
|
| 3986 |
+
"epoch": 47.18,
|
| 3987 |
+
"learning_rate": 1.7816091954022988e-07,
|
| 3988 |
+
"loss": 0.4192,
|
| 3989 |
+
"step": 519
|
| 3990 |
+
},
|
| 3991 |
+
{
|
| 3992 |
+
"epoch": 47.27,
|
| 3993 |
+
"learning_rate": 1.7241379310344828e-07,
|
| 3994 |
+
"loss": 0.4224,
|
| 3995 |
+
"step": 520
|
| 3996 |
+
},
|
| 3997 |
+
{
|
| 3998 |
+
"epoch": 47.27,
|
| 3999 |
+
"eval_accuracy_safe": 0.6603020034618217,
|
| 4000 |
+
"eval_accuracy_unlabeled": NaN,
|
| 4001 |
+
"eval_accuracy_unsafe": 0.9711994464485041,
|
| 4002 |
+
"eval_iou_safe": 0.37161152869427305,
|
| 4003 |
+
"eval_iou_unlabeled": 0.0,
|
| 4004 |
+
"eval_iou_unsafe": 0.9612871860526603,
|
| 4005 |
+
"eval_loss": 0.39859944581985474,
|
| 4006 |
+
"eval_mean_accuracy": 0.8157507249551629,
|
| 4007 |
+
"eval_mean_iou": 0.4442995715823111,
|
| 4008 |
+
"eval_overall_accuracy": 0.9620160344821304,
|
| 4009 |
+
"eval_runtime": 9.2903,
|
| 4010 |
+
"eval_samples_per_second": 7.212,
|
| 4011 |
+
"eval_steps_per_second": 0.538,
|
| 4012 |
+
"step": 520
|
| 4013 |
+
},
|
| 4014 |
+
{
|
| 4015 |
+
"epoch": 47.36,
|
| 4016 |
+
"learning_rate": 1.0218878248974007e-06,
|
| 4017 |
+
"loss": 0.4479,
|
| 4018 |
+
"step": 521
|
| 4019 |
+
},
|
| 4020 |
+
{
|
| 4021 |
+
"epoch": 47.45,
|
| 4022 |
+
"learning_rate": 1.0177838577291383e-06,
|
| 4023 |
+
"loss": 0.4097,
|
| 4024 |
+
"step": 522
|
| 4025 |
+
},
|
| 4026 |
+
{
|
| 4027 |
+
"epoch": 47.55,
|
| 4028 |
+
"learning_rate": 1.0136798905608756e-06,
|
| 4029 |
+
"loss": 0.4073,
|
| 4030 |
+
"step": 523
|
| 4031 |
+
},
|
| 4032 |
+
{
|
| 4033 |
+
"epoch": 47.64,
|
| 4034 |
+
"learning_rate": 1.009575923392613e-06,
|
| 4035 |
+
"loss": 0.4305,
|
| 4036 |
+
"step": 524
|
| 4037 |
+
},
|
| 4038 |
+
{
|
| 4039 |
+
"epoch": 47.73,
|
| 4040 |
+
"learning_rate": 1.00547195622435e-06,
|
| 4041 |
+
"loss": 0.4537,
|
| 4042 |
+
"step": 525
|
| 4043 |
+
},
|
| 4044 |
+
{
|
| 4045 |
+
"epoch": 47.82,
|
| 4046 |
+
"learning_rate": 1.0013679890560876e-06,
|
| 4047 |
+
"loss": 0.4054,
|
| 4048 |
+
"step": 526
|
| 4049 |
+
},
|
| 4050 |
+
{
|
| 4051 |
+
"epoch": 47.91,
|
| 4052 |
+
"learning_rate": 9.97264021887825e-07,
|
| 4053 |
+
"loss": 0.3876,
|
| 4054 |
+
"step": 527
|
| 4055 |
+
},
|
| 4056 |
+
{
|
| 4057 |
+
"epoch": 48.0,
|
| 4058 |
+
"learning_rate": 9.931600547195623e-07,
|
| 4059 |
+
"loss": 0.4008,
|
| 4060 |
+
"step": 528
|
| 4061 |
+
},
|
| 4062 |
+
{
|
| 4063 |
+
"epoch": 48.09,
|
| 4064 |
+
"learning_rate": 9.890560875512995e-07,
|
| 4065 |
+
"loss": 0.4183,
|
| 4066 |
+
"step": 529
|
| 4067 |
+
},
|
| 4068 |
+
{
|
| 4069 |
+
"epoch": 48.18,
|
| 4070 |
+
"learning_rate": 9.84952120383037e-07,
|
| 4071 |
+
"loss": 0.4333,
|
| 4072 |
+
"step": 530
|
| 4073 |
+
},
|
| 4074 |
+
{
|
| 4075 |
+
"epoch": 48.18,
|
| 4076 |
+
"eval_accuracy_safe": 0.6649550310137586,
|
| 4077 |
+
"eval_accuracy_unlabeled": NaN,
|
| 4078 |
+
"eval_accuracy_unsafe": 0.9702578714996897,
|
| 4079 |
+
"eval_iou_safe": 0.3723805021059608,
|
| 4080 |
+
"eval_iou_unlabeled": 0.0,
|
| 4081 |
+
"eval_iou_unsafe": 0.9604921504914465,
|
| 4082 |
+
"eval_loss": 0.4038476347923279,
|
| 4083 |
+
"eval_mean_accuracy": 0.8176064512567242,
|
| 4084 |
+
"eval_mean_iou": 0.44429088419913576,
|
| 4085 |
+
"eval_overall_accuracy": 0.9612397151206856,
|
| 4086 |
+
"eval_runtime": 8.6363,
|
| 4087 |
+
"eval_samples_per_second": 7.758,
|
| 4088 |
+
"eval_steps_per_second": 0.579,
|
| 4089 |
+
"step": 530
|
| 4090 |
+
},
|
| 4091 |
+
{
|
| 4092 |
+
"epoch": 48.27,
|
| 4093 |
+
"learning_rate": 9.808481532147744e-07,
|
| 4094 |
+
"loss": 0.414,
|
| 4095 |
+
"step": 531
|
| 4096 |
+
},
|
| 4097 |
+
{
|
| 4098 |
+
"epoch": 48.36,
|
| 4099 |
+
"learning_rate": 9.767441860465117e-07,
|
| 4100 |
+
"loss": 0.4344,
|
| 4101 |
+
"step": 532
|
| 4102 |
+
},
|
| 4103 |
+
{
|
| 4104 |
+
"epoch": 48.45,
