sam1120 commited on
Commit
e1c454c
β€’
1 Parent(s): 92dcfd7

Training in progress, step 1040

Browse files
{checkpoint-640 β†’ checkpoint-1040}/config.json RENAMED
File without changes
{checkpoint-640 β†’ checkpoint-1040}/optimizer.pt RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6cfda802447f24b44c421c8a76df25b0f10b7ab72bc9bba3afbcd05781e1c181
3
  size 677456319
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cb4b990a86ac60bc1438324e93bedf0c89b2a16731818b323350401df6ba50bc
3
  size 677456319
{checkpoint-640 β†’ checkpoint-1040}/pytorch_model.bin RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c3787496872cbfde2990c39f7f6eeab744053e98efbf78711c6cc706db3d6f1a
3
  size 338796489
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7c1499e4b1a6b14b99ea0a885e320e3810e76d11e1111bb242653debd320d2e3
3
  size 338796489
{checkpoint-640 β†’ checkpoint-1040}/rng_state.pth RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:03328d722beba5d9282b4bf2ddcdb5e03f93c5d5a94fa352c44b30782b16a4d8
3
  size 14575
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9df422fbdf60e8a7111362649dac55f873675799fc0b5fbb71f36458b31296c3
3
  size 14575
{checkpoint-640 β†’ checkpoint-1040}/scheduler.pt RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b75a47479fa8372431e481224e7538cb98451d5ad6dcf8c00ecabd1cd0563097
3
  size 627
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e30b953aac86275cf8bd44e0ebe26558b20c95caa4024a2be3a3c88ba5696c2e
3
  size 627
{checkpoint-640 β†’ checkpoint-1040}/trainer_state.json RENAMED
@@ -1,8 +1,8 @@
1
  {
2
- "best_metric": 0.03560740128159523,
3
- "best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/INTERNAL_BEST-safety-utcustom-train-SF-RGB-b5/checkpoint-640",
4
- "epoch": 64.0,
5
- "global_step": 640,
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
8
  "is_world_process_zero": true,
@@ -4390,11 +4390,2751 @@
4390
  "eval_samples_per_second": 6.747,
4391
  "eval_steps_per_second": 0.503,
4392
  "step": 640
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4393
  }
4394
  ],
4395
  "max_steps": 20000,
4396
  "num_train_epochs": 2000,
4397
- "total_flos": 3.9342428002996716e+18,
4398
  "trial_name": null,
4399
  "trial_params": null
4400
  }
 
1
  {
2
+ "best_metric": 0.03468828648328781,
3
+ "best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/INTERNAL_BEST-safety-utcustom-train-SF-RGB-b5/checkpoint-800",
4
+ "epoch": 104.0,
5
+ "global_step": 1040,
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
8
  "is_world_process_zero": true,
 
4390
  "eval_samples_per_second": 6.747,
4391
  "eval_steps_per_second": 0.503,
4392
  "step": 640
4393
+ },
4394
+ {
4395
+ "epoch": 64.1,
4396
+ "learning_rate": 6.41e-05,
4397
+ "loss": 0.0193,
4398
+ "step": 641
4399
+ },
4400
+ {
4401
+ "epoch": 64.2,
4402
+ "learning_rate": 6.42e-05,
4403
+ "loss": 0.0134,
4404
+ "step": 642
4405
+ },
4406
+ {
4407
+ "epoch": 64.3,
4408
+ "learning_rate": 6.43e-05,
4409
+ "loss": 0.0151,
4410
+ "step": 643
4411
+ },
4412
+ {
4413
+ "epoch": 64.4,
4414
+ "learning_rate": 6.440000000000001e-05,
4415
+ "loss": 0.0163,
4416
+ "step": 644
4417
+ },
4418
+ {
4419
+ "epoch": 64.5,
4420
+ "learning_rate": 6.450000000000001e-05,
4421
+ "loss": 0.0152,
4422
+ "step": 645
4423
+ },
4424
+ {
4425
+ "epoch": 64.6,
4426
+ "learning_rate": 6.460000000000001e-05,
4427
+ "loss": 0.0151,
4428
+ "step": 646
4429
+ },
4430
+ {
4431
+ "epoch": 64.7,
4432
+ "learning_rate": 6.47e-05,
4433
+ "loss": 0.0175,
4434
+ "step": 647
4435
+ },
4436
+ {
4437
+ "epoch": 64.8,
4438
+ "learning_rate": 6.48e-05,
4439
+ "loss": 0.0145,
4440
+ "step": 648
4441
+ },
4442
+ {
4443
+ "epoch": 64.9,
4444
+ "learning_rate": 6.49e-05,
4445
+ "loss": 0.0169,
4446
+ "step": 649
4447
+ },
4448
+ {
4449
+ "epoch": 65.0,
4450
+ "learning_rate": 6.500000000000001e-05,
4451
+ "loss": 0.0147,
4452
+ "step": 650
4453
+ },
4454
+ {
4455
+ "epoch": 65.1,
4456
+ "learning_rate": 6.510000000000001e-05,
4457
+ "loss": 0.0147,
4458
+ "step": 651
4459
+ },
4460
+ {
4461
+ "epoch": 65.2,
4462
+ "learning_rate": 6.52e-05,
4463
+ "loss": 0.0155,
4464
+ "step": 652
4465
+ },
4466
+ {
4467
+ "epoch": 65.3,
4468
+ "learning_rate": 6.53e-05,
4469
+ "loss": 0.0148,
4470
+ "step": 653
4471
+ },
4472
+ {
4473
+ "epoch": 65.4,
4474
+ "learning_rate": 6.54e-05,
4475
+ "loss": 0.0135,
4476
+ "step": 654
4477
+ },
4478
+ {
4479
+ "epoch": 65.5,
4480
+ "learning_rate": 6.55e-05,
4481
+ "loss": 0.0133,
4482
+ "step": 655
4483
+ },
4484
+ {
4485
+ "epoch": 65.6,
4486
+ "learning_rate": 6.560000000000001e-05,
4487
+ "loss": 0.0136,
4488
+ "step": 656
4489
+ },
4490
+ {
4491
+ "epoch": 65.7,
4492
+ "learning_rate": 6.570000000000001e-05,
4493
+ "loss": 0.0173,
4494
+ "step": 657
4495
+ },
4496
+ {
4497
+ "epoch": 65.8,
4498
+ "learning_rate": 6.58e-05,
4499
+ "loss": 0.0142,
4500
+ "step": 658
4501
+ },
4502
+ {
4503
+ "epoch": 65.9,
4504
+ "learning_rate": 6.59e-05,
4505
+ "loss": 0.0165,
4506
+ "step": 659
4507
+ },
4508
+ {
4509
+ "epoch": 66.0,
4510
+ "learning_rate": 6.6e-05,
4511
+ "loss": 0.0252,
4512
+ "step": 660
4513
+ },
4514
+ {
4515
+ "epoch": 66.0,
4516
+ "eval_accuracy_safe": 0.8046113931711906,
4517
+ "eval_accuracy_unlabeled": NaN,
4518
+ "eval_accuracy_unsafe": 0.9974217426194405,
4519
+ "eval_iou_safe": 0.7417778472780001,
4520
+ "eval_iou_unlabeled": NaN,
4521
+ "eval_iou_unsafe": 0.991525009544381,
4522
+ "eval_loss": 0.030962325632572174,
4523
+ "eval_mean_accuracy": 0.9010165678953155,
4524
+ "eval_mean_iou": 0.8666514284111906,
4525
+ "eval_overall_accuracy": 0.9917264340528801,
4526
+ "eval_runtime": 9.7104,
4527
+ "eval_samples_per_second": 6.9,
4528
+ "eval_steps_per_second": 0.515,
4529
+ "step": 660
4530
+ },
4531
+ {
4532
+ "epoch": 66.1,
4533
+ "learning_rate": 6.610000000000001e-05,
4534
+ "loss": 0.0154,
4535
+ "step": 661
4536
+ },
4537
+ {
4538
+ "epoch": 66.2,
4539
+ "learning_rate": 6.620000000000001e-05,
4540
+ "loss": 0.0141,
4541
+ "step": 662
4542
+ },
4543
+ {
4544
+ "epoch": 66.3,
4545
+ "learning_rate": 6.630000000000001e-05,
4546
+ "loss": 0.018,
4547
+ "step": 663
4548
+ },
4549
+ {
4550
+ "epoch": 66.4,
4551
+ "learning_rate": 6.64e-05,
4552
+ "loss": 0.0162,
4553
+ "step": 664
4554
+ },
4555
+ {
4556
+ "epoch": 66.5,
4557
+ "learning_rate": 6.65e-05,
4558
+ "loss": 0.0191,
4559
+ "step": 665
4560
+ },
4561
+ {
4562
+ "epoch": 66.6,
4563
+ "learning_rate": 6.66e-05,
4564
+ "loss": 0.0175,
4565
+ "step": 666
4566
+ },
4567
+ {
4568
+ "epoch": 66.7,
4569
+ "learning_rate": 6.670000000000001e-05,
4570
+ "loss": 0.0178,
4571
+ "step": 667
4572
+ },
4573
+ {
4574
+ "epoch": 66.8,
4575
+ "learning_rate": 6.680000000000001e-05,
4576
+ "loss": 0.0136,
4577
+ "step": 668
4578
+ },
4579
+ {
4580
+ "epoch": 66.9,
4581
+ "learning_rate": 6.690000000000001e-05,
4582
+ "loss": 0.0149,
4583
+ "step": 669
4584
+ },
4585
+ {
4586
+ "epoch": 67.0,
4587
+ "learning_rate": 6.7e-05,
4588
+ "loss": 0.0209,
4589
+ "step": 670
4590
+ },
4591
+ {
4592
+ "epoch": 67.1,
4593
+ "learning_rate": 6.71e-05,
4594
+ "loss": 0.0178,
4595
+ "step": 671
4596
+ },
4597
+ {
4598
+ "epoch": 67.2,
4599
+ "learning_rate": 6.720000000000001e-05,
4600
+ "loss": 0.017,
4601
+ "step": 672
4602
+ },
4603
+ {
4604
+ "epoch": 67.3,
4605
+ "learning_rate": 6.730000000000001e-05,
4606
+ "loss": 0.0201,
4607
+ "step": 673
4608
+ },
4609
+ {
4610
+ "epoch": 67.4,
4611
+ "learning_rate": 6.740000000000001e-05,
4612
+ "loss": 0.0164,
4613
+ "step": 674
4614
+ },
4615
+ {
4616
+ "epoch": 67.5,
4617
+ "learning_rate": 6.750000000000001e-05,
4618
+ "loss": 0.0175,
4619
+ "step": 675
4620
+ },
4621
+ {
4622
+ "epoch": 67.6,
4623
+ "learning_rate": 6.76e-05,
4624
+ "loss": 0.016,
4625
+ "step": 676
4626
+ },
4627
+ {
4628
+ "epoch": 67.7,
4629
+ "learning_rate": 6.77e-05,
4630
+ "loss": 0.0171,
4631
+ "step": 677
4632
+ },
4633
+ {
4634
+ "epoch": 67.8,
4635
+ "learning_rate": 6.780000000000001e-05,
4636
+ "loss": 0.0166,
4637
+ "step": 678
4638
+ },
4639
+ {
4640
+ "epoch": 67.9,
4641
+ "learning_rate": 6.790000000000001e-05,
4642
+ "loss": 0.02,
4643
+ "step": 679
4644
+ },
4645
+ {
4646
