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segformer-b3-finetuned-segments-greenhousev7-oct-26

This model is a fine-tuned version of nvidia/mit-b3 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1877
  • Mean Iou: 0.5611
  • Mean Accuracy: 0.7306
  • Overall Accuracy: 0.9590
  • F1 Score: 0.9571
  • Recall: 0.9590
  • Accuracy Unlabeled: nan
  • Accuracy Object: 0.7986
  • Accuracy Road: nan
  • Accuracy Plant: 0.9573
  • Accuracy Iron: 0.7348
  • Accuracy Wood: 0.2613
  • Accuracy Wall: 0.9777
  • Accuracy Raw Road: 0.9905
  • Accuracy Bottom Wall: 0.6139
  • Accuracy Roof: 0.7790
  • Accuracy Grass: 0.1663
  • Accuracy Mulch: 0.9244
  • Accuracy Person: nan
  • Accuracy Tomato: 0.8332
  • Iou Unlabeled: 0.0
  • Iou Object: 0.4507
  • Iou Road: nan
  • Iou Plant: 0.8984
  • Iou Iron: 0.6241
  • Iou Wood: 0.2362
  • Iou Wall: 0.8536
  • Iou Raw Road: 0.9819
  • Iou Bottom Wall: 0.5775
  • Iou Roof: 0.4149
  • Iou Grass: 0.1550
  • Iou Mulch: 0.8699
  • Iou Person: nan
  • Iou Tomato: 0.6710

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
0.3466 0.14 20 0.6268 0.2645 0.3035 0.8941 0.8921 0.8941 nan 0.0 nan 0.9655 0.0 0.0 0.5583 0.9698 0.0190 0.0 0.0 0.8262 nan 0.0 nan 0.0 nan 0.8101 0.0 0.0 0.5144 0.9493 0.0186 0.0 0.0 0.6170 nan 0.0
0.914 0.29 40 0.2950 0.3641 0.4082 0.9312 0.9291 0.9312 nan 0.0 nan 0.9681 0.0 0.0 0.9392 0.9855 0.1642 0.5631 0.0 0.8698 nan 0.0 nan 0.0 nan 0.8575 0.0 0.0 0.7309 0.9645 0.1509 0.4997 0.0 0.8014 nan 0.0
0.1742 0.43 60 0.2492 0.3962 0.4546 0.9378 0.9357 0.9378 nan 0.0 nan 0.9669 0.0838 0.0 0.9376 0.9868 0.3279 0.8091 0.0 0.8886 nan 0.0 nan 0.0 nan 0.8715 0.0828 0.0 0.7588 0.9714 0.2987 0.5746 0.0 0.8010 nan 0.0
0.1598 0.57 80 0.2401 0.4087 0.4544 0.9417 0.9396 0.9417 nan 0.0 nan 0.9637 0.2347 0.0 0.9604 0.9892 0.4306 0.5355 0.0 0.8841 nan 0.0 nan 0.0 nan 0.8761 0.2225 0.0 0.7708 0.9740 0.3262 0.4945 0.0 0.8318 nan 0.0
0.1135 0.71 100 0.2159 0.4208 0.4787 0.9427 0.9406 0.9427 nan 0.0 nan 0.9592 0.3801 0.0 0.9071 0.9896 0.4970 0.6324 0.0 0.9000 nan 0.0 nan 0.0 nan 0.8773 0.3321 0.0 0.7549 0.9751 0.3685 0.4847 0.0 0.8358 nan 0.0
0.2234 0.86 120 0.1996 0.4441 0.5161 0.9466 0.9444 0.9466 nan 0.0 nan 0.9554 0.5044 0.0 0.9205 0.9895 0.5865 0.8090 0.0 0.9117 nan 0.0007 nan 0.0 nan 0.8787 0.4093 0.0 0.7943 0.9763 0.4661 0.5201 0.0 0.8390 nan 0.0007
