Training in progress, step 440
Browse files- {checkpoint-240 β checkpoint-440}/config.json +0 -0
- {checkpoint-240 β checkpoint-440}/optimizer.pt +2 -2
- {checkpoint-240 β checkpoint-440}/pytorch_model.bin +1 -1
- {checkpoint-240 β checkpoint-440}/rng_state.pth +1 -1
- {checkpoint-240 β checkpoint-440}/scheduler.pt +1 -1
- {checkpoint-240 β checkpoint-440}/trainer_state.json +1547 -7
- {checkpoint-240 β checkpoint-440}/training_args.bin +1 -1
- pytorch_model.bin +1 -1
- runs/Feb07_22-33-51_robolidar/events.out.tfevents.1707366836.robolidar.3751507.0 +2 -2
{checkpoint-240 β checkpoint-440}/config.json
RENAMED
File without changes
|
{checkpoint-240 β checkpoint-440}/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:a8339389c4bbcc341b549ec0fb5dbf242c04b33d6ac6ec21747ef973ea820456
|
3 |
+
size 29876677
|
{checkpoint-240 β checkpoint-440}/pytorch_model.bin
RENAMED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 14951629
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3beee8b6a90b79a352ed4237a7954d33002409243ccab9deabf124e2ef47a379
|
3 |
size 14951629
|
{checkpoint-240 β checkpoint-440}/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:b279322328b6d72b8c52ee38621739924351b1aee82f8e2c8f654cfb6184a256
|
3 |
size 14575
|
{checkpoint-240 β checkpoint-440}/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 sha256:7747e1db1e44fe467fc9f6650deee411a741afd099fe8aa0b97ec611b36afc6f
|
3 |
size 627
|
{checkpoint-240 β checkpoint-440}/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-RGBD-b0/checkpoint-
|
4 |
-
"epoch":
|
5 |
-
"global_step":
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
@@ -1854,11 +1854,1551 @@
|
|
1854 |
"eval_samples_per_second": 7.274,
|
1855 |
"eval_steps_per_second": 0.543,
|
1856 |
"step": 240
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1857 |
}
|
1858 |
],
|
1859 |
-
"max_steps":
|
1860 |
-
"num_train_epochs":
|
1861 |
-
"total_flos":
|
1862 |
"trial_name": null,
|
1863 |
"trial_params": null
|
1864 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.1686682254076004,
|
3 |
+
"best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/safety-utcustom-train-SF-RGBD-b0/checkpoint-440",
|
4 |
+
"epoch": 44.0,
|
5 |
+
"global_step": 440,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
|
|
1854 |
"eval_samples_per_second": 7.274,
|
1855 |
"eval_steps_per_second": 0.543,
|
1856 |
"step": 240
|
1857 |
+
},
|
1858 |
+
{
|
1859 |
+
"epoch": 24.1,
|
1860 |
+
"learning_rate": 1.0350877192982457e-05,
|
1861 |
+
"loss": 0.2361,
|
1862 |
+
"step": 241
|
1863 |
+
},
|
1864 |
+
{
|
1865 |
+
"epoch": 24.2,
|
1866 |
+
"learning_rate": 1.0175438596491228e-05,
|
1867 |
+
"loss": 0.2487,
|
1868 |
+
"step": 242
|
1869 |
+
},
|
1870 |
+
{
|
1871 |
+
"epoch": 24.3,
|
1872 |
+
"learning_rate": 1e-05,
|
1873 |
+
"loss": 0.2318,
|
1874 |
+
"step": 243
|
1875 |
+
},
|
1876 |
+
{
|
1877 |
+
"epoch": 24.4,
|
1878 |
+
"learning_rate": 9.824561403508772e-06,
|
1879 |
+
"loss": 0.2492,
|
1880 |
+
"step": 244
|
1881 |
+
},
|
1882 |
+
{
|
1883 |
+
"epoch": 24.5,
|
1884 |
+
"learning_rate": 9.649122807017545e-06,
|
1885 |
+
"loss": 0.2644,
|
1886 |
+
"step": 245
|
1887 |
+
},
|
1888 |
+
{
|
1889 |
+
"epoch": 24.6,
|
1890 |
+
"learning_rate": 9.473684210526317e-06,
|
1891 |
+
"loss": 0.2297,
|
1892 |
+
"step": 246
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 24.7,
|
1896 |
+
"learning_rate": 9.298245614035088e-06,
|
1897 |
+
"loss": 0.2757,
|
1898 |
+
"step": 247
|
1899 |
+
},
|
1900 |
+
{
|
1901 |
+
"epoch": 24.8,
|
1902 |
+
"learning_rate": 9.122807017543861e-06,
|
1903 |
+
"loss": 0.2373,
|
1904 |
+
"step": 248
|
1905 |
+
},
|
1906 |
+
{
|
1907 |
+
"epoch": 24.9,
|
1908 |
+
"learning_rate": 8.947368421052632e-06,
|
1909 |
+
"loss": 0.2465,
|
1910 |
+
"step": 249
|
1911 |
+
},
|
1912 |
+
{
|
1913 |
+
"epoch": 25.0,
|
1914 |
+
"learning_rate": 8.771929824561403e-06,
|
1915 |
+
"loss": 0.2448,
|
1916 |
+
"step": 250
|
1917 |
+
},
|
1918 |
+
{
|
1919 |
+
"epoch": 25.0,
|
1920 |
+
"eval_accuracy_safe": 0.21411444057655907,
|
1921 |
+
"eval_accuracy_unlabeled": NaN,
|
1922 |
+
"eval_accuracy_unsafe": 0.9984515553851293,
|
1923 |
+
"eval_iou_safe": 0.2037491172883097,
|
1924 |
+
"eval_iou_unlabeled": NaN,
|
1925 |
+
"eval_iou_unsafe": 0.9751261777280302,
|
1926 |
+
"eval_loss": 0.22617702186107635,
|
1927 |
+
"eval_mean_accuracy": 0.6062829979808442,
|
1928 |
+
"eval_mean_iou": 0.58943764750817,
|
1929 |
+
"eval_overall_accuracy": 0.975283494636194,
|
1930 |
+
"eval_runtime": 9.8675,
|
1931 |
+
"eval_samples_per_second": 6.79,
|
1932 |
+
"eval_steps_per_second": 0.507,
|
1933 |
+
"step": 250
|
1934 |
+
},
|
1935 |
+
{
|
1936 |
+
"epoch": 25.1,
|
1937 |
+
"learning_rate": 8.596491228070176e-06,
|
1938 |
+
"loss": 0.2223,
|
1939 |
+
"step": 251
|
1940 |
+
},
|
1941 |
+
{
|
1942 |
+
"epoch": 25.2,
|
1943 |
+
"learning_rate": 8.421052631578948e-06,
|
1944 |
+
"loss": 0.2382,
|
1945 |
+
"step": 252
|
1946 |
+
},
|
1947 |
+
{
|
1948 |
+
"epoch": 25.3,
|
1949 |
+
"learning_rate": 8.245614035087721e-06,
|
1950 |
+
"loss": 0.2313,
|
1951 |
+
"step": 253
|
1952 |
+
},
|
1953 |
+
{
|
1954 |
+
"epoch": 25.4,
|
1955 |
+
"learning_rate": 8.070175438596492e-06,
|
1956 |
+
"loss": 0.2753,
|
1957 |
+
"step": 254
|
1958 |
+
},
|
1959 |
+
{
|
1960 |
+
"epoch": 25.5,
|
1961 |
+
"learning_rate": 7.894736842105263e-06,
|
1962 |
+
"loss": 0.2313,
|
1963 |
+
"step": 255
|
1964 |
+
},
|
1965 |
+
{
|
1966 |
+
"epoch": 25.6,
|
1967 |
+
"learning_rate": 7.719298245614036e-06,
|
1968 |
+
"loss": 0.2392,
|
1969 |
+
"step": 256
|
1970 |
+
},
|
1971 |
+
{
|
1972 |
+
"epoch": 25.7,
|
1973 |
+
"learning_rate": 7.5438596491228074e-06,
|
1974 |
+
"loss": 0.2287,
|
1975 |
+
"step": 257
|
1976 |
+
},
|
1977 |
+
{
|
1978 |
+
"epoch": 25.8,
|
1979 |
+
"learning_rate": 7.3684210526315784e-06,
|
1980 |
+
"loss": 0.2145,
|
1981 |
+
"step": 258
|
1982 |
+
},
|
1983 |
+
{
|
1984 |
+
"epoch": 25.9,
|
1985 |
+
"learning_rate": 7.192982456140351e-06,
|
1986 |
+
"loss": 0.2461,
