trainer: training complete at 2024-03-04 05:54:14.776648.

README.md

@@ -17,12 +17,12 @@ model-index:
       name: essays_su_g
       type: essays_su_g
       config: spans
-      split: train[40%:60%]
+      split: train[60%:80%]
       args: spans
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9472537783586341
+      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: 0.5342
-- B: {'precision': 0.8877245508982036, 'recall': 0.9158301158301159, 'f1-score': 0.9015583428354238, 'support': 1295.0}
-- I: {'precision': 0.9571680894907271, 'recall': 0.9722900573137304, 'f1-score': 0.9646698148193934, 'support': 20065.0}
-- O: {'precision': 0.9321679182568017, 'recall': 0.8928192430137956, 'f1-score': 0.912069380872079, 'support': 8481.0}
-- Accuracy: 0.9473
-- Macro avg: {'precision': 0.9256868528819107, 'recall': 0.9269798053858805, 'f1-score': 0.9260991795089654, 'support': 29841.0}
-- Weighted avg: {'precision': 0.9470492652317465, 'recall': 0.9472537783586341, 'f1-score': 0.9469816127977985, 'support': 29841.0}
+- 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   | 0.2451          | {'precision': 0.7866108786610879, 'recall': 0.871042471042471, 'f1-score': 0.8266764382557715, 'support': 1295.0}  | {'precision': 0.9344077040239768, 'recall': 0.9478195863443808, 'f1-score': 0.9410658617447671, 'support': 20065.0} | {'precision': 0.8789421405512788, 'recall': 0.8346893055064262, 'f1-score': 0.8562443302086484, 'support': 8481.0} | 0.9123   | {'precision': 0.8666535744121145, 'recall': 0.8845171209644261, 'f1-score': 0.8746622100697291, 'support': 29841.0} | {'precision': 0.9122301519092053, 'recall': 0.912335377500754, 'f1-score': 0.9119949287205363, 'support': 29841.0}  |
-| No log        | 2.0   | 162  | 0.2008          | {'precision': 0.8537463976945245, 'recall': 0.915057915057915, 'f1-score': 0.8833395452851286, 'support': 1295.0}  | {'precision': 0.9516903430183636, 'recall': 0.958235733864939, 'f1-score': 0.9549518227873249, 'support': 20065.0}  | {'precision': 0.9016969696969697, 'recall': 0.877137130055418, 'f1-score': 0.88924750463212, 'support': 8481.0}    | 0.9333   | {'precision': 0.9023779034699526, 'recall': 0.916810259659424, 'f1-score': 0.9091796242348579, 'support': 29841.0}  | {'precision': 0.9332314707173981, 'recall': 0.9333132267685399, 'f1-score': 0.9331705077630417, 'support': 29841.0} |
-| No log        | 3.0   | 243  | 0.1986          | {'precision': 0.8889739663093414, 'recall': 0.8965250965250965, 'f1-score': 0.8927335640138409, 'support': 1295.0} | {'precision': 0.9586653386454184, 'recall': 0.9593820084724645, 'f1-score': 0.9590235396687009, 'support': 20065.0} | {'precision': 0.9020697811945594, 'recall': 0.8993043273198915, 'f1-score': 0.9006849315068494, 'support': 8481.0} | 0.9396   | {'precision': 0.9165696953831063, 'recall': 0.9184038107724842, 'f1-score': 0.9174806783964637, 'support': 29841.0} | {'precision': 0.9395561516236713, 'recall': 0.9395797727958178, 'f1-score': 0.9395665759512081, 'support': 29841.0} |
-| No log        | 4.0   | 324  | 0.1974          | {'precision': 0.893455098934551, 'recall': 0.9065637065637066, 'f1-score': 0.8999616711383672, 'support': 1295.0}  | {'precision': 0.9436362763454799, 'recall': 0.9795664091701969, 'f1-score': 0.9612657113512985, 'support': 20065.0} | {'precision': 0.9454403741231489, 'recall': 0.8581535196321188, 'f1-score': 0.8996847765622102, 'support': 8481.0} | 0.9419   | {'precision': 0.9275105831343932, 'recall': 0.9147612117886741, 'f1-score': 0.920304053017292, 'support': 29841.0}  | {'precision': 0.9419713163409645, 'recall': 0.9418920277470594, 'f1-score': 0.9411036309913238, 'support': 29841.0} |
-| No log        | 5.0   | 405  | 0.2340          | {'precision': 0.8919540229885058, 'recall': 0.8988416988416988, 'f1-score': 0.8953846153846153, 'support': 1295.0} | {'precision': 0.9581224570804803, 'recall': 0.9623722900573137, 'f1-score': 0.9602426713742261, 'support': 20065.0} | {'precision': 0.9075399665950847, 'recall': 0.8969461148449476, 'f1-score': 0.9022119433078337, 'support': 8481.0} | 0.9410   | {'precision': 0.9192054822213569, 'recall': 0.9193867012479867, 'f1-score': 0.9192797433555584, 'support': 29841.0} | {'precision': 0.9408751053176122, 'recall': 0.9410207432726785, 'f1-score': 0.9409353496612266, 'support': 29841.0} |
-| No log        | 6.0   | 486  | 0.2177          | {'precision': 0.9068471337579618, 'recall': 0.8795366795366796, 'f1-score': 0.8929831438651511, 'support': 1295.0} | {'precision': 0.9655225409836066, 'recall': 0.9392972838275604, 'f1-score': 0.9522293798155866, 'support': 20065.0} | {'precision': 0.8599007170435742, 'recall': 0.919113312109421, 'f1-score': 0.8885216003647556, 'support': 8481.0}  | 0.9310   | {'precision': 0.9107567972617142, 'recall': 0.9126490918245537, 'f1-score': 0.9112447080151643, 'support': 29841.0} | {'precision': 0.9329578366776978, 'recall': 0.930967460875976, 'f1-score': 0.9315521386682287, 'support': 29841.0}  |
-| 0.1627        | 7.0   | 567  | 0.2738          | {'precision': 0.8704245973645681, 'recall': 0.9181467181467181, 'f1-score': 0.8936490041337843, 'support': 1295.0} | {'precision': 0.9477800446905664, 'recall': 0.9723897333665587, 'f1-score': 0.9599271850630982, 'support': 20065.0} | {'precision': 0.9316770186335404, 'recall': 0.8666430845419172, 'f1-score': 0.8979841172877214, 'support': 8481.0} | 0.9400   | {'precision': 0.9166272202295582, 'recall': 0.9190598453517312, 'f1-score': 0.9171867688282013, 'support': 29841.0} | {'precision': 0.9398464945991887, 'recall': 0.9399819040916859, 'f1-score': 0.9394463230910989, 'support': 29841.0} |
-| 0.1627        | 8.0   | 648  | 0.3103          | {'precision': 0.8651766402307137, 'recall': 0.9266409266409267, 'f1-score': 0.8948545861297539, 'support': 1295.0} | {'precision': 0.9414702069429106, 'recall': 0.9772240219287316, 'f1-score': 0.9590139880661254, 'support': 20065.0} | {'precision': 0.9427035531663825, 'recall': 0.8477773847423653, 'f1-score': 0.8927241122423641, 'support': 8481.0} | 0.9382   | {'precision': 0.916450133446669, 'recall': 0.9172141111040079, 'f1-score': 0.9155308954794145, 'support': 29841.0}  | {'precision': 0.9385098450391195, 'recall': 0.9382393351429241, 'f1-score': 0.9373896838414373, 'support': 29841.0} |
-| 0.1627        | 9.0   | 729  | 0.3288          | {'precision': 0.8749090909090909, 'recall': 0.9289575289575289, 'f1-score': 0.9011235955056179, 'support': 1295.0} | {'precision': 0.9485040973670175, 'recall': 0.9748816346872664, 'f1-score': 0.9615119937082186, 'support': 20065.0} | {'precision': 0.9380339155935229, 'recall': 0.8674684589081476, 'f1-score': 0.9013722126929674, 'support': 8481.0} | 0.9424   | {'precision': 0.9204823679565438, 'recall': 0.9237692075176476, 'f1-score': 0.9213359339689347, 'support': 29841.0} | {'precision': 0.9423346276781992, 'recall': 0.9423611809255722, 'f1-score': 0.9417992341337168, 'support': 29841.0} |
-| 0.1627        | 10.0  | 810  | 0.3041          | {'precision': 0.8801498127340824, 'recall': 0.9073359073359073, 'f1-score': 0.8935361216730039, 'support': 1295.0} | {'precision': 0.9596359319351009, 'recall': 0.9668577124345876, 'f1-score': 0.9632332861646931, 'support': 20065.0} | {'precision': 0.9200241254523522, 'recall': 0.8993043273198915, 'f1-score': 0.9095462405342556, 'support': 8481.0} | 0.9451   | {'precision': 0.9199366233738452, 'recall': 0.9244993156967954, 'f1-score': 0.9221052161239841, 'support': 29841.0} | {'precision': 0.9449285744355027, 'recall': 0.9450755671726819, 'f1-score': 0.9449504651463465, 'support': 29841.0} |
-| 0.1627        | 11.0  | 891  | 0.3531          | {'precision': 0.8729689807976366, 'recall': 0.9127413127413128, 'f1-score': 0.8924122310305775, 'support': 1295.0} | {'precision': 0.9483330083837005, 'recall': 0.9696486419137802, 'f1-score': 0.9588723786993913, 'support': 20065.0} | {'precision': 0.9243507715468574, 'recall': 0.8687654757693668, 'f1-score': 0.8956965718453683, 'support': 8481.0} | 0.9385   | {'precision': 0.9152175869093981, 'recall': 0.9170518101414866, 'f1-score': 0.9156603938584458, 'support': 29841.0} | {'precision': 0.9382465579853486, 'recall': 0.9385074226735028, 'f1-score': 0.938033267772811, 'support': 29841.0}  |
