End of training

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4687
-- Classification Report: {'0': {'precision': 0.9499083689676237, 'recall': 0.9767587939698492, 'f1-score': 0.9631464849798699, 'support': 1592.0}, '1': {'precision': 0.827906976744186, 'recall': 0.6846153846153846, 'f1-score': 0.7494736842105263, 'support': 260.0}, 'accuracy': 0.9357451403887689, 'macro avg': {'precision': 0.8889076728559049, 'recall': 0.8306870892926169, 'f1-score': 0.8563100845951981, 'support': 1852.0}, 'weighted avg': {'precision': 0.9327807437094736, 'recall': 0.9357451403887689, 'f1-score': 0.9331492235327697, 'support': 1852.0}}
+- Loss: 0.4963
+- Classification Report: {'0': {'precision': 0.9531153608883405, 'recall': 0.9704773869346733, 'f1-score': 0.96171802054155, 'support': 1592.0}, '1': {'precision': 0.7965367965367965, 'recall': 0.7076923076923077, 'f1-score': 0.7494908350305499, 'support': 260.0}, 'accuracy': 0.933585313174946, 'macro avg': {'precision': 0.8748260787125686, 'recall': 0.8390848473134905, 'f1-score': 0.85560442778605, 'support': 1852.0}, 'weighted avg': {'precision': 0.9311334890031345, 'recall': 0.933585313174946, 'f1-score': 0.9319237072408696, 'support': 1852.0}}
 
 ## Model description
 
@@ -39,7 +39,7 @@ The following hyperparameters were used during training:
 - learning_rate: 5e-06
 - train_batch_size: 16
 - eval_batch_size: 16
-- seed: 32
+- seed: 42
 - distributed_type: multi-GPU
 - num_devices: 4
 - total_train_batch_size: 64
@@ -50,58 +50,58 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Classification Report                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    |
-|:-------------:|:-----:|:----:|:---------------:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
-| No log        | 1.0   | 98   | 0.2419          | {'0': {'precision': 0.9059233449477352, 'recall': 0.9798994974874372, 'f1-score': 0.9414604707302353, 'support': 1592.0}, '1': {'precision': 0.7538461538461538, 'recall': 0.3769230769230769, 'f1-score': 0.5025641025641026, 'support': 260.0}, 'accuracy': 0.8952483801295896, 'macro avg': {'precision': 0.8298847493969446, 'recall': 0.678411287205257, 'f1-score': 0.722012286647169, 'support': 1852.0}, 'weighted avg': {'precision': 0.8845734153114441, 'recall': 0.8952483801295896, 'f1-score': 0.8798443499293744, 'support': 1852.0}}     |
-| No log        | 2.0   | 196  | 0.2600          | {'0': {'precision': 0.8985260770975056, 'recall': 0.9956030150753769, 'f1-score': 0.9445768772348033, 'support': 1592.0}, '1': {'precision': 0.9204545454545454, 'recall': 0.31153846153846154, 'f1-score': 0.46551724137931033, 'support': 260.0}, 'accuracy': 0.8995680345572354, 'macro avg': {'precision': 0.9094903112760255, 'recall': 0.6535707383069191, 'f1-score': 0.7050470593070568, 'support': 1852.0}, 'weighted avg': {'precision': 0.9016045877739799, 'recall': 0.8995680345572354, 'f1-score': 0.8773222847280927, 'support': 1852.0}} |
-| No log        | 3.0   | 294  | 0.2403          | {'0': {'precision': 0.968813559322034, 'recall': 0.8976130653266332, 'f1-score': 0.931855233126834, 'support': 1592.0}, '1': {'precision': 0.5676392572944297, 'recall': 0.823076923076923, 'f1-score': 0.6718995290423861, 'support': 260.0}, 'accuracy': 0.8871490280777538, 'macro avg': {'precision': 0.7682264083082317, 'recall': 0.8603449942017781, 'f1-score': 0.80187738108461, 'support': 1852.0}, 'weighted avg': {'precision': 0.9124931929466683, 'recall': 0.8871490280777538, 'f1-score': 0.8953603718622787, 'support': 1852.0}}        |
-| No log        | 4.0   | 392  | 0.2540          | {'0': {'precision': 0.91874637260592, 'recall': 0.9943467336683417, 'f1-score': 0.955052790346908, 'support': 1592.0}, '1': {'precision': 0.9302325581395349, 'recall': 0.46153846153846156, 'f1-score': 0.6169665809768637, 'support': 260.0}, 'accuracy': 0.9195464362850972, 'macro avg': {'precision': 0.9244894653727274, 'recall': 0.7279425976034016, 'f1-score': 0.7860096856618859, 'support': 1852.0}, 'weighted avg': {'precision': 0.9203589040523238, 'recall': 0.9195464362850972, 'f1-score': 0.907589283631891, 'support': 1852.0}}      |
-| No log        | 5.0   | 490  | 0.1908          | {'0': {'precision': 0.9294947121034077, 'recall': 0.9937185929648241, 'f1-score': 0.9605343047965998, 'support': 1592.0}, '1': {'precision': 0.9333333333333333, 'recall': 0.5384615384615384, 'f1-score': 0.6829268292682927, 'support': 260.0}, 'accuracy': 0.9298056155507559, 'macro avg': {'precision': 0.9314140227183705, 'recall': 0.7660900657131813, 'f1-score': 0.8217305670324463, 'support': 1852.0}, 'weighted avg': {'precision': 0.9300336114121447, 'recall': 0.9298056155507559, 'f1-score': 0.9215613330701636, 'support': 1852.0}}   |
-| 0.2079        | 6.0   | 588  | 0.2416          | {'0': {'precision': 0.928697701826753, 'recall': 0.9899497487437185, 'f1-score': 0.9583460018242627, 'support': 1592.0}, '1': {'precision': 0.896774193548387, 'recall': 0.5346153846153846, 'f1-score': 0.6698795180722892, 'support': 260.0}, 'accuracy': 0.9260259179265659, 'macro avg': {'precision': 0.91273594768757, 'recall': 0.7622825666795516, 'f1-score': 0.8141127599482759, 'support': 1852.0}, 'weighted avg': {'precision': 0.9242159998006326, 'recall': 0.9260259179265659, 'f1-score': 0.9178485473018474, 'support': 1852.0}}       |
-| 0.2079        | 7.0   | 686  | 0.2724          | {'0': {'precision': 0.9342027267338471, 'recall': 0.9899497487437185, 'f1-score': 0.9612686794754498, 'support': 1592.0}, '1': {'precision': 0.9030303030303031, 'recall': 0.573076923076923, 'f1-score': 0.7011764705882353, 'support': 260.0}, 'accuracy': 0.9314254859611231, 'macro avg': {'precision': 0.9186165148820751, 'recall': 0.7815133359103208, 'f1-score': 0.8312225750318425, 'support': 1852.0}, 'weighted avg': {'precision': 0.9298264685465244, 'recall': 0.9314254859611231, 'f1-score': 0.9247546544696854, 'support': 1852.0}}    |
-| 0.2079        | 8.0   | 784  | 0.3374          | {'0': {'precision': 0.9718120805369127, 'recall': 0.9095477386934674, 'f1-score': 0.9396495781959766, 'support': 1592.0}, '1': {'precision': 0.6022099447513812, 'recall': 0.8384615384615385, 'f1-score': 0.7009646302250804, 'support': 260.0}, 'accuracy': 0.8995680345572354, 'macro avg': {'precision': 0.787011012644147, 'recall': 0.8740046385775029, 'f1-score': 0.8203071042105285, 'support': 1852.0}, 'weighted avg': {'precision': 0.9199240917117302, 'recall': 0.8995680345572354, 'f1-score': 0.9061408921957428, 'support': 1852.0}}    |
-| 0.2079        | 9.0   | 882  | 0.3082          | {'0': {'precision': 0.953125, 'recall': 0.9579145728643216, 'f1-score': 0.9555137844611529, 'support': 1592.0}, '1': {'precision': 0.7341269841269841, 'recall': 0.7115384615384616, 'f1-score': 0.72265625, 'support': 260.0}, 'accuracy': 0.9233261339092873, 'macro avg': {'precision': 0.8436259920634921, 'recall': 0.8347265172013916, 'f1-score': 0.8390850172305764, 'support': 1852.0}, 'weighted avg': {'precision': 0.9223801381603758, 'recall': 0.9233261339092873, 'f1-score': 0.9228232018694144, 'support': 1852.0}}                     |
-| 0.2079        | 10.0  | 980  | 0.3587          | {'0': {'precision': 0.9505867819641755, 'recall': 0.9667085427135679, 'f1-score': 0.9585798816568047, 'support': 1592.0}, '1': {'precision': 0.7725321888412017, 'recall': 0.6923076923076923, 'f1-score': 0.7302231237322515, 'support': 260.0}, 'accuracy': 0.9281857451403888, 'macro avg': {'precision': 0.8615594854026886, 'recall': 0.82950811751063, 'f1-score': 0.8444015026945282, 'support': 1852.0}, 'weighted avg': {'precision': 0.92558991683892, 'recall': 0.9281857451403888, 'f1-score': 0.9265211575421266, 'support': 1852.0}}       |
