sam1120 commited on
Commit
62ad95d
β€’
1 Parent(s): 120fd4f

Training in progress, step 1160

Browse files
{checkpoint-960 β†’ checkpoint-1160}/config.json RENAMED
File without changes
{checkpoint-960 β†’ checkpoint-1160}/optimizer.pt RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:31cd9cbc2d9d9ef87a677a8781715c8d258349bb557ee086930e5a0aaa21dbfa
3
  size 677531583
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:228cbbae206fbfef56d8133580c36d5d5337577677a2f3c2459bdda0f18adf6c
3
  size 677531583
{checkpoint-960 β†’ checkpoint-1160}/pytorch_model.bin RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:45ed797d3377bf6cef4b0ebe328a61b72121570e48f199184d5d44ec0c947db3
3
  size 338834121
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c0acdb62cf946477897e481633418947414ac989878fb9786ce2355e27fe05cb
3
  size 338834121
{checkpoint-960 β†’ checkpoint-1160}/rng_state.pth RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:780f6215e82691822a0af87372437fc5396ad74b03332cb59ce0703bb8b21d9f
3
  size 14575
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a6c0ccbdc34d0c1eccbc41f0ffebc2a501a572776fb00cd003caca3988be2379
3
  size 14575
{checkpoint-960 β†’ checkpoint-1160}/scheduler.pt RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:fec4723a2f208eacfc8ac08d81312dd289d8f90b3c35c36fb1a90fbe834be128
3
  size 627
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f3fe0a76c95f9db1914d991d401624fbae41ccd6140c82d205fce5a7a8dc7e6c
3
  size 627
{checkpoint-960 β†’ checkpoint-1160}/trainer_state.json RENAMED
@@ -1,8 +1,8 @@
1
  {
2
- "best_metric": 0.0893407091498375,
3
- "best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/safety-utcustom-train-SF-RGBD-b5/checkpoint-960",
4
- "epoch": 87.27272727272727,
5
- "global_step": 960,
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
8
  "is_world_process_zero": true,
@@ -7398,11 +7398,1551 @@
7398
  "eval_samples_per_second": 6.159,
7399
  "eval_steps_per_second": 0.46,
7400
  "step": 960
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
7401
  }
7402
  ],
7403
- "max_steps": 1100,
7404
- "num_train_epochs": 100,
7405
- "total_flos": 1.0733341663017566e+19,
7406
  "trial_name": null,
7407
  "trial_params": null
7408
  }
 
1
  {
2
+ "best_metric": 0.08801957964897156,
3
+ "best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/safety-utcustom-train-SF-RGBD-b5/checkpoint-1160",
4
+ "epoch": 105.45454545454545,
5
+ "global_step": 1160,
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
8
  "is_world_process_zero": true,
 
7398
  "eval_samples_per_second": 6.159,
7399
  "eval_steps_per_second": 0.46,
7400
  "step": 960
7401
+ },
7402
+ {
7403
+ "epoch": 87.36,
7404
+ "learning_rate": 5.320574162679425e-07,
7405
+ "loss": 0.0971,
7406
+ "step": 961
7407
+ },
7408
+ {
7409
+ "epoch": 87.45,
7410
+ "learning_rate": 5.282296650717704e-07,
7411
+ "loss": 0.0785,
7412
+ "step": 962
7413
+ },
7414
+ {
7415
+ "epoch": 87.55,
7416
+ "learning_rate": 5.24401913875598e-07,
7417
+ "loss": 0.0918,
7418
+ "step": 963
7419
+ },
7420
+ {
7421
+ "epoch": 87.64,
7422
+ "learning_rate": 5.205741626794258e-07,
7423
+ "loss": 0.0877,
7424
+ "step": 964
7425
+ },
7426
+ {
7427
+ "epoch": 87.73,
7428
+ "learning_rate": 5.167464114832535e-07,
7429
+ "loss": 0.0858,
7430
+ "step": 965
7431
+ },
7432
+ {
7433
+ "epoch": 87.82,
7434
+ "learning_rate": 5.129186602870813e-07,
7435
+ "loss": 0.0879,
7436
+ "step": 966
7437
+ },
7438
+ {
7439
+ "epoch": 87.91,
7440
+ "learning_rate": 5.090909090909091e-07,
7441
+ "loss": 0.0845,
7442
+ "step": 967
7443
+ },
7444
+ {
7445
+ "epoch": 88.0,
7446
+ "learning_rate": 5.052631578947368e-07,
7447
+ "loss": 0.0838,
7448
+ "step": 968
7449
+ },
7450
+ {
7451
+ "epoch": 88.09,
7452
+ "learning_rate": 5.014354066985646e-07,
7453
+ "loss": 0.087,
7454
+ "step": 969
7455
+ },
7456
+ {
7457
+ "epoch": 88.18,
7458
+ "learning_rate": 4.976076555023923e-07,
7459
+ "loss": 0.0851,
7460
+ "step": 970
7461
+ },
7462
+ {
7463
+ "epoch": 88.18,
7464
+ "eval_accuracy_safe": 0.5086834669103049,
7465
+ "eval_accuracy_unlabeled": NaN,
7466
+ "eval_accuracy_unsafe": 0.9961247523151573,
7467
+ "eval_iou_safe": 0.45123321165075103,
7468
+ "eval_iou_unlabeled": NaN,
7469
+ "eval_iou_unsafe": 0.9814477580070269,
7470
+ "eval_loss": 0.08967232704162598,
7471
+ "eval_mean_accuracy": 0.7524041096127311,
7472
+ "eval_mean_iou": 0.716340484828889,
7473
+ "eval_overall_accuracy": 0.9817265183178346,
7474
+ "eval_runtime": 10.7386,
7475
+ "eval_samples_per_second": 6.239,
7476
+ "eval_steps_per_second": 0.466,
7477
+ "step": 970
7478
+ },
7479
+ {
7480
+ "epoch": 88.27,
7481
+ "learning_rate": 4.937799043062201e-07,
7482
+ "loss": 0.1024,
7483
+ "step": 971
7484
+ },
7485
+ {
7486
+ "epoch": 88.36,
7487
+ "learning_rate": 4.899521531100478e-07,
7488
+ "loss": 0.0857,
7489
+ "step": 972
7490
+ },
7491
+ {
7492
+ "epoch": 88.45,
7493
+ "learning_rate": 4.861244019138756e-07,
7494
+ "loss": 0.0818,
7495
+ "step": 973
7496
+ },
7497
+ {
7498
+ "epoch": 88.55,
7499
+ "learning_rate": 4.822966507177033e-07,
7500
+ "loss": 0.079,
7501
+ "step": 974
7502
+ },
7503
+ {
7504
+ "epoch": 88.64,
7505
+ "learning_rate": 4.784688995215311e-07,
7506
+ "loss": 0.1013,
7507
+ "step": 975
7508
+ },
7509
+ {
7510
+ "epoch": 88.73,
7511
+ "learning_rate": 4.7464114832535886e-07,
7512
+ "loss": 0.0876,
