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: 0.9073
-- Classification Report: {'0': {'precision': 0.9506866416978776, 'recall': 0.9566582914572864, 'f1-score': 0.9536631183469004, 'support': 1592.0}, '1': {'precision': 0.724, 'recall': 0.6961538461538461, 'f1-score': 0.7098039215686275, 'support': 260.0}, 'accuracy': 0.9200863930885529, 'macro avg': {'precision': 0.8373433208489388, 'recall': 0.8264060688055663, 'f1-score': 0.831733519957764, 'support': 1852.0}, 'weighted avg': {'precision': 0.91886238314418, 'recall': 0.9200863930885529, 'f1-score': 0.9194280259266244, 'support': 1852.0}}
+- 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}}
 
 ## 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    | 0.4858          | {'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   | 0.4306          | {'0': {'precision': 0.9797421731123389, 'recall': 0.6683417085427136, 'f1-score': 0.79462285287528, 'support': 1592.0}, '1': {'precision': 0.31070496083550914, 'recall': 0.9153846153846154, 'f1-score': 0.46393762183235865, 'support': 260.0}, 'accuracy': 0.703023758099352, 'macro avg': {'precision': 0.645223566973924, 'recall': 0.7918631619636645, 'f1-score': 0.6292802373538193, 'support': 1852.0}, 'weighted avg': {'precision': 0.8858168625335183, 'recall': 0.703023758099352, 'f1-score': 0.7481983603962522, 'support': 1852.0}}     |
-| No log        | 3.0   | 27   | 0.3970          | {'0': {'precision': 0.9707016191210486, 'recall': 0.7908291457286433, 'f1-score': 0.8715818622360678, 'support': 1592.0}, '1': {'precision': 0.4, 'recall': 0.8538461538461538, 'f1-score': 0.5447852760736196, 'support': 260.0}, 'accuracy': 0.7996760259179265, 'macro avg': {'precision': 0.6853508095605243, 'recall': 0.8223376497873985, 'f1-score': 0.7081835691548437, 'support': 1852.0}, 'weighted avg': {'precision': 0.8905815214042707, 'recall': 0.7996760259179265, 'f1-score': 0.825703291824493, 'support': 1852.0}}                  |
-| No log        | 4.0   | 36   | 0.4288          | {'0': {'precision': 0.9431891542930924, 'recall': 0.917713567839196, 'f1-score': 0.9302769818529131, 'support': 1592.0}, '1': {'precision': 0.5676567656765676, 'recall': 0.6615384615384615, 'f1-score': 0.61101243339254, 'support': 260.0}, 'accuracy': 0.8817494600431965, 'macro avg': {'precision': 0.75542295998483, 'recall': 0.7896260146888288, 'f1-score': 0.7706447076227265, 'support': 1852.0}, 'weighted avg': {'precision': 0.8904686245737099, 'recall': 0.8817494600431965, 'f1-score': 0.8854558249416297, 'support': 1852.0}}       |
-| No log        | 5.0   | 45   | 0.3387          | {'0': {'precision': 0.9824293353705118, 'recall': 0.8077889447236181, 'f1-score': 0.8865908307480179, 'support': 1592.0}, '1': {'precision': 0.43646408839779005, 'recall': 0.9115384615384615, 'f1-score': 0.5902864259028643, 'support': 260.0}, 'accuracy': 0.822354211663067, 'macro avg': {'precision': 0.709446711884151, 'recall': 0.8596637031310398, 'f1-score': 0.7384386283254412, 'support': 1852.0}, 'weighted avg': {'precision': 0.9057819464866524, 'recall': 0.822354211663067, 'f1-score': 0.8449930201326077, 'support': 1852.0}}    |
-| No log        | 6.0   | 54   | 0.3188          | {'0': {'precision': 0.9801178203240059, 'recall': 0.8360552763819096, 'f1-score': 0.9023728813559322, 'support': 1592.0}, '1': {'precision': 0.4716599190283401, 'recall': 0.8961538461538462, 'f1-score': 0.6180371352785146, 'support': 260.0}, 'accuracy': 0.8444924406047516, 'macro avg': {'precision': 0.7258888696761729, 'recall': 0.8661045612678779, 'f1-score': 0.7602050083172234, 'support': 1852.0}, 'weighted avg': {'precision': 0.9087360415243984, 'recall': 0.8444924406047516, 'f1-score': 0.8624553360102903, 'support': 1852.0}}  |
