sam1120 commited on
Commit
20e5500
β€’
1 Parent(s): 6d237a3

Training in progress, step 1040

Browse files
{checkpoint-840 β†’ checkpoint-1040}/config.json RENAMED
File without changes
{checkpoint-840 β†’ checkpoint-1040}/optimizer.pt RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:8e31532baef0c9643fe005c536c0347687004fdc391c54810f85e0370d704b6e
3
  size 677531583
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5486c36ae1cb841daecf40103255fb498cfd9640ae00afadb1e83ef0bfa22c2f
3
  size 677531583
{checkpoint-840 β†’ checkpoint-1040}/pytorch_model.bin RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:faa85a24193594f561eaf4b7a883d89b43c34d88ab2d969babe1e16dc42a042e
3
  size 338834121
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3c69b1cc302710e8263dbb5781fa52e0432482f0873ade5a577ea1932d9410b3
3
  size 338834121
{checkpoint-840 β†’ checkpoint-1040}/rng_state.pth RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b5764d72a04802f343a5f5ded5b76aa895052c4413b21dd4746c07289b227ca2
3
  size 14575
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d33419251743d010cd8440f6ad4e7dff79fbd36ce739e68ba6056a0ffa9af817
3
  size 14575
{checkpoint-840 β†’ checkpoint-1040}/scheduler.pt RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:2c3e19923eb56cedd506432df351363c65f9ea6652246f00ce17fb8a27afca8c
3
  size 627
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1cdb3c5711b65c4096e5033515cb9bb8af0eeb6e4c07b5baab90454b8fca8798
3
  size 627
{checkpoint-840 β†’ checkpoint-1040}/trainer_state.json RENAMED
@@ -1,8 +1,8 @@
1
  {
2
- "best_metric": 0.09308235347270966,
3
- "best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/safety-utcustom-train-SF-RGBD-b5/checkpoint-800",
4
- "epoch": 76.36363636363636,
5
- "global_step": 840,
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
8
  "is_world_process_zero": true,
@@ -6474,11 +6474,1551 @@
6474
  "eval_samples_per_second": 6.326,
6475
  "eval_steps_per_second": 0.472,
6476
  "step": 840
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6477
  }
6478
  ],
6479
  "max_steps": 1100,
6480
  "num_train_epochs": 100,
6481
- "total_flos": 9.392771801215402e+18,
6482
  "trial_name": null,
6483
  "trial_params": null
6484
  }
 
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": 94.54545454545455,
5
+ "global_step": 1040,
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
8
  "is_world_process_zero": true,
 
6474
  "eval_samples_per_second": 6.326,
6475
  "eval_steps_per_second": 0.472,
6476
  "step": 840
6477
+ },
6478
+ {
6479
+ "epoch": 76.45,
6480
+ "learning_rate": 9.913875598086124e-07,
6481
+ "loss": 0.0889,
6482
+ "step": 841
6483
+ },
6484
+ {
6485
+ "epoch": 76.55,
6486
+ "learning_rate": 9.875598086124402e-07,
6487
+ "loss": 0.0938,
6488
+ "step": 842
6489
+ },
6490
+ {
6491
+ "epoch": 76.64,
6492
+ "learning_rate": 9.83732057416268e-07,
6493
+ "loss": 0.0828,
6494
+ "step": 843
6495
+ },
6496
+ {
6497
+ "epoch": 76.73,
6498
+ "learning_rate": 9.799043062200957e-07,
6499
+ "loss": 0.0845,
6500
+ "step": 844
6501
+ },
6502
+ {
6503
+ "epoch": 76.82,
6504
+ "learning_rate": 9.760765550239234e-07,
6505
+ "loss": 0.1108,
6506
+ "step": 845
6507
+ },
6508
+ {
6509
+ "epoch": 76.91,
6510
+ "learning_rate": 9.722488038277512e-07,
6511
+ "loss": 0.1016,
6512
+ "step": 846
