trainer: training complete at 2024-03-04 03:36:41.214836.

README.md

@@ -17,12 +17,12 @@ model-index:
       name: essays_su_g
       type: essays_su_g
       config: spans
-      split: train[0%:20%]
+      split: train[20%:40%]
       args: spans
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9304561259971365
+      value: 0.9419307928743762
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,13 +32,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the essays_su_g dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6554
-- B: {'precision': 0.8511354079058032, 'recall': 0.8932038834951457, 'f1-score': 0.8716623600344531, 'support': 1133.0}
-- I: {'precision': 0.9360508205399682, 'recall': 0.9644902634593356, 'f1-score': 0.9500577599871047, 'support': 18333.0}
-- O: {'precision': 0.9292274446245273, 'recall': 0.8715038508309688, 'f1-score': 0.8994404643622863, 'support': 9868.0}
-- Accuracy: 0.9305
-- Macro avg: {'precision': 0.9054712243567663, 'recall': 0.9097326659284835, 'f1-score': 0.907053528127948, 'support': 29334.0}
-- Weighted avg: {'precision': 0.9304756437468926, 'recall': 0.9304561259971365, 'f1-score': 0.9300020750695325, 'support': 29334.0}
+- Loss: 0.4962
+- B: {'precision': 0.859663191659984, 'recall': 0.9100169779286927, 'f1-score': 0.8841237113402063, 'support': 1178.0}
+- I: {'precision': 0.9499895920066611, 'recall': 0.9659241229694693, 'f1-score': 0.9578905942542305, 'support': 18899.0}
+- O: {'precision': 0.9365938329589545, 'recall': 0.9010805500982318, 'f1-score': 0.9184940422549316, 'support': 10180.0}
+- Accuracy: 0.9419
+- Macro avg: {'precision': 0.9154155388751999, 'recall': 0.9256738836654645, 'f1-score': 0.9201694492831227, 'support': 30257.0}
+- Weighted avg: {'precision': 0.9419658842129591, 'recall': 0.9419307928743762, 'f1-score': 0.9417636058738365, 'support': 30257.0}
 
 ## Model description
 
@@ -67,58 +67,58 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | B                                                                                                                  | I                                                                                                                   | O                                                                                                                  | Accuracy | Macro avg                                                                                                           | Weighted avg                                                                                                        |
-|:-------------:|:-----:|:----:|:---------------:|:------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:--------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|
-| No log        | 1.0   | 81   | 0.2531          | {'precision': 0.7474747474747475, 'recall': 0.9143865842894969, 'f1-score': 0.8225486304088924, 'support': 1133.0} | {'precision': 0.9081643158653351, 'recall': 0.9623084056073746, 'f1-score': 0.9344527132604147, 'support': 18333.0} | {'precision': 0.9300633654071814, 'recall': 0.8032022699635184, 'f1-score': 0.8619902120717781, 'support': 9868.0} | 0.9069   | {'precision': 0.8619008095824213, 'recall': 0.89329908662013, 'f1-score': 0.8729971852470283, 'support': 29334.0}   | {'precision': 0.9093246942621582, 'recall': 0.9069339333196973, 'f1-score': 0.9057540261532953, 'support': 29334.0} |
-| No log        | 2.0   | 162  | 0.2078          | {'precision': 0.8297520661157025, 'recall': 0.8861429832303619, 'f1-score': 0.8570209133589416, 'support': 1133.0} | {'precision': 0.9325182597650048, 'recall': 0.9610538373424972, 'f1-score': 0.9465710371504554, 'support': 18333.0} | {'precision': 0.9238353196099675, 'recall': 0.8641062018646128, 'f1-score': 0.8929730861870352, 'support': 9868.0} | 0.9255   | {'precision': 0.8953685484968915, 'recall': 0.9037676741458239, 'f1-score': 0.898855012232144, 'support': 29334.0}  | {'precision': 0.9256280521269545, 'recall': 0.9255471466557578, 'f1-score': 0.9250818140522481, 'support': 29334.0} |
-| No log        | 3.0   | 243  | 0.2431          | {'precision': 0.8289473684210527, 'recall': 0.8896734333627537, 'f1-score': 0.8582375478927203, 'support': 1133.0} | {'precision': 0.92943782301445, 'recall': 0.9613265695739922, 'f1-score': 0.9451132859632658, 'support': 18333.0}   | {'precision': 0.923219746614242, 'recall': 0.8566072152411837, 'f1-score': 0.8886669470142977, 'support': 9868.0}  | 0.9233   | {'precision': 0.8938683126832482, 'recall': 0.9025357393926431, 'f1-score': 0.8973392602900946, 'support': 29334.0} | {'precision': 0.9234646975296347, 'recall': 0.9233312879252744, 'f1-score': 0.9227691568304388, 'support': 29334.0} |
-| No log        | 4.0   | 324  | 0.2805          | {'precision': 0.8503869303525365, 'recall': 0.8729037952338923, 'f1-score': 0.8614982578397212, 'support': 1133.0} | {'precision': 0.9574755315558555, 'recall': 0.9284896089019801, 'f1-score': 0.942759823876381, 'support': 18333.0}  | {'precision': 0.8724141248917541, 'recall': 0.9188285366842318, 'f1-score': 0.8950199891417008, 'support': 9868.0} | 0.9231   | {'precision': 0.8934255289333821, 'recall': 0.9067406469400346, 'f1-score': 0.8997593569526009, 'support': 29334.0} | {'precision': 0.9247245481875896, 'recall': 0.9230926569850685, 'f1-score': 0.9235614178123817, 'support': 29334.0} |
-| No log        | 5.0   | 405  | 0.2743          | {'precision': 0.8405063291139241, 'recall': 0.8790820829655781, 'f1-score': 0.8593615185504745, 'support': 1133.0} | {'precision': 0.9325283338629382, 'recall': 0.9604538264332079, 'f1-score': 0.9462851000940481, 'support': 18333.0} | {'precision': 0.921333764972483, 'recall': 0.8652209160924199, 'f1-score': 0.8923961327410503, 'support': 9868.0}  | 0.9253   | {'precision': 0.8981228093164484, 'recall': 0.9015856084970686, 'f1-score': 0.899347583795191, 'support': 29334.0}  | {'precision': 0.92520819555273, 'recall': 0.9252744255812367, 'f1-score': 0.9247994265504382, 'support': 29334.0}   |
-| No log        | 6.0   | 486  | 0.2924          | {'precision': 0.8355481727574751, 'recall': 0.8879082082965578, 'f1-score': 0.8609328198545143, 'support': 1133.0} | {'precision': 0.9304343225942971, 'recall': 0.9593628975072274, 'f1-score': 0.9446771941132237, 'support': 18333.0} | {'precision': 0.9198005852389726, 'recall': 0.8600526955816782, 'f1-score': 0.8889238020424195, 'support': 9868.0} | 0.9232   | {'precision': 0.8952610268635816, 'recall': 0.9024412671284878, 'f1-score': 0.8981779386700525, 'support': 29334.0} | {'precision': 0.923192223733335, 'recall': 0.9231949273880139, 'f1-score': 0.9226871194902669, 'support': 29334.0}  |
-| 0.1596        | 7.0   | 567  | 0.3490          | {'precision': 0.8356729975227085, 'recall': 0.8932038834951457, 'f1-score': 0.863481228668942, 'support': 1133.0}  | {'precision': 0.93515484621076, 'recall': 0.9651993672612229, 'f1-score': 0.949939605422091, 'support': 18333.0}    | {'precision': 0.930659710900989, 'recall': 0.8677543575192541, 'f1-score': 0.8981068750327758, 'support': 9868.0}  | 0.9296   | {'precision': 0.9004958515448193, 'recall': 0.9087192027585408, 'f1-score': 0.9038425697079363, 'support': 29334.0} | {'precision': 0.9298002771168626, 'recall': 0.9296379627735734, 'f1-score': 0.9291636210918572, 'support': 29334.0} |
-| 0.1596        | 8.0   | 648  | 0.3490          | {'precision': 0.8596491228070176, 'recall': 0.8649602824360106, 'f1-score': 0.8622965244170699, 'support': 1133.0} | {'precision': 0.9429824561403509, 'recall': 0.9499263622974963, 'f1-score': 0.946441672780631, 'support': 18333.0}  | {'precision': 0.9021180341353074, 'recall': 0.8891366031617349, 'f1-score': 0.8955802796774524, 'support': 9868.0} | 0.9262   | {'precision': 0.9015832043608919, 'recall': 0.9013410826317473, 'f1-score': 0.9014394922917178, 'support': 29334.0} | {'precision': 0.9260169286632788, 'recall': 0.9261948592077452, 'f1-score': 0.926081794133393, 'support': 29334.0}  |
-| 0.1596        | 9.0   | 729  | 0.4179          | {'precision': 0.8520408163265306, 'recall': 0.884377758164166, 'f1-score': 0.8679081853616285, 'support': 1133.0}  | {'precision': 0.9287558623596985, 'recall': 0.9613811160202913, 'f1-score': 0.9447869203966764, 'support': 18333.0} | {'precision': 0.9209236466615837, 'recall': 0.8568098905553304, 'f1-score': 0.887710640978529, 'support': 9868.0}  | 0.9232   | {'precision': 0.9005734417826042, 'recall': 0.9008562549132626, 'f1-score': 0.900135248912278, 'support': 29334.0}  | {'precision': 0.9231580423670424, 'recall': 0.923229017522329, 'f1-score': 0.9226170038461553, 'support': 29334.0}  |
-| 0.1596        | 10.0  | 810  | 0.5158          | {'precision': 0.822257806244996, 'recall': 0.9064430714916152, 'f1-score': 0.8623005877413936, 'support': 1133.0}  | {'precision': 0.9124053998772755, 'recall': 0.9732722413134784, 'f1-score': 0.9418564754942067, 'support': 18333.0} | {'precision': 0.9440731621526557, 'recall': 0.8159708147547629, 'f1-score': 0.8753601130619123, 'support': 9868.0} | 0.9178   | {'precision': 0.8929121227583091, 'recall': 0.8985620425199521, 'f1-score': 0.8931723920991709, 'support': 29334.0} | {'precision': 0.9195766092093843, 'recall': 0.9177745960319084, 'f1-score': 0.9164142267280712, 'support': 29334.0} |
-| 0.1596        | 11.0  | 891  | 0.4279          | {'precision': 0.8556611927398444, 'recall': 0.8737864077669902, 'f1-score': 0.8646288209606986, 'support': 1133.0} | {'precision': 0.9373558594797533, 'recall': 0.9533082419680358, 'f1-score': 0.9452647520147115, 'support': 18333.0} | {'precision': 0.9077843054972723, 'recall': 0.8768747466558573, 'f1-score': 0.8920618556701031, 'support': 9868.0} | 0.9245   | {'precision': 0.9002671192389567, 'recall': 0.9013231321302945, 'f1-score': 0.9006518095485044, 'support': 29334.0} | {'precision': 0.9242525611871427, 'recall': 0.924524442626304, 'f1-score': 0.9242527287307136, 'support': 29334.0}  |
-| 0.1596        | 12.0  | 972  | 0.4510          | {'precision': 0.842237061769616, 'recall': 0.8905560458958517, 'f1-score': 0.8657228657228657, 'support': 1133.0}  | {'precision': 0.9381618860092598, 'recall': 0.9615993018054874, 'f1-score': 0.9497360198254499, 'support': 18333.0} | {'precision': 0.9247726056714821, 'recall': 0.8757600324280502, 'f1-score': 0.8995992296882319, 'support': 9868.0} | 0.9300   | {'precision': 0.9017238511501193, 'recall': 0.9093051267097964, 'f1-score': 0.9050193717455158, 'support': 29334.0} | {'precision': 0.9299527006190401, 'recall': 0.9299788641167246, 'f1-score': 0.9296249968257807, 'support': 29334.0} |
-| 0.0211        | 13.0  | 1053 | 0.4814          | {'precision': 0.856898029134533, 'recall': 0.8826125330979699, 'f1-score': 0.8695652173913043, 'support': 1133.0}  | {'precision': 0.9383210509452099, 'recall': 0.958435607920144, 'f1-score': 0.9482716748967862, 'support': 18333.0}  | {'precision': 0.9175934752674505, 'recall': 0.877888123226591, 'f1-score': 0.8973017763737118, 'support': 9868.0}  | 0.9284   | {'precision': 0.9042708517823977, 'recall': 0.9063120880815684, 'f1-score': 0.9050462228872674, 'support': 29334.0} | {'precision': 0.9282033717845217, 'recall': 0.9284107179382287, 'f1-score': 0.9280853595296557, 'support': 29334.0} |
-| 0.0211        | 14.0  | 1134 | 0.4911          | {'precision': 0.8470688190314358, 'recall': 0.8799646954986761, 'f1-score': 0.8632034632034632, 'support': 1133.0} | {'precision': 0.9397603195739015, 'recall': 0.9624174984999727, 'f1-score': 0.9509539721892853, 'support': 18333.0} | {'precision': 0.925708804092944, 'recall': 0.8801175516822051, 'f1-score': 0.9023376623376623, 'support': 9868.0}  | 0.9315   | {'precision': 0.9041793142327604, 'recall': 0.9074999152269513, 'f1-score': 0.905498365910137, 'support': 29334.0}  | {'precision': 0.9314532416138313, 'recall': 0.9315470102952206, 'f1-score': 0.9312100889037889, 'support': 29334.0} |
-| 0.0211        | 15.0  | 1215 | 0.4775          | {'precision': 0.8397009966777409, 'recall': 0.8923212709620476, 'f1-score': 0.865211810012837, 'support': 1133.0}  | {'precision': 0.9259123897039628, 'recall': 0.9673266786668848, 'f1-score': 0.9461665688523716, 'support': 18333.0} | {'precision': 0.9330511306672608, 'recall': 0.8488042156465343, 'f1-score': 0.8889360573096311, 'support': 9868.0} | 0.9246   | {'precision': 0.8995548390163215, 'recall': 0.9028173884251555, 'f1-score': 0.9001048120582799, 'support': 29334.0} | {'precision': 0.9249840331050372, 'recall': 0.9245585327606191, 'f1-score': 0.9237873355507777, 'support': 29334.0} |
-| 0.0211        | 16.0  | 1296 | 0.5006          | {'precision': 0.8545611015490534, 'recall': 0.8764342453662842, 'f1-score': 0.865359477124183, 'support': 1133.0}  | {'precision': 0.9472161572052402, 'recall': 0.9465444826269569, 'f1-score': 0.9468802008021172, 'support': 18333.0} | {'precision': 0.8979902557856273, 'recall': 0.8965342521280908, 'f1-score': 0.897261663286004, 'support': 9868.0}  | 0.9270   | {'precision': 0.8999225048466403, 'recall': 0.9065043267071107, 'f1-score': 0.9031671137374347, 'support': 29334.0} | {'precision': 0.9270777726253262, 'recall': 0.9270130224313083, 'f1-score': 0.9270397866705257, 'support': 29334.0} |
-| 0.0211        | 17.0  | 1377 | 0.5324          | {'precision': 0.8460891505466779, 'recall': 0.8879082082965578, 'f1-score': 0.8664944013781224, 'support': 1133.0} | {'precision': 0.9300636741567121, 'recall': 0.9640538918889434, 'f1-score': 0.9467538032997642, 'support': 18333.0} | {'precision': 0.9267118792386786, 'recall': 0.8585326307255776, 'f1-score': 0.8913203577064702, 'support': 9868.0} | 0.9256   | {'precision': 0.9009549013140229, 'recall': 0.9034982436370264, 'f1-score': 0.901522854128119, 'support': 29334.0}  | {'precision': 0.9256926832416877, 'recall': 0.9256153269243881, 'f1-score': 0.9250059631316369, 'support': 29334.0} |
-| 0.0211        | 18.0  | 1458 | 0.5886          | {'precision': 0.8499142367066895, 'recall': 0.8746690203000883, 'f1-score': 0.8621139625924314, 'support': 1133.0} | {'precision': 0.9357597135374913, 'recall': 0.9550537282496045, 'f1-score': 0.945308282042976, 'support': 18333.0}  | {'precision': 0.910013746431215, 'recall': 0.872111876773409, 'f1-score': 0.8906597671410089, 'support': 9868.0}   | 0.9240   | {'precision': 0.8985625655584654, 'recall': 0.9006115417743672, 'f1-score': 0.8993606705921388, 'support': 29334.0} | {'precision': 0.9237830268035296, 'recall': 0.9240471807458921, 'f1-score': 0.9237111350807452, 'support': 29334.0} |
-| 0.0054        | 19.0  | 1539 | 0.5662          | {'precision': 0.8524871355060034, 'recall': 0.8773168578993822, 'f1-score': 0.8647237929534581, 'support': 1133.0} | {'precision': 0.9394004397490213, 'recall': 0.9554900998199968, 'f1-score': 0.9473769605191995, 'support': 18333.0} | {'precision': 0.9122991282428317, 'recall': 0.8802188893392785, 'f1-score': 0.8959719428541957, 'support': 9868.0} | 0.9271   | {'precision': 0.9013955678326188, 'recall': 0.9043419490195524, 'f1-score': 0.9026908987756178, 'support': 29334.0} | {'precision': 0.9269265693034491, 'recall': 0.9271493829685689, 'f1-score': 0.9268918322322205, 'support': 29334.0} |
-| 0.0054        | 20.0  | 1620 | 0.5481          | {'precision': 0.8527397260273972, 'recall': 0.8790820829655781, 'f1-score': 0.8657105606258149, 'support': 1133.0} | {'precision': 0.9360140418062869, 'recall': 0.9599083619702177, 'f1-score': 0.9478106317660365, 'support': 18333.0} | {'precision': 0.9194874532835025, 'recall': 0.8726185650587759, 'f1-score': 0.8954401289450424, 'support': 9868.0} | 0.9274   | {'precision': 0.9027470737057288, 'recall': 0.9038696699981905, 'f1-score': 0.902987107112298, 'support': 29334.0}  | {'precision': 0.9272380761923127, 'recall': 0.9274221040430899, 'f1-score': 0.9270220757409653, 'support': 29334.0} |
-| 0.0054        | 21.0  | 1701 | 0.5435          | {'precision': 0.851027397260274, 'recall': 0.8773168578993822, 'f1-score': 0.8639721860060844, 'support': 1133.0}  | {'precision': 0.9310981074384522, 'recall': 0.9633993345333551, 'f1-score': 0.9469733526352474, 'support': 18333.0} | {'precision': 0.9250842666086767, 'recall': 0.8621807863802189, 'f1-score': 0.8925255704169944, 'support': 9868.0} | 0.9260   | {'precision': 0.9024032571024675, 'recall': 0.9009656596043186, 'f1-score': 0.9011570363527754, 'support': 29334.0} | {'precision': 0.925982381797895, 'recall': 0.9260244085361696, 'f1-score': 0.9254511927961336, 'support': 29334.0}  |
-| 0.0054        | 22.0  | 1782 | 0.5495          | {'precision': 0.8664323374340949, 'recall': 0.8702559576345984, 'f1-score': 0.8683399383531484, 'support': 1133.0} | {'precision': 0.954357075758413, 'recall': 0.9420716740304369, 'f1-score': 0.9481745813889652, 'support': 18333.0}  | {'precision': 0.8916724428161205, 'recall': 0.912545601945683, 'f1-score': 0.9019882806630942, 'support': 9868.0}  | 0.9294   | {'precision': 0.9041539520028761, 'recall': 0.9082910778702393, 'f1-score': 0.9061676001350693, 'support': 29334.0} | {'precision': 0.9298738587952988, 'recall': 0.9293652416990523, 'f1-score': 0.9295539000593656, 'support': 29334.0} |