|
1987 |
+
"step": 259
|
1988 |
+
},
|
1989 |
+
{
|
1990 |
+
"epoch": 26.0,
|
1991 |
+
"learning_rate": 7.017543859649123e-06,
|
1992 |
+
"loss": 0.2547,
|
1993 |
+
"step": 260
|
1994 |
+
},
|
1995 |
+
{
|
1996 |
+
"epoch": 26.0,
|
1997 |
+
"eval_accuracy_safe": 0.2736573875968096,
|
1998 |
+
"eval_accuracy_unlabeled": NaN,
|
1999 |
+
"eval_accuracy_unsafe": 0.997840402899504,
|
2000 |
+
"eval_iou_safe": 0.25552723843257524,
|
2001 |
+
"eval_iou_unlabeled": NaN,
|
2002 |
+
"eval_iou_unsafe": 0.9762572758507593,
|
2003 |
+
"eval_loss": 0.22811570763587952,
|
2004 |
+
"eval_mean_accuracy": 0.6357488952481568,
|
2005 |
+
"eval_mean_iou": 0.6158922571416673,
|
2006 |
+
"eval_overall_accuracy": 0.976449197797633,
|
2007 |
+
"eval_runtime": 9.8195,
|
2008 |
+
"eval_samples_per_second": 6.823,
|
2009 |
+
"eval_steps_per_second": 0.509,
|
2010 |
+
"step": 260
|
2011 |
+
},
|
2012 |
+
{
|
2013 |
+
"epoch": 26.1,
|
2014 |
+
"learning_rate": 6.842105263157896e-06,
|
2015 |
+
"loss": 0.232,
|
2016 |
+
"step": 261
|
2017 |
+
},
|
2018 |
+
{
|
2019 |
+
"epoch": 26.2,
|
2020 |
+
"learning_rate": 6.666666666666667e-06,
|
2021 |
+
"loss": 0.2341,
|
2022 |
+
"step": 262
|
2023 |
+
},
|
2024 |
+
{
|
2025 |
+
"epoch": 26.3,
|
2026 |
+
"learning_rate": 6.4912280701754385e-06,
|
2027 |
+
"loss": 0.235,
|
2028 |
+
"step": 263
|
2029 |
+
},
|
2030 |
+
{
|
2031 |
+
"epoch": 26.4,
|
2032 |
+
"learning_rate": 6.315789473684211e-06,
|
2033 |
+
"loss": 0.2276,
|
2034 |
+
"step": 264
|
2035 |
+
},
|
2036 |
+
{
|
2037 |
+
"epoch": 26.5,
|
2038 |
+
"learning_rate": 6.140350877192982e-06,
|
2039 |
+
"loss": 0.2661,
|
2040 |
+
"step": 265
|
2041 |
+
},
|
2042 |
+
{
|
2043 |
+
"epoch": 26.6,
|
2044 |
+
"learning_rate": 5.964912280701755e-06,
|
2045 |
+
"loss": 0.2416,
|
2046 |
+
"step": 266
|
2047 |
+
},
|
2048 |
+
{
|
2049 |
+
"epoch": 26.7,
|
2050 |
+
"learning_rate": 5.789473684210527e-06,
|
2051 |
+
"loss": 0.2499,
|
2052 |
+
"step": 267
|
2053 |
+
},
|
2054 |
+
{
|
2055 |
+
"epoch": 26.8,
|
2056 |
+
"learning_rate": 5.6140350877192985e-06,
|
2057 |
+
"loss": 0.223,
|
2058 |
+
"step": 268
|
2059 |
+
},
|
2060 |
+
{
|
2061 |
+
"epoch": 26.9,
|
2062 |
+
"learning_rate": 5.43859649122807e-06,
|
2063 |
+
"loss": 0.2192,
|
2064 |
+
"step": 269
|
2065 |
+
},
|
2066 |
+
{
|
2067 |
+
"epoch": 27.0,
|
2068 |
+
"learning_rate": 5.263157894736842e-06,
|
2069 |
+
"loss": 0.2266,
|
2070 |
+
"step": 270
|
2071 |
+
},
|
2072 |
+
{
|
2073 |
+
"epoch": 27.0,
|
2074 |
+
"eval_accuracy_safe": 0.2391143442006777,
|
2075 |
+
"eval_accuracy_unlabeled": NaN,
|
2076 |
+
"eval_accuracy_unsafe": 0.9981174954587445,
|
2077 |
+
"eval_iou_safe": 0.22518692513373836,
|
2078 |
+
"eval_iou_unlabeled": NaN,
|
2079 |
+
"eval_iou_unsafe": 0.9755248903429237,
|
2080 |
+
"eval_loss": 0.21912012994289398,
|
2081 |
+
"eval_mean_accuracy": 0.6186159198297111,
|
2082 |
+
"eval_mean_iou": 0.600355907738331,
|
2083 |
+
"eval_overall_accuracy": 0.9756977593720849,
|
2084 |
+
"eval_runtime": 9.2527,
|
2085 |
+
"eval_samples_per_second": 7.241,
|
2086 |
+
"eval_steps_per_second": 0.54,
|
2087 |
+
"step": 270
|
2088 |
+
},
|
2089 |
+
{
|
2090 |
+
"epoch": 27.1,
|
2091 |
+
"learning_rate": 5.087719298245614e-06,
|
2092 |
+
"loss": 0.235,
|
2093 |
+
"step": 271
|
2094 |
+
},
|
2095 |
+
{
|
2096 |
+
"epoch": 27.2,
|
2097 |
+
"learning_rate": 4.912280701754386e-06,
|
2098 |
+
"loss": 0.2273,
|
2099 |
+
"step": 272
|
2100 |
+
},
|
2101 |
+
{
|
2102 |
+
"epoch": 27.3,
|
2103 |
+
"learning_rate": 4.736842105263159e-06,
|
2104 |
+
"loss": 0.2235,
|
2105 |
+
"step": 273
|
2106 |
+
},
|
2107 |
+
{
|
2108 |
+
"epoch": 27.4,
|
2109 |
+
"learning_rate": 4.5614035087719304e-06,
|
2110 |
+
"loss": 0.2364,
|
2111 |
+
"step": 274
|
2112 |
+
},
|
2113 |
+
{
|
2114 |
+
"epoch": 27.5,
|
2115 |
+
"learning_rate": 4.3859649122807014e-06,
|
2116 |
+
"loss": 0.2449,
|
2117 |
+
"step": 275
|
2118 |
+
},
|
2119 |
+
{
|
2120 |
+
"epoch": 27.6,
|
2121 |
+
"learning_rate": 4.210526315789474e-06,
|
2122 |
+
"loss": 0.253,
|
2123 |
+
"step": 276
|
2124 |
+
},
|
2125 |
+
{
|
2126 |
+
"epoch": 27.7,
|
2127 |
+
"learning_rate": 4.035087719298246e-06,
|
2128 |
+
"loss": 0.247,
|
2129 |
+
"step": 277
|
2130 |
+
},
|
2131 |
+
{
|
2132 |
+
"epoch": 27.8,
|
2133 |
+
"learning_rate": 3.859649122807018e-06,
|
2134 |
+
"loss": 0.2271,
|
2135 |
+
"step": 278
|
2136 |
+
},
|
2137 |
+
{
|
2138 |
+
"epoch": 27.9,
|
2139 |
+
"learning_rate": 3.6842105263157892e-06,
|
2140 |
+
"loss": 0.2359,
|
2141 |
+
"step": 279
|
2142 |
+
},
|
2143 |
+
{
|
2144 |
+
"epoch": 28.0,
|
2145 |
+
"learning_rate": 3.5087719298245615e-06,
|
2146 |
+
"loss": 0.2357,
|
2147 |
+
"step": 280
|
2148 |
+
},
|
2149 |
+
{
|
2150 |
+
"epoch": 28.0,
|
2151 |
+
"eval_accuracy_safe": 0.2226726188410993,
|
2152 |
+
"eval_accuracy_unlabeled": NaN,
|
2153 |
+
"eval_accuracy_unsafe": 0.9984927995242667,
|
2154 |
+
"eval_iou_safe": 0.21216656994042152,
|
2155 |
+
"eval_iou_unlabeled": NaN,
|
2156 |
+
"eval_iou_unsafe": 0.9754146075867751,
|
2157 |
+
"eval_loss": 0.22175094485282898,
|
2158 |
+
"eval_mean_accuracy": 0.610582709182683,
|
2159 |
+
"eval_mean_iou": 0.5937905887635984,
|
2160 |
+
"eval_overall_accuracy": 0.9755763153531658,
|
2161 |
+
"eval_runtime": 9.6277,
|
2162 |
+
"eval_samples_per_second": 6.959,
|
2163 |
+
"eval_steps_per_second": 0.519,
|
2164 |
+
"step": 280
|
2165 |
+
},
|
2166 |
+
{
|
2167 |
+
"epoch": 28.1,
|
2168 |
+
"learning_rate": 2.305263157894737e-05,
|
2169 |
+
"loss": 0.213,
|
2170 |
+
"step": 281
|
2171 |
+
},
|
2172 |
+
{
|
2173 |
+
"epoch": 28.2,
|
2174 |
+
"learning_rate": 2.294736842105263e-05,
|
2175 |
+
"loss": 0.2174,
|
2176 |
+
"step": 282
|
2177 |
+
},
|
2178 |
+
{
|
2179 |
+
"epoch": 28.3,
|
2180 |
+
"learning_rate": 2.2842105263157897e-05,
|
2181 |
+
"loss": 0.2389,
|
2182 |
+
"step": 283
|
2183 |
+
},
|
2184 |
+
{
|
2185 |
+
"epoch": 28.4,
|
2186 |
+
"learning_rate": 2.273684210526316e-05,
|
2187 |
+
"loss": 0.2463,
|
2188 |
+
"step": 284
|
2189 |
+
},
|
2190 |
+
{
|
