Theoreticallyhugo
/

longformer-sep_tok

@@ -17,12 +17,12 @@ model-index:
       name: essays_su_g
       type: essays_su_g
       config: sep_tok
-      split: train[20%:40%]
       args: sep_tok
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9246926072425107
 ---
 <!-- 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: 0.7212
-- Claim: {'precision': 0.7261961155850308, 'recall': 0.7041800643086816, 'f1-score': 0.715018656716418, 'support': 4354.0}
-- Majorclaim: {'precision': 0.9431380932022232, 'recall': 0.9391230310770541, 'f1-score': 0.9411262798634812, 'support': 2349.0}
-- O: {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}
-- Premise: {'precision': 0.9136578869488015, 'recall': 0.9233587557948257, 'f1-score': 0.9184827073261436, 'support': 13374.0}
-- Accuracy: 0.9247
-- Macro avg: {'precision': 0.8957480239340139, 'recall': 0.8916654627951404, 'f1-score': 0.8936569109765107, 'support': 32613.0}
-- Weighted avg: {'precision': 0.923942901549766, 'recall': 0.9246926072425107, 'f1-score': 0.9242843219121959, 'support': 32613.0}
 ## Model description
@@ -68,58 +68,58 @@ The following hyperparameters were used during training:
 ### Training results
-| Training Loss | Epoch | Step | Validation Loss | Claim                                                                                                               | Majorclaim                                                                                                         | O                                                                                                                   | Premise                                                                                                             | Accuracy | Macro avg                                                                                                           | Weighted avg                                                                                                        |
-|:-------------:|:-----:|:----:|:---------------:|:-------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:--------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|
-| No log        | 1.0   | 81   | 0.2755          | {'precision': 0.6588785046728972, 'recall': 0.3562241616903996, 'f1-score': 0.46243291592128805, 'support': 4354.0} | {'precision': 0.8096955128205128, 'recall': 0.8603661132396765, 'f1-score': 0.8342621259029929, 'support': 2349.0} | {'precision': 0.9987253027405991, 'recall': 1.0, 'f1-score': 0.9993622448979592, 'support': 12536.0}                | {'precision': 0.8401157057392676, 'recall': 0.955510692388216, 'f1-score': 0.8941052999825083, 'support': 13374.0}  | 0.8858   | {'precision': 0.8268537564933192, 'recall': 0.793025241829573, 'f1-score': 0.7975406466761871, 'support': 32613.0}  | {'precision': 0.8746959682542021, 'recall': 0.8857510808573268, 'f1-score': 0.8726239240080429, 'support': 32613.0} |
-| No log        | 2.0   | 162  | 0.2518          | {'precision': 0.5518482172064115, 'recall': 0.77491961414791, 'f1-score': 0.6446312571646924, 'support': 4354.0}    | {'precision': 0.9019180470793374, 'recall': 0.8808003405704555, 'f1-score': 0.8912341158733577, 'support': 2349.0} | {'precision': 0.9999202106439001, 'recall': 0.9996809189534142, 'f1-score': 0.9998005504806733, 'support': 12536.0} | {'precision': 0.9324023303632625, 'recall': 0.8137430835950351, 'f1-score': 0.8690409646250897, 'support': 13374.0} | 0.8849   | {'precision': 0.8465222013232279, 'recall': 0.8672859893167036, 'f1-score': 0.8511767220359533, 'support': 32613.0} | {'precision': 0.9053537287957648, 'recall': 0.8848618649004998, 'f1-score': 0.8909418634778542, 'support': 32613.0} |
-| No log        | 3.0   | 243  | 0.2378          | {'precision': 0.6576186131386861, 'recall': 0.6621497473587505, 'f1-score': 0.6598764019226366, 'support': 4354.0}  | {'precision': 0.8661233993015134, 'recall': 0.9501915708812261, 'f1-score': 0.9062119366626066, 'support': 2349.0} | {'precision': 0.9997607273887382, 'recall': 0.9999202297383536, 'f1-score': 0.9998404722022812, 'support': 12536.0} | {'precision': 0.9097148086014946, 'recall': 0.8920293106026619, 'f1-score': 0.9007852612503775, 'support': 13374.0} | 0.9070   | {'precision': 0.8583043871076081, 'recall': 0.876072714645248, 'f1-score': 0.8666785180094754, 'support': 32613.0}  | {'precision': 0.9075314026721463, 'recall': 0.9070002759635728, 'f1-score': 0.907089072967282, 'support': 32613.0}  |
-| No log        | 4.0   | 324  | 0.2598          | {'precision': 0.696838347781744, 'recall': 0.6276986678915939, 'f1-score': 0.6604639922667954, 'support': 4354.0}   | {'precision': 0.9028239202657807, 'recall': 0.9255002128565347, 'f1-score': 0.9140214420853479, 'support': 2349.0} | {'precision': 0.9991230867346939, 'recall': 0.9997606892150607, 'f1-score': 0.9994417862838917, 'support': 12536.0} | {'precision': 0.8963534463934785, 'recall': 0.9208165096455809, 'f1-score': 0.9084203149780549, 'support': 13374.0} | 0.9124   | {'precision': 0.8737847002939243, 'recall': 0.8684440199021926, 'f1-score': 0.8705868839035225, 'support': 32613.0} | {'precision': 0.9096864919608297, 'recall': 0.912366234323736, 'f1-score': 0.9107077581074873, 'support': 32613.0}  |
-| No log        | 5.0   | 405  | 0.3166          | {'precision': 0.6440713536201469, 'recall': 0.7048690858980248, 'f1-score': 0.6731001206272618, 'support': 4354.0}  | {'precision': 0.8606885508406725, 'recall': 0.9152830991911451, 'f1-score': 0.8871466886734063, 'support': 2349.0} | {'precision': 1.0, 'recall': 0.9996011486917677, 'f1-score': 0.9998005345673595, 'support': 12536.0}                | {'precision': 0.9234729698104376, 'recall': 0.8851502916105877, 'f1-score': 0.9039056236399038, 'support': 13374.0} | 0.9072   | {'precision': 0.8570582185678143, 'recall': 0.8762259063478812, 'f1-score': 0.8659882418769828, 'support': 32613.0} | {'precision': 0.9110652677714914, 'recall': 0.9072455769171802, 'f1-score': 0.9087455557232214, 'support': 32613.0} |
-| No log        | 6.0   | 486  | 0.3218          | {'precision': 0.7171775592828225, 'recall': 0.5695911805236564, 'f1-score': 0.634920634920635, 'support': 4354.0}   | {'precision': 0.8666925767586475, 'recall': 0.9493401447424435, 'f1-score': 0.9061357171881348, 'support': 2349.0} | {'precision': 0.9997607273887382, 'recall': 0.9999202297383536, 'f1-score': 0.9998404722022812, 'support': 12536.0} | {'precision': 0.8879236684705212, 'recall': 0.9324061612083147, 'f1-score': 0.9096214165876431, 'support': 13374.0} | 0.9111   | {'precision': 0.8678886329751823, 'recall': 0.8628144290531921, 'f1-score': 0.8626295602246735, 'support': 32613.0} | {'precision': 0.9065876667768511, 'recall': 0.9111397295556987, 'f1-score': 0.907375409471386, 'support': 32613.0}  |
-| 0.2088        | 7.0   | 567  | 0.4053          | {'precision': 0.7008142894667717, 'recall': 0.6127698667891593, 'f1-score': 0.6538414409998775, 'support': 4354.0}  | {'precision': 0.9254629629629629, 'recall': 0.8510004257130694, 'f1-score': 0.8866711022399646, 'support': 2349.0} | {'precision': 0.9998404722022812, 'recall': 0.9999202297383536, 'f1-score': 0.999880349379811, 'support': 12536.0}  | {'precision': 0.8890070167977886, 'recall': 0.9378645132346344, 'f1-score': 0.9127824473310774, 'support': 13374.0} | 0.9121   | {'precision': 0.8787811853574512, 'recall': 0.8503887588688042, 'f1-score': 0.8632938349876826, 'support': 32613.0} | {'precision': 0.9091110268457285, 'recall': 0.9120596081317266, 'f1-score': 0.909811074225195, 'support': 32613.0}  |
-| 0.2088        | 8.0   | 648  | 0.4514          | {'precision': 0.6421164021164021, 'recall': 0.6968305006890216, 'f1-score': 0.668355545764952, 'support': 4354.0}   | {'precision': 0.8676236044657097, 'recall': 0.9263516389953171, 'f1-score': 0.8960263537162857, 'support': 2349.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | {'precision': 0.9198069137340392, 'recall': 0.8833557649170032, 'f1-score': 0.9012129071630178, 'support': 13374.0} | 0.9064   | {'precision': 0.8573867300790377, 'recall': 0.8766344761503355, 'f1-score': 0.8663987016610639, 'support': 32613.0} | {'precision': 0.9098003963445191, 'recall': 0.9063870235795541, 'f1-score': 0.9077241398073883, 'support': 32613.0} |
-| 0.2088        | 9.0   | 729  | 0.4472          | {'precision': 0.7090777402221149, 'recall': 0.674552135966927, 'f1-score': 0.6913841807909605, 'support': 4354.0}   | {'precision': 0.9155787641427328, 'recall': 0.8957002979991485, 'f1-score': 0.9055304497525284, 'support': 2349.0} | {'precision': 1.0, 'recall': 0.9996809189534142, 'f1-score': 0.9998404340194671, 'support': 12536.0}                | {'precision': 0.9072648632798181, 'recall': 0.9253775983251085, 'f1-score': 0.9162317231167869, 'support': 13374.0} | 0.9183   | {'precision': 0.8829803419111664, 'recall': 0.8738277378111496, 'f1-score': 0.8782466969199356, 'support': 32613.0} | {'precision': 0.9170508471898524, 'recall': 0.9183147824487168, 'f1-score': 0.9175807345372852, 'support': 32613.0} |
-| 0.2088        | 10.0  | 810  | 0.4513          | {'precision': 0.6997590361445784, 'recall': 0.6669728984841525, 'f1-score': 0.6829727187206021, 'support': 4354.0}  | {'precision': 0.8780778395552026, 'recall': 0.9412515964240102, 'f1-score': 0.908567906307787, 'support': 2349.0}  | {'precision': 1.0, 'recall': 0.9998404594767071, 'f1-score': 0.9999202233745512, 'support': 12536.0}                | {'precision': 0.9119379613749907, 'recall': 0.914460894272469, 'f1-score': 0.9131976852716073, 'support': 13374.0}  | 0.9162   | {'precision': 0.8724437092686929, 'recall': 0.8806314621643347, 'f1-score': 0.8761646334186369, 'support': 32613.0} | {'precision': 0.9150220459300829, 'recall': 0.9161683991046515, 'f1-score': 0.9154630053129839, 'support': 32613.0} |
-| 0.2088        | 11.0  | 891  | 0.5218          | {'precision': 0.717554953327311, 'recall': 0.5473128158015618, 'f1-score': 0.6209771986970684, 'support': 4354.0}   | {'precision': 0.9115867845509539, 'recall': 0.8339719029374202, 'f1-score': 0.8710538016896399, 'support': 2349.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | {'precision': 0.8758814267132197, 'recall': 0.9566322715717063, 'f1-score': 0.9144776812837283, 'support': 13374.0} | 0.9098   | {'precision': 0.8762557911478711, 'recall': 0.8344792475776721, 'f1-score': 0.8516271704176092, 'support': 32613.0} | {'precision': 0.9050252912813879, 'recall': 0.9098212369300586, 'f1-score': 0.9050398495319223, 'support': 32613.0} |
-| 0.2088        | 12.0  | 972  | 0.4860          | {'precision': 0.7006886374815543, 'recall': 0.6543408360128617, 'f1-score': 0.6767220902612826, 'support': 4354.0}  | {'precision': 0.8791732909379968, 'recall': 0.9416773094934014, 'f1-score': 0.9093525179856115, 'support': 2349.0} | {'precision': 1.0, 'recall': 0.9998404594767071, 'f1-score': 0.9999202233745512, 'support': 12536.0}                | {'precision': 0.9089427280136326, 'recall': 0.9173022282039779, 'f1-score': 0.9131033456142309, 'support': 13374.0} | 0.9157   | {'precision': 0.872201164108296, 'recall': 0.878290208296737, 'f1-score': 0.8747745443089191, 'support': 32613.0}   | {'precision': 0.9139967630227935, 'recall': 0.9156777971974366, 'f1-score': 0.9146463407295841, 'support': 32613.0} |
-| 0.0253        | 13.0  | 1053 | 0.5282          | {'precision': 0.6758776896942242, 'recall': 0.6853468075333027, 'f1-score': 0.6805793134907059, 'support': 4354.0}  | {'precision': 0.914198606271777, 'recall': 0.8935717326521925, 'f1-score': 0.903767491926803, 'support': 2349.0}   | {'precision': 0.9996809952946806, 'recall': 0.9999202297383536, 'f1-score': 0.9998005982053838, 'support': 12536.0} | {'precision': 0.9107236399012197, 'recall': 0.9099745775385075, 'f1-score': 0.9103489546321576, 'support': 13374.0} | 0.9134   | {'precision': 0.8751202327904755, 'recall': 0.872203336865589, 'f1-score': 0.8736240895637626, 'support': 32613.0}  | {'precision': 0.9138148255025323, 'recall': 0.9133781007573667, 'f1-score': 0.9135835215352088, 'support': 32613.0} |
-| 0.0253        | 14.0  | 1134 | 0.5426          | {'precision': 0.7010741419963322, 'recall': 0.6146072576940744, 'f1-score': 0.6549993880797944, 'support': 4354.0}  | {'precision': 0.8624564122433166, 'recall': 0.9476372924648787, 'f1-score': 0.9030425963488844, 'support': 2349.0} | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | {'precision': 0.8997076023391812, 'recall': 0.9202931060266188, 'f1-score': 0.9098839358320396, 'support': 13374.0} | 0.9121   | {'precision': 0.8658095391447076, 'recall': 0.8706144714809814, 'f1-score': 0.866971508384752, 'support': 32613.0}  | {'precision': 0.9090570140832118, 'recall': 0.9120596081317266, 'f1-score': 0.9099868804586297, 'support': 32613.0} |
-| 0.0253        | 15.0  | 1215 | 0.6165          | {'precision': 0.7051282051282052, 'recall': 0.6316031235645384, 'f1-score': 0.6663435909861886, 'support': 4354.0}  | {'precision': 0.8293313631326191, 'recall': 0.955725840783312, 'f1-score': 0.8880537974683544, 'support': 2349.0}  | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | {'precision': 0.9083958132284166, 'recall': 0.9149842978914311, 'f1-score': 0.9116781523561184, 'support': 13374.0} | 0.9127   | {'precision': 0.8607138453723102, 'recall': 0.8755583729944088, 'f1-score': 0.8665089135222377, 'support': 32613.0} | {'precision': 0.910775248619985, 'recall': 0.9127341857541471, 'f1-score': 0.9111575738225369, 'support': 32613.0}  |
-| 0.0253        | 16.0  | 1296 | 0.6390          | {'precision': 0.6630434782608695, 'recall': 0.6864951768488746, 'f1-score': 0.674565560821485, 'support': 4354.0}   | {'precision': 0.8824470211915234, 'recall': 0.9395487441464453, 'f1-score': 0.9101030927835051, 'support': 2349.0} | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | {'precision': 0.9146836024179356, 'recall': 0.8938238372962465, 'f1-score': 0.9041334190523012, 'support': 13374.0} | 0.9102   | {'precision': 0.8650435254675821, 'recall': 0.8799469970074799, 'f1-score': 0.8721905464838953, 'support': 32613.0} | {'precision': 0.9115609681986994, 'recall': 0.9102198509796707, 'f1-score': 0.9107494233350908, 'support': 32613.0} |
-| 0.0253        | 17.0  | 1377 | 0.5812          | {'precision': 0.7280334728033473, 'recall': 0.6394120349104272, 'f1-score': 0.6808510638297871, 'support': 4354.0}  | {'precision': 0.9255226480836237, 'recall': 0.9046402724563644, 'f1-score': 0.9149623250807319, 'support': 2349.0} | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | {'precision': 0.8986960882647944, 'recall': 0.9379392851802004, 'f1-score': 0.9178984340699547, 'support': 13374.0} | 0.9195   | {'precision': 0.8880630522879414, 'recall': 0.8704779555713364, 'f1-score': 0.8784179840646908, 'support': 32613.0} | {'precision': 0.91678385690944, 'recall': 0.9195106245975532, 'f1-score': 0.9175833462373209, 'support': 32613.0}   |
-| 0.0253        | 18.0  | 1458 | 0.5839          | {'precision': 0.7488125174629785, 'recall': 0.6155259531465319, 'f1-score': 0.6756586411193748, 'support': 4354.0}  | {'precision': 0.9188615123194562, 'recall': 0.9208173690932312, 'f1-score': 0.9198384010206252, 'support': 2349.0} | {'precision': 0.9999202297383536, 'recall': 0.9999202297383536, 'f1-score': 0.9999202297383536, 'support': 12536.0} | {'precision': 0.8941600678733032, 'recall': 0.9456407955735008, 'f1-score': 0.9191801729776873, 'support': 13374.0} | 0.9206   | {'precision': 0.8904385818485229, 'recall': 0.8704760868879043, 'f1-score': 0.8786493612140102, 'support': 32613.0} | {'precision': 0.9171873835957982, 'recall': 0.9206451415079876, 'f1-score': 0.9177516254510409, 'support': 32613.0} |
-| 0.0099        | 19.0  | 1539 | 0.6211          | {'precision': 0.7007197585326214, 'recall': 0.6931557188791916, 'f1-score': 0.6969172151021822, 'support': 4354.0}  | {'precision': 0.9397590361445783, 'recall': 0.929757343550447, 'f1-score': 0.93473143590841, 'support': 2349.0}    | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | {'precision': 0.9101658362460028, 'recall': 0.9151338417825632, 'f1-score': 0.9126430781850042, 'support': 13374.0} | 0.9191   | {'precision': 0.8876611577308006, 'recall': 0.8844917834876388, 'f1-score': 0.8860629606184716, 'support': 32613.0} | {'precision': 0.9188662710731514, 'recall': 0.9191426731671419, 'f1-score': 0.9189970320181106, 'support': 32613.0} |
-| 0.0099        | 20.0  | 1620 | 0.6080          | {'precision': 0.7457861287648522, 'recall': 0.6198897565457051, 'f1-score': 0.6770349931017183, 'support': 4354.0}  | {'precision': 0.9298690325306295, 'recall': 0.9369944657300979, 'f1-score': 0.933418150975403, 'support': 2349.0}  | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | {'precision': 0.8932727788816349, 'recall': 0.9412292507851054, 'f1-score': 0.916624189907522, 'support': 13374.0}  | 0.9206   | {'precision': 0.8922319850442791, 'recall': 0.8745084256998155, 'f1-score': 0.8817593618157333, 'support': 32613.0} | {'precision': 0.9172429800024408, 'recall': 0.9205838162695857, 'f1-score': 0.9178806455243597, 'support': 32613.0} |
