Hugging Face's logo

MexicanVanGogh
/
segformer-b0-finetuned-segments-greenhousev3-sep-23

Image Segmentation
PyTorch
segformer
vision
Generated from Trainer
Model card Files Community
Edit model card

segformer-b0-finetuned-segments-greenhousev3-sep-23

This model is a fine-tuned version of nvidia/mit-b0 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1258
  • Mean Iou: 0.4605
  • Mean Accuracy: 0.5478
  • Overall Accuracy: 0.9636
  • F1 Score: 0.9623
  • Recall: 0.9636
  • Accuracy Unlabeled: nan
  • Accuracy Object: nan
  • Accuracy Road: nan
  • Accuracy Plant: 0.9531
  • Accuracy Iron: 0.6071
  • Accuracy Wood: 0.0
  • Accuracy Wall: 0.9724
  • Accuracy Raw Road: 0.9911
  • Accuracy Bottom Wall: 0.9428
  • Accuracy Roof: 0.0
  • Accuracy Grass: 0.0
  • Accuracy Mulch: 0.9106
  • Accuracy Person: 0.0
  • Accuracy Tomato: 0.6488
  • Iou Unlabeled: nan
  • Iou Object: 0.0
  • Iou Road: nan
  • Iou Plant: 0.9017
  • Iou Iron: 0.5169
  • Iou Wood: 0.0
  • Iou Wall: 0.9039
  • Iou Raw Road: 0.9824
  • Iou Bottom Wall: 0.8235
  • Iou Roof: 0.0
  • Iou Grass: 0.0
  • Iou Mulch: 0.8489
  • Iou Person: 0.0
  • Iou Tomato: 0.5487

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
1.9112 0.14 20 1.9741 0.1572 0.2512 0.8228 0.8216 0.8228 nan nan nan 0.9490 0.0001 0.0 0.1399 0.9057 0.0 0.0 0.0 0.7683 0.0 0.0 0.0 0.0 0.0 0.7392 0.0001 0.0 0.1344 0.8972 0.0 0.0 0.0 0.4300 0.0 0.0
1.2645 0.29 40 1.1237 0.2207 0.2873 0.8661 0.8649 0.8661 nan nan nan 0.9454 0.0 0.0 0.4683 0.9406 0.0000 0.0 0.0 0.8057 0.0 0.0 nan nan 0.0 0.7857 0.0 0.0 0.4260 0.9336 0.0000 0.0 0.0 0.5035 0.0 0.0
0.9822 0.43 60 0.9113 0.2810 0.3322 0.9008 0.8995 0.9008 nan nan nan 0.9478 0.0000 0.0 0.9479 0.9476 0.0002 0.0 0.0 0.8105 0.0 0.0 nan nan nan 0.8061 0.0000 0.0 0.6992 0.9408 0.0002 0.0 0.0 0.6450 0.0 0.0
0.9145 0.57 80 0.8368 0.2810 0.3301 0.9039 0.9026 0.9039 nan nan nan 0.9478 0.0 0.0 0.8947 0.9535 0.0000 0.0 0.0 0.8354 0.0 0.0 nan nan nan 0.8255 0.0 0.0 0.6751 0.9468 0.0000 0.0 0.0 0.6433 0.0 0.0
0.8329 0.71 100 0.7504 0.2880 0.3390 0.9093 0.9080 0.9093 nan nan nan 0.9495 0.0 0.0 0.9721 0.9485 0.0003 0.0 0.0 0.8589 0.0 0.0 nan nan nan 0.8353 0.0 0.0 0.7067 0.9433 0.0003 0.0 0.0 0.6823 0.0 0.0
0.6885 0.86 120 0.6347 0.2927 0.3410 0.9138 0.9125 0.9138 nan nan nan 0.9545 0.0 0.0 0.9460 0.9554 0.0308 0.0 0.0 0.8639 0.0 0.0 nan nan nan 0.8375 0.0 0.0 0.6959 0.9499 0.0306 0.0 0.0 0.7059 0.0 0.0
0.5029 1.0 140 0.5655 0.3029 0.3474 0.9239 0.9226 0.9239 nan nan nan 0.9580 0.0 0.0 0.9636 0.9702 0.0712 0.0 0.0 0.8579 0.0 0.0 nan nan nan 0.8534 0.0 0.0 0.7036 0.9611 0.0702 0.0 0.0 0.7436 0.0 0.0
0.8051 1.14 160 0.4899 0.3099 0.3541 0.9264 0.9251 0.9264 nan nan nan 0.9517 0.0 0.0 0.9662 0.9698 0.1254 0.0 0.0 0.8824 0.0 0.0 nan nan nan 0.8608 0.0 0.0 0.7128 0.9616 0.1227 0.0 0.0 0.7513 0.0 0.0
0.6761 1.29 180 0.4900 0.3194 0.3634 0.9298 0.9285 0.9298 nan nan nan 0.9553 0.0 0.0 0.9757 0.9689 0.2073 0.0 0.0 0.8896 0.0 0.0 nan nan nan 0.8648 0.0 0.0 0.7204 0.9632 0.1947 0.0 0.0 0.7706 0.0 0.0
