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: 0.2290
-- Classification Report: {'0': {'precision': 0.9048991354466859, 'recall': 0.9861809045226131, 'f1-score': 0.9437932070934776, 'support': 1592.0}, '1': {'precision': 0.811965811965812, 'recall': 0.36538461538461536, 'f1-score': 0.5039787798408488, 'support': 260.0}, 'accuracy': 0.8990280777537797, 'macro avg': {'precision': 0.858432473706249, 'recall': 0.6757827599536143, 'f1-score': 0.7238859934671632, 'support': 1852.0}, 'weighted avg': {'precision': 0.891852340573561, 'recall': 0.8990280777537797, 'f1-score': 0.8820482011076873, 'support': 1852.0}}
+- Loss: 0.4786
+- Classification Report: {'0': {'precision': 0.9535891089108911, 'recall': 0.967964824120603, 'f1-score': 0.9607231920199502, 'support': 1592.0}, '1': {'precision': 0.7838983050847458, 'recall': 0.7115384615384616, 'f1-score': 0.7459677419354839, 'support': 260.0}, 'accuracy': 0.9319654427645788, 'macro avg': {'precision': 0.8687437069978184, 'recall': 0.8397516428295323, 'f1-score': 0.853345466977717, 'support': 1852.0}, 'weighted avg': {'precision': 0.9297664258683436, 'recall': 0.9319654427645788, 'f1-score': 0.9305739387683513, 'support': 1852.0}}
 
 ## Model description
 
@@ -37,23 +37,71 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-06
-- train_batch_size: 22
-- eval_batch_size: 22
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - distributed_type: multi-GPU
 - num_devices: 4
-- total_train_batch_size: 88
-- total_eval_batch_size: 88
+- total_train_batch_size: 64
+- total_eval_batch_size: 64
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 50
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Classification Report                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |
 |:-------------:|:-----:|:----:|:---------------:|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
-| No log        | 1.0   | 71   | 0.2510          | {'0': {'precision': 0.8783185840707964, 'recall': 0.9974874371859297, 'f1-score': 0.9341176470588235, 'support': 1592.0}, '1': {'precision': 0.9090909090909091, 'recall': 0.15384615384615385, 'f1-score': 0.2631578947368421, 'support': 260.0}, 'accuracy': 0.8790496760259179, 'macro avg': {'precision': 0.8937047465808527, 'recall': 0.5756667955160417, 'f1-score': 0.5986377708978328, 'support': 1852.0}, 'weighted avg': {'precision': 0.8826386728965142, 'recall': 0.8790496760259179, 'f1-score': 0.839922433449906, 'support': 1852.0}} |
-| No log        | 2.0   | 142  | 0.2290          | {'0': {'precision': 0.9048991354466859, 'recall': 0.9861809045226131, 'f1-score': 0.9437932070934776, 'support': 1592.0}, '1': {'precision': 0.811965811965812, 'recall': 0.36538461538461536, 'f1-score': 0.5039787798408488, 'support': 260.0}, 'accuracy': 0.8990280777537797, 'macro avg': {'precision': 0.858432473706249, 'recall': 0.6757827599536143, 'f1-score': 0.7238859934671632, 'support': 1852.0}, 'weighted avg': {'precision': 0.891852340573561, 'recall': 0.8990280777537797, 'f1-score': 0.8820482011076873, 'support': 1852.0}}   |
+| No log        | 1.0   | 98   | 0.2359          | {'0': {'precision': 0.9440559440559441, 'recall': 0.9327889447236181, 'f1-score': 0.9383886255924171, 'support': 1592.0}, '1': {'precision': 0.6164874551971327, 'recall': 0.6615384615384615, 'f1-score': 0.6382189239332097, 'support': 260.0}, 'accuracy': 0.8947084233261339, 'macro avg': {'precision': 0.7802716996265384, 'recall': 0.7971637031310398, 'f1-score': 0.7883037747628134, 'support': 1852.0}, 'weighted avg': {'precision': 0.8980690071751175, 'recall': 0.8947084233261339, 'f1-score': 0.8962481707158545, 'support': 1852.0}} |
+| No log        | 2.0   | 196  | 0.1896          | {'0': {'precision': 0.9290360733293909, 'recall': 0.9868090452261307, 'f1-score': 0.9570514773073409, 'support': 1592.0}, '1': {'precision': 0.8695652173913043, 'recall': 0.5384615384615384, 'f1-score': 0.665083135391924, 'support': 260.0}, 'accuracy': 0.923866090712743, 'macro avg': {'precision': 0.8993006453603476, 'recall': 0.7626352918438346, 'f1-score': 0.8110673063496324, 'support': 1852.0}, 'weighted avg': {'precision': 0.9206870330789036, 'recall': 0.923866090712743, 'f1-score': 0.9160624012285026, 'support': 1852.0}}    |
