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_4276
  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_4276

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: 1.9610
- F1: {'f1': 0.8828478964401294}
- Accuracy: {'accuracy': 0.8264621284755513}

## 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    | 268    | 0.6075          | {'f1': 0.8167895632444696} | {'accuracy': 0.6903163950143816} |
| 0.5944        | 2.0    | 536    | 0.5470          | {'f1': 0.8422315536892621} | {'accuracy': 0.74784276126558}   |
| 0.5944        | 3.0    | 804    | 0.5450          | {'f1': 0.852195423623995}  | {'accuracy': 0.7708533077660594} |
| 0.4872        | 4.0    | 1072   | 0.4844          | {'f1': 0.8598726114649682} | {'accuracy': 0.7890699904122723} |
| 0.4872        | 5.0    | 1340   | 0.4937          | {'f1': 0.866111467008328}  | {'accuracy': 0.7996164908916586} |
| 0.4338        | 6.0    | 1608   | 0.4676          | {'f1': 0.8661518661518662} | {'accuracy': 0.800575263662512}  |
| 0.4338        | 7.0    | 1876   | 0.4816          | {'f1': 0.8644175684277531} | {'accuracy': 0.7957813998082455} |
| 0.4056        | 8.0    | 2144   | 0.4739          | {'f1': 0.8718954248366014} | {'accuracy': 0.8120805369127517} |
| 0.4056        | 9.0    | 2412   | 0.4591          | {'f1': 0.8711974110032363} | {'accuracy': 0.8092042186001918} |
| 0.3849        | 10.0   | 2680   | 0.4851          | {'f1': 0.8745980707395499} | {'accuracy': 0.8130393096836049} |
| 0.3849        | 11.0   | 2948   | 0.5023          | {'f1': 0.8679722046746684} | {'accuracy': 0.7996164908916586} |
| 0.365         | 12.0   | 3216   | 0.5027          | {'f1': 0.8754813863928111} | {'accuracy': 0.8139980824544583} |
| 0.365         | 13.0   | 3484   | 0.4461          | {'f1': 0.876584389593062}  | {'accuracy': 0.822627037392138}  |
| 0.3358        | 14.0   | 3752   | 0.5491          | {'f1': 0.87000634115409}   | {'accuracy': 0.8034515819750719} |
| 0.3241        | 15.0   | 4020   | 0.4550          | {'f1': 0.8793103448275862} | {'accuracy': 0.825503355704698}  |
| 0.3241        | 16.0   | 4288   | 0.4668          | {'f1': 0.8797342192691031} | {'accuracy': 0.8264621284755513} |
| 0.3007        | 17.0   | 4556   | 0.5563          | {'f1': 0.8675914249684742} | {'accuracy': 0.7986577181208053} |
| 0.3007        | 18.0   | 4824   | 0.5609          | {'f1': 0.8685208596713022} | {'accuracy': 0.800575263662512}  |
| 0.2956        | 19.0   | 5092   | 0.5625          | {'f1': 0.8734015345268541} | {'accuracy': 0.8101629913710451} |
| 0.2956        | 20.0   | 5360   | 0.5280          | {'f1': 0.8789644012944984} | {'accuracy': 0.8207094918504314} |
| 0.2683        | 21.0   | 5628   | 0.4948          | {'f1': 0.8785666887856669} | {'accuracy': 0.8245445829338447} |
| 0.2683        | 22.0   | 5896   | 0.5524          | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.2473        | 23.0   | 6164   | 0.5997          | {'f1': 0.8726114649681528} | {'accuracy': 0.8082454458293384} |
| 0.2473        | 24.0   | 6432   | 0.6329          | {'f1': 0.8749198203976909} | {'accuracy': 0.8130393096836049} |
| 0.2315        | 25.0   | 6700   | 0.5596          | {'f1': 0.880794701986755}  | {'accuracy': 0.8274209012464045} |
| 0.2315        | 26.0   | 6968   | 0.6109          | {'f1': 0.8753993610223643} | {'accuracy': 0.8130393096836049} |
| 0.2331        | 27.0   | 7236   | 0.7069          | {'f1': 0.870499052432091}  | {'accuracy': 0.8034515819750719} |
| 0.2181        | 28.0   | 7504   | 0.6684          | {'f1': 0.8723809523809525} | {'accuracy': 0.8072866730584851} |
| 0.2181        | 29.0   | 7772   | 0.6178          | {'f1': 0.8775376555337263} | {'accuracy': 0.8207094918504314} |
| 0.2032        | 30.0   | 8040   | 0.6018          | {'f1': 0.8776595744680851} | {'accuracy': 0.8235858101629914} |
| 0.2032        | 31.0   | 8308   | 0.6371          | {'f1': 0.8749189889825016} | {'accuracy': 0.8149568552253116} |
| 0.1951        | 32.0   | 8576   | 0.6444          | {'f1': 0.8764044943820225} | {'accuracy': 0.8207094918504314} |
| 0.1951        | 33.0   | 8844   | 0.7170          | {'f1': 0.8752399232245682} | {'accuracy': 0.8130393096836049} |
| 0.1947        | 34.0   | 9112   | 0.6962          | {'f1': 0.8825065274151437} | {'accuracy': 0.8274209012464045} |
| 0.1947        | 35.0   | 9380   | 0.7095          | {'f1': 0.8750800768737989} | {'accuracy': 0.8130393096836049} |
| 0.1762        | 36.0   | 9648   | 0.6583          | {'f1': 0.8814669286182057} | {'accuracy': 0.8264621284755513} |
| 0.1762        | 37.0   | 9916   | 0.6923          | {'f1': 0.8767833981841764} | {'accuracy': 0.8178331735378715} |
| 0.1697        | 38.0   | 10184  | 0.6824          | {'f1': 0.8797920727745288} | {'accuracy': 0.822627037392138}  |
| 0.1697        | 39.0   | 10452  | 0.7424          | {'f1': 0.8743589743589745} | {'accuracy': 0.8120805369127517} |
| 0.1658        | 40.0   | 10720  | 0.6879          | {'f1': 0.8806855636123929} | {'accuracy': 0.8264621284755513} |
| 0.1658        | 41.0   | 10988  | 0.8173          | {'f1': 0.875}              | {'accuracy': 0.8139980824544583} |
| 0.1515        | 42.0   | 11256  | 0.7634          | {'f1': 0.8776978417266187} | {'accuracy': 0.8207094918504314} |
| 0.1529        | 43.0   | 11524  | 0.7446          | {'f1': 0.877887788778878}  | {'accuracy': 0.822627037392138}  |
| 0.1529        | 44.0   | 11792  | 0.8827          | {'f1': 0.874274661508704}  | {'accuracy': 0.8130393096836049} |
| 0.1379        | 45.0   | 12060  | 0.8475          | {'f1': 0.8757319453480807} | {'accuracy': 0.8168744007670182} |
| 0.1379        | 46.0   | 12328  | 0.8444          | {'f1': 0.8752449379490528} | {'accuracy': 0.8168744007670182} |
| 0.1385        | 47.0   | 12596  | 0.9618          | {'f1': 0.8685714285714287} | {'accuracy': 0.8015340364333653} |
| 0.1385        | 48.0   | 12864  | 0.8868          | {'f1': 0.8702388637830858} | {'accuracy': 0.8072866730584851} |
| 0.14          | 49.0   | 13132  | 1.0041          | {'f1': 0.8737988468930173} | {'accuracy': 0.8111217641418984} |
| 0.14          | 50.0   | 13400  | 1.0846          | {'f1': 0.8668769716088328} | {'accuracy': 0.7976989453499521} |
| 0.1307        | 51.0   | 13668  | 0.9921          | {'f1': 0.8688419705694178} | {'accuracy': 0.8034515819750719} |
| 0.1307        | 52.0   | 13936  | 0.9633          | {'f1': 0.8757319453480807} | {'accuracy': 0.8168744007670182} |
| 0.1112        | 53.0   | 14204  | 1.0211          | {'f1': 0.8733118971061095} | {'accuracy': 0.8111217641418984} |
| 0.1112        | 54.0   | 14472  | 1.1896          | {'f1': 0.8635794743429286} | {'accuracy': 0.7909875359539789} |
| 0.1309        | 55.0   | 14740  | 1.0013          | {'f1': 0.8700128700128702} | {'accuracy': 0.8063279002876318} |
| 0.1221        | 56.0   | 15008  | 1.0001          | {'f1': 0.8731487443657436} | {'accuracy': 0.8111217641418984} |
| 0.1221        | 57.0   | 15276  | 1.0049          | {'f1': 0.8772609819121446} | {'accuracy': 0.8178331735378715} |
| 0.1113        | 58.0   | 15544  | 1.0781          | {'f1': 0.8728434504792332} | {'accuracy': 0.8092042186001918} |
| 0.1113        | 59.0   | 15812  | 1.0977          | {'f1': 0.872680742162508}  | {'accuracy': 0.8092042186001918} |
| 0.1115        | 60.0   | 16080  | 1.0472          | {'f1': 0.8706182281708095} | {'accuracy': 0.8053691275167785} |
| 0.1115        | 61.0   | 16348  | 0.9831          | {'f1': 0.870695256660169}  | {'accuracy': 0.8092042186001918} |
| 0.098         | 62.0   | 16616  | 0.9927          | {'f1': 0.8719632304661851} | {'accuracy': 0.8130393096836049} |
| 0.098         | 63.0   | 16884  | 1.0695          | {'f1': 0.8738738738738738} | {'accuracy': 0.8120805369127517} |
| 0.1107        | 64.0   | 17152  | 1.0002          | {'f1': 0.8798955613577023} | {'accuracy': 0.8235858101629914} |
| 0.1107        | 65.0   | 17420  | 0.9707          | {'f1': 0.8787483702737942} | {'accuracy': 0.8216682646212847} |
| 0.1091        | 66.0   | 17688  | 1.0128          | {'f1': 0.8784313725490197} | {'accuracy': 0.8216682646212847} |
| 0.1091        | 67.0   | 17956  | 1.1134          | {'f1': 0.8717294192724951} | {'accuracy': 0.8072866730584851} |
| 0.1026        | 68.0   | 18224  | 1.0603          | {'f1': 0.8738501971090671} | {'accuracy': 0.8159156279961649} |
| 0.1026        | 69.0   | 18492  | 1.2804          | {'f1': 0.87017099430019}   | {'accuracy': 0.8034515819750719} |
| 0.094         | 70.0   | 18760  | 1.0974          | {'f1': 0.8696210661528582} | {'accuracy': 0.8053691275167785} |
| 0.093         | 71.0   | 19028  | 1.2703          | {'f1': 0.8697850821744627} | {'accuracy': 0.8024928092042186} |
| 0.093         | 72.0   | 19296  | 1.2012          | {'f1': 0.875724404378622}  | {'accuracy': 0.8149568552253116} |
| 0.0899        | 73.0   | 19564  | 1.1749          | {'f1': 0.875893437296946}  | {'accuracy': 0.8168744007670182} |
| 0.0899        | 74.0   | 19832  | 1.0505          | {'f1': 0.8736842105263158} | {'accuracy': 0.8159156279961649} |
| 0.0903        | 75.0   | 20100  | 1.0960          | {'f1': 0.8766946417043254} | {'accuracy': 0.8168744007670182} |
| 0.0903        | 76.0   | 20368  | 1.2759          | {'f1': 0.8718592964824121} | {'accuracy': 0.8044103547459253} |
| 0.0842        | 77.0   | 20636  | 1.1268          | {'f1': 0.8711974110032363} | {'accuracy': 0.8092042186001918} |
| 0.0842        | 78.0   | 20904  | 1.1667          | {'f1': 0.8747566515249838} | {'accuracy': 0.8149568552253116} |
| 0.0816        | 79.0   | 21172  | 1.1139          | {'f1': 0.8699029126213591} | {'accuracy': 0.8072866730584851} |
| 0.0816        | 80.0   | 21440  | 1.1289          | {'f1': 0.8775113415424498} | {'accuracy': 0.8187919463087249} |
| 0.0773        | 81.0   | 21708  | 1.0792          | {'f1': 0.8777923784494087} | {'accuracy': 0.8216682646212847} |
| 0.0773        | 82.0   | 21976  | 1.1410          | {'f1': 0.877124183006536}  | {'accuracy': 0.8197507190795782} |
| 0.0788        | 83.0   | 22244  | 1.3554          | {'f1': 0.8717624763108023} | {'accuracy': 0.8053691275167785} |
| 0.0817        | 84.0   | 22512  | 1.1553          | {'f1': 0.8709055876685934} | {'accuracy': 0.8072866730584851} |
| 0.0817        | 85.0   | 22780  | 1.1422          | {'f1': 0.8686739269698911} | {'accuracy': 0.8034515819750719} |
| 0.0733        | 86.0   | 23048  | 1.0853          | {'f1': 0.8755760368663594} | {'accuracy': 0.8187919463087249} |
| 0.0733        | 87.0   | 23316  | 1.2379          | {'f1': 0.8722860791826309} | {'accuracy': 0.8082454458293384} |
| 0.0776        | 88.0   | 23584  | 1.2913          | {'f1': 0.8748419721871048} | {'accuracy': 0.8101629913710451} |
| 0.0776        | 89.0   | 23852  | 1.1652          | {'f1': 0.8777633289986997} | {'accuracy': 0.8197507190795782} |
| 0.0708        | 90.0   | 24120  | 1.2576          | {'f1': 0.8766066838046273} | {'accuracy': 0.8159156279961649} |
| 0.0708        | 91.0   | 24388  | 1.1815          | {'f1': 0.8782383419689119} | {'accuracy': 0.8197507190795782} |
| 0.0631        | 92.0   | 24656  | 1.3106          | {'f1': 0.8732394366197184} | {'accuracy': 0.8101629913710451} |
| 0.0631        | 93.0   | 24924  | 1.2272          | {'f1': 0.8730769230769232} | {'accuracy': 0.8101629913710451} |
| 0.0696        | 94.0   | 25192  | 1.2953          | {'f1': 0.876765083440308}  | {'accuracy': 0.8159156279961649} |
| 0.0696        | 95.0   | 25460  | 1.2844          | {'f1': 0.8754813863928111} | {'accuracy': 0.8139980824544583} |
| 0.0563        | 96.0   | 25728  | 1.2379          | {'f1': 0.8729427254772877} | {'accuracy': 0.8149568552253116} |
| 0.0563        | 97.0   | 25996  | 1.2850          | {'f1': 0.881664499349805}  | {'accuracy': 0.825503355704698}  |
| 0.0557        | 98.0   | 26264  | 1.2859          | {'f1': 0.8755641521598968} | {'accuracy': 0.8149568552253116} |
| 0.0683        | 99.0   | 26532  | 1.2102          | {'f1': 0.8745938921377518} | {'accuracy': 0.8149568552253116} |
| 0.0683        | 100.0  | 26800  | 1.2866          | {'f1': 0.8736369467607441} | {'accuracy': 0.8111217641418984} |
| 0.0638        | 101.0  | 27068  | 1.4307          | {'f1': 0.8683544303797468} | {'accuracy': 0.800575263662512}  |
| 0.0638        | 102.0  | 27336  | 1.1488          | {'f1': 0.8734587929915639} | {'accuracy': 0.8130393096836049} |
| 0.0693        | 103.0  | 27604  | 1.1985          | {'f1': 0.8775376555337263} | {'accuracy': 0.8207094918504314} |
| 0.0693        | 104.0  | 27872  | 1.2900          | {'f1': 0.8746770025839793} | {'accuracy': 0.8139980824544583} |
| 0.064         | 105.0  | 28140  | 1.2855          | {'f1': 0.8754863813229572} | {'accuracy': 0.8159156279961649} |
| 0.064         | 106.0  | 28408  | 1.3281          | {'f1': 0.8725176169122358} | {'accuracy': 0.8092042186001918} |
| 0.0586        | 107.0  | 28676  | 1.2873          | {'f1': 0.8744365743721829} | {'accuracy': 0.8130393096836049} |
| 0.0586        | 108.0  | 28944  | 1.3377          | {'f1': 0.8737988468930173} | {'accuracy': 0.8111217641418984} |
| 0.0631        | 109.0  | 29212  | 1.2620          | {'f1': 0.8793215916503588} | {'accuracy': 0.822627037392138}  |
| 0.0631        | 110.0  | 29480  | 1.3145          | {'f1': 0.8741976893453146} | {'accuracy': 0.8120805369127517} |
| 0.05          | 111.0  | 29748  | 1.3408          | {'f1': 0.8652751423149905} | {'accuracy': 0.7957813998082455} |
| 0.05          | 112.0  | 30016  | 1.4493          | {'f1': 0.8727735368956744} | {'accuracy': 0.8082454458293384} |
| 0.05          | 113.0  | 30284  | 1.3254          | {'f1': 0.8775113415424498} | {'accuracy': 0.8187919463087249} |
| 0.0527        | 114.0  | 30552  | 1.3957          | {'f1': 0.8713375796178344} | {'accuracy': 0.8063279002876318} |
| 0.0527        | 115.0  | 30820  | 1.5469          | {'f1': 0.8677581863979849} | {'accuracy': 0.7986577181208053} |
| 0.0482        | 116.0  | 31088  | 1.3284          | {'f1': 0.8725176169122358} | {'accuracy': 0.8092042186001918} |
| 0.0482        | 117.0  | 31356  | 1.2982          | {'f1': 0.870453095086152}  | {'accuracy': 0.8053691275167785} |
| 0.0489        | 118.0  | 31624  | 1.5273          | {'f1': 0.869949494949495}  | {'accuracy': 0.8024928092042186} |
| 0.0489        | 119.0  | 31892  | 1.3563          | {'f1': 0.8728434504792332} | {'accuracy': 0.8092042186001918} |
| 0.0464        | 120.0  | 32160  | 1.3692          | {'f1': 0.8753993610223643} | {'accuracy': 0.8130393096836049} |
| 0.0464        | 121.0  | 32428  | 1.2495          | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.0478        | 122.0  | 32696  | 1.2845          | {'f1': 0.8755641521598968} | {'accuracy': 0.8149568552253116} |
| 0.0478        | 123.0  | 32964  | 1.4378          | {'f1': 0.8752374920835972} | {'accuracy': 0.8111217641418984} |
| 0.046         | 124.0  | 33232  | 1.2288          | {'f1': 0.8800521512385918} | {'accuracy': 0.8235858101629914} |
| 0.0444        | 125.0  | 33500  | 1.1855          | {'f1': 0.876657824933687}  | {'accuracy': 0.8216682646212847} |
| 0.0444        | 126.0  | 33768  | 1.4810          | {'f1': 0.8709472345835982} | {'accuracy': 0.8053691275167785} |
| 0.0475        | 127.0  | 34036  | 1.1555          | {'f1': 0.8803139306736429} | {'accuracy': 0.8245445829338447} |
| 0.0475        | 128.0  | 34304  | 1.3327          | {'f1': 0.8734587929915639} | {'accuracy': 0.8130393096836049} |
| 0.0413        | 129.0  | 34572  | 1.4666          | {'f1': 0.8711734693877551} | {'accuracy': 0.8063279002876318} |
| 0.0413        | 130.0  | 34840  | 1.2652          | {'f1': 0.8763897972531065} | {'accuracy': 0.8187919463087249} |
| 0.0437        | 131.0  | 35108  | 1.2726          | {'f1': 0.881201044386423}  | {'accuracy': 0.825503355704698}  |
| 0.0437        | 132.0  | 35376  | 1.3042          | {'f1': 0.8768729641693811} | {'accuracy': 0.8187919463087249} |
| 0.0475        | 133.0  | 35644  | 1.2782          | {'f1': 0.8750817527795945} | {'accuracy': 0.8168744007670182} |
| 0.0475        | 134.0  | 35912  | 1.3946          | {'f1': 0.8793215916503588} | {'accuracy': 0.822627037392138}  |
| 0.0402        | 135.0  | 36180  | 1.2243          | {'f1': 0.8816053511705686} | {'accuracy': 0.8302972195589645} |
| 0.0402        | 136.0  | 36448  | 1.4490          | {'f1': 0.8772378516624041} | {'accuracy': 0.8159156279961649} |
| 0.0436        | 137.0  | 36716  | 1.2867          | {'f1': 0.878334417696812}  | {'accuracy': 0.8207094918504314} |
| 0.0436        | 138.0  | 36984  | 1.3864          | {'f1': 0.8790218790218791} | {'accuracy': 0.8197507190795782} |
| 0.0412        | 139.0  | 37252  | 1.4153          | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0387        | 140.0  | 37520  | 1.4768          | {'f1': 0.8723809523809525} | {'accuracy': 0.8072866730584851} |
| 0.0387        | 141.0  | 37788  | 1.5351          | {'f1': 0.8723540731237972} | {'accuracy': 0.8092042186001918} |
| 0.0319        | 142.0  | 38056  | 1.3842          | {'f1': 0.8758085381630013} | {'accuracy': 0.8159156279961649} |
| 0.0319        | 143.0  | 38324  | 1.3523          | {'f1': 0.876943005181347}  | {'accuracy': 0.8178331735378715} |
| 0.0559        | 144.0  | 38592  | 1.4572          | {'f1': 0.8730964467005076} | {'accuracy': 0.8082454458293384} |
| 0.0559        | 145.0  | 38860  | 1.2603          | {'f1': 0.8746770025839793} | {'accuracy': 0.8139980824544583} |
| 0.0413        | 146.0  | 39128  | 1.4008          | {'f1': 0.8725176169122358} | {'accuracy': 0.8092042186001918} |
| 0.0413        | 147.0  | 39396  | 1.3653          | {'f1': 0.8782722513089006} | {'accuracy': 0.8216682646212847} |
| 0.0378        | 148.0  | 39664  | 1.3626          | {'f1': 0.8740359897172236} | {'accuracy': 0.8120805369127517} |
| 0.0378        | 149.0  | 39932  | 1.2392          | {'f1': 0.8818897637795275} | {'accuracy': 0.8274209012464045} |
| 0.0389        | 150.0  | 40200  | 1.3436          | {'f1': 0.8810916179337233} | {'accuracy': 0.8245445829338447} |
| 0.0389        | 151.0  | 40468  | 1.3810          | {'f1': 0.8745980707395499} | {'accuracy': 0.8130393096836049} |
| 0.0363        | 152.0  | 40736  | 1.3891          | {'f1': 0.8719590268886044} | {'accuracy': 0.8082454458293384} |
| 0.0346        | 153.0  | 41004  | 1.5349          | {'f1': 0.8725674827369743} | {'accuracy': 0.8053691275167785} |
| 0.0346        | 154.0  | 41272  | 1.2926          | {'f1': 0.8768536428110896} | {'accuracy': 0.8168744007670182} |
| 0.0325        | 155.0  | 41540  | 1.2025          | {'f1': 0.8799463447350772} | {'accuracy': 0.8283796740172579} |
| 0.0325        | 156.0  | 41808  | 1.3760          | {'f1': 0.8786127167630058} | {'accuracy': 0.8187919463087249} |
| 0.038         | 157.0  | 42076  | 1.2697          | {'f1': 0.8813559322033898} | {'accuracy': 0.825503355704698}  |
| 0.038         | 158.0  | 42344  | 1.3949          | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.0351        | 159.0  | 42612  | 1.4656          | {'f1': 0.876765083440308}  | {'accuracy': 0.8159156279961649} |
| 0.0351        | 160.0  | 42880  | 1.4483          | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0325        | 161.0  | 43148  | 1.5239          | {'f1': 0.8761904761904763} | {'accuracy': 0.8130393096836049} |
| 0.0325        | 162.0  | 43416  | 1.3390          | {'f1': 0.8867059593975114} | {'accuracy': 0.8341323106423778} |
| 0.0323        | 163.0  | 43684  | 1.3027          | {'f1': 0.8844884488448844} | {'accuracy': 0.8322147651006712} |
| 0.0323        | 164.0  | 43952  | 1.3008          | {'f1': 0.8805774278215224} | {'accuracy': 0.825503355704698}  |
| 0.0324        | 165.0  | 44220  | 1.3689          | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.0324        | 166.0  | 44488  | 1.5485          | {'f1': 0.8735053492762744} | {'accuracy': 0.8072866730584851} |
| 0.039         | 167.0  | 44756  | 1.4961          | {'f1': 0.8789808917197452} | {'accuracy': 0.8178331735378715} |
| 0.0277        | 168.0  | 45024  | 1.5022          | {'f1': 0.8752374920835972} | {'accuracy': 0.8111217641418984} |
| 0.0277        | 169.0  | 45292  | 1.2996          | {'f1': 0.8793215916503588} | {'accuracy': 0.822627037392138}  |
| 0.0361        | 170.0  | 45560  | 1.2698          | {'f1': 0.8783694937541091} | {'accuracy': 0.822627037392138}  |
| 0.0361        | 171.0  | 45828  | 1.4257          | {'f1': 0.8751625487646294} | {'accuracy': 0.8159156279961649} |
| 0.0288        | 172.0  | 46096  | 1.5108          | {'f1': 0.8711734693877551} | {'accuracy': 0.8063279002876318} |
| 0.0288        | 173.0  | 46364  | 1.4422          | {'f1': 0.8776699029126214} | {'accuracy': 0.8187919463087249} |
| 0.0345        | 174.0  | 46632  | 1.4563          | {'f1': 0.8753213367609254} | {'accuracy': 0.8139980824544583} |
| 0.0345        | 175.0  | 46900  | 1.4959          | {'f1': 0.8772378516624041} | {'accuracy': 0.8159156279961649} |
| 0.0242        | 176.0  | 47168  | 1.3783          | {'f1': 0.8775113415424498} | {'accuracy': 0.8187919463087249} |
| 0.0242        | 177.0  | 47436  | 1.3753          | {'f1': 0.8801054018445323} | {'accuracy': 0.825503355704698}  |
| 0.0303        | 178.0  | 47704  | 1.2522          | {'f1': 0.8764629388816645} | {'accuracy': 0.8178331735378715} |
| 0.0303        | 179.0  | 47972  | 1.4159          | {'f1': 0.8790786948176584} | {'accuracy': 0.8187919463087249} |
| 0.0339        | 180.0  | 48240  | 1.4322          | {'f1': 0.8789237668161436} | {'accuracy': 0.8187919463087249} |
| 0.0267        | 181.0  | 48508  | 1.5925          | {'f1': 0.8756345177664975} | {'accuracy': 0.8120805369127517} |
| 0.0267        | 182.0  | 48776  | 1.3578          | {'f1': 0.8756613756613756} | {'accuracy': 0.8197507190795782} |
| 0.0333        | 183.0  | 49044  | 1.4466          | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.0333        | 184.0  | 49312  | 1.4950          | {'f1': 0.8773281952472703} | {'accuracy': 0.8168744007670182} |
| 0.0217        | 185.0  | 49580  | 1.5078          | {'f1': 0.8767123287671234} | {'accuracy': 0.8187919463087249} |
| 0.0217        | 186.0  | 49848  | 1.4532          | {'f1': 0.8801546391752577} | {'accuracy': 0.8216682646212847} |
| 0.034         | 187.0  | 50116  | 1.2801          | {'f1': 0.8798938287989383} | {'accuracy': 0.8264621284755513} |
| 0.034         | 188.0  | 50384  | 1.4016          | {'f1': 0.8745198463508322} | {'accuracy': 0.8120805369127517} |
| 0.0297        | 189.0  | 50652  | 1.2767          | {'f1': 0.8830486202365309} | {'accuracy': 0.8293384467881112} |
| 0.0297        | 190.0  | 50920  | 1.5034          | {'f1': 0.8738110336081167} | {'accuracy': 0.8092042186001918} |
| 0.0272        | 191.0  | 51188  | 1.5793          | {'f1': 0.8720560152768938} | {'accuracy': 0.8072866730584851} |
| 0.0272        | 192.0  | 51456  | 1.4970          | {'f1': 0.876943005181347}  | {'accuracy': 0.8178331735378715} |
| 0.0245        | 193.0  | 51724  | 1.5864          | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0245        | 194.0  | 51992  | 1.4423          | {'f1': 0.8859934853420196} | {'accuracy': 0.8322147651006712} |
| 0.0187        | 195.0  | 52260  | 1.3823          | {'f1': 0.8804627249357326} | {'accuracy': 0.8216682646212847} |
| 0.0308        | 196.0  | 52528  | 1.4402          | {'f1': 0.8786127167630058} | {'accuracy': 0.8187919463087249} |
| 0.0308        | 197.0  | 52796  | 1.4327          | {'f1': 0.8773087071240107} | {'accuracy': 0.8216682646212847} |
| 0.0183        | 198.0  | 53064  | 1.5036          | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.0183        | 199.0  | 53332  | 1.5098          | {'f1': 0.876923076923077}  | {'accuracy': 0.8159156279961649} |
| 0.0218        | 200.0  | 53600  | 1.4606          | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698}  |
| 0.0218        | 201.0  | 53868  | 1.3711          | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138}  |
| 0.027         | 202.0  | 54136  | 1.3117          | {'f1': 0.8814432989690721} | {'accuracy': 0.8235858101629914} |
| 0.027         | 203.0  | 54404  | 1.3033          | {'f1': 0.8804627249357326} | {'accuracy': 0.8216682646212847} |
| 0.0304        | 204.0  | 54672  | 1.4017          | {'f1': 0.8798474253019707} | {'accuracy': 0.8187919463087249} |
| 0.0304        | 205.0  | 54940  | 1.5651          | {'f1': 0.876504116529449}  | {'accuracy': 0.8130393096836049} |
| 0.0192        | 206.0  | 55208  | 1.3411          | {'f1': 0.8777633289986997} | {'accuracy': 0.8197507190795782} |
| 0.0192        | 207.0  | 55476  | 1.4879          | {'f1': 0.876991714467814}  | {'accuracy': 0.8149568552253116} |
| 0.0236        | 208.0  | 55744  | 1.4436          | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138}  |
| 0.0204        | 209.0  | 56012  | 1.4901          | {'f1': 0.8787684413085312} | {'accuracy': 0.8187919463087249} |
| 0.0204        | 210.0  | 56280  | 1.6091          | {'f1': 0.8748403575989783} | {'accuracy': 0.8120805369127517} |
| 0.0187        | 211.0  | 56548  | 1.3899          | {'f1': 0.8779220779220779} | {'accuracy': 0.8197507190795782} |
| 0.0187        | 212.0  | 56816  | 1.3887          | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0257        | 213.0  | 57084  | 1.3687          | {'f1': 0.8790637191157347} | {'accuracy': 0.8216682646212847} |
| 0.0257        | 214.0  | 57352  | 1.5760          | {'f1': 0.8773946360153257} | {'accuracy': 0.8159156279961649} |
| 0.0211        | 215.0  | 57620  | 1.4459          | {'f1': 0.876923076923077}  | {'accuracy': 0.8159156279961649} |
| 0.0211        | 216.0  | 57888  | 1.3204          | {'f1': 0.8833551769331585} | {'accuracy': 0.8293384467881112} |
| 0.024         | 217.0  | 58156  | 1.5384          | {'f1': 0.8792884371029226} | {'accuracy': 0.8178331735378715} |
| 0.024         | 218.0  | 58424  | 1.3395          | {'f1': 0.8842380640941793} | {'accuracy': 0.8302972195589645} |
| 0.0255        | 219.0  | 58692  | 1.3911          | {'f1': 0.8753213367609254} | {'accuracy': 0.8139980824544583} |
| 0.0255        | 220.0  | 58960  | 1.2838          | {'f1': 0.8817345597897503} | {'accuracy': 0.8274209012464045} |
| 0.0246        | 221.0  | 59228  | 1.4621          | {'f1': 0.8759590792838876} | {'accuracy': 0.8139980824544583} |
| 0.0246        | 222.0  | 59496  | 1.3654          | {'f1': 0.8775773195876289} | {'accuracy': 0.8178331735378715} |
| 0.023         | 223.0  | 59764  | 1.3918          | {'f1': 0.8796356538711776} | {'accuracy': 0.822627037392138}  |
| 0.0199        | 224.0  | 60032  | 1.3056          | {'f1': 0.8843626806833115} | {'accuracy': 0.8312559923298178} |
| 0.0199        | 225.0  | 60300  | 1.4595          | {'f1': 0.8764331210191082} | {'accuracy': 0.8139980824544583} |
| 0.0273        | 226.0  | 60568  | 1.4990          | {'f1': 0.8790373654211526} | {'accuracy': 0.8168744007670182} |
| 0.0273        | 227.0  | 60836  | 1.4788          | {'f1': 0.8758664146187776} | {'accuracy': 0.8111217641418984} |
| 0.0251        | 228.0  | 61104  | 1.3328          | {'f1': 0.8802083333333333} | {'accuracy': 0.8235858101629914} |
| 0.0251        | 229.0  | 61372  | 1.3517          | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0198        | 230.0  | 61640  | 1.5124          | {'f1': 0.8736507936507937} | {'accuracy': 0.8092042186001918} |
| 0.0198        | 231.0  | 61908  | 1.5045          | {'f1': 0.874442319949012}  | {'accuracy': 0.8111217641418984} |
| 0.0217        | 232.0  | 62176  | 1.5527          | {'f1': 0.8728652751423149} | {'accuracy': 0.8072866730584851} |
| 0.0217        | 233.0  | 62444  | 1.3656          | {'f1': 0.8825065274151437} | {'accuracy': 0.8274209012464045} |
| 0.0191        | 234.0  | 62712  | 1.4432          | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138}  |
| 0.0191        | 235.0  | 62980  | 1.4782          | {'f1': 0.8751592356687897} | {'accuracy': 0.8120805369127517} |
| 0.0206        | 236.0  | 63248  | 1.3035          | {'f1': 0.8821192052980134} | {'accuracy': 0.8293384467881112} |
| 0.0186        | 237.0  | 63516  | 1.3984          | {'f1': 0.8805111821086261} | {'accuracy': 0.8207094918504314} |
| 0.0186        | 238.0  | 63784  | 1.2752          | {'f1': 0.8845144356955381} | {'accuracy': 0.8312559923298178} |
| 0.0212        | 239.0  | 64052  | 1.2830          | {'f1': 0.8864373783257624} | {'accuracy': 0.8322147651006712} |
| 0.0212        | 240.0  | 64320  | 1.3346          | {'f1': 0.884887459807074}  | {'accuracy': 0.8283796740172579} |
| 0.0203        | 241.0  | 64588  | 1.3498          | {'f1': 0.8834513844172568} | {'accuracy': 0.8264621284755513} |
