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segformer-b0-finetuned-segments-greenhousev7-oct-26

Image Segmentation
PyTorch
segformer
vision
Generated from Trainer
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segformer-b0-finetuned-segments-greenhousev7-oct-26

This model is a fine-tuned version of nvidia/mit-b0 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1879
  • Mean Iou: 0.4686
  • Mean Accuracy: 0.5106
  • Overall Accuracy: 0.9535
  • F1 Score: 0.9514
  • Recall: 0.9535
  • Accuracy Unlabeled: nan
  • Accuracy Object: 0.0370
  • Accuracy Road: nan
  • Accuracy Plant: 0.9625
  • Accuracy Iron: 0.6122
  • Accuracy Wood: 0.0
  • Accuracy Wall: 0.9814
  • Accuracy Raw Road: 0.9913
  • Accuracy Bottom Wall: 0.5912
  • Accuracy Roof: 0.4666
  • Accuracy Grass: 0.0
  • Accuracy Mulch: 0.9145
  • Accuracy Person: nan
  • Accuracy Tomato: 0.0600
  • Iou Unlabeled: nan
  • Iou Object: 0.0369
  • Iou Road: nan
  • Iou Plant: 0.8832
  • Iou Iron: 0.5054
  • Iou Wood: 0.0
  • Iou Wall: 0.8493
  • Iou Raw Road: 0.9798
  • Iou Bottom Wall: 0.5438
  • Iou Roof: 0.4367
  • Iou Grass: 0.0
  • Iou Mulch: 0.8592
  • Iou Person: nan
  • Iou Tomato: 0.0600

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 6e-05
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 15

Training results

Training Loss Epoch Step Validation Loss Mean Iou Mean Accuracy Overall Accuracy F1 Score Recall Accuracy Unlabeled Accuracy Object Accuracy Road Accuracy Plant Accuracy Iron Accuracy Wood Accuracy Wall Accuracy Raw Road Accuracy Bottom Wall Accuracy Roof Accuracy Grass Accuracy Mulch Accuracy Person Accuracy Tomato Iou Unlabeled Iou Object Iou Road Iou Plant Iou Iron Iou Wood Iou Wall Iou Raw Road Iou Bottom Wall Iou Roof Iou Grass Iou Mulch Iou Person Iou Tomato
1.6596 0.14 20 2.1525 0.1795 0.2802 0.8389 0.8370 0.8389 nan 0.0 nan 0.9392 0.0 0.0 0.3980 0.8889 0.0020 0.0 0.0000 0.8537 nan 0.0 0.0 0.0 0.0 0.7704 0.0 0.0 0.3702 0.8789 0.0020 0.0 0.0000 0.4910 0.0 0.0
1.5293 0.29 40 1.0856 0.2790 0.3305 0.8923 0.8903 0.8923 nan 0.0 nan 0.9546 0.0 0.0 0.9061 0.9375 0.0010 0.0 0.0 0.8363 nan 0.0 nan 0.0 nan 0.7978 0.0 0.0 0.7097 0.9286 0.0009 0.0 0.0 0.6315 nan 0.0
0.8879 0.43 60 0.8185 0.2830 0.3343 0.9026 0.9006 0.9026 nan 0.0 nan 0.9482 0.0 0.0 0.9227 0.9534 0.0013 0.0 0.0 0.8522 nan 0.0 nan 0.0 nan 0.8152 0.0 0.0 0.6864 0.9443 0.0013 0.0 0.0 0.6661 nan 0.0
0.8206 0.57 80 0.7521 0.2882 0.3423 0.9093 0.9072 0.9093 nan 0.0 nan 0.9177 0.0 0.0 0.9820 0.9594 0.0001 0.0 0.0 0.9062 nan 0.0 nan 0.0 nan 0.8245 0.0 0.0 0.6904 0.9503 0.0001 0.0 0.0 0.7047 nan 0.0
