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_6414
  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_6414

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: 2.8822
- F1: {'f1': 0.8419047619047619}
- Accuracy: {'accuracy': 0.7612655800575263}

## 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: 0.001
- 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    | 401    | 0.4622          | {'f1': 0.8679245283018867} | {'accuracy': 0.8053691275167785} |
| 0.5261        | 2.0    | 802    | 0.6716          | {'f1': 0.8583638583638584} | {'accuracy': 0.7775647171620326} |
| 0.4169        | 3.0    | 1203   | 0.4545          | {'f1': 0.867704280155642}  | {'accuracy': 0.8044103547459253} |
| 0.3381        | 4.0    | 1604   | 0.6054          | {'f1': 0.8622448979591838} | {'accuracy': 0.7929050814956855} |
| 0.2779        | 5.0    | 2005   | 0.5791          | {'f1': 0.8750800768737989} | {'accuracy': 0.8130393096836049} |
| 0.2779        | 6.0    | 2406   | 0.5359          | {'f1': 0.8666224286662243} | {'accuracy': 0.8072866730584851} |
| 0.2441        | 7.0    | 2807   | 0.5783          | {'f1': 0.8735332464146025} | {'accuracy': 0.8139980824544583} |
| 0.2351        | 8.0    | 3208   | 0.6860          | {'f1': 0.8714938030006523} | {'accuracy': 0.8111217641418984} |
| 0.2116        | 9.0    | 3609   | 0.9049          | {'f1': 0.8699029126213591} | {'accuracy': 0.8072866730584851} |
| 0.2129        | 10.0   | 4010   | 0.5766          | {'f1': 0.8738379814077026} | {'accuracy': 0.8178331735378715} |
| 0.2129        | 11.0   | 4411   | 0.6212          | {'f1': 0.8671611598111936} | {'accuracy': 0.8111217641418984} |
| 0.1962        | 12.0   | 4812   | 0.7943          | {'f1': 0.8671611598111936} | {'accuracy': 0.8111217641418984} |
| 0.1835        | 13.0   | 5213   | 0.8482          | {'f1': 0.8654738237243207} | {'accuracy': 0.8053691275167785} |
| 0.1835        | 14.0   | 5614   | 0.7664          | {'f1': 0.8681541582150102} | {'accuracy': 0.8130393096836049} |
| 0.1894        | 15.0   | 6015   | 0.7840          | {'f1': 0.8658294778585592} | {'accuracy': 0.8053691275167785} |
| 0.1894        | 16.0   | 6416   | 0.8821          | {'f1': 0.8687782805429866} | {'accuracy': 0.8053691275167785} |
| 0.1727        | 17.0   | 6817   | 0.8588          | {'f1': 0.8632707774798927} | {'accuracy': 0.8044103547459253} |
| 0.1775        | 18.0   | 7218   | 0.8268          | {'f1': 0.8617780661907853} | {'accuracy': 0.7957813998082455} |
| 0.1937        | 19.0   | 7619   | 0.7014          | {'f1': 0.8602150537634408} | {'accuracy': 0.788111217641419}  |
| 0.1958        | 20.0   | 8020   | 0.7585          | {'f1': 0.8725817211474317} | {'accuracy': 0.8168744007670182} |
| 0.1958        | 21.0   | 8421   | 0.6327          | {'f1': 0.8702594810379242} | {'accuracy': 0.8130393096836049} |
| 0.172         | 22.0   | 8822   | 0.8079          | {'f1': 0.8548707753479126} | {'accuracy': 0.7900287631831256} |
| 0.2006        | 23.0   | 9223   | 0.7497          | {'f1': 0.8645763842561709} | {'accuracy': 0.8053691275167785} |
| 0.1773        | 24.0   | 9624   | 0.7609          | {'f1': 0.8571428571428571} | {'accuracy': 0.7986577181208053} |
| 0.1883        | 25.0   | 10025  | 1.0834          | {'f1': 0.8593648736228128} | {'accuracy': 0.7919463087248322} |
| 0.1883        | 26.0   | 10426  | 0.8705          | {'f1': 0.8605108055009822} | {'accuracy': 0.7957813998082455} |
| 0.1686        | 27.0   | 10827  | 0.8955          | {'f1': 0.8634361233480176} | {'accuracy': 0.7919463087248322} |
| 0.1995        | 28.0   | 11228  | 0.8582          | {'f1': 0.8551099611901681} | {'accuracy': 0.785234899328859}  |
| 0.181         | 29.0   | 11629  | 1.1259          | {'f1': 0.8628181253879579} | {'accuracy': 0.788111217641419}  |
| 0.1932        | 30.0   | 12030  | 0.6984          | {'f1': 0.854557207498384}  | {'accuracy': 0.7842761265580057} |
| 0.1932        | 31.0   | 12431  | 0.7305          | {'f1': 0.853720050441362}  | {'accuracy': 0.7775647171620326} |
| 0.1804        | 32.0   | 12832  | 0.9029          | {'f1': 0.8625904010519396} | {'accuracy': 0.7996164908916586} |
| 0.1857        | 33.0   | 13233  | 0.6825          | {'f1': 0.8607095926412615} | {'accuracy': 0.7967401725790988} |
| 0.1876        | 34.0   | 13634  | 1.1422          | {'f1': 0.8458093410108765} | {'accuracy': 0.7689357622243528} |
| 0.1993        | 35.0   | 14035  | 1.0844          | {'f1': 0.8604353393085787} | {'accuracy': 0.7909875359539789} |
| 0.1993        | 36.0   | 14436  | 1.0598          | {'f1': 0.8594628357276703} | {'accuracy': 0.7842761265580057} |
| 0.1824        | 37.0   | 14837  | 1.1073          | {'f1': 0.8542199488491049} | {'accuracy': 0.7813998082454459} |
| 0.2035        | 38.0   | 15238  | 0.7600          | {'f1': 0.847682119205298}  | {'accuracy': 0.7794822627037392} |
| 0.2207        | 39.0   | 15639  | 1.0546          | {'f1': 0.8526448362720404} | {'accuracy': 0.775647171620326}  |
| 0.194         | 40.0   | 16040  | 0.7376          | {'f1': 0.8556566970091029} | {'accuracy': 0.7871524448705657} |
| 0.194         | 41.0   | 16441  | 0.7798          | {'f1': 0.8506616257088847} | {'accuracy': 0.7727708533077661} |
| 0.2084        | 42.0   | 16842  | 1.0507          | {'f1': 0.8624766645924082} | {'accuracy': 0.788111217641419}  |
| 0.199         | 43.0   | 17243  | 0.8728          | {'f1': 0.8580562659846547} | {'accuracy': 0.7871524448705657} |
| 0.2206        | 44.0   | 17644  | 0.8449          | {'f1': 0.8459459459459461} | {'accuracy': 0.7813998082454459} |
| 0.2132        | 45.0   | 18045  | 1.3335          | {'f1': 0.8542713567839196} | {'accuracy': 0.7775647171620326} |
| 0.2132        | 46.0   | 18446  | 0.9174          | {'f1': 0.851948051948052}  | {'accuracy': 0.7813998082454459} |
| 0.204         | 47.0   | 18847  | 1.0006          | {'f1': 0.860759493670886}  | {'accuracy': 0.7890699904122723} |
| 0.1993        | 48.0   | 19248  | 0.7934          | {'f1': 0.8537859007832899} | {'accuracy': 0.785234899328859}  |
| 0.2143        | 49.0   | 19649  | 0.7783          | {'f1': 0.8593448940269749} | {'accuracy': 0.7900287631831256} |
| 0.2064        | 50.0   | 20050  | 0.8042          | {'f1': 0.8664921465968587} | {'accuracy': 0.8044103547459253} |
| 0.2064        | 51.0   | 20451  | 0.7491          | {'f1': 0.8571428571428572} | {'accuracy': 0.7957813998082455} |
| 0.1977        | 52.0   | 20852  | 1.0062          | {'f1': 0.8575233022636485} | {'accuracy': 0.7948226270373921} |
| 0.2037        | 53.0   | 21253  | 0.8462          | {'f1': 0.8582474226804124} | {'accuracy': 0.7890699904122723} |
| 0.2071        | 54.0   | 21654  | 0.8331          | {'f1': 0.8509277031349968} | {'accuracy': 0.7766059443911792} |
| 0.219         | 55.0   | 22055  | 0.8352          | {'f1': 0.8665377176015473} | {'accuracy': 0.8015340364333653} |
| 0.219         | 56.0   | 22456  | 0.9794          | {'f1': 0.86125}            | {'accuracy': 0.7871524448705657} |
| 0.2125        | 57.0   | 22857  | 0.7315          | {'f1': 0.8484848484848484} | {'accuracy': 0.7842761265580057} |
| 0.2224        | 58.0   | 23258  | 0.7517          | {'f1': 0.867515923566879}  | {'accuracy': 0.800575263662512}  |
| 0.2075        | 59.0   | 23659  | 1.2492          | {'f1': 0.8500000000000001} | {'accuracy': 0.7698945349952061} |
| 0.2287        | 60.0   | 24060  | 1.1285          | {'f1': 0.8625712476250793} | {'accuracy': 0.7919463087248322} |
| 0.2287        | 61.0   | 24461  | 0.7967          | {'f1': 0.8399246704331449} | {'accuracy': 0.7555129434324065} |
| 0.2504        | 62.0   | 24862  | 1.0076          | {'f1': 0.8527724665391969} | {'accuracy': 0.7785234899328859} |
| 0.2346        | 63.0   | 25263  | 0.9732          | {'f1': 0.8556767158434896} | {'accuracy': 0.7842761265580057} |
| 0.222         | 64.0   | 25664  | 0.7520          | {'f1': 0.8497683653209795} | {'accuracy': 0.7823585810162992} |
| 0.2529        | 65.0   | 26065  | 1.2199          | {'f1': 0.8456632653061223} | {'accuracy': 0.7679769894534996} |
| 0.2529        | 66.0   | 26466  | 1.1044          | {'f1': 0.8518057285180574} | {'accuracy': 0.7718120805369127} |
| 0.26          | 67.0   | 26867  | 0.7342          | {'f1': 0.8541666666666667} | {'accuracy': 0.785234899328859}  |
| 0.2466        | 68.0   | 27268  | 0.9639          | {'f1': 0.8505747126436781} | {'accuracy': 0.775647171620326}  |
| 0.24          | 69.0   | 27669  | 0.7428          | {'f1': 0.8540471637985979} | {'accuracy': 0.7804410354745925} |
| 0.2603        | 70.0   | 28070  | 0.9065          | {'f1': 0.8604060913705585} | {'accuracy': 0.7890699904122723} |
| 0.2603        | 71.0   | 28471  | 0.8574          | {'f1': 0.8504245591116917} | {'accuracy': 0.7804410354745925} |
| 0.2474        | 72.0   | 28872  | 1.2110          | {'f1': 0.8435374149659863} | {'accuracy': 0.7574304889741131} |
| 0.2254        | 73.0   | 29273  | 0.9312          | {'f1': 0.8541666666666667} | {'accuracy': 0.785234899328859}  |
| 0.2258        | 74.0   | 29674  | 0.9632          | {'f1': 0.851948051948052}  | {'accuracy': 0.7813998082454459} |
| 0.2348        | 75.0   | 30075  | 0.6455          | {'f1': 0.8479087452471483} | {'accuracy': 0.7698945349952061} |
| 0.2348        | 76.0   | 30476  | 0.9974          | {'f1': 0.8511716276124128} | {'accuracy': 0.7746883988494727} |
| 0.253         | 77.0   | 30877  | 0.8229          | {'f1': 0.8527724665391969} | {'accuracy': 0.7785234899328859} |
| 0.243         | 78.0   | 31278  | 0.9802          | {'f1': 0.8573289902280131} | {'accuracy': 0.7900287631831256} |
| 0.2332        | 79.0   | 31679  | 1.0583          | {'f1': 0.8533333333333334} | {'accuracy': 0.7785234899328859} |
| 0.2211        | 80.0   | 32080  | 1.1156          | {'f1': 0.8593350383631713} | {'accuracy': 0.7890699904122723} |
| 0.2211        | 81.0   | 32481  | 0.9829          | {'f1': 0.8490797546012271} | {'accuracy': 0.7641418983700863} |
| 0.2471        | 82.0   | 32882  | 0.8408          | {'f1': 0.8552544613350958} | {'accuracy': 0.7900287631831256} |
| 0.254         | 83.0   | 33283  | 1.0823          | {'f1': 0.8546144121365361} | {'accuracy': 0.7794822627037392} |
| 0.2498        | 84.0   | 33684  | 0.8740          | {'f1': 0.845016077170418}  | {'accuracy': 0.7689357622243528} |
| 0.2323        | 85.0   | 34085  | 0.8546          | {'f1': 0.8515625}          | {'accuracy': 0.7813998082454459} |
| 0.2323        | 86.0   | 34486  | 0.7212          | {'f1': 0.8515625}          | {'accuracy': 0.7813998082454459} |
| 0.2548        | 87.0   | 34887  | 0.9051          | {'f1': 0.8495114006514658} | {'accuracy': 0.7785234899328859} |
| 0.2156        | 88.0   | 35288  | 0.9236          | {'f1': 0.8573240329740014} | {'accuracy': 0.7842761265580057} |
| 0.222         | 89.0   | 35689  | 0.9488          | {'f1': 0.8476070528967254} | {'accuracy': 0.7679769894534996} |
| 0.2183        | 90.0   | 36090  | 0.8323          | {'f1': 0.8571428571428572} | {'accuracy': 0.7890699904122723} |
| 0.2183        | 91.0   | 36491  | 1.1698          | {'f1': 0.8528111181301328} | {'accuracy': 0.7766059443911792} |
| 0.2205        | 92.0   | 36892  | 1.1913          | {'f1': 0.8537704918032787} | {'accuracy': 0.7861936720997124} |
| 0.2118        | 93.0   | 37293  | 0.8978          | {'f1': 0.8582474226804124} | {'accuracy': 0.7890699904122723} |
| 0.2244        | 94.0   | 37694  | 1.0964          | {'f1': 0.858085808580858}  | {'accuracy': 0.7938638542665388} |
| 0.2218        | 95.0   | 38095  | 1.1327          | {'f1': 0.8526249209361164} | {'accuracy': 0.7766059443911792} |
| 0.2218        | 96.0   | 38496  | 0.9631          | {'f1': 0.8591916558018253} | {'accuracy': 0.7929050814956855} |
| 0.2136        | 97.0   | 38897  | 0.6943          | {'f1': 0.8549121665582303} | {'accuracy': 0.7861936720997124} |
| 0.2239        | 98.0   | 39298  | 0.9435          | {'f1': 0.8569612205975843} | {'accuracy': 0.7842761265580057} |
| 0.2284        | 99.0   | 39699  | 0.8765          | {'f1': 0.8536741214057507} | {'accuracy': 0.7804410354745925} |
| 0.218         | 100.0  | 40100  | 0.8308          | {'f1': 0.8500635324015249} | {'accuracy': 0.7737296260786194} |
| 0.2207        | 101.0  | 40501  | 0.9594          | {'f1': 0.8487928843710293} | {'accuracy': 0.7718120805369127} |
| 0.2207        | 102.0  | 40902  | 1.1232          | {'f1': 0.8540609137055837} | {'accuracy': 0.7794822627037392} |
| 0.2076        | 103.0  | 41303  | 0.8938          | {'f1': 0.8584126984126984} | {'accuracy': 0.7861936720997124} |
| 0.2227        | 104.0  | 41704  | 0.8467          | {'f1': 0.8517799352750809} | {'accuracy': 0.7804410354745925} |
| 0.2224        | 105.0  | 42105  | 0.9232          | {'f1': 0.85625}            | {'accuracy': 0.7794822627037392} |
| 0.231         | 106.0  | 42506  | 1.0057          | {'f1': 0.8508430609597926} | {'accuracy': 0.7794822627037392} |
| 0.231         | 107.0  | 42907  | 1.0549          | {'f1': 0.8530331457160726} | {'accuracy': 0.7746883988494727} |
| 0.2105        | 108.0  | 43308  | 0.9325          | {'f1': 0.8384565075212557} | {'accuracy': 0.763183125599233}  |
| 0.2057        | 109.0  | 43709  | 0.8719          | {'f1': 0.8524804177545692} | {'accuracy': 0.7833173537871524} |
| 0.2112        | 110.0  | 44110  | 0.7338          | {'f1': 0.8599629858112278} | {'accuracy': 0.7823585810162992} |
| 0.2135        | 111.0  | 44511  | 1.0116          | {'f1': 0.8461043142305216} | {'accuracy': 0.7708533077660594} |
| 0.2135        | 112.0  | 44912  | 1.1867          | {'f1': 0.8512820512820513} | {'accuracy': 0.7775647171620326} |
| 0.2138        | 113.0  | 45313  | 1.0152          | {'f1': 0.8443076923076923} | {'accuracy': 0.7574304889741131} |
| 0.224         | 114.0  | 45714  | 1.1405          | {'f1': 0.8582183186951067} | {'accuracy': 0.7833173537871524} |
| 0.2233        | 115.0  | 46115  | 0.9341          | {'f1': 0.8435643564356435} | {'accuracy': 0.7727708533077661} |
| 0.2293        | 116.0  | 46516  | 0.8792          | {'f1': 0.8416043507817811} | {'accuracy': 0.7766059443911792} |
| 0.2293        | 117.0  | 46917  | 0.8610          | {'f1': 0.8524590163934426} | {'accuracy': 0.7842761265580057} |
| 0.224         | 118.0  | 47318  | 0.8714          | {'f1': 0.8558616271620756} | {'accuracy': 0.7842761265580057} |
| 0.2272        | 119.0  | 47719  | 1.1527          | {'f1': 0.8505889646621204} | {'accuracy': 0.7689357622243528} |
| 0.2314        | 120.0  | 48120  | 1.0835          | {'f1': 0.8464996788696211} | {'accuracy': 0.7708533077660594} |
| 0.2338        | 121.0  | 48521  | 0.9367          | {'f1': 0.8555276381909548} | {'accuracy': 0.7794822627037392} |
| 0.2338        | 122.0  | 48922  | 1.1894          | {'f1': 0.8514605344934743} | {'accuracy': 0.7708533077660594} |
| 0.2393        | 123.0  | 49323  | 0.8476          | {'f1': 0.846641318124208}  | {'accuracy': 0.7679769894534996} |
| 0.2407        | 124.0  | 49724  | 0.8062          | {'f1': 0.8580362726704189} | {'accuracy': 0.7823585810162992} |
| 0.2326        | 125.0  | 50125  | 1.1019          | {'f1': 0.8500948766603417} | {'accuracy': 0.7727708533077661} |
| 0.2246        | 126.0  | 50526  | 0.9574          | {'f1': 0.8392857142857142} | {'accuracy': 0.7583892617449665} |
| 0.2246        | 127.0  | 50927  | 1.1958          | {'f1': 0.8376623376623377} | {'accuracy': 0.7603068072866731} |
| 0.2242        | 128.0  | 51328  | 1.0979          | {'f1': 0.861323155216285}  | {'accuracy': 0.7909875359539789} |
| 0.2241        | 129.0  | 51729  | 0.9278          | {'f1': 0.843308675184936}  | {'accuracy': 0.7766059443911792} |
| 0.2273        | 130.0  | 52130  | 0.7695          | {'f1': 0.8393220338983051} | {'accuracy': 0.7727708533077661} |
| 0.252         | 131.0  | 52531  | 0.8065          | {'f1': 0.8439763001974985} | {'accuracy': 0.7727708533077661} |
| 0.252         | 132.0  | 52932  | 0.8740          | {'f1': 0.856036152356359}  | {'accuracy': 0.7861936720997124} |
| 0.2495        | 133.0  | 53333  | 0.8970          | {'f1': 0.8464566929133859} | {'accuracy': 0.775647171620326}  |
| 0.2293        | 134.0  | 53734  | 0.8769          | {'f1': 0.8389993585631816} | {'accuracy': 0.7593480345158198} |
| 0.2417        | 135.0  | 54135  | 1.1989          | {'f1': 0.8433583959899749} | {'accuracy': 0.7603068072866731} |
| 0.2469        | 136.0  | 54536  | 0.8690          | {'f1': 0.8526048284625158} | {'accuracy': 0.7775647171620326} |
| 0.2469        | 137.0  | 54937  | 0.7737          | {'f1': 0.8617157490396927} | {'accuracy': 0.7929050814956855} |
| 0.2476        | 138.0  | 55338  | 1.2153          | {'f1': 0.8573224387177876} | {'accuracy': 0.7823585810162992} |
| 0.241         | 139.0  | 55739  | 0.9695          | {'f1': 0.8405985686402083} | {'accuracy': 0.7651006711409396} |
| 0.2545        | 140.0  | 56140  | 0.8597          | {'f1': 0.8496732026143791} | {'accuracy': 0.7794822627037392} |
| 0.2486        | 141.0  | 56541  | 0.6954          | {'f1': 0.8421052631578948} | {'accuracy': 0.7670182166826462} |
| 0.2486        | 142.0  | 56942  | 0.9841          | {'f1': 0.8334413480233311} | {'accuracy': 0.7535953978907}    |
| 0.2684        | 143.0  | 57343  | 0.9315          | {'f1': 0.8392973324658425} | {'accuracy': 0.763183125599233}  |
| 0.2441        | 144.0  | 57744  | 0.8837          | {'f1': 0.8367071524966261} | {'accuracy': 0.7679769894534996} |
| 0.2703        | 145.0  | 58145  | 1.2015          | {'f1': 0.8350964530180461} | {'accuracy': 0.7459252157238735} |
| 0.2724        | 146.0  | 58546  | 0.8231          | {'f1': 0.8308681672025723} | {'accuracy': 0.74784276126558}   |
| 0.2724        | 147.0  | 58947  | 0.9058          | {'f1': 0.8387096774193549} | {'accuracy': 0.7651006711409396} |
| 0.2731        | 148.0  | 59348  | 0.9337          | {'f1': 0.8399738732854344} | {'accuracy': 0.7651006711409396} |
| 0.2642        | 149.0  | 59749  | 0.8101          | {'f1': 0.8459099556119215} | {'accuracy': 0.7670182166826462} |
| 0.253         | 150.0  | 60150  | 0.9742          | {'f1': 0.8531289910600256} | {'accuracy': 0.7794822627037392} |
| 0.2622        | 151.0  | 60551  | 0.8488          | {'f1': 0.8401337792642141} | {'accuracy': 0.7708533077660594} |
| 0.2622        | 152.0  | 60952  | 0.9315          | {'f1': 0.8388324873096447} | {'accuracy': 0.7564717162032598} |
| 0.2693        | 153.0  | 61353  | 1.1424          | {'f1': 0.8496568933250156} | {'accuracy': 0.7689357622243528} |
| 0.2534        | 154.0  | 61754  | 0.8121          | {'f1': 0.8368522072936659} | {'accuracy': 0.7555129434324065} |
| 0.2631        | 155.0  | 62155  | 0.9177          | {'f1': 0.8525226390685641} | {'accuracy': 0.7813998082454459} |
| 0.2426        | 156.0  | 62556  | 0.7225          | {'f1': 0.8294314381270903} | {'accuracy': 0.7555129434324065} |
| 0.2426        | 157.0  | 62957  | 0.8243          | {'f1': 0.8371467025572005} | {'accuracy': 0.7679769894534996} |
| 0.2612        | 158.0  | 63358  | 0.8831          | {'f1': 0.8461051298290057} | {'accuracy': 0.7670182166826462} |
| 0.3068        | 159.0  | 63759  | 0.8223          | {'f1': 0.8467895740623013} | {'accuracy': 0.7689357622243528} |
| 0.2927        | 160.0  | 64160  | 0.9283          | {'f1': 0.8423676012461059} | {'accuracy': 0.7574304889741131} |
| 0.3048        | 161.0  | 64561  | 0.7040          | {'f1': 0.8467432950191572} | {'accuracy': 0.7698945349952061} |
| 0.3048        | 162.0  | 64962  | 0.7779          | {'f1': 0.8475000000000001} | {'accuracy': 0.7660594439117929} |
| 0.3325        | 163.0  | 65363  | 0.7545          | {'f1': 0.842443729903537}  | {'accuracy': 0.7651006711409396} |
| 0.2965        | 164.0  | 65764  | 0.8682          | {'f1': 0.8403669724770643} | {'accuracy': 0.7497603068072867} |
| 0.2816        | 165.0  | 66165  | 0.7588          | {'f1': 0.8444730077120822} | {'accuracy': 0.7679769894534996} |
| 0.2714        | 166.0  | 66566  | 0.8986          | {'f1': 0.8435286542176433} | {'accuracy': 0.7670182166826462} |
| 0.2714        | 167.0  | 66967  | 1.0528          | {'f1': 0.8489954633830202} | {'accuracy': 0.7766059443911792} |
| 0.2734        | 168.0  | 67368  | 0.6952          | {'f1': 0.847145488029466}  | {'accuracy': 0.7612655800575263} |
| 0.2675        | 169.0  | 67769  | 0.7618          | {'f1': 0.840446487196323}  | {'accuracy': 0.7670182166826462} |
| 0.2624        | 170.0  | 68170  | 0.8019          | {'f1': 0.8111498257839721} | {'accuracy': 0.7401725790987536} |
| 0.2584        | 171.0  | 68571  | 0.7608          | {'f1': 0.8491182233834096} | {'accuracy': 0.7785234899328859} |
| 0.2584        | 172.0  | 68972  | 0.8383          | {'f1': 0.842170929507174}  | {'accuracy': 0.7574304889741131} |
| 0.247         | 173.0  | 69373  | 1.0304          | {'f1': 0.8349875930521091} | {'accuracy': 0.7449664429530202} |
| 0.2526        | 174.0  | 69774  | 0.8387          | {'f1': 0.8345047923322685} | {'accuracy': 0.7516778523489933} |
| 0.2594        | 175.0  | 70175  | 0.9768          | {'f1': 0.8459099556119215} | {'accuracy': 0.7670182166826462} |
| 0.2577        | 176.0  | 70576  | 0.8975          | {'f1': 0.8460063897763579} | {'accuracy': 0.7689357622243528} |
| 0.2577        | 177.0  | 70977  | 1.3535          | {'f1': 0.8468137254901961} | {'accuracy': 0.7603068072866731} |
| 0.2608        | 178.0  | 71378  | 0.7394          | {'f1': 0.8421741977734118} | {'accuracy': 0.7689357622243528} |
| 0.2601        | 179.0  | 71779  | 0.7100          | {'f1': 0.8496143958868896} | {'accuracy': 0.775647171620326}  |