-| No log        | 7.0   | 63   | 0.3201          | {'0': {'precision': 0.9748778785764132, 'recall': 0.8775125628140703, 'f1-score': 0.9236363636363636, 'support': 1592.0}, '1': {'precision': 0.5346062052505967, 'recall': 0.8615384615384616, 'f1-score': 0.6597938144329897, 'support': 260.0}, 'accuracy': 0.8752699784017278, 'macro avg': {'precision': 0.7547420419135049, 'recall': 0.869525512176266, 'f1-score': 0.7917150890346767, 'support': 1852.0}, 'weighted avg': {'precision': 0.9130686803773245, 'recall': 0.8752699784017278, 'f1-score': 0.8865958329706631, 'support': 1852.0}}   |
-| No log        | 8.0   | 72   | 0.5406          | {'0': {'precision': 0.9192692987625221, 'recall': 0.9798994974874372, 'f1-score': 0.9486166007905138, 'support': 1592.0}, '1': {'precision': 0.7935483870967742, 'recall': 0.47307692307692306, 'f1-score': 0.5927710843373494, 'support': 260.0}, 'accuracy': 0.9087473002159827, 'macro avg': {'precision': 0.8564088429296481, 'recall': 0.7264882102821801, 'f1-score': 0.7706938425639316, 'support': 1852.0}, 'weighted avg': {'precision': 0.9016194947489721, 'recall': 0.9087473002159827, 'f1-score': 0.8986598868176074, 'support': 1852.0}} |
-| No log        | 9.0   | 81   | 0.3013          | {'0': {'precision': 0.9760056457304164, 'recall': 0.8687185929648241, 'f1-score': 0.9192422731804586, 'support': 1592.0}, '1': {'precision': 0.5195402298850574, 'recall': 0.8692307692307693, 'f1-score': 0.6503597122302158, 'support': 260.0}, 'accuracy': 0.8687904967602592, 'macro avg': {'precision': 0.7477729378077369, 'recall': 0.8689746810977967, 'f1-score': 0.7848009927053372, 'support': 1852.0}, 'weighted avg': {'precision': 0.9119230279551499, 'recall': 0.8687904967602592, 'f1-score': 0.8814941814703814, 'support': 1852.0}}  |
-| No log        | 10.0  | 90   | 0.5003          | {'0': {'precision': 0.9357964869775893, 'recall': 0.9704773869346733, 'f1-score': 0.9528214616096207, 'support': 1592.0}, '1': {'precision': 0.7661691542288557, 'recall': 0.5923076923076923, 'f1-score': 0.6681127982646421, 'support': 260.0}, 'accuracy': 0.9173866090712743, 'macro avg': {'precision': 0.8509828206032225, 'recall': 0.7813925396211828, 'f1-score': 0.8104671299371313, 'support': 1852.0}, 'weighted avg': {'precision': 0.9119827145614603, 'recall': 0.9173866090712743, 'f1-score': 0.9128515628678849, 'support': 1852.0}}  |
-| No log        | 11.0  | 99   | 0.3786          | {'0': {'precision': 0.9515418502202643, 'recall': 0.949748743718593, 'f1-score': 0.9506444514303678, 'support': 1592.0}, '1': {'precision': 0.6958174904942965, 'recall': 0.7038461538461539, 'f1-score': 0.6998087954110899, 'support': 260.0}, 'accuracy': 0.9152267818574514, 'macro avg': {'precision': 0.8236796703572804, 'recall': 0.8267974487823735, 'f1-score': 0.8252266234207288, 'support': 1852.0}, 'weighted avg': {'precision': 0.9156410221809815, 'recall': 0.9152267818574514, 'f1-score': 0.9154299424859768, 'support': 1852.0}}   |
-| No log        | 12.0  | 108  | 0.3033          | {'0': {'precision': 0.9724896836313618, 'recall': 0.8881909547738693, 'f1-score': 0.9284307288246881, 'support': 1592.0}, '1': {'precision': 0.5527638190954773, 'recall': 0.8461538461538461, 'f1-score': 0.668693009118541, 'support': 260.0}, 'accuracy': 0.8822894168466523, 'macro avg': {'precision': 0.7626267513634195, 'recall': 0.8671724004638577, 'f1-score': 0.7985618689716145, 'support': 1852.0}, 'weighted avg': {'precision': 0.9135648862343154, 'recall': 0.8822894168466523, 'f1-score': 0.8919664701186415, 'support': 1852.0}}   |