-| 0.1627        | 12.0  | 972  | 0.4237          | {'precision': 0.8768436578171092, 'recall': 0.9181467181467181, 'f1-score': 0.8970199924556771, 'support': 1295.0} | {'precision': 0.9431046931407943, 'recall': 0.9764764515325193, 'f1-score': 0.9595004897159647, 'support': 20065.0} | {'precision': 0.9400778210116731, 'recall': 0.8546162009197029, 'f1-score': 0.8953122104873078, 'support': 8481.0} | 0.9393   | {'precision': 0.9200087239898588, 'recall': 0.9164131235329801, 'f1-score': 0.9172775642196499, 'support': 29841.0} | {'precision': 0.9393689288141548, 'recall': 0.9393116852652391, 'f1-score': 0.9385463313402296, 'support': 29841.0} |
-| 0.0196        | 13.0  | 1053 | 0.4309          | {'precision': 0.8716617210682492, 'recall': 0.9073359073359073, 'f1-score': 0.8891411275066211, 'support': 1295.0} | {'precision': 0.9563736860287223, 'recall': 0.9658111138798904, 'f1-score': 0.9610692322951795, 'support': 20065.0} | {'precision': 0.918104495747266, 'recall': 0.8909326730338404, 'f1-score': 0.9043145233678416, 'support': 8481.0}  | 0.9420   | {'precision': 0.9153799676147458, 'recall': 0.9213598980832126, 'f1-score': 0.9181749610565474, 'support': 29841.0} | {'precision': 0.9418211242043584, 'recall': 0.9419925605710264, 'f1-score': 0.9418177466843106, 'support': 29841.0} |
-| 0.0196        | 14.0  | 1134 | 0.4199          | {'precision': 0.8933434190620272, 'recall': 0.911969111969112, 'f1-score': 0.9025601834161253, 'support': 1295.0}  | {'precision': 0.9570764513895758, 'recall': 0.9645651632195366, 'f1-score': 0.960806215404473, 'support': 20065.0}  | {'precision': 0.9131011208870676, 'recall': 0.8932908855087843, 'f1-score': 0.9030873763261413, 'support': 8481.0} | 0.9420   | {'precision': 0.9211736637795568, 'recall': 0.9232750535658111, 'f1-score': 0.9221512583822467, 'support': 29841.0} | {'precision': 0.9418125843993292, 'recall': 0.9420260715123487, 'f1-score': 0.9418744743217934, 'support': 29841.0} |
-| 0.0196        | 15.0  | 1215 | 0.3918          | {'precision': 0.8861047835990888, 'recall': 0.9011583011583012, 'f1-score': 0.8935681470137825, 'support': 1295.0} | {'precision': 0.9595530063291139, 'recall': 0.9671567405930726, 'f1-score': 0.9633398694432723, 'support': 20065.0} | {'precision': 0.92, 'recall': 0.9003655229336163, 'f1-score': 0.9100768726535964, 'support': 8481.0}               | 0.9453   | {'precision': 0.9218859299760677, 'recall': 0.9228935215616634, 'f1-score': 0.9223282963702171, 'support': 29841.0} | {'precision': 0.9451243847979119, 'recall': 0.9453101437619382, 'f1-score': 0.945174330208011, 'support': 29841.0}  |
-| 0.0196        | 16.0  | 1296 | 0.4405          | {'precision': 0.895738203957382, 'recall': 0.9088803088803089, 'f1-score': 0.9022614028363357, 'support': 1295.0}  | {'precision': 0.9552494853445741, 'recall': 0.9712932967854473, 'f1-score': 0.9632045864531594, 'support': 20065.0} | {'precision': 0.9282461538461538, 'recall': 0.8892819243013795, 'f1-score': 0.9083463808262073, 'support': 8481.0} | 0.9453   | {'precision': 0.92641128104937, 'recall': 0.9231518433223785, 'f1-score': 0.9246041233719008, 'support': 29841.0}   | {'precision': 0.944992377210312, 'recall': 0.9452766328206159, 'f1-score': 0.9449688080038458, 'support': 29841.0}  |
-| 0.0196        | 17.0  | 1377 | 0.4657          | {'precision': 0.8618705035971223, 'recall': 0.9250965250965251, 'f1-score': 0.8923649906890131, 'support': 1295.0} | {'precision': 0.9498902171261283, 'recall': 0.97024669823075, 'f1-score': 0.9599605522682445, 'support': 20065.0}   | {'precision': 0.9298642533936652, 'recall': 0.8723027944817828, 'f1-score': 0.9001642635517431, 'support': 8481.0} | 0.9405   | {'precision': 0.9138749913723053, 'recall': 0.9225486726030193, 'f1-score': 0.9174966021696669, 'support': 29841.0} | {'precision': 0.9403789498282803, 'recall': 0.9404510572701987, 'f1-score': 0.940032648483192, 'support': 29841.0}  |
-| 0.0196        | 18.0  | 1458 | 0.4731          | {'precision': 0.9024767801857585, 'recall': 0.9003861003861003, 'f1-score': 0.9014302280633939, 'support': 1295.0} | {'precision': 0.9506496024820632, 'recall': 0.9773236979815599, 'f1-score': 0.9638021281301453, 'support': 20065.0} | {'precision': 0.9404115641964399, 'recall': 0.87831623629289, 'f1-score': 0.9083038653822705, 'support': 8481.0}   | 0.9458   | {'precision': 0.9311793156214204, 'recall': 0.9186753448868501, 'f1-score': 0.9245120738586032, 'support': 29841.0} | {'precision': 0.9456493475450943, 'recall': 0.9458463188230958, 'f1-score': 0.9453224398840687, 'support': 29841.0} |
-| 0.0038        | 19.0  | 1539 | 0.4952          | {'precision': 0.868828297715549, 'recall': 0.9104247104247104, 'f1-score': 0.8891402714932127, 'support': 1295.0}  | {'precision': 0.9571718572065158, 'recall': 0.9634687266384251, 'f1-score': 0.9603099696984749, 'support': 20065.0} | {'precision': 0.913358271992277, 'recall': 0.8924655111425539, 'f1-score': 0.9027910305343512, 'support': 8481.0}  | 0.9410   | {'precision': 0.9131194756381139, 'recall': 0.9221196494018965, 'f1-score': 0.9174137572420129, 'support': 29841.0} | {'precision': 0.9408859443435835, 'recall': 0.9409872323313562, 'f1-score': 0.9408741973642117, 'support': 29841.0} |
-| 0.0038        | 20.0  | 1620 | 0.4591          | {'precision': 0.8940548780487805, 'recall': 0.9057915057915058, 'f1-score': 0.899884925201381, 'support': 1295.0}  | {'precision': 0.951896887159533, 'recall': 0.9753800149514079, 'f1-score': 0.9634953846153845, 'support': 20065.0}  | {'precision': 0.9365039528171665, 'recall': 0.8799669850253508, 'f1-score': 0.9073556231003039, 'support': 8481.0} | 0.9452   | {'precision': 0.9274852393418267, 'recall': 0.9203795019227549, 'f1-score': 0.9235786443056897, 'support': 29841.0} | {'precision': 0.9450119678218422, 'recall': 0.9452431218792936, 'f1-score': 0.9447796290324438, 'support': 29841.0} |
-| 0.0038        | 21.0  | 1701 | 0.4614          | {'precision': 0.8893129770992366, 'recall': 0.8996138996138996, 'f1-score': 0.8944337811900192, 'support': 1295.0} | {'precision': 0.9549624687239366, 'recall': 0.9700971841515076, 'f1-score': 0.9624703322784811, 'support': 20065.0} | {'precision': 0.9251350024545901, 'recall': 0.8888102818063908, 'f1-score': 0.9066089361958025, 'support': 8481.0} | 0.9439   | {'precision': 0.9231368160925877, 'recall': 0.9195071218572659, 'f1-score': 0.9211710165547675, 'support': 29841.0} | {'precision': 0.9436363458364894, 'recall': 0.9439361951677223, 'f1-score': 0.9436416122678664, 'support': 29841.0} |
-| 0.0038        | 22.0  | 1782 | 0.4725          | {'precision': 0.8912386706948641, 'recall': 0.9111969111969112, 'f1-score': 0.9011072928598702, 'support': 1295.0} | {'precision': 0.9558585511795576, 'recall': 0.9712932967854473, 'f1-score': 0.9635141147970535, 'support': 20065.0} | {'precision': 0.9292568897637795, 'recall': 0.8905789411625987, 'f1-score': 0.9095068938527304, 'support': 8481.0} | 0.9457   | {'precision': 0.9254513705460671, 'recall': 0.9243563830483191, 'f1-score': 0.9247094338365515, 'support': 29841.0} | {'precision': 0.9454939040264833, 'recall': 0.9457457859991287, 'f1-score': 0.9454566745223489, 'support': 29841.0} |
-| 0.0038        | 23.0  | 1863 | 0.4747          | {'precision': 0.8771280532938565, 'recall': 0.915057915057915, 'f1-score': 0.8956916099773242, 'support': 1295.0}  | {'precision': 0.9609957269204015, 'recall': 0.9639172688761525, 'f1-score': 0.9624542808091362, 'support': 20065.0} | {'precision': 0.914753706360593, 'recall': 0.9021341822898243, 'f1-score': 0.9084001187295934, 'support': 8481.0}  | 0.9442   | {'precision': 0.9176258288582838, 'recall': 0.927036455407964, 'f1-score': 0.9221820031720179, 'support': 29841.0}  | {'precision': 0.9442138759866489, 'recall': 0.9442377936396233, 'f1-score': 0.9441944702356367, 'support': 29841.0} |
-| 0.0038        | 24.0  | 1944 | 0.4713          | {'precision': 0.8899773926149209, 'recall': 0.911969111969112, 'f1-score': 0.9008390541571321, 'support': 1295.0}  | {'precision': 0.9553151918559123, 'recall': 0.9727884375778719, 'f1-score': 0.9639726399486381, 'support': 20065.0} | {'precision': 0.9325661964860184, 'recall': 0.8886923711826435, 'f1-score': 0.9101008271448409, 'support': 8481.0} | 0.9462   | {'precision': 0.9259529269856172, 'recall': 0.9244833069098758, 'f1-score': 0.9249708404168704, 'support': 29841.0} | {'precision': 0.9460143413566277, 'recall': 0.9462484501189639, 'f1-score': 0.9459221443892064, 'support': 29841.0} |
