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: 0.9245
-- Classification Report: {'0': {'precision': 0.9460297766749379, 'recall': 0.9579145728643216, 'f1-score': 0.9519350811485643, 'support': 1592.0}, '1': {'precision': 0.7208333333333333, 'recall': 0.6653846153846154, 'f1-score': 0.692, 'support': 260.0}, 'accuracy': 0.9168466522678186, 'macro avg': {'precision': 0.8334315550041356, 'recall': 0.8116495941244685, 'f1-score': 0.8219675405742821, 'support': 1852.0}, 'weighted avg': {'precision': 0.914414725233892, 'recall': 0.9168466522678186, 'f1-score': 0.9154431151125887, 'support': 1852.0}}
+- Loss: 1.0768
+- Classification Report: {'0': {'precision': 0.9484792054624457, 'recall': 0.9597989949748744, 'f1-score': 0.95410552606931, 'support': 1592.0}, '1': {'precision': 0.7344398340248963, 'recall': 0.6807692307692308, 'f1-score': 0.7065868263473054, 'support': 260.0}, 'accuracy': 0.9206263498920086, 'macro avg': {'precision': 0.841459519743671, 'recall': 0.8202841128720526, 'f1-score': 0.8303461762083078, 'support': 1852.0}, 'weighted avg': {'precision': 0.918430481610522, 'recall': 0.9206263498920086, 'f1-score': 0.9193566805359832, 'support': 1852.0}}
 
 ## Model description
 
@@ -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   | 9    | 0.4849          | {'0': {'precision': 0.9859307359307359, 'recall': 0.5722361809045227, 'f1-score': 0.7241653418124007, 'support': 1592.0}, '1': {'precision': 0.2661637931034483, 'recall': 0.95, 'f1-score': 0.4158249158249158, 'support': 260.0}, 'accuracy': 0.6252699784017278, 'macro avg': {'precision': 0.626047264517092, 'recall': 0.7611180904522613, 'f1-score': 0.5699951288186582, 'support': 1852.0}, 'weighted avg': {'precision': 0.8848835409333844, 'recall': 0.6252699784017278, 'f1-score': 0.6808778090063822, 'support': 1852.0}}                  |
-| No log        | 2.0   | 18   | 0.4361          | {'0': {'precision': 0.9823874755381604, 'recall': 0.6306532663316583, 'f1-score': 0.7681713848508034, 'support': 1592.0}, '1': {'precision': 0.29156626506024097, 'recall': 0.9307692307692308, 'f1-score': 0.44403669724770645, 'support': 260.0}, 'accuracy': 0.6727861771058316, 'macro avg': {'precision': 0.6369768702992007, 'recall': 0.7807112485504446, 'f1-score': 0.6061040410492549, 'support': 1852.0}, 'weighted avg': {'precision': 0.8854039362702019, 'recall': 0.6727861771058316, 'f1-score': 0.7226665151009085, 'support': 1852.0}} |
-| No log        | 3.0   | 27   | 0.4038          | {'0': {'precision': 0.9841129744042365, 'recall': 0.7003768844221105, 'f1-score': 0.818348623853211, 'support': 1592.0}, '1': {'precision': 0.33657858136300417, 'recall': 0.9307692307692308, 'f1-score': 0.4943820224719101, 'support': 260.0}, 'accuracy': 0.7327213822894169, 'macro avg': {'precision': 0.6603457778836204, 'recall': 0.8155730575956707, 'f1-score': 0.6563653231625606, 'support': 1852.0}, 'weighted avg': {'precision': 0.8932064181457481, 'recall': 0.7327213822894169, 'f1-score': 0.7728673515210629, 'support': 1852.0}}   |
-| No log        | 4.0   | 36   | 0.3820          | {'0': {'precision': 0.9833194328607172, 'recall': 0.7405778894472361, 'f1-score': 0.8448584736653529, 'support': 1592.0}, '1': {'precision': 0.3675344563552833, 'recall': 0.9230769230769231, 'f1-score': 0.5257393209200438, 'support': 260.0}, 'accuracy': 0.7661987041036717, 'macro avg': {'precision': 0.6754269446080002, 'recall': 0.8318274062620796, 'f1-score': 0.6852988972926983, 'support': 1852.0}, 'weighted avg': {'precision': 0.8968701381029348, 'recall': 0.7661987041036717, 'f1-score': 0.8000577286795103, 'support': 1852.0}}   |
-| No log        | 5.0   | 45   | 0.3735          | {'0': {'precision': 0.9657631954350927, 'recall': 0.8505025125628141, 'f1-score': 0.9044756179024717, 'support': 1592.0}, '1': {'precision': 0.4711111111111111, 'recall': 0.8153846153846154, 'f1-score': 0.5971830985915493, 'support': 260.0}, 'accuracy': 0.8455723542116631, 'macro avg': {'precision': 0.7184371532731019, 'recall': 0.8329435639737147, 'f1-score': 0.7508293582470105, 'support': 1852.0}, 'weighted avg': {'precision': 0.8963195982837777, 'recall': 0.8455723542116631, 'f1-score': 0.8613351994246963, 'support': 1852.0}}   |
-| No log        | 6.0   | 54   | 0.3759          | {'0': {'precision': 0.9601620526671168, 'recall': 0.8932160804020101, 'f1-score': 0.9254799869834038, 'support': 1592.0}, '1': {'precision': 0.5417789757412399, 'recall': 0.7730769230769231, 'f1-score': 0.6370839936608558, 'support': 260.0}, 'accuracy': 0.8763498920086393, 'macro avg': {'precision': 0.7509705142041784, 'recall': 0.8331465017394666, 'f1-score': 0.7812819903221297, 'support': 1852.0}, 'weighted avg': {'precision': 0.9014257675695315, 'recall': 0.8763498920086393, 'f1-score': 0.8849924285255948, 'support': 1852.0}}   |
-| No log        | 7.0   | 63   | 0.3701          | {'0': {'precision': 0.9560943643512451, 'recall': 0.9164572864321608, 'f1-score': 0.935856318152662, 'support': 1592.0}, '1': {'precision': 0.5920245398773006, 'recall': 0.7423076923076923, 'f1-score': 0.658703071672355, 'support': 260.0}, 'accuracy': 0.8920086393088553, 'macro avg': {'precision': 0.7740594521142729, 'recall': 0.8293824893699266, 'f1-score': 0.7972796949125085, 'support': 1852.0}, 'weighted avg': {'precision': 0.9049830499002592, 'recall': 0.8920086393088553, 'f1-score': 0.8969471150830725, 'support': 1852.0}}     |
-| No log        | 8.0   | 72   | 0.3211          | {'0': {'precision': 0.9728765167737331, 'recall': 0.8561557788944724, 'f1-score': 0.9107918476445038, 'support': 1592.0}, '1': {'precision': 0.49223946784922396, 'recall': 0.8538461538461538, 'f1-score': 0.6244725738396625, 'support': 260.0}, 'accuracy': 0.8558315334773218, 'macro avg': {'precision': 0.7325579923114786, 'recall': 0.8550009663703131, 'f1-score': 0.7676322107420832, 'support': 1852.0}, 'weighted avg': {'precision': 0.9054004731882189, 'recall': 0.8558315334773218, 'f1-score': 0.8705958372831331, 'support': 1852.0}}  |
-| No log        | 9.0   | 81   | 0.3262          | {'0': {'precision': 0.9895245769540693, 'recall': 0.7713567839195979, 'f1-score': 0.8669255206494881, 'support': 1592.0}, '1': {'precision': 0.40425531914893614, 'recall': 0.95, 'f1-score': 0.5671641791044776, 'support': 260.0}, 'accuracy': 0.7964362850971922, 'macro avg': {'precision': 0.6968899480515027, 'recall': 0.8606783919597989, 'f1-score': 0.7170448498769828, 'support': 1852.0}, 'weighted avg': {'precision': 0.9073593463766747, 'recall': 0.7964362850971922, 'f1-score': 0.8248423949466249, 'support': 1852.0}}                |
-| No log        | 10.0  | 90   | 0.3277          | {'0': {'precision': 0.965893587994543, 'recall': 0.8894472361809045, 'f1-score': 0.9260954872465664, 'support': 1592.0}, '1': {'precision': 0.5440414507772021, 'recall': 0.8076923076923077, 'f1-score': 0.6501547987616099, 'support': 260.0}, 'accuracy': 0.8779697624190065, 'macro avg': {'precision': 0.7549675193858725, 'recall': 0.8485697719366061, 'f1-score': 0.7881251430040881, 'support': 1852.0}, 'weighted avg': {'precision': 0.9066702857934043, 'recall': 0.8779697624190065, 'f1-score': 0.8873565137011622, 'support': 1852.0}}    |
-| No log        | 11.0  | 99   | 0.3093          | {'0': {'precision': 0.9893048128342246, 'recall': 0.8134422110552764, 'f1-score': 0.8927955877283695, 'support': 1592.0}, '1': {'precision': 0.4530386740331492, 'recall': 0.9461538461538461, 'f1-score': 0.6127023661270237, 'support': 260.0}, 'accuracy': 0.83207343412527, 'macro avg': {'precision': 0.7211717434336868, 'recall': 0.8797980286045612, 'f1-score': 0.7527489769276966, 'support': 1852.0}, 'weighted avg': {'precision': 0.9140190698059959, 'recall': 0.83207343412527, 'f1-score': 0.8534736451709453, 'support': 1852.0}}       |
