MF21377197 commited on
Commit
121c3c3
1 Parent(s): c4ef761

End of training

Browse files
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  license: other
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- base_model: nvidia/mit-b0
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -13,14 +13,14 @@ should probably proofread and complete it, then remove this comment. -->
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  # segformer-b0-finetuned
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- This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.1448
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- - Mean Iou: 0.0621
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- - Mean Accuracy: 0.1311
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- - Overall Accuracy: 0.5694
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- - Per Category Iou: [0.8550481300418534, nan, nan, 0.00042917840946481454, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0035255958256945425, nan, nan, nan, nan, nan, nan, 0.08070337095907242, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.020468047313137273, 5.248209434428254e-05, 0.12350529313396912, 0.0, 0.0, 0.0, 0.028395380544193886, nan, 0.0, nan, 0.0, 0.0, 0.34013970948047384, 0.5335314841565946, nan, 0.0, nan, nan, nan, 0.0, 0.24678400688049507, 0.0, nan, nan, 0.09716825750577932, nan, 0.0, 0.34354803972275194, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, nan, 0.26491336095252754, 0.0, nan, 0.22881287680871717, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, 0.0, 0.0]
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- - Per Category Accuracy: [0.9610622705202703, nan, nan, 0.00043395871606081207, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0035397603582237483, nan, nan, nan, nan, nan, nan, 0.12223772970458247, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.022879313550433066, 5.2532044547173775e-05, 0.6872901071731026, nan, 0.0, 0.0, 0.04283141361256545, nan, 0.0, nan, 0.0, 0.0, 0.7590761107764111, 0.8930522214104304, nan, 0.0, nan, nan, nan, 0.0, 0.38615526957691987, 0.0, nan, nan, 0.313848218161727, nan, 0.0, 0.677832885133731, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, nan, 0.7600937118935371, 0.0, nan, 0.924590781668389, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, 0.0, 0.0]
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  ## Model description
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@@ -49,18 +49,18 @@ The following hyperparameters were used during training:
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  ### Training results
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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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- | 3.5013 | 1.0 | 80 | 3.5761 | 0.0269 | 0.0734 | 0.4677 | [0.8175424662930586, nan, nan, 0.0, 0.0, 0.059202870017937614, nan, nan, 0.032009914610815426, 0.0, 0.02950322304976356, nan, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00031781035153716436, 0.0, 0.07966104950332542, 0.0, 0.0, 0.0, 0.009403524366856795, nan, 0.0, 0.0, 0.0, 0.0, 0.23238681465595276, 0.06121558463406812, nan, 0.0, 0.0, nan, nan, 0.00041837600381187023, 0.07937917141736932, 0.0, nan, 0.0, 0.03742442787730425, nan, 0.0006403688524590163, 0.058957276270313996, nan, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, 0.00028816664265277975, nan, 0.05086796506025999, 7.162297665090961e-05, nan, 0.23036610597047402, 0.0, 0.0, nan, 0.0, nan, 0.025841378206837698, 0.0, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, 0.0] | [0.8712281829115944, nan, nan, 0.0, 0.0, 0.06618603695696831, nan, nan, 0.0441842440347672, 0.0, 0.05274256977033171, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.00034378606684183383, 0.0, 0.7401628200510719, nan, 0.0, 0.0, 0.009570680628272252, nan, 0.0, nan, 0.0, 0.0, 0.44028830128275603, 0.4051073304804648, nan, 0.0, nan, nan, nan, 0.00043150463268168144, 0.37038438893094455, 0.0, nan, nan, 0.03982004025415368, nan, 0.0006413898000696366, 0.0621710230427325, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, 0.00031322012663042263, nan, 0.15460542107941508, 7.295223087922029e-05, nan, 0.35662942261248864, 0.0, 0.0, nan, nan, nan, 0.05331205985915493, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, 0.0, 0.0] |