-| 0.0014        | 25.0  | 2025 | 0.4857          | {'precision': 0.8803290949887809, 'recall': 0.9088803088803089, 'f1-score': 0.8943768996960487, 'support': 1295.0} | {'precision': 0.9610305798252582, 'recall': 0.9648143533516073, 'f1-score': 0.9629187495336865, 'support': 20065.0} | {'precision': 0.9155502392344498, 'recall': 0.9024879141610659, 'f1-score': 0.9089721512974288, 'support': 8481.0} | 0.9447   | {'precision': 0.9189699713494962, 'recall': 0.925394192130994, 'f1-score': 0.922089266842388, 'support': 29841.0}   | {'precision': 0.944602605179171, 'recall': 0.9446734358768137, 'f1-score': 0.9446122988389564, 'support': 29841.0}  |
-| 0.0014        | 26.0  | 2106 | 0.4858          | {'precision': 0.8845577211394303, 'recall': 0.9111969111969112, 'f1-score': 0.897679726131609, 'support': 1295.0}  | {'precision': 0.9560839023431743, 'recall': 0.9699975080986792, 'f1-score': 0.962990450744644, 'support': 20065.0}  | {'precision': 0.9261349693251534, 'recall': 0.8899893880438627, 'f1-score': 0.9077024833142927, 'support': 8481.0} | 0.9447   | {'precision': 0.9222588642692527, 'recall': 0.9237279357798177, 'f1-score': 0.9227908867301818, 'support': 29841.0} | {'precision': 0.9444682290887698, 'recall': 0.9447069468181362, 'f1-score': 0.94444299455515, 'support': 29841.0}   |
-| 0.0014        | 27.0  | 2187 | 0.4996          | {'precision': 0.8871331828442438, 'recall': 0.9104247104247104, 'f1-score': 0.8986280487804879, 'support': 1295.0} | {'precision': 0.9557796360059027, 'recall': 0.9684026912534264, 'f1-score': 0.9620497586334943, 'support': 20065.0} | {'precision': 0.9219017355169885, 'recall': 0.8893998349251268, 'f1-score': 0.9053591790193843, 'support': 8481.0} | 0.9434   | {'precision': 0.9216048514557116, 'recall': 0.9227424122010879, 'f1-score': 0.9220123288111223, 'support': 29841.0} | {'precision': 0.9431722960745722, 'recall': 0.9434335310478872, 'f1-score': 0.9431856481825407, 'support': 29841.0} |
-| 0.0014        | 28.0  | 2268 | 0.4975          | {'precision': 0.8821752265861027, 'recall': 0.901930501930502, 'f1-score': 0.8919434898816342, 'support': 1295.0}  | {'precision': 0.9630706017938568, 'recall': 0.9578868676800398, 'f1-score': 0.9604717405427016, 'support': 20065.0} | {'precision': 0.9003504672897197, 'recall': 0.9087371772196675, 'f1-score': 0.9045243823719267, 'support': 8481.0} | 0.9415   | {'precision': 0.9151987652232264, 'recall': 0.9228515156100698, 'f1-score': 0.9189798709320876, 'support': 29841.0} | {'precision': 0.9417345550251954, 'recall': 0.9414898964511913, 'f1-score': 0.941597251442054, 'support': 29841.0}  |
-| 0.0014        | 29.0  | 2349 | 0.4865          | {'precision': 0.8826568265682657, 'recall': 0.9235521235521236, 'f1-score': 0.9026415094339624, 'support': 1295.0} | {'precision': 0.9565730005895068, 'recall': 0.9704460503364066, 'f1-score': 0.963459587838005, 'support': 20065.0}  | {'precision': 0.929520295202952, 'recall': 0.8910505836575876, 'f1-score': 0.9098789958461262, 'support': 8481.0}  | 0.9458   | {'precision': 0.9229167074535748, 'recall': 0.9283495858487059, 'f1-score': 0.9253266977060312, 'support': 29841.0} | {'precision': 0.9456767357277099, 'recall': 0.9458463188230958, 'f1-score': 0.9455923443737659, 'support': 29841.0} |
-| 0.0014        | 30.0  | 2430 | 0.5332          | {'precision': 0.8798219584569733, 'recall': 0.9158301158301159, 'f1-score': 0.8974650018917897, 'support': 1295.0} | {'precision': 0.9515704252828716, 'recall': 0.9723897333665587, 'f1-score': 0.9618674357267865, 'support': 20065.0} | {'precision': 0.9324070597070973, 'recall': 0.87831623629289, 'f1-score': 0.9045537340619307, 'support': 8481.0}   | 0.9432   | {'precision': 0.9212664811489807, 'recall': 0.9221786951631882, 'f1-score': 0.921295390560169, 'support': 29841.0}  | {'precision': 0.9430104317173852, 'recall': 0.9431989544586308, 'f1-score': 0.9427836699134436, 'support': 29841.0} |
-| 0.0008        | 31.0  | 2511 | 0.5121          | {'precision': 0.8910741301059002, 'recall': 0.9096525096525097, 'f1-score': 0.9002674818494459, 'support': 1295.0} | {'precision': 0.9544454763184906, 'recall': 0.9731871417891852, 'f1-score': 0.9637251998815517, 'support': 20065.0} | {'precision': 0.9333746898263028, 'recall': 0.8870416224501828, 'f1-score': 0.9096185236684602, 'support': 8481.0} | 0.9459   | {'precision': 0.9262980987502312, 'recall': 0.9232937579639593, 'f1-score': 0.9245370684664859, 'support': 29841.0} | {'precision': 0.945706920855016, 'recall': 0.9459468516470627, 'f1-score': 0.9455938884035581, 'support': 29841.0}  |
-| 0.0008        | 32.0  | 2592 | 0.5489          | {'precision': 0.8843537414965986, 'recall': 0.9034749034749034, 'f1-score': 0.8938120702826584, 'support': 1295.0} | {'precision': 0.962041163803896, 'recall': 0.9574383254423124, 'f1-score': 0.9597342259079783, 'support': 20065.0}  | {'precision': 0.8995204117440636, 'recall': 0.9067326966159651, 'f1-score': 0.903112155020552, 'support': 8481.0}  | 0.9407   | {'precision': 0.9153051056815195, 'recall': 0.9225486418443937, 'f1-score': 0.9188861504037296, 'support': 29841.0} | {'precision': 0.9409009972509189, 'recall': 0.9406856338594551, 'f1-score': 0.9407810750507332, 'support': 29841.0} |
-| 0.0008        | 33.0  | 2673 | 0.5183          | {'precision': 0.8888888888888888, 'recall': 0.9142857142857143, 'f1-score': 0.9014084507042254, 'support': 1295.0} | {'precision': 0.9538994969966303, 'recall': 0.9734861699476701, 'f1-score': 0.963593310640817, 'support': 20065.0}  | {'precision': 0.9343874501992032, 'recall': 0.8849192312227332, 'f1-score': 0.9089808030036942, 'support': 8481.0} | 0.9457   | {'precision': 0.9257252786949075, 'recall': 0.9242303718187058, 'f1-score': 0.9246608547829123, 'support': 29841.0} | {'precision': 0.9455328066582199, 'recall': 0.9457457859991287, 'f1-score': 0.945373476490208, 'support': 29841.0}  |
-| 0.0008        | 34.0  | 2754 | 0.5136          | {'precision': 0.8836174944403261, 'recall': 0.9204633204633205, 'f1-score': 0.9016641452344931, 'support': 1295.0} | {'precision': 0.9545343436812516, 'recall': 0.9730874657363568, 'f1-score': 0.9637216189536032, 'support': 20065.0} | {'precision': 0.934428269254697, 'recall': 0.8855087843414692, 'f1-score': 0.9093110546070954, 'support': 8481.0}  | 0.9459   | {'precision': 0.9241933691254248, 'recall': 0.9263531901803822, 'f1-score': 0.9248989395983972, 'support': 29841.0} | {'precision': 0.9457425157606522, 'recall': 0.9459133407057404, 'f1-score': 0.9455647064946046, 'support': 29841.0} |
-| 0.0008        | 35.0  | 2835 | 0.5343          | {'precision': 0.8950570342205323, 'recall': 0.9088803088803089, 'f1-score': 0.9019157088122605, 'support': 1295.0} | {'precision': 0.9589537423069288, 'recall': 0.9629205083478695, 'f1-score': 0.9609330316066944, 'support': 20065.0} | {'precision': 0.9103604678920983, 'recall': 0.8993043273198915, 'f1-score': 0.90479862388042, 'support': 8481.0}   | 0.9425   | {'precision': 0.9214570814731865, 'recall': 0.9237017148493566, 'f1-score': 0.922549121433125, 'support': 29841.0}  | {'precision': 0.9423703236117087, 'recall': 0.9424952246908616, 'f1-score': 0.9424181244338341, 'support': 29841.0} |
-| 0.0008        | 36.0  | 2916 | 0.5333          | {'precision': 0.8875471698113208, 'recall': 0.9081081081081082, 'f1-score': 0.8977099236641222, 'support': 1295.0} | {'precision': 0.9573501826438938, 'recall': 0.9665586842761027, 'f1-score': 0.9619323959030825, 'support': 20065.0} | {'precision': 0.9183821748607411, 'recall': 0.894234170498762, 'f1-score': 0.9061473206284726, 'support': 8481.0}  | 0.9435   | {'precision': 0.9210931757719852, 'recall': 0.9229669876276576, 'f1-score': 0.9219298800652257, 'support': 29841.0} | {'precision': 0.9432460113484581, 'recall': 0.9434670419892095, 'f1-score': 0.943290885063854, 'support': 29841.0}  |
-| 0.0008        | 37.0  | 2997 | 0.5846          | {'precision': 0.8894009216589862, 'recall': 0.8942084942084942, 'f1-score': 0.8917982287254526, 'support': 1295.0} | {'precision': 0.9608089120835006, 'recall': 0.9542486917518066, 'f1-score': 0.9575175655739755, 'support': 20065.0} | {'precision': 0.8909534316571827, 'recall': 0.9046103053885155, 'f1-score': 0.8977299321319915, 'support': 8481.0} | 0.9375   | {'precision': 0.9137210884665565, 'recall': 0.9176891637829389, 'f1-score': 0.9156819088104732, 'support': 29841.0} | {'precision': 0.9378566759957238, 'recall': 0.937535605375155, 'f1-score': 0.937673543576043, 'support': 29841.0}   |