+ "epoch": 68.0,
4647
+ "learning_rate": 6.800000000000001e-05,
4648
+ "loss": 0.0155,
4649
+ "step": 680
4650
+ },
4651
+ {
4652
+ "epoch": 68.0,
4653
+ "eval_accuracy_safe": 0.815156842109321,
4654
+ "eval_accuracy_unlabeled": NaN,
4655
+ "eval_accuracy_unsafe": 0.9961157173259295,
4656
+ "eval_iou_safe": 0.7229034083236326,
4657
+ "eval_iou_unlabeled": NaN,
4658
+ "eval_iou_unsafe": 0.990542767020076,
4659
+ "eval_loss": 0.03587646782398224,
4660
+ "eval_mean_accuracy": 0.9056362797176253,
4661
+ "eval_mean_iou": 0.8567230876718543,
4662
+ "eval_overall_accuracy": 0.9907704823052705,
4663
+ "eval_runtime": 9.8125,
4664
+ "eval_samples_per_second": 6.828,
4665
+ "eval_steps_per_second": 0.51,
4666
+ "step": 680
4667
+ },
4668
+ {
4669
+ "epoch": 68.1,
4670
+ "learning_rate": 6.81e-05,
4671
+ "loss": 0.0142,
4672
+ "step": 681
4673
+ },
4674
+ {
4675
+ "epoch": 68.2,
4676
+ "learning_rate": 6.82e-05,
4677
+ "loss": 0.0171,
4678
+ "step": 682
4679
+ },
4680
+ {
4681
+ "epoch": 68.3,
4682
+ "learning_rate": 6.83e-05,
4683
+ "loss": 0.0248,
4684
+ "step": 683
4685
+ },
4686
+ {
4687
+ "epoch": 68.4,
4688
+ "learning_rate": 6.840000000000001e-05,
4689
+ "loss": 0.014,
4690
+ "step": 684
4691
+ },
4692
+ {
4693
+ "epoch": 68.5,
4694
+ "learning_rate": 6.850000000000001e-05,
4695
+ "loss": 0.0152,
4696
+ "step": 685
4697
+ },
4698
+ {
4699
+ "epoch": 68.6,
4700
+ "learning_rate": 6.860000000000001e-05,
4701
+ "loss": 0.0184,
4702
+ "step": 686
4703
+ },
4704
+ {
4705
+ "epoch": 68.7,
4706
+ "learning_rate": 6.87e-05,
4707
+ "loss": 0.0148,
4708
+ "step": 687
4709
+ },
4710
+ {
4711
+ "epoch": 68.8,
4712
+ "learning_rate": 6.879999999999999e-05,
4713
+ "loss": 0.0143,
4714
+ "step": 688
4715
+ },
4716
+ {
4717
+ "epoch": 68.9,
4718
+ "learning_rate": 6.89e-05,
4719
+ "loss": 0.0191,
4720
+ "step": 689
4721
+ },
4722
+ {
4723
+ "epoch": 69.0,
4724
+ "learning_rate": 6.9e-05,
4725
+ "loss": 0.014,
4726
+ "step": 690
4727
+ },
4728
+ {
4729
+ "epoch": 69.1,
4730
+ "learning_rate": 6.91e-05,
4731
+ "loss": 0.0146,
4732
+ "step": 691
4733
+ },
4734
+ {
4735
+ "epoch": 69.2,
4736
+ "learning_rate": 6.92e-05,
4737
+ "loss": 0.0141,
4738
+ "step": 692
4739
+ },
4740
+ {
4741
+ "epoch": 69.3,
4742
+ "learning_rate": 6.93e-05,
4743
+ "loss": 0.0153,
4744
+ "step": 693
4745
+ },
4746
+ {
4747
+ "epoch": 69.4,
4748
+ "learning_rate": 6.939999999999999e-05,
4749
+ "loss": 0.0192,
4750
+ "step": 694
4751
+ },
4752
+ {
4753
+ "epoch": 69.5,
4754
+ "learning_rate": 6.95e-05,
4755
+ "loss": 0.0222,
4756
+ "step": 695
4757
+ },
4758
+ {
4759
+ "epoch": 69.6,
4760
+ "learning_rate": 6.96e-05,
4761
+ "loss": 0.0168,
4762
+ "step": 696
4763
+ },
4764
+ {
4765
+ "epoch": 69.7,
4766
+ "learning_rate": 6.97e-05,
4767
+ "loss": 0.0153,
4768
+ "step": 697
4769
+ },
4770
+ {
4771
+ "epoch": 69.8,
4772
+ "learning_rate": 6.98e-05,
4773
+ "loss": 0.0147,
4774
+ "step": 698
4775
+ },
4776
+ {
4777
+ "epoch": 69.9,
4778
+ "learning_rate": 6.99e-05,
4779
+ "loss": 0.0152,
4780
+ "step": 699
4781
+ },
4782
+ {
4783
+ "epoch": 70.0,
4784
+ "learning_rate": 7e-05,
4785
+ "loss": 0.0169,
4786
+ "step": 700
4787
+ },
4788
+ {
4789
+ "epoch": 70.0,
4790
+ "eval_accuracy_safe": 0.842248102358896,
4791
+ "eval_accuracy_unlabeled": NaN,
4792
+ "eval_accuracy_unsafe": 0.9941141738681594,
4793
+ "eval_iou_safe": 0.7057702402584293,
4794
+ "eval_iou_unlabeled": NaN,
4795
+ "eval_iou_unsafe": 0.9893636761526805,
4796
+ "eval_loss": 0.049034394323825836,
4797
+ "eval_mean_accuracy": 0.9181811381135276,
4798
+ "eval_mean_iou": 0.8475669582055549,
4799
+ "eval_overall_accuracy": 0.9896282936210063,
4800
+ "eval_runtime": 9.7248,
4801
+ "eval_samples_per_second": 6.89,
4802
+ "eval_steps_per_second": 0.514,
4803
+ "step": 700
4804
+ },
4805
+ {
4806
+ "epoch": 70.1,
4807
+ "learning_rate": 7.01e-05,
4808
+ "loss": 0.023,
4809
+ "step": 701
4810
+ },
4811
+ {
4812
+ "epoch": 70.2,
4813
+ "learning_rate": 7.02e-05,
4814
+ "loss": 0.014,
4815
+ "step": 702
4816
+ },
4817
+ {
4818
+ "epoch": 70.3,
4819
+ "learning_rate": 7.03e-05,
4820
+ "loss": 0.0134,
4821
+ "step": 703
4822
+ },
4823
+ {
4824
+ "epoch": 70.4,
4825
+ "learning_rate": 7.04e-05,
4826
+ "loss": 0.0188,
4827
+ "step": 704
4828
+ },
4829
+ {
4830
+ "epoch": 70.5,
4831
+ "learning_rate": 7.05e-05,
4832
+ "loss": 0.0215,
4833
+ "step": 705
4834
+ },
4835
+ {
4836
+ "epoch": 70.6,
4837
+ "learning_rate": 7.06e-05,
4838
+ "loss": 0.0178,
4839
+ "step": 706
4840
+ },
4841
+ {
4842
+ "epoch": 70.7,
4843
+ "learning_rate": 7.07e-05,
4844
+ "loss": 0.014,
4845
+ "step": 707
4846
+ },
4847
+ {
4848
+ "epoch": 70.8,
4849
+ "learning_rate": 7.08e-05,
4850
+ "loss": 0.015,
4851
+ "step": 708
4852
+ },
4853
+ {
4854
+ "epoch": 70.9,
4855
+ "learning_rate": 7.09e-05,
4856
+ "loss": 0.016,
4857
+ "step": 709
4858
+ },
4859
+ {
4860
+ "epoch": 71.0,
4861
+ "learning_rate": 7.1e-05,
4862
+ "loss": 0.0149,
4863
+ "step": 710
4864
+ },
4865
+ {
4866
+ "epoch": 71.1,
4867
+ "learning_rate": 7.11e-05,
4868
+ "loss": 0.0155,
4869
+ "step": 711
4870
+ },
4871
+ {
4872
+ "epoch": 71.2,
4873
+ "learning_rate": 7.12e-05,
4874
+ "loss": 0.0194,
4875
+ "step": 712
4876
+ },
4877
+ {
4878
+ "epoch": 71.3,
4879
+ "learning_rate": 7.13e-05,
4880
+ "loss": 0.016,
4881
+ "step": 713
4882
+ },
4883
+ {
4884
+ "epoch": 71.4,
4885
+ "learning_rate": 7.14e-05,
4886
+ "loss": 0.0154,
4887
+ "step": 714
4888
+ },
4889
+ {
4890
+ "epoch": 71.5,
4891
+ "learning_rate": 7.15e-05,
4892
+ "loss": 0.016,
4893
+ "step": 715
4894
+ },
4895
+ {
4896
+ "epoch": 71.6,
4897
+ "learning_rate": 7.16e-05,
4898
+ "loss": 0.0125,
4899
+ "step": 716
4900
+ },
4901
+ {
4902
+ "epoch": 71.7,
4903
+ "learning_rate": 7.17e-05,
4904
+ "loss": 0.0154,
4905
+ "step": 717
4906
+ },
4907
+ {
4908
+ "epoch": 71.8,
4909
+ "learning_rate": 7.18e-05,
4910
+ "loss": 0.0205,
4911
+ "step": 718
4912
+ },
4913
+ {
4914
+ "epoch": 71.9,
4915
+ "learning_rate": 7.19e-05,
4916
+ "loss": 0.0255,
4917
+ "step": 719
4918
+ },
4919
+ {
4920
+ "epoch": 72.0,
4921
+ "learning_rate": 7.2e-05,
4922
+ "loss": 0.0142,
4923
+ "step": 720
4924
+ },
4925
+ {
4926
+ "epoch": 72.0,
4927
+ "eval_accuracy_safe": 0.7568108835355299,
4928
+ "eval_accuracy_unlabeled": NaN,
4929
+ "eval_accuracy_unsafe": 0.9974447407738386,
4930
+ "eval_iou_safe": 0.6981965160858957,
4931
+ "eval_iou_unlabeled": NaN,
4932
+ "eval_iou_unsafe": 0.9901158423210092,
4933
+ "eval_loss": 0.03573448210954666,
4934
+ "eval_mean_accuracy": 0.8771278121546843,
4935
+ "eval_mean_iou": 0.8441561792034524,
4936
+ "eval_overall_accuracy": 0.9903368024683711,
4937
+ "eval_runtime": 9.7254,
4938
+ "eval_samples_per_second": 6.889,
4939
+ "eval_steps_per_second": 0.514,
4940
+ "step": 720
4941
+ },
4942
+ {
4943
+ "epoch": 72.1,
4944
+ "learning_rate": 7.21e-05,
4945
+ "loss": 0.0148,
4946
+ "step": 721
4947
+ },
4948
+ {
4949
+ "epoch": 72.2,
4950
+ "learning_rate": 7.22e-05,
4951
+ "loss": 0.0139,
4952
+ "step": 722
4953
+ },
4954
+ {
4955
+ "epoch": 72.3,
4956
+ "learning_rate": 7.23e-05,
4957
+ "loss": 0.0145,
4958
+ "step": 723
4959
+ },
4960
+ {
4961
+ "epoch": 72.4,
4962
+ "learning_rate": 7.24e-05,
4963
+ "loss": 0.0136,
4964
+ "step": 724
4965
+ },
4966
+ {
4967
+ "epoch": 72.5,
4968
+ "learning_rate": 7.25e-05,
4969
+ "loss": 0.0342,
4970
+ "step": 725
4971
+ },
4972
+ {
4973
+ "epoch": 72.6,
4974
+ "learning_rate": 7.26e-05,
4975
+ "loss": 0.0143,
4976
+ "step": 726
4977
+ },
4978
+ {
4979
+ "epoch": 72.7,
4980
+ "learning_rate": 7.27e-05,
4981
+ "loss": 0.0145,
4982
+ "step": 727
4983
+ },
4984
+ {
4985
+ "epoch": 72.8,
4986
+ "learning_rate": 7.280000000000001e-05,
4987
+ "loss": 0.0186,
4988
+ "step": 728
4989
+ },
4990
+ {
4991
+ "epoch": 72.9,
4992
+ "learning_rate": 7.29e-05,
4993
+ "loss": 0.0174,
4994
+ "step": 729
4995
+ },
4996
+ {
4997
+ "epoch": 73.0,
4998
+ "learning_rate": 7.3e-05,
4999
+ "loss": 0.0142,
5000
+ "step": 730
5001
+ },
5002
+ {
5003
+ "epoch": 73.1,
5004
+ "learning_rate": 7.31e-05,
5005
+ "loss": 0.0189,
5006
+ "step": 731
5007
+ },
5008
+ {
5009
+ "epoch": 73.2,
5010
+ "learning_rate": 7.32e-05,
5011
+ "loss": 0.0144,