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- | 2.8494 | 2.0 | 160 | 3.0977 | 0.0384 | 0.0907 | 0.5118 | [0.8492443215484891, nan, nan, 0.0, 0.0, 0.010014564909040714, nan, nan, 0.010204634627473933, 0.0, 0.0007972877849765123, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.00808669820662339, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 3.435576077396658e-06, 0.0, 0.08523467288736354, 0.0, 0.0, 0.0, 0.01036119563839229, nan, 0.0, nan, 0.0, 0.0, 0.24418460826581598, 0.15337036708972882, nan, 0.0, nan, nan, nan, 0.0, 0.017242895430059222, 0.0, nan, nan, 0.05789385117625282, nan, 0.0, 0.13254413234151216, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, 0.014965095986038394, nan, 0.10244684673732912, 0.0017560730860893925, nan, 0.25216585292623617, 0.0, 0.0, nan, nan, nan, 0.006570459215367707, 0.0018782388949125338, 0.0, 0.0, nan, nan, nan, nan, 0.0, 0.0, 0.0] | [0.9088769153696724, nan, nan, 0.0, 0.0, 0.01029082336369061, nan, nan, 0.010424624923877539, 0.0, 0.0008113679224595413, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.008548499651081646, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 3.5080210902227944e-06, 0.0, 0.6098516189530586, nan, 0.0, 0.0, 0.010952879581151832, nan, 0.0, nan, 0.0, 0.0, 0.8044848820658953, 0.527102250982848, nan, 0.0, nan, nan, nan, 0.0, 0.023708890571116158, 0.0, nan, nan, 0.06788744622913295, nan, 0.0, 0.14811678623825608, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, 0.015347786204890709, nan, 0.5502309191638902, 0.0018383962181563512, nan, 0.8247626333849079, 0.0, 0.0, nan, nan, nan, 0.007564920774647888, 0.001971396824258934, 0.0, 0.0, nan, nan, nan, nan, 0.0, 0.0, 0.0] |
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- | 2.7113 | 3.0 | 240 | 2.7917 | 0.0474 | 0.1035 | 0.5198 | [0.8544694378586492, nan, nan, 0.0, 0.0, 0.006089872044261542, nan, nan, 0.0012565274151436032, 0.0, 0.0009730300662673264, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0001142034482519951, 0.0, 0.08833209277476212, 0.0, 0.0, 0.0, 0.007615087707072701, nan, 0.0, nan, 0.0, 0.0, 0.2588740255158896, 0.4085196228922961, nan, 0.0, nan, nan, nan, 0.0, 0.08213200712762539, 0.0, nan, nan, 0.12805633499341354, nan, 0.0, 0.2737720615288985, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, nan, 0.12741785445208112, 0.0, nan, 0.16176781200067059, 0.0, 0.0, nan, nan, nan, 0.019308372069264952, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, 0.0, 0.0] | [0.9139510992832094, nan, nan, 0.0, 0.0, 0.006094280376025903, nan, nan, 0.001278857332668992, 0.0, 0.0009831440141514262, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.00011576469597735222, 0.0, 0.6630715168741665, nan, 0.0, 0.0, 0.008238743455497383, nan, 0.0, nan, 0.0, 0.0, 0.6497200979767019, 0.6041557944543019, nan, 0.0, nan, nan, nan, 0.0, 0.11824480612330726, 0.0, nan, nan, 0.20640119973163898, nan, 0.0, 0.37158073331038055, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, nan, 0.6365399571767372, 0.0, nan, 0.9751186119405542, 0.0, 0.0, nan, nan, nan, 0.020796654929577465, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, 0.0, 0.0] |