-| 0.0006        | 38.0  | 3078 | 0.5537          | {'precision': 0.8970814132104454, 'recall': 0.901930501930502, 'f1-score': 0.8994994224104735, 'support': 1295.0}  | {'precision': 0.9586482881280569, 'recall': 0.9670570645402442, 'f1-score': 0.9628343174713442, 'support': 20065.0} | {'precision': 0.918173053747891, 'recall': 0.8983610423299139, 'f1-score': 0.9081590082841646, 'support': 8481.0}  | 0.9447   | {'precision': 0.9246342516954645, 'recall': 0.9224495362668866, 'f1-score': 0.9234975827219941, 'support': 29841.0} | {'precision': 0.9444731744992745, 'recall': 0.9447069468181362, 'f1-score': 0.9445467270313357, 'support': 29841.0} |
-| 0.0006        | 39.0  | 3159 | 0.5527          | {'precision': 0.9005439005439005, 'recall': 0.894980694980695, 'f1-score': 0.8977536793183579, 'support': 1295.0}  | {'precision': 0.9580264003559599, 'recall': 0.9657612758534762, 'f1-score': 0.9618782884939938, 'support': 20065.0} | {'precision': 0.914254833673592, 'recall': 0.8976535785874308, 'f1-score': 0.9058781532603523, 'support': 8481.0}  | 0.9433   | {'precision': 0.9242750448578175, 'recall': 0.919465183140534, 'f1-score': 0.9218367070242347, 'support': 29841.0}  | {'precision': 0.9430916966164814, 'recall': 0.9433329982239201, 'f1-score': 0.9431799031919275, 'support': 29841.0} |
-| 0.0006        | 40.0  | 3240 | 0.5522          | {'precision': 0.8869760479041916, 'recall': 0.915057915057915, 'f1-score': 0.9007981755986316, 'support': 1295.0}  | {'precision': 0.9550308611737043, 'recall': 0.9716421629703463, 'f1-score': 0.9632649027891005, 'support': 20065.0} | {'precision': 0.9304165121740205, 'recall': 0.8876311755689188, 'f1-score': 0.908520395848419, 'support': 8481.0}  | 0.9453   | {'precision': 0.9241411404173054, 'recall': 0.9247770845323934, 'f1-score': 0.9241944914120505, 'support': 29841.0} | {'precision': 0.9450819560750032, 'recall': 0.9453101437619382, 'f1-score': 0.9449953215057797, 'support': 29841.0} |
-| 0.0006        | 41.0  | 3321 | 0.5732          | {'precision': 0.8831562974203339, 'recall': 0.8988416988416988, 'f1-score': 0.8909299655568312, 'support': 1295.0} | {'precision': 0.9606626294980232, 'recall': 0.956640917019686, 'f1-score': 0.9586475553113918, 'support': 20065.0}  | {'precision': 0.897096698665418, 'recall': 0.9035491097747907, 'f1-score': 0.900311343476473, 'support': 8481.0}   | 0.9390   | {'precision': 0.9136385418612583, 'recall': 0.9196772418787251, 'f1-score': 0.916629621448232, 'support': 29841.0}  | {'precision': 0.9392332752728989, 'recall': 0.9390435977346604, 'f1-score': 0.9391293189485319, 'support': 29841.0} |
-| 0.0006        | 42.0  | 3402 | 0.5546          | {'precision': 0.8879636638909917, 'recall': 0.9057915057915058, 'f1-score': 0.8967889908256882, 'support': 1295.0} | {'precision': 0.9596376847658389, 'recall': 0.9609768253177174, 'f1-score': 0.9603067881866627, 'support': 20065.0} | {'precision': 0.906372374510502, 'recall': 0.9006013441811107, 'f1-score': 0.9034776437189497, 'support': 8481.0}  | 0.9414   | {'precision': 0.9179912410557775, 'recall': 0.9224565584301113, 'f1-score': 0.9201911409104335, 'support': 29841.0} | {'precision': 0.9413889346130814, 'recall': 0.9414228745685467, 'f1-score': 0.9413991268544976, 'support': 29841.0} |
-| 0.0006        | 43.0  | 3483 | 0.5374          | {'precision': 0.8885542168674698, 'recall': 0.9111969111969112, 'f1-score': 0.8997331300038124, 'support': 1295.0} | {'precision': 0.957137239480928, 'recall': 0.9704460503364066, 'f1-score': 0.9637457002152986, 'support': 20065.0}  | {'precision': 0.9272860815277267, 'recall': 0.8931729748850371, 'f1-score': 0.9099099099099098, 'support': 8481.0} | 0.9459   | {'precision': 0.9243258459587081, 'recall': 0.9249386454727849, 'f1-score': 0.9244629133763403, 'support': 29841.0} | {'precision': 0.9456770777944722, 'recall': 0.9459133407057404, 'f1-score': 0.9456672974806759, 'support': 29841.0} |
-| 0.0002        | 44.0  | 3564 | 0.5376          | {'precision': 0.8880540946656649, 'recall': 0.9127413127413128, 'f1-score': 0.9002284843869003, 'support': 1295.0} | {'precision': 0.9583271760011822, 'recall': 0.9695988038873661, 'f1-score': 0.963930040132785, 'support': 20065.0}  | {'precision': 0.9259349494457303, 'recall': 0.8962386511024644, 'f1-score': 0.910844817255842, 'support': 8481.0}  | 0.9463   | {'precision': 0.9241054067041925, 'recall': 0.9261929225770477, 'f1-score': 0.9250011139251758, 'support': 29841.0} | {'precision': 0.9460714837071478, 'recall': 0.9462819610602862, 'f1-score': 0.9460784503767355, 'support': 29841.0} |
-| 0.0002        | 45.0  | 3645 | 0.5380          | {'precision': 0.8884730538922155, 'recall': 0.9166023166023166, 'f1-score': 0.9023185100722159, 'support': 1295.0} | {'precision': 0.9571709233791749, 'recall': 0.9712434587590332, 'f1-score': 0.9641558441558441, 'support': 20065.0} | {'precision': 0.9298956414978514, 'recall': 0.8930550642612899, 'f1-score': 0.9111030915433657, 'support': 8481.0} | 0.9467   | {'precision': 0.9251798729230806, 'recall': 0.92696694654088, 'f1-score': 0.9258591485904751, 'support': 29841.0}   | {'precision': 0.9464378579114923, 'recall': 0.9466505814148319, 'f1-score': 0.9463943836637451, 'support': 29841.0} |
-| 0.0002        | 46.0  | 3726 | 0.5363          | {'precision': 0.8895567242674681, 'recall': 0.9142857142857143, 'f1-score': 0.9017517136329019, 'support': 1295.0} | {'precision': 0.9572292414335578, 'recall': 0.9703962123099925, 'f1-score': 0.9637677572637727, 'support': 20065.0} | {'precision': 0.927775737544375, 'recall': 0.893644617380026, 'f1-score': 0.9103903903903904, 'support': 8481.0}   | 0.9461   | {'precision': 0.9248539010818003, 'recall': 0.926108847991911, 'f1-score': 0.9253032870956882, 'support': 29841.0}  | {'precision': 0.9459216084382076, 'recall': 0.9461479172949968, 'f1-score': 0.9459062839567411, 'support': 29841.0} |
-| 0.0002        | 47.0  | 3807 | 0.5368          | {'precision': 0.8894736842105263, 'recall': 0.9135135135135135, 'f1-score': 0.9013333333333334, 'support': 1295.0} | {'precision': 0.9573620537031573, 'recall': 0.9701968602043359, 'f1-score': 0.9637367261565881, 'support': 20065.0} | {'precision': 0.9272349272349273, 'recall': 0.8939983492512675, 'f1-score': 0.9103133629487334, 'support': 8481.0} | 0.9461   | {'precision': 0.9246902217162036, 'recall': 0.9259029076563724, 'f1-score': 0.9251278074795518, 'support': 29841.0} | {'precision': 0.9458536056595257, 'recall': 0.9460808954123522, 'f1-score': 0.9458453707371339, 'support': 29841.0} |
-| 0.0002        | 48.0  | 3888 | 0.5330          | {'precision': 0.887060583395662, 'recall': 0.9158301158301159, 'f1-score': 0.9012158054711246, 'support': 1295.0}  | {'precision': 0.957161784189607, 'recall': 0.972140543234488, 'f1-score': 0.9645930175056869, 'support': 20065.0}   | {'precision': 0.9319384615384615, 'recall': 0.8928192430137956, 'f1-score': 0.9119595326990244, 'support': 8481.0} | 0.9472   | {'precision': 0.9253869430412435, 'recall': 0.9269299673594665, 'f1-score': 0.9259227852252786, 'support': 29841.0} | {'precision': 0.9469509985446042, 'recall': 0.9471532455346671, 'f1-score': 0.9468838899888457, 'support': 29841.0} |
-| 0.0002        | 49.0  | 3969 | 0.5338          | {'precision': 0.8869760479041916, 'recall': 0.915057915057915, 'f1-score': 0.9007981755986316, 'support': 1295.0}  | {'precision': 0.9572578270684071, 'recall': 0.9721903812609021, 'f1-score': 0.9646663205004574, 'support': 20065.0} | {'precision': 0.9319552110249785, 'recall': 0.8930550642612899, 'f1-score': 0.9120905587668594, 'support': 8481.0} | 0.9472   | {'precision': 0.9253963619991925, 'recall': 0.9267677868600357, 'f1-score': 0.9258516849553162, 'support': 29841.0} | {'precision': 0.9470166692425308, 'recall': 0.9472202674173118, 'f1-score': 0.9469522933931048, 'support': 29841.0} |
-| 0.0001        | 50.0  | 4050 | 0.5342          | {'precision': 0.8877245508982036, 'recall': 0.9158301158301159, 'f1-score': 0.9015583428354238, 'support': 1295.0} | {'precision': 0.9571680894907271, 'recall': 0.9722900573137304, 'f1-score': 0.9646698148193934, 'support': 20065.0} | {'precision': 0.9321679182568017, 'recall': 0.8928192430137956, 'f1-score': 0.912069380872079, 'support': 8481.0}  | 0.9473   | {'precision': 0.9256868528819107, 'recall': 0.9269798053858805, 'f1-score': 0.9260991795089654, 'support': 29841.0} | {'precision': 0.9470492652317465, 'recall': 0.9472537783586341, 'f1-score': 0.9469816127977985, 'support': 29841.0} |
+| 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