-| 0.0384        | 11.0  | 1078 | 0.4151          | {'0': {'precision': 0.9414957780458384, 'recall': 0.9805276381909548, 'f1-score': 0.9606153846153846, 'support': 1592.0}, '1': {'precision': 0.8402061855670103, 'recall': 0.6269230769230769, 'f1-score': 0.7180616740088106, 'support': 260.0}, 'accuracy': 0.9308855291576674, 'macro avg': {'precision': 0.8908509818064243, 'recall': 0.8037253575570158, 'f1-score': 0.8393385293120976, 'support': 1852.0}, 'weighted avg': {'precision': 0.9272758568555062, 'recall': 0.9308855291576674, 'f1-score': 0.9265635677915676, 'support': 1852.0}}   |
-| 0.0384        | 12.0  | 1176 | 0.3982          | {'0': {'precision': 0.9519704433497537, 'recall': 0.9711055276381909, 'f1-score': 0.9614427860696517, 'support': 1592.0}, '1': {'precision': 0.7982456140350878, 'recall': 0.7, 'f1-score': 0.7459016393442623, 'support': 260.0}, 'accuracy': 0.9330453563714903, 'macro avg': {'precision': 0.8751080286924207, 'recall': 0.8355527638190954, 'f1-score': 0.853672212706957, 'support': 1852.0}, 'weighted avg': {'precision': 0.9303892038131375, 'recall': 0.9330453563714903, 'f1-score': 0.931183229833906, 'support': 1852.0}}                    |
-| 0.0384        | 13.0  | 1274 | 0.4471          | {'0': {'precision': 0.9434756464221287, 'recall': 0.9855527638190955, 'f1-score': 0.9640552995391705, 'support': 1592.0}, '1': {'precision': 0.8783068783068783, 'recall': 0.6384615384615384, 'f1-score': 0.7394209354120267, 'support': 260.0}, 'accuracy': 0.9368250539956804, 'macro avg': {'precision': 0.9108912623645035, 'recall': 0.812007151140317, 'f1-score': 0.8517381174755986, 'support': 1852.0}, 'weighted avg': {'precision': 0.9343266832957976, 'recall': 0.9368250539956804, 'f1-score': 0.9325191577070661, 'support': 1852.0}}    |
-| 0.0384        | 14.0  | 1372 | 0.4715          | {'0': {'precision': 0.9402173913043478, 'recall': 0.9780150753768844, 'f1-score': 0.958743842364532, 'support': 1592.0}, '1': {'precision': 0.8214285714285714, 'recall': 0.6192307692307693, 'f1-score': 0.706140350877193, 'support': 260.0}, 'accuracy': 0.927645788336933, 'macro avg': {'precision': 0.8808229813664596, 'recall': 0.7986229223038268, 'f1-score': 0.8324420966208625, 'support': 1852.0}, 'weighted avg': {'precision': 0.9235407751230834, 'recall': 0.927645788336933, 'f1-score': 0.9232811491751647, 'support': 1852.0}}       |
-| 0.0384        | 15.0  | 1470 | 0.4425          | {'0': {'precision': 0.9442761962447002, 'recall': 0.9792713567839196, 'f1-score': 0.9614554424915202, 'support': 1592.0}, '1': {'precision': 0.835820895522388, 'recall': 0.6461538461538462, 'f1-score': 0.7288503253796096, 'support': 260.0}, 'accuracy': 0.9325053995680346, 'macro avg': {'precision': 0.8900485458835441, 'recall': 0.8127126014688829, 'f1-score': 0.8451528839355649, 'support': 1852.0}, 'weighted avg': {'precision': 0.9290502900957794, 'recall': 0.9325053995680346, 'f1-score': 0.9288002964606904, 'support': 1852.0}}    |
-| 0.0036        | 16.0  | 1568 | 0.4174          | {'0': {'precision': 0.9501845018450185, 'recall': 0.9704773869346733, 'f1-score': 0.9602237414543194, 'support': 1592.0}, '1': {'precision': 0.7920353982300885, 'recall': 0.6884615384615385, 'f1-score': 0.7366255144032922, 'support': 260.0}, 'accuracy': 0.9308855291576674, 'macro avg': {'precision': 0.8711099500375534, 'recall': 0.8294694626981058, 'f1-score': 0.8484246279288058, 'support': 1852.0}, 'weighted avg': {'precision': 0.9279821438861189, 'recall': 0.9308855291576674, 'f1-score': 0.9288330616307411, 'support': 1852.0}}   |
-| 0.0036        | 17.0  | 1666 | 0.4366          | {'0': {'precision': 0.9503067484662576, 'recall': 0.9729899497487438, 'f1-score': 0.9615145872129113, 'support': 1592.0}, '1': {'precision': 0.8063063063063063, 'recall': 0.6884615384615385, 'f1-score': 0.7427385892116183, 'support': 260.0}, 'accuracy': 0.9330453563714903, 'macro avg': {'precision': 0.878306527386282, 'recall': 0.8307257441051411, 'f1-score': 0.8521265882122648, 'support': 1852.0}, 'weighted avg': {'precision': 0.9300907036705841, 'recall': 0.9330453563714903, 'f1-score': 0.9308008941889717, 'support': 1852.0}}    |
-| 0.0036        | 18.0  | 1764 | 0.4639          | {'0': {'precision': 0.944140862173649, 'recall': 0.9767587939698492, 'f1-score': 0.9601728928681692, 'support': 1592.0}, '1': {'precision': 0.8195121951219512, 'recall': 0.6461538461538462, 'f1-score': 0.7225806451612903, 'support': 260.0}, 'accuracy': 0.9303455723542117, 'macro avg': {'precision': 0.8818265286478001, 'recall': 0.8114563200618476, 'f1-score': 0.8413767690147298, 'support': 1852.0}, 'weighted avg': {'precision': 0.9266443970368016, 'recall': 0.9303455723542117, 'f1-score': 0.9268176097127757, 'support': 1852.0}}    |
-| 0.0036        | 19.0  | 1862 | 0.4535          | {'0': {'precision': 0.9465695203400122, 'recall': 0.9792713567839196, 'f1-score': 0.9626427909848718, 'support': 1592.0}, '1': {'precision': 0.8390243902439024, 'recall': 0.6615384615384615, 'f1-score': 0.7397849462365591, 'support': 260.0}, 'accuracy': 0.9346652267818575, 'macro avg': {'precision': 0.8927969552919572, 'recall': 0.8204049091611906, 'f1-score': 0.8512138686107155, 'support': 1852.0}, 'weighted avg': {'precision': 0.9314713919247916, 'recall': 0.9346652267818575, 'f1-score': 0.9313560525212858, 'support': 1852.0}}   |
-| 0.0036        | 20.0  | 1960 | 0.4700          | {'0': {'precision': 0.9454214675560946, 'recall': 0.9792713567839196, 'f1-score': 0.9620487503856834, 'support': 1592.0}, '1': {'precision': 0.8374384236453202, 'recall': 0.6538461538461539, 'f1-score': 0.734341252699784, 'support': 260.0}, 'accuracy': 0.933585313174946, 'macro avg': {'precision': 0.8914299456007073, 'recall': 0.8165587553150367, 'f1-score': 0.8481950015427338, 'support': 1852.0}, 'weighted avg': {'precision': 0.9302618609595495, 'recall': 0.933585313174946, 'f1-score': 0.9300811751166047, 'support': 1852.0}}      |
-| 0.0013        | 21.0  | 2058 | 0.4619          | {'0': {'precision': 0.9457978075517661, 'recall': 0.9755025125628141, 'f1-score': 0.9604205318491033, 'support': 1592.0}, '1': {'precision': 0.8142857142857143, 'recall': 0.6576923076923077, 'f1-score': 0.7276595744680852, 'support': 260.0}, 'accuracy': 0.9308855291576674, 'macro avg': {'precision': 0.8800417609187402, 'recall': 0.8165974101275608, 'f1-score': 0.8440400531585942, 'support': 1852.0}, 'weighted avg': {'precision': 0.927334986682882, 'recall': 0.9308855291576674, 'f1-score': 0.9277435075947487, 'support': 1852.0}}    |
-| 0.0013        | 22.0  | 2156 | 0.4610          | {'0': {'precision': 0.9470158343483557, 'recall': 0.9767587939698492, 'f1-score': 0.9616573902288188, 'support': 1592.0}, '1': {'precision': 0.8238095238095238, 'recall': 0.6653846153846154, 'f1-score': 0.7361702127659574, 'support': 260.0}, 'accuracy': 0.9330453563714903, 'macro avg': {'precision': 0.8854126790789397, 'recall': 0.8210717046772322, 'f1-score': 0.848913801497388, 'support': 1852.0}, 'weighted avg': {'precision': 0.9297190520912842, 'recall': 0.9330453563714903, 'f1-score': 0.9300015229824128, 'support': 1852.0}}    |
-| 0.0013        | 23.0  | 2254 | 0.4548          | {'0': {'precision': 0.9480757483200978, 'recall': 0.9748743718592965, 'f1-score': 0.9612883245586868, 'support': 1592.0}, '1': {'precision': 0.813953488372093, 'recall': 0.6730769230769231, 'f1-score': 0.7368421052631579, 'support': 260.0}, 'accuracy': 0.9325053995680346, 'macro avg': {'precision': 0.8810146183460954, 'recall': 0.8239756474681098, 'f1-score': 0.8490652149109224, 'support': 1852.0}, 'weighted avg': {'precision': 0.9292464893641145, 'recall': 0.9325053995680346, 'f1-score': 0.9297785961478674, 'support': 1852.0}}    |