-| No log        | 12.0  | 108  | 0.3208          | {'0': {'precision': 0.9661705006765899, 'recall': 0.8969849246231156, 'f1-score': 0.9302931596091205, 'support': 1592.0}, '1': {'precision': 0.5614973262032086, 'recall': 0.8076923076923077, 'f1-score': 0.6624605678233438, 'support': 260.0}, 'accuracy': 0.8844492440604752, 'macro avg': {'precision': 0.7638339134398993, 'recall': 0.8523386161577117, 'f1-score': 0.7963768637162322, 'support': 1852.0}, 'weighted avg': {'precision': 0.9093589319060289, 'recall': 0.8844492440604752, 'f1-score': 0.892692471777424, 'support': 1852.0}}    |
-| No log        | 13.0  | 117  | 0.3203          | {'0': {'precision': 0.9624505928853755, 'recall': 0.917713567839196, 'f1-score': 0.9395498392282958, 'support': 1592.0}, '1': {'precision': 0.6077844311377245, 'recall': 0.7807692307692308, 'f1-score': 0.6835016835016835, 'support': 260.0}, 'accuracy': 0.8984881209503239, 'macro avg': {'precision': 0.78511751201155, 'recall': 0.8492413993042134, 'f1-score': 0.8115257613649897, 'support': 1852.0}, 'weighted avg': {'precision': 0.9126594470676708, 'recall': 0.8984881209503239, 'f1-score': 0.9036035538671083, 'support': 1852.0}}      |
-| No log        | 14.0  | 126  | 0.2882          | {'0': {'precision': 0.9829755736491488, 'recall': 0.8341708542713567, 'f1-score': 0.9024804621134896, 'support': 1592.0}, '1': {'precision': 0.47305389221556887, 'recall': 0.9115384615384615, 'f1-score': 0.6228646517739816, 'support': 260.0}, 'accuracy': 0.8450323974082073, 'macro avg': {'precision': 0.7280147329323589, 'recall': 0.8728546579049091, 'f1-score': 0.7626725569437356, 'support': 1852.0}, 'weighted avg': {'precision': 0.9113882965580414, 'recall': 0.8450323974082073, 'f1-score': 0.863225542735373, 'support': 1852.0}}   |
-| No log        | 15.0  | 135  | 0.2910          | {'0': {'precision': 0.9804347826086957, 'recall': 0.8498743718592965, 'f1-score': 0.9104979811574697, 'support': 1592.0}, '1': {'precision': 0.4936440677966102, 'recall': 0.8961538461538462, 'f1-score': 0.6366120218579235, 'support': 260.0}, 'accuracy': 0.8563714902807775, 'macro avg': {'precision': 0.7370394252026529, 'recall': 0.8730141090065713, 'f1-score': 0.7735550015076966, 'support': 1852.0}, 'weighted avg': {'precision': 0.9120948334450121, 'recall': 0.8563714902807775, 'f1-score': 0.872047468512825, 'support': 1852.0}}    |
-| No log        | 16.0  | 144  | 0.3558          | {'0': {'precision': 0.9601286173633441, 'recall': 0.9378140703517588, 'f1-score': 0.9488401652367334, 'support': 1592.0}, '1': {'precision': 0.6666666666666666, 'recall': 0.7615384615384615, 'f1-score': 0.7109515260323159, 'support': 260.0}, 'accuracy': 0.9130669546436285, 'macro avg': {'precision': 0.8133976420150053, 'recall': 0.8496762659451101, 'f1-score': 0.8298958456345247, 'support': 1852.0}, 'weighted avg': {'precision': 0.9189298553864887, 'recall': 0.9130669546436285, 'f1-score': 0.9154432720438886, 'support': 1852.0}}   |
-| No log        | 17.0  | 153  | 0.2957          | {'0': {'precision': 0.9756969263759828, 'recall': 0.8574120603015075, 'f1-score': 0.9127382146439318, 'support': 1592.0}, '1': {'precision': 0.4988962472406181, 'recall': 0.8692307692307693, 'f1-score': 0.6339410939691444, 'support': 260.0}, 'accuracy': 0.8590712742980562, 'macro avg': {'precision': 0.7372965868083005, 'recall': 0.8633214147661383, 'f1-score': 0.7733396543065381, 'support': 1852.0}, 'weighted avg': {'precision': 0.9087594660222059, 'recall': 0.8590712742980562, 'f1-score': 0.8735982300999553, 'support': 1852.0}}   |
-| No log        | 18.0  | 162  | 0.3945          | {'0': {'precision': 0.9550063371356147, 'recall': 0.946608040201005, 'f1-score': 0.950788643533123, 'support': 1592.0}, '1': {'precision': 0.6897810218978102, 'recall': 0.7269230769230769, 'f1-score': 0.7078651685393258, 'support': 260.0}, 'accuracy': 0.9157667386609071, 'macro avg': {'precision': 0.8223936795167124, 'recall': 0.8367655585620409, 'f1-score': 0.8293269060362244, 'support': 1852.0}, 'weighted avg': {'precision': 0.9177716816486658, 'recall': 0.9157667386609071, 'f1-score': 0.9166849159422011, 'support': 1852.0}}     |
-| No log        | 19.0  | 171  | 0.3045          | {'0': {'precision': 0.9774545454545455, 'recall': 0.8442211055276382, 'f1-score': 0.9059656218402427, 'support': 1592.0}, '1': {'precision': 0.480083857442348, 'recall': 0.8807692307692307, 'f1-score': 0.621438263229308, 'support': 260.0}, 'accuracy': 0.8493520518358532, 'macro avg': {'precision': 0.7287692014484467, 'recall': 0.8624951681484345, 'f1-score': 0.7637019425347753, 'support': 1852.0}, 'weighted avg': {'precision': 0.9076292868783191, 'recall': 0.8493520518358532, 'f1-score': 0.866021176246915, 'support': 1852.0}}      |
-| No log        | 20.0  | 180  | 0.4851          | {'0': {'precision': 0.9439309919901417, 'recall': 0.9623115577889447, 'f1-score': 0.9530326594090203, 'support': 1592.0}, '1': {'precision': 0.7379912663755459, 'recall': 0.65, 'f1-score': 0.6912065439672802, 'support': 260.0}, 'accuracy': 0.9184665226781857, 'macro avg': {'precision': 0.8409611291828438, 'recall': 0.8061557788944724, 'f1-score': 0.8221196016881502, 'support': 1852.0}, 'weighted avg': {'precision': 0.9150193674438163, 'recall': 0.9184665226781857, 'f1-score': 0.9162752133966809, 'support': 1852.0}}                 |
-| No log        | 21.0  | 189  | 0.3723          | {'0': {'precision': 0.9577464788732394, 'recall': 0.9396984924623115, 'f1-score': 0.9486366518706405, 'support': 1592.0}, '1': {'precision': 0.6689655172413793, 'recall': 0.7461538461538462, 'f1-score': 0.7054545454545454, 'support': 260.0}, 'accuracy': 0.9125269978401728, 'macro avg': {'precision': 0.8133559980573093, 'recall': 0.8429261693080788, 'f1-score': 0.827045598662593, 'support': 1852.0}, 'weighted avg': {'precision': 0.917204875188421, 'recall': 0.9125269978401728, 'f1-score': 0.9144966153327438, 'support': 1852.0}}     |
-| No log        | 22.0  | 198  | 0.3060          | {'0': {'precision': 0.9784637473079684, 'recall': 0.8561557788944724, 'f1-score': 0.9132328308207706, 'support': 1592.0}, '1': {'precision': 0.5010893246187363, 'recall': 0.8846153846153846, 'f1-score': 0.6397774687065368, 'support': 260.0}, 'accuracy': 0.8601511879049676, 'macro avg': {'precision': 0.7397765359633524, 'recall': 0.8703855817549284, 'f1-score': 0.7765051497636537, 'support': 1852.0}, 'weighted avg': {'precision': 0.9114457398030005, 'recall': 0.8601511879049676, 'f1-score': 0.874842769184863, 'support': 1852.0}}    |
-| No log        | 23.0  | 207  | 0.3078          | {'0': {'precision': 0.9812409812409812, 'recall': 0.8542713567839196, 'f1-score': 0.9133646742780389, 'support': 1592.0}, '1': {'precision': 0.5021459227467812, 'recall': 0.9, 'f1-score': 0.6446280991735537, 'support': 260.0}, 'accuracy': 0.8606911447084233, 'macro avg': {'precision': 0.7416934519938811, 'recall': 0.8771356783919598, 'f1-score': 0.7789963867257963, 'support': 1852.0}, 'weighted avg': {'precision': 0.9139814157936315, 'recall': 0.8606911447084233, 'f1-score': 0.8756370773411241, 'support': 1852.0}}                  |
-| No log        | 24.0  | 216  | 0.3077          | {'0': {'precision': 0.9831748354059985, 'recall': 0.8442211055276382, 'f1-score': 0.9084150050692802, 'support': 1592.0}, '1': {'precision': 0.488659793814433, 'recall': 0.9115384615384615, 'f1-score': 0.636241610738255, 'support': 260.0}, 'accuracy': 0.853671706263499, 'macro avg': {'precision': 0.7359173146102157, 'recall': 0.8778797835330499, 'f1-score': 0.7723283079037676, 'support': 1852.0}, 'weighted avg': {'precision': 0.9137504775151739, 'recall': 0.853671706263499, 'f1-score': 0.8702049173122249, 'support': 1852.0}}       |