5012
+ "step": 732
5013
+ },
5014
+ {
5015
+ "epoch": 73.3,
5016
+ "learning_rate": 7.33e-05,
5017
+ "loss": 0.0129,
5018
+ "step": 733
5019
+ },
5020
+ {
5021
+ "epoch": 73.4,
5022
+ "learning_rate": 7.340000000000001e-05,
5023
+ "loss": 0.0169,
5024
+ "step": 734
5025
+ },
5026
+ {
5027
+ "epoch": 73.5,
5028
+ "learning_rate": 7.35e-05,
5029
+ "loss": 0.0112,
5030
+ "step": 735
5031
+ },
5032
+ {
5033
+ "epoch": 73.6,
5034
+ "learning_rate": 7.36e-05,
5035
+ "loss": 0.0154,
5036
+ "step": 736
5037
+ },
5038
+ {
5039
+ "epoch": 73.7,
5040
+ "learning_rate": 7.37e-05,
5041
+ "loss": 0.0141,
5042
+ "step": 737
5043
+ },
5044
+ {
5045
+ "epoch": 73.8,
5046
+ "learning_rate": 7.38e-05,
5047
+ "loss": 0.0118,
5048
+ "step": 738
5049
+ },
5050
+ {
5051
+ "epoch": 73.9,
5052
+ "learning_rate": 7.390000000000001e-05,
5053
+ "loss": 0.0139,
5054
+ "step": 739
5055
+ },
5056
+ {
5057
+ "epoch": 74.0,
5058
+ "learning_rate": 7.4e-05,
5059
+ "loss": 0.0244,
5060
+ "step": 740
5061
+ },
5062
+ {
5063
+ "epoch": 74.0,
5064
+ "eval_accuracy_safe": 0.8183468837822522,
5065
+ "eval_accuracy_unlabeled": NaN,
5066
+ "eval_accuracy_unsafe": 0.9955801302047551,
5067
+ "eval_iou_safe": 0.7145814608727266,
5068
+ "eval_iou_unlabeled": NaN,
5069
+ "eval_iou_unsafe": 0.9901057745896398,
5070
+ "eval_loss": 0.03999461978673935,
5071
+ "eval_mean_accuracy": 0.9069635069935036,
5072
+ "eval_mean_iou": 0.8523436177311832,
5073
+ "eval_overall_accuracy": 0.990344944284923,
5074
+ "eval_runtime": 9.8243,
5075
+ "eval_samples_per_second": 6.82,
5076
+ "eval_steps_per_second": 0.509,
5077
+ "step": 740
5078
+ },
5079
+ {
5080
+ "epoch": 74.1,
5081
+ "learning_rate": 7.41e-05,
5082
+ "loss": 0.0117,
5083
+ "step": 741
5084
+ },
5085
+ {
5086
+ "epoch": 74.2,
5087
+ "learning_rate": 7.42e-05,
5088
+ "loss": 0.013,
5089
+ "step": 742
5090
+ },
5091
+ {
5092
+ "epoch": 74.3,
5093
+ "learning_rate": 7.43e-05,
5094
+ "loss": 0.0196,
5095
+ "step": 743
5096
+ },
5097
+ {
5098
+ "epoch": 74.4,
5099
+ "learning_rate": 7.44e-05,
5100
+ "loss": 0.0149,
5101
+ "step": 744
5102
+ },
5103
+ {
5104
+ "epoch": 74.5,
5105
+ "learning_rate": 7.450000000000001e-05,
5106
+ "loss": 0.0112,
5107
+ "step": 745
5108
+ },
5109
+ {
5110
+ "epoch": 74.6,
5111
+ "learning_rate": 7.46e-05,
5112
+ "loss": 0.0149,
5113
+ "step": 746
5114
+ },
5115
+ {
5116
+ "epoch": 74.7,
5117
+ "learning_rate": 7.47e-05,
5118
+ "loss": 0.0132,
5119
+ "step": 747
5120
+ },
5121
+ {
5122
+ "epoch": 74.8,
5123
+ "learning_rate": 7.48e-05,
5124
+ "loss": 0.0143,
5125
+ "step": 748
5126
+ },
5127
+ {
5128
+ "epoch": 74.9,
5129
+ "learning_rate": 7.49e-05,
5130
+ "loss": 0.0193,
5131
+ "step": 749
5132
+ },
5133
+ {
5134
+ "epoch": 75.0,
5135
+ "learning_rate": 7.500000000000001e-05,
5136
+ "loss": 0.0151,
5137
+ "step": 750
5138
+ },
5139
+ {
5140
+ "epoch": 75.1,
5141
+ "learning_rate": 7.510000000000001e-05,
5142
+ "loss": 0.0157,
5143
+ "step": 751
5144
+ },
5145
+ {
5146
+ "epoch": 75.2,
5147
+ "learning_rate": 7.52e-05,
5148
+ "loss": 0.0145,
5149
+ "step": 752
5150
+ },
5151
+ {
5152
+ "epoch": 75.3,
5153
+ "learning_rate": 7.53e-05,
5154
+ "loss": 0.0126,
5155
+ "step": 753
5156
+ },
5157
+ {
5158
+ "epoch": 75.4,
5159
+ "learning_rate": 7.54e-05,
5160
+ "loss": 0.0131,
5161
+ "step": 754
5162
+ },
5163
+ {
5164
+ "epoch": 75.5,
5165
+ "learning_rate": 7.55e-05,
5166
+ "loss": 0.0133,
5167
+ "step": 755
5168
+ },
5169
+ {
5170
+ "epoch": 75.6,
5171
+ "learning_rate": 7.560000000000001e-05,
5172
+ "loss": 0.0114,
5173
+ "step": 756
5174
+ },
5175
+ {
5176
+ "epoch": 75.7,
5177
+ "learning_rate": 7.570000000000001e-05,
5178
+ "loss": 0.0192,
5179
+ "step": 757
5180
+ },
5181
+ {
5182
+ "epoch": 75.8,
5183
+ "learning_rate": 7.58e-05,
5184
+ "loss": 0.0175,
5185
+ "step": 758
5186
+ },
5187
+ {
5188
+ "epoch": 75.9,
5189
+ "learning_rate": 7.59e-05,
5190
+ "loss": 0.0102,
5191
+ "step": 759
5192
+ },
5193
+ {
5194
+ "epoch": 76.0,
5195
+ "learning_rate": 7.6e-05,
5196
+ "loss": 0.016,
5197
+ "step": 760
5198
+ },
5199
+ {
5200
+ "epoch": 76.0,
5201
+ "eval_accuracy_safe": 0.810463336687214,
5202
+ "eval_accuracy_unlabeled": NaN,
5203
+ "eval_accuracy_unsafe": 0.9969938126751042,
5204
+ "eval_iou_safe": 0.7376123162854666,
5205
+ "eval_iou_unlabeled": NaN,
5206
+ "eval_iou_unsafe": 0.9912751299671508,
5207
+ "eval_loss": 0.03021140582859516,
5208
+ "eval_mean_accuracy": 0.9037285746811592,
5209
+ "eval_mean_iou": 0.8644437231263087,
5210
+ "eval_overall_accuracy": 0.9914840015012827,
5211
+ "eval_runtime": 9.5474,
5212
+ "eval_samples_per_second": 7.018,
5213
+ "eval_steps_per_second": 0.524,
5214
+ "step": 760
5215
+ },
5216
+ {
5217
+ "epoch": 76.1,
5218
+ "learning_rate": 7.61e-05,
5219
+ "loss": 0.0124,
5220
+ "step": 761
5221
+ },
5222
+ {
5223
+ "epoch": 76.2,
5224
+ "learning_rate": 7.620000000000001e-05,
5225
+ "loss": 0.0115,
5226
+ "step": 762
5227
+ },
5228
+ {
5229
+ "epoch": 76.3,
5230
+ "learning_rate": 7.630000000000001e-05,
5231
+ "loss": 0.0122,
5232
+ "step": 763
5233
+ },
5234
+ {
5235
+ "epoch": 76.4,
5236
+ "learning_rate": 7.64e-05,
5237
+ "loss": 0.0138,
5238
+ "step": 764
5239
+ },
5240
+ {
5241
+ "epoch": 76.5,
5242
+ "learning_rate": 7.65e-05,
5243
+ "loss": 0.012,
5244
+ "step": 765
5245
+ },
5246
+ {
5247
+ "epoch": 76.6,
5248
+ "learning_rate": 7.66e-05,
5249
+ "loss": 0.0154,
5250
+ "step": 766
5251
+ },
5252
+ {
5253
+ "epoch": 76.7,
5254
+ "learning_rate": 7.670000000000001e-05,
5255
+ "loss": 0.0122,
5256
+ "step": 767
5257
+ },
5258
+ {
5259
+ "epoch": 76.8,
5260
+ "learning_rate": 7.680000000000001e-05,
5261
+ "loss": 0.0146,
5262
+ "step": 768
5263
+ },
5264
+ {
5265
+ "epoch": 76.9,
5266
+ "learning_rate": 7.69e-05,
5267
+ "loss": 0.0129,
5268
+ "step": 769
5269
+ },
5270
+ {
5271
+ "epoch": 77.0,
5272
+ "learning_rate": 7.7e-05,
5273
+ "loss": 0.013,
5274
+ "step": 770
5275
+ },
5276
+ {
5277
+ "epoch": 77.1,
5278
+ "learning_rate": 7.71e-05,
5279
+ "loss": 0.0128,
5280
+ "step": 771
5281
+ },
5282
+ {
5283
+ "epoch": 77.2,
5284
+ "learning_rate": 7.72e-05,
5285
+ "loss": 0.0121,
5286
+ "step": 772
5287
+ },
5288
+ {
5289
+ "epoch": 77.3,
5290
+ "learning_rate": 7.730000000000001e-05,
5291
+ "loss": 0.0119,
5292
+ "step": 773
5293
+ },
5294
+ {
5295
+ "epoch": 77.4,
5296
+ "learning_rate": 7.740000000000001e-05,
5297
+ "loss": 0.0121,
5298
+ "step": 774
5299
+ },
5300
+ {
5301
+ "epoch": 77.5,
5302
+ "learning_rate": 7.75e-05,
5303
+ "loss": 0.0102,
5304
+ "step": 775
5305
+ },
5306
+ {
5307
+ "epoch": 77.6,
5308
+ "learning_rate": 7.76e-05,
5309
+ "loss": 0.0128,
5310
+ "step": 776
5311
+ },
5312
+ {
5313
+ "epoch": 77.7,
5314
+ "learning_rate": 7.77e-05,
5315
+ "loss": 0.0161,
5316
+ "step": 777
5317
+ },
5318
+ {
5319
+ "epoch": 77.8,
5320
+ "learning_rate": 7.780000000000001e-05,
5321
+ "loss": 0.0151,
5322
+ "step": 778
5323
+ },
5324
+ {
5325
+ "epoch": 77.9,
5326
+ "learning_rate": 7.790000000000001e-05,
5327
+ "loss": 0.0113,
5328
+ "step": 779
5329
+ },
5330
+ {
5331
+ "epoch": 78.0,
5332
+ "learning_rate": 7.800000000000001e-05,
5333
+ "loss": 0.0137,
5334
+ "step": 780
5335
+ },
5336
+ {
5337
+ "epoch": 78.0,
5338
+ "eval_accuracy_safe": 0.8270785386332358,
5339
+ "eval_accuracy_unlabeled": NaN,
5340
+ "eval_accuracy_unsafe": 0.9964887333097642,
5341
+ "eval_iou_safe": 0.7415350530803542,
5342
+ "eval_iou_unlabeled": NaN,
5343
+ "eval_iou_unsafe": 0.9912713826642041,
5344
+ "eval_loss": 0.032535370439291,
5345
+ "eval_mean_accuracy": 0.9117836359714999,
5346
+ "eval_mean_iou": 0.8664032178722791,
5347
+ "eval_overall_accuracy": 0.9914846277948636,
5348
+ "eval_runtime": 9.7653,
5349
+ "eval_samples_per_second": 6.861,
5350
+ "eval_steps_per_second": 0.512,
5351
+ "step": 780
5352
+ },
5353
+ {
5354
+ "epoch": 78.1,
5355
+ "learning_rate": 7.81e-05,
5356
+ "loss": 0.0108,
5357
+ "step": 781
5358
+ },
5359
+ {
5360
+ "epoch": 78.2,
5361
+ "learning_rate": 7.82e-05,
5362
+ "loss": 0.0107,
5363
+ "step": 782
5364
+ },
5365
+ {
5366
+ "epoch": 78.3,
5367
+ "learning_rate": 7.83e-05,
5368
+ "loss": 0.0143,
5369
+ "step": 783
5370
+ },
5371
+ {
5372
+ "epoch": 78.4,
