End of training
Browse files- README.md +20 -220
- config.json +5 -5
- model.safetensors +1 -1
- runs/Oct23_21-22-21_8a7ad02beeec/events.out.tfevents.1729718544.8a7ad02beeec.972.0 +3 -0
- runs/Oct23_21-24-32_8a7ad02beeec/events.out.tfevents.1729718674.8a7ad02beeec.972.1 +3 -0
- runs/Oct23_21-25-30_8a7ad02beeec/events.out.tfevents.1729718732.8a7ad02beeec.972.2 +3 -0
- runs/Oct23_21-25-30_8a7ad02beeec/events.out.tfevents.1729718784.8a7ad02beeec.972.3 +3 -0
- runs/Oct23_21-26-35_8a7ad02beeec/events.out.tfevents.1729718797.8a7ad02beeec.972.4 +3 -0
- runs/Oct23_21-27-51_8a7ad02beeec/events.out.tfevents.1729718874.8a7ad02beeec.972.5 +3 -0
- runs/Oct23_21-38-27_8a7ad02beeec/events.out.tfevents.1729719511.8a7ad02beeec.972.6 +3 -0
- runs/Oct23_21-40-34_8a7ad02beeec/events.out.tfevents.1729719636.8a7ad02beeec.972.7 +3 -0
- runs/Oct23_21-44-03_8a7ad02beeec/events.out.tfevents.1729719858.8a7ad02beeec.972.8 +3 -0
- runs/Oct23_21-49-33_8a7ad02beeec/events.out.tfevents.1729720176.8a7ad02beeec.972.9 +3 -0
- training_args.bin +2 -2
README.md
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---
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license: other
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base_model: nvidia/mit-b0
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tags:
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# segformer-b0-finetuned-segments-sidewalk-2
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This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the
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It achieves the following results on the evaluation set:
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Unlabeled | Accuracy Lipid | Iou Unlabeled | Iou Lipid |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------------:|:--------------:|:-------------:|:---------:|
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| 0.0516 | 2.5 | 20 | 0.0743 | 0.0034 | 0.0068 | 0.0068 | nan | 0.0068 | 0.0 | 0.0068 |
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| 0.0349 | 5.0 | 40 | 0.0308 | 0.0 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 |
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| 0.0325 | 7.5 | 60 | 0.1740 | 0.0820 | 0.1640 | 0.1640 | nan | 0.1640 | 0.0 | 0.1640 |
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| 0.0543 | 10.0 | 80 | 0.0901 | 0.0395 | 0.0791 | 0.0791 | nan | 0.0791 | 0.0 | 0.0791 |
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| 0.026 | 12.5 | 100 | 0.0796 | 0.0472 | 0.0943 | 0.0943 | nan | 0.0943 | 0.0 | 0.0943 |
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| 63 |
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| 0.0188 | 15.0 | 120 | 0.0522 | 0.0428 | 0.0855 | 0.0855 | nan | 0.0855 | 0.0 | 0.0855 |
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| 64 |
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| 0.0245 | 17.5 | 140 | 0.1580 | 0.2788 | 0.5576 | 0.5576 | nan | 0.5576 | 0.0 | 0.5576 |
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| 65 |
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| 0.0191 | 20.0 | 160 | 0.1044 | 0.1776 | 0.3551 | 0.3551 | nan | 0.3551 | 0.0 | 0.3551 |
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| 66 |
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| 0.0191 | 22.5 | 180 | 0.1680 | 0.2733 | 0.5467 | 0.5467 | nan | 0.5467 | 0.0 | 0.5467 |
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| 67 |
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| 0.0192 | 25.0 | 200 | 0.1560 | 0.2549 | 0.5098 | 0.5098 | nan | 0.5098 | 0.0 | 0.5098 |
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| 68 |
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| 0.012 | 27.5 | 220 | 0.1381 | 0.2477 | 0.4955 | 0.4955 | nan | 0.4955 | 0.0 | 0.4955 |
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| 69 |
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| 0.0119 | 30.0 | 240 | 0.1454 | 0.3042 | 0.6084 | 0.6084 | nan | 0.6084 | 0.0 | 0.6084 |
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| 70 |
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| 0.0193 | 32.5 | 260 | 0.0829 | 0.2021 | 0.4043 | 0.4043 | nan | 0.4043 | 0.0 | 0.4043 |
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| 71 |
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| 0.0088 | 35.0 | 280 | 0.1286 | 0.2576 | 0.5151 | 0.5151 | nan | 0.5151 | 0.0 | 0.5151 |
