trainer: training complete at 2024-03-04 08:10:47.508050.

README.md

@@ -17,12 +17,12 @@ model-index:
       name: essays_su_g
       type: essays_su_g
       config: simple
-      split: train[80%:100%]
+      split: train[0%:20%]
       args: simple
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8449255946993012
+      value: 0.8424353991954728
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,14 +32,14 @@ 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: 0.6609
-- Claim: {'precision': 0.6078710289236605, 'recall': 0.6151631477927063, 'f1-score': 0.6114953493918436, 'support': 4168.0}
-- Majorclaim: {'precision': 0.782967032967033, 'recall': 0.7946096654275093, 'f1-score': 0.7887453874538746, 'support': 2152.0}
-- O: {'precision': 0.934072084172823, 'recall': 0.9045089963147627, 'f1-score': 0.9190528634361235, 'support': 9226.0}
-- Premise: {'precision': 0.8725067166001791, 'recall': 0.8876832601673155, 'f1-score': 0.8800295615043522, 'support': 12073.0}
-- Accuracy: 0.8449
-- Macro avg: {'precision': 0.7993542156659239, 'recall': 0.8004912674255735, 'f1-score': 0.7998307904465485, 'support': 27619.0}
-- Weighted avg: {'precision': 0.8461593157460915, 'recall': 0.8449255946993012, 'f1-score': 0.8454278324403368, 'support': 27619.0}
+- Loss: 1.2704
+- Claim: {'precision': 0.5972354623450906, 'recall': 0.5879868606288128, 'f1-score': 0.5925750768503193, 'support': 4262.0}
+- Majorclaim: {'precision': 0.8091328886608518, 'recall': 0.7284064665127021, 'f1-score': 0.7666504618376278, 'support': 2165.0}
+- O: {'precision': 0.9211161229413616, 'recall': 0.8898459667612485, 'f1-score': 0.9052110715942477, 'support': 9868.0}
+- Premise: {'precision': 0.8676039835969537, 'recall': 0.9086586394662167, 'f1-score': 0.8876568645813823, 'support': 13039.0}
+- Accuracy: 0.8424
+- Macro avg: {'precision': 0.7987721143860643, 'recall': 0.7787244833422451, 'f1-score': 0.7880233687158943, 'support': 29334.0}
+- Weighted avg: {'precision': 0.8420076528182845, 'recall': 0.8424353991954728, 'f1-score': 0.8417581625139158, 'support': 29334.0}
 
 ## Model description
 
@@ -64,33 +64,67 @@ 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
+- num_epochs: 50
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Claim                                                                                                                 | Majorclaim                                                                                                         | O                                                                                                                  | Premise                                                                                                             | Accuracy | Macro avg                                                                                                           | Weighted avg                                                                                                        |
-|:-------------:|:-----:|:----:|:---------------:|:---------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:--------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|
-| No log        | 1.0   | 41   | 0.5690          | {'precision': 0.49395770392749244, 'recall': 0.23536468330134358, 'f1-score': 0.31881702957426067, 'support': 4168.0} | {'precision': 0.5330313325783315, 'recall': 0.6561338289962825, 'f1-score': 0.5882107894188711, 'support': 2152.0} | {'precision': 0.9200096957944491, 'recall': 0.82278343810969, 'f1-score': 0.8686845568461407, 'support': 9226.0}   | {'precision': 0.777574153261386, 'recall': 0.9488942267870455, 'f1-score': 0.8547340147728121, 'support': 12073.0}  | 0.7763   | {'precision': 0.6811432213904147, 'recall': 0.6657940442985903, 'f1-score': 0.6576115976530211, 'support': 27619.0} | {'precision': 0.7632992267425562, 'recall': 0.7762772004779318, 'f1-score': 0.7577517824653167, 'support': 27619.0} |
-| No log        | 2.0   | 82   | 0.4430          | {'precision': 0.6068347710683477, 'recall': 0.43881957773512476, 'f1-score': 0.5093288777499304, 'support': 4168.0}   | {'precision': 0.6947840260798696, 'recall': 0.7922862453531598, 'f1-score': 0.7403386886669561, 'support': 2152.0} | {'precision': 0.930324074074074, 'recall': 0.8712334706264904, 'f1-score': 0.8998096943915818, 'support': 9226.0}  | {'precision': 0.8270298275479239, 'recall': 0.9255363207156465, 'f1-score': 0.8735146966854284, 'support': 12073.0} | 0.8236   | {'precision': 0.7647431746925538, 'recall': 0.7569689036076054, 'f1-score': 0.7557479893734742, 'support': 27619.0} | {'precision': 0.8180007808150275, 'recall': 0.823563488902567, 'f1-score': 0.8169621924766614, 'support': 27619.0}  |
-| No log        | 3.0   | 123  | 0.4280          | {'precision': 0.5555102040816327, 'recall': 0.6530710172744721, 'f1-score': 0.6003528892809882, 'support': 4168.0}    | {'precision': 0.7618816682832201, 'recall': 0.7300185873605948, 'f1-score': 0.7456098718557191, 'support': 2152.0} | {'precision': 0.9472815190470575, 'recall': 0.8705831346195534, 'f1-score': 0.9073143179892686, 'support': 9226.0} | {'precision': 0.8730497618656594, 'recall': 0.8806427565642343, 'f1-score': 0.8768298214506619, 'support': 12073.0} | 0.8312   | {'precision': 0.7844307883193924, 'recall': 0.7835788739547136, 'f1-score': 0.7825267251441594, 'support': 27619.0} | {'precision': 0.8412645262496828, 'recall': 0.8312031572468228, 'f1-score': 0.8350654121763821, 'support': 27619.0} |
-| No log        | 4.0   | 164  | 0.4198          | {'precision': 0.6521200866604766, 'recall': 0.5055182341650671, 'f1-score': 0.5695364238410595, 'support': 4168.0}    | {'precision': 0.7789709172259508, 'recall': 0.8090148698884758, 'f1-score': 0.7937086847503988, 'support': 2152.0} | {'precision': 0.91675722668985, 'recall': 0.9143724257533059, 'f1-score': 0.9155632732797916, 'support': 9226.0}   | {'precision': 0.85398810902633, 'recall': 0.9160937629421022, 'f1-score': 0.8839514066496164, 'support': 12073.0}   | 0.8452   | {'precision': 0.8004590849006519, 'recall': 0.7862498231872379, 'f1-score': 0.7906899471302166, 'support': 27619.0} | {'precision': 0.8386466761572305, 'recall': 0.8452152503711213, 'f1-score': 0.8400311740436862, 'support': 27619.0} |
-| No log        | 5.0   | 205  | 0.4471          | {'precision': 0.5814893617021276, 'recall': 0.6557101727447217, 'f1-score': 0.6163734776725303, 'support': 4168.0}    | {'precision': 0.7235804416403786, 'recall': 0.8526951672862454, 'f1-score': 0.7828498293515358, 'support': 2152.0} | {'precision': 0.9300457436126297, 'recall': 0.9035334923043572, 'f1-score': 0.9165979438121942, 'support': 9226.0} | {'precision': 0.9016637478108581, 'recall': 0.8528948894226787, 'f1-score': 0.8766015408845188, 'support': 12073.0} | 0.8400   | {'precision': 0.7841948236914985, 'recall': 0.8162084304395008, 'f1-score': 0.7981056979301948, 'support': 27619.0} | {'precision': 0.8489511288560475, 'recall': 0.8400376552373366, 'f1-score': 0.843386093646175, 'support': 27619.0}  |
-| No log        | 6.0   | 246  | 0.4595          | {'precision': 0.5807517554729451, 'recall': 0.6746641074856046, 'f1-score': 0.6241953385127637, 'support': 4168.0}    | {'precision': 0.7883110906580764, 'recall': 0.796003717472119, 'f1-score': 0.7921387283236995, 'support': 2152.0}  | {'precision': 0.9110802732707088, 'recall': 0.925102969867765, 'f1-score': 0.9180380767989674, 'support': 9226.0}  | {'precision': 0.9042363830544677, 'recall': 0.8415472542035948, 'f1-score': 0.8717662705392766, 'support': 12073.0} | 0.8407   | {'precision': 0.7960948756140495, 'recall': 0.8093295122572709, 'f1-score': 0.8015346035436768, 'support': 27619.0} | {'precision': 0.8486726976979458, 'recall': 0.8407255874579094, 'f1-score': 0.8436577064716956, 'support': 27619.0} |
-| No log        | 7.0   | 287  | 0.5069          | {'precision': 0.6110236220472441, 'recall': 0.5585412667946257, 'f1-score': 0.5836049135121585, 'support': 4168.0}    | {'precision': 0.8053691275167785, 'recall': 0.7806691449814126, 'f1-score': 0.7928268050967437, 'support': 2152.0} | {'precision': 0.9251618566882476, 'recall': 0.9138304790808585, 'f1-score': 0.9194612574295218, 'support': 9226.0} | {'precision': 0.8609833465503569, 'recall': 0.8992793837488611, 'f1-score': 0.8797147834541992, 'support': 12073.0} | 0.8435   | {'precision': 0.8006344882006567, 'recall': 0.7880800686514394, 'f1-score': 0.7939019398731558, 'support': 27619.0} | {'precision': 0.8403669956123412, 'recall': 0.8434773163402006, 'f1-score': 0.8415357075120093, 'support': 27619.0} |
-| No log        | 8.0   | 328  | 0.5486          | {'precision': 0.5794648982391951, 'recall': 0.6079654510556622, 'f1-score': 0.5933731413183467, 'support': 4168.0}    | {'precision': 0.7641959254442999, 'recall': 0.8192379182156134, 'f1-score': 0.7907602601480151, 'support': 2152.0} | {'precision': 0.9482497964879637, 'recall': 0.8838066334272707, 'f1-score': 0.9148948106591865, 'support': 9226.0} | {'precision': 0.86709886547812, 'recall': 0.8862751594466992, 'f1-score': 0.8765821488551183, 'support': 12073.0}   | 0.8382   | {'precision': 0.7897523714123946, 'recall': 0.7993212905363115, 'f1-score': 0.7939025902451666, 'support': 27619.0} | {'precision': 0.8427820179127555, 'recall': 0.8382273072884608, 'f1-score': 0.8399540584062747, 'support': 27619.0} |
-| No log        | 9.0   | 369  | 0.5624          | {'precision': 0.5684468999386126, 'recall': 0.6665067178502879, 'f1-score': 0.6135836554389841, 'support': 4168.0}    | {'precision': 0.7784669915817457, 'recall': 0.8164498141263941, 'f1-score': 0.7970061238376048, 'support': 2152.0} | {'precision': 0.9420438957475995, 'recall': 0.893236505527856, 'f1-score': 0.9169912095248693, 'support': 9226.0}  | {'precision': 0.8849663170461328, 'recall': 0.8596040752091444, 'f1-score': 0.8721008403361344, 'support': 12073.0} | 0.8383   | {'precision': 0.7934810260785227, 'recall': 0.8089492781784205, 'f1-score': 0.7999204572843982, 'support': 27619.0} | {'precision': 0.8479685351639584, 'recall': 0.8383359281653934, 'f1-score': 0.8422320938058151, 'support': 27619.0} |
-| No log        | 10.0  | 410  | 0.5923          | {'precision': 0.6067892503536068, 'recall': 0.6175623800383877, 'f1-score': 0.612128418549346, 'support': 4168.0}     | {'precision': 0.7623089983022071, 'recall': 0.8345724907063197, 'f1-score': 0.7968056787932565, 'support': 2152.0} | {'precision': 0.9368265850062379, 'recall': 0.8952959028831563, 'f1-score': 0.9155905337249902, 'support': 9226.0} | {'precision': 0.8744673877417241, 'recall': 0.8839559347303901, 'f1-score': 0.879186060880669, 'support': 12073.0}  | 0.8437   | {'precision': 0.795098055350944, 'recall': 0.8078466770895635, 'f1-score': 0.8009276729870654, 'support': 27619.0}  | {'precision': 0.846163633922067, 'recall': 0.8436945580940657, 'f1-score': 0.8446261141401151, 'support': 27619.0}  |
-| No log        | 11.0  | 451  | 0.6036          | {'precision': 0.5938604240282686, 'recall': 0.6451535508637236, 'f1-score': 0.6184452621895125, 'support': 4168.0}    | {'precision': 0.7668161434977578, 'recall': 0.7946096654275093, 'f1-score': 0.7804655408489276, 'support': 2152.0} | {'precision': 0.9390562819783969, 'recall': 0.8951875135486668, 'f1-score': 0.9165973031463293, 'support': 9226.0} | {'precision': 0.8781700646444555, 'recall': 0.8776608962146939, 'f1-score': 0.8779154066034218, 'support': 12073.0} | 0.8420   | {'precision': 0.7944757285372197, 'recall': 0.8031529065136485, 'f1-score': 0.7983558781970478, 'support': 27619.0} | {'precision': 0.8469270804932185, 'recall': 0.841956624063145, 'f1-score': 0.8440870820617664, 'support': 27619.0}  |
