Hugging Face's logo

fuji12345
/
segformer-finetuned-e300

Image Segmentation
Transformers
Safetensors
segformer
vision
Generated from Trainer
Model card Files Community

segformer-finetuned-e300

This model is a fine-tuned version of nvidia/mit-b0 on the fuji12345/t2i-seg-01 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4916
  • Mean Iou: 0.1667
  • Mean Accuracy: 0.3335
  • Overall Accuracy: 0.3335
  • Accuracy Normal: nan
  • Accuracy Hallucination: 0.3335
  • Iou Normal: 0.0
  • Iou Hallucination: 0.3335

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: 8
  • eval_batch_size: 8
  • seed: 1337
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: polynomial
  • num_epochs: 300.0

Training results

Training Loss Epoch Step Accuracy Hallucination Accuracy Normal Iou Hallucination Iou Normal Validation Loss Mean Accuracy Mean Iou Overall Accuracy
No log 1.0 21 nan nan 0.0 0.0 0.4468 nan 0.0 nan
No log 2.0 42 nan nan 0.0 0.0 0.2196 nan 0.0 nan
No log 3.0 63 nan nan 0.0 0.0 0.2136 nan 0.0 nan
No log 4.0 84 nan nan 0.0 0.0 0.1816 nan 0.0 nan
0.3217 5.0 105 nan nan 0.0 0.0 0.1449 nan 0.0 nan
0.3217 6.0 126 nan nan 0.0 0.0 0.1380 nan 0.0 nan
0.3217 7.0 147 nan nan 0.0 0.0 0.1239 nan 0.0 nan
0.3217 8.0 168 nan nan 0.0 0.0 0.1247 nan 0.0 nan
0.3217 9.0 189 nan nan 0.0 0.0 0.1163 nan 0.0 nan
0.1596 9.5238 200 nan nan 0.0 0.0 0.1181 nan 0.0 nan
0.0372 2.0 400 nan nan 0.0 nan 0.0207 nan 0.0 nan
0.014 3.0 600 nan nan 0.0 nan 0.0095 nan 0.0 nan
0.0078 4.0 800 nan nan 0.0 nan 0.0060 nan 0.0 nan
0.0052 5.0 1000 nan nan 0.0 nan 0.0039 nan 0.0 nan
0.0036 6.0 1200 nan nan 0.0 nan 0.0029 nan 0.0 nan
0.0028 7.0 1400 nan nan 0.0 nan 0.0022 nan 0.0 nan
0.0022 8.0 1600 nan nan 0.0 nan 0.0018 nan 0.0 nan
0.0017 9.0 1800 nan nan 0.0 nan 0.0015 nan 0.0 nan
0.0014 10.0 2000 nan nan 0.0 nan 0.0012 nan 0.0 nan
0.0012 11.0 2200 nan nan 0.0 nan 0.0010 nan 0.0 nan
0.0011 12.0 2400 nan nan 0.0 nan 0.0009 nan 0.0 nan
0.0009 13.0 2600 nan nan 0.0 nan 0.0008 nan 0.0 nan
0.0008 14.0 2800 nan nan 0.0 nan 0.0007 nan 0.0 nan
0.0007 15.0 3000 nan nan 0.0 nan 0.0006 nan 0.0 nan
0.0006 16.0 3200 nan nan 0.0 nan 0.0005 nan 0.0 nan
0.0006 17.0 3400 nan nan 0.0 nan 0.0005 nan 0.0 nan
0.0005 18.0 3600 nan nan 0.0 nan 0.0004 nan 0.0 nan
0.0005 19.0 3800 nan nan 0.0 nan 0.0004 nan 0.0 nan
0.0004 20.0 4000 nan nan 0.0 nan 0.0004 nan 0.0 nan
0.0004 21.0 4200 nan nan 0.0 nan 0.0003 nan 0.0 nan
0.0004 22.0 4400 nan nan 0.0 nan 0.0003 nan 0.0 nan
0.0003 23.0 4600 nan nan 0.0 nan 0.0003 nan 0.0 nan
0.0003 24.0 4800 nan nan 0.0 nan 0.0003 nan 0.0 nan
0.0003 25.0 5000 nan nan 0.0 nan 0.0003 nan 0.0 nan
0.0003 26.0 5200 nan nan 0.0 nan 0.0002 nan 0.0 nan
0.0003 27.0 5400 nan nan 0.0 nan 0.0002 nan 0.0 nan