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| 72 |
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| 0.0198 | 37.5 | 300 | 0.0757 | 0.2336 | 0.4671 | 0.4671 | nan | 0.4671 | 0.0 | 0.4671 |
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| 73 |
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| 0.0124 | 40.0 | 320 | 0.1081 | 0.2516 | 0.5032 | 0.5032 | nan | 0.5032 | 0.0 | 0.5032 |
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| 74 |
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| 0.0348 | 42.5 | 340 | 0.1083 | 0.3188 | 0.6377 | 0.6377 | nan | 0.6377 | 0.0 | 0.6377 |
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| 75 |
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| 0.0083 | 45.0 | 360 | 0.0434 | 0.2969 | 0.5939 | 0.5939 | nan | 0.5939 | 0.0 | 0.5939 |
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| 76 |
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| 0.0135 | 47.5 | 380 | 0.0343 | 0.0148 | 0.0296 | 0.0296 | nan | 0.0296 | 0.0 | 0.0296 |
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| 77 |
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| 0.0062 | 50.0 | 400 | 0.1240 | 0.3299 | 0.6598 | 0.6598 | nan | 0.6598 | 0.0 | 0.6598 |
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| 78 |
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| 0.0075 | 52.5 | 420 | 0.0793 | 0.3017 | 0.6033 | 0.6033 | nan | 0.6033 | 0.0 | 0.6033 |
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| 79 |
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| 0.007 | 55.0 | 440 | 0.0958 | 0.4086 | 0.8173 | 0.8173 | nan | 0.8173 | 0.0 | 0.8173 |
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| 80 |
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| 0.0071 | 57.5 | 460 | 0.0204 | 0.1870 | 0.3741 | 0.3741 | nan | 0.3741 | 0.0 | 0.3741 |
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| 81 |
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| 0.0071 | 60.0 | 480 | 0.0971 | 0.4326 | 0.8652 | 0.8652 | nan | 0.8652 | 0.0 | 0.8652 |
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| 82 |
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| 0.0107 | 62.5 | 500 | 0.1058 | 0.4312 | 0.8624 | 0.8624 | nan | 0.8624 | 0.0 | 0.8624 |
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| 83 |
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| 0.0033 | 65.0 | 520 | 0.1208 | 0.4278 | 0.8557 | 0.8557 | nan | 0.8557 | 0.0 | 0.8557 |
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| 84 |
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| 0.0071 | 67.5 | 540 | 0.1153 | 0.3516 | 0.7032 | 0.7032 | nan | 0.7032 | 0.0 | 0.7032 |
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| 85 |
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| 0.0055 | 70.0 | 560 | 0.1756 | 0.4550 | 0.9099 | 0.9099 | nan | 0.9099 | 0.0 | 0.9099 |
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| 86 |
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| 0.0114 | 72.5 | 580 | 0.1491 | 0.4353 | 0.8706 | 0.8706 | nan | 0.8706 | 0.0 | 0.8706 |
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| 87 |
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| 0.008 | 75.0 | 600 | 0.2018 | 0.4520 | 0.9041 | 0.9041 | nan | 0.9041 | 0.0 | 0.9041 |
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| 88 |
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| 0.0037 | 77.5 | 620 | 0.0842 | 0.2597 | 0.5195 | 0.5195 | nan | 0.5195 | 0.0 | 0.5195 |
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| 0.0079 | 80.0 | 640 | 0.1237 | 0.3507 | 0.7013 | 0.7013 | nan | 0.7013 | 0.0 | 0.7013 |
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| 90 |
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| 0.0064 | 82.5 | 660 | 0.1580 | 0.4599 | 0.9199 | 0.9199 | nan | 0.9199 | 0.0 | 0.9199 |
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| 91 |
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| 0.0102 | 85.0 | 680 | 0.1675 | 0.4474 | 0.8947 | 0.8947 | nan | 0.8947 | 0.0 | 0.8947 |
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| 92 |
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| 0.0034 | 87.5 | 700 | 0.1346 | 0.4061 | 0.8122 | 0.8122 | nan | 0.8122 | 0.0 | 0.8122 |
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| 0.0052 | 90.0 | 720 | 0.1353 | 0.3878 | 0.7757 | 0.7757 | nan | 0.7757 | 0.0 | 0.7757 |