-| 0.0054        | 23.0  | 1863 | 0.5612          | {'precision': 0.8410981697171381, 'recall': 0.8923212709620476, 'f1-score': 0.8659528907922912, 'support': 1133.0} | {'precision': 0.9308765464595946, 'recall': 0.9644902634593356, 'f1-score': 0.9473853407629661, 'support': 18333.0} | {'precision': 0.9287512312575243, 'recall': 0.8599513579246048, 'f1-score': 0.893028150486714, 'support': 9868.0}  | 0.9265   | {'precision': 0.9002419824780857, 'recall': 0.905587630781996, 'f1-score': 0.9021221273473238, 'support': 29334.0}  | {'precision': 0.9266939763613048, 'recall': 0.9265357605508966, 'f1-score': 0.9259542464879668, 'support': 29334.0} |
-| 0.0054        | 24.0  | 1944 | 0.5436          | {'precision': 0.8559102674719585, 'recall': 0.8755516328331863, 'f1-score': 0.8656195462478184, 'support': 1133.0} | {'precision': 0.9425299715069082, 'recall': 0.9563082965144821, 'f1-score': 0.9493691449612822, 'support': 18333.0} | {'precision': 0.9138291205347817, 'recall': 0.8866031617349007, 'f1-score': 0.9000102870075095, 'support': 9868.0} | 0.9297   | {'precision': 0.9040897865045494, 'recall': 0.9061543636941897, 'f1-score': 0.9049996594055368, 'support': 29334.0} | {'precision': 0.9295293537232939, 'recall': 0.9297402331765187, 'f1-score': 0.9295299990681146, 'support': 29334.0} |
-| 0.003         | 25.0  | 2025 | 0.5901          | {'precision': 0.8486897717666948, 'recall': 0.8861429832303619, 'f1-score': 0.8670120898100172, 'support': 1133.0} | {'precision': 0.9339209373515596, 'recall': 0.9651993672612229, 'f1-score': 0.9493025751072961, 'support': 18333.0} | {'precision': 0.9293785310734464, 'recall': 0.8668423186055938, 'f1-score': 0.8970218120805369, 'support': 9868.0} | 0.9291   | {'precision': 0.9039964133972336, 'recall': 0.9060615563657262, 'f1-score': 0.9044454923326167, 'support': 29334.0} | {'precision': 0.9291008863608976, 'recall': 0.9290584304902161, 'f1-score': 0.9285368530990505, 'support': 29334.0} |
-| 0.003         | 26.0  | 2106 | 0.5823          | {'precision': 0.8599487617421008, 'recall': 0.8887908208296558, 'f1-score': 0.8741319444444444, 'support': 1133.0} | {'precision': 0.9412236174191825, 'recall': 0.960835651557301, 'f1-score': 0.9509285251565537, 'support': 18333.0}  | {'precision': 0.9222057578323455, 'recall': 0.8829550060802595, 'f1-score': 0.9021536550010354, 'support': 9868.0} | 0.9319   | {'precision': 0.9077927123312096, 'recall': 0.9108604928224054, 'f1-score': 0.9090713748673446, 'support': 29334.0} | {'precision': 0.931686812009588, 'recall': 0.9318538215040567, 'f1-score': 0.9315543878196246, 'support': 29334.0}  |
-| 0.003         | 27.0  | 2187 | 0.5752          | {'precision': 0.8514767932489451, 'recall': 0.8905560458958517, 'f1-score': 0.8705780845556514, 'support': 1133.0} | {'precision': 0.9362391165852623, 'recall': 0.9619265804832815, 'f1-score': 0.9489090371008098, 'support': 18333.0} | {'precision': 0.9241919896918286, 'recall': 0.8722132144304824, 'f1-score': 0.8974506021583858, 'support': 9868.0} | 0.9290   | {'precision': 0.903969299842012, 'recall': 0.9082319469365384, 'f1-score': 0.9056459079382823, 'support': 29334.0}  | {'precision': 0.9289125753524113, 'recall': 0.9289902502215859, 'f1-score': 0.9285728809255351, 'support': 29334.0} |
-| 0.003         | 28.0  | 2268 | 0.5861          | {'precision': 0.8589965397923875, 'recall': 0.8764342453662842, 'f1-score': 0.8676277850589778, 'support': 1133.0} | {'precision': 0.941451361658699, 'recall': 0.956035564282987, 'f1-score': 0.9486874154262517, 'support': 18333.0}   | {'precision': 0.9131889969668445, 'recall': 0.8847790839075801, 'f1-score': 0.8987595861855989, 'support': 9868.0} | 0.9290   | {'precision': 0.9045456328059771, 'recall': 0.9057496311856171, 'f1-score': 0.9050249288902762, 'support': 29334.0} | {'precision': 0.9287591162113087, 'recall': 0.9289902502215859, 'f1-score': 0.928760764435835, 'support': 29334.0}  |
-| 0.003         | 29.0  | 2349 | 0.6105          | {'precision': 0.8523890784982935, 'recall': 0.881729920564872, 'f1-score': 0.8668112798264641, 'support': 1133.0}  | {'precision': 0.9377168169931153, 'recall': 0.9583810614738449, 'f1-score': 0.9479363366603722, 'support': 18333.0} | {'precision': 0.9173474801061008, 'recall': 0.8761653830563437, 'f1-score': 0.8962836261856633, 'support': 9868.0} | 0.9278   | {'precision': 0.9024844585325033, 'recall': 0.9054254550316868, 'f1-score': 0.9036770808908332, 'support': 29334.0} | {'precision': 0.9275688336251569, 'recall': 0.9277630053862412, 'f1-score': 0.9274269060897973, 'support': 29334.0} |
-| 0.003         | 30.0  | 2430 | 0.6004          | {'precision': 0.8579982891360137, 'recall': 0.8852603706972639, 'f1-score': 0.8714161598609904, 'support': 1133.0} | {'precision': 0.9349632216753982, 'recall': 0.9637266132111493, 'f1-score': 0.9491270480795058, 'support': 18333.0} | {'precision': 0.9265213638325421, 'recall': 0.870186461289015, 'f1-score': 0.8974707357859533, 'support': 9868.0}  | 0.9292   | {'precision': 0.9064942915479847, 'recall': 0.9063911483991428, 'f1-score': 0.9060046479088165, 'support': 29334.0} | {'precision': 0.9291506655371141, 'recall': 0.9292288811617918, 'f1-score': 0.9287482751176065, 'support': 29334.0} |
-| 0.0018        | 31.0  | 2511 | 0.6522          | {'precision': 0.8560477001703578, 'recall': 0.8870255957634599, 'f1-score': 0.8712613784135241, 'support': 1133.0} | {'precision': 0.9333439052753991, 'recall': 0.96312660230186, 'f1-score': 0.9480013959356794, 'support': 18333.0}   | {'precision': 0.9252326336290846, 'recall': 0.8665383056343737, 'f1-score': 0.8949241234955522, 'support': 9868.0} | 0.9277   | {'precision': 0.9048747463582805, 'recall': 0.9055635012332311, 'f1-score': 0.9047289659482519, 'support': 29334.0} | {'precision': 0.9276297636994175, 'recall': 0.9276948251176109, 'f1-score': 0.927182108954982, 'support': 29334.0}  |
-| 0.0018        | 32.0  | 2592 | 0.6375          | {'precision': 0.8494533221194281, 'recall': 0.8914386584289496, 'f1-score': 0.8699397071490095, 'support': 1133.0} | {'precision': 0.9368443474093402, 'recall': 0.9596356297387225, 'f1-score': 0.9481030394481569, 'support': 18333.0} | {'precision': 0.9201366645312834, 'recall': 0.8733279286582895, 'f1-score': 0.896121451596132, 'support': 9868.0}  | 0.9280   | {'precision': 0.9021447780200171, 'recall': 0.9081340722753205, 'f1-score': 0.9047213993977662, 'support': 29334.0} | {'precision': 0.9278484571013653, 'recall': 0.927967546192132, 'f1-score': 0.9275973680627775, 'support': 29334.0}  |
-| 0.0018        | 33.0  | 2673 | 0.6827          | {'precision': 0.851602023608769, 'recall': 0.8914386584289496, 'f1-score': 0.8710651142733937, 'support': 1133.0}  | {'precision': 0.9285340314136126, 'recall': 0.9673812251131839, 'f1-score': 0.9475596398899366, 'support': 18333.0} | {'precision': 0.9329133510167993, 'recall': 0.8553911633563032, 'f1-score': 0.8924719813914147, 'support': 9868.0} | 0.9268   | {'precision': 0.9043498020130603, 'recall': 0.9047370156328123, 'f1-score': 0.9036989118515817, 'support': 29334.0} | {'precision': 0.927035809589155, 'recall': 0.9267743914911025, 'f1-score': 0.926073538042696, 'support': 29334.0}   |
-| 0.0018        | 34.0  | 2754 | 0.6228          | {'precision': 0.8595744680851064, 'recall': 0.8914386584289496, 'f1-score': 0.8752166377816292, 'support': 1133.0} | {'precision': 0.9350964071225372, 'recall': 0.9681994218076693, 'f1-score': 0.9513600428781992, 'support': 18333.0} | {'precision': 0.93461915658712, 'recall': 0.8691730847182814, 'f1-score': 0.9007088474665266, 'support': 9868.0}   | 0.9319   | {'precision': 0.909763343931588, 'recall': 0.9096037216516334, 'f1-score': 0.9090951760421183, 'support': 29334.0}  | {'precision': 0.9320188907520146, 'recall': 0.931922001772687, 'f1-score': 0.9313799353477976, 'support': 29334.0}  |
-| 0.0018        | 35.0  | 2835 | 0.6088          | {'precision': 0.8614200171086399, 'recall': 0.8887908208296558, 'f1-score': 0.8748913987836664, 'support': 1133.0} | {'precision': 0.9379079764368731, 'recall': 0.9639993454426444, 'f1-score': 0.9507746933505488, 'support': 18333.0} | {'precision': 0.9270542801973826, 'recall': 0.8757600324280502, 'f1-score': 0.9006774361646691, 'support': 9868.0} | 0.9314   | {'precision': 0.9087940912476319, 'recall': 0.9095167329001167, 'f1-score': 0.908781176099628, 'support': 29334.0}  | {'precision': 0.9313024970474211, 'recall': 0.9314106497579601, 'f1-score': 0.9309909779808571, 'support': 29334.0} |
-| 0.0018        | 36.0  | 2916 | 0.6024          | {'precision': 0.8583617747440273, 'recall': 0.8879082082965578, 'f1-score': 0.8728850325379609, 'support': 1133.0} | {'precision': 0.9392336059002726, 'recall': 0.9585992472590411, 'f1-score': 0.9488176222870102, 'support': 18333.0} | {'precision': 0.9182097132578563, 'recall': 0.8794081880826915, 'f1-score': 0.8983901858274238, 'support': 9868.0} | 0.9292   | {'precision': 0.9052683646340521, 'recall': 0.9086385478794301, 'f1-score': 0.9066976135507984, 'support': 29334.0} | {'precision': 0.9290375345395514, 'recall': 0.9292288811617918, 'f1-score': 0.9289209301492564, 'support': 29334.0} |
-| 0.0018        | 37.0  | 2997 | 0.6063          | {'precision': 0.8619499568593615, 'recall': 0.881729920564872, 'f1-score': 0.8717277486910995, 'support': 1133.0}  | {'precision': 0.9392710390095522, 'recall': 0.9600720013091147, 'f1-score': 0.9495576176089771, 'support': 18333.0} | {'precision': 0.9199872827469266, 'recall': 0.8797122010539117, 'f1-score': 0.8993990882718607, 'support': 9868.0} | 0.9300   | {'precision': 0.9070694262052802, 'recall': 0.9071713743092995, 'f1-score': 0.9068948181906458, 'support': 29334.0} | {'precision': 0.9297974966056608, 'recall': 0.9300129542510398, 'f1-score': 0.9296781054734817, 'support': 29334.0} |
-| 0.0016        | 38.0  | 3078 | 0.6193          | {'precision': 0.8541315345699831, 'recall': 0.8940864960282436, 'f1-score': 0.873652436394998, 'support': 1133.0}  | {'precision': 0.9372875955819882, 'recall': 0.9627993236240658, 'f1-score': 0.9498721915780978, 'support': 18333.0} | {'precision': 0.9259338772005152, 'recall': 0.8741386299148763, 'f1-score': 0.8992910758965804, 'support': 9868.0} | 0.9303   | {'precision': 0.9057843357841623, 'recall': 0.9103414831890619, 'f1-score': 0.9076052346232254, 'support': 29334.0} | {'precision': 0.9302563584470943, 'recall': 0.9303197654598759, 'f1-score': 0.9299127100151448, 'support': 29334.0} |
-| 0.0016        | 39.0  | 3159 | 0.6373          | {'precision': 0.8519764507989908, 'recall': 0.8940864960282436, 'f1-score': 0.8725236864771748, 'support': 1133.0} | {'precision': 0.9361533167451956, 'recall': 0.9645448099056346, 'f1-score': 0.9501370157433776, 'support': 18333.0} | {'precision': 0.9292350907519447, 'recall': 0.8716051884880421, 'f1-score': 0.8994980129679984, 'support': 9868.0} | 0.9306   | {'precision': 0.9057882860987103, 'recall': 0.9100788314739735, 'f1-score': 0.9073862383961835, 'support': 29334.0} | {'precision': 0.9305747579663571, 'recall': 0.9305583964000819, 'f1-score': 0.9301042353027269, 'support': 29334.0} |
-| 0.0016        | 40.0  | 3240 | 0.6333          | {'precision': 0.8584825234441603, 'recall': 0.8887908208296558, 'f1-score': 0.8733738074588032, 'support': 1133.0} | {'precision': 0.9395264505119454, 'recall': 0.9609992908961981, 'f1-score': 0.9501415666711609, 'support': 18333.0} | {'precision': 0.922414709320863, 'recall': 0.8795095257397649, 'f1-score': 0.9004513150386471, 'support': 9868.0}  | 0.9308   | {'precision': 0.9068078944256562, 'recall': 0.909766545821873, 'f1-score': 0.907988896389537, 'support': 29334.0}   | {'precision': 0.930639785500648, 'recall': 0.9307970273402877, 'f1-score': 0.9304606068873861, 'support': 29334.0}  |
-| 0.0016        | 41.0  | 3321 | 0.6439          | {'precision': 0.8614200171086399, 'recall': 0.8887908208296558, 'f1-score': 0.8748913987836664, 'support': 1133.0} | {'precision': 0.9370962617812136, 'recall': 0.96536300660012, 'f1-score': 0.9510196405061931, 'support': 18333.0}   | {'precision': 0.9296260372885009, 'recall': 0.8741386299148763, 'f1-score': 0.9010288818091607, 'support': 9868.0} | 0.9317   | {'precision': 0.9093807720594516, 'recall': 0.909430819114884, 'f1-score': 0.9089799736996733, 'support': 29334.0}  | {'precision': 0.931660338943956, 'recall': 0.9317174609667962, 'f1-score': 0.9312622905132177, 'support': 29334.0}  |
-| 0.0016        | 42.0  | 3402 | 0.6369          | {'precision': 0.8612068965517241, 'recall': 0.881729920564872, 'f1-score': 0.8713475795900567, 'support': 1133.0}  | {'precision': 0.9372546939641455, 'recall': 0.9638902525500463, 'f1-score': 0.9503858875413451, 'support': 18333.0} | {'precision': 0.9261802575107296, 'recall': 0.8747466558573166, 'f1-score': 0.8997289972899729, 'support': 9868.0} | 0.9307   | {'precision': 0.9082139493421998, 'recall': 0.9067889429907449, 'f1-score': 0.907154154807125, 'support': 29334.0}  | {'precision': 0.9305919581152813, 'recall': 0.9307288470716575, 'f1-score': 0.93029205117708, 'support': 29334.0}   |
-| 0.0016        | 43.0  | 3483 | 0.6516          | {'precision': 0.8535139712108383, 'recall': 0.8896734333627537, 'f1-score': 0.8712186689714779, 'support': 1133.0} | {'precision': 0.9362006788290199, 'recall': 0.9629084165166639, 'f1-score': 0.949366748232004, 'support': 18333.0}  | {'precision': 0.92567494890825, 'recall': 0.872111876773409, 'f1-score': 0.898095486564049, 'support': 9868.0}     | 0.9295   | {'precision': 0.905129866316036, 'recall': 0.9082312422176089, 'f1-score': 0.9062269679225103, 'support': 29334.0}  | {'precision': 0.9294661065719273, 'recall': 0.9295356923706279, 'f1-score': 0.929100620736894, 'support': 29334.0}  |
-| 0.0014        | 44.0  | 3564 | 0.6528          | {'precision': 0.8609442060085837, 'recall': 0.8852603706972639, 'f1-score': 0.8729329852045257, 'support': 1133.0} | {'precision': 0.9381273567369484, 'recall': 0.9635084274259532, 'f1-score': 0.9506485119207794, 'support': 18333.0} | {'precision': 0.9262312633832976, 'recall': 0.8766720713417105, 'f1-score': 0.9007705122865473, 'support': 9868.0} | 0.9313   | {'precision': 0.9084342753762765, 'recall': 0.9084802898216425, 'f1-score': 0.9081173364706174, 'support': 29334.0} | {'precision': 0.931144362294013, 'recall': 0.9312742892206995, 'f1-score': 0.9308677867499838, 'support': 29334.0}  |
-| 0.0014        | 45.0  | 3645 | 0.6566          | {'precision': 0.8540084388185654, 'recall': 0.8932038834951457, 'f1-score': 0.8731665228645384, 'support': 1133.0} | {'precision': 0.9349078036667196, 'recall': 0.9651993672612229, 'f1-score': 0.9498121309715513, 'support': 18333.0} | {'precision': 0.9299501192799826, 'recall': 0.8690717470612079, 'f1-score': 0.8984808800419066, 'support': 9868.0} | 0.9301   | {'precision': 0.9062887872550892, 'recall': 0.9091583326058589, 'f1-score': 0.9071531779593321, 'support': 29334.0} | {'precision': 0.9301153645209747, 'recall': 0.93008113451967, 'f1-score': 0.9295838546315028, 'support': 29334.0}   |
-| 0.0014        | 46.0  | 3726 | 0.6471          | {'precision': 0.8521959459459459, 'recall': 0.8905560458958517, 'f1-score': 0.870953819594303, 'support': 1133.0}  | {'precision': 0.9352380952380952, 'recall': 0.9641629847815415, 'f1-score': 0.9494802997341067, 'support': 18333.0} | {'precision': 0.9281081081081081, 'recall': 0.8699837859748683, 'f1-score': 0.8981064964954492, 'support': 9868.0} | 0.9296   | {'precision': 0.9051807164307165, 'recall': 0.9082342722174205, 'f1-score': 0.9061802052746196, 'support': 29334.0} | {'precision': 0.9296321271414592, 'recall': 0.9296379627735734, 'f1-score': 0.9291650617046028, 'support': 29334.0} |
-| 0.0014        | 47.0  | 3807 | 0.6518          | {'precision': 0.8537616229923922, 'recall': 0.8914386584289496, 'f1-score': 0.8721934369602763, 'support': 1133.0} | {'precision': 0.936179227795138, 'recall': 0.9641629847815415, 'f1-score': 0.9499650669103026, 'support': 18333.0}  | {'precision': 0.9281553398058252, 'recall': 0.8719092014592622, 'f1-score': 0.8991535165639043, 'support': 9868.0} | 0.9303   | {'precision': 0.9060320635311184, 'recall': 0.9091702815565844, 'f1-score': 0.9071040068114944, 'support': 29334.0} | {'precision': 0.9302966726400262, 'recall': 0.9303197654598759, 'f1-score': 0.929868126992404, 'support': 29334.0}  |
-| 0.0014        | 48.0  | 3888 | 0.6532          | {'precision': 0.8524451939291737, 'recall': 0.8923212709620476, 'f1-score': 0.871927554980595, 'support': 1133.0}  | {'precision': 0.9361364117771659, 'recall': 0.9642720776741396, 'f1-score': 0.9499959695837924, 'support': 18333.0} | {'precision': 0.9285405872193437, 'recall': 0.8717065261451156, 'f1-score': 0.8992264269287059, 'support': 9868.0} | 0.9304   | {'precision': 0.9057073976418945, 'recall': 0.9094332915937676, 'f1-score': 0.9070499838310311, 'support': 29334.0} | {'precision': 0.9303486655932715, 'recall': 0.930353855594191, 'f1-score': 0.929901698067265, 'support': 29334.0}   |
-| 0.0014        | 49.0  | 3969 | 0.6541          | {'precision': 0.8511354079058032, 'recall': 0.8932038834951457, 'f1-score': 0.8716623600344531, 'support': 1133.0} | {'precision': 0.9361330297092623, 'recall': 0.9642175312278405, 'f1-score': 0.9499677558039552, 'support': 18333.0} | {'precision': 0.9287410926365796, 'recall': 0.8717065261451156, 'f1-score': 0.8993204391008887, 'support': 9868.0} | 0.9304   | {'precision': 0.9053365100838816, 'recall': 0.9097093136227006, 'f1-score': 0.906983518313099, 'support': 29334.0}  | {'precision': 0.9303634128640809, 'recall': 0.930353855594191, 'f1-score': 0.9299054480848339, 'support': 29334.0}  |