7513
+ "step": 976
7514
+ },
7515
+ {
7516
+ "epoch": 88.82,
7517
+ "learning_rate": 4.708133971291866e-07,
7518
+ "loss": 0.0865,
7519
+ "step": 977
7520
+ },
7521
+ {
7522
+ "epoch": 88.91,
7523
+ "learning_rate": 4.669856459330143e-07,
7524
+ "loss": 0.0826,
7525
+ "step": 978
7526
+ },
7527
+ {
7528
+ "epoch": 89.0,
7529
+ "learning_rate": 4.6315789473684207e-07,
7530
+ "loss": 0.0973,
7531
+ "step": 979
7532
+ },
7533
+ {
7534
+ "epoch": 89.09,
7535
+ "learning_rate": 4.593301435406698e-07,
7536
+ "loss": 0.0857,
7537
+ "step": 980
7538
+ },
7539
+ {
7540
+ "epoch": 89.09,
7541
+ "eval_accuracy_safe": 0.5363144320954815,
7542
+ "eval_accuracy_unlabeled": NaN,
7543
+ "eval_accuracy_unsafe": 0.9952871384112242,
7544
+ "eval_iou_safe": 0.4644068418979457,
7545
+ "eval_iou_unlabeled": NaN,
7546
+ "eval_iou_unsafe": 0.9814357278367817,
7547
+ "eval_loss": 0.08939877152442932,
7548
+ "eval_mean_accuracy": 0.7658007852533528,
7549
+ "eval_mean_iou": 0.7229212848673636,
7550
+ "eval_overall_accuracy": 0.9817298205930796,
7551
+ "eval_runtime": 11.0847,
7552
+ "eval_samples_per_second": 6.044,
7553
+ "eval_steps_per_second": 0.451,
7554
+ "step": 980
7555
+ },
7556
+ {
7557
+ "epoch": 89.18,
7558
+ "learning_rate": 4.5550239234449763e-07,
7559
+ "loss": 0.0901,
7560
+ "step": 981
7561
+ },
7562
+ {
7563
+ "epoch": 89.27,
7564
+ "learning_rate": 4.5167464114832534e-07,
7565
+ "loss": 0.0903,
7566
+ "step": 982
7567
+ },
7568
+ {
7569
+ "epoch": 89.36,
7570
+ "learning_rate": 4.478468899521531e-07,
7571
+ "loss": 0.0868,
7572
+ "step": 983
7573
+ },
7574
+ {
7575
+ "epoch": 89.45,
7576
+ "learning_rate": 4.4401913875598085e-07,
7577
+ "loss": 0.0884,
7578
+ "step": 984
7579
+ },
7580
+ {
7581
+ "epoch": 89.55,
7582
+ "learning_rate": 4.401913875598086e-07,
7583
+ "loss": 0.0787,
7584
+ "step": 985
7585
+ },
7586
+ {
7587
+ "epoch": 89.64,
7588
+ "learning_rate": 4.363636363636363e-07,
7589
+ "loss": 0.0792,
7590
+ "step": 986
7591
+ },
7592
+ {
7593
+ "epoch": 89.73,
7594
+ "learning_rate": 4.325358851674641e-07,
7595
+ "loss": 0.0916,
7596
+ "step": 987
7597
+ },
7598
+ {
7599
+ "epoch": 89.82,
7600
+ "learning_rate": 4.2870813397129187e-07,
7601
+ "loss": 0.0968,
7602
+ "step": 988
7603
+ },
7604
+ {
7605
+ "epoch": 89.91,
7606
+ "learning_rate": 4.248803827751196e-07,
7607
+ "loss": 0.0855,
7608
+ "step": 989
7609
+ },
7610
+ {
7611
+ "epoch": 90.0,
7612
+ "learning_rate": 4.2105263157894733e-07,
7613
+ "loss": 0.0821,
7614
+ "step": 990
7615
+ },
7616
+ {
7617
+ "epoch": 90.0,
7618
+ "eval_accuracy_safe": 0.5332997945266209,
7619
+ "eval_accuracy_unlabeled": NaN,
7620
+ "eval_accuracy_unsafe": 0.9953243930745986,
7621
+ "eval_iou_safe": 0.4622863606668037,
7622
+ "eval_iou_unlabeled": NaN,
7623
+ "eval_iou_unsafe": 0.9813836675031155,
7624
+ "eval_loss": 0.08945173770189285,
7625
+ "eval_mean_accuracy": 0.7643120938006098,
7626
+ "eval_mean_iou": 0.7218350140849595,
7627
+ "eval_overall_accuracy": 0.9816769272533815,
7628
+ "eval_runtime": 10.507,
7629
+ "eval_samples_per_second": 6.377,
7630
+ "eval_steps_per_second": 0.476,
7631
+ "step": 990
7632
+ },
7633
+ {
7634
+ "epoch": 90.09,
7635
+ "learning_rate": 4.172248803827751e-07,
7636
+ "loss": 0.0901,
7637
+ "step": 991
7638
+ },
7639
+ {
7640
+ "epoch": 90.18,
7641
+ "learning_rate": 4.1339712918660284e-07,
7642
+ "loss": 0.0814,
7643
+ "step": 992
7644
+ },
7645
+ {
7646
+ "epoch": 90.27,
7647
+ "learning_rate": 4.0956937799043065e-07,
7648
+ "loss": 0.0967,
7649
+ "step": 993
7650
+ },
7651
+ {
7652
+ "epoch": 90.36,
7653
+ "learning_rate": 4.0574162679425835e-07,
7654
+ "loss": 0.084,
7655
+ "step": 994
7656
+ },
7657
+ {
7658
+ "epoch": 90.45,
7659
+ "learning_rate": 4.019138755980861e-07,
7660
+ "loss": 0.088,
7661
+ "step": 995
7662
+ },
7663
+ {
7664
+ "epoch": 90.55,
7665
+ "learning_rate": 3.9808612440191386e-07,
7666
+ "loss": 0.0876,
7667
+ "step": 996
7668
+ },
7669
+ {
7670
+ "epoch": 90.64,
7671
+ "learning_rate": 3.942583732057416e-07,
7672
+ "loss": 0.0835,
7673
+ "step": 997
7674
+ },
7675
+ {
7676
+ "epoch": 90.73,
7677
+ "learning_rate": 3.904306220095693e-07,
7678
+ "loss": 0.0895,
7679
+ "step": 998
7680
+ },
7681
+ {
7682
+ "epoch": 90.82,
7683
+ "learning_rate": 3.8660287081339707e-07,
7684
+ "loss": 0.0885,
7685
+ "step": 999
7686
+ },
7687
+ {
7688
+ "epoch": 90.91,
7689
+ "learning_rate": 3.827751196172249e-07,
7690
+ "loss": 0.0931,
7691
+ "step": 1000
7692
+ },
7693
+ {
7694
+ "epoch": 90.91,
7695
+ "eval_accuracy_safe": 0.5581262215642963,
7696
+ "eval_accuracy_unlabeled": NaN,
7697
+ "eval_accuracy_unsafe": 0.9944299878098047,
7698
+ "eval_iou_safe": 0.47178944898670777,
7699
+ "eval_iou_unlabeled": NaN,
7700
+ "eval_iou_unsafe": 0.9812328764506335,
7701
+ "eval_loss": 0.08953512459993362,
7702
+ "eval_mean_accuracy": 0.7762781046870505,
7703
+ "eval_mean_iou": 0.7265111627186707,
7704
+ "eval_overall_accuracy": 0.9815422741334829,
7705
+ "eval_runtime": 12.228,
7706
+ "eval_samples_per_second": 5.479,
7707
+ "eval_steps_per_second": 0.409,
7708
+ "step": 1000
7709
+ },
7710
+ {
7711
+ "epoch": 91.0,
7712
+ "learning_rate": 3.7894736842105264e-07,
7713
+ "loss": 0.0787,
7714
+ "step": 1001
7715
+ },
7716
+ {
7717
+ "epoch": 91.09,
7718
+ "learning_rate": 3.751196172248804e-07,
7719
+ "loss": 0.0869,
7720
+ "step": 1002
7721
+ },
7722
+ {
7723