2191 |
+
"epoch": 28.5,
|
2192 |
+
"learning_rate": 2.2631578947368423e-05,
|
2193 |
+
"loss": 0.2331,
|
2194 |
+
"step": 285
|
2195 |
+
},
|
2196 |
+
{
|
2197 |
+
"epoch": 28.6,
|
2198 |
+
"learning_rate": 2.2526315789473683e-05,
|
2199 |
+
"loss": 0.2407,
|
2200 |
+
"step": 286
|
2201 |
+
},
|
2202 |
+
{
|
2203 |
+
"epoch": 28.7,
|
2204 |
+
"learning_rate": 2.242105263157895e-05,
|
2205 |
+
"loss": 0.2369,
|
2206 |
+
"step": 287
|
2207 |
+
},
|
2208 |
+
{
|
2209 |
+
"epoch": 28.8,
|
2210 |
+
"learning_rate": 2.2315789473684213e-05,
|
2211 |
+
"loss": 0.2691,
|
2212 |
+
"step": 288
|
2213 |
+
},
|
2214 |
+
{
|
2215 |
+
"epoch": 28.9,
|
2216 |
+
"learning_rate": 2.2210526315789476e-05,
|
2217 |
+
"loss": 0.2388,
|
2218 |
+
"step": 289
|
2219 |
+
},
|
2220 |
+
{
|
2221 |
+
"epoch": 29.0,
|
2222 |
+
"learning_rate": 2.2105263157894736e-05,
|
2223 |
+
"loss": 0.2563,
|
2224 |
+
"step": 290
|
2225 |
+
},
|
2226 |
+
{
|
2227 |
+
"epoch": 29.0,
|
2228 |
+
"eval_accuracy_safe": 0.1852113137574643,
|
2229 |
+
"eval_accuracy_unlabeled": NaN,
|
2230 |
+
"eval_accuracy_unsafe": 0.9987948263070255,
|
2231 |
+
"eval_iou_safe": 0.17815716870865347,
|
2232 |
+
"eval_iou_unlabeled": NaN,
|
2233 |
+
"eval_iou_unsafe": 0.9746240459457417,
|
2234 |
+
"eval_loss": 0.20956651866436005,
|
2235 |
+
"eval_mean_accuracy": 0.592003070032245,
|
2236 |
+
"eval_mean_iou": 0.5763906073271976,
|
2237 |
+
"eval_overall_accuracy": 0.9747628738631063,
|
2238 |
+
"eval_runtime": 9.3361,
|
2239 |
+
"eval_samples_per_second": 7.176,
|
2240 |
+
"eval_steps_per_second": 0.536,
|
2241 |
+
"step": 290
|
2242 |
+
},
|
2243 |
+
{
|
2244 |
+
"epoch": 29.1,
|
2245 |
+
"learning_rate": 2.2000000000000003e-05,
|
2246 |
+
"loss": 0.2531,
|
2247 |
+
"step": 291
|
2248 |
+
},
|
2249 |
+
{
|
2250 |
+
"epoch": 29.2,
|
2251 |
+
"learning_rate": 2.1894736842105266e-05,
|
2252 |
+
"loss": 0.2131,
|
2253 |
+
"step": 292
|
2254 |
+
},
|
2255 |
+
{
|
2256 |
+
"epoch": 29.3,
|
2257 |
+
"learning_rate": 2.1789473684210526e-05,
|
2258 |
+
"loss": 0.2521,
|
2259 |
+
"step": 293
|
2260 |
+
},
|
2261 |
+
{
|
2262 |
+
"epoch": 29.4,
|
2263 |
+
"learning_rate": 2.168421052631579e-05,
|
2264 |
+
"loss": 0.2286,
|
2265 |
+
"step": 294
|
2266 |
+
},
|
2267 |
+
{
|
2268 |
+
"epoch": 29.5,
|
2269 |
+
"learning_rate": 2.1578947368421053e-05,
|
2270 |
+
"loss": 0.2359,
|
2271 |
+
"step": 295
|
2272 |
+
},
|
2273 |
+
{
|
2274 |
+
"epoch": 29.6,
|
2275 |
+
"learning_rate": 2.147368421052632e-05,
|
2276 |
+
"loss": 0.2319,
|
2277 |
+
"step": 296
|
2278 |
+
},
|
2279 |
+
{
|
2280 |
+
"epoch": 29.7,
|
2281 |
+
"learning_rate": 2.136842105263158e-05,
|
2282 |
+
"loss": 0.2117,
|
2283 |
+
"step": 297
|
2284 |
+
},
|
2285 |
+
{
|
2286 |
+
"epoch": 29.8,
|
2287 |
+
"learning_rate": 2.1263157894736842e-05,
|
2288 |
+
"loss": 0.2248,
|
2289 |
+
"step": 298
|
2290 |
+
},
|
2291 |
+
{
|
2292 |
+
"epoch": 29.9,
|
2293 |
+
"learning_rate": 2.1157894736842106e-05,
|
2294 |
+
"loss": 0.2189,
|
2295 |
+
"step": 299
|
2296 |
+
},
|
2297 |
+
{
|
2298 |
+
"epoch": 30.0,
|
2299 |
+
"learning_rate": 2.105263157894737e-05,
|
2300 |
+
"loss": 0.226,
|
2301 |
+
"step": 300
|
2302 |
+
},
|
2303 |
+
{
|
2304 |
+
"epoch": 30.0,
|
2305 |
+
"eval_accuracy_safe": 0.2843975158152821,
|
2306 |
+
"eval_accuracy_unlabeled": NaN,
|
2307 |
+
"eval_accuracy_unsafe": 0.9976802371813743,
|
2308 |
+
"eval_iou_safe": 0.2642573906315484,
|
2309 |
+
"eval_iou_unlabeled": NaN,
|
2310 |
+
"eval_iou_unsafe": 0.9764128620744182,
|
2311 |
+
"eval_loss": 0.21209673583507538,
|
2312 |
+
"eval_mean_accuracy": 0.6410388764983282,
|
2313 |
+
"eval_mean_iou": 0.6203351263529833,
|
2314 |
+
"eval_overall_accuracy": 0.9766110092846315,
|
2315 |
+
"eval_runtime": 10.6202,
|
2316 |
+
"eval_samples_per_second": 6.309,
|
2317 |
+
"eval_steps_per_second": 0.471,
|
2318 |
+
"step": 300
|
2319 |
+
},
|
2320 |
+
{
|
2321 |
+
"epoch": 30.1,
|
2322 |
+
"learning_rate": 2.0947368421052632e-05,
|
2323 |
+
"loss": 0.2109,
|
2324 |
+
"step": 301
|
2325 |
+
},
|
2326 |
+
{
|
2327 |
+
"epoch": 30.2,
|
2328 |
+
"learning_rate": 2.0842105263157895e-05,
|
2329 |
+
"loss": 0.2058,
|
2330 |
+
"step": 302
|
2331 |
+
},
|
2332 |
+
{
|
2333 |
+
"epoch": 30.3,
|
2334 |
+
"learning_rate": 2.073684210526316e-05,
|
2335 |
+
"loss": 0.2244,
|
2336 |
+
"step": 303
|
2337 |
+
},
|
2338 |
+
{
|
2339 |
+
"epoch": 30.4,
|
2340 |
+
"learning_rate": 2.0631578947368422e-05,
|
2341 |
+
"loss": 0.2107,
|
2342 |
+
"step": 304
|
2343 |
+
},
|
2344 |
+
{
|
2345 |
+
"epoch": 30.5,
|
2346 |
+
"learning_rate": 2.0526315789473685e-05,
|
2347 |
+
"loss": 0.2341,
|
2348 |
+
"step": 305
|
2349 |
+
},
|
2350 |
+
{
|
2351 |
+
"epoch": 30.6,
|
2352 |
+
"learning_rate": 2.042105263157895e-05,
|
2353 |
+
"loss": 0.2223,
|
2354 |
+
"step": 306
|
2355 |
+
},
|
2356 |
+
{
|
2357 |
+
"epoch": 30.7,
|
2358 |
+
"learning_rate": 2.0315789473684212e-05,
|
2359 |
+
"loss": 0.2399,
|
2360 |
+
"step": 307
|
2361 |
+
},
|
2362 |
+
{
|
2363 |
+
"epoch": 30.8,
|
2364 |
+
"learning_rate": 2.0210526315789475e-05,
|
2365 |
+
"loss": 0.2152,
|
2366 |
+
"step": 308
|
2367 |
+
},
|
2368 |
+
{
|
2369 |
+
"epoch": 30.9,
|
2370 |
+
"learning_rate": 2.010526315789474e-05,
|
2371 |
+
"loss": 0.2303,
|
2372 |
+
"step": 309
|
2373 |
+
},
|
2374 |
+
{
|
2375 |
+
"epoch": 31.0,
|
2376 |
+
"learning_rate": 2e-05,
|
2377 |
+
"loss": 0.2221,
|
2378 |
+
"step": 310
|
2379 |
+
},
|
2380 |
+
{
|
2381 |
+
"epoch": 31.0,
|
2382 |
+
"eval_accuracy_safe": 0.2718031156394925,
|
2383 |
+
"eval_accuracy_unlabeled": NaN,
|
2384 |
+
"eval_accuracy_unsafe": 0.9977821448196129,
|
2385 |
+
"eval_iou_safe": 0.253343035006872,
|
2386 |
+
"eval_iou_unlabeled": NaN,
|
2387 |
+
"eval_iou_unsafe": 0.9761463764725383,
|
2388 |
+
"eval_loss": 0.20163898169994354,
|
2389 |
+
"eval_mean_accuracy": 0.6347926302295527,
|
2390 |
+
"eval_mean_iou": 0.6147447057397052,
|
2391 |
+
"eval_overall_accuracy": 0.9763378883475688,
|
2392 |
+
"eval_runtime": 9.6143,
|
2393 |
+
"eval_samples_per_second": 6.969,
