Training in progress, step 320
Browse files- {checkpoint-120 → checkpoint-320}/config.json +0 -0
- {checkpoint-120 → checkpoint-320}/optimizer.pt +2 -2
- {checkpoint-120 → checkpoint-320}/pytorch_model.bin +1 -1
- {checkpoint-120 → checkpoint-320}/rng_state.pth +1 -1
- {checkpoint-120 → checkpoint-320}/scheduler.pt +1 -1
- {checkpoint-120 → checkpoint-320}/trainer_state.json +1545 -5
- {checkpoint-120 → checkpoint-320}/training_args.bin +0 -0
- pytorch_model.bin +1 -1
- runs/Feb12_06-10-26_robovision.csres.utexas.edu/events.out.tfevents.1707739842.robovision.csres.utexas.edu.2691488.0 +2 -2
{checkpoint-120 → checkpoint-320}/config.json
RENAMED
|
File without changes
|
{checkpoint-120 → checkpoint-320}/optimizer.pt
RENAMED
|
@@ -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:c0d216664bc0a9f99c5ad558df25ae399a5d9bfb73c1122a420a73dba0ffbec8
|
| 3 |
+
size 29839045
|
{checkpoint-120 → checkpoint-320}/pytorch_model.bin
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14932813
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a55ec50fc42ea86d9ec6df99fd09fafedf78db1bbbfa6b1133fb7d585c613bea
|
| 3 |
size 14932813
|
{checkpoint-120 → checkpoint-320}/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:ba9cc236dc1d82d4d4ac62939e76435c9e90b4aa0e307deefb6d1176c91593cd
|
| 3 |
size 14575
|
{checkpoint-120 → checkpoint-320}/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 sha256:330391c2b96f5b10bdefb3b0fcbf104b8dad2214cdfe155043804279606b54cd
|
| 3 |
size 627
|
{checkpoint-120 → checkpoint-320}/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/dropoff-utcustom-train-SF-RGB-b0_4/checkpoint-
|
| 4 |
-
"epoch":
|
| 5 |
-
"global_step":
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
|
@@ -930,11 +930,1551 @@
|
|
| 930 |
"eval_samples_per_second": 8.654,
|
| 931 |
"eval_steps_per_second": 0.577,
|
| 932 |
"step": 120
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 933 |
}
|
| 934 |
],
|
| 935 |
"max_steps": 360,
|
| 936 |
"num_train_epochs": 120,
|
| 937 |
-
"total_flos":
|
| 938 |
"trial_name": null,
|
| 939 |
"trial_params": null
|
| 940 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.30429932475090027,
|
| 3 |
+
"best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/dropoff-utcustom-train-SF-RGB-b0_4/checkpoint-320",
|
| 4 |
+
"epoch": 106.66666666666667,
|
| 5 |
+
"global_step": 320,
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
|
|
|
| 930 |
"eval_samples_per_second": 8.654,
|
| 931 |
"eval_steps_per_second": 0.577,
|
| 932 |
"step": 120
|
| 933 |
+
},
|
| 934 |
+
{
|
| 935 |
+
"epoch": 40.33,
|
| 936 |
+
"learning_rate": 2.0964912280701754e-05,
|
| 937 |
+
"loss": 0.4144,
|
| 938 |
+
"step": 121
|
| 939 |
+
},
|
| 940 |
+
{
|
| 941 |
+
"epoch": 40.67,
|
| 942 |
+
"learning_rate": 2.087719298245614e-05,
|
| 943 |
+
"loss": 0.402,
|
| 944 |
+
"step": 122
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 41.0,
|
| 948 |
+
"learning_rate": 2.078947368421053e-05,
|
| 949 |
+
"loss": 0.5807,
|
| 950 |
+
"step": 123
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 41.33,
|
| 954 |
+
"learning_rate": 2.070175438596491e-05,
|
| 955 |
+
"loss": 0.3997,
|
| 956 |
+
"step": 124
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 41.67,
|
| 960 |
+
"learning_rate": 2.06140350877193e-05,
|
| 961 |
+
"loss": 0.41,
|
| 962 |
+
"step": 125
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 42.0,
|
| 966 |
+
"learning_rate": 2.0526315789473685e-05,
|
| 967 |
+
"loss": 0.4006,
|
| 968 |
+
"step": 126
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 42.33,
|
| 972 |
+
"learning_rate": 2.043859649122807e-05,
|
| 973 |
+
"loss": 0.3902,
|
| 974 |
+
"step": 127
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 42.67,
|
| 978 |
+
"learning_rate": 2.0350877192982456e-05,
|
| 979 |
+
"loss": 0.4117,
|
| 980 |
+
"step": 128
|
| 981 |
+
},
|
| 982 |
+
{
|
| 983 |
+
"epoch": 43.0,
|
| 984 |
+
"learning_rate": 2.0263157894736842e-05,
|
| 985 |
+
"loss": 0.5749,
|
| 986 |
+
"step": 129
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"epoch": 43.33,
|
| 990 |
+
"learning_rate": 2.017543859649123e-05,
|
| 991 |
+
"loss": 0.4051,
|
| 992 |
+
"step": 130
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 43.33,
|
| 996 |
+
"eval_accuracy_dropoff": 0.36874238978105545,
|
| 997 |
+
"eval_accuracy_undropoff": 0.988090106257178,
|
| 998 |
+
"eval_accuracy_unlabeled": NaN,
|
| 999 |
+
"eval_iou_dropoff": 0.2933347344950792,
|
| 1000 |
+
"eval_iou_undropoff": 0.9600137953892479,
|
| 1001 |
+
"eval_iou_unlabeled": NaN,
|
| 1002 |
+
"eval_loss": 0.39108747243881226,
|
| 1003 |
+
"eval_mean_accuracy": 0.6784162480191167,
|
| 1004 |
+
"eval_mean_iou": 0.6266742649421635,
|
| 1005 |
+
"eval_overall_accuracy": 0.9606666564941406,
|
| 1006 |
+
"eval_runtime": 1.6827,
|
| 1007 |
+
"eval_samples_per_second": 8.914,
|
| 1008 |
+
"eval_steps_per_second": 0.594,
|
| 1009 |
+
"step": 130
|
| 1010 |
+
},
|
| 1011 |
+
{
|
| 1012 |
+
"epoch": 43.67,
|
| 1013 |
+
"learning_rate": 2.0087719298245616e-05,
|
| 1014 |
+
"loss": 0.3734,
|
| 1015 |
+
"step": 131
|
| 1016 |
+
},
|
| 1017 |
+
{
|
| 1018 |
+
"epoch": 44.0,
|
| 1019 |
+
"learning_rate": 1.9999999999999998e-05,
|
| 1020 |
+
"loss": 0.5556,
|
| 1021 |
+
"step": 132
|
| 1022 |
+
},
|
| 1023 |
+
{
|
| 1024 |
+
"epoch": 44.33,
|
| 1025 |
+
"learning_rate": 1.9912280701754387e-05,
|
| 1026 |
+
"loss": 0.3779,
|
| 1027 |
+
"step": 133
|
| 1028 |
+
},
|
| 1029 |
+
{
|
| 1030 |
+
"epoch": 44.67,
|
| 1031 |
+
"learning_rate": 1.9824561403508773e-05,
|
| 1032 |
+
"loss": 0.4217,
|
| 1033 |
+
"step": 134
|
| 1034 |
+
},
|
| 1035 |
+
{
|
| 1036 |
+
"epoch": 45.0,
|
| 1037 |
+
"learning_rate": 1.9736842105263158e-05,
|
| 1038 |
+
"loss": 0.4264,
|
| 1039 |
+
"step": 135
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 45.33,
|
| 1043 |
+
"learning_rate": 1.9649122807017544e-05,
|
| 1044 |
+
"loss": 0.3953,
|
| 1045 |
+
"step": 136
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 45.67,
|
| 1049 |
+
"learning_rate": 1.956140350877193e-05,
|
| 1050 |
+
"loss": 0.3816,
|
| 1051 |
+
"step": 137
|
| 1052 |
+
},
|
| 1053 |
+
{
|
| 1054 |
+
"epoch": 46.0,
|
| 1055 |
+
"learning_rate": 1.9473684210526318e-05,
|
| 1056 |
+
"loss": 0.3782,
|
| 1057 |
+
"step": 138
|
| 1058 |
+
},
|
| 1059 |
+
{
|
| 1060 |
+
"epoch": 46.33,
|
| 1061 |
+
"learning_rate": 1.9385964912280704e-05,
|
| 1062 |
+
"loss": 0.3847,
|
| 1063 |
+
"step": 139
|
| 1064 |
+
},
|
| 1065 |
+
{
|
