Theoreticallyhugo
/

longformer-sep_tok_full_labels

@@ -17,12 +17,12 @@ model-index:
       name: essays_su_g
       type: essays_su_g
       config: sep_tok_full_labels
-      split: train[80%:100%]
       args: sep_tok_full_labels
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8987712506312069
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,17 +32,17 @@ 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: 0.4995
-- B-claim: {'precision': 0.6529850746268657, 'recall': 0.6457564575645757, 'f1-score': 0.6493506493506495, 'support': 271.0}
-- B-majorclaim: {'precision': 0.8591549295774648, 'recall': 0.8776978417266187, 'f1-score': 0.8683274021352312, 'support': 139.0}
-- B-premise: {'precision': 0.8767772511848341, 'recall': 0.8767772511848341, 'f1-score': 0.876777251184834, 'support': 633.0}
-- I-claim: {'precision': 0.6591271953166578, 'recall': 0.6190952261934516, 'f1-score': 0.6384843407655625, 'support': 4001.0}
-- I-majorclaim: {'precision': 0.8964467005076142, 'recall': 0.877297565822156, 'f1-score': 0.8867687672608586, 'support': 2013.0}
-- I-premise: {'precision': 0.885505376344086, 'recall': 0.9080804516584333, 'f1-score': 0.8966508427333304, 'support': 11336.0}
-- O: {'precision': 1.0, 'recall': 0.9997347949080623, 'f1-score': 0.9998673798682641, 'support': 11312.0}
-- Accuracy: 0.8988
-- Macro avg: {'precision': 0.8328566467939318, 'recall': 0.829205655579733, 'f1-score': 0.8308895190426757, 'support': 29705.0}
-- Weighted avg: {'precision': 0.896925957019205, 'recall': 0.8987712506312069, 'f1-score': 0.8977022947337076, 'support': 29705.0}
 ## Model description
@@ -67,33 +67,67 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 16
 ### Training results
-| Training Loss | Epoch | Step | Validation Loss | B-claim                                                                                                              | B-majorclaim                                                                                                       | B-premise                                                                                                         | I-claim                                                                                                            | I-majorclaim                                                                                                       | I-premise                                                                                                           | O                                                                                                                   | Accuracy | Macro avg                                                                                                           | Weighted avg                                                                                                        |
-|:-------------:|:-----:|:----:|:---------------:|:--------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:--------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|
-| No log        | 1.0   | 41   | 0.4083          | {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 271.0}                                                 | {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 139.0}                                               | {'precision': 0.643595041322314, 'recall': 0.9842022116903634, 'f1-score': 0.778263585259213, 'support': 633.0}   | {'precision': 0.4563708012760368, 'recall': 0.6078480379905024, 'f1-score': 0.5213290460878884, 'support': 4001.0} | {'precision': 0.7011784511784511, 'recall': 0.4138102334823646, 'f1-score': 0.520462355513902, 'support': 2013.0}  | {'precision': 0.8778050331607159, 'recall': 0.8523288637967537, 'f1-score': 0.8648793805666204, 'support': 11336.0} | {'precision': 0.9991081780076697, 'recall': 0.9903642149929278, 'f1-score': 0.9947169811320755, 'support': 11312.0} | 0.8333   | {'precision': 0.5254367864207411, 'recall': 0.5497933659932731, 'f1-score': 0.5256644783656713, 'support': 29705.0} | {'precision': 0.8381591322948091, 'recall': 0.8332940582393537, 'f1-score': 0.830926787853407, 'support': 29705.0}  |
-| No log        | 2.0   | 82   | 0.2959          | {'precision': 0.38823529411764707, 'recall': 0.24354243542435425, 'f1-score': 0.29931972789115646, 'support': 271.0} | {'precision': 0.8620689655172413, 'recall': 0.17985611510791366, 'f1-score': 0.2976190476190476, 'support': 139.0} | {'precision': 0.7422802850356295, 'recall': 0.9873617693522907, 'f1-score': 0.8474576271186441, 'support': 633.0} | {'precision': 0.5749261291684254, 'recall': 0.340414896275931, 'f1-score': 0.42762951334379906, 'support': 4001.0} | {'precision': 0.7699071812408402, 'recall': 0.7829110779930452, 'f1-score': 0.7763546798029557, 'support': 2013.0} | {'precision': 0.8290439755777108, 'recall': 0.9462773465067043, 'f1-score': 0.8837899073120494, 'support': 11336.0} | {'precision': 0.9999115748518879, 'recall': 0.9996463932107497, 'f1-score': 0.9997789664471067, 'support': 11312.0} | 0.8648   | {'precision': 0.7380533436441974, 'recall': 0.6400014334101413, 'f1-score': 0.6474213527906798, 'support': 29705.0} | {'precision': 0.850161508562683, 'recall': 0.8648039050664871, 'f1-score': 0.8503893311871605, 'support': 29705.0}  |
-| No log        | 3.0   | 123  | 0.2633          | {'precision': 0.61328125, 'recall': 0.5793357933579336, 'f1-score': 0.5958254269449716, 'support': 271.0}            | {'precision': 0.7655172413793103, 'recall': 0.7985611510791367, 'f1-score': 0.7816901408450705, 'support': 139.0}  | {'precision': 0.8738317757009346, 'recall': 0.8862559241706162, 'f1-score': 0.88, 'support': 633.0}               | {'precision': 0.6150895140664961, 'recall': 0.6010997250687328, 'f1-score': 0.6080141575022121, 'support': 4001.0} | {'precision': 0.7346859149434257, 'recall': 0.9354197714853453, 'f1-score': 0.8229895104895104, 'support': 2013.0} | {'precision': 0.9111703104905383, 'recall': 0.875, 'f1-score': 0.8927189271892718, 'support': 11336.0}              | {'precision': 1.0, 'recall': 0.9992043847241867, 'f1-score': 0.9996020340481981, 'support': 11312.0}                | 0.8867   | {'precision': 0.7876537152258151, 'recall': 0.8106966785551358, 'f1-score': 0.7972628852884621, 'support': 29705.0} | {'precision': 0.8889636142603039, 'recall': 0.8866857431408853, 'f1-score': 0.8868495578802252, 'support': 29705.0} |
-| No log        | 4.0   | 164  | 0.2767          | {'precision': 0.6180555555555556, 'recall': 0.6568265682656826, 'f1-score': 0.6368515205724509, 'support': 271.0}    | {'precision': 0.7368421052631579, 'recall': 0.9064748201438849, 'f1-score': 0.8129032258064516, 'support': 139.0}  | {'precision': 0.9126712328767124, 'recall': 0.8420221169036335, 'f1-score': 0.8759244042728019, 'support': 633.0} | {'precision': 0.6039107545750815, 'recall': 0.6020994751312172, 'f1-score': 0.6030037546933668, 'support': 4001.0} | {'precision': 0.7743306417339566, 'recall': 0.905116741182315, 'f1-score': 0.8346312414109024, 'support': 2013.0}  | {'precision': 0.9007175946952494, 'recall': 0.8747353563867325, 'f1-score': 0.8875363616021481, 'support': 11336.0} | {'precision': 1.0, 'recall': 0.9999115983026874, 'f1-score': 0.9999557971975424, 'support': 11312.0}                | 0.8852   | {'precision': 0.7923611263856734, 'recall': 0.8267409537594504, 'f1-score': 0.8072580436508092, 'support': 29705.0} | {'precision': 0.8868925824921324, 'recall': 0.8852045110250799, 'f1-score': 0.8855540596827394, 'support': 29705.0} |
-| No log        | 5.0   | 205  | 0.2875          | {'precision': 0.6273885350318471, 'recall': 0.7269372693726938, 'f1-score': 0.6735042735042734, 'support': 271.0}    | {'precision': 0.7865853658536586, 'recall': 0.9280575539568345, 'f1-score': 0.8514851485148515, 'support': 139.0}  | {'precision': 0.9257950530035336, 'recall': 0.8278041074249605, 'f1-score': 0.8740617180984154, 'support': 633.0} | {'precision': 0.5824691841126981, 'recall': 0.744063984003999, 'f1-score': 0.6534240561896401, 'support': 4001.0}  | {'precision': 0.8339432753888381, 'recall': 0.9056135121708893, 'f1-score': 0.8683019766611098, 'support': 2013.0} | {'precision': 0.9326903957049115, 'recall': 0.8275405786873676, 'f1-score': 0.8769748527624568, 'support': 11336.0} | {'precision': 1.0, 'recall': 0.9994695898161244, 'f1-score': 0.9997347245556637, 'support': 11312.0}                | 0.8866   | {'precision': 0.8126959727279266, 'recall': 0.8513552279189812, 'f1-score': 0.8282123928980587, 'support': 29705.0} | {'precision': 0.90084333519953, 'recall': 0.8866184144083488, 'f1-score': 0.8909875382676978, 'support': 29705.0}   |
-| No log        | 6.0   | 246  | 0.2945          | {'precision': 0.6326530612244898, 'recall': 0.6863468634686347, 'f1-score': 0.6584070796460177, 'support': 271.0}    | {'precision': 0.8818897637795275, 'recall': 0.8057553956834532, 'f1-score': 0.8421052631578947, 'support': 139.0}  | {'precision': 0.8858520900321544, 'recall': 0.8704581358609794, 'f1-score': 0.8780876494023905, 'support': 633.0} | {'precision': 0.6304404482668752, 'recall': 0.6045988502874281, 'f1-score': 0.6172492982903802, 'support': 4001.0} | {'precision': 0.8976501305483029, 'recall': 0.8539493293591655, 'f1-score': 0.8752545824847251, 'support': 2013.0} | {'precision': 0.8802859357505813, 'recall': 0.9016407904022583, 'f1-score': 0.8908354033206956, 'support': 11336.0} | {'precision': 1.0, 'recall': 0.9988507779349364, 'f1-score': 0.9994250585997965, 'support': 11312.0}                | 0.8923   | {'precision': 0.829824489943133, 'recall': 0.8173714489995507, 'f1-score': 0.8230520478431285, 'support': 29705.0}  | {'precision': 0.8912660947222903, 'recall': 0.8923413566739606, 'f1-score': 0.8916619674856285, 'support': 29705.0} |
-| No log        | 7.0   | 287  | 0.3037          | {'precision': 0.6442953020134228, 'recall': 0.7084870848708487, 'f1-score': 0.6748681898066783, 'support': 271.0}    | {'precision': 0.8705035971223022, 'recall': 0.8705035971223022, 'f1-score': 0.8705035971223022, 'support': 139.0}  | {'precision': 0.8991735537190083, 'recall': 0.8593996840442338, 'f1-score': 0.8788368336025849, 'support': 633.0} | {'precision': 0.6310387984981226, 'recall': 0.6300924768807799, 'f1-score': 0.6305652826413206, 'support': 4001.0} | {'precision': 0.891640866873065, 'recall': 0.8584202682563339, 'f1-score': 0.8747152619589977, 'support': 2013.0}  | {'precision': 0.8886845331932037, 'recall': 0.8951129146083274, 'f1-score': 0.8918871407225103, 'support': 11336.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | 0.8943   | {'precision': 0.832190950202732, 'recall': 0.8317165751118323, 'f1-score': 0.8316251865506278, 'support': 29705.0}  | {'precision': 0.8944813348740749, 'recall': 0.8942938899175223, 'f1-score': 0.894338297946804, 'support': 29705.0}  |
-| No log        | 8.0   | 328  | 0.3549          | {'precision': 0.6498054474708171, 'recall': 0.6162361623616236, 'f1-score': 0.6325757575757576, 'support': 271.0}    | {'precision': 0.8796992481203008, 'recall': 0.841726618705036, 'f1-score': 0.8602941176470588, 'support': 139.0}   | {'precision': 0.863914373088685, 'recall': 0.8925750394944708, 'f1-score': 0.8780108780108781, 'support': 633.0}  | {'precision': 0.644374282433984, 'recall': 0.5611097225693576, 'f1-score': 0.5998663994655979, 'support': 4001.0}  | {'precision': 0.9037546271813856, 'recall': 0.8489816194734228, 'f1-score': 0.8755122950819673, 'support': 2013.0} | {'precision': 0.8685594989561587, 'recall': 0.9175194071983063, 'f1-score': 0.8923684097636309, 'support': 11336.0} | {'precision': 1.0, 'recall': 0.9999115983026874, 'f1-score': 0.9999557971975424, 'support': 11312.0}                | 0.8926   | {'precision': 0.8300153538930474, 'recall': 0.811151452586415, 'f1-score': 0.8197976649632047, 'support': 29705.0}  | {'precision': 0.8887602531095763, 'recall': 0.892610671604107, 'f1-score': 0.8899730612246367, 'support': 29705.0}  |
-| No log        | 9.0   | 369  | 0.3716          | {'precision': 0.6468531468531469, 'recall': 0.6826568265682657, 'f1-score': 0.6642728904847396, 'support': 271.0}    | {'precision': 0.8333333333333334, 'recall': 0.8633093525179856, 'f1-score': 0.8480565371024734, 'support': 139.0}  | {'precision': 0.8941368078175895, 'recall': 0.8672985781990521, 'f1-score': 0.8805132317562149, 'support': 633.0} | {'precision': 0.6205917159763313, 'recall': 0.6553361659585104, 'f1-score': 0.637490882567469, 'support': 4001.0}  | {'precision': 0.8750640040962622, 'recall': 0.8489816194734228, 'f1-score': 0.8618255168935955, 'support': 2013.0} | {'precision': 0.8960551033187226, 'recall': 0.8836450247000706, 'f1-score': 0.8898067954696869, 'support': 11336.0} | {'precision': 1.0, 'recall': 0.9992927864214993, 'f1-score': 0.9996462681287585, 'support': 11312.0}                | 0.8923   | {'precision': 0.8237191587707694, 'recall': 0.8286457648341152, 'f1-score': 0.8259445889147053, 'support': 29705.0} | {'precision': 0.8945056752252882, 'recall': 0.8923076923076924, 'f1-score': 0.8933030430182268, 'support': 29705.0} |
-| No log        | 10.0  | 410  | 0.4143          | {'precision': 0.6746987951807228, 'recall': 0.6199261992619927, 'f1-score': 0.6461538461538461, 'support': 271.0}    | {'precision': 0.8157894736842105, 'recall': 0.8920863309352518, 'f1-score': 0.852233676975945, 'support': 139.0}   | {'precision': 0.8785046728971962, 'recall': 0.8909952606635071, 'f1-score': 0.8847058823529412, 'support': 633.0} | {'precision': 0.6611758023288838, 'recall': 0.5818545363659086, 'f1-score': 0.6189843126827972, 'support': 4001.0} | {'precision': 0.8256503879507074, 'recall': 0.8986587183308494, 'f1-score': 0.8606089438629877, 'support': 2013.0} | {'precision': 0.8856627437505369, 'recall': 0.9094918842625265, 'f1-score': 0.8974191582887234, 'support': 11336.0} | {'precision': 1.0, 'recall': 0.9997347949080623, 'f1-score': 0.9998673798682641, 'support': 11312.0}                | 0.8959   | {'precision': 0.8202116965417511, 'recall': 0.8275353892468712, 'f1-score': 0.822853314312215, 'support': 29705.0}  | {'precision': 0.8924963153509083, 'recall': 0.8958761151321326, 'f1-score': 0.8936607445011815, 'support': 29705.0} |
-| No log        | 11.0  | 451  | 0.4242          | {'precision': 0.6442953020134228, 'recall': 0.7084870848708487, 'f1-score': 0.6748681898066783, 'support': 271.0}    | {'precision': 0.8661971830985915, 'recall': 0.8848920863309353, 'f1-score': 0.8754448398576513, 'support': 139.0}  | {'precision': 0.8988391376451078, 'recall': 0.8562401263823065, 'f1-score': 0.8770226537216829, 'support': 633.0} | {'precision': 0.6332931242460796, 'recall': 0.6560859785053736, 'f1-score': 0.6444880923152466, 'support': 4001.0} | {'precision': 0.8797595190380761, 'recall': 0.8723298559364133, 'f1-score': 0.8760289348964829, 'support': 2013.0} | {'precision': 0.8979136947218259, 'recall': 0.8884086097388849, 'f1-score': 0.8931358637814828, 'support': 11336.0} | {'precision': 1.0, 'recall': 0.9993811881188119, 'f1-score': 0.9996904982977407, 'support': 11312.0}                | 0.8959   | {'precision': 0.8314711372518719, 'recall': 0.8379749899833678, 'f1-score': 0.8343827246681379, 'support': 29705.0} | {'precision': 0.8974745650471141, 'recall': 0.8959434438646693, 'f1-score': 0.8966457372110589, 'support': 29705.0} |
-| No log        | 12.0  | 492  | 0.4911          | {'precision': 0.6926605504587156, 'recall': 0.5571955719557196, 'f1-score': 0.6175869120654396, 'support': 271.0}    | {'precision': 0.8759124087591241, 'recall': 0.8633093525179856, 'f1-score': 0.8695652173913043, 'support': 139.0}  | {'precision': 0.8461538461538461, 'recall': 0.9210110584518167, 'f1-score': 0.8819969742813918, 'support': 633.0} | {'precision': 0.6817567567567567, 'recall': 0.5043739065233691, 'f1-score': 0.5798017526217497, 'support': 4001.0} | {'precision': 0.9035639412997903, 'recall': 0.8564331843020367, 'f1-score': 0.8793675082887019, 'support': 2013.0} | {'precision': 0.8544101168560909, 'recall': 0.9416901905434015, 'f1-score': 0.8959295006294586, 'support': 11336.0} | {'precision': 1.0, 'recall': 0.9988507779349364, 'f1-score': 0.9994250585997965, 'support': 11312.0}                | 0.8945   | {'precision': 0.8363510886120462, 'recall': 0.8061234346041807, 'f1-score': 0.8176675605539775, 'support': 29705.0} | {'precision': 0.888377522333214, 'recall': 0.8944622117488639, 'f1-score': 0.8886802353660483, 'support': 29705.0}  |
-| 0.1948        | 13.0  | 533  | 0.4856          | {'precision': 0.6967213114754098, 'recall': 0.6273062730627307, 'f1-score': 0.6601941747572815, 'support': 271.0}    | {'precision': 0.8689655172413793, 'recall': 0.9064748201438849, 'f1-score': 0.8873239436619718, 'support': 139.0}  | {'precision': 0.8715596330275229, 'recall': 0.9004739336492891, 'f1-score': 0.8857808857808857, 'support': 633.0} | {'precision': 0.6689675007190107, 'recall': 0.5813546613346663, 'f1-score': 0.622091468307034, 'support': 4001.0}  | {'precision': 0.8964467005076142, 'recall': 0.877297565822156, 'f1-score': 0.8867687672608586, 'support': 2013.0}  | {'precision': 0.8748636172891313, 'recall': 0.9195483415666902, 'f1-score': 0.8966496064685389, 'support': 11336.0} | {'precision': 1.0, 'recall': 0.998939179632249, 'f1-score': 0.9994693083318592, 'support': 11312.0}                 | 0.8982   | {'precision': 0.8396463257514384, 'recall': 0.8301992536016665, 'f1-score': 0.8340397363669184, 'support': 29705.0} | {'precision': 0.8945239883555292, 'recall': 0.898232620770914, 'f1-score': 0.8957219390068148, 'support': 29705.0}  |