|
2394 |
+
"eval_steps_per_second": 0.52,
|
2395 |
+
"step": 310
|
2396 |
+
},
|
2397 |
+
{
|
2398 |
+
"epoch": 31.1,
|
2399 |
+
"learning_rate": 1.9894736842105265e-05,
|
2400 |
+
"loss": 0.2184,
|
2401 |
+
"step": 311
|
2402 |
+
},
|
2403 |
+
{
|
2404 |
+
"epoch": 31.2,
|
2405 |
+
"learning_rate": 1.9789473684210528e-05,
|
2406 |
+
"loss": 0.2253,
|
2407 |
+
"step": 312
|
2408 |
+
},
|
2409 |
+
{
|
2410 |
+
"epoch": 31.3,
|
2411 |
+
"learning_rate": 1.968421052631579e-05,
|
2412 |
+
"loss": 0.2304,
|
2413 |
+
"step": 313
|
2414 |
+
},
|
2415 |
+
{
|
2416 |
+
"epoch": 31.4,
|
2417 |
+
"learning_rate": 1.957894736842105e-05,
|
2418 |
+
"loss": 0.2157,
|
2419 |
+
"step": 314
|
2420 |
+
},
|
2421 |
+
{
|
2422 |
+
"epoch": 31.5,
|
2423 |
+
"learning_rate": 1.9473684210526315e-05,
|
2424 |
+
"loss": 0.2134,
|
2425 |
+
"step": 315
|
2426 |
+
},
|
2427 |
+
{
|
2428 |
+
"epoch": 31.6,
|
2429 |
+
"learning_rate": 1.936842105263158e-05,
|
2430 |
+
"loss": 0.1973,
|
2431 |
+
"step": 316
|
2432 |
+
},
|
2433 |
+
{
|
2434 |
+
"epoch": 31.7,
|
2435 |
+
"learning_rate": 1.9263157894736845e-05,
|
2436 |
+
"loss": 0.2071,
|
2437 |
+
"step": 317
|
2438 |
+
},
|
2439 |
+
{
|
2440 |
+
"epoch": 31.8,
|
2441 |
+
"learning_rate": 1.9157894736842104e-05,
|
2442 |
+
"loss": 0.2047,
|
2443 |
+
"step": 318
|
2444 |
+
},
|
2445 |
+
{
|
2446 |
+
"epoch": 31.9,
|
2447 |
+
"learning_rate": 1.9052631578947368e-05,
|
2448 |
+
"loss": 0.2216,
|
2449 |
+
"step": 319
|
2450 |
+
},
|
2451 |
+
{
|
2452 |
+
"epoch": 32.0,
|
2453 |
+
"learning_rate": 1.8947368421052634e-05,
|
2454 |
+
"loss": 0.2317,
|
2455 |
+
"step": 320
|
2456 |
+
},
|
2457 |
+
{
|
2458 |
+
"epoch": 32.0,
|
2459 |
+
"eval_accuracy_safe": 0.2649045300519273,
|
2460 |
+
"eval_accuracy_unlabeled": NaN,
|
2461 |
+
"eval_accuracy_unsafe": 0.99817452149465,
|
2462 |
+
"eval_iou_safe": 0.2499158963989111,
|
2463 |
+
"eval_iou_unlabeled": NaN,
|
2464 |
+
"eval_iou_unsafe": 0.9763296849028891,
|
2465 |
+
"eval_loss": 0.20076872408390045,
|
2466 |
+
"eval_mean_accuracy": 0.6315395257732886,
|
2467 |
+
"eval_mean_iou": 0.6131227906509,
|
2468 |
+
"eval_overall_accuracy": 0.9765149016878498,
|
2469 |
+
"eval_runtime": 10.0363,
|
2470 |
+
"eval_samples_per_second": 6.676,
|
2471 |
+
"eval_steps_per_second": 0.498,
|
2472 |
+
"step": 320
|
2473 |
+
},
|
2474 |
+
{
|
2475 |
+
"epoch": 32.1,
|
2476 |
+
"learning_rate": 1.8842105263157894e-05,
|
2477 |
+
"loss": 0.2222,
|
2478 |
+
"step": 321
|
2479 |
+
},
|
2480 |
+
{
|
2481 |
+
"epoch": 32.2,
|
2482 |
+
"learning_rate": 1.8736842105263158e-05,
|
2483 |
+
"loss": 0.2257,
|
2484 |
+
"step": 322
|
2485 |
+
},
|
2486 |
+
{
|
2487 |
+
"epoch": 32.3,
|
2488 |
+
"learning_rate": 1.863157894736842e-05,
|
2489 |
+
"loss": 0.2139,
|
2490 |
+
"step": 323
|
2491 |
+
},
|
2492 |
+
{
|
2493 |
+
"epoch": 32.4,
|
2494 |
+
"learning_rate": 1.8526315789473687e-05,
|
2495 |
+
"loss": 0.1901,
|
2496 |
+
"step": 324
|
2497 |
+
},
|
2498 |
+
{
|
2499 |
+
"epoch": 32.5,
|
2500 |
+
"learning_rate": 1.8421052631578947e-05,
|
2501 |
+
"loss": 0.2044,
|
2502 |
+
"step": 325
|
2503 |
+
},
|
2504 |
+
{
|
2505 |
+
"epoch": 32.6,
|
2506 |
+
"learning_rate": 1.831578947368421e-05,
|
2507 |
+
"loss": 0.2069,
|
2508 |
+
"step": 326
|
2509 |
+
},
|
2510 |
+
{
|
2511 |
+
"epoch": 32.7,
|
2512 |
+
"learning_rate": 1.8210526315789474e-05,
|
2513 |
+
"loss": 0.2133,
|
2514 |
+
"step": 327
|
2515 |
+
},
|
2516 |
+
{
|
2517 |
+
"epoch": 32.8,
|
2518 |
+
"learning_rate": 1.810526315789474e-05,
|
2519 |
+
"loss": 0.2049,
|
2520 |
+
"step": 328
|
2521 |
+
},
|
2522 |
+
{
|
2523 |
+
"epoch": 32.9,
|
2524 |
+
"learning_rate": 1.8e-05,
|
2525 |
+
"loss": 0.2138,
|
2526 |
+
"step": 329
|
2527 |
+
},
|
2528 |
+
{
|
2529 |
+
"epoch": 33.0,
|
2530 |
+
"learning_rate": 1.7894736842105264e-05,
|
2531 |
+
"loss": 0.2643,
|
2532 |
+
"step": 330
|
2533 |
+
},
|
2534 |
+
{
|
2535 |
+
"epoch": 33.0,
|
2536 |
+
"eval_accuracy_safe": 0.32538617815659926,
|
2537 |
+
"eval_accuracy_unlabeled": NaN,
|
2538 |
+
"eval_accuracy_unsafe": 0.9975752200987912,
|
2539 |
+
"eval_iou_safe": 0.30137717538008896,
|
2540 |
+
"eval_iou_unlabeled": NaN,
|
2541 |
+
"eval_iou_unsafe": 0.977503612135026,
|
2542 |
+
"eval_loss": 0.19892987608909607,
|
2543 |
+
"eval_mean_accuracy": 0.6614806991276952,
|
2544 |
+
"eval_mean_iou": 0.6394403937575575,
|
2545 |
+
"eval_overall_accuracy": 0.9777198336017665,
|
2546 |
+
"eval_runtime": 10.0482,
|
2547 |
+
"eval_samples_per_second": 6.668,
|
2548 |
+
"eval_steps_per_second": 0.498,
|
2549 |
+
"step": 330
|
2550 |
+
},
|
2551 |
+
{
|
2552 |
+
"epoch": 33.1,
|
2553 |
+
"learning_rate": 1.7789473684210527e-05,
|
2554 |
+
"loss": 0.2032,
|
2555 |
+
"step": 331
|
2556 |
+
},
|
2557 |
+
{
|
2558 |
+
"epoch": 33.2,
|
2559 |
+
"learning_rate": 1.768421052631579e-05,
|
2560 |
+
"loss": 0.2138,
|
2561 |
+
"step": 332
|
2562 |
+
},
|
2563 |
+
{
|
2564 |
+
"epoch": 33.3,
|
2565 |
+
"learning_rate": 1.7578947368421054e-05,
|
2566 |
+
"loss": 0.225,
|
2567 |
+
"step": 333
|
2568 |
+
},
|
2569 |
+
{
|
2570 |
+
"epoch": 33.4,
|
2571 |
+
"learning_rate": 1.7473684210526317e-05,
|
2572 |
+
"loss": 0.1898,
|
2573 |
+
"step": 334
|
2574 |
+
},
|
2575 |
+
{
|
2576 |
+
"epoch": 33.5,
|
2577 |
+
"learning_rate": 1.736842105263158e-05,
|
2578 |
+
"loss": 0.2084,
|
2579 |
+
"step": 335
|
2580 |
+
},
|
2581 |
+
{
|
2582 |
+
"epoch": 33.6,
|
2583 |
+
"learning_rate": 1.7263157894736843e-05,
|
2584 |
+
"loss": 0.2185,
|
2585 |
+
"step": 336
|
2586 |
+
},
|
2587 |
+
{
|
2588 |
+
"epoch": 33.7,
|
2589 |
+
"learning_rate": 1.7157894736842107e-05,
|
2590 |
+
"loss": 0.2103,
|
2591 |
+
"step": 337
|
2592 |
+
},
|
2593 |
+
{
|
2594 |
+
"epoch": 33.8,
|
2595 |
+
"learning_rate": 1.705263157894737e-05,
|
2596 |
+
"loss": 0.192,
|
2597 |
+
"step": 338
|
2598 |
+
},
|
2599 |
+
{
|
2600 |
+
"epoch": 33.9,
|
2601 |
+
"learning_rate": 1.694736842105263e-05,
|
2602 |
+
"loss": 0.2015,
|
2603 |
+
"step": 339
|
2604 |
+
},
|
2605 |
+
{
|
2606 |
+
"epoch": 34.0,