-| No log        | 12.0  | 492  | 0.6292          | {'precision': 0.594930767425487, 'recall': 0.6082053742802304, 'f1-score': 0.6014948392454621, 'support': 4168.0}     | {'precision': 0.7890961262553802, 'recall': 0.766728624535316, 'f1-score': 0.7777515908555267, 'support': 2152.0}  | {'precision': 0.9292805354155047, 'recall': 0.9029915456319099, 'f1-score': 0.9159474465394976, 'support': 9226.0} | {'precision': 0.872541050235734, 'recall': 0.8890913608879317, 'f1-score': 0.8807384615384615, 'support': 12073.0}  | 0.8418   | {'precision': 0.7964621198330264, 'recall': 0.791754226333847, 'f1-score': 0.7939830845447369, 'support': 27619.0}  | {'precision': 0.8430984692266364, 'recall': 0.8418117962272349, 'f1-score': 0.8423345704559697, 'support': 27619.0} |
-| 0.2689        | 13.0  | 533  | 0.6506          | {'precision': 0.6016401590457257, 'recall': 0.5808541266794626, 'f1-score': 0.5910644531250001, 'support': 4168.0}    | {'precision': 0.7968977217644208, 'recall': 0.7639405204460966, 'f1-score': 0.7800711743772243, 'support': 2152.0} | {'precision': 0.9178990865593737, 'recall': 0.9149143724257534, 'f1-score': 0.9164042992074695, 'support': 9226.0} | {'precision': 0.8670557717250325, 'recall': 0.8859438416300837, 'f1-score': 0.8763980498996273, 'support': 12073.0} | 0.8401   | {'precision': 0.7958731847736381, 'recall': 0.786413215295349, 'f1-score': 0.7909844941523303, 'support': 27619.0}  | {'precision': 0.8385191855162285, 'recall': 0.8400738621963141, 'f1-score': 0.8391965505199718, 'support': 27619.0} |
-| 0.2689        | 14.0  | 574  | 0.6476          | {'precision': 0.6124620060790273, 'recall': 0.5801343570057581, 'f1-score': 0.5958600295712174, 'support': 4168.0}    | {'precision': 0.77728285077951, 'recall': 0.8108736059479554, 'f1-score': 0.7937229929497385, 'support': 2152.0}   | {'precision': 0.9248128577719067, 'recall': 0.9105787990461739, 'f1-score': 0.9176406335335883, 'support': 9226.0} | {'precision': 0.8699562469615946, 'recall': 0.8893398492503934, 'f1-score': 0.8795412656154004, 'support': 12073.0} | 0.8437   | {'precision': 0.7961284903980096, 'recall': 0.7977316528125702, 'f1-score': 0.7966912304174861, 'support': 27619.0} | {'precision': 0.8422013661459805, 'recall': 0.8436583511350881, 'f1-score': 0.8427709427870771, 'support': 27619.0} |
-| 0.2689        | 15.0  | 615  | 0.6652          | {'precision': 0.5992348158775705, 'recall': 0.6012476007677543, 'f1-score': 0.6002395209580837, 'support': 4168.0}    | {'precision': 0.7798372513562387, 'recall': 0.8015799256505576, 'f1-score': 0.7905591200733272, 'support': 2152.0} | {'precision': 0.9388219240391176, 'recall': 0.8948623455451984, 'f1-score': 0.916315205327414, 'support': 9226.0}  | {'precision': 0.8667846512750382, 'recall': 0.8924873685082415, 'f1-score': 0.8794482533463925, 'support': 12073.0} | 0.8422   | {'precision': 0.7961696606369912, 'recall': 0.797544310117938, 'f1-score': 0.7966405249263044, 'support': 27619.0}  | {'precision': 0.8436975503647769, 'recall': 0.842246279734965, 'f1-score': 0.842701922471951, 'support': 27619.0}   |
-| 0.2689        | 16.0  | 656  | 0.6609          | {'precision': 0.6078710289236605, 'recall': 0.6151631477927063, 'f1-score': 0.6114953493918436, 'support': 4168.0}    | {'precision': 0.782967032967033, 'recall': 0.7946096654275093, 'f1-score': 0.7887453874538746, 'support': 2152.0}  | {'precision': 0.934072084172823, 'recall': 0.9045089963147627, 'f1-score': 0.9190528634361235, 'support': 9226.0}  | {'precision': 0.8725067166001791, 'recall': 0.8876832601673155, 'f1-score': 0.8800295615043522, 'support': 12073.0} | 0.8449   | {'precision': 0.7993542156659239, 'recall': 0.8004912674255735, 'f1-score': 0.7998307904465485, 'support': 27619.0} | {'precision': 0.8461593157460915, 'recall': 0.8449255946993012, 'f1-score': 0.8454278324403368, 'support': 27619.0} |
+| Training Loss | Epoch | Step | Validation Loss | Claim                                                                                                               | Majorclaim                                                                                                         | O                                                                                                                  | Premise                                                                                                             | Accuracy | Macro avg                                                                                                           | Weighted avg                                                                                                        |
+|:-------------:|:-----:|:----:|:---------------:|:-------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:--------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|
+| No log        | 1.0   | 81   | 0.5471          | {'precision': 0.45446915652538816, 'recall': 0.5082121069920226, 'f1-score': 0.4798404962339389, 'support': 4262.0} | {'precision': 0.5914396887159533, 'recall': 0.6318706697459584, 'f1-score': 0.6109870477891916, 'support': 2165.0} | {'precision': 0.9164132026585559, 'recall': 0.8243818402918525, 'f1-score': 0.8679647906108295, 'support': 9868.0} | {'precision': 0.852593810734041, 'recall': 0.8747603343814709, 'f1-score': 0.8635348449861832, 'support': 13039.0}  | 0.7866   | {'precision': 0.7037289646584846, 'recall': 0.709806237852826, 'f1-score': 0.7055817949050358, 'support': 29334.0}  | {'precision': 0.7969438417255414, 'recall': 0.7866298493216063, 'f1-score': 0.7906379815550267, 'support': 29334.0} |
+| No log        | 2.0   | 162  | 0.5196          | {'precision': 0.5064490124949617, 'recall': 0.5896292820272173, 'f1-score': 0.5448829141370338, 'support': 4262.0}  | {'precision': 0.5564053537284895, 'recall': 0.8064665127020785, 'f1-score': 0.6584951914010938, 'support': 2165.0} | {'precision': 0.9374127501163332, 'recall': 0.8165788406972031, 'f1-score': 0.8728336221837087, 'support': 9868.0} | {'precision': 0.8852666561164741, 'recall': 0.858041260832886, 'f1-score': 0.8714413677610314, 'support': 13039.0}  | 0.8013   | {'precision': 0.7213834431140647, 'recall': 0.7676789740648462, 'f1-score': 0.7369132738707169, 'support': 29334.0} | {'precision': 0.8234977919590369, 'recall': 0.8012886070771119, 'f1-score': 0.8087468210056704, 'support': 29334.0} |
+| No log        | 3.0   | 243  | 0.5239          | {'precision': 0.5717288491854966, 'recall': 0.5105584232754575, 'f1-score': 0.5394149727317799, 'support': 4262.0}  | {'precision': 0.7751024590163934, 'recall': 0.6988452655889146, 'f1-score': 0.7350012144765606, 'support': 2165.0} | {'precision': 0.9378775789353699, 'recall': 0.8338062423996757, 'f1-score': 0.8827852583015933, 'support': 9868.0} | {'precision': 0.8284131594946971, 'recall': 0.9404862336068717, 'f1-score': 0.8808993606781121, 'support': 13039.0} | 0.8243   | {'precision': 0.7782805116579892, 'recall': 0.7459240412177299, 'f1-score': 0.7595252015470114, 'support': 29334.0} | {'precision': 0.8240083287170064, 'recall': 0.8242994477398241, 'f1-score': 0.8211507443896716, 'support': 29334.0} |
+| No log        | 4.0   | 324  | 0.4756          | {'precision': 0.5839096357768557, 'recall': 0.5943219145940872, 'f1-score': 0.5890697674418606, 'support': 4262.0}  | {'precision': 0.7539079946404645, 'recall': 0.7796766743648961, 'f1-score': 0.7665758401453224, 'support': 2165.0} | {'precision': 0.9029426948890036, 'recall': 0.8861978111066072, 'f1-score': 0.8944918938270342, 'support': 9868.0} | {'precision': 0.8858629130966952, 'recall': 0.8881049160211673, 'f1-score': 0.8869824977978629, 'support': 13039.0} | 0.8368   | {'precision': 0.7816558096007548, 'recall': 0.7870753290216894, 'f1-score': 0.7842799998030201, 'support': 29334.0} | {'precision': 0.8379981834427648, 'recall': 0.8367764368991614, 'f1-score': 0.8373376573199475, 'support': 29334.0} |
+| No log        | 5.0   | 405  | 0.5507          | {'precision': 0.5626541134274826, 'recall': 0.5889253871421868, 'f1-score': 0.575490083686805, 'support': 4262.0}   | {'precision': 0.7744245524296676, 'recall': 0.6993071593533488, 'f1-score': 0.7349514563106796, 'support': 2165.0} | {'precision': 0.9094442693560247, 'recall': 0.8772800972841508, 'f1-score': 0.893072677567442, 'support': 9868.0}  | {'precision': 0.8688708112545712, 'recall': 0.8928598818927832, 'f1-score': 0.8807020198199561, 'support': 13039.0} | 0.8292   | {'precision': 0.7788484366169366, 'recall': 0.7645931314181174, 'f1-score': 0.7710540593462206, 'support': 29334.0} | {'precision': 0.8310582786320232, 'recall': 0.8291743369468876, 'f1-score': 0.8297614869521274, 'support': 29334.0} |
+| No log        | 6.0   | 486  | 0.6030          | {'precision': 0.5614867536575722, 'recall': 0.666353824495542, 'f1-score': 0.6094420600858369, 'support': 4262.0}   | {'precision': 0.7341541267669859, 'recall': 0.74364896073903, 'f1-score': 0.7388710417622762, 'support': 2165.0}   | {'precision': 0.918757975329647, 'recall': 0.8755573571139035, 'f1-score': 0.896637608966376, 'support': 9868.0}   | {'precision': 0.8982569603281015, 'recall': 0.873456553416673, 'f1-score': 0.8856831790963526, 'support': 13039.0}  | 0.8345   | {'precision': 0.7781639540205766, 'recall': 0.7897541739412871, 'f1-score': 0.7826584724777105, 'support': 29334.0} | {'precision': 0.8441118304632907, 'recall': 0.8344923979000477, 'f1-score': 0.8383971078959127, 'support': 29334.0} |
+| 0.3501        | 7.0   | 567  | 0.7000          | {'precision': 0.5986996098829649, 'recall': 0.5401220084467386, 'f1-score': 0.5679042802516344, 'support': 4262.0}  | {'precision': 0.8235613463626493, 'recall': 0.7006928406466513, 'f1-score': 0.7571749438482656, 'support': 2165.0} | {'precision': 0.9108108108108108, 'recall': 0.8879205512768544, 'f1-score': 0.8992200328407225, 'support': 9868.0} | {'precision': 0.8537819918728167, 'recall': 0.9184753432011658, 'f1-score': 0.8849479051208157, 'support': 13039.0} | 0.8372   | {'precision': 0.7967134397323103, 'recall': 0.7618026858928525, 'f1-score': 0.7773117905153596, 'support': 29334.0} | {'precision': 0.833674661665885, 'recall': 0.8371514283766278, 'f1-score': 0.834254817440735, 'support': 29334.0}   |
+| 0.3501        | 8.0   | 648  | 0.7253          | {'precision': 0.5610444601270289, 'recall': 0.5595964335992492, 'f1-score': 0.5603195113356043, 'support': 4262.0}  | {'precision': 0.8215042372881356, 'recall': 0.7163972286374134, 'f1-score': 0.765358993338268, 'support': 2165.0}  | {'precision': 0.9208110992529349, 'recall': 0.8743413052290231, 'f1-score': 0.8969747374987005, 'support': 9868.0} | {'precision': 0.8566365280289331, 'recall': 0.9082751744765702, 'f1-score': 0.8817004169148303, 'support': 13039.0} | 0.8320   | {'precision': 0.7899990811742581, 'recall': 0.764652535485564, 'f1-score': 0.7760884147718508, 'support': 29334.0}  | {'precision': 0.8326847950905921, 'recall': 0.8320379082293584, 'f1-score': 0.8315580017617559, 'support': 29334.0} |
+| 0.3501        | 9.0   | 729  | 0.7606          | {'precision': 0.575776926351639, 'recall': 0.6346785546691694, 'f1-score': 0.6037946428571428, 'support': 4262.0}   | {'precision': 0.7266247379454926, 'recall': 0.8004618937644342, 'f1-score': 0.7617582417582419, 'support': 2165.0} | {'precision': 0.9148418491484185, 'recall': 0.8763680583704905, 'f1-score': 0.8951917602608561, 'support': 9868.0} | {'precision': 0.8901390842319112, 'recall': 0.873686632410461, 'f1-score': 0.8818361264852731, 'support': 13039.0}  | 0.8345   | {'precision': 0.7768456494193653, 'recall': 0.7962987848036388, 'f1-score': 0.7856451928403785, 'support': 29334.0} | {'precision': 0.8407065761389229, 'recall': 0.8344583077657326, 'f1-score': 0.8370693701765644, 'support': 29334.0} |
+| 0.3501        | 10.0  | 810  | 0.8529          | {'precision': 0.5611362700699877, 'recall': 0.639605818864383, 'f1-score': 0.5978070175438598, 'support': 4262.0}   | {'precision': 0.8085327783558793, 'recall': 0.7177829099307159, 'f1-score': 0.760459995106435, 'support': 2165.0}  | {'precision': 0.9375900676199977, 'recall': 0.8571139035265505, 'f1-score': 0.8955476732489809, 'support': 9868.0} | {'precision': 0.8664006502623217, 'recall': 0.8992254007209142, 'f1-score': 0.8825079030558481, 'support': 13039.0} | 0.8339   | {'precision': 0.7934149415770466, 'recall': 0.7784320082606409, 'f1-score': 0.7840806472387809, 'support': 29334.0} | {'precision': 0.8417254078619799, 'recall': 0.8339469557510056, 'f1-score': 0.8365219331064127, 'support': 29334.0} |