-| 0.0099        | 21.0  | 1701 | 0.6419          | {'precision': 0.6884319927699954, 'recall': 0.6998162609095085, 'f1-score': 0.6940774487471526, 'support': 4354.0}  | {'precision': 0.875686274509804, 'recall': 0.9506172839506173, 'f1-score': 0.9116146152275975, 'support': 2349.0}  | {'precision': 0.9999202361011407, 'recall': 1.0, 'f1-score': 0.999960116459937, 'support': 12536.0}                 | {'precision': 0.9188549618320611, 'recall': 0.9000299087782264, 'f1-score': 0.9093450177532674, 'support': 13374.0} | 0.9154   | {'precision': 0.8707233663032503, 'recall': 0.8876158634095881, 'f1-score': 0.8787492995469885, 'support': 32613.0} | {'precision': 0.916143448767362, 'recall': 0.9153711710054273, 'f1-score': 0.9156004118108944, 'support': 32613.0}  |
-| 0.0099        | 22.0  | 1782 | 0.6659          | {'precision': 0.7114634146341463, 'recall': 0.6699586587046394, 'f1-score': 0.6900875325289804, 'support': 4354.0}  | {'precision': 0.9280792420327304, 'recall': 0.9174116645381013, 'f1-score': 0.9227146221365875, 'support': 2349.0} | {'precision': 0.9999202361011407, 'recall': 1.0, 'f1-score': 0.999960116459937, 'support': 12536.0}                 | {'precision': 0.9058883843562326, 'recall': 0.9248541947061463, 'f1-score': 0.9152730501701939, 'support': 13374.0} | 0.9192   | {'precision': 0.8863378192810625, 'recall': 0.8780561294872218, 'f1-score': 0.8820088303239246, 'support': 32613.0} | {'precision': 0.91767458311091, 'recall': 0.9191733357863429, 'f1-score': 0.9182982110492126, 'support': 32613.0}   |
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-| 0.001         | 43.0  | 3483 | 0.7130          | {'precision': 0.7090749285871237, 'recall': 0.7411575562700965, 'f1-score': 0.7247613700168444, 'support': 4354.0}  | {'precision': 0.9473684210526315, 'recall': 0.9195402298850575, 'f1-score': 0.933246921581335, 'support': 2349.0}  | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | {'precision': 0.923071115808546, 'recall': 0.9142365784357709, 'f1-score': 0.9186326070623592, 'support': 13374.0}  | 0.9245   | {'precision': 0.8948786163620753, 'recall': 0.8937335911477313, 'f1-score': 0.8941602246651347, 'support': 32613.0} | {'precision': 0.9258220268894141, 'recall': 0.9244779689081041, 'f1-score': 0.9250789719038385, 'support': 32613.0} |
-| 0.001         | 44.0  | 3564 | 0.7186          | {'precision': 0.7104247104247104, 'recall': 0.718419843821773, 'f1-score': 0.7143999086445129, 'support': 4354.0}   | {'precision': 0.9296545914069082, 'recall': 0.9395487441464453, 'f1-score': 0.9345754816853695, 'support': 2349.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | {'precision': 0.9188721804511278, 'recall': 0.9137879467623747, 'f1-score': 0.9163230111719278, 'support': 13374.0} | 0.9227   | {'precision': 0.8897378705706865, 'recall': 0.8929391336826483, 'f1-score': 0.8913246003754525, 'support': 32613.0} | {'precision': 0.923004457294864, 'recall': 0.9226995369944501, 'f1-score': 0.922844232671956, 'support': 32613.0}   |
-| 0.001         | 45.0  | 3645 | 0.7188          | {'precision': 0.7098515519568152, 'recall': 0.7248507119889757, 'f1-score': 0.7172727272727273, 'support': 4354.0}  | {'precision': 0.9367572156196944, 'recall': 0.9395487441464453, 'f1-score': 0.9381509032943677, 'support': 2349.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | {'precision': 0.9194726930320151, 'recall': 0.9126663675788844, 'f1-score': 0.9160568876880933, 'support': 13374.0} | 0.9231   | {'precision': 0.8915203651521312, 'recall': 0.8942664559285763, 'f1-score': 0.8928701295637971, 'support': 32613.0} | {'precision': 0.9236857741796463, 'recall': 0.9230981510440622, 'f1-score': 0.9233761611113508, 'support': 32613.0} |
-| 0.001         | 46.0  | 3726 | 0.7235          | {'precision': 0.7314059797380776, 'recall': 0.6798346348185577, 'f1-score': 0.7046780145220808, 'support': 4354.0}  | {'precision': 0.9440347071583514, 'recall': 0.9263516389953171, 'f1-score': 0.935109583154276, 'support': 2349.0}  | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | {'precision': 0.9069581056466303, 'recall': 0.9307611784058621, 'f1-score': 0.9187054872873537, 'support': 13374.0} | 0.9236   | {'precision': 0.8955996981357648, 'recall': 0.8842368630549342, 'f1-score': 0.8896232712409275, 'support': 32613.0} | {'precision': 0.9219555658115657, 'recall': 0.9235580903320761, 'f1-score': 0.9225617904835374, 'support': 32613.0} |
-| 0.001         | 47.0  | 3807 | 0.7265          | {'precision': 0.7347092876919205, 'recall': 0.6704180064308681, 'f1-score': 0.7010928305512188, 'support': 4354.0}  | {'precision': 0.9429429429429429, 'recall': 0.9357173265219242, 'f1-score': 0.9393162393162393, 'support': 2349.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | {'precision': 0.9045959485950773, 'recall': 0.9315836698070884, 'f1-score': 0.9178914797215162, 'support': 13374.0} | 0.9233   | {'precision': 0.8955620448074851, 'recall': 0.8844297506899702, 'f1-score': 0.8895751373972436, 'support': 32613.0} | {'precision': 0.9213492603591867, 'recall': 0.9233127893784687, 'f1-score': 0.9220523312841324, 'support': 32613.0} |
-| 0.001         | 48.0  | 3888 | 0.7220          | {'precision': 0.7300194931773879, 'recall': 0.6881028938906752, 'f1-score': 0.7084417119886497, 'support': 4354.0}  | {'precision': 0.9431380932022232, 'recall': 0.9391230310770541, 'f1-score': 0.9411262798634812, 'support': 2349.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | {'precision': 0.909270940296318, 'recall': 0.9269478091819949, 'f1-score': 0.9180242890995262, 'support': 13374.0}  | 0.9240   | {'precision': 0.8956071316689823, 'recall': 0.888543433537431, 'f1-score': 0.8918980702379142, 'support': 32613.0}  | {'precision': 0.922654334460164, 'recall': 0.9240180296200902, 'f1-score': 0.9232182776136804, 'support': 32613.0}  |
-| 0.001         | 49.0  | 3969 | 0.7218          | {'precision': 0.7299638989169676, 'recall': 0.6966008268259072, 'f1-score': 0.7128922317546129, 'support': 4354.0}  | {'precision': 0.9431380932022232, 'recall': 0.9391230310770541, 'f1-score': 0.9411262798634812, 'support': 2349.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | {'precision': 0.9116542737245086, 'recall': 0.9259010019440705, 'f1-score': 0.9187224097636977, 'support': 13374.0} | 0.9247   | {'precision': 0.8961890664609249, 'recall': 0.890406214961758, 'f1-score': 0.893185230345448, 'support': 32613.0}   | {'precision': 0.9236242741731235, 'recall': 0.9247232698617116, 'f1-score': 0.924098731077748, 'support': 32613.0}  |
-| 0.0003        | 50.0  | 4050 | 0.7212          | {'precision': 0.7261961155850308, 'recall': 0.7041800643086816, 'f1-score': 0.715018656716418, 'support': 4354.0}   | {'precision': 0.9431380932022232, 'recall': 0.9391230310770541, 'f1-score': 0.9411262798634812, 'support': 2349.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | {'precision': 0.9136578869488015, 'recall': 0.9233587557948257, 'f1-score': 0.9184827073261436, 'support': 13374.0} | 0.9247   | {'precision': 0.8957480239340139, 'recall': 0.8916654627951404, 'f1-score': 0.8936569109765107, 'support': 32613.0} | {'precision': 0.923942901549766, 'recall': 0.9246926072425107, 'f1-score': 0.9242843219121959, 'support': 32613.0}  |
 ### Framework versions

       name: essays_su_g
       type: essays_su_g
       config: sep_tok
+      split: train[40%:60%]
       args: sep_tok
     metrics:
     - name: Accuracy
       type: accuracy
+      value: 0.9167463229625975
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the essays_su_g dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.7657
+- Claim: {'precision': 0.7186853596874282, 'recall': 0.6861970594689488, 'f1-score': 0.7020655590480467, 'support': 4557.0}
+- Majorclaim: {'precision': 0.8887445887445887, 'recall': 0.9048038783605112, 'f1-score': 0.89670233675475, 'support': 2269.0}
+- O: {'precision': 1.0, 'recall': 0.999819347845723, 'f1-score': 0.9999096657633243, 'support': 11071.0}
+- Premise: {'precision': 0.9170804707162779, 'recall': 0.9276179991743498, 'f1-score': 0.9223191380194973, 'support': 14534.0}
+- Accuracy: 0.9167
+- Macro avg: {'precision': 0.8811276047870737, 'recall': 0.8796095712123833, 'f1-score': 0.8802491748964045, 'support': 32431.0}
+- Weighted avg: {'precision': 0.9155270641468799, 'recall': 0.9167463229625975, 'f1-score': 0.9160653885578494, 'support': 32431.0}
 ## Model description
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | Claim                                                                                                              | Majorclaim                                                                                                         | O                                                                                                                   | Premise                                                                                                             | Accuracy | Macro avg                                                                                                           | Weighted avg                                                                                                        |
+|:-------------:|:-----:|:----:|:---------------:|:------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:--------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|
+| No log        | 1.0   | 81   | 0.3158          | {'precision': 0.6002889477486154, 'recall': 0.5470704410796576, 'f1-score': 0.5724454649827784, 'support': 4557.0} | {'precision': 0.698526892771497, 'recall': 0.8986337593653592, 'f1-score': 0.7860447185813415, 'support': 2269.0}  | {'precision': 0.9975671292124707, 'recall': 1.0, 'f1-score': 0.9987820830889982, 'support': 11071.0}                | {'precision': 0.9051258677512096, 'recall': 0.8881243979633962, 'f1-score': 0.8965445389824622, 'support': 14534.0} | 0.8791   | {'precision': 0.8003772093709481, 'recall': 0.8334571496021033, 'f1-score': 0.8134542014088951, 'support': 32431.0} | {'precision': 0.8793943851252293, 'recall': 0.8791279948197712, 'f1-score': 0.8781740995293698, 'support': 32431.0} |
+| No log        | 2.0   | 162  | 0.2445          | {'precision': 0.680108254397835, 'recall': 0.5514592933947773, 'f1-score': 0.6090644692195831, 'support': 4557.0}  | {'precision': 0.8960229995208433, 'recall': 0.8241516086381666, 'f1-score': 0.8585858585858586, 'support': 2269.0} | {'precision': 0.9992776523702032, 'recall': 0.9996386956914461, 'f1-score': 0.999458141425088, 'support': 11071.0}  | {'precision': 0.8801849235905997, 'recall': 0.9431677445988716, 'f1-score': 0.9105885478942475, 'support': 14534.0} | 0.8991   | {'precision': 0.8638984574698704, 'recall': 0.8296043355808155, 'f1-score': 0.8444242542811943, 'support': 32431.0} | {'precision': 0.8938342965082798, 'recall': 0.8990780426135487, 'f1-score': 0.8949194640367888, 'support': 32431.0} |
+| No log        | 3.0   | 243  | 0.2267          | {'precision': 0.7079713847726111, 'recall': 0.60807548825982, 'f1-score': 0.6542320859402667, 'support': 4557.0}   | {'precision': 0.8866608544027899, 'recall': 0.8964301454385192, 'f1-score': 0.8915187376725839, 'support': 2269.0} | {'precision': 0.9992778479870013, 'recall': 0.9999096739228616, 'f1-score': 0.9995936611133684, 'support': 11071.0} | {'precision': 0.8973258501155497, 'recall': 0.935048850970139, 'f1-score': 0.9157990498332153, 'support': 14534.0}  | 0.9085   | {'precision': 0.872808984319488, 'recall': 0.8598660396478349, 'f1-score': 0.8652858836398586, 'support': 32431.0}  | {'precision': 0.9047762338408377, 'recall': 0.9085442940396534, 'f1-score': 0.9059516032151627, 'support': 32431.0} |
+| No log        | 4.0   | 324  | 0.2452          | {'precision': 0.6424741478360781, 'recall': 0.7362299758613122, 'f1-score': 0.6861642294713161, 'support': 4557.0} | {'precision': 0.9155636695572797, 'recall': 0.884089907448215, 'f1-score': 0.8995515695067264, 'support': 2269.0}  | {'precision': 0.9990941208442794, 'recall': 0.9962063047601842, 'f1-score': 0.9976481230212574, 'support': 11071.0} | {'precision': 0.9242435081193219, 'recall': 0.8889500481629283, 'f1-score': 0.9062532879739067, 'support': 14534.0} | 0.9038   | {'precision': 0.8703438615892398, 'recall': 0.8763690590581599, 'f1-score': 0.8724043024933017, 'support': 32431.0} | {'precision': 0.9095955973231696, 'recall': 0.9037649162838025, 'f1-score': 0.9060584182508294, 'support': 32431.0} |
+| No log        | 5.0   | 405  | 0.2841          | {'precision': 0.7332272606735614, 'recall': 0.6067588325652842, 'f1-score': 0.6640249759846301, 'support': 4557.0} | {'precision': 0.8794079233783195, 'recall': 0.8902600264433671, 'f1-score': 0.8848007008322383, 'support': 2269.0} | {'precision': 0.9992775219001174, 'recall': 0.9994580435371692, 'f1-score': 0.999367774566474, 'support': 11071.0}  | {'precision': 0.8973839110529758, 'recall': 0.9440621989816981, 'f1-score': 0.9201314377682404, 'support': 14534.0} | 0.9118   | {'precision': 0.8773241542512435, 'recall': 0.8601347753818797, 'f1-score': 0.8670812222878956, 'support': 32431.0} | {'precision': 0.9078434958291443, 'recall': 0.9118127717307515, 'f1-score': 0.9087220731552942, 'support': 32431.0} |
+| No log        | 6.0   | 486  | 0.3082          | {'precision': 0.7484258729250143, 'recall': 0.5738424402018872, 'f1-score': 0.6496087442553721, 'support': 4557.0} | {'precision': 0.8711186729051468, 'recall': 0.9026002644336713, 'f1-score': 0.8865800865800866, 'support': 2269.0} | {'precision': 0.9994572100597069, 'recall': 0.9979225002258152, 'f1-score': 0.9986892655367232, 'support': 11071.0} | {'precision': 0.889647180015452, 'recall': 0.9507362047612495, 'f1-score': 0.9191778088205947, 'support': 14534.0}  | 0.9105   | {'precision': 0.87716223397633, 'recall': 0.8562753524056559, 'f1-score': 0.8635139762981943, 'support': 32431.0}   | {'precision': 0.9059932736781678, 'recall': 0.9105177145323918, 'f1-score': 0.9061618943658084, 'support': 32431.0} |
+| 0.2223        | 7.0   | 567  | 0.3512          | {'precision': 0.629950495049505, 'recall': 0.7818740399385561, 'f1-score': 0.6977381768334475, 'support': 4557.0}  | {'precision': 0.8621688741721855, 'recall': 0.9180255619215514, 'f1-score': 0.8892209178228387, 'support': 2269.0} | {'precision': 0.9998190045248869, 'recall': 0.9979225002258152, 'f1-score': 0.9988698521766648, 'support': 11071.0} | {'precision': 0.9449996243143738, 'recall': 0.8653502132929682, 'f1-score': 0.9034227633516503, 'support': 14534.0} | 0.9026   | {'precision': 0.8592344995152377, 'recall': 0.8907930788447227, 'f1-score': 0.8723129275461503, 'support': 32431.0} | {'precision': 0.9136494810618672, 'recall': 0.9025623631710401, 'f1-score': 0.9061105026169647, 'support': 32431.0} |
+| 0.2223        | 8.0   | 648  | 0.3706          | {'precision': 0.6177710335525206, 'recall': 0.80403774412991, 'f1-score': 0.6987032799389779, 'support': 4557.0}   | {'precision': 0.8856292517006803, 'recall': 0.9180255619215514, 'f1-score': 0.9015364639688379, 'support': 2269.0} | {'precision': 0.9994574554661362, 'recall': 0.9983741306115076, 'f1-score': 0.998915499322187, 'support': 11071.0}  | {'precision': 0.9472075788830315, 'recall': 0.8530342644832806, 'f1-score': 0.8976577489773016, 'support': 14534.0} | 0.9003   | {'precision': 0.8625163299005921, 'recall': 0.8933679252865624, 'f1-score': 0.8742032480518261, 'support': 32431.0} | {'precision': 0.9144455555782818, 'recall': 0.9003114304215103, 'f1-score': 0.9045397397569994, 'support': 32431.0} |
+| 0.2223        | 9.0   | 729  | 0.4183          | {'precision': 0.7278645833333334, 'recall': 0.6133421110379635, 'f1-score': 0.6657139454567107, 'support': 4557.0} | {'precision': 0.8884479717813051, 'recall': 0.8880564125165271, 'f1-score': 0.8882521489971346, 'support': 2269.0} | {'precision': 0.9999094612947035, 'recall': 0.9975611959172613, 'f1-score': 0.9987339482727438, 'support': 11071.0} | {'precision': 0.8955360649299646, 'recall': 0.9413788358332187, 'f1-score': 0.9178854152690192, 'support': 14534.0} | 0.9107   | {'precision': 0.8779395203348266, 'recall': 0.8600846388262426, 'f1-score': 0.8676463644989021, 'support': 32431.0} | {'precision': 0.9071100542045434, 'recall': 0.9107335573987851, 'f1-score': 0.9079779452489347, 'support': 32431.0} |