|
2607 |
+
"learning_rate": 1.6842105263157896e-05,
|
2608 |
+
"loss": 0.2118,
|
2609 |
+
"step": 340
|
2610 |
+
},
|
2611 |
+
{
|
2612 |
+
"epoch": 34.0,
|
2613 |
+
"eval_accuracy_safe": 0.3347327111306433,
|
2614 |
+
"eval_accuracy_unlabeled": NaN,
|
2615 |
+
"eval_accuracy_unsafe": 0.997749583657136,
|
2616 |
+
"eval_iou_safe": 0.3116878455021897,
|
2617 |
+
"eval_iou_unlabeled": NaN,
|
2618 |
+
"eval_iou_unsafe": 0.9779470808145468,
|
2619 |
+
"eval_loss": 0.1900891214609146,
|
2620 |
+
"eval_mean_accuracy": 0.6662411473938896,
|
2621 |
+
"eval_mean_iou": 0.6448174631583683,
|
2622 |
+
"eval_overall_accuracy": 0.9781651283378032,
|
2623 |
+
"eval_runtime": 9.3476,
|
2624 |
+
"eval_samples_per_second": 7.168,
|
2625 |
+
"eval_steps_per_second": 0.535,
|
2626 |
+
"step": 340
|
2627 |
+
},
|
2628 |
+
{
|
2629 |
+
"epoch": 34.1,
|
2630 |
+
"learning_rate": 1.673684210526316e-05,
|
2631 |
+
"loss": 0.1939,
|
2632 |
+
"step": 341
|
2633 |
+
},
|
2634 |
+
{
|
2635 |
+
"epoch": 34.2,
|
2636 |
+
"learning_rate": 1.6631578947368423e-05,
|
2637 |
+
"loss": 0.1964,
|
2638 |
+
"step": 342
|
2639 |
+
},
|
2640 |
+
{
|
2641 |
+
"epoch": 34.3,
|
2642 |
+
"learning_rate": 1.6526315789473683e-05,
|
2643 |
+
"loss": 0.2013,
|
2644 |
+
"step": 343
|
2645 |
+
},
|
2646 |
+
{
|
2647 |
+
"epoch": 34.4,
|
2648 |
+
"learning_rate": 1.642105263157895e-05,
|
2649 |
+
"loss": 0.2023,
|
2650 |
+
"step": 344
|
2651 |
+
},
|
2652 |
+
{
|
2653 |
+
"epoch": 34.5,
|
2654 |
+
"learning_rate": 1.6315789473684213e-05,
|
2655 |
+
"loss": 0.1977,
|
2656 |
+
"step": 345
|
2657 |
+
},
|
2658 |
+
{
|
2659 |
+
"epoch": 34.6,
|
2660 |
+
"learning_rate": 1.6210526315789473e-05,
|
2661 |
+
"loss": 0.2127,
|
2662 |
+
"step": 346
|
2663 |
+
},
|
2664 |
+
{
|
2665 |
+
"epoch": 34.7,
|
2666 |
+
"learning_rate": 1.6105263157894736e-05,
|
2667 |
+
"loss": 0.2226,
|
2668 |
+
"step": 347
|
2669 |
+
},
|
2670 |
+
{
|
2671 |
+
"epoch": 34.8,
|
2672 |
+
"learning_rate": 1.6000000000000003e-05,
|
2673 |
+
"loss": 0.2097,
|
2674 |
+
"step": 348
|
2675 |
+
},
|
2676 |
+
{
|
2677 |
+
"epoch": 34.9,
|
2678 |
+
"learning_rate": 1.5894736842105266e-05,
|
2679 |
+
"loss": 0.1962,
|
2680 |
+
"step": 349
|
2681 |
+
},
|
2682 |
+
{
|
2683 |
+
"epoch": 35.0,
|
2684 |
+
"learning_rate": 1.5789473684210526e-05,
|
2685 |
+
"loss": 0.2133,
|
2686 |
+
"step": 350
|
2687 |
+
},
|
2688 |
+
{
|
2689 |
+
"epoch": 35.0,
|
2690 |
+
"eval_accuracy_safe": 0.3618933620147956,
|
2691 |
+
"eval_accuracy_unlabeled": NaN,
|
2692 |
+
"eval_accuracy_unsafe": 0.9975545100260806,
|
2693 |
+
"eval_iou_safe": 0.3349795266599463,
|
2694 |
+
"eval_iou_unlabeled": NaN,
|
2695 |
+
"eval_iou_unsafe": 0.9785487908911983,
|
2696 |
+
"eval_loss": 0.19170759618282318,
|
2697 |
+
"eval_mean_accuracy": 0.6797239360204381,
|
2698 |
+
"eval_mean_iou": 0.6567641587755723,
|
2699 |
+
"eval_overall_accuracy": 0.9787780989461871,
|
2700 |
+
"eval_runtime": 10.6094,
|
2701 |
+
"eval_samples_per_second": 6.315,
|
2702 |
+
"eval_steps_per_second": 0.471,
|
2703 |
+
"step": 350
|
2704 |
+
},
|
2705 |
+
{
|
2706 |
+
"epoch": 35.1,
|
2707 |
+
"learning_rate": 1.568421052631579e-05,
|
2708 |
+
"loss": 0.1896,
|
2709 |
+
"step": 351
|
2710 |
+
},
|
2711 |
+
{
|
2712 |
+
"epoch": 35.2,
|
2713 |
+
"learning_rate": 1.5578947368421056e-05,
|
2714 |
+
"loss": 0.1961,
|
2715 |
+
"step": 352
|
2716 |
+
},
|
2717 |
+
{
|
2718 |
+
"epoch": 35.3,
|
2719 |
+
"learning_rate": 1.5473684210526316e-05,
|
2720 |
+
"loss": 0.1909,
|
2721 |
+
"step": 353
|
2722 |
+
},
|
2723 |
+
{
|
2724 |
+
"epoch": 35.4,
|
2725 |
+
"learning_rate": 1.536842105263158e-05,
|
2726 |
+
"loss": 0.2388,
|
2727 |
+
"step": 354
|
2728 |
+
},
|
2729 |
+
{
|
2730 |
+
"epoch": 35.5,
|
2731 |
+
"learning_rate": 1.5263157894736842e-05,
|
2732 |
+
"loss": 0.2134,
|
2733 |
+
"step": 355
|
2734 |
+
},
|
2735 |
+
{
|
2736 |
+
"epoch": 35.6,
|
2737 |
+
"learning_rate": 1.5157894736842107e-05,
|
2738 |
+
"loss": 0.1938,
|
2739 |
+
"step": 356
|
2740 |
+
},
|
2741 |
+
{
|
2742 |
+
"epoch": 35.7,
|
2743 |
+
"learning_rate": 1.5052631578947369e-05,
|
2744 |
+
"loss": 0.1976,
|
2745 |
+
"step": 357
|
2746 |
+
},
|
2747 |
+
{
|
2748 |
+
"epoch": 35.8,
|
2749 |
+
"learning_rate": 1.4947368421052632e-05,
|
2750 |
+
"loss": 0.21,
|
2751 |
+
"step": 358
|
2752 |
+
},
|
2753 |
+
{
|
2754 |
+
"epoch": 35.9,
|
2755 |
+
"learning_rate": 1.4842105263157895e-05,
|
2756 |
+
"loss": 0.1986,
|
2757 |
+
"step": 359
|
2758 |
+
},
|
2759 |
+
{
|
2760 |
+
"epoch": 36.0,
|
2761 |
+
"learning_rate": 1.4736842105263157e-05,
|
2762 |
+
"loss": 0.2064,
|
2763 |
+
"step": 360
|
2764 |
+
},
|
2765 |
+
{
|
2766 |
+
"epoch": 36.0,
|
2767 |
+
"eval_accuracy_safe": 0.3401316880042868,
|
2768 |
+
"eval_accuracy_unlabeled": NaN,
|
2769 |
+
"eval_accuracy_unsafe": 0.9978212768833464,
|
2770 |
+
"eval_iou_safe": 0.31741129406516555,
|
2771 |
+
"eval_iou_unlabeled": NaN,
|
2772 |
+
"eval_iou_unsafe": 0.9781749054634312,
|
2773 |
+
"eval_loss": 0.1860196888446808,
|
2774 |
+
"eval_mean_accuracy": 0.6689764824438166,
|
2775 |
+
"eval_mean_iou": 0.6477930997642984,
|
2776 |
+
"eval_overall_accuracy": 0.9783941809810809,
|
2777 |
+
"eval_runtime": 9.7715,
|
2778 |
+
"eval_samples_per_second": 6.857,
|
2779 |
+
"eval_steps_per_second": 0.512,
|
2780 |
+
"step": 360
|
2781 |
+
},
|
2782 |
+
{
|
2783 |
+
"epoch": 36.1,
|
2784 |
+
"learning_rate": 1.4631578947368422e-05,
|
2785 |
+
"loss": 0.1955,
|
2786 |
+
"step": 361
|
2787 |
+
},
|
2788 |
+
{
|
2789 |
+
"epoch": 36.2,
|
2790 |
+
"learning_rate": 1.4526315789473685e-05,
|
2791 |
+
"loss": 0.2,
|
2792 |
+
"step": 362
|
2793 |
+
},
|
2794 |
+
{
|
2795 |
+
"epoch": 36.3,
|
2796 |
+
"learning_rate": 1.4421052631578948e-05,
|
2797 |
+
"loss": 0.1799,
|
2798 |
+
"step": 363
|
2799 |
+
},
|
2800 |
+
{
|
2801 |
+
"epoch": 36.4,
|
2802 |
+
"learning_rate": 1.431578947368421e-05,
|
2803 |
+
"loss": 0.2033,
|
2804 |
+
"step": 364
|
2805 |
+
},
|
2806 |
+
{
|
2807 |
+
"epoch": 36.5,
|
2808 |
+
"learning_rate": 1.4210526315789475e-05,