-| No log        | 13.0  | 117  | 0.2893          | {'0': {'precision': 0.9823399558498896, 'recall': 0.8385678391959799, 'f1-score': 0.904778041341918, 'support': 1592.0}, '1': {'precision': 0.4787018255578093, 'recall': 0.9076923076923077, 'f1-score': 0.6268260292164675, 'support': 260.0}, 'accuracy': 0.8482721382289417, 'macro avg': {'precision': 0.7305208907038495, 'recall': 0.8731300734441438, 'f1-score': 0.7658020352791928, 'support': 1852.0}, 'weighted avg': {'precision': 0.9116348187678481, 'recall': 0.8482721382289417, 'f1-score': 0.8657567005467682, 'support': 1852.0}}   |
-| No log        | 14.0  | 126  | 0.2962          | {'0': {'precision': 0.9817117776152158, 'recall': 0.842964824120603, 'f1-score': 0.9070631970260223, 'support': 1592.0}, '1': {'precision': 0.4845360824742268, 'recall': 0.9038461538461539, 'f1-score': 0.6308724832214765, 'support': 260.0}, 'accuracy': 0.8515118790496761, 'macro avg': {'precision': 0.7331239300447213, 'recall': 0.8734054889833784, 'f1-score': 0.7689678401237494, 'support': 1852.0}, 'weighted avg': {'precision': 0.9119138938481224, 'recall': 0.8515118790496761, 'f1-score': 0.8682891227338074, 'support': 1852.0}}   |
-| No log        | 15.0  | 135  | 0.2999          | {'0': {'precision': 0.9724517906336089, 'recall': 0.8869346733668342, 'f1-score': 0.9277266754270697, 'support': 1592.0}, '1': {'precision': 0.55, 'recall': 0.8461538461538461, 'f1-score': 0.6666666666666666, 'support': 260.0}, 'accuracy': 0.8812095032397408, 'macro avg': {'precision': 0.7612258953168045, 'recall': 0.8665442597603401, 'f1-score': 0.7971966710468681, 'support': 1852.0}, 'weighted avg': {'precision': 0.9131443038275947, 'recall': 0.8812095032397408, 'f1-score': 0.8910767821885681, 'support': 1852.0}}                |
-| No log        | 16.0  | 144  | 0.3150          | {'0': {'precision': 0.9717241379310345, 'recall': 0.8850502512562815, 'f1-score': 0.9263642340565418, 'support': 1592.0}, '1': {'precision': 0.5447761194029851, 'recall': 0.8423076923076923, 'f1-score': 0.6616314199395771, 'support': 260.0}, 'accuracy': 0.8790496760259179, 'macro avg': {'precision': 0.7582501286670098, 'recall': 0.8636789717819868, 'f1-score': 0.7939978269980594, 'support': 1852.0}, 'weighted avg': {'precision': 0.9117854312262327, 'recall': 0.8790496760259179, 'f1-score': 0.8891987201956287, 'support': 1852.0}}  |
-| No log        | 17.0  | 153  | 0.3029          | {'0': {'precision': 0.9771265189421015, 'recall': 0.8586683417085427, 'f1-score': 0.9140755600133734, 'support': 1592.0}, '1': {'precision': 0.5033112582781457, 'recall': 0.8769230769230769, 'f1-score': 0.6395511921458625, 'support': 260.0}, 'accuracy': 0.8612311015118791, 'macro avg': {'precision': 0.7402188886101235, 'recall': 0.8677957093158097, 'f1-score': 0.776813376079618, 'support': 1852.0}, 'weighted avg': {'precision': 0.9106081778121724, 'recall': 0.8612311015118791, 'f1-score': 0.8755354219758179, 'support': 1852.0}}   |
-| No log        | 18.0  | 162  | 0.4483          | {'0': {'precision': 0.9490049751243781, 'recall': 0.9585427135678392, 'f1-score': 0.95375, 'support': 1592.0}, '1': {'precision': 0.7295081967213115, 'recall': 0.6846153846153846, 'f1-score': 0.7063492063492064, 'support': 260.0}, 'accuracy': 0.9200863930885529, 'macro avg': {'precision': 0.8392565859228448, 'recall': 0.821579049091612, 'f1-score': 0.8300496031746032, 'support': 1852.0}, 'weighted avg': {'precision': 0.9181900926271873, 'recall': 0.9200863930885529, 'f1-score': 0.9190177071548562, 'support': 1852.0}}              |
-| No log        | 19.0  | 171  | 0.3250          | {'0': {'precision': 0.9701492537313433, 'recall': 0.8982412060301508, 'f1-score': 0.9328114807566862, 'support': 1592.0}, '1': {'precision': 0.5714285714285714, 'recall': 0.8307692307692308, 'f1-score': 0.677115987460815, 'support': 260.0}, 'accuracy': 0.8887688984881209, 'macro avg': {'precision': 0.7707889125799574, 'recall': 0.8645052183996909, 'f1-score': 0.8049637341087506, 'support': 1852.0}, 'weighted avg': {'precision': 0.9141733480084919, 'recall': 0.8887688984881209, 'f1-score': 0.8969147052399872, 'support': 1852.0}}   |