+ "epoch": 91.18,
7724
+ "learning_rate": 3.712918660287081e-07,
7725
+ "loss": 0.1074,
7726
+ "step": 1003
7727
+ },
7728
+ {
7729
+ "epoch": 91.27,
7730
+ "learning_rate": 3.6746411483253585e-07,
7731
+ "loss": 0.0836,
7732
+ "step": 1004
7733
+ },
7734
+ {
7735
+ "epoch": 91.36,
7736
+ "learning_rate": 3.636363636363636e-07,
7737
+ "loss": 0.0908,
7738
+ "step": 1005
7739
+ },
7740
+ {
7741
+ "epoch": 91.45,
7742
+ "learning_rate": 3.598086124401914e-07,
7743
+ "loss": 0.0813,
7744
+ "step": 1006
7745
+ },
7746
+ {
7747
+ "epoch": 91.55,
7748
+ "learning_rate": 3.559808612440191e-07,
7749
+ "loss": 0.0898,
7750
+ "step": 1007
7751
+ },
7752
+ {
7753
+ "epoch": 91.64,
7754
+ "learning_rate": 3.5215311004784687e-07,
7755
+ "loss": 0.1058,
7756
+ "step": 1008
7757
+ },
7758
+ {
7759
+ "epoch": 91.73,
7760
+ "learning_rate": 3.4832535885167463e-07,
7761
+ "loss": 0.0865,
7762
+ "step": 1009
7763
+ },
7764
+ {
7765
+ "epoch": 91.82,
7766
+ "learning_rate": 3.444976076555024e-07,
7767
+ "loss": 0.0787,
7768
+ "step": 1010
7769
+ },
7770
+ {
7771
+ "epoch": 91.82,
7772
+ "eval_accuracy_safe": 0.552497870093022,
7773
+ "eval_accuracy_unlabeled": NaN,
7774
+ "eval_accuracy_unsafe": 0.9945764250378091,
7775
+ "eval_iou_safe": 0.46893885604159374,
7776
+ "eval_iou_unlabeled": NaN,
7777
+ "eval_iou_unsafe": 0.9812115070135685,
7778
+ "eval_loss": 0.08887456357479095,
7779
+ "eval_mean_accuracy": 0.7735371475654156,
7780
+ "eval_mean_iou": 0.7250751815275811,
7781
+ "eval_overall_accuracy": 0.9815181333627274,
7782
+ "eval_runtime": 10.9308,
7783
+ "eval_samples_per_second": 6.129,
7784
+ "eval_steps_per_second": 0.457,
7785
+ "step": 1010
7786
+ },
7787
+ {
7788
+ "epoch": 91.91,
7789
+ "learning_rate": 3.406698564593301e-07,
7790
+ "loss": 0.0804,
7791
+ "step": 1011
7792
+ },
7793
+ {
7794
+ "epoch": 92.0,
7795
+ "learning_rate": 3.368421052631579e-07,
7796
+ "loss": 0.0913,
7797
+ "step": 1012
7798
+ },
7799
+ {
7800
+ "epoch": 92.09,
7801
+ "learning_rate": 3.3301435406698565e-07,
7802
+ "loss": 0.0774,
7803
+ "step": 1013
7804
+ },
7805
+ {
7806
+ "epoch": 92.18,
7807
+ "learning_rate": 3.291866028708134e-07,
7808
+ "loss": 0.0797,
7809
+ "step": 1014
7810
+ },
7811
+ {
7812
+ "epoch": 92.27,
7813
+ "learning_rate": 3.253588516746411e-07,
7814
+ "loss": 0.0917,
7815
+ "step": 1015
7816
+ },
7817
+ {
7818
+ "epoch": 92.36,
7819
+ "learning_rate": 3.2153110047846886e-07,
7820
+ "loss": 0.0924,
7821
+ "step": 1016
7822
+ },
7823
+ {
7824
+ "epoch": 92.45,
7825
+ "learning_rate": 3.177033492822966e-07,
7826
+ "loss": 0.0841,
7827
+ "step": 1017
7828
+ },
7829
+ {
7830
+ "epoch": 92.55,
7831
+ "learning_rate": 3.138755980861244e-07,
7832
+ "loss": 0.0962,
7833
+ "step": 1018
7834
+ },
7835
+ {
7836
+ "epoch": 92.64,
7837
+ "learning_rate": 3.1004784688995213e-07,
7838
+ "loss": 0.0809,
7839
+ "step": 1019
7840
+ },
7841
+ {
7842
+ "epoch": 92.73,
7843
+ "learning_rate": 3.062200956937799e-07,
7844
+ "loss": 0.0865,
7845
+ "step": 1020
7846
+ },
7847
+ {
7848
+ "epoch": 92.73,
7849
+ "eval_accuracy_safe": 0.5659114652603499,
7850
+ "eval_accuracy_unlabeled": NaN,
7851
+ "eval_accuracy_unsafe": 0.9941407508169918,
7852
+ "eval_iou_safe": 0.47455840897923296,
7853
+ "eval_iou_unlabeled": NaN,
7854
+ "eval_iou_unsafe": 0.9811768951245775,
7855
+ "eval_loss": 0.08833795040845871,
7856
+ "eval_mean_accuracy": 0.7800261080386708,
7857
+ "eval_mean_iou": 0.7278676520519052,
7858
+ "eval_overall_accuracy": 0.9814915443534282,
7859
+ "eval_runtime": 10.5901,
7860
+ "eval_samples_per_second": 6.327,
7861
+ "eval_steps_per_second": 0.472,
7862
+ "step": 1020
7863
+ },
7864
+ {
7865
+ "epoch": 92.82,
7866
+ "learning_rate": 3.0239234449760764e-07,
7867
+ "loss": 0.091,
7868
+ "step": 1021
7869
+ },
7870
+ {
7871
+ "epoch": 92.91,
7872
+ "learning_rate": 2.985645933014354e-07,
7873
+ "loss": 0.0795,
7874
+ "step": 1022
7875
+ },
7876
+ {
7877
+ "epoch": 93.0,
7878
+ "learning_rate": 2.947368421052631e-07,
7879
+ "loss": 0.0855,
7880
+ "step": 1023
7881
+ },
7882
+ {
7883
+ "epoch": 93.09,
7884
+ "learning_rate": 2.909090909090909e-07,
7885
+ "loss": 0.0879,
7886
+ "step": 1024
7887
+ },
7888
+ {
7889
+ "epoch": 93.18,
7890
+ "learning_rate": 2.8708133971291866e-07,
7891
+ "loss": 0.0927,
7892
+ "step": 1025
7893
+ },
7894
+ {
7895
+ "epoch": 93.27,
7896
+ "learning_rate": 2.832535885167464e-07,
7897
+ "loss": 0.0876,
7898
+ "step": 1026
7899
+ },
7900
+ {
7901
+ "epoch": 93.36,
7902
+ "learning_rate": 2.7942583732057417e-07,
7903
+ "loss": 0.0696,
7904
+ "step": 1027
7905
+ },
7906
+ {
7907
+ "epoch": 93.45,
7908
+ "learning_rate": 2.755980861244019e-07,
7909
+ "loss": 0.0943,
7910
+ "step": 1028
7911
+ },
7912
+ {
7913
+ "epoch": 93.55,
7914
+ "learning_rate": 2.7177033492822963e-07,
7915
+ "loss": 0.0897,
7916
+ "step": 1029
7917
+ },
7918
+ {
7919
+ "epoch": 93.64,
7920
+ "learning_rate": 2.6794258373205744e-07,
7921
+ "loss": 0.0939,
7922
+ "step": 1030
7923
+ },
7924
+ {
7925
+ "epoch": 93.64,
7926
+ "eval_accuracy_safe": 0.5582669303510781,
7927
+ "eval_accuracy_unlabeled": NaN,
7928
+ "eval_accuracy_unsafe": 0.9944564474211148,
7929
+ "eval_iou_safe": 0.4722554219774952,
7930
+ "eval_iou_unlabeled": NaN,
7931
+ "eval_iou_unsafe": 0.9812631317160837,
7932
+ "eval_loss": 0.08905700594186783,
7933
+ "eval_mean_accuracy": 0.7763616888860965,
7934
