Training in progress, step 560
Browse files- {checkpoint-360 β checkpoint-560}/config.json +0 -0
- {checkpoint-360 β checkpoint-560}/optimizer.pt +1 -1
- {checkpoint-360 β checkpoint-560}/pytorch_model.bin +1 -1
- {checkpoint-360 β checkpoint-560}/rng_state.pth +1 -1
- {checkpoint-360 β checkpoint-560}/scheduler.pt +1 -1
- {checkpoint-360 β checkpoint-560}/trainer_state.json +1547 -7
- {checkpoint-360 β checkpoint-560}/training_args.bin +1 -1
- pytorch_model.bin +1 -1
- runs/Feb07_23-26-20_robolidar/events.out.tfevents.1707369987.robolidar.3822967.0 +2 -2
{checkpoint-360 β checkpoint-560}/config.json
RENAMED
File without changes
|
{checkpoint-360 β checkpoint-560}/optimizer.pt
RENAMED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 29876677
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8a6f530304297a00020aa1fe491968cec485192b5bf99b3f68d8cc98ef880431
|
3 |
size 29876677
|
{checkpoint-360 β checkpoint-560}/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:a91c7f7201c77c3bd93607cd566cda68bb131aaa92da50d2b73111e2bc77a208
|
3 |
size 14951629
|
{checkpoint-360 β checkpoint-560}/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 sha256:08e96798f44b6b3793a6a84ff0a4844d72a0f35b7d300a428c555eebab3ee6c3
|
3 |
size 14575
|
{checkpoint-360 β checkpoint-560}/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 sha256:24a02fa7ff4987acf3439b72081bf052235590c7479c90a582f564e82f613a9d
|
3 |
size 627
|
{checkpoint-360 β checkpoint-560}/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,
|
@@ -2778,11 +2778,1551 @@
|
|
2778 |
"eval_samples_per_second": 6.857,
|
2779 |
"eval_steps_per_second": 0.512,
|
2780 |
"step": 360
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2781 |
}
|
2782 |
],
|
2783 |
-
"max_steps":
|
2784 |
-
"num_train_epochs":
|
2785 |
-
"total_flos":
|
2786 |
"trial_name": null,
|
2787 |
"trial_params": null
|
2788 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.15234236419200897,
|
3 |
+
"best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/safety-utcustom-train-SF-RGBD-b0/checkpoint-560",
|
4 |
+
"epoch": 56.0,
|
5 |
+
"global_step": 560,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
|
|
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 |
+
"epoch": 44.1,
|
3400 |
+
"learning_rate": 6.2105263157894745e-06,
|
3401 |
+
"loss": 0.1826,
|
3402 |
+
"step": 441
|
3403 |
+
},
|
3404 |
+
{
|
3405 |
+
"epoch": 44.2,
|
3406 |
+
"learning_rate": 6.105263157894737e-06,
|
3407 |
+
"loss": 0.1878,
|
3408 |
+
"step": 442
|
3409 |
+
},
|
3410 |
+
{
|
3411 |
+
"epoch": 44.3,
|
3412 |
+
"learning_rate": 6e-06,
|
3413 |
+
"loss": 0.1669,
|
3414 |
+
"step": 443
|
3415 |
+
},
|
3416 |
+
{
|
3417 |
+
"epoch": 44.4,
|
3418 |
+
"learning_rate": 5.8947368421052634e-06,
|
3419 |
+
"loss": 0.1728,
|
3420 |
+
"step": 444
|
3421 |
+
},
|
3422 |
+
{
|
3423 |
+
"epoch": 44.5,
|
3424 |
+
"learning_rate": 5.789473684210527e-06,
|
3425 |
+
"loss": 0.2053,
|
3426 |
+
"step": 445
|
3427 |
+
},
|
3428 |
+
{
|
3429 |
+
"epoch": 44.6,
|
3430 |
+
"learning_rate": 5.68421052631579e-06,
|
3431 |
+
"loss": 0.1774,
|
3432 |
+
"step": 446
|
3433 |
+
},
|
3434 |
+
{
|
3435 |
+
"epoch": 44.7,
|
3436 |
+
"learning_rate": 5.578947368421053e-06,
|
3437 |
+
"loss": 0.1788,
|
3438 |
+
"step": 447
|
3439 |
+
},
|
3440 |
+
{
|
3441 |
+
"epoch": 44.8,
|
3442 |
+
"learning_rate": 5.4736842105263165e-06,
|
3443 |
+
"loss": 0.1749,
|
3444 |
+
"step": 448
|
3445 |
+
},
|
3446 |
+
{
|
3447 |
+
"epoch": 44.9,
|
3448 |
+
"learning_rate": 5.36842105263158e-06,
|
3449 |
+
"loss": 0.1795,
|
3450 |
+
"step": 449
|
3451 |
+
},
|
3452 |
+
{
|
3453 |
+
"epoch": 45.0,
|
3454 |
+
"learning_rate": 5.263157894736842e-06,
|
3455 |
+
"loss": 0.1935,
|
3456 |
+
"step": 450