| 0.2412        | 180.0  | 72180  | 0.8524          | {'f1': 0.849455477258168}  | {'accuracy': 0.7746883988494727} |
| 0.2419        | 181.0  | 72581  | 0.8062          | {'f1': 0.8442466624284806} | {'accuracy': 0.7651006711409396} |
| 0.2419        | 182.0  | 72982  | 0.8182          | {'f1': 0.84107259646828}   | {'accuracy': 0.7670182166826462} |
| 0.244         | 183.0  | 73383  | 0.9105          | {'f1': 0.8449131513647642} | {'accuracy': 0.7603068072866731} |
| 0.2406        | 184.0  | 73784  | 0.7759          | {'f1': 0.8493506493506494} | {'accuracy': 0.7775647171620326} |
| 0.2444        | 185.0  | 74185  | 0.8565          | {'f1': 0.851851851851852}  | {'accuracy': 0.785234899328859}  |
| 0.2502        | 186.0  | 74586  | 1.1047          | {'f1': 0.8413524057217165} | {'accuracy': 0.7660594439117929} |
| 0.2502        | 187.0  | 74987  | 0.8517          | {'f1': 0.8537048765041165} | {'accuracy': 0.7785234899328859} |
| 0.241         | 188.0  | 75388  | 0.9265          | {'f1': 0.8398384925975775} | {'accuracy': 0.7718120805369127} |
| 0.2404        | 189.0  | 75789  | 0.9368          | {'f1': 0.8371501272264632} | {'accuracy': 0.7545541706615532} |
| 0.2312        | 190.0  | 76190  | 1.0300          | {'f1': 0.8369152970922884} | {'accuracy': 0.7526366251198466} |
| 0.2576        | 191.0  | 76591  | 0.9079          | {'f1': 0.8512020792722548} | {'accuracy': 0.7804410354745925} |
| 0.2576        | 192.0  | 76992  | 0.7314          | {'f1': 0.8293625241468126} | {'accuracy': 0.7459252157238735} |
| 0.2548        | 193.0  | 77393  | 0.7204          | {'f1': 0.8445006321112516} | {'accuracy': 0.7641418983700863} |
| 0.2624        | 194.0  | 77794  | 0.7678          | {'f1': 0.8419672131147541} | {'accuracy': 0.7689357622243528} |
| 0.2659        | 195.0  | 78195  | 0.7470          | {'f1': 0.8321964529331515} | {'accuracy': 0.7641418983700863} |
| 0.2788        | 196.0  | 78596  | 0.7394          | {'f1': 0.833116036505867}  | {'accuracy': 0.7545541706615532} |
| 0.2788        | 197.0  | 78997  | 0.7013          | {'f1': 0.8402734617775015} | {'accuracy': 0.7535953978907}    |
| 0.3023        | 198.0  | 79398  | 1.0282          | {'f1': 0.8312020460358057} | {'accuracy': 0.7468839884947267} |
| 0.2688        | 199.0  | 79799  | 0.8870          | {'f1': 0.8389993585631816} | {'accuracy': 0.7593480345158198} |
| 0.2694        | 200.0  | 80200  | 0.6708          | {'f1': 0.8389175257731959} | {'accuracy': 0.7603068072866731} |
| 0.2574        | 201.0  | 80601  | 1.0941          | {'f1': 0.8393077873918418} | {'accuracy': 0.75071907957814}   |
| 0.2627        | 202.0  | 81002  | 1.0750          | {'f1': 0.8441717791411043} | {'accuracy': 0.7564717162032598} |
| 0.2627        | 203.0  | 81403  | 1.0689          | {'f1': 0.831758034026465}  | {'accuracy': 0.7440076701821668} |
| 0.2412        | 204.0  | 81804  | 0.8979          | {'f1': 0.8392156862745098} | {'accuracy': 0.7641418983700863} |
| 0.2464        | 205.0  | 82205  | 0.9785          | {'f1': 0.8467336683417086} | {'accuracy': 0.7660594439117929} |
| 0.2597        | 206.0  | 82606  | 0.8800          | {'f1': 0.8396166134185302} | {'accuracy': 0.7593480345158198} |
| 0.2701        | 207.0  | 83007  | 0.8640          | {'f1': 0.8251001335113486} | {'accuracy': 0.7488015340364333} |
| 0.2701        | 208.0  | 83408  | 0.7954          | {'f1': 0.8254180602006689} | {'accuracy': 0.7497603068072867} |
| 0.254         | 209.0  | 83809  | 1.1185          | {'f1': 0.8298397040690506} | {'accuracy': 0.7353787152444871} |
| 0.2464        | 210.0  | 84210  | 0.8531          | {'f1': 0.8393846153846154} | {'accuracy': 0.7497603068072867} |
| 0.2811        | 211.0  | 84611  | 1.0518          | {'f1': 0.8452454940957116} | {'accuracy': 0.7612655800575263} |
| 0.2514        | 212.0  | 85012  | 1.1130          | {'f1': 0.8340584213797391} | {'accuracy': 0.7440076701821668} |
| 0.2514        | 213.0  | 85413  | 0.8402          | {'f1': 0.8343949044585988} | {'accuracy': 0.75071907957814}   |
| 0.2498        | 214.0  | 85814  | 1.0275          | {'f1': 0.8463444857496902} | {'accuracy': 0.7622243528283796} |
| 0.2758        | 215.0  | 86215  | 0.8038          | {'f1': 0.8451776649746193} | {'accuracy': 0.7660594439117929} |
| 0.2578        | 216.0  | 86616  | 0.8187          | {'f1': 0.8377544725478101} | {'accuracy': 0.74784276126558}   |
| 0.2761        | 217.0  | 87017  | 0.8593          | {'f1': 0.845141065830721}  | {'accuracy': 0.763183125599233}  |
| 0.2761        | 218.0  | 87418  | 0.9440          | {'f1': 0.8472306755934268} | {'accuracy': 0.7593480345158198} |
| 0.2785        | 219.0  | 87819  | 0.9716          | {'f1': 0.8504034761018001} | {'accuracy': 0.7689357622243528} |
| 0.3378        | 220.0  | 88220  | 0.6511          | {'f1': 0.8293010752688171} | {'accuracy': 0.7564717162032598} |
| 0.2826        | 221.0  | 88621  | 0.9528          | {'f1': 0.842170929507174}  | {'accuracy': 0.7574304889741131} |
| 0.275         | 222.0  | 89022  | 1.2531          | {'f1': 0.8377219840783834} | {'accuracy': 0.7459252157238735} |
| 0.275         | 223.0  | 89423  | 0.6287          | {'f1': 0.8302631578947368} | {'accuracy': 0.7526366251198466} |
| 0.2788        | 224.0  | 89824  | 1.0870          | {'f1': 0.837092731829574}  | {'accuracy': 0.75071907957814}   |
| 0.2673        | 225.0  | 90225  | 0.8192          | {'f1': 0.8374193548387098} | {'accuracy': 0.7583892617449665} |
| 0.2886        | 226.0  | 90626  | 0.7370          | {'f1': 0.839425587467363}  | {'accuracy': 0.7641418983700863} |
| 0.2658        | 227.0  | 91027  | 0.7898          | {'f1': 0.8066581306017925} | {'accuracy': 0.710450623202301}  |
| 0.2658        | 228.0  | 91428  | 0.8841          | {'f1': 0.8449266113592852} | {'accuracy': 0.7670182166826462} |
| 0.2724        | 229.0  | 91829  | 0.9590          | {'f1': 0.8110289172831203} | {'accuracy': 0.7305848513902206} |
| 0.2877        | 230.0  | 92230  | 0.8778          | {'f1': 0.8371187540558079} | {'accuracy': 0.7593480345158198} |
| 0.2797        | 231.0  | 92631  | 0.9298          | {'f1': 0.8345959595959596} | {'accuracy': 0.7488015340364333} |
| 0.27          | 232.0  | 93032  | 1.0359          | {'f1': 0.8330134357005758} | {'accuracy': 0.7497603068072867} |
| 0.27          | 233.0  | 93433  | 0.9096          | {'f1': 0.8311195445920303} | {'accuracy': 0.7440076701821668} |
| 0.2514        | 234.0  | 93834  | 0.8881          | {'f1': 0.8148648648648648} | {'accuracy': 0.7372962607861937} |
| 0.2464        | 235.0  | 94235  | 0.8304          | {'f1': 0.8345047923322685} | {'accuracy': 0.7516778523489933} |
| 0.2608        | 236.0  | 94636  | 0.9228          | {'f1': 0.8363866077068857} | {'accuracy': 0.7516778523489933} |
| 0.2469        | 237.0  | 95037  | 0.9945          | {'f1': 0.8368146214099217} | {'accuracy': 0.7603068072866731} |
| 0.2469        | 238.0  | 95438  | 0.9208          | {'f1': 0.8232931726907631} | {'accuracy': 0.7468839884947267} |
| 0.258         | 239.0  | 95839  | 1.0260          | {'f1': 0.832618025751073}  | {'accuracy': 0.738255033557047}  |
| 0.2324        | 240.0  | 96240  | 0.9553          | {'f1': 0.8457772337821298} | {'accuracy': 0.7583892617449665} |
| 0.2348        | 241.0  | 96641  | 0.9753          | {'f1': 0.8419737663960025} | {'accuracy': 0.7574304889741131} |
| 0.2497        | 242.0  | 97042  | 1.0690          | {'f1': 0.8434466019417476} | {'accuracy': 0.7526366251198466} |
| 0.2497        | 243.0  | 97443  | 0.9550          | {'f1': 0.8337662337662339} | {'accuracy': 0.7545541706615532} |
| 0.2227        | 244.0  | 97844  | 1.0226          | {'f1': 0.8515228426395941} | {'accuracy': 0.775647171620326}  |
| 0.2344        | 245.0  | 98245  | 0.9309          | {'f1': 0.8406735751295337} | {'accuracy': 0.7641418983700863} |
| 0.2312        | 246.0  | 98646  | 0.8419          | {'f1': 0.8423076923076922} | {'accuracy': 0.7641418983700863} |
| 0.2404        | 247.0  | 99047  | 1.1175          | {'f1': 0.8329145728643216} | {'accuracy': 0.7449664429530202} |
| 0.2404        | 248.0  | 99448  | 1.1481          | {'f1': 0.8327953518398966} | {'accuracy': 0.7516778523489933} |
| 0.2479        | 249.0  | 99849  | 1.2474          | {'f1': 0.8459139114160948} | {'accuracy': 0.763183125599233}  |
| 0.2303        | 250.0  | 100250 | 1.0059          | {'f1': 0.835705045278137}  | {'accuracy': 0.7564717162032598} |
| 0.2392        | 251.0  | 100651 | 1.3045          | {'f1': 0.8360128617363345} | {'accuracy': 0.7555129434324065} |
| 0.2246        | 252.0  | 101052 | 0.8578          | {'f1': 0.8485981308411216} | {'accuracy': 0.7670182166826462} |
| 0.2246        | 253.0  | 101453 | 0.9903          | {'f1': 0.8208556149732621} | {'accuracy': 0.7430488974113135} |
| 0.2387        | 254.0  | 101854 | 0.9149          | {'f1': 0.8418367346938777} | {'accuracy': 0.7622243528283796} |
| 0.2354        | 255.0  | 102255 | 0.9433          | {'f1': 0.8424396442185516} | {'accuracy': 0.7622243528283796} |
| 0.2512        | 256.0  | 102656 | 1.1076          | {'f1': 0.8420373952288847} | {'accuracy': 0.7651006711409396} |
| 0.2497        | 257.0  | 103057 | 0.9372          | {'f1': 0.8376175548589342} | {'accuracy': 0.7516778523489933} |
| 0.2497        | 258.0  | 103458 | 0.9338          | {'f1': 0.8350923482849605} | {'accuracy': 0.7603068072866731} |
| 0.2555        | 259.0  | 103859 | 1.1021          | {'f1': 0.8398268398268398} | {'accuracy': 0.7516778523489933} |
| 0.2341        | 260.0  | 104260 | 1.0147          | {'f1': 0.8373570520965693} | {'accuracy': 0.7545541706615532} |
| 0.2441        | 261.0  | 104661 | 0.9195          | {'f1': 0.8244680851063829} | {'accuracy': 0.7468839884947267} |
| 0.2358        | 262.0  | 105062 | 0.9904          | {'f1': 0.8396284829721363} | {'accuracy': 0.7516778523489933} |
| 0.2358        | 263.0  | 105463 | 1.0565          | {'f1': 0.8389937106918239} | {'accuracy': 0.7545541706615532} |
| 0.2401        | 264.0  | 105864 | 1.0503          | {'f1': 0.8363636363636364} | {'accuracy': 0.7497603068072867} |
| 0.2439        | 265.0  | 106265 | 1.2779          | {'f1': 0.8363417569193742} | {'accuracy': 0.7392138063279002} |
| 0.2504        | 266.0  | 106666 | 0.9715          | {'f1': 0.8399487836107554} | {'accuracy': 0.7603068072866731} |
| 0.2687        | 267.0  | 107067 | 1.0750          | {'f1': 0.8330109606705353} | {'accuracy': 0.7516778523489933} |
| 0.2687        | 268.0  | 107468 | 0.9981          | {'f1': 0.8444165621079048} | {'accuracy': 0.7622243528283796} |
| 0.2218        | 269.0  | 107869 | 0.9821          | {'f1': 0.8318356867779204} | {'accuracy': 0.7488015340364333} |
| 0.2215        | 270.0  | 108270 | 0.9113          | {'f1': 0.8360655737704918} | {'accuracy': 0.75071907957814}   |
| 0.2275        | 271.0  | 108671 | 1.2055          | {'f1': 0.8302122347066168} | {'accuracy': 0.7392138063279002} |
| 0.2442        | 272.0  | 109072 | 1.2157          | {'f1': 0.8380716934487022} | {'accuracy': 0.7488015340364333} |
| 0.2442        | 273.0  | 109473 | 1.0310          | {'f1': 0.8321633694958519} | {'accuracy': 0.74784276126558}   |
| 0.2375        | 274.0  | 109874 | 0.9068          | {'f1': 0.842964824120603}  | {'accuracy': 0.7603068072866731} |
| 0.2474        | 275.0  | 110275 | 0.7434          | {'f1': 0.838709677419355}  | {'accuracy': 0.7603068072866731} |
| 0.2445        | 276.0  | 110676 | 0.9356          | {'f1': 0.8242894056847546} | {'accuracy': 0.7392138063279002} |
| 0.2401        | 277.0  | 111077 | 1.3207          | {'f1': 0.8337595907928389} | {'accuracy': 0.75071907957814}   |
| 0.2401        | 278.0  | 111478 | 1.0330          | {'f1': 0.8378033205619413} | {'accuracy': 0.7564717162032598} |
| 0.2342        | 279.0  | 111879 | 1.3449          | {'f1': 0.835538752362949}  | {'accuracy': 0.7497603068072867} |
| 0.2257        | 280.0  | 112280 | 1.0314          | {'f1': 0.8315182575272262} | {'accuracy': 0.74784276126558}   |
| 0.2313        | 281.0  | 112681 | 0.9193          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.254         | 282.0  | 113082 | 1.1292          | {'f1': 0.8357457520453115} | {'accuracy': 0.7497603068072867} |
| 0.254         | 283.0  | 113483 | 0.7148          | {'f1': 0.8354430379746837} | {'accuracy': 0.75071907957814}   |
| 0.2537        | 284.0  | 113884 | 0.9808          | {'f1': 0.8301647655259823} | {'accuracy': 0.7430488974113135} |
| 0.2428        | 285.0  | 114285 | 1.0571          | {'f1': 0.8220617202889035} | {'accuracy': 0.7401725790987536} |
| 0.2411        | 286.0  | 114686 | 0.8902          | {'f1': 0.8305519897304235} | {'accuracy': 0.7468839884947267} |
| 0.2523        | 287.0  | 115087 | 1.1189          | {'f1': 0.8409232688708672} | {'accuracy': 0.7555129434324065} |
| 0.2523        | 288.0  | 115488 | 1.2165          | {'f1': 0.8418461538461539} | {'accuracy': 0.7535953978907}    |
| 0.2357        | 289.0  | 115889 | 0.7972          | {'f1': 0.8271363339856491} | {'accuracy': 0.7459252157238735} |
| 0.2294        | 290.0  | 116290 | 0.9963          | {'f1': 0.827992151733159}  | {'accuracy': 0.74784276126558}   |
| 0.2339        | 291.0  | 116691 | 1.0150          | {'f1': 0.8330182734719597} | {'accuracy': 0.7459252157238735} |
| 0.2316        | 292.0  | 117092 | 0.9740          | {'f1': 0.823529411764706}  | {'accuracy': 0.7468839884947267} |
| 0.2316        | 293.0  | 117493 | 1.0322          | {'f1': 0.8364576599870717} | {'accuracy': 0.7574304889741131} |
| 0.2186        | 294.0  | 117894 | 0.9056          | {'f1': 0.8275426405559065} | {'accuracy': 0.738255033557047}  |
| 0.2274        | 295.0  | 118295 | 0.8818          | {'f1': 0.8313021167415009} | {'accuracy': 0.74784276126558}   |
| 0.2345        | 296.0  | 118696 | 0.8546          | {'f1': 0.8343004513217279} | {'accuracy': 0.7535953978907}    |
| 0.2227        | 297.0  | 119097 | 1.1910          | {'f1': 0.8336448598130841} | {'accuracy': 0.7440076701821668} |
| 0.2227        | 298.0  | 119498 | 0.9483          | {'f1': 0.8156498673740052} | {'accuracy': 0.7334611697027804} |
| 0.2254        | 299.0  | 119899 | 0.9499          | {'f1': 0.8184818481848184} | {'accuracy': 0.7363374880153404} |
| 0.2141        | 300.0  | 120300 | 1.1834          | {'f1': 0.8259212198221093} | {'accuracy': 0.7372962607861937} |
| 0.2313        | 301.0  | 120701 | 0.9448          | {'f1': 0.8298429319371727} | {'accuracy': 0.75071907957814}   |
| 0.2225        | 302.0  | 121102 | 1.1666          | {'f1': 0.8348567946374162} | {'accuracy': 0.7401725790987536} |
| 0.2237        | 303.0  | 121503 | 1.1141          | {'f1': 0.8283485045513654} | {'accuracy': 0.7468839884947267} |
| 0.2237        | 304.0  | 121904 | 1.1684          | {'f1': 0.8266494178525227} | {'accuracy': 0.7430488974113135} |
| 0.2319        | 305.0  | 122305 | 1.1197          | {'f1': 0.8365444375388441} | {'accuracy': 0.74784276126558}   |
| 0.2433        | 306.0  | 122706 | 1.0639          | {'f1': 0.8236057068741893} | {'accuracy': 0.7392138063279002} |
| 0.2333        | 307.0  | 123107 | 1.3037          | {'f1': 0.8397515527950311} | {'accuracy': 0.7526366251198466} |
| 0.2224        | 308.0  | 123508 | 0.9334          | {'f1': 0.82687338501292}   | {'accuracy': 0.7430488974113135} |
| 0.2224        | 309.0  | 123909 | 0.9312          | {'f1': 0.8376175548589342} | {'accuracy': 0.7516778523489933} |
| 0.2267        | 310.0  | 124310 | 0.9007          | {'f1': 0.7927677329624477} | {'accuracy': 0.7142857142857143} |
| 0.2365        | 311.0  | 124711 | 1.2573          | {'f1': 0.8195876288659794} | {'accuracy': 0.7315436241610739} |
| 0.2316        | 312.0  | 125112 | 1.1209          | {'f1': 0.8307888040712469} | {'accuracy': 0.7449664429530202} |
| 0.2179        | 313.0  | 125513 | 0.9868          | {'f1': 0.8294573643410853} | {'accuracy': 0.7468839884947267} |
| 0.2179        | 314.0  | 125914 | 1.0275          | {'f1': 0.8238308776425368} | {'accuracy': 0.7363374880153404} |
| 0.2099        | 315.0  | 126315 | 1.0713          | {'f1': 0.8279365079365079} | {'accuracy': 0.7401725790987536} |
| 0.207         | 316.0  | 126716 | 1.1297          | {'f1': 0.8121292023731048} | {'accuracy': 0.7267497603068073} |
| 0.2092        | 317.0  | 127117 | 0.9408          | {'f1': 0.835}              | {'accuracy': 0.7468839884947267} |
| 0.2151        | 318.0  | 127518 | 1.0883          | {'f1': 0.8301132578281146} | {'accuracy': 0.7555129434324065} |
| 0.2151        | 319.0  | 127919 | 0.9970          | {'f1': 0.8235294117647058} | {'accuracy': 0.7411313518696069} |
| 0.2026        | 320.0  | 128320 | 0.8693          | {'f1': 0.8369704749679076} | {'accuracy': 0.7564717162032598} |
| 0.2044        | 321.0  | 128721 | 1.0232          | {'f1': 0.8358778625954199} | {'accuracy': 0.7526366251198466} |
| 0.2075        | 322.0  | 129122 | 0.8083          | {'f1': 0.8386243386243386} | {'accuracy': 0.7660594439117929} |
| 0.2136        | 323.0  | 129523 | 1.1406          | {'f1': 0.8349146110056926} | {'accuracy': 0.7497603068072867} |
| 0.2136        | 324.0  | 129924 | 1.2443          | {'f1': 0.8303797468354431} | {'accuracy': 0.7430488974113135} |
| 0.1961        | 325.0  | 130325 | 1.2221          | {'f1': 0.8407079646017699} | {'accuracy': 0.7583892617449665} |
| 0.2052        | 326.0  | 130726 | 1.0717          | {'f1': 0.8259740259740261} | {'accuracy': 0.7430488974113135} |
| 0.2017        | 327.0  | 131127 | 0.9398          | {'f1': 0.8214765100671142} | {'accuracy': 0.7449664429530202} |
| 0.2036        | 328.0  | 131528 | 1.3544          | {'f1': 0.8248222365869425} | {'accuracy': 0.7401725790987536} |
| 0.2036        | 329.0  | 131929 | 1.1249          | {'f1': 0.8271363339856491} | {'accuracy': 0.7459252157238735} |
| 0.2252        | 330.0  | 132330 | 1.3486          | {'f1': 0.8298807281858129} | {'accuracy': 0.7401725790987536} |
| 0.2093        | 331.0  | 132731 | 1.4552          | {'f1': 0.8211382113821138} | {'accuracy': 0.7468839884947267} |
| 0.2083        | 332.0  | 133132 | 1.0837          | {'f1': 0.8284409654272668} | {'accuracy': 0.74784276126558}   |
| 0.1992        | 333.0  | 133533 | 0.9452          | {'f1': 0.8397997496871088} | {'accuracy': 0.7545541706615532} |
| 0.1992        | 334.0  | 133934 | 1.1837          | {'f1': 0.8085963734049697} | {'accuracy': 0.7267497603068073} |
| 0.2169        | 335.0  | 134335 | 1.2463          | {'f1': 0.8295739348370926} | {'accuracy': 0.7392138063279002} |
| 0.1966        | 336.0  | 134736 | 1.0243          | {'f1': 0.835705045278137}  | {'accuracy': 0.7564717162032598} |
| 0.2071        | 337.0  | 135137 | 1.2048          | {'f1': 0.8298429319371727} | {'accuracy': 0.75071907957814}   |
| 0.2042        | 338.0  | 135538 | 1.2703          | {'f1': 0.8311855670103093} | {'accuracy': 0.7488015340364333} |
| 0.2042        | 339.0  | 135939 | 1.1096          | {'f1': 0.8341836734693877} | {'accuracy': 0.75071907957814}   |
| 0.2059        | 340.0  | 136340 | 1.0543          | {'f1': 0.833117723156533}  | {'accuracy': 0.7526366251198466} |
| 0.2034        | 341.0  | 136741 | 1.1578          | {'f1': 0.8375959079283888} | {'accuracy': 0.7564717162032598} |
| 0.2025        | 342.0  | 137142 | 1.0056          | {'f1': 0.8135593220338982} | {'accuracy': 0.725790987535954}  |
| 0.2003        | 343.0  | 137543 | 1.3358          | {'f1': 0.8265971316818774} | {'accuracy': 0.7449664429530202} |
| 0.2003        | 344.0  | 137944 | 1.2170          | {'f1': 0.8268229166666667} | {'accuracy': 0.7449664429530202} |
| 0.1811        | 345.0  | 138345 | 1.3290          | {'f1': 0.8368253968253969} | {'accuracy': 0.7535953978907}    |
| 0.191         | 346.0  | 138746 | 1.2520          | {'f1': 0.829329962073325}  | {'accuracy': 0.7411313518696069} |
| 0.1783        | 347.0  | 139147 | 1.2309          | {'f1': 0.8251295336787564} | {'accuracy': 0.7411313518696069} |
| 0.1945        | 348.0  | 139548 | 1.0044          | {'f1': 0.8232984293193718} | {'accuracy': 0.7411313518696069} |
| 0.1945        | 349.0  | 139949 | 1.1220          | {'f1': 0.83322601416613}   | {'accuracy': 0.7516778523489933} |
| 0.1985        | 350.0  | 140350 | 1.0662          | {'f1': 0.8415841584158416} | {'accuracy': 0.7545541706615532} |
| 0.1885        | 351.0  | 140751 | 1.1191          | {'f1': 0.8292367399741268} | {'accuracy': 0.7468839884947267} |
| 0.1727        | 352.0  | 141152 | 1.2839          | {'f1': 0.8282828282828283} | {'accuracy': 0.7392138063279002} |
| 0.201         | 353.0  | 141553 | 1.1559          | {'f1': 0.8340694006309148} | {'accuracy': 0.74784276126558}   |
| 0.201         | 354.0  | 141954 | 1.1170          | {'f1': 0.8152610441767068} | {'accuracy': 0.7353787152444871} |
| 0.1783        | 355.0  | 142355 | 1.1743          | {'f1': 0.8351231838281743} | {'accuracy': 0.7497603068072867} |
| 0.1693        | 356.0  | 142756 | 1.2632          | {'f1': 0.8366834170854272} | {'accuracy': 0.75071907957814}   |
| 0.1711        | 357.0  | 143157 | 1.2431          | {'f1': 0.8336520076481836} | {'accuracy': 0.7497603068072867} |
| 0.1856        | 358.0  | 143558 | 1.3269          | {'f1': 0.843297671491504}  | {'accuracy': 0.7612655800575263} |
| 0.1856        | 359.0  | 143959 | 0.9130          | {'f1': 0.8364576599870717} | {'accuracy': 0.7574304889741131} |
| 0.1935        | 360.0  | 144360 | 0.9534          | {'f1': 0.8312863606981254} | {'accuracy': 0.7497603068072867} |
| 0.1906        | 361.0  | 144761 | 1.2703          | {'f1': 0.8309239472030169} | {'accuracy': 0.7420901246404602} |
