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---
license: other
tags:
- generated_from_keras_callback
model-index:
- name: sayakpaul/mit-b0-finetuned-sidewalks
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# sayakpaul/mit-b0-finetuned-sidewalks
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.2706
- Validation Loss: 0.6428
- Validation Mean Iou: 0.3221
- Validation Mean Accuracy: 0.3962
- Validation Overall Accuracy: 0.8382
- Validation Per Category Iou: [0. 0.68452221 0.8452384 0.47997747 0.51381266 0.28444074
nan 0.37559387 0.49555801 0.03074893 0.81638827 0.
0. nan 0. 0.51609207 0. 0.
0.71837159 0.08793388 0.44408701 0.37771393 0. nan
0. 0.32731481 0.15540722 0. 0.85633997 0.83551836
0.91595508 0.00870258 0.18741004 0.35077478 0. ]
- Validation Per Category Accuracy: [0. 0.85198925 0.92426408 0.60975057 0.67323702 0.32590697
nan 0.51767974 0.69125992 0.03437323 0.90694783 0.
0. nan 0. 0.75364599 0. 0.
0.86882314 0.0906936 0.61902497 0.43503007 0. nan
0. 0.36935451 0.18301109 0. 0.9493751 0.91609312
0.96411175 0.02618015 0.47471968 0.49440352 0. ]
- Epoch: 19
## 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:
- optimizer: {'name': 'Adam', 'learning_rate': 6e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Validation Mean Iou | Validation Mean Accuracy | Validation Overall Accuracy | Validation Per Category Iou | Validation Per Category Accuracy | Epoch |
|:----------:|:---------------:|:-------------------:|:------------------------:|:---------------------------:|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:-----:|
| 1.5309 | 0.9380 | 0.1674 | 0.2153 | 0.7545 | [0.00000000e+00 5.50637719e-01 7.61499932e-01 6.48396077e-04
3.56923200e-01 9.75833116e-02 0.00000000e+00 2.82588573e-02
5.28802378e-02 0.00000000e+00 5.93637894e-01 0.00000000e+00
0.00000000e+00 nan 0.00000000e+00 0.00000000e+00
0.00000000e+00 0.00000000e+00 5.53393589e-01 0.00000000e+00
1.50378244e-01 1.75413833e-02 0.00000000e+00 nan
0.00000000e+00 2.76097981e-02 0.00000000e+00 0.00000000e+00
7.86211179e-01 7.05492777e-01 8.34315629e-01 0.00000000e+00
0.00000000e+00 7.43899822e-03 0.00000000e+00] | [0.00000000e+00 7.08723416e-01 9.71019213e-01 6.48665345e-04
4.09438347e-01 1.09468057e-01 nan 3.05932982e-02
5.44133505e-02 0.00000000e+00 8.74063503e-01 0.00000000e+00
0.00000000e+00 nan 0.00000000e+00 0.00000000e+00
0.00000000e+00 0.00000000e+00 8.66648886e-01 0.00000000e+00
1.61194155e-01 1.77691783e-02 0.00000000e+00 nan
0.00000000e+00 2.81195635e-02 0.00000000e+00 0.00000000e+00
9.17500033e-01 8.30294930e-01 9.02491399e-01 0.00000000e+00
0.00000000e+00 7.77243386e-03 0.00000000e+00] | 0 |
| 0.8850 | 0.7741 | 0.2215 | 0.2711 | 0.7807 | [0. 0.56319416 0.79436978 0.22447649 0.37746306 0.2182132
nan 0.17433499 0.35240193 0. 0.64391654 0.
0. nan 0. 0. 0. 0.
0.61824159 0. 0.36925143 0.09610409 0. nan
0. 0.23049759 0. 0. 0.79662258 0.72121144
0.85940151 0. 0.00144295 0.04769959 0. ] | [0. 0.7334003 0.94650286 0.24751216 0.4478931 0.27208929
nan 0.22448353 0.45667969 0. 0.92555657 0.