| 1066 |
+
"epoch": 46.67,
|
| 1067 |
+
"learning_rate": 1.9298245614035086e-05,
|
| 1068 |
+
"loss": 0.3916,
|
| 1069 |
+
"step": 140
|
| 1070 |
+
},
|
| 1071 |
+
{
|
| 1072 |
+
"epoch": 46.67,
|
| 1073 |
+
"eval_accuracy_dropoff": 0.3946401084384405,
|
| 1074 |
+
"eval_accuracy_undropoff": 0.9847460865363226,
|
| 1075 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1076 |
+
"eval_iou_dropoff": 0.2968983605990684,
|
| 1077 |
+
"eval_iou_undropoff": 0.9578814272217836,
|
| 1078 |
+
"eval_iou_unlabeled": 0.0,
|
| 1079 |
+
"eval_loss": 0.3841036558151245,
|
| 1080 |
+
"eval_mean_accuracy": 0.6896930974873815,
|
| 1081 |
+
"eval_mean_iou": 0.4182599292736173,
|
| 1082 |
+
"eval_overall_accuracy": 0.9586174011230468,
|
| 1083 |
+
"eval_runtime": 1.7237,
|
| 1084 |
+
"eval_samples_per_second": 8.702,
|
| 1085 |
+
"eval_steps_per_second": 0.58,
|
| 1086 |
+
"step": 140
|
| 1087 |
+
},
|
| 1088 |
+
{
|
| 1089 |
+
"epoch": 47.0,
|
| 1090 |
+
"learning_rate": 1.9210526315789474e-05,
|
| 1091 |
+
"loss": 0.4951,
|
| 1092 |
+
"step": 141
|
| 1093 |
+
},
|
| 1094 |
+
{
|
| 1095 |
+
"epoch": 47.33,
|
| 1096 |
+
"learning_rate": 1.912280701754386e-05,
|
| 1097 |
+
"loss": 0.3793,
|
| 1098 |
+
"step": 142
|
| 1099 |
+
},
|
| 1100 |
+
{
|
| 1101 |
+
"epoch": 47.67,
|
| 1102 |
+
"learning_rate": 1.903508771929825e-05,
|
| 1103 |
+
"loss": 0.3648,
|
| 1104 |
+
"step": 143
|
| 1105 |
+
},
|
| 1106 |
+
{
|
| 1107 |
+
"epoch": 48.0,
|
| 1108 |
+
"learning_rate": 1.894736842105263e-05,
|
| 1109 |
+
"loss": 0.5335,
|
| 1110 |
+
"step": 144
|
| 1111 |
+
},
|
| 1112 |
+
{
|
| 1113 |
+
"epoch": 48.33,
|
| 1114 |
+
"learning_rate": 1.8859649122807016e-05,
|
| 1115 |
+
"loss": 0.3717,
|
| 1116 |
+
"step": 145
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 48.67,
|
| 1120 |
+
"learning_rate": 1.8771929824561405e-05,
|
| 1121 |
+
"loss": 0.3662,
|
| 1122 |
+
"step": 146
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 49.0,
|
| 1126 |
+
"learning_rate": 1.868421052631579e-05,
|
| 1127 |
+
"loss": 0.4247,
|
| 1128 |
+
"step": 147
|
| 1129 |
+
},
|
| 1130 |
+
{
|
| 1131 |
+
"epoch": 49.33,
|
| 1132 |
+
"learning_rate": 1.8596491228070176e-05,
|
| 1133 |
+
"loss": 0.3713,
|
| 1134 |
+
"step": 148
|
| 1135 |
+
},
|
| 1136 |
+
{
|
| 1137 |
+
"epoch": 49.67,
|
| 1138 |
+
"learning_rate": 1.8508771929824562e-05,
|
| 1139 |
+
"loss": 0.3755,
|
| 1140 |
+
"step": 149
|
| 1141 |
+
},
|
| 1142 |
+
{
|
| 1143 |
+
"epoch": 50.0,
|
| 1144 |
+
"learning_rate": 1.8421052631578947e-05,
|
| 1145 |
+
"loss": 0.3713,
|
| 1146 |
+
"step": 150
|
| 1147 |
+
},
|
| 1148 |
+
{
|
| 1149 |
+
"epoch": 50.0,
|
| 1150 |
+
"eval_accuracy_dropoff": 0.4149378546649206,
|
| 1151 |
+
"eval_accuracy_undropoff": 0.985304354490039,
|
| 1152 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1153 |
+
"eval_iou_dropoff": 0.3150330103522558,
|
| 1154 |
+
"eval_iou_undropoff": 0.9593019640841925,
|
| 1155 |
+
"eval_iou_unlabeled": 0.0,
|
| 1156 |
+
"eval_loss": 0.3788051903247833,
|
| 1157 |
+
"eval_mean_accuracy": 0.7001211045774798,
|
| 1158 |
+
"eval_mean_iou": 0.42477832481214944,
|
| 1159 |
+
"eval_overall_accuracy": 0.9600496927897135,
|
| 1160 |
+
"eval_runtime": 1.7595,
|
| 1161 |
+
"eval_samples_per_second": 8.525,
|
| 1162 |
+
"eval_steps_per_second": 0.568,
|
| 1163 |
+
"step": 150
|
| 1164 |
+
},
|
| 1165 |
+
{
|
| 1166 |
+
"epoch": 50.33,
|
| 1167 |
+
"learning_rate": 1.8333333333333336e-05,
|
| 1168 |
+
"loss": 0.3736,
|
| 1169 |
+
"step": 151
|
| 1170 |
+
},
|
| 1171 |
+
{
|
| 1172 |
+
"epoch": 50.67,
|
| 1173 |
+
"learning_rate": 1.824561403508772e-05,
|
| 1174 |
+
"loss": 0.3547,
|
| 1175 |
+
"step": 152
|
| 1176 |
+
},
|
| 1177 |
+
{
|
| 1178 |
+
"epoch": 51.0,
|
| 1179 |
+
"learning_rate": 1.8157894736842107e-05,
|
| 1180 |
+
"loss": 0.3802,
|
| 1181 |
+
"step": 153
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"epoch": 51.33,
|
| 1185 |
+
"learning_rate": 1.8070175438596493e-05,
|
| 1186 |
+
"loss": 0.3797,
|
| 1187 |
+
"step": 154
|
| 1188 |
+
},
|
| 1189 |
+
{
|
| 1190 |
+
"epoch": 51.67,
|
| 1191 |
+
"learning_rate": 1.7982456140350878e-05,
|
| 1192 |
+
"loss": 0.3422,
|
| 1193 |
+
"step": 155
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 52.0,
|
| 1197 |
+
"learning_rate": 1.7894736842105264e-05,
|
| 1198 |
+
"loss": 0.5229,
|
| 1199 |
+
"step": 156
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 52.33,
|
| 1203 |
+
"learning_rate": 1.780701754385965e-05,
|
| 1204 |
+
"loss": 0.3524,
|
| 1205 |
+
"step": 157
|
| 1206 |
+
},
|
| 1207 |
+
{
|
| 1208 |
+
"epoch": 52.67,
|
| 1209 |
+
"learning_rate": 1.7719298245614035e-05,
|
| 1210 |
+
"loss": 0.3746,
|
| 1211 |
+
"step": 158
|
| 1212 |
+
},
|
| 1213 |
+
{
|
| 1214 |
+
"epoch": 53.0,
|
| 1215 |
+
"learning_rate": 1.7631578947368424e-05,
|
| 1216 |
+
"loss": 0.358,
|
| 1217 |
+
"step": 159
|
| 1218 |
+
},
|
| 1219 |
+
{
|
| 1220 |
+
"epoch": 53.33,
|
| 1221 |
+
"learning_rate": 1.7543859649122806e-05,
|
| 1222 |
+
"loss": 0.359,
|
| 1223 |
+
"step": 160
|
| 1224 |
+
},
|
| 1225 |
+
{
|
| 1226 |
+
"epoch": 53.33,
|
| 1227 |
+
"eval_accuracy_dropoff": 0.3639120545868082,
|
| 1228 |
+
"eval_accuracy_undropoff": 0.9883447594658084,
|
| 1229 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1230 |
+
"eval_iou_dropoff": 0.2907635756210161,
|
| 1231 |
+
"eval_iou_undropoff": 0.9600524710504549,
|
| 1232 |
+
"eval_iou_unlabeled": NaN,
|
| 1233 |
+
"eval_loss": 0.37188878655433655,
|
| 1234 |
+
"eval_mean_accuracy": 0.6761284070263083,
|
| 1235 |
+
"eval_mean_iou": 0.6254080233357355,
|
| 1236 |
+
"eval_overall_accuracy": 0.9606961568196615,
|
| 1237 |
+
"eval_runtime": 1.6982,
|
| 1238 |
+
"eval_samples_per_second": 8.833,
|
| 1239 |
+
"eval_steps_per_second": 0.589,
|
| 1240 |
+
"step": 160
|
| 1241 |
+
},
|
| 1242 |
+
{
|
| 1243 |
+
"epoch": 53.67,
|
| 1244 |
+
"learning_rate": 1.7456140350877195e-05,
|
| 1245 |
+
"loss": 0.3485,
|
| 1246 |
+
"step": 161
|
| 1247 |
+
},
|
| 1248 |
+
{
|
| 1249 |
+
"epoch": 54.0,
|
| 1250 |
+
"learning_rate": 1.736842105263158e-05,
|
| 1251 |
+
"loss": 0.5096,
|
| 1252 |
+
"step": 162
|
| 1253 |
+
},
|
| 1254 |
+
{
|
| 1255 |
+
"epoch": 54.33,
|
| 1256 |
+
"learning_rate": 1.7280701754385966e-05,
|
| 1257 |
+
"loss": 0.3459,
|
| 1258 |
+
"step": 163
|
| 1259 |
+
},
|
| 1260 |
+
{
|
| 1261 |
+
"epoch": 54.67,
|
| 1262 |
+
"learning_rate": 1.719298245614035e-05,
|
| 1263 |
+
"loss": 0.3438,
|
| 1264 |
+
"step": 164
|
| 1265 |
+
},
|
| 1266 |
+
{
|
| 1267 |