0.5982 1.43 200 0.4250 0.3234 0.3659 0.9312 0.9299 0.9312 nan nan nan 0.9491 0.0 0.0 0.9651 0.9725 0.2424 0.0 0.0 0.8964 0.0 0.0 nan nan nan 0.8708 0.0 0.0 0.7270 0.9640 0.2324 0.0 0.0 0.7630 0.0 0.0
0.8235 1.57 220 0.3687 0.3410 0.3857 0.9360 0.9347 0.9360 nan nan nan 0.9593 0.0 0.0 0.9553 0.9751 0.4776 0.0 0.0 0.8750 0.0 0.0 nan nan nan 0.8701 0.0 0.0 0.7581 0.9675 0.3710 0.0 0.0 0.7842 0.0 0.0
0.4406 1.71 240 0.3593 0.3327 0.3759 0.9363 0.9349 0.9363 nan nan nan 0.9531 0.0 0.0 0.9844 0.9769 0.3335 0.0 0.0 0.8875 0.0 0.0 nan nan nan 0.8795 0.0 0.0 0.7271 0.9688 0.2938 0.0 0.0 0.7911 0.0 0.0
0.2359 1.86 260 0.3357 0.3587 0.4007 0.9435 0.9422 0.9435 nan nan nan 0.9667 0.0 0.0 0.9348 0.9827 0.6504 0.0 0.0 0.8728 0.0 0.0 nan nan nan 0.8748 0.0 0.0 0.7979 0.9746 0.4986 0.0 0.0 0.8001 0.0 0.0
0.2363 2.0 280 0.2939 0.3543 0.3987 0.9415 0.9402 0.9415 nan nan nan 0.9561 0.0 0.0 0.9519 0.9772 0.6017 0.0 0.0 0.8992 0.0 0.0 nan nan nan 0.8772 0.0 0.0 0.7783 0.9715 0.4691 0.0 0.0 0.8010 0.0 0.0
0.2119 2.14 300 0.2770 0.3654 0.4134 0.9454 0.9441 0.9454 nan nan nan 0.9654 0.0 0.0 0.8936 0.9859 0.8318 0.0 0.0 0.8707 0.0 0.0 nan nan nan 0.8795 0.0 0.0 0.7971 0.9755 0.5584 0.0 0.0 0.8086 0.0 0.0
0.2184 2.29 320 0.2751 0.3506 0.3901 0.9437 0.9423 0.9437 nan nan nan 0.9627 0.0 0.0 0.9732 0.9827 0.4857 0.0 0.0 0.8864 0.0 0.0 nan nan nan 0.8846 0.0 0.0 0.7666 0.9749 0.4209 0.0 0.0 0.8094 0.0 0.0
0.225 2.43 340 0.2479 0.3650 0.4143 0.9464 0.9450 0.9464 nan nan nan 0.9571 0.0 0.0 0.9002 0.9849 0.8195 0.0 0.0 0.8957 0.0 0.0 nan nan nan 0.8833 0.0 0.0 0.8045 0.9763 0.5354 0.0 0.0 0.8159 0.0 0.0
0.1887 2.57 360 0.2312 0.3620 0.4065 0.9474 0.9461 0.9474 nan nan nan 0.9538 0.0001 0.0 0.9399 0.9892 0.6989 0.0 0.0 0.8896 0.0 0.0 nan nan nan 0.8883 0.0001 0.0 0.7901 0.9778 0.5032 0.0 0.0 0.8226 0.0 0.0
0.2127 2.71 380 0.2341 0.3670 0.4158 0.9473 0.9460 0.9473 nan nan nan 0.9455 0.0002 0.0 0.9351 0.9856 0.8006 0.0 0.0 0.9067 0.0 0.0 nan nan nan 0.8880 0.0002 0.0 0.7955 0.9759 0.5573 0.0 0.0 0.8198 0.0 0.0
0.1654 2.86 400 0.2265 0.3737 0.4223 0.9484 0.9471 0.9484 nan nan nan 0.9513 0.0053 0.0 0.9251 0.9838 0.8728 0.0 0.0 0.9070 0.0 0.0 nan nan nan 0.8879 0.0053 0.0 0.8146 0.9750 0.6096 0.0 0.0 0.8182 0.0 0.0
0.731 3.0 420 0.2114 0.3724 0.4229 0.9493 0.9480 0.9493 nan nan nan 0.9536 0.0025 0.0 0.9450 0.9860 0.8744 0.0 0.0 0.8907 0.0 0.0 nan nan nan 0.8890 0.0025 0.0 0.8194 0.9770 0.5852 0.0 0.0 0.8236 0.0 0.0
0.1501 3.14 440 0.2091 0.3786 0.4179 0.9507 0.9494 0.9507 nan nan nan 0.9627 0.0156 0.0 0.9659 0.9872 0.7839 0.0 0.0 0.8818 0.0 0.0 nan nan nan 0.8853 0.0155 0.0 0.8309 0.9779 0.6345 0.0 0.0 0.8206 0.0 0.0
0.1585 3.29 460 0.2390 0.3416 0.4093 0.9361 0.9348 0.9361 nan nan nan 0.9590 0.0439 0.0 0.6686 0.9864 0.9425 0.0 0.0 0.8969 0.0 0.0051 nan nan nan 0.8881 0.0435 0.0 0.6189 0.9785 0.3977 0.0 0.0 0.8261 0.0 0.0051