-| No log        | 25.0  | 225  | 0.3860          | {'0': {'precision': 0.9623376623376624, 'recall': 0.9309045226130653, 'f1-score': 0.946360153256705, 'support': 1592.0}, '1': {'precision': 0.6474358974358975, 'recall': 0.7769230769230769, 'f1-score': 0.7062937062937062, 'support': 260.0}, 'accuracy': 0.9092872570194385, 'macro avg': {'precision': 0.8048867798867799, 'recall': 0.8539137997680711, 'f1-score': 0.8263269297752056, 'support': 1852.0}, 'weighted avg': {'precision': 0.9181289912391424, 'recall': 0.9092872570194385, 'f1-score': 0.9126575203137355, 'support': 1852.0}}    |
-| No log        | 26.0  | 234  | 0.3761          | {'0': {'precision': 0.9669749009247027, 'recall': 0.9195979899497487, 'f1-score': 0.9426915647134578, 'support': 1592.0}, '1': {'precision': 0.621301775147929, 'recall': 0.8076923076923077, 'f1-score': 0.7023411371237458, 'support': 260.0}, 'accuracy': 0.9038876889848813, 'macro avg': {'precision': 0.7941383380363158, 'recall': 0.8636451488210282, 'f1-score': 0.8225163509186018, 'support': 1852.0}, 'weighted avg': {'precision': 0.9184462763556092, 'recall': 0.9038876889848813, 'f1-score': 0.908949064079913, 'support': 1852.0}}     |
-| No log        | 27.0  | 243  | 0.4425          | {'0': {'precision': 0.9631067961165048, 'recall': 0.9346733668341709, 'f1-score': 0.9486770800127511, 'support': 1592.0}, '1': {'precision': 0.6612377850162866, 'recall': 0.7807692307692308, 'f1-score': 0.7160493827160493, 'support': 260.0}, 'accuracy': 0.9130669546436285, 'macro avg': {'precision': 0.8121722905663957, 'recall': 0.8577212988017009, 'f1-score': 0.8323632313644003, 'support': 1852.0}, 'weighted avg': {'precision': 0.9207277772795411, 'recall': 0.9130669546436285, 'f1-score': 0.916018763977577, 'support': 1852.0}}    |
-| No log        | 28.0  | 252  | 0.4524          | {'0': {'precision': 0.9589480436177037, 'recall': 0.9390703517587939, 'f1-score': 0.948905109489051, 'support': 1592.0}, '1': {'precision': 0.6689419795221843, 'recall': 0.7538461538461538, 'f1-score': 0.7088607594936709, 'support': 260.0}, 'accuracy': 0.9130669546436285, 'macro avg': {'precision': 0.813945011569944, 'recall': 0.8464582528024739, 'f1-score': 0.828882934491361, 'support': 1852.0}, 'weighted avg': {'precision': 0.9182344493062377, 'recall': 0.9130669546436285, 'f1-score': 0.9152055787121617, 'support': 1852.0}}      |
-| No log        | 29.0  | 261  | 0.4141          | {'0': {'precision': 0.9653333333333334, 'recall': 0.9095477386934674, 'f1-score': 0.9366106080206986, 'support': 1592.0}, '1': {'precision': 0.5909090909090909, 'recall': 0.8, 'f1-score': 0.6797385620915033, 'support': 260.0}, 'accuracy': 0.8941684665226782, 'macro avg': {'precision': 0.7781212121212122, 'recall': 0.8547738693467337, 'f1-score': 0.808174585056101, 'support': 1852.0}, 'weighted avg': {'precision': 0.9127683748936449, 'recall': 0.8941684665226782, 'f1-score': 0.900548657728263, 'support': 1852.0}}                    |
-| No log        | 30.0  | 270  | 0.5343          | {'0': {'precision': 0.9495586380832283, 'recall': 0.9459798994974874, 'f1-score': 0.9477658904971681, 'support': 1592.0}, '1': {'precision': 0.6766917293233082, 'recall': 0.6923076923076923, 'f1-score': 0.6844106463878327, 'support': 260.0}, 'accuracy': 0.9103671706263499, 'macro avg': {'precision': 0.8131251837032683, 'recall': 0.8191437959025898, 'f1-score': 0.8160882684425004, 'support': 1852.0}, 'weighted avg': {'precision': 0.911251188689287, 'recall': 0.9103671706263499, 'f1-score': 0.9107937719936977, 'support': 1852.0}}    |
-| No log        | 31.0  | 279  | 0.6099          | {'0': {'precision': 0.9440298507462687, 'recall': 0.9535175879396985, 'f1-score': 0.94875, 'support': 1592.0}, '1': {'precision': 0.6967213114754098, 'recall': 0.6538461538461539, 'f1-score': 0.6746031746031746, 'support': 260.0}, 'accuracy': 0.9114470842332614, 'macro avg': {'precision': 0.8203755811108393, 'recall': 0.8036818708929262, 'f1-score': 0.8116765873015873, 'support': 1852.0}, 'weighted avg': {'precision': 0.9093105093799495, 'recall': 0.9114470842332614, 'f1-score': 0.9102628646851109, 'support': 1852.0}}              |
-| No log        | 32.0  | 288  | 0.5094          | {'0': {'precision': 0.9592760180995475, 'recall': 0.9321608040201005, 'f1-score': 0.9455240522459382, 'support': 1592.0}, '1': {'precision': 0.6459016393442623, 'recall': 0.7576923076923077, 'f1-score': 0.6973451327433628, 'support': 260.0}, 'accuracy': 0.9076673866090713, 'macro avg': {'precision': 0.802588828721905, 'recall': 0.844926555856204, 'f1-score': 0.8214345924946505, 'support': 1852.0}, 'weighted avg': {'precision': 0.9152817748617647, 'recall': 0.9076673866090713, 'f1-score': 0.9106825192704147, 'support': 1852.0}}     |
-| No log        | 33.0  | 297  | 0.7074          | {'0': {'precision': 0.9423666462293072, 'recall': 0.9654522613065326, 'f1-score': 0.9537697797083463, 'support': 1592.0}, '1': {'precision': 0.751131221719457, 'recall': 0.6384615384615384, 'f1-score': 0.6902286902286903, 'support': 260.0}, 'accuracy': 0.9195464362850972, 'macro avg': {'precision': 0.8467489339743821, 'recall': 0.8019568998840355, 'f1-score': 0.8219992349685183, 'support': 1852.0}, 'weighted avg': {'precision': 0.9155193404125896, 'recall': 0.9195464362850972, 'f1-score': 0.916771570602131, 'support': 1852.0}}     |
-| No log        | 34.0  | 306  | 0.5431          | {'0': {'precision': 0.9587894397939472, 'recall': 0.9353015075376885, 'f1-score': 0.946899841017488, 'support': 1592.0}, '1': {'precision': 0.6555183946488294, 'recall': 0.7538461538461538, 'f1-score': 0.7012522361359571, 'support': 260.0}, 'accuracy': 0.9098272138228942, 'macro avg': {'precision': 0.8071539172213883, 'recall': 0.8445738306919212, 'f1-score': 0.8240760385767225, 'support': 1852.0}, 'weighted avg': {'precision': 0.9162135911234663, 'recall': 0.9098272138228942, 'f1-score': 0.9124136761853077, 'support': 1852.0}}    |
-| No log        | 35.0  | 315  | 0.7273          | {'0': {'precision': 0.9405637254901961, 'recall': 0.9641959798994975, 'f1-score': 0.9522332506203474, 'support': 1592.0}, '1': {'precision': 0.740909090909091, 'recall': 0.6269230769230769, 'f1-score': 0.6791666666666667, 'support': 260.0}, 'accuracy': 0.9168466522678186, 'macro avg': {'precision': 0.8407364081996436, 'recall': 0.7955595284112872, 'f1-score': 0.815699958643507, 'support': 1852.0}, 'weighted avg': {'precision': 0.9125344571364772, 'recall': 0.9168466522678186, 'f1-score': 0.9138977690717744, 'support': 1852.0}}     |
-| No log        | 36.0  | 324  | 0.7356          | {'0': {'precision': 0.9427692307692308, 'recall': 0.9623115577889447, 'f1-score': 0.9524401616412806, 'support': 1592.0}, '1': {'precision': 0.73568281938326, 'recall': 0.6423076923076924, 'f1-score': 0.6858316221765913, 'support': 260.0}, 'accuracy': 0.9173866090712743, 'macro avg': {'precision': 0.8392260250762453, 'recall': 0.8023096250483186, 'f1-score': 0.819135891908936, 'support': 1852.0}, 'weighted avg': {'precision': 0.9136966244191485, 'recall': 0.9173866090712743, 'f1-score': 0.915011317008009, 'support': 1852.0}}       |