meta_data/README_s42_e50.md

@@ -17,12 +17,12 @@ model-index:
       name: essays_su_g
       type: essays_su_g
       config: spans
-      split: train[40%:60%]
+      split: train[60%:80%]
       args: spans
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9472537783586341
+      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: 0.5342
-- B: {'precision': 0.8877245508982036, 'recall': 0.9158301158301159, 'f1-score': 0.9015583428354238, 'support': 1295.0}
-- I: {'precision': 0.9571680894907271, 'recall': 0.9722900573137304, 'f1-score': 0.9646698148193934, 'support': 20065.0}
-- O: {'precision': 0.9321679182568017, 'recall': 0.8928192430137956, 'f1-score': 0.912069380872079, 'support': 8481.0}
-- Accuracy: 0.9473
-- Macro avg: {'precision': 0.9256868528819107, 'recall': 0.9269798053858805, 'f1-score': 0.9260991795089654, 'support': 29841.0}
-- Weighted avg: {'precision': 0.9470492652317465, 'recall': 0.9472537783586341, 'f1-score': 0.9469816127977985, 'support': 29841.0}
+- 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   | 0.2451          | {'precision': 0.7866108786610879, 'recall': 0.871042471042471, 'f1-score': 0.8266764382557715, 'support': 1295.0}  | {'precision': 0.9344077040239768, 'recall': 0.9478195863443808, 'f1-score': 0.9410658617447671, 'support': 20065.0} | {'precision': 0.8789421405512788, 'recall': 0.8346893055064262, 'f1-score': 0.8562443302086484, 'support': 8481.0} | 0.9123   | {'precision': 0.8666535744121145, 'recall': 0.8845171209644261, 'f1-score': 0.8746622100697291, 'support': 29841.0} | {'precision': 0.9122301519092053, 'recall': 0.912335377500754, 'f1-score': 0.9119949287205363, 'support': 29841.0}  |
-| No log        | 2.0   | 162  | 0.2008          | {'precision': 0.8537463976945245, 'recall': 0.915057915057915, 'f1-score': 0.8833395452851286, 'support': 1295.0}  | {'precision': 0.9516903430183636, 'recall': 0.958235733864939, 'f1-score': 0.9549518227873249, 'support': 20065.0}  | {'precision': 0.9016969696969697, 'recall': 0.877137130055418, 'f1-score': 0.88924750463212, 'support': 8481.0}    | 0.9333   | {'precision': 0.9023779034699526, 'recall': 0.916810259659424, 'f1-score': 0.9091796242348579, 'support': 29841.0}  | {'precision': 0.9332314707173981, 'recall': 0.9333132267685399, 'f1-score': 0.9331705077630417, 'support': 29841.0} |
-| No log        | 3.0   | 243  | 0.1986          | {'precision': 0.8889739663093414, 'recall': 0.8965250965250965, 'f1-score': 0.8927335640138409, 'support': 1295.0} | {'precision': 0.9586653386454184, 'recall': 0.9593820084724645, 'f1-score': 0.9590235396687009, 'support': 20065.0} | {'precision': 0.9020697811945594, 'recall': 0.8993043273198915, 'f1-score': 0.9006849315068494, 'support': 8481.0} | 0.9396   | {'precision': 0.9165696953831063, 'recall': 0.9184038107724842, 'f1-score': 0.9174806783964637, 'support': 29841.0} | {'precision': 0.9395561516236713, 'recall': 0.9395797727958178, 'f1-score': 0.9395665759512081, 'support': 29841.0} |
-| No log        | 4.0   | 324  | 0.1974          | {'precision': 0.893455098934551, 'recall': 0.9065637065637066, 'f1-score': 0.8999616711383672, 'support': 1295.0}  | {'precision': 0.9436362763454799, 'recall': 0.9795664091701969, 'f1-score': 0.9612657113512985, 'support': 20065.0} | {'precision': 0.9454403741231489, 'recall': 0.8581535196321188, 'f1-score': 0.8996847765622102, 'support': 8481.0} | 0.9419   | {'precision': 0.9275105831343932, 'recall': 0.9147612117886741, 'f1-score': 0.920304053017292, 'support': 29841.0}  | {'precision': 0.9419713163409645, 'recall': 0.9418920277470594, 'f1-score': 0.9411036309913238, 'support': 29841.0} |
-| No log        | 5.0   | 405  | 0.2340          | {'precision': 0.8919540229885058, 'recall': 0.8988416988416988, 'f1-score': 0.8953846153846153, 'support': 1295.0} | {'precision': 0.9581224570804803, 'recall': 0.9623722900573137, 'f1-score': 0.9602426713742261, 'support': 20065.0} | {'precision': 0.9075399665950847, 'recall': 0.8969461148449476, 'f1-score': 0.9022119433078337, 'support': 8481.0} | 0.9410   | {'precision': 0.9192054822213569, 'recall': 0.9193867012479867, 'f1-score': 0.9192797433555584, 'support': 29841.0} | {'precision': 0.9408751053176122, 'recall': 0.9410207432726785, 'f1-score': 0.9409353496612266, 'support': 29841.0} |
-| No log        | 6.0   | 486  | 0.2177          | {'precision': 0.9068471337579618, 'recall': 0.8795366795366796, 'f1-score': 0.8929831438651511, 'support': 1295.0} | {'precision': 0.9655225409836066, 'recall': 0.9392972838275604, 'f1-score': 0.9522293798155866, 'support': 20065.0} | {'precision': 0.8599007170435742, 'recall': 0.919113312109421, 'f1-score': 0.8885216003647556, 'support': 8481.0}  | 0.9310   | {'precision': 0.9107567972617142, 'recall': 0.9126490918245537, 'f1-score': 0.9112447080151643, 'support': 29841.0} | {'precision': 0.9329578366776978, 'recall': 0.930967460875976, 'f1-score': 0.9315521386682287, 'support': 29841.0}  |
-| 0.1627        | 7.0   | 567  | 0.2738          | {'precision': 0.8704245973645681, 'recall': 0.9181467181467181, 'f1-score': 0.8936490041337843, 'support': 1295.0} | {'precision': 0.9477800446905664, 'recall': 0.9723897333665587, 'f1-score': 0.9599271850630982, 'support': 20065.0} | {'precision': 0.9316770186335404, 'recall': 0.8666430845419172, 'f1-score': 0.8979841172877214, 'support': 8481.0} | 0.9400   | {'precision': 0.9166272202295582, 'recall': 0.9190598453517312, 'f1-score': 0.9171867688282013, 'support': 29841.0} | {'precision': 0.9398464945991887, 'recall': 0.9399819040916859, 'f1-score': 0.9394463230910989, 'support': 29841.0} |
-| 0.1627        | 8.0   | 648  | 0.3103          | {'precision': 0.8651766402307137, 'recall': 0.9266409266409267, 'f1-score': 0.8948545861297539, 'support': 1295.0} | {'precision': 0.9414702069429106, 'recall': 0.9772240219287316, 'f1-score': 0.9590139880661254, 'support': 20065.0} | {'precision': 0.9427035531663825, 'recall': 0.8477773847423653, 'f1-score': 0.8927241122423641, 'support': 8481.0} | 0.9382   | {'precision': 0.916450133446669, 'recall': 0.9172141111040079, 'f1-score': 0.9155308954794145, 'support': 29841.0}  | {'precision': 0.9385098450391195, 'recall': 0.9382393351429241, 'f1-score': 0.9373896838414373, 'support': 29841.0} |
-| 0.1627        | 9.0   | 729  | 0.3288          | {'precision': 0.8749090909090909, 'recall': 0.9289575289575289, 'f1-score': 0.9011235955056179, 'support': 1295.0} | {'precision': 0.9485040973670175, 'recall': 0.9748816346872664, 'f1-score': 0.9615119937082186, 'support': 20065.0} | {'precision': 0.9380339155935229, 'recall': 0.8674684589081476, 'f1-score': 0.9013722126929674, 'support': 8481.0} | 0.9424   | {'precision': 0.9204823679565438, 'recall': 0.9237692075176476, 'f1-score': 0.9213359339689347, 'support': 29841.0} | {'precision': 0.9423346276781992, 'recall': 0.9423611809255722, 'f1-score': 0.9417992341337168, 'support': 29841.0} |
-| 0.1627        | 10.0  | 810  | 0.3041          | {'precision': 0.8801498127340824, 'recall': 0.9073359073359073, 'f1-score': 0.8935361216730039, 'support': 1295.0} | {'precision': 0.9596359319351009, 'recall': 0.9668577124345876, 'f1-score': 0.9632332861646931, 'support': 20065.0} | {'precision': 0.9200241254523522, 'recall': 0.8993043273198915, 'f1-score': 0.9095462405342556, 'support': 8481.0} | 0.9451   | {'precision': 0.9199366233738452, 'recall': 0.9244993156967954, 'f1-score': 0.9221052161239841, 'support': 29841.0} | {'precision': 0.9449285744355027, 'recall': 0.9450755671726819, 'f1-score': 0.9449504651463465, 'support': 29841.0} |
-| 0.1627        | 11.0  | 891  | 0.3531          | {'precision': 0.8729689807976366, 'recall': 0.9127413127413128, 'f1-score': 0.8924122310305775, 'support': 1295.0} | {'precision': 0.9483330083837005, 'recall': 0.9696486419137802, 'f1-score': 0.9588723786993913, 'support': 20065.0} | {'precision': 0.9243507715468574, 'recall': 0.8687654757693668, 'f1-score': 0.8956965718453683, 'support': 8481.0} | 0.9385   | {'precision': 0.9152175869093981, 'recall': 0.9170518101414866, 'f1-score': 0.9156603938584458, 'support': 29841.0} | {'precision': 0.9382465579853486, 'recall': 0.9385074226735028, 'f1-score': 0.938033267772811, 'support': 29841.0}  |