+| 0.2223        | 10.0  | 810  | 0.5459          | {'precision': 0.6964871194379391, 'recall': 0.652622339258284, 'f1-score': 0.6738416222952305, 'support': 4557.0}  | {'precision': 0.8557073954983923, 'recall': 0.9382988100484795, 'f1-score': 0.8951019550136641, 'support': 2269.0} | {'precision': 0.9996382054992764, 'recall': 0.998283804534369, 'f1-score': 0.9989605459393501, 'support': 11071.0}  | {'precision': 0.9083259218717931, 'recall': 0.9135131415990092, 'f1-score': 0.9109121470961545, 'support': 14534.0} | 0.9075   | {'precision': 0.8650396605768502, 'recall': 0.8756795238600354, 'f1-score': 0.8697040675860997, 'support': 32431.0} | {'precision': 0.9060496255197702, 'recall': 0.9075267490980852, 'f1-score': 0.9065515080853328, 'support': 32431.0} |
+| 0.2223        | 11.0  | 891  | 0.5727          | {'precision': 0.7070834383665239, 'recall': 0.6155365371955234, 'f1-score': 0.6581417175035196, 'support': 4557.0} | {'precision': 0.876414273281114, 'recall': 0.8876156897311591, 'f1-score': 0.881979417560762, 'support': 2269.0}   | {'precision': 0.9999096820809249, 'recall': 1.0, 'f1-score': 0.9999548390010388, 'support': 11071.0}                | {'precision': 0.9002915065588976, 'recall': 0.9349800467868447, 'f1-score': 0.9173079519373565, 'support': 14534.0} | 0.9090   | {'precision': 0.8709247250718651, 'recall': 0.8595330684283817, 'f1-score': 0.8643459815006692, 'support': 32431.0} | {'precision': 0.9054793272287636, 'recall': 0.9089759797724399, 'f1-score': 0.9066330640790278, 'support': 32431.0} |
+| 0.2223        | 12.0  | 972  | 0.5661          | {'precision': 0.7407673860911271, 'recall': 0.6778582400702217, 'f1-score': 0.7079179557694512, 'support': 4557.0} | {'precision': 0.8644207066557108, 'recall': 0.9272807404142794, 'f1-score': 0.8947480331703169, 'support': 2269.0} | {'precision': 0.9999095431931253, 'recall': 0.998464456688646, 'f1-score': 0.999186477447347, 'support': 11071.0}   | {'precision': 0.9169374492282697, 'recall': 0.9319526627218935, 'f1-score': 0.9243840851702722, 'support': 14534.0} | 0.9186   | {'precision': 0.8805087712920582, 'recall': 0.8838890249737601, 'f1-score': 0.8815591378893468, 'support': 32431.0} | {'precision': 0.9168331226787283, 'recall': 0.9186272393697388, 'f1-score': 0.917429533390557, 'support': 32431.0}  |
+| 0.0294        | 13.0  | 1053 | 0.5764          | {'precision': 0.7221943887775552, 'recall': 0.6326530612244898, 'f1-score': 0.6744648496900223, 'support': 4557.0} | {'precision': 0.863672814755413, 'recall': 0.9493168796826796, 'f1-score': 0.9044719714465672, 'support': 2269.0}  | {'precision': 0.9999096167751266, 'recall': 0.9992773913828923, 'f1-score': 0.9995934041111363, 'support': 11071.0} | {'precision': 0.9055171023452725, 'recall': 0.9271363698912893, 'f1-score': 0.9161992180860105, 'support': 14534.0} | 0.9119   | {'precision': 0.8728234806633418, 'recall': 0.8770959255453377, 'f1-score': 0.8736823608334341, 'support': 32431.0} | {'precision': 0.909053016531805, 'recall': 0.9119361105115475, 'f1-score': 0.9098800911419986, 'support': 32431.0}  |
+| 0.0294        | 14.0  | 1134 | 0.5469          | {'precision': 0.6923565530383231, 'recall': 0.717577353522054, 'f1-score': 0.7047413793103449, 'support': 4557.0}  | {'precision': 0.8737864077669902, 'recall': 0.9519612163948876, 'f1-score': 0.9112001687407719, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.998464456688646, 'f1-score': 0.9992316384180792, 'support': 11071.0}                 | {'precision': 0.9258919757439007, 'recall': 0.903467730838035, 'f1-score': 0.9145424153781864, 'support': 14534.0}  | 0.9132   | {'precision': 0.8730087341373035, 'recall': 0.8928676893609057, 'f1-score': 0.8824289004618456, 'support': 32431.0} | {'precision': 0.9147298617643856, 'recall': 0.9131694983195091, 'f1-score': 0.9137390947680665, 'support': 32431.0} |
+| 0.0294        | 15.0  | 1215 | 0.6552          | {'precision': 0.7559304164470216, 'recall': 0.6293614219881501, 'f1-score': 0.6868638486408813, 'support': 4557.0} | {'precision': 0.8822055137844611, 'recall': 0.9308065226972234, 'f1-score': 0.9058546000428909, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9023924075660713, 'recall': 0.9420668776661622, 'f1-score': 0.9218029420675262, 'support': 14534.0} | 0.9171   | {'precision': 0.8851320844493885, 'recall': 0.8755361240685993, 'f1-score': 0.8786190564182342, 'support': 32431.0} | {'precision': 0.9137205288178378, 'recall': 0.9170855046097869, 'f1-score': 0.9143537536055225, 'support': 32431.0} |
+| 0.0294        | 16.0  | 1296 | 0.6048          | {'precision': 0.6899071696622556, 'recall': 0.7665130568356375, 'f1-score': 0.7261954261954263, 'support': 4557.0} | {'precision': 0.9050522648083623, 'recall': 0.9158219479947113, 'f1-score': 0.9104052573932091, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9360805599200114, 'recall': 0.9018164304389706, 'f1-score': 0.9186291000841041, 'support': 14534.0} | 0.9173   | {'precision': 0.8827599985976573, 'recall': 0.8960152772980452, 'f1-score': 0.8887961546485946, 'support': 32431.0} | {'precision': 0.92113920073012, 'recall': 0.9172705127809812, 'f1-score': 0.918776399254959, 'support': 32431.0}    |
+| 0.0294        | 17.0  | 1377 | 0.6666          | {'precision': 0.7134071340713407, 'recall': 0.6363835856923414, 'f1-score': 0.6726977499420088, 'support': 4557.0} | {'precision': 0.9003542958370239, 'recall': 0.8959894226531512, 'f1-score': 0.898166556218246, 'support': 2269.0}  | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9018486500864477, 'recall': 0.9331223338378973, 'f1-score': 0.9172189909373732, 'support': 14534.0} | 0.9116   | {'precision': 0.8789025199987031, 'recall': 0.8663512540265629, 'f1-score': 0.8720095330048165, 'support': 32431.0} | {'precision': 0.9087714991080675, 'recall': 0.9116277635595572, 'f1-score': 0.9097710324765249, 'support': 32431.0} |
+| 0.0294        | 18.0  | 1458 | 0.5898          | {'precision': 0.7184193478730296, 'recall': 0.7300855826201448, 'f1-score': 0.7242054854157598, 'support': 4557.0} | {'precision': 0.8937867338371117, 'recall': 0.9382988100484795, 'f1-score': 0.91550204257149, 'support': 2269.0}   | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9277948146083078, 'recall': 0.9159212880143113, 'f1-score': 0.9218198185721211, 'support': 14534.0} | 0.9200   | {'precision': 0.8850002240796123, 'recall': 0.8960538386514494, 'f1-score': 0.8903705453702524, 'support': 32431.0} | {'precision': 0.9206441029524512, 'recall': 0.9200456353488946, 'f1-score': 0.9202833015380038, 'support': 32431.0} |
+| 0.0093        | 19.0  | 1539 | 0.6108          | {'precision': 0.7151830192765866, 'recall': 0.7245995172262454, 'f1-score': 0.7198604752561586, 'support': 4557.0} | {'precision': 0.860223642172524, 'recall': 0.9493168796826796, 'f1-score': 0.9025769956002515, 'support': 2269.0}  | {'precision': 1.0, 'recall': 0.9950320657573841, 'f1-score': 0.9975098474215601, 'support': 11071.0}                | {'precision': 0.9289911851126347, 'recall': 0.9136507499655979, 'f1-score': 0.9212571111419453, 'support': 14534.0} | 0.9174   | {'precision': 0.8760994616404363, 'recall': 0.8956498031579767, 'f1-score': 0.8853011073549788, 'support': 32431.0} | {'precision': 0.9183773040411919, 'recall': 0.9173630168665783, 'f1-score': 0.9176816552958715, 'support': 32431.0} |
+| 0.0093        | 20.0  | 1620 | 0.6274          | {'precision': 0.7018174133558749, 'recall': 0.7287689269256089, 'f1-score': 0.7150392937883518, 'support': 4557.0} | {'precision': 0.8899003034243607, 'recall': 0.9048038783605112, 'f1-score': 0.8972902097902098, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.998464456688646, 'f1-score': 0.9992316384180792, 'support': 11071.0}                 | {'precision': 0.9266285395452644, 'recall': 0.9141323792486583, 'f1-score': 0.9203380437794403, 'support': 14534.0} | 0.9162   | {'precision': 0.879586564081375, 'recall': 0.886542410305856, 'f1-score': 0.8829747964440202, 'support': 32431.0}   | {'precision': 0.9175167258142971, 'recall': 0.9162221331442139, 'f1-score': 0.9168102169228345, 'support': 32431.0} |
+| 0.0093        | 21.0  | 1701 | 0.6812          | {'precision': 0.6964614440580896, 'recall': 0.7472021066491112, 'f1-score': 0.7209400804573365, 'support': 4557.0} | {'precision': 0.8683574879227053, 'recall': 0.9506390480387836, 'f1-score': 0.9076372817168105, 'support': 2269.0} | {'precision': 0.9999095431931253, 'recall': 0.998464456688646, 'f1-score': 0.999186477447347, 'support': 11071.0}   | {'precision': 0.9355852317360566, 'recall': 0.9014036053392046, 'f1-score': 0.9181764025650909, 'support': 14534.0} | 0.9163   | {'precision': 0.8750784267274943, 'recall': 0.8994273041789365, 'f1-score': 0.8864850605466462, 'support': 32431.0} | {'precision': 0.9192399941849548, 'recall': 0.916314637229811, 'f1-score': 0.917379120765938, 'support': 32431.0}   |
+| 0.0093        | 22.0  | 1782 | 0.6877          | {'precision': 0.7348341232227488, 'recall': 0.6804915514592934, 'f1-score': 0.7066195738862937, 'support': 4557.0} | {'precision': 0.8991266375545851, 'recall': 0.9074482150727192, 'f1-score': 0.9032682605834613, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.998464456688646, 'f1-score': 0.9992316384180792, 'support': 11071.0}                 | {'precision': 0.914037801843008, 'recall': 0.9349800467868447, 'f1-score': 0.9243903268596307, 'support': 14534.0}  | 0.9190   | {'precision': 0.8869996406550854, 'recall': 0.8803460675018758, 'f1-score': 0.8833774499368663, 'support': 32431.0} | {'precision': 0.9171589791287257, 'recall': 0.9189664210169283, 'f1-score': 0.917861415342362, 'support': 32431.0}  |
+| 0.0093        | 23.0  | 1863 | 0.6736          | {'precision': 0.7354206500956023, 'recall': 0.6752249286811499, 'f1-score': 0.7040384395378104, 'support': 4557.0} | {'precision': 0.8623853211009175, 'recall': 0.9528426619656236, 'f1-score': 0.90536013400335, 'support': 2269.0}   | {'precision': 0.9999095350099512, 'recall': 0.9983741306115076, 'f1-score': 0.9991412429378531, 'support': 11071.0} | {'precision': 0.9164510418085251, 'recall': 0.9260355029585798, 'f1-score': 0.9212183436002738, 'support': 14534.0} | 0.9174   | {'precision': 0.878541637003749, 'recall': 0.8881193060542152, 'f1-score': 0.8824395400198218, 'support': 32431.0}  | {'precision': 0.9157214424409951, 'recall': 0.9173630168665783, 'f1-score': 0.9161926989447983, 'support': 32431.0} |
+| 0.0093        | 24.0  | 1944 | 0.6322          | {'precision': 0.724040754389768, 'recall': 0.7329383366249725, 'f1-score': 0.7284623773173391, 'support': 4557.0}  | {'precision': 0.8789045785194695, 'recall': 0.9052446011458792, 'f1-score': 0.8918801563178463, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.998464456688646, 'f1-score': 0.9992316384180792, 'support': 11071.0}                 | {'precision': 0.9289526582103002, 'recall': 0.9221136645108022, 'f1-score': 0.9255205276060909, 'support': 14534.0} | 0.9204   | {'precision': 0.8829744977798845, 'recall': 0.8896902647425751, 'f1-score': 0.8862736749148389, 'support': 32431.0} | {'precision': 0.9209116629411165, 'recall': 0.920415651691283, 'f1-score': 0.9206403732624274, 'support': 32431.0}  |
+| 0.004         | 25.0  | 2025 | 0.6635          | {'precision': 0.7316624511381927, 'recall': 0.6982664033355278, 'f1-score': 0.7145744441949248, 'support': 4557.0} | {'precision': 0.8795575583777141, 'recall': 0.9462318201851035, 'f1-score': 0.9116772823779193, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.998464456688646, 'f1-score': 0.9992316384180792, 'support': 11071.0}                 | {'precision': 0.920614245561116, 'recall': 0.9239713774597496, 'f1-score': 0.9222897565330862, 'support': 14534.0}  | 0.9192   | {'precision': 0.8829585637692556, 'recall': 0.8917335144172567, 'f1-score': 0.8869432803810023, 'support': 32431.0} | {'precision': 0.9182914290271974, 'recall': 0.9192439332737196, 'f1-score': 0.9186261381483827, 'support': 32431.0} |
+| 0.004         | 26.0  | 2106 | 0.6304          | {'precision': 0.7117352492924015, 'recall': 0.717357910906298, 'f1-score': 0.714535519125683, 'support': 4557.0}   | {'precision': 0.8716904276985743, 'recall': 0.9431467606875276, 'f1-score': 0.9060118543607113, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9981031523800922, 'f1-score': 0.9990506758283985, 'support': 11071.0}                | {'precision': 0.926393637061327, 'recall': 0.9135819457823036, 'f1-score': 0.9199431877230055, 'support': 14534.0}  | 0.9169   | {'precision': 0.8774548285130757, 'recall': 0.8930474424390553, 'f1-score': 0.8848853092594496, 'support': 32431.0} | {'precision': 0.9175310114557944, 'recall': 0.9169313311337918, 'f1-score': 0.9171108994684886, 'support': 32431.0} |
+| 0.004         | 27.0  | 2187 | 0.6544          | {'precision': 0.717512908777969, 'recall': 0.7318411235461927, 'f1-score': 0.7246061922868008, 'support': 4557.0}  | {'precision': 0.8780690803162713, 'recall': 0.9299250771264874, 'f1-score': 0.9032534246575342, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9983741306115076, 'f1-score': 0.9991864039052614, 'support': 11071.0}                | {'precision': 0.9295735324911008, 'recall': 0.9163341131140773, 'f1-score': 0.9229063442015175, 'support': 14534.0} | 0.9194   | {'precision': 0.8812888803963352, 'recall': 0.8941186110995663, 'f1-score': 0.8874880912627785, 'support': 32431.0} | {'precision': 0.9202142021449996, 'recall': 0.9193672720545157, 'f1-score': 0.9197072530313251, 'support': 32431.0} |
+| 0.004         | 28.0  | 2268 | 0.6722          | {'precision': 0.6913705583756345, 'recall': 0.7472021066491112, 'f1-score': 0.7182029107783169, 'support': 4557.0} | {'precision': 0.9101930848675348, 'recall': 0.8933450859409432, 'f1-score': 0.9016903914590747, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.998464456688646, 'f1-score': 0.9992316384180792, 'support': 11071.0}                 | {'precision': 0.9279437609841827, 'recall': 0.9082152194853447, 'f1-score': 0.9179735039465906, 'support': 14534.0} | 0.9154   | {'precision': 0.882376851056838, 'recall': 0.8868067171910112, 'f1-score': 0.8842746111505153, 'support': 32431.0}  | {'precision': 0.9180579805194509, 'recall': 0.9153587616786408, 'f1-score': 0.9165029304654106, 'support': 32431.0} |
+| 0.004         | 29.0  | 2349 | 0.7057          | {'precision': 0.7525951557093425, 'recall': 0.6682027649769585, 'f1-score': 0.7078925956061839, 'support': 4557.0} | {'precision': 0.8724531377343113, 'recall': 0.9435874834728956, 'f1-score': 0.9066271437645564, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.998464456688646, 'f1-score': 0.9992316384180792, 'support': 11071.0}                 | {'precision': 0.9132889695503126, 'recall': 0.9348424384202559, 'f1-score': 0.9239400224405835, 'support': 14534.0} | 0.9197   | {'precision': 0.8845843157484916, 'recall': 0.8862742858896889, 'f1-score': 0.8844228500573508, 'support': 32431.0} | {'precision': 0.9174528746424986, 'recall': 0.9197064537017051, 'f1-score': 0.9180734884048335, 'support': 32431.0} |
+| 0.004         | 30.0  | 2430 | 0.6960          | {'precision': 0.7327963176064441, 'recall': 0.6987052885670397, 'f1-score': 0.7153448663221748, 'support': 4557.0} | {'precision': 0.8700804062632247, 'recall': 0.9061260467166152, 'f1-score': 0.8877374784110534, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.998464456688646, 'f1-score': 0.9992316384180792, 'support': 11071.0}                 | {'precision': 0.9220124071170496, 'recall': 0.9305765790560067, 'f1-score': 0.9262746978050201, 'support': 14534.0} | 0.9195   | {'precision': 0.8812222827466796, 'recall': 0.8834680927570769, 'f1-score': 0.882147170239082, 'support': 32431.0}  | {'precision': 0.918414282204774, 'recall': 0.9194597761401129, 'f1-score': 0.9188453276546991, 'support': 32431.0}  |
+| 0.002         | 31.0  | 2511 | 0.6866          | {'precision': 0.7148362235067437, 'recall': 0.7327188940092166, 'f1-score': 0.723667100130039, 'support': 4557.0}  | {'precision': 0.8860595597755718, 'recall': 0.9048038783605112, 'f1-score': 0.8953336240732664, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9983741306115076, 'f1-score': 0.9991864039052614, 'support': 11071.0}                | {'precision': 0.928283530229326, 'recall': 0.9190862804458511, 'f1-score': 0.9236620107868897, 'support': 14534.0}  | 0.9190   | {'precision': 0.8822948283779104, 'recall': 0.8887457958567716, 'f1-score': 0.8854622847238642, 'support': 32431.0} | {'precision': 0.9198190200735107, 'recall': 0.9189664210169283, 'f1-score': 0.9193598504741339, 'support': 32431.0} |
+| 0.002         | 32.0  | 2592 | 0.6848          | {'precision': 0.7350486787204451, 'recall': 0.695852534562212, 'f1-score': 0.7149137639499492, 'support': 4557.0}  | {'precision': 0.8796058269065982, 'recall': 0.9048038783605112, 'f1-score': 0.8920269389528569, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9986451088429229, 'f1-score': 0.999322095177837, 'support': 11071.0}                 | {'precision': 0.919942961906702, 'recall': 0.9321590752717765, 'f1-score': 0.9260107310071427, 'support': 14534.0}  | 0.9197   | {'precision': 0.8836493668834363, 'recall': 0.8828651492593558, 'f1-score': 0.8830683822719464, 'support': 32431.0} | {'precision': 0.9184697807200564, 'recall': 0.9197372883969042, 'f1-score': 0.9189974415520827, 'support': 32431.0} |
