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: 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}}
+- Loss: 1.0671
+- Classification Report: {'0': {'precision': 0.9478584729981379, 'recall': 0.9591708542713567, 'f1-score': 0.9534811114580081, 'support': 1592.0}, '1': {'precision': 0.7302904564315352, 'recall': 0.676923076923077, 'f1-score': 0.7025948103792415, 'support': 260.0}, 'accuracy': 0.9195464362850972, 'macro avg': {'precision': 0.8390744647148365, 'recall': 0.8180469655972169, 'f1-score': 0.8280379609186248, 'support': 1852.0}, 'weighted avg': {'precision': 0.9173143670006667, 'recall': 0.9195464362850972, 'f1-score': 0.9182594925160646, '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    | 0.4889          | {'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}}     |
+| Training Loss | Epoch | Step | Validation Loss | Classification Report                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    |
+|:-------------:|:-----:|:----:|:---------------:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
+| No log        | 1.0   | 9    | 0.4658          | {'0': {'precision': 0.9748237663645518, 'recall': 0.6080402010050251, 'f1-score': 0.7489361702127659, 'support': 1592.0}, '1': {'precision': 0.27357392316647267, 'recall': 0.9038461538461539, 'f1-score': 0.42001787310098304, 'support': 260.0}, 'accuracy': 0.6495680345572354, 'macro avg': {'precision': 0.6241988447655122, 'recall': 0.7559431774255895, 'f1-score': 0.5844770216568744, 'support': 1852.0}, 'weighted avg': {'precision': 0.8763761641877157, 'recall': 0.6495680345572354, 'f1-score': 0.7027597354130556, 'support': 1852.0}} |
+| No log        | 2.0   | 18   | 0.4287          | {'0': {'precision': 0.9786324786324786, 'recall': 0.7192211055276382, 'f1-score': 0.8291093410572049, 'support': 1592.0}, '1': {'precision': 0.34457478005865105, 'recall': 0.9038461538461539, 'f1-score': 0.4989384288747346, 'support': 260.0}, 'accuracy': 0.7451403887688985, 'macro avg': {'precision': 0.6616036293455648, 'recall': 0.811533629686896, 'f1-score': 0.6640238849659698, 'support': 1852.0}, 'weighted avg': {'precision': 0.8896178989190903, 'recall': 0.7451403887688985, 'f1-score': 0.782757053169817, 'support': 1852.0}}    |
+| No log        | 3.0   | 27   | 0.3809          | {'0': {'precision': 0.9813311688311688, 'recall': 0.7594221105527639, 'f1-score': 0.8562322946175638, 'support': 1592.0}, '1': {'precision': 0.38225806451612904, 'recall': 0.9115384615384615, 'f1-score': 0.5386363636363637, 'support': 260.0}, 'accuracy': 0.7807775377969762, 'macro avg': {'precision': 0.6817946166736489, 'recall': 0.8354802860456128, 'f1-score': 0.6974343291269638, 'support': 1852.0}, 'weighted avg': {'precision': 0.8972280332361848, 'recall': 0.7807775377969762, 'f1-score': 0.8116453928599439, 'support': 1852.0}}  |
+| No log        | 4.0   | 36   | 0.3512          | {'0': {'precision': 0.9744168547780286, 'recall': 0.8134422110552764, 'f1-score': 0.8866826429305033, 'support': 1592.0}, '1': {'precision': 0.4321223709369025, 'recall': 0.8692307692307693, 'f1-score': 0.5772669220945083, 'support': 260.0}, 'accuracy': 0.8212742980561555, 'macro avg': {'precision': 0.7032696128574656, 'recall': 0.8413364901430228, 'f1-score': 0.7319747825125058, 'support': 1852.0}, 'weighted avg': {'precision': 0.8982847998111317, 'recall': 0.8212742980561555, 'f1-score': 0.8432441508044997, 'support': 1852.0}}   |