-| No log        | 20.0  | 180  | 0.3295          | {'0': {'precision': 0.9803063457330415, 'recall': 0.8442211055276382, 'f1-score': 0.9071886601417483, 'support': 1592.0}, '1': {'precision': 0.48440748440748443, 'recall': 0.8961538461538462, 'f1-score': 0.6288798920377868, 'support': 260.0}, 'accuracy': 0.8515118790496761, 'macro avg': {'precision': 0.732356915070263, 'recall': 0.8701874758407422, 'f1-score': 0.7680342760897676, 'support': 1852.0}, 'weighted avg': {'precision': 0.9106877150933845, 'recall': 0.8515118790496761, 'f1-score': 0.8681172348139783, 'support': 1852.0}}  |
-| No log        | 21.0  | 189  | 0.4537          | {'0': {'precision': 0.9506558400999375, 'recall': 0.9560301507537688, 'f1-score': 0.9533354212339492, 'support': 1592.0}, '1': {'precision': 0.7211155378486056, 'recall': 0.6961538461538461, 'f1-score': 0.7084148727984344, 'support': 260.0}, 'accuracy': 0.9195464362850972, 'macro avg': {'precision': 0.8358856889742716, 'recall': 0.8260919984538075, 'f1-score': 0.8308751470161918, 'support': 1852.0}, 'weighted avg': {'precision': 0.9184309596542862, 'recall': 0.9195464362850972, 'f1-score': 0.9189513269611447, 'support': 1852.0}}  |
-| No log        | 22.0  | 198  | 0.5067          | {'0': {'precision': 0.9474335188620903, 'recall': 0.9623115577889447, 'f1-score': 0.954814583982549, 'support': 1592.0}, '1': {'precision': 0.7446808510638298, 'recall': 0.6730769230769231, 'f1-score': 0.7070707070707071, 'support': 260.0}, 'accuracy': 0.92170626349892, 'macro avg': {'precision': 0.84605718496296, 'recall': 0.8176942404329339, 'f1-score': 0.830942645526628, 'support': 1852.0}, 'weighted avg': {'precision': 0.9189693214390083, 'recall': 0.92170626349892, 'f1-score': 0.920034126100757, 'support': 1852.0}}           |
-| No log        | 23.0  | 207  | 0.5322          | {'0': {'precision': 0.9415347137637028, 'recall': 0.9711055276381909, 'f1-score': 0.956091527520099, 'support': 1592.0}, '1': {'precision': 0.780952380952381, 'recall': 0.6307692307692307, 'f1-score': 0.6978723404255319, 'support': 260.0}, 'accuracy': 0.9233261339092873, 'macro avg': {'precision': 0.8612435473580419, 'recall': 0.8009373792037109, 'f1-score': 0.8269819339728155, 'support': 1852.0}, 'weighted avg': {'precision': 0.918990757753474, 'recall': 0.9233261339092873, 'f1-score': 0.9198404537379242, 'support': 1852.0}}     |
-| No log        | 24.0  | 216  | 0.3741          | {'0': {'precision': 0.9659239842726082, 'recall': 0.9258793969849246, 'f1-score': 0.9454778704297627, 'support': 1592.0}, '1': {'precision': 0.6380368098159509, 'recall': 0.8, 'f1-score': 0.7098976109215017, 'support': 260.0}, 'accuracy': 0.908207343412527, 'macro avg': {'precision': 0.8019803970442796, 'recall': 0.8629396984924623, 'f1-score': 0.8276877406756322, 'support': 1852.0}, 'weighted avg': {'precision': 0.9198923075130342, 'recall': 0.908207343412527, 'f1-score': 0.9124050478206116, 'support': 1852.0}}                   |
-| No log        | 25.0  | 225  | 0.3313          | {'0': {'precision': 0.9733424470266575, 'recall': 0.8944723618090452, 'f1-score': 0.9322422258592471, 'support': 1592.0}, '1': {'precision': 0.5681233933161953, 'recall': 0.85, 'f1-score': 0.6810477657935285, 'support': 260.0}, 'accuracy': 0.8882289416846653, 'macro avg': {'precision': 0.7707329201714264, 'recall': 0.8722361809045226, 'f1-score': 0.8066449958263878, 'support': 1852.0}, 'weighted avg': {'precision': 0.9164542429420354, 'recall': 0.8882289416846653, 'f1-score': 0.8969773448565004, 'support': 1852.0}}                |