0.2105 3.43 480 0.2061 0.3814 0.4233 0.9509 0.9495 0.9509 nan nan nan 0.9367 0.0631 0.0 0.9779 0.9873 0.7687 0.0 0.0 0.9230 0.0 0.0 nan nan nan 0.8857 0.0626 0.0 0.8267 0.9784 0.6161 0.0 0.0 0.8259 0.0 0.0
0.1229 3.57 500 0.1864 0.3867 0.4318 0.9526 0.9512 0.9526 nan nan nan 0.9617 0.0969 0.0 0.9250 0.9889 0.8867 0.0 0.0 0.8905 0.0 0.0 nan nan nan 0.8913 0.0954 0.0 0.8283 0.9797 0.6277 0.0 0.0 0.8307 0.0 0.0
0.1553 3.71 520 0.1954 0.3703 0.4155 0.9487 0.9474 0.9487 nan nan nan 0.9510 0.0632 0.0 0.9905 0.9843 0.6810 0.0 0.0 0.9001 0.0 0.0 nan nan nan 0.8905 0.0623 0.0 0.7974 0.9772 0.5145 0.0 0.0 0.8310 0.0 0.0
0.578 3.86 540 0.1826 0.3876 0.4362 0.9533 0.9519 0.9533 nan nan nan 0.9446 0.0772 0.0 0.9396 0.9894 0.9350 0.0 0.0 0.9122 0.0 0.0 nan nan nan 0.8928 0.0763 0.0 0.8385 0.9790 0.6404 0.0 0.0 0.8366 0.0 0.0
0.5982 4.0 560 0.1771 0.4063 0.4438 0.9543 0.9529 0.9543 nan nan nan 0.9626 0.2019 0.0 0.9714 0.9835 0.8634 0.0 0.0 0.8991 0.0 0.0 nan nan nan 0.8923 0.1915 0.0 0.8596 0.9764 0.7260 0.0 0.0 0.8240 0.0 0.0
0.1359 4.14 580 0.1831 0.3907 0.4422 0.9508 0.9495 0.9508 nan nan nan 0.9595 0.2320 0.0 0.8736 0.9873 0.9020 0.0 0.0 0.9007 0.0 0.0092 nan nan nan 0.8924 0.2194 0.0 0.7962 0.9795 0.5664 0.0 0.0 0.8346 0.0 0.0092
0.1658 4.29 600 0.1707 0.4067 0.4408 0.9561 0.9547 0.9561 nan nan nan 0.9534 0.1985 0.0 0.9843 0.9900 0.8034 0.0 0.0 0.9041 0.0 0.0151 nan nan nan 0.8930 0.1902 0.0 0.8456 0.9803 0.7104 0.0 0.0 0.8386 0.0 0.0151
0.1875 4.43 620 0.1697 0.4141 0.4478 0.9573 0.9560 0.9573 nan nan nan 0.9614 0.2537 0.0 0.9822 0.9897 0.8284 0.0 0.0 0.8945 0.0 0.0158 nan nan nan 0.8957 0.2344 0.0 0.8569 0.9805 0.7332 0.0 0.0 0.8387 0.0 0.0158
0.2031 4.57 640 0.1722 0.4202 0.4635 0.9569 0.9555 0.9569 nan nan nan 0.9609 0.2956 0.0 0.9354 0.9870 0.9444 0.0 0.0 0.9065 0.0 0.0690 nan nan nan 0.8954 0.2740 0.0 0.8671 0.9798 0.6973 0.0 0.0 0.8391 0.0 0.0690
0.3598 4.71 660 0.1591 0.4121 0.4476 0.9571 0.9557 0.9571 nan nan nan 0.9570 0.2598 0.0 0.9834 0.9900 0.8261 0.0 0.0 0.8988 0.0 0.0084 nan nan nan 0.8961 0.2428 0.0 0.8567 0.9801 0.7091 0.0 0.0 0.8396 0.0 0.0084
0.1246 4.86 680 0.1563 0.4341 0.4739 0.9589 0.9575 0.9589 nan nan nan 0.9551 0.4169 0.0 0.9483 0.9893 0.9242 0.0 0.0 0.9107 0.0 0.0684 nan nan nan 0.8954 0.3565 0.0 0.8790 0.9809 0.7531 0.0 0.0 0.8413 0.0 0.0684
0.1466 5.0 700 0.1606 0.4360 0.4780 0.9576 0.9563 0.9576 nan nan nan 0.9497 0.3199 0.0 0.9667 0.9903 0.9314 0.0 0.0 0.9019 0.0 0.1985 nan nan nan 0.8944 0.2928 0.0 0.8715 0.9804 0.7204 0.0 0.0 0.8384 0.0 0.1977
0.0939 5.14 720 0.1576 0.4318 0.4676 0.9583 0.9569 0.9583 nan nan nan 0.9553 0.3883 0.0 0.9774 0.9906 0.8764 0.0 0.0 0.8950 0.0 0.0604 nan nan nan 0.8955 0.3484 0.0 0.8673 0.9798 0.7602 0.0 0.0 0.8385 0.0 0.0604
0.1259 5.29 740 0.1556 0.4369 0.4734 0.9593 0.9579 0.9593 nan nan nan 0.9518 0.3998 0.0 0.9763 0.9888 0.9027 0.0 0.0 0.9131 0.0 0.0753 nan nan nan 0.8957 0.3566 0.0 0.8757 0.9807 0.7793 0.0 0.0 0.8422 0.0 0.0753
0.2505 5.43 760 0.1541 0.4389 0.4717 0.9599 0.9586 0.9599 nan nan nan 0.9572 0.4771 0.0 0.9725 0.9911 0.8597 0.0 0.0 0.9015 0.0 0.0297 nan nan nan 0.8957 0.4047 0.0 0.8766 0.9812 0.7984 0.0 0.0 0.8420 0.0 0.0297
