Theoreticallyhugo
/

longformer-spans

@@ -17,12 +17,12 @@ model-index:
       name: essays_su_g
       type: essays_su_g
       config: spans
-      split: train[60%:80%]
       args: spans
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9446567164179105
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,13 +32,13 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the essays_su_g dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4964
-- B: {'precision': 0.8815165876777251, 'recall': 0.9041666666666667, 'f1-score': 0.8926979773740144, 'support': 1440.0}
-- I: {'precision': 0.9563064508734125, 'recall': 0.9662296752675221, 'f1-score': 0.9612424535692888, 'support': 21587.0}
-- O: {'precision': 0.9289071680376029, 'recall': 0.9057576625608708, 'f1-score': 0.9171863669325598, 'support': 10473.0}
-- Accuracy: 0.9447
-- Macro avg: {'precision': 0.9222434021962469, 'recall': 0.9253846681650199, 'f1-score': 0.9237089326252876, 'support': 33500.0}
-- Weighted avg: {'precision': 0.9445258511080028, 'recall': 0.9446567164179105, 'f1-score': 0.9445229478657765, 'support': 33500.0}
 ## Model description
@@ -67,58 +67,58 @@ The following hyperparameters were used during training:
 ### Training results
-| Training Loss | Epoch | Step | Validation Loss | B                                                                                                                  | I                                                                                                                   | O                                                                                                                   | Accuracy | Macro avg                                                                                                           | Weighted avg                                                                                                        |
-|:-------------:|:-----:|:----:|:---------------:|:------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:--------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|
-| No log        | 1.0   | 81   | 0.3293          | {'precision': 0.7768096514745308, 'recall': 0.8048611111111111, 'f1-score': 0.7905866302864938, 'support': 1440.0} | {'precision': 0.9637593111099372, 'recall': 0.8450919534905267, 'f1-score': 0.9005331227169513, 'support': 21587.0} | {'precision': 0.7463108800367001, 'recall': 0.9320156593144275, 'f1-score': 0.8288892663043479, 'support': 10473.0} | 0.8705   | {'precision': 0.8289599475403894, 'recall': 0.8606562413053552, 'f1-score': 0.8400030064359308, 'support': 33500.0} | {'precision': 0.8877430445874, 'recall': 0.8705373134328358, 'f1-score': 0.8734092702599646, 'support': 33500.0}    |
-| No log        | 2.0   | 162  | 0.2162          | {'precision': 0.8325849903784477, 'recall': 0.9013888888888889, 'f1-score': 0.8656218739579861, 'support': 1440.0} | {'precision': 0.9423736462093862, 'recall': 0.9673877796822161, 'f1-score': 0.9547168948727912, 'support': 21587.0} | {'precision': 0.9332379102341274, 'recall': 0.8715745249689678, 'f1-score': 0.9013528191962081, 'support': 10473.0} | 0.9346   | {'precision': 0.902732182273987, 'recall': 0.9134503978466909, 'f1-score': 0.9072305293423284, 'support': 33500.0}  | {'precision': 0.9347982961417612, 'recall': 0.9345970149253732, 'f1-score': 0.9342040950316517, 'support': 33500.0} |
-| No log        | 3.0   | 243  | 0.2408          | {'precision': 0.8717034925160371, 'recall': 0.8493055555555555, 'f1-score': 0.8603587759409076, 'support': 1440.0} | {'precision': 0.9677057963955188, 'recall': 0.9203224162690509, 'f1-score': 0.9434195218082959, 'support': 21587.0} | {'precision': 0.8459410391631365, 'recall': 0.9343072663038289, 'f1-score': 0.8879310344827586, 'support': 10473.0} | 0.9216   | {'precision': 0.8951167760248975, 'recall': 0.9013117460428117, 'f1-score': 0.8972364440773206, 'support': 33500.0} | {'precision': 0.9255121957960801, 'recall': 0.9216417910447762, 'f1-score': 0.9225019575751797, 'support': 33500.0} |
-| No log        | 4.0   | 324  | 0.2208          | {'precision': 0.8504854368932039, 'recall': 0.9125, 'f1-score': 0.8804020100502512, 'support': 1440.0}             | {'precision': 0.945595388218339, 'recall': 0.9726224116366332, 'f1-score': 0.9589184992350025, 'support': 21587.0}  | {'precision': 0.9427750999897446, 'recall': 0.877780960565263, 'f1-score': 0.9091178797468354, 'support': 10473.0}  | 0.9404   | {'precision': 0.9129519750337626, 'recall': 0.9209677907339654, 'f1-score': 0.9161461296773631, 'support': 33500.0} | {'precision': 0.9406253819936745, 'recall': 0.9403880597014925, 'f1-score': 0.9399744505088647, 'support': 33500.0} |
-| No log        | 5.0   | 405  | 0.2258          | {'precision': 0.8736559139784946, 'recall': 0.9027777777777778, 'f1-score': 0.8879781420765027, 'support': 1440.0} | {'precision': 0.9539317642765919, 'recall': 0.9688238291564367, 'f1-score': 0.9613201259451634, 'support': 21587.0} | {'precision': 0.9334853291038858, 'recall': 0.899169292466342, 'f1-score': 0.916006030835076, 'support': 10473.0}   | 0.9442   | {'precision': 0.9203576691196576, 'recall': 0.9235902998001855, 'f1-score': 0.921768099618914, 'support': 33500.0}  | {'precision': 0.9440889959185916, 'recall': 0.9442089552238806, 'f1-score': 0.9440011117702735, 'support': 33500.0} |
-| No log        | 6.0   | 486  | 0.2242          | {'precision': 0.8803827751196173, 'recall': 0.8944444444444445, 'f1-score': 0.8873579056148813, 'support': 1440.0} | {'precision': 0.9539267015706806, 'recall': 0.9706304720433594, 'f1-score': 0.9622060984570168, 'support': 21587.0} | {'precision': 0.9365567911040509, 'recall': 0.9006970304592762, 'f1-score': 0.9182769530299342, 'support': 10473.0} | 0.9455   | {'precision': 0.923622089264783, 'recall': 0.9219239823156933, 'f1-score': 0.9226136523672773, 'support': 33500.0}  | {'precision': 0.9453351097376493, 'recall': 0.9454925373134329, 'f1-score': 0.945255312255509, 'support': 33500.0}  |
-| 0.1601        | 7.0   | 567  | 0.2252          | {'precision': 0.8730691739422431, 'recall': 0.9027777777777778, 'f1-score': 0.8876749743939911, 'support': 1440.0} | {'precision': 0.9581108451482232, 'recall': 0.9641914114976606, 'f1-score': 0.9611415113943341, 'support': 21587.0} | {'precision': 0.9247594050743657, 'recall': 0.9083357204239473, 'f1-score': 0.9164739884393064, 'support': 10473.0} | 0.9441   | {'precision': 0.9186464747216107, 'recall': 0.9251016365664619, 'f1-score': 0.9217634914092105, 'support': 33500.0} | {'precision': 0.9440287663891153, 'recall': 0.944089552238806, 'f1-score': 0.9440192791200506, 'support': 33500.0}  |
-| 0.1601        | 8.0   | 648  | 0.2487          | {'precision': 0.8740888005301524, 'recall': 0.9159722222222222, 'f1-score': 0.894540522210919, 'support': 1440.0}  | {'precision': 0.9540255968049378, 'recall': 0.9737805160513272, 'f1-score': 0.9638018385639943, 'support': 21587.0} | {'precision': 0.9441598875163202, 'recall': 0.8976415544734078, 'f1-score': 0.9203132648066569, 'support': 10473.0} | 0.9475   | {'precision': 0.9240914282838034, 'recall': 0.9291314309156524, 'f1-score': 0.9262185418605234, 'support': 33500.0} | {'precision': 0.9475052218791054, 'recall': 0.9474925373134329, 'f1-score': 0.947228939205516, 'support': 33500.0}  |
-| 0.1601        | 9.0   | 729  | 0.3045          | {'precision': 0.8643282594308405, 'recall': 0.9069444444444444, 'f1-score': 0.8851236868858015, 'support': 1440.0} | {'precision': 0.9540067462849849, 'recall': 0.9695186918052532, 'f1-score': 0.9617001723147618, 'support': 21587.0} | {'precision': 0.9358272808675754, 'recall': 0.8981189725961998, 'f1-score': 0.9165854609237966, 'support': 10473.0} | 0.9445   | {'precision': 0.9180540955278002, 'recall': 0.9248607029486324, 'f1-score': 0.9211364400414532, 'support': 33500.0} | {'precision': 0.9444685205421044, 'recall': 0.9445074626865672, 'f1-score': 0.9443044555560967, 'support': 33500.0} |
-| 0.1601        | 10.0  | 810  | 0.3263          | {'precision': 0.8695945945945946, 'recall': 0.89375, 'f1-score': 0.8815068493150685, 'support': 1440.0}            | {'precision': 0.9660159757999717, 'recall': 0.9467735211006625, 'f1-score': 0.956297959947595, 'support': 21587.0}  | {'precision': 0.8937678357728068, 'recall': 0.9270505108373914, 'f1-score': 0.9101049868766404, 'support': 10473.0} | 0.9383   | {'precision': 0.909792802055791, 'recall': 0.9225246773126846, 'f1-score': 0.9159699320464346, 'support': 33500.0}  | {'precision': 0.9392845859659347, 'recall': 0.9383283582089552, 'f1-score': 0.9386418940884026, 'support': 33500.0} |
-| 0.1601        | 11.0  | 891  | 0.3124          | {'precision': 0.8831168831168831, 'recall': 0.8972222222222223, 'f1-score': 0.8901136755080951, 'support': 1440.0} | {'precision': 0.9535359970874671, 'recall': 0.9706304720433594, 'f1-score': 0.9620073001078947, 'support': 21587.0} | {'precision': 0.9361025539103647, 'recall': 0.8994557433400172, 'f1-score': 0.917413322945072, 'support': 10473.0}  | 0.9452   | {'precision': 0.9242518113715716, 'recall': 0.922436145868533, 'f1-score': 0.9231780995203539, 'support': 33500.0}  | {'precision': 0.9450588635199616, 'recall': 0.9452238805970149, 'f1-score': 0.9449756719810304, 'support': 33500.0} |
-| 0.1601        | 12.0  | 972  | 0.3427          | {'precision': 0.8661735036987223, 'recall': 0.8944444444444445, 'f1-score': 0.8800819952169457, 'support': 1440.0} | {'precision': 0.9512039692293687, 'recall': 0.9680363181544448, 'f1-score': 0.9595463311598861, 'support': 21587.0} | {'precision': 0.9310035842293907, 'recall': 0.8928673732454884, 'f1-score': 0.9115367743822197, 'support': 10473.0} | 0.9414   | {'precision': 0.9161270190524938, 'recall': 0.9184493786147926, 'f1-score': 0.9170550335863505, 'support': 33500.0} | {'precision': 0.9412337452750731, 'recall': 0.9413731343283582, 'f1-score': 0.9411214734915179, 'support': 33500.0} |
-| 0.0222        | 13.0  | 1053 | 0.3817          | {'precision': 0.8704318936877077, 'recall': 0.9097222222222222, 'f1-score': 0.8896434634974534, 'support': 1440.0} | {'precision': 0.9556591698665204, 'recall': 0.9684532357437347, 'f1-score': 0.9620136667970457, 'support': 21587.0} | {'precision': 0.9343808676746714, 'recall': 0.9027976701995608, 'f1-score': 0.9183177933177933, 'support': 10473.0} | 0.9454   | {'precision': 0.9201573104096331, 'recall': 0.9269910427218392, 'f1-score': 0.9233249745374308, 'support': 33500.0} | {'precision': 0.9453435001186778, 'recall': 0.9454029850746268, 'f1-score': 0.945242324238848, 'support': 33500.0}  |
-| 0.0222        | 14.0  | 1134 | 0.3827          | {'precision': 0.8754231550440081, 'recall': 0.8979166666666667, 'f1-score': 0.8865272540281112, 'support': 1440.0} | {'precision': 0.9557331129172981, 'recall': 0.9641450873210728, 'f1-score': 0.9599206715247671, 'support': 21587.0} | {'precision': 0.9242631270739801, 'recall': 0.9042299245679366, 'f1-score': 0.9141367826632559, 'support': 10473.0} | 0.9426   | {'precision': 0.9184731316784287, 'recall': 0.9220972261852255, 'f1-score': 0.9201949027387114, 'support': 33500.0} | {'precision': 0.9424426203479068, 'recall': 0.9425671641791045, 'f1-score': 0.9424525763235196, 'support': 33500.0} |
-| 0.0222        | 15.0  | 1215 | 0.3902          | {'precision': 0.8868841082581541, 'recall': 0.8875, 'f1-score': 0.8871919472405415, 'support': 1440.0}             | {'precision': 0.9571841585975862, 'recall': 0.9662296752675221, 'f1-score': 0.9616856471022177, 'support': 21587.0} | {'precision': 0.9273470977795092, 'recall': 0.9091950730449728, 'f1-score': 0.9181813798756087, 'support': 10473.0} | 0.9450   | {'precision': 0.9238051215450831, 'recall': 0.920974916104165, 'f1-score': 0.9223529914061226, 'support': 33500.0}  | {'precision': 0.9448344388830637, 'recall': 0.9450149253731344, 'f1-score': 0.944882927148036, 'support': 33500.0}  |
-| 0.0222        | 16.0  | 1296 | 0.4009          | {'precision': 0.8857536132140399, 'recall': 0.89375, 'f1-score': 0.8897338403041825, 'support': 1440.0}            | {'precision': 0.9570693142121713, 'recall': 0.9645620049103627, 'f1-score': 0.9608010520729992, 'support': 21587.0} | {'precision': 0.9240112719852298, 'recall': 0.9079537859257137, 'f1-score': 0.9159121556540166, 'support': 10473.0} | 0.9438   | {'precision': 0.9222780664704805, 'recall': 0.9220885969453588, 'f1-score': 0.9221490160103993, 'support': 33500.0} | {'precision': 0.9436689713560499, 'recall': 0.943820895522388, 'f1-score': 0.9437127476806678, 'support': 33500.0}  |
-| 0.0222        | 17.0  | 1377 | 0.4279          | {'precision': 0.89198606271777, 'recall': 0.8888888888888888, 'f1-score': 0.8904347826086957, 'support': 1440.0}   | {'precision': 0.9589034784611841, 'recall': 0.9641450873210728, 'f1-score': 0.9615171394252979, 'support': 21587.0} | {'precision': 0.9232625482625483, 'recall': 0.9133008689009835, 'f1-score': 0.9182546920750733, 'support': 10473.0} | 0.9450   | {'precision': 0.9247173631471673, 'recall': 0.9221116150369818, 'f1-score': 0.9234022047030224, 'support': 33500.0} | {'precision': 0.9448847160539952, 'recall': 0.9450149253731344, 'f1-score': 0.9449366556964975, 'support': 33500.0} |
-| 0.0222        | 18.0  | 1458 | 0.4226          | {'precision': 0.8846153846153846, 'recall': 0.8944444444444445, 'f1-score': 0.8895027624309393, 'support': 1440.0} | {'precision': 0.9555912007332722, 'recall': 0.9659054060314078, 'f1-score': 0.9607206210979795, 'support': 21587.0} | {'precision': 0.9271322378716745, 'recall': 0.905089277188962, 'f1-score': 0.9159781610861478, 'support': 10473.0}  | 0.9438   | {'precision': 0.9224462744067772, 'recall': 0.9218130425549381, 'f1-score': 0.9220671815383555, 'support': 33500.0} | {'precision': 0.9436432636210552, 'recall': 0.943820895522388, 'f1-score': 0.9436716210924735, 'support': 33500.0}  |
-| 0.0054        | 19.0  | 1539 | 0.4376          | {'precision': 0.8890420399724328, 'recall': 0.8958333333333334, 'f1-score': 0.8924247665167762, 'support': 1440.0} | {'precision': 0.959121387283237, 'recall': 0.9608097466067541, 'f1-score': 0.9599648245857633, 'support': 21587.0}  | {'precision': 0.9179777436684574, 'recall': 0.913682803399217, 'f1-score': 0.9158252380724505, 'support': 10473.0}  | 0.9433   | {'precision': 0.9220470569747091, 'recall': 0.9234419611131015, 'f1-score': 0.9227382763916633, 'support': 33500.0} | {'precision': 0.9432464129636805, 'recall': 0.9432835820895522, 'f1-score': 0.9432623895656658, 'support': 33500.0} |
-| 0.0054        | 20.0  | 1620 | 0.4444          | {'precision': 0.8843258042436687, 'recall': 0.8972222222222223, 'f1-score': 0.8907273354015857, 'support': 1440.0} | {'precision': 0.9520958083832335, 'recall': 0.972251818223931, 'f1-score': 0.9620682542229149, 'support': 21587.0}  | {'precision': 0.9396698349174587, 'recall': 0.8967822018523823, 'f1-score': 0.9177252296267345, 'support': 10473.0} | 0.9454   | {'precision': 0.9253638158481202, 'recall': 0.922085414099512, 'f1-score': 0.9235069397504118, 'support': 33500.0}  | {'precision': 0.9452980165603072, 'recall': 0.9454328358208955, 'f1-score': 0.9451388387095264, 'support': 33500.0} |
-| 0.0054        | 21.0  | 1701 | 0.4363          | {'precision': 0.8784604996623903, 'recall': 0.9034722222222222, 'f1-score': 0.890790825059911, 'support': 1440.0}  | {'precision': 0.9533284764593388, 'recall': 0.9698892852179553, 'f1-score': 0.9615375783600082, 'support': 21587.0} | {'precision': 0.9351695336581486, 'recall': 0.8980234889716414, 'f1-score': 0.9162201656113005, 'support': 10473.0} | 0.9446   | {'precision': 0.9223195032599593, 'recall': 0.9237949988039397, 'f1-score': 0.9228495230104065, 'support': 33500.0} | {'precision': 0.9444332975177129, 'recall': 0.9445671641791045, 'f1-score': 0.9443290831818184, 'support': 33500.0} |
-| 0.0054        | 22.0  | 1782 | 0.3998          | {'precision': 0.8816326530612245, 'recall': 0.9, 'f1-score': 0.8907216494845361, 'support': 1440.0}                | {'precision': 0.9588801399825022, 'recall': 0.9646546532635383, 'f1-score': 0.961758728985775, 'support': 21587.0}  | {'precision': 0.9258217783380199, 'recall': 0.9116776472834909, 'f1-score': 0.9186952756663139, 'support': 10473.0} | 0.9453   | {'precision': 0.9221115237939155, 'recall': 0.925444100182343, 'f1-score': 0.9237252180455416, 'support': 33500.0}  | {'precision': 0.9452247190072991, 'recall': 0.9453134328358209, 'f1-score': 0.9452424023858794, 'support': 33500.0} |
-| 0.0054        | 23.0  | 1863 | 0.4420          | {'precision': 0.8765020026702269, 'recall': 0.9118055555555555, 'f1-score': 0.8938053097345132, 'support': 1440.0} | {'precision': 0.9584770313146641, 'recall': 0.9655811367952934, 'f1-score': 0.9620159689850926, 'support': 21587.0} | {'precision': 0.9284251584592882, 'recall': 0.9090995894204144, 'f1-score': 0.918660748745658, 'support': 10473.0}  | 0.9456   | {'precision': 0.9211347308147264, 'recall': 0.9288287605904211, 'f1-score': 0.9248273424884212, 'support': 33500.0} | {'precision': 0.9455583057725045, 'recall': 0.9456119402985075, 'f1-score': 0.9455299220929005, 'support': 33500.0} |