| 0.0203        | 242.0  | 64856  | 1.4366          | {'f1': 0.8774855676715844} | {'accuracy': 0.8168744007670182} |
| 0.0123        | 243.0  | 65124  | 1.3929          | {'f1': 0.8841423948220065} | {'accuracy': 0.8283796740172579} |
| 0.0123        | 244.0  | 65392  | 1.3940          | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.0193        | 245.0  | 65660  | 1.3125          | {'f1': 0.8827319587628866} | {'accuracy': 0.825503355704698}  |
| 0.0193        | 246.0  | 65928  | 1.3074          | {'f1': 0.8813559322033898} | {'accuracy': 0.825503355704698}  |
| 0.0181        | 247.0  | 66196  | 1.3016          | {'f1': 0.8842105263157894} | {'accuracy': 0.8312559923298178} |
| 0.0181        | 248.0  | 66464  | 1.3970          | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.0175        | 249.0  | 66732  | 1.4648          | {'f1': 0.879177377892031}  | {'accuracy': 0.8197507190795782} |
| 0.0123        | 250.0  | 67000  | 1.5222          | {'f1': 0.876923076923077}  | {'accuracy': 0.8159156279961649} |
| 0.0123        | 251.0  | 67268  | 1.4873          | {'f1': 0.879177377892031}  | {'accuracy': 0.8197507190795782} |
| 0.0144        | 252.0  | 67536  | 1.4363          | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0144        | 253.0  | 67804  | 1.4639          | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138}  |
| 0.0183        | 254.0  | 68072  | 1.4259          | {'f1': 0.8852883992222943} | {'accuracy': 0.8302972195589645} |
| 0.0183        | 255.0  | 68340  | 1.4660          | {'f1': 0.8814432989690721} | {'accuracy': 0.8235858101629914} |
| 0.0166        | 256.0  | 68608  | 1.4401          | {'f1': 0.8817065287653523} | {'accuracy': 0.8245445829338447} |
| 0.0166        | 257.0  | 68876  | 1.3914          | {'f1': 0.8874259381171825} | {'accuracy': 0.8360498561840843} |
| 0.0165        | 258.0  | 69144  | 1.4175          | {'f1': 0.882084690553746}  | {'accuracy': 0.8264621284755513} |
| 0.0165        | 259.0  | 69412  | 1.6538          | {'f1': 0.8725428027901079} | {'accuracy': 0.8072866730584851} |
| 0.0094        | 260.0  | 69680  | 1.6220          | {'f1': 0.8750792644261256} | {'accuracy': 0.8111217641418984} |
| 0.0094        | 261.0  | 69948  | 1.5801          | {'f1': 0.8782664117272148} | {'accuracy': 0.8168744007670182} |
| 0.0193        | 262.0  | 70216  | 1.3351          | {'f1': 0.8863936591809775} | {'accuracy': 0.835091083413231}  |
| 0.0193        | 263.0  | 70484  | 1.3873          | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0184        | 264.0  | 70752  | 1.4527          | {'f1': 0.881859264041317}  | {'accuracy': 0.8245445829338447} |
| 0.0153        | 265.0  | 71020  | 1.4912          | {'f1': 0.8797953964194373} | {'accuracy': 0.8197507190795782} |
| 0.0153        | 266.0  | 71288  | 1.3711          | {'f1': 0.8858447488584474} | {'accuracy': 0.8322147651006712} |
| 0.0218        | 267.0  | 71556  | 1.3983          | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.0218        | 268.0  | 71824  | 1.4547          | {'f1': 0.8771021992238034} | {'accuracy': 0.8178331735378715} |
| 0.0147        | 269.0  | 72092  | 1.4513          | {'f1': 0.880722114764668}  | {'accuracy': 0.822627037392138}  |
| 0.0147        | 270.0  | 72360  | 1.3963          | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138}  |
| 0.0181        | 271.0  | 72628  | 1.3525          | {'f1': 0.8847926267281107} | {'accuracy': 0.8322147651006712} |
| 0.0181        | 272.0  | 72896  | 1.5126          | {'f1': 0.879177377892031}  | {'accuracy': 0.8197507190795782} |
| 0.0154        | 273.0  | 73164  | 1.3190          | {'f1': 0.881664499349805}  | {'accuracy': 0.825503355704698}  |
| 0.0154        | 274.0  | 73432  | 1.2765          | {'f1': 0.8910761154855643} | {'accuracy': 0.840843720038351}  |
| 0.0203        | 275.0  | 73700  | 1.4715          | {'f1': 0.8760330578512396} | {'accuracy': 0.8130393096836049} |
| 0.0203        | 276.0  | 73968  | 1.3632          | {'f1': 0.8845905867182463} | {'accuracy': 0.8283796740172579} |
| 0.0152        | 277.0  | 74236  | 1.2812          | {'f1': 0.8857901726427623} | {'accuracy': 0.835091083413231}  |
| 0.0129        | 278.0  | 74504  | 1.5735          | {'f1': 0.876590330788804}  | {'accuracy': 0.8139980824544583} |
| 0.0129        | 279.0  | 74772  | 1.4860          | {'f1': 0.8831835686777921} | {'accuracy': 0.825503355704698}  |
| 0.0084        | 280.0  | 75040  | 1.5089          | {'f1': 0.8825806451612904} | {'accuracy': 0.825503355704698}  |
| 0.0084        | 281.0  | 75308  | 1.5542          | {'f1': 0.882202304737516}  | {'accuracy': 0.8235858101629914} |
| 0.0152        | 282.0  | 75576  | 1.4587          | {'f1': 0.881859264041317}  | {'accuracy': 0.8245445829338447} |
| 0.0152        | 283.0  | 75844  | 1.4609          | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0132        | 284.0  | 76112  | 1.3948          | {'f1': 0.8862897985705004} | {'accuracy': 0.8322147651006712} |
| 0.0132        | 285.0  | 76380  | 1.4527          | {'f1': 0.881859264041317}  | {'accuracy': 0.8245445829338447} |
| 0.0184        | 286.0  | 76648  | 1.5984          | {'f1': 0.8746021642266074} | {'accuracy': 0.8111217641418984} |
| 0.0184        | 287.0  | 76916  | 1.4259          | {'f1': 0.8837209302325582} | {'accuracy': 0.8274209012464045} |
| 0.0165        | 288.0  | 77184  | 1.5350          | {'f1': 0.8786717752234994} | {'accuracy': 0.8178331735378715} |
| 0.0165        | 289.0  | 77452  | 1.4711          | {'f1': 0.8830334190231363} | {'accuracy': 0.825503355704698}  |
| 0.0148        | 290.0  | 77720  | 1.3440          | {'f1': 0.8869795109054858} | {'accuracy': 0.8360498561840843} |
| 0.0148        | 291.0  | 77988  | 1.3586          | {'f1': 0.8880105401844532} | {'accuracy': 0.8370086289549377} |
| 0.0132        | 292.0  | 78256  | 1.4065          | {'f1': 0.887434554973822}  | {'accuracy': 0.835091083413231}  |
| 0.0132        | 293.0  | 78524  | 1.4641          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0132        | 294.0  | 78792  | 1.4397          | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0143        | 295.0  | 79060  | 1.3048          | {'f1': 0.8850267379679145} | {'accuracy': 0.835091083413231}  |
| 0.0143        | 296.0  | 79328  | 1.3683          | {'f1': 0.8836291913214991} | {'accuracy': 0.8302972195589645} |
| 0.0124        | 297.0  | 79596  | 1.4332          | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.0124        | 298.0  | 79864  | 1.5453          | {'f1': 0.8764478764478765} | {'accuracy': 0.8159156279961649} |
| 0.0128        | 299.0  | 80132  | 1.5045          | {'f1': 0.8775773195876289} | {'accuracy': 0.8178331735378715} |
| 0.0128        | 300.0  | 80400  | 1.4130          | {'f1': 0.8820116054158607} | {'accuracy': 0.8245445829338447} |
| 0.017         | 301.0  | 80668  | 1.4272          | {'f1': 0.8796414852752881} | {'accuracy': 0.8197507190795782} |
| 0.017         | 302.0  | 80936  | 1.3021          | {'f1': 0.8894771674387822} | {'accuracy': 0.8398849472674976} |
| 0.0115        | 303.0  | 81204  | 1.2706          | {'f1': 0.8801597869507323} | {'accuracy': 0.8274209012464045} |
| 0.0115        | 304.0  | 81472  | 1.5218          | {'f1': 0.8803582853486884} | {'accuracy': 0.8207094918504314} |
| 0.0157        | 305.0  | 81740  | 1.3857          | {'f1': 0.8848641655886158} | {'accuracy': 0.8293384467881112} |
| 0.0145        | 306.0  | 82008  | 1.3284          | {'f1': 0.8836601307189542} | {'accuracy': 0.8293384467881112} |
| 0.0145        | 307.0  | 82276  | 1.3406          | {'f1': 0.8856956237753103} | {'accuracy': 0.8322147651006712} |
| 0.0147        | 308.0  | 82544  | 1.4323          | {'f1': 0.8811369509043928} | {'accuracy': 0.8235858101629914} |
| 0.0147        | 309.0  | 82812  | 1.6174          | {'f1': 0.876504116529449}  | {'accuracy': 0.8130393096836049} |
| 0.0107        | 310.0  | 83080  | 1.4536          | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0107        | 311.0  | 83348  | 1.4044          | {'f1': 0.8832684824902725} | {'accuracy': 0.8274209012464045} |
| 0.0136        | 312.0  | 83616  | 1.4966          | {'f1': 0.8782051282051283} | {'accuracy': 0.8178331735378715} |
| 0.0136        | 313.0  | 83884  | 1.4544          | {'f1': 0.8831504196255648} | {'accuracy': 0.8264621284755513} |
| 0.0124        | 314.0  | 84152  | 1.4256          | {'f1': 0.8864373783257624} | {'accuracy': 0.8322147651006712} |
| 0.0124        | 315.0  | 84420  | 1.6062          | {'f1': 0.8769035532994924} | {'accuracy': 0.8139980824544583} |
| 0.0137        | 316.0  | 84688  | 1.4248          | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0137        | 317.0  | 84956  | 1.4658          | {'f1': 0.8877352368591824} | {'accuracy': 0.8341323106423778} |
| 0.0116        | 318.0  | 85224  | 1.4462          | {'f1': 0.8793324775353017} | {'accuracy': 0.8197507190795782} |
| 0.0116        | 319.0  | 85492  | 1.5458          | {'f1': 0.8811817597944765} | {'accuracy': 0.822627037392138}  |
| 0.0156        | 320.0  | 85760  | 1.5287          | {'f1': 0.8796414852752881} | {'accuracy': 0.8197507190795782} |
| 0.0157        | 321.0  | 86028  | 1.5019          | {'f1': 0.8809218950064021} | {'accuracy': 0.8216682646212847} |
| 0.0157        | 322.0  | 86296  | 1.5553          | {'f1': 0.8807692307692307} | {'accuracy': 0.8216682646212847} |
| 0.0087        | 323.0  | 86564  | 1.6571          | {'f1': 0.8763474952441344} | {'accuracy': 0.8130393096836049} |
| 0.0087        | 324.0  | 86832  | 1.5864          | {'f1': 0.875875238701464}  | {'accuracy': 0.8130393096836049} |
| 0.013         | 325.0  | 87100  | 1.5069          | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138}  |
| 0.013         | 326.0  | 87368  | 1.4781          | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.0102        | 327.0  | 87636  | 1.4443          | {'f1': 0.8804702808621816} | {'accuracy': 0.8245445829338447} |
| 0.0102        | 328.0  | 87904  | 1.4922          | {'f1': 0.8810916179337233} | {'accuracy': 0.8245445829338447} |
| 0.0139        | 329.0  | 88172  | 1.4810          | {'f1': 0.8780169602087411} | {'accuracy': 0.8207094918504314} |
| 0.0139        | 330.0  | 88440  | 1.4784          | {'f1': 0.878334417696812}  | {'accuracy': 0.8207094918504314} |
| 0.0138        | 331.0  | 88708  | 1.3542          | {'f1': 0.8825857519788918} | {'accuracy': 0.8293384467881112} |
| 0.0138        | 332.0  | 88976  | 1.4242          | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0135        | 333.0  | 89244  | 1.4874          | {'f1': 0.8787684413085312} | {'accuracy': 0.8187919463087249} |
| 0.0096        | 334.0  | 89512  | 1.5670          | {'f1': 0.8766773162939298} | {'accuracy': 0.8149568552253116} |
| 0.0096        | 335.0  | 89780  | 1.5331          | {'f1': 0.8768347160178686} | {'accuracy': 0.8149568552253116} |
| 0.013         | 336.0  | 90048  | 1.4601          | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698}  |
| 0.013         | 337.0  | 90316  | 1.5601          | {'f1': 0.876504116529449}  | {'accuracy': 0.8130393096836049} |
| 0.0145        | 338.0  | 90584  | 1.4931          | {'f1': 0.8746803069053708} | {'accuracy': 0.8120805369127517} |
| 0.0145        | 339.0  | 90852  | 1.3012          | {'f1': 0.8826229508196721} | {'accuracy': 0.8283796740172579} |
| 0.0148        | 340.0  | 91120  | 1.3760          | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0148        | 341.0  | 91388  | 1.4703          | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0095        | 342.0  | 91656  | 1.5649          | {'f1': 0.8720856962822935} | {'accuracy': 0.8053691275167785} |
| 0.0095        | 343.0  | 91924  | 1.3966          | {'f1': 0.876923076923077}  | {'accuracy': 0.8159156279961649} |
| 0.0182        | 344.0  | 92192  | 1.3769          | {'f1': 0.881859264041317}  | {'accuracy': 0.8245445829338447} |
| 0.0182        | 345.0  | 92460  | 1.4172          | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0118        | 346.0  | 92728  | 1.3936          | {'f1': 0.8790637191157347} | {'accuracy': 0.8216682646212847} |
| 0.0118        | 347.0  | 92996  | 1.4685          | {'f1': 0.880103694102398}  | {'accuracy': 0.822627037392138}  |
| 0.0105        | 348.0  | 93264  | 1.6799          | {'f1': 0.8710493046776233} | {'accuracy': 0.8044103547459253} |
| 0.0087        | 349.0  | 93532  | 1.5547          | {'f1': 0.8753213367609254} | {'accuracy': 0.8139980824544583} |
| 0.0087        | 350.0  | 93800  | 1.4689          | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.0101        | 351.0  | 94068  | 1.5760          | {'f1': 0.8741123305358297} | {'accuracy': 0.8130393096836049} |
| 0.0101        | 352.0  | 94336  | 1.5638          | {'f1': 0.8774193548387096} | {'accuracy': 0.8178331735378715} |
| 0.0103        | 353.0  | 94604  | 1.5473          | {'f1': 0.8771929824561404} | {'accuracy': 0.8187919463087249} |
| 0.0103        | 354.0  | 94872  | 1.5289          | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.0137        | 355.0  | 95140  | 1.4850          | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.0137        | 356.0  | 95408  | 1.5065          | {'f1': 0.8808757244043787} | {'accuracy': 0.822627037392138}  |
| 0.0092        | 357.0  | 95676  | 1.5330          | {'f1': 0.8797427652733119} | {'accuracy': 0.8207094918504314} |
| 0.0092        | 358.0  | 95944  | 1.5386          | {'f1': 0.8803088803088803} | {'accuracy': 0.8216682646212847} |
| 0.0077        | 359.0  | 96212  | 1.6138          | {'f1': 0.8768347160178686} | {'accuracy': 0.8149568552253116} |
| 0.0077        | 360.0  | 96480  | 1.5900          | {'f1': 0.8796414852752881} | {'accuracy': 0.8197507190795782} |
| 0.0113        | 361.0  | 96748  | 1.4811          | {'f1': 0.8801571709233792} | {'accuracy': 0.8245445829338447} |
| 0.0107        | 362.0  | 97016  | 1.6112          | {'f1': 0.8797427652733119} | {'accuracy': 0.8207094918504314} |
| 0.0107        | 363.0  | 97284  | 1.5311          | {'f1': 0.8780169602087411} | {'accuracy': 0.8207094918504314} |
| 0.0106        | 364.0  | 97552  | 1.6998          | {'f1': 0.8733290897517505} | {'accuracy': 0.8092042186001918} |
| 0.0106        | 365.0  | 97820  | 1.7060          | {'f1': 0.8732572877059569} | {'accuracy': 0.8082454458293384} |
| 0.0082        | 366.0  | 98088  | 1.5259          | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0082        | 367.0  | 98356  | 1.5302          | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0145        | 368.0  | 98624  | 1.4557          | {'f1': 0.8778576094056172} | {'accuracy': 0.8207094918504314} |
| 0.0145        | 369.0  | 98892  | 1.6232          | {'f1': 0.8801020408163266} | {'accuracy': 0.8197507190795782} |
| 0.0127        | 370.0  | 99160  | 1.5481          | {'f1': 0.8758002560819463} | {'accuracy': 0.8139980824544583} |
| 0.0127        | 371.0  | 99428  | 1.4528          | {'f1': 0.8786502271252432} | {'accuracy': 0.8207094918504314} |
| 0.0126        | 372.0  | 99696  | 1.4551          | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698}  |
| 0.0126        | 373.0  | 99964  | 1.3990          | {'f1': 0.8800521512385918} | {'accuracy': 0.8235858101629914} |
| 0.0115        | 374.0  | 100232 | 1.4816          | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0078        | 375.0  | 100500 | 1.5006          | {'f1': 0.8815104166666666} | {'accuracy': 0.825503355704698}  |
| 0.0078        | 376.0  | 100768 | 1.5941          | {'f1': 0.8768536428110896} | {'accuracy': 0.8168744007670182} |
| 0.0085        | 377.0  | 101036 | 1.4267          | {'f1': 0.8824306472919419} | {'accuracy': 0.8293384467881112} |
| 0.0085        | 378.0  | 101304 | 1.5218          | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.0092        | 379.0  | 101572 | 1.6128          | {'f1': 0.8745198463508322} | {'accuracy': 0.8120805369127517} |
| 0.0092        | 380.0  | 101840 | 1.5639          | {'f1': 0.8778920308483289} | {'accuracy': 0.8178331735378715} |
| 0.012         | 381.0  | 102108 | 1.4765          | {'f1': 0.8842380640941793} | {'accuracy': 0.8302972195589645} |
| 0.012         | 382.0  | 102376 | 1.3915          | {'f1': 0.8849206349206349} | {'accuracy': 0.8331735378715245} |
| 0.0117        | 383.0  | 102644 | 1.6245          | {'f1': 0.8764331210191082} | {'accuracy': 0.8139980824544583} |
| 0.0117        | 384.0  | 102912 | 1.4490          | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.011         | 385.0  | 103180 | 1.4457          | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.011         | 386.0  | 103448 | 1.5298          | {'f1': 0.8798972382787411} | {'accuracy': 0.8207094918504314} |
| 0.0095        | 387.0  | 103716 | 1.5325          | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.0095        | 388.0  | 103984 | 1.5028          | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.0095        | 389.0  | 104252 | 1.4893          | {'f1': 0.8836601307189542} | {'accuracy': 0.8293384467881112} |
| 0.0067        | 390.0  | 104520 | 1.5692          | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698}  |
| 0.0067        | 391.0  | 104788 | 1.6078          | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698}  |
| 0.0118        | 392.0  | 105056 | 1.6137          | {'f1': 0.8777348777348777} | {'accuracy': 0.8178331735378715} |
| 0.0118        | 393.0  | 105324 | 1.5219          | {'f1': 0.8805774278215224} | {'accuracy': 0.825503355704698}  |
| 0.01          | 394.0  | 105592 | 1.6412          | {'f1': 0.8808757244043787} | {'accuracy': 0.822627037392138}  |
| 0.01          | 395.0  | 105860 | 1.5922          | {'f1': 0.8766066838046273} | {'accuracy': 0.8159156279961649} |
| 0.0121        | 396.0  | 106128 | 1.6165          | {'f1': 0.8758842443729904} | {'accuracy': 0.8149568552253116} |
| 0.0121        | 397.0  | 106396 | 1.5361          | {'f1': 0.8774855676715844} | {'accuracy': 0.8168744007670182} |
| 0.0115        | 398.0  | 106664 | 1.6249          | {'f1': 0.8724489795918368} | {'accuracy': 0.8082454458293384} |
| 0.0115        | 399.0  | 106932 | 1.6412          | {'f1': 0.873490146217419}  | {'accuracy': 0.8092042186001918} |
| 0.0092        | 400.0  | 107200 | 1.5257          | {'f1': 0.8760545100584036} | {'accuracy': 0.8168744007670182} |
| 0.0092        | 401.0  | 107468 | 1.4811          | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.0096        | 402.0  | 107736 | 1.5744          | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.0106        | 403.0  | 108004 | 1.5878          | {'f1': 0.8764478764478765} | {'accuracy': 0.8159156279961649} |
| 0.0106        | 404.0  | 108272 | 1.4147          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.0112        | 405.0  | 108540 | 1.3842          | {'f1': 0.8797342192691031} | {'accuracy': 0.8264621284755513} |
| 0.0112        | 406.0  | 108808 | 1.5136          | {'f1': 0.8790218790218791} | {'accuracy': 0.8197507190795782} |
| 0.0075        | 407.0  | 109076 | 1.5032          | {'f1': 0.8792207792207791} | {'accuracy': 0.8216682646212847} |
| 0.0075        | 408.0  | 109344 | 1.5835          | {'f1': 0.8777633289986997} | {'accuracy': 0.8197507190795782} |
| 0.0056        | 409.0  | 109612 | 1.5578          | {'f1': 0.8778280542986426} | {'accuracy': 0.8187919463087249} |
| 0.0056        | 410.0  | 109880 | 1.6991          | {'f1': 0.8728434504792332} | {'accuracy': 0.8092042186001918} |
| 0.0096        | 411.0  | 110148 | 1.5665          | {'f1': 0.8729851708575114} | {'accuracy': 0.8111217641418984} |
| 0.0096        | 412.0  | 110416 | 1.5631          | {'f1': 0.8783610755441742} | {'accuracy': 0.8178331735378715} |
| 0.0151        | 413.0  | 110684 | 1.5457          | {'f1': 0.880722114764668}  | {'accuracy': 0.822627037392138}  |
| 0.0151        | 414.0  | 110952 | 1.6221          | {'f1': 0.8795878943979395} | {'accuracy': 0.8207094918504314} |
| 0.0084        | 415.0  | 111220 | 1.5175          | {'f1': 0.8805774278215224} | {'accuracy': 0.825503355704698}  |
| 0.0084        | 416.0  | 111488 | 1.5935          | {'f1': 0.879177377892031}  | {'accuracy': 0.8197507190795782} |
| 0.0091        | 417.0  | 111756 | 1.5765          | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.007         | 418.0  | 112024 | 1.5647          | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.007         | 419.0  | 112292 | 1.6711          | {'f1': 0.876991714467814}  | {'accuracy': 0.8149568552253116} |
| 0.0081        | 420.0  | 112560 | 1.6090          | {'f1': 0.8761904761904763} | {'accuracy': 0.8130393096836049} |
| 0.0081        | 421.0  | 112828 | 1.6167          | {'f1': 0.8792884371029226} | {'accuracy': 0.8178331735378715} |
| 0.0099        | 422.0  | 113096 | 1.6156          | {'f1': 0.8825031928480205} | {'accuracy': 0.8235858101629914} |
| 0.0099        | 423.0  | 113364 | 1.5027          | {'f1': 0.8875893437296947} | {'accuracy': 0.8341323106423778} |
| 0.0064        | 424.0  | 113632 | 1.5102          | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0064        | 425.0  | 113900 | 1.6203          | {'f1': 0.8820905035054175} | {'accuracy': 0.822627037392138}  |
| 0.0077        | 426.0  | 114168 | 1.6766          | {'f1': 0.8798474253019707} | {'accuracy': 0.8187919463087249} |
| 0.0077        | 427.0  | 114436 | 1.5527          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0079        | 428.0  | 114704 | 1.7084          | {'f1': 0.8766773162939298} | {'accuracy': 0.8149568552253116} |
| 0.0079        | 429.0  | 114972 | 1.6183          | {'f1': 0.8780487804878049} | {'accuracy': 0.8178331735378715} |
| 0.0131        | 430.0  | 115240 | 1.6240          | {'f1': 0.8768536428110896} | {'accuracy': 0.8168744007670182} |
| 0.0072        | 431.0  | 115508 | 1.6415          | {'f1': 0.8780487804878049} | {'accuracy': 0.8178331735378715} |
| 0.0072        | 432.0  | 115776 | 1.6909          | {'f1': 0.876117496807152}  | {'accuracy': 0.8139980824544583} |
| 0.009         | 433.0  | 116044 | 1.5275          | {'f1': 0.8782383419689119} | {'accuracy': 0.8197507190795782} |
| 0.009         | 434.0  | 116312 | 1.6566          | {'f1': 0.874282067645182}  | {'accuracy': 0.8111217641418984} |
| 0.0074        | 435.0  | 116580 | 1.5945          | {'f1': 0.8743523316062176} | {'accuracy': 0.8139980824544583} |
| 0.0074        | 436.0  | 116848 | 1.5992          | {'f1': 0.8778920308483289} | {'accuracy': 0.8178331735378715} |
| 0.0133        | 437.0  | 117116 | 1.5535          | {'f1': 0.8727272727272728} | {'accuracy': 0.8120805369127517} |
| 0.0133        | 438.0  | 117384 | 1.6961          | {'f1': 0.8727735368956744} | {'accuracy': 0.8082454458293384} |
| 0.0095        | 439.0  | 117652 | 1.5316          | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138}  |
| 0.0095        | 440.0  | 117920 | 1.5435          | {'f1': 0.8828828828828829} | {'accuracy': 0.825503355704698}  |
| 0.0104        | 441.0  | 118188 | 1.5398          | {'f1': 0.8814432989690721} | {'accuracy': 0.8235858101629914} |
| 0.0104        | 442.0  | 118456 | 1.5605          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.0064        | 443.0  | 118724 | 1.5464          | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.0064        | 444.0  | 118992 | 1.5863          | {'f1': 0.8790786948176584} | {'accuracy': 0.8187919463087249} |
| 0.0074        | 445.0  | 119260 | 1.6387          | {'f1': 0.8782051282051283} | {'accuracy': 0.8178331735378715} |
| 0.0102        | 446.0  | 119528 | 1.4629          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.0102        | 447.0  | 119796 | 1.5751          | {'f1': 0.8793324775353017} | {'accuracy': 0.8197507190795782} |
| 0.0068        | 448.0  | 120064 | 1.5163          | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138}  |
| 0.0068        | 449.0  | 120332 | 1.5133          | {'f1': 0.8803088803088803} | {'accuracy': 0.8216682646212847} |
| 0.009         | 450.0  | 120600 | 1.6518          | {'f1': 0.8755527479469362} | {'accuracy': 0.8111217641418984} |
| 0.009         | 451.0  | 120868 | 1.5062          | {'f1': 0.8861418347430059} | {'accuracy': 0.8322147651006712} |
| 0.0102        | 452.0  | 121136 | 1.5855          | {'f1': 0.8811817597944765} | {'accuracy': 0.822627037392138}  |
| 0.0102        | 453.0  | 121404 | 1.6158          | {'f1': 0.8800513149454778} | {'accuracy': 0.8207094918504314} |
| 0.0079        | 454.0  | 121672 | 1.4274          | {'f1': 0.8896232650363516} | {'accuracy': 0.8398849472674976} |
| 0.0079        | 455.0  | 121940 | 1.5318          | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0068        | 456.0  | 122208 | 1.4882          | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698}  |
| 0.0068        | 457.0  | 122476 | 1.7116          | {'f1': 0.8786346396965866} | {'accuracy': 0.8159156279961649} |
| 0.0077        | 458.0  | 122744 | 1.5184          | {'f1': 0.8801546391752577} | {'accuracy': 0.8216682646212847} |
| 0.0085        | 459.0  | 123012 | 1.6013          | {'f1': 0.8770806658130602} | {'accuracy': 0.8159156279961649} |
| 0.0085        | 460.0  | 123280 | 1.5985          | {'f1': 0.8764478764478765} | {'accuracy': 0.8159156279961649} |
| 0.0034        | 461.0  | 123548 | 1.5422          | {'f1': 0.8773523685918235} | {'accuracy': 0.8187919463087249} |
| 0.0034        | 462.0  | 123816 | 1.6222          | {'f1': 0.8774193548387096} | {'accuracy': 0.8178331735378715} |
| 0.0068        | 463.0  | 124084 | 1.7292          | {'f1': 0.8755583918315252} | {'accuracy': 0.8130393096836049} |
| 0.0068        | 464.0  | 124352 | 1.5538          | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0127        | 465.0  | 124620 | 1.4833          | {'f1': 0.8791064388961892} | {'accuracy': 0.8235858101629914} |
| 0.0127        | 466.0  | 124888 | 1.6038          | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.008         | 467.0  | 125156 | 1.5429          | {'f1': 0.8817065287653523} | {'accuracy': 0.8245445829338447} |
| 0.008         | 468.0  | 125424 | 1.6479          | {'f1': 0.8800513149454778} | {'accuracy': 0.8207094918504314} |
| 0.0065        | 469.0  | 125692 | 1.6177          | {'f1': 0.8798972382787411} | {'accuracy': 0.8207094918504314} |
| 0.0065        | 470.0  | 125960 | 1.5315          | {'f1': 0.8830486202365309} | {'accuracy': 0.8293384467881112} |
| 0.0041        | 471.0  | 126228 | 1.6585          | {'f1': 0.8814432989690721} | {'accuracy': 0.8235858101629914} |
| 0.0041        | 472.0  | 126496 | 1.6873          | {'f1': 0.8784213876511776} | {'accuracy': 0.8168744007670182} |
| 0.0071        | 473.0  | 126764 | 1.7731          | {'f1': 0.8743718592964824} | {'accuracy': 0.8082454458293384} |
| 0.0096        | 474.0  | 127032 | 1.6567          | {'f1': 0.8788265306122449} | {'accuracy': 0.8178331735378715} |
| 0.0096        | 475.0  | 127300 | 1.7165          | {'f1': 0.875875238701464}  | {'accuracy': 0.8130393096836049} |
| 0.0057        | 476.0  | 127568 | 1.6778          | {'f1': 0.8764478764478765} | {'accuracy': 0.8159156279961649} |
| 0.0057        | 477.0  | 127836 | 1.6206          | {'f1': 0.8793774319066148} | {'accuracy': 0.8216682646212847} |
| 0.0092        | 478.0  | 128104 | 1.5552          | {'f1': 0.8790637191157347} | {'accuracy': 0.8216682646212847} |
| 0.0092        | 479.0  | 128372 | 1.5869          | {'f1': 0.8782722513089006} | {'accuracy': 0.8216682646212847} |
| 0.0086        | 480.0  | 128640 | 1.6987          | {'f1': 0.8780487804878049} | {'accuracy': 0.8178331735378715} |
| 0.0086        | 481.0  | 128908 | 1.6270          | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.007         | 482.0  | 129176 | 1.6292          | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.007         | 483.0  | 129444 | 1.6255          | {'f1': 0.8782051282051283} | {'accuracy': 0.8178331735378715} |
| 0.0093        | 484.0  | 129712 | 1.5177          | {'f1': 0.8814229249011858} | {'accuracy': 0.8274209012464045} |
| 0.0093        | 485.0  | 129980 | 1.6926          | {'f1': 0.8771704180064309} | {'accuracy': 0.8168744007670182} |
| 0.0062        | 486.0  | 130248 | 1.5834          | {'f1': 0.880103694102398}  | {'accuracy': 0.822627037392138}  |
| 0.0065        | 487.0  | 130516 | 1.6238          | {'f1': 0.8795878943979395} | {'accuracy': 0.8207094918504314} |
| 0.0065        | 488.0  | 130784 | 1.5653          | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.0104        | 489.0  | 131052 | 1.5769          | {'f1': 0.8811369509043928} | {'accuracy': 0.8235858101629914} |