| 0.1961        | 362.0  | 145162 | 1.2400          | {'f1': 0.8308681672025723} | {'accuracy': 0.74784276126558}   |
| 0.2044        | 363.0  | 145563 | 1.1197          | {'f1': 0.8339670468948036} | {'accuracy': 0.7488015340364333} |
| 0.2044        | 364.0  | 145964 | 1.3656          | {'f1': 0.8251928020565554} | {'accuracy': 0.7392138063279002} |
| 0.1756        | 365.0  | 146365 | 1.3752          | {'f1': 0.8331210191082803} | {'accuracy': 0.7488015340364333} |
| 0.1886        | 366.0  | 146766 | 1.4663          | {'f1': 0.8328115216030058} | {'accuracy': 0.7440076701821668} |
| 0.1946        | 367.0  | 147167 | 1.1576          | {'f1': 0.8366093366093366} | {'accuracy': 0.7449664429530202} |
| 0.2011        | 368.0  | 147568 | 1.1472          | {'f1': 0.8335419274092616} | {'accuracy': 0.7449664429530202} |
| 0.2011        | 369.0  | 147969 | 1.2084          | {'f1': 0.8226120857699806} | {'accuracy': 0.738255033557047}  |
| 0.1833        | 370.0  | 148370 | 1.1038          | {'f1': 0.829854522454143}  | {'accuracy': 0.7420901246404602} |
| 0.218         | 371.0  | 148771 | 1.2592          | {'f1': 0.8212005108556832} | {'accuracy': 0.7315436241610739} |
| 0.1981        | 372.0  | 149172 | 1.3553          | {'f1': 0.8197343453510437} | {'accuracy': 0.7267497603068073} |
| 0.1969        | 373.0  | 149573 | 1.1615          | {'f1': 0.835538752362949}  | {'accuracy': 0.7497603068072867} |
| 0.1969        | 374.0  | 149974 | 1.0217          | {'f1': 0.8296199213630406} | {'accuracy': 0.75071907957814}   |
| 0.1807        | 375.0  | 150375 | 1.1867          | {'f1': 0.8180610889774237} | {'accuracy': 0.7372962607861937} |
| 0.1835        | 376.0  | 150776 | 1.1629          | {'f1': 0.8165910563836681} | {'accuracy': 0.7286673058485139} |
| 0.1896        | 377.0  | 151177 | 0.9018          | {'f1': 0.8215444516547697} | {'accuracy': 0.7363374880153404} |
| 0.1884        | 378.0  | 151578 | 1.0185          | {'f1': 0.8315041962556489} | {'accuracy': 0.7497603068072867} |
| 0.1884        | 379.0  | 151979 | 1.2284          | {'f1': 0.8370370370370371} | {'accuracy': 0.7468839884947267} |
| 0.1919        | 380.0  | 152380 | 1.1363          | {'f1': 0.8344283837056505} | {'accuracy': 0.7583892617449665} |
| 0.1805        | 381.0  | 152781 | 1.2666          | {'f1': 0.8297455968688846} | {'accuracy': 0.7497603068072867} |
| 0.19          | 382.0  | 153182 | 1.2733          | {'f1': 0.8194805194805195} | {'accuracy': 0.7334611697027804} |
| 0.1835        | 383.0  | 153583 | 1.1949          | {'f1': 0.8329297820823245} | {'accuracy': 0.7353787152444871} |
| 0.1835        | 384.0  | 153984 | 1.2358          | {'f1': 0.8266494178525227} | {'accuracy': 0.7430488974113135} |
| 0.196         | 385.0  | 154385 | 1.2785          | {'f1': 0.8270676691729323} | {'accuracy': 0.7353787152444871} |
| 0.1751        | 386.0  | 154786 | 1.2285          | {'f1': 0.8298807281858129} | {'accuracy': 0.7401725790987536} |
| 0.1852        | 387.0  | 155187 | 1.3074          | {'f1': 0.823529411764706}  | {'accuracy': 0.7353787152444871} |
| 0.1737        | 388.0  | 155588 | 1.2941          | {'f1': 0.8375314861460957} | {'accuracy': 0.7526366251198466} |
| 0.1737        | 389.0  | 155989 | 1.4487          | {'f1': 0.8275862068965517} | {'accuracy': 0.7363374880153404} |
| 0.1706        | 390.0  | 156390 | 1.5272          | {'f1': 0.8241335044929398} | {'accuracy': 0.7372962607861937} |
| 0.1642        | 391.0  | 156791 | 1.0372          | {'f1': 0.8261142498430635} | {'accuracy': 0.7344199424736337} |
| 0.189         | 392.0  | 157192 | 1.4099          | {'f1': 0.824583866837388}  | {'accuracy': 0.7372962607861937} |
| 0.1741        | 393.0  | 157593 | 1.0995          | {'f1': 0.8329145728643216} | {'accuracy': 0.7449664429530202} |
| 0.1741        | 394.0  | 157994 | 1.5801          | {'f1': 0.8210659898477158} | {'accuracy': 0.7296260786193672} |
| 0.178         | 395.0  | 158395 | 1.0480          | {'f1': 0.8203124999999999} | {'accuracy': 0.7353787152444871} |
| 0.1876        | 396.0  | 158796 | 1.3443          | {'f1': 0.8333333333333333} | {'accuracy': 0.75071907957814}   |
| 0.1753        | 397.0  | 159197 | 1.0740          | {'f1': 0.8180628272251308} | {'accuracy': 0.7334611697027804} |
| 0.1989        | 398.0  | 159598 | 1.2337          | {'f1': 0.8177661659046374} | {'accuracy': 0.7325023969319271} |
| 0.1989        | 399.0  | 159999 | 1.3333          | {'f1': 0.821882951653944}  | {'accuracy': 0.7315436241610739} |
| 0.1849        | 400.0  | 160400 | 1.2865          | {'f1': 0.826284970722186}  | {'accuracy': 0.7440076701821668} |
| 0.1915        | 401.0  | 160801 | 1.5147          | {'f1': 0.8257575757575757} | {'accuracy': 0.7353787152444871} |
| 0.1867        | 402.0  | 161202 | 1.3562          | {'f1': 0.8216145833333334} | {'accuracy': 0.7372962607861937} |
| 0.1879        | 403.0  | 161603 | 1.3696          | {'f1': 0.832274459974587}  | {'accuracy': 0.7468839884947267} |
| 0.1876        | 404.0  | 162004 | 1.0819          | {'f1': 0.8287841191066997} | {'accuracy': 0.7353787152444871} |
| 0.1876        | 405.0  | 162405 | 1.1889          | {'f1': 0.8153034300791557} | {'accuracy': 0.7315436241610739} |
| 0.1828        | 406.0  | 162806 | 1.4822          | {'f1': 0.8288060644346177} | {'accuracy': 0.7401725790987536} |
| 0.1771        | 407.0  | 163207 | 1.2696          | {'f1': 0.8149117069980378} | {'accuracy': 0.7286673058485139} |
| 0.1892        | 408.0  | 163608 | 1.3728          | {'f1': 0.8314606741573034} | {'accuracy': 0.7411313518696069} |
| 0.1924        | 409.0  | 164009 | 1.4891          | {'f1': 0.8267170762444864} | {'accuracy': 0.7363374880153404} |
| 0.1924        | 410.0  | 164410 | 1.3497          | {'f1': 0.8254364089775562} | {'accuracy': 0.7315436241610739} |
| 0.2059        | 411.0  | 164811 | 1.3869          | {'f1': 0.8239033693579149} | {'accuracy': 0.7344199424736337} |
| 0.173         | 412.0  | 165212 | 1.1285          | {'f1': 0.8334373050530256} | {'accuracy': 0.7440076701821668} |
| 0.1898        | 413.0  | 165613 | 1.0594          | {'f1': 0.833756345177665}  | {'accuracy': 0.7488015340364333} |
| 0.1965        | 414.0  | 166014 | 1.1080          | {'f1': 0.8256041802743305} | {'accuracy': 0.7440076701821668} |
| 0.1965        | 415.0  | 166415 | 1.3118          | {'f1': 0.8264248704663213} | {'accuracy': 0.7430488974113135} |
| 0.18          | 416.0  | 166816 | 1.2283          | {'f1': 0.8291457286432161} | {'accuracy': 0.7392138063279002} |
| 0.1965        | 417.0  | 167217 | 1.0645          | {'f1': 0.8183581124757595} | {'accuracy': 0.7305848513902206} |
| 0.1728        | 418.0  | 167618 | 1.3259          | {'f1': 0.830694275274056}  | {'accuracy': 0.7334611697027804} |
| 0.1859        | 419.0  | 168019 | 1.1126          | {'f1': 0.8258064516129032} | {'accuracy': 0.7411313518696069} |
| 0.1859        | 420.0  | 168420 | 1.2823          | {'f1': 0.8230865746549562} | {'accuracy': 0.7296260786193672} |
| 0.1885        | 421.0  | 168821 | 1.1088          | {'f1': 0.8321451717433571} | {'accuracy': 0.7516778523489933} |
| 0.1831        | 422.0  | 169222 | 1.0043          | {'f1': 0.8343949044585988} | {'accuracy': 0.75071907957814}   |
| 0.1983        | 423.0  | 169623 | 0.9053          | {'f1': 0.8163001293661061} | {'accuracy': 0.7277085330776606} |
| 0.1996        | 424.0  | 170024 | 1.1843          | {'f1': 0.8305941845764855} | {'accuracy': 0.7430488974113135} |
| 0.1996        | 425.0  | 170425 | 1.0808          | {'f1': 0.8368883312421581} | {'accuracy': 0.75071907957814}   |
| 0.2092        | 426.0  | 170826 | 1.3682          | {'f1': 0.824583866837388}  | {'accuracy': 0.7372962607861937} |
| 0.1943        | 427.0  | 171227 | 1.2896          | {'f1': 0.8314465408805031} | {'accuracy': 0.7430488974113135} |
| 0.1936        | 428.0  | 171628 | 1.3162          | {'f1': 0.8317089018843405} | {'accuracy': 0.7516778523489933} |
| 0.2013        | 429.0  | 172029 | 1.0809          | {'f1': 0.8304862023653088} | {'accuracy': 0.7526366251198466} |
| 0.2013        | 430.0  | 172430 | 0.9750          | {'f1': 0.8024776324845148} | {'accuracy': 0.7248322147651006} |
| 0.202         | 431.0  | 172831 | 1.3711          | {'f1': 0.8320802005012532} | {'accuracy': 0.7430488974113135} |
| 0.1928        | 432.0  | 173232 | 1.2591          | {'f1': 0.8275426405559065} | {'accuracy': 0.738255033557047}  |
| 0.1867        | 433.0  | 173633 | 1.4241          | {'f1': 0.8288060644346177} | {'accuracy': 0.7401725790987536} |
| 0.1946        | 434.0  | 174034 | 1.1639          | {'f1': 0.8191834089436163} | {'accuracy': 0.7325023969319271} |
| 0.1946        | 435.0  | 174435 | 1.1985          | {'f1': 0.8255591054313098} | {'accuracy': 0.738255033557047}  |
| 0.1845        | 436.0  | 174836 | 1.1893          | {'f1': 0.8238341968911918} | {'accuracy': 0.7392138063279002} |
| 0.1735        | 437.0  | 175237 | 1.3274          | {'f1': 0.8332276474318325} | {'accuracy': 0.74784276126558}   |
| 0.1739        | 438.0  | 175638 | 1.2402          | {'f1': 0.8256410256410257} | {'accuracy': 0.7392138063279002} |
| 0.1709        | 439.0  | 176039 | 1.3347          | {'f1': 0.8194993412384717} | {'accuracy': 0.7372962607861937} |
| 0.1709        | 440.0  | 176440 | 1.3250          | {'f1': 0.827852998065764}  | {'accuracy': 0.7440076701821668} |
| 0.1722        | 441.0  | 176841 | 1.1848          | {'f1': 0.8245161290322582} | {'accuracy': 0.7392138063279002} |
| 0.1859        | 442.0  | 177242 | 1.2954          | {'f1': 0.8149580915538363} | {'accuracy': 0.7248322147651006} |
| 0.1824        | 443.0  | 177643 | 1.1898          | {'f1': 0.8180661577608143} | {'accuracy': 0.725790987535954}  |
| 0.1758        | 444.0  | 178044 | 1.3304          | {'f1': 0.8233782915863841} | {'accuracy': 0.7363374880153404} |
| 0.1758        | 445.0  | 178445 | 0.9537          | {'f1': 0.8128693368351937} | {'accuracy': 0.7267497603068073} |
| 0.1949        | 446.0  | 178846 | 1.2281          | {'f1': 0.827930174563591}  | {'accuracy': 0.7353787152444871} |
| 0.2036        | 447.0  | 179247 | 1.3548          | {'f1': 0.8334380892520427} | {'accuracy': 0.7459252157238735} |
| 0.2143        | 448.0  | 179648 | 1.3221          | {'f1': 0.8252788104089219} | {'accuracy': 0.7296260786193672} |
| 0.2018        | 449.0  | 180049 | 1.0750          | {'f1': 0.8266841072596469} | {'accuracy': 0.7459252157238735} |
| 0.2018        | 450.0  | 180450 | 1.0755          | {'f1': 0.827020202020202}  | {'accuracy': 0.7372962607861937} |
| 0.2252        | 451.0  | 180851 | 1.2166          | {'f1': 0.8346951602765557} | {'accuracy': 0.74784276126558}   |
| 0.2094        | 452.0  | 181252 | 1.1274          | {'f1': 0.8315182575272262} | {'accuracy': 0.74784276126558}   |
| 0.2681        | 453.0  | 181653 | 1.3181          | {'f1': 0.827020202020202}  | {'accuracy': 0.7372962607861937} |
| 0.1972        | 454.0  | 182054 | 0.8673          | {'f1': 0.8325123152709359} | {'accuracy': 0.7392138063279002} |
| 0.1972        | 455.0  | 182455 | 1.1591          | {'f1': 0.8323773103887826} | {'accuracy': 0.74784276126558}   |
| 0.1951        | 456.0  | 182856 | 1.3041          | {'f1': 0.8277130594727161} | {'accuracy': 0.7305848513902206} |
| 0.1982        | 457.0  | 183257 | 1.4555          | {'f1': 0.8359522313010685} | {'accuracy': 0.7497603068072867} |
| 0.1838        | 458.0  | 183658 | 1.1299          | {'f1': 0.8346253229974161} | {'accuracy': 0.7545541706615532} |
| 0.2182        | 459.0  | 184059 | 0.9776          | {'f1': 0.8259773013871374} | {'accuracy': 0.7353787152444871} |
| 0.2182        | 460.0  | 184460 | 1.3032          | {'f1': 0.8240680183126227} | {'accuracy': 0.7420901246404602} |
| 0.1852        | 461.0  | 184861 | 0.9505          | {'f1': 0.8330229671011794} | {'accuracy': 0.7420901246404602} |
| 0.1851        | 462.0  | 185262 | 1.1927          | {'f1': 0.829827915869981}  | {'accuracy': 0.7440076701821668} |
| 0.1888        | 463.0  | 185663 | 1.4087          | {'f1': 0.8368098159509203} | {'accuracy': 0.7449664429530202} |
| 0.1893        | 464.0  | 186064 | 1.2923          | {'f1': 0.836223506743738}  | {'accuracy': 0.7555129434324065} |
| 0.1893        | 465.0  | 186465 | 1.0797          | {'f1': 0.8313479623824451} | {'accuracy': 0.7420901246404602} |
| 0.186         | 466.0  | 186866 | 1.2101          | {'f1': 0.834793491864831}  | {'accuracy': 0.7468839884947267} |
| 0.1864        | 467.0  | 187267 | 1.2022          | {'f1': 0.8392511297611364} | {'accuracy': 0.7612655800575263} |
| 0.1981        | 468.0  | 187668 | 1.1092          | {'f1': 0.8280961182994454} | {'accuracy': 0.7325023969319271} |
| 0.1895        | 469.0  | 188069 | 1.1553          | {'f1': 0.8340694006309148} | {'accuracy': 0.74784276126558}   |
| 0.1895        | 470.0  | 188470 | 1.3154          | {'f1': 0.8378033205619413} | {'accuracy': 0.7564717162032598} |
| 0.179         | 471.0  | 188871 | 1.1820          | {'f1': 0.8273291925465839} | {'accuracy': 0.7334611697027804} |
| 0.1794        | 472.0  | 189272 | 1.3787          | {'f1': 0.8302370275464446} | {'accuracy': 0.7459252157238735} |
| 0.1789        | 473.0  | 189673 | 1.4287          | {'f1': 0.8244648318042813} | {'accuracy': 0.7248322147651006} |
| 0.1875        | 474.0  | 190074 | 1.4542          | {'f1': 0.8263157894736842} | {'accuracy': 0.7468839884947267} |
| 0.1875        | 475.0  | 190475 | 1.2156          | {'f1': 0.8296107211231654} | {'accuracy': 0.7440076701821668} |
| 0.1752        | 476.0  | 190876 | 1.3758          | {'f1': 0.8198675496688741} | {'accuracy': 0.7392138063279002} |
| 0.1771        | 477.0  | 191277 | 1.2855          | {'f1': 0.815686274509804}  | {'accuracy': 0.7296260786193672} |
| 0.1733        | 478.0  | 191678 | 1.2288          | {'f1': 0.8364099299809039} | {'accuracy': 0.7535953978907}    |
| 0.1716        | 479.0  | 192079 | 1.3840          | {'f1': 0.8249370277078085} | {'accuracy': 0.7334611697027804} |
| 0.1716        | 480.0  | 192480 | 1.2057          | {'f1': 0.8237547892720306} | {'accuracy': 0.7353787152444871} |
| 0.1784        | 481.0  | 192881 | 1.1144          | {'f1': 0.8191214470284238} | {'accuracy': 0.7315436241610739} |
| 0.1792        | 482.0  | 193282 | 1.3919          | {'f1': 0.8310038119440915} | {'accuracy': 0.7449664429530202} |
| 0.1733        | 483.0  | 193683 | 1.4192          | {'f1': 0.8193717277486912} | {'accuracy': 0.7353787152444871} |
| 0.1744        | 484.0  | 194084 | 1.3938          | {'f1': 0.833859759949463}  | {'accuracy': 0.74784276126558}   |
| 0.1744        | 485.0  | 194485 | 1.1077          | {'f1': 0.825065274151436}  | {'accuracy': 0.7430488974113135} |
| 0.1979        | 486.0  | 194886 | 1.3552          | {'f1': 0.8292993630573249} | {'accuracy': 0.7430488974113135} |
| 0.1819        | 487.0  | 195287 | 1.3888          | {'f1': 0.8311195445920303} | {'accuracy': 0.7440076701821668} |
| 0.1856        | 488.0  | 195688 | 1.3409          | {'f1': 0.834793491864831}  | {'accuracy': 0.7468839884947267} |
| 0.1808        | 489.0  | 196089 | 1.2179          | {'f1': 0.8173455978975033} | {'accuracy': 0.7334611697027804} |
| 0.1808        | 490.0  | 196490 | 1.0741          | {'f1': 0.832398753894081}  | {'accuracy': 0.7420901246404602} |
| 0.1901        | 491.0  | 196891 | 1.2581          | {'f1': 0.8294871794871795} | {'accuracy': 0.7449664429530202} |
| 0.171         | 492.0  | 197292 | 1.2058          | {'f1': 0.8394584139264991} | {'accuracy': 0.7612655800575263} |
| 0.1898        | 493.0  | 197693 | 1.2022          | {'f1': 0.8239895697522815} | {'accuracy': 0.7411313518696069} |
| 0.1996        | 494.0  | 198094 | 1.3556          | {'f1': 0.8326018808777429} | {'accuracy': 0.7440076701821668} |
| 0.1996        | 495.0  | 198495 | 1.4803          | {'f1': 0.8322903629536921} | {'accuracy': 0.7430488974113135} |
| 0.1977        | 496.0  | 198896 | 1.3276          | {'f1': 0.826530612244898}  | {'accuracy': 0.7392138063279002} |
| 0.189         | 497.0  | 199297 | 1.3818          | {'f1': 0.8319800124921923} | {'accuracy': 0.7420901246404602} |
| 0.1815        | 498.0  | 199698 | 1.1890          | {'f1': 0.8228423101881894} | {'accuracy': 0.738255033557047}  |
| 0.1787        | 499.0  | 200099 | 1.0720          | {'f1': 0.8283723875870805} | {'accuracy': 0.7401725790987536} |
| 0.192         | 500.0  | 200500 | 1.2294          | {'f1': 0.836340206185567}  | {'accuracy': 0.7564717162032598} |
| 0.192         | 501.0  | 200901 | 1.0655          | {'f1': 0.8362720403022671} | {'accuracy': 0.75071907957814}   |
| 0.1763        | 502.0  | 201302 | 0.9363          | {'f1': 0.8316195372750643} | {'accuracy': 0.7488015340364333} |
| 0.1862        | 503.0  | 201703 | 1.3441          | {'f1': 0.8270096463022508} | {'accuracy': 0.7420901246404602} |
| 0.2075        | 504.0  | 202104 | 1.1774          | {'f1': 0.8259773013871374} | {'accuracy': 0.7353787152444871} |
| 0.1806        | 505.0  | 202505 | 1.2772          | {'f1': 0.8325791855203619} | {'accuracy': 0.7516778523489933} |
| 0.1806        | 506.0  | 202906 | 1.2522          | {'f1': 0.8293625241468126} | {'accuracy': 0.7459252157238735} |
| 0.1574        | 507.0  | 203307 | 1.1750          | {'f1': 0.8377874456183967} | {'accuracy': 0.7497603068072867} |
| 0.1716        | 508.0  | 203708 | 1.2929          | {'f1': 0.8234536082474228} | {'accuracy': 0.7372962607861937} |
| 0.1834        | 509.0  | 204109 | 1.4654          | {'f1': 0.8316582914572863} | {'accuracy': 0.7430488974113135} |
| 0.1682        | 510.0  | 204510 | 1.3371          | {'f1': 0.8348680171884592} | {'accuracy': 0.7420901246404602} |
| 0.1682        | 511.0  | 204911 | 1.4710          | {'f1': 0.8323773103887826} | {'accuracy': 0.74784276126558}   |
| 0.2125        | 512.0  | 205312 | 1.0153          | {'f1': 0.8325963360707517} | {'accuracy': 0.7459252157238735} |
| 0.2007        | 513.0  | 205713 | 0.9367          | {'f1': 0.8133333333333334} | {'accuracy': 0.7315436241610739} |
| 0.2031        | 514.0  | 206114 | 1.2116          | {'f1': 0.8277634961439588} | {'accuracy': 0.7430488974113135} |
| 0.184         | 515.0  | 206515 | 1.2231          | {'f1': 0.828499369482976}  | {'accuracy': 0.7392138063279002} |
| 0.184         | 516.0  | 206916 | 1.3763          | {'f1': 0.8334396936821954} | {'accuracy': 0.7497603068072867} |
| 0.1862        | 517.0  | 207317 | 1.1208          | {'f1': 0.8295165394402036} | {'accuracy': 0.7430488974113135} |
| 0.2084        | 518.0  | 207718 | 1.0639          | {'f1': 0.8235294117647058} | {'accuracy': 0.738255033557047}  |
| 0.1967        | 519.0  | 208119 | 1.1155          | {'f1': 0.8256182625237792} | {'accuracy': 0.7363374880153404} |
| 0.1943        | 520.0  | 208520 | 0.8892          | {'f1': 0.8317815021725636} | {'accuracy': 0.7401725790987536} |
| 0.1943        | 521.0  | 208921 | 1.2673          | {'f1': 0.825065274151436}  | {'accuracy': 0.7430488974113135} |
| 0.2068        | 522.0  | 209322 | 1.0673          | {'f1': 0.8316062176165803} | {'accuracy': 0.75071907957814}   |
| 0.198         | 523.0  | 209723 | 0.9268          | {'f1': 0.8325963360707517} | {'accuracy': 0.7459252157238735} |
| 0.2135        | 524.0  | 210124 | 1.3506          | {'f1': 0.8311362209667295} | {'accuracy': 0.7420901246404602} |
| 0.1971        | 525.0  | 210525 | 1.1539          | {'f1': 0.8333333333333333} | {'accuracy': 0.7430488974113135} |
| 0.1971        | 526.0  | 210926 | 1.1212          | {'f1': 0.8215712383488681} | {'accuracy': 0.7430488974113135} |
| 0.1759        | 527.0  | 211327 | 1.2367          | {'f1': 0.8253573648228714} | {'accuracy': 0.7305848513902206} |
| 0.1851        | 528.0  | 211728 | 1.0518          | {'f1': 0.8216145833333334} | {'accuracy': 0.7372962607861937} |
| 0.1709        | 529.0  | 212129 | 1.2593          | {'f1': 0.8264984227129337} | {'accuracy': 0.7363374880153404} |
| 0.1657        | 530.0  | 212530 | 1.3602          | {'f1': 0.8244372990353698} | {'accuracy': 0.738255033557047}  |
| 0.1657        | 531.0  | 212931 | 1.3430          | {'f1': 0.8157724628312865} | {'accuracy': 0.7267497603068073} |
| 0.1725        | 532.0  | 213332 | 1.2189          | {'f1': 0.8207792207792208} | {'accuracy': 0.7353787152444871} |
| 0.1899        | 533.0  | 213733 | 1.0550          | {'f1': 0.8120104438642297} | {'accuracy': 0.7238734419942474} |
| 0.214         | 534.0  | 214134 | 1.2949          | {'f1': 0.8254777070063695} | {'accuracy': 0.7372962607861937} |
| 0.1914        | 535.0  | 214535 | 1.2096          | {'f1': 0.8276729559748428} | {'accuracy': 0.7372962607861937} |
| 0.1914        | 536.0  | 214936 | 1.3878          | {'f1': 0.8169556840077072} | {'accuracy': 0.7267497603068073} |
| 0.1875        | 537.0  | 215337 | 1.1380          | {'f1': 0.8109187749667109} | {'accuracy': 0.7277085330776606} |
| 0.1841        | 538.0  | 215738 | 1.5245          | {'f1': 0.8228782287822879} | {'accuracy': 0.7238734419942474} |
| 0.1833        | 539.0  | 216139 | 1.1705          | {'f1': 0.8210116731517509} | {'accuracy': 0.7353787152444871} |
| 0.1964        | 540.0  | 216540 | 1.3621          | {'f1': 0.8102094240837695} | {'accuracy': 0.7219558964525408} |
| 0.1964        | 541.0  | 216941 | 1.1324          | {'f1': 0.808707124010554}  | {'accuracy': 0.7219558964525408} |
| 0.2           | 542.0  | 217342 | 1.2192          | {'f1': 0.8340807174887893} | {'accuracy': 0.7516778523489933} |
| 0.1762        | 543.0  | 217743 | 1.4190          | {'f1': 0.8285714285714286} | {'accuracy': 0.7468839884947267} |
| 0.1851        | 544.0  | 218144 | 1.2717          | {'f1': 0.8310214375788146} | {'accuracy': 0.7430488974113135} |