+| 0.3501        | 11.0  | 891  | 0.8182          | {'precision': 0.5611759619541721, 'recall': 0.6091037071797278, 'f1-score': 0.5841584158415842, 'support': 4262.0}  | {'precision': 0.745115856428896, 'recall': 0.7575057736720554, 'f1-score': 0.7512597343105818, 'support': 2165.0}  | {'precision': 0.9214115609439273, 'recall': 0.8625861370085124, 'f1-score': 0.8910289961268711, 'support': 9868.0} | {'precision': 0.8729369206420982, 'recall': 0.8883349950149552, 'f1-score': 0.8805686483199028, 'support': 13039.0} | 0.8294   | {'precision': 0.7751600749922735, 'recall': 0.7793826532188127, 'f1-score': 0.776753948649735, 'support': 29334.0}  | {'precision': 0.8345135873274777, 'recall': 0.8294470580214086, 'f1-score': 0.8314777811523291, 'support': 29334.0} |
+| 0.3501        | 12.0  | 972  | 0.8319          | {'precision': 0.5907553551296505, 'recall': 0.6147348662599719, 'f1-score': 0.6025066114752213, 'support': 4262.0}  | {'precision': 0.7414772727272727, 'recall': 0.7233256351039261, 'f1-score': 0.7322889876081365, 'support': 2165.0} | {'precision': 0.9154129405576013, 'recall': 0.881738954195379, 'f1-score': 0.8982604655964487, 'support': 9868.0}  | {'precision': 0.8792350549616021, 'recall': 0.8956208298182375, 'f1-score': 0.8873523042437597, 'support': 13039.0} | 0.8374   | {'precision': 0.7817201558440317, 'recall': 0.7788550713443787, 'f1-score': 0.7801020922308914, 'support': 29334.0} | {'precision': 0.8393242789283376, 'recall': 0.8374241494511488, 'f1-score': 0.838191511754931, 'support': 29334.0}  |
+| 0.0592        | 13.0  | 1053 | 0.8901          | {'precision': 0.5857348703170029, 'recall': 0.5722665415297982, 'f1-score': 0.5789223830999287, 'support': 4262.0}  | {'precision': 0.765908035299582, 'recall': 0.7616628175519631, 'f1-score': 0.7637795275590551, 'support': 2165.0}  | {'precision': 0.9286720867208672, 'recall': 0.8681597081475476, 'f1-score': 0.8973969517624261, 'support': 9868.0} | {'precision': 0.8617314385150812, 'recall': 0.9114962803896004, 'f1-score': 0.8859155454511572, 'support': 13039.0} | 0.8366   | {'precision': 0.7855116077131332, 'recall': 0.7783963369047273, 'f1-score': 0.7815036019681417, 'support': 29334.0} | {'precision': 0.8370779741008496, 'recall': 0.8365718960932707, 'f1-score': 0.8361599437876358, 'support': 29334.0} |
+| 0.0592        | 14.0  | 1134 | 1.0014          | {'precision': 0.5823915900131406, 'recall': 0.5199436884091976, 'f1-score': 0.5493987851741663, 'support': 4262.0}  | {'precision': 0.7580798479087453, 'recall': 0.7367205542725174, 'f1-score': 0.7472475989693137, 'support': 2165.0} | {'precision': 0.9203320396722725, 'recall': 0.8651195784353466, 'f1-score': 0.8918721270371919, 'support': 9868.0} | {'precision': 0.8481164746625203, 'recall': 0.9203159751514687, 'f1-score': 0.8827423863469177, 'support': 13039.0} | 0.8300   | {'precision': 0.7772299880641695, 'recall': 0.7605249490671326, 'f1-score': 0.7678152243818974, 'support': 29334.0} | {'precision': 0.8271569887491997, 'recall': 0.8300265903047658, 'f1-score': 0.8273812231322469, 'support': 29334.0} |
+| 0.0592        | 15.0  | 1215 | 0.9525          | {'precision': 0.5900047370914259, 'recall': 0.5844673862036602, 'f1-score': 0.5872230080150872, 'support': 4262.0}  | {'precision': 0.787819253438114, 'recall': 0.7408775981524249, 'f1-score': 0.7636277076886455, 'support': 2165.0}  | {'precision': 0.9236014917421417, 'recall': 0.8783948115119579, 'f1-score': 0.9004311016464966, 'support': 9868.0} | {'precision': 0.8681615659922577, 'recall': 0.9115729733875297, 'f1-score': 0.889337822671156, 'support': 13039.0}  | 0.8403   | {'precision': 0.7923967620659849, 'recall': 0.7788281923138932, 'f1-score': 0.7851549100053463, 'support': 29334.0} | {'precision': 0.8404679570689874, 'recall': 0.8402877207336197, 'f1-score': 0.8398966533088925, 'support': 29334.0} |
+| 0.0592        | 16.0  | 1296 | 0.9606          | {'precision': 0.5905569007263922, 'recall': 0.5722665415297982, 'f1-score': 0.5812678741658723, 'support': 4262.0}  | {'precision': 0.6997189883580891, 'recall': 0.805080831408776, 'f1-score': 0.7487113402061856, 'support': 2165.0}  | {'precision': 0.9022900763358779, 'recall': 0.8983583299554114, 'f1-score': 0.900319910628142, 'support': 9868.0}  | {'precision': 0.8913718187461204, 'recall': 0.8810491602116727, 'f1-score': 0.8861804296679139, 'support': 13039.0} | 0.8364   | {'precision': 0.77098444604162, 'recall': 0.7891887157764146, 'f1-score': 0.7791198886670285, 'support': 29334.0}   | {'precision': 0.8371937253222967, 'recall': 0.8364014454216949, 'f1-score': 0.8364896444998899, 'support': 29334.0} |
+| 0.0592        | 17.0  | 1377 | 1.0477          | {'precision': 0.5815651380333106, 'recall': 0.5980760206475833, 'f1-score': 0.589705031810295, 'support': 4262.0}   | {'precision': 0.7966360856269113, 'recall': 0.7219399538106236, 'f1-score': 0.7574509328810274, 'support': 2165.0} | {'precision': 0.917960088691796, 'recall': 0.8810295905958654, 'f1-score': 0.8991157764103624, 'support': 9868.0}  | {'precision': 0.8738718745376535, 'recall': 0.9059743845386916, 'f1-score': 0.889633618255074, 'support': 13039.0}  | 0.8393   | {'precision': 0.7925082967224177, 'recall': 0.7767549873981909, 'f1-score': 0.7839763398391897, 'support': 29334.0} | {'precision': 0.8405329403077433, 'recall': 0.8392650167041659, 'f1-score': 0.8394903983537285, 'support': 29334.0} |
+| 0.0592        | 18.0  | 1458 | 1.0223          | {'precision': 0.5735161870503597, 'recall': 0.5985452839042703, 'f1-score': 0.5857634902411022, 'support': 4262.0}  | {'precision': 0.7626000942063118, 'recall': 0.7478060046189376, 'f1-score': 0.7551305970149254, 'support': 2165.0} | {'precision': 0.9284857734656056, 'recall': 0.8630928252938792, 'f1-score': 0.8945958720655428, 'support': 9868.0} | {'precision': 0.8720382634289919, 'recall': 0.9088887184600046, 'f1-score': 0.8900822411656465, 'support': 13039.0} | 0.8365   | {'precision': 0.7841600795378172, 'recall': 0.7795832080692728, 'f1-score': 0.7813930501218043, 'support': 29334.0} | {'precision': 0.8395772728770206, 'recall': 0.8365037158246403, 'f1-score': 0.83742538167473, 'support': 29334.0}   |
+| 0.0221        | 19.0  | 1539 | 1.0659          | {'precision': 0.5930577757478876, 'recall': 0.6093383388080713, 'f1-score': 0.6010878370558963, 'support': 4262.0}  | {'precision': 0.6994195688225538, 'recall': 0.7792147806004619, 'f1-score': 0.7371640812759448, 'support': 2165.0} | {'precision': 0.922713610991842, 'recall': 0.8710985002026753, 'f1-score': 0.896163469557965, 'support': 9868.0}   | {'precision': 0.8897709231118167, 'recall': 0.9025998926298029, 'f1-score': 0.8961394959262925, 'support': 13039.0} | 0.8403   | {'precision': 0.776240469668525, 'recall': 0.7905628780602528, 'f1-score': 0.7826387209540246, 'support': 29334.0}  | {'precision': 0.8436938905863776, 'recall': 0.8402877207336197, 'f1-score': 0.8415456672283212, 'support': 29334.0} |
+| 0.0221        | 20.0  | 1620 | 1.1141          | {'precision': 0.5949911459650898, 'recall': 0.5518535898639136, 'f1-score': 0.5726110772976263, 'support': 4262.0}  | {'precision': 0.8097686375321337, 'recall': 0.7274826789838337, 'f1-score': 0.7664233576642335, 'support': 2165.0} | {'precision': 0.9140376879102265, 'recall': 0.8749493311714633, 'f1-score': 0.8940664802733769, 'support': 9868.0} | {'precision': 0.8566118656182988, 'recall': 0.9190888871846, 'f1-score': 0.8867512671574975, 'support': 13039.0}    | 0.8367   | {'precision': 0.7938523342564372, 'recall': 0.7683436218009527, 'f1-score': 0.7799630455981834, 'support': 29334.0} | {'precision': 0.8344612867135542, 'recall': 0.8367423467648463, 'f1-score': 0.8346891927657273, 'support': 29334.0} |
+| 0.0221        | 21.0  | 1701 | 1.0835          | {'precision': 0.5811926605504587, 'recall': 0.5945565462224308, 'f1-score': 0.5877986546045001, 'support': 4262.0}  | {'precision': 0.8357461024498887, 'recall': 0.6933025404157044, 'f1-score': 0.7578894218631658, 'support': 2165.0} | {'precision': 0.9177489177489178, 'recall': 0.8808269152817186, 'f1-score': 0.8989089404829618, 'support': 9868.0} | {'precision': 0.8672211278908587, 'recall': 0.911649666385459, 'f1-score': 0.8888805802736859, 'support': 13039.0}  | 0.8391   | {'precision': 0.8004772021600309, 'recall': 0.7700839170763282, 'f1-score': 0.7833693993060784, 'support': 29334.0} | {'precision': 0.8403380390667924, 'recall': 0.8390945660325901, 'f1-score': 0.8388414732096745, 'support': 29334.0} |
+| 0.0221        | 22.0  | 1782 | 1.0930          | {'precision': 0.6045955002393489, 'recall': 0.5926794931956828, 'f1-score': 0.5985781990521326, 'support': 4262.0}  | {'precision': 0.7659963436928702, 'recall': 0.7741339491916859, 'f1-score': 0.7700436480588099, 'support': 2165.0} | {'precision': 0.9202473276042759, 'recall': 0.8898459667612485, 'f1-score': 0.9047913446676972, 'support': 9868.0} | {'precision': 0.8782213615373157, 'recall': 0.9042871385842473, 'f1-score': 0.8910636689967883, 'support': 13039.0} | 0.8445   | {'precision': 0.7922651332684526, 'recall': 0.7902366369332161, 'f1-score': 0.7911192151938571, 'support': 29334.0} | {'precision': 0.8443204836707991, 'recall': 0.8445489875230109, 'f1-score': 0.8442539357618283, 'support': 29334.0} |
+| 0.0221        | 23.0  | 1863 | 1.1053          | {'precision': 0.6242860690340204, 'recall': 0.5898639136555608, 'f1-score': 0.6065870430691278, 'support': 4262.0}  | {'precision': 0.7682088868529546, 'recall': 0.77459584295612, 'f1-score': 0.7713891444342226, 'support': 2165.0}   | {'precision': 0.916354556803995, 'recall': 0.8925820835022295, 'f1-score': 0.9043121149897331, 'support': 9868.0}  | {'precision': 0.8755180580224985, 'recall': 0.9072781655034895, 'f1-score': 0.8911152122330608, 'support': 13039.0} | 0.8464   | {'precision': 0.7960918926783671, 'recall': 0.79108000140435, 'f1-score': 0.793350878681536, 'support': 29334.0}    | {'precision': 0.8448335103073846, 'recall': 0.8464239449103429, 'f1-score': 0.8453785599743056, 'support': 29334.0} |
+| 0.0221        | 24.0  | 1944 | 1.1296          | {'precision': 0.5723617064707083, 'recall': 0.657907085875176, 'f1-score': 0.612160244514791, 'support': 4262.0}    | {'precision': 0.74928092042186, 'recall': 0.7219399538106236, 'f1-score': 0.7353563867325336, 'support': 2165.0}   | {'precision': 0.9411369740376008, 'recall': 0.8522496959870288, 'f1-score': 0.8944905339289514, 'support': 9868.0} | {'precision': 0.8760158055617684, 'recall': 0.9011427256691464, 'f1-score': 0.888401633146832, 'support': 13039.0}  | 0.8361   | {'precision': 0.7846988516229843, 'recall': 0.7833098653354937, 'f1-score': 0.7826021995807769, 'support': 29334.0} | {'precision': 0.8444504170660131, 'recall': 0.8361287243471739, 'f1-score': 0.8390187162613489, 'support': 29334.0} |
+| 0.0121        | 25.0  | 2025 | 1.1851          | {'precision': 0.5420016077170418, 'recall': 0.6328015016424214, 'f1-score': 0.5838926174496645, 'support': 4262.0}  | {'precision': 0.7453046266605589, 'recall': 0.751501154734411, 'f1-score': 0.7483900643974242, 'support': 2165.0}  | {'precision': 0.9215119391797837, 'recall': 0.872111876773409, 'f1-score': 0.8961316186806892, 'support': 9868.0}  | {'precision': 0.8868806481770022, 'recall': 0.8730730884270266, 'f1-score': 0.8799227053140096, 'support': 13039.0} | 0.8289   | {'precision': 0.7739247054335967, 'recall': 0.782371905394317, 'f1-score': 0.7770842514604469, 'support': 29334.0}  | {'precision': 0.8379734082026378, 'recall': 0.8288675257380514, 'f1-score': 0.8326567734615568, 'support': 29334.0} |