| 0.0104        | 490.0  | 131320 | 1.4955          | {'f1': 0.8856767411300921} | {'accuracy': 0.8331735378715245} |
| 0.0047        | 491.0  | 131588 | 1.6529          | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0047        | 492.0  | 131856 | 1.5815          | {'f1': 0.8796356538711776} | {'accuracy': 0.822627037392138}  |
| 0.0087        | 493.0  | 132124 | 1.5435          | {'f1': 0.8768020969855832} | {'accuracy': 0.8197507190795782} |
| 0.0087        | 494.0  | 132392 | 1.6697          | {'f1': 0.8758002560819463} | {'accuracy': 0.8139980824544583} |
| 0.0083        | 495.0  | 132660 | 1.6148          | {'f1': 0.8770806658130602} | {'accuracy': 0.8159156279961649} |
| 0.0083        | 496.0  | 132928 | 1.6866          | {'f1': 0.8766773162939298} | {'accuracy': 0.8149568552253116} |
| 0.0049        | 497.0  | 133196 | 1.5821          | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698}  |
| 0.0049        | 498.0  | 133464 | 1.6406          | {'f1': 0.8806161745827985} | {'accuracy': 0.8216682646212847} |
| 0.0078        | 499.0  | 133732 | 1.5764          | {'f1': 0.8774193548387096} | {'accuracy': 0.8178331735378715} |
| 0.0077        | 500.0  | 134000 | 1.5803          | {'f1': 0.880103694102398}  | {'accuracy': 0.822627037392138}  |
| 0.0077        | 501.0  | 134268 | 1.6356          | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.0072        | 502.0  | 134536 | 1.5161          | {'f1': 0.8856956237753103} | {'accuracy': 0.8322147651006712} |
| 0.0072        | 503.0  | 134804 | 1.7302          | {'f1': 0.8761904761904763} | {'accuracy': 0.8130393096836049} |
| 0.0082        | 504.0  | 135072 | 1.6365          | {'f1': 0.8792207792207791} | {'accuracy': 0.8216682646212847} |
| 0.0082        | 505.0  | 135340 | 1.5748          | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0066        | 506.0  | 135608 | 1.6967          | {'f1': 0.8764331210191082} | {'accuracy': 0.8139980824544583} |
| 0.0066        | 507.0  | 135876 | 1.5747          | {'f1': 0.8791064388961892} | {'accuracy': 0.8235858101629914} |
| 0.006         | 508.0  | 136144 | 1.6261          | {'f1': 0.878334417696812}  | {'accuracy': 0.8207094918504314} |
| 0.006         | 509.0  | 136412 | 1.7697          | {'f1': 0.8734015345268541} | {'accuracy': 0.8101629913710451} |
| 0.006         | 510.0  | 136680 | 1.7500          | {'f1': 0.8763613068545804} | {'accuracy': 0.8149568552253116} |
| 0.006         | 511.0  | 136948 | 1.6436          | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0063        | 512.0  | 137216 | 1.6400          | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0063        | 513.0  | 137484 | 1.9283          | {'f1': 0.8717624763108023} | {'accuracy': 0.8053691275167785} |
| 0.007         | 514.0  | 137752 | 1.6641          | {'f1': 0.8817480719794344} | {'accuracy': 0.8235858101629914} |
| 0.0097        | 515.0  | 138020 | 1.6543          | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.0097        | 516.0  | 138288 | 1.6937          | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0054        | 517.0  | 138556 | 1.6774          | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0054        | 518.0  | 138824 | 1.7553          | {'f1': 0.8753993610223643} | {'accuracy': 0.8130393096836049} |
| 0.0068        | 519.0  | 139092 | 1.6472          | {'f1': 0.880674448767834}  | {'accuracy': 0.8235858101629914} |
| 0.0068        | 520.0  | 139360 | 1.6008          | {'f1': 0.8809993425378042} | {'accuracy': 0.8264621284755513} |
| 0.0104        | 521.0  | 139628 | 1.7428          | {'f1': 0.875968992248062}  | {'accuracy': 0.8159156279961649} |
| 0.0104        | 522.0  | 139896 | 1.7010          | {'f1': 0.8766946417043254} | {'accuracy': 0.8168744007670182} |
| 0.0048        | 523.0  | 140164 | 1.7071          | {'f1': 0.8779857972885732} | {'accuracy': 0.8187919463087249} |
| 0.0048        | 524.0  | 140432 | 1.7259          | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.0071        | 525.0  | 140700 | 1.7475          | {'f1': 0.8775773195876289} | {'accuracy': 0.8178331735378715} |
| 0.0071        | 526.0  | 140968 | 1.7191          | {'f1': 0.8782383419689119} | {'accuracy': 0.8197507190795782} |
| 0.0061        | 527.0  | 141236 | 1.7251          | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0055        | 528.0  | 141504 | 1.7330          | {'f1': 0.8774193548387096} | {'accuracy': 0.8178331735378715} |
| 0.0055        | 529.0  | 141772 | 1.5532          | {'f1': 0.8818061088977424} | {'accuracy': 0.8293384467881112} |
| 0.0071        | 530.0  | 142040 | 1.6792          | {'f1': 0.87890625}         | {'accuracy': 0.8216682646212847} |
| 0.0071        | 531.0  | 142308 | 1.7657          | {'f1': 0.8777991042866283} | {'accuracy': 0.8168744007670182} |
| 0.0057        | 532.0  | 142576 | 1.6605          | {'f1': 0.8800521512385918} | {'accuracy': 0.8235858101629914} |
| 0.0057        | 533.0  | 142844 | 1.6630          | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0043        | 534.0  | 143112 | 1.8157          | {'f1': 0.8770806658130602} | {'accuracy': 0.8159156279961649} |
| 0.0043        | 535.0  | 143380 | 1.6377          | {'f1': 0.8807817589576548} | {'accuracy': 0.8245445829338447} |
| 0.0064        | 536.0  | 143648 | 1.7094          | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0064        | 537.0  | 143916 | 1.7565          | {'f1': 0.876117496807152}  | {'accuracy': 0.8139980824544583} |
| 0.006         | 538.0  | 144184 | 1.6098          | {'f1': 0.8837820091923834} | {'accuracy': 0.8302972195589645} |
| 0.006         | 539.0  | 144452 | 1.6052          | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0107        | 540.0  | 144720 | 1.6235          | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138}  |
| 0.0107        | 541.0  | 144988 | 1.6989          | {'f1': 0.8793324775353017} | {'accuracy': 0.8197507190795782} |
| 0.0028        | 542.0  | 145256 | 1.6351          | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.0093        | 543.0  | 145524 | 1.5489          | {'f1': 0.8777633289986997} | {'accuracy': 0.8197507190795782} |
| 0.0093        | 544.0  | 145792 | 1.6381          | {'f1': 0.8806161745827985} | {'accuracy': 0.8216682646212847} |
| 0.0082        | 545.0  | 146060 | 1.5306          | {'f1': 0.8810457516339869} | {'accuracy': 0.825503355704698}  |
| 0.0082        | 546.0  | 146328 | 1.6200          | {'f1': 0.8785529715762274} | {'accuracy': 0.8197507190795782} |
| 0.0046        | 547.0  | 146596 | 1.6476          | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.0046        | 548.0  | 146864 | 1.5664          | {'f1': 0.8806262230919765} | {'accuracy': 0.8245445829338447} |
| 0.0075        | 549.0  | 147132 | 1.6444          | {'f1': 0.8784925276153347} | {'accuracy': 0.8207094918504314} |
| 0.0075        | 550.0  | 147400 | 1.7417          | {'f1': 0.8754034861200773} | {'accuracy': 0.8149568552253116} |
| 0.0043        | 551.0  | 147668 | 1.7776          | {'f1': 0.8725176169122358} | {'accuracy': 0.8092042186001918} |
| 0.0043        | 552.0  | 147936 | 1.8581          | {'f1': 0.8712121212121213} | {'accuracy': 0.8044103547459253} |
| 0.008         | 553.0  | 148204 | 1.5995          | {'f1': 0.8806262230919765} | {'accuracy': 0.8245445829338447} |
| 0.008         | 554.0  | 148472 | 1.7457          | {'f1': 0.8717948717948718} | {'accuracy': 0.8082454458293384} |
| 0.0058        | 555.0  | 148740 | 1.6409          | {'f1': 0.874274661508704}  | {'accuracy': 0.8130393096836049} |
| 0.0076        | 556.0  | 149008 | 1.6940          | {'f1': 0.8745980707395499} | {'accuracy': 0.8130393096836049} |
| 0.0076        | 557.0  | 149276 | 1.7115          | {'f1': 0.872258064516129}  | {'accuracy': 0.8101629913710451} |
| 0.0033        | 558.0  | 149544 | 1.7159          | {'f1': 0.8750809061488675} | {'accuracy': 0.8149568552253116} |
| 0.0033        | 559.0  | 149812 | 1.7610          | {'f1': 0.8760436737315349} | {'accuracy': 0.8149568552253116} |
| 0.007         | 560.0  | 150080 | 1.8160          | {'f1': 0.875724404378622}  | {'accuracy': 0.8149568552253116} |
| 0.007         | 561.0  | 150348 | 1.8065          | {'f1': 0.8752424046541694} | {'accuracy': 0.8149568552253116} |
| 0.006         | 562.0  | 150616 | 1.8686          | {'f1': 0.8771483131763208} | {'accuracy': 0.8149568552253116} |
| 0.006         | 563.0  | 150884 | 1.6342          | {'f1': 0.8788075178224238} | {'accuracy': 0.8207094918504314} |
| 0.0115        | 564.0  | 151152 | 1.6630          | {'f1': 0.8790218790218791} | {'accuracy': 0.8197507190795782} |
| 0.0115        | 565.0  | 151420 | 1.6109          | {'f1': 0.8794788273615636} | {'accuracy': 0.822627037392138}  |
| 0.0068        | 566.0  | 151688 | 1.5944          | {'f1': 0.8776699029126214} | {'accuracy': 0.8187919463087249} |
| 0.0068        | 567.0  | 151956 | 1.5621          | {'f1': 0.8794233289646134} | {'accuracy': 0.8235858101629914} |
| 0.0076        | 568.0  | 152224 | 1.8731          | {'f1': 0.8719242902208201} | {'accuracy': 0.8053691275167785} |
| 0.0076        | 569.0  | 152492 | 1.6145          | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0078        | 570.0  | 152760 | 1.5479          | {'f1': 0.8814669286182057} | {'accuracy': 0.8264621284755513} |
| 0.0091        | 571.0  | 153028 | 1.5595          | {'f1': 0.880674448767834}  | {'accuracy': 0.8235858101629914} |
| 0.0091        | 572.0  | 153296 | 1.7412          | {'f1': 0.8723809523809525} | {'accuracy': 0.8072866730584851} |
| 0.0053        | 573.0  | 153564 | 1.6270          | {'f1': 0.8765352294764059} | {'accuracy': 0.8168744007670182} |
| 0.0053        | 574.0  | 153832 | 1.7433          | {'f1': 0.8734177215189873} | {'accuracy': 0.8082454458293384} |
| 0.0066        | 575.0  | 154100 | 1.6253          | {'f1': 0.8778280542986426} | {'accuracy': 0.8187919463087249} |
| 0.0066        | 576.0  | 154368 | 1.6452          | {'f1': 0.8770122343850613} | {'accuracy': 0.8168744007670182} |
| 0.0039        | 577.0  | 154636 | 1.5797          | {'f1': 0.8828125}          | {'accuracy': 0.8274209012464045} |
| 0.0039        | 578.0  | 154904 | 1.5768          | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.0057        | 579.0  | 155172 | 1.5973          | {'f1': 0.8772609819121446} | {'accuracy': 0.8178331735378715} |
| 0.0057        | 580.0  | 155440 | 1.7696          | {'f1': 0.8738853503184713} | {'accuracy': 0.8101629913710451} |
| 0.0051        | 581.0  | 155708 | 1.6236          | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.0051        | 582.0  | 155976 | 1.6985          | {'f1': 0.8774855676715844} | {'accuracy': 0.8168744007670182} |
| 0.0058        | 583.0  | 156244 | 1.7124          | {'f1': 0.876765083440308}  | {'accuracy': 0.8159156279961649} |
| 0.0049        | 584.0  | 156512 | 1.6080          | {'f1': 0.8800521512385918} | {'accuracy': 0.8235858101629914} |
| 0.0049        | 585.0  | 156780 | 1.8090          | {'f1': 0.8764331210191082} | {'accuracy': 0.8139980824544583} |
| 0.0052        | 586.0  | 157048 | 1.7793          | {'f1': 0.8735632183908045} | {'accuracy': 0.8101629913710451} |
| 0.0052        | 587.0  | 157316 | 1.6669          | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0034        | 588.0  | 157584 | 1.8463          | {'f1': 0.872680742162508}  | {'accuracy': 0.8092042186001918} |
| 0.0034        | 589.0  | 157852 | 1.8558          | {'f1': 0.8746021642266074} | {'accuracy': 0.8111217641418984} |
| 0.0056        | 590.0  | 158120 | 1.7290          | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.0056        | 591.0  | 158388 | 1.6278          | {'f1': 0.8819308545335943} | {'accuracy': 0.8264621284755513} |
| 0.006         | 592.0  | 158656 | 1.6006          | {'f1': 0.8805280528052805} | {'accuracy': 0.8264621284755513} |
| 0.006         | 593.0  | 158924 | 1.8143          | {'f1': 0.8727735368956744} | {'accuracy': 0.8082454458293384} |
| 0.0079        | 594.0  | 159192 | 1.6530          | {'f1': 0.876943005181347}  | {'accuracy': 0.8178331735378715} |
| 0.0079        | 595.0  | 159460 | 1.7267          | {'f1': 0.8741976893453146} | {'accuracy': 0.8120805369127517} |
| 0.0035        | 596.0  | 159728 | 1.7158          | {'f1': 0.8739495798319327} | {'accuracy': 0.8130393096836049} |
| 0.0035        | 597.0  | 159996 | 1.6977          | {'f1': 0.874025974025974}  | {'accuracy': 0.8139980824544583} |
| 0.0034        | 598.0  | 160264 | 1.7460          | {'f1': 0.8761408083441983} | {'accuracy': 0.8178331735378715} |
| 0.0055        | 599.0  | 160532 | 1.8796          | {'f1': 0.8726114649681528} | {'accuracy': 0.8082454458293384} |
| 0.0055        | 600.0  | 160800 | 1.6903          | {'f1': 0.8749189889825016} | {'accuracy': 0.8149568552253116} |
| 0.0095        | 601.0  | 161068 | 1.8035          | {'f1': 0.870453095086152}  | {'accuracy': 0.8053691275167785} |
| 0.0095        | 602.0  | 161336 | 1.7779          | {'f1': 0.872680742162508}  | {'accuracy': 0.8092042186001918} |
| 0.0047        | 603.0  | 161604 | 1.7869          | {'f1': 0.8703465982028241} | {'accuracy': 0.8063279002876318} |
| 0.0047        | 604.0  | 161872 | 1.8860          | {'f1': 0.8715012722646311} | {'accuracy': 0.8063279002876318} |
| 0.0047        | 605.0  | 162140 | 1.6485          | {'f1': 0.877444589308996}  | {'accuracy': 0.8197507190795782} |
| 0.0047        | 606.0  | 162408 | 1.6368          | {'f1': 0.8753246753246753} | {'accuracy': 0.8159156279961649} |
| 0.007         | 607.0  | 162676 | 1.7010          | {'f1': 0.8755641521598968} | {'accuracy': 0.8149568552253116} |
| 0.007         | 608.0  | 162944 | 1.6477          | {'f1': 0.875}              | {'accuracy': 0.8159156279961649} |
| 0.0039        | 609.0  | 163212 | 1.7227          | {'f1': 0.8766946417043254} | {'accuracy': 0.8168744007670182} |
| 0.0039        | 610.0  | 163480 | 1.6724          | {'f1': 0.8758085381630013} | {'accuracy': 0.8159156279961649} |
| 0.0065        | 611.0  | 163748 | 1.7402          | {'f1': 0.8787684413085312} | {'accuracy': 0.8187919463087249} |
| 0.0057        | 612.0  | 164016 | 1.6429          | {'f1': 0.8787483702737942} | {'accuracy': 0.8216682646212847} |
| 0.0057        | 613.0  | 164284 | 1.7085          | {'f1': 0.8766773162939298} | {'accuracy': 0.8149568552253116} |
| 0.0079        | 614.0  | 164552 | 1.5554          | {'f1': 0.8791639451338994} | {'accuracy': 0.822627037392138}  |
| 0.0079        | 615.0  | 164820 | 1.6716          | {'f1': 0.8777348777348777} | {'accuracy': 0.8178331735378715} |
| 0.0076        | 616.0  | 165088 | 1.5445          | {'f1': 0.8802631578947369} | {'accuracy': 0.825503355704698}  |
| 0.0076        | 617.0  | 165356 | 1.6435          | {'f1': 0.8751608751608753} | {'accuracy': 0.8139980824544583} |
| 0.0056        | 618.0  | 165624 | 1.6635          | {'f1': 0.8787684413085312} | {'accuracy': 0.8187919463087249} |
| 0.0056        | 619.0  | 165892 | 1.6575          | {'f1': 0.8750809061488675} | {'accuracy': 0.8149568552253116} |
| 0.0051        | 620.0  | 166160 | 1.5946          | {'f1': 0.8763897972531065} | {'accuracy': 0.8187919463087249} |
| 0.0051        | 621.0  | 166428 | 1.6229          | {'f1': 0.8764629388816645} | {'accuracy': 0.8178331735378715} |
| 0.0041        | 622.0  | 166696 | 1.8007          | {'f1': 0.8746803069053708} | {'accuracy': 0.8120805369127517} |
| 0.0041        | 623.0  | 166964 | 1.6322          | {'f1': 0.877444589308996}  | {'accuracy': 0.8197507190795782} |
| 0.0049        | 624.0  | 167232 | 1.7678          | {'f1': 0.8752399232245682} | {'accuracy': 0.8130393096836049} |
| 0.0077        | 625.0  | 167500 | 1.6739          | {'f1': 0.8728923476005188} | {'accuracy': 0.8120805369127517} |
| 0.0077        | 626.0  | 167768 | 1.6843          | {'f1': 0.8778280542986426} | {'accuracy': 0.8187919463087249} |
| 0.0059        | 627.0  | 168036 | 1.6263          | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.0059        | 628.0  | 168304 | 1.5140          | {'f1': 0.8799472295514512} | {'accuracy': 0.825503355704698}  |
| 0.0043        | 629.0  | 168572 | 1.6523          | {'f1': 0.8808757244043787} | {'accuracy': 0.822627037392138}  |
| 0.0043        | 630.0  | 168840 | 1.6856          | {'f1': 0.879177377892031}  | {'accuracy': 0.8197507190795782} |
| 0.0044        | 631.0  | 169108 | 1.6593          | {'f1': 0.8779857972885732} | {'accuracy': 0.8187919463087249} |
| 0.0044        | 632.0  | 169376 | 1.5858          | {'f1': 0.8819308545335943} | {'accuracy': 0.8264621284755513} |
| 0.005         | 633.0  | 169644 | 1.6205          | {'f1': 0.8815104166666666} | {'accuracy': 0.825503355704698}  |
| 0.005         | 634.0  | 169912 | 1.7306          | {'f1': 0.8793324775353017} | {'accuracy': 0.8197507190795782} |
| 0.0068        | 635.0  | 170180 | 1.5782          | {'f1': 0.8793774319066148} | {'accuracy': 0.8216682646212847} |
| 0.0068        | 636.0  | 170448 | 1.6286          | {'f1': 0.8766946417043254} | {'accuracy': 0.8168744007670182} |
| 0.007         | 637.0  | 170716 | 1.5340          | {'f1': 0.8794788273615636} | {'accuracy': 0.822627037392138}  |
| 0.007         | 638.0  | 170984 | 1.6775          | {'f1': 0.873490146217419}  | {'accuracy': 0.8092042186001918} |
| 0.0071        | 639.0  | 171252 | 1.4314          | {'f1': 0.8823142669296515} | {'accuracy': 0.8283796740172579} |
| 0.0059        | 640.0  | 171520 | 1.5496          | {'f1': 0.8845654993514916} | {'accuracy': 0.8293384467881112} |
| 0.0059        | 641.0  | 171788 | 1.6745          | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.0037        | 642.0  | 172056 | 1.6000          | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0037        | 643.0  | 172324 | 1.8842          | {'f1': 0.8722466960352422} | {'accuracy': 0.8053691275167785} |
| 0.0058        | 644.0  | 172592 | 1.6105          | {'f1': 0.8817766165904638} | {'accuracy': 0.8264621284755513} |
| 0.0058        | 645.0  | 172860 | 1.5538          | {'f1': 0.8821192052980134} | {'accuracy': 0.8293384467881112} |
| 0.0069        | 646.0  | 173128 | 1.6187          | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0069        | 647.0  | 173396 | 1.4811          | {'f1': 0.8825857519788918} | {'accuracy': 0.8293384467881112} |
| 0.0044        | 648.0  | 173664 | 1.6093          | {'f1': 0.8797953964194373} | {'accuracy': 0.8197507190795782} |
| 0.0044        | 649.0  | 173932 | 1.5749          | {'f1': 0.8834513844172568} | {'accuracy': 0.8264621284755513} |
| 0.005         | 650.0  | 174200 | 1.5911          | {'f1': 0.8808757244043787} | {'accuracy': 0.822627037392138}  |
| 0.005         | 651.0  | 174468 | 1.5948          | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.0067        | 652.0  | 174736 | 1.6279          | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.0047        | 653.0  | 175004 | 1.4843          | {'f1': 0.8860927152317881} | {'accuracy': 0.835091083413231}  |
| 0.0047        | 654.0  | 175272 | 1.6797          | {'f1': 0.880103694102398}  | {'accuracy': 0.822627037392138}  |
| 0.0027        | 655.0  | 175540 | 1.6829          | {'f1': 0.8810916179337233} | {'accuracy': 0.8245445829338447} |
| 0.0027        | 656.0  | 175808 | 1.6556          | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0065        | 657.0  | 176076 | 1.6331          | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0065        | 658.0  | 176344 | 1.5479          | {'f1': 0.8860589812332439} | {'accuracy': 0.8370086289549377} |
| 0.0058        | 659.0  | 176612 | 1.7328          | {'f1': 0.8782051282051283} | {'accuracy': 0.8178331735378715} |
| 0.0058        | 660.0  | 176880 | 1.6440          | {'f1': 0.8815104166666666} | {'accuracy': 0.825503355704698}  |
| 0.0053        | 661.0  | 177148 | 1.7026          | {'f1': 0.8777633289986997} | {'accuracy': 0.8197507190795782} |
| 0.0053        | 662.0  | 177416 | 1.7220          | {'f1': 0.8773281952472703} | {'accuracy': 0.8168744007670182} |
| 0.0054        | 663.0  | 177684 | 1.7106          | {'f1': 0.8787684413085312} | {'accuracy': 0.8187919463087249} |
| 0.0054        | 664.0  | 177952 | 1.6862          | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0052        | 665.0  | 178220 | 1.6845          | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.0052        | 666.0  | 178488 | 1.7543          | {'f1': 0.8790218790218791} | {'accuracy': 0.8197507190795782} |
| 0.0052        | 667.0  | 178756 | 1.6313          | {'f1': 0.8790637191157347} | {'accuracy': 0.8216682646212847} |
| 0.0085        | 668.0  | 179024 | 1.6752          | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0085        | 669.0  | 179292 | 1.6499          | {'f1': 0.8810916179337233} | {'accuracy': 0.8245445829338447} |
| 0.0044        | 670.0  | 179560 | 1.7159          | {'f1': 0.8758085381630013} | {'accuracy': 0.8159156279961649} |
| 0.0044        | 671.0  | 179828 | 1.6521          | {'f1': 0.881201044386423}  | {'accuracy': 0.825503355704698}  |
| 0.0069        | 672.0  | 180096 | 1.6122          | {'f1': 0.8798955613577023} | {'accuracy': 0.8235858101629914} |
| 0.0069        | 673.0  | 180364 | 1.6488          | {'f1': 0.877444589308996}  | {'accuracy': 0.8197507190795782} |
| 0.0072        | 674.0  | 180632 | 1.6800          | {'f1': 0.8788075178224238} | {'accuracy': 0.8207094918504314} |
| 0.0072        | 675.0  | 180900 | 1.7574          | {'f1': 0.8765352294764059} | {'accuracy': 0.8168744007670182} |
| 0.004         | 676.0  | 181168 | 1.6408          | {'f1': 0.8827766863130322} | {'accuracy': 0.8283796740172579} |
| 0.004         | 677.0  | 181436 | 1.6744          | {'f1': 0.881201044386423}  | {'accuracy': 0.825503355704698}  |
| 0.0055        | 678.0  | 181704 | 1.7759          | {'f1': 0.8781431334622825} | {'accuracy': 0.8187919463087249} |
| 0.0055        | 679.0  | 181972 | 1.8183          | {'f1': 0.8739603326935381} | {'accuracy': 0.8111217641418984} |
| 0.0059        | 680.0  | 182240 | 1.8144          | {'f1': 0.8755641521598968} | {'accuracy': 0.8149568552253116} |
| 0.0065        | 681.0  | 182508 | 1.6445          | {'f1': 0.8803139306736429} | {'accuracy': 0.8245445829338447} |
| 0.0065        | 682.0  | 182776 | 1.7231          | {'f1': 0.878334417696812}  | {'accuracy': 0.8207094918504314} |
| 0.0051        | 683.0  | 183044 | 1.7208          | {'f1': 0.8808900523560209} | {'accuracy': 0.825503355704698}  |
| 0.0051        | 684.0  | 183312 | 1.7769          | {'f1': 0.8750809061488675} | {'accuracy': 0.8149568552253116} |
| 0.0053        | 685.0  | 183580 | 1.7528          | {'f1': 0.8753246753246753} | {'accuracy': 0.8159156279961649} |
| 0.0053        | 686.0  | 183848 | 1.7685          | {'f1': 0.8760545100584036} | {'accuracy': 0.8168744007670182} |
| 0.005         | 687.0  | 184116 | 1.7305          | {'f1': 0.8771929824561404} | {'accuracy': 0.8187919463087249} |
| 0.005         | 688.0  | 184384 | 1.7494          | {'f1': 0.8766233766233766} | {'accuracy': 0.8178331735378715} |
| 0.0037        | 689.0  | 184652 | 1.6860          | {'f1': 0.8798424162836507} | {'accuracy': 0.8245445829338447} |
| 0.0037        | 690.0  | 184920 | 1.7626          | {'f1': 0.875893437296946}  | {'accuracy': 0.8168744007670182} |
| 0.0041        | 691.0  | 185188 | 1.7876          | {'f1': 0.8762151652624757} | {'accuracy': 0.8168744007670182} |
| 0.0041        | 692.0  | 185456 | 1.7242          | {'f1': 0.875893437296946}  | {'accuracy': 0.8168744007670182} |
| 0.0045        | 693.0  | 185724 | 1.8107          | {'f1': 0.8729139922978177} | {'accuracy': 0.8101629913710451} |
| 0.0045        | 694.0  | 185992 | 1.7086          | {'f1': 0.8771021992238034} | {'accuracy': 0.8178331735378715} |
| 0.005         | 695.0  | 186260 | 1.6863          | {'f1': 0.8788075178224238} | {'accuracy': 0.8207094918504314} |
| 0.0072        | 696.0  | 186528 | 1.5648          | {'f1': 0.8818481848184818} | {'accuracy': 0.8283796740172579} |
| 0.0072        | 697.0  | 186796 | 1.7455          | {'f1': 0.876765083440308}  | {'accuracy': 0.8159156279961649} |
| 0.0045        | 698.0  | 187064 | 1.6478          | {'f1': 0.8817766165904638} | {'accuracy': 0.8264621284755513} |
| 0.0045        | 699.0  | 187332 | 1.7030          | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.0031        | 700.0  | 187600 | 1.9555          | {'f1': 0.8724747474747474} | {'accuracy': 0.8063279002876318} |
| 0.0031        | 701.0  | 187868 | 1.6503          | {'f1': 0.8815354070152218} | {'accuracy': 0.8283796740172579} |
| 0.0071        | 702.0  | 188136 | 1.7643          | {'f1': 0.8775113415424498} | {'accuracy': 0.8187919463087249} |
| 0.0071        | 703.0  | 188404 | 1.6566          | {'f1': 0.8790058862001309} | {'accuracy': 0.822627037392138}  |
| 0.0076        | 704.0  | 188672 | 1.7519          | {'f1': 0.8775113415424498} | {'accuracy': 0.8187919463087249} |
| 0.0076        | 705.0  | 188940 | 1.7657          | {'f1': 0.8751608751608753} | {'accuracy': 0.8139980824544583} |
| 0.003         | 706.0  | 189208 | 1.7131          | {'f1': 0.8787483702737942} | {'accuracy': 0.8216682646212847} |
| 0.003         | 707.0  | 189476 | 1.6405          | {'f1': 0.8814669286182057} | {'accuracy': 0.8264621284755513} |
| 0.0068        | 708.0  | 189744 | 1.7380          | {'f1': 0.8784925276153347} | {'accuracy': 0.8207094918504314} |
| 0.0022        | 709.0  | 190012 | 1.7929          | {'f1': 0.8753213367609254} | {'accuracy': 0.8139980824544583} |
| 0.0022        | 710.0  | 190280 | 1.8563          | {'f1': 0.870453095086152}  | {'accuracy': 0.8053691275167785} |
| 0.008         | 711.0  | 190548 | 1.6662          | {'f1': 0.8766233766233766} | {'accuracy': 0.8178331735378715} |
| 0.008         | 712.0  | 190816 | 1.6160          | {'f1': 0.8776315789473685} | {'accuracy': 0.8216682646212847} |
| 0.0043        | 713.0  | 191084 | 1.6463          | {'f1': 0.8766233766233766} | {'accuracy': 0.8178331735378715} |
| 0.0043        | 714.0  | 191352 | 1.7676          | {'f1': 0.8707829408020369} | {'accuracy': 0.8053691275167785} |
| 0.0083        | 715.0  | 191620 | 1.6735          | {'f1': 0.8762886597938144} | {'accuracy': 0.8159156279961649} |
| 0.0083        | 716.0  | 191888 | 1.6299          | {'f1': 0.8793215916503588} | {'accuracy': 0.822627037392138}  |
| 0.0033        | 717.0  | 192156 | 1.5531          | {'f1': 0.8844621513944223} | {'accuracy': 0.8331735378715245} |
| 0.0033        | 718.0  | 192424 | 1.5674          | {'f1': 0.8846407382992749} | {'accuracy': 0.8322147651006712} |
| 0.0069        | 719.0  | 192692 | 1.6354          | {'f1': 0.8781758957654723} | {'accuracy': 0.8207094918504314} |
| 0.0069        | 720.0  | 192960 | 1.7000          | {'f1': 0.8729851708575114} | {'accuracy': 0.8111217641418984} |
| 0.0054        | 721.0  | 193228 | 1.7314          | {'f1': 0.8733850129198967} | {'accuracy': 0.8120805369127517} |
| 0.0054        | 722.0  | 193496 | 1.7528          | {'f1': 0.872680742162508}  | {'accuracy': 0.8092042186001918} |
| 0.0063        | 723.0  | 193764 | 1.6435          | {'f1': 0.878334417696812}  | {'accuracy': 0.8207094918504314} |
| 0.0038        | 724.0  | 194032 | 1.7055          | {'f1': 0.8752424046541694} | {'accuracy': 0.8149568552253116} |
| 0.0038        | 725.0  | 194300 | 1.6797          | {'f1': 0.8792207792207791} | {'accuracy': 0.8216682646212847} |
| 0.0039        | 726.0  | 194568 | 1.6571          | {'f1': 0.8763897972531065} | {'accuracy': 0.8187919463087249} |
| 0.0039        | 727.0  | 194836 | 1.7315          | {'f1': 0.8745148771021992} | {'accuracy': 0.8139980824544583} |
| 0.0031        | 728.0  | 195104 | 1.7590          | {'f1': 0.8771929824561404} | {'accuracy': 0.8187919463087249} |
| 0.0031        | 729.0  | 195372 | 1.7258          | {'f1': 0.8795811518324608} | {'accuracy': 0.8235858101629914} |
| 0.0052        | 730.0  | 195640 | 1.7521          | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.0052        | 731.0  | 195908 | 1.8223          | {'f1': 0.8764478764478765} | {'accuracy': 0.8159156279961649} |
| 0.0041        | 732.0  | 196176 | 1.7688          | {'f1': 0.8775113415424498} | {'accuracy': 0.8187919463087249} |
| 0.0041        | 733.0  | 196444 | 1.8872          | {'f1': 0.8735632183908045} | {'accuracy': 0.8101629913710451} |
| 0.004         | 734.0  | 196712 | 1.7450          | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.004         | 735.0  | 196980 | 1.7980          | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.0033        | 736.0  | 197248 | 1.7714          | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138}  |