+ "eval_mean_iou": 0.7267592768467894,
7935
+ "eval_overall_accuracy": 0.981572108482247,
7936
+ "eval_runtime": 10.3984,
7937
+ "eval_samples_per_second": 6.443,
7938
+ "eval_steps_per_second": 0.481,
7939
+ "step": 1030
7940
+ },
7941
+ {
7942
+ "epoch": 93.73,
7943
+ "learning_rate": 2.641148325358852e-07,
7944
+ "loss": 0.0816,
7945
+ "step": 1031
7946
+ },
7947
+ {
7948
+ "epoch": 93.82,
7949
+ "learning_rate": 2.602870813397129e-07,
7950
+ "loss": 0.0916,
7951
+ "step": 1032
7952
+ },
7953
+ {
7954
+ "epoch": 93.91,
7955
+ "learning_rate": 2.5645933014354065e-07,
7956
+ "loss": 0.082,
7957
+ "step": 1033
7958
+ },
7959
+ {
7960
+ "epoch": 94.0,
7961
+ "learning_rate": 2.526315789473684e-07,
7962
+ "loss": 0.0887,
7963
+ "step": 1034
7964
+ },
7965
+ {
7966
+ "epoch": 94.09,
7967
+ "learning_rate": 2.4880382775119616e-07,
7968
+ "loss": 0.0838,
7969
+ "step": 1035
7970
+ },
7971
+ {
7972
+ "epoch": 94.18,
7973
+ "learning_rate": 2.449760765550239e-07,
7974
+ "loss": 0.0787,
7975
+ "step": 1036
7976
+ },
7977
+ {
7978
+ "epoch": 94.27,
7979
+ "learning_rate": 2.4114832535885167e-07,
7980
+ "loss": 0.0885,
7981
+ "step": 1037
7982
+ },
7983
+ {
7984
+ "epoch": 94.36,
7985
+ "learning_rate": 2.3732057416267943e-07,
7986
+ "loss": 0.0833,
7987
+ "step": 1038
7988
+ },
7989
+ {
7990
+ "epoch": 94.45,
7991
+ "learning_rate": 2.3349282296650716e-07,
7992
+ "loss": 0.0853,
7993
+ "step": 1039
7994
+ },
7995
+ {
7996
+ "epoch": 94.55,
7997
+ "learning_rate": 2.296650717703349e-07,
7998
+ "loss": 0.0874,
7999
+ "step": 1040
8000
+ },
8001
+ {
8002
+ "epoch": 94.55,
8003
+ "eval_accuracy_safe": 0.5258480113800641,
8004
+ "eval_accuracy_unlabeled": NaN,
8005
+ "eval_accuracy_unsafe": 0.9954896043061932,
8006
+ "eval_iou_safe": 0.4579817049729637,
8007
+ "eval_iou_unlabeled": NaN,
8008
+ "eval_iou_unsafe": 0.9813271040609544,
8009
+ "eval_loss": 0.08934454619884491,
8010
+ "eval_mean_accuracy": 0.7606688078431286,
8011
+ "eval_mean_iou": 0.7196544045169591,
8012
+ "eval_overall_accuracy": 0.9816171446842934,
8013
+ "eval_runtime": 10.6394,
8014
+ "eval_samples_per_second": 6.297,
8015
+ "eval_steps_per_second": 0.47,
8016
+ "step": 1040
8017
+ },
8018
+ {
8019
+ "epoch": 94.64,
8020
+ "learning_rate": 2.2583732057416267e-07,
8021
+ "loss": 0.0841,
8022
+ "step": 1041
8023
+ },
8024
+ {
8025
+ "epoch": 94.73,
8026
+ "learning_rate": 2.2200956937799042e-07,
8027
+ "loss": 0.0897,
8028
+ "step": 1042
8029
+ },
8030
+ {
8031
+ "epoch": 94.82,
8032
+ "learning_rate": 2.1818181818181815e-07,
8033
+ "loss": 0.0924,
8034
+ "step": 1043
8035
+ },
8036
+ {
8037
+ "epoch": 94.91,
8038
+ "learning_rate": 2.1435406698564593e-07,
8039
+ "loss": 0.0838,
8040
+ "step": 1044
8041
+ },
8042
+ {
8043
+ "epoch": 95.0,
8044
+ "learning_rate": 2.1052631578947366e-07,
8045
+ "loss": 0.1452,
8046
+ "step": 1045
8047
+ },
8048
+ {
8049
+ "epoch": 95.09,
8050
+ "learning_rate": 2.0669856459330142e-07,
8051
+ "loss": 0.0802,
8052
+ "step": 1046
8053
+ },
8054
+ {
8055
+ "epoch": 95.18,
8056
+ "learning_rate": 2.0287081339712917e-07,
8057
+ "loss": 0.0833,
8058
+ "step": 1047
8059
+ },
8060
+ {
8061
+ "epoch": 95.27,
8062
+ "learning_rate": 1.9904306220095693e-07,
8063
+ "loss": 0.0935,
8064
+ "step": 1048
8065
+ },
8066
+ {
8067
+ "epoch": 95.36,
8068
+ "learning_rate": 1.9521531100478466e-07,
8069
+ "loss": 0.092,
8070
+ "step": 1049
8071
+ },
8072
+ {
8073
+ "epoch": 95.45,
8074
+ "learning_rate": 1.9138755980861244e-07,
8075
+ "loss": 0.0927,
8076
+ "step": 1050
8077
+ },
8078
+ {
8079
+ "epoch": 95.45,
8080
+ "eval_accuracy_safe": 0.5318946341764296,
8081
+ "eval_accuracy_unlabeled": NaN,
8082
+ "eval_accuracy_unsafe": 0.9953069684525164,
8083
+ "eval_iou_safe": 0.460839620971486,
8084
+ "eval_iou_unlabeled": NaN,
8085
+ "eval_iou_unsafe": 0.981325103975659,
8086
+ "eval_loss": 0.0893927589058876,
8087
+ "eval_mean_accuracy": 0.763600801314473,
8088
+ "eval_mean_iou": 0.7210823624735725,
8089
+ "eval_overall_accuracy": 0.9816185111430153,
8090
+ "eval_runtime": 10.7038,
8091
+ "eval_samples_per_second": 6.259,
8092
+ "eval_steps_per_second": 0.467,
8093
+ "step": 1050
8094
+ },
8095
+ {
8096
+ "epoch": 95.55,
8097
+ "learning_rate": 1.875598086124402e-07,
8098
+ "loss": 0.0898,
8099
+ "step": 1051
8100
+ },
8101
+ {
8102
+ "epoch": 95.64,
8103
+ "learning_rate": 1.8373205741626793e-07,
8104
+ "loss": 0.0822,
8105
+ "step": 1052
8106
+ },
8107
+ {
8108
+ "epoch": 95.73,
8109
+ "learning_rate": 1.799043062200957e-07,
8110
+ "loss": 0.0802,
8111
+ "step": 1053
8112
+ },
8113
+ {
8114
+ "epoch": 95.82,
8115
+ "learning_rate": 1.7607655502392344e-07,
8116
+ "loss": 0.0901,
8117
+ "step": 1054
8118
+ },
8119
+ {
8120
+ "epoch": 95.91,
8121
+ "learning_rate": 1.722488038277512e-07,
8122
+ "loss": 0.0844,
8123
+ "step": 1055
8124
+ },
8125
+ {
8126
+ "epoch": 96.0,
8127
+ "learning_rate": 1.6842105263157895e-07,
8128
+ "loss": 0.0983,
8129
+ "step": 1056
8130
+ },
8131
+ {
8132
+ "epoch": 96.09,
8133
+ "learning_rate": 1.645933014354067e-07,
8134
+ "loss": 0.0771,
8135
+ "step": 1057
8136
+ },
8137
+ {
8138
+ "epoch": 96.18,
8139
+ "learning_rate": 1.6076555023923443e-07,
8140
+ "loss": 0.0889,
8141
+ "step": 1058
8142
+ },
8143
+ {
8144
+ "epoch": 96.27,
8145
+ "learning_rate": 1.569377990430622e-07,
8146
+ "loss": 0.0886,
8147
+ "step": 1059
8148
+ },
8149
+ {
8150
+ "epoch": 96.36,