0.1265 5.57 780 0.1510 0.4383 0.4795 0.9587 0.9573 0.9587 nan nan nan 0.9469 0.3689 0.0 0.9623 0.9903 0.9512 0.0 0.0 0.9116 0.0 0.1431 nan nan nan 0.8954 0.3283 0.0 0.8848 0.9800 0.7498 0.0 0.0 0.8397 0.0 0.1431
0.1274 5.71 800 0.1512 0.4345 0.4731 0.9588 0.9575 0.9588 nan nan nan 0.9402 0.3510 0.0 0.9791 0.9895 0.9216 0.0 0.0 0.9260 0.0 0.0965 nan nan nan 0.8942 0.3207 0.0 0.8790 0.9808 0.7671 0.0 0.0 0.8410 0.0 0.0965
0.0843 5.86 820 0.1669 0.4440 0.4974 0.9544 0.9531 0.9544 nan nan nan 0.9544 0.3733 0.0 0.8850 0.9906 0.9223 0.0 0.0 0.9018 0.0 0.4444 nan nan nan 0.8981 0.3346 0.0 0.8133 0.9815 0.5881 0.0 0.0 0.8417 0.0 0.4267
0.1215 6.0 840 0.1484 0.4713 0.5077 0.9607 0.9593 0.9607 nan nan nan 0.9570 0.4344 0.0 0.9714 0.9935 0.9203 0.0 0.0 0.8881 0.0 0.4199 nan nan nan 0.8984 0.3872 0.0 0.8938 0.9808 0.7756 0.0 0.0 0.8401 0.0 0.4082
0.1682 6.14 860 0.1468 0.4500 0.4834 0.9592 0.9578 0.9592 nan nan nan 0.9596 0.3839 0.0 0.9824 0.9903 0.8180 0.0 0.0 0.8994 0.0 0.2838 nan nan nan 0.8977 0.3488 0.0 0.8656 0.9815 0.7313 0.0 0.0 0.8425 0.0 0.2822
0.3355 6.29 880 0.1455 0.4686 0.5039 0.9613 0.9599 0.9613 nan nan nan 0.9598 0.4413 0.0 0.9632 0.9928 0.9298 0.0 0.0 0.8934 0.0 0.3626 nan nan nan 0.8990 0.3934 0.0 0.8945 0.9815 0.7858 0.0 0.0 0.8429 0.0 0.3570
0.0971 6.43 900 0.1472 0.4519 0.4959 0.9590 0.9576 0.9590 nan nan nan 0.9513 0.3458 0.0 0.9477 0.9892 0.9526 0.0 0.0 0.9174 0.0 0.3513 nan nan nan 0.8994 0.3112 0.0 0.8801 0.9808 0.7064 0.0 0.0 0.8453 0.0 0.3477
0.1552 6.57 920 0.1433 0.4738 0.5141 0.9610 0.9597 0.9610 nan nan nan 0.9523 0.5074 0.0 0.9679 0.9910 0.9222 0.0 0.0 0.9065 0.0 0.4077 nan nan nan 0.8989 0.4297 0.0 0.8913 0.9811 0.7693 0.0 0.0 0.8458 0.0 0.3961
0.1151 6.71 940 0.1473 0.4768 0.5158 0.9608 0.9594 0.9608 nan nan nan 0.9530 0.5088 0.0 0.9800 0.9885 0.9050 0.0 0.0 0.9106 0.0 0.4285 nan nan nan 0.8986 0.4313 0.0 0.8878 0.9808 0.7872 0.0 0.0 0.8431 0.0 0.4154
0.2099 6.86 960 0.1502 0.4587 0.5028 0.9586 0.9572 0.9586 nan nan nan 0.9650 0.4765 0.0 0.9276 0.9891 0.9417 0.0 0.0 0.8921 0.0 0.3382 nan nan nan 0.8972 0.4107 0.0 0.8711 0.9809 0.7131 0.0 0.0 0.8384 0.0 0.3347
0.2762 7.0 980 0.1442 0.4743 0.5142 0.9601 0.9588 0.9601 nan nan nan 0.9398 0.4370 0.0 0.9814 0.9912 0.9093 0.0 0.0 0.9209 0.0 0.4767 nan nan nan 0.8959 0.3900 0.0 0.8857 0.9811 0.7671 0.0 0.0 0.8432 0.0 0.4543
0.0799 7.14 1000 0.1367 0.4826 0.5191 0.9621 0.9608 0.9621 nan nan nan 0.9605 0.5247 0.0 0.9708 0.9904 0.9177 0.0 0.0 0.9006 0.0 0.4460 nan nan nan 0.9000 0.4490 0.0 0.8952 0.9819 0.8077 0.0 0.0 0.8447 0.0 0.4302
0.1172 7.29 1020 0.1406 0.4481 0.4845 0.9613 0.9600 0.9613 nan nan nan 0.9592 0.4708 0.0 0.9681 0.9919 0.9423 0.0 0.0 0.8950 0.0 0.1024 nan nan nan 0.8985 0.4164 0.0 0.8987 0.9816 0.7883 0.0 0.0 0.8432 0.0 0.1024
0.138 7.43 1040 0.1432 0.4562 0.4969 0.9600 0.9586 0.9600 nan nan nan 0.9597 0.4952 0.0 0.9583 0.9908 0.9360 0.0 0.0 0.8911 0.0 0.2353 nan nan nan 0.8973 0.4328 0.0 0.8856 0.9814 0.7475 0.0 0.0 0.8401 0.0 0.2335