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- | 2.3006 | 4.0 | 320 | 2.5233 | 0.0473 | 0.1039 | 0.5363 | [0.8606973059248958, nan, nan, 0.0, 0.0, 0.0, nan, nan, 0.0, 0.0, 3.647278947541187e-06, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0020728715552469127, 0.0, 0.09177348203027101, 0.0, 0.0, 0.0, 0.0009986240332976318, nan, 0.0, nan, 0.0, 0.0, 0.23319698332297034, 0.39445183675531825, nan, 0.0, nan, nan, nan, 0.0, 0.013124702957628048, 0.0, nan, nan, 0.07981747923347933, nan, 0.0, 0.3518240006323729, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, nan, 0.16744499629188483, 0.0, nan, 0.21487743654243152, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, 0.0, 0.0] | [0.9424400895406918, nan, nan, 0.0, 0.0, 0.0, nan, nan, 0.0, 0.0, 3.654810461529465e-06, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0020837645275923397, 0.0, 0.6064381734822011, nan, 0.0, 0.0, 0.0010973821989528796, nan, 0.0, nan, 0.0, 0.0, 0.7020432334656986, 0.6110792192881745, nan, 0.0, nan, nan, nan, 0.0, 0.01509798973841366, 0.0, nan, nan, 0.15145822644934687, nan, 0.0, 0.524601350492089, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, nan, 0.7153981315231063, 0.0, nan, 0.9246878407773864, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, 0.0, 0.0] |
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- | 2.3703 | 5.0 | 400 | 2.4652 | 0.0554 | 0.1247 | 0.5516 | [0.8576100267314768, nan, nan, 0.005385304042421321, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0034500447963931678, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.00819179446667468, nan, nan, nan, nan, nan, nan, 0.011874869219501987, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.004747884059308985, 0.0, 0.10941975717444996, 0.0, 0.0, 0.0, 0.021647374236907414, nan, 0.0, nan, 0.0, 0.0, 0.31343508772451395, 0.4322671603287652, nan, 0.0, nan, nan, nan, 0.0, 0.18168809998188734, 0.0, nan, nan, 0.08393467764957897, nan, 0.0, 0.3385027124556082, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, nan, 0.24714585892343857, 0.0, nan, 0.20648750708976388, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, 0.0, 0.0] | [0.9446073716763091, nan, nan, 0.005655928599325917, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0034903439907606392, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.00844232845436364, nan, nan, nan, nan, nan, nan, 0.01320074435915329, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.005051550369920824, 0.0, 0.6872771282929853, nan, 0.0, 0.0, 0.030031413612565446, nan, 0.0, nan, 0.0, 0.0, 0.6181664401944875, 0.8773701422955155, nan, 0.0, nan, nan, nan, 0.0, 0.3163954075195559, 0.0, nan, nan, 0.31792888432850547, nan, 0.0, 0.6971349344449924, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, nan, 0.7611690942783896, 0.0, nan, 0.9478164555155266, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, 0.0, 0.0] |
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- | 2.1906 | 6.0 | 480 | 2.3328 | 0.0587 | 0.1268 | 0.5602 | [0.8563073991873295, nan, nan, 0.0, 0.0, 0.0, nan, nan, 0.0, 0.0, 2.19213316478265e-05, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.060351915803321825, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.05617970885982413, 0.0, 0.124785576220928, 0.0, 0.0, 0.0, 0.03335276939479032, nan, 0.0, nan, 0.0, 0.0, 0.32620170454128217, 0.44688090372826467, nan, 0.0, nan, nan, nan, 0.0, 0.18195546266723578, 8.85197027154304e-05, nan, nan, 0.07545221278932095, nan, 0.0, 0.3376120806034295, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, 0.021947300063838687, nan, 0.22329155497320788, 0.0, nan, 0.2513851395956649, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, 0.0, 0.0] | [0.9559147376453504, nan, nan, 0.0, 0.0, 0.0, nan, nan, 0.0, 0.0, 2.192886276917679e-05, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.08536869039311468, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.06667695686186466, 0.0, 0.7036240278007612, nan, 0.0, 0.0, 0.05726073298429319, nan, 0.0, nan, 0.0, 0.0, 0.6511448938219269, 0.8065094109870229, nan, 0.0, nan, nan, nan, 0.0, 0.32494848178988983, 8.866222882657314e-05, nan, nan, 0.31889971979951853, nan, 0.0, 0.6973458519049258, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, 0.022305747589323667, nan, 0.7494070994440657, 0.0, nan, 0.9022500585209333, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, 0.0, 0.0] |