-| 0.0013        | 24.0  | 2352 | 0.4452          | {'0': {'precision': 0.9480757483200978, 'recall': 0.9748743718592965, 'f1-score': 0.9612883245586868, 'support': 1592.0}, '1': {'precision': 0.813953488372093, 'recall': 0.6730769230769231, 'f1-score': 0.7368421052631579, 'support': 260.0}, 'accuracy': 0.9325053995680346, 'macro avg': {'precision': 0.8810146183460954, 'recall': 0.8239756474681098, 'f1-score': 0.8490652149109224, 'support': 1852.0}, 'weighted avg': {'precision': 0.9292464893641145, 'recall': 0.9325053995680346, 'f1-score': 0.9297785961478674, 'support': 1852.0}}    |
-| 0.0013        | 25.0  | 2450 | 0.4680          | {'0': {'precision': 0.9465045592705167, 'recall': 0.9780150753768844, 'f1-score': 0.9620018535681186, 'support': 1592.0}, '1': {'precision': 0.8309178743961353, 'recall': 0.6615384615384615, 'f1-score': 0.7366167023554604, 'support': 260.0}, 'accuracy': 0.933585313174946, 'macro avg': {'precision': 0.888711216833326, 'recall': 0.8197767684576729, 'f1-score': 0.8493092779617895, 'support': 1852.0}, 'weighted avg': {'precision': 0.9302774868799447, 'recall': 0.933585313174946, 'f1-score': 0.930360309661374, 'support': 1852.0}}       |
-| 0.001         | 26.0  | 2548 | 0.4563          | {'0': {'precision': 0.9481391092129348, 'recall': 0.9761306532663316, 'f1-score': 0.9619312906220984, 'support': 1592.0}, '1': {'precision': 0.8215962441314554, 'recall': 0.6730769230769231, 'f1-score': 0.7399577167019028, 'support': 260.0}, 'accuracy': 0.933585313174946, 'macro avg': {'precision': 0.884867676672195, 'recall': 0.8246037881716274, 'f1-score': 0.8509445036620006, 'support': 1852.0}, 'weighted avg': {'precision': 0.9303739121712584, 'recall': 0.933585313174946, 'f1-score': 0.9307686938514446, 'support': 1852.0}}      |
-| 0.001         | 27.0  | 2646 | 0.4720          | {'0': {'precision': 0.9465370595382746, 'recall': 0.9786432160804021, 'f1-score': 0.9623224212476837, 'support': 1592.0}, '1': {'precision': 0.8349514563106796, 'recall': 0.6615384615384615, 'f1-score': 0.7381974248927039, 'support': 260.0}, 'accuracy': 0.9341252699784017, 'macro avg': {'precision': 0.8907442579244771, 'recall': 0.8200908388094318, 'f1-score': 0.8502599230701938, 'support': 1852.0}, 'weighted avg': {'precision': 0.9308716940743574, 'recall': 0.9341252699784017, 'f1-score': 0.93085778893003, 'support': 1852.0}}     |
-| 0.001         | 28.0  | 2744 | 0.4285          | {'0': {'precision': 0.9519112207151664, 'recall': 0.9698492462311558, 'f1-score': 0.9607965152457997, 'support': 1592.0}, '1': {'precision': 0.7913043478260869, 'recall': 0.7, 'f1-score': 0.7428571428571429, 'support': 260.0}, 'accuracy': 0.9319654427645788, 'macro avg': {'precision': 0.8716077842706267, 'recall': 0.8349246231155778, 'f1-score': 0.8518268290514712, 'support': 1852.0}, 'weighted avg': {'precision': 0.9293638195536326, 'recall': 0.9319654427645788, 'f1-score': 0.9302002750616469, 'support': 1852.0}}                  |
-| 0.001         | 29.0  | 2842 | 0.4649          | {'0': {'precision': 0.947592931139549, 'recall': 0.9767587939698492, 'f1-score': 0.9619548407052273, 'support': 1592.0}, '1': {'precision': 0.8246445497630331, 'recall': 0.6692307692307692, 'f1-score': 0.7388535031847133, 'support': 260.0}, 'accuracy': 0.933585313174946, 'macro avg': {'precision': 0.8861187404512911, 'recall': 0.8229947816003091, 'f1-score': 0.8504041719449703, 'support': 1852.0}, 'weighted avg': {'precision': 0.9303323592400381, 'recall': 0.933585313174946, 'f1-score': 0.9306339185911163, 'support': 1852.0}}      |
-| 0.001         | 30.0  | 2940 | 0.4715          | {'0': {'precision': 0.9465045592705167, 'recall': 0.9780150753768844, 'f1-score': 0.9620018535681186, 'support': 1592.0}, '1': {'precision': 0.8309178743961353, 'recall': 0.6615384615384615, 'f1-score': 0.7366167023554604, 'support': 260.0}, 'accuracy': 0.933585313174946, 'macro avg': {'precision': 0.888711216833326, 'recall': 0.8197767684576729, 'f1-score': 0.8493092779617895, 'support': 1852.0}, 'weighted avg': {'precision': 0.9302774868799447, 'recall': 0.933585313174946, 'f1-score': 0.930360309661374, 'support': 1852.0}}       |
-| 0.001         | 31.0  | 3038 | 0.4358          | {'0': {'precision': 0.9519408502772643, 'recall': 0.9704773869346733, 'f1-score': 0.9611197511664075, 'support': 1592.0}, '1': {'precision': 0.7947598253275109, 'recall': 0.7, 'f1-score': 0.7443762781186094, 'support': 260.0}, 'accuracy': 0.9325053995680346, 'macro avg': {'precision': 0.8733503378023876, 'recall': 0.8352386934673366, 'f1-score': 0.8527480146425084, 'support': 1852.0}, 'weighted avg': {'precision': 0.9298743996903658, 'recall': 0.9325053995680346, 'f1-score': 0.9306914018184445, 'support': 1852.0}}                  |
-| 0.001         | 32.0  | 3136 | 0.4559          | {'0': {'precision': 0.9486552567237164, 'recall': 0.9748743718592965, 'f1-score': 0.9615861214374225, 'support': 1592.0}, '1': {'precision': 0.8148148148148148, 'recall': 0.676923076923077, 'f1-score': 0.7394957983193278, 'support': 260.0}, 'accuracy': 0.9330453563714903, 'macro avg': {'precision': 0.8817350357692656, 'recall': 0.8258987243911867, 'f1-score': 0.8505409598783751, 'support': 1852.0}, 'weighted avg': {'precision': 0.9298655618552961, 'recall': 0.9330453563714903, 'f1-score': 0.9304071343906056, 'support': 1852.0}}    |
-| 0.001         | 33.0  | 3234 | 0.4588          | {'0': {'precision': 0.9469512195121951, 'recall': 0.9755025125628141, 'f1-score': 0.9610148514851485, 'support': 1592.0}, '1': {'precision': 0.8160377358490566, 'recall': 0.6653846153846154, 'f1-score': 0.7330508474576272, 'support': 260.0}, 'accuracy': 0.9319654427645788, 'macro avg': {'precision': 0.8814944776806258, 'recall': 0.8204435639737147, 'f1-score': 0.8470328494713879, 'support': 1852.0}, 'weighted avg': {'precision': 0.9285724367085147, 'recall': 0.9319654427645788, 'f1-score': 0.9290112656065548, 'support': 1852.0}}   |
-| 0.001         | 34.0  | 3332 | 0.4686          | {'0': {'precision': 0.9470158343483557, 'recall': 0.9767587939698492, 'f1-score': 0.9616573902288188, 'support': 1592.0}, '1': {'precision': 0.8238095238095238, 'recall': 0.6653846153846154, 'f1-score': 0.7361702127659574, 'support': 260.0}, 'accuracy': 0.9330453563714903, 'macro avg': {'precision': 0.8854126790789397, 'recall': 0.8210717046772322, 'f1-score': 0.848913801497388, 'support': 1852.0}, 'weighted avg': {'precision': 0.9297190520912842, 'recall': 0.9330453563714903, 'f1-score': 0.9300015229824128, 'support': 1852.0}}    |
-| 0.001         | 35.0  | 3430 | 0.4755          | {'0': {'precision': 0.9464720194647201, 'recall': 0.9773869346733668, 'f1-score': 0.9616810877626699, 'support': 1592.0}, '1': {'precision': 0.8269230769230769, 'recall': 0.6615384615384615, 'f1-score': 0.7350427350427351, 'support': 260.0}, 'accuracy': 0.9330453563714903, 'macro avg': {'precision': 0.8866975481938986, 'recall': 0.8194626981059141, 'f1-score': 0.8483619114027026, 'support': 1852.0}, 'weighted avg': {'precision': 0.9296886905981827, 'recall': 0.9330453563714903, 'f1-score': 0.929863608439137, 'support': 1852.0}}    |
-| 0.001         | 36.0  | 3528 | 0.4484          | {'0': {'precision': 0.9502762430939227, 'recall': 0.9723618090452262, 'f1-score': 0.9611921763427507, 'support': 1592.0}, '1': {'precision': 0.8026905829596412, 'recall': 0.6884615384615385, 'f1-score': 0.7412008281573499, 'support': 260.0}, 'accuracy': 0.9325053995680346, 'macro avg': {'precision': 0.876483413026782, 'recall': 0.8304116737533823, 'f1-score': 0.8511965022500503, 'support': 1852.0}, 'weighted avg': {'precision': 0.9295568739606002, 'recall': 0.9325053995680346, 'f1-score': 0.9303078618026835, 'support': 1852.0}}    |