-| 0.0054        | 24.0  | 1944 | 0.4822          | {'precision': 0.8830290736984449, 'recall': 0.9069444444444444, 'f1-score': 0.89482699554642, 'support': 1440.0}   | {'precision': 0.9544605005242285, 'recall': 0.969935609394543, 'f1-score': 0.962135833103575, 'support': 21587.0}   | {'precision': 0.9362356207854026, 'recall': 0.9014608994557434, 'f1-score': 0.9185192391885975, 'support': 10473.0} | 0.9458   | {'precision': 0.924575065002692, 'recall': 0.9261136510982436, 'f1-score': 0.9251606892795309, 'support': 33500.0}  | {'precision': 0.945692428281427, 'recall': 0.945820895522388, 'f1-score': 0.9456068386512209, 'support': 33500.0}   |
-| 0.0037        | 25.0  | 2025 | 0.4624          | {'precision': 0.8812628689087165, 'recall': 0.8916666666666667, 'f1-score': 0.8864342423196411, 'support': 1440.0} | {'precision': 0.9537320946409775, 'recall': 0.9653958400889424, 'f1-score': 0.9595285234126801, 'support': 21587.0} | {'precision': 0.9255298273155416, 'recall': 0.9006970304592762, 'f1-score': 0.9129445923058311, 'support': 10473.0} | 0.942    | {'precision': 0.9201749302884119, 'recall': 0.9192531790716284, 'f1-score': 0.9196357860127174, 'support': 33500.0} | {'precision': 0.9418002131259403, 'recall': 0.942, 'f1-score': 0.941823171912501, 'support': 33500.0}               |
-| 0.0037        | 26.0  | 2106 | 0.4685          | {'precision': 0.8809201623815968, 'recall': 0.9041666666666667, 'f1-score': 0.892392049348869, 'support': 1440.0}  | {'precision': 0.9556420233463035, 'recall': 0.9670635104461018, 'f1-score': 0.9613188432492171, 'support': 21587.0} | {'precision': 0.9306278864105335, 'recall': 0.904325408192495, 'f1-score': 0.9172881355932202, 'support': 10473.0}  | 0.9447   | {'precision': 0.9223966907128114, 'recall': 0.9251851951017546, 'f1-score': 0.9236663427304355, 'support': 33500.0} | {'precision': 0.9446100073487664, 'recall': 0.9447462686567164, 'f1-score': 0.9445908377418215, 'support': 33500.0} |
-| 0.0037        | 27.0  | 2187 | 0.5011          | {'precision': 0.882111034955449, 'recall': 0.89375, 'f1-score': 0.8878923766816142, 'support': 1440.0}             | {'precision': 0.9467098748762265, 'recall': 0.9743827303469681, 'f1-score': 0.9603469923524712, 'support': 21587.0} | {'precision': 0.943398147205538, 'recall': 0.8848467487825837, 'f1-score': 0.9131848640126133, 'support': 10473.0}  | 0.9429   | {'precision': 0.9240730190124045, 'recall': 0.9176598263765173, 'f1-score': 0.9204747443488995, 'support': 33500.0} | {'precision': 0.9428977538797776, 'recall': 0.9429253731343283, 'f1-score': 0.942488376929505, 'support': 33500.0}  |
-| 0.0037        | 28.0  | 2268 | 0.4657          | {'precision': 0.8817934782608695, 'recall': 0.9013888888888889, 'f1-score': 0.8914835164835164, 'support': 1440.0} | {'precision': 0.9618175053483397, 'recall': 0.9580302960114884, 'f1-score': 0.9599201652393882, 'support': 21587.0} | {'precision': 0.9141174235227056, 'recall': 0.9187434355008116, 'f1-score': 0.9164245916472212, 'support': 10473.0} | 0.9433   | {'precision': 0.919242802377305, 'recall': 0.9260542068003962, 'f1-score': 0.9226094244567086, 'support': 33500.0}  | {'precision': 0.9434653394986137, 'recall': 0.9433134328358209, 'f1-score': 0.9433805259426951, 'support': 33500.0} |
-| 0.0037        | 29.0  | 2349 | 0.4543          | {'precision': 0.8623141564318035, 'recall': 0.9263888888888889, 'f1-score': 0.8932038834951457, 'support': 1440.0} | {'precision': 0.9559099867088318, 'recall': 0.9661833510909343, 'f1-score': 0.9610192139335576, 'support': 21587.0} | {'precision': 0.9318136964673377, 'recall': 0.9016518667048601, 'f1-score': 0.9164846896685592, 'support': 10473.0} | 0.9443   | {'precision': 0.9166792798693243, 'recall': 0.931408035561561, 'f1-score': 0.9235692623657542, 'support': 33500.0}  | {'precision': 0.9443536152670977, 'recall': 0.9442985074626866, 'f1-score': 0.9441814781586727, 'support': 33500.0} |
-| 0.0037        | 30.0  | 2430 | 0.4872          | {'precision': 0.8794373744139317, 'recall': 0.9118055555555555, 'f1-score': 0.8953290146607569, 'support': 1440.0} | {'precision': 0.9528786295269687, 'recall': 0.9714179830453513, 'f1-score': 0.9620589989448088, 'support': 21587.0} | {'precision': 0.9394, 'recall': 0.896973169101499, 'f1-score': 0.9176964782884776, 'support': 10473.0}              | 0.9456   | {'precision': 0.9239053346469669, 'recall': 0.926732235900802, 'f1-score': 0.9250281639646811, 'support': 33500.0}  | {'precision': 0.9455079699926786, 'recall': 0.9455820895522388, 'f1-score': 0.945321689804427, 'support': 33500.0}  |
-| 0.0025        | 31.0  | 2511 | 0.4678          | {'precision': 0.8791581805838425, 'recall': 0.8993055555555556, 'f1-score': 0.8891177480260899, 'support': 1440.0} | {'precision': 0.9535978787601719, 'recall': 0.9662759994441099, 'f1-score': 0.9598950783461034, 'support': 21587.0} | {'precision': 0.9281000689451394, 'recall': 0.8997421942136924, 'f1-score': 0.9137011538834482, 'support': 10473.0} | 0.9426   | {'precision': 0.9202853760963846, 'recall': 0.9217745830711194, 'f1-score': 0.9209046600852139, 'support': 33500.0} | {'precision': 0.9424267824148957, 'recall': 0.9425970149253732, 'f1-score': 0.9424112477025748, 'support': 33500.0} |
-| 0.0025        | 32.0  | 2592 | 0.4877          | {'precision': 0.8766101694915254, 'recall': 0.8979166666666667, 'f1-score': 0.8871355060034306, 'support': 1440.0} | {'precision': 0.9538848263254114, 'recall': 0.966831889563163, 'f1-score': 0.9603147215128719, 'support': 21587.0}  | {'precision': 0.9292262198127156, 'recall': 0.9001241287119259, 'f1-score': 0.9144436899796294, 'support': 10473.0} | 0.9430   | {'precision': 0.9199070718765507, 'recall': 0.9216242283139185, 'f1-score': 0.9206313058319773, 'support': 33500.0} | {'precision': 0.942854226568747, 'recall': 0.9430149253731344, 'f1-score': 0.9428285906597003, 'support': 33500.0}  |
-| 0.0025        | 33.0  | 2673 | 0.4951          | {'precision': 0.8712674187126742, 'recall': 0.9118055555555555, 'f1-score': 0.8910756701730572, 'support': 1440.0} | {'precision': 0.9516713470423046, 'recall': 0.9733172742854496, 'f1-score': 0.9623726096415894, 'support': 21587.0} | {'precision': 0.9435199193141705, 'recall': 0.8932493077437219, 'f1-score': 0.9176966843241121, 'support': 10473.0} | 0.9456   | {'precision': 0.9221528950230496, 'recall': 0.9261240458615757, 'f1-score': 0.9237149880462528, 'support': 33500.0} | {'precision': 0.9456668228813668, 'recall': 0.9456417910447761, 'f1-score': 0.9453410108748842, 'support': 33500.0} |
-| 0.0025        | 34.0  | 2754 | 0.4796          | {'precision': 0.8743351063829787, 'recall': 0.9131944444444444, 'f1-score': 0.8933423913043478, 'support': 1440.0} | {'precision': 0.9546159459952563, 'recall': 0.9695186918052532, 'f1-score': 0.9620096067661051, 'support': 21587.0} | {'precision': 0.9362589356632248, 'recall': 0.9004105795856011, 'f1-score': 0.9179849111706012, 'support': 10473.0} | 0.9455   | {'precision': 0.9217366626804866, 'recall': 0.9277079052784329, 'f1-score': 0.9244456364136847, 'support': 33500.0} | {'precision': 0.9454261735102102, 'recall': 0.9454925373134329, 'f1-score': 0.9452946387888919, 'support': 33500.0} |
-| 0.0025        | 35.0  | 2835 | 0.4806          | {'precision': 0.878213802435724, 'recall': 0.9013888888888889, 'f1-score': 0.8896504455106238, 'support': 1440.0}  | {'precision': 0.9520805917320869, 'recall': 0.9719275489878167, 'f1-score': 0.9619017054832203, 'support': 21587.0} | {'precision': 0.9400100150225338, 'recall': 0.896209300105032, 'f1-score': 0.917587251930785, 'support': 10473.0}   | 0.9452   | {'precision': 0.9234348030634482, 'recall': 0.9231752459939125, 'f1-score': 0.923046467641543, 'support': 33500.0}  | {'precision': 0.9451318357181789, 'recall': 0.9452238805970149, 'f1-score': 0.9449420909633638, 'support': 33500.0} |
-| 0.0025        | 36.0  | 2916 | 0.4833          | {'precision': 0.8815165876777251, 'recall': 0.9041666666666667, 'f1-score': 0.8926979773740144, 'support': 1440.0} | {'precision': 0.9559374714324893, 'recall': 0.9688238291564367, 'f1-score': 0.9623375129414473, 'support': 21587.0} | {'precision': 0.9339576145884673, 'recall': 0.9047073426907285, 'f1-score': 0.9190998156950239, 'support': 10473.0} | 0.946    | {'precision': 0.923803891232894, 'recall': 0.9258992795046107, 'f1-score': 0.9247117686701619, 'support': 33500.0}  | {'precision': 0.9458669904374355, 'recall': 0.946, 'f1-score': 0.9458267865390921, 'support': 33500.0}              |
-| 0.0025        | 37.0  | 2997 | 0.4824          | {'precision': 0.8831967213114754, 'recall': 0.8979166666666667, 'f1-score': 0.8904958677685951, 'support': 1440.0} | {'precision': 0.9560696289509849, 'recall': 0.966831889563163, 'f1-score': 0.9614206416841329, 'support': 21587.0}  | {'precision': 0.9296492259455222, 'recall': 0.9059486298099876, 'f1-score': 0.9176459209826394, 'support': 10473.0} | 0.9448   | {'precision': 0.9229718587359942, 'recall': 0.9235657286799391, 'f1-score': 0.9231874768117891, 'support': 33500.0} | {'precision': 0.9446774537964444, 'recall': 0.9448358208955224, 'f1-score': 0.9446867812559204, 'support': 33500.0} |
-| 0.0016        | 38.0  | 3078 | 0.4953          | {'precision': 0.8720159151193634, 'recall': 0.9131944444444444, 'f1-score': 0.8921302578018996, 'support': 1440.0} | {'precision': 0.9529192772178334, 'recall': 0.9722981424005188, 'f1-score': 0.9625111778598124, 'support': 21587.0} | {'precision': 0.9420028095524784, 'recall': 0.8964002673541488, 'f1-score': 0.9186359410930084, 'support': 10473.0} | 0.9460   | {'precision': 0.9223126672965584, 'recall': 0.9272976180663707, 'f1-score': 0.9244257922515735, 'support': 33500.0} | {'precision': 0.9460288590900406, 'recall': 0.9460298507462687, 'f1-score': 0.9457692710078085, 'support': 33500.0} |
-| 0.0016        | 39.0  | 3159 | 0.4956          | {'precision': 0.8796484110885734, 'recall': 0.9034722222222222, 'f1-score': 0.8914011647824598, 'support': 1440.0} | {'precision': 0.9533817521561507, 'recall': 0.9729466808727475, 'f1-score': 0.9630648600316389, 'support': 21587.0} | {'precision': 0.9421479331398258, 'recall': 0.8987873579681085, 'f1-score': 0.9199569976544176, 'support': 10473.0} | 0.9468   | {'precision': 0.9250593654615167, 'recall': 0.9250687536876927, 'f1-score': 0.9248076741561722, 'support': 33500.0} | {'precision': 0.9467003253592766, 'recall': 0.9467761194029851, 'f1-score': 0.9465077148425208, 'support': 33500.0} |
-| 0.0016        | 40.0  | 3240 | 0.4843          | {'precision': 0.8838315217391305, 'recall': 0.9034722222222222, 'f1-score': 0.8935439560439561, 'support': 1440.0} | {'precision': 0.9541067200874158, 'recall': 0.9707694445731228, 'f1-score': 0.962365961745999, 'support': 21587.0}  | {'precision': 0.9373012718600954, 'recall': 0.9006970304592762, 'f1-score': 0.9186346593952379, 'support': 10473.0} | 0.9460   | {'precision': 0.9250798378955473, 'recall': 0.9249795657515404, 'f1-score': 0.9248481923950643, 'support': 33500.0} | {'precision': 0.9458321008364828, 'recall': 0.9459701492537314, 'f1-score': 0.9457360627092687, 'support': 33500.0} |
-| 0.0016        | 41.0  | 3321 | 0.4890          | {'precision': 0.8825938566552901, 'recall': 0.8979166666666667, 'f1-score': 0.8901893287435455, 'support': 1440.0} | {'precision': 0.9569179784589892, 'recall': 0.9630796312595543, 'f1-score': 0.9599889178768498, 'support': 21587.0} | {'precision': 0.9224949073624988, 'recall': 0.9080492695502721, 'f1-score': 0.915215089981715, 'support': 10473.0}  | 0.9431   | {'precision': 0.920668914158926, 'recall': 0.9230151891588311, 'f1-score': 0.92179777886737, 'support': 33500.0}    | {'precision': 0.942961573712993, 'recall': 0.9430746268656717, 'f1-score': 0.9429910758500526, 'support': 33500.0}  |
-| 0.0016        | 42.0  | 3402 | 0.4932          | {'precision': 0.8835942818243703, 'recall': 0.9013888888888889, 'f1-score': 0.8924028875902373, 'support': 1440.0} | {'precision': 0.9572775350655323, 'recall': 0.9642840598508362, 'f1-score': 0.9607680236314964, 'support': 21587.0} | {'precision': 0.9250437487847559, 'recall': 0.9085266876730641, 'f1-score': 0.9167108242208198, 'support': 10473.0} | 0.9441   | {'precision': 0.9219718552248861, 'recall': 0.9247332121375963, 'f1-score': 0.9232939118141844, 'support': 33500.0} | {'precision': 0.9440331073525219, 'recall': 0.9441492537313433, 'f1-score': 0.9440558789948568, 'support': 33500.0} |
-| 0.0016        | 43.0  | 3483 | 0.4889          | {'precision': 0.8834688346883469, 'recall': 0.9055555555555556, 'f1-score': 0.8943758573388203, 'support': 1440.0} | {'precision': 0.956832554302997, 'recall': 0.9672488071524529, 'f1-score': 0.9620124858900229, 'support': 21587.0}  | {'precision': 0.9311899627524015, 'recall': 0.9070944333046882, 'f1-score': 0.9189842805320435, 'support': 10473.0} | 0.9458   | {'precision': 0.9238304505812485, 'recall': 0.9266329320042322, 'f1-score': 0.9251242079202955, 'support': 33500.0} | {'precision': 0.945662446316296, 'recall': 0.9457910447761194, 'f1-score': 0.945653347387699, 'support': 33500.0}   |
-| 0.0015        | 44.0  | 3564 | 0.4940          | {'precision': 0.8824728260869565, 'recall': 0.9020833333333333, 'f1-score': 0.8921703296703297, 'support': 1440.0} | {'precision': 0.956918282231083, 'recall': 0.9672024829758651, 'f1-score': 0.9620328986776021, 'support': 21587.0}  | {'precision': 0.9309432853364679, 'recall': 0.9074763678029218, 'f1-score': 0.9190600522193212, 'support': 10473.0} | 0.9457   | {'precision': 0.9234447978848358, 'recall': 0.9255873947040402, 'f1-score': 0.9244210935224176, 'support': 33500.0} | {'precision': 0.9455977568781024, 'recall': 0.9457313432835821, 'f1-score': 0.9455953846379588, 'support': 33500.0} |
-| 0.0015        | 45.0  | 3645 | 0.4995          | {'precision': 0.8868438991138378, 'recall': 0.9034722222222222, 'f1-score': 0.8950808393532852, 'support': 1440.0} | {'precision': 0.9556479239939707, 'recall': 0.9691944225691388, 'f1-score': 0.9623735050597976, 'support': 21587.0} | {'precision': 0.9342209072978304, 'recall': 0.9045163754416118, 'f1-score': 0.9191287051860476, 'support': 10473.0} | 0.9461   | {'precision': 0.925570910135213, 'recall': 0.9257276734109908, 'f1-score': 0.92552768319971, 'support': 33500.0}    | {'precision': 0.9459917167794611, 'recall': 0.9461492537313433, 'f1-score': 0.9459614385614344, 'support': 33500.0} |
-| 0.0015        | 46.0  | 3726 | 0.5006          | {'precision': 0.8788694481830417, 'recall': 0.9069444444444444, 'f1-score': 0.8926862611073137, 'support': 1440.0} | {'precision': 0.9524392455567646, 'recall': 0.9731319775790985, 'f1-score': 0.9626744265976216, 'support': 21587.0} | {'precision': 0.9423579031934123, 'recall': 0.8960183328559153, 'f1-score': 0.918604082032206, 'support': 10473.0}  | 0.9462   | {'precision': 0.9245555323110729, 'recall': 0.9253649182931527, 'f1-score': 0.9246549232457139, 'support': 33500.0} | {'precision': 0.9461251438615541, 'recall': 0.9461791044776119, 'f1-score': 0.9458884063904681, 'support': 33500.0} |
-| 0.0015        | 47.0  | 3807 | 0.4959          | {'precision': 0.881596752368065, 'recall': 0.9048611111111111, 'f1-score': 0.8930774503084304, 'support': 1440.0}  | {'precision': 0.9552955158385519, 'recall': 0.9681289665076204, 'f1-score': 0.9616694275722437, 'support': 21587.0} | {'precision': 0.9324790537210449, 'recall': 0.9032750883223527, 'f1-score': 0.9176447764089631, 'support': 10473.0} | 0.9451   | {'precision': 0.9231237739758873, 'recall': 0.9254217219803614, 'f1-score': 0.9241305514298791, 'support': 33500.0} | {'precision': 0.9449945299533534, 'recall': 0.945134328358209, 'f1-score': 0.9449577076052906, 'support': 33500.0}  |
-| 0.0015        | 48.0  | 3888 | 0.4958          | {'precision': 0.8804054054054054, 'recall': 0.9048611111111111, 'f1-score': 0.8924657534246575, 'support': 1440.0} | {'precision': 0.9550356424785231, 'recall': 0.968175290684208, 'f1-score': 0.961560580616963, 'support': 21587.0}   | {'precision': 0.9326164167324388, 'recall': 0.902606702950444, 'f1-score': 0.9173661992333446, 'support': 10473.0}  | 0.9450   | {'precision': 0.9226858215387891, 'recall': 0.9252143682485877, 'f1-score': 0.9237975110916551, 'support': 33500.0} | {'precision': 0.9448188038927311, 'recall': 0.944955223880597, 'f1-score': 0.9447741833815136, 'support': 33500.0}  |
-| 0.0015        | 49.0  | 3969 | 0.4969          | {'precision': 0.8815165876777251, 'recall': 0.9041666666666667, 'f1-score': 0.8926979773740144, 'support': 1440.0} | {'precision': 0.9562766396260141, 'recall': 0.9665539445036364, 'f1-score': 0.9613878265677557, 'support': 21587.0} | {'precision': 0.9295374362994904, 'recall': 0.9056621789363124, 'f1-score': 0.9174445035546742, 'support': 10473.0} | 0.9448   | {'precision': 0.9224435545344098, 'recall': 0.9254609300355385, 'f1-score': 0.923843435832148, 'support': 33500.0}  | {'precision': 0.9447036798873807, 'recall': 0.9448358208955224, 'f1-score': 0.9446973249332784, 'support': 33500.0} |
-| 0.0011        | 50.0  | 4050 | 0.4964          | {'precision': 0.8815165876777251, 'recall': 0.9041666666666667, 'f1-score': 0.8926979773740144, 'support': 1440.0} | {'precision': 0.9563064508734125, 'recall': 0.9662296752675221, 'f1-score': 0.9612424535692888, 'support': 21587.0} | {'precision': 0.9289071680376029, 'recall': 0.9057576625608708, 'f1-score': 0.9171863669325598, 'support': 10473.0} | 0.9447   | {'precision': 0.9222434021962469, 'recall': 0.9253846681650199, 'f1-score': 0.9237089326252876, 'support': 33500.0} | {'precision': 0.9445258511080028, 'recall': 0.9446567164179105, 'f1-score': 0.9445229478657765, 'support': 33500.0} |