8151
+ "learning_rate": 1.5311004784688994e-07,
8152
+ "loss": 0.0808,
8153
+ "step": 1060
8154
+ },
8155
+ {
8156
+ "epoch": 96.36,
8157
+ "eval_accuracy_safe": 0.5443714557769631,
8158
+ "eval_accuracy_unlabeled": NaN,
8159
+ "eval_accuracy_unsafe": 0.9949228640728112,
8160
+ "eval_iou_safe": 0.4665486064879134,
8161
+ "eval_iou_unlabeled": NaN,
8162
+ "eval_iou_unsafe": 0.9813138268480589,
8163
+ "eval_loss": 0.08972165733575821,
8164
+ "eval_mean_accuracy": 0.7696471599248871,
8165
+ "eval_mean_iou": 0.7239312166679861,
8166
+ "eval_overall_accuracy": 0.9816142978952892,
8167
+ "eval_runtime": 10.3014,
8168
+ "eval_samples_per_second": 6.504,
8169
+ "eval_steps_per_second": 0.485,
8170
+ "step": 1060
8171
+ },
8172
+ {
8173
+ "epoch": 96.45,
8174
+ "learning_rate": 1.492822966507177e-07,
8175
+ "loss": 0.0941,
8176
+ "step": 1061
8177
+ },
8178
+ {
8179
+ "epoch": 96.55,
8180
+ "learning_rate": 1.4545454545454545e-07,
8181
+ "loss": 0.0778,
8182
+ "step": 1062
8183
+ },
8184
+ {
8185
+ "epoch": 96.64,
8186
+ "learning_rate": 1.416267942583732e-07,
8187
+ "loss": 0.0859,
8188
+ "step": 1063
8189
+ },
8190
+ {
8191
+ "epoch": 96.73,
8192
+ "learning_rate": 1.3779904306220094e-07,
8193
+ "loss": 0.088,
8194
+ "step": 1064
8195
+ },
8196
+ {
8197
+ "epoch": 96.82,
8198
+ "learning_rate": 1.3397129186602872e-07,
8199
+ "loss": 0.0965,
8200
+ "step": 1065
8201
+ },
8202
+ {
8203
+ "epoch": 96.91,
8204
+ "learning_rate": 1.3014354066985645e-07,
8205
+ "loss": 0.0851,
8206
+ "step": 1066
8207
+ },
8208
+ {
8209
+ "epoch": 97.0,
8210
+ "learning_rate": 1.263157894736842e-07,
8211
+ "loss": 0.0796,
8212
+ "step": 1067
8213
+ },
8214
+ {
8215
+ "epoch": 97.09,
8216
+ "learning_rate": 1.2248803827751196e-07,
8217
+ "loss": 0.0824,
8218
+ "step": 1068
8219
+ },
8220
+ {
8221
+ "epoch": 97.18,
8222
+ "learning_rate": 1.1866028708133971e-07,
8223
+ "loss": 0.0888,
8224
+ "step": 1069
8225
+ },
8226
+ {
8227
+ "epoch": 97.27,
8228
+ "learning_rate": 1.1483253588516746e-07,
8229
+ "loss": 0.0924,
8230
+ "step": 1070
8231
+ },
8232
+ {
8233
+ "epoch": 97.27,
8234
+ "eval_accuracy_safe": 0.5445140920813721,
8235
+ "eval_accuracy_unlabeled": NaN,
8236
+ "eval_accuracy_unsafe": 0.9949591800360061,
8237
+ "eval_iou_safe": 0.467148540982468,
8238
+ "eval_iou_unlabeled": NaN,
8239
+ "eval_iou_unsafe": 0.9813538483225048,
8240
+ "eval_loss": 0.08921775221824646,
8241
+ "eval_mean_accuracy": 0.7697366360586891,
8242
+ "eval_mean_iou": 0.7242511946524864,
8243
+ "eval_overall_accuracy": 0.9816537543908873,
8244
+ "eval_runtime": 10.3063,
8245
+ "eval_samples_per_second": 6.501,
8246
+ "eval_steps_per_second": 0.485,
8247
+ "step": 1070
8248
+ },
8249
+ {
8250
+ "epoch": 97.36,
8251
+ "learning_rate": 1.1100478468899521e-07,
8252
+ "loss": 0.0956,
8253
+ "step": 1071
8254
+ },
8255
+ {
8256
+ "epoch": 97.45,
8257
+ "learning_rate": 1.0717703349282297e-07,
8258
+ "loss": 0.0877,
8259
+ "step": 1072
8260
+ },
8261
+ {
8262
+ "epoch": 97.55,
8263
+ "learning_rate": 1.0334928229665071e-07,
8264
+ "loss": 0.0832,
8265
+ "step": 1073
8266
+ },
8267
+ {
8268
+ "epoch": 97.64,
8269
+ "learning_rate": 9.952153110047846e-08,
8270
+ "loss": 0.0835,
8271
+ "step": 1074
8272
+ },
8273
+ {
8274
+ "epoch": 97.73,
8275
+ "learning_rate": 9.569377990430622e-08,
8276
+ "loss": 0.0937,
8277
+ "step": 1075
8278
+ },
8279
+ {
8280
+ "epoch": 97.82,
8281
+ "learning_rate": 9.186602870813396e-08,
8282
+ "loss": 0.0927,
8283
+ "step": 1076
8284
+ },
8285
+ {
8286
+ "epoch": 97.91,
8287
+ "learning_rate": 8.803827751196172e-08,
8288
+ "loss": 0.0843,
8289
+ "step": 1077
8290
+ },
8291
+ {
8292
+ "epoch": 98.0,
8293
+ "learning_rate": 8.421052631578947e-08,
8294
+ "loss": 0.0938,
8295
+ "step": 1078
8296
+ },
8297
+ {
8298
+ "epoch": 98.09,
8299
+ "learning_rate": 8.038277511961722e-08,
8300
+ "loss": 0.076,
8301
+ "step": 1079
8302
+ },
8303
+ {
8304
+ "epoch": 98.18,
8305
+ "learning_rate": 7.655502392344497e-08,
8306
+ "loss": 0.08,
8307
+ "step": 1080
8308
+ },
8309
+ {
8310
+ "epoch": 98.18,
8311
+ "eval_accuracy_safe": 0.5522068149313225,
8312
+ "eval_accuracy_unlabeled": NaN,
8313
+ "eval_accuracy_unsafe": 0.9947004507990275,
8314
+ "eval_iou_safe": 0.47031842030955523,
8315
+ "eval_iou_unlabeled": NaN,
8316
+ "eval_iou_unsafe": 0.9813252894196396,
8317
+ "eval_loss": 0.08840107917785645,
8318
+ "eval_mean_accuracy": 0.773453632865175,
8319
+ "eval_mean_iou": 0.7258218548645974,
8320
+ "eval_overall_accuracy": 0.9816298982990321,
8321
+ "eval_runtime": 10.2975,
8322
+ "eval_samples_per_second": 6.506,
8323
+ "eval_steps_per_second": 0.486,
8324
+ "step": 1080
8325
+ },
8326
+ {
8327
+ "epoch": 98.27,
8328
+ "learning_rate": 7.623604465709728e-07,
8329
+ "loss": 0.0914,
8330
+ "step": 1081
8331
+ },
8332
+ {
8333
+ "epoch": 98.36,
8334
+ "learning_rate": 7.59170653907496e-07,
8335
+ "loss": 0.0874,
8336
+ "step": 1082
8337
+ },
8338
+ {
8339
+ "epoch": 98.45,
8340
+ "learning_rate": 7.55980861244019e-07,
8341
+ "loss": 0.0843,
8342
+ "step": 1083
8343
+ },
8344
+ {
8345
+ "epoch": 98.55,
8346
+ "learning_rate": 7.527910685805422e-07,
8347
+ "loss": 0.1002,
8348
+ "step": 1084
8349
+ },
8350
+ {
8351
+ "epoch": 98.64,
8352
+ "learning_rate": 7.496012759170654e-07,
8353
+ "loss": 0.0806,
8354
+ "step": 1085
8355
+ },
8356
+ {
8357
+ "epoch": 98.73,
8358