| 0.0038        | 737.0  | 197516 | 1.8320          | {'f1': 0.8804627249357326} | {'accuracy': 0.8216682646212847} |
| 0.0038        | 738.0  | 197784 | 1.7244          | {'f1': 0.8816219751471549} | {'accuracy': 0.8264621284755513} |
| 0.0059        | 739.0  | 198052 | 1.7333          | {'f1': 0.8810457516339869} | {'accuracy': 0.825503355704698}  |
| 0.0059        | 740.0  | 198320 | 1.7029          | {'f1': 0.8800530152418821} | {'accuracy': 0.8264621284755513} |
| 0.0038        | 741.0  | 198588 | 1.9830          | {'f1': 0.8749206349206349} | {'accuracy': 0.8111217641418984} |
| 0.0038        | 742.0  | 198856 | 1.7379          | {'f1': 0.8807817589576548} | {'accuracy': 0.8245445829338447} |
| 0.0059        | 743.0  | 199124 | 1.7981          | {'f1': 0.8773281952472703} | {'accuracy': 0.8168744007670182} |
| 0.0059        | 744.0  | 199392 | 1.6733          | {'f1': 0.8791639451338994} | {'accuracy': 0.822627037392138}  |
| 0.0067        | 745.0  | 199660 | 1.6431          | {'f1': 0.881311475409836}  | {'accuracy': 0.8264621284755513} |
| 0.0067        | 746.0  | 199928 | 1.7976          | {'f1': 0.8766066838046273} | {'accuracy': 0.8159156279961649} |
| 0.0038        | 747.0  | 200196 | 1.8288          | {'f1': 0.8766066838046273} | {'accuracy': 0.8159156279961649} |
| 0.0038        | 748.0  | 200464 | 1.8158          | {'f1': 0.8766946417043254} | {'accuracy': 0.8168744007670182} |
| 0.0027        | 749.0  | 200732 | 1.8319          | {'f1': 0.8778280542986426} | {'accuracy': 0.8187919463087249} |
| 0.0049        | 750.0  | 201000 | 1.7412          | {'f1': 0.8777633289986997} | {'accuracy': 0.8197507190795782} |
| 0.0049        | 751.0  | 201268 | 1.7763          | {'f1': 0.8748387096774194} | {'accuracy': 0.8139980824544583} |
| 0.0055        | 752.0  | 201536 | 1.8193          | {'f1': 0.8748403575989783} | {'accuracy': 0.8120805369127517} |
| 0.0055        | 753.0  | 201804 | 1.8406          | {'f1': 0.8746803069053708} | {'accuracy': 0.8120805369127517} |
| 0.0046        | 754.0  | 202072 | 1.7268          | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.0046        | 755.0  | 202340 | 1.7142          | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.0047        | 756.0  | 202608 | 1.6997          | {'f1': 0.8845144356955381} | {'accuracy': 0.8312559923298178} |
| 0.0047        | 757.0  | 202876 | 1.7258          | {'f1': 0.881664499349805}  | {'accuracy': 0.825503355704698}  |
| 0.0031        | 758.0  | 203144 | 1.7215          | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138}  |
| 0.0031        | 759.0  | 203412 | 1.5866          | {'f1': 0.8869795109054858} | {'accuracy': 0.8360498561840843} |
| 0.0053        | 760.0  | 203680 | 1.6946          | {'f1': 0.8788075178224238} | {'accuracy': 0.8207094918504314} |
| 0.0053        | 761.0  | 203948 | 1.6686          | {'f1': 0.8820445609436436} | {'accuracy': 0.8274209012464045} |
| 0.0041        | 762.0  | 204216 | 1.7516          | {'f1': 0.8786502271252432} | {'accuracy': 0.8207094918504314} |
| 0.0041        | 763.0  | 204484 | 1.5971          | {'f1': 0.8853545394300861} | {'accuracy': 0.8341323106423778} |
| 0.0056        | 764.0  | 204752 | 1.6843          | {'f1': 0.8804702808621816} | {'accuracy': 0.8245445829338447} |
| 0.0043        | 765.0  | 205020 | 1.7372          | {'f1': 0.8787483702737942} | {'accuracy': 0.8216682646212847} |
| 0.0043        | 766.0  | 205288 | 1.6615          | {'f1': 0.8798938287989383} | {'accuracy': 0.8264621284755513} |
| 0.0043        | 767.0  | 205556 | 1.6561          | {'f1': 0.8761528326745718} | {'accuracy': 0.8197507190795782} |
| 0.0043        | 768.0  | 205824 | 1.7583          | {'f1': 0.8775113415424498} | {'accuracy': 0.8187919463087249} |
| 0.0053        | 769.0  | 206092 | 1.7672          | {'f1': 0.8773523685918235} | {'accuracy': 0.8187919463087249} |
| 0.0053        | 770.0  | 206360 | 1.7304          | {'f1': 0.8817065287653523} | {'accuracy': 0.8245445829338447} |
| 0.0056        | 771.0  | 206628 | 1.8357          | {'f1': 0.8738853503184713} | {'accuracy': 0.8101629913710451} |
| 0.0056        | 772.0  | 206896 | 1.7828          | {'f1': 0.8734746307000643} | {'accuracy': 0.8111217641418984} |
| 0.0062        | 773.0  | 207164 | 1.6784          | {'f1': 0.8809993425378042} | {'accuracy': 0.8264621284755513} |
| 0.0062        | 774.0  | 207432 | 1.8125          | {'f1': 0.875724404378622}  | {'accuracy': 0.8149568552253116} |
| 0.0045        | 775.0  | 207700 | 1.6581          | {'f1': 0.8825481088254811} | {'accuracy': 0.8302972195589645} |
| 0.0045        | 776.0  | 207968 | 1.8068          | {'f1': 0.875724404378622}  | {'accuracy': 0.8149568552253116} |
| 0.0042        | 777.0  | 208236 | 1.6534          | {'f1': 0.8825065274151437} | {'accuracy': 0.8274209012464045} |
| 0.0037        | 778.0  | 208504 | 1.6978          | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0037        | 779.0  | 208772 | 1.7502          | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138}  |
| 0.0045        | 780.0  | 209040 | 1.6534          | {'f1': 0.8816219751471549} | {'accuracy': 0.8264621284755513} |
| 0.0045        | 781.0  | 209308 | 1.7469          | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698}  |
| 0.0041        | 782.0  | 209576 | 1.6870          | {'f1': 0.8852672750977836} | {'accuracy': 0.8312559923298178} |
| 0.0041        | 783.0  | 209844 | 1.6736          | {'f1': 0.881201044386423}  | {'accuracy': 0.825503355704698}  |
| 0.0056        | 784.0  | 210112 | 1.6185          | {'f1': 0.8846153846153847} | {'accuracy': 0.8331735378715245} |
| 0.0056        | 785.0  | 210380 | 1.7621          | {'f1': 0.8789808917197452} | {'accuracy': 0.8178331735378715} |
| 0.0045        | 786.0  | 210648 | 1.7368          | {'f1': 0.8815958815958816} | {'accuracy': 0.8235858101629914} |
| 0.0045        | 787.0  | 210916 | 1.6879          | {'f1': 0.882084690553746}  | {'accuracy': 0.8264621284755513} |
| 0.0048        | 788.0  | 211184 | 1.6329          | {'f1': 0.8829300196206671} | {'accuracy': 0.8283796740172579} |
| 0.0048        | 789.0  | 211452 | 1.5510          | {'f1': 0.8840291583830351} | {'accuracy': 0.8322147651006712} |
| 0.0066        | 790.0  | 211720 | 1.7462          | {'f1': 0.8772378516624041} | {'accuracy': 0.8159156279961649} |
| 0.0066        | 791.0  | 211988 | 1.6829          | {'f1': 0.8778920308483289} | {'accuracy': 0.8178331735378715} |
| 0.0052        | 792.0  | 212256 | 1.7384          | {'f1': 0.8765195137555982} | {'accuracy': 0.8149568552253116} |
| 0.0046        | 793.0  | 212524 | 1.5288          | {'f1': 0.8831683168316831} | {'accuracy': 0.8302972195589645} |
| 0.0046        | 794.0  | 212792 | 1.6314          | {'f1': 0.8778280542986426} | {'accuracy': 0.8187919463087249} |
| 0.0036        | 795.0  | 213060 | 1.6961          | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0036        | 796.0  | 213328 | 1.6279          | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0086        | 797.0  | 213596 | 1.5934          | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0086        | 798.0  | 213864 | 1.6056          | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.0023        | 799.0  | 214132 | 1.7151          | {'f1': 0.8797427652733119} | {'accuracy': 0.8207094918504314} |
| 0.0023        | 800.0  | 214400 | 1.6747          | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.0048        | 801.0  | 214668 | 1.6526          | {'f1': 0.8839634941329856} | {'accuracy': 0.8293384467881112} |
| 0.0048        | 802.0  | 214936 | 1.8124          | {'f1': 0.8766773162939298} | {'accuracy': 0.8149568552253116} |
| 0.004         | 803.0  | 215204 | 1.6009          | {'f1': 0.8869795109054858} | {'accuracy': 0.8360498561840843} |
| 0.004         | 804.0  | 215472 | 1.6713          | {'f1': 0.8837820091923834} | {'accuracy': 0.8302972195589645} |
| 0.0035        | 805.0  | 215740 | 1.7786          | {'f1': 0.8776699029126214} | {'accuracy': 0.8187919463087249} |
| 0.009         | 806.0  | 216008 | 1.6155          | {'f1': 0.8824688115561392} | {'accuracy': 0.8283796740172579} |
| 0.009         | 807.0  | 216276 | 1.8566          | {'f1': 0.8777070063694268} | {'accuracy': 0.8159156279961649} |
| 0.0044        | 808.0  | 216544 | 1.8075          | {'f1': 0.8778920308483289} | {'accuracy': 0.8178331735378715} |
| 0.0044        | 809.0  | 216812 | 1.7520          | {'f1': 0.8754863813229572} | {'accuracy': 0.8159156279961649} |
| 0.0038        | 810.0  | 217080 | 1.7588          | {'f1': 0.8754034861200773} | {'accuracy': 0.8149568552253116} |
| 0.0038        | 811.0  | 217348 | 1.7571          | {'f1': 0.8753213367609254} | {'accuracy': 0.8139980824544583} |
| 0.0024        | 812.0  | 217616 | 1.6821          | {'f1': 0.8778280542986426} | {'accuracy': 0.8187919463087249} |
| 0.0024        | 813.0  | 217884 | 1.7767          | {'f1': 0.8738853503184713} | {'accuracy': 0.8101629913710451} |
| 0.0046        | 814.0  | 218152 | 1.6097          | {'f1': 0.8815104166666666} | {'accuracy': 0.825503355704698}  |
| 0.0046        | 815.0  | 218420 | 1.7486          | {'f1': 0.8780487804878049} | {'accuracy': 0.8178331735378715} |
| 0.0037        | 816.0  | 218688 | 1.6667          | {'f1': 0.8786502271252432} | {'accuracy': 0.8207094918504314} |
| 0.0037        | 817.0  | 218956 | 1.7741          | {'f1': 0.8809218950064021} | {'accuracy': 0.8216682646212847} |
| 0.0039        | 818.0  | 219224 | 1.7586          | {'f1': 0.8778920308483289} | {'accuracy': 0.8178331735378715} |
| 0.0039        | 819.0  | 219492 | 1.8500          | {'f1': 0.874442319949012}  | {'accuracy': 0.8111217641418984} |
| 0.0042        | 820.0  | 219760 | 1.6335          | {'f1': 0.8850952068286276} | {'accuracy': 0.8322147651006712} |
| 0.0035        | 821.0  | 220028 | 1.7159          | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.0035        | 822.0  | 220296 | 1.6268          | {'f1': 0.8826229508196721} | {'accuracy': 0.8283796740172579} |
| 0.0034        | 823.0  | 220564 | 1.7472          | {'f1': 0.8779857972885732} | {'accuracy': 0.8187919463087249} |
| 0.0034        | 824.0  | 220832 | 1.7281          | {'f1': 0.8792207792207791} | {'accuracy': 0.8216682646212847} |
| 0.0043        | 825.0  | 221100 | 1.9709          | {'f1': 0.8708860759493672} | {'accuracy': 0.8044103547459253} |
| 0.0043        | 826.0  | 221368 | 1.7841          | {'f1': 0.8775113415424498} | {'accuracy': 0.8187919463087249} |
| 0.0029        | 827.0  | 221636 | 1.6511          | {'f1': 0.8821593153390389} | {'accuracy': 0.8283796740172579} |
| 0.0029        | 828.0  | 221904 | 1.6653          | {'f1': 0.8839344262295081} | {'accuracy': 0.8302972195589645} |
| 0.0066        | 829.0  | 222172 | 1.7373          | {'f1': 0.881664499349805}  | {'accuracy': 0.825503355704698}  |
| 0.0066        | 830.0  | 222440 | 1.8514          | {'f1': 0.8765195137555982} | {'accuracy': 0.8149568552253116} |
| 0.0038        | 831.0  | 222708 | 1.6693          | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0038        | 832.0  | 222976 | 1.7700          | {'f1': 0.8760436737315349} | {'accuracy': 0.8149568552253116} |
| 0.0083        | 833.0  | 223244 | 1.7370          | {'f1': 0.875968992248062}  | {'accuracy': 0.8159156279961649} |
| 0.0037        | 834.0  | 223512 | 1.8060          | {'f1': 0.8738738738738738} | {'accuracy': 0.8120805369127517} |
| 0.0037        | 835.0  | 223780 | 1.8111          | {'f1': 0.8721901091843288} | {'accuracy': 0.8092042186001918} |
| 0.0041        | 836.0  | 224048 | 1.7567          | {'f1': 0.8745148771021992} | {'accuracy': 0.8139980824544583} |
| 0.0041        | 837.0  | 224316 | 1.7176          | {'f1': 0.87890625}         | {'accuracy': 0.8216682646212847} |
| 0.0026        | 838.0  | 224584 | 1.8231          | {'f1': 0.8725868725868725} | {'accuracy': 0.8101629913710451} |
| 0.0026        | 839.0  | 224852 | 1.8063          | {'f1': 0.8719590268886044} | {'accuracy': 0.8082454458293384} |
| 0.005         | 840.0  | 225120 | 1.6256          | {'f1': 0.8833551769331585} | {'accuracy': 0.8293384467881112} |
| 0.005         | 841.0  | 225388 | 1.6150          | {'f1': 0.8843626806833115} | {'accuracy': 0.8312559923298178} |
| 0.0057        | 842.0  | 225656 | 1.7313          | {'f1': 0.8792207792207791} | {'accuracy': 0.8216682646212847} |
| 0.0057        | 843.0  | 225924 | 1.6658          | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0044        | 844.0  | 226192 | 1.7049          | {'f1': 0.8786502271252432} | {'accuracy': 0.8207094918504314} |
| 0.0044        | 845.0  | 226460 | 1.7423          | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0039        | 846.0  | 226728 | 1.8133          | {'f1': 0.8756410256410255} | {'accuracy': 0.8139980824544583} |
| 0.0039        | 847.0  | 226996 | 1.6587          | {'f1': 0.8805774278215224} | {'accuracy': 0.825503355704698}  |
| 0.0055        | 848.0  | 227264 | 1.7479          | {'f1': 0.8728211749515816} | {'accuracy': 0.8111217641418984} |
| 0.0044        | 849.0  | 227532 | 1.8513          | {'f1': 0.8759493670886076} | {'accuracy': 0.8120805369127517} |
| 0.0044        | 850.0  | 227800 | 1.6038          | {'f1': 0.8830486202365309} | {'accuracy': 0.8293384467881112} |
| 0.0051        | 851.0  | 228068 | 1.5725          | {'f1': 0.884589726484323}  | {'accuracy': 0.8341323106423778} |
| 0.0051        | 852.0  | 228336 | 1.6583          | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.0055        | 853.0  | 228604 | 1.6347          | {'f1': 0.87890625}         | {'accuracy': 0.8216682646212847} |
| 0.0055        | 854.0  | 228872 | 1.6689          | {'f1': 0.8789644012944984} | {'accuracy': 0.8207094918504314} |
| 0.0058        | 855.0  | 229140 | 1.6962          | {'f1': 0.8754034861200773} | {'accuracy': 0.8149568552253116} |
| 0.0058        | 856.0  | 229408 | 1.7181          | {'f1': 0.8777348777348777} | {'accuracy': 0.8178331735378715} |
| 0.0046        | 857.0  | 229676 | 1.6005          | {'f1': 0.8808900523560209} | {'accuracy': 0.825503355704698}  |
| 0.0046        | 858.0  | 229944 | 1.6238          | {'f1': 0.883013879709187}  | {'accuracy': 0.8302972195589645} |
| 0.0026        | 859.0  | 230212 | 1.7520          | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.0026        | 860.0  | 230480 | 1.6015          | {'f1': 0.884896872920825}  | {'accuracy': 0.8341323106423778} |
| 0.0039        | 861.0  | 230748 | 1.7206          | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0034        | 862.0  | 231016 | 1.7790          | {'f1': 0.8785166240409207} | {'accuracy': 0.8178331735378715} |
| 0.0034        | 863.0  | 231284 | 1.6350          | {'f1': 0.8852459016393444} | {'accuracy': 0.8322147651006712} |
| 0.0037        | 864.0  | 231552 | 1.5944          | {'f1': 0.8856576338400529} | {'accuracy': 0.8341323106423778} |
| 0.0037        | 865.0  | 231820 | 1.7224          | {'f1': 0.8827319587628866} | {'accuracy': 0.825503355704698}  |
| 0.0039        | 866.0  | 232088 | 1.7204          | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0039        | 867.0  | 232356 | 1.8272          | {'f1': 0.8802547770700637} | {'accuracy': 0.8197507190795782} |
| 0.0035        | 868.0  | 232624 | 1.7540          | {'f1': 0.8810289389067525} | {'accuracy': 0.822627037392138}  |
| 0.0035        | 869.0  | 232892 | 1.7437          | {'f1': 0.8801546391752577} | {'accuracy': 0.8216682646212847} |
| 0.0038        | 870.0  | 233160 | 1.7174          | {'f1': 0.8810289389067525} | {'accuracy': 0.822627037392138}  |
| 0.0038        | 871.0  | 233428 | 1.7520          | {'f1': 0.8777348777348777} | {'accuracy': 0.8178331735378715} |
| 0.005         | 872.0  | 233696 | 1.7174          | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.005         | 873.0  | 233964 | 1.5598          | {'f1': 0.8810160427807487} | {'accuracy': 0.8293384467881112} |
| 0.0051        | 874.0  | 234232 | 1.6021          | {'f1': 0.8775645268034415} | {'accuracy': 0.822627037392138}  |
| 0.0027        | 875.0  | 234500 | 1.6392          | {'f1': 0.879526003949967}  | {'accuracy': 0.8245445829338447} |
| 0.0027        | 876.0  | 234768 | 1.6905          | {'f1': 0.882084690553746}  | {'accuracy': 0.8264621284755513} |
| 0.0027        | 877.0  | 235036 | 1.7570          | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0027        | 878.0  | 235304 | 1.8483          | {'f1': 0.8786717752234994} | {'accuracy': 0.8178331735378715} |
| 0.0072        | 879.0  | 235572 | 1.8065          | {'f1': 0.8762886597938144} | {'accuracy': 0.8159156279961649} |
| 0.0072        | 880.0  | 235840 | 1.6987          | {'f1': 0.8783694937541091} | {'accuracy': 0.822627037392138}  |
| 0.0046        | 881.0  | 236108 | 1.7673          | {'f1': 0.8767833981841764} | {'accuracy': 0.8178331735378715} |
| 0.0046        | 882.0  | 236376 | 1.8220          | {'f1': 0.8797953964194373} | {'accuracy': 0.8197507190795782} |
| 0.0045        | 883.0  | 236644 | 1.7788          | {'f1': 0.8774193548387096} | {'accuracy': 0.8178331735378715} |
| 0.0045        | 884.0  | 236912 | 1.7548          | {'f1': 0.8793774319066148} | {'accuracy': 0.8216682646212847} |
| 0.0037        | 885.0  | 237180 | 1.8482          | {'f1': 0.8737988468930173} | {'accuracy': 0.8111217641418984} |
| 0.0037        | 886.0  | 237448 | 1.7246          | {'f1': 0.8803139306736429} | {'accuracy': 0.8245445829338447} |
| 0.0043        | 887.0  | 237716 | 1.7016          | {'f1': 0.8825065274151437} | {'accuracy': 0.8274209012464045} |
| 0.0043        | 888.0  | 237984 | 1.7859          | {'f1': 0.8767833981841764} | {'accuracy': 0.8178331735378715} |
| 0.0024        | 889.0  | 238252 | 1.7984          | {'f1': 0.8766946417043254} | {'accuracy': 0.8168744007670182} |
| 0.0039        | 890.0  | 238520 | 1.8528          | {'f1': 0.8770122343850613} | {'accuracy': 0.8168744007670182} |
| 0.0039        | 891.0  | 238788 | 1.8695          | {'f1': 0.8775773195876289} | {'accuracy': 0.8178331735378715} |
| 0.0027        | 892.0  | 239056 | 1.8291          | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0027        | 893.0  | 239324 | 1.8205          | {'f1': 0.8775773195876289} | {'accuracy': 0.8178331735378715} |
| 0.0029        | 894.0  | 239592 | 1.7720          | {'f1': 0.881664499349805}  | {'accuracy': 0.825503355704698}  |
| 0.0029        | 895.0  | 239860 | 1.7360          | {'f1': 0.8827766863130322} | {'accuracy': 0.8283796740172579} |
| 0.004         | 896.0  | 240128 | 1.8698          | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138}  |
| 0.004         | 897.0  | 240396 | 1.7753          | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0021        | 898.0  | 240664 | 1.8340          | {'f1': 0.8793774319066148} | {'accuracy': 0.8216682646212847} |
| 0.0021        | 899.0  | 240932 | 1.7983          | {'f1': 0.8815104166666666} | {'accuracy': 0.825503355704698}  |
| 0.0033        | 900.0  | 241200 | 1.7796          | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.0033        | 901.0  | 241468 | 1.7700          | {'f1': 0.8787483702737942} | {'accuracy': 0.8216682646212847} |
| 0.0067        | 902.0  | 241736 | 1.9109          | {'f1': 0.877642536835362}  | {'accuracy': 0.8168744007670182} |
| 0.0037        | 903.0  | 242004 | 1.8321          | {'f1': 0.8753213367609254} | {'accuracy': 0.8139980824544583} |
| 0.0037        | 904.0  | 242272 | 1.8963          | {'f1': 0.8732394366197184} | {'accuracy': 0.8101629913710451} |
| 0.0028        | 905.0  | 242540 | 1.9076          | {'f1': 0.8746803069053708} | {'accuracy': 0.8120805369127517} |
| 0.0028        | 906.0  | 242808 | 1.8290          | {'f1': 0.8733118971061095} | {'accuracy': 0.8111217641418984} |
| 0.0073        | 907.0  | 243076 | 1.8120          | {'f1': 0.8735483870967742} | {'accuracy': 0.8120805369127517} |
| 0.0073        | 908.0  | 243344 | 1.7870          | {'f1': 0.8767833981841764} | {'accuracy': 0.8178331735378715} |
| 0.0047        | 909.0  | 243612 | 1.7056          | {'f1': 0.88}               | {'accuracy': 0.8245445829338447} |
| 0.0047        | 910.0  | 243880 | 1.7776          | {'f1': 0.8796356538711776} | {'accuracy': 0.822627037392138}  |
| 0.0032        | 911.0  | 244148 | 1.7314          | {'f1': 0.8784313725490197} | {'accuracy': 0.8216682646212847} |
| 0.0032        | 912.0  | 244416 | 1.9044          | {'f1': 0.8773946360153257} | {'accuracy': 0.8159156279961649} |
| 0.0018        | 913.0  | 244684 | 1.7254          | {'f1': 0.8805774278215224} | {'accuracy': 0.825503355704698}  |
| 0.0018        | 914.0  | 244952 | 1.7534          | {'f1': 0.8834759710335748} | {'accuracy': 0.8302972195589645} |
| 0.0051        | 915.0  | 245220 | 1.7663          | {'f1': 0.8793215916503588} | {'accuracy': 0.822627037392138}  |
| 0.0051        | 916.0  | 245488 | 1.8056          | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138}  |
| 0.0041        | 917.0  | 245756 | 1.7533          | {'f1': 0.8833551769331585} | {'accuracy': 0.8293384467881112} |
| 0.003         | 918.0  | 246024 | 1.8135          | {'f1': 0.8790637191157347} | {'accuracy': 0.8216682646212847} |
| 0.003         | 919.0  | 246292 | 1.7684          | {'f1': 0.8771929824561404} | {'accuracy': 0.8187919463087249} |
| 0.0054        | 920.0  | 246560 | 1.8179          | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.0054        | 921.0  | 246828 | 1.8098          | {'f1': 0.8792207792207791} | {'accuracy': 0.8216682646212847} |
| 0.0033        | 922.0  | 247096 | 1.8191          | {'f1': 0.8769633507853404} | {'accuracy': 0.8197507190795782} |
| 0.0033        | 923.0  | 247364 | 1.8498          | {'f1': 0.8798955613577023} | {'accuracy': 0.8235858101629914} |
| 0.0028        | 924.0  | 247632 | 1.8232          | {'f1': 0.8800521512385918} | {'accuracy': 0.8235858101629914} |
| 0.0028        | 925.0  | 247900 | 1.8013          | {'f1': 0.8794788273615636} | {'accuracy': 0.822627037392138}  |
| 0.0069        | 926.0  | 248168 | 1.9143          | {'f1': 0.8725176169122358} | {'accuracy': 0.8092042186001918} |
| 0.0069        | 927.0  | 248436 | 1.9115          | {'f1': 0.8741976893453146} | {'accuracy': 0.8120805369127517} |
| 0.0035        | 928.0  | 248704 | 1.7548          | {'f1': 0.8842380640941793} | {'accuracy': 0.8302972195589645} |
| 0.0035        | 929.0  | 248972 | 1.6685          | {'f1': 0.8872775214238628} | {'accuracy': 0.8360498561840843} |
| 0.0039        | 930.0  | 249240 | 1.6608          | {'f1': 0.8842105263157894} | {'accuracy': 0.8312559923298178} |
| 0.0064        | 931.0  | 249508 | 1.6370          | {'f1': 0.8835978835978837} | {'accuracy': 0.8312559923298178} |
| 0.0064        | 932.0  | 249776 | 1.8191          | {'f1': 0.8765352294764059} | {'accuracy': 0.8168744007670182} |
| 0.0036        | 933.0  | 250044 | 1.7709          | {'f1': 0.8793215916503588} | {'accuracy': 0.822627037392138}  |
| 0.0036        | 934.0  | 250312 | 1.8190          | {'f1': 0.8761290322580645} | {'accuracy': 0.8159156279961649} |
| 0.0032        | 935.0  | 250580 | 1.7693          | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.0032        | 936.0  | 250848 | 1.7449          | {'f1': 0.8795811518324608} | {'accuracy': 0.8235858101629914} |
| 0.0024        | 937.0  | 251116 | 1.8426          | {'f1': 0.8778920308483289} | {'accuracy': 0.8178331735378715} |
| 0.0024        | 938.0  | 251384 | 1.9520          | {'f1': 0.8733459357277883} | {'accuracy': 0.8072866730584851} |
| 0.0043        | 939.0  | 251652 | 1.7875          | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0043        | 940.0  | 251920 | 1.7743          | {'f1': 0.8835393623942747} | {'accuracy': 0.8283796740172579} |
| 0.0026        | 941.0  | 252188 | 1.8042          | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0026        | 942.0  | 252456 | 1.7185          | {'f1': 0.8832020997375328} | {'accuracy': 0.8293384467881112} |
| 0.0022        | 943.0  | 252724 | 1.8951          | {'f1': 0.8747591522157996} | {'accuracy': 0.8130393096836049} |
| 0.0022        | 944.0  | 252992 | 1.8067          | {'f1': 0.880674448767834}  | {'accuracy': 0.8235858101629914} |
| 0.0045        | 945.0  | 253260 | 1.8181          | {'f1': 0.880103694102398}  | {'accuracy': 0.822627037392138}  |
| 0.0019        | 946.0  | 253528 | 1.7585          | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0019        | 947.0  | 253796 | 1.7718          | {'f1': 0.8828125}          | {'accuracy': 0.8274209012464045} |
| 0.0035        | 948.0  | 254064 | 1.7953          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.0035        | 949.0  | 254332 | 1.8987          | {'f1': 0.8789237668161436} | {'accuracy': 0.8187919463087249} |
| 0.0024        | 950.0  | 254600 | 1.8300          | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698}  |
| 0.0024        | 951.0  | 254868 | 1.7962          | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0029        | 952.0  | 255136 | 1.8478          | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0029        | 953.0  | 255404 | 1.7880          | {'f1': 0.8819308545335943} | {'accuracy': 0.8264621284755513} |
| 0.0031        | 954.0  | 255672 | 1.7130          | {'f1': 0.8839050131926122} | {'accuracy': 0.8312559923298178} |
| 0.0031        | 955.0  | 255940 | 1.7727          | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0032        | 956.0  | 256208 | 1.8618          | {'f1': 0.8789237668161436} | {'accuracy': 0.8187919463087249} |
| 0.0032        | 957.0  | 256476 | 1.7039          | {'f1': 0.8847926267281107} | {'accuracy': 0.8322147651006712} |
| 0.0029        | 958.0  | 256744 | 1.7791          | {'f1': 0.8858447488584474} | {'accuracy': 0.8322147651006712} |
| 0.0045        | 959.0  | 257012 | 1.7812          | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0045        | 960.0  | 257280 | 1.8882          | {'f1': 0.8772378516624041} | {'accuracy': 0.8159156279961649} |
| 0.0033        | 961.0  | 257548 | 1.7006          | {'f1': 0.8834437086092717} | {'accuracy': 0.8312559923298178} |
| 0.0033        | 962.0  | 257816 | 1.8888          | {'f1': 0.8780487804878049} | {'accuracy': 0.8178331735378715} |
| 0.0043        | 963.0  | 258084 | 1.7166          | {'f1': 0.8869795109054858} | {'accuracy': 0.8360498561840843} |
| 0.0043        | 964.0  | 258352 | 1.7764          | {'f1': 0.8830829523187459} | {'accuracy': 0.8283796740172579} |
| 0.0029        | 965.0  | 258620 | 1.8232          | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138}  |
| 0.0029        | 966.0  | 258888 | 1.8520          | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0039        | 967.0  | 259156 | 1.7956          | {'f1': 0.8841145833333333} | {'accuracy': 0.8293384467881112} |
| 0.0039        | 968.0  | 259424 | 1.7899          | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.005         | 969.0  | 259692 | 1.7714          | {'f1': 0.8853754940711462} | {'accuracy': 0.8331735378715245} |
| 0.005         | 970.0  | 259960 | 1.8541          | {'f1': 0.881664499349805}  | {'accuracy': 0.825503355704698}  |
| 0.0026        | 971.0  | 260228 | 1.8533          | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0026        | 972.0  | 260496 | 1.9431          | {'f1': 0.8766066838046273} | {'accuracy': 0.8159156279961649} |
| 0.0029        | 973.0  | 260764 | 1.8721          | {'f1': 0.8841145833333333} | {'accuracy': 0.8293384467881112} |
| 0.0033        | 974.0  | 261032 | 1.8050          | {'f1': 0.88433575677462}   | {'accuracy': 0.8322147651006712} |
| 0.0033        | 975.0  | 261300 | 1.8258          | {'f1': 0.8855461085676913} | {'accuracy': 0.8322147651006712} |
| 0.0032        | 976.0  | 261568 | 1.7880          | {'f1': 0.8815354070152218} | {'accuracy': 0.8283796740172579} |
| 0.0032        | 977.0  | 261836 | 1.8582          | {'f1': 0.8825065274151437} | {'accuracy': 0.8274209012464045} |
| 0.0054        | 978.0  | 262104 | 1.8111          | {'f1': 0.8820039551746869} | {'accuracy': 0.8283796740172579} |
| 0.0054        | 979.0  | 262372 | 1.8732          | {'f1': 0.881399870382372}  | {'accuracy': 0.8245445829338447} |
| 0.003         | 980.0  | 262640 | 1.8168          | {'f1': 0.8823142669296515} | {'accuracy': 0.8283796740172579} |
| 0.003         | 981.0  | 262908 | 1.8652          | {'f1': 0.8821989528795812} | {'accuracy': 0.8274209012464045} |
| 0.0027        | 982.0  | 263176 | 1.8022          | {'f1': 0.8817345597897503} | {'accuracy': 0.8274209012464045} |