-| No log        | 26.0  | 234  | 0.3321          | {'0': {'precision': 0.9748953974895398, 'recall': 0.878140703517588, 'f1-score': 0.9239920687376074, 'support': 1592.0}, '1': {'precision': 0.5358851674641149, 'recall': 0.8615384615384616, 'f1-score': 0.6607669616519174, 'support': 260.0}, 'accuracy': 0.8758099352051836, 'macro avg': {'precision': 0.7553902824768273, 'recall': 0.8698395825280247, 'f1-score': 0.7923795151947624, 'support': 1852.0}, 'weighted avg': {'precision': 0.9132632917624284, 'recall': 0.8758099352051836, 'f1-score': 0.8870382200106747, 'support': 1852.0}}   |
-| No log        | 27.0  | 243  | 0.5558          | {'0': {'precision': 0.9436274509803921, 'recall': 0.9673366834170855, 'f1-score': 0.9553349875930521, 'support': 1592.0}, '1': {'precision': 0.7636363636363637, 'recall': 0.6461538461538462, 'f1-score': 0.7, 'support': 260.0}, 'accuracy': 0.9222462203023758, 'macro avg': {'precision': 0.8536319073083779, 'recall': 0.8067452647854658, 'f1-score': 0.827667493796526, 'support': 1852.0}, 'weighted avg': {'precision': 0.9183587238154637, 'recall': 0.9222462203023758, 'f1-score': 0.9194888230281528, 'support': 1852.0}}                  |
-| No log        | 28.0  | 252  | 0.3644          | {'0': {'precision': 0.9720708446866485, 'recall': 0.8963567839195979, 'f1-score': 0.9326797385620915, 'support': 1592.0}, '1': {'precision': 0.5703125, 'recall': 0.8423076923076923, 'f1-score': 0.6801242236024845, 'support': 260.0}, 'accuracy': 0.8887688984881209, 'macro avg': {'precision': 0.7711916723433243, 'recall': 0.8693322381136451, 'f1-score': 0.806401981082288, 'support': 1852.0}, 'weighted avg': {'precision': 0.9156684852813954, 'recall': 0.8887688984881209, 'f1-score': 0.8972237807383886, 'support': 1852.0}}            |
-| No log        | 29.0  | 261  | 0.5193          | {'0': {'precision': 0.9546884833228445, 'recall': 0.9528894472361809, 'f1-score': 0.9537881169443572, 'support': 1592.0}, '1': {'precision': 0.714828897338403, 'recall': 0.7230769230769231, 'f1-score': 0.7189292543021033, 'support': 260.0}, 'accuracy': 0.9206263498920086, 'macro avg': {'precision': 0.8347586903306238, 'recall': 0.837983185156552, 'f1-score': 0.8363586856232302, 'support': 1852.0}, 'weighted avg': {'precision': 0.9210148913379876, 'recall': 0.9206263498920086, 'f1-score': 0.920816570353112, 'support': 1852.0}}     |
-| No log        | 30.0  | 270  | 0.4313          | {'0': {'precision': 0.9656084656084656, 'recall': 0.9170854271356784, 'f1-score': 0.9407216494845361, 'support': 1592.0}, '1': {'precision': 0.611764705882353, 'recall': 0.8, 'f1-score': 0.6933333333333334, 'support': 260.0}, 'accuracy': 0.9006479481641468, 'macro avg': {'precision': 0.7886865857454093, 'recall': 0.8585427135678392, 'f1-score': 0.8170274914089347, 'support': 1852.0}, 'weighted avg': {'precision': 0.9159327757981042, 'recall': 0.9006479481641468, 'f1-score': 0.9059911083401987, 'support': 1852.0}}                  |
-| No log        | 31.0  | 279  | 0.5175          | {'0': {'precision': 0.9576923076923077, 'recall': 0.9384422110552764, 'f1-score': 0.9479695431472082, 'support': 1592.0}, '1': {'precision': 0.6643835616438356, 'recall': 0.7461538461538462, 'f1-score': 0.7028985507246377, 'support': 260.0}, 'accuracy': 0.9114470842332614, 'macro avg': {'precision': 0.8110379346680716, 'recall': 0.8422980286045613, 'f1-score': 0.8254340469359229, 'support': 1852.0}, 'weighted avg': {'precision': 0.9165150539274034, 'recall': 0.9114470842332614, 'f1-score': 0.9135643282282727, 'support': 1852.0}}  |