+| 0.0121        | 26.0  | 2106 | 1.1608          | {'precision': 0.5844748858447488, 'recall': 0.5706241201313937, 'f1-score': 0.5774664608809212, 'support': 4262.0}  | {'precision': 0.7811717576364546, 'recall': 0.7205542725173211, 'f1-score': 0.7496395963479097, 'support': 2165.0} | {'precision': 0.9070486397361912, 'recall': 0.8919740575597892, 'f1-score': 0.8994481912936848, 'support': 9868.0} | {'precision': 0.8734412114014252, 'recall': 0.9024465066339443, 'f1-score': 0.887706989551507, 'support': 13039.0}  | 0.8373   | {'precision': 0.786534123654705, 'recall': 0.7713997392106121, 'f1-score': 0.7785653095185057, 'support': 29334.0}  | {'precision': 0.8359522994181892, 'recall': 0.8372877889138883, 'f1-score': 0.8363911492062416, 'support': 29334.0} |
+| 0.0121        | 27.0  | 2187 | 1.2414          | {'precision': 0.5587455830388692, 'recall': 0.5936180197090568, 'f1-score': 0.5756541524459613, 'support': 4262.0}  | {'precision': 0.7639377197388247, 'recall': 0.702540415704388, 'f1-score': 0.7319538017324351, 'support': 2165.0}  | {'precision': 0.934953934953935, 'recall': 0.8535670855289825, 'f1-score': 0.8924087513905812, 'support': 9868.0}  | {'precision': 0.8628857018687527, 'recall': 0.9136436843316206, 'f1-score': 0.8875395790650028, 'support': 13039.0} | 0.8314   | {'precision': 0.7801307349000954, 'recall': 0.7658423013185119, 'f1-score': 0.771889071158495, 'support': 29334.0}  | {'precision': 0.8356375173838656, 'recall': 0.8313561055430558, 'f1-score': 0.832380040520428, 'support': 29334.0}  |
+| 0.0121        | 28.0  | 2268 | 1.1803          | {'precision': 0.5745489078822412, 'recall': 0.5678085405912717, 'f1-score': 0.5711588388010385, 'support': 4262.0}  | {'precision': 0.759923481587757, 'recall': 0.7339491916859122, 'f1-score': 0.7467105263157894, 'support': 2165.0}  | {'precision': 0.9240980623059629, 'recall': 0.8747466558573166, 'f1-score': 0.8987453797698997, 'support': 9868.0} | {'precision': 0.8636230825420015, 'recall': 0.9067413145179845, 'f1-score': 0.8846571139960342, 'support': 13039.0} | 0.8340   | {'precision': 0.7805483835794906, 'recall': 0.7708114256631212, 'f1-score': 0.7753179647206904, 'support': 29334.0} | {'precision': 0.834313180443581, 'recall': 0.8339810458853207, 'f1-score': 0.8336664204475138, 'support': 29334.0}  |
+| 0.0121        | 29.0  | 2349 | 1.1596          | {'precision': 0.577922077922078, 'recall': 0.6055842327545753, 'f1-score': 0.5914298808432631, 'support': 4262.0}   | {'precision': 0.7678825201326386, 'recall': 0.748729792147806, 'f1-score': 0.7581852198316185, 'support': 2165.0}  | {'precision': 0.9200716090985678, 'recall': 0.8853871098500202, 'f1-score': 0.9023961991324106, 'support': 9868.0} | {'precision': 0.8802503581931981, 'recall': 0.8952373648285912, 'f1-score': 0.887680608365019, 'support': 13039.0}  | 0.8390   | {'precision': 0.7865316413366206, 'recall': 0.7837346248952481, 'f1-score': 0.7849229770430779, 'support': 29334.0} | {'precision': 0.841427033860259, 'recall': 0.8390263857639599, 'f1-score': 0.8400306231199138, 'support': 29334.0}  |
+| 0.0121        | 30.0  | 2430 | 1.1079          | {'precision': 0.5908226343319068, 'recall': 0.5830595964335993, 'f1-score': 0.5869154463863959, 'support': 4262.0}  | {'precision': 0.7353747714808044, 'recall': 0.7431870669745958, 'f1-score': 0.7392602802664829, 'support': 2165.0} | {'precision': 0.9172500261205726, 'recall': 0.8896432914471017, 'f1-score': 0.903235763156541, 'support': 9868.0}  | {'precision': 0.8796469444236666, 'recall': 0.9019096556484393, 'f1-score': 0.8906392002423507, 'support': 13039.0} | 0.8397   | {'precision': 0.7807735940892376, 'recall': 0.779449902625934, 'f1-score': 0.7800126725129426, 'support': 29334.0}  | {'precision': 0.8396847417289331, 'recall': 0.8397422785845776, 'f1-score': 0.8395754817639772, 'support': 29334.0} |
+| 0.0062        | 31.0  | 2511 | 1.2153          | {'precision': 0.5875237191650854, 'recall': 0.5811825434068513, 'f1-score': 0.5843359282849729, 'support': 4262.0}  | {'precision': 0.7917981072555205, 'recall': 0.6956120092378753, 'f1-score': 0.7405950331940004, 'support': 2165.0} | {'precision': 0.9167449139280125, 'recall': 0.8904539927036887, 'f1-score': 0.9034082146712589, 'support': 9868.0} | {'precision': 0.8704423740004402, 'recall': 0.9099624204310146, 'f1-score': 0.889763779527559, 'support': 13039.0}  | 0.8398   | {'precision': 0.7916272785872646, 'recall': 0.7693027414448574, 'f1-score': 0.7795257389194479, 'support': 29334.0} | {'precision': 0.8391084038495659, 'recall': 0.8398104588532079, 'f1-score': 0.8389680969813661, 'support': 29334.0} |
+| 0.0062        | 32.0  | 2592 | 1.2206          | {'precision': 0.5818530964954393, 'recall': 0.5687470671046457, 'f1-score': 0.5752254390128144, 'support': 4262.0}  | {'precision': 0.7966280295047419, 'recall': 0.6983833718244804, 'f1-score': 0.7442776273689393, 'support': 2165.0} | {'precision': 0.9354697582850268, 'recall': 0.8667409809485205, 'f1-score': 0.89979485560991, 'support': 9868.0}   | {'precision': 0.8528349968146103, 'recall': 0.9239972390520745, 'f1-score': 0.8869910918059338, 'support': 13039.0} | 0.8365   | {'precision': 0.7916964702749545, 'recall': 0.7644671647324303, 'f1-score': 0.7765722534493993, 'support': 29334.0} | {'precision': 0.8371135433068684, 'recall': 0.8364696256903252, 'f1-score': 0.835468206366078, 'support': 29334.0}  |
+| 0.0062        | 33.0  | 2673 | 1.2003          | {'precision': 0.5884494054841058, 'recall': 0.5689816987329892, 'f1-score': 0.5785518310867231, 'support': 4262.0}  | {'precision': 0.8168557536466775, 'recall': 0.6983833718244804, 'f1-score': 0.7529880478087649, 'support': 2165.0} | {'precision': 0.9152016546018614, 'recall': 0.8968382650993109, 'f1-score': 0.9059269116593306, 'support': 9868.0} | {'precision': 0.8656879929886064, 'recall': 0.9090421044558632, 'f1-score': 0.8868355093337323, 'support': 13039.0} | 0.8400   | {'precision': 0.7965487016803128, 'recall': 0.7683113600281608, 'f1-score': 0.7810755749721379, 'support': 29334.0} | {'precision': 0.8384597989025678, 'recall': 0.8399809095247835, 'f1-score': 0.8385880547506103, 'support': 29334.0} |
+| 0.0062        | 34.0  | 2754 | 1.1772          | {'precision': 0.5838150289017341, 'recall': 0.6161426560300328, 'f1-score': 0.5995433789954339, 'support': 4262.0}  | {'precision': 0.7706552706552706, 'recall': 0.7496535796766743, 'f1-score': 0.7600093654881762, 'support': 2165.0} | {'precision': 0.9282564268043455, 'recall': 0.8745439805431698, 'f1-score': 0.9006000521784504, 'support': 9868.0} | {'precision': 0.873967095957716, 'recall': 0.9003757956898535, 'f1-score': 0.8869749168933212, 'support': 13039.0}  | 0.8393   | {'precision': 0.7891734555797665, 'recall': 0.7851790029849326, 'f1-score': 0.7867819283888454, 'support': 29334.0} | {'precision': 0.8424483431528531, 'recall': 0.8392650167041659, 'f1-score': 0.8404261748765735, 'support': 29334.0} |
+| 0.0062        | 35.0  | 2835 | 1.1895          | {'precision': 0.606857679661813, 'recall': 0.6062881276396058, 'f1-score': 0.6065727699530515, 'support': 4262.0}   | {'precision': 0.7335437330928765, 'recall': 0.751501154734411, 'f1-score': 0.7424138717773214, 'support': 2165.0}  | {'precision': 0.9192592592592592, 'recall': 0.8803202269963518, 'f1-score': 0.8993684646443731, 'support': 9868.0} | {'precision': 0.8780578758949881, 'recall': 0.90290666462152, 'f1-score': 0.890308919726245, 'support': 13039.0}    | 0.8410   | {'precision': 0.7844296369772342, 'recall': 0.7852540434979722, 'f1-score': 0.7846660065252478, 'support': 29334.0} | {'precision': 0.8418489339002468, 'recall': 0.8410377036885526, 'f1-score': 0.841216512966489, 'support': 29334.0}  |
+| 0.0062        | 36.0  | 2916 | 1.1666          | {'precision': 0.6117251321480057, 'recall': 0.5973721257625528, 'f1-score': 0.6044634377967711, 'support': 4262.0}  | {'precision': 0.7328311918475853, 'recall': 0.763972286374134, 'f1-score': 0.7480777928539123, 'support': 2165.0}  | {'precision': 0.9175440425310122, 'recall': 0.8919740575597892, 'f1-score': 0.9045783875443194, 'support': 9868.0} | {'precision': 0.8791472751839063, 'recall': 0.8982283917478334, 'f1-score': 0.8885854102651645, 'support': 13039.0} | 0.8425   | {'precision': 0.7853119104276274, 'recall': 0.7878867153610773, 'f1-score': 0.7864262571150419, 'support': 29334.0} | {'precision': 0.8424107853134181, 'recall': 0.842503579464103, 'f1-score': 0.8423145935144672, 'support': 29334.0}  |
+| 0.0062        | 37.0  | 2997 | 1.2146          | {'precision': 0.6104142011834319, 'recall': 0.6051149694978883, 'f1-score': 0.6077530340520797, 'support': 4262.0}  | {'precision': 0.8113879003558719, 'recall': 0.7371824480369515, 'f1-score': 0.7725072604065828, 'support': 2165.0} | {'precision': 0.9233368532206969, 'recall': 0.8860964734495338, 'f1-score': 0.9043334367566449, 'support': 9868.0} | {'precision': 0.8682709186658865, 'recall': 0.9104225784185904, 'f1-score': 0.888847291378084, 'support': 13039.0}  | 0.8451   | {'precision': 0.8033524683564718, 'recall': 0.7847041173507411, 'f1-score': 0.7933602556483479, 'support': 29334.0} | {'precision': 0.845132361961566, 'recall': 0.845094429672053, 'f1-score': 0.8446295710132824, 'support': 29334.0}   |
+| 0.0043        | 38.0  | 3078 | 1.2219          | {'precision': 0.607548995886765, 'recall': 0.5891600187705303, 'f1-score': 0.5982132221560452, 'support': 4262.0}   | {'precision': 0.8046558704453441, 'recall': 0.7344110854503464, 'f1-score': 0.7679304515817436, 'support': 2165.0} | {'precision': 0.9161189358372457, 'recall': 0.8898459667612485, 'f1-score': 0.902791343237547, 'support': 9868.0}  | {'precision': 0.8706011730205279, 'recall': 0.9107293504103076, 'f1-score': 0.8902132763596836, 'support': 13039.0} | 0.8440   | {'precision': 0.7997312437974707, 'recall': 0.7810366053481081, 'f1-score': 0.7897870733337549, 'support': 29334.0} | {'precision': 0.842826894860577, 'recall': 0.8439694552396536, 'f1-score': 0.8429941387477182, 'support': 29334.0}  |
+| 0.0043        | 39.0  | 3159 | 1.2388          | {'precision': 0.5807318585900352, 'recall': 0.6590802440168935, 'f1-score': 0.6174304868666887, 'support': 4262.0}  | {'precision': 0.8076535750251762, 'recall': 0.7408775981524249, 'f1-score': 0.7728258251023848, 'support': 2165.0} | {'precision': 0.9215976331360947, 'recall': 0.8838670449939198, 'f1-score': 0.9023380922822264, 'support': 9868.0} | {'precision': 0.8848011037020005, 'recall': 0.8853439680957128, 'f1-score': 0.8850724526565974, 'support': 13039.0} | 0.8413   | {'precision': 0.7986960426133265, 'recall': 0.7922922138147377, 'f1-score': 0.7944167142269745, 'support': 29334.0} | {'precision': 0.8473067500578716, 'recall': 0.8413104247630736, 'f1-score': 0.8437099833368404, 'support': 29334.0} |
+| 0.0043        | 40.0  | 3240 | 1.2564          | {'precision': 0.6038774533269506, 'recall': 0.5919755983106523, 'f1-score': 0.597867298578199, 'support': 4262.0}   | {'precision': 0.8135162601626016, 'recall': 0.7394919168591224, 'f1-score': 0.7747398983789014, 'support': 2165.0} | {'precision': 0.9209081309398099, 'recall': 0.8837657073368463, 'f1-score': 0.9019547005895129, 'support': 9868.0} | {'precision': 0.8650677941390873, 'recall': 0.9101158064268732, 'f1-score': 0.8870202190081099, 'support': 13039.0} | 0.8424   | {'precision': 0.8008424096421124, 'recall': 0.7813372572333735, 'f1-score': 0.7903955291386808, 'support': 29334.0} | {'precision': 0.8420988891124668, 'recall': 0.8424353991954728, 'f1-score': 0.8417456851297015, 'support': 29334.0} |
+| 0.0043        | 41.0  | 3321 | 1.2344          | {'precision': 0.6037467393881907, 'recall': 0.5973721257625528, 'f1-score': 0.6005425168062271, 'support': 4262.0}  | {'precision': 0.8185071574642127, 'recall': 0.7394919168591224, 'f1-score': 0.7769958747876727, 'support': 2165.0} | {'precision': 0.9191644908616188, 'recall': 0.8918727199027159, 'f1-score': 0.9053129661060536, 'support': 9868.0} | {'precision': 0.8714853525688209, 'recall': 0.9080450954827824, 'f1-score': 0.8893896713615024, 'support': 13039.0} | 0.8450   | {'precision': 0.8032259350707107, 'recall': 0.7841954645017934, 'f1-score': 0.793060257265364, 'support': 29334.0}  | {'precision': 0.8447143010550829, 'recall': 0.8450262494034226, 'f1-score': 0.8444838259344317, 'support': 29334.0} |
