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# segformer-b5-finetuned-segments-instryde-foot-test

This model is a fine-tuned version of [nvidia/mit-b5](https://huggingface.co/nvidia/mit-b5) on the inStryde/inStrydeSegmentationFoot dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0496
- Mean Iou: 0.4672
- Mean Accuracy: 0.9344
- Overall Accuracy: 0.9344
- Per Category Iou: [0.0, 0.9343870058298716]
- Per Category Accuracy: [nan, 0.9343870058298716]

## 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: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Per Category Iou          | Per Category Accuracy     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:-------------------------:|:-------------------------:|
| 0.1392        | 0.23  | 20   | 0.2371          | 0.4064   | 0.8128        | 0.8128           | [0.0, 0.8127920708469037] | [nan, 0.8127920708469037] |
| 0.2273        | 0.45  | 40   | 0.0993          | 0.4449   | 0.8898        | 0.8898           | [0.0, 0.889800913515142]  | [nan, 0.889800913515142]  |
| 0.0287        | 0.68  | 60   | 0.0607          | 0.4190   | 0.8379        | 0.8379           | [0.0, 0.8379005425233161] | [nan, 0.8379005425233161] |
| 0.03          | 0.91  | 80   | 0.0572          | 0.4072   | 0.8144        | 0.8144           | [0.0, 0.8144304164916533] | [nan, 0.8144304164916533] |
| 0.0239        | 1.14  | 100  | 0.0577          | 0.3973   | 0.7946        | 0.7946           | [0.0, 0.7946284254068925] | [nan, 0.7946284254068925] |
| 0.0196        | 1.36  | 120  | 0.0425          | 0.4227   | 0.8455        | 0.8455           | [0.0, 0.8454754171184029] | [nan, 0.8454754171184029] |
| 0.0295        | 1.59  | 140  | 0.0368          | 0.4479   | 0.8958        | 0.8958           | [0.0, 0.895802316554768]  | [nan, 0.895802316554768]  |
| 0.0297        | 1.82  | 160  | 0.0441          | 0.4561   | 0.9121        | 0.9121           | [0.0, 0.9121241975954804] | [nan, 0.9121241975954804] |
| 0.0276        | 2.05  | 180  | 0.0332          | 0.4629   | 0.9258        | 0.9258           | [0.0, 0.925774145806165]  | [nan, 0.925774145806165]  |
| 0.0148        | 2.27  | 200  | 0.0395          | 0.4310   | 0.8621        | 0.8621           | [0.0, 0.8620666905637888] | [nan, 0.8620666905637888] |
| 0.012         | 2.5   | 220  | 0.0372          | 0.4381   | 0.8761        | 0.8761           | [0.0, 0.8761025846276997] | [nan, 0.8761025846276997] |
| 0.0117        | 2.73  | 240  | 0.0339          | 0.4471   | 0.8941        | 0.8941           | [0.0, 0.8941320836457919] | [nan, 0.8941320836457919] |
| 0.0198        | 2.95  | 260  | 0.0297          | 0.4485   | 0.8969        | 0.8969           | [0.0, 0.8969491585060927] | [nan, 0.8969491585060927] |
| 0.0247        | 3.18  | 280  | 0.0303          | 0.4565   | 0.9130        | 0.9130           | [0.0, 0.9130423308930413] | [nan, 0.9130423308930413] |
| 0.0115        | 3.41  | 300  | 0.0307          | 0.4533   | 0.9066        | 0.9066           | [0.0, 0.9065626188900153] | [nan, 0.9065626188900153] |
| 0.0164        | 3.64  | 320  | 0.0330          | 0.4549   | 0.9097        | 0.9097           | [0.0, 0.9097436483868343] | [nan, 0.9097436483868343] |
| 0.0114        | 3.86  | 340  | 0.0362          | 0.4425   | 0.8850        | 0.8850           | [0.0, 0.8849727418868903] | [nan, 0.8849727418868903] |
| 0.012         | 4.09  | 360  | 0.0321          | 0.4582   | 0.9164        | 0.9164           | [0.0, 0.9164498699219532] | [nan, 0.9164498699219532] |
| 0.0153        | 4.32  | 380  | 0.0321          | 0.4572   | 0.9144        | 0.9144           | [0.0, 0.9144310762281544] | [nan, 0.9144310762281544] |
| 0.0115        | 4.55  | 400  | 0.0307          | 0.4573   | 0.9145        | 0.9145           | [0.0, 0.9145300367033407] | [nan, 0.9145300367033407] |
| 0.0139        | 4.77  | 420  | 0.0330          | 0.4678   | 0.9357        | 0.9357           | [0.0, 0.935664695520609]  | [nan, 0.935664695520609]  |
| 0.014         | 5.0   | 440  | 0.0317          | 0.4635   | 0.9271        | 0.9271           | [0.0, 0.9270562337402442] | [nan, 0.9270562337402442] |
| 0.0197        | 5.23  | 460  | 0.0320          | 0.4678   | 0.9356        | 0.9356           | [0.0, 0.9355745315321061] | [nan, 0.9355745315321061] |
| 0.0086        | 5.45  | 480  | 0.0337          | 0.4607   | 0.9214        | 0.9214           | [0.0, 0.9213528116870122] | [nan, 0.9213528116870122] |
| 0.3103        | 5.68  | 500  | 0.0338          | 0.4548   | 0.9096        | 0.9096           | [0.0, 0.9095853116265363] | [nan, 0.9095853116265363] |
| 0.0088        | 5.91  | 520  | 0.0305          | 0.4635   | 0.9270        | 0.9270           | [0.0, 0.9270243464760175] | [nan, 0.9270243464760175] |
| 0.0119        | 6.14  | 540  | 0.0299          | 0.4680   | 0.9359        | 0.9359           | [0.0, 0.9359494817769782] | [nan, 0.9359494817769782] |