-| 0.0013        | 50.0  | 4050 | 0.6554          | {'precision': 0.8511354079058032, 'recall': 0.8932038834951457, 'f1-score': 0.8716623600344531, 'support': 1133.0} | {'precision': 0.9360508205399682, 'recall': 0.9644902634593356, 'f1-score': 0.9500577599871047, 'support': 18333.0} | {'precision': 0.9292274446245273, 'recall': 0.8715038508309688, 'f1-score': 0.8994404643622863, 'support': 9868.0} | 0.9305   | {'precision': 0.9054712243567663, 'recall': 0.9097326659284835, 'f1-score': 0.907053528127948, 'support': 29334.0}  | {'precision': 0.9304756437468926, 'recall': 0.9304561259971365, 'f1-score': 0.9300020750695325, 'support': 29334.0} |
+| Training Loss | Epoch | Step | Validation Loss | B                                                                                                                  | I                                                                                                                   | O                                                                                                                   | Accuracy | Macro avg                                                                                                           | Weighted avg                                                                                                        |
+|:-------------:|:-----:|:----:|:---------------:|:------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:--------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|
+| No log        | 1.0   | 81   | 0.2229          | {'precision': 0.8189730200174065, 'recall': 0.7988115449915111, 'f1-score': 0.8087666523420713, 'support': 1178.0} | {'precision': 0.9521418826739427, 'recall': 0.9232234509762421, 'f1-score': 0.9374597034171502, 'support': 18899.0} | {'precision': 0.863303347862376, 'recall': 0.9144400785854617, 'f1-score': 0.8881362400419788, 'support': 10180.0}  | 0.9154   | {'precision': 0.8781394168512416, 'recall': 0.8788250248510717, 'f1-score': 0.8781208652670669, 'support': 30257.0} | {'precision': 0.9170673807540184, 'recall': 0.9154245298608586, 'f1-score': 0.9158543469268937, 'support': 30257.0} |
+| No log        | 2.0   | 162  | 0.1669          | {'precision': 0.7585499316005472, 'recall': 0.9414261460101867, 'f1-score': 0.8401515151515152, 'support': 1178.0} | {'precision': 0.9510219016256338, 'recall': 0.9626964389650247, 'f1-score': 0.9568235603470944, 'support': 18899.0} | {'precision': 0.9430877483443708, 'recall': 0.8952848722986247, 'f1-score': 0.9185648054827655, 'support': 10180.0} | 0.9392   | {'precision': 0.8842198605235172, 'recall': 0.9331358190912787, 'f1-score': 0.905179960327125, 'support': 30257.0}  | {'precision': 0.9408589092241132, 'recall': 0.9391876260038999, 'f1-score': 0.9394089523635119, 'support': 30257.0} |
+| No log        | 3.0   | 243  | 0.1742          | {'precision': 0.8294025157232704, 'recall': 0.8955857385398981, 'f1-score': 0.8612244897959184, 'support': 1178.0} | {'precision': 0.9584654236741712, 'recall': 0.9438594634636753, 'f1-score': 0.951106371634231, 'support': 18899.0}  | {'precision': 0.9021592442645074, 'recall': 0.9193516699410609, 'f1-score': 0.9106743212999903, 'support': 10180.0} | 0.9337   | {'precision': 0.8966757278873163, 'recall': 0.9195989573148781, 'f1-score': 0.9076683942433799, 'support': 30257.0} | {'precision': 0.9344963252190521, 'recall': 0.9337343424662061, 'f1-score': 0.9340035812317422, 'support': 30257.0} |
+| No log        | 4.0   | 324  | 0.1879          | {'precision': 0.8254931714719271, 'recall': 0.9235993208828522, 'f1-score': 0.8717948717948719, 'support': 1178.0} | {'precision': 0.9374586871408959, 'recall': 0.9755542621302714, 'f1-score': 0.9561271586371415, 'support': 18899.0} | {'precision': 0.956427955133736, 'recall': 0.8711198428290766, 'f1-score': 0.9117828500925355, 'support': 10180.0}  | 0.9384   | {'precision': 0.9064599379155197, 'recall': 0.9234244752807333, 'f1-score': 0.9132349601748496, 'support': 30257.0} | {'precision': 0.9394817486046585, 'recall': 0.9383944211256899, 'f1-score': 0.9379241479327001, 'support': 30257.0} |
+| No log        | 5.0   | 405  | 0.1999          | {'precision': 0.8320552147239264, 'recall': 0.9210526315789473, 'f1-score': 0.8742949234488315, 'support': 1178.0} | {'precision': 0.9521148825065274, 'recall': 0.9647600402137679, 'f1-score': 0.9583957528450158, 'support': 18899.0} | {'precision': 0.9375701315923697, 'recall': 0.9028487229862475, 'f1-score': 0.9198818996146724, 'support': 10180.0} | 0.9422   | {'precision': 0.9072467429409411, 'recall': 0.9295537982596542, 'f1-score': 0.9175241919695066, 'support': 30257.0} | {'precision': 0.9425469857238316, 'recall': 0.9422282447037049, 'f1-score': 0.9421634164298524, 'support': 30257.0} |
+| No log        | 6.0   | 486  | 0.2062          | {'precision': 0.8564554931836408, 'recall': 0.9066213921901528, 'f1-score': 0.8808247422680412, 'support': 1178.0} | {'precision': 0.9446361435855178, 'recall': 0.9705275411397428, 'f1-score': 0.957406827435014, 'support': 18899.0}  | {'precision': 0.9443344105076619, 'recall': 0.8898821218074656, 'f1-score': 0.9163000050574014, 'support': 10180.0} | 0.9409   | {'precision': 0.9151420157589403, 'recall': 0.922343685045787, 'f1-score': 0.9181771915868189, 'support': 30257.0}  | {'precision': 0.941101475610967, 'recall': 0.9409062365733549, 'f1-score': 0.9405948120953971, 'support': 30257.0}  |
+| 0.1662        | 7.0   | 567  | 0.2293          | {'precision': 0.8712871287128713, 'recall': 0.8964346349745331, 'f1-score': 0.8836820083682009, 'support': 1178.0} | {'precision': 0.9609854091774159, 'recall': 0.9618498333245146, 'f1-score': 0.9614174269469787, 'support': 18899.0} | {'precision': 0.9295093296475466, 'recall': 0.924852652259332, 'f1-score': 0.9271751440248166, 'support': 10180.0}  | 0.9469   | {'precision': 0.9205939558459445, 'recall': 0.9277123735194599, 'f1-score': 0.9240915264466655, 'support': 30257.0} | {'precision': 0.9469030129054358, 'recall': 0.9468552731599299, 'f1-score': 0.9468700903559945, 'support': 30257.0} |
+| 0.1662        | 8.0   | 648  | 0.2297          | {'precision': 0.8563402889245586, 'recall': 0.9057724957555179, 'f1-score': 0.8803630363036303, 'support': 1178.0} | {'precision': 0.9550928116947994, 'recall': 0.9610561405365363, 'f1-score': 0.9580651967507121, 'support': 18899.0} | {'precision': 0.9294576746047628, 'recall': 0.912475442043222, 'f1-score': 0.9208882720333101, 'support': 10180.0}  | 0.9426   | {'precision': 0.9136302584080402, 'recall': 0.9264346927784253, 'f1-score': 0.9197721683625509, 'support': 30257.0} | {'precision': 0.942623096673485, 'recall': 0.9425587467362925, 'f1-score': 0.9425317916335554, 'support': 30257.0}  |
+| 0.1662        | 9.0   | 729  | 0.2440          | {'precision': 0.8711256117455138, 'recall': 0.9066213921901528, 'f1-score': 0.8885191347753745, 'support': 1178.0} | {'precision': 0.9574445783763954, 'recall': 0.9666649029049156, 'f1-score': 0.9620326487625066, 'support': 18899.0} | {'precision': 0.9382914572864322, 'recall': 0.9170923379174852, 'f1-score': 0.9275707898658718, 'support': 10180.0} | 0.9476   | {'precision': 0.9222872158027805, 'recall': 0.9301262110041845, 'f1-score': 0.9260408578012509, 'support': 30257.0} | {'precision': 0.9476398219436029, 'recall': 0.9476484780381399, 'f1-score': 0.94757580760031, 'support': 30257.0}   |
+| 0.1662        | 10.0  | 810  | 0.2947          | {'precision': 0.8357748650732459, 'recall': 0.9202037351443124, 'f1-score': 0.875959595959596, 'support': 1178.0}  | {'precision': 0.9424749163879599, 'recall': 0.9692047198264458, 'f1-score': 0.955652945166171, 'support': 18899.0}  | {'precision': 0.9441469816272966, 'recall': 0.8833988212180747, 'f1-score': 0.9127632580563309, 'support': 10180.0} | 0.9384   | {'precision': 0.9074655876961675, 'recall': 0.9242690920629443, 'f1-score': 0.9147919330606994, 'support': 30257.0} | {'precision': 0.9388833165494999, 'recall': 0.9384274713289487, 'f1-score': 0.9381199518045186, 'support': 30257.0} |
+| 0.1662        | 11.0  | 891  | 0.3094          | {'precision': 0.8509615384615384, 'recall': 0.9015280135823429, 'f1-score': 0.875515251442704, 'support': 1178.0}  | {'precision': 0.9547582723972855, 'recall': 0.96031536060109, 'f1-score': 0.9575287538250502, 'support': 18899.0}   | {'precision': 0.9278, 'recall': 0.9113948919449901, 'f1-score': 0.9195242814667988, 'support': 10180.0}             | 0.9416   | {'precision': 0.9111732702862746, 'recall': 0.9244127553761411, 'f1-score': 0.9175227622448511, 'support': 30257.0} | {'precision': 0.9416470001105195, 'recall': 0.9415672406385299, 'f1-score': 0.9415490653426031, 'support': 30257.0} |
+| 0.1662        | 12.0  | 972  | 0.2861          | {'precision': 0.8590982286634461, 'recall': 0.9057724957555179, 'f1-score': 0.8818181818181817, 'support': 1178.0} | {'precision': 0.9457436856875585, 'recall': 0.9629080903751521, 'f1-score': 0.9542487087386278, 'support': 18899.0} | {'precision': 0.9297042873222142, 'recall': 0.8925343811394892, 'f1-score': 0.910740239562973, 'support': 10180.0}  | 0.9370   | {'precision': 0.9115154005577396, 'recall': 0.9204049890900531, 'f1-score': 0.9156023767065942, 'support': 30257.0} | {'precision': 0.9369738332985704, 'recall': 0.9370063125888224, 'f1-score': 0.9367902899621314, 'support': 30257.0} |
+| 0.0233        | 13.0  | 1053 | 0.3311          | {'precision': 0.8622898318654924, 'recall': 0.9142614601018676, 'f1-score': 0.8875154511742892, 'support': 1178.0} | {'precision': 0.9497877627083549, 'recall': 0.9708450182549341, 'f1-score': 0.9602009576889865, 'support': 18899.0} | {'precision': 0.9463364293085655, 'recall': 0.9007858546168959, 'f1-score': 0.9229994967287367, 'support': 10180.0} | 0.9451   | {'precision': 0.9194713412941375, 'recall': 0.9286307776578991, 'f1-score': 0.9235719685306708, 'support': 30257.0} | {'precision': 0.9452199887538072, 'recall': 0.9450705621839575, 'f1-score': 0.9448546114137558, 'support': 30257.0} |
+| 0.0233        | 14.0  | 1134 | 0.3267          | {'precision': 0.8516439454691259, 'recall': 0.9015280135823429, 'f1-score': 0.8758762886597938, 'support': 1178.0} | {'precision': 0.9569456155143339, 'recall': 0.9608444891264089, 'f1-score': 0.9588910891089109, 'support': 18899.0} | {'precision': 0.9290412597169623, 'recall': 0.9157170923379175, 'f1-score': 0.9223310576827941, 'support': 10180.0} | 0.9434   | {'precision': 0.9125436069001407, 'recall': 0.9260298650155564, 'f1-score': 0.9190328118171663, 'support': 30257.0} | {'precision': 0.943457440568685, 'recall': 0.9433519516145025, 'f1-score': 0.9433584006451857, 'support': 30257.0}  |
+| 0.0233        | 15.0  | 1215 | 0.4276          | {'precision': 0.8463925523661753, 'recall': 0.9261460101867572, 'f1-score': 0.8844750709363599, 'support': 1178.0} | {'precision': 0.9367500508440105, 'recall': 0.974866395047357, 'f1-score': 0.9554282158321882, 'support': 18899.0}  | {'precision': 0.9536559139784946, 'recall': 0.8712180746561886, 'f1-score': 0.9105749486652978, 'support': 10180.0} | 0.9381   | {'precision': 0.9122661723962269, 'recall': 0.924076826630101, 'f1-score': 0.9168260784779486, 'support': 30257.0}  | {'precision': 0.9389201454833387, 'recall': 0.9380969692963612, 'f1-score': 0.9375748574540862, 'support': 30257.0} |
+| 0.0233        | 16.0  | 1296 | 0.3448          | {'precision': 0.8752079866888519, 'recall': 0.8930390492359932, 'f1-score': 0.8840336134453782, 'support': 1178.0} | {'precision': 0.9629688917346994, 'recall': 0.9549182496428382, 'f1-score': 0.9589266737513285, 'support': 18899.0} | {'precision': 0.9174907892185379, 'recall': 0.9295677799607073, 'f1-score': 0.923489801893237, 'support': 10180.0}  | 0.9440   | {'precision': 0.9185558892140296, 'recall': 0.9258416929465129, 'f1-score': 0.9221500296966479, 'support': 30257.0} | {'precision': 0.9442509279657028, 'recall': 0.9439799054764186, 'f1-score': 0.9440880783665984, 'support': 30257.0} |
+| 0.0233        | 17.0  | 1377 | 0.3998          | {'precision': 0.8586601307189542, 'recall': 0.8921901528013583, 'f1-score': 0.8751040799333889, 'support': 1178.0} | {'precision': 0.954598493688342, 'recall': 0.9523255198687761, 'f1-score': 0.9534606521336053, 'support': 18899.0}  | {'precision': 0.9118773946360154, 'recall': 0.9117878192534381, 'f1-score': 0.9118326047448303, 'support': 10180.0} | 0.9363   | {'precision': 0.9083786730144373, 'recall': 0.9187678306411908, 'f1-score': 0.9134657789372748, 'support': 30257.0} | {'precision': 0.936489752572877, 'recall': 0.9363453085236474, 'f1-score': 0.9364041837306049, 'support': 30257.0}  |
+| 0.0233        | 18.0  | 1458 | 0.3564          | {'precision': 0.8624898291293734, 'recall': 0.8998302207130731, 'f1-score': 0.8807644370585792, 'support': 1178.0} | {'precision': 0.9545669415410474, 'recall': 0.961638181914387, 'f1-score': 0.958089514470979, 'support': 18899.0}   | {'precision': 0.9294223646010612, 'recall': 0.9119842829076621, 'f1-score': 0.9206207546234321, 'support': 10180.0} | 0.9425   | {'precision': 0.915493045090494, 'recall': 0.9244842285117074, 'f1-score': 0.9198249020509968, 'support': 30257.0}  | {'precision': 0.9425221706890129, 'recall': 0.9425256965330336, 'f1-score': 0.9424726021386316, 'support': 30257.0} |
+| 0.0067        | 19.0  | 1539 | 0.4198          | {'precision': 0.8400936037441498, 'recall': 0.9142614601018676, 'f1-score': 0.8756097560975611, 'support': 1178.0} | {'precision': 0.9492258770786633, 'recall': 0.9634901317530028, 'f1-score': 0.9563048159235334, 'support': 18899.0} | {'precision': 0.9343341503267973, 'recall': 0.8987229862475442, 'f1-score': 0.9161826557180053, 'support': 10180.0} | 0.9398   | {'precision': 0.9078845437165368, 'recall': 0.9254915260341382, 'f1-score': 0.9160324092463666, 'support': 30257.0} | {'precision': 0.9399666776761432, 'recall': 0.9397825296625574, 'f1-score': 0.9396639602085823, 'support': 30257.0} |
+| 0.0067        | 20.0  | 1620 | 0.4047          | {'precision': 0.8653690186536902, 'recall': 0.9057724957555179, 'f1-score': 0.8851099128992119, 'support': 1178.0} | {'precision': 0.9427633603446507, 'recall': 0.972644055241018, 'f1-score': 0.9574706357267495, 'support': 18899.0}  | {'precision': 0.9470921688011757, 'recall': 0.8862475442043222, 'f1-score': 0.9156602050137015, 'support': 10180.0} | 0.9410   | {'precision': 0.9184081825998388, 'recall': 0.921554698400286, 'f1-score': 0.9194135845465543, 'support': 30257.0}  | {'precision': 0.9412065878812694, 'recall': 0.9409723369798725, 'f1-score': 0.9405862414989786, 'support': 30257.0} |
+| 0.0067        | 21.0  | 1701 | 0.3955          | {'precision': 0.8605577689243028, 'recall': 0.9168081494057725, 'f1-score': 0.8877928483353884, 'support': 1178.0} | {'precision': 0.9505640172584082, 'recall': 0.9675644213979576, 'f1-score': 0.9589888818963709, 'support': 18899.0} | {'precision': 0.9401945724526369, 'recall': 0.9018664047151277, 'f1-score': 0.9206317372775131, 'support': 10180.0} | 0.9435   | {'precision': 0.9171054528784492, 'recall': 0.9287463251729525, 'f1-score': 0.9224711558364241, 'support': 30257.0} | {'precision': 0.9435709806500092, 'recall': 0.9434841524275375, 'f1-score': 0.9433116944767718, 'support': 30257.0} |
+| 0.0067        | 22.0  | 1782 | 0.4533          | {'precision': 0.8592115848753017, 'recall': 0.9066213921901528, 'f1-score': 0.882280049566295, 'support': 1178.0}  | {'precision': 0.9404493229380386, 'recall': 0.9701571511720197, 'f1-score': 0.955072275035812, 'support': 18899.0}  | {'precision': 0.9423198150872032, 'recall': 0.881041257367387, 'f1-score': 0.9106508274951772, 'support': 10180.0}  | 0.9377   | {'precision': 0.9139935743001812, 'recall': 0.9192732669098532, 'f1-score': 0.9160010506990948, 'support': 30257.0} | {'precision': 0.9379158118378169, 'recall': 0.9377003668572562, 'f1-score': 0.9372926016522395, 'support': 30257.0} |
+| 0.0067        | 23.0  | 1863 | 0.4375          | {'precision': 0.8553459119496856, 'recall': 0.9235993208828522, 'f1-score': 0.8881632653061224, 'support': 1178.0} | {'precision': 0.947898378601673, 'recall': 0.9713212339277211, 'f1-score': 0.9594668757350059, 'support': 18899.0}  | {'precision': 0.9480195446512112, 'recall': 0.8957760314341847, 'f1-score': 0.9211576342239507, 'support': 10180.0} | 0.9440   | {'precision': 0.9170879450675233, 'recall': 0.9302321954149194, 'f1-score': 0.9229292584216929, 'support': 30257.0} | {'precision': 0.9443357869590202, 'recall': 0.9440460058829362, 'f1-score': 0.9438016170620454, 'support': 30257.0} |
+| 0.0067        | 24.0  | 1944 | 0.4327          | {'precision': 0.857484076433121, 'recall': 0.9142614601018676, 'f1-score': 0.8849630238290879, 'support': 1178.0}  | {'precision': 0.9468112441543759, 'recall': 0.974866395047357, 'f1-score': 0.960634026800146, 'support': 18899.0}   | {'precision': 0.9535736742821211, 'recall': 0.8938113948919449, 'f1-score': 0.9227258898691816, 'support': 10180.0} | 0.9452   | {'precision': 0.9192896649565393, 'recall': 0.9276464166803898, 'f1-score': 0.9227743134994718, 'support': 30257.0} | {'precision': 0.9456086839245054, 'recall': 0.9452358132002512, 'f1-score': 0.9449336838891791, 'support': 30257.0} |