| 0.0027        | 983.0  | 263444 | 1.8613          | {'f1': 0.8836601307189542} | {'accuracy': 0.8293384467881112} |
| 0.0048        | 984.0  | 263712 | 1.9481          | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138}  |
| 0.0048        | 985.0  | 263980 | 1.8413          | {'f1': 0.8856956237753103} | {'accuracy': 0.8322147651006712} |
| 0.003         | 986.0  | 264248 | 1.8189          | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.0048        | 987.0  | 264516 | 1.8358          | {'f1': 0.8842380640941793} | {'accuracy': 0.8302972195589645} |
| 0.0048        | 988.0  | 264784 | 1.9688          | {'f1': 0.8768536428110896} | {'accuracy': 0.8168744007670182} |
| 0.0035        | 989.0  | 265052 | 1.9110          | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.0035        | 990.0  | 265320 | 1.9088          | {'f1': 0.880674448767834}  | {'accuracy': 0.8235858101629914} |
| 0.0034        | 991.0  | 265588 | 1.8523          | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0034        | 992.0  | 265856 | 1.9090          | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.0043        | 993.0  | 266124 | 1.9719          | {'f1': 0.8732394366197184} | {'accuracy': 0.8101629913710451} |
| 0.0043        | 994.0  | 266392 | 1.8581          | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0032        | 995.0  | 266660 | 1.8710          | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0032        | 996.0  | 266928 | 1.7686          | {'f1': 0.8827404479578393} | {'accuracy': 0.8293384467881112} |
| 0.0022        | 997.0  | 267196 | 1.7697          | {'f1': 0.8825857519788918} | {'accuracy': 0.8293384467881112} |
| 0.0022        | 998.0  | 267464 | 1.7832          | {'f1': 0.8823142669296515} | {'accuracy': 0.8283796740172579} |
| 0.0023        | 999.0  | 267732 | 1.8761          | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.003         | 1000.0 | 268000 | 1.8633          | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.003         | 1001.0 | 268268 | 1.9415          | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.0032        | 1002.0 | 268536 | 1.8288          | {'f1': 0.8802631578947369} | {'accuracy': 0.825503355704698}  |
| 0.0032        | 1003.0 | 268804 | 1.9240          | {'f1': 0.880722114764668}  | {'accuracy': 0.822627037392138}  |
| 0.0026        | 1004.0 | 269072 | 1.9288          | {'f1': 0.8841423948220065} | {'accuracy': 0.8283796740172579} |
| 0.0026        | 1005.0 | 269340 | 1.8354          | {'f1': 0.8823142669296515} | {'accuracy': 0.8283796740172579} |
| 0.003         | 1006.0 | 269608 | 1.9312          | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698}  |
| 0.003         | 1007.0 | 269876 | 1.9980          | {'f1': 0.8783610755441742} | {'accuracy': 0.8178331735378715} |
| 0.0056        | 1008.0 | 270144 | 1.9172          | {'f1': 0.8820116054158607} | {'accuracy': 0.8245445829338447} |
| 0.0056        | 1009.0 | 270412 | 1.8910          | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0024        | 1010.0 | 270680 | 1.8348          | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0024        | 1011.0 | 270948 | 1.9444          | {'f1': 0.8787684413085312} | {'accuracy': 0.8187919463087249} |
| 0.0035        | 1012.0 | 271216 | 1.8986          | {'f1': 0.8778280542986426} | {'accuracy': 0.8187919463087249} |
| 0.0035        | 1013.0 | 271484 | 1.8286          | {'f1': 0.8791639451338994} | {'accuracy': 0.822627037392138}  |
| 0.0023        | 1014.0 | 271752 | 1.9554          | {'f1': 0.8765195137555982} | {'accuracy': 0.8149568552253116} |
| 0.003         | 1015.0 | 272020 | 1.8654          | {'f1': 0.8797920727745288} | {'accuracy': 0.822627037392138}  |
| 0.003         | 1016.0 | 272288 | 1.9021          | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0047        | 1017.0 | 272556 | 1.8398          | {'f1': 0.8794233289646134} | {'accuracy': 0.8235858101629914} |
| 0.0047        | 1018.0 | 272824 | 1.8313          | {'f1': 0.8794233289646134} | {'accuracy': 0.8235858101629914} |
| 0.0021        | 1019.0 | 273092 | 1.9474          | {'f1': 0.8785529715762274} | {'accuracy': 0.8197507190795782} |
| 0.0021        | 1020.0 | 273360 | 1.9078          | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0024        | 1021.0 | 273628 | 1.8744          | {'f1': 0.8810457516339869} | {'accuracy': 0.825503355704698}  |
| 0.0024        | 1022.0 | 273896 | 1.9857          | {'f1': 0.8761290322580645} | {'accuracy': 0.8159156279961649} |
| 0.003         | 1023.0 | 274164 | 1.9581          | {'f1': 0.8789644012944984} | {'accuracy': 0.8207094918504314} |
| 0.003         | 1024.0 | 274432 | 1.8342          | {'f1': 0.8828947368421053} | {'accuracy': 0.8293384467881112} |
| 0.0037        | 1025.0 | 274700 | 1.9730          | {'f1': 0.8776699029126214} | {'accuracy': 0.8187919463087249} |
| 0.0037        | 1026.0 | 274968 | 1.8663          | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.0022        | 1027.0 | 275236 | 1.8905          | {'f1': 0.8835393623942747} | {'accuracy': 0.8283796740172579} |
| 0.0049        | 1028.0 | 275504 | 1.9600          | {'f1': 0.8774193548387096} | {'accuracy': 0.8178331735378715} |
| 0.0049        | 1029.0 | 275772 | 1.9920          | {'f1': 0.876765083440308}  | {'accuracy': 0.8159156279961649} |
| 0.0052        | 1030.0 | 276040 | 1.8970          | {'f1': 0.8832684824902725} | {'accuracy': 0.8274209012464045} |
| 0.0052        | 1031.0 | 276308 | 1.7975          | {'f1': 0.8868421052631579} | {'accuracy': 0.835091083413231}  |
| 0.0023        | 1032.0 | 276576 | 1.9400          | {'f1': 0.8781431334622825} | {'accuracy': 0.8187919463087249} |
| 0.0023        | 1033.0 | 276844 | 1.8927          | {'f1': 0.8792207792207791} | {'accuracy': 0.8216682646212847} |
| 0.0024        | 1034.0 | 277112 | 1.8006          | {'f1': 0.883322346736981}  | {'accuracy': 0.8302972195589645} |
| 0.0024        | 1035.0 | 277380 | 2.0195          | {'f1': 0.876923076923077}  | {'accuracy': 0.8159156279961649} |
| 0.0042        | 1036.0 | 277648 | 1.8033          | {'f1': 0.8833551769331585} | {'accuracy': 0.8293384467881112} |
| 0.0042        | 1037.0 | 277916 | 1.9525          | {'f1': 0.8762026940346376} | {'accuracy': 0.8149568552253116} |
| 0.0042        | 1038.0 | 278184 | 1.8825          | {'f1': 0.8810916179337233} | {'accuracy': 0.8245445829338447} |
| 0.0042        | 1039.0 | 278452 | 1.9709          | {'f1': 0.8761290322580645} | {'accuracy': 0.8159156279961649} |
| 0.0033        | 1040.0 | 278720 | 1.9175          | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.0033        | 1041.0 | 278988 | 1.7999          | {'f1': 0.8821593153390389} | {'accuracy': 0.8283796740172579} |
| 0.003         | 1042.0 | 279256 | 1.9391          | {'f1': 0.8780487804878049} | {'accuracy': 0.8178331735378715} |
| 0.0044        | 1043.0 | 279524 | 1.9390          | {'f1': 0.8797427652733119} | {'accuracy': 0.8207094918504314} |
| 0.0044        | 1044.0 | 279792 | 1.7404          | {'f1': 0.886968085106383}  | {'accuracy': 0.8370086289549377} |
| 0.0027        | 1045.0 | 280060 | 1.9139          | {'f1': 0.8822768434670116} | {'accuracy': 0.825503355704698}  |
| 0.0027        | 1046.0 | 280328 | 1.8573          | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0028        | 1047.0 | 280596 | 1.8974          | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0028        | 1048.0 | 280864 | 1.9556          | {'f1': 0.8768536428110896} | {'accuracy': 0.8168744007670182} |
| 0.0037        | 1049.0 | 281132 | 1.9721          | {'f1': 0.8781431334622825} | {'accuracy': 0.8187919463087249} |
| 0.0037        | 1050.0 | 281400 | 1.8445          | {'f1': 0.881201044386423}  | {'accuracy': 0.825503355704698}  |
| 0.0027        | 1051.0 | 281668 | 1.8529          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0027        | 1052.0 | 281936 | 1.8861          | {'f1': 0.8810916179337233} | {'accuracy': 0.8245445829338447} |
| 0.0032        | 1053.0 | 282204 | 1.9200          | {'f1': 0.8786502271252432} | {'accuracy': 0.8207094918504314} |
| 0.0032        | 1054.0 | 282472 | 1.8420          | {'f1': 0.8795811518324608} | {'accuracy': 0.8235858101629914} |
| 0.0022        | 1055.0 | 282740 | 1.8641          | {'f1': 0.8796356538711776} | {'accuracy': 0.822627037392138}  |
| 0.0046        | 1056.0 | 283008 | 2.0412          | {'f1': 0.8737244897959184} | {'accuracy': 0.8101629913710451} |
| 0.0046        | 1057.0 | 283276 | 1.9593          | {'f1': 0.876765083440308}  | {'accuracy': 0.8159156279961649} |
| 0.0025        | 1058.0 | 283544 | 1.8894          | {'f1': 0.8782383419689119} | {'accuracy': 0.8197507190795782} |
| 0.0025        | 1059.0 | 283812 | 1.9341          | {'f1': 0.8747591522157996} | {'accuracy': 0.8130393096836049} |
| 0.007         | 1060.0 | 284080 | 1.8257          | {'f1': 0.8778280542986426} | {'accuracy': 0.8187919463087249} |
| 0.007         | 1061.0 | 284348 | 1.9134          | {'f1': 0.8754813863928111} | {'accuracy': 0.8139980824544583} |
| 0.0023        | 1062.0 | 284616 | 1.7726          | {'f1': 0.8819308545335943} | {'accuracy': 0.8264621284755513} |
| 0.0023        | 1063.0 | 284884 | 1.9423          | {'f1': 0.8726114649681528} | {'accuracy': 0.8082454458293384} |
| 0.0058        | 1064.0 | 285152 | 1.7419          | {'f1': 0.8798955613577023} | {'accuracy': 0.8235858101629914} |
| 0.0058        | 1065.0 | 285420 | 1.8181          | {'f1': 0.8752424046541694} | {'accuracy': 0.8149568552253116} |
| 0.0019        | 1066.0 | 285688 | 1.8312          | {'f1': 0.8746770025839793} | {'accuracy': 0.8139980824544583} |
| 0.0019        | 1067.0 | 285956 | 1.6782          | {'f1': 0.8791064388961892} | {'accuracy': 0.8235858101629914} |
| 0.0027        | 1068.0 | 286224 | 1.7993          | {'f1': 0.8757319453480807} | {'accuracy': 0.8168744007670182} |
| 0.0027        | 1069.0 | 286492 | 1.8997          | {'f1': 0.8762026940346376} | {'accuracy': 0.8149568552253116} |
| 0.0027        | 1070.0 | 286760 | 1.8941          | {'f1': 0.8760436737315349} | {'accuracy': 0.8149568552253116} |
| 0.0034        | 1071.0 | 287028 | 1.7802          | {'f1': 0.8790058862001309} | {'accuracy': 0.822627037392138}  |
| 0.0034        | 1072.0 | 287296 | 1.8261          | {'f1': 0.8772609819121446} | {'accuracy': 0.8178331735378715} |
| 0.0041        | 1073.0 | 287564 | 1.7698          | {'f1': 0.877444589308996}  | {'accuracy': 0.8197507190795782} |
| 0.0041        | 1074.0 | 287832 | 1.9026          | {'f1': 0.8756410256410255} | {'accuracy': 0.8139980824544583} |
| 0.0031        | 1075.0 | 288100 | 1.8199          | {'f1': 0.881399870382372}  | {'accuracy': 0.8245445829338447} |
| 0.0031        | 1076.0 | 288368 | 1.7601          | {'f1': 0.8807817589576548} | {'accuracy': 0.8245445829338447} |
| 0.0041        | 1077.0 | 288636 | 1.8057          | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138}  |
| 0.0041        | 1078.0 | 288904 | 1.8665          | {'f1': 0.8754813863928111} | {'accuracy': 0.8139980824544583} |
| 0.0036        | 1079.0 | 289172 | 1.8196          | {'f1': 0.8775773195876289} | {'accuracy': 0.8178331735378715} |
| 0.0036        | 1080.0 | 289440 | 1.9006          | {'f1': 0.8772378516624041} | {'accuracy': 0.8159156279961649} |
| 0.003         | 1081.0 | 289708 | 1.7250          | {'f1': 0.8830829523187459} | {'accuracy': 0.8283796740172579} |
| 0.003         | 1082.0 | 289976 | 1.9282          | {'f1': 0.8766773162939298} | {'accuracy': 0.8149568552253116} |
| 0.0034        | 1083.0 | 290244 | 1.7364          | {'f1': 0.8816219751471549} | {'accuracy': 0.8264621284755513} |
| 0.0036        | 1084.0 | 290512 | 1.7771          | {'f1': 0.8800521512385918} | {'accuracy': 0.8235858101629914} |
| 0.0036        | 1085.0 | 290780 | 1.7554          | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0022        | 1086.0 | 291048 | 1.7554          | {'f1': 0.880842659644503}  | {'accuracy': 0.8264621284755513} |
| 0.0022        | 1087.0 | 291316 | 1.8834          | {'f1': 0.8781431334622825} | {'accuracy': 0.8187919463087249} |
| 0.0034        | 1088.0 | 291584 | 1.9937          | {'f1': 0.8724489795918368} | {'accuracy': 0.8082454458293384} |
| 0.0034        | 1089.0 | 291852 | 1.8842          | {'f1': 0.8778920308483289} | {'accuracy': 0.8178331735378715} |
| 0.0041        | 1090.0 | 292120 | 1.7706          | {'f1': 0.881201044386423}  | {'accuracy': 0.825503355704698}  |
| 0.0041        | 1091.0 | 292388 | 1.9328          | {'f1': 0.8787684413085312} | {'accuracy': 0.8187919463087249} |
| 0.0034        | 1092.0 | 292656 | 1.9214          | {'f1': 0.8770806658130602} | {'accuracy': 0.8159156279961649} |
| 0.0034        | 1093.0 | 292924 | 1.6807          | {'f1': 0.8881535407015221} | {'accuracy': 0.837967401725791}  |
| 0.0042        | 1094.0 | 293192 | 1.8737          | {'f1': 0.8804627249357326} | {'accuracy': 0.8216682646212847} |
| 0.0042        | 1095.0 | 293460 | 1.8598          | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0048        | 1096.0 | 293728 | 1.6615          | {'f1': 0.8847926267281107} | {'accuracy': 0.8322147651006712} |
| 0.0048        | 1097.0 | 293996 | 1.7572          | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0026        | 1098.0 | 294264 | 1.8020          | {'f1': 0.8765352294764059} | {'accuracy': 0.8168744007670182} |
| 0.0029        | 1099.0 | 294532 | 1.8817          | {'f1': 0.8794871794871796} | {'accuracy': 0.8197507190795782} |
| 0.0029        | 1100.0 | 294800 | 1.8713          | {'f1': 0.877642536835362}  | {'accuracy': 0.8168744007670182} |
| 0.0021        | 1101.0 | 295068 | 1.8253          | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.0021        | 1102.0 | 295336 | 1.8152          | {'f1': 0.8775113415424498} | {'accuracy': 0.8187919463087249} |
| 0.0023        | 1103.0 | 295604 | 1.9678          | {'f1': 0.8785166240409207} | {'accuracy': 0.8178331735378715} |
| 0.0023        | 1104.0 | 295872 | 1.7870          | {'f1': 0.8804702808621816} | {'accuracy': 0.8245445829338447} |
| 0.0028        | 1105.0 | 296140 | 1.7280          | {'f1': 0.8835662009314704} | {'accuracy': 0.8322147651006712} |
| 0.0028        | 1106.0 | 296408 | 2.0007          | {'f1': 0.8796944621260344} | {'accuracy': 0.8187919463087249} |
| 0.0029        | 1107.0 | 296676 | 1.8255          | {'f1': 0.8817065287653523} | {'accuracy': 0.8245445829338447} |
| 0.0029        | 1108.0 | 296944 | 1.9466          | {'f1': 0.8807692307692307} | {'accuracy': 0.8216682646212847} |
| 0.0043        | 1109.0 | 297212 | 1.8808          | {'f1': 0.8821635544108178} | {'accuracy': 0.8245445829338447} |
| 0.0043        | 1110.0 | 297480 | 1.8432          | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698}  |
| 0.0045        | 1111.0 | 297748 | 1.8335          | {'f1': 0.881664499349805}  | {'accuracy': 0.825503355704698}  |
| 0.002         | 1112.0 | 298016 | 1.8473          | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698}  |
| 0.002         | 1113.0 | 298284 | 2.0208          | {'f1': 0.876991714467814}  | {'accuracy': 0.8149568552253116} |
| 0.0024        | 1114.0 | 298552 | 1.9311          | {'f1': 0.8800513149454778} | {'accuracy': 0.8207094918504314} |
| 0.0024        | 1115.0 | 298820 | 1.8597          | {'f1': 0.8820116054158607} | {'accuracy': 0.8245445829338447} |
| 0.0042        | 1116.0 | 299088 | 1.8163          | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698}  |
| 0.0042        | 1117.0 | 299356 | 1.9041          | {'f1': 0.8781431334622825} | {'accuracy': 0.8187919463087249} |
| 0.0018        | 1118.0 | 299624 | 1.8183          | {'f1': 0.8828125}          | {'accuracy': 0.8274209012464045} |
| 0.0018        | 1119.0 | 299892 | 1.8276          | {'f1': 0.8828125}          | {'accuracy': 0.8274209012464045} |
| 0.0023        | 1120.0 | 300160 | 1.9028          | {'f1': 0.879177377892031}  | {'accuracy': 0.8197507190795782} |
| 0.0023        | 1121.0 | 300428 | 1.7665          | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.0032        | 1122.0 | 300696 | 1.7775          | {'f1': 0.881664499349805}  | {'accuracy': 0.825503355704698}  |
| 0.0032        | 1123.0 | 300964 | 1.9306          | {'f1': 0.877642536835362}  | {'accuracy': 0.8168744007670182} |
| 0.0038        | 1124.0 | 301232 | 1.7593          | {'f1': 0.88296488946684}   | {'accuracy': 0.8274209012464045} |
| 0.0037        | 1125.0 | 301500 | 1.7302          | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.0037        | 1126.0 | 301768 | 1.7594          | {'f1': 0.88296488946684}   | {'accuracy': 0.8274209012464045} |
| 0.0048        | 1127.0 | 302036 | 1.8707          | {'f1': 0.8783610755441742} | {'accuracy': 0.8178331735378715} |
| 0.0048        | 1128.0 | 302304 | 1.7132          | {'f1': 0.8852672750977836} | {'accuracy': 0.8312559923298178} |
| 0.003         | 1129.0 | 302572 | 1.7302          | {'f1': 0.8841145833333333} | {'accuracy': 0.8293384467881112} |
| 0.003         | 1130.0 | 302840 | 1.7162          | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.0026        | 1131.0 | 303108 | 1.7761          | {'f1': 0.8812903225806452} | {'accuracy': 0.8235858101629914} |
| 0.0026        | 1132.0 | 303376 | 1.8016          | {'f1': 0.8804627249357326} | {'accuracy': 0.8216682646212847} |
| 0.0024        | 1133.0 | 303644 | 1.7055          | {'f1': 0.8859764089121887} | {'accuracy': 0.8331735378715245} |
| 0.0024        | 1134.0 | 303912 | 1.7412          | {'f1': 0.8865710560625816} | {'accuracy': 0.8331735378715245} |
| 0.0016        | 1135.0 | 304180 | 1.7611          | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0016        | 1136.0 | 304448 | 1.7830          | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.0028        | 1137.0 | 304716 | 1.7944          | {'f1': 0.8797920727745288} | {'accuracy': 0.822627037392138}  |
| 0.0028        | 1138.0 | 304984 | 1.7152          | {'f1': 0.8836601307189542} | {'accuracy': 0.8293384467881112} |
| 0.0055        | 1139.0 | 305252 | 1.9301          | {'f1': 0.8788265306122449} | {'accuracy': 0.8178331735378715} |
| 0.0035        | 1140.0 | 305520 | 1.7817          | {'f1': 0.880674448767834}  | {'accuracy': 0.8235858101629914} |
| 0.0035        | 1141.0 | 305788 | 1.6994          | {'f1': 0.8827404479578393} | {'accuracy': 0.8293384467881112} |
| 0.0048        | 1142.0 | 306056 | 1.7996          | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138}  |
| 0.0048        | 1143.0 | 306324 | 1.8155          | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.0042        | 1144.0 | 306592 | 1.6932          | {'f1': 0.883013879709187}  | {'accuracy': 0.8302972195589645} |
| 0.0042        | 1145.0 | 306860 | 1.9368          | {'f1': 0.876991714467814}  | {'accuracy': 0.8149568552253116} |
| 0.0039        | 1146.0 | 307128 | 1.8765          | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.0039        | 1147.0 | 307396 | 1.7851          | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698}  |
| 0.0034        | 1148.0 | 307664 | 1.8651          | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.0034        | 1149.0 | 307932 | 1.8980          | {'f1': 0.879177377892031}  | {'accuracy': 0.8197507190795782} |
| 0.0042        | 1150.0 | 308200 | 1.8739          | {'f1': 0.8778920308483289} | {'accuracy': 0.8178331735378715} |
| 0.0042        | 1151.0 | 308468 | 1.7545          | {'f1': 0.88296488946684}   | {'accuracy': 0.8274209012464045} |
| 0.0042        | 1152.0 | 308736 | 1.8382          | {'f1': 0.8790218790218791} | {'accuracy': 0.8197507190795782} |
| 0.002         | 1153.0 | 309004 | 1.8632          | {'f1': 0.8787684413085312} | {'accuracy': 0.8187919463087249} |
| 0.002         | 1154.0 | 309272 | 1.7751          | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.002         | 1155.0 | 309540 | 1.7368          | {'f1': 0.884967320261438}  | {'accuracy': 0.8312559923298178} |
| 0.002         | 1156.0 | 309808 | 1.9513          | {'f1': 0.8773946360153257} | {'accuracy': 0.8159156279961649} |
| 0.0022        | 1157.0 | 310076 | 1.8543          | {'f1': 0.8768536428110896} | {'accuracy': 0.8168744007670182} |
| 0.0022        | 1158.0 | 310344 | 1.8218          | {'f1': 0.8786502271252432} | {'accuracy': 0.8207094918504314} |
| 0.0026        | 1159.0 | 310612 | 1.8411          | {'f1': 0.880103694102398}  | {'accuracy': 0.822627037392138}  |
| 0.0026        | 1160.0 | 310880 | 1.7833          | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0029        | 1161.0 | 311148 | 1.7895          | {'f1': 0.8830829523187459} | {'accuracy': 0.8283796740172579} |
| 0.0029        | 1162.0 | 311416 | 1.8256          | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0034        | 1163.0 | 311684 | 1.8319          | {'f1': 0.8782383419689119} | {'accuracy': 0.8197507190795782} |
| 0.0034        | 1164.0 | 311952 | 1.7267          | {'f1': 0.8858085808580859} | {'accuracy': 0.8341323106423778} |
| 0.0023        | 1165.0 | 312220 | 1.8693          | {'f1': 0.8766946417043254} | {'accuracy': 0.8168744007670182} |
| 0.0023        | 1166.0 | 312488 | 1.8542          | {'f1': 0.8763754045307444} | {'accuracy': 0.8168744007670182} |
| 0.0055        | 1167.0 | 312756 | 1.7510          | {'f1': 0.8830486202365309} | {'accuracy': 0.8293384467881112} |
| 0.0031        | 1168.0 | 313024 | 1.8501          | {'f1': 0.875724404378622}  | {'accuracy': 0.8149568552253116} |
| 0.0031        | 1169.0 | 313292 | 1.8394          | {'f1': 0.8774193548387096} | {'accuracy': 0.8178331735378715} |
| 0.0049        | 1170.0 | 313560 | 1.8878          | {'f1': 0.8814862267777066} | {'accuracy': 0.822627037392138}  |
| 0.0049        | 1171.0 | 313828 | 1.8372          | {'f1': 0.881859264041317}  | {'accuracy': 0.8245445829338447} |
| 0.0034        | 1172.0 | 314096 | 1.7411          | {'f1': 0.8820445609436436} | {'accuracy': 0.8274209012464045} |
| 0.0034        | 1173.0 | 314364 | 1.7400          | {'f1': 0.8806262230919765} | {'accuracy': 0.8245445829338447} |
| 0.0041        | 1174.0 | 314632 | 1.8188          | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0041        | 1175.0 | 314900 | 1.7736          | {'f1': 0.8823529411764706} | {'accuracy': 0.8274209012464045} |
| 0.0021        | 1176.0 | 315168 | 1.8968          | {'f1': 0.8784213876511776} | {'accuracy': 0.8168744007670182} |
| 0.0021        | 1177.0 | 315436 | 1.8161          | {'f1': 0.8795878943979395} | {'accuracy': 0.8207094918504314} |
| 0.0042        | 1178.0 | 315704 | 1.7219          | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138}  |
| 0.0042        | 1179.0 | 315972 | 1.6678          | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.0038        | 1180.0 | 316240 | 1.7753          | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.0024        | 1181.0 | 316508 | 1.8661          | {'f1': 0.8773281952472703} | {'accuracy': 0.8168744007670182} |
| 0.0024        | 1182.0 | 316776 | 1.8076          | {'f1': 0.8793774319066148} | {'accuracy': 0.8216682646212847} |
| 0.0023        | 1183.0 | 317044 | 1.7940          | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138}  |
| 0.0023        | 1184.0 | 317312 | 1.8250          | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138}  |
| 0.003         | 1185.0 | 317580 | 1.6788          | {'f1': 0.8840291583830351} | {'accuracy': 0.8322147651006712} |
| 0.003         | 1186.0 | 317848 | 1.7289          | {'f1': 0.8832020997375328} | {'accuracy': 0.8293384467881112} |
| 0.0032        | 1187.0 | 318116 | 1.8399          | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0032        | 1188.0 | 318384 | 1.7542          | {'f1': 0.8813559322033898} | {'accuracy': 0.825503355704698}  |
| 0.0034        | 1189.0 | 318652 | 1.7842          | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.0034        | 1190.0 | 318920 | 1.7614          | {'f1': 0.8813559322033898} | {'accuracy': 0.825503355704698}  |
| 0.0031        | 1191.0 | 319188 | 1.7937          | {'f1': 0.880674448767834}  | {'accuracy': 0.8235858101629914} |
| 0.0031        | 1192.0 | 319456 | 1.7480          | {'f1': 0.8813559322033898} | {'accuracy': 0.825503355704698}  |
| 0.0019        | 1193.0 | 319724 | 1.8243          | {'f1': 0.880722114764668}  | {'accuracy': 0.822627037392138}  |
| 0.0019        | 1194.0 | 319992 | 1.8947          | {'f1': 0.8762755102040816} | {'accuracy': 0.8139980824544583} |
| 0.0035        | 1195.0 | 320260 | 1.8264          | {'f1': 0.8833010960670536} | {'accuracy': 0.8264621284755513} |
| 0.0027        | 1196.0 | 320528 | 1.7701          | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0027        | 1197.0 | 320796 | 1.7926          | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.002         | 1198.0 | 321064 | 1.9490          | {'f1': 0.876117496807152}  | {'accuracy': 0.8139980824544583} |
| 0.002         | 1199.0 | 321332 | 1.7626          | {'f1': 0.8826229508196721} | {'accuracy': 0.8283796740172579} |
| 0.0055        | 1200.0 | 321600 | 1.9140          | {'f1': 0.8780487804878049} | {'accuracy': 0.8178331735378715} |
| 0.0055        | 1201.0 | 321868 | 1.8124          | {'f1': 0.880674448767834}  | {'accuracy': 0.8235858101629914} |
| 0.0036        | 1202.0 | 322136 | 1.7833          | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0036        | 1203.0 | 322404 | 1.7976          | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0028        | 1204.0 | 322672 | 1.8530          | {'f1': 0.8782051282051283} | {'accuracy': 0.8178331735378715} |
| 0.0028        | 1205.0 | 322940 | 1.8728          | {'f1': 0.8766066838046273} | {'accuracy': 0.8159156279961649} |
| 0.0053        | 1206.0 | 323208 | 1.8401          | {'f1': 0.8806161745827985} | {'accuracy': 0.8216682646212847} |
| 0.0053        | 1207.0 | 323476 | 1.7476          | {'f1': 0.8819308545335943} | {'accuracy': 0.8264621284755513} |
| 0.0054        | 1208.0 | 323744 | 1.8645          | {'f1': 0.8815958815958816} | {'accuracy': 0.8235858101629914} |
| 0.0019        | 1209.0 | 324012 | 1.7266          | {'f1': 0.8831683168316831} | {'accuracy': 0.8302972195589645} |
| 0.0019        | 1210.0 | 324280 | 1.8538          | {'f1': 0.8810289389067525} | {'accuracy': 0.822627037392138}  |
| 0.0025        | 1211.0 | 324548 | 1.8804          | {'f1': 0.8802049967969251} | {'accuracy': 0.8207094918504314} |
| 0.0025        | 1212.0 | 324816 | 1.8721          | {'f1': 0.8810289389067525} | {'accuracy': 0.822627037392138}  |
| 0.0041        | 1213.0 | 325084 | 1.7423          | {'f1': 0.8807339449541284} | {'accuracy': 0.825503355704698}  |
| 0.0041        | 1214.0 | 325352 | 1.7937          | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.003         | 1215.0 | 325620 | 1.6573          | {'f1': 0.8796791443850267} | {'accuracy': 0.8274209012464045} |
| 0.003         | 1216.0 | 325888 | 1.7644          | {'f1': 0.8858447488584474} | {'accuracy': 0.8322147651006712} |
| 0.004         | 1217.0 | 326156 | 1.8032          | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.004         | 1218.0 | 326424 | 1.7083          | {'f1': 0.886408404464872}  | {'accuracy': 0.8341323106423778} |
| 0.0029        | 1219.0 | 326692 | 1.7933          | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.0029        | 1220.0 | 326960 | 1.8422          | {'f1': 0.8841423948220065} | {'accuracy': 0.8283796740172579} |
| 0.0027        | 1221.0 | 327228 | 1.8144          | {'f1': 0.8845654993514916} | {'accuracy': 0.8293384467881112} |
| 0.0027        | 1222.0 | 327496 | 1.7938          | {'f1': 0.8878748370273793} | {'accuracy': 0.835091083413231}  |
| 0.0025        | 1223.0 | 327764 | 1.7498          | {'f1': 0.8875739644970414} | {'accuracy': 0.8360498561840843} |
| 0.0021        | 1224.0 | 328032 | 1.8159          | {'f1': 0.8868660598179455} | {'accuracy': 0.8331735378715245} |
| 0.0021        | 1225.0 | 328300 | 1.7575          | {'f1': 0.8855263157894737} | {'accuracy': 0.8331735378715245} |
| 0.0029        | 1226.0 | 328568 | 1.8096          | {'f1': 0.8867059593975114} | {'accuracy': 0.8341323106423778} |
| 0.0029        | 1227.0 | 328836 | 1.9609          | {'f1': 0.8789237668161436} | {'accuracy': 0.8187919463087249} |
| 0.0021        | 1228.0 | 329104 | 1.8192          | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0021        | 1229.0 | 329372 | 1.7996          | {'f1': 0.8835393623942747} | {'accuracy': 0.8283796740172579} |
| 0.0036        | 1230.0 | 329640 | 1.6772          | {'f1': 0.8846657929226737} | {'accuracy': 0.8312559923298178} |