-| 0.001         | 37.0  | 3626 | 0.4880          | {'0': {'precision': 0.9460932768019382, 'recall': 0.9811557788944724, 'f1-score': 0.9633055812519272, 'support': 1592.0}, '1': {'precision': 0.8507462686567164, 'recall': 0.6576923076923077, 'f1-score': 0.7418655097613883, 'support': 260.0}, 'accuracy': 0.9357451403887689, 'macro avg': {'precision': 0.8984197727293273, 'recall': 0.81942404329339, 'f1-score': 0.8525855455066578, 'support': 1852.0}, 'weighted avg': {'precision': 0.9327076277102765, 'recall': 0.9357451403887689, 'f1-score': 0.9322178822305773, 'support': 1852.0}}     |
-| 0.001         | 38.0  | 3724 | 0.4990          | {'0': {'precision': 0.9439083232810616, 'recall': 0.9830402010050251, 'f1-score': 0.963076923076923, 'support': 1592.0}, '1': {'precision': 0.8608247422680413, 'recall': 0.6423076923076924, 'f1-score': 0.73568281938326, 'support': 260.0}, 'accuracy': 0.9352051835853131, 'macro avg': {'precision': 0.9023665327745514, 'recall': 0.8126739466563587, 'f1-score': 0.8493798712300915, 'support': 1852.0}, 'weighted avg': {'precision': 0.9322443216269659, 'recall': 0.9352051835853131, 'f1-score': 0.9311533448045946, 'support': 1852.0}}      |
-| 0.001         | 39.0  | 3822 | 0.4625          | {'0': {'precision': 0.9481391092129348, 'recall': 0.9761306532663316, 'f1-score': 0.9619312906220984, 'support': 1592.0}, '1': {'precision': 0.8215962441314554, 'recall': 0.6730769230769231, 'f1-score': 0.7399577167019028, 'support': 260.0}, 'accuracy': 0.933585313174946, 'macro avg': {'precision': 0.884867676672195, 'recall': 0.8246037881716274, 'f1-score': 0.8509445036620006, 'support': 1852.0}, 'weighted avg': {'precision': 0.9303739121712584, 'recall': 0.933585313174946, 'f1-score': 0.9307686938514446, 'support': 1852.0}}      |
-| 0.001         | 40.0  | 3920 | 0.4582          | {'0': {'precision': 0.9486866218692731, 'recall': 0.9755025125628141, 'f1-score': 0.9619077113657479, 'support': 1592.0}, '1': {'precision': 0.8186046511627907, 'recall': 0.676923076923077, 'f1-score': 0.7410526315789474, 'support': 260.0}, 'accuracy': 0.933585313174946, 'macro avg': {'precision': 0.8836456365160319, 'recall': 0.8262127947429455, 'f1-score': 0.8514801714723477, 'support': 1852.0}, 'weighted avg': {'precision': 0.9304245741459009, 'recall': 0.933585313174946, 'f1-score': 0.9309021386095017, 'support': 1852.0}}      |
-| 0.001         | 41.0  | 4018 | 0.4695          | {'0': {'precision': 0.9465045592705167, 'recall': 0.9780150753768844, 'f1-score': 0.9620018535681186, 'support': 1592.0}, '1': {'precision': 0.8309178743961353, 'recall': 0.6615384615384615, 'f1-score': 0.7366167023554604, 'support': 260.0}, 'accuracy': 0.933585313174946, 'macro avg': {'precision': 0.888711216833326, 'recall': 0.8197767684576729, 'f1-score': 0.8493092779617895, 'support': 1852.0}, 'weighted avg': {'precision': 0.9302774868799447, 'recall': 0.933585313174946, 'f1-score': 0.930360309661374, 'support': 1852.0}}       |
-| 0.001         | 42.0  | 4116 | 0.4682          | {'0': {'precision': 0.9480440097799511, 'recall': 0.9742462311557789, 'f1-score': 0.9609665427509294, 'support': 1592.0}, '1': {'precision': 0.8101851851851852, 'recall': 0.6730769230769231, 'f1-score': 0.7352941176470589, 'support': 260.0}, 'accuracy': 0.9319654427645788, 'macro avg': {'precision': 0.8791145974825681, 'recall': 0.823661577116351, 'f1-score': 0.8481303301989942, 'support': 1852.0}, 'weighted avg': {'precision': 0.9286901791132993, 'recall': 0.9319654427645788, 'f1-score': 0.9292846688162608, 'support': 1852.0}}    |
-| 0.001         | 43.0  | 4214 | 0.4735          | {'0': {'precision': 0.9464394400486914, 'recall': 0.9767587939698492, 'f1-score': 0.9613601236476044, 'support': 1592.0}, '1': {'precision': 0.8229665071770335, 'recall': 0.6615384615384615, 'f1-score': 0.7334754797441365, 'support': 260.0}, 'accuracy': 0.9325053995680346, 'macro avg': {'precision': 0.8847029736128624, 'recall': 0.8191486277541553, 'f1-score': 0.8474178016958704, 'support': 1852.0}, 'weighted avg': {'precision': 0.9291052270105536, 'recall': 0.9325053995680346, 'f1-score': 0.9293676790391261, 'support': 1852.0}}   |
-| 0.001         | 44.0  | 4312 | 0.4685          | {'0': {'precision': 0.9476567255021302, 'recall': 0.9780150753768844, 'f1-score': 0.962596599690881, 'support': 1592.0}, '1': {'precision': 0.8325358851674641, 'recall': 0.6692307692307692, 'f1-score': 0.7420042643923241, 'support': 260.0}, 'accuracy': 0.9346652267818575, 'macro avg': {'precision': 0.8900963053347972, 'recall': 0.8236229223038267, 'f1-score': 0.8523004320416026, 'support': 1852.0}, 'weighted avg': {'precision': 0.931495052452987, 'recall': 0.9346652267818575, 'f1-score': 0.931627913309874, 'support': 1852.0}}      |
-| 0.001         | 45.0  | 4410 | 0.4780          | {'0': {'precision': 0.9482023156611822, 'recall': 0.9773869346733668, 'f1-score': 0.9625734611815651, 'support': 1592.0}, '1': {'precision': 0.8293838862559242, 'recall': 0.6730769230769231, 'f1-score': 0.7430997876857749, 'support': 260.0}, 'accuracy': 0.9346652267818575, 'macro avg': {'precision': 0.8887931009585532, 'recall': 0.825231928875145, 'f1-score': 0.85283662443367, 'support': 1852.0}, 'weighted avg': {'precision': 0.9315215426345261, 'recall': 0.9346652267818575, 'f1-score': 0.9317618223538624, 'support': 1852.0}}      |
-| 0.0009        | 46.0  | 4508 | 0.4769          | {'0': {'precision': 0.9464720194647201, 'recall': 0.9773869346733668, 'f1-score': 0.9616810877626699, 'support': 1592.0}, '1': {'precision': 0.8269230769230769, 'recall': 0.6615384615384615, 'f1-score': 0.7350427350427351, 'support': 260.0}, 'accuracy': 0.9330453563714903, 'macro avg': {'precision': 0.8866975481938986, 'recall': 0.8194626981059141, 'f1-score': 0.8483619114027026, 'support': 1852.0}, 'weighted avg': {'precision': 0.9296886905981827, 'recall': 0.9330453563714903, 'f1-score': 0.929863608439137, 'support': 1852.0}}    |
-| 0.0009        | 47.0  | 4606 | 0.4778          | {'0': {'precision': 0.9464394400486914, 'recall': 0.9767587939698492, 'f1-score': 0.9613601236476044, 'support': 1592.0}, '1': {'precision': 0.8229665071770335, 'recall': 0.6615384615384615, 'f1-score': 0.7334754797441365, 'support': 260.0}, 'accuracy': 0.9325053995680346, 'macro avg': {'precision': 0.8847029736128624, 'recall': 0.8191486277541553, 'f1-score': 0.8474178016958704, 'support': 1852.0}, 'weighted avg': {'precision': 0.9291052270105536, 'recall': 0.9325053995680346, 'f1-score': 0.9293676790391261, 'support': 1852.0}}   |
-| 0.0009        | 48.0  | 4704 | 0.4644          | {'0': {'precision': 0.9476567255021302, 'recall': 0.9780150753768844, 'f1-score': 0.962596599690881, 'support': 1592.0}, '1': {'precision': 0.8325358851674641, 'recall': 0.6692307692307692, 'f1-score': 0.7420042643923241, 'support': 260.0}, 'accuracy': 0.9346652267818575, 'macro avg': {'precision': 0.8900963053347972, 'recall': 0.8236229223038267, 'f1-score': 0.8523004320416026, 'support': 1852.0}, 'weighted avg': {'precision': 0.931495052452987, 'recall': 0.9346652267818575, 'f1-score': 0.931627913309874, 'support': 1852.0}}      |
-| 0.0009        | 49.0  | 4802 | 0.4673          | {'0': {'precision': 0.946983546617916, 'recall': 0.9761306532663316, 'f1-score': 0.9613362202288895, 'support': 1592.0}, '1': {'precision': 0.8199052132701422, 'recall': 0.6653846153846154, 'f1-score': 0.7346072186836518, 'support': 260.0}, 'accuracy': 0.9325053995680346, 'macro avg': {'precision': 0.883444379944029, 'recall': 0.8207576343254734, 'f1-score': 0.8479717194562706, 'support': 1852.0}, 'weighted avg': {'precision': 0.9291431758455503, 'recall': 0.9325053995680346, 'f1-score': 0.9295060148283701, 'support': 1852.0}}     |