-| 0.1948        | 14.0  | 574  | 0.4750          | {'precision': 0.6655052264808362, 'recall': 0.7047970479704797, 'f1-score': 0.6845878136200716, 'support': 271.0}    | {'precision': 0.8661971830985915, 'recall': 0.8848920863309353, 'f1-score': 0.8754448398576513, 'support': 139.0}  | {'precision': 0.8973941368078175, 'recall': 0.8704581358609794, 'f1-score': 0.8837209302325582, 'support': 633.0} | {'precision': 0.6448780487804878, 'recall': 0.6608347913021745, 'f1-score': 0.6527589186520183, 'support': 4001.0} | {'precision': 0.8922610015174507, 'recall': 0.8763040238450075, 'f1-score': 0.8842105263157896, 'support': 2013.0} | {'precision': 0.8977292886287032, 'recall': 0.8928193366266761, 'f1-score': 0.8952675807164971, 'support': 11336.0} | {'precision': 1.0, 'recall': 0.9999115983026874, 'f1-score': 0.9999557971975424, 'support': 11312.0}                | 0.8990   | {'precision': 0.8377092693305553, 'recall': 0.8414310028912771, 'f1-score': 0.839420915227447, 'support': 29705.0}  | {'precision': 0.899974465529261, 'recall': 0.899006901195085, 'f1-score': 0.8994601237155254, 'support': 29705.0}   |
-| 0.1948        | 15.0  | 615  | 0.5226          | {'precision': 0.6761133603238867, 'recall': 0.6162361623616236, 'f1-score': 0.6447876447876448, 'support': 271.0}    | {'precision': 0.8695652173913043, 'recall': 0.8633093525179856, 'f1-score': 0.8664259927797834, 'support': 139.0}  | {'precision': 0.8677811550151976, 'recall': 0.9020537124802528, 'f1-score': 0.8845855925639039, 'support': 633.0} | {'precision': 0.6685476685476686, 'recall': 0.5626093476630842, 'f1-score': 0.6110206297502714, 'support': 4001.0} | {'precision': 0.8988186954288649, 'recall': 0.8693492300049677, 'f1-score': 0.8838383838383838, 'support': 2013.0} | {'precision': 0.8697276652274992, 'recall': 0.9240472829922372, 'f1-score': 0.8960650128314799, 'support': 11336.0} | {'precision': 1.0, 'recall': 0.9992927864214993, 'f1-score': 0.9996462681287585, 'support': 11312.0}                | 0.8968   | {'precision': 0.8357933945620601, 'recall': 0.8195568392059501, 'f1-score': 0.8266242178114608, 'support': 29705.0} | {'precision': 0.8924024852976349, 'recall': 0.8967513886551086, 'f1-score': 0.8936126955615038, 'support': 29705.0} |
-| 0.1948        | 16.0  | 656  | 0.4995          | {'precision': 0.6529850746268657, 'recall': 0.6457564575645757, 'f1-score': 0.6493506493506495, 'support': 271.0}    | {'precision': 0.8591549295774648, 'recall': 0.8776978417266187, 'f1-score': 0.8683274021352312, 'support': 139.0}  | {'precision': 0.8767772511848341, 'recall': 0.8767772511848341, 'f1-score': 0.876777251184834, 'support': 633.0}  | {'precision': 0.6591271953166578, 'recall': 0.6190952261934516, 'f1-score': 0.6384843407655625, 'support': 4001.0} | {'precision': 0.8964467005076142, 'recall': 0.877297565822156, 'f1-score': 0.8867687672608586, 'support': 2013.0}  | {'precision': 0.885505376344086, 'recall': 0.9080804516584333, 'f1-score': 0.8966508427333304, 'support': 11336.0}  | {'precision': 1.0, 'recall': 0.9997347949080623, 'f1-score': 0.9998673798682641, 'support': 11312.0}                | 0.8988   | {'precision': 0.8328566467939318, 'recall': 0.829205655579733, 'f1-score': 0.8308895190426757, 'support': 29705.0}  | {'precision': 0.896925957019205, 'recall': 0.8987712506312069, 'f1-score': 0.8977022947337076, 'support': 29705.0}  |
 ### Framework versions
-- Transformers 4.37.2
-- Pytorch 2.2.0+cu121
-- Datasets 2.17.0
 - Tokenizers 0.15.2

       name: essays_su_g
       type: essays_su_g
       config: sep_tok_full_labels
+      split: train[0%:20%]
       args: sep_tok_full_labels
     metrics:
     - name: Accuracy
       type: accuracy
+      value: 0.9089556962025317
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the essays_su_g dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.8144
+- B-claim: {'precision': 0.6953405017921147, 'recall': 0.6830985915492958, 'f1-score': 0.6891651865008882, 'support': 284.0}
+- B-majorclaim: {'precision': 0.9323308270676691, 'recall': 0.8794326241134752, 'f1-score': 0.9051094890510948, 'support': 141.0}
+- B-premise: {'precision': 0.8848821081830791, 'recall': 0.9011299435028248, 'f1-score': 0.8929321203638908, 'support': 708.0}
+- I-claim: {'precision': 0.6836601307189543, 'recall': 0.6414029923963699, 'f1-score': 0.6618577575297392, 'support': 4077.0}
+- I-majorclaim: {'precision': 0.9350785340314136, 'recall': 0.8824110671936759, 'f1-score': 0.9079816980172852, 'support': 2024.0}
+- I-premise: {'precision': 0.8918532634587899, 'recall': 0.9182472204054938, 'f1-score': 0.9048578103601064, 'support': 12232.0}
+- O: {'precision': 0.9996704564178612, 'recall': 1.0, 'f1-score': 0.9998352010547131, 'support': 12134.0}
+- Accuracy: 0.9090
+- Macro avg: {'precision': 0.8604022602385546, 'recall': 0.8436746341658764, 'f1-score': 0.8516770375539596, 'support': 31600.0}
+- Weighted avg: {'precision': 0.9074197349475357, 'recall': 0.9089556962025317, 'f1-score': 0.907971816211979, 'support': 31600.0}
 ## Model description
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
+- num_epochs: 50
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | B-claim                                                                                                            | B-majorclaim                                                                                                      | B-premise                                                                                                         | I-claim                                                                                                             | I-majorclaim                                                                                                       | I-premise                                                                                                           | O                                                                                                                   | Accuracy | Macro avg                                                                                                           | Weighted avg                                                                                                        |
+|:-------------:|:-----:|:----:|:---------------:|:------------------------------------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:--------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|
+| No log        | 1.0   | 81   | 0.3326          | {'precision': 0.23275862068965517, 'recall': 0.09507042253521127, 'f1-score': 0.135, 'support': 284.0}             | {'precision': 1.0, 'recall': 0.0070921985815602835, 'f1-score': 0.014084507042253521, 'support': 141.0}           | {'precision': 0.7025948103792415, 'recall': 0.9943502824858758, 'f1-score': 0.8233918128654971, 'support': 708.0} | {'precision': 0.5555555555555556, 'recall': 0.3102771645818003, 'f1-score': 0.39817437834435004, 'support': 4077.0} | {'precision': 0.8446601941747572, 'recall': 0.6017786561264822, 'f1-score': 0.7028274668205424, 'support': 2024.0} | {'precision': 0.8097785092230679, 'recall': 0.9654185742315239, 'f1-score': 0.8807756852507925, 'support': 12232.0} | {'precision': 0.9958945726250102, 'recall': 0.9995879347288611, 'f1-score': 0.9977378357257435, 'support': 12134.0} | 0.8593   | {'precision': 0.734463180378184, 'recall': 0.5676536047530449, 'f1-score': 0.5645702408641685, 'support': 31600.0}  | {'precision': 0.8439407682304593, 'recall': 0.8592721518987342, 'f1-score': 0.840169814336718, 'support': 31600.0}  |
+| No log        | 2.0   | 162  | 0.3249          | {'precision': 0.5647668393782384, 'recall': 0.38380281690140844, 'f1-score': 0.4570230607966457, 'support': 284.0} | {'precision': 0.8888888888888888, 'recall': 0.5673758865248227, 'f1-score': 0.6926406926406928, 'support': 141.0} | {'precision': 0.7981220657276995, 'recall': 0.96045197740113, 'f1-score': 0.8717948717948718, 'support': 708.0}   | {'precision': 0.6064968623108158, 'recall': 0.4029923963698798, 'f1-score': 0.48423224285293254, 'support': 4077.0} | {'precision': 0.9049773755656109, 'recall': 0.5928853754940712, 'f1-score': 0.7164179104477612, 'support': 2024.0} | {'precision': 0.832260321903429, 'recall': 0.9722858077174624, 'f1-score': 0.896840358947289, 'support': 12232.0}   | {'precision': 0.9988467874794069, 'recall': 0.9993406955661777, 'f1-score': 0.9990936804811733, 'support': 12134.0} | 0.8776   | {'precision': 0.7991941630362983, 'recall': 0.6970192794249932, 'f1-score': 0.7311489739944809, 'support': 31600.0} | {'precision': 0.8688409693302476, 'recall': 0.8775632911392405, 'f1-score': 0.8658888085638868, 'support': 31600.0} |
+| No log        | 3.0   | 243  | 0.2603          | {'precision': 0.6473214285714286, 'recall': 0.5105633802816901, 'f1-score': 0.5708661417322833, 'support': 284.0}  | {'precision': 0.8345864661654135, 'recall': 0.7872340425531915, 'f1-score': 0.8102189781021898, 'support': 141.0} | {'precision': 0.847741935483871, 'recall': 0.9279661016949152, 'f1-score': 0.8860418071476737, 'support': 708.0}  | {'precision': 0.6502840909090909, 'recall': 0.5614422369389257, 'f1-score': 0.6026062919573516, 'support': 4077.0}  | {'precision': 0.8301886792452831, 'recall': 0.8043478260869565, 'f1-score': 0.8170639899623588, 'support': 2024.0} | {'precision': 0.8837009899446566, 'recall': 0.9268312622629169, 'f1-score': 0.9047524041339132, 'support': 12232.0} | {'precision': 0.9972034874156934, 'recall': 0.9991758694577221, 'f1-score': 0.9981887041001153, 'support': 12134.0} | 0.8953   | {'precision': 0.8130038682479196, 'recall': 0.7882229598966168, 'f1-score': 0.7985340453051265, 'support': 31600.0} | {'precision': 0.8905925638765844, 'recall': 0.8952848101265822, 'f1-score': 0.8921899041308763, 'support': 31600.0} |
+| No log        | 4.0   | 324  | 0.3208          | {'precision': 0.5478723404255319, 'recall': 0.7253521126760564, 'f1-score': 0.6242424242424244, 'support': 284.0}  | {'precision': 0.7926829268292683, 'recall': 0.9219858156028369, 'f1-score': 0.8524590163934427, 'support': 141.0} | {'precision': 0.9159663865546218, 'recall': 0.769774011299435, 'f1-score': 0.8365310821181888, 'support': 708.0}  | {'precision': 0.5391455972101133, 'recall': 0.7584007848908512, 'f1-score': 0.6302486750917244, 'support': 4077.0}  | {'precision': 0.7994825355756792, 'recall': 0.91600790513834, 'f1-score': 0.8537877043518306, 'support': 2024.0}   | {'precision': 0.9427625815243843, 'recall': 0.7917756703727927, 'f1-score': 0.8606976227504999, 'support': 12232.0} | {'precision': 0.9985170538803757, 'recall': 0.9988462172408109, 'f1-score': 0.998681608437706, 'support': 12134.0}  | 0.8744   | {'precision': 0.7909184888571392, 'recall': 0.8403060738887318, 'f1-score': 0.8080925904836882, 'support': 31600.0} | {'precision': 0.8981011177172786, 'recall': 0.8744303797468355, 'f1-score': 0.8808035346886173, 'support': 31600.0} |
+| No log        | 5.0   | 405  | 0.3258          | {'precision': 0.6464285714285715, 'recall': 0.6373239436619719, 'f1-score': 0.6418439716312057, 'support': 284.0}  | {'precision': 0.8923076923076924, 'recall': 0.8226950354609929, 'f1-score': 0.8560885608856089, 'support': 141.0} | {'precision': 0.8741355463347165, 'recall': 0.8926553672316384, 'f1-score': 0.883298392732355, 'support': 708.0}  | {'precision': 0.6225490196078431, 'recall': 0.6230071130733382, 'f1-score': 0.6227779821012628, 'support': 4077.0}  | {'precision': 0.9174364896073903, 'recall': 0.7850790513833992, 'f1-score': 0.8461128860489883, 'support': 2024.0} | {'precision': 0.8866928062735057, 'recall': 0.9059025506867233, 'f1-score': 0.8961947511019451, 'support': 12232.0} | {'precision': 0.9978614903767067, 'recall': 0.9998351738915444, 'f1-score': 0.9988473571546188, 'support': 12134.0} | 0.8947   | {'precision': 0.8339159451337751, 'recall': 0.8094997479128011, 'f1-score': 0.8207377002365693, 'support': 31600.0} | {'precision': 0.8948541330437054, 'recall': 0.8946518987341772, 'f1-score': 0.8943744866666387, 'support': 31600.0} |
+| No log        | 6.0   | 486  | 0.3819          | {'precision': 0.668, 'recall': 0.5880281690140845, 'f1-score': 0.6254681647940075, 'support': 284.0}               | {'precision': 0.8823529411764706, 'recall': 0.851063829787234, 'f1-score': 0.8664259927797834, 'support': 141.0}  | {'precision': 0.8607764390896921, 'recall': 0.9081920903954802, 'f1-score': 0.8838487972508592, 'support': 708.0} | {'precision': 0.6385115180153573, 'recall': 0.5302918812852587, 'f1-score': 0.5793916655500468, 'support': 4077.0}  | {'precision': 0.8816371681415929, 'recall': 0.7875494071146245, 'f1-score': 0.8319415448851774, 'support': 2024.0} | {'precision': 0.8668801463860933, 'recall': 0.9295291039895357, 'f1-score': 0.8971121982010416, 'support': 12232.0} | {'precision': 0.9979435716048367, 'recall': 0.9998351738915444, 'f1-score': 0.9988884772137829, 'support': 12134.0} | 0.8920   | {'precision': 0.8280145406305776, 'recall': 0.7992128079253946, 'f1-score': 0.8118681200963855, 'support': 31600.0} | {'precision': 0.886833032256214, 'recall': 0.8920253164556962, 'f1-score': 0.88815135033036, 'support': 31600.0}    |
+| 0.2533        | 7.0   | 567  | 0.3827          | {'precision': 0.6228373702422145, 'recall': 0.6338028169014085, 'f1-score': 0.6282722513089006, 'support': 284.0}  | {'precision': 0.9611650485436893, 'recall': 0.7021276595744681, 'f1-score': 0.8114754098360656, 'support': 141.0} | {'precision': 0.8638814016172507, 'recall': 0.905367231638418, 'f1-score': 0.8841379310344828, 'support': 708.0}  | {'precision': 0.6089494163424124, 'recall': 0.6141770909982831, 'f1-score': 0.6115520820613017, 'support': 4077.0}  | {'precision': 0.9721611721611721, 'recall': 0.6556324110671937, 'f1-score': 0.78312186485689, 'support': 2024.0}   | {'precision': 0.8794795886569025, 'recall': 0.9229071288423807, 'f1-score': 0.9006701771182384, 'support': 12232.0} | {'precision': 0.9981897473874763, 'recall': 0.9997527608373167, 'f1-score': 0.9989706427306789, 'support': 12134.0} | 0.8915   | {'precision': 0.8438091064215882, 'recall': 0.776252442837067, 'f1-score': 0.8026000512780798, 'support': 31600.0}  | {'precision': 0.8938040450465683, 'recall': 0.8914873417721519, 'f1-score': 0.8903690153724573, 'support': 31600.0} |
+| 0.2533        | 8.0   | 648  | 0.4193          | {'precision': 0.6566666666666666, 'recall': 0.6936619718309859, 'f1-score': 0.6746575342465753, 'support': 284.0}  | {'precision': 0.8767123287671232, 'recall': 0.9078014184397163, 'f1-score': 0.89198606271777, 'support': 141.0}   | {'precision': 0.8981077147016011, 'recall': 0.8714689265536724, 'f1-score': 0.8845878136200716, 'support': 708.0} | {'precision': 0.6460472892285646, 'recall': 0.6634780475840079, 'f1-score': 0.654646660212972, 'support': 4077.0}   | {'precision': 0.8898765432098765, 'recall': 0.8903162055335968, 'f1-score': 0.8900963200790318, 'support': 2024.0} | {'precision': 0.9043643577450818, 'recall': 0.8944571615434925, 'f1-score': 0.899383477188656, 'support': 12232.0}  | {'precision': 0.9979435716048367, 'recall': 0.9998351738915444, 'f1-score': 0.9988884772137829, 'support': 12134.0} | 0.9026   | {'precision': 0.8385312102748215, 'recall': 0.8458598436252881, 'f1-score': 0.8420351921826942, 'support': 31600.0} | {'precision': 0.9035521226940129, 'recall': 0.9025949367088607, 'f1-score': 0.9030373989754484, 'support': 31600.0} |
+| 0.2533        | 9.0   | 729  | 0.4639          | {'precision': 0.6351351351351351, 'recall': 0.6619718309859155, 'f1-score': 0.6482758620689655, 'support': 284.0}  | {'precision': 0.9140625, 'recall': 0.8297872340425532, 'f1-score': 0.8698884758364313, 'support': 141.0}          | {'precision': 0.8772919605077574, 'recall': 0.8785310734463276, 'f1-score': 0.8779110797459421, 'support': 708.0} | {'precision': 0.6366223908918406, 'recall': 0.6583272013735589, 'f1-score': 0.6472928976245026, 'support': 4077.0}  | {'precision': 0.9625890736342043, 'recall': 0.8008893280632411, 'f1-score': 0.8743257820927725, 'support': 2024.0} | {'precision': 0.891213389121339, 'recall': 0.9054937867887508, 'f1-score': 0.8982968369829685, 'support': 12232.0}  | {'precision': 0.9993409671307356, 'recall': 0.9997527608373167, 'f1-score': 0.9995468215712932, 'support': 12134.0} | 0.9000   | {'precision': 0.8451793452030018, 'recall': 0.8192504593625234, 'f1-score': 0.8307911079889821, 'support': 31600.0} | {'precision': 0.9019461753960791, 'recall': 0.8999683544303797, 'f1-score': 0.9004253871478879, 'support': 31600.0} |
+| 0.2533        | 10.0  | 810  | 0.6042          | {'precision': 0.7027027027027027, 'recall': 0.5492957746478874, 'f1-score': 0.6166007905138341, 'support': 284.0}  | {'precision': 0.9224806201550387, 'recall': 0.8439716312056738, 'f1-score': 0.8814814814814815, 'support': 141.0} | {'precision': 0.8452685421994884, 'recall': 0.9336158192090396, 'f1-score': 0.8872483221476509, 'support': 708.0} | {'precision': 0.6888888888888889, 'recall': 0.5094432180524896, 'f1-score': 0.5857304004512126, 'support': 4077.0}  | {'precision': 0.8985122210414452, 'recall': 0.8354743083003953, 'f1-score': 0.8658474142345111, 'support': 2024.0} | {'precision': 0.8613160444146359, 'recall': 0.9448986265533028, 'f1-score': 0.9011734435304667, 'support': 12232.0} | {'precision': 0.9986009381943873, 'recall': 1.0, 'f1-score': 0.9992999794111592, 'support': 12134.0}                | 0.8986   | {'precision': 0.845395708228084, 'recall': 0.8023856254241126, 'f1-score': 0.819625975967188, 'support': 31600.0}   | {'precision': 0.8926556277723124, 'recall': 0.8986075949367088, 'f1-score': 0.8929345837330782, 'support': 31600.0} |