+
"epoch": 55.0,
|
| 1268 |
+
"learning_rate": 1.7105263157894737e-05,
|
| 1269 |
+
"loss": 0.3643,
|
| 1270 |
+
"step": 165
|
| 1271 |
+
},
|
| 1272 |
+
{
|
| 1273 |
+
"epoch": 55.33,
|
| 1274 |
+
"learning_rate": 1.7017543859649125e-05,
|
| 1275 |
+
"loss": 0.3394,
|
| 1276 |
+
"step": 166
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 55.67,
|
| 1280 |
+
"learning_rate": 1.692982456140351e-05,
|
| 1281 |
+
"loss": 0.3391,
|
| 1282 |
+
"step": 167
|
| 1283 |
+
},
|
| 1284 |
+
{
|
| 1285 |
+
"epoch": 56.0,
|
| 1286 |
+
"learning_rate": 1.6842105263157893e-05,
|
| 1287 |
+
"loss": 0.4763,
|
| 1288 |
+
"step": 168
|
| 1289 |
+
},
|
| 1290 |
+
{
|
| 1291 |
+
"epoch": 56.33,
|
| 1292 |
+
"learning_rate": 1.6754385964912282e-05,
|
| 1293 |
+
"loss": 0.3345,
|
| 1294 |
+
"step": 169
|
| 1295 |
+
},
|
| 1296 |
+
{
|
| 1297 |
+
"epoch": 56.67,
|
| 1298 |
+
"learning_rate": 1.6666666666666667e-05,
|
| 1299 |
+
"loss": 0.3459,
|
| 1300 |
+
"step": 170
|
| 1301 |
+
},
|
| 1302 |
+
{
|
| 1303 |
+
"epoch": 56.67,
|
| 1304 |
+
"eval_accuracy_dropoff": 0.3673352172214947,
|
| 1305 |
+
"eval_accuracy_undropoff": 0.9875539242139278,
|
| 1306 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1307 |
+
"eval_iou_dropoff": 0.2895495764687773,
|
| 1308 |
+
"eval_iou_undropoff": 0.9594320775222817,
|
| 1309 |
+
"eval_iou_unlabeled": NaN,
|
| 1310 |
+
"eval_loss": 0.36101919412612915,
|
| 1311 |
+
"eval_mean_accuracy": 0.6774445707177112,
|
| 1312 |
+
"eval_mean_iou": 0.6244908269955295,
|
| 1313 |
+
"eval_overall_accuracy": 0.9600919087727865,
|
| 1314 |
+
"eval_runtime": 1.7029,
|
| 1315 |
+
"eval_samples_per_second": 8.809,
|
| 1316 |
+
"eval_steps_per_second": 0.587,
|
| 1317 |
+
"step": 170
|
| 1318 |
+
},
|
| 1319 |
+
{
|
| 1320 |
+
"epoch": 57.0,
|
| 1321 |
+
"learning_rate": 1.6578947368421053e-05,
|
| 1322 |
+
"loss": 0.4976,
|
| 1323 |
+
"step": 171
|
| 1324 |
+
},
|
| 1325 |
+
{
|
| 1326 |
+
"epoch": 57.33,
|
| 1327 |
+
"learning_rate": 1.649122807017544e-05,
|
| 1328 |
+
"loss": 0.3417,
|
| 1329 |
+
"step": 172
|
| 1330 |
+
},
|
| 1331 |
+
{
|
| 1332 |
+
"epoch": 57.67,
|
| 1333 |
+
"learning_rate": 1.6403508771929824e-05,
|
| 1334 |
+
"loss": 0.3344,
|
| 1335 |
+
"step": 173
|
| 1336 |
+
},
|
| 1337 |
+
{
|
| 1338 |
+
"epoch": 58.0,
|
| 1339 |
+
"learning_rate": 1.6315789473684213e-05,
|
| 1340 |
+
"loss": 0.5173,
|
| 1341 |
+
"step": 174
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"epoch": 58.33,
|
| 1345 |
+
"learning_rate": 1.62280701754386e-05,
|
| 1346 |
+
"loss": 0.3219,
|
| 1347 |
+
"step": 175
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"epoch": 58.67,
|
| 1351 |
+
"learning_rate": 1.614035087719298e-05,
|
| 1352 |
+
"loss": 0.356,
|
| 1353 |
+
"step": 176
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 59.0,
|
| 1357 |
+
"learning_rate": 1.605263157894737e-05,
|
| 1358 |
+
"loss": 0.3378,
|
| 1359 |
+
"step": 177
|
| 1360 |
+
},
|
| 1361 |
+
{
|
| 1362 |
+
"epoch": 59.33,
|
| 1363 |
+
"learning_rate": 1.5964912280701755e-05,
|
| 1364 |
+
"loss": 0.3379,
|
| 1365 |
+
"step": 178
|
| 1366 |
+
},
|
| 1367 |
+
{
|
| 1368 |
+
"epoch": 59.67,
|
| 1369 |
+
"learning_rate": 1.5877192982456144e-05,
|
| 1370 |
+
"loss": 0.3279,
|
| 1371 |
+
"step": 179
|
| 1372 |
+
},
|
| 1373 |
+
{
|
| 1374 |
+
"epoch": 60.0,
|
| 1375 |
+
"learning_rate": 1.5789473684210526e-05,
|
| 1376 |
+
"loss": 0.3099,
|
| 1377 |
+
"step": 180
|
| 1378 |
+
},
|
| 1379 |
+
{
|
| 1380 |
+
"epoch": 60.0,
|
| 1381 |
+
"eval_accuracy_dropoff": 0.346790497851908,
|
| 1382 |
+
"eval_accuracy_undropoff": 0.9905155649788774,
|
| 1383 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1384 |
+
"eval_iou_dropoff": 0.28786036776940277,
|
| 1385 |
+
"eval_iou_undropoff": 0.9614203385986966,
|
| 1386 |
+
"eval_iou_unlabeled": NaN,
|
| 1387 |
+
"eval_loss": 0.3455052673816681,
|
| 1388 |
+
"eval_mean_accuracy": 0.6686530314153927,
|
| 1389 |
+
"eval_mean_iou": 0.6246403531840496,
|
| 1390 |
+
"eval_overall_accuracy": 0.9620127360026042,
|
| 1391 |
+
"eval_runtime": 1.7655,
|
| 1392 |
+
"eval_samples_per_second": 8.496,
|
| 1393 |
+
"eval_steps_per_second": 0.566,
|
| 1394 |
+
"step": 180
|
| 1395 |
+
},
|
| 1396 |
+
{
|
| 1397 |
+
"epoch": 60.33,
|
| 1398 |
+
"learning_rate": 1.570175438596491e-05,
|
| 1399 |
+
"loss": 0.339,
|
| 1400 |
+
"step": 181
|
| 1401 |
+
},
|
| 1402 |
+
{
|
| 1403 |
+
"epoch": 60.67,
|
| 1404 |
+
"learning_rate": 1.56140350877193e-05,
|
| 1405 |
+
"loss": 0.327,
|
| 1406 |
+
"step": 182
|
| 1407 |
+
},
|
| 1408 |
+
{
|
| 1409 |
+
"epoch": 61.0,
|
| 1410 |
+
"learning_rate": 1.5526315789473686e-05,
|
| 1411 |
+
"loss": 0.3886,
|
| 1412 |
+
"step": 183
|
| 1413 |
+
},
|
| 1414 |
+
{
|
| 1415 |
+
"epoch": 61.33,
|
| 1416 |
+
"learning_rate": 1.543859649122807e-05,
|
| 1417 |
+
"loss": 0.3251,
|
| 1418 |
+
"step": 184
|
| 1419 |
+
},
|
| 1420 |
+
{
|
| 1421 |
+
"epoch": 61.67,
|
| 1422 |
+
"learning_rate": 1.5350877192982457e-05,
|
| 1423 |
+
"loss": 0.3521,
|
| 1424 |
+
"step": 185
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 62.0,
|
| 1428 |
+
"learning_rate": 1.5263157894736842e-05,
|
| 1429 |
+
"loss": 0.3063,
|
| 1430 |
+
"step": 186
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 62.33,
|
| 1434 |
+
"learning_rate": 1.517543859649123e-05,
|
| 1435 |
+
"loss": 0.3185,
|
| 1436 |
+
"step": 187
|
| 1437 |
+
},
|
| 1438 |
+
{
|
| 1439 |
+
"epoch": 62.67,
|
| 1440 |
+
"learning_rate": 1.5087719298245613e-05,
|
| 1441 |
+
"loss": 0.3333,
|
| 1442 |
+
"step": 188
|
| 1443 |
+
},
|
| 1444 |
+
{
|
| 1445 |
+
"epoch": 63.0,
|
| 1446 |
+
"learning_rate": 1.5e-05,
|
| 1447 |
+
"loss": 0.4778,
|
| 1448 |
+
"step": 189
|
| 1449 |
+
},
|
| 1450 |
+
{
|
| 1451 |
+
"epoch": 63.33,
|
| 1452 |
+
"learning_rate": 1.4912280701754386e-05,
|
| 1453 |
+
"loss": 0.3124,
|
| 1454 |
+
"step": 190
|
| 1455 |
+
},
|
| 1456 |
+
{
|
| 1457 |
+
"epoch": 63.33,
|
| 1458 |
+
"eval_accuracy_dropoff": 0.3634008776161923,
|
| 1459 |
+
"eval_accuracy_undropoff": 0.9891810970151558,
|
| 1460 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1461 |
+
"eval_iou_dropoff": 0.2946043600942421,
|
| 1462 |
+
"eval_iou_undropoff": 0.9608427639045731,
|
| 1463 |
+
"eval_iou_unlabeled": NaN,
|
| 1464 |
+
"eval_loss": 0.34364980459213257,
|
| 1465 |
+
"eval_mean_accuracy": 0.676290987315674,
|
| 1466 |
+
"eval_mean_iou": 0.6277235619994076,
|
| 1467 |
+
"eval_overall_accuracy": 0.9614728291829427,
|
| 1468 |
+
"eval_runtime": 1.772,
|