+ "learning_rate": 7.464114832535885e-07,
8359
+ "loss": 0.083,
8360
+ "step": 1086
8361
+ },
8362
+ {
8363
+ "epoch": 98.82,
8364
+ "learning_rate": 7.432216905901116e-07,
8365
+ "loss": 0.0939,
8366
+ "step": 1087
8367
+ },
8368
+ {
8369
+ "epoch": 98.91,
8370
+ "learning_rate": 7.400318979266348e-07,
8371
+ "loss": 0.0848,
8372
+ "step": 1088
8373
+ },
8374
+ {
8375
+ "epoch": 99.0,
8376
+ "learning_rate": 7.368421052631578e-07,
8377
+ "loss": 0.0988,
8378
+ "step": 1089
8379
+ },
8380
+ {
8381
+ "epoch": 99.09,
8382
+ "learning_rate": 7.33652312599681e-07,
8383
+ "loss": 0.0798,
8384
+ "step": 1090
8385
+ },
8386
+ {
8387
+ "epoch": 99.09,
8388
+ "eval_accuracy_safe": 0.5744522958662457,
8389
+ "eval_accuracy_unlabeled": NaN,
8390
+ "eval_accuracy_unsafe": 0.9939207429624181,
8391
+ "eval_iou_safe": 0.47881822943276425,
8392
+ "eval_iou_unlabeled": NaN,
8393
+ "eval_iou_unsafe": 0.981211506959408,
8394
+ "eval_loss": 0.08804704993963242,
8395
+ "eval_mean_accuracy": 0.7841865194143318,
8396
+ "eval_mean_iou": 0.7300148681960861,
8397
+ "eval_overall_accuracy": 0.9815303176196654,
8398
+ "eval_runtime": 11.4661,
8399
+ "eval_samples_per_second": 5.843,
8400
+ "eval_steps_per_second": 0.436,
8401
+ "step": 1090
8402
+ },
8403
+ {
8404
+ "epoch": 99.18,
8405
+ "learning_rate": 7.304625199362042e-07,
8406
+ "loss": 0.0884,
8407
+ "step": 1091
8408
+ },
8409
+ {
8410
+ "epoch": 99.27,
8411
+ "learning_rate": 7.272727272727272e-07,
8412
+ "loss": 0.0952,
8413
+ "step": 1092
8414
+ },
8415
+ {
8416
+ "epoch": 99.36,
8417
+ "learning_rate": 7.240829346092504e-07,
8418
+ "loss": 0.0898,
8419
+ "step": 1093
8420
+ },
8421
+ {
8422
+ "epoch": 99.45,
8423
+ "learning_rate": 7.208931419457734e-07,
8424
+ "loss": 0.0869,
8425
+ "step": 1094
8426
+ },
8427
+ {
8428
+ "epoch": 99.55,
8429
+ "learning_rate": 7.177033492822966e-07,
8430
+ "loss": 0.0888,
8431
+ "step": 1095
8432
+ },
8433
+ {
8434
+ "epoch": 99.64,
8435
+ "learning_rate": 7.145135566188198e-07,
8436
+ "loss": 0.0848,
8437
+ "step": 1096
8438
+ },
8439
+ {
8440
+ "epoch": 99.73,
8441
+ "learning_rate": 7.113237639553429e-07,
8442
+ "loss": 0.0948,
8443
+ "step": 1097
8444
+ },
8445
+ {
8446
+ "epoch": 99.82,
8447
+ "learning_rate": 7.08133971291866e-07,
8448
+ "loss": 0.0869,
8449
+ "step": 1098
8450
+ },
8451
+ {
8452
+ "epoch": 99.91,
8453
+ "learning_rate": 7.049441786283892e-07,
8454
+ "loss": 0.0823,
8455
+ "step": 1099
8456
+ },
8457
+ {
8458
+ "epoch": 100.0,
8459
+ "learning_rate": 7.017543859649122e-07,
8460
+ "loss": 0.0789,
8461
+ "step": 1100
8462
+ },
8463
+ {
8464
+ "epoch": 100.0,
8465
+ "eval_accuracy_safe": 0.5383267604982248,
8466
+ "eval_accuracy_unlabeled": NaN,
8467
+ "eval_accuracy_unsafe": 0.9951786598717289,
8468
+ "eval_iou_safe": 0.46471519066326555,
8469
+ "eval_iou_unlabeled": NaN,
8470
+ "eval_iou_unsafe": 0.9813880326396756,
8471
+ "eval_loss": 0.08767610043287277,
8472
+ "eval_mean_accuracy": 0.7667527101849769,
8473
+ "eval_mean_iou": 0.7230516116514706,
8474
+ "eval_overall_accuracy": 0.981683987290112,
8475
+ "eval_runtime": 11.409,
8476
+ "eval_samples_per_second": 5.873,
8477
+ "eval_steps_per_second": 0.438,
8478
+ "step": 1100
8479
+ },
8480
+ {
8481
+ "epoch": 100.09,
8482
+ "learning_rate": 6.985645933014354e-07,
8483
+ "loss": 0.0888,
8484
+ "step": 1101
8485
+ },
8486
+ {
8487
+ "epoch": 100.18,
8488
+ "learning_rate": 6.953748006379585e-07,
8489
+ "loss": 0.0914,
8490
+ "step": 1102
8491
+ },
8492
+ {
8493
+ "epoch": 100.27,
8494
+ "learning_rate": 6.921850079744816e-07,
8495
+ "loss": 0.09,
8496
+ "step": 1103
8497
+ },
8498
+ {
8499
+ "epoch": 100.36,
8500
+ "learning_rate": 6.889952153110048e-07,
8501
+ "loss": 0.0899,
8502
+ "step": 1104
8503
+ },
8504
+ {
8505
+ "epoch": 100.45,
8506
+ "learning_rate": 6.858054226475278e-07,
8507
+ "loss": 0.0832,
8508
+ "step": 1105
8509
+ },
8510
+ {
8511
+ "epoch": 100.55,
8512
+ "learning_rate": 6.82615629984051e-07,
8513
+ "loss": 0.0817,
8514
+ "step": 1106
8515
+ },
8516
+ {
8517
+ "epoch": 100.64,
8518
+ "learning_rate": 6.794258373205742e-07,
8519
+ "loss": 0.0927,
8520
+ "step": 1107
8521
+ },
8522
+ {
8523
+ "epoch": 100.73,
8524
+ "learning_rate": 6.762360446570973e-07,
8525
+ "loss": 0.0877,
8526
+ "step": 1108
8527
+ },
8528
+ {
8529
+ "epoch": 100.82,
8530
+ "learning_rate": 6.730462519936204e-07,
8531
+ "loss": 0.0781,
8532
+ "step": 1109
8533
+ },
8534
+ {
8535
+ "epoch": 100.91,
8536
+ "learning_rate": 6.698564593301435e-07,
8537
+ "loss": 0.0801,
8538
+ "step": 1110
8539
+ },
8540
+ {
8541
+ "epoch": 100.91,
8542
+ "eval_accuracy_safe": 0.5403988419474096,
8543
+ "eval_accuracy_unlabeled": NaN,
8544
+ "eval_accuracy_unsafe": 0.9950662505252321,
8545
+ "eval_iou_safe": 0.4650213883963596,
8546
+ "eval_iou_unlabeled": NaN,
8547
+ "eval_iou_unsafe": 0.9813382152747787,
8548
+ "eval_loss": 0.08850335329771042,
8549
+ "eval_mean_accuracy": 0.7677325462363209,
8550
+ "eval_mean_iou": 0.7231798018355692,
8551
+ "eval_overall_accuracy": 0.9816361042990613,
8552
+ "eval_runtime": 10.9824,
8553
+ "eval_samples_per_second": 6.101,
8554
+ "eval_steps_per_second": 0.455,
8555
+ "step": 1110
8556
+ },
8557
+ {
8558
+ "epoch": 101.0,
8559
+ "learning_rate": 6.666666666666666e-07,
8560
+ "loss": 0.0754,
8561
+ "step": 1111
8562
+ },
8563
+ {
8564
+ "epoch": 101.09,
8565
+ "learning_rate": 6.634768740031898e-07,