 ### Framework versions

       name: essays_su_g
       type: essays_su_g
       config: spans
+      split: train[80%:100%]
       args: spans
     metrics:
     - name: Accuracy
       type: accuracy
+      value: 0.9467033563850972
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the essays_su_g dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.4604
+- B: {'precision': 0.8831908831908832, 'recall': 0.8916586768935763, 'f1-score': 0.8874045801526719, 'support': 1043.0}
+- I: {'precision': 0.9586151553364668, 'recall': 0.9639193083573487, 'f1-score': 0.9612599149327509, 'support': 17350.0}
+- O: {'precision': 0.93125, 'recall': 0.9205506178192066, 'f1-score': 0.9258693993241034, 'support': 9226.0}
+- Accuracy: 0.9467
+- Macro avg: {'precision': 0.92435201284245, 'recall': 0.9253762010233771, 'f1-score': 0.924844631469842, 'support': 27619.0}
+- Weighted avg: {'precision': 0.9466256394603638, 'recall': 0.9467033563850972, 'f1-score': 0.9466488134742982, 'support': 27619.0}
 ## Model description
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | B                                                                                                                  | I                                                                                                                   | O                                                                                                                  | Accuracy | Macro avg                                                                                                           | Weighted avg                                                                                                        |
+|:-------------:|:-----:|:----:|:---------------:|:------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:--------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|
+| No log        | 1.0   | 81   | 0.2048          | {'precision': 0.7901977644024075, 'recall': 0.8811121764141898, 'f1-score': 0.8331822302810515, 'support': 1043.0} | {'precision': 0.9443616777446711, 'recall': 0.9499135446685879, 'f1-score': 0.9471294753175105, 'support': 17350.0} | {'precision': 0.9103731674811195, 'recall': 0.8884673748103187, 'f1-score': 0.8992868897421833, 'support': 9226.0} | 0.9268   | {'precision': 0.8816442032093993, 'recall': 0.9064976986310321, 'f1-score': 0.8931995317802484, 'support': 27619.0} | {'precision': 0.9271861479533134, 'recall': 0.9267895289474637, 'f1-score': 0.9268447919078652, 'support': 27619.0} |
+| No log        | 2.0   | 162  | 0.1657          | {'precision': 0.8806706114398422, 'recall': 0.8561840843720039, 'f1-score': 0.8682547399124939, 'support': 1043.0} | {'precision': 0.9592919333448654, 'recall': 0.9589048991354466, 'f1-score': 0.9590983771942466, 'support': 17350.0} | {'precision': 0.9208594256100194, 'recall': 0.9244526338608281, 'f1-score': 0.9226525313717006, 'support': 9226.0} | 0.9435   | {'precision': 0.9202739901315756, 'recall': 0.9131805391227594, 'f1-score': 0.9166685494928136, 'support': 27619.0} | {'precision': 0.9434846863370583, 'recall': 0.9435171439950758, 'f1-score': 0.9434932036816766, 'support': 27619.0} |
+| No log        | 3.0   | 243  | 0.1539          | {'precision': 0.8625461254612546, 'recall': 0.8964525407478428, 'f1-score': 0.8791725434884815, 'support': 1043.0} | {'precision': 0.9557349825345015, 'recall': 0.9619596541786744, 'f1-score': 0.9588372159825352, 'support': 17350.0} | {'precision': 0.9282407407407407, 'recall': 0.9127465857359636, 'f1-score': 0.9204284621270084, 'support': 9226.0} | 0.9430   | {'precision': 0.9155072829121655, 'recall': 0.9237195935541602, 'f1-score': 0.9194794071993417, 'support': 27619.0} | {'precision': 0.9430314866542512, 'recall': 0.9430464535283681, 'f1-score': 0.9429985029052194, 'support': 27619.0} |
+| No log        | 4.0   | 324  | 0.1980          | {'precision': 0.8572727272727273, 'recall': 0.9041227229146692, 'f1-score': 0.8800746616892207, 'support': 1043.0} | {'precision': 0.9488876212207644, 'recall': 0.9587319884726225, 'f1-score': 0.9537844036697248, 'support': 17350.0} | {'precision': 0.9220157970853265, 'recall': 0.8983308042488619, 'f1-score': 0.9100192149327477, 'support': 9226.0} | 0.9365   | {'precision': 0.9093920485262728, 'recall': 0.9203951718787179, 'f1-score': 0.9146260934305644, 'support': 27619.0} | {'precision': 0.9364514800186444, 'recall': 0.9364929939534379, 'f1-score': 0.9363812792925563, 'support': 27619.0} |
+| No log        | 5.0   | 405  | 0.2007          | {'precision': 0.8847262247838616, 'recall': 0.8830297219558965, 'f1-score': 0.883877159309021, 'support': 1043.0}  | {'precision': 0.9456643513331839, 'recall': 0.9730259365994236, 'f1-score': 0.9591500482927107, 'support': 17350.0} | {'precision': 0.9454503781801513, 'recall': 0.8942120095382614, 'f1-score': 0.9191176470588236, 'support': 9226.0} | 0.9433   | {'precision': 0.9252803180990656, 'recall': 0.9167558893645271, 'f1-score': 0.9207149515535183, 'support': 27619.0} | {'precision': 0.9432916158141273, 'recall': 0.9432999022412107, 'f1-score': 0.9429348139614955, 'support': 27619.0} |
+| No log        | 6.0   | 486  | 0.1657          | {'precision': 0.882186616399623, 'recall': 0.8974113135186961, 'f1-score': 0.8897338403041826, 'support': 1043.0}  | {'precision': 0.9707969272268809, 'recall': 0.954178674351585, 'f1-score': 0.9624160683661308, 'support': 17350.0}  | {'precision': 0.9161493950552341, 'recall': 0.9438543247344461, 'f1-score': 0.9297955261331482, 'support': 9226.0} | 0.9486   | {'precision': 0.9230443128939126, 'recall': 0.9318147708682424, 'f1-score': 0.9273151449344872, 'support': 27619.0} | {'precision': 0.9491959030765336, 'recall': 0.9485861182519281, 'f1-score': 0.9487745648174827, 'support': 27619.0} |
+| 0.1585        | 7.0   | 567  | 0.2591          | {'precision': 0.85, 'recall': 0.912751677852349, 'f1-score': 0.8802588996763754, 'support': 1043.0}                | {'precision': 0.9354661691269275, 'recall': 0.9825360230547551, 'f1-score': 0.958423523458803, 'support': 17350.0}  | {'precision': 0.9664088931851136, 'recall': 0.8668978972469109, 'f1-score': 0.9139526911210146, 'support': 9226.0} | 0.9413   | {'precision': 0.917291687437347, 'recall': 0.9207285327180049, 'f1-score': 0.9175450380853977, 'support': 27619.0}  | {'precision': 0.9425749115781907, 'recall': 0.9412723125384699, 'f1-score': 0.9406164485555297, 'support': 27619.0} |
+| 0.1585        | 8.0   | 648  | 0.2693          | {'precision': 0.84967919340055, 'recall': 0.8887823585810163, 'f1-score': 0.8687910028116214, 'support': 1043.0}   | {'precision': 0.956997878562009, 'recall': 0.9620172910662824, 'f1-score': 0.9595010203788336, 'support': 17350.0}  | {'precision': 0.9282491471332673, 'recall': 0.9142640364188164, 'f1-score': 0.9212035166275324, 'support': 9226.0} | 0.9433   | {'precision': 0.9116420730319422, 'recall': 0.9216878953553717, 'f1-score': 0.9164985132726624, 'support': 27619.0} | {'precision': 0.9433417293609165, 'recall': 0.9432999022412107, 'f1-score': 0.9432823550422136, 'support': 27619.0} |
+| 0.1585        | 9.0   | 729  | 0.3087          | {'precision': 0.8485687903970452, 'recall': 0.8811121764141898, 'f1-score': 0.8645343367826904, 'support': 1043.0} | {'precision': 0.934535260814599, 'recall': 0.9799423631123919, 'f1-score': 0.9567003348057282, 'support': 17350.0}  | {'precision': 0.9586479683567062, 'recall': 0.8668978972469109, 'f1-score': 0.9104673003585861, 'support': 9226.0} | 0.9384   | {'precision': 0.9139173398561168, 'recall': 0.9093174789244975, 'f1-score': 0.910567323982335, 'support': 27619.0}  | {'precision': 0.9393435743356523, 'recall': 0.9384481697382236, 'f1-score': 0.9377758584761231, 'support': 27619.0} |
+| 0.1585        | 10.0  | 810  | 0.2796          | {'precision': 0.897410358565737, 'recall': 0.8638542665388304, 'f1-score': 0.8803126526624329, 'support': 1043.0}  | {'precision': 0.9592919333448654, 'recall': 0.9589048991354466, 'f1-score': 0.9590983771942466, 'support': 17350.0} | {'precision': 0.9197584124245038, 'recall': 0.9243442445263386, 'f1-score': 0.9220456265542221, 'support': 9226.0} | 0.9438   | {'precision': 0.9254869014450354, 'recall': 0.9157011367335386, 'f1-score': 0.9204855521369671, 'support': 27619.0} | {'precision': 0.9437490553802075, 'recall': 0.9437705927079184, 'f1-score': 0.9437458232244597, 'support': 27619.0} |
+| 0.1585        | 11.0  | 891  | 0.3198          | {'precision': 0.8899707887049659, 'recall': 0.8763183125599233, 'f1-score': 0.8830917874396135, 'support': 1043.0} | {'precision': 0.9647182727751448, 'recall': 0.9503170028818444, 'f1-score': 0.9574634882843123, 'support': 17350.0} | {'precision': 0.9067466582465004, 'recall': 0.9337741166269239, 'f1-score': 0.9200619426496501, 'support': 9226.0} | 0.9420   | {'precision': 0.9204785732422037, 'recall': 0.9201364773562305, 'f1-score': 0.9202057394578587, 'support': 27619.0} | {'precision': 0.9425303680165918, 'recall': 0.9419964517180202, 'f1-score': 0.942161111514465, 'support': 27619.0}  |
+| 0.1585        | 12.0  | 972  | 0.3526          | {'precision': 0.8663507109004739, 'recall': 0.8763183125599233, 'f1-score': 0.871306005719733, 'support': 1043.0}  | {'precision': 0.9464205312922107, 'recall': 0.9692219020172911, 'f1-score': 0.9576855173984852, 'support': 17350.0} | {'precision': 0.9386084583901774, 'recall': 0.8948623455451984, 'f1-score': 0.9162135168127844, 'support': 9226.0} | 0.9409   | {'precision': 0.917126566860954, 'recall': 0.9134675200408043, 'f1-score': 0.9150683466436677, 'support': 27619.0}  | {'precision': 0.9407871989028143, 'recall': 0.9408740359897172, 'f1-score': 0.9405699625961891, 'support': 27619.0} |
+| 0.021         | 13.0  | 1053 | 0.3594          | {'precision': 0.875, 'recall': 0.8791946308724832, 'f1-score': 0.877092300334768, 'support': 1043.0}               | {'precision': 0.9486991778353419, 'recall': 0.9710086455331413, 'f1-score': 0.9597242793665263, 'support': 17350.0} | {'precision': 0.9419040054464994, 'recall': 0.8997398655972252, 'f1-score': 0.9203392649259936, 'support': 9226.0} | 0.9437   | {'precision': 0.9218677277606138, 'recall': 0.9166477140009498, 'f1-score': 0.9190519482090961, 'support': 27619.0} | {'precision': 0.9436461164304495, 'recall': 0.943734385748941, 'f1-score': 0.943447393984779, 'support': 27619.0}   |
+| 0.021         | 14.0  | 1134 | 0.3840          | {'precision': 0.8467741935483871, 'recall': 0.9060402684563759, 'f1-score': 0.8754052802223252, 'support': 1043.0} | {'precision': 0.9392880904856953, 'recall': 0.9764265129682997, 'f1-score': 0.9574973153224439, 'support': 17350.0} | {'precision': 0.9539388213062477, 'recall': 0.8754606546715803, 'f1-score': 0.9130164471825015, 'support': 9226.0} | 0.9400   | {'precision': 0.9133337017801101, 'recall': 0.9193091453654186, 'f1-score': 0.9153063475757568, 'support': 27619.0} | {'precision': 0.9406884180878825, 'recall': 0.9400412759332344, 'f1-score': 0.9395385738014427, 'support': 27619.0} |
+| 0.021         | 15.0  | 1215 | 0.3763          | {'precision': 0.8755935422602089, 'recall': 0.8839884947267498, 'f1-score': 0.8797709923664121, 'support': 1043.0} | {'precision': 0.954302299112224, 'recall': 0.9665129682997118, 'f1-score': 0.9603688219460511, 'support': 17350.0}  | {'precision': 0.9346230820547031, 'recall': 0.9111207457186213, 'f1-score': 0.922722283205269, 'support': 9226.0}  | 0.9449   | {'precision': 0.9215063078090453, 'recall': 0.920540736248361, 'f1-score': 0.9209540325059108, 'support': 27619.0}  | {'precision': 0.9447562007752335, 'recall': 0.9448930084362215, 'f1-score': 0.944749483712443, 'support': 27619.0}  |
+| 0.021         | 16.0  | 1296 | 0.3690          | {'precision': 0.8976377952755905, 'recall': 0.8744007670182167, 'f1-score': 0.8858669256920835, 'support': 1043.0} | {'precision': 0.9701351590627397, 'recall': 0.9473775216138328, 'f1-score': 0.9586212929752427, 'support': 17350.0} | {'precision': 0.9027950310559006, 'recall': 0.9452633860828095, 'f1-score': 0.9235412474849094, 'support': 9226.0} | 0.9439   | {'precision': 0.923522661798077, 'recall': 0.922347224904953, 'f1-score': 0.9226764887174118, 'support': 27619.0}   | {'precision': 0.9449027186622512, 'recall': 0.9439154205438285, 'f1-score': 0.9441554794131966, 'support': 27619.0} |
+| 0.021         | 17.0  | 1377 | 0.3570          | {'precision': 0.8867562380038387, 'recall': 0.8859060402684564, 'f1-score': 0.8863309352517986, 'support': 1043.0} | {'precision': 0.9659090909090909, 'recall': 0.9602305475504322, 'f1-score': 0.9630614486386496, 'support': 17350.0} | {'precision': 0.9245363918962375, 'recall': 0.9348580099718188, 'f1-score': 0.9296685529506872, 'support': 9226.0} | 0.9489   | {'precision': 0.9257339069363891, 'recall': 0.9269981992635691, 'f1-score': 0.9263536456137119, 'support': 27619.0} | {'precision': 0.9490996138580476, 'recall': 0.9489481878417032, 'f1-score': 0.9490090650954502, 'support': 27619.0} |
+| 0.021         | 18.0  | 1458 | 0.4152          | {'precision': 0.8671655753040225, 'recall': 0.8887823585810163, 'f1-score': 0.8778409090909091, 'support': 1043.0} | {'precision': 0.9355230471984544, 'recall': 0.9767723342939482, 'f1-score': 0.9557028055829692, 'support': 17350.0} | {'precision': 0.9524599881446354, 'recall': 0.8707999132885325, 'f1-score': 0.9098012570069645, 'support': 9226.0} | 0.9380   | {'precision': 0.9183828702157042, 'recall': 0.9121182020544989, 'f1-score': 0.9144483238936143, 'support': 27619.0} | {'precision': 0.9385993125948691, 'recall': 0.938049893189471, 'f1-score': 0.9374292386470396, 'support': 27619.0}  |
+| 0.0058        | 19.0  | 1539 | 0.3720          | {'precision': 0.8919182083739046, 'recall': 0.87823585810163, 'f1-score': 0.8850241545893719, 'support': 1043.0}   | {'precision': 0.956838628857761, 'recall': 0.9685302593659942, 'f1-score': 0.9626489459211732, 'support': 17350.0}  | {'precision': 0.9375415282392027, 'recall': 0.9176241057879905, 'f1-score': 0.927475898334794, 'support': 9226.0}  | 0.9481   | {'precision': 0.9287661218236227, 'recall': 0.9214634077518715, 'f1-score': 0.9250496662817796, 'support': 27619.0} | {'precision': 0.9479408755404257, 'recall': 0.9481154277852203, 'f1-score': 0.9479681394332119, 'support': 27619.0} |
+| 0.0058        | 20.0  | 1620 | 0.3677          | {'precision': 0.8684957426679281, 'recall': 0.8801534036433365, 'f1-score': 0.8742857142857142, 'support': 1043.0} | {'precision': 0.9469289396996189, 'recall': 0.9738904899135447, 'f1-score': 0.9602204921293401, 'support': 17350.0} | {'precision': 0.9473503097040605, 'recall': 0.8951875135486668, 'f1-score': 0.9205305394560855, 'support': 9226.0} | 0.9441   | {'precision': 0.9209249973572025, 'recall': 0.9164104690351826, 'f1-score': 0.9183455819570466, 'support': 27619.0} | {'precision': 0.9441077562808465, 'recall': 0.9440602483797386, 'f1-score': 0.9437170171065533, 'support': 27619.0} |
+| 0.0058        | 21.0  | 1701 | 0.3749          | {'precision': 0.868252516010979, 'recall': 0.909875359539789, 'f1-score': 0.8885767790262172, 'support': 1043.0}   | {'precision': 0.9537903271531439, 'recall': 0.9695677233429395, 'f1-score': 0.9616143138880155, 'support': 17350.0} | {'precision': 0.9420632242096973, 'recall': 0.9076522870149577, 'f1-score': 0.9245376759591498, 'support': 9226.0} | 0.9466   | {'precision': 0.9213686891246068, 'recall': 0.9290317899658954, 'f1-score': 0.9249095896244609, 'support': 27619.0} | {'precision': 0.9466427045463329, 'recall': 0.9466309424671422, 'f1-score': 0.9464708542988716, 'support': 27619.0} |
+| 0.0058        | 22.0  | 1782 | 0.3899          | {'precision': 0.8754789272030651, 'recall': 0.8763183125599233, 'f1-score': 0.875898418782942, 'support': 1043.0}  | {'precision': 0.9475306911822412, 'recall': 0.9742363112391931, 'f1-score': 0.9606979453806588, 'support': 17350.0} | {'precision': 0.94757326007326, 'recall': 0.897246910903967, 'f1-score': 0.9217236387930074, 'support': 9226.0}    | 0.9448   | {'precision': 0.9235276261528554, 'recall': 0.9159338449010278, 'f1-score': 0.919440000985536, 'support': 27619.0}  | {'precision': 0.9448239585256736, 'recall': 0.9448205945182664, 'f1-score': 0.9444764001104068, 'support': 27619.0} |
+| 0.0058        | 23.0  | 1863 | 0.4506          | {'precision': 0.8712121212121212, 'recall': 0.8820709491850431, 'f1-score': 0.8766079085278704, 'support': 1043.0} | {'precision': 0.9385663638378019, 'recall': 0.9765417867435159, 'f1-score': 0.9571775605897973, 'support': 17350.0} | {'precision': 0.9515920573375631, 'recall': 0.877845220030349, 'f1-score': 0.9132322264193494, 'support': 9226.0}  | 0.9400   | {'precision': 0.9204568474624955, 'recall': 0.9121526519863027, 'f1-score': 0.9156725651790056, 'support': 27619.0} | {'precision': 0.9403739808105457, 'recall': 0.9400050689742568, 'f1-score': 0.939455202786939, 'support': 27619.0}  |
+| 0.0058        | 24.0  | 1944 | 0.4239          | {'precision': 0.8859649122807017, 'recall': 0.8715244487056567, 'f1-score': 0.8786853552440792, 'support': 1043.0} | {'precision': 0.9575452599919023, 'recall': 0.954178674351585, 'f1-score': 0.9558590028580501, 'support': 17350.0}  | {'precision': 0.9121883061049011, 'recall': 0.9199002818122697, 'f1-score': 0.9160280626011873, 'support': 9226.0} | 0.9396   | {'precision': 0.9185661594591683, 'recall': 0.9152011349565038, 'f1-score': 0.9168574735677723, 'support': 27619.0} | {'precision': 0.9396908279261412, 'recall': 0.9396067924255042, 'f1-score': 0.9396392856607877, 'support': 27619.0} |