+| No log        | 3.0   | 294  | 0.1765          | {'0': {'precision': 0.9428223844282239, 'recall': 0.9736180904522613, 'f1-score': 0.957972805933251, 'support': 1592.0}, '1': {'precision': 0.7980769230769231, 'recall': 0.6384615384615384, 'f1-score': 0.7094017094017094, 'support': 260.0}, 'accuracy': 0.9265658747300216, 'macro avg': {'precision': 0.8704496537525734, 'recall': 0.8060398144568999, 'f1-score': 0.8336872576674802, 'support': 1852.0}, 'weighted avg': {'precision': 0.922501747305471, 'recall': 0.9265658747300216, 'f1-score': 0.9230762157074406, 'support': 1852.0}}   |
+| No log        | 4.0   | 392  | 0.1824          | {'0': {'precision': 0.9603072983354674, 'recall': 0.9422110552763819, 'f1-score': 0.9511731135066582, 'support': 1592.0}, '1': {'precision': 0.6827586206896552, 'recall': 0.7615384615384615, 'f1-score': 0.72, 'support': 260.0}, 'accuracy': 0.9168466522678186, 'macro avg': {'precision': 0.8215329595125613, 'recall': 0.8518747584074218, 'f1-score': 0.8355865567533292, 'support': 1852.0}, 'weighted avg': {'precision': 0.9213425811713684, 'recall': 0.9168466522678186, 'f1-score': 0.918719004699028, 'support': 1852.0}}                |
+| No log        | 5.0   | 490  | 0.1768          | {'0': {'precision': 0.9394484412470024, 'recall': 0.9842964824120602, 'f1-score': 0.9613496932515337, 'support': 1592.0}, '1': {'precision': 0.8641304347826086, 'recall': 0.6115384615384616, 'f1-score': 0.7162162162162162, 'support': 260.0}, 'accuracy': 0.9319654427645788, 'macro avg': {'precision': 0.9017894380148055, 'recall': 0.7979174719752609, 'f1-score': 0.838782954733875, 'support': 1852.0}, 'weighted avg': {'precision': 0.9288746390435779, 'recall': 0.9319654427645788, 'f1-score': 0.9269357061947396, 'support': 1852.0}}  |
+| 0.2073        | 6.0   | 588  | 0.2793          | {'0': {'precision': 0.9758787043418332, 'recall': 0.8894472361809045, 'f1-score': 0.9306605323693723, 'support': 1592.0}, '1': {'precision': 0.5610972568578554, 'recall': 0.8653846153846154, 'f1-score': 0.680786686838124, 'support': 260.0}, 'accuracy': 0.8860691144708424, 'macro avg': {'precision': 0.7684879805998444, 'recall': 0.87741592578276, 'f1-score': 0.8057236096037481, 'support': 1852.0}, 'weighted avg': {'precision': 0.9176480475676246, 'recall': 0.8860691144708424, 'f1-score': 0.8955810508153094, 'support': 1852.0}}    |
+| 0.2073        | 7.0   | 686  | 0.2299          | {'0': {'precision': 0.9685863874345549, 'recall': 0.9296482412060302, 'f1-score': 0.9487179487179487, 'support': 1592.0}, '1': {'precision': 0.654320987654321, 'recall': 0.8153846153846154, 'f1-score': 0.726027397260274, 'support': 260.0}, 'accuracy': 0.9136069114470843, 'macro avg': {'precision': 0.811453687544438, 'recall': 0.8725164282953228, 'f1-score': 0.8373726729891113, 'support': 1852.0}, 'weighted avg': {'precision': 0.9244670548520169, 'recall': 0.9136069114470843, 'f1-score': 0.9174546963534803, 'support': 1852.0}}    |
+| 0.2073        | 8.0   | 784  | 0.2859          | {'0': {'precision': 0.935445307830245, 'recall': 0.9830402010050251, 'f1-score': 0.9586523736600306, 'support': 1592.0}, '1': {'precision': 0.8491620111731844, 'recall': 0.5846153846153846, 'f1-score': 0.6924829157175398, 'support': 260.0}, 'accuracy': 0.9271058315334774, 'macro avg': {'precision': 0.8923036595017146, 'recall': 0.7838277928102049, 'f1-score': 0.8255676446887852, 'support': 1852.0}, 'weighted avg': {'precision': 0.9233321020360573, 'recall': 0.9271058315334774, 'f1-score': 0.9212851711411064, 'support': 1852.0}}  |