| 1469 |
+
"eval_samples_per_second": 8.465,
|
| 1470 |
+
"eval_steps_per_second": 0.564,
|
| 1471 |
+
"step": 190
|
| 1472 |
+
},
|
| 1473 |
+
{
|
| 1474 |
+
"epoch": 63.67,
|
| 1475 |
+
"learning_rate": 1.4824561403508773e-05,
|
| 1476 |
+
"loss": 0.345,
|
| 1477 |
+
"step": 191
|
| 1478 |
+
},
|
| 1479 |
+
{
|
| 1480 |
+
"epoch": 64.0,
|
| 1481 |
+
"learning_rate": 1.4736842105263157e-05,
|
| 1482 |
+
"loss": 0.4656,
|
| 1483 |
+
"step": 192
|
| 1484 |
+
},
|
| 1485 |
+
{
|
| 1486 |
+
"epoch": 64.33,
|
| 1487 |
+
"learning_rate": 1.4649122807017544e-05,
|
| 1488 |
+
"loss": 0.3192,
|
| 1489 |
+
"step": 193
|
| 1490 |
+
},
|
| 1491 |
+
{
|
| 1492 |
+
"epoch": 64.67,
|
| 1493 |
+
"learning_rate": 1.456140350877193e-05,
|
| 1494 |
+
"loss": 0.3167,
|
| 1495 |
+
"step": 194
|
| 1496 |
+
},
|
| 1497 |
+
{
|
| 1498 |
+
"epoch": 65.0,
|
| 1499 |
+
"learning_rate": 1.4473684210526317e-05,
|
| 1500 |
+
"loss": 0.31,
|
| 1501 |
+
"step": 195
|
| 1502 |
+
},
|
| 1503 |
+
{
|
| 1504 |
+
"epoch": 65.33,
|
| 1505 |
+
"learning_rate": 1.43859649122807e-05,
|
| 1506 |
+
"loss": 0.3142,
|
| 1507 |
+
"step": 196
|
| 1508 |
+
},
|
| 1509 |
+
{
|
| 1510 |
+
"epoch": 65.67,
|
| 1511 |
+
"learning_rate": 1.4298245614035088e-05,
|
| 1512 |
+
"loss": 0.3105,
|
| 1513 |
+
"step": 197
|
| 1514 |
+
},
|
| 1515 |
+
{
|
| 1516 |
+
"epoch": 66.0,
|
| 1517 |
+
"learning_rate": 1.4210526315789473e-05,
|
| 1518 |
+
"loss": 0.3048,
|
| 1519 |
+
"step": 198
|
| 1520 |
+
},
|
| 1521 |
+
{
|
| 1522 |
+
"epoch": 66.33,
|
| 1523 |
+
"learning_rate": 1.412280701754386e-05,
|
| 1524 |
+
"loss": 0.2952,
|
| 1525 |
+
"step": 199
|
| 1526 |
+
},
|
| 1527 |
+
{
|
| 1528 |
+
"epoch": 66.67,
|
| 1529 |
+
"learning_rate": 1.4035087719298246e-05,
|
| 1530 |
+
"loss": 0.3283,
|
| 1531 |
+
"step": 200
|
| 1532 |
+
},
|
| 1533 |
+
{
|
| 1534 |
+
"epoch": 66.67,
|
| 1535 |
+
"eval_accuracy_dropoff": 0.32855469019229444,
|
| 1536 |
+
"eval_accuracy_undropoff": 0.9928226112890401,
|
| 1537 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1538 |
+
"eval_iou_dropoff": 0.2844823727751503,
|
| 1539 |
+
"eval_iou_undropoff": 0.9628700300080827,
|
| 1540 |
+
"eval_iou_unlabeled": NaN,
|
| 1541 |
+
"eval_loss": 0.334386944770813,
|
| 1542 |
+
"eval_mean_accuracy": 0.6606886507406673,
|
| 1543 |
+
"eval_mean_iou": 0.6236762013916165,
|
| 1544 |
+
"eval_overall_accuracy": 0.9634101867675782,
|
| 1545 |
+
"eval_runtime": 1.7388,
|
| 1546 |
+
"eval_samples_per_second": 8.627,
|
| 1547 |
+
"eval_steps_per_second": 0.575,
|
| 1548 |
+
"step": 200
|
| 1549 |
+
},
|
| 1550 |
+
{
|
| 1551 |
+
"epoch": 67.0,
|
| 1552 |
+
"learning_rate": 1.3947368421052631e-05,
|
| 1553 |
+
"loss": 0.4613,
|
| 1554 |
+
"step": 201
|
| 1555 |
+
},
|
| 1556 |
+
{
|
| 1557 |
+
"epoch": 67.33,
|
| 1558 |
+
"learning_rate": 1.3859649122807017e-05,
|
| 1559 |
+
"loss": 0.3104,
|
| 1560 |
+
"step": 202
|
| 1561 |
+
},
|
| 1562 |
+
{
|
| 1563 |
+
"epoch": 67.67,
|
| 1564 |
+
"learning_rate": 1.3771929824561404e-05,
|
| 1565 |
+
"loss": 0.3083,
|
| 1566 |
+
"step": 203
|
| 1567 |
+
},
|
| 1568 |
+
{
|
| 1569 |
+
"epoch": 68.0,
|
| 1570 |
+
"learning_rate": 1.368421052631579e-05,
|
| 1571 |
+
"loss": 0.2887,
|
| 1572 |
+
"step": 204
|
| 1573 |
+
},
|
| 1574 |
+
{
|
| 1575 |
+
"epoch": 68.33,
|
| 1576 |
+
"learning_rate": 1.3596491228070175e-05,
|
| 1577 |
+
"loss": 0.3204,
|
| 1578 |
+
"step": 205
|
| 1579 |
+
},
|
| 1580 |
+
{
|
| 1581 |
+
"epoch": 68.67,
|
| 1582 |
+
"learning_rate": 1.350877192982456e-05,
|
| 1583 |
+
"loss": 0.3139,
|
| 1584 |
+
"step": 206
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 69.0,
|
| 1588 |
+
"learning_rate": 1.3421052631578948e-05,
|
| 1589 |
+
"loss": 0.4495,
|
| 1590 |
+
"step": 207
|
| 1591 |
+
},
|
| 1592 |
+
{
|
| 1593 |
+
"epoch": 69.33,
|
| 1594 |
+
"learning_rate": 1.3333333333333333e-05,
|
| 1595 |
+
"loss": 0.312,
|
| 1596 |
+
"step": 208
|
| 1597 |
+
},
|
| 1598 |
+
{
|
| 1599 |
+
"epoch": 69.67,
|
| 1600 |
+
"learning_rate": 1.324561403508772e-05,
|
| 1601 |
+
"loss": 0.3213,
|
| 1602 |
+
"step": 209
|
| 1603 |
+
},
|
| 1604 |
+
{
|
| 1605 |
+
"epoch": 70.0,
|
| 1606 |
+
"learning_rate": 1.3157894736842104e-05,
|
| 1607 |
+
"loss": 0.2974,
|
| 1608 |
+
"step": 210
|
| 1609 |
+
},
|
| 1610 |
+
{
|
| 1611 |
+
"epoch": 70.0,
|
| 1612 |
+
"eval_accuracy_dropoff": 0.37460656603946973,
|
| 1613 |
+
"eval_accuracy_undropoff": 0.9887534818570898,
|
| 1614 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1615 |
+
"eval_iou_dropoff": 0.30143317327023245,
|
| 1616 |
+
"eval_iou_undropoff": 0.9609119670395543,
|
| 1617 |
+
"eval_iou_unlabeled": NaN,
|
| 1618 |
+
"eval_loss": 0.34123456478118896,
|
| 1619 |
+
"eval_mean_accuracy": 0.6816800239482798,
|
| 1620 |
+
"eval_mean_iou": 0.6311725701548934,
|
| 1621 |
+
"eval_overall_accuracy": 0.961560312906901,
|
| 1622 |
+
"eval_runtime": 1.6793,
|
| 1623 |
+
"eval_samples_per_second": 8.932,
|
| 1624 |
+
"eval_steps_per_second": 0.595,
|
| 1625 |
+
"step": 210
|
| 1626 |
+
},
|
| 1627 |
+
{
|
| 1628 |
+
"epoch": 70.33,
|
| 1629 |
+
"learning_rate": 1.3070175438596491e-05,
|
| 1630 |
+
"loss": 0.2982,
|
| 1631 |
+
"step": 211
|
| 1632 |
+
},
|
| 1633 |
+
{
|
| 1634 |
+
"epoch": 70.67,
|
| 1635 |
+
"learning_rate": 1.2982456140350877e-05,
|
| 1636 |
+
"loss": 0.3144,
|
| 1637 |
+
"step": 212
|
| 1638 |
+
},
|
| 1639 |
+
{
|
| 1640 |
+
"epoch": 71.0,
|
| 1641 |
+
"learning_rate": 1.2894736842105264e-05,
|
| 1642 |
+
"loss": 0.457,
|
| 1643 |
+
"step": 213
|
| 1644 |
+
},
|
| 1645 |
+
{
|
| 1646 |
+
"epoch": 71.33,
|
| 1647 |
+
"learning_rate": 1.2807017543859648e-05,
|
| 1648 |
+
"loss": 0.2972,
|
| 1649 |
+
"step": 214
|
| 1650 |
+
},
|
| 1651 |
+
{
|
| 1652 |
+
"epoch": 71.67,
|
| 1653 |
+
"learning_rate": 1.2719298245614035e-05,
|
| 1654 |
+
"loss": 0.3,
|
| 1655 |
+
"step": 215
|
| 1656 |
+
},
|
| 1657 |
+
{
|
| 1658 |
+
"epoch": 72.0,
|
| 1659 |
+
"learning_rate": 1.263157894736842e-05,
|
| 1660 |
+
"loss": 0.4251,
|
| 1661 |
+
"step": 216
|
| 1662 |
+
},
|
| 1663 |
+
{
|
| 1664 |
+
"epoch": 72.33,
|
| 1665 |
+
"learning_rate": 1.2543859649122808e-05,
|
| 1666 |
+
"loss": 0.2965,
|
| 1667 |
+
"step": 217
|
| 1668 |
+
},
|
| 1669 |
+
{
|
| 1670 |
+
"epoch": 72.67,
|
| 1671 |
+
"learning_rate": 1.2456140350877193e-05,
|
| 1672 |
+
"loss": 0.3046,
|
| 1673 |
+
"step": 218
|
| 1674 |
+
},
|
| 1675 |
+
{
|
| 1676 |
+
"epoch": 73.0,
|
| 1677 |
+
"learning_rate": 1.2368421052631579e-05,
|
| 1678 |
+
"loss": 0.41,
|
| 1679 |
+