0.7352 0.71 100 0.6401 0.2944 0.3436 0.9186 0.9166 0.9186 nan 0.0 nan 0.9468 0.0 0.0 0.9781 0.9698 0.0000 0.0 0.0 0.8853 nan 0.0 nan 0.0 nan 0.8433 0.0 0.0 0.6962 0.9582 0.0000 0.0 0.0 0.7403 nan 0.0
0.7899 0.86 120 0.5717 0.2937 0.3443 0.9178 0.9157 0.9178 nan 0.0 nan 0.9282 0.0 0.0 0.9694 0.9678 0.0002 0.0 0.0 0.9217 nan 0.0 nan 0.0 nan 0.8488 0.0 0.0 0.6949 0.9590 0.0002 0.0 0.0 0.7273 nan 0.0
2.0721 1.0 140 0.4866 0.3037 0.3518 0.9239 0.9218 0.9239 nan 0.0 nan 0.9398 0.0 0.0 0.9691 0.9723 0.0690 0.0 0.0 0.9199 nan 0.0 nan 0.0 nan 0.8553 0.0 0.0 0.6926 0.9632 0.0679 0.0 0.0 0.7612 nan 0.0
0.6149 1.14 160 0.5076 0.3020 0.3476 0.9222 0.9202 0.9222 nan 0.0 nan 0.9772 0.0 0.0 0.9627 0.9694 0.0532 0.0 0.0 0.8612 nan 0.0 nan 0.0 nan 0.8406 0.0 0.0 0.7090 0.9621 0.0526 0.0 0.0 0.7578 nan 0.0
0.4477 1.29 180 0.4217 0.3220 0.3651 0.9309 0.9288 0.9309 nan 0.0 nan 0.9503 0.0 0.0 0.9667 0.9779 0.2063 0.0 0.0 0.9145 nan 0.0 nan 0.0 nan 0.8612 0.0 0.0 0.7308 0.9667 0.1985 0.0 0.0 0.7848 nan 0.0
0.3391 1.43 200 0.4049 0.3156 0.3608 0.9320 0.9300 0.9320 nan 0.0 nan 0.9527 0.0 0.0 0.9872 0.9797 0.1357 0.0 0.0 0.9131 nan 0.0 nan 0.0 nan 0.8696 0.0 0.0 0.7053 0.9697 0.1327 0.0 0.0 0.7949 nan 0.0
0.5233 1.57 220 0.3520 0.3221 0.3642 0.9322 0.9301 0.9322 nan 0.0 nan 0.9769 0.0 0.0 0.9762 0.9784 0.2008 0.0 0.0 0.8743 nan 0.0 nan 0.0 nan 0.8606 0.0 0.0 0.7283 0.9695 0.1948 0.0 0.0 0.7899 nan 0.0
0.3887 1.71 240 0.3348 0.3353 0.3762 0.9370 0.9349 0.9370 nan 0.0 nan 0.9605 0.0 0.0 0.9721 0.9819 0.3135 0.0 0.0 0.9099 nan 0.0 nan 0.0 nan 0.8728 0.0 0.0 0.7449 0.9712 0.2939 0.0 0.0 0.8053 nan 0.0
0.434 1.86 260 0.3334 0.3345 0.3778 0.9362 0.9341 0.9362 nan 0.0 nan 0.9579 0.0 0.0 0.9833 0.9774 0.3153 0.0 0.0 0.9219 nan 0.0 nan 0.0 nan 0.8736 0.0 0.0 0.7386 0.9703 0.2932 0.0 0.0 0.8036 nan 0.0
0.2444 2.0 280 0.2902 0.3372 0.3865 0.9351 0.9330 0.9351 nan 0.0 nan 0.9626 0.0000 0.0 0.8230 0.9832 0.5756 0.0 0.0 0.9072 nan 0.0 nan 0.0 nan 0.8726 0.0000 0.0 0.6885 0.9728 0.3592 0.0 0.0 0.8163 nan 0.0
0.2299 2.14 300 0.2840 0.3485 0.3890 0.9413 0.9392 0.9413 nan 0.0 nan 0.9652 0.0001 0.0 0.9747 0.9864 0.4574 0.0 0.0 0.8950 nan 0.0 nan 0.0 nan 0.8759 0.0001 0.0 0.7694 0.9737 0.3926 0.0 0.0 0.8223 nan 0.0
0.5078 2.29 320 0.2695 0.3397 0.3863 0.9375 0.9354 0.9375 nan 0.0 nan 0.9638 0.0023 0.0 0.8613 0.9846 0.5280 0.0 0.0 0.9092 nan 0.0 nan 0.0 nan 0.8784 0.0023 0.0 0.7045 0.9743 0.3584 0.0 0.0 0.8183 nan 0.0
0.1887 2.43 340 0.2525 0.3436 0.3937 0.9380 0.9359 0.9380 nan 0.0 nan 0.9628 0.0045 0.0 0.8164 0.9878 0.6577 0.0 0.0 0.9011 nan 0.0 nan 0.0 nan 0.8765 0.0045 0.0 0.6926 0.9746 0.4036 0.0 0.0 0.8277 nan 0.0