| 0.0036        | 1231.0 | 329908 | 1.7926          | {'f1': 0.8844415752098128} | {'accuracy': 0.8283796740172579} |
| 0.0048        | 1232.0 | 330176 | 1.8220          | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698}  |
| 0.0048        | 1233.0 | 330444 | 1.7301          | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.0026        | 1234.0 | 330712 | 1.7218          | {'f1': 0.8829300196206671} | {'accuracy': 0.8283796740172579} |
| 0.0026        | 1235.0 | 330980 | 1.7858          | {'f1': 0.8835393623942747} | {'accuracy': 0.8283796740172579} |
| 0.0032        | 1236.0 | 331248 | 1.7898          | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0021        | 1237.0 | 331516 | 1.8191          | {'f1': 0.8841145833333333} | {'accuracy': 0.8293384467881112} |
| 0.0021        | 1238.0 | 331784 | 1.8071          | {'f1': 0.88296488946684}   | {'accuracy': 0.8274209012464045} |
| 0.0032        | 1239.0 | 332052 | 1.8074          | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.0032        | 1240.0 | 332320 | 1.8625          | {'f1': 0.8827319587628866} | {'accuracy': 0.825503355704698}  |
| 0.0024        | 1241.0 | 332588 | 1.8309          | {'f1': 0.8841423948220065} | {'accuracy': 0.8283796740172579} |
| 0.0024        | 1242.0 | 332856 | 1.7365          | {'f1': 0.880952380952381}  | {'accuracy': 0.8274209012464045} |
| 0.0037        | 1243.0 | 333124 | 1.8527          | {'f1': 0.8804627249357326} | {'accuracy': 0.8216682646212847} |
| 0.0037        | 1244.0 | 333392 | 1.8448          | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0029        | 1245.0 | 333660 | 1.8240          | {'f1': 0.881399870382372}  | {'accuracy': 0.8245445829338447} |
| 0.0029        | 1246.0 | 333928 | 1.7800          | {'f1': 0.8855461085676913} | {'accuracy': 0.8322147651006712} |
| 0.002         | 1247.0 | 334196 | 1.8131          | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.002         | 1248.0 | 334464 | 1.7653          | {'f1': 0.886408404464872}  | {'accuracy': 0.8341323106423778} |
| 0.0023        | 1249.0 | 334732 | 1.7286          | {'f1': 0.8847926267281107} | {'accuracy': 0.8322147651006712} |
| 0.0037        | 1250.0 | 335000 | 1.8791          | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0037        | 1251.0 | 335268 | 1.8655          | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0029        | 1252.0 | 335536 | 1.8085          | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.0029        | 1253.0 | 335804 | 1.8479          | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.0022        | 1254.0 | 336072 | 1.9266          | {'f1': 0.8800513149454778} | {'accuracy': 0.8207094918504314} |
| 0.0022        | 1255.0 | 336340 | 1.9030          | {'f1': 0.8803088803088803} | {'accuracy': 0.8216682646212847} |
| 0.0026        | 1256.0 | 336608 | 1.8002          | {'f1': 0.8781758957654723} | {'accuracy': 0.8207094918504314} |
| 0.0026        | 1257.0 | 336876 | 1.8250          | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0034        | 1258.0 | 337144 | 1.8617          | {'f1': 0.8808757244043787} | {'accuracy': 0.822627037392138}  |
| 0.0034        | 1259.0 | 337412 | 1.8608          | {'f1': 0.8814432989690721} | {'accuracy': 0.8235858101629914} |
| 0.0017        | 1260.0 | 337680 | 1.7741          | {'f1': 0.8820445609436436} | {'accuracy': 0.8274209012464045} |
| 0.0017        | 1261.0 | 337948 | 1.7532          | {'f1': 0.8820445609436436} | {'accuracy': 0.8274209012464045} |
| 0.0044        | 1262.0 | 338216 | 1.9144          | {'f1': 0.8803088803088803} | {'accuracy': 0.8216682646212847} |
| 0.0044        | 1263.0 | 338484 | 1.8384          | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0034        | 1264.0 | 338752 | 1.8526          | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.0036        | 1265.0 | 339020 | 1.8393          | {'f1': 0.8803088803088803} | {'accuracy': 0.8216682646212847} |
| 0.0036        | 1266.0 | 339288 | 1.7915          | {'f1': 0.8779857972885732} | {'accuracy': 0.8187919463087249} |
| 0.0055        | 1267.0 | 339556 | 1.8825          | {'f1': 0.876765083440308}  | {'accuracy': 0.8159156279961649} |
| 0.0055        | 1268.0 | 339824 | 1.7938          | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.0022        | 1269.0 | 340092 | 1.8548          | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.0022        | 1270.0 | 340360 | 1.7473          | {'f1': 0.8795811518324608} | {'accuracy': 0.8235858101629914} |
| 0.0022        | 1271.0 | 340628 | 1.8232          | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.0022        | 1272.0 | 340896 | 1.8400          | {'f1': 0.8811369509043928} | {'accuracy': 0.8235858101629914} |
| 0.0027        | 1273.0 | 341164 | 1.8095          | {'f1': 0.8793774319066148} | {'accuracy': 0.8216682646212847} |
| 0.0027        | 1274.0 | 341432 | 1.8629          | {'f1': 0.880722114764668}  | {'accuracy': 0.822627037392138}  |
| 0.0026        | 1275.0 | 341700 | 1.8486          | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0026        | 1276.0 | 341968 | 1.8442          | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.002         | 1277.0 | 342236 | 1.8215          | {'f1': 0.878334417696812}  | {'accuracy': 0.8207094918504314} |
| 0.0023        | 1278.0 | 342504 | 1.8425          | {'f1': 0.8774193548387096} | {'accuracy': 0.8178331735378715} |
| 0.0023        | 1279.0 | 342772 | 2.0166          | {'f1': 0.878017789072427}  | {'accuracy': 0.8159156279961649} |
| 0.0028        | 1280.0 | 343040 | 1.7724          | {'f1': 0.881201044386423}  | {'accuracy': 0.825503355704698}  |
| 0.0028        | 1281.0 | 343308 | 1.8734          | {'f1': 0.8804627249357326} | {'accuracy': 0.8216682646212847} |
| 0.0024        | 1282.0 | 343576 | 1.8742          | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.0024        | 1283.0 | 343844 | 1.7987          | {'f1': 0.881201044386423}  | {'accuracy': 0.825503355704698}  |
| 0.004         | 1284.0 | 344112 | 1.8626          | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.004         | 1285.0 | 344380 | 1.8775          | {'f1': 0.8808757244043787} | {'accuracy': 0.822627037392138}  |
| 0.0027        | 1286.0 | 344648 | 1.8029          | {'f1': 0.8790058862001309} | {'accuracy': 0.822627037392138}  |
| 0.0027        | 1287.0 | 344916 | 1.8722          | {'f1': 0.8781431334622825} | {'accuracy': 0.8187919463087249} |
| 0.0022        | 1288.0 | 345184 | 1.9832          | {'f1': 0.8803582853486884} | {'accuracy': 0.8207094918504314} |
| 0.0022        | 1289.0 | 345452 | 1.9973          | {'f1': 0.8788265306122449} | {'accuracy': 0.8178331735378715} |
| 0.0028        | 1290.0 | 345720 | 1.8957          | {'f1': 0.8811369509043928} | {'accuracy': 0.8235858101629914} |
| 0.0028        | 1291.0 | 345988 | 1.9370          | {'f1': 0.8796414852752881} | {'accuracy': 0.8197507190795782} |
| 0.002         | 1292.0 | 346256 | 1.8383          | {'f1': 0.880103694102398}  | {'accuracy': 0.822627037392138}  |
| 0.0025        | 1293.0 | 346524 | 1.8794          | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138}  |
| 0.0025        | 1294.0 | 346792 | 1.8439          | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698}  |
| 0.0029        | 1295.0 | 347060 | 1.9400          | {'f1': 0.8804627249357326} | {'accuracy': 0.8216682646212847} |
| 0.0029        | 1296.0 | 347328 | 1.7717          | {'f1': 0.8824306472919419} | {'accuracy': 0.8293384467881112} |
| 0.0028        | 1297.0 | 347596 | 1.7711          | {'f1': 0.8798424162836507} | {'accuracy': 0.8245445829338447} |
| 0.0028        | 1298.0 | 347864 | 1.7864          | {'f1': 0.8805774278215224} | {'accuracy': 0.825503355704698}  |
| 0.003         | 1299.0 | 348132 | 1.8508          | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.003         | 1300.0 | 348400 | 1.8795          | {'f1': 0.8798972382787411} | {'accuracy': 0.8207094918504314} |
| 0.0033        | 1301.0 | 348668 | 1.8508          | {'f1': 0.8820116054158607} | {'accuracy': 0.8245445829338447} |
| 0.0033        | 1302.0 | 348936 | 1.8456          | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0017        | 1303.0 | 349204 | 1.8790          | {'f1': 0.8808757244043787} | {'accuracy': 0.822627037392138}  |
| 0.0017        | 1304.0 | 349472 | 1.7898          | {'f1': 0.8794233289646134} | {'accuracy': 0.8235858101629914} |
| 0.0027        | 1305.0 | 349740 | 1.8166          | {'f1': 0.8830486202365309} | {'accuracy': 0.8293384467881112} |
| 0.0018        | 1306.0 | 350008 | 1.8170          | {'f1': 0.8830486202365309} | {'accuracy': 0.8293384467881112} |
| 0.0018        | 1307.0 | 350276 | 1.8507          | {'f1': 0.881201044386423}  | {'accuracy': 0.825503355704698}  |
| 0.0036        | 1308.0 | 350544 | 1.9425          | {'f1': 0.8775773195876289} | {'accuracy': 0.8178331735378715} |
| 0.0036        | 1309.0 | 350812 | 1.8448          | {'f1': 0.8805774278215224} | {'accuracy': 0.825503355704698}  |
| 0.0042        | 1310.0 | 351080 | 1.9039          | {'f1': 0.8756476683937825} | {'accuracy': 0.8159156279961649} |
| 0.0042        | 1311.0 | 351348 | 1.9001          | {'f1': 0.875893437296946}  | {'accuracy': 0.8168744007670182} |
| 0.0031        | 1312.0 | 351616 | 1.9099          | {'f1': 0.8771021992238034} | {'accuracy': 0.8178331735378715} |
| 0.0031        | 1313.0 | 351884 | 1.8716          | {'f1': 0.8779220779220779} | {'accuracy': 0.8197507190795782} |
| 0.0018        | 1314.0 | 352152 | 1.8785          | {'f1': 0.8773523685918235} | {'accuracy': 0.8187919463087249} |
| 0.0018        | 1315.0 | 352420 | 1.9126          | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.0031        | 1316.0 | 352688 | 1.8295          | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0031        | 1317.0 | 352956 | 1.9206          | {'f1': 0.8804627249357326} | {'accuracy': 0.8216682646212847} |
| 0.0032        | 1318.0 | 353224 | 1.9275          | {'f1': 0.8806161745827985} | {'accuracy': 0.8216682646212847} |
| 0.0032        | 1319.0 | 353492 | 1.8038          | {'f1': 0.878334417696812}  | {'accuracy': 0.8207094918504314} |
| 0.0019        | 1320.0 | 353760 | 1.8142          | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.004         | 1321.0 | 354028 | 1.8275          | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.004         | 1322.0 | 354296 | 1.8953          | {'f1': 0.8789644012944984} | {'accuracy': 0.8207094918504314} |
| 0.0021        | 1323.0 | 354564 | 1.8318          | {'f1': 0.8796356538711776} | {'accuracy': 0.822627037392138}  |
| 0.0021        | 1324.0 | 354832 | 1.9247          | {'f1': 0.8803088803088803} | {'accuracy': 0.8216682646212847} |
| 0.0027        | 1325.0 | 355100 | 2.0419          | {'f1': 0.875875238701464}  | {'accuracy': 0.8130393096836049} |
| 0.0027        | 1326.0 | 355368 | 1.9456          | {'f1': 0.8768536428110896} | {'accuracy': 0.8168744007670182} |
| 0.0026        | 1327.0 | 355636 | 1.9208          | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.0026        | 1328.0 | 355904 | 1.9859          | {'f1': 0.8802049967969251} | {'accuracy': 0.8207094918504314} |
| 0.0027        | 1329.0 | 356172 | 1.8404          | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.0027        | 1330.0 | 356440 | 1.7770          | {'f1': 0.88}               | {'accuracy': 0.8245445829338447} |
| 0.0052        | 1331.0 | 356708 | 1.9164          | {'f1': 0.8790218790218791} | {'accuracy': 0.8197507190795782} |
| 0.0052        | 1332.0 | 356976 | 1.8822          | {'f1': 0.8812903225806452} | {'accuracy': 0.8235858101629914} |
| 0.0035        | 1333.0 | 357244 | 1.8591          | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138}  |
| 0.003         | 1334.0 | 357512 | 1.7935          | {'f1': 0.8816219751471549} | {'accuracy': 0.8264621284755513} |
| 0.003         | 1335.0 | 357780 | 1.8387          | {'f1': 0.8810916179337233} | {'accuracy': 0.8245445829338447} |
| 0.0037        | 1336.0 | 358048 | 1.9405          | {'f1': 0.879177377892031}  | {'accuracy': 0.8197507190795782} |
| 0.0037        | 1337.0 | 358316 | 1.8556          | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0036        | 1338.0 | 358584 | 1.9032          | {'f1': 0.8780487804878049} | {'accuracy': 0.8178331735378715} |
| 0.0036        | 1339.0 | 358852 | 1.8323          | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698}  |
| 0.0033        | 1340.0 | 359120 | 1.8037          | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.0033        | 1341.0 | 359388 | 1.8194          | {'f1': 0.8776699029126214} | {'accuracy': 0.8187919463087249} |
| 0.0029        | 1342.0 | 359656 | 1.7335          | {'f1': 0.8809993425378042} | {'accuracy': 0.8264621284755513} |
| 0.0029        | 1343.0 | 359924 | 1.7807          | {'f1': 0.8821989528795812} | {'accuracy': 0.8274209012464045} |
| 0.0021        | 1344.0 | 360192 | 1.9215          | {'f1': 0.8773281952472703} | {'accuracy': 0.8168744007670182} |
| 0.0021        | 1345.0 | 360460 | 1.8503          | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.0024        | 1346.0 | 360728 | 1.8224          | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138}  |
| 0.0024        | 1347.0 | 360996 | 1.7595          | {'f1': 0.88}               | {'accuracy': 0.8245445829338447} |
| 0.003         | 1348.0 | 361264 | 1.8025          | {'f1': 0.8797385620915033} | {'accuracy': 0.8235858101629914} |
| 0.0022        | 1349.0 | 361532 | 1.9341          | {'f1': 0.8787684413085312} | {'accuracy': 0.8187919463087249} |
| 0.0022        | 1350.0 | 361800 | 1.8708          | {'f1': 0.877284595300261}  | {'accuracy': 0.8197507190795782} |
| 0.0017        | 1351.0 | 362068 | 1.8931          | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.0017        | 1352.0 | 362336 | 1.9393          | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0036        | 1353.0 | 362604 | 1.9224          | {'f1': 0.8772609819121446} | {'accuracy': 0.8178331735378715} |
| 0.0036        | 1354.0 | 362872 | 1.7791          | {'f1': 0.8815354070152218} | {'accuracy': 0.8283796740172579} |
| 0.0028        | 1355.0 | 363140 | 1.9070          | {'f1': 0.8775113415424498} | {'accuracy': 0.8187919463087249} |
| 0.0028        | 1356.0 | 363408 | 1.8885          | {'f1': 0.8776699029126214} | {'accuracy': 0.8187919463087249} |
| 0.0038        | 1357.0 | 363676 | 1.8156          | {'f1': 0.8807339449541284} | {'accuracy': 0.825503355704698}  |
| 0.0038        | 1358.0 | 363944 | 1.8661          | {'f1': 0.8768729641693811} | {'accuracy': 0.8187919463087249} |
| 0.0017        | 1359.0 | 364212 | 1.8853          | {'f1': 0.8773523685918235} | {'accuracy': 0.8187919463087249} |
| 0.0017        | 1360.0 | 364480 | 1.9505          | {'f1': 0.8766066838046273} | {'accuracy': 0.8159156279961649} |
| 0.0021        | 1361.0 | 364748 | 2.0340          | {'f1': 0.8753180661577609} | {'accuracy': 0.8120805369127517} |
| 0.0036        | 1362.0 | 365016 | 1.8009          | {'f1': 0.8796844181459565} | {'accuracy': 0.8245445829338447} |
| 0.0036        | 1363.0 | 365284 | 1.8448          | {'f1': 0.8780169602087411} | {'accuracy': 0.8207094918504314} |
| 0.0026        | 1364.0 | 365552 | 1.8538          | {'f1': 0.877444589308996}  | {'accuracy': 0.8197507190795782} |
| 0.0026        | 1365.0 | 365820 | 2.0301          | {'f1': 0.8741214057507987} | {'accuracy': 0.8111217641418984} |
| 0.0023        | 1366.0 | 366088 | 1.9828          | {'f1': 0.8766066838046273} | {'accuracy': 0.8159156279961649} |
| 0.0023        | 1367.0 | 366356 | 1.9144          | {'f1': 0.8788075178224238} | {'accuracy': 0.8207094918504314} |
| 0.0023        | 1368.0 | 366624 | 1.8790          | {'f1': 0.8804702808621816} | {'accuracy': 0.8245445829338447} |
| 0.0023        | 1369.0 | 366892 | 1.8129          | {'f1': 0.8834759710335748} | {'accuracy': 0.8302972195589645} |
| 0.0045        | 1370.0 | 367160 | 1.8688          | {'f1': 0.8813559322033898} | {'accuracy': 0.825503355704698}  |
| 0.0045        | 1371.0 | 367428 | 1.8836          | {'f1': 0.8767123287671234} | {'accuracy': 0.8187919463087249} |
| 0.0024        | 1372.0 | 367696 | 1.8520          | {'f1': 0.8792650918635171} | {'accuracy': 0.8235858101629914} |
| 0.0024        | 1373.0 | 367964 | 1.8999          | {'f1': 0.8763020833333333} | {'accuracy': 0.8178331735378715} |
| 0.0029        | 1374.0 | 368232 | 2.0409          | {'f1': 0.8785166240409207} | {'accuracy': 0.8178331735378715} |
| 0.0023        | 1375.0 | 368500 | 1.9475          | {'f1': 0.880103694102398}  | {'accuracy': 0.822627037392138}  |
| 0.0023        | 1376.0 | 368768 | 1.9547          | {'f1': 0.8778280542986426} | {'accuracy': 0.8187919463087249} |
| 0.0053        | 1377.0 | 369036 | 1.8370          | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0053        | 1378.0 | 369304 | 1.9567          | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0019        | 1379.0 | 369572 | 2.0041          | {'f1': 0.8743589743589745} | {'accuracy': 0.8120805369127517} |
| 0.0019        | 1380.0 | 369840 | 1.9010          | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0022        | 1381.0 | 370108 | 2.0259          | {'f1': 0.8735632183908045} | {'accuracy': 0.8101629913710451} |
| 0.0022        | 1382.0 | 370376 | 1.9936          | {'f1': 0.8752399232245682} | {'accuracy': 0.8130393096836049} |
| 0.003         | 1383.0 | 370644 | 1.8355          | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.003         | 1384.0 | 370912 | 1.8461          | {'f1': 0.8832354859752121} | {'accuracy': 0.8283796740172579} |
| 0.0026        | 1385.0 | 371180 | 1.8445          | {'f1': 0.8819308545335943} | {'accuracy': 0.8264621284755513} |
| 0.0026        | 1386.0 | 371448 | 1.8037          | {'f1': 0.8776041666666666} | {'accuracy': 0.8197507190795782} |
| 0.0061        | 1387.0 | 371716 | 1.8179          | {'f1': 0.8770331815224464} | {'accuracy': 0.8187919463087249} |
| 0.0061        | 1388.0 | 371984 | 1.8260          | {'f1': 0.8792207792207791} | {'accuracy': 0.8216682646212847} |
| 0.0032        | 1389.0 | 372252 | 1.8579          | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0025        | 1390.0 | 372520 | 1.8008          | {'f1': 0.8806262230919765} | {'accuracy': 0.8245445829338447} |
| 0.0025        | 1391.0 | 372788 | 1.8212          | {'f1': 0.881399870382372}  | {'accuracy': 0.8245445829338447} |
| 0.0036        | 1392.0 | 373056 | 1.8121          | {'f1': 0.8779220779220779} | {'accuracy': 0.8197507190795782} |
| 0.0036        | 1393.0 | 373324 | 1.8379          | {'f1': 0.8793774319066148} | {'accuracy': 0.8216682646212847} |
| 0.0033        | 1394.0 | 373592 | 1.9010          | {'f1': 0.8773281952472703} | {'accuracy': 0.8168744007670182} |
| 0.0033        | 1395.0 | 373860 | 1.8129          | {'f1': 0.8788075178224238} | {'accuracy': 0.8207094918504314} |
| 0.0022        | 1396.0 | 374128 | 1.7556          | {'f1': 0.8772160210111623} | {'accuracy': 0.8207094918504314} |
| 0.0022        | 1397.0 | 374396 | 1.7995          | {'f1': 0.8800521512385918} | {'accuracy': 0.8235858101629914} |
| 0.0025        | 1398.0 | 374664 | 1.8804          | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0025        | 1399.0 | 374932 | 1.9120          | {'f1': 0.8773281952472703} | {'accuracy': 0.8168744007670182} |
| 0.0022        | 1400.0 | 375200 | 1.9074          | {'f1': 0.8771704180064309} | {'accuracy': 0.8168744007670182} |
| 0.0022        | 1401.0 | 375468 | 1.9763          | {'f1': 0.8766773162939298} | {'accuracy': 0.8149568552253116} |
| 0.0028        | 1402.0 | 375736 | 1.8266          | {'f1': 0.8825065274151437} | {'accuracy': 0.8274209012464045} |
| 0.0021        | 1403.0 | 376004 | 1.8277          | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0021        | 1404.0 | 376272 | 1.8651          | {'f1': 0.8845654993514916} | {'accuracy': 0.8293384467881112} |
| 0.0023        | 1405.0 | 376540 | 1.8384          | {'f1': 0.8841145833333333} | {'accuracy': 0.8293384467881112} |
| 0.0023        | 1406.0 | 376808 | 1.9099          | {'f1': 0.880722114764668}  | {'accuracy': 0.822627037392138}  |
| 0.0022        | 1407.0 | 377076 | 1.8257          | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0022        | 1408.0 | 377344 | 1.8393          | {'f1': 0.8839634941329856} | {'accuracy': 0.8293384467881112} |
| 0.0021        | 1409.0 | 377612 | 1.7979          | {'f1': 0.8829300196206671} | {'accuracy': 0.8283796740172579} |
| 0.0021        | 1410.0 | 377880 | 1.8133          | {'f1': 0.8862745098039215} | {'accuracy': 0.8331735378715245} |
| 0.0025        | 1411.0 | 378148 | 1.8180          | {'f1': 0.8864229765013055} | {'accuracy': 0.8331735378715245} |
| 0.0025        | 1412.0 | 378416 | 1.7902          | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.0038        | 1413.0 | 378684 | 1.8083          | {'f1': 0.8835393623942747} | {'accuracy': 0.8283796740172579} |
| 0.0038        | 1414.0 | 378952 | 1.8757          | {'f1': 0.8837209302325582} | {'accuracy': 0.8274209012464045} |
| 0.0031        | 1415.0 | 379220 | 1.8037          | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0031        | 1416.0 | 379488 | 1.7432          | {'f1': 0.8826229508196721} | {'accuracy': 0.8283796740172579} |
| 0.0028        | 1417.0 | 379756 | 1.7664          | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.0033        | 1418.0 | 380024 | 1.7910          | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.0033        | 1419.0 | 380292 | 1.7409          | {'f1': 0.8826229508196721} | {'accuracy': 0.8283796740172579} |
| 0.0034        | 1420.0 | 380560 | 1.7610          | {'f1': 0.8861256544502618} | {'accuracy': 0.8331735378715245} |
| 0.0034        | 1421.0 | 380828 | 1.7375          | {'f1': 0.8826229508196721} | {'accuracy': 0.8283796740172579} |
| 0.0028        | 1422.0 | 381096 | 1.7903          | {'f1': 0.8873056994818653} | {'accuracy': 0.8331735378715245} |
| 0.0028        | 1423.0 | 381364 | 1.7747          | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0022        | 1424.0 | 381632 | 1.8402          | {'f1': 0.8842921784098255} | {'accuracy': 0.8283796740172579} |
| 0.0022        | 1425.0 | 381900 | 1.8666          | {'f1': 0.8838709677419355} | {'accuracy': 0.8274209012464045} |
| 0.0022        | 1426.0 | 382168 | 1.8150          | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.0022        | 1427.0 | 382436 | 1.7601          | {'f1': 0.8826229508196721} | {'accuracy': 0.8283796740172579} |
| 0.0046        | 1428.0 | 382704 | 1.7706          | {'f1': 0.8829300196206671} | {'accuracy': 0.8283796740172579} |
| 0.0046        | 1429.0 | 382972 | 1.7924          | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.003         | 1430.0 | 383240 | 1.7873          | {'f1': 0.88296488946684}   | {'accuracy': 0.8274209012464045} |
| 0.0034        | 1431.0 | 383508 | 1.7461          | {'f1': 0.8817766165904638} | {'accuracy': 0.8264621284755513} |
| 0.0034        | 1432.0 | 383776 | 1.7214          | {'f1': 0.8837820091923834} | {'accuracy': 0.8302972195589645} |
| 0.0036        | 1433.0 | 384044 | 1.8815          | {'f1': 0.8797427652733119} | {'accuracy': 0.8207094918504314} |
| 0.0036        | 1434.0 | 384312 | 1.8720          | {'f1': 0.8801546391752577} | {'accuracy': 0.8216682646212847} |
| 0.0023        | 1435.0 | 384580 | 1.8030          | {'f1': 0.88296488946684}   | {'accuracy': 0.8274209012464045} |
| 0.0023        | 1436.0 | 384848 | 1.7756          | {'f1': 0.8856956237753103} | {'accuracy': 0.8322147651006712} |
| 0.0016        | 1437.0 | 385116 | 1.7079          | {'f1': 0.882392026578073}  | {'accuracy': 0.8302972195589645} |
| 0.0016        | 1438.0 | 385384 | 1.7674          | {'f1': 0.8840864440078585} | {'accuracy': 0.8302972195589645} |
| 0.0029        | 1439.0 | 385652 | 1.7752          | {'f1': 0.8833551769331585} | {'accuracy': 0.8293384467881112} |
| 0.0029        | 1440.0 | 385920 | 1.8759          | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0022        | 1441.0 | 386188 | 1.9013          | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0022        | 1442.0 | 386456 | 1.8416          | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.0036        | 1443.0 | 386724 | 2.0045          | {'f1': 0.8775510204081634} | {'accuracy': 0.8159156279961649} |
| 0.0036        | 1444.0 | 386992 | 1.9100          | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.0038        | 1445.0 | 387260 | 1.9557          | {'f1': 0.8810289389067525} | {'accuracy': 0.822627037392138}  |
| 0.0021        | 1446.0 | 387528 | 1.9332          | {'f1': 0.8775773195876289} | {'accuracy': 0.8178331735378715} |
| 0.0021        | 1447.0 | 387796 | 1.8294          | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0051        | 1448.0 | 388064 | 1.8972          | {'f1': 0.8795878943979395} | {'accuracy': 0.8207094918504314} |
| 0.0051        | 1449.0 | 388332 | 1.9577          | {'f1': 0.8783610755441742} | {'accuracy': 0.8178331735378715} |
| 0.0029        | 1450.0 | 388600 | 1.9377          | {'f1': 0.8774855676715844} | {'accuracy': 0.8168744007670182} |
| 0.0029        | 1451.0 | 388868 | 1.9176          | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.002         | 1452.0 | 389136 | 1.9199          | {'f1': 0.8790218790218791} | {'accuracy': 0.8197507190795782} |
| 0.002         | 1453.0 | 389404 | 1.9482          | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.0021        | 1454.0 | 389672 | 1.8220          | {'f1': 0.877444589308996}  | {'accuracy': 0.8197507190795782} |
| 0.0021        | 1455.0 | 389940 | 1.9230          | {'f1': 0.8795878943979395} | {'accuracy': 0.8207094918504314} |
| 0.004         | 1456.0 | 390208 | 1.8703          | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.004         | 1457.0 | 390476 | 1.8204          | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.002         | 1458.0 | 390744 | 1.7846          | {'f1': 0.8806262230919765} | {'accuracy': 0.8245445829338447} |
| 0.0037        | 1459.0 | 391012 | 1.8871          | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.0037        | 1460.0 | 391280 | 1.8799          | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138}  |
| 0.0023        | 1461.0 | 391548 | 1.8332          | {'f1': 0.880674448767834}  | {'accuracy': 0.8235858101629914} |
| 0.0023        | 1462.0 | 391816 | 1.8753          | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0021        | 1463.0 | 392084 | 1.9466          | {'f1': 0.8801546391752577} | {'accuracy': 0.8216682646212847} |
| 0.0021        | 1464.0 | 392352 | 2.0415          | {'f1': 0.8757170172084129} | {'accuracy': 0.8130393096836049} |
| 0.002         | 1465.0 | 392620 | 2.0344          | {'f1': 0.876117496807152}  | {'accuracy': 0.8139980824544583} |
| 0.002         | 1466.0 | 392888 | 1.9655          | {'f1': 0.8786127167630058} | {'accuracy': 0.8187919463087249} |
| 0.002         | 1467.0 | 393156 | 1.8911          | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.002         | 1468.0 | 393424 | 1.8612          | {'f1': 0.8790637191157347} | {'accuracy': 0.8216682646212847} |
| 0.0023        | 1469.0 | 393692 | 1.9963          | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.0023        | 1470.0 | 393960 | 1.9838          | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0023        | 1471.0 | 394228 | 1.8686          | {'f1': 0.8795811518324608} | {'accuracy': 0.8235858101629914} |
| 0.0023        | 1472.0 | 394496 | 1.9247          | {'f1': 0.8785529715762274} | {'accuracy': 0.8197507190795782} |
| 0.0026        | 1473.0 | 394764 | 1.9669          | {'f1': 0.8785529715762274} | {'accuracy': 0.8197507190795782} |
| 0.002         | 1474.0 | 395032 | 1.9622          | {'f1': 0.8785529715762274} | {'accuracy': 0.8197507190795782} |
| 0.002         | 1475.0 | 395300 | 1.9325          | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.0032        | 1476.0 | 395568 | 1.9709          | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0032        | 1477.0 | 395836 | 1.9660          | {'f1': 0.8785529715762274} | {'accuracy': 0.8197507190795782} |
| 0.0022        | 1478.0 | 396104 | 1.9600          | {'f1': 0.8785529715762274} | {'accuracy': 0.8197507190795782} |
| 0.0022        | 1479.0 | 396372 | 1.8900          | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138}  |