+| 0.002         | 33.0  | 2673 | 0.7124          | {'precision': 0.7002583979328165, 'recall': 0.7136273864384464, 'f1-score': 0.7068796869905445, 'support': 4557.0} | {'precision': 0.8634453781512605, 'recall': 0.9056853239312472, 'f1-score': 0.8840610884061089, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9974708698401229, 'f1-score': 0.9987338337704622, 'support': 11071.0}                | {'precision': 0.9256474519632414, 'recall': 0.9148204210816018, 'f1-score': 0.9202020901100422, 'support': 14534.0} | 0.9141   | {'precision': 0.8723378070118297, 'recall': 0.8829010003228546, 'f1-score': 0.8774691748192894, 'support': 32431.0} | {'precision': 0.9150070965816288, 'recall': 0.9141253738706793, 'f1-score': 0.9145072552354695, 'support': 32431.0} |
+| 0.002         | 34.0  | 2754 | 0.6949          | {'precision': 0.7166517457475381, 'recall': 0.7026552556506473, 'f1-score': 0.709584487534626, 'support': 4557.0}  | {'precision': 0.8824553765781454, 'recall': 0.8933450859409432, 'f1-score': 0.8878668418747262, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.998464456688646, 'f1-score': 0.9992316384180792, 'support': 11071.0}                 | {'precision': 0.9205447577333699, 'recall': 0.9254850694922251, 'f1-score': 0.9230083030261442, 'support': 14534.0} | 0.9168   | {'precision': 0.8799129700147633, 'recall': 0.8799874669431155, 'f1-score': 0.879922817713394, 'support': 32431.0}  | {'precision': 0.9163538208419149, 'recall': 0.9168388270481946, 'f1-score': 0.9165811266694699, 'support': 32431.0} |
+| 0.002         | 35.0  | 2835 | 0.6992          | {'precision': 0.7225820862184499, 'recall': 0.7098968619705947, 'f1-score': 0.7161833075049812, 'support': 4557.0} | {'precision': 0.8784346378018318, 'recall': 0.9299250771264874, 'f1-score': 0.9034467994005567, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9991870653057537, 'f1-score': 0.9995933673699905, 'support': 11071.0}                | {'precision': 0.9237405106970324, 'recall': 0.9209439933947984, 'f1-score': 0.9223401323042998, 'support': 14534.0} | 0.9186   | {'precision': 0.8811893086793285, 'recall': 0.8899882494494086, 'f1-score': 0.885390901644957, 'support': 32431.0}  | {'precision': 0.9183379896562086, 'recall': 0.9186272393697388, 'f1-score': 0.9184224283310388, 'support': 32431.0} |
+| 0.002         | 36.0  | 2916 | 0.7326          | {'precision': 0.7282428266540194, 'recall': 0.673908272986614, 'f1-score': 0.7000227946204696, 'support': 4557.0}  | {'precision': 0.8831658291457286, 'recall': 0.9294843543411194, 'f1-score': 0.9057333047025982, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9141366223908919, 'recall': 0.9280996284574102, 'f1-score': 0.9210652099692729, 'support': 14534.0} | 0.9170   | {'precision': 0.8813863195476599, 'recall': 0.8828504824270013, 'f1-score': 0.8816940360534948, 'support': 32431.0} | {'precision': 0.9151604174161526, 'recall': 0.9169930005241899, 'f1-score': 0.9158636638576222, 'support': 32431.0} |
+| 0.002         | 37.0  | 2997 | 0.7374          | {'precision': 0.7153202081918986, 'recall': 0.6936581084046521, 'f1-score': 0.7043226381461676, 'support': 4557.0} | {'precision': 0.8850918410935498, 'recall': 0.9131776112825033, 'f1-score': 0.8989154013015185, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9187726868022739, 'recall': 0.9230081188936288, 'f1-score': 0.9208855328642527, 'support': 14534.0} | 0.9163   | {'precision': 0.8797961840219305, 'recall': 0.8824383781259115, 'f1-score': 0.8810196018083942, 'support': 32431.0} | {'precision': 0.9155570227916499, 'recall': 0.91634547192501, 'f1-score': 0.9159103209784385, 'support': 32431.0}   |
+| 0.0012        | 38.0  | 3078 | 0.7381          | {'precision': 0.7077863286555002, 'recall': 0.6861970594689488, 'f1-score': 0.6968245125348189, 'support': 4557.0} | {'precision': 0.8841331603977518, 'recall': 0.9012780960775673, 'f1-score': 0.8926233085988651, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9164046479835953, 'recall': 0.922457685427274, 'f1-score': 0.9194212042243862, 'support': 14534.0}  | 0.9142   | {'precision': 0.8770810342592118, 'recall': 0.877460628724163, 'f1-score': 0.8772059650699272, 'support': 32431.0}  | {'precision': 0.9133700963405134, 'recall': 0.9142178779562764, 'f1-score': 0.9137602710507441, 'support': 32431.0} |
+| 0.0012        | 39.0  | 3159 | 0.7733          | {'precision': 0.719351100811124, 'recall': 0.6811498793065613, 'f1-score': 0.6997294860234445, 'support': 4557.0}  | {'precision': 0.8751555371215264, 'recall': 0.9299250771264874, 'f1-score': 0.9017094017094017, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9171165015374103, 'recall': 0.9234897481766892, 'f1-score': 0.9202920909184409, 'support': 14534.0} | 0.9160   | {'precision': 0.8779057848675151, 'recall': 0.8836185946331498, 'f1-score': 0.8804214533932313, 'support': 32431.0} | {'precision': 0.9146860137975935, 'recall': 0.9159754555826216, 'f1-score': 0.9151944475074327, 'support': 32431.0} |
+| 0.0012        | 40.0  | 3240 | 0.8124          | {'precision': 0.7218905472636816, 'recall': 0.6368224709238535, 'f1-score': 0.6766934825696631, 'support': 4557.0} | {'precision': 0.8754237288135593, 'recall': 0.9105332745702953, 'f1-score': 0.8926333981421473, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.999819347845723, 'f1-score': 0.9999096657633243, 'support': 11071.0}                 | {'precision': 0.9050861033239888, 'recall': 0.9329847254713086, 'f1-score': 0.9188236888467272, 'support': 14534.0} | 0.9126   | {'precision': 0.8756000948503074, 'recall': 0.870039954702795, 'f1-score': 0.8720150588304654, 'support': 32431.0}  | {'precision': 0.9096701640488858, 'recall': 0.9126144738059264, 'f1-score': 0.9106490945027469, 'support': 32431.0} |
+| 0.0012        | 41.0  | 3321 | 0.8042          | {'precision': 0.7228620436167607, 'recall': 0.6473557164801405, 'f1-score': 0.6830284788145403, 'support': 4557.0} | {'precision': 0.9088078291814946, 'recall': 0.9003966505068312, 'f1-score': 0.9045826876245294, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9038717402873869, 'recall': 0.9348424384202559, 'f1-score': 0.9190962592166678, 'support': 14534.0} | 0.9142   | {'precision': 0.8838854032714106, 'recall': 0.8706261198325222, 'f1-score': 0.876665565144344, 'support': 32431.0}  | {'precision': 0.911598136675134, 'recall': 0.9142487126514754, 'f1-score': 0.9125128397228092, 'support': 32431.0}  |
+| 0.0012        | 42.0  | 3402 | 0.7728          | {'precision': 0.6918211559432933, 'recall': 0.696071977177968, 'f1-score': 0.6939400568803326, 'support': 4557.0}  | {'precision': 0.8922808547754034, 'recall': 0.9017188188629353, 'f1-score': 0.8969750109601051, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9183870745011393, 'recall': 0.9151644419980735, 'f1-score': 0.9167729262156668, 'support': 14534.0} | 0.9124   | {'precision': 0.8756222713049591, 'recall': 0.8782162279904596, 'f1-score': 0.8769107072444358, 'support': 32431.0} | {'precision': 0.9125852427590434, 'recall': 0.9123677962443342, 'f1-score': 0.9124725980114123, 'support': 32431.0} |
+| 0.0012        | 43.0  | 3483 | 0.7433          | {'precision': 0.7181797702185176, 'recall': 0.6995830590300637, 'f1-score': 0.7087594486438418, 'support': 4557.0} | {'precision': 0.9005281690140845, 'recall': 0.9017188188629353, 'f1-score': 0.9011231006386258, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9189078498293516, 'recall': 0.9262419155084629, 'f1-score': 0.9225603070175438, 'support': 14534.0} | 0.9178   | {'precision': 0.8844039472654884, 'recall': 0.8818633668310809, 'f1-score': 0.8830994228054124, 'support': 32431.0} | {'precision': 0.9170993900218476, 'recall': 0.9178255372945638, 'f1-score': 0.9174387654537162, 'support': 32431.0} |
+| 0.0009        | 44.0  | 3564 | 0.7703          | {'precision': 0.7382999044890163, 'recall': 0.6785165679174896, 'f1-score': 0.7071469411092054, 'support': 4557.0} | {'precision': 0.9092534644613322, 'recall': 0.8964301454385192, 'f1-score': 0.9027962716378164, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9130289234065345, 'recall': 0.9382826475849732, 'f1-score': 0.9254835425856802, 'support': 14534.0} | 0.9199   | {'precision': 0.8901455730892207, 'recall': 0.8782847587159609, 'f1-score': 0.8838453975635852, 'support': 32431.0} | {'precision': 0.9179023510964751, 'recall': 0.9198914618728994, 'f1-score': 0.9186392999395205, 'support': 32431.0} |
+| 0.0009        | 45.0  | 3645 | 0.7518          | {'precision': 0.7160072760345612, 'recall': 0.6910247970155804, 'f1-score': 0.7032942490228922, 'support': 4557.0} | {'precision': 0.8929503916449086, 'recall': 0.9043631555751432, 'f1-score': 0.8986205386468141, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9174224343675418, 'recall': 0.9256914820421082, 'f1-score': 0.9215384088496181, 'support': 14534.0} | 0.9166   | {'precision': 0.8815950255117528, 'recall': 0.8802472771389234, 'f1-score': 0.8808520078602406, 'support': 32431.0} | {'precision': 0.9155982626693486, 'recall': 0.9165613147914032, 'f1-score': 0.9160377757893605, 'support': 32431.0} |
+| 0.0009        | 46.0  | 3726 | 0.7502          | {'precision': 0.7151016678090016, 'recall': 0.6868553873162168, 'f1-score': 0.7006939780613387, 'support': 4557.0} | {'precision': 0.8867761452031115, 'recall': 0.9043631555751432, 'f1-score': 0.8954833078769365, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9994580435371692, 'f1-score': 0.9997289483194796, 'support': 11071.0}                | {'precision': 0.9169335604770017, 'recall': 0.9258290904086969, 'f1-score': 0.9213598548392617, 'support': 14534.0} | 0.9159   | {'precision': 0.8797028433722787, 'recall': 0.8791264192093065, 'f1-score': 0.8793165222742542, 'support': 32431.0} | {'precision': 0.9148199482484113, 'recall': 0.9158829514970245, 'f1-score': 0.9152957787511048, 'support': 32431.0} |
+| 0.0009        | 47.0  | 3807 | 0.7463          | {'precision': 0.7113035753941817, 'recall': 0.7028746982664034, 'f1-score': 0.7070640176600441, 'support': 4557.0} | {'precision': 0.8820490744726647, 'recall': 0.9030409872190392, 'f1-score': 0.8924216027874564, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9990064131514769, 'f1-score': 0.9995029596493606, 'support': 11071.0}                | {'precision': 0.9212100378136817, 'recall': 0.9219072519609193, 'f1-score': 0.921558513016266, 'support': 14534.0}  | 0.9161   | {'precision': 0.8786406719201321, 'recall': 0.8817073376494596, 'f1-score': 0.8801367732782818, 'support': 32431.0} | {'precision': 0.9158720493550557, 'recall': 0.9161296290586167, 'f1-score': 0.9159885307162297, 'support': 32431.0} |
+| 0.0009        | 48.0  | 3888 | 0.7590          | {'precision': 0.7180132753490501, 'recall': 0.6883914856265086, 'f1-score': 0.702890432444544, 'support': 4557.0}  | {'precision': 0.8880726015557476, 'recall': 0.9056853239312472, 'f1-score': 0.8967924939995635, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9997290217685846, 'f1-score': 0.9998644925245043, 'support': 11071.0}                | {'precision': 0.9176430517711172, 'recall': 0.926861153158112, 'f1-score': 0.9222290682549462, 'support': 14534.0}  | 0.9167   | {'precision': 0.8809322321689788, 'recall': 0.8801667461211131, 'f1-score': 0.8804441218058895, 'support': 32431.0} | {'precision': 0.9156377337466323, 'recall': 0.9167463229625975, 'f1-score': 0.916131816604205, 'support': 32431.0}  |
+| 0.0009        | 49.0  | 3969 | 0.7620          | {'precision': 0.7186425131850493, 'recall': 0.6877331577792407, 'f1-score': 0.7028481722359273, 'support': 4557.0} | {'precision': 0.8884083044982699, 'recall': 0.9052446011458792, 'f1-score': 0.8967474350578476, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.999819347845723, 'f1-score': 0.9999096657633243, 'support': 11071.0}                 | {'precision': 0.917489277690789, 'recall': 0.927273978257878, 'f1-score': 0.9223556787461931, 'support': 14534.0}   | 0.9168   | {'precision': 0.8811350238435272, 'recall': 0.8800177712571802, 'f1-score': 0.8804652379508231, 'support': 32431.0} | {'precision': 0.9156807233032831, 'recall': 0.9168388270481946, 'f1-score': 0.9161948874715029, 'support': 32431.0} |
+| 0.0004        | 50.0  | 4050 | 0.7657          | {'precision': 0.7186853596874282, 'recall': 0.6861970594689488, 'f1-score': 0.7020655590480467, 'support': 4557.0} | {'precision': 0.8887445887445887, 'recall': 0.9048038783605112, 'f1-score': 0.89670233675475, 'support': 2269.0}   | {'precision': 1.0, 'recall': 0.999819347845723, 'f1-score': 0.9999096657633243, 'support': 11071.0}                 | {'precision': 0.9170804707162779, 'recall': 0.9276179991743498, 'f1-score': 0.9223191380194973, 'support': 14534.0} | 0.9167   | {'precision': 0.8811276047870737, 'recall': 0.8796095712123833, 'f1-score': 0.8802491748964045, 'support': 32431.0} | {'precision': 0.9155270641468799, 'recall': 0.9167463229625975, 'f1-score': 0.9160653885578494, 'support': 32431.0} |
 ### Framework versions

meta_data/README_s42_e50.md CHANGED Viewed

@@ -17,12 +17,12 @@ model-index:
       name: essays_su_g
       type: essays_su_g
       config: sep_tok
-      split: train[20%:40%]
       args: sep_tok
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9246926072425107
 ---
 <!-- 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: 0.7212
-- Claim: {'precision': 0.7261961155850308, 'recall': 0.7041800643086816, 'f1-score': 0.715018656716418, 'support': 4354.0}
-- Majorclaim: {'precision': 0.9431380932022232, 'recall': 0.9391230310770541, 'f1-score': 0.9411262798634812, 'support': 2349.0}
-- O: {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}
-- Premise: {'precision': 0.9136578869488015, 'recall': 0.9233587557948257, 'f1-score': 0.9184827073261436, 'support': 13374.0}
-- Accuracy: 0.9247
-- Macro avg: {'precision': 0.8957480239340139, 'recall': 0.8916654627951404, 'f1-score': 0.8936569109765107, 'support': 32613.0}
-- Weighted avg: {'precision': 0.923942901549766, 'recall': 0.9246926072425107, 'f1-score': 0.9242843219121959, 'support': 32613.0}
 ## Model description
@@ -68,58 +68,58 @@ The following hyperparameters were used during training:
 ### Training results
-| Training Loss | Epoch | Step | Validation Loss | Claim                                                                                                               | Majorclaim                                                                                                         | O                                                                                                                   | Premise                                                                                                             | Accuracy | Macro avg                                                                                                           | Weighted avg                                                                                                        |
-|:-------------:|:-----:|:----:|:---------------:|:-------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:--------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|
-| No log        | 1.0   | 81   | 0.2755          | {'precision': 0.6588785046728972, 'recall': 0.3562241616903996, 'f1-score': 0.46243291592128805, 'support': 4354.0} | {'precision': 0.8096955128205128, 'recall': 0.8603661132396765, 'f1-score': 0.8342621259029929, 'support': 2349.0} | {'precision': 0.9987253027405991, 'recall': 1.0, 'f1-score': 0.9993622448979592, 'support': 12536.0}                | {'precision': 0.8401157057392676, 'recall': 0.955510692388216, 'f1-score': 0.8941052999825083, 'support': 13374.0}  | 0.8858   | {'precision': 0.8268537564933192, 'recall': 0.793025241829573, 'f1-score': 0.7975406466761871, 'support': 32613.0}  | {'precision': 0.8746959682542021, 'recall': 0.8857510808573268, 'f1-score': 0.8726239240080429, 'support': 32613.0} |
-| No log        | 2.0   | 162  | 0.2518          | {'precision': 0.5518482172064115, 'recall': 0.77491961414791, 'f1-score': 0.6446312571646924, 'support': 4354.0}    | {'precision': 0.9019180470793374, 'recall': 0.8808003405704555, 'f1-score': 0.8912341158733577, 'support': 2349.0} | {'precision': 0.9999202106439001, 'recall': 0.9996809189534142, 'f1-score': 0.9998005504806733, 'support': 12536.0} | {'precision': 0.9324023303632625, 'recall': 0.8137430835950351, 'f1-score': 0.8690409646250897, 'support': 13374.0} | 0.8849   | {'precision': 0.8465222013232279, 'recall': 0.8672859893167036, 'f1-score': 0.8511767220359533, 'support': 32613.0} | {'precision': 0.9053537287957648, 'recall': 0.8848618649004998, 'f1-score': 0.8909418634778542, 'support': 32613.0} |
