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# segformer-b3-finetuned-segments-sidewalk

This model is a fine-tuned version of [nvidia/mit-b3](https://huggingface.co/nvidia/mit-b3) on the [`sidewalk-semantic`](https://huggingface.co/datasets/segments/sidewalk-semantic) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8527
- Miou: 0.4345
- Macc: 0.5079
- Overall Accuracy: 0.8871
- Per Category Iou: [nan, 0.8382620833593052, 0.8876413942052827, 0.6261839847460975, 0.6590417473673477, 0.48228357004057837, 0.0, 0.6202905105623743, 0.748344409080285, 0.39096811362981676, 0.8848513296576286, 0.2415092028297553, 0.0, 0.07068982339740462, 0.41356382978723405, 0.6474134903246308, 0.0, 0.3062052505966587, 0.7704161510118073, 0.16108765491481541, 0.49752934863906867, 0.4734664813860761, 0.09820294554789893, nan, 0.17153699720635862, 0.514555863370054, 0.4660696051735875, 0.08826901031715705, 0.8991007829081079, 0.829742650939299, 0.9612781430019607, 0.01112666737555973, 0.1861992251927429, 0.391388886866003, 0.0]
- Per Category Accuracy: [nan, 0.9255583122183136, 0.9555184973850358, 0.8927561553139153, 0.7130378697969978, 0.6275811980710011, 0.0, 0.7474676455043131, 0.8545937449541465, 0.43523520560447965, 0.9672661630501664, 0.28627436744473084, 0.0, 0.0707036205718747, 0.47675012774655084, 0.7689381524189783, 0.0, 0.31600985221674877, 0.9278457312029238, 0.2055231456928555, 0.6363063556709445, 0.5255962863991213, 0.10240946878962942, nan, 0.30514996921453075, 0.6575213496395762, 0.6054551483999336, 0.08830275229357798, 0.9550074747938649, 0.8984159398975186, 0.9823971352874257, 0.013025497748978224, 0.3256981066248004, 0.49491941043060034, 0.0]