5373
+ "learning_rate": 7.840000000000001e-05,
5374
+ "loss": 0.0123,
5375
+ "step": 784
5376
+ },
5377
+ {
5378
+ "epoch": 78.5,
5379
+ "learning_rate": 7.850000000000001e-05,
5380
+ "loss": 0.0115,
5381
+ "step": 785
5382
+ },
5383
+ {
5384
+ "epoch": 78.6,
5385
+ "learning_rate": 7.860000000000001e-05,
5386
+ "loss": 0.0135,
5387
+ "step": 786
5388
+ },
5389
+ {
5390
+ "epoch": 78.7,
5391
+ "learning_rate": 7.87e-05,
5392
+ "loss": 0.0122,
5393
+ "step": 787
5394
+ },
5395
+ {
5396
+ "epoch": 78.8,
5397
+ "learning_rate": 7.88e-05,
5398
+ "loss": 0.0108,
5399
+ "step": 788
5400
+ },
5401
+ {
5402
+ "epoch": 78.9,
5403
+ "learning_rate": 7.890000000000001e-05,
5404
+ "loss": 0.0118,
5405
+ "step": 789
5406
+ },
5407
+ {
5408
+ "epoch": 79.0,
5409
+ "learning_rate": 7.900000000000001e-05,
5410
+ "loss": 0.0161,
5411
+ "step": 790
5412
+ },
5413
+ {
5414
+ "epoch": 79.1,
5415
+ "learning_rate": 7.910000000000001e-05,
5416
+ "loss": 0.0096,
5417
+ "step": 791
5418
+ },
5419
+ {
5420
+ "epoch": 79.2,
5421
+ "learning_rate": 7.920000000000001e-05,
5422
+ "loss": 0.0129,
5423
+ "step": 792
5424
+ },
5425
+ {
5426
+ "epoch": 79.3,
5427
+ "learning_rate": 7.93e-05,
5428
+ "loss": 0.0111,
5429
+ "step": 793
5430
+ },
5431
+ {
5432
+ "epoch": 79.4,
5433
+ "learning_rate": 7.94e-05,
5434
+ "loss": 0.0115,
5435
+ "step": 794
5436
+ },
5437
+ {
5438
+ "epoch": 79.5,
5439
+ "learning_rate": 7.950000000000001e-05,
5440
+ "loss": 0.0101,
5441
+ "step": 795
5442
+ },
5443
+ {
5444
+ "epoch": 79.6,
5445
+ "learning_rate": 7.960000000000001e-05,
5446
+ "loss": 0.0133,
5447
+ "step": 796
5448
+ },
5449
+ {
5450
+ "epoch": 79.7,
5451
+ "learning_rate": 7.970000000000001e-05,
5452
+ "loss": 0.0138,
5453
+ "step": 797
5454
+ },
5455
+ {
5456
+ "epoch": 79.8,
5457
+ "learning_rate": 7.98e-05,
5458
+ "loss": 0.0115,
5459
+ "step": 798
5460
+ },
5461
+ {
5462
+ "epoch": 79.9,
5463
+ "learning_rate": 7.99e-05,
5464
+ "loss": 0.01,
5465
+ "step": 799
5466
+ },
5467
+ {
5468
+ "epoch": 80.0,
5469
+ "learning_rate": 8e-05,
5470
+ "loss": 0.0115,
5471
+ "step": 800
5472
+ },
5473
+ {
5474
+ "epoch": 80.0,
5475
+ "eval_accuracy_safe": 0.8362014795625305,
5476
+ "eval_accuracy_unlabeled": NaN,
5477
+ "eval_accuracy_unsafe": 0.9962431458752986,
5478
+ "eval_iou_safe": 0.744329889831977,
5479
+ "eval_iou_unlabeled": NaN,
5480
+ "eval_iou_unsafe": 0.991300903541046,
5481
+ "eval_loss": 0.03468828648328781,
5482
+ "eval_mean_accuracy": 0.9162223127189146,
5483
+ "eval_mean_iou": 0.8678153966865115,
5484
+ "eval_overall_accuracy": 0.9915157716665695,
5485
+ "eval_runtime": 9.6306,
5486
+ "eval_samples_per_second": 6.957,
5487
+ "eval_steps_per_second": 0.519,
5488
+ "step": 800
5489
+ },
5490
+ {
5491
+ "epoch": 80.1,
5492
+ "learning_rate": 8.010000000000001e-05,
5493
+ "loss": 0.0116,
5494
+ "step": 801
5495
+ },
5496
+ {
5497
+ "epoch": 80.2,
5498
+ "learning_rate": 8.020000000000001e-05,
5499
+ "loss": 0.0116,
5500
+ "step": 802
5501
+ },
5502
+ {
5503
+ "epoch": 80.3,
5504
+ "learning_rate": 8.030000000000001e-05,
5505
+ "loss": 0.0123,
5506
+ "step": 803
5507
+ },
5508
+ {
5509
+ "epoch": 80.4,
5510
+ "learning_rate": 8.04e-05,
5511
+ "loss": 0.0125,
5512
+ "step": 804
5513
+ },
5514
+ {
5515
+ "epoch": 80.5,
5516
+ "learning_rate": 8.05e-05,
5517
+ "loss": 0.0104,
5518
+ "step": 805
5519
+ },
5520
+ {
5521
+ "epoch": 80.6,
5522
+ "learning_rate": 8.060000000000001e-05,
5523
+ "loss": 0.0122,
5524
+ "step": 806
5525
+ },
5526
+ {
5527
+ "epoch": 80.7,
5528
+ "learning_rate": 8.070000000000001e-05,
5529
+ "loss": 0.0113,
5530
+ "step": 807
5531
+ },
5532
+ {
5533
+ "epoch": 80.8,
5534
+ "learning_rate": 8.080000000000001e-05,
5535
+ "loss": 0.0099,
5536
+ "step": 808
5537
+ },
5538
+ {
5539
+ "epoch": 80.9,
5540
+ "learning_rate": 8.090000000000001e-05,
5541
+ "loss": 0.0112,
5542
+ "step": 809
5543
+ },
5544
+ {
5545
+ "epoch": 81.0,
5546
+ "learning_rate": 8.1e-05,
5547
+ "loss": 0.009,
5548
+ "step": 810
5549
+ },
5550
+ {
5551
+ "epoch": 81.1,
5552
+ "learning_rate": 8.11e-05,
5553
+ "loss": 0.0098,
5554
+ "step": 811
5555
+ },
5556
+ {
5557
+ "epoch": 81.2,
5558
+ "learning_rate": 8.120000000000001e-05,
5559
+ "loss": 0.0093,
5560
+ "step": 812
5561
+ },
5562
+ {
5563
+ "epoch": 81.3,
5564
+ "learning_rate": 8.13e-05,
5565
+ "loss": 0.0125,
5566
+ "step": 813
5567
+ },
5568
+ {
5569
+ "epoch": 81.4,
5570
+ "learning_rate": 8.14e-05,
5571
+ "loss": 0.0121,
5572
+ "step": 814
5573
+ },
5574
+ {
5575
+ "epoch": 81.5,
5576
+ "learning_rate": 8.15e-05,
5577
+ "loss": 0.0103,
5578
+ "step": 815
5579
+ },
5580
+ {
5581
+ "epoch": 81.6,
5582
+ "learning_rate": 8.16e-05,
5583
+ "loss": 0.0122,
5584
+ "step": 816
5585
+ },
5586
+ {
5587
+ "epoch": 81.7,
5588
+ "learning_rate": 8.17e-05,
5589
+ "loss": 0.0109,
5590
+ "step": 817
5591
+ },
5592
+ {
5593
+ "epoch": 81.8,
5594
+ "learning_rate": 8.18e-05,
5595
+ "loss": 0.0108,
5596
+ "step": 818
5597
+ },
5598
+ {
5599
+ "epoch": 81.9,
5600
+ "learning_rate": 8.19e-05,
5601
+ "loss": 0.0119,
5602
+ "step": 819
5603
+ },
5604
+ {
5605
+ "epoch": 82.0,
5606
+ "learning_rate": 8.2e-05,
5607
+ "loss": 0.0117,
5608
+ "step": 820
5609
+ },
5610
+ {
5611
+ "epoch": 82.0,
5612
+ "eval_accuracy_safe": 0.8196653058392219,
5613
+ "eval_accuracy_unlabeled": NaN,
5614
+ "eval_accuracy_unsafe": 0.9970733088465569,
5615
+ "eval_iou_safe": 0.7477645875499176,
5616
+ "eval_iou_unlabeled": NaN,
5617
+ "eval_iou_unsafe": 0.9916303175021431,
5618
+ "eval_loss": 0.032025035470724106,
5619
+ "eval_mean_accuracy": 0.9083693073428893,
5620
+ "eval_mean_iou": 0.8696974525260304,
5621
+ "eval_overall_accuracy": 0.9918329608974172,
5622
+ "eval_runtime": 9.5737,
5623
+ "eval_samples_per_second": 6.998,
5624
+ "eval_steps_per_second": 0.522,
5625
+ "step": 820
5626
+ },
5627
+ {
5628
+ "epoch": 82.1,
5629
+ "learning_rate": 8.21e-05,
5630
+ "loss": 0.0095,
5631
+ "step": 821
5632
+ },
5633
+ {
5634
+ "epoch": 82.2,
5635
+ "learning_rate": 8.22e-05,
5636
+ "loss": 0.0106,
5637
+ "step": 822
5638
+ },
5639
+ {
5640
+ "epoch": 82.3,
5641
+ "learning_rate": 8.23e-05,
5642
+ "loss": 0.0105,
5643
+ "step": 823
5644
+ },
5645
+ {
5646
+ "epoch": 82.4,
5647
+ "learning_rate": 8.24e-05,
5648
+ "loss": 0.0097,
5649
+ "step": 824
5650
+ },
5651
+ {
5652
+ "epoch": 82.5,
5653
+ "learning_rate": 8.25e-05,
5654
+ "loss": 0.0104,
5655
+ "step": 825
5656
+ },
5657
+ {
5658
+ "epoch": 82.6,
5659
+ "learning_rate": 8.26e-05,
5660
+ "loss": 0.0105,
5661
+ "step": 826
5662
+ },
5663
+ {
5664
+ "epoch": 82.7,
5665
+ "learning_rate": 8.27e-05,
5666
+ "loss": 0.0144,
5667
+ "step": 827
5668
+ },
5669
+ {
5670
+ "epoch": 82.8,
5671
+ "learning_rate": 8.28e-05,
5672
+ "loss": 0.0102,
5673
+ "step": 828
5674
+ },
5675
+ {
5676
+ "epoch": 82.9,
5677
+ "learning_rate": 8.29e-05,
5678
+ "loss": 0.0122,
5679
+ "step": 829
5680
+ },
5681
+ {
5682
+ "epoch": 83.0,
5683
+ "learning_rate": 8.3e-05,
5684
+ "loss": 0.0116,
5685
+ "step": 830
5686
+ },
5687
+ {
5688
+ "epoch": 83.1,
5689
+ "learning_rate": 8.31e-05,
5690
+ "loss": 0.01,
5691
+ "step": 831
5692
+ },
5693
+ {
5694
+ "epoch": 83.2,
5695
+ "learning_rate": 8.32e-05,
5696
+ "loss": 0.0108,
5697
+ "step": 832
5698
+ },
5699
+ {
5700
+ "epoch": 83.3,
5701
+ "learning_rate": 8.33e-05,
5702
+ "loss": 0.0115,
5703
+ "step": 833
5704
+ },
5705
+ {
5706
+ "epoch": 83.4,
5707
+ "learning_rate": 8.34e-05,
5708
+ "loss": 0.0132,
5709
+ "step": 834
5710
+ },
5711
+ {
5712
+ "epoch": 83.5,
5713
+ "learning_rate": 8.35e-05,
5714
+ "loss": 0.0135,
5715
+ "step": 835
5716
+ },
5717
+ {
5718
+ "epoch": 83.6,
5719
+ "learning_rate": 8.36e-05,
5720
+ "loss": 0.0103,
5721
+ "step": 836
5722
+ },
5723
+ {
5724
+ "epoch": 83.7,
5725
+ "learning_rate": 8.37e-05,
5726
+ "loss": 0.0122,
5727
+ "step": 837
5728
+ },
5729
+ {
5730
+ "epoch": 83.8,
5731
+ "learning_rate": 8.38e-05,
5732
+ "loss": 0.0098,
5733
+ "step": 838
5734
+ },
5735
+ {
5736
+ "epoch": 83.9,
5737
+ "learning_rate": 8.39e-05,
5738
+ "loss": 0.0109,
5739
+ "step": 839
5740
+ },
5741
+ {
5742
+ "epoch": 84.0,
5743
+ "learning_rate": 8.4e-05,
5744
+ "loss": 0.0108,
5745