0.1653 2.57 360 0.2561 0.3501 0.3911 0.9415 0.9394 0.9415 nan 0.0 nan 0.9573 0.0258 0.0 0.9854 0.9833 0.4292 0.0 0.0 0.9211 nan 0.0 nan 0.0 nan 0.8804 0.0258 0.0 0.7676 0.9740 0.3852 0.0 0.0 0.8178 nan 0.0
0.2558 2.71 380 0.2528 0.3487 0.3958 0.9401 0.9380 0.9401 nan 0.0 nan 0.9705 0.0093 0.0 0.8740 0.9858 0.6182 0.0 0.0 0.8957 nan 0.0 nan 0.0 nan 0.8763 0.0093 0.0 0.7425 0.9751 0.4053 0.0 0.0 0.8275 nan 0.0
0.2108 2.86 400 0.2392 0.3703 0.4126 0.9439 0.9418 0.9439 nan 0.0 nan 0.9434 0.1539 0.0 0.9547 0.9871 0.5663 0.0 0.0 0.9330 nan 0.0 nan 0.0 nan 0.8789 0.1497 0.0 0.7956 0.9753 0.4499 0.0 0.0 0.8241 nan 0.0
0.4714 3.0 420 0.2356 0.3641 0.4033 0.9441 0.9420 0.9441 nan 0.0 nan 0.9616 0.1110 0.0 0.9616 0.9879 0.5059 0.0 0.0 0.9085 nan 0.0 nan 0.0 nan 0.8802 0.1094 0.0 0.7852 0.9752 0.4258 0.0 0.0 0.8288 nan 0.0
0.1627 3.14 440 0.2308 0.3671 0.4071 0.9444 0.9423 0.9444 nan 0.0 nan 0.9407 0.0831 0.0 0.9837 0.9865 0.5436 0.0 0.0 0.9401 nan 0.0 nan 0.0 nan 0.8769 0.0823 0.0 0.8036 0.9757 0.4756 0.0 0.0 0.8240 nan 0.0
0.2317 3.29 460 0.2275 0.3755 0.4143 0.9453 0.9432 0.9453 nan 0.0 nan 0.9430 0.1668 0.0 0.9794 0.9868 0.5427 0.0 0.0 0.9385 nan 0.0 nan 0.0 nan 0.8768 0.1622 0.0 0.8062 0.9759 0.4815 0.0 0.0 0.8275 nan 0.0
0.1151 3.43 480 0.2173 0.3756 0.4161 0.9447 0.9426 0.9447 nan 0.0 nan 0.9685 0.2515 0.0 0.9411 0.9874 0.5281 0.0 0.0 0.9006 nan 0.0 nan 0.0 nan 0.8793 0.2358 0.0 0.7736 0.9765 0.4318 0.0 0.0 0.8344 nan 0.0
0.1437 3.57 500 0.2377 0.3661 0.4274 0.9385 0.9364 0.9385 nan 0.0 nan 0.9580 0.2904 0.0 0.6725 0.9898 0.8764 0.0 0.0 0.9146 nan 0.0 nan 0.0 nan 0.8843 0.2646 0.0 0.6361 0.9764 0.4310 0.0 0.0 0.8348 nan 0.0
0.115 3.71 520 0.2251 0.3783 0.4162 0.9464 0.9443 0.9464 nan 0.0 nan 0.9622 0.2591 0.0 0.9871 0.9872 0.4676 0.0 0.0 0.9148 nan 0.0 nan 0.0 nan 0.8838 0.2425 0.0 0.7921 0.9767 0.4327 0.0 0.0 0.8332 nan 0.0
0.1383 3.86 540 0.2172 0.3804 0.4264 0.9443 0.9422 0.9443 nan 0.0 nan 0.9647 0.3091 0.0 0.8735 0.9860 0.6394 0.0 0.0 0.9171 nan 0.0 nan 0.0 nan 0.8818 0.2793 0.0 0.7627 0.9767 0.4496 0.0 0.0 0.8341 nan 0.0
0.1628 4.0 560 0.2143 0.3853 0.4221 0.9476 0.9454 0.9476 nan 0.0 nan 0.9668 0.2776 0.0 0.9774 0.9885 0.5282 0.0 0.0 0.9050 nan 0.0 nan 0.0 nan 0.8791 0.2619 0.0 0.8174 0.9772 0.4639 0.0 0.0 0.8390 nan 0.0
1.2539 4.14 580 0.2137 0.3740 0.4272 0.9424 0.9403 0.9424 nan 0.0 nan 0.9591 0.2666 0.0 0.7834 0.9885 0.7826 0.0 0.0 0.9191 nan 0.0 nan 0.0 nan 0.8821 0.2444 0.0 0.7159 0.9767 0.4551 0.0 0.0 0.8397 nan 0.0