6513
+ },
6514
+ {
6515
+ "epoch": 77.0,
6516
+ "learning_rate": 9.68421052631579e-07,
6517
+ "loss": 0.1083,
6518
+ "step": 847
6519
+ },
6520
+ {
6521
+ "epoch": 77.09,
6522
+ "learning_rate": 9.645933014354067e-07,
6523
+ "loss": 0.0898,
6524
+ "step": 848
6525
+ },
6526
+ {
6527
+ "epoch": 77.18,
6528
+ "learning_rate": 9.607655502392344e-07,
6529
+ "loss": 0.0927,
6530
+ "step": 849
6531
+ },
6532
+ {
6533
+ "epoch": 77.27,
6534
+ "learning_rate": 9.569377990430622e-07,
6535
+ "loss": 0.0812,
6536
+ "step": 850
6537
+ },
6538
+ {
6539
+ "epoch": 77.27,
6540
+ "eval_accuracy_safe": 0.5278603397828073,
6541
+ "eval_accuracy_unlabeled": NaN,
6542
+ "eval_accuracy_unsafe": 0.9955512065054739,
6543
+ "eval_iou_safe": 0.4605461201989133,
6544
+ "eval_iou_unlabeled": NaN,
6545
+ "eval_iou_unsafe": 0.9814470884642749,
6546
+ "eval_loss": 0.0914885550737381,
6547
+ "eval_mean_accuracy": 0.7617057731441406,
6548
+ "eval_mean_iou": 0.7209966043315941,
6549
+ "eval_overall_accuracy": 0.9817363682077892,
6550
+ "eval_runtime": 11.2224,
6551
+ "eval_samples_per_second": 5.97,
6552
+ "eval_steps_per_second": 0.446,
6553
+ "step": 850
6554
+ },
6555
+ {
6556
+ "epoch": 77.36,
6557
+ "learning_rate": 9.531100478468899e-07,
6558
+ "loss": 0.0892,
6559
+ "step": 851
6560
+ },
6561
+ {
6562
+ "epoch": 77.45,
6563
+ "learning_rate": 9.492822966507177e-07,
6564
+ "loss": 0.0849,
6565
+ "step": 852
6566
+ },
6567
+ {
6568
+ "epoch": 77.55,
6569
+ "learning_rate": 9.454545454545454e-07,
6570
+ "loss": 0.0954,
6571
+ "step": 853
6572
+ },
6573
+ {
6574
+ "epoch": 77.64,
6575
+ "learning_rate": 9.416267942583732e-07,
6576
+ "loss": 0.0844,
6577
+ "step": 854
6578
+ },
6579
+ {
6580
+ "epoch": 77.73,
6581
+ "learning_rate": 9.377990430622009e-07,
6582
+ "loss": 0.1121,
6583
+ "step": 855
6584
+ },
6585
+ {
6586
+ "epoch": 77.82,
6587
+ "learning_rate": 9.339712918660286e-07,
6588
+ "loss": 0.0919,
6589
+ "step": 856
6590
+ },
6591
+ {
6592
+ "epoch": 77.91,
6593
+ "learning_rate": 9.301435406698565e-07,
6594
+ "loss": 0.0836,
6595
+ "step": 857
6596
+ },
6597
+ {
6598
+ "epoch": 78.0,
6599
+ "learning_rate": 9.263157894736841e-07,
6600
+ "loss": 0.0807,
6601
+ "step": 858
6602
+ },
6603
+ {
6604
+ "epoch": 78.09,
6605
+ "learning_rate": 9.224880382775119e-07,
6606
+ "loss": 0.086,
6607
+ "step": 859
6608
+ },
6609
+ {
6610
+ "epoch": 78.18,
6611
+ "learning_rate": 9.186602870813397e-07,
6612
+ "loss": 0.0888,
6613
+ "step": 860
6614
+ },
6615
+ {
6616
+ "epoch": 78.18,
6617
+ "eval_accuracy_safe": 0.5614569720240091,
6618
+ "eval_accuracy_unlabeled": NaN,
6619
+ "eval_accuracy_unsafe": 0.9942326260970619,
6620
+ "eval_iou_safe": 0.4720177732836822,
6621
+ "eval_iou_unlabeled": NaN,
6622
+ "eval_iou_unsafe": 0.9811362811214656,
6623
+ "eval_loss": 0.09153461456298828,
6624
+ "eval_mean_accuracy": 0.7778447990605355,
6625
+ "eval_mean_iou": 0.7265770272025739,
6626
+ "eval_overall_accuracy": 0.9814491271972656,
6627
+ "eval_runtime": 11.0853,
6628
+ "eval_samples_per_second": 6.044,
6629
+ "eval_steps_per_second": 0.451,
6630
+ "step": 860
6631
+ },
6632
+ {
6633
+ "epoch": 78.27,
6634
+ "learning_rate": 9.148325358851674e-07,
6635
+ "loss": 0.0814,
6636
+ "step": 861
6637
+ },
6638
+ {
6639
+ "epoch": 78.36,
6640
+ "learning_rate": 9.110047846889953e-07,
6641