-| No log        | 3.0   | 243  | 0.2378          | {'precision': 0.6576186131386861, 'recall': 0.6621497473587505, 'f1-score': 0.6598764019226366, 'support': 4354.0}  | {'precision': 0.8661233993015134, 'recall': 0.9501915708812261, 'f1-score': 0.9062119366626066, 'support': 2349.0} | {'precision': 0.9997607273887382, 'recall': 0.9999202297383536, 'f1-score': 0.9998404722022812, 'support': 12536.0} | {'precision': 0.9097148086014946, 'recall': 0.8920293106026619, 'f1-score': 0.9007852612503775, 'support': 13374.0} | 0.9070   | {'precision': 0.8583043871076081, 'recall': 0.876072714645248, 'f1-score': 0.8666785180094754, 'support': 32613.0}  | {'precision': 0.9075314026721463, 'recall': 0.9070002759635728, 'f1-score': 0.907089072967282, 'support': 32613.0}  |
-| No log        | 4.0   | 324  | 0.2598          | {'precision': 0.696838347781744, 'recall': 0.6276986678915939, 'f1-score': 0.6604639922667954, 'support': 4354.0}   | {'precision': 0.9028239202657807, 'recall': 0.9255002128565347, 'f1-score': 0.9140214420853479, 'support': 2349.0} | {'precision': 0.9991230867346939, 'recall': 0.9997606892150607, 'f1-score': 0.9994417862838917, 'support': 12536.0} | {'precision': 0.8963534463934785, 'recall': 0.9208165096455809, 'f1-score': 0.9084203149780549, 'support': 13374.0} | 0.9124   | {'precision': 0.8737847002939243, 'recall': 0.8684440199021926, 'f1-score': 0.8705868839035225, 'support': 32613.0} | {'precision': 0.9096864919608297, 'recall': 0.912366234323736, 'f1-score': 0.9107077581074873, 'support': 32613.0}  |
-| No log        | 5.0   | 405  | 0.3166          | {'precision': 0.6440713536201469, 'recall': 0.7048690858980248, 'f1-score': 0.6731001206272618, 'support': 4354.0}  | {'precision': 0.8606885508406725, 'recall': 0.9152830991911451, 'f1-score': 0.8871466886734063, 'support': 2349.0} | {'precision': 1.0, 'recall': 0.9996011486917677, 'f1-score': 0.9998005345673595, 'support': 12536.0}                | {'precision': 0.9234729698104376, 'recall': 0.8851502916105877, 'f1-score': 0.9039056236399038, 'support': 13374.0} | 0.9072   | {'precision': 0.8570582185678143, 'recall': 0.8762259063478812, 'f1-score': 0.8659882418769828, 'support': 32613.0} | {'precision': 0.9110652677714914, 'recall': 0.9072455769171802, 'f1-score': 0.9087455557232214, 'support': 32613.0} |
-| No log        | 6.0   | 486  | 0.3218          | {'precision': 0.7171775592828225, 'recall': 0.5695911805236564, 'f1-score': 0.634920634920635, 'support': 4354.0}   | {'precision': 0.8666925767586475, 'recall': 0.9493401447424435, 'f1-score': 0.9061357171881348, 'support': 2349.0} | {'precision': 0.9997607273887382, 'recall': 0.9999202297383536, 'f1-score': 0.9998404722022812, 'support': 12536.0} | {'precision': 0.8879236684705212, 'recall': 0.9324061612083147, 'f1-score': 0.9096214165876431, 'support': 13374.0} | 0.9111   | {'precision': 0.8678886329751823, 'recall': 0.8628144290531921, 'f1-score': 0.8626295602246735, 'support': 32613.0} | {'precision': 0.9065876667768511, 'recall': 0.9111397295556987, 'f1-score': 0.907375409471386, 'support': 32613.0}  |
-| 0.2088        | 7.0   | 567  | 0.4053          | {'precision': 0.7008142894667717, 'recall': 0.6127698667891593, 'f1-score': 0.6538414409998775, 'support': 4354.0}  | {'precision': 0.9254629629629629, 'recall': 0.8510004257130694, 'f1-score': 0.8866711022399646, 'support': 2349.0} | {'precision': 0.9998404722022812, 'recall': 0.9999202297383536, 'f1-score': 0.999880349379811, 'support': 12536.0}  | {'precision': 0.8890070167977886, 'recall': 0.9378645132346344, 'f1-score': 0.9127824473310774, 'support': 13374.0} | 0.9121   | {'precision': 0.8787811853574512, 'recall': 0.8503887588688042, 'f1-score': 0.8632938349876826, 'support': 32613.0} | {'precision': 0.9091110268457285, 'recall': 0.9120596081317266, 'f1-score': 0.909811074225195, 'support': 32613.0}  |
-| 0.2088        | 8.0   | 648  | 0.4514          | {'precision': 0.6421164021164021, 'recall': 0.6968305006890216, 'f1-score': 0.668355545764952, 'support': 4354.0}   | {'precision': 0.8676236044657097, 'recall': 0.9263516389953171, 'f1-score': 0.8960263537162857, 'support': 2349.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | {'precision': 0.9198069137340392, 'recall': 0.8833557649170032, 'f1-score': 0.9012129071630178, 'support': 13374.0} | 0.9064   | {'precision': 0.8573867300790377, 'recall': 0.8766344761503355, 'f1-score': 0.8663987016610639, 'support': 32613.0} | {'precision': 0.9098003963445191, 'recall': 0.9063870235795541, 'f1-score': 0.9077241398073883, 'support': 32613.0} |
-| 0.2088        | 9.0   | 729  | 0.4472          | {'precision': 0.7090777402221149, 'recall': 0.674552135966927, 'f1-score': 0.6913841807909605, 'support': 4354.0}   | {'precision': 0.9155787641427328, 'recall': 0.8957002979991485, 'f1-score': 0.9055304497525284, 'support': 2349.0} | {'precision': 1.0, 'recall': 0.9996809189534142, 'f1-score': 0.9998404340194671, 'support': 12536.0}                | {'precision': 0.9072648632798181, 'recall': 0.9253775983251085, 'f1-score': 0.9162317231167869, 'support': 13374.0} | 0.9183   | {'precision': 0.8829803419111664, 'recall': 0.8738277378111496, 'f1-score': 0.8782466969199356, 'support': 32613.0} | {'precision': 0.9170508471898524, 'recall': 0.9183147824487168, 'f1-score': 0.9175807345372852, 'support': 32613.0} |
-| 0.2088        | 10.0  | 810  | 0.4513          | {'precision': 0.6997590361445784, 'recall': 0.6669728984841525, 'f1-score': 0.6829727187206021, 'support': 4354.0}  | {'precision': 0.8780778395552026, 'recall': 0.9412515964240102, 'f1-score': 0.908567906307787, 'support': 2349.0}  | {'precision': 1.0, 'recall': 0.9998404594767071, 'f1-score': 0.9999202233745512, 'support': 12536.0}                | {'precision': 0.9119379613749907, 'recall': 0.914460894272469, 'f1-score': 0.9131976852716073, 'support': 13374.0}  | 0.9162   | {'precision': 0.8724437092686929, 'recall': 0.8806314621643347, 'f1-score': 0.8761646334186369, 'support': 32613.0} | {'precision': 0.9150220459300829, 'recall': 0.9161683991046515, 'f1-score': 0.9154630053129839, 'support': 32613.0} |
-| 0.2088        | 11.0  | 891  | 0.5218          | {'precision': 0.717554953327311, 'recall': 0.5473128158015618, 'f1-score': 0.6209771986970684, 'support': 4354.0}   | {'precision': 0.9115867845509539, 'recall': 0.8339719029374202, 'f1-score': 0.8710538016896399, 'support': 2349.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | {'precision': 0.8758814267132197, 'recall': 0.9566322715717063, 'f1-score': 0.9144776812837283, 'support': 13374.0} | 0.9098   | {'precision': 0.8762557911478711, 'recall': 0.8344792475776721, 'f1-score': 0.8516271704176092, 'support': 32613.0} | {'precision': 0.9050252912813879, 'recall': 0.9098212369300586, 'f1-score': 0.9050398495319223, 'support': 32613.0} |
-| 0.2088        | 12.0  | 972  | 0.4860          | {'precision': 0.7006886374815543, 'recall': 0.6543408360128617, 'f1-score': 0.6767220902612826, 'support': 4354.0}  | {'precision': 0.8791732909379968, 'recall': 0.9416773094934014, 'f1-score': 0.9093525179856115, 'support': 2349.0} | {'precision': 1.0, 'recall': 0.9998404594767071, 'f1-score': 0.9999202233745512, 'support': 12536.0}                | {'precision': 0.9089427280136326, 'recall': 0.9173022282039779, 'f1-score': 0.9131033456142309, 'support': 13374.0} | 0.9157   | {'precision': 0.872201164108296, 'recall': 0.878290208296737, 'f1-score': 0.8747745443089191, 'support': 32613.0}   | {'precision': 0.9139967630227935, 'recall': 0.9156777971974366, 'f1-score': 0.9146463407295841, 'support': 32613.0} |
-| 0.0253        | 13.0  | 1053 | 0.5282          | {'precision': 0.6758776896942242, 'recall': 0.6853468075333027, 'f1-score': 0.6805793134907059, 'support': 4354.0}  | {'precision': 0.914198606271777, 'recall': 0.8935717326521925, 'f1-score': 0.903767491926803, 'support': 2349.0}   | {'precision': 0.9996809952946806, 'recall': 0.9999202297383536, 'f1-score': 0.9998005982053838, 'support': 12536.0} | {'precision': 0.9107236399012197, 'recall': 0.9099745775385075, 'f1-score': 0.9103489546321576, 'support': 13374.0} | 0.9134   | {'precision': 0.8751202327904755, 'recall': 0.872203336865589, 'f1-score': 0.8736240895637626, 'support': 32613.0}  | {'precision': 0.9138148255025323, 'recall': 0.9133781007573667, 'f1-score': 0.9135835215352088, 'support': 32613.0} |
-| 0.0253        | 14.0  | 1134 | 0.5426          | {'precision': 0.7010741419963322, 'recall': 0.6146072576940744, 'f1-score': 0.6549993880797944, 'support': 4354.0}  | {'precision': 0.8624564122433166, 'recall': 0.9476372924648787, 'f1-score': 0.9030425963488844, 'support': 2349.0} | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | {'precision': 0.8997076023391812, 'recall': 0.9202931060266188, 'f1-score': 0.9098839358320396, 'support': 13374.0} | 0.9121   | {'precision': 0.8658095391447076, 'recall': 0.8706144714809814, 'f1-score': 0.866971508384752, 'support': 32613.0}  | {'precision': 0.9090570140832118, 'recall': 0.9120596081317266, 'f1-score': 0.9099868804586297, 'support': 32613.0} |
-| 0.0253        | 15.0  | 1215 | 0.6165          | {'precision': 0.7051282051282052, 'recall': 0.6316031235645384, 'f1-score': 0.6663435909861886, 'support': 4354.0}  | {'precision': 0.8293313631326191, 'recall': 0.955725840783312, 'f1-score': 0.8880537974683544, 'support': 2349.0}  | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | {'precision': 0.9083958132284166, 'recall': 0.9149842978914311, 'f1-score': 0.9116781523561184, 'support': 13374.0} | 0.9127   | {'precision': 0.8607138453723102, 'recall': 0.8755583729944088, 'f1-score': 0.8665089135222377, 'support': 32613.0} | {'precision': 0.910775248619985, 'recall': 0.9127341857541471, 'f1-score': 0.9111575738225369, 'support': 32613.0}  |
-| 0.0253        | 16.0  | 1296 | 0.6390          | {'precision': 0.6630434782608695, 'recall': 0.6864951768488746, 'f1-score': 0.674565560821485, 'support': 4354.0}   | {'precision': 0.8824470211915234, 'recall': 0.9395487441464453, 'f1-score': 0.9101030927835051, 'support': 2349.0} | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | {'precision': 0.9146836024179356, 'recall': 0.8938238372962465, 'f1-score': 0.9041334190523012, 'support': 13374.0} | 0.9102   | {'precision': 0.8650435254675821, 'recall': 0.8799469970074799, 'f1-score': 0.8721905464838953, 'support': 32613.0} | {'precision': 0.9115609681986994, 'recall': 0.9102198509796707, 'f1-score': 0.9107494233350908, 'support': 32613.0} |
-| 0.0253        | 17.0  | 1377 | 0.5812          | {'precision': 0.7280334728033473, 'recall': 0.6394120349104272, 'f1-score': 0.6808510638297871, 'support': 4354.0}  | {'precision': 0.9255226480836237, 'recall': 0.9046402724563644, 'f1-score': 0.9149623250807319, 'support': 2349.0} | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | {'precision': 0.8986960882647944, 'recall': 0.9379392851802004, 'f1-score': 0.9178984340699547, 'support': 13374.0} | 0.9195   | {'precision': 0.8880630522879414, 'recall': 0.8704779555713364, 'f1-score': 0.8784179840646908, 'support': 32613.0} | {'precision': 0.91678385690944, 'recall': 0.9195106245975532, 'f1-score': 0.9175833462373209, 'support': 32613.0}   |
-| 0.0253        | 18.0  | 1458 | 0.5839          | {'precision': 0.7488125174629785, 'recall': 0.6155259531465319, 'f1-score': 0.6756586411193748, 'support': 4354.0}  | {'precision': 0.9188615123194562, 'recall': 0.9208173690932312, 'f1-score': 0.9198384010206252, 'support': 2349.0} | {'precision': 0.9999202297383536, 'recall': 0.9999202297383536, 'f1-score': 0.9999202297383536, 'support': 12536.0} | {'precision': 0.8941600678733032, 'recall': 0.9456407955735008, 'f1-score': 0.9191801729776873, 'support': 13374.0} | 0.9206   | {'precision': 0.8904385818485229, 'recall': 0.8704760868879043, 'f1-score': 0.8786493612140102, 'support': 32613.0} | {'precision': 0.9171873835957982, 'recall': 0.9206451415079876, 'f1-score': 0.9177516254510409, 'support': 32613.0} |
-| 0.0099        | 19.0  | 1539 | 0.6211          | {'precision': 0.7007197585326214, 'recall': 0.6931557188791916, 'f1-score': 0.6969172151021822, 'support': 4354.0}  | {'precision': 0.9397590361445783, 'recall': 0.929757343550447, 'f1-score': 0.93473143590841, 'support': 2349.0}    | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | {'precision': 0.9101658362460028, 'recall': 0.9151338417825632, 'f1-score': 0.9126430781850042, 'support': 13374.0} | 0.9191   | {'precision': 0.8876611577308006, 'recall': 0.8844917834876388, 'f1-score': 0.8860629606184716, 'support': 32613.0} | {'precision': 0.9188662710731514, 'recall': 0.9191426731671419, 'f1-score': 0.9189970320181106, 'support': 32613.0} |
-| 0.0099        | 20.0  | 1620 | 0.6080          | {'precision': 0.7457861287648522, 'recall': 0.6198897565457051, 'f1-score': 0.6770349931017183, 'support': 4354.0}  | {'precision': 0.9298690325306295, 'recall': 0.9369944657300979, 'f1-score': 0.933418150975403, 'support': 2349.0}  | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | {'precision': 0.8932727788816349, 'recall': 0.9412292507851054, 'f1-score': 0.916624189907522, 'support': 13374.0}  | 0.9206   | {'precision': 0.8922319850442791, 'recall': 0.8745084256998155, 'f1-score': 0.8817593618157333, 'support': 32613.0} | {'precision': 0.9172429800024408, 'recall': 0.9205838162695857, 'f1-score': 0.9178806455243597, 'support': 32613.0} |
-| 0.0099        | 21.0  | 1701 | 0.6419          | {'precision': 0.6884319927699954, 'recall': 0.6998162609095085, 'f1-score': 0.6940774487471526, 'support': 4354.0}  | {'precision': 0.875686274509804, 'recall': 0.9506172839506173, 'f1-score': 0.9116146152275975, 'support': 2349.0}  | {'precision': 0.9999202361011407, 'recall': 1.0, 'f1-score': 0.999960116459937, 'support': 12536.0}                 | {'precision': 0.9188549618320611, 'recall': 0.9000299087782264, 'f1-score': 0.9093450177532674, 'support': 13374.0} | 0.9154   | {'precision': 0.8707233663032503, 'recall': 0.8876158634095881, 'f1-score': 0.8787492995469885, 'support': 32613.0} | {'precision': 0.916143448767362, 'recall': 0.9153711710054273, 'f1-score': 0.9156004118108944, 'support': 32613.0}  |
-| 0.0099        | 22.0  | 1782 | 0.6659          | {'precision': 0.7114634146341463, 'recall': 0.6699586587046394, 'f1-score': 0.6900875325289804, 'support': 4354.0}  | {'precision': 0.9280792420327304, 'recall': 0.9174116645381013, 'f1-score': 0.9227146221365875, 'support': 2349.0} | {'precision': 0.9999202361011407, 'recall': 1.0, 'f1-score': 0.999960116459937, 'support': 12536.0}                 | {'precision': 0.9058883843562326, 'recall': 0.9248541947061463, 'f1-score': 0.9152730501701939, 'support': 13374.0} | 0.9192   | {'precision': 0.8863378192810625, 'recall': 0.8780561294872218, 'f1-score': 0.8820088303239246, 'support': 32613.0} | {'precision': 0.91767458311091, 'recall': 0.9191733357863429, 'f1-score': 0.9182982110492126, 'support': 32613.0}   |
-| 0.0099        | 23.0  | 1863 | 0.6352          | {'precision': 0.6875731336297684, 'recall': 0.6747818098300413, 'f1-score': 0.6811174220470616, 'support': 4354.0}  | {'precision': 0.9365221278497988, 'recall': 0.8918688803746275, 'f1-score': 0.9136502398604448, 'support': 2349.0} | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | {'precision': 0.9049970518867925, 'recall': 0.9181247196052041, 'f1-score': 0.9115136218543538, 'support': 13374.0} | 0.9152   | {'precision': 0.88227307834159, 'recall': 0.8711739098870567, 'f1-score': 0.8765603492600376, 'support': 32613.0}   | {'precision': 0.9147583624345246, 'recall': 0.9151871952902217, 'f1-score': 0.9149061057787342, 'support': 32613.0} |
-| 0.0099        | 24.0  | 1944 | 0.6427          | {'precision': 0.6841642872831101, 'recall': 0.7154340836012861, 'f1-score': 0.6994498708880655, 'support': 4354.0}  | {'precision': 0.8958502847843776, 'recall': 0.9374201787994891, 'f1-score': 0.9161639276055753, 'support': 2349.0} | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | {'precision': 0.9227825820769878, 'recall': 0.9016001196351129, 'f1-score': 0.9120683786543625, 'support': 13374.0} | 0.9171   | {'precision': 0.8756992885361189, 'recall': 0.8885936529435605, 'f1-score': 0.8819105726065732, 'support': 32613.0} | {'precision': 0.9186673375183761, 'recall': 0.9171189402998804, 'f1-score': 0.9177621279849207, 'support': 32613.0} |
-| 0.0049        | 25.0  | 2025 | 0.6522          | {'precision': 0.708672401767031, 'recall': 0.7000459347726229, 'f1-score': 0.7043327556325824, 'support': 4354.0}   | {'precision': 0.9328263624841572, 'recall': 0.9399744572158365, 'f1-score': 0.9363867684478372, 'support': 2349.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | {'precision': 0.9132672085912447, 'recall': 0.9156572454015254, 'f1-score': 0.9144606653474219, 'support': 13374.0} | 0.9210   | {'precision': 0.8886914932106081, 'recall': 0.8889194093474961, 'f1-score': 0.8887950473569604, 'support': 32613.0} | {'precision': 0.9207004694590575, 'recall': 0.9210437555575998, 'f1-score': 0.9208669633417549, 'support': 32613.0} |