3.5646 1.0 140 0.2047 0.4018 0.4575 0.9414 0.9393 0.9414 nan 0.0 nan 0.9207 0.5052 0.0 0.8502 0.9846 0.7520 0.0209 0.0 0.9577 nan 0.0414 nan 0.0 nan 0.8642 0.4346 0.0 0.7642 0.9764 0.5021 0.0209 0.0 0.8161 nan 0.0414
0.1235 1.14 160 0.2004 0.4466 0.5066 0.9430 0.9409 0.9430 nan 0.0070 nan 0.9811 0.6109 0.0 0.7665 0.9886 0.8324 0.3634 0.0 0.8627 nan 0.1597 nan 0.0070 nan 0.8652 0.4780 0.0 0.7317 0.9785 0.5124 0.3514 0.0 0.8301 nan 0.1578
0.1218 1.29 180 0.1798 0.4148 0.5011 0.9496 0.9475 0.9496 nan 0.0070 nan 0.9663 0.6280 0.0 0.8972 0.9919 0.6830 0.1464 0.0 0.8909 nan 0.3010 0.0 0.0070 nan 0.8829 0.4950 0.0 0.8071 0.9767 0.5285 0.1457 0.0 0.8443 nan 0.2903
0.1067 1.43 200 0.1801 0.5412 0.6616 0.9507 0.9486 0.9507 nan 0.5220 nan 0.9379 0.5168 0.0067 0.9567 0.9939 0.6200 0.8573 0.0 0.9099 nan 0.9569 nan 0.4329 nan 0.8819 0.4313 0.0067 0.8283 0.9749 0.5446 0.5202 0.0 0.8513 nan 0.4813
0.2548 1.57 220 0.1814 0.5503 0.6276 0.9493 0.9472 0.9493 nan 0.5284 nan 0.9764 0.6101 0.0107 0.8767 0.9896 0.6827 0.6171 0.0 0.8737 nan 0.7380 nan 0.4750 nan 0.8823 0.4745 0.0107 0.7928 0.9781 0.5078 0.4999 0.0 0.8396 nan 0.5921
0.2123 1.71 240 0.1756 0.5733 0.6538 0.9542 0.9520 0.9542 nan 0.6850 nan 0.9518 0.6119 0.0 0.9534 0.9909 0.6611 0.6400 0.0 0.9164 nan 0.7814 nan 0.5538 nan 0.8889 0.4876 0.0 0.8463 0.9779 0.5530 0.5222 0.0 0.8561 nan 0.6201
0.1435 1.86 260 0.2013 0.5163 0.6539 0.9479 0.9458 0.9479 nan 0.6696 nan 0.9357 0.5588 0.0 0.8876 0.9881 0.5916 0.7977 0.0 0.9447 nan 0.8193 nan 0.5431 nan 0.8821 0.4583 0.0 0.7698 0.9788 0.5204 0.0610 0.0 0.8493 nan 0.6168
0.1099 2.0 280 0.2007 0.5021 0.6219 0.9548 0.9527 0.9548 nan 0.6861 nan 0.9652 0.7050 0.0 0.9740 0.9912 0.5738 0.2404 0.0 0.8976 nan 0.8074 0.0 0.5199 nan 0.8888 0.5440 0.0 0.8451 0.9796 0.5387 0.2388 0.0 0.8551 nan 0.6158
0.1319 2.14 300 0.2076 0.4990 0.6731 0.9529 0.9508 0.9529 nan 0.6926 nan 0.9686 0.5591 0.0 0.9729 0.9910 0.5830 0.9698 0.0 0.8832 nan 0.7841 0.0 0.4838 nan 0.8863 0.4826 0.0 0.8257 0.9789 0.5426 0.3065 0.0 0.8490 nan 0.6328
0.1619 2.29 320 0.1791 0.4886 0.6026 0.9544 0.9522 0.9544 nan 0.6697 nan 0.9699 0.5102 0.0 0.9720 0.9909 0.6494 0.1724 0.0 0.8889 nan 0.8057 0.0 0.4628 nan 0.8863 0.4391 0.0 0.8483 0.9795 0.5888 0.1697 0.0 0.8516 nan 0.6372