| 0.1931        | 545.0  | 218545 | 1.3152          | {'f1': 0.8313479623824451} | {'accuracy': 0.7420901246404602} |
| 0.1931        | 546.0  | 218946 | 1.0623          | {'f1': 0.8362014021669855} | {'accuracy': 0.7535953978907}    |
| 0.1962        | 547.0  | 219347 | 1.2971          | {'f1': 0.8350383631713555} | {'accuracy': 0.7526366251198466} |
| 0.1761        | 548.0  | 219748 | 1.4081          | {'f1': 0.8339670468948036} | {'accuracy': 0.7488015340364333} |
| 0.1684        | 549.0  | 220149 | 1.5189          | {'f1': 0.8316582914572863} | {'accuracy': 0.7430488974113135} |
| 0.1695        | 550.0  | 220550 | 1.3065          | {'f1': 0.8377164849262349} | {'accuracy': 0.7574304889741131} |
| 0.1695        | 551.0  | 220951 | 1.2823          | {'f1': 0.814411964649898}  | {'accuracy': 0.738255033557047}  |
| 0.1674        | 552.0  | 221352 | 1.2116          | {'f1': 0.8353162179085786} | {'accuracy': 0.74784276126558}   |
| 0.1619        | 553.0  | 221753 | 1.3179          | {'f1': 0.8335467349551857} | {'accuracy': 0.75071907957814}   |
| 0.1708        | 554.0  | 222154 | 1.0876          | {'f1': 0.8304319793681496} | {'accuracy': 0.74784276126558}   |
| 0.1592        | 555.0  | 222555 | 0.9038          | {'f1': 0.8413705583756345} | {'accuracy': 0.7603068072866731} |
| 0.1592        | 556.0  | 222956 | 1.2623          | {'f1': 0.8382716049382717} | {'accuracy': 0.7488015340364333} |
| 0.1736        | 557.0  | 223357 | 1.3497          | {'f1': 0.8388746803069054} | {'accuracy': 0.7583892617449665} |
| 0.1548        | 558.0  | 223758 | 1.4598          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.153         | 559.0  | 224159 | 1.7488          | {'f1': 0.8285356695869838} | {'accuracy': 0.7372962607861937} |
| 0.1587        | 560.0  | 224560 | 1.6057          | {'f1': 0.8305606900800986} | {'accuracy': 0.7363374880153404} |
| 0.1587        | 561.0  | 224961 | 1.4099          | {'f1': 0.8322663252240717} | {'accuracy': 0.7488015340364333} |
| 0.1558        | 562.0  | 225362 | 1.4425          | {'f1': 0.8244084682440848} | {'accuracy': 0.7296260786193672} |
| 0.1431        | 563.0  | 225763 | 1.5253          | {'f1': 0.832908163265306}  | {'accuracy': 0.7488015340364333} |
| 0.1603        | 564.0  | 226164 | 1.4144          | {'f1': 0.8345047923322685} | {'accuracy': 0.7516778523489933} |
| 0.1615        | 565.0  | 226565 | 1.7290          | {'f1': 0.8284166164960866} | {'accuracy': 0.7267497603068073} |
| 0.1615        | 566.0  | 226966 | 1.7988          | {'f1': 0.8254164096236891} | {'accuracy': 0.7286673058485139} |
| 0.1458        | 567.0  | 227367 | 1.5867          | {'f1': 0.8122215149586252} | {'accuracy': 0.7171620325982742} |
| 0.1471        | 568.0  | 227768 | 1.3076          | {'f1': 0.8233034571062741} | {'accuracy': 0.7353787152444871} |
| 0.148         | 569.0  | 228169 | 1.2555          | {'f1': 0.8149632598530394} | {'accuracy': 0.7344199424736337} |
| 0.1533        | 570.0  | 228570 | 1.5063          | {'f1': 0.8301886792452831} | {'accuracy': 0.7411313518696069} |
| 0.1533        | 571.0  | 228971 | 1.5189          | {'f1': 0.8349753694581281} | {'accuracy': 0.7430488974113135} |
| 0.1519        | 572.0  | 229372 | 1.2028          | {'f1': 0.8312020460358057} | {'accuracy': 0.7468839884947267} |
| 0.1495        | 573.0  | 229773 | 1.2156          | {'f1': 0.8299232736572889} | {'accuracy': 0.7449664429530202} |
| 0.1535        | 574.0  | 230174 | 1.4894          | {'f1': 0.8313021167415009} | {'accuracy': 0.74784276126558}   |
| 0.1384        | 575.0  | 230575 | 1.6469          | {'f1': 0.8368883312421581} | {'accuracy': 0.75071907957814}   |
| 0.1384        | 576.0  | 230976 | 1.5157          | {'f1': 0.8388714733542321} | {'accuracy': 0.7535953978907}    |
| 0.1328        | 577.0  | 231377 | 1.3831          | {'f1': 0.8296774193548387} | {'accuracy': 0.7468839884947267} |
| 0.1324        | 578.0  | 231778 | 1.2611          | {'f1': 0.826115061409179}  | {'accuracy': 0.7420901246404602} |
| 0.135         | 579.0  | 232179 | 1.5978          | {'f1': 0.8220937700706487} | {'accuracy': 0.7344199424736337} |
| 0.1354        | 580.0  | 232580 | 1.8147          | {'f1': 0.8320000000000001} | {'accuracy': 0.738255033557047}  |
| 0.1354        | 581.0  | 232981 | 1.6111          | {'f1': 0.8310387984981228} | {'accuracy': 0.7411313518696069} |
| 0.1326        | 582.0  | 233382 | 1.3016          | {'f1': 0.8282051282051283} | {'accuracy': 0.7430488974113135} |
| 0.1178        | 583.0  | 233783 | 1.4932          | {'f1': 0.8195439739413681} | {'accuracy': 0.7344199424736337} |
| 0.1137        | 584.0  | 234184 | 2.0423          | {'f1': 0.8330229671011794} | {'accuracy': 0.7420901246404602} |
| 0.1312        | 585.0  | 234585 | 1.4631          | {'f1': 0.8134034165571615} | {'accuracy': 0.7277085330776606} |
| 0.1312        | 586.0  | 234986 | 1.4882          | {'f1': 0.8264781491002571} | {'accuracy': 0.7411313518696069} |
| 0.1336        | 587.0  | 235387 | 1.1987          | {'f1': 0.8318695106649937} | {'accuracy': 0.7430488974113135} |
| 0.1382        | 588.0  | 235788 | 1.1964          | {'f1': 0.8244372990353698} | {'accuracy': 0.738255033557047}  |
| 0.1313        | 589.0  | 236189 | 1.3087          | {'f1': 0.8326898326898327} | {'accuracy': 0.75071907957814}   |
| 0.1277        | 590.0  | 236590 | 1.5256          | {'f1': 0.8331257783312578} | {'accuracy': 0.7430488974113135} |
| 0.1277        | 591.0  | 236991 | 1.5480          | {'f1': 0.8316953316953316} | {'accuracy': 0.7372962607861937} |
| 0.1385        | 592.0  | 237392 | 1.3847          | {'f1': 0.827852998065764}  | {'accuracy': 0.7440076701821668} |
| 0.1281        | 593.0  | 237793 | 1.5152          | {'f1': 0.8278061224489797} | {'accuracy': 0.7411313518696069} |
| 0.1266        | 594.0  | 238194 | 1.7781          | {'f1': 0.835458409228901}  | {'accuracy': 0.7401725790987536} |
| 0.1251        | 595.0  | 238595 | 1.4198          | {'f1': 0.833015873015873}  | {'accuracy': 0.74784276126558}   |
| 0.1251        | 596.0  | 238996 | 1.6065          | {'f1': 0.8281150159744408} | {'accuracy': 0.7420901246404602} |
| 0.139         | 597.0  | 239397 | 1.3715          | {'f1': 0.8258317025440313} | {'accuracy': 0.7440076701821668} |
| 0.1338        | 598.0  | 239798 | 1.6721          | {'f1': 0.8278061224489797} | {'accuracy': 0.7411313518696069} |
| 0.1221        | 599.0  | 240199 | 1.8160          | {'f1': 0.8329145728643216} | {'accuracy': 0.7449664429530202} |
| 0.1246        | 600.0  | 240600 | 1.7523          | {'f1': 0.826530612244898}  | {'accuracy': 0.7392138063279002} |
| 0.1144        | 601.0  | 241001 | 1.4259          | {'f1': 0.8226018396846255} | {'accuracy': 0.7411313518696069} |
| 0.1144        | 602.0  | 241402 | 1.3581          | {'f1': 0.8423028785982478} | {'accuracy': 0.7583892617449665} |
| 0.1269        | 603.0  | 241803 | 1.6206          | {'f1': 0.8394753279200501} | {'accuracy': 0.7535953978907}    |
| 0.116         | 604.0  | 242204 | 1.2881          | {'f1': 0.8285895003162556} | {'accuracy': 0.7401725790987536} |
| 0.1216        | 605.0  | 242605 | 1.5383          | {'f1': 0.8336520076481836} | {'accuracy': 0.7497603068072867} |
| 0.1132        | 606.0  | 243006 | 1.5624          | {'f1': 0.8276299112801015} | {'accuracy': 0.7392138063279002} |
| 0.1132        | 607.0  | 243407 | 1.6449          | {'f1': 0.8322903629536921} | {'accuracy': 0.7430488974113135} |
| 0.103         | 608.0  | 243808 | 1.6144          | {'f1': 0.8352344740177441} | {'accuracy': 0.75071907957814}   |
| 0.12          | 609.0  | 244209 | 1.6368          | {'f1': 0.8296199213630406} | {'accuracy': 0.75071907957814}   |
| 0.1166        | 610.0  | 244610 | 1.7159          | {'f1': 0.8339622641509433} | {'accuracy': 0.7468839884947267} |
| 0.1074        | 611.0  | 245011 | 1.3891          | {'f1': 0.8331143232588699} | {'accuracy': 0.7564717162032598} |
| 0.1074        | 612.0  | 245412 | 1.4587          | {'f1': 0.8337531486146096} | {'accuracy': 0.7468839884947267} |
| 0.1055        | 613.0  | 245813 | 1.4647          | {'f1': 0.8284789644012944} | {'accuracy': 0.7459252157238735} |
| 0.1133        | 614.0  | 246214 | 1.4399          | {'f1': 0.8315182575272262} | {'accuracy': 0.74784276126558}   |
| 0.135         | 615.0  | 246615 | 1.4565          | {'f1': 0.8143790849673201} | {'accuracy': 0.7277085330776606} |
| 0.1181        | 616.0  | 247016 | 1.6149          | {'f1': 0.8329145728643216} | {'accuracy': 0.7449664429530202} |
| 0.1181        | 617.0  | 247417 | 1.4303          | {'f1': 0.8048289738430584} | {'accuracy': 0.7209971236816874} |
| 0.1361        | 618.0  | 247818 | 1.4055          | {'f1': 0.8359522313010685} | {'accuracy': 0.7497603068072867} |
| 0.1177        | 619.0  | 248219 | 1.4533          | {'f1': 0.8251121076233184} | {'accuracy': 0.738255033557047}  |
| 0.13          | 620.0  | 248620 | 1.4533          | {'f1': 0.8315041962556489} | {'accuracy': 0.7497603068072867} |
| 0.1152        | 621.0  | 249021 | 1.5651          | {'f1': 0.8333333333333334} | {'accuracy': 0.7564717162032598} |
| 0.1152        | 622.0  | 249422 | 1.5349          | {'f1': 0.8298136645962733} | {'accuracy': 0.7372962607861937} |
| 0.1258        | 623.0  | 249823 | 1.3304          | {'f1': 0.8298701298701299} | {'accuracy': 0.7488015340364333} |
| 0.1271        | 624.0  | 250224 | 1.7717          | {'f1': 0.8256182625237792} | {'accuracy': 0.7363374880153404} |
| 0.1087        | 625.0  | 250625 | 1.4667          | {'f1': 0.8367729831144466} | {'accuracy': 0.7497603068072867} |
| 0.1107        | 626.0  | 251026 | 1.4748          | {'f1': 0.8274534958306606} | {'accuracy': 0.7420901246404602} |
| 0.1107        | 627.0  | 251427 | 1.2582          | {'f1': 0.8299935358758889} | {'accuracy': 0.74784276126558}   |
| 0.1163        | 628.0  | 251828 | 1.6093          | {'f1': 0.8419023136246786} | {'accuracy': 0.7641418983700863} |
| 0.1005        | 629.0  | 252229 | 1.6457          | {'f1': 0.8388714733542321} | {'accuracy': 0.7535953978907}    |
| 0.1089        | 630.0  | 252630 | 1.4253          | {'f1': 0.8330229671011794} | {'accuracy': 0.7420901246404602} |
| 0.1211        | 631.0  | 253031 | 1.9493          | {'f1': 0.8313773934527486} | {'accuracy': 0.738255033557047}  |
| 0.1211        | 632.0  | 253432 | 1.7456          | {'f1': 0.83270911360799}   | {'accuracy': 0.7430488974113135} |
| 0.1089        | 633.0  | 253833 | 1.6031          | {'f1': 0.8240563019833654} | {'accuracy': 0.7363374880153404} |
| 0.1059        | 634.0  | 254234 | 1.7369          | {'f1': 0.8291457286432161} | {'accuracy': 0.7392138063279002} |
| 0.1102        | 635.0  | 254635 | 1.4770          | {'f1': 0.8315724052206339} | {'accuracy': 0.7401725790987536} |
| 0.1158        | 636.0  | 255036 | 1.6676          | {'f1': 0.8261421319796954} | {'accuracy': 0.7372962607861937} |
| 0.1158        | 637.0  | 255437 | 1.4730          | {'f1': 0.8323548597521201} | {'accuracy': 0.7535953978907}    |
| 0.1132        | 638.0  | 255838 | 1.5628          | {'f1': 0.8270967741935484} | {'accuracy': 0.7430488974113135} |
| 0.0997        | 639.0  | 256239 | 1.7487          | {'f1': 0.8306503541532518} | {'accuracy': 0.74784276126558}   |
| 0.114         | 640.0  | 256640 | 1.7745          | {'f1': 0.828334396936822}  | {'accuracy': 0.7420901246404602} |
| 0.1012        | 641.0  | 257041 | 1.8126          | {'f1': 0.8303108808290156} | {'accuracy': 0.7488015340364333} |
| 0.1012        | 642.0  | 257442 | 1.8939          | {'f1': 0.8287153652392948} | {'accuracy': 0.7392138063279002} |
| 0.1057        | 643.0  | 257843 | 1.5884          | {'f1': 0.8169934640522876} | {'accuracy': 0.7315436241610739} |
| 0.1018        | 644.0  | 258244 | 1.4668          | {'f1': 0.8308457711442787} | {'accuracy': 0.7392138063279002} |
| 0.1016        | 645.0  | 258645 | 1.4985          | {'f1': 0.8190224570673712} | {'accuracy': 0.7372962607861937} |
| 0.1148        | 646.0  | 259046 | 1.7336          | {'f1': 0.8304977945809704} | {'accuracy': 0.7420901246404602} |
| 0.1148        | 647.0  | 259447 | 1.6005          | {'f1': 0.81795195954488}   | {'accuracy': 0.7238734419942474} |
| 0.0957        | 648.0  | 259848 | 1.8434          | {'f1': 0.8270967741935484} | {'accuracy': 0.7430488974113135} |
| 0.1002        | 649.0  | 260249 | 1.4834          | {'f1': 0.8209718670076727} | {'accuracy': 0.7315436241610739} |
| 0.0992        | 650.0  | 260650 | 1.7101          | {'f1': 0.8312807881773399} | {'accuracy': 0.7372962607861937} |
| 0.1138        | 651.0  | 261051 | 1.5851          | {'f1': 0.8283723875870805} | {'accuracy': 0.7401725790987536} |
| 0.1138        | 652.0  | 261452 | 1.4149          | {'f1': 0.8307111390811831} | {'accuracy': 0.7420901246404602} |
| 0.1174        | 653.0  | 261853 | 1.4029          | {'f1': 0.8229233741146168} | {'accuracy': 0.7363374880153404} |
| 0.108         | 654.0  | 262254 | 1.7220          | {'f1': 0.8351231838281743} | {'accuracy': 0.7497603068072867} |
| 0.0935        | 655.0  | 262655 | 1.5609          | {'f1': 0.8334380892520427} | {'accuracy': 0.7459252157238735} |
| 0.0994        | 656.0  | 263056 | 1.2614          | {'f1': 0.8204134366925064} | {'accuracy': 0.7334611697027804} |
| 0.0994        | 657.0  | 263457 | 1.7510          | {'f1': 0.8256642903434868} | {'accuracy': 0.7420901246404602} |
| 0.0998        | 658.0  | 263858 | 1.6692          | {'f1': 0.8261421319796954} | {'accuracy': 0.7372962607861937} |
| 0.0853        | 659.0  | 264259 | 1.2292          | {'f1': 0.82687338501292}   | {'accuracy': 0.7430488974113135} |
| 0.1054        | 660.0  | 264660 | 1.7218          | {'f1': 0.8272318561335902} | {'accuracy': 0.7420901246404602} |
| 0.1026        | 661.0  | 265061 | 1.7664          | {'f1': 0.8230088495575221} | {'accuracy': 0.7315436241610739} |
| 0.1026        | 662.0  | 265462 | 1.7136          | {'f1': 0.8155080213903744} | {'accuracy': 0.7353787152444871} |
| 0.0973        | 663.0  | 265863 | 1.7486          | {'f1': 0.8301404853128992} | {'accuracy': 0.7449664429530202} |
| 0.0872        | 664.0  | 266264 | 1.8180          | {'f1': 0.829733163913596}  | {'accuracy': 0.7430488974113135} |
| 0.1022        | 665.0  | 266665 | 1.7115          | {'f1': 0.8298807281858129} | {'accuracy': 0.7401725790987536} |
| 0.1033        | 666.0  | 267066 | 1.6435          | {'f1': 0.8226221079691517} | {'accuracy': 0.7353787152444871} |
| 0.1033        | 667.0  | 267467 | 1.5114          | {'f1': 0.8209606986899564} | {'accuracy': 0.7248322147651006} |
| 0.0944        | 668.0  | 267868 | 1.5776          | {'f1': 0.8239116309291746} | {'accuracy': 0.7401725790987536} |
| 0.0816        | 669.0  | 268269 | 1.9097          | {'f1': 0.8376830044557607} | {'accuracy': 0.7555129434324065} |
| 0.0942        | 670.0  | 268670 | 1.6546          | {'f1': 0.8246505717916136} | {'accuracy': 0.7353787152444871} |
| 0.0891        | 671.0  | 269071 | 1.7671          | {'f1': 0.8293625241468126} | {'accuracy': 0.7459252157238735} |
| 0.0891        | 672.0  | 269472 | 1.6031          | {'f1': 0.8228571428571428} | {'accuracy': 0.7325023969319271} |
| 0.0897        | 673.0  | 269873 | 1.4601          | {'f1': 0.8238308776425368} | {'accuracy': 0.7363374880153404} |
| 0.1028        | 674.0  | 270274 | 1.7382          | {'f1': 0.8240563019833654} | {'accuracy': 0.7363374880153404} |
| 0.0998        | 675.0  | 270675 | 1.9301          | {'f1': 0.8151534944480732} | {'accuracy': 0.7286673058485139} |
| 0.0866        | 676.0  | 271076 | 1.7861          | {'f1': 0.8240680183126227} | {'accuracy': 0.7420901246404602} |
| 0.0866        | 677.0  | 271477 | 1.6736          | {'f1': 0.8267716535433071} | {'accuracy': 0.7468839884947267} |
| 0.0928        | 678.0  | 271878 | 1.5959          | {'f1': 0.8264462809917356} | {'accuracy': 0.738255033557047}  |
| 0.1041        | 679.0  | 272279 | 1.5924          | {'f1': 0.8165137614678899} | {'accuracy': 0.7315436241610739} |
| 0.0956        | 680.0  | 272680 | 1.6246          | {'f1': 0.8221797323135756} | {'accuracy': 0.7325023969319271} |
| 0.0836        | 681.0  | 273081 | 1.8791          | {'f1': 0.833859759949463}  | {'accuracy': 0.74784276126558}   |
| 0.0836        | 682.0  | 273482 | 1.6407          | {'f1': 0.8274143302180685} | {'accuracy': 0.7344199424736337} |
| 0.094         | 683.0  | 273883 | 1.7358          | {'f1': 0.8226857887874839} | {'accuracy': 0.7392138063279002} |
| 0.0996        | 684.0  | 274284 | 1.6334          | {'f1': 0.8181229773462783} | {'accuracy': 0.7305848513902206} |
| 0.0888        | 685.0  | 274685 | 1.4579          | {'f1': 0.8249370277078085} | {'accuracy': 0.7334611697027804} |
| 0.0853        | 686.0  | 275086 | 1.6474          | {'f1': 0.8312182741116751} | {'accuracy': 0.7449664429530202} |
| 0.0853        | 687.0  | 275487 | 1.4804          | {'f1': 0.8247422680412371} | {'accuracy': 0.7392138063279002} |
| 0.0921        | 688.0  | 275888 | 1.2591          | {'f1': 0.8282442748091604} | {'accuracy': 0.7411313518696069} |
| 0.0913        | 689.0  | 276289 | 1.6632          | {'f1': 0.8359923420548819} | {'accuracy': 0.7535953978907}    |
| 0.0907        | 690.0  | 276690 | 1.9568          | {'f1': 0.8291139240506329} | {'accuracy': 0.7411313518696069} |
| 0.0817        | 691.0  | 277091 | 1.7280          | {'f1': 0.8358585858585859} | {'accuracy': 0.75071907957814}   |
| 0.0817        | 692.0  | 277492 | 1.6616          | {'f1': 0.8264462809917356} | {'accuracy': 0.738255033557047}  |
| 0.0962        | 693.0  | 277893 | 1.7548          | {'f1': 0.8276745675848817} | {'accuracy': 0.7420901246404602} |
| 0.0796        | 694.0  | 278294 | 1.8925          | {'f1': 0.8314745972738538} | {'accuracy': 0.7392138063279002} |
| 0.0835        | 695.0  | 278695 | 1.5110          | {'f1': 0.8286802030456853} | {'accuracy': 0.7411313518696069} |
| 0.0863        | 696.0  | 279096 | 1.5822          | {'f1': 0.8223350253807107} | {'accuracy': 0.7315436241610739} |
| 0.0863        | 697.0  | 279497 | 1.8268          | {'f1': 0.8296390120329322} | {'accuracy': 0.7420901246404602} |
| 0.0902        | 698.0  | 279898 | 1.5674          | {'f1': 0.8288633461047253} | {'accuracy': 0.7430488974113135} |
| 0.0985        | 699.0  | 280299 | 1.5877          | {'f1': 0.8240563019833654} | {'accuracy': 0.7363374880153404} |
| 0.1017        | 700.0  | 280700 | 1.5604          | {'f1': 0.8366093366093366} | {'accuracy': 0.7449664429530202} |
| 0.0857        | 701.0  | 281101 | 1.4140          | {'f1': 0.8368883312421581} | {'accuracy': 0.75071907957814}   |
| 0.1023        | 702.0  | 281502 | 1.7546          | {'f1': 0.8218649517684887} | {'accuracy': 0.7344199424736337} |
| 0.1023        | 703.0  | 281903 | 1.6308          | {'f1': 0.8247291268323773} | {'accuracy': 0.7363374880153404} |
| 0.0902        | 704.0  | 282304 | 1.6120          | {'f1': 0.8343789209535759} | {'accuracy': 0.7468839884947267} |
| 0.0928        | 705.0  | 282705 | 1.8234          | {'f1': 0.824572514249525}  | {'accuracy': 0.7344199424736337} |
| 0.084         | 706.0  | 283106 | 1.5333          | {'f1': 0.8361370716510904} | {'accuracy': 0.74784276126558}   |
| 0.0891        | 707.0  | 283507 | 1.4155          | {'f1': 0.8290220820189275} | {'accuracy': 0.7401725790987536} |
| 0.0891        | 708.0  | 283908 | 1.5104          | {'f1': 0.8307111390811831} | {'accuracy': 0.7420901246404602} |
| 0.0969        | 709.0  | 284309 | 1.6922          | {'f1': 0.8270967741935484} | {'accuracy': 0.7430488974113135} |
| 0.0906        | 710.0  | 284710 | 1.3256          | {'f1': 0.8359923420548819} | {'accuracy': 0.7535953978907}    |
| 0.089         | 711.0  | 285111 | 1.5909          | {'f1': 0.8188976377952756} | {'accuracy': 0.7353787152444871} |
| 0.0897        | 712.0  | 285512 | 1.5304          | {'f1': 0.8339622641509433} | {'accuracy': 0.7468839884947267} |
| 0.0897        | 713.0  | 285913 | 1.5569          | {'f1': 0.8315182575272262} | {'accuracy': 0.74784276126558}   |
| 0.0864        | 714.0  | 286314 | 1.4281          | {'f1': 0.8303341902313626} | {'accuracy': 0.7468839884947267} |
| 0.0867        | 715.0  | 286715 | 1.5863          | {'f1': 0.823146944083225}  | {'accuracy': 0.7392138063279002} |
| 0.0772        | 716.0  | 287116 | 1.8048          | {'f1': 0.8271446862996158} | {'accuracy': 0.7411313518696069} |
| 0.0939        | 717.0  | 287517 | 1.3001          | {'f1': 0.8210800260247235} | {'accuracy': 0.7363374880153404} |
| 0.0939        | 718.0  | 287918 | 1.7993          | {'f1': 0.8239845261121858} | {'accuracy': 0.738255033557047}  |
| 0.0821        | 719.0  | 288319 | 1.5618          | {'f1': 0.8267008985879333} | {'accuracy': 0.7411313518696069} |
| 0.0924        | 720.0  | 288720 | 1.7069          | {'f1': 0.8335451080050826} | {'accuracy': 0.7488015340364333} |
| 0.0798        | 721.0  | 289121 | 1.5295          | {'f1': 0.8289891926255561} | {'accuracy': 0.7420901246404602} |
| 0.0805        | 722.0  | 289522 | 1.6203          | {'f1': 0.8179487179487178} | {'accuracy': 0.7277085330776606} |
| 0.0805        | 723.0  | 289923 | 1.6092          | {'f1': 0.8229915088177661} | {'accuracy': 0.7401725790987536} |
| 0.0935        | 724.0  | 290324 | 1.5888          | {'f1': 0.8276315789473684} | {'accuracy': 0.7488015340364333} |
| 0.0703        | 725.0  | 290725 | 1.3161          | {'f1': 0.8137384412153237} | {'accuracy': 0.7296260786193672} |
| 0.0869        | 726.0  | 291126 | 1.6319          | {'f1': 0.8261731658955718} | {'accuracy': 0.74784276126558}   |