-| No log        | 37.0  | 333  | 0.7737          | {'0': {'precision': 0.9443757725587144, 'recall': 0.9597989949748744, 'f1-score': 0.9520249221183801, 'support': 1592.0}, '1': {'precision': 0.7264957264957265, 'recall': 0.6538461538461539, 'f1-score': 0.6882591093117408, 'support': 260.0}, 'accuracy': 0.9168466522678186, 'macro avg': {'precision': 0.8354357495272204, 'recall': 0.8068225744105142, 'f1-score': 0.8201420157150605, 'support': 1852.0}, 'weighted avg': {'precision': 0.9137878611243857, 'recall': 0.9168466522678186, 'f1-score': 0.914995164380947, 'support': 1852.0}}    |
-| No log        | 38.0  | 342  | 0.7866          | {'0': {'precision': 0.9444444444444444, 'recall': 0.9610552763819096, 'f1-score': 0.9526774595267746, 'support': 1592.0}, '1': {'precision': 0.7327586206896551, 'recall': 0.6538461538461539, 'f1-score': 0.6910569105691057, 'support': 260.0}, 'accuracy': 0.91792656587473, 'macro avg': {'precision': 0.8386015325670497, 'recall': 0.8074507151140318, 'f1-score': 0.8218671850479402, 'support': 1852.0}, 'weighted avg': {'precision': 0.9147261322542473, 'recall': 0.91792656587473, 'f1-score': 0.9159488727400609, 'support': 1852.0}}       |
-| No log        | 39.0  | 351  | 0.7593          | {'0': {'precision': 0.9475982532751092, 'recall': 0.9541457286432161, 'f1-score': 0.9508607198748044, 'support': 1592.0}, '1': {'precision': 0.7068273092369478, 'recall': 0.676923076923077, 'f1-score': 0.6915520628683693, 'support': 260.0}, 'accuracy': 0.9152267818574514, 'macro avg': {'precision': 0.8272127812560285, 'recall': 0.8155344027831466, 'f1-score': 0.8212063913715868, 'support': 1852.0}, 'weighted avg': {'precision': 0.913796716855065, 'recall': 0.9152267818574514, 'f1-score': 0.9144566967529507, 'support': 1852.0}}     |
-| No log        | 40.0  | 360  | 0.9098          | {'0': {'precision': 0.9388753056234719, 'recall': 0.964824120603015, 'f1-score': 0.9516728624535316, 'support': 1592.0}, '1': {'precision': 0.7407407407407407, 'recall': 0.6153846153846154, 'f1-score': 0.6722689075630253, 'support': 260.0}, 'accuracy': 0.9157667386609071, 'macro avg': {'precision': 0.8398080231821063, 'recall': 0.7901043679938152, 'f1-score': 0.8119708850082784, 'support': 1852.0}, 'weighted avg': {'precision': 0.9110594379833475, 'recall': 0.9157667386609071, 'f1-score': 0.9124476852010847, 'support': 1852.0}}    |
-| No log        | 41.0  | 369  | 0.9334          | {'0': {'precision': 0.9394495412844037, 'recall': 0.964824120603015, 'f1-score': 0.951967771924388, 'support': 1592.0}, '1': {'precision': 0.7419354838709677, 'recall': 0.6192307692307693, 'f1-score': 0.6750524109014675, 'support': 260.0}, 'accuracy': 0.9163066954643628, 'macro avg': {'precision': 0.8406925125776857, 'recall': 0.7920274449168921, 'f1-score': 0.8135100914129277, 'support': 1852.0}, 'weighted avg': {'precision': 0.9117207859239862, 'recall': 0.9163066954643628, 'f1-score': 0.9130919653012998, 'support': 1852.0}}     |
-| No log        | 42.0  | 378  | 0.8437          | {'0': {'precision': 0.9465838509316771, 'recall': 0.957286432160804, 'f1-score': 0.9519050593379138, 'support': 1592.0}, '1': {'precision': 0.71900826446281, 'recall': 0.6692307692307692, 'f1-score': 0.6932270916334662, 'support': 260.0}, 'accuracy': 0.9168466522678186, 'macro avg': {'precision': 0.8327960576972435, 'recall': 0.8132586006957866, 'f1-score': 0.82256607548569, 'support': 1852.0}, 'weighted avg': {'precision': 0.9146347945159614, 'recall': 0.9168466522678186, 'f1-score': 0.9155895779107236, 'support': 1852.0}}        |
-| No log        | 43.0  | 387  | 0.8738          | {'0': {'precision': 0.9477611940298507, 'recall': 0.957286432160804, 'f1-score': 0.9525, 'support': 1592.0}, '1': {'precision': 0.7213114754098361, 'recall': 0.676923076923077, 'f1-score': 0.6984126984126984, 'support': 260.0}, 'accuracy': 0.91792656587473, 'macro avg': {'precision': 0.8345363347198433, 'recall': 0.8171047545419405, 'f1-score': 0.8254563492063491, 'support': 1852.0}, 'weighted avg': {'precision': 0.9159701968153778, 'recall': 0.91792656587473, 'f1-score': 0.91682899653742, 'support': 1852.0}}                       |
-| No log        | 44.0  | 396  | 0.8730          | {'0': {'precision': 0.9475327920049968, 'recall': 0.9528894472361809, 'f1-score': 0.9502035703100532, 'support': 1592.0}, '1': {'precision': 0.701195219123506, 'recall': 0.676923076923077, 'f1-score': 0.6888454011741683, 'support': 260.0}, 'accuracy': 0.9141468682505399, 'macro avg': {'precision': 0.8243640055642514, 'recall': 0.8149062620796289, 'f1-score': 0.8195244857421107, 'support': 1852.0}, 'weighted avg': {'precision': 0.9129497634147227, 'recall': 0.9141468682505399, 'f1-score': 0.9135118187035035, 'support': 1852.0}}     |
-| No log        | 45.0  | 405  | 0.9155          | {'0': {'precision': 0.9448574969021065, 'recall': 0.9579145728643216, 'f1-score': 0.9513412351840299, 'support': 1592.0}, '1': {'precision': 0.7184873949579832, 'recall': 0.6576923076923077, 'f1-score': 0.6867469879518072, 'support': 260.0}, 'accuracy': 0.9157667386609071, 'macro avg': {'precision': 0.8316724459300449, 'recall': 0.8078034402783146, 'f1-score': 0.8190441115679186, 'support': 1852.0}, 'weighted avg': {'precision': 0.9130776769747457, 'recall': 0.9157667386609071, 'f1-score': 0.9141951745574759, 'support': 1852.0}}   |
-| No log        | 46.0  | 414  | 0.9029          | {'0': {'precision': 0.9465506525792418, 'recall': 0.9566582914572864, 'f1-score': 0.9515776319900031, 'support': 1592.0}, '1': {'precision': 0.7160493827160493, 'recall': 0.6692307692307692, 'f1-score': 0.6918489065606361, 'support': 260.0}, 'accuracy': 0.9163066954643628, 'macro avg': {'precision': 0.8313000176476455, 'recall': 0.8129445303440278, 'f1-score': 0.8217132692753196, 'support': 1852.0}, 'weighted avg': {'precision': 0.91419086307361, 'recall': 0.9163066954643628, 'f1-score': 0.9151146359794009, 'support': 1852.0}}     |
-| No log        | 47.0  | 423  | 0.9070          | {'0': {'precision': 0.9470734744707348, 'recall': 0.9554020100502513, 'f1-score': 0.9512195121951219, 'support': 1592.0}, '1': {'precision': 0.7113821138211383, 'recall': 0.6730769230769231, 'f1-score': 0.691699604743083, 'support': 260.0}, 'accuracy': 0.9157667386609071, 'macro avg': {'precision': 0.8292277941459365, 'recall': 0.8142394665635873, 'f1-score': 0.8214595584691025, 'support': 1852.0}, 'weighted avg': {'precision': 0.9139850545091284, 'recall': 0.9157667386609071, 'f1-score': 0.9147858318832806, 'support': 1852.0}}    |
-| No log        | 48.0  | 432  | 0.8932          | {'0': {'precision': 0.9488778054862843, 'recall': 0.9560301507537688, 'f1-score': 0.9524405506883604, 'support': 1592.0}, '1': {'precision': 0.717741935483871, 'recall': 0.6846153846153846, 'f1-score': 0.7007874015748031, 'support': 260.0}, 'accuracy': 0.91792656587473, 'macro avg': {'precision': 0.8333098704850777, 'recall': 0.8203227676845768, 'f1-score': 0.8266139761315818, 'support': 1852.0}, 'weighted avg': {'precision': 0.9164289252483644, 'recall': 0.91792656587473, 'f1-score': 0.9171112748948804, 'support': 1852.0}}        |
-| No log        | 49.0  | 441  | 0.9557          | {'0': {'precision': 0.9444101297096974, 'recall': 0.960427135678392, 'f1-score': 0.9523512924322641, 'support': 1592.0}, '1': {'precision': 0.7296137339055794, 'recall': 0.6538461538461539, 'f1-score': 0.6896551724137931, 'support': 260.0}, 'accuracy': 0.9173866090712743, 'macro avg': {'precision': 0.8370119318076383, 'recall': 0.807136644762273, 'f1-score': 0.8210032324230286, 'support': 1852.0}, 'weighted avg': {'precision': 0.9142551281389248, 'recall': 0.9173866090712743, 'f1-score': 0.9154717075484615, 'support': 1852.0}}     |