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 200

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Miou   | Macc   | Overall Accuracy | Per Category Iou                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       | Per Category Accuracy                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:----------------:|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
| 0.4111        | 5.0   | 250   | 0.5342          | 0.3203 | 0.3895 | 0.8534           | [nan, 0.7411544992329885, 0.8587185188919024, 0.5322704558305212, 0.6145803724062279, 0.4207354824823325, 0.0, 0.4207652960849892, 0.6330214639515686, 0.0, 0.8090628889518269, 0.0, 0.0, 0.0, 0.0, 0.5525831345173927, 0.0, 0.0, 0.7449180731329554, 0.0, 0.39030048997684846, 0.5341813036240857, 0.0, nan, 0.0, 0.33603046089798805, 0.0, 0.0, 0.8611153164212525, 0.7580460497843906, 0.9307216449484303, 0.0, 0.12255543837545918, 0.30973651706611804, 0.0]                                                                                                                                                                                                      | [nan, 0.865566426722594, 0.9394823497202754, 0.7339862219054845, 0.6960293899277608, 0.579233048631689, 0.0, 0.5226808772686938, 0.8148925583341846, 0.0, 0.954498711658196, 0.0, 0.0, 0.0, 0.0, 0.7453393323599813, 0.0, 0.0, 0.8609332075296946, 0.0, 0.5752897519263941, 0.6257335170644275, 0.0, nan, 0.0, 0.48320796165623753, 0.0, 0.0, 0.9563707209678979, 0.8591391181347248, 0.9690236728180618, 0.0, 0.23234437690377469, 0.43908949309871237, 0.0]                                                                                                                                                                                                                   |
| 0.2527        | 10.0  | 500   | 0.5899          | 0.3521 | 0.4258 | 0.8567           | [nan, 0.7536144931874272, 0.8666514611419747, 0.5791278186302583, 0.5507597043116981, 0.38697553330878387, 0.0, 0.49981379939131665, 0.6547462641660816, 0.006951340615690168, 0.8411064971463371, 0.21915505349651998, 0.0, 0.0, 0.0, 0.5704538365564567, 0.0, 0.0, 0.7601855085224487, 0.12506138175041864, 0.39942757047955846, 0.4668252406895441, 0.0, nan, 0.1030902538148915, 0.3805134719351324, 0.3639179515418502, 0.0, 0.8767798800448732, 0.7800121144818535, 0.9401348565379605, 0.00018008110081004338, 0.16755112790045706, 0.3264804931974313, 0.0]                                                                                                    | [nan, 0.90406121258153, 0.933431363952898, 0.7264726392177598, 0.5740020955021516, 0.6563755737609668, 0.0, 0.6039363626224962, 0.8605186066359769, 0.0072522755864722855, 0.9522222704681134, 0.25318546484190657, 0.0, 0.0, 0.0, 0.7265874080033372, 0.0, 0.0, 0.9034801649669348, 0.15050382604742785, 0.6282930136175867, 0.4977144779061467, 0.0, nan, 0.1478142316826458, 0.4757332103391217, 0.43831868678494446, 0.0, 0.9461766367056283, 0.8685344399584078, 0.9696726615409282, 0.00019363628190676414, 0.39697811413925904, 0.4314488757452496, 0.0]                                                                                                                 |
| 0.1643        | 15.0  | 750   | 0.5756          | 0.3745 | 0.4534 | 0.8670           | [nan, 0.7726733036696652, 0.8671375594955328, 0.6103086102682944, 0.6314757371793478, 0.4273275344315441, 0.0, 0.5317600409405491, 0.6720224116289428, 0.16158774132109774, 0.8523694222801956, 0.24038155802861685, 0.0, 0.0, 0.04680851063829787, 0.5899459811865512, 0.0, 0.0, 0.7737178234025645, 0.14913933159903917, 0.4521741438458425, 0.5380504294958312, 0.0, nan, 0.14005003894540563, 0.40247802412573747, 0.41014102702120786, 0.0, 0.8822285387940414, 0.7982006290565458, 0.9485248204807992, 0.0010217644126931384, 0.12182141082818915, 0.3359618308006764, 0.0]                                                                                      | [nan, 0.8685068344016257, 0.9339337963085826, 0.7830275791780654, 0.71311646057369, 0.6411881935971181, 0.0, 0.7043771304992945, 0.8750572549898341, 0.18416833172993907, 0.9605602195211583, 0.301884052709914, 0.0, 0.0, 0.047777210015329585, 0.7549536664580913, 0.0, 0.0, 0.9068618510561295, 0.22672929767406622, 0.5668210000093578, 0.6053490157566916, 0.0, nan, 0.26095083120767, 0.5263161648629628, 0.5264190570939037, 0.0, 0.9540034951620896, 0.8931918202171408, 0.9742561443961733, 0.0012759247861356422, 0.2862606175274747, 0.465761930571415, 0.0]                                                                                                         |
| 0.1302        | 20.0  | 1000  | 0.6021          | 0.3949 | 0.4802 | 0.8703           | [nan, 0.7801307689107726, 0.8786287731596124, 0.5996414476192669, 0.5791044393247451, 0.40685088294894184, 0.0, 0.5532316603013168, 0.7004119209771223, 0.3567117426846971, 0.8682022390275189, 0.4354632088736135, 0.0, 0.08566271525440265, 0.0, 0.592928092042186, 0.0, 0.07216748768472907, 0.7775334326155094, 0.16241710128130835, 0.46182139479806994, 0.562496456296332, 0.0, nan, 0.17592232145836345, 0.4180433534862313, 0.4040778498609824, 0.0, 0.8871669760617459, 0.8059650048666752, 0.9507085299921569, 0.0116151761673367, 0.16524860560484375, 0.34088472074456944, 0.0]                                                                            | [nan, 0.901160937374861, 0.9425971578567806, 0.7984110745840901, 0.6312022008440196, 0.6127889140665853, 0.0, 0.6839893129548904, 0.8679197408614445, 0.4606921729692395, 0.9554783385950772, 0.5059353105601336, 0.0, 0.08568361471650239, 0.0, 0.7677860214733371, 0.0, 0.07216748768472907, 0.9086920613558305, 0.26755814834457153, 0.6342091828512193, 0.6617058325161462, 0.0, nan, 0.347809833758466, 0.541995549384712, 0.5421986403581496, 0.0, 0.9485582664128994, 0.9007181197365832, 0.9752496697792675, 0.013976390204770367, 0.39040296284368586, 0.42825081431510703, 0.0]                                                                                       |
| 0.1124        | 25.0  | 1250  | 0.5783          | 0.4085 | 0.4818 | 0.8809           | [nan, 0.8123818380472958, 0.8869254012115516, 0.5989965500806077, 0.6513288286982387, 0.45923979621249245, 0.0, 0.551056327882726, 0.7019146834355392, 0.2950008215576734, 0.8706733575298916, 0.3601874581566615, 0.0, 0.10517468206402572, 0.08712413261372398, 0.6136850006388144, 0.0, 0.2600985221674877, 0.7849825834204975, 0.17919511788917702, 0.45289730566932423, 0.5903637402399543, 0.0, nan, 0.18690435558822757, 0.42362687815353783, 0.43259719089833193, 0.0, 0.8841707465292419, 0.8032936112469397, 0.952030831872504, 0.008140849441390317, 0.16554455213884192, 0.3617462711649899, 0.0]                                                          | [nan, 0.9178324592492587, 0.9561686622912909, 0.7680310658482571, 0.7215460770544782, 0.5924548254023589, 0.0, 0.6491584679315913, 0.8452550030151549, 0.35430079676361037, 0.9581720479074639, 0.410135404944277, 0.0, 0.10532350931980092, 0.11548288196218702, 0.763316547977315, 0.0, 0.2600985221674877, 0.9177799037685564, 0.22825214031366012, 0.572804752898559, 0.6994932257437348, 0.0, nan, 0.31308822235904654, 0.5407402476367994, 0.5353727961089925, 0.0, 0.9583768797437656, 0.8894811289823983, 0.976516152184038, 0.010158989218608448, 0.379761952685748, 0.458744875997832, 0.0]                                                                           |
| 0.1           | 30.0  | 1500  | 0.6125          | 0.4071 | 0.4817 | 0.8777           | [nan, 0.7976347312880722, 0.8842065126488408, 0.6220522211975981, 0.5992989007197456, 0.4754131699628208, 0.0, 0.5620206554196702, 0.7103054176260091, 0.3001608040201005, 0.8696414262339918, 0.2710134279595442, 0.0, 0.10693402202514375, 0.19945219123505975, 0.6229581109493774, 0.0, 0.21330049261083744, 0.7784639440974739, 0.1842071699891868, 0.4662422580117327, 0.5517361225824782, 0.001549819657348963, nan, 0.17199259716224552, 0.43358794468966694, 0.4268464617063853, 0.0, 0.8891718707035294, 0.8054920070330026, 0.9535609872146814, 0.01007383935063937, 0.16253665133576994, 0.3658318614584579, 0.0]                                           | [nan, 0.8697241860632949, 0.9524319715036934, 0.8257718568242948, 0.7468530628299254, 0.5881267793852769, 0.0, 0.7164141181490659, 0.8437754352203041, 0.3683613310639138, 0.9597225061081064, 0.31468036446800013, 0.0, 0.10708012101102762, 0.20464997445068983, 0.7651242017023728, 0.0, 0.21330049261083744, 0.9302847679052355, 0.2516781574361694, 0.5984553495582629, 0.5925001383659759, 0.0015499506833873467, nan, 0.27588178379804734, 0.5562888715598076, 0.518736527938982, 0.0, 0.9534904946715259, 0.896063924459724, 0.9793106212730868, 0.011784150870325931, 0.3741529460703407, 0.47874361308587277, 0.0]                                                    |