+| 0.2073        | 9.0   | 882  | 0.3000          | {'0': {'precision': 0.94, 'recall': 0.9742462311557789, 'f1-score': 0.9568167797655768, 'support': 1592.0}, '1': {'precision': 0.7970297029702971, 'recall': 0.6192307692307693, 'f1-score': 0.696969696969697, 'support': 260.0}, 'accuracy': 0.9244060475161987, 'macro avg': {'precision': 0.8685148514851485, 'recall': 0.7967385001932741, 'f1-score': 0.8268932383676368, 'support': 1852.0}, 'weighted avg': {'precision': 0.9199285760109489, 'recall': 0.9244060475161987, 'f1-score': 0.9203371677099997, 'support': 1852.0}}                |
+| 0.2073        | 10.0  | 980  | 0.3904          | {'0': {'precision': 0.9367541766109785, 'recall': 0.9861809045226131, 'f1-score': 0.9608323133414932, 'support': 1592.0}, '1': {'precision': 0.875, 'recall': 0.5923076923076923, 'f1-score': 0.7064220183486238, 'support': 260.0}, 'accuracy': 0.9308855291576674, 'macro avg': {'precision': 0.9058770883054892, 'recall': 0.7892442984151526, 'f1-score': 0.8336271658450585, 'support': 1852.0}, 'weighted avg': {'precision': 0.9280845837822235, 'recall': 0.9308855291576674, 'f1-score': 0.9251159652323431, 'support': 1852.0}}              |
+| 0.0548        | 11.0  | 1078 | 0.4185          | {'0': {'precision': 0.9549718574108818, 'recall': 0.9591708542713567, 'f1-score': 0.9570667502350361, 'support': 1592.0}, '1': {'precision': 0.7430830039525692, 'recall': 0.7230769230769231, 'f1-score': 0.732943469785575, 'support': 260.0}, 'accuracy': 0.9260259179265659, 'macro avg': {'precision': 0.8490274306817255, 'recall': 0.8411238886741399, 'f1-score': 0.8450051100103055, 'support': 1852.0}, 'weighted avg': {'precision': 0.9252250421305571, 'recall': 0.9260259179265659, 'f1-score': 0.9256023588112456, 'support': 1852.0}}  |
+| 0.0548        | 12.0  | 1176 | 0.3866          | {'0': {'precision': 0.9552238805970149, 'recall': 0.964824120603015, 'f1-score': 0.96, 'support': 1592.0}, '1': {'precision': 0.7704918032786885, 'recall': 0.7230769230769231, 'f1-score': 0.746031746031746, 'support': 260.0}, 'accuracy': 0.9308855291576674, 'macro avg': {'precision': 0.8628578419378516, 'recall': 0.843950521839969, 'f1-score': 0.853015873015873, 'support': 1852.0}, 'weighted avg': {'precision': 0.9292895716862347, 'recall': 0.9308855291576674, 'f1-score': 0.9299612602420377, 'support': 1852.0}}                   |
+| 0.0548        | 13.0  | 1274 | 0.4130          | {'0': {'precision': 0.9534739454094293, 'recall': 0.9654522613065326, 'f1-score': 0.9594257178526842, 'support': 1592.0}, '1': {'precision': 0.7708333333333334, 'recall': 0.7115384615384616, 'f1-score': 0.74, 'support': 260.0}, 'accuracy': 0.9298056155507559, 'macro avg': {'precision': 0.8621536393713813, 'recall': 0.838495361422497, 'f1-score': 0.8497128589263421, 'support': 1852.0}, 'weighted avg': {'precision': 0.9278332547291999, 'recall': 0.9298056155507559, 'f1-score': 0.9286208114586789, 'support': 1852.0}}                |
+| 0.0548        | 14.0  | 1372 | 0.5129          | {'0': {'precision': 0.9303834808259587, 'recall': 0.9905778894472361, 'f1-score': 0.9595375722543352, 'support': 1592.0}, '1': {'precision': 0.9044585987261147, 'recall': 0.5461538461538461, 'f1-score': 0.6810551558752997, 'support': 260.0}, 'accuracy': 0.9281857451403888, 'macro avg': {'precision': 0.9174210397760367, 'recall': 0.7683658678005412, 'f1-score': 0.8202963640648175, 'support': 1852.0}, 'weighted avg': {'precision': 0.9267439185441231, 'recall': 0.9281857451403888, 'f1-score': 0.9204417686590063, 'support': 1852.0}} |
+| 0.0548        | 15.0  | 1470 | 0.4005          | {'0': {'precision': 0.95457373988799, 'recall': 0.9635678391959799, 'f1-score': 0.9590497030321976, 'support': 1592.0}, '1': {'precision': 0.763265306122449, 'recall': 0.7192307692307692, 'f1-score': 0.7405940594059406, 'support': 260.0}, 'accuracy': 0.9292656587473002, 'macro avg': {'precision': 0.8589195230052196, 'recall': 0.8413993042133745, 'f1-score': 0.8498218812190691, 'support': 1852.0}, 'weighted avg': {'precision': 0.9277161843917477, 'recall': 0.9292656587473002, 'f1-score': 0.9283809841645806, 'support': 1852.0}}    |
