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harun27
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binary_paragraph

Text Classification
Transformers
Safetensors
modernbert
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xet
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End of training

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  1. README.md +53 -53
  2. model.safetensors +1 -1
README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.2539
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- - Classification Report: {'0': {'precision': 0.9437148217636022, 'recall': 0.9478643216080402, 'f1-score': 0.9457850203697901, 'support': 1592.0}, '1': {'precision': 0.6719367588932806, 'recall': 0.6538461538461539, 'f1-score': 0.6627680311890838, 'support': 260.0}, 'accuracy': 0.9065874730021598, 'macro avg': {'precision': 0.8078257903284414, 'recall': 0.800855237727097, 'f1-score': 0.8042765257794369, 'support': 1852.0}, 'weighted avg': {'precision': 0.9055602341036219, 'recall': 0.9065874730021598, 'f1-score': 0.9060526136813539, 'support': 1852.0}}
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  ## Model description
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@@ -36,7 +36,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-06
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  - train_batch_size: 256
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  - eval_batch_size: 256
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  - seed: 42
@@ -52,56 +52,56 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Classification Report |
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  |:-------------:|:-----:|:----:|:---------------:|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
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- | No log | 1.0 | 7 | 0.4743 | {'0': {'precision': 0.9669642857142857, 'recall': 0.6802763819095478, 'f1-score': 0.7986725663716814, 'support': 1592.0}, '1': {'precision': 0.3046448087431694, 'recall': 0.8576923076923076, 'f1-score': 0.4495967741935484, 'support': 260.0}, 'accuracy': 0.7051835853131749, 'macro avg': {'precision': 0.6358045472287276, 'recall': 0.7689843448009277, 'f1-score': 0.6241346702826149, 'support': 1852.0}, 'weighted avg': {'precision': 0.8739820697248202, 'recall': 0.7051835853131749, 'f1-score': 0.7496662456555289, 'support': 1852.0}} |
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- | No log | 2.0 | 14 | 0.4814 | {'0': {'precision': 0.9380917698470502, 'recall': 0.8090452261306532, 'f1-score': 0.8688026981450253, 'support': 1592.0}, '1': {'precision': 0.3653444676409186, 'recall': 0.6730769230769231, 'f1-score': 0.4736129905277402, 'support': 260.0}, 'accuracy': 0.7899568034557235, 'macro avg': {'precision': 0.6517181187439844, 'recall': 0.7410610746037882, 'f1-score': 0.6712078443363827, 'support': 1852.0}, 'weighted avg': {'precision': 0.8576844812004012, 'recall': 0.7899568034557235, 'f1-score': 0.8133225016112812, 'support': 1852.0}} |
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- | No log | 3.0 | 21 | 0.4409 | {'0': {'precision': 0.984375, 'recall': 0.6331658291457286, 'f1-score': 0.7706422018348624, 'support': 1592.0}, '1': {'precision': 0.2946859903381642, 'recall': 0.9384615384615385, 'f1-score': 0.4485294117647059, 'support': 260.0}, 'accuracy': 0.6760259179265659, 'macro avg': {'precision': 0.6395304951690821, 'recall': 0.7858136838036336, 'f1-score': 0.6095858067997841, 'support': 1852.0}, 'weighted avg': {'precision': 0.8875504090107573, 'recall': 0.6760259179265659, 'f1-score': 0.7254211837904561, 'support': 1852.0}} |
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- | No log | 4.0 | 28 | 0.4163 | {'0': {'precision': 0.9805137289636847, 'recall': 0.6953517587939698, 'f1-score': 0.8136714443219405, 'support': 1592.0}, '1': {'precision': 0.32918395573997233, 'recall': 0.9153846153846154, 'f1-score': 0.4842319430315361, 'support': 260.0}, 'accuracy': 0.7262419006479481, 'macro avg': {'precision': 0.6548488423518285, 'recall': 0.8053681870892926, 'f1-score': 0.6489516936767383, 'support': 1852.0}, 'weighted avg': {'precision': 0.8890743439538763, 'recall': 0.7262419006479481, 'f1-score': 0.7674218383092487, 'support': 1852.0}} |
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- | No log | 5.0 | 35 | 0.3996 | {'0': {'precision': 0.9728434504792333, 'recall': 0.7650753768844221, 'f1-score': 0.8565400843881856, 'support': 1592.0}, '1': {'precision': 0.37666666666666665, 'recall': 0.8692307692307693, 'f1-score': 0.5255813953488372, 'support': 260.0}, 'accuracy': 0.7796976241900648, 'macro avg': {'precision': 0.6747550585729499, 'recall': 0.8171530730575957, 'f1-score': 0.6910607398685114, 'support': 1852.0}, 'weighted avg': {'precision': 0.8891469257539271, 'recall': 0.7796976241900648, 'f1-score': 0.8100772014776939, 'support': 1852.0}} |
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- | No log | 6.0 | 42 | 0.3730 | {'0': {'precision': 0.984873949579832, 'recall': 0.7361809045226131, 'f1-score': 0.8425593098490295, 'support': 1592.0}, '1': {'precision': 0.36555891238670696, 'recall': 0.9307692307692308, 'f1-score': 0.5249457700650759, 'support': 260.0}, 'accuracy': 0.7634989200863931, 'macro avg': {'precision': 0.6752164309832694, 'recall': 0.8334750676459219, 'f1-score': 0.6837525399570528, 'support': 1852.0}, 'weighted avg': {'precision': 0.8979290739479678, 'recall': 0.7634989200863931, 'f1-score': 0.7979699360132693, 'support': 1852.0}} |
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- | No log | 7.0 | 49 | 0.3489 | {'0': {'precision': 0.9704797047970479, 'recall': 0.8260050251256281, 'f1-score': 0.8924329826942654, 'support': 1592.0}, '1': {'precision': 0.4426559356136821, 'recall': 0.8461538461538461, 'f1-score': 0.5812417437252312, 'support': 260.0}, 'accuracy': 0.8288336933045356, 'macro avg': {'precision': 0.706567820205365, 'recall': 0.8360794356397372, 'f1-score': 0.7368373632097482, 'support': 1852.0}, 'weighted avg': {'precision': 0.8963791756460354, 'recall': 0.8288336933045356, 'f1-score': 0.8487452277634074, 'support': 1852.0}} |
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- | No log | 8.0 | 56 | 0.3306 | {'0': {'precision': 0.9788359788359788, 'recall': 0.8134422110552764, 'f1-score': 0.888507718696398, 'support': 1592.0}, '1': {'precision': 0.43856332703213613, 'recall': 0.8923076923076924, 'f1-score': 0.5880861850443599, 'support': 260.0}, 'accuracy': 0.8245140388768899, 'macro avg': {'precision': 0.7086996529340575, 'recall': 0.8528749516814844, 'f1-score': 0.738296951870379, 'support': 1852.0}, 'weighted avg': {'precision': 0.9029877663797159, 'recall': 0.8245140388768899, 'f1-score': 0.8463319094363927, 'support': 1852.0}} |
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- | No log | 9.0 | 63 | 0.3282 | {'0': {'precision': 0.9739319333816076, 'recall': 0.8448492462311558, 'f1-score': 0.9048099562731248, 'support': 1592.0}, '1': {'precision': 0.47558386411889597, 'recall': 0.8615384615384616, 'f1-score': 0.612859097127223, 'support': 260.0}, 'accuracy': 0.8471922246220303, 'macro avg': {'precision': 0.7247578987502518, 'recall': 0.8531938538848087, 'f1-score': 0.7588345267001739, 'support': 1852.0}, 'weighted avg': {'precision': 0.903969461454877, 'recall': 0.8471922246220303, 'f1-score': 0.8638233345787757, 'support': 1852.0}} |