| 0.0886        | 35.0  | 1750  | 0.6327          | 0.4115 | 0.4892 | 0.8822           | [nan, 0.8188467619727383, 0.8891141466002311, 0.6466411212625193, 0.6192450697021801, 0.4878651026475247, 0.0, 0.5804609572704323, 0.6873373994573425, 0.24242875689020368, 0.8707606811583432, 0.23605331403413546, 0.0, 0.13050222997866978, 0.2175902389425521, 0.6145514015738078, 0.0, 0.21711822660098523, 0.7803908730722577, 0.17679611946673174, 0.4549480658658346, 0.5467616324171395, 0.03352848701685911, nan, 0.19210202055245182, 0.44554925412112634, 0.43457869634340224, 0.06254767353165523, 0.8901464405497997, 0.8074494955970959, 0.9551576666105007, 0.009091384084852917, 0.16846681832699967, 0.3645371672657186, 0.0]                        | [nan, 0.9119479474792671, 0.9590241346815159, 0.845415986574404, 0.6953594791245139, 0.6061356109464877, 0.0, 0.7276180593606199, 0.892360619111798, 0.28098867756974766, 0.9616378091517278, 0.2841688750136131, 0.0, 0.1313555186883966, 0.21870209504343383, 0.7725733241957431, 0.0, 0.21711822660098523, 0.9161171536509721, 0.21953178271081142, 0.5994171169644333, 0.6121438495259369, 0.034859799915457235, nan, 0.3531093323951095, 0.6003076440268559, 0.6043221135245676, 0.06269113149847094, 0.9560401237295135, 0.884834427780536, 0.9792357012514029, 0.010829800623785451, 0.34680568415120167, 0.46030641401411304, 0.0]                                      |
| 0.0795        | 40.0  | 2000  | 0.6240          | 0.4282 | 0.5017 | 0.8835           | [nan, 0.8168639361241289, 0.8876591799999074, 0.6570827724213207, 0.6202745367509233, 0.48734716072991435, 0.0, 0.5833200793037147, 0.7249773695346732, 0.31780959887896304, 0.8734250949568915, 0.2279957413675295, 0.0, 0.19478847928505513, 0.2588001983143282, 0.6266940289672047, 0.0, 0.3150246305418719, 0.7870743183835168, 0.18024107181885737, 0.48180217328687497, 0.5880553963585522, 0.042404523149135905, nan, 0.17844859516376527, 0.45068592007174485, 0.44004742517113327, 0.19134396355353075, 0.892022331516544, 0.8143712718909341, 0.9551036492731949, 0.016888403579096854, 0.15958069694966476, 0.36017381107545093, 0.0]                       | [nan, 0.8991722677575189, 0.9610711923215693, 0.8649585814233277, 0.7118098889111815, 0.594659810586253, 0.0, 0.7184642464033051, 0.8603538440753031, 0.3580502725770246, 0.9623214298952487, 0.26042763277307873, 0.0, 0.1956914218795745, 0.26673479816044965, 0.788603835801476, 0.0, 0.3150246305418719, 0.9230146256606502, 0.2499204485188272, 0.6278490409879275, 0.6625473814771242, 0.04480766521065239, nan, 0.29663998592664265, 0.6117266104950834, 0.5436080252031172, 0.1926605504587156, 0.9509771523653007, 0.887874399303051, 0.9819309132416605, 0.02064301076756039, 0.34012318344672116, 0.46386756263254, 0.0]                                             |
| 0.0754        | 45.0  | 2250  | 0.6471          | 0.4302 | 0.5116 | 0.8840           | [nan, 0.8281984303346407, 0.8897375767546668, 0.6335678497580041, 0.6461049225195123, 0.4896718508137295, 0.0, 0.5769963172973805, 0.7160045601555046, 0.31492773499314275, 0.8789298786291031, 0.41197707824430413, 0.0, 0.19778300628229073, 0.19288119288119288, 0.6158351667955045, 0.0, 0.26785714285714285, 0.7860686941589031, 0.17655380387956127, 0.40860437517167547, 0.5549189258475934, 0.060120717954148355, nan, 0.1768935762224353, 0.45137771772158236, 0.44662611174687306, 0.24400299850074963, 0.8917308479385957, 0.8178316117483762, 0.9546822647246874, 0.0181622066651208, 0.17782411648425822, 0.3692233084050129, 0.0]                        | [nan, 0.9127907293988842, 0.9579732772469148, 0.8546614098408393, 0.7189306666878257, 0.617758410318982, 0.0, 0.7117038660531152, 0.8630197023070054, 0.3681886578356644, 0.9609314187010253, 0.48673176752459435, 0.0, 0.19893627403142383, 0.2049054675523761, 0.8228995957609527, 0.0, 0.26785714285714285, 0.9313026975574736, 0.22976740662171377, 0.482567055983181, 0.7372479787923986, 0.06399887276313936, nan, 0.30833846424487643, 0.6003932327823953, 0.6147681423755044, 0.24885321100917432, 0.947219534571164, 0.890392783205778, 0.9840024279813396, 0.0241042593066438, 0.3959314574024127, 0.47575603698227187, 0.0]                                          |
| 0.0746        | 50.0  | 2500  | 0.6936          | 0.4117 | 0.4867 | 0.8749           | [nan, 0.7957936899551392, 0.8814366206724774, 0.5436114176098814, 0.6151632247714599, 0.4361122655202057, 0.0, 0.5671206613898421, 0.7141211613500584, 0.3419340943355589, 0.870823541579283, 0.1755482015278508, 0.0, 0.14690036810414178, 0.3004324599338591, 0.6098619199234538, 0.0, 0.16824615384615385, 0.7756330550603614, 0.17781881780267358, 0.4502871856554716, 0.45687245610992666, 0.06802365130029826, nan, 0.19639260088210125, 0.4534812252031405, 0.42577189666036547, 0.27414561664190196, 0.8856918914231561, 0.8034178358523514, 0.9553431034562543, 0.003146721773436032, 0.12501083138368427, 0.36698838817524204, 0.0]                          | [nan, 0.9180616367888037, 0.9472426408781908, 0.8013172716614175, 0.7302314913997886, 0.524968334204869, 0.0, 0.7028351702702309, 0.8539511709675187, 0.39162288166950343, 0.9630569443900208, 0.20604784550041746, 0.0, 0.14701863960183467, 0.30173735309146654, 0.7343444275597668, 0.0, 0.16834975369458127, 0.9160513108532854, 0.22030456852791877, 0.6251207408000449, 0.5084687072928094, 0.0732703959419473, nan, 0.3280191749494239, 0.6051695608345855, 0.5601890233792074, 0.28211009174311924, 0.9506023739291599, 0.8749006566683216, 0.9851772884487643, 0.003475079702076749, 0.25166727050709176, 0.48520419707741125, 0.0]                                    |
| 0.067         | 55.0  | 2750  | 0.6778          | 0.4277 | 0.5121 | 0.8816           | [nan, 0.8194645919335458, 0.8855287302003849, 0.6053350056000855, 0.654773528870809, 0.4697667824136534, 0.0, 0.5710052174119353, 0.7267313389676074, 0.3551371282700238, 0.8755668722529796, 0.19964417520695182, 0.0, 0.13208006623484148, 0.3486218302094818, 0.6180969846096706, 0.0, 0.20360432519022828, 0.7807972584967618, 0.18003748362164762, 0.4432680689367132, 0.45560830868332836, 0.08040790777737207, nan, 0.1822721323375752, 0.45364137665335047, 0.45602216206006424, 0.36234396671289876, 0.8940119674114063, 0.8166972645181432, 0.9573128637395036, 0.03034622884202592, 0.18678678678678678, 0.3686953575810984, 0.0]                           | [nan, 0.9128102675762187, 0.9552788883754972, 0.8469619991264167, 0.7317413411289339, 0.5563598861193423, 0.0, 0.746876075856685, 0.8778384470140081, 0.40151459088778707, 0.9621413903500922, 0.24645151922169384, 0.0, 0.13233141407241145, 0.4039345937659683, 0.7933911385238819, 0.0, 0.31305418719211825, 0.9172193620842494, 0.246723236608834, 0.6190652452610861, 0.49203224849677785, 0.08688178103423982, nan, 0.36441199753716247, 0.5990761169332598, 0.6004808489471066, 0.39946483180428133, 0.9529255570362644, 0.9017875242386488, 0.9826782046681377, 0.03842297079549934, 0.3380298699730285, 0.48104842741150405, 0.0]                                      |
| 0.0687        | 60.0  | 3000  | 0.6879          | 0.4291 | 0.5100 | 0.8823           | [nan, 0.8196948326057852, 0.8831657666830767, 0.6467890499563872, 0.6516417841503617, 0.4681981224281317, 0.0, 0.5880231738461575, 0.724187852815783, 0.2984189272432753, 0.8789400109991544, 0.2520251481078467, 0.013058335367341958, 0.10452562571588721, 0.3387726959319697, 0.616015263989506, 0.0, 0.29198813056379824, 0.784720416853429, 0.1792090810910177, 0.44576935641947074, 0.48202529113784476, 0.09516336506303061, nan, 0.18832282614869086, 0.45650264775637484, 0.4556005895357406, 0.2745886654478976, 0.8952007693743541, 0.8138636450290234, 0.9572388978933325, 0.010588595444700982, 0.1924104882672224, 0.35264721130282095, 0.0]             | [nan, 0.9097946995213146, 0.9621478252989295, 0.8651175889100899, 0.7142492257108215, 0.566678868165708, 0.0, 0.7143145307931398, 0.867036613536233, 0.32265226078590986, 0.9605385088701248, 0.3026826877699931, 0.020373191165270373, 0.10464038255099053, 0.3765968318855391, 0.820913163096054, 0.0, 0.30295566502463056, 0.9221738131341896, 0.23635123873020683, 0.6270817065600855, 0.5335377838453821, 0.1042412286881781, nan, 0.364565924883455, 0.6191561899689979, 0.615072127342066, 0.2870795107033639, 0.9511700815454721, 0.8878140719993255, 0.9816183488199858, 0.012797283559588108, 0.43857601009084446, 0.4393736482895436, 0.0]                           |
| 0.0629        | 65.0  | 3250  | 0.6960          | 0.4222 | 0.4985 | 0.8831           | [nan, 0.8385937711298211, 0.8847888472425782, 0.6149328797554199, 0.6525561252288588, 0.48169461209819614, 0.0, 0.5971548536892575, 0.7135824408049566, 0.27369317672375143, 0.8823153606699299, 0.36233237512950345, 0.0, 0.14186935456382538, 0.24867603039373704, 0.6160654277501113, 0.0, 0.08275862068965517, 0.7805731162375585, 0.17752144045477705, 0.44269702931252913, 0.48059292296084216, 0.08923905090414969, nan, 0.17907819011708673, 0.4873286783174559, 0.4527498618417013, 0.22163588390501318, 0.8943575787945166, 0.8201429759960558, 0.9581956395009911, 0.019349515805194163, 0.1776665799886147, 0.3600628431614535, 0.0]                       | [nan, 0.9267115927398949, 0.9487909172436692, 0.8034188525406715, 0.7109193193887602, 0.6603282784265877, 0.0, 0.725064612012743, 0.8812655082760235, 0.3011914452749204, 0.9638660632870772, 0.45070243583693326, 0.0, 0.14216356006636088, 0.27593254982115484, 0.7556489178908058, 0.0, 0.08275862068965517, 0.9325111323710189, 0.2190847791499356, 0.625637495828009, 0.527886775476724, 0.09623784697759617, nan, 0.31748614653883367, 0.6121141373604427, 0.6112861327585254, 0.22477064220183487, 0.9484829229283243, 0.8975837228691066, 0.9804554182923197, 0.025625687235911233, 0.3392241321471224, 0.46249546141014647, 0.0]                                       |