| 0.0114        | 6.36  | 560  | 0.0314          | 0.4574   | 0.9148        | 0.9148           | [0.0, 0.914796130425508]  | [nan, 0.914796130425508]  |
| 0.0122        | 6.59  | 580  | 0.0289          | 0.4613   | 0.9227        | 0.9227           | [0.0, 0.9226920767845322] | [nan, 0.9226920767845322] |
| 0.0164        | 6.82  | 600  | 0.0312          | 0.4620   | 0.9240        | 0.9240           | [0.0, 0.9239807620836238] | [nan, 0.9239807620836238] |
| 0.0062        | 7.05  | 620  | 0.0335          | 0.4605   | 0.9210        | 0.9210           | [0.0, 0.9209954544155065] | [nan, 0.9209954544155065] |
| 0.0089        | 7.27  | 640  | 0.0309          | 0.4659   | 0.9317        | 0.9317           | [0.0, 0.9317029778306545] | [nan, 0.9317029778306545] |
| 0.0251        | 7.5   | 660  | 0.0291          | 0.4734   | 0.9468        | 0.9468           | [0.0, 0.9467878529315391] | [nan, 0.9467878529315391] |
| 0.0065        | 7.73  | 680  | 0.0326          | 0.4598   | 0.9195        | 0.9195           | [0.0, 0.9195297398219151] | [nan, 0.9195297398219151] |
| 0.0056        | 7.95  | 700  | 0.0310          | 0.4606   | 0.9213        | 0.9213           | [0.0, 0.9212714441851925] | [nan, 0.9212714441851925] |
| 0.0099        | 8.18  | 720  | 0.0345          | 0.4503   | 0.9006        | 0.9006           | [0.0, 0.9006183930138303] | [nan, 0.9006183930138303] |
| 0.0103        | 8.41  | 740  | 0.0335          | 0.4539   | 0.9078        | 0.9078           | [0.0, 0.9077512441530853] | [nan, 0.9077512441530853] |
| 0.0065        | 8.64  | 760  | 0.0334          | 0.4544   | 0.9088        | 0.9088           | [0.0, 0.9087936278250467] | [nan, 0.9087936278250467] |
| 0.0047        | 8.86  | 780  | 0.0341          | 0.4557   | 0.9114        | 0.9114           | [0.0, 0.9114215782216583] | [nan, 0.9114215782216583] |
| 0.0105        | 9.09  | 800  | 0.0315          | 0.4597   | 0.9195        | 0.9195           | [0.0, 0.9194703635368034] | [nan, 0.9194703635368034] |
| 0.0087        | 9.32  | 820  | 0.0329          | 0.4583   | 0.9166        | 0.9166           | [0.0, 0.9165708216138474] | [nan, 0.9165708216138474] |
| 0.0122        | 9.55  | 840  | 0.0357          | 0.4537   | 0.9073        | 0.9073           | [0.0, 0.9073004242105703] | [nan, 0.9073004242105703] |
| 0.0057        | 9.77  | 860  | 0.0319          | 0.4621   | 0.9241        | 0.9241           | [0.0, 0.9241050124580242] | [nan, 0.9241050124580242] |
| 0.0068        | 10.0  | 880  | 0.0342          | 0.4539   | 0.9078        | 0.9078           | [0.0, 0.907799624829843]  | [nan, 0.907799624829843]  |
| 0.0095        | 10.23 | 900  | 0.0340          | 0.4578   | 0.9156        | 0.9156           | [0.0, 0.9155933120311748] | [nan, 0.9155933120311748] |
| 0.0043        | 10.45 | 920  | 0.0319          | 0.4636   | 0.9272        | 0.9272           | [0.0, 0.9271771854321385] | [nan, 0.9271771854321385] |
| 0.0049        | 10.68 | 940  | 0.0308          | 0.4659   | 0.9319        | 0.9319           | [0.0, 0.9318525181042692] | [nan, 0.9318525181042692] |
| 0.005         | 10.91 | 960  | 0.0319          | 0.4640   | 0.9281        | 0.9281           | [0.0, 0.9280612323438019] | [nan, 0.9280612323438019] |
| 0.0043        | 11.14 | 980  | 0.0313          | 0.4653   | 0.9306        | 0.9306           | [0.0, 0.930638602941985]  | [nan, 0.930638602941985]  |
| 0.0084        | 11.36 | 1000 | 0.0321          | 0.4632   | 0.9264        | 0.9264           | [0.0, 0.9264294840640648] | [nan, 0.9264294840640648] |
| 0.0044        | 11.59 | 1020 | 0.0320          | 0.4643   | 0.9285        | 0.9285           | [0.0, 0.9285241474555063] | [nan, 0.9285241474555063] |
| 0.0044        | 11.82 | 1040 | 0.0321          | 0.4661   | 0.9321        | 0.9321           | [0.0, 0.9321098153397533] | [nan, 0.9321098153397533] |
| 0.0057        | 12.05 | 1060 | 0.0338          | 0.4626   | 0.9253        | 0.9253           | [0.0, 0.9252518544093489] | [nan, 0.9252518544093489] |
| 0.0064        | 12.27 | 1080 | 0.0348          | 0.4616   | 0.9231        | 0.9231           | [0.0, 0.9231450958487181] | [nan, 0.9231450958487181] |
| 0.0075        | 12.5  | 1100 | 0.0331          | 0.4618   | 0.9237        | 0.9237           | [0.0, 0.9236706859280404] | [nan, 0.9236706859280404] |
| 0.0103        | 12.73 | 1120 | 0.0317          | 0.4704   | 0.9408        | 0.9408           | [0.0, 0.9408425274945187] | [nan, 0.9408425274945187] |
| 0.0053        | 12.95 | 1140 | 0.0320          | 0.4704   | 0.9407        | 0.9407           | [0.0, 0.9407292727284723] | [nan, 0.9407292727284723] |
| 0.0073        | 13.18 | 1160 | 0.0331          | 0.4652   | 0.9305        | 0.9305           | [0.0, 0.9304681710124976] | [nan, 0.9304681710124976] |
| 0.0052        | 13.41 | 1180 | 0.0342          | 0.4664   | 0.9328        | 0.9328           | [0.0, 0.9328047377877275] | [nan, 0.9328047377877275] |