0. nan 0. 0. 0. 0.
0.85871282 0. 0.43579563 0.09928831 0. nan
0. 0.25660062 0. 0. 0.93127726 0.85151776
0.9323404 0. 0.00144459 0.05442322 0. ] | 1 |
| 0.7280 | 0.6948 | 0.2608 | 0.3178 | 0.8009 | [0. 0.5833859 0.81088427 0.37870695 0.42920979 0.26901769
nan 0.26967864 0.37309309 0. 0.73143999 0.
0. nan 0. 0.30875952 0. 0.
0.64460152 0. 0.36681761 0.20754432 0. nan
0. 0.27251923 0.01267829 0. 0.82057447 0.76705857
0.86538224 0. 0.13369659 0.09996937 0. ] | [0. 0.71016102 0.95278314 0.44786052 0.50520329 0.32109583
nan 0.37049571 0.63857903 0. 0.88589428 0.
0. nan 0. 0.34012586 0. 0.
0.88972948 0. 0.49551485 0.25354461 0. nan
0. 0.3309279 0.01267829 0. 0.93305477 0.86649237
0.94355496 0. 0.14937745 0.12218876 0. ] | 2 |
| 0.6505 | 0.6601 | 0.2774 | 0.3400 | 0.8158 | [0. 0.67274147 0.83098512 0.46721789 0.48492165 0.28810209
nan 0.30676731 0.41116935 0. 0.73679658 0.
0. nan 0. 0.47421792 0. 0.
0.66232704 0. 0.40729478 0.27226345 0. nan
0. 0.22211219 0.00310618 0. 0.81170746 0.73786496
0.88368738 0. 0.07716099 0.12776685 0. ] | [0. 0.80048159 0.93309497 0.558633 0.56439564 0.38053253
nan 0.46424754 0.60183499 0. 0.92479351 0.
0. nan 0. 0.60493457 0. 0.
0.88399244 0. 0.55428873 0.34754253 0. nan
0. 0.25438648 0.00310618 0. 0.90931833 0.91190458
0.94609539 0. 0.08323588 0.15250888 0. ] | 3 |
| 0.5810 | 0.6610 | 0.2893 | 0.3501 | 0.8173 | [0. 0.64601276 0.81866457 0.46535767 0.50543168 0.28373075
nan 0.33004533 0.40404147 0. 0.76223358 0.
0. nan 0. 0.52641725 0. 0.
0.65767205 0. 0.39175791 0.25442534 0. nan
0. 0.30521727 0.03951998 0. 0.82740493 0.75297779
0.88342457 0. 0.20580056 0.19670152 0. ] | [0. 0.73558164 0.95660246 0.55532275 0.61966264 0.32151473
nan 0.47707119 0.54010289 0. 0.91394179 0.
0. nan 0. 0.63758616 0. 0.
0.88501875 0. 0.56845175 0.29123233 0. nan
0. 0.38980592 0.03987322 0. 0.92751577 0.84695264
0.93293488 0. 0.32582376 0.23722217 0. ] | 4 |
| 0.5288 | 0.6364 | 0.3033 | 0.3717 | 0.8260 | [0. 0.64487768 0.8377146 0.48707167 0.50884928 0.34176886
nan 0.34887555 0.45218372 0. 0.75715898 0.
0. nan 0. 0.5222127 0. 0.
0.69808156 0. 0.42644563 0.35474225 0. nan
0. 0.28867161 0.03742875 0. 0.83332433 0.7818028
0.88638015 0.00137015 0.2124537 0.28445749 0. ] | [0. 0.74189035 0.92893266 0.625763 0.62296571 0.54003942
nan 0.49591369 0.64509343 0. 0.92976992 0.
0. nan 0. 0.66209669 0. 0.