-| No log        | 50.0  | 450  | 0.9245          | {'0': {'precision': 0.9460297766749379, 'recall': 0.9579145728643216, 'f1-score': 0.9519350811485643, 'support': 1592.0}, '1': {'precision': 0.7208333333333333, 'recall': 0.6653846153846154, 'f1-score': 0.692, 'support': 260.0}, 'accuracy': 0.9168466522678186, 'macro avg': {'precision': 0.8334315550041356, 'recall': 0.8116495941244685, 'f1-score': 0.8219675405742821, 'support': 1852.0}, 'weighted avg': {'precision': 0.914414725233892, 'recall': 0.9168466522678186, 'f1-score': 0.9154431151125887, 'support': 1852.0}}                 |
+| Training Loss | Epoch | Step | Validation Loss | Classification Report                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |
+|:-------------:|:-----:|:----:|:---------------:|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
+| No log        | 1.0   | 9    | 0.4889          | {'0': {'precision': 0.9869423286180631, 'recall': 0.5697236180904522, 'f1-score': 0.72242134607726, 'support': 1592.0}, '1': {'precision': 0.2658092175777063, 'recall': 0.9538461538461539, 'f1-score': 0.4157585917854149, 'support': 260.0}, 'accuracy': 0.6236501079913607, 'macro avg': {'precision': 0.6263757730978847, 'recall': 0.7617848859683031, 'f1-score': 0.5690899689313375, 'support': 1852.0}, 'weighted avg': {'precision': 0.8857033389471706, 'recall': 0.6236501079913607, 'f1-score': 0.6793693395352084, 'support': 1852.0}}   |
+| No log        | 2.0   | 18   | 0.4354          | {'0': {'precision': 0.9833005893909627, 'recall': 0.6287688442211056, 'f1-score': 0.7670498084291187, 'support': 1592.0}, '1': {'precision': 0.29136690647482016, 'recall': 0.9346153846153846, 'f1-score': 0.44424131627056673, 'support': 260.0}, 'accuracy': 0.67170626349892, 'macro avg': {'precision': 0.6373337479328914, 'recall': 0.7816921144182452, 'f1-score': 0.6056455623498427, 'support': 1852.0}, 'weighted avg': {'precision': 0.8861608714869686, 'recall': 0.67170626349892, 'f1-score': 0.7217311216250024, 'support': 1852.0}}   |
+| No log        | 3.0   | 27   | 0.3966          | {'0': {'precision': 0.9805414551607445, 'recall': 0.7280150753768844, 'f1-score': 0.8356164383561644, 'support': 1592.0}, '1': {'precision': 0.3537313432835821, 'recall': 0.9115384615384615, 'f1-score': 0.5096774193548387, 'support': 260.0}, 'accuracy': 0.7537796976241901, 'macro avg': {'precision': 0.6671363992221633, 'recall': 0.8197767684576729, 'f1-score': 0.6726469288555015, 'support': 1852.0}, 'weighted avg': {'precision': 0.892544355221186, 'recall': 0.7537796976241901, 'f1-score': 0.7898582607425872, 'support': 1852.0}}  |
+| No log        | 4.0   | 36   | 0.4078          | {'0': {'precision': 0.9886148007590133, 'recall': 0.6545226130653267, 'f1-score': 0.7876039304610734, 'support': 1592.0}, '1': {'precision': 0.3107769423558897, 'recall': 0.9538461538461539, 'f1-score': 0.46880907372400754, 'support': 260.0}, 'accuracy': 0.6965442764578834, 'macro avg': {'precision': 0.6496958715574515, 'recall': 0.8041843834557403, 'f1-score': 0.6282065020925405, 'support': 1852.0}, 'weighted avg': {'precision': 0.893453978305011, 'recall': 0.6965442764578834, 'f1-score': 0.7428487129925868, 'support': 1852.0}} |
+| No log        | 5.0   | 45   | 0.4120          | {'0': {'precision': 0.996011964107677, 'recall': 0.6275125628140703, 'f1-score': 0.7699421965317919, 'support': 1592.0}, '1': {'precision': 0.30153121319199055, 'recall': 0.9846153846153847, 'f1-score': 0.4616771866546438, 'support': 260.0}, 'accuracy': 0.677645788336933, 'macro avg': {'precision': 0.6487715886498338, 'recall': 0.8060639737147275, 'f1-score': 0.6158096915932179, 'support': 1852.0}, 'weighted avg': {'precision': 0.8985146664629261, 'recall': 0.677645788336933, 'f1-score': 0.7266652513006587, 'support': 1852.0}}   |
+| No log        | 6.0   | 54   | 0.3492          | {'0': {'precision': 0.9889549702633815, 'recall': 0.7311557788944724, 'f1-score': 0.8407367280606717, 'support': 1592.0}, '1': {'precision': 0.36592592592592593, 'recall': 0.95, 'f1-score': 0.5283422459893048, 'support': 260.0}, 'accuracy': 0.7618790496760259, 'macro avg': {'precision': 0.6774404480946538, 'recall': 0.8405778894472362, 'f1-score': 0.6845394870249882, 'support': 1852.0}, 'weighted avg': {'precision': 0.9014886897408446, 'recall': 0.7618790496760259, 'f1-score': 0.7968800513119916, 'support': 1852.0}}              |
+| No log        | 7.0   | 63   | 0.3396          | {'0': {'precision': 0.9647457627118644, 'recall': 0.8938442211055276, 'f1-score': 0.9279426149331594, 'support': 1592.0}, '1': {'precision': 0.5517241379310345, 'recall': 0.8, 'f1-score': 0.6530612244897959, 'support': 260.0}, 'accuracy': 0.8806695464362851, 'macro avg': {'precision': 0.7582349503214494, 'recall': 0.8469221105527638, 'f1-score': 0.7905019197114777, 'support': 1852.0}, 'weighted avg': {'precision': 0.9067621652804303, 'recall': 0.8806695464362851, 'f1-score': 0.8893523549357111, 'support': 1852.0}}                |
+| No log        | 8.0   | 72   | 0.3187          | {'0': {'precision': 0.989516129032258, 'recall': 0.7707286432160804, 'f1-score': 0.8665254237288136, 'support': 1592.0}, '1': {'precision': 0.4035947712418301, 'recall': 0.95, 'f1-score': 0.5665137614678899, 'support': 260.0}, 'accuracy': 0.7958963282937365, 'macro avg': {'precision': 0.6965554501370441, 'recall': 0.8603643216080401, 'f1-score': 0.7165195925983517, 'support': 1852.0}, 'weighted avg': {'precision': 0.9072593509407292, 'recall': 0.7958963282937365, 'f1-score': 0.8244071558088135, 'support': 1852.0}}                |
+| No log        | 9.0   | 81   | 0.2977          | {'0': {'precision': 0.9796954314720813, 'recall': 0.8486180904522613, 'f1-score': 0.9094580949175362, 'support': 1592.0}, '1': {'precision': 0.4904862579281184, 'recall': 0.8923076923076924, 'f1-score': 0.6330150068212824, 'support': 260.0}, 'accuracy': 0.8547516198704104, 'macro avg': {'precision': 0.7350908447000999, 'recall': 0.8704628913799768, 'f1-score': 0.7712365508694092, 'support': 1852.0}, 'weighted avg': {'precision': 0.9110159578643975, 'recall': 0.8547516198704104, 'f1-score': 0.8706485901092068, 'support': 1852.0}} |
+| No log        | 10.0  | 90   | 0.3461          | {'0': {'precision': 0.9582517938682322, 'recall': 0.9227386934673367, 'f1-score': 0.94016, 'support': 1592.0}, '1': {'precision': 0.6144200626959248, 'recall': 0.7538461538461538, 'f1-score': 0.6770293609671848, 'support': 260.0}, 'accuracy': 0.8990280777537797, 'macro avg': {'precision': 0.7863359282820785, 'recall': 0.8382924236567453, 'f1-score': 0.8085946804835924, 'support': 1852.0}, 'weighted avg': {'precision': 0.9099816804207159, 'recall': 0.8990280777537797, 'f1-score': 0.9032194135267105, 'support': 1852.0}}            |
+| No log        | 11.0  | 99   | 0.3133          | {'0': {'precision': 0.9732142857142857, 'recall': 0.8900753768844221, 'f1-score': 0.9297900262467191, 'support': 1592.0}, '1': {'precision': 0.5580808080808081, 'recall': 0.85, 'f1-score': 0.6737804878048781, 'support': 260.0}, 'accuracy': 0.8844492440604752, 'macro avg': {'precision': 0.7656475468975469, 'recall': 0.870037688442211, 'f1-score': 0.8017852570257986, 'support': 1852.0}, 'weighted avg': {'precision': 0.9149342078607738, 'recall': 0.8844492440604752, 'f1-score': 0.8938491623185989, 'support': 1852.0}}                |
+| No log        | 12.0  | 108  | 0.3125          | {'0': {'precision': 0.9694085656016316, 'recall': 0.8957286432160804, 'f1-score': 0.9311132876265099, 'support': 1592.0}, '1': {'precision': 0.5643044619422573, 'recall': 0.8269230769230769, 'f1-score': 0.6708268330733229, 'support': 260.0}, 'accuracy': 0.8860691144708424, 'macro avg': {'precision': 0.7668565137719444, 'recall': 0.8613258600695786, 'f1-score': 0.8009700603499164, 'support': 1852.0}, 'weighted avg': {'precision': 0.9125364992131665, 'recall': 0.8860691144708424, 'f1-score': 0.8945719927108358, 'support': 1852.0}} |