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- | 1.9395 | 7.0 | 560 | 2.2389 | 0.0591 | 0.1255 | 0.5631 | [0.8553408384055669, nan, nan, 0.0019748886422280205, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0010034151322043446, nan, nan, nan, nan, nan, nan, 0.05505600252405742, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0053049196660488376, 0.0, 0.11696597721209215, 0.0, 0.0, 0.0, 0.03258392497151372, nan, 0.0, nan, 0.0, 0.0, 0.3234265230098715, 0.5490835482350331, nan, 0.0, nan, nan, nan, 0.0, 0.15755306465054889, 0.0, nan, nan, 0.09722746995211601, nan, 0.0, 0.340372682000853, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, 0.0029602542335988857, nan, 0.25951869245668496, 0.0, nan, 0.21768288684242576, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, 0.0, 0.0] | [0.9565761465795498, nan, nan, 0.001981744803344375, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0010088317020937683, nan, nan, nan, nan, nan, nan, 0.08118167015585019, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.005753154587965383, 0.0, 0.65848672747272, nan, 0.0, 0.0, 0.049826178010471206, nan, 0.0, nan, 0.0, 0.0, 0.7562221215679203, 0.8611488014473089, nan, 0.0, nan, nan, nan, 0.0, 0.20770775506770964, 0.0, nan, nan, 0.31075417340857964, nan, 0.0, 0.7029940974128492, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, 0.003042709801552677, nan, 0.7513082218744299, 0.0, nan, 0.928638717449515, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, 0.0, 0.0] |
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- | 1.8076 | 8.0 | 640 | 2.1895 | 0.0612 | 0.1305 | 0.5670 | [0.860214043811142, nan, nan, 2.8871277409668992e-05, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0004406373378454597, nan, nan, nan, nan, nan, nan, 0.07490476394298677, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.003236172862609459, 0.0006327961254356261, 0.12320151280620838, 0.0, 0.0, 0.0, 0.01131777504825408, nan, 0.0, nan, 0.0, 0.0, 0.340651675528023, 0.529166026886645, nan, 0.0, nan, nan, nan, 0.0, 0.24483128731468437, 0.0, nan, nan, 0.10137424943042343, nan, 0.0, 0.3347050139642504, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, nan, 0.26558039879738743, 0.0, nan, 0.22978660176039398, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, 0.0, 0.0] | [0.9563440510187473, nan, nan, 2.8930581070720805e-05, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.00044247004477796853, nan, nan, nan, nan, nan, nan, 0.10176785298906722, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.003518545153493463, 0.0006334746548335661, 0.7631451720188324, nan, 0.0, 0.0, 0.014588481675392671, nan, 0.0, nan, 0.0, 0.0, 0.7165887573053769, 0.8692725185262499, nan, 0.0, nan, nan, nan, 0.0, 0.38372655395743965, 0.0, nan, nan, 0.30835471013062865, nan, 0.0, 0.7412135818437288, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, nan, 0.7378947469490825, 0.0, nan, 0.9270914810649097, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, 0.0, 0.0] |
62
- | 2.3368 | 9.0 | 720 | 2.1988 | 0.0621 | 0.1314 | 0.5652 | [0.8647377404059944, nan, nan, 0.0011653334867928872, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0015491321339295146, nan, nan, nan, nan, nan, nan, 0.07849829351535836, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.010513973534679363, 0.00034913072628460024, 0.12262522613043657, 0.0, 0.0, 0.0, 0.04710664826247213, nan, 0.0, nan, 0.0, 0.0, 0.31895007304664047, 0.5404271488054716, nan, 0.0, nan, nan, nan, 0.0, 0.23359822649073228, 0.0, nan, nan, 0.10714197755527036, nan, 0.0, 0.34226279324327685, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, nan, 0.2693188199213857, 0.0, nan, 0.2265635772815212, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, 0.0, 0.0] | [0.9474789729454364, nan, nan, 