pytorch generated_from_trainer dataset:glue license:apache-2.0 region:us
---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- f1
- accuracy
model-index:
- name: bert-base-uncased-test_16_5345
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-uncased-test_16_5345

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8214
- F1: {'f1': 0.8846905537459283}
- Accuracy: {'accuracy': 0.8302972195589645}

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2000

### Training results

| Training Loss | Epoch  | Step   | Validation Loss | F1                         | Accuracy                         |
|:-------------:|:------:|:------:|:---------------:|:--------------------------:|:--------------------------------:|
| No log        | 1.0    | 335    | 0.5804          | {'f1': 0.817717206132879}  | {'accuracy': 0.6922339405560882} |
| 0.5859        | 2.0    | 670    | 0.4981          | {'f1': 0.8567870485678706} | {'accuracy': 0.7794822627037392} |
| 0.4977        | 3.0    | 1005   | 0.4943          | {'f1': 0.8609022556390977} | {'accuracy': 0.7871524448705657} |
| 0.4977        | 4.0    | 1340   | 0.4540          | {'f1': 0.8674388674388674} | {'accuracy': 0.8024928092042186} |
| 0.4561        | 5.0    | 1675   | 0.4592          | {'f1': 0.8654217643271088} | {'accuracy': 0.7996164908916586} |
| 0.4227        | 6.0    | 2010   | 0.4749          | {'f1': 0.8677316293929712} | {'accuracy': 0.8015340364333653} |
| 0.4227        | 7.0    | 2345   | 0.4778          | {'f1': 0.8720560152768938} | {'accuracy': 0.8072866730584851} |
| 0.3912        | 8.0    | 2680   | 0.4874          | {'f1': 0.8702770780856423} | {'accuracy': 0.8024928092042186} |
| 0.3832        | 9.0    | 3015   | 0.4636          | {'f1': 0.8751592356687897} | {'accuracy': 0.8120805369127517} |
| 0.3832        | 10.0   | 3350   | 0.4715          | {'f1': 0.873490146217419}  | {'accuracy': 0.8092042186001918} |
| 0.3633        | 11.0   | 3685   | 0.4801          | {'f1': 0.8746835443037975} | {'accuracy': 0.8101629913710451} |
| 0.3534        | 12.0   | 4020   | 0.4806          | {'f1': 0.878017789072427}  | {'accuracy': 0.8159156279961649} |
| 0.3534        | 13.0   | 4355   | 0.4538          | {'f1': 0.8782051282051283} | {'accuracy': 0.8178331735378715} |
| 0.3402        | 14.0   | 4690   | 0.5009          | {'f1': 0.8788265306122449} | {'accuracy': 0.8178331735378715} |
| 0.3127        | 15.0   | 5025   | 0.4424          | {'f1': 0.878334417696812}  | {'accuracy': 0.8207094918504314} |
| 0.3127        | 16.0   | 5360   | 0.5587          | {'f1': 0.8708074534161491} | {'accuracy': 0.800575263662512}  |
| 0.3066        | 17.0   | 5695   | 0.4430          | {'f1': 0.8855656697009102} | {'accuracy': 0.8312559923298178} |
| 0.3058        | 18.0   | 6030   | 0.4962          | {'f1': 0.8796414852752881} | {'accuracy': 0.8197507190795782} |
| 0.3058        | 19.0   | 6365   | 0.4779          | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.2785        | 20.0   | 6700   | 0.5235          | {'f1': 0.8757097791798107} | {'accuracy': 0.8111217641418984} |
| 0.276         | 21.0   | 7035   | 0.4725          | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.276         | 22.0   | 7370   | 0.4551          | {'f1': 0.8844884488448844} | {'accuracy': 0.8322147651006712} |
| 0.2638        | 23.0   | 7705   | 0.5246          | {'f1': 0.8878865979381444} | {'accuracy': 0.8331735378715245} |
| 0.256         | 24.0   | 8040   | 0.4898          | {'f1': 0.881859264041317}  | {'accuracy': 0.8245445829338447} |
| 0.256         | 25.0   | 8375   | 0.5608          | {'f1': 0.87934301958307}   | {'accuracy': 0.8168744007670182} |
| 0.2501        | 26.0   | 8710   | 0.5682          | {'f1': 0.8833967046894803} | {'accuracy': 0.8235858101629914} |
| 0.2409        | 27.0   | 9045   | 0.5014          | {'f1': 0.8786049631120054} | {'accuracy': 0.8264621284755513} |
| 0.2409        | 28.0   | 9380   | 0.6560          | {'f1': 0.8690254500310366} | {'accuracy': 0.7976989453499521} |
| 0.2274        | 29.0   | 9715   | 0.5556          | {'f1': 0.8865845755022683} | {'accuracy': 0.8322147651006712} |
| 0.2234        | 30.0   | 10050  | 0.5468          | {'f1': 0.8839285714285714} | {'accuracy': 0.825503355704698}  |
| 0.2234        | 31.0   | 10385  | 0.5590          | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.2053        | 32.0   | 10720  | 0.6394          | {'f1': 0.8862047043865225} | {'accuracy': 0.8283796740172579} |
| 0.2051        | 33.0   | 11055  | 0.6475          | {'f1': 0.8800505050505051} | {'accuracy': 0.8178331735378715} |
| 0.2051        | 34.0   | 11390  | 0.5637          | {'f1': 0.8817345597897503} | {'accuracy': 0.8274209012464045} |
| 0.2003        | 35.0   | 11725  | 0.6592          | {'f1': 0.8809675366008912} | {'accuracy': 0.8207094918504314} |
| 0.1821        | 36.0   | 12060  | 0.6021          | {'f1': 0.8776699029126214} | {'accuracy': 0.8187919463087249} |
| 0.1821        | 37.0   | 12395  | 0.6652          | {'f1': 0.8798988621997472} | {'accuracy': 0.8178331735378715} |
| 0.1794        | 38.0   | 12730  | 0.6079          | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.1695        | 39.0   | 13065  | 0.6287          | {'f1': 0.884318766066838}  | {'accuracy': 0.8274209012464045} |
| 0.1695        | 40.0   | 13400  | 0.6532          | {'f1': 0.8763897972531065} | {'accuracy': 0.8187919463087249} |
| 0.1709        | 41.0   | 13735  | 0.6844          | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.1664        | 42.0   | 14070  | 0.7902          | {'f1': 0.8758664146187776} | {'accuracy': 0.8111217641418984} |
| 0.1664        | 43.0   | 14405  | 0.7809          | {'f1': 0.8750784682988072} | {'accuracy': 0.8092042186001918} |
| 0.1658        | 44.0   | 14740  | 0.7418          | {'f1': 0.8796414852752881} | {'accuracy': 0.8197507190795782} |
| 0.1626        | 45.0   | 15075  | 0.7835          | {'f1': 0.8780795957043588} | {'accuracy': 0.8149568552253116} |
| 0.1626        | 46.0   | 15410  | 0.7832          | {'f1': 0.8727272727272727} | {'accuracy': 0.8053691275167785} |
| 0.1568        | 47.0   | 15745  | 0.8162          | {'f1': 0.8786346396965866} | {'accuracy': 0.8159156279961649} |
| 0.1435        | 48.0   | 16080  | 0.7792          | {'f1': 0.8787301587301588} | {'accuracy': 0.8168744007670182} |
| 0.1435        | 49.0   | 16415  | 0.7505          | {'f1': 0.8819308545335943} | {'accuracy': 0.8264621284755513} |
| 0.1422        | 50.0   | 16750  | 0.7400          | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138}  |
| 0.1449        | 51.0   | 17085  | 0.8237          | {'f1': 0.876117496807152}  | {'accuracy': 0.8139980824544583} |
| 0.1449        | 52.0   | 17420  | 0.7569          | {'f1': 0.8796844181459565} | {'accuracy': 0.8245445829338447} |
| 0.1312        | 53.0   | 17755  | 0.7673          | {'f1': 0.874251497005988}  | {'accuracy': 0.8187919463087249} |
| 0.1376        | 54.0   | 18090  | 1.0797          | {'f1': 0.8718905472636816} | {'accuracy': 0.8024928092042186} |
| 0.1376        | 55.0   | 18425  | 0.8770          | {'f1': 0.8766233766233766} | {'accuracy': 0.8178331735378715} |
| 0.1205        | 56.0   | 18760  | 0.8752          | {'f1': 0.877642536835362}  | {'accuracy': 0.8168744007670182} |
| 0.1277        | 57.0   | 19095  | 0.9854          | {'f1': 0.8763474952441344} | {'accuracy': 0.8130393096836049} |
| 0.1277        | 58.0   | 19430  | 0.8095          | {'f1': 0.8778576094056172} | {'accuracy': 0.8207094918504314} |
| 0.1274        | 59.0   | 19765  | 0.8494          | {'f1': 0.8825806451612904} | {'accuracy': 0.825503355704698}  |
| 0.1161        | 60.0   | 20100  | 0.8805          | {'f1': 0.8752399232245682} | {'accuracy': 0.8130393096836049} |
| 0.1161        | 61.0   | 20435  | 0.8964          | {'f1': 0.87539531941809}   | {'accuracy': 0.8111217641418984} |
| 0.1181        | 62.0   | 20770  | 0.8991          | {'f1': 0.8792207792207791} | {'accuracy': 0.8216682646212847} |
| 0.1039        | 63.0   | 21105  | 0.8565          | {'f1': 0.8776699029126214} | {'accuracy': 0.8187919463087249} |
| 0.1039        | 64.0   | 21440  | 0.8743          | {'f1': 0.8820512820512821} | {'accuracy': 0.8235858101629914} |
| 0.0966        | 65.0   | 21775  | 0.9298          | {'f1': 0.8802547770700637} | {'accuracy': 0.8197507190795782} |
| 0.1063        | 66.0   | 22110  | 0.9383          | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.1063        | 67.0   | 22445  | 0.9079          | {'f1': 0.8772609819121446} | {'accuracy': 0.8178331735378715} |
| 0.0979        | 68.0   | 22780  | 0.9178          | {'f1': 0.8773523685918235} | {'accuracy': 0.8187919463087249} |
| 0.1029        | 69.0   | 23115  | 0.8791          | {'f1': 0.8752449379490528} | {'accuracy': 0.8168744007670182} |
| 0.1029        | 70.0   | 23450  | 0.8901          | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.1026        | 71.0   | 23785  | 1.1163          | {'f1': 0.8715083798882682} | {'accuracy': 0.8015340364333653} |
| 0.0932        | 72.0   | 24120  | 1.0499          | {'f1': 0.8768161718256475} | {'accuracy': 0.8130393096836049} |
| 0.0932        | 73.0   | 24455  | 0.9786          | {'f1': 0.8854766474728086} | {'accuracy': 0.8283796740172579} |
| 0.0958        | 74.0   | 24790  | 0.9004          | {'f1': 0.8851828094932649} | {'accuracy': 0.8283796740172579} |
| 0.0897        | 75.0   | 25125  | 0.9874          | {'f1': 0.8834513844172568} | {'accuracy': 0.8264621284755513} |
| 0.0897        | 76.0   | 25460  | 0.9677          | {'f1': 0.8837209302325582} | {'accuracy': 0.8274209012464045} |
| 0.0933        | 77.0   | 25795  | 0.9813          | {'f1': 0.879177377892031}  | {'accuracy': 0.8197507190795782} |
| 0.0938        | 78.0   | 26130  | 1.0899          | {'f1': 0.8772813089993707} | {'accuracy': 0.8130393096836049} |
| 0.0938        | 79.0   | 26465  | 0.9780          | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0849        | 80.0   | 26800  | 1.0851          | {'f1': 0.8781725888324874} | {'accuracy': 0.8159156279961649} |
| 0.0829        | 81.0   | 27135  | 0.9472          | {'f1': 0.8757396449704142} | {'accuracy': 0.8187919463087249} |
| 0.0829        | 82.0   | 27470  | 1.0028          | {'f1': 0.8785759694850604} | {'accuracy': 0.8168744007670182} |
| 0.0864        | 83.0   | 27805  | 0.9873          | {'f1': 0.8827674567584881} | {'accuracy': 0.8245445829338447} |
| 0.0787        | 84.0   | 28140  | 0.8788          | {'f1': 0.877454299255247}  | {'accuracy': 0.8264621284755513} |
| 0.0787        | 85.0   | 28475  | 1.2001          | {'f1': 0.8715710723192021} | {'accuracy': 0.8024928092042186} |
| 0.0835        | 86.0   | 28810  | 0.9610          | {'f1': 0.8850129198966409} | {'accuracy': 0.8293384467881112} |
| 0.0721        | 87.0   | 29145  | 1.0461          | {'f1': 0.8811369509043928} | {'accuracy': 0.8235858101629914} |
| 0.0721        | 88.0   | 29480  | 1.0201          | {'f1': 0.8842921784098255} | {'accuracy': 0.8283796740172579} |
| 0.0745        | 89.0   | 29815  | 1.0696          | {'f1': 0.8803582853486884} | {'accuracy': 0.8207094918504314} |
| 0.0748        | 90.0   | 30150  | 1.0277          | {'f1': 0.8787483702737942} | {'accuracy': 0.8216682646212847} |
| 0.0748        | 91.0   | 30485  | 1.2406          | {'f1': 0.8743718592964824} | {'accuracy': 0.8082454458293384} |
| 0.0671        | 92.0   | 30820  | 1.0602          | {'f1': 0.8766066838046273} | {'accuracy': 0.8159156279961649} |
| 0.0668        | 93.0   | 31155  | 1.0274          | {'f1': 0.8751625487646294} | {'accuracy': 0.8159156279961649} |
| 0.0668        | 94.0   | 31490  | 1.0361          | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.069         | 95.0   | 31825  | 1.0801          | {'f1': 0.8785166240409207} | {'accuracy': 0.8178331735378715} |
| 0.0667        | 96.0   | 32160  | 1.0670          | {'f1': 0.8834513844172568} | {'accuracy': 0.8264621284755513} |
| 0.0667        | 97.0   | 32495  | 1.2035          | {'f1': 0.8811630847029078} | {'accuracy': 0.8197507190795782} |
| 0.0631        | 98.0   | 32830  | 1.0649          | {'f1': 0.8853299167200512} | {'accuracy': 0.8283796740172579} |
| 0.0749        | 99.0   | 33165  | 1.0805          | {'f1': 0.8837508028259474} | {'accuracy': 0.8264621284755513} |
| 0.0598        | 100.0  | 33500  | 1.1548          | {'f1': 0.8844415752098128} | {'accuracy': 0.8283796740172579} |
| 0.0598        | 101.0  | 33835  | 1.1832          | {'f1': 0.8785166240409207} | {'accuracy': 0.8178331735378715} |
| 0.0596        | 102.0  | 34170  | 1.1726          | {'f1': 0.8778625954198473} | {'accuracy': 0.8159156279961649} |
| 0.0612        | 103.0  | 34505  | 1.1259          | {'f1': 0.8823151125401929} | {'accuracy': 0.8245445829338447} |
| 0.0612        | 104.0  | 34840  | 1.0810          | {'f1': 0.8857327307940606} | {'accuracy': 0.8302972195589645} |
| 0.0672        | 105.0  | 35175  | 1.1677          | {'f1': 0.8810741687979541} | {'accuracy': 0.8216682646212847} |
| 0.0624        | 106.0  | 35510  | 1.1728          | {'f1': 0.8794871794871796} | {'accuracy': 0.8197507190795782} |
| 0.0624        | 107.0  | 35845  | 1.1968          | {'f1': 0.8854766474728086} | {'accuracy': 0.8283796740172579} |
| 0.0597        | 108.0  | 36180  | 1.1626          | {'f1': 0.8841970569417786} | {'accuracy': 0.8264621284755513} |
| 0.0627        | 109.0  | 36515  | 1.1067          | {'f1': 0.8870129870129869} | {'accuracy': 0.8331735378715245} |
| 0.0627        | 110.0  | 36850  | 1.1216          | {'f1': 0.8854368932038835} | {'accuracy': 0.8302972195589645} |
| 0.0497        | 111.0  | 37185  | 1.1710          | {'f1': 0.8803088803088803} | {'accuracy': 0.8216682646212847} |
| 0.0551        | 112.0  | 37520  | 1.1882          | {'f1': 0.8802547770700637} | {'accuracy': 0.8197507190795782} |
| 0.0551        | 113.0  | 37855  | 1.1644          | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0597        | 114.0  | 38190  | 1.0852          | {'f1': 0.8863049095607234} | {'accuracy': 0.8312559923298178} |
| 0.0444        | 115.0  | 38525  | 1.2478          | {'f1': 0.8772151898734178} | {'accuracy': 0.8139980824544583} |
| 0.0444        | 116.0  | 38860  | 1.1119          | {'f1': 0.8817480719794344} | {'accuracy': 0.8235858101629914} |
| 0.053         | 117.0  | 39195  | 1.2588          | {'f1': 0.8709880427942103} | {'accuracy': 0.8034515819750719} |
| 0.0519        | 118.0  | 39530  | 1.1433          | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138}  |
| 0.0519        | 119.0  | 39865  | 1.1480          | {'f1': 0.8833010960670536} | {'accuracy': 0.8264621284755513} |
| 0.0567        | 120.0  | 40200  | 1.2303          | {'f1': 0.8850574712643677} | {'accuracy': 0.8274209012464045} |
| 0.0478        | 121.0  | 40535  | 1.3070          | {'f1': 0.8784213876511776} | {'accuracy': 0.8168744007670182} |
| 0.0478        | 122.0  | 40870  | 1.2091          | {'f1': 0.8850129198966409} | {'accuracy': 0.8293384467881112} |
| 0.0454        | 123.0  | 41205  | 1.2617          | {'f1': 0.8790786948176584} | {'accuracy': 0.8187919463087249} |
| 0.052         | 124.0  | 41540  | 1.1830          | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.052         | 125.0  | 41875  | 1.1763          | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0414        | 126.0  | 42210  | 1.0855          | {'f1': 0.888888888888889}  | {'accuracy': 0.8389261744966443} |
| 0.0436        | 127.0  | 42545  | 1.0968          | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0436        | 128.0  | 42880  | 1.2527          | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.0446        | 129.0  | 43215  | 1.1601          | {'f1': 0.8798972382787411} | {'accuracy': 0.8207094918504314} |
| 0.049         | 130.0  | 43550  | 1.1404          | {'f1': 0.8865710560625816} | {'accuracy': 0.8331735378715245} |
| 0.049         | 131.0  | 43885  | 1.1282          | {'f1': 0.8817766165904638} | {'accuracy': 0.8264621284755513} |
| 0.0423        | 132.0  | 44220  | 1.1854          | {'f1': 0.8804627249357326} | {'accuracy': 0.8216682646212847} |
| 0.0425        | 133.0  | 44555  | 1.1647          | {'f1': 0.8792207792207791} | {'accuracy': 0.8216682646212847} |
| 0.0425        | 134.0  | 44890  | 1.2484          | {'f1': 0.8813341885824246} | {'accuracy': 0.822627037392138}  |
| 0.0461        | 135.0  | 45225  | 1.2505          | {'f1': 0.8812903225806452} | {'accuracy': 0.8235858101629914} |
| 0.0342        | 136.0  | 45560  | 1.1941          | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0342        | 137.0  | 45895  | 1.2203          | {'f1': 0.8823151125401929} | {'accuracy': 0.8245445829338447} |
| 0.0421        | 138.0  | 46230  | 1.1508          | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.0415        | 139.0  | 46565  | 1.2784          | {'f1': 0.8766946417043254} | {'accuracy': 0.8168744007670182} |
| 0.0415        | 140.0  | 46900  | 1.2567          | {'f1': 0.8815958815958816} | {'accuracy': 0.8235858101629914} |
| 0.045         | 141.0  | 47235  | 1.1752          | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.041         | 142.0  | 47570  | 1.3445          | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.041         | 143.0  | 47905  | 1.2438          | {'f1': 0.8804627249357326} | {'accuracy': 0.8216682646212847} |
| 0.0464        | 144.0  | 48240  | 1.1829          | {'f1': 0.8864229765013055} | {'accuracy': 0.8331735378715245} |
| 0.0384        | 145.0  | 48575  | 1.2665          | {'f1': 0.8837209302325582} | {'accuracy': 0.8274209012464045} |
| 0.0384        | 146.0  | 48910  | 1.1613          | {'f1': 0.8884488448844885} | {'accuracy': 0.837967401725791}  |
| 0.0356        | 147.0  | 49245  | 1.3262          | {'f1': 0.8798972382787411} | {'accuracy': 0.8207094918504314} |
| 0.037         | 148.0  | 49580  | 1.2797          | {'f1': 0.8797427652733119} | {'accuracy': 0.8207094918504314} |
| 0.037         | 149.0  | 49915  | 1.3262          | {'f1': 0.8757170172084129} | {'accuracy': 0.8130393096836049} |
| 0.0369        | 150.0  | 50250  | 1.2448          | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.0365        | 151.0  | 50585  | 1.2979          | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.0365        | 152.0  | 50920  | 1.2667          | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.0308        | 153.0  | 51255  | 1.2065          | {'f1': 0.8820039551746869} | {'accuracy': 0.8283796740172579} |
| 0.0358        | 154.0  | 51590  | 1.0985          | {'f1': 0.8846153846153847} | {'accuracy': 0.8331735378715245} |
| 0.0358        | 155.0  | 51925  | 1.2635          | {'f1': 0.8786502271252432} | {'accuracy': 0.8207094918504314} |
| 0.0333        | 156.0  | 52260  | 1.4968          | {'f1': 0.8725674827369743} | {'accuracy': 0.8053691275167785} |
| 0.0473        | 157.0  | 52595  | 1.1381          | {'f1': 0.8814669286182057} | {'accuracy': 0.8264621284755513} |
| 0.0473        | 158.0  | 52930  | 1.4122          | {'f1': 0.8755583918315252} | {'accuracy': 0.8130393096836049} |
| 0.0294        | 159.0  | 53265  | 1.1408          | {'f1': 0.8804702808621816} | {'accuracy': 0.8245445829338447} |
| 0.0396        | 160.0  | 53600  | 1.2296          | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0396        | 161.0  | 53935  | 1.2326          | {'f1': 0.8817065287653523} | {'accuracy': 0.8245445829338447} |
| 0.0376        | 162.0  | 54270  | 1.2225          | {'f1': 0.8793774319066148} | {'accuracy': 0.8216682646212847} |
| 0.0384        | 163.0  | 54605  | 1.3583          | {'f1': 0.8766603415559772} | {'accuracy': 0.8130393096836049} |
| 0.0384        | 164.0  | 54940  | 1.2230          | {'f1': 0.8830829523187459} | {'accuracy': 0.8283796740172579} |
| 0.0344        | 165.0  | 55275  | 1.1266          | {'f1': 0.8874259381171825} | {'accuracy': 0.8360498561840843} |
| 0.0316        | 166.0  | 55610  | 1.1692          | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0316        | 167.0  | 55945  | 1.1212          | {'f1': 0.886259040105194}  | {'accuracy': 0.8341323106423778} |
| 0.0313        | 168.0  | 56280  | 1.1571          | {'f1': 0.8845654993514916} | {'accuracy': 0.8293384467881112} |
| 0.0277        | 169.0  | 56615  | 1.2483          | {'f1': 0.881859264041317}  | {'accuracy': 0.8245445829338447} |
| 0.0277        | 170.0  | 56950  | 1.4021          | {'f1': 0.8757097791798107} | {'accuracy': 0.8111217641418984} |
| 0.0335        | 171.0  | 57285  | 1.4360          | {'f1': 0.8769035532994924} | {'accuracy': 0.8139980824544583} |
| 0.0283        | 172.0  | 57620  | 1.2176          | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0283        | 173.0  | 57955  | 1.2605          | {'f1': 0.8852883992222943} | {'accuracy': 0.8302972195589645} |
| 0.0265        | 174.0  | 58290  | 1.2043          | {'f1': 0.8878748370273793} | {'accuracy': 0.835091083413231}  |
| 0.0346        | 175.0  | 58625  | 1.4101          | {'f1': 0.8780487804878049} | {'accuracy': 0.8178331735378715} |
| 0.0346        | 176.0  | 58960  | 1.3603          | {'f1': 0.878017789072427}  | {'accuracy': 0.8159156279961649} |
| 0.0328        | 177.0  | 59295  | 1.4221          | {'f1': 0.8788265306122449} | {'accuracy': 0.8178331735378715} |
| 0.0415        | 178.0  | 59630  | 1.2330          | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0415        | 179.0  | 59965  | 1.3318          | {'f1': 0.8837209302325582} | {'accuracy': 0.8274209012464045} |
| 0.0273        | 180.0  | 60300  | 1.3779          | {'f1': 0.8800513149454778} | {'accuracy': 0.8207094918504314} |
| 0.0284        | 181.0  | 60635  | 1.3195          | {'f1': 0.8792207792207791} | {'accuracy': 0.8216682646212847} |
| 0.0284        | 182.0  | 60970  | 1.3557          | {'f1': 0.8810289389067525} | {'accuracy': 0.822627037392138}  |
| 0.0306        | 183.0  | 61305  | 1.5289          | {'f1': 0.8743654822335025} | {'accuracy': 0.8101629913710451} |
| 0.027         | 184.0  | 61640  | 1.3811          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.027         | 185.0  | 61975  | 1.4146          | {'f1': 0.8764478764478765} | {'accuracy': 0.8159156279961649} |
| 0.0267        | 186.0  | 62310  | 1.3836          | {'f1': 0.8814432989690721} | {'accuracy': 0.8235858101629914} |
| 0.0226        | 187.0  | 62645  | 1.3915          | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138}  |
| 0.0226        | 188.0  | 62980  | 1.3690          | {'f1': 0.877284595300261}  | {'accuracy': 0.8197507190795782} |
| 0.024         | 189.0  | 63315  | 1.5066          | {'f1': 0.8773946360153257} | {'accuracy': 0.8159156279961649} |
| 0.0275        | 190.0  | 63650  | 1.3999          | {'f1': 0.8808757244043787} | {'accuracy': 0.822627037392138}  |
| 0.0275        | 191.0  | 63985  | 1.3867          | {'f1': 0.8758002560819463} | {'accuracy': 0.8139980824544583} |
| 0.0274        | 192.0  | 64320  | 1.3696          | {'f1': 0.8795878943979395} | {'accuracy': 0.8207094918504314} |
| 0.0274        | 193.0  | 64655  | 1.4807          | {'f1': 0.878017789072427}  | {'accuracy': 0.8159156279961649} |
| 0.0274        | 194.0  | 64990  | 1.2959          | {'f1': 0.88296488946684}   | {'accuracy': 0.8274209012464045} |
| 0.0276        | 195.0  | 65325  | 1.3492          | {'f1': 0.8841423948220065} | {'accuracy': 0.8283796740172579} |
| 0.0238        | 196.0  | 65660  | 1.3131          | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0238        | 197.0  | 65995  | 1.3334          | {'f1': 0.8845654993514916} | {'accuracy': 0.8293384467881112} |
| 0.0216        | 198.0  | 66330  | 1.2434          | {'f1': 0.881399870382372}  | {'accuracy': 0.8245445829338447} |
| 0.0337        | 199.0  | 66665  | 1.3533          | {'f1': 0.879177377892031}  | {'accuracy': 0.8197507190795782} |
| 0.0204        | 200.0  | 67000  | 1.2521          | {'f1': 0.8877216021011162} | {'accuracy': 0.8360498561840843} |
| 0.0204        | 201.0  | 67335  | 1.3449          | {'f1': 0.8873056994818653} | {'accuracy': 0.8331735378715245} |
| 0.0276        | 202.0  | 67670  | 1.3239          | {'f1': 0.88671875}         | {'accuracy': 0.8331735378715245} |
| 0.0224        | 203.0  | 68005  | 1.3420          | {'f1': 0.8841145833333333} | {'accuracy': 0.8293384467881112} |
| 0.0224        | 204.0  | 68340  | 1.3636          | {'f1': 0.8847150259067358} | {'accuracy': 0.8293384467881112} |
| 0.0226        | 205.0  | 68675  | 1.3225          | {'f1': 0.8871493803000652} | {'accuracy': 0.8341323106423778} |
| 0.0233        | 206.0  | 69010  | 1.3964          | {'f1': 0.8820116054158607} | {'accuracy': 0.8245445829338447} |
| 0.0233        | 207.0  | 69345  | 1.4129          | {'f1': 0.8854368932038835} | {'accuracy': 0.8302972195589645} |
| 0.0205        | 208.0  | 69680  | 1.2687          | {'f1': 0.8868660598179455} | {'accuracy': 0.8331735378715245} |
| 0.023         | 209.0  | 70015  | 1.5126          | {'f1': 0.8762626262626263} | {'accuracy': 0.8120805369127517} |
| 0.023         | 210.0  | 70350  | 1.2341          | {'f1': 0.886259040105194}  | {'accuracy': 0.8341323106423778} |
| 0.0204        | 211.0  | 70685  | 1.3646          | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.0219        | 212.0  | 71020  | 1.3274          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0219        | 213.0  | 71355  | 1.3338          | {'f1': 0.8836012861736334} | {'accuracy': 0.8264621284755513} |
| 0.0253        | 214.0  | 71690  | 1.2093          | {'f1': 0.8887425938117183} | {'accuracy': 0.837967401725791}  |
| 0.0231        | 215.0  | 72025  | 1.5109          | {'f1': 0.879746835443038}  | {'accuracy': 0.8178331735378715} |
| 0.0231        | 216.0  | 72360  | 1.2282          | {'f1': 0.8838709677419355} | {'accuracy': 0.8274209012464045} |
| 0.0287        | 217.0  | 72695  | 1.2655          | {'f1': 0.8856956237753103} | {'accuracy': 0.8322147651006712} |
| 0.0192        | 218.0  | 73030  | 1.4157          | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0192        | 219.0  | 73365  | 1.3811          | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0259        | 220.0  | 73700  | 1.3085          | {'f1': 0.8872870249017039} | {'accuracy': 0.835091083413231}  |
| 0.0167        | 221.0  | 74035  | 1.4609          | {'f1': 0.8813341885824246} | {'accuracy': 0.822627037392138}  |
| 0.0167        | 222.0  | 74370  | 1.2850          | {'f1': 0.8858085808580859} | {'accuracy': 0.8341323106423778} |
| 0.0197        | 223.0  | 74705  | 1.4649          | {'f1': 0.8829174664107486} | {'accuracy': 0.8245445829338447} |
| 0.0202        | 224.0  | 75040  | 1.1894          | {'f1': 0.8812877263581489} | {'accuracy': 0.8302972195589645} |
| 0.0202        | 225.0  | 75375  | 1.3179          | {'f1': 0.8798972382787411} | {'accuracy': 0.8207094918504314} |
| 0.0237        | 226.0  | 75710  | 1.3290          | {'f1': 0.8823529411764706} | {'accuracy': 0.8235858101629914} |
| 0.021         | 227.0  | 76045  | 1.4850          | {'f1': 0.8763474952441344} | {'accuracy': 0.8130393096836049} |
| 0.021         | 228.0  | 76380  | 1.4027          | {'f1': 0.8842921784098255} | {'accuracy': 0.8283796740172579} |
| 0.0177        | 229.0  | 76715  | 1.4112          | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0172        | 230.0  | 77050  | 1.3582          | {'f1': 0.88296488946684}   | {'accuracy': 0.8274209012464045} |
| 0.0172        | 231.0  | 77385  | 1.4028          | {'f1': 0.8788265306122449} | {'accuracy': 0.8178331735378715} |
| 0.0195        | 232.0  | 77720  | 1.4775          | {'f1': 0.8825806451612904} | {'accuracy': 0.825503355704698}  |
| 0.0154        | 233.0  | 78055  | 1.6026          | {'f1': 0.8814862267777066} | {'accuracy': 0.822627037392138}  |
| 0.0154        | 234.0  | 78390  | 1.3391          | {'f1': 0.8861092824226466} | {'accuracy': 0.8341323106423778} |
| 0.0193        | 235.0  | 78725  | 1.4912          | {'f1': 0.875724404378622}  | {'accuracy': 0.8149568552253116} |
| 0.0164        | 236.0  | 79060  | 1.4871          | {'f1': 0.881399870382372}  | {'accuracy': 0.8245445829338447} |
| 0.0164        | 237.0  | 79395  | 1.4251          | {'f1': 0.8823529411764706} | {'accuracy': 0.8274209012464045} |
| 0.0187        | 238.0  | 79730  | 1.3903          | {'f1': 0.8833551769331585} | {'accuracy': 0.8293384467881112} |
| 0.0178        | 239.0  | 80065  | 1.3270          | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0178        | 240.0  | 80400  | 1.5414          | {'f1': 0.8796414852752881} | {'accuracy': 0.8197507190795782} |
| 0.0126        | 241.0  | 80735  | 1.4967          | {'f1': 0.8785166240409207} | {'accuracy': 0.8178331735378715} |