+| 0.2533        | 11.0  | 891  | 0.5668          | {'precision': 0.7142857142857143, 'recall': 0.545774647887324, 'f1-score': 0.6187624750499001, 'support': 284.0}   | {'precision': 0.9166666666666666, 'recall': 0.8581560283687943, 'f1-score': 0.8864468864468864, 'support': 141.0} | {'precision': 0.8431122448979592, 'recall': 0.9336158192090396, 'f1-score': 0.8860589812332441, 'support': 708.0} | {'precision': 0.6964671953857245, 'recall': 0.47387785136129507, 'f1-score': 0.5640052547073421, 'support': 4077.0} | {'precision': 0.8942917547568711, 'recall': 0.8359683794466403, 'f1-score': 0.86414708886619, 'support': 2024.0}   | {'precision': 0.8518274371932909, 'recall': 0.9507848266841072, 'f1-score': 0.898589916940313, 'support': 12232.0}  | {'precision': 0.998847546921304, 'recall': 1.0, 'f1-score': 0.9994234412321885, 'support': 12134.0}                 | 0.8964   | {'precision': 0.8450712228725044, 'recall': 0.7997396504224572, 'f1-score': 0.8167762920680092, 'support': 31600.0} | {'precision': 0.8898146590364506, 'recall': 0.8963607594936709, 'f1-score': 0.889085010881285, 'support': 31600.0}  |
+| 0.2533        | 12.0  | 972  | 0.5729          | {'precision': 0.631578947368421, 'recall': 0.7605633802816901, 'f1-score': 0.6900958466453674, 'support': 284.0}   | {'precision': 0.9130434782608695, 'recall': 0.8936170212765957, 'f1-score': 0.9032258064516129, 'support': 141.0} | {'precision': 0.9096477794793262, 'recall': 0.8389830508474576, 'f1-score': 0.872887582659809, 'support': 708.0}  | {'precision': 0.6274635818337618, 'recall': 0.7184204071621291, 'f1-score': 0.6698684962835907, 'support': 4077.0}  | {'precision': 0.9063136456211812, 'recall': 0.8794466403162056, 'f1-score': 0.8926780341023068, 'support': 2024.0} | {'precision': 0.9143712574850299, 'recall': 0.8738554610856769, 'f1-score': 0.8936543767243541, 'support': 12232.0} | {'precision': 0.9990942774804447, 'recall': 1.0, 'f1-score': 0.9995469335639853, 'support': 12134.0}                | 0.9009   | {'precision': 0.8430732810755763, 'recall': 0.8521265658528222, 'f1-score': 0.8459938680615754, 'support': 31600.0} | {'precision': 0.9067178862574966, 'recall': 0.9008860759493671, 'f1-score': 0.9031285916458567, 'support': 31600.0} |
+| 0.0325        | 13.0  | 1053 | 0.6332          | {'precision': 0.6585365853658537, 'recall': 0.6654929577464789, 'f1-score': 0.6619964973730298, 'support': 284.0}  | {'precision': 0.8260869565217391, 'recall': 0.9432624113475178, 'f1-score': 0.8807947019867549, 'support': 141.0} | {'precision': 0.8948905109489051, 'recall': 0.865819209039548, 'f1-score': 0.8801148600143575, 'support': 708.0}  | {'precision': 0.6492939666238767, 'recall': 0.6203090507726269, 'f1-score': 0.634470647265429, 'support': 4077.0}   | {'precision': 0.8399822695035462, 'recall': 0.9362648221343873, 'f1-score': 0.8855140186915889, 'support': 2024.0} | {'precision': 0.8975770020533881, 'recall': 0.8933943754087639, 'f1-score': 0.8954808046871798, 'support': 12232.0} | {'precision': 0.9994234412321884, 'recall': 1.0, 'f1-score': 0.9997116374871267, 'support': 12134.0}                | 0.8994   | {'precision': 0.8236843903213568, 'recall': 0.8463632609213317, 'f1-score': 0.8340118810722095, 'support': 31600.0} | {'precision': 0.8984350213067859, 'recall': 0.8993987341772152, 'f1-score': 0.8986822719639097, 'support': 31600.0} |
+| 0.0325        | 14.0  | 1134 | 0.6413          | {'precision': 0.6509433962264151, 'recall': 0.7288732394366197, 'f1-score': 0.6877076411960134, 'support': 284.0}  | {'precision': 0.8589743589743589, 'recall': 0.950354609929078, 'f1-score': 0.9023569023569024, 'support': 141.0}  | {'precision': 0.9089529590288316, 'recall': 0.846045197740113, 'f1-score': 0.8763716166788588, 'support': 708.0}  | {'precision': 0.6471537220557733, 'recall': 0.6887417218543046, 'f1-score': 0.6673003802281369, 'support': 4077.0}  | {'precision': 0.8577919127669241, 'recall': 0.932806324110672, 'f1-score': 0.8937278106508876, 'support': 2024.0}  | {'precision': 0.913703860840051, 'recall': 0.8803139306736429, 'f1-score': 0.896698172128076, 'support': 12232.0}   | {'precision': 0.999341129962115, 'recall': 1.0, 'f1-score': 0.9996704564178612, 'support': 12134.0}                 | 0.9031   | {'precision': 0.8338373342649241, 'recall': 0.8610192891063473, 'f1-score': 0.8462618542366765, 'support': 31600.0} | {'precision': 0.9059040967453655, 'recall': 0.9031012658227848, 'f1-score': 0.9041428638143382, 'support': 31600.0} |
+| 0.0325        | 15.0  | 1215 | 0.5514          | {'precision': 0.7022058823529411, 'recall': 0.6725352112676056, 'f1-score': 0.6870503597122303, 'support': 284.0}  | {'precision': 0.8791946308724832, 'recall': 0.9290780141843972, 'f1-score': 0.9034482758620689, 'support': 141.0} | {'precision': 0.8877980364656382, 'recall': 0.8940677966101694, 'f1-score': 0.8909218859957775, 'support': 708.0} | {'precision': 0.6826568265682657, 'recall': 0.635271032622026, 'f1-score': 0.6581120569177995, 'support': 4077.0}   | {'precision': 0.8873653281096964, 'recall': 0.8952569169960475, 'f1-score': 0.8912936546974914, 'support': 2024.0} | {'precision': 0.8958216376614003, 'recall': 0.9131785480706344, 'f1-score': 0.9044168252297478, 'support': 12232.0} | {'precision': 0.9977797878463942, 'recall': 1.0, 'f1-score': 0.9988886602181518, 'support': 12134.0}                | 0.9070   | {'precision': 0.8475460185538312, 'recall': 0.848483931392983, 'f1-score': 0.8477331026618954, 'support': 31600.0}  | {'precision': 0.904934286296651, 'recall': 0.906993670886076, 'f1-score': 0.9058140514809733, 'support': 31600.0}   |
+| 0.0325        | 16.0  | 1296 | 0.7128          | {'precision': 0.6388888888888888, 'recall': 0.7288732394366197, 'f1-score': 0.6809210526315789, 'support': 284.0}  | {'precision': 0.8835616438356164, 'recall': 0.9148936170212766, 'f1-score': 0.8989547038327526, 'support': 141.0} | {'precision': 0.9049773755656109, 'recall': 0.847457627118644, 'f1-score': 0.87527352297593, 'support': 708.0}    | {'precision': 0.6328005255090869, 'recall': 0.7088545499141525, 'f1-score': 0.6686719111522443, 'support': 4077.0}  | {'precision': 0.8926470588235295, 'recall': 0.8997035573122529, 'f1-score': 0.8961614173228347, 'support': 2024.0} | {'precision': 0.9158038846581672, 'recall': 0.875, 'f1-score': 0.8949370793093356, 'support': 12232.0}              | {'precision': 0.9967961882855499, 'recall': 1.0, 'f1-score': 0.9983955239231497, 'support': 12134.0}                | 0.9014   | {'precision': 0.8379250807952071, 'recall': 0.8535403701147065, 'f1-score': 0.8447593158782608, 'support': 31600.0} | {'precision': 0.9060327238443245, 'recall': 0.9013924050632911, 'f1-score': 0.9032036575404796, 'support': 31600.0} |
+| 0.0325        | 17.0  | 1377 | 0.7222          | {'precision': 0.660958904109589, 'recall': 0.6795774647887324, 'f1-score': 0.670138888888889, 'support': 284.0}    | {'precision': 0.9508196721311475, 'recall': 0.8226950354609929, 'f1-score': 0.8821292775665398, 'support': 141.0} | {'precision': 0.8789986091794159, 'recall': 0.8926553672316384, 'f1-score': 0.8857743517869656, 'support': 708.0} | {'precision': 0.6413235665572115, 'recall': 0.6227618346823645, 'f1-score': 0.6319064211050274, 'support': 4077.0}  | {'precision': 0.946236559139785, 'recall': 0.782608695652174, 'f1-score': 0.8566792861005951, 'support': 2024.0}   | {'precision': 0.8838511275824003, 'recall': 0.9163669064748201, 'f1-score': 0.8998153648551016, 'support': 12232.0} | {'precision': 0.9985187623436471, 'recall': 1.0, 'f1-score': 0.9992588322490323, 'support': 12134.0}                | 0.8990   | {'precision': 0.8515296001490282, 'recall': 0.8166664720415316, 'f1-score': 0.8322432032217357, 'support': 31600.0} | {'precision': 0.89877409965997, 'recall': 0.8989556962025317, 'f1-score': 0.8982144772460968, 'support': 31600.0}   |
+| 0.0325        | 18.0  | 1458 | 0.7015          | {'precision': 0.6533333333333333, 'recall': 0.6901408450704225, 'f1-score': 0.6712328767123288, 'support': 284.0}  | {'precision': 0.9242424242424242, 'recall': 0.8652482269503546, 'f1-score': 0.8937728937728938, 'support': 141.0} | {'precision': 0.8858773181169758, 'recall': 0.8771186440677966, 'f1-score': 0.8814762242725337, 'support': 708.0} | {'precision': 0.6523892052488239, 'recall': 0.6463085602158449, 'f1-score': 0.64933464760966, 'support': 4077.0}    | {'precision': 0.9061703212646609, 'recall': 0.8779644268774703, 'f1-score': 0.8918444165621079, 'support': 2024.0} | {'precision': 0.8959500040581122, 'recall': 0.902468933943754, 'f1-score': 0.8991976540544944, 'support': 12232.0}  | {'precision': 0.9990120204182447, 'recall': 1.0, 'f1-score': 0.999505766062603, 'support': 12134.0}                 | 0.9027   | {'precision': 0.8452820895260821, 'recall': 0.8370356624465204, 'f1-score': 0.8409092112923745, 'support': 31600.0} | {'precision': 0.9024752473147027, 'recall': 0.9026582278481012, 'f1-score': 0.90253659522208, 'support': 31600.0}   |
+| 0.0107        | 19.0  | 1539 | 0.6109          | {'precision': 0.6518987341772152, 'recall': 0.7253521126760564, 'f1-score': 0.6866666666666666, 'support': 284.0}  | {'precision': 0.9312977099236641, 'recall': 0.8652482269503546, 'f1-score': 0.8970588235294118, 'support': 141.0} | {'precision': 0.8979591836734694, 'recall': 0.8700564971751412, 'f1-score': 0.8837876614060258, 'support': 708.0} | {'precision': 0.6646036657938587, 'recall': 0.6848172675987245, 'f1-score': 0.6745590722396715, 'support': 4077.0}  | {'precision': 0.9255765199161425, 'recall': 0.8725296442687747, 'f1-score': 0.8982706002034587, 'support': 2024.0} | {'precision': 0.9054208974778906, 'recall': 0.9039404839764552, 'f1-score': 0.9046800850924562, 'support': 12232.0} | {'precision': 0.9990120204182447, 'recall': 1.0, 'f1-score': 0.999505766062603, 'support': 12134.0}                 | 0.9080   | {'precision': 0.8536812473400692, 'recall': 0.8459920332350723, 'f1-score': 0.8492183821714706, 'support': 31600.0} | {'precision': 0.9092494814905934, 'recall': 0.9080063291139241, 'f1-score': 0.9085299712124664, 'support': 31600.0} |
+| 0.0107        | 20.0  | 1620 | 0.7311          | {'precision': 0.625, 'recall': 0.7570422535211268, 'f1-score': 0.6847133757961784, 'support': 284.0}               | {'precision': 0.952755905511811, 'recall': 0.8581560283687943, 'f1-score': 0.9029850746268657, 'support': 141.0}  | {'precision': 0.9018126888217523, 'recall': 0.8432203389830508, 'f1-score': 0.8715328467153285, 'support': 708.0} | {'precision': 0.6120813642901172, 'recall': 0.7306843267108167, 'f1-score': 0.6661449016100179, 'support': 4077.0}  | {'precision': 0.9618192026951151, 'recall': 0.8463438735177866, 'f1-score': 0.9003942181340342, 'support': 2024.0} | {'precision': 0.9107341728775807, 'recall': 0.8691137998691956, 'f1-score': 0.8894373562016316, 'support': 12232.0} | {'precision': 0.9990120204182447, 'recall': 1.0, 'f1-score': 0.999505766062603, 'support': 12134.0}                 | 0.8984   | {'precision': 0.8518879078020886, 'recall': 0.8435086601386814, 'f1-score': 0.8449590770209513, 'support': 31600.0} | {'precision': 0.906791519405767, 'recall': 0.8984177215189874, 'f1-score': 0.9014144340997553, 'support': 31600.0}  |
+| 0.0107        | 21.0  | 1701 | 0.7102          | {'precision': 0.7007299270072993, 'recall': 0.676056338028169, 'f1-score': 0.6881720430107527, 'support': 284.0}   | {'precision': 0.968503937007874, 'recall': 0.8723404255319149, 'f1-score': 0.917910447761194, 'support': 141.0}   | {'precision': 0.8770491803278688, 'recall': 0.9067796610169492, 'f1-score': 0.8916666666666667, 'support': 708.0} | {'precision': 0.6895316804407714, 'recall': 0.6139318126073093, 'f1-score': 0.6495393797846114, 'support': 4077.0}  | {'precision': 0.9697139652271453, 'recall': 0.8542490118577075, 'f1-score': 0.9083267664827948, 'support': 2024.0} | {'precision': 0.880498760842627, 'recall': 0.9294473512099412, 'f1-score': 0.9043111676741966, 'support': 12232.0}  | {'precision': 0.999341129962115, 'recall': 1.0, 'f1-score': 0.9996704564178612, 'support': 12134.0}                 | 0.9080   | {'precision': 0.8693383686879573, 'recall': 0.8361149428931416, 'f1-score': 0.8513709896854396, 'support': 31600.0} | {'precision': 0.9059083865324177, 'recall': 0.9079746835443038, 'f1-score': 0.9061495943435923, 'support': 31600.0} |
+| 0.0107        | 22.0  | 1782 | 0.7179          | {'precision': 0.646875, 'recall': 0.7288732394366197, 'f1-score': 0.685430463576159, 'support': 284.0}             | {'precision': 0.9253731343283582, 'recall': 0.8794326241134752, 'f1-score': 0.9018181818181819, 'support': 141.0} | {'precision': 0.898379970544919, 'recall': 0.8615819209039548, 'f1-score': 0.8795962509012257, 'support': 708.0}  | {'precision': 0.6480804387568556, 'recall': 0.6956095168015698, 'f1-score': 0.6710043771442092, 'support': 4077.0}  | {'precision': 0.9288702928870293, 'recall': 0.8774703557312253, 'f1-score': 0.9024390243902438, 'support': 2024.0} | {'precision': 0.9062292358803987, 'recall': 0.8920045781556573, 'f1-score': 0.8990606460118654, 'support': 12232.0} | {'precision': 0.9995881044567098, 'recall': 1.0, 'f1-score': 0.9997940098051333, 'support': 12134.0}                | 0.905    | {'precision': 0.8504851681220387, 'recall': 0.847853176448929, 'f1-score': 0.8484489933781455, 'support': 31600.0}  | {'precision': 0.9078005894135412, 'recall': 0.905, 'f1-score': 0.9061900167375152, 'support': 31600.0}              |
+| 0.0107        | 23.0  | 1863 | 0.7683          | {'precision': 0.6763636363636364, 'recall': 0.6549295774647887, 'f1-score': 0.665474060822898, 'support': 284.0}   | {'precision': 0.9523809523809523, 'recall': 0.851063829787234, 'f1-score': 0.898876404494382, 'support': 141.0}   | {'precision': 0.8702185792349727, 'recall': 0.8997175141242938, 'f1-score': 0.8847222222222222, 'support': 708.0} | {'precision': 0.672, 'recall': 0.5974981604120677, 'f1-score': 0.6325629706569723, 'support': 4077.0}               | {'precision': 0.955406911928651, 'recall': 0.8468379446640316, 'f1-score': 0.8978522786799371, 'support': 2024.0}  | {'precision': 0.8760362593941272, 'recall': 0.9243786788750817, 'f1-score': 0.8995584549902542, 'support': 12232.0} | {'precision': 0.9994234412321884, 'recall': 1.0, 'f1-score': 0.9997116374871267, 'support': 12134.0}                | 0.9030   | {'precision': 0.8574042543620756, 'recall': 0.8249179579039282, 'f1-score': 0.8398225756219704, 'support': 31600.0} | {'precision': 0.9005903446732682, 'recall': 0.9029746835443038, 'f1-score': 0.9010199941065505, 'support': 31600.0} |
+| 0.0107        | 24.0  | 1944 | 0.7163          | {'precision': 0.6567656765676567, 'recall': 0.7007042253521126, 'f1-score': 0.6780238500851788, 'support': 284.0}  | {'precision': 0.9191176470588235, 'recall': 0.8865248226950354, 'f1-score': 0.9025270758122743, 'support': 141.0} | {'precision': 0.8904899135446686, 'recall': 0.8728813559322034, 'f1-score': 0.8815977175463623, 'support': 708.0} | {'precision': 0.6578445398187888, 'recall': 0.6767230806965906, 'f1-score': 0.6671502841252569, 'support': 4077.0}  | {'precision': 0.9164086687306502, 'recall': 0.8774703557312253, 'f1-score': 0.8965169106511862, 'support': 2024.0} | {'precision': 0.9032469662184323, 'recall': 0.9005886200130805, 'f1-score': 0.9019158342885214, 'support': 12232.0} | {'precision': 0.9995881044567098, 'recall': 1.0, 'f1-score': 0.9997940098051333, 'support': 12134.0}                | 0.9059   | {'precision': 0.8490659309136758, 'recall': 0.8449846372028926, 'f1-score': 0.846789383187702, 'support': 31600.0}  | {'precision': 0.906991967841258, 'recall': 0.9059177215189873, 'f1-score': 0.9064001016033513, 'support': 31600.0}  |
+| 0.0062        | 25.0  | 2025 | 0.7400          | {'precision': 0.6701754385964912, 'recall': 0.6725352112676056, 'f1-score': 0.671353251318102, 'support': 284.0}   | {'precision': 0.9318181818181818, 'recall': 0.8723404255319149, 'f1-score': 0.9010989010989012, 'support': 141.0} | {'precision': 0.8812849162011173, 'recall': 0.8912429378531074, 'f1-score': 0.8862359550561797, 'support': 708.0} | {'precision': 0.6735165681993321, 'recall': 0.6431199411331862, 'f1-score': 0.6579673776662485, 'support': 4077.0}  | {'precision': 0.9386666666666666, 'recall': 0.8695652173913043, 'f1-score': 0.9027955886124647, 'support': 2024.0} | {'precision': 0.8910828025477707, 'recall': 0.9149771092217135, 'f1-score': 0.9028718941594063, 'support': 12232.0} | {'precision': 0.9995881044567098, 'recall': 1.0, 'f1-score': 0.9997940098051333, 'support': 12134.0}                | 0.9067   | {'precision': 0.8551618112123242, 'recall': 0.8376829774855474, 'f1-score': 0.846016711102348, 'support': 31600.0}  | {'precision': 0.9057019364238044, 'recall': 0.906740506329114, 'f1-score': 0.9060251619949156, 'support': 31600.0}  |