-| 0.0009        | 50.0  | 4900 | 0.4687          | {'0': {'precision': 0.9499083689676237, 'recall': 0.9767587939698492, 'f1-score': 0.9631464849798699, 'support': 1592.0}, '1': {'precision': 0.827906976744186, 'recall': 0.6846153846153846, 'f1-score': 0.7494736842105263, 'support': 260.0}, 'accuracy': 0.9357451403887689, 'macro avg': {'precision': 0.8889076728559049, 'recall': 0.8306870892926169, 'f1-score': 0.8563100845951981, 'support': 1852.0}, 'weighted avg': {'precision': 0.9327807437094736, 'recall': 0.9357451403887689, 'f1-score': 0.9331492235327697, 'support': 1852.0}}    |
+| Training Loss | Epoch | Step | Validation Loss | Classification Report                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |
+|:-------------:|:-----:|:----:|:---------------:|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
+| No log        | 1.0   | 98   | 0.2339          | {'0': {'precision': 0.9068287037037037, 'recall': 0.9842964824120602, 'f1-score': 0.9439759036144578, 'support': 1592.0}, '1': {'precision': 0.7983870967741935, 'recall': 0.38076923076923075, 'f1-score': 0.515625, 'support': 260.0}, 'accuracy': 0.8995680345572354, 'macro avg': {'precision': 0.8526079002389486, 'recall': 0.6825328565906454, 'f1-score': 0.729800451807229, 'support': 1852.0}, 'weighted avg': {'precision': 0.891604720009496, 'recall': 0.8995680345572354, 'f1-score': 0.8838402475994692, 'support': 1852.0}}            |
+| No log        | 2.0   | 196  | 0.1974          | {'0': {'precision': 0.9299703264094955, 'recall': 0.9842964824120602, 'f1-score': 0.9563625267012511, 'support': 1592.0}, '1': {'precision': 0.8502994011976048, 'recall': 0.5461538461538461, 'f1-score': 0.6651053864168618, 'support': 260.0}, 'accuracy': 0.9227861771058316, 'macro avg': {'precision': 0.8901348638035502, 'recall': 0.7652251642829532, 'f1-score': 0.8107339565590564, 'support': 1852.0}, 'weighted avg': {'precision': 0.9187854233019946, 'recall': 0.9227861771058316, 'f1-score': 0.9154732953438315, 'support': 1852.0}} |
+| No log        | 3.0   | 294  | 0.1808          | {'0': {'precision': 0.9491945477075588, 'recall': 0.9623115577889447, 'f1-score': 0.9557080474111042, 'support': 1592.0}, '1': {'precision': 0.7478991596638656, 'recall': 0.6846153846153846, 'f1-score': 0.714859437751004, 'support': 260.0}, 'accuracy': 0.9233261339092873, 'macro avg': {'precision': 0.8485468536857121, 'recall': 0.8234634712021647, 'f1-score': 0.8352837425810541, 'support': 1852.0}, 'weighted avg': {'precision': 0.9209349359951613, 'recall': 0.9233261339092873, 'f1-score': 0.9218956076100101, 'support': 1852.0}}  |
+| No log        | 4.0   | 392  | 0.1874          | {'0': {'precision': 0.9276470588235294, 'recall': 0.9905778894472361, 'f1-score': 0.9580801944106926, 'support': 1592.0}, '1': {'precision': 0.9013157894736842, 'recall': 0.5269230769230769, 'f1-score': 0.6650485436893204, 'support': 260.0}, 'accuracy': 0.9254859611231101, 'macro avg': {'precision': 0.9144814241486068, 'recall': 0.7587504831851566, 'f1-score': 0.8115643690500065, 'support': 1852.0}, 'weighted avg': {'precision': 0.9239504443359702, 'recall': 0.9254859611231101, 'f1-score': 0.9169418417176273, 'support': 1852.0}} |
+| No log        | 5.0   | 490  | 0.2778          | {'0': {'precision': 0.98125, 'recall': 0.8875628140703518, 'f1-score': 0.9320580474934037, 'support': 1592.0}, '1': {'precision': 0.5655339805825242, 'recall': 0.8961538461538462, 'f1-score': 0.6934523809523809, 'support': 260.0}, 'accuracy': 0.8887688984881209, 'macro avg': {'precision': 0.773391990291262, 'recall': 0.891858330112099, 'f1-score': 0.8127552142228923, 'support': 1852.0}, 'weighted avg': {'precision': 0.9228881398226005, 'recall': 0.8887688984881209, 'f1-score': 0.8985604917155063, 'support': 1852.0}}              |
+| 0.2088        | 6.0   | 588  | 0.1884          | {'0': {'precision': 0.964308476736775, 'recall': 0.9503768844221105, 'f1-score': 0.957291996203733, 'support': 1592.0}, '1': {'precision': 0.7208480565371025, 'recall': 0.7846153846153846, 'f1-score': 0.7513812154696132, 'support': 260.0}, 'accuracy': 0.9271058315334774, 'macro avg': {'precision': 0.8425782666369388, 'recall': 0.8674961345187475, 'f1-score': 0.854336605836673, 'support': 1852.0}, 'weighted avg': {'precision': 0.9301293680694344, 'recall': 0.9271058315334774, 'f1-score': 0.9283844351935433, 'support': 1852.0}}    |
+| 0.2088        | 7.0   | 686  | 0.3764          | {'0': {'precision': 0.9817287420941673, 'recall': 0.8775125628140703, 'f1-score': 0.9266998341625208, 'support': 1592.0}, '1': {'precision': 0.5454545454545454, 'recall': 0.9, 'f1-score': 0.6792452830188679, 'support': 260.0}, 'accuracy': 0.8806695464362851, 'macro avg': {'precision': 0.7635916437743564, 'recall': 0.8887562814070351, 'f1-score': 0.8029725585906944, 'support': 1852.0}, 'weighted avg': {'precision': 0.9204807447257538, 'recall': 0.8806695464362851, 'f1-score': 0.8919599943691354, 'support': 1852.0}}                |
+| 0.2088        | 8.0   | 784  | 0.3698          | {'0': {'precision': 0.9257950530035336, 'recall': 0.9874371859296482, 'f1-score': 0.9556231003039514, 'support': 1592.0}, '1': {'precision': 0.8701298701298701, 'recall': 0.5153846153846153, 'f1-score': 0.6473429951690821, 'support': 260.0}, 'accuracy': 0.9211663066954644, 'macro avg': {'precision': 0.8979624615667019, 'recall': 0.7514109006571318, 'f1-score': 0.8014830477365167, 'support': 1852.0}, 'weighted avg': {'precision': 0.9179802865093909, 'recall': 0.9211663066954644, 'f1-score': 0.9123440358681706, 'support': 1852.0}} |
+| 0.2088        | 9.0   | 882  | 0.3585          | {'0': {'precision': 0.9406474820143885, 'recall': 0.9855527638190955, 'f1-score': 0.9625766871165644, 'support': 1592.0}, '1': {'precision': 0.875, 'recall': 0.6192307692307693, 'f1-score': 0.7252252252252253, 'support': 260.0}, 'accuracy': 0.9341252699784017, 'macro avg': {'precision': 0.9078237410071943, 'recall': 0.8023917665249324, 'f1-score': 0.8439009561708948, 'support': 1852.0}, 'weighted avg': {'precision': 0.9314313128331029, 'recall': 0.9341252699784017, 'f1-score': 0.9292552075853829, 'support': 1852.0}}              |
+| 0.2088        | 10.0  | 980  | 0.3604          | {'0': {'precision': 0.945995145631068, 'recall': 0.9792713567839196, 'f1-score': 0.9623456790123457, 'support': 1592.0}, '1': {'precision': 0.8382352941176471, 'recall': 0.6576923076923077, 'f1-score': 0.7370689655172413, 'support': 260.0}, 'accuracy': 0.9341252699784017, 'macro avg': {'precision': 0.8921152198743576, 'recall': 0.8184818322381137, 'f1-score': 0.8497073222647935, 'support': 1852.0}, 'weighted avg': {'precision': 0.930866872740415, 'recall': 0.9341252699784017, 'f1-score': 0.9307193585432706, 'support': 1852.0}}   |
+| 0.0436        | 11.0  | 1078 | 0.4033          | {'0': {'precision': 0.9582814445828145, 'recall': 0.9667085427135679, 'f1-score': 0.9624765478424016, 'support': 1592.0}, '1': {'precision': 0.7845528455284553, 'recall': 0.7423076923076923, 'f1-score': 0.7628458498023716, 'support': 260.0}, 'accuracy': 0.9352051835853131, 'macro avg': {'precision': 0.871417145055635, 'recall': 0.8545081175106302, 'f1-score': 0.8626611988223866, 'support': 1852.0}, 'weighted avg': {'precision': 0.933891900439114, 'recall': 0.9352051835853131, 'f1-score': 0.9344506399102158, 'support': 1852.0}}   |