+| 0.003         | 16.0  | 1568 | 0.5048          | {'0': {'precision': 0.9322235434007135, 'recall': 0.9849246231155779, 'f1-score': 0.9578497251069029, 'support': 1592.0}, '1': {'precision': 0.8588235294117647, 'recall': 0.5615384615384615, 'f1-score': 0.6790697674418604, 'support': 260.0}, 'accuracy': 0.9254859611231101, 'macro avg': {'precision': 0.895523536406239, 'recall': 0.7732315423270197, 'f1-score': 0.8184597462743817, 'support': 1852.0}, 'weighted avg': {'precision': 0.9219190057996731, 'recall': 0.9254859611231101, 'f1-score': 0.918712150056735, 'support': 1852.0}}   |
+| 0.003         | 17.0  | 1666 | 0.4534          | {'0': {'precision': 0.9518815545959285, 'recall': 0.9692211055276382, 'f1-score': 0.9604730781201369, 'support': 1592.0}, '1': {'precision': 0.7878787878787878, 'recall': 0.7, 'f1-score': 0.7413441955193483, 'support': 260.0}, 'accuracy': 0.9314254859611231, 'macro avg': {'precision': 0.8698801712373582, 'recall': 0.834610552763819, 'f1-score': 0.8509086368197426, 'support': 1852.0}, 'weighted avg': {'precision': 0.9288574080805632, 'recall': 0.9314254859611231, 'f1-score': 0.9297098440617109, 'support': 1852.0}}                 |
+| 0.003         | 18.0  | 1764 | 0.4357          | {'0': {'precision': 0.9582294264339152, 'recall': 0.9654522613065326, 'f1-score': 0.9618272841051314, 'support': 1592.0}, '1': {'precision': 0.7782258064516129, 'recall': 0.7423076923076923, 'f1-score': 0.7598425196850394, 'support': 260.0}, 'accuracy': 0.9341252699784017, 'macro avg': {'precision': 0.868227616442764, 'recall': 0.8538799768071125, 'f1-score': 0.8608349018950854, 'support': 1852.0}, 'weighted avg': {'precision': 0.9329589398273284, 'recall': 0.9341252699784017, 'f1-score': 0.9334708916919435, 'support': 1852.0}}  |
+| 0.003         | 19.0  | 1862 | 0.4666          | {'0': {'precision': 0.9547427154370738, 'recall': 0.9673366834170855, 'f1-score': 0.9609984399375975, 'support': 1592.0}, '1': {'precision': 0.7824267782426778, 'recall': 0.7192307692307692, 'f1-score': 0.749498997995992, 'support': 260.0}, 'accuracy': 0.9325053995680346, 'macro avg': {'precision': 0.8685847468398757, 'recall': 0.8432837263239273, 'f1-score': 0.8552487189667948, 'support': 1852.0}, 'weighted avg': {'precision': 0.9305514931527633, 'recall': 0.9325053995680346, 'f1-score': 0.9313062936606982, 'support': 1852.0}}  |
+| 0.003         | 20.0  | 1960 | 0.4770          | {'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}}  |
+| 0.0014        | 21.0  | 2058 | 0.4444          | {'0': {'precision': 0.9547987616099072, 'recall': 0.9685929648241206, 'f1-score': 0.961646398503274, 'support': 1592.0}, '1': {'precision': 0.7890295358649789, 'recall': 0.7192307692307692, 'f1-score': 0.7525150905432596, 'support': 260.0}, 'accuracy': 0.933585313174946, 'macro avg': {'precision': 0.8719141487374431, 'recall': 0.8439118670274449, 'f1-score': 0.8570807445232669, 'support': 1852.0}, 'weighted avg': {'precision': 0.931526624086321, 'recall': 0.933585313174946, 'f1-score': 0.932286711640637, 'support': 1852.0}}      |
+| 0.0014        | 22.0  | 2156 | 0.4328          | {'0': {'precision': 0.9524691358024692, 'recall': 0.9692211055276382, 'f1-score': 0.960772104607721, 'support': 1592.0}, '1': {'precision': 0.7887931034482759, 'recall': 0.7038461538461539, 'f1-score': 0.7439024390243902, 'support': 260.0}, 'accuracy': 0.9319654427645788, 'macro avg': {'precision': 0.8706311196253725, 'recall': 0.836533629686896, 'f1-score': 0.8523372718160556, 'support': 1852.0}, 'weighted avg': {'precision': 0.9294908591220749, 'recall': 0.9319654427645788, 'f1-score': 0.9303260392450504, 'support': 1852.0}}   |