+| No log        | 5.0   | 45   | 0.3344          | {'0': {'precision': 0.9857482185273159, 'recall': 0.782035175879397, 'f1-score': 0.87215411558669, 'support': 1592.0}, '1': {'precision': 0.41086587436332767, 'recall': 0.9307692307692308, 'f1-score': 0.5700824499411072, 'support': 260.0}, 'accuracy': 0.8029157667386609, 'macro avg': {'precision': 0.6983070464453218, 'recall': 0.8564022033243139, 'f1-score': 0.7211182827638987, 'support': 1852.0}, 'weighted avg': {'precision': 0.9050411939686567, 'recall': 0.8029157667386609, 'f1-score': 0.8297466463275909, 'support': 1852.0}}     |
+| No log        | 6.0   | 54   | 0.3259          | {'0': {'precision': 0.9739069111424542, 'recall': 0.867462311557789, 'f1-score': 0.9176079734219269, 'support': 1592.0}, '1': {'precision': 0.5138248847926268, 'recall': 0.8576923076923076, 'f1-score': 0.6426512968299711, 'support': 260.0}, 'accuracy': 0.8660907127429806, 'macro avg': {'precision': 0.7438658979675405, 'recall': 0.8625773096250483, 'f1-score': 0.780129635125949, 'support': 1852.0}, 'weighted avg': {'precision': 0.9093165618708802, 'recall': 0.8660907127429806, 'f1-score': 0.8790071440947624, 'support': 1852.0}}     |
+| No log        | 7.0   | 63   | 0.3234          | {'0': {'precision': 0.9715672676837726, 'recall': 0.8800251256281407, 'f1-score': 0.9235332893869479, 'support': 1592.0}, '1': {'precision': 0.5341463414634147, 'recall': 0.8423076923076923, 'f1-score': 0.6537313432835821, 'support': 260.0}, 'accuracy': 0.8747300215982722, 'macro avg': {'precision': 0.7528568045735936, 'recall': 0.8611664089679165, 'f1-score': 0.788632316335265, 'support': 1852.0}, 'weighted avg': {'precision': 0.91015828236126, 'recall': 0.8747300215982722, 'f1-score': 0.8856561263270801, 'support': 1852.0}}      |
+| No log        | 8.0   | 72   | 0.3283          | {'0': {'precision': 0.9882445141065831, 'recall': 0.7920854271356784, 'f1-score': 0.8793584379358438, 'support': 1592.0}, '1': {'precision': 0.4253472222222222, 'recall': 0.9423076923076923, 'f1-score': 0.5861244019138756, 'support': 260.0}, 'accuracy': 0.8131749460043196, 'macro avg': {'precision': 0.7067958681644027, 'recall': 0.8671965597216853, 'f1-score': 0.7327414199248596, 'support': 1852.0}, 'weighted avg': {'precision': 0.9092200562826448, 'recall': 0.8131749460043196, 'f1-score': 0.8381916726195847, 'support': 1852.0}}   |
+| No log        | 9.0   | 81   | 0.4118          | {'0': {'precision': 0.9485570890840652, 'recall': 0.949748743718593, 'f1-score': 0.9491525423728814, 'support': 1592.0}, '1': {'precision': 0.689922480620155, 'recall': 0.6846153846153846, 'f1-score': 0.6872586872586872, 'support': 260.0}, 'accuracy': 0.9125269978401728, 'macro avg': {'precision': 0.8192397848521101, 'recall': 0.8171820641669888, 'f1-score': 0.8182056148157844, 'support': 1852.0}, 'weighted avg': {'precision': 0.9122476948072744, 'recall': 0.9125269978401728, 'f1-score': 0.9123855864713207, 'support': 1852.0}}     |
+| No log        | 10.0  | 90   | 0.3219          | {'0': {'precision': 0.9709141274238227, 'recall': 0.8806532663316583, 'f1-score': 0.9235836627140975, 'support': 1592.0}, '1': {'precision': 0.5343137254901961, 'recall': 0.8384615384615385, 'f1-score': 0.6526946107784432, 'support': 260.0}, 'accuracy': 0.8747300215982722, 'macro avg': {'precision': 0.7526139264570093, 'recall': 0.8595574023965984, 'f1-score': 0.7881391367462703, 'support': 1852.0}, 'weighted avg': {'precision': 0.9096203344957757, 'recall': 0.8747300215982722, 'f1-score': 0.8855538822047724, 'support': 1852.0}}   |