-| No log        | 32.0  | 288  | 0.5112          | {'0': {'precision': 0.9575835475578406, 'recall': 0.9359296482412061, 'f1-score': 0.9466327827191868, 'support': 1592.0}, '1': {'precision': 0.6554054054054054, 'recall': 0.7461538461538462, 'f1-score': 0.697841726618705, 'support': 260.0}, 'accuracy': 0.9092872570194385, 'macro avg': {'precision': 0.806494476481623, 'recall': 0.8410417471975261, 'f1-score': 0.8222372546689459, 'support': 1852.0}, 'weighted avg': {'precision': 0.9151611301930278, 'recall': 0.9092872570194385, 'f1-score': 0.9117053126402856, 'support': 1852.0}}    |
-| No log        | 33.0  | 297  | 0.7361          | {'0': {'precision': 0.9418604651162791, 'recall': 0.9667085427135679, 'f1-score': 0.9541227526348419, 'support': 1592.0}, '1': {'precision': 0.7568807339449541, 'recall': 0.6346153846153846, 'f1-score': 0.6903765690376569, 'support': 260.0}, 'accuracy': 0.9200863930885529, 'macro avg': {'precision': 0.8493705995306167, 'recall': 0.8006619636644763, 'f1-score': 0.8222496608362494, 'support': 1852.0}, 'weighted avg': {'precision': 0.9158913883859635, 'recall': 0.9200863930885529, 'f1-score': 0.9170957506179584, 'support': 1852.0}}  |
-| No log        | 34.0  | 306  | 0.5370          | {'0': {'precision': 0.9603638726445743, 'recall': 0.928391959798995, 'f1-score': 0.9441073139572022, 'support': 1592.0}, '1': {'precision': 0.6357827476038339, 'recall': 0.7653846153846153, 'f1-score': 0.6945898778359512, 'support': 260.0}, 'accuracy': 0.9055075593952484, 'macro avg': {'precision': 0.7980733101242041, 'recall': 0.8468882875918051, 'f1-score': 0.8193485958965767, 'support': 1852.0}, 'weighted avg': {'precision': 0.9147963280924186, 'recall': 0.9055075593952484, 'f1-score': 0.9090778682814326, 'support': 1852.0}}   |
-| No log        | 35.0  | 315  | 0.6283          | {'0': {'precision': 0.9570164348925411, 'recall': 0.9510050251256281, 'f1-score': 0.9540012602394455, 'support': 1592.0}, '1': {'precision': 0.7111111111111111, 'recall': 0.7384615384615385, 'f1-score': 0.7245283018867924, 'support': 260.0}, 'accuracy': 0.9211663066954644, 'macro avg': {'precision': 0.8340637730018261, 'recall': 0.8447332817935833, 'f1-score': 0.839264781063119, 'support': 1852.0}, 'weighted avg': {'precision': 0.922494089221282, 'recall': 0.9211663066954644, 'f1-score': 0.9217858341208225, 'support': 1852.0}}    |
-| No log        | 36.0  | 324  | 0.8542          | {'0': {'precision': 0.940925700365408, 'recall': 0.9704773869346733, 'f1-score': 0.9554730983302412, 'support': 1592.0}, '1': {'precision': 0.7761904761904762, 'recall': 0.6269230769230769, 'f1-score': 0.6936170212765957, 'support': 260.0}, 'accuracy': 0.9222462203023758, 'macro avg': {'precision': 0.8585580882779421, 'recall': 0.7987002319288752, 'f1-score': 0.8245450598034185, 'support': 1852.0}, 'weighted avg': {'precision': 0.9177987250492728, 'recall': 0.9222462203023758, 'f1-score': 0.9187114460440923, 'support': 1852.0}}   |
-| No log        | 37.0  | 333  | 0.5817          | {'0': {'precision': 0.961139896373057, 'recall': 0.9321608040201005, 'f1-score': 0.9464285714285714, 'support': 1592.0}, '1': {'precision': 0.6493506493506493, 'recall': 0.7692307692307693, 'f1-score': 0.704225352112676, 'support': 260.0}, 'accuracy': 0.9092872570194385, 'macro avg': {'precision': 0.8052452728618531, 'recall': 0.8506957866254349, 'f1-score': 0.8253269617706237, 'support': 1852.0}, 'weighted avg': {'precision': 0.9173681878277945, 'recall': 0.9092872570194385, 'f1-score': 0.9124259596455623, 'support': 1852.0}}    |
-| No log        | 38.0  | 342  | 0.7546          | {'0': {'precision': 0.9490683229813665, 'recall': 0.9597989949748744, 'f1-score': 0.9544034978138664, 'support': 1592.0}, '1': {'precision': 0.7355371900826446, 'recall': 0.6846153846153846, 'f1-score': 0.7091633466135459, 'support': 260.0}, 'accuracy': 0.9211663066954644, 'macro avg': {'precision': 0.8423027565320056, 'recall': 0.8222071897951295, 'f1-score': 0.8317834222137062, 'support': 1852.0}, 'weighted avg': {'precision': 0.9190909501122155, 'recall': 0.9211663066954644, 'f1-score': 0.9199745349023744, 'support': 1852.0}}  |