|
2809 |
+
"loss": 0.1931,
|
2810 |
+
"step": 365
|
2811 |
+
},
|
2812 |
+
{
|
2813 |
+
"epoch": 36.6,
|
2814 |
+
"learning_rate": 1.4105263157894738e-05,
|
2815 |
+
"loss": 0.1955,
|
2816 |
+
"step": 366
|
2817 |
+
},
|
2818 |
+
{
|
2819 |
+
"epoch": 36.7,
|
2820 |
+
"learning_rate": 1.4000000000000001e-05,
|
2821 |
+
"loss": 0.1978,
|
2822 |
+
"step": 367
|
2823 |
+
},
|
2824 |
+
{
|
2825 |
+
"epoch": 36.8,
|
2826 |
+
"learning_rate": 1.3894736842105263e-05,
|
2827 |
+
"loss": 0.1951,
|
2828 |
+
"step": 368
|
2829 |
+
},
|
2830 |
+
{
|
2831 |
+
"epoch": 36.9,
|
2832 |
+
"learning_rate": 1.3789473684210526e-05,
|
2833 |
+
"loss": 0.1876,
|
2834 |
+
"step": 369
|
2835 |
+
},
|
2836 |
+
{
|
2837 |
+
"epoch": 37.0,
|
2838 |
+
"learning_rate": 1.3684210526315791e-05,
|
2839 |
+
"loss": 0.2341,
|
2840 |
+
"step": 370
|
2841 |
+
},
|
2842 |
+
{
|
2843 |
+
"epoch": 37.0,
|
2844 |
+
"eval_accuracy_safe": 0.2703825351482839,
|
2845 |
+
"eval_accuracy_unlabeled": NaN,
|
2846 |
+
"eval_accuracy_unsafe": 0.9982565404228352,
|
2847 |
+
"eval_iou_safe": 0.2557340766682649,
|
2848 |
+
"eval_iou_unlabeled": NaN,
|
2849 |
+
"eval_iou_unsafe": 0.976569175210793,
|
2850 |
+
"eval_loss": 0.17752937972545624,
|
2851 |
+
"eval_mean_accuracy": 0.6343195377855595,
|
2852 |
+
"eval_mean_iou": 0.616151625939529,
|
2853 |
+
"eval_overall_accuracy": 0.9767563093954058,
|
2854 |
+
"eval_runtime": 9.2963,
|
2855 |
+
"eval_samples_per_second": 7.207,
|
2856 |
+
"eval_steps_per_second": 0.538,
|
2857 |
+
"step": 370
|
2858 |
+
},
|
2859 |
+
{
|
2860 |
+
"epoch": 37.1,
|
2861 |
+
"learning_rate": 1.3578947368421053e-05,
|
2862 |
+
"loss": 0.1998,
|
2863 |
+
"step": 371
|
2864 |
+
},
|
2865 |
+
{
|
2866 |
+
"epoch": 37.2,
|
2867 |
+
"learning_rate": 1.3473684210526316e-05,
|
2868 |
+
"loss": 0.1972,
|
2869 |
+
"step": 372
|
2870 |
+
},
|
2871 |
+
{
|
2872 |
+
"epoch": 37.3,
|
2873 |
+
"learning_rate": 1.336842105263158e-05,
|
2874 |
+
"loss": 0.1904,
|
2875 |
+
"step": 373
|
2876 |
+
},
|
2877 |
+
{
|
2878 |
+
"epoch": 37.4,
|
2879 |
+
"learning_rate": 1.3263157894736844e-05,
|
2880 |
+
"loss": 0.1917,
|
2881 |
+
"step": 374
|
2882 |
+
},
|
2883 |
+
{
|
2884 |
+
"epoch": 37.5,
|
2885 |
+
"learning_rate": 1.3157894736842106e-05,
|
2886 |
+
"loss": 0.1875,
|
2887 |
+
"step": 375
|
2888 |
+
},
|
2889 |
+
{
|
2890 |
+
"epoch": 37.6,
|
2891 |
+
"learning_rate": 1.305263157894737e-05,
|
2892 |
+
"loss": 0.1848,
|
2893 |
+
"step": 376
|
2894 |
+
},
|
2895 |
+
{
|
2896 |
+
"epoch": 37.7,
|
2897 |
+
"learning_rate": 1.2947368421052633e-05,
|
2898 |
+
"loss": 0.1964,
|
2899 |
+
"step": 377
|
2900 |
+
},
|
2901 |
+
{
|
2902 |
+
"epoch": 37.8,
|
2903 |
+
"learning_rate": 1.2842105263157894e-05,
|
2904 |
+
"loss": 0.1845,
|
2905 |
+
"step": 378
|
2906 |
+
},
|
2907 |
+
{
|
2908 |
+
"epoch": 37.9,
|
2909 |
+
"learning_rate": 1.2736842105263157e-05,
|
2910 |
+
"loss": 0.1866,
|
2911 |
+
"step": 379
|
2912 |
+
},
|
2913 |
+
{
|
2914 |
+
"epoch": 38.0,
|
2915 |
+
"learning_rate": 1.2631578947368422e-05,
|
2916 |
+
"loss": 0.2093,
|
2917 |
+
"step": 380
|
2918 |
+
},
|
2919 |
+
{
|
2920 |
+
"epoch": 38.0,
|
2921 |
+
"eval_accuracy_safe": 0.3552260785424883,
|
2922 |
+
"eval_accuracy_unlabeled": NaN,
|
2923 |
+
"eval_accuracy_unsafe": 0.9928191196329964,
|
2924 |
+
"eval_iou_safe": 0.28741779073267426,
|
2925 |
+
"eval_iou_unlabeled": NaN,
|
2926 |
+
"eval_iou_unsafe": 0.9737097853338179,
|
2927 |
+
"eval_loss": 0.1933618187904358,
|
2928 |
+
"eval_mean_accuracy": 0.6740225990877423,
|
2929 |
+
"eval_mean_iou": 0.6305637880332461,
|
2930 |
+
"eval_overall_accuracy": 0.9739856435291803,
|
2931 |
+
"eval_runtime": 9.4354,
|
2932 |
+
"eval_samples_per_second": 7.101,
|
2933 |
+
"eval_steps_per_second": 0.53,
|
2934 |
+
"step": 380
|
2935 |
+
},
|
2936 |
+
{
|
2937 |
+
"epoch": 38.1,
|
2938 |
+
"learning_rate": 1.2526315789473686e-05,
|
2939 |
+
"loss": 0.2115,
|
2940 |
+
"step": 381
|
2941 |
+
},
|
2942 |
+
{
|
2943 |
+
"epoch": 38.2,
|
2944 |
+
"learning_rate": 1.2421052631578949e-05,
|
2945 |
+
"loss": 0.1946,
|
2946 |
+
"step": 382
|
2947 |
+
},
|
2948 |
+
{
|
2949 |
+
"epoch": 38.3,
|
2950 |
+
"learning_rate": 1.231578947368421e-05,
|
2951 |
+
"loss": 0.1942,
|
2952 |
+
"step": 383
|
2953 |
+
},
|
2954 |
+
{
|
2955 |
+
"epoch": 38.4,
|
2956 |
+
"learning_rate": 1.2210526315789474e-05,
|
2957 |
+
"loss": 0.1908,
|
2958 |
+
"step": 384
|
2959 |
+
},
|
2960 |
+
{
|
2961 |
+
"epoch": 38.5,
|
2962 |
+
"learning_rate": 1.2105263157894737e-05,
|
2963 |
+
"loss": 0.206,
|
2964 |
+
"step": 385
|
2965 |
+
},
|
2966 |
+
{
|
2967 |
+
"epoch": 38.6,
|
2968 |
+
"learning_rate": 1.2e-05,
|
2969 |
+
"loss": 0.1776,
|
2970 |
+
"step": 386
|
2971 |
+
},
|
2972 |
+
{
|
2973 |
+
"epoch": 38.7,
|
2974 |
+
"learning_rate": 1.1894736842105264e-05,
|
2975 |
+
"loss": 0.1942,
|
2976 |
+
"step": 387
|
2977 |
+
},
|
2978 |
+
{
|
2979 |
+
"epoch": 38.8,
|
2980 |
+
"learning_rate": 1.1789473684210527e-05,
|
2981 |
+
"loss": 0.178,
|
2982 |
+
"step": 388
|
2983 |
+
},
|
2984 |
+
{
|
2985 |
+
"epoch": 38.9,
|
2986 |
+
"learning_rate": 1.168421052631579e-05,
|
2987 |
+
"loss": 0.2015,
|
2988 |
+
"step": 389
|
2989 |
+
},
|
2990 |
+
{
|
2991 |
+
"epoch": 39.0,
|
2992 |
+
"learning_rate": 1.1578947368421053e-05,
|
2993 |
+
"loss": 0.1958,
|
2994 |
+
"step": 390
|
2995 |
+
},
|
2996 |
+
{
|
2997 |
+
"epoch": 39.0,
|
2998 |
+
"eval_accuracy_safe": 0.30012027709993405,
|
2999 |
+
"eval_accuracy_unlabeled": NaN,
|
3000 |
+
"eval_accuracy_unsafe": 0.9980261481975256,
|
3001 |
+
"eval_iou_safe": 0.28184293125481946,
|
3002 |
+
"eval_iou_unlabeled": NaN,
|
3003 |
+
"eval_iou_unsafe": 0.9772090847024161,
|
3004 |
+
"eval_loss": 0.17546288669109344,
|
3005 |
+
"eval_mean_accuracy": 0.6490732126487297,
|
3006 |
+
"eval_mean_iou": 0.6295260079786178,
|
3007 |
+
"eval_overall_accuracy": 0.9774111278021513,
|
3008 |
+
"eval_runtime": 10.0143,
|
3009 |
+
"eval_samples_per_second": 6.69,
|
3010 |
+
"eval_steps_per_second": 0.499,
|
3011 |