|
| 4105 |
+
"learning_rate": 9.726402188782489e-07,
|
| 4106 |
+
"loss": 0.4448,
|
| 4107 |
+
"step": 533
|
| 4108 |
+
},
|
| 4109 |
+
{
|
| 4110 |
+
"epoch": 48.55,
|
| 4111 |
+
"learning_rate": 9.685362517099864e-07,
|
| 4112 |
+
"loss": 0.4283,
|
| 4113 |
+
"step": 534
|
| 4114 |
+
},
|
| 4115 |
+
{
|
| 4116 |
+
"epoch": 48.64,
|
| 4117 |
+
"learning_rate": 9.644322845417238e-07,
|
| 4118 |
+
"loss": 0.3871,
|
| 4119 |
+
"step": 535
|
| 4120 |
+
},
|
| 4121 |
+
{
|
| 4122 |
+
"epoch": 48.73,
|
| 4123 |
+
"learning_rate": 9.603283173734611e-07,
|
| 4124 |
+
"loss": 0.3983,
|
| 4125 |
+
"step": 536
|
| 4126 |
+
},
|
| 4127 |
+
{
|
| 4128 |
+
"epoch": 48.82,
|
| 4129 |
+
"learning_rate": 9.562243502051983e-07,
|
| 4130 |
+
"loss": 0.3946,
|
| 4131 |
+
"step": 537
|
| 4132 |
+
},
|
| 4133 |
+
{
|
| 4134 |
+
"epoch": 48.91,
|
| 4135 |
+
"learning_rate": 9.521203830369357e-07,
|
| 4136 |
+
"loss": 0.4091,
|
| 4137 |
+
"step": 538
|
| 4138 |
+
},
|
| 4139 |
+
{
|
| 4140 |
+
"epoch": 49.0,
|
| 4141 |
+
"learning_rate": 9.480164158686731e-07,
|
| 4142 |
+
"loss": 0.438,
|
| 4143 |
+
"step": 539
|
| 4144 |
+
},
|
| 4145 |
+
{
|
| 4146 |
+
"epoch": 49.09,
|
| 4147 |
+
"learning_rate": 9.439124487004105e-07,
|
| 4148 |
+
"loss": 0.3916,
|
| 4149 |
+
"step": 540
|
| 4150 |
+
},
|
| 4151 |
+
{
|
| 4152 |
+
"epoch": 49.09,
|
| 4153 |
+
"eval_accuracy_safe": 0.6624396205103296,
|
| 4154 |
+
"eval_accuracy_unlabeled": NaN,
|
| 4155 |
+
"eval_accuracy_unsafe": 0.9724313730965947,
|
| 4156 |
+
"eval_iou_safe": 0.3781414596199825,
|
| 4157 |
+
"eval_iou_unlabeled": 0.0,
|
| 4158 |
+
"eval_iou_unsafe": 0.9625620999872877,
|
| 4159 |
+
"eval_loss": 0.39684730768203735,
|
| 4160 |
+
"eval_mean_accuracy": 0.8174354968034621,
|
| 4161 |
+
"eval_mean_iou": 0.4469011865357568,
|
| 4162 |
+
"eval_overall_accuracy": 0.9632747137724463,
|
| 4163 |
+
"eval_runtime": 8.8446,
|
| 4164 |
+
"eval_samples_per_second": 7.575,
|
| 4165 |
+
"eval_steps_per_second": 0.565,
|
| 4166 |
+
"step": 540
|
| 4167 |
+
},
|
| 4168 |
+
{
|
| 4169 |
+
"epoch": 49.18,
|
| 4170 |
+
"learning_rate": 9.398084815321478e-07,
|
| 4171 |
+
"loss": 0.4174,
|
| 4172 |
+
"step": 541
|
| 4173 |
+
},
|
| 4174 |
+
{
|
| 4175 |
+
"epoch": 49.27,
|
| 4176 |
+
"learning_rate": 9.357045143638851e-07,
|
| 4177 |
+
"loss": 0.3837,
|
| 4178 |
+
"step": 542
|
| 4179 |
+
},
|
| 4180 |
+
{
|
| 4181 |
+
"epoch": 49.36,
|
| 4182 |
+
"learning_rate": 9.316005471956224e-07,
|
| 4183 |
+
"loss": 0.4472,
|
| 4184 |
+
"step": 543
|
| 4185 |
+
},
|
| 4186 |
+
{
|
| 4187 |
+
"epoch": 49.45,
|
| 4188 |
+
"learning_rate": 9.274965800273599e-07,
|
| 4189 |
+
"loss": 0.3876,
|
| 4190 |
+
"step": 544
|
| 4191 |
+
},
|
| 4192 |
+
{
|
| 4193 |
+
"epoch": 49.55,
|
| 4194 |
+
"learning_rate": 9.233926128590971e-07,
|
| 4195 |
+
"loss": 0.3935,
|
| 4196 |
+
"step": 545
|
| 4197 |
+
},
|
| 4198 |
+
{
|
| 4199 |
+
"epoch": 49.64,
|
| 4200 |
+
"learning_rate": 9.192886456908345e-07,
|
| 4201 |
+
"loss": 0.4331,
|
| 4202 |
+
"step": 546
|
| 4203 |
+
},
|
| 4204 |
+
{
|
| 4205 |
+
"epoch": 49.73,
|
| 4206 |
+
"learning_rate": 9.151846785225718e-07,
|
| 4207 |
+
"loss": 0.3941,
|
| 4208 |
+
"step": 547
|
| 4209 |
+
},
|
| 4210 |
+
{
|
| 4211 |
+
"epoch": 49.82,
|
| 4212 |
+
"learning_rate": 9.110807113543093e-07,
|
| 4213 |
+
"loss": 0.3938,
|
| 4214 |
+
"step": 548
|
| 4215 |
+
},
|
| 4216 |
+
{
|
| 4217 |
+
"epoch": 49.91,
|
| 4218 |
+
"learning_rate": 9.069767441860465e-07,
|
| 4219 |
+
"loss": 0.4009,
|
| 4220 |
+
"step": 549
|
| 4221 |
+
},
|
| 4222 |
+
{
|
| 4223 |
+
"epoch": 50.0,
|
| 4224 |
+
"learning_rate": 9.028727770177839e-07,
|
| 4225 |
+
"loss": 0.4803,
|
| 4226 |
+
"step": 550
|
| 4227 |
+
},
|
| 4228 |
+
{
|
| 4229 |
+
"epoch": 50.0,
|
| 4230 |
+
"eval_accuracy_safe": 0.6680390592171965,
|
| 4231 |
+