| 0.0896        | 727.0  | 291527 | 1.5046          | {'f1': 0.8281250000000002} | {'accuracy': 0.7468839884947267} |
| 0.0896        | 728.0  | 291928 | 1.9018          | {'f1': 0.8279773156899811} | {'accuracy': 0.738255033557047}  |
| 0.0822        | 729.0  | 292329 | 1.5891          | {'f1': 0.8258317025440313} | {'accuracy': 0.7440076701821668} |
| 0.0928        | 730.0  | 292730 | 1.6360          | {'f1': 0.8332292317301687} | {'accuracy': 0.7440076701821668} |
| 0.0844        | 731.0  | 293131 | 1.6070          | {'f1': 0.8278481012658229} | {'accuracy': 0.7392138063279002} |
| 0.0856        | 732.0  | 293532 | 1.4064          | {'f1': 0.825147347740668}  | {'accuracy': 0.7440076701821668} |
| 0.0856        | 733.0  | 293933 | 1.4311          | {'f1': 0.8294573643410853} | {'accuracy': 0.7468839884947267} |
| 0.094         | 734.0  | 294334 | 1.6478          | {'f1': 0.8256041802743305} | {'accuracy': 0.7440076701821668} |
| 0.08          | 735.0  | 294735 | 1.6216          | {'f1': 0.8358778625954199} | {'accuracy': 0.7526366251198466} |
| 0.0859        | 736.0  | 295136 | 1.4966          | {'f1': 0.8353619474695709} | {'accuracy': 0.7535953978907}    |
| 0.0854        | 737.0  | 295537 | 1.7886          | {'f1': 0.8309859154929577} | {'accuracy': 0.7468839884947267} |
| 0.0854        | 738.0  | 295938 | 1.8090          | {'f1': 0.8307307932542161} | {'accuracy': 0.7401725790987536} |
| 0.0896        | 739.0  | 296339 | 1.5433          | {'f1': 0.8233815210559398} | {'accuracy': 0.7305848513902206} |
| 0.0739        | 740.0  | 296740 | 1.7438          | {'f1': 0.819672131147541}  | {'accuracy': 0.725790987535954}  |
| 0.0861        | 741.0  | 297141 | 1.9325          | {'f1': 0.8263624841571611} | {'accuracy': 0.7372962607861937} |
| 0.0791        | 742.0  | 297542 | 1.6114          | {'f1': 0.8280254777070063} | {'accuracy': 0.7411313518696069} |
| 0.0791        | 743.0  | 297943 | 1.6317          | {'f1': 0.8274984086569064} | {'accuracy': 0.7401725790987536} |
| 0.0771        | 744.0  | 298344 | 1.5320          | {'f1': 0.8310214375788146} | {'accuracy': 0.7430488974113135} |
| 0.0799        | 745.0  | 298745 | 1.5274          | {'f1': 0.8223086900129701} | {'accuracy': 0.7372962607861937} |
| 0.0858        | 746.0  | 299146 | 1.7967          | {'f1': 0.8305519897304235} | {'accuracy': 0.7468839884947267} |
| 0.0674        | 747.0  | 299547 | 1.9449          | {'f1': 0.8214285714285715} | {'accuracy': 0.7315436241610739} |
| 0.0674        | 748.0  | 299948 | 1.4532          | {'f1': 0.8191978961209729} | {'accuracy': 0.7363374880153404} |
| 0.0851        | 749.0  | 300349 | 2.1440          | {'f1': 0.8227848101265823} | {'accuracy': 0.7315436241610739} |
| 0.0682        | 750.0  | 300750 | 1.6794          | {'f1': 0.8120104438642297} | {'accuracy': 0.7238734419942474} |
| 0.0847        | 751.0  | 301151 | 2.0765          | {'f1': 0.816847479259732}  | {'accuracy': 0.7248322147651006} |
| 0.0933        | 752.0  | 301552 | 1.9817          | {'f1': 0.8164598301763553} | {'accuracy': 0.7305848513902206} |
| 0.0933        | 753.0  | 301953 | 1.9762          | {'f1': 0.8250950570342205} | {'accuracy': 0.7353787152444871} |
| 0.0809        | 754.0  | 302354 | 1.8983          | {'f1': 0.8313021167415009} | {'accuracy': 0.74784276126558}   |
| 0.0816        | 755.0  | 302755 | 1.8626          | {'f1': 0.832274459974587}  | {'accuracy': 0.7468839884947267} |
| 0.0826        | 756.0  | 303156 | 1.9434          | {'f1': 0.821685173089484}  | {'accuracy': 0.738255033557047}  |
| 0.0804        | 757.0  | 303557 | 1.7329          | {'f1': 0.8304977945809704} | {'accuracy': 0.7420901246404602} |
| 0.0804        | 758.0  | 303958 | 1.9640          | {'f1': 0.824126984126984}  | {'accuracy': 0.7344199424736337} |
| 0.0947        | 759.0  | 304359 | 1.4904          | {'f1': 0.8240563019833654} | {'accuracy': 0.7363374880153404} |
| 0.0828        | 760.0  | 304760 | 1.8932          | {'f1': 0.8310214375788146} | {'accuracy': 0.7430488974113135} |
| 0.0817        | 761.0  | 305161 | 1.6742          | {'f1': 0.8195439739413681} | {'accuracy': 0.7344199424736337} |
| 0.0761        | 762.0  | 305562 | 2.1010          | {'f1': 0.8239074550128535} | {'accuracy': 0.7372962607861937} |
| 0.0761        | 763.0  | 305963 | 1.8021          | {'f1': 0.8315041962556489} | {'accuracy': 0.7497603068072867} |
| 0.0834        | 764.0  | 306364 | 1.6681          | {'f1': 0.8138020833333333} | {'accuracy': 0.725790987535954}  |
| 0.0919        | 765.0  | 306765 | 1.6430          | {'f1': 0.8323699421965319} | {'accuracy': 0.7497603068072867} |
| 0.0816        | 766.0  | 307166 | 1.6379          | {'f1': 0.8293316028552888} | {'accuracy': 0.74784276126558}   |
| 0.0851        | 767.0  | 307567 | 1.3931          | {'f1': 0.8308457711442787} | {'accuracy': 0.7392138063279002} |
| 0.0851        | 768.0  | 307968 | 1.4214          | {'f1': 0.8236065573770491} | {'accuracy': 0.7420901246404602} |
| 0.0932        | 769.0  | 308369 | 1.7382          | {'f1': 0.8367473618870268} | {'accuracy': 0.74784276126558}   |
| 0.0779        | 770.0  | 308770 | 1.5906          | {'f1': 0.8220779220779222} | {'accuracy': 0.7372962607861937} |
| 0.0765        | 771.0  | 309171 | 1.6053          | {'f1': 0.8142762723066755} | {'accuracy': 0.7305848513902206} |
| 0.0826        | 772.0  | 309572 | 1.6844          | {'f1': 0.8359326263256395} | {'accuracy': 0.74784276126558}   |
| 0.0826        | 773.0  | 309973 | 1.6748          | {'f1': 0.8250484183344092} | {'accuracy': 0.7401725790987536} |
| 0.0854        | 774.0  | 310374 | 1.8388          | {'f1': 0.8264248704663213} | {'accuracy': 0.7430488974113135} |
| 0.0694        | 775.0  | 310775 | 1.4671          | {'f1': 0.8215661103979461} | {'accuracy': 0.7334611697027804} |
| 0.0793        | 776.0  | 311176 | 1.6423          | {'f1': 0.8318471337579618} | {'accuracy': 0.7468839884947267} |
| 0.0829        | 777.0  | 311577 | 1.5728          | {'f1': 0.8310038119440915} | {'accuracy': 0.7449664429530202} |
| 0.0829        | 778.0  | 311978 | 1.5087          | {'f1': 0.8292367399741268} | {'accuracy': 0.7468839884947267} |
| 0.0677        | 779.0  | 312379 | 1.8758          | {'f1': 0.8339575530586767} | {'accuracy': 0.7449664429530202} |
| 0.081         | 780.0  | 312780 | 1.9263          | {'f1': 0.8384710234278668} | {'accuracy': 0.7488015340364333} |
| 0.0791        | 781.0  | 313181 | 2.0157          | {'f1': 0.8323917137476461} | {'accuracy': 0.7440076701821668} |
| 0.077         | 782.0  | 313582 | 1.7422          | {'f1': 0.8345047923322685} | {'accuracy': 0.7516778523489933} |
| 0.077         | 783.0  | 313983 | 1.8700          | {'f1': 0.8386691776522286} | {'accuracy': 0.7535953978907}    |
| 0.0684        | 784.0  | 314384 | 1.8097          | {'f1': 0.8365019011406846} | {'accuracy': 0.7526366251198466} |
| 0.0664        | 785.0  | 314785 | 1.9999          | {'f1': 0.8288874430709173} | {'accuracy': 0.74784276126558}   |
| 0.0724        | 786.0  | 315186 | 1.7940          | {'f1': 0.829109811565952}  | {'accuracy': 0.74784276126558}   |
| 0.0748        | 787.0  | 315587 | 1.9124          | {'f1': 0.8339670468948036} | {'accuracy': 0.7488015340364333} |
| 0.0748        | 788.0  | 315988 | 1.7876          | {'f1': 0.8414403032217308} | {'accuracy': 0.7593480345158198} |
| 0.0766        | 789.0  | 316389 | 1.7075          | {'f1': 0.8356687898089172} | {'accuracy': 0.7526366251198466} |
| 0.0657        | 790.0  | 316790 | 1.9572          | {'f1': 0.8281150159744408} | {'accuracy': 0.7420901246404602} |
| 0.0687        | 791.0  | 317191 | 1.6156          | {'f1': 0.8352344740177441} | {'accuracy': 0.75071907957814}   |
| 0.0799        | 792.0  | 317592 | 1.9296          | {'f1': 0.8291457286432161} | {'accuracy': 0.7392138063279002} |
| 0.0799        | 793.0  | 317993 | 1.7499          | {'f1': 0.8250000000000001} | {'accuracy': 0.7449664429530202} |
| 0.0867        | 794.0  | 318394 | 1.6299          | {'f1': 0.8299492385786802} | {'accuracy': 0.7430488974113135} |
| 0.0909        | 795.0  | 318795 | 1.9117          | {'f1': 0.8340638697557922} | {'accuracy': 0.7459252157238735} |
| 0.0809        | 796.0  | 319196 | 1.9613          | {'f1': 0.8297734627831717} | {'accuracy': 0.74784276126558}   |
| 0.0749        | 797.0  | 319597 | 1.6396          | {'f1': 0.8310679611650486} | {'accuracy': 0.7497603068072867} |
| 0.0749        | 798.0  | 319998 | 1.6120          | {'f1': 0.8314028314028314} | {'accuracy': 0.7488015340364333} |
| 0.0847        | 799.0  | 320399 | 1.6425          | {'f1': 0.824583866837388}  | {'accuracy': 0.7372962607861937} |
| 0.078         | 800.0  | 320800 | 1.6978          | {'f1': 0.8288874430709173} | {'accuracy': 0.74784276126558}   |
| 0.0724        | 801.0  | 321201 | 1.6961          | {'f1': 0.8359133126934986} | {'accuracy': 0.7459252157238735} |
| 0.0792        | 802.0  | 321602 | 1.5503          | {'f1': 0.8367729831144466} | {'accuracy': 0.7497603068072867} |
| 0.0748        | 803.0  | 322003 | 1.8992          | {'f1': 0.8280746941403735} | {'accuracy': 0.7440076701821668} |
| 0.0748        | 804.0  | 322404 | 1.6148          | {'f1': 0.8312863606981254} | {'accuracy': 0.7497603068072867} |
| 0.0797        | 805.0  | 322805 | 1.3771          | {'f1': 0.8356867779204109} | {'accuracy': 0.7545541706615532} |
| 0.0721        | 806.0  | 323206 | 1.5460          | {'f1': 0.8330109606705353} | {'accuracy': 0.7516778523489933} |
| 0.0693        | 807.0  | 323607 | 1.7683          | {'f1': 0.8272785213511792} | {'accuracy': 0.7401725790987536} |
| 0.0734        | 808.0  | 324008 | 1.7284          | {'f1': 0.8343868520859672} | {'accuracy': 0.7488015340364333} |
| 0.0734        | 809.0  | 324409 | 1.7552          | {'f1': 0.8250000000000001} | {'accuracy': 0.7449664429530202} |
| 0.0726        | 810.0  | 324810 | 1.5678          | {'f1': 0.8229915088177661} | {'accuracy': 0.7401725790987536} |
| 0.0647        | 811.0  | 325211 | 1.6043          | {'f1': 0.8272785213511792} | {'accuracy': 0.7401725790987536} |
| 0.0754        | 812.0  | 325612 | 1.6840          | {'f1': 0.8125819134993446} | {'accuracy': 0.725790987535954}  |
| 0.077         | 813.0  | 326013 | 1.5881          | {'f1': 0.8249027237354086} | {'accuracy': 0.7411313518696069} |
| 0.077         | 814.0  | 326414 | 1.6091          | {'f1': 0.8333333333333333} | {'accuracy': 0.7488015340364333} |
| 0.078         | 815.0  | 326815 | 1.7158          | {'f1': 0.8260309278350516} | {'accuracy': 0.7411313518696069} |
| 0.0789        | 816.0  | 327216 | 1.8127          | {'f1': 0.8245161290322582} | {'accuracy': 0.7392138063279002} |
| 0.0821        | 817.0  | 327617 | 1.5526          | {'f1': 0.829329962073325}  | {'accuracy': 0.7411313518696069} |
| 0.1066        | 818.0  | 328018 | 1.6369          | {'f1': 0.8274111675126904} | {'accuracy': 0.7392138063279002} |
| 0.1066        | 819.0  | 328419 | 1.7155          | {'f1': 0.8248877485567673} | {'accuracy': 0.738255033557047}  |
| 0.0833        | 820.0  | 328820 | 1.7906          | {'f1': 0.8295819935691318} | {'accuracy': 0.7459252157238735} |
| 0.0677        | 821.0  | 329221 | 1.6698          | {'f1': 0.8154450261780103} | {'accuracy': 0.7296260786193672} |
| 0.0567        | 822.0  | 329622 | 1.6616          | {'f1': 0.8149117069980378} | {'accuracy': 0.7286673058485139} |
| 0.0696        | 823.0  | 330023 | 1.7480          | {'f1': 0.8207792207792208} | {'accuracy': 0.7353787152444871} |
| 0.0696        | 824.0  | 330424 | 1.7021          | {'f1': 0.832901554404145}  | {'accuracy': 0.7526366251198466} |
| 0.0637        | 825.0  | 330825 | 1.8576          | {'f1': 0.8306148055207027} | {'accuracy': 0.7411313518696069} |
| 0.0622        | 826.0  | 331226 | 1.7855          | {'f1': 0.827852998065764}  | {'accuracy': 0.7440076701821668} |
| 0.0616        | 827.0  | 331627 | 1.8058          | {'f1': 0.8320610687022901} | {'accuracy': 0.7468839884947267} |
| 0.0669        | 828.0  | 332028 | 1.8788          | {'f1': 0.8277602523659306} | {'accuracy': 0.738255033557047}  |
| 0.0669        | 829.0  | 332429 | 1.5044          | {'f1': 0.8311688311688312} | {'accuracy': 0.738255033557047}  |
| 0.0735        | 830.0  | 332830 | 1.6616          | {'f1': 0.8247291268323773} | {'accuracy': 0.7363374880153404} |
| 0.0731        | 831.0  | 333231 | 1.5163          | {'f1': 0.8346951602765557} | {'accuracy': 0.74784276126558}   |
| 0.0852        | 832.0  | 333632 | 1.6763          | {'f1': 0.8274984086569064} | {'accuracy': 0.7401725790987536} |
| 0.0841        | 833.0  | 334033 | 1.6479          | {'f1': 0.8199481865284975} | {'accuracy': 0.7334611697027804} |
| 0.0841        | 834.0  | 334434 | 1.5210          | {'f1': 0.8219527760051053} | {'accuracy': 0.7325023969319271} |
| 0.0737        | 835.0  | 334835 | 1.9015          | {'f1': 0.8304239401496261} | {'accuracy': 0.7392138063279002} |
| 0.0719        | 836.0  | 335236 | 1.4411          | {'f1': 0.8322663252240717} | {'accuracy': 0.7488015340364333} |
| 0.0707        | 837.0  | 335637 | 1.7897          | {'f1': 0.829854522454143}  | {'accuracy': 0.7420901246404602} |
| 0.0647        | 838.0  | 336038 | 1.9601          | {'f1': 0.8256410256410257} | {'accuracy': 0.7392138063279002} |
| 0.0647        | 839.0  | 336439 | 1.8775          | {'f1': 0.8143712574850299} | {'accuracy': 0.7325023969319271} |
| 0.064         | 840.0  | 336840 | 1.8816          | {'f1': 0.8291746641074856} | {'accuracy': 0.7440076701821668} |
| 0.0561        | 841.0  | 337241 | 1.7983          | {'f1': 0.8376830044557607} | {'accuracy': 0.7555129434324065} |
| 0.0655        | 842.0  | 337642 | 1.8836          | {'f1': 0.821882951653944}  | {'accuracy': 0.7315436241610739} |
| 0.0692        | 843.0  | 338043 | 1.8478          | {'f1': 0.8270580727504787} | {'accuracy': 0.7401725790987536} |
| 0.0692        | 844.0  | 338444 | 1.4446          | {'f1': 0.8396756082345601} | {'accuracy': 0.7535953978907}    |
| 0.0663        | 845.0  | 338845 | 1.5658          | {'f1': 0.8411689961880559} | {'accuracy': 0.7603068072866731} |
| 0.0586        | 846.0  | 339246 | 1.8865          | {'f1': 0.8326018808777429} | {'accuracy': 0.7440076701821668} |
| 0.0552        | 847.0  | 339647 | 1.7858          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0584        | 848.0  | 340048 | 1.8641          | {'f1': 0.8172757475083057} | {'accuracy': 0.7363374880153404} |
| 0.0584        | 849.0  | 340449 | 1.7978          | {'f1': 0.8275862068965517} | {'accuracy': 0.7363374880153404} |
| 0.0625        | 850.0  | 340850 | 1.8177          | {'f1': 0.8295165394402036} | {'accuracy': 0.7430488974113135} |
| 0.0642        | 851.0  | 341251 | 1.9229          | {'f1': 0.8292367399741268} | {'accuracy': 0.7468839884947267} |
| 0.0645        | 852.0  | 341652 | 1.6049          | {'f1': 0.8313878080415046} | {'accuracy': 0.75071907957814}   |
| 0.0646        | 853.0  | 342053 | 1.7828          | {'f1': 0.8364336112892881} | {'accuracy': 0.7555129434324065} |
| 0.0646        | 854.0  | 342454 | 1.6165          | {'f1': 0.8317089018843405} | {'accuracy': 0.7516778523489933} |
| 0.065         | 855.0  | 342855 | 1.4540          | {'f1': 0.8247694334650855} | {'accuracy': 0.7449664429530202} |
| 0.0627        | 856.0  | 343256 | 1.7338          | {'f1': 0.8290816326530612} | {'accuracy': 0.7430488974113135} |
| 0.0554        | 857.0  | 343657 | 1.6253          | {'f1': 0.8222365869424694} | {'accuracy': 0.7363374880153404} |
| 0.0682        | 858.0  | 344058 | 1.8193          | {'f1': 0.8330206378986866} | {'accuracy': 0.7440076701821668} |
| 0.0682        | 859.0  | 344459 | 1.7752          | {'f1': 0.8175937904269082} | {'accuracy': 0.7296260786193672} |
| 0.0645        | 860.0  | 344860 | 1.9225          | {'f1': 0.8244372990353698} | {'accuracy': 0.738255033557047}  |
| 0.0672        | 861.0  | 345261 | 2.0787          | {'f1': 0.8221649484536082} | {'accuracy': 0.7353787152444871} |
| 0.0587        | 862.0  | 345662 | 1.6293          | {'f1': 0.8153946510110893} | {'accuracy': 0.7286673058485139} |
| 0.0616        | 863.0  | 346063 | 1.6871          | {'f1': 0.8169200264375412} | {'accuracy': 0.7344199424736337} |
| 0.0616        | 864.0  | 346464 | 1.7080          | {'f1': 0.8208386277001269} | {'accuracy': 0.7296260786193672} |
| 0.0727        | 865.0  | 346865 | 1.9486          | {'f1': 0.8154450261780103} | {'accuracy': 0.7296260786193672} |
| 0.0558        | 866.0  | 347266 | 1.7920          | {'f1': 0.8236048749198204} | {'accuracy': 0.7363374880153404} |
| 0.0727        | 867.0  | 347667 | 1.8969          | {'f1': 0.829800899165061}  | {'accuracy': 0.7459252157238735} |
| 0.0619        | 868.0  | 348068 | 1.8038          | {'f1': 0.8256410256410257} | {'accuracy': 0.7392138063279002} |
| 0.0619        | 869.0  | 348469 | 1.5003          | {'f1': 0.8296390120329322} | {'accuracy': 0.7420901246404602} |
| 0.0736        | 870.0  | 348870 | 1.7518          | {'f1': 0.827319587628866}  | {'accuracy': 0.7430488974113135} |
| 0.0617        | 871.0  | 349271 | 1.8904          | {'f1': 0.8250484183344092} | {'accuracy': 0.7401725790987536} |
| 0.0527        | 872.0  | 349672 | 2.0348          | {'f1': 0.8282323547782636} | {'accuracy': 0.7363374880153404} |
| 0.0529        | 873.0  | 350073 | 1.7659          | {'f1': 0.8319697923222151} | {'accuracy': 0.7440076701821668} |
| 0.0529        | 874.0  | 350474 | 1.5533          | {'f1': 0.8315321042593768} | {'accuracy': 0.7459252157238735} |
| 0.0734        | 875.0  | 350875 | 1.9291          | {'f1': 0.8331226295828066} | {'accuracy': 0.7468839884947267} |
| 0.0665        | 876.0  | 351276 | 1.8267          | {'f1': 0.8384663733500944} | {'accuracy': 0.7535953978907}    |
| 0.0563        | 877.0  | 351677 | 1.7734          | {'f1': 0.8258642765685019} | {'accuracy': 0.7392138063279002} |
| 0.0673        | 878.0  | 352078 | 1.8179          | {'f1': 0.8166776968894771} | {'accuracy': 0.7344199424736337} |
| 0.0673        | 879.0  | 352479 | 1.9985          | {'f1': 0.8321722609246357} | {'accuracy': 0.7459252157238735} |
| 0.0518        | 880.0  | 352880 | 1.9234          | {'f1': 0.8250950570342205} | {'accuracy': 0.7353787152444871} |
| 0.0659        | 881.0  | 353281 | 1.6614          | {'f1': 0.8284789644012944} | {'accuracy': 0.7459252157238735} |
| 0.0669        | 882.0  | 353682 | 1.9936          | {'f1': 0.8304761904761905} | {'accuracy': 0.7440076701821668} |
| 0.0537        | 883.0  | 354083 | 1.7532          | {'f1': 0.8242894056847546} | {'accuracy': 0.7392138063279002} |
| 0.0537        | 884.0  | 354484 | 1.7972          | {'f1': 0.8219895287958114} | {'accuracy': 0.7392138063279002} |
| 0.05          | 885.0  | 354885 | 1.8771          | {'f1': 0.8316195372750643} | {'accuracy': 0.7488015340364333} |
| 0.058         | 886.0  | 355286 | 1.5124          | {'f1': 0.8170491803278688} | {'accuracy': 0.7325023969319271} |
| 0.0608        | 887.0  | 355687 | 1.7311          | {'f1': 0.8195439739413681} | {'accuracy': 0.7344199424736337} |
| 0.0643        | 888.0  | 356088 | 1.9484          | {'f1': 0.8275426405559065} | {'accuracy': 0.738255033557047}  |
| 0.0643        | 889.0  | 356489 | 2.0468          | {'f1': 0.8303341902313626} | {'accuracy': 0.7468839884947267} |
| 0.0585        | 890.0  | 356890 | 1.8950          | {'f1': 0.8176431863067807} | {'accuracy': 0.7344199424736337} |
| 0.0602        | 891.0  | 357291 | 1.7136          | {'f1': 0.8262548262548263} | {'accuracy': 0.7411313518696069} |
| 0.0645        | 892.0  | 357692 | 1.6685          | {'f1': 0.8278021289918598} | {'accuracy': 0.7363374880153404} |
| 0.0608        | 893.0  | 358093 | 1.9667          | {'f1': 0.8268015170670038} | {'accuracy': 0.7372962607861937} |
| 0.0608        | 894.0  | 358494 | 2.0337          | {'f1': 0.8335435056746532} | {'accuracy': 0.7468839884947267} |
| 0.0496        | 895.0  | 358895 | 1.8688          | {'f1': 0.8263933376041}    | {'accuracy': 0.7401725790987536} |
| 0.0577        | 896.0  | 359296 | 1.9173          | {'f1': 0.8255591054313098} | {'accuracy': 0.738255033557047}  |
| 0.0619        | 897.0  | 359697 | 1.7351          | {'f1': 0.8244372990353698} | {'accuracy': 0.738255033557047}  |
| 0.0627        | 898.0  | 360098 | 2.0481          | {'f1': 0.8259773013871374} | {'accuracy': 0.7353787152444871} |
| 0.0627        | 899.0  | 360499 | 1.8965          | {'f1': 0.8181818181818181} | {'accuracy': 0.7315436241610739} |
| 0.0618        | 900.0  | 360900 | 2.1470          | {'f1': 0.8351920693928129} | {'accuracy': 0.7449664429530202} |
| 0.053         | 901.0  | 361301 | 2.0562          | {'f1': 0.826115061409179}  | {'accuracy': 0.7420901246404602} |
| 0.0549        | 902.0  | 361702 | 1.9612          | {'f1': 0.8132450331125828} | {'accuracy': 0.7296260786193672} |
| 0.0565        | 903.0  | 362103 | 2.0500          | {'f1': 0.835633626097867}  | {'accuracy': 0.7488015340364333} |
| 0.0588        | 904.0  | 362504 | 1.9129          | {'f1': 0.8224061107574794} | {'accuracy': 0.7325023969319271} |
| 0.0588        | 905.0  | 362905 | 1.9839          | {'f1': 0.8202824133504493} | {'accuracy': 0.7315436241610739} |
| 0.063         | 906.0  | 363306 | 1.7871          | {'f1': 0.8116710875331565} | {'accuracy': 0.7277085330776606} |
| 0.047         | 907.0  | 363707 | 2.1950          | {'f1': 0.8220392653578215} | {'accuracy': 0.7305848513902206} |
| 0.0532        | 908.0  | 364108 | 1.7760          | {'f1': 0.8233034571062741} | {'accuracy': 0.7353787152444871} |