0.86461114 0. 0.54041026 0.4796133 0. nan
0. 0.33899822 0.03746434 0. 0.92987636 0.92582211
0.96099073 0.00151698 0.26040449 0.36377671 0. ] | 5 |
| 0.4936 | 0.6299 | 0.2980 | 0.3599 | 0.8264 | [0. 0.66237142 0.83413529 0.50181208 0.52374508 0.34163702
nan 0.35933641 0.43258492 0. 0.76814068 0.
0. nan 0. 0.49822203 0. 0.
0.65539745 0. 0.3955574 0.32740018 0. nan
0. 0.31514128 0.04382747 0. 0.84497596 0.79425761
0.89798116 0.00201253 0.18109898 0.15596963 0. ] | [0. 0.72498823 0.94241029 0.63156495 0.72628664 0.44784858
nan 0.50327208 0.59434829 0. 0.91352866 0.
0. nan 0. 0.62105434 0. 0.
0.90132969 0. 0.4624487 0.42016669 0. nan
0. 0.37948533 0.04393027 0. 0.94520928 0.88447616
0.94729824 0.00247937 0.23226938 0.19132714 0. ] | 6 |
| 0.4528 | 0.6340 | 0.2980 | 0.3664 | 0.8212 | [0. 0.60868123 0.83498291 0.18287132 0.46939835 0.31058578
nan 0.34162709 0.445366 0. 0.78966215 0.
0. nan 0. 0.53583212 0. 0.
0.71233622 0.03447214 0.47235409 0.37419598 0. nan
0. 0.32268508 0.05312127 0. 0.83874416 0.79217023
0.89975806 0.00192312 0.20492869 0.31166384 0. ] | [0. 0.70588336 0.94249106 0.19298309 0.73275474 0.44094168
nan 0.48341533 0.71859918 0. 0.90854187 0.
0. nan 0. 0.6752697 0. 0.
0.88312382 0.03451747 0.65575793 0.42127597 0. nan
0. 0.39094462 0.05356577 0. 0.95291962 0.86480438
0.95973926 0.00251199 0.29803261 0.40525743 0. ] | 7 |
| 0.4458 | 0.6356 | 0.3066 | 0.3759 | 0.8311 | [0. 0.66186021 0.83364406 0.48364478 0.53627121 0.27582606
nan 0.35739504 0.41076225 0. 0.77850446 0.
0. nan 0. 0.50299945 0. 0.
0.70340595 0.01741996 0.40137463 0.32885851 0. nan
0. 0.32114603 0.05439069 0. 0.84655176 0.80081688
0.90314194 0.00292704 0.24599153 0.34524384 0. ] | [0. 0.74699777 0.95226432 0.65030589 0.70566846 0.35272168
nan 0.47019568 0.71372001 0. 0.91011138 0.
0. nan 0. 0.62189092 0. 0.
0.87945472 0.01742109 0.52016264 0.36958738 0. nan
0. 0.3993222 0.05508716 0. 0.928178 0.89821483
0.96116851 0.0033765 0.40579212 0.46633448 0. ] | 8 |
| 0.3970 | 0.6094 | 0.3154 | 0.3845 | 0.8365 | [0. 0.70298046 0.85101569 0.48546331 0.53875077 0.30506197
nan 0.36967252 0.46956636 0. 0.78487773 0.
0. nan 0. 0.54510928 0. 0.
0.69555357 0.0474544 0.43944078 0.34243937 0. nan
0. 0.31970314 0.07436481 0. 0.84065947 0.79505994
0.90045732 0.0134226 0.27125836 0.30161838 0. ] | [0. 0.78336023 0.94550091 0.59681159 0.65835184 0.43832978
nan 0.56126034 0.72465395 0. 0.92553299 0.
0. nan 0. 0.67204825 0. 0.