+| 0.0035        | 25.0  | 2025 | 0.4138          | {'precision': 0.8708367181153533, 'recall': 0.9100169779286927, 'f1-score': 0.8899958488999585, 'support': 1178.0} | {'precision': 0.9488636363636364, 'recall': 0.9720091010106355, 'f1-score': 0.9602969235996759, 'support': 18899.0} | {'precision': 0.946927374301676, 'recall': 0.8991159135559922, 'f1-score': 0.92240249924418, 'support': 10180.0}    | 0.9451   | {'precision': 0.9222092429268886, 'recall': 0.9270473308317735, 'f1-score': 0.9242317572479383, 'support': 30257.0} | {'precision': 0.9451743460345479, 'recall': 0.9450705621839575, 'f1-score': 0.9448102624655512, 'support': 30257.0} |
+| 0.0035        | 26.0  | 2106 | 0.3777          | {'precision': 0.863013698630137, 'recall': 0.9091680814940577, 'f1-score': 0.885489871847871, 'support': 1178.0}   | {'precision': 0.9566149181955987, 'recall': 0.9683581141859358, 'f1-score': 0.9624506968183014, 'support': 18899.0} | {'precision': 0.9417298937784522, 'recall': 0.9144400785854617, 'f1-score': 0.9278843757787192, 'support': 10180.0} | 0.9479   | {'precision': 0.9204528368680626, 'recall': 0.9306554247551517, 'f1-score': 0.9252749814816305, 'support': 30257.0} | {'precision': 0.9479626464827831, 'recall': 0.9479128796642099, 'f1-score': 0.9478244946172202, 'support': 30257.0} |
+| 0.0035        | 27.0  | 2187 | 0.4414          | {'precision': 0.8652138821630347, 'recall': 0.9100169779286927, 'f1-score': 0.8870500620604055, 'support': 1178.0} | {'precision': 0.949971456743993, 'recall': 0.9685697655960633, 'f1-score': 0.9591804653112554, 'support': 18899.0}  | {'precision': 0.940917017129962, 'recall': 0.9010805500982318, 'f1-score': 0.9205680164584273, 'support': 10180.0}  | 0.9436   | {'precision': 0.9187007853456634, 'recall': 0.926555764540996, 'f1-score': 0.922266181276696, 'support': 30257.0}   | {'precision': 0.9436252023854246, 'recall': 0.9435833030373136, 'f1-score': 0.9433810025637493, 'support': 30257.0} |
+| 0.0035        | 28.0  | 2268 | 0.5109          | {'precision': 0.8656957928802589, 'recall': 0.9083191850594228, 'f1-score': 0.8864954432477217, 'support': 1178.0} | {'precision': 0.9367454600791316, 'recall': 0.9771416477062278, 'f1-score': 0.9565172351280657, 'support': 18899.0} | {'precision': 0.9549801224884495, 'recall': 0.8730844793713163, 'f1-score': 0.912197875506748, 'support': 10180.0}  | 0.9395   | {'precision': 0.9191404584826133, 'recall': 0.9195151040456556, 'f1-score': 0.9184035179608451, 'support': 30257.0} | {'precision': 0.9401143451426405, 'recall': 0.9394520276299699, 'f1-score': 0.9388797710113306, 'support': 30257.0} |
+| 0.0035        | 29.0  | 2349 | 0.4104          | {'precision': 0.8745874587458746, 'recall': 0.8998302207130731, 'f1-score': 0.8870292887029289, 'support': 1178.0} | {'precision': 0.9618437764606266, 'recall': 0.9616910947669188, 'f1-score': 0.9617674295541738, 'support': 18899.0} | {'precision': 0.9295497093309686, 'recall': 0.9267190569744598, 'f1-score': 0.9281322249003886, 'support': 10180.0} | 0.9475   | {'precision': 0.9219936481791565, 'recall': 0.9294134574848173, 'f1-score': 0.9256429810524972, 'support': 30257.0} | {'precision': 0.9475812406623685, 'recall': 0.9475162772251049, 'f1-score': 0.94754103852736, 'support': 30257.0}   |
+| 0.0035        | 30.0  | 2430 | 0.4500          | {'precision': 0.8661800486618005, 'recall': 0.9066213921901528, 'f1-score': 0.885939444214019, 'support': 1178.0}  | {'precision': 0.9514921493189145, 'recall': 0.9683581141859358, 'f1-score': 0.959851047649018, 'support': 18899.0}  | {'precision': 0.9406537282941777, 'recall': 0.9046168958742633, 'f1-score': 0.9222834251377066, 'support': 10180.0} | 0.9445   | {'precision': 0.9194419754249642, 'recall': 0.9265321340834506, 'f1-score': 0.9226913056669145, 'support': 30257.0} | {'precision': 0.9445240830662821, 'recall': 0.9445087087285586, 'f1-score': 0.9443337701260784, 'support': 30257.0} |
+| 0.002         | 31.0  | 2511 | 0.4298          | {'precision': 0.8706754530477759, 'recall': 0.8972835314091681, 'f1-score': 0.8837792642140467, 'support': 1178.0} | {'precision': 0.9568856601389766, 'recall': 0.9617969204719826, 'f1-score': 0.9593350046180235, 'support': 18899.0} | {'precision': 0.9286354135562854, 'recall': 0.9165029469548134, 'f1-score': 0.9225292925297869, 'support': 10180.0} | 0.9440   | {'precision': 0.9187321755810127, 'recall': 0.9251944662786548, 'f1-score': 0.9218811871206191, 'support': 30257.0} | {'precision': 0.9440244004580688, 'recall': 0.9440460058829362, 'f1-score': 0.9440100612576726, 'support': 30257.0} |
+| 0.002         | 32.0  | 2592 | 0.4760          | {'precision': 0.8553259141494436, 'recall': 0.9134125636672326, 'f1-score': 0.8834154351395731, 'support': 1178.0} | {'precision': 0.941746080541039, 'recall': 0.9725911423884862, 'f1-score': 0.956920113491423, 'support': 18899.0}   | {'precision': 0.948423162113701, 'recall': 0.8833005893909627, 'f1-score': 0.9147042368139973, 'support': 10180.0}  | 0.9402   | {'precision': 0.9151650522680613, 'recall': 0.9231014318155605, 'f1-score': 0.9183465951483312, 'support': 30257.0} | {'precision': 0.9406279833866747, 'recall': 0.9402452325081799, 'f1-score': 0.9398547687555049, 'support': 30257.0} |
+| 0.002         | 33.0  | 2673 | 0.4852          | {'precision': 0.8562401263823065, 'recall': 0.9202037351443124, 'f1-score': 0.8870703764320785, 'support': 1178.0} | {'precision': 0.9427120730331316, 'recall': 0.9725911423884862, 'f1-score': 0.9574185483240878, 'support': 18899.0} | {'precision': 0.9490150637311703, 'recall': 0.8849705304518664, 'f1-score': 0.9158745488740914, 'support': 10180.0} | 0.9411   | {'precision': 0.9159890877155362, 'recall': 0.9259218026615551, 'f1-score': 0.9201211578767525, 'support': 30257.0} | {'precision': 0.9414660966359792, 'recall': 0.9410714875896486, 'f1-score': 0.9407021501058325, 'support': 30257.0} |
+| 0.002         | 34.0  | 2754 | 0.4916          | {'precision': 0.8603531300160514, 'recall': 0.9100169779286927, 'f1-score': 0.8844884488448845, 'support': 1178.0} | {'precision': 0.9460114474294848, 'recall': 0.9707391925498704, 'f1-score': 0.9582158153139038, 'support': 18899.0} | {'precision': 0.9448949885631108, 'recall': 0.8927308447937131, 'f1-score': 0.9180725325790483, 'support': 10180.0} | 0.9421   | {'precision': 0.9170865220028824, 'recall': 0.9244956717574254, 'f1-score': 0.9202589322459455, 'support': 30257.0} | {'precision': 0.9423008664342536, 'recall': 0.9421290940939286, 'f1-score': 0.9418391270784101, 'support': 30257.0} |
+| 0.002         | 35.0  | 2835 | 0.4850          | {'precision': 0.8555555555555555, 'recall': 0.9151103565365025, 'f1-score': 0.8843314191960623, 'support': 1178.0} | {'precision': 0.947452971964554, 'recall': 0.9674056828403619, 'f1-score': 0.9573253743847523, 'support': 18899.0}  | {'precision': 0.9396907216494845, 'recall': 0.8953831041257367, 'f1-score': 0.9170020120724346, 'support': 10180.0} | 0.9411   | {'precision': 0.9142330830565314, 'recall': 0.9259663811675337, 'f1-score': 0.9195529352177497, 'support': 30257.0} | {'precision': 0.9412634996197344, 'recall': 0.9411375879961662, 'f1-score': 0.9409166521865281, 'support': 30257.0} |
+| 0.002         | 36.0  | 2916 | 0.4619          | {'precision': 0.859663191659984, 'recall': 0.9100169779286927, 'f1-score': 0.8841237113402063, 'support': 1178.0}  | {'precision': 0.9505897022912662, 'recall': 0.9680935499232763, 'f1-score': 0.9592617836732553, 'support': 18899.0} | {'precision': 0.9405920311379699, 'recall': 0.9020628683693517, 'f1-score': 0.9209246352103494, 'support': 10180.0} | 0.9436   | {'precision': 0.9169483083630734, 'recall': 0.9267244654071071, 'f1-score': 0.9214367100746036, 'support': 30257.0} | {'precision': 0.9436859206253968, 'recall': 0.9436163532405725, 'f1-score': 0.9434378480365194, 'support': 30257.0} |
+| 0.002         | 37.0  | 2997 | 0.4825          | {'precision': 0.8603351955307262, 'recall': 0.9151103565365025, 'f1-score': 0.8868778280542986, 'support': 1178.0} | {'precision': 0.9486211000155224, 'recall': 0.9701042383194878, 'f1-score': 0.9592424004604196, 'support': 18899.0} | {'precision': 0.944507595329131, 'recall': 0.8978388998035364, 'f1-score': 0.9205821624616005, 'support': 10180.0}  | 0.9436   | {'precision': 0.9178212969584599, 'recall': 0.9276844982198421, 'f1-score': 0.9222341303254397, 'support': 30257.0} | {'precision': 0.9437998595359455, 'recall': 0.9436494034438312, 'f1-score': 0.9434177420632756, 'support': 30257.0} |
+| 0.0019        | 38.0  | 3078 | 0.4897          | {'precision': 0.8562351072279587, 'recall': 0.9151103565365025, 'f1-score': 0.8846942962659008, 'support': 1178.0} | {'precision': 0.9502076843198338, 'recall': 0.9683581141859358, 'f1-score': 0.9591970439476926, 'support': 18899.0} | {'precision': 0.9416718011912097, 'recall': 0.9007858546168959, 'f1-score': 0.9207751782307462, 'support': 10180.0} | 0.9436   | {'precision': 0.9160381975796673, 'recall': 0.9280847751131113, 'f1-score': 0.9215555061481132, 'support': 30257.0} | {'precision': 0.9436771298675213, 'recall': 0.9435502528340549, 'f1-score': 0.9433693402834936, 'support': 30257.0} |
+| 0.0019        | 39.0  | 3159 | 0.5184          | {'precision': 0.86, 'recall': 0.9125636672325976, 'f1-score': 0.8855024711696869, 'support': 1178.0}               | {'precision': 0.9445815340324902, 'recall': 0.972220752420763, 'f1-score': 0.9582018721806471, 'support': 18899.0}  | {'precision': 0.9478806907378335, 'recall': 0.8896856581532416, 'f1-score': 0.9178616670889282, 'support': 10180.0} | 0.9421   | {'precision': 0.9174874082567746, 'recall': 0.9248233592688675, 'f1-score': 0.9205220034797542, 'support': 30257.0} | {'precision': 0.9423985141749408, 'recall': 0.9421290940939286, 'f1-score': 0.9417989511301594, 'support': 30257.0} |
+| 0.0019        | 40.0  | 3240 | 0.4894          | {'precision': 0.8642570281124498, 'recall': 0.9134125636672326, 'f1-score': 0.8881551795295088, 'support': 1178.0} | {'precision': 0.9459152603602209, 'recall': 0.9698396740568284, 'f1-score': 0.9577280802591702, 'support': 18899.0} | {'precision': 0.9433316035288013, 'recall': 0.8928290766208251, 'f1-score': 0.9173858188241231, 'support': 10180.0} | 0.9417   | {'precision': 0.9178346306671573, 'recall': 0.925360438114962, 'f1-score': 0.9210896928709341, 'support': 30257.0}  | {'precision': 0.9418667749144818, 'recall': 0.9417324916548236, 'f1-score': 0.9414461918211784, 'support': 30257.0} |
+| 0.0019        | 41.0  | 3321 | 0.4576          | {'precision': 0.8601626016260162, 'recall': 0.8981324278438031, 'f1-score': 0.8787375415282391, 'support': 1178.0} | {'precision': 0.9541640444724145, 'recall': 0.9626964389650247, 'f1-score': 0.9584112518766298, 'support': 18899.0} | {'precision': 0.9302138768952706, 'recall': 0.9100196463654224, 'f1-score': 0.9200059585878146, 'support': 10180.0} | 0.9425   | {'precision': 0.9148468409979005, 'recall': 0.9236161710580834, 'f1-score': 0.9190515839975612, 'support': 30257.0} | {'precision': 0.9424462137023982, 'recall': 0.9424595961265162, 'f1-score': 0.942387802213063, 'support': 30257.0}  |
+| 0.0019        | 42.0  | 3402 | 0.5007          | {'precision': 0.8561151079136691, 'recall': 0.9091680814940577, 'f1-score': 0.8818443804034581, 'support': 1178.0} | {'precision': 0.9438665156040786, 'recall': 0.9697867612042965, 'f1-score': 0.9566510948143122, 'support': 18899.0} | {'precision': 0.9431581143095537, 'recall': 0.8883104125736738, 'f1-score': 0.9149129906920276, 'support': 10180.0} | 0.9400   | {'precision': 0.9143799126091005, 'recall': 0.9224217517573426, 'f1-score': 0.9178028219699327, 'support': 30257.0} | {'precision': 0.9402117354395689, 'recall': 0.9400138810853687, 'f1-score': 0.9396958048139538, 'support': 30257.0} |
+| 0.0019        | 43.0  | 3483 | 0.4988          | {'precision': 0.8589743589743589, 'recall': 0.9100169779286927, 'f1-score': 0.8837592745259686, 'support': 1178.0} | {'precision': 0.9474941573617243, 'recall': 0.9653420815916186, 'f1-score': 0.956334853488494, 'support': 18899.0}  | {'precision': 0.9352060693049006, 'recall': 0.8960707269155206, 'f1-score': 0.9152202267482693, 'support': 10180.0} | 0.9399   | {'precision': 0.9138915285469946, 'recall': 0.923809928811944, 'f1-score': 0.9184381182542439, 'support': 30257.0}  | {'precision': 0.9399134633431903, 'recall': 0.9398816802723337, 'f1-score': 0.9396761982274522, 'support': 30257.0} |
+| 0.0015        | 44.0  | 3564 | 0.4983          | {'precision': 0.8664495114006515, 'recall': 0.9032258064516129, 'f1-score': 0.8844555278470491, 'support': 1178.0} | {'precision': 0.9478495740702265, 'recall': 0.9655537330017461, 'f1-score': 0.9566197478440932, 'support': 18899.0} | {'precision': 0.9347448092461901, 'recall': 0.8977406679764244, 'f1-score': 0.9158691186050008, 'support': 10180.0} | 0.9403   | {'precision': 0.9163479649056893, 'recall': 0.9221734024765945, 'f1-score': 0.918981464765381, 'support': 30257.0}  | {'precision': 0.9402713019436625, 'recall': 0.9403113329146974, 'f1-score': 0.9400995754274466, 'support': 30257.0} |
+| 0.0015        | 45.0  | 3645 | 0.4946          | {'precision': 0.8593247588424437, 'recall': 0.9074702886247877, 'f1-score': 0.8827415359207267, 'support': 1178.0} | {'precision': 0.948733946862164, 'recall': 0.9655008201492142, 'f1-score': 0.9570439525857547, 'support': 18899.0}  | {'precision': 0.935480572597137, 'recall': 0.8987229862475442, 'f1-score': 0.9167334669338677, 'support': 10180.0}  | 0.9408   | {'precision': 0.9145130927672481, 'recall': 0.9238980316738488, 'f1-score': 0.9188396518134497, 'support': 30257.0} | {'precision': 0.9407938545362492, 'recall': 0.9407740357603199, 'f1-score': 0.9405886202405911, 'support': 30257.0} |
+| 0.0015        | 46.0  | 3726 | 0.5014          | {'precision': 0.8573717948717948, 'recall': 0.9083191850594228, 'f1-score': 0.8821104699093157, 'support': 1178.0} | {'precision': 0.9471228615863142, 'recall': 0.9667178157574475, 'f1-score': 0.9568200267092619, 'support': 18899.0} | {'precision': 0.9375450149192304, 'recall': 0.8950884086444008, 'f1-score': 0.9158249158249158, 'support': 10180.0} | 0.9403   | {'precision': 0.9140132237924465, 'recall': 0.9233751364870905, 'f1-score': 0.9182518041478311, 'support': 30257.0} | {'precision': 0.9404060940396103, 'recall': 0.9403443831179562, 'f1-score': 0.94011850022901, 'support': 30257.0}   |
+| 0.0015        | 47.0  | 3807 | 0.4940          | {'precision': 0.8604651162790697, 'recall': 0.9108658743633277, 'f1-score': 0.8849484536082474, 'support': 1178.0} | {'precision': 0.9489430218667221, 'recall': 0.9667178157574475, 'f1-score': 0.9577479555462362, 'support': 18899.0} | {'precision': 0.9377882545864508, 'recall': 0.8988212180746562, 'f1-score': 0.9178913577769977, 'support': 10180.0} | 0.9417   | {'precision': 0.9157321309107475, 'recall': 0.9254683027318104, 'f1-score': 0.9201959223104937, 'support': 30257.0} | {'precision': 0.941745265853389, 'recall': 0.9416994414515649, 'f1-score': 0.9415038474531074, 'support': 30257.0}  |
+| 0.0015        | 48.0  | 3888 | 0.4952          | {'precision': 0.8590872698158527, 'recall': 0.9108658743633277, 'f1-score': 0.8842192006592502, 'support': 1178.0} | {'precision': 0.9496384163154883, 'recall': 0.9658182972644055, 'f1-score': 0.9576600209863589, 'support': 18899.0} | {'precision': 0.9365484826811076, 'recall': 0.9003929273084479, 'f1-score': 0.9181148895677868, 'support': 10180.0} | 0.9417   | {'precision': 0.9150913896041496, 'recall': 0.9256923663120604, 'f1-score': 0.9199980370711319, 'support': 30257.0} | {'precision': 0.9417088537357691, 'recall': 0.9416663912483062, 'f1-score': 0.9414957375416553, 'support': 30257.0} |
+| 0.0015        | 49.0  | 3969 | 0.4962          | {'precision': 0.859663191659984, 'recall': 0.9100169779286927, 'f1-score': 0.8841237113402063, 'support': 1178.0}  | {'precision': 0.9498907274430222, 'recall': 0.9659241229694693, 'f1-score': 0.9578403337093685, 'support': 18899.0} | {'precision': 0.9365808823529411, 'recall': 0.9008840864440079, 'f1-score': 0.9183857400360504, 'support': 10180.0} | 0.9419   | {'precision': 0.9153782671519824, 'recall': 0.9256083957807233, 'f1-score': 0.9201165950285417, 'support': 30257.0} | {'precision': 0.9418997746000621, 'recall': 0.9418646924678586, 'f1-score': 0.9416957739464954, 'support': 30257.0} |
+| 0.0012        | 50.0  | 4050 | 0.4962          | {'precision': 0.859663191659984, 'recall': 0.9100169779286927, 'f1-score': 0.8841237113402063, 'support': 1178.0}  | {'precision': 0.9499895920066611, 'recall': 0.9659241229694693, 'f1-score': 0.9578905942542305, 'support': 18899.0} | {'precision': 0.9365938329589545, 'recall': 0.9010805500982318, 'f1-score': 0.9184940422549316, 'support': 10180.0} | 0.9419   | {'precision': 0.9154155388751999, 'recall': 0.9256738836654645, 'f1-score': 0.9201694492831227, 'support': 30257.0} | {'precision': 0.9419658842129591, 'recall': 0.9419307928743762, 'f1-score': 0.9417636058738365, 'support': 30257.0} |
 
 