-| 0.0049        | 26.0  | 2106 | 0.6482          | {'precision': 0.6792656587473002, 'recall': 0.7223242994947175, 'f1-score': 0.70013357079252, 'support': 4354.0}    | {'precision': 0.9304384485666105, 'recall': 0.9395487441464453, 'f1-score': 0.9349714043634824, 'support': 2349.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | {'precision': 0.9179349904397706, 'recall': 0.8974128906834156, 'f1-score': 0.9075579416991192, 'support': 13374.0} | 0.9165   | {'precision': 0.8819097744384202, 'recall': 0.8898214835811445, 'f1-score': 0.8856657292137804, 'support': 32613.0} | {'precision': 0.9185167005798364, 'recall': 0.9165056879158617, 'f1-score': 0.9173737254580834, 'support': 32613.0} |
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-| 0.0049        | 28.0  | 2268 | 0.6860          | {'precision': 0.7025226082817706, 'recall': 0.6779972439136426, 'f1-score': 0.6900420757363254, 'support': 4354.0}  | {'precision': 0.9343283582089552, 'recall': 0.9327373350361856, 'f1-score': 0.9335321687260333, 'support': 2349.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | {'precision': 0.9065779748706578, 'recall': 0.9171526843128458, 'f1-score': 0.9118346714243236, 'support': 13374.0} | 0.9182   | {'precision': 0.8858572353403459, 'recall': 0.8819718158156685, 'f1-score': 0.8838522289716705, 'support': 32613.0} | {'precision': 0.9172444910254145, 'recall': 0.9181921319719131, 'f1-score': 0.9176766061914672, 'support': 32613.0} |
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-| 0.0026        | 34.0  | 2754 | 0.6951          | {'precision': 0.7258522727272727, 'recall': 0.7041800643086816, 'f1-score': 0.7148519468407553, 'support': 4354.0}  | {'precision': 0.9354430379746835, 'recall': 0.9438058748403576, 'f1-score': 0.9396058486967578, 'support': 2349.0} | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | {'precision': 0.914936220706022, 'recall': 0.9224614924480335, 'f1-score': 0.9186834462729914, 'support': 13374.0}  | 0.9246   | {'precision': 0.8940578828519945, 'recall': 0.8925919153338566, 'f1-score': 0.8932753387721986, 'support': 32613.0} | {'precision': 0.9238669704528689, 'recall': 0.9246312820041088, 'f1-score': 0.9242195414603059, 'support': 32613.0} |
-| 0.0026        | 35.0  | 2835 | 0.7126          | {'precision': 0.7421479229989868, 'recall': 0.6729444189251264, 'f1-score': 0.7058540110816671, 'support': 4354.0}  | {'precision': 0.9271221532091097, 'recall': 0.9531715623669647, 'f1-score': 0.939966414777498, 'support': 2349.0}  | {'precision': 1.0, 'recall': 0.9999202297383536, 'f1-score': 0.9999601132782897, 'support': 12536.0}                | {'precision': 0.9082756106452788, 'recall': 0.9314341259159563, 'f1-score': 0.9197091070176086, 'support': 13374.0} | 0.9248   | {'precision': 0.8943864217133439, 'recall': 0.8893675842366002, 'f1-score': 0.8913724115387659, 'support': 32613.0} | {'precision': 0.9227118023915538, 'recall': 0.9248152577193144, 'f1-score': 0.923464846836294, 'support': 32613.0}  |
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-| 0.001         | 38.0  | 3078 | 0.7160          | {'precision': 0.7242664182580345, 'recall': 0.7142857142857143, 'f1-score': 0.7192414431082331, 'support': 4354.0}  | {'precision': 0.9260636100784799, 'recall': 0.9544487015751384, 'f1-score': 0.940041928721174, 'support': 2349.0}  | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | {'precision': 0.9180511899416255, 'recall': 0.9172274562584118, 'f1-score': 0.9176391382405745, 'support': 13374.0} | 0.9246   | {'precision': 0.892095304569535, 'recall': 0.8964904680298161, 'f1-score': 0.8942306275174954, 'support': 32613.0}  | {'precision': 0.9242570759957419, 'recall': 0.9246312820041088, 'f1-score': 0.9244240507984156, 'support': 32613.0} |
-| 0.001         | 39.0  | 3159 | 0.7223          | {'precision': 0.7233415233415234, 'recall': 0.6761598530087276, 'f1-score': 0.6989553656220323, 'support': 4354.0}  | {'precision': 0.9333051920641621, 'recall': 0.9412515964240102, 'f1-score': 0.937261551504875, 'support': 2349.0}  | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | {'precision': 0.907391113066432, 'recall': 0.9253028263795424, 'f1-score': 0.9162594402487784, 'support': 13374.0}  | 0.9219   | {'precision': 0.8910094571180294, 'recall': 0.8856785689530701, 'f1-score': 0.8881190893439215, 'support': 32613.0} | {'precision': 0.920283679359095, 'recall': 0.9219023088952258, 'f1-score': 0.9209497071808923, 'support': 32613.0}  |
-| 0.001         | 40.0  | 3240 | 0.7755          | {'precision': 0.6946236559139785, 'recall': 0.6676619200734957, 'f1-score': 0.680875980794004, 'support': 4354.0}   | {'precision': 0.9538602101416171, 'recall': 0.8888888888888888, 'f1-score': 0.9202291758483913, 'support': 2349.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | {'precision': 0.9006057067795373, 'recall': 0.9227605802302976, 'f1-score': 0.9115485467370831, 'support': 13374.0} | 0.9160   | {'precision': 0.8872723932087833, 'recall': 0.8698278472981706, 'f1-score': 0.8781634258448696, 'support': 32613.0} | {'precision': 0.915147632966659, 'recall': 0.915953760770245, 'f1-score': 0.9153773838195417, 'support': 32613.0}   |
-| 0.001         | 41.0  | 3321 | 0.7457          | {'precision': 0.7067362213653889, 'recall': 0.7156637574644006, 'f1-score': 0.7111719730685837, 'support': 4354.0}  | {'precision': 0.9272111722386797, 'recall': 0.9327373350361856, 'f1-score': 0.9299660441426145, 'support': 2349.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | {'precision': 0.9178504321683577, 'recall': 0.9131149992522806, 'f1-score': 0.9154765920761648, 'support': 13374.0} | 0.9216   | {'precision': 0.8879494564431065, 'recall': 0.8903790229382167, 'f1-score': 0.8891536523218408, 'support': 32613.0} | {'precision': 0.9219170340426572, 'recall': 0.9215650200840155, 'f1-score': 0.9217341842473323, 'support': 32613.0} |
-| 0.001         | 42.0  | 3402 | 0.7306          | {'precision': 0.6782229603487648, 'recall': 0.7503445107946716, 'f1-score': 0.7124631992149166, 'support': 4354.0}  | {'precision': 0.9470666078517865, 'recall': 0.9140059599829715, 'f1-score': 0.9302426343154246, 'support': 2349.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | {'precision': 0.9246517355499115, 'recall': 0.8983101540302079, 'f1-score': 0.9112906284370614, 'support': 13374.0} | 0.9188   | {'precision': 0.8874853259376158, 'recall': 0.8906651562019627, 'f1-score': 0.8884991154918507, 'support': 32613.0} | {'precision': 0.9223295784640139, 'recall': 0.9187747217367308, 'f1-score': 0.9202099034773231, 'support': 32613.0} |
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-| 0.001         | 44.0  | 3564 | 0.7186          | {'precision': 0.7104247104247104, 'recall': 0.718419843821773, 'f1-score': 0.7143999086445129, 'support': 4354.0}   | {'precision': 0.9296545914069082, 'recall': 0.9395487441464453, 'f1-score': 0.9345754816853695, 'support': 2349.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | {'precision': 0.9188721804511278, 'recall': 0.9137879467623747, 'f1-score': 0.9163230111719278, 'support': 13374.0} | 0.9227   | {'precision': 0.8897378705706865, 'recall': 0.8929391336826483, 'f1-score': 0.8913246003754525, 'support': 32613.0} | {'precision': 0.923004457294864, 'recall': 0.9226995369944501, 'f1-score': 0.922844232671956, 'support': 32613.0}   |
-| 0.001         | 45.0  | 3645 | 0.7188          | {'precision': 0.7098515519568152, 'recall': 0.7248507119889757, 'f1-score': 0.7172727272727273, 'support': 4354.0}  | {'precision': 0.9367572156196944, 'recall': 0.9395487441464453, 'f1-score': 0.9381509032943677, 'support': 2349.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | {'precision': 0.9194726930320151, 'recall': 0.9126663675788844, 'f1-score': 0.9160568876880933, 'support': 13374.0} | 0.9231   | {'precision': 0.8915203651521312, 'recall': 0.8942664559285763, 'f1-score': 0.8928701295637971, 'support': 32613.0} | {'precision': 0.9236857741796463, 'recall': 0.9230981510440622, 'f1-score': 0.9233761611113508, 'support': 32613.0} |
-| 0.001         | 46.0  | 3726 | 0.7235          | {'precision': 0.7314059797380776, 'recall': 0.6798346348185577, 'f1-score': 0.7046780145220808, 'support': 4354.0}  | {'precision': 0.9440347071583514, 'recall': 0.9263516389953171, 'f1-score': 0.935109583154276, 'support': 2349.0}  | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | {'precision': 0.9069581056466303, 'recall': 0.9307611784058621, 'f1-score': 0.9187054872873537, 'support': 13374.0} | 0.9236   | {'precision': 0.8955996981357648, 'recall': 0.8842368630549342, 'f1-score': 0.8896232712409275, 'support': 32613.0} | {'precision': 0.9219555658115657, 'recall': 0.9235580903320761, 'f1-score': 0.9225617904835374, 'support': 32613.0} |
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-| 0.001         | 48.0  | 3888 | 0.7220          | {'precision': 0.7300194931773879, 'recall': 0.6881028938906752, 'f1-score': 0.7084417119886497, 'support': 4354.0}  | {'precision': 0.9431380932022232, 'recall': 0.9391230310770541, 'f1-score': 0.9411262798634812, 'support': 2349.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | {'precision': 0.909270940296318, 'recall': 0.9269478091819949, 'f1-score': 0.9180242890995262, 'support': 13374.0}  | 0.9240   | {'precision': 0.8956071316689823, 'recall': 0.888543433537431, 'f1-score': 0.8918980702379142, 'support': 32613.0}  | {'precision': 0.922654334460164, 'recall': 0.9240180296200902, 'f1-score': 0.9232182776136804, 'support': 32613.0}  |
-| 0.001         | 49.0  | 3969 | 0.7218          | {'precision': 0.7299638989169676, 'recall': 0.6966008268259072, 'f1-score': 0.7128922317546129, 'support': 4354.0}  | {'precision': 0.9431380932022232, 'recall': 0.9391230310770541, 'f1-score': 0.9411262798634812, 'support': 2349.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | {'precision': 0.9116542737245086, 'recall': 0.9259010019440705, 'f1-score': 0.9187224097636977, 'support': 13374.0} | 0.9247   | {'precision': 0.8961890664609249, 'recall': 0.890406214961758, 'f1-score': 0.893185230345448, 'support': 32613.0}   | {'precision': 0.9236242741731235, 'recall': 0.9247232698617116, 'f1-score': 0.924098731077748, 'support': 32613.0}  |
-| 0.0003        | 50.0  | 4050 | 0.7212          | {'precision': 0.7261961155850308, 'recall': 0.7041800643086816, 'f1-score': 0.715018656716418, 'support': 4354.0}   | {'precision': 0.9431380932022232, 'recall': 0.9391230310770541, 'f1-score': 0.9411262798634812, 'support': 2349.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 12536.0}                                              | {'precision': 0.9136578869488015, 'recall': 0.9233587557948257, 'f1-score': 0.9184827073261436, 'support': 13374.0} | 0.9247   | {'precision': 0.8957480239340139, 'recall': 0.8916654627951404, 'f1-score': 0.8936569109765107, 'support': 32613.0} | {'precision': 0.923942901549766, 'recall': 0.9246926072425107, 'f1-score': 0.9242843219121959, 'support': 32613.0}  |
 ### Framework versions

       name: essays_su_g
       type: essays_su_g
       config: sep_tok
+      split: train[40%:60%]
       args: sep_tok
     metrics:
     - name: Accuracy
       type: accuracy
+      value: 0.9167463229625975
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the essays_su_g dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.7657
+- Claim: {'precision': 0.7186853596874282, 'recall': 0.6861970594689488, 'f1-score': 0.7020655590480467, 'support': 4557.0}
+- Majorclaim: {'precision': 0.8887445887445887, 'recall': 0.9048038783605112, 'f1-score': 0.89670233675475, 'support': 2269.0}
+- O: {'precision': 1.0, 'recall': 0.999819347845723, 'f1-score': 0.9999096657633243, 'support': 11071.0}
+- Premise: {'precision': 0.9170804707162779, 'recall': 0.9276179991743498, 'f1-score': 0.9223191380194973, 'support': 14534.0}
+- Accuracy: 0.9167
+- Macro avg: {'precision': 0.8811276047870737, 'recall': 0.8796095712123833, 'f1-score': 0.8802491748964045, 'support': 32431.0}
+- Weighted avg: {'precision': 0.9155270641468799, 'recall': 0.9167463229625975, 'f1-score': 0.9160653885578494, 'support': 32431.0}
 ## Model description
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | Claim                                                                                                              | Majorclaim                                                                                                         | O                                                                                                                   | Premise                                                                                                             | Accuracy | Macro avg                                                                                                           | Weighted avg                                                                                                        |
+|:-------------:|:-----:|:----:|:---------------:|:------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:--------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|
+| No log        | 1.0   | 81   | 0.3158          | {'precision': 0.6002889477486154, 'recall': 0.5470704410796576, 'f1-score': 0.5724454649827784, 'support': 4557.0} | {'precision': 0.698526892771497, 'recall': 0.8986337593653592, 'f1-score': 0.7860447185813415, 'support': 2269.0}  | {'precision': 0.9975671292124707, 'recall': 1.0, 'f1-score': 0.9987820830889982, 'support': 11071.0}                | {'precision': 0.9051258677512096, 'recall': 0.8881243979633962, 'f1-score': 0.8965445389824622, 'support': 14534.0} | 0.8791   | {'precision': 0.8003772093709481, 'recall': 0.8334571496021033, 'f1-score': 0.8134542014088951, 'support': 32431.0} | {'precision': 0.8793943851252293, 'recall': 0.8791279948197712, 'f1-score': 0.8781740995293698, 'support': 32431.0} |
+| No log        | 2.0   | 162  | 0.2445          | {'precision': 0.680108254397835, 'recall': 0.5514592933947773, 'f1-score': 0.6090644692195831, 'support': 4557.0}  | {'precision': 0.8960229995208433, 'recall': 0.8241516086381666, 'f1-score': 0.8585858585858586, 'support': 2269.0} | {'precision': 0.9992776523702032, 'recall': 0.9996386956914461, 'f1-score': 0.999458141425088, 'support': 11071.0}  | {'precision': 0.8801849235905997, 'recall': 0.9431677445988716, 'f1-score': 0.9105885478942475, 'support': 14534.0} | 0.8991   | {'precision': 0.8638984574698704, 'recall': 0.8296043355808155, 'f1-score': 0.8444242542811943, 'support': 32431.0} | {'precision': 0.8938342965082798, 'recall': 0.8990780426135487, 'f1-score': 0.8949194640367888, 'support': 32431.0} |
+| No log        | 3.0   | 243  | 0.2267          | {'precision': 0.7079713847726111, 'recall': 0.60807548825982, 'f1-score': 0.6542320859402667, 'support': 4557.0}   | {'precision': 0.8866608544027899, 'recall': 0.8964301454385192, 'f1-score': 0.8915187376725839, 'support': 2269.0} | {'precision': 0.9992778479870013, 'recall': 0.9999096739228616, 'f1-score': 0.9995936611133684, 'support': 11071.0} | {'precision': 0.8973258501155497, 'recall': 0.935048850970139, 'f1-score': 0.9157990498332153, 'support': 14534.0}  | 0.9085   | {'precision': 0.872808984319488, 'recall': 0.8598660396478349, 'f1-score': 0.8652858836398586, 'support': 32431.0}  | {'precision': 0.9047762338408377, 'recall': 0.9085442940396534, 'f1-score': 0.9059516032151627, 'support': 32431.0} |
+| No log        | 4.0   | 324  | 0.2452          | {'precision': 0.6424741478360781, 'recall': 0.7362299758613122, 'f1-score': 0.6861642294713161, 'support': 4557.0} | {'precision': 0.9155636695572797, 'recall': 0.884089907448215, 'f1-score': 0.8995515695067264, 'support': 2269.0}  | {'precision': 0.9990941208442794, 'recall': 0.9962063047601842, 'f1-score': 0.9976481230212574, 'support': 11071.0} | {'precision': 0.9242435081193219, 'recall': 0.8889500481629283, 'f1-score': 0.9062532879739067, 'support': 14534.0} | 0.9038   | {'precision': 0.8703438615892398, 'recall': 0.8763690590581599, 'f1-score': 0.8724043024933017, 'support': 32431.0} | {'precision': 0.9095955973231696, 'recall': 0.9037649162838025, 'f1-score': 0.9060584182508294, 'support': 32431.0} |
+| No log        | 5.0   | 405  | 0.2841          | {'precision': 0.7332272606735614, 'recall': 0.6067588325652842, 'f1-score': 0.6640249759846301, 'support': 4557.0} | {'precision': 0.8794079233783195, 'recall': 0.8902600264433671, 'f1-score': 0.8848007008322383, 'support': 2269.0} | {'precision': 0.9992775219001174, 'recall': 0.9994580435371692, 'f1-score': 0.999367774566474, 'support': 11071.0}  | {'precision': 0.8973839110529758, 'recall': 0.9440621989816981, 'f1-score': 0.9201314377682404, 'support': 14534.0} | 0.9118   | {'precision': 0.8773241542512435, 'recall': 0.8601347753818797, 'f1-score': 0.8670812222878956, 'support': 32431.0} | {'precision': 0.9078434958291443, 'recall': 0.9118127717307515, 'f1-score': 0.9087220731552942, 'support': 32431.0} |