+| 0.0043        | 42.0  | 3402 | 1.2454          | {'precision': 0.607732085693179, 'recall': 0.5790708587517598, 'f1-score': 0.5930553886819657, 'support': 4262.0}   | {'precision': 0.8161802355350742, 'recall': 0.7362586605080832, 'f1-score': 0.7741622146673143, 'support': 2165.0} | {'precision': 0.9137449581135588, 'recall': 0.8953182002432104, 'f1-score': 0.9044377335312486, 'support': 9868.0} | {'precision': 0.869606622225478, 'recall': 0.9104225784185904, 'f1-score': 0.8895466466841514, 'support': 13039.0}  | 0.8443   | {'precision': 0.8018159753918225, 'recall': 0.780267574480411, 'f1-score': 0.79030049589117, 'support': 29334.0}    | {'precision': 0.8424633651401231, 'recall': 0.8443444467171201, 'f1-score': 0.8429622125151117, 'support': 29334.0} |
+| 0.0043        | 43.0  | 3483 | 1.2396          | {'precision': 0.5977417078334509, 'recall': 0.5961989676208352, 'f1-score': 0.5969693410078702, 'support': 4262.0}  | {'precision': 0.8070805541303232, 'recall': 0.7265588914549653, 'f1-score': 0.764705882352941, 'support': 2165.0}  | {'precision': 0.9202486304256215, 'recall': 0.8851844345358735, 'f1-score': 0.9023760330578511, 'support': 9868.0} | {'precision': 0.8693739920832723, 'recall': 0.9095789554413682, 'f1-score': 0.8890221505940558, 'support': 13039.0} | 0.8423   | {'precision': 0.798611221118167, 'recall': 0.7793803122632605, 'f1-score': 0.7882683517531794, 'support': 29334.0}  | {'precision': 0.8424246787445332, 'recall': 0.8423331287925274, 'f1-score': 0.8419062549424022, 'support': 29334.0} |
+| 0.0034        | 44.0  | 3564 | 1.2523          | {'precision': 0.6167139540882125, 'recall': 0.5610042233693102, 'f1-score': 0.5875414670106893, 'support': 4262.0}  | {'precision': 0.8153061224489796, 'recall': 0.7381062355658199, 'f1-score': 0.7747878787878788, 'support': 2165.0} | {'precision': 0.9169854233433268, 'recall': 0.8988650182407782, 'f1-score': 0.9078348088634154, 'support': 9868.0} | {'precision': 0.8653067129629629, 'recall': 0.9174016412301557, 'f1-score': 0.8905930089714477, 'support': 13039.0} | 0.8462   | {'precision': 0.8035780532108705, 'recall': 0.7788442796015159, 'f1-score': 0.7901892909083578, 'support': 29334.0} | {'precision': 0.8428826281892011, 'recall': 0.8461512238358219, 'f1-score': 0.8438151506040159, 'support': 29334.0} |
+| 0.0034        | 45.0  | 3645 | 1.2569          | {'precision': 0.5956501403180543, 'recall': 0.5976067573908963, 'f1-score': 0.5966268446943078, 'support': 4262.0}  | {'precision': 0.8109375, 'recall': 0.7191685912240184, 'f1-score': 0.7623011015911872, 'support': 2165.0}          | {'precision': 0.9264893617021277, 'recall': 0.882549655451966, 'f1-score': 0.9039858833298734, 'support': 9868.0}  | {'precision': 0.8643907410103363, 'recall': 0.9107293504103076, 'f1-score': 0.8869552227658065, 'support': 13039.0} | 0.8416   | {'precision': 0.7993669357576295, 'recall': 0.777513588619297, 'f1-score': 0.7874672630952938, 'support': 29334.0}  | {'precision': 0.8422897824656003, 'recall': 0.8416172359719097, 'f1-score': 0.8413018116647781, 'support': 29334.0} |
+| 0.0034        | 46.0  | 3726 | 1.2538          | {'precision': 0.5921505623135185, 'recall': 0.6053496011262318, 'f1-score': 0.5986773407587886, 'support': 4262.0}  | {'precision': 0.8124022928608651, 'recall': 0.7200923787528868, 'f1-score': 0.7634671890303624, 'support': 2165.0} | {'precision': 0.9249020230907743, 'recall': 0.8848804215646534, 'f1-score': 0.9044487026775078, 'support': 9868.0} | {'precision': 0.8677388558419622, 'recall': 0.9062044635324795, 'f1-score': 0.8865546218487395, 'support': 13039.0} | 0.8416   | {'precision': 0.79929843352678, 'recall': 0.779131716244063, 'f1-score': 0.7882869635788495, 'support': 29334.0}    | {'precision': 0.8428436887504975, 'recall': 0.8415831458375946, 'f1-score': 0.8416634213837886, 'support': 29334.0} |
+| 0.0034        | 47.0  | 3807 | 1.2729          | {'precision': 0.5972959922742637, 'recall': 0.5804786485218207, 'f1-score': 0.5887672536887196, 'support': 4262.0}  | {'precision': 0.8081907724209435, 'recall': 0.7200923787528868, 'f1-score': 0.7616023448949681, 'support': 2165.0} | {'precision': 0.9219409282700421, 'recall': 0.8856911228212404, 'f1-score': 0.9034525532354765, 'support': 9868.0} | {'precision': 0.8636000870637742, 'recall': 0.9128767543523276, 'f1-score': 0.8875549921706063, 'support': 13039.0} | 0.8412   | {'precision': 0.7977569450072559, 'recall': 0.7747847261120688, 'f1-score': 0.7853442859974425, 'support': 29334.0} | {'precision': 0.8404446429657594, 'recall': 0.8412081543601282, 'f1-score': 0.8401954881761488, 'support': 29334.0} |
+| 0.0034        | 48.0  | 3888 | 1.2605          | {'precision': 0.5967088003815884, 'recall': 0.5870483341154388, 'f1-score': 0.5918391484328799, 'support': 4262.0}  | {'precision': 0.8079877112135176, 'recall': 0.7288683602771363, 'f1-score': 0.7663914521612433, 'support': 2165.0} | {'precision': 0.9202300052273915, 'recall': 0.8919740575597892, 'f1-score': 0.9058817475428395, 'support': 9868.0} | {'precision': 0.8690449974308155, 'recall': 0.9079684024848531, 'f1-score': 0.8880804140724626, 'support': 13039.0} | 0.8427   | {'precision': 0.7984928785633282, 'recall': 0.7789647886093043, 'f1-score': 0.7880481905523563, 'support': 29334.0} | {'precision': 0.8421890541722198, 'recall': 0.842742210404309, 'f1-score': 0.8420460062860028, 'support': 29334.0}  |
+| 0.0034        | 49.0  | 3969 | 1.2654          | {'precision': 0.5976983936705826, 'recall': 0.5849366494603473, 'f1-score': 0.5912486659551762, 'support': 4262.0}  | {'precision': 0.8090117767537123, 'recall': 0.7297921478060047, 'f1-score': 0.7673627974745022, 'support': 2165.0} | {'precision': 0.9196736743018513, 'recall': 0.8910620186461289, 'f1-score': 0.9051417983426837, 'support': 9868.0} | {'precision': 0.8682687376364568, 'recall': 0.9088887184600046, 'f1-score': 0.8881145083932854, 'support': 13039.0} | 0.8426   | {'precision': 0.7986631455906508, 'recall': 0.7786698835931214, 'f1-score': 0.787966942541412, 'support': 29334.0}  | {'precision': 0.841876216627403, 'recall': 0.8426058498670485, 'f1-score': 0.8417981390815746, 'support': 29334.0}  |
+| 0.0031        | 50.0  | 4050 | 1.2704          | {'precision': 0.5972354623450906, 'recall': 0.5879868606288128, 'f1-score': 0.5925750768503193, 'support': 4262.0}  | {'precision': 0.8091328886608518, 'recall': 0.7284064665127021, 'f1-score': 0.7666504618376278, 'support': 2165.0} | {'precision': 0.9211161229413616, 'recall': 0.8898459667612485, 'f1-score': 0.9052110715942477, 'support': 9868.0} | {'precision': 0.8676039835969537, 'recall': 0.9086586394662167, 'f1-score': 0.8876568645813823, 'support': 13039.0} | 0.8424   | {'precision': 0.7987721143860643, 'recall': 0.7787244833422451, 'f1-score': 0.7880233687158943, 'support': 29334.0} | {'precision': 0.8420076528182845, 'recall': 0.8424353991954728, 'f1-score': 0.8417581625139158, 'support': 29334.0} |
 
 
 ### Framework versions
 
-- Transformers 4.37.2
-- Pytorch 2.2.0+cu121
-- Datasets 2.17.0
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
 - Tokenizers 0.15.2

meta_data/README_s42_e50.md

@@ -0,0 +1,130 @@
+---
+license: apache-2.0
+base_model: allenai/longformer-base-4096
+tags:
+- generated_from_trainer
+datasets:
+- essays_su_g
+metrics:
+- accuracy
+model-index:
+- name: longformer-simple
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: essays_su_g
+      type: essays_su_g
+      config: simple
+      split: train[0%:20%]
+      args: simple
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8424353991954728
+---
+
+<!-- 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-simple
+
+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: 1.2704
+- Claim: {'precision': 0.5972354623450906, 'recall': 0.5879868606288128, 'f1-score': 0.5925750768503193, 'support': 4262.0}
+- Majorclaim: {'precision': 0.8091328886608518, 'recall': 0.7284064665127021, 'f1-score': 0.7666504618376278, 'support': 2165.0}
+- O: {'precision': 0.9211161229413616, 'recall': 0.8898459667612485, 'f1-score': 0.9052110715942477, 'support': 9868.0}
+- Premise: {'precision': 0.8676039835969537, 'recall': 0.9086586394662167, 'f1-score': 0.8876568645813823, 'support': 13039.0}
+- Accuracy: 0.8424
+- Macro avg: {'precision': 0.7987721143860643, 'recall': 0.7787244833422451, 'f1-score': 0.7880233687158943, 'support': 29334.0}
+- Weighted avg: {'precision': 0.8420076528182845, 'recall': 0.8424353991954728, 'f1-score': 0.8417581625139158, 'support': 29334.0}
+
+## 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 | Claim                                                                                                               | Majorclaim                                                                                                         | O                                                                                                                  | Premise                                                                                                             | Accuracy | Macro avg                                                                                                           | Weighted avg                                                                                                        |
+|:-------------:|:-----:|:----:|:---------------:|:-------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:--------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|
+| No log        | 1.0   | 81   | 0.5471          | {'precision': 0.45446915652538816, 'recall': 0.5082121069920226, 'f1-score': 0.4798404962339389, 'support': 4262.0} | {'precision': 0.5914396887159533, 'recall': 0.6318706697459584, 'f1-score': 0.6109870477891916, 'support': 2165.0} | {'precision': 0.9164132026585559, 'recall': 0.8243818402918525, 'f1-score': 0.8679647906108295, 'support': 9868.0} | {'precision': 0.852593810734041, 'recall': 0.8747603343814709, 'f1-score': 0.8635348449861832, 'support': 13039.0}  | 0.7866   | {'precision': 0.7037289646584846, 'recall': 0.709806237852826, 'f1-score': 0.7055817949050358, 'support': 29334.0}  | {'precision': 0.7969438417255414, 'recall': 0.7866298493216063, 'f1-score': 0.7906379815550267, 'support': 29334.0} |
+| No log        | 2.0   | 162  | 0.5196          | {'precision': 0.5064490124949617, 'recall': 0.5896292820272173, 'f1-score': 0.5448829141370338, 'support': 4262.0}  | {'precision': 0.5564053537284895, 'recall': 0.8064665127020785, 'f1-score': 0.6584951914010938, 'support': 2165.0} | {'precision': 0.9374127501163332, 'recall': 0.8165788406972031, 'f1-score': 0.8728336221837087, 'support': 9868.0} | {'precision': 0.8852666561164741, 'recall': 0.858041260832886, 'f1-score': 0.8714413677610314, 'support': 13039.0}  | 0.8013   | {'precision': 0.7213834431140647, 'recall': 0.7676789740648462, 'f1-score': 0.7369132738707169, 'support': 29334.0} | {'precision': 0.8234977919590369, 'recall': 0.8012886070771119, 'f1-score': 0.8087468210056704, 'support': 29334.0} |
+| No log        | 3.0   | 243  | 0.5239          | {'precision': 0.5717288491854966, 'recall': 0.5105584232754575, 'f1-score': 0.5394149727317799, 'support': 4262.0}  | {'precision': 0.7751024590163934, 'recall': 0.6988452655889146, 'f1-score': 0.7350012144765606, 'support': 2165.0} | {'precision': 0.9378775789353699, 'recall': 0.8338062423996757, 'f1-score': 0.8827852583015933, 'support': 9868.0} | {'precision': 0.8284131594946971, 'recall': 0.9404862336068717, 'f1-score': 0.8808993606781121, 'support': 13039.0} | 0.8243   | {'precision': 0.7782805116579892, 'recall': 0.7459240412177299, 'f1-score': 0.7595252015470114, 'support': 29334.0} | {'precision': 0.8240083287170064, 'recall': 0.8242994477398241, 'f1-score': 0.8211507443896716, 'support': 29334.0} |