| 0.0155        | 242.0  | 81070  | 1.4005          | {'f1': 0.8832020997375328} | {'accuracy': 0.8293384467881112} |
| 0.0155        | 243.0  | 81405  | 1.6056          | {'f1': 0.8766066838046273} | {'accuracy': 0.8159156279961649} |
| 0.0147        | 244.0  | 81740  | 1.6719          | {'f1': 0.8766773162939298} | {'accuracy': 0.8149568552253116} |
| 0.0226        | 245.0  | 82075  | 1.4974          | {'f1': 0.8806161745827985} | {'accuracy': 0.8216682646212847} |
| 0.0226        | 246.0  | 82410  | 1.5430          | {'f1': 0.8795878943979395} | {'accuracy': 0.8207094918504314} |
| 0.0171        | 247.0  | 82745  | 1.3726          | {'f1': 0.8817065287653523} | {'accuracy': 0.8245445829338447} |
| 0.0226        | 248.0  | 83080  | 1.4351          | {'f1': 0.8820116054158607} | {'accuracy': 0.8245445829338447} |
| 0.0226        | 249.0  | 83415  | 1.4010          | {'f1': 0.8841145833333333} | {'accuracy': 0.8293384467881112} |
| 0.0237        | 250.0  | 83750  | 1.4589          | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138}  |
| 0.014         | 251.0  | 84085  | 1.3529          | {'f1': 0.8786127167630058} | {'accuracy': 0.8187919463087249} |
| 0.014         | 252.0  | 84420  | 1.4724          | {'f1': 0.8793873643905552} | {'accuracy': 0.8187919463087249} |
| 0.0203        | 253.0  | 84755  | 1.4837          | {'f1': 0.8796414852752881} | {'accuracy': 0.8197507190795782} |
| 0.0148        | 254.0  | 85090  | 1.8253          | {'f1': 0.8717948717948719} | {'accuracy': 0.8034515819750719} |
| 0.0148        | 255.0  | 85425  | 1.4304          | {'f1': 0.8815104166666666} | {'accuracy': 0.825503355704698}  |
| 0.0149        | 256.0  | 85760  | 1.5129          | {'f1': 0.884887459807074}  | {'accuracy': 0.8283796740172579} |
| 0.0122        | 257.0  | 86095  | 1.5338          | {'f1': 0.8817065287653523} | {'accuracy': 0.8245445829338447} |
| 0.0122        | 258.0  | 86430  | 1.4792          | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.0162        | 259.0  | 86765  | 1.4745          | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698}  |
| 0.0208        | 260.0  | 87100  | 1.4651          | {'f1': 0.8835393623942747} | {'accuracy': 0.8283796740172579} |
| 0.0208        | 261.0  | 87435  | 1.3562          | {'f1': 0.8837820091923834} | {'accuracy': 0.8302972195589645} |
| 0.015         | 262.0  | 87770  | 1.4761          | {'f1': 0.8794871794871796} | {'accuracy': 0.8197507190795782} |
| 0.0143        | 263.0  | 88105  | 1.5374          | {'f1': 0.880722114764668}  | {'accuracy': 0.822627037392138}  |
| 0.0143        | 264.0  | 88440  | 1.3936          | {'f1': 0.8820445609436436} | {'accuracy': 0.8274209012464045} |
| 0.0184        | 265.0  | 88775  | 1.5026          | {'f1': 0.8801546391752577} | {'accuracy': 0.8216682646212847} |
| 0.0161        | 266.0  | 89110  | 1.4669          | {'f1': 0.8784925276153347} | {'accuracy': 0.8207094918504314} |
| 0.0161        | 267.0  | 89445  | 1.5627          | {'f1': 0.8757921419518377} | {'accuracy': 0.8120805369127517} |
| 0.0216        | 268.0  | 89780  | 1.3037          | {'f1': 0.8843626806833115} | {'accuracy': 0.8312559923298178} |
| 0.0137        | 269.0  | 90115  | 1.6394          | {'f1': 0.8765743073047859} | {'accuracy': 0.8120805369127517} |
| 0.0137        | 270.0  | 90450  | 1.4684          | {'f1': 0.881859264041317}  | {'accuracy': 0.8245445829338447} |
| 0.0164        | 271.0  | 90785  | 1.3730          | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0148        | 272.0  | 91120  | 1.5189          | {'f1': 0.8789237668161436} | {'accuracy': 0.8187919463087249} |
| 0.0148        | 273.0  | 91455  | 1.2963          | {'f1': 0.8860589812332439} | {'accuracy': 0.8370086289549377} |
| 0.0131        | 274.0  | 91790  | 1.5332          | {'f1': 0.879177377892031}  | {'accuracy': 0.8197507190795782} |
| 0.0125        | 275.0  | 92125  | 1.5472          | {'f1': 0.8814862267777066} | {'accuracy': 0.822627037392138}  |
| 0.0125        | 276.0  | 92460  | 1.4647          | {'f1': 0.881201044386423}  | {'accuracy': 0.825503355704698}  |
| 0.0153        | 277.0  | 92795  | 1.4001          | {'f1': 0.8852459016393444} | {'accuracy': 0.8322147651006712} |
| 0.0118        | 278.0  | 93130  | 1.5457          | {'f1': 0.8800513149454778} | {'accuracy': 0.8207094918504314} |
| 0.0118        | 279.0  | 93465  | 1.3179          | {'f1': 0.886259040105194}  | {'accuracy': 0.8341323106423778} |
| 0.0167        | 280.0  | 93800  | 1.5365          | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698}  |
| 0.0109        | 281.0  | 94135  | 1.5775          | {'f1': 0.8783610755441742} | {'accuracy': 0.8178331735378715} |
| 0.0109        | 282.0  | 94470  | 1.4469          | {'f1': 0.8855656697009102} | {'accuracy': 0.8312559923298178} |
| 0.0127        | 283.0  | 94805  | 1.5806          | {'f1': 0.8748403575989783} | {'accuracy': 0.8120805369127517} |
| 0.0167        | 284.0  | 95140  | 1.4599          | {'f1': 0.8780487804878049} | {'accuracy': 0.8178331735378715} |
| 0.0167        | 285.0  | 95475  | 1.3209          | {'f1': 0.8858085808580859} | {'accuracy': 0.8341323106423778} |
| 0.019         | 286.0  | 95810  | 1.4650          | {'f1': 0.8772378516624041} | {'accuracy': 0.8159156279961649} |
| 0.0147        | 287.0  | 96145  | 1.5146          | {'f1': 0.8800513149454778} | {'accuracy': 0.8207094918504314} |
| 0.0147        | 288.0  | 96480  | 1.5135          | {'f1': 0.8818998716302953} | {'accuracy': 0.8235858101629914} |
| 0.0144        | 289.0  | 96815  | 1.5631          | {'f1': 0.8807692307692307} | {'accuracy': 0.8216682646212847} |
| 0.012         | 290.0  | 97150  | 1.4717          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.012         | 291.0  | 97485  | 1.4136          | {'f1': 0.8817766165904638} | {'accuracy': 0.8264621284755513} |
| 0.01          | 292.0  | 97820  | 1.6090          | {'f1': 0.8755583918315252} | {'accuracy': 0.8130393096836049} |
| 0.0182        | 293.0  | 98155  | 1.3377          | {'f1': 0.8845144356955381} | {'accuracy': 0.8312559923298178} |
| 0.0182        | 294.0  | 98490  | 1.4140          | {'f1': 0.8867059593975114} | {'accuracy': 0.8341323106423778} |
| 0.0134        | 295.0  | 98825  | 1.5533          | {'f1': 0.8790786948176584} | {'accuracy': 0.8187919463087249} |
| 0.0142        | 296.0  | 99160  | 1.4165          | {'f1': 0.8817345597897503} | {'accuracy': 0.8274209012464045} |
| 0.0142        | 297.0  | 99495  | 1.4488          | {'f1': 0.8802083333333333} | {'accuracy': 0.8235858101629914} |
| 0.013         | 298.0  | 99830  | 1.5705          | {'f1': 0.8777348777348777} | {'accuracy': 0.8178331735378715} |
| 0.0116        | 299.0  | 100165 | 1.4775          | {'f1': 0.8768020969855832} | {'accuracy': 0.8197507190795782} |
| 0.0177        | 300.0  | 100500 | 1.4692          | {'f1': 0.8817065287653523} | {'accuracy': 0.8245445829338447} |
| 0.0177        | 301.0  | 100835 | 1.4669          | {'f1': 0.8828125}          | {'accuracy': 0.8274209012464045} |
| 0.0162        | 302.0  | 101170 | 1.4569          | {'f1': 0.8837820091923834} | {'accuracy': 0.8302972195589645} |
| 0.0154        | 303.0  | 101505 | 1.5704          | {'f1': 0.8745198463508322} | {'accuracy': 0.8120805369127517} |
| 0.0154        | 304.0  | 101840 | 1.5991          | {'f1': 0.8770806658130602} | {'accuracy': 0.8159156279961649} |
| 0.0149        | 305.0  | 102175 | 1.6488          | {'f1': 0.8747616020343293} | {'accuracy': 0.8111217641418984} |
| 0.0157        | 306.0  | 102510 | 1.6070          | {'f1': 0.8697850821744627} | {'accuracy': 0.8024928092042186} |
| 0.0157        | 307.0  | 102845 | 1.4363          | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0109        | 308.0  | 103180 | 1.4503          | {'f1': 0.8785529715762274} | {'accuracy': 0.8197507190795782} |
| 0.0148        | 309.0  | 103515 | 1.5801          | {'f1': 0.869123252858958}  | {'accuracy': 0.8024928092042186} |
| 0.0148        | 310.0  | 103850 | 1.4189          | {'f1': 0.8791639451338994} | {'accuracy': 0.822627037392138}  |
| 0.0153        | 311.0  | 104185 | 1.4453          | {'f1': 0.8752424046541694} | {'accuracy': 0.8149568552253116} |
| 0.0126        | 312.0  | 104520 | 1.6206          | {'f1': 0.8740458015267175} | {'accuracy': 0.8101629913710451} |
| 0.0126        | 313.0  | 104855 | 1.4516          | {'f1': 0.8765352294764059} | {'accuracy': 0.8168744007670182} |
| 0.0165        | 314.0  | 105190 | 1.3816          | {'f1': 0.8804702808621816} | {'accuracy': 0.8245445829338447} |
| 0.0165        | 315.0  | 105525 | 1.3595          | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0165        | 316.0  | 105860 | 1.5510          | {'f1': 0.8782664117272148} | {'accuracy': 0.8168744007670182} |
| 0.0123        | 317.0  | 106195 | 1.3590          | {'f1': 0.882084690553746}  | {'accuracy': 0.8264621284755513} |
| 0.0132        | 318.0  | 106530 | 1.2702          | {'f1': 0.8878627968337731} | {'accuracy': 0.8370086289549377} |
| 0.0132        | 319.0  | 106865 | 1.4241          | {'f1': 0.8840206185567011} | {'accuracy': 0.8274209012464045} |
| 0.0136        | 320.0  | 107200 | 1.3627          | {'f1': 0.8858447488584474} | {'accuracy': 0.8322147651006712} |
| 0.0161        | 321.0  | 107535 | 1.3967          | {'f1': 0.881399870382372}  | {'accuracy': 0.8245445829338447} |
| 0.0161        | 322.0  | 107870 | 1.6389          | {'f1': 0.8734177215189873} | {'accuracy': 0.8082454458293384} |
| 0.0121        | 323.0  | 108205 | 1.3805          | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0085        | 324.0  | 108540 | 1.4762          | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0085        | 325.0  | 108875 | 1.4123          | {'f1': 0.8839634941329856} | {'accuracy': 0.8293384467881112} |
| 0.0111        | 326.0  | 109210 | 1.4110          | {'f1': 0.8810916179337233} | {'accuracy': 0.8245445829338447} |
| 0.009         | 327.0  | 109545 | 1.4012          | {'f1': 0.8872870249017039} | {'accuracy': 0.835091083413231}  |
| 0.009         | 328.0  | 109880 | 1.3711          | {'f1': 0.8807817589576548} | {'accuracy': 0.8245445829338447} |
| 0.0114        | 329.0  | 110215 | 1.4617          | {'f1': 0.8825065274151437} | {'accuracy': 0.8274209012464045} |
| 0.0115        | 330.0  | 110550 | 1.7397          | {'f1': 0.8748435544430538} | {'accuracy': 0.8082454458293384} |
| 0.0115        | 331.0  | 110885 | 1.4449          | {'f1': 0.8847150259067358} | {'accuracy': 0.8293384467881112} |
| 0.0143        | 332.0  | 111220 | 1.4136          | {'f1': 0.88296488946684}   | {'accuracy': 0.8274209012464045} |
| 0.0145        | 333.0  | 111555 | 1.2394          | {'f1': 0.8881535407015221} | {'accuracy': 0.837967401725791}  |
| 0.0145        | 334.0  | 111890 | 1.3683          | {'f1': 0.882084690553746}  | {'accuracy': 0.8264621284755513} |
| 0.0118        | 335.0  | 112225 | 1.5259          | {'f1': 0.8744479495268138} | {'accuracy': 0.8092042186001918} |
| 0.0124        | 336.0  | 112560 | 1.1697          | {'f1': 0.8941018766756033} | {'accuracy': 0.8485139022051774} |
| 0.0124        | 337.0  | 112895 | 1.3062          | {'f1': 0.8845654993514916} | {'accuracy': 0.8293384467881112} |
| 0.0122        | 338.0  | 113230 | 1.2246          | {'f1': 0.888888888888889}  | {'accuracy': 0.8398849472674976} |
| 0.0145        | 339.0  | 113565 | 1.3319          | {'f1': 0.8839050131926122} | {'accuracy': 0.8312559923298178} |
| 0.0145        | 340.0  | 113900 | 1.3524          | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0116        | 341.0  | 114235 | 1.5009          | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0157        | 342.0  | 114570 | 1.3951          | {'f1': 0.8808757244043787} | {'accuracy': 0.822627037392138}  |
| 0.0157        | 343.0  | 114905 | 1.3430          | {'f1': 0.8872870249017039} | {'accuracy': 0.835091083413231}  |
| 0.0066        | 344.0  | 115240 | 1.3878          | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0125        | 345.0  | 115575 | 1.4196          | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0125        | 346.0  | 115910 | 1.5421          | {'f1': 0.8841698841698842} | {'accuracy': 0.8274209012464045} |
| 0.0047        | 347.0  | 116245 | 1.3159          | {'f1': 0.8905206942590119} | {'accuracy': 0.8427612655800575} |
| 0.0115        | 348.0  | 116580 | 1.4889          | {'f1': 0.88296488946684}   | {'accuracy': 0.8274209012464045} |
| 0.0115        | 349.0  | 116915 | 1.4914          | {'f1': 0.8841423948220065} | {'accuracy': 0.8283796740172579} |
| 0.0094        | 350.0  | 117250 | 1.4304          | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138}  |
| 0.0135        | 351.0  | 117585 | 1.5763          | {'f1': 0.8782664117272148} | {'accuracy': 0.8168744007670182} |
| 0.0135        | 352.0  | 117920 | 1.4326          | {'f1': 0.8831835686777921} | {'accuracy': 0.825503355704698}  |
| 0.0159        | 353.0  | 118255 | 1.5209          | {'f1': 0.8804071246819339} | {'accuracy': 0.8197507190795782} |
| 0.0121        | 354.0  | 118590 | 1.4481          | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698}  |
| 0.0121        | 355.0  | 118925 | 1.3729          | {'f1': 0.8883013879709186} | {'accuracy': 0.837967401725791}  |
| 0.0076        | 356.0  | 119260 | 1.4068          | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.011         | 357.0  | 119595 | 1.5804          | {'f1': 0.884318766066838}  | {'accuracy': 0.8274209012464045} |
| 0.011         | 358.0  | 119930 | 1.4468          | {'f1': 0.8861418347430059} | {'accuracy': 0.8322147651006712} |
| 0.0104        | 359.0  | 120265 | 1.5484          | {'f1': 0.8794871794871796} | {'accuracy': 0.8197507190795782} |
| 0.0098        | 360.0  | 120600 | 1.5450          | {'f1': 0.8806161745827985} | {'accuracy': 0.8216682646212847} |
| 0.0098        | 361.0  | 120935 | 1.4119          | {'f1': 0.8855461085676913} | {'accuracy': 0.8322147651006712} |
| 0.01          | 362.0  | 121270 | 1.5413          | {'f1': 0.8811817597944765} | {'accuracy': 0.822627037392138}  |
| 0.0057        | 363.0  | 121605 | 1.4996          | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0057        | 364.0  | 121940 | 1.5304          | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138}  |
| 0.0083        | 365.0  | 122275 | 1.4527          | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0128        | 366.0  | 122610 | 1.3604          | {'f1': 0.8884488448844885} | {'accuracy': 0.837967401725791}  |
| 0.0128        | 367.0  | 122945 | 1.4389          | {'f1': 0.8837209302325582} | {'accuracy': 0.8274209012464045} |
| 0.0108        | 368.0  | 123280 | 1.5141          | {'f1': 0.8828828828828829} | {'accuracy': 0.825503355704698}  |
| 0.0137        | 369.0  | 123615 | 1.3898          | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0137        | 370.0  | 123950 | 1.3869          | {'f1': 0.8839634941329856} | {'accuracy': 0.8293384467881112} |
| 0.0075        | 371.0  | 124285 | 1.3627          | {'f1': 0.8856767411300921} | {'accuracy': 0.8331735378715245} |
| 0.0075        | 372.0  | 124620 | 1.4736          | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0075        | 373.0  | 124955 | 1.4527          | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.0085        | 374.0  | 125290 | 1.5817          | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0079        | 375.0  | 125625 | 1.6168          | {'f1': 0.8815958815958816} | {'accuracy': 0.8235858101629914} |
| 0.0079        | 376.0  | 125960 | 1.5068          | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698}  |
| 0.0083        | 377.0  | 126295 | 1.5055          | {'f1': 0.8832684824902725} | {'accuracy': 0.8274209012464045} |
| 0.0115        | 378.0  | 126630 | 1.5258          | {'f1': 0.8828828828828829} | {'accuracy': 0.825503355704698}  |
| 0.0115        | 379.0  | 126965 | 1.6030          | {'f1': 0.8752399232245682} | {'accuracy': 0.8130393096836049} |
| 0.007         | 380.0  | 127300 | 1.5607          | {'f1': 0.8759590792838876} | {'accuracy': 0.8139980824544583} |
| 0.0115        | 381.0  | 127635 | 1.4875          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0115        | 382.0  | 127970 | 1.4510          | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0086        | 383.0  | 128305 | 1.3703          | {'f1': 0.8815789473684211} | {'accuracy': 0.8274209012464045} |
| 0.0071        | 384.0  | 128640 | 1.4905          | {'f1': 0.8827319587628866} | {'accuracy': 0.825503355704698}  |
| 0.0071        | 385.0  | 128975 | 1.5289          | {'f1': 0.8811817597944765} | {'accuracy': 0.822627037392138}  |
| 0.0066        | 386.0  | 129310 | 1.5711          | {'f1': 0.8780487804878049} | {'accuracy': 0.8178331735378715} |
| 0.0105        | 387.0  | 129645 | 1.6893          | {'f1': 0.8701134930643127} | {'accuracy': 0.8024928092042186} |
| 0.0105        | 388.0  | 129980 | 1.5360          | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.0121        | 389.0  | 130315 | 1.4854          | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0095        | 390.0  | 130650 | 1.4741          | {'f1': 0.881664499349805}  | {'accuracy': 0.825503355704698}  |
| 0.0095        | 391.0  | 130985 | 1.5628          | {'f1': 0.8763613068545804} | {'accuracy': 0.8149568552253116} |
| 0.009         | 392.0  | 131320 | 1.5560          | {'f1': 0.8811817597944765} | {'accuracy': 0.822627037392138}  |
| 0.0079        | 393.0  | 131655 | 1.4950          | {'f1': 0.8825065274151437} | {'accuracy': 0.8274209012464045} |
| 0.0079        | 394.0  | 131990 | 1.5270          | {'f1': 0.8784925276153347} | {'accuracy': 0.8207094918504314} |
| 0.0077        | 395.0  | 132325 | 1.5941          | {'f1': 0.8751608751608753} | {'accuracy': 0.8139980824544583} |
| 0.0097        | 396.0  | 132660 | 1.4690          | {'f1': 0.8795811518324608} | {'accuracy': 0.8235858101629914} |
| 0.0097        | 397.0  | 132995 | 1.4459          | {'f1': 0.8812664907651715} | {'accuracy': 0.8274209012464045} |
| 0.0051        | 398.0  | 133330 | 1.4213          | {'f1': 0.8822751322751322} | {'accuracy': 0.8293384467881112} |
| 0.0079        | 399.0  | 133665 | 1.4610          | {'f1': 0.8840291583830351} | {'accuracy': 0.8322147651006712} |
| 0.0066        | 400.0  | 134000 | 1.5880          | {'f1': 0.8771704180064309} | {'accuracy': 0.8168744007670182} |
| 0.0066        | 401.0  | 134335 | 1.7606          | {'f1': 0.874442319949012}  | {'accuracy': 0.8111217641418984} |
| 0.0139        | 402.0  | 134670 | 1.5978          | {'f1': 0.8766946417043254} | {'accuracy': 0.8168744007670182} |
| 0.0078        | 403.0  | 135005 | 1.4467          | {'f1': 0.8831683168316831} | {'accuracy': 0.8302972195589645} |
| 0.0078        | 404.0  | 135340 | 1.4775          | {'f1': 0.8838752488387525} | {'accuracy': 0.8322147651006712} |
| 0.0069        | 405.0  | 135675 | 1.6677          | {'f1': 0.8795878943979395} | {'accuracy': 0.8207094918504314} |
| 0.0074        | 406.0  | 136010 | 1.6645          | {'f1': 0.8765352294764059} | {'accuracy': 0.8168744007670182} |
| 0.0074        | 407.0  | 136345 | 1.7429          | {'f1': 0.8766946417043254} | {'accuracy': 0.8168744007670182} |
| 0.0103        | 408.0  | 136680 | 1.5847          | {'f1': 0.8773523685918235} | {'accuracy': 0.8187919463087249} |
| 0.0102        | 409.0  | 137015 | 1.5852          | {'f1': 0.8768536428110896} | {'accuracy': 0.8168744007670182} |
| 0.0102        | 410.0  | 137350 | 1.6428          | {'f1': 0.8786127167630058} | {'accuracy': 0.8187919463087249} |
| 0.0061        | 411.0  | 137685 | 1.4875          | {'f1': 0.8840579710144927} | {'accuracy': 0.8312559923298178} |
| 0.0104        | 412.0  | 138020 | 1.5198          | {'f1': 0.8819308545335943} | {'accuracy': 0.8264621284755513} |
| 0.0104        | 413.0  | 138355 | 1.6076          | {'f1': 0.8770122343850613} | {'accuracy': 0.8168744007670182} |
| 0.0086        | 414.0  | 138690 | 1.5185          | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0093        | 415.0  | 139025 | 1.4091          | {'f1': 0.8880053015241882} | {'accuracy': 0.837967401725791}  |
| 0.0093        | 416.0  | 139360 | 1.5178          | {'f1': 0.8819308545335943} | {'accuracy': 0.8264621284755513} |
| 0.0083        | 417.0  | 139695 | 1.5196          | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0058        | 418.0  | 140030 | 1.5603          | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698}  |
| 0.0058        | 419.0  | 140365 | 1.4341          | {'f1': 0.8874172185430463} | {'accuracy': 0.8370086289549377} |
| 0.0092        | 420.0  | 140700 | 1.4512          | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0156        | 421.0  | 141035 | 1.4767          | {'f1': 0.8832684824902725} | {'accuracy': 0.8274209012464045} |
| 0.0156        | 422.0  | 141370 | 1.4180          | {'f1': 0.8833551769331585} | {'accuracy': 0.8293384467881112} |
| 0.0084        | 423.0  | 141705 | 1.4753          | {'f1': 0.8830829523187459} | {'accuracy': 0.8283796740172579} |
| 0.01          | 424.0  | 142040 | 1.4568          | {'f1': 0.8851395197923426} | {'accuracy': 0.8302972195589645} |
| 0.01          | 425.0  | 142375 | 1.4286          | {'f1': 0.8830829523187459} | {'accuracy': 0.8283796740172579} |
| 0.006         | 426.0  | 142710 | 1.4707          | {'f1': 0.8797385620915033} | {'accuracy': 0.8235858101629914} |
| 0.0057        | 427.0  | 143045 | 1.6428          | {'f1': 0.8773946360153257} | {'accuracy': 0.8159156279961649} |
| 0.0057        | 428.0  | 143380 | 1.4762          | {'f1': 0.8832354859752121} | {'accuracy': 0.8283796740172579} |
| 0.008         | 429.0  | 143715 | 1.5212          | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0052        | 430.0  | 144050 | 1.4851          | {'f1': 0.8818897637795275} | {'accuracy': 0.8274209012464045} |
| 0.0052        | 431.0  | 144385 | 1.6304          | {'f1': 0.8774193548387096} | {'accuracy': 0.8178331735378715} |
| 0.0089        | 432.0  | 144720 | 1.4639          | {'f1': 0.8836291913214991} | {'accuracy': 0.8302972195589645} |
| 0.0069        | 433.0  | 145055 | 1.6646          | {'f1': 0.8756410256410255} | {'accuracy': 0.8139980824544583} |
| 0.0069        | 434.0  | 145390 | 1.5078          | {'f1': 0.8816219751471549} | {'accuracy': 0.8264621284755513} |
| 0.0058        | 435.0  | 145725 | 1.6814          | {'f1': 0.874442319949012}  | {'accuracy': 0.8111217641418984} |
| 0.0071        | 436.0  | 146060 | 1.5512          | {'f1': 0.8820445609436436} | {'accuracy': 0.8274209012464045} |
| 0.0071        | 437.0  | 146395 | 1.4773          | {'f1': 0.8827766863130322} | {'accuracy': 0.8283796740172579} |
| 0.0111        | 438.0  | 146730 | 1.5255          | {'f1': 0.8797920727745288} | {'accuracy': 0.822627037392138}  |
| 0.0071        | 439.0  | 147065 | 1.5505          | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0071        | 440.0  | 147400 | 1.4674          | {'f1': 0.8830486202365309} | {'accuracy': 0.8293384467881112} |
| 0.0075        | 441.0  | 147735 | 1.5285          | {'f1': 0.8790058862001309} | {'accuracy': 0.822627037392138}  |
| 0.0096        | 442.0  | 148070 | 1.5072          | {'f1': 0.8832020997375328} | {'accuracy': 0.8293384467881112} |
| 0.0096        | 443.0  | 148405 | 1.4909          | {'f1': 0.8820445609436436} | {'accuracy': 0.8274209012464045} |
| 0.0085        | 444.0  | 148740 | 1.6459          | {'f1': 0.8762755102040816} | {'accuracy': 0.8139980824544583} |
| 0.0127        | 445.0  | 149075 | 1.4276          | {'f1': 0.8818897637795275} | {'accuracy': 0.8274209012464045} |
| 0.0127        | 446.0  | 149410 | 1.5216          | {'f1': 0.8762151652624757} | {'accuracy': 0.8168744007670182} |
| 0.0072        | 447.0  | 149745 | 1.5487          | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.0076        | 448.0  | 150080 | 1.5529          | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.0076        | 449.0  | 150415 | 1.5916          | {'f1': 0.8782051282051283} | {'accuracy': 0.8178331735378715} |
| 0.007         | 450.0  | 150750 | 1.6348          | {'f1': 0.8778920308483289} | {'accuracy': 0.8178331735378715} |
| 0.0072        | 451.0  | 151085 | 1.4377          | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.0072        | 452.0  | 151420 | 1.4952          | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138}  |
| 0.0077        | 453.0  | 151755 | 1.4855          | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.0051        | 454.0  | 152090 | 1.5523          | {'f1': 0.8820116054158607} | {'accuracy': 0.8245445829338447} |
| 0.0051        | 455.0  | 152425 | 1.4575          | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0069        | 456.0  | 152760 | 1.5480          | {'f1': 0.8803088803088803} | {'accuracy': 0.8216682646212847} |
| 0.0082        | 457.0  | 153095 | 1.4397          | {'f1': 0.8883048620236531} | {'accuracy': 0.8370086289549377} |
| 0.0082        | 458.0  | 153430 | 1.5694          | {'f1': 0.880722114764668}  | {'accuracy': 0.822627037392138}  |
| 0.0096        | 459.0  | 153765 | 1.5194          | {'f1': 0.8790058862001309} | {'accuracy': 0.822627037392138}  |
| 0.0097        | 460.0  | 154100 | 1.4786          | {'f1': 0.88296488946684}   | {'accuracy': 0.8274209012464045} |
| 0.0097        | 461.0  | 154435 | 1.4634          | {'f1': 0.8798955613577023} | {'accuracy': 0.8235858101629914} |
| 0.009         | 462.0  | 154770 | 1.7132          | {'f1': 0.8779253636938646} | {'accuracy': 0.8149568552253116} |
| 0.0095        | 463.0  | 155105 | 1.5436          | {'f1': 0.8820512820512821} | {'accuracy': 0.8235858101629914} |
| 0.0095        | 464.0  | 155440 | 1.4633          | {'f1': 0.8842105263157894} | {'accuracy': 0.8312559923298178} |
| 0.0051        | 465.0  | 155775 | 1.5750          | {'f1': 0.8837209302325582} | {'accuracy': 0.8274209012464045} |
| 0.0081        | 466.0  | 156110 | 1.5039          | {'f1': 0.8845144356955381} | {'accuracy': 0.8312559923298178} |
| 0.0081        | 467.0  | 156445 | 1.5045          | {'f1': 0.8828125}          | {'accuracy': 0.8274209012464045} |
| 0.0077        | 468.0  | 156780 | 1.4375          | {'f1': 0.8793671720500988} | {'accuracy': 0.8245445829338447} |
| 0.0057        | 469.0  | 157115 | 1.6179          | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.0057        | 470.0  | 157450 | 1.6056          | {'f1': 0.881664499349805}  | {'accuracy': 0.825503355704698}  |
| 0.0054        | 471.0  | 157785 | 1.6304          | {'f1': 0.8796356538711776} | {'accuracy': 0.822627037392138}  |
| 0.0084        | 472.0  | 158120 | 1.5060          | {'f1': 0.8789297658862876} | {'accuracy': 0.8264621284755513} |
| 0.0084        | 473.0  | 158455 | 1.5820          | {'f1': 0.881399870382372}  | {'accuracy': 0.8245445829338447} |
| 0.0064        | 474.0  | 158790 | 1.5291          | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0091        | 475.0  | 159125 | 1.5703          | {'f1': 0.8784925276153347} | {'accuracy': 0.8207094918504314} |
| 0.0091        | 476.0  | 159460 | 1.4637          | {'f1': 0.882392026578073}  | {'accuracy': 0.8302972195589645} |
| 0.0039        | 477.0  | 159795 | 1.5989          | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0112        | 478.0  | 160130 | 1.5197          | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0112        | 479.0  | 160465 | 1.4421          | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.0092        | 480.0  | 160800 | 1.4686          | {'f1': 0.8852459016393444} | {'accuracy': 0.8322147651006712} |
| 0.0088        | 481.0  | 161135 | 1.4668          | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0088        | 482.0  | 161470 | 1.4334          | {'f1': 0.8832020997375328} | {'accuracy': 0.8293384467881112} |
| 0.0096        | 483.0  | 161805 | 1.5198          | {'f1': 0.8786502271252432} | {'accuracy': 0.8207094918504314} |
| 0.0047        | 484.0  | 162140 | 1.4443          | {'f1': 0.8850726552179656} | {'accuracy': 0.8331735378715245} |
| 0.0047        | 485.0  | 162475 | 1.5450          | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698}  |
| 0.0069        | 486.0  | 162810 | 1.4660          | {'f1': 0.8791639451338994} | {'accuracy': 0.822627037392138}  |
| 0.0067        | 487.0  | 163145 | 1.5695          | {'f1': 0.8842921784098255} | {'accuracy': 0.8283796740172579} |
| 0.0067        | 488.0  | 163480 | 1.5924          | {'f1': 0.8825806451612904} | {'accuracy': 0.825503355704698}  |
| 0.0055        | 489.0  | 163815 | 1.5764          | {'f1': 0.8822768434670116} | {'accuracy': 0.825503355704698}  |