+| No log        | 6.0   | 486  | 0.3082          | {'precision': 0.7484258729250143, 'recall': 0.5738424402018872, 'f1-score': 0.6496087442553721, 'support': 4557.0} | {'precision': 0.8711186729051468, 'recall': 0.9026002644336713, 'f1-score': 0.8865800865800866, 'support': 2269.0} | {'precision': 0.9994572100597069, 'recall': 0.9979225002258152, 'f1-score': 0.9986892655367232, 'support': 11071.0} | {'precision': 0.889647180015452, 'recall': 0.9507362047612495, 'f1-score': 0.9191778088205947, 'support': 14534.0}  | 0.9105   | {'precision': 0.87716223397633, 'recall': 0.8562753524056559, 'f1-score': 0.8635139762981943, 'support': 32431.0}   | {'precision': 0.9059932736781678, 'recall': 0.9105177145323918, 'f1-score': 0.9061618943658084, 'support': 32431.0} |
+| 0.2223        | 7.0   | 567  | 0.3512          | {'precision': 0.629950495049505, 'recall': 0.7818740399385561, 'f1-score': 0.6977381768334475, 'support': 4557.0}  | {'precision': 0.8621688741721855, 'recall': 0.9180255619215514, 'f1-score': 0.8892209178228387, 'support': 2269.0} | {'precision': 0.9998190045248869, 'recall': 0.9979225002258152, 'f1-score': 0.9988698521766648, 'support': 11071.0} | {'precision': 0.9449996243143738, 'recall': 0.8653502132929682, 'f1-score': 0.9034227633516503, 'support': 14534.0} | 0.9026   | {'precision': 0.8592344995152377, 'recall': 0.8907930788447227, 'f1-score': 0.8723129275461503, 'support': 32431.0} | {'precision': 0.9136494810618672, 'recall': 0.9025623631710401, 'f1-score': 0.9061105026169647, 'support': 32431.0} |
+| 0.2223        | 8.0   | 648  | 0.3706          | {'precision': 0.6177710335525206, 'recall': 0.80403774412991, 'f1-score': 0.6987032799389779, 'support': 4557.0}   | {'precision': 0.8856292517006803, 'recall': 0.9180255619215514, 'f1-score': 0.9015364639688379, 'support': 2269.0} | {'precision': 0.9994574554661362, 'recall': 0.9983741306115076, 'f1-score': 0.998915499322187, 'support': 11071.0}  | {'precision': 0.9472075788830315, 'recall': 0.8530342644832806, 'f1-score': 0.8976577489773016, 'support': 14534.0} | 0.9003   | {'precision': 0.8625163299005921, 'recall': 0.8933679252865624, 'f1-score': 0.8742032480518261, 'support': 32431.0} | {'precision': 0.9144455555782818, 'recall': 0.9003114304215103, 'f1-score': 0.9045397397569994, 'support': 32431.0} |
+| 0.2223        | 9.0   | 729  | 0.4183          | {'precision': 0.7278645833333334, 'recall': 0.6133421110379635, 'f1-score': 0.6657139454567107, 'support': 4557.0} | {'precision': 0.8884479717813051, 'recall': 0.8880564125165271, 'f1-score': 0.8882521489971346, 'support': 2269.0} | {'precision': 0.9999094612947035, 'recall': 0.9975611959172613, 'f1-score': 0.9987339482727438, 'support': 11071.0} | {'precision': 0.8955360649299646, 'recall': 0.9413788358332187, 'f1-score': 0.9178854152690192, 'support': 14534.0} | 0.9107   | {'precision': 0.8779395203348266, 'recall': 0.8600846388262426, 'f1-score': 0.8676463644989021, 'support': 32431.0} | {'precision': 0.9071100542045434, 'recall': 0.9107335573987851, 'f1-score': 0.9079779452489347, 'support': 32431.0} |
+| 0.2223        | 10.0  | 810  | 0.5459          | {'precision': 0.6964871194379391, 'recall': 0.652622339258284, 'f1-score': 0.6738416222952305, 'support': 4557.0}  | {'precision': 0.8557073954983923, 'recall': 0.9382988100484795, 'f1-score': 0.8951019550136641, 'support': 2269.0} | {'precision': 0.9996382054992764, 'recall': 0.998283804534369, 'f1-score': 0.9989605459393501, 'support': 11071.0}  | {'precision': 0.9083259218717931, 'recall': 0.9135131415990092, 'f1-score': 0.9109121470961545, 'support': 14534.0} | 0.9075   | {'precision': 0.8650396605768502, 'recall': 0.8756795238600354, 'f1-score': 0.8697040675860997, 'support': 32431.0} | {'precision': 0.9060496255197702, 'recall': 0.9075267490980852, 'f1-score': 0.9065515080853328, 'support': 32431.0} |
+| 0.2223        | 11.0  | 891  | 0.5727          | {'precision': 0.7070834383665239, 'recall': 0.6155365371955234, 'f1-score': 0.6581417175035196, 'support': 4557.0} | {'precision': 0.876414273281114, 'recall': 0.8876156897311591, 'f1-score': 0.881979417560762, 'support': 2269.0}   | {'precision': 0.9999096820809249, 'recall': 1.0, 'f1-score': 0.9999548390010388, 'support': 11071.0}                | {'precision': 0.9002915065588976, 'recall': 0.9349800467868447, 'f1-score': 0.9173079519373565, 'support': 14534.0} | 0.9090   | {'precision': 0.8709247250718651, 'recall': 0.8595330684283817, 'f1-score': 0.8643459815006692, 'support': 32431.0} | {'precision': 0.9054793272287636, 'recall': 0.9089759797724399, 'f1-score': 0.9066330640790278, 'support': 32431.0} |
+| 0.2223        | 12.0  | 972  | 0.5661          | {'precision': 0.7407673860911271, 'recall': 0.6778582400702217, 'f1-score': 0.7079179557694512, 'support': 4557.0} | {'precision': 0.8644207066557108, 'recall': 0.9272807404142794, 'f1-score': 0.8947480331703169, 'support': 2269.0} | {'precision': 0.9999095431931253, 'recall': 0.998464456688646, 'f1-score': 0.999186477447347, 'support': 11071.0}   | {'precision': 0.9169374492282697, 'recall': 0.9319526627218935, 'f1-score': 0.9243840851702722, 'support': 14534.0} | 0.9186   | {'precision': 0.8805087712920582, 'recall': 0.8838890249737601, 'f1-score': 0.8815591378893468, 'support': 32431.0} | {'precision': 0.9168331226787283, 'recall': 0.9186272393697388, 'f1-score': 0.917429533390557, 'support': 32431.0}  |
+| 0.0294        | 13.0  | 1053 | 0.5764          | {'precision': 0.7221943887775552, 'recall': 0.6326530612244898, 'f1-score': 0.6744648496900223, 'support': 4557.0} | {'precision': 0.863672814755413, 'recall': 0.9493168796826796, 'f1-score': 0.9044719714465672, 'support': 2269.0}  | {'precision': 0.9999096167751266, 'recall': 0.9992773913828923, 'f1-score': 0.9995934041111363, 'support': 11071.0} | {'precision': 0.9055171023452725, 'recall': 0.9271363698912893, 'f1-score': 0.9161992180860105, 'support': 14534.0} | 0.9119   | {'precision': 0.8728234806633418, 'recall': 0.8770959255453377, 'f1-score': 0.8736823608334341, 'support': 32431.0} | {'precision': 0.909053016531805, 'recall': 0.9119361105115475, 'f1-score': 0.9098800911419986, 'support': 32431.0}  |
+| 0.0294        | 14.0  | 1134 | 0.5469          | {'precision': 0.6923565530383231, 'recall': 0.717577353522054, 'f1-score': 0.7047413793103449, 'support': 4557.0}  | {'precision': 0.8737864077669902, 'recall': 0.9519612163948876, 'f1-score': 0.9112001687407719, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.998464456688646, 'f1-score': 0.9992316384180792, 'support': 11071.0}                 | {'precision': 0.9258919757439007, 'recall': 0.903467730838035, 'f1-score': 0.9145424153781864, 'support': 14534.0}  | 0.9132   | {'precision': 0.8730087341373035, 'recall': 0.8928676893609057, 'f1-score': 0.8824289004618456, 'support': 32431.0} | {'precision': 0.9147298617643856, 'recall': 0.9131694983195091, 'f1-score': 0.9137390947680665, 'support': 32431.0} |
+| 0.0294        | 15.0  | 1215 | 0.6552          | {'precision': 0.7559304164470216, 'recall': 0.6293614219881501, 'f1-score': 0.6868638486408813, 'support': 4557.0} | {'precision': 0.8822055137844611, 'recall': 0.9308065226972234, 'f1-score': 0.9058546000428909, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9023924075660713, 'recall': 0.9420668776661622, 'f1-score': 0.9218029420675262, 'support': 14534.0} | 0.9171   | {'precision': 0.8851320844493885, 'recall': 0.8755361240685993, 'f1-score': 0.8786190564182342, 'support': 32431.0} | {'precision': 0.9137205288178378, 'recall': 0.9170855046097869, 'f1-score': 0.9143537536055225, 'support': 32431.0} |
+| 0.0294        | 16.0  | 1296 | 0.6048          | {'precision': 0.6899071696622556, 'recall': 0.7665130568356375, 'f1-score': 0.7261954261954263, 'support': 4557.0} | {'precision': 0.9050522648083623, 'recall': 0.9158219479947113, 'f1-score': 0.9104052573932091, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9360805599200114, 'recall': 0.9018164304389706, 'f1-score': 0.9186291000841041, 'support': 14534.0} | 0.9173   | {'precision': 0.8827599985976573, 'recall': 0.8960152772980452, 'f1-score': 0.8887961546485946, 'support': 32431.0} | {'precision': 0.92113920073012, 'recall': 0.9172705127809812, 'f1-score': 0.918776399254959, 'support': 32431.0}    |
+| 0.0294        | 17.0  | 1377 | 0.6666          | {'precision': 0.7134071340713407, 'recall': 0.6363835856923414, 'f1-score': 0.6726977499420088, 'support': 4557.0} | {'precision': 0.9003542958370239, 'recall': 0.8959894226531512, 'f1-score': 0.898166556218246, 'support': 2269.0}  | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9018486500864477, 'recall': 0.9331223338378973, 'f1-score': 0.9172189909373732, 'support': 14534.0} | 0.9116   | {'precision': 0.8789025199987031, 'recall': 0.8663512540265629, 'f1-score': 0.8720095330048165, 'support': 32431.0} | {'precision': 0.9087714991080675, 'recall': 0.9116277635595572, 'f1-score': 0.9097710324765249, 'support': 32431.0} |
+| 0.0294        | 18.0  | 1458 | 0.5898          | {'precision': 0.7184193478730296, 'recall': 0.7300855826201448, 'f1-score': 0.7242054854157598, 'support': 4557.0} | {'precision': 0.8937867338371117, 'recall': 0.9382988100484795, 'f1-score': 0.91550204257149, 'support': 2269.0}   | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9277948146083078, 'recall': 0.9159212880143113, 'f1-score': 0.9218198185721211, 'support': 14534.0} | 0.9200   | {'precision': 0.8850002240796123, 'recall': 0.8960538386514494, 'f1-score': 0.8903705453702524, 'support': 32431.0} | {'precision': 0.9206441029524512, 'recall': 0.9200456353488946, 'f1-score': 0.9202833015380038, 'support': 32431.0} |
+| 0.0093        | 19.0  | 1539 | 0.6108          | {'precision': 0.7151830192765866, 'recall': 0.7245995172262454, 'f1-score': 0.7198604752561586, 'support': 4557.0} | {'precision': 0.860223642172524, 'recall': 0.9493168796826796, 'f1-score': 0.9025769956002515, 'support': 2269.0}  | {'precision': 1.0, 'recall': 0.9950320657573841, 'f1-score': 0.9975098474215601, 'support': 11071.0}                | {'precision': 0.9289911851126347, 'recall': 0.9136507499655979, 'f1-score': 0.9212571111419453, 'support': 14534.0} | 0.9174   | {'precision': 0.8760994616404363, 'recall': 0.8956498031579767, 'f1-score': 0.8853011073549788, 'support': 32431.0} | {'precision': 0.9183773040411919, 'recall': 0.9173630168665783, 'f1-score': 0.9176816552958715, 'support': 32431.0} |
+| 0.0093        | 20.0  | 1620 | 0.6274          | {'precision': 0.7018174133558749, 'recall': 0.7287689269256089, 'f1-score': 0.7150392937883518, 'support': 4557.0} | {'precision': 0.8899003034243607, 'recall': 0.9048038783605112, 'f1-score': 0.8972902097902098, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.998464456688646, 'f1-score': 0.9992316384180792, 'support': 11071.0}                 | {'precision': 0.9266285395452644, 'recall': 0.9141323792486583, 'f1-score': 0.9203380437794403, 'support': 14534.0} | 0.9162   | {'precision': 0.879586564081375, 'recall': 0.886542410305856, 'f1-score': 0.8829747964440202, 'support': 32431.0}   | {'precision': 0.9175167258142971, 'recall': 0.9162221331442139, 'f1-score': 0.9168102169228345, 'support': 32431.0} |
+| 0.0093        | 21.0  | 1701 | 0.6812          | {'precision': 0.6964614440580896, 'recall': 0.7472021066491112, 'f1-score': 0.7209400804573365, 'support': 4557.0} | {'precision': 0.8683574879227053, 'recall': 0.9506390480387836, 'f1-score': 0.9076372817168105, 'support': 2269.0} | {'precision': 0.9999095431931253, 'recall': 0.998464456688646, 'f1-score': 0.999186477447347, 'support': 11071.0}   | {'precision': 0.9355852317360566, 'recall': 0.9014036053392046, 'f1-score': 0.9181764025650909, 'support': 14534.0} | 0.9163   | {'precision': 0.8750784267274943, 'recall': 0.8994273041789365, 'f1-score': 0.8864850605466462, 'support': 32431.0} | {'precision': 0.9192399941849548, 'recall': 0.916314637229811, 'f1-score': 0.917379120765938, 'support': 32431.0}   |
+| 0.0093        | 22.0  | 1782 | 0.6877          | {'precision': 0.7348341232227488, 'recall': 0.6804915514592934, 'f1-score': 0.7066195738862937, 'support': 4557.0} | {'precision': 0.8991266375545851, 'recall': 0.9074482150727192, 'f1-score': 0.9032682605834613, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.998464456688646, 'f1-score': 0.9992316384180792, 'support': 11071.0}                 | {'precision': 0.914037801843008, 'recall': 0.9349800467868447, 'f1-score': 0.9243903268596307, 'support': 14534.0}  | 0.9190   | {'precision': 0.8869996406550854, 'recall': 0.8803460675018758, 'f1-score': 0.8833774499368663, 'support': 32431.0} | {'precision': 0.9171589791287257, 'recall': 0.9189664210169283, 'f1-score': 0.917861415342362, 'support': 32431.0}  |
+| 0.0093        | 23.0  | 1863 | 0.6736          | {'precision': 0.7354206500956023, 'recall': 0.6752249286811499, 'f1-score': 0.7040384395378104, 'support': 4557.0} | {'precision': 0.8623853211009175, 'recall': 0.9528426619656236, 'f1-score': 0.90536013400335, 'support': 2269.0}   | {'precision': 0.9999095350099512, 'recall': 0.9983741306115076, 'f1-score': 0.9991412429378531, 'support': 11071.0} | {'precision': 0.9164510418085251, 'recall': 0.9260355029585798, 'f1-score': 0.9212183436002738, 'support': 14534.0} | 0.9174   | {'precision': 0.878541637003749, 'recall': 0.8881193060542152, 'f1-score': 0.8824395400198218, 'support': 32431.0}  | {'precision': 0.9157214424409951, 'recall': 0.9173630168665783, 'f1-score': 0.9161926989447983, 'support': 32431.0} |
+| 0.0093        | 24.0  | 1944 | 0.6322          | {'precision': 0.724040754389768, 'recall': 0.7329383366249725, 'f1-score': 0.7284623773173391, 'support': 4557.0}  | {'precision': 0.8789045785194695, 'recall': 0.9052446011458792, 'f1-score': 0.8918801563178463, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.998464456688646, 'f1-score': 0.9992316384180792, 'support': 11071.0}                 | {'precision': 0.9289526582103002, 'recall': 0.9221136645108022, 'f1-score': 0.9255205276060909, 'support': 14534.0} | 0.9204   | {'precision': 0.8829744977798845, 'recall': 0.8896902647425751, 'f1-score': 0.8862736749148389, 'support': 32431.0} | {'precision': 0.9209116629411165, 'recall': 0.920415651691283, 'f1-score': 0.9206403732624274, 'support': 32431.0}  |
+| 0.004         | 25.0  | 2025 | 0.6635          | {'precision': 0.7316624511381927, 'recall': 0.6982664033355278, 'f1-score': 0.7145744441949248, 'support': 4557.0} | {'precision': 0.8795575583777141, 'recall': 0.9462318201851035, 'f1-score': 0.9116772823779193, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.998464456688646, 'f1-score': 0.9992316384180792, 'support': 11071.0}                 | {'precision': 0.920614245561116, 'recall': 0.9239713774597496, 'f1-score': 0.9222897565330862, 'support': 14534.0}  | 0.9192   | {'precision': 0.8829585637692556, 'recall': 0.8917335144172567, 'f1-score': 0.8869432803810023, 'support': 32431.0} | {'precision': 0.9182914290271974, 'recall': 0.9192439332737196, 'f1-score': 0.9186261381483827, 'support': 32431.0} |
+| 0.004         | 26.0  | 2106 | 0.6304          | {'precision': 0.7117352492924015, 'recall': 0.717357910906298, 'f1-score': 0.714535519125683, 'support': 4557.0}   | {'precision': 0.8716904276985743, 'recall': 0.9431467606875276, 'f1-score': 0.9060118543607113, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9981031523800922, 'f1-score': 0.9990506758283985, 'support': 11071.0}                | {'precision': 0.926393637061327, 'recall': 0.9135819457823036, 'f1-score': 0.9199431877230055, 'support': 14534.0}  | 0.9169   | {'precision': 0.8774548285130757, 'recall': 0.8930474424390553, 'f1-score': 0.8848853092594496, 'support': 32431.0} | {'precision': 0.9175310114557944, 'recall': 0.9169313311337918, 'f1-score': 0.9171108994684886, 'support': 32431.0} |
+| 0.004         | 27.0  | 2187 | 0.6544          | {'precision': 0.717512908777969, 'recall': 0.7318411235461927, 'f1-score': 0.7246061922868008, 'support': 4557.0}  | {'precision': 0.8780690803162713, 'recall': 0.9299250771264874, 'f1-score': 0.9032534246575342, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9983741306115076, 'f1-score': 0.9991864039052614, 'support': 11071.0}                | {'precision': 0.9295735324911008, 'recall': 0.9163341131140773, 'f1-score': 0.9229063442015175, 'support': 14534.0} | 0.9194   | {'precision': 0.8812888803963352, 'recall': 0.8941186110995663, 'f1-score': 0.8874880912627785, 'support': 32431.0} | {'precision': 0.9202142021449996, 'recall': 0.9193672720545157, 'f1-score': 0.9197072530313251, 'support': 32431.0} |