+| 0.0062        | 26.0  | 2106 | 0.6934          | {'precision': 0.6496815286624203, 'recall': 0.7183098591549296, 'f1-score': 0.6822742474916388, 'support': 284.0}  | {'precision': 0.9185185185185185, 'recall': 0.8794326241134752, 'f1-score': 0.8985507246376813, 'support': 141.0} | {'precision': 0.8947368421052632, 'recall': 0.864406779661017, 'f1-score': 0.8793103448275862, 'support': 708.0}  | {'precision': 0.648623425104993, 'recall': 0.6818739269070395, 'f1-score': 0.6648331938299653, 'support': 4077.0}   | {'precision': 0.9196474857439088, 'recall': 0.8764822134387352, 'f1-score': 0.8975461674677461, 'support': 2024.0} | {'precision': 0.9034015852047557, 'recall': 0.894538914323087, 'f1-score': 0.8989484061781137, 'support': 12232.0}  | {'precision': 0.999505766062603, 'recall': 1.0, 'f1-score': 0.999752821949411, 'support': 12134.0}                  | 0.9041   | {'precision': 0.8477307359146374, 'recall': 0.8450063310854691, 'f1-score': 0.8458879866260204, 'support': 31600.0} | {'precision': 0.9060667633034395, 'recall': 0.904113924050633, 'f1-score': 0.9049718127437909, 'support': 31600.0}  |
+| 0.0062        | 27.0  | 2187 | 0.7130          | {'precision': 0.6736842105263158, 'recall': 0.676056338028169, 'f1-score': 0.6748681898066784, 'support': 284.0}   | {'precision': 0.917910447761194, 'recall': 0.8723404255319149, 'f1-score': 0.8945454545454546, 'support': 141.0}  | {'precision': 0.8823529411764706, 'recall': 0.8898305084745762, 'f1-score': 0.8860759493670887, 'support': 708.0} | {'precision': 0.6686422413793104, 'recall': 0.6087809663968604, 'f1-score': 0.6373090255488509, 'support': 4077.0}  | {'precision': 0.9005102040816326, 'recall': 0.8720355731225297, 'f1-score': 0.8860441767068273, 'support': 2024.0} | {'precision': 0.8854907539118065, 'recall': 0.9160398953564421, 'f1-score': 0.9005063087679821, 'support': 12232.0} | {'precision': 0.9994234412321884, 'recall': 1.0, 'f1-score': 0.9997116374871267, 'support': 12134.0}                | 0.9029   | {'precision': 0.8468591771527026, 'recall': 0.833583386701499, 'f1-score': 0.8398658203185727, 'support': 31600.0}  | {'precision': 0.9003946702595572, 'recall': 0.902879746835443, 'f1-score': 0.9013383460786057, 'support': 31600.0}  |
+| 0.0062        | 28.0  | 2268 | 0.7653          | {'precision': 0.712, 'recall': 0.6267605633802817, 'f1-score': 0.6666666666666667, 'support': 284.0}               | {'precision': 0.9064748201438849, 'recall': 0.8936170212765957, 'f1-score': 0.9, 'support': 141.0}                | {'precision': 0.8709677419354839, 'recall': 0.9152542372881356, 'f1-score': 0.8925619834710744, 'support': 708.0} | {'precision': 0.6963208685162847, 'recall': 0.5663478047584007, 'f1-score': 0.624644934397403, 'support': 4077.0}   | {'precision': 0.91353001017294, 'recall': 0.8873517786561265, 'f1-score': 0.900250626566416, 'support': 2024.0}    | {'precision': 0.8743483593989574, 'recall': 0.9323904512753434, 'f1-score': 0.9024370944769742, 'support': 12232.0} | {'precision': 0.9994234412321884, 'recall': 1.0, 'f1-score': 0.9997116374871267, 'support': 12134.0}                | 0.9049   | {'precision': 0.853295034485677, 'recall': 0.8316745509478406, 'f1-score': 0.8408961347236659, 'support': 31600.0}  | {'precision': 0.900524816472815, 'recall': 0.9049367088607595, 'f1-score': 0.9014577035522353, 'support': 31600.0}  |
+| 0.0062        | 29.0  | 2349 | 0.7867          | {'precision': 0.6575342465753424, 'recall': 0.676056338028169, 'f1-score': 0.6666666666666666, 'support': 284.0}   | {'precision': 0.9166666666666666, 'recall': 0.8581560283687943, 'f1-score': 0.8864468864468864, 'support': 141.0} | {'precision': 0.8815232722143864, 'recall': 0.882768361581921, 'f1-score': 0.8821453775582216, 'support': 708.0}  | {'precision': 0.6606498194945848, 'recall': 0.6284032376747608, 'f1-score': 0.6441231929604022, 'support': 4077.0}  | {'precision': 0.9288008565310493, 'recall': 0.8572134387351779, 'f1-score': 0.8915724563206577, 'support': 2024.0} | {'precision': 0.8869814020028612, 'recall': 0.9123610202746893, 'f1-score': 0.8994922221326671, 'support': 12232.0} | {'precision': 0.9995881044567098, 'recall': 1.0, 'f1-score': 0.9997940098051333, 'support': 12134.0}                | 0.9028   | {'precision': 0.8473920525630857, 'recall': 0.8307083463805017, 'f1-score': 0.8386058302700906, 'support': 31600.0} | {'precision': 0.9016464879503215, 'recall': 0.9028164556962025, 'f1-score': 0.9020127707920382, 'support': 31600.0} |
+| 0.0062        | 30.0  | 2430 | 0.7559          | {'precision': 0.6890459363957597, 'recall': 0.6866197183098591, 'f1-score': 0.6878306878306879, 'support': 284.0}  | {'precision': 0.8992805755395683, 'recall': 0.8865248226950354, 'f1-score': 0.8928571428571428, 'support': 141.0} | {'precision': 0.8874824191279888, 'recall': 0.8912429378531074, 'f1-score': 0.8893587033121918, 'support': 708.0} | {'precision': 0.6928721174004193, 'recall': 0.6485160657346087, 'f1-score': 0.6699607246927657, 'support': 4077.0}  | {'precision': 0.9148051948051948, 'recall': 0.8700592885375494, 'f1-score': 0.8918713598379336, 'support': 2024.0} | {'precision': 0.8948121077301978, 'recall': 0.9207815565729235, 'f1-score': 0.9076111043958258, 'support': 12232.0} | {'precision': 0.9995881044567098, 'recall': 1.0, 'f1-score': 0.9997940098051333, 'support': 12134.0}                | 0.9099   | {'precision': 0.8539837793508341, 'recall': 0.8433920556718691, 'f1-score': 0.8484691046759544, 'support': 31600.0} | {'precision': 0.9082776663921143, 'recall': 0.9099050632911393, 'f1-score': 0.9088886007994119, 'support': 31600.0} |
+| 0.0039        | 31.0  | 2511 | 0.7869          | {'precision': 0.6836363636363636, 'recall': 0.6619718309859155, 'f1-score': 0.6726296958855098, 'support': 284.0}  | {'precision': 0.9590163934426229, 'recall': 0.8297872340425532, 'f1-score': 0.8897338403041826, 'support': 141.0} | {'precision': 0.873641304347826, 'recall': 0.9081920903954802, 'f1-score': 0.8905817174515235, 'support': 708.0}  | {'precision': 0.6748715174465784, 'recall': 0.6119695854795193, 'f1-score': 0.6418832004116285, 'support': 4077.0}  | {'precision': 0.9543088490456911, 'recall': 0.8152173913043478, 'f1-score': 0.8792965627498002, 'support': 2024.0} | {'precision': 0.8813362269415594, 'recall': 0.9296108567691301, 'f1-score': 0.9048301106071457, 'support': 12232.0} | {'precision': 0.9995881044567098, 'recall': 1.0, 'f1-score': 0.9997940098051333, 'support': 12134.0}                | 0.905    | {'precision': 0.8609141084739074, 'recall': 0.8223927127109923, 'f1-score': 0.8398213053164177, 'support': 31600.0} | {'precision': 0.9031769353402357, 'recall': 0.905, 'f1-score': 0.9032610012682263, 'support': 31600.0}              |
+| 0.0039        | 32.0  | 2592 | 0.7803          | {'precision': 0.6929133858267716, 'recall': 0.6197183098591549, 'f1-score': 0.6542750929368029, 'support': 284.0}  | {'precision': 0.8639455782312925, 'recall': 0.900709219858156, 'f1-score': 0.8819444444444444, 'support': 141.0}  | {'precision': 0.8756830601092896, 'recall': 0.905367231638418, 'f1-score': 0.8902777777777777, 'support': 708.0}  | {'precision': 0.6930953774136922, 'recall': 0.5810645082168261, 'f1-score': 0.6321547698465644, 'support': 4077.0}  | {'precision': 0.868968779564806, 'recall': 0.907608695652174, 'f1-score': 0.8878685355244078, 'support': 2024.0}   | {'precision': 0.8850422006877149, 'recall': 0.9258502289077829, 'f1-score': 0.9049864152149593, 'support': 12232.0} | {'precision': 0.9995881044567098, 'recall': 1.0, 'f1-score': 0.9997940098051333, 'support': 12134.0}                | 0.9053   | {'precision': 0.8398909266128968, 'recall': 0.8343311705903588, 'f1-score': 0.8359001493642986, 'support': 31600.0} | {'precision': 0.9012015271046654, 'recall': 0.9053481012658228, 'f1-score': 0.9024088676638639, 'support': 31600.0} |
+| 0.0039        | 33.0  | 2673 | 0.7934          | {'precision': 0.673469387755102, 'recall': 0.6971830985915493, 'f1-score': 0.685121107266436, 'support': 284.0}    | {'precision': 0.937007874015748, 'recall': 0.8439716312056738, 'f1-score': 0.8880597014925372, 'support': 141.0}  | {'precision': 0.8876404494382022, 'recall': 0.8926553672316384, 'f1-score': 0.8901408450704225, 'support': 708.0} | {'precision': 0.6653215636822194, 'recall': 0.6470443953887662, 'f1-score': 0.656055707535439, 'support': 4077.0}   | {'precision': 0.9345074298293891, 'recall': 0.8389328063241107, 'f1-score': 0.8841447539703202, 'support': 2024.0} | {'precision': 0.8926436598390053, 'recall': 0.9156311314584696, 'f1-score': 0.9039912829412001, 'support': 12232.0} | {'precision': 0.9996704564178612, 'recall': 1.0, 'f1-score': 0.9998352010547131, 'support': 12134.0}                | 0.9057   | {'precision': 0.8557515458539324, 'recall': 0.8336312043143155, 'f1-score': 0.8439069427615812, 'support': 31600.0} | {'precision': 0.9052091921833244, 'recall': 0.9056645569620253, 'f1-score': 0.9051860865467258, 'support': 31600.0} |
+| 0.0039        | 34.0  | 2754 | 0.7745          | {'precision': 0.6580645161290323, 'recall': 0.7183098591549296, 'f1-score': 0.6868686868686869, 'support': 284.0}  | {'precision': 0.8985507246376812, 'recall': 0.8794326241134752, 'f1-score': 0.888888888888889, 'support': 141.0}  | {'precision': 0.8992700729927007, 'recall': 0.8700564971751412, 'f1-score': 0.8844221105527639, 'support': 708.0} | {'precision': 0.6809348093480935, 'recall': 0.6789305862153544, 'f1-score': 0.6799312208302628, 'support': 4077.0}  | {'precision': 0.8945253641386238, 'recall': 0.8799407114624506, 'f1-score': 0.887173100871731, 'support': 2024.0}  | {'precision': 0.9059494702526487, 'recall': 0.9087638979725311, 'f1-score': 0.9073545016733328, 'support': 12232.0} | {'precision': 0.9994234412321884, 'recall': 1.0, 'f1-score': 0.9997116374871267, 'support': 12134.0}                | 0.9096   | {'precision': 0.8481026283901384, 'recall': 0.8479191680134118, 'f1-score': 0.8477643067389703, 'support': 31600.0} | {'precision': 0.9096689144684782, 'recall': 0.9095886075949368, 'f1-score': 0.9096061427817015, 'support': 31600.0} |
+| 0.0039        | 35.0  | 2835 | 0.7864          | {'precision': 0.6601307189542484, 'recall': 0.7112676056338029, 'f1-score': 0.6847457627118645, 'support': 284.0}  | {'precision': 0.9172932330827067, 'recall': 0.8652482269503546, 'f1-score': 0.8905109489051095, 'support': 141.0} | {'precision': 0.8948126801152738, 'recall': 0.8771186440677966, 'f1-score': 0.8858773181169758, 'support': 708.0} | {'precision': 0.6476719944405838, 'recall': 0.6857983811626196, 'f1-score': 0.6661901358112937, 'support': 4077.0}  | {'precision': 0.9168421052631579, 'recall': 0.8606719367588933, 'f1-score': 0.8878695208970439, 'support': 2024.0} | {'precision': 0.9052848885218827, 'recall': 0.8962557226945717, 'f1-score': 0.9007476789088816, 'support': 12232.0} | {'precision': 0.999505766062603, 'recall': 1.0, 'f1-score': 0.999752821949411, 'support': 12134.0}                  | 0.9044   | {'precision': 0.8487916266343509, 'recall': 0.842337216752577, 'f1-score': 0.8450991696143685, 'support': 31600.0}  | {'precision': 0.9065834718911224, 'recall': 0.9044303797468355, 'f1-score': 0.9053570387841287, 'support': 31600.0} |
+| 0.0039        | 36.0  | 2916 | 0.8269          | {'precision': 0.6377245508982036, 'recall': 0.75, 'f1-score': 0.6893203883495146, 'support': 284.0}                | {'precision': 0.9473684210526315, 'recall': 0.8936170212765957, 'f1-score': 0.9197080291970802, 'support': 141.0} | {'precision': 0.9009009009009009, 'recall': 0.847457627118644, 'f1-score': 0.8733624454148471, 'support': 708.0}  | {'precision': 0.6301280659865423, 'recall': 0.7120431689968114, 'f1-score': 0.6685859051128513, 'support': 4077.0}  | {'precision': 0.9289002557544757, 'recall': 0.8972332015810277, 'f1-score': 0.9127921588338779, 'support': 2024.0} | {'precision': 0.9095776323616894, 'recall': 0.875, 'f1-score': 0.891953831409642, 'support': 12232.0}               | {'precision': 0.9996704564178612, 'recall': 1.0, 'f1-score': 0.9998352010547131, 'support': 12134.0}                | 0.9017   | {'precision': 0.8506100404817578, 'recall': 0.8536215741390113, 'f1-score': 0.8507939941960753, 'support': 31600.0} | {'precision': 0.9068864467581662, 'recall': 0.901740506329114, 'f1-score': 0.9037810789173183, 'support': 31600.0}  |
+| 0.0039        | 37.0  | 2997 | 0.8241          | {'precision': 0.7007299270072993, 'recall': 0.676056338028169, 'f1-score': 0.6881720430107527, 'support': 284.0}   | {'precision': 0.9609375, 'recall': 0.8723404255319149, 'f1-score': 0.9144981412639406, 'support': 141.0}          | {'precision': 0.8782489740082079, 'recall': 0.9067796610169492, 'f1-score': 0.8922863099374566, 'support': 708.0} | {'precision': 0.6927312775330396, 'recall': 0.6171204316899681, 'f1-score': 0.6527435465040861, 'support': 4077.0}  | {'precision': 0.9682539682539683, 'recall': 0.8740118577075099, 'f1-score': 0.9187224097636978, 'support': 2024.0} | {'precision': 0.881268952647539, 'recall': 0.9265860039241334, 'f1-score': 0.9033595026501414, 'support': 12232.0}  | {'precision': 0.998929776899646, 'recall': 1.0, 'f1-score': 0.9994646019521437, 'support': 12134.0}                 | 0.9085   | {'precision': 0.8687286251928145, 'recall': 0.8389849596998064, 'f1-score': 0.8527495078688884, 'support': 31600.0} | {'precision': 0.9063609795032002, 'recall': 0.9085443037974683, 'f1-score': 0.9067800733712568, 'support': 31600.0} |
+| 0.0009        | 38.0  | 3078 | 0.8295          | {'precision': 0.7052238805970149, 'recall': 0.6654929577464789, 'f1-score': 0.6847826086956522, 'support': 284.0}  | {'precision': 0.9333333333333333, 'recall': 0.8936170212765957, 'f1-score': 0.9130434782608695, 'support': 141.0} | {'precision': 0.8794520547945206, 'recall': 0.9067796610169492, 'f1-score': 0.8929068150208623, 'support': 708.0} | {'precision': 0.6934604904632152, 'recall': 0.6242335050282071, 'f1-score': 0.6570285271718084, 'support': 4077.0}  | {'precision': 0.9419989642672191, 'recall': 0.8987154150197628, 'f1-score': 0.9198482932996207, 'support': 2024.0} | {'precision': 0.8874833032136403, 'recall': 0.9233976455199476, 'f1-score': 0.9050843383148364, 'support': 12232.0} | {'precision': 0.9995881044567098, 'recall': 1.0, 'f1-score': 0.9997940098051333, 'support': 12134.0}                | 0.9098   | {'precision': 0.862934304446522, 'recall': 0.8446051722297058, 'f1-score': 0.853212581509826, 'support': 31600.0}   | {'precision': 0.907375879258431, 'recall': 0.9098101265822784, 'f1-score': 0.9081761331803664, 'support': 31600.0}  |
+| 0.0009        | 39.0  | 3159 | 0.8067          | {'precision': 0.6633986928104575, 'recall': 0.7147887323943662, 'f1-score': 0.6881355932203389, 'support': 284.0}  | {'precision': 0.9333333333333333, 'recall': 0.8936170212765957, 'f1-score': 0.9130434782608695, 'support': 141.0} | {'precision': 0.8930635838150289, 'recall': 0.8728813559322034, 'f1-score': 0.882857142857143, 'support': 708.0}  | {'precision': 0.6602370439228445, 'recall': 0.6968359087564385, 'f1-score': 0.6780429594272076, 'support': 4077.0}  | {'precision': 0.9397217928902627, 'recall': 0.9011857707509882, 'f1-score': 0.9200504413619167, 'support': 2024.0} | {'precision': 0.9069844422376696, 'recall': 0.8960104643557881, 'f1-score': 0.9014640565882547, 'support': 12232.0} | {'precision': 0.9995881044567098, 'recall': 1.0, 'f1-score': 0.9997940098051333, 'support': 12134.0}                | 0.9084   | {'precision': 0.8566181419237582, 'recall': 0.8536170362094829, 'f1-score': 0.8547696687886948, 'support': 31600.0} | {'precision': 0.9104213082250453, 'recall': 0.9084177215189874, 'f1-score': 0.909303942725205, 'support': 31600.0}  |
+| 0.0009        | 40.0  | 3240 | 0.8191          | {'precision': 0.6611842105263158, 'recall': 0.7077464788732394, 'f1-score': 0.6836734693877551, 'support': 284.0}  | {'precision': 0.9323308270676691, 'recall': 0.8794326241134752, 'f1-score': 0.9051094890510948, 'support': 141.0} | {'precision': 0.8922413793103449, 'recall': 0.8771186440677966, 'f1-score': 0.8846153846153846, 'support': 708.0} | {'precision': 0.6631729394949977, 'recall': 0.6828550404709345, 'f1-score': 0.672870090634441, 'support': 4077.0}   | {'precision': 0.9453668987680771, 'recall': 0.8720355731225297, 'f1-score': 0.9072217938833205, 'support': 2024.0} | {'precision': 0.9026996166707446, 'recall': 0.9048397645519948, 'f1-score': 0.9037684236312415, 'support': 12232.0} | {'precision': 0.9994234412321884, 'recall': 1.0, 'f1-score': 0.9997116374871267, 'support': 12134.0}                | 0.9081   | {'precision': 0.8566313304386197, 'recall': 0.8462897321714243, 'f1-score': 0.8509957555271949, 'support': 31600.0} | {'precision': 0.9093970342852328, 'recall': 0.908132911392405, 'f1-score': 0.9086391149693867, 'support': 31600.0}  |
+| 0.0009        | 41.0  | 3321 | 0.8454          | {'precision': 0.6783216783216783, 'recall': 0.6830985915492958, 'f1-score': 0.6807017543859649, 'support': 284.0}  | {'precision': 0.9603174603174603, 'recall': 0.8581560283687943, 'f1-score': 0.906367041198502, 'support': 141.0}  | {'precision': 0.8807212205270458, 'recall': 0.8968926553672316, 'f1-score': 0.8887333799860042, 'support': 708.0} | {'precision': 0.6684587813620072, 'recall': 0.6404218788324748, 'f1-score': 0.6541400476011524, 'support': 4077.0}  | {'precision': 0.9708029197080292, 'recall': 0.8542490118577075, 'f1-score': 0.9088042049934297, 'support': 2024.0} | {'precision': 0.8879835456055691, 'recall': 0.9176749509483323, 'f1-score': 0.9025851324729627, 'support': 12232.0} | {'precision': 0.9995881044567098, 'recall': 1.0, 'f1-score': 0.9997940098051333, 'support': 12134.0}                | 0.9066   | {'precision': 0.8637419586140714, 'recall': 0.8357847309891194, 'f1-score': 0.8487322243490213, 'support': 31600.0} | {'precision': 0.9060957940857044, 'recall': 0.9066139240506329, 'f1-score': 0.9059686969761411, 'support': 31600.0} |