0.0003 28.0 5600 nan nan 0.0 nan 0.0002 nan 0.0 nan
0.0003 29.0 5800 nan nan 0.0 nan 0.0002 nan 0.0 nan
0.0003 30.0 6000 nan nan 0.0 nan 0.0002 nan 0.0 nan
0.3863 31.0 6200 0.3509 0.0 0.0 0.0 nan 0.0 0.0 0.0
0.3663 32.0 6400 0.3449 0.0 0.0 0.0 nan 0.0 0.0 0.0
0.3563 33.0 6600 0.3311 0.0 0.0 0.0 nan 0.0 0.0 0.0
0.3449 34.0 6800 0.3255 0.0 0.0 0.0 nan 0.0 0.0 0.0
0.3436 35.0 7000 0.3307 0.0051 0.0103 0.0103 nan 0.0103 0.0 0.0103
0.3563 36.0 7200 0.3274 0.0109 0.0218 0.0218 nan 0.0218 0.0 0.0218
0.3238 37.0 7400 0.3198 0.0790 0.1581 0.1581 nan 0.1581 0.0 0.1581
0.3264 38.0 7600 0.3559 0.0124 0.0247 0.0247 nan 0.0247 0.0 0.0247
0.2876 39.0 7800 0.3287 0.0381 0.0763 0.0763 nan 0.0763 0.0 0.0763
0.3015 40.0 8000 0.3155 0.0277 0.0554 0.0554 nan 0.0554 0.0 0.0554
0.3091 41.0 8200 0.3529 0.0132 0.0263 0.0263 nan 0.0263 0.0 0.0263
0.2939 42.0 8400 0.3105 0.1305 0.2609 0.2609 nan 0.2609 0.0 0.2609
0.2852 43.0 8600 0.3335 0.0190 0.0380 0.0380 nan 0.0380 0.0 0.0380
0.2775 44.0 8800 0.3325 0.0381 0.0762 0.0762 nan 0.0762 0.0 0.0762
0.273 45.0 9000 0.3285 0.0835 0.1669 0.1669 nan 0.1669 0.0 0.1669
0.271 46.0 9200 0.3186 0.0519 0.1039 0.1039 nan 0.1039 0.0 0.1039
0.3177 47.0 9400 0.3264 0.0378 0.0756 0.0756 nan 0.0756 0.0 0.0756
0.2561 48.0 9600 0.2901 0.0987 0.1974 0.1974 nan 0.1974 0.0 0.1974
0.2707 49.0 9800 0.3176 0.0903 0.1807 0.1807 nan 0.1807 0.0 0.1807
0.2658 50.0 10000 0.3148 0.0465 0.0930 0.0930 nan 0.0930 0.0 0.0930
0.2433 51.0 10200 0.3042 0.0735 0.1470 0.1470 nan 0.1470 0.0 0.1470
0.2489 52.0 10400 0.2871 0.1168 0.2336 0.2336 nan 0.2336 0.0 0.2336
0.2542 53.0 10600 0.2724 0.1409 0.2819 0.2819 nan 0.2819 0.0 0.2819
0.2683 54.0 10800 0.2767 0.1094 0.2189 0.2189 nan 0.2189 0.0 0.2189
0.2473 55.0 11000 0.2957 0.1457 0.2915 0.2915 nan 0.2915 0.0 0.2915
0.2296 56.0 11200 0.3183 0.0671 0.1343 0.1343 nan 0.1343 0.0 0.1343
0.2359 57.0 11400 0.3185 0.0603 0.1206 0.1206 nan 0.1206 0.0 0.1206
0.2609 58.0 11600 0.3024 0.1323 0.2645 0.2645 nan 0.2645 0.0 0.2645
0.2577 59.0 11800 0.3330 0.0746 0.1492 0.1492 nan 0.1492 0.0 0.1492
0.2296 60.0 12000 0.3051 0.1009 0.2017 0.2017 nan 0.2017 0.0 0.2017
0.2389 61.0 12200 0.3493 0.0740 0.1479 0.1479 nan 0.1479 0.0 0.1479
0.2307 62.0 12400 0.2955 0.2280 0.4560 0.4560 nan 0.4560 0.0 0.4560
0.2364 63.0 12600 0.3018 0.1304 0.2607 0.2607 nan 0.2607 0.0 0.2607
0.2362 64.0 12800 0.3658 0.0673 0.1346 0.1346 nan 0.1346 0.0 0.1346
0.2198 65.0 13000 0.3355 0.0798 0.1595 0.1595 nan 0.1595 0.0 0.1595
0.2368 66.0 13200 0.2951 0.1379 0.2758 0.2758 nan 0.2758 0.0 0.2758
0.2094 67.0 13400 0.3200 0.0869 0.1739 0.1739 nan 0.1739 0.0 0.1739
0.2189 68.0 13600 0.3350 0.0969 0.1938 0.1938 nan 0.1938 0.0 0.1938
0.206 69.0 13800 0.3307 0.1245 0.2489 0.2489 nan 0.2489 0.0 0.2489