| 0.009         | 490.0  | 164150 | 1.5042          | {'f1': 0.881311475409836}  | {'accuracy': 0.8264621284755513} |
| 0.009         | 491.0  | 164485 | 1.4637          | {'f1': 0.8821593153390389} | {'accuracy': 0.8283796740172579} |
| 0.0086        | 492.0  | 164820 | 1.5421          | {'f1': 0.8810916179337233} | {'accuracy': 0.8245445829338447} |
| 0.0066        | 493.0  | 165155 | 1.4550          | {'f1': 0.8821192052980134} | {'accuracy': 0.8293384467881112} |
| 0.0066        | 494.0  | 165490 | 1.5674          | {'f1': 0.875902823374918}  | {'accuracy': 0.8187919463087249} |
| 0.0049        | 495.0  | 165825 | 1.6806          | {'f1': 0.8776699029126214} | {'accuracy': 0.8187919463087249} |
| 0.0029        | 496.0  | 166160 | 1.7344          | {'f1': 0.8764478764478765} | {'accuracy': 0.8159156279961649} |
| 0.0029        | 497.0  | 166495 | 1.6178          | {'f1': 0.8807339449541284} | {'accuracy': 0.825503355704698}  |
| 0.0064        | 498.0  | 166830 | 1.7900          | {'f1': 0.8757921419518377} | {'accuracy': 0.8120805369127517} |
| 0.008         | 499.0  | 167165 | 1.7277          | {'f1': 0.8774855676715844} | {'accuracy': 0.8168744007670182} |
| 0.0059        | 500.0  | 167500 | 1.6116          | {'f1': 0.8785900783289817} | {'accuracy': 0.8216682646212847} |
| 0.0059        | 501.0  | 167835 | 1.6649          | {'f1': 0.8775773195876289} | {'accuracy': 0.8178331735378715} |
| 0.0075        | 502.0  | 168170 | 1.5932          | {'f1': 0.8761408083441983} | {'accuracy': 0.8178331735378715} |
| 0.0086        | 503.0  | 168505 | 1.5948          | {'f1': 0.8817766165904638} | {'accuracy': 0.8264621284755513} |
| 0.0086        | 504.0  | 168840 | 1.5424          | {'f1': 0.876984126984127}  | {'accuracy': 0.8216682646212847} |
| 0.0063        | 505.0  | 169175 | 1.5306          | {'f1': 0.8818897637795275} | {'accuracy': 0.8274209012464045} |
| 0.0088        | 506.0  | 169510 | 1.5694          | {'f1': 0.881399870382372}  | {'accuracy': 0.8245445829338447} |
| 0.0088        | 507.0  | 169845 | 1.5427          | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0035        | 508.0  | 170180 | 1.6553          | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.007         | 509.0  | 170515 | 1.5628          | {'f1': 0.8791064388961892} | {'accuracy': 0.8235858101629914} |
| 0.007         | 510.0  | 170850 | 1.5664          | {'f1': 0.8793215916503588} | {'accuracy': 0.822627037392138}  |
| 0.0038        | 511.0  | 171185 | 1.5796          | {'f1': 0.8790637191157347} | {'accuracy': 0.8216682646212847} |
| 0.006         | 512.0  | 171520 | 1.5388          | {'f1': 0.8765676567656766} | {'accuracy': 0.8207094918504314} |
| 0.006         | 513.0  | 171855 | 1.6644          | {'f1': 0.8790218790218791} | {'accuracy': 0.8197507190795782} |
| 0.0122        | 514.0  | 172190 | 1.5761          | {'f1': 0.8753280839895013} | {'accuracy': 0.8178331735378715} |
| 0.0076        | 515.0  | 172525 | 1.6813          | {'f1': 0.8817480719794344} | {'accuracy': 0.8235858101629914} |
| 0.0076        | 516.0  | 172860 | 1.5030          | {'f1': 0.8858085808580859} | {'accuracy': 0.8341323106423778} |
| 0.0059        | 517.0  | 173195 | 1.6525          | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.0071        | 518.0  | 173530 | 1.6402          | {'f1': 0.8810916179337233} | {'accuracy': 0.8245445829338447} |
| 0.0071        | 519.0  | 173865 | 1.5771          | {'f1': 0.8836601307189542} | {'accuracy': 0.8293384467881112} |
| 0.0085        | 520.0  | 174200 | 1.6690          | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698}  |
| 0.0083        | 521.0  | 174535 | 1.5547          | {'f1': 0.885396201702685}  | {'accuracy': 0.8322147651006712} |
| 0.0083        | 522.0  | 174870 | 1.4857          | {'f1': 0.8789473684210526} | {'accuracy': 0.8235858101629914} |
| 0.0124        | 523.0  | 175205 | 1.4382          | {'f1': 0.8816219751471549} | {'accuracy': 0.8264621284755513} |
| 0.0076        | 524.0  | 175540 | 1.6573          | {'f1': 0.8775510204081634} | {'accuracy': 0.8159156279961649} |
| 0.0076        | 525.0  | 175875 | 1.5538          | {'f1': 0.8786502271252432} | {'accuracy': 0.8207094918504314} |
| 0.0071        | 526.0  | 176210 | 1.6442          | {'f1': 0.876117496807152}  | {'accuracy': 0.8139980824544583} |
| 0.0067        | 527.0  | 176545 | 1.6500          | {'f1': 0.880722114764668}  | {'accuracy': 0.822627037392138}  |
| 0.0067        | 528.0  | 176880 | 1.4884          | {'f1': 0.8823142669296515} | {'accuracy': 0.8283796740172579} |
| 0.007         | 529.0  | 177215 | 1.4984          | {'f1': 0.8823142669296515} | {'accuracy': 0.8283796740172579} |
| 0.0062        | 530.0  | 177550 | 1.6704          | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0062        | 531.0  | 177885 | 1.6022          | {'f1': 0.8764629388816645} | {'accuracy': 0.8178331735378715} |
| 0.0053        | 532.0  | 178220 | 1.5841          | {'f1': 0.8788075178224238} | {'accuracy': 0.8207094918504314} |
| 0.0071        | 533.0  | 178555 | 1.5986          | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.0071        | 534.0  | 178890 | 1.5788          | {'f1': 0.8770331815224464} | {'accuracy': 0.8187919463087249} |
| 0.0082        | 535.0  | 179225 | 1.5415          | {'f1': 0.8794233289646134} | {'accuracy': 0.8235858101629914} |
| 0.0067        | 536.0  | 179560 | 1.6323          | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.0067        | 537.0  | 179895 | 1.5763          | {'f1': 0.87890625}         | {'accuracy': 0.8216682646212847} |
| 0.007         | 538.0  | 180230 | 1.6408          | {'f1': 0.8778280542986426} | {'accuracy': 0.8187919463087249} |
| 0.0062        | 539.0  | 180565 | 1.5163          | {'f1': 0.8841826604897418} | {'accuracy': 0.8322147651006712} |
| 0.0062        | 540.0  | 180900 | 1.5985          | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.0069        | 541.0  | 181235 | 1.5664          | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138}  |
| 0.0049        | 542.0  | 181570 | 1.7383          | {'f1': 0.875875238701464}  | {'accuracy': 0.8130393096836049} |
| 0.0049        | 543.0  | 181905 | 1.5475          | {'f1': 0.8806262230919765} | {'accuracy': 0.8245445829338447} |
| 0.0051        | 544.0  | 182240 | 1.6891          | {'f1': 0.8818998716302953} | {'accuracy': 0.8235858101629914} |
| 0.0041        | 545.0  | 182575 | 1.5626          | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0041        | 546.0  | 182910 | 1.6650          | {'f1': 0.8801546391752577} | {'accuracy': 0.8216682646212847} |
| 0.0046        | 547.0  | 183245 | 1.6727          | {'f1': 0.880722114764668}  | {'accuracy': 0.822627037392138}  |
| 0.0067        | 548.0  | 183580 | 1.5603          | {'f1': 0.8784313725490197} | {'accuracy': 0.8216682646212847} |
| 0.0067        | 549.0  | 183915 | 1.6787          | {'f1': 0.881859264041317}  | {'accuracy': 0.8245445829338447} |
| 0.0035        | 550.0  | 184250 | 1.5408          | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.0097        | 551.0  | 184585 | 1.5098          | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0097        | 552.0  | 184920 | 1.5416          | {'f1': 0.8806262230919765} | {'accuracy': 0.8245445829338447} |
| 0.0064        | 553.0  | 185255 | 1.7427          | {'f1': 0.8736507936507937} | {'accuracy': 0.8092042186001918} |
| 0.0083        | 554.0  | 185590 | 1.4818          | {'f1': 0.8797385620915033} | {'accuracy': 0.8235858101629914} |
| 0.0083        | 555.0  | 185925 | 1.5257          | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698}  |
| 0.0067        | 556.0  | 186260 | 1.4460          | {'f1': 0.8837820091923834} | {'accuracy': 0.8302972195589645} |
| 0.0083        | 557.0  | 186595 | 1.5127          | {'f1': 0.8786885245901639} | {'accuracy': 0.822627037392138}  |
| 0.0083        | 558.0  | 186930 | 1.6163          | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138}  |
| 0.0047        | 559.0  | 187265 | 1.5008          | {'f1': 0.8865435356200528} | {'accuracy': 0.835091083413231}  |
| 0.0053        | 560.0  | 187600 | 1.5135          | {'f1': 0.8858085808580859} | {'accuracy': 0.8341323106423778} |
| 0.0053        | 561.0  | 187935 | 1.5165          | {'f1': 0.8821989528795812} | {'accuracy': 0.8274209012464045} |
| 0.0087        | 562.0  | 188270 | 1.5569          | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698}  |
| 0.007         | 563.0  | 188605 | 1.4532          | {'f1': 0.8821593153390389} | {'accuracy': 0.8283796740172579} |
| 0.007         | 564.0  | 188940 | 1.4890          | {'f1': 0.8850726552179656} | {'accuracy': 0.8331735378715245} |
| 0.004         | 565.0  | 189275 | 1.5723          | {'f1': 0.8861418347430059} | {'accuracy': 0.8322147651006712} |
| 0.0075        | 566.0  | 189610 | 1.5125          | {'f1': 0.8858267716535433} | {'accuracy': 0.8331735378715245} |
| 0.0075        | 567.0  | 189945 | 1.6625          | {'f1': 0.8802049967969251} | {'accuracy': 0.8207094918504314} |
| 0.0049        | 568.0  | 190280 | 1.5940          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.006         | 569.0  | 190615 | 1.6085          | {'f1': 0.8822768434670116} | {'accuracy': 0.825503355704698}  |
| 0.006         | 570.0  | 190950 | 1.4933          | {'f1': 0.8833551769331585} | {'accuracy': 0.8293384467881112} |
| 0.0047        | 571.0  | 191285 | 1.5427          | {'f1': 0.8878688524590164} | {'accuracy': 0.8360498561840843} |
| 0.0066        | 572.0  | 191620 | 1.6111          | {'f1': 0.8827319587628866} | {'accuracy': 0.825503355704698}  |
| 0.0066        | 573.0  | 191955 | 1.4664          | {'f1': 0.8866930171277998} | {'accuracy': 0.835091083413231}  |
| 0.0069        | 574.0  | 192290 | 1.5405          | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0085        | 575.0  | 192625 | 1.5603          | {'f1': 0.881201044386423}  | {'accuracy': 0.825503355704698}  |
| 0.0085        | 576.0  | 192960 | 1.6009          | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0044        | 577.0  | 193295 | 1.5765          | {'f1': 0.8825065274151437} | {'accuracy': 0.8274209012464045} |
| 0.006         | 578.0  | 193630 | 1.6543          | {'f1': 0.8817065287653523} | {'accuracy': 0.8245445829338447} |
| 0.006         | 579.0  | 193965 | 1.6021          | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138}  |
| 0.0066        | 580.0  | 194300 | 1.6881          | {'f1': 0.8773946360153257} | {'accuracy': 0.8159156279961649} |
| 0.0076        | 581.0  | 194635 | 1.4859          | {'f1': 0.886829913964262}  | {'accuracy': 0.8360498561840843} |
| 0.0076        | 582.0  | 194970 | 1.4807          | {'f1': 0.8836291913214991} | {'accuracy': 0.8302972195589645} |
| 0.0081        | 583.0  | 195305 | 1.5842          | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0088        | 584.0  | 195640 | 1.5026          | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.0088        | 585.0  | 195975 | 1.5329          | {'f1': 0.8872964169381107} | {'accuracy': 0.8341323106423778} |
| 0.0022        | 586.0  | 196310 | 1.7231          | {'f1': 0.8787301587301588} | {'accuracy': 0.8168744007670182} |
| 0.0097        | 587.0  | 196645 | 1.5368          | {'f1': 0.8837209302325582} | {'accuracy': 0.8274209012464045} |
| 0.0097        | 588.0  | 196980 | 1.6242          | {'f1': 0.8833010960670536} | {'accuracy': 0.8264621284755513} |
| 0.0028        | 589.0  | 197315 | 1.5300          | {'f1': 0.8875816993464052} | {'accuracy': 0.835091083413231}  |
| 0.0033        | 590.0  | 197650 | 1.6450          | {'f1': 0.8793324775353017} | {'accuracy': 0.8197507190795782} |
| 0.0033        | 591.0  | 197985 | 1.5715          | {'f1': 0.8793324775353017} | {'accuracy': 0.8197507190795782} |
| 0.0089        | 592.0  | 198320 | 1.5802          | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0024        | 593.0  | 198655 | 1.5816          | {'f1': 0.8771929824561404} | {'accuracy': 0.8187919463087249} |
| 0.0024        | 594.0  | 198990 | 1.5100          | {'f1': 0.8836291913214991} | {'accuracy': 0.8302972195589645} |
| 0.0066        | 595.0  | 199325 | 1.5332          | {'f1': 0.8897637795275591} | {'accuracy': 0.8389261744966443} |
| 0.0025        | 596.0  | 199660 | 1.5607          | {'f1': 0.8856767411300921} | {'accuracy': 0.8331735378715245} |
| 0.0025        | 597.0  | 199995 | 1.6592          | {'f1': 0.8820116054158607} | {'accuracy': 0.8245445829338447} |
| 0.0054        | 598.0  | 200330 | 1.4389          | {'f1': 0.8843626806833115} | {'accuracy': 0.8312559923298178} |
| 0.0085        | 599.0  | 200665 | 1.5571          | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698}  |
| 0.0056        | 600.0  | 201000 | 1.5473          | {'f1': 0.88671875}         | {'accuracy': 0.8331735378715245} |
| 0.0056        | 601.0  | 201335 | 1.5260          | {'f1': 0.8840579710144927} | {'accuracy': 0.8312559923298178} |
| 0.0028        | 602.0  | 201670 | 1.6108          | {'f1': 0.8852672750977836} | {'accuracy': 0.8312559923298178} |
| 0.0043        | 603.0  | 202005 | 1.6212          | {'f1': 0.8830829523187459} | {'accuracy': 0.8283796740172579} |
| 0.0043        | 604.0  | 202340 | 1.5834          | {'f1': 0.8829300196206671} | {'accuracy': 0.8283796740172579} |
| 0.0061        | 605.0  | 202675 | 1.6756          | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698}  |
| 0.003         | 606.0  | 203010 | 1.7325          | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.003         | 607.0  | 203345 | 1.5822          | {'f1': 0.8846153846153847} | {'accuracy': 0.8331735378715245} |
| 0.0041        | 608.0  | 203680 | 1.5585          | {'f1': 0.8856382978723404} | {'accuracy': 0.835091083413231}  |
| 0.0047        | 609.0  | 204015 | 1.7206          | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0047        | 610.0  | 204350 | 1.6442          | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0041        | 611.0  | 204685 | 1.6960          | {'f1': 0.88296488946684}   | {'accuracy': 0.8274209012464045} |
| 0.0052        | 612.0  | 205020 | 1.6414          | {'f1': 0.8836291913214991} | {'accuracy': 0.8302972195589645} |
| 0.0052        | 613.0  | 205355 | 1.5995          | {'f1': 0.8820445609436436} | {'accuracy': 0.8274209012464045} |
| 0.0079        | 614.0  | 205690 | 1.5441          | {'f1': 0.8846657929226737} | {'accuracy': 0.8312559923298178} |
| 0.0067        | 615.0  | 206025 | 1.5942          | {'f1': 0.8852672750977836} | {'accuracy': 0.8312559923298178} |
| 0.0067        | 616.0  | 206360 | 1.7989          | {'f1': 0.8775510204081634} | {'accuracy': 0.8159156279961649} |
| 0.0037        | 617.0  | 206695 | 1.5977          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0084        | 618.0  | 207030 | 1.5557          | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0084        | 619.0  | 207365 | 1.4929          | {'f1': 0.8815789473684211} | {'accuracy': 0.8274209012464045} |
| 0.0079        | 620.0  | 207700 | 1.6609          | {'f1': 0.8778920308483289} | {'accuracy': 0.8178331735378715} |
| 0.006         | 621.0  | 208035 | 1.6334          | {'f1': 0.880103694102398}  | {'accuracy': 0.822627037392138}  |
| 0.006         | 622.0  | 208370 | 1.5635          | {'f1': 0.8832354859752121} | {'accuracy': 0.8283796740172579} |
| 0.0053        | 623.0  | 208705 | 1.5781          | {'f1': 0.8842380640941793} | {'accuracy': 0.8302972195589645} |
| 0.004         | 624.0  | 209040 | 1.6173          | {'f1': 0.8819308545335943} | {'accuracy': 0.8264621284755513} |
| 0.004         | 625.0  | 209375 | 1.4919          | {'f1': 0.8837209302325582} | {'accuracy': 0.8322147651006712} |
| 0.0044        | 626.0  | 209710 | 1.6378          | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.0051        | 627.0  | 210045 | 1.5833          | {'f1': 0.8797385620915033} | {'accuracy': 0.8235858101629914} |
| 0.0051        | 628.0  | 210380 | 1.5721          | {'f1': 0.8818897637795275} | {'accuracy': 0.8274209012464045} |
| 0.0031        | 629.0  | 210715 | 1.6291          | {'f1': 0.8784925276153347} | {'accuracy': 0.8207094918504314} |
| 0.0047        | 630.0  | 211050 | 1.6298          | {'f1': 0.8760545100584036} | {'accuracy': 0.8168744007670182} |
| 0.0047        | 631.0  | 211385 | 1.7736          | {'f1': 0.8745198463508322} | {'accuracy': 0.8120805369127517} |
| 0.003         | 632.0  | 211720 | 1.5395          | {'f1': 0.877284595300261}  | {'accuracy': 0.8197507190795782} |
| 0.0076        | 633.0  | 212055 | 1.6973          | {'f1': 0.876765083440308}  | {'accuracy': 0.8159156279961649} |
| 0.0076        | 634.0  | 212390 | 1.7115          | {'f1': 0.8766773162939298} | {'accuracy': 0.8149568552253116} |
| 0.0056        | 635.0  | 212725 | 1.5547          | {'f1': 0.8761408083441983} | {'accuracy': 0.8178331735378715} |
| 0.0053        | 636.0  | 213060 | 1.6427          | {'f1': 0.874025974025974}  | {'accuracy': 0.8139980824544583} |
| 0.0053        | 637.0  | 213395 | 1.5879          | {'f1': 0.8758169934640523} | {'accuracy': 0.8178331735378715} |
| 0.0057        | 638.0  | 213730 | 1.6224          | {'f1': 0.877124183006536}  | {'accuracy': 0.8197507190795782} |
| 0.0034        | 639.0  | 214065 | 1.6183          | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.0034        | 640.0  | 214400 | 1.5877          | {'f1': 0.8855263157894737} | {'accuracy': 0.8331735378715245} |
| 0.0089        | 641.0  | 214735 | 1.6350          | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.0038        | 642.0  | 215070 | 1.6359          | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.0038        | 643.0  | 215405 | 1.6574          | {'f1': 0.8774193548387096} | {'accuracy': 0.8178331735378715} |
| 0.008         | 644.0  | 215740 | 1.4812          | {'f1': 0.885396201702685}  | {'accuracy': 0.8322147651006712} |
| 0.0077        | 645.0  | 216075 | 1.4037          | {'f1': 0.8903566710700133} | {'accuracy': 0.840843720038351}  |
| 0.0077        | 646.0  | 216410 | 1.4159          | {'f1': 0.8861092824226466} | {'accuracy': 0.8341323106423778} |
| 0.0034        | 647.0  | 216745 | 1.4374          | {'f1': 0.8847682119205298} | {'accuracy': 0.8331735378715245} |
| 0.0051        | 648.0  | 217080 | 1.4659          | {'f1': 0.8880105401844532} | {'accuracy': 0.8370086289549377} |
| 0.0051        | 649.0  | 217415 | 1.5300          | {'f1': 0.8836601307189542} | {'accuracy': 0.8293384467881112} |
| 0.0041        | 650.0  | 217750 | 1.4884          | {'f1': 0.8855263157894737} | {'accuracy': 0.8331735378715245} |
| 0.0048        | 651.0  | 218085 | 1.5347          | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.0048        | 652.0  | 218420 | 1.5155          | {'f1': 0.8861256544502618} | {'accuracy': 0.8331735378715245} |
| 0.0051        | 653.0  | 218755 | 1.5072          | {'f1': 0.8852459016393444} | {'accuracy': 0.8322147651006712} |
| 0.0066        | 654.0  | 219090 | 1.5471          | {'f1': 0.8841423948220065} | {'accuracy': 0.8283796740172579} |
| 0.0066        | 655.0  | 219425 | 1.6866          | {'f1': 0.8786127167630058} | {'accuracy': 0.8187919463087249} |
| 0.0028        | 656.0  | 219760 | 1.5781          | {'f1': 0.8847435043304464} | {'accuracy': 0.8341323106423778} |
| 0.0051        | 657.0  | 220095 | 1.6018          | {'f1': 0.8841423948220065} | {'accuracy': 0.8283796740172579} |
| 0.0051        | 658.0  | 220430 | 1.6007          | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.0034        | 659.0  | 220765 | 1.6493          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0035        | 660.0  | 221100 | 1.6292          | {'f1': 0.8790058862001309} | {'accuracy': 0.822627037392138}  |
| 0.0035        | 661.0  | 221435 | 1.6268          | {'f1': 0.8816920026437541} | {'accuracy': 0.8283796740172579} |
| 0.0043        | 662.0  | 221770 | 1.7202          | {'f1': 0.8806161745827985} | {'accuracy': 0.8216682646212847} |
| 0.0044        | 663.0  | 222105 | 1.7276          | {'f1': 0.8800513149454778} | {'accuracy': 0.8207094918504314} |
| 0.0044        | 664.0  | 222440 | 1.6725          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.0045        | 665.0  | 222775 | 1.5903          | {'f1': 0.8805280528052805} | {'accuracy': 0.8264621284755513} |
| 0.0033        | 666.0  | 223110 | 1.6448          | {'f1': 0.881311475409836}  | {'accuracy': 0.8264621284755513} |
| 0.0033        | 667.0  | 223445 | 1.6078          | {'f1': 0.8812664907651715} | {'accuracy': 0.8274209012464045} |
| 0.0052        | 668.0  | 223780 | 1.8698          | {'f1': 0.8759493670886076} | {'accuracy': 0.8120805369127517} |
| 0.0056        | 669.0  | 224115 | 1.6594          | {'f1': 0.8777633289986997} | {'accuracy': 0.8197507190795782} |
| 0.0056        | 670.0  | 224450 | 1.7666          | {'f1': 0.8767471410419314} | {'accuracy': 0.8139980824544583} |
| 0.0048        | 671.0  | 224785 | 1.5940          | {'f1': 0.883289124668435}  | {'accuracy': 0.8312559923298178} |
| 0.0044        | 672.0  | 225120 | 1.6732          | {'f1': 0.881664499349805}  | {'accuracy': 0.825503355704698}  |
| 0.0044        | 673.0  | 225455 | 1.5838          | {'f1': 0.88433575677462}   | {'accuracy': 0.8322147651006712} |
| 0.0037        | 674.0  | 225790 | 1.7817          | {'f1': 0.8753180661577609} | {'accuracy': 0.8120805369127517} |
| 0.0058        | 675.0  | 226125 | 1.6803          | {'f1': 0.8810289389067525} | {'accuracy': 0.822627037392138}  |
| 0.0058        | 676.0  | 226460 | 1.6020          | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0046        | 677.0  | 226795 | 1.6947          | {'f1': 0.8815958815958816} | {'accuracy': 0.8235858101629914} |
| 0.0015        | 678.0  | 227130 | 1.6027          | {'f1': 0.8814229249011858} | {'accuracy': 0.8274209012464045} |
| 0.0015        | 679.0  | 227465 | 1.6842          | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0035        | 680.0  | 227800 | 1.7749          | {'f1': 0.8734015345268541} | {'accuracy': 0.8101629913710451} |
| 0.0071        | 681.0  | 228135 | 1.6325          | {'f1': 0.8792650918635171} | {'accuracy': 0.8235858101629914} |
| 0.0071        | 682.0  | 228470 | 1.6693          | {'f1': 0.8817766165904638} | {'accuracy': 0.8264621284755513} |
| 0.0031        | 683.0  | 228805 | 1.7287          | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0051        | 684.0  | 229140 | 1.6958          | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0051        | 685.0  | 229475 | 1.7540          | {'f1': 0.8760436737315349} | {'accuracy': 0.8149568552253116} |
| 0.0033        | 686.0  | 229810 | 1.6853          | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.009         | 687.0  | 230145 | 1.5281          | {'f1': 0.8827037773359842} | {'accuracy': 0.8302972195589645} |
| 0.009         | 688.0  | 230480 | 1.6425          | {'f1': 0.8807817589576548} | {'accuracy': 0.8245445829338447} |
| 0.005         | 689.0  | 230815 | 1.6769          | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0035        | 690.0  | 231150 | 1.7624          | {'f1': 0.8817065287653523} | {'accuracy': 0.8245445829338447} |
| 0.0035        | 691.0  | 231485 | 1.7393          | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0048        | 692.0  | 231820 | 1.7047          | {'f1': 0.8832354859752121} | {'accuracy': 0.8283796740172579} |
| 0.0027        | 693.0  | 232155 | 1.6658          | {'f1': 0.8846657929226737} | {'accuracy': 0.8312559923298178} |
| 0.0027        | 694.0  | 232490 | 1.8153          | {'f1': 0.8800513149454778} | {'accuracy': 0.8207094918504314} |
| 0.0027        | 695.0  | 232825 | 1.6971          | {'f1': 0.8807817589576548} | {'accuracy': 0.8245445829338447} |
| 0.006         | 696.0  | 233160 | 1.7047          | {'f1': 0.8825806451612904} | {'accuracy': 0.825503355704698}  |
| 0.006         | 697.0  | 233495 | 1.7104          | {'f1': 0.8778280542986426} | {'accuracy': 0.8187919463087249} |
| 0.0051        | 698.0  | 233830 | 1.7271          | {'f1': 0.8773281952472703} | {'accuracy': 0.8168744007670182} |
| 0.0058        | 699.0  | 234165 | 1.5991          | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0041        | 700.0  | 234500 | 1.5880          | {'f1': 0.8871287128712871} | {'accuracy': 0.8360498561840843} |
| 0.0041        | 701.0  | 234835 | 1.6696          | {'f1': 0.8830829523187459} | {'accuracy': 0.8283796740172579} |
| 0.0054        | 702.0  | 235170 | 1.5805          | {'f1': 0.8834759710335748} | {'accuracy': 0.8302972195589645} |
| 0.0048        | 703.0  | 235505 | 1.7371          | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138}  |
| 0.0048        | 704.0  | 235840 | 1.6335          | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.008         | 705.0  | 236175 | 1.5429          | {'f1': 0.8880157170923381} | {'accuracy': 0.8360498561840843} |
| 0.0072        | 706.0  | 236510 | 1.5920          | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138}  |
| 0.0072        | 707.0  | 236845 | 1.6666          | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.005         | 708.0  | 237180 | 1.5701          | {'f1': 0.8830829523187459} | {'accuracy': 0.8283796740172579} |
| 0.0024        | 709.0  | 237515 | 1.5638          | {'f1': 0.8824688115561392} | {'accuracy': 0.8283796740172579} |
| 0.0024        | 710.0  | 237850 | 1.6545          | {'f1': 0.8796356538711776} | {'accuracy': 0.822627037392138}  |
| 0.0022        | 711.0  | 238185 | 1.5872          | {'f1': 0.8821593153390389} | {'accuracy': 0.8283796740172579} |
| 0.0063        | 712.0  | 238520 | 1.4602          | {'f1': 0.8839704896042924} | {'accuracy': 0.8341323106423778} |
| 0.0063        | 713.0  | 238855 | 1.7557          | {'f1': 0.8793324775353017} | {'accuracy': 0.8197507190795782} |
| 0.0051        | 714.0  | 239190 | 1.5571          | {'f1': 0.8828125}          | {'accuracy': 0.8274209012464045} |
| 0.0071        | 715.0  | 239525 | 1.5071          | {'f1': 0.8847926267281107} | {'accuracy': 0.8322147651006712} |
| 0.0071        | 716.0  | 239860 | 1.5371          | {'f1': 0.8842380640941793} | {'accuracy': 0.8302972195589645} |
| 0.0032        | 717.0  | 240195 | 1.6400          | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0039        | 718.0  | 240530 | 1.5848          | {'f1': 0.8836601307189542} | {'accuracy': 0.8293384467881112} |
| 0.0039        | 719.0  | 240865 | 1.5865          | {'f1': 0.8877216021011162} | {'accuracy': 0.8360498561840843} |
| 0.0027        | 720.0  | 241200 | 1.5462          | {'f1': 0.8862115127175368} | {'accuracy': 0.8370086289549377} |
| 0.0039        | 721.0  | 241535 | 1.6690          | {'f1': 0.8858267716535433} | {'accuracy': 0.8331735378715245} |
| 0.0039        | 722.0  | 241870 | 1.7565          | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.0024        | 723.0  | 242205 | 1.6705          | {'f1': 0.8844884488448844} | {'accuracy': 0.8322147651006712} |
| 0.0058        | 724.0  | 242540 | 1.7562          | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138}  |
| 0.0058        | 725.0  | 242875 | 1.7151          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0046        | 726.0  | 243210 | 1.7525          | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.003         | 727.0  | 243545 | 1.7908          | {'f1': 0.8814432989690721} | {'accuracy': 0.8235858101629914} |
| 0.003         | 728.0  | 243880 | 1.7585          | {'f1': 0.8798972382787411} | {'accuracy': 0.8207094918504314} |
| 0.0078        | 729.0  | 244215 | 1.6461          | {'f1': 0.8808900523560209} | {'accuracy': 0.825503355704698}  |
| 0.0055        | 730.0  | 244550 | 1.8172          | {'f1': 0.8753213367609254} | {'accuracy': 0.8139980824544583} |
| 0.0055        | 731.0  | 244885 | 1.7606          | {'f1': 0.8777991042866283} | {'accuracy': 0.8168744007670182} |
| 0.0069        | 732.0  | 245220 | 1.6387          | {'f1': 0.877284595300261}  | {'accuracy': 0.8197507190795782} |
| 0.0035        | 733.0  | 245555 | 1.6955          | {'f1': 0.8787483702737942} | {'accuracy': 0.8216682646212847} |
| 0.0035        | 734.0  | 245890 | 1.5542          | {'f1': 0.8819628647214854} | {'accuracy': 0.8293384467881112} |
| 0.0062        | 735.0  | 246225 | 1.5837          | {'f1': 0.8787483702737942} | {'accuracy': 0.8216682646212847} |
| 0.0042        | 736.0  | 246560 | 1.5991          | {'f1': 0.881201044386423}  | {'accuracy': 0.825503355704698}  |
| 0.0042        | 737.0  | 246895 | 1.5077          | {'f1': 0.8878566688785668} | {'accuracy': 0.837967401725791}  |
| 0.0051        | 738.0  | 247230 | 1.6261          | {'f1': 0.8832354859752121} | {'accuracy': 0.8283796740172579} |