0.1024 7.57 1060 0.1409 0.4575 0.5003 0.9598 0.9584 0.9598 nan nan nan 0.9491 0.5201 0.0 0.9463 0.9917 0.9336 0.0 0.0 0.9089 0.0 0.2537 nan nan nan 0.8971 0.4481 0.0 0.8772 0.9818 0.7320 0.0 0.0 0.8427 0.0 0.2534
0.1077 7.71 1080 0.1373 0.4746 0.5131 0.9612 0.9598 0.9612 nan nan nan 0.9532 0.5782 0.0 0.9693 0.9931 0.9034 0.0 0.0 0.8949 0.0 0.3520 nan nan nan 0.8979 0.4756 0.0 0.8962 0.9811 0.7800 0.0 0.0 0.8415 0.0 0.3482
0.083 7.86 1100 0.1438 0.4643 0.5097 0.9592 0.9579 0.9592 nan nan nan 0.9574 0.5304 0.0 0.9321 0.9903 0.9214 0.0 0.0 0.9021 0.0 0.3733 nan nan nan 0.8989 0.4567 0.0 0.8604 0.9820 0.6957 0.0 0.0 0.8453 0.0 0.3679
0.0995 8.0 1120 0.1415 0.4698 0.5154 0.9600 0.9586 0.9600 nan nan nan 0.9566 0.5671 0.0 0.9245 0.9917 0.9337 0.0 0.0 0.9029 0.0 0.3926 nan nan nan 0.9001 0.4768 0.0 0.8652 0.9819 0.7139 0.0 0.0 0.8462 0.0 0.3840
0.2425 8.14 1140 0.1358 0.4782 0.5160 0.9625 0.9611 0.9625 nan nan nan 0.9541 0.5286 0.0 0.9699 0.9907 0.9397 0.0 0.0 0.9117 0.0 0.3810 nan nan nan 0.9007 0.4587 0.0 0.9011 0.9820 0.7968 0.0 0.0 0.8475 0.0 0.3739
0.1021 8.29 1160 0.1360 0.4856 0.5262 0.9621 0.9608 0.9621 nan nan nan 0.9539 0.5049 0.0 0.9712 0.9920 0.9307 0.0 0.0 0.9045 0.0 0.5309 nan nan nan 0.8999 0.4466 0.0 0.8963 0.9818 0.8015 0.0 0.0 0.8452 0.0 0.4703
0.1072 8.43 1180 0.1375 0.4791 0.5269 0.9612 0.9599 0.9612 nan nan nan 0.9508 0.4288 0.0 0.9602 0.9924 0.9653 0.0 0.0 0.9063 0.0 0.5926 nan nan nan 0.9006 0.3840 0.0 0.8957 0.9817 0.7540 0.0 0.0 0.8459 0.0 0.5085
0.0716 8.57 1200 0.1341 0.4884 0.5286 0.9618 0.9604 0.9618 nan nan nan 0.9479 0.5253 0.0 0.9777 0.9920 0.8920 0.0 0.0 0.9134 0.0 0.5667 nan nan nan 0.8985 0.4596 0.0 0.8929 0.9818 0.7940 0.0 0.0 0.8450 0.0 0.5002
0.8156 8.71 1220 0.1355 0.4860 0.5271 0.9622 0.9609 0.9622 nan nan nan 0.9578 0.5614 0.0 0.9535 0.9910 0.9468 0.0 0.0 0.9049 0.0 0.4832 nan nan nan 0.8999 0.4748 0.0 0.8948 0.9823 0.7988 0.0 0.0 0.8456 0.0 0.4497
0.4388 8.86 1240 0.1330 0.4806 0.5202 0.9623 0.9610 0.9623 nan nan nan 0.9536 0.5331 0.0 0.9690 0.9907 0.9495 0.0 0.0 0.9093 0.0 0.4176 nan nan nan 0.9002 0.4625 0.0 0.8978 0.9821 0.7981 0.0 0.0 0.8465 0.0 0.3999
0.1236 9.0 1260 0.1360 0.4680 0.5032 0.9615 0.9602 0.9615 nan nan nan 0.9658 0.5805 0.0 0.9650 0.9907 0.9245 0.0 0.0 0.8853 0.0 0.2232 nan nan nan 0.8980 0.4929 0.0 0.8999 0.9810 0.8165 0.0 0.0 0.8378 0.0 0.2223
0.1275 9.14 1280 0.1341 0.4771 0.5165 0.9621 0.9607 0.9621 nan nan nan 0.9493 0.5477 0.0 0.9676 0.9913 0.9542 0.0 0.0 0.9123 0.0 0.3587 nan nan nan 0.8995 0.4726 0.0 0.9009 0.9813 0.7938 0.0 0.0 0.8468 0.0 0.3534
0.1358 9.29 1300 0.1325 0.4846 0.5225 0.9625 0.9612 0.9625 nan nan nan 0.9572 0.5806 0.0 0.9758 0.9911 0.9141 0.0 0.0 0.9014 0.0 0.4272 nan nan nan 0.9005 0.4941 0.0 0.8978 0.9819 0.8040 0.0 0.0 0.8462 0.0 0.4065