| 0.0089        | 13.64 | 1200 | 0.0322          | 0.4676   | 0.9353        | 0.9353           | [0.0, 0.9352996413232555] | [nan, 0.9352996413232555] |
| 0.0054        | 13.86 | 1220 | 0.0332          | 0.4655   | 0.9311        | 0.9311           | [0.0, 0.9310509382552609] | [nan, 0.9310509382552609] |
| 0.0057        | 14.09 | 1240 | 0.0333          | 0.4661   | 0.9321        | 0.9321           | [0.0, 0.9321439017256508] | [nan, 0.9321439017256508] |
| 0.0047        | 14.32 | 1260 | 0.0346          | 0.4639   | 0.9278        | 0.9278           | [0.0, 0.9277522557490538] | [nan, 0.9277522557490538] |
| 0.0092        | 14.55 | 1280 | 0.0380          | 0.4583   | 0.9166        | 0.9166           | [0.0, 0.9166290983381238] | [nan, 0.9166290983381238] |
| 0.0066        | 14.77 | 1300 | 0.0338          | 0.4638   | 0.9277        | 0.9277           | [0.0, 0.927687381659765]  | [nan, 0.927687381659765]  |
| 0.0076        | 15.0  | 1320 | 0.0347          | 0.4640   | 0.9280        | 0.9280           | [0.0, 0.9279897608895007] | [nan, 0.9279897608895007] |
| 0.0054        | 15.23 | 1340 | 0.0345          | 0.4647   | 0.9295        | 0.9295           | [0.0, 0.9294664710914461] | [nan, 0.9294664710914461] |
| 0.0036        | 15.45 | 1360 | 0.0349          | 0.4666   | 0.9332        | 0.9332           | [0.0, 0.9331950818842955] | [nan, 0.9331950818842955] |
| 0.004         | 15.68 | 1380 | 0.0352          | 0.4617   | 0.9234        | 0.9234           | [0.0, 0.9234408777134413] | [nan, 0.9234408777134413] |
| 0.0042        | 15.91 | 1400 | 0.0357          | 0.4622   | 0.9244        | 0.9244           | [0.0, 0.9244282833436326] | [nan, 0.9244282833436326] |
| 0.0048        | 16.14 | 1420 | 0.0370          | 0.4586   | 0.9172        | 0.9172           | [0.0, 0.9171546884174461] | [nan, 0.9171546884174461] |
| 0.0043        | 16.36 | 1440 | 0.0345          | 0.4647   | 0.9294        | 0.9294           | [0.0, 0.9294411811922318] | [nan, 0.9294411811922318] |
| 0.0027        | 16.59 | 1460 | 0.0354          | 0.4667   | 0.9334        | 0.9334           | [0.0, 0.9333754098613014] | [nan, 0.9333754098613014] |
| 0.0057        | 16.82 | 1480 | 0.0364          | 0.4689   | 0.9379        | 0.9379           | [0.0, 0.9378913062122988] | [nan, 0.9378913062122988] |
| 0.0035        | 17.05 | 1500 | 0.0363          | 0.4662   | 0.9325        | 0.9325           | [0.0, 0.9324682721720945] | [nan, 0.9324682721720945] |
| 0.0029        | 17.27 | 1520 | 0.0348          | 0.4674   | 0.9347        | 0.9347           | [0.0, 0.9347212723238338] | [nan, 0.9347212723238338] |
| 0.0043        | 17.5  | 1540 | 0.0362          | 0.4648   | 0.9295        | 0.9295           | [0.0, 0.9295390421065827] | [nan, 0.9295390421065827] |
| 0.0041        | 17.73 | 1560 | 0.0347          | 0.4664   | 0.9328        | 0.9328           | [0.0, 0.9328487202211436] | [nan, 0.9328487202211436] |
| 0.003         | 17.95 | 1580 | 0.0364          | 0.4649   | 0.9297        | 0.9297           | [0.0, 0.9297237683269303] | [nan, 0.9297237683269303] |
| 0.0121        | 18.18 | 1600 | 0.0364          | 0.4650   | 0.9300        | 0.9300           | [0.0, 0.9299920611707684] | [nan, 0.9299920611707684] |
| 0.004         | 18.41 | 1620 | 0.0369          | 0.4667   | 0.9334        | 0.9334           | [0.0, 0.9334259896597299] | [nan, 0.9334259896597299] |
| 0.0035        | 18.64 | 1640 | 0.0368          | 0.4636   | 0.9272        | 0.9272           | [0.0, 0.9272475573256042] | [nan, 0.9272475573256042] |
| 0.0031        | 18.86 | 1660 | 0.0358          | 0.4665   | 0.9330        | 0.9330           | [0.0, 0.9329784683997212] | [nan, 0.9329784683997212] |
| 0.0032        | 19.09 | 1680 | 0.0357          | 0.4661   | 0.9322        | 0.9322           | [0.0, 0.9321515986514985] | [nan, 0.9321515986514985] |
| 0.0047        | 19.32 | 1700 | 0.0371          | 0.4621   | 0.9243        | 0.9243           | [0.0, 0.9242886391175364] | [nan, 0.9242886391175364] |
| 0.0056        | 19.55 | 1720 | 0.0359          | 0.4663   | 0.9326        | 0.9326           | [0.0, 0.9326277084932278] | [nan, 0.9326277084932278] |
| 0.0033        | 19.77 | 1740 | 0.0348          | 0.4694   | 0.9389        | 0.9389           | [0.0, 0.9388523223824404] | [nan, 0.9388523223824404] |
| 0.0049        | 20.0  | 1760 | 0.0394          | 0.4612   | 0.9224        | 0.9224           | [0.0, 0.9223918966764674] | [nan, 0.9223918966764674] |
| 0.0058        | 20.23 | 1780 | 0.0368          | 0.4660   | 0.9321        | 0.9321           | [0.0, 0.9320724302713497] | [nan, 0.9320724302713497] |
| 0.003         | 20.45 | 1800 | 0.0370          | 0.4686   | 0.9372        | 0.9372           | [0.0, 0.9371787907909581] | [nan, 0.9371787907909581] |
| 0.0058        | 20.68 | 1820 | 0.0363          | 0.4665   | 0.9330        | 0.9330           | [0.0, 0.9329949618122522] | [nan, 0.9329949618122522] |
| 0.0083        | 20.91 | 1840 | 0.0351          | 0.4661   | 0.9322        | 0.9322           | [0.0, 0.9321834859157253] | [nan, 0.9321834859157253] |