+ "loss": 0.0927,
6642
+ "step": 862
6643
+ },
6644
+ {
6645
+ "epoch": 78.45,
6646
+ "learning_rate": 9.071770334928229e-07,
6647
+ "loss": 0.0965,
6648
+ "step": 863
6649
+ },
6650
+ {
6651
+ "epoch": 78.55,
6652
+ "learning_rate": 9.033492822966507e-07,
6653
+ "loss": 0.0922,
6654
+ "step": 864
6655
+ },
6656
+ {
6657
+ "epoch": 78.64,
6658
+ "learning_rate": 8.995215311004784e-07,
6659
+ "loss": 0.0814,
6660
+ "step": 865
6661
+ },
6662
+ {
6663
+ "epoch": 78.73,
6664
+ "learning_rate": 8.956937799043062e-07,
6665
+ "loss": 0.0859,
6666
+ "step": 866
6667
+ },
6668
+ {
6669
+ "epoch": 78.82,
6670
+ "learning_rate": 8.918660287081338e-07,
6671
+ "loss": 0.0967,
6672
+ "step": 867
6673
+ },
6674
+ {
6675
+ "epoch": 78.91,
6676
+ "learning_rate": 8.880382775119617e-07,
6677
+ "loss": 0.1038,
6678
+ "step": 868
6679
+ },
6680
+ {
6681
+ "epoch": 79.0,
6682
+ "learning_rate": 8.842105263157895e-07,
6683
+ "loss": 0.1504,
6684
+ "step": 869
6685
+ },
6686
+ {
6687
+ "epoch": 79.09,
6688
+ "learning_rate": 8.803827751196172e-07,
6689
+ "loss": 0.09,
6690
+ "step": 870
6691
+ },
6692
+ {
6693
+ "epoch": 79.09,
6694
+ "eval_accuracy_safe": 0.5414493390542057,
6695
+ "eval_accuracy_unlabeled": NaN,
6696
+ "eval_accuracy_unsafe": 0.994825591266709,
6697
+ "eval_iou_safe": 0.46277670968156454,
6698
+ "eval_iou_unlabeled": NaN,
6699
+ "eval_iou_unsafe": 0.9811318145505028,
6700
+ "eval_loss": 0.0920419991016388,
6701
+ "eval_mean_accuracy": 0.7681374651604573,
6702
+ "eval_mean_iou": 0.7219542621160336,
6703
+ "eval_overall_accuracy": 0.9814335837293027,
6704
+ "eval_runtime": 10.1364,
6705
+ "eval_samples_per_second": 6.61,
6706
+ "eval_steps_per_second": 0.493,
6707
+ "step": 870
6708
+ },
6709
+ {
6710
+ "epoch": 79.18,
6711
+ "learning_rate": 8.76555023923445e-07,
6712
+ "loss": 0.0865,
6713
+ "step": 871
6714
+ },
6715
+ {
6716
+ "epoch": 79.27,
6717
+ "learning_rate": 8.727272727272726e-07,
6718
+ "loss": 0.0851,
6719
+ "step": 872
6720
+ },
6721
+ {
6722
+ "epoch": 79.36,
6723
+ "learning_rate": 8.688995215311005e-07,
6724
+ "loss": 0.1074,
6725
+ "step": 873
6726
+ },
6727
+ {
6728
+ "epoch": 79.45,
6729
+ "learning_rate": 8.650717703349282e-07,
6730
+ "loss": 0.0888,
6731
+ "step": 874
6732
+ },
6733
+ {
6734
+ "epoch": 79.55,
6735
+ "learning_rate": 8.61244019138756e-07,
6736
+ "loss": 0.0903,
6737
+ "step": 875
6738
+ },
6739
+ {
6740
+ "epoch": 79.64,
6741
+ "learning_rate": 8.574162679425837e-07,
6742
+ "loss": 0.1036,
6743
+ "step": 876
6744
+ },
6745
+ {
6746
+ "epoch": 79.73,
6747
+ "learning_rate": 8.535885167464114e-07,
6748
+ "loss": 0.0874,
6749
+ "step": 877
6750
+ },
6751
+ {
6752
+ "epoch": 79.82,
6753
+ "learning_rate": 8.497607655502392e-07,
6754
+ "loss": 0.0953,
6755
+ "step": 878
6756
+ },
6757
+ {
6758
+ "epoch": 79.91,
6759
+ "learning_rate": 8.459330143540669e-07,
6760
+ "loss": 0.0881,
6761
+ "step": 879
6762
+ },
6763
+ {
6764
+ "epoch": 80.0,
6765
+ "learning_rate": 8.421052631578947e-07,
6766
+ "loss": 0.1052,
6767
+ "step": 880
6768
+ },
6769
+ {
6770
+ "epoch": 80.0,
6771
+ "eval_accuracy_safe": 0.5866110770582997,
6772
+ "eval_accuracy_unlabeled": NaN,
6773
+ "eval_accuracy_unsafe": 0.9931634465925946,
6774
+ "eval_iou_safe": 0.4790187776431146,
6775
+ "eval_iou_unlabeled": NaN,
6776
+ "eval_iou_unsafe": 0.9808222378260363,