-| No log        | 39.0  | 351  | 0.7266          | {'0': {'precision': 0.9545741324921135, 'recall': 0.9503768844221105, 'f1-score': 0.952470884482216, 'support': 1592.0}, '1': {'precision': 0.704119850187266, 'recall': 0.7230769230769231, 'f1-score': 0.713472485768501, 'support': 260.0}, 'accuracy': 0.9184665226781857, 'macro avg': {'precision': 0.8293469913396898, 'recall': 0.8367269037495169, 'f1-score': 0.8329716851253585, 'support': 1852.0}, 'weighted avg': {'precision': 0.9194131641339816, 'recall': 0.9184665226781857, 'f1-score': 0.9189181935180875, 'support': 1852.0}}     |
-| No log        | 40.0  | 360  | 0.8533          | {'0': {'precision': 0.9451632778804683, 'recall': 0.9635678391959799, 'f1-score': 0.9542768273716952, 'support': 1592.0}, '1': {'precision': 0.7467248908296943, 'recall': 0.6576923076923077, 'f1-score': 0.6993865030674846, 'support': 260.0}, 'accuracy': 0.9206263498920086, 'macro avg': {'precision': 0.8459440843550813, 'recall': 0.8106300734441438, 'f1-score': 0.82683166521959, 'support': 1852.0}, 'weighted avg': {'precision': 0.9173047570202085, 'recall': 0.9206263498920086, 'f1-score': 0.9184930885384907, 'support': 1852.0}}    |
-| No log        | 41.0  | 369  | 0.7207          | {'0': {'precision': 0.9553571428571429, 'recall': 0.9409547738693468, 'f1-score': 0.9481012658227848, 'support': 1592.0}, '1': {'precision': 0.6690140845070423, 'recall': 0.7307692307692307, 'f1-score': 0.6985294117647058, 'support': 260.0}, 'accuracy': 0.9114470842332614, 'macro avg': {'precision': 0.8121856136820926, 'recall': 0.8358620023192888, 'f1-score': 0.8233153387937453, 'support': 1852.0}, 'weighted avg': {'precision': 0.9151577934127444, 'recall': 0.9114470842332614, 'f1-score': 0.9130641804798578, 'support': 1852.0}}  |
-| No log        | 42.0  | 378  | 0.8507          | {'0': {'precision': 0.9478260869565217, 'recall': 0.9585427135678392, 'f1-score': 0.9531542785758901, 'support': 1592.0}, '1': {'precision': 0.7272727272727273, 'recall': 0.676923076923077, 'f1-score': 0.701195219123506, 'support': 260.0}, 'accuracy': 0.9190064794816415, 'macro avg': {'precision': 0.8375494071146246, 'recall': 0.8177328952454581, 'f1-score': 0.8271747488496981, 'support': 1852.0}, 'weighted avg': {'precision': 0.9168628723140884, 'recall': 0.9190064794816415, 'f1-score': 0.917782056406549, 'support': 1852.0}}     |
-| No log        | 43.0  | 387  | 0.8223          | {'0': {'precision': 0.9534591194968554, 'recall': 0.9522613065326633, 'f1-score': 0.9528598365807668, 'support': 1592.0}, '1': {'precision': 0.7099236641221374, 'recall': 0.7153846153846154, 'f1-score': 0.7126436781609196, 'support': 260.0}, 'accuracy': 0.9190064794816415, 'macro avg': {'precision': 0.8316913918094964, 'recall': 0.8338229609586394, 'f1-score': 0.8327517573708432, 'support': 1852.0}, 'weighted avg': {'precision': 0.919269476733666, 'recall': 0.9190064794816415, 'f1-score': 0.9191361858306802, 'support': 1852.0}}   |
-| No log        | 44.0  | 396  | 0.8322          | {'0': {'precision': 0.9528301886792453, 'recall': 0.9516331658291457, 'f1-score': 0.9522313010685104, 'support': 1592.0}, '1': {'precision': 0.7061068702290076, 'recall': 0.7115384615384616, 'f1-score': 0.7088122605363985, 'support': 260.0}, 'accuracy': 0.91792656587473, 'macro avg': {'precision': 0.8294685294541264, 'recall': 0.8315858136838037, 'f1-score': 0.8305217808024544, 'support': 1852.0}, 'weighted avg': {'precision': 0.9181930057434667, 'recall': 0.91792656587473, 'f1-score': 0.9180580016417561, 'support': 1852.0}}      |