|
3457 |
+
},
|
3458 |
+
{
|
3459 |
+
"epoch": 45.0,
|
3460 |
+
"eval_accuracy_safe": 0.4346667900277948,
|
3461 |
+
"eval_accuracy_unlabeled": NaN,
|
3462 |
+
"eval_accuracy_unsafe": 0.9964187414776291,
|
3463 |
+
"eval_iou_safe": 0.38890805113099386,
|
3464 |
+
"eval_iou_unlabeled": NaN,
|
3465 |
+
"eval_iou_unsafe": 0.9795630927466161,
|
3466 |
+
"eval_loss": 0.1710895597934723,
|
3467 |
+
"eval_mean_accuracy": 0.7155427657527119,
|
3468 |
+
"eval_mean_iou": 0.684235571938805,
|
3469 |
+
"eval_overall_accuracy": 0.9798254895566115,
|
3470 |
+
"eval_runtime": 10.0694,
|
3471 |
+
"eval_samples_per_second": 6.654,
|
3472 |
+
"eval_steps_per_second": 0.497,
|
3473 |
+
"step": 450
|
3474 |
+
},
|
3475 |
+
{
|
3476 |
+
"epoch": 45.1,
|
3477 |
+
"learning_rate": 5.1578947368421055e-06,
|
3478 |
+
"loss": 0.1838,
|
3479 |
+
"step": 451
|
3480 |
+
},
|
3481 |
+
{
|
3482 |
+
"epoch": 45.2,
|
3483 |
+
"learning_rate": 5.052631578947369e-06,
|
3484 |
+
"loss": 0.1726,
|
3485 |
+
"step": 452
|
3486 |
+
},
|
3487 |
+
{
|
3488 |
+
"epoch": 45.3,
|
3489 |
+
"learning_rate": 4.947368421052632e-06,
|
3490 |
+
"loss": 0.1731,
|
3491 |
+
"step": 453
|
3492 |
+
},
|
3493 |
+
{
|
3494 |
+
"epoch": 45.4,
|
3495 |
+
"learning_rate": 4.842105263157895e-06,
|
3496 |
+
"loss": 0.1724,
|
3497 |
+
"step": 454
|
3498 |
+
},
|
3499 |
+
{
|
3500 |
+
"epoch": 45.5,
|
3501 |
+
"learning_rate": 4.736842105263159e-06,
|
3502 |
+
"loss": 0.1789,
|
3503 |
+
"step": 455
|
3504 |
+
},
|
3505 |
+
{
|
3506 |
+
"epoch": 45.6,
|
3507 |
+
"learning_rate": 4.631578947368422e-06,
|
3508 |
+
"loss": 0.1706,
|
3509 |
+
"step": 456
|
3510 |
+
},
|
3511 |
+
{
|
3512 |
+
"epoch": 45.7,
|
3513 |
+
"learning_rate": 4.526315789473685e-06,
|
3514 |
+
"loss": 0.179,
|
3515 |
+
"step": 457
|
3516 |
+
},
|
3517 |
+
{
|
3518 |
+
"epoch": 45.8,
|
3519 |
+
"learning_rate": 4.4210526315789476e-06,
|
3520 |
+
"loss": 0.2259,
|
3521 |
+
"step": 458
|
3522 |
+
},
|
3523 |
+
{
|
3524 |
+
"epoch": 45.9,
|
3525 |
+
"learning_rate": 4.315789473684211e-06,
|
3526 |
+
"loss": 0.2031,
|
3527 |
+
"step": 459
|
3528 |
+
},
|
3529 |
+
{
|
3530 |
+
"epoch": 46.0,
|
3531 |
+
"learning_rate": 4.210526315789474e-06,
|
3532 |
+
"loss": 0.1728,
|
3533 |
+
"step": 460
|
3534 |
+
},
|
3535 |
+
{
|
3536 |
+
"epoch": 46.0,
|
3537 |
+
"eval_accuracy_safe": 0.4207558953126626,
|
3538 |
+
"eval_accuracy_unlabeled": NaN,
|
3539 |
+
"eval_accuracy_unsafe": 0.9969068069022154,
|
3540 |
+
"eval_iou_safe": 0.38194129740606275,
|
3541 |
+
"eval_iou_unlabeled": NaN,
|
3542 |
+
"eval_iou_unsafe": 0.9796351289125812,
|
3543 |
+
"eval_loss": 0.17141538858413696,
|
3544 |
+
"eval_mean_accuracy": 0.708831351107439,
|
3545 |
+
"eval_mean_iou": 0.6807882131593219,
|
3546 |
+
"eval_overall_accuracy": 0.979888232786264,
|
3547 |
+
"eval_runtime": 9.7002,
|
3548 |
+
"eval_samples_per_second": 6.907,
|
3549 |
+
"eval_steps_per_second": 0.515,
|
3550 |
+
"step": 460
|
3551 |
+
},
|
3552 |
+
{
|
3553 |
+
"epoch": 46.1,
|
3554 |
+
"learning_rate": 4.105263157894737e-06,
|
3555 |
+
"loss": 0.1766,
|
3556 |
+
"step": 461
|
3557 |
+
},
|
3558 |
+
{
|
3559 |
+
"epoch": 46.2,
|
3560 |
+
"learning_rate": 4.000000000000001e-06,
|
3561 |
+
"loss": 0.1703,
|
3562 |
+
"step": 462
|
3563 |
+
},
|
3564 |
+
{
|
3565 |
+
"epoch": 46.3,
|
3566 |
+
"learning_rate": 3.894736842105264e-06,
|
3567 |
+
"loss": 0.1648,
|
3568 |
+
"step": 463
|
3569 |
+
},
|
3570 |
+
{
|
3571 |
+
"epoch": 46.4,
|
3572 |
+
"learning_rate": 3.789473684210527e-06,
|
3573 |
+
"loss": 0.1851,
|
3574 |
+
"step": 464
|
3575 |
+
},
|
3576 |
+
{
|
3577 |
+
"epoch": 46.5,
|
3578 |
+
"learning_rate": 3.6842105263157892e-06,
|
3579 |
+
"loss": 0.178,
|
3580 |
+
"step": 465
|
3581 |
+
},
|
3582 |
+
{