+
"step": 390
|
3012 |
+
},
|
3013 |
+
{
|
3014 |
+
"epoch": 39.1,
|
3015 |
+
"learning_rate": 1.1473684210526315e-05,
|
3016 |
+
"loss": 0.1823,
|
3017 |
+
"step": 391
|
3018 |
+
},
|
3019 |
+
{
|
3020 |
+
"epoch": 39.2,
|
3021 |
+
"learning_rate": 1.136842105263158e-05,
|
3022 |
+
"loss": 0.2134,
|
3023 |
+
"step": 392
|
3024 |
+
},
|
3025 |
+
{
|
3026 |
+
"epoch": 39.3,
|
3027 |
+
"learning_rate": 1.1263157894736842e-05,
|
3028 |
+
"loss": 0.1747,
|
3029 |
+
"step": 393
|
3030 |
+
},
|
3031 |
+
{
|
3032 |
+
"epoch": 39.4,
|
3033 |
+
"learning_rate": 1.1157894736842106e-05,
|
3034 |
+
"loss": 0.1852,
|
3035 |
+
"step": 394
|
3036 |
+
},
|
3037 |
+
{
|
3038 |
+
"epoch": 39.5,
|
3039 |
+
"learning_rate": 1.1052631578947368e-05,
|
3040 |
+
"loss": 0.1861,
|
3041 |
+
"step": 395
|
3042 |
+
},
|
3043 |
+
{
|
3044 |
+
"epoch": 39.6,
|
3045 |
+
"learning_rate": 1.0947368421052633e-05,
|
3046 |
+
"loss": 0.1801,
|
3047 |
+
"step": 396
|
3048 |
+
},
|
3049 |
+
{
|
3050 |
+
"epoch": 39.7,
|
3051 |
+
"learning_rate": 1.0842105263157895e-05,
|
3052 |
+
"loss": 0.2033,
|
3053 |
+
"step": 397
|
3054 |
+
},
|
3055 |
+
{
|
3056 |
+
"epoch": 39.8,
|
3057 |
+
"learning_rate": 1.073684210526316e-05,
|
3058 |
+
"loss": 0.1907,
|
3059 |
+
"step": 398
|
3060 |
+
},
|
3061 |
+
{
|
3062 |
+
"epoch": 39.9,
|
3063 |
+
"learning_rate": 1.0631578947368421e-05,
|
3064 |
+
"loss": 0.1898,
|
3065 |
+
"step": 399
|
3066 |
+
},
|
3067 |
+
{
|
3068 |
+
"epoch": 40.0,
|
3069 |
+
"learning_rate": 1.0526315789473684e-05,
|
3070 |
+
"loss": 0.1886,
|
3071 |
+
"step": 400
|
3072 |
+
},
|
3073 |
+
{
|
3074 |
+
"epoch": 40.0,
|
3075 |
+
"eval_accuracy_safe": 0.3881249494026623,
|
3076 |
+
"eval_accuracy_unlabeled": NaN,
|
3077 |
+
"eval_accuracy_unsafe": 0.9968947211374042,
|
3078 |
+
"eval_iou_safe": 0.35219360153638685,
|
3079 |
+
"eval_iou_unlabeled": NaN,
|
3080 |
+
"eval_iou_unsafe": 0.9786680764654981,
|
3081 |
+
"eval_loss": 0.17675457894802094,
|
3082 |
+
"eval_mean_accuracy": 0.6925098352700332,
|
3083 |
+
"eval_mean_iou": 0.6654308390009425,
|
3084 |
+
"eval_overall_accuracy": 0.9789126381945255,
|
3085 |
+
"eval_runtime": 9.5568,
|
3086 |
+
"eval_samples_per_second": 7.011,
|
3087 |
+
"eval_steps_per_second": 0.523,
|
3088 |
+
"step": 400
|
3089 |
+
},
|
3090 |
+
{
|
3091 |
+
"epoch": 40.1,
|
3092 |
+
"learning_rate": 1.0421052631578948e-05,
|
3093 |
+
"loss": 0.1862,
|
3094 |
+
"step": 401
|
3095 |
+
},
|
3096 |
+
{
|
3097 |
+
"epoch": 40.2,
|
3098 |
+
"learning_rate": 1.0315789473684211e-05,
|
3099 |
+
"loss": 0.1751,
|
3100 |
+
"step": 402
|
3101 |
+
},
|
3102 |
+
{
|
3103 |
+
"epoch": 40.3,
|
3104 |
+
"learning_rate": 1.0210526315789474e-05,
|
3105 |
+
"loss": 0.1777,
|
3106 |
+
"step": 403
|
3107 |
+
},
|
3108 |
+
{
|
3109 |
+
"epoch": 40.4,
|
3110 |
+
"learning_rate": 1.0105263157894738e-05,
|
3111 |
+
"loss": 0.1875,
|
3112 |
+
"step": 404
|
3113 |
+
},
|
3114 |
+
{
|
3115 |
+
"epoch": 40.5,
|
3116 |
+
"learning_rate": 1e-05,
|
3117 |
+
"loss": 0.1964,
|
3118 |
+
"step": 405
|
3119 |
+
},
|
3120 |
+
{
|
3121 |
+
"epoch": 40.6,
|
3122 |
+
"learning_rate": 9.894736842105264e-06,
|
3123 |
+
"loss": 0.2019,
|
3124 |
+
"step": 406
|
3125 |
+
},
|
3126 |
+
{
|
3127 |
+
"epoch": 40.7,
|
3128 |
+
"learning_rate": 9.789473684210526e-06,
|
3129 |
+
"loss": 0.1781,
|
3130 |
+
"step": 407
|
3131 |
+
},
|
3132 |
+
{
|
3133 |
+
"epoch": 40.8,
|
3134 |
+
"learning_rate": 9.68421052631579e-06,
|
3135 |
+
"loss": 0.1974,
|
3136 |
+
"step": 408
|
3137 |
+
},
|
3138 |
+
{
|
3139 |
+
"epoch": 40.9,
|
3140 |
+
"learning_rate": 9.578947368421052e-06,
|
3141 |
+
"loss": 0.1903,
|
3142 |
+
"step": 409
|
3143 |
+
},
|
3144 |
+
{
|
3145 |
+
"epoch": 41.0,
|
3146 |
+
"learning_rate": 9.473684210526317e-06,
|
3147 |
+
"loss": 0.1734,
|
3148 |
+
"step": 410
|
3149 |
+
},
|
3150 |
+
{
|
3151 |
+
"epoch": 41.0,
|
3152 |
+
"eval_accuracy_safe": 0.3947960879102239,
|
3153 |
+
"eval_accuracy_unlabeled": NaN,
|
3154 |
+
"eval_accuracy_unsafe": 0.9972934340386531,
|
3155 |
+
"eval_iou_safe": 0.3625567543168683,
|
3156 |
+
"eval_iou_unlabeled": NaN,
|
3157 |
+
"eval_iou_unsafe": 0.9792547042493136,
|
3158 |
+
"eval_loss": 0.17450523376464844,
|
3159 |
+
"eval_mean_accuracy": 0.6960447609744385,
|
3160 |
+
"eval_mean_iou": 0.6709057292830909,
|
3161 |
+
"eval_overall_accuracy": 0.9794966284908465,
|
3162 |
+
"eval_runtime": 10.0572,
|
3163 |
+
"eval_samples_per_second": 6.662,
|
3164 |
+
"eval_steps_per_second": 0.497,
|
3165 |
+
"step": 410
|
3166 |
+
},
|
3167 |
+
{
|
3168 |
+
"epoch": 41.1,
|
3169 |
+
"learning_rate": 9.368421052631579e-06,
|
3170 |
+
"loss": 0.2101,
|
3171 |
+
"step": 411
|
3172 |
+
},
|
3173 |
+
{
|
3174 |
+
"epoch": 41.2,
|
3175 |
+
"learning_rate": 9.263157894736844e-06,
|
3176 |
+
"loss": 0.1794,
|
3177 |
+
"step": 412
|
3178 |
+
},
|
3179 |
+
{
|
3180 |
+
"epoch": 41.3,
|
3181 |
+
"learning_rate": 9.157894736842105e-06,
|
3182 |
+
"loss": 0.2051,
|
3183 |
+
"step": 413
|
3184 |
+
},
|
3185 |
+
{
|
3186 |
+
"epoch": 41.4,
|
3187 |
+
"learning_rate": 9.05263157894737e-06,
|
3188 |
+
"loss": 0.1762,
|
3189 |
+
"step": 414
|
3190 |
+
},
|
3191 |
+
{
|
3192 |
+
"epoch": 41.5,
|
3193 |
+
"learning_rate": 8.947368421052632e-06,
|
3194 |
+
"loss": 0.1851,
|
3195 |
+
"step": 415
|
3196 |
+
},
|
3197 |
+
{
|
3198 |
+
"epoch": 41.6,
|
3199 |
+
"learning_rate": 8.842105263157895e-06,
|
3200 |
+
"loss": 0.1835,
|
3201 |
+
"step": 416
|
3202 |
+
},
|
3203 |
+
{
|
3204 |
+
"epoch": 41.7,
|
3205 |
+
"learning_rate": 8.736842105263158e-06,
|
3206 |
+
"loss": 0.2018,
|
3207 |
+
"step": 417
|
3208 |
+
},
|
3209 |
+
{
|
3210 |
+
"epoch": 41.8,
|
3211 |
+
"learning_rate": 8.631578947368422e-06,
|
3212 |
+
"loss": 0.1997,
|
3213 |
+
"step": 418
|
3214 |
+
},
|
3215 |
+
{
|
3216 |
+
"epoch": 41.9,
|
3217 |
+
"learning_rate": 8.526315789473685e-06,
|
3218 |
+
"loss": 0.1848,
|
3219 |
+
"step": 419
|
3220 |
+
},
|
3221 |
+
{
|
3222 |
+
"epoch": 42.0,
|
3223 |
+
"learning_rate": 8.421052631578948e-06,
|
3224 |