 ### Framework versions

meta_data/README_s42_e50.md

@@ -17,12 +17,12 @@ model-index:
       name: essays_su_g
       type: essays_su_g
       config: spans
-      split: train[0%:20%]
+      split: train[20%:40%]
       args: spans
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9304561259971365
+      value: 0.9419307928743762
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,13 +32,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the essays_su_g dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6554
-- B: {'precision': 0.8511354079058032, 'recall': 0.8932038834951457, 'f1-score': 0.8716623600344531, 'support': 1133.0}
-- I: {'precision': 0.9360508205399682, 'recall': 0.9644902634593356, 'f1-score': 0.9500577599871047, 'support': 18333.0}
-- O: {'precision': 0.9292274446245273, 'recall': 0.8715038508309688, 'f1-score': 0.8994404643622863, 'support': 9868.0}
-- Accuracy: 0.9305
-- Macro avg: {'precision': 0.9054712243567663, 'recall': 0.9097326659284835, 'f1-score': 0.907053528127948, 'support': 29334.0}
-- Weighted avg: {'precision': 0.9304756437468926, 'recall': 0.9304561259971365, 'f1-score': 0.9300020750695325, 'support': 29334.0}
+- Loss: 0.4962
+- B: {'precision': 0.859663191659984, 'recall': 0.9100169779286927, 'f1-score': 0.8841237113402063, 'support': 1178.0}
+- I: {'precision': 0.9499895920066611, 'recall': 0.9659241229694693, 'f1-score': 0.9578905942542305, 'support': 18899.0}
+- O: {'precision': 0.9365938329589545, 'recall': 0.9010805500982318, 'f1-score': 0.9184940422549316, 'support': 10180.0}
+- Accuracy: 0.9419
+- Macro avg: {'precision': 0.9154155388751999, 'recall': 0.9256738836654645, 'f1-score': 0.9201694492831227, 'support': 30257.0}
+- Weighted avg: {'precision': 0.9419658842129591, 'recall': 0.9419307928743762, 'f1-score': 0.9417636058738365, 'support': 30257.0}
 
 ## Model description
 
@@ -67,58 +67,58 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | B                                                                                                                  | I                                                                                                                   | O                                                                                                                  | Accuracy | Macro avg                                                                                                           | Weighted avg                                                                                                        |
-|:-------------:|:-----:|:----:|:---------------:|:------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:--------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|
-| No log        | 1.0   | 81   | 0.2531          | {'precision': 0.7474747474747475, 'recall': 0.9143865842894969, 'f1-score': 0.8225486304088924, 'support': 1133.0} | {'precision': 0.9081643158653351, 'recall': 0.9623084056073746, 'f1-score': 0.9344527132604147, 'support': 18333.0} | {'precision': 0.9300633654071814, 'recall': 0.8032022699635184, 'f1-score': 0.8619902120717781, 'support': 9868.0} | 0.9069   | {'precision': 0.8619008095824213, 'recall': 0.89329908662013, 'f1-score': 0.8729971852470283, 'support': 29334.0}   | {'precision': 0.9093246942621582, 'recall': 0.9069339333196973, 'f1-score': 0.9057540261532953, 'support': 29334.0} |
-| No log        | 2.0   | 162  | 0.2078          | {'precision': 0.8297520661157025, 'recall': 0.8861429832303619, 'f1-score': 0.8570209133589416, 'support': 1133.0} | {'precision': 0.9325182597650048, 'recall': 0.9610538373424972, 'f1-score': 0.9465710371504554, 'support': 18333.0} | {'precision': 0.9238353196099675, 'recall': 0.8641062018646128, 'f1-score': 0.8929730861870352, 'support': 9868.0} | 0.9255   | {'precision': 0.8953685484968915, 'recall': 0.9037676741458239, 'f1-score': 0.898855012232144, 'support': 29334.0}  | {'precision': 0.9256280521269545, 'recall': 0.9255471466557578, 'f1-score': 0.9250818140522481, 'support': 29334.0} |
-| No log        | 3.0   | 243  | 0.2431          | {'precision': 0.8289473684210527, 'recall': 0.8896734333627537, 'f1-score': 0.8582375478927203, 'support': 1133.0} | {'precision': 0.92943782301445, 'recall': 0.9613265695739922, 'f1-score': 0.9451132859632658, 'support': 18333.0}   | {'precision': 0.923219746614242, 'recall': 0.8566072152411837, 'f1-score': 0.8886669470142977, 'support': 9868.0}  | 0.9233   | {'precision': 0.8938683126832482, 'recall': 0.9025357393926431, 'f1-score': 0.8973392602900946, 'support': 29334.0} | {'precision': 0.9234646975296347, 'recall': 0.9233312879252744, 'f1-score': 0.9227691568304388, 'support': 29334.0} |
-| No log        | 4.0   | 324  | 0.2805          | {'precision': 0.8503869303525365, 'recall': 0.8729037952338923, 'f1-score': 0.8614982578397212, 'support': 1133.0} | {'precision': 0.9574755315558555, 'recall': 0.9284896089019801, 'f1-score': 0.942759823876381, 'support': 18333.0}  | {'precision': 0.8724141248917541, 'recall': 0.9188285366842318, 'f1-score': 0.8950199891417008, 'support': 9868.0} | 0.9231   | {'precision': 0.8934255289333821, 'recall': 0.9067406469400346, 'f1-score': 0.8997593569526009, 'support': 29334.0} | {'precision': 0.9247245481875896, 'recall': 0.9230926569850685, 'f1-score': 0.9235614178123817, 'support': 29334.0} |
-| No log        | 5.0   | 405  | 0.2743          | {'precision': 0.8405063291139241, 'recall': 0.8790820829655781, 'f1-score': 0.8593615185504745, 'support': 1133.0} | {'precision': 0.9325283338629382, 'recall': 0.9604538264332079, 'f1-score': 0.9462851000940481, 'support': 18333.0} | {'precision': 0.921333764972483, 'recall': 0.8652209160924199, 'f1-score': 0.8923961327410503, 'support': 9868.0}  | 0.9253   | {'precision': 0.8981228093164484, 'recall': 0.9015856084970686, 'f1-score': 0.899347583795191, 'support': 29334.0}  | {'precision': 0.92520819555273, 'recall': 0.9252744255812367, 'f1-score': 0.9247994265504382, 'support': 29334.0}   |
-| No log        | 6.0   | 486  | 0.2924          | {'precision': 0.8355481727574751, 'recall': 0.8879082082965578, 'f1-score': 0.8609328198545143, 'support': 1133.0} | {'precision': 0.9304343225942971, 'recall': 0.9593628975072274, 'f1-score': 0.9446771941132237, 'support': 18333.0} | {'precision': 0.9198005852389726, 'recall': 0.8600526955816782, 'f1-score': 0.8889238020424195, 'support': 9868.0} | 0.9232   | {'precision': 0.8952610268635816, 'recall': 0.9024412671284878, 'f1-score': 0.8981779386700525, 'support': 29334.0} | {'precision': 0.923192223733335, 'recall': 0.9231949273880139, 'f1-score': 0.9226871194902669, 'support': 29334.0}  |
-| 0.1596        | 7.0   | 567  | 0.3490          | {'precision': 0.8356729975227085, 'recall': 0.8932038834951457, 'f1-score': 0.863481228668942, 'support': 1133.0}  | {'precision': 0.93515484621076, 'recall': 0.9651993672612229, 'f1-score': 0.949939605422091, 'support': 18333.0}    | {'precision': 0.930659710900989, 'recall': 0.8677543575192541, 'f1-score': 0.8981068750327758, 'support': 9868.0}  | 0.9296   | {'precision': 0.9004958515448193, 'recall': 0.9087192027585408, 'f1-score': 0.9038425697079363, 'support': 29334.0} | {'precision': 0.9298002771168626, 'recall': 0.9296379627735734, 'f1-score': 0.9291636210918572, 'support': 29334.0} |
-| 0.1596        | 8.0   | 648  | 0.3490          | {'precision': 0.8596491228070176, 'recall': 0.8649602824360106, 'f1-score': 0.8622965244170699, 'support': 1133.0} | {'precision': 0.9429824561403509, 'recall': 0.9499263622974963, 'f1-score': 0.946441672780631, 'support': 18333.0}  | {'precision': 0.9021180341353074, 'recall': 0.8891366031617349, 'f1-score': 0.8955802796774524, 'support': 9868.0} | 0.9262   | {'precision': 0.9015832043608919, 'recall': 0.9013410826317473, 'f1-score': 0.9014394922917178, 'support': 29334.0} | {'precision': 0.9260169286632788, 'recall': 0.9261948592077452, 'f1-score': 0.926081794133393, 'support': 29334.0}  |
-| 0.1596        | 9.0   | 729  | 0.4179          | {'precision': 0.8520408163265306, 'recall': 0.884377758164166, 'f1-score': 0.8679081853616285, 'support': 1133.0}  | {'precision': 0.9287558623596985, 'recall': 0.9613811160202913, 'f1-score': 0.9447869203966764, 'support': 18333.0} | {'precision': 0.9209236466615837, 'recall': 0.8568098905553304, 'f1-score': 0.887710640978529, 'support': 9868.0}  | 0.9232   | {'precision': 0.9005734417826042, 'recall': 0.9008562549132626, 'f1-score': 0.900135248912278, 'support': 29334.0}  | {'precision': 0.9231580423670424, 'recall': 0.923229017522329, 'f1-score': 0.9226170038461553, 'support': 29334.0}  |
-| 0.1596        | 10.0  | 810  | 0.5158          | {'precision': 0.822257806244996, 'recall': 0.9064430714916152, 'f1-score': 0.8623005877413936, 'support': 1133.0}  | {'precision': 0.9124053998772755, 'recall': 0.9732722413134784, 'f1-score': 0.9418564754942067, 'support': 18333.0} | {'precision': 0.9440731621526557, 'recall': 0.8159708147547629, 'f1-score': 0.8753601130619123, 'support': 9868.0} | 0.9178   | {'precision': 0.8929121227583091, 'recall': 0.8985620425199521, 'f1-score': 0.8931723920991709, 'support': 29334.0} | {'precision': 0.9195766092093843, 'recall': 0.9177745960319084, 'f1-score': 0.9164142267280712, 'support': 29334.0} |
-| 0.1596        | 11.0  | 891  | 0.4279          | {'precision': 0.8556611927398444, 'recall': 0.8737864077669902, 'f1-score': 0.8646288209606986, 'support': 1133.0} | {'precision': 0.9373558594797533, 'recall': 0.9533082419680358, 'f1-score': 0.9452647520147115, 'support': 18333.0} | {'precision': 0.9077843054972723, 'recall': 0.8768747466558573, 'f1-score': 0.8920618556701031, 'support': 9868.0} | 0.9245   | {'precision': 0.9002671192389567, 'recall': 0.9013231321302945, 'f1-score': 0.9006518095485044, 'support': 29334.0} | {'precision': 0.9242525611871427, 'recall': 0.924524442626304, 'f1-score': 0.9242527287307136, 'support': 29334.0}  |
-| 0.1596        | 12.0  | 972  | 0.4510          | {'precision': 0.842237061769616, 'recall': 0.8905560458958517, 'f1-score': 0.8657228657228657, 'support': 1133.0}  | {'precision': 0.9381618860092598, 'recall': 0.9615993018054874, 'f1-score': 0.9497360198254499, 'support': 18333.0} | {'precision': 0.9247726056714821, 'recall': 0.8757600324280502, 'f1-score': 0.8995992296882319, 'support': 9868.0} | 0.9300   | {'precision': 0.9017238511501193, 'recall': 0.9093051267097964, 'f1-score': 0.9050193717455158, 'support': 29334.0} | {'precision': 0.9299527006190401, 'recall': 0.9299788641167246, 'f1-score': 0.9296249968257807, 'support': 29334.0} |
-| 0.0211        | 13.0  | 1053 | 0.4814          | {'precision': 0.856898029134533, 'recall': 0.8826125330979699, 'f1-score': 0.8695652173913043, 'support': 1133.0}  | {'precision': 0.9383210509452099, 'recall': 0.958435607920144, 'f1-score': 0.9482716748967862, 'support': 18333.0}  | {'precision': 0.9175934752674505, 'recall': 0.877888123226591, 'f1-score': 0.8973017763737118, 'support': 9868.0}  | 0.9284   | {'precision': 0.9042708517823977, 'recall': 0.9063120880815684, 'f1-score': 0.9050462228872674, 'support': 29334.0} | {'precision': 0.9282033717845217, 'recall': 0.9284107179382287, 'f1-score': 0.9280853595296557, 'support': 29334.0} |
-| 0.0211        | 14.0  | 1134 | 0.4911          | {'precision': 0.8470688190314358, 'recall': 0.8799646954986761, 'f1-score': 0.8632034632034632, 'support': 1133.0} | {'precision': 0.9397603195739015, 'recall': 0.9624174984999727, 'f1-score': 0.9509539721892853, 'support': 18333.0} | {'precision': 0.925708804092944, 'recall': 0.8801175516822051, 'f1-score': 0.9023376623376623, 'support': 9868.0}  | 0.9315   | {'precision': 0.9041793142327604, 'recall': 0.9074999152269513, 'f1-score': 0.905498365910137, 'support': 29334.0}  | {'precision': 0.9314532416138313, 'recall': 0.9315470102952206, 'f1-score': 0.9312100889037889, 'support': 29334.0} |
-| 0.0211        | 15.0  | 1215 | 0.4775          | {'precision': 0.8397009966777409, 'recall': 0.8923212709620476, 'f1-score': 0.865211810012837, 'support': 1133.0}  | {'precision': 0.9259123897039628, 'recall': 0.9673266786668848, 'f1-score': 0.9461665688523716, 'support': 18333.0} | {'precision': 0.9330511306672608, 'recall': 0.8488042156465343, 'f1-score': 0.8889360573096311, 'support': 9868.0} | 0.9246   | {'precision': 0.8995548390163215, 'recall': 0.9028173884251555, 'f1-score': 0.9001048120582799, 'support': 29334.0} | {'precision': 0.9249840331050372, 'recall': 0.9245585327606191, 'f1-score': 0.9237873355507777, 'support': 29334.0} |
-| 0.0211        | 16.0  | 1296 | 0.5006          | {'precision': 0.8545611015490534, 'recall': 0.8764342453662842, 'f1-score': 0.865359477124183, 'support': 1133.0}  | {'precision': 0.9472161572052402, 'recall': 0.9465444826269569, 'f1-score': 0.9468802008021172, 'support': 18333.0} | {'precision': 0.8979902557856273, 'recall': 0.8965342521280908, 'f1-score': 0.897261663286004, 'support': 9868.0}  | 0.9270   | {'precision': 0.8999225048466403, 'recall': 0.9065043267071107, 'f1-score': 0.9031671137374347, 'support': 29334.0} | {'precision': 0.9270777726253262, 'recall': 0.9270130224313083, 'f1-score': 0.9270397866705257, 'support': 29334.0} |
-| 0.0211        | 17.0  | 1377 | 0.5324          | {'precision': 0.8460891505466779, 'recall': 0.8879082082965578, 'f1-score': 0.8664944013781224, 'support': 1133.0} | {'precision': 0.9300636741567121, 'recall': 0.9640538918889434, 'f1-score': 0.9467538032997642, 'support': 18333.0} | {'precision': 0.9267118792386786, 'recall': 0.8585326307255776, 'f1-score': 0.8913203577064702, 'support': 9868.0} | 0.9256   | {'precision': 0.9009549013140229, 'recall': 0.9034982436370264, 'f1-score': 0.901522854128119, 'support': 29334.0}  | {'precision': 0.9256926832416877, 'recall': 0.9256153269243881, 'f1-score': 0.9250059631316369, 'support': 29334.0} |
-| 0.0211        | 18.0  | 1458 | 0.5886          | {'precision': 0.8499142367066895, 'recall': 0.8746690203000883, 'f1-score': 0.8621139625924314, 'support': 1133.0} | {'precision': 0.9357597135374913, 'recall': 0.9550537282496045, 'f1-score': 0.945308282042976, 'support': 18333.0}  | {'precision': 0.910013746431215, 'recall': 0.872111876773409, 'f1-score': 0.8906597671410089, 'support': 9868.0}   | 0.9240   | {'precision': 0.8985625655584654, 'recall': 0.9006115417743672, 'f1-score': 0.8993606705921388, 'support': 29334.0} | {'precision': 0.9237830268035296, 'recall': 0.9240471807458921, 'f1-score': 0.9237111350807452, 'support': 29334.0} |
-| 0.0054        | 19.0  | 1539 | 0.5662          | {'precision': 0.8524871355060034, 'recall': 0.8773168578993822, 'f1-score': 0.8647237929534581, 'support': 1133.0} | {'precision': 0.9394004397490213, 'recall': 0.9554900998199968, 'f1-score': 0.9473769605191995, 'support': 18333.0} | {'precision': 0.9122991282428317, 'recall': 0.8802188893392785, 'f1-score': 0.8959719428541957, 'support': 9868.0} | 0.9271   | {'precision': 0.9013955678326188, 'recall': 0.9043419490195524, 'f1-score': 0.9026908987756178, 'support': 29334.0} | {'precision': 0.9269265693034491, 'recall': 0.9271493829685689, 'f1-score': 0.9268918322322205, 'support': 29334.0} |
-| 0.0054        | 20.0  | 1620 | 0.5481          | {'precision': 0.8527397260273972, 'recall': 0.8790820829655781, 'f1-score': 0.8657105606258149, 'support': 1133.0} | {'precision': 0.9360140418062869, 'recall': 0.9599083619702177, 'f1-score': 0.9478106317660365, 'support': 18333.0} | {'precision': 0.9194874532835025, 'recall': 0.8726185650587759, 'f1-score': 0.8954401289450424, 'support': 9868.0} | 0.9274   | {'precision': 0.9027470737057288, 'recall': 0.9038696699981905, 'f1-score': 0.902987107112298, 'support': 29334.0}  | {'precision': 0.9272380761923127, 'recall': 0.9274221040430899, 'f1-score': 0.9270220757409653, 'support': 29334.0} |
-| 0.0054        | 21.0  | 1701 | 0.5435          | {'precision': 0.851027397260274, 'recall': 0.8773168578993822, 'f1-score': 0.8639721860060844, 'support': 1133.0}  | {'precision': 0.9310981074384522, 'recall': 0.9633993345333551, 'f1-score': 0.9469733526352474, 'support': 18333.0} | {'precision': 0.9250842666086767, 'recall': 0.8621807863802189, 'f1-score': 0.8925255704169944, 'support': 9868.0} | 0.9260   | {'precision': 0.9024032571024675, 'recall': 0.9009656596043186, 'f1-score': 0.9011570363527754, 'support': 29334.0} | {'precision': 0.925982381797895, 'recall': 0.9260244085361696, 'f1-score': 0.9254511927961336, 'support': 29334.0}  |
-| 0.0054        | 22.0  | 1782 | 0.5495          | {'precision': 0.8664323374340949, 'recall': 0.8702559576345984, 'f1-score': 0.8683399383531484, 'support': 1133.0} | {'precision': 0.954357075758413, 'recall': 0.9420716740304369, 'f1-score': 0.9481745813889652, 'support': 18333.0}  | {'precision': 0.8916724428161205, 'recall': 0.912545601945683, 'f1-score': 0.9019882806630942, 'support': 9868.0}  | 0.9294   | {'precision': 0.9041539520028761, 'recall': 0.9082910778702393, 'f1-score': 0.9061676001350693, 'support': 29334.0} | {'precision': 0.9298738587952988, 'recall': 0.9293652416990523, 'f1-score': 0.9295539000593656, 'support': 29334.0} |