0.2225 9.43 1320 0.1356 0.4911 0.5317 0.9625 0.9612 0.9625 nan nan nan 0.9443 0.5646 0.0 0.9688 0.9933 0.9342 0.0 0.0 0.9157 0.0 0.5281 nan nan nan 0.8989 0.4818 0.0 0.9023 0.9817 0.8111 0.0 0.0 0.8467 0.0 0.4795
0.0823 9.57 1340 0.1307 0.4910 0.5318 0.9626 0.9613 0.9626 nan nan nan 0.9577 0.5417 0.0 0.9813 0.9904 0.9050 0.0 0.0 0.9041 0.0 0.5696 nan nan nan 0.9013 0.4712 0.0 0.8923 0.9821 0.8185 0.0 0.0 0.8464 0.0 0.4895
0.0876 9.71 1360 0.1309 0.4912 0.5326 0.9631 0.9617 0.9631 nan nan nan 0.9535 0.5959 0.0 0.9668 0.9912 0.9482 0.0 0.0 0.9094 0.0 0.4939 nan nan nan 0.9009 0.4999 0.0 0.9004 0.9823 0.8172 0.0 0.0 0.8482 0.0 0.4548
0.0759 9.86 1380 0.1292 0.4913 0.5318 0.9630 0.9617 0.9630 nan nan nan 0.9559 0.5515 0.0 0.9692 0.9909 0.9454 0.0 0.0 0.9083 0.0 0.5285 nan nan nan 0.9011 0.4756 0.0 0.9014 0.9824 0.8167 0.0 0.0 0.8476 0.0 0.4799
0.2511 10.0 1400 0.1301 0.4906 0.5296 0.9632 0.9618 0.9632 nan nan nan 0.9551 0.5325 0.0 0.9722 0.9918 0.9395 0.0 0.0 0.9074 0.0 0.5267 nan nan nan 0.9015 0.4652 0.0 0.9023 0.9822 0.8138 0.0 0.0 0.8488 0.0 0.4827
0.4786 10.14 1420 0.1287 0.4975 0.5420 0.9629 0.9616 0.9629 nan nan nan 0.9559 0.5693 0.0 0.9712 0.9918 0.9358 0.0 0.0 0.9016 0.0 0.6368 nan nan nan 0.9011 0.4869 0.0 0.9010 0.9819 0.8150 0.0 0.0 0.8467 0.0 0.5395
0.1047 10.29 1440 0.1301 0.4970 0.5473 0.9628 0.9615 0.9628 nan nan nan 0.9494 0.5572 0.0 0.9682 0.9924 0.9558 0.0 0.0 0.9087 0.0 0.6887 nan nan nan 0.9009 0.4814 0.0 0.9003 0.9819 0.8111 0.0 0.0 0.8471 0.0 0.5442
0.0776 10.43 1460 0.1319 0.4871 0.5234 0.9632 0.9618 0.9632 nan nan nan 0.9573 0.5652 0.0 0.9672 0.9920 0.9221 0.0 0.0 0.9058 0.0 0.4477 nan nan nan 0.9011 0.4858 0.0 0.9006 0.9826 0.8120 0.0 0.0 0.8480 0.0 0.4282
0.1874 10.57 1480 0.1328 0.4849 0.5242 0.9622 0.9609 0.9622 nan nan nan 0.9453 0.5433 0.0 0.9742 0.9918 0.9365 0.0 0.0 0.9173 0.0 0.4577 nan nan nan 0.8989 0.4724 0.0 0.8973 0.9820 0.8020 0.0 0.0 0.8466 0.0 0.4346
0.1245 10.71 1500 0.1341 0.4814 0.5321 0.9605 0.9592 0.9605 nan nan nan 0.9515 0.5632 0.0 0.9381 0.9920 0.9577 0.0 0.0 0.9038 0.0 0.5465 nan nan nan 0.9002 0.4759 0.0 0.8733 0.9818 0.7319 0.0 0.0 0.8463 0.0 0.4861
0.168 10.86 1520 0.1299 0.4950 0.5386 0.9627 0.9614 0.9627 nan nan nan 0.9489 0.6060 0.0 0.9779 0.9913 0.9165 0.0 0.0 0.9121 0.0 0.5720 nan nan nan 0.8999 0.5068 0.0 0.8955 0.9823 0.8136 0.0 0.0 0.8471 0.0 0.5002
0.0964 11.0 1540 0.1302 0.4905 0.5280 0.9631 0.9617 0.9631 nan nan nan 0.9598 0.5714 0.0 0.9731 0.9921 0.9275 0.0 0.0 0.8958 0.0 0.4887 nan nan nan 0.9010 0.4928 0.0 0.8997 0.9823 0.8221 0.0 0.0 0.8461 0.0 0.4515
0.1577 11.14 1560 0.1287 0.4924 0.5295 0.9633 0.9620 0.9633 nan nan nan 0.9590 0.5793 0.0 0.9717 0.9921 0.9197 0.0 0.0 0.9002 0.0 0.5025 nan nan nan 0.9010 0.4966 0.0 0.9014 0.9826 0.8220 0.0 0.0 0.8472 0.0 0.4656
0.0964 11.29 1580 0.1306 0.5029 0.5453 0.9635 0.9621 0.9635 nan nan nan 0.9554 0.6552 0.0 0.9646 0.9922 0.9120 0.0 0.0 0.9061 0.0 0.6123 nan nan nan 0.9008 0.5347 0.0 0.9020 0.9824 0.8341 0.0 0.0 0.8469 0.0 0.5306