|
3583 |
+
"epoch": 46.6,
|
3584 |
+
"learning_rate": 3.5789473684210525e-06,
|
3585 |
+
"loss": 0.1785,
|
3586 |
+
"step": 466
|
3587 |
+
},
|
3588 |
+
{
|
3589 |
+
"epoch": 46.7,
|
3590 |
+
"learning_rate": 3.4736842105263158e-06,
|
3591 |
+
"loss": 0.2019,
|
3592 |
+
"step": 467
|
3593 |
+
},
|
3594 |
+
{
|
3595 |
+
"epoch": 46.8,
|
3596 |
+
"learning_rate": 3.368421052631579e-06,
|
3597 |
+
"loss": 0.1876,
|
3598 |
+
"step": 468
|
3599 |
+
},
|
3600 |
+
{
|
3601 |
+
"epoch": 46.9,
|
3602 |
+
"learning_rate": 3.2631578947368423e-06,
|
3603 |
+
"loss": 0.1748,
|
3604 |
+
"step": 469
|
3605 |
+
},
|
3606 |
+
{
|
3607 |
+
"epoch": 47.0,
|
3608 |
+
"learning_rate": 3.1578947368421056e-06,
|
3609 |
+
"loss": 0.1742,
|
3610 |
+
"step": 470
|
3611 |
+
},
|
3612 |
+
{
|
3613 |
+
"epoch": 47.0,
|
3614 |
+
"eval_accuracy_safe": 0.38982501994980745,
|
3615 |
+
"eval_accuracy_unlabeled": NaN,
|
3616 |
+
"eval_accuracy_unsafe": 0.9973832559120804,
|
3617 |
+
"eval_iou_safe": 0.35896443759717717,
|
3618 |
+
"eval_iou_unlabeled": NaN,
|
3619 |
+
"eval_iou_unsafe": 0.9791974221442664,
|
3620 |
+
"eval_loss": 0.16703662276268005,
|
3621 |
+
"eval_mean_accuracy": 0.6936041379309439,
|
3622 |
+
"eval_mean_iou": 0.6690809298707218,
|
3623 |
+
"eval_overall_accuracy": 0.9794369597933186,
|
3624 |
+
"eval_runtime": 9.6852,
|
3625 |
+
"eval_samples_per_second": 6.918,
|
3626 |
+
"eval_steps_per_second": 0.516,
|
3627 |
+
"step": 470
|
3628 |
+
},
|
3629 |
+
{
|
3630 |
+
"epoch": 47.1,
|
3631 |
+
"learning_rate": 3.0526315789473684e-06,
|
3632 |
+
"loss": 0.1799,
|
3633 |
+
"step": 471
|
3634 |
+
},
|
3635 |
+
{
|
3636 |
+
"epoch": 47.2,
|
3637 |
+
"learning_rate": 2.9473684210526317e-06,
|
3638 |
+
"loss": 0.1994,
|
3639 |
+
"step": 472
|
3640 |
+
},
|
3641 |
+
{
|
3642 |
+
"epoch": 47.3,
|
3643 |
+
"learning_rate": 2.842105263157895e-06,
|
3644 |
+
"loss": 0.1865,
|
3645 |
+
"step": 473
|
3646 |
+
},
|
3647 |
+
{
|
3648 |
+
"epoch": 47.4,
|
3649 |
+
"learning_rate": 2.7368421052631583e-06,
|
3650 |
+
"loss": 0.1713,
|
3651 |
+
"step": 474
|
3652 |
+
},
|
3653 |
+
{
|
3654 |
+
"epoch": 47.5,
|
3655 |
+
"learning_rate": 2.631578947368421e-06,
|
3656 |
+
"loss": 0.1622,
|
3657 |
+
"step": 475
|
3658 |
+
},
|
3659 |
+
{
|
3660 |
+
"epoch": 47.6,
|
3661 |
+
"learning_rate": 2.5263157894736844e-06,
|
3662 |
+
"loss": 0.1643,
|
3663 |
+
"step": 476
|
3664 |
+
},
|
3665 |
+
{
|
3666 |
+
"epoch": 47.7,
|
3667 |
+
"learning_rate": 2.4210526315789477e-06,
|
3668 |
+
"loss": 0.1772,
|
3669 |
+
"step": 477
|
3670 |
+
},
|
3671 |
+
{
|
3672 |
+
"epoch": 47.8,
|
3673 |
+
"learning_rate": 2.315789473684211e-06,
|
3674 |
+
"loss": 0.1819,
|
3675 |
+
"step": 478
|
3676 |
+
},
|
3677 |
+
{
|
3678 |
+
"epoch": 47.9,
|
3679 |
+
"learning_rate": 2.2105263157894738e-06,
|
3680 |
+
"loss": 0.19,
|
3681 |
+
"step": 479
|
3682 |
+
},
|
3683 |
+
{
|
3684 |
+
"epoch": 48.0,
|
3685 |
+
"learning_rate": 2.105263157894737e-06,
|
3686 |
+
"loss": 0.2064,
|
3687 |
+
"step": 480
|
3688 |
+
},
|
3689 |
+
{
|
3690 |
+
"epoch": 48.0,
|
3691 |
+
"eval_accuracy_safe": 0.4209312994167332,
|
3692 |
+
"eval_accuracy_unlabeled": NaN,
|
3693 |
+
"eval_accuracy_unsafe": 0.9969624248878517,
|
3694 |
+
"eval_iou_safe": 0.3827353713872098,
|
3695 |
+
"eval_iou_unlabeled": NaN,
|
3696 |
+
"eval_iou_unsafe": 0.979694923134079,
|
3697 |
+
"eval_loss": 0.16833512485027313,
|
3698 |
+
"eval_mean_accuracy": 0.7089468621522924,
|
3699 |
+
"eval_mean_iou": 0.6812151472606445,
|
3700 |
+
"eval_overall_accuracy": 0.9799473890617713,
|
3701 |
+
"eval_runtime": 9.8036,
|
3702 |
+
"eval_samples_per_second": 6.834,
|
3703 |
+
"eval_steps_per_second": 0.51,
|
3704 |
+
"step": 480
|
3705 |
+
},
|
3706 |
+
{
|
3707 |
+
"epoch": 48.1,