"step": 219
|
| 1680 |
+
},
|
| 1681 |
+
{
|
| 1682 |
+
"epoch": 73.33,
|
| 1683 |
+
"learning_rate": 1.2280701754385964e-05,
|
| 1684 |
+
"loss": 0.3003,
|
| 1685 |
+
"step": 220
|
| 1686 |
+
},
|
| 1687 |
+
{
|
| 1688 |
+
"epoch": 73.33,
|
| 1689 |
+
"eval_accuracy_dropoff": 0.38813839685712315,
|
| 1690 |
+
"eval_accuracy_undropoff": 0.9871960260262498,
|
| 1691 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1692 |
+
"eval_iou_dropoff": 0.30409583037088367,
|
| 1693 |
+
"eval_iou_undropoff": 0.9599832530400442,
|
| 1694 |
+
"eval_iou_unlabeled": NaN,
|
| 1695 |
+
"eval_loss": 0.33220627903938293,
|
| 1696 |
+
"eval_mean_accuracy": 0.6876672114416864,
|
| 1697 |
+
"eval_mean_iou": 0.632039541705464,
|
| 1698 |
+
"eval_overall_accuracy": 0.9606709798177083,
|
| 1699 |
+
"eval_runtime": 1.7125,
|
| 1700 |
+
"eval_samples_per_second": 8.759,
|
| 1701 |
+
"eval_steps_per_second": 0.584,
|
| 1702 |
+
"step": 220
|
| 1703 |
+
},
|
| 1704 |
+
{
|
| 1705 |
+
"epoch": 73.67,
|
| 1706 |
+
"learning_rate": 1.2192982456140352e-05,
|
| 1707 |
+
"loss": 0.2938,
|
| 1708 |
+
"step": 221
|
| 1709 |
+
},
|
| 1710 |
+
{
|
| 1711 |
+
"epoch": 74.0,
|
| 1712 |
+
"learning_rate": 1.2105263157894737e-05,
|
| 1713 |
+
"loss": 0.2938,
|
| 1714 |
+
"step": 222
|
| 1715 |
+
},
|
| 1716 |
+
{
|
| 1717 |
+
"epoch": 74.33,
|
| 1718 |
+
"learning_rate": 1.2017543859649123e-05,
|
| 1719 |
+
"loss": 0.3042,
|
| 1720 |
+
"step": 223
|
| 1721 |
+
},
|
| 1722 |
+
{
|
| 1723 |
+
"epoch": 74.67,
|
| 1724 |
+
"learning_rate": 1.1929824561403508e-05,
|
| 1725 |
+
"loss": 0.2906,
|
| 1726 |
+
"step": 224
|
| 1727 |
+
},
|
| 1728 |
+
{
|
| 1729 |
+
"epoch": 75.0,
|
| 1730 |
+
"learning_rate": 1.1842105263157895e-05,
|
| 1731 |
+
"loss": 0.2817,
|
| 1732 |
+
"step": 225
|
| 1733 |
+
},
|
| 1734 |
+
{
|
| 1735 |
+
"epoch": 75.33,
|
| 1736 |
+
"learning_rate": 1.175438596491228e-05,
|
| 1737 |
+
"loss": 0.3076,
|
| 1738 |
+
"step": 226
|
| 1739 |
+
},
|
| 1740 |
+
{
|
| 1741 |
+
"epoch": 75.67,
|
| 1742 |
+
"learning_rate": 1.1666666666666668e-05,
|
| 1743 |
+
"loss": 0.2879,
|
| 1744 |
+
"step": 227
|
| 1745 |
+
},
|
| 1746 |
+
{
|
| 1747 |
+
"epoch": 76.0,
|
| 1748 |
+
"learning_rate": 1.1578947368421052e-05,
|
| 1749 |
+
"loss": 0.2936,
|
| 1750 |
+
"step": 228
|
| 1751 |
+
},
|
| 1752 |
+
{
|
| 1753 |
+
"epoch": 76.33,
|
| 1754 |
+
"learning_rate": 1.1491228070175439e-05,
|
| 1755 |
+
"loss": 0.2945,
|
| 1756 |
+
"step": 229
|
| 1757 |
+
},
|
| 1758 |
+
{
|
| 1759 |
+
"epoch": 76.67,
|
| 1760 |
+
"learning_rate": 1.1403508771929824e-05,
|
| 1761 |
+
"loss": 0.2968,
|
| 1762 |
+
"step": 230
|
| 1763 |
+
},
|
| 1764 |
+
{
|
| 1765 |
+
"epoch": 76.67,
|
| 1766 |
+
"eval_accuracy_dropoff": 0.371229351896524,
|
| 1767 |
+
"eval_accuracy_undropoff": 0.990241220717542,
|
| 1768 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1769 |
+
"eval_iou_dropoff": 0.3066390868290461,
|
| 1770 |
+
"eval_iou_undropoff": 0.9622115016162788,
|
| 1771 |
+
"eval_iou_unlabeled": NaN,
|
| 1772 |
+
"eval_loss": 0.32894688844680786,
|
| 1773 |
+
"eval_mean_accuracy": 0.680735286307033,
|
| 1774 |
+
"eval_mean_iou": 0.6344252942226625,
|
| 1775 |
+
"eval_overall_accuracy": 0.9628326416015625,
|
| 1776 |
+
"eval_runtime": 1.7295,
|
| 1777 |
+
"eval_samples_per_second": 8.673,
|
| 1778 |
+
"eval_steps_per_second": 0.578,
|
| 1779 |
+
"step": 230
|
| 1780 |
+
},
|
| 1781 |
+
{
|
| 1782 |
+
"epoch": 77.0,
|
| 1783 |
+
"learning_rate": 1.1315789473684212e-05,
|
| 1784 |
+
"loss": 0.2881,
|
| 1785 |
+
"step": 231
|
| 1786 |
+
},
|
| 1787 |
+
{
|
| 1788 |
+
"epoch": 77.33,
|
| 1789 |
+
"learning_rate": 1.1228070175438595e-05,
|
| 1790 |
+
"loss": 0.2923,
|
| 1791 |
+
"step": 232
|
| 1792 |
+
},
|
| 1793 |
+
{
|
| 1794 |
+
"epoch": 77.67,
|
| 1795 |
+
"learning_rate": 1.1140350877192983e-05,
|
| 1796 |
+
"loss": 0.2869,
|
| 1797 |
+
"step": 233
|
| 1798 |
+
},
|
| 1799 |
+
{
|
| 1800 |
+
"epoch": 78.0,
|
| 1801 |
+
"learning_rate": 1.1052631578947368e-05,
|
| 1802 |
+
"loss": 0.3945,
|
| 1803 |
+
"step": 234
|
| 1804 |
+
},
|
| 1805 |
+
{
|
| 1806 |
+
"epoch": 78.33,
|
| 1807 |
+
"learning_rate": 1.0964912280701755e-05,
|
| 1808 |
+
"loss": 0.2829,
|
| 1809 |
+
"step": 235
|
| 1810 |
+
},
|
| 1811 |
+
{
|
| 1812 |
+
"epoch": 78.67,
|
| 1813 |
+
"learning_rate": 1.087719298245614e-05,
|
| 1814 |
+
"loss": 0.3114,
|
| 1815 |
+
"step": 236
|
| 1816 |
+
},
|
| 1817 |
+
{
|
| 1818 |
+
"epoch": 79.0,
|
| 1819 |
+
"learning_rate": 1.0789473684210526e-05,
|
| 1820 |
+
"loss": 0.2701,
|
| 1821 |
+
"step": 237
|
| 1822 |
+
},
|
| 1823 |
+
{
|
| 1824 |
+
"epoch": 79.33,
|
| 1825 |
+
"learning_rate": 1.0701754385964912e-05,
|
| 1826 |
+
"loss": 0.2843,
|
| 1827 |
+
"step": 238
|
| 1828 |
+
},
|
| 1829 |
+
{
|
| 1830 |
+
"epoch": 79.67,
|
| 1831 |
+
"learning_rate": 1.0614035087719299e-05,
|
| 1832 |
+
"loss": 0.2926,
|
| 1833 |
+
"step": 239
|
| 1834 |
+
},
|
| 1835 |
+
{
|
| 1836 |
+
"epoch": 80.0,
|
| 1837 |
+
"learning_rate": 1.0526315789473684e-05,
|
| 1838 |
+
"loss": 0.4415,
|
| 1839 |
+
"step": 240
|
| 1840 |
+
},
|
| 1841 |
+
{
|
| 1842 |
+
"epoch": 80.0,
|
| 1843 |
+
"eval_accuracy_dropoff": 0.37051140671307464,
|
| 1844 |
+
"eval_accuracy_undropoff": 0.9895621454945275,
|
| 1845 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1846 |
+
"eval_iou_dropoff": 0.30238499254689827,
|
| 1847 |
+
"eval_iou_undropoff": 0.9615205715303682,
|
| 1848 |
+
"eval_iou_unlabeled": NaN,
|
| 1849 |
+
"eval_loss": 0.333290159702301,
|
| 1850 |
+
"eval_mean_accuracy": 0.6800367761038011,
|
| 1851 |
+
"eval_mean_iou": 0.6319527820386333,
|
| 1852 |
+
"eval_overall_accuracy": 0.962151845296224,
|
| 1853 |
+
"eval_runtime": 1.7448,
|
| 1854 |
+
"eval_samples_per_second": 8.597,
|
| 1855 |
+
"eval_steps_per_second": 0.573,
|
| 1856 |
+
"step": 240
|
| 1857 |
+
},
|
| 1858 |
+
{
|
| 1859 |
+
"epoch": 80.33,
|
| 1860 |
+
"learning_rate": 1.043859649122807e-05,
|
| 1861 |
+
"loss": 0.2859,
|
| 1862 |
+
"step": 241
|
| 1863 |
+
},
|
| 1864 |
+
{
|
| 1865 |
+
"epoch": 80.67,
|
| 1866 |
+
"learning_rate": 1.0350877192982455e-05,
|
| 1867 |
+
"loss": 0.2881,
|
| 1868 |
+
"step": 242
|
| 1869 |
+
},
|
| 1870 |
+
{
|
| 1871 |
+
"epoch": 81.0,
|
| 1872 |
+
"learning_rate": 1.0263157894736843e-05,
|
| 1873 |
+
"loss": 0.2879,
|
| 1874 |
+
"step": 243
|
| 1875 |
+
},
|
| 1876 |
+
{
|
| 1877 |
+
"epoch": 81.33,
|
| 1878 |
+
"learning_rate": 1.0175438596491228e-05,
|
| 1879 |
+
"loss": 0.2842,
|
| 1880 |
+
"step": 244