| 0.0049        | 739.0  | 247565 | 1.7079          | {'f1': 0.8785529715762274} | {'accuracy': 0.8197507190795782} |
| 0.0049        | 740.0  | 247900 | 1.5703          | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.0071        | 741.0  | 248235 | 1.5480          | {'f1': 0.8817766165904638} | {'accuracy': 0.8264621284755513} |
| 0.0043        | 742.0  | 248570 | 1.5021          | {'f1': 0.8823529411764706} | {'accuracy': 0.8274209012464045} |
| 0.0043        | 743.0  | 248905 | 1.6375          | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0023        | 744.0  | 249240 | 1.4291          | {'f1': 0.8847926267281107} | {'accuracy': 0.8322147651006712} |
| 0.0066        | 745.0  | 249575 | 1.5330          | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698}  |
| 0.0066        | 746.0  | 249910 | 1.4237          | {'f1': 0.8823529411764706} | {'accuracy': 0.8274209012464045} |
| 0.0067        | 747.0  | 250245 | 1.3874          | {'f1': 0.883289124668435}  | {'accuracy': 0.8312559923298178} |
| 0.0034        | 748.0  | 250580 | 1.4532          | {'f1': 0.8837209302325582} | {'accuracy': 0.8322147651006712} |
| 0.0034        | 749.0  | 250915 | 1.4834          | {'f1': 0.881201044386423}  | {'accuracy': 0.825503355704698}  |
| 0.0034        | 750.0  | 251250 | 1.5196          | {'f1': 0.8796356538711776} | {'accuracy': 0.822627037392138}  |
| 0.0034        | 751.0  | 251585 | 1.5726          | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698}  |
| 0.0034        | 752.0  | 251920 | 1.5491          | {'f1': 0.8801571709233792} | {'accuracy': 0.8245445829338447} |
| 0.0042        | 753.0  | 252255 | 1.4986          | {'f1': 0.8792079207920793} | {'accuracy': 0.8245445829338447} |
| 0.0045        | 754.0  | 252590 | 1.4673          | {'f1': 0.8822751322751322} | {'accuracy': 0.8293384467881112} |
| 0.0045        | 755.0  | 252925 | 1.5067          | {'f1': 0.8797886393659181} | {'accuracy': 0.825503355704698}  |
| 0.0058        | 756.0  | 253260 | 1.6951          | {'f1': 0.8775773195876289} | {'accuracy': 0.8178331735378715} |
| 0.0052        | 757.0  | 253595 | 1.5915          | {'f1': 0.8787483702737942} | {'accuracy': 0.8216682646212847} |
| 0.0052        | 758.0  | 253930 | 1.5778          | {'f1': 0.8820039551746869} | {'accuracy': 0.8283796740172579} |
| 0.0032        | 759.0  | 254265 | 1.6840          | {'f1': 0.8763754045307444} | {'accuracy': 0.8168744007670182} |
| 0.0058        | 760.0  | 254600 | 1.5173          | {'f1': 0.881491344873502}  | {'accuracy': 0.8293384467881112} |
| 0.0058        | 761.0  | 254935 | 1.5686          | {'f1': 0.8847926267281107} | {'accuracy': 0.8322147651006712} |
| 0.0033        | 762.0  | 255270 | 1.7293          | {'f1': 0.8760436737315349} | {'accuracy': 0.8149568552253116} |
| 0.0031        | 763.0  | 255605 | 1.7252          | {'f1': 0.876943005181347}  | {'accuracy': 0.8178331735378715} |
| 0.0031        | 764.0  | 255940 | 1.7134          | {'f1': 0.8782383419689119} | {'accuracy': 0.8197507190795782} |
| 0.005         | 765.0  | 256275 | 1.6881          | {'f1': 0.8771021992238034} | {'accuracy': 0.8178331735378715} |
| 0.0037        | 766.0  | 256610 | 1.5824          | {'f1': 0.8814669286182057} | {'accuracy': 0.8264621284755513} |
| 0.0037        | 767.0  | 256945 | 1.6678          | {'f1': 0.8792207792207791} | {'accuracy': 0.8216682646212847} |
| 0.0032        | 768.0  | 257280 | 1.6520          | {'f1': 0.8811369509043928} | {'accuracy': 0.8235858101629914} |
| 0.0033        | 769.0  | 257615 | 1.5788          | {'f1': 0.8794788273615636} | {'accuracy': 0.822627037392138}  |
| 0.0033        | 770.0  | 257950 | 1.7073          | {'f1': 0.8781431334622825} | {'accuracy': 0.8187919463087249} |
| 0.0064        | 771.0  | 258285 | 1.5705          | {'f1': 0.8825857519788918} | {'accuracy': 0.8293384467881112} |
| 0.0034        | 772.0  | 258620 | 1.7071          | {'f1': 0.8765352294764059} | {'accuracy': 0.8168744007670182} |
| 0.0034        | 773.0  | 258955 | 1.7116          | {'f1': 0.8775773195876289} | {'accuracy': 0.8178331735378715} |
| 0.0043        | 774.0  | 259290 | 1.6249          | {'f1': 0.877124183006536}  | {'accuracy': 0.8197507190795782} |
| 0.0055        | 775.0  | 259625 | 1.5984          | {'f1': 0.8785900783289817} | {'accuracy': 0.8216682646212847} |
| 0.0055        | 776.0  | 259960 | 1.5935          | {'f1': 0.8800521512385918} | {'accuracy': 0.8235858101629914} |
| 0.0037        | 777.0  | 260295 | 1.5598          | {'f1': 0.8782093482554312} | {'accuracy': 0.822627037392138}  |
| 0.0049        | 778.0  | 260630 | 1.5901          | {'f1': 0.8777923784494087} | {'accuracy': 0.8216682646212847} |
| 0.0049        | 779.0  | 260965 | 1.6492          | {'f1': 0.8767123287671234} | {'accuracy': 0.8187919463087249} |
| 0.0026        | 780.0  | 261300 | 1.7694          | {'f1': 0.8749198203976909} | {'accuracy': 0.8130393096836049} |
| 0.0054        | 781.0  | 261635 | 1.7149          | {'f1': 0.8748387096774194} | {'accuracy': 0.8139980824544583} |
| 0.0054        | 782.0  | 261970 | 1.6788          | {'f1': 0.875}              | {'accuracy': 0.8159156279961649} |
| 0.0033        | 783.0  | 262305 | 1.7130          | {'f1': 0.8762151652624757} | {'accuracy': 0.8168744007670182} |
| 0.006         | 784.0  | 262640 | 1.5759          | {'f1': 0.8802117802779617} | {'accuracy': 0.8264621284755513} |
| 0.006         | 785.0  | 262975 | 1.6508          | {'f1': 0.8777633289986997} | {'accuracy': 0.8197507190795782} |
| 0.0031        | 786.0  | 263310 | 1.7313          | {'f1': 0.8755641521598968} | {'accuracy': 0.8149568552253116} |
| 0.0042        | 787.0  | 263645 | 1.6428          | {'f1': 0.8792650918635171} | {'accuracy': 0.8235858101629914} |
| 0.0042        | 788.0  | 263980 | 1.7532          | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.0036        | 789.0  | 264315 | 1.7189          | {'f1': 0.8782383419689119} | {'accuracy': 0.8197507190795782} |
| 0.0048        | 790.0  | 264650 | 1.7035          | {'f1': 0.876943005181347}  | {'accuracy': 0.8178331735378715} |
| 0.0048        | 791.0  | 264985 | 1.6092          | {'f1': 0.8788881535407015} | {'accuracy': 0.8245445829338447} |
| 0.0045        | 792.0  | 265320 | 1.6136          | {'f1': 0.8791500664010624} | {'accuracy': 0.825503355704698}  |
| 0.0032        | 793.0  | 265655 | 1.6764          | {'f1': 0.8794233289646134} | {'accuracy': 0.8235858101629914} |
| 0.0032        | 794.0  | 265990 | 1.8102          | {'f1': 0.8770122343850613} | {'accuracy': 0.8168744007670182} |
| 0.0048        | 795.0  | 266325 | 1.7445          | {'f1': 0.8776041666666666} | {'accuracy': 0.8197507190795782} |
| 0.004         | 796.0  | 266660 | 1.7284          | {'f1': 0.8762278978388998} | {'accuracy': 0.8187919463087249} |
| 0.004         | 797.0  | 266995 | 1.8343          | {'f1': 0.8733850129198967} | {'accuracy': 0.8120805369127517} |
| 0.0039        | 798.0  | 267330 | 1.8077          | {'f1': 0.8711974110032363} | {'accuracy': 0.8092042186001918} |
| 0.0026        | 799.0  | 267665 | 1.8041          | {'f1': 0.8721609344581441} | {'accuracy': 0.8111217641418984} |
| 0.0032        | 800.0  | 268000 | 1.7025          | {'f1': 0.8786885245901639} | {'accuracy': 0.822627037392138}  |
| 0.0032        | 801.0  | 268335 | 1.7495          | {'f1': 0.8763020833333333} | {'accuracy': 0.8178331735378715} |
| 0.0058        | 802.0  | 268670 | 1.7034          | {'f1': 0.8788474132285528} | {'accuracy': 0.822627037392138}  |
| 0.0028        | 803.0  | 269005 | 1.7309          | {'f1': 0.8806262230919765} | {'accuracy': 0.8245445829338447} |
| 0.0028        | 804.0  | 269340 | 1.7222          | {'f1': 0.8797920727745288} | {'accuracy': 0.822627037392138}  |
| 0.0033        | 805.0  | 269675 | 1.6105          | {'f1': 0.8781127129750983} | {'accuracy': 0.8216682646212847} |
| 0.0043        | 806.0  | 270010 | 1.6209          | {'f1': 0.8791064388961892} | {'accuracy': 0.8235858101629914} |
| 0.0043        | 807.0  | 270345 | 1.7457          | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.0035        | 808.0  | 270680 | 1.8058          | {'f1': 0.8761290322580645} | {'accuracy': 0.8159156279961649} |
| 0.0027        | 809.0  | 271015 | 1.8286          | {'f1': 0.8741976893453146} | {'accuracy': 0.8120805369127517} |
| 0.0027        | 810.0  | 271350 | 1.7140          | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.0029        | 811.0  | 271685 | 1.6997          | {'f1': 0.8820445609436436} | {'accuracy': 0.8274209012464045} |
| 0.004         | 812.0  | 272020 | 1.7859          | {'f1': 0.8779857972885732} | {'accuracy': 0.8187919463087249} |
| 0.004         | 813.0  | 272355 | 1.8436          | {'f1': 0.8741976893453146} | {'accuracy': 0.8120805369127517} |
| 0.0031        | 814.0  | 272690 | 1.7848          | {'f1': 0.8745148771021992} | {'accuracy': 0.8139980824544583} |
| 0.0043        | 815.0  | 273025 | 1.8718          | {'f1': 0.872680742162508}  | {'accuracy': 0.8092042186001918} |
| 0.0043        | 816.0  | 273360 | 1.6951          | {'f1': 0.8808900523560209} | {'accuracy': 0.825503355704698}  |
| 0.0034        | 817.0  | 273695 | 1.7584          | {'f1': 0.880103694102398}  | {'accuracy': 0.822627037392138}  |
| 0.003         | 818.0  | 274030 | 1.6783          | {'f1': 0.8821192052980134} | {'accuracy': 0.8293384467881112} |
| 0.003         | 819.0  | 274365 | 1.7632          | {'f1': 0.8792207792207791} | {'accuracy': 0.8216682646212847} |
| 0.0028        | 820.0  | 274700 | 1.6914          | {'f1': 0.8820039551746869} | {'accuracy': 0.8283796740172579} |
| 0.0064        | 821.0  | 275035 | 1.7082          | {'f1': 0.8768729641693811} | {'accuracy': 0.8187919463087249} |
| 0.0064        | 822.0  | 275370 | 1.6736          | {'f1': 0.88}               | {'accuracy': 0.8245445829338447} |
| 0.004         | 823.0  | 275705 | 1.6481          | {'f1': 0.880842659644503}  | {'accuracy': 0.8264621284755513} |
| 0.0041        | 824.0  | 276040 | 1.6841          | {'f1': 0.8806262230919765} | {'accuracy': 0.8245445829338447} |
| 0.0041        | 825.0  | 276375 | 1.7816          | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.0028        | 826.0  | 276710 | 1.6381          | {'f1': 0.8811556139198949} | {'accuracy': 0.8264621284755513} |
| 0.0046        | 827.0  | 277045 | 1.6258          | {'f1': 0.8803139306736429} | {'accuracy': 0.8245445829338447} |
| 0.0046        | 828.0  | 277380 | 1.5245          | {'f1': 0.8837516512549538} | {'accuracy': 0.8312559923298178} |
| 0.0064        | 829.0  | 277715 | 1.6464          | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0013        | 830.0  | 278050 | 1.5779          | {'f1': 0.8834437086092717} | {'accuracy': 0.8312559923298178} |
| 0.0013        | 831.0  | 278385 | 1.7291          | {'f1': 0.8779857972885732} | {'accuracy': 0.8187919463087249} |
| 0.0035        | 832.0  | 278720 | 1.6297          | {'f1': 0.8817345597897503} | {'accuracy': 0.8274209012464045} |
| 0.0036        | 833.0  | 279055 | 1.5615          | {'f1': 0.8860927152317881} | {'accuracy': 0.835091083413231}  |
| 0.0036        | 834.0  | 279390 | 1.7254          | {'f1': 0.8763613068545804} | {'accuracy': 0.8149568552253116} |
| 0.0066        | 835.0  | 279725 | 1.5162          | {'f1': 0.8843085106382979} | {'accuracy': 0.8331735378715245} |
| 0.0025        | 836.0  | 280060 | 1.5393          | {'f1': 0.8847682119205298} | {'accuracy': 0.8331735378715245} |
| 0.0025        | 837.0  | 280395 | 1.6011          | {'f1': 0.8825857519788918} | {'accuracy': 0.8293384467881112} |
| 0.0047        | 838.0  | 280730 | 1.7815          | {'f1': 0.8778920308483289} | {'accuracy': 0.8178331735378715} |
| 0.0069        | 839.0  | 281065 | 1.6868          | {'f1': 0.8778280542986426} | {'accuracy': 0.8187919463087249} |
| 0.0069        | 840.0  | 281400 | 1.6110          | {'f1': 0.8790058862001309} | {'accuracy': 0.822627037392138}  |
| 0.0057        | 841.0  | 281735 | 1.7266          | {'f1': 0.8741123305358297} | {'accuracy': 0.8130393096836049} |
| 0.0023        | 842.0  | 282070 | 1.5071          | {'f1': 0.8852023888520238} | {'accuracy': 0.8341323106423778} |
| 0.0023        | 843.0  | 282405 | 1.6223          | {'f1': 0.8801571709233792} | {'accuracy': 0.8245445829338447} |
| 0.0032        | 844.0  | 282740 | 1.5283          | {'f1': 0.8787878787878788} | {'accuracy': 0.8235858101629914} |
| 0.0065        | 845.0  | 283075 | 1.6950          | {'f1': 0.8765352294764059} | {'accuracy': 0.8168744007670182} |
| 0.0065        | 846.0  | 283410 | 1.5313          | {'f1': 0.8794788273615636} | {'accuracy': 0.822627037392138}  |
| 0.0059        | 847.0  | 283745 | 1.5719          | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698}  |
| 0.0023        | 848.0  | 284080 | 1.5461          | {'f1': 0.8833551769331585} | {'accuracy': 0.8293384467881112} |
| 0.0023        | 849.0  | 284415 | 1.6004          | {'f1': 0.88296488946684}   | {'accuracy': 0.8274209012464045} |
| 0.0026        | 850.0  | 284750 | 1.6252          | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.0073        | 851.0  | 285085 | 1.5237          | {'f1': 0.8790058862001309} | {'accuracy': 0.822627037392138}  |
| 0.0073        | 852.0  | 285420 | 1.5458          | {'f1': 0.879526003949967}  | {'accuracy': 0.8245445829338447} |
| 0.0037        | 853.0  | 285755 | 1.5439          | {'f1': 0.8796844181459565} | {'accuracy': 0.8245445829338447} |
| 0.0028        | 854.0  | 286090 | 1.6754          | {'f1': 0.8766946417043254} | {'accuracy': 0.8168744007670182} |
| 0.0028        | 855.0  | 286425 | 1.5802          | {'f1': 0.8765676567656766} | {'accuracy': 0.8207094918504314} |
| 0.0024        | 856.0  | 286760 | 1.5366          | {'f1': 0.879526003949967}  | {'accuracy': 0.8245445829338447} |
| 0.0082        | 857.0  | 287095 | 1.5267          | {'f1': 0.8787276341948311} | {'accuracy': 0.8245445829338447} |
| 0.0082        | 858.0  | 287430 | 1.6491          | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0034        | 859.0  | 287765 | 1.5808          | {'f1': 0.8795811518324608} | {'accuracy': 0.8235858101629914} |
| 0.0062        | 860.0  | 288100 | 1.5517          | {'f1': 0.8780169602087411} | {'accuracy': 0.8207094918504314} |
| 0.0062        | 861.0  | 288435 | 1.5949          | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.0018        | 862.0  | 288770 | 1.5440          | {'f1': 0.8823529411764706} | {'accuracy': 0.8274209012464045} |
| 0.0049        | 863.0  | 289105 | 1.4895          | {'f1': 0.8811556139198949} | {'accuracy': 0.8264621284755513} |
| 0.0049        | 864.0  | 289440 | 1.5049          | {'f1': 0.8863936591809775} | {'accuracy': 0.835091083413231}  |
| 0.0026        | 865.0  | 289775 | 1.5587          | {'f1': 0.8808900523560209} | {'accuracy': 0.825503355704698}  |
| 0.0039        | 866.0  | 290110 | 1.5543          | {'f1': 0.8818897637795275} | {'accuracy': 0.8274209012464045} |
| 0.0039        | 867.0  | 290445 | 1.6776          | {'f1': 0.8785529715762274} | {'accuracy': 0.8197507190795782} |
| 0.0038        | 868.0  | 290780 | 1.5554          | {'f1': 0.8816920026437541} | {'accuracy': 0.8283796740172579} |
| 0.0044        | 869.0  | 291115 | 1.6552          | {'f1': 0.8793774319066148} | {'accuracy': 0.8216682646212847} |
| 0.0044        | 870.0  | 291450 | 1.6860          | {'f1': 0.8754034861200773} | {'accuracy': 0.8149568552253116} |
| 0.0048        | 871.0  | 291785 | 1.5888          | {'f1': 0.8773770491803279} | {'accuracy': 0.8207094918504314} |
| 0.005         | 872.0  | 292120 | 1.7552          | {'f1': 0.8716956802063185} | {'accuracy': 0.8092042186001918} |
| 0.005         | 873.0  | 292455 | 1.6055          | {'f1': 0.8782093482554312} | {'accuracy': 0.822627037392138}  |
| 0.0017        | 874.0  | 292790 | 1.6851          | {'f1': 0.8757319453480807} | {'accuracy': 0.8168744007670182} |
| 0.0019        | 875.0  | 293125 | 1.5263          | {'f1': 0.8859239492995331} | {'accuracy': 0.8360498561840843} |
| 0.0019        | 876.0  | 293460 | 1.8864          | {'f1': 0.8762755102040816} | {'accuracy': 0.8139980824544583} |
| 0.0046        | 877.0  | 293795 | 1.6726          | {'f1': 0.8762151652624757} | {'accuracy': 0.8168744007670182} |
| 0.0053        | 878.0  | 294130 | 1.6633          | {'f1': 0.8768729641693811} | {'accuracy': 0.8187919463087249} |
| 0.0053        | 879.0  | 294465 | 1.5332          | {'f1': 0.881201044386423}  | {'accuracy': 0.825503355704698}  |
| 0.0038        | 880.0  | 294800 | 1.5875          | {'f1': 0.8794788273615636} | {'accuracy': 0.822627037392138}  |
| 0.0016        | 881.0  | 295135 | 1.5800          | {'f1': 0.8823529411764706} | {'accuracy': 0.8274209012464045} |
| 0.0016        | 882.0  | 295470 | 1.7071          | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0036        | 883.0  | 295805 | 1.5565          | {'f1': 0.8828590337524818} | {'accuracy': 0.8302972195589645} |
| 0.0029        | 884.0  | 296140 | 1.6237          | {'f1': 0.8787878787878788} | {'accuracy': 0.8235858101629914} |
| 0.0029        | 885.0  | 296475 | 1.6317          | {'f1': 0.8809993425378042} | {'accuracy': 0.8264621284755513} |
| 0.0023        | 886.0  | 296810 | 1.7371          | {'f1': 0.8825806451612904} | {'accuracy': 0.825503355704698}  |
| 0.0042        | 887.0  | 297145 | 1.6704          | {'f1': 0.8825065274151437} | {'accuracy': 0.8274209012464045} |
| 0.0042        | 888.0  | 297480 | 1.6768          | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698}  |
| 0.0034        | 889.0  | 297815 | 1.5612          | {'f1': 0.8820786142571618} | {'accuracy': 0.8302972195589645} |
| 0.0032        | 890.0  | 298150 | 1.6058          | {'f1': 0.8811556139198949} | {'accuracy': 0.8264621284755513} |
| 0.0032        | 891.0  | 298485 | 1.5487          | {'f1': 0.8815789473684211} | {'accuracy': 0.8274209012464045} |
| 0.0042        | 892.0  | 298820 | 1.6238          | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.005         | 893.0  | 299155 | 1.6006          | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.005         | 894.0  | 299490 | 1.5974          | {'f1': 0.8840864440078585} | {'accuracy': 0.8302972195589645} |
| 0.0026        | 895.0  | 299825 | 1.5750          | {'f1': 0.8837820091923834} | {'accuracy': 0.8302972195589645} |
| 0.0029        | 896.0  | 300160 | 1.5631          | {'f1': 0.8874172185430463} | {'accuracy': 0.8370086289549377} |
| 0.0029        | 897.0  | 300495 | 1.4892          | {'f1': 0.8828590337524818} | {'accuracy': 0.8302972195589645} |
| 0.0078        | 898.0  | 300830 | 1.6689          | {'f1': 0.8818998716302953} | {'accuracy': 0.8235858101629914} |
| 0.0029        | 899.0  | 301165 | 1.6107          | {'f1': 0.880674448767834}  | {'accuracy': 0.8235858101629914} |
| 0.0033        | 900.0  | 301500 | 1.5714          | {'f1': 0.8861256544502618} | {'accuracy': 0.8331735378715245} |
| 0.0033        | 901.0  | 301835 | 1.5784          | {'f1': 0.8825065274151437} | {'accuracy': 0.8274209012464045} |
| 0.0034        | 902.0  | 302170 | 1.6497          | {'f1': 0.8831504196255648} | {'accuracy': 0.8264621284755513} |
| 0.0018        | 903.0  | 302505 | 1.5811          | {'f1': 0.8874259381171825} | {'accuracy': 0.8360498561840843} |
| 0.0018        | 904.0  | 302840 | 1.6148          | {'f1': 0.884967320261438}  | {'accuracy': 0.8312559923298178} |
| 0.0034        | 905.0  | 303175 | 1.6339          | {'f1': 0.8880105401844532} | {'accuracy': 0.8370086289549377} |
| 0.0024        | 906.0  | 303510 | 1.6064          | {'f1': 0.8850498338870432} | {'accuracy': 0.8341323106423778} |
| 0.0024        | 907.0  | 303845 | 1.6667          | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.0042        | 908.0  | 304180 | 1.5906          | {'f1': 0.8868421052631579} | {'accuracy': 0.835091083413231}  |
| 0.0044        | 909.0  | 304515 | 1.6430          | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.0044        | 910.0  | 304850 | 1.5804          | {'f1': 0.8821989528795812} | {'accuracy': 0.8274209012464045} |
| 0.0054        | 911.0  | 305185 | 1.5657          | {'f1': 0.8858085808580859} | {'accuracy': 0.8341323106423778} |
| 0.0035        | 912.0  | 305520 | 1.6200          | {'f1': 0.8867059593975114} | {'accuracy': 0.8341323106423778} |
| 0.0035        | 913.0  | 305855 | 1.6597          | {'f1': 0.881664499349805}  | {'accuracy': 0.825503355704698}  |
| 0.0045        | 914.0  | 306190 | 1.5984          | {'f1': 0.883322346736981}  | {'accuracy': 0.8302972195589645} |
| 0.0038        | 915.0  | 306525 | 1.6561          | {'f1': 0.8839634941329856} | {'accuracy': 0.8293384467881112} |
| 0.0038        | 916.0  | 306860 | 1.6429          | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.0035        | 917.0  | 307195 | 1.5792          | {'f1': 0.8855263157894737} | {'accuracy': 0.8331735378715245} |
| 0.0035        | 918.0  | 307530 | 1.7385          | {'f1': 0.8787684413085312} | {'accuracy': 0.8187919463087249} |
| 0.0035        | 919.0  | 307865 | 1.6209          | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0019        | 920.0  | 308200 | 1.7804          | {'f1': 0.8798972382787411} | {'accuracy': 0.8207094918504314} |
| 0.0031        | 921.0  | 308535 | 1.6301          | {'f1': 0.8826229508196721} | {'accuracy': 0.8283796740172579} |
| 0.0031        | 922.0  | 308870 | 1.6976          | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0038        | 923.0  | 309205 | 1.6510          | {'f1': 0.882084690553746}  | {'accuracy': 0.8264621284755513} |
| 0.0042        | 924.0  | 309540 | 1.5643          | {'f1': 0.8849206349206349} | {'accuracy': 0.8331735378715245} |
| 0.0042        | 925.0  | 309875 | 1.6576          | {'f1': 0.880103694102398}  | {'accuracy': 0.822627037392138}  |
| 0.0028        | 926.0  | 310210 | 1.5039          | {'f1': 0.8815612382234185} | {'accuracy': 0.8312559923298178} |
| 0.0062        | 927.0  | 310545 | 1.5374          | {'f1': 0.8850498338870432} | {'accuracy': 0.8341323106423778} |
| 0.0062        | 928.0  | 310880 | 1.5927          | {'f1': 0.8826229508196721} | {'accuracy': 0.8283796740172579} |
| 0.0044        | 929.0  | 311215 | 1.5802          | {'f1': 0.88433575677462}   | {'accuracy': 0.8322147651006712} |
| 0.0027        | 930.0  | 311550 | 1.6385          | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.0027        | 931.0  | 311885 | 1.6352          | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.0019        | 932.0  | 312220 | 1.5997          | {'f1': 0.8833551769331585} | {'accuracy': 0.8293384467881112} |
| 0.0057        | 933.0  | 312555 | 1.7269          | {'f1': 0.8792332268370607} | {'accuracy': 0.8187919463087249} |
| 0.0057        | 934.0  | 312890 | 1.6056          | {'f1': 0.88296488946684}   | {'accuracy': 0.8274209012464045} |
| 0.0041        | 935.0  | 313225 | 1.5573          | {'f1': 0.8805774278215224} | {'accuracy': 0.825503355704698}  |
| 0.0047        | 936.0  | 313560 | 1.5695          | {'f1': 0.881201044386423}  | {'accuracy': 0.825503355704698}  |
| 0.0047        | 937.0  | 313895 | 1.5672          | {'f1': 0.8816219751471549} | {'accuracy': 0.8264621284755513} |
| 0.0032        | 938.0  | 314230 | 1.6133          | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0066        | 939.0  | 314565 | 1.6662          | {'f1': 0.8798972382787411} | {'accuracy': 0.8207094918504314} |
| 0.0066        | 940.0  | 314900 | 1.6603          | {'f1': 0.8811369509043928} | {'accuracy': 0.8235858101629914} |
| 0.0034        | 941.0  | 315235 | 1.6765          | {'f1': 0.8804627249357326} | {'accuracy': 0.8216682646212847} |
| 0.0027        | 942.0  | 315570 | 1.5801          | {'f1': 0.8804204993429697} | {'accuracy': 0.825503355704698}  |
| 0.0027        | 943.0  | 315905 | 1.6363          | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.005         | 944.0  | 316240 | 1.5752          | {'f1': 0.8828125}          | {'accuracy': 0.8274209012464045} |
| 0.0034        | 945.0  | 316575 | 1.6556          | {'f1': 0.8809218950064021} | {'accuracy': 0.8216682646212847} |
| 0.0034        | 946.0  | 316910 | 1.5272          | {'f1': 0.8847926267281107} | {'accuracy': 0.8322147651006712} |
| 0.0036        | 947.0  | 317245 | 1.5728          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0043        | 948.0  | 317580 | 1.5613          | {'f1': 0.8834759710335748} | {'accuracy': 0.8302972195589645} |
| 0.0043        | 949.0  | 317915 | 1.7344          | {'f1': 0.8813341885824246} | {'accuracy': 0.822627037392138}  |
| 0.0025        | 950.0  | 318250 | 1.6721          | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0023        | 951.0  | 318585 | 1.6155          | {'f1': 0.8806855636123929} | {'accuracy': 0.8264621284755513} |
| 0.0023        | 952.0  | 318920 | 1.6973          | {'f1': 0.8839634941329856} | {'accuracy': 0.8293384467881112} |
| 0.0025        | 953.0  | 319255 | 1.7128          | {'f1': 0.8852883992222943} | {'accuracy': 0.8302972195589645} |
| 0.0027        | 954.0  | 319590 | 1.6258          | {'f1': 0.882392026578073}  | {'accuracy': 0.8302972195589645} |
| 0.0027        | 955.0  | 319925 | 1.6449          | {'f1': 0.8791064388961892} | {'accuracy': 0.8235858101629914} |
| 0.0041        | 956.0  | 320260 | 1.7144          | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0033        | 957.0  | 320595 | 1.6443          | {'f1': 0.8791064388961892} | {'accuracy': 0.8235858101629914} |
| 0.0033        | 958.0  | 320930 | 1.6851          | {'f1': 0.8835393623942747} | {'accuracy': 0.8283796740172579} |
| 0.0033        | 959.0  | 321265 | 1.6488          | {'f1': 0.8783694937541091} | {'accuracy': 0.822627037392138}  |
| 0.0042        | 960.0  | 321600 | 1.6676          | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0042        | 961.0  | 321935 | 1.6440          | {'f1': 0.8813559322033898} | {'accuracy': 0.825503355704698}  |
| 0.0034        | 962.0  | 322270 | 1.5868          | {'f1': 0.881201044386423}  | {'accuracy': 0.825503355704698}  |
| 0.0039        | 963.0  | 322605 | 1.6646          | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.0039        | 964.0  | 322940 | 1.5576          | {'f1': 0.8825481088254811} | {'accuracy': 0.8302972195589645} |
| 0.0027        | 965.0  | 323275 | 1.6395          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.0061        | 966.0  | 323610 | 1.5301          | {'f1': 0.8805870580386924} | {'accuracy': 0.8283796740172579} |
| 0.0061        | 967.0  | 323945 | 1.5664          | {'f1': 0.8811556139198949} | {'accuracy': 0.8264621284755513} |
| 0.0027        | 968.0  | 324280 | 1.5934          | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0046        | 969.0  | 324615 | 1.6040          | {'f1': 0.8841145833333333} | {'accuracy': 0.8293384467881112} |
| 0.0046        | 970.0  | 324950 | 1.5580          | {'f1': 0.8801054018445323} | {'accuracy': 0.825503355704698}  |
| 0.0024        | 971.0  | 325285 | 1.6129          | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.0025        | 972.0  | 325620 | 1.5886          | {'f1': 0.8799472295514512} | {'accuracy': 0.825503355704698}  |
| 0.0025        | 973.0  | 325955 | 1.6544          | {'f1': 0.8852672750977836} | {'accuracy': 0.8312559923298178} |
| 0.0022        | 974.0  | 326290 | 1.6077          | {'f1': 0.8829300196206671} | {'accuracy': 0.8283796740172579} |
| 0.0055        | 975.0  | 326625 | 1.6093          | {'f1': 0.88}               | {'accuracy': 0.8245445829338447} |
| 0.0055        | 976.0  | 326960 | 1.7068          | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.003         | 977.0  | 327295 | 1.6335          | {'f1': 0.8809993425378042} | {'accuracy': 0.8264621284755513} |
| 0.0029        | 978.0  | 327630 | 1.6634          | {'f1': 0.8779220779220779} | {'accuracy': 0.8197507190795782} |
| 0.0029        | 979.0  | 327965 | 1.6256          | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0057        | 980.0  | 328300 | 1.6660          | {'f1': 0.8814432989690721} | {'accuracy': 0.8235858101629914} |
| 0.003         | 981.0  | 328635 | 1.5918          | {'f1': 0.8839344262295081} | {'accuracy': 0.8302972195589645} |
| 0.003         | 982.0  | 328970 | 1.7089          | {'f1': 0.8823151125401929} | {'accuracy': 0.8245445829338447} |
| 0.0038        | 983.0  | 329305 | 1.6115          | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0031        | 984.0  | 329640 | 1.5545          | {'f1': 0.8805280528052805} | {'accuracy': 0.8264621284755513} |
| 0.0031        | 985.0  | 329975 | 1.6240          | {'f1': 0.8823529411764706} | {'accuracy': 0.8274209012464045} |