|
3708 |
+
"learning_rate": 1.6466165413533834e-05,
|
3709 |
+
"loss": 0.1721,
|
3710 |
+
"step": 481
|
3711 |
+
},
|
3712 |
+
{
|
3713 |
+
"epoch": 48.2,
|
3714 |
+
"learning_rate": 1.6390977443609023e-05,
|
3715 |
+
"loss": 0.1789,
|
3716 |
+
"step": 482
|
3717 |
+
},
|
3718 |
+
{
|
3719 |
+
"epoch": 48.3,
|
3720 |
+
"learning_rate": 1.6315789473684213e-05,
|
3721 |
+
"loss": 0.1666,
|
3722 |
+
"step": 483
|
3723 |
+
},
|
3724 |
+
{
|
3725 |
+
"epoch": 48.4,
|
3726 |
+
"learning_rate": 1.62406015037594e-05,
|
3727 |
+
"loss": 0.1764,
|
3728 |
+
"step": 484
|
3729 |
+
},
|
3730 |
+
{
|
3731 |
+
"epoch": 48.5,
|
3732 |
+
"learning_rate": 1.6165413533834585e-05,
|
3733 |
+
"loss": 0.1802,
|
3734 |
+
"step": 485
|
3735 |
+
},
|
3736 |
+
{
|
3737 |
+
"epoch": 48.6,
|
3738 |
+
"learning_rate": 1.6090225563909775e-05,
|
3739 |
+
"loss": 0.1667,
|
3740 |
+
"step": 486
|
3741 |
+
},
|
3742 |
+
{
|
3743 |
+
"epoch": 48.7,
|
3744 |
+
"learning_rate": 1.6015037593984964e-05,
|
3745 |
+
"loss": 0.1788,
|
3746 |
+
"step": 487
|
3747 |
+
},
|
3748 |
+
{
|
3749 |
+
"epoch": 48.8,
|
3750 |
+
"learning_rate": 1.5939849624060154e-05,
|
3751 |
+
"loss": 0.2033,
|
3752 |
+
"step": 488
|
3753 |
+
},
|
3754 |
+
{
|
3755 |
+
"epoch": 48.9,
|
3756 |
+
"learning_rate": 1.586466165413534e-05,
|
3757 |
+
"loss": 0.1924,
|
3758 |
+
"step": 489
|
3759 |
+
},
|
3760 |
+
{
|
3761 |
+
"epoch": 49.0,
|
3762 |
+
"learning_rate": 1.5789473684210526e-05,
|
3763 |
+
"loss": 0.1946,
|
3764 |
+
"step": 490
|
3765 |
+
},
|
3766 |
+
{
|
3767 |
+
"epoch": 49.0,
|
3768 |
+
"eval_accuracy_safe": 0.37460341324821417,
|
3769 |
+
"eval_accuracy_unlabeled": NaN,
|
3770 |
+
"eval_accuracy_unsafe": 0.9975849591131536,
|
3771 |
+
"eval_iou_safe": 0.347065714704107,
|
3772 |
+
"eval_iou_unlabeled": NaN,
|
3773 |
+
"eval_iou_unsafe": 0.9789501628246108,
|
3774 |
+
"eval_loss": 0.1659359484910965,
|
3775 |
+
"eval_mean_accuracy": 0.6860941861806839,
|
3776 |
+
"eval_mean_iou": 0.6630079387643589,
|
3777 |
+
"eval_overall_accuracy": 0.9791830831499242,
|
3778 |
+
"eval_runtime": 16.317,
|
3779 |
+
"eval_samples_per_second": 4.106,
|
3780 |
+
"eval_steps_per_second": 0.306,
|
3781 |
+
"step": 490
|
3782 |
+
},
|
3783 |
+
{
|
3784 |
+
"epoch": 49.1,
|
3785 |
+
"learning_rate": 1.5714285714285715e-05,
|
3786 |
+
"loss": 0.2351,
|
3787 |
+
"step": 491
|
3788 |
+
},
|
3789 |
+
{
|
3790 |
+
"epoch": 49.2,
|
3791 |
+
"learning_rate": 1.5639097744360905e-05,
|
3792 |
+
"loss": 0.1724,
|
3793 |
+
"step": 492
|
3794 |
+
},
|
3795 |
+
{
|
3796 |
+
"epoch": 49.3,
|
3797 |
+
"learning_rate": 1.556390977443609e-05,
|
3798 |
+
"loss": 0.1938,
|
3799 |
+
"step": 493
|
3800 |
+
},
|
3801 |
+
{
|
3802 |
+
"epoch": 49.4,
|
3803 |
+
"learning_rate": 1.548872180451128e-05,
|
3804 |
+
"loss": 0.1825,
|
3805 |
+
"step": 494
|
3806 |
+
},
|
3807 |
+
{
|
3808 |
+
"epoch": 49.5,
|
3809 |
+
"learning_rate": 1.5413533834586467e-05,
|
3810 |
+
"loss": 0.167,
|
3811 |
+
"step": 495
|
3812 |
+
},
|
3813 |
+
{
|
3814 |
+
"epoch": 49.6,
|
3815 |
+
"learning_rate": 1.5338345864661656e-05,
|
3816 |
+
"loss": 0.1594,
|
3817 |
+
"step": 496
|
3818 |
+
},
|
3819 |
+
{
|
3820 |
+
"epoch": 49.7,
|
3821 |
+
"learning_rate": 1.5263157894736842e-05,
|
3822 |
+
"loss": 0.1752,
|
3823 |
+
"step": 497
|
3824 |
+
},
|
3825 |
+
{
|
3826 |
+
"epoch": 49.8,
|
3827 |
+
"learning_rate": 1.5187969924812032e-05,
|
3828 |
+
"loss": 0.1783,
|
3829 |
+
"step": 498
|
3830 |
+
},
|
3831 |
+
{
|
3832 |
+
"epoch": 49.9,
|
3833 |
+
"learning_rate": 1.511278195488722e-05,
|
3834 |
+
"loss": 0.1806,
|
3835 |
+
"step": 499
|
3836 |
+
},
|
3837 |
+
{
|
3838 |
+
"epoch": 50.0,
|
3839 |
+
"learning_rate": 1.5037593984962406e-05,
|
3840 |
+
"loss": 0.1836,
|