+| No log        | 11.0  | 99   | 0.3105          | {'0': {'precision': 0.9749826268241835, 'recall': 0.8812814070351759, 'f1-score': 0.9257670735730782, 'support': 1592.0}, '1': {'precision': 0.5423728813559322, 'recall': 0.8615384615384616, 'f1-score': 0.6656760772659732, 'support': 260.0}, 'accuracy': 0.8785097192224622, 'macro avg': {'precision': 0.7586777540900578, 'recall': 0.8714099342868187, 'f1-score': 0.7957215754195257, 'support': 1852.0}, 'weighted avg': {'precision': 0.9142490772444073, 'recall': 0.8785097192224622, 'f1-score': 0.8892532187999425, 'support': 1852.0}}   |
+| No log        | 12.0  | 108  | 0.3133          | {'0': {'precision': 0.9754901960784313, 'recall': 0.875, 'f1-score': 0.9225165562913907, 'support': 1592.0}, '1': {'precision': 0.5306603773584906, 'recall': 0.8653846153846154, 'f1-score': 0.6578947368421053, 'support': 260.0}, 'accuracy': 0.8736501079913607, 'macro avg': {'precision': 0.7530752867184609, 'recall': 0.8701923076923077, 'f1-score': 0.790205646566748, 'support': 1852.0}, 'weighted avg': {'precision': 0.9130410854590013, 'recall': 0.8736501079913607, 'f1-score': 0.8853666248352274, 'support': 1852.0}}                 |
+| No log        | 13.0  | 117  | 0.3423          | {'0': {'precision': 0.9603896103896103, 'recall': 0.9290201005025126, 'f1-score': 0.9444444444444444, 'support': 1592.0}, '1': {'precision': 0.6378205128205128, 'recall': 0.7653846153846153, 'f1-score': 0.6958041958041958, 'support': 260.0}, 'accuracy': 0.906047516198704, 'macro avg': {'precision': 0.7991050616050616, 'recall': 0.8472023579435639, 'f1-score': 0.8201243201243201, 'support': 1852.0}, 'weighted avg': {'precision': 0.9151045318971884, 'recall': 0.906047516198704, 'f1-score': 0.9095381460392259, 'support': 1852.0}}     |
+| No log        | 14.0  | 126  | 0.5012          | {'0': {'precision': 0.9386650631389056, 'recall': 0.9805276381909548, 'f1-score': 0.9591397849462365, 'support': 1592.0}, '1': {'precision': 0.8359788359788359, 'recall': 0.6076923076923076, 'f1-score': 0.7037861915367484, 'support': 260.0}, 'accuracy': 0.9281857451403888, 'macro avg': {'precision': 0.8873219495588708, 'recall': 0.7941099729416312, 'f1-score': 0.8314629882414925, 'support': 1852.0}, 'weighted avg': {'precision': 0.924249070125073, 'recall': 0.9281857451403888, 'f1-score': 0.9232910083336735, 'support': 1852.0}}    |
+| No log        | 15.0  | 135  | 0.3743          | {'0': {'precision': 0.9571611253196931, 'recall': 0.9403266331658291, 'f1-score': 0.9486692015209125, 'support': 1592.0}, '1': {'precision': 0.6701388888888888, 'recall': 0.7423076923076923, 'f1-score': 0.7043795620437956, 'support': 260.0}, 'accuracy': 0.9125269978401728, 'macro avg': {'precision': 0.8136500071042909, 'recall': 0.8413171627367607, 'f1-score': 0.826524381782354, 'support': 1852.0}, 'weighted avg': {'precision': 0.9168664269006817, 'recall': 0.9125269978401728, 'f1-score': 0.9143736797800646, 'support': 1852.0}}    |
+| No log        | 16.0  | 144  | 0.3255          | {'0': {'precision': 0.9732510288065843, 'recall': 0.8913316582914573, 'f1-score': 0.9304918032786885, 'support': 1592.0}, '1': {'precision': 0.5609137055837563, 'recall': 0.85, 'f1-score': 0.6758409785932722, 'support': 260.0}, 'accuracy': 0.8855291576673866, 'macro avg': {'precision': 0.7670823671951703, 'recall': 0.8706658291457287, 'f1-score': 0.8031663909359803, 'support': 1852.0}, 'weighted avg': {'precision': 0.9153634996284336, 'recall': 0.8855291576673866, 'f1-score': 0.8947416875021181, 'support': 1852.0}}                 |