+| No log        | 4.0   | 324  | 0.4756          | {'precision': 0.5839096357768557, 'recall': 0.5943219145940872, 'f1-score': 0.5890697674418606, 'support': 4262.0}  | {'precision': 0.7539079946404645, 'recall': 0.7796766743648961, 'f1-score': 0.7665758401453224, 'support': 2165.0} | {'precision': 0.9029426948890036, 'recall': 0.8861978111066072, 'f1-score': 0.8944918938270342, 'support': 9868.0} | {'precision': 0.8858629130966952, 'recall': 0.8881049160211673, 'f1-score': 0.8869824977978629, 'support': 13039.0} | 0.8368   | {'precision': 0.7816558096007548, 'recall': 0.7870753290216894, 'f1-score': 0.7842799998030201, 'support': 29334.0} | {'precision': 0.8379981834427648, 'recall': 0.8367764368991614, 'f1-score': 0.8373376573199475, 'support': 29334.0} |
+| No log        | 5.0   | 405  | 0.5507          | {'precision': 0.5626541134274826, 'recall': 0.5889253871421868, 'f1-score': 0.575490083686805, 'support': 4262.0}   | {'precision': 0.7744245524296676, 'recall': 0.6993071593533488, 'f1-score': 0.7349514563106796, 'support': 2165.0} | {'precision': 0.9094442693560247, 'recall': 0.8772800972841508, 'f1-score': 0.893072677567442, 'support': 9868.0}  | {'precision': 0.8688708112545712, 'recall': 0.8928598818927832, 'f1-score': 0.8807020198199561, 'support': 13039.0} | 0.8292   | {'precision': 0.7788484366169366, 'recall': 0.7645931314181174, 'f1-score': 0.7710540593462206, 'support': 29334.0} | {'precision': 0.8310582786320232, 'recall': 0.8291743369468876, 'f1-score': 0.8297614869521274, 'support': 29334.0} |
+| No log        | 6.0   | 486  | 0.6030          | {'precision': 0.5614867536575722, 'recall': 0.666353824495542, 'f1-score': 0.6094420600858369, 'support': 4262.0}   | {'precision': 0.7341541267669859, 'recall': 0.74364896073903, 'f1-score': 0.7388710417622762, 'support': 2165.0}   | {'precision': 0.918757975329647, 'recall': 0.8755573571139035, 'f1-score': 0.896637608966376, 'support': 9868.0}   | {'precision': 0.8982569603281015, 'recall': 0.873456553416673, 'f1-score': 0.8856831790963526, 'support': 13039.0}  | 0.8345   | {'precision': 0.7781639540205766, 'recall': 0.7897541739412871, 'f1-score': 0.7826584724777105, 'support': 29334.0} | {'precision': 0.8441118304632907, 'recall': 0.8344923979000477, 'f1-score': 0.8383971078959127, 'support': 29334.0} |
+| 0.3501        | 7.0   | 567  | 0.7000          | {'precision': 0.5986996098829649, 'recall': 0.5401220084467386, 'f1-score': 0.5679042802516344, 'support': 4262.0}  | {'precision': 0.8235613463626493, 'recall': 0.7006928406466513, 'f1-score': 0.7571749438482656, 'support': 2165.0} | {'precision': 0.9108108108108108, 'recall': 0.8879205512768544, 'f1-score': 0.8992200328407225, 'support': 9868.0} | {'precision': 0.8537819918728167, 'recall': 0.9184753432011658, 'f1-score': 0.8849479051208157, 'support': 13039.0} | 0.8372   | {'precision': 0.7967134397323103, 'recall': 0.7618026858928525, 'f1-score': 0.7773117905153596, 'support': 29334.0} | {'precision': 0.833674661665885, 'recall': 0.8371514283766278, 'f1-score': 0.834254817440735, 'support': 29334.0}   |
+| 0.3501        | 8.0   | 648  | 0.7253          | {'precision': 0.5610444601270289, 'recall': 0.5595964335992492, 'f1-score': 0.5603195113356043, 'support': 4262.0}  | {'precision': 0.8215042372881356, 'recall': 0.7163972286374134, 'f1-score': 0.765358993338268, 'support': 2165.0}  | {'precision': 0.9208110992529349, 'recall': 0.8743413052290231, 'f1-score': 0.8969747374987005, 'support': 9868.0} | {'precision': 0.8566365280289331, 'recall': 0.9082751744765702, 'f1-score': 0.8817004169148303, 'support': 13039.0} | 0.8320   | {'precision': 0.7899990811742581, 'recall': 0.764652535485564, 'f1-score': 0.7760884147718508, 'support': 29334.0}  | {'precision': 0.8326847950905921, 'recall': 0.8320379082293584, 'f1-score': 0.8315580017617559, 'support': 29334.0} |
+| 0.3501        | 9.0   | 729  | 0.7606          | {'precision': 0.575776926351639, 'recall': 0.6346785546691694, 'f1-score': 0.6037946428571428, 'support': 4262.0}   | {'precision': 0.7266247379454926, 'recall': 0.8004618937644342, 'f1-score': 0.7617582417582419, 'support': 2165.0} | {'precision': 0.9148418491484185, 'recall': 0.8763680583704905, 'f1-score': 0.8951917602608561, 'support': 9868.0} | {'precision': 0.8901390842319112, 'recall': 0.873686632410461, 'f1-score': 0.8818361264852731, 'support': 13039.0}  | 0.8345   | {'precision': 0.7768456494193653, 'recall': 0.7962987848036388, 'f1-score': 0.7856451928403785, 'support': 29334.0} | {'precision': 0.8407065761389229, 'recall': 0.8344583077657326, 'f1-score': 0.8370693701765644, 'support': 29334.0} |
+| 0.3501        | 10.0  | 810  | 0.8529          | {'precision': 0.5611362700699877, 'recall': 0.639605818864383, 'f1-score': 0.5978070175438598, 'support': 4262.0}   | {'precision': 0.8085327783558793, 'recall': 0.7177829099307159, 'f1-score': 0.760459995106435, 'support': 2165.0}  | {'precision': 0.9375900676199977, 'recall': 0.8571139035265505, 'f1-score': 0.8955476732489809, 'support': 9868.0} | {'precision': 0.8664006502623217, 'recall': 0.8992254007209142, 'f1-score': 0.8825079030558481, 'support': 13039.0} | 0.8339   | {'precision': 0.7934149415770466, 'recall': 0.7784320082606409, 'f1-score': 0.7840806472387809, 'support': 29334.0} | {'precision': 0.8417254078619799, 'recall': 0.8339469557510056, 'f1-score': 0.8365219331064127, 'support': 29334.0} |
+| 0.3501        | 11.0  | 891  | 0.8182          | {'precision': 0.5611759619541721, 'recall': 0.6091037071797278, 'f1-score': 0.5841584158415842, 'support': 4262.0}  | {'precision': 0.745115856428896, 'recall': 0.7575057736720554, 'f1-score': 0.7512597343105818, 'support': 2165.0}  | {'precision': 0.9214115609439273, 'recall': 0.8625861370085124, 'f1-score': 0.8910289961268711, 'support': 9868.0} | {'precision': 0.8729369206420982, 'recall': 0.8883349950149552, 'f1-score': 0.8805686483199028, 'support': 13039.0} | 0.8294   | {'precision': 0.7751600749922735, 'recall': 0.7793826532188127, 'f1-score': 0.776753948649735, 'support': 29334.0}  | {'precision': 0.8345135873274777, 'recall': 0.8294470580214086, 'f1-score': 0.8314777811523291, 'support': 29334.0} |
+| 0.3501        | 12.0  | 972  | 0.8319          | {'precision': 0.5907553551296505, 'recall': 0.6147348662599719, 'f1-score': 0.6025066114752213, 'support': 4262.0}  | {'precision': 0.7414772727272727, 'recall': 0.7233256351039261, 'f1-score': 0.7322889876081365, 'support': 2165.0} | {'precision': 0.9154129405576013, 'recall': 0.881738954195379, 'f1-score': 0.8982604655964487, 'support': 9868.0}  | {'precision': 0.8792350549616021, 'recall': 0.8956208298182375, 'f1-score': 0.8873523042437597, 'support': 13039.0} | 0.8374   | {'precision': 0.7817201558440317, 'recall': 0.7788550713443787, 'f1-score': 0.7801020922308914, 'support': 29334.0} | {'precision': 0.8393242789283376, 'recall': 0.8374241494511488, 'f1-score': 0.838191511754931, 'support': 29334.0}  |
+| 0.0592        | 13.0  | 1053 | 0.8901          | {'precision': 0.5857348703170029, 'recall': 0.5722665415297982, 'f1-score': 0.5789223830999287, 'support': 4262.0}  | {'precision': 0.765908035299582, 'recall': 0.7616628175519631, 'f1-score': 0.7637795275590551, 'support': 2165.0}  | {'precision': 0.9286720867208672, 'recall': 0.8681597081475476, 'f1-score': 0.8973969517624261, 'support': 9868.0} | {'precision': 0.8617314385150812, 'recall': 0.9114962803896004, 'f1-score': 0.8859155454511572, 'support': 13039.0} | 0.8366   | {'precision': 0.7855116077131332, 'recall': 0.7783963369047273, 'f1-score': 0.7815036019681417, 'support': 29334.0} | {'precision': 0.8370779741008496, 'recall': 0.8365718960932707, 'f1-score': 0.8361599437876358, 'support': 29334.0} |
+| 0.0592        | 14.0  | 1134 | 1.0014          | {'precision': 0.5823915900131406, 'recall': 0.5199436884091976, 'f1-score': 0.5493987851741663, 'support': 4262.0}  | {'precision': 0.7580798479087453, 'recall': 0.7367205542725174, 'f1-score': 0.7472475989693137, 'support': 2165.0} | {'precision': 0.9203320396722725, 'recall': 0.8651195784353466, 'f1-score': 0.8918721270371919, 'support': 9868.0} | {'precision': 0.8481164746625203, 'recall': 0.9203159751514687, 'f1-score': 0.8827423863469177, 'support': 13039.0} | 0.8300   | {'precision': 0.7772299880641695, 'recall': 0.7605249490671326, 'f1-score': 0.7678152243818974, 'support': 29334.0} | {'precision': 0.8271569887491997, 'recall': 0.8300265903047658, 'f1-score': 0.8273812231322469, 'support': 29334.0} |
+| 0.0592        | 15.0  | 1215 | 0.9525          | {'precision': 0.5900047370914259, 'recall': 0.5844673862036602, 'f1-score': 0.5872230080150872, 'support': 4262.0}  | {'precision': 0.787819253438114, 'recall': 0.7408775981524249, 'f1-score': 0.7636277076886455, 'support': 2165.0}  | {'precision': 0.9236014917421417, 'recall': 0.8783948115119579, 'f1-score': 0.9004311016464966, 'support': 9868.0} | {'precision': 0.8681615659922577, 'recall': 0.9115729733875297, 'f1-score': 0.889337822671156, 'support': 13039.0}  | 0.8403   | {'precision': 0.7923967620659849, 'recall': 0.7788281923138932, 'f1-score': 0.7851549100053463, 'support': 29334.0} | {'precision': 0.8404679570689874, 'recall': 0.8402877207336197, 'f1-score': 0.8398966533088925, 'support': 29334.0} |
+| 0.0592        | 16.0  | 1296 | 0.9606          | {'precision': 0.5905569007263922, 'recall': 0.5722665415297982, 'f1-score': 0.5812678741658723, 'support': 4262.0}  | {'precision': 0.6997189883580891, 'recall': 0.805080831408776, 'f1-score': 0.7487113402061856, 'support': 2165.0}  | {'precision': 0.9022900763358779, 'recall': 0.8983583299554114, 'f1-score': 0.900319910628142, 'support': 9868.0}  | {'precision': 0.8913718187461204, 'recall': 0.8810491602116727, 'f1-score': 0.8861804296679139, 'support': 13039.0} | 0.8364   | {'precision': 0.77098444604162, 'recall': 0.7891887157764146, 'f1-score': 0.7791198886670285, 'support': 29334.0}   | {'precision': 0.8371937253222967, 'recall': 0.8364014454216949, 'f1-score': 0.8364896444998899, 'support': 29334.0} |
+| 0.0592        | 17.0  | 1377 | 1.0477          | {'precision': 0.5815651380333106, 'recall': 0.5980760206475833, 'f1-score': 0.589705031810295, 'support': 4262.0}   | {'precision': 0.7966360856269113, 'recall': 0.7219399538106236, 'f1-score': 0.7574509328810274, 'support': 2165.0} | {'precision': 0.917960088691796, 'recall': 0.8810295905958654, 'f1-score': 0.8991157764103624, 'support': 9868.0}  | {'precision': 0.8738718745376535, 'recall': 0.9059743845386916, 'f1-score': 0.889633618255074, 'support': 13039.0}  | 0.8393   | {'precision': 0.7925082967224177, 'recall': 0.7767549873981909, 'f1-score': 0.7839763398391897, 'support': 29334.0} | {'precision': 0.8405329403077433, 'recall': 0.8392650167041659, 'f1-score': 0.8394903983537285, 'support': 29334.0} |
+| 0.0592        | 18.0  | 1458 | 1.0223          | {'precision': 0.5735161870503597, 'recall': 0.5985452839042703, 'f1-score': 0.5857634902411022, 'support': 4262.0}  | {'precision': 0.7626000942063118, 'recall': 0.7478060046189376, 'f1-score': 0.7551305970149254, 'support': 2165.0} | {'precision': 0.9284857734656056, 'recall': 0.8630928252938792, 'f1-score': 0.8945958720655428, 'support': 9868.0} | {'precision': 0.8720382634289919, 'recall': 0.9088887184600046, 'f1-score': 0.8900822411656465, 'support': 13039.0} | 0.8365   | {'precision': 0.7841600795378172, 'recall': 0.7795832080692728, 'f1-score': 0.7813930501218043, 'support': 29334.0} | {'precision': 0.8395772728770206, 'recall': 0.8365037158246403, 'f1-score': 0.83742538167473, 'support': 29334.0}   |
+| 0.0221        | 19.0  | 1539 | 1.0659          | {'precision': 0.5930577757478876, 'recall': 0.6093383388080713, 'f1-score': 0.6010878370558963, 'support': 4262.0}  | {'precision': 0.6994195688225538, 'recall': 0.7792147806004619, 'f1-score': 0.7371640812759448, 'support': 2165.0} | {'precision': 0.922713610991842, 'recall': 0.8710985002026753, 'f1-score': 0.896163469557965, 'support': 9868.0}   | {'precision': 0.8897709231118167, 'recall': 0.9025998926298029, 'f1-score': 0.8961394959262925, 'support': 13039.0} | 0.8403   | {'precision': 0.776240469668525, 'recall': 0.7905628780602528, 'f1-score': 0.7826387209540246, 'support': 29334.0}  | {'precision': 0.8436938905863776, 'recall': 0.8402877207336197, 'f1-score': 0.8415456672283212, 'support': 29334.0} |