3841 |
+
"step": 500
|
3842 |
+
},
|
3843 |
+
{
|
3844 |
+
"epoch": 50.0,
|
3845 |
+
"eval_accuracy_safe": 0.44868755324767445,
|
3846 |
+
"eval_accuracy_unlabeled": NaN,
|
3847 |
+
"eval_accuracy_unsafe": 0.9964670258681129,
|
3848 |
+
"eval_iou_safe": 0.402023415385625,
|
3849 |
+
"eval_iou_unlabeled": NaN,
|
3850 |
+
"eval_iou_unsafe": 0.98002171616563,
|
3851 |
+
"eval_loss": 0.16180779039859772,
|
3852 |
+
"eval_mean_accuracy": 0.7225772895578937,
|
3853 |
+
"eval_mean_iou": 0.6910225657756275,
|
3854 |
+
"eval_overall_accuracy": 0.9802864985679512,
|
3855 |
+
"eval_runtime": 14.3683,
|
3856 |
+
"eval_samples_per_second": 4.663,
|
3857 |
+
"eval_steps_per_second": 0.348,
|
3858 |
+
"step": 500
|
3859 |
+
},
|
3860 |
+
{
|
3861 |
+
"epoch": 50.1,
|
3862 |
+
"learning_rate": 1.4962406015037595e-05,
|
3863 |
+
"loss": 0.1755,
|
3864 |
+
"step": 501
|
3865 |
+
},
|
3866 |
+
{
|
3867 |
+
"epoch": 50.2,
|
3868 |
+
"learning_rate": 1.4887218045112783e-05,
|
3869 |
+
"loss": 0.1764,
|
3870 |
+
"step": 502
|
3871 |
+
},
|
3872 |
+
{
|
3873 |
+
"epoch": 50.3,
|
3874 |
+
"learning_rate": 1.481203007518797e-05,
|
3875 |
+
"loss": 0.1642,
|
3876 |
+
"step": 503
|
3877 |
+
},
|
3878 |
+
{
|
3879 |
+
"epoch": 50.4,
|
3880 |
+
"learning_rate": 1.4736842105263157e-05,
|
3881 |
+
"loss": 0.208,
|
3882 |
+
"step": 504
|
3883 |
+
},
|
3884 |
+
{
|
3885 |
+
"epoch": 50.5,
|
3886 |
+
"learning_rate": 1.4661654135338346e-05,
|
3887 |
+
"loss": 0.1609,
|
3888 |
+
"step": 505
|
3889 |
+
},
|
3890 |
+
{
|
3891 |
+
"epoch": 50.6,
|
3892 |
+
"learning_rate": 1.4586466165413534e-05,
|
3893 |
+
"loss": 0.1684,
|
3894 |
+
"step": 506
|
3895 |
+
},
|
3896 |
+
{
|
3897 |
+
"epoch": 50.7,
|
3898 |
+
"learning_rate": 1.4511278195488722e-05,
|
3899 |
+
"loss": 0.1795,
|
3900 |
+
"step": 507
|
3901 |
+
},
|
3902 |
+
{
|
3903 |
+
"epoch": 50.8,
|
3904 |
+
"learning_rate": 1.4436090225563912e-05,
|
3905 |
+
"loss": 0.1653,
|
3906 |
+
"step": 508
|
3907 |
+
},
|
3908 |
+
{
|
3909 |
+
"epoch": 50.9,
|
3910 |
+
"learning_rate": 1.4360902255639098e-05,
|
3911 |
+
"loss": 0.1681,
|
3912 |
+
"step": 509
|
3913 |
+
},
|
3914 |
+
{
|
3915 |
+
"epoch": 51.0,
|
3916 |
+
"learning_rate": 1.4285714285714285e-05,
|
3917 |
+
"loss": 0.1786,
|
3918 |
+
"step": 510
|
3919 |
+
},
|
3920 |
+
{
|
3921 |
+
"epoch": 51.0,
|
3922 |
+
"eval_accuracy_safe": 0.4326756643189502,
|
3923 |
+
"eval_accuracy_unlabeled": NaN,
|
3924 |
+
"eval_accuracy_unsafe": 0.9966320610934238,
|
3925 |
+
"eval_iou_safe": 0.3895693916085858,
|
3926 |
+
"eval_iou_unlabeled": NaN,
|
3927 |
+
"eval_iou_unsafe": 0.9797144327801063,
|
3928 |
+
"eval_loss": 0.1594761162996292,
|
3929 |
+
"eval_mean_accuracy": 0.714653862706187,
|
3930 |
+
"eval_mean_iou": 0.684641912194346,
|
3931 |
+
"eval_overall_accuracy": 0.97997369339217,
|
3932 |
+
"eval_runtime": 14.553,
|
3933 |
+
"eval_samples_per_second": 4.604,
|
3934 |
+
"eval_steps_per_second": 0.344,
|
3935 |
+
"step": 510
|
3936 |
+
},
|
3937 |
+
{
|
3938 |
+
"epoch": 51.1,
|
3939 |
+
"learning_rate": 1.4210526315789475e-05,
|
3940 |
+
"loss": 0.1714,
|
3941 |
+
"step": 511
|
3942 |
+
},
|
3943 |
+
{
|
3944 |
+
"epoch": 51.2,
|
3945 |
+
"learning_rate": 1.4135338345864663e-05,
|
3946 |
+
"loss": 0.1736,
|
3947 |
+
"step": 512
|
3948 |
+
},
|
3949 |
+
{
|
3950 |
+
"epoch": 51.3,
|
3951 |
+
"learning_rate": 1.406015037593985e-05,
|
3952 |
+
"loss": 0.1555,
|
3953 |
+
"step": 513
|
3954 |
+
},
|
3955 |
+
{
|
3956 |
+
"epoch": 51.4,
|
3957 |
+
"learning_rate": 1.3984962406015037e-05,
|
3958 |
+
"loss": 0.1724,
|
3959 |
+
"step": 514
|
3960 |
+
},
|
3961 |
+
{
|
3962 |
+
"epoch": 51.5,
|
3963 |
+
"learning_rate": 1.3909774436090226e-05,
|
3964 |
+
"loss": 0.1612,
|
3965 |
+
"step": 515
|