| 0.0015        | 986.0  | 330310 | 1.6431          | {'f1': 0.8832684824902725} | {'accuracy': 0.8274209012464045} |
| 0.0035        | 987.0  | 330645 | 1.5873          | {'f1': 0.884967320261438}  | {'accuracy': 0.8312559923298178} |
| 0.0035        | 988.0  | 330980 | 1.5421          | {'f1': 0.8837516512549538} | {'accuracy': 0.8312559923298178} |
| 0.0039        | 989.0  | 331315 | 1.5917          | {'f1': 0.8841826604897418} | {'accuracy': 0.8322147651006712} |
| 0.0014        | 990.0  | 331650 | 1.5912          | {'f1': 0.8875582168995342} | {'accuracy': 0.837967401725791}  |
| 0.0014        | 991.0  | 331985 | 1.6806          | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0026        | 992.0  | 332320 | 1.6707          | {'f1': 0.8843626806833115} | {'accuracy': 0.8312559923298178} |
| 0.0017        | 993.0  | 332655 | 1.8238          | {'f1': 0.882466281310212}  | {'accuracy': 0.8245445829338447} |
| 0.0017        | 994.0  | 332990 | 1.6485          | {'f1': 0.8822751322751322} | {'accuracy': 0.8293384467881112} |
| 0.0026        | 995.0  | 333325 | 1.6771          | {'f1': 0.8816219751471549} | {'accuracy': 0.8264621284755513} |
| 0.0035        | 996.0  | 333660 | 1.7282          | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0035        | 997.0  | 333995 | 1.7101          | {'f1': 0.8797920727745288} | {'accuracy': 0.822627037392138}  |
| 0.0035        | 998.0  | 334330 | 1.7343          | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.0025        | 999.0  | 334665 | 1.8057          | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.0019        | 1000.0 | 335000 | 1.8351          | {'f1': 0.8804627249357326} | {'accuracy': 0.8216682646212847} |
| 0.0019        | 1001.0 | 335335 | 1.6279          | {'f1': 0.8844884488448844} | {'accuracy': 0.8322147651006712} |
| 0.006         | 1002.0 | 335670 | 1.6531          | {'f1': 0.8852459016393444} | {'accuracy': 0.8322147651006712} |
| 0.004         | 1003.0 | 336005 | 1.6674          | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.004         | 1004.0 | 336340 | 1.7113          | {'f1': 0.882084690553746}  | {'accuracy': 0.8264621284755513} |
| 0.0022        | 1005.0 | 336675 | 1.6658          | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0039        | 1006.0 | 337010 | 1.7137          | {'f1': 0.8788075178224238} | {'accuracy': 0.8207094918504314} |
| 0.0039        | 1007.0 | 337345 | 1.6736          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0052        | 1008.0 | 337680 | 1.5942          | {'f1': 0.8817766165904638} | {'accuracy': 0.8264621284755513} |
| 0.0072        | 1009.0 | 338015 | 1.6167          | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138}  |
| 0.0072        | 1010.0 | 338350 | 1.5201          | {'f1': 0.8883048620236531} | {'accuracy': 0.8370086289549377} |
| 0.0021        | 1011.0 | 338685 | 1.5181          | {'f1': 0.8846407382992749} | {'accuracy': 0.8322147651006712} |
| 0.0023        | 1012.0 | 339020 | 1.5751          | {'f1': 0.8871493803000652} | {'accuracy': 0.8341323106423778} |
| 0.0023        | 1013.0 | 339355 | 1.5257          | {'f1': 0.88561872909699}   | {'accuracy': 0.8360498561840843} |
| 0.0023        | 1014.0 | 339690 | 1.6862          | {'f1': 0.8821635544108178} | {'accuracy': 0.8245445829338447} |
| 0.0035        | 1015.0 | 340025 | 1.5701          | {'f1': 0.8836291913214991} | {'accuracy': 0.8302972195589645} |
| 0.0035        | 1016.0 | 340360 | 1.5413          | {'f1': 0.8850498338870432} | {'accuracy': 0.8341323106423778} |
| 0.0026        | 1017.0 | 340695 | 1.7485          | {'f1': 0.8803088803088803} | {'accuracy': 0.8216682646212847} |
| 0.0028        | 1018.0 | 341030 | 1.7583          | {'f1': 0.8823151125401929} | {'accuracy': 0.8245445829338447} |
| 0.0028        | 1019.0 | 341365 | 1.7090          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.003         | 1020.0 | 341700 | 1.5417          | {'f1': 0.8875661375661376} | {'accuracy': 0.8370086289549377} |
| 0.0075        | 1021.0 | 342035 | 1.5904          | {'f1': 0.8874430709173715} | {'accuracy': 0.8341323106423778} |
| 0.0075        | 1022.0 | 342370 | 1.5910          | {'f1': 0.8865710560625816} | {'accuracy': 0.8331735378715245} |
| 0.0026        | 1023.0 | 342705 | 1.5547          | {'f1': 0.8859591298615689} | {'accuracy': 0.8341323106423778} |
| 0.0041        | 1024.0 | 343040 | 1.5638          | {'f1': 0.8891820580474935} | {'accuracy': 0.8389261744966443} |
| 0.0041        | 1025.0 | 343375 | 1.7581          | {'f1': 0.8795878943979395} | {'accuracy': 0.8207094918504314} |
| 0.004         | 1026.0 | 343710 | 1.5905          | {'f1': 0.8865435356200528} | {'accuracy': 0.835091083413231}  |
| 0.0028        | 1027.0 | 344045 | 1.7152          | {'f1': 0.8831504196255648} | {'accuracy': 0.8264621284755513} |
| 0.0028        | 1028.0 | 344380 | 1.6984          | {'f1': 0.8847150259067358} | {'accuracy': 0.8293384467881112} |
| 0.0021        | 1029.0 | 344715 | 1.6455          | {'f1': 0.8875816993464052} | {'accuracy': 0.835091083413231}  |
| 0.0029        | 1030.0 | 345050 | 1.5999          | {'f1': 0.8885959129861568} | {'accuracy': 0.837967401725791}  |
| 0.0029        | 1031.0 | 345385 | 1.6865          | {'f1': 0.8861418347430059} | {'accuracy': 0.8322147651006712} |
| 0.0015        | 1032.0 | 345720 | 1.5991          | {'f1': 0.8887417218543047} | {'accuracy': 0.8389261744966443} |
| 0.0054        | 1033.0 | 346055 | 1.8527          | {'f1': 0.8778625954198473} | {'accuracy': 0.8159156279961649} |
| 0.0054        | 1034.0 | 346390 | 1.5213          | {'f1': 0.8918558077436584} | {'accuracy': 0.8446788111217641} |
| 0.0037        | 1035.0 | 346725 | 1.6267          | {'f1': 0.8868541530412034} | {'accuracy': 0.8341323106423778} |
| 0.0035        | 1036.0 | 347060 | 1.5801          | {'f1': 0.8883013879709186} | {'accuracy': 0.837967401725791}  |
| 0.0035        | 1037.0 | 347395 | 1.6451          | {'f1': 0.8884540117416829} | {'accuracy': 0.8360498561840843} |
| 0.0037        | 1038.0 | 347730 | 1.5951          | {'f1': 0.8884488448844885} | {'accuracy': 0.837967401725791}  |
| 0.0031        | 1039.0 | 348065 | 1.5840          | {'f1': 0.8874172185430463} | {'accuracy': 0.8370086289549377} |
| 0.0031        | 1040.0 | 348400 | 1.6453          | {'f1': 0.888597640891219}  | {'accuracy': 0.8370086289549377} |
| 0.0031        | 1041.0 | 348735 | 1.6136          | {'f1': 0.8875661375661376} | {'accuracy': 0.8370086289549377} |
| 0.0022        | 1042.0 | 349070 | 1.6422          | {'f1': 0.8903566710700133} | {'accuracy': 0.840843720038351}  |
| 0.0022        | 1043.0 | 349405 | 1.6441          | {'f1': 0.8881621975147155} | {'accuracy': 0.8360498561840843} |
| 0.0032        | 1044.0 | 349740 | 1.7125          | {'f1': 0.8841423948220065} | {'accuracy': 0.8283796740172579} |
| 0.0044        | 1045.0 | 350075 | 1.6543          | {'f1': 0.8859934853420196} | {'accuracy': 0.8322147651006712} |
| 0.0044        | 1046.0 | 350410 | 1.6956          | {'f1': 0.8847150259067358} | {'accuracy': 0.8293384467881112} |
| 0.0042        | 1047.0 | 350745 | 1.5667          | {'f1': 0.8899143045484509} | {'accuracy': 0.8398849472674976} |
| 0.0041        | 1048.0 | 351080 | 1.5807          | {'f1': 0.8861256544502618} | {'accuracy': 0.8331735378715245} |
| 0.0041        | 1049.0 | 351415 | 1.5926          | {'f1': 0.8858267716535433} | {'accuracy': 0.8331735378715245} |
| 0.0018        | 1050.0 | 351750 | 1.6285          | {'f1': 0.8856956237753103} | {'accuracy': 0.8322147651006712} |
| 0.0029        | 1051.0 | 352085 | 1.5853          | {'f1': 0.8874259381171825} | {'accuracy': 0.8360498561840843} |
| 0.0029        | 1052.0 | 352420 | 1.6858          | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0032        | 1053.0 | 352755 | 1.7886          | {'f1': 0.8808757244043787} | {'accuracy': 0.822627037392138}  |
| 0.0023        | 1054.0 | 353090 | 1.6543          | {'f1': 0.8837820091923834} | {'accuracy': 0.8302972195589645} |
| 0.0023        | 1055.0 | 353425 | 1.6165          | {'f1': 0.8839050131926122} | {'accuracy': 0.8312559923298178} |
| 0.0036        | 1056.0 | 353760 | 1.6832          | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0036        | 1057.0 | 354095 | 1.6402          | {'f1': 0.8852672750977836} | {'accuracy': 0.8312559923298178} |
| 0.0036        | 1058.0 | 354430 | 1.6821          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0024        | 1059.0 | 354765 | 1.5917          | {'f1': 0.8852242744063324} | {'accuracy': 0.8331735378715245} |
| 0.0043        | 1060.0 | 355100 | 1.6325          | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.0043        | 1061.0 | 355435 | 1.5850          | {'f1': 0.8846153846153847} | {'accuracy': 0.8331735378715245} |
| 0.0039        | 1062.0 | 355770 | 1.5670          | {'f1': 0.885506287227002}  | {'accuracy': 0.8341323106423778} |
| 0.0019        | 1063.0 | 356105 | 1.6631          | {'f1': 0.8880208333333334} | {'accuracy': 0.835091083413231}  |
| 0.0019        | 1064.0 | 356440 | 1.5969          | {'f1': 0.886259040105194}  | {'accuracy': 0.8341323106423778} |
| 0.0036        | 1065.0 | 356775 | 1.5846          | {'f1': 0.8839050131926122} | {'accuracy': 0.8312559923298178} |
| 0.0029        | 1066.0 | 357110 | 1.6015          | {'f1': 0.8872870249017039} | {'accuracy': 0.835091083413231}  |
| 0.0029        | 1067.0 | 357445 | 1.6231          | {'f1': 0.8862745098039215} | {'accuracy': 0.8331735378715245} |
| 0.0028        | 1068.0 | 357780 | 1.5626          | {'f1': 0.88021534320323}   | {'accuracy': 0.8293384467881112} |
| 0.0032        | 1069.0 | 358115 | 1.6495          | {'f1': 0.8842380640941793} | {'accuracy': 0.8302972195589645} |
| 0.0032        | 1070.0 | 358450 | 1.6486          | {'f1': 0.8825065274151437} | {'accuracy': 0.8274209012464045} |
| 0.0047        | 1071.0 | 358785 | 1.6075          | {'f1': 0.8820039551746869} | {'accuracy': 0.8283796740172579} |
| 0.0028        | 1072.0 | 359120 | 1.7135          | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138}  |
| 0.0028        | 1073.0 | 359455 | 1.6339          | {'f1': 0.8790482485128884} | {'accuracy': 0.8245445829338447} |
| 0.0031        | 1074.0 | 359790 | 1.6787          | {'f1': 0.8830829523187459} | {'accuracy': 0.8283796740172579} |
| 0.0048        | 1075.0 | 360125 | 1.6607          | {'f1': 0.8797920727745288} | {'accuracy': 0.822627037392138}  |
| 0.0048        | 1076.0 | 360460 | 1.7147          | {'f1': 0.8777633289986997} | {'accuracy': 0.8197507190795782} |
| 0.0016        | 1077.0 | 360795 | 1.6353          | {'f1': 0.8782722513089006} | {'accuracy': 0.8216682646212847} |
| 0.0038        | 1078.0 | 361130 | 1.5526          | {'f1': 0.8822355289421158} | {'accuracy': 0.8302972195589645} |
| 0.0038        | 1079.0 | 361465 | 1.6613          | {'f1': 0.8793774319066148} | {'accuracy': 0.8216682646212847} |
| 0.0038        | 1080.0 | 361800 | 1.6224          | {'f1': 0.8816219751471549} | {'accuracy': 0.8264621284755513} |
| 0.0014        | 1081.0 | 362135 | 1.6471          | {'f1': 0.8804702808621816} | {'accuracy': 0.8245445829338447} |
| 0.0014        | 1082.0 | 362470 | 1.6292          | {'f1': 0.8858267716535433} | {'accuracy': 0.8331735378715245} |
| 0.0035        | 1083.0 | 362805 | 1.6660          | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0024        | 1084.0 | 363140 | 1.6730          | {'f1': 0.8807817589576548} | {'accuracy': 0.8245445829338447} |
| 0.0024        | 1085.0 | 363475 | 1.6435          | {'f1': 0.8832354859752121} | {'accuracy': 0.8283796740172579} |
| 0.0037        | 1086.0 | 363810 | 1.5428          | {'f1': 0.8847682119205298} | {'accuracy': 0.8331735378715245} |
| 0.0048        | 1087.0 | 364145 | 1.5604          | {'f1': 0.8858267716535433} | {'accuracy': 0.8331735378715245} |
| 0.0048        | 1088.0 | 364480 | 1.6473          | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.0042        | 1089.0 | 364815 | 1.5494          | {'f1': 0.8859591298615689} | {'accuracy': 0.8341323106423778} |
| 0.0025        | 1090.0 | 365150 | 1.6817          | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698}  |
| 0.0025        | 1091.0 | 365485 | 1.5962          | {'f1': 0.8849441157133465} | {'accuracy': 0.8322147651006712} |
| 0.0027        | 1092.0 | 365820 | 1.6261          | {'f1': 0.8827037773359842} | {'accuracy': 0.8302972195589645} |
| 0.0023        | 1093.0 | 366155 | 1.6884          | {'f1': 0.8865845755022683} | {'accuracy': 0.8322147651006712} |
| 0.0023        | 1094.0 | 366490 | 1.6529          | {'f1': 0.8865710560625816} | {'accuracy': 0.8331735378715245} |
| 0.0048        | 1095.0 | 366825 | 1.6021          | {'f1': 0.8860927152317881} | {'accuracy': 0.835091083413231}  |
| 0.0043        | 1096.0 | 367160 | 1.6417          | {'f1': 0.8864229765013055} | {'accuracy': 0.8331735378715245} |
| 0.0043        | 1097.0 | 367495 | 1.5660          | {'f1': 0.8859591298615689} | {'accuracy': 0.8341323106423778} |
| 0.0036        | 1098.0 | 367830 | 1.5302          | {'f1': 0.885486018641811}  | {'accuracy': 0.835091083413231}  |
| 0.0025        | 1099.0 | 368165 | 1.5780          | {'f1': 0.8856382978723404} | {'accuracy': 0.835091083413231}  |
| 0.0034        | 1100.0 | 368500 | 1.6380          | {'f1': 0.8813559322033898} | {'accuracy': 0.825503355704698}  |
| 0.0034        | 1101.0 | 368835 | 1.5353          | {'f1': 0.8877076411960134} | {'accuracy': 0.837967401725791}  |
| 0.0028        | 1102.0 | 369170 | 1.5930          | {'f1': 0.8850952068286276} | {'accuracy': 0.8322147651006712} |
| 0.0016        | 1103.0 | 369505 | 1.6172          | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.0016        | 1104.0 | 369840 | 1.6414          | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.0027        | 1105.0 | 370175 | 1.6066          | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.003         | 1106.0 | 370510 | 1.6791          | {'f1': 0.8868660598179455} | {'accuracy': 0.8331735378715245} |
| 0.003         | 1107.0 | 370845 | 1.6333          | {'f1': 0.8833551769331585} | {'accuracy': 0.8293384467881112} |
| 0.0047        | 1108.0 | 371180 | 1.5901          | {'f1': 0.8875661375661376} | {'accuracy': 0.8370086289549377} |
| 0.0045        | 1109.0 | 371515 | 1.5836          | {'f1': 0.8865573770491804} | {'accuracy': 0.8341323106423778} |
| 0.0045        | 1110.0 | 371850 | 1.5848          | {'f1': 0.8871391076115486} | {'accuracy': 0.835091083413231}  |
| 0.0027        | 1111.0 | 372185 | 1.5712          | {'f1': 0.8864229765013055} | {'accuracy': 0.8331735378715245} |
| 0.0036        | 1112.0 | 372520 | 1.6526          | {'f1': 0.8852883992222943} | {'accuracy': 0.8302972195589645} |
| 0.0036        | 1113.0 | 372855 | 1.5732          | {'f1': 0.8881578947368421} | {'accuracy': 0.8370086289549377} |
| 0.0039        | 1114.0 | 373190 | 1.5640          | {'f1': 0.8906455862977603} | {'accuracy': 0.840843720038351}  |
| 0.0042        | 1115.0 | 373525 | 1.5411          | {'f1': 0.8887417218543047} | {'accuracy': 0.8389261744966443} |
| 0.0042        | 1116.0 | 373860 | 1.5553          | {'f1': 0.889920424403183}  | {'accuracy': 0.840843720038351}  |
| 0.002         | 1117.0 | 374195 | 1.6430          | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.003         | 1118.0 | 374530 | 1.5749          | {'f1': 0.8885959129861568} | {'accuracy': 0.837967401725791}  |
| 0.003         | 1119.0 | 374865 | 1.6465          | {'f1': 0.8861418347430059} | {'accuracy': 0.8322147651006712} |
| 0.0028        | 1120.0 | 375200 | 1.6485          | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0022        | 1121.0 | 375535 | 1.6010          | {'f1': 0.8850952068286276} | {'accuracy': 0.8322147651006712} |
| 0.0022        | 1122.0 | 375870 | 1.6192          | {'f1': 0.8871391076115486} | {'accuracy': 0.835091083413231}  |
| 0.0031        | 1123.0 | 376205 | 1.5876          | {'f1': 0.8865435356200528} | {'accuracy': 0.835091083413231}  |
| 0.0014        | 1124.0 | 376540 | 1.6109          | {'f1': 0.8853754940711462} | {'accuracy': 0.8331735378715245} |
| 0.0014        | 1125.0 | 376875 | 1.6595          | {'f1': 0.8865710560625816} | {'accuracy': 0.8331735378715245} |
| 0.0018        | 1126.0 | 377210 | 1.5596          | {'f1': 0.8897795591182364} | {'accuracy': 0.8418024928092043} |
| 0.0024        | 1127.0 | 377545 | 1.6213          | {'f1': 0.8863936591809775} | {'accuracy': 0.835091083413231}  |
| 0.0024        | 1128.0 | 377880 | 1.5969          | {'f1': 0.8842809364548496} | {'accuracy': 0.8341323106423778} |
| 0.0024        | 1129.0 | 378215 | 1.5904          | {'f1': 0.885887913571911}  | {'accuracy': 0.837967401725791}  |
| 0.0032        | 1130.0 | 378550 | 1.7256          | {'f1': 0.8862897985705004} | {'accuracy': 0.8322147651006712} |
| 0.0032        | 1131.0 | 378885 | 1.8606          | {'f1': 0.8789237668161436} | {'accuracy': 0.8187919463087249} |
| 0.0019        | 1132.0 | 379220 | 1.7037          | {'f1': 0.8850726552179656} | {'accuracy': 0.8331735378715245} |
| 0.0026        | 1133.0 | 379555 | 1.7805          | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0026        | 1134.0 | 379890 | 1.8544          | {'f1': 0.8815958815958816} | {'accuracy': 0.8235858101629914} |
| 0.0028        | 1135.0 | 380225 | 1.7224          | {'f1': 0.883322346736981}  | {'accuracy': 0.8302972195589645} |
| 0.0018        | 1136.0 | 380560 | 1.8129          | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0018        | 1137.0 | 380895 | 1.6931          | {'f1': 0.885506287227002}  | {'accuracy': 0.8341323106423778} |
| 0.003         | 1138.0 | 381230 | 1.7690          | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.003         | 1139.0 | 381565 | 1.7252          | {'f1': 0.886408404464872}  | {'accuracy': 0.8341323106423778} |
| 0.003         | 1140.0 | 381900 | 1.7165          | {'f1': 0.8846407382992749} | {'accuracy': 0.8322147651006712} |
| 0.0018        | 1141.0 | 382235 | 1.7154          | {'f1': 0.8877216021011162} | {'accuracy': 0.8360498561840843} |
| 0.0027        | 1142.0 | 382570 | 1.6908          | {'f1': 0.8821192052980134} | {'accuracy': 0.8293384467881112} |
| 0.0027        | 1143.0 | 382905 | 1.7904          | {'f1': 0.8852883992222943} | {'accuracy': 0.8302972195589645} |
| 0.0021        | 1144.0 | 383240 | 1.8250          | {'f1': 0.8825806451612904} | {'accuracy': 0.825503355704698}  |
| 0.0016        | 1145.0 | 383575 | 1.6276          | {'f1': 0.8877005347593583} | {'accuracy': 0.8389261744966443} |
| 0.0016        | 1146.0 | 383910 | 1.6543          | {'f1': 0.8875661375661376} | {'accuracy': 0.8370086289549377} |
| 0.0039        | 1147.0 | 384245 | 1.6855          | {'f1': 0.8847926267281107} | {'accuracy': 0.8322147651006712} |
| 0.0015        | 1148.0 | 384580 | 1.7470          | {'f1': 0.8880157170923381} | {'accuracy': 0.8360498561840843} |
| 0.0015        | 1149.0 | 384915 | 1.7802          | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0016        | 1150.0 | 385250 | 1.7562          | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.0018        | 1151.0 | 385585 | 1.7715          | {'f1': 0.8856956237753103} | {'accuracy': 0.8322147651006712} |
| 0.0018        | 1152.0 | 385920 | 1.7989          | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0019        | 1153.0 | 386255 | 1.8137          | {'f1': 0.8851395197923426} | {'accuracy': 0.8302972195589645} |
| 0.0042        | 1154.0 | 386590 | 1.7496          | {'f1': 0.8858267716535433} | {'accuracy': 0.8331735378715245} |
| 0.0042        | 1155.0 | 386925 | 1.7889          | {'f1': 0.8836601307189542} | {'accuracy': 0.8293384467881112} |
| 0.003         | 1156.0 | 387260 | 1.6654          | {'f1': 0.8856576338400529} | {'accuracy': 0.8341323106423778} |
| 0.0027        | 1157.0 | 387595 | 1.9299          | {'f1': 0.8777070063694268} | {'accuracy': 0.8159156279961649} |
| 0.0027        | 1158.0 | 387930 | 1.6656          | {'f1': 0.8861092824226466} | {'accuracy': 0.8341323106423778} |
| 0.0044        | 1159.0 | 388265 | 1.7469          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0026        | 1160.0 | 388600 | 1.7098          | {'f1': 0.8836601307189542} | {'accuracy': 0.8293384467881112} |
| 0.0026        | 1161.0 | 388935 | 1.7530          | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0017        | 1162.0 | 389270 | 1.7884          | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0028        | 1163.0 | 389605 | 1.7387          | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.0028        | 1164.0 | 389940 | 1.7094          | {'f1': 0.8852242744063324} | {'accuracy': 0.8331735378715245} |
| 0.0027        | 1165.0 | 390275 | 1.8461          | {'f1': 0.8811817597944765} | {'accuracy': 0.822627037392138}  |
| 0.0037        | 1166.0 | 390610 | 1.7538          | {'f1': 0.8827766863130322} | {'accuracy': 0.8283796740172579} |
| 0.0037        | 1167.0 | 390945 | 1.7664          | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0016        | 1168.0 | 391280 | 1.7127          | {'f1': 0.8811556139198949} | {'accuracy': 0.8264621284755513} |
| 0.0028        | 1169.0 | 391615 | 1.7404          | {'f1': 0.8816219751471549} | {'accuracy': 0.8264621284755513} |
| 0.0028        | 1170.0 | 391950 | 1.6900          | {'f1': 0.8840579710144927} | {'accuracy': 0.8312559923298178} |
| 0.0024        | 1171.0 | 392285 | 1.6964          | {'f1': 0.8849441157133465} | {'accuracy': 0.8322147651006712} |
| 0.0023        | 1172.0 | 392620 | 1.7047          | {'f1': 0.8849441157133465} | {'accuracy': 0.8322147651006712} |
| 0.0023        | 1173.0 | 392955 | 1.7315          | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0031        | 1174.0 | 393290 | 1.6667          | {'f1': 0.8871287128712871} | {'accuracy': 0.8360498561840843} |
| 0.0017        | 1175.0 | 393625 | 1.7351          | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.0017        | 1176.0 | 393960 | 1.7235          | {'f1': 0.8861256544502618} | {'accuracy': 0.8331735378715245} |
| 0.0021        | 1177.0 | 394295 | 1.6348          | {'f1': 0.885486018641811}  | {'accuracy': 0.835091083413231}  |
| 0.0058        | 1178.0 | 394630 | 1.6370          | {'f1': 0.8852023888520238} | {'accuracy': 0.8341323106423778} |
| 0.0058        | 1179.0 | 394965 | 1.6521          | {'f1': 0.8835662009314704} | {'accuracy': 0.8322147651006712} |
| 0.002         | 1180.0 | 395300 | 1.6771          | {'f1': 0.8852242744063324} | {'accuracy': 0.8331735378715245} |
| 0.0045        | 1181.0 | 395635 | 1.6599          | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.0045        | 1182.0 | 395970 | 1.6023          | {'f1': 0.8840291583830351} | {'accuracy': 0.8322147651006712} |
| 0.0018        | 1183.0 | 396305 | 1.6570          | {'f1': 0.8872870249017039} | {'accuracy': 0.835091083413231}  |
| 0.0023        | 1184.0 | 396640 | 1.7207          | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0023        | 1185.0 | 396975 | 1.6423          | {'f1': 0.888597640891219}  | {'accuracy': 0.8370086289549377} |
| 0.0021        | 1186.0 | 397310 | 1.6735          | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.0035        | 1187.0 | 397645 | 1.6051          | {'f1': 0.8866930171277998} | {'accuracy': 0.835091083413231}  |
| 0.0035        | 1188.0 | 397980 | 1.7041          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0018        | 1189.0 | 398315 | 1.6708          | {'f1': 0.885396201702685}  | {'accuracy': 0.8322147651006712} |
| 0.0022        | 1190.0 | 398650 | 1.6910          | {'f1': 0.8839634941329856} | {'accuracy': 0.8293384467881112} |
| 0.0022        | 1191.0 | 398985 | 1.5801          | {'f1': 0.888443553774215}  | {'accuracy': 0.8398849472674976} |
| 0.003         | 1192.0 | 399320 | 1.7103          | {'f1': 0.8842380640941793} | {'accuracy': 0.8302972195589645} |
| 0.0028        | 1193.0 | 399655 | 1.7610          | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.0028        | 1194.0 | 399990 | 1.6810          | {'f1': 0.8875739644970414} | {'accuracy': 0.8360498561840843} |
| 0.0018        | 1195.0 | 400325 | 1.6908          | {'f1': 0.8869908015768725} | {'accuracy': 0.835091083413231}  |
| 0.0017        | 1196.0 | 400660 | 1.7498          | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.0017        | 1197.0 | 400995 | 1.7100          | {'f1': 0.8858085808580859} | {'accuracy': 0.8341323106423778} |
| 0.0031        | 1198.0 | 401330 | 1.7323          | {'f1': 0.8875739644970414} | {'accuracy': 0.8360498561840843} |
| 0.0015        | 1199.0 | 401665 | 1.8114          | {'f1': 0.8861418347430059} | {'accuracy': 0.8322147651006712} |
| 0.0027        | 1200.0 | 402000 | 1.7582          | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.0027        | 1201.0 | 402335 | 1.6836          | {'f1': 0.8896276595744681} | {'accuracy': 0.840843720038351}  |
| 0.0028        | 1202.0 | 402670 | 1.7912          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0028        | 1203.0 | 403005 | 1.8033          | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0028        | 1204.0 | 403340 | 1.7985          | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0019        | 1205.0 | 403675 | 1.7905          | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.0032        | 1206.0 | 404010 | 1.7356          | {'f1': 0.886408404464872}  | {'accuracy': 0.8341323106423778} |
| 0.0032        | 1207.0 | 404345 | 1.6976          | {'f1': 0.8855461085676913} | {'accuracy': 0.8322147651006712} |
| 0.0044        | 1208.0 | 404680 | 1.7209          | {'f1': 0.8858447488584474} | {'accuracy': 0.8322147651006712} |
| 0.0016        | 1209.0 | 405015 | 1.7403          | {'f1': 0.8841145833333333} | {'accuracy': 0.8293384467881112} |
| 0.0016        | 1210.0 | 405350 | 1.6621          | {'f1': 0.8858085808580859} | {'accuracy': 0.8341323106423778} |
| 0.0032        | 1211.0 | 405685 | 1.7098          | {'f1': 0.8872870249017039} | {'accuracy': 0.835091083413231}  |
| 0.0022        | 1212.0 | 406020 | 1.6697          | {'f1': 0.8863936591809775} | {'accuracy': 0.835091083413231}  |
| 0.0022        | 1213.0 | 406355 | 1.7366          | {'f1': 0.88296488946684}   | {'accuracy': 0.8274209012464045} |
| 0.0025        | 1214.0 | 406690 | 1.6412          | {'f1': 0.8887417218543047} | {'accuracy': 0.8389261744966443} |
| 0.0026        | 1215.0 | 407025 | 1.7191          | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.0026        | 1216.0 | 407360 | 1.6733          | {'f1': 0.8884514435695539} | {'accuracy': 0.8370086289549377} |
| 0.0035        | 1217.0 | 407695 | 1.7227          | {'f1': 0.8855656697009102} | {'accuracy': 0.8312559923298178} |
| 0.0018        | 1218.0 | 408030 | 1.7874          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.0018        | 1219.0 | 408365 | 1.7690          | {'f1': 0.8851395197923426} | {'accuracy': 0.8302972195589645} |
| 0.0022        | 1220.0 | 408700 | 1.8313          | {'f1': 0.8808757244043787} | {'accuracy': 0.822627037392138}  |
| 0.0052        | 1221.0 | 409035 | 1.7186          | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.0052        | 1222.0 | 409370 | 1.7555          | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.0039        | 1223.0 | 409705 | 1.7314          | {'f1': 0.8798955613577023} | {'accuracy': 0.8235858101629914} |
| 0.0031        | 1224.0 | 410040 | 1.6025          | {'f1': 0.8877005347593583} | {'accuracy': 0.8389261744966443} |
| 0.0031        | 1225.0 | 410375 | 1.6785          | {'f1': 0.886259040105194}  | {'accuracy': 0.8341323106423778} |
| 0.0018        | 1226.0 | 410710 | 1.8083          | {'f1': 0.8803088803088803} | {'accuracy': 0.8216682646212847} |
| 0.0018        | 1227.0 | 411045 | 1.6697          | {'f1': 0.8832555036691127} | {'accuracy': 0.8322147651006712} |
| 0.0018        | 1228.0 | 411380 | 1.7528          | {'f1': 0.8828125}          | {'accuracy': 0.8274209012464045} |
| 0.0034        | 1229.0 | 411715 | 1.7647          | {'f1': 0.881664499349805}  | {'accuracy': 0.825503355704698}  |
| 0.0016        | 1230.0 | 412050 | 1.7080          | {'f1': 0.886259040105194}  | {'accuracy': 0.8341323106423778} |
| 0.0016        | 1231.0 | 412385 | 1.7002          | {'f1': 0.8866930171277998} | {'accuracy': 0.835091083413231}  |
| 0.0018        | 1232.0 | 412720 | 1.7542          | {'f1': 0.8858447488584474} | {'accuracy': 0.8322147651006712} |
| 0.0034        | 1233.0 | 413055 | 1.7277          | {'f1': 0.8841145833333333} | {'accuracy': 0.8293384467881112} |
| 0.0034        | 1234.0 | 413390 | 1.6909          | {'f1': 0.8859764089121887} | {'accuracy': 0.8331735378715245} |