0.0795 2.43 340 0.1715 0.5287 0.6631 0.9559 0.9538 0.9559 nan 0.8129 nan 0.9609 0.6383 0.0 0.9493 0.9907 0.7070 0.5975 0.0 0.9087 nan 0.7293 0.0 0.5015 nan 0.8906 0.5095 0.0 0.8539 0.9795 0.6080 0.5105 0.0 0.8589 nan 0.6323
0.078 2.57 360 0.2003 0.4869 0.6272 0.9536 0.9514 0.9536 nan 0.9025 nan 0.9548 0.6202 0.0 0.9866 0.9871 0.5544 0.6054 0.0 0.9294 nan 0.3593 0.0 0.3769 nan 0.8877 0.5047 0.0 0.8421 0.9800 0.5172 0.5203 0.0 0.8589 nan 0.3550
0.1228 2.71 380 0.1846 0.5075 0.6878 0.9533 0.9512 0.9533 nan 0.8965 nan 0.9641 0.6433 0.0 0.9493 0.9898 0.6567 0.7337 0.0 0.8902 nan 0.8426 0.0 0.3840 nan 0.8879 0.5151 0.0 0.8380 0.9807 0.5297 0.4775 0.0 0.8535 nan 0.6232
0.1107 2.86 400 0.1851 0.4823 0.7142 0.9530 0.9510 0.9530 nan 0.9242 nan 0.9457 0.7217 0.0 0.9503 0.9903 0.5962 0.9362 0.0 0.9187 nan 0.8728 0.0 0.3181 nan 0.8872 0.5642 0.0 0.8345 0.9806 0.5458 0.2155 0.0 0.8575 nan 0.5838
0.1085 3.0 420 0.1718 0.5236 0.6966 0.9554 0.9533 0.9554 nan 0.8536 nan 0.9544 0.6110 0.0 0.9758 0.9902 0.6282 0.8492 0.0 0.9159 nan 0.8846 0.0 0.4364 nan 0.8905 0.5163 0.0 0.8521 0.9805 0.5549 0.5890 0.0 0.8607 nan 0.6030
0.0873 3.14 440 0.1771 0.4963 0.7124 0.9540 0.9519 0.9540 nan 0.8776 nan 0.9388 0.6936 0.0 0.9653 0.9906 0.6004 0.9788 0.0 0.9328 nan 0.8586 0.0 0.3743 nan 0.8868 0.5555 0.0 0.8397 0.9807 0.5588 0.2816 0.0 0.8568 nan 0.6215
0.0936 3.29 460 0.1814 0.5154 0.6980 0.9533 0.9512 0.9533 nan 0.8522 nan 0.9293 0.7087 0.0 0.9680 0.9913 0.6251 0.9447 0.0 0.9387 nan 0.7204 0.0 0.3772 nan 0.8825 0.5643 0.0 0.8488 0.9798 0.5665 0.4810 0.0 0.8485 nan 0.6357
0.0635 3.43 480 0.1915 0.5053 0.6948 0.9548 0.9527 0.9548 nan 0.8887 nan 0.9521 0.8785 0.0 0.9696 0.9926 0.5532 0.8696 0.0 0.9075 nan 0.6316 0.0 0.3470 nan 0.8925 0.6068 0.0 0.8451 0.9798 0.5373 0.4154 0.0 0.8563 nan 0.5835
0.0926 3.57 500 0.1650 0.5100 0.6625 0.9556 0.9537 0.9556 nan 0.7542 nan 0.9537 0.7281 0.0 0.8971 0.9909 0.7813 0.5345 0.0 0.9232 nan 0.7241 0.0 0.4051 nan 0.8937 0.5811 0.0 0.8288 0.9799 0.5975 0.3339 0.0 0.8661 nan 0.6346
0.0594 3.71 520 0.1727 0.5318 0.6845 0.9553 0.9533 0.9553 nan 0.6966 nan 0.9538 0.6689 0.1708 0.9315 0.9910 0.6624 0.7169 0.0 0.9243 nan 0.8132 0.0 0.4080 nan 0.8928 0.5633 0.1708 0.8274 0.9799 0.5514 0.4850 0.0 0.8649 nan 0.6381
0.0882 3.86 540 0.1789 0.5200 0.6646 0.9545 0.9524 0.9545 nan 0.7641 nan 0.9494 0.6624 0.2372 0.9344 0.9893 0.6474 0.3398 0.0 0.9327 nan 0.8544 0.0 0.4389 nan 0.8900 0.5450 0.2372 0.8257 0.9802 0.5298 0.3249 0.0 0.8650 nan 0.6035