|
| 1881 |
+
},
|
| 1882 |
+
{
|
| 1883 |
+
"epoch": 81.67,
|
| 1884 |
+
"learning_rate": 1.0087719298245615e-05,
|
| 1885 |
+
"loss": 0.2787,
|
| 1886 |
+
"step": 245
|
| 1887 |
+
},
|
| 1888 |
+
{
|
| 1889 |
+
"epoch": 82.0,
|
| 1890 |
+
"learning_rate": 9.999999999999999e-06,
|
| 1891 |
+
"loss": 0.4344,
|
| 1892 |
+
"step": 246
|
| 1893 |
+
},
|
| 1894 |
+
{
|
| 1895 |
+
"epoch": 82.33,
|
| 1896 |
+
"learning_rate": 9.912280701754386e-06,
|
| 1897 |
+
"loss": 0.2793,
|
| 1898 |
+
"step": 247
|
| 1899 |
+
},
|
| 1900 |
+
{
|
| 1901 |
+
"epoch": 82.67,
|
| 1902 |
+
"learning_rate": 9.824561403508772e-06,
|
| 1903 |
+
"loss": 0.285,
|
| 1904 |
+
"step": 248
|
| 1905 |
+
},
|
| 1906 |
+
{
|
| 1907 |
+
"epoch": 83.0,
|
| 1908 |
+
"learning_rate": 9.736842105263159e-06,
|
| 1909 |
+
"loss": 0.2917,
|
| 1910 |
+
"step": 249
|
| 1911 |
+
},
|
| 1912 |
+
{
|
| 1913 |
+
"epoch": 83.33,
|
| 1914 |
+
"learning_rate": 9.649122807017543e-06,
|
| 1915 |
+
"loss": 0.2836,
|
| 1916 |
+
"step": 250
|
| 1917 |
+
},
|
| 1918 |
+
{
|
| 1919 |
+
"epoch": 83.33,
|
| 1920 |
+
"eval_accuracy_dropoff": 0.36174673191352497,
|
| 1921 |
+
"eval_accuracy_undropoff": 0.9897151502959513,
|
| 1922 |
+
"eval_accuracy_unlabeled": NaN,
|
| 1923 |
+
"eval_iou_dropoff": 0.2960297801738117,
|
| 1924 |
+
"eval_iou_undropoff": 0.961289959079153,
|
| 1925 |
+
"eval_iou_unlabeled": NaN,
|
| 1926 |
+
"eval_loss": 0.32710760831832886,
|
| 1927 |
+
"eval_mean_accuracy": 0.6757309411047381,
|
| 1928 |
+
"eval_mean_iou": 0.6286598696264823,
|
| 1929 |
+
"eval_overall_accuracy": 0.9619099934895833,
|
| 1930 |
+
"eval_runtime": 1.7114,
|
| 1931 |
+
"eval_samples_per_second": 8.765,
|
| 1932 |
+
"eval_steps_per_second": 0.584,
|
| 1933 |
+
"step": 250
|
| 1934 |
+
},
|
| 1935 |
+
{
|
| 1936 |
+
"epoch": 83.67,
|
| 1937 |
+
"learning_rate": 9.56140350877193e-06,
|
| 1938 |
+
"loss": 0.2828,
|
| 1939 |
+
"step": 251
|
| 1940 |
+
},
|
| 1941 |
+
{
|
| 1942 |
+
"epoch": 84.0,
|
| 1943 |
+
"learning_rate": 9.473684210526315e-06,
|
| 1944 |
+
"loss": 0.2569,
|
| 1945 |
+
"step": 252
|
| 1946 |
+
},
|
| 1947 |
+
{
|
| 1948 |
+
"epoch": 84.33,
|
| 1949 |
+
"learning_rate": 9.385964912280703e-06,
|
| 1950 |
+
"loss": 0.2759,
|
| 1951 |
+
"step": 253
|
| 1952 |
+
},
|
| 1953 |
+
{
|
| 1954 |
+
"epoch": 84.67,
|
| 1955 |
+
"learning_rate": 9.298245614035088e-06,
|
| 1956 |
+
"loss": 0.2976,
|
| 1957 |
+
"step": 254
|
| 1958 |
+
},
|
| 1959 |
+
{
|
| 1960 |
+
"epoch": 85.0,
|
| 1961 |
+
"learning_rate": 9.210526315789474e-06,
|
| 1962 |
+
"loss": 0.2836,
|
| 1963 |
+
"step": 255
|
| 1964 |
+
},
|
| 1965 |
+
{
|
| 1966 |
+
"epoch": 85.33,
|
| 1967 |
+
"learning_rate": 9.12280701754386e-06,
|
| 1968 |
+
"loss": 0.2999,
|
| 1969 |
+
"step": 256
|
| 1970 |
+
},
|
| 1971 |
+
{
|
| 1972 |
+
"epoch": 85.67,
|
| 1973 |
+
"learning_rate": 9.035087719298246e-06,
|
| 1974 |
+
"loss": 0.275,
|
| 1975 |
+
"step": 257
|
| 1976 |
+
},
|
| 1977 |
+
{
|
| 1978 |
+
"epoch": 86.0,
|
| 1979 |
+
"learning_rate": 8.947368421052632e-06,
|
| 1980 |
+
"loss": 0.2665,
|
| 1981 |
+
"step": 258
|
| 1982 |
+
},
|
| 1983 |
+
{
|
| 1984 |
+
"epoch": 86.33,
|
| 1985 |
+
"learning_rate": 8.859649122807017e-06,
|
| 1986 |
+
"loss": 0.2703,
|
| 1987 |
+
"step": 259
|
| 1988 |
+
},
|
| 1989 |
+
{
|
| 1990 |
+
"epoch": 86.67,
|
| 1991 |
+
"learning_rate": 8.771929824561403e-06,
|
| 1992 |
+
"loss": 0.2762,
|
| 1993 |
+
"step": 260
|
| 1994 |
+
},
|
| 1995 |
+
{
|
| 1996 |
+
"epoch": 86.67,
|
| 1997 |
+
"eval_accuracy_dropoff": 0.3429135938612815,
|
| 1998 |
+
"eval_accuracy_undropoff": 0.9916094827852302,
|
| 1999 |
+
"eval_accuracy_unlabeled": NaN,
|
| 2000 |
+
"eval_iou_dropoff": 0.2903326201128185,
|
| 2001 |
+
"eval_iou_undropoff": 0.962314355540773,
|
| 2002 |
+
"eval_iou_unlabeled": NaN,
|
| 2003 |
+
"eval_loss": 0.3202665448188782,
|
| 2004 |
+
"eval_mean_accuracy": 0.6672615383232559,
|
| 2005 |
+
"eval_mean_iou": 0.6263234878267958,
|
| 2006 |
+
"eval_overall_accuracy": 0.9628865559895833,
|
| 2007 |
+
"eval_runtime": 1.6823,
|
| 2008 |
+
"eval_samples_per_second": 8.916,
|
| 2009 |
+
"eval_steps_per_second": 0.594,
|
| 2010 |
+
"step": 260
|
| 2011 |
+
},
|
| 2012 |
+
{
|
| 2013 |
+
"epoch": 87.0,
|
| 2014 |
+
"learning_rate": 8.68421052631579e-06,
|
| 2015 |
+
"loss": 0.3979,
|
| 2016 |
+
"step": 261
|
| 2017 |
+
},
|
| 2018 |
+
{
|
| 2019 |
+
"epoch": 87.33,
|
| 2020 |
+
"learning_rate": 8.596491228070176e-06,
|
| 2021 |
+
"loss": 0.2849,
|
| 2022 |
+
"step": 262
|
| 2023 |
+
},
|
| 2024 |
+
{
|
| 2025 |
+
"epoch": 87.67,
|
| 2026 |
+
"learning_rate": 8.508771929824563e-06,
|
| 2027 |
+
"loss": 0.2815,
|
| 2028 |
+
"step": 263
|
| 2029 |
+
},
|
| 2030 |
+
{
|
| 2031 |
+
"epoch": 88.0,
|
| 2032 |
+
"learning_rate": 8.421052631578947e-06,
|
| 2033 |
+
"loss": 0.2683,
|
| 2034 |
+
"step": 264
|
| 2035 |
+
},
|
| 2036 |
+
{
|
| 2037 |
+
"epoch": 88.33,
|
| 2038 |
+
"learning_rate": 8.333333333333334e-06,
|
| 2039 |
+
"loss": 0.2759,
|
| 2040 |
+
"step": 265
|
| 2041 |
+
},
|
| 2042 |
+
{
|
| 2043 |
+
"epoch": 88.67,
|
| 2044 |
+
"learning_rate": 8.24561403508772e-06,
|
| 2045 |
+
"loss": 0.2838,
|
| 2046 |
+
"step": 266
|
| 2047 |
+
},
|
| 2048 |
+
{
|
| 2049 |
+
"epoch": 89.0,
|
| 2050 |
+
"learning_rate": 8.157894736842106e-06,
|
| 2051 |
+
"loss": 0.2532,
|
| 2052 |
+
"step": 267
|
| 2053 |
+
},
|
| 2054 |
+
{
|
| 2055 |
+
"epoch": 89.33,
|
| 2056 |
+
"learning_rate": 8.07017543859649e-06,
|
| 2057 |
+
"loss": 0.2816,
|
| 2058 |
+
"step": 268
|
| 2059 |
+
},
|
| 2060 |
+
{
|
| 2061 |
+
"epoch": 89.67,
|
| 2062 |
+
"learning_rate": 7.982456140350877e-06,
|
| 2063 |
+
"loss": 0.2791,
|
| 2064 |
+
"step": 269
|
| 2065 |
+
},
|
| 2066 |
+
{
|
| 2067 |
+
"epoch": 90.0,
|
| 2068 |
+
"learning_rate": 7.894736842105263e-06,
|
| 2069 |
+
"loss": 0.3901,
|
| 2070 |
+
"step": 270
|
| 2071 |
+
},
|
| 2072 |
+
{
|
| 2073 |
+
"epoch": 90.0,
|
| 2074 |
+
"eval_accuracy_dropoff": 0.3685126473223516,
|
| 2075 |
+
"eval_accuracy_undropoff": 0.9888721603639332,
|
| 2076 |
+
"eval_accuracy_unlabeled": NaN,
|
| 2077 |
+
"eval_iou_dropoff": 0.29714208968771855,
|
| 2078 |
+
"eval_iou_undropoff": 0.9607636920278417,
|
| 2079 |
+
"eval_iou_unlabeled": NaN,
|
| 2080 |
+
"eval_loss": 0.3186405599117279,
|
| 2081 |
+
"eval_mean_accuracy": 0.6786924038431424,
|
| 2082 |
+
"eval_mean_iou": 0.6289528908577802,
|
| 2083 |
+
"eval_overall_accuracy": 0.9614039103190104,
|
| 2084 |
+
"eval_runtime": 1.758,
|
| 2085 |
+
"eval_samples_per_second": 8.532,