+| No log        | 13.0  | 117  | 0.3455          | {'0': {'precision': 0.9647137150466045, 'recall': 0.910175879396985, 'f1-score': 0.9366515837104072, 'support': 1592.0}, '1': {'precision': 0.5914285714285714, 'recall': 0.7961538461538461, 'f1-score': 0.6786885245901639, 'support': 260.0}, 'accuracy': 0.8941684665226782, 'macro avg': {'precision': 0.778071143237588, 'recall': 0.8531648627754156, 'f1-score': 0.8076700541502856, 'support': 1852.0}, 'weighted avg': {'precision': 0.9123086732859735, 'recall': 0.8941684665226782, 'f1-score': 0.9004364674192284, 'support': 1852.0}}   |
+| No log        | 14.0  | 126  | 0.3243          | {'0': {'precision': 0.9845320959010054, 'recall': 0.7996231155778895, 'f1-score': 0.8824956672443675, 'support': 1592.0}, '1': {'precision': 0.4293381037567084, 'recall': 0.9230769230769231, 'f1-score': 0.5860805860805861, 'support': 260.0}, 'accuracy': 0.8169546436285097, 'macro avg': {'precision': 0.7069350998288569, 'recall': 0.8613500193274063, 'f1-score': 0.7342881266624768, 'support': 1852.0}, 'weighted avg': {'precision': 0.9065890948440307, 'recall': 0.8169546436285097, 'f1-score': 0.8408823189168387, 'support': 1852.0}} |
+| No log        | 15.0  | 135  | 0.3337          | {'0': {'precision': 0.9653564290473018, 'recall': 0.910175879396985, 'f1-score': 0.9369544131910766, 'support': 1592.0}, '1': {'precision': 0.5925925925925926, 'recall': 0.8, 'f1-score': 0.6808510638297872, 'support': 260.0}, 'accuracy': 0.8947084233261339, 'macro avg': {'precision': 0.7789745108199472, 'recall': 0.8550879396984925, 'f1-score': 0.8089027385104319, 'support': 1852.0}, 'weighted avg': {'precision': 0.9130245729575478, 'recall': 0.8947084233261339, 'f1-score': 0.9010003792634658, 'support': 1852.0}}                 |
+| No log        | 16.0  | 144  | 0.3299          | {'0': {'precision': 0.9712328767123287, 'recall': 0.8907035175879398, 'f1-score': 0.9292267365661862, 'support': 1592.0}, '1': {'precision': 0.5561224489795918, 'recall': 0.8384615384615385, 'f1-score': 0.6687116564417178, 'support': 260.0}, 'accuracy': 0.8833693304535637, 'macro avg': {'precision': 0.7636776628459603, 'recall': 0.8645825280247391, 'f1-score': 0.798969196503952, 'support': 1852.0}, 'weighted avg': {'precision': 0.9129560348060051, 'recall': 0.8833693304535637, 'f1-score': 0.892653345188021, 'support': 1852.0}}   |
+| No log        | 17.0  | 153  | 0.3728          | {'0': {'precision': 0.9658344283837057, 'recall': 0.9233668341708543, 'f1-score': 0.9441233140655106, 'support': 1592.0}, '1': {'precision': 0.6303030303030303, 'recall': 0.8, 'f1-score': 0.7050847457627119, 'support': 260.0}, 'accuracy': 0.906047516198704, 'macro avg': {'precision': 0.7980687293433679, 'recall': 0.8616834170854272, 'f1-score': 0.8246040299141113, 'support': 1852.0}, 'weighted avg': {'precision': 0.9187295884803712, 'recall': 0.906047516198704, 'f1-score': 0.9105649837422236, 'support': 1852.0}}                  |
+| No log        | 18.0  | 162  | 0.3379          | {'0': {'precision': 0.9749303621169917, 'recall': 0.8793969849246231, 'f1-score': 0.9247027741083224, 'support': 1592.0}, '1': {'precision': 0.5384615384615384, 'recall': 0.8615384615384616, 'f1-score': 0.6627218934911243, 'support': 260.0}, 'accuracy': 0.8768898488120951, 'macro avg': {'precision': 0.7566959502892651, 'recall': 0.8704677232315423, 'f1-score': 0.7937123337997234, 'support': 1852.0}, 'weighted avg': {'precision': 0.9136550413014313, 'recall': 0.8768898488120951, 'f1-score': 0.8879236008035322, 'support': 1852.0}} |
+| No log        | 19.0  | 171  | 0.3739          | {'0': {'precision': 0.9697173620457604, 'recall': 0.9051507537688442, 'f1-score': 0.9363222871994802, 'support': 1592.0}, '1': {'precision': 0.587431693989071, 'recall': 0.8269230769230769, 'f1-score': 0.6869009584664537, 'support': 260.0}, 'accuracy': 0.8941684665226782, 'macro avg': {'precision': 0.7785745280174157, 'recall': 0.8660369153459606, 'f1-score': 0.811611622832967, 'support': 1852.0}, 'weighted avg': {'precision': 0.9160487477397457, 'recall': 0.8941684665226782, 'f1-score': 0.9013063339216255, 'support': 1852.0}}   |
+| No log        | 20.0  | 180  | 0.4710          | {'0': {'precision': 0.9621409921671018, 'recall': 0.9258793969849246, 'f1-score': 0.9436619718309859, 'support': 1592.0}, '1': {'precision': 0.63125, 'recall': 0.7769230769230769, 'f1-score': 0.696551724137931, 'support': 260.0}, 'accuracy': 0.9049676025917927, 'macro avg': {'precision': 0.7966954960835508, 'recall': 0.8514012369540007, 'f1-score': 0.8201068479844584, 'support': 1852.0}, 'weighted avg': {'precision': 0.9156876131371632, 'recall': 0.9049676025917927, 'f1-score': 0.9089704683751574, 'support': 1852.0}}             |
+| No log        | 21.0  | 189  | 0.5394          | {'0': {'precision': 0.9534005037783375, 'recall': 0.9510050251256281, 'f1-score': 0.9522012578616352, 'support': 1592.0}, '1': {'precision': 0.7045454545454546, 'recall': 0.7153846153846154, 'f1-score': 0.7099236641221374, 'support': 260.0}, 'accuracy': 0.91792656587473, 'macro avg': {'precision': 0.828972979161896, 'recall': 0.8331948202551218, 'f1-score': 0.8310624609918863, 'support': 1852.0}, 'weighted avg': {'precision': 0.9184640497823604, 'recall': 0.91792656587473, 'f1-score': 0.9181882047448591, 'support': 1852.0}}      |
+| No log        | 22.0  | 198  | 0.4523          | {'0': {'precision': 0.9604922279792746, 'recall': 0.9315326633165829, 'f1-score': 0.9457908163265306, 'support': 1592.0}, '1': {'precision': 0.6461038961038961, 'recall': 0.7653846153846153, 'f1-score': 0.7007042253521126, 'support': 260.0}, 'accuracy': 0.908207343412527, 'macro avg': {'precision': 0.8032980620415853, 'recall': 0.8484586393505991, 'f1-score': 0.8232475208393216, 'support': 1852.0}, 'weighted avg': {'precision': 0.9163556371112409, 'recall': 0.908207343412527, 'f1-score': 0.9113834115461047, 'support': 1852.0}}   |
+| No log        | 23.0  | 207  | 0.4822          | {'0': {'precision': 0.9571337172104927, 'recall': 0.9396984924623115, 'f1-score': 0.9483359746434231, 'support': 1592.0}, '1': {'precision': 0.6678200692041523, 'recall': 0.7423076923076923, 'f1-score': 0.7030965391621129, 'support': 260.0}, 'accuracy': 0.911987041036717, 'macro avg': {'precision': 0.8124768932073225, 'recall': 0.8410030923850019, 'f1-score': 0.8257162569027681, 'support': 1852.0}, 'weighted avg': {'precision': 0.9165173303413521, 'recall': 0.911987041036717, 'f1-score': 0.9139071122108418, 'support': 1852.0}}   |
+| No log        | 24.0  | 216  | 0.4361          | {'0': {'precision': 0.9707252162341983, 'recall': 0.9164572864321608, 'f1-score': 0.9428109854604201, 'support': 1592.0}, '1': {'precision': 0.6189111747851003, 'recall': 0.8307692307692308, 'f1-score': 0.7093596059113301, 'support': 260.0}, 'accuracy': 0.9044276457883369, 'macro avg': {'precision': 0.7948181955096493, 'recall': 0.8736132586006958, 'f1-score': 0.8260852956858751, 'support': 1852.0}, 'weighted avg': {'precision': 0.9213344760739578, 'recall': 0.9044276457883369, 'f1-score': 0.9100370336878697, 'support': 1852.0}} |
+| No log        | 25.0  | 225  | 0.5097          | {'0': {'precision': 0.9572431397574984, 'recall': 0.9422110552763819, 'f1-score': 0.949667616334283, 'support': 1592.0}, '1': {'precision': 0.6771929824561403, 'recall': 0.7423076923076923, 'f1-score': 0.708256880733945, 'support': 260.0}, 'accuracy': 0.9141468682505399, 'macro avg': {'precision': 0.8172180611068194, 'recall': 0.8422593737920372, 'f1-score': 0.8289622485341139, 'support': 1852.0}, 'weighted avg': {'precision': 0.9179272429441327, 'recall': 0.9141468682505399, 'f1-score': 0.915776260364473, 'support': 1852.0}}    |