-| 0.1627        | 12.0  | 972  | 0.4237          | {'precision': 0.8768436578171092, 'recall': 0.9181467181467181, 'f1-score': 0.8970199924556771, 'support': 1295.0} | {'precision': 0.9431046931407943, 'recall': 0.9764764515325193, 'f1-score': 0.9595004897159647, 'support': 20065.0} | {'precision': 0.9400778210116731, 'recall': 0.8546162009197029, 'f1-score': 0.8953122104873078, 'support': 8481.0} | 0.9393   | {'precision': 0.9200087239898588, 'recall': 0.9164131235329801, 'f1-score': 0.9172775642196499, 'support': 29841.0} | {'precision': 0.9393689288141548, 'recall': 0.9393116852652391, 'f1-score': 0.9385463313402296, 'support': 29841.0} |
-| 0.0196        | 13.0  | 1053 | 0.4309          | {'precision': 0.8716617210682492, 'recall': 0.9073359073359073, 'f1-score': 0.8891411275066211, 'support': 1295.0} | {'precision': 0.9563736860287223, 'recall': 0.9658111138798904, 'f1-score': 0.9610692322951795, 'support': 20065.0} | {'precision': 0.918104495747266, 'recall': 0.8909326730338404, 'f1-score': 0.9043145233678416, 'support': 8481.0}  | 0.9420   | {'precision': 0.9153799676147458, 'recall': 0.9213598980832126, 'f1-score': 0.9181749610565474, 'support': 29841.0} | {'precision': 0.9418211242043584, 'recall': 0.9419925605710264, 'f1-score': 0.9418177466843106, 'support': 29841.0} |
-| 0.0196        | 14.0  | 1134 | 0.4199          | {'precision': 0.8933434190620272, 'recall': 0.911969111969112, 'f1-score': 0.9025601834161253, 'support': 1295.0}  | {'precision': 0.9570764513895758, 'recall': 0.9645651632195366, 'f1-score': 0.960806215404473, 'support': 20065.0}  | {'precision': 0.9131011208870676, 'recall': 0.8932908855087843, 'f1-score': 0.9030873763261413, 'support': 8481.0} | 0.9420   | {'precision': 0.9211736637795568, 'recall': 0.9232750535658111, 'f1-score': 0.9221512583822467, 'support': 29841.0} | {'precision': 0.9418125843993292, 'recall': 0.9420260715123487, 'f1-score': 0.9418744743217934, 'support': 29841.0} |
-| 0.0196        | 15.0  | 1215 | 0.3918          | {'precision': 0.8861047835990888, 'recall': 0.9011583011583012, 'f1-score': 0.8935681470137825, 'support': 1295.0} | {'precision': 0.9595530063291139, 'recall': 0.9671567405930726, 'f1-score': 0.9633398694432723, 'support': 20065.0} | {'precision': 0.92, 'recall': 0.9003655229336163, 'f1-score': 0.9100768726535964, 'support': 8481.0}               | 0.9453   | {'precision': 0.9218859299760677, 'recall': 0.9228935215616634, 'f1-score': 0.9223282963702171, 'support': 29841.0} | {'precision': 0.9451243847979119, 'recall': 0.9453101437619382, 'f1-score': 0.945174330208011, 'support': 29841.0}  |
-| 0.0196        | 16.0  | 1296 | 0.4405          | {'precision': 0.895738203957382, 'recall': 0.9088803088803089, 'f1-score': 0.9022614028363357, 'support': 1295.0}  | {'precision': 0.9552494853445741, 'recall': 0.9712932967854473, 'f1-score': 0.9632045864531594, 'support': 20065.0} | {'precision': 0.9282461538461538, 'recall': 0.8892819243013795, 'f1-score': 0.9083463808262073, 'support': 8481.0} | 0.9453   | {'precision': 0.92641128104937, 'recall': 0.9231518433223785, 'f1-score': 0.9246041233719008, 'support': 29841.0}   | {'precision': 0.944992377210312, 'recall': 0.9452766328206159, 'f1-score': 0.9449688080038458, 'support': 29841.0}  |
-| 0.0196        | 17.0  | 1377 | 0.4657          | {'precision': 0.8618705035971223, 'recall': 0.9250965250965251, 'f1-score': 0.8923649906890131, 'support': 1295.0} | {'precision': 0.9498902171261283, 'recall': 0.97024669823075, 'f1-score': 0.9599605522682445, 'support': 20065.0}   | {'precision': 0.9298642533936652, 'recall': 0.8723027944817828, 'f1-score': 0.9001642635517431, 'support': 8481.0} | 0.9405   | {'precision': 0.9138749913723053, 'recall': 0.9225486726030193, 'f1-score': 0.9174966021696669, 'support': 29841.0} | {'precision': 0.9403789498282803, 'recall': 0.9404510572701987, 'f1-score': 0.940032648483192, 'support': 29841.0}  |
-| 0.0196        | 18.0  | 1458 | 0.4731          | {'precision': 0.9024767801857585, 'recall': 0.9003861003861003, 'f1-score': 0.9014302280633939, 'support': 1295.0} | {'precision': 0.9506496024820632, 'recall': 0.9773236979815599, 'f1-score': 0.9638021281301453, 'support': 20065.0} | {'precision': 0.9404115641964399, 'recall': 0.87831623629289, 'f1-score': 0.9083038653822705, 'support': 8481.0}   | 0.9458   | {'precision': 0.9311793156214204, 'recall': 0.9186753448868501, 'f1-score': 0.9245120738586032, 'support': 29841.0} | {'precision': 0.9456493475450943, 'recall': 0.9458463188230958, 'f1-score': 0.9453224398840687, 'support': 29841.0} |
-| 0.0038        | 19.0  | 1539 | 0.4952          | {'precision': 0.868828297715549, 'recall': 0.9104247104247104, 'f1-score': 0.8891402714932127, 'support': 1295.0}  | {'precision': 0.9571718572065158, 'recall': 0.9634687266384251, 'f1-score': 0.9603099696984749, 'support': 20065.0} | {'precision': 0.913358271992277, 'recall': 0.8924655111425539, 'f1-score': 0.9027910305343512, 'support': 8481.0}  | 0.9410   | {'precision': 0.9131194756381139, 'recall': 0.9221196494018965, 'f1-score': 0.9174137572420129, 'support': 29841.0} | {'precision': 0.9408859443435835, 'recall': 0.9409872323313562, 'f1-score': 0.9408741973642117, 'support': 29841.0} |
-| 0.0038        | 20.0  | 1620 | 0.4591          | {'precision': 0.8940548780487805, 'recall': 0.9057915057915058, 'f1-score': 0.899884925201381, 'support': 1295.0}  | {'precision': 0.951896887159533, 'recall': 0.9753800149514079, 'f1-score': 0.9634953846153845, 'support': 20065.0}  | {'precision': 0.9365039528171665, 'recall': 0.8799669850253508, 'f1-score': 0.9073556231003039, 'support': 8481.0} | 0.9452   | {'precision': 0.9274852393418267, 'recall': 0.9203795019227549, 'f1-score': 0.9235786443056897, 'support': 29841.0} | {'precision': 0.9450119678218422, 'recall': 0.9452431218792936, 'f1-score': 0.9447796290324438, 'support': 29841.0} |
-| 0.0038        | 21.0  | 1701 | 0.4614          | {'precision': 0.8893129770992366, 'recall': 0.8996138996138996, 'f1-score': 0.8944337811900192, 'support': 1295.0} | {'precision': 0.9549624687239366, 'recall': 0.9700971841515076, 'f1-score': 0.9624703322784811, 'support': 20065.0} | {'precision': 0.9251350024545901, 'recall': 0.8888102818063908, 'f1-score': 0.9066089361958025, 'support': 8481.0} | 0.9439   | {'precision': 0.9231368160925877, 'recall': 0.9195071218572659, 'f1-score': 0.9211710165547675, 'support': 29841.0} | {'precision': 0.9436363458364894, 'recall': 0.9439361951677223, 'f1-score': 0.9436416122678664, 'support': 29841.0} |
-| 0.0038        | 22.0  | 1782 | 0.4725          | {'precision': 0.8912386706948641, 'recall': 0.9111969111969112, 'f1-score': 0.9011072928598702, 'support': 1295.0} | {'precision': 0.9558585511795576, 'recall': 0.9712932967854473, 'f1-score': 0.9635141147970535, 'support': 20065.0} | {'precision': 0.9292568897637795, 'recall': 0.8905789411625987, 'f1-score': 0.9095068938527304, 'support': 8481.0} | 0.9457   | {'precision': 0.9254513705460671, 'recall': 0.9243563830483191, 'f1-score': 0.9247094338365515, 'support': 29841.0} | {'precision': 0.9454939040264833, 'recall': 0.9457457859991287, 'f1-score': 0.9454566745223489, 'support': 29841.0} |
-| 0.0038        | 23.0  | 1863 | 0.4747          | {'precision': 0.8771280532938565, 'recall': 0.915057915057915, 'f1-score': 0.8956916099773242, 'support': 1295.0}  | {'precision': 0.9609957269204015, 'recall': 0.9639172688761525, 'f1-score': 0.9624542808091362, 'support': 20065.0} | {'precision': 0.914753706360593, 'recall': 0.9021341822898243, 'f1-score': 0.9084001187295934, 'support': 8481.0}  | 0.9442   | {'precision': 0.9176258288582838, 'recall': 0.927036455407964, 'f1-score': 0.9221820031720179, 'support': 29841.0}  | {'precision': 0.9442138759866489, 'recall': 0.9442377936396233, 'f1-score': 0.9441944702356367, 'support': 29841.0} |
-| 0.0038        | 24.0  | 1944 | 0.4713          | {'precision': 0.8899773926149209, 'recall': 0.911969111969112, 'f1-score': 0.9008390541571321, 'support': 1295.0}  | {'precision': 0.9553151918559123, 'recall': 0.9727884375778719, 'f1-score': 0.9639726399486381, 'support': 20065.0} | {'precision': 0.9325661964860184, 'recall': 0.8886923711826435, 'f1-score': 0.9101008271448409, 'support': 8481.0} | 0.9462   | {'precision': 0.9259529269856172, 'recall': 0.9244833069098758, 'f1-score': 0.9249708404168704, 'support': 29841.0} | {'precision': 0.9460143413566277, 'recall': 0.9462484501189639, 'f1-score': 0.9459221443892064, 'support': 29841.0} |