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- | No log | 10.0 | 70 | 0.3514 | {'0': {'precision': 0.9638718473074301, 'recall': 0.8881909547738693, 'f1-score': 0.9244851258581236, 'support': 1592.0}, '1': {'precision': 0.5376623376623376, 'recall': 0.7961538461538461, 'f1-score': 0.641860465116279, 'support': 260.0}, 'accuracy': 0.8752699784017278, 'macro avg': {'precision': 0.7507670924848839, 'recall': 0.8421724004638578, 'f1-score': 0.7831727954872013, 'support': 1852.0}, 'weighted avg': {'precision': 0.9040368189555272, 'recall': 0.8752699784017278, 'f1-score': 0.8848077976762232, 'support': 1852.0}} |
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- | No log | 11.0 | 77 | 0.3479 | {'0': {'precision': 0.970853573907009, 'recall': 0.8787688442211056, 'f1-score': 0.9225189581272667, 'support': 1592.0}, '1': {'precision': 0.5304136253041363, 'recall': 0.8384615384615385, 'f1-score': 0.6497764530551415, 'support': 260.0}, 'accuracy': 0.8731101511879049, 'macro avg': {'precision': 0.7506335996055726, 'recall': 0.858615191341322, 'f1-score': 0.7861477055912041, 'support': 1852.0}, 'weighted avg': {'precision': 0.9090207517489383, 'recall': 0.8731101511879049, 'f1-score': 0.8842289736139013, 'support': 1852.0}} |
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- | No log | 12.0 | 84 | 0.3811 | {'0': {'precision': 0.9602122015915119, 'recall': 0.9095477386934674, 'f1-score': 0.9341935483870968, 'support': 1592.0}, '1': {'precision': 0.5813953488372093, 'recall': 0.7692307692307693, 'f1-score': 0.6622516556291391, 'support': 260.0}, 'accuracy': 0.8898488120950324, 'macro avg': {'precision': 0.7708037752143606, 'recall': 0.8393892539621184, 'f1-score': 0.798222602008118, 'support': 1852.0}, 'weighted avg': {'precision': 0.9070305699953355, 'recall': 0.8898488120950324, 'f1-score': 0.8960159608508824, 'support': 1852.0}} |
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- | No log | 13.0 | 91 | 0.5717 | {'0': {'precision': 0.9400244798041616, 'recall': 0.964824120603015, 'f1-score': 0.9522628642281463, 'support': 1592.0}, '1': {'precision': 0.7431192660550459, 'recall': 0.6230769230769231, 'f1-score': 0.6778242677824268, 'support': 260.0}, 'accuracy': 0.9168466522678186, 'macro avg': {'precision': 0.8415718729296038, 'recall': 0.7939505218399691, 'f1-score': 0.8150435660052866, 'support': 1852.0}, 'weighted avg': {'precision': 0.9123811992562296, 'recall': 0.9168466522678186, 'f1-score': 0.9137347675349029, 'support': 1852.0}} |
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- | No log | 14.0 | 98 | 0.3372 | {'0': {'precision': 0.9837209302325581, 'recall': 0.7971105527638191, 'f1-score': 0.8806384455239417, 'support': 1592.0}, '1': {'precision': 0.42526690391459077, 'recall': 0.9192307692307692, 'f1-score': 0.5815085158150851, 'support': 260.0}, 'accuracy': 0.8142548596112311, 'macro avg': {'precision': 0.7044939170735744, 'recall': 0.8581706609972941, 'f1-score': 0.7310734806695134, 'support': 1852.0}, 'weighted avg': {'precision': 0.9053202569913749, 'recall': 0.8142548596112311, 'f1-score': 0.8386439629514241, 'support': 1852.0}} |
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- | No log | 15.0 | 105 | 0.3290 | {'0': {'precision': 0.9718111346018323, 'recall': 0.8662060301507538, 'f1-score': 0.9159747592162072, 'support': 1592.0}, '1': {'precision': 0.5080831408775982, 'recall': 0.8461538461538461, 'f1-score': 0.6349206349206349, 'support': 260.0}, 'accuracy': 0.8633909287257019, 'macro avg': {'precision': 0.7399471377397153, 'recall': 0.8561799381523, 'f1-score': 0.775447697068421, 'support': 1852.0}, 'weighted avg': {'precision': 0.9067089324591212, 'recall': 0.8633909287257019, 'f1-score': 0.8765179167125091, 'support': 1852.0}} |
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- | No log | 16.0 | 112 | 0.3588 | {'0': {'precision': 0.9868312757201646, 'recall': 0.753140703517588, 'f1-score': 0.8542928393302458, 'support': 1592.0}, '1': {'precision': 0.38304552590266877, 'recall': 0.9384615384615385, 'f1-score': 0.5440356744704571, 'support': 260.0}, 'accuracy': 0.7791576673866091, 'macro avg': {'precision': 0.6849384008114167, 'recall': 0.8458011209895633, 'f1-score': 0.6991642569003514, 'support': 1852.0}, 'weighted avg': {'precision': 0.9020665376248359, 'recall': 0.7791576673866091, 'f1-score': 0.8107362179136447, 'support': 1852.0}} |
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- | No log | 17.0 | 119 | 0.3582 | {'0': {'precision': 0.9855421686746988, 'recall': 0.7707286432160804, 'f1-score': 0.864998237574903, 'support': 1592.0}, '1': {'precision': 0.3986820428336079, 'recall': 0.9307692307692308, 'f1-score': 0.558246828143022, 'support': 260.0}, 'accuracy': 0.7931965442764579, 'macro avg': {'precision': 0.6921121057541534, 'recall': 0.8507489369926555, 'f1-score': 0.7116225328589625, 'support': 1852.0}, 'weighted avg': {'precision': 0.9031535980922563, 'recall': 0.7931965442764579, 'f1-score': 0.8219337848468852, 'support': 1852.0}} |
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- | No log | 18.0 | 126 | 0.3201 | {'0': {'precision': 0.9827586206896551, 'recall': 0.8234924623115578, 'f1-score': 0.8961038961038961, 'support': 1592.0}, '1': {'precision': 0.4575289575289575, 'recall': 0.9115384615384615, 'f1-score': 0.609254498714653, 'support': 260.0}, 'accuracy': 0.8358531317494601, 'macro avg': {'precision': 0.7201437891093063, 'recall': 0.8675154619250096, 'f1-score': 0.7526791974092746, 'support': 1852.0}, 'weighted avg': {'precision': 0.9090222748895571, 'recall': 0.8358531317494601, 'f1-score': 0.8558334623451471, 'support': 1852.0}} |
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- | No log | 19.0 | 133 | 0.4531 | {'0': {'precision': 0.9483301827347196, 'recall': 0.9453517587939698, 'f1-score': 0.9468386284995282, 'support': 1592.0}, '1': {'precision': 0.6716981132075471, 'recall': 0.6846153846153846, 'f1-score': 0.6780952380952381, 'support': 260.0}, 'accuracy': 0.9087473002159827, 'macro avg': {'precision': 0.8100141479711334, 'recall': 0.8149835717046772, 'f1-score': 0.8124669332973831, 'support': 1852.0}, 'weighted avg': {'precision': 0.9094941470559589, 'recall': 0.9087473002159827, 'f1-score': 0.909110074771064, 'support': 1852.0}} |
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- | No log | 20.0 | 140 | 0.5024 | {'0': {'precision': 0.9444787168414559, 'recall': 0.9616834170854272, 'f1-score': 0.9530034235916589, 'support': 1592.0}, '1': {'precision': 0.7359307359307359, 'recall': 0.6538461538461539, 'f1-score': 0.6924643584521385, 'support': 260.0}, 'accuracy': 0.9184665226781857, 'macro avg': {'precision': 0.8402047263860959, 'recall': 0.8077647854657906, 'f1-score': 0.8227338910218986, 'support': 1852.0}, 'weighted avg': {'precision': 0.9152009225451345, 'recall': 0.9184665226781857, 'f1-score': 0.9164266649867586, 'support': 1852.0}} |
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- | No log | 21.0 | 147 | 0.5835 | {'0': {'precision': 0.9383770591824283, 'recall': 0.9660804020100503, 'f1-score': 0.9520272361497988, 'support': 1592.0}, '1': {'precision': 0.7464788732394366, 'recall': 0.6115384615384616, 'f1-score': 0.6723044397463002, 'support': 260.0}, 'accuracy': 0.9163066954643628, 'macro avg': {'precision': 0.8424279662109324, 'recall': 0.788809431774256, 'f1-score': 0.8121658379480494, 'support': 1852.0}, 'weighted avg': {'precision': 0.9114367091040385, 'recall': 0.9163066954643628, 'f1-score': 0.9127572971298692, 'support': 1852.0}} |