| 0.0015        | 1235.0 | 413725 | 1.7052          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0025        | 1236.0 | 414060 | 1.7913          | {'f1': 0.8831504196255648} | {'accuracy': 0.8264621284755513} |
| 0.0025        | 1237.0 | 414395 | 1.7496          | {'f1': 0.8861418347430059} | {'accuracy': 0.8322147651006712} |
| 0.0029        | 1238.0 | 414730 | 1.6863          | {'f1': 0.8890347997373604} | {'accuracy': 0.837967401725791}  |
| 0.0027        | 1239.0 | 415065 | 1.7087          | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138}  |
| 0.0027        | 1240.0 | 415400 | 1.5965          | {'f1': 0.8891820580474935} | {'accuracy': 0.8389261744966443} |
| 0.0054        | 1241.0 | 415735 | 1.6261          | {'f1': 0.887434554973822}  | {'accuracy': 0.835091083413231}  |
| 0.0017        | 1242.0 | 416070 | 1.5655          | {'f1': 0.888888888888889}  | {'accuracy': 0.8389261744966443} |
| 0.0017        | 1243.0 | 416405 | 1.5952          | {'f1': 0.8884488448844885} | {'accuracy': 0.837967401725791}  |
| 0.0033        | 1244.0 | 416740 | 1.6296          | {'f1': 0.8875816993464052} | {'accuracy': 0.835091083413231}  |
| 0.0029        | 1245.0 | 417075 | 1.6133          | {'f1': 0.8883048620236531} | {'accuracy': 0.8370086289549377} |
| 0.0029        | 1246.0 | 417410 | 1.6047          | {'f1': 0.8878627968337731} | {'accuracy': 0.8370086289549377} |
| 0.0021        | 1247.0 | 417745 | 1.7268          | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0022        | 1248.0 | 418080 | 1.6843          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0022        | 1249.0 | 418415 | 1.6683          | {'f1': 0.8875816993464052} | {'accuracy': 0.835091083413231}  |
| 0.0027        | 1250.0 | 418750 | 1.6704          | {'f1': 0.8881621975147155} | {'accuracy': 0.8360498561840843} |
| 0.0022        | 1251.0 | 419085 | 1.7550          | {'f1': 0.8833010960670536} | {'accuracy': 0.8264621284755513} |
| 0.0022        | 1252.0 | 419420 | 1.6882          | {'f1': 0.8865710560625816} | {'accuracy': 0.8331735378715245} |
| 0.004         | 1253.0 | 419755 | 1.6692          | {'f1': 0.8868541530412034} | {'accuracy': 0.8341323106423778} |
| 0.0022        | 1254.0 | 420090 | 1.6207          | {'f1': 0.8853333333333333} | {'accuracy': 0.835091083413231}  |
| 0.0022        | 1255.0 | 420425 | 1.6777          | {'f1': 0.8872964169381107} | {'accuracy': 0.8341323106423778} |
| 0.0016        | 1256.0 | 420760 | 1.6322          | {'f1': 0.8885941644562333} | {'accuracy': 0.8389261744966443} |
| 0.0021        | 1257.0 | 421095 | 1.6463          | {'f1': 0.8880105401844532} | {'accuracy': 0.8370086289549377} |
| 0.0021        | 1258.0 | 421430 | 1.6737          | {'f1': 0.8884540117416829} | {'accuracy': 0.8360498561840843} |
| 0.0023        | 1259.0 | 421765 | 1.6487          | {'f1': 0.8890347997373604} | {'accuracy': 0.837967401725791}  |
| 0.0034        | 1260.0 | 422100 | 1.6921          | {'f1': 0.8865710560625816} | {'accuracy': 0.8331735378715245} |
| 0.0034        | 1261.0 | 422435 | 1.5953          | {'f1': 0.8887408394403731} | {'accuracy': 0.8398849472674976} |
| 0.0045        | 1262.0 | 422770 | 1.7129          | {'f1': 0.8845654993514916} | {'accuracy': 0.8293384467881112} |
| 0.0017        | 1263.0 | 423105 | 1.7699          | {'f1': 0.8811369509043928} | {'accuracy': 0.8235858101629914} |
| 0.0017        | 1264.0 | 423440 | 1.6435          | {'f1': 0.8875816993464052} | {'accuracy': 0.835091083413231}  |
| 0.0024        | 1265.0 | 423775 | 1.7540          | {'f1': 0.8808757244043787} | {'accuracy': 0.822627037392138}  |
| 0.0042        | 1266.0 | 424110 | 1.6861          | {'f1': 0.8858625162127108} | {'accuracy': 0.8312559923298178} |
| 0.0042        | 1267.0 | 424445 | 1.6125          | {'f1': 0.8858267716535433} | {'accuracy': 0.8331735378715245} |
| 0.004         | 1268.0 | 424780 | 1.6888          | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.0015        | 1269.0 | 425115 | 1.6839          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.0015        | 1270.0 | 425450 | 1.6722          | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0029        | 1271.0 | 425785 | 1.6979          | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0024        | 1272.0 | 426120 | 1.5824          | {'f1': 0.8862433862433863} | {'accuracy': 0.835091083413231}  |
| 0.0024        | 1273.0 | 426455 | 1.7985          | {'f1': 0.8787684413085312} | {'accuracy': 0.8187919463087249} |
| 0.0044        | 1274.0 | 426790 | 1.6429          | {'f1': 0.8830486202365309} | {'accuracy': 0.8293384467881112} |
| 0.0025        | 1275.0 | 427125 | 1.5866          | {'f1': 0.8860759493670886} | {'accuracy': 0.8360498561840843} |
| 0.0025        | 1276.0 | 427460 | 1.7528          | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0028        | 1277.0 | 427795 | 1.8184          | {'f1': 0.8780487804878049} | {'accuracy': 0.8178331735378715} |
| 0.0016        | 1278.0 | 428130 | 1.7036          | {'f1': 0.8820445609436436} | {'accuracy': 0.8274209012464045} |
| 0.0016        | 1279.0 | 428465 | 1.7409          | {'f1': 0.8800521512385918} | {'accuracy': 0.8235858101629914} |
| 0.0022        | 1280.0 | 428800 | 1.7406          | {'f1': 0.8780169602087411} | {'accuracy': 0.8207094918504314} |
| 0.0039        | 1281.0 | 429135 | 1.6932          | {'f1': 0.8804702808621816} | {'accuracy': 0.8245445829338447} |
| 0.0039        | 1282.0 | 429470 | 1.6137          | {'f1': 0.8853545394300861} | {'accuracy': 0.8341323106423778} |
| 0.0026        | 1283.0 | 429805 | 1.7429          | {'f1': 0.8790637191157347} | {'accuracy': 0.8216682646212847} |
| 0.0017        | 1284.0 | 430140 | 1.6462          | {'f1': 0.8860927152317881} | {'accuracy': 0.835091083413231}  |
| 0.0017        | 1285.0 | 430475 | 1.6180          | {'f1': 0.8874083944037308} | {'accuracy': 0.837967401725791}  |
| 0.0024        | 1286.0 | 430810 | 1.7098          | {'f1': 0.8816219751471549} | {'accuracy': 0.8264621284755513} |
| 0.0015        | 1287.0 | 431145 | 1.6675          | {'f1': 0.8856382978723404} | {'accuracy': 0.835091083413231}  |
| 0.0015        | 1288.0 | 431480 | 1.6877          | {'f1': 0.8844884488448844} | {'accuracy': 0.8322147651006712} |
| 0.0033        | 1289.0 | 431815 | 1.7807          | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138}  |
| 0.0045        | 1290.0 | 432150 | 1.7126          | {'f1': 0.8797920727745288} | {'accuracy': 0.822627037392138}  |
| 0.0045        | 1291.0 | 432485 | 1.6483          | {'f1': 0.8806262230919765} | {'accuracy': 0.8245445829338447} |
| 0.0055        | 1292.0 | 432820 | 1.7432          | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0035        | 1293.0 | 433155 | 1.6595          | {'f1': 0.8797920727745288} | {'accuracy': 0.822627037392138}  |
| 0.0035        | 1294.0 | 433490 | 1.6534          | {'f1': 0.8802083333333333} | {'accuracy': 0.8235858101629914} |
| 0.0024        | 1295.0 | 433825 | 1.5400          | {'f1': 0.8856382978723404} | {'accuracy': 0.835091083413231}  |
| 0.0025        | 1296.0 | 434160 | 1.5690          | {'f1': 0.8863936591809775} | {'accuracy': 0.835091083413231}  |
| 0.0025        | 1297.0 | 434495 | 1.6632          | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0019        | 1298.0 | 434830 | 1.6372          | {'f1': 0.8832354859752121} | {'accuracy': 0.8283796740172579} |
| 0.0021        | 1299.0 | 435165 | 1.6924          | {'f1': 0.881399870382372}  | {'accuracy': 0.8245445829338447} |
| 0.002         | 1300.0 | 435500 | 1.6588          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.002         | 1301.0 | 435835 | 1.6316          | {'f1': 0.8832020997375328} | {'accuracy': 0.8293384467881112} |
| 0.0016        | 1302.0 | 436170 | 1.5885          | {'f1': 0.8866930171277998} | {'accuracy': 0.835091083413231}  |
| 0.0025        | 1303.0 | 436505 | 1.6519          | {'f1': 0.8839634941329856} | {'accuracy': 0.8293384467881112} |
| 0.0025        | 1304.0 | 436840 | 1.6364          | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.0027        | 1305.0 | 437175 | 1.6846          | {'f1': 0.8851395197923426} | {'accuracy': 0.8302972195589645} |
| 0.0019        | 1306.0 | 437510 | 1.6704          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0019        | 1307.0 | 437845 | 1.6993          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0019        | 1308.0 | 438180 | 1.6955          | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0017        | 1309.0 | 438515 | 1.6855          | {'f1': 0.88671875}         | {'accuracy': 0.8331735378715245} |
| 0.0017        | 1310.0 | 438850 | 1.6172          | {'f1': 0.8877146631439895} | {'accuracy': 0.8370086289549377} |
| 0.0021        | 1311.0 | 439185 | 1.7192          | {'f1': 0.8844415752098128} | {'accuracy': 0.8283796740172579} |
| 0.0035        | 1312.0 | 439520 | 1.6323          | {'f1': 0.8875816993464052} | {'accuracy': 0.835091083413231}  |
| 0.0035        | 1313.0 | 439855 | 1.6781          | {'f1': 0.8825806451612904} | {'accuracy': 0.825503355704698}  |
| 0.0049        | 1314.0 | 440190 | 1.6834          | {'f1': 0.8812903225806452} | {'accuracy': 0.8235858101629914} |
| 0.0016        | 1315.0 | 440525 | 1.6194          | {'f1': 0.8852459016393444} | {'accuracy': 0.8322147651006712} |
| 0.0016        | 1316.0 | 440860 | 1.6558          | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0027        | 1317.0 | 441195 | 1.6291          | {'f1': 0.8875816993464052} | {'accuracy': 0.835091083413231}  |
| 0.0026        | 1318.0 | 441530 | 1.6082          | {'f1': 0.8880157170923381} | {'accuracy': 0.8360498561840843} |
| 0.0026        | 1319.0 | 441865 | 1.6212          | {'f1': 0.8871391076115486} | {'accuracy': 0.835091083413231}  |
| 0.0017        | 1320.0 | 442200 | 1.6341          | {'f1': 0.8853754940711462} | {'accuracy': 0.8331735378715245} |
| 0.0026        | 1321.0 | 442535 | 1.6350          | {'f1': 0.8847926267281107} | {'accuracy': 0.8322147651006712} |
| 0.0026        | 1322.0 | 442870 | 1.7476          | {'f1': 0.8842921784098255} | {'accuracy': 0.8283796740172579} |
| 0.0021        | 1323.0 | 443205 | 1.6486          | {'f1': 0.8831683168316831} | {'accuracy': 0.8302972195589645} |
| 0.0023        | 1324.0 | 443540 | 1.6302          | {'f1': 0.8834110592938041} | {'accuracy': 0.8322147651006712} |
| 0.0023        | 1325.0 | 443875 | 1.6211          | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.0065        | 1326.0 | 444210 | 1.6836          | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.0017        | 1327.0 | 444545 | 1.7053          | {'f1': 0.8837209302325582} | {'accuracy': 0.8274209012464045} |
| 0.0017        | 1328.0 | 444880 | 1.6363          | {'f1': 0.8864229765013055} | {'accuracy': 0.8331735378715245} |
| 0.0018        | 1329.0 | 445215 | 1.6145          | {'f1': 0.8849206349206349} | {'accuracy': 0.8331735378715245} |
| 0.0016        | 1330.0 | 445550 | 1.6352          | {'f1': 0.8885959129861568} | {'accuracy': 0.837967401725791}  |
| 0.0016        | 1331.0 | 445885 | 1.7131          | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0016        | 1332.0 | 446220 | 1.7232          | {'f1': 0.88296488946684}   | {'accuracy': 0.8274209012464045} |
| 0.0016        | 1333.0 | 446555 | 1.7374          | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0016        | 1334.0 | 446890 | 1.7155          | {'f1': 0.88296488946684}   | {'accuracy': 0.8274209012464045} |
| 0.0023        | 1335.0 | 447225 | 1.6580          | {'f1': 0.8855263157894737} | {'accuracy': 0.8331735378715245} |
| 0.0019        | 1336.0 | 447560 | 1.7162          | {'f1': 0.8852672750977836} | {'accuracy': 0.8312559923298178} |
| 0.0019        | 1337.0 | 447895 | 1.6501          | {'f1': 0.8871287128712871} | {'accuracy': 0.8360498561840843} |
| 0.002         | 1338.0 | 448230 | 1.7218          | {'f1': 0.884967320261438}  | {'accuracy': 0.8312559923298178} |
| 0.0025        | 1339.0 | 448565 | 1.6827          | {'f1': 0.8855263157894737} | {'accuracy': 0.8331735378715245} |
| 0.0025        | 1340.0 | 448900 | 1.6526          | {'f1': 0.8865435356200528} | {'accuracy': 0.835091083413231}  |
| 0.0029        | 1341.0 | 449235 | 1.7285          | {'f1': 0.882084690553746}  | {'accuracy': 0.8264621284755513} |
| 0.0025        | 1342.0 | 449570 | 1.6702          | {'f1': 0.8846407382992749} | {'accuracy': 0.8322147651006712} |
| 0.0025        | 1343.0 | 449905 | 1.6957          | {'f1': 0.8828947368421053} | {'accuracy': 0.8293384467881112} |
| 0.0039        | 1344.0 | 450240 | 1.7932          | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0014        | 1345.0 | 450575 | 1.7826          | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0014        | 1346.0 | 450910 | 1.7107          | {'f1': 0.8847926267281107} | {'accuracy': 0.8322147651006712} |
| 0.0018        | 1347.0 | 451245 | 1.7978          | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0024        | 1348.0 | 451580 | 1.7309          | {'f1': 0.8852459016393444} | {'accuracy': 0.8322147651006712} |
| 0.0024        | 1349.0 | 451915 | 1.7335          | {'f1': 0.8875816993464052} | {'accuracy': 0.835091083413231}  |
| 0.0036        | 1350.0 | 452250 | 1.8606          | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.004         | 1351.0 | 452585 | 1.7247          | {'f1': 0.8870019595035924} | {'accuracy': 0.8341323106423778} |
| 0.004         | 1352.0 | 452920 | 1.7836          | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0024        | 1353.0 | 453255 | 1.6424          | {'f1': 0.8852023888520238} | {'accuracy': 0.8341323106423778} |
| 0.0032        | 1354.0 | 453590 | 1.8401          | {'f1': 0.8786127167630058} | {'accuracy': 0.8187919463087249} |
| 0.0032        | 1355.0 | 453925 | 1.7008          | {'f1': 0.8871391076115486} | {'accuracy': 0.835091083413231}  |
| 0.0022        | 1356.0 | 454260 | 1.8063          | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.0015        | 1357.0 | 454595 | 1.7254          | {'f1': 0.886408404464872}  | {'accuracy': 0.8341323106423778} |
| 0.0015        | 1358.0 | 454930 | 1.7392          | {'f1': 0.8871391076115486} | {'accuracy': 0.835091083413231}  |
| 0.0015        | 1359.0 | 455265 | 1.7593          | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.0035        | 1360.0 | 455600 | 1.7062          | {'f1': 0.8850952068286276} | {'accuracy': 0.8322147651006712} |
| 0.0035        | 1361.0 | 455935 | 1.8376          | {'f1': 0.8771704180064309} | {'accuracy': 0.8168744007670182} |
| 0.0015        | 1362.0 | 456270 | 1.8939          | {'f1': 0.8753993610223643} | {'accuracy': 0.8130393096836049} |
| 0.002         | 1363.0 | 456605 | 1.8197          | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.002         | 1364.0 | 456940 | 1.6470          | {'f1': 0.8877146631439895} | {'accuracy': 0.8370086289549377} |
| 0.0037        | 1365.0 | 457275 | 1.6349          | {'f1': 0.8896232650363516} | {'accuracy': 0.8398849472674976} |
| 0.0015        | 1366.0 | 457610 | 1.8006          | {'f1': 0.8822768434670116} | {'accuracy': 0.825503355704698}  |
| 0.0015        | 1367.0 | 457945 | 1.6868          | {'f1': 0.8883048620236531} | {'accuracy': 0.8370086289549377} |
| 0.0021        | 1368.0 | 458280 | 1.7300          | {'f1': 0.8855461085676913} | {'accuracy': 0.8322147651006712} |
| 0.0016        | 1369.0 | 458615 | 1.6886          | {'f1': 0.8906455862977603} | {'accuracy': 0.840843720038351}  |
| 0.0016        | 1370.0 | 458950 | 1.7364          | {'f1': 0.8878748370273793} | {'accuracy': 0.835091083413231}  |
| 0.004         | 1371.0 | 459285 | 1.6351          | {'f1': 0.8906560636182903} | {'accuracy': 0.8418024928092043} |
| 0.0026        | 1372.0 | 459620 | 1.6329          | {'f1': 0.8906560636182903} | {'accuracy': 0.8418024928092043} |
| 0.0026        | 1373.0 | 459955 | 1.7231          | {'f1': 0.8859934853420196} | {'accuracy': 0.8322147651006712} |
| 0.0022        | 1374.0 | 460290 | 1.6809          | {'f1': 0.8885959129861568} | {'accuracy': 0.837967401725791}  |
| 0.0016        | 1375.0 | 460625 | 1.7033          | {'f1': 0.886259040105194}  | {'accuracy': 0.8341323106423778} |
| 0.0016        | 1376.0 | 460960 | 1.8204          | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0034        | 1377.0 | 461295 | 1.8108          | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0028        | 1378.0 | 461630 | 1.6920          | {'f1': 0.888597640891219}  | {'accuracy': 0.8370086289549377} |
| 0.0028        | 1379.0 | 461965 | 1.7447          | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0014        | 1380.0 | 462300 | 1.7324          | {'f1': 0.8858447488584474} | {'accuracy': 0.8322147651006712} |
| 0.0042        | 1381.0 | 462635 | 1.7074          | {'f1': 0.8897637795275591} | {'accuracy': 0.8389261744966443} |
| 0.0042        | 1382.0 | 462970 | 1.7171          | {'f1': 0.884967320261438}  | {'accuracy': 0.8312559923298178} |
| 0.0034        | 1383.0 | 463305 | 1.6497          | {'f1': 0.8877146631439895} | {'accuracy': 0.8370086289549377} |
| 0.0026        | 1384.0 | 463640 | 1.7298          | {'f1': 0.8828125}          | {'accuracy': 0.8274209012464045} |
| 0.0026        | 1385.0 | 463975 | 1.7965          | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.0016        | 1386.0 | 464310 | 1.6762          | {'f1': 0.8877146631439895} | {'accuracy': 0.8370086289549377} |
| 0.0023        | 1387.0 | 464645 | 1.6887          | {'f1': 0.8844621513944223} | {'accuracy': 0.8331735378715245} |
| 0.0023        | 1388.0 | 464980 | 1.6969          | {'f1': 0.8890347997373604} | {'accuracy': 0.837967401725791}  |
| 0.0025        | 1389.0 | 465315 | 1.7113          | {'f1': 0.8878688524590164} | {'accuracy': 0.8360498561840843} |
| 0.0022        | 1390.0 | 465650 | 1.7995          | {'f1': 0.8837209302325582} | {'accuracy': 0.8274209012464045} |
| 0.0022        | 1391.0 | 465985 | 1.6902          | {'f1': 0.8863936591809775} | {'accuracy': 0.835091083413231}  |
| 0.0027        | 1392.0 | 466320 | 1.7445          | {'f1': 0.8839634941329856} | {'accuracy': 0.8293384467881112} |
| 0.0025        | 1393.0 | 466655 | 1.8855          | {'f1': 0.8782051282051283} | {'accuracy': 0.8178331735378715} |
| 0.0025        | 1394.0 | 466990 | 1.7956          | {'f1': 0.8832684824902725} | {'accuracy': 0.8274209012464045} |
| 0.003         | 1395.0 | 467325 | 1.7950          | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698}  |
| 0.0023        | 1396.0 | 467660 | 1.7919          | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0023        | 1397.0 | 467995 | 1.9467          | {'f1': 0.8759590792838876} | {'accuracy': 0.8139980824544583} |
| 0.0033        | 1398.0 | 468330 | 1.7958          | {'f1': 0.8831504196255648} | {'accuracy': 0.8264621284755513} |
| 0.005         | 1399.0 | 468665 | 1.6945          | {'f1': 0.8858447488584474} | {'accuracy': 0.8322147651006712} |
| 0.0031        | 1400.0 | 469000 | 1.7097          | {'f1': 0.8858447488584474} | {'accuracy': 0.8322147651006712} |
| 0.0031        | 1401.0 | 469335 | 1.7022          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0016        | 1402.0 | 469670 | 1.7029          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0062        | 1403.0 | 470005 | 1.6040          | {'f1': 0.8844621513944223} | {'accuracy': 0.8331735378715245} |
| 0.0062        | 1404.0 | 470340 | 1.6532          | {'f1': 0.8856767411300921} | {'accuracy': 0.8331735378715245} |
| 0.0014        | 1405.0 | 470675 | 1.6692          | {'f1': 0.886408404464872}  | {'accuracy': 0.8341323106423778} |
| 0.0022        | 1406.0 | 471010 | 1.7241          | {'f1': 0.8855656697009102} | {'accuracy': 0.8312559923298178} |
| 0.0022        | 1407.0 | 471345 | 1.7169          | {'f1': 0.8872964169381107} | {'accuracy': 0.8341323106423778} |
| 0.0026        | 1408.0 | 471680 | 1.6779          | {'f1': 0.885396201702685}  | {'accuracy': 0.8322147651006712} |
| 0.0032        | 1409.0 | 472015 | 1.6913          | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.0032        | 1410.0 | 472350 | 1.7031          | {'f1': 0.8852672750977836} | {'accuracy': 0.8312559923298178} |
| 0.0014        | 1411.0 | 472685 | 1.6634          | {'f1': 0.8883048620236531} | {'accuracy': 0.8370086289549377} |
| 0.0019        | 1412.0 | 473020 | 1.6079          | {'f1': 0.884589726484323}  | {'accuracy': 0.8341323106423778} |
| 0.0019        | 1413.0 | 473355 | 1.6821          | {'f1': 0.8872870249017039} | {'accuracy': 0.835091083413231}  |
| 0.0031        | 1414.0 | 473690 | 1.6891          | {'f1': 0.8872870249017039} | {'accuracy': 0.835091083413231}  |
| 0.002         | 1415.0 | 474025 | 1.7140          | {'f1': 0.8868541530412034} | {'accuracy': 0.8341323106423778} |
| 0.002         | 1416.0 | 474360 | 1.7157          | {'f1': 0.8868541530412034} | {'accuracy': 0.8341323106423778} |
| 0.0017        | 1417.0 | 474695 | 1.7438          | {'f1': 0.8859934853420196} | {'accuracy': 0.8322147651006712} |
| 0.0028        | 1418.0 | 475030 | 1.7873          | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0028        | 1419.0 | 475365 | 1.7354          | {'f1': 0.887434554973822}  | {'accuracy': 0.835091083413231}  |
| 0.0016        | 1420.0 | 475700 | 1.7172          | {'f1': 0.8835978835978837} | {'accuracy': 0.8312559923298178} |
| 0.0029        | 1421.0 | 476035 | 1.8101          | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.0029        | 1422.0 | 476370 | 1.7355          | {'f1': 0.8839344262295081} | {'accuracy': 0.8302972195589645} |
| 0.0019        | 1423.0 | 476705 | 1.7820          | {'f1': 0.88296488946684}   | {'accuracy': 0.8274209012464045} |
| 0.0017        | 1424.0 | 477040 | 1.7999          | {'f1': 0.880103694102398}  | {'accuracy': 0.822627037392138}  |
| 0.0017        | 1425.0 | 477375 | 1.8347          | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698}  |
| 0.0014        | 1426.0 | 477710 | 1.7870          | {'f1': 0.8842380640941793} | {'accuracy': 0.8302972195589645} |
| 0.0015        | 1427.0 | 478045 | 1.7585          | {'f1': 0.8843626806833115} | {'accuracy': 0.8312559923298178} |
| 0.0015        | 1428.0 | 478380 | 1.6916          | {'f1': 0.8825481088254811} | {'accuracy': 0.8302972195589645} |
| 0.0027        | 1429.0 | 478715 | 1.7298          | {'f1': 0.8849441157133465} | {'accuracy': 0.8322147651006712} |
| 0.0025        | 1430.0 | 479050 | 1.9056          | {'f1': 0.8747591522157996} | {'accuracy': 0.8130393096836049} |
| 0.0025        | 1431.0 | 479385 | 1.7934          | {'f1': 0.8835393623942747} | {'accuracy': 0.8283796740172579} |
| 0.0034        | 1432.0 | 479720 | 1.7889          | {'f1': 0.8841145833333333} | {'accuracy': 0.8293384467881112} |
| 0.0023        | 1433.0 | 480055 | 1.7758          | {'f1': 0.8830829523187459} | {'accuracy': 0.8283796740172579} |
| 0.0023        | 1434.0 | 480390 | 1.7555          | {'f1': 0.884967320261438}  | {'accuracy': 0.8312559923298178} |
| 0.0023        | 1435.0 | 480725 | 1.8154          | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0017        | 1436.0 | 481060 | 1.7982          | {'f1': 0.8828125}          | {'accuracy': 0.8274209012464045} |
| 0.0017        | 1437.0 | 481395 | 1.7644          | {'f1': 0.8875816993464052} | {'accuracy': 0.835091083413231}  |
| 0.0028        | 1438.0 | 481730 | 1.8388          | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.0017        | 1439.0 | 482065 | 1.8311          | {'f1': 0.8779857972885732} | {'accuracy': 0.8187919463087249} |
| 0.0017        | 1440.0 | 482400 | 1.7660          | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.0027        | 1441.0 | 482735 | 1.7529          | {'f1': 0.8855461085676913} | {'accuracy': 0.8322147651006712} |
| 0.0019        | 1442.0 | 483070 | 1.7477          | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.0019        | 1443.0 | 483405 | 1.7093          | {'f1': 0.8869908015768725} | {'accuracy': 0.835091083413231}  |
| 0.0022        | 1444.0 | 483740 | 1.6986          | {'f1': 0.8875739644970414} | {'accuracy': 0.8360498561840843} |
| 0.0034        | 1445.0 | 484075 | 1.7028          | {'f1': 0.8861092824226466} | {'accuracy': 0.8341323106423778} |
| 0.0034        | 1446.0 | 484410 | 1.7117          | {'f1': 0.886259040105194}  | {'accuracy': 0.8341323106423778} |
| 0.0016        | 1447.0 | 484745 | 1.8179          | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0026        | 1448.0 | 485080 | 1.6858          | {'f1': 0.8839050131926122} | {'accuracy': 0.8312559923298178} |
| 0.0026        | 1449.0 | 485415 | 1.6966          | {'f1': 0.8853754940711462} | {'accuracy': 0.8331735378715245} |
| 0.0017        | 1450.0 | 485750 | 1.7809          | {'f1': 0.8832684824902725} | {'accuracy': 0.8274209012464045} |
| 0.0028        | 1451.0 | 486085 | 1.6901          | {'f1': 0.8847926267281107} | {'accuracy': 0.8322147651006712} |
| 0.0028        | 1452.0 | 486420 | 1.6931          | {'f1': 0.8861092824226466} | {'accuracy': 0.8341323106423778} |
| 0.0037        | 1453.0 | 486755 | 1.6848          | {'f1': 0.883322346736981}  | {'accuracy': 0.8302972195589645} |
| 0.0027        | 1454.0 | 487090 | 1.7625          | {'f1': 0.8857142857142858} | {'accuracy': 0.8312559923298178} |
| 0.0027        | 1455.0 | 487425 | 1.7548          | {'f1': 0.881664499349805}  | {'accuracy': 0.825503355704698}  |
| 0.0029        | 1456.0 | 487760 | 1.6995          | {'f1': 0.8850952068286276} | {'accuracy': 0.8322147651006712} |
| 0.0017        | 1457.0 | 488095 | 1.7584          | {'f1': 0.8828125}          | {'accuracy': 0.8274209012464045} |
| 0.0017        | 1458.0 | 488430 | 1.8234          | {'f1': 0.8801546391752577} | {'accuracy': 0.8216682646212847} |
| 0.0022        | 1459.0 | 488765 | 1.8236          | {'f1': 0.881859264041317}  | {'accuracy': 0.8245445829338447} |
| 0.0015        | 1460.0 | 489100 | 1.6924          | {'f1': 0.8859591298615689} | {'accuracy': 0.8341323106423778} |
| 0.0015        | 1461.0 | 489435 | 1.7238          | {'f1': 0.8865573770491804} | {'accuracy': 0.8341323106423778} |
| 0.0018        | 1462.0 | 489770 | 1.6926          | {'f1': 0.8861092824226466} | {'accuracy': 0.8341323106423778} |
| 0.0028        | 1463.0 | 490105 | 1.6881          | {'f1': 0.8872775214238628} | {'accuracy': 0.8360498561840843} |
| 0.0028        | 1464.0 | 490440 | 1.7862          | {'f1': 0.8822768434670116} | {'accuracy': 0.825503355704698}  |
| 0.0021        | 1465.0 | 490775 | 1.6801          | {'f1': 0.8880105401844532} | {'accuracy': 0.8370086289549377} |
| 0.0022        | 1466.0 | 491110 | 1.6993          | {'f1': 0.8880157170923381} | {'accuracy': 0.8360498561840843} |
| 0.0022        | 1467.0 | 491445 | 1.7852          | {'f1': 0.8848641655886158} | {'accuracy': 0.8293384467881112} |
| 0.0018        | 1468.0 | 491780 | 1.6797          | {'f1': 0.8878688524590164} | {'accuracy': 0.8360498561840843} |
| 0.0019        | 1469.0 | 492115 | 1.6253          | {'f1': 0.8877146631439895} | {'accuracy': 0.8370086289549377} |
| 0.0019        | 1470.0 | 492450 | 1.6399          | {'f1': 0.8899143045484509} | {'accuracy': 0.8398849472674976} |
| 0.0015        | 1471.0 | 492785 | 1.5905          | {'f1': 0.8842530282637953} | {'accuracy': 0.835091083413231}  |
| 0.0032        | 1472.0 | 493120 | 1.6880          | {'f1': 0.8859764089121887} | {'accuracy': 0.8331735378715245} |
| 0.0032        | 1473.0 | 493455 | 1.6965          | {'f1': 0.8868541530412034} | {'accuracy': 0.8341323106423778} |
| 0.0013        | 1474.0 | 493790 | 1.7186          | {'f1': 0.8872964169381107} | {'accuracy': 0.8341323106423778} |
| 0.0017        | 1475.0 | 494125 | 1.9267          | {'f1': 0.8773946360153257} | {'accuracy': 0.8159156279961649} |
| 0.0017        | 1476.0 | 494460 | 1.7098          | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0025        | 1477.0 | 494795 | 1.7272          | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0017        | 1478.0 | 495130 | 1.7464          | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0017        | 1479.0 | 495465 | 1.7622          | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0037        | 1480.0 | 495800 | 1.7577          | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.0028        | 1481.0 | 496135 | 1.6990          | {'f1': 0.8867059593975114} | {'accuracy': 0.8341323106423778} |
| 0.0028        | 1482.0 | 496470 | 1.6621          | {'f1': 0.8874172185430463} | {'accuracy': 0.8370086289549377} |
| 0.0025        | 1483.0 | 496805 | 1.6577          | {'f1': 0.8866799204771372} | {'accuracy': 0.8360498561840843} |
| 0.0014        | 1484.0 | 497140 | 1.6657          | {'f1': 0.886829913964262}  | {'accuracy': 0.8360498561840843} |