+| No log        | 17.0  | 153  | 0.3262          | {'0': {'precision': 0.9744499645138396, 'recall': 0.8624371859296482, 'f1-score': 0.915028323892036, 'support': 1592.0}, '1': {'precision': 0.5056433408577878, 'recall': 0.8615384615384616, 'f1-score': 0.6372688477951636, 'support': 260.0}, 'accuracy': 0.8623110151187905, 'macro avg': {'precision': 0.7400466526858137, 'recall': 0.8619878237340549, 'f1-score': 0.7761485858435998, 'support': 1852.0}, 'weighted avg': {'precision': 0.9086347797673097, 'recall': 0.8623110151187905, 'f1-score': 0.8760340129929071, 'support': 1852.0}}    |
+| No log        | 18.0  | 162  | 0.4057          | {'0': {'precision': 0.9568576947842885, 'recall': 0.9334170854271356, 'f1-score': 0.9449920508744039, 'support': 1592.0}, '1': {'precision': 0.6454849498327759, 'recall': 0.7423076923076923, 'f1-score': 0.6905187835420393, 'support': 260.0}, 'accuracy': 0.9065874730021598, 'macro avg': {'precision': 0.8011713223085322, 'recall': 0.8378623888674139, 'f1-score': 0.8177554172082215, 'support': 1852.0}, 'weighted avg': {'precision': 0.9131444584520026, 'recall': 0.9065874730021598, 'f1-score': 0.9092668621560372, 'support': 1852.0}}   |
+| No log        | 19.0  | 171  | 0.3325          | {'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        | 20.0  | 180  | 0.3462          | {'0': {'precision': 0.983957219251337, 'recall': 0.8090452261306532, 'f1-score': 0.8879696656325405, 'support': 1592.0}, '1': {'precision': 0.44014732965009207, 'recall': 0.9192307692307692, 'f1-score': 0.5952677459526775, 'support': 260.0}, 'accuracy': 0.8245140388768899, 'macro avg': {'precision': 0.7120522744507145, 'recall': 0.8641379976807112, 'f1-score': 0.741618705792609, 'support': 1852.0}, 'weighted avg': {'precision': 0.9076124183353954, 'recall': 0.8245140388768899, 'f1-score': 0.8468776034744605, 'support': 1852.0}}    |
+| No log        | 21.0  | 189  | 0.3389          | {'0': {'precision': 0.9761904761904762, 'recall': 0.8756281407035176, 'f1-score': 0.9231788079470199, 'support': 1592.0}, '1': {'precision': 0.5330188679245284, 'recall': 0.8692307692307693, 'f1-score': 0.6608187134502924, 'support': 260.0}, 'accuracy': 0.8747300215982722, 'macro avg': {'precision': 0.7546046720575023, 'recall': 0.8724294549671434, 'f1-score': 0.7919987606986562, 'support': 1852.0}, 'weighted avg': {'precision': 0.9139741596952567, 'recall': 0.8747300215982722, 'f1-score': 0.8863463972725334, 'support': 1852.0}}   |
+| No log        | 22.0  | 198  | 0.5140          | {'0': {'precision': 0.9451294697903823, 'recall': 0.9629396984924623, 'f1-score': 0.9539514623522091, 'support': 1592.0}, '1': {'precision': 0.7434782608695653, 'recall': 0.6576923076923077, 'f1-score': 0.6979591836734694, 'support': 260.0}, 'accuracy': 0.9200863930885529, 'macro avg': {'precision': 0.8443038653299737, 'recall': 0.810316003092385, 'f1-score': 0.8259553230128392, 'support': 1852.0}, 'weighted avg': {'precision': 0.9168199048230969, 'recall': 0.9200863930885529, 'f1-score': 0.918013021500982, 'support': 1852.0}}     |
+| No log        | 23.0  | 207  | 0.4316          | {'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        | 24.0  | 216  | 0.4008          | {'0': {'precision': 0.9622395833333334, 'recall': 0.928391959798995, 'f1-score': 0.9450127877237852, 'support': 1592.0}, '1': {'precision': 0.6392405063291139, 'recall': 0.7769230769230769, 'f1-score': 0.7013888888888888, 'support': 260.0}, 'accuracy': 0.9071274298056156, 'macro avg': {'precision': 0.8007400448312236, 'recall': 0.852657518361036, 'f1-score': 0.823200838306337, 'support': 1852.0}, 'weighted avg': {'precision': 0.9168941405573631, 'recall': 0.9071274298056156, 'f1-score': 0.9108107284921042, 'support': 1852.0}}      |