| 0.0629        | 70.0  | 3500  | 0.7101          | 0.4217 | 0.4989 | 0.8789           | [nan, 0.786640982710835, 0.8880498247990368, 0.6213814597589751, 0.6071277471550605, 0.4592909171926279, 0.0, 0.5867507688789444, 0.7333167906428527, 0.3791430524621254, 0.8814043667546686, 0.28100956352915796, 0.0, 0.0984556925025576, 0.3509064388414253, 0.6349712777519019, 0.0, 0.0, 0.7875471953847744, 0.1780650489932298, 0.4450250049891278, 0.4999114269705531, 0.08133596346637123, nan, 0.18414185986147352, 0.4677542129328365, 0.45241313162139773, 0.28850405305821664, 0.8909480603280158, 0.8200828649597152, 0.9579545152813692, 0.007145844060159359, 0.17539286131557424, 0.37038789587688453, 0.0]                                            | [nan, 0.8598412127047438, 0.9543510233299178, 0.8082120661777665, 0.7612604902628672, 0.5904985183894021, 0.0, 0.7265619620716575, 0.8569696210790629, 0.424110116184415, 0.9631369031291932, 0.35466656986241696, 0.0, 0.09861422855469894, 0.43025038323965253, 0.8124211634536118, 0.0, 0.0, 0.9232874343190659, 0.2156072429729525, 0.6237066827758375, 0.5406547619892345, 0.08482457376356208, nan, 0.2963981000967543, 0.6442741122544078, 0.57353672691096, 0.2993119266055046, 0.9601885858498842, 0.8969635881631085, 0.9813282126850572, 0.008685970359817705, 0.3223031815681065, 0.45102269558033437, 0.0]                                                         |
| 0.056         | 75.0  | 3750  | 0.6888          | 0.4319 | 0.5074 | 0.8864           | [nan, 0.846983759179929, 0.8871265021170364, 0.6327919532904038, 0.6690289787883766, 0.4809385638926465, 0.0, 0.5929931910773564, 0.7319858245513943, 0.3873577190849818, 0.8821459096044979, 0.31863963925997724, 0.0, 0.23505840639191783, 0.3168200047180939, 0.6339963432877168, 0.0, 0.0, 0.7891815340906951, 0.16853589090364154, 0.44962094152977145, 0.5116482092488317, 0.10324211857041271, nan, 0.19139417066912298, 0.46438574150773454, 0.4679743443307121, 0.26584176977877766, 0.893033114012553, 0.8167232339927487, 0.958758389465055, 0.00683255888015518, 0.17629150606516764, 0.37230474365117394, 0.0]                                            | [nan, 0.9383299434889024, 0.9547491546521122, 0.8273944994904098, 0.7246575916990003, 0.6112474580210331, 0.0, 0.7317551677487866, 0.879380624581915, 0.4323244283282765, 0.9640948194150409, 0.41171452426761534, 0.0, 0.23614228554698935, 0.34312723556463975, 0.7955762144552705, 0.0, 0.0, 0.9198500013278298, 0.21301613758618076, 0.6485306793405083, 0.5580917132262262, 0.11046921234324363, nan, 0.3198390359750198, 0.6043089183483272, 0.5887636102360029, 0.27102446483180426, 0.9532878705576775, 0.8931910708096411, 0.9816932688416696, 0.008160386166070774, 0.350442145377937, 0.47428658629635284, 0.0]                                                      |
| 0.0545        | 80.0  | 4000  | 0.7242          | 0.4313 | 0.5097 | 0.8839           | [nan, 0.8315018755718794, 0.8905184158955881, 0.5801625429382188, 0.6532970384376523, 0.4694179481073208, 0.0, 0.5983799840636467, 0.7235855215136249, 0.3640520350334879, 0.8784869607735561, 0.3143670199951819, 0.0, 0.2781527188584651, 0.3326551373346897, 0.6281559683282705, 0.0, 0.08645320197044334, 0.7821189057727206, 0.19111444811384393, 0.4452253857934852, 0.4994405348435919, 0.10157298545122671, nan, 0.17629709076283684, 0.46700401281623927, 0.4615519817207136, 0.2734785875281743, 0.8899163053914229, 0.8095455355998507, 0.9581430685733312, 0.005790762673569464, 0.17969789570113207, 0.36411010043900494, 0.0]                            | [nan, 0.9123876444791007, 0.9612296601404773, 0.8930262764661256, 0.7126551176008956, 0.5714955551682064, 0.0, 0.7523059093928652, 0.865652608026573, 0.41833789684007994, 0.9665973690927172, 0.37897048680437073, 0.0, 0.2815458182882795, 0.41773122125702605, 0.7517058490509818, 0.0, 0.08645320197044334, 0.9215057282136607, 0.24684445791347828, 0.6202401611194349, 0.5561602661167979, 0.10663660701704945, nan, 0.2891635148210045, 0.6095369648325313, 0.5805560161388382, 0.2782874617737003, 0.9568961863731891, 0.870963644368671, 0.9845664755331252, 0.007178373593543613, 0.36061350187190533, 0.46088130206223, 0.0]                                         |
| 0.05          | 85.0  | 4250  | 0.7236          | 0.4310 | 0.5096 | 0.8865           | [nan, 0.8344804679717858, 0.891480804753714, 0.6039392215856049, 0.6561901191296589, 0.5040396418009069, 0.0, 0.5972644983662688, 0.7352912849624103, 0.4166594809002328, 0.882374306124748, 0.291759692976696, 0.0, 0.11696789594193015, 0.4100259636508888, 0.6420473687097001, 0.0, 0.0, 0.7822126517859589, 0.18499892874997023, 0.45949977357159744, 0.5246592278602004, 0.10855595092676192, nan, 0.18756695799266987, 0.4678528011435098, 0.4557543571262987, 0.2325056433408578, 0.8913224348625648, 0.8136362687377343, 0.9598605495290813, 0.008994566889922168, 0.1923180020267399, 0.3698758474475382, 0.0]                                                | [nan, 0.9238238149259353, 0.9605341564359651, 0.8564066606895178, 0.714878329764632, 0.6240479925628958, 0.0, 0.7253836717079392, 0.8553615384868866, 0.47677545080046374, 0.96226053416674, 0.36290703161868804, 0.0, 0.11715624085098078, 0.5245273377618804, 0.8139308522789349, 0.0, 0.0, 0.9272880427065164, 0.23551026592923707, 0.5960753651336961, 0.5733261619548913, 0.11520360715795407, nan, 0.29259389568123845, 0.634985354812941, 0.5976344442602112, 0.23623853211009174, 0.9580478059949592, 0.8761671553428071, 0.9800020805814939, 0.011116797255897263, 0.39472377655220536, 0.470034782700211, 0.0]                                                        |
| 0.0483        | 90.0  | 4500  | 0.7448          | 0.4348 | 0.5119 | 0.8858           | [nan, 0.8389020217362697, 0.8904583684155554, 0.6053893552299984, 0.6609445788027536, 0.48826307798392343, 0.0, 0.5990805851530085, 0.741553407283815, 0.3904125924159313, 0.8810578364409596, 0.24072208997131173, 0.007595345830639948, 0.11408382066276804, 0.3854978354978355, 0.6358003169572107, 0.0, 0.3205665024630542, 0.7799325512458637, 0.18157179971658008, 0.44179222083868513, 0.4810432700260739, 0.10200241902970031, nan, 0.17958766620104505, 0.47953821940837715, 0.46267085062022195, 0.20652173913043478, 0.8936165310088457, 0.8196186094828226, 0.9601551959806593, 0.007783159441927215, 0.17946660884648744, 0.3712830781592127, 0.0]        | [nan, 0.9268645537858738, 0.9579552943101062, 0.8624259561522487, 0.7130170885820071, 0.6134222299692057, 0.0, 0.7456444472460493, 0.8743388902252963, 0.44418954586940973, 0.9629775151789223, 0.28632881983519076, 0.00894897182025895, 0.11422855469893628, 0.45503321410321923, 0.7969369208307261, 0.0, 0.3205665024630542, 0.9184567677287768, 0.2329797711947875, 0.6319321335328264, 0.5199750799329599, 0.10694659715372692, nan, 0.30532588618172224, 0.6374674287235863, 0.6071132482175426, 0.2106269113149847, 0.9560636685684433, 0.8940191660968048, 0.9818139998320264, 0.009301457113021348, 0.3331991465721992, 0.46443061088103893, 0.0]                     |
| 0.0488        | 95.0  | 4750  | 0.7572          | 0.4392 | 0.5164 | 0.8870           | [nan, 0.8412265993316759, 0.8902791647105773, 0.6166091899398941, 0.6573127590169391, 0.49795139519110443, 0.0, 0.6045930992650757, 0.740872213808363, 0.3893914038172305, 0.8838233368096821, 0.33872329970362863, 0.004128819157720892, 0.1232210193407128, 0.36835222319093286, 0.6420211202135859, 0.0, 0.2602216748768473, 0.7833929304386752, 0.17934607063412256, 0.4671484042901698, 0.5449281805918343, 0.09757754723390911, nan, 0.1862480907024973, 0.4739074459454693, 0.46393408427200666, 0.20655861289106672, 0.8908646555131348, 0.8077701092850268, 0.959734031170495, 0.015509419333207602, 0.19220623899538222, 0.36528917777672343, 0.0]           | [nan, 0.9329796512523355, 0.9594185059351048, 0.832704966397695, 0.7156041609282175, 0.6057294753355412, 0.0, 0.740442513492152, 0.8672541001163223, 0.4534398973827672, 0.964824509100999, 0.4003702762551276, 0.00476009139375476, 0.1235727530008783, 0.4317833418497701, 0.8025088644557671, 0.0, 0.2602216748768473, 0.9244890653768502, 0.22295628456701266, 0.6153075940114643, 0.6122502848919965, 0.10522756094124278, nan, 0.32980033424223765, 0.6388606234665348, 0.6146299673907036, 0.20948012232415902, 0.9577606974590687, 0.8682935054472558, 0.9823331908103197, 0.02047357902089197, 0.388175462608859, 0.4557849260933397, 0.0]                             |
| 0.0466        | 100.0 | 5000  | 0.7516          | 0.4340 | 0.5089 | 0.8868           | [nan, 0.8369914869418346, 0.8917253025027853, 0.63431934846412, 0.6595590976640465, 0.490185886416082, 0.0, 0.6019878455204862, 0.7389529158865543, 0.34824032232931906, 0.8841782288939659, 0.3149823779040495, 0.0, 0.1793690267212795, 0.3540386803185438, 0.6423088361774469, 0.0, 0.145935960591133, 0.7781632167836338, 0.18123317726357693, 0.45431638450718936, 0.5090139572607015, 0.10249373268241192, nan, 0.1875506294119916, 0.501633275054173, 0.45008636966215404, 0.17736422331940752, 0.8917030821290204, 0.8118398661365593, 0.9594706627009374, 0.014780075321537696, 0.20062550586608202, 0.37857391883524044, 0.0]                                | [nan, 0.9373271597386813, 0.9596797489625617, 0.8314003387051043, 0.7185675621858967, 0.5884759746673639, 0.0, 0.7444904015400207, 0.8778911710334237, 0.3858999975332396, 0.9637834569075349, 0.3974298471702908, 0.0, 0.17949155850492826, 0.397547266223812, 0.7936692390969677, 0.0, 0.145935960591133, 0.9165776142827953, 0.24282142586559588, 0.6377640831341348, 0.5628898195281933, 0.10945469916866281, nan, 0.3207406104318761, 0.6268758202255739, 0.6192450118830487, 0.17851681957186544, 0.9569449380396788, 0.8769881312587235, 0.9830475556030632, 0.01869973236699608, 0.34259221985158944, 0.47854628309223995, 0.0]                                         |