6777
+ "eval_loss": 0.09174863249063492,
6778
+ "eval_mean_accuracy": 0.7898872618254471,
6779
+ "eval_mean_iou": 0.7299205077345754,
6780
+ "eval_overall_accuracy": 0.9811545414711113,
6781
+ "eval_runtime": 11.2146,
6782
+ "eval_samples_per_second": 5.974,
6783
+ "eval_steps_per_second": 0.446,
6784
+ "step": 880
6785
+ },
6786
+ {
6787
+ "epoch": 80.09,
6788
+ "learning_rate": 8.382775119617225e-07,
6789
+ "loss": 0.0942,
6790
+ "step": 881
6791
+ },
6792
+ {
6793
+ "epoch": 80.18,
6794
+ "learning_rate": 8.344497607655502e-07,
6795
+ "loss": 0.0891,
6796
+ "step": 882
6797
+ },
6798
+ {
6799
+ "epoch": 80.27,
6800
+ "learning_rate": 8.30622009569378e-07,
6801
+ "loss": 0.0959,
6802
+ "step": 883
6803
+ },
6804
+ {
6805
+ "epoch": 80.36,
6806
+ "learning_rate": 8.267942583732057e-07,
6807
+ "loss": 0.0924,
6808
+ "step": 884
6809
+ },
6810
+ {
6811
+ "epoch": 80.45,
6812
+ "learning_rate": 8.229665071770334e-07,
6813
+ "loss": 0.1006,
6814
+ "step": 885
6815
+ },
6816
+ {
6817
+ "epoch": 80.55,
6818
+ "learning_rate": 8.191387559808613e-07,
6819
+ "loss": 0.0976,
6820
+ "step": 886
6821
+ },
6822
+ {
6823
+ "epoch": 80.64,
6824
+ "learning_rate": 8.153110047846889e-07,
6825
+ "loss": 0.0775,
6826
+ "step": 887
6827
+ },
6828
+ {
6829
+ "epoch": 80.73,
6830
+ "learning_rate": 8.114832535885167e-07,
6831
+ "loss": 0.09,
6832
+ "step": 888
6833
+ },
6834
+ {
6835
+ "epoch": 80.82,
6836
+ "learning_rate": 8.076555023923445e-07,
6837
+ "loss": 0.0844,
6838
+ "step": 889
6839
+ },
6840
+ {
6841
+ "epoch": 80.91,
6842
+ "learning_rate": 8.038277511961722e-07,
6843
+ "loss": 0.0867,
6844
+ "step": 890
6845
+ },
6846
+ {
6847
+ "epoch": 80.91,
6848
+ "eval_accuracy_safe": 0.5251618151047991,
6849
+ "eval_accuracy_unlabeled": NaN,
6850
+ "eval_accuracy_unsafe": 0.9954841481113997,
6851
+ "eval_iou_safe": 0.45731267225491545,
6852
+ "eval_iou_unlabeled": NaN,
6853
+ "eval_iou_unsafe": 0.9813015215317995,
6854
+ "eval_loss": 0.09118454903364182,
6855
+ "eval_mean_accuracy": 0.7603229816080994,
6856
+ "eval_mean_iou": 0.7193070968933575,
6857
+ "eval_overall_accuracy": 0.9815915805190357,
6858
+ "eval_runtime": 10.9147,
6859
+ "eval_samples_per_second": 6.139,
6860
+ "eval_steps_per_second": 0.458,
6861
+ "step": 890
6862
+ },
6863
+ {
6864
+ "epoch": 81.0,
6865
+ "learning_rate": 8e-07,
6866
+ "loss": 0.0841,
6867
+ "step": 891
6868
+ },
6869
+ {
6870
+ "epoch": 81.09,
6871
+ "learning_rate": 7.961722488038277e-07,
6872
+ "loss": 0.087,
6873
+ "step": 892
6874
+ },
6875
+ {
6876
+ "epoch": 81.18,
6877
+ "learning_rate": 7.923444976076555e-07,
6878
+ "loss": 0.088,
6879
+ "step": 893
6880
+ },
6881
+ {
6882
+ "epoch": 81.27,
6883
+ "learning_rate": 7.885167464114832e-07,
6884
+ "loss": 0.0903,
6885
+ "step": 894
6886
+ },
6887
+ {
6888
+ "epoch": 81.36,
6889
+ "learning_rate": 7.84688995215311e-07,
6890
+ "loss": 0.0988,
6891
+ "step": 895
6892
+ },
6893
+ {
6894
+ "epoch": 81.45,
6895
+ "learning_rate": 7.808612440191386e-07,
6896
+ "loss": 0.0994,
6897
+ "step": 896
6898
+ },
6899
+ {
6900
+ "epoch": 81.55,
6901
+ "learning_rate": 7.770334928229665e-07,
6902
+ "loss": 0.0927,
6903
+ "step": 897
6904
+ },
6905
+ {
6906
+ "epoch": 81.64,
6907
+ "learning_rate": 7.732057416267941e-07,
6908
+ "loss": 0.0986,
6909
+ "step": 898
6910