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| 0.0078 | 92.5 | 740 | 0.1522 | 0.4156 | 0.8312 | 0.8312 | nan | 0.8312 | 0.0 | 0.8312 |
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| 0.0072 | 95.0 | 760 | 0.0946 | 0.3724 | 0.7449 | 0.7449 | nan | 0.7449 | 0.0 | 0.7449 |
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| 0.0056 | 97.5 | 780 | 0.1443 | 0.3535 | 0.7071 | 0.7071 | nan | 0.7071 | 0.0 | 0.7071 |
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| 0.0025 | 100.0 | 800 | 0.0505 | 0.2453 | 0.4906 | 0.4906 | nan | 0.4906 | 0.0 | 0.4906 |
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| 0.0054 | 102.5 | 820 | 0.0572 | 0.3087 | 0.6174 | 0.6174 | nan | 0.6174 | 0.0 | 0.6174 |
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| 0.0041 | 105.0 | 840 | 0.0329 | 0.3713 | 0.7425 | 0.7425 | nan | 0.7425 | 0.0 | 0.7425 |
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| 0.0109 | 107.5 | 860 | 0.0145 | 0.0508 | 0.1016 | 0.1016 | nan | 0.1016 | 0.0 | 0.1016 |
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| 0.007 | 110.0 | 880 | 0.0777 | 0.3226 | 0.6453 | 0.6453 | nan | 0.6453 | 0.0 | 0.6453 |
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| 0.0083 | 112.5 | 900 | 0.0207 | 0.0628 | 0.1256 | 0.1256 | nan | 0.1256 | 0.0 | 0.1256 |
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| 0.0097 | 115.0 | 920 | 0.0277 | 0.0798 | 0.1596 | 0.1596 | nan | 0.1596 | 0.0 | 0.1596 |
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| 104 |
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| 0.0072 | 117.5 | 940 | 0.0855 | 0.4426 | 0.8853 | 0.8853 | nan | 0.8853 | 0.0 | 0.8853 |
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| 105 |
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| 0.012 | 120.0 | 960 | 0.0892 | 0.4119 | 0.8238 | 0.8238 | nan | 0.8238 | 0.0 | 0.8238 |
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| 106 |
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| 0.0051 | 122.5 | 980 | 0.1283 | 0.4709 | 0.9418 | 0.9418 | nan | 0.9418 | 0.0 | 0.9418 |
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| 107 |
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| 0.0077 | 125.0 | 1000 | 0.0457 | 0.2912 | 0.5825 | 0.5825 | nan | 0.5825 | 0.0 | 0.5825 |
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| 108 |
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| 0.0034 | 127.5 | 1020 | 0.1691 | 0.4538 | 0.9075 | 0.9075 | nan | 0.9075 | 0.0 | 0.9075 |
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| 109 |
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| 0.0122 | 130.0 | 1040 | 0.1461 | 0.4322 | 0.8645 | 0.8645 | nan | 0.8645 | 0.0 | 0.8645 |
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| 110 |
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| 0.0114 | 132.5 | 1060 | 0.0897 | 0.4222 | 0.8443 | 0.8443 | nan | 0.8443 | 0.0 | 0.8443 |
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| 0.0032 | 135.0 | 1080 | 0.0840 | 0.4068 | 0.8135 | 0.8135 | nan | 0.8135 | 0.0 | 0.8135 |
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| 0.0018 | 137.5 | 1100 | 0.0703 | 0.3818 | 0.7636 | 0.7636 | nan | 0.7636 | 0.0 | 0.7636 |
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| 0.007 | 140.0 | 1120 | 0.0540 | 0.3854 | 0.7707 | 0.7707 | nan | 0.7707 | 0.0 | 0.7707 |
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| 0.0033 | 142.5 | 1140 | 0.1461 | 0.4680 | 0.9360 | 0.9360 | nan | 0.9360 | 0.0 | 0.9360 |
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| 0.0053 | 145.0 | 1160 | 0.0881 | 0.4246 | 0.8492 | 0.8492 | nan | 0.8492 | 0.0 | 0.8492 |
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| 0.0021 | 147.5 | 1180 | 0.1465 | 0.4431 | 0.8862 | 0.8862 | nan | 0.8862 | 0.0 | 0.8862 |
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| 0.004 | 150.0 | 1200 | 0.0908 | 0.3682 | 0.7364 | 0.7364 | nan | 0.7364 | 0.0 | 0.7364 |
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| 118 |
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| 0.0055 | 152.5 | 1220 | 0.0143 | 0.2918 | 0.5835 | 0.5835 | nan | 0.5835 | 0.0 | 0.5835 |
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| 119 |
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| 0.0071 | 155.0 | 1240 | 0.0314 | 0.3678 | 0.7357 | 0.7357 | nan | 0.7357 | 0.0 | 0.7357 |