+| 0.0014        | 23.0  | 2254 | 0.4540          | {'0': {'precision': 0.952088452088452, 'recall': 0.9736180904522613, 'f1-score': 0.9627329192546584, 'support': 1592.0}, '1': {'precision': 0.8125, 'recall': 0.7, 'f1-score': 0.7520661157024794, 'support': 260.0}, 'accuracy': 0.9352051835853131, 'macro avg': {'precision': 0.882294226044226, 'recall': 0.8368090452261306, 'f1-score': 0.8573995174785689, 'support': 1852.0}, 'weighted avg': {'precision': 0.9324918011473087, 'recall': 0.9352051835853131, 'f1-score': 0.9331576660561884, 'support': 1852.0}}                              |
+| 0.0014        | 24.0  | 2352 | 0.4670          | {'0': {'precision': 0.9515039901780233, 'recall': 0.9736180904522613, 'f1-score': 0.9624340266997827, 'support': 1592.0}, '1': {'precision': 0.8116591928251121, 'recall': 0.6961538461538461, 'f1-score': 0.7494824016563147, 'support': 260.0}, 'accuracy': 0.9346652267818575, 'macro avg': {'precision': 0.8815815915015677, 'recall': 0.8348859683030537, 'f1-score': 0.8559582141780487, 'support': 1852.0}, 'weighted avg': {'precision': 0.9318713512407896, 'recall': 0.9346652267818575, 'f1-score': 0.9325380102249978, 'support': 1852.0}} |
+| 0.0014        | 25.0  | 2450 | 0.4754          | {'0': {'precision': 0.9515039901780233, 'recall': 0.9736180904522613, 'f1-score': 0.9624340266997827, 'support': 1592.0}, '1': {'precision': 0.8116591928251121, 'recall': 0.6961538461538461, 'f1-score': 0.7494824016563147, 'support': 260.0}, 'accuracy': 0.9346652267818575, 'macro avg': {'precision': 0.8815815915015677, 'recall': 0.8348859683030537, 'f1-score': 0.8559582141780487, 'support': 1852.0}, 'weighted avg': {'precision': 0.9318713512407896, 'recall': 0.9346652267818575, 'f1-score': 0.9325380102249978, 'support': 1852.0}} |
+| 0.001         | 26.0  | 2548 | 0.4471          | {'0': {'precision': 0.9554455445544554, 'recall': 0.9698492462311558, 'f1-score': 0.9625935162094763, 'support': 1592.0}, '1': {'precision': 0.7966101694915254, 'recall': 0.7230769230769231, 'f1-score': 0.7580645161290323, 'support': 260.0}, 'accuracy': 0.9352051835853131, 'macro avg': {'precision': 0.8760278570229905, 'recall': 0.8464630846540394, 'f1-score': 0.8603290161692543, 'support': 1852.0}, 'weighted avg': {'precision': 0.933146841791841, 'recall': 0.9352051835853131, 'f1-score': 0.9338799416841439, 'support': 1852.0}}  |
+| 0.001         | 27.0  | 2646 | 0.4709          | {'0': {'precision': 0.9536751080914144, 'recall': 0.9698492462311558, 'f1-score': 0.961694176269075, 'support': 1592.0}, '1': {'precision': 0.7939914163090128, 'recall': 0.7115384615384616, 'f1-score': 0.7505070993914807, 'support': 260.0}, 'accuracy': 0.933585313174946, 'macro avg': {'precision': 0.8738332622002136, 'recall': 0.8406938538848087, 'f1-score': 0.8561006378302779, 'support': 1852.0}, 'weighted avg': {'precision': 0.9312573111889174, 'recall': 0.933585313174946, 'f1-score': 0.9320458825389591, 'support': 1852.0}}    |
+| 0.001         | 28.0  | 2744 | 0.5004          | {'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         | 29.0  | 2842 | 0.4673          | {'0': {'precision': 0.9525569932224276, 'recall': 0.9711055276381909, 'f1-score': 0.9617418351477449, 'support': 1592.0}, '1': {'precision': 0.7991266375545851, 'recall': 0.7038461538461539, 'f1-score': 0.7484662576687117, 'support': 260.0}, 'accuracy': 0.933585313174946, 'macro avg': {'precision': 0.8758418153885064, 'recall': 0.8374758407421724, 'f1-score': 0.8551040464082282, 'support': 1852.0}, 'weighted avg': {'precision': 0.9310170944785621, 'recall': 0.933585313174946, 'f1-score': 0.9318003393893494, 'support': 1852.0}}   |
+| 0.001         | 30.0  | 2940 | 0.4607          | {'0': {'precision': 0.9548267326732673, 'recall': 0.9692211055276382, 'f1-score': 0.9619700748129676, 'support': 1592.0}, '1': {'precision': 0.7923728813559322, 'recall': 0.7192307692307692, 'f1-score': 0.7540322580645161, 'support': 260.0}, 'accuracy': 0.9341252699784017, 'macro avg': {'precision': 0.8735998070145998, 'recall': 0.8442259373792037, 'f1-score': 0.8580011664387419, 'support': 1852.0}, 'weighted avg': {'precision': 0.9320200364840086, 'recall': 0.9341252699784017, 'f1-score': 0.9327779407122131, 'support': 1852.0}} |