0.84423958 0.04768476 0.62117922 0.41246864 0. nan
0. 0.38035291 0.07866878 0. 0.9420769 0.91782163
0.95911561 0.01988386 0.38917934 0.38662485 0. ] | 9 |
| 0.3827 | 0.6001 | 0.3153 | 0.3830 | 0.8399 | [0.00000000e+00 7.18523940e-01 8.57241195e-01 4.87400335e-01
5.64909227e-01 3.46474032e-01 nan 3.52839201e-01
4.72771964e-01 2.26308345e-04 7.96560839e-01 0.00000000e+00
0.00000000e+00 nan 0.00000000e+00 5.60432300e-01
0.00000000e+00 0.00000000e+00 6.83278176e-01 3.50039777e-02
4.23414561e-01 3.13947966e-01 0.00000000e+00 nan
0.00000000e+00 3.22699644e-01 1.08833077e-01 0.00000000e+00
8.47684853e-01 8.05165122e-01 9.05812333e-01 6.78139068e-03
2.30358320e-01 2.48185158e-01 0.00000000e+00] | [0.00000000e+00 8.00405608e-01 9.43426295e-01 6.48294679e-01
6.81857870e-01 5.18050809e-01 nan 4.57279092e-01
6.27335726e-01 2.26885990e-04 9.00155725e-01 0.00000000e+00
0.00000000e+00 nan 0.00000000e+00 7.09644391e-01
0.00000000e+00 0.00000000e+00 8.82359726e-01 3.50045460e-02
6.04178245e-01 3.33862219e-01 0.00000000e+00 nan
0.00000000e+00 4.02788008e-01 1.21141046e-01 0.00000000e+00
9.46216343e-01 9.21245814e-01 9.55916812e-01 1.34407725e-02
4.56834285e-01 2.96304685e-01 0.00000000e+00] | 10 |
| 0.3545 | 0.6001 | 0.3183 | 0.3876 | 0.8403 | [0. 0.72446673 0.85906725 0.50307184 0.59402909 0.33935205
nan 0.36653095 0.49281565 0. 0.79716382 0.
0. nan 0. 0.54502138 0. 0.
0.67058988 0.01229056 0.33404111 0.35615386 0. nan
0. 0.3402916 0.13274148 0. 0.84876007 0.80426728
0.90568008 0.00767061 0.27079805 0.280819 0. ] | [0. 0.80252235 0.93835903 0.64483513 0.75981034 0.47343152
nan 0.51602703 0.68908551 0. 0.91483973 0.
0. nan 0. 0.72268005 0. 0.
0.90438608 0.01229056 0.42963846 0.43749539 0. nan
0. 0.40012652 0.15828843 0. 0.92988659 0.92495156
0.96015873 0.01578965 0.43451194 0.3352385 0. ] | 11 |
| 0.3397 | 0.6115 | 0.3192 | 0.3868 | 0.8430 | [0.00000000e+00 7.41164914e-01 8.53475354e-01 4.90058493e-01
5.38510608e-01 3.20539250e-01 nan 3.99845020e-01
4.92502734e-01 2.05511936e-03 7.89583806e-01 0.00000000e+00
0.00000000e+00 nan 0.00000000e+00 5.24630954e-01
0.00000000e+00 0.00000000e+00 6.89126355e-01 1.00217065e-01
3.82209653e-01 2.80744319e-01 0.00000000e+00 nan
0.00000000e+00 3.32851489e-01 1.26552665e-01 0.00000000e+00
8.47240409e-01 8.22332088e-01 9.10638012e-01 2.90160652e-05
2.21796079e-01 3.46893446e-01 0.00000000e+00] | [0.00000000e+00 8.48318759e-01 9.46569249e-01 6.63363278e-01
6.38141209e-01 3.85953320e-01 nan 5.53582721e-01
7.04615765e-01 2.21213840e-03 9.22610901e-01 0.00000000e+00
0.00000000e+00 nan 0.00000000e+00 6.66079812e-01
0.00000000e+00 0.00000000e+00 8.81123024e-01 1.01945058e-01
5.26802988e-01 3.23168426e-01 0.00000000e+00 nan
0.00000000e+00 3.84975486e-01 1.44025357e-01 0.00000000e+00
9.40049850e-01 9.07373703e-01 9.60336520e-01 4.89348514e-05
4.45552728e-01 4.32057650e-01 0.00000000e+00] | 12 |
| 0.3241 | 0.6287 | 0.3273 | 0.3978 | 0.8429 | [0. 0.685145 0.85514983 0.51435122 0.58568553 0.33123954
nan 0.37904882 0.48699633 0.01165282 0.80640467 0.