+| 0.004         | 28.0  | 2268 | 0.6722          | {'precision': 0.6913705583756345, 'recall': 0.7472021066491112, 'f1-score': 0.7182029107783169, 'support': 4557.0} | {'precision': 0.9101930848675348, 'recall': 0.8933450859409432, 'f1-score': 0.9016903914590747, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.998464456688646, 'f1-score': 0.9992316384180792, 'support': 11071.0}                 | {'precision': 0.9279437609841827, 'recall': 0.9082152194853447, 'f1-score': 0.9179735039465906, 'support': 14534.0} | 0.9154   | {'precision': 0.882376851056838, 'recall': 0.8868067171910112, 'f1-score': 0.8842746111505153, 'support': 32431.0}  | {'precision': 0.9180579805194509, 'recall': 0.9153587616786408, 'f1-score': 0.9165029304654106, 'support': 32431.0} |
+| 0.004         | 29.0  | 2349 | 0.7057          | {'precision': 0.7525951557093425, 'recall': 0.6682027649769585, 'f1-score': 0.7078925956061839, 'support': 4557.0} | {'precision': 0.8724531377343113, 'recall': 0.9435874834728956, 'f1-score': 0.9066271437645564, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.998464456688646, 'f1-score': 0.9992316384180792, 'support': 11071.0}                 | {'precision': 0.9132889695503126, 'recall': 0.9348424384202559, 'f1-score': 0.9239400224405835, 'support': 14534.0} | 0.9197   | {'precision': 0.8845843157484916, 'recall': 0.8862742858896889, 'f1-score': 0.8844228500573508, 'support': 32431.0} | {'precision': 0.9174528746424986, 'recall': 0.9197064537017051, 'f1-score': 0.9180734884048335, 'support': 32431.0} |
+| 0.004         | 30.0  | 2430 | 0.6960          | {'precision': 0.7327963176064441, 'recall': 0.6987052885670397, 'f1-score': 0.7153448663221748, 'support': 4557.0} | {'precision': 0.8700804062632247, 'recall': 0.9061260467166152, 'f1-score': 0.8877374784110534, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.998464456688646, 'f1-score': 0.9992316384180792, 'support': 11071.0}                 | {'precision': 0.9220124071170496, 'recall': 0.9305765790560067, 'f1-score': 0.9262746978050201, 'support': 14534.0} | 0.9195   | {'precision': 0.8812222827466796, 'recall': 0.8834680927570769, 'f1-score': 0.882147170239082, 'support': 32431.0}  | {'precision': 0.918414282204774, 'recall': 0.9194597761401129, 'f1-score': 0.9188453276546991, 'support': 32431.0}  |
+| 0.002         | 31.0  | 2511 | 0.6866          | {'precision': 0.7148362235067437, 'recall': 0.7327188940092166, 'f1-score': 0.723667100130039, 'support': 4557.0}  | {'precision': 0.8860595597755718, 'recall': 0.9048038783605112, 'f1-score': 0.8953336240732664, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9983741306115076, 'f1-score': 0.9991864039052614, 'support': 11071.0}                | {'precision': 0.928283530229326, 'recall': 0.9190862804458511, 'f1-score': 0.9236620107868897, 'support': 14534.0}  | 0.9190   | {'precision': 0.8822948283779104, 'recall': 0.8887457958567716, 'f1-score': 0.8854622847238642, 'support': 32431.0} | {'precision': 0.9198190200735107, 'recall': 0.9189664210169283, 'f1-score': 0.9193598504741339, 'support': 32431.0} |
+| 0.002         | 32.0  | 2592 | 0.6848          | {'precision': 0.7350486787204451, 'recall': 0.695852534562212, 'f1-score': 0.7149137639499492, 'support': 4557.0}  | {'precision': 0.8796058269065982, 'recall': 0.9048038783605112, 'f1-score': 0.8920269389528569, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9986451088429229, 'f1-score': 0.999322095177837, 'support': 11071.0}                 | {'precision': 0.919942961906702, 'recall': 0.9321590752717765, 'f1-score': 0.9260107310071427, 'support': 14534.0}  | 0.9197   | {'precision': 0.8836493668834363, 'recall': 0.8828651492593558, 'f1-score': 0.8830683822719464, 'support': 32431.0} | {'precision': 0.9184697807200564, 'recall': 0.9197372883969042, 'f1-score': 0.9189974415520827, 'support': 32431.0} |
+| 0.002         | 33.0  | 2673 | 0.7124          | {'precision': 0.7002583979328165, 'recall': 0.7136273864384464, 'f1-score': 0.7068796869905445, 'support': 4557.0} | {'precision': 0.8634453781512605, 'recall': 0.9056853239312472, 'f1-score': 0.8840610884061089, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9974708698401229, 'f1-score': 0.9987338337704622, 'support': 11071.0}                | {'precision': 0.9256474519632414, 'recall': 0.9148204210816018, 'f1-score': 0.9202020901100422, 'support': 14534.0} | 0.9141   | {'precision': 0.8723378070118297, 'recall': 0.8829010003228546, 'f1-score': 0.8774691748192894, 'support': 32431.0} | {'precision': 0.9150070965816288, 'recall': 0.9141253738706793, 'f1-score': 0.9145072552354695, 'support': 32431.0} |
+| 0.002         | 34.0  | 2754 | 0.6949          | {'precision': 0.7166517457475381, 'recall': 0.7026552556506473, 'f1-score': 0.709584487534626, 'support': 4557.0}  | {'precision': 0.8824553765781454, 'recall': 0.8933450859409432, 'f1-score': 0.8878668418747262, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.998464456688646, 'f1-score': 0.9992316384180792, 'support': 11071.0}                 | {'precision': 0.9205447577333699, 'recall': 0.9254850694922251, 'f1-score': 0.9230083030261442, 'support': 14534.0} | 0.9168   | {'precision': 0.8799129700147633, 'recall': 0.8799874669431155, 'f1-score': 0.879922817713394, 'support': 32431.0}  | {'precision': 0.9163538208419149, 'recall': 0.9168388270481946, 'f1-score': 0.9165811266694699, 'support': 32431.0} |
+| 0.002         | 35.0  | 2835 | 0.6992          | {'precision': 0.7225820862184499, 'recall': 0.7098968619705947, 'f1-score': 0.7161833075049812, 'support': 4557.0} | {'precision': 0.8784346378018318, 'recall': 0.9299250771264874, 'f1-score': 0.9034467994005567, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9991870653057537, 'f1-score': 0.9995933673699905, 'support': 11071.0}                | {'precision': 0.9237405106970324, 'recall': 0.9209439933947984, 'f1-score': 0.9223401323042998, 'support': 14534.0} | 0.9186   | {'precision': 0.8811893086793285, 'recall': 0.8899882494494086, 'f1-score': 0.885390901644957, 'support': 32431.0}  | {'precision': 0.9183379896562086, 'recall': 0.9186272393697388, 'f1-score': 0.9184224283310388, 'support': 32431.0} |
+| 0.002         | 36.0  | 2916 | 0.7326          | {'precision': 0.7282428266540194, 'recall': 0.673908272986614, 'f1-score': 0.7000227946204696, 'support': 4557.0}  | {'precision': 0.8831658291457286, 'recall': 0.9294843543411194, 'f1-score': 0.9057333047025982, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9141366223908919, 'recall': 0.9280996284574102, 'f1-score': 0.9210652099692729, 'support': 14534.0} | 0.9170   | {'precision': 0.8813863195476599, 'recall': 0.8828504824270013, 'f1-score': 0.8816940360534948, 'support': 32431.0} | {'precision': 0.9151604174161526, 'recall': 0.9169930005241899, 'f1-score': 0.9158636638576222, 'support': 32431.0} |
+| 0.002         | 37.0  | 2997 | 0.7374          | {'precision': 0.7153202081918986, 'recall': 0.6936581084046521, 'f1-score': 0.7043226381461676, 'support': 4557.0} | {'precision': 0.8850918410935498, 'recall': 0.9131776112825033, 'f1-score': 0.8989154013015185, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9187726868022739, 'recall': 0.9230081188936288, 'f1-score': 0.9208855328642527, 'support': 14534.0} | 0.9163   | {'precision': 0.8797961840219305, 'recall': 0.8824383781259115, 'f1-score': 0.8810196018083942, 'support': 32431.0} | {'precision': 0.9155570227916499, 'recall': 0.91634547192501, 'f1-score': 0.9159103209784385, 'support': 32431.0}   |
+| 0.0012        | 38.0  | 3078 | 0.7381          | {'precision': 0.7077863286555002, 'recall': 0.6861970594689488, 'f1-score': 0.6968245125348189, 'support': 4557.0} | {'precision': 0.8841331603977518, 'recall': 0.9012780960775673, 'f1-score': 0.8926233085988651, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9164046479835953, 'recall': 0.922457685427274, 'f1-score': 0.9194212042243862, 'support': 14534.0}  | 0.9142   | {'precision': 0.8770810342592118, 'recall': 0.877460628724163, 'f1-score': 0.8772059650699272, 'support': 32431.0}  | {'precision': 0.9133700963405134, 'recall': 0.9142178779562764, 'f1-score': 0.9137602710507441, 'support': 32431.0} |
+| 0.0012        | 39.0  | 3159 | 0.7733          | {'precision': 0.719351100811124, 'recall': 0.6811498793065613, 'f1-score': 0.6997294860234445, 'support': 4557.0}  | {'precision': 0.8751555371215264, 'recall': 0.9299250771264874, 'f1-score': 0.9017094017094017, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9171165015374103, 'recall': 0.9234897481766892, 'f1-score': 0.9202920909184409, 'support': 14534.0} | 0.9160   | {'precision': 0.8779057848675151, 'recall': 0.8836185946331498, 'f1-score': 0.8804214533932313, 'support': 32431.0} | {'precision': 0.9146860137975935, 'recall': 0.9159754555826216, 'f1-score': 0.9151944475074327, 'support': 32431.0} |
+| 0.0012        | 40.0  | 3240 | 0.8124          | {'precision': 0.7218905472636816, 'recall': 0.6368224709238535, 'f1-score': 0.6766934825696631, 'support': 4557.0} | {'precision': 0.8754237288135593, 'recall': 0.9105332745702953, 'f1-score': 0.8926333981421473, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.999819347845723, 'f1-score': 0.9999096657633243, 'support': 11071.0}                 | {'precision': 0.9050861033239888, 'recall': 0.9329847254713086, 'f1-score': 0.9188236888467272, 'support': 14534.0} | 0.9126   | {'precision': 0.8756000948503074, 'recall': 0.870039954702795, 'f1-score': 0.8720150588304654, 'support': 32431.0}  | {'precision': 0.9096701640488858, 'recall': 0.9126144738059264, 'f1-score': 0.9106490945027469, 'support': 32431.0} |
+| 0.0012        | 41.0  | 3321 | 0.8042          | {'precision': 0.7228620436167607, 'recall': 0.6473557164801405, 'f1-score': 0.6830284788145403, 'support': 4557.0} | {'precision': 0.9088078291814946, 'recall': 0.9003966505068312, 'f1-score': 0.9045826876245294, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9038717402873869, 'recall': 0.9348424384202559, 'f1-score': 0.9190962592166678, 'support': 14534.0} | 0.9142   | {'precision': 0.8838854032714106, 'recall': 0.8706261198325222, 'f1-score': 0.876665565144344, 'support': 32431.0}  | {'precision': 0.911598136675134, 'recall': 0.9142487126514754, 'f1-score': 0.9125128397228092, 'support': 32431.0}  |
+| 0.0012        | 42.0  | 3402 | 0.7728          | {'precision': 0.6918211559432933, 'recall': 0.696071977177968, 'f1-score': 0.6939400568803326, 'support': 4557.0}  | {'precision': 0.8922808547754034, 'recall': 0.9017188188629353, 'f1-score': 0.8969750109601051, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9183870745011393, 'recall': 0.9151644419980735, 'f1-score': 0.9167729262156668, 'support': 14534.0} | 0.9124   | {'precision': 0.8756222713049591, 'recall': 0.8782162279904596, 'f1-score': 0.8769107072444358, 'support': 32431.0} | {'precision': 0.9125852427590434, 'recall': 0.9123677962443342, 'f1-score': 0.9124725980114123, 'support': 32431.0} |
+| 0.0012        | 43.0  | 3483 | 0.7433          | {'precision': 0.7181797702185176, 'recall': 0.6995830590300637, 'f1-score': 0.7087594486438418, 'support': 4557.0} | {'precision': 0.9005281690140845, 'recall': 0.9017188188629353, 'f1-score': 0.9011231006386258, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9189078498293516, 'recall': 0.9262419155084629, 'f1-score': 0.9225603070175438, 'support': 14534.0} | 0.9178   | {'precision': 0.8844039472654884, 'recall': 0.8818633668310809, 'f1-score': 0.8830994228054124, 'support': 32431.0} | {'precision': 0.9170993900218476, 'recall': 0.9178255372945638, 'f1-score': 0.9174387654537162, 'support': 32431.0} |
+| 0.0009        | 44.0  | 3564 | 0.7703          | {'precision': 0.7382999044890163, 'recall': 0.6785165679174896, 'f1-score': 0.7071469411092054, 'support': 4557.0} | {'precision': 0.9092534644613322, 'recall': 0.8964301454385192, 'f1-score': 0.9027962716378164, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9130289234065345, 'recall': 0.9382826475849732, 'f1-score': 0.9254835425856802, 'support': 14534.0} | 0.9199   | {'precision': 0.8901455730892207, 'recall': 0.8782847587159609, 'f1-score': 0.8838453975635852, 'support': 32431.0} | {'precision': 0.9179023510964751, 'recall': 0.9198914618728994, 'f1-score': 0.9186392999395205, 'support': 32431.0} |
+| 0.0009        | 45.0  | 3645 | 0.7518          | {'precision': 0.7160072760345612, 'recall': 0.6910247970155804, 'f1-score': 0.7032942490228922, 'support': 4557.0} | {'precision': 0.8929503916449086, 'recall': 0.9043631555751432, 'f1-score': 0.8986205386468141, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9174224343675418, 'recall': 0.9256914820421082, 'f1-score': 0.9215384088496181, 'support': 14534.0} | 0.9166   | {'precision': 0.8815950255117528, 'recall': 0.8802472771389234, 'f1-score': 0.8808520078602406, 'support': 32431.0} | {'precision': 0.9155982626693486, 'recall': 0.9165613147914032, 'f1-score': 0.9160377757893605, 'support': 32431.0} |
+| 0.0009        | 46.0  | 3726 | 0.7502          | {'precision': 0.7151016678090016, 'recall': 0.6868553873162168, 'f1-score': 0.7006939780613387, 'support': 4557.0} | {'precision': 0.8867761452031115, 'recall': 0.9043631555751432, 'f1-score': 0.8954833078769365, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9994580435371692, 'f1-score': 0.9997289483194796, 'support': 11071.0}                | {'precision': 0.9169335604770017, 'recall': 0.9258290904086969, 'f1-score': 0.9213598548392617, 'support': 14534.0} | 0.9159   | {'precision': 0.8797028433722787, 'recall': 0.8791264192093065, 'f1-score': 0.8793165222742542, 'support': 32431.0} | {'precision': 0.9148199482484113, 'recall': 0.9158829514970245, 'f1-score': 0.9152957787511048, 'support': 32431.0} |
+| 0.0009        | 47.0  | 3807 | 0.7463          | {'precision': 0.7113035753941817, 'recall': 0.7028746982664034, 'f1-score': 0.7070640176600441, 'support': 4557.0} | {'precision': 0.8820490744726647, 'recall': 0.9030409872190392, 'f1-score': 0.8924216027874564, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9990064131514769, 'f1-score': 0.9995029596493606, 'support': 11071.0}                | {'precision': 0.9212100378136817, 'recall': 0.9219072519609193, 'f1-score': 0.921558513016266, 'support': 14534.0}  | 0.9161   | {'precision': 0.8786406719201321, 'recall': 0.8817073376494596, 'f1-score': 0.8801367732782818, 'support': 32431.0} | {'precision': 0.9158720493550557, 'recall': 0.9161296290586167, 'f1-score': 0.9159885307162297, 'support': 32431.0} |
+| 0.0009        | 48.0  | 3888 | 0.7590          | {'precision': 0.7180132753490501, 'recall': 0.6883914856265086, 'f1-score': 0.702890432444544, 'support': 4557.0}  | {'precision': 0.8880726015557476, 'recall': 0.9056853239312472, 'f1-score': 0.8967924939995635, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9997290217685846, 'f1-score': 0.9998644925245043, 'support': 11071.0}                | {'precision': 0.9176430517711172, 'recall': 0.926861153158112, 'f1-score': 0.9222290682549462, 'support': 14534.0}  | 0.9167   | {'precision': 0.8809322321689788, 'recall': 0.8801667461211131, 'f1-score': 0.8804441218058895, 'support': 32431.0} | {'precision': 0.9156377337466323, 'recall': 0.9167463229625975, 'f1-score': 0.916131816604205, 'support': 32431.0}  |
+| 0.0009        | 49.0  | 3969 | 0.7620          | {'precision': 0.7186425131850493, 'recall': 0.6877331577792407, 'f1-score': 0.7028481722359273, 'support': 4557.0} | {'precision': 0.8884083044982699, 'recall': 0.9052446011458792, 'f1-score': 0.8967474350578476, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.999819347845723, 'f1-score': 0.9999096657633243, 'support': 11071.0}                 | {'precision': 0.917489277690789, 'recall': 0.927273978257878, 'f1-score': 0.9223556787461931, 'support': 14534.0}   | 0.9168   | {'precision': 0.8811350238435272, 'recall': 0.8800177712571802, 'f1-score': 0.8804652379508231, 'support': 32431.0} | {'precision': 0.9156807233032831, 'recall': 0.9168388270481946, 'f1-score': 0.9161948874715029, 'support': 32431.0} |
+| 0.0004        | 50.0  | 4050 | 0.7657          | {'precision': 0.7186853596874282, 'recall': 0.6861970594689488, 'f1-score': 0.7020655590480467, 'support': 4557.0} | {'precision': 0.8887445887445887, 'recall': 0.9048038783605112, 'f1-score': 0.89670233675475, 'support': 2269.0}   | {'precision': 1.0, 'recall': 0.999819347845723, 'f1-score': 0.9999096657633243, 'support': 11071.0}                 | {'precision': 0.9170804707162779, 'recall': 0.9276179991743498, 'f1-score': 0.9223191380194973, 'support': 14534.0} | 0.9167   | {'precision': 0.8811276047870737, 'recall': 0.8796095712123833, 'f1-score': 0.8802491748964045, 'support': 32431.0} | {'precision': 0.9155270641468799, 'recall': 0.9167463229625975, 'f1-score': 0.9160653885578494, 'support': 32431.0} |
 ### Framework versions