"eval_accuracy_unlabeled": NaN,
|
| 4232 |
+
"eval_accuracy_unsafe": 0.9725606203775616,
|
| 4233 |
+
"eval_iou_safe": 0.38091072150808025,
|
| 4234 |
+
"eval_iou_unlabeled": 0.0,
|
| 4235 |
+
"eval_iou_unsafe": 0.962854988299414,
|
| 4236 |
+
"eval_loss": 0.39420995116233826,
|
| 4237 |
+
"eval_mean_accuracy": 0.8202998397973791,
|
| 4238 |
+
"eval_mean_iou": 0.44792190326916476,
|
| 4239 |
+
"eval_overall_accuracy": 0.9635655417371152,
|
| 4240 |
+
"eval_runtime": 8.6063,
|
| 4241 |
+
"eval_samples_per_second": 7.785,
|
| 4242 |
+
"eval_steps_per_second": 0.581,
|
| 4243 |
+
"step": 550
|
| 4244 |
+
},
|
| 4245 |
+
{
|
| 4246 |
+
"epoch": 50.09,
|
| 4247 |
+
"learning_rate": 8.987688098495212e-07,
|
| 4248 |
+
"loss": 0.4009,
|
| 4249 |
+
"step": 551
|
| 4250 |
+
},
|
| 4251 |
+
{
|
| 4252 |
+
"epoch": 50.18,
|
| 4253 |
+
"learning_rate": 8.946648426812587e-07,
|
| 4254 |
+
"loss": 0.4059,
|
| 4255 |
+
"step": 552
|
| 4256 |
+
},
|
| 4257 |
+
{
|
| 4258 |
+
"epoch": 50.27,
|
| 4259 |
+
"learning_rate": 8.905608755129958e-07,
|
| 4260 |
+
"loss": 0.412,
|
| 4261 |
+
"step": 553
|
| 4262 |
+
},
|
| 4263 |
+
{
|
| 4264 |
+
"epoch": 50.36,
|
| 4265 |
+
"learning_rate": 8.864569083447333e-07,
|
| 4266 |
+
"loss": 0.3805,
|
| 4267 |
+
"step": 554
|
| 4268 |
+
},
|
| 4269 |
+
{
|
| 4270 |
+
"epoch": 50.45,
|
| 4271 |
+
"learning_rate": 8.823529411764706e-07,
|
| 4272 |
+
"loss": 0.407,
|
| 4273 |
+
"step": 555
|
| 4274 |
+
},
|
| 4275 |
+
{
|
| 4276 |
+
"epoch": 50.55,
|
| 4277 |
+
"learning_rate": 8.782489740082081e-07,
|
| 4278 |
+
"loss": 0.3856,
|
| 4279 |
+
"step": 556
|
| 4280 |
+
},
|
| 4281 |
+
{
|
| 4282 |
+
"epoch": 50.64,
|
| 4283 |
+
"learning_rate": 8.741450068399452e-07,
|
| 4284 |
+
"loss": 0.413,
|
| 4285 |
+
"step": 557
|
| 4286 |
+
},
|
| 4287 |
+
{
|
| 4288 |
+
"epoch": 50.73,
|
| 4289 |
+
"learning_rate": 8.700410396716827e-07,
|
| 4290 |
+
"loss": 0.3965,
|
| 4291 |
+
"step": 558
|
| 4292 |
+
},
|
| 4293 |
+
{
|
| 4294 |
+
"epoch": 50.82,
|
| 4295 |
+
"learning_rate": 8.6593707250342e-07,
|
| 4296 |
+
"loss": 0.4005,
|
| 4297 |
+
"step": 559
|
| 4298 |
+
},
|
| 4299 |
+
{
|
| 4300 |
+
"epoch": 50.91,
|
| 4301 |
+
"learning_rate": 8.618331053351575e-07,
|
| 4302 |
+
"loss": 0.3543,
|
| 4303 |
+
"step": 560
|
| 4304 |
+
},
|
| 4305 |
+
{
|
| 4306 |
+
"epoch": 50.91,
|
| 4307 |
+
"eval_accuracy_safe": 0.6472642742317879,
|
| 4308 |
+
"eval_accuracy_unlabeled": NaN,
|
| 4309 |
+
"eval_accuracy_unsafe": 0.9777157857571726,
|
| 4310 |
+
"eval_iou_safe": 0.3951853111506791,
|
| 4311 |
+
"eval_iou_unlabeled": 0.0,
|
| 4312 |
+
"eval_iou_unsafe": 0.9673436905478155,
|
| 4313 |
+
"eval_loss": 0.3696909546852112,
|
| 4314 |
+
"eval_mean_accuracy": 0.8124900299944802,
|
| 4315 |
+
"eval_mean_iou": 0.4541763338994982,
|
| 4316 |
+
"eval_overall_accuracy": 0.9679547779595674,
|
| 4317 |
+
"eval_runtime": 9.4902,
|
| 4318 |
+
"eval_samples_per_second": 7.06,
|
| 4319 |
+
"eval_steps_per_second": 0.527,
|
| 4320 |
+
"step": 560
|
| 4321 |
+
},
|
| 4322 |
+
{
|
| 4323 |
+
"epoch": 51.0,
|
| 4324 |
+
"learning_rate": 8.577291381668946e-07,
|
| 4325 |
+
"loss": 0.3975,
|
| 4326 |
+
"step": 561
|
| 4327 |
+
},
|
| 4328 |
+
{
|
| 4329 |
+
"epoch": 51.09,
|
| 4330 |
+
"learning_rate": 8.53625170998632e-07,
|
| 4331 |
+
"loss": 0.3652,
|
| 4332 |
+
"step": 562
|
| 4333 |
+
},
|
| 4334 |
+
{
|
| 4335 |
+
"epoch": 51.18,
|
| 4336 |
+
"learning_rate": 8.495212038303694e-07,
|
| 4337 |
+
"loss": 0.3648,
|
| 4338 |
+
"step": 563
|
| 4339 |
+
},
|
| 4340 |
+
{
|
| 4341 |
+
"epoch": 51.27,
|
| 4342 |
+
"learning_rate": 8.454172366621067e-07,
|
| 4343 |
+
"loss": 0.4468,
|
| 4344 |
+
"step": 564
|
| 4345 |
+
},
|
| 4346 |
+
{
|
| 4347 |
+
"epoch": 51.36,
|
| 4348 |
+
"learning_rate": 8.41313269493844e-07,
|
| 4349 |
+
"loss": 0.4287,
|
| 4350 |
+
"step": 565
|
| 4351 |
+