+ "step": 840
5746
+ },
5747
+ {
5748
+ "epoch": 84.0,
5749
+ "eval_accuracy_safe": 0.8422924352643205,
5750
+ "eval_accuracy_unlabeled": NaN,
5751
+ "eval_accuracy_unsafe": 0.9961086770745832,
5752
+ "eval_iou_safe": 0.746814804940449,
5753
+ "eval_iou_unlabeled": NaN,
5754
+ "eval_iou_unsafe": 0.9913499796954048,
5755
+ "eval_loss": 0.03481964394450188,
5756
+ "eval_mean_accuracy": 0.9192005561694518,
5757
+ "eval_mean_iou": 0.8690823923179269,
5758
+ "eval_overall_accuracy": 0.9915651919236824,
5759
+ "eval_runtime": 9.5854,
5760
+ "eval_samples_per_second": 6.99,
5761
+ "eval_steps_per_second": 0.522,
5762
+ "step": 840
5763
+ },
5764
+ {
5765
+ "epoch": 84.1,
5766
+ "learning_rate": 8.41e-05,
5767
+ "loss": 0.0102,
5768
+ "step": 841
5769
+ },
5770
+ {
5771
+ "epoch": 84.2,
5772
+ "learning_rate": 8.42e-05,
5773
+ "loss": 0.01,
5774
+ "step": 842
5775
+ },
5776
+ {
5777
+ "epoch": 84.3,
5778
+ "learning_rate": 8.43e-05,
5779
+ "loss": 0.0117,
5780
+ "step": 843
5781
+ },
5782
+ {
5783
+ "epoch": 84.4,
5784
+ "learning_rate": 8.44e-05,
5785
+ "loss": 0.0118,
5786
+ "step": 844
5787
+ },
5788
+ {
5789
+ "epoch": 84.5,
5790
+ "learning_rate": 8.450000000000001e-05,
5791
+ "loss": 0.01,
5792
+ "step": 845
5793
+ },
5794
+ {
5795
+ "epoch": 84.6,
5796
+ "learning_rate": 8.46e-05,
5797
+ "loss": 0.0113,
5798
+ "step": 846
5799
+ },
5800
+ {
5801
+ "epoch": 84.7,
5802
+ "learning_rate": 8.47e-05,
5803
+ "loss": 0.0094,
5804
+ "step": 847
5805
+ },
5806
+ {
5807
+ "epoch": 84.8,
5808
+ "learning_rate": 8.48e-05,
5809
+ "loss": 0.0129,
5810
+ "step": 848
5811
+ },
5812
+ {
5813
+ "epoch": 84.9,
5814
+ "learning_rate": 8.49e-05,
5815
+ "loss": 0.0117,
5816
+ "step": 849
5817
+ },
5818
+ {
5819
+ "epoch": 85.0,
5820
+ "learning_rate": 8.5e-05,
5821
+ "loss": 0.0089,
5822
+ "step": 850
5823
+ },
5824
+ {
5825
+ "epoch": 85.1,
5826
+ "learning_rate": 8.510000000000001e-05,
5827
+ "loss": 0.0113,
5828
+ "step": 851
5829
+ },
5830
+ {
5831
+ "epoch": 85.2,
5832
+ "learning_rate": 8.52e-05,
5833
+ "loss": 0.0105,
5834
+ "step": 852
5835
+ },
5836
+ {
5837
+ "epoch": 85.3,
5838
+ "learning_rate": 8.53e-05,
5839
+ "loss": 0.0122,
5840
+ "step": 853
5841
+ },
5842
+ {
5843
+ "epoch": 85.4,
5844
+ "learning_rate": 8.54e-05,
5845
+ "loss": 0.0092,
5846
+ "step": 854
5847
+ },
5848
+ {
5849
+ "epoch": 85.5,
5850
+ "learning_rate": 8.55e-05,
5851
+ "loss": 0.012,
5852
+ "step": 855
5853
+ },
5854
+ {
5855
+ "epoch": 85.6,
5856
+ "learning_rate": 8.560000000000001e-05,
5857
+ "loss": 0.0134,
5858
+ "step": 856
5859
+ },
5860
+ {
5861
+ "epoch": 85.7,
5862
+ "learning_rate": 8.57e-05,
5863
+ "loss": 0.0091,
5864
+ "step": 857
5865
+ },
5866
+ {
5867
+ "epoch": 85.8,
5868
+ "learning_rate": 8.58e-05,
5869
+ "loss": 0.0096,
5870
+ "step": 858
5871
+ },
5872
+ {
5873
+ "epoch": 85.9,
5874
+ "learning_rate": 8.59e-05,
5875
+ "loss": 0.01,
5876
+ "step": 859
5877
+ },
5878
+ {
5879
+ "epoch": 86.0,
5880
+ "learning_rate": 8.6e-05,
5881
+ "loss": 0.0101,
5882
+ "step": 860
5883
+ },
5884
+ {
5885
+ "epoch": 86.0,
5886
+ "eval_accuracy_safe": 0.8191641512561633,
5887
+ "eval_accuracy_unlabeled": NaN,
5888
+ "eval_accuracy_unsafe": 0.9969775614282465,
5889
+ "eval_iou_safe": 0.7451689317732707,
5890
+ "eval_iou_unlabeled": NaN,
5891
+ "eval_iou_unsafe": 0.9915200508044267,
5892
+ "eval_loss": 0.03419874235987663,
5893
+ "eval_mean_accuracy": 0.9080708563422049,
5894
+ "eval_mean_iou": 0.8683444912888487,
5895
+ "eval_overall_accuracy": 0.9917252384014984,
5896
+ "eval_runtime": 9.713,
5897
+ "eval_samples_per_second": 6.898,
5898
+ "eval_steps_per_second": 0.515,
5899
+ "step": 860
5900
+ },
5901
+ {
5902
+ "epoch": 86.1,
5903
+ "learning_rate": 8.61e-05,
5904
+ "loss": 0.0091,
5905
+ "step": 861
5906
+ },
5907
+ {
5908
+ "epoch": 86.2,
5909
+ "learning_rate": 8.620000000000001e-05,
5910
+ "loss": 0.0108,
5911
+ "step": 862
5912
+ },
5913
+ {
5914
+ "epoch": 86.3,
5915
+ "learning_rate": 8.63e-05,
5916
+ "loss": 0.0092,
5917
+ "step": 863
5918
+ },
5919
+ {
5920
+ "epoch": 86.4,
5921
+ "learning_rate": 8.64e-05,
5922
+ "loss": 0.0117,
5923
+ "step": 864
5924
+ },
5925
+ {
5926
+ "epoch": 86.5,
5927
+ "learning_rate": 8.65e-05,
5928
+ "loss": 0.0084,
5929
+ "step": 865
5930
+ },
5931
+ {
5932
+ "epoch": 86.6,
5933
+ "learning_rate": 8.66e-05,
5934
+ "loss": 0.0109,
5935
+ "step": 866
5936
+ },
5937
+ {
5938
+ "epoch": 86.7,
5939
+ "learning_rate": 8.67e-05,
5940
+ "loss": 0.011,
5941
+ "step": 867
5942
+ },
5943
+ {
5944
+ "epoch": 86.8,
5945
+ "learning_rate": 8.680000000000001e-05,
5946
+ "loss": 0.0106,
5947
+ "step": 868
5948
+ },
5949
+ {
5950
+ "epoch": 86.9,
5951
+ "learning_rate": 8.69e-05,
5952
+ "loss": 0.0109,
5953
+ "step": 869
5954
+ },
5955
+ {
5956
+ "epoch": 87.0,
5957
+ "learning_rate": 8.7e-05,
5958
+ "loss": 0.0091,
5959
+ "step": 870
5960
+ },
5961
+ {
5962
+ "epoch": 87.1,
5963
+ "learning_rate": 8.71e-05,
5964
+ "loss": 0.009,
5965
+ "step": 871
5966
+ },
5967
+ {
5968
+ "epoch": 87.2,
5969
+ "learning_rate": 8.72e-05,
5970
+ "loss": 0.0098,
5971
+ "step": 872
5972
+ },
5973
+ {
5974
+ "epoch": 87.3,
5975
+ "learning_rate": 8.730000000000001e-05,
5976
+ "loss": 0.0098,
5977
+ "step": 873
5978
+ },
5979
+ {
5980
+ "epoch": 87.4,
5981
+ "learning_rate": 8.740000000000001e-05,
5982
+ "loss": 0.0095,
5983
+ "step": 874
5984
+ },
5985
+ {
5986
+ "epoch": 87.5,
5987
+ "learning_rate": 8.75e-05,
5988
+ "loss": 0.0143,
5989
+ "step": 875
5990
+ },
5991
+ {
5992
+ "epoch": 87.6,
5993
+ "learning_rate": 8.76e-05,
5994
+ "loss": 0.0113,
5995
+ "step": 876
5996
+ },
5997
+ {
5998
+ "epoch": 87.7,
5999
+ "learning_rate": 8.77e-05,
6000
+ "loss": 0.0112,
6001
+ "step": 877
6002
+ },
6003
+ {
6004
+ "epoch": 87.8,
6005
+ "learning_rate": 8.78e-05,
6006
+ "loss": 0.0092,
6007
+ "step": 878
6008
+ },
6009
+ {
6010
+ "epoch": 87.9,
6011
+ "learning_rate": 8.790000000000001e-05,
6012
+ "loss": 0.0087,
6013
+ "step": 879
6014
+ },
6015
+ {
6016
+ "epoch": 88.0,
6017
+ "learning_rate": 8.800000000000001e-05,
6018
+ "loss": 0.0085,
6019
+ "step": 880
6020
+ },
6021
+ {
6022
+ "epoch": 88.0,
6023
+ "eval_accuracy_safe": 0.8473849368352474,
6024
+ "eval_accuracy_unlabeled": NaN,
6025
+ "eval_accuracy_unsafe": 0.9954396185216341,
6026
+ "eval_iou_safe": 0.7369667730033376,
6027
+ "eval_iou_unlabeled": NaN,
6028
+ "eval_iou_unsafe": 0.9908369662899892,
6029
+ "eval_loss": 0.04408281296491623,
6030
+ "eval_mean_accuracy": 0.9214122776784408,
6031
+ "eval_mean_iou": 0.8639018696466634,
6032
+ "eval_overall_accuracy": 0.9910663206185868,
6033
+ "eval_runtime": 9.6602,
6034
+ "eval_samples_per_second": 6.936,
6035
+ "eval_steps_per_second": 0.518,
6036
+ "step": 880
6037
+ },
6038
+ {
6039
+ "epoch": 88.1,
6040
+ "learning_rate": 8.81e-05,
6041
+ "loss": 0.009,
6042
+ "step": 881
6043
+ },
6044
+ {
6045
+ "epoch": 88.2,
6046
+ "learning_rate": 8.82e-05,
6047
+ "loss": 0.0119,
6048
+ "step": 882
6049
+ },
6050
+ {
6051
+ "epoch": 88.3,
6052
+ "learning_rate": 8.83e-05,
6053
+ "loss": 0.0112,
6054
+ "step": 883
6055
+ },
6056
+ {
6057
+ "epoch": 88.4,
6058
+ "learning_rate": 8.840000000000001e-05,
6059
+ "loss": 0.0092,
6060
+ "step": 884
6061
+ },
6062
+ {
6063
+ "epoch": 88.5,
6064
+ "learning_rate": 8.850000000000001e-05,
6065
+ "loss": 0.009,
6066
+ "step": 885
6067
+ },
6068
+ {
6069
+ "epoch": 88.6,
6070
+ "learning_rate": 8.86e-05,
6071
+ "loss": 0.0093,
6072
+ "step": 886
6073
+ },
6074
+ {
6075
+ "epoch": 88.7,
6076
+ "learning_rate": 8.87e-05,
6077
+ "loss": 0.0097,
6078
+ "step": 887
6079
+ },
6080
+ {
6081
+ "epoch": 88.8,
6082
+ "learning_rate": 8.88e-05,
6083
+ "loss": 0.0131,
6084
+ "step": 888
6085
+ },
6086
+ {
6087
+ "epoch": 88.9,
6088
+ "learning_rate": 8.89e-05,
6089
+ "loss": 0.0094,
6090
+ "step": 889
6091
+ },
6092
+ {
6093
+ "epoch": 89.0,
6094
+ "learning_rate": 8.900000000000001e-05,
6095
+ "loss": 0.0089,
6096
+ "step": 890
6097
+ },
6098
+ {
6099
+ "epoch": 89.1,
6100
+ "learning_rate": 8.910000000000001e-05,
6101
+ "loss": 0.0103,
6102
+ "step": 891
6103
+ },
6104
+ {
6105
+ "epoch": 89.2,
6106
+ "learning_rate": 8.92e-05,
6107
+ "loss": 0.0091,