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- | No log | 22.0 | 154 | 0.4221 | {'0': {'precision': 0.9565780946208684, 'recall': 0.9271356783919598, 'f1-score': 0.9416267942583733, 'support': 1592.0}, '1': {'precision': 0.6245954692556634, 'recall': 0.7423076923076923, 'f1-score': 0.6783831282952548, 'support': 260.0}, 'accuracy': 0.9011879049676026, 'macro avg': {'precision': 0.7905867819382659, 'recall': 0.834721685349826, 'f1-score': 0.8100049612768141, 'support': 1852.0}, 'weighted avg': {'precision': 0.9099714625501593, 'recall': 0.9011879049676026, 'f1-score': 0.9046703400734861, 'support': 1852.0}} |
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- | No log | 23.0 | 161 | 0.4644 | {'0': {'precision': 0.9564102564102565, 'recall': 0.9371859296482412, 'f1-score': 0.9467005076142132, 'support': 1592.0}, '1': {'precision': 0.6575342465753424, 'recall': 0.7384615384615385, 'f1-score': 0.6956521739130435, 'support': 260.0}, 'accuracy': 0.9092872570194385, 'macro avg': {'precision': 0.8069722514927995, 'recall': 0.8378237340548899, 'f1-score': 0.8211763407636283, 'support': 1852.0}, 'weighted avg': {'precision': 0.9144514213362404, 'recall': 0.9092872570194385, 'f1-score': 0.9114561411118891, 'support': 1852.0}} |
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- | No log | 24.0 | 168 | 0.4462 | {'0': {'precision': 0.9587965990843689, 'recall': 0.9208542713567839, 'f1-score': 0.9394424863825697, 'support': 1592.0}, '1': {'precision': 0.6099071207430341, 'recall': 0.7576923076923077, 'f1-score': 0.6758147512864494, 'support': 260.0}, 'accuracy': 0.8979481641468683, 'macro avg': {'precision': 0.7843518599137015, 'recall': 0.8392732895245458, 'f1-score': 0.8076286188345095, 'support': 1852.0}, 'weighted avg': {'precision': 0.9098164347383932, 'recall': 0.8979481641468683, 'f1-score': 0.9024321132049286, 'support': 1852.0}} |
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- | No log | 25.0 | 175 | 0.5146 | {'0': {'precision': 0.9583604424202993, 'recall': 0.925251256281407, 'f1-score': 0.9415148609779482, 'support': 1592.0}, '1': {'precision': 0.6222222222222222, 'recall': 0.7538461538461538, 'f1-score': 0.6817391304347826, 'support': 260.0}, 'accuracy': 0.9011879049676026, 'macro avg': {'precision': 0.7902913323212608, 'recall': 0.8395487050637804, 'f1-score': 0.8116269957063654, 'support': 1852.0}, 'weighted avg': {'precision': 0.9111704115069624, 'recall': 0.9011879049676026, 'f1-score': 0.9050452659772877, 'support': 1852.0}} |
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- | No log | 26.0 | 182 | 0.5104 | {'0': {'precision': 0.9596827495042961, 'recall': 0.9120603015075377, 'f1-score': 0.9352657004830918, 'support': 1592.0}, '1': {'precision': 0.5870206489675516, 'recall': 0.7653846153846153, 'f1-score': 0.664440734557596, 'support': 260.0}, 'accuracy': 0.8914686825053996, 'macro avg': {'precision': 0.7733516992359238, 'recall': 0.8387224584460765, 'f1-score': 0.7998532175203439, 'support': 1852.0}, 'weighted avg': {'precision': 0.9073651759948179, 'recall': 0.8914686825053996, 'f1-score': 0.8972449169298364, 'support': 1852.0}} |
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- | No log | 27.0 | 189 | 0.6784 | {'0': {'precision': 0.9484924623115578, 'recall': 0.9484924623115578, 'f1-score': 0.9484924623115578, 'support': 1592.0}, '1': {'precision': 0.6846153846153846, 'recall': 0.6846153846153846, 'f1-score': 0.6846153846153846, 'support': 260.0}, 'accuracy': 0.9114470842332614, 'macro avg': {'precision': 0.8165539234634712, 'recall': 0.8165539234634712, 'f1-score': 0.8165539234634712, 'support': 1852.0}, 'weighted avg': {'precision': 0.9114470842332614, 'recall': 0.9114470842332614, 'f1-score': 0.9114470842332614, 'support': 1852.0}} |
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- | No log | 28.0 | 196 | 0.5543 | {'0': {'precision': 0.9586070959264126, 'recall': 0.9164572864321608, 'f1-score': 0.9370584457289659, 'support': 1592.0}, '1': {'precision': 0.5969696969696969, 'recall': 0.7576923076923077, 'f1-score': 0.6677966101694915, 'support': 260.0}, 'accuracy': 0.8941684665226782, 'macro avg': {'precision': 0.7777883964480548, 'recall': 0.8370747970622343, 'f1-score': 0.8024275279492288, 'support': 1852.0}, 'weighted avg': {'precision': 0.9078372666992278, 'recall': 0.8941684665226782, 'f1-score': 0.8992571081234242, 'support': 1852.0}} |
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- | No log | 29.0 | 203 | 0.6011 | {'0': {'precision': 0.9577922077922078, 'recall': 0.9265075376884422, 'f1-score': 0.941890166028097, 'support': 1592.0}, '1': {'precision': 0.625, 'recall': 0.75, 'f1-score': 0.6818181818181818, 'support': 260.0}, 'accuracy': 0.9017278617710583, 'macro avg': {'precision': 0.7913961038961039, 'recall': 0.8382537688442211, 'f1-score': 0.8118541739231394, 'support': 1852.0}, 'weighted avg': {'precision': 0.9110719194412499, 'recall': 0.9017278617710583, 'f1-score': 0.90537898033988, 'support': 1852.0}} |
84
- | No log | 30.0 | 210 | 0.9177 | {'0': {'precision': 0.9303303303303303, 'recall': 0.9729899497487438, 'f1-score': 0.9511820693890083, 'support': 1592.0}, '1': {'precision': 0.7700534759358288, 'recall': 0.5538461538461539, 'f1-score': 0.6442953020134228, 'support': 260.0}, 'accuracy': 0.9141468682505399, 'macro avg': {'precision': 0.8501919031330796, 'recall': 0.7634180517974488, 'f1-score': 0.7977386857012155, 'support': 1852.0}, 'weighted avg': {'precision': 0.907829260058964, 'recall': 0.9141468682505399, 'f1-score': 0.9080986139259131, 'support': 1852.0}} |
85
- | No log | 31.0 | 217 | 0.7935 | {'0': {'precision': 0.9435483870967742, 'recall': 0.9554020100502513, 'f1-score': 0.949438202247191, 'support': 1592.0}, '1': {'precision': 0.7041666666666667, 'recall': 0.65, 'f1-score': 0.676, 'support': 260.0}, 'accuracy': 0.9125269978401728, 'macro avg': {'precision': 0.8238575268817205, 'recall': 0.8027010050251256, 'f1-score': 0.8127191011235955, 'support': 1852.0}, 'weighted avg': {'precision': 0.9099418820687893, 'recall': 0.9125269978401728, 'f1-score': 0.9110505496638921, 'support': 1852.0}} |
86
- | No log | 32.0 | 224 | 0.7311 | {'0': {'precision': 0.9525336754329699, 'recall': 0.9327889447236181, 'f1-score': 0.9425579181212314, 'support': 1592.0}, '1': {'precision': 0.6348122866894198, 'recall': 0.7153846153846154, 'f1-score': 0.6726943942133815, 'support': 260.0}, 'accuracy': 0.902267818574514, 'macro avg': {'precision': 0.7936729810611949, 'recall': 0.8240867800541167, 'f1-score': 0.8076261561673064, 'support': 1852.0}, 'weighted avg': {'precision': 0.9079291608145448, 'recall': 0.902267818574514, 'f1-score': 0.9046721102292006, 'support': 1852.0}} |
87
- | No log | 33.0 | 231 | 0.8073 | {'0': {'precision': 0.95, 'recall': 0.9428391959798995, 'f1-score': 0.9464060529634301, 'support': 1592.0}, '1': {'precision': 0.6654411764705882, 'recall': 0.6961538461538461, 'f1-score': 0.6804511278195489, 'support': 260.0}, 'accuracy': 0.908207343412527, 'macro avg': {'precision': 0.807720588235294, 'recall': 0.8194965210668728, 'f1-score': 0.8134285903914895, 'support': 1852.0}, 'weighted avg': {'precision': 0.9100511370855037, 'recall': 0.908207343412527, 'f1-score': 0.909068968439991, 'support': 1852.0}} |
88
- | No log | 34.0 | 238 | 0.9300 | {'0': {'precision': 0.9418316831683168, 'recall': 0.9560301507537688, 'f1-score': 0.9488778054862843, 'support': 1592.0}, '1': {'precision': 0.7033898305084746, 'recall': 0.6384615384615384, 'f1-score': 0.6693548387096774, 'support': 260.0}, 'accuracy': 0.9114470842332614, 'macro avg': {'precision': 0.8226107568383957, 'recall': 0.7972458446076536, 'f1-score': 0.8091163220979809, 'support': 1852.0}, 'weighted avg': {'precision': 0.9083571250195269, 'recall': 0.9114470842332614, 'f1-score': 0.9096359203016634, 'support': 1852.0}} |
89