0. nan 0. 0.57752157 0. 0.
0.70991794 0.08028905 0.46064235 0.36005242 0. nan
0. 0.35412099 0.13762468 0. 0.85041598 0.81527344
0.9123073 0. 0.22657474 0.33418397 0. ] | [0. 0.76391796 0.9469649 0.63487005 0.75620599 0.46553721
nan 0.50872319 0.65626602 0.01264889 0.90580182 0.
0. nan 0. 0.72616372 0. 0.
0.890303 0.08135797 0.6078355 0.43398998 0. nan
0. 0.44669122 0.16006339 0. 0.93441314 0.92555522
0.96272416 0. 0.48263053 0.42826041 0. ] | 13 |
| 0.3022 | 0.6032 | 0.3218 | 0.3854 | 0.8424 | [0. 0.71587478 0.85670087 0.46056474 0.53488585 0.33850716
nan 0.39350336 0.39935661 0.00419527 0.79331659 0.
0. nan 0. 0.54292597 0. 0.
0.70157662 0.10836491 0.46409267 0.33272244 0. nan
0. 0.35897761 0.13052432 0. 0.85299834 0.81782186
0.9117891 0.00236702 0.25552987 0.32071305 0. ] | [0. 0.80394187 0.9358135 0.53614593 0.72288497 0.49714062
nan 0.54396953 0.50146729 0.00436756 0.94495949 0.
0. nan 0. 0.60785636 0. 0.
0.88179116 0.12443174 0.61622522 0.36928296 0. nan
0. 0.43465805 0.14865293 0. 0.95160943 0.91951241
0.96357421 0.00432258 0.41442526 0.40644768 0. ] | 14 |
| 0.2937 | 0.5953 | 0.3305 | 0.4030 | 0.8449 | [0. 0.69638318 0.85825162 0.52324422 0.5433419 0.3469765
nan 0.40975989 0.49170959 0.00172109 0.81852012 0.
0. nan 0. 0.54972175 0. 0.
0.72653579 0.12940395 0.49040852 0.36779631 0. nan
0. 0.34952524 0.12859991 0. 0.84955571 0.82163775
0.91348544 0.01357343 0.20901572 0.33696003 0. ] | [0. 0.77149692 0.93467369 0.62786344 0.75698164 0.52205905
nan 0.57849458 0.72399102 0.0020987 0.92177615 0.
0. nan 0. 0.66111028 0. 0.
0.89225829 0.13292311 0.62957849 0.44703839 0. nan
0. 0.41933079 0.14719493 0. 0.94294399 0.92316157
0.95997955 0.02286889 0.43984316 0.43884091 0. ] | 15 |
| 0.2985 | 0.6752 | 0.3106 | 0.3773 | 0.8330 | [0. 0.70132108 0.84614259 0.46333382 0.56218727 0.24626879
nan 0.40366902 0.47740097 0.0250144 0.80566818 0.
0. nan 0. 0.53413689 0. 0.
0.65726308 0.08036975 0.36642674 0.26539948 0. nan
0. 0.35749813 0.13576539 0. 0.84624546 0.80479301
0.90656978 0.00419358 0.21944385 0.22915907 0. ] | [0. 0.75132765 0.94954979 0.66569367 0.76524644 0.28265659
nan 0.5278041 0.66034967 0.0295519 0.90881823 0.
0. nan 0. 0.62968235 0. 0.
