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End of training

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@@ -15,12 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [nvidia/mit-b3](https://huggingface.co/nvidia/mit-b3) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1565
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- - Mean Iou: 0.7861
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- - Mean Accuracy: 0.8675
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- - Overall Accuracy: 0.9459
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- - Per Category Iou: [0.9403407357445772, 0.6318399840728189]
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- - Per Category Accuracy: [0.9710837035497308, 0.7638247131743141]
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  ## Model description
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@@ -51,36 +51,36 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Per Category Iou | Per Category Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:-------------:|:----------------:|:----------------------------------------:|:----------------------------------------:|
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- | 0.0823 | 1.0 | 514 | 0.1854 | 0.7127 | 0.7910 | 0.9269 | [0.9210383806308944, 0.5042918262988731] | [0.9705715523625104, 0.6114988388304967] |
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- | 0.0687 | 2.0 | 1028 | 0.1841 | 0.7393 | 0.8432 | 0.9292 | [0.9223533231277112, 0.5562647361107461] | [0.9568919509142975, 0.729491028137852] |
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- | 0.1894 | 3.0 | 1542 | 0.1778 | 0.7398 | 0.8404 | 0.9300 | [0.9232526693838075, 0.5563397693217451] | [0.958784482352132, 0.7219834134333204] |
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- | 0.7538 | 4.0 | 2056 | 0.1772 | 0.7416 | 0.8359 | 0.9317 | [0.9252002744357394, 0.5579050317848258] | [0.9624271178784354, 0.7093339081402684] |
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- | 0.114 | 5.0 | 2570 | 0.1715 | 0.7477 | 0.8323 | 0.9352 | [0.9291644605624902, 0.5663348012087291] | [0.9682212065124535, 0.6963471385392261] |
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- | 0.2602 | 6.0 | 3084 | 0.1628 | 0.7522 | 0.8255 | 0.9384 | [0.9328512114347738, 0.5716309109545779] | [0.9746503265081415, 0.6763104945971122] |
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- | 0.0449 | 7.0 | 3598 | 0.1646 | 0.7564 | 0.8429 | 0.9372 | [0.9311867725956636, 0.5817017708483792] | [0.9675049740765689, 0.7182516075487344] |
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- | 0.3232 | 8.0 | 4112 | 0.1629 | 0.7505 | 0.8172 | 0.9391 | [0.9338111104403589, 0.5670995709520322] | [0.9782553311094724, 0.6561807648822252] |
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- | 0.5253 | 9.0 | 4626 | 0.1692 | 0.7591 | 0.8656 | 0.9346 | [0.927839360080974, 0.5902658658166116] | [0.9568132965794497, 0.7744158284256216] |
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- | 0.2831 | 10.0 | 5140 | 0.1696 | 0.7582 | 0.8544 | 0.9361 | [0.929666702131827, 0.5867196051740685] | [0.9622762425764686, 0.7466089251133196] |
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- | 0.1156 | 11.0 | 5654 | 0.1650 | 0.7597 | 0.8538 | 0.9368 | [0.9305677111384715, 0.5889272788978366] | [0.9635390166837846, 0.7440459085851031] |
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- | 0.1219 | 12.0 | 6168 | 0.1628 | 0.7691 | 0.8611 | 0.9398 | [0.9336816581722548, 0.6046120174129817] | [0.9650616817423817, 0.7572113671732611] |
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- | 0.2278 | 13.0 | 6682 | 0.1595 | 0.7706 | 0.8531 | 0.9416 | [0.9358804294399143, 0.6052538747817555] | [0.9700634208422755, 0.7361460430652129] |
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- | 0.0709 | 14.0 | 7196 | 0.1659 | 0.7672 | 0.8542 | 0.9400 | [0.9340658745878584, 0.600268583614642] | [0.9675667230034556, 0.7409090690667602] |
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- | 0.1536 | 15.0 | 7710 | 0.1585 | 0.7738 | 0.8516 | 0.9432 | [0.9376439019013373, 0.6099064919226352] | [0.9726173252892607, 0.7305525217251622] |
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- | 0.1594 | 16.0 | 8224 | 0.1596 | 0.7769 | 0.8651 | 0.9425 | [0.9366024648456509, 0.6172773587238504] | [0.9673430850771165, 0.7629001710004867] |
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- | 0.0789 | 17.0 | 8738 | 0.1577 | 0.7745 | 0.8499 | 0.9437 | [0.9382865730369421, 0.6106973639701876] | [0.9738904193926676, 0.7258834052642887] |
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- | 0.057 | 18.0 | 9252 | 0.1608 | 0.7769 | 0.8643 | 0.9426 | [0.9367437147934611, 0.6171211837012913] | [0.967748178183342, 0.760901229542239] |