- | No log | 35.0 | 245 | 1.2332 | {'0': {'precision': 0.9309723889555822, 'recall': 0.9742462311557789, 'f1-score': 0.9521178637200737, 'support': 1592.0}, '1': {'precision': 0.7795698924731183, 'recall': 0.5576923076923077, 'f1-score': 0.6502242152466368, 'support': 260.0}, 'accuracy': 0.9157667386609071, 'macro avg': {'precision': 0.8552711407143503, 'recall': 0.7659692694240433, 'f1-score': 0.8011710394833552, 'support': 1852.0}, 'weighted avg': {'precision': 0.9097171788662515, 'recall': 0.9157667386609071, 'f1-score': 0.909735386072615, 'support': 1852.0}} |
90
- | No log | 36.0 | 252 | 1.1424 | {'0': {'precision': 0.9333333333333333, 'recall': 0.9673366834170855, 'f1-score': 0.9500308451573103, 'support': 1592.0}, '1': {'precision': 0.7425742574257426, 'recall': 0.5769230769230769, 'f1-score': 0.6493506493506493, 'support': 260.0}, 'accuracy': 0.9125269978401728, 'macro avg': {'precision': 0.837953795379538, 'recall': 0.7721298801700811, 'f1-score': 0.7996907472539798, 'support': 1852.0}, 'weighted avg': {'precision': 0.9065529015104535, 'recall': 0.9125269978401728, 'f1-score': 0.9078187226358567, 'support': 1852.0}} |
91
- | No log | 37.0 | 259 | 0.6708 | {'0': {'precision': 0.9605614973262032, 'recall': 0.9026381909547738, 'f1-score': 0.930699481865285, 'support': 1592.0}, '1': {'precision': 0.5646067415730337, 'recall': 0.7730769230769231, 'f1-score': 0.6525974025974026, 'support': 260.0}, 'accuracy': 0.8844492440604752, 'macro avg': {'precision': 0.7625841194496185, 'recall': 0.8378575570158484, 'f1-score': 0.7916484422313438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9049738966265143, 'recall': 0.8844492440604752, 'f1-score': 0.8916570733287572, 'support': 1852.0}} |
92
- | No log | 38.0 | 266 | 0.8283 | {'0': {'precision': 0.9558441558441558, 'recall': 0.9246231155778895, 'f1-score': 0.9399744572158365, 'support': 1592.0}, '1': {'precision': 0.6153846153846154, 'recall': 0.7384615384615385, 'f1-score': 0.6713286713286714, 'support': 260.0}, 'accuracy': 0.8984881209503239, 'macro avg': {'precision': 0.7856143856143856, 'recall': 0.831542327019714, 'f1-score': 0.8056515642722539, 'support': 1852.0}, 'weighted avg': {'precision': 0.9080474600992959, 'recall': 0.8984881209503239, 'f1-score': 0.9022596060653705, 'support': 1852.0}} |
93
- | No log | 39.0 | 273 | 0.9437 | {'0': {'precision': 0.9468354430379747, 'recall': 0.9396984924623115, 'f1-score': 0.9432534678436317, 'support': 1592.0}, '1': {'precision': 0.6470588235294118, 'recall': 0.676923076923077, 'f1-score': 0.6616541353383458, 'support': 260.0}, 'accuracy': 0.9028077753779697, 'macro avg': {'precision': 0.7969471332836933, 'recall': 0.8083107846926942, 'f1-score': 0.8024538015909888, 'support': 1852.0}, 'weighted avg': {'precision': 0.9047501724806172, 'recall': 0.9028077753779697, 'f1-score': 0.9037200842305786, 'support': 1852.0}} |
94
- | No log | 40.0 | 280 | 1.1990 | {'0': {'precision': 0.9343065693430657, 'recall': 0.964824120603015, 'f1-score': 0.9493201483312732, 'support': 1592.0}, '1': {'precision': 0.7307692307692307, 'recall': 0.5846153846153846, 'f1-score': 0.6495726495726496, 'support': 260.0}, 'accuracy': 0.9114470842332614, 'macro avg': {'precision': 0.8325379000561481, 'recall': 0.7747197526091998, 'f1-score': 0.7994463989519613, 'support': 1852.0}, 'weighted avg': {'precision': 0.9057322129558102, 'recall': 0.9114470842332614, 'f1-score': 0.907238966000149, 'support': 1852.0}} |
95
- | No log | 41.0 | 287 | 1.0497 | {'0': {'precision': 0.9434431323803605, 'recall': 0.9535175879396985, 'f1-score': 0.9484536082474226, 'support': 1592.0}, '1': {'precision': 0.6954732510288066, 'recall': 0.65, 'f1-score': 0.6719681908548708, 'support': 260.0}, 'accuracy': 0.9109071274298056, 'macro avg': {'precision': 0.8194581917045836, 'recall': 0.8017587939698493, 'f1-score': 0.8102108995511468, 'support': 1852.0}, 'weighted avg': {'precision': 0.9086309460135117, 'recall': 0.9109071274298056, 'f1-score': 0.9096381608812977, 'support': 1852.0}} |
96
- | No log | 42.0 | 294 | 0.9548 | {'0': {'precision': 0.9487017099430018, 'recall': 0.9409547738693468, 'f1-score': 0.9448123620309051, 'support': 1592.0}, '1': {'precision': 0.6556776556776557, 'recall': 0.6884615384615385, 'f1-score': 0.6716697936210131, 'support': 260.0}, 'accuracy': 0.9055075593952484, 'macro avg': {'precision': 0.8021896828103288, 'recall': 0.8147081561654426, 'f1-score': 0.8082410778259591, 'support': 1852.0}, 'weighted avg': {'precision': 0.9075644237070462, 'recall': 0.9055075593952484, 'f1-score': 0.9064662131180694, 'support': 1852.0}} |
97
- | No log | 43.0 | 301 | 1.0401 | {'0': {'precision': 0.946608040201005, 'recall': 0.946608040201005, 'f1-score': 0.946608040201005, 'support': 1592.0}, '1': {'precision': 0.6730769230769231, 'recall': 0.6730769230769231, 'f1-score': 0.6730769230769231, 'support': 260.0}, 'accuracy': 0.908207343412527, 'macro avg': {'precision': 0.809842481638964, 'recall': 0.809842481638964, 'f1-score': 0.809842481638964, 'support': 1852.0}, 'weighted avg': {'precision': 0.908207343412527, 'recall': 0.908207343412527, 'f1-score': 0.908207343412527, 'support': 1852.0}} |
98
- | No log | 44.0 | 308 | 1.0506 | {'0': {'precision': 0.947136563876652, 'recall': 0.9453517587939698, 'f1-score': 0.9462433197107828, 'support': 1592.0}, '1': {'precision': 0.6692015209125475, 'recall': 0.676923076923077, 'f1-score': 0.6730401529636711, 'support': 260.0}, 'accuracy': 0.9076673866090713, 'macro avg': {'precision': 0.8081690423945997, 'recall': 0.8111374178585233, 'f1-score': 0.809641736337227, 'support': 1852.0}, 'weighted avg': {'precision': 0.9081176053611729, 'recall': 0.9076673866090713, 'f1-score': 0.9078886634719874, 'support': 1852.0}} |
99
- | No log | 45.0 | 315 | 1.1708 | {'0': {'precision': 0.9428216283405843, 'recall': 0.9528894472361809, 'f1-score': 0.9478288034989066, 'support': 1592.0}, '1': {'precision': 0.691358024691358, 'recall': 0.6461538461538462, 'f1-score': 0.6679920477137177, 'support': 260.0}, 'accuracy': 0.9098272138228942, 'macro avg': {'precision': 0.8170898265159712, 'recall': 0.7995216466950135, 'f1-score': 0.8079104256063121, 'support': 1852.0}, 'weighted avg': {'precision': 0.907518962601492, 'recall': 0.9098272138228942, 'f1-score': 0.908542865861677, 'support': 1852.0}} |
100
- | No log | 46.0 | 322 | 1.1573 | {'0': {'precision': 0.9448275862068966, 'recall': 0.946608040201005, 'f1-score': 0.945716975211798, 'support': 1592.0}, '1': {'precision': 0.669260700389105, 'recall': 0.6615384615384615, 'f1-score': 0.6653771760154739, 'support': 260.0}, 'accuracy': 0.9065874730021598, 'macro avg': {'precision': 0.8070441432980008, 'recall': 0.8040732508697332, 'f1-score': 0.8055470756136359, 'support': 1852.0}, 'weighted avg': {'precision': 0.9061410903577466, 'recall': 0.9065874730021598, 'f1-score': 0.9063604159293767, 'support': 1852.0}} |
101
- | No log | 47.0 | 329 | 1.2032 | {'0': {'precision': 0.9451029320024953, 'recall': 0.9516331658291457, 'f1-score': 0.9483568075117371, 'support': 1592.0}, '1': {'precision': 0.6907630522088354, 'recall': 0.6615384615384615, 'f1-score': 0.6758349705304518, 'support': 260.0}, 'accuracy': 0.9109071274298056, 'macro avg': {'precision': 0.8179329921056653, 'recall': 0.8065858136838036, 'f1-score': 0.8120958890210945, 'support': 1852.0}, 'weighted avg': {'precision': 0.909396469396474, 'recall': 0.9109071274298056, 'f1-score': 0.9100978023199799, 'support': 1852.0}} |
102