+| No log        | 25.0  | 225  | 0.5363          | {'0': {'precision': 0.9544592030360531, 'recall': 0.9478643216080402, 'f1-score': 0.9511503309171131, 'support': 1592.0}, '1': {'precision': 0.6937269372693727, 'recall': 0.7230769230769231, 'f1-score': 0.7080979284369114, 'support': 260.0}, 'accuracy': 0.9163066954643628, 'macro avg': {'precision': 0.8240930701527129, 'recall': 0.8354706223424817, 'f1-score': 0.8296241296770123, 'support': 1852.0}, 'weighted avg': {'precision': 0.9178553212329554, 'recall': 0.9163066954643628, 'f1-score': 0.9170285033550978, 'support': 1852.0}}   |
+| No log        | 26.0  | 234  | 0.4987          | {'0': {'precision': 0.9601029601029601, 'recall': 0.9371859296482412, 'f1-score': 0.9485060394151303, 'support': 1592.0}, '1': {'precision': 0.6644295302013423, 'recall': 0.7615384615384615, 'f1-score': 0.7096774193548387, 'support': 260.0}, 'accuracy': 0.9125269978401728, 'macro avg': {'precision': 0.8122662451521512, 'recall': 0.8493621955933514, 'f1-score': 0.8290917293849845, 'support': 1852.0}, 'weighted avg': {'precision': 0.9185937312830786, 'recall': 0.9125269978401728, 'f1-score': 0.9149771834671412, 'support': 1852.0}}   |
+| No log        | 27.0  | 243  | 0.5779          | {'0': {'precision': 0.9502831969792322, 'recall': 0.9484924623115578, 'f1-score': 0.949386985224772, 'support': 1592.0}, '1': {'precision': 0.688212927756654, 'recall': 0.6961538461538461, 'f1-score': 0.6921606118546845, 'support': 260.0}, 'accuracy': 0.9130669546436285, 'macro avg': {'precision': 0.8192480623679431, 'recall': 0.822323154232702, 'f1-score': 0.8207737985397283, 'support': 1852.0}, 'weighted avg': {'precision': 0.9134914745181792, 'recall': 0.9130669546436285, 'f1-score': 0.9132752913391226, 'support': 1852.0}}      |
+| No log        | 28.0  | 252  | 0.7377          | {'0': {'precision': 0.9432799013563502, 'recall': 0.9610552763819096, 'f1-score': 0.9520846297448662, 'support': 1592.0}, '1': {'precision': 0.7304347826086957, 'recall': 0.6461538461538462, 'f1-score': 0.6857142857142857, 'support': 260.0}, 'accuracy': 0.9168466522678186, 'macro avg': {'precision': 0.8368573419825229, 'recall': 0.8036045612678779, 'f1-score': 0.818899457729576, 'support': 1852.0}, 'weighted avg': {'precision': 0.9133988371693144, 'recall': 0.9168466522678186, 'f1-score': 0.9146892250753462, 'support': 1852.0}}    |
+| No log        | 29.0  | 261  | 0.5538          | {'0': {'precision': 0.9559386973180076, 'recall': 0.9403266331658291, 'f1-score': 0.948068397720076, 'support': 1592.0}, '1': {'precision': 0.6678321678321678, 'recall': 0.7346153846153847, 'f1-score': 0.6996336996336996, 'support': 260.0}, 'accuracy': 0.9114470842332614, 'macro avg': {'precision': 0.8118854325750877, 'recall': 0.8374710088906069, 'f1-score': 0.8238510486768877, 'support': 1852.0}, 'weighted avg': {'precision': 0.9154917763318746, 'recall': 0.9114470842332614, 'f1-score': 0.9131909563040621, 'support': 1852.0}}    |