| 0.0036        | 21.14 | 1860 | 0.0353          | 0.4667   | 0.9333        | 0.9333           | [0.0, 0.9333149340153543] | [nan, 0.9333149340153543] |
| 0.0032        | 21.36 | 1880 | 0.0373          | 0.4657   | 0.9314        | 0.9314           | [0.0, 0.93137640826254]   | [nan, 0.93137640826254]   |
| 0.005         | 21.59 | 1900 | 0.0391          | 0.4647   | 0.9294        | 0.9294           | [0.0, 0.929370809298766]  | [nan, 0.929370809298766]  |
| 0.0049        | 21.82 | 1920 | 0.0364          | 0.4701   | 0.9403        | 0.9403           | [0.0, 0.9402795523467927] | [nan, 0.9402795523467927] |
| 0.0044        | 22.05 | 1940 | 0.0368          | 0.4672   | 0.9343        | 0.9343           | [0.0, 0.9343111361322288] | [nan, 0.9343111361322288] |
| 0.0038        | 22.27 | 1960 | 0.0367          | 0.4663   | 0.9325        | 0.9325           | [0.0, 0.932513354166346]  | [nan, 0.932513354166346]  |
| 0.0032        | 22.5  | 1980 | 0.0378          | 0.4679   | 0.9358        | 0.9358           | [0.0, 0.9358483221801213] | [nan, 0.9358483221801213] |
| 0.0039        | 22.73 | 2000 | 0.0381          | 0.4653   | 0.9306        | 0.9306           | [0.0, 0.9305517376359882] | [nan, 0.9305517376359882] |
| 0.0032        | 22.95 | 2020 | 0.0385          | 0.4651   | 0.9301        | 0.9301           | [0.0, 0.9301262075926875] | [nan, 0.9301262075926875] |
| 0.0058        | 23.18 | 2040 | 0.0381          | 0.4654   | 0.9309        | 0.9309           | [0.0, 0.9308673115957486] | [nan, 0.9308673115957486] |
| 0.0049        | 23.41 | 2060 | 0.0377          | 0.4658   | 0.9316        | 0.9316           | [0.0, 0.9316194112071639] | [nan, 0.9316194112071639] |
| 0.0032        | 23.64 | 2080 | 0.0373          | 0.4692   | 0.9384        | 0.9384           | [0.0, 0.9384256927783043] | [nan, 0.9384256927783043] |
| 0.0056        | 23.86 | 2100 | 0.0390          | 0.4646   | 0.9292        | 0.9292           | [0.0, 0.9292465589243656] | [nan, 0.9292465589243656] |
| 0.003         | 24.09 | 2120 | 0.0383          | 0.4658   | 0.9317        | 0.9317           | [0.0, 0.9316765883706047] | [nan, 0.9316765883706047] |
| 0.0037        | 24.32 | 2140 | 0.0376          | 0.4668   | 0.9337        | 0.9337           | [0.0, 0.9336755899693663] | [nan, 0.9336755899693663] |
| 0.0025        | 24.55 | 2160 | 0.0390          | 0.4663   | 0.9326        | 0.9326           | [0.0, 0.9326145137632029] | [nan, 0.9326145137632029] |
| 0.0039        | 24.77 | 2180 | 0.0381          | 0.4688   | 0.9376        | 0.9376           | [0.0, 0.937613117320942]  | [nan, 0.937613117320942]  |
| 0.0031        | 25.0  | 2200 | 0.0395          | 0.4645   | 0.9291        | 0.9291           | [0.0, 0.9290629322648534] | [nan, 0.9290629322648534] |
| 0.0026        | 25.23 | 2220 | 0.0389          | 0.4668   | 0.9336        | 0.9336           | [0.0, 0.9335678330074968] | [nan, 0.9335678330074968] |
| 0.0028        | 25.45 | 2240 | 0.0375          | 0.4680   | 0.9359        | 0.9359           | [0.0, 0.9359329883644473] | [nan, 0.9359329883644473] |
| 0.0039        | 25.68 | 2260 | 0.0404          | 0.4656   | 0.9312        | 0.9312           | [0.0, 0.9312004785288756] | [nan, 0.9312004785288756] |
| 0.004         | 25.91 | 2280 | 0.0371          | 0.4716   | 0.9431        | 0.9431           | [0.0, 0.9431021250112706] | [nan, 0.9431021250112706] |
| 0.0048        | 26.14 | 2300 | 0.0373          | 0.4700   | 0.9400        | 0.9400           | [0.0, 0.9399639783870323] | [nan, 0.9399639783870323] |
| 0.0033        | 26.36 | 2320 | 0.0385          | 0.4688   | 0.9377        | 0.9377           | [0.0, 0.9376560001935227] | [nan, 0.9376560001935227] |
| 0.0042        | 26.59 | 2340 | 0.0374          | 0.4686   | 0.9372        | 0.9372           | [0.0, 0.9371743925476165] | [nan, 0.9371743925476165] |
| 0.0048        | 26.82 | 2360 | 0.0393          | 0.4660   | 0.9320        | 0.9320           | [0.0, 0.9319789676003404] | [nan, 0.9319789676003404] |
| 0.0047        | 27.05 | 2380 | 0.0393          | 0.4650   | 0.9300        | 0.9300           | [0.0, 0.9300162515091472] | [nan, 0.9300162515091472] |
| 0.0048        | 27.27 | 2400 | 0.0389          | 0.4670   | 0.9340        | 0.9340           | [0.0, 0.9339867656857851] | [nan, 0.9339867656857851] |
| 0.004         | 27.5  | 2420 | 0.0388          | 0.4673   | 0.9346        | 0.9346           | [0.0, 0.9345750307327253] | [nan, 0.9345750307327253] |
| 0.0051        | 27.73 | 2440 | 0.0386          | 0.4655   | 0.9309        | 0.9309           | [0.0, 0.9309002984208107] | [nan, 0.9309002984208107] |
| 0.0045        | 27.95 | 2460 | 0.0395          | 0.4664   | 0.9328        | 0.9328           | [0.0, 0.932816832956917]  | [nan, 0.932816832956917]  |
| 0.0042        | 28.18 | 2480 | 0.0393          | 0.4642   | 0.9285        | 0.9285           | [0.0, 0.9284856628262672] | [nan, 0.9284856628262672] |