- | No log | 48.0 | 336 | 1.2341 | {'0': {'precision': 0.944792973651192, 'recall': 0.9459798994974874, 'f1-score': 0.9453860640301318, 'support': 1592.0}, '1': {'precision': 0.6666666666666666, 'recall': 0.6615384615384615, 'f1-score': 0.6640926640926641, 'support': 260.0}, 'accuracy': 0.906047516198704, 'macro avg': {'precision': 0.8057298201589294, 'recall': 0.8037591805179745, 'f1-score': 0.804739364061398, 'support': 1852.0}, 'weighted avg': {'precision': 0.9057471638153515, 'recall': 0.906047516198704, 'f1-score': 0.9058956299136406, 'support': 1852.0}} |
103
- | No log | 49.0 | 343 | 1.2748 | {'0': {'precision': 0.9439252336448598, 'recall': 0.9516331658291457, 'f1-score': 0.9477635283077885, 'support': 1592.0}, '1': {'precision': 0.6882591093117408, 'recall': 0.6538461538461539, 'f1-score': 0.6706114398422091, 'support': 260.0}, 'accuracy': 0.9098272138228942, 'macro avg': {'precision': 0.8160921714783003, 'recall': 0.8027396598376497, 'f1-score': 0.8091874840749989, 'support': 1852.0}, 'weighted avg': {'precision': 0.9080325812006855, 'recall': 0.9098272138228942, 'f1-score': 0.908854487810461, 'support': 1852.0}} |
104
- | No log | 50.0 | 350 | 1.2539 | {'0': {'precision': 0.9437148217636022, 'recall': 0.9478643216080402, 'f1-score': 0.9457850203697901, 'support': 1592.0}, '1': {'precision': 0.6719367588932806, 'recall': 0.6538461538461539, 'f1-score': 0.6627680311890838, 'support': 260.0}, 'accuracy': 0.9065874730021598, 'macro avg': {'precision': 0.8078257903284414, 'recall': 0.800855237727097, 'f1-score': 0.8042765257794369, 'support': 1852.0}, 'weighted avg': {'precision': 0.9055602341036219, 'recall': 0.9065874730021598, 'f1-score': 0.9060526136813539, 'support': 1852.0}} |
105
 
106
 
107
  ### Framework versions
 
16
 
17
  This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 0.6929
20
+ - Classification Report: {'0': {'precision': 0.9591968911917098, 'recall': 0.9302763819095478, 'f1-score': 0.9445153061224489, 'support': 1592.0}, '1': {'precision': 0.6396103896103896, 'recall': 0.7576923076923077, 'f1-score': 0.6936619718309859, 'support': 260.0}, 'accuracy': 0.906047516198704, 'macro avg': {'precision': 0.7994036404010497, 'recall': 0.8439843448009277, 'f1-score': 0.8190886389767174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9143305356781336, 'recall': 0.906047516198704, 'f1-score': 0.9092983153471896, 'support': 1852.0}}
21
 
22
  ## Model description
23
 
 
36
  ### Training hyperparameters
37
 
38
  The following hyperparameters were used during training:
39
+ - learning_rate: 3e-06
40
  - train_batch_size: 256
41
  - eval_batch_size: 256
42
  - seed: 42
 
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Classification Report |
54
  |:-------------:|:-----:|:----:|:---------------:|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
55
+ | No log | 1.0 | 7 | 0.5014 | {'0': {'precision': 0.9632352941176471, 'recall': 0.6582914572864321, 'f1-score': 0.7820895522388059, 'support': 1592.0}, '1': {'precision': 0.2879581151832461, 'recall': 0.8461538461538461, 'f1-score': 0.4296875, 'support': 260.0}, 'accuracy': 0.6846652267818575, 'macro avg': {'precision': 0.6255967046504466, 'recall': 0.7522226517201391, 'f1-score': 0.6058885261194029, 'support': 1852.0}, 'weighted avg': {'precision': 0.8684339623018024, 'recall': 0.6846652267818575, 'f1-score': 0.7326162619676992, 'support': 1852.0}} |
56
+ | No log | 2.0 | 14 | 0.4530 | {'0': {'precision': 0.9701213818860878, 'recall': 0.6526381909547738, 'f1-score': 0.7803229440480661, 'support': 1592.0}, '1': {'precision': 0.2919334186939821, 'recall': 0.8769230769230769, 'f1-score': 0.43804034582132567, 'support': 260.0}, 'accuracy': 0.6841252699784017, 'macro avg': {'precision': 0.6310274002900349, 'recall': 0.7647806339389254, 'f1-score': 0.6091816449346958, 'support': 1852.0}, 'weighted avg': {'precision': 0.8749114086517749, 'recall': 0.6841252699784017, 'f1-score': 0.7322703114676381, 'support': 1852.0}} |
57
+ | No log | 3.0 | 21 | 0.4317 | {'0': {'precision': 0.9817483189241114, 'recall': 0.6419597989949749, 'f1-score': 0.7763007975693126, 'support': 1592.0}, '1': {'precision': 0.2971639950678175, 'recall': 0.926923076923077, 'f1-score': 0.450046685340803, 'support': 260.0}, 'accuracy': 0.6819654427645788, 'macro avg': {'precision': 0.6394561569959645, 'recall': 0.7844414379590259, 'f1-score': 0.6131737414550578, 'support': 1852.0}, 'weighted avg': {'precision': 0.8856403684907225, 'recall': 0.6819654427645788, 'f1-score': 0.730498384405483, 'support': 1852.0}} |
58
+ | No log | 4.0 | 28 | 0.4093 | {'0': {'precision': 0.9842592592592593, 'recall': 0.667713567839196, 'f1-score': 0.7956586826347305, 'support': 1592.0}, '1': {'precision': 0.31476683937823835, 'recall': 0.9346153846153846, 'f1-score': 0.47093023255813954, 'support': 260.0}, 'accuracy': 0.7051835853131749, 'macro avg': {'precision': 0.6495130493187489, 'recall': 0.8011644762272903, 'f1-score': 0.633294457596435, 'support': 1852.0}, 'weighted avg': {'precision': 0.890270042645293, 'recall': 0.7051835853131749, 'f1-score': 0.7500704553021637, 'support': 1852.0}} |
59
+ | No log | 5.0 | 35 | 0.3908 | {'0': {'precision': 0.9814814814814815, 'recall': 0.6991206030150754, 'f1-score': 0.8165810711665444, 'support': 1592.0}, '1': {'precision': 0.3328690807799443, 'recall': 0.9192307692307692, 'f1-score': 0.4887525562372188, 'support': 260.0}, 'accuracy': 0.7300215982721382, 'macro avg': {'precision': 0.6571752811307129, 'recall': 0.8091756861229222, 'f1-score': 0.6526668137018816, 'support': 1852.0}, 'weighted avg': {'precision': 0.8904235850546999, 'recall': 0.7300215982721382, 'f1-score': 0.7705576295457968, 'support': 1852.0}} |
60
+ | No log | 6.0 | 42 | 0.3653 | {'0': {'precision': 0.9749216300940439, 'recall': 0.7814070351758794, 'f1-score': 0.8675034867503487, 'support': 1592.0}, '1': {'precision': 0.3958333333333333, 'recall': 0.8769230769230769, 'f1-score': 0.5454545454545454, 'support': 260.0}, 'accuracy': 0.7948164146868251, 'macro avg': {'precision': 0.6853774817136886, 'recall': 0.8291650560494781, 'f1-score': 0.706479016102447, 'support': 1852.0}, 'weighted avg': {'precision': 0.8936241370282854, 'recall': 0.7948164146868251, 'f1-score': 0.8222914323567695, 'support': 1852.0}} |
61
+ | No log | 7.0 | 49 | 0.3445 | {'0': {'precision': 0.9846029173419774, 'recall': 0.7631909547738693, 'f1-score': 0.8598726114649682, 'support': 1592.0}, '1': {'precision': 0.38996763754045305, 'recall': 0.926923076923077, 'f1-score': 0.5489749430523918, 'support': 260.0}, 'accuracy': 0.7861771058315334, 'macro avg': {'precision': 0.6872852774412153, 'recall': 0.8450570158484731, 'f1-score': 0.70442377725868, 'support': 1852.0}, 'weighted avg': {'precision': 0.9011228024670332, 'recall': 0.7861771058315334, 'f1-score': 0.8162260705431162, 'support': 1852.0}} |
62
+ | No log | 8.0 | 56 | 0.3300 | {'0': {'precision': 0.9827315541601256, 'recall': 0.7864321608040201, 'f1-score': 0.8736915561758548, 'support': 1592.0}, '1': {'precision': 0.4117647058823529, 'recall': 0.9153846153846154, 'f1-score': 0.568019093078759, 'support': 260.0}, 'accuracy': 0.8045356371490281, 'macro avg': {'precision': 0.6972481300212392, 'recall': 0.8509083880943178, 'f1-score': 0.7208553246273068, 'support': 1852.0}, 'weighted avg': {'precision': 0.9025742212485592, 'recall': 0.8045356371490281, 'f1-score': 0.8307785753954848, 'support': 1852.0}} |
63
+ | No log | 9.0 | 63 | 0.3195 | {'0': {'precision': 0.9785344189489267, 'recall': 0.8304020100502513, 'f1-score': 0.8984029901461094, 'support': 1592.0}, '1': {'precision': 0.46107784431137727, 'recall': 0.8884615384615384, 'f1-score': 0.607095926412615, 'support': 260.0}, 'accuracy': 0.8385529157667386, 'macro avg': {'precision': 0.719806131630152, 'recall': 0.8594317742558948, 'f1-score': 0.7527494582793621, 'support': 1852.0}, 'weighted avg': {'precision': 0.9058893274771326, 'recall': 0.8385529157667386, 'f1-score': 0.8575067500971307, 'support': 1852.0}} |