0.0829 4.29 600 0.2101 0.3780 0.4309 0.9435 0.9414 0.9435 nan 0.0 nan 0.9527 0.2830 0.0 0.8213 0.9883 0.7694 0.0 0.0 0.9253 nan 0.0 nan 0.0 nan 0.8812 0.2626 0.0 0.7370 0.9770 0.4574 0.0 0.0 0.8430 nan 0.0
0.1216 4.43 620 0.2116 0.3835 0.4213 0.9474 0.9453 0.9474 nan 0.0 nan 0.9504 0.2847 0.0 0.9899 0.9902 0.4947 0.0 0.0 0.9239 nan 0.0 nan 0.0 nan 0.8818 0.2644 0.0 0.8003 0.9769 0.4548 0.0 0.0 0.8404 nan 0.0
0.1813 4.57 640 0.2029 0.3975 0.4370 0.9488 0.9467 0.9488 nan 0.0 nan 0.9569 0.3785 0.0 0.9660 0.9874 0.5928 0.0 0.0 0.9256 nan 0.0 nan 0.0 nan 0.8806 0.3376 0.0 0.8295 0.9767 0.5058 0.0 0.0 0.8429 nan 0.0
0.1656 4.71 660 0.2056 0.3950 0.4300 0.9490 0.9469 0.9490 nan 0.0 nan 0.9688 0.3253 0.0 0.9777 0.9915 0.5754 0.0 0.0 0.8914 nan 0.0 nan 0.0 nan 0.8791 0.3031 0.0 0.8357 0.9767 0.5100 0.0 0.0 0.8410 nan 0.0
0.1789 4.86 680 0.2065 0.4049 0.4435 0.9501 0.9479 0.9501 nan 0.0 nan 0.9597 0.4684 0.0 0.9809 0.9876 0.5583 0.0 0.0 0.9235 nan 0.0 nan 0.0 nan 0.8828 0.4007 0.0 0.8346 0.9778 0.5171 0.0 0.0 0.8414 nan 0.0
0.1187 5.0 700 0.1991 0.3959 0.4413 0.9471 0.9450 0.9471 nan 0.0 nan 0.9592 0.4892 0.0 0.9071 0.9879 0.5860 0.0 0.0 0.9245 nan 0.0 nan 0.0 nan 0.8803 0.3982 0.0 0.7914 0.9774 0.4645 0.0 0.0 0.8436 nan 0.0
0.626 5.14 720 0.2027 0.3920 0.4439 0.9456 0.9435 0.9456 nan 0.0 nan 0.9613 0.4342 0.0 0.8274 0.9899 0.7585 0.0 0.0 0.9112 nan 0.0 nan 0.0 nan 0.8839 0.3778 0.0 0.7492 0.9776 0.4791 0.0 0.0 0.8439 nan 0.0
0.147 5.29 740 0.2082 0.3953 0.4347 0.9491 0.9470 0.9491 nan 0.0 nan 0.9595 0.4286 0.0 0.9903 0.9893 0.4975 0.0 0.0 0.9164 nan 0.0 nan 0.0 nan 0.8816 0.3728 0.0 0.8145 0.9778 0.4517 0.0 0.0 0.8497 nan 0.0
0.1364 5.43 760 0.2021 0.4018 0.4409 0.9501 0.9480 0.9501 nan 0.0 nan 0.9563 0.4045 0.0 0.9703 0.9889 0.6049 0.0 0.0 0.9253 nan 0.0 nan 0.0 nan 0.8833 0.3563 0.0 0.8371 0.9778 0.5219 0.0 0.0 0.8439 nan 0.0
0.1686 5.57 780 0.2020 0.3860 0.4271 0.9477 0.9456 0.9477 nan 0.0 nan 0.9637 0.3000 0.0 0.9403 0.9886 0.5903 0.0 0.0 0.9155 nan 0.0 nan 0.0 nan 0.8833 0.2749 0.0 0.8023 0.9782 0.4641 0.0 0.0 0.8429 nan 0.0
0.2067 5.71 800 0.2008 0.4073 0.4496 0.9500 0.9479 0.9500 nan 0.0 nan 0.9606 0.5183 0.0 0.9766 0.9863 0.5805 0.0 0.0 0.9228 nan 0.0 nan 0.0 nan 0.8802 0.4203 0.0 0.8381 0.9778 0.5183 0.0 0.0 0.8456 nan 0.0
0.1006 5.86 820 0.2021 0.4044 0.4472 0.9502 0.9480 0.9502 nan 0.0025 nan 0.9496 0.4994 0.0 0.9867 0.9903 0.5657 0.0 0.0 0.9255 nan 0.0 nan 0.0025 nan 0.8818 0.3916 0.0 0.8342 0.9774 0.5109 0.0 0.0 0.8502 nan 0.0
0.1727 6.0 840 0.1984 0.4085 0.4468 0.9507 0.9486 0.9507 nan 0.0 nan 0.9633 0.5097 0.0 0.9782 0.9914 0.5673 0.0 0.0 0.9047 nan 0.0 nan 0.0 nan 0.8799 0.4267 0.0 0.8398 0.9773 0.5179 0.0 0.0 0.8515 nan 0.0