| 0.0681        | 105.0 | 5250  | 0.7608          | 0.4243 | 0.4961 | 0.8801           | [nan, 0.8053305712022708, 0.8888831373349202, 0.6063781727951514, 0.6458484552441548, 0.4450952774354321, 0.0, 0.5835976764940738, 0.7449298281412959, 0.38801677910396126, 0.8805089961159074, 0.14255831144524309, 0.0, 0.1778948138395143, 0.3797164667393675, 0.6438507708603036, 0.0, 0.2848522167487685, 0.7757003332539172, 0.14560873446405273, 0.46351390150988186, 0.47026329896747027, 0.08670882625524723, nan, 0.16717484516436398, 0.49040240585388206, 0.4269185360094451, 0.09782193351165457, 0.8929769955183823, 0.8046204535691968, 0.9590862138793831, 0.04553666153467317, 0.1919049851539303, 0.36759942734721646, 0.0]                          | [nan, 0.8461725854729251, 0.9657024524747764, 0.8717211889928504, 0.7386199232908679, 0.5728516646330835, 0.0, 0.7229524174348182, 0.8661468957085944, 0.44266015441920126, 0.9636971438314745, 0.16451882237630233, 0.0, 0.17800331804430566, 0.44481349003576903, 0.8150531867346027, 0.0, 0.2848522167487685, 0.9260951906884237, 0.2249185544359421, 0.6512735360080518, 0.5153941017777545, 0.0896435113428209, nan, 0.23148473920309615, 0.6005358807082946, 0.49964074503951805, 0.09785932721712538, 0.9555801683760682, 0.8920875682663394, 0.9854006169210447, 0.0684193055373061, 0.28012828254364425, 0.47628225029862603, 0.0]                                     |
| 0.0668        | 110.0 | 5500  | 0.7138          | 0.4340 | 0.5140 | 0.8742           | [nan, 0.7871483106350147, 0.8799748398030087, 0.6039422540580079, 0.58793837643889, 0.4164255041075429, 0.0, 0.6184209066896527, 0.7402801021253262, 0.3308593247243554, 0.8857427628712552, 0.35066959646049234, 0.0, 0.16199673226522301, 0.42935960591133004, 0.6284724323670036, 0.0, 0.3552955665024631, 0.7640465559057021, 0.1673140841039061, 0.4603793394796352, 0.4502083383450174, 0.08286035553651745, nan, 0.19144741314841254, 0.494703324736749, 0.49196363166286033, 0.21928518242740133, 0.8942953842754613, 0.8018772529737324, 0.9608524553067362, 0.025030461104976583, 0.16785196891874093, 0.3735661360500572, 0.0]                              | [nan, 0.8648334810431274, 0.9433503159465763, 0.7861368460577638, 0.8401580732564278, 0.456157108825751, 0.0, 0.7569977355489718, 0.8541785433012485, 0.38047312464540317, 0.9656267441330937, 0.428703670091117, 0.0, 0.1620718259002635, 0.5567194685743485, 0.8251045360189903, 0.0, 0.3552955665024631, 0.9128087725432023, 0.21700886430790212, 0.6164003697345833, 0.5046228427325222, 0.08721995209243343, nan, 0.3096138622570147, 0.6316283736234475, 0.6310175205880727, 0.22515290519877676, 0.9574614010065557, 0.8952916600312878, 0.9807011750513465, 0.036369043090988304, 0.3078378487178455, 0.47336308192615123, 0.0]                                         |
| 0.0456        | 115.0 | 5750  | 0.7481          | 0.4396 | 0.5149 | 0.8874           | [nan, 0.8535949387776991, 0.889196790918221, 0.6590754161484988, 0.6643237184774637, 0.46255227979529023, 0.0, 0.6160656034941906, 0.7414819627132849, 0.33609977221984166, 0.881638905287202, 0.26364535016348567, 0.0, 0.11007294284111147, 0.47720425788310905, 0.6368556033975671, 0.0, 0.32869458128078816, 0.7703600738384895, 0.17442321190028753, 0.46530941552214283, 0.48260002610416075, 0.09418922868453915, nan, 0.20518864654252, 0.4743353551385976, 0.4722508031833358, 0.20610399397136397, 0.8954748076190832, 0.8187194150221221, 0.9605552926063987, 0.012601025462761798, 0.17920223292081403, 0.3762309075548745, 0.0]                           | [nan, 0.9413675139957597, 0.9627770101122414, 0.853864456654176, 0.7242582145309057, 0.5528162221834872, 0.0, 0.7381053284908671, 0.8687863919305888, 0.3676213029428452, 0.9679646105797591, 0.3146622136711802, 0.0, 0.11008099931687323, 0.6070516096065406, 0.8065015941122136, 0.0, 0.32869458128078816, 0.912257229374579, 0.23346465641336464, 0.6230433232027166, 0.5299729086514923, 0.09990136677469354, nan, 0.3254024100624505, 0.6366091637027598, 0.621511081633781, 0.2090978593272171, 0.9563050724169996, 0.8984035746737735, 0.9820063104609347, 0.01504138975525757, 0.32565785059646013, 0.47864626362234725, 0.0]                                          |
| 0.0432        | 120.0 | 6000  | 0.7519          | 0.4416 | 0.5185 | 0.8876           | [nan, 0.8517831570119985, 0.8901004311397058, 0.6339355013970817, 0.6606286462755991, 0.4746063751504886, 0.0, 0.6132450026307165, 0.7426311341925447, 0.3602046617396248, 0.8859214231639748, 0.3273784162152292, 0.0, 0.15872087354977088, 0.4255713403335392, 0.6326264779996124, 0.0, 0.35557744397931546, 0.7741301715457662, 0.17043647800201933, 0.46161159879531216, 0.5113488607281433, 0.11327498751609766, nan, 0.19760381654559253, 0.47813157752711966, 0.46921250159026334, 0.1416030534351145, 0.8955479192568264, 0.8197854779969181, 0.9604275470620833, 0.010892456172159384, 0.18561124493594658, 0.3689976212003217, 0.0]                          | [nan, 0.9296893165774394, 0.9616835385667785, 0.87624044997203, 0.7260692029572803, 0.5797304049735634, 0.0, 0.7494101274784102, 0.8745695578102397, 0.39073484792422114, 0.9642129041755406, 0.3904962427850583, 0.0, 0.15887576851761492, 0.528104241185488, 0.8103950021354152, 0.0, 0.3556650246305419, 0.9162409381106233, 0.22253201000075765, 0.6204044413898943, 0.5625662560153721, 0.12145977173453572, nan, 0.3206086727064825, 0.6318803849592027, 0.6115348477311667, 0.14181957186544342, 0.9576213674122256, 0.8924536538299407, 0.9825164346850114, 0.013502672872248463, 0.3639547522241456, 0.4569004983240106, 0.0]                                          |
| 0.0446        | 125.0 | 6250  | 0.7468          | 0.4334 | 0.5064 | 0.8877           | [nan, 0.8499567507325978, 0.8871076417101389, 0.6330569753090723, 0.6639770881242221, 0.4871746836767682, 0.0, 0.5980424732505424, 0.7360705192073508, 0.30519138810716817, 0.8812845049064242, 0.23256457139345144, 0.0, 0.13761825807080855, 0.4344916900496439, 0.6344221105527639, 0.0, 0.31022167487684726, 0.7799696347321634, 0.17147761834567948, 0.4735415094048958, 0.5082152629506022, 0.10032137118371719, nan, 0.19083052625766195, 0.477693792160024, 0.4774453072902102, 0.10550458715596331, 0.8982375671163275, 0.8273146135730871, 0.9607895023001171, 0.016035198543508544, 0.15227804315598747, 0.37272481048329426, 0.0]                          | [nan, 0.9294944628629415, 0.9603275161439091, 0.8696425971478271, 0.7134799429158917, 0.6058991342745919, 0.0, 0.7261197395153978, 0.8763951269825055, 0.32904117023113544, 0.9650643853185165, 0.2747304606672233, 0.0, 0.13769883868449304, 0.5143076136944302, 0.7674085992670063, 0.0, 0.31022167487684726, 0.9269199814674473, 0.20887946056519432, 0.6072557812618596, 0.5566839281178112, 0.10556573199943638, nan, 0.3039625296859882, 0.6508858436198338, 0.6133587575305367, 0.10550458715596331, 0.9551001306600062, 0.9014341786025424, 0.9824066792392325, 0.020100137620071783, 0.3101324423332394, 0.48336771260333516, 0.0]                                     |
| 0.0401        | 130.0 | 6500  | 0.7766          | 0.4379 | 0.5140 | 0.8867           | [nan, 0.8468760227965516, 0.8886795707269431, 0.622437352951649, 0.6682970140214559, 0.4786959592750148, 0.0, 0.6085294389146897, 0.7427519649223919, 0.3908760790623845, 0.8822040839218181, 0.20753357844976364, 0.0, 0.17475089531512655, 0.47288964490750585, 0.6415406446381512, 0.0, 0.2750554050726422, 0.778568992850166, 0.17143968092188597, 0.46392364840506783, 0.4823894964669603, 0.09554546178978404, nan, 0.20017632982073136, 0.47654683547891147, 0.4713058003824428, 0.1655881233346022, 0.8956585893822123, 0.8232044008477167, 0.9608808597268595, 0.012288627559172788, 0.18044196123782585, 0.37141827889613904, 0.0]                           | [nan, 0.9354963797165556, 0.9559979333791044, 0.8707192502509636, 0.7183888437369763, 0.6083772006275057, 0.0, 0.7415955894118731, 0.866331429776549, 0.4434248501443055, 0.9662129317110005, 0.2510073692235089, 0.0, 0.17500243973846002, 0.5682166581502299, 0.7858128979072931, 0.0, 0.2751231527093596, 0.9165205505248, 0.2204712478218047, 0.6489507377535817, 0.5256828538301831, 0.10136677469353247, nan, 0.3145395373383763, 0.6396451870589802, 0.5925772398165036, 0.16628440366972477, 0.9558582744735443, 0.8949720377326676, 0.9824620341597123, 0.014785513239880775, 0.3475571300135529, 0.47879491888421727, 0.0]                                            |
| 0.0532        | 135.0 | 6750  | 0.8100          | 0.4370 | 0.5099 | 0.8867           | [nan, 0.8418463475820702, 0.8855647993577028, 0.6407052153749961, 0.6672622261373646, 0.48550215050970236, 0.0, 0.6013553074721314, 0.7358587165510544, 0.41406543029797876, 0.8806464817122883, 0.20844846800909883, 0.0, 0.10624649381692236, 0.46624287593160896, 0.6367459896871661, 0.0, 0.2729064039408867, 0.7800250020493483, 0.16987653185041204, 0.47226725829848964, 0.5354231045094412, 0.10532085561497326, nan, 0.19529110166632935, 0.4793455617996517, 0.4643273310907372, 0.1317799847211612, 0.8929265734089717, 0.8098728542013477, 0.9610867606622594, 0.009269971902267766, 0.1905821312686735, 0.3815049812671639, 0.0]                          | [nan, 0.9263081557808802, 0.9609817135875093, 0.8755450316865522, 0.7097842872099934, 0.608116901981291, 0.0, 0.7151553355218178, 0.871465431167145, 0.49016995979180544, 0.9649383576369068, 0.24783097978001234, 0.0, 0.10627500731921538, 0.5434338272866632, 0.7518349671742002, 0.0, 0.2729064039408867, 0.918908888272893, 0.2238048336995227, 0.6329937167995292, 0.5943152161418457, 0.11100464985205016, nan, 0.31827777289119535, 0.6406199478859578, 0.5836235008014149, 0.13188073394495411, 0.9580930951851359, 0.8802967653698794, 0.9799166622128225, 0.011248193304333996, 0.3184117654952162, 0.4786317927561475, 0.0]                                         |