3966 |
+
},
|
3967 |
+
{
|
3968 |
+
"epoch": 51.6,
|
3969 |
+
"learning_rate": 1.3834586466165414e-05,
|
3970 |
+
"loss": 0.1639,
|
3971 |
+
"step": 516
|
3972 |
+
},
|
3973 |
+
{
|
3974 |
+
"epoch": 51.7,
|
3975 |
+
"learning_rate": 1.3759398496240602e-05,
|
3976 |
+
"loss": 0.1732,
|
3977 |
+
"step": 517
|
3978 |
+
},
|
3979 |
+
{
|
3980 |
+
"epoch": 51.8,
|
3981 |
+
"learning_rate": 1.3684210526315791e-05,
|
3982 |
+
"loss": 0.1685,
|
3983 |
+
"step": 518
|
3984 |
+
},
|
3985 |
+
{
|
3986 |
+
"epoch": 51.9,
|
3987 |
+
"learning_rate": 1.3609022556390977e-05,
|
3988 |
+
"loss": 0.177,
|
3989 |
+
"step": 519
|
3990 |
+
},
|
3991 |
+
{
|
3992 |
+
"epoch": 52.0,
|
3993 |
+
"learning_rate": 1.3533834586466165e-05,
|
3994 |
+
"loss": 0.1867,
|
3995 |
+
"step": 520
|
3996 |
+
},
|
3997 |
+
{
|
3998 |
+
"epoch": 52.0,
|
3999 |
+
"eval_accuracy_safe": 0.4539978643104691,
|
4000 |
+
"eval_accuracy_unlabeled": NaN,
|
4001 |
+
"eval_accuracy_unsafe": 0.9965902302666741,
|
4002 |
+
"eval_iou_safe": 0.40826213641035775,
|
4003 |
+
"eval_iou_unlabeled": NaN,
|
4004 |
+
"eval_iou_unsafe": 0.9802987203511426,
|
4005 |
+
"eval_loss": 0.1555413454771042,
|
4006 |
+
"eval_mean_accuracy": 0.7252940472885716,
|
4007 |
+
"eval_mean_iou": 0.6942804283807502,
|
4008 |
+
"eval_overall_accuracy": 0.9805629217802588,
|
4009 |
+
"eval_runtime": 18.6158,
|
4010 |
+
"eval_samples_per_second": 3.599,
|
4011 |
+
"eval_steps_per_second": 0.269,
|
4012 |
+
"step": 520
|
4013 |
+
},
|
4014 |
+
{
|
4015 |
+
"epoch": 52.1,
|
4016 |
+
"learning_rate": 1.3458646616541353e-05,
|
4017 |
+
"loss": 0.1934,
|
4018 |
+
"step": 521
|
4019 |
+
},
|
4020 |
+
{
|
4021 |
+
"epoch": 52.2,
|
4022 |
+
"learning_rate": 1.3383458646616543e-05,
|
4023 |
+
"loss": 0.1734,
|
4024 |
+
"step": 522
|
4025 |
+
},
|
4026 |
+
{
|
4027 |
+
"epoch": 52.3,
|
4028 |
+
"learning_rate": 1.330827067669173e-05,
|
4029 |
+
"loss": 0.1766,
|
4030 |
+
"step": 523
|
4031 |
+
},
|
4032 |
+
{
|
4033 |
+
"epoch": 52.4,
|
4034 |
+
"learning_rate": 1.3233082706766916e-05,
|
4035 |
+
"loss": 0.152,
|
4036 |
+
"step": 524
|
4037 |
+
},
|
4038 |
+
{
|
4039 |
+
"epoch": 52.5,
|
4040 |
+
"learning_rate": 1.3157894736842106e-05,
|
4041 |
+
"loss": 0.1553,
|
4042 |
+
"step": 525
|
4043 |
+
},
|
4044 |
+
{
|
4045 |
+
"epoch": 52.6,
|
4046 |
+
"learning_rate": 1.3082706766917294e-05,
|
4047 |
+
"loss": 0.16,
|
4048 |
+
"step": 526
|
4049 |
+
},
|
4050 |
+
{
|
4051 |
+
"epoch": 52.7,
|
4052 |
+
"learning_rate": 1.3007518796992482e-05,
|
4053 |
+
"loss": 0.1743,
|
4054 |
+
"step": 527
|
4055 |
+
},
|
4056 |
+
{
|
4057 |
+
"epoch": 52.8,
|
4058 |
+
"learning_rate": 1.2932330827067671e-05,
|
4059 |
+
"loss": 0.1708,
|
4060 |
+
"step": 528
|
4061 |
+
},
|
4062 |
+
{
|
4063 |
+
"epoch": 52.9,
|
4064 |
+
"learning_rate": 1.2857142857142857e-05,
|
4065 |
+
"loss": 0.1588,
|
4066 |
+
"step": 529
|
4067 |
+
},
|
4068 |
+
{
|
4069 |
+
"epoch": 53.0,
|
4070 |
+
"learning_rate": 1.2781954887218045e-05,
|
4071 |
+
"loss": 0.1824,
|
4072 |
+
"step": 530
|
4073 |
+
},
|
4074 |
+
{
|
4075 |
+
"epoch": 53.0,
|
4076 |
+
"eval_accuracy_safe": 0.4386297662692125,
|
4077 |
+
"eval_accuracy_unlabeled": NaN,
|
4078 |
+
"eval_accuracy_unsafe": 0.9965735096697266,
|
4079 |
+
"eval_iou_safe": 0.3942474610451035,
|
4080 |
+
"eval_iou_unlabeled": NaN,
|
4081 |
+
"eval_iou_unsafe": 0.9798314336927032,
|
4082 |
+
"eval_loss": 0.15635764598846436,
|
4083 |
+
"eval_mean_accuracy": 0.7176016379694695,
|
4084 |
+
"eval_mean_iou": 0.6870394473689033,
|
4085 |
+
"eval_overall_accuracy": 0.9800927461083255,
|
4086 |
+
"eval_runtime": 25.5349,
|
4087 |
+
"eval_samples_per_second": 2.624,
|
4088 |
+
"eval_steps_per_second": 0.196,
|
4089 |
+
"step": 530
|
4090 |
+
},
|