| 0.0042        | 1480.0 | 396640 | 1.9664          | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0042        | 1481.0 | 396908 | 1.9763          | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.003         | 1482.0 | 397176 | 1.9680          | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.003         | 1483.0 | 397444 | 1.8329          | {'f1': 0.8808900523560209} | {'accuracy': 0.825503355704698}  |
| 0.0019        | 1484.0 | 397712 | 1.9913          | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0019        | 1485.0 | 397980 | 1.9807          | {'f1': 0.8775773195876289} | {'accuracy': 0.8178331735378715} |
| 0.0021        | 1486.0 | 398248 | 1.9790          | {'f1': 0.8775773195876289} | {'accuracy': 0.8178331735378715} |
| 0.0025        | 1487.0 | 398516 | 1.9015          | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0025        | 1488.0 | 398784 | 1.9864          | {'f1': 0.8774193548387096} | {'accuracy': 0.8178331735378715} |
| 0.0019        | 1489.0 | 399052 | 1.8955          | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0019        | 1490.0 | 399320 | 2.0427          | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0024        | 1491.0 | 399588 | 2.0652          | {'f1': 0.876765083440308}  | {'accuracy': 0.8159156279961649} |
| 0.0024        | 1492.0 | 399856 | 2.0662          | {'f1': 0.8762026940346376} | {'accuracy': 0.8149568552253116} |
| 0.0024        | 1493.0 | 400124 | 1.9887          | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.0024        | 1494.0 | 400392 | 1.9015          | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0017        | 1495.0 | 400660 | 1.8408          | {'f1': 0.8817345597897503} | {'accuracy': 0.8274209012464045} |
| 0.0017        | 1496.0 | 400928 | 1.9804          | {'f1': 0.8789644012944984} | {'accuracy': 0.8207094918504314} |
| 0.0029        | 1497.0 | 401196 | 1.9977          | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.0029        | 1498.0 | 401464 | 1.8782          | {'f1': 0.8840864440078585} | {'accuracy': 0.8302972195589645} |
| 0.0019        | 1499.0 | 401732 | 1.9155          | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.0022        | 1500.0 | 402000 | 1.9544          | {'f1': 0.880103694102398}  | {'accuracy': 0.822627037392138}  |
| 0.0022        | 1501.0 | 402268 | 1.9650          | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.0021        | 1502.0 | 402536 | 1.9610          | {'f1': 0.880103694102398}  | {'accuracy': 0.822627037392138}  |
| 0.0021        | 1503.0 | 402804 | 1.9514          | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138}  |
| 0.0031        | 1504.0 | 403072 | 1.8767          | {'f1': 0.8802631578947369} | {'accuracy': 0.825503355704698}  |
| 0.0031        | 1505.0 | 403340 | 1.9552          | {'f1': 0.8788075178224238} | {'accuracy': 0.8207094918504314} |
| 0.0019        | 1506.0 | 403608 | 1.9432          | {'f1': 0.8813559322033898} | {'accuracy': 0.825503355704698}  |
| 0.0019        | 1507.0 | 403876 | 2.0299          | {'f1': 0.880722114764668}  | {'accuracy': 0.822627037392138}  |
| 0.0022        | 1508.0 | 404144 | 1.9508          | {'f1': 0.881664499349805}  | {'accuracy': 0.825503355704698}  |
| 0.0022        | 1509.0 | 404412 | 2.0056          | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.0023        | 1510.0 | 404680 | 1.9737          | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138}  |
| 0.0023        | 1511.0 | 404948 | 1.9024          | {'f1': 0.8807817589576548} | {'accuracy': 0.8245445829338447} |
| 0.0019        | 1512.0 | 405216 | 1.9625          | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138}  |
| 0.0019        | 1513.0 | 405484 | 1.8806          | {'f1': 0.8797385620915033} | {'accuracy': 0.8235858101629914} |
| 0.0028        | 1514.0 | 405752 | 1.9175          | {'f1': 0.88296488946684}   | {'accuracy': 0.8274209012464045} |
| 0.0024        | 1515.0 | 406020 | 2.0019          | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138}  |
| 0.0024        | 1516.0 | 406288 | 2.0095          | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138}  |
| 0.0019        | 1517.0 | 406556 | 1.9970          | {'f1': 0.8811369509043928} | {'accuracy': 0.8235858101629914} |
| 0.0019        | 1518.0 | 406824 | 2.0271          | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.003         | 1519.0 | 407092 | 1.9790          | {'f1': 0.8817065287653523} | {'accuracy': 0.8245445829338447} |
| 0.003         | 1520.0 | 407360 | 1.9818          | {'f1': 0.8817065287653523} | {'accuracy': 0.8245445829338447} |
| 0.0017        | 1521.0 | 407628 | 1.8184          | {'f1': 0.8779840848806366} | {'accuracy': 0.8235858101629914} |
| 0.0017        | 1522.0 | 407896 | 2.0040          | {'f1': 0.8801546391752577} | {'accuracy': 0.8216682646212847} |
| 0.0021        | 1523.0 | 408164 | 2.0570          | {'f1': 0.8773281952472703} | {'accuracy': 0.8168744007670182} |
| 0.0021        | 1524.0 | 408432 | 2.0421          | {'f1': 0.8773281952472703} | {'accuracy': 0.8168744007670182} |
| 0.0025        | 1525.0 | 408700 | 1.9911          | {'f1': 0.8801546391752577} | {'accuracy': 0.8216682646212847} |
| 0.0025        | 1526.0 | 408968 | 1.9922          | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0021        | 1527.0 | 409236 | 2.0518          | {'f1': 0.8773281952472703} | {'accuracy': 0.8168744007670182} |
| 0.0029        | 1528.0 | 409504 | 1.9644          | {'f1': 0.880722114764668}  | {'accuracy': 0.822627037392138}  |
| 0.0029        | 1529.0 | 409772 | 1.9503          | {'f1': 0.880722114764668}  | {'accuracy': 0.822627037392138}  |
| 0.002         | 1530.0 | 410040 | 1.9427          | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138}  |
| 0.002         | 1531.0 | 410308 | 2.0120          | {'f1': 0.8795878943979395} | {'accuracy': 0.8207094918504314} |
| 0.002         | 1532.0 | 410576 | 2.0290          | {'f1': 0.8795878943979395} | {'accuracy': 0.8207094918504314} |
| 0.002         | 1533.0 | 410844 | 2.0733          | {'f1': 0.8793324775353017} | {'accuracy': 0.8197507190795782} |
| 0.002         | 1534.0 | 411112 | 1.9427          | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.002         | 1535.0 | 411380 | 1.9818          | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138}  |
| 0.0023        | 1536.0 | 411648 | 1.9344          | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698}  |
| 0.0023        | 1537.0 | 411916 | 1.9396          | {'f1': 0.881399870382372}  | {'accuracy': 0.8245445829338447} |
| 0.0034        | 1538.0 | 412184 | 2.0222          | {'f1': 0.8777348777348777} | {'accuracy': 0.8178331735378715} |
| 0.0034        | 1539.0 | 412452 | 1.9295          | {'f1': 0.8793774319066148} | {'accuracy': 0.8216682646212847} |
| 0.0027        | 1540.0 | 412720 | 1.9853          | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138}  |
| 0.0027        | 1541.0 | 412988 | 1.9830          | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0019        | 1542.0 | 413256 | 1.9594          | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138}  |
| 0.0022        | 1543.0 | 413524 | 1.8981          | {'f1': 0.8802083333333333} | {'accuracy': 0.8235858101629914} |
| 0.0022        | 1544.0 | 413792 | 1.9391          | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138}  |
| 0.002         | 1545.0 | 414060 | 1.9500          | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138}  |
| 0.002         | 1546.0 | 414328 | 2.0311          | {'f1': 0.8797427652733119} | {'accuracy': 0.8207094918504314} |
| 0.0041        | 1547.0 | 414596 | 2.0253          | {'f1': 0.8797427652733119} | {'accuracy': 0.8207094918504314} |
| 0.0041        | 1548.0 | 414864 | 2.0690          | {'f1': 0.8774855676715844} | {'accuracy': 0.8168744007670182} |
| 0.0047        | 1549.0 | 415132 | 1.9977          | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0047        | 1550.0 | 415400 | 1.9320          | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138}  |
| 0.0019        | 1551.0 | 415668 | 1.9565          | {'f1': 0.8811369509043928} | {'accuracy': 0.8235858101629914} |
| 0.0019        | 1552.0 | 415936 | 1.8904          | {'f1': 0.8780169602087411} | {'accuracy': 0.8207094918504314} |
| 0.002         | 1553.0 | 416204 | 1.8294          | {'f1': 0.8796844181459565} | {'accuracy': 0.8245445829338447} |
| 0.002         | 1554.0 | 416472 | 1.9974          | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0038        | 1555.0 | 416740 | 1.9436          | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.0031        | 1556.0 | 417008 | 1.9326          | {'f1': 0.8792207792207791} | {'accuracy': 0.8216682646212847} |
| 0.0031        | 1557.0 | 417276 | 1.9437          | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138}  |
| 0.0019        | 1558.0 | 417544 | 1.9625          | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138}  |
| 0.0019        | 1559.0 | 417812 | 2.0105          | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.003         | 1560.0 | 418080 | 1.9443          | {'f1': 0.8796356538711776} | {'accuracy': 0.822627037392138}  |
| 0.003         | 1561.0 | 418348 | 1.9249          | {'f1': 0.8787483702737942} | {'accuracy': 0.8216682646212847} |
| 0.0033        | 1562.0 | 418616 | 1.9537          | {'f1': 0.8796356538711776} | {'accuracy': 0.822627037392138}  |
| 0.0033        | 1563.0 | 418884 | 2.0539          | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0024        | 1564.0 | 419152 | 2.0297          | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0024        | 1565.0 | 419420 | 2.0538          | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.0021        | 1566.0 | 419688 | 1.9807          | {'f1': 0.8771929824561404} | {'accuracy': 0.8187919463087249} |
| 0.0021        | 1567.0 | 419956 | 2.0284          | {'f1': 0.8789644012944984} | {'accuracy': 0.8207094918504314} |
| 0.0019        | 1568.0 | 420224 | 2.0183          | {'f1': 0.8778280542986426} | {'accuracy': 0.8187919463087249} |
| 0.0019        | 1569.0 | 420492 | 2.0209          | {'f1': 0.8778280542986426} | {'accuracy': 0.8187919463087249} |
| 0.0029        | 1570.0 | 420760 | 1.9751          | {'f1': 0.878334417696812}  | {'accuracy': 0.8207094918504314} |
| 0.0034        | 1571.0 | 421028 | 1.9197          | {'f1': 0.8784313725490197} | {'accuracy': 0.8216682646212847} |
| 0.0034        | 1572.0 | 421296 | 1.9816          | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.0034        | 1573.0 | 421564 | 1.9681          | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.0034        | 1574.0 | 421832 | 2.1050          | {'f1': 0.8750800768737989} | {'accuracy': 0.8130393096836049} |
| 0.0015        | 1575.0 | 422100 | 1.9767          | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0015        | 1576.0 | 422368 | 1.9921          | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0024        | 1577.0 | 422636 | 2.0013          | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.0024        | 1578.0 | 422904 | 2.0375          | {'f1': 0.8790218790218791} | {'accuracy': 0.8197507190795782} |
| 0.0026        | 1579.0 | 423172 | 2.0354          | {'f1': 0.880722114764668}  | {'accuracy': 0.822627037392138}  |
| 0.0026        | 1580.0 | 423440 | 2.0641          | {'f1': 0.8786127167630058} | {'accuracy': 0.8187919463087249} |
| 0.0022        | 1581.0 | 423708 | 2.0531          | {'f1': 0.879177377892031}  | {'accuracy': 0.8197507190795782} |
| 0.0022        | 1582.0 | 423976 | 1.9907          | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.0025        | 1583.0 | 424244 | 1.9915          | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.002         | 1584.0 | 424512 | 1.9894          | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.002         | 1585.0 | 424780 | 1.9783          | {'f1': 0.876943005181347}  | {'accuracy': 0.8178331735378715} |
| 0.002         | 1586.0 | 425048 | 2.0742          | {'f1': 0.879177377892031}  | {'accuracy': 0.8197507190795782} |
| 0.002         | 1587.0 | 425316 | 2.0048          | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.0017        | 1588.0 | 425584 | 1.9557          | {'f1': 0.8780169602087411} | {'accuracy': 0.8207094918504314} |
| 0.0017        | 1589.0 | 425852 | 1.9982          | {'f1': 0.8797920727745288} | {'accuracy': 0.822627037392138}  |
| 0.0034        | 1590.0 | 426120 | 1.9458          | {'f1': 0.8759791122715405} | {'accuracy': 0.8178331735378715} |
| 0.0034        | 1591.0 | 426388 | 1.9808          | {'f1': 0.8796356538711776} | {'accuracy': 0.822627037392138}  |
| 0.0021        | 1592.0 | 426656 | 2.0526          | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0021        | 1593.0 | 426924 | 2.0566          | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.0018        | 1594.0 | 427192 | 2.0762          | {'f1': 0.8781431334622825} | {'accuracy': 0.8187919463087249} |
| 0.0018        | 1595.0 | 427460 | 2.0954          | {'f1': 0.876765083440308}  | {'accuracy': 0.8159156279961649} |
| 0.0021        | 1596.0 | 427728 | 1.9510          | {'f1': 0.8785900783289817} | {'accuracy': 0.8216682646212847} |
| 0.0021        | 1597.0 | 427996 | 2.0208          | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138}  |
| 0.0043        | 1598.0 | 428264 | 2.0014          | {'f1': 0.8776699029126214} | {'accuracy': 0.8187919463087249} |
| 0.002         | 1599.0 | 428532 | 1.9976          | {'f1': 0.876943005181347}  | {'accuracy': 0.8178331735378715} |
| 0.002         | 1600.0 | 428800 | 2.0042          | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.0022        | 1601.0 | 429068 | 2.0410          | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.0022        | 1602.0 | 429336 | 1.9819          | {'f1': 0.8779220779220779} | {'accuracy': 0.8197507190795782} |
| 0.0024        | 1603.0 | 429604 | 2.0285          | {'f1': 0.8781431334622825} | {'accuracy': 0.8187919463087249} |
| 0.0024        | 1604.0 | 429872 | 2.0291          | {'f1': 0.8781431334622825} | {'accuracy': 0.8187919463087249} |
| 0.0021        | 1605.0 | 430140 | 2.0928          | {'f1': 0.876765083440308}  | {'accuracy': 0.8159156279961649} |
| 0.0021        | 1606.0 | 430408 | 2.0449          | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.0036        | 1607.0 | 430676 | 1.9584          | {'f1': 0.8768729641693811} | {'accuracy': 0.8187919463087249} |
| 0.0036        | 1608.0 | 430944 | 1.9609          | {'f1': 0.8776041666666666} | {'accuracy': 0.8197507190795782} |
| 0.0026        | 1609.0 | 431212 | 1.9620          | {'f1': 0.8776041666666666} | {'accuracy': 0.8197507190795782} |
| 0.0026        | 1610.0 | 431480 | 1.9969          | {'f1': 0.8779220779220779} | {'accuracy': 0.8197507190795782} |
| 0.0024        | 1611.0 | 431748 | 1.9967          | {'f1': 0.8779220779220779} | {'accuracy': 0.8197507190795782} |
| 0.0021        | 1612.0 | 432016 | 2.0796          | {'f1': 0.8790218790218791} | {'accuracy': 0.8197507190795782} |
| 0.0021        | 1613.0 | 432284 | 2.0727          | {'f1': 0.8795878943979395} | {'accuracy': 0.8207094918504314} |
| 0.0021        | 1614.0 | 432552 | 2.0023          | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138}  |
| 0.0021        | 1615.0 | 432820 | 2.0401          | {'f1': 0.8789644012944984} | {'accuracy': 0.8207094918504314} |
| 0.0048        | 1616.0 | 433088 | 2.0088          | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138}  |
| 0.0048        | 1617.0 | 433356 | 1.9605          | {'f1': 0.8784925276153347} | {'accuracy': 0.8207094918504314} |
| 0.0022        | 1618.0 | 433624 | 1.9041          | {'f1': 0.8762278978388998} | {'accuracy': 0.8187919463087249} |
| 0.0022        | 1619.0 | 433892 | 1.9567          | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0021        | 1620.0 | 434160 | 1.9671          | {'f1': 0.8797920727745288} | {'accuracy': 0.822627037392138}  |
| 0.0021        | 1621.0 | 434428 | 2.0291          | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0021        | 1622.0 | 434696 | 2.0936          | {'f1': 0.8762026940346376} | {'accuracy': 0.8149568552253116} |
| 0.0021        | 1623.0 | 434964 | 2.0022          | {'f1': 0.8776699029126214} | {'accuracy': 0.8187919463087249} |
| 0.0021        | 1624.0 | 435232 | 2.0557          | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0021        | 1625.0 | 435500 | 2.0490          | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0021        | 1626.0 | 435768 | 2.0603          | {'f1': 0.8781431334622825} | {'accuracy': 0.8187919463087249} |
| 0.0021        | 1627.0 | 436036 | 2.0565          | {'f1': 0.8781431334622825} | {'accuracy': 0.8187919463087249} |
| 0.0021        | 1628.0 | 436304 | 1.9758          | {'f1': 0.8781758957654723} | {'accuracy': 0.8207094918504314} |
| 0.0027        | 1629.0 | 436572 | 2.0067          | {'f1': 0.8782383419689119} | {'accuracy': 0.8197507190795782} |
| 0.0027        | 1630.0 | 436840 | 2.0706          | {'f1': 0.8764478764478765} | {'accuracy': 0.8159156279961649} |
| 0.0018        | 1631.0 | 437108 | 2.0654          | {'f1': 0.8775773195876289} | {'accuracy': 0.8178331735378715} |
| 0.0018        | 1632.0 | 437376 | 2.0621          | {'f1': 0.8770122343850613} | {'accuracy': 0.8168744007670182} |
| 0.0019        | 1633.0 | 437644 | 1.9835          | {'f1': 0.877444589308996}  | {'accuracy': 0.8197507190795782} |
| 0.0019        | 1634.0 | 437912 | 1.9852          | {'f1': 0.8787483702737942} | {'accuracy': 0.8216682646212847} |
| 0.0019        | 1635.0 | 438180 | 1.9865          | {'f1': 0.8794788273615636} | {'accuracy': 0.822627037392138}  |
| 0.0019        | 1636.0 | 438448 | 1.9898          | {'f1': 0.87890625}         | {'accuracy': 0.8216682646212847} |
| 0.0033        | 1637.0 | 438716 | 2.0490          | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.0033        | 1638.0 | 438984 | 2.0243          | {'f1': 0.8793774319066148} | {'accuracy': 0.8216682646212847} |
| 0.002         | 1639.0 | 439252 | 2.0249          | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138}  |
| 0.0032        | 1640.0 | 439520 | 1.9412          | {'f1': 0.8784313725490197} | {'accuracy': 0.8216682646212847} |
| 0.0032        | 1641.0 | 439788 | 1.9130          | {'f1': 0.88}               | {'accuracy': 0.8245445829338447} |
| 0.0026        | 1642.0 | 440056 | 1.9222          | {'f1': 0.8794233289646134} | {'accuracy': 0.8235858101629914} |
| 0.0026        | 1643.0 | 440324 | 1.9970          | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.0028        | 1644.0 | 440592 | 1.9347          | {'f1': 0.877124183006536}  | {'accuracy': 0.8197507190795782} |
| 0.0028        | 1645.0 | 440860 | 1.9298          | {'f1': 0.877284595300261}  | {'accuracy': 0.8197507190795782} |
| 0.0045        | 1646.0 | 441128 | 1.9475          | {'f1': 0.8781758957654723} | {'accuracy': 0.8207094918504314} |
| 0.0045        | 1647.0 | 441396 | 1.9559          | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0032        | 1648.0 | 441664 | 2.0192          | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138}  |
| 0.0032        | 1649.0 | 441932 | 2.0021          | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.0023        | 1650.0 | 442200 | 1.9616          | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0023        | 1651.0 | 442468 | 1.9237          | {'f1': 0.8791639451338994} | {'accuracy': 0.822627037392138}  |
| 0.0017        | 1652.0 | 442736 | 1.9250          | {'f1': 0.8791639451338994} | {'accuracy': 0.822627037392138}  |
| 0.002         | 1653.0 | 443004 | 2.0168          | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.002         | 1654.0 | 443272 | 1.9849          | {'f1': 0.880103694102398}  | {'accuracy': 0.822627037392138}  |
| 0.0021        | 1655.0 | 443540 | 1.9718          | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0021        | 1656.0 | 443808 | 1.9765          | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0032        | 1657.0 | 444076 | 1.9330          | {'f1': 0.8797385620915033} | {'accuracy': 0.8235858101629914} |
| 0.0032        | 1658.0 | 444344 | 1.9345          | {'f1': 0.8791639451338994} | {'accuracy': 0.822627037392138}  |
| 0.0021        | 1659.0 | 444612 | 1.9500          | {'f1': 0.8807817589576548} | {'accuracy': 0.8245445829338447} |
| 0.0021        | 1660.0 | 444880 | 1.9152          | {'f1': 0.8783694937541091} | {'accuracy': 0.822627037392138}  |
| 0.0022        | 1661.0 | 445148 | 1.9548          | {'f1': 0.8790058862001309} | {'accuracy': 0.822627037392138}  |
| 0.0022        | 1662.0 | 445416 | 1.9545          | {'f1': 0.8790058862001309} | {'accuracy': 0.822627037392138}  |
| 0.0021        | 1663.0 | 445684 | 1.9817          | {'f1': 0.878334417696812}  | {'accuracy': 0.8207094918504314} |
| 0.0021        | 1664.0 | 445952 | 2.0254          | {'f1': 0.8779857972885732} | {'accuracy': 0.8187919463087249} |
| 0.0019        | 1665.0 | 446220 | 2.0259          | {'f1': 0.8785529715762274} | {'accuracy': 0.8197507190795782} |
| 0.0019        | 1666.0 | 446488 | 2.0409          | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.0017        | 1667.0 | 446756 | 2.0387          | {'f1': 0.8779857972885732} | {'accuracy': 0.8187919463087249} |
| 0.0027        | 1668.0 | 447024 | 1.9986          | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0027        | 1669.0 | 447292 | 2.0057          | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0021        | 1670.0 | 447560 | 1.9701          | {'f1': 0.8790637191157347} | {'accuracy': 0.8216682646212847} |
| 0.0021        | 1671.0 | 447828 | 1.9939          | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.003         | 1672.0 | 448096 | 1.9974          | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.003         | 1673.0 | 448364 | 2.0041          | {'f1': 0.8811369509043928} | {'accuracy': 0.8235858101629914} |
| 0.0017        | 1674.0 | 448632 | 2.0174          | {'f1': 0.8801546391752577} | {'accuracy': 0.8216682646212847} |
| 0.0017        | 1675.0 | 448900 | 2.0108          | {'f1': 0.8814432989690721} | {'accuracy': 0.8235858101629914} |
| 0.0019        | 1676.0 | 449168 | 1.9803          | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138}  |
| 0.0019        | 1677.0 | 449436 | 2.0062          | {'f1': 0.880722114764668}  | {'accuracy': 0.822627037392138}  |
| 0.0021        | 1678.0 | 449704 | 1.9986          | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0021        | 1679.0 | 449972 | 2.0141          | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0031        | 1680.0 | 450240 | 2.0039          | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138}  |
| 0.0024        | 1681.0 | 450508 | 2.1084          | {'f1': 0.8782051282051283} | {'accuracy': 0.8178331735378715} |
| 0.0024        | 1682.0 | 450776 | 1.9954          | {'f1': 0.8801546391752577} | {'accuracy': 0.8216682646212847} |
| 0.0031        | 1683.0 | 451044 | 1.9495          | {'f1': 0.8781758957654723} | {'accuracy': 0.8207094918504314} |
| 0.0031        | 1684.0 | 451312 | 1.9179          | {'f1': 0.8773770491803279} | {'accuracy': 0.8207094918504314} |
| 0.0021        | 1685.0 | 451580 | 1.9332          | {'f1': 0.8790058862001309} | {'accuracy': 0.822627037392138}  |
| 0.0021        | 1686.0 | 451848 | 1.9108          | {'f1': 0.8786885245901639} | {'accuracy': 0.822627037392138}  |
| 0.0019        | 1687.0 | 452116 | 1.9095          | {'f1': 0.8792650918635171} | {'accuracy': 0.8235858101629914} |
| 0.0019        | 1688.0 | 452384 | 1.9508          | {'f1': 0.87890625}         | {'accuracy': 0.8216682646212847} |
| 0.0024        | 1689.0 | 452652 | 1.9476          | {'f1': 0.8764629388816645} | {'accuracy': 0.8178331735378715} |
| 0.0024        | 1690.0 | 452920 | 1.9619          | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.0032        | 1691.0 | 453188 | 1.9616          | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.0032        | 1692.0 | 453456 | 2.0316          | {'f1': 0.8795878943979395} | {'accuracy': 0.8207094918504314} |
| 0.0019        | 1693.0 | 453724 | 2.0270          | {'f1': 0.8795878943979395} | {'accuracy': 0.8207094918504314} |
| 0.0019        | 1694.0 | 453992 | 2.0054          | {'f1': 0.8785529715762274} | {'accuracy': 0.8197507190795782} |
| 0.0027        | 1695.0 | 454260 | 1.9698          | {'f1': 0.8779220779220779} | {'accuracy': 0.8197507190795782} |
| 0.0021        | 1696.0 | 454528 | 2.0272          | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.0021        | 1697.0 | 454796 | 2.0308          | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.0019        | 1698.0 | 455064 | 1.9836          | {'f1': 0.880103694102398}  | {'accuracy': 0.822627037392138}  |
| 0.0019        | 1699.0 | 455332 | 1.9901          | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.0021        | 1700.0 | 455600 | 1.9960          | {'f1': 0.8789644012944984} | {'accuracy': 0.8207094918504314} |
| 0.0021        | 1701.0 | 455868 | 1.9740          | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698}  |
| 0.0019        | 1702.0 | 456136 | 1.9996          | {'f1': 0.880103694102398}  | {'accuracy': 0.822627037392138}  |
| 0.0019        | 1703.0 | 456404 | 2.0399          | {'f1': 0.8801546391752577} | {'accuracy': 0.8216682646212847} |
| 0.0021        | 1704.0 | 456672 | 2.0247          | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.0021        | 1705.0 | 456940 | 2.0271          | {'f1': 0.8789644012944984} | {'accuracy': 0.8207094918504314} |
| 0.0018        | 1706.0 | 457208 | 1.9853          | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.0018        | 1707.0 | 457476 | 1.9886          | {'f1': 0.8810916179337233} | {'accuracy': 0.8245445829338447} |
| 0.0021        | 1708.0 | 457744 | 1.9602          | {'f1': 0.8813559322033898} | {'accuracy': 0.825503355704698}  |
| 0.0019        | 1709.0 | 458012 | 1.9544          | {'f1': 0.8813559322033898} | {'accuracy': 0.825503355704698}  |
| 0.0019        | 1710.0 | 458280 | 1.9539          | {'f1': 0.8819308545335943} | {'accuracy': 0.8264621284755513} |
| 0.0021        | 1711.0 | 458548 | 2.0223          | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.0021        | 1712.0 | 458816 | 1.9886          | {'f1': 0.880674448767834}  | {'accuracy': 0.8235858101629914} |
| 0.0033        | 1713.0 | 459084 | 1.9445          | {'f1': 0.8797385620915033} | {'accuracy': 0.8235858101629914} |
| 0.0033        | 1714.0 | 459352 | 1.9403          | {'f1': 0.8804702808621816} | {'accuracy': 0.8245445829338447} |
| 0.0027        | 1715.0 | 459620 | 2.0117          | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0027        | 1716.0 | 459888 | 2.0233          | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0027        | 1717.0 | 460156 | 1.9562          | {'f1': 0.8815104166666666} | {'accuracy': 0.825503355704698}  |
| 0.0027        | 1718.0 | 460424 | 1.9585          | {'f1': 0.8802083333333333} | {'accuracy': 0.8235858101629914} |
| 0.0022        | 1719.0 | 460692 | 1.9864          | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.0022        | 1720.0 | 460960 | 1.9721          | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0018        | 1721.0 | 461228 | 2.0007          | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.0018        | 1722.0 | 461496 | 1.9618          | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0022        | 1723.0 | 461764 | 1.9728          | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.002         | 1724.0 | 462032 | 1.9706          | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.002         | 1725.0 | 462300 | 1.9698          | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0019        | 1726.0 | 462568 | 1.9539          | {'f1': 0.8832354859752121} | {'accuracy': 0.8283796740172579} |
| 0.0019        | 1727.0 | 462836 | 2.0049          | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698}  |
| 0.0019        | 1728.0 | 463104 | 2.0003          | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698}  |
| 0.0019        | 1729.0 | 463372 | 2.0091          | {'f1': 0.8822768434670116} | {'accuracy': 0.825503355704698}  |
| 0.0039        | 1730.0 | 463640 | 1.9588          | {'f1': 0.8815104166666666} | {'accuracy': 0.825503355704698}  |
| 0.0039        | 1731.0 | 463908 | 1.9552          | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.002         | 1732.0 | 464176 | 1.9933          | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.002         | 1733.0 | 464444 | 2.0378          | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.002         | 1734.0 | 464712 | 2.0415          | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.002         | 1735.0 | 464980 | 2.0328          | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.0019        | 1736.0 | 465248 | 1.9991          | {'f1': 0.880674448767834}  | {'accuracy': 0.8235858101629914} |