| 0.0612        | 909.0  | 364509 | 2.0076          | {'f1': 0.8252551020408163} | {'accuracy': 0.7372962607861937} |
| 0.0612        | 910.0  | 364910 | 1.9677          | {'f1': 0.8255959849435383} | {'accuracy': 0.7334611697027804} |
| 0.0478        | 911.0  | 365311 | 2.1461          | {'f1': 0.8176656151419559} | {'accuracy': 0.7229146692233941} |
| 0.0466        | 912.0  | 365712 | 1.8738          | {'f1': 0.8213367609254499} | {'accuracy': 0.7334611697027804} |
| 0.0579        | 913.0  | 366113 | 2.3373          | {'f1': 0.8294815740162399} | {'accuracy': 0.738255033557047}  |
| 0.054         | 914.0  | 366514 | 1.7232          | {'f1': 0.8282051282051283} | {'accuracy': 0.7430488974113135} |
| 0.054         | 915.0  | 366915 | 2.0443          | {'f1': 0.8259473346178547} | {'accuracy': 0.7401725790987536} |
| 0.05          | 916.0  | 367316 | 1.5183          | {'f1': 0.8142292490118578} | {'accuracy': 0.7296260786193672} |
| 0.0539        | 917.0  | 367717 | 1.7512          | {'f1': 0.8329048843187661} | {'accuracy': 0.75071907957814}   |
| 0.0563        | 918.0  | 368118 | 1.9875          | {'f1': 0.8280254777070063} | {'accuracy': 0.7411313518696069} |
| 0.0437        | 919.0  | 368519 | 1.8267          | {'f1': 0.8324808184143223} | {'accuracy': 0.7488015340364333} |
| 0.0437        | 920.0  | 368920 | 2.0118          | {'f1': 0.8289218850871531} | {'accuracy': 0.7459252157238735} |
| 0.047         | 921.0  | 369321 | 1.6547          | {'f1': 0.8242038216560509} | {'accuracy': 0.7353787152444871} |
| 0.0593        | 922.0  | 369722 | 1.5575          | {'f1': 0.8311195445920303} | {'accuracy': 0.7440076701821668} |
| 0.0473        | 923.0  | 370123 | 1.8466          | {'f1': 0.8326898326898327} | {'accuracy': 0.75071907957814}   |
| 0.0468        | 924.0  | 370524 | 1.9781          | {'f1': 0.8302606484424666} | {'accuracy': 0.7440076701821668} |
| 0.0468        | 925.0  | 370925 | 1.9146          | {'f1': 0.833756345177665}  | {'accuracy': 0.7488015340364333} |
| 0.0596        | 926.0  | 371326 | 1.9570          | {'f1': 0.8186528497409328} | {'accuracy': 0.7315436241610739} |
| 0.0518        | 927.0  | 371727 | 1.9638          | {'f1': 0.8305941845764855} | {'accuracy': 0.7430488974113135} |
| 0.0513        | 928.0  | 372128 | 1.9971          | {'f1': 0.8241206030150754} | {'accuracy': 0.7315436241610739} |
| 0.0566        | 929.0  | 372529 | 1.7928          | {'f1': 0.8322903629536921} | {'accuracy': 0.7430488974113135} |
| 0.0566        | 930.0  | 372930 | 2.0826          | {'f1': 0.8288288288288289} | {'accuracy': 0.7449664429530202} |
| 0.0446        | 931.0  | 373331 | 1.8652          | {'f1': 0.8330206378986866} | {'accuracy': 0.7440076701821668} |
| 0.0505        | 932.0  | 373732 | 2.0375          | {'f1': 0.8231511254019293} | {'accuracy': 0.7363374880153404} |
| 0.0573        | 933.0  | 374133 | 1.9296          | {'f1': 0.8267868641339344} | {'accuracy': 0.7420901246404602} |
| 0.0512        | 934.0  | 374534 | 1.7201          | {'f1': 0.8272318561335902} | {'accuracy': 0.7420901246404602} |
| 0.0512        | 935.0  | 374935 | 1.8283          | {'f1': 0.8269105160026127} | {'accuracy': 0.7459252157238735} |
| 0.0496        | 936.0  | 375336 | 1.8695          | {'f1': 0.8302370275464446} | {'accuracy': 0.7459252157238735} |
| 0.0506        | 937.0  | 375737 | 1.8224          | {'f1': 0.8363636363636364} | {'accuracy': 0.7497603068072867} |
| 0.0507        | 938.0  | 376138 | 1.4660          | {'f1': 0.8222365869424694} | {'accuracy': 0.7363374880153404} |
| 0.0468        | 939.0  | 376539 | 1.7886          | {'f1': 0.8268229166666667} | {'accuracy': 0.7449664429530202} |
| 0.0468        | 940.0  | 376940 | 1.6891          | {'f1': 0.8278481012658229} | {'accuracy': 0.7392138063279002} |
| 0.0502        | 941.0  | 377341 | 1.8587          | {'f1': 0.8294871794871795} | {'accuracy': 0.7449664429530202} |
| 0.0555        | 942.0  | 377742 | 1.6288          | {'f1': 0.8283870967741936} | {'accuracy': 0.7449664429530202} |
| 0.0552        | 943.0  | 378143 | 1.8918          | {'f1': 0.8338557993730408} | {'accuracy': 0.7459252157238735} |
| 0.0484        | 944.0  | 378544 | 1.6034          | {'f1': 0.8348045397225725} | {'accuracy': 0.7488015340364333} |
| 0.0484        | 945.0  | 378945 | 1.6004          | {'f1': 0.8313176320814768} | {'accuracy': 0.7459252157238735} |
| 0.0449        | 946.0  | 379346 | 1.7327          | {'f1': 0.8247422680412371} | {'accuracy': 0.7392138063279002} |
| 0.0547        | 947.0  | 379747 | 1.7965          | {'f1': 0.8366583541147131} | {'accuracy': 0.7488015340364333} |
| 0.0589        | 948.0  | 380148 | 1.8772          | {'f1': 0.8312342569269522} | {'accuracy': 0.7430488974113135} |
| 0.0467        | 949.0  | 380549 | 1.8667          | {'f1': 0.8309859154929577} | {'accuracy': 0.7468839884947267} |
| 0.0467        | 950.0  | 380950 | 1.7300          | {'f1': 0.8239116309291746} | {'accuracy': 0.7401725790987536} |
| 0.0531        | 951.0  | 381351 | 1.7394          | {'f1': 0.8316062176165803} | {'accuracy': 0.75071907957814}   |
| 0.0549        | 952.0  | 381752 | 1.7380          | {'f1': 0.8256880733944955} | {'accuracy': 0.7449664429530202} |
| 0.0546        | 953.0  | 382153 | 1.6837          | {'f1': 0.8263624841571611} | {'accuracy': 0.7372962607861937} |
| 0.0494        | 954.0  | 382554 | 1.7504          | {'f1': 0.8331193838254173} | {'accuracy': 0.75071907957814}   |
| 0.0494        | 955.0  | 382955 | 1.4391          | {'f1': 0.8391608391608393} | {'accuracy': 0.7574304889741131} |
| 0.0475        | 956.0  | 383356 | 1.9422          | {'f1': 0.8336495888678052} | {'accuracy': 0.74784276126558}   |
| 0.0422        | 957.0  | 383757 | 1.7187          | {'f1': 0.8315926892950393} | {'accuracy': 0.7526366251198466} |
| 0.0509        | 958.0  | 384158 | 1.8770          | {'f1': 0.8409090909090908} | {'accuracy': 0.7583892617449665} |
| 0.0477        | 959.0  | 384559 | 1.8478          | {'f1': 0.8409090909090908} | {'accuracy': 0.7583892617449665} |
| 0.0477        | 960.0  | 384960 | 1.9650          | {'f1': 0.8310854206807964} | {'accuracy': 0.74784276126558}   |
| 0.0491        | 961.0  | 385361 | 1.4039          | {'f1': 0.8290488431876606} | {'accuracy': 0.7449664429530202} |
| 0.0539        | 962.0  | 385762 | 1.3723          | {'f1': 0.841640378548896}  | {'accuracy': 0.7593480345158198} |
| 0.0592        | 963.0  | 386163 | 1.8567          | {'f1': 0.8410636982065552} | {'accuracy': 0.7535953978907}    |
| 0.0498        | 964.0  | 386564 | 1.8637          | {'f1': 0.826530612244898}  | {'accuracy': 0.7392138063279002} |
| 0.0498        | 965.0  | 386965 | 1.9139          | {'f1': 0.8291457286432161} | {'accuracy': 0.7392138063279002} |
| 0.0644        | 966.0  | 387366 | 2.2817          | {'f1': 0.8256997455470738} | {'accuracy': 0.7372962607861937} |
| 0.0537        | 967.0  | 387767 | 1.7303          | {'f1': 0.8210116731517509} | {'accuracy': 0.7353787152444871} |
| 0.0514        | 968.0  | 388168 | 1.9495          | {'f1': 0.8285714285714286} | {'accuracy': 0.7468839884947267} |
| 0.0562        | 969.0  | 388569 | 2.0382          | {'f1': 0.8236808236808237} | {'accuracy': 0.7372962607861937} |
| 0.0562        | 970.0  | 388970 | 2.0543          | {'f1': 0.8268370607028754} | {'accuracy': 0.7401725790987536} |
| 0.0499        | 971.0  | 389371 | 1.5281          | {'f1': 0.8199335548172757} | {'accuracy': 0.7401725790987536} |
| 0.0509        | 972.0  | 389772 | 2.0791          | {'f1': 0.8371802869619464} | {'accuracy': 0.7497603068072867} |
| 0.0533        | 973.0  | 390173 | 1.8903          | {'f1': 0.834902699309479}  | {'accuracy': 0.74784276126558}   |
| 0.0627        | 974.0  | 390574 | 1.6441          | {'f1': 0.8245054243777918} | {'accuracy': 0.7363374880153404} |
| 0.0627        | 975.0  | 390975 | 1.8095          | {'f1': 0.8326848249027238} | {'accuracy': 0.7526366251198466} |
| 0.053         | 976.0  | 391376 | 1.5973          | {'f1': 0.8221498371335504} | {'accuracy': 0.738255033557047}  |
| 0.0483        | 977.0  | 391777 | 1.7779          | {'f1': 0.8310387984981228} | {'accuracy': 0.7411313518696069} |
| 0.0508        | 978.0  | 392178 | 1.9869          | {'f1': 0.8371802869619464} | {'accuracy': 0.7497603068072867} |
| 0.0461        | 979.0  | 392579 | 1.8451          | {'f1': 0.8415164698570541} | {'accuracy': 0.7555129434324065} |
| 0.0461        | 980.0  | 392980 | 1.9804          | {'f1': 0.8317698561601}    | {'accuracy': 0.7420901246404602} |
| 0.0474        | 981.0  | 393381 | 1.8535          | {'f1': 0.8329113924050634} | {'accuracy': 0.7468839884947267} |
| 0.0432        | 982.0  | 393782 | 1.7515          | {'f1': 0.8283485045513654} | {'accuracy': 0.7468839884947267} |
| 0.0404        | 983.0  | 394183 | 1.8558          | {'f1': 0.8338637810311904} | {'accuracy': 0.7497603068072867} |
| 0.0459        | 984.0  | 394584 | 1.8568          | {'f1': 0.8160103292446741} | {'accuracy': 0.7267497603068073} |
| 0.0459        | 985.0  | 394985 | 2.0867          | {'f1': 0.8314321926489228} | {'accuracy': 0.7449664429530202} |
| 0.0537        | 986.0  | 395386 | 1.8685          | {'f1': 0.8228423101881894} | {'accuracy': 0.738255033557047}  |
| 0.0459        | 987.0  | 395787 | 1.8398          | {'f1': 0.8324808184143223} | {'accuracy': 0.7488015340364333} |
| 0.0473        | 988.0  | 396188 | 1.8249          | {'f1': 0.8293625241468126} | {'accuracy': 0.7459252157238735} |
| 0.0376        | 989.0  | 396589 | 1.8981          | {'f1': 0.8330134357005758} | {'accuracy': 0.7497603068072867} |
| 0.0376        | 990.0  | 396990 | 1.8566          | {'f1': 0.8285163776493256} | {'accuracy': 0.7440076701821668} |
| 0.0515        | 991.0  | 397391 | 2.0520          | {'f1': 0.8168089297439263} | {'accuracy': 0.7325023969319271} |
| 0.0473        | 992.0  | 397792 | 1.9624          | {'f1': 0.831824062095731}  | {'accuracy': 0.75071907957814}   |
| 0.0448        | 993.0  | 398193 | 1.7534          | {'f1': 0.836223506743738}  | {'accuracy': 0.7555129434324065} |
| 0.051         | 994.0  | 398594 | 1.9407          | {'f1': 0.8350383631713555} | {'accuracy': 0.7526366251198466} |
| 0.051         | 995.0  | 398995 | 2.0456          | {'f1': 0.8267008985879333} | {'accuracy': 0.7411313518696069} |
| 0.0401        | 996.0  | 399396 | 1.8936          | {'f1': 0.8354430379746837} | {'accuracy': 0.75071907957814}   |
| 0.0417        | 997.0  | 399797 | 2.1521          | {'f1': 0.8291457286432161} | {'accuracy': 0.7392138063279002} |
| 0.0474        | 998.0  | 400198 | 1.8679          | {'f1': 0.8367088607594937} | {'accuracy': 0.7526366251198466} |
| 0.0422        | 999.0  | 400599 | 1.8171          | {'f1': 0.8284789644012944} | {'accuracy': 0.7459252157238735} |
| 0.0387        | 1000.0 | 401000 | 2.0479          | {'f1': 0.8294573643410853} | {'accuracy': 0.7468839884947267} |
| 0.0387        | 1001.0 | 401401 | 1.9655          | {'f1': 0.8349267049075845} | {'accuracy': 0.7516778523489933} |
| 0.0399        | 1002.0 | 401802 | 1.9896          | {'f1': 0.8336544637122671} | {'accuracy': 0.7516778523489933} |
| 0.0401        | 1003.0 | 402203 | 2.0996          | {'f1': 0.8303341902313626} | {'accuracy': 0.7468839884947267} |
| 0.0447        | 1004.0 | 402604 | 1.9362          | {'f1': 0.8347055098163394} | {'accuracy': 0.7497603068072867} |
| 0.0459        | 1005.0 | 403005 | 1.9017          | {'f1': 0.8260309278350516} | {'accuracy': 0.7411313518696069} |
| 0.0459        | 1006.0 | 403406 | 1.9982          | {'f1': 0.8391521197007481} | {'accuracy': 0.7526366251198466} |
| 0.0414        | 1007.0 | 403807 | 1.8253          | {'f1': 0.834726688102894}  | {'accuracy': 0.7535953978907}    |
| 0.0454        | 1008.0 | 404208 | 1.5382          | {'f1': 0.8425096030729833} | {'accuracy': 0.7641418983700863} |
| 0.0496        | 1009.0 | 404609 | 2.0139          | {'f1': 0.8321543408360128} | {'accuracy': 0.7497603068072867} |
| 0.0397        | 1010.0 | 405010 | 1.9407          | {'f1': 0.8230719377835385} | {'accuracy': 0.738255033557047}  |
| 0.0397        | 1011.0 | 405411 | 2.3346          | {'f1': 0.8286445012787724} | {'accuracy': 0.7430488974113135} |
| 0.0351        | 1012.0 | 405812 | 2.2790          | {'f1': 0.8296668761785041} | {'accuracy': 0.7401725790987536} |
| 0.0371        | 1013.0 | 406213 | 2.1803          | {'f1': 0.8155981493721084} | {'accuracy': 0.7325023969319271} |
| 0.0386        | 1014.0 | 406614 | 2.0979          | {'f1': 0.8133595284872297} | {'accuracy': 0.7267497603068073} |
| 0.0378        | 1015.0 | 407015 | 2.3163          | {'f1': 0.8133595284872297} | {'accuracy': 0.7267497603068073} |
| 0.0378        | 1016.0 | 407416 | 1.5949          | {'f1': 0.8145695364238411} | {'accuracy': 0.7315436241610739} |
| 0.0396        | 1017.0 | 407817 | 2.0203          | {'f1': 0.8380716934487022} | {'accuracy': 0.7488015340364333} |
| 0.0422        | 1018.0 | 408218 | 1.4970          | {'f1': 0.8274078862314156} | {'accuracy': 0.7440076701821668} |
| 0.0427        | 1019.0 | 408619 | 1.7483          | {'f1': 0.8308295231874592} | {'accuracy': 0.7516778523489933} |
| 0.0419        | 1020.0 | 409020 | 1.9940          | {'f1': 0.8418399495904222} | {'accuracy': 0.7593480345158198} |
| 0.0419        | 1021.0 | 409421 | 1.9882          | {'f1': 0.8311026131293818} | {'accuracy': 0.7459252157238735} |
| 0.0458        | 1022.0 | 409822 | 2.1333          | {'f1': 0.8312182741116751} | {'accuracy': 0.7449664429530202} |
| 0.0361        | 1023.0 | 410223 | 2.0099          | {'f1': 0.8260869565217391} | {'accuracy': 0.7392138063279002} |
| 0.0426        | 1024.0 | 410624 | 2.4057          | {'f1': 0.8315182575272262} | {'accuracy': 0.74784276126558}   |
| 0.0366        | 1025.0 | 411025 | 1.8517          | {'f1': 0.8339719029374203} | {'accuracy': 0.75071907957814}   |
| 0.0366        | 1026.0 | 411426 | 1.9566          | {'f1': 0.8303571428571429} | {'accuracy': 0.7449664429530202} |
| 0.0445        | 1027.0 | 411827 | 1.9391          | {'f1': 0.8300445576066201} | {'accuracy': 0.7440076701821668} |
| 0.0375        | 1028.0 | 412228 | 1.7986          | {'f1': 0.8306503541532518} | {'accuracy': 0.74784276126558}   |
| 0.0482        | 1029.0 | 412629 | 2.2600          | {'f1': 0.8169200264375412} | {'accuracy': 0.7344199424736337} |
| 0.0417        | 1030.0 | 413030 | 1.9349          | {'f1': 0.8308870453095086} | {'accuracy': 0.7459252157238735} |
| 0.0417        | 1031.0 | 413431 | 1.8199          | {'f1': 0.8260869565217391} | {'accuracy': 0.7392138063279002} |
| 0.0434        | 1032.0 | 413832 | 1.8392          | {'f1': 0.8267868641339344} | {'accuracy': 0.7420901246404602} |
| 0.0378        | 1033.0 | 414233 | 2.0467          | {'f1': 0.8287363694676073} | {'accuracy': 0.7440076701821668} |
| 0.0478        | 1034.0 | 414634 | 1.9830          | {'f1': 0.8338637810311904} | {'accuracy': 0.7497603068072867} |
| 0.044         | 1035.0 | 415035 | 2.0118          | {'f1': 0.8354430379746837} | {'accuracy': 0.75071907957814}   |
| 0.044         | 1036.0 | 415436 | 1.8267          | {'f1': 0.8259740259740261} | {'accuracy': 0.7430488974113135} |
| 0.0452        | 1037.0 | 415837 | 2.1524          | {'f1': 0.8294815740162399} | {'accuracy': 0.738255033557047}  |
| 0.0401        | 1038.0 | 416238 | 2.1791          | {'f1': 0.8253968253968254} | {'accuracy': 0.7363374880153404} |
| 0.0324        | 1039.0 | 416639 | 2.0126          | {'f1': 0.824952259707193}  | {'accuracy': 0.7363374880153404} |
| 0.0424        | 1040.0 | 417040 | 2.0584          | {'f1': 0.8207792207792208} | {'accuracy': 0.7353787152444871} |
| 0.0424        | 1041.0 | 417441 | 2.0091          | {'f1': 0.8282958199356913} | {'accuracy': 0.7440076701821668} |
| 0.0399        | 1042.0 | 417842 | 1.7455          | {'f1': 0.8360864040660737} | {'accuracy': 0.7526366251198466} |
| 0.0385        | 1043.0 | 418243 | 2.2168          | {'f1': 0.8326898326898327} | {'accuracy': 0.75071907957814}   |
| 0.0413        | 1044.0 | 418644 | 2.0400          | {'f1': 0.8279845956354299} | {'accuracy': 0.7430488974113135} |
| 0.0441        | 1045.0 | 419045 | 2.1525          | {'f1': 0.8292063492063492} | {'accuracy': 0.7420901246404602} |
| 0.0441        | 1046.0 | 419446 | 2.0888          | {'f1': 0.8279009126466753} | {'accuracy': 0.7468839884947267} |
| 0.0458        | 1047.0 | 419847 | 1.8725          | {'f1': 0.8346253229974161} | {'accuracy': 0.7545541706615532} |
| 0.0491        | 1048.0 | 420248 | 1.7848          | {'f1': 0.8342857142857142} | {'accuracy': 0.7497603068072867} |
| 0.0415        | 1049.0 | 420649 | 2.0577          | {'f1': 0.8252740167633785} | {'accuracy': 0.7401725790987536} |
| 0.0401        | 1050.0 | 421050 | 1.8128          | {'f1': 0.8284625158831004} | {'accuracy': 0.7411313518696069} |
| 0.0401        | 1051.0 | 421451 | 2.0074          | {'f1': 0.824952259707193}  | {'accuracy': 0.7363374880153404} |
| 0.0366        | 1052.0 | 421852 | 2.1711          | {'f1': 0.8292993630573249} | {'accuracy': 0.7430488974113135} |
| 0.0438        | 1053.0 | 422253 | 1.8598          | {'f1': 0.8210116731517509} | {'accuracy': 0.7353787152444871} |
| 0.046         | 1054.0 | 422654 | 1.7502          | {'f1': 0.8323699421965319} | {'accuracy': 0.7497603068072867} |
| 0.0445        | 1055.0 | 423055 | 1.9086          | {'f1': 0.8385876418663304} | {'accuracy': 0.7545541706615532} |
| 0.0445        | 1056.0 | 423456 | 1.8675          | {'f1': 0.8268082282680823} | {'accuracy': 0.7497603068072867} |
| 0.0435        | 1057.0 | 423857 | 1.8161          | {'f1': 0.8331143232588699} | {'accuracy': 0.7564717162032598} |
| 0.0406        | 1058.0 | 424258 | 2.0120          | {'f1': 0.8375634517766497} | {'accuracy': 0.7545541706615532} |
| 0.0383        | 1059.0 | 424659 | 1.7243          | {'f1': 0.8424396442185516} | {'accuracy': 0.7622243528283796} |
| 0.0458        | 1060.0 | 425060 | 2.0215          | {'f1': 0.8415716096324461} | {'accuracy': 0.7603068072866731} |
| 0.0458        | 1061.0 | 425461 | 1.9361          | {'f1': 0.8279499011206328} | {'accuracy': 0.7497603068072867} |
| 0.0402        | 1062.0 | 425862 | 2.1046          | {'f1': 0.8374760994263862} | {'accuracy': 0.7555129434324065} |
| 0.0272        | 1063.0 | 426263 | 2.0315          | {'f1': 0.8340750158931978} | {'accuracy': 0.7497603068072867} |
| 0.0475        | 1064.0 | 426664 | 2.1408          | {'f1': 0.8339622641509433} | {'accuracy': 0.7468839884947267} |
| 0.0327        | 1065.0 | 427065 | 1.7846          | {'f1': 0.8300907911802854} | {'accuracy': 0.7488015340364333} |
| 0.0327        | 1066.0 | 427466 | 2.0336          | {'f1': 0.8316195372750643} | {'accuracy': 0.7488015340364333} |
| 0.0417        | 1067.0 | 427867 | 2.1308          | {'f1': 0.8266666666666668} | {'accuracy': 0.738255033557047}  |
| 0.0427        | 1068.0 | 428268 | 1.8253          | {'f1': 0.8303571428571429} | {'accuracy': 0.7449664429530202} |
| 0.038         | 1069.0 | 428669 | 1.9140          | {'f1': 0.8255591054313098} | {'accuracy': 0.738255033557047}  |
| 0.0409        | 1070.0 | 429070 | 2.3088          | {'f1': 0.8303797468354431} | {'accuracy': 0.7430488974113135} |
| 0.0409        | 1071.0 | 429471 | 2.2927          | {'f1': 0.8332276474318325} | {'accuracy': 0.74784276126558}   |
| 0.035         | 1072.0 | 429872 | 1.8840          | {'f1': 0.8314321926489228} | {'accuracy': 0.7449664429530202} |
| 0.0317        | 1073.0 | 430273 | 1.9991          | {'f1': 0.8285895003162556} | {'accuracy': 0.7401725790987536} |
| 0.0385        | 1074.0 | 430674 | 2.0446          | {'f1': 0.8279365079365079} | {'accuracy': 0.7401725790987536} |
| 0.0312        | 1075.0 | 431075 | 2.0173          | {'f1': 0.8257477243172952} | {'accuracy': 0.7430488974113135} |
| 0.0312        | 1076.0 | 431476 | 1.9649          | {'f1': 0.8257123923127899} | {'accuracy': 0.74784276126558}   |
| 0.0382        | 1077.0 | 431877 | 1.9213          | {'f1': 0.828334396936822}  | {'accuracy': 0.7420901246404602} |
| 0.0325        | 1078.0 | 432278 | 2.1540          | {'f1': 0.8330109606705353} | {'accuracy': 0.7516778523489933} |
| 0.036         | 1079.0 | 432679 | 2.0046          | {'f1': 0.8321358589157414} | {'accuracy': 0.7535953978907}    |
| 0.032         | 1080.0 | 433080 | 1.9144          | {'f1': 0.8304093567251463} | {'accuracy': 0.7497603068072867} |
| 0.032         | 1081.0 | 433481 | 1.7965          | {'f1': 0.8331226295828066} | {'accuracy': 0.7468839884947267} |
| 0.0326        | 1082.0 | 433882 | 2.3401          | {'f1': 0.8340638697557922} | {'accuracy': 0.7459252157238735} |
| 0.0373        | 1083.0 | 434283 | 1.9951          | {'f1': 0.8366179275270186} | {'accuracy': 0.7535953978907}    |
| 0.0354        | 1084.0 | 434684 | 1.8351          | {'f1': 0.8361581920903955} | {'accuracy': 0.7497603068072867} |
| 0.0379        | 1085.0 | 435085 | 1.7565          | {'f1': 0.8311195445920303} | {'accuracy': 0.7440076701821668} |
| 0.0379        | 1086.0 | 435486 | 2.0074          | {'f1': 0.827496757457847}  | {'accuracy': 0.7449664429530202} |
| 0.0294        | 1087.0 | 435887 | 1.7062          | {'f1': 0.8351507376523413} | {'accuracy': 0.7535953978907}    |
| 0.0399        | 1088.0 | 436288 | 2.0527          | {'f1': 0.8288288288288289} | {'accuracy': 0.7449664429530202} |
| 0.033         | 1089.0 | 436689 | 1.7937          | {'f1': 0.8333333333333333} | {'accuracy': 0.7488015340364333} |
| 0.0325        | 1090.0 | 437090 | 2.1899          | {'f1': 0.8218465539661899} | {'accuracy': 0.7372962607861937} |