0.2194 70.0 14000 0.3538 0.0615 0.1231 0.1231 nan 0.1231 0.0 0.1231
0.2043 71.0 14200 0.3206 0.0994 0.1988 0.1988 nan 0.1988 0.0 0.1988
0.2004 72.0 14400 0.3028 0.1384 0.2768 0.2768 nan 0.2768 0.0 0.2768
0.2097 73.0 14600 0.3521 0.1193 0.2386 0.2386 nan 0.2386 0.0 0.2386
0.1835 74.0 14800 0.3546 0.1214 0.2428 0.2428 nan 0.2428 0.0 0.2428
0.205 75.0 15000 0.3291 0.0999 0.1999 0.1999 nan 0.1999 0.0 0.1999
0.1994 76.0 15200 0.3340 0.0769 0.1537 0.1537 nan 0.1537 0.0 0.1537
0.1973 77.0 15400 0.3124 0.1802 0.3604 0.3604 nan 0.3604 0.0 0.3604
0.1942 78.0 15600 0.3522 0.0889 0.1777 0.1777 nan 0.1777 0.0 0.1777
0.1753 79.0 15800 0.3308 0.1629 0.3257 0.3257 nan 0.3257 0.0 0.3257
0.1862 80.0 16000 0.3474 0.1013 0.2026 0.2026 nan 0.2026 0.0 0.2026
0.2032 81.0 16200 0.3042 0.1799 0.3599 0.3599 nan 0.3599 0.0 0.3599
0.1746 82.0 16400 0.3452 0.1168 0.2336 0.2336 nan 0.2336 0.0 0.2336
0.2017 83.0 16600 0.3392 0.1316 0.2632 0.2632 nan 0.2632 0.0 0.2632
0.1723 84.0 16800 0.3105 0.2185 0.4370 0.4370 nan 0.4370 0.0 0.4370
0.1756 85.0 17000 0.3224 0.1250 0.2501 0.2501 nan 0.2501 0.0 0.2501
0.165 86.0 17200 0.3527 0.1024 0.2047 0.2047 nan 0.2047 0.0 0.2047
0.1642 87.0 17400 0.3347 0.1254 0.2508 0.2508 nan 0.2508 0.0 0.2508
0.1801 88.0 17600 0.3297 0.1228 0.2456 0.2456 nan 0.2456 0.0 0.2456
0.166 89.0 17800 0.2994 0.2059 0.4119 0.4119 nan 0.4119 0.0 0.4119
0.1854 90.0 18000 0.3618 0.1591 0.3182 0.3182 nan 0.3182 0.0 0.3182
0.1645 91.0 18200 0.3185 0.1681 0.3362 0.3362 nan 0.3362 0.0 0.3362
0.1594 92.0 18400 0.2970 0.1969 0.3939 0.3939 nan 0.3939 0.0 0.3939
0.1585 93.0 18600 0.3421 0.1637 0.3275 0.3275 nan 0.3275 0.0 0.3275
0.157 94.0 18800 0.3398 0.2062 0.4124 0.4124 nan 0.4124 0.0 0.4124
0.1504 95.0 19000 0.3301 0.1930 0.3860 0.3860 nan 0.3860 0.0 0.3860
0.1723 96.0 19200 0.4179 0.0796 0.1592 0.1592 nan 0.1592 0.0 0.1592
0.1498 97.0 19400 0.3558 0.1449 0.2898 0.2898 nan 0.2898 0.0 0.2898
0.1434 98.0 19600 0.3500 0.1437 0.2874 0.2874 nan 0.2874 0.0 0.2874
0.1482 99.0 19800 0.3889 0.1434 0.2869 0.2869 nan 0.2869 0.0 0.2869
0.1611 100.0 20000 0.3552 0.1443 0.2885 0.2885 nan 0.2885 0.0 0.2885
0.1458 101.0 20200 0.3581 0.1546 0.3093 0.3093 nan 0.3093 0.0 0.3093
0.1715 102.0 20400 0.2979 0.2220 0.4440 0.4440 nan 0.4440 0.0 0.4440
0.1448 103.0 20600 0.3976 0.1216 0.2433 0.2433 nan 0.2433 0.0 0.2433
0.1618 104.0 20800 0.3676 0.1308 0.2616 0.2616 nan 0.2616 0.0 0.2616
0.1505 105.0 21000 0.3864 0.1239 0.2478 0.2478 nan 0.2478 0.0 0.2478
0.1429 106.0 21200 0.3338 0.1486 0.2972 0.2972 nan 0.2972 0.0 0.2972
0.1603 107.0 21400 0.3180 0.1818 0.3635 0.3635 nan 0.3635 0.0 0.3635
0.1315 108.0 21600 0.3249 0.1929 0.3858 0.3858 nan 0.3858 0.0 0.3858
0.1529 109.0 21800 0.3415 0.1390 0.2781 0.2781 nan 0.2781 0.0 0.2781