+| No log        | 30.0  | 270  | 0.7011          | {'0': {'precision': 0.9472377405338299, 'recall': 0.9585427135678392, 'f1-score': 0.9528566968467063, 'support': 1592.0}, '1': {'precision': 0.7261410788381742, 'recall': 0.6730769230769231, 'f1-score': 0.6986027944111777, 'support': 260.0}, 'accuracy': 0.9184665226781857, 'macro avg': {'precision': 0.836689409686002, 'recall': 0.8158098183223812, 'f1-score': 0.825729745628942, 'support': 1852.0}, 'weighted avg': {'precision': 0.9161982523908113, 'recall': 0.9184665226781857, 'f1-score': 0.917162304496146, 'support': 1852.0}}      |
+| No log        | 31.0  | 279  | 0.5648          | {'0': {'precision': 0.9532351057014734, 'recall': 0.9346733668341709, 'f1-score': 0.9438629876308278, 'support': 1592.0}, '1': {'precision': 0.6426116838487973, 'recall': 0.7192307692307692, 'f1-score': 0.6787658802177858, 'support': 260.0}, 'accuracy': 0.9044276457883369, 'macro avg': {'precision': 0.7979233947751354, 'recall': 0.82695206803247, 'f1-score': 0.8113144339243068, 'support': 1852.0}, 'weighted avg': {'precision': 0.9096270659165405, 'recall': 0.9044276457883369, 'f1-score': 0.9066463310825605, 'support': 1852.0}}     |
+| No log        | 32.0  | 288  | 0.7122          | {'0': {'precision': 0.9472049689440993, 'recall': 0.9579145728643216, 'f1-score': 0.9525296689569019, 'support': 1592.0}, '1': {'precision': 0.7231404958677686, 'recall': 0.6730769230769231, 'f1-score': 0.6972111553784861, 'support': 260.0}, 'accuracy': 0.91792656587473, 'macro avg': {'precision': 0.8351727324059339, 'recall': 0.8154957479706224, 'f1-score': 0.824870412167694, 'support': 1852.0}, 'weighted avg': {'precision': 0.9157488334150249, 'recall': 0.91792656587473, 'f1-score': 0.9166858171586362, 'support': 1852.0}}        |
+| No log        | 33.0  | 297  | 0.6401          | {'0': {'precision': 0.9548919949174078, 'recall': 0.9440954773869347, 'f1-score': 0.9494630448515476, 'support': 1592.0}, '1': {'precision': 0.6798561151079137, 'recall': 0.7269230769230769, 'f1-score': 0.7026022304832714, 'support': 260.0}, 'accuracy': 0.9136069114470843, 'macro avg': {'precision': 0.8173740550126607, 'recall': 0.8355092771550058, 'f1-score': 0.8260326376674095, 'support': 1852.0}, 'weighted avg': {'precision': 0.9162800463480404, 'recall': 0.9136069114470843, 'f1-score': 0.9148065590331071, 'support': 1852.0}}   |
+| No log        | 34.0  | 306  | 0.6557          | {'0': {'precision': 0.9558823529411765, 'recall': 0.9390703517587939, 'f1-score': 0.9474017743979721, 'support': 1592.0}, '1': {'precision': 0.6631944444444444, 'recall': 0.7346153846153847, 'f1-score': 0.6970802919708029, 'support': 260.0}, 'accuracy': 0.9103671706263499, 'macro avg': {'precision': 0.8095383986928104, 'recall': 0.8368428681870893, 'f1-score': 0.8222410331843875, 'support': 1852.0}, 'weighted avg': {'precision': 0.9147922577958468, 'recall': 0.9103671706263499, 'f1-score': 0.9122594496511772, 'support': 1852.0}}   |
+| No log        | 35.0  | 315  | 0.7642          | {'0': {'precision': 0.947401377582968, 'recall': 0.9503768844221105, 'f1-score': 0.9488867983693948, 'support': 1592.0}, '1': {'precision': 0.6901960784313725, 'recall': 0.676923076923077, 'f1-score': 0.683495145631068, 'support': 260.0}, 'accuracy': 0.911987041036717, 'macro avg': {'precision': 0.8187987280071702, 'recall': 0.8136499806725938, 'f1-score': 0.8161909720002314, 'support': 1852.0}, 'weighted avg': {'precision': 0.9112926422809082, 'recall': 0.911987041036717, 'f1-score': 0.911628790965526, 'support': 1852.0}}         |