6108
+ "step": 892
6109
+ },
6110
+ {
6111
+ "epoch": 89.3,
6112
+ "learning_rate": 8.93e-05,
6113
+ "loss": 0.0099,
6114
+ "step": 893
6115
+ },
6116
+ {
6117
+ "epoch": 89.4,
6118
+ "learning_rate": 8.94e-05,
6119
+ "loss": 0.0087,
6120
+ "step": 894
6121
+ },
6122
+ {
6123
+ "epoch": 89.5,
6124
+ "learning_rate": 8.950000000000001e-05,
6125
+ "loss": 0.0093,
6126
+ "step": 895
6127
+ },
6128
+ {
6129
+ "epoch": 89.6,
6130
+ "learning_rate": 8.960000000000001e-05,
6131
+ "loss": 0.0083,
6132
+ "step": 896
6133
+ },
6134
+ {
6135
+ "epoch": 89.7,
6136
+ "learning_rate": 8.970000000000001e-05,
6137
+ "loss": 0.0099,
6138
+ "step": 897
6139
+ },
6140
+ {
6141
+ "epoch": 89.8,
6142
+ "learning_rate": 8.98e-05,
6143
+ "loss": 0.0102,
6144
+ "step": 898
6145
+ },
6146
+ {
6147
+ "epoch": 89.9,
6148
+ "learning_rate": 8.99e-05,
6149
+ "loss": 0.0109,
6150
+ "step": 899
6151
+ },
6152
+ {
6153
+ "epoch": 90.0,
6154
+ "learning_rate": 9e-05,
6155
+ "loss": 0.009,
6156
+ "step": 900
6157
+ },
6158
+ {
6159
+ "epoch": 90.0,
6160
+ "eval_accuracy_safe": 0.8208565117327998,
6161
+ "eval_accuracy_unlabeled": NaN,
6162
+ "eval_accuracy_unsafe": 0.9963495123393898,
6163
+ "eval_iou_safe": 0.7329507903287988,
6164
+ "eval_iou_unlabeled": NaN,
6165
+ "eval_iou_unsafe": 0.9909462050698964,
6166
+ "eval_loss": 0.04276752471923828,
6167
+ "eval_mean_accuracy": 0.9086030120360948,
6168
+ "eval_mean_iou": 0.8619484976993477,
6169
+ "eval_overall_accuracy": 0.9911657304906133,
6170
+ "eval_runtime": 9.7841,
6171
+ "eval_samples_per_second": 6.848,
6172
+ "eval_steps_per_second": 0.511,
6173
+ "step": 900
6174
+ },
6175
+ {
6176
+ "epoch": 90.1,
6177
+ "learning_rate": 9.010000000000001e-05,
6178
+ "loss": 0.009,
6179
+ "step": 901
6180
+ },
6181
+ {
6182
+ "epoch": 90.2,
6183
+ "learning_rate": 9.020000000000001e-05,
6184
+ "loss": 0.009,
6185
+ "step": 902
6186
+ },
6187
+ {
6188
+ "epoch": 90.3,
6189
+ "learning_rate": 9.030000000000001e-05,
6190
+ "loss": 0.0097,
6191
+ "step": 903
6192
+ },
6193
+ {
6194
+ "epoch": 90.4,
6195
+ "learning_rate": 9.04e-05,
6196
+ "loss": 0.0112,
6197
+ "step": 904
6198
+ },
6199
+ {
6200
+ "epoch": 90.5,
6201
+ "learning_rate": 9.05e-05,
6202
+ "loss": 0.009,
6203
+ "step": 905
6204
+ },
6205
+ {
6206
+ "epoch": 90.6,
6207
+ "learning_rate": 9.06e-05,
6208
+ "loss": 0.0084,
6209
+ "step": 906
6210
+ },
6211
+ {
6212
+ "epoch": 90.7,
6213
+ "learning_rate": 9.070000000000001e-05,
6214
+ "loss": 0.0098,
6215
+ "step": 907
6216
+ },
6217
+ {
6218
+ "epoch": 90.8,
6219
+ "learning_rate": 9.080000000000001e-05,
6220
+ "loss": 0.0095,
6221
+ "step": 908
6222
+ },
6223
+ {
6224
+ "epoch": 90.9,
6225
+ "learning_rate": 9.090000000000001e-05,
6226
+ "loss": 0.0095,
6227
+ "step": 909
6228
+ },
6229
+ {
6230
+ "epoch": 91.0,
6231
+ "learning_rate": 9.1e-05,
6232
+ "loss": 0.01,
6233
+ "step": 910
6234
+ },
6235
+ {
6236
+ "epoch": 91.1,
6237
+ "learning_rate": 9.11e-05,
6238
+ "loss": 0.0104,
6239
+ "step": 911
6240
+ },
6241
+ {
6242
+ "epoch": 91.2,
6243
+ "learning_rate": 9.120000000000001e-05,
6244
+ "loss": 0.01,
6245
+ "step": 912
6246
+ },
6247
+ {
6248
+ "epoch": 91.3,
6249
+ "learning_rate": 9.130000000000001e-05,
6250
+ "loss": 0.0079,
6251
+ "step": 913
6252
+ },
6253
+ {
6254
+ "epoch": 91.4,
6255
+ "learning_rate": 9.140000000000001e-05,
6256
+ "loss": 0.011,
6257
+ "step": 914
6258
+ },
6259
+ {
6260
+ "epoch": 91.5,
6261
+ "learning_rate": 9.15e-05,
6262
+ "loss": 0.0095,
6263
+ "step": 915
6264
+ },
6265
+ {
6266
+ "epoch": 91.6,
6267
+ "learning_rate": 9.16e-05,
6268
+ "loss": 0.0118,
6269
+ "step": 916
6270
+ },
6271
+ {
6272
+ "epoch": 91.7,
6273
+ "learning_rate": 9.17e-05,
6274
+ "loss": 0.01,
6275
+ "step": 917
6276
+ },
6277
+ {
6278
+ "epoch": 91.8,
6279
+ "learning_rate": 9.180000000000001e-05,
6280
+ "loss": 0.0083,
6281
+ "step": 918
6282
+ },
6283
+ {
6284
+ "epoch": 91.9,
6285
+ "learning_rate": 9.190000000000001e-05,
6286
+ "loss": 0.009,
6287
+ "step": 919
6288
+ },
6289
+ {
6290
+ "epoch": 92.0,
6291
+ "learning_rate": 9.200000000000001e-05,
6292
+ "loss": 0.009,
6293
+ "step": 920
6294
+ },
6295
+ {
6296
+ "epoch": 92.0,
6297
+ "eval_accuracy_safe": 0.821469462338233,
6298
+ "eval_accuracy_unlabeled": NaN,
6299
+ "eval_accuracy_unsafe": 0.9963327917424423,
6300
+ "eval_iou_safe": 0.7331384857279003,
6301
+ "eval_iou_unlabeled": NaN,
6302
+ "eval_iou_unsafe": 0.9909479626745328,
6303
+ "eval_loss": 0.044428784400224686,
6304
+ "eval_mean_accuracy": 0.9089011270403377,
6305
+ "eval_mean_iou": 0.8620432242012166,
6306
+ "eval_overall_accuracy": 0.9911676093713561,
6307
+ "eval_runtime": 9.7009,
6308
+ "eval_samples_per_second": 6.907,
6309
+ "eval_steps_per_second": 0.515,
6310
+ "step": 920
6311
+ },
6312
+ {
6313
+ "epoch": 92.1,
6314
+ "learning_rate": 9.21e-05,
6315
+ "loss": 0.0081,
6316
+ "step": 921
6317
+ },
6318
+ {
6319
+ "epoch": 92.2,
6320
+ "learning_rate": 9.22e-05,
6321
+ "loss": 0.0088,
6322
+ "step": 922
6323
+ },
6324
+ {
6325
+ "epoch": 92.3,
6326
+ "learning_rate": 9.230000000000001e-05,
6327
+ "loss": 0.0091,
6328
+ "step": 923
6329
+ },
6330
+ {
6331
+ "epoch": 92.4,
6332
+ "learning_rate": 9.240000000000001e-05,
6333
+ "loss": 0.0104,
6334
+ "step": 924
6335
+ },
6336
+ {
6337
+ "epoch": 92.5,
6338
+ "learning_rate": 9.250000000000001e-05,
6339
+ "loss": 0.0096,
6340
+ "step": 925
6341
+ },
6342
+ {
6343
+ "epoch": 92.6,
6344
+ "learning_rate": 9.260000000000001e-05,
6345
+ "loss": 0.0095,
6346
+ "step": 926
6347
+ },
6348
+ {
6349
+ "epoch": 92.7,
6350
+ "learning_rate": 9.27e-05,
6351
+ "loss": 0.0088,
6352
+ "step": 927
6353
+ },
6354
+ {
6355
+ "epoch": 92.8,
6356
+ "learning_rate": 9.28e-05,
6357
+ "loss": 0.0127,
6358
+ "step": 928
6359
+ },
6360
+ {
6361
+ "epoch": 92.9,
6362
+ "learning_rate": 9.290000000000001e-05,
6363
+ "loss": 0.0105,
6364
+ "step": 929
6365
+ },
6366
+ {
6367
+ "epoch": 93.0,
6368
+ "learning_rate": 9.300000000000001e-05,
6369
+ "loss": 0.0103,
6370
+ "step": 930
6371
+ },
6372
+ {
6373
+ "epoch": 93.1,
6374
+ "learning_rate": 9.310000000000001e-05,
6375
+ "loss": 0.0093,
6376
+ "step": 931
6377
+ },
6378
+ {
6379
+ "epoch": 93.2,
6380
+ "learning_rate": 9.320000000000002e-05,
6381
+ "loss": 0.0096,
6382
+ "step": 932
6383
+ },
6384
+ {
6385
+ "epoch": 93.3,
6386
+ "learning_rate": 9.33e-05,
6387
+ "loss": 0.0098,
6388
+ "step": 933
6389
+ },
6390
+ {
6391
+ "epoch": 93.4,
6392
+ "learning_rate": 9.340000000000001e-05,
6393
+ "loss": 0.0074,
6394
+ "step": 934
6395
+ },
6396
+ {
6397
+ "epoch": 93.5,
6398
+ "learning_rate": 9.350000000000001e-05,
6399
+ "loss": 0.0105,
6400
+ "step": 935
6401
+ },
6402
+ {
6403
+ "epoch": 93.6,
6404
+ "learning_rate": 9.360000000000001e-05,
6405
+ "loss": 0.0122,
6406
+ "step": 936
6407
+ },
6408
+ {
6409
+ "epoch": 93.7,
6410
+ "learning_rate": 9.370000000000001e-05,
6411
+ "loss": 0.0096,
6412
+ "step": 937
6413
+ },
6414
+ {
6415
+ "epoch": 93.8,
6416
+ "learning_rate": 9.38e-05,
6417
+ "loss": 0.0105,
6418
+ "step": 938
6419
+ },
6420
+ {
6421
+ "epoch": 93.9,
6422
+ "learning_rate": 9.39e-05,
6423
+ "loss": 0.0096,
6424
+ "step": 939
6425
+ },
6426
+ {
6427
+ "epoch": 94.0,
6428
+ "learning_rate": 9.4e-05,
6429
+ "loss": 0.0089,
6430
+ "step": 940
6431
+ },
6432
+ {
6433
+ "epoch": 94.0,
6434
+ "eval_accuracy_safe": 0.8334335642499451,
6435
+ "eval_accuracy_unlabeled": NaN,
6436
+ "eval_accuracy_unsafe": 0.9960640301472949,
6437
+ "eval_iou_safe": 0.7380003072249057,
6438
+ "eval_iou_unlabeled": NaN,
6439
+ "eval_iou_unsafe": 0.9910395971434911,
6440
+ "eval_loss": 0.04098622128367424,
6441
+ "eval_mean_accuracy": 0.91474879719862,
6442
+ "eval_mean_iou": 0.8645199521841984,
6443
+ "eval_overall_accuracy": 0.9912601869497726,
6444
+ "eval_runtime": 9.7789,
6445
+ "eval_samples_per_second": 6.852,
6446
+ "eval_steps_per_second": 0.511,
6447
+ "step": 940
6448
+ },
6449
+ {
6450
+ "epoch": 94.1,
6451
+ "learning_rate": 9.41e-05,
6452
+ "loss": 0.0085,
6453
+ "step": 941
6454
+ },
6455
+ {
6456
+ "epoch": 94.2,
6457
+ "learning_rate": 9.42e-05,
6458
+ "loss": 0.0097,
6459
+ "step": 942
6460
+ },
6461