64
+ | No log | 10.0 | 70 | 0.3392 | {'0': {'precision': 0.9649359406608227, 'recall': 0.8988693467336684, 'f1-score': 0.9307317073170732, 'support': 1592.0}, '1': {'precision': 0.5636856368563685, 'recall': 0.8, 'f1-score': 0.6613672496025437, 'support': 260.0}, 'accuracy': 0.8849892008639308, 'macro avg': {'precision': 0.7643107887585956, 'recall': 0.8494346733668342, 'f1-score': 0.7960494784598084, 'support': 1852.0}, 'weighted avg': {'precision': 0.908604904489571, 'recall': 0.8849892008639308, 'f1-score': 0.8929159627135215, 'support': 1852.0}} |
65
+ | No log | 11.0 | 77 | 0.3113 | {'0': {'precision': 0.9741564967695621, 'recall': 0.8523869346733668, 'f1-score': 0.909212730318258, 'support': 1592.0}, '1': {'precision': 0.4880174291938998, 'recall': 0.8615384615384616, 'f1-score': 0.6230876216968011, 'support': 260.0}, 'accuracy': 0.853671706263499, 'macro avg': {'precision': 0.7310869629817309, 'recall': 0.8569626981059142, 'f1-score': 0.7661501760075295, 'support': 1852.0}, 'weighted avg': {'precision': 0.9059080315591559, 'recall': 0.853671706263499, 'f1-score': 0.8690439785679455, 'support': 1852.0}} |
66
+ | No log | 12.0 | 84 | 0.3071 | {'0': {'precision': 0.9806403574087863, 'recall': 0.8272613065326633, 'f1-score': 0.8974446337308347, 'support': 1592.0}, '1': {'precision': 0.45972495088408644, 'recall': 0.9, 'f1-score': 0.6085825747724317, 'support': 260.0}, 'accuracy': 0.8374730021598272, 'macro avg': {'precision': 0.7201826541464363, 'recall': 0.8636306532663316, 'f1-score': 0.7530136042516332, 'support': 1852.0}, 'weighted avg': {'precision': 0.9075096847865283, 'recall': 0.8374730021598272, 'f1-score': 0.8568916448921821, 'support': 1852.0}} |
67
+ | No log | 13.0 | 91 | 0.3209 | {'0': {'precision': 0.9712683952347583, 'recall': 0.8706030150753769, 'f1-score': 0.9181848294137132, 'support': 1592.0}, '1': {'precision': 0.5152941176470588, 'recall': 0.8423076923076923, 'f1-score': 0.6394160583941606, 'support': 260.0}, 'accuracy': 0.8666306695464363, 'macro avg': {'precision': 0.7432812564409086, 'recall': 0.8564553536915346, 'f1-score': 0.7788004439039369, 'support': 1852.0}, 'weighted avg': {'precision': 0.9072547277548437, 'recall': 0.8666306695464363, 'f1-score': 0.8790488248429337, 'support': 1852.0}} |
68
+ | No log | 14.0 | 98 | 0.3100 | {'0': {'precision': 0.9788783685360525, 'recall': 0.8442211055276382, 'f1-score': 0.9065767284991568, 'support': 1592.0}, '1': {'precision': 0.4822546972860125, 'recall': 0.8884615384615384, 'f1-score': 0.625169147496617, 'support': 260.0}, 'accuracy': 0.8504319654427646, 'macro avg': {'precision': 0.7305665329110325, 'recall': 0.8663413219945884, 'f1-score': 0.7658729379978869, 'support': 1852.0}, 'weighted avg': {'precision': 0.9091579827234119, 'recall': 0.8504319654427646, 'f1-score': 0.8670702646435087, 'support': 1852.0}} |
69
+ | No log | 15.0 | 105 | 0.3233 | {'0': {'precision': 0.9736842105263158, 'recall': 0.8599246231155779, 'f1-score': 0.9132755170113409, 'support': 1592.0}, '1': {'precision': 0.5, 'recall': 0.8576923076923076, 'f1-score': 0.6317280453257791, 'support': 260.0}, 'accuracy': 0.8596112311015118, 'macro avg': {'precision': 0.736842105263158, 'recall': 0.8588084654039427, 'f1-score': 0.7725017811685599, 'support': 1852.0}, 'weighted avg': {'precision': 0.907184267363874, 'recall': 0.8596112311015118, 'f1-score': 0.8737494140749229, 'support': 1852.0}} |
70
+ | No log | 16.0 | 112 | 0.3548 | {'0': {'precision': 0.9650067294751009, 'recall': 0.9007537688442211, 'f1-score': 0.9317738791423001, 'support': 1592.0}, '1': {'precision': 0.5683060109289617, 'recall': 0.8, 'f1-score': 0.6645367412140575, 'support': 260.0}, 'accuracy': 0.8866090712742981, 'macro avg': {'precision': 0.7666563702020313, 'recall': 0.8503768844221106, 'f1-score': 0.7981553101781789, 'support': 1852.0}, 'weighted avg': {'precision': 0.9093144039772629, 'recall': 0.8866090712742981, 'f1-score': 0.8942567863445987, 'support': 1852.0}} |
71
+ | No log | 17.0 | 119 | 0.3490 | {'0': {'precision': 0.9667571234735414, 'recall': 0.8951005025125628, 'f1-score': 0.9295499021526419, 'support': 1592.0}, '1': {'precision': 0.5582010582010583, 'recall': 0.8115384615384615, 'f1-score': 0.6614420062695925, 'support': 260.0}, 'accuracy': 0.8833693304535637, 'macro avg': {'precision': 0.7624790908372998, 'recall': 0.8533194820255121, 'f1-score': 0.7954959542111172, 'support': 1852.0}, 'weighted avg': {'precision': 0.909400440443927, 'recall': 0.8833693304535637, 'f1-score': 0.8919105647176565, 'support': 1852.0}} |
72
+ | No log | 18.0 | 126 | 0.3412 | {'0': {'precision': 0.9703652653342523, 'recall': 0.8844221105527639, 'f1-score': 0.9254025632599409, 'support': 1592.0}, '1': {'precision': 0.5411471321695761, 'recall': 0.8346153846153846, 'f1-score': 0.6565809379727685, 'support': 260.0}, 'accuracy': 0.8774298056155507, 'macro avg': {'precision': 0.7557561987519141, 'recall': 0.8595187475840742, 'f1-score': 0.7909917506163546, 'support': 1852.0}, 'weighted avg': {'precision': 0.910107860030356, 'recall': 0.8774298056155507, 'f1-score': 0.8876630262325841, 'support': 1852.0}} |
73
+ | No log | 19.0 | 133 | 0.3137 | {'0': {'precision': 0.9798957557706627, 'recall': 0.8266331658291457, 'f1-score': 0.8967632027257241, 'support': 1592.0}, '1': {'precision': 0.4577603143418468, 'recall': 0.8961538461538462, 'f1-score': 0.6059817945383615, 'support': 260.0}, 'accuracy': 0.8363930885529157, 'macro avg': {'precision': 0.7188280350562547, 'recall': 0.8613935059914959, 'f1-score': 0.7513724986320428, 'support': 1852.0}, 'weighted avg': {'precision': 0.9065938039502026, 'recall': 0.8363930885529157, 'f1-score': 0.8559407588117315, 'support': 1852.0}} |
74
+ | No log | 20.0 | 140 | 0.3280 | {'0': {'precision': 0.9752124645892352, 'recall': 0.8649497487437185, 'f1-score': 0.9167776298268975, 'support': 1592.0}, '1': {'precision': 0.5113636363636364, 'recall': 0.8653846153846154, 'f1-score': 0.6428571428571429, 'support': 260.0}, 'accuracy': 0.8650107991360692, 'macro avg': {'precision': 0.7432880504764358, 'recall': 0.865167182064167, 'f1-score': 0.7798173863420201, 'support': 1852.0}, 'weighted avg': {'precision': 0.9100932986396372, 'recall': 0.8650107991360692, 'f1-score': 0.8783222698851392, 'support': 1852.0}} |
75
+ | No log | 21.0 | 147 | 0.4486 | {'0': {'precision': 0.9589308996088657, 'recall': 0.9239949748743719, 'f1-score': 0.9411388355726168, 'support': 1592.0}, '1': {'precision': 0.6194968553459119, 'recall': 0.7576923076923077, 'f1-score': 0.6816608996539792, 'support': 260.0}, 'accuracy': 0.9006479481641468, 'macro avg': {'precision': 0.7892138774773888, 'recall': 0.8408436412833398, 'f1-score': 0.8113998676132981, 'support': 1852.0}, 'weighted avg': {'precision': 0.9112781720125547, 'recall': 0.9006479481641468, 'f1-score': 0.9047110475926784, 'support': 1852.0}} |
76
+ | No log | 22.0 | 154 | 0.3509 | {'0': {'precision': 0.9698009608785175, 'recall': 0.8875628140703518, 'f1-score': 0.9268612659888488, 'support': 1592.0}, '1': {'precision': 0.5468354430379747, 'recall': 0.8307692307692308, 'f1-score': 0.6595419847328244, 'support': 260.0}, 'accuracy': 0.8795896328293736, 'macro avg': {'precision': 0.7583182019582462, 'recall': 0.8591660224197912, 'f1-score': 0.7932016253608366, 'support': 1852.0}, 'weighted avg': {'precision': 0.9104213525423722, 'recall': 0.8795896328293736, 'f1-score': 0.8893326411904868, 'support': 1852.0}} |
77