0.91281232 0.08130926 0.483296 0.29302424 0. nan
0. 0.44332482 0.15759113 0. 0.93912247 0.92471332
0.96940512 0.0103905 0.42560363 0.26159798 0. ] | 16 |
| 0.2833 | 0.6446 | 0.3261 | 0.3949 | 0.8447 | [0.00000000e+00 7.08995850e-01 8.49245624e-01 5.02729624e-01
5.44178924e-01 2.80874020e-01 nan 4.09531940e-01
4.68642701e-01 5.72334850e-02 7.86049035e-01 4.15253651e-04
0.00000000e+00 nan 0.00000000e+00 5.20689462e-01
0.00000000e+00 0.00000000e+00 7.19140232e-01 1.09126891e-01
4.66887817e-01 3.77114972e-01 0.00000000e+00 nan
0.00000000e+00 3.57675941e-01 1.49472418e-01 0.00000000e+00
8.48995042e-01 8.23287514e-01 9.17986999e-01 4.86177781e-03
2.08704959e-01 3.22665861e-01 0.00000000e+00] | [0.00000000e+00 8.00869189e-01 9.55886409e-01 6.05400396e-01
6.79327160e-01 3.35582853e-01 nan 5.64117225e-01
7.19032298e-01 7.06182643e-02 9.12828794e-01 4.70698988e-04
0.00000000e+00 nan 0.00000000e+00 6.96671162e-01
0.00000000e+00 0.00000000e+00 8.85781041e-01 1.13699831e-01
6.05324120e-01 4.37527674e-01 0.00000000e+00 nan
0.00000000e+00 4.41345654e-01 1.73312203e-01 0.00000000e+00
9.54319708e-01 8.94089174e-01 9.60961557e-01 6.44308877e-03
4.22542478e-01 3.99729132e-01 0.00000000e+00] | 17 |
| 0.2777 | 0.5923 | 0.3311 | 0.4005 | 0.8496 | [0. 0.74552742 0.85847838 0.50817039 0.54300979 0.31118625
nan 0.42604196 0.48432857 0. 0.80689375 0.
0. nan 0. 0.53701465 0. 0.
0.72095961 0.1181785 0.44646925 0.38422934 0. nan
0. 0.36931298 0.14420905 0. 0.85509203 0.82052953
0.91364053 0.00100348 0.23289685 0.36817268 0. ] | [0. 0.84028626 0.9434955 0.64877174 0.63691529 0.41306725
nan 0.60885149 0.7505436 0. 0.92003686 0.
0. nan 0. 0.6933623 0. 0.
0.87623974 0.12084362 0.60794245 0.40909699 0. nan
0. 0.43594135 0.17001585 0. 0.95100912 0.93487828
0.9639534 0.00228363 0.4196533 0.46863408 0. ] | 18 |
| 0.2706 | 0.6428 | 0.3221 | 0.3962 | 0.8382 | [0. 0.68452221 0.8452384 0.47997747 0.51381266 0.28444074
nan 0.37559387 0.49555801 0.03074893 0.81638827 0.
0. nan 0. 0.51609207 0. 0.
0.71837159 0.08793388 0.44408701 0.37771393 0. nan
0. 0.32731481 0.15540722 0. 0.85633997 0.83551836
0.91595508 0.00870258 0.18741004 0.35077478 0. ] | [0. 0.85198925 0.92426408 0.60975057 0.67323702 0.32590697
nan 0.51767974 0.69125992 0.03437323 0.90694783 0.
0. nan 0. 0.75364599 0. 0.
0.86882314 0.0906936 0.61902497 0.43503007 0. nan
0. 0.36935451 0.18301109 0. 0.9493751 0.91609312
0.96411175 0.02618015 0.47471968 0.49440352 0. ] | 19 |
### Framework versions
- Transformers 4.24.0
- TensorFlow 2.9.2
- Datasets 2.6.1
- Tokenizers 0.13.1