+ {
6462
+ "epoch": 94.3,
6463
+ "learning_rate": 9.43e-05,
6464
+ "loss": 0.0105,
6465
+ "step": 943
6466
+ },
6467
+ {
6468
+ "epoch": 94.4,
6469
+ "learning_rate": 9.44e-05,
6470
+ "loss": 0.0097,
6471
+ "step": 944
6472
+ },
6473
+ {
6474
+ "epoch": 94.5,
6475
+ "learning_rate": 9.449999999999999e-05,
6476
+ "loss": 0.0083,
6477
+ "step": 945
6478
+ },
6479
+ {
6480
+ "epoch": 94.6,
6481
+ "learning_rate": 9.46e-05,
6482
+ "loss": 0.0081,
6483
+ "step": 946
6484
+ },
6485
+ {
6486
+ "epoch": 94.7,
6487
+ "learning_rate": 9.47e-05,
6488
+ "loss": 0.0101,
6489
+ "step": 947
6490
+ },
6491
+ {
6492
+ "epoch": 94.8,
6493
+ "learning_rate": 9.48e-05,
6494
+ "loss": 0.0088,
6495
+ "step": 948
6496
+ },
6497
+ {
6498
+ "epoch": 94.9,
6499
+ "learning_rate": 9.49e-05,
6500
+ "loss": 0.0086,
6501
+ "step": 949
6502
+ },
6503
+ {
6504
+ "epoch": 95.0,
6505
+ "learning_rate": 9.5e-05,
6506
+ "loss": 0.0102,
6507
+ "step": 950
6508
+ },
6509
+ {
6510
+ "epoch": 95.1,
6511
+ "learning_rate": 9.51e-05,
6512
+ "loss": 0.0075,
6513
+ "step": 951
6514
+ },
6515
+ {
6516
+ "epoch": 95.2,
6517
+ "learning_rate": 9.52e-05,
6518
+ "loss": 0.01,
6519
+ "step": 952
6520
+ },
6521
+ {
6522
+ "epoch": 95.3,
6523
+ "learning_rate": 9.53e-05,
6524
+ "loss": 0.012,
6525
+ "step": 953
6526
+ },
6527
+ {
6528
+ "epoch": 95.4,
6529
+ "learning_rate": 9.54e-05,
6530
+ "loss": 0.0088,
6531
+ "step": 954
6532
+ },
6533
+ {
6534
+ "epoch": 95.5,
6535
+ "learning_rate": 9.55e-05,
6536
+ "loss": 0.0094,
6537
+ "step": 955
6538
+ },
6539
+ {
6540
+ "epoch": 95.6,
6541
+ "learning_rate": 9.56e-05,
6542
+ "loss": 0.0089,
6543
+ "step": 956
6544
+ },
6545
+ {
6546
+ "epoch": 95.7,
6547
+ "learning_rate": 9.57e-05,
6548
+ "loss": 0.0091,
6549
+ "step": 957
6550
+ },
6551
+ {
6552
+ "epoch": 95.8,
6553
+ "learning_rate": 9.58e-05,
6554
+ "loss": 0.0089,
6555
+ "step": 958
6556
+ },
6557
+ {
6558
+ "epoch": 95.9,
6559
+ "learning_rate": 9.59e-05,
6560
+ "loss": 0.0099,
6561
+ "step": 959
6562
+ },
6563
+ {
6564
+ "epoch": 96.0,
6565
+ "learning_rate": 9.6e-05,
6566
+ "loss": 0.0091,
6567
+ "step": 960
6568
+ },
6569
+ {
6570
+ "epoch": 96.0,
6571
+ "eval_accuracy_safe": 0.8349370279991211,
6572
+ "eval_accuracy_unlabeled": NaN,
6573
+ "eval_accuracy_unsafe": 0.9961565507837383,
6574
+ "eval_iou_safe": 0.74132699426506,
6575
+ "eval_iou_unlabeled": NaN,
6576
+ "eval_iou_unsafe": 0.9911767801499561,
6577
+ "eval_loss": 0.04181906208395958,
6578
+ "eval_mean_accuracy": 0.9155467893914297,
6579
+ "eval_mean_iou": 0.866251887207508,
6580
+ "eval_overall_accuracy": 0.9913943845834305,
6581
+ "eval_runtime": 9.8088,
6582
+ "eval_samples_per_second": 6.831,
6583
+ "eval_steps_per_second": 0.51,
6584
+ "step": 960
6585
+ },
6586
+ {
6587
+ "epoch": 96.1,
6588
+ "learning_rate": 9.61e-05,
6589
+ "loss": 0.0079,
6590
+ "step": 961
6591
+ },
6592
+ {
6593
+ "epoch": 96.2,
6594
+ "learning_rate": 9.620000000000001e-05,
6595
+ "loss": 0.0089,
6596
+ "step": 962
6597
+ },
6598
+ {
6599
+ "epoch": 96.3,
6600
+ "learning_rate": 9.63e-05,
6601
+ "loss": 0.0091,
6602
+ "step": 963
6603
+ },
6604
+ {
6605
+ "epoch": 96.4,
6606
+ "learning_rate": 9.64e-05,
6607
+ "loss": 0.0076,
6608
+ "step": 964
6609
+ },
6610
+ {
6611
+ "epoch": 96.5,
6612
+ "learning_rate": 9.65e-05,
6613
+ "loss": 0.0102,
6614
+ "step": 965
6615
+ },
6616
+ {
6617
+ "epoch": 96.6,
6618
+ "learning_rate": 9.66e-05,
6619
+ "loss": 0.0089,
6620
+ "step": 966
6621
+ },
6622
+ {
6623
+ "epoch": 96.7,
6624
+ "learning_rate": 9.67e-05,
6625
+ "loss": 0.01,
6626
+ "step": 967
6627
+ },
6628
+ {
6629
+ "epoch": 96.8,
6630
+ "learning_rate": 9.680000000000001e-05,
6631
+ "loss": 0.0104,
6632
+ "step": 968
6633
+ },
6634
+ {
6635
+ "epoch": 96.9,
6636
+ "learning_rate": 9.69e-05,
6637
+ "loss": 0.0108,
6638
+ "step": 969
6639
+ },
6640
+ {
6641
+ "epoch": 97.0,
6642
+ "learning_rate": 9.7e-05,
6643
+ "loss": 0.008,
6644
+ "step": 970
6645
+ },
6646
+ {
6647
+ "epoch": 97.1,
6648
+ "learning_rate": 9.71e-05,
6649
+ "loss": 0.008,
6650
+ "step": 971
6651
+ },
6652
+ {
6653
+ "epoch": 97.2,
6654
+ "learning_rate": 9.72e-05,
6655
+ "loss": 0.0096,
6656
+ "step": 972
6657
+ },
6658
+ {
6659
+ "epoch": 97.3,
6660
+ "learning_rate": 9.730000000000001e-05,
6661
+ "loss": 0.0085,
6662
+ "step": 973
6663
+ },
6664
+ {
6665
+ "epoch": 97.4,
6666
+ "learning_rate": 9.74e-05,
6667
+ "loss": 0.0108,
6668
+ "step": 974
6669
+ },
6670
+ {
6671
+ "epoch": 97.5,
6672
+ "learning_rate": 9.75e-05,
6673
+ "loss": 0.0102,
6674
+ "step": 975
6675
+ },
6676
+ {
6677
+ "epoch": 97.6,
6678
+ "learning_rate": 9.76e-05,
6679
+ "loss": 0.0093,
6680
+ "step": 976
6681
+ },
6682
+ {
6683
+ "epoch": 97.7,
6684
+ "learning_rate": 9.77e-05,
6685
+ "loss": 0.0107,
6686
+ "step": 977
6687
+ },
6688
+ {
6689
+ "epoch": 97.8,
6690
+ "learning_rate": 9.78e-05,
6691
+ "loss": 0.0079,
6692
+ "step": 978
6693
+ },
6694
+ {
6695
+ "epoch": 97.9,
6696
+ "learning_rate": 9.790000000000001e-05,
6697
+ "loss": 0.0092,
6698
+ "step": 979
6699
+ },
6700
+ {
6701
+ "epoch": 98.0,
6702
+ "learning_rate": 9.8e-05,
6703
+ "loss": 0.0079,
6704
+ "step": 980
6705
+ },
6706
+ {
6707
+ "epoch": 98.0,
6708
+ "eval_accuracy_safe": 0.8204594431016071,
6709
+ "eval_accuracy_unlabeled": NaN,
6710
+ "eval_accuracy_unsafe": 0.9964533560467487,
6711
+ "eval_iou_safe": 0.7348348047661303,
6712
+ "eval_iou_unlabeled": NaN,
6713
+ "eval_iou_unsafe": 0.9910375731299209,
6714
+ "eval_loss": 0.03976387903094292,
6715
+ "eval_mean_accuracy": 0.9084563995741779,
6716
+ "eval_mean_iou": 0.8629361889480256,
6717
+ "eval_overall_accuracy": 0.9912547780506646,
6718
+ "eval_runtime": 9.9093,
6719
+ "eval_samples_per_second": 6.761,
6720
+ "eval_steps_per_second": 0.505,
6721
+ "step": 980
6722
+ },
6723
+ {
6724
+ "epoch": 98.1,
6725
+ "learning_rate": 9.81e-05,
6726
+ "loss": 0.0081,
6727
+ "step": 981
6728
+ },
6729
+ {
6730
+ "epoch": 98.2,
6731
+ "learning_rate": 9.82e-05,
6732
+ "loss": 0.0094,
6733
+ "step": 982
6734
+ },
6735
+ {
6736
+ "epoch": 98.3,
6737
+ "learning_rate": 9.83e-05,
6738
+ "loss": 0.0077,
6739
+ "step": 983
6740
+ },
6741
+ {
6742
+ "epoch": 98.4,
6743
+ "learning_rate": 9.84e-05,
6744
+ "loss": 0.0097,
6745
+ "step": 984
6746
+ },
6747
+ {
6748
+ "epoch": 98.5,
6749
+ "learning_rate": 9.850000000000001e-05,
6750
+ "loss": 0.0086,
6751
+ "step": 985
6752
+ },
6753
+ {
6754
+ "epoch": 98.6,
6755
+ "learning_rate": 9.86e-05,
6756
+ "loss": 0.0075,
6757
+ "step": 986
6758
+ },
6759
+ {
6760
+ "epoch": 98.7,
6761
+ "learning_rate": 9.87e-05,
6762
+ "loss": 0.0087,
6763
+ "step": 987
6764
+ },
6765
+ {
6766
+ "epoch": 98.8,
6767
+ "learning_rate": 9.88e-05,
6768
+ "loss": 0.0111,
6769
+ "step": 988
6770
+ },
6771
+ {
6772
+ "epoch": 98.9,
6773
+ "learning_rate": 9.89e-05,
6774
+ "loss": 0.0081,
6775
+ "step": 989
6776
+ },
6777
+ {
6778
+ "epoch": 99.0,
6779
+ "learning_rate": 9.900000000000001e-05,
6780
+ "loss": 0.0108,
6781
+ "step": 990
6782
+ },
6783
+ {
6784
+ "epoch": 99.1,
6785
+ "learning_rate": 9.910000000000001e-05,
6786
+ "loss": 0.0089,
6787
+ "step": 991
6788
+ },
6789
+ {
6790
+ "epoch": 99.2,
6791
+ "learning_rate": 9.92e-05,
6792
+ "loss": 0.0124,
6793
+ "step": 992
6794
+ },
6795
+ {
6796
+ "epoch": 99.3,
6797
+ "learning_rate": 9.93e-05,
6798
+ "loss": 0.0087,
6799
+ "step": 993
6800
+ },
6801
+ {
6802
+ "epoch": 99.4,
6803
+ "learning_rate": 9.94e-05,
6804
+ "loss": 0.0077,
6805
+ "step": 994
6806
+ },
6807
+ {
6808
+ "epoch": 99.5,
6809
+ "learning_rate": 9.95e-05,
6810
+ "loss": 0.0108,
6811
+ "step": 995
6812
+ },
6813
+ {
6814
+ "epoch": 99.6,
6815
+ "learning_rate": 9.960000000000001e-05,
6816
+ "loss": 0.0088,
6817
+ "step": 996
6818
+ },
6819
+ {
6820
+ "epoch": 99.7,
6821
+ "learning_rate": 9.970000000000001e-05,
6822
+ "loss": 0.0097,
6823
+ "step": 997
6824
+ },
6825
+ {
6826
+ "epoch": 99.8,
6827
+ "learning_rate": 9.98e-05,
6828
+ "loss": 0.0085,
6829
+ "step": 998
6830
+ },
6831
+ {
6832
+ "epoch": 99.9,
6833
+ "learning_rate": 9.99e-05,
6834
+ "loss": 0.0078,
6835
+ "step": 999
6836
+ },
6837
+ {
6838
+ "epoch": 100.0,
6839
+ "learning_rate": 0.0001,