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| 0.0042 | 157.5 | 1260 | 0.0962 | 0.4116 | 0.8232 | 0.8232 | nan | 0.8232 | 0.0 | 0.8232 |
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| 0.0035 | 160.0 | 1280 | 0.0958 | 0.4412 | 0.8824 | 0.8824 | nan | 0.8824 | 0.0 | 0.8824 |
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| 0.0045 | 162.5 | 1300 | 0.1473 | 0.4577 | 0.9153 | 0.9153 | nan | 0.9153 | 0.0 | 0.9153 |
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| 0.008 | 165.0 | 1320 | 0.0537 | 0.4320 | 0.8639 | 0.8639 | nan | 0.8639 | 0.0 | 0.8639 |
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| 0.005 | 167.5 | 1340 | 0.1155 | 0.4133 | 0.8265 | 0.8265 | nan | 0.8265 | 0.0 | 0.8265 |
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| 0.0052 | 170.0 | 1360 | 0.0997 | 0.4201 | 0.8402 | 0.8402 | nan | 0.8402 | 0.0 | 0.8402 |
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| 126 |
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| 0.0034 | 172.5 | 1380 | 0.1630 | 0.4693 | 0.9386 | 0.9386 | nan | 0.9386 | 0.0 | 0.9386 |
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| 127 |
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| 0.0052 | 175.0 | 1400 | 0.1317 | 0.4719 | 0.9437 | 0.9437 | nan | 0.9437 | 0.0 | 0.9437 |
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| 128 |
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| 0.0074 | 177.5 | 1420 | 0.0829 | 0.4105 | 0.8210 | 0.8210 | nan | 0.8210 | 0.0 | 0.8210 |
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| 129 |
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| 0.0028 | 180.0 | 1440 | 0.0844 | 0.4172 | 0.8345 | 0.8345 | nan | 0.8345 | 0.0 | 0.8345 |
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| 130 |
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| 0.0058 | 182.5 | 1460 | 0.0435 | 0.4035 | 0.8069 | 0.8069 | nan | 0.8069 | 0.0 | 0.8069 |
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| 131 |
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| 0.0016 | 185.0 | 1480 | 0.0738 | 0.3716 | 0.7432 | 0.7432 | nan | 0.7432 | 0.0 | 0.7432 |
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| 132 |
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| 0.0042 | 187.5 | 1500 | 0.0720 | 0.4293 | 0.8586 | 0.8586 | nan | 0.8586 | 0.0 | 0.8586 |
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| 133 |
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| 0.0054 | 190.0 | 1520 | 0.1118 | 0.4383 | 0.8765 | 0.8765 | nan | 0.8765 | 0.0 | 0.8765 |
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| 134 |
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| 0.0029 | 192.5 | 1540 | 0.0983 | 0.4670 | 0.9341 | 0.9341 | nan | 0.9341 | 0.0 | 0.9341 |
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| 135 |
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| 0.0058 | 195.0 | 1560 | 0.1428 | 0.4736 | 0.9472 | 0.9472 | nan | 0.9472 | 0.0 | 0.9472 |
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| 136 |
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| 0.002 | 197.5 | 1580 | 0.0342 | 0.4120 | 0.8240 | 0.8240 | nan | 0.8240 | 0.0 | 0.8240 |
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| 137 |
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| 0.0159 | 200.0 | 1600 | 0.0726 | 0.4483 | 0.8966 | 0.8966 | nan | 0.8966 | 0.0 | 0.8966 |
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| 138 |
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| 0.0039 | 202.5 | 1620 | 0.0517 | 0.3259 | 0.6519 | 0.6519 | nan | 0.6519 | 0.0 | 0.6519 |
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| 139 |
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| 0.0063 | 205.0 | 1640 | 0.0964 | 0.4086 | 0.8171 | 0.8171 | nan | 0.8171 | 0.0 | 0.8171 |
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| 140 |
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| 0.0057 | 207.5 | 1660 | 0.0325 | 0.2521 | 0.5043 | 0.5043 | nan | 0.5043 | 0.0 | 0.5043 |
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| 141 |
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| 0.0041 | 210.0 | 1680 | 0.0323 | 0.4040 | 0.8081 | 0.8081 | nan | 0.8081 | 0.0 | 0.8081 |
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| 142 |
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| 0.0036 | 212.5 | 1700 | 0.1222 | 0.4657 | 0.9315 | 0.9315 | nan | 0.9315 | 0.0 | 0.9315 |