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- | 0.2001 | 19.0 | 9766 | 0.1636 | 0.7758 | 0.8654 | 0.9420 | [0.9360252509546998, 0.615599666996662] | [0.9665703017234261, 0.7642633009340841] |
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- | 0.0952 | 20.0 | 10280 | 0.1589 | 0.7774 | 0.8567 | 0.9439 | [0.938335347249839, 0.6164059298692968] | [0.9719200128462095, 0.741442664724405] |
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- | 0.0547 | 21.0 | 10794 | 0.1624 | 0.7701 | 0.8477 | 0.9422 | [0.9366784658677474, 0.603460893036555] | [0.9726164795437247, 0.7228356013265409] |
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- | 0.2193 | 22.0 | 11308 | 0.1637 | 0.7813 | 0.8705 | 0.9435 | [0.937652191484115, 0.6249915686388726] | [0.966972715051661, 0.7741064349316032] |
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- | 0.107 | 23.0 | 11822 | 0.1564 | 0.7844 | 0.8654 | 0.9455 | [0.9399404830453398, 0.6288692515144549] | [0.971215620847829, 0.7596341372163922] |
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- | 0.0686 | 24.0 | 12336 | 0.1616 | 0.7814 | 0.8664 | 0.9441 | [0.9384157637282583, 0.6243761952101737] | [0.9691135345722435, 0.7636881736447817] |
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- | 0.0755 | 25.0 | 12850 | 0.1600 | 0.7806 | 0.8551 | 0.9454 | [0.9400808454159616, 0.6211992243461064] | [0.9744623524356968, 0.7357995113683403] |
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- | 0.0777 | 26.0 | 13364 | 0.1554 | 0.7827 | 0.8617 | 0.9453 | [0.93983539112418, 0.6255737994703556] | [0.972208915720203, 0.7511646361932037] |
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- | 0.14 | 27.0 | 13878 | 0.1606 | 0.7843 | 0.8689 | 0.9450 | [0.939284077651327, 0.6292689574617442] | [0.9694035492690203, 0.7683542696233527] |
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- | 0.1203 | 28.0 | 14392 | 0.1576 | 0.7868 | 0.8666 | 0.9463 | [0.9408085456144354, 0.632817365056415] | [0.9718973297608788, 0.7612868215670674] |
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- | 0.0344 | 29.0 | 14906 | 0.1543 | 0.7860 | 0.8637 | 0.9463 | [0.9409194486606696, 0.6309827708873241] | [0.9728868425352379, 0.7545694062212325] |
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- | 0.0226 | 30.0 | 15420 | 0.1565 | 0.7861 | 0.8675 | 0.9459 | [0.9403407357445772, 0.6318399840728189] | [0.9710837035497308, 0.7638247131743141] |
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  ### Framework versions
 
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  This model is a fine-tuned version of [nvidia/mit-b3](https://huggingface.co/nvidia/mit-b3) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1438
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+ - Mean Iou: 0.7943
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+ - Mean Accuracy: 0.8621
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+ - Overall Accuracy: 0.9463
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+ - Per Category Iou: [0.9404316292856895, 0.6481512759943856]
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+ - Per Category Accuracy: [0.9766097421311045, 0.7476136089750051]
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Per Category Iou | Per Category Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:-------------:|:----------------:|:----------------------------------------:|:----------------------------------------:|
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+ | 0.2683 | 1.0 | 514 | 0.1919 | 0.7319 | 0.8203 | 0.9254 | [0.9180806580950376, 0.5456807971830461] | [0.9632417779264837, 0.6772761097220785] |
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+ | 0.2221 | 2.0 | 1028 | 0.1848 | 0.7247 | 0.7906 | 0.9285 | [0.9222502676042136, 0.5272319457425635] | [0.9780221080448669, 0.6032531950921799] |
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+ | 0.2051 | 3.0 | 1542 | 0.1798 | 0.7523 | 0.8476 | 0.9301 | [0.9226057238240142, 0.5819673887381934] | [0.9598172268335441, 0.7353887410800054] |
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+ | 0.1996 | 4.0 | 2056 | 0.1662 | 0.7530 | 0.8151 | 0.9366 | [0.9305887422755489, 0.5753549591140691] | [0.9802446445708194, 0.6499256145141094] |
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+ | 0.1878 | 5.0 | 2570 | 0.1613 | 0.7695 | 0.8443 | 0.9386 | [0.9321977696827667, 0.6067612442121683] | [0.972541727740175, 0.7160658070940397] |
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+ | 0.1848 | 6.0 | 3084 | 0.1579 | 0.7659 | 0.8299 | 0.9395 | [0.9335431699668292, 0.5982432303010027] | [0.9789606327074537, 0.6808199676860336] |
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+ | 0.1739 | 7.0 | 3598 | 0.1543 | 0.7799 | 0.8516 | 0.9419 | [0.9357233119518715, 0.6240100443072397] | [0.9744037993799354, 0.7287987165292924] |