},
|
| 4352 |
+
{
|
| 4353 |
+
"epoch": 51.45,
|
| 4354 |
+
"learning_rate": 8.372093023255814e-07,
|
| 4355 |
+
"loss": 0.3904,
|
| 4356 |
+
"step": 566
|
| 4357 |
+
},
|
| 4358 |
+
{
|
| 4359 |
+
"epoch": 51.55,
|
| 4360 |
+
"learning_rate": 8.331053351573188e-07,
|
| 4361 |
+
"loss": 0.3856,
|
| 4362 |
+
"step": 567
|
| 4363 |
+
},
|
| 4364 |
+
{
|
| 4365 |
+
"epoch": 51.64,
|
| 4366 |
+
"learning_rate": 8.290013679890561e-07,
|
| 4367 |
+
"loss": 0.407,
|
| 4368 |
+
"step": 568
|
| 4369 |
+
},
|
| 4370 |
+
{
|
| 4371 |
+
"epoch": 51.73,
|
| 4372 |
+
"learning_rate": 8.248974008207934e-07,
|
| 4373 |
+
"loss": 0.3889,
|
| 4374 |
+
"step": 569
|
| 4375 |
+
},
|
| 4376 |
+
{
|
| 4377 |
+
"epoch": 51.82,
|
| 4378 |
+
"learning_rate": 8.207934336525308e-07,
|
| 4379 |
+
"loss": 0.3684,
|
| 4380 |
+
"step": 570
|
| 4381 |
+
},
|
| 4382 |
+
{
|
| 4383 |
+
"epoch": 51.82,
|
| 4384 |
+
"eval_accuracy_safe": 0.6514681901765992,
|
| 4385 |
+
"eval_accuracy_unlabeled": NaN,
|
| 4386 |
+
"eval_accuracy_unsafe": 0.9772261362760333,
|
| 4387 |
+
"eval_iou_safe": 0.3951423109973169,
|
| 4388 |
+
"eval_iou_unlabeled": 0.0,
|
| 4389 |
+
"eval_iou_unsafe": 0.9669824966129977,
|
| 4390 |
+
"eval_loss": 0.3708346486091614,
|
| 4391 |
+
"eval_mean_accuracy": 0.8143471632263162,
|
| 4392 |
+
"eval_mean_iou": 0.45404160253677156,
|
| 4393 |
+
"eval_overall_accuracy": 0.9676037688753498,
|
| 4394 |
+
"eval_runtime": 10.3386,
|
| 4395 |
+
"eval_samples_per_second": 6.481,
|
| 4396 |
+
"eval_steps_per_second": 0.484,
|
| 4397 |
+
"step": 570
|
| 4398 |
+
},
|
| 4399 |
+
{
|
| 4400 |
+
"epoch": 51.91,
|
| 4401 |
+
"learning_rate": 8.166894664842682e-07,
|
| 4402 |
+
"loss": 0.413,
|
| 4403 |
+
"step": 571
|
| 4404 |
+
},
|
| 4405 |
+
{
|
| 4406 |
+
"epoch": 52.0,
|
| 4407 |
+
"learning_rate": 8.125854993160055e-07,
|
| 4408 |
+
"loss": 0.3516,
|
| 4409 |
+
"step": 572
|
| 4410 |
+
},
|
| 4411 |
+
{
|
| 4412 |
+
"epoch": 52.09,
|
| 4413 |
+
"learning_rate": 8.084815321477428e-07,
|
| 4414 |
+
"loss": 0.3804,
|
| 4415 |
+
"step": 573
|
| 4416 |
+
},
|
| 4417 |
+
{
|
| 4418 |
+
"epoch": 52.18,
|
| 4419 |
+
"learning_rate": 8.043775649794802e-07,
|
| 4420 |
+
"loss": 0.3756,
|
| 4421 |
+
"step": 574
|
| 4422 |
+
},
|
| 4423 |
+
{
|
| 4424 |
+
"epoch": 52.27,
|
| 4425 |
+
"learning_rate": 8.002735978112176e-07,
|
| 4426 |
+
"loss": 0.412,
|
| 4427 |
+
"step": 575
|
| 4428 |
+
},
|
| 4429 |
+
{
|
| 4430 |
+
"epoch": 52.36,
|
| 4431 |
+
"learning_rate": 7.961696306429549e-07,
|
| 4432 |
+
"loss": 0.4109,
|
| 4433 |
+
"step": 576
|
| 4434 |
+
},
|
| 4435 |
+
{
|
| 4436 |
+
"epoch": 52.45,
|
| 4437 |
+
"learning_rate": 7.920656634746922e-07,
|
| 4438 |
+
"loss": 0.3654,
|
| 4439 |
+
"step": 577
|
| 4440 |
+
},
|
| 4441 |
+
{
|
| 4442 |
+
"epoch": 52.55,
|
| 4443 |
+
"learning_rate": 7.879616963064296e-07,
|
| 4444 |
+
"loss": 0.3624,
|
| 4445 |
+
"step": 578
|
| 4446 |
+
},
|
| 4447 |
+
{
|
| 4448 |
+
"epoch": 52.64,
|
| 4449 |
+
"learning_rate": 7.83857729138167e-07,
|
| 4450 |
+
"loss": 0.3876,
|
| 4451 |
+
"step": 579
|
| 4452 |
+
},
|
| 4453 |
+
{
|
| 4454 |
+
"epoch": 52.73,
|
| 4455 |
+
"learning_rate": 7.797537619699043e-07,
|
| 4456 |
+
"loss": 0.4004,
|
| 4457 |
+
"step": 580
|
| 4458 |
+
},
|
| 4459 |
+
{
|
| 4460 |
+
"epoch": 52.73,
|
| 4461 |
+
"eval_accuracy_safe": 0.64372727938597,
|
| 4462 |
+
"eval_accuracy_unlabeled": NaN,
|
| 4463 |
+
"eval_accuracy_unsafe": 0.9793208457266203,
|
| 4464 |
+
"eval_iou_safe": 0.401423873377919,
|
| 4465 |
+
"eval_iou_unlabeled": 0.0,
|
| 4466 |
+
"eval_iou_unsafe": 0.968824985839696,
|
| 4467 |
+
"eval_loss": 0.3584851026535034,
|
| 4468 |
+
"eval_mean_accuracy": 0.8115240625562952,
|
| 4469 |
+
"eval_mean_iou": 0.45674961973920497,
|
| 4470 |
+
"eval_overall_accuracy": 0.9694079498746502,
|
| 4471 |
+
"eval_runtime": 9.5054,