+| 0.0436        | 12.0  | 1176 | 0.3949          | {'0': {'precision': 0.9597989949748744, 'recall': 0.9597989949748744, 'f1-score': 0.9597989949748744, 'support': 1592.0}, '1': {'precision': 0.7538461538461538, 'recall': 0.7538461538461538, 'f1-score': 0.7538461538461538, 'support': 260.0}, 'accuracy': 0.9308855291576674, 'macro avg': {'precision': 0.8568225744105141, 'recall': 0.8568225744105141, 'f1-score': 0.8568225744105141, 'support': 1852.0}, 'weighted avg': {'precision': 0.9308855291576674, 'recall': 0.9308855291576674, 'f1-score': 0.9308855291576674, 'support': 1852.0}} |
+| 0.0436        | 13.0  | 1274 | 0.4250          | {'0': {'precision': 0.9497856705450092, 'recall': 0.9742462311557789, 'f1-score': 0.9618604651162791, 'support': 1592.0}, '1': {'precision': 0.8127853881278538, 'recall': 0.6846153846153846, 'f1-score': 0.7432150313152401, 'support': 260.0}, 'accuracy': 0.933585313174946, 'macro avg': {'precision': 0.8812855293364315, 'recall': 0.8294308078855818, 'f1-score': 0.8525377482157597, 'support': 1852.0}, 'weighted avg': {'precision': 0.9305523695577196, 'recall': 0.933585313174946, 'f1-score': 0.9311651018396754, 'support': 1852.0}}   |
+| 0.0436        | 14.0  | 1372 | 0.4133          | {'0': {'precision': 0.9513846153846154, 'recall': 0.9711055276381909, 'f1-score': 0.9611439229095431, 'support': 1592.0}, '1': {'precision': 0.7973568281938326, 'recall': 0.6961538461538461, 'f1-score': 0.7433264887063655, 'support': 260.0}, 'accuracy': 0.9325053995680346, 'macro avg': {'precision': 0.874370721789224, 'recall': 0.8336296868960185, 'f1-score': 0.8522352058079543, 'support': 1852.0}, 'weighted avg': {'precision': 0.9297608439647431, 'recall': 0.9325053995680346, 'f1-score': 0.9305648014771316, 'support': 1852.0}}  |
+| 0.0436        | 15.0  | 1470 | 0.4521          | {'0': {'precision': 0.9595267745952677, 'recall': 0.967964824120603, 'f1-score': 0.9637273295809882, 'support': 1592.0}, '1': {'precision': 0.7926829268292683, 'recall': 0.75, 'f1-score': 0.7707509881422925, 'support': 260.0}, 'accuracy': 0.937365010799136, 'macro avg': {'precision': 0.876104850712268, 'recall': 0.8589824120603016, 'f1-score': 0.8672391588616404, 'support': 1852.0}, 'weighted avg': {'precision': 0.9361037722091122, 'recall': 0.937365010799136, 'f1-score': 0.9366356185798754, 'support': 1852.0}}                   |
+| 0.0034        | 16.0  | 1568 | 0.4702          | {'0': {'precision': 0.9539877300613497, 'recall': 0.9767587939698492, 'f1-score': 0.9652389819987586, 'support': 1592.0}, '1': {'precision': 0.8333333333333334, 'recall': 0.7115384615384616, 'f1-score': 0.7676348547717843, 'support': 260.0}, 'accuracy': 0.9395248380129589, 'macro avg': {'precision': 0.8936605316973416, 'recall': 0.8441486277541554, 'f1-score': 0.8664369183852714, 'support': 1852.0}, 'weighted avg': {'precision': 0.9370492078425138, 'recall': 0.9395248380129589, 'f1-score': 0.9374975818481035, 'support': 1852.0}} |
+| 0.0034        | 17.0  | 1666 | 0.4387          | {'0': {'precision': 0.9544334975369458, 'recall': 0.9736180904522613, 'f1-score': 0.9639303482587065, 'support': 1592.0}, '1': {'precision': 0.8157894736842105, 'recall': 0.7153846153846154, 'f1-score': 0.7622950819672131, 'support': 260.0}, 'accuracy': 0.937365010799136, 'macro avg': {'precision': 0.8851114856105782, 'recall': 0.8445013529184384, 'f1-score': 0.8631127151129598, 'support': 1852.0}, 'weighted avg': {'precision': 0.9349694337131277, 'recall': 0.937365010799136, 'f1-score': 0.935623021457525, 'support': 1852.0}}    |
+| 0.0034        | 18.0  | 1764 | 0.4214          | {'0': {'precision': 0.9576587795765878, 'recall': 0.9660804020100503, 'f1-score': 0.9618511569731082, 'support': 1592.0}, '1': {'precision': 0.7804878048780488, 'recall': 0.7384615384615385, 'f1-score': 0.758893280632411, 'support': 260.0}, 'accuracy': 0.9341252699784017, 'macro avg': {'precision': 0.8690732922273183, 'recall': 0.8522709702357945, 'f1-score': 0.8603722188027596, 'support': 1852.0}, 'weighted avg': {'precision': 0.9327859645541148, 'recall': 0.9341252699784017, 'f1-score': 0.9333581505753863, 'support': 1852.0}}  |
+| 0.0034        | 19.0  | 1862 | 0.4786          | {'0': {'precision': 0.9513546798029556, 'recall': 0.9704773869346733, 'f1-score': 0.960820895522388, 'support': 1592.0}, '1': {'precision': 0.793859649122807, 'recall': 0.6961538461538461, 'f1-score': 0.7418032786885246, 'support': 260.0}, 'accuracy': 0.9319654427645788, 'macro avg': {'precision': 0.8726071644628813, 'recall': 0.8333156165442597, 'f1-score': 0.8513120871054562, 'support': 1852.0}, 'weighted avg': {'precision': 0.9292441463381399, 'recall': 0.9319654427645788, 'f1-score': 0.9300732819280012, 'support': 1852.0}}   |
+| 0.0034        | 20.0  | 1960 | 0.4685          | {'0': {'precision': 0.9592220828105396, 'recall': 0.960427135678392, 'f1-score': 0.9598242310106717, 'support': 1592.0}, '1': {'precision': 0.7558139534883721, 'recall': 0.75, 'f1-score': 0.752895752895753, 'support': 260.0}, 'accuracy': 0.9308855291576674, 'macro avg': {'precision': 0.8575180181494558, 'recall': 0.855213567839196, 'f1-score': 0.8563599919532123, 'support': 1852.0}, 'weighted avg': {'precision': 0.9306658659510562, 'recall': 0.9308855291576674, 'f1-score': 0.9307737967180806, 'support': 1852.0}}                  |
+| 0.0014        | 21.0  | 2058 | 0.4487          | {'0': {'precision': 0.956386292834891, 'recall': 0.9641959798994975, 'f1-score': 0.960275258054426, 'support': 1592.0}, '1': {'precision': 0.7692307692307693, 'recall': 0.7307692307692307, 'f1-score': 0.7495069033530573, 'support': 260.0}, 'accuracy': 0.9314254859611231, 'macro avg': {'precision': 0.8628085310328302, 'recall': 0.847482605334364, 'f1-score': 0.8548910807037416, 'support': 1852.0}, 'weighted avg': {'precision': 0.9301117592835564, 'recall': 0.9314254859611231, 'f1-score': 0.930685748215141, 'support': 1852.0}}     |
+| 0.0014        | 22.0  | 2156 | 0.4918          | {'0': {'precision': 0.947560975609756, 'recall': 0.9761306532663316, 'f1-score': 0.9616336633663366, 'support': 1592.0}, '1': {'precision': 0.8207547169811321, 'recall': 0.6692307692307692, 'f1-score': 0.7372881355932204, 'support': 260.0}, 'accuracy': 0.9330453563714903, 'macro avg': {'precision': 0.884157846295444, 'recall': 0.8226807112485504, 'f1-score': 0.8494608994797785, 'support': 1852.0}, 'weighted avg': {'precision': 0.9297588010722603, 'recall': 0.9330453563714903, 'f1-score': 0.9301380709143872, 'support': 1852.0}}   |
+| 0.0014        | 23.0  | 2254 | 0.4848          | {'0': {'precision': 0.9486866218692731, 'recall': 0.9755025125628141, 'f1-score': 0.9619077113657479, 'support': 1592.0}, '1': {'precision': 0.8186046511627907, 'recall': 0.676923076923077, 'f1-score': 0.7410526315789474, 'support': 260.0}, 'accuracy': 0.933585313174946, 'macro avg': {'precision': 0.8836456365160319, 'recall': 0.8262127947429455, 'f1-score': 0.8514801714723477, 'support': 1852.0}, 'weighted avg': {'precision': 0.9304245741459009, 'recall': 0.933585313174946, 'f1-score': 0.9309021386095017, 'support': 1852.0}}    |
+| 0.0014        | 24.0  | 2352 | 0.4883          | {'0': {'precision': 0.950337216431637, 'recall': 0.9736180904522613, 'f1-score': 0.9618367980142725, 'support': 1592.0}, '1': {'precision': 0.8099547511312217, 'recall': 0.6884615384615385, 'f1-score': 0.7442827442827443, 'support': 260.0}, 'accuracy': 0.933585313174946, 'macro avg': {'precision': 0.8801459837814294, 'recall': 0.8310398144568999, 'f1-score': 0.8530597711485084, 'support': 1852.0}, 'weighted avg': {'precision': 0.930629094953177, 'recall': 0.933585313174946, 'f1-score': 0.9312946522420277, 'support': 1852.0}}     |