0.1328 6.14 860 0.2080 0.4022 0.4401 0.9497 0.9475 0.9497 nan 0.0 nan 0.9710 0.4251 0.0 0.9881 0.9901 0.5779 0.0 0.0 0.8883 nan 0.0 nan 0.0 nan 0.8763 0.3703 0.0 0.8333 0.9782 0.5187 0.0 0.0 0.8468 nan 0.0
0.1334 6.29 880 0.1971 0.4090 0.4497 0.9506 0.9485 0.9506 nan 0.0 nan 0.9484 0.4975 0.0 0.9731 0.9897 0.6049 0.0 0.0 0.9334 nan 0.0 nan 0.0 nan 0.8801 0.4214 0.0 0.8412 0.9784 0.5298 0.0 0.0 0.8478 nan 0.0
0.083 6.43 900 0.1972 0.4108 0.4501 0.9512 0.9491 0.9512 nan 0.0 nan 0.9655 0.5234 0.0 0.9760 0.9905 0.5903 0.0 0.0 0.9053 nan 0.0 nan 0.0 nan 0.8798 0.4349 0.0 0.8442 0.9784 0.5298 0.0 0.0 0.8521 nan 0.0
0.0972 6.57 920 0.2056 0.4044 0.4450 0.9505 0.9483 0.9505 nan 0.0004 nan 0.9539 0.4516 0.0 0.9836 0.9900 0.5937 0.0 0.0 0.9218 nan 0.0 nan 0.0004 nan 0.8785 0.3783 0.0 0.8393 0.9786 0.5213 0.0 0.0 0.8518 nan 0.0
0.0756 6.71 940 0.1953 0.3957 0.4428 0.9470 0.9449 0.9470 nan 0.0 nan 0.9667 0.5082 0.0 0.8953 0.9867 0.5958 0.0 0.0 0.9177 nan 0.0000 nan 0.0 nan 0.8799 0.4170 0.0 0.7797 0.9782 0.4495 0.0 0.0 0.8485 nan 0.0000
0.0803 6.86 960 0.1937 0.4026 0.4457 0.9495 0.9474 0.9495 nan 0.0 nan 0.9576 0.5142 0.0 0.9401 0.9909 0.5809 0.0 0.0 0.9194 nan 0.0 nan 0.0 nan 0.8855 0.4325 0.0 0.8091 0.9784 0.4761 0.0 0.0 0.8474 nan 0.0
0.1149 7.0 980 0.1990 0.4045 0.4458 0.9505 0.9484 0.9505 nan 0.0 nan 0.9595 0.4988 0.0 0.9785 0.9881 0.5541 0.0 0.0 0.9250 nan 0.0 nan 0.0 nan 0.8853 0.4225 0.0 0.8276 0.9786 0.4878 0.0 0.0 0.8482 nan 0.0
0.0725 7.14 1000 0.2013 0.4107 0.4505 0.9514 0.9493 0.9514 nan 0.0 nan 0.9646 0.5347 0.0 0.9790 0.9896 0.5747 0.0 0.0 0.9125 nan 0.0 nan 0.0 nan 0.8815 0.4412 0.0 0.8425 0.9789 0.5226 0.0 0.0 0.8515 nan 0.0
0.1287 7.29 1020 0.1942 0.4087 0.4465 0.9515 0.9494 0.9515 nan 0.0 nan 0.9596 0.4760 0.0 0.9782 0.9901 0.5861 0.0 0.0 0.9212 nan 0.0 nan 0.0 nan 0.8818 0.4178 0.0 0.8416 0.9789 0.5221 0.0 0.0 0.8532 nan 0.0
0.1374 7.43 1040 0.1975 0.4049 0.4424 0.9512 0.9491 0.9512 nan 0.0 nan 0.9661 0.4277 0.0 0.9841 0.9904 0.5908 0.0 0.0 0.9064 nan 0.0007 nan 0.0 nan 0.8814 0.3834 0.0 0.8367 0.9789 0.5194 0.0 0.0 0.8537 nan 0.0007
0.6602 7.57 1060 0.1964 0.4121 0.4517 0.9516 0.9495 0.9516 nan 0.0 nan 0.9659 0.5234 0.0 0.9699 0.9892 0.5943 0.0113 0.0 0.9147 nan 0.0 nan 0.0 nan 0.8835 0.4346 0.0 0.8437 0.9791 0.5321 0.0112 0.0 0.8491 nan 0.0
0.1374 7.71 1080 0.1966 0.4120 0.4546 0.9516 0.9494 0.9516 nan 0.0 nan 0.9674 0.5673 0.0 0.9818 0.9875 0.5830 0.0 0.0 0.9135 nan 0.0 nan 0.0 nan 0.8833 0.4637 0.0 0.8418 0.9793 0.5120 0.0 0.0 0.8520 nan 0.0