| 0.039         | 140.0 | 7000  | 0.7955          | 0.4374 | 0.5145 | 0.8873           | [nan, 0.8453406127060666, 0.8894584400292076, 0.618765500137779, 0.6661462422914772, 0.48188110711842147, 0.0, 0.608878748711235, 0.7435697628283624, 0.3796956629902977, 0.8857966705291055, 0.3616908539636749, 0.0, 0.12437204311564161, 0.5013698630136987, 0.6370300461309403, 0.0, 0.18285784554845055, 0.7737808450225561, 0.16547070030804295, 0.47332405936901073, 0.47251187823235086, 0.09493722374379694, nan, 0.19320955193290454, 0.47309349183647703, 0.4585451464536432, 0.13724742661075104, 0.8963119205284326, 0.8287376073022066, 0.9613351708673005, 0.00971653416847346, 0.18365372022293688, 0.38471762753712496, 0.0]                          | [nan, 0.9325931121764209, 0.9570000189093305, 0.8775718982045564, 0.7170735817481989, 0.6105484864330951, 0.0, 0.7451100949905688, 0.8584129411105655, 0.45178716791238066, 0.9654472341160111, 0.4460376810541983, 0.0, 0.12442666146189128, 0.5610628513030148, 0.7776685239812083, 0.0, 0.183128078817734, 0.9154620178139884, 0.2112205470111372, 0.6293701931124976, 0.5103334549061737, 0.09866140622798365, nan, 0.31508927786084967, 0.6503865758791867, 0.6281711159011772, 0.13761467889908258, 0.9610215191517875, 0.9003190602429954, 0.981970520641659, 0.01171499505535923, 0.3387008037786992, 0.48129837873677234, 0.0]                                         |
| 0.0406        | 145.0 | 7250  | 0.8306          | 0.4360 | 0.5141 | 0.8867           | [nan, 0.8435997939171356, 0.886366406157634, 0.6223465646375345, 0.6631770897769883, 0.4788596814657396, 0.0, 0.6085666309373553, 0.7410466976722848, 0.31492224002889196, 0.8837966051190714, 0.22238290725881693, 0.0, 0.13819236298949727, 0.5232347616173808, 0.6307999909800885, 0.0, 0.3076828669612175, 0.7764942343062243, 0.16667183036627153, 0.4750608982109485, 0.4864866269041335, 0.08490179473871118, nan, 0.1946730634021258, 0.47966615140417673, 0.46086619157494946, 0.12857687905379625, 0.8998584935109988, 0.8307591913787293, 0.9614240003370637, 0.006127383872241452, 0.19595372863270513, 0.37590210909466404, 0.0]                          | [nan, 0.9378495859578592, 0.954765284801492, 0.8295152378981893, 0.7149554091802339, 0.6165097902504213, 0.0, 0.7444147582080288, 0.8516346093644449, 0.3441624115049705, 0.9674811514482063, 0.25957454532253965, 0.0, 0.13835756806870303, 0.6645375574859479, 0.8335170783548365, 0.0, 0.308743842364532, 0.922605741887015, 0.2037881657701341, 0.6393476201715377, 0.5315353798252473, 0.08758630407214316, nan, 0.31051543671387105, 0.6595398177910493, 0.623721881390593, 0.12882262996941896, 0.9541870064066892, 0.8996719468670082, 0.9800173509043849, 0.007351263130960367, 0.3720998886249883, 0.47889753048090633, 0.0]                                          |
| 0.037         | 150.0 | 7500  | 0.8222          | 0.4343 | 0.5077 | 0.8875           | [nan, 0.844207269702504, 0.8878295221933561, 0.6214984234657922, 0.6643742580050236, 0.48557575036716316, 0.0, 0.6097768299571183, 0.7465852256395515, 0.3695119182746879, 0.884482746916304, 0.229786147654232, 0.0, 0.10648001365753726, 0.45458553791887124, 0.6442341311464989, 0.0, 0.258520979451212, 0.7755187494699113, 0.17377147325464898, 0.4744249539706051, 0.5001041209924736, 0.08993947946915624, nan, 0.19405005327880656, 0.4817597684924271, 0.45507234290956095, 0.1162079510703364, 0.898116706658797, 0.8266099378191127, 0.9613809600564381, 0.008963162954562462, 0.1934702763543734, 0.37436200278398785, 0.0]                                | [nan, 0.9305498764782347, 0.9581999167444519, 0.848117198096508, 0.7216662302611518, 0.6072343268839695, 0.0, 0.7464716749664212, 0.8558986644346832, 0.40151459088778707, 0.9658946853385326, 0.27772534214252004, 0.0, 0.10651898116521909, 0.5268267756770567, 0.8052302772066784, 0.0, 0.258743842364532, 0.9231421412121703, 0.21550875066292902, 0.6330883339173254, 0.5487097904926255, 0.09339157390446667, nan, 0.29633213123405755, 0.648311048557354, 0.6032167136461615, 0.1162079510703364, 0.9569935512071162, 0.8966612022369814, 0.9819461835645514, 0.01076756039031542, 0.35058975081518456, 0.467014318264338, 0.0]                                          |
| 0.0359        | 155.0 | 7750  | 0.8264          | 0.4336 | 0.5100 | 0.8876           | [nan, 0.8425150819450634, 0.8887259579748503, 0.6062849127025877, 0.6661436167605636, 0.477463082002611, 0.0, 0.608982398838398, 0.74429892821273, 0.3660286553193368, 0.8814051326012079, 0.18797448685125717, 0.0, 0.206084945843982, 0.4612220916568743, 0.6472122569202, 0.0, 0.1635491016490278, 0.7777400139827546, 0.16735784151426214, 0.4777184910568181, 0.5271252583451728, 0.1026913327220754, nan, 0.20569207071077533, 0.49218430887769665, 0.4574078290930921, 0.0779816513761468, 0.8958569293152772, 0.8268185544245148, 0.961547775435119, 0.016675747796079745, 0.1920671902330555, 0.3826628162758937, 0.0007393715341959334]                      | [nan, 0.9373452897590907, 0.9575174915394369, 0.8346226350031035, 0.7189249990837373, 0.592023705769566, 0.0, 0.743514796514588, 0.8620311269429625, 0.40898887491057995, 0.9669574481830303, 0.230551421207391, 0.0, 0.2065726554113399, 0.6016862544711293, 0.8009495148138216, 0.0, 0.16366995073891627, 0.9155667078623104, 0.2259489355254186, 0.6286330113925248, 0.5697087786470788, 0.10731294913343667, nan, 0.3083164746239775, 0.6503009871236473, 0.6106228928314817, 0.0779816513761468, 0.9592060735712507, 0.8998802821519236, 0.9815085933742069, 0.02063609518606372, 0.36394133354803215, 0.48287175655267134, 0.0011527377521613833]                         |
| 0.0335        | 160.0 | 8000  | 0.8518          | 0.4340 | 0.5059 | 0.8886           | [nan, 0.8436530764368111, 0.8895900440620743, 0.6082310506714941, 0.6647265197368698, 0.48458344251575175, 0.0, 0.6090840245108227, 0.7404627804506331, 0.38335284631867284, 0.8815549567555062, 0.18294506042107886, 0.0, 0.07282879016921051, 0.4207551435677142, 0.6530114804312678, 0.0, 0.3558657849620377, 0.7775443898061408, 0.17116698280457718, 0.4806890482304907, 0.4933879226304321, 0.09181473293485085, nan, 0.17767671317351422, 0.4911045514027132, 0.4719998327724242, 0.08830275229357798, 0.9007817953005852, 0.8305455831626325, 0.9611232513095775, 0.006788911045474309, 0.20454109523352834, 0.3848491020278139, 0.0]                          | [nan, 0.9335459063558043, 0.9603316031750019, 0.8547916810348131, 0.7148900428130813, 0.5963366451687874, 0.0, 0.7503401525473862, 0.8677483877983438, 0.42808160043414983, 0.9664967587586591, 0.2132355610411297, 0.0, 0.0728749878013077, 0.47547266223811957, 0.7982678307162083, 0.0, 0.3578817733990148, 0.9317873005484486, 0.20920524282142586, 0.6235621577277751, 0.5465768257567909, 0.09480061998027335, nan, 0.25343038086023395, 0.6593662628145387, 0.6239982313601945, 0.08830275229357798, 0.9526813832066575, 0.902749388764508, 0.9824663289380254, 0.007828438254230607, 0.3434241777706212, 0.48473192062598336, 0.0]                                      |
| 0.0346        | 165.0 | 8250  | 0.8438          | 0.4379 | 0.5103 | 0.8883           | [nan, 0.8459468636033894, 0.8888331369606564, 0.6143356921364396, 0.6654980544147341, 0.48167853831328056, 0.0, 0.6135617243950853, 0.7453493425593741, 0.36501505490612823, 0.8871093023776453, 0.28924392439243923, 0.0, 0.11610167426217922, 0.44053678852383155, 0.6419692508995748, 0.0, 0.31108930323846906, 0.7764850703242182, 0.17769648792669843, 0.48261405652354455, 0.5041534749331448, 0.09703109762704519, nan, 0.1935639159166168, 0.4981157384329542, 0.45534552215680196, 0.08371559633027523, 0.8969250693293208, 0.8249491172270096, 0.9618063555393217, 0.009535384030237478, 0.19902344047093898, 0.3833148309593847, 0.0]                       | [nan, 0.9345559069102661, 0.95845124190979, 0.8289156072553392, 0.7178118816407789, 0.6027575387833363, 0.0, 0.7548031091349021, 0.8646673279137435, 0.4066947877352673, 0.9652041807300498, 0.34996551348604205, 0.0, 0.11622914023616668, 0.4864588656106285, 0.7796748209727561, 0.0, 0.31231527093596056, 0.925766196175982, 0.22965376164860973, 0.6295864608103177, 0.5586281474711666, 0.10094406087079047, nan, 0.2917802797079778, 0.6533227456872777, 0.6091029679986735, 0.08371559633027523, 0.9575749702296287, 0.8960586786072262, 0.9801156536079956, 0.011096050511407251, 0.3511399165358346, 0.48239553350137077, 0.0]                                        |