| 0.0035        | 28.41 | 2500 | 0.0396          | 0.4667   | 0.9333        | 0.9333           | [0.0, 0.9333083366503419] | [nan, 0.9333083366503419] |
| 0.0036        | 28.64 | 2520 | 0.0395          | 0.4664   | 0.9327        | 0.9327           | [0.0, 0.9327288680900848] | [nan, 0.9327288680900848] |
| 0.0035        | 28.86 | 2540 | 0.0377          | 0.4675   | 0.9349        | 0.9349           | [0.0, 0.9349378858084081] | [nan, 0.9349378858084081] |
| 0.0029        | 29.09 | 2560 | 0.0402          | 0.4658   | 0.9315        | 0.9315           | [0.0, 0.9315479397528627] | [nan, 0.9315479397528627] |
| 0.0042        | 29.32 | 2580 | 0.0398          | 0.4691   | 0.9383        | 0.9383           | [0.0, 0.9382893472347145] | [nan, 0.9382893472347145] |
| 0.0029        | 29.55 | 2600 | 0.0405          | 0.4668   | 0.9336        | 0.9336           | [0.0, 0.9336129150017483] | [nan, 0.9336129150017483] |
| 0.0023        | 29.77 | 2620 | 0.0402          | 0.4666   | 0.9332        | 0.9332           | [0.0, 0.9332071770534849] | [nan, 0.9332071770534849] |
| 0.0036        | 30.0  | 2640 | 0.0417          | 0.4648   | 0.9296        | 0.9296           | [0.0, 0.9296435003859459] | [nan, 0.9296435003859459] |
| 0.0045        | 30.23 | 2660 | 0.0395          | 0.4674   | 0.9348        | 0.9348           | [0.0, 0.9347960424606412] | [nan, 0.9347960424606412] |
| 0.0025        | 30.45 | 2680 | 0.0400          | 0.4695   | 0.9390        | 0.9390           | [0.0, 0.9390392477244589] | [nan, 0.9390392477244589] |
| 0.0032        | 30.68 | 2700 | 0.0404          | 0.4673   | 0.9347        | 0.9347           | [0.0, 0.9346926837421135] | [nan, 0.9346926837421135] |
| 0.0047        | 30.91 | 2720 | 0.0416          | 0.4651   | 0.9303        | 0.9303           | [0.0, 0.9302790465488084] | [nan, 0.9302790465488084] |
| 0.0024        | 31.14 | 2740 | 0.0403          | 0.4677   | 0.9355        | 0.9355           | [0.0, 0.9354997613952987] | [nan, 0.9354997613952987] |
| 0.0037        | 31.36 | 2760 | 0.0406          | 0.4677   | 0.9354        | 0.9354           | [0.0, 0.9354469824751994] | [nan, 0.9354469824751994] |
| 0.0031        | 31.59 | 2780 | 0.0414          | 0.4671   | 0.9343        | 0.9343           | [0.0, 0.9342858462330146] | [nan, 0.9342858462330146] |
| 0.0036        | 31.82 | 2800 | 0.0404          | 0.4670   | 0.9339        | 0.9339           | [0.0, 0.9339152942314839] | [nan, 0.9339152942314839] |
| 0.003         | 32.05 | 2820 | 0.0411          | 0.4678   | 0.9355        | 0.9355           | [0.0, 0.9355151552469944] | [nan, 0.9355151552469944] |
| 0.0038        | 32.27 | 2840 | 0.0423          | 0.4672   | 0.9344        | 0.9344           | [0.0, 0.9344221917766045] | [nan, 0.9344221917766045] |
| 0.0023        | 32.5  | 2860 | 0.0433          | 0.4657   | 0.9313        | 0.9313           | [0.0, 0.9313401227549717] | [nan, 0.9313401227549717] |
| 0.003         | 32.73 | 2880 | 0.0421          | 0.4682   | 0.9363        | 0.9363           | [0.0, 0.9363365271910399] | [nan, 0.9363365271910399] |
| 0.0031        | 32.95 | 2900 | 0.0428          | 0.4679   | 0.9357        | 0.9357           | [0.0, 0.9357086779540251] | [nan, 0.9357086779540251] |
| 0.0026        | 33.18 | 2920 | 0.0448          | 0.4656   | 0.9311        | 0.9311           | [0.0, 0.9311081154187018] | [nan, 0.9311081154187018] |
| 0.0031        | 33.41 | 2940 | 0.0456          | 0.4639   | 0.9279        | 0.9279           | [0.0, 0.9278929995359854] | [nan, 0.9278929995359854] |
| 0.0022        | 33.64 | 2960 | 0.0424          | 0.4674   | 0.9349        | 0.9349           | [0.0, 0.9348851068883088] | [nan, 0.9348851068883088] |
| 0.0025        | 33.86 | 2980 | 0.0434          | 0.4654   | 0.9308        | 0.9308           | [0.0, 0.9307782471680811] | [nan, 0.9307782471680811] |
| 0.0025        | 34.09 | 3000 | 0.0418          | 0.4675   | 0.9351        | 0.9351           | [0.0, 0.9350610366219732] | [nan, 0.9350610366219732] |
| 0.003         | 34.32 | 3020 | 0.0424          | 0.4674   | 0.9349        | 0.9349           | [0.0, 0.9348653147932716] | [nan, 0.9348653147932716] |
| 0.0021        | 34.55 | 3040 | 0.0412          | 0.4687   | 0.9374        | 0.9374           | [0.0, 0.9374437849522901] | [nan, 0.9374437849522901] |
| 0.0043        | 34.77 | 3060 | 0.0412          | 0.4676   | 0.9352        | 0.9352           | [0.0, 0.9352446632814854] | [nan, 0.9352446632814854] |
| 0.005         | 35.0  | 3080 | 0.0428          | 0.4675   | 0.9350        | 0.9350           | [0.0, 0.9349807686809888] | [nan, 0.9349807686809888] |
| 0.003         | 35.23 | 3100 | 0.0430          | 0.4672   | 0.9344        | 0.9344           | [0.0, 0.934393603194884]  | [nan, 0.934393603194884]  |
| 0.0027        | 35.45 | 3120 | 0.0452          | 0.4652   | 0.9303        | 0.9303           | [0.0, 0.9303428210772617] | [nan, 0.9303428210772617] |