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+ | 0.1742 | 8.0 | 4112 | 0.1607 | 0.7737 | 0.8667 | 0.9369 | [0.9296752366973121, 0.6176824708083143] | [0.9620707480253384, 0.7713870499643393] |
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+ | 0.1631 | 9.0 | 4626 | 0.1553 | 0.7803 | 0.8636 | 0.9402 | [0.9335684843016983, 0.626952054351963] | [0.9678138198093251, 0.7593407854928076] |
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+ | 0.1631 | 10.0 | 5140 | 0.1564 | 0.7679 | 0.8406 | 0.9386 | [0.9322118932460649, 0.6035637849191774] | [0.9738013828280326, 0.7073043940670594] |
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+ | 0.1577 | 11.0 | 5654 | 0.1499 | 0.7836 | 0.8520 | 0.9434 | [0.9373956576514434, 0.6297874494960901] | [0.9763014923228973, 0.7277053858903674] |
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+ | 0.1522 | 12.0 | 6168 | 0.1515 | 0.7781 | 0.8454 | 0.9422 | [0.9361248378060324, 0.6200926437502748] | [0.9769566337905029, 0.7138379976069665] |
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+ | 0.1486 | 13.0 | 6682 | 0.1531 | 0.7766 | 0.8485 | 0.9410 | [0.9347900233191081, 0.618411826576312] | [0.9743083731504567, 0.7226475641364578] |
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+ | 0.146 | 14.0 | 7196 | 0.1568 | 0.7835 | 0.8667 | 0.9412 | [0.9345511743761084, 0.6325140238903502] | [0.9679584694275379, 0.7654769806378111] |
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+ | 0.1453 | 15.0 | 7710 | 0.1485 | 0.7837 | 0.8473 | 0.9442 | [0.938357945982732, 0.6290898844632448] | [0.9790292010707323, 0.7156414504087399] |
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+ | 0.1439 | 16.0 | 8224 | 0.1492 | 0.7896 | 0.8623 | 0.9444 | [0.9382510027549076, 0.6409378390750833] | [0.973914066583286, 0.7506284726295933] |
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+ | 0.1385 | 17.0 | 8738 | 0.1494 | 0.7790 | 0.8369 | 0.9439 | [0.938230866841315, 0.6196920559815114] | [0.9823649345853678, 0.6913889357135595] |
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+ | 0.1375 | 18.0 | 9252 | 0.1515 | 0.7847 | 0.8549 | 0.9435 | [0.9373782356302373, 0.6321131725666339] | [0.975314658131637, 0.7344851844673589] |
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+ | 0.1353 | 19.0 | 9766 | 0.1450 | 0.7929 | 0.8610 | 0.9459 | [0.9399812074698386, 0.6457742806194801] | [0.9764190916833184, 0.7456795800307741] |
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+ | 0.1317 | 20.0 | 10280 | 0.1453 | 0.7906 | 0.8584 | 0.9453 | [0.9394006951099269, 0.6417152113828789] | [0.9765905703089925, 0.7402706100619615] |
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+ | 0.1292 | 21.0 | 10794 | 0.1565 | 0.7788 | 0.8416 | 0.9431 | [0.9372341895291594, 0.6204583221235739] | [0.9795794314033889, 0.7035825637871398] |
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+ | 0.1284 | 22.0 | 11308 | 0.1487 | 0.7879 | 0.8532 | 0.9450 | [0.9391595949869292, 0.6366277680932542] | [0.9780565365202, 0.7282789363894756] |
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+ | 0.1279 | 23.0 | 11822 | 0.1461 | 0.7927 | 0.8629 | 0.9456 | [0.9395641382795358, 0.6458609695526066] | [0.9752807298744423, 0.7506032283294566] |
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+ | 0.1262 | 24.0 | 12336 | 0.1436 | 0.7934 | 0.8633 | 0.9458 | [0.9398055111519206, 0.6469847970011983] | [0.9754426177792707, 0.7512221554580607] |
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+ | 0.1223 | 25.0 | 12850 | 0.1465 | 0.7945 | 0.8622 | 0.9464 | [0.9404797675363489, 0.6484203969264617] | [0.9766238155760367, 0.7478641586538628] |
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+ | 0.1234 | 26.0 | 13364 | 0.1435 | 0.7925 | 0.8570 | 0.9463 | [0.9405453729701521, 0.6444525239879496] | [0.9784625404961454, 0.735513574144182] |
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+ | 0.1223 | 27.0 | 13878 | 0.1464 | 0.7937 | 0.8618 | 0.9461 | [0.9402290147962161, 0.6472276210560935] | [0.976462283595653, 0.7471743581526247] |
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+ | 0.1196 | 28.0 | 14392 | 0.1450 | 0.7929 | 0.8589 | 0.9462 | [0.9403789254222912, 0.645380249186489] | [0.9776359685007636, 0.7400721898628863] |
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+ | 0.1199 | 29.0 | 14906 | 0.1451 | 0.7919 | 0.8563 | 0.9462 | [0.9403753807784087, 0.6433302809940281] | [0.9784796056303284, 0.7341607320998506] |
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+ | 0.1208 | 30.0 | 15420 | 0.1438 | 0.7943 | 0.8621 | 0.9463 | [0.9404316292856895, 0.6481512759943856] | [0.9766097421311045, 0.7476136089750051] |
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  ### Framework versions