0.0671 11.43 1600 0.1286 0.4580 0.5459 0.9631 0.9617 0.9631 nan nan nan 0.9507 0.5853 0.0 0.9721 0.9910 0.9521 0.0 0.0 0.9116 0.0 0.6425 nan 0.0 nan 0.9007 0.5006 0.0 0.9038 0.9821 0.8122 0.0 0.0 0.8478 0.0 0.5490
0.0625 11.57 1620 0.1283 0.4568 0.5442 0.9630 0.9616 0.9630 nan nan nan 0.9497 0.5601 0.0 0.9737 0.9909 0.9549 0.0 0.0 0.9137 0.0 0.6434 nan 0.0 nan 0.9007 0.4864 0.0 0.9029 0.9820 0.8080 0.0 0.0 0.8484 0.0 0.5524
0.2409 11.71 1640 0.1279 0.5020 0.5425 0.9637 0.9624 0.9637 nan nan nan 0.9575 0.6471 0.0 0.9666 0.9923 0.9181 0.0 0.0 0.9026 0.0 0.5827 nan nan nan 0.9015 0.5342 0.0 0.9029 0.9824 0.8329 0.0 0.0 0.8484 0.0 0.5197
0.2031 11.86 1660 0.1285 0.4942 0.5337 0.9633 0.9619 0.9633 nan nan nan 0.9598 0.5663 0.0 0.9709 0.9921 0.9397 0.0 0.0 0.8966 0.0 0.5451 nan nan nan 0.9014 0.4891 0.0 0.9035 0.9824 0.8149 0.0 0.0 0.8467 0.0 0.4978
0.2124 12.0 1680 0.1261 0.4987 0.5406 0.9635 0.9621 0.9635 nan nan nan 0.9564 0.5954 0.0 0.9707 0.9914 0.9395 0.0 0.0 0.9050 0.0 0.5882 nan nan nan 0.9017 0.5067 0.0 0.9031 0.9824 0.8218 0.0 0.0 0.8478 0.0 0.5217
0.0926 12.14 1700 0.1264 0.4975 0.5383 0.9633 0.9619 0.9633 nan nan nan 0.9521 0.5875 0.0 0.9758 0.9919 0.9230 0.0 0.0 0.9097 0.0 0.5817 nan nan nan 0.9015 0.5014 0.0 0.9011 0.9823 0.8136 0.0 0.0 0.8485 0.0 0.5236
0.1363 12.29 1720 0.1282 0.4577 0.5433 0.9633 0.9619 0.9633 nan nan nan 0.9532 0.5944 0.0 0.9669 0.9922 0.9425 0.0 0.0 0.9066 0.0 0.6203 nan 0.0 nan 0.9014 0.5030 0.0 0.9042 0.9820 0.8129 0.0 0.0 0.8482 0.0 0.5403
0.1563 12.43 1740 0.1274 0.4570 0.5444 0.9632 0.9618 0.9632 nan nan nan 0.9524 0.5784 0.0 0.9659 0.9918 0.9513 0.0 0.0 0.9095 0.0 0.6391 nan 0.0 nan 0.9015 0.4957 0.0 0.9031 0.9821 0.8053 0.0 0.0 0.8493 0.0 0.5468
0.0727 12.57 1760 0.1274 0.4593 0.5446 0.9635 0.9622 0.9635 nan nan nan 0.9565 0.6029 0.0 0.9704 0.9919 0.9294 0.0 0.0 0.9034 0.0 0.6365 nan 0.0 nan 0.9019 0.5113 0.0 0.9034 0.9823 0.8179 0.0 0.0 0.8482 0.0 0.5469
0.156 12.71 1780 0.1265 0.4569 0.5446 0.9631 0.9617 0.9631 nan nan nan 0.9489 0.5649 0.0 0.9729 0.9913 0.9491 0.0 0.0 0.9150 0.0 0.6490 nan 0.0 nan 0.9011 0.4881 0.0 0.9036 0.9822 0.8066 0.0 0.0 0.8485 0.0 0.5526
0.4316 12.86 1800 0.1280 0.4971 0.5344 0.9631 0.9618 0.9631 nan nan nan 0.9586 0.6084 0.0 0.9768 0.9924 0.8684 0.0 0.0 0.9005 0.0 0.5730 nan nan nan 0.9013 0.5179 0.0 0.8950 0.9825 0.8087 0.0 0.0 0.8474 0.0 0.5150
0.7124 13.0 1820 0.1263 0.4572 0.5396 0.9635 0.9621 0.9635 nan nan nan 0.9546 0.5731 0.0 0.9748 0.9918 0.9337 0.0 0.0 0.9067 0.0 0.6010 nan 0.0 nan 0.9014 0.4998 0.0 0.9029 0.9824 0.8226 0.0 0.0 0.8482 0.0 0.5287
0.6906 13.14 1840 0.1271 0.4926 0.5360 0.9628 0.9615 0.9628 nan nan nan 0.9543 0.5478 0.0 0.9670 0.9916 0.9618 0.0 0.0 0.9050 0.0 0.5684 nan nan nan 0.9009 0.4768 0.0 0.9042 0.9821 0.7961 0.0 0.0 0.8475 0.0 0.5115
0.1642 13.29 1860 0.1260 0.4982 0.5394 0.9634 0.9621 0.9634 nan nan nan 0.9548 0.5920 0.0 0.9749 0.9916 0.9378 0.0 0.0 0.9051 0.0 0.5772 nan nan nan 0.9014 0.5103 0.0 0.9030 0.9822 0.8230 0.0 0.0 0.8478 0.0 0.5124