0.0754 4.0 560 0.1873 0.5440 0.6654 0.9565 0.9544 0.9565 nan 0.7324 nan 0.9653 0.6935 0.1220 0.9786 0.9911 0.5926 0.6934 0.0 0.9072 nan 0.6433 0.0 0.5182 nan 0.8908 0.5642 0.1220 0.8496 0.9807 0.5557 0.6074 0.0 0.8619 nan 0.5774
0.8611 4.14 580 0.1798 0.5594 0.7440 0.9560 0.9539 0.9560 nan 0.8256 nan 0.9654 0.6905 0.4657 0.9671 0.9905 0.6073 0.8920 0.0016 0.9003 nan 0.8782 0.0 0.4570 nan 0.8916 0.5856 0.4506 0.8452 0.9806 0.5562 0.4268 0.0016 0.8591 nan 0.6591
0.0482 4.29 600 0.1881 0.5538 0.7312 0.9559 0.9538 0.9559 nan 0.7879 nan 0.9372 0.7508 0.4063 0.9662 0.9917 0.6125 0.8767 0.0065 0.9409 nan 0.7660 0.0 0.4941 nan 0.8870 0.6162 0.3691 0.8487 0.9800 0.5648 0.3612 0.0065 0.8620 nan 0.6563
0.0709 4.43 620 0.1914 0.5602 0.7387 0.9565 0.9545 0.9565 nan 0.8133 nan 0.9432 0.6268 0.4374 0.9799 0.9900 0.6105 0.9273 0.0063 0.9422 nan 0.8483 0.0 0.5420 nan 0.8909 0.5470 0.3567 0.8436 0.9813 0.5660 0.4610 0.0063 0.8630 nan 0.6651
0.1201 4.57 640 0.1712 0.5727 0.7454 0.9558 0.9537 0.9558 nan 0.7765 nan 0.9466 0.5908 0.5167 0.9798 0.9883 0.6129 0.9466 0.0033 0.9387 nan 0.8989 0.0 0.5081 nan 0.8900 0.5305 0.5088 0.8480 0.9794 0.5657 0.5558 0.0033 0.8617 nan 0.6216
0.0969 4.71 660 0.1741 0.5403 0.7210 0.9560 0.9540 0.9560 nan 0.8223 nan 0.9543 0.6838 0.1895 0.9805 0.9922 0.6065 0.8429 0.0027 0.9076 nan 0.9484 0.0 0.4959 nan 0.8892 0.5735 0.1893 0.8548 0.9804 0.5715 0.5902 0.0027 0.8650 nan 0.4707
0.0746 4.86 680 0.1769 0.5411 0.7055 0.9567 0.9547 0.9567 nan 0.7651 nan 0.9479 0.6735 0.2252 0.9800 0.9900 0.6130 0.6933 0.0030 0.9335 nan 0.9359 0.0 0.5082 nan 0.8905 0.5676 0.2248 0.8541 0.9811 0.5681 0.4908 0.0030 0.8678 nan 0.5368
0.0689 5.0 700 0.1906 0.5379 0.7134 0.9565 0.9544 0.9565 nan 0.7703 nan 0.9481 0.7673 0.1447 0.9667 0.9906 0.5793 0.8123 0.0015 0.9336 nan 0.9334 0.0 0.5152 nan 0.8899 0.5916 0.1446 0.8499 0.9807 0.5571 0.5136 0.0015 0.8675 nan 0.5436
0.257 5.14 720 0.1951 0.5302 0.7095 0.9545 0.9526 0.9545 nan 0.8505 nan 0.9355 0.7379 0.0903 0.9764 0.9891 0.6039 0.9617 0.0039 0.9434 nan 0.7113 0.0 0.4514 nan 0.8847 0.5987 0.0888 0.8507 0.9794 0.5566 0.4561 0.0039 0.8575 nan 0.6344
0.078 5.29 740 0.1922 0.5094 0.7233 0.9545 0.9527 0.9545 nan 0.9164 nan 0.9553 0.7133 0.1630 0.9552 0.9894 0.6057 0.9829 0.0049 0.9163 nan 0.7542 0.0 0.3053 nan 0.8917 0.5774 0.1625 0.8415 0.9800 0.5570 0.2948 0.0049 0.8629 nan 0.6341