+| 0.0026        | 25.0  | 2025 | 0.3982          | {'precision': 0.88124410933082, 'recall': 0.8964525407478428, 'f1-score': 0.8887832699619772, 'support': 1043.0}   | {'precision': 0.9556860955857192, 'recall': 0.9658213256484149, 'f1-score': 0.9607269808508199, 'support': 17350.0} | {'precision': 0.9340647163120568, 'recall': 0.9136137004118795, 'f1-score': 0.9237260273972602, 'support': 9226.0} | 0.9458   | {'precision': 0.9236649737428652, 'recall': 0.9252958556027124, 'f1-score': 0.9244120927366858, 'support': 27619.0} | {'precision': 0.9456523566073828, 'recall': 0.9457619754516818, 'f1-score': 0.9456501103261954, 'support': 27619.0} |
+| 0.0026        | 26.0  | 2106 | 0.4067          | {'precision': 0.8740601503759399, 'recall': 0.8916586768935763, 'f1-score': 0.8827717133364974, 'support': 1043.0} | {'precision': 0.9489364103142809, 'recall': 0.9693371757925072, 'f1-score': 0.9590283123770422, 'support': 17350.0} | {'precision': 0.9393115942028986, 'recall': 0.8991979189247779, 'f1-score': 0.9188171447557869, 'support': 9226.0} | 0.9430   | {'precision': 0.9207693849643731, 'recall': 0.9200645905369539, 'f1-score': 0.9202057234897755, 'support': 27619.0} | {'precision': 0.942893668268613, 'recall': 0.9429740396104132, 'f1-score': 0.9427162132687112, 'support': 27619.0}  |
+| 0.0026        | 27.0  | 2187 | 0.4415          | {'precision': 0.8786407766990292, 'recall': 0.8676893576222435, 'f1-score': 0.8731307284129282, 'support': 1043.0} | {'precision': 0.9424291543234028, 'recall': 0.9718155619596541, 'f1-score': 0.9568967963451661, 'support': 17350.0} | {'precision': 0.9418257070590941, 'recall': 0.8879254281378712, 'f1-score': 0.9140816781968311, 'support': 9226.0} | 0.9399   | {'precision': 0.920965212693842, 'recall': 0.9091434492399229, 'f1-score': 0.9147030676516418, 'support': 27619.0}  | {'precision': 0.9398186802902107, 'recall': 0.9398602411383468, 'f1-score': 0.9394312730137688, 'support': 27619.0} |
+| 0.0026        | 28.0  | 2268 | 0.4068          | {'precision': 0.8871745419479267, 'recall': 0.8820709491850431, 'f1-score': 0.8846153846153846, 'support': 1043.0} | {'precision': 0.9559995446265938, 'recall': 0.9680115273775216, 'f1-score': 0.9619680394066098, 'support': 17350.0} | {'precision': 0.9367650321721767, 'recall': 0.9152395404292217, 'f1-score': 0.9258771929824562, 'support': 9226.0} | 0.9471   | {'precision': 0.9266463729155657, 'recall': 0.9217740056639289, 'f1-score': 0.9241535390014834, 'support': 27619.0} | {'precision': 0.9469752465094172, 'recall': 0.9471378398928274, 'f1-score': 0.9469909233612611, 'support': 27619.0} |
+| 0.0026        | 29.0  | 2349 | 0.4006          | {'precision': 0.8782527881040892, 'recall': 0.9060402684563759, 'f1-score': 0.8919301557338367, 'support': 1043.0} | {'precision': 0.9576391652925457, 'recall': 0.9707204610951009, 'f1-score': 0.964135443798838, 'support': 17350.0}  | {'precision': 0.944059848146494, 'recall': 0.9164318231086062, 'f1-score': 0.9300406995930042, 'support': 9226.0}  | 0.9501   | {'precision': 0.9266506005143763, 'recall': 0.9310641842200277, 'f1-score': 0.9287020997085597, 'support': 27619.0} | {'precision': 0.9501051209246456, 'recall': 0.9501430174879612, 'f1-score': 0.9500195009517102, 'support': 27619.0} |
+| 0.0026        | 30.0  | 2430 | 0.4661          | {'precision': 0.8726415094339622, 'recall': 0.8868648130393096, 'f1-score': 0.8796956728483118, 'support': 1043.0} | {'precision': 0.947067399349557, 'recall': 0.9734870317002882, 'f1-score': 0.9600954979536152, 'support': 17350.0}  | {'precision': 0.9477363896848138, 'recall': 0.8962714068935617, 'f1-score': 0.9212857222438862, 'support': 9226.0} | 0.9444   | {'precision': 0.922481766156111, 'recall': 0.9188744172110531, 'f1-score': 0.9203589643486044, 'support': 27619.0}  | {'precision': 0.9444802637418637, 'recall': 0.9444223179695137, 'f1-score': 0.9440950631702127, 'support': 27619.0} |
+| 0.0015        | 31.0  | 2511 | 0.4837          | {'precision': 0.8710900473933649, 'recall': 0.8811121764141898, 'f1-score': 0.8760724499523355, 'support': 1043.0} | {'precision': 0.9430224794124193, 'recall': 0.9768299711815562, 'f1-score': 0.9596285601041844, 'support': 17350.0} | {'precision': 0.953328677839851, 'recall': 0.8878170388033817, 'f1-score': 0.9194073408912335, 'support': 9226.0}  | 0.9435   | {'precision': 0.9224804015485452, 'recall': 0.9152530621330426, 'f1-score': 0.9183694503159178, 'support': 27619.0} | {'precision': 0.9437487714612122, 'recall': 0.9434809370360984, 'f1-score': 0.943037445605214, 'support': 27619.0}  |
+| 0.0015        | 32.0  | 2592 | 0.4702          | {'precision': 0.868421052631579, 'recall': 0.8859060402684564, 'f1-score': 0.8770764119601329, 'support': 1043.0}  | {'precision': 0.9465066726477515, 'recall': 0.9729106628242075, 'f1-score': 0.9595270577535243, 'support': 17350.0} | {'precision': 0.9464510950579063, 'recall': 0.8946455668762194, 'f1-score': 0.919819468434836, 'support': 9226.0}  | 0.9435   | {'precision': 0.9204596067790788, 'recall': 0.9178207566562945, 'f1-score': 0.9188076460494976, 'support': 27619.0} | {'precision': 0.9435392929265168, 'recall': 0.9434809370360984, 'f1-score': 0.943149265559139, 'support': 27619.0}  |
+| 0.0015        | 33.0  | 2673 | 0.4380          | {'precision': 0.8738317757009346, 'recall': 0.8964525407478428, 'f1-score': 0.8849976336961666, 'support': 1043.0} | {'precision': 0.9569585569128896, 'recall': 0.9662247838616714, 'f1-score': 0.9615693472524951, 'support': 17350.0} | {'precision': 0.9359982283246595, 'recall': 0.9162150444396271, 'f1-score': 0.9260009859232076, 'support': 9226.0} | 0.9469   | {'precision': 0.9222628536461612, 'recall': 0.9262974563497138, 'f1-score': 0.9241893222906231, 'support': 27619.0} | {'precision': 0.946817667512148, 'recall': 0.9468843911799848, 'f1-score': 0.9467962563055651, 'support': 27619.0}  |
+| 0.0015        | 34.0  | 2754 | 0.4419          | {'precision': 0.880838894184938, 'recall': 0.8859060402684564, 'f1-score': 0.8833652007648184, 'support': 1043.0}  | {'precision': 0.9541201156921681, 'recall': 0.9696829971181556, 'f1-score': 0.9618386073235572, 'support': 17350.0} | {'precision': 0.9406959829920555, 'recall': 0.9112291350531108, 'f1-score': 0.9257281286131146, 'support': 9226.0} | 0.9470   | {'precision': 0.9252183309563873, 'recall': 0.9222727241465742, 'f1-score': 0.9236439789004968, 'support': 27619.0} | {'precision': 0.9468684642086502, 'recall': 0.9469930120569173, 'f1-score': 0.9468126092923719, 'support': 27619.0} |
+| 0.0015        | 35.0  | 2835 | 0.4607          | {'precision': 0.8798076923076923, 'recall': 0.8772770853307766, 'f1-score': 0.8785405664906385, 'support': 1043.0} | {'precision': 0.945586592178771, 'recall': 0.9755619596541787, 'f1-score': 0.9603404255319149, 'support': 17350.0}  | {'precision': 0.9508007835004033, 'recall': 0.8944287882072404, 'f1-score': 0.9217537000837756, 'support': 9226.0} | 0.9447   | {'precision': 0.9253983559956221, 'recall': 0.9157559443973985, 'f1-score': 0.920211564035443, 'support': 27619.0}  | {'precision': 0.9448443037746955, 'recall': 0.9447481806003114, 'f1-score': 0.9443616289800995, 'support': 27619.0} |
+| 0.0015        | 36.0  | 2916 | 0.4413          | {'precision': 0.8901960784313725, 'recall': 0.8705656759348035, 'f1-score': 0.8802714493456132, 'support': 1043.0} | {'precision': 0.9574089997133849, 'recall': 0.9626512968299712, 'f1-score': 0.9600229918091681, 'support': 17350.0} | {'precision': 0.9270264365304784, 'recall': 0.9197918924777801, 'f1-score': 0.9233949945593034, 'support': 9226.0} | 0.9449   | {'precision': 0.924877171558412, 'recall': 0.9176696217475183, 'f1-score': 0.9212298119046949, 'support': 27619.0}  | {'precision': 0.9447216249053674, 'recall': 0.9448568014772439, 'f1-score': 0.944775851745562, 'support': 27619.0}  |
+| 0.0015        | 37.0  | 2997 | 0.4391          | {'precision': 0.8872832369942196, 'recall': 0.8830297219558965, 'f1-score': 0.8851513695338779, 'support': 1043.0} | {'precision': 0.9576338928856915, 'recall': 0.966685878962536, 'f1-score': 0.9621385956860945, 'support': 17350.0}  | {'precision': 0.9353700231609132, 'recall': 0.9192499458053327, 'f1-score': 0.9272399278412508, 'support': 9226.0} | 0.9477   | {'precision': 0.9267623843469414, 'recall': 0.9229885155745885, 'f1-score': 0.9248432976870743, 'support': 27619.0} | {'precision': 0.9475400373450994, 'recall': 0.9476809442774902, 'f1-score': 0.9475735214106575, 'support': 27619.0} |
+| 0.0012        | 38.0  | 3078 | 0.4364          | {'precision': 0.8781869688385269, 'recall': 0.8916586768935763, 'f1-score': 0.8848715509039011, 'support': 1043.0} | {'precision': 0.9536389977842168, 'recall': 0.9674351585014409, 'f1-score': 0.9604875396984349, 'support': 17350.0} | {'precision': 0.9374930237749749, 'recall': 0.9103620203771949, 'f1-score': 0.9237283475391805, 'support': 9226.0} | 0.9455   | {'precision': 0.9231063301325729, 'recall': 0.9231519519240706, 'f1-score': 0.9230291460471722, 'support': 27619.0} | {'precision': 0.9453961496579408, 'recall': 0.9455085267388392, 'f1-score': 0.9453527490407726, 'support': 27619.0} |
+| 0.0012        | 39.0  | 3159 | 0.4426          | {'precision': 0.8866666666666667, 'recall': 0.8926174496644296, 'f1-score': 0.8896321070234113, 'support': 1043.0} | {'precision': 0.9584571428571429, 'recall': 0.9667435158501441, 'f1-score': 0.9625824964131994, 'support': 17350.0} | {'precision': 0.9358253390671518, 'recall': 0.9199002818122697, 'f1-score': 0.9277944793659471, 'support': 9226.0} | 0.9483   | {'precision': 0.9269830495303205, 'recall': 0.9264204157756145, 'f1-score': 0.9266696942675193, 'support': 27619.0} | {'precision': 0.9481860074636412, 'recall': 0.9482964625801079, 'f1-score': 0.9482068310592221, 'support': 27619.0} |
+| 0.0012        | 40.0  | 3240 | 0.4584          | {'precision': 0.8852772466539197, 'recall': 0.887823585810163, 'f1-score': 0.8865485878410723, 'support': 1043.0}  | {'precision': 0.9512016660100185, 'recall': 0.9740634005763689, 'f1-score': 0.9624967964233846, 'support': 17350.0} | {'precision': 0.9486713604360664, 'recall': 0.905484500325168, 'f1-score': 0.9265749778172139, 'support': 9226.0}  | 0.9479   | {'precision': 0.9283834243666682, 'recall': 0.9224571622372332, 'f1-score': 0.925206787360557, 'support': 27619.0}  | {'precision': 0.947866868638148, 'recall': 0.9478981860313552, 'f1-score': 0.9476291806512029, 'support': 27619.0}  |
+| 0.0012        | 41.0  | 3321 | 0.4565          | {'precision': 0.8815165876777251, 'recall': 0.8916586768935763, 'f1-score': 0.886558627264061, 'support': 1043.0}  | {'precision': 0.9584047537424294, 'recall': 0.9668011527377521, 'f1-score': 0.9625846436359462, 'support': 17350.0} | {'precision': 0.9363275215184286, 'recall': 0.9196835031432907, 'f1-score': 0.927930883639545, 'support': 9226.0}  | 0.9482   | {'precision': 0.9254162876461943, 'recall': 0.9260477775915397, 'f1-score': 0.9256913848465174, 'support': 27619.0} | {'precision': 0.9481263619938463, 'recall': 0.9482240486621528, 'f1-score': 0.9481376786914271, 'support': 27619.0} |
+| 0.0012        | 42.0  | 3402 | 0.4558          | {'precision': 0.8779564806054873, 'recall': 0.8897411313518696, 'f1-score': 0.8838095238095238, 'support': 1043.0} | {'precision': 0.9507137237270991, 'recall': 0.9750432276657061, 'f1-score': 0.9627247894377418, 'support': 17350.0} | {'precision': 0.9507299270072993, 'recall': 0.9035334923043572, 'f1-score': 0.9265310659108592, 'support': 9226.0} | 0.9479   | {'precision': 0.9264667104466285, 'recall': 0.9227726171073108, 'f1-score': 0.9243551263860416, 'support': 27619.0} | {'precision': 0.9479715421451187, 'recall': 0.9479343929903328, 'f1-score': 0.947654297555007, 'support': 27619.0}  |
+| 0.0012        | 43.0  | 3483 | 0.4610          | {'precision': 0.875234521575985, 'recall': 0.8945349952061361, 'f1-score': 0.8847795163584636, 'support': 1043.0}  | {'precision': 0.9506872370266479, 'recall': 0.9767146974063401, 'f1-score': 0.9635252309879175, 'support': 17350.0} | {'precision': 0.9546287809349221, 'recall': 0.9030999349663993, 'f1-score': 0.9281497159407374, 'support': 9226.0} | 0.9490   | {'precision': 0.9268501798458516, 'recall': 0.9247832091929585, 'f1-score': 0.9254848210957062, 'support': 27619.0} | {'precision': 0.949154506003899, 'recall': 0.9490206017596582, 'f1-score': 0.9487344607868312, 'support': 27619.0}  |
+| 0.0008        | 44.0  | 3564 | 0.4501          | {'precision': 0.8805687203791469, 'recall': 0.8906999041227229, 'f1-score': 0.8856053384175404, 'support': 1043.0} | {'precision': 0.9565341070717415, 'recall': 0.9690489913544669, 'f1-score': 0.9627508804077075, 'support': 17350.0} | {'precision': 0.9403582953154557, 'recall': 0.9159982657706481, 'f1-score': 0.9280184483610608, 'support': 9226.0} | 0.9484   | {'precision': 0.9258203742554482, 'recall': 0.9252490537492793, 'f1-score': 0.9254582223954363, 'support': 27619.0} | {'precision': 0.9482619054140469, 'recall': 0.9483688764980629, 'f1-score': 0.9482353578197027, 'support': 27619.0} |
+| 0.0008        | 45.0  | 3645 | 0.4542          | {'precision': 0.8861480075901328, 'recall': 0.8954937679769894, 'f1-score': 0.8907963757749165, 'support': 1043.0} | {'precision': 0.9586123991069895, 'recall': 0.9651873198847263, 'f1-score': 0.9618886240271116, 'support': 17350.0} | {'precision': 0.9334872471416007, 'recall': 0.9203338391502276, 'f1-score': 0.9268638794891386, 'support': 9226.0} | 0.9476   | {'precision': 0.9260825512795744, 'recall': 0.9270049756706479, 'f1-score': 0.9265162930970557, 'support': 27619.0} | {'precision': 0.9474829225732714, 'recall': 0.9475723234005576, 'f1-score': 0.9475040515214316, 'support': 27619.0} |
+| 0.0008        | 46.0  | 3726 | 0.4560          | {'precision': 0.882186616399623, 'recall': 0.8974113135186961, 'f1-score': 0.8897338403041826, 'support': 1043.0}  | {'precision': 0.9587003775311749, 'recall': 0.9659942363112392, 'f1-score': 0.9623334864492421, 'support': 17350.0} | {'precision': 0.9353239312472454, 'recall': 0.9201170604812486, 'f1-score': 0.9276581794339416, 'support': 9226.0} | 0.9481   | {'precision': 0.9254036417260144, 'recall': 0.927840870103728, 'f1-score': 0.926575168729122, 'support': 27619.0}   | {'precision': 0.9480021282724854, 'recall': 0.9480792208262429, 'f1-score': 0.9480087167815329, 'support': 27619.0} |
+| 0.0008        | 47.0  | 3807 | 0.4668          | {'precision': 0.8813559322033898, 'recall': 0.8974113135186961, 'f1-score': 0.8893111638954868, 'support': 1043.0} | {'precision': 0.961000057607005, 'recall': 0.9614985590778098, 'f1-score': 0.9612492437120056, 'support': 17350.0}  | {'precision': 0.9279191128506197, 'recall': 0.925102969867765, 'f1-score': 0.9265089014329135, 'support': 9226.0}  | 0.9469   | {'precision': 0.9234250342203382, 'recall': 0.9280042808214236, 'f1-score': 0.9256897696801353, 'support': 27619.0} | {'precision': 0.9469418506075343, 'recall': 0.9469205981389623, 'f1-score': 0.9469277326103895, 'support': 27619.0} |
+| 0.0008        | 48.0  | 3888 | 0.4643          | {'precision': 0.882186616399623, 'recall': 0.8974113135186961, 'f1-score': 0.8897338403041826, 'support': 1043.0}  | {'precision': 0.9605293440736479, 'recall': 0.9621902017291066, 'f1-score': 0.961359055571552, 'support': 17350.0}  | {'precision': 0.9289605578557419, 'recall': 0.9241274658573596, 'f1-score': 0.9265377091936535, 'support': 9226.0} | 0.9470   | {'precision': 0.9238921727763376, 'recall': 0.9279096603683875, 'f1-score': 0.9258768683564625, 'support': 27619.0} | {'precision': 0.9470254124826993, 'recall': 0.9470292190158949, 'f1-score': 0.947022300395537, 'support': 27619.0}  |
+| 0.0008        | 49.0  | 3969 | 0.4590          | {'precision': 0.8819641170915958, 'recall': 0.8954937679769894, 'f1-score': 0.8886774500475738, 'support': 1043.0} | {'precision': 0.958698516354471, 'recall': 0.9646109510086456, 'f1-score': 0.961645645990749, 'support': 17350.0}   | {'precision': 0.9327694166758211, 'recall': 0.9203338391502276, 'f1-score': 0.9265099023405532, 'support': 9226.0} | 0.9472   | {'precision': 0.9244773500406293, 'recall': 0.9268128527119542, 'f1-score': 0.9256109994596254, 'support': 27619.0} | {'precision': 0.9471392328153709, 'recall': 0.9472102538107824, 'f1-score': 0.9471531517192171, 'support': 27619.0} |
+| 0.0009        | 50.0  | 4050 | 0.4604          | {'precision': 0.8831908831908832, 'recall': 0.8916586768935763, 'f1-score': 0.8874045801526719, 'support': 1043.0} | {'precision': 0.9586151553364668, 'recall': 0.9639193083573487, 'f1-score': 0.9612599149327509, 'support': 17350.0} | {'precision': 0.93125, 'recall': 0.9205506178192066, 'f1-score': 0.9258693993241034, 'support': 9226.0}            | 0.9467   | {'precision': 0.92435201284245, 'recall': 0.9253762010233771, 'f1-score': 0.924844631469842, 'support': 27619.0}    | {'precision': 0.9466256394603638, 'recall': 0.9467033563850972, 'f1-score': 0.9466488134742982, 'support': 27619.0} |