|
| 2086 |
+
"eval_steps_per_second": 0.569,
|
| 2087 |
+
"step": 270
|
| 2088 |
+
},
|
| 2089 |
+
{
|
| 2090 |
+
"epoch": 90.33,
|
| 2091 |
+
"learning_rate": 7.80701754385965e-06,
|
| 2092 |
+
"loss": 0.2778,
|
| 2093 |
+
"step": 271
|
| 2094 |
+
},
|
| 2095 |
+
{
|
| 2096 |
+
"epoch": 90.67,
|
| 2097 |
+
"learning_rate": 7.719298245614036e-06,
|
| 2098 |
+
"loss": 0.2824,
|
| 2099 |
+
"step": 272
|
| 2100 |
+
},
|
| 2101 |
+
{
|
| 2102 |
+
"epoch": 91.0,
|
| 2103 |
+
"learning_rate": 7.631578947368421e-06,
|
| 2104 |
+
"loss": 0.3983,
|
| 2105 |
+
"step": 273
|
| 2106 |
+
},
|
| 2107 |
+
{
|
| 2108 |
+
"epoch": 91.33,
|
| 2109 |
+
"learning_rate": 7.543859649122807e-06,
|
| 2110 |
+
"loss": 0.2797,
|
| 2111 |
+
"step": 274
|
| 2112 |
+
},
|
| 2113 |
+
{
|
| 2114 |
+
"epoch": 91.67,
|
| 2115 |
+
"learning_rate": 7.456140350877193e-06,
|
| 2116 |
+
"loss": 0.2673,
|
| 2117 |
+
"step": 275
|
| 2118 |
+
},
|
| 2119 |
+
{
|
| 2120 |
+
"epoch": 92.0,
|
| 2121 |
+
"learning_rate": 7.3684210526315784e-06,
|
| 2122 |
+
"loss": 0.2817,
|
| 2123 |
+
"step": 276
|
| 2124 |
+
},
|
| 2125 |
+
{
|
| 2126 |
+
"epoch": 92.33,
|
| 2127 |
+
"learning_rate": 7.280701754385965e-06,
|
| 2128 |
+
"loss": 0.273,
|
| 2129 |
+
"step": 277
|
| 2130 |
+
},
|
| 2131 |
+
{
|
| 2132 |
+
"epoch": 92.67,
|
| 2133 |
+
"learning_rate": 7.19298245614035e-06,
|
| 2134 |
+
"loss": 0.2669,
|
| 2135 |
+
"step": 278
|
| 2136 |
+
},
|
| 2137 |
+
{
|
| 2138 |
+
"epoch": 93.0,
|
| 2139 |
+
"learning_rate": 7.105263157894737e-06,
|
| 2140 |
+
"loss": 0.2744,
|
| 2141 |
+
"step": 279
|
| 2142 |
+
},
|
| 2143 |
+
{
|
| 2144 |
+
"epoch": 93.33,
|
| 2145 |
+
"learning_rate": 7.017543859649123e-06,
|
| 2146 |
+
"loss": 0.2755,
|
| 2147 |
+
"step": 280
|
| 2148 |
+
},
|
| 2149 |
+
{
|
| 2150 |
+
"epoch": 93.33,
|
| 2151 |
+
"eval_accuracy_dropoff": 0.34684793346658394,
|
| 2152 |
+
"eval_accuracy_undropoff": 0.9916666932761974,
|
| 2153 |
+
"eval_accuracy_unlabeled": NaN,
|
| 2154 |
+
"eval_iou_dropoff": 0.29397103565778265,
|
| 2155 |
+
"eval_iou_undropoff": 0.9625401398998029,
|
| 2156 |
+
"eval_iou_unlabeled": NaN,
|
| 2157 |
+
"eval_loss": 0.308605819940567,
|
| 2158 |
+
"eval_mean_accuracy": 0.6692573133713906,
|
| 2159 |
+
"eval_mean_iou": 0.6282555877787928,
|
| 2160 |
+
"eval_overall_accuracy": 0.9631154378255208,
|
| 2161 |
+
"eval_runtime": 1.7591,
|
| 2162 |
+
"eval_samples_per_second": 8.527,
|
| 2163 |
+
"eval_steps_per_second": 0.568,
|
| 2164 |
+
"step": 280
|
| 2165 |
+
},
|
| 2166 |
+
{
|
| 2167 |
+
"epoch": 93.67,
|
| 2168 |
+
"learning_rate": 6.9298245614035085e-06,
|
| 2169 |
+
"loss": 0.2648,
|
| 2170 |
+
"step": 281
|
| 2171 |
+
},
|
| 2172 |
+
{
|
| 2173 |
+
"epoch": 94.0,
|
| 2174 |
+
"learning_rate": 6.842105263157895e-06,
|
| 2175 |
+
"loss": 0.359,
|
| 2176 |
+
"step": 282
|
| 2177 |
+
},
|
| 2178 |
+
{
|
| 2179 |
+
"epoch": 94.33,
|
| 2180 |
+
"learning_rate": 6.75438596491228e-06,
|
| 2181 |
+
"loss": 0.2767,
|
| 2182 |
+
"step": 283
|
| 2183 |
+
},
|
| 2184 |
+
{
|
| 2185 |
+
"epoch": 94.67,
|
| 2186 |
+
"learning_rate": 6.666666666666667e-06,
|
| 2187 |
+
"loss": 0.2738,
|
| 2188 |
+
"step": 284
|
| 2189 |
+
},
|
| 2190 |
+
{
|
| 2191 |
+
"epoch": 95.0,
|
| 2192 |
+
"learning_rate": 6.578947368421052e-06,
|
| 2193 |
+
"loss": 0.2827,
|
| 2194 |
+
"step": 285
|
| 2195 |
+
},
|
| 2196 |
+
{
|
| 2197 |
+
"epoch": 95.33,
|
| 2198 |
+
"learning_rate": 6.4912280701754385e-06,
|
| 2199 |
+
"loss": 0.2708,
|
| 2200 |
+
"step": 286
|
| 2201 |
+
},
|
| 2202 |
+
{
|
| 2203 |
+
"epoch": 95.67,
|
| 2204 |
+
"learning_rate": 6.403508771929824e-06,
|
| 2205 |
+
"loss": 0.27,
|
| 2206 |
+
"step": 287
|
| 2207 |
+
},
|
| 2208 |
+
{
|
| 2209 |
+
"epoch": 96.0,
|
| 2210 |
+
"learning_rate": 6.31578947368421e-06,
|
| 2211 |
+
"loss": 0.2552,
|
| 2212 |
+
"step": 288
|
| 2213 |
+
},
|
| 2214 |
+
{
|
| 2215 |
+
"epoch": 96.33,
|
| 2216 |
+
"learning_rate": 6.228070175438597e-06,
|
| 2217 |
+
"loss": 0.2681,
|
| 2218 |
+
"step": 289
|
| 2219 |
+
},
|
| 2220 |
+
{
|
| 2221 |
+
"epoch": 96.67,
|
| 2222 |
+
"learning_rate": 6.140350877192982e-06,
|
| 2223 |
+
"loss": 0.2652,
|
| 2224 |
+
"step": 290
|
| 2225 |
+
},
|
| 2226 |
+
{
|
| 2227 |
+
"epoch": 96.67,
|
| 2228 |
+
"eval_accuracy_dropoff": 0.3660946079444942,
|
| 2229 |
+
"eval_accuracy_undropoff": 0.9896209525573355,
|
| 2230 |
+
"eval_accuracy_unlabeled": NaN,
|
| 2231 |
+
"eval_iou_dropoff": 0.2990901540497295,
|
| 2232 |
+
"eval_iou_undropoff": 0.9613865609215132,
|
| 2233 |
+
"eval_iou_unlabeled": NaN,
|
| 2234 |
+
"eval_loss": 0.30988389253616333,
|
| 2235 |
+
"eval_mean_accuracy": 0.6778577802509149,
|
| 2236 |
+
"eval_mean_iou": 0.6302383574856214,
|
| 2237 |
+
"eval_overall_accuracy": 0.9620124816894531,
|
| 2238 |
+
"eval_runtime": 1.7226,
|
| 2239 |
+
"eval_samples_per_second": 8.708,
|
| 2240 |
+
"eval_steps_per_second": 0.581,
|
| 2241 |
+
"step": 290
|
| 2242 |
+
},
|
| 2243 |
+
{
|
| 2244 |
+
"epoch": 97.0,
|
| 2245 |
+
"learning_rate": 6.0526315789473685e-06,
|
| 2246 |
+
"loss": 0.2743,
|
| 2247 |
+
"step": 291
|
| 2248 |
+
},
|
| 2249 |
+
{
|
| 2250 |
+
"epoch": 97.33,
|
| 2251 |
+
"learning_rate": 5.964912280701754e-06,
|
| 2252 |
+
"loss": 0.2614,
|
| 2253 |
+
"step": 292
|
| 2254 |
+
},
|
| 2255 |
+
{
|
| 2256 |
+
"epoch": 97.67,
|
| 2257 |
+
"learning_rate": 5.87719298245614e-06,
|
| 2258 |
+
"loss": 0.2758,
|
| 2259 |
+
"step": 293
|
| 2260 |
+
},
|
| 2261 |
+
{
|
| 2262 |
+
"epoch": 98.0,
|
| 2263 |
+
"learning_rate": 5.789473684210526e-06,
|
| 2264 |
+
"loss": 0.2869,
|
| 2265 |
+
"step": 294
|
| 2266 |
+
},
|
| 2267 |
+
{
|
| 2268 |
+
"epoch": 98.33,
|
| 2269 |
+
"learning_rate": 5.701754385964912e-06,
|
| 2270 |
+
"loss": 0.2763,
|
| 2271 |
+
"step": 295
|
| 2272 |
+
},
|
| 2273 |
+
{
|
| 2274 |
+
"epoch": 98.67,
|
| 2275 |
+
"learning_rate": 5.614035087719298e-06,
|
| 2276 |
+
"loss": 0.255,
|
| 2277 |
+
"step": 296
|
| 2278 |
+
},
|
| 2279 |
+
{
|
| 2280 |
+
"epoch": 99.0,
|
| 2281 |
+
"learning_rate": 5.526315789473684e-06,
|
| 2282 |
+
"loss": 0.3951,
|
| 2283 |
+
"step": 297
|
| 2284 |
+
},
|
| 2285 |
+
{
|
| 2286 |
+
"epoch": 99.33,
|
| 2287 |
+
"learning_rate": 5.43859649122807e-06,
|
| 2288 |
+
"loss": 0.2727,
|
| 2289 |
+
"step": 298
|
| 2290 |
+
},
|
| 2291 |
+
{
|
| 2292 |
+
"epoch": 99.67,
|
| 2293 |
+
"learning_rate": 5.350877192982456e-06,
|
| 2294 |
+
"loss": 0.2592,
|
| 2295 |
+
"step": 299
|
| 2296 |
+
},
|
| 2297 |
+
{
|
| 2298 |
+
"epoch": 100.0,