+| 0.0014        | 25.0  | 2450 | 0.5083          | {'0': {'precision': 0.947528981086028, 'recall': 0.9755025125628141, 'f1-score': 0.9613122872175797, 'support': 1592.0}, '1': {'precision': 0.8169014084507042, 'recall': 0.6692307692307692, 'f1-score': 0.7357293868921776, 'support': 260.0}, 'accuracy': 0.9325053995680346, 'macro avg': {'precision': 0.8822151947683661, 'recall': 0.8223666408967916, 'f1-score': 0.8485208370548787, 'support': 1852.0}, 'weighted avg': {'precision': 0.9291903369795571, 'recall': 0.9325053995680346, 'f1-score': 0.9296429815563462, 'support': 1852.0}}  |
+| 0.0011        | 26.0  | 2548 | 0.4622          | {'0': {'precision': 0.9547707558859975, 'recall': 0.967964824120603, 'f1-score': 0.9613225202744854, 'support': 1592.0}, '1': {'precision': 0.7857142857142857, 'recall': 0.7192307692307692, 'f1-score': 0.751004016064257, 'support': 260.0}, 'accuracy': 0.9330453563714903, 'macro avg': {'precision': 0.8702425208001416, 'recall': 0.8435977966756861, 'f1-score': 0.8561632681693712, 'support': 1852.0}, 'weighted avg': {'precision': 0.9310371261642669, 'recall': 0.9330453563714903, 'f1-score': 0.93179616439184, 'support': 1852.0}}     |
+| 0.0011        | 27.0  | 2646 | 0.5078          | {'0': {'precision': 0.9498164014687882, 'recall': 0.9748743718592965, 'f1-score': 0.9621822690638562, 'support': 1592.0}, '1': {'precision': 0.8165137614678899, 'recall': 0.6846153846153846, 'f1-score': 0.7447698744769874, 'support': 260.0}, 'accuracy': 0.9341252699784017, 'macro avg': {'precision': 0.883165081468339, 'recall': 0.8297448782373406, 'f1-score': 0.8534760717704217, 'support': 1852.0}, 'weighted avg': {'precision': 0.9311022079481438, 'recall': 0.9341252699784017, 'f1-score': 0.9316600106445333, 'support': 1852.0}}  |
+| 0.0011        | 28.0  | 2744 | 0.5243          | {'0': {'precision': 0.947528981086028, 'recall': 0.9755025125628141, 'f1-score': 0.9613122872175797, 'support': 1592.0}, '1': {'precision': 0.8169014084507042, 'recall': 0.6692307692307692, 'f1-score': 0.7357293868921776, 'support': 260.0}, 'accuracy': 0.9325053995680346, 'macro avg': {'precision': 0.8822151947683661, 'recall': 0.8223666408967916, 'f1-score': 0.8485208370548787, 'support': 1852.0}, 'weighted avg': {'precision': 0.9291903369795571, 'recall': 0.9325053995680346, 'f1-score': 0.9296429815563462, 'support': 1852.0}}  |
+| 0.0011        | 29.0  | 2842 | 0.4909          | {'0': {'precision': 0.9502762430939227, 'recall': 0.9723618090452262, 'f1-score': 0.9611921763427507, 'support': 1592.0}, '1': {'precision': 0.8026905829596412, 'recall': 0.6884615384615385, 'f1-score': 0.7412008281573499, 'support': 260.0}, 'accuracy': 0.9325053995680346, 'macro avg': {'precision': 0.876483413026782, 'recall': 0.8304116737533823, 'f1-score': 0.8511965022500503, 'support': 1852.0}, 'weighted avg': {'precision': 0.9295568739606002, 'recall': 0.9325053995680346, 'f1-score': 0.9303078618026835, 'support': 1852.0}}  |
+| 0.0011        | 30.0  | 2940 | 0.4770          | {'0': {'precision': 0.9525277435265105, 'recall': 0.9704773869346733, 'f1-score': 0.9614187927815806, 'support': 1592.0}, '1': {'precision': 0.7956521739130434, 'recall': 0.7038461538461539, 'f1-score': 0.746938775510204, 'support': 260.0}, 'accuracy': 0.9330453563714903, 'macro avg': {'precision': 0.874089958719777, 'recall': 0.8371617703904136, 'f1-score': 0.8541787841458923, 'support': 1852.0}, 'weighted avg': {'precision': 0.9305041754382267, 'recall': 0.9330453563714903, 'f1-score': 0.9313082072035255, 'support': 1852.0}}   |
+| 0.0012        | 31.0  | 3038 | 0.5137          | {'0': {'precision': 0.9464068209500609, 'recall': 0.9761306532663316, 'f1-score': 0.961038961038961, 'support': 1592.0}, '1': {'precision': 0.819047619047619, 'recall': 0.6615384615384615, 'f1-score': 0.7319148936170212, 'support': 260.0}, 'accuracy': 0.9319654427645788, 'macro avg': {'precision': 0.88272721999884, 'recall': 0.8188345574023965, 'f1-score': 0.8464769273279911, 'support': 1852.0}, 'weighted avg': {'precision': 0.9285270193870832, 'recall': 0.9319654427645788, 'f1-score': 0.9288725152885808, 'support': 1852.0}}     |
+| 0.0012        | 32.0  | 3136 | 0.4797          | {'0': {'precision': 0.9553349875930521, 'recall': 0.9673366834170855, 'f1-score': 0.9612983770287141, 'support': 1592.0}, '1': {'precision': 0.7833333333333333, 'recall': 0.7230769230769231, 'f1-score': 0.752, 'support': 260.0}, 'accuracy': 0.9330453563714903, 'macro avg': {'precision': 0.8693341604631928, 'recall': 0.8452068032470043, 'f1-score': 0.856649188514357, 'support': 1852.0}, 'weighted avg': {'precision': 0.9311878871030268, 'recall': 0.9330453563714903, 'f1-score': 0.9319152355452013, 'support': 1852.0}}               |
+| 0.0012        | 33.0  | 3234 | 0.5103          | {'0': {'precision': 0.947528981086028, 'recall': 0.9755025125628141, 'f1-score': 0.9613122872175797, 'support': 1592.0}, '1': {'precision': 0.8169014084507042, 'recall': 0.6692307692307692, 'f1-score': 0.7357293868921776, 'support': 260.0}, 'accuracy': 0.9325053995680346, 'macro avg': {'precision': 0.8822151947683661, 'recall': 0.8223666408967916, 'f1-score': 0.8485208370548787, 'support': 1852.0}, 'weighted avg': {'precision': 0.9291903369795571, 'recall': 0.9325053995680346, 'f1-score': 0.9296429815563462, 'support': 1852.0}}  |
+| 0.0012        | 34.0  | 3332 | 0.5018          | {'0': {'precision': 0.9497549019607843, 'recall': 0.9736180904522613, 'f1-score': 0.9615384615384616, 'support': 1592.0}, '1': {'precision': 0.8090909090909091, 'recall': 0.6846153846153846, 'f1-score': 0.7416666666666667, 'support': 260.0}, 'accuracy': 0.9330453563714903, 'macro avg': {'precision': 0.8794229055258467, 'recall': 0.829116737533823, 'f1-score': 0.8516025641025642, 'support': 1852.0}, 'weighted avg': {'precision': 0.9300072571734369, 'recall': 0.9330453563714903, 'f1-score': 0.9306709309409092, 'support': 1852.0}}  |
+| 0.0012        | 35.0  | 3430 | 0.5222          | {'0': {'precision': 0.9457978075517661, 'recall': 0.9755025125628141, 'f1-score': 0.9604205318491033, 'support': 1592.0}, '1': {'precision': 0.8142857142857143, 'recall': 0.6576923076923077, 'f1-score': 0.7276595744680852, 'support': 260.0}, 'accuracy': 0.9308855291576674, 'macro avg': {'precision': 0.8800417609187402, 'recall': 0.8165974101275608, 'f1-score': 0.8440400531585942, 'support': 1852.0}, 'weighted avg': {'precision': 0.927334986682882, 'recall': 0.9308855291576674, 'f1-score': 0.9277435075947487, 'support': 1852.0}}  |
+| 0.001         | 36.0  | 3528 | 0.5128          | {'0': {'precision': 0.9498164014687882, 'recall': 0.9748743718592965, 'f1-score': 0.9621822690638562, 'support': 1592.0}, '1': {'precision': 0.8165137614678899, 'recall': 0.6846153846153846, 'f1-score': 0.7447698744769874, 'support': 260.0}, 'accuracy': 0.9341252699784017, 'macro avg': {'precision': 0.883165081468339, 'recall': 0.8297448782373406, 'f1-score': 0.8534760717704217, 'support': 1852.0}, 'weighted avg': {'precision': 0.9311022079481438, 'recall': 0.9341252699784017, 'f1-score': 0.9316600106445333, 'support': 1852.0}}  |
+| 0.001         | 37.0  | 3626 | 0.5022          | {'0': {'precision': 0.9513846153846154, 'recall': 0.9711055276381909, 'f1-score': 0.9611439229095431, 'support': 1592.0}, '1': {'precision': 0.7973568281938326, 'recall': 0.6961538461538461, 'f1-score': 0.7433264887063655, 'support': 260.0}, 'accuracy': 0.9325053995680346, 'macro avg': {'precision': 0.874370721789224, 'recall': 0.8336296868960185, 'f1-score': 0.8522352058079543, 'support': 1852.0}, 'weighted avg': {'precision': 0.9297608439647431, 'recall': 0.9325053995680346, 'f1-score': 0.9305648014771316, 'support': 1852.0}}  |