| 0.0022        | 35.68 | 3140 | 0.0441          | 0.4653   | 0.9306        | 0.9306           | [0.0, 0.9305847244610502] | [nan, 0.9305847244610502] |
| 0.0029        | 35.91 | 3160 | 0.0425          | 0.4671   | 0.9342        | 0.9342           | [0.0, 0.9341692927844619] | [nan, 0.9341692927844619] |
| 0.0022        | 36.14 | 3180 | 0.0438          | 0.4679   | 0.9358        | 0.9358           | [0.0, 0.9358153353550592] | [nan, 0.9358153353550592] |
| 0.0028        | 36.36 | 3200 | 0.0443          | 0.4680   | 0.9359        | 0.9359           | [0.0, 0.935929689681941]  | [nan, 0.935929689681941]  |
| 0.0025        | 36.59 | 3220 | 0.0433          | 0.4682   | 0.9365        | 0.9365           | [0.0, 0.9364948639513379] | [nan, 0.9364948639513379] |
| 0.003         | 36.82 | 3240 | 0.0439          | 0.4680   | 0.9359        | 0.9359           | [0.0, 0.9359340879252827] | [nan, 0.9359340879252827] |
| 0.0027        | 37.05 | 3260 | 0.0462          | 0.4665   | 0.9331        | 0.9331           | [0.0, 0.9330587363407056] | [nan, 0.9330587363407056] |
| 0.004         | 37.27 | 3280 | 0.0447          | 0.4675   | 0.9350        | 0.9350           | [0.0, 0.9349917642893428] | [nan, 0.9349917642893428] |
| 0.0032        | 37.5  | 3300 | 0.0442          | 0.4683   | 0.9367        | 0.9367           | [0.0, 0.9366916853408749] | [nan, 0.9366916853408749] |
| 0.0019        | 37.73 | 3320 | 0.0454          | 0.4674   | 0.9347        | 0.9347           | [0.0, 0.9347102767154798] | [nan, 0.9347102767154798] |
| 0.0028        | 37.95 | 3340 | 0.0451          | 0.4674   | 0.9349        | 0.9349           | [0.0, 0.9348543191849176] | [nan, 0.9348543191849176] |
| 0.0023        | 38.18 | 3360 | 0.0457          | 0.4669   | 0.9337        | 0.9337           | [0.0, 0.9337228710852885] | [nan, 0.9337228710852885] |
| 0.0028        | 38.41 | 3380 | 0.0454          | 0.4675   | 0.9351        | 0.9351           | [0.0, 0.9350764304736688] | [nan, 0.9350764304736688] |
| 0.0024        | 38.64 | 3400 | 0.0467          | 0.4677   | 0.9354        | 0.9354           | [0.0, 0.9353568184866964] | [nan, 0.9353568184866964] |
| 0.0023        | 38.86 | 3420 | 0.0463          | 0.4669   | 0.9337        | 0.9337           | [0.0, 0.9337096763552637] | [nan, 0.9337096763552637] |
| 0.0029        | 39.09 | 3440 | 0.0456          | 0.4664   | 0.9328        | 0.9328           | [0.0, 0.9328289281261064] | [nan, 0.9328289281261064] |
| 0.0026        | 39.32 | 3460 | 0.0453          | 0.4686   | 0.9372        | 0.9372           | [0.0, 0.9371578991350854] | [nan, 0.9371578991350854] |
| 0.0037        | 39.55 | 3480 | 0.0458          | 0.4678   | 0.9356        | 0.9356           | [0.0, 0.9356097174788389] | [nan, 0.9356097174788389] |
| 0.0025        | 39.77 | 3500 | 0.0468          | 0.4671   | 0.9342        | 0.9342           | [0.0, 0.9342275695087382] | [nan, 0.9342275695087382] |
| 0.0048        | 40.0  | 3520 | 0.0459          | 0.4668   | 0.9335        | 0.9335           | [0.0, 0.933527149256587]  | [nan, 0.933527149256587]  |
| 0.0027        | 40.23 | 3540 | 0.0468          | 0.4658   | 0.9315        | 0.9315           | [0.0, 0.9315490393136981] | [nan, 0.9315490393136981] |
| 0.0019        | 40.45 | 3560 | 0.0465          | 0.4662   | 0.9324        | 0.9324           | [0.0, 0.9323792077444268] | [nan, 0.9323792077444268] |
| 0.0033        | 40.68 | 3580 | 0.0459          | 0.4674   | 0.9348        | 0.9348           | [0.0, 0.9348015402648182] | [nan, 0.9348015402648182] |
| 0.004         | 40.91 | 3600 | 0.0467          | 0.4667   | 0.9333        | 0.9333           | [0.0, 0.9333358256712269] | [nan, 0.9333358256712269] |
| 0.0022        | 41.14 | 3620 | 0.0469          | 0.4665   | 0.9331        | 0.9331           | [0.0, 0.9330521389756931] | [nan, 0.9330521389756931] |
| 0.0036        | 41.36 | 3640 | 0.0458          | 0.4676   | 0.9352        | 0.9352           | [0.0, 0.9352479619639916] | [nan, 0.9352479619639916] |
| 0.0024        | 41.59 | 3660 | 0.0468          | 0.4671   | 0.9342        | 0.9342           | [0.0, 0.9341769897103097] | [nan, 0.9341769897103097] |
| 0.0021        | 41.82 | 3680 | 0.0466          | 0.4658   | 0.9317        | 0.9317           | [0.0, 0.9316776879314402] | [nan, 0.9316776879314402] |
| 0.0032        | 42.05 | 3700 | 0.0472          | 0.4666   | 0.9332        | 0.9332           | [0.0, 0.9331807875934351] | [nan, 0.9331807875934351] |
| 0.0023        | 42.27 | 3720 | 0.0470          | 0.4673   | 0.9347        | 0.9347           | [0.0, 0.9346827876945948] | [nan, 0.9346827876945948] |
| 0.003         | 42.5  | 3740 | 0.0474          | 0.4661   | 0.9321        | 0.9321           | [0.0, 0.9321482999689924] | [nan, 0.9321482999689924] |
| 0.0025        | 42.73 | 3760 | 0.0483          | 0.4656   | 0.9313        | 0.9313           | [0.0, 0.9312851447132016] | [nan, 0.9312851447132016] |