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| 143 |
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| 0.0052 | 215.0 | 1720 | 0.0984 | 0.4187 | 0.8375 | 0.8375 | nan | 0.8375 | 0.0 | 0.8375 |
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| 144 |
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| 0.0031 | 217.5 | 1740 | 0.0806 | 0.4095 | 0.8190 | 0.8190 | nan | 0.8190 | 0.0 | 0.8190 |
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| 145 |
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| 0.0053 | 220.0 | 1760 | 0.0750 | 0.3251 | 0.6503 | 0.6503 | nan | 0.6503 | 0.0 | 0.6503 |
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| 146 |
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| 0.0016 | 222.5 | 1780 | 0.0943 | 0.3690 | 0.7380 | 0.7380 | nan | 0.7380 | 0.0 | 0.7380 |
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| 147 |
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| 0.0014 | 225.0 | 1800 | 0.0832 | 0.3781 | 0.7562 | 0.7562 | nan | 0.7562 | 0.0 | 0.7562 |
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| 148 |
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| 0.0016 | 227.5 | 1820 | 0.0583 | 0.4524 | 0.9048 | 0.9048 | nan | 0.9048 | 0.0 | 0.9048 |
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| 149 |
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| 0.0059 | 230.0 | 1840 | 0.0812 | 0.4081 | 0.8162 | 0.8162 | nan | 0.8162 | 0.0 | 0.8162 |
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| 0.0039 | 232.5 | 1860 | 0.0915 | 0.3669 | 0.7337 | 0.7337 | nan | 0.7337 | 0.0 | 0.7337 |
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| 151 |
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| 0.0065 | 235.0 | 1880 | 0.0144 | 0.2502 | 0.5004 | 0.5004 | nan | 0.5004 | 0.0 | 0.5004 |
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| 152 |
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| 0.0036 | 237.5 | 1900 | 0.0905 | 0.4684 | 0.9369 | 0.9369 | nan | 0.9369 | 0.0 | 0.9369 |
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| 153 |
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| 0.0027 | 240.0 | 1920 | 0.0926 | 0.4087 | 0.8174 | 0.8174 | nan | 0.8174 | 0.0 | 0.8174 |
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| 154 |
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| 0.0027 | 242.5 | 1940 | 0.0670 | 0.4460 | 0.8920 | 0.8920 | nan | 0.8920 | 0.0 | 0.8920 |
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| 155 |
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| 0.0028 | 245.0 | 1960 | 0.0950 | 0.4656 | 0.9312 | 0.9312 | nan | 0.9312 | 0.0 | 0.9312 |
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| 156 |
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| 0.0025 | 247.5 | 1980 | 0.1178 | 0.4315 | 0.8630 | 0.8630 | nan | 0.8630 | 0.0 | 0.8630 |
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| 157 |
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| 0.0028 | 250.0 | 2000 | 0.0963 | 0.3941 | 0.7882 | 0.7882 | nan | 0.7882 | 0.0 | 0.7882 |
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| 158 |
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| 0.0016 | 252.5 | 2020 | 0.0682 | 0.4172 | 0.8344 | 0.8344 | nan | 0.8344 | 0.0 | 0.8344 |
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| 159 |
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| 0.002 | 255.0 | 2040 | 0.0760 | 0.4218 | 0.8437 | 0.8437 | nan | 0.8437 | 0.0 | 0.8437 |
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| 160 |
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| 0.0011 | 257.5 | 2060 | 0.0649 | 0.3866 | 0.7732 | 0.7732 | nan | 0.7732 | 0.0 | 0.7732 |
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| 161 |
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| 0.0038 | 260.0 | 2080 | 0.0962 | 0.4099 | 0.8198 | 0.8198 | nan | 0.8198 | 0.0 | 0.8198 |
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| 162 |
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| 0.0071 | 262.5 | 2100 | 0.0638 | 0.4079 | 0.8159 | 0.8159 | nan | 0.8159 | 0.0 | 0.8159 |
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| 163 |
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| 0.0029 | 265.0 | 2120 | 0.0356 | 0.3062 | 0.6125 | 0.6125 | nan | 0.6125 | 0.0 | 0.6125 |
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| 164 |