0.0011716885333641926, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0015574945576184492, nan, nan, nan, nan, nan, nan, 0.10031402651779484, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.0114501808384872, 0.0003491835902253316, 0.7381251358726513, nan, 0.0, 0.0, 0.06503874345549739, nan, 0.0, nan, 0.0, 0.0, 0.7693311228475982, 0.8906951257697526, nan, 0.0, nan, nan, nan, 0.0, 0.34676486668348894, 0.0, nan, nan, 0.3090335056632069, nan, 0.0, 0.6827739368054069, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, nan, 0.778259992894795, 0.0, nan, 0.9286958110430429, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, 0.0, 0.0] |
63
- | 2.0449 | 10.0 | 800 | 2.1448 | 0.0621 | 0.1311 | 0.5694 | [0.8550481300418534, nan, nan, 0.00042917840946481454, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0035255958256945425, nan, nan, nan, nan, nan, nan, 0.08070337095907242, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.020468047313137273, 5.248209434428254e-05, 0.12350529313396912, 0.0, 0.0, 0.0, 0.028395380544193886, nan, 0.0, nan, 0.0, 0.0, 0.34013970948047384, 0.5335314841565946, nan, 0.0, nan, nan, nan, 0.0, 0.24678400688049507, 0.0, nan, nan, 0.09716825750577932, nan, 0.0, 0.34354803972275194, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, nan, 0.26491336095252754, 0.0, nan, 0.22881287680871717, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, 0.0, 0.0] | [0.9610622705202703, nan, nan, 0.00043395871606081207, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0035397603582237483, nan, nan, nan, nan, nan, nan, 0.12223772970458247, nan, nan, nan, 0.0, nan, nan, 0.0, nan, 0.022879313550433066, 5.2532044547173775e-05, 0.6872901071731026, nan, 0.0, 0.0, 0.04283141361256545, nan, 0.0, nan, 0.0, 0.0, 0.7590761107764111, 0.8930522214104304, nan, 0.0, nan, nan, nan, 0.0, 0.38615526957691987, 0.0, nan, nan, 0.313848218161727, nan, 0.0, 0.677832885133731, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, nan, 0.7600937118935371, 0.0, nan, 0.924590781668389, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, nan, 0.0, 0.0, 0.0] |
64
 
65
 
66
  ### Framework versions
 
1
  ---
2
  license: other
3
+ base_model: nvidia/mit-b1
4
  tags:
5
  - generated_from_trainer
6
  model-index:
 
13
 
14
  # segformer-b0-finetuned
15
 
16
+ This model is a fine-tuned version of [nvidia/mit-b1](https://huggingface.co/nvidia/mit-b1) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 1.8773
19
+ - Mean Iou: 0.0964
20
+ - Mean Accuracy: 0.1815
21
+ - Overall Accuracy: 0.6354
22
+ - Per Category Iou: [0.8709973734658337, nan, nan, 0.0, nan, nan, nan, nan, 0.15161288348439136, 0.0, 0.0, nan, 0.0, 0.0, 0.006957040846784377, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, 0.22656990441116737, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.22896159518731865, 0.0, 0.20480095108477073, 0.0, 0.0, nan, 0.01860223923628908, nan, 0.0, 0.0, nan, nan, 0.3478849385568743, 0.8001752473766323, nan, 0.0, nan, nan, nan, 0.0, 0.5213144145067103, 0.00020164913926503273, nan, nan, 0.3642463325249845, nan, 0.0, 0.11512223447630505, nan, nan, 0.0, nan, nan, nan, 0.0021824331272781287, nan, 0.0, nan, 0.35073249986231203, 0.0, nan, 0.1010882373946579, 0.0, 0.0, nan, 0.0, nan, 0.0, 0.0, 0.0, 0.02502361805571557, nan, nan, nan, nan, 0.0, nan, nan]
23
+ - Per Category Accuracy: [0.9742580262216608, nan, nan, 0.0, nan, nan, nan, nan, 0.24609607819763976, 0.0, 0.0, nan, 0.0, 0.0, 0.006957040846784377, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, 0.3616494013572118, nan, nan, nan, nan, nan, nan, nan, nan, 0.37126401890244404, 0.0, 0.6771064920697395, 0.0, 0.0, nan, 0.02150779081584229, nan, 0.0, 0.0, nan, nan, 0.6814244292575043, 0.970753714122741, nan, 0.0, nan, nan, nan, 0.0, 0.6360289981876133, 0.00033384135278322085, nan, nan, 0.4988866464599826, nan, 0.0, 0.785438428980633, nan, nan, 0.0, nan, nan, nan, 0.002212825117302902, nan, 0.0, nan, 0.5717877204698119, 0.0, nan, 0.7865863188788358, 0.0, 0.0, nan, 0.0, nan, 0.0, 0.0, 0.0, 0.3926720501386043, nan, nan, nan, nan, 0.0, nan, nan]