0.1411 110.0 22000 0.3496 0.1615 0.3231 0.3231 nan 0.3231 0.0 0.3231
0.1436 111.0 22200 0.3561 0.1728 0.3457 0.3457 nan 0.3457 0.0 0.3457
0.1435 112.0 22400 0.3210 0.2288 0.4576 0.4576 nan 0.4576 0.0 0.4576
0.1399 113.0 22600 0.3329 0.2105 0.4211 0.4211 nan 0.4211 0.0 0.4211
0.1502 114.0 22800 0.3317 0.2070 0.4140 0.4140 nan 0.4140 0.0 0.4140
0.1278 115.0 23000 0.3524 0.1437 0.2873 0.2873 nan 0.2873 0.0 0.2873
0.1404 116.0 23200 0.4152 0.1668 0.3337 0.3337 nan 0.3337 0.0 0.3337
0.1509 117.0 23400 0.3999 0.1182 0.2365 0.2365 nan 0.2365 0.0 0.2365
0.1318 118.0 23600 0.3659 0.1791 0.3583 0.3583 nan 0.3583 0.0 0.3583
0.1415 119.0 23800 0.3563 0.1570 0.3139 0.3139 nan 0.3139 0.0 0.3139
0.1314 120.0 24000 0.3923 0.1296 0.2593 0.2593 nan 0.2593 0.0 0.2593
0.1352 121.0 24200 0.3806 0.1428 0.2856 0.2856 nan 0.2856 0.0 0.2856
0.1246 122.0 24400 0.3655 0.1824 0.3648 0.3648 nan 0.3648 0.0 0.3648
0.1304 123.0 24600 0.3684 0.1489 0.2977 0.2977 nan 0.2977 0.0 0.2977
0.1336 124.0 24800 0.3557 0.1777 0.3554 0.3554 nan 0.3554 0.0 0.3554
0.1298 125.0 25000 0.3803 0.1568 0.3137 0.3137 nan 0.3137 0.0 0.3137
0.1415 126.0 25200 0.3505 0.2155 0.4310 0.4310 nan 0.4310 0.0 0.4310
0.1379 127.0 25400 0.3882 0.1559 0.3117 0.3117 nan 0.3117 0.0 0.3117
0.1404 128.0 25600 0.4062 0.1630 0.3261 0.3261 nan 0.3261 0.0 0.3261
0.1139 129.0 25800 0.3952 0.1484 0.2968 0.2968 nan 0.2968 0.0 0.2968
0.1248 130.0 26000 0.4175 0.1519 0.3037 0.3037 nan 0.3037 0.0 0.3037
0.1327 131.0 26200 0.4188 0.1596 0.3193 0.3193 nan 0.3193 0.0 0.3193
0.1196 132.0 26400 0.3954 0.1555 0.3110 0.3110 nan 0.3110 0.0 0.3110
0.1368 133.0 26600 0.3569 0.1999 0.3998 0.3998 nan 0.3998 0.0 0.3998
0.1082 134.0 26800 0.4083 0.1299 0.2597 0.2597 nan 0.2597 0.0 0.2597
0.1208 135.0 27000 0.3600 0.1744 0.3487 0.3487 nan 0.3487 0.0 0.3487
0.1291 136.0 27200 0.3654 0.1714 0.3428 0.3428 nan 0.3428 0.0 0.3428
0.1187 137.0 27400 0.3945 0.1727 0.3453 0.3453 nan 0.3453 0.0 0.3453
0.1109 138.0 27600 0.4242 0.1790 0.3579 0.3579 nan 0.3579 0.0 0.3579
0.124 139.0 27800 0.3865 0.1699 0.3399 0.3399 nan 0.3399 0.0 0.3399
0.106 140.0 28000 0.3950 0.1897 0.3793 0.3793 nan 0.3793 0.0 0.3793
0.1208 141.0 28200 0.4181 0.1561 0.3122 0.3122 nan 0.3122 0.0 0.3122
0.1199 142.0 28400 0.3747 0.1872 0.3745 0.3745 nan 0.3745 0.0 0.3745
0.1181 143.0 28600 0.4158 0.1831 0.3662 0.3662 nan 0.3662 0.0 0.3662
0.1192 144.0 28800 0.4764 0.1040 0.2080 0.2080 nan 0.2080 0.0 0.2080
0.1388 145.0 29000 0.3644 0.1885 0.3770 0.3770 nan 0.3770 0.0 0.3770
0.1163 146.0 29200 0.4045 0.1505 0.3010 0.3010 nan 0.3010 0.0 0.3010
0.1062 147.0 29400 0.4440 0.1596 0.3192 0.3192 nan 0.3192 0.0 0.3192
0.1056 148.0 29600 0.3610 0.2258 0.4515 0.4515 nan 0.4515 0.0 0.4515
0.1031 149.0 29800 0.4054 0.1790 0.3580 0.3580 nan 0.3580 0.0 0.3580