+| 0.0009        | 42.0  | 3402 | 0.8325          | {'precision': 0.6736111111111112, 'recall': 0.6830985915492958, 'f1-score': 0.6783216783216783, 'support': 284.0}  | {'precision': 0.9538461538461539, 'recall': 0.8794326241134752, 'f1-score': 0.915129151291513, 'support': 141.0}  | {'precision': 0.8811188811188811, 'recall': 0.8898305084745762, 'f1-score': 0.8854532677442023, 'support': 708.0} | {'precision': 0.6721228909594561, 'recall': 0.6546480255089526, 'f1-score': 0.6632703777335984, 'support': 4077.0}  | {'precision': 0.9587404994571118, 'recall': 0.8725296442687747, 'f1-score': 0.9136057941024315, 'support': 2024.0} | {'precision': 0.8926002876778009, 'recall': 0.9131785480706344, 'f1-score': 0.902772165198416, 'support': 12232.0}  | {'precision': 0.999505766062603, 'recall': 1.0, 'f1-score': 0.999752821949411, 'support': 12134.0}                  | 0.9078   | {'precision': 0.8616493700333026, 'recall': 0.8418168488551013, 'f1-score': 0.8511864651916071, 'support': 31600.0} | {'precision': 0.9074890985032094, 'recall': 0.9078164556962025, 'f1-score': 0.9074550254450232, 'support': 31600.0} |
+| 0.0009        | 43.0  | 3483 | 0.8308          | {'precision': 0.6577181208053692, 'recall': 0.6901408450704225, 'f1-score': 0.6735395189003436, 'support': 284.0}  | {'precision': 0.9064748201438849, 'recall': 0.8936170212765957, 'f1-score': 0.9, 'support': 141.0}                | {'precision': 0.889367816091954, 'recall': 0.8742937853107344, 'f1-score': 0.8817663817663818, 'support': 708.0}  | {'precision': 0.6628445962429861, 'recall': 0.6664213882756929, 'f1-score': 0.6646281800391389, 'support': 4077.0}  | {'precision': 0.91600790513834, 'recall': 0.91600790513834, 'f1-score': 0.91600790513834, 'support': 2024.0}       | {'precision': 0.9002048340843917, 'recall': 0.8982177894048398, 'f1-score': 0.8992102140197242, 'support': 12232.0} | {'precision': 0.9995881044567098, 'recall': 1.0, 'f1-score': 0.9997940098051333, 'support': 12134.0}                | 0.9061   | {'precision': 0.8474580281376622, 'recall': 0.8483855334966608, 'f1-score': 0.8478494585241517, 'support': 31600.0} | {'precision': 0.9063608328678091, 'recall': 0.9061075949367089, 'f1-score': 0.906227998877931, 'support': 31600.0}  |
+| 0.0008        | 44.0  | 3564 | 0.8276          | {'precision': 0.7007299270072993, 'recall': 0.676056338028169, 'f1-score': 0.6881720430107527, 'support': 284.0}   | {'precision': 0.9398496240601504, 'recall': 0.8865248226950354, 'f1-score': 0.9124087591240877, 'support': 141.0} | {'precision': 0.8801652892561983, 'recall': 0.902542372881356, 'f1-score': 0.8912133891213389, 'support': 708.0}  | {'precision': 0.7001887301159342, 'recall': 0.6369879813588423, 'f1-score': 0.6670947855124583, 'support': 4077.0}  | {'precision': 0.9422268907563025, 'recall': 0.8863636363636364, 'f1-score': 0.9134419551934826, 'support': 2024.0} | {'precision': 0.8898325076669026, 'recall': 0.9251144538914323, 'f1-score': 0.9071305463144815, 'support': 12232.0} | {'precision': 0.9997528219494108, 'recall': 1.0, 'f1-score': 0.9998763956985703, 'support': 12134.0}                | 0.9113   | {'precision': 0.8646779701160282, 'recall': 0.8447985150312102, 'f1-score': 0.8541911248535959, 'support': 31600.0} | {'precision': 0.9092358156944642, 'recall': 0.9112974683544304, 'f1-score': 0.9098779291303972, 'support': 31600.0} |
+| 0.0008        | 45.0  | 3645 | 0.8216          | {'precision': 0.6827586206896552, 'recall': 0.6971830985915493, 'f1-score': 0.6898954703832753, 'support': 284.0}  | {'precision': 0.968, 'recall': 0.8581560283687943, 'f1-score': 0.9097744360902256, 'support': 141.0}              | {'precision': 0.883008356545961, 'recall': 0.8954802259887006, 'f1-score': 0.8892005610098177, 'support': 708.0}  | {'precision': 0.6714250553777996, 'recall': 0.6691194505764042, 'f1-score': 0.6702702702702702, 'support': 4077.0}  | {'precision': 0.9788087056128293, 'recall': 0.8443675889328063, 'f1-score': 0.906631299734748, 'support': 2024.0}  | {'precision': 0.89417778132737, 'recall': 0.9153041203400916, 'f1-score': 0.9046176221064114, 'support': 12232.0}   | {'precision': 0.9997528219494108, 'recall': 1.0, 'f1-score': 0.9998763956985703, 'support': 12134.0}                | 0.9089   | {'precision': 0.8682759059290036, 'recall': 0.8399443589711922, 'f1-score': 0.8528951507561883, 'support': 31600.0} | {'precision': 0.90957764235369, 'recall': 0.9088607594936708, 'f1-score': 0.9088373129063172, 'support': 31600.0}   |
+| 0.0008        | 46.0  | 3726 | 0.8219          | {'precision': 0.6779661016949152, 'recall': 0.704225352112676, 'f1-score': 0.690846286701209, 'support': 284.0}    | {'precision': 0.9538461538461539, 'recall': 0.8794326241134752, 'f1-score': 0.915129151291513, 'support': 141.0}  | {'precision': 0.8884180790960452, 'recall': 0.8884180790960452, 'f1-score': 0.8884180790960452, 'support': 708.0} | {'precision': 0.670194437607679, 'recall': 0.6678930586215355, 'f1-score': 0.6690417690417692, 'support': 4077.0}   | {'precision': 0.9608908202064096, 'recall': 0.8740118577075099, 'f1-score': 0.9153945666235447, 'support': 2024.0} | {'precision': 0.8958383643242372, 'recall': 0.9098266841072596, 'f1-score': 0.9027783411072804, 'support': 12232.0} | {'precision': 0.999505766062603, 'recall': 1.0, 'f1-score': 0.999752821949411, 'support': 12134.0}                  | 0.9085   | {'precision': 0.8638085318340061, 'recall': 0.8462582365369287, 'f1-score': 0.8544801451158246, 'support': 31600.0} | {'precision': 0.9088341221713809, 'recall': 0.9084810126582279, 'f1-score': 0.9084955968652848, 'support': 31600.0} |
+| 0.0008        | 47.0  | 3807 | 0.8161          | {'precision': 0.6928571428571428, 'recall': 0.6830985915492958, 'f1-score': 0.6879432624113475, 'support': 284.0}  | {'precision': 0.9461538461538461, 'recall': 0.8723404255319149, 'f1-score': 0.9077490774907749, 'support': 141.0} | {'precision': 0.8824343015214384, 'recall': 0.9011299435028248, 'f1-score': 0.8916841369671559, 'support': 708.0} | {'precision': 0.6951885565669701, 'recall': 0.6556291390728477, 'f1-score': 0.6748295884877556, 'support': 4077.0}  | {'precision': 0.974669603524229, 'recall': 0.8745059288537549, 'f1-score': 0.921875, 'support': 2024.0}            | {'precision': 0.8908976079576854, 'recall': 0.9225801177240026, 'f1-score': 0.9064621069119243, 'support': 12232.0} | {'precision': 0.9995881044567098, 'recall': 1.0, 'f1-score': 0.9997940098051333, 'support': 12134.0}                | 0.9119   | {'precision': 0.868827023291146, 'recall': 0.8441834494620916, 'f1-score': 0.8557624545820132, 'support': 31600.0}  | {'precision': 0.9110259249692721, 'recall': 0.9119303797468354, 'f1-score': 0.9111133264053953, 'support': 31600.0} |
+| 0.0008        | 48.0  | 3888 | 0.8136          | {'precision': 0.6866197183098591, 'recall': 0.6866197183098591, 'f1-score': 0.6866197183098591, 'support': 284.0}  | {'precision': 0.9253731343283582, 'recall': 0.8794326241134752, 'f1-score': 0.9018181818181819, 'support': 141.0} | {'precision': 0.8867132867132868, 'recall': 0.8954802259887006, 'f1-score': 0.8910751932536893, 'support': 708.0} | {'precision': 0.6768637532133676, 'recall': 0.6458180034338975, 'f1-score': 0.6609765281787372, 'support': 4077.0}  | {'precision': 0.9365495542737283, 'recall': 0.8824110671936759, 'f1-score': 0.9086746374968201, 'support': 2024.0} | {'precision': 0.8925151611873604, 'recall': 0.914404839764552, 'f1-score': 0.9033274107575513, 'support': 12232.0}  | {'precision': 0.9996704564178612, 'recall': 1.0, 'f1-score': 0.9998352010547131, 'support': 12134.0}                | 0.9079   | {'precision': 0.8577578663491173, 'recall': 0.84345235411488, 'f1-score': 0.8503324101242218, 'support': 31600.0}   | {'precision': 0.9068249116598845, 'recall': 0.9079430379746836, 'f1-score': 0.9072309363962819, 'support': 31600.0} |
+| 0.0008        | 49.0  | 3969 | 0.8144          | {'precision': 0.6942446043165468, 'recall': 0.6795774647887324, 'f1-score': 0.6868327402135231, 'support': 284.0}  | {'precision': 0.9253731343283582, 'recall': 0.8794326241134752, 'f1-score': 0.9018181818181819, 'support': 141.0} | {'precision': 0.8848821081830791, 'recall': 0.9011299435028248, 'f1-score': 0.8929321203638908, 'support': 708.0} | {'precision': 0.6846799580272823, 'recall': 0.6401766004415012, 'f1-score': 0.6616808213968818, 'support': 4077.0}  | {'precision': 0.9341004184100419, 'recall': 0.8824110671936759, 'f1-score': 0.907520325203252, 'support': 2024.0}  | {'precision': 0.8917096390321301, 'recall': 0.9189012426422498, 'f1-score': 0.9051012602166123, 'support': 12232.0} | {'precision': 0.9996704564178612, 'recall': 1.0, 'f1-score': 0.9998352010547131, 'support': 12134.0}                | 0.9090   | {'precision': 0.8592371883879, 'recall': 0.843089848954637, 'f1-score': 0.8508172357524364, 'support': 31600.0}     | {'precision': 0.9073921731238708, 'recall': 0.9090189873417721, 'f1-score': 0.9079780251483734, 'support': 31600.0} |
+| 0.0004        | 50.0  | 4050 | 0.8144          | {'precision': 0.6953405017921147, 'recall': 0.6830985915492958, 'f1-score': 0.6891651865008882, 'support': 284.0}  | {'precision': 0.9323308270676691, 'recall': 0.8794326241134752, 'f1-score': 0.9051094890510948, 'support': 141.0} | {'precision': 0.8848821081830791, 'recall': 0.9011299435028248, 'f1-score': 0.8929321203638908, 'support': 708.0} | {'precision': 0.6836601307189543, 'recall': 0.6414029923963699, 'f1-score': 0.6618577575297392, 'support': 4077.0}  | {'precision': 0.9350785340314136, 'recall': 0.8824110671936759, 'f1-score': 0.9079816980172852, 'support': 2024.0} | {'precision': 0.8918532634587899, 'recall': 0.9182472204054938, 'f1-score': 0.9048578103601064, 'support': 12232.0} | {'precision': 0.9996704564178612, 'recall': 1.0, 'f1-score': 0.9998352010547131, 'support': 12134.0}                | 0.9090   | {'precision': 0.8604022602385546, 'recall': 0.8436746341658764, 'f1-score': 0.8516770375539596, 'support': 31600.0} | {'precision': 0.9074197349475357, 'recall': 0.9089556962025317, 'f1-score': 0.907971816211979, 'support': 31600.0}  |
 ### Framework versions
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
 - Tokenizers 0.15.2

meta_data/README_s42_e50.md ADDED Viewed

	@@ -0,0 +1,133 @@

+---
+license: apache-2.0
+base_model: allenai/longformer-base-4096
+tags:
+- generated_from_trainer
+datasets:
+- essays_su_g
+metrics:
+- accuracy
+model-index:
+- name: longformer-sep_tok_full_labels
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: essays_su_g
+      type: essays_su_g
+      config: sep_tok_full_labels
+      split: train[0%:20%]
+      args: sep_tok_full_labels
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9089556962025317
+---
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+# longformer-sep_tok_full_labels
+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: 0.8144
+- B-claim: {'precision': 0.6953405017921147, 'recall': 0.6830985915492958, 'f1-score': 0.6891651865008882, 'support': 284.0}
+- B-majorclaim: {'precision': 0.9323308270676691, 'recall': 0.8794326241134752, 'f1-score': 0.9051094890510948, 'support': 141.0}
+- B-premise: {'precision': 0.8848821081830791, 'recall': 0.9011299435028248, 'f1-score': 0.8929321203638908, 'support': 708.0}
+- I-claim: {'precision': 0.6836601307189543, 'recall': 0.6414029923963699, 'f1-score': 0.6618577575297392, 'support': 4077.0}
+- I-majorclaim: {'precision': 0.9350785340314136, 'recall': 0.8824110671936759, 'f1-score': 0.9079816980172852, 'support': 2024.0}
+- I-premise: {'precision': 0.8918532634587899, 'recall': 0.9182472204054938, 'f1-score': 0.9048578103601064, 'support': 12232.0}
+- O: {'precision': 0.9996704564178612, 'recall': 1.0, 'f1-score': 0.9998352010547131, 'support': 12134.0}
+- Accuracy: 0.9090
+- Macro avg: {'precision': 0.8604022602385546, 'recall': 0.8436746341658764, 'f1-score': 0.8516770375539596, 'support': 31600.0}
+- Weighted avg: {'precision': 0.9074197349475357, 'recall': 0.9089556962025317, 'f1-score': 0.907971816211979, 'support': 31600.0}
+## Model description
+More information needed
+## Intended uses & limitations
+More information needed
+## Training and evaluation data
+More information needed
+## Training procedure
+### Training hyperparameters
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 50
+### Training results
+| Training Loss | Epoch | Step | Validation Loss | B-claim                                                                                                            | B-majorclaim                                                                                                      | B-premise                                                                                                         | I-claim                                                                                                             | I-majorclaim                                                                                                       | I-premise                                                                                                           | O                                                                                                                   | Accuracy | Macro avg                                                                                                           | Weighted avg                                                                                                        |
+|:-------------:|:-----:|:----:|:---------------:|:------------------------------------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:--------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|
+| No log        | 1.0   | 81   | 0.3326          | {'precision': 0.23275862068965517, 'recall': 0.09507042253521127, 'f1-score': 0.135, 'support': 284.0}             | {'precision': 1.0, 'recall': 0.0070921985815602835, 'f1-score': 0.014084507042253521, 'support': 141.0}           | {'precision': 0.7025948103792415, 'recall': 0.9943502824858758, 'f1-score': 0.8233918128654971, 'support': 708.0} | {'precision': 0.5555555555555556, 'recall': 0.3102771645818003, 'f1-score': 0.39817437834435004, 'support': 4077.0} | {'precision': 0.8446601941747572, 'recall': 0.6017786561264822, 'f1-score': 0.7028274668205424, 'support': 2024.0} | {'precision': 0.8097785092230679, 'recall': 0.9654185742315239, 'f1-score': 0.8807756852507925, 'support': 12232.0} | {'precision': 0.9958945726250102, 'recall': 0.9995879347288611, 'f1-score': 0.9977378357257435, 'support': 12134.0} | 0.8593   | {'precision': 0.734463180378184, 'recall': 0.5676536047530449, 'f1-score': 0.5645702408641685, 'support': 31600.0}  | {'precision': 0.8439407682304593, 'recall': 0.8592721518987342, 'f1-score': 0.840169814336718, 'support': 31600.0}  |
+| No log        | 2.0   | 162  | 0.3249          | {'precision': 0.5647668393782384, 'recall': 0.38380281690140844, 'f1-score': 0.4570230607966457, 'support': 284.0} | {'precision': 0.8888888888888888, 'recall': 0.5673758865248227, 'f1-score': 0.6926406926406928, 'support': 141.0} | {'precision': 0.7981220657276995, 'recall': 0.96045197740113, 'f1-score': 0.8717948717948718, 'support': 708.0}   | {'precision': 0.6064968623108158, 'recall': 0.4029923963698798, 'f1-score': 0.48423224285293254, 'support': 4077.0} | {'precision': 0.9049773755656109, 'recall': 0.5928853754940712, 'f1-score': 0.7164179104477612, 'support': 2024.0} | {'precision': 0.832260321903429, 'recall': 0.9722858077174624, 'f1-score': 0.896840358947289, 'support': 12232.0}   | {'precision': 0.9988467874794069, 'recall': 0.9993406955661777, 'f1-score': 0.9990936804811733, 'support': 12134.0} | 0.8776   | {'precision': 0.7991941630362983, 'recall': 0.6970192794249932, 'f1-score': 0.7311489739944809, 'support': 31600.0} | {'precision': 0.8688409693302476, 'recall': 0.8775632911392405, 'f1-score': 0.8658888085638868, 'support': 31600.0} |
+| No log        | 3.0   | 243  | 0.2603          | {'precision': 0.6473214285714286, 'recall': 0.5105633802816901, 'f1-score': 0.5708661417322833, 'support': 284.0}  | {'precision': 0.8345864661654135, 'recall': 0.7872340425531915, 'f1-score': 0.8102189781021898, 'support': 141.0} | {'precision': 0.847741935483871, 'recall': 0.9279661016949152, 'f1-score': 0.8860418071476737, 'support': 708.0}  | {'precision': 0.6502840909090909, 'recall': 0.5614422369389257, 'f1-score': 0.6026062919573516, 'support': 4077.0}  | {'precision': 0.8301886792452831, 'recall': 0.8043478260869565, 'f1-score': 0.8170639899623588, 'support': 2024.0} | {'precision': 0.8837009899446566, 'recall': 0.9268312622629169, 'f1-score': 0.9047524041339132, 'support': 12232.0} | {'precision': 0.9972034874156934, 'recall': 0.9991758694577221, 'f1-score': 0.9981887041001153, 'support': 12134.0} | 0.8953   | {'precision': 0.8130038682479196, 'recall': 0.7882229598966168, 'f1-score': 0.7985340453051265, 'support': 31600.0} | {'precision': 0.8905925638765844, 'recall': 0.8952848101265822, 'f1-score': 0.8921899041308763, 'support': 31600.0} |