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| 0.0013 | 267.5 | 2140 | 0.0410 | 0.3779 | 0.7558 | 0.7558 | nan | 0.7558 | 0.0 | 0.7558 |
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| 165 |
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| 0.0061 | 270.0 | 2160 | 0.0985 | 0.4085 | 0.8169 | 0.8169 | nan | 0.8169 | 0.0 | 0.8169 |
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| 166 |
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| 0.001 | 272.5 | 2180 | 0.0520 | 0.3867 | 0.7734 | 0.7734 | nan | 0.7734 | 0.0 | 0.7734 |
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| 167 |
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| 0.0035 | 275.0 | 2200 | 0.0777 | 0.4045 | 0.8090 | 0.8090 | nan | 0.8090 | 0.0 | 0.8090 |
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| 168 |
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| 0.0037 | 277.5 | 2220 | 0.0407 | 0.3915 | 0.7830 | 0.7830 | nan | 0.7830 | 0.0 | 0.7830 |
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| 169 |
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| 0.0045 | 280.0 | 2240 | 0.0780 | 0.4407 | 0.8814 | 0.8814 | nan | 0.8814 | 0.0 | 0.8814 |
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| 170 |
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| 0.0026 | 282.5 | 2260 | 0.0606 | 0.4039 | 0.8078 | 0.8078 | nan | 0.8078 | 0.0 | 0.8078 |
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| 171 |
-
| 0.0034 | 285.0 | 2280 | 0.0820 | 0.4020 | 0.8039 | 0.8039 | nan | 0.8039 | 0.0 | 0.8039 |
|
| 172 |
-
| 0.0039 | 287.5 | 2300 | 0.0842 | 0.4458 | 0.8915 | 0.8915 | nan | 0.8915 | 0.0 | 0.8915 |
|
| 173 |
-
| 0.0007 | 290.0 | 2320 | 0.0296 | 0.3628 | 0.7257 | 0.7257 | nan | 0.7257 | 0.0 | 0.7257 |
|
| 174 |
-
| 0.0051 | 292.5 | 2340 | 0.0728 | 0.4366 | 0.8732 | 0.8732 | nan | 0.8732 | 0.0 | 0.8732 |
|
| 175 |
-
| 0.001 | 295.0 | 2360 | 0.0337 | 0.3528 | 0.7056 | 0.7056 | nan | 0.7056 | 0.0 | 0.7056 |
|
| 176 |
-
| 0.0015 | 297.5 | 2380 | 0.1415 | 0.4762 | 0.9524 | 0.9524 | nan | 0.9524 | 0.0 | 0.9524 |
|
| 177 |
-
| 0.0047 | 300.0 | 2400 | 0.0607 | 0.4035 | 0.8070 | 0.8070 | nan | 0.8070 | 0.0 | 0.8070 |
|
| 178 |
-
| 0.0022 | 302.5 | 2420 | 0.0882 | 0.4462 | 0.8924 | 0.8924 | nan | 0.8924 | 0.0 | 0.8924 |
|
| 179 |
-
| 0.001 | 305.0 | 2440 | 0.0629 | 0.4151 | 0.8303 | 0.8303 | nan | 0.8303 | 0.0 | 0.8303 |
|
| 180 |
-
| 0.0028 | 307.5 | 2460 | 0.0676 | 0.4447 | 0.8895 | 0.8895 | nan | 0.8895 | 0.0 | 0.8895 |
|
| 181 |
-
| 0.0009 | 310.0 | 2480 | 0.0947 | 0.4772 | 0.9544 | 0.9544 | nan | 0.9544 | 0.0 | 0.9544 |
|
| 182 |
-
| 0.0025 | 312.5 | 2500 | 0.0736 | 0.4609 | 0.9218 | 0.9218 | nan | 0.9218 | 0.0 | 0.9218 |
|
| 183 |
-
| 0.0049 | 315.0 | 2520 | 0.0672 | 0.4460 | 0.8919 | 0.8919 | nan | 0.8919 | 0.0 | 0.8919 |
|
| 184 |
-
| 0.0045 | 317.5 | 2540 | 0.1001 | 0.4477 | 0.8954 | 0.8954 | nan | 0.8954 | 0.0 | 0.8954 |
|
| 185 |
-
| 0.0014 | 320.0 | 2560 | 0.1098 | 0.4330 | 0.8661 | 0.8661 | nan | 0.8661 | 0.0 | 0.8661 |
|
| 186 |
-
| 0.0048 | 322.5 | 2580 | 0.0952 | 0.4472 | 0.8945 | 0.8945 | nan | 0.8945 | 0.0 | 0.8945 |
|
| 187 |
-
| 0.0009 | 325.0 | 2600 | 0.0610 | 0.4133 | 0.8266 | 0.8266 | nan | 0.8266 | 0.0 | 0.8266 |
|
| 188 |
-
| 0.0065 | 327.5 | 2620 | 0.0673 | 0.4195 | 0.8389 | 0.8389 | nan | 0.8389 | 0.0 | 0.8389 |
|
| 189 |
-
| 0.003 | 330.0 | 2640 | 0.0626 | 0.3853 | 0.7706 | 0.7706 | nan | 0.7706 | 0.0 | 0.7706 |
|
| 190 |
-
| 0.0048 | 332.5 | 2660 | 0.0849 | 0.4614 | 0.9229 | 0.9229 | nan | 0.9229 | 0.0 | 0.9229 |
|
| 191 |
-
| 0.0041 | 335.0 | 2680 | 0.0235 | 0.3797 | 0.7594 | 0.7594 | nan | 0.7594 | 0.0 | 0.7594 |
|
| 192 |
-
| 0.0014 | 337.5 | 2700 | 0.0863 | 0.4367 | 0.8734 | 0.8734 | nan | 0.8734 | 0.0 | 0.8734 |
|
| 193 |
-
| 0.0058 | 340.0 | 2720 | 0.0570 | 0.4419 | 0.8839 | 0.8839 | nan | 0.8839 | 0.0 | 0.8839 |
|
| 194 |
-
| 0.0051 | 342.5 | 2740 | 0.0551 | 0.4066 | 0.8132 | 0.8132 | nan | 0.8132 | 0.0 | 0.8132 |
|
| 195 |
-
| 0.0061 | 345.0 | 2760 | 0.1018 | 0.4437 | 0.8874 | 0.8874 | nan | 0.8874 | 0.0 | 0.8874 |
|
| 196 |
-
| 0.0037 | 347.5 | 2780 | 0.0993 | 0.4395 | 0.8791 | 0.8791 | nan | 0.8791 | 0.0 | 0.8791 |
|
| 197 |
-
| 0.0021 | 350.0 | 2800 | 0.0393 | 0.3939 | 0.7878 | 0.7878 | nan | 0.7878 | 0.0 | 0.7878 |
|
| 198 |
-
| 0.0068 | 352.5 | 2820 | 0.0244 | 0.3703 | 0.7406 | 0.7406 | nan | 0.7406 | 0.0 | 0.7406 |
|
| 199 |
-
| 0.0033 | 355.0 | 2840 | 0.1167 | 0.4802 | 0.9604 | 0.9604 | nan | 0.9604 | 0.0 | 0.9604 |