+| No log        | 26.0  | 234  | 0.5464          | {'0': {'precision': 0.9557242251739405, 'recall': 0.9491206030150754, 'f1-score': 0.952410967538607, 'support': 1592.0}, '1': {'precision': 0.7011070110701108, 'recall': 0.7307692307692307, 'f1-score': 0.7156308851224106, 'support': 260.0}, 'accuracy': 0.9184665226781857, 'macro avg': {'precision': 0.8284156181220257, 'recall': 0.8399449168921531, 'f1-score': 0.8340209263305087, 'support': 1852.0}, 'weighted avg': {'precision': 0.9199788279455411, 'recall': 0.9184665226781857, 'f1-score': 0.9191697032685147, 'support': 1852.0}}  |
+| No log        | 27.0  | 243  | 0.6140          | {'0': {'precision': 0.9512804497189257, 'recall': 0.9566582914572864, 'f1-score': 0.9539617914187285, 'support': 1592.0}, '1': {'precision': 0.7250996015936255, 'recall': 0.7, 'f1-score': 0.7123287671232876, 'support': 260.0}, 'accuracy': 0.9206263498920086, 'macro avg': {'precision': 0.8381900256562755, 'recall': 0.8283291457286432, 'f1-score': 0.8331452792710081, 'support': 1852.0}, 'weighted avg': {'precision': 0.9195271989021989, 'recall': 0.9206263498920086, 'f1-score': 0.9200392286126731, 'support': 1852.0}}                |
+| No log        | 28.0  | 252  | 0.6173          | {'0': {'precision': 0.9558638083228247, 'recall': 0.9522613065326633, 'f1-score': 0.9540591567023285, 'support': 1592.0}, '1': {'precision': 0.7142857142857143, 'recall': 0.7307692307692307, 'f1-score': 0.7224334600760456, 'support': 260.0}, 'accuracy': 0.9211663066954644, 'macro avg': {'precision': 0.8350747613042695, 'recall': 0.8415152686509471, 'f1-score': 0.8382463083891871, 'support': 1852.0}, 'weighted avg': {'precision': 0.9219489571081116, 'recall': 0.9211663066954644, 'f1-score': 0.92154151030771, 'support': 1852.0}}   |
+| No log        | 29.0  | 261  | 0.5734          | {'0': {'precision': 0.9615885416666666, 'recall': 0.9277638190954773, 'f1-score': 0.9443734015345269, 'support': 1592.0}, '1': {'precision': 0.6360759493670886, 'recall': 0.7730769230769231, 'f1-score': 0.6979166666666666, 'support': 260.0}, 'accuracy': 0.906047516198704, 'macro avg': {'precision': 0.7988322455168776, 'recall': 0.8504203710862002, 'f1-score': 0.8211450341005968, 'support': 1852.0}, 'weighted avg': {'precision': 0.9158902295727733, 'recall': 0.906047516198704, 'f1-score': 0.9097736439396868, 'support': 1852.0}}   |
+| No log        | 30.0  | 270  | 0.7530          | {'0': {'precision': 0.9458794587945879, 'recall': 0.9660804020100503, 'f1-score': 0.9558732131758857, 'support': 1592.0}, '1': {'precision': 0.7610619469026548, 'recall': 0.6615384615384615, 'f1-score': 0.7078189300411523, 'support': 260.0}, 'accuracy': 0.9233261339092873, 'macro avg': {'precision': 0.8534707028486214, 'recall': 0.8138094317742559, 'f1-score': 0.831846071608519, 'support': 1852.0}, 'weighted avg': {'precision': 0.9199331558291977, 'recall': 0.9233261339092873, 'f1-score': 0.9210491777466036, 'support': 1852.0}}  |
+| No log        | 31.0  | 279  | 0.7472          | {'0': {'precision': 0.9467492260061919, 'recall': 0.960427135678392, 'f1-score': 0.9535391331462426, 'support': 1592.0}, '1': {'precision': 0.7341772151898734, 'recall': 0.6692307692307692, 'f1-score': 0.7002012072434608, 'support': 260.0}, 'accuracy': 0.9195464362850972, 'macro avg': {'precision': 0.8404632205980327, 'recall': 0.8148289524545806, 'f1-score': 0.8268701701948518, 'support': 1852.0}, 'weighted avg': {'precision': 0.9169065031054129, 'recall': 0.9195464362850972, 'f1-score': 0.9179733336134547, 'support': 1852.0}}  |
+| No log        | 32.0  | 288  | 0.7831          | {'0': {'precision': 0.9490999379267536, 'recall': 0.960427135678392, 'f1-score': 0.9547299406806119, 'support': 1592.0}, '1': {'precision': 0.7385892116182573, 'recall': 0.6846153846153846, 'f1-score': 0.7105788423153693, 'support': 260.0}, 'accuracy': 0.92170626349892, 'macro avg': {'precision': 0.8438445747725054, 'recall': 0.8225212601468883, 'f1-score': 0.8326543914979906, 'support': 1852.0}, 'weighted avg': {'precision': 0.9195465962203773, 'recall': 0.92170626349892, 'f1-score': 0.9204538685559018, 'support': 1852.0}}      |
+| No log        | 33.0  | 297  | 0.7511          | {'0': {'precision': 0.9508196721311475, 'recall': 0.9472361809045227, 'f1-score': 0.9490245437382001, 'support': 1592.0}, '1': {'precision': 0.6842105263157895, 'recall': 0.7, 'f1-score': 0.6920152091254753, 'support': 260.0}, 'accuracy': 0.9125269978401728, 'macro avg': {'precision': 0.8175150992234685, 'recall': 0.8236180904522613, 'f1-score': 0.8205198764318378, 'support': 1852.0}, 'weighted avg': {'precision': 0.9133907423730518, 'recall': 0.9125269978401728, 'f1-score': 0.9129433196565, 'support': 1852.0}}                   |
+| No log        | 34.0  | 306  | 0.8733          | {'0': {'precision': 0.9489414694894147, 'recall': 0.957286432160804, 'f1-score': 0.9530956848030019, 'support': 1592.0}, '1': {'precision': 0.7235772357723578, 'recall': 0.6846153846153846, 'f1-score': 0.7035573122529645, 'support': 260.0}, 'accuracy': 0.9190064794816415, 'macro avg': {'precision': 0.8362593526308862, 'recall': 0.8209509083880944, 'f1-score': 0.8283264985279832, 'support': 1852.0}, 'weighted avg': {'precision': 0.917302862164126, 'recall': 0.9190064794816415, 'f1-score': 0.9180632998877698, 'support': 1852.0}}   |
+| No log        | 35.0  | 315  | 0.9849          | {'0': {'precision': 0.9424372320881813, 'recall': 0.9667085427135679, 'f1-score': 0.9544186046511628, 'support': 1592.0}, '1': {'precision': 0.7579908675799086, 'recall': 0.6384615384615384, 'f1-score': 0.6931106471816284, 'support': 260.0}, 'accuracy': 0.9206263498920086, 'macro avg': {'precision': 0.8502140498340449, 'recall': 0.8025850405875532, 'f1-score': 0.8237646259163955, 'support': 1852.0}, 'weighted avg': {'precision': 0.9165430340470632, 'recall': 0.9206263498920086, 'f1-score': 0.9177339021986364, 'support': 1852.0}} |
+| No log        | 36.0  | 324  | 0.9935          | {'0': {'precision': 0.943523634131369, 'recall': 0.9654522613065326, 'f1-score': 0.9543619993790748, 'support': 1592.0}, '1': {'precision': 0.7533632286995515, 'recall': 0.6461538461538462, 'f1-score': 0.6956521739130435, 'support': 260.0}, 'accuracy': 0.9206263498920086, 'macro avg': {'precision': 0.8484434314154603, 'recall': 0.8058030537301895, 'f1-score': 0.8250070866460592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9168272489195588, 'recall': 0.9206263498920086, 'f1-score': 0.9180420454799559, 'support': 1852.0}}  |
+| No log        | 37.0  | 333  | 0.9293          | {'0': {'precision': 0.9505941213258287, 'recall': 0.9547738693467337, 'f1-score': 0.9526794108429959, 'support': 1592.0}, '1': {'precision': 0.7154150197628458, 'recall': 0.6961538461538461, 'f1-score': 0.7056530214424951, 'support': 260.0}, 'accuracy': 0.9184665226781857, 'macro avg': {'precision': 0.8330045705443372, 'recall': 0.82546385775029, 'f1-score': 0.8291662161427455, 'support': 1852.0}, 'weighted avg': {'precision': 0.9175776167867491, 'recall': 0.9184665226781857, 'f1-score': 0.9179996801496211, 'support': 1852.0}}   |