+| 0.0012        | 31.0  | 3038 | 0.4783          | {'0': {'precision': 0.9514742014742015, 'recall': 0.9729899497487438, 'f1-score': 0.962111801242236, 'support': 1592.0}, '1': {'precision': 0.8080357142857143, 'recall': 0.6961538461538461, 'f1-score': 0.7479338842975206, 'support': 260.0}, 'accuracy': 0.9341252699784017, 'macro avg': {'precision': 0.8797549578799579, 'recall': 0.8345718979512949, 'f1-score': 0.8550228427698783, 'support': 1852.0}, 'weighted avg': {'precision': 0.9313370488451482, 'recall': 0.9341252699784017, 'f1-score': 0.9320436271571249, 'support': 1852.0}}  |
+| 0.0012        | 32.0  | 3136 | 0.4648          | {'0': {'precision': 0.955955334987593, 'recall': 0.967964824120603, 'f1-score': 0.9619225967540574, 'support': 1592.0}, '1': {'precision': 0.7875, 'recall': 0.7269230769230769, 'f1-score': 0.756, 'support': 260.0}, 'accuracy': 0.9341252699784017, 'macro avg': {'precision': 0.8717276674937965, 'recall': 0.84744395052184, 'f1-score': 0.8589612983770287, 'support': 1852.0}, 'weighted avg': {'precision': 0.9323060978943024, 'recall': 0.9341252699784017, 'f1-score': 0.9330133769073754, 'support': 1852.0}}                              |
+| 0.0012        | 33.0  | 3234 | 0.4813          | {'0': {'precision': 0.9525862068965517, 'recall': 0.9717336683417085, 'f1-score': 0.9620646766169154, 'support': 1592.0}, '1': {'precision': 0.8026315789473685, 'recall': 0.7038461538461539, 'f1-score': 0.75, 'support': 260.0}, 'accuracy': 0.9341252699784017, 'macro avg': {'precision': 0.8776088929219601, 'recall': 0.8377899110939312, 'f1-score': 0.8560323383084577, 'support': 1852.0}, 'weighted avg': {'precision': 0.931534261288135, 'recall': 0.9341252699784017, 'f1-score': 0.9322931777398107, 'support': 1852.0}}                |
+| 0.0012        | 34.0  | 3332 | 0.4744          | {'0': {'precision': 0.9525569932224276, 'recall': 0.9711055276381909, 'f1-score': 0.9617418351477449, 'support': 1592.0}, '1': {'precision': 0.7991266375545851, 'recall': 0.7038461538461539, 'f1-score': 0.7484662576687117, 'support': 260.0}, 'accuracy': 0.933585313174946, 'macro avg': {'precision': 0.8758418153885064, 'recall': 0.8374758407421724, 'f1-score': 0.8551040464082282, 'support': 1852.0}, 'weighted avg': {'precision': 0.9310170944785621, 'recall': 0.933585313174946, 'f1-score': 0.9318003393893494, 'support': 1852.0}}   |
+| 0.0012        | 35.0  | 3430 | 0.4952          | {'0': {'precision': 0.9521472392638037, 'recall': 0.9748743718592965, 'f1-score': 0.9633767846058349, 'support': 1592.0}, '1': {'precision': 0.8198198198198198, 'recall': 0.7, 'f1-score': 0.7551867219917012, 'support': 260.0}, 'accuracy': 0.9362850971922246, 'macro avg': {'precision': 0.8859835295418117, 'recall': 0.8374371859296482, 'f1-score': 0.859281753298768, 'support': 1852.0}, 'weighted avg': {'precision': 0.933569955756549, 'recall': 0.9362850971922246, 'f1-score': 0.9341492380185376, 'support': 1852.0}}                  |
+| 0.001         | 36.0  | 3528 | 0.4871          | {'0': {'precision': 0.9526153846153846, 'recall': 0.9723618090452262, 'f1-score': 0.9623873173764377, 'support': 1592.0}, '1': {'precision': 0.8061674008810573, 'recall': 0.7038461538461539, 'f1-score': 0.7515400410677618, 'support': 260.0}, 'accuracy': 0.9346652267818575, 'macro avg': {'precision': 0.879391392748221, 'recall': 0.8381039814456901, 'f1-score': 0.8569636792220998, 'support': 1852.0}, 'weighted avg': {'precision': 0.9320557324712566, 'recall': 0.9346652267818575, 'f1-score': 0.9327867278298633, 'support': 1852.0}}  |
+| 0.001         | 37.0  | 3626 | 0.4829          | {'0': {'precision': 0.9547987616099072, 'recall': 0.9685929648241206, 'f1-score': 0.961646398503274, 'support': 1592.0}, '1': {'precision': 0.7890295358649789, 'recall': 0.7192307692307692, 'f1-score': 0.7525150905432596, 'support': 260.0}, 'accuracy': 0.933585313174946, 'macro avg': {'precision': 0.8719141487374431, 'recall': 0.8439118670274449, 'f1-score': 0.8570807445232669, 'support': 1852.0}, 'weighted avg': {'precision': 0.931526624086321, 'recall': 0.933585313174946, 'f1-score': 0.932286711640637, 'support': 1852.0}}      |