|
| 200 |
-
| 0.0024 | 357.5 | 2860 | 0.0592 | 0.4510 | 0.9019 | 0.9019 | nan | 0.9019 | 0.0 | 0.9019 |
|
| 201 |
-
| 0.0037 | 360.0 | 2880 | 0.0345 | 0.4301 | 0.8603 | 0.8603 | nan | 0.8603 | 0.0 | 0.8603 |
|
| 202 |
-
| 0.0026 | 362.5 | 2900 | 0.0461 | 0.3819 | 0.7639 | 0.7639 | nan | 0.7639 | 0.0 | 0.7639 |
|
| 203 |
-
| 0.0021 | 365.0 | 2920 | 0.0749 | 0.4493 | 0.8986 | 0.8986 | nan | 0.8986 | 0.0 | 0.8986 |
|
| 204 |
-
| 0.0011 | 367.5 | 2940 | 0.0410 | 0.4117 | 0.8235 | 0.8235 | nan | 0.8235 | 0.0 | 0.8235 |
|
| 205 |
-
| 0.0066 | 370.0 | 2960 | 0.0345 | 0.3802 | 0.7604 | 0.7604 | nan | 0.7604 | 0.0 | 0.7604 |
|
| 206 |
-
| 0.0021 | 372.5 | 2980 | 0.0317 | 0.3858 | 0.7715 | 0.7715 | nan | 0.7715 | 0.0 | 0.7715 |
|
| 207 |
-
| 0.0024 | 375.0 | 3000 | 0.0411 | 0.3935 | 0.7871 | 0.7871 | nan | 0.7871 | 0.0 | 0.7871 |
|
| 208 |
-
| 0.0041 | 377.5 | 3020 | 0.0520 | 0.3668 | 0.7336 | 0.7336 | nan | 0.7336 | 0.0 | 0.7336 |
|
| 209 |
-
| 0.0054 | 380.0 | 3040 | 0.0696 | 0.4331 | 0.8662 | 0.8662 | nan | 0.8662 | 0.0 | 0.8662 |
|
| 210 |
-
| 0.0025 | 382.5 | 3060 | 0.0733 | 0.4488 | 0.8977 | 0.8977 | nan | 0.8977 | 0.0 | 0.8977 |
|
| 211 |
-
| 0.003 | 385.0 | 3080 | 0.0227 | 0.3969 | 0.7938 | 0.7938 | nan | 0.7938 | 0.0 | 0.7938 |
|
| 212 |
-
| 0.0027 | 387.5 | 3100 | 0.0404 | 0.4348 | 0.8696 | 0.8696 | nan | 0.8696 | 0.0 | 0.8696 |
|
| 213 |
-
| 0.0024 | 390.0 | 3120 | 0.0305 | 0.3848 | 0.7696 | 0.7696 | nan | 0.7696 | 0.0 | 0.7696 |
|
| 214 |
-
| 0.0028 | 392.5 | 3140 | 0.0808 | 0.4544 | 0.9087 | 0.9087 | nan | 0.9087 | 0.0 | 0.9087 |
|
| 215 |
-
| 0.0034 | 395.0 | 3160 | 0.0424 | 0.3964 | 0.7928 | 0.7928 | nan | 0.7928 | 0.0 | 0.7928 |
|
| 216 |
-
| 0.002 | 397.5 | 3180 | 0.0513 | 0.4040 | 0.8080 | 0.8080 | nan | 0.8080 | 0.0 | 0.8080 |
|
| 217 |
-
| 0.0048 | 400.0 | 3200 | 0.0534 | 0.4107 | 0.8214 | 0.8214 | nan | 0.8214 | 0.0 | 0.8214 |
|
| 218 |
-
| 0.0028 | 402.5 | 3220 | 0.0439 | 0.4208 | 0.8416 | 0.8416 | nan | 0.8416 | 0.0 | 0.8416 |
|
| 219 |
-
| 0.0027 | 405.0 | 3240 | 0.0818 | 0.4603 | 0.9207 | 0.9207 | nan | 0.9207 | 0.0 | 0.9207 |
|
| 220 |
-
| 0.0012 | 407.5 | 3260 | 0.0618 | 0.4365 | 0.8730 | 0.8730 | nan | 0.8730 | 0.0 | 0.8730 |
|
| 221 |
-
| 0.0006 | 410.0 | 3280 | 0.0907 | 0.4469 | 0.8939 | 0.8939 | nan | 0.8939 | 0.0 | 0.8939 |
|
| 222 |
-
| 0.0023 | 412.5 | 3300 | 0.0850 | 0.4304 | 0.8609 | 0.8609 | nan | 0.8609 | 0.0 | 0.8609 |
|
| 223 |
-
| 0.0063 | 415.0 | 3320 | 0.0759 | 0.4201 | 0.8402 | 0.8402 | nan | 0.8402 | 0.0 | 0.8402 |
|
| 224 |
-
| 0.0013 | 417.5 | 3340 | 0.0740 | 0.4434 | 0.8867 | 0.8867 | nan | 0.8867 | 0.0 | 0.8867 |
|
| 225 |
-
| 0.0057 | 420.0 | 3360 | 0.0611 | 0.4098 | 0.8196 | 0.8196 | nan | 0.8196 | 0.0 | 0.8196 |
|
| 226 |
-
| 0.0025 | 422.5 | 3380 | 0.0554 | 0.4246 | 0.8491 | 0.8491 | nan | 0.8491 | 0.0 | 0.8491 |
|
| 227 |
-
| 0.0009 | 425.0 | 3400 | 0.0778 | 0.4282 | 0.8563 | 0.8563 | nan | 0.8563 | 0.0 | 0.8563 |
|
| 228 |
-
| 0.0028 | 427.5 | 3420 | 0.0680 | 0.4317 | 0.8635 | 0.8635 | nan | 0.8635 | 0.0 | 0.8635 |
|
| 229 |
-
| 0.0023 | 430.0 | 3440 | 0.0654 | 0.4394 | 0.8788 | 0.8788 | nan | 0.8788 | 0.0 | 0.8788 |
|
| 230 |
-
| 0.0025 | 432.5 | 3460 | 0.0788 | 0.4640 | 0.9279 | 0.9279 | nan | 0.9279 | 0.0 | 0.9279 |
|
| 231 |
-
| 0.0022 | 435.0 | 3480 | 0.0643 | 0.4517 | 0.9035 | 0.9035 | nan | 0.9035 | 0.0 | 0.9035 |
|
| 232 |
-
| 0.0045 | 437.5 | 3500 | 0.0637 | 0.4307 | 0.8613 | 0.8613 | nan | 0.8613 | 0.0 | 0.8613 |
|
| 233 |
-
| 0.0035 | 440.0 | 3520 | 0.0549 | 0.4093 | 0.8186 | 0.8186 | nan | 0.8186 | 0.0 | 0.8186 |
|
| 234 |
-
| 0.0034 | 442.5 | 3540 | 0.1051 | 0.4698 | 0.9396 | 0.9396 | nan | 0.9396 | 0.0 | 0.9396 |
|
| 235 |
-
| 0.0021 | 445.0 | 3560 | 0.0800 | 0.4529 | 0.9058 | 0.9058 | nan | 0.9058 | 0.0 | 0.9058 |
|
| 236 |
-
| 0.002 | 447.5 | 3580 | 0.1074 | 0.4614 | 0.9227 | 0.9227 | nan | 0.9227 | 0.0 | 0.9227 |
|
| 237 |
-
| 0.0058 | 450.0 | 3600 | 0.0889 | 0.4463 | 0.8927 | 0.8927 | nan | 0.8927 | 0.0 | 0.8927 |
|
| 238 |
-
| 0.0025 | 452.5 | 3620 | 0.0575 | 0.4435 | 0.8869 | 0.8869 | nan | 0.8869 | 0.0 | 0.8869 |
|
| 239 |
-
| 0.0041 | 455.0 | 3640 | 0.0882 | 0.4613 | 0.9227 | 0.9227 | nan | 0.9227 | 0.0 | 0.9227 |
|
| 240 |
-
| 0.0036 | 457.5 | 3660 | 0.0688 | 0.4206 | 0.8411 | 0.8411 | nan | 0.8411 | 0.0 | 0.8411 |
|
| 241 |
-