0.1067 150.0 30000 0.4192 0.1701 0.3402 0.3402 nan 0.3402 0.0 0.3402
0.1073 151.0 30200 0.4244 0.1607 0.3214 0.3214 nan 0.3214 0.0 0.3214
0.1012 152.0 30400 0.3834 0.1776 0.3553 0.3553 nan 0.3553 0.0 0.3553
0.1401 153.0 30600 0.3860 0.1813 0.3625 0.3625 nan 0.3625 0.0 0.3625
0.0952 154.0 30800 0.3846 0.1776 0.3553 0.3553 nan 0.3553 0.0 0.3553
0.107 155.0 31000 0.4437 0.1360 0.2720 0.2720 nan 0.2720 0.0 0.2720
0.0928 156.0 31200 0.4810 0.1399 0.2799 0.2799 nan 0.2799 0.0 0.2799
0.1014 157.0 31400 0.4275 0.1579 0.3158 0.3158 nan 0.3158 0.0 0.3158
0.1048 158.0 31600 0.4289 0.1580 0.3160 0.3160 nan 0.3160 0.0 0.3160
0.1069 159.0 31800 0.4172 0.1793 0.3585 0.3585 nan 0.3585 0.0 0.3585
0.0905 160.0 32000 0.4604 0.1479 0.2958 0.2958 nan 0.2958 0.0 0.2958
0.1061 161.0 32200 0.4001 0.1837 0.3674 0.3674 nan 0.3674 0.0 0.3674
0.1098 162.0 32400 0.3794 0.1994 0.3987 0.3987 nan 0.3987 0.0 0.3987
0.1064 163.0 32600 0.4152 0.1815 0.3629 0.3629 nan 0.3629 0.0 0.3629
0.0907 164.0 32800 0.4278 0.1724 0.3447 0.3447 nan 0.3447 0.0 0.3447
0.0982 165.0 33000 0.3928 0.1833 0.3666 0.3666 nan 0.3666 0.0 0.3666
0.1118 166.0 33200 0.3973 0.1823 0.3647 0.3647 nan 0.3647 0.0 0.3647
0.0851 167.0 33400 0.4348 0.1362 0.2724 0.2724 nan 0.2724 0.0 0.2724
0.0969 168.0 33600 0.4289 0.1469 0.2938 0.2938 nan 0.2938 0.0 0.2938
0.0846 169.0 33800 0.4067 0.1943 0.3887 0.3887 nan 0.3887 0.0 0.3887
0.104 170.0 34000 0.4138 0.2032 0.4064 0.4064 nan 0.4064 0.0 0.4064
0.0953 171.0 34200 0.4546 0.1566 0.3131 0.3131 nan 0.3131 0.0 0.3131
0.0904 172.0 34400 0.4305 0.1682 0.3364 0.3364 nan 0.3364 0.0 0.3364
0.1049 173.0 34600 0.4279 0.1909 0.3817 0.3817 nan 0.3817 0.0 0.3817
0.0896 174.0 34800 0.4234 0.1818 0.3635 0.3635 nan 0.3635 0.0 0.3635
0.0844 175.0 35000 0.3966 0.1820 0.3640 0.3640 nan 0.3640 0.0 0.3640
0.0924 176.0 35200 0.4198 0.1936 0.3871 0.3871 nan 0.3871 0.0 0.3871
0.0915 177.0 35400 0.4725 0.1273 0.2545 0.2545 nan 0.2545 0.0 0.2545
0.0809 178.0 35600 0.4902 0.1346 0.2693 0.2693 nan 0.2693 0.0 0.2693
0.0826 179.0 35800 0.4810 0.1375 0.2750 0.2750 nan 0.2750 0.0 0.2750
0.0946 180.0 36000 0.4850 0.1579 0.3157 0.3157 nan 0.3157 0.0 0.3157
0.0998 181.0 36200 0.4144 0.1757 0.3514 0.3514 nan 0.3514 0.0 0.3514
0.0853 182.0 36400 0.4106 0.1865 0.3730 0.3730 nan 0.3730 0.0 0.3730
0.0929 183.0 36600 0.4150 0.1760 0.3520 0.3520 nan 0.3520 0.0 0.3520
0.0841 184.0 36800 0.4080 0.1833 0.3667 0.3667 nan 0.3667 0.0 0.3667
0.0968 185.0 37000 0.4380 0.1606 0.3213 0.3213 nan 0.3213 0.0 0.3213
0.0969 186.0 37200 0.4411 0.1477 0.2955 0.2955 nan 0.2955 0.0 0.2955
0.0766 187.0 37400 0.4158 0.1885 0.3770 0.3770 nan 0.3770 0.0 0.3770
0.0942 188.0 37600 0.4429 0.1632 0.3265 0.3265 nan 0.3265 0.0 0.3265