| 0.0014        | 1485.0 | 497475 | 1.6798          | {'f1': 0.8862433862433863} | {'accuracy': 0.835091083413231}  |
| 0.0016        | 1486.0 | 497810 | 1.7069          | {'f1': 0.8852242744063324} | {'accuracy': 0.8331735378715245} |
| 0.0017        | 1487.0 | 498145 | 1.7363          | {'f1': 0.8871391076115486} | {'accuracy': 0.835091083413231}  |
| 0.0017        | 1488.0 | 498480 | 1.7298          | {'f1': 0.8855461085676913} | {'accuracy': 0.8322147651006712} |
| 0.0026        | 1489.0 | 498815 | 1.7036          | {'f1': 0.8828590337524818} | {'accuracy': 0.8302972195589645} |
| 0.0016        | 1490.0 | 499150 | 1.7324          | {'f1': 0.8839344262295081} | {'accuracy': 0.8302972195589645} |
| 0.0016        | 1491.0 | 499485 | 1.6758          | {'f1': 0.882786336235767}  | {'accuracy': 0.8322147651006712} |
| 0.0016        | 1492.0 | 499820 | 1.7096          | {'f1': 0.8812209688122097} | {'accuracy': 0.8283796740172579} |
| 0.0016        | 1493.0 | 500155 | 1.7135          | {'f1': 0.8812209688122097} | {'accuracy': 0.8283796740172579} |
| 0.0016        | 1494.0 | 500490 | 1.7094          | {'f1': 0.8849206349206349} | {'accuracy': 0.8331735378715245} |
| 0.0023        | 1495.0 | 500825 | 1.8905          | {'f1': 0.8798972382787411} | {'accuracy': 0.8207094918504314} |
| 0.003         | 1496.0 | 501160 | 1.8150          | {'f1': 0.8811369509043928} | {'accuracy': 0.8235858101629914} |
| 0.003         | 1497.0 | 501495 | 1.8051          | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0023        | 1498.0 | 501830 | 1.7485          | {'f1': 0.8845144356955381} | {'accuracy': 0.8312559923298178} |
| 0.0027        | 1499.0 | 502165 | 1.7361          | {'f1': 0.8839050131926122} | {'accuracy': 0.8312559923298178} |
| 0.0023        | 1500.0 | 502500 | 1.7502          | {'f1': 0.8856767411300921} | {'accuracy': 0.8331735378715245} |
| 0.0023        | 1501.0 | 502835 | 1.8477          | {'f1': 0.881859264041317}  | {'accuracy': 0.8245445829338447} |
| 0.003         | 1502.0 | 503170 | 1.7844          | {'f1': 0.8810916179337233} | {'accuracy': 0.8245445829338447} |
| 0.0014        | 1503.0 | 503505 | 1.7397          | {'f1': 0.8859764089121887} | {'accuracy': 0.8331735378715245} |
| 0.0014        | 1504.0 | 503840 | 1.7357          | {'f1': 0.8868421052631579} | {'accuracy': 0.835091083413231}  |
| 0.0016        | 1505.0 | 504175 | 1.7151          | {'f1': 0.88433575677462}   | {'accuracy': 0.8322147651006712} |
| 0.0018        | 1506.0 | 504510 | 1.7394          | {'f1': 0.8869908015768725} | {'accuracy': 0.835091083413231}  |
| 0.0018        | 1507.0 | 504845 | 1.8398          | {'f1': 0.8827319587628866} | {'accuracy': 0.825503355704698}  |
| 0.0036        | 1508.0 | 505180 | 1.7135          | {'f1': 0.8897637795275591} | {'accuracy': 0.8389261744966443} |
| 0.003         | 1509.0 | 505515 | 1.7473          | {'f1': 0.8912052117263843} | {'accuracy': 0.8398849472674976} |
| 0.003         | 1510.0 | 505850 | 1.7262          | {'f1': 0.8904823989569751} | {'accuracy': 0.8389261744966443} |
| 0.0027        | 1511.0 | 506185 | 1.7378          | {'f1': 0.8900455432661027} | {'accuracy': 0.837967401725791}  |
| 0.0017        | 1512.0 | 506520 | 1.7261          | {'f1': 0.8894702419882277} | {'accuracy': 0.837967401725791}  |
| 0.0017        | 1513.0 | 506855 | 1.7393          | {'f1': 0.8904823989569751} | {'accuracy': 0.8389261744966443} |
| 0.0013        | 1514.0 | 507190 | 1.7156          | {'f1': 0.8859591298615689} | {'accuracy': 0.8341323106423778} |
| 0.0024        | 1515.0 | 507525 | 1.7347          | {'f1': 0.8865573770491804} | {'accuracy': 0.8341323106423778} |
| 0.0024        | 1516.0 | 507860 | 1.7451          | {'f1': 0.8871391076115486} | {'accuracy': 0.835091083413231}  |
| 0.0036        | 1517.0 | 508195 | 1.7153          | {'f1': 0.8793103448275862} | {'accuracy': 0.825503355704698}  |
| 0.0019        | 1518.0 | 508530 | 1.7500          | {'f1': 0.8843626806833115} | {'accuracy': 0.8312559923298178} |
| 0.0019        | 1519.0 | 508865 | 1.7322          | {'f1': 0.8793565683646113} | {'accuracy': 0.8274209012464045} |
| 0.0023        | 1520.0 | 509200 | 1.7401          | {'f1': 0.8800530152418821} | {'accuracy': 0.8264621284755513} |
| 0.0025        | 1521.0 | 509535 | 1.7824          | {'f1': 0.8841145833333333} | {'accuracy': 0.8293384467881112} |
| 0.0025        | 1522.0 | 509870 | 1.7498          | {'f1': 0.8829300196206671} | {'accuracy': 0.8283796740172579} |
| 0.0024        | 1523.0 | 510205 | 1.7878          | {'f1': 0.8851395197923426} | {'accuracy': 0.8302972195589645} |
| 0.0025        | 1524.0 | 510540 | 1.7520          | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.0025        | 1525.0 | 510875 | 1.7280          | {'f1': 0.8788282290279628} | {'accuracy': 0.825503355704698}  |
| 0.0015        | 1526.0 | 511210 | 1.7614          | {'f1': 0.8846657929226737} | {'accuracy': 0.8312559923298178} |
| 0.0021        | 1527.0 | 511545 | 1.7547          | {'f1': 0.8846657929226737} | {'accuracy': 0.8312559923298178} |
| 0.0021        | 1528.0 | 511880 | 1.7802          | {'f1': 0.8859934853420196} | {'accuracy': 0.8322147651006712} |
| 0.0021        | 1529.0 | 512215 | 1.7649          | {'f1': 0.884967320261438}  | {'accuracy': 0.8312559923298178} |
| 0.0021        | 1530.0 | 512550 | 1.7931          | {'f1': 0.8857142857142858} | {'accuracy': 0.8312559923298178} |
| 0.0021        | 1531.0 | 512885 | 1.8428          | {'f1': 0.8842921784098255} | {'accuracy': 0.8283796740172579} |
| 0.0013        | 1532.0 | 513220 | 1.7752          | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0019        | 1533.0 | 513555 | 1.8193          | {'f1': 0.8857142857142858} | {'accuracy': 0.8312559923298178} |
| 0.0019        | 1534.0 | 513890 | 1.7897          | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0021        | 1535.0 | 514225 | 1.7640          | {'f1': 0.8829300196206671} | {'accuracy': 0.8283796740172579} |
| 0.0014        | 1536.0 | 514560 | 1.7952          | {'f1': 0.8835393623942747} | {'accuracy': 0.8283796740172579} |
| 0.0014        | 1537.0 | 514895 | 1.7696          | {'f1': 0.8832354859752121} | {'accuracy': 0.8283796740172579} |
| 0.0046        | 1538.0 | 515230 | 1.7476          | {'f1': 0.8826229508196721} | {'accuracy': 0.8283796740172579} |
| 0.0026        | 1539.0 | 515565 | 1.7701          | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.0026        | 1540.0 | 515900 | 1.7135          | {'f1': 0.8813333333333333} | {'accuracy': 0.8293384467881112} |
| 0.0023        | 1541.0 | 516235 | 1.7216          | {'f1': 0.8852242744063324} | {'accuracy': 0.8331735378715245} |
| 0.0015        | 1542.0 | 516570 | 1.7327          | {'f1': 0.8834759710335748} | {'accuracy': 0.8302972195589645} |
| 0.0015        | 1543.0 | 516905 | 1.9153          | {'f1': 0.8810289389067525} | {'accuracy': 0.822627037392138}  |
| 0.0023        | 1544.0 | 517240 | 1.9283          | {'f1': 0.8814862267777066} | {'accuracy': 0.822627037392138}  |
| 0.0013        | 1545.0 | 517575 | 1.7775          | {'f1': 0.8835393623942747} | {'accuracy': 0.8283796740172579} |
| 0.0013        | 1546.0 | 517910 | 1.7782          | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0021        | 1547.0 | 518245 | 1.7321          | {'f1': 0.8839050131926122} | {'accuracy': 0.8312559923298178} |
| 0.0037        | 1548.0 | 518580 | 1.7306          | {'f1': 0.8824306472919419} | {'accuracy': 0.8293384467881112} |
| 0.0037        | 1549.0 | 518915 | 1.7853          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0022        | 1550.0 | 519250 | 1.7888          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0022        | 1551.0 | 519585 | 1.7722          | {'f1': 0.8836601307189542} | {'accuracy': 0.8293384467881112} |
| 0.0022        | 1552.0 | 519920 | 1.8264          | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0022        | 1553.0 | 520255 | 1.8034          | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0017        | 1554.0 | 520590 | 1.8151          | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0017        | 1555.0 | 520925 | 1.7742          | {'f1': 0.8823529411764706} | {'accuracy': 0.8274209012464045} |
| 0.0018        | 1556.0 | 521260 | 1.7667          | {'f1': 0.8814669286182057} | {'accuracy': 0.8264621284755513} |
| 0.0042        | 1557.0 | 521595 | 1.8058          | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0042        | 1558.0 | 521930 | 1.8213          | {'f1': 0.8847150259067358} | {'accuracy': 0.8293384467881112} |
| 0.0018        | 1559.0 | 522265 | 1.8251          | {'f1': 0.8850129198966409} | {'accuracy': 0.8293384467881112} |
| 0.0022        | 1560.0 | 522600 | 1.8970          | {'f1': 0.8864656831302116} | {'accuracy': 0.8302972195589645} |
| 0.0022        | 1561.0 | 522935 | 1.7577          | {'f1': 0.881311475409836}  | {'accuracy': 0.8264621284755513} |
| 0.0022        | 1562.0 | 523270 | 1.7610          | {'f1': 0.8817345597897503} | {'accuracy': 0.8274209012464045} |
| 0.0018        | 1563.0 | 523605 | 1.8030          | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138}  |
| 0.0018        | 1564.0 | 523940 | 1.8052          | {'f1': 0.880674448767834}  | {'accuracy': 0.8235858101629914} |
| 0.0016        | 1565.0 | 524275 | 1.8718          | {'f1': 0.8817480719794344} | {'accuracy': 0.8235858101629914} |
| 0.0028        | 1566.0 | 524610 | 1.7997          | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0028        | 1567.0 | 524945 | 1.8031          | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0019        | 1568.0 | 525280 | 1.7343          | {'f1': 0.8827037773359842} | {'accuracy': 0.8302972195589645} |
| 0.0017        | 1569.0 | 525615 | 1.7383          | {'f1': 0.8818481848184818} | {'accuracy': 0.8283796740172579} |
| 0.0017        | 1570.0 | 525950 | 1.7713          | {'f1': 0.8832354859752121} | {'accuracy': 0.8283796740172579} |
| 0.0027        | 1571.0 | 526285 | 1.7856          | {'f1': 0.8813559322033898} | {'accuracy': 0.825503355704698}  |
| 0.0025        | 1572.0 | 526620 | 1.7484          | {'f1': 0.8849441157133465} | {'accuracy': 0.8322147651006712} |
| 0.0025        | 1573.0 | 526955 | 1.7433          | {'f1': 0.8847926267281107} | {'accuracy': 0.8322147651006712} |
| 0.0015        | 1574.0 | 527290 | 1.7106          | {'f1': 0.885506287227002}  | {'accuracy': 0.8341323106423778} |
| 0.002         | 1575.0 | 527625 | 1.7500          | {'f1': 0.8843626806833115} | {'accuracy': 0.8312559923298178} |
| 0.002         | 1576.0 | 527960 | 1.7366          | {'f1': 0.8840579710144927} | {'accuracy': 0.8312559923298178} |
| 0.0018        | 1577.0 | 528295 | 1.8085          | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698}  |
| 0.0025        | 1578.0 | 528630 | 1.8183          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0025        | 1579.0 | 528965 | 1.8005          | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0016        | 1580.0 | 529300 | 1.8099          | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.0016        | 1581.0 | 529635 | 1.8000          | {'f1': 0.8832354859752121} | {'accuracy': 0.8283796740172579} |
| 0.0016        | 1582.0 | 529970 | 1.7656          | {'f1': 0.8858267716535433} | {'accuracy': 0.8331735378715245} |
| 0.0018        | 1583.0 | 530305 | 1.7619          | {'f1': 0.8875739644970414} | {'accuracy': 0.8360498561840843} |
| 0.0027        | 1584.0 | 530640 | 1.8659          | {'f1': 0.8838709677419355} | {'accuracy': 0.8274209012464045} |
| 0.0027        | 1585.0 | 530975 | 1.9368          | {'f1': 0.8802049967969251} | {'accuracy': 0.8207094918504314} |
| 0.0022        | 1586.0 | 531310 | 1.8092          | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0014        | 1587.0 | 531645 | 1.7587          | {'f1': 0.8846407382992749} | {'accuracy': 0.8322147651006712} |
| 0.0014        | 1588.0 | 531980 | 1.7593          | {'f1': 0.8844884488448844} | {'accuracy': 0.8322147651006712} |
| 0.002         | 1589.0 | 532315 | 1.7504          | {'f1': 0.8856576338400529} | {'accuracy': 0.8341323106423778} |
| 0.0029        | 1590.0 | 532650 | 1.8576          | {'f1': 0.8820116054158607} | {'accuracy': 0.8245445829338447} |
| 0.0029        | 1591.0 | 532985 | 1.8579          | {'f1': 0.8820116054158607} | {'accuracy': 0.8245445829338447} |
| 0.0028        | 1592.0 | 533320 | 1.7852          | {'f1': 0.8819308545335943} | {'accuracy': 0.8264621284755513} |
| 0.0019        | 1593.0 | 533655 | 1.8312          | {'f1': 0.8845654993514916} | {'accuracy': 0.8293384467881112} |
| 0.0019        | 1594.0 | 533990 | 1.8185          | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0015        | 1595.0 | 534325 | 1.8286          | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.0016        | 1596.0 | 534660 | 1.7812          | {'f1': 0.8846657929226737} | {'accuracy': 0.8312559923298178} |
| 0.0016        | 1597.0 | 534995 | 1.7121          | {'f1': 0.8859239492995331} | {'accuracy': 0.8360498561840843} |
| 0.0031        | 1598.0 | 535330 | 1.7505          | {'f1': 0.8865435356200528} | {'accuracy': 0.835091083413231}  |
| 0.0024        | 1599.0 | 535665 | 1.7722          | {'f1': 0.8861092824226466} | {'accuracy': 0.8341323106423778} |
| 0.0018        | 1600.0 | 536000 | 1.7991          | {'f1': 0.8855461085676913} | {'accuracy': 0.8322147651006712} |
| 0.0018        | 1601.0 | 536335 | 1.7896          | {'f1': 0.8858267716535433} | {'accuracy': 0.8331735378715245} |
| 0.0027        | 1602.0 | 536670 | 1.7567          | {'f1': 0.8850726552179656} | {'accuracy': 0.8331735378715245} |
| 0.0034        | 1603.0 | 537005 | 1.7735          | {'f1': 0.8871391076115486} | {'accuracy': 0.835091083413231}  |
| 0.0034        | 1604.0 | 537340 | 1.7833          | {'f1': 0.888597640891219}  | {'accuracy': 0.8370086289549377} |
| 0.0036        | 1605.0 | 537675 | 1.7943          | {'f1': 0.8877284595300261} | {'accuracy': 0.835091083413231}  |
| 0.0017        | 1606.0 | 538010 | 1.8458          | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.0017        | 1607.0 | 538345 | 1.8366          | {'f1': 0.8845654993514916} | {'accuracy': 0.8293384467881112} |
| 0.0018        | 1608.0 | 538680 | 1.8458          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.0019        | 1609.0 | 539015 | 1.8213          | {'f1': 0.8862897985705004} | {'accuracy': 0.8322147651006712} |
| 0.0019        | 1610.0 | 539350 | 1.8045          | {'f1': 0.8855656697009102} | {'accuracy': 0.8312559923298178} |
| 0.002         | 1611.0 | 539685 | 1.8566          | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.0012        | 1612.0 | 540020 | 1.9060          | {'f1': 0.8827674567584881} | {'accuracy': 0.8245445829338447} |
| 0.0012        | 1613.0 | 540355 | 1.8649          | {'f1': 0.8864516129032257} | {'accuracy': 0.8312559923298178} |
| 0.0023        | 1614.0 | 540690 | 1.8564          | {'f1': 0.8864516129032257} | {'accuracy': 0.8312559923298178} |
| 0.0021        | 1615.0 | 541025 | 1.7985          | {'f1': 0.8862897985705004} | {'accuracy': 0.8322147651006712} |
| 0.0021        | 1616.0 | 541360 | 1.8464          | {'f1': 0.8848641655886158} | {'accuracy': 0.8293384467881112} |
| 0.0012        | 1617.0 | 541695 | 1.8302          | {'f1': 0.8862897985705004} | {'accuracy': 0.8322147651006712} |
| 0.0028        | 1618.0 | 542030 | 1.7613          | {'f1': 0.8869908015768725} | {'accuracy': 0.835091083413231}  |
| 0.0028        | 1619.0 | 542365 | 1.7998          | {'f1': 0.8859934853420196} | {'accuracy': 0.8322147651006712} |
| 0.0029        | 1620.0 | 542700 | 1.8849          | {'f1': 0.8825806451612904} | {'accuracy': 0.825503355704698}  |
| 0.0015        | 1621.0 | 543035 | 1.8498          | {'f1': 0.8867313915857605} | {'accuracy': 0.8322147651006712} |
| 0.0015        | 1622.0 | 543370 | 1.8221          | {'f1': 0.88715953307393}   | {'accuracy': 0.8331735378715245} |
| 0.0037        | 1623.0 | 543705 | 1.7674          | {'f1': 0.8887434554973821} | {'accuracy': 0.8370086289549377} |
| 0.0019        | 1624.0 | 544040 | 1.7658          | {'f1': 0.8887434554973821} | {'accuracy': 0.8370086289549377} |
| 0.0019        | 1625.0 | 544375 | 1.7336          | {'f1': 0.8887434554973821} | {'accuracy': 0.8370086289549377} |
| 0.0032        | 1626.0 | 544710 | 1.7226          | {'f1': 0.8871391076115486} | {'accuracy': 0.835091083413231}  |
| 0.0026        | 1627.0 | 545045 | 1.6854          | {'f1': 0.8819628647214854} | {'accuracy': 0.8293384467881112} |
| 0.0026        | 1628.0 | 545380 | 1.7412          | {'f1': 0.8875816993464052} | {'accuracy': 0.835091083413231}  |
| 0.0016        | 1629.0 | 545715 | 1.7498          | {'f1': 0.8890339425587468} | {'accuracy': 0.8370086289549377} |
| 0.0016        | 1630.0 | 546050 | 1.7689          | {'f1': 0.8878748370273793} | {'accuracy': 0.835091083413231}  |
| 0.0016        | 1631.0 | 546385 | 1.7637          | {'f1': 0.8875816993464052} | {'accuracy': 0.835091083413231}  |
| 0.0027        | 1632.0 | 546720 | 1.7512          | {'f1': 0.8871391076115486} | {'accuracy': 0.835091083413231}  |
| 0.0016        | 1633.0 | 547055 | 1.7382          | {'f1': 0.8839050131926122} | {'accuracy': 0.8312559923298178} |
| 0.0016        | 1634.0 | 547390 | 1.7454          | {'f1': 0.8856767411300921} | {'accuracy': 0.8331735378715245} |
| 0.0026        | 1635.0 | 547725 | 1.7604          | {'f1': 0.8872870249017039} | {'accuracy': 0.835091083413231}  |
| 0.0015        | 1636.0 | 548060 | 1.7915          | {'f1': 0.8870019595035924} | {'accuracy': 0.8341323106423778} |
| 0.0015        | 1637.0 | 548395 | 1.7890          | {'f1': 0.8883082952318746} | {'accuracy': 0.8360498561840843} |
| 0.0018        | 1638.0 | 548730 | 1.7836          | {'f1': 0.8875816993464052} | {'accuracy': 0.835091083413231}  |
| 0.0016        | 1639.0 | 549065 | 1.7746          | {'f1': 0.8872870249017039} | {'accuracy': 0.835091083413231}  |
| 0.0016        | 1640.0 | 549400 | 1.7700          | {'f1': 0.8880157170923381} | {'accuracy': 0.8360498561840843} |
| 0.0013        | 1641.0 | 549735 | 1.7789          | {'f1': 0.8867059593975114} | {'accuracy': 0.8341323106423778} |
| 0.0019        | 1642.0 | 550070 | 1.8184          | {'f1': 0.8874430709173715} | {'accuracy': 0.8341323106423778} |
| 0.0019        | 1643.0 | 550405 | 1.8149          | {'f1': 0.88671875}         | {'accuracy': 0.8331735378715245} |
| 0.0015        | 1644.0 | 550740 | 1.7591          | {'f1': 0.8865573770491804} | {'accuracy': 0.8341323106423778} |
| 0.0017        | 1645.0 | 551075 | 1.7327          | {'f1': 0.8831341301460823} | {'accuracy': 0.8312559923298178} |
| 0.0017        | 1646.0 | 551410 | 1.7562          | {'f1': 0.8816920026437541} | {'accuracy': 0.8283796740172579} |
| 0.0016        | 1647.0 | 551745 | 1.8002          | {'f1': 0.8867059593975114} | {'accuracy': 0.8341323106423778} |
| 0.0025        | 1648.0 | 552080 | 1.7971          | {'f1': 0.8867059593975114} | {'accuracy': 0.8341323106423778} |
| 0.0025        | 1649.0 | 552415 | 1.7689          | {'f1': 0.886408404464872}  | {'accuracy': 0.8341323106423778} |
| 0.0021        | 1650.0 | 552750 | 1.7870          | {'f1': 0.8861256544502618} | {'accuracy': 0.8331735378715245} |
| 0.0027        | 1651.0 | 553085 | 1.7626          | {'f1': 0.886259040105194}  | {'accuracy': 0.8341323106423778} |
| 0.0027        | 1652.0 | 553420 | 1.8169          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0027        | 1653.0 | 553755 | 1.7918          | {'f1': 0.8875816993464052} | {'accuracy': 0.835091083413231}  |
| 0.0017        | 1654.0 | 554090 | 1.8755          | {'f1': 0.8852883992222943} | {'accuracy': 0.8302972195589645} |
| 0.0017        | 1655.0 | 554425 | 1.8191          | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.0016        | 1656.0 | 554760 | 1.8020          | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0017        | 1657.0 | 555095 | 1.7870          | {'f1': 0.8846407382992749} | {'accuracy': 0.8322147651006712} |
| 0.0017        | 1658.0 | 555430 | 1.7991          | {'f1': 0.8820445609436436} | {'accuracy': 0.8274209012464045} |
| 0.0031        | 1659.0 | 555765 | 1.8111          | {'f1': 0.8827766863130322} | {'accuracy': 0.8283796740172579} |
| 0.002         | 1660.0 | 556100 | 1.8213          | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.002         | 1661.0 | 556435 | 1.8229          | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.0015        | 1662.0 | 556770 | 1.8275          | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.0017        | 1663.0 | 557105 | 1.8519          | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0017        | 1664.0 | 557440 | 1.8280          | {'f1': 0.8836601307189542} | {'accuracy': 0.8293384467881112} |
| 0.0015        | 1665.0 | 557775 | 1.8727          | {'f1': 0.8864373783257624} | {'accuracy': 0.8322147651006712} |
| 0.0015        | 1666.0 | 558110 | 1.7752          | {'f1': 0.8859591298615689} | {'accuracy': 0.8341323106423778} |
| 0.0015        | 1667.0 | 558445 | 1.7451          | {'f1': 0.8862275449101797} | {'accuracy': 0.8360498561840843} |
| 0.0023        | 1668.0 | 558780 | 1.7438          | {'f1': 0.885486018641811}  | {'accuracy': 0.835091083413231}  |
| 0.0013        | 1669.0 | 559115 | 1.7877          | {'f1': 0.8842105263157894} | {'accuracy': 0.8312559923298178} |
| 0.0013        | 1670.0 | 559450 | 1.8268          | {'f1': 0.8865710560625816} | {'accuracy': 0.8331735378715245} |
| 0.0042        | 1671.0 | 559785 | 1.7939          | {'f1': 0.8845144356955381} | {'accuracy': 0.8312559923298178} |
| 0.0014        | 1672.0 | 560120 | 1.7617          | {'f1': 0.8871287128712871} | {'accuracy': 0.8360498561840843} |
| 0.0014        | 1673.0 | 560455 | 1.7695          | {'f1': 0.8859591298615689} | {'accuracy': 0.8341323106423778} |
| 0.0018        | 1674.0 | 560790 | 1.7976          | {'f1': 0.8842380640941793} | {'accuracy': 0.8302972195589645} |
| 0.0032        | 1675.0 | 561125 | 1.7758          | {'f1': 0.886259040105194}  | {'accuracy': 0.8341323106423778} |
| 0.0032        | 1676.0 | 561460 | 1.7853          | {'f1': 0.8865573770491804} | {'accuracy': 0.8341323106423778} |
| 0.0016        | 1677.0 | 561795 | 1.8183          | {'f1': 0.8865710560625816} | {'accuracy': 0.8331735378715245} |
| 0.0021        | 1678.0 | 562130 | 1.8137          | {'f1': 0.8864229765013055} | {'accuracy': 0.8331735378715245} |
| 0.0021        | 1679.0 | 562465 | 1.7866          | {'f1': 0.8869908015768725} | {'accuracy': 0.835091083413231}  |
| 0.0014        | 1680.0 | 562800 | 1.8024          | {'f1': 0.8861256544502618} | {'accuracy': 0.8331735378715245} |
| 0.002         | 1681.0 | 563135 | 1.8350          | {'f1': 0.8841145833333333} | {'accuracy': 0.8293384467881112} |
| 0.002         | 1682.0 | 563470 | 1.8830          | {'f1': 0.8847150259067358} | {'accuracy': 0.8293384467881112} |
| 0.0021        | 1683.0 | 563805 | 1.8897          | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0022        | 1684.0 | 564140 | 1.8933          | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0022        | 1685.0 | 564475 | 1.8870          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.0016        | 1686.0 | 564810 | 1.8205          | {'f1': 0.8862745098039215} | {'accuracy': 0.8331735378715245} |
| 0.0022        | 1687.0 | 565145 | 1.8695          | {'f1': 0.8851395197923426} | {'accuracy': 0.8302972195589645} |
| 0.0022        | 1688.0 | 565480 | 1.7729          | {'f1': 0.8883048620236531} | {'accuracy': 0.8370086289549377} |
| 0.0025        | 1689.0 | 565815 | 1.8150          | {'f1': 0.8856956237753103} | {'accuracy': 0.8322147651006712} |
| 0.0018        | 1690.0 | 566150 | 1.8247          | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0018        | 1691.0 | 566485 | 1.7694          | {'f1': 0.8877216021011162} | {'accuracy': 0.8360498561840843} |
| 0.0017        | 1692.0 | 566820 | 1.8261          | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.0017        | 1693.0 | 567155 | 1.9000          | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0017        | 1694.0 | 567490 | 1.8237          | {'f1': 0.8839634941329856} | {'accuracy': 0.8293384467881112} |
| 0.0017        | 1695.0 | 567825 | 1.8309          | {'f1': 0.8839634941329856} | {'accuracy': 0.8293384467881112} |
| 0.0022        | 1696.0 | 568160 | 1.8800          | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.0022        | 1697.0 | 568495 | 1.7568          | {'f1': 0.8846407382992749} | {'accuracy': 0.8322147651006712} |
| 0.0035        | 1698.0 | 568830 | 1.7732          | {'f1': 0.8858267716535433} | {'accuracy': 0.8331735378715245} |
| 0.0033        | 1699.0 | 569165 | 1.7657          | {'f1': 0.8849441157133465} | {'accuracy': 0.8322147651006712} |
| 0.0019        | 1700.0 | 569500 | 1.7705          | {'f1': 0.8858267716535433} | {'accuracy': 0.8331735378715245} |
| 0.0019        | 1701.0 | 569835 | 1.8138          | {'f1': 0.8832354859752121} | {'accuracy': 0.8283796740172579} |
| 0.0031        | 1702.0 | 570170 | 1.7630          | {'f1': 0.8859764089121887} | {'accuracy': 0.8331735378715245} |
| 0.003         | 1703.0 | 570505 | 1.7722          | {'f1': 0.8855461085676913} | {'accuracy': 0.8322147651006712} |
| 0.003         | 1704.0 | 570840 | 1.8248          | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0016        | 1705.0 | 571175 | 1.7793          | {'f1': 0.8859764089121887} | {'accuracy': 0.8331735378715245} |
| 0.0018        | 1706.0 | 571510 | 1.7850          | {'f1': 0.8833551769331585} | {'accuracy': 0.8293384467881112} |
| 0.0018        | 1707.0 | 571845 | 1.7811          | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0028        | 1708.0 | 572180 | 1.7269          | {'f1': 0.883013879709187}  | {'accuracy': 0.8302972195589645} |
| 0.0014        | 1709.0 | 572515 | 1.7732          | {'f1': 0.8837820091923834} | {'accuracy': 0.8302972195589645} |
| 0.0014        | 1710.0 | 572850 | 1.8038          | {'f1': 0.884967320261438}  | {'accuracy': 0.8312559923298178} |
| 0.0017        | 1711.0 | 573185 | 1.8681          | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698}  |
| 0.0032        | 1712.0 | 573520 | 1.8203          | {'f1': 0.8828125}          | {'accuracy': 0.8274209012464045} |
| 0.0032        | 1713.0 | 573855 | 1.8133          | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0017        | 1714.0 | 574190 | 1.8147          | {'f1': 0.8839634941329856} | {'accuracy': 0.8293384467881112} |
| 0.0015        | 1715.0 | 574525 | 1.8559          | {'f1': 0.881399870382372}  | {'accuracy': 0.8245445829338447} |
| 0.0015        | 1716.0 | 574860 | 1.8450          | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0027        | 1717.0 | 575195 | 1.8129          | {'f1': 0.8807817589576548} | {'accuracy': 0.8245445829338447} |
| 0.0018        | 1718.0 | 575530 | 1.8224          | {'f1': 0.881664499349805}  | {'accuracy': 0.825503355704698}  |
| 0.0018        | 1719.0 | 575865 | 1.8830          | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.002         | 1720.0 | 576200 | 1.8332          | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.002         | 1721.0 | 576535 | 1.8102          | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.002         | 1722.0 | 576870 | 1.8260          | {'f1': 0.8835393623942747} | {'accuracy': 0.8283796740172579} |
| 0.0016        | 1723.0 | 577205 | 1.8454          | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.0022        | 1724.0 | 577540 | 1.8249          | {'f1': 0.881664499349805}  | {'accuracy': 0.825503355704698}  |
| 0.0022        | 1725.0 | 577875 | 1.8317          | {'f1': 0.881664499349805}  | {'accuracy': 0.825503355704698}  |
| 0.0016        | 1726.0 | 578210 | 1.8376          | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698}  |
| 0.0017        | 1727.0 | 578545 | 1.8215          | {'f1': 0.8815104166666666} | {'accuracy': 0.825503355704698}  |
| 0.0017        | 1728.0 | 578880 | 1.8402          | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0021        | 1729.0 | 579215 | 1.7980          | {'f1': 0.8821989528795812} | {'accuracy': 0.8274209012464045} |
| 0.0044        | 1730.0 | 579550 | 1.7829          | {'f1': 0.8830829523187459} | {'accuracy': 0.8283796740172579} |
| 0.0044        | 1731.0 | 579885 | 1.7817          | {'f1': 0.8817766165904638} | {'accuracy': 0.8264621284755513} |
| 0.0025        | 1732.0 | 580220 | 1.7871          | {'f1': 0.881201044386423}  | {'accuracy': 0.825503355704698}  |
| 0.0017        | 1733.0 | 580555 | 1.7537          | {'f1': 0.8837820091923834} | {'accuracy': 0.8302972195589645} |