 ### Framework versions

meta_data/README_s42_e50.md CHANGED Viewed

@@ -17,12 +17,12 @@ model-index:
       name: essays_su_g
       type: essays_su_g
       config: spans
-      split: train[60%:80%]
       args: spans
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9446567164179105
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,13 +32,13 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the essays_su_g dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4964
-- B: {'precision': 0.8815165876777251, 'recall': 0.9041666666666667, 'f1-score': 0.8926979773740144, 'support': 1440.0}
-- I: {'precision': 0.9563064508734125, 'recall': 0.9662296752675221, 'f1-score': 0.9612424535692888, 'support': 21587.0}
-- O: {'precision': 0.9289071680376029, 'recall': 0.9057576625608708, 'f1-score': 0.9171863669325598, 'support': 10473.0}
-- Accuracy: 0.9447
-- Macro avg: {'precision': 0.9222434021962469, 'recall': 0.9253846681650199, 'f1-score': 0.9237089326252876, 'support': 33500.0}
-- Weighted avg: {'precision': 0.9445258511080028, 'recall': 0.9446567164179105, 'f1-score': 0.9445229478657765, 'support': 33500.0}
 ## Model description
@@ -67,58 +67,58 @@ The following hyperparameters were used during training:
 ### Training results
-| Training Loss | Epoch | Step | Validation Loss | B                                                                                                                  | I                                                                                                                   | O                                                                                                                   | Accuracy | Macro avg                                                                                                           | Weighted avg                                                                                                        |
-|:-------------:|:-----:|:----:|:---------------:|:------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:--------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|
-| No log        | 1.0   | 81   | 0.3293          | {'precision': 0.7768096514745308, 'recall': 0.8048611111111111, 'f1-score': 0.7905866302864938, 'support': 1440.0} | {'precision': 0.9637593111099372, 'recall': 0.8450919534905267, 'f1-score': 0.9005331227169513, 'support': 21587.0} | {'precision': 0.7463108800367001, 'recall': 0.9320156593144275, 'f1-score': 0.8288892663043479, 'support': 10473.0} | 0.8705   | {'precision': 0.8289599475403894, 'recall': 0.8606562413053552, 'f1-score': 0.8400030064359308, 'support': 33500.0} | {'precision': 0.8877430445874, 'recall': 0.8705373134328358, 'f1-score': 0.8734092702599646, 'support': 33500.0}    |
-| No log        | 2.0   | 162  | 0.2162          | {'precision': 0.8325849903784477, 'recall': 0.9013888888888889, 'f1-score': 0.8656218739579861, 'support': 1440.0} | {'precision': 0.9423736462093862, 'recall': 0.9673877796822161, 'f1-score': 0.9547168948727912, 'support': 21587.0} | {'precision': 0.9332379102341274, 'recall': 0.8715745249689678, 'f1-score': 0.9013528191962081, 'support': 10473.0} | 0.9346   | {'precision': 0.902732182273987, 'recall': 0.9134503978466909, 'f1-score': 0.9072305293423284, 'support': 33500.0}  | {'precision': 0.9347982961417612, 'recall': 0.9345970149253732, 'f1-score': 0.9342040950316517, 'support': 33500.0} |
-| No log        | 3.0   | 243  | 0.2408          | {'precision': 0.8717034925160371, 'recall': 0.8493055555555555, 'f1-score': 0.8603587759409076, 'support': 1440.0} | {'precision': 0.9677057963955188, 'recall': 0.9203224162690509, 'f1-score': 0.9434195218082959, 'support': 21587.0} | {'precision': 0.8459410391631365, 'recall': 0.9343072663038289, 'f1-score': 0.8879310344827586, 'support': 10473.0} | 0.9216   | {'precision': 0.8951167760248975, 'recall': 0.9013117460428117, 'f1-score': 0.8972364440773206, 'support': 33500.0} | {'precision': 0.9255121957960801, 'recall': 0.9216417910447762, 'f1-score': 0.9225019575751797, 'support': 33500.0} |
-| No log        | 4.0   | 324  | 0.2208          | {'precision': 0.8504854368932039, 'recall': 0.9125, 'f1-score': 0.8804020100502512, 'support': 1440.0}             | {'precision': 0.945595388218339, 'recall': 0.9726224116366332, 'f1-score': 0.9589184992350025, 'support': 21587.0}  | {'precision': 0.9427750999897446, 'recall': 0.877780960565263, 'f1-score': 0.9091178797468354, 'support': 10473.0}  | 0.9404   | {'precision': 0.9129519750337626, 'recall': 0.9209677907339654, 'f1-score': 0.9161461296773631, 'support': 33500.0} | {'precision': 0.9406253819936745, 'recall': 0.9403880597014925, 'f1-score': 0.9399744505088647, 'support': 33500.0} |
-| No log        | 5.0   | 405  | 0.2258          | {'precision': 0.8736559139784946, 'recall': 0.9027777777777778, 'f1-score': 0.8879781420765027, 'support': 1440.0} | {'precision': 0.9539317642765919, 'recall': 0.9688238291564367, 'f1-score': 0.9613201259451634, 'support': 21587.0} | {'precision': 0.9334853291038858, 'recall': 0.899169292466342, 'f1-score': 0.916006030835076, 'support': 10473.0}   | 0.9442   | {'precision': 0.9203576691196576, 'recall': 0.9235902998001855, 'f1-score': 0.921768099618914, 'support': 33500.0}  | {'precision': 0.9440889959185916, 'recall': 0.9442089552238806, 'f1-score': 0.9440011117702735, 'support': 33500.0} |
-| No log        | 6.0   | 486  | 0.2242          | {'precision': 0.8803827751196173, 'recall': 0.8944444444444445, 'f1-score': 0.8873579056148813, 'support': 1440.0} | {'precision': 0.9539267015706806, 'recall': 0.9706304720433594, 'f1-score': 0.9622060984570168, 'support': 21587.0} | {'precision': 0.9365567911040509, 'recall': 0.9006970304592762, 'f1-score': 0.9182769530299342, 'support': 10473.0} | 0.9455   | {'precision': 0.923622089264783, 'recall': 0.9219239823156933, 'f1-score': 0.9226136523672773, 'support': 33500.0}  | {'precision': 0.9453351097376493, 'recall': 0.9454925373134329, 'f1-score': 0.945255312255509, 'support': 33500.0}  |
-| 0.1601        | 7.0   | 567  | 0.2252          | {'precision': 0.8730691739422431, 'recall': 0.9027777777777778, 'f1-score': 0.8876749743939911, 'support': 1440.0} | {'precision': 0.9581108451482232, 'recall': 0.9641914114976606, 'f1-score': 0.9611415113943341, 'support': 21587.0} | {'precision': 0.9247594050743657, 'recall': 0.9083357204239473, 'f1-score': 0.9164739884393064, 'support': 10473.0} | 0.9441   | {'precision': 0.9186464747216107, 'recall': 0.9251016365664619, 'f1-score': 0.9217634914092105, 'support': 33500.0} | {'precision': 0.9440287663891153, 'recall': 0.944089552238806, 'f1-score': 0.9440192791200506, 'support': 33500.0}  |
-| 0.1601        | 8.0   | 648  | 0.2487          | {'precision': 0.8740888005301524, 'recall': 0.9159722222222222, 'f1-score': 0.894540522210919, 'support': 1440.0}  | {'precision': 0.9540255968049378, 'recall': 0.9737805160513272, 'f1-score': 0.9638018385639943, 'support': 21587.0} | {'precision': 0.9441598875163202, 'recall': 0.8976415544734078, 'f1-score': 0.9203132648066569, 'support': 10473.0} | 0.9475   | {'precision': 0.9240914282838034, 'recall': 0.9291314309156524, 'f1-score': 0.9262185418605234, 'support': 33500.0} | {'precision': 0.9475052218791054, 'recall': 0.9474925373134329, 'f1-score': 0.947228939205516, 'support': 33500.0}  |
-| 0.1601        | 9.0   | 729  | 0.3045          | {'precision': 0.8643282594308405, 'recall': 0.9069444444444444, 'f1-score': 0.8851236868858015, 'support': 1440.0} | {'precision': 0.9540067462849849, 'recall': 0.9695186918052532, 'f1-score': 0.9617001723147618, 'support': 21587.0} | {'precision': 0.9358272808675754, 'recall': 0.8981189725961998, 'f1-score': 0.9165854609237966, 'support': 10473.0} | 0.9445   | {'precision': 0.9180540955278002, 'recall': 0.9248607029486324, 'f1-score': 0.9211364400414532, 'support': 33500.0} | {'precision': 0.9444685205421044, 'recall': 0.9445074626865672, 'f1-score': 0.9443044555560967, 'support': 33500.0} |
-| 0.1601        | 10.0  | 810  | 0.3263          | {'precision': 0.8695945945945946, 'recall': 0.89375, 'f1-score': 0.8815068493150685, 'support': 1440.0}            | {'precision': 0.9660159757999717, 'recall': 0.9467735211006625, 'f1-score': 0.956297959947595, 'support': 21587.0}  | {'precision': 0.8937678357728068, 'recall': 0.9270505108373914, 'f1-score': 0.9101049868766404, 'support': 10473.0} | 0.9383   | {'precision': 0.909792802055791, 'recall': 0.9225246773126846, 'f1-score': 0.9159699320464346, 'support': 33500.0}  | {'precision': 0.9392845859659347, 'recall': 0.9383283582089552, 'f1-score': 0.9386418940884026, 'support': 33500.0} |
-| 0.1601        | 11.0  | 891  | 0.3124          | {'precision': 0.8831168831168831, 'recall': 0.8972222222222223, 'f1-score': 0.8901136755080951, 'support': 1440.0} | {'precision': 0.9535359970874671, 'recall': 0.9706304720433594, 'f1-score': 0.9620073001078947, 'support': 21587.0} | {'precision': 0.9361025539103647, 'recall': 0.8994557433400172, 'f1-score': 0.917413322945072, 'support': 10473.0}  | 0.9452   | {'precision': 0.9242518113715716, 'recall': 0.922436145868533, 'f1-score': 0.9231780995203539, 'support': 33500.0}  | {'precision': 0.9450588635199616, 'recall': 0.9452238805970149, 'f1-score': 0.9449756719810304, 'support': 33500.0} |
-| 0.1601        | 12.0  | 972  | 0.3427          | {'precision': 0.8661735036987223, 'recall': 0.8944444444444445, 'f1-score': 0.8800819952169457, 'support': 1440.0} | {'precision': 0.9512039692293687, 'recall': 0.9680363181544448, 'f1-score': 0.9595463311598861, 'support': 21587.0} | {'precision': 0.9310035842293907, 'recall': 0.8928673732454884, 'f1-score': 0.9115367743822197, 'support': 10473.0} | 0.9414   | {'precision': 0.9161270190524938, 'recall': 0.9184493786147926, 'f1-score': 0.9170550335863505, 'support': 33500.0} | {'precision': 0.9412337452750731, 'recall': 0.9413731343283582, 'f1-score': 0.9411214734915179, 'support': 33500.0} |
-| 0.0222        | 13.0  | 1053 | 0.3817          | {'precision': 0.8704318936877077, 'recall': 0.9097222222222222, 'f1-score': 0.8896434634974534, 'support': 1440.0} | {'precision': 0.9556591698665204, 'recall': 0.9684532357437347, 'f1-score': 0.9620136667970457, 'support': 21587.0} | {'precision': 0.9343808676746714, 'recall': 0.9027976701995608, 'f1-score': 0.9183177933177933, 'support': 10473.0} | 0.9454   | {'precision': 0.9201573104096331, 'recall': 0.9269910427218392, 'f1-score': 0.9233249745374308, 'support': 33500.0} | {'precision': 0.9453435001186778, 'recall': 0.9454029850746268, 'f1-score': 0.945242324238848, 'support': 33500.0}  |
-| 0.0222        | 14.0  | 1134 | 0.3827          | {'precision': 0.8754231550440081, 'recall': 0.8979166666666667, 'f1-score': 0.8865272540281112, 'support': 1440.0} | {'precision': 0.9557331129172981, 'recall': 0.9641450873210728, 'f1-score': 0.9599206715247671, 'support': 21587.0} | {'precision': 0.9242631270739801, 'recall': 0.9042299245679366, 'f1-score': 0.9141367826632559, 'support': 10473.0} | 0.9426   | {'precision': 0.9184731316784287, 'recall': 0.9220972261852255, 'f1-score': 0.9201949027387114, 'support': 33500.0} | {'precision': 0.9424426203479068, 'recall': 0.9425671641791045, 'f1-score': 0.9424525763235196, 'support': 33500.0} |
-| 0.0222        | 15.0  | 1215 | 0.3902          | {'precision': 0.8868841082581541, 'recall': 0.8875, 'f1-score': 0.8871919472405415, 'support': 1440.0}             | {'precision': 0.9571841585975862, 'recall': 0.9662296752675221, 'f1-score': 0.9616856471022177, 'support': 21587.0} | {'precision': 0.9273470977795092, 'recall': 0.9091950730449728, 'f1-score': 0.9181813798756087, 'support': 10473.0} | 0.9450   | {'precision': 0.9238051215450831, 'recall': 0.920974916104165, 'f1-score': 0.9223529914061226, 'support': 33500.0}  | {'precision': 0.9448344388830637, 'recall': 0.9450149253731344, 'f1-score': 0.944882927148036, 'support': 33500.0}  |
-| 0.0222        | 16.0  | 1296 | 0.4009          | {'precision': 0.8857536132140399, 'recall': 0.89375, 'f1-score': 0.8897338403041825, 'support': 1440.0}            | {'precision': 0.9570693142121713, 'recall': 0.9645620049103627, 'f1-score': 0.9608010520729992, 'support': 21587.0} | {'precision': 0.9240112719852298, 'recall': 0.9079537859257137, 'f1-score': 0.9159121556540166, 'support': 10473.0} | 0.9438   | {'precision': 0.9222780664704805, 'recall': 0.9220885969453588, 'f1-score': 0.9221490160103993, 'support': 33500.0} | {'precision': 0.9436689713560499, 'recall': 0.943820895522388, 'f1-score': 0.9437127476806678, 'support': 33500.0}  |
-| 0.0222        | 17.0  | 1377 | 0.4279          | {'precision': 0.89198606271777, 'recall': 0.8888888888888888, 'f1-score': 0.8904347826086957, 'support': 1440.0}   | {'precision': 0.9589034784611841, 'recall': 0.9641450873210728, 'f1-score': 0.9615171394252979, 'support': 21587.0} | {'precision': 0.9232625482625483, 'recall': 0.9133008689009835, 'f1-score': 0.9182546920750733, 'support': 10473.0} | 0.9450   | {'precision': 0.9247173631471673, 'recall': 0.9221116150369818, 'f1-score': 0.9234022047030224, 'support': 33500.0} | {'precision': 0.9448847160539952, 'recall': 0.9450149253731344, 'f1-score': 0.9449366556964975, 'support': 33500.0} |
-| 0.0222        | 18.0  | 1458 | 0.4226          | {'precision': 0.8846153846153846, 'recall': 0.8944444444444445, 'f1-score': 0.8895027624309393, 'support': 1440.0} | {'precision': 0.9555912007332722, 'recall': 0.9659054060314078, 'f1-score': 0.9607206210979795, 'support': 21587.0} | {'precision': 0.9271322378716745, 'recall': 0.905089277188962, 'f1-score': 0.9159781610861478, 'support': 10473.0}  | 0.9438   | {'precision': 0.9224462744067772, 'recall': 0.9218130425549381, 'f1-score': 0.9220671815383555, 'support': 33500.0} | {'precision': 0.9436432636210552, 'recall': 0.943820895522388, 'f1-score': 0.9436716210924735, 'support': 33500.0}  |
-| 0.0054        | 19.0  | 1539 | 0.4376          | {'precision': 0.8890420399724328, 'recall': 0.8958333333333334, 'f1-score': 0.8924247665167762, 'support': 1440.0} | {'precision': 0.959121387283237, 'recall': 0.9608097466067541, 'f1-score': 0.9599648245857633, 'support': 21587.0}  | {'precision': 0.9179777436684574, 'recall': 0.913682803399217, 'f1-score': 0.9158252380724505, 'support': 10473.0}  | 0.9433   | {'precision': 0.9220470569747091, 'recall': 0.9234419611131015, 'f1-score': 0.9227382763916633, 'support': 33500.0} | {'precision': 0.9432464129636805, 'recall': 0.9432835820895522, 'f1-score': 0.9432623895656658, 'support': 33500.0} |
-| 0.0054        | 20.0  | 1620 | 0.4444          | {'precision': 0.8843258042436687, 'recall': 0.8972222222222223, 'f1-score': 0.8907273354015857, 'support': 1440.0} | {'precision': 0.9520958083832335, 'recall': 0.972251818223931, 'f1-score': 0.9620682542229149, 'support': 21587.0}  | {'precision': 0.9396698349174587, 'recall': 0.8967822018523823, 'f1-score': 0.9177252296267345, 'support': 10473.0} | 0.9454   | {'precision': 0.9253638158481202, 'recall': 0.922085414099512, 'f1-score': 0.9235069397504118, 'support': 33500.0}  | {'precision': 0.9452980165603072, 'recall': 0.9454328358208955, 'f1-score': 0.9451388387095264, 'support': 33500.0} |
-| 0.0054        | 21.0  | 1701 | 0.4363          | {'precision': 0.8784604996623903, 'recall': 0.9034722222222222, 'f1-score': 0.890790825059911, 'support': 1440.0}  | {'precision': 0.9533284764593388, 'recall': 0.9698892852179553, 'f1-score': 0.9615375783600082, 'support': 21587.0} | {'precision': 0.9351695336581486, 'recall': 0.8980234889716414, 'f1-score': 0.9162201656113005, 'support': 10473.0} | 0.9446   | {'precision': 0.9223195032599593, 'recall': 0.9237949988039397, 'f1-score': 0.9228495230104065, 'support': 33500.0} | {'precision': 0.9444332975177129, 'recall': 0.9445671641791045, 'f1-score': 0.9443290831818184, 'support': 33500.0} |
-| 0.0054        | 22.0  | 1782 | 0.3998          | {'precision': 0.8816326530612245, 'recall': 0.9, 'f1-score': 0.8907216494845361, 'support': 1440.0}                | {'precision': 0.9588801399825022, 'recall': 0.9646546532635383, 'f1-score': 0.961758728985775, 'support': 21587.0}  | {'precision': 0.9258217783380199, 'recall': 0.9116776472834909, 'f1-score': 0.9186952756663139, 'support': 10473.0} | 0.9453   | {'precision': 0.9221115237939155, 'recall': 0.925444100182343, 'f1-score': 0.9237252180455416, 'support': 33500.0}  | {'precision': 0.9452247190072991, 'recall': 0.9453134328358209, 'f1-score': 0.9452424023858794, 'support': 33500.0} |
-| 0.0054        | 23.0  | 1863 | 0.4420          | {'precision': 0.8765020026702269, 'recall': 0.9118055555555555, 'f1-score': 0.8938053097345132, 'support': 1440.0} | {'precision': 0.9584770313146641, 'recall': 0.9655811367952934, 'f1-score': 0.9620159689850926, 'support': 21587.0} | {'precision': 0.9284251584592882, 'recall': 0.9090995894204144, 'f1-score': 0.918660748745658, 'support': 10473.0}  | 0.9456   | {'precision': 0.9211347308147264, 'recall': 0.9288287605904211, 'f1-score': 0.9248273424884212, 'support': 33500.0} | {'precision': 0.9455583057725045, 'recall': 0.9456119402985075, 'f1-score': 0.9455299220929005, 'support': 33500.0} |