| 0.0029        | 1737.0 | 465516 | 2.0223          | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0029        | 1738.0 | 465784 | 2.0726          | {'f1': 0.8790218790218791} | {'accuracy': 0.8197507190795782} |
| 0.0023        | 1739.0 | 466052 | 2.0523          | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138}  |
| 0.0023        | 1740.0 | 466320 | 2.0225          | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138}  |
| 0.002         | 1741.0 | 466588 | 2.0204          | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138}  |
| 0.002         | 1742.0 | 466856 | 1.9813          | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0014        | 1743.0 | 467124 | 1.9750          | {'f1': 0.8819308545335943} | {'accuracy': 0.8264621284755513} |
| 0.0014        | 1744.0 | 467392 | 1.9779          | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0024        | 1745.0 | 467660 | 1.9680          | {'f1': 0.8825065274151437} | {'accuracy': 0.8274209012464045} |
| 0.0024        | 1746.0 | 467928 | 1.9249          | {'f1': 0.8839344262295081} | {'accuracy': 0.8302972195589645} |
| 0.0021        | 1747.0 | 468196 | 1.9469          | {'f1': 0.8829300196206671} | {'accuracy': 0.8283796740172579} |
| 0.0021        | 1748.0 | 468464 | 1.9667          | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0021        | 1749.0 | 468732 | 1.9682          | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.002         | 1750.0 | 469000 | 1.9667          | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.002         | 1751.0 | 469268 | 1.9721          | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.002         | 1752.0 | 469536 | 2.0361          | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.002         | 1753.0 | 469804 | 2.0442          | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0021        | 1754.0 | 470072 | 2.0030          | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0021        | 1755.0 | 470340 | 2.0167          | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.0017        | 1756.0 | 470608 | 1.9693          | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0017        | 1757.0 | 470876 | 1.9739          | {'f1': 0.8828125}          | {'accuracy': 0.8274209012464045} |
| 0.0023        | 1758.0 | 471144 | 1.9872          | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.0023        | 1759.0 | 471412 | 2.0183          | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.0019        | 1760.0 | 471680 | 2.0030          | {'f1': 0.880103694102398}  | {'accuracy': 0.822627037392138}  |
| 0.0019        | 1761.0 | 471948 | 2.0636          | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0021        | 1762.0 | 472216 | 2.1016          | {'f1': 0.8798972382787411} | {'accuracy': 0.8207094918504314} |
| 0.0021        | 1763.0 | 472484 | 2.0775          | {'f1': 0.8782051282051283} | {'accuracy': 0.8178331735378715} |
| 0.0039        | 1764.0 | 472752 | 1.9883          | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698}  |
| 0.002         | 1765.0 | 473020 | 1.9639          | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698}  |
| 0.002         | 1766.0 | 473288 | 1.9799          | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0019        | 1767.0 | 473556 | 1.9869          | {'f1': 0.8832684824902725} | {'accuracy': 0.8274209012464045} |
| 0.0019        | 1768.0 | 473824 | 1.9858          | {'f1': 0.8832684824902725} | {'accuracy': 0.8274209012464045} |
| 0.0018        | 1769.0 | 474092 | 1.9433          | {'f1': 0.8813559322033898} | {'accuracy': 0.825503355704698}  |
| 0.0018        | 1770.0 | 474360 | 1.9063          | {'f1': 0.8801571709233792} | {'accuracy': 0.8245445829338447} |
| 0.0028        | 1771.0 | 474628 | 1.8973          | {'f1': 0.8798424162836507} | {'accuracy': 0.8245445829338447} |
| 0.0028        | 1772.0 | 474896 | 1.9561          | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.0016        | 1773.0 | 475164 | 1.9640          | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.0016        | 1774.0 | 475432 | 1.9974          | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138}  |
| 0.003         | 1775.0 | 475700 | 1.9990          | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138}  |
| 0.003         | 1776.0 | 475968 | 2.0040          | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0018        | 1777.0 | 476236 | 2.0336          | {'f1': 0.8812903225806452} | {'accuracy': 0.8235858101629914} |
| 0.0029        | 1778.0 | 476504 | 1.9857          | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.0029        | 1779.0 | 476772 | 1.9554          | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0024        | 1780.0 | 477040 | 1.9510          | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0024        | 1781.0 | 477308 | 1.9656          | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0019        | 1782.0 | 477576 | 1.9907          | {'f1': 0.881399870382372}  | {'accuracy': 0.8245445829338447} |
| 0.0019        | 1783.0 | 477844 | 1.9425          | {'f1': 0.881664499349805}  | {'accuracy': 0.825503355704698}  |
| 0.0022        | 1784.0 | 478112 | 1.9485          | {'f1': 0.881664499349805}  | {'accuracy': 0.825503355704698}  |
| 0.0022        | 1785.0 | 478380 | 2.0082          | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0025        | 1786.0 | 478648 | 2.0048          | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0025        | 1787.0 | 478916 | 2.0057          | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0017        | 1788.0 | 479184 | 2.0108          | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0017        | 1789.0 | 479452 | 1.9722          | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0023        | 1790.0 | 479720 | 1.9860          | {'f1': 0.8786502271252432} | {'accuracy': 0.8207094918504314} |
| 0.0023        | 1791.0 | 479988 | 1.9450          | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0021        | 1792.0 | 480256 | 1.9234          | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.0024        | 1793.0 | 480524 | 1.9885          | {'f1': 0.8793774319066148} | {'accuracy': 0.8216682646212847} |
| 0.0024        | 1794.0 | 480792 | 2.0187          | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0026        | 1795.0 | 481060 | 2.0167          | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0026        | 1796.0 | 481328 | 1.9477          | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0033        | 1797.0 | 481596 | 2.0234          | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138}  |
| 0.0033        | 1798.0 | 481864 | 2.0099          | {'f1': 0.880103694102398}  | {'accuracy': 0.822627037392138}  |
| 0.0019        | 1799.0 | 482132 | 2.0136          | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0019        | 1800.0 | 482400 | 2.0099          | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0022        | 1801.0 | 482668 | 2.0416          | {'f1': 0.8812903225806452} | {'accuracy': 0.8235858101629914} |
| 0.0022        | 1802.0 | 482936 | 2.0418          | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138}  |
| 0.0018        | 1803.0 | 483204 | 2.0092          | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138}  |
| 0.0018        | 1804.0 | 483472 | 1.9999          | {'f1': 0.880674448767834}  | {'accuracy': 0.8235858101629914} |
| 0.0034        | 1805.0 | 483740 | 1.9820          | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138}  |
| 0.0027        | 1806.0 | 484008 | 2.0102          | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138}  |
| 0.0027        | 1807.0 | 484276 | 2.0109          | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138}  |
| 0.0017        | 1808.0 | 484544 | 1.9808          | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.0017        | 1809.0 | 484812 | 1.9795          | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.0023        | 1810.0 | 485080 | 2.0041          | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138}  |
| 0.0023        | 1811.0 | 485348 | 2.0001          | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138}  |
| 0.0019        | 1812.0 | 485616 | 1.9729          | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.0019        | 1813.0 | 485884 | 1.9759          | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.0019        | 1814.0 | 486152 | 1.9839          | {'f1': 0.880674448767834}  | {'accuracy': 0.8235858101629914} |
| 0.0019        | 1815.0 | 486420 | 2.0039          | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138}  |
| 0.002         | 1816.0 | 486688 | 2.0100          | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138}  |
| 0.002         | 1817.0 | 486956 | 2.0070          | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0022        | 1818.0 | 487224 | 1.9989          | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0022        | 1819.0 | 487492 | 1.9896          | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698}  |
| 0.0032        | 1820.0 | 487760 | 1.9890          | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698}  |
| 0.0021        | 1821.0 | 488028 | 2.0286          | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0021        | 1822.0 | 488296 | 2.0204          | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0019        | 1823.0 | 488564 | 2.0185          | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0019        | 1824.0 | 488832 | 2.0001          | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0018        | 1825.0 | 489100 | 2.0339          | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138}  |
| 0.0018        | 1826.0 | 489368 | 2.0006          | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698}  |
| 0.0025        | 1827.0 | 489636 | 1.9745          | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0025        | 1828.0 | 489904 | 1.9466          | {'f1': 0.8828125}          | {'accuracy': 0.8274209012464045} |
| 0.0021        | 1829.0 | 490172 | 1.9704          | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0021        | 1830.0 | 490440 | 2.0084          | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0028        | 1831.0 | 490708 | 2.0101          | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0028        | 1832.0 | 490976 | 1.9966          | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0021        | 1833.0 | 491244 | 2.0031          | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0019        | 1834.0 | 491512 | 2.0001          | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698}  |
| 0.0019        | 1835.0 | 491780 | 1.9772          | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.0045        | 1836.0 | 492048 | 1.9755          | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0045        | 1837.0 | 492316 | 1.9708          | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0019        | 1838.0 | 492584 | 2.0081          | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0019        | 1839.0 | 492852 | 1.9689          | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0034        | 1840.0 | 493120 | 1.9561          | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0034        | 1841.0 | 493388 | 1.9518          | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698}  |
| 0.0023        | 1842.0 | 493656 | 1.9374          | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0023        | 1843.0 | 493924 | 1.9212          | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.0021        | 1844.0 | 494192 | 1.8915          | {'f1': 0.8810457516339869} | {'accuracy': 0.825503355704698}  |
| 0.0021        | 1845.0 | 494460 | 1.9087          | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.0023        | 1846.0 | 494728 | 1.9609          | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698}  |
| 0.0023        | 1847.0 | 494996 | 1.9564          | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698}  |
| 0.0018        | 1848.0 | 495264 | 1.9577          | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698}  |
| 0.0019        | 1849.0 | 495532 | 1.9810          | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0019        | 1850.0 | 495800 | 1.9798          | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0019        | 1851.0 | 496068 | 2.0046          | {'f1': 0.881859264041317}  | {'accuracy': 0.8245445829338447} |
| 0.0019        | 1852.0 | 496336 | 2.0246          | {'f1': 0.8808757244043787} | {'accuracy': 0.822627037392138}  |
| 0.0023        | 1853.0 | 496604 | 2.0208          | {'f1': 0.8801546391752577} | {'accuracy': 0.8216682646212847} |
| 0.0023        | 1854.0 | 496872 | 1.9879          | {'f1': 0.8812903225806452} | {'accuracy': 0.8235858101629914} |
| 0.0022        | 1855.0 | 497140 | 1.9906          | {'f1': 0.8812903225806452} | {'accuracy': 0.8235858101629914} |
| 0.0022        | 1856.0 | 497408 | 1.9907          | {'f1': 0.8812903225806452} | {'accuracy': 0.8235858101629914} |
| 0.0026        | 1857.0 | 497676 | 1.8986          | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0026        | 1858.0 | 497944 | 1.8949          | {'f1': 0.881664499349805}  | {'accuracy': 0.825503355704698}  |
| 0.0025        | 1859.0 | 498212 | 1.9550          | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0025        | 1860.0 | 498480 | 1.9552          | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0025        | 1861.0 | 498748 | 1.9491          | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0033        | 1862.0 | 499016 | 1.9582          | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0033        | 1863.0 | 499284 | 1.9605          | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0021        | 1864.0 | 499552 | 1.9457          | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0021        | 1865.0 | 499820 | 1.9365          | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698}  |
| 0.0019        | 1866.0 | 500088 | 1.9337          | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698}  |
| 0.0019        | 1867.0 | 500356 | 1.9337          | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698}  |
| 0.0019        | 1868.0 | 500624 | 1.9327          | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.0019        | 1869.0 | 500892 | 1.9365          | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698}  |
| 0.0016        | 1870.0 | 501160 | 1.9517          | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0016        | 1871.0 | 501428 | 1.9568          | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698}  |
| 0.0025        | 1872.0 | 501696 | 1.9511          | {'f1': 0.881399870382372}  | {'accuracy': 0.8245445829338447} |
| 0.0025        | 1873.0 | 501964 | 1.9066          | {'f1': 0.881664499349805}  | {'accuracy': 0.825503355704698}  |
| 0.0023        | 1874.0 | 502232 | 1.9056          | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0019        | 1875.0 | 502500 | 1.9389          | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698}  |
| 0.0019        | 1876.0 | 502768 | 1.9354          | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.002         | 1877.0 | 503036 | 1.9257          | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698}  |
| 0.002         | 1878.0 | 503304 | 1.9272          | {'f1': 0.8810916179337233} | {'accuracy': 0.8245445829338447} |
| 0.0018        | 1879.0 | 503572 | 1.9285          | {'f1': 0.8810916179337233} | {'accuracy': 0.8245445829338447} |
| 0.0018        | 1880.0 | 503840 | 1.9573          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.0034        | 1881.0 | 504108 | 1.9556          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.0034        | 1882.0 | 504376 | 1.9502          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.0019        | 1883.0 | 504644 | 1.9365          | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0019        | 1884.0 | 504912 | 1.9341          | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698}  |
| 0.0017        | 1885.0 | 505180 | 1.9545          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.0017        | 1886.0 | 505448 | 1.9482          | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.0021        | 1887.0 | 505716 | 1.9516          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.0021        | 1888.0 | 505984 | 1.9438          | {'f1': 0.8832684824902725} | {'accuracy': 0.8274209012464045} |
| 0.002         | 1889.0 | 506252 | 1.9651          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.0035        | 1890.0 | 506520 | 1.9918          | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0035        | 1891.0 | 506788 | 1.9925          | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0019        | 1892.0 | 507056 | 1.9481          | {'f1': 0.8845654993514916} | {'accuracy': 0.8293384467881112} |
| 0.0019        | 1893.0 | 507324 | 1.9592          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.002         | 1894.0 | 507592 | 1.9791          | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.002         | 1895.0 | 507860 | 1.9818          | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0021        | 1896.0 | 508128 | 1.9757          | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0021        | 1897.0 | 508396 | 1.9552          | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.0023        | 1898.0 | 508664 | 1.9737          | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0023        | 1899.0 | 508932 | 1.9732          | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.002         | 1900.0 | 509200 | 1.9746          | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.002         | 1901.0 | 509468 | 2.0016          | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698}  |
| 0.0024        | 1902.0 | 509736 | 1.9770          | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0022        | 1903.0 | 510004 | 1.9833          | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0022        | 1904.0 | 510272 | 1.9662          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.0017        | 1905.0 | 510540 | 1.9616          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.0017        | 1906.0 | 510808 | 1.9634          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.002         | 1907.0 | 511076 | 1.9640          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.002         | 1908.0 | 511344 | 1.9662          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.0021        | 1909.0 | 511612 | 1.9679          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.0021        | 1910.0 | 511880 | 1.9680          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.002         | 1911.0 | 512148 | 1.9690          | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.002         | 1912.0 | 512416 | 1.9777          | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0036        | 1913.0 | 512684 | 1.9775          | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0036        | 1914.0 | 512952 | 1.9347          | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.0029        | 1915.0 | 513220 | 1.9436          | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.0029        | 1916.0 | 513488 | 1.9618          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0019        | 1917.0 | 513756 | 1.9630          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0021        | 1918.0 | 514024 | 1.9933          | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698}  |
| 0.0021        | 1919.0 | 514292 | 1.9824          | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0017        | 1920.0 | 514560 | 1.9656          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0017        | 1921.0 | 514828 | 1.9802          | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0041        | 1922.0 | 515096 | 1.9709          | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0041        | 1923.0 | 515364 | 1.9563          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0021        | 1924.0 | 515632 | 1.9556          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0021        | 1925.0 | 515900 | 1.9548          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0017        | 1926.0 | 516168 | 1.9527          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0017        | 1927.0 | 516436 | 1.9575          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0021        | 1928.0 | 516704 | 1.9439          | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.0021        | 1929.0 | 516972 | 1.9415          | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.0021        | 1930.0 | 517240 | 1.9401          | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.0018        | 1931.0 | 517508 | 1.9406          | {'f1': 0.8845654993514916} | {'accuracy': 0.8293384467881112} |
| 0.0018        | 1932.0 | 517776 | 1.9508          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.0021        | 1933.0 | 518044 | 1.9535          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.0021        | 1934.0 | 518312 | 1.9495          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.0018        | 1935.0 | 518580 | 1.9455          | {'f1': 0.883419689119171}  | {'accuracy': 0.8274209012464045} |
| 0.0018        | 1936.0 | 518848 | 1.9666          | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0019        | 1937.0 | 519116 | 1.9686          | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0019        | 1938.0 | 519384 | 1.9693          | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0021        | 1939.0 | 519652 | 1.9632          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0021        | 1940.0 | 519920 | 1.9633          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0018        | 1941.0 | 520188 | 1.9692          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0018        | 1942.0 | 520456 | 1.9751          | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.002         | 1943.0 | 520724 | 1.9768          | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698}  |
| 0.002         | 1944.0 | 520992 | 1.9763          | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698}  |
| 0.0021        | 1945.0 | 521260 | 1.9726          | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0022        | 1946.0 | 521528 | 1.9834          | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698}  |
| 0.0022        | 1947.0 | 521796 | 1.9917          | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698}  |
| 0.0019        | 1948.0 | 522064 | 1.9913          | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698}  |
| 0.0019        | 1949.0 | 522332 | 1.9781          | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698}  |
| 0.0022        | 1950.0 | 522600 | 1.9762          | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698}  |
| 0.0022        | 1951.0 | 522868 | 1.9805          | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698}  |
| 0.0023        | 1952.0 | 523136 | 1.9652          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0023        | 1953.0 | 523404 | 1.9650          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0019        | 1954.0 | 523672 | 1.9649          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0019        | 1955.0 | 523940 | 1.9730          | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0034        | 1956.0 | 524208 | 1.9505          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0034        | 1957.0 | 524476 | 1.9502          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0029        | 1958.0 | 524744 | 1.9452          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0033        | 1959.0 | 525012 | 1.9537          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0033        | 1960.0 | 525280 | 1.9551          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.003         | 1961.0 | 525548 | 1.9494          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.003         | 1962.0 | 525816 | 1.9406          | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698}  |
| 0.0026        | 1963.0 | 526084 | 1.9416          | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698}  |
| 0.0026        | 1964.0 | 526352 | 1.9425          | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698}  |
| 0.002         | 1965.0 | 526620 | 1.9504          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.002         | 1966.0 | 526888 | 1.9520          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0024        | 1967.0 | 527156 | 1.9529          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0024        | 1968.0 | 527424 | 1.9532          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0019        | 1969.0 | 527692 | 1.9529          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0019        | 1970.0 | 527960 | 1.9538          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0018        | 1971.0 | 528228 | 1.9578          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0018        | 1972.0 | 528496 | 1.9586          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0022        | 1973.0 | 528764 | 1.9620          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.002         | 1974.0 | 529032 | 1.9624          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.002         | 1975.0 | 529300 | 1.9620          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0019        | 1976.0 | 529568 | 1.9629          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0019        | 1977.0 | 529836 | 1.9637          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.002         | 1978.0 | 530104 | 1.9626          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.002         | 1979.0 | 530372 | 1.9617          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0018        | 1980.0 | 530640 | 1.9620          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0018        | 1981.0 | 530908 | 1.9636          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0021        | 1982.0 | 531176 | 1.9631          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0021        | 1983.0 | 531444 | 1.9630          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0021        | 1984.0 | 531712 | 1.9624          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0021        | 1985.0 | 531980 | 1.9632          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0019        | 1986.0 | 532248 | 1.9575          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.003         | 1987.0 | 532516 | 1.9568          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.003         | 1988.0 | 532784 | 1.9564          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0027        | 1989.0 | 533052 | 1.9600          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0027        | 1990.0 | 533320 | 1.9598          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0024        | 1991.0 | 533588 | 1.9588          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0024        | 1992.0 | 533856 | 1.9593          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0018        | 1993.0 | 534124 | 1.9598          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0018        | 1994.0 | 534392 | 1.9600          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0018        | 1995.0 | 534660 | 1.9601          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0018        | 1996.0 | 534928 | 1.9600          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0021        | 1997.0 | 535196 | 1.9603          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0021        | 1998.0 | 535464 | 1.9603          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.002         | 1999.0 | 535732 | 1.9610          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0025        | 2000.0 | 536000 | 1.9610          | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |


### Framework versions

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