8566
+ "loss": 0.1021,
8567
+ "step": 1112
8568
+ },
8569
+ {
8570
+ "epoch": 101.18,
8571
+ "learning_rate": 6.602870813397129e-07,
8572
+ "loss": 0.0887,
8573
+ "step": 1113
8574
+ },
8575
+ {
8576
+ "epoch": 101.27,
8577
+ "learning_rate": 6.57097288676236e-07,
8578
+ "loss": 0.0767,
8579
+ "step": 1114
8580
+ },
8581
+ {
8582
+ "epoch": 101.36,
8583
+ "learning_rate": 6.539074960127592e-07,
8584
+ "loss": 0.0833,
8585
+ "step": 1115
8586
+ },
8587
+ {
8588
+ "epoch": 101.45,
8589
+ "learning_rate": 6.507177033492822e-07,
8590
+ "loss": 0.0823,
8591
+ "step": 1116
8592
+ },
8593
+ {
8594
+ "epoch": 101.55,
8595
+ "learning_rate": 6.475279106858054e-07,
8596
+ "loss": 0.0755,
8597
+ "step": 1117
8598
+ },
8599
+ {
8600
+ "epoch": 101.64,
8601
+ "learning_rate": 6.443381180223285e-07,
8602
+ "loss": 0.0854,
8603
+ "step": 1118
8604
+ },
8605
+ {
8606
+ "epoch": 101.73,
8607
+ "learning_rate": 6.411483253588517e-07,
8608
+ "loss": 0.0954,
8609
+ "step": 1119
8610
+ },
8611
+ {
8612
+ "epoch": 101.82,
8613
+ "learning_rate": 6.379585326953748e-07,
8614
+ "loss": 0.1043,
8615
+ "step": 1120
8616
+ },
8617
+ {
8618
+ "epoch": 101.82,
8619
+ "eval_accuracy_safe": 0.5444524115173033,
8620
+ "eval_accuracy_unlabeled": NaN,
8621
+ "eval_accuracy_unsafe": 0.9949533718286454,
8622
+ "eval_iou_safe": 0.46701916765456225,
8623
+ "eval_iou_unlabeled": NaN,
8624
+ "eval_iou_unsafe": 0.9813463023513723,
8625
+ "eval_loss": 0.08907562494277954,
8626
+ "eval_mean_accuracy": 0.7697028916729743,
8627
+ "eval_mean_iou": 0.7241827350029673,
8628
+ "eval_overall_accuracy": 0.9816462958036963,
8629
+ "eval_runtime": 11.3992,
8630
+ "eval_samples_per_second": 5.878,
8631
+ "eval_steps_per_second": 0.439,
8632
+ "step": 1120
8633
+ },
8634
+ {
8635
+ "epoch": 101.91,
8636
+ "learning_rate": 6.347687400318978e-07,
8637
+ "loss": 0.0852,
8638
+ "step": 1121
8639
+ },
8640
+ {
8641
+ "epoch": 102.0,
8642
+ "learning_rate": 6.31578947368421e-07,
8643
+ "loss": 0.0792,
8644
+ "step": 1122
8645
+ },
8646
+ {
8647
+ "epoch": 102.09,
8648
+ "learning_rate": 6.283891547049442e-07,
8649
+ "loss": 0.0905,
8650
+ "step": 1123
8651
+ },
8652
+ {
8653
+ "epoch": 102.18,
8654
+ "learning_rate": 6.251993620414673e-07,
8655
+ "loss": 0.0972,
8656
+ "step": 1124
8657
+ },
8658
+ {
8659
+ "epoch": 102.27,
8660
+ "learning_rate": 6.220095693779904e-07,
8661
+ "loss": 0.0834,
8662
+ "step": 1125
8663
+ },
8664
+ {
8665
+ "epoch": 102.36,
8666
+ "learning_rate": 6.188197767145135e-07,
8667
+ "loss": 0.0842,
8668
+ "step": 1126
8669
+ },
8670
+ {
8671
+ "epoch": 102.45,
8672
+ "learning_rate": 6.156299840510366e-07,
8673
+ "loss": 0.0846,
8674
+ "step": 1127
8675
+ },
8676
+ {
8677
+ "epoch": 102.55,
8678
+ "learning_rate": 6.124401913875598e-07,
8679
+ "loss": 0.0834,
8680
+ "step": 1128
8681
+ },
8682
+ {
8683
+ "epoch": 102.64,
8684
+ "learning_rate": 6.092503987240829e-07,
8685
+ "loss": 0.0795,
8686
+ "step": 1129
8687
+ },
8688
+ {
8689
+ "epoch": 102.73,
8690
+ "learning_rate": 6.060606060606061e-07,
8691
+ "loss": 0.0893,
8692
+ "step": 1130
8693
+ },
8694
+ {
8695
+ "epoch": 102.73,
8696
+ "eval_accuracy_safe": 0.5507804518872325,
8697
+ "eval_accuracy_unlabeled": NaN,
8698
+ "eval_accuracy_unsafe": 0.9948580937604247,
8699
+ "eval_iou_safe": 0.4711820527830224,
8700
+ "eval_iou_unlabeled": NaN,
8701
+ "eval_iou_unsafe": 0.981438776536642,
8702
+ "eval_loss": 0.08820891380310059,
8703
+ "eval_mean_accuracy": 0.7728192728238286,
8704
+ "eval_mean_iou": 0.7263104146598323,
8705
+ "eval_overall_accuracy": 0.9817407522628556,
8706
+ "eval_runtime": 12.0444,
8707
+ "eval_samples_per_second": 5.563,
8708
+ "eval_steps_per_second": 0.415,
8709
+ "step": 1130
8710
+ },
8711
+ {
8712
+ "epoch": 102.82,
8713
+ "learning_rate": 6.028708133971292e-07,
8714
+ "loss": 0.0951,
8715
+ "step": 1131
8716
+ },
8717
+ {
8718
+ "epoch": 102.91,
8719
+ "learning_rate": 5.996810207336522e-07,
8720
+ "loss": 0.0853,
8721
+ "step": 1132
8722
+ },
8723
+ {
8724
+ "epoch": 103.0,
8725
+ "learning_rate": 5.964912280701754e-07,
8726
+ "loss": 0.0829,
8727
+ "step": 1133
8728
+ },
8729
+ {
8730
+ "epoch": 103.09,
8731
+ "learning_rate": 5.933014354066985e-07,
8732
+ "loss": 0.0838,
8733
+ "step": 1134
8734
+ },
8735
+ {
8736
+ "epoch": 103.18,
8737
+ "learning_rate": 5.901116427432217e-07,
8738
+ "loss": 0.0821,
8739
+ "step": 1135
8740
+ },
8741
+ {
8742
+ "epoch": 103.27,
8743
+ "learning_rate": 5.869218500797448e-07,
8744
+ "loss": 0.0806,
8745
+ "step": 1136
8746
+ },
8747
+ {
8748
+ "epoch": 103.36,
8749
+ "learning_rate": 5.837320574162679e-07,
8750
+ "loss": 0.0811,
8751
+ "step": 1137
8752
+ },
8753
+ {
8754
+ "epoch": 103.45,
8755
+ "learning_rate": 5.80542264752791e-07,
8756
+ "loss": 0.0919,
8757
+ "step": 1138
8758
+ },
8759
+ {
8760
+ "epoch": 103.55,
8761
+ "learning_rate": 5.773524720893142e-07,
8762
+ "loss": 0.0899,
8763
+ "step": 1139
8764
+ },
8765
+ {
8766
+ "epoch": 103.64,
8767
+ "learning_rate": 5.741626794258373e-07,
8768
+ "loss": 0.0923,
8769
+ "step": 1140
8770
+ },
8771
+ {
8772
+ "epoch": 103.64,
8773
+ "eval_accuracy_safe": 0.5047667510919387,
8774
+ "eval_accuracy_unlabeled": NaN,
8775
+ "eval_accuracy_unsafe": 0.9959674026975662,
8776
+ "eval_iou_safe": 0.4457149081674856,
8777
+ "eval_iou_unlabeled": NaN,
8778
+ "eval_iou_unsafe": 0.9811774792573293,
8779