|
| 4472 |
+
"eval_samples_per_second": 7.049,
|
| 4473 |
+
"eval_steps_per_second": 0.526,
|
| 4474 |
+
"step": 580
|
| 4475 |
+
},
|
| 4476 |
+
{
|
| 4477 |
+
"epoch": 52.82,
|
| 4478 |
+
"learning_rate": 7.756497948016415e-07,
|
| 4479 |
+
"loss": 0.3849,
|
| 4480 |
+
"step": 581
|
| 4481 |
+
},
|
| 4482 |
+
{
|
| 4483 |
+
"epoch": 52.91,
|
| 4484 |
+
"learning_rate": 7.715458276333789e-07,
|
| 4485 |
+
"loss": 0.3474,
|
| 4486 |
+
"step": 582
|
| 4487 |
+
},
|
| 4488 |
+
{
|
| 4489 |
+
"epoch": 53.0,
|
| 4490 |
+
"learning_rate": 7.674418604651163e-07,
|
| 4491 |
+
"loss": 0.3701,
|
| 4492 |
+
"step": 583
|
| 4493 |
+
},
|
| 4494 |
+
{
|
| 4495 |
+
"epoch": 53.09,
|
| 4496 |
+
"learning_rate": 7.633378932968537e-07,
|
| 4497 |
+
"loss": 0.3447,
|
| 4498 |
+
"step": 584
|
| 4499 |
+
},
|
| 4500 |
+
{
|
| 4501 |
+
"epoch": 53.18,
|
| 4502 |
+
"learning_rate": 7.592339261285909e-07,
|
| 4503 |
+
"loss": 0.4049,
|
| 4504 |
+
"step": 585
|
| 4505 |
+
},
|
| 4506 |
+
{
|
| 4507 |
+
"epoch": 53.27,
|
| 4508 |
+
"learning_rate": 7.551299589603283e-07,
|
| 4509 |
+
"loss": 0.4026,
|
| 4510 |
+
"step": 586
|
| 4511 |
+
},
|
| 4512 |
+
{
|
| 4513 |
+
"epoch": 53.36,
|
| 4514 |
+
"learning_rate": 7.510259917920657e-07,
|
| 4515 |
+
"loss": 0.3855,
|
| 4516 |
+
"step": 587
|
| 4517 |
+
},
|
| 4518 |
+
{
|
| 4519 |
+
"epoch": 53.45,
|
| 4520 |
+
"learning_rate": 7.46922024623803e-07,
|
| 4521 |
+
"loss": 0.372,
|
| 4522 |
+
"step": 588
|
| 4523 |
+
},
|
| 4524 |
+
{
|
| 4525 |
+
"epoch": 53.55,
|
| 4526 |
+
"learning_rate": 7.428180574555404e-07,
|
| 4527 |
+
"loss": 0.358,
|
| 4528 |
+
"step": 589
|
| 4529 |
+
},
|
| 4530 |
+
{
|
| 4531 |
+
"epoch": 53.64,
|
| 4532 |
+
"learning_rate": 7.387140902872777e-07,
|
| 4533 |
+
"loss": 0.3656,
|
| 4534 |
+
"step": 590
|
| 4535 |
+
},
|
| 4536 |
+
{
|
| 4537 |
+
"epoch": 53.64,
|
| 4538 |
+
"eval_accuracy_safe": 0.6558667854017525,
|
| 4539 |
+
"eval_accuracy_unlabeled": NaN,
|
| 4540 |
+
"eval_accuracy_unsafe": 0.9780078388505241,
|
| 4541 |
+
"eval_iou_safe": 0.40104638732360337,
|
| 4542 |
+
"eval_iou_unlabeled": 0.0,
|
| 4543 |
+
"eval_iou_unsafe": 0.9678817565011693,
|
| 4544 |
+
"eval_loss": 0.3653949499130249,
|
| 4545 |
+
"eval_mean_accuracy": 0.8169373121261383,
|
| 4546 |
+
"eval_mean_iou": 0.4563093812749242,
|
| 4547 |
+
"eval_overall_accuracy": 0.96849230865934,
|
| 4548 |
+
"eval_runtime": 10.8561,
|
| 4549 |
+
"eval_samples_per_second": 6.172,
|
| 4550 |
+
"eval_steps_per_second": 0.461,
|
| 4551 |
+
"step": 590
|
| 4552 |
+
},
|
| 4553 |
+
{
|
| 4554 |
+
"epoch": 53.73,
|
| 4555 |
+
"learning_rate": 7.346101231190151e-07,
|
| 4556 |
+
"loss": 0.4163,
|
| 4557 |
+
"step": 591
|
| 4558 |
+
},
|
| 4559 |
+
{
|
| 4560 |
+
"epoch": 53.82,
|
| 4561 |
+
"learning_rate": 7.305061559507524e-07,
|
| 4562 |
+
"loss": 0.3652,
|
| 4563 |
+
"step": 592
|
| 4564 |
+
},
|
| 4565 |
+
{
|
| 4566 |
+
"epoch": 53.91,
|
| 4567 |
+
"learning_rate": 7.264021887824898e-07,
|
| 4568 |
+
"loss": 0.3957,
|
| 4569 |
+
"step": 593
|
| 4570 |
+
},
|
| 4571 |
+
{
|
| 4572 |
+
"epoch": 54.0,
|
| 4573 |
+
"learning_rate": 7.222982216142271e-07,
|
| 4574 |
+
"loss": 0.4365,
|
| 4575 |
+
"step": 594
|
| 4576 |
+
},
|
| 4577 |
+
{
|
| 4578 |
+
"epoch": 54.09,
|
| 4579 |
+
"learning_rate": 7.181942544459645e-07,
|
| 4580 |
+
"loss": 0.4133,
|
| 4581 |
+
"step": 595
|
| 4582 |
+
},
|
| 4583 |
+
{
|
| 4584 |
+
"epoch": 54.18,
|
| 4585 |
+
"learning_rate": 7.140902872777018e-07,
|
| 4586 |
+
"loss": 0.4297,
|
| 4587 |
+
"step": 596
|
| 4588 |
+
},
|
| 4589 |
+
{
|
| 4590 |
+
"epoch": 54.27,
|
| 4591 |
+
"learning_rate": 7.099863201094392e-07,
|
| 4592 |
+
"loss": 0.327,
|
| 4593 |
+
"step": 597
|
| 4594 |
+
},
|
| 4595 |
+
{
|
| 4596 |
+
"epoch": 54.36,
|
| 4597 |
+
"learning_rate": 7.058823529411765e-07,
|
| 4598 |
+
"loss": 0.3749,