| 0.0036 | 460.0 | 3680 | 0.0881 | 0.4253 | 0.8506 | 0.8506 | nan | 0.8506 | 0.0 | 0.8506 |
|
| 242 |
-
| 0.0024 | 462.5 | 3700 | 0.0385 | 0.3948 | 0.7897 | 0.7897 | nan | 0.7897 | 0.0 | 0.7897 |
|
| 243 |
-
| 0.0023 | 465.0 | 3720 | 0.1067 | 0.4589 | 0.9177 | 0.9177 | nan | 0.9177 | 0.0 | 0.9177 |
|
| 244 |
-
| 0.002 | 467.5 | 3740 | 0.0687 | 0.4399 | 0.8798 | 0.8798 | nan | 0.8798 | 0.0 | 0.8798 |
|
| 245 |
-
| 0.0051 | 470.0 | 3760 | 0.0754 | 0.4152 | 0.8303 | 0.8303 | nan | 0.8303 | 0.0 | 0.8303 |
|
| 246 |
-
| 0.0045 | 472.5 | 3780 | 0.0821 | 0.4523 | 0.9045 | 0.9045 | nan | 0.9045 | 0.0 | 0.9045 |
|
| 247 |
-
| 0.0006 | 475.0 | 3800 | 0.0443 | 0.3783 | 0.7565 | 0.7565 | nan | 0.7565 | 0.0 | 0.7565 |
|
| 248 |
-
| 0.0028 | 477.5 | 3820 | 0.0482 | 0.4239 | 0.8478 | 0.8478 | nan | 0.8478 | 0.0 | 0.8478 |
|
| 249 |
-
| 0.0059 | 480.0 | 3840 | 0.0990 | 0.4447 | 0.8894 | 0.8894 | nan | 0.8894 | 0.0 | 0.8894 |
|
| 250 |
-
| 0.0028 | 482.5 | 3860 | 0.0677 | 0.4387 | 0.8774 | 0.8774 | nan | 0.8774 | 0.0 | 0.8774 |
|
| 251 |
-
| 0.0052 | 485.0 | 3880 | 0.0469 | 0.4081 | 0.8163 | 0.8163 | nan | 0.8163 | 0.0 | 0.8163 |
|
| 252 |
-
| 0.0041 | 487.5 | 3900 | 0.0569 | 0.4397 | 0.8795 | 0.8795 | nan | 0.8795 | 0.0 | 0.8795 |
|
| 253 |
-
| 0.0039 | 490.0 | 3920 | 0.0341 | 0.3641 | 0.7283 | 0.7283 | nan | 0.7283 | 0.0 | 0.7283 |
|
| 254 |
-
| 0.0028 | 492.5 | 3940 | 0.0388 | 0.4405 | 0.8809 | 0.8809 | nan | 0.8809 | 0.0 | 0.8809 |
|
| 255 |
-
| 0.0038 | 495.0 | 3960 | 0.0623 | 0.3886 | 0.7772 | 0.7772 | nan | 0.7772 | 0.0 | 0.7772 |
|
| 256 |
-
| 0.0026 | 497.5 | 3980 | 0.0923 | 0.4500 | 0.8999 | 0.8999 | nan | 0.8999 | 0.0 | 0.8999 |
|
| 257 |
-
| 0.0023 | 500.0 | 4000 | 0.0550 | 0.4255 | 0.8510 | 0.8510 | nan | 0.8510 | 0.0 | 0.8510 |
|
| 258 |
-
|
| 259 |
|
| 260 |
### Framework versions
|
| 261 |
|
| 262 |
-
- Transformers 4.
|
| 263 |
-
- Pytorch 2.
|
| 264 |
-
- Datasets
|
| 265 |
-
- Tokenizers 0.
|
|
|
|
| 1 |
---
|
| 2 |
+
library_name: transformers
|
| 3 |
license: other
|
| 4 |
base_model: nvidia/mit-b0
|
| 5 |
tags:
|
|
|
|
| 16 |
|
| 17 |
# segformer-b0-finetuned-segments-sidewalk-2
|
| 18 |
|
| 19 |
+
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the amyloid-staining dataset.
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
+
- eval_loss: 0.0574
|
| 22 |
+
- eval_mean_iou: 0.4992
|
| 23 |
+
- eval_mean_accuracy: 0.9985
|
| 24 |
+
- eval_overall_accuracy: 0.9985
|
| 25 |
+
- eval_accuracy_background: nan
|
| 26 |
+
- eval_accuracy_amyloid: 0.9985
|
| 27 |
+
- eval_iou_background: 0.0
|
| 28 |
+
- eval_iou_amyloid: 0.9985
|
| 29 |
+
- eval_runtime: 27.0314
|
| 30 |
+
- eval_samples_per_second: 1.295
|
| 31 |
+
- eval_steps_per_second: 0.666
|
| 32 |
+
- epoch: 18.8889
|
| 33 |
+
- step: 340
|
| 34 |
|
| 35 |
## Model description
|
| 36 |
|
|
|
|
| 55 |
- seed: 42
|
| 56 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 57 |
- lr_scheduler_type: linear
|
| 58 |
+
- num_epochs: 50
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|
| 59 |
|
| 60 |
### Framework versions
|
| 61 |
|
| 62 |
+
- Transformers 4.44.2
|
| 63 |
+
- Pytorch 2.5.0+cu121
|
| 64 |
+
- Datasets 3.0.2
|
| 65 |
+
- Tokenizers 0.19.1
|
config.json
CHANGED
|
@@ -28,14 +28,14 @@
|
|
| 28 |
256
|
| 29 |
],
|
| 30 |
"id2label": {
|
| 31 |
-
"0": "
|
| 32 |
-
"1": "
|
| 33 |
},
|
| 34 |
"image_size": 224,
|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
@@ -74,5 +74,5 @@
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| 74 |
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|
| 75 |
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|
| 76 |
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| 77 |
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| 78 |
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| 28 |
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|
| 29 |
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| 30 |
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|
| 31 |
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"0": "background",
|
| 32 |
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| 34 |
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|
| 35 |
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| 74 |
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|
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| 76 |
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