+| No log        | 38.0  | 342  | 1.0190          | {'0': {'precision': 0.946229913473424, 'recall': 0.9616834170854272, 'f1-score': 0.9538940809968848, 'support': 1592.0}, '1': {'precision': 0.7393162393162394, 'recall': 0.6653846153846154, 'f1-score': 0.7004048582995951, 'support': 260.0}, 'accuracy': 0.9200863930885529, 'macro avg': {'precision': 0.8427730763948317, 'recall': 0.8135340162350213, 'f1-score': 0.82714946964824, 'support': 1852.0}, 'weighted avg': {'precision': 0.9171815574902339, 'recall': 0.9200863930885529, 'f1-score': 0.9183070410933777, 'support': 1852.0}}    |
+| No log        | 39.0  | 351  | 0.9740          | {'0': {'precision': 0.95, 'recall': 0.9547738693467337, 'f1-score': 0.9523809523809523, 'support': 1592.0}, '1': {'precision': 0.7142857142857143, 'recall': 0.6923076923076923, 'f1-score': 0.703125, 'support': 260.0}, 'accuracy': 0.91792656587473, 'macro avg': {'precision': 0.8321428571428571, 'recall': 0.823540780827213, 'f1-score': 0.8277529761904762, 'support': 1852.0}, 'weighted avg': {'precision': 0.9169083616167849, 'recall': 0.91792656587473, 'f1-score': 0.9173882160855703, 'support': 1852.0}}                              |
+| No log        | 40.0  | 360  | 0.9943          | {'0': {'precision': 0.9487820112429731, 'recall': 0.9541457286432161, 'f1-score': 0.9514563106796117, 'support': 1592.0}, '1': {'precision': 0.7091633466135459, 'recall': 0.6846153846153846, 'f1-score': 0.6966731898238747, 'support': 260.0}, 'accuracy': 0.9163066954643628, 'macro avg': {'precision': 0.8289726789282594, 'recall': 0.8193805566293004, 'f1-score': 0.8240647502517432, 'support': 1852.0}, 'weighted avg': {'precision': 0.915142241910548, 'recall': 0.9163066954643628, 'f1-score': 0.9156876220065602, 'support': 1852.0}}  |
+| No log        | 41.0  | 369  | 1.0258          | {'0': {'precision': 0.9489732420659615, 'recall': 0.9579145728643216, 'f1-score': 0.9534229446702095, 'support': 1592.0}, '1': {'precision': 0.726530612244898, 'recall': 0.6846153846153846, 'f1-score': 0.7049504950495049, 'support': 260.0}, 'accuracy': 0.9195464362850972, 'macro avg': {'precision': 0.8377519271554297, 'recall': 0.8212649787398532, 'f1-score': 0.8291867198598573, 'support': 1852.0}, 'weighted avg': {'precision': 0.9177447951148402, 'recall': 0.9195464362850972, 'f1-score': 0.9185402033627671, 'support': 1852.0}}  |
+| No log        | 42.0  | 378  | 1.0041          | {'0': {'precision': 0.951188986232791, 'recall': 0.9547738693467337, 'f1-score': 0.9529780564263323, 'support': 1592.0}, '1': {'precision': 0.7165354330708661, 'recall': 0.7, 'f1-score': 0.708171206225681, 'support': 260.0}, 'accuracy': 0.9190064794816415, 'macro avg': {'precision': 0.8338622096518286, 'recall': 0.8273869346733669, 'f1-score': 0.8305746313260066, 'support': 1852.0}, 'weighted avg': {'precision': 0.9182462627867324, 'recall': 0.9190064794816415, 'f1-score': 0.9186099241087462, 'support': 1852.0}}                  |
+| No log        | 43.0  | 387  | 1.0548          | {'0': {'precision': 0.9473358116480793, 'recall': 0.960427135678392, 'f1-score': 0.9538365564566438, 'support': 1592.0}, '1': {'precision': 0.7352941176470589, 'recall': 0.6730769230769231, 'f1-score': 0.7028112449799196, 'support': 260.0}, 'accuracy': 0.9200863930885529, 'macro avg': {'precision': 0.841314964647569, 'recall': 0.8167520293776576, 'f1-score': 0.8283239007182817, 'support': 1852.0}, 'weighted avg': {'precision': 0.9175675392721262, 'recall': 0.9200863930885529, 'f1-score': 0.9185954220160668, 'support': 1852.0}}   |
+| No log        | 44.0  | 396  | 1.0540          | {'0': {'precision': 0.9484472049689441, 'recall': 0.9591708542713567, 'f1-score': 0.9537788881948782, 'support': 1592.0}, '1': {'precision': 0.731404958677686, 'recall': 0.6807692307692308, 'f1-score': 0.7051792828685259, 'support': 260.0}, 'accuracy': 0.9200863930885529, 'macro avg': {'precision': 0.839926081823315, 'recall': 0.8199700425202938, 'f1-score': 0.829479085531702, 'support': 1852.0}, 'weighted avg': {'precision': 0.917976911213152, 'recall': 0.9200863930885529, 'f1-score': 0.9188782956544617, 'support': 1852.0}}     |
+| No log        | 45.0  | 405  | 1.0346          | {'0': {'precision': 0.951310861423221, 'recall': 0.957286432160804, 'f1-score': 0.9542892924232936, 'support': 1592.0}, '1': {'precision': 0.728, 'recall': 0.7, 'f1-score': 0.7137254901960784, 'support': 260.0}, 'accuracy': 0.9211663066954644, 'macro avg': {'precision': 0.8396554307116104, 'recall': 0.828643216080402, 'f1-score': 0.834007391309686, 'support': 1852.0}, 'weighted avg': {'precision': 0.9199605245063541, 'recall': 0.9211663066954644, 'f1-score': 0.9205168363870755, 'support': 1852.0}}                                 |
+| No log        | 46.0  | 414  | 1.0542          | {'0': {'precision': 0.9495641344956414, 'recall': 0.9579145728643216, 'f1-score': 0.9537210756722951, 'support': 1592.0}, '1': {'precision': 0.7276422764227642, 'recall': 0.6884615384615385, 'f1-score': 0.7075098814229249, 'support': 260.0}, 'accuracy': 0.9200863930885529, 'macro avg': {'precision': 0.8386032054592027, 'recall': 0.8231880556629301, 'f1-score': 0.8306154785476101, 'support': 1852.0}, 'weighted avg': {'precision': 0.9184087980491252, 'recall': 0.9200863930885529, 'f1-score': 0.9191557892225994, 'support': 1852.0}} |
+| No log        | 47.0  | 423  | 1.0650          | {'0': {'precision': 0.9501557632398754, 'recall': 0.9579145728643216, 'f1-score': 0.9540193931811073, 'support': 1592.0}, '1': {'precision': 0.728744939271255, 'recall': 0.6923076923076923, 'f1-score': 0.7100591715976331, 'support': 260.0}, 'accuracy': 0.9206263498920086, 'macro avg': {'precision': 0.8394503512555652, 'recall': 0.825111132586007, 'f1-score': 0.8320392823893702, 'support': 1852.0}, 'weighted avg': {'precision': 0.919072170242121, 'recall': 0.9206263498920086, 'f1-score': 0.919770118012801, 'support': 1852.0}}     |
+| No log        | 48.0  | 432  | 1.0711          | {'0': {'precision': 0.9484151646985706, 'recall': 0.9585427135678392, 'f1-score': 0.9534520462355514, 'support': 1592.0}, '1': {'precision': 0.7283950617283951, 'recall': 0.6807692307692308, 'f1-score': 0.7037773359840954, 'support': 260.0}, 'accuracy': 0.9195464362850972, 'macro avg': {'precision': 0.8384051132134829, 'recall': 0.819655972168535, 'f1-score': 0.8286146911098233, 'support': 1852.0}, 'weighted avg': {'precision': 0.917526813309669, 'recall': 0.9195464362850972, 'f1-score': 0.9184005210382628, 'support': 1852.0}}   |
+| No log        | 49.0  | 441  | 1.0641          | {'0': {'precision': 0.9501557632398754, 'recall': 0.9579145728643216, 'f1-score': 0.9540193931811073, 'support': 1592.0}, '1': {'precision': 0.728744939271255, 'recall': 0.6923076923076923, 'f1-score': 0.7100591715976331, 'support': 260.0}, 'accuracy': 0.9206263498920086, 'macro avg': {'precision': 0.8394503512555652, 'recall': 0.825111132586007, 'f1-score': 0.8320392823893702, 'support': 1852.0}, 'weighted avg': {'precision': 0.919072170242121, 'recall': 0.9206263498920086, 'f1-score': 0.919770118012801, 'support': 1852.0}}     |
+| No log        | 50.0  | 450  | 1.0768          | {'0': {'precision': 0.9484792054624457, 'recall': 0.9597989949748744, 'f1-score': 0.95410552606931, 'support': 1592.0}, '1': {'precision': 0.7344398340248963, 'recall': 0.6807692307692308, 'f1-score': 0.7065868263473054, 'support': 260.0}, 'accuracy': 0.9206263498920086, 'macro avg': {'precision': 0.841459519743671, 'recall': 0.8202841128720526, 'f1-score': 0.8303461762083078, 'support': 1852.0}, 'weighted avg': {'precision': 0.918430481610522, 'recall': 0.9206263498920086, 'f1-score': 0.9193566805359832, 'support': 1852.0}}     |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2a3c6e98b19f60ef96a432024bd9e77c5b38ec49332ee7ee64b965a5825073f0
+oid sha256:4633f2011832bdce61651b0dd8b2331ded4d869761f206c03819c8b1436cf6cd
 size 1583351632