+ },
6911
+ {
6912
+ "epoch": 81.73,
6913
+ "learning_rate": 7.69377990430622e-07,
6914
+ "loss": 0.0919,
6915
+ "step": 899
6916
+ },
6917
+ {
6918
+ "epoch": 81.82,
6919
+ "learning_rate": 7.655502392344498e-07,
6920
+ "loss": 0.0942,
6921
+ "step": 900
6922
+ },
6923
+ {
6924
+ "epoch": 81.82,
6925
+ "eval_accuracy_safe": 0.509124868446922,
6926
+ "eval_accuracy_unlabeled": NaN,
6927
+ "eval_accuracy_unsafe": 0.9959278599525041,
6928
+ "eval_iou_safe": 0.44904804568428675,
6929
+ "eval_iou_unlabeled": NaN,
6930
+ "eval_iou_unsafe": 0.9812667558907583,
6931
+ "eval_loss": 0.09251971542835236,
6932
+ "eval_mean_accuracy": 0.7525263641997131,
6933
+ "eval_mean_iou": 0.7151574007875225,
6934
+ "eval_overall_accuracy": 0.9815484801335121,
6935
+ "eval_runtime": 10.8337,
6936
+ "eval_samples_per_second": 6.184,
6937
+ "eval_steps_per_second": 0.462,
6938
+ "step": 900
6939
+ },
6940
+ {
6941
+ "epoch": 81.91,
6942
+ "learning_rate": 7.617224880382774e-07,
6943
+ "loss": 0.0811,
6944
+ "step": 901
6945
+ },
6946
+ {
6947
+ "epoch": 82.0,
6948
+ "learning_rate": 7.578947368421053e-07,
6949
+ "loss": 0.0841,
6950
+ "step": 902
6951
+ },
6952
+ {
6953
+ "epoch": 82.09,
6954
+ "learning_rate": 7.540669856459329e-07,
6955
+ "loss": 0.0979,
6956
+ "step": 903
6957
+ },
6958
+ {
6959
+ "epoch": 82.18,
6960
+ "learning_rate": 7.502392344497608e-07,
6961
+ "loss": 0.1012,
6962
+ "step": 904
6963
+ },
6964
+ {
6965
+ "epoch": 82.27,
6966
+ "learning_rate": 7.464114832535885e-07,
6967
+ "loss": 0.1066,
6968
+ "step": 905
6969
+ },
6970
+ {
6971
+ "epoch": 82.36,
6972
+ "learning_rate": 7.425837320574162e-07,
6973
+ "loss": 0.0867,
6974
+ "step": 906
6975
+ },
6976
+ {
6977
+ "epoch": 82.45,
6978
+ "learning_rate": 7.38755980861244e-07,
6979
+ "loss": 0.0837,
6980
+ "step": 907
6981
+ },
6982
+ {
6983
+ "epoch": 82.55,
6984
+ "learning_rate": 7.349282296650717e-07,
6985
+ "loss": 0.0795,
6986
+ "step": 908
6987
+ },
6988
+ {
6989
+ "epoch": 82.64,
6990
+ "learning_rate": 7.311004784688995e-07,
6991
+ "loss": 0.0891,
6992
+ "step": 909
6993
+ },
6994
+ {
6995
+ "epoch": 82.73,
6996
+ "learning_rate": 7.272727272727272e-07,
6997
+ "loss": 0.0917,
6998
+ "step": 910
6999
+ },
7000
+ {
7001
+ "epoch": 82.73,
7002
+ "eval_accuracy_safe": 0.5453968951546062,
7003
+ "eval_accuracy_unlabeled": NaN,
7004
+ "eval_accuracy_unsafe": 0.9949795967649107,
7005
+ "eval_iou_safe": 0.4681753351401616,
7006
+ "eval_iou_unlabeled": NaN,
7007
+ "eval_iou_unsafe": 0.9813999957756329,
7008
+ "eval_loss": 0.09079530835151672,
7009
+ "eval_mean_accuracy": 0.7701882459597584,
7010
+ "eval_mean_iou": 0.7247876654578972,
7011
+ "eval_overall_accuracy": 0.981699644629635,
7012
+ "eval_runtime": 10.5487,
7013
+ "eval_samples_per_second": 6.352,
7014
+ "eval_steps_per_second": 0.474,
7015
+ "step": 910
7016
+ },
7017
+ {
7018
+ "epoch": 82.82,
7019
+ "learning_rate": 7.23444976076555e-07,
7020
+ "loss": 0.0874,
7021
+ "step": 911
7022
+ },
7023
+ {
7024
+ "epoch": 82.91,
7025
+ "learning_rate": 7.196172248803828e-07,
7026
+ "loss": 0.0861,
7027
+ "step": 912
7028
+ },
7029
+ {
7030
+ "epoch": 83.0,
7031
+ "learning_rate": 7.157894736842105e-07,
7032
+ "loss": 0.089,
7033
+ "step": 913
7034
+ },
7035
+ {
7036
+ "epoch": 83.09,
7037
+ "learning_rate": 7.119617224880382e-07,
7038
+ "loss": 0.0823,