-| 0.0054        | 24.0  | 1944 | 0.4822          | {'precision': 0.8830290736984449, 'recall': 0.9069444444444444, 'f1-score': 0.89482699554642, 'support': 1440.0}   | {'precision': 0.9544605005242285, 'recall': 0.969935609394543, 'f1-score': 0.962135833103575, 'support': 21587.0}   | {'precision': 0.9362356207854026, 'recall': 0.9014608994557434, 'f1-score': 0.9185192391885975, 'support': 10473.0} | 0.9458   | {'precision': 0.924575065002692, 'recall': 0.9261136510982436, 'f1-score': 0.9251606892795309, 'support': 33500.0}  | {'precision': 0.945692428281427, 'recall': 0.945820895522388, 'f1-score': 0.9456068386512209, 'support': 33500.0}   |
-| 0.0037        | 25.0  | 2025 | 0.4624          | {'precision': 0.8812628689087165, 'recall': 0.8916666666666667, 'f1-score': 0.8864342423196411, 'support': 1440.0} | {'precision': 0.9537320946409775, 'recall': 0.9653958400889424, 'f1-score': 0.9595285234126801, 'support': 21587.0} | {'precision': 0.9255298273155416, 'recall': 0.9006970304592762, 'f1-score': 0.9129445923058311, 'support': 10473.0} | 0.942    | {'precision': 0.9201749302884119, 'recall': 0.9192531790716284, 'f1-score': 0.9196357860127174, 'support': 33500.0} | {'precision': 0.9418002131259403, 'recall': 0.942, 'f1-score': 0.941823171912501, 'support': 33500.0}               |
-| 0.0037        | 26.0  | 2106 | 0.4685          | {'precision': 0.8809201623815968, 'recall': 0.9041666666666667, 'f1-score': 0.892392049348869, 'support': 1440.0}  | {'precision': 0.9556420233463035, 'recall': 0.9670635104461018, 'f1-score': 0.9613188432492171, 'support': 21587.0} | {'precision': 0.9306278864105335, 'recall': 0.904325408192495, 'f1-score': 0.9172881355932202, 'support': 10473.0}  | 0.9447   | {'precision': 0.9223966907128114, 'recall': 0.9251851951017546, 'f1-score': 0.9236663427304355, 'support': 33500.0} | {'precision': 0.9446100073487664, 'recall': 0.9447462686567164, 'f1-score': 0.9445908377418215, 'support': 33500.0} |
-| 0.0037        | 27.0  | 2187 | 0.5011          | {'precision': 0.882111034955449, 'recall': 0.89375, 'f1-score': 0.8878923766816142, 'support': 1440.0}             | {'precision': 0.9467098748762265, 'recall': 0.9743827303469681, 'f1-score': 0.9603469923524712, 'support': 21587.0} | {'precision': 0.943398147205538, 'recall': 0.8848467487825837, 'f1-score': 0.9131848640126133, 'support': 10473.0}  | 0.9429   | {'precision': 0.9240730190124045, 'recall': 0.9176598263765173, 'f1-score': 0.9204747443488995, 'support': 33500.0} | {'precision': 0.9428977538797776, 'recall': 0.9429253731343283, 'f1-score': 0.942488376929505, 'support': 33500.0}  |
-| 0.0037        | 28.0  | 2268 | 0.4657          | {'precision': 0.8817934782608695, 'recall': 0.9013888888888889, 'f1-score': 0.8914835164835164, 'support': 1440.0} | {'precision': 0.9618175053483397, 'recall': 0.9580302960114884, 'f1-score': 0.9599201652393882, 'support': 21587.0} | {'precision': 0.9141174235227056, 'recall': 0.9187434355008116, 'f1-score': 0.9164245916472212, 'support': 10473.0} | 0.9433   | {'precision': 0.919242802377305, 'recall': 0.9260542068003962, 'f1-score': 0.9226094244567086, 'support': 33500.0}  | {'precision': 0.9434653394986137, 'recall': 0.9433134328358209, 'f1-score': 0.9433805259426951, 'support': 33500.0} |
-| 0.0037        | 29.0  | 2349 | 0.4543          | {'precision': 0.8623141564318035, 'recall': 0.9263888888888889, 'f1-score': 0.8932038834951457, 'support': 1440.0} | {'precision': 0.9559099867088318, 'recall': 0.9661833510909343, 'f1-score': 0.9610192139335576, 'support': 21587.0} | {'precision': 0.9318136964673377, 'recall': 0.9016518667048601, 'f1-score': 0.9164846896685592, 'support': 10473.0} | 0.9443   | {'precision': 0.9166792798693243, 'recall': 0.931408035561561, 'f1-score': 0.9235692623657542, 'support': 33500.0}  | {'precision': 0.9443536152670977, 'recall': 0.9442985074626866, 'f1-score': 0.9441814781586727, 'support': 33500.0} |
-| 0.0037        | 30.0  | 2430 | 0.4872          | {'precision': 0.8794373744139317, 'recall': 0.9118055555555555, 'f1-score': 0.8953290146607569, 'support': 1440.0} | {'precision': 0.9528786295269687, 'recall': 0.9714179830453513, 'f1-score': 0.9620589989448088, 'support': 21587.0} | {'precision': 0.9394, 'recall': 0.896973169101499, 'f1-score': 0.9176964782884776, 'support': 10473.0}              | 0.9456   | {'precision': 0.9239053346469669, 'recall': 0.926732235900802, 'f1-score': 0.9250281639646811, 'support': 33500.0}  | {'precision': 0.9455079699926786, 'recall': 0.9455820895522388, 'f1-score': 0.945321689804427, 'support': 33500.0}  |
-| 0.0025        | 31.0  | 2511 | 0.4678          | {'precision': 0.8791581805838425, 'recall': 0.8993055555555556, 'f1-score': 0.8891177480260899, 'support': 1440.0} | {'precision': 0.9535978787601719, 'recall': 0.9662759994441099, 'f1-score': 0.9598950783461034, 'support': 21587.0} | {'precision': 0.9281000689451394, 'recall': 0.8997421942136924, 'f1-score': 0.9137011538834482, 'support': 10473.0} | 0.9426   | {'precision': 0.9202853760963846, 'recall': 0.9217745830711194, 'f1-score': 0.9209046600852139, 'support': 33500.0} | {'precision': 0.9424267824148957, 'recall': 0.9425970149253732, 'f1-score': 0.9424112477025748, 'support': 33500.0} |
-| 0.0025        | 32.0  | 2592 | 0.4877          | {'precision': 0.8766101694915254, 'recall': 0.8979166666666667, 'f1-score': 0.8871355060034306, 'support': 1440.0} | {'precision': 0.9538848263254114, 'recall': 0.966831889563163, 'f1-score': 0.9603147215128719, 'support': 21587.0}  | {'precision': 0.9292262198127156, 'recall': 0.9001241287119259, 'f1-score': 0.9144436899796294, 'support': 10473.0} | 0.9430   | {'precision': 0.9199070718765507, 'recall': 0.9216242283139185, 'f1-score': 0.9206313058319773, 'support': 33500.0} | {'precision': 0.942854226568747, 'recall': 0.9430149253731344, 'f1-score': 0.9428285906597003, 'support': 33500.0}  |
-| 0.0025        | 33.0  | 2673 | 0.4951          | {'precision': 0.8712674187126742, 'recall': 0.9118055555555555, 'f1-score': 0.8910756701730572, 'support': 1440.0} | {'precision': 0.9516713470423046, 'recall': 0.9733172742854496, 'f1-score': 0.9623726096415894, 'support': 21587.0} | {'precision': 0.9435199193141705, 'recall': 0.8932493077437219, 'f1-score': 0.9176966843241121, 'support': 10473.0} | 0.9456   | {'precision': 0.9221528950230496, 'recall': 0.9261240458615757, 'f1-score': 0.9237149880462528, 'support': 33500.0} | {'precision': 0.9456668228813668, 'recall': 0.9456417910447761, 'f1-score': 0.9453410108748842, 'support': 33500.0} |
-| 0.0025        | 34.0  | 2754 | 0.4796          | {'precision': 0.8743351063829787, 'recall': 0.9131944444444444, 'f1-score': 0.8933423913043478, 'support': 1440.0} | {'precision': 0.9546159459952563, 'recall': 0.9695186918052532, 'f1-score': 0.9620096067661051, 'support': 21587.0} | {'precision': 0.9362589356632248, 'recall': 0.9004105795856011, 'f1-score': 0.9179849111706012, 'support': 10473.0} | 0.9455   | {'precision': 0.9217366626804866, 'recall': 0.9277079052784329, 'f1-score': 0.9244456364136847, 'support': 33500.0} | {'precision': 0.9454261735102102, 'recall': 0.9454925373134329, 'f1-score': 0.9452946387888919, 'support': 33500.0} |
-| 0.0025        | 35.0  | 2835 | 0.4806          | {'precision': 0.878213802435724, 'recall': 0.9013888888888889, 'f1-score': 0.8896504455106238, 'support': 1440.0}  | {'precision': 0.9520805917320869, 'recall': 0.9719275489878167, 'f1-score': 0.9619017054832203, 'support': 21587.0} | {'precision': 0.9400100150225338, 'recall': 0.896209300105032, 'f1-score': 0.917587251930785, 'support': 10473.0}   | 0.9452   | {'precision': 0.9234348030634482, 'recall': 0.9231752459939125, 'f1-score': 0.923046467641543, 'support': 33500.0}  | {'precision': 0.9451318357181789, 'recall': 0.9452238805970149, 'f1-score': 0.9449420909633638, 'support': 33500.0} |
-| 0.0025        | 36.0  | 2916 | 0.4833          | {'precision': 0.8815165876777251, 'recall': 0.9041666666666667, 'f1-score': 0.8926979773740144, 'support': 1440.0} | {'precision': 0.9559374714324893, 'recall': 0.9688238291564367, 'f1-score': 0.9623375129414473, 'support': 21587.0} | {'precision': 0.9339576145884673, 'recall': 0.9047073426907285, 'f1-score': 0.9190998156950239, 'support': 10473.0} | 0.946    | {'precision': 0.923803891232894, 'recall': 0.9258992795046107, 'f1-score': 0.9247117686701619, 'support': 33500.0}  | {'precision': 0.9458669904374355, 'recall': 0.946, 'f1-score': 0.9458267865390921, 'support': 33500.0}              |
-| 0.0025        | 37.0  | 2997 | 0.4824          | {'precision': 0.8831967213114754, 'recall': 0.8979166666666667, 'f1-score': 0.8904958677685951, 'support': 1440.0} | {'precision': 0.9560696289509849, 'recall': 0.966831889563163, 'f1-score': 0.9614206416841329, 'support': 21587.0}  | {'precision': 0.9296492259455222, 'recall': 0.9059486298099876, 'f1-score': 0.9176459209826394, 'support': 10473.0} | 0.9448   | {'precision': 0.9229718587359942, 'recall': 0.9235657286799391, 'f1-score': 0.9231874768117891, 'support': 33500.0} | {'precision': 0.9446774537964444, 'recall': 0.9448358208955224, 'f1-score': 0.9446867812559204, 'support': 33500.0} |
-| 0.0016        | 38.0  | 3078 | 0.4953          | {'precision': 0.8720159151193634, 'recall': 0.9131944444444444, 'f1-score': 0.8921302578018996, 'support': 1440.0} | {'precision': 0.9529192772178334, 'recall': 0.9722981424005188, 'f1-score': 0.9625111778598124, 'support': 21587.0} | {'precision': 0.9420028095524784, 'recall': 0.8964002673541488, 'f1-score': 0.9186359410930084, 'support': 10473.0} | 0.9460   | {'precision': 0.9223126672965584, 'recall': 0.9272976180663707, 'f1-score': 0.9244257922515735, 'support': 33500.0} | {'precision': 0.9460288590900406, 'recall': 0.9460298507462687, 'f1-score': 0.9457692710078085, 'support': 33500.0} |
-| 0.0016        | 39.0  | 3159 | 0.4956          | {'precision': 0.8796484110885734, 'recall': 0.9034722222222222, 'f1-score': 0.8914011647824598, 'support': 1440.0} | {'precision': 0.9533817521561507, 'recall': 0.9729466808727475, 'f1-score': 0.9630648600316389, 'support': 21587.0} | {'precision': 0.9421479331398258, 'recall': 0.8987873579681085, 'f1-score': 0.9199569976544176, 'support': 10473.0} | 0.9468   | {'precision': 0.9250593654615167, 'recall': 0.9250687536876927, 'f1-score': 0.9248076741561722, 'support': 33500.0} | {'precision': 0.9467003253592766, 'recall': 0.9467761194029851, 'f1-score': 0.9465077148425208, 'support': 33500.0} |
-| 0.0016        | 40.0  | 3240 | 0.4843          | {'precision': 0.8838315217391305, 'recall': 0.9034722222222222, 'f1-score': 0.8935439560439561, 'support': 1440.0} | {'precision': 0.9541067200874158, 'recall': 0.9707694445731228, 'f1-score': 0.962365961745999, 'support': 21587.0}  | {'precision': 0.9373012718600954, 'recall': 0.9006970304592762, 'f1-score': 0.9186346593952379, 'support': 10473.0} | 0.9460   | {'precision': 0.9250798378955473, 'recall': 0.9249795657515404, 'f1-score': 0.9248481923950643, 'support': 33500.0} | {'precision': 0.9458321008364828, 'recall': 0.9459701492537314, 'f1-score': 0.9457360627092687, 'support': 33500.0} |
-| 0.0016        | 41.0  | 3321 | 0.4890          | {'precision': 0.8825938566552901, 'recall': 0.8979166666666667, 'f1-score': 0.8901893287435455, 'support': 1440.0} | {'precision': 0.9569179784589892, 'recall': 0.9630796312595543, 'f1-score': 0.9599889178768498, 'support': 21587.0} | {'precision': 0.9224949073624988, 'recall': 0.9080492695502721, 'f1-score': 0.915215089981715, 'support': 10473.0}  | 0.9431   | {'precision': 0.920668914158926, 'recall': 0.9230151891588311, 'f1-score': 0.92179777886737, 'support': 33500.0}    | {'precision': 0.942961573712993, 'recall': 0.9430746268656717, 'f1-score': 0.9429910758500526, 'support': 33500.0}  |
-| 0.0016        | 42.0  | 3402 | 0.4932          | {'precision': 0.8835942818243703, 'recall': 0.9013888888888889, 'f1-score': 0.8924028875902373, 'support': 1440.0} | {'precision': 0.9572775350655323, 'recall': 0.9642840598508362, 'f1-score': 0.9607680236314964, 'support': 21587.0} | {'precision': 0.9250437487847559, 'recall': 0.9085266876730641, 'f1-score': 0.9167108242208198, 'support': 10473.0} | 0.9441   | {'precision': 0.9219718552248861, 'recall': 0.9247332121375963, 'f1-score': 0.9232939118141844, 'support': 33500.0} | {'precision': 0.9440331073525219, 'recall': 0.9441492537313433, 'f1-score': 0.9440558789948568, 'support': 33500.0} |
-| 0.0016        | 43.0  | 3483 | 0.4889          | {'precision': 0.8834688346883469, 'recall': 0.9055555555555556, 'f1-score': 0.8943758573388203, 'support': 1440.0} | {'precision': 0.956832554302997, 'recall': 0.9672488071524529, 'f1-score': 0.9620124858900229, 'support': 21587.0}  | {'precision': 0.9311899627524015, 'recall': 0.9070944333046882, 'f1-score': 0.9189842805320435, 'support': 10473.0} | 0.9458   | {'precision': 0.9238304505812485, 'recall': 0.9266329320042322, 'f1-score': 0.9251242079202955, 'support': 33500.0} | {'precision': 0.945662446316296, 'recall': 0.9457910447761194, 'f1-score': 0.945653347387699, 'support': 33500.0}   |
-| 0.0015        | 44.0  | 3564 | 0.4940          | {'precision': 0.8824728260869565, 'recall': 0.9020833333333333, 'f1-score': 0.8921703296703297, 'support': 1440.0} | {'precision': 0.956918282231083, 'recall': 0.9672024829758651, 'f1-score': 0.9620328986776021, 'support': 21587.0}  | {'precision': 0.9309432853364679, 'recall': 0.9074763678029218, 'f1-score': 0.9190600522193212, 'support': 10473.0} | 0.9457   | {'precision': 0.9234447978848358, 'recall': 0.9255873947040402, 'f1-score': 0.9244210935224176, 'support': 33500.0} | {'precision': 0.9455977568781024, 'recall': 0.9457313432835821, 'f1-score': 0.9455953846379588, 'support': 33500.0} |
-| 0.0015        | 45.0  | 3645 | 0.4995          | {'precision': 0.8868438991138378, 'recall': 0.9034722222222222, 'f1-score': 0.8950808393532852, 'support': 1440.0} | {'precision': 0.9556479239939707, 'recall': 0.9691944225691388, 'f1-score': 0.9623735050597976, 'support': 21587.0} | {'precision': 0.9342209072978304, 'recall': 0.9045163754416118, 'f1-score': 0.9191287051860476, 'support': 10473.0} | 0.9461   | {'precision': 0.925570910135213, 'recall': 0.9257276734109908, 'f1-score': 0.92552768319971, 'support': 33500.0}    | {'precision': 0.9459917167794611, 'recall': 0.9461492537313433, 'f1-score': 0.9459614385614344, 'support': 33500.0} |
-| 0.0015        | 46.0  | 3726 | 0.5006          | {'precision': 0.8788694481830417, 'recall': 0.9069444444444444, 'f1-score': 0.8926862611073137, 'support': 1440.0} | {'precision': 0.9524392455567646, 'recall': 0.9731319775790985, 'f1-score': 0.9626744265976216, 'support': 21587.0} | {'precision': 0.9423579031934123, 'recall': 0.8960183328559153, 'f1-score': 0.918604082032206, 'support': 10473.0}  | 0.9462   | {'precision': 0.9245555323110729, 'recall': 0.9253649182931527, 'f1-score': 0.9246549232457139, 'support': 33500.0} | {'precision': 0.9461251438615541, 'recall': 0.9461791044776119, 'f1-score': 0.9458884063904681, 'support': 33500.0} |
-| 0.0015        | 47.0  | 3807 | 0.4959          | {'precision': 0.881596752368065, 'recall': 0.9048611111111111, 'f1-score': 0.8930774503084304, 'support': 1440.0}  | {'precision': 0.9552955158385519, 'recall': 0.9681289665076204, 'f1-score': 0.9616694275722437, 'support': 21587.0} | {'precision': 0.9324790537210449, 'recall': 0.9032750883223527, 'f1-score': 0.9176447764089631, 'support': 10473.0} | 0.9451   | {'precision': 0.9231237739758873, 'recall': 0.9254217219803614, 'f1-score': 0.9241305514298791, 'support': 33500.0} | {'precision': 0.9449945299533534, 'recall': 0.945134328358209, 'f1-score': 0.9449577076052906, 'support': 33500.0}  |
-| 0.0015        | 48.0  | 3888 | 0.4958          | {'precision': 0.8804054054054054, 'recall': 0.9048611111111111, 'f1-score': 0.8924657534246575, 'support': 1440.0} | {'precision': 0.9550356424785231, 'recall': 0.968175290684208, 'f1-score': 0.961560580616963, 'support': 21587.0}   | {'precision': 0.9326164167324388, 'recall': 0.902606702950444, 'f1-score': 0.9173661992333446, 'support': 10473.0}  | 0.9450   | {'precision': 0.9226858215387891, 'recall': 0.9252143682485877, 'f1-score': 0.9237975110916551, 'support': 33500.0} | {'precision': 0.9448188038927311, 'recall': 0.944955223880597, 'f1-score': 0.9447741833815136, 'support': 33500.0}  |
-| 0.0015        | 49.0  | 3969 | 0.4969          | {'precision': 0.8815165876777251, 'recall': 0.9041666666666667, 'f1-score': 0.8926979773740144, 'support': 1440.0} | {'precision': 0.9562766396260141, 'recall': 0.9665539445036364, 'f1-score': 0.9613878265677557, 'support': 21587.0} | {'precision': 0.9295374362994904, 'recall': 0.9056621789363124, 'f1-score': 0.9174445035546742, 'support': 10473.0} | 0.9448   | {'precision': 0.9224435545344098, 'recall': 0.9254609300355385, 'f1-score': 0.923843435832148, 'support': 33500.0}  | {'precision': 0.9447036798873807, 'recall': 0.9448358208955224, 'f1-score': 0.9446973249332784, 'support': 33500.0} |
-| 0.0011        | 50.0  | 4050 | 0.4964          | {'precision': 0.8815165876777251, 'recall': 0.9041666666666667, 'f1-score': 0.8926979773740144, 'support': 1440.0} | {'precision': 0.9563064508734125, 'recall': 0.9662296752675221, 'f1-score': 0.9612424535692888, 'support': 21587.0} | {'precision': 0.9289071680376029, 'recall': 0.9057576625608708, 'f1-score': 0.9171863669325598, 'support': 10473.0} | 0.9447   | {'precision': 0.9222434021962469, 'recall': 0.9253846681650199, 'f1-score': 0.9237089326252876, 'support': 33500.0} | {'precision': 0.9445258511080028, 'recall': 0.9446567164179105, 'f1-score': 0.9445229478657765, 'support': 33500.0} |