+
"loss": 0.1795,
|
3225 |
+
"step": 420
|
3226 |
+
},
|
3227 |
+
{
|
3228 |
+
"epoch": 42.0,
|
3229 |
+
"eval_accuracy_safe": 0.41681412176514354,
|
3230 |
+
"eval_accuracy_unlabeled": NaN,
|
3231 |
+
"eval_accuracy_unsafe": 0.9969580247307602,
|
3232 |
+
"eval_iou_safe": 0.3789419821537469,
|
3233 |
+
"eval_iou_unlabeled": NaN,
|
3234 |
+
"eval_iou_unsafe": 0.9795699690858644,
|
3235 |
+
"eval_loss": 0.17103362083435059,
|
3236 |
+
"eval_mean_accuracy": 0.7068860732479518,
|
3237 |
+
"eval_mean_iou": 0.6792559756198057,
|
3238 |
+
"eval_overall_accuracy": 0.9798215040520056,
|
3239 |
+
"eval_runtime": 9.5328,
|
3240 |
+
"eval_samples_per_second": 7.028,
|
3241 |
+
"eval_steps_per_second": 0.525,
|
3242 |
+
"step": 420
|
3243 |
+
},
|
3244 |
+
{
|
3245 |
+
"epoch": 42.1,
|
3246 |
+
"learning_rate": 8.315789473684212e-06,
|
3247 |
+
"loss": 0.1863,
|
3248 |
+
"step": 421
|
3249 |
+
},
|
3250 |
+
{
|
3251 |
+
"epoch": 42.2,
|
3252 |
+
"learning_rate": 8.210526315789475e-06,
|
3253 |
+
"loss": 0.1977,
|
3254 |
+
"step": 422
|
3255 |
+
},
|
3256 |
+
{
|
3257 |
+
"epoch": 42.3,
|
3258 |
+
"learning_rate": 8.105263157894736e-06,
|
3259 |
+
"loss": 0.1796,
|
3260 |
+
"step": 423
|
3261 |
+
},
|
3262 |
+
{
|
3263 |
+
"epoch": 42.4,
|
3264 |
+
"learning_rate": 8.000000000000001e-06,
|
3265 |
+
"loss": 0.1833,
|
3266 |
+
"step": 424
|
3267 |
+
},
|
3268 |
+
{
|
3269 |
+
"epoch": 42.5,
|
3270 |
+
"learning_rate": 7.894736842105263e-06,
|
3271 |
+
"loss": 0.1844,
|
3272 |
+
"step": 425
|
3273 |
+
},
|
3274 |
+
{
|
3275 |
+
"epoch": 42.6,
|
3276 |
+
"learning_rate": 7.789473684210528e-06,
|
3277 |
+
"loss": 0.1899,
|
3278 |
+
"step": 426
|
3279 |
+
},
|
3280 |
+
{
|
3281 |
+
"epoch": 42.7,
|
3282 |
+
"learning_rate": 7.68421052631579e-06,
|
3283 |
+
"loss": 0.189,
|
3284 |
+
"step": 427
|
3285 |
+
},
|
3286 |
+
{
|
3287 |
+
"epoch": 42.8,
|
3288 |
+
"learning_rate": 7.578947368421054e-06,
|
3289 |
+
"loss": 0.1717,
|
3290 |
+
"step": 428
|
3291 |
+
},
|
3292 |
+
{
|
3293 |
+
"epoch": 42.9,
|
3294 |
+
"learning_rate": 7.473684210526316e-06,
|
3295 |
+
"loss": 0.1709,
|
3296 |
+
"step": 429
|
3297 |
+
},
|
3298 |
+
{
|
3299 |
+
"epoch": 43.0,
|
3300 |
+
"learning_rate": 7.3684210526315784e-06,
|
3301 |
+
"loss": 0.222,
|
3302 |
+
"step": 430
|
3303 |
+
},
|
3304 |
+
{
|
3305 |
+
"epoch": 43.0,
|
3306 |
+
"eval_accuracy_safe": 0.404142620884268,
|
3307 |
+
"eval_accuracy_unlabeled": NaN,
|
3308 |
+
"eval_accuracy_unsafe": 0.997192699775639,
|
3309 |
+
"eval_iou_safe": 0.3700154592236505,
|
3310 |
+
"eval_iou_unlabeled": NaN,
|
3311 |
+
"eval_iou_unsafe": 0.9794293850090163,
|
3312 |
+
"eval_loss": 0.17061825096607208,
|
3313 |
+
"eval_mean_accuracy": 0.7006676603299535,
|
3314 |
+
"eval_mean_iou": 0.6747224221163334,
|
3315 |
+
"eval_overall_accuracy": 0.9796749513540695,
|
3316 |
+
"eval_runtime": 9.3364,
|
3317 |
+
"eval_samples_per_second": 7.176,
|
3318 |
+
"eval_steps_per_second": 0.536,
|
3319 |
+
"step": 430
|
3320 |
+
},
|
3321 |
+
{
|
3322 |
+
"epoch": 43.1,
|
3323 |
+
"learning_rate": 7.2631578947368426e-06,
|
3324 |
+
"loss": 0.1925,
|
3325 |
+
"step": 431
|
3326 |
+
},
|
3327 |
+
{
|
3328 |
+
"epoch": 43.2,
|
3329 |
+
"learning_rate": 7.157894736842105e-06,
|
3330 |
+
"loss": 0.179,
|
3331 |
+
"step": 432
|
3332 |
+
},
|
3333 |
+
{
|
3334 |
+
"epoch": 43.3,
|
3335 |
+
"learning_rate": 7.052631578947369e-06,
|
3336 |
+
"loss": 0.1774,
|
3337 |
+
"step": 433
|
3338 |
+
},
|
3339 |
+
{
|
3340 |
+
"epoch": 43.4,
|
3341 |
+
"learning_rate": 6.9473684210526315e-06,
|
3342 |
+
"loss": 0.1743,
|
3343 |
+
"step": 434
|
3344 |
+
},
|
3345 |
+
{
|
3346 |
+
"epoch": 43.5,
|
3347 |
+
"learning_rate": 6.842105263157896e-06,
|
3348 |
+
"loss": 0.1815,
|
3349 |
+
"step": 435
|
3350 |
+
},
|
3351 |
+
{
|
3352 |
+
"epoch": 43.6,
|
3353 |
+
"learning_rate": 6.736842105263158e-06,
|
3354 |
+
"loss": 0.1784,
|
3355 |
+
"step": 436
|
3356 |
+
},
|
3357 |
+
{
|
3358 |
+
"epoch": 43.7,
|
3359 |
+
"learning_rate": 6.631578947368422e-06,
|
3360 |
+
"loss": 0.1719,
|
3361 |
+
"step": 437
|
3362 |
+
},
|
3363 |
+
{
|
3364 |
+
"epoch": 43.8,
|
3365 |
+
"learning_rate": 6.526315789473685e-06,
|
3366 |
+
"loss": 0.1847,
|
3367 |
+
"step": 438
|
3368 |
+
},
|
3369 |
+
{
|
3370 |
+
"epoch": 43.9,
|
3371 |
+
"learning_rate": 6.421052631578947e-06,
|
3372 |
+
"loss": 0.1777,
|
3373 |
+
"step": 439
|
3374 |
+
},
|
3375 |
+
{
|
3376 |
+
"epoch": 44.0,
|
3377 |
+
"learning_rate": 6.315789473684211e-06,
|
3378 |
+
"loss": 0.1831,
|
3379 |
+
"step": 440
|
3380 |
+
},
|
3381 |
+
{
|
3382 |
+
"epoch": 44.0,
|
3383 |
+
"eval_accuracy_safe": 0.4044336760459674,
|
3384 |
+
"eval_accuracy_unlabeled": NaN,
|
3385 |
+
"eval_accuracy_unsafe": 0.997242392216392,
|
3386 |
+
"eval_iou_safe": 0.3708362421682382,
|
3387 |
+
"eval_iou_unlabeled": NaN,
|
3388 |
+
"eval_iou_unsafe": 0.9794867149476597,
|
3389 |
+
"eval_loss": 0.1686682254076004,
|
3390 |
+
"eval_mean_accuracy": 0.7008380341311797,
|
3391 |
+
"eval_mean_iou": 0.675161478557949,
|
3392 |
+
"eval_overall_accuracy": 0.9797317732625933,
|
3393 |
+
"eval_runtime": 9.4019,
|
3394 |
+
"eval_samples_per_second": 7.126,
|
3395 |
+
"eval_steps_per_second": 0.532,
|
3396 |
+
"step": 440
|
3397 |
}
|
3398 |
],
|
3399 |
+
"max_steps": 500,
|
3400 |
+
"num_train_epochs": 50,
|
3401 |
+
"total_flos": 2.378560911137833e+17,
|
3402 |
"trial_name": null,
|
3403 |
"trial_params": null
|
3404 |
}
|
{checkpoint-240 β checkpoint-440}/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:ea0b86dce193f82b55c9edb341b5c56b11507c0627cafb8ca97f0abfe88bd5b9
|
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 14951629
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3beee8b6a90b79a352ed4237a7954d33002409243ccab9deabf124e2ef47a379
|
3 |
size 14951629
|
runs/Feb07_22-33-51_robolidar/events.out.tfevents.1707366836.robolidar.3751507.0
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:ce81e11304d9ce0df2de097da7b249db8643269874c23c5df3d9a00ede5f5599
|
3 |
+
size 42351
|