+| No log        | 4.0   | 324  | 0.3208          | {'precision': 0.5478723404255319, 'recall': 0.7253521126760564, 'f1-score': 0.6242424242424244, 'support': 284.0}  | {'precision': 0.7926829268292683, 'recall': 0.9219858156028369, 'f1-score': 0.8524590163934427, 'support': 141.0} | {'precision': 0.9159663865546218, 'recall': 0.769774011299435, 'f1-score': 0.8365310821181888, 'support': 708.0}  | {'precision': 0.5391455972101133, 'recall': 0.7584007848908512, 'f1-score': 0.6302486750917244, 'support': 4077.0}  | {'precision': 0.7994825355756792, 'recall': 0.91600790513834, 'f1-score': 0.8537877043518306, 'support': 2024.0}   | {'precision': 0.9427625815243843, 'recall': 0.7917756703727927, 'f1-score': 0.8606976227504999, 'support': 12232.0} | {'precision': 0.9985170538803757, 'recall': 0.9988462172408109, 'f1-score': 0.998681608437706, 'support': 12134.0}  | 0.8744   | {'precision': 0.7909184888571392, 'recall': 0.8403060738887318, 'f1-score': 0.8080925904836882, 'support': 31600.0} | {'precision': 0.8981011177172786, 'recall': 0.8744303797468355, 'f1-score': 0.8808035346886173, 'support': 31600.0} |
+| No log        | 5.0   | 405  | 0.3258          | {'precision': 0.6464285714285715, 'recall': 0.6373239436619719, 'f1-score': 0.6418439716312057, 'support': 284.0}  | {'precision': 0.8923076923076924, 'recall': 0.8226950354609929, 'f1-score': 0.8560885608856089, 'support': 141.0} | {'precision': 0.8741355463347165, 'recall': 0.8926553672316384, 'f1-score': 0.883298392732355, 'support': 708.0}  | {'precision': 0.6225490196078431, 'recall': 0.6230071130733382, 'f1-score': 0.6227779821012628, 'support': 4077.0}  | {'precision': 0.9174364896073903, 'recall': 0.7850790513833992, 'f1-score': 0.8461128860489883, 'support': 2024.0} | {'precision': 0.8866928062735057, 'recall': 0.9059025506867233, 'f1-score': 0.8961947511019451, 'support': 12232.0} | {'precision': 0.9978614903767067, 'recall': 0.9998351738915444, 'f1-score': 0.9988473571546188, 'support': 12134.0} | 0.8947   | {'precision': 0.8339159451337751, 'recall': 0.8094997479128011, 'f1-score': 0.8207377002365693, 'support': 31600.0} | {'precision': 0.8948541330437054, 'recall': 0.8946518987341772, 'f1-score': 0.8943744866666387, 'support': 31600.0} |
+| No log        | 6.0   | 486  | 0.3819          | {'precision': 0.668, 'recall': 0.5880281690140845, 'f1-score': 0.6254681647940075, 'support': 284.0}               | {'precision': 0.8823529411764706, 'recall': 0.851063829787234, 'f1-score': 0.8664259927797834, 'support': 141.0}  | {'precision': 0.8607764390896921, 'recall': 0.9081920903954802, 'f1-score': 0.8838487972508592, 'support': 708.0} | {'precision': 0.6385115180153573, 'recall': 0.5302918812852587, 'f1-score': 0.5793916655500468, 'support': 4077.0}  | {'precision': 0.8816371681415929, 'recall': 0.7875494071146245, 'f1-score': 0.8319415448851774, 'support': 2024.0} | {'precision': 0.8668801463860933, 'recall': 0.9295291039895357, 'f1-score': 0.8971121982010416, 'support': 12232.0} | {'precision': 0.9979435716048367, 'recall': 0.9998351738915444, 'f1-score': 0.9988884772137829, 'support': 12134.0} | 0.8920   | {'precision': 0.8280145406305776, 'recall': 0.7992128079253946, 'f1-score': 0.8118681200963855, 'support': 31600.0} | {'precision': 0.886833032256214, 'recall': 0.8920253164556962, 'f1-score': 0.88815135033036, 'support': 31600.0}    |
+| 0.2533        | 7.0   | 567  | 0.3827          | {'precision': 0.6228373702422145, 'recall': 0.6338028169014085, 'f1-score': 0.6282722513089006, 'support': 284.0}  | {'precision': 0.9611650485436893, 'recall': 0.7021276595744681, 'f1-score': 0.8114754098360656, 'support': 141.0} | {'precision': 0.8638814016172507, 'recall': 0.905367231638418, 'f1-score': 0.8841379310344828, 'support': 708.0}  | {'precision': 0.6089494163424124, 'recall': 0.6141770909982831, 'f1-score': 0.6115520820613017, 'support': 4077.0}  | {'precision': 0.9721611721611721, 'recall': 0.6556324110671937, 'f1-score': 0.78312186485689, 'support': 2024.0}   | {'precision': 0.8794795886569025, 'recall': 0.9229071288423807, 'f1-score': 0.9006701771182384, 'support': 12232.0} | {'precision': 0.9981897473874763, 'recall': 0.9997527608373167, 'f1-score': 0.9989706427306789, 'support': 12134.0} | 0.8915   | {'precision': 0.8438091064215882, 'recall': 0.776252442837067, 'f1-score': 0.8026000512780798, 'support': 31600.0}  | {'precision': 0.8938040450465683, 'recall': 0.8914873417721519, 'f1-score': 0.8903690153724573, 'support': 31600.0} |
+| 0.2533        | 8.0   | 648  | 0.4193          | {'precision': 0.6566666666666666, 'recall': 0.6936619718309859, 'f1-score': 0.6746575342465753, 'support': 284.0}  | {'precision': 0.8767123287671232, 'recall': 0.9078014184397163, 'f1-score': 0.89198606271777, 'support': 141.0}   | {'precision': 0.8981077147016011, 'recall': 0.8714689265536724, 'f1-score': 0.8845878136200716, 'support': 708.0} | {'precision': 0.6460472892285646, 'recall': 0.6634780475840079, 'f1-score': 0.654646660212972, 'support': 4077.0}   | {'precision': 0.8898765432098765, 'recall': 0.8903162055335968, 'f1-score': 0.8900963200790318, 'support': 2024.0} | {'precision': 0.9043643577450818, 'recall': 0.8944571615434925, 'f1-score': 0.899383477188656, 'support': 12232.0}  | {'precision': 0.9979435716048367, 'recall': 0.9998351738915444, 'f1-score': 0.9988884772137829, 'support': 12134.0} | 0.9026   | {'precision': 0.8385312102748215, 'recall': 0.8458598436252881, 'f1-score': 0.8420351921826942, 'support': 31600.0} | {'precision': 0.9035521226940129, 'recall': 0.9025949367088607, 'f1-score': 0.9030373989754484, 'support': 31600.0} |
+| 0.2533        | 9.0   | 729  | 0.4639          | {'precision': 0.6351351351351351, 'recall': 0.6619718309859155, 'f1-score': 0.6482758620689655, 'support': 284.0}  | {'precision': 0.9140625, 'recall': 0.8297872340425532, 'f1-score': 0.8698884758364313, 'support': 141.0}          | {'precision': 0.8772919605077574, 'recall': 0.8785310734463276, 'f1-score': 0.8779110797459421, 'support': 708.0} | {'precision': 0.6366223908918406, 'recall': 0.6583272013735589, 'f1-score': 0.6472928976245026, 'support': 4077.0}  | {'precision': 0.9625890736342043, 'recall': 0.8008893280632411, 'f1-score': 0.8743257820927725, 'support': 2024.0} | {'precision': 0.891213389121339, 'recall': 0.9054937867887508, 'f1-score': 0.8982968369829685, 'support': 12232.0}  | {'precision': 0.9993409671307356, 'recall': 0.9997527608373167, 'f1-score': 0.9995468215712932, 'support': 12134.0} | 0.9000   | {'precision': 0.8451793452030018, 'recall': 0.8192504593625234, 'f1-score': 0.8307911079889821, 'support': 31600.0} | {'precision': 0.9019461753960791, 'recall': 0.8999683544303797, 'f1-score': 0.9004253871478879, 'support': 31600.0} |
+| 0.2533        | 10.0  | 810  | 0.6042          | {'precision': 0.7027027027027027, 'recall': 0.5492957746478874, 'f1-score': 0.6166007905138341, 'support': 284.0}  | {'precision': 0.9224806201550387, 'recall': 0.8439716312056738, 'f1-score': 0.8814814814814815, 'support': 141.0} | {'precision': 0.8452685421994884, 'recall': 0.9336158192090396, 'f1-score': 0.8872483221476509, 'support': 708.0} | {'precision': 0.6888888888888889, 'recall': 0.5094432180524896, 'f1-score': 0.5857304004512126, 'support': 4077.0}  | {'precision': 0.8985122210414452, 'recall': 0.8354743083003953, 'f1-score': 0.8658474142345111, 'support': 2024.0} | {'precision': 0.8613160444146359, 'recall': 0.9448986265533028, 'f1-score': 0.9011734435304667, 'support': 12232.0} | {'precision': 0.9986009381943873, 'recall': 1.0, 'f1-score': 0.9992999794111592, 'support': 12134.0}                | 0.8986   | {'precision': 0.845395708228084, 'recall': 0.8023856254241126, 'f1-score': 0.819625975967188, 'support': 31600.0}   | {'precision': 0.8926556277723124, 'recall': 0.8986075949367088, 'f1-score': 0.8929345837330782, 'support': 31600.0} |
+| 0.2533        | 11.0  | 891  | 0.5668          | {'precision': 0.7142857142857143, 'recall': 0.545774647887324, 'f1-score': 0.6187624750499001, 'support': 284.0}   | {'precision': 0.9166666666666666, 'recall': 0.8581560283687943, 'f1-score': 0.8864468864468864, 'support': 141.0} | {'precision': 0.8431122448979592, 'recall': 0.9336158192090396, 'f1-score': 0.8860589812332441, 'support': 708.0} | {'precision': 0.6964671953857245, 'recall': 0.47387785136129507, 'f1-score': 0.5640052547073421, 'support': 4077.0} | {'precision': 0.8942917547568711, 'recall': 0.8359683794466403, 'f1-score': 0.86414708886619, 'support': 2024.0}   | {'precision': 0.8518274371932909, 'recall': 0.9507848266841072, 'f1-score': 0.898589916940313, 'support': 12232.0}  | {'precision': 0.998847546921304, 'recall': 1.0, 'f1-score': 0.9994234412321885, 'support': 12134.0}                 | 0.8964   | {'precision': 0.8450712228725044, 'recall': 0.7997396504224572, 'f1-score': 0.8167762920680092, 'support': 31600.0} | {'precision': 0.8898146590364506, 'recall': 0.8963607594936709, 'f1-score': 0.889085010881285, 'support': 31600.0}  |
+| 0.2533        | 12.0  | 972  | 0.5729          | {'precision': 0.631578947368421, 'recall': 0.7605633802816901, 'f1-score': 0.6900958466453674, 'support': 284.0}   | {'precision': 0.9130434782608695, 'recall': 0.8936170212765957, 'f1-score': 0.9032258064516129, 'support': 141.0} | {'precision': 0.9096477794793262, 'recall': 0.8389830508474576, 'f1-score': 0.872887582659809, 'support': 708.0}  | {'precision': 0.6274635818337618, 'recall': 0.7184204071621291, 'f1-score': 0.6698684962835907, 'support': 4077.0}  | {'precision': 0.9063136456211812, 'recall': 0.8794466403162056, 'f1-score': 0.8926780341023068, 'support': 2024.0} | {'precision': 0.9143712574850299, 'recall': 0.8738554610856769, 'f1-score': 0.8936543767243541, 'support': 12232.0} | {'precision': 0.9990942774804447, 'recall': 1.0, 'f1-score': 0.9995469335639853, 'support': 12134.0}                | 0.9009   | {'precision': 0.8430732810755763, 'recall': 0.8521265658528222, 'f1-score': 0.8459938680615754, 'support': 31600.0} | {'precision': 0.9067178862574966, 'recall': 0.9008860759493671, 'f1-score': 0.9031285916458567, 'support': 31600.0} |
+| 0.0325        | 13.0  | 1053 | 0.6332          | {'precision': 0.6585365853658537, 'recall': 0.6654929577464789, 'f1-score': 0.6619964973730298, 'support': 284.0}  | {'precision': 0.8260869565217391, 'recall': 0.9432624113475178, 'f1-score': 0.8807947019867549, 'support': 141.0} | {'precision': 0.8948905109489051, 'recall': 0.865819209039548, 'f1-score': 0.8801148600143575, 'support': 708.0}  | {'precision': 0.6492939666238767, 'recall': 0.6203090507726269, 'f1-score': 0.634470647265429, 'support': 4077.0}   | {'precision': 0.8399822695035462, 'recall': 0.9362648221343873, 'f1-score': 0.8855140186915889, 'support': 2024.0} | {'precision': 0.8975770020533881, 'recall': 0.8933943754087639, 'f1-score': 0.8954808046871798, 'support': 12232.0} | {'precision': 0.9994234412321884, 'recall': 1.0, 'f1-score': 0.9997116374871267, 'support': 12134.0}                | 0.8994   | {'precision': 0.8236843903213568, 'recall': 0.8463632609213317, 'f1-score': 0.8340118810722095, 'support': 31600.0} | {'precision': 0.8984350213067859, 'recall': 0.8993987341772152, 'f1-score': 0.8986822719639097, 'support': 31600.0} |
+| 0.0325        | 14.0  | 1134 | 0.6413          | {'precision': 0.6509433962264151, 'recall': 0.7288732394366197, 'f1-score': 0.6877076411960134, 'support': 284.0}  | {'precision': 0.8589743589743589, 'recall': 0.950354609929078, 'f1-score': 0.9023569023569024, 'support': 141.0}  | {'precision': 0.9089529590288316, 'recall': 0.846045197740113, 'f1-score': 0.8763716166788588, 'support': 708.0}  | {'precision': 0.6471537220557733, 'recall': 0.6887417218543046, 'f1-score': 0.6673003802281369, 'support': 4077.0}  | {'precision': 0.8577919127669241, 'recall': 0.932806324110672, 'f1-score': 0.8937278106508876, 'support': 2024.0}  | {'precision': 0.913703860840051, 'recall': 0.8803139306736429, 'f1-score': 0.896698172128076, 'support': 12232.0}   | {'precision': 0.999341129962115, 'recall': 1.0, 'f1-score': 0.9996704564178612, 'support': 12134.0}                 | 0.9031   | {'precision': 0.8338373342649241, 'recall': 0.8610192891063473, 'f1-score': 0.8462618542366765, 'support': 31600.0} | {'precision': 0.9059040967453655, 'recall': 0.9031012658227848, 'f1-score': 0.9041428638143382, 'support': 31600.0} |
+| 0.0325        | 15.0  | 1215 | 0.5514          | {'precision': 0.7022058823529411, 'recall': 0.6725352112676056, 'f1-score': 0.6870503597122303, 'support': 284.0}  | {'precision': 0.8791946308724832, 'recall': 0.9290780141843972, 'f1-score': 0.9034482758620689, 'support': 141.0} | {'precision': 0.8877980364656382, 'recall': 0.8940677966101694, 'f1-score': 0.8909218859957775, 'support': 708.0} | {'precision': 0.6826568265682657, 'recall': 0.635271032622026, 'f1-score': 0.6581120569177995, 'support': 4077.0}   | {'precision': 0.8873653281096964, 'recall': 0.8952569169960475, 'f1-score': 0.8912936546974914, 'support': 2024.0} | {'precision': 0.8958216376614003, 'recall': 0.9131785480706344, 'f1-score': 0.9044168252297478, 'support': 12232.0} | {'precision': 0.9977797878463942, 'recall': 1.0, 'f1-score': 0.9988886602181518, 'support': 12134.0}                | 0.9070   | {'precision': 0.8475460185538312, 'recall': 0.848483931392983, 'f1-score': 0.8477331026618954, 'support': 31600.0}  | {'precision': 0.904934286296651, 'recall': 0.906993670886076, 'f1-score': 0.9058140514809733, 'support': 31600.0}   |
+| 0.0325        | 16.0  | 1296 | 0.7128          | {'precision': 0.6388888888888888, 'recall': 0.7288732394366197, 'f1-score': 0.6809210526315789, 'support': 284.0}  | {'precision': 0.8835616438356164, 'recall': 0.9148936170212766, 'f1-score': 0.8989547038327526, 'support': 141.0} | {'precision': 0.9049773755656109, 'recall': 0.847457627118644, 'f1-score': 0.87527352297593, 'support': 708.0}    | {'precision': 0.6328005255090869, 'recall': 0.7088545499141525, 'f1-score': 0.6686719111522443, 'support': 4077.0}  | {'precision': 0.8926470588235295, 'recall': 0.8997035573122529, 'f1-score': 0.8961614173228347, 'support': 2024.0} | {'precision': 0.9158038846581672, 'recall': 0.875, 'f1-score': 0.8949370793093356, 'support': 12232.0}              | {'precision': 0.9967961882855499, 'recall': 1.0, 'f1-score': 0.9983955239231497, 'support': 12134.0}                | 0.9014   | {'precision': 0.8379250807952071, 'recall': 0.8535403701147065, 'f1-score': 0.8447593158782608, 'support': 31600.0} | {'precision': 0.9060327238443245, 'recall': 0.9013924050632911, 'f1-score': 0.9032036575404796, 'support': 31600.0} |
+| 0.0325        | 17.0  | 1377 | 0.7222          | {'precision': 0.660958904109589, 'recall': 0.6795774647887324, 'f1-score': 0.670138888888889, 'support': 284.0}    | {'precision': 0.9508196721311475, 'recall': 0.8226950354609929, 'f1-score': 0.8821292775665398, 'support': 141.0} | {'precision': 0.8789986091794159, 'recall': 0.8926553672316384, 'f1-score': 0.8857743517869656, 'support': 708.0} | {'precision': 0.6413235665572115, 'recall': 0.6227618346823645, 'f1-score': 0.6319064211050274, 'support': 4077.0}  | {'precision': 0.946236559139785, 'recall': 0.782608695652174, 'f1-score': 0.8566792861005951, 'support': 2024.0}   | {'precision': 0.8838511275824003, 'recall': 0.9163669064748201, 'f1-score': 0.8998153648551016, 'support': 12232.0} | {'precision': 0.9985187623436471, 'recall': 1.0, 'f1-score': 0.9992588322490323, 'support': 12134.0}                | 0.8990   | {'precision': 0.8515296001490282, 'recall': 0.8166664720415316, 'f1-score': 0.8322432032217357, 'support': 31600.0} | {'precision': 0.89877409965997, 'recall': 0.8989556962025317, 'f1-score': 0.8982144772460968, 'support': 31600.0}   |
+| 0.0325        | 18.0  | 1458 | 0.7015          | {'precision': 0.6533333333333333, 'recall': 0.6901408450704225, 'f1-score': 0.6712328767123288, 'support': 284.0}  | {'precision': 0.9242424242424242, 'recall': 0.8652482269503546, 'f1-score': 0.8937728937728938, 'support': 141.0} | {'precision': 0.8858773181169758, 'recall': 0.8771186440677966, 'f1-score': 0.8814762242725337, 'support': 708.0} | {'precision': 0.6523892052488239, 'recall': 0.6463085602158449, 'f1-score': 0.64933464760966, 'support': 4077.0}    | {'precision': 0.9061703212646609, 'recall': 0.8779644268774703, 'f1-score': 0.8918444165621079, 'support': 2024.0} | {'precision': 0.8959500040581122, 'recall': 0.902468933943754, 'f1-score': 0.8991976540544944, 'support': 12232.0}  | {'precision': 0.9990120204182447, 'recall': 1.0, 'f1-score': 0.999505766062603, 'support': 12134.0}                 | 0.9027   | {'precision': 0.8452820895260821, 'recall': 0.8370356624465204, 'f1-score': 0.8409092112923745, 'support': 31600.0} | {'precision': 0.9024752473147027, 'recall': 0.9026582278481012, 'f1-score': 0.90253659522208, 'support': 31600.0}   |
+| 0.0107        | 19.0  | 1539 | 0.6109          | {'precision': 0.6518987341772152, 'recall': 0.7253521126760564, 'f1-score': 0.6866666666666666, 'support': 284.0}  | {'precision': 0.9312977099236641, 'recall': 0.8652482269503546, 'f1-score': 0.8970588235294118, 'support': 141.0} | {'precision': 0.8979591836734694, 'recall': 0.8700564971751412, 'f1-score': 0.8837876614060258, 'support': 708.0} | {'precision': 0.6646036657938587, 'recall': 0.6848172675987245, 'f1-score': 0.6745590722396715, 'support': 4077.0}  | {'precision': 0.9255765199161425, 'recall': 0.8725296442687747, 'f1-score': 0.8982706002034587, 'support': 2024.0} | {'precision': 0.9054208974778906, 'recall': 0.9039404839764552, 'f1-score': 0.9046800850924562, 'support': 12232.0} | {'precision': 0.9990120204182447, 'recall': 1.0, 'f1-score': 0.999505766062603, 'support': 12134.0}                 | 0.9080   | {'precision': 0.8536812473400692, 'recall': 0.8459920332350723, 'f1-score': 0.8492183821714706, 'support': 31600.0} | {'precision': 0.9092494814905934, 'recall': 0.9080063291139241, 'f1-score': 0.9085299712124664, 'support': 31600.0} |