-| 0.0054        | 23.0  | 1863 | 0.5612          | {'precision': 0.8410981697171381, 'recall': 0.8923212709620476, 'f1-score': 0.8659528907922912, 'support': 1133.0} | {'precision': 0.9308765464595946, 'recall': 0.9644902634593356, 'f1-score': 0.9473853407629661, 'support': 18333.0} | {'precision': 0.9287512312575243, 'recall': 0.8599513579246048, 'f1-score': 0.893028150486714, 'support': 9868.0}  | 0.9265   | {'precision': 0.9002419824780857, 'recall': 0.905587630781996, 'f1-score': 0.9021221273473238, 'support': 29334.0}  | {'precision': 0.9266939763613048, 'recall': 0.9265357605508966, 'f1-score': 0.9259542464879668, 'support': 29334.0} |
-| 0.0054        | 24.0  | 1944 | 0.5436          | {'precision': 0.8559102674719585, 'recall': 0.8755516328331863, 'f1-score': 0.8656195462478184, 'support': 1133.0} | {'precision': 0.9425299715069082, 'recall': 0.9563082965144821, 'f1-score': 0.9493691449612822, 'support': 18333.0} | {'precision': 0.9138291205347817, 'recall': 0.8866031617349007, 'f1-score': 0.9000102870075095, 'support': 9868.0} | 0.9297   | {'precision': 0.9040897865045494, 'recall': 0.9061543636941897, 'f1-score': 0.9049996594055368, 'support': 29334.0} | {'precision': 0.9295293537232939, 'recall': 0.9297402331765187, 'f1-score': 0.9295299990681146, 'support': 29334.0} |
-| 0.003         | 25.0  | 2025 | 0.5901          | {'precision': 0.8486897717666948, 'recall': 0.8861429832303619, 'f1-score': 0.8670120898100172, 'support': 1133.0} | {'precision': 0.9339209373515596, 'recall': 0.9651993672612229, 'f1-score': 0.9493025751072961, 'support': 18333.0} | {'precision': 0.9293785310734464, 'recall': 0.8668423186055938, 'f1-score': 0.8970218120805369, 'support': 9868.0} | 0.9291   | {'precision': 0.9039964133972336, 'recall': 0.9060615563657262, 'f1-score': 0.9044454923326167, 'support': 29334.0} | {'precision': 0.9291008863608976, 'recall': 0.9290584304902161, 'f1-score': 0.9285368530990505, 'support': 29334.0} |
-| 0.003         | 26.0  | 2106 | 0.5823          | {'precision': 0.8599487617421008, 'recall': 0.8887908208296558, 'f1-score': 0.8741319444444444, 'support': 1133.0} | {'precision': 0.9412236174191825, 'recall': 0.960835651557301, 'f1-score': 0.9509285251565537, 'support': 18333.0}  | {'precision': 0.9222057578323455, 'recall': 0.8829550060802595, 'f1-score': 0.9021536550010354, 'support': 9868.0} | 0.9319   | {'precision': 0.9077927123312096, 'recall': 0.9108604928224054, 'f1-score': 0.9090713748673446, 'support': 29334.0} | {'precision': 0.931686812009588, 'recall': 0.9318538215040567, 'f1-score': 0.9315543878196246, 'support': 29334.0}  |
-| 0.003         | 27.0  | 2187 | 0.5752          | {'precision': 0.8514767932489451, 'recall': 0.8905560458958517, 'f1-score': 0.8705780845556514, 'support': 1133.0} | {'precision': 0.9362391165852623, 'recall': 0.9619265804832815, 'f1-score': 0.9489090371008098, 'support': 18333.0} | {'precision': 0.9241919896918286, 'recall': 0.8722132144304824, 'f1-score': 0.8974506021583858, 'support': 9868.0} | 0.9290   | {'precision': 0.903969299842012, 'recall': 0.9082319469365384, 'f1-score': 0.9056459079382823, 'support': 29334.0}  | {'precision': 0.9289125753524113, 'recall': 0.9289902502215859, 'f1-score': 0.9285728809255351, 'support': 29334.0} |
-| 0.003         | 28.0  | 2268 | 0.5861          | {'precision': 0.8589965397923875, 'recall': 0.8764342453662842, 'f1-score': 0.8676277850589778, 'support': 1133.0} | {'precision': 0.941451361658699, 'recall': 0.956035564282987, 'f1-score': 0.9486874154262517, 'support': 18333.0}   | {'precision': 0.9131889969668445, 'recall': 0.8847790839075801, 'f1-score': 0.8987595861855989, 'support': 9868.0} | 0.9290   | {'precision': 0.9045456328059771, 'recall': 0.9057496311856171, 'f1-score': 0.9050249288902762, 'support': 29334.0} | {'precision': 0.9287591162113087, 'recall': 0.9289902502215859, 'f1-score': 0.928760764435835, 'support': 29334.0}  |
-| 0.003         | 29.0  | 2349 | 0.6105          | {'precision': 0.8523890784982935, 'recall': 0.881729920564872, 'f1-score': 0.8668112798264641, 'support': 1133.0}  | {'precision': 0.9377168169931153, 'recall': 0.9583810614738449, 'f1-score': 0.9479363366603722, 'support': 18333.0} | {'precision': 0.9173474801061008, 'recall': 0.8761653830563437, 'f1-score': 0.8962836261856633, 'support': 9868.0} | 0.9278   | {'precision': 0.9024844585325033, 'recall': 0.9054254550316868, 'f1-score': 0.9036770808908332, 'support': 29334.0} | {'precision': 0.9275688336251569, 'recall': 0.9277630053862412, 'f1-score': 0.9274269060897973, 'support': 29334.0} |
-| 0.003         | 30.0  | 2430 | 0.6004          | {'precision': 0.8579982891360137, 'recall': 0.8852603706972639, 'f1-score': 0.8714161598609904, 'support': 1133.0} | {'precision': 0.9349632216753982, 'recall': 0.9637266132111493, 'f1-score': 0.9491270480795058, 'support': 18333.0} | {'precision': 0.9265213638325421, 'recall': 0.870186461289015, 'f1-score': 0.8974707357859533, 'support': 9868.0}  | 0.9292   | {'precision': 0.9064942915479847, 'recall': 0.9063911483991428, 'f1-score': 0.9060046479088165, 'support': 29334.0} | {'precision': 0.9291506655371141, 'recall': 0.9292288811617918, 'f1-score': 0.9287482751176065, 'support': 29334.0} |
-| 0.0018        | 31.0  | 2511 | 0.6522          | {'precision': 0.8560477001703578, 'recall': 0.8870255957634599, 'f1-score': 0.8712613784135241, 'support': 1133.0} | {'precision': 0.9333439052753991, 'recall': 0.96312660230186, 'f1-score': 0.9480013959356794, 'support': 18333.0}   | {'precision': 0.9252326336290846, 'recall': 0.8665383056343737, 'f1-score': 0.8949241234955522, 'support': 9868.0} | 0.9277   | {'precision': 0.9048747463582805, 'recall': 0.9055635012332311, 'f1-score': 0.9047289659482519, 'support': 29334.0} | {'precision': 0.9276297636994175, 'recall': 0.9276948251176109, 'f1-score': 0.927182108954982, 'support': 29334.0}  |
-| 0.0018        | 32.0  | 2592 | 0.6375          | {'precision': 0.8494533221194281, 'recall': 0.8914386584289496, 'f1-score': 0.8699397071490095, 'support': 1133.0} | {'precision': 0.9368443474093402, 'recall': 0.9596356297387225, 'f1-score': 0.9481030394481569, 'support': 18333.0} | {'precision': 0.9201366645312834, 'recall': 0.8733279286582895, 'f1-score': 0.896121451596132, 'support': 9868.0}  | 0.9280   | {'precision': 0.9021447780200171, 'recall': 0.9081340722753205, 'f1-score': 0.9047213993977662, 'support': 29334.0} | {'precision': 0.9278484571013653, 'recall': 0.927967546192132, 'f1-score': 0.9275973680627775, 'support': 29334.0}  |
-| 0.0018        | 33.0  | 2673 | 0.6827          | {'precision': 0.851602023608769, 'recall': 0.8914386584289496, 'f1-score': 0.8710651142733937, 'support': 1133.0}  | {'precision': 0.9285340314136126, 'recall': 0.9673812251131839, 'f1-score': 0.9475596398899366, 'support': 18333.0} | {'precision': 0.9329133510167993, 'recall': 0.8553911633563032, 'f1-score': 0.8924719813914147, 'support': 9868.0} | 0.9268   | {'precision': 0.9043498020130603, 'recall': 0.9047370156328123, 'f1-score': 0.9036989118515817, 'support': 29334.0} | {'precision': 0.927035809589155, 'recall': 0.9267743914911025, 'f1-score': 0.926073538042696, 'support': 29334.0}   |
-| 0.0018        | 34.0  | 2754 | 0.6228          | {'precision': 0.8595744680851064, 'recall': 0.8914386584289496, 'f1-score': 0.8752166377816292, 'support': 1133.0} | {'precision': 0.9350964071225372, 'recall': 0.9681994218076693, 'f1-score': 0.9513600428781992, 'support': 18333.0} | {'precision': 0.93461915658712, 'recall': 0.8691730847182814, 'f1-score': 0.9007088474665266, 'support': 9868.0}   | 0.9319   | {'precision': 0.909763343931588, 'recall': 0.9096037216516334, 'f1-score': 0.9090951760421183, 'support': 29334.0}  | {'precision': 0.9320188907520146, 'recall': 0.931922001772687, 'f1-score': 0.9313799353477976, 'support': 29334.0}  |
-| 0.0018        | 35.0  | 2835 | 0.6088          | {'precision': 0.8614200171086399, 'recall': 0.8887908208296558, 'f1-score': 0.8748913987836664, 'support': 1133.0} | {'precision': 0.9379079764368731, 'recall': 0.9639993454426444, 'f1-score': 0.9507746933505488, 'support': 18333.0} | {'precision': 0.9270542801973826, 'recall': 0.8757600324280502, 'f1-score': 0.9006774361646691, 'support': 9868.0} | 0.9314   | {'precision': 0.9087940912476319, 'recall': 0.9095167329001167, 'f1-score': 0.908781176099628, 'support': 29334.0}  | {'precision': 0.9313024970474211, 'recall': 0.9314106497579601, 'f1-score': 0.9309909779808571, 'support': 29334.0} |
-| 0.0018        | 36.0  | 2916 | 0.6024          | {'precision': 0.8583617747440273, 'recall': 0.8879082082965578, 'f1-score': 0.8728850325379609, 'support': 1133.0} | {'precision': 0.9392336059002726, 'recall': 0.9585992472590411, 'f1-score': 0.9488176222870102, 'support': 18333.0} | {'precision': 0.9182097132578563, 'recall': 0.8794081880826915, 'f1-score': 0.8983901858274238, 'support': 9868.0} | 0.9292   | {'precision': 0.9052683646340521, 'recall': 0.9086385478794301, 'f1-score': 0.9066976135507984, 'support': 29334.0} | {'precision': 0.9290375345395514, 'recall': 0.9292288811617918, 'f1-score': 0.9289209301492564, 'support': 29334.0} |
-| 0.0018        | 37.0  | 2997 | 0.6063          | {'precision': 0.8619499568593615, 'recall': 0.881729920564872, 'f1-score': 0.8717277486910995, 'support': 1133.0}  | {'precision': 0.9392710390095522, 'recall': 0.9600720013091147, 'f1-score': 0.9495576176089771, 'support': 18333.0} | {'precision': 0.9199872827469266, 'recall': 0.8797122010539117, 'f1-score': 0.8993990882718607, 'support': 9868.0} | 0.9300   | {'precision': 0.9070694262052802, 'recall': 0.9071713743092995, 'f1-score': 0.9068948181906458, 'support': 29334.0} | {'precision': 0.9297974966056608, 'recall': 0.9300129542510398, 'f1-score': 0.9296781054734817, 'support': 29334.0} |
-| 0.0016        | 38.0  | 3078 | 0.6193          | {'precision': 0.8541315345699831, 'recall': 0.8940864960282436, 'f1-score': 0.873652436394998, 'support': 1133.0}  | {'precision': 0.9372875955819882, 'recall': 0.9627993236240658, 'f1-score': 0.9498721915780978, 'support': 18333.0} | {'precision': 0.9259338772005152, 'recall': 0.8741386299148763, 'f1-score': 0.8992910758965804, 'support': 9868.0} | 0.9303   | {'precision': 0.9057843357841623, 'recall': 0.9103414831890619, 'f1-score': 0.9076052346232254, 'support': 29334.0} | {'precision': 0.9302563584470943, 'recall': 0.9303197654598759, 'f1-score': 0.9299127100151448, 'support': 29334.0} |
-| 0.0016        | 39.0  | 3159 | 0.6373          | {'precision': 0.8519764507989908, 'recall': 0.8940864960282436, 'f1-score': 0.8725236864771748, 'support': 1133.0} | {'precision': 0.9361533167451956, 'recall': 0.9645448099056346, 'f1-score': 0.9501370157433776, 'support': 18333.0} | {'precision': 0.9292350907519447, 'recall': 0.8716051884880421, 'f1-score': 0.8994980129679984, 'support': 9868.0} | 0.9306   | {'precision': 0.9057882860987103, 'recall': 0.9100788314739735, 'f1-score': 0.9073862383961835, 'support': 29334.0} | {'precision': 0.9305747579663571, 'recall': 0.9305583964000819, 'f1-score': 0.9301042353027269, 'support': 29334.0} |
-| 0.0016        | 40.0  | 3240 | 0.6333          | {'precision': 0.8584825234441603, 'recall': 0.8887908208296558, 'f1-score': 0.8733738074588032, 'support': 1133.0} | {'precision': 0.9395264505119454, 'recall': 0.9609992908961981, 'f1-score': 0.9501415666711609, 'support': 18333.0} | {'precision': 0.922414709320863, 'recall': 0.8795095257397649, 'f1-score': 0.9004513150386471, 'support': 9868.0}  | 0.9308   | {'precision': 0.9068078944256562, 'recall': 0.909766545821873, 'f1-score': 0.907988896389537, 'support': 29334.0}   | {'precision': 0.930639785500648, 'recall': 0.9307970273402877, 'f1-score': 0.9304606068873861, 'support': 29334.0}  |
-| 0.0016        | 41.0  | 3321 | 0.6439          | {'precision': 0.8614200171086399, 'recall': 0.8887908208296558, 'f1-score': 0.8748913987836664, 'support': 1133.0} | {'precision': 0.9370962617812136, 'recall': 0.96536300660012, 'f1-score': 0.9510196405061931, 'support': 18333.0}   | {'precision': 0.9296260372885009, 'recall': 0.8741386299148763, 'f1-score': 0.9010288818091607, 'support': 9868.0} | 0.9317   | {'precision': 0.9093807720594516, 'recall': 0.909430819114884, 'f1-score': 0.9089799736996733, 'support': 29334.0}  | {'precision': 0.931660338943956, 'recall': 0.9317174609667962, 'f1-score': 0.9312622905132177, 'support': 29334.0}  |
-| 0.0016        | 42.0  | 3402 | 0.6369          | {'precision': 0.8612068965517241, 'recall': 0.881729920564872, 'f1-score': 0.8713475795900567, 'support': 1133.0}  | {'precision': 0.9372546939641455, 'recall': 0.9638902525500463, 'f1-score': 0.9503858875413451, 'support': 18333.0} | {'precision': 0.9261802575107296, 'recall': 0.8747466558573166, 'f1-score': 0.8997289972899729, 'support': 9868.0} | 0.9307   | {'precision': 0.9082139493421998, 'recall': 0.9067889429907449, 'f1-score': 0.907154154807125, 'support': 29334.0}  | {'precision': 0.9305919581152813, 'recall': 0.9307288470716575, 'f1-score': 0.93029205117708, 'support': 29334.0}   |
-| 0.0016        | 43.0  | 3483 | 0.6516          | {'precision': 0.8535139712108383, 'recall': 0.8896734333627537, 'f1-score': 0.8712186689714779, 'support': 1133.0} | {'precision': 0.9362006788290199, 'recall': 0.9629084165166639, 'f1-score': 0.949366748232004, 'support': 18333.0}  | {'precision': 0.92567494890825, 'recall': 0.872111876773409, 'f1-score': 0.898095486564049, 'support': 9868.0}     | 0.9295   | {'precision': 0.905129866316036, 'recall': 0.9082312422176089, 'f1-score': 0.9062269679225103, 'support': 29334.0}  | {'precision': 0.9294661065719273, 'recall': 0.9295356923706279, 'f1-score': 0.929100620736894, 'support': 29334.0}  |
-| 0.0014        | 44.0  | 3564 | 0.6528          | {'precision': 0.8609442060085837, 'recall': 0.8852603706972639, 'f1-score': 0.8729329852045257, 'support': 1133.0} | {'precision': 0.9381273567369484, 'recall': 0.9635084274259532, 'f1-score': 0.9506485119207794, 'support': 18333.0} | {'precision': 0.9262312633832976, 'recall': 0.8766720713417105, 'f1-score': 0.9007705122865473, 'support': 9868.0} | 0.9313   | {'precision': 0.9084342753762765, 'recall': 0.9084802898216425, 'f1-score': 0.9081173364706174, 'support': 29334.0} | {'precision': 0.931144362294013, 'recall': 0.9312742892206995, 'f1-score': 0.9308677867499838, 'support': 29334.0}  |
-| 0.0014        | 45.0  | 3645 | 0.6566          | {'precision': 0.8540084388185654, 'recall': 0.8932038834951457, 'f1-score': 0.8731665228645384, 'support': 1133.0} | {'precision': 0.9349078036667196, 'recall': 0.9651993672612229, 'f1-score': 0.9498121309715513, 'support': 18333.0} | {'precision': 0.9299501192799826, 'recall': 0.8690717470612079, 'f1-score': 0.8984808800419066, 'support': 9868.0} | 0.9301   | {'precision': 0.9062887872550892, 'recall': 0.9091583326058589, 'f1-score': 0.9071531779593321, 'support': 29334.0} | {'precision': 0.9301153645209747, 'recall': 0.93008113451967, 'f1-score': 0.9295838546315028, 'support': 29334.0}   |
-| 0.0014        | 46.0  | 3726 | 0.6471          | {'precision': 0.8521959459459459, 'recall': 0.8905560458958517, 'f1-score': 0.870953819594303, 'support': 1133.0}  | {'precision': 0.9352380952380952, 'recall': 0.9641629847815415, 'f1-score': 0.9494802997341067, 'support': 18333.0} | {'precision': 0.9281081081081081, 'recall': 0.8699837859748683, 'f1-score': 0.8981064964954492, 'support': 9868.0} | 0.9296   | {'precision': 0.9051807164307165, 'recall': 0.9082342722174205, 'f1-score': 0.9061802052746196, 'support': 29334.0} | {'precision': 0.9296321271414592, 'recall': 0.9296379627735734, 'f1-score': 0.9291650617046028, 'support': 29334.0} |
-| 0.0014        | 47.0  | 3807 | 0.6518          | {'precision': 0.8537616229923922, 'recall': 0.8914386584289496, 'f1-score': 0.8721934369602763, 'support': 1133.0} | {'precision': 0.936179227795138, 'recall': 0.9641629847815415, 'f1-score': 0.9499650669103026, 'support': 18333.0}  | {'precision': 0.9281553398058252, 'recall': 0.8719092014592622, 'f1-score': 0.8991535165639043, 'support': 9868.0} | 0.9303   | {'precision': 0.9060320635311184, 'recall': 0.9091702815565844, 'f1-score': 0.9071040068114944, 'support': 29334.0} | {'precision': 0.9302966726400262, 'recall': 0.9303197654598759, 'f1-score': 0.929868126992404, 'support': 29334.0}  |
-| 0.0014        | 48.0  | 3888 | 0.6532          | {'precision': 0.8524451939291737, 'recall': 0.8923212709620476, 'f1-score': 0.871927554980595, 'support': 1133.0}  | {'precision': 0.9361364117771659, 'recall': 0.9642720776741396, 'f1-score': 0.9499959695837924, 'support': 18333.0} | {'precision': 0.9285405872193437, 'recall': 0.8717065261451156, 'f1-score': 0.8992264269287059, 'support': 9868.0} | 0.9304   | {'precision': 0.9057073976418945, 'recall': 0.9094332915937676, 'f1-score': 0.9070499838310311, 'support': 29334.0} | {'precision': 0.9303486655932715, 'recall': 0.930353855594191, 'f1-score': 0.929901698067265, 'support': 29334.0}   |
-| 0.0014        | 49.0  | 3969 | 0.6541          | {'precision': 0.8511354079058032, 'recall': 0.8932038834951457, 'f1-score': 0.8716623600344531, 'support': 1133.0} | {'precision': 0.9361330297092623, 'recall': 0.9642175312278405, 'f1-score': 0.9499677558039552, 'support': 18333.0} | {'precision': 0.9287410926365796, 'recall': 0.8717065261451156, 'f1-score': 0.8993204391008887, 'support': 9868.0} | 0.9304   | {'precision': 0.9053365100838816, 'recall': 0.9097093136227006, 'f1-score': 0.906983518313099, 'support': 29334.0}  | {'precision': 0.9303634128640809, 'recall': 0.930353855594191, 'f1-score': 0.9299054480848339, 'support': 29334.0}  |