0.088 189.0 37800 0.4197 0.2039 0.4078 0.4078 nan 0.4078 0.0 0.4078
0.1127 190.0 38000 0.4447 0.1986 0.3972 0.3972 nan 0.3972 0.0 0.3972
0.0877 191.0 38200 0.4299 0.1790 0.3579 0.3579 nan 0.3579 0.0 0.3579
0.0822 192.0 38400 0.4455 0.1606 0.3211 0.3211 nan 0.3211 0.0 0.3211
0.0878 193.0 38600 0.4550 0.1531 0.3061 0.3061 nan 0.3061 0.0 0.3061
0.0778 194.0 38800 0.4967 0.1439 0.2879 0.2879 nan 0.2879 0.0 0.2879
0.0791 195.0 39000 0.4543 0.1784 0.3568 0.3568 nan 0.3568 0.0 0.3568
0.091 196.0 39200 0.4568 0.1772 0.3544 0.3544 nan 0.3544 0.0 0.3544
0.0773 197.0 39400 0.4261 0.1766 0.3531 0.3531 nan 0.3531 0.0 0.3531
0.0888 198.0 39600 0.4710 0.1770 0.3540 0.3540 nan 0.3540 0.0 0.3540
0.0864 199.0 39800 0.4497 0.1718 0.3436 0.3436 nan 0.3436 0.0 0.3436
0.0749 200.0 40000 0.4302 0.1758 0.3515 0.3515 nan 0.3515 0.0 0.3515
0.0849 201.0 40200 0.4738 0.1593 0.3187 0.3187 nan 0.3187 0.0 0.3187
0.0727 202.0 40400 0.5169 0.1392 0.2784 0.2784 nan 0.2784 0.0 0.2784
0.076 203.0 40600 0.4296 0.1833 0.3667 0.3667 nan 0.3667 0.0 0.3667
0.0832 204.0 40800 0.4600 0.1804 0.3608 0.3608 nan 0.3608 0.0 0.3608
0.1003 205.0 41000 0.4732 0.1383 0.2767 0.2767 nan 0.2767 0.0 0.2767
0.0765 206.0 41200 0.4839 0.1625 0.3250 0.3250 nan 0.3250 0.0 0.3250
0.0983 207.0 41400 0.4489 0.1958 0.3916 0.3916 nan 0.3916 0.0 0.3916
0.0854 208.0 41600 0.4425 0.1763 0.3526 0.3526 nan 0.3526 0.0 0.3526
0.0742 209.0 41800 0.4470 0.1555 0.3110 0.3110 nan 0.3110 0.0 0.3110
0.0743 210.0 42000 0.5047 0.1411 0.2821 0.2821 nan 0.2821 0.0 0.2821
0.0764 211.0 42200 0.4252 0.2074 0.4149 0.4149 nan 0.4149 0.0 0.4149
0.0779 212.0 42400 0.4772 0.1463 0.2927 0.2927 nan 0.2927 0.0 0.2927
0.092 213.0 42600 0.4905 0.1428 0.2856 0.2856 nan 0.2856 0.0 0.2856
0.0756 214.0 42800 0.4657 0.1668 0.3336 0.3336 nan 0.3336 0.0 0.3336
0.0896 215.0 43000 0.4542 0.1620 0.3240 0.3240 nan 0.3240 0.0 0.3240
0.0709 216.0 43200 0.4828 0.1585 0.3170 0.3170 nan 0.3170 0.0 0.3170
0.0841 217.0 43400 0.4861 0.1549 0.3099 0.3099 nan 0.3099 0.0 0.3099
0.0905 218.0 43600 0.5044 0.1656 0.3313 0.3313 nan 0.3313 0.0 0.3313
0.0824 219.0 43800 0.4952 0.1415 0.2829 0.2829 nan 0.2829 0.0 0.2829
0.0763 220.0 44000 0.4828 0.1473 0.2946 0.2946 nan 0.2946 0.0 0.2946
0.069 221.0 44200 0.5279 0.1378 0.2756 0.2756 nan 0.2756 0.0 0.2756
0.0754 222.0 44400 0.4968 0.1639 0.3277 0.3277 nan 0.3277 0.0 0.3277
0.0698 223.0 44600 0.4330 0.1791 0.3582 0.3582 nan 0.3582 0.0 0.3582
0.0782 224.0 44800 0.4973 0.1476 0.2952 0.2952 nan 0.2952 0.0 0.2952
0.0837 225.0 45000 0.4926 0.1830 0.3660 0.3660 nan 0.3660 0.0 0.3660
0.0784 226.0 45200 0.4883 0.1751 0.3502 0.3502 nan 0.3502 0.0 0.3502
0.0715 227.0 45400 0.5459 0.1419 0.2838 0.2838 nan 0.2838 0.0 0.2838
0.0739 228.0 45600 0.5471 0.1509 0.3018 0.3018 nan 0.3018 0.0 0.3018