7039
+ "step": 914
7040
+ },
7041
+ {
7042
+ "epoch": 83.18,
7043
+ "learning_rate": 7.08133971291866e-07,
7044
+ "loss": 0.0857,
7045
+ "step": 915
7046
+ },
7047
+ {
7048
+ "epoch": 83.27,
7049
+ "learning_rate": 7.043062200956937e-07,
7050
+ "loss": 0.0969,
7051
+ "step": 916
7052
+ },
7053
+ {
7054
+ "epoch": 83.36,
7055
+ "learning_rate": 7.004784688995215e-07,
7056
+ "loss": 0.0893,
7057
+ "step": 917
7058
+ },
7059
+ {
7060
+ "epoch": 83.45,
7061
+ "learning_rate": 6.966507177033493e-07,
7062
+ "loss": 0.0935,
7063
+ "step": 918
7064
+ },
7065
+ {
7066
+ "epoch": 83.55,
7067
+ "learning_rate": 6.92822966507177e-07,
7068
+ "loss": 0.0798,
7069
+ "step": 919
7070
+ },
7071
+ {
7072
+ "epoch": 83.64,
7073
+ "learning_rate": 6.889952153110048e-07,
7074
+ "loss": 0.103,
7075
+ "step": 920
7076
+ },
7077
+ {
7078
+ "epoch": 83.64,
7079
+ "eval_accuracy_safe": 0.5452176360152814,
7080
+ "eval_accuracy_unlabeled": NaN,
7081
+ "eval_accuracy_unsafe": 0.9949149437900465,
7082
+ "eval_iou_safe": 0.46716963182686017,
7083
+ "eval_iou_unlabeled": NaN,
7084
+ "eval_iou_unsafe": 0.9813309439361214,
7085
+ "eval_loss": 0.09115264564752579,
7086
+ "eval_mean_accuracy": 0.770066289902664,
7087
+ "eval_mean_iou": 0.7242502878814908,
7088
+ "eval_overall_accuracy": 0.9816316063724347,
7089
+ "eval_runtime": 10.225,
7090
+ "eval_samples_per_second": 6.553,
7091
+ "eval_steps_per_second": 0.489,
7092
+ "step": 920
7093
+ },
7094
+ {
7095
+ "epoch": 83.73,
7096
+ "learning_rate": 6.851674641148325e-07,
7097
+ "loss": 0.1,
7098
+ "step": 921
7099
+ },
7100
+ {
7101
+ "epoch": 83.82,
7102
+ "learning_rate": 6.813397129186602e-07,
7103
+ "loss": 0.0907,
7104
+ "step": 922
7105
+ },
7106
+ {
7107
+ "epoch": 83.91,
7108
+ "learning_rate": 6.77511961722488e-07,
7109
+ "loss": 0.0999,
7110
+ "step": 923
7111
+ },
7112
+ {
7113
+ "epoch": 84.0,
7114
+ "learning_rate": 6.736842105263158e-07,
7115
+ "loss": 0.0872,
7116
+ "step": 924
7117
+ },
7118
+ {
7119
+ "epoch": 84.09,
7120
+ "learning_rate": 6.698564593301435e-07,
7121
+ "loss": 0.0826,
7122
+ "step": 925
7123
+ },
7124
+ {
7125
+ "epoch": 84.18,
7126
+ "learning_rate": 6.660287081339713e-07,
7127
+ "loss": 0.0842,
7128
+ "step": 926
7129
+ },
7130
+ {
7131
+ "epoch": 84.27,
7132
+ "learning_rate": 6.62200956937799e-07,
7133
+ "loss": 0.0913,
7134
+ "step": 927
7135
+ },
7136
+ {
7137
+ "epoch": 84.36,
7138
+ "learning_rate": 6.583732057416268e-07,
7139
+ "loss": 0.0941,
7140
+ "step": 928
7141
+ },
7142
+ {
7143
+ "epoch": 84.45,
7144
+ "learning_rate": 6.545454545454546e-07,
7145
+ "loss": 0.086,
7146
+ "step": 929
7147
+ },
7148
+ {
7149
+ "epoch": 84.55,
7150
+ "learning_rate": 6.507177033492822e-07,
7151
+ "loss": 0.0939,
7152
+ "step": 930
7153
+ },
7154
+ {
7155
+ "epoch": 84.55,
7156
+ "eval_accuracy_safe": 0.5539396532781292,
7157
+ "eval_accuracy_unlabeled": NaN,
7158
+ "eval_accuracy_unsafe": 0.9946924131787404,
7159
+ "eval_iou_safe": 0.4716882034044076,
7160
+ "eval_iou_unlabeled": NaN,
7161
+ "eval_iou_unsafe": 0.9813684244098391,
7162
+ "eval_loss": 0.09003055095672607,
7163
+ "eval_mean_accuracy": 0.7743160332284348,
7164
+ "eval_mean_iou": 0.7265283139071234,
7165
+ "eval_overall_accuracy": 0.9816732833634562,
7166
+ "eval_runtime": 10.5346,
7167
+ "eval_samples_per_second": 6.36,