-| 0.0014        | 25.0  | 2025 | 0.4857          | {'precision': 0.8803290949887809, 'recall': 0.9088803088803089, 'f1-score': 0.8943768996960487, 'support': 1295.0} | {'precision': 0.9610305798252582, 'recall': 0.9648143533516073, 'f1-score': 0.9629187495336865, 'support': 20065.0} | {'precision': 0.9155502392344498, 'recall': 0.9024879141610659, 'f1-score': 0.9089721512974288, 'support': 8481.0} | 0.9447   | {'precision': 0.9189699713494962, 'recall': 0.925394192130994, 'f1-score': 0.922089266842388, 'support': 29841.0}   | {'precision': 0.944602605179171, 'recall': 0.9446734358768137, 'f1-score': 0.9446122988389564, 'support': 29841.0}  |
-| 0.0014        | 26.0  | 2106 | 0.4858          | {'precision': 0.8845577211394303, 'recall': 0.9111969111969112, 'f1-score': 0.897679726131609, 'support': 1295.0}  | {'precision': 0.9560839023431743, 'recall': 0.9699975080986792, 'f1-score': 0.962990450744644, 'support': 20065.0}  | {'precision': 0.9261349693251534, 'recall': 0.8899893880438627, 'f1-score': 0.9077024833142927, 'support': 8481.0} | 0.9447   | {'precision': 0.9222588642692527, 'recall': 0.9237279357798177, 'f1-score': 0.9227908867301818, 'support': 29841.0} | {'precision': 0.9444682290887698, 'recall': 0.9447069468181362, 'f1-score': 0.94444299455515, 'support': 29841.0}   |
-| 0.0014        | 27.0  | 2187 | 0.4996          | {'precision': 0.8871331828442438, 'recall': 0.9104247104247104, 'f1-score': 0.8986280487804879, 'support': 1295.0} | {'precision': 0.9557796360059027, 'recall': 0.9684026912534264, 'f1-score': 0.9620497586334943, 'support': 20065.0} | {'precision': 0.9219017355169885, 'recall': 0.8893998349251268, 'f1-score': 0.9053591790193843, 'support': 8481.0} | 0.9434   | {'precision': 0.9216048514557116, 'recall': 0.9227424122010879, 'f1-score': 0.9220123288111223, 'support': 29841.0} | {'precision': 0.9431722960745722, 'recall': 0.9434335310478872, 'f1-score': 0.9431856481825407, 'support': 29841.0} |
-| 0.0014        | 28.0  | 2268 | 0.4975          | {'precision': 0.8821752265861027, 'recall': 0.901930501930502, 'f1-score': 0.8919434898816342, 'support': 1295.0}  | {'precision': 0.9630706017938568, 'recall': 0.9578868676800398, 'f1-score': 0.9604717405427016, 'support': 20065.0} | {'precision': 0.9003504672897197, 'recall': 0.9087371772196675, 'f1-score': 0.9045243823719267, 'support': 8481.0} | 0.9415   | {'precision': 0.9151987652232264, 'recall': 0.9228515156100698, 'f1-score': 0.9189798709320876, 'support': 29841.0} | {'precision': 0.9417345550251954, 'recall': 0.9414898964511913, 'f1-score': 0.941597251442054, 'support': 29841.0}  |
-| 0.0014        | 29.0  | 2349 | 0.4865          | {'precision': 0.8826568265682657, 'recall': 0.9235521235521236, 'f1-score': 0.9026415094339624, 'support': 1295.0} | {'precision': 0.9565730005895068, 'recall': 0.9704460503364066, 'f1-score': 0.963459587838005, 'support': 20065.0}  | {'precision': 0.929520295202952, 'recall': 0.8910505836575876, 'f1-score': 0.9098789958461262, 'support': 8481.0}  | 0.9458   | {'precision': 0.9229167074535748, 'recall': 0.9283495858487059, 'f1-score': 0.9253266977060312, 'support': 29841.0} | {'precision': 0.9456767357277099, 'recall': 0.9458463188230958, 'f1-score': 0.9455923443737659, 'support': 29841.0} |
-| 0.0014        | 30.0  | 2430 | 0.5332          | {'precision': 0.8798219584569733, 'recall': 0.9158301158301159, 'f1-score': 0.8974650018917897, 'support': 1295.0} | {'precision': 0.9515704252828716, 'recall': 0.9723897333665587, 'f1-score': 0.9618674357267865, 'support': 20065.0} | {'precision': 0.9324070597070973, 'recall': 0.87831623629289, 'f1-score': 0.9045537340619307, 'support': 8481.0}   | 0.9432   | {'precision': 0.9212664811489807, 'recall': 0.9221786951631882, 'f1-score': 0.921295390560169, 'support': 29841.0}  | {'precision': 0.9430104317173852, 'recall': 0.9431989544586308, 'f1-score': 0.9427836699134436, 'support': 29841.0} |
-| 0.0008        | 31.0  | 2511 | 0.5121          | {'precision': 0.8910741301059002, 'recall': 0.9096525096525097, 'f1-score': 0.9002674818494459, 'support': 1295.0} | {'precision': 0.9544454763184906, 'recall': 0.9731871417891852, 'f1-score': 0.9637251998815517, 'support': 20065.0} | {'precision': 0.9333746898263028, 'recall': 0.8870416224501828, 'f1-score': 0.9096185236684602, 'support': 8481.0} | 0.9459   | {'precision': 0.9262980987502312, 'recall': 0.9232937579639593, 'f1-score': 0.9245370684664859, 'support': 29841.0} | {'precision': 0.945706920855016, 'recall': 0.9459468516470627, 'f1-score': 0.9455938884035581, 'support': 29841.0}  |
-| 0.0008        | 32.0  | 2592 | 0.5489          | {'precision': 0.8843537414965986, 'recall': 0.9034749034749034, 'f1-score': 0.8938120702826584, 'support': 1295.0} | {'precision': 0.962041163803896, 'recall': 0.9574383254423124, 'f1-score': 0.9597342259079783, 'support': 20065.0}  | {'precision': 0.8995204117440636, 'recall': 0.9067326966159651, 'f1-score': 0.903112155020552, 'support': 8481.0}  | 0.9407   | {'precision': 0.9153051056815195, 'recall': 0.9225486418443937, 'f1-score': 0.9188861504037296, 'support': 29841.0} | {'precision': 0.9409009972509189, 'recall': 0.9406856338594551, 'f1-score': 0.9407810750507332, 'support': 29841.0} |
-| 0.0008        | 33.0  | 2673 | 0.5183          | {'precision': 0.8888888888888888, 'recall': 0.9142857142857143, 'f1-score': 0.9014084507042254, 'support': 1295.0} | {'precision': 0.9538994969966303, 'recall': 0.9734861699476701, 'f1-score': 0.963593310640817, 'support': 20065.0}  | {'precision': 0.9343874501992032, 'recall': 0.8849192312227332, 'f1-score': 0.9089808030036942, 'support': 8481.0} | 0.9457   | {'precision': 0.9257252786949075, 'recall': 0.9242303718187058, 'f1-score': 0.9246608547829123, 'support': 29841.0} | {'precision': 0.9455328066582199, 'recall': 0.9457457859991287, 'f1-score': 0.945373476490208, 'support': 29841.0}  |
-| 0.0008        | 34.0  | 2754 | 0.5136          | {'precision': 0.8836174944403261, 'recall': 0.9204633204633205, 'f1-score': 0.9016641452344931, 'support': 1295.0} | {'precision': 0.9545343436812516, 'recall': 0.9730874657363568, 'f1-score': 0.9637216189536032, 'support': 20065.0} | {'precision': 0.934428269254697, 'recall': 0.8855087843414692, 'f1-score': 0.9093110546070954, 'support': 8481.0}  | 0.9459   | {'precision': 0.9241933691254248, 'recall': 0.9263531901803822, 'f1-score': 0.9248989395983972, 'support': 29841.0} | {'precision': 0.9457425157606522, 'recall': 0.9459133407057404, 'f1-score': 0.9455647064946046, 'support': 29841.0} |
-| 0.0008        | 35.0  | 2835 | 0.5343          | {'precision': 0.8950570342205323, 'recall': 0.9088803088803089, 'f1-score': 0.9019157088122605, 'support': 1295.0} | {'precision': 0.9589537423069288, 'recall': 0.9629205083478695, 'f1-score': 0.9609330316066944, 'support': 20065.0} | {'precision': 0.9103604678920983, 'recall': 0.8993043273198915, 'f1-score': 0.90479862388042, 'support': 8481.0}   | 0.9425   | {'precision': 0.9214570814731865, 'recall': 0.9237017148493566, 'f1-score': 0.922549121433125, 'support': 29841.0}  | {'precision': 0.9423703236117087, 'recall': 0.9424952246908616, 'f1-score': 0.9424181244338341, 'support': 29841.0} |
-| 0.0008        | 36.0  | 2916 | 0.5333          | {'precision': 0.8875471698113208, 'recall': 0.9081081081081082, 'f1-score': 0.8977099236641222, 'support': 1295.0} | {'precision': 0.9573501826438938, 'recall': 0.9665586842761027, 'f1-score': 0.9619323959030825, 'support': 20065.0} | {'precision': 0.9183821748607411, 'recall': 0.894234170498762, 'f1-score': 0.9061473206284726, 'support': 8481.0}  | 0.9435   | {'precision': 0.9210931757719852, 'recall': 0.9229669876276576, 'f1-score': 0.9219298800652257, 'support': 29841.0} | {'precision': 0.9432460113484581, 'recall': 0.9434670419892095, 'f1-score': 0.943290885063854, 'support': 29841.0}  |
-| 0.0008        | 37.0  | 2997 | 0.5846          | {'precision': 0.8894009216589862, 'recall': 0.8942084942084942, 'f1-score': 0.8917982287254526, 'support': 1295.0} | {'precision': 0.9608089120835006, 'recall': 0.9542486917518066, 'f1-score': 0.9575175655739755, 'support': 20065.0} | {'precision': 0.8909534316571827, 'recall': 0.9046103053885155, 'f1-score': 0.8977299321319915, 'support': 8481.0} | 0.9375   | {'precision': 0.9137210884665565, 'recall': 0.9176891637829389, 'f1-score': 0.9156819088104732, 'support': 29841.0} | {'precision': 0.9378566759957238, 'recall': 0.937535605375155, 'f1-score': 0.937673543576043, 'support': 29841.0}   |