|
| 4599 |
+
"step": 598
|
| 4600 |
+
},
|
| 4601 |
+
{
|
| 4602 |
+
"epoch": 54.45,
|
| 4603 |
+
"learning_rate": 7.017783857729139e-07,
|
| 4604 |
+
"loss": 0.3516,
|
| 4605 |
+
"step": 599
|
| 4606 |
+
},
|
| 4607 |
+
{
|
| 4608 |
+
"epoch": 54.55,
|
| 4609 |
+
"learning_rate": 6.976744186046511e-07,
|
| 4610 |
+
"loss": 0.3918,
|
| 4611 |
+
"step": 600
|
| 4612 |
+
},
|
| 4613 |
+
{
|
| 4614 |
+
"epoch": 54.55,
|
| 4615 |
+
"eval_accuracy_safe": 0.6432222697676571,
|
| 4616 |
+
"eval_accuracy_unlabeled": NaN,
|
| 4617 |
+
"eval_accuracy_unsafe": 0.980886949638618,
|
| 4618 |
+
"eval_iou_safe": 0.41152118741259774,
|
| 4619 |
+
"eval_iou_unlabeled": 0.0,
|
| 4620 |
+
"eval_iou_unsafe": 0.9703598872160661,
|
| 4621 |
+
"eval_loss": 0.3526640236377716,
|
| 4622 |
+
"eval_mean_accuracy": 0.8120546097031376,
|
| 4623 |
+
"eval_mean_iou": 0.46062702487622126,
|
| 4624 |
+
"eval_overall_accuracy": 0.9709128764138293,
|
| 4625 |
+
"eval_runtime": 9.0586,
|
| 4626 |
+
"eval_samples_per_second": 7.396,
|
| 4627 |
+
"eval_steps_per_second": 0.552,
|
| 4628 |
+
"step": 600
|
| 4629 |
+
},
|
| 4630 |
+
{
|
| 4631 |
+
"epoch": 54.64,
|
| 4632 |
+
"learning_rate": 6.935704514363886e-07,
|
| 4633 |
+
"loss": 0.3599,
|
| 4634 |
+
"step": 601
|
| 4635 |
+
},
|
| 4636 |
+
{
|
| 4637 |
+
"epoch": 54.73,
|
| 4638 |
+
"learning_rate": 6.894664842681258e-07,
|
| 4639 |
+
"loss": 0.3603,
|
| 4640 |
+
"step": 602
|
| 4641 |
+
},
|
| 4642 |
+
{
|
| 4643 |
+
"epoch": 54.82,
|
| 4644 |
+
"learning_rate": 6.853625170998633e-07,
|
| 4645 |
+
"loss": 0.3782,
|
| 4646 |
+
"step": 603
|
| 4647 |
+
},
|
| 4648 |
+
{
|
| 4649 |
+
"epoch": 54.91,
|
| 4650 |
+
"learning_rate": 6.812585499316005e-07,
|
| 4651 |
+
"loss": 0.3599,
|
| 4652 |
+
"step": 604
|
| 4653 |
+
},
|
| 4654 |
+
{
|
| 4655 |
+
"epoch": 55.0,
|
| 4656 |
+
"learning_rate": 6.77154582763338e-07,
|
| 4657 |
+
"loss": 0.4199,
|
| 4658 |
+
"step": 605
|
| 4659 |
+
},
|
| 4660 |
+
{
|
| 4661 |
+
"epoch": 55.09,
|
| 4662 |
+
"learning_rate": 6.730506155950752e-07,
|
| 4663 |
+
"loss": 0.3504,
|
| 4664 |
+
"step": 606
|
| 4665 |
+
},
|
| 4666 |
+
{
|
| 4667 |
+
"epoch": 55.18,
|
| 4668 |
+
"learning_rate": 6.689466484268127e-07,
|
| 4669 |
+
"loss": 0.3583,
|
| 4670 |
+
"step": 607
|
| 4671 |
+
},
|
| 4672 |
+
{
|
| 4673 |
+
"epoch": 55.27,
|
| 4674 |
+
"learning_rate": 6.648426812585499e-07,
|
| 4675 |
+
"loss": 0.3537,
|
| 4676 |
+
"step": 608
|
| 4677 |
+
},
|
| 4678 |
+
{
|
| 4679 |
+
"epoch": 55.36,
|
| 4680 |
+
"learning_rate": 6.607387140902874e-07,
|
| 4681 |
+
"loss": 0.4038,
|
| 4682 |
+
"step": 609
|
| 4683 |
+
},
|
| 4684 |
+
{
|
| 4685 |
+
"epoch": 55.45,
|
| 4686 |
+
"learning_rate": 6.566347469220246e-07,
|
| 4687 |
+
"loss": 0.3741,
|
| 4688 |
+
"step": 610
|
| 4689 |
+
},
|
| 4690 |
+
{
|
| 4691 |
+
"epoch": 55.45,
|
| 4692 |
+
"eval_accuracy_safe": 0.6392901338082737,
|
| 4693 |
+
"eval_accuracy_unlabeled": NaN,
|
| 4694 |
+
"eval_accuracy_unsafe": 0.9826956488782591,
|
| 4695 |
+
"eval_iou_safe": 0.418450346516478,
|
| 4696 |
+
"eval_iou_unlabeled": 0.0,
|
| 4697 |
+
"eval_iou_unsafe": 0.9720286712517688,
|
| 4698 |
+
"eval_loss": 0.3361377418041229,
|
| 4699 |
+
"eval_mean_accuracy": 0.8109928913432665,
|
| 4700 |
+
"eval_mean_iou": 0.46349300592274895,
|
| 4701 |
+
"eval_overall_accuracy": 0.9725520005866662,
|
| 4702 |
+
"eval_runtime": 9.4221,
|
| 4703 |
+
"eval_samples_per_second": 7.111,
|
| 4704 |
+
"eval_steps_per_second": 0.531,
|
| 4705 |
+
"step": 610
|
| 4706 |
+
},
|
| 4707 |
+
{
|
| 4708 |
+
"epoch": 55.55,
|
| 4709 |
+
"learning_rate": 6.52530779753762e-07,
|
| 4710 |
+
"loss": 0.3866,
|
| 4711 |
+
"step": 611
|
| 4712 |
+
},
|
| 4713 |
+
{
|
| 4714 |
+
"epoch": 55.64,
|
| 4715 |
+
"learning_rate": 6.484268125854993e-07,
|
| 4716 |
+
"loss": 0.3333,
|
| 4717 |
+
"step": 612
|