| 0.0325        | 1091.0 | 437491 | 2.0416          | {'f1': 0.8346153846153845} | {'accuracy': 0.7526366251198466} |
| 0.0343        | 1092.0 | 437892 | 2.1439          | {'f1': 0.8117099135063207} | {'accuracy': 0.7286673058485139} |
| 0.036         | 1093.0 | 438293 | 2.0538          | {'f1': 0.8200890019071837} | {'accuracy': 0.7286673058485139} |
| 0.0322        | 1094.0 | 438694 | 2.0835          | {'f1': 0.8191978961209729} | {'accuracy': 0.7363374880153404} |
| 0.0289        | 1095.0 | 439095 | 2.1115          | {'f1': 0.8272318561335902} | {'accuracy': 0.7420901246404602} |
| 0.0289        | 1096.0 | 439496 | 2.0478          | {'f1': 0.8197368421052631} | {'accuracy': 0.7372962607861937} |
| 0.034         | 1097.0 | 439897 | 2.2200          | {'f1': 0.8237572627501615} | {'accuracy': 0.738255033557047}  |
| 0.0279        | 1098.0 | 440298 | 2.1914          | {'f1': 0.825147347740668}  | {'accuracy': 0.7440076701821668} |
| 0.0313        | 1099.0 | 440699 | 2.1082          | {'f1': 0.8311026131293818} | {'accuracy': 0.7459252157238735} |
| 0.0295        | 1100.0 | 441100 | 2.1718          | {'f1': 0.8235294117647058} | {'accuracy': 0.7411313518696069} |
| 0.0319        | 1101.0 | 441501 | 1.6767          | {'f1': 0.8283870967741936} | {'accuracy': 0.7449664429530202} |
| 0.0319        | 1102.0 | 441902 | 1.9520          | {'f1': 0.8229166666666666} | {'accuracy': 0.7392138063279002} |
| 0.0266        | 1103.0 | 442303 | 2.0818          | {'f1': 0.8239074550128535} | {'accuracy': 0.7372962607861937} |
| 0.0303        | 1104.0 | 442704 | 2.0768          | {'f1': 0.8201438848920863} | {'accuracy': 0.7363374880153404} |
| 0.0401        | 1105.0 | 443105 | 2.1110          | {'f1': 0.8216145833333334} | {'accuracy': 0.7372962607861937} |
| 0.0276        | 1106.0 | 443506 | 2.2895          | {'f1': 0.8267515923566878} | {'accuracy': 0.7392138063279002} |
| 0.0276        | 1107.0 | 443907 | 2.1953          | {'f1': 0.8209718670076727} | {'accuracy': 0.7315436241610739} |
| 0.0298        | 1108.0 | 444308 | 2.0686          | {'f1': 0.8286445012787724} | {'accuracy': 0.7430488974113135} |
| 0.0439        | 1109.0 | 444709 | 2.0133          | {'f1': 0.829733163913596}  | {'accuracy': 0.7430488974113135} |
| 0.0317        | 1110.0 | 445110 | 1.6669          | {'f1': 0.8236074270557029} | {'accuracy': 0.7449664429530202} |
| 0.0368        | 1111.0 | 445511 | 1.9307          | {'f1': 0.824583866837388}  | {'accuracy': 0.7372962607861937} |
| 0.0368        | 1112.0 | 445912 | 2.1902          | {'f1': 0.8193717277486912} | {'accuracy': 0.7353787152444871} |
| 0.0265        | 1113.0 | 446313 | 2.1701          | {'f1': 0.8236057068741893} | {'accuracy': 0.7392138063279002} |
| 0.0332        | 1114.0 | 446714 | 2.3489          | {'f1': 0.824952259707193}  | {'accuracy': 0.7363374880153404} |
| 0.0282        | 1115.0 | 447115 | 1.8751          | {'f1': 0.8278950735764556} | {'accuracy': 0.7420901246404602} |
| 0.0333        | 1116.0 | 447516 | 2.3421          | {'f1': 0.8259212198221093} | {'accuracy': 0.7372962607861937} |
| 0.0333        | 1117.0 | 447917 | 2.0774          | {'f1': 0.831824062095731}  | {'accuracy': 0.75071907957814}   |
| 0.0276        | 1118.0 | 448318 | 2.0899          | {'f1': 0.8292063492063492} | {'accuracy': 0.7420901246404602} |
| 0.0365        | 1119.0 | 448719 | 1.8072          | {'f1': 0.8270096463022508} | {'accuracy': 0.7420901246404602} |
| 0.0288        | 1120.0 | 449120 | 2.1608          | {'f1': 0.8206131767775604} | {'accuracy': 0.7363374880153404} |
| 0.034         | 1121.0 | 449521 | 2.1162          | {'f1': 0.8348909657320873} | {'accuracy': 0.7459252157238735} |
| 0.034         | 1122.0 | 449922 | 1.9594          | {'f1': 0.8159268929503917} | {'accuracy': 0.7296260786193672} |
| 0.0375        | 1123.0 | 450323 | 1.8401          | {'f1': 0.8347160178685386} | {'accuracy': 0.7516778523489933} |
| 0.0319        | 1124.0 | 450724 | 2.3512          | {'f1': 0.8212435233160622} | {'accuracy': 0.7353787152444871} |
| 0.0217        | 1125.0 | 451125 | 1.8755          | {'f1': 0.8198837959974177} | {'accuracy': 0.7325023969319271} |
| 0.0278        | 1126.0 | 451526 | 2.3428          | {'f1': 0.8281938325991189} | {'accuracy': 0.738255033557047}  |
| 0.0278        | 1127.0 | 451927 | 2.0704          | {'f1': 0.8227767114523353} | {'accuracy': 0.7344199424736337} |
| 0.0307        | 1128.0 | 452328 | 2.3593          | {'f1': 0.8218135700697528} | {'accuracy': 0.7305848513902206} |
| 0.0262        | 1129.0 | 452729 | 2.1589          | {'f1': 0.8315182575272262} | {'accuracy': 0.74784276126558}   |
| 0.0284        | 1130.0 | 453130 | 2.1384          | {'f1': 0.8233766233766234} | {'accuracy': 0.7392138063279002} |
| 0.024         | 1131.0 | 453531 | 2.2453          | {'f1': 0.8287714831317633} | {'accuracy': 0.7420901246404602} |
| 0.024         | 1132.0 | 453932 | 2.1603          | {'f1': 0.8224661071659135} | {'accuracy': 0.7363374880153404} |
| 0.0247        | 1133.0 | 454333 | 2.1675          | {'f1': 0.8300192431045542} | {'accuracy': 0.7459252157238735} |
| 0.0288        | 1134.0 | 454734 | 2.0671          | {'f1': 0.8266841072596469} | {'accuracy': 0.7459252157238735} |
| 0.0247        | 1135.0 | 455135 | 2.0866          | {'f1': 0.8284409654272668} | {'accuracy': 0.74784276126558}   |
| 0.0244        | 1136.0 | 455536 | 2.5004          | {'f1': 0.8364544319600501} | {'accuracy': 0.7488015340364333} |
| 0.0244        | 1137.0 | 455937 | 1.8364          | {'f1': 0.8258899676375405} | {'accuracy': 0.7420901246404602} |
| 0.0277        | 1138.0 | 456338 | 2.0476          | {'f1': 0.8149134487350199} | {'accuracy': 0.7334611697027804} |
| 0.0233        | 1139.0 | 456739 | 2.2254          | {'f1': 0.8193717277486912} | {'accuracy': 0.7353787152444871} |
| 0.0251        | 1140.0 | 457140 | 2.3250          | {'f1': 0.8329113924050634} | {'accuracy': 0.7468839884947267} |
| 0.0285        | 1141.0 | 457541 | 1.7710          | {'f1': 0.8298807281858129} | {'accuracy': 0.7401725790987536} |
| 0.0285        | 1142.0 | 457942 | 2.1800          | {'f1': 0.8258642765685019} | {'accuracy': 0.7392138063279002} |
| 0.0355        | 1143.0 | 458343 | 2.1469          | {'f1': 0.8341836734693877} | {'accuracy': 0.75071907957814}   |
| 0.0264        | 1144.0 | 458744 | 2.2840          | {'f1': 0.8303571428571429} | {'accuracy': 0.7449664429530202} |
| 0.0341        | 1145.0 | 459145 | 2.3483          | {'f1': 0.8258642765685019} | {'accuracy': 0.7392138063279002} |
| 0.0262        | 1146.0 | 459546 | 2.1728          | {'f1': 0.8344958782498415} | {'accuracy': 0.7497603068072867} |
| 0.0262        | 1147.0 | 459947 | 2.1554          | {'f1': 0.8356867779204109} | {'accuracy': 0.7545541706615532} |
| 0.0192        | 1148.0 | 460348 | 2.2331          | {'f1': 0.827766863130321}  | {'accuracy': 0.74784276126558}   |
| 0.0251        | 1149.0 | 460749 | 1.7875          | {'f1': 0.8100595632031767} | {'accuracy': 0.7248322147651006} |
| 0.0336        | 1150.0 | 461150 | 1.7772          | {'f1': 0.8302130406714009} | {'accuracy': 0.74784276126558}   |
| 0.0255        | 1151.0 | 461551 | 2.4571          | {'f1': 0.8197146562905318} | {'accuracy': 0.7334611697027804} |
| 0.0255        | 1152.0 | 461952 | 1.9385          | {'f1': 0.8333333333333333} | {'accuracy': 0.75071907957814}   |
| 0.0251        | 1153.0 | 462353 | 2.0240          | {'f1': 0.831824062095731}  | {'accuracy': 0.75071907957814}   |
| 0.0315        | 1154.0 | 462754 | 2.1138          | {'f1': 0.822295081967213}  | {'accuracy': 0.7401725790987536} |
| 0.0285        | 1155.0 | 463155 | 1.8479          | {'f1': 0.8338637810311904} | {'accuracy': 0.7497603068072867} |
| 0.0289        | 1156.0 | 463556 | 1.7001          | {'f1': 0.8423772609819122} | {'accuracy': 0.7660594439117929} |
| 0.0289        | 1157.0 | 463957 | 1.9604          | {'f1': 0.8299674267100977} | {'accuracy': 0.7497603068072867} |
| 0.0253        | 1158.0 | 464358 | 1.9619          | {'f1': 0.8274078862314156} | {'accuracy': 0.7440076701821668} |
| 0.0244        | 1159.0 | 464759 | 1.8949          | {'f1': 0.8300907911802854} | {'accuracy': 0.7488015340364333} |
| 0.0313        | 1160.0 | 465160 | 2.1597          | {'f1': 0.8286082474226804} | {'accuracy': 0.7449664429530202} |
| 0.0261        | 1161.0 | 465561 | 1.9821          | {'f1': 0.8255591054313098} | {'accuracy': 0.738255033557047}  |
| 0.0261        | 1162.0 | 465962 | 2.1857          | {'f1': 0.8176431863067807} | {'accuracy': 0.7344199424736337} |
| 0.029         | 1163.0 | 466363 | 2.1166          | {'f1': 0.8387909319899244} | {'accuracy': 0.7545541706615532} |
| 0.0261        | 1164.0 | 466764 | 1.8483          | {'f1': 0.8328035600762874} | {'accuracy': 0.74784276126558}   |
| 0.0351        | 1165.0 | 467165 | 2.3461          | {'f1': 0.8400503778337531} | {'accuracy': 0.7564717162032598} |
| 0.0307        | 1166.0 | 467566 | 1.8958          | {'f1': 0.8302130406714009} | {'accuracy': 0.74784276126558}   |
| 0.0307        | 1167.0 | 467967 | 2.2515          | {'f1': 0.8396756082345601} | {'accuracy': 0.7535953978907}    |
| 0.032         | 1168.0 | 468368 | 2.0415          | {'f1': 0.8245161290322582} | {'accuracy': 0.7392138063279002} |
| 0.0261        | 1169.0 | 468769 | 2.1267          | {'f1': 0.8290544771446462} | {'accuracy': 0.738255033557047}  |
| 0.0252        | 1170.0 | 469170 | 1.9581          | {'f1': 0.8351920693928129} | {'accuracy': 0.7449664429530202} |
| 0.0282        | 1171.0 | 469571 | 2.2856          | {'f1': 0.8324873096446701} | {'accuracy': 0.7468839884947267} |
| 0.0282        | 1172.0 | 469972 | 1.5806          | {'f1': 0.8210526315789474} | {'accuracy': 0.7392138063279002} |
| 0.0282        | 1173.0 | 470373 | 2.1697          | {'f1': 0.8278061224489797} | {'accuracy': 0.7411313518696069} |
| 0.0257        | 1174.0 | 470774 | 2.0497          | {'f1': 0.8205128205128205} | {'accuracy': 0.7315436241610739} |
| 0.0284        | 1175.0 | 471175 | 2.0062          | {'f1': 0.8239116309291746} | {'accuracy': 0.7401725790987536} |
| 0.0247        | 1176.0 | 471576 | 2.0744          | {'f1': 0.8295528191834091} | {'accuracy': 0.74784276126558}   |
| 0.0247        | 1177.0 | 471977 | 2.0644          | {'f1': 0.8282958199356913} | {'accuracy': 0.7440076701821668} |
| 0.0246        | 1178.0 | 472378 | 1.9425          | {'f1': 0.8264462809917356} | {'accuracy': 0.738255033557047}  |
| 0.0258        | 1179.0 | 472779 | 2.0111          | {'f1': 0.826115061409179}  | {'accuracy': 0.7420901246404602} |
| 0.0301        | 1180.0 | 473180 | 2.0453          | {'f1': 0.8275409836065574} | {'accuracy': 0.74784276126558}   |
| 0.0249        | 1181.0 | 473581 | 2.1908          | {'f1': 0.8126259234385493} | {'accuracy': 0.7325023969319271} |
| 0.0249        | 1182.0 | 473982 | 2.1434          | {'f1': 0.8273145108338806} | {'accuracy': 0.74784276126558}   |
| 0.0287        | 1183.0 | 474383 | 2.2395          | {'f1': 0.8293625241468126} | {'accuracy': 0.7459252157238735} |
| 0.0278        | 1184.0 | 474784 | 2.1147          | {'f1': 0.8288288288288289} | {'accuracy': 0.7449664429530202} |
| 0.0227        | 1185.0 | 475185 | 2.2722          | {'f1': 0.8314028314028314} | {'accuracy': 0.7488015340364333} |
| 0.0291        | 1186.0 | 475586 | 2.0488          | {'f1': 0.8289557975656631} | {'accuracy': 0.7440076701821668} |
| 0.0291        | 1187.0 | 475987 | 1.8904          | {'f1': 0.827319587628866}  | {'accuracy': 0.7430488974113135} |
| 0.0301        | 1188.0 | 476388 | 2.1522          | {'f1': 0.8287007110536523} | {'accuracy': 0.7459252157238735} |
| 0.0202        | 1189.0 | 476789 | 2.1699          | {'f1': 0.8250950570342205} | {'accuracy': 0.7353787152444871} |
| 0.0249        | 1190.0 | 477190 | 2.3452          | {'f1': 0.822695035460993}  | {'accuracy': 0.7363374880153404} |
| 0.0236        | 1191.0 | 477591 | 2.4132          | {'f1': 0.827852998065764}  | {'accuracy': 0.7440076701821668} |
| 0.0236        | 1192.0 | 477992 | 2.0993          | {'f1': 0.8315182575272262} | {'accuracy': 0.74784276126558}   |
| 0.0227        | 1193.0 | 478393 | 2.2398          | {'f1': 0.8291424887169568} | {'accuracy': 0.7459252157238735} |
| 0.0238        | 1194.0 | 478794 | 1.9529          | {'f1': 0.8253557567917206} | {'accuracy': 0.7411313518696069} |
| 0.0307        | 1195.0 | 479195 | 2.0647          | {'f1': 0.8091091761553918} | {'accuracy': 0.7267497603068073} |
| 0.0365        | 1196.0 | 479596 | 2.3431          | {'f1': 0.8255813953488373} | {'accuracy': 0.7411313518696069} |
| 0.0365        | 1197.0 | 479997 | 2.2097          | {'f1': 0.8286082474226804} | {'accuracy': 0.7449664429530202} |
| 0.0216        | 1198.0 | 480398 | 2.1333          | {'f1': 0.827992151733159}  | {'accuracy': 0.74784276126558}   |
| 0.0256        | 1199.0 | 480799 | 1.9393          | {'f1': 0.8303863785199739} | {'accuracy': 0.7516778523489933} |
| 0.0285        | 1200.0 | 481200 | 1.9451          | {'f1': 0.8297734627831717} | {'accuracy': 0.74784276126558}   |
| 0.0213        | 1201.0 | 481601 | 1.7346          | {'f1': 0.8365019011406846} | {'accuracy': 0.7526366251198466} |
| 0.0305        | 1202.0 | 482002 | 1.7965          | {'f1': 0.8330134357005758} | {'accuracy': 0.7497603068072867} |
| 0.0305        | 1203.0 | 482403 | 1.8949          | {'f1': 0.8317214700193424} | {'accuracy': 0.7497603068072867} |
| 0.0243        | 1204.0 | 482804 | 1.7339          | {'f1': 0.841300191204589}  | {'accuracy': 0.7612655800575263} |
| 0.0231        | 1205.0 | 483205 | 2.2375          | {'f1': 0.8381430363864492} | {'accuracy': 0.7526366251198466} |
| 0.0194        | 1206.0 | 483606 | 2.0505          | {'f1': 0.8333333333333333} | {'accuracy': 0.7488015340364333} |
| 0.0268        | 1207.0 | 484007 | 2.1140          | {'f1': 0.8307692307692308} | {'accuracy': 0.7468839884947267} |
| 0.0268        | 1208.0 | 484408 | 1.9601          | {'f1': 0.829800899165061}  | {'accuracy': 0.7459252157238735} |
| 0.0226        | 1209.0 | 484809 | 1.8860          | {'f1': 0.8444722048719551} | {'accuracy': 0.7612655800575263} |
| 0.0308        | 1210.0 | 485210 | 2.2254          | {'f1': 0.8300907911802854} | {'accuracy': 0.7488015340364333} |
| 0.0278        | 1211.0 | 485611 | 2.1704          | {'f1': 0.8331210191082803} | {'accuracy': 0.7488015340364333} |
| 0.0255        | 1212.0 | 486012 | 2.3606          | {'f1': 0.8342785129174544} | {'accuracy': 0.74784276126558}   |
| 0.0255        | 1213.0 | 486413 | 2.3387          | {'f1': 0.8385053831538949} | {'accuracy': 0.7555129434324065} |
| 0.0247        | 1214.0 | 486814 | 2.0505          | {'f1': 0.8343868520859672} | {'accuracy': 0.7488015340364333} |
| 0.0266        | 1215.0 | 487215 | 1.7528          | {'f1': 0.8310854206807964} | {'accuracy': 0.74784276126558}   |
| 0.0192        | 1216.0 | 487616 | 2.2197          | {'f1': 0.8278481012658229} | {'accuracy': 0.7392138063279002} |
| 0.0291        | 1217.0 | 488017 | 2.1230          | {'f1': 0.8309239472030169} | {'accuracy': 0.7420901246404602} |
| 0.0291        | 1218.0 | 488418 | 2.4172          | {'f1': 0.8248366013071896} | {'accuracy': 0.7430488974113135} |
| 0.0161        | 1219.0 | 488819 | 2.2132          | {'f1': 0.8315182575272262} | {'accuracy': 0.74784276126558}   |
| 0.0262        | 1220.0 | 489220 | 1.9892          | {'f1': 0.8259473346178547} | {'accuracy': 0.7401725790987536} |
| 0.0289        | 1221.0 | 489621 | 2.0739          | {'f1': 0.8275418275418275} | {'accuracy': 0.7430488974113135} |
| 0.0221        | 1222.0 | 490022 | 2.3933          | {'f1': 0.8264781491002571} | {'accuracy': 0.7411313518696069} |
| 0.0221        | 1223.0 | 490423 | 2.2494          | {'f1': 0.8200129954515919} | {'accuracy': 0.7344199424736337} |
| 0.0277        | 1224.0 | 490824 | 1.8523          | {'f1': 0.8221649484536082} | {'accuracy': 0.7353787152444871} |
| 0.0246        | 1225.0 | 491225 | 2.2038          | {'f1': 0.8284250960307298} | {'accuracy': 0.7430488974113135} |
| 0.0231        | 1226.0 | 491626 | 2.2008          | {'f1': 0.8266154830454254} | {'accuracy': 0.7401725790987536} |
| 0.0249        | 1227.0 | 492027 | 1.8870          | {'f1': 0.8335435056746532} | {'accuracy': 0.7468839884947267} |
| 0.0249        | 1228.0 | 492428 | 2.1120          | {'f1': 0.8248222365869425} | {'accuracy': 0.7401725790987536} |
| 0.0283        | 1229.0 | 492829 | 2.0279          | {'f1': 0.8315457413249213} | {'accuracy': 0.7440076701821668} |
| 0.0218        | 1230.0 | 493230 | 1.9758          | {'f1': 0.8336495888678052} | {'accuracy': 0.74784276126558}   |
| 0.0189        | 1231.0 | 493631 | 1.9250          | {'f1': 0.8310854206807964} | {'accuracy': 0.74784276126558}   |
| 0.0257        | 1232.0 | 494032 | 1.9373          | {'f1': 0.8336495888678052} | {'accuracy': 0.74784276126558}   |
| 0.0257        | 1233.0 | 494433 | 2.0483          | {'f1': 0.8260869565217391} | {'accuracy': 0.7468839884947267} |
| 0.0271        | 1234.0 | 494834 | 2.1123          | {'f1': 0.829827915869981}  | {'accuracy': 0.7440076701821668} |
| 0.0279        | 1235.0 | 495235 | 2.1992          | {'f1': 0.8211488250652741} | {'accuracy': 0.7372962607861937} |
| 0.0219        | 1236.0 | 495636 | 1.9800          | {'f1': 0.8379396984924623} | {'accuracy': 0.7526366251198466} |
| 0.0261        | 1237.0 | 496037 | 2.0731          | {'f1': 0.8381317978246962} | {'accuracy': 0.7574304889741131} |
| 0.0261        | 1238.0 | 496438 | 2.0687          | {'f1': 0.8330109606705353} | {'accuracy': 0.7516778523489933} |
| 0.0196        | 1239.0 | 496839 | 2.4971          | {'f1': 0.8191489361702128} | {'accuracy': 0.7392138063279002} |
| 0.0244        | 1240.0 | 497240 | 2.1966          | {'f1': 0.8314899154196486} | {'accuracy': 0.7516778523489933} |
| 0.0272        | 1241.0 | 497641 | 2.2883          | {'f1': 0.8341772151898734} | {'accuracy': 0.7488015340364333} |
| 0.0264        | 1242.0 | 498042 | 2.2568          | {'f1': 0.833659491193738}  | {'accuracy': 0.7555129434324065} |
| 0.0264        | 1243.0 | 498443 | 2.3431          | {'f1': 0.8334413480233311} | {'accuracy': 0.7535953978907}    |
| 0.0277        | 1244.0 | 498844 | 2.0661          | {'f1': 0.8376288659793815} | {'accuracy': 0.7583892617449665} |
| 0.0234        | 1245.0 | 499245 | 2.2805          | {'f1': 0.8357276702061213} | {'accuracy': 0.74784276126558}   |
| 0.0251        | 1246.0 | 499646 | 2.3498          | {'f1': 0.8238375900458415} | {'accuracy': 0.7420901246404602} |
| 0.0217        | 1247.0 | 500047 | 2.0087          | {'f1': 0.8278580814717477} | {'accuracy': 0.7488015340364333} |
| 0.0217        | 1248.0 | 500448 | 2.0331          | {'f1': 0.8287937743190662} | {'accuracy': 0.7468839884947267} |
| 0.0222        | 1249.0 | 500849 | 1.7764          | {'f1': 0.8247694334650855} | {'accuracy': 0.7449664429530202} |
| 0.0287        | 1250.0 | 501250 | 1.8921          | {'f1': 0.8314176245210728} | {'accuracy': 0.7468839884947267} |
| 0.0265        | 1251.0 | 501651 | 2.3134          | {'f1': 0.8148639681486396} | {'accuracy': 0.7325023969319271} |
| 0.0188        | 1252.0 | 502052 | 2.1177          | {'f1': 0.8307493540051678} | {'accuracy': 0.7488015340364333} |
| 0.0188        | 1253.0 | 502453 | 2.1209          | {'f1': 0.8343949044585988} | {'accuracy': 0.75071907957814}   |
| 0.0267        | 1254.0 | 502854 | 2.2433          | {'f1': 0.8299935358758889} | {'accuracy': 0.74784276126558}   |
| 0.023         | 1255.0 | 503255 | 1.9853          | {'f1': 0.823841059602649}  | {'accuracy': 0.7449664429530202} |
| 0.0304        | 1256.0 | 503656 | 2.2564          | {'f1': 0.8362944162436549} | {'accuracy': 0.7526366251198466} |
| 0.0204        | 1257.0 | 504057 | 2.2115          | {'f1': 0.8314321926489228} | {'accuracy': 0.7449664429530202} |
| 0.0204        | 1258.0 | 504458 | 2.4560          | {'f1': 0.8285895003162556} | {'accuracy': 0.7401725790987536} |
| 0.0198        | 1259.0 | 504859 | 2.1401          | {'f1': 0.8288874430709173} | {'accuracy': 0.74784276126558}   |
| 0.0236        | 1260.0 | 505260 | 2.3204          | {'f1': 0.8337595907928389} | {'accuracy': 0.75071907957814}   |
| 0.0255        | 1261.0 | 505661 | 2.1924          | {'f1': 0.8315041962556489} | {'accuracy': 0.7497603068072867} |
| 0.0238        | 1262.0 | 506062 | 2.3210          | {'f1': 0.8319697923222151} | {'accuracy': 0.7440076701821668} |
| 0.0238        | 1263.0 | 506463 | 1.9838          | {'f1': 0.8239116309291746} | {'accuracy': 0.7401725790987536} |
| 0.0251        | 1264.0 | 506864 | 2.2084          | {'f1': 0.8219354838709678} | {'accuracy': 0.7353787152444871} |
| 0.0224        | 1265.0 | 507265 | 2.2475          | {'f1': 0.8188453881884538} | {'accuracy': 0.738255033557047}  |
| 0.0185        | 1266.0 | 507666 | 2.1923          | {'f1': 0.8292682926829268} | {'accuracy': 0.738255033557047}  |
| 0.0249        | 1267.0 | 508067 | 1.8119          | {'f1': 0.8334380892520427} | {'accuracy': 0.7459252157238735} |
| 0.0249        | 1268.0 | 508468 | 2.1861          | {'f1': 0.8340865074241447} | {'accuracy': 0.7535953978907}    |
| 0.0241        | 1269.0 | 508869 | 2.4227          | {'f1': 0.8379396984924623} | {'accuracy': 0.7526366251198466} |
| 0.0248        | 1270.0 | 509270 | 2.1900          | {'f1': 0.8326898326898327} | {'accuracy': 0.75071907957814}   |
| 0.0196        | 1271.0 | 509671 | 2.2512          | {'f1': 0.8326947637292466} | {'accuracy': 0.7488015340364333} |
| 0.0227        | 1272.0 | 510072 | 1.9323          | {'f1': 0.834293026231606}  | {'accuracy': 0.7516778523489933} |
| 0.0227        | 1273.0 | 510473 | 2.0886          | {'f1': 0.8200270635994588} | {'accuracy': 0.7449664429530202} |