-| 0.0013        | 50.0  | 4050 | 0.6554          | {'precision': 0.8511354079058032, 'recall': 0.8932038834951457, 'f1-score': 0.8716623600344531, 'support': 1133.0} | {'precision': 0.9360508205399682, 'recall': 0.9644902634593356, 'f1-score': 0.9500577599871047, 'support': 18333.0} | {'precision': 0.9292274446245273, 'recall': 0.8715038508309688, 'f1-score': 0.8994404643622863, 'support': 9868.0} | 0.9305   | {'precision': 0.9054712243567663, 'recall': 0.9097326659284835, 'f1-score': 0.907053528127948, 'support': 29334.0}  | {'precision': 0.9304756437468926, 'recall': 0.9304561259971365, 'f1-score': 0.9300020750695325, 'support': 29334.0} |
+| Training Loss | Epoch | Step | Validation Loss | B                                                                                                                  | I                                                                                                                   | O                                                                                                                   | Accuracy | Macro avg                                                                                                           | Weighted avg                                                                                                        |
+|:-------------:|:-----:|:----:|:---------------:|:------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:--------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|
+| No log        | 1.0   | 81   | 0.2229          | {'precision': 0.8189730200174065, 'recall': 0.7988115449915111, 'f1-score': 0.8087666523420713, 'support': 1178.0} | {'precision': 0.9521418826739427, 'recall': 0.9232234509762421, 'f1-score': 0.9374597034171502, 'support': 18899.0} | {'precision': 0.863303347862376, 'recall': 0.9144400785854617, 'f1-score': 0.8881362400419788, 'support': 10180.0}  | 0.9154   | {'precision': 0.8781394168512416, 'recall': 0.8788250248510717, 'f1-score': 0.8781208652670669, 'support': 30257.0} | {'precision': 0.9170673807540184, 'recall': 0.9154245298608586, 'f1-score': 0.9158543469268937, 'support': 30257.0} |
+| No log        | 2.0   | 162  | 0.1669          | {'precision': 0.7585499316005472, 'recall': 0.9414261460101867, 'f1-score': 0.8401515151515152, 'support': 1178.0} | {'precision': 0.9510219016256338, 'recall': 0.9626964389650247, 'f1-score': 0.9568235603470944, 'support': 18899.0} | {'precision': 0.9430877483443708, 'recall': 0.8952848722986247, 'f1-score': 0.9185648054827655, 'support': 10180.0} | 0.9392   | {'precision': 0.8842198605235172, 'recall': 0.9331358190912787, 'f1-score': 0.905179960327125, 'support': 30257.0}  | {'precision': 0.9408589092241132, 'recall': 0.9391876260038999, 'f1-score': 0.9394089523635119, 'support': 30257.0} |
+| No log        | 3.0   | 243  | 0.1742          | {'precision': 0.8294025157232704, 'recall': 0.8955857385398981, 'f1-score': 0.8612244897959184, 'support': 1178.0} | {'precision': 0.9584654236741712, 'recall': 0.9438594634636753, 'f1-score': 0.951106371634231, 'support': 18899.0}  | {'precision': 0.9021592442645074, 'recall': 0.9193516699410609, 'f1-score': 0.9106743212999903, 'support': 10180.0} | 0.9337   | {'precision': 0.8966757278873163, 'recall': 0.9195989573148781, 'f1-score': 0.9076683942433799, 'support': 30257.0} | {'precision': 0.9344963252190521, 'recall': 0.9337343424662061, 'f1-score': 0.9340035812317422, 'support': 30257.0} |
+| No log        | 4.0   | 324  | 0.1879          | {'precision': 0.8254931714719271, 'recall': 0.9235993208828522, 'f1-score': 0.8717948717948719, 'support': 1178.0} | {'precision': 0.9374586871408959, 'recall': 0.9755542621302714, 'f1-score': 0.9561271586371415, 'support': 18899.0} | {'precision': 0.956427955133736, 'recall': 0.8711198428290766, 'f1-score': 0.9117828500925355, 'support': 10180.0}  | 0.9384   | {'precision': 0.9064599379155197, 'recall': 0.9234244752807333, 'f1-score': 0.9132349601748496, 'support': 30257.0} | {'precision': 0.9394817486046585, 'recall': 0.9383944211256899, 'f1-score': 0.9379241479327001, 'support': 30257.0} |
+| No log        | 5.0   | 405  | 0.1999          | {'precision': 0.8320552147239264, 'recall': 0.9210526315789473, 'f1-score': 0.8742949234488315, 'support': 1178.0} | {'precision': 0.9521148825065274, 'recall': 0.9647600402137679, 'f1-score': 0.9583957528450158, 'support': 18899.0} | {'precision': 0.9375701315923697, 'recall': 0.9028487229862475, 'f1-score': 0.9198818996146724, 'support': 10180.0} | 0.9422   | {'precision': 0.9072467429409411, 'recall': 0.9295537982596542, 'f1-score': 0.9175241919695066, 'support': 30257.0} | {'precision': 0.9425469857238316, 'recall': 0.9422282447037049, 'f1-score': 0.9421634164298524, 'support': 30257.0} |
+| No log        | 6.0   | 486  | 0.2062          | {'precision': 0.8564554931836408, 'recall': 0.9066213921901528, 'f1-score': 0.8808247422680412, 'support': 1178.0} | {'precision': 0.9446361435855178, 'recall': 0.9705275411397428, 'f1-score': 0.957406827435014, 'support': 18899.0}  | {'precision': 0.9443344105076619, 'recall': 0.8898821218074656, 'f1-score': 0.9163000050574014, 'support': 10180.0} | 0.9409   | {'precision': 0.9151420157589403, 'recall': 0.922343685045787, 'f1-score': 0.9181771915868189, 'support': 30257.0}  | {'precision': 0.941101475610967, 'recall': 0.9409062365733549, 'f1-score': 0.9405948120953971, 'support': 30257.0}  |
+| 0.1662        | 7.0   | 567  | 0.2293          | {'precision': 0.8712871287128713, 'recall': 0.8964346349745331, 'f1-score': 0.8836820083682009, 'support': 1178.0} | {'precision': 0.9609854091774159, 'recall': 0.9618498333245146, 'f1-score': 0.9614174269469787, 'support': 18899.0} | {'precision': 0.9295093296475466, 'recall': 0.924852652259332, 'f1-score': 0.9271751440248166, 'support': 10180.0}  | 0.9469   | {'precision': 0.9205939558459445, 'recall': 0.9277123735194599, 'f1-score': 0.9240915264466655, 'support': 30257.0} | {'precision': 0.9469030129054358, 'recall': 0.9468552731599299, 'f1-score': 0.9468700903559945, 'support': 30257.0} |
+| 0.1662        | 8.0   | 648  | 0.2297          | {'precision': 0.8563402889245586, 'recall': 0.9057724957555179, 'f1-score': 0.8803630363036303, 'support': 1178.0} | {'precision': 0.9550928116947994, 'recall': 0.9610561405365363, 'f1-score': 0.9580651967507121, 'support': 18899.0} | {'precision': 0.9294576746047628, 'recall': 0.912475442043222, 'f1-score': 0.9208882720333101, 'support': 10180.0}  | 0.9426   | {'precision': 0.9136302584080402, 'recall': 0.9264346927784253, 'f1-score': 0.9197721683625509, 'support': 30257.0} | {'precision': 0.942623096673485, 'recall': 0.9425587467362925, 'f1-score': 0.9425317916335554, 'support': 30257.0}  |
+| 0.1662        | 9.0   | 729  | 0.2440          | {'precision': 0.8711256117455138, 'recall': 0.9066213921901528, 'f1-score': 0.8885191347753745, 'support': 1178.0} | {'precision': 0.9574445783763954, 'recall': 0.9666649029049156, 'f1-score': 0.9620326487625066, 'support': 18899.0} | {'precision': 0.9382914572864322, 'recall': 0.9170923379174852, 'f1-score': 0.9275707898658718, 'support': 10180.0} | 0.9476   | {'precision': 0.9222872158027805, 'recall': 0.9301262110041845, 'f1-score': 0.9260408578012509, 'support': 30257.0} | {'precision': 0.9476398219436029, 'recall': 0.9476484780381399, 'f1-score': 0.94757580760031, 'support': 30257.0}   |
+| 0.1662        | 10.0  | 810  | 0.2947          | {'precision': 0.8357748650732459, 'recall': 0.9202037351443124, 'f1-score': 0.875959595959596, 'support': 1178.0}  | {'precision': 0.9424749163879599, 'recall': 0.9692047198264458, 'f1-score': 0.955652945166171, 'support': 18899.0}  | {'precision': 0.9441469816272966, 'recall': 0.8833988212180747, 'f1-score': 0.9127632580563309, 'support': 10180.0} | 0.9384   | {'precision': 0.9074655876961675, 'recall': 0.9242690920629443, 'f1-score': 0.9147919330606994, 'support': 30257.0} | {'precision': 0.9388833165494999, 'recall': 0.9384274713289487, 'f1-score': 0.9381199518045186, 'support': 30257.0} |
+| 0.1662        | 11.0  | 891  | 0.3094          | {'precision': 0.8509615384615384, 'recall': 0.9015280135823429, 'f1-score': 0.875515251442704, 'support': 1178.0}  | {'precision': 0.9547582723972855, 'recall': 0.96031536060109, 'f1-score': 0.9575287538250502, 'support': 18899.0}   | {'precision': 0.9278, 'recall': 0.9113948919449901, 'f1-score': 0.9195242814667988, 'support': 10180.0}             | 0.9416   | {'precision': 0.9111732702862746, 'recall': 0.9244127553761411, 'f1-score': 0.9175227622448511, 'support': 30257.0} | {'precision': 0.9416470001105195, 'recall': 0.9415672406385299, 'f1-score': 0.9415490653426031, 'support': 30257.0} |
+| 0.1662        | 12.0  | 972  | 0.2861          | {'precision': 0.8590982286634461, 'recall': 0.9057724957555179, 'f1-score': 0.8818181818181817, 'support': 1178.0} | {'precision': 0.9457436856875585, 'recall': 0.9629080903751521, 'f1-score': 0.9542487087386278, 'support': 18899.0} | {'precision': 0.9297042873222142, 'recall': 0.8925343811394892, 'f1-score': 0.910740239562973, 'support': 10180.0}  | 0.9370   | {'precision': 0.9115154005577396, 'recall': 0.9204049890900531, 'f1-score': 0.9156023767065942, 'support': 30257.0} | {'precision': 0.9369738332985704, 'recall': 0.9370063125888224, 'f1-score': 0.9367902899621314, 'support': 30257.0} |
+| 0.0233        | 13.0  | 1053 | 0.3311          | {'precision': 0.8622898318654924, 'recall': 0.9142614601018676, 'f1-score': 0.8875154511742892, 'support': 1178.0} | {'precision': 0.9497877627083549, 'recall': 0.9708450182549341, 'f1-score': 0.9602009576889865, 'support': 18899.0} | {'precision': 0.9463364293085655, 'recall': 0.9007858546168959, 'f1-score': 0.9229994967287367, 'support': 10180.0} | 0.9451   | {'precision': 0.9194713412941375, 'recall': 0.9286307776578991, 'f1-score': 0.9235719685306708, 'support': 30257.0} | {'precision': 0.9452199887538072, 'recall': 0.9450705621839575, 'f1-score': 0.9448546114137558, 'support': 30257.0} |
+| 0.0233        | 14.0  | 1134 | 0.3267          | {'precision': 0.8516439454691259, 'recall': 0.9015280135823429, 'f1-score': 0.8758762886597938, 'support': 1178.0} | {'precision': 0.9569456155143339, 'recall': 0.9608444891264089, 'f1-score': 0.9588910891089109, 'support': 18899.0} | {'precision': 0.9290412597169623, 'recall': 0.9157170923379175, 'f1-score': 0.9223310576827941, 'support': 10180.0} | 0.9434   | {'precision': 0.9125436069001407, 'recall': 0.9260298650155564, 'f1-score': 0.9190328118171663, 'support': 30257.0} | {'precision': 0.943457440568685, 'recall': 0.9433519516145025, 'f1-score': 0.9433584006451857, 'support': 30257.0}  |
+| 0.0233        | 15.0  | 1215 | 0.4276          | {'precision': 0.8463925523661753, 'recall': 0.9261460101867572, 'f1-score': 0.8844750709363599, 'support': 1178.0} | {'precision': 0.9367500508440105, 'recall': 0.974866395047357, 'f1-score': 0.9554282158321882, 'support': 18899.0}  | {'precision': 0.9536559139784946, 'recall': 0.8712180746561886, 'f1-score': 0.9105749486652978, 'support': 10180.0} | 0.9381   | {'precision': 0.9122661723962269, 'recall': 0.924076826630101, 'f1-score': 0.9168260784779486, 'support': 30257.0}  | {'precision': 0.9389201454833387, 'recall': 0.9380969692963612, 'f1-score': 0.9375748574540862, 'support': 30257.0} |
+| 0.0233        | 16.0  | 1296 | 0.3448          | {'precision': 0.8752079866888519, 'recall': 0.8930390492359932, 'f1-score': 0.8840336134453782, 'support': 1178.0} | {'precision': 0.9629688917346994, 'recall': 0.9549182496428382, 'f1-score': 0.9589266737513285, 'support': 18899.0} | {'precision': 0.9174907892185379, 'recall': 0.9295677799607073, 'f1-score': 0.923489801893237, 'support': 10180.0}  | 0.9440   | {'precision': 0.9185558892140296, 'recall': 0.9258416929465129, 'f1-score': 0.9221500296966479, 'support': 30257.0} | {'precision': 0.9442509279657028, 'recall': 0.9439799054764186, 'f1-score': 0.9440880783665984, 'support': 30257.0} |
+| 0.0233        | 17.0  | 1377 | 0.3998          | {'precision': 0.8586601307189542, 'recall': 0.8921901528013583, 'f1-score': 0.8751040799333889, 'support': 1178.0} | {'precision': 0.954598493688342, 'recall': 0.9523255198687761, 'f1-score': 0.9534606521336053, 'support': 18899.0}  | {'precision': 0.9118773946360154, 'recall': 0.9117878192534381, 'f1-score': 0.9118326047448303, 'support': 10180.0} | 0.9363   | {'precision': 0.9083786730144373, 'recall': 0.9187678306411908, 'f1-score': 0.9134657789372748, 'support': 30257.0} | {'precision': 0.936489752572877, 'recall': 0.9363453085236474, 'f1-score': 0.9364041837306049, 'support': 30257.0}  |
+| 0.0233        | 18.0  | 1458 | 0.3564          | {'precision': 0.8624898291293734, 'recall': 0.8998302207130731, 'f1-score': 0.8807644370585792, 'support': 1178.0} | {'precision': 0.9545669415410474, 'recall': 0.961638181914387, 'f1-score': 0.958089514470979, 'support': 18899.0}   | {'precision': 0.9294223646010612, 'recall': 0.9119842829076621, 'f1-score': 0.9206207546234321, 'support': 10180.0} | 0.9425   | {'precision': 0.915493045090494, 'recall': 0.9244842285117074, 'f1-score': 0.9198249020509968, 'support': 30257.0}  | {'precision': 0.9425221706890129, 'recall': 0.9425256965330336, 'f1-score': 0.9424726021386316, 'support': 30257.0} |
+| 0.0067        | 19.0  | 1539 | 0.4198          | {'precision': 0.8400936037441498, 'recall': 0.9142614601018676, 'f1-score': 0.8756097560975611, 'support': 1178.0} | {'precision': 0.9492258770786633, 'recall': 0.9634901317530028, 'f1-score': 0.9563048159235334, 'support': 18899.0} | {'precision': 0.9343341503267973, 'recall': 0.8987229862475442, 'f1-score': 0.9161826557180053, 'support': 10180.0} | 0.9398   | {'precision': 0.9078845437165368, 'recall': 0.9254915260341382, 'f1-score': 0.9160324092463666, 'support': 30257.0} | {'precision': 0.9399666776761432, 'recall': 0.9397825296625574, 'f1-score': 0.9396639602085823, 'support': 30257.0} |
+| 0.0067        | 20.0  | 1620 | 0.4047          | {'precision': 0.8653690186536902, 'recall': 0.9057724957555179, 'f1-score': 0.8851099128992119, 'support': 1178.0} | {'precision': 0.9427633603446507, 'recall': 0.972644055241018, 'f1-score': 0.9574706357267495, 'support': 18899.0}  | {'precision': 0.9470921688011757, 'recall': 0.8862475442043222, 'f1-score': 0.9156602050137015, 'support': 10180.0} | 0.9410   | {'precision': 0.9184081825998388, 'recall': 0.921554698400286, 'f1-score': 0.9194135845465543, 'support': 30257.0}  | {'precision': 0.9412065878812694, 'recall': 0.9409723369798725, 'f1-score': 0.9405862414989786, 'support': 30257.0} |
+| 0.0067        | 21.0  | 1701 | 0.3955          | {'precision': 0.8605577689243028, 'recall': 0.9168081494057725, 'f1-score': 0.8877928483353884, 'support': 1178.0} | {'precision': 0.9505640172584082, 'recall': 0.9675644213979576, 'f1-score': 0.9589888818963709, 'support': 18899.0} | {'precision': 0.9401945724526369, 'recall': 0.9018664047151277, 'f1-score': 0.9206317372775131, 'support': 10180.0} | 0.9435   | {'precision': 0.9171054528784492, 'recall': 0.9287463251729525, 'f1-score': 0.9224711558364241, 'support': 30257.0} | {'precision': 0.9435709806500092, 'recall': 0.9434841524275375, 'f1-score': 0.9433116944767718, 'support': 30257.0} |
+| 0.0067        | 22.0  | 1782 | 0.4533          | {'precision': 0.8592115848753017, 'recall': 0.9066213921901528, 'f1-score': 0.882280049566295, 'support': 1178.0}  | {'precision': 0.9404493229380386, 'recall': 0.9701571511720197, 'f1-score': 0.955072275035812, 'support': 18899.0}  | {'precision': 0.9423198150872032, 'recall': 0.881041257367387, 'f1-score': 0.9106508274951772, 'support': 10180.0}  | 0.9377   | {'precision': 0.9139935743001812, 'recall': 0.9192732669098532, 'f1-score': 0.9160010506990948, 'support': 30257.0} | {'precision': 0.9379158118378169, 'recall': 0.9377003668572562, 'f1-score': 0.9372926016522395, 'support': 30257.0} |
+| 0.0067        | 23.0  | 1863 | 0.4375          | {'precision': 0.8553459119496856, 'recall': 0.9235993208828522, 'f1-score': 0.8881632653061224, 'support': 1178.0} | {'precision': 0.947898378601673, 'recall': 0.9713212339277211, 'f1-score': 0.9594668757350059, 'support': 18899.0}  | {'precision': 0.9480195446512112, 'recall': 0.8957760314341847, 'f1-score': 0.9211576342239507, 'support': 10180.0} | 0.9440   | {'precision': 0.9170879450675233, 'recall': 0.9302321954149194, 'f1-score': 0.9229292584216929, 'support': 30257.0} | {'precision': 0.9443357869590202, 'recall': 0.9440460058829362, 'f1-score': 0.9438016170620454, 'support': 30257.0} |
+| 0.0067        | 24.0  | 1944 | 0.4327          | {'precision': 0.857484076433121, 'recall': 0.9142614601018676, 'f1-score': 0.8849630238290879, 'support': 1178.0}  | {'precision': 0.9468112441543759, 'recall': 0.974866395047357, 'f1-score': 0.960634026800146, 'support': 18899.0}   | {'precision': 0.9535736742821211, 'recall': 0.8938113948919449, 'f1-score': 0.9227258898691816, 'support': 10180.0} | 0.9452   | {'precision': 0.9192896649565393, 'recall': 0.9276464166803898, 'f1-score': 0.9227743134994718, 'support': 30257.0} | {'precision': 0.9456086839245054, 'recall': 0.9452358132002512, 'f1-score': 0.9449336838891791, 'support': 30257.0} |