+ "eval_loss": 0.08923192322254181,
8780
+ "eval_mean_accuracy": 0.7503670768947525,
8781
+ "eval_mean_iou": 0.7134461937124075,
8782
+ "eval_overall_accuracy": 0.9814581230505189,
8783
+ "eval_runtime": 10.9437,
8784
+ "eval_samples_per_second": 6.122,
8785
+ "eval_steps_per_second": 0.457,
8786
+ "step": 1140
8787
+ },
8788
+ {
8789
+ "epoch": 103.73,
8790
+ "learning_rate": 5.709728867623605e-07,
8791
+ "loss": 0.0795,
8792
+ "step": 1141
8793
+ },
8794
+ {
8795
+ "epoch": 103.82,
8796
+ "learning_rate": 5.677830940988835e-07,
8797
+ "loss": 0.0974,
8798
+ "step": 1142
8799
+ },
8800
+ {
8801
+ "epoch": 103.91,
8802
+ "learning_rate": 5.645933014354066e-07,
8803
+ "loss": 0.0907,
8804
+ "step": 1143
8805
+ },
8806
+ {
8807
+ "epoch": 104.0,
8808
+ "learning_rate": 5.614035087719298e-07,
8809
+ "loss": 0.076,
8810
+ "step": 1144
8811
+ },
8812
+ {
8813
+ "epoch": 104.09,
8814
+ "learning_rate": 5.582137161084529e-07,
8815
+ "loss": 0.0903,
8816
+ "step": 1145
8817
+ },
8818
+ {
8819
+ "epoch": 104.18,
8820
+ "learning_rate": 5.550239234449761e-07,
8821
+ "loss": 0.0754,
8822
+ "step": 1146
8823
+ },
8824
+ {
8825
+ "epoch": 104.27,
8826
+ "learning_rate": 5.518341307814992e-07,
8827
+ "loss": 0.0926,
8828
+ "step": 1147
8829
+ },
8830
+ {
8831
+ "epoch": 104.36,
8832
+ "learning_rate": 5.486443381180223e-07,
8833
+ "loss": 0.1003,
8834
+ "step": 1148
8835
+ },
8836
+ {
8837
+ "epoch": 104.45,
8838
+ "learning_rate": 5.454545454545454e-07,
8839
+ "loss": 0.0765,
8840
+ "step": 1149
8841
+ },
8842
+ {
8843
+ "epoch": 104.55,
8844
+ "learning_rate": 5.422647527910685e-07,
8845
+ "loss": 0.0915,
8846
+ "step": 1150
8847
+ },
8848
+ {
8849
+ "epoch": 104.55,
8850
+ "eval_accuracy_safe": 0.5646065358267701,
8851
+ "eval_accuracy_unlabeled": NaN,
8852
+ "eval_accuracy_unsafe": 0.9944255289839521,
8853
+ "eval_iou_safe": 0.47720822784603906,
8854
+ "eval_iou_unlabeled": NaN,
8855
+ "eval_iou_unsafe": 0.981419487272367,
8856
+ "eval_loss": 0.08839142322540283,
8857
+ "eval_mean_accuracy": 0.7795160324053612,
8858
+ "eval_mean_iou": 0.7293138575592031,
8859
+ "eval_overall_accuracy": 0.9817293651068388,
8860
+ "eval_runtime": 10.7972,
8861
+ "eval_samples_per_second": 6.205,
8862
+ "eval_steps_per_second": 0.463,
8863
+ "step": 1150
8864
+ },
8865
+ {
8866
+ "epoch": 104.64,
8867
+ "learning_rate": 5.390749601275917e-07,
8868
+ "loss": 0.0789,
8869
+ "step": 1151
8870
+ },
8871
+ {
8872
+ "epoch": 104.73,
8873
+ "learning_rate": 5.358851674641149e-07,
8874
+ "loss": 0.0932,
8875
+ "step": 1152
8876
+ },
8877
+ {
8878
+ "epoch": 104.82,
8879
+ "learning_rate": 5.326953748006379e-07,
8880
+ "loss": 0.074,
8881
+ "step": 1153
8882
+ },
8883
+ {
8884
+ "epoch": 104.91,
8885
+ "learning_rate": 5.29505582137161e-07,
8886
+ "loss": 0.0869,
8887
+ "step": 1154
8888
+ },
8889
+ {
8890
+ "epoch": 105.0,
8891
+ "learning_rate": 5.263157894736842e-07,
8892
+ "loss": 0.1051,
8893
+ "step": 1155
8894
+ },
8895
+ {
8896
+ "epoch": 105.09,
8897
+ "learning_rate": 5.231259968102073e-07,
8898
+ "loss": 0.0834,
8899
+ "step": 1156
8900
+ },
8901
+ {
8902
+ "epoch": 105.18,
8903
+ "learning_rate": 5.199362041467305e-07,
8904
+ "loss": 0.0841,
8905
+ "step": 1157
8906
+ },
8907
+ {
8908
+ "epoch": 105.27,
8909
+ "learning_rate": 5.167464114832535e-07,
8910
+ "loss": 0.0824,
8911
+ "step": 1158
8912
+ },
8913
+ {
8914
+ "epoch": 105.36,
8915
+ "learning_rate": 5.135566188197767e-07,
8916
+ "loss": 0.0956,
8917
+ "step": 1159
8918
+ },
8919
+ {
8920
+ "epoch": 105.45,
8921
+ "learning_rate": 5.103668261562998e-07,
8922
+ "loss": 0.0859,
8923
+ "step": 1160
8924
+ },
8925
+ {
8926
+ "epoch": 105.45,
8927
+ "eval_accuracy_safe": 0.5949321706547006,
8928
+ "eval_accuracy_unlabeled": NaN,
8929
+ "eval_accuracy_unsafe": 0.9932461695459144,
8930
+ "eval_iou_safe": 0.4868942453306411,
8931
+ "eval_iou_unlabeled": NaN,
8932
+ "eval_iou_unsafe": 0.981149343645168,
8933
+ "eval_loss": 0.08801957964897156,
8934
+ "eval_mean_accuracy": 0.7940891701003074,
8935
+ "eval_mean_iou": 0.7340217944879046,
8936
+ "eval_overall_accuracy": 0.981480612683652,
8937
+ "eval_runtime": 10.5772,
8938
+ "eval_samples_per_second": 6.334,
8939
+ "eval_steps_per_second": 0.473,
8940
+ "step": 1160
8941
  }
8942
  ],
8943
+ "max_steps": 1320,
8944
+ "num_train_epochs": 120,
8945
+ "total_flos": 1.297055235555459e+19,
8946
  "trial_name": null,
8947
  "trial_params": null
8948
  }
{checkpoint-960 β†’ checkpoint-1160}/training_args.bin RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e88955e6e4644e2a2ac452d82e4be1dbef3f3e51d5314588838187a999f14a95
3
  size 4155
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ae23bbe3b8a1651404377ce26fe1298cc352f8f1264d6758f9fcfb70f034db92
3
  size 4155
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:2601bb908337e9332d695fc58bca8ac8acef751d2e292921006a9e4d8f74ae1a
3
  size 338834121
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c0acdb62cf946477897e481633418947414ac989878fb9786ce2355e27fe05cb
3
  size 338834121
runs/Feb06_01-01-13_robolidar/events.out.tfevents.1707202880.robolidar.926292.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f00002d68b74facba8934ae1117bb7a8e816db6322fb7b0f85bb96ed9ec554b0
3
- size 14142
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d7aede8ca25c5ac9289ce6b4abc4fdba51556e2025060bc47684c00dd1bb515c
3
+ size 23546