 ### Framework versions

       name: essays_su_g
       type: essays_su_g
       config: spans
+      split: train[80%:100%]
       args: spans
     metrics:
     - name: Accuracy
       type: accuracy
+      value: 0.9467033563850972
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the essays_su_g dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.4604
+- B: {'precision': 0.8831908831908832, 'recall': 0.8916586768935763, 'f1-score': 0.8874045801526719, 'support': 1043.0}
+- I: {'precision': 0.9586151553364668, 'recall': 0.9639193083573487, 'f1-score': 0.9612599149327509, 'support': 17350.0}
+- O: {'precision': 0.93125, 'recall': 0.9205506178192066, 'f1-score': 0.9258693993241034, 'support': 9226.0}
+- Accuracy: 0.9467
+- Macro avg: {'precision': 0.92435201284245, 'recall': 0.9253762010233771, 'f1-score': 0.924844631469842, 'support': 27619.0}
+- Weighted avg: {'precision': 0.9466256394603638, 'recall': 0.9467033563850972, 'f1-score': 0.9466488134742982, 'support': 27619.0}
 ## Model description
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | B                                                                                                                  | I                                                                                                                   | O                                                                                                                  | Accuracy | Macro avg                                                                                                           | Weighted avg                                                                                                        |
+|:-------------:|:-----:|:----:|:---------------:|:------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:--------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|
+| No log        | 1.0   | 81   | 0.2048          | {'precision': 0.7901977644024075, 'recall': 0.8811121764141898, 'f1-score': 0.8331822302810515, 'support': 1043.0} | {'precision': 0.9443616777446711, 'recall': 0.9499135446685879, 'f1-score': 0.9471294753175105, 'support': 17350.0} | {'precision': 0.9103731674811195, 'recall': 0.8884673748103187, 'f1-score': 0.8992868897421833, 'support': 9226.0} | 0.9268   | {'precision': 0.8816442032093993, 'recall': 0.9064976986310321, 'f1-score': 0.8931995317802484, 'support': 27619.0} | {'precision': 0.9271861479533134, 'recall': 0.9267895289474637, 'f1-score': 0.9268447919078652, 'support': 27619.0} |
+| No log        | 2.0   | 162  | 0.1657          | {'precision': 0.8806706114398422, 'recall': 0.8561840843720039, 'f1-score': 0.8682547399124939, 'support': 1043.0} | {'precision': 0.9592919333448654, 'recall': 0.9589048991354466, 'f1-score': 0.9590983771942466, 'support': 17350.0} | {'precision': 0.9208594256100194, 'recall': 0.9244526338608281, 'f1-score': 0.9226525313717006, 'support': 9226.0} | 0.9435   | {'precision': 0.9202739901315756, 'recall': 0.9131805391227594, 'f1-score': 0.9166685494928136, 'support': 27619.0} | {'precision': 0.9434846863370583, 'recall': 0.9435171439950758, 'f1-score': 0.9434932036816766, 'support': 27619.0} |
+| No log        | 3.0   | 243  | 0.1539          | {'precision': 0.8625461254612546, 'recall': 0.8964525407478428, 'f1-score': 0.8791725434884815, 'support': 1043.0} | {'precision': 0.9557349825345015, 'recall': 0.9619596541786744, 'f1-score': 0.9588372159825352, 'support': 17350.0} | {'precision': 0.9282407407407407, 'recall': 0.9127465857359636, 'f1-score': 0.9204284621270084, 'support': 9226.0} | 0.9430   | {'precision': 0.9155072829121655, 'recall': 0.9237195935541602, 'f1-score': 0.9194794071993417, 'support': 27619.0} | {'precision': 0.9430314866542512, 'recall': 0.9430464535283681, 'f1-score': 0.9429985029052194, 'support': 27619.0} |
+| No log        | 4.0   | 324  | 0.1980          | {'precision': 0.8572727272727273, 'recall': 0.9041227229146692, 'f1-score': 0.8800746616892207, 'support': 1043.0} | {'precision': 0.9488876212207644, 'recall': 0.9587319884726225, 'f1-score': 0.9537844036697248, 'support': 17350.0} | {'precision': 0.9220157970853265, 'recall': 0.8983308042488619, 'f1-score': 0.9100192149327477, 'support': 9226.0} | 0.9365   | {'precision': 0.9093920485262728, 'recall': 0.9203951718787179, 'f1-score': 0.9146260934305644, 'support': 27619.0} | {'precision': 0.9364514800186444, 'recall': 0.9364929939534379, 'f1-score': 0.9363812792925563, 'support': 27619.0} |
+| No log        | 5.0   | 405  | 0.2007          | {'precision': 0.8847262247838616, 'recall': 0.8830297219558965, 'f1-score': 0.883877159309021, 'support': 1043.0}  | {'precision': 0.9456643513331839, 'recall': 0.9730259365994236, 'f1-score': 0.9591500482927107, 'support': 17350.0} | {'precision': 0.9454503781801513, 'recall': 0.8942120095382614, 'f1-score': 0.9191176470588236, 'support': 9226.0} | 0.9433   | {'precision': 0.9252803180990656, 'recall': 0.9167558893645271, 'f1-score': 0.9207149515535183, 'support': 27619.0} | {'precision': 0.9432916158141273, 'recall': 0.9432999022412107, 'f1-score': 0.9429348139614955, 'support': 27619.0} |
+| No log        | 6.0   | 486  | 0.1657          | {'precision': 0.882186616399623, 'recall': 0.8974113135186961, 'f1-score': 0.8897338403041826, 'support': 1043.0}  | {'precision': 0.9707969272268809, 'recall': 0.954178674351585, 'f1-score': 0.9624160683661308, 'support': 17350.0}  | {'precision': 0.9161493950552341, 'recall': 0.9438543247344461, 'f1-score': 0.9297955261331482, 'support': 9226.0} | 0.9486   | {'precision': 0.9230443128939126, 'recall': 0.9318147708682424, 'f1-score': 0.9273151449344872, 'support': 27619.0} | {'precision': 0.9491959030765336, 'recall': 0.9485861182519281, 'f1-score': 0.9487745648174827, 'support': 27619.0} |
+| 0.1585        | 7.0   | 567  | 0.2591          | {'precision': 0.85, 'recall': 0.912751677852349, 'f1-score': 0.8802588996763754, 'support': 1043.0}                | {'precision': 0.9354661691269275, 'recall': 0.9825360230547551, 'f1-score': 0.958423523458803, 'support': 17350.0}  | {'precision': 0.9664088931851136, 'recall': 0.8668978972469109, 'f1-score': 0.9139526911210146, 'support': 9226.0} | 0.9413   | {'precision': 0.917291687437347, 'recall': 0.9207285327180049, 'f1-score': 0.9175450380853977, 'support': 27619.0}  | {'precision': 0.9425749115781907, 'recall': 0.9412723125384699, 'f1-score': 0.9406164485555297, 'support': 27619.0} |
+| 0.1585        | 8.0   | 648  | 0.2693          | {'precision': 0.84967919340055, 'recall': 0.8887823585810163, 'f1-score': 0.8687910028116214, 'support': 1043.0}   | {'precision': 0.956997878562009, 'recall': 0.9620172910662824, 'f1-score': 0.9595010203788336, 'support': 17350.0}  | {'precision': 0.9282491471332673, 'recall': 0.9142640364188164, 'f1-score': 0.9212035166275324, 'support': 9226.0} | 0.9433   | {'precision': 0.9116420730319422, 'recall': 0.9216878953553717, 'f1-score': 0.9164985132726624, 'support': 27619.0} | {'precision': 0.9433417293609165, 'recall': 0.9432999022412107, 'f1-score': 0.9432823550422136, 'support': 27619.0} |
+| 0.1585        | 9.0   | 729  | 0.3087          | {'precision': 0.8485687903970452, 'recall': 0.8811121764141898, 'f1-score': 0.8645343367826904, 'support': 1043.0} | {'precision': 0.934535260814599, 'recall': 0.9799423631123919, 'f1-score': 0.9567003348057282, 'support': 17350.0}  | {'precision': 0.9586479683567062, 'recall': 0.8668978972469109, 'f1-score': 0.9104673003585861, 'support': 9226.0} | 0.9384   | {'precision': 0.9139173398561168, 'recall': 0.9093174789244975, 'f1-score': 0.910567323982335, 'support': 27619.0}  | {'precision': 0.9393435743356523, 'recall': 0.9384481697382236, 'f1-score': 0.9377758584761231, 'support': 27619.0} |
+| 0.1585        | 10.0  | 810  | 0.2796          | {'precision': 0.897410358565737, 'recall': 0.8638542665388304, 'f1-score': 0.8803126526624329, 'support': 1043.0}  | {'precision': 0.9592919333448654, 'recall': 0.9589048991354466, 'f1-score': 0.9590983771942466, 'support': 17350.0} | {'precision': 0.9197584124245038, 'recall': 0.9243442445263386, 'f1-score': 0.9220456265542221, 'support': 9226.0} | 0.9438   | {'precision': 0.9254869014450354, 'recall': 0.9157011367335386, 'f1-score': 0.9204855521369671, 'support': 27619.0} | {'precision': 0.9437490553802075, 'recall': 0.9437705927079184, 'f1-score': 0.9437458232244597, 'support': 27619.0} |
+| 0.1585        | 11.0  | 891  | 0.3198          | {'precision': 0.8899707887049659, 'recall': 0.8763183125599233, 'f1-score': 0.8830917874396135, 'support': 1043.0} | {'precision': 0.9647182727751448, 'recall': 0.9503170028818444, 'f1-score': 0.9574634882843123, 'support': 17350.0} | {'precision': 0.9067466582465004, 'recall': 0.9337741166269239, 'f1-score': 0.9200619426496501, 'support': 9226.0} | 0.9420   | {'precision': 0.9204785732422037, 'recall': 0.9201364773562305, 'f1-score': 0.9202057394578587, 'support': 27619.0} | {'precision': 0.9425303680165918, 'recall': 0.9419964517180202, 'f1-score': 0.942161111514465, 'support': 27619.0}  |
+| 0.1585        | 12.0  | 972  | 0.3526          | {'precision': 0.8663507109004739, 'recall': 0.8763183125599233, 'f1-score': 0.871306005719733, 'support': 1043.0}  | {'precision': 0.9464205312922107, 'recall': 0.9692219020172911, 'f1-score': 0.9576855173984852, 'support': 17350.0} | {'precision': 0.9386084583901774, 'recall': 0.8948623455451984, 'f1-score': 0.9162135168127844, 'support': 9226.0} | 0.9409   | {'precision': 0.917126566860954, 'recall': 0.9134675200408043, 'f1-score': 0.9150683466436677, 'support': 27619.0}  | {'precision': 0.9407871989028143, 'recall': 0.9408740359897172, 'f1-score': 0.9405699625961891, 'support': 27619.0} |
+| 0.021         | 13.0  | 1053 | 0.3594          | {'precision': 0.875, 'recall': 0.8791946308724832, 'f1-score': 0.877092300334768, 'support': 1043.0}               | {'precision': 0.9486991778353419, 'recall': 0.9710086455331413, 'f1-score': 0.9597242793665263, 'support': 17350.0} | {'precision': 0.9419040054464994, 'recall': 0.8997398655972252, 'f1-score': 0.9203392649259936, 'support': 9226.0} | 0.9437   | {'precision': 0.9218677277606138, 'recall': 0.9166477140009498, 'f1-score': 0.9190519482090961, 'support': 27619.0} | {'precision': 0.9436461164304495, 'recall': 0.943734385748941, 'f1-score': 0.943447393984779, 'support': 27619.0}   |
+| 0.021         | 14.0  | 1134 | 0.3840          | {'precision': 0.8467741935483871, 'recall': 0.9060402684563759, 'f1-score': 0.8754052802223252, 'support': 1043.0} | {'precision': 0.9392880904856953, 'recall': 0.9764265129682997, 'f1-score': 0.9574973153224439, 'support': 17350.0} | {'precision': 0.9539388213062477, 'recall': 0.8754606546715803, 'f1-score': 0.9130164471825015, 'support': 9226.0} | 0.9400   | {'precision': 0.9133337017801101, 'recall': 0.9193091453654186, 'f1-score': 0.9153063475757568, 'support': 27619.0} | {'precision': 0.9406884180878825, 'recall': 0.9400412759332344, 'f1-score': 0.9395385738014427, 'support': 27619.0} |
+| 0.021         | 15.0  | 1215 | 0.3763          | {'precision': 0.8755935422602089, 'recall': 0.8839884947267498, 'f1-score': 0.8797709923664121, 'support': 1043.0} | {'precision': 0.954302299112224, 'recall': 0.9665129682997118, 'f1-score': 0.9603688219460511, 'support': 17350.0}  | {'precision': 0.9346230820547031, 'recall': 0.9111207457186213, 'f1-score': 0.922722283205269, 'support': 9226.0}  | 0.9449   | {'precision': 0.9215063078090453, 'recall': 0.920540736248361, 'f1-score': 0.9209540325059108, 'support': 27619.0}  | {'precision': 0.9447562007752335, 'recall': 0.9448930084362215, 'f1-score': 0.944749483712443, 'support': 27619.0}  |
+| 0.021         | 16.0  | 1296 | 0.3690          | {'precision': 0.8976377952755905, 'recall': 0.8744007670182167, 'f1-score': 0.8858669256920835, 'support': 1043.0} | {'precision': 0.9701351590627397, 'recall': 0.9473775216138328, 'f1-score': 0.9586212929752427, 'support': 17350.0} | {'precision': 0.9027950310559006, 'recall': 0.9452633860828095, 'f1-score': 0.9235412474849094, 'support': 9226.0} | 0.9439   | {'precision': 0.923522661798077, 'recall': 0.922347224904953, 'f1-score': 0.9226764887174118, 'support': 27619.0}   | {'precision': 0.9449027186622512, 'recall': 0.9439154205438285, 'f1-score': 0.9441554794131966, 'support': 27619.0} |
+| 0.021         | 17.0  | 1377 | 0.3570          | {'precision': 0.8867562380038387, 'recall': 0.8859060402684564, 'f1-score': 0.8863309352517986, 'support': 1043.0} | {'precision': 0.9659090909090909, 'recall': 0.9602305475504322, 'f1-score': 0.9630614486386496, 'support': 17350.0} | {'precision': 0.9245363918962375, 'recall': 0.9348580099718188, 'f1-score': 0.9296685529506872, 'support': 9226.0} | 0.9489   | {'precision': 0.9257339069363891, 'recall': 0.9269981992635691, 'f1-score': 0.9263536456137119, 'support': 27619.0} | {'precision': 0.9490996138580476, 'recall': 0.9489481878417032, 'f1-score': 0.9490090650954502, 'support': 27619.0} |
+| 0.021         | 18.0  | 1458 | 0.4152          | {'precision': 0.8671655753040225, 'recall': 0.8887823585810163, 'f1-score': 0.8778409090909091, 'support': 1043.0} | {'precision': 0.9355230471984544, 'recall': 0.9767723342939482, 'f1-score': 0.9557028055829692, 'support': 17350.0} | {'precision': 0.9524599881446354, 'recall': 0.8707999132885325, 'f1-score': 0.9098012570069645, 'support': 9226.0} | 0.9380   | {'precision': 0.9183828702157042, 'recall': 0.9121182020544989, 'f1-score': 0.9144483238936143, 'support': 27619.0} | {'precision': 0.9385993125948691, 'recall': 0.938049893189471, 'f1-score': 0.9374292386470396, 'support': 27619.0}  |
+| 0.0058        | 19.0  | 1539 | 0.3720          | {'precision': 0.8919182083739046, 'recall': 0.87823585810163, 'f1-score': 0.8850241545893719, 'support': 1043.0}   | {'precision': 0.956838628857761, 'recall': 0.9685302593659942, 'f1-score': 0.9626489459211732, 'support': 17350.0}  | {'precision': 0.9375415282392027, 'recall': 0.9176241057879905, 'f1-score': 0.927475898334794, 'support': 9226.0}  | 0.9481   | {'precision': 0.9287661218236227, 'recall': 0.9214634077518715, 'f1-score': 0.9250496662817796, 'support': 27619.0} | {'precision': 0.9479408755404257, 'recall': 0.9481154277852203, 'f1-score': 0.9479681394332119, 'support': 27619.0} |
+| 0.0058        | 20.0  | 1620 | 0.3677          | {'precision': 0.8684957426679281, 'recall': 0.8801534036433365, 'f1-score': 0.8742857142857142, 'support': 1043.0} | {'precision': 0.9469289396996189, 'recall': 0.9738904899135447, 'f1-score': 0.9602204921293401, 'support': 17350.0} | {'precision': 0.9473503097040605, 'recall': 0.8951875135486668, 'f1-score': 0.9205305394560855, 'support': 9226.0} | 0.9441   | {'precision': 0.9209249973572025, 'recall': 0.9164104690351826, 'f1-score': 0.9183455819570466, 'support': 27619.0} | {'precision': 0.9441077562808465, 'recall': 0.9440602483797386, 'f1-score': 0.9437170171065533, 'support': 27619.0} |
+| 0.0058        | 21.0  | 1701 | 0.3749          | {'precision': 0.868252516010979, 'recall': 0.909875359539789, 'f1-score': 0.8885767790262172, 'support': 1043.0}   | {'precision': 0.9537903271531439, 'recall': 0.9695677233429395, 'f1-score': 0.9616143138880155, 'support': 17350.0} | {'precision': 0.9420632242096973, 'recall': 0.9076522870149577, 'f1-score': 0.9245376759591498, 'support': 9226.0} | 0.9466   | {'precision': 0.9213686891246068, 'recall': 0.9290317899658954, 'f1-score': 0.9249095896244609, 'support': 27619.0} | {'precision': 0.9466427045463329, 'recall': 0.9466309424671422, 'f1-score': 0.9464708542988716, 'support': 27619.0} |
+| 0.0058        | 22.0  | 1782 | 0.3899          | {'precision': 0.8754789272030651, 'recall': 0.8763183125599233, 'f1-score': 0.875898418782942, 'support': 1043.0}  | {'precision': 0.9475306911822412, 'recall': 0.9742363112391931, 'f1-score': 0.9606979453806588, 'support': 17350.0} | {'precision': 0.94757326007326, 'recall': 0.897246910903967, 'f1-score': 0.9217236387930074, 'support': 9226.0}    | 0.9448   | {'precision': 0.9235276261528554, 'recall': 0.9159338449010278, 'f1-score': 0.919440000985536, 'support': 27619.0}  | {'precision': 0.9448239585256736, 'recall': 0.9448205945182664, 'f1-score': 0.9444764001104068, 'support': 27619.0} |
+| 0.0058        | 23.0  | 1863 | 0.4506          | {'precision': 0.8712121212121212, 'recall': 0.8820709491850431, 'f1-score': 0.8766079085278704, 'support': 1043.0} | {'precision': 0.9385663638378019, 'recall': 0.9765417867435159, 'f1-score': 0.9571775605897973, 'support': 17350.0} | {'precision': 0.9515920573375631, 'recall': 0.877845220030349, 'f1-score': 0.9132322264193494, 'support': 9226.0}  | 0.9400   | {'precision': 0.9204568474624955, 'recall': 0.9121526519863027, 'f1-score': 0.9156725651790056, 'support': 27619.0} | {'precision': 0.9403739808105457, 'recall': 0.9400050689742568, 'f1-score': 0.939455202786939, 'support': 27619.0}  |
+| 0.0058        | 24.0  | 1944 | 0.4239          | {'precision': 0.8859649122807017, 'recall': 0.8715244487056567, 'f1-score': 0.8786853552440792, 'support': 1043.0} | {'precision': 0.9575452599919023, 'recall': 0.954178674351585, 'f1-score': 0.9558590028580501, 'support': 17350.0}  | {'precision': 0.9121883061049011, 'recall': 0.9199002818122697, 'f1-score': 0.9160280626011873, 'support': 9226.0} | 0.9396   | {'precision': 0.9185661594591683, 'recall': 0.9152011349565038, 'f1-score': 0.9168574735677723, 'support': 27619.0} | {'precision': 0.9396908279261412, 'recall': 0.9396067924255042, 'f1-score': 0.9396392856607877, 'support': 27619.0} |