7168
+ "eval_steps_per_second": 0.475,
7169
+ "step": 930
7170
+ },
7171
+ {
7172
+ "epoch": 84.64,
7173
+ "learning_rate": 6.468899521531101e-07,
7174
+ "loss": 0.0849,
7175
+ "step": 931
7176
+ },
7177
+ {
7178
+ "epoch": 84.73,
7179
+ "learning_rate": 6.430622009569377e-07,
7180
+ "loss": 0.081,
7181
+ "step": 932
7182
+ },
7183
+ {
7184
+ "epoch": 84.82,
7185
+ "learning_rate": 6.392344497607656e-07,
7186
+ "loss": 0.0905,
7187
+ "step": 933
7188
+ },
7189
+ {
7190
+ "epoch": 84.91,
7191
+ "learning_rate": 6.354066985645932e-07,
7192
+ "loss": 0.0945,
7193
+ "step": 934
7194
+ },
7195
+ {
7196
+ "epoch": 85.0,
7197
+ "learning_rate": 6.31578947368421e-07,
7198
+ "loss": 0.1062,
7199
+ "step": 935
7200
+ },
7201
+ {
7202
+ "epoch": 85.09,
7203
+ "learning_rate": 6.277511961722489e-07,
7204
+ "loss": 0.0886,
7205
+ "step": 936
7206
+ },
7207
+ {
7208
+ "epoch": 85.18,
7209
+ "learning_rate": 6.239234449760765e-07,
7210
+ "loss": 0.0845,
7211
+ "step": 937
7212
+ },
7213
+ {
7214
+ "epoch": 85.27,
7215
+ "learning_rate": 6.200956937799043e-07,
7216
+ "loss": 0.0821,
7217
+ "step": 938
7218
+ },
7219
+ {
7220
+ "epoch": 85.36,
7221
+ "learning_rate": 6.16267942583732e-07,
7222
+ "loss": 0.0914,
7223
+ "step": 939
7224
+ },
7225
+ {
7226
+ "epoch": 85.45,
7227
+ "learning_rate": 6.124401913875598e-07,
7228
+ "loss": 0.0892,
7229
+ "step": 940
7230
+ },
7231
+ {
7232
+ "epoch": 85.45,
7233
+ "eval_accuracy_safe": 0.5329624789418699,
7234
+ "eval_accuracy_unlabeled": NaN,
7235
+ "eval_accuracy_unsafe": 0.9954403812155299,
7236
+ "eval_iou_safe": 0.4635251123181117,
7237
+ "eval_iou_unlabeled": NaN,
7238
+ "eval_iou_unsafe": 0.9814880952587547,
7239
+ "eval_loss": 0.08998803794384003,
7240
+ "eval_mean_accuracy": 0.7642014300786999,
7241
+ "eval_mean_iou": 0.7225066037884332,
7242
+ "eval_overall_accuracy": 0.9817795255290929,
7243
+ "eval_runtime": 10.498,
7244
+ "eval_samples_per_second": 6.382,
7245
+ "eval_steps_per_second": 0.476,
7246
+ "step": 940
7247
+ },
7248
+ {
7249
+ "epoch": 85.55,
7250
+ "learning_rate": 6.086124401913876e-07,
7251
+ "loss": 0.0924,
7252
+ "step": 941
7253
+ },
7254
+ {
7255
+ "epoch": 85.64,
7256
+ "learning_rate": 6.047846889952153e-07,
7257
+ "loss": 0.1009,
7258
+ "step": 942
7259
+ },
7260
+ {
7261
+ "epoch": 85.73,
7262
+ "learning_rate": 6.00956937799043e-07,
7263
+ "loss": 0.0842,
7264
+ "step": 943
7265
+ },
7266
+ {
7267
+ "epoch": 85.82,
7268
+ "learning_rate": 5.971291866028708e-07,
7269
+ "loss": 0.0874,
7270
+ "step": 944
7271
+ },
7272
+ {
7273
+ "epoch": 85.91,
7274
+ "learning_rate": 5.933014354066985e-07,
7275
+ "loss": 0.0853,
7276
+ "step": 945
7277
+ },
7278
+ {
7279
+ "epoch": 86.0,
7280
+ "learning_rate": 5.894736842105262e-07,
7281
+ "loss": 0.0871,
7282
+ "step": 946
7283
+ },
7284
+ {
7285
+ "epoch": 86.09,
7286
+ "learning_rate": 5.856459330143541e-07,
7287
+ "loss": 0.0878,
7288
+ "step": 947
7289
+ },
7290
+ {
7291
+ "epoch": 86.18,
7292
+ "learning_rate": 5.818181818181818e-07,
7293
+ "loss": 0.0898,
7294
+ "step": 948
7295
+ },
7296
+ {
7297
+ "epoch": 86.27,
7298
+ "learning_rate": 5.779904306220096e-07,
7299
+ "loss": 0.083,
7300
+ "step": 949
7301
+ },
7302
+ {
7303
+ "epoch": 86.36,
7304
+ "learning_rate": 5.741626794258373e-07,
7305
+ "loss": 0.0899,
7306
+ "step": 950
7307