4091 |
+
{
|
4092 |
+
"epoch": 53.1,
|
4093 |
+
"learning_rate": 1.2706766917293233e-05,
|
4094 |
+
"loss": 0.1698,
|
4095 |
+
"step": 531
|
4096 |
+
},
|
4097 |
+
{
|
4098 |
+
"epoch": 53.2,
|
4099 |
+
"learning_rate": 1.2631578947368422e-05,
|
4100 |
+
"loss": 0.1703,
|
4101 |
+
"step": 532
|
4102 |
+
},
|
4103 |
+
{
|
4104 |
+
"epoch": 53.3,
|
4105 |
+
"learning_rate": 1.255639097744361e-05,
|
4106 |
+
"loss": 0.1558,
|
4107 |
+
"step": 533
|
4108 |
+
},
|
4109 |
+
{
|
4110 |
+
"epoch": 53.4,
|
4111 |
+
"learning_rate": 1.2481203007518798e-05,
|
4112 |
+
"loss": 0.1752,
|
4113 |
+
"step": 534
|
4114 |
+
},
|
4115 |
+
{
|
4116 |
+
"epoch": 53.5,
|
4117 |
+
"learning_rate": 1.2406015037593984e-05,
|
4118 |
+
"loss": 0.1496,
|
4119 |
+
"step": 535
|
4120 |
+
},
|
4121 |
+
{
|
4122 |
+
"epoch": 53.6,
|
4123 |
+
"learning_rate": 1.2330827067669174e-05,
|
4124 |
+
"loss": 0.1542,
|
4125 |
+
"step": 536
|
4126 |
+
},
|
4127 |
+
{
|
4128 |
+
"epoch": 53.7,
|
4129 |
+
"learning_rate": 1.2255639097744361e-05,
|
4130 |
+
"loss": 0.1897,
|
4131 |
+
"step": 537
|
4132 |
+
},
|
4133 |
+
{
|
4134 |
+
"epoch": 53.8,
|
4135 |
+
"learning_rate": 1.218045112781955e-05,
|
4136 |
+
"loss": 0.181,
|
4137 |
+
"step": 538
|
4138 |
+
},
|
4139 |
+
{
|
4140 |
+
"epoch": 53.9,
|
4141 |
+
"learning_rate": 1.2105263157894737e-05,
|
4142 |
+
"loss": 0.1629,
|
4143 |
+
"step": 539
|
4144 |
+
},
|
4145 |
+
{
|
4146 |
+
"epoch": 54.0,
|
4147 |
+
"learning_rate": 1.2030075187969925e-05,
|
4148 |
+
"loss": 0.1494,
|
4149 |
+
"step": 540
|
4150 |
+
},
|
4151 |
+
{
|
4152 |
+
"epoch": 54.0,
|
4153 |
+
"eval_accuracy_safe": 0.4920258595764858,
|
4154 |
+
"eval_accuracy_unlabeled": NaN,
|
4155 |
+
"eval_accuracy_unsafe": 0.9956031283591532,
|
4156 |
+
"eval_iou_safe": 0.4299212121007973,
|
4157 |
+
"eval_iou_unlabeled": NaN,
|
4158 |
+
"eval_iou_unsafe": 0.9804440437651487,
|
4159 |
+
"eval_loss": 0.1539766639471054,
|
4160 |
+
"eval_mean_accuracy": 0.7438144939678195,
|
4161 |
+
"eval_mean_iou": 0.705182627932973,
|
4162 |
+
"eval_overall_accuracy": 0.9807282632856227,
|
4163 |
+
"eval_runtime": 20.2085,
|
4164 |
+
"eval_samples_per_second": 3.315,
|
4165 |
+
"eval_steps_per_second": 0.247,
|
4166 |
+
"step": 540
|
4167 |
+
},
|
4168 |
+
{
|
4169 |
+
"epoch": 54.1,
|
4170 |
+
"learning_rate": 1.1954887218045113e-05,
|
4171 |
+
"loss": 0.1891,
|
4172 |
+
"step": 541
|
4173 |
+
},
|
4174 |
+
{
|
4175 |
+
"epoch": 54.2,
|
4176 |
+
"learning_rate": 1.1879699248120302e-05,
|
4177 |
+
"loss": 0.176,
|
4178 |
+
"step": 542
|
4179 |
+
},
|
4180 |
+
{
|
4181 |
+
"epoch": 54.3,
|
4182 |
+
"learning_rate": 1.1804511278195488e-05,
|
4183 |
+
"loss": 0.1554,
|
4184 |
+
"step": 543
|
4185 |
+
},
|
4186 |
+
{
|
4187 |
+
"epoch": 54.4,
|
4188 |
+
"learning_rate": 1.1729323308270678e-05,
|
4189 |
+
"loss": 0.1469,
|
4190 |
+
"step": 544
|
4191 |
+
},
|
4192 |
+
{
|
4193 |
+
"epoch": 54.5,
|
4194 |
+
"learning_rate": 1.1654135338345864e-05,
|
4195 |
+
"loss": 0.1646,
|
4196 |
+
"step": 545
|
4197 |
+
},
|
4198 |
+
{
|
4199 |
+
"epoch": 54.6,
|
4200 |
+
"learning_rate": 1.1578947368421053e-05,
|
4201 |
+
"loss": 0.1596,
|
4202 |
+
"step": 546
|
4203 |
+
},
|
4204 |
+
{
|
4205 |
+
"epoch": 54.7,
|
4206 |
+
"learning_rate": 1.1503759398496241e-05,
|
4207 |
+
"loss": 0.175,
|
4208 |
+
"step": 547
|
4209 |
+
},
|
4210 |
+
{
|
4211 |
+
"epoch": 54.8,
|
4212 |
+
"learning_rate": 1.1428571428571429e-05,
|
4213 |
+
"loss": 0.1619,
|
4214 |
+
"step": 548
|
4215 |
+
},
|
4216 |
+
{
|
4217 |
+
"epoch": 54.9,
|
4218 |
+
"learning_rate": 1.1353383458646617e-05,
|
4219 |
+
"loss": 0.1554,
|
4220 |
+
"step": 549
|
4221 |
+
},
|
4222 |
+
{
|
4223 |
+
"epoch": 55.0,
|
4224 |
+
"learning_rate": 1.1278195488721805e-05,