+| 0.001         | 38.0  | 3724 | 0.4909          | {'0': {'precision': 0.9525277435265105, 'recall': 0.9704773869346733, 'f1-score': 0.9614187927815806, 'support': 1592.0}, '1': {'precision': 0.7956521739130434, 'recall': 0.7038461538461539, 'f1-score': 0.746938775510204, 'support': 260.0}, 'accuracy': 0.9330453563714903, 'macro avg': {'precision': 0.874089958719777, 'recall': 0.8371617703904136, 'f1-score': 0.8541787841458923, 'support': 1852.0}, 'weighted avg': {'precision': 0.9305041754382267, 'recall': 0.9330453563714903, 'f1-score': 0.9313082072035255, 'support': 1852.0}}   |
+| 0.001         | 39.0  | 3822 | 0.4992          | {'0': {'precision': 0.9508599508599509, 'recall': 0.9723618090452262, 'f1-score': 0.9614906832298137, 'support': 1592.0}, '1': {'precision': 0.8035714285714286, 'recall': 0.6923076923076923, 'f1-score': 0.743801652892562, 'support': 260.0}, 'accuracy': 0.9330453563714903, 'macro avg': {'precision': 0.8772156897156898, 'recall': 0.8323347506764592, 'f1-score': 0.8526461680611879, 'support': 1852.0}, 'weighted avg': {'precision': 0.9301822965429878, 'recall': 0.9330453563714903, 'f1-score': 0.9309295882580612, 'support': 1852.0}}  |
+| 0.001         | 40.0  | 3920 | 0.4993          | {'0': {'precision': 0.9503067484662576, 'recall': 0.9729899497487438, 'f1-score': 0.9615145872129113, 'support': 1592.0}, '1': {'precision': 0.8063063063063063, 'recall': 0.6884615384615385, 'f1-score': 0.7427385892116183, 'support': 260.0}, 'accuracy': 0.9330453563714903, 'macro avg': {'precision': 0.878306527386282, 'recall': 0.8307257441051411, 'f1-score': 0.8521265882122648, 'support': 1852.0}, 'weighted avg': {'precision': 0.9300907036705841, 'recall': 0.9330453563714903, 'f1-score': 0.9308008941889717, 'support': 1852.0}}  |
+| 0.0009        | 41.0  | 4018 | 0.5086          | {'0': {'precision': 0.9503676470588235, 'recall': 0.9742462311557789, 'f1-score': 0.9621588089330024, 'support': 1592.0}, '1': {'precision': 0.8136363636363636, 'recall': 0.6884615384615385, 'f1-score': 0.7458333333333333, 'support': 260.0}, 'accuracy': 0.9341252699784017, 'macro avg': {'precision': 0.8820020053475935, 'recall': 0.8313538848086587, 'f1-score': 0.8539960711331679, 'support': 1852.0}, 'weighted avg': {'precision': 0.9311721105092341, 'recall': 0.9341252699784017, 'f1-score': 0.931789141732185, 'support': 1852.0}}  |
+| 0.0009        | 42.0  | 4116 | 0.5173          | {'0': {'precision': 0.9469188529591214, 'recall': 0.9748743718592965, 'f1-score': 0.960693283813061, 'support': 1592.0}, '1': {'precision': 0.812206572769953, 'recall': 0.6653846153846154, 'f1-score': 0.7315010570824524, 'support': 260.0}, 'accuracy': 0.9314254859611231, 'macro avg': {'precision': 0.8795627128645371, 'recall': 0.8201294936219559, 'f1-score': 0.8460971704477567, 'support': 1852.0}, 'weighted avg': {'precision': 0.9280067617878558, 'recall': 0.9314254859611231, 'f1-score': 0.9285172692612478, 'support': 1852.0}}   |
+| 0.0009        | 43.0  | 4214 | 0.5039          | {'0': {'precision': 0.9514443761524278, 'recall': 0.9723618090452262, 'f1-score': 0.961789375582479, 'support': 1592.0}, '1': {'precision': 0.8044444444444444, 'recall': 0.6961538461538461, 'f1-score': 0.7463917525773196, 'support': 260.0}, 'accuracy': 0.933585313174946, 'macro avg': {'precision': 0.8779444102984362, 'recall': 0.8342578275995362, 'f1-score': 0.8540905640798993, 'support': 1852.0}, 'weighted avg': {'precision': 0.9308072367117822, 'recall': 0.933585313174946, 'f1-score': 0.9315499684651241, 'support': 1852.0}}    |
+| 0.0009        | 44.0  | 4312 | 0.4986          | {'0': {'precision': 0.952, 'recall': 0.9717336683417085, 'f1-score': 0.9617656201429904, 'support': 1592.0}, '1': {'precision': 0.801762114537445, 'recall': 0.7, 'f1-score': 0.7474332648870636, 'support': 260.0}, 'accuracy': 0.933585313174946, 'macro avg': {'precision': 0.8768810572687225, 'recall': 0.8358668341708542, 'f1-score': 0.854599442515027, 'support': 1852.0}, 'weighted avg': {'precision': 0.9309082882179998, 'recall': 0.933585313174946, 'f1-score': 0.9316757646534974, 'support': 1852.0}}                                 |
+| 0.0009        | 45.0  | 4410 | 0.4987          | {'0': {'precision': 0.9513846153846154, 'recall': 0.9711055276381909, 'f1-score': 0.9611439229095431, 'support': 1592.0}, '1': {'precision': 0.7973568281938326, 'recall': 0.6961538461538461, 'f1-score': 0.7433264887063655, 'support': 260.0}, 'accuracy': 0.9325053995680346, 'macro avg': {'precision': 0.874370721789224, 'recall': 0.8336296868960185, 'f1-score': 0.8522352058079543, 'support': 1852.0}, 'weighted avg': {'precision': 0.9297608439647431, 'recall': 0.9325053995680346, 'f1-score': 0.9305648014771316, 'support': 1852.0}}  |
+| 0.0009        | 46.0  | 4508 | 0.4933          | {'0': {'precision': 0.9524984577421345, 'recall': 0.9698492462311558, 'f1-score': 0.9610955493308434, 'support': 1592.0}, '1': {'precision': 0.7922077922077922, 'recall': 0.7038461538461539, 'f1-score': 0.745417515274949, 'support': 260.0}, 'accuracy': 0.9325053995680346, 'macro avg': {'precision': 0.8723531249749634, 'recall': 0.8368477000386548, 'f1-score': 0.8532565323028962, 'support': 1852.0}, 'weighted avg': {'precision': 0.9299954485418489, 'recall': 0.9325053995680346, 'f1-score': 0.9308167756512902, 'support': 1852.0}}  |
+| 0.0009        | 47.0  | 4606 | 0.4932          | {'0': {'precision': 0.9530864197530864, 'recall': 0.9698492462311558, 'f1-score': 0.9613947696139477, 'support': 1592.0}, '1': {'precision': 0.7931034482758621, 'recall': 0.7076923076923077, 'f1-score': 0.7479674796747967, 'support': 260.0}, 'accuracy': 0.9330453563714903, 'macro avg': {'precision': 0.8730949340144742, 'recall': 0.8387707769617317, 'f1-score': 0.8546811246443722, 'support': 1852.0}, 'weighted avg': {'precision': 0.9306266073426769, 'recall': 0.9330453563714903, 'f1-score': 0.9314319751300496, 'support': 1852.0}} |
+| 0.0009        | 48.0  | 4704 | 0.4988          | {'0': {'precision': 0.9508599508599509, 'recall': 0.9723618090452262, 'f1-score': 0.9614906832298137, 'support': 1592.0}, '1': {'precision': 0.8035714285714286, 'recall': 0.6923076923076923, 'f1-score': 0.743801652892562, 'support': 260.0}, 'accuracy': 0.9330453563714903, 'macro avg': {'precision': 0.8772156897156898, 'recall': 0.8323347506764592, 'f1-score': 0.8526461680611879, 'support': 1852.0}, 'weighted avg': {'precision': 0.9301822965429878, 'recall': 0.9330453563714903, 'f1-score': 0.9309295882580612, 'support': 1852.0}}  |
+| 0.0009        | 49.0  | 4802 | 0.4958          | {'0': {'precision': 0.95079950799508, 'recall': 0.9711055276381909, 'f1-score': 0.9608452454940957, 'support': 1592.0}, '1': {'precision': 0.7964601769911505, 'recall': 0.6923076923076923, 'f1-score': 0.7407407407407407, 'support': 260.0}, 'accuracy': 0.9319654427645788, 'macro avg': {'precision': 0.8736298424931153, 'recall': 0.8317066099729415, 'f1-score': 0.8507929931174182, 'support': 1852.0}, 'weighted avg': {'precision': 0.9291319993228221, 'recall': 0.9319654427645788, 'f1-score': 0.9299450450427608, 'support': 1852.0}}   |
+| 0.0009        | 50.0  | 4900 | 0.4963          | {'0': {'precision': 0.9531153608883405, 'recall': 0.9704773869346733, 'f1-score': 0.96171802054155, 'support': 1592.0}, '1': {'precision': 0.7965367965367965, 'recall': 0.7076923076923077, 'f1-score': 0.7494908350305499, 'support': 260.0}, 'accuracy': 0.933585313174946, 'macro avg': {'precision': 0.8748260787125686, 'recall': 0.8390848473134905, 'f1-score': 0.85560442778605, 'support': 1852.0}, 'weighted avg': {'precision': 0.9311334890031345, 'recall': 0.933585313174946, 'f1-score': 0.9319237072408696, 'support': 1852.0}}       |
 
 
 ### Framework versions