| 0.0359        | 170.0 | 8500  | 0.8588          | 0.4298 | 0.5008 | 0.8882           | [nan, 0.843094419260262, 0.8900013429866321, 0.6133301326394077, 0.6661149601220273, 0.4853624310010443, 0.0, 0.6120054866295084, 0.7375298943289792, 0.3408351470819216, 0.8829721413070726, 0.22209681464760472, 0.0, 0.03861163959217523, 0.4175319971021492, 0.6376489814784245, 0.0, 0.28027511667894867, 0.7789104093843366, 0.17390202354217138, 0.47461354628029206, 0.516023356843965, 0.08927792321116929, nan, 0.18421222487575034, 0.4871304688103021, 0.45871426798494186, 0.05387848681696599, 0.8994123394635088, 0.8242101331834862, 0.9615335975044262, 0.007916133605582808, 0.22646747269605874, 0.37908474344043297, 0.0]                          | [nan, 0.9397440850808414, 0.9577213526503497, 0.8272086714637118, 0.7156158739766668, 0.6048939631630934, 0.0, 0.7494343721360998, 0.8668388984634243, 0.3747009053010681, 0.9680392740381917, 0.25716048934548225, 0.0, 0.03862105982238704, 0.441747572815534, 0.7673092776337614, 0.0, 0.2810344827586207, 0.9210972833920102, 0.22352450943253277, 0.6446638544934293, 0.5682428088718845, 0.09226433704382134, nan, 0.31379189022781245, 0.6451870589801624, 0.6128613275852539, 0.05389908256880734, 0.9556559273578009, 0.9013431255913293, 0.9796174593236774, 0.009692187467583211, 0.33278316761268334, 0.4804472286975694, 0.0]                                      |
| 0.0342        | 175.0 | 8750  | 0.8689          | 0.4339 | 0.5051 | 0.8880           | [nan, 0.842207631443645, 0.8893284445771101, 0.6225399576081035, 0.6646476520665043, 0.48347573182283166, 0.0, 0.6145921797450942, 0.7331767170008916, 0.3267635558167394, 0.8840148558277702, 0.2103112515380292, 0.0, 0.10012921471584953, 0.3746216530849825, 0.6392775627666964, 0.0, 0.4631879914224446, 0.7770691785507862, 0.1792685215596115, 0.48551142385802487, 0.48582005237755577, 0.08915524176996963, nan, 0.18459143368114972, 0.48183353534471146, 0.4823333617820261, 0.029434250764525993, 0.897290929740743, 0.8192668128466759, 0.9613327742988569, 0.0055269961977186316, 0.2091533037018423, 0.3819620509014621, 0.0]                           | [nan, 0.9364984593883142, 0.9624452521749953, 0.8451305393993732, 0.7156570585663757, 0.5934239730404973, 0.0, 0.7383128627606906, 0.8535853980828229, 0.35661955154295866, 0.965347682838101, 0.2512977819726286, 0.0, 0.10020005855372303, 0.41108840061318347, 0.7677959536366616, 0.0, 0.47881773399014776, 0.9253472165067016, 0.23157814985983788, 0.6453594462715136, 0.5296791470411678, 0.09181344229956319, nan, 0.31548509103703054, 0.6294458603571904, 0.6247167412811585, 0.029434250764525993, 0.9557927644216986, 0.8822924375415687, 0.9825359997862155, 0.006282805789724829, 0.3573930196046858, 0.48477927982445523, 0.0]                                   |
| 0.0621        | 180.0 | 9000  | 0.7787          | 0.4015 | 0.4924 | 0.8783           | [0.0, 0.8086755425666048, 0.8830559170088975, 0.5349712025714258, 0.645925544331418, 0.4397485010784333, 0.0, 0.6035436142733216, 0.7401548966695519, 0.27901830172394715, 0.8781545312615516, 0.15653466918823716, 0.0007045974986788797, 0.12723599990265033, 0.20456217807211186, 0.629064116632701, 0.0, 0.28005299927728255, 0.7801685900058292, 0.18456300860811892, 0.45049561474148564, 0.5454936336497989, 0.09604580812445981, nan, 0.13710408411674824, 0.4796006742513984, 0.4462842458656277, 0.08326967150496563, 0.895986048178371, 0.8195021626448673, 0.9584500399303424, 0.012936392680801627, 0.2073265351363334, 0.33898081262786167, 0.001953125] | [nan, 0.9020274819425876, 0.9445349555322843, 0.7582243269960229, 0.7115816733865559, 0.6725024693509964, 0.0, 0.7246456643278654, 0.8622486135230519, 0.3110091516810972, 0.9623436700743563, 0.19680908991904744, 0.0007616146230007616, 0.12754952669073874, 0.21308124680633622, 0.7971156997705671, 0.0, 0.28633004926108374, 0.9141247505929693, 0.2378134707174786, 0.6194613894575736, 0.6931652884469377, 0.10021135691137101, nan, 0.23282610607793122, 0.6372106624569679, 0.5951196595368374, 0.08333333333333333, 0.9429497472807788, 0.9053891766821857, 0.9799066410634253, 0.015400999993084419, 0.4015941387222737, 0.4187395086220052, 0.0023054755043227667] |
| 0.0374        | 185.0 | 9250  | 0.8500          | 0.4261 | 0.5005 | 0.8835           | [nan, 0.8434716396594377, 0.8889128861529657, 0.64763139635125, 0.6591157906879173, 0.47535724026979675, 0.0, 0.6200541090314029, 0.749098883299684, 0.3885603318916056, 0.8826306979452221, 0.1625372623759957, 0.0, 0.08342478113492818, 0.39311682016480853, 0.6380806324629313, 0.0, 0.22758620689655173, 0.7521926906996731, 0.17508827683615819, 0.39885397225233327, 0.46177267841868885, 0.09434473050163783, nan, 0.14603587039096305, 0.4816513597668971, 0.4814476488755492, 0.10313216195569137, 0.9008454163938971, 0.818761674014968, 0.9607465658084764, 0.006843049110009815, 0.22781082971393046, 0.39319498274838577, 0.0]                           | [nan, 0.9312379371557167, 0.9615129186420878, 0.8851103856793643, 0.708138414982727, 0.5974376852013248, 0.0, 0.7408003646396516, 0.865632836519292, 0.4343471718591973, 0.9632888776864283, 0.1811086506697644, 0.0, 0.08346345271786865, 0.41440981093510476, 0.772771967462233, 0.0, 0.22758620689655173, 0.8636544903580905, 0.22540343965451928, 0.6805965245365061, 0.5255778376023376, 0.09821051148372552, nan, 0.29167033160348316, 0.6413712269623599, 0.6117282927098878, 0.10321100917431193, 0.9538809235006024, 0.8999256213056552, 0.9828299535018667, 0.007811149300488931, 0.3540249319002187, 0.5106163536574456, 0.0]                                        |
| 0.0312        | 190.0 | 9500  | 0.8366          | 0.4271 | 0.5011 | 0.8871           | [nan, 0.8383583648435936, 0.8893585287734083, 0.6242144991822743, 0.6523942357118304, 0.4788692097394316, 0.0, 0.6222419857542325, 0.7495553204266636, 0.3855623463905866, 0.8844989483482312, 0.21960980490245122, 0.0, 0.03046415766238201, 0.39732965009208104, 0.6460657345680039, 0.0, 0.16235120873726838, 0.7700717667212197, 0.16549668505209203, 0.49368437402670146, 0.46331160358515755, 0.09818201434967902, nan, 0.17114682596121936, 0.5135764361691169, 0.4659315099786098, 0.10504201680672269, 0.9002915149364578, 0.8254822330499596, 0.9604699442360148, 0.009150900078881995, 0.18152508685955304, 0.3910305542248974, 0.0]                        | [nan, 0.9283969805595136, 0.9598165282698033, 0.8767078936680537, 0.7034928688316159, 0.5971018534658068, 0.0, 0.7531496234804661, 0.8637248860666893, 0.4372826167394361, 0.9671062455718215, 0.2709187933350274, 0.0, 0.03047233336586318, 0.4409810935104752, 0.7719575300696244, 0.0, 0.1629310344827586, 0.9197306063880243, 0.22505492840366695, 0.6378119115673065, 0.5240721319571477, 0.10257855431872623, nan, 0.31753012578063156, 0.6519010213591494, 0.620018791797933, 0.10512232415902141, 0.9564885836615992, 0.9020052271173103, 0.9846571430752903, 0.010750271436573745, 0.32109550071789916, 0.49397091092787193, 0.0]                                      |
| 0.0326        | 195.0 | 9750  | 0.8707          | 0.4272 | 0.4984 | 0.8861           | [nan, 0.8261617719245659, 0.8854917604179252, 0.6200336534230758, 0.660580250534605, 0.4498640011519204, 0.0, 0.6209593550575648, 0.7414471855553728, 0.34006487158979826, 0.8877441348891416, 0.23385327442671236, 0.0, 0.0332081728190374, 0.43202489229296315, 0.6361883362956504, 0.0, 0.1902200488997555, 0.7701853795262287, 0.15860467354944288, 0.49904952690861926, 0.46916590678565206, 0.09274864326815566, nan, 0.17989392302744164, 0.5138984658207596, 0.4806735961411222, 0.12204424103737604, 0.9008746454479115, 0.8221407501198316, 0.9611822232918834, 0.00719201457815406, 0.1665572869766945, 0.3941783403071965, 0.0]                            | [nan, 0.9130443736650012, 0.965349714444587, 0.8908710545070002, 0.7139688682285827, 0.5282453082331068, 0.0, 0.7562413022290538, 0.8614280959708963, 0.37758701497323566, 0.9644183610682487, 0.28246270011253494, 0.0, 0.03322923782570508, 0.46116504854368934, 0.7536724173892315, 0.0, 0.1916256157635468, 0.9292328194741926, 0.19972725206455033, 0.628904385763347, 0.5198814168108274, 0.0958433140763703, nan, 0.325930160964025, 0.6750836867831942, 0.6223677665395457, 0.12232415902140673, 0.9573260874322359, 0.8965555357795243, 0.9795764203309079, 0.007942545348925665, 0.29287602485138814, 0.49881075790503954, 0.0]                                       |
| 0.0323        | 200.0 | 10000 | 0.8527          | 0.4345 | 0.5079 | 0.8871           | [nan, 0.8382620833593052, 0.8876413942052827, 0.6261839847460975, 0.6590417473673477, 0.48228357004057837, 0.0, 0.6202905105623743, 0.748344409080285, 0.39096811362981676, 0.8848513296576286, 0.2415092028297553, 0.0, 0.07068982339740462, 0.41356382978723405, 0.6474134903246308, 0.0, 0.3062052505966587, 0.7704161510118073, 0.16108765491481541, 0.49752934863906867, 0.4734664813860761, 0.09820294554789893, nan, 0.17153699720635862, 0.514555863370054, 0.4660696051735875, 0.08826901031715705, 0.8991007829081079, 0.829742650939299, 0.9612781430019607, 0.01112666737555973, 0.1861992251927429, 0.391388886866003, 0.0]                               | [nan, 0.9255583122183136, 0.9555184973850358, 0.8927561553139153, 0.7130378697969978, 0.6275811980710011, 0.0, 0.7474676455043131, 0.8545937449541465, 0.43523520560447965, 0.9672661630501664, 0.28627436744473084, 0.0, 0.0707036205718747, 0.47675012774655084, 0.7689381524189783, 0.0, 0.31600985221674877, 0.9278457312029238, 0.2055231456928555, 0.6363063556709445, 0.5255962863991213, 0.10240946878962942, nan, 0.30514996921453075, 0.6575213496395762, 0.6054551483999336, 0.08830275229357798, 0.9550074747938649, 0.8984159398975186, 0.9823971352874257, 0.013025497748978224, 0.3256981066248004, 0.49491941043060034, 0.0]                                    |