| 4718 |
+
},
|
| 4719 |
+
{
|
| 4720 |
+
"epoch": 55.73,
|
| 4721 |
+
"learning_rate": 6.443228454172367e-07,
|
| 4722 |
+
"loss": 0.3843,
|
| 4723 |
+
"step": 613
|
| 4724 |
+
},
|
| 4725 |
+
{
|
| 4726 |
+
"epoch": 55.82,
|
| 4727 |
+
"learning_rate": 6.40218878248974e-07,
|
| 4728 |
+
"loss": 0.3664,
|
| 4729 |
+
"step": 614
|
| 4730 |
+
},
|
| 4731 |
+
{
|
| 4732 |
+
"epoch": 55.91,
|
| 4733 |
+
"learning_rate": 6.361149110807114e-07,
|
| 4734 |
+
"loss": 0.3787,
|
| 4735 |
+
"step": 615
|
| 4736 |
+
},
|
| 4737 |
+
{
|
| 4738 |
+
"epoch": 56.0,
|
| 4739 |
+
"learning_rate": 6.320109439124487e-07,
|
| 4740 |
+
"loss": 0.4437,
|
| 4741 |
+
"step": 616
|
| 4742 |
+
},
|
| 4743 |
+
{
|
| 4744 |
+
"epoch": 56.09,
|
| 4745 |
+
"learning_rate": 6.27906976744186e-07,
|
| 4746 |
+
"loss": 0.3822,
|
| 4747 |
+
"step": 617
|
| 4748 |
+
},
|
| 4749 |
+
{
|
| 4750 |
+
"epoch": 56.18,
|
| 4751 |
+
"learning_rate": 6.238030095759234e-07,
|
| 4752 |
+
"loss": 0.3639,
|
| 4753 |
+
"step": 618
|
| 4754 |
+
},
|
| 4755 |
+
{
|
| 4756 |
+
"epoch": 56.27,
|
| 4757 |
+
"learning_rate": 6.196990424076607e-07,
|
| 4758 |
+
"loss": 0.3971,
|
| 4759 |
+
"step": 619
|
| 4760 |
+
},
|
| 4761 |
+
{
|
| 4762 |
+
"epoch": 56.36,
|
| 4763 |
+
"learning_rate": 6.155950752393981e-07,
|
| 4764 |
+
"loss": 0.3656,
|
| 4765 |
+
"step": 620
|
| 4766 |
+
},
|
| 4767 |
+
{
|
| 4768 |
+
"epoch": 56.36,
|
| 4769 |
+
"eval_accuracy_safe": 0.6540472087617242,
|
| 4770 |
+
"eval_accuracy_unlabeled": NaN,
|
| 4771 |
+
"eval_accuracy_unsafe": 0.9806777955048699,
|
| 4772 |
+
"eval_iou_safe": 0.41467641232391395,
|
| 4773 |
+
"eval_iou_unlabeled": 0.0,
|
| 4774 |
+
"eval_iou_unsafe": 0.9704675533352136,
|
| 4775 |
+
"eval_loss": 0.3472718894481659,
|
| 4776 |
+
"eval_mean_accuracy": 0.8173625021332971,
|
| 4777 |
+
"eval_mean_iou": 0.46171465521970917,
|
| 4778 |
+
"eval_overall_accuracy": 0.9710296516987815,
|
| 4779 |
+
"eval_runtime": 9.6643,
|
| 4780 |
+
"eval_samples_per_second": 6.933,
|
| 4781 |
+
"eval_steps_per_second": 0.517,
|
| 4782 |
+
"step": 620
|
| 4783 |
+
},
|
| 4784 |
+
{
|
| 4785 |
+
"epoch": 56.45,
|
| 4786 |
+
"learning_rate": 6.114911080711354e-07,
|
| 4787 |
+
"loss": 0.3344,
|
| 4788 |
+
"step": 621
|
| 4789 |
+
},
|
| 4790 |
+
{
|
| 4791 |
+
"epoch": 56.55,
|
| 4792 |
+
"learning_rate": 6.073871409028728e-07,
|
| 4793 |
+
"loss": 0.3539,
|
| 4794 |
+
"step": 622
|
| 4795 |
+
},
|
| 4796 |
+
{
|
| 4797 |
+
"epoch": 56.64,
|
| 4798 |
+
"learning_rate": 6.032831737346101e-07,
|
| 4799 |
+
"loss": 0.3563,
|
| 4800 |
+
"step": 623
|
| 4801 |
+
},
|
| 4802 |
+
{
|
| 4803 |
+
"epoch": 56.73,
|
| 4804 |
+
"learning_rate": 5.991792065663475e-07,
|
| 4805 |
+
"loss": 0.3685,
|
| 4806 |
+
"step": 624
|
| 4807 |
+
},
|
| 4808 |
+
{
|
| 4809 |
+
"epoch": 56.82,
|
| 4810 |
+
"learning_rate": 5.950752393980848e-07,
|
| 4811 |
+
"loss": 0.3558,
|
| 4812 |
+
"step": 625
|
| 4813 |
+
},
|
| 4814 |
+
{
|
| 4815 |
+
"epoch": 56.91,
|
| 4816 |
+
"learning_rate": 5.909712722298222e-07,
|
| 4817 |
+
"loss": 0.3618,
|
| 4818 |
+
"step": 626
|
| 4819 |
+
},
|
| 4820 |
+
{
|
| 4821 |
+
"epoch": 57.0,
|
| 4822 |
+
"learning_rate": 5.868673050615595e-07,
|
| 4823 |
+
"loss": 0.422,
|
| 4824 |
+
"step": 627
|
| 4825 |
+
},
|
| 4826 |
+
{
|
| 4827 |
+
"epoch": 57.09,
|
| 4828 |
+
"learning_rate": 5.827633378932969e-07,
|
| 4829 |
+
"loss": 0.3629,
|
| 4830 |
+
"step": 628
|
| 4831 |
+
},
|
| 4832 |
+
{
|
| 4833 |
+
"epoch": 57.18,
|
| 4834 |
+
"learning_rate": 5.786593707250342e-07,
|
| 4835 |
+
"loss": 0.348,
|
| 4836 |
+
"step": 629
|
| 4837 |
+
},
|
| 4838 |
+
{
|
| 4839 |
+
"epoch": 57.27,
|
| 4840 |
+
"learning_rate": 5.745554035567716e-07,
|
| 4841 |
+
"loss": 0.3341,
|
| 4842 |
+
"step": 630
|
| 4843 |
+
},
|
| 4844 |
+
{
|
| 4845 |
+
"epoch": 57.27,
|
| 4846 |
+