+ | No log | 23.0 | 161 | 0.4023 | {'0': {'precision': 0.9673024523160763, 'recall': 0.8919597989949749, 'f1-score': 0.9281045751633987, 'support': 1592.0}, '1': {'precision': 0.5520833333333334, 'recall': 0.8153846153846154, 'f1-score': 0.6583850931677019, 'support': 260.0}, 'accuracy': 0.8812095032397408, 'macro avg': {'precision': 0.7596928928247049, 'recall': 0.8536722071897951, 'f1-score': 0.7932448341655502, 'support': 1852.0}, 'weighted avg': {'precision': 0.9090103513789742, 'recall': 0.8812095032397408, 'f1-score': 0.8902389891380849, 'support': 1852.0}} |
78
+ | No log | 24.0 | 168 | 0.3691 | {'0': {'precision': 0.9696760854583046, 'recall': 0.8837939698492462, 'f1-score': 0.924745317121262, 'support': 1592.0}, '1': {'precision': 0.5386533665835411, 'recall': 0.8307692307692308, 'f1-score': 0.653555219364599, 'support': 260.0}, 'accuracy': 0.8763498920086393, 'macro avg': {'precision': 0.7541647260209229, 'recall': 0.8572816003092385, 'f1-score': 0.7891502682429306, 'support': 1852.0}, 'weighted avg': {'precision': 0.9091653365881973, 'recall': 0.8763498920086393, 'f1-score': 0.8866732731597434, 'support': 1852.0}} |
79
+ | No log | 25.0 | 175 | 0.4315 | {'0': {'precision': 0.965287049399199, 'recall': 0.9082914572864321, 'f1-score': 0.9359223300970874, 'support': 1592.0}, '1': {'precision': 0.5875706214689266, 'recall': 0.8, 'f1-score': 0.6775244299674267, 'support': 260.0}, 'accuracy': 0.8930885529157667, 'macro avg': {'precision': 0.7764288354340627, 'recall': 0.8541457286432161, 'f1-score': 0.8067233800322571, 'support': 1852.0}, 'weighted avg': {'precision': 0.9122599050893335, 'recall': 0.8930885529157667, 'f1-score': 0.8996461670119297, 'support': 1852.0}} |
80
+ | No log | 26.0 | 182 | 0.5167 | {'0': {'precision': 0.9607072691552063, 'recall': 0.9214824120603015, 'f1-score': 0.9406861173453029, 'support': 1592.0}, '1': {'precision': 0.6153846153846154, 'recall': 0.7692307692307693, 'f1-score': 0.6837606837606838, 'support': 260.0}, 'accuracy': 0.9001079913606912, 'macro avg': {'precision': 0.7880459422699109, 'recall': 0.8453565906455354, 'f1-score': 0.8122234005529934, 'support': 1852.0}, 'weighted avg': {'precision': 0.9122278469195941, 'recall': 0.9001079913606912, 'f1-score': 0.904616672025648, 'support': 1852.0}} |
81
+ | No log | 27.0 | 189 | 0.4814 | {'0': {'precision': 0.9638157894736842, 'recall': 0.9202261306532663, 'f1-score': 0.9415167095115681, 'support': 1592.0}, '1': {'precision': 0.6174698795180723, 'recall': 0.7884615384615384, 'f1-score': 0.6925675675675675, 'support': 260.0}, 'accuracy': 0.9017278617710583, 'macro avg': {'precision': 0.7906428344958782, 'recall': 0.8543438345574024, 'f1-score': 0.8170421385395679, 'support': 1852.0}, 'weighted avg': {'precision': 0.9151927135619892, 'recall': 0.9017278617710583, 'f1-score': 0.9065670459557149, 'support': 1852.0}} |
82
+ | No log | 28.0 | 196 | 0.3947 | {'0': {'precision': 0.9722607489597781, 'recall': 0.8806532663316583, 'f1-score': 0.9241924851680949, 'support': 1592.0}, '1': {'precision': 0.5365853658536586, 'recall': 0.8461538461538461, 'f1-score': 0.6567164179104478, 'support': 260.0}, 'accuracy': 0.8758099352051836, 'macro avg': {'precision': 0.7544230574067183, 'recall': 0.8634035562427522, 'f1-score': 0.7904544515392713, 'support': 1852.0}, 'weighted avg': {'precision': 0.9110968182861328, 'recall': 0.8758099352051836, 'f1-score': 0.8866418493759847, 'support': 1852.0}} |
83
+ | No log | 29.0 | 203 | 0.4121 | {'0': {'precision': 0.9721448467966574, 'recall': 0.8768844221105527, 'f1-score': 0.9220607661822986, 'support': 1592.0}, '1': {'precision': 0.5288461538461539, 'recall': 0.8461538461538461, 'f1-score': 0.650887573964497, 'support': 260.0}, 'accuracy': 0.8725701943844493, 'macro avg': {'precision': 0.7504955003214056, 'recall': 0.8615191341321995, 'f1-score': 0.7864741700733978, 'support': 1852.0}, 'weighted avg': {'precision': 0.9099106890390273, 'recall': 0.8725701943844493, 'f1-score': 0.8839910955685685, 'support': 1852.0}} |
84
+ | No log | 30.0 | 210 | 0.4944 | {'0': {'precision': 0.9639759839893263, 'recall': 0.9076633165829145, 'f1-score': 0.9349725008087998, 'support': 1592.0}, '1': {'precision': 0.5835694050991501, 'recall': 0.7923076923076923, 'f1-score': 0.6721044045676998, 'support': 260.0}, 'accuracy': 0.8914686825053996, 'macro avg': {'precision': 0.7737726945442382, 'recall': 0.8499855044453034, 'f1-score': 0.8035384526882499, 'support': 1852.0}, 'weighted avg': {'precision': 0.9105711726980488, 'recall': 0.8914686825053996, 'f1-score': 0.8980687723948224, 'support': 1852.0}} |
85
+ | No log | 31.0 | 217 | 0.5331 | {'0': {'precision': 0.9653102068045364, 'recall': 0.9089195979899497, 'f1-score': 0.9362665803946942, 'support': 1592.0}, '1': {'precision': 0.5892351274787535, 'recall': 0.8, 'f1-score': 0.6786296900489397, 'support': 260.0}, 'accuracy': 0.8936285097192225, 'macro avg': {'precision': 0.777272667141645, 'recall': 0.8544597989949749, 'f1-score': 0.807448135221817, 'support': 1852.0}, 'weighted avg': {'precision': 0.9125134894045885, 'recall': 0.8936285097192225, 'f1-score': 0.9000972545362189, 'support': 1852.0}} |
86
+ | No log | 32.0 | 224 | 0.6138 | {'0': {'precision': 0.9595827900912647, 'recall': 0.9246231155778895, 'f1-score': 0.9417786308381318, 'support': 1592.0}, '1': {'precision': 0.6226415094339622, 'recall': 0.7615384615384615, 'f1-score': 0.6851211072664359, 'support': 260.0}, 'accuracy': 0.9017278617710583, 'macro avg': {'precision': 0.7911121497626135, 'recall': 0.8430807885581755, 'f1-score': 0.8134498690522839, 'support': 1852.0}, 'weighted avg': {'precision': 0.912280018508706, 'recall': 0.9017278617710583, 'f1-score': 0.9057467970753668, 'support': 1852.0}} |
87
+ | No log | 33.0 | 231 | 0.4627 | {'0': {'precision': 0.971252566735113, 'recall': 0.8913316582914573, 'f1-score': 0.9295774647887324, 'support': 1592.0}, '1': {'precision': 0.5575447570332481, 'recall': 0.8384615384615385, 'f1-score': 0.6697388632872504, 'support': 260.0}, 'accuracy': 0.8839092872570194, 'macro avg': {'precision': 0.7643986618841805, 'recall': 0.8648965983764979, 'f1-score': 0.7996581640379914, 'support': 1852.0}, 'weighted avg': {'precision': 0.9131726366473781, 'recall': 0.8839092872570194, 'f1-score': 0.8930990434116344, 'support': 1852.0}} |
88
+ | No log | 34.0 | 238 | 0.4763 | {'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}} |
89
+ | No log | 35.0 | 245 | 0.6053 | {'0': {'precision': 0.9601307189542484, 'recall': 0.9227386934673367, 'f1-score': 0.9410634208840487, 'support': 1592.0}, '1': {'precision': 0.6180124223602484, 'recall': 0.7653846153846153, 'f1-score': 0.6838487972508591, 'support': 260.0}, 'accuracy': 0.9006479481641468, 'macro avg': {'precision': 0.7890715706572484, 'recall': 0.844061654425976, 'f1-score': 0.8124561090674539, 'support': 1852.0}, 'weighted avg': {'precision': 0.912101152477769, 'recall': 0.9006479481641468, 'f1-score': 0.9049533765294973, 'support': 1852.0}} |
90
+ | No log | 36.0 | 252 | 0.5587 | {'0': {'precision': 0.9658634538152611, 'recall': 0.9064070351758794, 'f1-score': 0.9351911860012961, 'support': 1592.0}, '1': {'precision': 0.5837988826815642, 'recall': 0.8038461538461539, 'f1-score': 0.6763754045307443, 'support': 260.0}, 'accuracy': 0.8920086393088553, 'macro avg': {'precision': 0.7748311682484126, 'recall': 0.8551265945110167, 'f1-score': 0.8057832952660202, 'support': 1852.0}, 'weighted avg': {'precision': 0.9122258790340725, 'recall': 0.8920086393088553, 'f1-score': 0.8988563570691452, 'support': 1852.0}} |
91