| 0.0019        | 42.95 | 3780 | 0.0471          | 0.4669   | 0.9338        | 0.9338           | [0.0, 0.9338130350737915] | [nan, 0.9338130350737915] |
| 0.0032        | 43.18 | 3800 | 0.0463          | 0.4682   | 0.9365        | 0.9365           | [0.0, 0.9364508815179218] | [nan, 0.9364508815179218] |
| 0.0026        | 43.41 | 3820 | 0.0484          | 0.4657   | 0.9315        | 0.9315           | [0.0, 0.9314698709335492] | [nan, 0.9314698709335492] |
| 0.0019        | 43.64 | 3840 | 0.0477          | 0.4673   | 0.9345        | 0.9345           | [0.0, 0.9345486412726757] | [nan, 0.9345486412726757] |
| 0.003         | 43.86 | 3860 | 0.0472          | 0.4688   | 0.9375        | 0.9375           | [0.0, 0.9375218537716036] | [nan, 0.9375218537716036] |
| 0.0025        | 44.09 | 3880 | 0.0473          | 0.4670   | 0.9340        | 0.9340           | [0.0, 0.9339999604158099] | [nan, 0.9339999604158099] |
| 0.0019        | 44.32 | 3900 | 0.0481          | 0.4670   | 0.9340        | 0.9340           | [0.0, 0.9340263498758595] | [nan, 0.9340263498758595] |
| 0.0024        | 44.55 | 3920 | 0.0478          | 0.4671   | 0.9343        | 0.9343           | [0.0, 0.9342561580904587] | [nan, 0.9342561580904587] |
| 0.0021        | 44.77 | 3940 | 0.0479          | 0.4677   | 0.9355        | 0.9355           | [0.0, 0.9354579780835535] | [nan, 0.9354579780835535] |
| 0.0019        | 45.0  | 3960 | 0.0479          | 0.4682   | 0.9363        | 0.9363           | [0.0, 0.9363112372918256] | [nan, 0.9363112372918256] |
| 0.0024        | 45.23 | 3980 | 0.0481          | 0.4681   | 0.9362        | 0.9362           | [0.0, 0.9362133763774748] | [nan, 0.9362133763774748] |
| 0.0023        | 45.45 | 4000 | 0.0497          | 0.4670   | 0.9340        | 0.9340           | [0.0, 0.933970272273254]  | [nan, 0.933970272273254]  |
| 0.0027        | 45.68 | 4020 | 0.0487          | 0.4671   | 0.9343        | 0.9343           | [0.0, 0.9342781493071667] | [nan, 0.9342781493071667] |
| 0.0023        | 45.91 | 4040 | 0.0477          | 0.4672   | 0.9344        | 0.9344           | [0.0, 0.9344309882632876] | [nan, 0.9344309882632876] |
| 0.003         | 46.14 | 4060 | 0.0485          | 0.4678   | 0.9356        | 0.9356           | [0.0, 0.9355877262621309] | [nan, 0.9355877262621309] |
| 0.0017        | 46.36 | 4080 | 0.0488          | 0.4677   | 0.9354        | 0.9354           | [0.0, 0.9353678140950504] | [nan, 0.9353678140950504] |
| 0.0022        | 46.59 | 4100 | 0.0481          | 0.4668   | 0.9337        | 0.9337           | [0.0, 0.9336634948001769] | [nan, 0.9336634948001769] |
| 0.0032        | 46.82 | 4120 | 0.0487          | 0.4676   | 0.9352        | 0.9352           | [0.0, 0.935249061524827]  | [nan, 0.935249061524827]  |
| 0.0021        | 47.05 | 4140 | 0.0483          | 0.4675   | 0.9351        | 0.9351           | [0.0, 0.9350885256428583] | [nan, 0.9350885256428583] |
| 0.002         | 47.27 | 4160 | 0.0486          | 0.4673   | 0.9347        | 0.9347           | [0.0, 0.9346530995520389] | [nan, 0.9346530995520389] |
| 0.0028        | 47.5  | 4180 | 0.0487          | 0.4675   | 0.9349        | 0.9349           | [0.0, 0.9349224919567125] | [nan, 0.9349224919567125] |
| 0.0026        | 47.73 | 4200 | 0.0482          | 0.4667   | 0.9335        | 0.9335           | [0.0, 0.9334589764847919] | [nan, 0.9334589764847919] |
| 0.0022        | 47.95 | 4220 | 0.0490          | 0.4670   | 0.9341        | 0.9341           | [0.0, 0.9340769296742881] | [nan, 0.9340769296742881] |
| 0.0027        | 48.18 | 4240 | 0.0489          | 0.4679   | 0.9358        | 0.9358           | [0.0, 0.9358153353550592] | [nan, 0.9358153353550592] |
| 0.0021        | 48.41 | 4260 | 0.0491          | 0.4676   | 0.9353        | 0.9353           | [0.0, 0.9352864465932307] | [nan, 0.9352864465932307] |
| 0.0024        | 48.64 | 4280 | 0.0491          | 0.4672   | 0.9344        | 0.9344           | [0.0, 0.9343804084648591] | [nan, 0.9343804084648591] |
| 0.0025        | 48.86 | 4300 | 0.0493          | 0.4675   | 0.9349        | 0.9349           | [0.0, 0.9349466822950914] | [nan, 0.9349466822950914] |
| 0.0022        | 49.09 | 4320 | 0.0484          | 0.4677   | 0.9354        | 0.9354           | [0.0, 0.9353623162908734] | [nan, 0.9353623162908734] |
| 0.0027        | 49.32 | 4340 | 0.0480          | 0.4677   | 0.9354        | 0.9354           | [0.0, 0.9354117965284665] | [nan, 0.9354117965284665] |
| 0.0018        | 49.55 | 4360 | 0.0498          | 0.4675   | 0.9350        | 0.9350           | [0.0, 0.9349983616543552] | [nan, 0.9349983616543552] |
| 0.0021        | 49.77 | 4380 | 0.0493          | 0.4672   | 0.9345        | 0.9345           | [0.0, 0.9344738711358683] | [nan, 0.9344738711358683] |
| 0.0017        | 50.0  | 4400 | 0.0496          | 0.4672   | 0.9344        | 0.9344           | [0.0, 0.9343870058298716] | [nan, 0.9343870058298716] |