+| 0.0107        | 20.0  | 1620 | 0.7311          | {'precision': 0.625, 'recall': 0.7570422535211268, 'f1-score': 0.6847133757961784, 'support': 284.0}               | {'precision': 0.952755905511811, 'recall': 0.8581560283687943, 'f1-score': 0.9029850746268657, 'support': 141.0}  | {'precision': 0.9018126888217523, 'recall': 0.8432203389830508, 'f1-score': 0.8715328467153285, 'support': 708.0} | {'precision': 0.6120813642901172, 'recall': 0.7306843267108167, 'f1-score': 0.6661449016100179, 'support': 4077.0}  | {'precision': 0.9618192026951151, 'recall': 0.8463438735177866, 'f1-score': 0.9003942181340342, 'support': 2024.0} | {'precision': 0.9107341728775807, 'recall': 0.8691137998691956, 'f1-score': 0.8894373562016316, 'support': 12232.0} | {'precision': 0.9990120204182447, 'recall': 1.0, 'f1-score': 0.999505766062603, 'support': 12134.0}                 | 0.8984   | {'precision': 0.8518879078020886, 'recall': 0.8435086601386814, 'f1-score': 0.8449590770209513, 'support': 31600.0} | {'precision': 0.906791519405767, 'recall': 0.8984177215189874, 'f1-score': 0.9014144340997553, 'support': 31600.0}  |
+| 0.0107        | 21.0  | 1701 | 0.7102          | {'precision': 0.7007299270072993, 'recall': 0.676056338028169, 'f1-score': 0.6881720430107527, 'support': 284.0}   | {'precision': 0.968503937007874, 'recall': 0.8723404255319149, 'f1-score': 0.917910447761194, 'support': 141.0}   | {'precision': 0.8770491803278688, 'recall': 0.9067796610169492, 'f1-score': 0.8916666666666667, 'support': 708.0} | {'precision': 0.6895316804407714, 'recall': 0.6139318126073093, 'f1-score': 0.6495393797846114, 'support': 4077.0}  | {'precision': 0.9697139652271453, 'recall': 0.8542490118577075, 'f1-score': 0.9083267664827948, 'support': 2024.0} | {'precision': 0.880498760842627, 'recall': 0.9294473512099412, 'f1-score': 0.9043111676741966, 'support': 12232.0}  | {'precision': 0.999341129962115, 'recall': 1.0, 'f1-score': 0.9996704564178612, 'support': 12134.0}                 | 0.9080   | {'precision': 0.8693383686879573, 'recall': 0.8361149428931416, 'f1-score': 0.8513709896854396, 'support': 31600.0} | {'precision': 0.9059083865324177, 'recall': 0.9079746835443038, 'f1-score': 0.9061495943435923, 'support': 31600.0} |
+| 0.0107        | 22.0  | 1782 | 0.7179          | {'precision': 0.646875, 'recall': 0.7288732394366197, 'f1-score': 0.685430463576159, 'support': 284.0}             | {'precision': 0.9253731343283582, 'recall': 0.8794326241134752, 'f1-score': 0.9018181818181819, 'support': 141.0} | {'precision': 0.898379970544919, 'recall': 0.8615819209039548, 'f1-score': 0.8795962509012257, 'support': 708.0}  | {'precision': 0.6480804387568556, 'recall': 0.6956095168015698, 'f1-score': 0.6710043771442092, 'support': 4077.0}  | {'precision': 0.9288702928870293, 'recall': 0.8774703557312253, 'f1-score': 0.9024390243902438, 'support': 2024.0} | {'precision': 0.9062292358803987, 'recall': 0.8920045781556573, 'f1-score': 0.8990606460118654, 'support': 12232.0} | {'precision': 0.9995881044567098, 'recall': 1.0, 'f1-score': 0.9997940098051333, 'support': 12134.0}                | 0.905    | {'precision': 0.8504851681220387, 'recall': 0.847853176448929, 'f1-score': 0.8484489933781455, 'support': 31600.0}  | {'precision': 0.9078005894135412, 'recall': 0.905, 'f1-score': 0.9061900167375152, 'support': 31600.0}              |
+| 0.0107        | 23.0  | 1863 | 0.7683          | {'precision': 0.6763636363636364, 'recall': 0.6549295774647887, 'f1-score': 0.665474060822898, 'support': 284.0}   | {'precision': 0.9523809523809523, 'recall': 0.851063829787234, 'f1-score': 0.898876404494382, 'support': 141.0}   | {'precision': 0.8702185792349727, 'recall': 0.8997175141242938, 'f1-score': 0.8847222222222222, 'support': 708.0} | {'precision': 0.672, 'recall': 0.5974981604120677, 'f1-score': 0.6325629706569723, 'support': 4077.0}               | {'precision': 0.955406911928651, 'recall': 0.8468379446640316, 'f1-score': 0.8978522786799371, 'support': 2024.0}  | {'precision': 0.8760362593941272, 'recall': 0.9243786788750817, 'f1-score': 0.8995584549902542, 'support': 12232.0} | {'precision': 0.9994234412321884, 'recall': 1.0, 'f1-score': 0.9997116374871267, 'support': 12134.0}                | 0.9030   | {'precision': 0.8574042543620756, 'recall': 0.8249179579039282, 'f1-score': 0.8398225756219704, 'support': 31600.0} | {'precision': 0.9005903446732682, 'recall': 0.9029746835443038, 'f1-score': 0.9010199941065505, 'support': 31600.0} |
+| 0.0107        | 24.0  | 1944 | 0.7163          | {'precision': 0.6567656765676567, 'recall': 0.7007042253521126, 'f1-score': 0.6780238500851788, 'support': 284.0}  | {'precision': 0.9191176470588235, 'recall': 0.8865248226950354, 'f1-score': 0.9025270758122743, 'support': 141.0} | {'precision': 0.8904899135446686, 'recall': 0.8728813559322034, 'f1-score': 0.8815977175463623, 'support': 708.0} | {'precision': 0.6578445398187888, 'recall': 0.6767230806965906, 'f1-score': 0.6671502841252569, 'support': 4077.0}  | {'precision': 0.9164086687306502, 'recall': 0.8774703557312253, 'f1-score': 0.8965169106511862, 'support': 2024.0} | {'precision': 0.9032469662184323, 'recall': 0.9005886200130805, 'f1-score': 0.9019158342885214, 'support': 12232.0} | {'precision': 0.9995881044567098, 'recall': 1.0, 'f1-score': 0.9997940098051333, 'support': 12134.0}                | 0.9059   | {'precision': 0.8490659309136758, 'recall': 0.8449846372028926, 'f1-score': 0.846789383187702, 'support': 31600.0}  | {'precision': 0.906991967841258, 'recall': 0.9059177215189873, 'f1-score': 0.9064001016033513, 'support': 31600.0}  |
+| 0.0062        | 25.0  | 2025 | 0.7400          | {'precision': 0.6701754385964912, 'recall': 0.6725352112676056, 'f1-score': 0.671353251318102, 'support': 284.0}   | {'precision': 0.9318181818181818, 'recall': 0.8723404255319149, 'f1-score': 0.9010989010989012, 'support': 141.0} | {'precision': 0.8812849162011173, 'recall': 0.8912429378531074, 'f1-score': 0.8862359550561797, 'support': 708.0} | {'precision': 0.6735165681993321, 'recall': 0.6431199411331862, 'f1-score': 0.6579673776662485, 'support': 4077.0}  | {'precision': 0.9386666666666666, 'recall': 0.8695652173913043, 'f1-score': 0.9027955886124647, 'support': 2024.0} | {'precision': 0.8910828025477707, 'recall': 0.9149771092217135, 'f1-score': 0.9028718941594063, 'support': 12232.0} | {'precision': 0.9995881044567098, 'recall': 1.0, 'f1-score': 0.9997940098051333, 'support': 12134.0}                | 0.9067   | {'precision': 0.8551618112123242, 'recall': 0.8376829774855474, 'f1-score': 0.846016711102348, 'support': 31600.0}  | {'precision': 0.9057019364238044, 'recall': 0.906740506329114, 'f1-score': 0.9060251619949156, 'support': 31600.0}  |
+| 0.0062        | 26.0  | 2106 | 0.6934          | {'precision': 0.6496815286624203, 'recall': 0.7183098591549296, 'f1-score': 0.6822742474916388, 'support': 284.0}  | {'precision': 0.9185185185185185, 'recall': 0.8794326241134752, 'f1-score': 0.8985507246376813, 'support': 141.0} | {'precision': 0.8947368421052632, 'recall': 0.864406779661017, 'f1-score': 0.8793103448275862, 'support': 708.0}  | {'precision': 0.648623425104993, 'recall': 0.6818739269070395, 'f1-score': 0.6648331938299653, 'support': 4077.0}   | {'precision': 0.9196474857439088, 'recall': 0.8764822134387352, 'f1-score': 0.8975461674677461, 'support': 2024.0} | {'precision': 0.9034015852047557, 'recall': 0.894538914323087, 'f1-score': 0.8989484061781137, 'support': 12232.0}  | {'precision': 0.999505766062603, 'recall': 1.0, 'f1-score': 0.999752821949411, 'support': 12134.0}                  | 0.9041   | {'precision': 0.8477307359146374, 'recall': 0.8450063310854691, 'f1-score': 0.8458879866260204, 'support': 31600.0} | {'precision': 0.9060667633034395, 'recall': 0.904113924050633, 'f1-score': 0.9049718127437909, 'support': 31600.0}  |
+| 0.0062        | 27.0  | 2187 | 0.7130          | {'precision': 0.6736842105263158, 'recall': 0.676056338028169, 'f1-score': 0.6748681898066784, 'support': 284.0}   | {'precision': 0.917910447761194, 'recall': 0.8723404255319149, 'f1-score': 0.8945454545454546, 'support': 141.0}  | {'precision': 0.8823529411764706, 'recall': 0.8898305084745762, 'f1-score': 0.8860759493670887, 'support': 708.0} | {'precision': 0.6686422413793104, 'recall': 0.6087809663968604, 'f1-score': 0.6373090255488509, 'support': 4077.0}  | {'precision': 0.9005102040816326, 'recall': 0.8720355731225297, 'f1-score': 0.8860441767068273, 'support': 2024.0} | {'precision': 0.8854907539118065, 'recall': 0.9160398953564421, 'f1-score': 0.9005063087679821, 'support': 12232.0} | {'precision': 0.9994234412321884, 'recall': 1.0, 'f1-score': 0.9997116374871267, 'support': 12134.0}                | 0.9029   | {'precision': 0.8468591771527026, 'recall': 0.833583386701499, 'f1-score': 0.8398658203185727, 'support': 31600.0}  | {'precision': 0.9003946702595572, 'recall': 0.902879746835443, 'f1-score': 0.9013383460786057, 'support': 31600.0}  |
+| 0.0062        | 28.0  | 2268 | 0.7653          | {'precision': 0.712, 'recall': 0.6267605633802817, 'f1-score': 0.6666666666666667, 'support': 284.0}               | {'precision': 0.9064748201438849, 'recall': 0.8936170212765957, 'f1-score': 0.9, 'support': 141.0}                | {'precision': 0.8709677419354839, 'recall': 0.9152542372881356, 'f1-score': 0.8925619834710744, 'support': 708.0} | {'precision': 0.6963208685162847, 'recall': 0.5663478047584007, 'f1-score': 0.624644934397403, 'support': 4077.0}   | {'precision': 0.91353001017294, 'recall': 0.8873517786561265, 'f1-score': 0.900250626566416, 'support': 2024.0}    | {'precision': 0.8743483593989574, 'recall': 0.9323904512753434, 'f1-score': 0.9024370944769742, 'support': 12232.0} | {'precision': 0.9994234412321884, 'recall': 1.0, 'f1-score': 0.9997116374871267, 'support': 12134.0}                | 0.9049   | {'precision': 0.853295034485677, 'recall': 0.8316745509478406, 'f1-score': 0.8408961347236659, 'support': 31600.0}  | {'precision': 0.900524816472815, 'recall': 0.9049367088607595, 'f1-score': 0.9014577035522353, 'support': 31600.0}  |
+| 0.0062        | 29.0  | 2349 | 0.7867          | {'precision': 0.6575342465753424, 'recall': 0.676056338028169, 'f1-score': 0.6666666666666666, 'support': 284.0}   | {'precision': 0.9166666666666666, 'recall': 0.8581560283687943, 'f1-score': 0.8864468864468864, 'support': 141.0} | {'precision': 0.8815232722143864, 'recall': 0.882768361581921, 'f1-score': 0.8821453775582216, 'support': 708.0}  | {'precision': 0.6606498194945848, 'recall': 0.6284032376747608, 'f1-score': 0.6441231929604022, 'support': 4077.0}  | {'precision': 0.9288008565310493, 'recall': 0.8572134387351779, 'f1-score': 0.8915724563206577, 'support': 2024.0} | {'precision': 0.8869814020028612, 'recall': 0.9123610202746893, 'f1-score': 0.8994922221326671, 'support': 12232.0} | {'precision': 0.9995881044567098, 'recall': 1.0, 'f1-score': 0.9997940098051333, 'support': 12134.0}                | 0.9028   | {'precision': 0.8473920525630857, 'recall': 0.8307083463805017, 'f1-score': 0.8386058302700906, 'support': 31600.0} | {'precision': 0.9016464879503215, 'recall': 0.9028164556962025, 'f1-score': 0.9020127707920382, 'support': 31600.0} |
+| 0.0062        | 30.0  | 2430 | 0.7559          | {'precision': 0.6890459363957597, 'recall': 0.6866197183098591, 'f1-score': 0.6878306878306879, 'support': 284.0}  | {'precision': 0.8992805755395683, 'recall': 0.8865248226950354, 'f1-score': 0.8928571428571428, 'support': 141.0} | {'precision': 0.8874824191279888, 'recall': 0.8912429378531074, 'f1-score': 0.8893587033121918, 'support': 708.0} | {'precision': 0.6928721174004193, 'recall': 0.6485160657346087, 'f1-score': 0.6699607246927657, 'support': 4077.0}  | {'precision': 0.9148051948051948, 'recall': 0.8700592885375494, 'f1-score': 0.8918713598379336, 'support': 2024.0} | {'precision': 0.8948121077301978, 'recall': 0.9207815565729235, 'f1-score': 0.9076111043958258, 'support': 12232.0} | {'precision': 0.9995881044567098, 'recall': 1.0, 'f1-score': 0.9997940098051333, 'support': 12134.0}                | 0.9099   | {'precision': 0.8539837793508341, 'recall': 0.8433920556718691, 'f1-score': 0.8484691046759544, 'support': 31600.0} | {'precision': 0.9082776663921143, 'recall': 0.9099050632911393, 'f1-score': 0.9088886007994119, 'support': 31600.0} |
+| 0.0039        | 31.0  | 2511 | 0.7869          | {'precision': 0.6836363636363636, 'recall': 0.6619718309859155, 'f1-score': 0.6726296958855098, 'support': 284.0}  | {'precision': 0.9590163934426229, 'recall': 0.8297872340425532, 'f1-score': 0.8897338403041826, 'support': 141.0} | {'precision': 0.873641304347826, 'recall': 0.9081920903954802, 'f1-score': 0.8905817174515235, 'support': 708.0}  | {'precision': 0.6748715174465784, 'recall': 0.6119695854795193, 'f1-score': 0.6418832004116285, 'support': 4077.0}  | {'precision': 0.9543088490456911, 'recall': 0.8152173913043478, 'f1-score': 0.8792965627498002, 'support': 2024.0} | {'precision': 0.8813362269415594, 'recall': 0.9296108567691301, 'f1-score': 0.9048301106071457, 'support': 12232.0} | {'precision': 0.9995881044567098, 'recall': 1.0, 'f1-score': 0.9997940098051333, 'support': 12134.0}                | 0.905    | {'precision': 0.8609141084739074, 'recall': 0.8223927127109923, 'f1-score': 0.8398213053164177, 'support': 31600.0} | {'precision': 0.9031769353402357, 'recall': 0.905, 'f1-score': 0.9032610012682263, 'support': 31600.0}              |
+| 0.0039        | 32.0  | 2592 | 0.7803          | {'precision': 0.6929133858267716, 'recall': 0.6197183098591549, 'f1-score': 0.6542750929368029, 'support': 284.0}  | {'precision': 0.8639455782312925, 'recall': 0.900709219858156, 'f1-score': 0.8819444444444444, 'support': 141.0}  | {'precision': 0.8756830601092896, 'recall': 0.905367231638418, 'f1-score': 0.8902777777777777, 'support': 708.0}  | {'precision': 0.6930953774136922, 'recall': 0.5810645082168261, 'f1-score': 0.6321547698465644, 'support': 4077.0}  | {'precision': 0.868968779564806, 'recall': 0.907608695652174, 'f1-score': 0.8878685355244078, 'support': 2024.0}   | {'precision': 0.8850422006877149, 'recall': 0.9258502289077829, 'f1-score': 0.9049864152149593, 'support': 12232.0} | {'precision': 0.9995881044567098, 'recall': 1.0, 'f1-score': 0.9997940098051333, 'support': 12134.0}                | 0.9053   | {'precision': 0.8398909266128968, 'recall': 0.8343311705903588, 'f1-score': 0.8359001493642986, 'support': 31600.0} | {'precision': 0.9012015271046654, 'recall': 0.9053481012658228, 'f1-score': 0.9024088676638639, 'support': 31600.0} |
+| 0.0039        | 33.0  | 2673 | 0.7934          | {'precision': 0.673469387755102, 'recall': 0.6971830985915493, 'f1-score': 0.685121107266436, 'support': 284.0}    | {'precision': 0.937007874015748, 'recall': 0.8439716312056738, 'f1-score': 0.8880597014925372, 'support': 141.0}  | {'precision': 0.8876404494382022, 'recall': 0.8926553672316384, 'f1-score': 0.8901408450704225, 'support': 708.0} | {'precision': 0.6653215636822194, 'recall': 0.6470443953887662, 'f1-score': 0.656055707535439, 'support': 4077.0}   | {'precision': 0.9345074298293891, 'recall': 0.8389328063241107, 'f1-score': 0.8841447539703202, 'support': 2024.0} | {'precision': 0.8926436598390053, 'recall': 0.9156311314584696, 'f1-score': 0.9039912829412001, 'support': 12232.0} | {'precision': 0.9996704564178612, 'recall': 1.0, 'f1-score': 0.9998352010547131, 'support': 12134.0}                | 0.9057   | {'precision': 0.8557515458539324, 'recall': 0.8336312043143155, 'f1-score': 0.8439069427615812, 'support': 31600.0} | {'precision': 0.9052091921833244, 'recall': 0.9056645569620253, 'f1-score': 0.9051860865467258, 'support': 31600.0} |
+| 0.0039        | 34.0  | 2754 | 0.7745          | {'precision': 0.6580645161290323, 'recall': 0.7183098591549296, 'f1-score': 0.6868686868686869, 'support': 284.0}  | {'precision': 0.8985507246376812, 'recall': 0.8794326241134752, 'f1-score': 0.888888888888889, 'support': 141.0}  | {'precision': 0.8992700729927007, 'recall': 0.8700564971751412, 'f1-score': 0.8844221105527639, 'support': 708.0} | {'precision': 0.6809348093480935, 'recall': 0.6789305862153544, 'f1-score': 0.6799312208302628, 'support': 4077.0}  | {'precision': 0.8945253641386238, 'recall': 0.8799407114624506, 'f1-score': 0.887173100871731, 'support': 2024.0}  | {'precision': 0.9059494702526487, 'recall': 0.9087638979725311, 'f1-score': 0.9073545016733328, 'support': 12232.0} | {'precision': 0.9994234412321884, 'recall': 1.0, 'f1-score': 0.9997116374871267, 'support': 12134.0}                | 0.9096   | {'precision': 0.8481026283901384, 'recall': 0.8479191680134118, 'f1-score': 0.8477643067389703, 'support': 31600.0} | {'precision': 0.9096689144684782, 'recall': 0.9095886075949368, 'f1-score': 0.9096061427817015, 'support': 31600.0} |