+| 0.0026        | 25.0  | 2025 | 0.3982          | {'precision': 0.88124410933082, 'recall': 0.8964525407478428, 'f1-score': 0.8887832699619772, 'support': 1043.0}   | {'precision': 0.9556860955857192, 'recall': 0.9658213256484149, 'f1-score': 0.9607269808508199, 'support': 17350.0} | {'precision': 0.9340647163120568, 'recall': 0.9136137004118795, 'f1-score': 0.9237260273972602, 'support': 9226.0} | 0.9458   | {'precision': 0.9236649737428652, 'recall': 0.9252958556027124, 'f1-score': 0.9244120927366858, 'support': 27619.0} | {'precision': 0.9456523566073828, 'recall': 0.9457619754516818, 'f1-score': 0.9456501103261954, 'support': 27619.0} |
+| 0.0026        | 26.0  | 2106 | 0.4067          | {'precision': 0.8740601503759399, 'recall': 0.8916586768935763, 'f1-score': 0.8827717133364974, 'support': 1043.0} | {'precision': 0.9489364103142809, 'recall': 0.9693371757925072, 'f1-score': 0.9590283123770422, 'support': 17350.0} | {'precision': 0.9393115942028986, 'recall': 0.8991979189247779, 'f1-score': 0.9188171447557869, 'support': 9226.0} | 0.9430   | {'precision': 0.9207693849643731, 'recall': 0.9200645905369539, 'f1-score': 0.9202057234897755, 'support': 27619.0} | {'precision': 0.942893668268613, 'recall': 0.9429740396104132, 'f1-score': 0.9427162132687112, 'support': 27619.0}  |
+| 0.0026        | 27.0  | 2187 | 0.4415          | {'precision': 0.8786407766990292, 'recall': 0.8676893576222435, 'f1-score': 0.8731307284129282, 'support': 1043.0} | {'precision': 0.9424291543234028, 'recall': 0.9718155619596541, 'f1-score': 0.9568967963451661, 'support': 17350.0} | {'precision': 0.9418257070590941, 'recall': 0.8879254281378712, 'f1-score': 0.9140816781968311, 'support': 9226.0} | 0.9399   | {'precision': 0.920965212693842, 'recall': 0.9091434492399229, 'f1-score': 0.9147030676516418, 'support': 27619.0}  | {'precision': 0.9398186802902107, 'recall': 0.9398602411383468, 'f1-score': 0.9394312730137688, 'support': 27619.0} |
+| 0.0026        | 28.0  | 2268 | 0.4068          | {'precision': 0.8871745419479267, 'recall': 0.8820709491850431, 'f1-score': 0.8846153846153846, 'support': 1043.0} | {'precision': 0.9559995446265938, 'recall': 0.9680115273775216, 'f1-score': 0.9619680394066098, 'support': 17350.0} | {'precision': 0.9367650321721767, 'recall': 0.9152395404292217, 'f1-score': 0.9258771929824562, 'support': 9226.0} | 0.9471   | {'precision': 0.9266463729155657, 'recall': 0.9217740056639289, 'f1-score': 0.9241535390014834, 'support': 27619.0} | {'precision': 0.9469752465094172, 'recall': 0.9471378398928274, 'f1-score': 0.9469909233612611, 'support': 27619.0} |
+| 0.0026        | 29.0  | 2349 | 0.4006          | {'precision': 0.8782527881040892, 'recall': 0.9060402684563759, 'f1-score': 0.8919301557338367, 'support': 1043.0} | {'precision': 0.9576391652925457, 'recall': 0.9707204610951009, 'f1-score': 0.964135443798838, 'support': 17350.0}  | {'precision': 0.944059848146494, 'recall': 0.9164318231086062, 'f1-score': 0.9300406995930042, 'support': 9226.0}  | 0.9501   | {'precision': 0.9266506005143763, 'recall': 0.9310641842200277, 'f1-score': 0.9287020997085597, 'support': 27619.0} | {'precision': 0.9501051209246456, 'recall': 0.9501430174879612, 'f1-score': 0.9500195009517102, 'support': 27619.0} |
+| 0.0026        | 30.0  | 2430 | 0.4661          | {'precision': 0.8726415094339622, 'recall': 0.8868648130393096, 'f1-score': 0.8796956728483118, 'support': 1043.0} | {'precision': 0.947067399349557, 'recall': 0.9734870317002882, 'f1-score': 0.9600954979536152, 'support': 17350.0}  | {'precision': 0.9477363896848138, 'recall': 0.8962714068935617, 'f1-score': 0.9212857222438862, 'support': 9226.0} | 0.9444   | {'precision': 0.922481766156111, 'recall': 0.9188744172110531, 'f1-score': 0.9203589643486044, 'support': 27619.0}  | {'precision': 0.9444802637418637, 'recall': 0.9444223179695137, 'f1-score': 0.9440950631702127, 'support': 27619.0} |
+| 0.0015        | 31.0  | 2511 | 0.4837          | {'precision': 0.8710900473933649, 'recall': 0.8811121764141898, 'f1-score': 0.8760724499523355, 'support': 1043.0} | {'precision': 0.9430224794124193, 'recall': 0.9768299711815562, 'f1-score': 0.9596285601041844, 'support': 17350.0} | {'precision': 0.953328677839851, 'recall': 0.8878170388033817, 'f1-score': 0.9194073408912335, 'support': 9226.0}  | 0.9435   | {'precision': 0.9224804015485452, 'recall': 0.9152530621330426, 'f1-score': 0.9183694503159178, 'support': 27619.0} | {'precision': 0.9437487714612122, 'recall': 0.9434809370360984, 'f1-score': 0.943037445605214, 'support': 27619.0}  |
+| 0.0015        | 32.0  | 2592 | 0.4702          | {'precision': 0.868421052631579, 'recall': 0.8859060402684564, 'f1-score': 0.8770764119601329, 'support': 1043.0}  | {'precision': 0.9465066726477515, 'recall': 0.9729106628242075, 'f1-score': 0.9595270577535243, 'support': 17350.0} | {'precision': 0.9464510950579063, 'recall': 0.8946455668762194, 'f1-score': 0.919819468434836, 'support': 9226.0}  | 0.9435   | {'precision': 0.9204596067790788, 'recall': 0.9178207566562945, 'f1-score': 0.9188076460494976, 'support': 27619.0} | {'precision': 0.9435392929265168, 'recall': 0.9434809370360984, 'f1-score': 0.943149265559139, 'support': 27619.0}  |
+| 0.0015        | 33.0  | 2673 | 0.4380          | {'precision': 0.8738317757009346, 'recall': 0.8964525407478428, 'f1-score': 0.8849976336961666, 'support': 1043.0} | {'precision': 0.9569585569128896, 'recall': 0.9662247838616714, 'f1-score': 0.9615693472524951, 'support': 17350.0} | {'precision': 0.9359982283246595, 'recall': 0.9162150444396271, 'f1-score': 0.9260009859232076, 'support': 9226.0} | 0.9469   | {'precision': 0.9222628536461612, 'recall': 0.9262974563497138, 'f1-score': 0.9241893222906231, 'support': 27619.0} | {'precision': 0.946817667512148, 'recall': 0.9468843911799848, 'f1-score': 0.9467962563055651, 'support': 27619.0}  |
+| 0.0015        | 34.0  | 2754 | 0.4419          | {'precision': 0.880838894184938, 'recall': 0.8859060402684564, 'f1-score': 0.8833652007648184, 'support': 1043.0}  | {'precision': 0.9541201156921681, 'recall': 0.9696829971181556, 'f1-score': 0.9618386073235572, 'support': 17350.0} | {'precision': 0.9406959829920555, 'recall': 0.9112291350531108, 'f1-score': 0.9257281286131146, 'support': 9226.0} | 0.9470   | {'precision': 0.9252183309563873, 'recall': 0.9222727241465742, 'f1-score': 0.9236439789004968, 'support': 27619.0} | {'precision': 0.9468684642086502, 'recall': 0.9469930120569173, 'f1-score': 0.9468126092923719, 'support': 27619.0} |
+| 0.0015        | 35.0  | 2835 | 0.4607          | {'precision': 0.8798076923076923, 'recall': 0.8772770853307766, 'f1-score': 0.8785405664906385, 'support': 1043.0} | {'precision': 0.945586592178771, 'recall': 0.9755619596541787, 'f1-score': 0.9603404255319149, 'support': 17350.0}  | {'precision': 0.9508007835004033, 'recall': 0.8944287882072404, 'f1-score': 0.9217537000837756, 'support': 9226.0} | 0.9447   | {'precision': 0.9253983559956221, 'recall': 0.9157559443973985, 'f1-score': 0.920211564035443, 'support': 27619.0}  | {'precision': 0.9448443037746955, 'recall': 0.9447481806003114, 'f1-score': 0.9443616289800995, 'support': 27619.0} |
+| 0.0015        | 36.0  | 2916 | 0.4413          | {'precision': 0.8901960784313725, 'recall': 0.8705656759348035, 'f1-score': 0.8802714493456132, 'support': 1043.0} | {'precision': 0.9574089997133849, 'recall': 0.9626512968299712, 'f1-score': 0.9600229918091681, 'support': 17350.0} | {'precision': 0.9270264365304784, 'recall': 0.9197918924777801, 'f1-score': 0.9233949945593034, 'support': 9226.0} | 0.9449   | {'precision': 0.924877171558412, 'recall': 0.9176696217475183, 'f1-score': 0.9212298119046949, 'support': 27619.0}  | {'precision': 0.9447216249053674, 'recall': 0.9448568014772439, 'f1-score': 0.944775851745562, 'support': 27619.0}  |
+| 0.0015        | 37.0  | 2997 | 0.4391          | {'precision': 0.8872832369942196, 'recall': 0.8830297219558965, 'f1-score': 0.8851513695338779, 'support': 1043.0} | {'precision': 0.9576338928856915, 'recall': 0.966685878962536, 'f1-score': 0.9621385956860945, 'support': 17350.0}  | {'precision': 0.9353700231609132, 'recall': 0.9192499458053327, 'f1-score': 0.9272399278412508, 'support': 9226.0} | 0.9477   | {'precision': 0.9267623843469414, 'recall': 0.9229885155745885, 'f1-score': 0.9248432976870743, 'support': 27619.0} | {'precision': 0.9475400373450994, 'recall': 0.9476809442774902, 'f1-score': 0.9475735214106575, 'support': 27619.0} |
+| 0.0012        | 38.0  | 3078 | 0.4364          | {'precision': 0.8781869688385269, 'recall': 0.8916586768935763, 'f1-score': 0.8848715509039011, 'support': 1043.0} | {'precision': 0.9536389977842168, 'recall': 0.9674351585014409, 'f1-score': 0.9604875396984349, 'support': 17350.0} | {'precision': 0.9374930237749749, 'recall': 0.9103620203771949, 'f1-score': 0.9237283475391805, 'support': 9226.0} | 0.9455   | {'precision': 0.9231063301325729, 'recall': 0.9231519519240706, 'f1-score': 0.9230291460471722, 'support': 27619.0} | {'precision': 0.9453961496579408, 'recall': 0.9455085267388392, 'f1-score': 0.9453527490407726, 'support': 27619.0} |
+| 0.0012        | 39.0  | 3159 | 0.4426          | {'precision': 0.8866666666666667, 'recall': 0.8926174496644296, 'f1-score': 0.8896321070234113, 'support': 1043.0} | {'precision': 0.9584571428571429, 'recall': 0.9667435158501441, 'f1-score': 0.9625824964131994, 'support': 17350.0} | {'precision': 0.9358253390671518, 'recall': 0.9199002818122697, 'f1-score': 0.9277944793659471, 'support': 9226.0} | 0.9483   | {'precision': 0.9269830495303205, 'recall': 0.9264204157756145, 'f1-score': 0.9266696942675193, 'support': 27619.0} | {'precision': 0.9481860074636412, 'recall': 0.9482964625801079, 'f1-score': 0.9482068310592221, 'support': 27619.0} |
+| 0.0012        | 40.0  | 3240 | 0.4584          | {'precision': 0.8852772466539197, 'recall': 0.887823585810163, 'f1-score': 0.8865485878410723, 'support': 1043.0}  | {'precision': 0.9512016660100185, 'recall': 0.9740634005763689, 'f1-score': 0.9624967964233846, 'support': 17350.0} | {'precision': 0.9486713604360664, 'recall': 0.905484500325168, 'f1-score': 0.9265749778172139, 'support': 9226.0}  | 0.9479   | {'precision': 0.9283834243666682, 'recall': 0.9224571622372332, 'f1-score': 0.925206787360557, 'support': 27619.0}  | {'precision': 0.947866868638148, 'recall': 0.9478981860313552, 'f1-score': 0.9476291806512029, 'support': 27619.0}  |
+| 0.0012        | 41.0  | 3321 | 0.4565          | {'precision': 0.8815165876777251, 'recall': 0.8916586768935763, 'f1-score': 0.886558627264061, 'support': 1043.0}  | {'precision': 0.9584047537424294, 'recall': 0.9668011527377521, 'f1-score': 0.9625846436359462, 'support': 17350.0} | {'precision': 0.9363275215184286, 'recall': 0.9196835031432907, 'f1-score': 0.927930883639545, 'support': 9226.0}  | 0.9482   | {'precision': 0.9254162876461943, 'recall': 0.9260477775915397, 'f1-score': 0.9256913848465174, 'support': 27619.0} | {'precision': 0.9481263619938463, 'recall': 0.9482240486621528, 'f1-score': 0.9481376786914271, 'support': 27619.0} |
+| 0.0012        | 42.0  | 3402 | 0.4558          | {'precision': 0.8779564806054873, 'recall': 0.8897411313518696, 'f1-score': 0.8838095238095238, 'support': 1043.0} | {'precision': 0.9507137237270991, 'recall': 0.9750432276657061, 'f1-score': 0.9627247894377418, 'support': 17350.0} | {'precision': 0.9507299270072993, 'recall': 0.9035334923043572, 'f1-score': 0.9265310659108592, 'support': 9226.0} | 0.9479   | {'precision': 0.9264667104466285, 'recall': 0.9227726171073108, 'f1-score': 0.9243551263860416, 'support': 27619.0} | {'precision': 0.9479715421451187, 'recall': 0.9479343929903328, 'f1-score': 0.947654297555007, 'support': 27619.0}  |
+| 0.0012        | 43.0  | 3483 | 0.4610          | {'precision': 0.875234521575985, 'recall': 0.8945349952061361, 'f1-score': 0.8847795163584636, 'support': 1043.0}  | {'precision': 0.9506872370266479, 'recall': 0.9767146974063401, 'f1-score': 0.9635252309879175, 'support': 17350.0} | {'precision': 0.9546287809349221, 'recall': 0.9030999349663993, 'f1-score': 0.9281497159407374, 'support': 9226.0} | 0.9490   | {'precision': 0.9268501798458516, 'recall': 0.9247832091929585, 'f1-score': 0.9254848210957062, 'support': 27619.0} | {'precision': 0.949154506003899, 'recall': 0.9490206017596582, 'f1-score': 0.9487344607868312, 'support': 27619.0}  |
+| 0.0008        | 44.0  | 3564 | 0.4501          | {'precision': 0.8805687203791469, 'recall': 0.8906999041227229, 'f1-score': 0.8856053384175404, 'support': 1043.0} | {'precision': 0.9565341070717415, 'recall': 0.9690489913544669, 'f1-score': 0.9627508804077075, 'support': 17350.0} | {'precision': 0.9403582953154557, 'recall': 0.9159982657706481, 'f1-score': 0.9280184483610608, 'support': 9226.0} | 0.9484   | {'precision': 0.9258203742554482, 'recall': 0.9252490537492793, 'f1-score': 0.9254582223954363, 'support': 27619.0} | {'precision': 0.9482619054140469, 'recall': 0.9483688764980629, 'f1-score': 0.9482353578197027, 'support': 27619.0} |
+| 0.0008        | 45.0  | 3645 | 0.4542          | {'precision': 0.8861480075901328, 'recall': 0.8954937679769894, 'f1-score': 0.8907963757749165, 'support': 1043.0} | {'precision': 0.9586123991069895, 'recall': 0.9651873198847263, 'f1-score': 0.9618886240271116, 'support': 17350.0} | {'precision': 0.9334872471416007, 'recall': 0.9203338391502276, 'f1-score': 0.9268638794891386, 'support': 9226.0} | 0.9476   | {'precision': 0.9260825512795744, 'recall': 0.9270049756706479, 'f1-score': 0.9265162930970557, 'support': 27619.0} | {'precision': 0.9474829225732714, 'recall': 0.9475723234005576, 'f1-score': 0.9475040515214316, 'support': 27619.0} |
+| 0.0008        | 46.0  | 3726 | 0.4560          | {'precision': 0.882186616399623, 'recall': 0.8974113135186961, 'f1-score': 0.8897338403041826, 'support': 1043.0}  | {'precision': 0.9587003775311749, 'recall': 0.9659942363112392, 'f1-score': 0.9623334864492421, 'support': 17350.0} | {'precision': 0.9353239312472454, 'recall': 0.9201170604812486, 'f1-score': 0.9276581794339416, 'support': 9226.0} | 0.9481   | {'precision': 0.9254036417260144, 'recall': 0.927840870103728, 'f1-score': 0.926575168729122, 'support': 27619.0}   | {'precision': 0.9480021282724854, 'recall': 0.9480792208262429, 'f1-score': 0.9480087167815329, 'support': 27619.0} |
+| 0.0008        | 47.0  | 3807 | 0.4668          | {'precision': 0.8813559322033898, 'recall': 0.8974113135186961, 'f1-score': 0.8893111638954868, 'support': 1043.0} | {'precision': 0.961000057607005, 'recall': 0.9614985590778098, 'f1-score': 0.9612492437120056, 'support': 17350.0}  | {'precision': 0.9279191128506197, 'recall': 0.925102969867765, 'f1-score': 0.9265089014329135, 'support': 9226.0}  | 0.9469   | {'precision': 0.9234250342203382, 'recall': 0.9280042808214236, 'f1-score': 0.9256897696801353, 'support': 27619.0} | {'precision': 0.9469418506075343, 'recall': 0.9469205981389623, 'f1-score': 0.9469277326103895, 'support': 27619.0} |
+| 0.0008        | 48.0  | 3888 | 0.4643          | {'precision': 0.882186616399623, 'recall': 0.8974113135186961, 'f1-score': 0.8897338403041826, 'support': 1043.0}  | {'precision': 0.9605293440736479, 'recall': 0.9621902017291066, 'f1-score': 0.961359055571552, 'support': 17350.0}  | {'precision': 0.9289605578557419, 'recall': 0.9241274658573596, 'f1-score': 0.9265377091936535, 'support': 9226.0} | 0.9470   | {'precision': 0.9238921727763376, 'recall': 0.9279096603683875, 'f1-score': 0.9258768683564625, 'support': 27619.0} | {'precision': 0.9470254124826993, 'recall': 0.9470292190158949, 'f1-score': 0.947022300395537, 'support': 27619.0}  |
+| 0.0008        | 49.0  | 3969 | 0.4590          | {'precision': 0.8819641170915958, 'recall': 0.8954937679769894, 'f1-score': 0.8886774500475738, 'support': 1043.0} | {'precision': 0.958698516354471, 'recall': 0.9646109510086456, 'f1-score': 0.961645645990749, 'support': 17350.0}   | {'precision': 0.9327694166758211, 'recall': 0.9203338391502276, 'f1-score': 0.9265099023405532, 'support': 9226.0} | 0.9472   | {'precision': 0.9244773500406293, 'recall': 0.9268128527119542, 'f1-score': 0.9256109994596254, 'support': 27619.0} | {'precision': 0.9471392328153709, 'recall': 0.9472102538107824, 'f1-score': 0.9471531517192171, 'support': 27619.0} |
+| 0.0009        | 50.0  | 4050 | 0.4604          | {'precision': 0.8831908831908832, 'recall': 0.8916586768935763, 'f1-score': 0.8874045801526719, 'support': 1043.0} | {'precision': 0.9586151553364668, 'recall': 0.9639193083573487, 'f1-score': 0.9612599149327509, 'support': 17350.0} | {'precision': 0.93125, 'recall': 0.9205506178192066, 'f1-score': 0.9258693993241034, 'support': 9226.0}            | 0.9467   | {'precision': 0.92435201284245, 'recall': 0.9253762010233771, 'f1-score': 0.924844631469842, 'support': 27619.0}    | {'precision': 0.9466256394603638, 'recall': 0.9467033563850972, 'f1-score': 0.9466488134742982, 'support': 27619.0} |
 ### Framework versions