| 0.0017        | 1734.0 | 580890 | 1.7662          | {'f1': 0.8820445609436436} | {'accuracy': 0.8274209012464045} |
| 0.0024        | 1735.0 | 581225 | 1.8081          | {'f1': 0.8813559322033898} | {'accuracy': 0.825503355704698}  |
| 0.0017        | 1736.0 | 581560 | 1.8028          | {'f1': 0.8806262230919765} | {'accuracy': 0.8245445829338447} |
| 0.0017        | 1737.0 | 581895 | 1.7924          | {'f1': 0.8817766165904638} | {'accuracy': 0.8264621284755513} |
| 0.0017        | 1738.0 | 582230 | 1.7590          | {'f1': 0.8852459016393444} | {'accuracy': 0.8322147651006712} |
| 0.0017        | 1739.0 | 582565 | 1.7630          | {'f1': 0.8846657929226737} | {'accuracy': 0.8312559923298178} |
| 0.0017        | 1740.0 | 582900 | 1.8173          | {'f1': 0.8835393623942747} | {'accuracy': 0.8283796740172579} |
| 0.0026        | 1741.0 | 583235 | 1.7922          | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.0014        | 1742.0 | 583570 | 1.8177          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0014        | 1743.0 | 583905 | 1.8458          | {'f1': 0.8832684824902725} | {'accuracy': 0.8274209012464045} |
| 0.0015        | 1744.0 | 584240 | 1.8467          | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.0022        | 1745.0 | 584575 | 1.8395          | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0022        | 1746.0 | 584910 | 1.8065          | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.002         | 1747.0 | 585245 | 1.8286          | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0014        | 1748.0 | 585580 | 1.7903          | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.0014        | 1749.0 | 585915 | 1.7733          | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.0018        | 1750.0 | 586250 | 1.7725          | {'f1': 0.8840864440078585} | {'accuracy': 0.8302972195589645} |
| 0.0017        | 1751.0 | 586585 | 1.7919          | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0017        | 1752.0 | 586920 | 1.7989          | {'f1': 0.8839634941329856} | {'accuracy': 0.8293384467881112} |
| 0.0031        | 1753.0 | 587255 | 1.7640          | {'f1': 0.8836601307189542} | {'accuracy': 0.8293384467881112} |
| 0.0024        | 1754.0 | 587590 | 1.7970          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0024        | 1755.0 | 587925 | 1.8008          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0017        | 1756.0 | 588260 | 1.8080          | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.0016        | 1757.0 | 588595 | 1.8133          | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.0016        | 1758.0 | 588930 | 1.8340          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.0017        | 1759.0 | 589265 | 1.7881          | {'f1': 0.8855656697009102} | {'accuracy': 0.8312559923298178} |
| 0.003         | 1760.0 | 589600 | 1.7626          | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.003         | 1761.0 | 589935 | 1.7643          | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.0015        | 1762.0 | 590270 | 1.7398          | {'f1': 0.8856767411300921} | {'accuracy': 0.8331735378715245} |
| 0.0014        | 1763.0 | 590605 | 1.8086          | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0014        | 1764.0 | 590940 | 1.8100          | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0017        | 1765.0 | 591275 | 1.8105          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0017        | 1766.0 | 591610 | 1.7731          | {'f1': 0.885396201702685}  | {'accuracy': 0.8322147651006712} |
| 0.0017        | 1767.0 | 591945 | 1.7660          | {'f1': 0.8859764089121887} | {'accuracy': 0.8331735378715245} |
| 0.0014        | 1768.0 | 592280 | 1.7488          | {'f1': 0.8858267716535433} | {'accuracy': 0.8331735378715245} |
| 0.0018        | 1769.0 | 592615 | 1.7477          | {'f1': 0.8869908015768725} | {'accuracy': 0.835091083413231}  |
| 0.0018        | 1770.0 | 592950 | 1.7569          | {'f1': 0.8852459016393444} | {'accuracy': 0.8322147651006712} |
| 0.0028        | 1771.0 | 593285 | 1.7438          | {'f1': 0.8865573770491804} | {'accuracy': 0.8341323106423778} |
| 0.0019        | 1772.0 | 593620 | 1.7991          | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0019        | 1773.0 | 593955 | 1.7388          | {'f1': 0.8877216021011162} | {'accuracy': 0.8360498561840843} |
| 0.0024        | 1774.0 | 594290 | 1.7490          | {'f1': 0.8877216021011162} | {'accuracy': 0.8360498561840843} |
| 0.0018        | 1775.0 | 594625 | 1.7518          | {'f1': 0.8871391076115486} | {'accuracy': 0.835091083413231}  |
| 0.0018        | 1776.0 | 594960 | 1.7421          | {'f1': 0.8877216021011162} | {'accuracy': 0.8360498561840843} |
| 0.0015        | 1777.0 | 595295 | 1.7446          | {'f1': 0.8877216021011162} | {'accuracy': 0.8360498561840843} |
| 0.0015        | 1778.0 | 595630 | 1.7495          | {'f1': 0.8869908015768725} | {'accuracy': 0.835091083413231}  |
| 0.0015        | 1779.0 | 595965 | 1.7687          | {'f1': 0.8861256544502618} | {'accuracy': 0.8331735378715245} |
| 0.0029        | 1780.0 | 596300 | 1.7930          | {'f1': 0.8864229765013055} | {'accuracy': 0.8331735378715245} |
| 0.0016        | 1781.0 | 596635 | 1.7599          | {'f1': 0.8856767411300921} | {'accuracy': 0.8331735378715245} |
| 0.0016        | 1782.0 | 596970 | 1.7274          | {'f1': 0.8861092824226466} | {'accuracy': 0.8341323106423778} |
| 0.0029        | 1783.0 | 597305 | 1.7916          | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.0021        | 1784.0 | 597640 | 1.7813          | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.0021        | 1785.0 | 597975 | 1.7624          | {'f1': 0.8850952068286276} | {'accuracy': 0.8322147651006712} |
| 0.0014        | 1786.0 | 598310 | 1.7630          | {'f1': 0.8858267716535433} | {'accuracy': 0.8331735378715245} |
| 0.0017        | 1787.0 | 598645 | 1.7639          | {'f1': 0.8852459016393444} | {'accuracy': 0.8322147651006712} |
| 0.0017        | 1788.0 | 598980 | 1.8292          | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0026        | 1789.0 | 599315 | 1.8300          | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0014        | 1790.0 | 599650 | 1.7960          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0014        | 1791.0 | 599985 | 1.7991          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0032        | 1792.0 | 600320 | 1.7748          | {'f1': 0.885396201702685}  | {'accuracy': 0.8322147651006712} |
| 0.0018        | 1793.0 | 600655 | 1.7767          | {'f1': 0.8861256544502618} | {'accuracy': 0.8331735378715245} |
| 0.0018        | 1794.0 | 600990 | 1.7648          | {'f1': 0.8839344262295081} | {'accuracy': 0.8302972195589645} |
| 0.0014        | 1795.0 | 601325 | 1.7661          | {'f1': 0.8846657929226737} | {'accuracy': 0.8312559923298178} |
| 0.0016        | 1796.0 | 601660 | 1.8404          | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.0016        | 1797.0 | 601995 | 1.8215          | {'f1': 0.8845654993514916} | {'accuracy': 0.8293384467881112} |
| 0.0025        | 1798.0 | 602330 | 1.8020          | {'f1': 0.8839634941329856} | {'accuracy': 0.8293384467881112} |
| 0.0015        | 1799.0 | 602665 | 1.8410          | {'f1': 0.8845654993514916} | {'accuracy': 0.8293384467881112} |
| 0.0024        | 1800.0 | 603000 | 1.8550          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.0024        | 1801.0 | 603335 | 1.8152          | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0019        | 1802.0 | 603670 | 1.8599          | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0031        | 1803.0 | 604005 | 1.8600          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0031        | 1804.0 | 604340 | 1.8608          | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0015        | 1805.0 | 604675 | 1.8073          | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0026        | 1806.0 | 605010 | 1.8080          | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0026        | 1807.0 | 605345 | 1.7721          | {'f1': 0.8836601307189542} | {'accuracy': 0.8293384467881112} |
| 0.0023        | 1808.0 | 605680 | 1.7746          | {'f1': 0.8829300196206671} | {'accuracy': 0.8283796740172579} |
| 0.0015        | 1809.0 | 606015 | 1.7814          | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0015        | 1810.0 | 606350 | 1.8085          | {'f1': 0.8855656697009102} | {'accuracy': 0.8312559923298178} |
| 0.0025        | 1811.0 | 606685 | 1.7868          | {'f1': 0.8859934853420196} | {'accuracy': 0.8322147651006712} |
| 0.0027        | 1812.0 | 607020 | 1.8199          | {'f1': 0.8855656697009102} | {'accuracy': 0.8312559923298178} |
| 0.0027        | 1813.0 | 607355 | 1.7622          | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0027        | 1814.0 | 607690 | 1.7351          | {'f1': 0.8856767411300921} | {'accuracy': 0.8331735378715245} |
| 0.003         | 1815.0 | 608025 | 1.7589          | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.003         | 1816.0 | 608360 | 1.7603          | {'f1': 0.8842380640941793} | {'accuracy': 0.8302972195589645} |
| 0.0017        | 1817.0 | 608695 | 1.7043          | {'f1': 0.8847682119205298} | {'accuracy': 0.8331735378715245} |
| 0.0017        | 1818.0 | 609030 | 1.7115          | {'f1': 0.8850726552179656} | {'accuracy': 0.8331735378715245} |
| 0.0017        | 1819.0 | 609365 | 1.7299          | {'f1': 0.8828947368421053} | {'accuracy': 0.8293384467881112} |
| 0.0034        | 1820.0 | 609700 | 1.7508          | {'f1': 0.8855461085676913} | {'accuracy': 0.8322147651006712} |
| 0.0014        | 1821.0 | 610035 | 1.7615          | {'f1': 0.884967320261438}  | {'accuracy': 0.8312559923298178} |
| 0.0014        | 1822.0 | 610370 | 1.7710          | {'f1': 0.8865710560625816} | {'accuracy': 0.8331735378715245} |
| 0.0023        | 1823.0 | 610705 | 1.7671          | {'f1': 0.8871493803000652} | {'accuracy': 0.8341323106423778} |
| 0.002         | 1824.0 | 611040 | 1.8029          | {'f1': 0.8855656697009102} | {'accuracy': 0.8312559923298178} |
| 0.002         | 1825.0 | 611375 | 1.8044          | {'f1': 0.8855656697009102} | {'accuracy': 0.8312559923298178} |
| 0.0016        | 1826.0 | 611710 | 1.7916          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0026        | 1827.0 | 612045 | 1.8254          | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0026        | 1828.0 | 612380 | 1.8280          | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0019        | 1829.0 | 612715 | 1.8563          | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138}  |
| 0.0018        | 1830.0 | 613050 | 1.8191          | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.0018        | 1831.0 | 613385 | 1.8434          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.002         | 1832.0 | 613720 | 1.8193          | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0022        | 1833.0 | 614055 | 1.8059          | {'f1': 0.8861418347430059} | {'accuracy': 0.8322147651006712} |
| 0.0022        | 1834.0 | 614390 | 1.8419          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.0014        | 1835.0 | 614725 | 1.8164          | {'f1': 0.8855656697009102} | {'accuracy': 0.8312559923298178} |
| 0.0016        | 1836.0 | 615060 | 1.8140          | {'f1': 0.8855656697009102} | {'accuracy': 0.8312559923298178} |
| 0.0016        | 1837.0 | 615395 | 1.8308          | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0015        | 1838.0 | 615730 | 1.8373          | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0018        | 1839.0 | 616065 | 1.8327          | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0018        | 1840.0 | 616400 | 1.8333          | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0014        | 1841.0 | 616735 | 1.8224          | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0021        | 1842.0 | 617070 | 1.8239          | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0021        | 1843.0 | 617405 | 1.8142          | {'f1': 0.8861418347430059} | {'accuracy': 0.8322147651006712} |
| 0.002         | 1844.0 | 617740 | 1.7930          | {'f1': 0.8864229765013055} | {'accuracy': 0.8331735378715245} |
| 0.0015        | 1845.0 | 618075 | 1.8028          | {'f1': 0.8865710560625816} | {'accuracy': 0.8331735378715245} |
| 0.0015        | 1846.0 | 618410 | 1.8019          | {'f1': 0.8865710560625816} | {'accuracy': 0.8331735378715245} |
| 0.0016        | 1847.0 | 618745 | 1.7941          | {'f1': 0.8864229765013055} | {'accuracy': 0.8331735378715245} |
| 0.0015        | 1848.0 | 619080 | 1.7914          | {'f1': 0.8862745098039215} | {'accuracy': 0.8331735378715245} |
| 0.0015        | 1849.0 | 619415 | 1.7932          | {'f1': 0.8870019595035924} | {'accuracy': 0.8341323106423778} |
| 0.0017        | 1850.0 | 619750 | 1.8027          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.002         | 1851.0 | 620085 | 1.8047          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.002         | 1852.0 | 620420 | 1.7780          | {'f1': 0.8867059593975114} | {'accuracy': 0.8341323106423778} |
| 0.0019        | 1853.0 | 620755 | 1.8007          | {'f1': 0.8858447488584474} | {'accuracy': 0.8322147651006712} |
| 0.0019        | 1854.0 | 621090 | 1.8166          | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0019        | 1855.0 | 621425 | 1.8067          | {'f1': 0.8858447488584474} | {'accuracy': 0.8322147651006712} |
| 0.0019        | 1856.0 | 621760 | 1.8099          | {'f1': 0.8858447488584474} | {'accuracy': 0.8322147651006712} |
| 0.0014        | 1857.0 | 622095 | 1.8132          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0014        | 1858.0 | 622430 | 1.8160          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0016        | 1859.0 | 622765 | 1.8130          | {'f1': 0.8865710560625816} | {'accuracy': 0.8331735378715245} |
| 0.0023        | 1860.0 | 623100 | 1.8032          | {'f1': 0.8864229765013055} | {'accuracy': 0.8331735378715245} |
| 0.0023        | 1861.0 | 623435 | 1.8292          | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0015        | 1862.0 | 623770 | 1.7820          | {'f1': 0.8862745098039215} | {'accuracy': 0.8331735378715245} |
| 0.0022        | 1863.0 | 624105 | 1.7866          | {'f1': 0.8862745098039215} | {'accuracy': 0.8331735378715245} |
| 0.0022        | 1864.0 | 624440 | 1.7810          | {'f1': 0.8861256544502618} | {'accuracy': 0.8331735378715245} |
| 0.0017        | 1865.0 | 624775 | 1.7817          | {'f1': 0.885396201702685}  | {'accuracy': 0.8322147651006712} |
| 0.0014        | 1866.0 | 625110 | 1.7845          | {'f1': 0.8861256544502618} | {'accuracy': 0.8331735378715245} |
| 0.0014        | 1867.0 | 625445 | 1.8123          | {'f1': 0.8865710560625816} | {'accuracy': 0.8331735378715245} |
| 0.0017        | 1868.0 | 625780 | 1.8365          | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0017        | 1869.0 | 626115 | 1.8423          | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0017        | 1870.0 | 626450 | 1.8632          | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698}  |
| 0.0025        | 1871.0 | 626785 | 1.8688          | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698}  |
| 0.0025        | 1872.0 | 627120 | 1.8626          | {'f1': 0.881399870382372}  | {'accuracy': 0.8245445829338447} |
| 0.0025        | 1873.0 | 627455 | 1.8754          | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698}  |
| 0.0026        | 1874.0 | 627790 | 1.8935          | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698}  |
| 0.002         | 1875.0 | 628125 | 1.8796          | {'f1': 0.8822768434670116} | {'accuracy': 0.825503355704698}  |
| 0.002         | 1876.0 | 628460 | 1.8755          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0016        | 1877.0 | 628795 | 1.8645          | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698}  |
| 0.0029        | 1878.0 | 629130 | 1.8299          | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0029        | 1879.0 | 629465 | 1.8327          | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0026        | 1880.0 | 629800 | 1.8038          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0023        | 1881.0 | 630135 | 1.8041          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0023        | 1882.0 | 630470 | 1.7793          | {'f1': 0.8855461085676913} | {'accuracy': 0.8322147651006712} |
| 0.0016        | 1883.0 | 630805 | 1.7775          | {'f1': 0.8855461085676913} | {'accuracy': 0.8322147651006712} |
| 0.0017        | 1884.0 | 631140 | 1.8057          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0017        | 1885.0 | 631475 | 1.8132          | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0019        | 1886.0 | 631810 | 1.8241          | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0017        | 1887.0 | 632145 | 1.8248          | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0017        | 1888.0 | 632480 | 1.8337          | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0015        | 1889.0 | 632815 | 1.8370          | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0019        | 1890.0 | 633150 | 1.8850          | {'f1': 0.8822768434670116} | {'accuracy': 0.825503355704698}  |
| 0.0019        | 1891.0 | 633485 | 1.8443          | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0025        | 1892.0 | 633820 | 1.8445          | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0016        | 1893.0 | 634155 | 1.8437          | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0016        | 1894.0 | 634490 | 1.8308          | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0016        | 1895.0 | 634825 | 1.8263          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0015        | 1896.0 | 635160 | 1.8285          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0015        | 1897.0 | 635495 | 1.8612          | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698}  |
| 0.0017        | 1898.0 | 635830 | 1.8584          | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0013        | 1899.0 | 636165 | 1.8256          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0021        | 1900.0 | 636500 | 1.8326          | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0021        | 1901.0 | 636835 | 1.8623          | {'f1': 0.8832684824902725} | {'accuracy': 0.8274209012464045} |
| 0.0017        | 1902.0 | 637170 | 1.8491          | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.0017        | 1903.0 | 637505 | 1.8310          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0017        | 1904.0 | 637840 | 1.8307          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0015        | 1905.0 | 638175 | 1.8300          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0015        | 1906.0 | 638510 | 1.8359          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0015        | 1907.0 | 638845 | 1.8397          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0017        | 1908.0 | 639180 | 1.8132          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0019        | 1909.0 | 639515 | 1.8285          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0019        | 1910.0 | 639850 | 1.8164          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0015        | 1911.0 | 640185 | 1.8159          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0039        | 1912.0 | 640520 | 1.8154          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0039        | 1913.0 | 640855 | 1.8143          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0016        | 1914.0 | 641190 | 1.8164          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0016        | 1915.0 | 641525 | 1.8002          | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.0016        | 1916.0 | 641860 | 1.8145          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0015        | 1917.0 | 642195 | 1.8322          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0018        | 1918.0 | 642530 | 1.8430          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0018        | 1919.0 | 642865 | 1.8387          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0014        | 1920.0 | 643200 | 1.8234          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0017        | 1921.0 | 643535 | 1.8391          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0017        | 1922.0 | 643870 | 1.8365          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0017        | 1923.0 | 644205 | 1.8385          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0015        | 1924.0 | 644540 | 1.8517          | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0015        | 1925.0 | 644875 | 1.8575          | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0016        | 1926.0 | 645210 | 1.8550          | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0015        | 1927.0 | 645545 | 1.8557          | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0015        | 1928.0 | 645880 | 1.8343          | {'f1': 0.8841145833333333} | {'accuracy': 0.8293384467881112} |
| 0.002         | 1929.0 | 646215 | 1.8389          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0012        | 1930.0 | 646550 | 1.8421          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0012        | 1931.0 | 646885 | 1.8391          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0015        | 1932.0 | 647220 | 1.8443          | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0014        | 1933.0 | 647555 | 1.8202          | {'f1': 0.8852672750977836} | {'accuracy': 0.8312559923298178} |
| 0.0014        | 1934.0 | 647890 | 1.8208          | {'f1': 0.8852672750977836} | {'accuracy': 0.8312559923298178} |
| 0.0024        | 1935.0 | 648225 | 1.8255          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0015        | 1936.0 | 648560 | 1.8251          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0015        | 1937.0 | 648895 | 1.8270          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0013        | 1938.0 | 649230 | 1.8323          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0025        | 1939.0 | 649565 | 1.8441          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0025        | 1940.0 | 649900 | 1.8561          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.003         | 1941.0 | 650235 | 1.8563          | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0019        | 1942.0 | 650570 | 1.8461          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0019        | 1943.0 | 650905 | 1.8470          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0016        | 1944.0 | 651240 | 1.8465          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0021        | 1945.0 | 651575 | 1.8407          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0021        | 1946.0 | 651910 | 1.8420          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0013        | 1947.0 | 652245 | 1.8416          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0017        | 1948.0 | 652580 | 1.8311          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0017        | 1949.0 | 652915 | 1.8314          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0017        | 1950.0 | 653250 | 1.8318          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0016        | 1951.0 | 653585 | 1.8348          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0016        | 1952.0 | 653920 | 1.8345          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0016        | 1953.0 | 654255 | 1.8347          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0029        | 1954.0 | 654590 | 1.8116          | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0029        | 1955.0 | 654925 | 1.8122          | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0015        | 1956.0 | 655260 | 1.8217          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0018        | 1957.0 | 655595 | 1.8250          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0018        | 1958.0 | 655930 | 1.8265          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0014        | 1959.0 | 656265 | 1.8312          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0018        | 1960.0 | 656600 | 1.8360          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0018        | 1961.0 | 656935 | 1.8422          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0014        | 1962.0 | 657270 | 1.8350          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0017        | 1963.0 | 657605 | 1.8340          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0017        | 1964.0 | 657940 | 1.8275          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0027        | 1965.0 | 658275 | 1.8315          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0016        | 1966.0 | 658610 | 1.8295          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0016        | 1967.0 | 658945 | 1.8294          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0024        | 1968.0 | 659280 | 1.8229          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0016        | 1969.0 | 659615 | 1.8217          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0016        | 1970.0 | 659950 | 1.8280          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0033        | 1971.0 | 660285 | 1.8352          | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0013        | 1972.0 | 660620 | 1.8291          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0013        | 1973.0 | 660955 | 1.8315          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0017        | 1974.0 | 661290 | 1.8264          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0011        | 1975.0 | 661625 | 1.8195          | {'f1': 0.8852672750977836} | {'accuracy': 0.8312559923298178} |
| 0.0011        | 1976.0 | 661960 | 1.8225          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0024        | 1977.0 | 662295 | 1.8227          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0016        | 1978.0 | 662630 | 1.8229          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0016        | 1979.0 | 662965 | 1.8219          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0015        | 1980.0 | 663300 | 1.8217          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0017        | 1981.0 | 663635 | 1.8209          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0017        | 1982.0 | 663970 | 1.8246          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0013        | 1983.0 | 664305 | 1.8217          | {'f1': 0.8852672750977836} | {'accuracy': 0.8312559923298178} |
| 0.0018        | 1984.0 | 664640 | 1.8200          | {'f1': 0.8852672750977836} | {'accuracy': 0.8312559923298178} |
| 0.0018        | 1985.0 | 664975 | 1.8221          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0024        | 1986.0 | 665310 | 1.8218          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0023        | 1987.0 | 665645 | 1.8206          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0023        | 1988.0 | 665980 | 1.8230          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0016        | 1989.0 | 666315 | 1.8191          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0029        | 1990.0 | 666650 | 1.8195          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0029        | 1991.0 | 666985 | 1.8215          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0018        | 1992.0 | 667320 | 1.8224          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0017        | 1993.0 | 667655 | 1.8227          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0017        | 1994.0 | 667990 | 1.8229          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0015        | 1995.0 | 668325 | 1.8205          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0021        | 1996.0 | 668660 | 1.8215          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0021        | 1997.0 | 668995 | 1.8216          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.002         | 1998.0 | 669330 | 1.8210          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0028        | 1999.0 | 669665 | 1.8213          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0015        | 2000.0 | 670000 | 1.8214          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