6840
+ "loss": 0.0084,
6841
+ "step": 1000
6842
+ },
6843
+ {
6844
+ "epoch": 100.0,
6845
+ "eval_accuracy_safe": 0.8262015181128831,
6846
+ "eval_accuracy_unlabeled": NaN,
6847
+ "eval_accuracy_unsafe": 0.9955301444201959,
6848
+ "eval_iou_safe": 0.7204070656649691,
6849
+ "eval_iou_unlabeled": NaN,
6850
+ "eval_iou_unsafe": 0.990291515973755,
6851
+ "eval_loss": 0.049743711948394775,
6852
+ "eval_mean_accuracy": 0.9108658312665395,
6853
+ "eval_mean_iou": 0.8553492908193621,
6854
+ "eval_overall_accuracy": 0.9905284483041337,
6855
+ "eval_runtime": 9.603,
6856
+ "eval_samples_per_second": 6.977,
6857
+ "eval_steps_per_second": 0.521,
6858
+ "step": 1000
6859
+ },
6860
+ {
6861
+ "epoch": 100.1,
6862
+ "learning_rate": 9.999473684210527e-05,
6863
+ "loss": 0.0091,
6864
+ "step": 1001
6865
+ },
6866
+ {
6867
+ "epoch": 100.2,
6868
+ "learning_rate": 9.998947368421053e-05,
6869
+ "loss": 0.0103,
6870
+ "step": 1002
6871
+ },
6872
+ {
6873
+ "epoch": 100.3,
6874
+ "learning_rate": 9.998421052631579e-05,
6875
+ "loss": 0.0083,
6876
+ "step": 1003
6877
+ },
6878
+ {
6879
+ "epoch": 100.4,
6880
+ "learning_rate": 9.997894736842107e-05,
6881
+ "loss": 0.0105,
6882
+ "step": 1004
6883
+ },
6884
+ {
6885
+ "epoch": 100.5,
6886
+ "learning_rate": 9.997368421052632e-05,
6887
+ "loss": 0.0091,
6888
+ "step": 1005
6889
+ },
6890
+ {
6891
+ "epoch": 100.6,
6892
+ "learning_rate": 9.996842105263159e-05,
6893
+ "loss": 0.0114,
6894
+ "step": 1006
6895
+ },
6896
+ {
6897
+ "epoch": 100.7,
6898
+ "learning_rate": 9.996315789473684e-05,
6899
+ "loss": 0.0126,
6900
+ "step": 1007
6901
+ },
6902
+ {
6903
+ "epoch": 100.8,
6904
+ "learning_rate": 9.99578947368421e-05,
6905
+ "loss": 0.0105,
6906
+ "step": 1008
6907
+ },
6908
+ {
6909
+ "epoch": 100.9,
6910
+ "learning_rate": 9.995263157894738e-05,
6911
+ "loss": 0.0076,
6912
+ "step": 1009
6913
+ },
6914
+ {
6915
+ "epoch": 101.0,
6916
+ "learning_rate": 9.994736842105263e-05,
6917
+ "loss": 0.0092,
6918
+ "step": 1010
6919
+ },
6920
+ {
6921
+ "epoch": 101.1,
6922
+ "learning_rate": 9.99421052631579e-05,
6923
+ "loss": 0.0098,
6924
+ "step": 1011
6925
+ },
6926
+ {
6927
+ "epoch": 101.2,
6928
+ "learning_rate": 9.993684210526317e-05,
6929
+ "loss": 0.0097,
6930
+ "step": 1012
6931
+ },
6932
+ {
6933
+ "epoch": 101.3,
6934
+ "learning_rate": 9.993157894736841e-05,
6935
+ "loss": 0.0104,
6936
+ "step": 1013
6937
+ },
6938
+ {
6939
+ "epoch": 101.4,
6940
+ "learning_rate": 9.992631578947369e-05,
6941
+ "loss": 0.0114,
6942
+ "step": 1014
6943
+ },
6944
+ {
6945
+ "epoch": 101.5,
6946
+ "learning_rate": 9.992105263157895e-05,
6947
+ "loss": 0.008,
6948
+ "step": 1015
6949
+ },
6950
+ {
6951
+ "epoch": 101.6,
6952
+ "learning_rate": 9.991578947368422e-05,
6953
+ "loss": 0.0085,
6954
+ "step": 1016
6955
+ },
6956
+ {
6957
+ "epoch": 101.7,
6958
+ "learning_rate": 9.991052631578948e-05,
6959
+ "loss": 0.0117,
6960
+ "step": 1017
6961
+ },
6962
+ {
6963
+ "epoch": 101.8,
6964
+ "learning_rate": 9.990526315789474e-05,
6965
+ "loss": 0.0077,
6966
+ "step": 1018
6967
+ },
6968
+ {
6969
+ "epoch": 101.9,
6970
+ "learning_rate": 9.99e-05,
6971
+ "loss": 0.0108,
6972
+ "step": 1019
6973
+ },
6974
+ {
6975
+ "epoch": 102.0,
6976
+ "learning_rate": 9.989473684210526e-05,
6977
+ "loss": 0.0088,
6978
+ "step": 1020
6979
+ },
6980
+ {
6981
+ "epoch": 102.0,
6982
+ "eval_accuracy_safe": 0.8155596932933952,
6983
+ "eval_accuracy_unlabeled": NaN,
6984
+ "eval_accuracy_unsafe": 0.9960180925072599,
6985
+ "eval_iou_safe": 0.721209259672765,
6986
+ "eval_iou_unlabeled": NaN,
6987
+ "eval_iou_unsafe": 0.9904577652014809,
6988
+ "eval_loss": 0.039893802255392075,
6989
+ "eval_mean_accuracy": 0.9057888929003275,
6990
+ "eval_mean_iou": 0.8558335124371229,
6991
+ "eval_overall_accuracy": 0.9906876407452484,
6992
+ "eval_runtime": 9.8062,
6993
+ "eval_samples_per_second": 6.832,
6994
+ "eval_steps_per_second": 0.51,
6995
+ "step": 1020
6996
+ },
6997
+ {
6998
+ "epoch": 102.1,
6999
+ "learning_rate": 9.988947368421053e-05,
7000
+ "loss": 0.0114,
7001
+ "step": 1021
7002
+ },
7003
+ {
7004
+ "epoch": 102.2,
7005
+ "learning_rate": 9.988421052631579e-05,
7006
+ "loss": 0.0108,
7007
+ "step": 1022
7008
+ },
7009
+ {
7010
+ "epoch": 102.3,
7011
+ "learning_rate": 9.987894736842107e-05,
7012
+ "loss": 0.0082,
7013
+ "step": 1023
7014
+ },
7015
+ {
7016
+ "epoch": 102.4,
7017
+ "learning_rate": 9.987368421052631e-05,
7018
+ "loss": 0.0083,
7019
+ "step": 1024
7020
+ },
7021
+ {
7022
+ "epoch": 102.5,
7023
+ "learning_rate": 9.986842105263159e-05,
7024
+ "loss": 0.0091,
7025
+ "step": 1025
7026
+ },
7027
+ {
7028
+ "epoch": 102.6,
7029
+ "learning_rate": 9.986315789473685e-05,
7030
+ "loss": 0.0083,
7031
+ "step": 1026
7032
+ },
7033
+ {
7034
+ "epoch": 102.7,
7035
+ "learning_rate": 9.98578947368421e-05,
7036
+ "loss": 0.0075,
7037
+ "step": 1027
7038
+ },
7039
+ {
7040
+ "epoch": 102.8,
7041
+ "learning_rate": 9.985263157894738e-05,
7042
+ "loss": 0.0085,
7043
+ "step": 1028
7044
+ },
7045
+ {
7046
+ "epoch": 102.9,
7047
+ "learning_rate": 9.984736842105264e-05,
7048
+ "loss": 0.0119,
7049
+ "step": 1029
7050
+ },
7051
+ {
7052
+ "epoch": 103.0,
7053
+ "learning_rate": 9.98421052631579e-05,
7054
+ "loss": 0.008,
7055
+ "step": 1030
7056
+ },
7057
+ {
7058
+ "epoch": 103.1,
7059
+ "learning_rate": 9.983684210526316e-05,
7060
+ "loss": 0.0078,
7061
+ "step": 1031
7062
+ },
7063
+ {
7064
+ "epoch": 103.2,
7065
+ "learning_rate": 9.983157894736843e-05,
7066
+ "loss": 0.0078,
7067
+ "step": 1032
7068
+ },
7069
+ {
7070
+ "epoch": 103.3,
7071
+ "learning_rate": 9.982631578947369e-05,
7072
+ "loss": 0.0102,
7073
+ "step": 1033
7074
+ },
7075
+ {
7076
+ "epoch": 103.4,
7077
+ "learning_rate": 9.982105263157895e-05,
7078
+ "loss": 0.008,
7079
+ "step": 1034
7080
+ },
7081
+ {
7082
+ "epoch": 103.5,
7083
+ "learning_rate": 9.981578947368421e-05,
7084
+ "loss": 0.011,
7085
+ "step": 1035
7086
+ },
7087
+ {
7088
+ "epoch": 103.6,
7089
+ "learning_rate": 9.981052631578948e-05,
7090
+ "loss": 0.0074,
7091
+ "step": 1036
7092
+ },
7093
+ {
7094
+ "epoch": 103.7,
7095
+ "learning_rate": 9.980526315789475e-05,
7096
+ "loss": 0.0077,
7097
+ "step": 1037
7098
+ },
7099
+ {
7100
+ "epoch": 103.8,
7101
+ "learning_rate": 9.98e-05,
7102
+ "loss": 0.0094,
7103
+ "step": 1038
7104
+ },
7105
+ {
7106
+ "epoch": 103.9,
7107
+ "learning_rate": 9.979473684210526e-05,
7108
+ "loss": 0.0096,
7109
+ "step": 1039
7110
+ },
7111
+ {
7112
+ "epoch": 104.0,
7113
+ "learning_rate": 9.978947368421054e-05,
7114
+ "loss": 0.0089,
7115
+ "step": 1040
7116
+ },
7117
+ {
7118
+ "epoch": 104.0,
7119
+ "eval_accuracy_safe": 0.8493741350264649,
7120
+ "eval_accuracy_unlabeled": NaN,
7121
+ "eval_accuracy_unsafe": 0.9957055640162428,
7122
+ "eval_iou_safe": 0.7443530405405405,
7123
+ "eval_iou_unlabeled": NaN,
7124
+ "eval_iou_unsafe": 0.9911614156662233,
7125
+ "eval_loss": 0.03877120092511177,
7126
+ "eval_mean_accuracy": 0.9225398495213538,
7127
+ "eval_mean_iou": 0.8677572281033819,
7128
+ "eval_overall_accuracy": 0.9913831682347539,
7129
+ "eval_runtime": 9.5733,
7130
+ "eval_samples_per_second": 6.999,
7131
+ "eval_steps_per_second": 0.522,
7132
+ "step": 1040
7133
  }
7134
  ],
7135
  "max_steps": 20000,
7136
  "num_train_epochs": 2000,
7137
+ "total_flos": 6.393144550486966e+18,
7138
  "trial_name": null,
7139
  "trial_params": null
7140
  }
{checkpoint-640 β†’ checkpoint-1040}/training_args.bin RENAMED
File without changes
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3f644b84dd869b7c8eff15e9507b94c37cb21d08c1e0c756b2c097fd54b13a72
3
  size 338796489
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7c1499e4b1a6b14b99ea0a885e320e3810e76d11e1111bb242653debd320d2e3
3
  size 338796489
runs/Feb08_09-49-29_robovision.csres.utexas.edu/events.out.tfevents.1707407376.robovision.csres.utexas.edu.889113.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:086c055deade0d8b44facc23639e99976bffcddc0cb0d41b9392dfc6011e7c96
3
- size 192553
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:19efe02af10dccd2fcfce984059a3530cb2ca0a4278c89128d7bc1c705b153b1
3
+ size 208237