+ },
7308
+ {
7309
+ "epoch": 86.36,
7310
+ "eval_accuracy_safe": 0.5755625460194833,
7311
+ "eval_accuracy_unlabeled": NaN,
7312
+ "eval_accuracy_unsafe": 0.9937747750845035,
7313
+ "eval_iou_safe": 0.4778336080395577,
7314
+ "eval_iou_unlabeled": NaN,
7315
+ "eval_iou_unsafe": 0.98110013614213,
7316
+ "eval_loss": 0.09046214818954468,
7317
+ "eval_mean_accuracy": 0.7846686605519935,
7318
+ "eval_mean_iou": 0.7294668720908438,
7319
+ "eval_overall_accuracy": 0.9814214564081448,
7320
+ "eval_runtime": 9.9923,
7321
+ "eval_samples_per_second": 6.705,
7322
+ "eval_steps_per_second": 0.5,
7323
+ "step": 950
7324
+ },
7325
+ {
7326
+ "epoch": 86.45,
7327
+ "learning_rate": 5.70334928229665e-07,
7328
+ "loss": 0.0982,
7329
+ "step": 951
7330
+ },
7331
+ {
7332
+ "epoch": 86.55,
7333
+ "learning_rate": 5.665071770334928e-07,
7334
+ "loss": 0.0898,
7335
+ "step": 952
7336
+ },
7337
+ {
7338
+ "epoch": 86.64,
7339
+ "learning_rate": 5.626794258373205e-07,
7340
+ "loss": 0.0858,
7341
+ "step": 953
7342
+ },
7343
+ {
7344
+ "epoch": 86.73,
7345
+ "learning_rate": 5.588516746411483e-07,
7346
+ "loss": 0.0815,
7347
+ "step": 954
7348
+ },
7349
+ {
7350
+ "epoch": 86.82,
7351
+ "learning_rate": 5.550239234449761e-07,
7352
+ "loss": 0.0875,
7353
+ "step": 955
7354
+ },
7355
+ {
7356
+ "epoch": 86.91,
7357
+ "learning_rate": 5.511961722488037e-07,
7358
+ "loss": 0.0944,
7359
+ "step": 956
7360
+ },
7361
+ {
7362
+ "epoch": 87.0,
7363
+ "learning_rate": 5.473684210526316e-07,
7364
+ "loss": 0.0853,
7365
+ "step": 957
7366
+ },
7367
+ {
7368
+ "epoch": 87.09,
7369
+ "learning_rate": 5.435406698564593e-07,
7370
+ "loss": 0.0874,
7371
+ "step": 958
7372
+ },
7373
+ {
7374
+ "epoch": 87.18,
7375
+ "learning_rate": 5.39712918660287e-07,
7376
+ "loss": 0.0943,
7377
+ "step": 959
7378
+ },
7379
+ {
7380
+ "epoch": 87.27,
7381
+ "learning_rate": 5.358851674641149e-07,
7382
+ "loss": 0.0877,
7383
+ "step": 960
7384
+ },
7385
+ {
7386
+ "epoch": 87.27,
7387
+ "eval_accuracy_safe": 0.5771238352974738,
7388
+ "eval_accuracy_unlabeled": NaN,
7389
+ "eval_accuracy_unsafe": 0.993741803240698,
7390
+ "eval_iou_safe": 0.478699286298987,
7391
+ "eval_iou_unlabeled": NaN,
7392
+ "eval_iou_unsafe": 0.9811136143593967,
7393
+ "eval_loss": 0.0893407091498375,
7394
+ "eval_mean_accuracy": 0.7854328192690859,
7395
+ "eval_mean_iou": 0.7299064503291919,
7396
+ "eval_overall_accuracy": 0.9814355764816056,
7397
+ "eval_runtime": 10.878,
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
  "max_steps": 1100,
8020
  "num_train_epochs": 100,
8021
+ "total_flos": 1.1629982493752426e+19,
8022
  "trial_name": null,
8023
  "trial_params": null
8024
  }
{checkpoint-840 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 sha256:41220f4037590a4506f42957ee3351fe73eed086d2dc3079dae0e69cc295cdfc
3
  size 338834121
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3c69b1cc302710e8263dbb5781fa52e0432482f0873ade5a577ea1932d9410b3
3
  size 338834121
runs/Feb05_23-09-17_robolidar/events.out.tfevents.1707196164.robolidar.781259.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:76ad9b32491a5c0236b0ddb767e4cac6fc1f8a8f22b54ef4f02080dfec5adda4
3
- size 239289
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a5bd5754be1178bdcab657a397587460f42d4aa49003c6323e6aa45da1dccc92
3
+ size 248693