0.12 7.86 1100 0.1934 0.4121 0.4520 0.9518 0.9496 0.9518 nan 0.0 nan 0.9600 0.5588 0.0 0.9805 0.9907 0.5638 0.0 0.0 0.9178 nan 0.0 nan 0.0 nan 0.8842 0.4594 0.0 0.8433 0.9790 0.5181 0.0 0.0 0.8495 nan 0.0
0.1576 8.0 1120 0.1897 0.4064 0.4470 0.9509 0.9488 0.9509 nan 0.0 nan 0.9590 0.4736 0.0 0.9833 0.9868 0.5844 0.0 0.0 0.9297 nan 0.0 nan 0.0 nan 0.8831 0.4011 0.0 0.8433 0.9786 0.5154 0.0 0.0 0.8487 nan 0.0
0.103 8.14 1140 0.1879 0.4141 0.4557 0.9518 0.9496 0.9518 nan 0.0003 nan 0.9658 0.5692 0.0 0.9782 0.9907 0.5863 0.0142 0.0 0.9052 nan 0.0031 nan 0.0003 nan 0.8825 0.4567 0.0 0.8437 0.9788 0.5212 0.0142 0.0 0.8540 nan 0.0031
0.2327 8.29 1160 0.1949 0.4068 0.4455 0.9512 0.9491 0.9512 nan 0.0 nan 0.9513 0.4529 0.0 0.9850 0.9909 0.5929 0.0 0.0 0.9280 nan 0.0 nan 0.0 nan 0.8817 0.3999 0.0 0.8400 0.9785 0.5205 0.0 0.0 0.8538 nan 0.0
0.1801 8.43 1180 0.1934 0.4083 0.4477 0.9516 0.9495 0.9516 nan 0.0 nan 0.9529 0.4636 0.0 0.9837 0.9904 0.6056 0.0 0.0 0.9282 nan 0.0 nan 0.0 nan 0.8816 0.4099 0.0 0.8434 0.9794 0.5219 0.0 0.0 0.8546 nan 0.0
0.0761 8.57 1200 0.1918 0.4147 0.4551 0.9523 0.9501 0.9523 nan 0.0 nan 0.9587 0.5620 0.0 0.9762 0.9910 0.5987 0.0 0.0 0.9190 nan 0.0 nan 0.0 nan 0.8831 0.4655 0.0 0.8438 0.9792 0.5345 0.0 0.0 0.8552 nan 0.0
0.0763 8.71 1220 0.1997 0.4147 0.4541 0.9524 0.9502 0.9524 nan 0.0 nan 0.9623 0.5586 0.0 0.9798 0.9907 0.5883 0.0 0.0 0.9151 nan 0.0 nan 0.0 nan 0.8835 0.4664 0.0 0.8439 0.9793 0.5343 0.0 0.0 0.8542 nan 0.0
0.0955 8.86 1240 0.1978 0.4118 0.4512 0.9520 0.9499 0.9520 nan 0.0 nan 0.9616 0.5352 0.0 0.9867 0.9897 0.5705 0.0003 0.0 0.9192 nan 0.0 nan 0.0 nan 0.8822 0.4494 0.0 0.8416 0.9796 0.5209 0.0003 0.0 0.8555 nan 0.0
0.0936 9.0 1260 0.1962 0.4116 0.4498 0.9520 0.9498 0.9520 nan 0.0 nan 0.9676 0.5162 0.0 0.9837 0.9898 0.5801 0.0012 0.0 0.9090 nan 0.0 nan 0.0 nan 0.8801 0.4370 0.0 0.8423 0.9797 0.5314 0.0012 0.0 0.8557 nan 0.0
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0.1088 11.43 1600 0.1907 0.4598 0.5025 0.9528 0.9506 0.9528 nan 0.0065 nan 0.9600 0.5936 0.0 0.9790 0.9897 0.5928 0.4592 0.0 0.9219 nan 0.0254 nan 0.0065 nan 0.8810 0.4899 0.0 0.8485 0.9796 0.5394 0.4295 0.0 0.8576 nan 0.0254
0.0818 11.57 1620 0.1982 0.4301 0.4709 0.9523 0.9502 0.9523 nan 0.0017 nan 0.9526 0.6068 0.0 0.9829 0.9909 0.5894 0.1184 0.0 0.9262 nan 0.0106 nan 0.0017 nan 0.8791 0.4999 0.0 0.8473 0.9795 0.5390 0.1171 0.0 0.8566 nan 0.0106
0.1446 11.71 1640 0.1944 0.4587 0.5020 0.9528 0.9507 0.9528 nan 0.0 nan 0.9576 0.6376 0.0 0.9815 0.9893 0.5706 0.4518 0.0 0.9280 nan 0.0056 nan 0.0 nan 0.8801 0.5116 0.0 0.8487 0.9798 0.5365 0.4262 0.0 0.8578 nan 0.0056