0.0884 5.43 760 0.2010 0.5331 0.7055 0.9556 0.9536 0.9556 nan 0.9282 nan 0.9554 0.6693 0.0825 0.9821 0.9896 0.6174 0.8410 0.0015 0.9140 nan 0.7801 0.0 0.2756 nan 0.8916 0.5668 0.0802 0.8565 0.9814 0.5673 0.6925 0.0014 0.8631 nan 0.6206
0.0854 5.57 780 0.1850 0.5366 0.7186 0.9556 0.9536 0.9556 nan 0.8370 nan 0.9444 0.6835 0.2189 0.9716 0.9922 0.6170 0.9019 0.0013 0.9250 nan 0.8115 0.0 0.3638 nan 0.8893 0.5734 0.2048 0.8525 0.9804 0.5575 0.4912 0.0013 0.8621 nan 0.6627
0.1019 5.71 800 0.1902 0.5381 0.7596 0.9559 0.9539 0.9559 nan 0.8297 nan 0.9540 0.7560 0.5776 0.9636 0.9889 0.5811 0.9607 0.0021 0.9263 nan 0.8160 0.0 0.3791 nan 0.8925 0.6065 0.4194 0.8410 0.9810 0.5573 0.2512 0.0021 0.8636 nan 0.6639
0.0663 5.86 820 0.1798 0.5756 0.7444 0.9571 0.9552 0.9571 nan 0.7684 nan 0.9504 0.6827 0.6757 0.9759 0.9895 0.6072 0.6976 0.0127 0.9345 nan 0.8936 0.0 0.4783 nan 0.8930 0.5878 0.5433 0.8554 0.9802 0.5645 0.4659 0.0121 0.8669 nan 0.6599
0.0867 6.0 840 0.1876 0.5620 0.7323 0.9572 0.9551 0.9572 nan 0.6994 nan 0.9633 0.6614 0.7345 0.9818 0.9884 0.6067 0.5486 0.0231 0.9167 nan 0.9315 0.0 0.4973 nan 0.8941 0.5834 0.4772 0.8537 0.9803 0.5667 0.3765 0.0210 0.8670 nan 0.6264
0.0851 6.14 860 0.1891 0.5529 0.7157 0.9557 0.9537 0.9557 nan 0.6946 nan 0.9614 0.6375 0.5626 0.9894 0.9898 0.6001 0.5568 0.0211 0.9031 nan 0.9566 0.0 0.5005 nan 0.8911 0.5637 0.4196 0.8419 0.9799 0.5542 0.4327 0.0195 0.8635 nan 0.5678
0.0846 6.29 880 0.1743 0.5608 0.7337 0.9566 0.9546 0.9566 nan 0.7020 nan 0.9466 0.7529 0.4292 0.9730 0.9897 0.6163 0.8007 0.0220 0.9332 nan 0.9052 0.0 0.5383 nan 0.8917 0.6231 0.2764 0.8508 0.9795 0.5610 0.4652 0.0203 0.8668 nan 0.6568
0.0508 6.43 900 0.1887 0.5399 0.7751 0.9554 0.9533 0.9554 nan 0.8334 nan 0.9545 0.7853 0.5212 0.9477 0.9877 0.6094 0.9297 0.1135 0.9212 nan 0.9226 0.0 0.4474 nan 0.8940 0.6258 0.3360 0.8353 0.9794 0.5652 0.2190 0.0910 0.8660 nan 0.6200
0.0649 6.57 920 0.2036 0.5736 0.7555 0.9562 0.9542 0.9562 nan 0.8159 nan 0.9599 0.7247 0.4368 0.9853 0.9874 0.5911 0.8897 0.0756 0.9133 nan 0.9308 0.0 0.4635 nan 0.8932 0.6036 0.3094 0.8486 0.9800 0.5577 0.6947 0.0614 0.8655 nan 0.6057