"eval_accuracy_safe": 0.6257917278653513,
|
| 4847 |
+
"eval_accuracy_unlabeled": NaN,
|
| 4848 |
+
"eval_accuracy_unsafe": 0.9845255862094618,
|
| 4849 |
+
"eval_iou_safe": 0.4246501164098674,
|
| 4850 |
+
"eval_iou_unlabeled": 0.0,
|
| 4851 |
+
"eval_iou_unsafe": 0.9734443258687906,
|
| 4852 |
+
"eval_loss": 0.3334999680519104,
|
| 4853 |
+
"eval_mean_accuracy": 0.8051586570374065,
|
| 4854 |
+
"eval_mean_iou": 0.4660314807595527,
|
| 4855 |
+
"eval_overall_accuracy": 0.973929163235337,
|
| 4856 |
+
"eval_runtime": 9.6696,
|
| 4857 |
+
"eval_samples_per_second": 6.929,
|
| 4858 |
+
"eval_steps_per_second": 0.517,
|
| 4859 |
+
"step": 630
|
| 4860 |
+
},
|
| 4861 |
+
{
|
| 4862 |
+
"epoch": 57.36,
|
| 4863 |
+
"learning_rate": 5.704514363885089e-07,
|
| 4864 |
+
"loss": 0.3766,
|
| 4865 |
+
"step": 631
|
| 4866 |
+
},
|
| 4867 |
+
{
|
| 4868 |
+
"epoch": 57.45,
|
| 4869 |
+
"learning_rate": 5.663474692202463e-07,
|
| 4870 |
+
"loss": 0.3456,
|
| 4871 |
+
"step": 632
|
| 4872 |
+
},
|
| 4873 |
+
{
|
| 4874 |
+
"epoch": 57.55,
|
| 4875 |
+
"learning_rate": 5.622435020519836e-07,
|
| 4876 |
+
"loss": 0.3709,
|
| 4877 |
+
"step": 633
|
| 4878 |
+
},
|
| 4879 |
+
{
|
| 4880 |
+
"epoch": 57.64,
|
| 4881 |
+
"learning_rate": 5.58139534883721e-07,
|
| 4882 |
+
"loss": 0.355,
|
| 4883 |
+
"step": 634
|
| 4884 |
+
},
|
| 4885 |
+
{
|
| 4886 |
+
"epoch": 57.73,
|
| 4887 |
+
"learning_rate": 5.540355677154583e-07,
|
| 4888 |
+
"loss": 0.3679,
|
| 4889 |
+
"step": 635
|
| 4890 |
+
},
|
| 4891 |
+
{
|
| 4892 |
+
"epoch": 57.82,
|
| 4893 |
+
"learning_rate": 5.499316005471957e-07,
|
| 4894 |
+
"loss": 0.3541,
|
| 4895 |
+
"step": 636
|
| 4896 |
+
},
|
| 4897 |
+
{
|
| 4898 |
+
"epoch": 57.91,
|
| 4899 |
+
"learning_rate": 5.45827633378933e-07,
|
| 4900 |
+
"loss": 0.3495,
|
| 4901 |
+
"step": 637
|
| 4902 |
+
},
|
| 4903 |
+
{
|
| 4904 |
+
"epoch": 58.0,
|
| 4905 |
+
"learning_rate": 5.417236662106703e-07,
|
| 4906 |
+
"loss": 0.384,
|
| 4907 |
+
"step": 638
|
| 4908 |
+
},
|
| 4909 |
+
{
|
| 4910 |
+
"epoch": 58.09,
|
| 4911 |
+
"learning_rate": 5.376196990424077e-07,
|
| 4912 |
+
"loss": 0.393,
|
| 4913 |
+
"step": 639
|
| 4914 |
+
},
|
| 4915 |
+
{
|
| 4916 |
+
"epoch": 58.18,
|
| 4917 |
+
"learning_rate": 5.33515731874145e-07,
|
| 4918 |
+
"loss": 0.3669,
|
| 4919 |
+
"step": 640
|
| 4920 |
+
},
|
| 4921 |
+
{
|
| 4922 |
+
"epoch": 58.18,
|
| 4923 |
+
"eval_accuracy_safe": 0.6495040497145347,
|
| 4924 |
+
"eval_accuracy_unlabeled": NaN,
|
| 4925 |
+
"eval_accuracy_unsafe": 0.9815480879088024,
|
| 4926 |
+
"eval_iou_safe": 0.41900261749180867,
|
| 4927 |
+
"eval_iou_unlabeled": 0.0,
|
| 4928 |
+
"eval_iou_unsafe": 0.971195827459642,
|
| 4929 |
+
"eval_loss": 0.33950886130332947,
|
| 4930 |
+
"eval_mean_accuracy": 0.8155260688116686,
|
| 4931 |
+
"eval_mean_iou": 0.46339948165048356,
|
| 4932 |
+
"eval_overall_accuracy": 0.971740039426889,
|
| 4933 |
+
"eval_runtime": 9.4613,
|
| 4934 |
+
"eval_samples_per_second": 7.082,
|
| 4935 |
+
"eval_steps_per_second": 0.528,
|
| 4936 |
+
"step": 640
|
| 4937 |
}
|
| 4938 |
],
|
| 4939 |
+
"max_steps": 770,
|
| 4940 |
+
"num_train_epochs": 70,
|
| 4941 |
+
"total_flos": 3.577382708632879e+18,
|
| 4942 |
"trial_name": null,
|
| 4943 |
"trial_params": null
|
| 4944 |
}
|
{checkpoint-440 → checkpoint-640}/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 sha256:4eace359a2cce71ace82d871805378f683d0c3a353b42237b502fd229c4c341d
|
| 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 sha256:93e2688d28ef45dbd17c545048c9555b01b18a7b3d3dafb5b81172b05ea12a97
|
| 3 |
size 338796489
|
runs/Feb07_23-24-48_robovision.csres.utexas.edu/events.out.tfevents.1707369894.robovision.csres.utexas.edu.767124.0
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:e04dfcaab3cb8a59c7f8f97c55123e4a80f0705f07ba16840a4611b239f33f80
|
| 3 |
+
size 32963
|