24
 
25
  ## Model description
26
 
 
49
 
50
  ### Training results
51
 
52
+ | Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Per Category Iou | Per Category Accuracy |
53
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
54
+ | 3.4529 | 1.0 | 80 | 3.2954 | 0.0194 | 0.0648 | 0.5477 | [0.8500480777686724, 0.0, nan, 0.0, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, 0.0, 0.0023609758700262776, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, nan, 0.0020040797337436927, 0.0, 0.061335048095556885, 0.0023114869626497535, 0.0, 0.0, 0.0028841600136464535, nan, 0.0, 0.0, 0.0, nan, 0.22441085504152225, 0.00022038424641551506, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 4.9971890811418574e-05, 0.0006399154198749382, nan, nan, 7.446626305952089e-06, nan, 0.0, 0.0036773444818859326, nan, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, nan, 0.05987484315518598, 0.0, nan, 0.027129730519641078, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.005170356622033674, nan, 0.0, nan, nan, 0.0, 0.0, nan] | [0.918769181021595, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, 0.002550175054389327, nan, nan, nan, nan, nan, nan, nan, nan, 0.002067454815446841, 0.0, 0.07406895231206187, 0.007655681075529829, 0.0, nan, 0.002974654095184301, nan, 0.0, 0.0, nan, nan, 0.8530991430022566, 0.00022038424641551506, nan, 0.0, nan, nan, nan, 0.0, 4.999687519530029e-05, 0.0006676827055664417, nan, nan, 7.447180869681782e-06, nan, 0.0, 0.0037479870601815563, nan, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, 0.12639240399777776, 0.0, nan, 0.8479238664189084, 0.0, 0.0, nan, 0.0, nan, 0.0, 0.0, 0.0, 0.00940098830902736, nan, nan, nan, nan, 0.0, nan, nan] |
55
+ | 2.9976 | 2.0 | 160 | 2.7537 | 0.0484 | 0.0996 | 0.5742 | [0.86150909322172, nan, nan, 0.0, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 3.378013187763485e-05, nan, 0.0, nan, nan, nan, nan, 0.065793561053194, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.001485440263504186, 0.0, 0.07084658168133046, 0.0, 0.0, nan, 0.08034025173051057, nan, 0.0, 0.0, 0.0, nan, 0.2083447468877669, 0.8302131841902043, nan, 0.0, nan, 0.0, nan, 0.0, 0.009454302033435629, 0.0016759507929857338, nan, nan, 7.320322679823727e-06, nan, 0.0, 0.05253339838425002, nan, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, 0.1567190068529707, 0.0, nan, 0.06848624979009778, 0.0, 0.0, nan, 0.0, nan, 0.0, 0.0, 0.0, 0.01377878988786717, nan, nan, nan, nan, 0.0, 0.0, 0.0] | [0.9338207229228758, nan, nan, 0.0, nan, nan, nan, nan, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 3.378013187763485e-05, nan, 0.0, nan, nan, nan, nan, 0.07628913510164681, nan, nan, nan, nan, nan, nan, nan, nan, 0.0015095701827072172, 0.0, 0.09617102981692853, 0.0, 0.0, nan, 0.13605859489841035, nan, 0.0, 0.0, nan, nan, 0.8674681599300516, 0.9198449532007571, nan, 0.0, nan, nan, nan, 0.0, 0.013592900443722267, 0.0017708106538936062, nan, nan, 7.447180869681782e-06, nan, 0.0, 0.15651764974134613, nan, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, 0.3295585272644628, 0.0, nan, 0.7366062900508831, 0.0, 0.0, nan, 0.0, nan, 0.0, 0.0, 0.0, 0.11522236953115583, nan, nan, nan, nan, 0.0, nan, nan] |
56
+ | 2.4258 | 3.0 | 240 | 2.4463 | 0.0482 | 0.1236 | 0.5877 | [0.868393700664814, nan, nan, 0.0, nan, 0.0, nan, nan, 5.784470624530012e-05, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, 0.13772495602363446, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0321382424098885, 0.00025861400136203375, 0.18367848166089243, 0.0, 0.0, nan, 0.029990153534659374, nan, 0.0, 0.0, nan, nan, 0.29257954577999257, 0.43549371844546203, nan, 0.0, nan, nan, nan, 0.0, 0.04761825597375537, 0.001289435994449625, nan, nan, 0.0035611510791366905, nan, 0.0, 0.07598198725480347, nan, nan, 0.0, 0.0, nan, nan, 0.0, nan, 