+| 0.001         | 38.0  | 3724 | 0.4724          | {'0': {'precision': 0.9535603715170279, 'recall': 0.9673366834170855, 'f1-score': 0.9603991269098846, 'support': 1592.0}, '1': {'precision': 0.7805907172995781, 'recall': 0.7115384615384616, 'f1-score': 0.744466800804829, 'support': 260.0}, 'accuracy': 0.9314254859611231, 'macro avg': {'precision': 0.8670755444083029, 'recall': 0.8394375724777735, 'f1-score': 0.8524329638573568, 'support': 1852.0}, 'weighted avg': {'precision': 0.9292773747046429, 'recall': 0.9314254859611231, 'f1-score': 0.9300846534826089, 'support': 1852.0}}  |
+| 0.001         | 39.0  | 3822 | 0.4761          | {'0': {'precision': 0.9524691358024692, 'recall': 0.9692211055276382, 'f1-score': 0.960772104607721, 'support': 1592.0}, '1': {'precision': 0.7887931034482759, 'recall': 0.7038461538461539, 'f1-score': 0.7439024390243902, 'support': 260.0}, 'accuracy': 0.9319654427645788, 'macro avg': {'precision': 0.8706311196253725, 'recall': 0.836533629686896, 'f1-score': 0.8523372718160556, 'support': 1852.0}, 'weighted avg': {'precision': 0.9294908591220749, 'recall': 0.9319654427645788, 'f1-score': 0.9303260392450504, 'support': 1852.0}}   |
+| 0.001         | 40.0  | 3920 | 0.4787          | {'0': {'precision': 0.9524691358024692, 'recall': 0.9692211055276382, 'f1-score': 0.960772104607721, 'support': 1592.0}, '1': {'precision': 0.7887931034482759, 'recall': 0.7038461538461539, 'f1-score': 0.7439024390243902, 'support': 260.0}, 'accuracy': 0.9319654427645788, 'macro avg': {'precision': 0.8706311196253725, 'recall': 0.836533629686896, 'f1-score': 0.8523372718160556, 'support': 1852.0}, 'weighted avg': {'precision': 0.9294908591220749, 'recall': 0.9319654427645788, 'f1-score': 0.9303260392450504, 'support': 1852.0}}   |
+| 0.0009        | 41.0  | 4018 | 0.4856          | {'0': {'precision': 0.9521178637200737, 'recall': 0.9742462311557789, 'f1-score': 0.9630549518782987, 'support': 1592.0}, '1': {'precision': 0.8161434977578476, 'recall': 0.7, 'f1-score': 0.7536231884057971, 'support': 260.0}, 'accuracy': 0.9357451403887689, 'macro avg': {'precision': 0.8841306807389606, 'recall': 0.8371231155778894, 'f1-score': 0.8583390701420479, 'support': 1852.0}, 'weighted avg': {'precision': 0.9330285898808842, 'recall': 0.9357451403887689, 'f1-score': 0.9336530844361548, 'support': 1852.0}}                |
+| 0.0009        | 42.0  | 4116 | 0.4906          | {'0': {'precision': 0.952088452088452, 'recall': 0.9736180904522613, 'f1-score': 0.9627329192546584, 'support': 1592.0}, '1': {'precision': 0.8125, 'recall': 0.7, 'f1-score': 0.7520661157024794, 'support': 260.0}, 'accuracy': 0.9352051835853131, 'macro avg': {'precision': 0.882294226044226, 'recall': 0.8368090452261306, 'f1-score': 0.8573995174785689, 'support': 1852.0}, 'weighted avg': {'precision': 0.9324918011473087, 'recall': 0.9352051835853131, 'f1-score': 0.9331576660561884, 'support': 1852.0}}                              |
+| 0.0009        | 43.0  | 4214 | 0.4802          | {'0': {'precision': 0.9524691358024692, 'recall': 0.9692211055276382, 'f1-score': 0.960772104607721, 'support': 1592.0}, '1': {'precision': 0.7887931034482759, 'recall': 0.7038461538461539, 'f1-score': 0.7439024390243902, 'support': 260.0}, 'accuracy': 0.9319654427645788, 'macro avg': {'precision': 0.8706311196253725, 'recall': 0.836533629686896, 'f1-score': 0.8523372718160556, 'support': 1852.0}, 'weighted avg': {'precision': 0.9294908591220749, 'recall': 0.9319654427645788, 'f1-score': 0.9303260392450504, 'support': 1852.0}}   |