0.0779 11.86 1660 0.1911 0.4576 0.5000 0.9528 0.9506 0.9528 nan 0.0 nan 0.9655 0.6090 0.0 0.9778 0.9899 0.5948 0.4487 0.0 0.9118 nan 0.0025 nan 0.0 nan 0.8796 0.4976 0.0 0.8498 0.9797 0.5427 0.4237 0.0 0.8585 nan 0.0025
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0.0974 12.29 1720 0.1859 0.4485 0.4888 0.9530 0.9509 0.9530 nan 0.0002 nan 0.9627 0.5865 0.0 0.9807 0.9901 0.5933 0.3284 0.0 0.9181 nan 0.0171 nan 0.0002 nan 0.8820 0.4856 0.0 0.8489 0.9798 0.5451 0.3175 0.0 0.8576 nan 0.0171
0.8994 12.43 1740 0.1905 0.4432 0.4839 0.9529 0.9507 0.9529 nan 0.0073 nan 0.9596 0.6066 0.0 0.9795 0.9911 0.5948 0.2446 0.0 0.9173 nan 0.0223 nan 0.0073 nan 0.8814 0.4967 0.0 0.8482 0.9795 0.5438 0.2378 0.0 0.8579 nan 0.0223
0.0636 12.57 1760 0.1947 0.4347 0.4759 0.9530 0.9509 0.9530 nan 0.0071 nan 0.9588 0.6464 0.0 0.9831 0.9899 0.5734 0.1289 0.0 0.9244 nan 0.0225 nan 0.0071 nan 0.8819 0.5231 0.0 0.8460 0.9799 0.5363 0.1272 0.0 0.8579 nan 0.0225
0.2394 12.71 1780 0.1899 0.4448 0.4848 0.9532 0.9510 0.9532 nan 0.0018 nan 0.9634 0.6072 0.0 0.9778 0.9897 0.5858 0.2651 0.0 0.9206 nan 0.0216 nan 0.0018 nan 0.8826 0.5025 0.0 0.8475 0.9800 0.5416 0.2572 0.0 0.8576 nan 0.0216
0.074 12.86 1800 0.1946 0.4358 0.4762 0.9533 0.9512 0.9533 nan 0.0025 nan 0.9614 0.6409 0.0 0.9849 0.9904 0.5682 0.1401 0.0 0.9202 nan 0.0297 nan 0.0025 nan 0.8834 0.5192 0.0 0.8452 0.9800 0.5365 0.1383 0.0 0.8585 nan 0.0297
0.0917 13.0 1820 0.1937 0.4659 0.5112 0.9533 0.9512 0.9533 nan 0.0088 nan 0.9647 0.6202 0.0 0.9840 0.9901 0.5807 0.5290 0.0 0.9146 nan 0.0316 nan 0.0088 nan 0.8822 0.5067 0.0 0.8469 0.9801 0.5378 0.4710 0.0 0.8595 nan 0.0316
0.5223 13.14 1840 0.1920 0.4678 0.5120 0.9536 0.9514 0.9536 nan 0.0119 nan 0.9607 0.6219 0.0 0.9841 0.9905 0.5822 0.5047 0.0 0.9210 nan 0.0556 nan 0.0119 nan 0.8840 0.5081 0.0 0.8475 0.9801 0.5392 0.4603 0.0 0.8594 nan 0.0556
0.0632 13.29 1860 0.1857 0.4676 0.5119 0.9536 0.9514 0.9536 nan 0.0101 nan 0.9599 0.6178 0.0 0.9779 0.9903 0.5975 0.4939 0.0 0.9235 nan 0.0596 nan 0.0101 nan 0.8839 0.5041 0.0 0.8494 0.9800 0.5429 0.4544 0.0 0.8595 nan 0.0596
0.0981 13.43 1880 0.1854 0.4674 0.5093 0.9536 0.9514 0.9536 nan 0.0532 nan 0.9588 0.5977 0.0 0.9804 0.9909 0.5968 0.4329 0.0 0.9226 nan 0.0694 nan 0.0528 nan 0.8845 0.4945 0.0 0.8491 0.9798 0.5405 0.4116 0.0 0.8594 nan 0.0694
0.1169 13.57 1900 0.1840 0.4690 0.5143 0.9534 0.9513 0.9534 nan 0.0220 nan 0.9641 0.6310 0.0 0.9736 0.9908 0.5919 0.5205 0.0 0.9147 nan 0.0491 nan 0.0220 nan 0.8827 0.5082 0.0 0.8493 0.9799 0.5442 0.4641 0.0 0.8592 nan 0.0491