0.0483 6.71 940 0.1851 0.5726 0.7620 0.9565 0.9546 0.9565 nan 0.8332 nan 0.9501 0.7208 0.4052 0.9816 0.9867 0.6021 0.9482 0.0932 0.9344 nan 0.9267 0.0 0.4992 nan 0.8928 0.6106 0.2967 0.8526 0.9798 0.5655 0.6276 0.0780 0.8666 nan 0.6023
0.0528 6.86 960 0.1703 0.5851 0.7253 0.9583 0.9562 0.9583 nan 0.7820 nan 0.9538 0.6818 0.3047 0.9814 0.9925 0.6008 0.9093 0.0227 0.9257 nan 0.8235 0.0 0.5877 nan 0.8957 0.5858 0.3028 0.8545 0.9804 0.5630 0.6824 0.0224 0.8688 nan 0.6777
0.0683 7.0 980 0.1714 0.5775 0.7542 0.9579 0.9561 0.9579 nan 0.8969 nan 0.9498 0.7188 0.4620 0.9848 0.9895 0.5956 0.8654 0.1028 0.9339 nan 0.7964 0.0 0.4175 nan 0.8960 0.6108 0.4277 0.8545 0.9809 0.5634 0.5512 0.1011 0.8693 nan 0.6580
0.0429 7.14 1000 0.1751 0.5632 0.7337 0.9581 0.9561 0.9581 nan 0.8656 nan 0.9574 0.7167 0.3912 0.9778 0.9905 0.6129 0.7990 0.0238 0.9237 nan 0.8120 0.0 0.4219 nan 0.8958 0.6073 0.3634 0.8551 0.9815 0.5670 0.5115 0.0237 0.8699 nan 0.6606
0.0671 7.29 1020 0.1798 0.5617 0.7396 0.9574 0.9554 0.9574 nan 0.8698 nan 0.9493 0.6916 0.4457 0.9813 0.9922 0.6076 0.8032 0.0425 0.9240 nan 0.8290 0.0 0.4088 nan 0.8937 0.5942 0.4176 0.8548 0.9807 0.5673 0.4642 0.0422 0.8678 nan 0.6486
0.0762 7.43 1040 0.1909 0.5393 0.7494 0.9557 0.9538 0.9557 nan 0.8481 nan 0.9584 0.6204 0.4728 0.9698 0.9905 0.6072 0.9137 0.0781 0.9092 nan 0.8753 0.0 0.3825 nan 0.8925 0.5571 0.4293 0.8393 0.9810 0.5646 0.2638 0.0745 0.8620 nan 0.6247
0.1076 7.57 1060 0.1801 0.5409 0.6997 0.9573 0.9553 0.9573 nan 0.6143 nan 0.9520 0.7201 0.1938 0.9661 0.9895 0.6126 0.9211 0.0379 0.9398 nan 0.7494 0.0 0.5324 nan 0.8928 0.5999 0.1884 0.8476 0.9811 0.5688 0.3173 0.0359 0.8679 nan 0.6589
0.0814 7.71 1080 0.1863 0.5516 0.7346 0.9565 0.9549 0.9565 nan 0.7393 nan 0.9679 0.7117 0.2736 0.9695 0.9871 0.6169 0.9227 0.0671 0.9088 nan 0.9162 0.0 0.5661 nan 0.8932 0.5977 0.2521 0.8494 0.9802 0.5709 0.3443 0.0606 0.8643 nan 0.6399
0.0634 7.86 1100 0.1792 0.5708 0.7221 0.9584 0.9564 0.9584 nan 0.6505 nan 0.9534 0.7394 0.3076 0.9848 0.9895 0.5847 0.8325 0.0759 0.9355 nan 0.8890 0.0 0.5410 nan 0.8954 0.6224 0.2904 0.8532 0.9812 0.5642 0.4975 0.0692 0.8703 nan 0.6644
0.0851 8.0 1120 0.1765 0.5582 0.7340 0.9578 0.9560 0.9578 nan 0.6668 nan 0.9668 0.7927 0.2572 0.9629 0.9897 0.6026 0.9542 0.0957 0.9099 nan 0.8752 0.0 0.5309 nan 0.8965 0.6148 0.2427 0.8479 0.9810 0.5753 0.3849 0.0841 0.8677 nan 0.6727