-| 0.0006        | 38.0  | 3078 | 0.5537          | {'precision': 0.8970814132104454, 'recall': 0.901930501930502, 'f1-score': 0.8994994224104735, 'support': 1295.0}  | {'precision': 0.9586482881280569, 'recall': 0.9670570645402442, 'f1-score': 0.9628343174713442, 'support': 20065.0} | {'precision': 0.918173053747891, 'recall': 0.8983610423299139, 'f1-score': 0.9081590082841646, 'support': 8481.0}  | 0.9447   | {'precision': 0.9246342516954645, 'recall': 0.9224495362668866, 'f1-score': 0.9234975827219941, 'support': 29841.0} | {'precision': 0.9444731744992745, 'recall': 0.9447069468181362, 'f1-score': 0.9445467270313357, 'support': 29841.0} |
-| 0.0006        | 39.0  | 3159 | 0.5527          | {'precision': 0.9005439005439005, 'recall': 0.894980694980695, 'f1-score': 0.8977536793183579, 'support': 1295.0}  | {'precision': 0.9580264003559599, 'recall': 0.9657612758534762, 'f1-score': 0.9618782884939938, 'support': 20065.0} | {'precision': 0.914254833673592, 'recall': 0.8976535785874308, 'f1-score': 0.9058781532603523, 'support': 8481.0}  | 0.9433   | {'precision': 0.9242750448578175, 'recall': 0.919465183140534, 'f1-score': 0.9218367070242347, 'support': 29841.0}  | {'precision': 0.9430916966164814, 'recall': 0.9433329982239201, 'f1-score': 0.9431799031919275, 'support': 29841.0} |
-| 0.0006        | 40.0  | 3240 | 0.5522          | {'precision': 0.8869760479041916, 'recall': 0.915057915057915, 'f1-score': 0.9007981755986316, 'support': 1295.0}  | {'precision': 0.9550308611737043, 'recall': 0.9716421629703463, 'f1-score': 0.9632649027891005, 'support': 20065.0} | {'precision': 0.9304165121740205, 'recall': 0.8876311755689188, 'f1-score': 0.908520395848419, 'support': 8481.0}  | 0.9453   | {'precision': 0.9241411404173054, 'recall': 0.9247770845323934, 'f1-score': 0.9241944914120505, 'support': 29841.0} | {'precision': 0.9450819560750032, 'recall': 0.9453101437619382, 'f1-score': 0.9449953215057797, 'support': 29841.0} |
-| 0.0006        | 41.0  | 3321 | 0.5732          | {'precision': 0.8831562974203339, 'recall': 0.8988416988416988, 'f1-score': 0.8909299655568312, 'support': 1295.0} | {'precision': 0.9606626294980232, 'recall': 0.956640917019686, 'f1-score': 0.9586475553113918, 'support': 20065.0}  | {'precision': 0.897096698665418, 'recall': 0.9035491097747907, 'f1-score': 0.900311343476473, 'support': 8481.0}   | 0.9390   | {'precision': 0.9136385418612583, 'recall': 0.9196772418787251, 'f1-score': 0.916629621448232, 'support': 29841.0}  | {'precision': 0.9392332752728989, 'recall': 0.9390435977346604, 'f1-score': 0.9391293189485319, 'support': 29841.0} |
-| 0.0006        | 42.0  | 3402 | 0.5546          | {'precision': 0.8879636638909917, 'recall': 0.9057915057915058, 'f1-score': 0.8967889908256882, 'support': 1295.0} | {'precision': 0.9596376847658389, 'recall': 0.9609768253177174, 'f1-score': 0.9603067881866627, 'support': 20065.0} | {'precision': 0.906372374510502, 'recall': 0.9006013441811107, 'f1-score': 0.9034776437189497, 'support': 8481.0}  | 0.9414   | {'precision': 0.9179912410557775, 'recall': 0.9224565584301113, 'f1-score': 0.9201911409104335, 'support': 29841.0} | {'precision': 0.9413889346130814, 'recall': 0.9414228745685467, 'f1-score': 0.9413991268544976, 'support': 29841.0} |
-| 0.0006        | 43.0  | 3483 | 0.5374          | {'precision': 0.8885542168674698, 'recall': 0.9111969111969112, 'f1-score': 0.8997331300038124, 'support': 1295.0} | {'precision': 0.957137239480928, 'recall': 0.9704460503364066, 'f1-score': 0.9637457002152986, 'support': 20065.0}  | {'precision': 0.9272860815277267, 'recall': 0.8931729748850371, 'f1-score': 0.9099099099099098, 'support': 8481.0} | 0.9459   | {'precision': 0.9243258459587081, 'recall': 0.9249386454727849, 'f1-score': 0.9244629133763403, 'support': 29841.0} | {'precision': 0.9456770777944722, 'recall': 0.9459133407057404, 'f1-score': 0.9456672974806759, 'support': 29841.0} |
-| 0.0002        | 44.0  | 3564 | 0.5376          | {'precision': 0.8880540946656649, 'recall': 0.9127413127413128, 'f1-score': 0.9002284843869003, 'support': 1295.0} | {'precision': 0.9583271760011822, 'recall': 0.9695988038873661, 'f1-score': 0.963930040132785, 'support': 20065.0}  | {'precision': 0.9259349494457303, 'recall': 0.8962386511024644, 'f1-score': 0.910844817255842, 'support': 8481.0}  | 0.9463   | {'precision': 0.9241054067041925, 'recall': 0.9261929225770477, 'f1-score': 0.9250011139251758, 'support': 29841.0} | {'precision': 0.9460714837071478, 'recall': 0.9462819610602862, 'f1-score': 0.9460784503767355, 'support': 29841.0} |
-| 0.0002        | 45.0  | 3645 | 0.5380          | {'precision': 0.8884730538922155, 'recall': 0.9166023166023166, 'f1-score': 0.9023185100722159, 'support': 1295.0} | {'precision': 0.9571709233791749, 'recall': 0.9712434587590332, 'f1-score': 0.9641558441558441, 'support': 20065.0} | {'precision': 0.9298956414978514, 'recall': 0.8930550642612899, 'f1-score': 0.9111030915433657, 'support': 8481.0} | 0.9467   | {'precision': 0.9251798729230806, 'recall': 0.92696694654088, 'f1-score': 0.9258591485904751, 'support': 29841.0}   | {'precision': 0.9464378579114923, 'recall': 0.9466505814148319, 'f1-score': 0.9463943836637451, 'support': 29841.0} |
-| 0.0002        | 46.0  | 3726 | 0.5363          | {'precision': 0.8895567242674681, 'recall': 0.9142857142857143, 'f1-score': 0.9017517136329019, 'support': 1295.0} | {'precision': 0.9572292414335578, 'recall': 0.9703962123099925, 'f1-score': 0.9637677572637727, 'support': 20065.0} | {'precision': 0.927775737544375, 'recall': 0.893644617380026, 'f1-score': 0.9103903903903904, 'support': 8481.0}   | 0.9461   | {'precision': 0.9248539010818003, 'recall': 0.926108847991911, 'f1-score': 0.9253032870956882, 'support': 29841.0}  | {'precision': 0.9459216084382076, 'recall': 0.9461479172949968, 'f1-score': 0.9459062839567411, 'support': 29841.0} |
-| 0.0002        | 47.0  | 3807 | 0.5368          | {'precision': 0.8894736842105263, 'recall': 0.9135135135135135, 'f1-score': 0.9013333333333334, 'support': 1295.0} | {'precision': 0.9573620537031573, 'recall': 0.9701968602043359, 'f1-score': 0.9637367261565881, 'support': 20065.0} | {'precision': 0.9272349272349273, 'recall': 0.8939983492512675, 'f1-score': 0.9103133629487334, 'support': 8481.0} | 0.9461   | {'precision': 0.9246902217162036, 'recall': 0.9259029076563724, 'f1-score': 0.9251278074795518, 'support': 29841.0} | {'precision': 0.9458536056595257, 'recall': 0.9460808954123522, 'f1-score': 0.9458453707371339, 'support': 29841.0} |
-| 0.0002        | 48.0  | 3888 | 0.5330          | {'precision': 0.887060583395662, 'recall': 0.9158301158301159, 'f1-score': 0.9012158054711246, 'support': 1295.0}  | {'precision': 0.957161784189607, 'recall': 0.972140543234488, 'f1-score': 0.9645930175056869, 'support': 20065.0}   | {'precision': 0.9319384615384615, 'recall': 0.8928192430137956, 'f1-score': 0.9119595326990244, 'support': 8481.0} | 0.9472   | {'precision': 0.9253869430412435, 'recall': 0.9269299673594665, 'f1-score': 0.9259227852252786, 'support': 29841.0} | {'precision': 0.9469509985446042, 'recall': 0.9471532455346671, 'f1-score': 0.9468838899888457, 'support': 29841.0} |
-| 0.0002        | 49.0  | 3969 | 0.5338          | {'precision': 0.8869760479041916, 'recall': 0.915057915057915, 'f1-score': 0.9007981755986316, 'support': 1295.0}  | {'precision': 0.9572578270684071, 'recall': 0.9721903812609021, 'f1-score': 0.9646663205004574, 'support': 20065.0} | {'precision': 0.9319552110249785, 'recall': 0.8930550642612899, 'f1-score': 0.9120905587668594, 'support': 8481.0} | 0.9472   | {'precision': 0.9253963619991925, 'recall': 0.9267677868600357, 'f1-score': 0.9258516849553162, 'support': 29841.0} | {'precision': 0.9470166692425308, 'recall': 0.9472202674173118, 'f1-score': 0.9469522933931048, 'support': 29841.0} |
-| 0.0001        | 50.0  | 4050 | 0.5342          | {'precision': 0.8877245508982036, 'recall': 0.9158301158301159, 'f1-score': 0.9015583428354238, 'support': 1295.0} | {'precision': 0.9571680894907271, 'recall': 0.9722900573137304, 'f1-score': 0.9646698148193934, 'support': 20065.0} | {'precision': 0.9321679182568017, 'recall': 0.8928192430137956, 'f1-score': 0.912069380872079, 'support': 8481.0}  | 0.9473   | {'precision': 0.9256868528819107, 'recall': 0.9269798053858805, 'f1-score': 0.9260991795089654, 'support': 29841.0} | {'precision': 0.9470492652317465, 'recall': 0.9472537783586341, 'f1-score': 0.9469816127977985, 'support': 29841.0} |
+| 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