+| 0.0221        | 20.0  | 1620 | 1.1141          | {'precision': 0.5949911459650898, 'recall': 0.5518535898639136, 'f1-score': 0.5726110772976263, 'support': 4262.0}  | {'precision': 0.8097686375321337, 'recall': 0.7274826789838337, 'f1-score': 0.7664233576642335, 'support': 2165.0} | {'precision': 0.9140376879102265, 'recall': 0.8749493311714633, 'f1-score': 0.8940664802733769, 'support': 9868.0} | {'precision': 0.8566118656182988, 'recall': 0.9190888871846, 'f1-score': 0.8867512671574975, 'support': 13039.0}    | 0.8367   | {'precision': 0.7938523342564372, 'recall': 0.7683436218009527, 'f1-score': 0.7799630455981834, 'support': 29334.0} | {'precision': 0.8344612867135542, 'recall': 0.8367423467648463, 'f1-score': 0.8346891927657273, 'support': 29334.0} |
+| 0.0221        | 21.0  | 1701 | 1.0835          | {'precision': 0.5811926605504587, 'recall': 0.5945565462224308, 'f1-score': 0.5877986546045001, 'support': 4262.0}  | {'precision': 0.8357461024498887, 'recall': 0.6933025404157044, 'f1-score': 0.7578894218631658, 'support': 2165.0} | {'precision': 0.9177489177489178, 'recall': 0.8808269152817186, 'f1-score': 0.8989089404829618, 'support': 9868.0} | {'precision': 0.8672211278908587, 'recall': 0.911649666385459, 'f1-score': 0.8888805802736859, 'support': 13039.0}  | 0.8391   | {'precision': 0.8004772021600309, 'recall': 0.7700839170763282, 'f1-score': 0.7833693993060784, 'support': 29334.0} | {'precision': 0.8403380390667924, 'recall': 0.8390945660325901, 'f1-score': 0.8388414732096745, 'support': 29334.0} |
+| 0.0221        | 22.0  | 1782 | 1.0930          | {'precision': 0.6045955002393489, 'recall': 0.5926794931956828, 'f1-score': 0.5985781990521326, 'support': 4262.0}  | {'precision': 0.7659963436928702, 'recall': 0.7741339491916859, 'f1-score': 0.7700436480588099, 'support': 2165.0} | {'precision': 0.9202473276042759, 'recall': 0.8898459667612485, 'f1-score': 0.9047913446676972, 'support': 9868.0} | {'precision': 0.8782213615373157, 'recall': 0.9042871385842473, 'f1-score': 0.8910636689967883, 'support': 13039.0} | 0.8445   | {'precision': 0.7922651332684526, 'recall': 0.7902366369332161, 'f1-score': 0.7911192151938571, 'support': 29334.0} | {'precision': 0.8443204836707991, 'recall': 0.8445489875230109, 'f1-score': 0.8442539357618283, 'support': 29334.0} |
+| 0.0221        | 23.0  | 1863 | 1.1053          | {'precision': 0.6242860690340204, 'recall': 0.5898639136555608, 'f1-score': 0.6065870430691278, 'support': 4262.0}  | {'precision': 0.7682088868529546, 'recall': 0.77459584295612, 'f1-score': 0.7713891444342226, 'support': 2165.0}   | {'precision': 0.916354556803995, 'recall': 0.8925820835022295, 'f1-score': 0.9043121149897331, 'support': 9868.0}  | {'precision': 0.8755180580224985, 'recall': 0.9072781655034895, 'f1-score': 0.8911152122330608, 'support': 13039.0} | 0.8464   | {'precision': 0.7960918926783671, 'recall': 0.79108000140435, 'f1-score': 0.793350878681536, 'support': 29334.0}    | {'precision': 0.8448335103073846, 'recall': 0.8464239449103429, 'f1-score': 0.8453785599743056, 'support': 29334.0} |
+| 0.0221        | 24.0  | 1944 | 1.1296          | {'precision': 0.5723617064707083, 'recall': 0.657907085875176, 'f1-score': 0.612160244514791, 'support': 4262.0}    | {'precision': 0.74928092042186, 'recall': 0.7219399538106236, 'f1-score': 0.7353563867325336, 'support': 2165.0}   | {'precision': 0.9411369740376008, 'recall': 0.8522496959870288, 'f1-score': 0.8944905339289514, 'support': 9868.0} | {'precision': 0.8760158055617684, 'recall': 0.9011427256691464, 'f1-score': 0.888401633146832, 'support': 13039.0}  | 0.8361   | {'precision': 0.7846988516229843, 'recall': 0.7833098653354937, 'f1-score': 0.7826021995807769, 'support': 29334.0} | {'precision': 0.8444504170660131, 'recall': 0.8361287243471739, 'f1-score': 0.8390187162613489, 'support': 29334.0} |
+| 0.0121        | 25.0  | 2025 | 1.1851          | {'precision': 0.5420016077170418, 'recall': 0.6328015016424214, 'f1-score': 0.5838926174496645, 'support': 4262.0}  | {'precision': 0.7453046266605589, 'recall': 0.751501154734411, 'f1-score': 0.7483900643974242, 'support': 2165.0}  | {'precision': 0.9215119391797837, 'recall': 0.872111876773409, 'f1-score': 0.8961316186806892, 'support': 9868.0}  | {'precision': 0.8868806481770022, 'recall': 0.8730730884270266, 'f1-score': 0.8799227053140096, 'support': 13039.0} | 0.8289   | {'precision': 0.7739247054335967, 'recall': 0.782371905394317, 'f1-score': 0.7770842514604469, 'support': 29334.0}  | {'precision': 0.8379734082026378, 'recall': 0.8288675257380514, 'f1-score': 0.8326567734615568, 'support': 29334.0} |
+| 0.0121        | 26.0  | 2106 | 1.1608          | {'precision': 0.5844748858447488, 'recall': 0.5706241201313937, 'f1-score': 0.5774664608809212, 'support': 4262.0}  | {'precision': 0.7811717576364546, 'recall': 0.7205542725173211, 'f1-score': 0.7496395963479097, 'support': 2165.0} | {'precision': 0.9070486397361912, 'recall': 0.8919740575597892, 'f1-score': 0.8994481912936848, 'support': 9868.0} | {'precision': 0.8734412114014252, 'recall': 0.9024465066339443, 'f1-score': 0.887706989551507, 'support': 13039.0}  | 0.8373   | {'precision': 0.786534123654705, 'recall': 0.7713997392106121, 'f1-score': 0.7785653095185057, 'support': 29334.0}  | {'precision': 0.8359522994181892, 'recall': 0.8372877889138883, 'f1-score': 0.8363911492062416, 'support': 29334.0} |
+| 0.0121        | 27.0  | 2187 | 1.2414          | {'precision': 0.5587455830388692, 'recall': 0.5936180197090568, 'f1-score': 0.5756541524459613, 'support': 4262.0}  | {'precision': 0.7639377197388247, 'recall': 0.702540415704388, 'f1-score': 0.7319538017324351, 'support': 2165.0}  | {'precision': 0.934953934953935, 'recall': 0.8535670855289825, 'f1-score': 0.8924087513905812, 'support': 9868.0}  | {'precision': 0.8628857018687527, 'recall': 0.9136436843316206, 'f1-score': 0.8875395790650028, 'support': 13039.0} | 0.8314   | {'precision': 0.7801307349000954, 'recall': 0.7658423013185119, 'f1-score': 0.771889071158495, 'support': 29334.0}  | {'precision': 0.8356375173838656, 'recall': 0.8313561055430558, 'f1-score': 0.832380040520428, 'support': 29334.0}  |
+| 0.0121        | 28.0  | 2268 | 1.1803          | {'precision': 0.5745489078822412, 'recall': 0.5678085405912717, 'f1-score': 0.5711588388010385, 'support': 4262.0}  | {'precision': 0.759923481587757, 'recall': 0.7339491916859122, 'f1-score': 0.7467105263157894, 'support': 2165.0}  | {'precision': 0.9240980623059629, 'recall': 0.8747466558573166, 'f1-score': 0.8987453797698997, 'support': 9868.0} | {'precision': 0.8636230825420015, 'recall': 0.9067413145179845, 'f1-score': 0.8846571139960342, 'support': 13039.0} | 0.8340   | {'precision': 0.7805483835794906, 'recall': 0.7708114256631212, 'f1-score': 0.7753179647206904, 'support': 29334.0} | {'precision': 0.834313180443581, 'recall': 0.8339810458853207, 'f1-score': 0.8336664204475138, 'support': 29334.0}  |
+| 0.0121        | 29.0  | 2349 | 1.1596          | {'precision': 0.577922077922078, 'recall': 0.6055842327545753, 'f1-score': 0.5914298808432631, 'support': 4262.0}   | {'precision': 0.7678825201326386, 'recall': 0.748729792147806, 'f1-score': 0.7581852198316185, 'support': 2165.0}  | {'precision': 0.9200716090985678, 'recall': 0.8853871098500202, 'f1-score': 0.9023961991324106, 'support': 9868.0} | {'precision': 0.8802503581931981, 'recall': 0.8952373648285912, 'f1-score': 0.887680608365019, 'support': 13039.0}  | 0.8390   | {'precision': 0.7865316413366206, 'recall': 0.7837346248952481, 'f1-score': 0.7849229770430779, 'support': 29334.0} | {'precision': 0.841427033860259, 'recall': 0.8390263857639599, 'f1-score': 0.8400306231199138, 'support': 29334.0}  |
+| 0.0121        | 30.0  | 2430 | 1.1079          | {'precision': 0.5908226343319068, 'recall': 0.5830595964335993, 'f1-score': 0.5869154463863959, 'support': 4262.0}  | {'precision': 0.7353747714808044, 'recall': 0.7431870669745958, 'f1-score': 0.7392602802664829, 'support': 2165.0} | {'precision': 0.9172500261205726, 'recall': 0.8896432914471017, 'f1-score': 0.903235763156541, 'support': 9868.0}  | {'precision': 0.8796469444236666, 'recall': 0.9019096556484393, 'f1-score': 0.8906392002423507, 'support': 13039.0} | 0.8397   | {'precision': 0.7807735940892376, 'recall': 0.779449902625934, 'f1-score': 0.7800126725129426, 'support': 29334.0}  | {'precision': 0.8396847417289331, 'recall': 0.8397422785845776, 'f1-score': 0.8395754817639772, 'support': 29334.0} |
+| 0.0062        | 31.0  | 2511 | 1.2153          | {'precision': 0.5875237191650854, 'recall': 0.5811825434068513, 'f1-score': 0.5843359282849729, 'support': 4262.0}  | {'precision': 0.7917981072555205, 'recall': 0.6956120092378753, 'f1-score': 0.7405950331940004, 'support': 2165.0} | {'precision': 0.9167449139280125, 'recall': 0.8904539927036887, 'f1-score': 0.9034082146712589, 'support': 9868.0} | {'precision': 0.8704423740004402, 'recall': 0.9099624204310146, 'f1-score': 0.889763779527559, 'support': 13039.0}  | 0.8398   | {'precision': 0.7916272785872646, 'recall': 0.7693027414448574, 'f1-score': 0.7795257389194479, 'support': 29334.0} | {'precision': 0.8391084038495659, 'recall': 0.8398104588532079, 'f1-score': 0.8389680969813661, 'support': 29334.0} |
+| 0.0062        | 32.0  | 2592 | 1.2206          | {'precision': 0.5818530964954393, 'recall': 0.5687470671046457, 'f1-score': 0.5752254390128144, 'support': 4262.0}  | {'precision': 0.7966280295047419, 'recall': 0.6983833718244804, 'f1-score': 0.7442776273689393, 'support': 2165.0} | {'precision': 0.9354697582850268, 'recall': 0.8667409809485205, 'f1-score': 0.89979485560991, 'support': 9868.0}   | {'precision': 0.8528349968146103, 'recall': 0.9239972390520745, 'f1-score': 0.8869910918059338, 'support': 13039.0} | 0.8365   | {'precision': 0.7916964702749545, 'recall': 0.7644671647324303, 'f1-score': 0.7765722534493993, 'support': 29334.0} | {'precision': 0.8371135433068684, 'recall': 0.8364696256903252, 'f1-score': 0.835468206366078, 'support': 29334.0}  |
+| 0.0062        | 33.0  | 2673 | 1.2003          | {'precision': 0.5884494054841058, 'recall': 0.5689816987329892, 'f1-score': 0.5785518310867231, 'support': 4262.0}  | {'precision': 0.8168557536466775, 'recall': 0.6983833718244804, 'f1-score': 0.7529880478087649, 'support': 2165.0} | {'precision': 0.9152016546018614, 'recall': 0.8968382650993109, 'f1-score': 0.9059269116593306, 'support': 9868.0} | {'precision': 0.8656879929886064, 'recall': 0.9090421044558632, 'f1-score': 0.8868355093337323, 'support': 13039.0} | 0.8400   | {'precision': 0.7965487016803128, 'recall': 0.7683113600281608, 'f1-score': 0.7810755749721379, 'support': 29334.0} | {'precision': 0.8384597989025678, 'recall': 0.8399809095247835, 'f1-score': 0.8385880547506103, 'support': 29334.0} |
+| 0.0062        | 34.0  | 2754 | 1.1772          | {'precision': 0.5838150289017341, 'recall': 0.6161426560300328, 'f1-score': 0.5995433789954339, 'support': 4262.0}  | {'precision': 0.7706552706552706, 'recall': 0.7496535796766743, 'f1-score': 0.7600093654881762, 'support': 2165.0} | {'precision': 0.9282564268043455, 'recall': 0.8745439805431698, 'f1-score': 0.9006000521784504, 'support': 9868.0} | {'precision': 0.873967095957716, 'recall': 0.9003757956898535, 'f1-score': 0.8869749168933212, 'support': 13039.0}  | 0.8393   | {'precision': 0.7891734555797665, 'recall': 0.7851790029849326, 'f1-score': 0.7867819283888454, 'support': 29334.0} | {'precision': 0.8424483431528531, 'recall': 0.8392650167041659, 'f1-score': 0.8404261748765735, 'support': 29334.0} |