+ | No log | 37.0 | 259 | 0.6042 | {'0': {'precision': 0.9643093192333113, 'recall': 0.9164572864321608, 'f1-score': 0.9397745571658616, 'support': 1592.0}, '1': {'precision': 0.6076696165191741, 'recall': 0.7923076923076923, 'f1-score': 0.6878130217028381, 'support': 260.0}, 'accuracy': 0.8990280777537797, 'macro avg': {'precision': 0.7859894678762427, 'recall': 0.8543824893699266, 'f1-score': 0.8137937894343499, 'support': 1852.0}, 'weighted avg': {'precision': 0.9142411104289507, 'recall': 0.8990280777537797, 'f1-score': 0.9044019873924348, 'support': 1852.0}} |
92
+ | No log | 38.0 | 266 | 0.4820 | {'0': {'precision': 0.9724137931034482, 'recall': 0.885678391959799, 'f1-score': 0.9270216962524654, 'support': 1592.0}, '1': {'precision': 0.5472636815920398, 'recall': 0.8461538461538461, 'f1-score': 0.6646525679758308, 'support': 260.0}, 'accuracy': 0.8801295896328294, 'macro avg': {'precision': 0.759838737347744, 'recall': 0.8659161190568225, 'f1-score': 0.7958371321141482, 'support': 1852.0}, 'weighted avg': {'precision': 0.9127274923513067, 'recall': 0.8801295896328294, 'f1-score': 0.8901880173367391, 'support': 1852.0}} |
93
+ | No log | 39.0 | 273 | 0.5244 | {'0': {'precision': 0.9681787406905891, 'recall': 0.8982412060301508, 'f1-score': 0.931899641577061, 'support': 1592.0}, '1': {'precision': 0.568, 'recall': 0.8192307692307692, 'f1-score': 0.6708661417322834, 'support': 260.0}, 'accuracy': 0.8871490280777538, 'macro avg': {'precision': 0.7680893703452945, 'recall': 0.85873598763046, 'f1-score': 0.8013828916546721, 'support': 1852.0}, 'weighted avg': {'precision': 0.91199813994569, 'recall': 0.8871490280777538, 'f1-score': 0.8952534698925889, 'support': 1852.0}} |
94
+ | No log | 40.0 | 280 | 0.6345 | {'0': {'precision': 0.9620915032679739, 'recall': 0.9246231155778895, 'f1-score': 0.942985265855221, 'support': 1592.0}, '1': {'precision': 0.6273291925465838, 'recall': 0.7769230769230769, 'f1-score': 0.6941580756013745, 'support': 260.0}, 'accuracy': 0.9038876889848813, 'macro avg': {'precision': 0.7947103479072788, 'recall': 0.8507730962504831, 'f1-score': 0.8185716707282977, 'support': 1852.0}, 'weighted avg': {'precision': 0.9150946345921848, 'recall': 0.9038876889848813, 'f1-score': 0.9080527229470137, 'support': 1852.0}} |
95
+ | No log | 41.0 | 287 | 0.7174 | {'0': {'precision': 0.955470737913486, 'recall': 0.9434673366834171, 'f1-score': 0.9494310998735778, 'support': 1592.0}, '1': {'precision': 0.6785714285714286, 'recall': 0.7307692307692307, 'f1-score': 0.7037037037037037, 'support': 260.0}, 'accuracy': 0.9136069114470843, 'macro avg': {'precision': 0.8170210832424574, 'recall': 0.8371182837263239, 'f1-score': 0.8265674017886407, 'support': 1852.0}, 'weighted avg': {'precision': 0.9165971847661131, 'recall': 0.9136069114470843, 'f1-score': 0.9149337332406581, 'support': 1852.0}} |
96
+ | No log | 42.0 | 294 | 0.5540 | {'0': {'precision': 0.9675675675675676, 'recall': 0.8994974874371859, 'f1-score': 0.9322916666666666, 'support': 1592.0}, '1': {'precision': 0.5698924731182796, 'recall': 0.8153846153846154, 'f1-score': 0.6708860759493671, 'support': 260.0}, 'accuracy': 0.8876889848812095, 'macro avg': {'precision': 0.7687300203429236, 'recall': 0.8574410514109007, 'f1-score': 0.8015888713080168, 'support': 1852.0}, 'weighted avg': {'precision': 0.9117384506362421, 'recall': 0.8876889848812095, 'f1-score': 0.8955932576026828, 'support': 1852.0}} |
97
+ | No log | 43.0 | 301 | 0.6035 | {'0': {'precision': 0.9635520212060967, 'recall': 0.9133165829145728, 'f1-score': 0.9377620122541116, 'support': 1592.0}, '1': {'precision': 0.597667638483965, 'recall': 0.7884615384615384, 'f1-score': 0.6799336650082919, 'support': 260.0}, 'accuracy': 0.8957883369330454, 'macro avg': {'precision': 0.7806098298450308, 'recall': 0.8508890606880557, 'f1-score': 0.8088478386312017, 'support': 1852.0}, 'weighted avg': {'precision': 0.9121859631565533, 'recall': 0.8957883369330454, 'f1-score': 0.901565807997139, 'support': 1852.0}} |
98
+ | No log | 44.0 | 308 | 0.6903 | {'0': {'precision': 0.9587362991618311, 'recall': 0.9340452261306532, 'f1-score': 0.9462297168310532, 'support': 1592.0}, '1': {'precision': 0.6511627906976745, 'recall': 0.7538461538461538, 'f1-score': 0.6987522281639929, 'support': 260.0}, 'accuracy': 0.9087473002159827, 'macro avg': {'precision': 0.8049495449297528, 'recall': 0.8439456899884035, 'f1-score': 0.822490972497523, 'support': 1852.0}, 'weighted avg': {'precision': 0.9155564329627595, 'recall': 0.9087473002159827, 'f1-score': 0.911486656866995, 'support': 1852.0}} |
99
+ | No log | 45.0 | 315 | 0.7107 | {'0': {'precision': 0.9588688946015425, 'recall': 0.9371859296482412, 'f1-score': 0.9479034307496823, 'support': 1592.0}, '1': {'precision': 0.6621621621621622, 'recall': 0.7538461538461538, 'f1-score': 0.7050359712230215, 'support': 260.0}, 'accuracy': 0.9114470842332614, 'macro avg': {'precision': 0.8105155283818524, 'recall': 0.8455160417471975, 'f1-score': 0.826469700986352, 'support': 1852.0}, 'weighted avg': {'precision': 0.9172146017104847, 'recall': 0.9114470842332614, 'f1-score': 0.9138075671012311, 'support': 1852.0}} |
100
+ | No log | 46.0 | 322 | 0.6314 | {'0': {'precision': 0.9625246548323472, 'recall': 0.9195979899497487, 'f1-score': 0.9405717956954706, 'support': 1592.0}, '1': {'precision': 0.6132930513595166, 'recall': 0.7807692307692308, 'f1-score': 0.6869712351945855, 'support': 260.0}, 'accuracy': 0.9001079913606912, 'macro avg': {'precision': 0.787908853095932, 'recall': 0.8501836103594897, 'f1-score': 0.813771515445028, 'support': 1852.0}, 'weighted avg': {'precision': 0.9134964599603516, 'recall': 0.9001079913606912, 'f1-score': 0.9049691252147847, 'support': 1852.0}} |
101
+ | No log | 47.0 | 329 | 0.6935 | {'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}} |
102
+ | No log | 48.0 | 336 | 0.6577 | {'0': {'precision': 0.9633507853403142, 'recall': 0.9246231155778895, 'f1-score': 0.9435897435897436, 'support': 1592.0}, '1': {'precision': 0.6296296296296297, 'recall': 0.7846153846153846, 'f1-score': 0.6986301369863014, 'support': 260.0}, 'accuracy': 0.9049676025917927, 'macro avg': {'precision': 0.7964902074849719, 'recall': 0.854619250096637, 'f1-score': 0.8211099402880224, 'support': 1852.0}, 'weighted avg': {'precision': 0.9165000831347104, 'recall': 0.9049676025917927, 'f1-score': 0.9092001659888282, 'support': 1852.0}} |
103
+ | No log | 49.0 | 343 | 0.7270 | {'0': {'precision': 0.9582530507385999, 'recall': 0.9371859296482412, 'f1-score': 0.947602413464592, 'support': 1592.0}, '1': {'precision': 0.6610169491525424, 'recall': 0.75, 'f1-score': 0.7027027027027027, 'support': 260.0}, 'accuracy': 0.9109071274298056, 'macro avg': {'precision': 0.8096349999455712, 'recall': 0.8435929648241206, 'f1-score': 0.8251525580836474, 'support': 1852.0}, 'weighted avg': {'precision': 0.9165244403647473, 'recall': 0.9109071274298056, 'f1-score': 0.9132212445671346, 'support': 1852.0}} |
104
+ | No log | 50.0 | 350 | 0.6929 | {'0': {'precision': 0.9591968911917098, 'recall': 0.9302763819095478, 'f1-score': 0.9445153061224489, 'support': 1592.0}, '1': {'precision': 0.6396103896103896, 'recall': 0.7576923076923077, 'f1-score': 0.6936619718309859, 'support': 260.0}, 'accuracy': 0.906047516198704, 'macro avg': {'precision': 0.7994036404010497, 'recall': 0.8439843448009277, 'f1-score': 0.8190886389767174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9143305356781336, 'recall': 0.906047516198704, 'f1-score': 0.9092983153471896, 'support': 1852.0}} |
105
 
106
 
107
  ### Framework versions
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