0.0, nan, 0.05348024616227849, 0.0, nan, 0.06683699335210364, 0.0, 0.0, nan, 0.0, nan, 0.0, 0.0, 0.0, 0.03726523398140042, nan, nan, nan, nan, 0.0, nan, nan] | [0.9471222100080544, nan, nan, 0.0, nan, nan, nan, nan, 5.960185957801883e-05, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, 0.17597648652153242, nan, nan, nan, nan, nan, nan, nan, nan, 0.04397443575712329, 0.00026051616937024555, 0.5608624889635878, 0.0, 0.0, nan, 0.03758018255348011, nan, 0.0, 0.0, nan, nan, 0.7487472917456909, 0.9616790686821022, nan, 0.0, nan, nan, nan, 0.0, 0.05370289356915193, 0.0020973945859641486, nan, nan, 0.003686354530492482, nan, 0.0, 0.7437260406720725, nan, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, 0.07446730901969147, 0.0, nan, 0.810482260389351, 0.0, 0.0, nan, 0.0, nan, 0.0, 0.0, 0.0, 0.2719055080149452, nan, nan, nan, nan, 0.0, nan, nan] |
57
+ | 2.087 | 4.0 | 320 | 2.2565 | 0.0555 | 0.1480 | 0.5947 | [0.8742114109794139, nan, nan, 0.0, nan, 0.0, nan, nan, 0.0779080051311879, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.005624490146408484, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, 0.17876297133463476, nan, nan, nan, nan, nan, nan, nan, nan, 0.050276548834512824, 0.0, 0.1905194476109426, 0.0, 0.0, nan, 0.013199289791075099, nan, 0.0, 0.0, nan, nan, 0.3573728195081561, 0.252501074286942, nan, 0.0, nan, nan, nan, 0.0, 0.15476617406653595, 0.013559702209927048, nan, nan, 0.04121606860014201, nan, 0.0, 0.06859761541055806, nan, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, 0.02018972324467806, 0.0, nan, 0.07724640986223517, 0.0, 0.0, nan, 0.0, nan, 0.0, 0.0, 0.0, 0.1228047876284292, nan, nan, nan, nan, 0.0, nan, nan] | [0.9488838924821839, nan, nan, 0.0, nan, nan, nan, nan, 0.0971311638256447, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0061702227874334695, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, 0.2506807670696039, nan, nan, nan, nan, nan, nan, nan, nan, 0.07043703697626529, 0.0, 0.7418117799738317, 0.0, 0.0, nan, 0.013956567735304399, nan, 0.0, 0.0, nan, nan, 0.6504220697813466, 0.9750447250382431, nan, 0.0, nan, nan, nan, 0.0, 0.4153490406849572, 0.018426591189491255, nan, nan, 0.044958630910268915, nan, 0.0, 0.7391515013324593, nan, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, 0.023731895240714035, 0.0, nan, 0.8176545160898182, 0.0, 0.0, nan, 0.0, nan, 0.0, 0.0, 0.0, 0.698686272146559, nan, nan, nan, nan, 0.0, nan, nan] |
58
+ | 2.4856 | 5.0 | 400 | 2.1588 | 0.0652 | 0.1577 | 0.6024 | [0.874319428979826, nan, nan, 0.0, nan, 0.0, nan, nan, 0.09039934673562235, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, 0.19544683942843302, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.07050120296288812, 0.0, 0.18984777753037013, 0.0, 0.0, nan, 0.0342475472512626, nan, 0.0, 0.0, nan, nan, 0.29901325816259955, 0.4907418190287644, nan, 0.0, nan, nan, nan, 0.0, 0.19211257075723592, 0.0017249876786594382, nan, nan, 0.23202875667685693, nan, 0.0, 0.09536114518053058, nan, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, 0.05802955580080011, 0.0, nan, 0.0899768214425729, 0.0, 0.0, nan, 0.0, nan, 0.0, 0.0, 0.0, 0.08718462471329519, nan, nan, nan, nan, 0.0, nan, nan] | [0.9469548086456621, nan, nan, 0.0, nan, nan, nan, nan, 0.11546866928914849, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, nan, 0.2674225942628265, nan, nan, nan, nan, nan, nan, nan, nan, 0.09159563209149307, 0.0, 0.655280989713532, 0.0, 0.0, nan, 0.039668227684885746, nan, 0.0, 0.0, nan, nan, 0.7631150228554162, 0.9833285799476263, nan, 0.0, nan, nan, nan, 0.0, 0.224829698143866, 0.002946512809347558, nan, nan, 0.25718094415359066, nan, 0.0, 0.8088526599307406, nan, nan, 0.0, nan, nan, nan, 0.0, nan, 0.0, nan, 0.07553914443964332, 0.0, nan, 0.9087404268620947, 0.0, 0.0, nan, 0.0, nan, 0.0, 0.0, 0.0, 0.7971555984090635, nan, nan, nan, nan, 0.0, nan, nan] |
59
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