+| 0.0039        | 35.0  | 2835 | 0.7864          | {'precision': 0.6601307189542484, 'recall': 0.7112676056338029, 'f1-score': 0.6847457627118645, 'support': 284.0}  | {'precision': 0.9172932330827067, 'recall': 0.8652482269503546, 'f1-score': 0.8905109489051095, 'support': 141.0} | {'precision': 0.8948126801152738, 'recall': 0.8771186440677966, 'f1-score': 0.8858773181169758, 'support': 708.0} | {'precision': 0.6476719944405838, 'recall': 0.6857983811626196, 'f1-score': 0.6661901358112937, 'support': 4077.0}  | {'precision': 0.9168421052631579, 'recall': 0.8606719367588933, 'f1-score': 0.8878695208970439, 'support': 2024.0} | {'precision': 0.9052848885218827, 'recall': 0.8962557226945717, 'f1-score': 0.9007476789088816, 'support': 12232.0} | {'precision': 0.999505766062603, 'recall': 1.0, 'f1-score': 0.999752821949411, 'support': 12134.0}                  | 0.9044   | {'precision': 0.8487916266343509, 'recall': 0.842337216752577, 'f1-score': 0.8450991696143685, 'support': 31600.0}  | {'precision': 0.9065834718911224, 'recall': 0.9044303797468355, 'f1-score': 0.9053570387841287, 'support': 31600.0} |
+| 0.0039        | 36.0  | 2916 | 0.8269          | {'precision': 0.6377245508982036, 'recall': 0.75, 'f1-score': 0.6893203883495146, 'support': 284.0}                | {'precision': 0.9473684210526315, 'recall': 0.8936170212765957, 'f1-score': 0.9197080291970802, 'support': 141.0} | {'precision': 0.9009009009009009, 'recall': 0.847457627118644, 'f1-score': 0.8733624454148471, 'support': 708.0}  | {'precision': 0.6301280659865423, 'recall': 0.7120431689968114, 'f1-score': 0.6685859051128513, 'support': 4077.0}  | {'precision': 0.9289002557544757, 'recall': 0.8972332015810277, 'f1-score': 0.9127921588338779, 'support': 2024.0} | {'precision': 0.9095776323616894, 'recall': 0.875, 'f1-score': 0.891953831409642, 'support': 12232.0}               | {'precision': 0.9996704564178612, 'recall': 1.0, 'f1-score': 0.9998352010547131, 'support': 12134.0}                | 0.9017   | {'precision': 0.8506100404817578, 'recall': 0.8536215741390113, 'f1-score': 0.8507939941960753, 'support': 31600.0} | {'precision': 0.9068864467581662, 'recall': 0.901740506329114, 'f1-score': 0.9037810789173183, 'support': 31600.0}  |
+| 0.0039        | 37.0  | 2997 | 0.8241          | {'precision': 0.7007299270072993, 'recall': 0.676056338028169, 'f1-score': 0.6881720430107527, 'support': 284.0}   | {'precision': 0.9609375, 'recall': 0.8723404255319149, 'f1-score': 0.9144981412639406, 'support': 141.0}          | {'precision': 0.8782489740082079, 'recall': 0.9067796610169492, 'f1-score': 0.8922863099374566, 'support': 708.0} | {'precision': 0.6927312775330396, 'recall': 0.6171204316899681, 'f1-score': 0.6527435465040861, 'support': 4077.0}  | {'precision': 0.9682539682539683, 'recall': 0.8740118577075099, 'f1-score': 0.9187224097636978, 'support': 2024.0} | {'precision': 0.881268952647539, 'recall': 0.9265860039241334, 'f1-score': 0.9033595026501414, 'support': 12232.0}  | {'precision': 0.998929776899646, 'recall': 1.0, 'f1-score': 0.9994646019521437, 'support': 12134.0}                 | 0.9085   | {'precision': 0.8687286251928145, 'recall': 0.8389849596998064, 'f1-score': 0.8527495078688884, 'support': 31600.0} | {'precision': 0.9063609795032002, 'recall': 0.9085443037974683, 'f1-score': 0.9067800733712568, 'support': 31600.0} |
+| 0.0009        | 38.0  | 3078 | 0.8295          | {'precision': 0.7052238805970149, 'recall': 0.6654929577464789, 'f1-score': 0.6847826086956522, 'support': 284.0}  | {'precision': 0.9333333333333333, 'recall': 0.8936170212765957, 'f1-score': 0.9130434782608695, 'support': 141.0} | {'precision': 0.8794520547945206, 'recall': 0.9067796610169492, 'f1-score': 0.8929068150208623, 'support': 708.0} | {'precision': 0.6934604904632152, 'recall': 0.6242335050282071, 'f1-score': 0.6570285271718084, 'support': 4077.0}  | {'precision': 0.9419989642672191, 'recall': 0.8987154150197628, 'f1-score': 0.9198482932996207, 'support': 2024.0} | {'precision': 0.8874833032136403, 'recall': 0.9233976455199476, 'f1-score': 0.9050843383148364, 'support': 12232.0} | {'precision': 0.9995881044567098, 'recall': 1.0, 'f1-score': 0.9997940098051333, 'support': 12134.0}                | 0.9098   | {'precision': 0.862934304446522, 'recall': 0.8446051722297058, 'f1-score': 0.853212581509826, 'support': 31600.0}   | {'precision': 0.907375879258431, 'recall': 0.9098101265822784, 'f1-score': 0.9081761331803664, 'support': 31600.0}  |
+| 0.0009        | 39.0  | 3159 | 0.8067          | {'precision': 0.6633986928104575, 'recall': 0.7147887323943662, 'f1-score': 0.6881355932203389, 'support': 284.0}  | {'precision': 0.9333333333333333, 'recall': 0.8936170212765957, 'f1-score': 0.9130434782608695, 'support': 141.0} | {'precision': 0.8930635838150289, 'recall': 0.8728813559322034, 'f1-score': 0.882857142857143, 'support': 708.0}  | {'precision': 0.6602370439228445, 'recall': 0.6968359087564385, 'f1-score': 0.6780429594272076, 'support': 4077.0}  | {'precision': 0.9397217928902627, 'recall': 0.9011857707509882, 'f1-score': 0.9200504413619167, 'support': 2024.0} | {'precision': 0.9069844422376696, 'recall': 0.8960104643557881, 'f1-score': 0.9014640565882547, 'support': 12232.0} | {'precision': 0.9995881044567098, 'recall': 1.0, 'f1-score': 0.9997940098051333, 'support': 12134.0}                | 0.9084   | {'precision': 0.8566181419237582, 'recall': 0.8536170362094829, 'f1-score': 0.8547696687886948, 'support': 31600.0} | {'precision': 0.9104213082250453, 'recall': 0.9084177215189874, 'f1-score': 0.909303942725205, 'support': 31600.0}  |
+| 0.0009        | 40.0  | 3240 | 0.8191          | {'precision': 0.6611842105263158, 'recall': 0.7077464788732394, 'f1-score': 0.6836734693877551, 'support': 284.0}  | {'precision': 0.9323308270676691, 'recall': 0.8794326241134752, 'f1-score': 0.9051094890510948, 'support': 141.0} | {'precision': 0.8922413793103449, 'recall': 0.8771186440677966, 'f1-score': 0.8846153846153846, 'support': 708.0} | {'precision': 0.6631729394949977, 'recall': 0.6828550404709345, 'f1-score': 0.672870090634441, 'support': 4077.0}   | {'precision': 0.9453668987680771, 'recall': 0.8720355731225297, 'f1-score': 0.9072217938833205, 'support': 2024.0} | {'precision': 0.9026996166707446, 'recall': 0.9048397645519948, 'f1-score': 0.9037684236312415, 'support': 12232.0} | {'precision': 0.9994234412321884, 'recall': 1.0, 'f1-score': 0.9997116374871267, 'support': 12134.0}                | 0.9081   | {'precision': 0.8566313304386197, 'recall': 0.8462897321714243, 'f1-score': 0.8509957555271949, 'support': 31600.0} | {'precision': 0.9093970342852328, 'recall': 0.908132911392405, 'f1-score': 0.9086391149693867, 'support': 31600.0}  |
+| 0.0009        | 41.0  | 3321 | 0.8454          | {'precision': 0.6783216783216783, 'recall': 0.6830985915492958, 'f1-score': 0.6807017543859649, 'support': 284.0}  | {'precision': 0.9603174603174603, 'recall': 0.8581560283687943, 'f1-score': 0.906367041198502, 'support': 141.0}  | {'precision': 0.8807212205270458, 'recall': 0.8968926553672316, 'f1-score': 0.8887333799860042, 'support': 708.0} | {'precision': 0.6684587813620072, 'recall': 0.6404218788324748, 'f1-score': 0.6541400476011524, 'support': 4077.0}  | {'precision': 0.9708029197080292, 'recall': 0.8542490118577075, 'f1-score': 0.9088042049934297, 'support': 2024.0} | {'precision': 0.8879835456055691, 'recall': 0.9176749509483323, 'f1-score': 0.9025851324729627, 'support': 12232.0} | {'precision': 0.9995881044567098, 'recall': 1.0, 'f1-score': 0.9997940098051333, 'support': 12134.0}                | 0.9066   | {'precision': 0.8637419586140714, 'recall': 0.8357847309891194, 'f1-score': 0.8487322243490213, 'support': 31600.0} | {'precision': 0.9060957940857044, 'recall': 0.9066139240506329, 'f1-score': 0.9059686969761411, 'support': 31600.0} |
+| 0.0009        | 42.0  | 3402 | 0.8325          | {'precision': 0.6736111111111112, 'recall': 0.6830985915492958, 'f1-score': 0.6783216783216783, 'support': 284.0}  | {'precision': 0.9538461538461539, 'recall': 0.8794326241134752, 'f1-score': 0.915129151291513, 'support': 141.0}  | {'precision': 0.8811188811188811, 'recall': 0.8898305084745762, 'f1-score': 0.8854532677442023, 'support': 708.0} | {'precision': 0.6721228909594561, 'recall': 0.6546480255089526, 'f1-score': 0.6632703777335984, 'support': 4077.0}  | {'precision': 0.9587404994571118, 'recall': 0.8725296442687747, 'f1-score': 0.9136057941024315, 'support': 2024.0} | {'precision': 0.8926002876778009, 'recall': 0.9131785480706344, 'f1-score': 0.902772165198416, 'support': 12232.0}  | {'precision': 0.999505766062603, 'recall': 1.0, 'f1-score': 0.999752821949411, 'support': 12134.0}                  | 0.9078   | {'precision': 0.8616493700333026, 'recall': 0.8418168488551013, 'f1-score': 0.8511864651916071, 'support': 31600.0} | {'precision': 0.9074890985032094, 'recall': 0.9078164556962025, 'f1-score': 0.9074550254450232, 'support': 31600.0} |
+| 0.0009        | 43.0  | 3483 | 0.8308          | {'precision': 0.6577181208053692, 'recall': 0.6901408450704225, 'f1-score': 0.6735395189003436, 'support': 284.0}  | {'precision': 0.9064748201438849, 'recall': 0.8936170212765957, 'f1-score': 0.9, 'support': 141.0}                | {'precision': 0.889367816091954, 'recall': 0.8742937853107344, 'f1-score': 0.8817663817663818, 'support': 708.0}  | {'precision': 0.6628445962429861, 'recall': 0.6664213882756929, 'f1-score': 0.6646281800391389, 'support': 4077.0}  | {'precision': 0.91600790513834, 'recall': 0.91600790513834, 'f1-score': 0.91600790513834, 'support': 2024.0}       | {'precision': 0.9002048340843917, 'recall': 0.8982177894048398, 'f1-score': 0.8992102140197242, 'support': 12232.0} | {'precision': 0.9995881044567098, 'recall': 1.0, 'f1-score': 0.9997940098051333, 'support': 12134.0}                | 0.9061   | {'precision': 0.8474580281376622, 'recall': 0.8483855334966608, 'f1-score': 0.8478494585241517, 'support': 31600.0} | {'precision': 0.9063608328678091, 'recall': 0.9061075949367089, 'f1-score': 0.906227998877931, 'support': 31600.0}  |
+| 0.0008        | 44.0  | 3564 | 0.8276          | {'precision': 0.7007299270072993, 'recall': 0.676056338028169, 'f1-score': 0.6881720430107527, 'support': 284.0}   | {'precision': 0.9398496240601504, 'recall': 0.8865248226950354, 'f1-score': 0.9124087591240877, 'support': 141.0} | {'precision': 0.8801652892561983, 'recall': 0.902542372881356, 'f1-score': 0.8912133891213389, 'support': 708.0}  | {'precision': 0.7001887301159342, 'recall': 0.6369879813588423, 'f1-score': 0.6670947855124583, 'support': 4077.0}  | {'precision': 0.9422268907563025, 'recall': 0.8863636363636364, 'f1-score': 0.9134419551934826, 'support': 2024.0} | {'precision': 0.8898325076669026, 'recall': 0.9251144538914323, 'f1-score': 0.9071305463144815, 'support': 12232.0} | {'precision': 0.9997528219494108, 'recall': 1.0, 'f1-score': 0.9998763956985703, 'support': 12134.0}                | 0.9113   | {'precision': 0.8646779701160282, 'recall': 0.8447985150312102, 'f1-score': 0.8541911248535959, 'support': 31600.0} | {'precision': 0.9092358156944642, 'recall': 0.9112974683544304, 'f1-score': 0.9098779291303972, 'support': 31600.0} |
+| 0.0008        | 45.0  | 3645 | 0.8216          | {'precision': 0.6827586206896552, 'recall': 0.6971830985915493, 'f1-score': 0.6898954703832753, 'support': 284.0}  | {'precision': 0.968, 'recall': 0.8581560283687943, 'f1-score': 0.9097744360902256, 'support': 141.0}              | {'precision': 0.883008356545961, 'recall': 0.8954802259887006, 'f1-score': 0.8892005610098177, 'support': 708.0}  | {'precision': 0.6714250553777996, 'recall': 0.6691194505764042, 'f1-score': 0.6702702702702702, 'support': 4077.0}  | {'precision': 0.9788087056128293, 'recall': 0.8443675889328063, 'f1-score': 0.906631299734748, 'support': 2024.0}  | {'precision': 0.89417778132737, 'recall': 0.9153041203400916, 'f1-score': 0.9046176221064114, 'support': 12232.0}   | {'precision': 0.9997528219494108, 'recall': 1.0, 'f1-score': 0.9998763956985703, 'support': 12134.0}                | 0.9089   | {'precision': 0.8682759059290036, 'recall': 0.8399443589711922, 'f1-score': 0.8528951507561883, 'support': 31600.0} | {'precision': 0.90957764235369, 'recall': 0.9088607594936708, 'f1-score': 0.9088373129063172, 'support': 31600.0}   |
+| 0.0008        | 46.0  | 3726 | 0.8219          | {'precision': 0.6779661016949152, 'recall': 0.704225352112676, 'f1-score': 0.690846286701209, 'support': 284.0}    | {'precision': 0.9538461538461539, 'recall': 0.8794326241134752, 'f1-score': 0.915129151291513, 'support': 141.0}  | {'precision': 0.8884180790960452, 'recall': 0.8884180790960452, 'f1-score': 0.8884180790960452, 'support': 708.0} | {'precision': 0.670194437607679, 'recall': 0.6678930586215355, 'f1-score': 0.6690417690417692, 'support': 4077.0}   | {'precision': 0.9608908202064096, 'recall': 0.8740118577075099, 'f1-score': 0.9153945666235447, 'support': 2024.0} | {'precision': 0.8958383643242372, 'recall': 0.9098266841072596, 'f1-score': 0.9027783411072804, 'support': 12232.0} | {'precision': 0.999505766062603, 'recall': 1.0, 'f1-score': 0.999752821949411, 'support': 12134.0}                  | 0.9085   | {'precision': 0.8638085318340061, 'recall': 0.8462582365369287, 'f1-score': 0.8544801451158246, 'support': 31600.0} | {'precision': 0.9088341221713809, 'recall': 0.9084810126582279, 'f1-score': 0.9084955968652848, 'support': 31600.0} |
+| 0.0008        | 47.0  | 3807 | 0.8161          | {'precision': 0.6928571428571428, 'recall': 0.6830985915492958, 'f1-score': 0.6879432624113475, 'support': 284.0}  | {'precision': 0.9461538461538461, 'recall': 0.8723404255319149, 'f1-score': 0.9077490774907749, 'support': 141.0} | {'precision': 0.8824343015214384, 'recall': 0.9011299435028248, 'f1-score': 0.8916841369671559, 'support': 708.0} | {'precision': 0.6951885565669701, 'recall': 0.6556291390728477, 'f1-score': 0.6748295884877556, 'support': 4077.0}  | {'precision': 0.974669603524229, 'recall': 0.8745059288537549, 'f1-score': 0.921875, 'support': 2024.0}            | {'precision': 0.8908976079576854, 'recall': 0.9225801177240026, 'f1-score': 0.9064621069119243, 'support': 12232.0} | {'precision': 0.9995881044567098, 'recall': 1.0, 'f1-score': 0.9997940098051333, 'support': 12134.0}                | 0.9119   | {'precision': 0.868827023291146, 'recall': 0.8441834494620916, 'f1-score': 0.8557624545820132, 'support': 31600.0}  | {'precision': 0.9110259249692721, 'recall': 0.9119303797468354, 'f1-score': 0.9111133264053953, 'support': 31600.0} |
+| 0.0008        | 48.0  | 3888 | 0.8136          | {'precision': 0.6866197183098591, 'recall': 0.6866197183098591, 'f1-score': 0.6866197183098591, 'support': 284.0}  | {'precision': 0.9253731343283582, 'recall': 0.8794326241134752, 'f1-score': 0.9018181818181819, 'support': 141.0} | {'precision': 0.8867132867132868, 'recall': 0.8954802259887006, 'f1-score': 0.8910751932536893, 'support': 708.0} | {'precision': 0.6768637532133676, 'recall': 0.6458180034338975, 'f1-score': 0.6609765281787372, 'support': 4077.0}  | {'precision': 0.9365495542737283, 'recall': 0.8824110671936759, 'f1-score': 0.9086746374968201, 'support': 2024.0} | {'precision': 0.8925151611873604, 'recall': 0.914404839764552, 'f1-score': 0.9033274107575513, 'support': 12232.0}  | {'precision': 0.9996704564178612, 'recall': 1.0, 'f1-score': 0.9998352010547131, 'support': 12134.0}                | 0.9079   | {'precision': 0.8577578663491173, 'recall': 0.84345235411488, 'f1-score': 0.8503324101242218, 'support': 31600.0}   | {'precision': 0.9068249116598845, 'recall': 0.9079430379746836, 'f1-score': 0.9072309363962819, 'support': 31600.0} |
+| 0.0008        | 49.0  | 3969 | 0.8144          | {'precision': 0.6942446043165468, 'recall': 0.6795774647887324, 'f1-score': 0.6868327402135231, 'support': 284.0}  | {'precision': 0.9253731343283582, 'recall': 0.8794326241134752, 'f1-score': 0.9018181818181819, 'support': 141.0} | {'precision': 0.8848821081830791, 'recall': 0.9011299435028248, 'f1-score': 0.8929321203638908, 'support': 708.0} | {'precision': 0.6846799580272823, 'recall': 0.6401766004415012, 'f1-score': 0.6616808213968818, 'support': 4077.0}  | {'precision': 0.9341004184100419, 'recall': 0.8824110671936759, 'f1-score': 0.907520325203252, 'support': 2024.0}  | {'precision': 0.8917096390321301, 'recall': 0.9189012426422498, 'f1-score': 0.9051012602166123, 'support': 12232.0} | {'precision': 0.9996704564178612, 'recall': 1.0, 'f1-score': 0.9998352010547131, 'support': 12134.0}                | 0.9090   | {'precision': 0.8592371883879, 'recall': 0.843089848954637, 'f1-score': 0.8508172357524364, 'support': 31600.0}     | {'precision': 0.9073921731238708, 'recall': 0.9090189873417721, 'f1-score': 0.9079780251483734, 'support': 31600.0} |
+| 0.0004        | 50.0  | 4050 | 0.8144          | {'precision': 0.6953405017921147, 'recall': 0.6830985915492958, 'f1-score': 0.6891651865008882, 'support': 284.0}  | {'precision': 0.9323308270676691, 'recall': 0.8794326241134752, 'f1-score': 0.9051094890510948, 'support': 141.0} | {'precision': 0.8848821081830791, 'recall': 0.9011299435028248, 'f1-score': 0.8929321203638908, 'support': 708.0} | {'precision': 0.6836601307189543, 'recall': 0.6414029923963699, 'f1-score': 0.6618577575297392, 'support': 4077.0}  | {'precision': 0.9350785340314136, 'recall': 0.8824110671936759, 'f1-score': 0.9079816980172852, 'support': 2024.0} | {'precision': 0.8918532634587899, 'recall': 0.9182472204054938, 'f1-score': 0.9048578103601064, 'support': 12232.0} | {'precision': 0.9996704564178612, 'recall': 1.0, 'f1-score': 0.9998352010547131, 'support': 12134.0}                | 0.9090   | {'precision': 0.8604022602385546, 'recall': 0.8436746341658764, 'f1-score': 0.8516770375539596, 'support': 31600.0} | {'precision': 0.9074197349475357, 'recall': 0.9089556962025317, 'f1-score': 0.907971816211979, 'support': 31600.0}  |
+### Framework versions
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2