+| 0.0035        | 25.0  | 2025 | 0.4138          | {'precision': 0.8708367181153533, 'recall': 0.9100169779286927, 'f1-score': 0.8899958488999585, 'support': 1178.0} | {'precision': 0.9488636363636364, 'recall': 0.9720091010106355, 'f1-score': 0.9602969235996759, 'support': 18899.0} | {'precision': 0.946927374301676, 'recall': 0.8991159135559922, 'f1-score': 0.92240249924418, 'support': 10180.0}    | 0.9451   | {'precision': 0.9222092429268886, 'recall': 0.9270473308317735, 'f1-score': 0.9242317572479383, 'support': 30257.0} | {'precision': 0.9451743460345479, 'recall': 0.9450705621839575, 'f1-score': 0.9448102624655512, 'support': 30257.0} |
+| 0.0035        | 26.0  | 2106 | 0.3777          | {'precision': 0.863013698630137, 'recall': 0.9091680814940577, 'f1-score': 0.885489871847871, 'support': 1178.0}   | {'precision': 0.9566149181955987, 'recall': 0.9683581141859358, 'f1-score': 0.9624506968183014, 'support': 18899.0} | {'precision': 0.9417298937784522, 'recall': 0.9144400785854617, 'f1-score': 0.9278843757787192, 'support': 10180.0} | 0.9479   | {'precision': 0.9204528368680626, 'recall': 0.9306554247551517, 'f1-score': 0.9252749814816305, 'support': 30257.0} | {'precision': 0.9479626464827831, 'recall': 0.9479128796642099, 'f1-score': 0.9478244946172202, 'support': 30257.0} |
+| 0.0035        | 27.0  | 2187 | 0.4414          | {'precision': 0.8652138821630347, 'recall': 0.9100169779286927, 'f1-score': 0.8870500620604055, 'support': 1178.0} | {'precision': 0.949971456743993, 'recall': 0.9685697655960633, 'f1-score': 0.9591804653112554, 'support': 18899.0}  | {'precision': 0.940917017129962, 'recall': 0.9010805500982318, 'f1-score': 0.9205680164584273, 'support': 10180.0}  | 0.9436   | {'precision': 0.9187007853456634, 'recall': 0.926555764540996, 'f1-score': 0.922266181276696, 'support': 30257.0}   | {'precision': 0.9436252023854246, 'recall': 0.9435833030373136, 'f1-score': 0.9433810025637493, 'support': 30257.0} |
+| 0.0035        | 28.0  | 2268 | 0.5109          | {'precision': 0.8656957928802589, 'recall': 0.9083191850594228, 'f1-score': 0.8864954432477217, 'support': 1178.0} | {'precision': 0.9367454600791316, 'recall': 0.9771416477062278, 'f1-score': 0.9565172351280657, 'support': 18899.0} | {'precision': 0.9549801224884495, 'recall': 0.8730844793713163, 'f1-score': 0.912197875506748, 'support': 10180.0}  | 0.9395   | {'precision': 0.9191404584826133, 'recall': 0.9195151040456556, 'f1-score': 0.9184035179608451, 'support': 30257.0} | {'precision': 0.9401143451426405, 'recall': 0.9394520276299699, 'f1-score': 0.9388797710113306, 'support': 30257.0} |
+| 0.0035        | 29.0  | 2349 | 0.4104          | {'precision': 0.8745874587458746, 'recall': 0.8998302207130731, 'f1-score': 0.8870292887029289, 'support': 1178.0} | {'precision': 0.9618437764606266, 'recall': 0.9616910947669188, 'f1-score': 0.9617674295541738, 'support': 18899.0} | {'precision': 0.9295497093309686, 'recall': 0.9267190569744598, 'f1-score': 0.9281322249003886, 'support': 10180.0} | 0.9475   | {'precision': 0.9219936481791565, 'recall': 0.9294134574848173, 'f1-score': 0.9256429810524972, 'support': 30257.0} | {'precision': 0.9475812406623685, 'recall': 0.9475162772251049, 'f1-score': 0.94754103852736, 'support': 30257.0}   |
+| 0.0035        | 30.0  | 2430 | 0.4500          | {'precision': 0.8661800486618005, 'recall': 0.9066213921901528, 'f1-score': 0.885939444214019, 'support': 1178.0}  | {'precision': 0.9514921493189145, 'recall': 0.9683581141859358, 'f1-score': 0.959851047649018, 'support': 18899.0}  | {'precision': 0.9406537282941777, 'recall': 0.9046168958742633, 'f1-score': 0.9222834251377066, 'support': 10180.0} | 0.9445   | {'precision': 0.9194419754249642, 'recall': 0.9265321340834506, 'f1-score': 0.9226913056669145, 'support': 30257.0} | {'precision': 0.9445240830662821, 'recall': 0.9445087087285586, 'f1-score': 0.9443337701260784, 'support': 30257.0} |
+| 0.002         | 31.0  | 2511 | 0.4298          | {'precision': 0.8706754530477759, 'recall': 0.8972835314091681, 'f1-score': 0.8837792642140467, 'support': 1178.0} | {'precision': 0.9568856601389766, 'recall': 0.9617969204719826, 'f1-score': 0.9593350046180235, 'support': 18899.0} | {'precision': 0.9286354135562854, 'recall': 0.9165029469548134, 'f1-score': 0.9225292925297869, 'support': 10180.0} | 0.9440   | {'precision': 0.9187321755810127, 'recall': 0.9251944662786548, 'f1-score': 0.9218811871206191, 'support': 30257.0} | {'precision': 0.9440244004580688, 'recall': 0.9440460058829362, 'f1-score': 0.9440100612576726, 'support': 30257.0} |
+| 0.002         | 32.0  | 2592 | 0.4760          | {'precision': 0.8553259141494436, 'recall': 0.9134125636672326, 'f1-score': 0.8834154351395731, 'support': 1178.0} | {'precision': 0.941746080541039, 'recall': 0.9725911423884862, 'f1-score': 0.956920113491423, 'support': 18899.0}   | {'precision': 0.948423162113701, 'recall': 0.8833005893909627, 'f1-score': 0.9147042368139973, 'support': 10180.0}  | 0.9402   | {'precision': 0.9151650522680613, 'recall': 0.9231014318155605, 'f1-score': 0.9183465951483312, 'support': 30257.0} | {'precision': 0.9406279833866747, 'recall': 0.9402452325081799, 'f1-score': 0.9398547687555049, 'support': 30257.0} |
+| 0.002         | 33.0  | 2673 | 0.4852          | {'precision': 0.8562401263823065, 'recall': 0.9202037351443124, 'f1-score': 0.8870703764320785, 'support': 1178.0} | {'precision': 0.9427120730331316, 'recall': 0.9725911423884862, 'f1-score': 0.9574185483240878, 'support': 18899.0} | {'precision': 0.9490150637311703, 'recall': 0.8849705304518664, 'f1-score': 0.9158745488740914, 'support': 10180.0} | 0.9411   | {'precision': 0.9159890877155362, 'recall': 0.9259218026615551, 'f1-score': 0.9201211578767525, 'support': 30257.0} | {'precision': 0.9414660966359792, 'recall': 0.9410714875896486, 'f1-score': 0.9407021501058325, 'support': 30257.0} |
+| 0.002         | 34.0  | 2754 | 0.4916          | {'precision': 0.8603531300160514, 'recall': 0.9100169779286927, 'f1-score': 0.8844884488448845, 'support': 1178.0} | {'precision': 0.9460114474294848, 'recall': 0.9707391925498704, 'f1-score': 0.9582158153139038, 'support': 18899.0} | {'precision': 0.9448949885631108, 'recall': 0.8927308447937131, 'f1-score': 0.9180725325790483, 'support': 10180.0} | 0.9421   | {'precision': 0.9170865220028824, 'recall': 0.9244956717574254, 'f1-score': 0.9202589322459455, 'support': 30257.0} | {'precision': 0.9423008664342536, 'recall': 0.9421290940939286, 'f1-score': 0.9418391270784101, 'support': 30257.0} |
+| 0.002         | 35.0  | 2835 | 0.4850          | {'precision': 0.8555555555555555, 'recall': 0.9151103565365025, 'f1-score': 0.8843314191960623, 'support': 1178.0} | {'precision': 0.947452971964554, 'recall': 0.9674056828403619, 'f1-score': 0.9573253743847523, 'support': 18899.0}  | {'precision': 0.9396907216494845, 'recall': 0.8953831041257367, 'f1-score': 0.9170020120724346, 'support': 10180.0} | 0.9411   | {'precision': 0.9142330830565314, 'recall': 0.9259663811675337, 'f1-score': 0.9195529352177497, 'support': 30257.0} | {'precision': 0.9412634996197344, 'recall': 0.9411375879961662, 'f1-score': 0.9409166521865281, 'support': 30257.0} |
+| 0.002         | 36.0  | 2916 | 0.4619          | {'precision': 0.859663191659984, 'recall': 0.9100169779286927, 'f1-score': 0.8841237113402063, 'support': 1178.0}  | {'precision': 0.9505897022912662, 'recall': 0.9680935499232763, 'f1-score': 0.9592617836732553, 'support': 18899.0} | {'precision': 0.9405920311379699, 'recall': 0.9020628683693517, 'f1-score': 0.9209246352103494, 'support': 10180.0} | 0.9436   | {'precision': 0.9169483083630734, 'recall': 0.9267244654071071, 'f1-score': 0.9214367100746036, 'support': 30257.0} | {'precision': 0.9436859206253968, 'recall': 0.9436163532405725, 'f1-score': 0.9434378480365194, 'support': 30257.0} |
+| 0.002         | 37.0  | 2997 | 0.4825          | {'precision': 0.8603351955307262, 'recall': 0.9151103565365025, 'f1-score': 0.8868778280542986, 'support': 1178.0} | {'precision': 0.9486211000155224, 'recall': 0.9701042383194878, 'f1-score': 0.9592424004604196, 'support': 18899.0} | {'precision': 0.944507595329131, 'recall': 0.8978388998035364, 'f1-score': 0.9205821624616005, 'support': 10180.0}  | 0.9436   | {'precision': 0.9178212969584599, 'recall': 0.9276844982198421, 'f1-score': 0.9222341303254397, 'support': 30257.0} | {'precision': 0.9437998595359455, 'recall': 0.9436494034438312, 'f1-score': 0.9434177420632756, 'support': 30257.0} |
+| 0.0019        | 38.0  | 3078 | 0.4897          | {'precision': 0.8562351072279587, 'recall': 0.9151103565365025, 'f1-score': 0.8846942962659008, 'support': 1178.0} | {'precision': 0.9502076843198338, 'recall': 0.9683581141859358, 'f1-score': 0.9591970439476926, 'support': 18899.0} | {'precision': 0.9416718011912097, 'recall': 0.9007858546168959, 'f1-score': 0.9207751782307462, 'support': 10180.0} | 0.9436   | {'precision': 0.9160381975796673, 'recall': 0.9280847751131113, 'f1-score': 0.9215555061481132, 'support': 30257.0} | {'precision': 0.9436771298675213, 'recall': 0.9435502528340549, 'f1-score': 0.9433693402834936, 'support': 30257.0} |
+| 0.0019        | 39.0  | 3159 | 0.5184          | {'precision': 0.86, 'recall': 0.9125636672325976, 'f1-score': 0.8855024711696869, 'support': 1178.0}               | {'precision': 0.9445815340324902, 'recall': 0.972220752420763, 'f1-score': 0.9582018721806471, 'support': 18899.0}  | {'precision': 0.9478806907378335, 'recall': 0.8896856581532416, 'f1-score': 0.9178616670889282, 'support': 10180.0} | 0.9421   | {'precision': 0.9174874082567746, 'recall': 0.9248233592688675, 'f1-score': 0.9205220034797542, 'support': 30257.0} | {'precision': 0.9423985141749408, 'recall': 0.9421290940939286, 'f1-score': 0.9417989511301594, 'support': 30257.0} |
+| 0.0019        | 40.0  | 3240 | 0.4894          | {'precision': 0.8642570281124498, 'recall': 0.9134125636672326, 'f1-score': 0.8881551795295088, 'support': 1178.0} | {'precision': 0.9459152603602209, 'recall': 0.9698396740568284, 'f1-score': 0.9577280802591702, 'support': 18899.0} | {'precision': 0.9433316035288013, 'recall': 0.8928290766208251, 'f1-score': 0.9173858188241231, 'support': 10180.0} | 0.9417   | {'precision': 0.9178346306671573, 'recall': 0.925360438114962, 'f1-score': 0.9210896928709341, 'support': 30257.0}  | {'precision': 0.9418667749144818, 'recall': 0.9417324916548236, 'f1-score': 0.9414461918211784, 'support': 30257.0} |
+| 0.0019        | 41.0  | 3321 | 0.4576          | {'precision': 0.8601626016260162, 'recall': 0.8981324278438031, 'f1-score': 0.8787375415282391, 'support': 1178.0} | {'precision': 0.9541640444724145, 'recall': 0.9626964389650247, 'f1-score': 0.9584112518766298, 'support': 18899.0} | {'precision': 0.9302138768952706, 'recall': 0.9100196463654224, 'f1-score': 0.9200059585878146, 'support': 10180.0} | 0.9425   | {'precision': 0.9148468409979005, 'recall': 0.9236161710580834, 'f1-score': 0.9190515839975612, 'support': 30257.0} | {'precision': 0.9424462137023982, 'recall': 0.9424595961265162, 'f1-score': 0.942387802213063, 'support': 30257.0}  |
+| 0.0019        | 42.0  | 3402 | 0.5007          | {'precision': 0.8561151079136691, 'recall': 0.9091680814940577, 'f1-score': 0.8818443804034581, 'support': 1178.0} | {'precision': 0.9438665156040786, 'recall': 0.9697867612042965, 'f1-score': 0.9566510948143122, 'support': 18899.0} | {'precision': 0.9431581143095537, 'recall': 0.8883104125736738, 'f1-score': 0.9149129906920276, 'support': 10180.0} | 0.9400   | {'precision': 0.9143799126091005, 'recall': 0.9224217517573426, 'f1-score': 0.9178028219699327, 'support': 30257.0} | {'precision': 0.9402117354395689, 'recall': 0.9400138810853687, 'f1-score': 0.9396958048139538, 'support': 30257.0} |
+| 0.0019        | 43.0  | 3483 | 0.4988          | {'precision': 0.8589743589743589, 'recall': 0.9100169779286927, 'f1-score': 0.8837592745259686, 'support': 1178.0} | {'precision': 0.9474941573617243, 'recall': 0.9653420815916186, 'f1-score': 0.956334853488494, 'support': 18899.0}  | {'precision': 0.9352060693049006, 'recall': 0.8960707269155206, 'f1-score': 0.9152202267482693, 'support': 10180.0} | 0.9399   | {'precision': 0.9138915285469946, 'recall': 0.923809928811944, 'f1-score': 0.9184381182542439, 'support': 30257.0}  | {'precision': 0.9399134633431903, 'recall': 0.9398816802723337, 'f1-score': 0.9396761982274522, 'support': 30257.0} |
+| 0.0015        | 44.0  | 3564 | 0.4983          | {'precision': 0.8664495114006515, 'recall': 0.9032258064516129, 'f1-score': 0.8844555278470491, 'support': 1178.0} | {'precision': 0.9478495740702265, 'recall': 0.9655537330017461, 'f1-score': 0.9566197478440932, 'support': 18899.0} | {'precision': 0.9347448092461901, 'recall': 0.8977406679764244, 'f1-score': 0.9158691186050008, 'support': 10180.0} | 0.9403   | {'precision': 0.9163479649056893, 'recall': 0.9221734024765945, 'f1-score': 0.918981464765381, 'support': 30257.0}  | {'precision': 0.9402713019436625, 'recall': 0.9403113329146974, 'f1-score': 0.9400995754274466, 'support': 30257.0} |
+| 0.0015        | 45.0  | 3645 | 0.4946          | {'precision': 0.8593247588424437, 'recall': 0.9074702886247877, 'f1-score': 0.8827415359207267, 'support': 1178.0} | {'precision': 0.948733946862164, 'recall': 0.9655008201492142, 'f1-score': 0.9570439525857547, 'support': 18899.0}  | {'precision': 0.935480572597137, 'recall': 0.8987229862475442, 'f1-score': 0.9167334669338677, 'support': 10180.0}  | 0.9408   | {'precision': 0.9145130927672481, 'recall': 0.9238980316738488, 'f1-score': 0.9188396518134497, 'support': 30257.0} | {'precision': 0.9407938545362492, 'recall': 0.9407740357603199, 'f1-score': 0.9405886202405911, 'support': 30257.0} |
+| 0.0015        | 46.0  | 3726 | 0.5014          | {'precision': 0.8573717948717948, 'recall': 0.9083191850594228, 'f1-score': 0.8821104699093157, 'support': 1178.0} | {'precision': 0.9471228615863142, 'recall': 0.9667178157574475, 'f1-score': 0.9568200267092619, 'support': 18899.0} | {'precision': 0.9375450149192304, 'recall': 0.8950884086444008, 'f1-score': 0.9158249158249158, 'support': 10180.0} | 0.9403   | {'precision': 0.9140132237924465, 'recall': 0.9233751364870905, 'f1-score': 0.9182518041478311, 'support': 30257.0} | {'precision': 0.9404060940396103, 'recall': 0.9403443831179562, 'f1-score': 0.94011850022901, 'support': 30257.0}   |
+| 0.0015        | 47.0  | 3807 | 0.4940          | {'precision': 0.8604651162790697, 'recall': 0.9108658743633277, 'f1-score': 0.8849484536082474, 'support': 1178.0} | {'precision': 0.9489430218667221, 'recall': 0.9667178157574475, 'f1-score': 0.9577479555462362, 'support': 18899.0} | {'precision': 0.9377882545864508, 'recall': 0.8988212180746562, 'f1-score': 0.9178913577769977, 'support': 10180.0} | 0.9417   | {'precision': 0.9157321309107475, 'recall': 0.9254683027318104, 'f1-score': 0.9201959223104937, 'support': 30257.0} | {'precision': 0.941745265853389, 'recall': 0.9416994414515649, 'f1-score': 0.9415038474531074, 'support': 30257.0}  |
+| 0.0015        | 48.0  | 3888 | 0.4952          | {'precision': 0.8590872698158527, 'recall': 0.9108658743633277, 'f1-score': 0.8842192006592502, 'support': 1178.0} | {'precision': 0.9496384163154883, 'recall': 0.9658182972644055, 'f1-score': 0.9576600209863589, 'support': 18899.0} | {'precision': 0.9365484826811076, 'recall': 0.9003929273084479, 'f1-score': 0.9181148895677868, 'support': 10180.0} | 0.9417   | {'precision': 0.9150913896041496, 'recall': 0.9256923663120604, 'f1-score': 0.9199980370711319, 'support': 30257.0} | {'precision': 0.9417088537357691, 'recall': 0.9416663912483062, 'f1-score': 0.9414957375416553, 'support': 30257.0} |
+| 0.0015        | 49.0  | 3969 | 0.4962          | {'precision': 0.859663191659984, 'recall': 0.9100169779286927, 'f1-score': 0.8841237113402063, 'support': 1178.0}  | {'precision': 0.9498907274430222, 'recall': 0.9659241229694693, 'f1-score': 0.9578403337093685, 'support': 18899.0} | {'precision': 0.9365808823529411, 'recall': 0.9008840864440079, 'f1-score': 0.9183857400360504, 'support': 10180.0} | 0.9419   | {'precision': 0.9153782671519824, 'recall': 0.9256083957807233, 'f1-score': 0.9201165950285417, 'support': 30257.0} | {'precision': 0.9418997746000621, 'recall': 0.9418646924678586, 'f1-score': 0.9416957739464954, 'support': 30257.0} |
+| 0.0012        | 50.0  | 4050 | 0.4962          | {'precision': 0.859663191659984, 'recall': 0.9100169779286927, 'f1-score': 0.8841237113402063, 'support': 1178.0}  | {'precision': 0.9499895920066611, 'recall': 0.9659241229694693, 'f1-score': 0.9578905942542305, 'support': 18899.0} | {'precision': 0.9365938329589545, 'recall': 0.9010805500982318, 'f1-score': 0.9184940422549316, 'support': 10180.0} | 0.9419   | {'precision': 0.9154155388751999, 'recall': 0.9256738836654645, 'f1-score': 0.9201694492831227, 'support': 30257.0} | {'precision': 0.9419658842129591, 'recall': 0.9419307928743762, 'f1-score': 0.9417636058738365, 'support': 30257.0} |
 
 
 ### Framework versions