+| No log        | 36.0  | 324  | 0.9518          | {'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        | 37.0  | 333  | 0.8619          | {'0': {'precision': 0.9507174048658765, 'recall': 0.957286432160804, 'f1-score': 0.9539906103286385, 'support': 1592.0}, '1': {'precision': 0.7269076305220884, 'recall': 0.6961538461538461, 'f1-score': 0.7111984282907662, 'support': 260.0}, 'accuracy': 0.9206263498920086, 'macro avg': {'precision': 0.8388125176939825, 'recall': 0.8267201391573251, 'f1-score': 0.8325945193097024, 'support': 1852.0}, 'weighted avg': {'precision': 0.9192970261783037, 'recall': 0.9206263498920086, 'f1-score': 0.919905314794164, 'support': 1852.0}}     |
+| No log        | 38.0  | 342  | 1.0214          | {'0': {'precision': 0.9417892156862745, 'recall': 0.9654522613065326, 'f1-score': 0.9534739454094293, 'support': 1592.0}, '1': {'precision': 0.75, 'recall': 0.6346153846153846, 'f1-score': 0.6875, 'support': 260.0}, 'accuracy': 0.9190064794816415, 'macro avg': {'precision': 0.8458946078431373, 'recall': 0.8000338229609586, 'f1-score': 0.8204869727047146, 'support': 1852.0}, 'weighted avg': {'precision': 0.9148641638080718, 'recall': 0.9190064794816415, 'f1-score': 0.9161341906543259, 'support': 1852.0}}                             |
+| No log        | 39.0  | 351  | 0.9624          | {'0': {'precision': 0.9462631253860407, 'recall': 0.9623115577889447, 'f1-score': 0.9542198691996263, 'support': 1592.0}, '1': {'precision': 0.7424892703862661, 'recall': 0.6653846153846154, 'f1-score': 0.7018255578093306, 'support': 260.0}, 'accuracy': 0.9206263498920086, 'macro avg': {'precision': 0.8443761978861535, 'recall': 0.8138480865867801, 'f1-score': 0.8280227135044784, 'support': 1852.0}, 'weighted avg': {'precision': 0.9176555647489234, 'recall': 0.9206263498920086, 'f1-score': 0.9187865425465611, 'support': 1852.0}}   |
+| No log        | 40.0  | 360  | 0.9834          | {'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        | 41.0  | 369  | 0.9953          | {'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        | 42.0  | 378  | 0.9888          | {'0': {'precision': 0.9500624219725343, 'recall': 0.9560301507537688, 'f1-score': 0.9530369442705072, 'support': 1592.0}, '1': {'precision': 0.72, 'recall': 0.6923076923076923, 'f1-score': 0.7058823529411765, 'support': 260.0}, 'accuracy': 0.9190064794816415, 'macro avg': {'precision': 0.8350312109862672, 'recall': 0.8241689215307306, 'f1-score': 0.8294596486058419, 'support': 1852.0}, 'weighted avg': {'precision': 0.9177642417820058, 'recall': 0.9190064794816415, 'f1-score': 0.9183392154661736, 'support': 1852.0}}                 |
+| No log        | 43.0  | 387  | 0.9745          | {'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        | 44.0  | 396  | 0.9803          | {'0': {'precision': 0.950625, 'recall': 0.9554020100502513, 'f1-score': 0.9530075187969925, 'support': 1592.0}, '1': {'precision': 0.7182539682539683, 'recall': 0.6961538461538461, 'f1-score': 0.70703125, 'support': 260.0}, 'accuracy': 0.9190064794816415, 'macro avg': {'precision': 0.8344394841269842, 'recall': 0.8257779281020488, 'f1-score': 0.8300193843984962, 'support': 1852.0}, 'weighted avg': {'precision': 0.9180027169255032, 'recall': 0.9190064794816415, 'f1-score': 0.918475213242339, 'support': 1852.0}}                      |