+| 0.0062        | 35.0  | 2835 | 1.1895          | {'precision': 0.606857679661813, 'recall': 0.6062881276396058, 'f1-score': 0.6065727699530515, 'support': 4262.0}   | {'precision': 0.7335437330928765, 'recall': 0.751501154734411, 'f1-score': 0.7424138717773214, 'support': 2165.0}  | {'precision': 0.9192592592592592, 'recall': 0.8803202269963518, 'f1-score': 0.8993684646443731, 'support': 9868.0} | {'precision': 0.8780578758949881, 'recall': 0.90290666462152, 'f1-score': 0.890308919726245, 'support': 13039.0}    | 0.8410   | {'precision': 0.7844296369772342, 'recall': 0.7852540434979722, 'f1-score': 0.7846660065252478, 'support': 29334.0} | {'precision': 0.8418489339002468, 'recall': 0.8410377036885526, 'f1-score': 0.841216512966489, 'support': 29334.0}  |
+| 0.0062        | 36.0  | 2916 | 1.1666          | {'precision': 0.6117251321480057, 'recall': 0.5973721257625528, 'f1-score': 0.6044634377967711, 'support': 4262.0}  | {'precision': 0.7328311918475853, 'recall': 0.763972286374134, 'f1-score': 0.7480777928539123, 'support': 2165.0}  | {'precision': 0.9175440425310122, 'recall': 0.8919740575597892, 'f1-score': 0.9045783875443194, 'support': 9868.0} | {'precision': 0.8791472751839063, 'recall': 0.8982283917478334, 'f1-score': 0.8885854102651645, 'support': 13039.0} | 0.8425   | {'precision': 0.7853119104276274, 'recall': 0.7878867153610773, 'f1-score': 0.7864262571150419, 'support': 29334.0} | {'precision': 0.8424107853134181, 'recall': 0.842503579464103, 'f1-score': 0.8423145935144672, 'support': 29334.0}  |
+| 0.0062        | 37.0  | 2997 | 1.2146          | {'precision': 0.6104142011834319, 'recall': 0.6051149694978883, 'f1-score': 0.6077530340520797, 'support': 4262.0}  | {'precision': 0.8113879003558719, 'recall': 0.7371824480369515, 'f1-score': 0.7725072604065828, 'support': 2165.0} | {'precision': 0.9233368532206969, 'recall': 0.8860964734495338, 'f1-score': 0.9043334367566449, 'support': 9868.0} | {'precision': 0.8682709186658865, 'recall': 0.9104225784185904, 'f1-score': 0.888847291378084, 'support': 13039.0}  | 0.8451   | {'precision': 0.8033524683564718, 'recall': 0.7847041173507411, 'f1-score': 0.7933602556483479, 'support': 29334.0} | {'precision': 0.845132361961566, 'recall': 0.845094429672053, 'f1-score': 0.8446295710132824, 'support': 29334.0}   |
+| 0.0043        | 38.0  | 3078 | 1.2219          | {'precision': 0.607548995886765, 'recall': 0.5891600187705303, 'f1-score': 0.5982132221560452, 'support': 4262.0}   | {'precision': 0.8046558704453441, 'recall': 0.7344110854503464, 'f1-score': 0.7679304515817436, 'support': 2165.0} | {'precision': 0.9161189358372457, 'recall': 0.8898459667612485, 'f1-score': 0.902791343237547, 'support': 9868.0}  | {'precision': 0.8706011730205279, 'recall': 0.9107293504103076, 'f1-score': 0.8902132763596836, 'support': 13039.0} | 0.8440   | {'precision': 0.7997312437974707, 'recall': 0.7810366053481081, 'f1-score': 0.7897870733337549, 'support': 29334.0} | {'precision': 0.842826894860577, 'recall': 0.8439694552396536, 'f1-score': 0.8429941387477182, 'support': 29334.0}  |
+| 0.0043        | 39.0  | 3159 | 1.2388          | {'precision': 0.5807318585900352, 'recall': 0.6590802440168935, 'f1-score': 0.6174304868666887, 'support': 4262.0}  | {'precision': 0.8076535750251762, 'recall': 0.7408775981524249, 'f1-score': 0.7728258251023848, 'support': 2165.0} | {'precision': 0.9215976331360947, 'recall': 0.8838670449939198, 'f1-score': 0.9023380922822264, 'support': 9868.0} | {'precision': 0.8848011037020005, 'recall': 0.8853439680957128, 'f1-score': 0.8850724526565974, 'support': 13039.0} | 0.8413   | {'precision': 0.7986960426133265, 'recall': 0.7922922138147377, 'f1-score': 0.7944167142269745, 'support': 29334.0} | {'precision': 0.8473067500578716, 'recall': 0.8413104247630736, 'f1-score': 0.8437099833368404, 'support': 29334.0} |
+| 0.0043        | 40.0  | 3240 | 1.2564          | {'precision': 0.6038774533269506, 'recall': 0.5919755983106523, 'f1-score': 0.597867298578199, 'support': 4262.0}   | {'precision': 0.8135162601626016, 'recall': 0.7394919168591224, 'f1-score': 0.7747398983789014, 'support': 2165.0} | {'precision': 0.9209081309398099, 'recall': 0.8837657073368463, 'f1-score': 0.9019547005895129, 'support': 9868.0} | {'precision': 0.8650677941390873, 'recall': 0.9101158064268732, 'f1-score': 0.8870202190081099, 'support': 13039.0} | 0.8424   | {'precision': 0.8008424096421124, 'recall': 0.7813372572333735, 'f1-score': 0.7903955291386808, 'support': 29334.0} | {'precision': 0.8420988891124668, 'recall': 0.8424353991954728, 'f1-score': 0.8417456851297015, 'support': 29334.0} |
+| 0.0043        | 41.0  | 3321 | 1.2344          | {'precision': 0.6037467393881907, 'recall': 0.5973721257625528, 'f1-score': 0.6005425168062271, 'support': 4262.0}  | {'precision': 0.8185071574642127, 'recall': 0.7394919168591224, 'f1-score': 0.7769958747876727, 'support': 2165.0} | {'precision': 0.9191644908616188, 'recall': 0.8918727199027159, 'f1-score': 0.9053129661060536, 'support': 9868.0} | {'precision': 0.8714853525688209, 'recall': 0.9080450954827824, 'f1-score': 0.8893896713615024, 'support': 13039.0} | 0.8450   | {'precision': 0.8032259350707107, 'recall': 0.7841954645017934, 'f1-score': 0.793060257265364, 'support': 29334.0}  | {'precision': 0.8447143010550829, 'recall': 0.8450262494034226, 'f1-score': 0.8444838259344317, 'support': 29334.0} |
+| 0.0043        | 42.0  | 3402 | 1.2454          | {'precision': 0.607732085693179, 'recall': 0.5790708587517598, 'f1-score': 0.5930553886819657, 'support': 4262.0}   | {'precision': 0.8161802355350742, 'recall': 0.7362586605080832, 'f1-score': 0.7741622146673143, 'support': 2165.0} | {'precision': 0.9137449581135588, 'recall': 0.8953182002432104, 'f1-score': 0.9044377335312486, 'support': 9868.0} | {'precision': 0.869606622225478, 'recall': 0.9104225784185904, 'f1-score': 0.8895466466841514, 'support': 13039.0}  | 0.8443   | {'precision': 0.8018159753918225, 'recall': 0.780267574480411, 'f1-score': 0.79030049589117, 'support': 29334.0}    | {'precision': 0.8424633651401231, 'recall': 0.8443444467171201, 'f1-score': 0.8429622125151117, 'support': 29334.0} |
+| 0.0043        | 43.0  | 3483 | 1.2396          | {'precision': 0.5977417078334509, 'recall': 0.5961989676208352, 'f1-score': 0.5969693410078702, 'support': 4262.0}  | {'precision': 0.8070805541303232, 'recall': 0.7265588914549653, 'f1-score': 0.764705882352941, 'support': 2165.0}  | {'precision': 0.9202486304256215, 'recall': 0.8851844345358735, 'f1-score': 0.9023760330578511, 'support': 9868.0} | {'precision': 0.8693739920832723, 'recall': 0.9095789554413682, 'f1-score': 0.8890221505940558, 'support': 13039.0} | 0.8423   | {'precision': 0.798611221118167, 'recall': 0.7793803122632605, 'f1-score': 0.7882683517531794, 'support': 29334.0}  | {'precision': 0.8424246787445332, 'recall': 0.8423331287925274, 'f1-score': 0.8419062549424022, 'support': 29334.0} |
+| 0.0034        | 44.0  | 3564 | 1.2523          | {'precision': 0.6167139540882125, 'recall': 0.5610042233693102, 'f1-score': 0.5875414670106893, 'support': 4262.0}  | {'precision': 0.8153061224489796, 'recall': 0.7381062355658199, 'f1-score': 0.7747878787878788, 'support': 2165.0} | {'precision': 0.9169854233433268, 'recall': 0.8988650182407782, 'f1-score': 0.9078348088634154, 'support': 9868.0} | {'precision': 0.8653067129629629, 'recall': 0.9174016412301557, 'f1-score': 0.8905930089714477, 'support': 13039.0} | 0.8462   | {'precision': 0.8035780532108705, 'recall': 0.7788442796015159, 'f1-score': 0.7901892909083578, 'support': 29334.0} | {'precision': 0.8428826281892011, 'recall': 0.8461512238358219, 'f1-score': 0.8438151506040159, 'support': 29334.0} |
+| 0.0034        | 45.0  | 3645 | 1.2569          | {'precision': 0.5956501403180543, 'recall': 0.5976067573908963, 'f1-score': 0.5966268446943078, 'support': 4262.0}  | {'precision': 0.8109375, 'recall': 0.7191685912240184, 'f1-score': 0.7623011015911872, 'support': 2165.0}          | {'precision': 0.9264893617021277, 'recall': 0.882549655451966, 'f1-score': 0.9039858833298734, 'support': 9868.0}  | {'precision': 0.8643907410103363, 'recall': 0.9107293504103076, 'f1-score': 0.8869552227658065, 'support': 13039.0} | 0.8416   | {'precision': 0.7993669357576295, 'recall': 0.777513588619297, 'f1-score': 0.7874672630952938, 'support': 29334.0}  | {'precision': 0.8422897824656003, 'recall': 0.8416172359719097, 'f1-score': 0.8413018116647781, 'support': 29334.0} |
+| 0.0034        | 46.0  | 3726 | 1.2538          | {'precision': 0.5921505623135185, 'recall': 0.6053496011262318, 'f1-score': 0.5986773407587886, 'support': 4262.0}  | {'precision': 0.8124022928608651, 'recall': 0.7200923787528868, 'f1-score': 0.7634671890303624, 'support': 2165.0} | {'precision': 0.9249020230907743, 'recall': 0.8848804215646534, 'f1-score': 0.9044487026775078, 'support': 9868.0} | {'precision': 0.8677388558419622, 'recall': 0.9062044635324795, 'f1-score': 0.8865546218487395, 'support': 13039.0} | 0.8416   | {'precision': 0.79929843352678, 'recall': 0.779131716244063, 'f1-score': 0.7882869635788495, 'support': 29334.0}    | {'precision': 0.8428436887504975, 'recall': 0.8415831458375946, 'f1-score': 0.8416634213837886, 'support': 29334.0} |
+| 0.0034        | 47.0  | 3807 | 1.2729          | {'precision': 0.5972959922742637, 'recall': 0.5804786485218207, 'f1-score': 0.5887672536887196, 'support': 4262.0}  | {'precision': 0.8081907724209435, 'recall': 0.7200923787528868, 'f1-score': 0.7616023448949681, 'support': 2165.0} | {'precision': 0.9219409282700421, 'recall': 0.8856911228212404, 'f1-score': 0.9034525532354765, 'support': 9868.0} | {'precision': 0.8636000870637742, 'recall': 0.9128767543523276, 'f1-score': 0.8875549921706063, 'support': 13039.0} | 0.8412   | {'precision': 0.7977569450072559, 'recall': 0.7747847261120688, 'f1-score': 0.7853442859974425, 'support': 29334.0} | {'precision': 0.8404446429657594, 'recall': 0.8412081543601282, 'f1-score': 0.8401954881761488, 'support': 29334.0} |
+| 0.0034        | 48.0  | 3888 | 1.2605          | {'precision': 0.5967088003815884, 'recall': 0.5870483341154388, 'f1-score': 0.5918391484328799, 'support': 4262.0}  | {'precision': 0.8079877112135176, 'recall': 0.7288683602771363, 'f1-score': 0.7663914521612433, 'support': 2165.0} | {'precision': 0.9202300052273915, 'recall': 0.8919740575597892, 'f1-score': 0.9058817475428395, 'support': 9868.0} | {'precision': 0.8690449974308155, 'recall': 0.9079684024848531, 'f1-score': 0.8880804140724626, 'support': 13039.0} | 0.8427   | {'precision': 0.7984928785633282, 'recall': 0.7789647886093043, 'f1-score': 0.7880481905523563, 'support': 29334.0} | {'precision': 0.8421890541722198, 'recall': 0.842742210404309, 'f1-score': 0.8420460062860028, 'support': 29334.0}  |
+| 0.0034        | 49.0  | 3969 | 1.2654          | {'precision': 0.5976983936705826, 'recall': 0.5849366494603473, 'f1-score': 0.5912486659551762, 'support': 4262.0}  | {'precision': 0.8090117767537123, 'recall': 0.7297921478060047, 'f1-score': 0.7673627974745022, 'support': 2165.0} | {'precision': 0.9196736743018513, 'recall': 0.8910620186461289, 'f1-score': 0.9051417983426837, 'support': 9868.0} | {'precision': 0.8682687376364568, 'recall': 0.9088887184600046, 'f1-score': 0.8881145083932854, 'support': 13039.0} | 0.8426   | {'precision': 0.7986631455906508, 'recall': 0.7786698835931214, 'f1-score': 0.787966942541412, 'support': 29334.0}  | {'precision': 0.841876216627403, 'recall': 0.8426058498670485, 'f1-score': 0.8417981390815746, 'support': 29334.0}  |
+| 0.0031        | 50.0  | 4050 | 1.2704          | {'precision': 0.5972354623450906, 'recall': 0.5879868606288128, 'f1-score': 0.5925750768503193, 'support': 4262.0}  | {'precision': 0.8091328886608518, 'recall': 0.7284064665127021, 'f1-score': 0.7666504618376278, 'support': 2165.0} | {'precision': 0.9211161229413616, 'recall': 0.8898459667612485, 'f1-score': 0.9052110715942477, 'support': 9868.0} | {'precision': 0.8676039835969537, 'recall': 0.9086586394662167, 'f1-score': 0.8876568645813823, 'support': 13039.0} | 0.8424   | {'precision': 0.7987721143860643, 'recall': 0.7787244833422451, 'f1-score': 0.7880233687158943, 'support': 29334.0} | {'precision': 0.8420076528182845, 'recall': 0.8424353991954728, 'f1-score': 0.8417581625139158, 'support': 29334.0} |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2