0.0722 229.0 45800 0.4645 0.1761 0.3522 0.3522 nan 0.3522 0.0 0.3522
0.0777 230.0 46000 0.4787 0.1775 0.3550 0.3550 nan 0.3550 0.0 0.3550
0.0804 231.0 46200 0.4783 0.1717 0.3435 0.3435 nan 0.3435 0.0 0.3435
0.0762 232.0 46400 0.4301 0.1811 0.3623 0.3623 nan 0.3623 0.0 0.3623
0.07 233.0 46600 0.4978 0.1657 0.3315 0.3315 nan 0.3315 0.0 0.3315
0.0656 234.0 46800 0.4942 0.1628 0.3256 0.3256 nan 0.3256 0.0 0.3256
0.0653 235.0 47000 0.4773 0.1633 0.3267 0.3267 nan 0.3267 0.0 0.3267
0.0719 236.0 47200 0.4606 0.1863 0.3726 0.3726 nan 0.3726 0.0 0.3726
0.0813 237.0 47400 0.4666 0.1713 0.3427 0.3427 nan 0.3427 0.0 0.3427
0.074 238.0 47600 0.4619 0.1870 0.3740 0.3740 nan 0.3740 0.0 0.3740
0.0657 239.0 47800 0.4785 0.1580 0.3160 0.3160 nan 0.3160 0.0 0.3160
0.0699 240.0 48000 0.4868 0.1625 0.3250 0.3250 nan 0.3250 0.0 0.3250
0.07 241.0 48200 0.4609 0.1768 0.3535 0.3535 nan 0.3535 0.0 0.3535
0.0657 242.0 48400 0.4922 0.1744 0.3489 0.3489 nan 0.3489 0.0 0.3489
0.0701 243.0 48600 0.5228 0.1563 0.3126 0.3126 nan 0.3126 0.0 0.3126
0.0713 244.0 48800 0.4929 0.1558 0.3116 0.3116 nan 0.3116 0.0 0.3116
0.0722 245.0 49000 0.4586 0.1810 0.3620 0.3620 nan 0.3620 0.0 0.3620
0.0627 246.0 49200 0.4928 0.1552 0.3103 0.3103 nan 0.3103 0.0 0.3103
0.0688 247.0 49400 0.5193 0.1531 0.3063 0.3063 nan 0.3063 0.0 0.3063
0.0671 248.0 49600 0.4756 0.1916 0.3832 0.3832 nan 0.3832 0.0 0.3832
0.0583 249.0 49800 0.5171 0.1532 0.3064 0.3064 nan 0.3064 0.0 0.3064
0.0702 250.0 50000 0.4813 0.1711 0.3421 0.3421 nan 0.3421 0.0 0.3421
0.0723 251.0 50200 0.4808 0.1623 0.3246 0.3246 nan 0.3246 0.0 0.3246
0.0556 252.0 50400 0.4696 0.1831 0.3663 0.3663 nan 0.3663 0.0 0.3663
0.0673 253.0 50600 0.4599 0.1897 0.3793 0.3793 nan 0.3793 0.0 0.3793
0.0696 254.0 50800 0.4847 0.1684 0.3367 0.3367 nan 0.3367 0.0 0.3367
0.0624 255.0 51000 0.5151 0.1586 0.3172 0.3172 nan 0.3172 0.0 0.3172
0.0697 256.0 51200 0.5099 0.1585 0.3169 0.3169 nan 0.3169 0.0 0.3169
0.0613 257.0 51400 0.4962 0.1693 0.3385 0.3385 nan 0.3385 0.0 0.3385
0.0641 258.0 51600 0.5652 0.1417 0.2834 0.2834 nan 0.2834 0.0 0.2834
0.0648 259.0 51800 0.5027 0.1554 0.3108 0.3108 nan 0.3108 0.0 0.3108
0.0617 260.0 52000 0.4845 0.1856 0.3712 0.3712 nan 0.3712 0.0 0.3712
0.0662 261.0 52200 0.4792 0.1738 0.3477 0.3477 nan 0.3477 0.0 0.3477
0.0701 262.0 52400 0.5169 0.1763 0.3526 0.3526 nan 0.3526 0.0 0.3526
0.0718 263.0 52600 0.4892 0.1725 0.3449 0.3449 nan 0.3449 0.0 0.3449
0.0681 264.0 52800 0.4890 0.1795 0.3589 0.3589 nan 0.3589 0.0 0.3589
0.0663 265.0 53000 0.5337 0.1511 0.3023 0.3023 nan 0.3023 0.0 0.3023
0.0732 266.0 53200 0.5129 0.1678 0.3355 0.3355 nan 0.3355 0.0 0.3355
0.0667 267.0 53400 0.5392 0.1557 0.3113 0.3113 nan 0.3113 0.0 0.3113