+| No log        | 45.0  | 405  | 0.9750          | {'0': {'precision': 0.9523809523809523, 'recall': 0.9547738693467337, 'f1-score': 0.9535759096612296, 'support': 1592.0}, '1': {'precision': 0.71875, 'recall': 0.7076923076923077, 'f1-score': 0.7131782945736435, 'support': 260.0}, 'accuracy': 0.9200863930885529, 'macro avg': {'precision': 0.8355654761904762, 'recall': 0.8312330885195207, 'f1-score': 0.8333771021174365, 'support': 1852.0}, 'weighted avg': {'precision': 0.9195817905996092, 'recall': 0.9200863930885529, 'f1-score': 0.9198267844329507, 'support': 1852.0}}              |
+| No log        | 46.0  | 414  | 1.0068          | {'0': {'precision': 0.949438202247191, 'recall': 0.9554020100502513, 'f1-score': 0.9524107701941139, 'support': 1592.0}, '1': {'precision': 0.716, 'recall': 0.6884615384615385, 'f1-score': 0.7019607843137254, 'support': 260.0}, 'accuracy': 0.91792656587473, 'macro avg': {'precision': 0.8327191011235955, 'recall': 0.8219317742558949, 'f1-score': 0.8271857772539197, 'support': 1852.0}, 'weighted avg': {'precision': 0.9166661004198317, 'recall': 0.91792656587473, 'f1-score': 0.9172504050057224, 'support': 1852.0}}                     |
+| No log        | 47.0  | 423  | 1.0762          | {'0': {'precision': 0.9473031618102914, 'recall': 0.9597989949748744, 'f1-score': 0.9535101404056162, 'support': 1592.0}, '1': {'precision': 0.7322175732217573, 'recall': 0.6730769230769231, 'f1-score': 0.7014028056112225, 'support': 260.0}, 'accuracy': 0.9195464362850972, 'macro avg': {'precision': 0.8397603675160243, 'recall': 0.8164379590258988, 'f1-score': 0.8274564730084193, 'support': 1852.0}, 'weighted avg': {'precision': 0.9171075608205405, 'recall': 0.9195464362850972, 'f1-score': 0.9181171020435523, 'support': 1852.0}}   |
+| No log        | 48.0  | 432  | 1.0468          | {'0': {'precision': 0.947172156619018, 'recall': 0.957286432160804, 'f1-score': 0.9522024367385192, 'support': 1592.0}, '1': {'precision': 0.720164609053498, 'recall': 0.6730769230769231, 'f1-score': 0.6958250497017893, 'support': 260.0}, 'accuracy': 0.9173866090712743, 'macro avg': {'precision': 0.833668382836258, 'recall': 0.8151816776188636, 'f1-score': 0.8240137432201542, 'support': 1852.0}, 'weighted avg': {'precision': 0.9153028464856297, 'recall': 0.9173866090712743, 'f1-score': 0.9162099309990215, 'support': 1852.0}}       |
+| No log        | 49.0  | 441  | 1.0710          | {'0': {'precision': 0.9473031618102914, 'recall': 0.9597989949748744, 'f1-score': 0.9535101404056162, 'support': 1592.0}, '1': {'precision': 0.7322175732217573, 'recall': 0.6730769230769231, 'f1-score': 0.7014028056112225, 'support': 260.0}, 'accuracy': 0.9195464362850972, 'macro avg': {'precision': 0.8397603675160243, 'recall': 0.8164379590258988, 'f1-score': 0.8274564730084193, 'support': 1852.0}, 'weighted avg': {'precision': 0.9171075608205405, 'recall': 0.9195464362850972, 'f1-score': 0.9181171020435523, 'support': 1852.0}}   |
+| No log        | 50.0  | 450  | 1.0671          | {'0': {'precision': 0.9478584729981379, 'recall': 0.9591708542713567, 'f1-score': 0.9534811114580081, 'support': 1592.0}, '1': {'precision': 0.7302904564315352, 'recall': 0.676923076923077, 'f1-score': 0.7025948103792415, 'support': 260.0}, 'accuracy': 0.9195464362850972, 'macro avg': {'precision': 0.8390744647148365, 'recall': 0.8180469655972169, 'f1-score': 0.8280379609186248, 'support': 1852.0}, 'weighted avg': {'precision': 0.9173143670006667, 'recall': 0.9195464362850972, 'f1-score': 0.9182594925160646, 'support': 1852.0}}    |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bf37e43e7c8810c4eec4ed0e853e3d5a82fedf50615579a52805b354d34b49d9
+oid sha256:7858e42bc03099b179fc00ebde1e20afdf51237907b9f67107728c506ece029d
 size 1583351632