|
| 2299 |
+
"learning_rate": 5.263157894736842e-06,
|
| 2300 |
+
"loss": 0.2627,
|
| 2301 |
+
"step": 300
|
| 2302 |
+
},
|
| 2303 |
+
{
|
| 2304 |
+
"epoch": 100.0,
|
| 2305 |
+
"eval_accuracy_dropoff": 0.3547740482918648,
|
| 2306 |
+
"eval_accuracy_undropoff": 0.9909123130813517,
|
| 2307 |
+
"eval_accuracy_unlabeled": NaN,
|
| 2308 |
+
"eval_iou_dropoff": 0.29659560165178145,
|
| 2309 |
+
"eval_iou_undropoff": 0.9621508524590926,
|
| 2310 |
+
"eval_iou_unlabeled": NaN,
|
| 2311 |
+
"eval_loss": 0.3055838942527771,
|
| 2312 |
+
"eval_mean_accuracy": 0.6728431806866083,
|
| 2313 |
+
"eval_mean_iou": 0.6293732270554371,
|
| 2314 |
+
"eval_overall_accuracy": 0.9627454121907552,
|
| 2315 |
+
"eval_runtime": 1.7545,
|
| 2316 |
+
"eval_samples_per_second": 8.549,
|
| 2317 |
+
"eval_steps_per_second": 0.57,
|
| 2318 |
+
"step": 300
|
| 2319 |
+
},
|
| 2320 |
+
{
|
| 2321 |
+
"epoch": 100.33,
|
| 2322 |
+
"learning_rate": 5.175438596491228e-06,
|
| 2323 |
+
"loss": 0.2787,
|
| 2324 |
+
"step": 301
|
| 2325 |
+
},
|
| 2326 |
+
{
|
| 2327 |
+
"epoch": 100.67,
|
| 2328 |
+
"learning_rate": 5.087719298245614e-06,
|
| 2329 |
+
"loss": 0.2673,
|
| 2330 |
+
"step": 302
|
| 2331 |
+
},
|
| 2332 |
+
{
|
| 2333 |
+
"epoch": 101.0,
|
| 2334 |
+
"learning_rate": 4.9999999999999996e-06,
|
| 2335 |
+
"loss": 0.2558,
|
| 2336 |
+
"step": 303
|
| 2337 |
+
},
|
| 2338 |
+
{
|
| 2339 |
+
"epoch": 101.33,
|
| 2340 |
+
"learning_rate": 4.912280701754386e-06,
|
| 2341 |
+
"loss": 0.2655,
|
| 2342 |
+
"step": 304
|
| 2343 |
+
},
|
| 2344 |
+
{
|
| 2345 |
+
"epoch": 101.67,
|
| 2346 |
+
"learning_rate": 4.824561403508771e-06,
|
| 2347 |
+
"loss": 0.2683,
|
| 2348 |
+
"step": 305
|
| 2349 |
+
},
|
| 2350 |
+
{
|
| 2351 |
+
"epoch": 102.0,
|
| 2352 |
+
"learning_rate": 4.736842105263158e-06,
|
| 2353 |
+
"loss": 0.2645,
|
| 2354 |
+
"step": 306
|
| 2355 |
+
},
|
| 2356 |
+
{
|
| 2357 |
+
"epoch": 102.33,
|
| 2358 |
+
"learning_rate": 4.649122807017544e-06,
|
| 2359 |
+
"loss": 0.2794,
|
| 2360 |
+
"step": 307
|
| 2361 |
+
},
|
| 2362 |
+
{
|
| 2363 |
+
"epoch": 102.67,
|
| 2364 |
+
"learning_rate": 4.56140350877193e-06,
|
| 2365 |
+
"loss": 0.2712,
|
| 2366 |
+
"step": 308
|
| 2367 |
+
},
|
| 2368 |
+
{
|
| 2369 |
+
"epoch": 103.0,
|
| 2370 |
+
"learning_rate": 4.473684210526316e-06,
|
| 2371 |
+
"loss": 0.245,
|
| 2372 |
+
"step": 309
|
| 2373 |
+
},
|
| 2374 |
+
{
|
| 2375 |
+
"epoch": 103.33,
|
| 2376 |
+
"learning_rate": 4.3859649122807014e-06,
|
| 2377 |
+
"loss": 0.2647,
|
| 2378 |
+
"step": 310
|
| 2379 |
+
},
|
| 2380 |
+
{
|
| 2381 |
+
"epoch": 103.33,
|
| 2382 |
+
"eval_accuracy_dropoff": 0.3457509132262733,
|
| 2383 |
+
"eval_accuracy_undropoff": 0.9921036217700021,
|
| 2384 |
+
"eval_accuracy_unlabeled": NaN,
|
| 2385 |
+
"eval_iou_dropoff": 0.29540246242326396,
|
| 2386 |
+
"eval_iou_undropoff": 0.9629167331704185,
|
| 2387 |
+
"eval_iou_unlabeled": NaN,
|
| 2388 |
+
"eval_loss": 0.3036021888256073,
|
| 2389 |
+
"eval_mean_accuracy": 0.6689272674981377,
|
| 2390 |
+
"eval_mean_iou": 0.6291595977968412,
|
| 2391 |
+
"eval_overall_accuracy": 0.9634844462076823,
|
| 2392 |
+
"eval_runtime": 1.6948,
|
| 2393 |
+
"eval_samples_per_second": 8.85,
|
| 2394 |
+
"eval_steps_per_second": 0.59,
|
| 2395 |
+
"step": 310
|
| 2396 |
+
},
|
| 2397 |
+
{
|
| 2398 |
+
"epoch": 103.67,
|
| 2399 |
+
"learning_rate": 4.298245614035088e-06,
|
| 2400 |
+
"loss": 0.2642,
|
| 2401 |
+
"step": 311
|
| 2402 |
+
},
|
| 2403 |
+
{
|
| 2404 |
+
"epoch": 104.0,
|
| 2405 |
+
"learning_rate": 4.210526315789473e-06,
|
| 2406 |
+
"loss": 0.3691,
|
| 2407 |
+
"step": 312
|
| 2408 |
+
},
|
| 2409 |
+
{
|
| 2410 |
+
"epoch": 104.33,
|
| 2411 |
+
"learning_rate": 4.12280701754386e-06,
|
| 2412 |
+
"loss": 0.2571,
|
| 2413 |
+
"step": 313
|
| 2414 |
+
},
|
| 2415 |
+
{
|
| 2416 |
+
"epoch": 104.67,
|
| 2417 |
+
"learning_rate": 4.035087719298245e-06,
|
| 2418 |
+
"loss": 0.2652,
|
| 2419 |
+
"step": 314
|
| 2420 |
+
},
|
| 2421 |
+
{
|
| 2422 |
+
"epoch": 105.0,
|
| 2423 |
+
"learning_rate": 3.9473684210526315e-06,
|
| 2424 |
+
"loss": 0.2417,
|
| 2425 |
+
"step": 315
|
| 2426 |
+
},
|
| 2427 |
+
{
|
| 2428 |
+
"epoch": 105.33,
|
| 2429 |
+
"learning_rate": 3.859649122807018e-06,
|
| 2430 |
+
"loss": 0.2673,
|
| 2431 |
+
"step": 316
|
| 2432 |
+
},
|
| 2433 |
+
{
|
| 2434 |
+
"epoch": 105.67,
|
| 2435 |
+
"learning_rate": 3.7719298245614033e-06,
|
| 2436 |
+
"loss": 0.2618,
|
| 2437 |
+
"step": 317
|
| 2438 |
+
},
|
| 2439 |
+
{
|
| 2440 |
+
"epoch": 106.0,
|
| 2441 |
+
"learning_rate": 3.6842105263157892e-06,
|
| 2442 |
+
"loss": 0.3631,
|
| 2443 |
+
"step": 318
|
| 2444 |
+
},
|
| 2445 |
+
{
|
| 2446 |
+
"epoch": 106.33,
|
| 2447 |
+
"learning_rate": 3.596491228070175e-06,
|
| 2448 |
+
"loss": 0.2536,
|
| 2449 |
+
"step": 319
|
| 2450 |
+
},
|
| 2451 |
+
{
|
| 2452 |
+
"epoch": 106.67,
|
| 2453 |
+
"learning_rate": 3.5087719298245615e-06,
|
| 2454 |
+
"loss": 0.2697,
|
| 2455 |
+
"step": 320
|
| 2456 |
+
},
|
| 2457 |
+
{
|
| 2458 |
+
"epoch": 106.67,
|
| 2459 |
+
"eval_accuracy_dropoff": 0.351029246214993,
|
| 2460 |
+
"eval_accuracy_undropoff": 0.9915802123014796,
|
| 2461 |
+
"eval_accuracy_unlabeled": NaN,
|
| 2462 |
+
"eval_iou_dropoff": 0.297044957472661,
|
| 2463 |
+
"eval_iou_undropoff": 0.9626372013950762,
|
| 2464 |
+
"eval_iou_unlabeled": NaN,
|
| 2465 |
+
"eval_loss": 0.30429932475090027,
|
| 2466 |
+
"eval_mean_accuracy": 0.6713047292582364,
|
| 2467 |
+
"eval_mean_iou": 0.6298410794338687,
|
| 2468 |
+
"eval_overall_accuracy": 0.9632179260253906,
|
| 2469 |
+
"eval_runtime": 1.6867,
|
| 2470 |
+
"eval_samples_per_second": 8.893,
|
| 2471 |
+
"eval_steps_per_second": 0.593,
|
| 2472 |
+
"step": 320
|
| 2473 |
}
|
| 2474 |
],
|
| 2475 |
"max_steps": 360,
|
| 2476 |
"num_train_epochs": 120,
|
| 2477 |
+
"total_flos": 6.373605557403648e+16,
|
| 2478 |
"trial_name": null,
|
| 2479 |
"trial_params": null
|
| 2480 |
}
|
{checkpoint-120 → checkpoint-320}/training_args.bin
RENAMED
|
File without changes
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14932813
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a55ec50fc42ea86d9ec6df99fd09fafedf78db1bbbfa6b1133fb7d585c613bea
|
| 3 |
size 14932813
|
runs/Feb12_06-10-26_robovision.csres.utexas.edu/events.out.tfevents.1707739842.robovision.csres.utexas.edu.2691488.0
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 sha256:53324b3b98889363100f35bab43b1840cd288d09a92c8511998eb30caea803cd
|
| 3 |
+
size 79843
|