0.0655 268.0 53600 0.5116 0.1395 0.2789 0.2789 nan 0.2789 0.0 0.2789
0.0712 269.0 53800 0.4868 0.1745 0.3491 0.3491 nan 0.3491 0.0 0.3491
0.0613 270.0 54000 0.5079 0.1602 0.3204 0.3204 nan 0.3204 0.0 0.3204
0.0638 271.0 54200 0.5035 0.1608 0.3216 0.3216 nan 0.3216 0.0 0.3216
0.07 272.0 54400 0.4959 0.1649 0.3298 0.3298 nan 0.3298 0.0 0.3298
0.0605 273.0 54600 0.5098 0.1634 0.3269 0.3269 nan 0.3269 0.0 0.3269
0.0766 274.0 54800 0.4912 0.1731 0.3463 0.3463 nan 0.3463 0.0 0.3463
0.0703 275.0 55000 0.4843 0.1601 0.3201 0.3201 nan 0.3201 0.0 0.3201
0.0581 276.0 55200 0.4665 0.1640 0.3280 0.3280 nan 0.3280 0.0 0.3280
0.0699 277.0 55400 0.4574 0.1776 0.3552 0.3552 nan 0.3552 0.0 0.3552
0.058 278.0 55600 0.4847 0.1756 0.3511 0.3511 nan 0.3511 0.0 0.3511
0.0686 279.0 55800 0.5274 0.1528 0.3055 0.3055 nan 0.3055 0.0 0.3055
0.0576 280.0 56000 0.4540 0.1798 0.3596 0.3596 nan 0.3596 0.0 0.3596
0.0559 281.0 56200 0.5078 0.1677 0.3354 0.3354 nan 0.3354 0.0 0.3354
0.0604 282.0 56400 0.4987 0.1665 0.3330 0.3330 nan 0.3330 0.0 0.3330
0.0639 283.0 56600 0.4881 0.1606 0.3213 0.3213 nan 0.3213 0.0 0.3213
0.0645 284.0 56800 0.4821 0.1753 0.3506 0.3506 nan 0.3506 0.0 0.3506
0.06 285.0 57000 0.5155 0.1660 0.3320 0.3320 nan 0.3320 0.0 0.3320
0.065 286.0 57200 0.4960 0.1695 0.3390 0.3390 nan 0.3390 0.0 0.3390
0.0606 287.0 57400 0.4813 0.1741 0.3481 0.3481 nan 0.3481 0.0 0.3481
0.0628 288.0 57600 0.5220 0.1678 0.3356 0.3356 nan 0.3356 0.0 0.3356
0.0607 289.0 57800 0.4892 0.1788 0.3577 0.3577 nan 0.3577 0.0 0.3577
0.0585 290.0 58000 0.5029 0.1613 0.3227 0.3227 nan 0.3227 0.0 0.3227
0.0532 291.0 58200 0.4909 0.1689 0.3378 0.3378 nan 0.3378 0.0 0.3378
0.0575 292.0 58400 0.4877 0.1649 0.3299 0.3299 nan 0.3299 0.0 0.3299
0.0573 293.0 58600 0.5360 0.1580 0.3161 0.3161 nan 0.3161 0.0 0.3161
0.0602 294.0 58800 0.5095 0.1615 0.3230 0.3230 nan 0.3230 0.0 0.3230
0.0646 295.0 59000 0.5142 0.1614 0.3228 0.3228 nan 0.3228 0.0 0.3228
0.0583 296.0 59200 0.4907 0.1635 0.3270 0.3270 nan 0.3270 0.0 0.3270
0.0595 297.0 59400 0.5081 0.1619 0.3238 0.3238 nan 0.3238 0.0 0.3238
0.0664 298.0 59600 0.5236 0.1608 0.3217 0.3217 nan 0.3217 0.0 0.3217
0.0675 299.0 59800 0.5317 0.1611 0.3222 0.3222 nan 0.3222 0.0 0.3222
0.0619 300.0 60000 0.4916 0.1667 0.3335 0.3335 nan 0.3335 0.0 0.3335

Framework versions

  • Transformers 4.53.0.dev0
  • Pytorch 2.6.0+cu124
  • Datasets 3.6.0
  • Tokenizers 0.21.1
Downloads last month
120
Safetensors
Model size
3.72M params
Tensor type
F32
·
Inference Providers NEW
Image Segmentation
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for fuji12345/segformer-finetuned-e300

Base model

nvidia/mit-b0
Finetuned
(428)
this model

Evaluation results

Metadata error: specify a dataset to view leaderboard