0.5573 13.71 1920 0.1854 0.4669 0.5102 0.9534 0.9513 0.9534 nan 0.0190 nan 0.9618 0.6220 0.0 0.9775 0.9911 0.5880 0.4948 0.0 0.9173 nan 0.0403 nan 0.0190 nan 0.8825 0.5066 0.0 0.8498 0.9798 0.5450 0.4535 0.0 0.8594 nan 0.0403
0.0812 13.86 1940 0.1901 0.4669 0.5110 0.9532 0.9511 0.9532 nan 0.0217 nan 0.9572 0.6002 0.0 0.9815 0.9894 0.5976 0.4875 0.0 0.9286 nan 0.0567 nan 0.0217 nan 0.8822 0.4966 0.0 0.8492 0.9799 0.5420 0.4485 0.0 0.8590 nan 0.0567
0.1213 14.0 1960 0.1890 0.4689 0.5121 0.9534 0.9513 0.9534 nan 0.0274 nan 0.9640 0.6233 0.0 0.9825 0.9907 0.5886 0.4799 0.0 0.9127 nan 0.0642 nan 0.0273 nan 0.8821 0.5096 0.0 0.8489 0.9800 0.5422 0.4441 0.0 0.8594 nan 0.0642
0.0881 14.14 1980 0.1920 0.4637 0.5059 0.9533 0.9512 0.9533 nan 0.0232 nan 0.9605 0.6157 0.0 0.9843 0.9897 0.5896 0.4243 0.0 0.9221 nan 0.0560 nan 0.0232 nan 0.8819 0.5062 0.0 0.8481 0.9802 0.5403 0.4048 0.0 0.8600 nan 0.0560
0.1365 14.29 2000 0.1878 0.4714 0.5152 0.9535 0.9514 0.9535 nan 0.0443 nan 0.9573 0.6123 0.0 0.9821 0.9908 0.5963 0.4836 0.0 0.9233 nan 0.0771 nan 0.0440 nan 0.8825 0.5036 0.0 0.8490 0.9800 0.5423 0.4466 0.0 0.8603 nan 0.0771
0.1377 14.43 2020 0.1831 0.4680 0.5140 0.9535 0.9513 0.9535 nan 0.0180 nan 0.9631 0.6188 0.0 0.9774 0.9909 0.5863 0.5278 0.0 0.9162 nan 0.0555 nan 0.0180 nan 0.8822 0.5064 0.0 0.8499 0.9800 0.5438 0.4523 0.0 0.8594 nan 0.0555
0.1029 14.57 2040 0.1845 0.4677 0.5109 0.9535 0.9514 0.9535 nan 0.0228 nan 0.9596 0.5981 0.0 0.9786 0.9902 0.5964 0.4924 0.0 0.9248 nan 0.0567 nan 0.0227 nan 0.8833 0.4963 0.0 0.8497 0.9801 0.5437 0.4527 0.0 0.8591 nan 0.0567
0.0932 14.71 2060 0.1851 0.4691 0.5133 0.9536 0.9514 0.9536 nan 0.0228 nan 0.9598 0.6171 0.0 0.9793 0.9913 0.5872 0.5130 0.0 0.9203 nan 0.0560 nan 0.0227 nan 0.8832 0.5070 0.0 0.8498 0.9798 0.5449 0.4580 0.0 0.8591 nan 0.0560
0.1257 14.86 2080 0.1885 0.4687 0.5113 0.9536 0.9514 0.9536 nan 0.0207 nan 0.9585 0.6043 0.0 0.9835 0.9908 0.5851 0.4871 0.0 0.9235 nan 0.0708 nan 0.0207 nan 0.8836 0.5018 0.0 0.8485 0.9799 0.5429 0.4481 0.0 0.8591 nan 0.0708
0.0858 15.0 2100 0.1879 0.4686 0.5106 0.9535 0.9514 0.9535 nan 0.0370 nan 0.9625 0.6122 0.0 0.9814 0.9913 0.5912 0.4666 0.0 0.9145 nan 0.0600 nan 0.0369 nan 0.8832 0.5054 0.0 0.8493 0.9798 0.5438 0.4367 0.0 0.8592 nan 0.0600

Framework versions

  • Transformers 4.33.2
  • Pytorch 2.0.1
  • Datasets 3.0.0
  • Tokenizers 0.13.3
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Model tree for MexicanVanGogh/segformer-b0-finetuned-segments-greenhousev7-oct-26

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nvidia/mit-b0
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