-| No log        | 45.0  | 405  | 0.8810          | {'0': {'precision': 0.9495327102803738, 'recall': 0.957286432160804, 'f1-score': 0.9533938066937754, 'support': 1592.0}, '1': {'precision': 0.7246963562753036, 'recall': 0.6884615384615385, 'f1-score': 0.7061143984220908, 'support': 260.0}, 'accuracy': 0.9195464362850972, 'macro avg': {'precision': 0.8371145332778387, 'recall': 0.8228739853111713, 'f1-score': 0.8297541025579331, 'support': 1852.0}, 'weighted avg': {'precision': 0.9179682113379773, 'recall': 0.9195464362850972, 'f1-score': 0.918678554992567, 'support': 1852.0}}    |
-| No log        | 46.0  | 414  | 0.9026          | {'0': {'precision': 0.9483509645301804, 'recall': 0.957286432160804, 'f1-score': 0.9527977492966552, 'support': 1592.0}, '1': {'precision': 0.7224489795918367, 'recall': 0.6807692307692308, 'f1-score': 0.700990099009901, 'support': 260.0}, 'accuracy': 0.9184665226781857, 'macro avg': {'precision': 0.8353999720610086, 'recall': 0.8190278314650175, 'f1-score': 0.826893924153278, 'support': 1852.0}, 'weighted avg': {'precision': 0.9166368629729617, 'recall': 0.9184665226781857, 'f1-score': 0.9174467832736768, 'support': 1852.0}}     |
-| No log        | 47.0  | 423  | 0.9279          | {'0': {'precision': 0.9461633663366337, 'recall': 0.960427135678392, 'f1-score': 0.9532418952618454, 'support': 1592.0}, '1': {'precision': 0.7330508474576272, 'recall': 0.6653846153846154, 'f1-score': 0.6975806451612904, 'support': 260.0}, 'accuracy': 0.9190064794816415, 'macro avg': {'precision': 0.8396071068971305, 'recall': 0.8129058755315037, 'f1-score': 0.8254112702115679, 'support': 1852.0}, 'weighted avg': {'precision': 0.9162447621743541, 'recall': 0.9190064794816415, 'f1-score': 0.91734992710518, 'support': 1852.0}}     |
-| No log        | 48.0  | 432  | 0.8759          | {'0': {'precision': 0.9522613065326633, 'recall': 0.9522613065326633, 'f1-score': 0.9522613065326633, 'support': 1592.0}, '1': {'precision': 0.7076923076923077, 'recall': 0.7076923076923077, 'f1-score': 0.7076923076923077, 'support': 260.0}, 'accuracy': 0.91792656587473, 'macro avg': {'precision': 0.8299768071124856, 'recall': 0.8299768071124856, 'f1-score': 0.8299768071124856, 'support': 1852.0}, 'weighted avg': {'precision': 0.91792656587473, 'recall': 0.91792656587473, 'f1-score': 0.91792656587473, 'support': 1852.0}}          |
-| No log        | 49.0  | 441  | 0.9424          | {'0': {'precision': 0.9461633663366337, 'recall': 0.960427135678392, 'f1-score': 0.9532418952618454, 'support': 1592.0}, '1': {'precision': 0.7330508474576272, 'recall': 0.6653846153846154, 'f1-score': 0.6975806451612904, 'support': 260.0}, 'accuracy': 0.9190064794816415, 'macro avg': {'precision': 0.8396071068971305, 'recall': 0.8129058755315037, 'f1-score': 0.8254112702115679, 'support': 1852.0}, 'weighted avg': {'precision': 0.9162447621743541, 'recall': 0.9190064794816415, 'f1-score': 0.91734992710518, 'support': 1852.0}}     |
-| No log        | 50.0  | 450  | 0.9073          | {'0': {'precision': 0.9506866416978776, 'recall': 0.9566582914572864, 'f1-score': 0.9536631183469004, 'support': 1592.0}, '1': {'precision': 0.724, 'recall': 0.6961538461538461, 'f1-score': 0.7098039215686275, 'support': 260.0}, 'accuracy': 0.9200863930885529, 'macro avg': {'precision': 0.8373433208489388, 'recall': 0.8264060688055663, 'f1-score': 0.831733519957764, 'support': 1852.0}, 'weighted avg': {'precision': 0.91886238314418, 'recall': 0.9200863930885529, 'f1-score': 0.9194280259266244, 'support': 1852.0}}                  |
+| 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}}                 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:25dfe11e7b474b22a8fced822f7b59dbb5bdca62d0cf930c6084671e41904d9a
+oid sha256:4fdaab7c134130e066b29c203ea057ba75bdf3dde2dd540adff10a21917648e5
 size 1583351632