+| 0.0009        | 44.0  | 4312 | 0.4799          | {'0': {'precision': 0.9535315985130112, 'recall': 0.9667085427135679, 'f1-score': 0.9600748596381784, 'support': 1592.0}, '1': {'precision': 0.7773109243697479, 'recall': 0.7115384615384616, 'f1-score': 0.7429718875502008, 'support': 260.0}, 'accuracy': 0.9308855291576674, 'macro avg': {'precision': 0.8654212614413795, 'recall': 0.8391235021260147, 'f1-score': 0.8515233735941896, 'support': 1852.0}, 'weighted avg': {'precision': 0.9287921950155769, 'recall': 0.9308855291576674, 'f1-score': 0.9295960406625444, 'support': 1852.0}} |
+| 0.0009        | 45.0  | 4410 | 0.4816          | {'0': {'precision': 0.9540942928039702, 'recall': 0.9660804020100503, 'f1-score': 0.9600499375780275, 'support': 1592.0}, '1': {'precision': 0.775, 'recall': 0.7153846153846154, 'f1-score': 0.744, 'support': 260.0}, 'accuracy': 0.9308855291576674, 'macro avg': {'precision': 0.8645471464019852, 'recall': 0.8407325086973328, 'f1-score': 0.8520249687890138, 'support': 1852.0}, 'weighted avg': {'precision': 0.9289514655204755, 'recall': 0.9308855291576674, 'f1-score': 0.929718952820853, 'support': 1852.0}}                            |
+| 0.0009        | 46.0  | 4508 | 0.4773          | {'0': {'precision': 0.9564676616915423, 'recall': 0.9660804020100503, 'f1-score': 0.96125, 'support': 1592.0}, '1': {'precision': 0.7786885245901639, 'recall': 0.7307692307692307, 'f1-score': 0.753968253968254, 'support': 260.0}, 'accuracy': 0.9330453563714903, 'macro avg': {'precision': 0.8675780931408531, 'recall': 0.8484248163896405, 'f1-score': 0.8576091269841271, 'support': 1852.0}, 'weighted avg': {'precision': 0.9315094674980442, 'recall': 0.9330453563714903, 'f1-score': 0.9321499708594742, 'support': 1852.0}}             |
+| 0.0009        | 47.0  | 4606 | 0.4775          | {'0': {'precision': 0.9547146401985112, 'recall': 0.9667085427135679, 'f1-score': 0.9606741573033708, 'support': 1592.0}, '1': {'precision': 0.7791666666666667, 'recall': 0.7192307692307692, 'f1-score': 0.748, 'support': 260.0}, 'accuracy': 0.9319654427645788, 'macro avg': {'precision': 0.866940653432589, 'recall': 0.8429696559721686, 'f1-score': 0.8543370786516854, 'support': 1852.0}, 'weighted avg': {'precision': 0.9300696763117511, 'recall': 0.9319654427645788, 'f1-score': 0.9308170941830272, 'support': 1852.0}}               |
+| 0.0009        | 48.0  | 4704 | 0.4807          | {'0': {'precision': 0.9529702970297029, 'recall': 0.9673366834170855, 'f1-score': 0.9600997506234414, 'support': 1592.0}, '1': {'precision': 0.7796610169491526, 'recall': 0.7076923076923077, 'f1-score': 0.7419354838709677, 'support': 260.0}, 'accuracy': 0.9308855291576674, 'macro avg': {'precision': 0.8663156569894277, 'recall': 0.8375144955546966, 'f1-score': 0.8510176172472046, 'support': 1852.0}, 'weighted avg': {'precision': 0.9286396205605111, 'recall': 0.9308855291576674, 'f1-score': 0.9294719377964203, 'support': 1852.0}} |
+| 0.0009        | 49.0  | 4802 | 0.4808          | {'0': {'precision': 0.9535603715170279, 'recall': 0.9673366834170855, 'f1-score': 0.9603991269098846, 'support': 1592.0}, '1': {'precision': 0.7805907172995781, 'recall': 0.7115384615384616, 'f1-score': 0.744466800804829, 'support': 260.0}, 'accuracy': 0.9314254859611231, 'macro avg': {'precision': 0.8670755444083029, 'recall': 0.8394375724777735, 'f1-score': 0.8524329638573568, 'support': 1852.0}, 'weighted avg': {'precision': 0.9292773747046429, 'recall': 0.9314254859611231, 'f1-score': 0.9300846534826089, 'support': 1852.0}}  |
+| 0.0009        | 50.0  | 4900 | 0.4786          | {'0': {'precision': 0.9535891089108911, 'recall': 0.967964824120603, 'f1-score': 0.9607231920199502, 'support': 1592.0}, '1': {'precision': 0.7838983050847458, 'recall': 0.7115384615384616, 'f1-score': 0.7459677419354839, 'support': 260.0}, 'accuracy': 0.9319654427645788, 'macro avg': {'precision': 0.8687437069978184, 'recall': 0.8397516428295323, 'f1-score': 0.853345466977717, 'support': 1852.0}, 'weighted avg': {'precision': 0.9297664258683436, 'recall': 0.9319654427645788, 'f1-score': 0.9305739387683513, 'support': 1852.0}}   |
 
 
 ### Framework versions