|
4225 |
+
"loss": 0.1583,
|
4226 |
+
"step": 550
|
4227 |
+
},
|
4228 |
+
{
|
4229 |
+
"epoch": 55.0,
|
4230 |
+
"eval_accuracy_safe": 0.4557634704569373,
|
4231 |
+
"eval_accuracy_unlabeled": NaN,
|
4232 |
+
"eval_accuracy_unsafe": 0.9963986767612919,
|
4233 |
+
"eval_iou_safe": 0.4075434429648423,
|
4234 |
+
"eval_iou_unlabeled": NaN,
|
4235 |
+
"eval_iou_unsafe": 0.9801621116214008,
|
4236 |
+
"eval_loss": 0.1501733511686325,
|
4237 |
+
"eval_mean_accuracy": 0.7260810736091146,
|
4238 |
+
"eval_mean_iou": 0.6938527772931216,
|
4239 |
+
"eval_overall_accuracy": 0.9804291796328416,
|
4240 |
+
"eval_runtime": 18.9217,
|
4241 |
+
"eval_samples_per_second": 3.541,
|
4242 |
+
"eval_steps_per_second": 0.264,
|
4243 |
+
"step": 550
|
4244 |
+
},
|
4245 |
+
{
|
4246 |
+
"epoch": 55.1,
|
4247 |
+
"learning_rate": 1.1203007518796992e-05,
|
4248 |
+
"loss": 0.1617,
|
4249 |
+
"step": 551
|
4250 |
+
},
|
4251 |
+
{
|
4252 |
+
"epoch": 55.2,
|
4253 |
+
"learning_rate": 1.1127819548872182e-05,
|
4254 |
+
"loss": 0.1719,
|
4255 |
+
"step": 552
|
4256 |
+
},
|
4257 |
+
{
|
4258 |
+
"epoch": 55.3,
|
4259 |
+
"learning_rate": 1.1052631578947368e-05,
|
4260 |
+
"loss": 0.1641,
|
4261 |
+
"step": 553
|
4262 |
+
},
|
4263 |
+
{
|
4264 |
+
"epoch": 55.4,
|
4265 |
+
"learning_rate": 1.0977443609022558e-05,
|
4266 |
+
"loss": 0.1823,
|
4267 |
+
"step": 554
|
4268 |
+
},
|
4269 |
+
{
|
4270 |
+
"epoch": 55.5,
|
4271 |
+
"learning_rate": 1.0902255639097744e-05,
|
4272 |
+
"loss": 0.1654,
|
4273 |
+
"step": 555
|
4274 |
+
},
|
4275 |
+
{
|
4276 |
+
"epoch": 55.6,
|
4277 |
+
"learning_rate": 1.0827067669172933e-05,
|
4278 |
+
"loss": 0.1518,
|
4279 |
+
"step": 556
|
4280 |
+
},
|
4281 |
+
{
|
4282 |
+
"epoch": 55.7,
|
4283 |
+
"learning_rate": 1.0751879699248121e-05,
|
4284 |
+
"loss": 0.1463,
|
4285 |
+
"step": 557
|
4286 |
+
},
|
4287 |
+
{
|
4288 |
+
"epoch": 55.8,
|
4289 |
+
"learning_rate": 1.0676691729323309e-05,
|
4290 |
+
"loss": 0.148,
|
4291 |
+
"step": 558
|
4292 |
+
},
|
4293 |
+
{
|
4294 |
+
"epoch": 55.9,
|
4295 |
+
"learning_rate": 1.0601503759398497e-05,
|
4296 |
+
"loss": 0.1515,
|
4297 |
+
"step": 559
|
4298 |
+
},
|
4299 |
+
{
|
4300 |
+
"epoch": 56.0,
|
4301 |
+
"learning_rate": 1.0526315789473684e-05,
|
4302 |
+
"loss": 0.1648,
|
4303 |
+
"step": 560
|
4304 |
+
},
|
4305 |
+
{
|
4306 |
+
"epoch": 56.0,
|
4307 |
+
"eval_accuracy_safe": 0.47907294112204657,
|
4308 |
+
"eval_accuracy_unlabeled": NaN,
|
4309 |
+
"eval_accuracy_unsafe": 0.9957864682379647,
|
4310 |
+
"eval_iou_safe": 0.42081808808017324,
|
4311 |
+
"eval_iou_unlabeled": NaN,
|
4312 |
+
"eval_iou_unsafe": 0.9802440112401288,
|
4313 |
+
"eval_loss": 0.15234236419200897,
|
4314 |
+
"eval_mean_accuracy": 0.7374297046800056,
|
4315 |
+
"eval_mean_iou": 0.700531049660151,
|
4316 |
+
"eval_overall_accuracy": 0.9805235791562209,
|
4317 |
+
"eval_runtime": 23.4099,
|
4318 |
+
"eval_samples_per_second": 2.862,
|
4319 |
+
"eval_steps_per_second": 0.214,
|
4320 |
+
"step": 560
|
4321 |
}
|
4322 |
],
|
4323 |
+
"max_steps": 700,
|
4324 |
+
"num_train_epochs": 70,
|
4325 |
+
"total_flos": 3.027259341448151e+17,
|
4326 |
"trial_name": null,
|
4327 |
"trial_params": null
|
4328 |
}
|
{checkpoint-360 β checkpoint-560}/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 sha256:29f11ef85b5080f6e22de101b531e28832a7744fbce3081a25ea0cc4376cc09c
|
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:a91c7f7201c77c3bd93607cd566cda68bb131aaa92da50d2b73111e2bc77a208
|
3 |
size 14951629
|
runs/Feb07_23-26-20_robolidar/events.out.tfevents.1707369987.robolidar.3822967.0
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 sha256:853a537bc4fa150651a0a2b04a2f41e67a94eb1f8683ec58bac5d63638d72d26
|
3 |
+
size 23543
|