0.0722 8.14 1140 0.1888 0.5290 0.7518 0.9561 0.9542 0.9561 nan 0.8810 nan 0.9580 0.7190 0.3189 0.9555 0.9903 0.6095 0.9859 0.1038 0.9130 nan 0.8351 0.0 0.3816 nan 0.8936 0.6077 0.2898 0.8314 0.9815 0.5748 0.2001 0.0967 0.8673 nan 0.6240
0.0967 8.29 1160 0.1926 0.5562 0.6904 0.9579 0.9558 0.9579 nan 0.7735 nan 0.9519 0.7027 0.3493 0.9863 0.9904 0.6025 0.3384 0.0893 0.9290 nan 0.8814 0.0 0.5172 nan 0.8945 0.6029 0.3046 0.8520 0.9807 0.5743 0.3278 0.0801 0.8678 nan 0.6729
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0.0533 11.71 1640 0.1911 0.5439 0.7376 0.9572 0.9553 0.9572 nan 0.7682 nan 0.9484 0.7345 0.2529 0.9567 0.9890 0.6042 0.9159 0.1597 0.9415 nan 0.8422 0.0 0.5030 nan 0.8954 0.6227 0.2361 0.8364 0.9813 0.5731 0.1944 0.1445 0.8676 nan 0.6728
0.0528 11.86 1660 0.1890 0.5455 0.7351 0.9576 0.9558 0.9576 nan 0.7702 nan 0.9627 0.7145 0.3020 0.9580 0.9895 0.6117 0.8719 0.1478 0.9188 nan 0.8389 0.0 0.4977 nan 0.8974 0.6152 0.2616 0.8390 0.9812 0.5761 0.2025 0.1330 0.8687 nan 0.6737
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0.0512 12.86 1800 0.1900 0.5783 0.7518 0.9599 0.9581 0.9599 nan 0.8026 nan 0.9537 0.7772 0.2533 0.9811 0.9903 0.5993 0.7242 0.3762 0.9275 nan 0.8849 0.0 0.4906 nan 0.9018 0.6425 0.2174 0.8534 0.9816 0.5722 0.4155 0.3435 0.8699 nan 0.6512
0.0421 13.0 1820 0.1928 0.5565 0.7454 0.9588 0.9569 0.9588 nan 0.7985 nan 0.9584 0.7653 0.2222 0.9757 0.9895 0.6037 0.8718 0.2050 0.9229 nan 0.8859 0.0 0.4776 nan 0.8988 0.6367 0.1952 0.8498 0.9817 0.5728 0.3542 0.1882 0.8698 nan 0.6537
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0.032 13.29 1860 0.1883 0.5640 0.7394 0.9592 0.9573 0.9592 nan 0.8135 nan 0.9604 0.7505 0.2539 0.9772 0.9903 0.6071 0.7972 0.2013 0.9197 nan 0.8625 0.0 0.4643 nan 0.8988 0.6312 0.2285 0.8540 0.9820 0.5745 0.4207 0.1888 0.8700 nan 0.6551
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0.0521 13.57 1900 0.1834 0.5655 0.7368 0.9592 0.9573 0.9592 nan 0.8277 nan 0.9605 0.7419 0.2488 0.9782 0.9904 0.6064 0.7633 0.2224 0.9188 nan 0.8459 0.0 0.4414 nan 0.8994 0.6267 0.2323 0.8547 0.9820 0.5743 0.4367 0.2055 0.8692 nan 0.6635
0.1503 13.71 1920 0.1845 0.5674 0.7266 0.9592 0.9572 0.9592 nan 0.8171 nan 0.9575 0.7043 0.2860 0.9817 0.9916 0.6048 0.6717 0.2105 0.9206 nan 0.8468 0.0 0.4544 nan 0.8992 0.6103 0.2694 0.8541 0.9818 0.5737 0.4288 0.1979 0.8689 nan 0.6699