### Framework versions

- Transformers 4.16.2
- Pytorch 1.7.1+cu110
- Datasets 1.18.3
- Tokenizers 0.10.3

{"license": "apache-2.0", "tags": ["generated_from_trainer", "vision", "image-segmentation"], "datasets": ["segments/sidewalk-semantic"], "widget": [{"src": "https://segmentsai-prod.s3.eu-west-2.amazonaws.com/assets/admin-tobias/439f6843-80c5-47ce-9b17-0b2a1d54dbeb.jpg", "example_title": "Brugge"}], "base_model": "nvidia/mit-b3", "model-index": [{"name": "segformer-b3-finetuned-segments-sidewalk", "results": []}]}
transformers pytorch safetensors segformer generated_from_trainer vision image-segmentation dataset:segments/sidewalk-semantic base_model:nvidia/mit-b3 license:apache-2.0 endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #safetensors #segformer #generated_from_trainer #vision #image-segmentation #dataset-segments/sidewalk-semantic #base_model-nvidia/mit-b3 #license-apache-2.0 #endpoints_compatible #has_space #region-us 

segformer-b3-finetuned-segments-sidewalk
========================================


This model is a fine-tuned version of nvidia/mit-b3 on the 'sidewalk-semantic' dataset.
It achieves the following results on the evaluation set:


* Loss: 0.8527
* Miou: 0.4345
* Macc: 0.5079
* Overall Accuracy: 0.8871
* Per Category Iou: [nan, 0.8382620833593052, 0.8876413942052827, 0.6261839847460975, 0.6590417473673477, 0.48228357004057837, 0.0, 0.6202905105623743, 0.748344409080285, 0.39096811362981676, 0.8848513296576286, 0.2415092028297553, 0.0, 0.07068982339740462, 0.41356382978723405, 0.6474134903246308, 0.0, 0.3062052505966587, 0.7704161510118073, 0.16108765491481541, 0.49752934863906867, 0.4734664813860761, 0.09820294554789893, nan, 0.17153699720635862, 0.514555863370054, 0.4660696051735875, 0.08826901031715705, 0.8991007829081079, 0.829742650939299, 0.9612781430019607, 0.01112666737555973, 0.1861992251927429, 0.391388886866003, 0.0]
* Per Category Accuracy: [nan, 0.9255583122183136, 0.9555184973850358, 0.8927561553139153, 0.7130378697969978, 0.6275811980710011, 0.0, 0.7474676455043131, 0.8545937449541465, 0.43523520560447965, 0.9672661630501664, 0.28627436744473084, 0.0, 0.0707036205718747, 0.47675012774655084, 0.7689381524189783, 0.0, 0.31600985221674877, 0.9278457312029238, 0.2055231456928555, 0.6363063556709445, 0.5255962863991213, 0.10240946878962942, nan, 0.30514996921453075, 0.6575213496395762, 0.6054551483999336, 0.08830275229357798, 0.9550074747938649, 0.8984159398975186, 0.9823971352874257, 0.013025497748978224, 0.3256981066248004, 0.49491941043060034, 0.0]


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: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 200


### Training results



### Framework versions


* Transformers 4.16.2
* Pytorch 1.7.1+cu110
* Datasets 1.18.3
* Tokenizers 0.10.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 6e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 200 ### Training results ### Framework versions


* Transformers 4.16.2
* Pytorch 1.7.1+cu110
* Datasets 1.18.3
* Tokenizers 0.10.3
TAGS
#transformers #pytorch #safetensors #segformer #generated_from_trainer #vision #image-segmentation #dataset-segments/sidewalk-semantic #base_model-nvidia/mit-b3 #license-apache-2.0 #endpoints_compatible #has_space #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 6e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 200 ### Training results ### Framework versions


* Transformers 4.16.2
* Pytorch 1.7.1+cu110
* Datasets 1.18.3
* Tokenizers 0.10.3
passage: TAGS
#transformers #pytorch #safetensors #segformer #generated_from_trainer #vision #image-segmentation #dataset-segments/sidewalk-semantic #base_model-nvidia/mit-b3 #license-apache-2.0 #endpoints_compatible #has_space #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 6e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 200### Training results### Framework versions


* Transformers 4.16.2
* Pytorch 1.7.1+cu110
* Datasets 1.18.3
* Tokenizers 0.10.3