### Framework versions

- Transformers 4.21.1
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1

{"license": "other", "tags": ["vision", "image-segmentation", "generated_from_trainer"], "model-index": [{"name": "segformer-b5-finetuned-segments-instryde-foot-test", "results": []}]}
transformers pytorch tensorboard segformer vision image-segmentation generated_from_trainer license:other endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #segformer #vision #image-segmentation #generated_from_trainer #license-other #endpoints_compatible #region-us 

segformer-b5-finetuned-segments-instryde-foot-test
==================================================


This model is a fine-tuned version of nvidia/mit-b5 on the inStryde/inStrydeSegmentationFoot dataset.
It achieves the following results on the evaluation set:


* Loss: 0.0496
* Mean Iou: 0.4672
* Mean Accuracy: 0.9344
* Overall Accuracy: 0.9344
* Per Category Iou: [0.0, 0.9343870058298716]
* Per Category Accuracy: [nan, 0.9343870058298716]


Model description
-----------------


More information needed


Intended uses & limitations
---------------------------


More information needed


Training and evaluation data
----------------------------


More information needed


Training procedure
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### 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: 50


### Training results



### Framework versions


* Transformers 4.21.1
* Pytorch 1.12.0+cu113
* Datasets 2.4.0
* Tokenizers 0.12.1



### 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: 50 ### Training results ### Framework versions


* Transformers 4.21.1
* Pytorch 1.12.0+cu113
* Datasets 2.4.0
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #segformer #vision #image-segmentation #generated_from_trainer #license-other #endpoints_compatible #region-us 
 ### 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: 50 ### Training results ### Framework versions


* Transformers 4.21.1
* Pytorch 1.12.0+cu113
* Datasets 2.4.0
* Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #tensorboard #segformer #vision #image-segmentation #generated_from_trainer #license-other #endpoints_compatible #region-us 
### 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: 50### Training results### Framework versions


* Transformers 4.21.1
* Pytorch 1.12.0+cu113
* Datasets 2.4.0
* Tokenizers 0.12.1