0.0449 13.86 1940 0.1885 0.5601 0.7343 0.9586 0.9567 0.9586 nan 0.8255 nan 0.9510 0.7259 0.2683 0.9801 0.9906 0.6158 0.7628 0.1659 0.9305 nan 0.8614 0.0 0.4431 nan 0.8972 0.6194 0.2425 0.8534 0.9818 0.5760 0.4287 0.1545 0.8694 nan 0.6555
0.0619 14.0 1960 0.1878 0.5608 0.7346 0.9589 0.9569 0.9589 nan 0.8150 nan 0.9573 0.7383 0.2705 0.9773 0.9907 0.6137 0.7896 0.1584 0.9223 nan 0.8472 0.0 0.4424 nan 0.8982 0.6246 0.2471 0.8541 0.9819 0.5771 0.4263 0.1462 0.8697 nan 0.6616
0.0495 14.14 1980 0.1926 0.5598 0.7293 0.9588 0.9568 0.9588 nan 0.8132 nan 0.9576 0.7281 0.2642 0.9801 0.9895 0.6145 0.7367 0.1704 0.9250 nan 0.8428 0.0 0.4416 nan 0.8982 0.6215 0.2334 0.8536 0.9818 0.5755 0.4217 0.1557 0.8697 nan 0.6649
0.0813 14.29 2000 0.1911 0.5633 0.7375 0.9589 0.9570 0.9589 nan 0.8186 nan 0.9536 0.7235 0.2788 0.9793 0.9912 0.6159 0.7638 0.2088 0.9249 nan 0.8545 0.0 0.4412 nan 0.8986 0.6180 0.2555 0.8533 0.9816 0.5771 0.4120 0.1931 0.8697 nan 0.6591
0.0681 14.43 2020 0.1850 0.5607 0.7321 0.9589 0.9570 0.9589 nan 0.8106 nan 0.9583 0.7291 0.2827 0.9769 0.9908 0.6119 0.7725 0.1647 0.9217 nan 0.8345 0.0 0.4432 nan 0.8985 0.6222 0.2570 0.8538 0.9818 0.5770 0.4074 0.1520 0.8697 nan 0.6657
0.0565 14.57 2040 0.1868 0.5621 0.7321 0.9590 0.9570 0.9590 nan 0.8035 nan 0.9581 0.7202 0.2801 0.9772 0.9904 0.6163 0.7766 0.1741 0.9236 nan 0.8329 0.0 0.4519 nan 0.8986 0.6181 0.2518 0.8536 0.9818 0.5776 0.4129 0.1602 0.8699 nan 0.6686
0.0567 14.71 2060 0.1863 0.5545 0.7233 0.9587 0.9568 0.9587 nan 0.8040 nan 0.9577 0.7163 0.2471 0.9765 0.9911 0.6139 0.7941 0.0968 0.9234 nan 0.8356 0.0 0.4536 nan 0.8973 0.6149 0.2315 0.8535 0.9819 0.5780 0.4113 0.0924 0.8695 nan 0.6704
0.0714 14.86 2080 0.1896 0.5643 0.7355 0.9591 0.9572 0.9591 nan 0.8097 nan 0.9567 0.7241 0.2878 0.9790 0.9906 0.6104 0.7773 0.1923 0.9248 nan 0.8379 0.0 0.4510 nan 0.8988 0.6205 0.2588 0.8531 0.9819 0.5768 0.4142 0.1786 0.8698 nan 0.6675
0.0529 15.0 2100 0.1877 0.5611 0.7306 0.9590 0.9571 0.9590 nan 0.7986 nan 0.9573 0.7348 0.2613 0.9777 0.9905 0.6139 0.7790 0.1663 0.9244 nan 0.8332 0.0 0.4507 nan 0.8984 0.6241 0.2362 0.8536 0.9819 0.5775 0.4149 0.1550 0.8699 nan 0.6710

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-b3-finetuned-segments-greenhousev7-oct-26

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nvidia/mit-b3
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