0.0953 13.43 1880 0.1275 0.4550 0.5390 0.9630 0.9616 0.9630 nan nan nan 0.9512 0.5543 0.0 0.9775 0.9929 0.9439 0.0 0.0 0.9032 0.0 0.6061 nan 0.0 nan 0.9009 0.4869 0.0 0.9015 0.9817 0.8183 0.0 0.0 0.8469 0.0 0.5244
0.0846 13.57 1900 0.1264 0.4974 0.5393 0.9633 0.9619 0.9633 nan nan nan 0.9517 0.5741 0.0 0.9694 0.9924 0.9469 0.0 0.0 0.9088 0.0 0.5889 nan nan nan 0.9011 0.4966 0.0 0.9040 0.9821 0.8162 0.0 0.0 0.8482 0.0 0.5237
0.1048 13.71 1920 0.1270 0.4980 0.5398 0.9633 0.9620 0.9633 nan nan nan 0.9535 0.5573 0.0 0.9715 0.9923 0.9402 0.0 0.0 0.9068 0.0 0.6166 nan nan nan 0.9013 0.4871 0.0 0.9035 0.9823 0.8162 0.0 0.0 0.8480 0.0 0.5392
0.1053 13.86 1940 0.1268 0.4594 0.5470 0.9634 0.9621 0.9634 nan nan nan 0.9545 0.5956 0.0 0.9697 0.9918 0.9450 0.0 0.0 0.9051 0.0 0.6550 nan 0.0 nan 0.9014 0.5089 0.0 0.9046 0.9822 0.8196 0.0 0.0 0.8476 0.0 0.5485
0.0643 14.0 1960 0.1271 0.4576 0.5447 0.9633 0.9620 0.9633 nan nan nan 0.9568 0.5641 0.0 0.9705 0.9918 0.9498 0.0 0.0 0.9014 0.0 0.6568 nan 0.0 nan 0.9016 0.4914 0.0 0.9042 0.9822 0.8167 0.0 0.0 0.8472 0.0 0.5484
0.1198 14.14 1980 0.1266 0.4594 0.5478 0.9634 0.9620 0.9634 nan nan nan 0.9520 0.5894 0.0 0.9706 0.9919 0.9522 0.0 0.0 0.9082 0.0 0.6620 nan 0.0 nan 0.9014 0.5052 0.0 0.9044 0.9822 0.8167 0.0 0.0 0.8482 0.0 0.5544
0.17 14.29 2000 0.1270 0.4573 0.5444 0.9632 0.9619 0.9632 nan nan nan 0.9502 0.5611 0.0 0.9708 0.9914 0.9576 0.0 0.0 0.9136 0.0 0.6440 nan 0.0 nan 0.9011 0.4873 0.0 0.9046 0.9824 0.8080 0.0 0.0 0.8487 0.0 0.5557
0.089 14.43 2020 0.1257 0.4614 0.5475 0.9637 0.9623 0.9637 nan nan nan 0.9534 0.6223 0.0 0.9671 0.9925 0.9395 0.0 0.0 0.9066 0.0 0.6410 nan 0.0 nan 0.9015 0.5247 0.0 0.9047 0.9823 0.8295 0.0 0.0 0.8480 0.0 0.5465
0.0741 14.57 2040 0.1257 0.4604 0.5491 0.9634 0.9621 0.9634 nan nan nan 0.9490 0.6041 0.0 0.9710 0.9919 0.9503 0.0 0.0 0.9130 0.0 0.6604 nan 0.0 nan 0.9011 0.5136 0.0 0.9046 0.9822 0.8210 0.0 0.0 0.8487 0.0 0.5538
0.1272 14.71 2060 0.1255 0.4611 0.5459 0.9637 0.9624 0.9637 nan nan nan 0.9527 0.6077 0.0 0.9708 0.9923 0.9338 0.0 0.0 0.9094 0.0 0.6384 nan 0.0 nan 0.9016 0.5194 0.0 0.9041 0.9824 0.8313 0.0 0.0 0.8486 0.0 0.5456
0.0926 14.86 2080 0.1251 0.4612 0.5470 0.9637 0.9623 0.9637 nan nan nan 0.9554 0.6172 0.0 0.9746 0.9922 0.9277 0.0 0.0 0.9027 0.0 0.6476 nan 0.0 nan 0.9018 0.5235 0.0 0.9028 0.9823 0.8303 0.0 0.0 0.8478 0.0 0.5461
0.0588 15.0 2100 0.1258 0.4605 0.5478 0.9636 0.9623 0.9636 nan nan nan 0.9531 0.6071 0.0 0.9724 0.9911 0.9428 0.0 0.0 0.9106 0.0 0.6488 nan 0.0 nan 0.9017 0.5169 0.0 0.9039 0.9824 0.8235 0.0 0.0 0.8489 0.0 0.5487

Framework versions

  • Transformers 4.33.2
  • Pytorch 2.0.1
  • Datasets 3.0.0
  • Tokenizers 0.13.3
Downloads last month
11
Inference Examples
Image Segmentation
Unable to determine this model's library. Check the docs .

Model tree for MexicanVanGogh/segformer-b0-finetuned-segments-greenhousev3-sep-23

Base model

nvidia/mit-b0
Finetuned
(319)
this model

Evaluation results

Metadata error: specify a dataset to view leaderboard