| 0.0228        | 1274.0 | 510874 | 2.0640          | {'f1': 0.8248366013071896} | {'accuracy': 0.7430488974113135} |
| 0.0195        | 1275.0 | 511275 | 2.1154          | {'f1': 0.8274111675126904} | {'accuracy': 0.7392138063279002} |
| 0.0284        | 1276.0 | 511676 | 2.1029          | {'f1': 0.8329048843187661} | {'accuracy': 0.75071907957814}   |
| 0.0195        | 1277.0 | 512077 | 2.0365          | {'f1': 0.8373298768632534} | {'accuracy': 0.7593480345158198} |
| 0.0195        | 1278.0 | 512478 | 2.2650          | {'f1': 0.8351368555060471} | {'accuracy': 0.7516778523489933} |
| 0.0213        | 1279.0 | 512879 | 2.5130          | {'f1': 0.8301647655259823} | {'accuracy': 0.7430488974113135} |
| 0.0139        | 1280.0 | 513280 | 2.0023          | {'f1': 0.8262548262548263} | {'accuracy': 0.7411313518696069} |
| 0.0212        | 1281.0 | 513681 | 1.9178          | {'f1': 0.8333333333333333} | {'accuracy': 0.75071907957814}   |
| 0.0123        | 1282.0 | 514082 | 2.3301          | {'f1': 0.8314028314028314} | {'accuracy': 0.7488015340364333} |
| 0.0123        | 1283.0 | 514483 | 2.1285          | {'f1': 0.8295165394402036} | {'accuracy': 0.7430488974113135} |
| 0.0201        | 1284.0 | 514884 | 2.3112          | {'f1': 0.8336520076481836} | {'accuracy': 0.7497603068072867} |
| 0.0172        | 1285.0 | 515285 | 1.7911          | {'f1': 0.8333333333333334} | {'accuracy': 0.7545541706615532} |
| 0.0273        | 1286.0 | 515686 | 1.8670          | {'f1': 0.8244473342002602} | {'accuracy': 0.7411313518696069} |
| 0.0149        | 1287.0 | 516087 | 2.3021          | {'f1': 0.8400770712909442} | {'accuracy': 0.7612655800575263} |
| 0.0149        | 1288.0 | 516488 | 2.0444          | {'f1': 0.8286644951140065} | {'accuracy': 0.74784276126558}   |
| 0.0218        | 1289.0 | 516889 | 2.0311          | {'f1': 0.8324937027707808} | {'accuracy': 0.7449664429530202} |
| 0.0157        | 1290.0 | 517290 | 1.9750          | {'f1': 0.8287581699346405} | {'accuracy': 0.7488015340364333} |
| 0.0161        | 1291.0 | 517691 | 2.1697          | {'f1': 0.8322663252240717} | {'accuracy': 0.7488015340364333} |
| 0.0204        | 1292.0 | 518092 | 2.2885          | {'f1': 0.8417037507946599} | {'accuracy': 0.7612655800575263} |
| 0.0204        | 1293.0 | 518493 | 2.2275          | {'f1': 0.8414948453608248} | {'accuracy': 0.7641418983700863} |
| 0.0175        | 1294.0 | 518894 | 2.3260          | {'f1': 0.8238341968911918} | {'accuracy': 0.7392138063279002} |
| 0.0163        | 1295.0 | 519295 | 2.5628          | {'f1': 0.831758034026465}  | {'accuracy': 0.7440076701821668} |
| 0.0186        | 1296.0 | 519696 | 2.2618          | {'f1': 0.8352788586251622} | {'accuracy': 0.7564717162032598} |
| 0.0183        | 1297.0 | 520097 | 1.9587          | {'f1': 0.8347375243033053} | {'accuracy': 0.7555129434324065} |
| 0.0183        | 1298.0 | 520498 | 2.1325          | {'f1': 0.8344958782498415} | {'accuracy': 0.7497603068072867} |
| 0.0211        | 1299.0 | 520899 | 1.9821          | {'f1': 0.8252740167633785} | {'accuracy': 0.7401725790987536} |
| 0.022         | 1300.0 | 521300 | 2.1052          | {'f1': 0.8342785129174544} | {'accuracy': 0.74784276126558}   |
| 0.0226        | 1301.0 | 521701 | 2.1452          | {'f1': 0.8275418275418275} | {'accuracy': 0.7430488974113135} |
| 0.0222        | 1302.0 | 522102 | 2.3962          | {'f1': 0.8169200264375412} | {'accuracy': 0.7344199424736337} |
| 0.0179        | 1303.0 | 522503 | 2.4732          | {'f1': 0.8255813953488373} | {'accuracy': 0.7411313518696069} |
| 0.0179        | 1304.0 | 522904 | 2.4542          | {'f1': 0.8264781491002571} | {'accuracy': 0.7411313518696069} |
| 0.0212        | 1305.0 | 523305 | 2.3747          | {'f1': 0.8258391386953768} | {'accuracy': 0.7363374880153404} |
| 0.0169        | 1306.0 | 523706 | 2.2222          | {'f1': 0.8285714285714286} | {'accuracy': 0.7468839884947267} |
| 0.0146        | 1307.0 | 524107 | 2.0356          | {'f1': 0.8362919132149903} | {'accuracy': 0.7612655800575263} |
| 0.0158        | 1308.0 | 524508 | 2.2574          | {'f1': 0.8250319284802042} | {'accuracy': 0.7372962607861937} |
| 0.0158        | 1309.0 | 524909 | 2.1803          | {'f1': 0.8331210191082803} | {'accuracy': 0.7488015340364333} |
| 0.0219        | 1310.0 | 525310 | 1.9685          | {'f1': 0.8321722609246357} | {'accuracy': 0.7459252157238735} |
| 0.0209        | 1311.0 | 525711 | 2.1649          | {'f1': 0.8322903629536921} | {'accuracy': 0.7430488974113135} |
| 0.0162        | 1312.0 | 526112 | 2.2466          | {'f1': 0.8300192431045542} | {'accuracy': 0.7459252157238735} |
| 0.0162        | 1313.0 | 526513 | 2.1672          | {'f1': 0.832274459974587}  | {'accuracy': 0.7468839884947267} |
| 0.0162        | 1314.0 | 526914 | 2.2840          | {'f1': 0.8319594166138238} | {'accuracy': 0.7459252157238735} |
| 0.0197        | 1315.0 | 527315 | 2.2938          | {'f1': 0.8304093567251463} | {'accuracy': 0.7497603068072867} |
| 0.0157        | 1316.0 | 527716 | 2.2573          | {'f1': 0.8350649350649352} | {'accuracy': 0.7564717162032598} |
| 0.0183        | 1317.0 | 528117 | 2.2786          | {'f1': 0.8300653594771241} | {'accuracy': 0.75071907957814}   |
| 0.0121        | 1318.0 | 528518 | 2.4642          | {'f1': 0.8320413436692506} | {'accuracy': 0.75071907957814}   |
| 0.0121        | 1319.0 | 528919 | 2.0655          | {'f1': 0.8389134554643083} | {'accuracy': 0.7555129434324065} |
| 0.0191        | 1320.0 | 529320 | 2.0353          | {'f1': 0.8310854206807964} | {'accuracy': 0.74784276126558}   |
| 0.0181        | 1321.0 | 529721 | 2.2717          | {'f1': 0.8274111675126904} | {'accuracy': 0.7392138063279002} |
| 0.0211        | 1322.0 | 530122 | 2.4642          | {'f1': 0.8326947637292466} | {'accuracy': 0.7488015340364333} |
| 0.0195        | 1323.0 | 530523 | 2.3501          | {'f1': 0.8268864933417883} | {'accuracy': 0.738255033557047}  |
| 0.0195        | 1324.0 | 530924 | 2.3431          | {'f1': 0.8369426751592357} | {'accuracy': 0.7545541706615532} |
| 0.0242        | 1325.0 | 531325 | 2.1629          | {'f1': 0.840378548895899}  | {'accuracy': 0.7574304889741131} |
| 0.0214        | 1326.0 | 531726 | 2.3598          | {'f1': 0.8340750158931978} | {'accuracy': 0.7497603068072867} |
| 0.0254        | 1327.0 | 532127 | 2.3479          | {'f1': 0.8309305373525558} | {'accuracy': 0.7526366251198466} |
| 0.0152        | 1328.0 | 532528 | 2.2900          | {'f1': 0.8343004513217279} | {'accuracy': 0.7535953978907}    |
| 0.0152        | 1329.0 | 532929 | 2.3538          | {'f1': 0.8313021167415009} | {'accuracy': 0.74784276126558}   |
| 0.0133        | 1330.0 | 533330 | 2.1949          | {'f1': 0.8299748110831233} | {'accuracy': 0.7411313518696069} |
| 0.0207        | 1331.0 | 533731 | 2.4447          | {'f1': 0.8245270711024136} | {'accuracy': 0.7420901246404602} |
| 0.0201        | 1332.0 | 534132 | 2.5238          | {'f1': 0.8293929712460064} | {'accuracy': 0.7440076701821668} |
| 0.0133        | 1333.0 | 534533 | 2.2451          | {'f1': 0.827720207253886}  | {'accuracy': 0.7449664429530202} |
| 0.0133        | 1334.0 | 534934 | 2.3539          | {'f1': 0.833859759949463}  | {'accuracy': 0.74784276126558}   |
| 0.0183        | 1335.0 | 535335 | 2.0576          | {'f1': 0.8294930875576036} | {'accuracy': 0.7516778523489933} |
| 0.0209        | 1336.0 | 535736 | 2.3898          | {'f1': 0.8372686662412252} | {'accuracy': 0.7555129434324065} |
| 0.0203        | 1337.0 | 536137 | 2.2349          | {'f1': 0.8429217840982547} | {'accuracy': 0.7670182166826462} |
| 0.0161        | 1338.0 | 536538 | 2.2458          | {'f1': 0.8346055979643766} | {'accuracy': 0.75071907957814}   |
| 0.0161        | 1339.0 | 536939 | 2.2747          | {'f1': 0.8113207547169812} | {'accuracy': 0.7315436241610739} |
| 0.0135        | 1340.0 | 537340 | 2.1130          | {'f1': 0.8340694006309148} | {'accuracy': 0.74784276126558}   |
| 0.0177        | 1341.0 | 537741 | 1.9802          | {'f1': 0.834403080872914}  | {'accuracy': 0.7526366251198466} |
| 0.0169        | 1342.0 | 538142 | 2.2030          | {'f1': 0.8314899154196486} | {'accuracy': 0.7516778523489933} |
| 0.019         | 1343.0 | 538543 | 2.4209          | {'f1': 0.832908163265306}  | {'accuracy': 0.7488015340364333} |
| 0.019         | 1344.0 | 538944 | 2.6522          | {'f1': 0.8216355441081779} | {'accuracy': 0.7344199424736337} |
| 0.0141        | 1345.0 | 539345 | 2.0643          | {'f1': 0.8326947637292466} | {'accuracy': 0.7488015340364333} |
| 0.0152        | 1346.0 | 539746 | 2.4329          | {'f1': 0.8304761904761905} | {'accuracy': 0.7440076701821668} |
| 0.0156        | 1347.0 | 540147 | 2.4906          | {'f1': 0.8288633461047253} | {'accuracy': 0.7430488974113135} |
| 0.0169        | 1348.0 | 540548 | 2.6073          | {'f1': 0.8287153652392948} | {'accuracy': 0.7392138063279002} |
| 0.0169        | 1349.0 | 540949 | 2.2232          | {'f1': 0.8265971316818774} | {'accuracy': 0.7449664429530202} |
| 0.0166        | 1350.0 | 541350 | 1.9587          | {'f1': 0.8291139240506329} | {'accuracy': 0.7411313518696069} |
| 0.0147        | 1351.0 | 541751 | 2.2473          | {'f1': 0.8313176320814768} | {'accuracy': 0.7459252157238735} |
| 0.0191        | 1352.0 | 542152 | 2.0964          | {'f1': 0.8295165394402036} | {'accuracy': 0.7430488974113135} |
| 0.0151        | 1353.0 | 542553 | 1.8425          | {'f1': 0.8299492385786802} | {'accuracy': 0.7430488974113135} |
| 0.0151        | 1354.0 | 542954 | 2.1392          | {'f1': 0.8251121076233184} | {'accuracy': 0.738255033557047}  |
| 0.0138        | 1355.0 | 543355 | 2.3261          | {'f1': 0.826530612244898}  | {'accuracy': 0.7392138063279002} |
| 0.0132        | 1356.0 | 543756 | 2.2175          | {'f1': 0.8110964332892998} | {'accuracy': 0.725790987535954}  |
| 0.0168        | 1357.0 | 544157 | 2.5470          | {'f1': 0.8267170762444864} | {'accuracy': 0.7363374880153404} |
| 0.0136        | 1358.0 | 544558 | 2.5444          | {'f1': 0.8125819134993446} | {'accuracy': 0.725790987535954}  |
| 0.0136        | 1359.0 | 544959 | 2.1716          | {'f1': 0.8190104166666666} | {'accuracy': 0.7334611697027804} |
| 0.0214        | 1360.0 | 545360 | 2.3067          | {'f1': 0.8310214375788146} | {'accuracy': 0.7430488974113135} |
| 0.0161        | 1361.0 | 545761 | 2.2575          | {'f1': 0.8279009126466753} | {'accuracy': 0.7468839884947267} |
| 0.0134        | 1362.0 | 546162 | 2.4202          | {'f1': 0.8236048749198204} | {'accuracy': 0.7363374880153404} |
| 0.0138        | 1363.0 | 546563 | 2.7025          | {'f1': 0.8278021289918598} | {'accuracy': 0.7363374880153404} |
| 0.0138        | 1364.0 | 546964 | 2.2089          | {'f1': 0.8251295336787564} | {'accuracy': 0.7411313518696069} |
| 0.0151        | 1365.0 | 547365 | 2.2094          | {'f1': 0.8337531486146096} | {'accuracy': 0.7468839884947267} |
| 0.0188        | 1366.0 | 547766 | 2.3831          | {'f1': 0.8336495888678052} | {'accuracy': 0.74784276126558}   |
| 0.0149        | 1367.0 | 548167 | 2.4837          | {'f1': 0.8335451080050826} | {'accuracy': 0.7488015340364333} |
| 0.0149        | 1368.0 | 548568 | 2.4871          | {'f1': 0.8292993630573249} | {'accuracy': 0.7430488974113135} |
| 0.0149        | 1369.0 | 548969 | 2.2712          | {'f1': 0.8289891926255561} | {'accuracy': 0.7420901246404602} |
| 0.0146        | 1370.0 | 549370 | 2.2060          | {'f1': 0.8285163776493256} | {'accuracy': 0.7440076701821668} |
| 0.0152        | 1371.0 | 549771 | 2.1056          | {'f1': 0.8309677419354838} | {'accuracy': 0.7488015340364333} |
| 0.0175        | 1372.0 | 550172 | 2.2266          | {'f1': 0.8322981366459627} | {'accuracy': 0.7411313518696069} |
| 0.0147        | 1373.0 | 550573 | 2.2462          | {'f1': 0.8282566429034349} | {'accuracy': 0.7459252157238735} |
| 0.0147        | 1374.0 | 550974 | 2.2850          | {'f1': 0.8291770573566085} | {'accuracy': 0.7372962607861937} |
| 0.0189        | 1375.0 | 551375 | 2.2098          | {'f1': 0.8323699421965319} | {'accuracy': 0.7497603068072867} |
| 0.0178        | 1376.0 | 551776 | 1.9975          | {'f1': 0.8260038240917783} | {'accuracy': 0.738255033557047}  |
| 0.0157        | 1377.0 | 552177 | 2.4179          | {'f1': 0.8299232736572889} | {'accuracy': 0.7449664429530202} |
| 0.012         | 1378.0 | 552578 | 2.1510          | {'f1': 0.834726688102894}  | {'accuracy': 0.7535953978907}    |
| 0.012         | 1379.0 | 552979 | 2.1921          | {'f1': 0.8341772151898734} | {'accuracy': 0.7488015340364333} |
| 0.0169        | 1380.0 | 553380 | 2.0823          | {'f1': 0.8328981723237598} | {'accuracy': 0.7545541706615532} |
| 0.0151        | 1381.0 | 553781 | 2.2972          | {'f1': 0.8286082474226804} | {'accuracy': 0.7449664429530202} |
| 0.0191        | 1382.0 | 554182 | 2.4458          | {'f1': 0.8318584070796461} | {'accuracy': 0.7449664429530202} |
| 0.0144        | 1383.0 | 554583 | 2.3381          | {'f1': 0.8290488431876606} | {'accuracy': 0.7449664429530202} |
| 0.0144        | 1384.0 | 554984 | 2.1075          | {'f1': 0.8159468438538205} | {'accuracy': 0.7344199424736337} |
| 0.0206        | 1385.0 | 555385 | 2.3354          | {'f1': 0.8355726167626361} | {'accuracy': 0.7535953978907}    |
| 0.0157        | 1386.0 | 555786 | 2.1504          | {'f1': 0.8186046511627907} | {'accuracy': 0.738255033557047}  |
| 0.0172        | 1387.0 | 556187 | 2.1727          | {'f1': 0.8367088607594937} | {'accuracy': 0.7526366251198466} |
| 0.0087        | 1388.0 | 556588 | 2.3450          | {'f1': 0.8310038119440915} | {'accuracy': 0.7449664429530202} |
| 0.0087        | 1389.0 | 556989 | 2.4706          | {'f1': 0.8414481897627966} | {'accuracy': 0.7564717162032598} |
| 0.0134        | 1390.0 | 557390 | 2.1680          | {'f1': 0.8226120857699806} | {'accuracy': 0.738255033557047}  |
| 0.016         | 1391.0 | 557791 | 2.2512          | {'f1': 0.8281150159744408} | {'accuracy': 0.7420901246404602} |
| 0.0211        | 1392.0 | 558192 | 2.2836          | {'f1': 0.8325849903784478} | {'accuracy': 0.7497603068072867} |
| 0.0189        | 1393.0 | 558593 | 2.2882          | {'f1': 0.8312182741116751} | {'accuracy': 0.7449664429530202} |
| 0.0189        | 1394.0 | 558994 | 2.2169          | {'f1': 0.833756345177665}  | {'accuracy': 0.7488015340364333} |
| 0.0198        | 1395.0 | 559395 | 2.0391          | {'f1': 0.8333333333333333} | {'accuracy': 0.7449664429530202} |
| 0.017         | 1396.0 | 559796 | 2.2678          | {'f1': 0.8267515923566878} | {'accuracy': 0.7392138063279002} |
| 0.0148        | 1397.0 | 560197 | 2.2377          | {'f1': 0.8311026131293818} | {'accuracy': 0.7459252157238735} |
| 0.0146        | 1398.0 | 560598 | 2.1479          | {'f1': 0.8304542546385157} | {'accuracy': 0.7459252157238735} |
| 0.0146        | 1399.0 | 560999 | 2.2161          | {'f1': 0.8171052631578947} | {'accuracy': 0.7334611697027804} |
| 0.0156        | 1400.0 | 561400 | 2.2413          | {'f1': 0.8282566429034349} | {'accuracy': 0.7459252157238735} |
| 0.0158        | 1401.0 | 561801 | 2.1428          | {'f1': 0.8298969072164948} | {'accuracy': 0.7468839884947267} |
| 0.0152        | 1402.0 | 562202 | 2.2739          | {'f1': 0.8310038119440915} | {'accuracy': 0.7449664429530202} |
| 0.0135        | 1403.0 | 562603 | 2.1586          | {'f1': 0.8274509803921569} | {'accuracy': 0.7468839884947267} |
| 0.0173        | 1404.0 | 563004 | 2.3640          | {'f1': 0.8333333333333333} | {'accuracy': 0.7488015340364333} |
| 0.0173        | 1405.0 | 563405 | 2.1089          | {'f1': 0.8267716535433071} | {'accuracy': 0.7468839884947267} |
| 0.011         | 1406.0 | 563806 | 2.4176          | {'f1': 0.8320610687022901} | {'accuracy': 0.7468839884947267} |
| 0.0156        | 1407.0 | 564207 | 2.5272          | {'f1': 0.8278950735764556} | {'accuracy': 0.7420901246404602} |
| 0.0082        | 1408.0 | 564608 | 2.5365          | {'f1': 0.8291424887169568} | {'accuracy': 0.7459252157238735} |
| 0.0107        | 1409.0 | 565009 | 2.2477          | {'f1': 0.831270358306189}  | {'accuracy': 0.7516778523489933} |
| 0.0107        | 1410.0 | 565410 | 2.3145          | {'f1': 0.8357641090678504} | {'accuracy': 0.7516778523489933} |
| 0.0171        | 1411.0 | 565811 | 2.3733          | {'f1': 0.8269230769230769} | {'accuracy': 0.7411313518696069} |
| 0.0172        | 1412.0 | 566212 | 2.4639          | {'f1': 0.829109811565952}  | {'accuracy': 0.74784276126558}   |
| 0.0167        | 1413.0 | 566613 | 2.2847          | {'f1': 0.8245161290322582} | {'accuracy': 0.7392138063279002} |
| 0.0132        | 1414.0 | 567014 | 2.4261          | {'f1': 0.8341772151898734} | {'accuracy': 0.7488015340364333} |
| 0.0132        | 1415.0 | 567415 | 2.2446          | {'f1': 0.8292682926829269} | {'accuracy': 0.7516778523489933} |
| 0.0154        | 1416.0 | 567816 | 2.2487          | {'f1': 0.8376830044557607} | {'accuracy': 0.7555129434324065} |
| 0.0116        | 1417.0 | 568217 | 2.3641          | {'f1': 0.8289557975656631} | {'accuracy': 0.7440076701821668} |
| 0.0135        | 1418.0 | 568618 | 2.2029          | {'f1': 0.8343079922027291} | {'accuracy': 0.7555129434324065} |
| 0.0129        | 1419.0 | 569019 | 2.6628          | {'f1': 0.8288973384030417} | {'accuracy': 0.7411313518696069} |
| 0.0129        | 1420.0 | 569420 | 2.4173          | {'f1': 0.8384663733500944} | {'accuracy': 0.7535953978907}    |
| 0.0153        | 1421.0 | 569821 | 2.5045          | {'f1': 0.8307888040712469} | {'accuracy': 0.7449664429530202} |
| 0.0179        | 1422.0 | 570222 | 2.6604          | {'f1': 0.8319488817891375} | {'accuracy': 0.74784276126558}   |
| 0.0111        | 1423.0 | 570623 | 2.1191          | {'f1': 0.8341836734693877} | {'accuracy': 0.75071907957814}   |
| 0.0195        | 1424.0 | 571024 | 2.0659          | {'f1': 0.8338678640153945} | {'accuracy': 0.7516778523489933} |
| 0.0195        | 1425.0 | 571425 | 2.4067          | {'f1': 0.8245161290322582} | {'accuracy': 0.7392138063279002} |
| 0.0136        | 1426.0 | 571826 | 2.5091          | {'f1': 0.8217054263565892} | {'accuracy': 0.7353787152444871} |
| 0.0107        | 1427.0 | 572227 | 1.6932          | {'f1': 0.8239895697522815} | {'accuracy': 0.7411313518696069} |
| 0.0149        | 1428.0 | 572628 | 2.4026          | {'f1': 0.8353312302839118} | {'accuracy': 0.7497603068072867} |
| 0.0126        | 1429.0 | 573029 | 2.2117          | {'f1': 0.8249180327868852} | {'accuracy': 0.7440076701821668} |
| 0.0126        | 1430.0 | 573430 | 2.4085          | {'f1': 0.8221498371335504} | {'accuracy': 0.738255033557047}  |
| 0.0104        | 1431.0 | 573831 | 2.3849          | {'f1': 0.8255208333333333} | {'accuracy': 0.7430488974113135} |
| 0.0105        | 1432.0 | 574232 | 2.0794          | {'f1': 0.8276745675848817} | {'accuracy': 0.7420901246404602} |
| 0.0104        | 1433.0 | 574633 | 2.4360          | {'f1': 0.8301404853128992} | {'accuracy': 0.7449664429530202} |
| 0.0113        | 1434.0 | 575034 | 2.4210          | {'f1': 0.8263707571801565} | {'accuracy': 0.7449664429530202} |
| 0.0113        | 1435.0 | 575435 | 2.3157          | {'f1': 0.8330084470435347} | {'accuracy': 0.7535953978907}    |
| 0.0142        | 1436.0 | 575836 | 2.3088          | {'f1': 0.8314028314028314} | {'accuracy': 0.7488015340364333} |
| 0.0108        | 1437.0 | 576237 | 2.4176          | {'f1': 0.8350649350649352} | {'accuracy': 0.7564717162032598} |
| 0.0115        | 1438.0 | 576638 | 1.9995          | {'f1': 0.8289557975656631} | {'accuracy': 0.7440076701821668} |
| 0.0146        | 1439.0 | 577039 | 1.8799          | {'f1': 0.832901554404145}  | {'accuracy': 0.7526366251198466} |
| 0.0146        | 1440.0 | 577440 | 2.1014          | {'f1': 0.8358974358974359} | {'accuracy': 0.7545541706615532} |
| 0.0119        | 1441.0 | 577841 | 2.4673          | {'f1': 0.8349267049075845} | {'accuracy': 0.7516778523489933} |
| 0.0105        | 1442.0 | 578242 | 2.1858          | {'f1': 0.8337628865979381} | {'accuracy': 0.7526366251198466} |
| 0.0153        | 1443.0 | 578643 | 2.5232          | {'f1': 0.8313878080415046} | {'accuracy': 0.75071907957814}   |
| 0.0093        | 1444.0 | 579044 | 2.5259          | {'f1': 0.8369497830130194} | {'accuracy': 0.74784276126558}   |
| 0.0093        | 1445.0 | 579445 | 2.1977          | {'f1': 0.8399487836107554} | {'accuracy': 0.7603068072866731} |
| 0.0154        | 1446.0 | 579846 | 2.2186          | {'f1': 0.8267358857884491} | {'accuracy': 0.7440076701821668} |
| 0.0116        | 1447.0 | 580247 | 2.3791          | {'f1': 0.8299935358758889} | {'accuracy': 0.74784276126558}   |
| 0.0107        | 1448.0 | 580648 | 2.0429          | {'f1': 0.8343156516044532} | {'accuracy': 0.7574304889741131} |
| 0.0151        | 1449.0 | 581049 | 2.0489          | {'f1': 0.8283870967741936} | {'accuracy': 0.7449664429530202} |
| 0.0151        | 1450.0 | 581450 | 2.2200          | {'f1': 0.8305304010349288} | {'accuracy': 0.7488015340364333} |
| 0.0167        | 1451.0 | 581851 | 2.4740          | {'f1': 0.8315457413249213} | {'accuracy': 0.7440076701821668} |
| 0.0088        | 1452.0 | 582252 | 2.3081          | {'f1': 0.8311855670103093} | {'accuracy': 0.7488015340364333} |
| 0.0103        | 1453.0 | 582653 | 1.8291          | {'f1': 0.8275418275418275} | {'accuracy': 0.7430488974113135} |
| 0.0183        | 1454.0 | 583054 | 2.0062          | {'f1': 0.8215931533903883} | {'accuracy': 0.7401725790987536} |
| 0.0183        | 1455.0 | 583455 | 2.0697          | {'f1': 0.8335500650195059} | {'accuracy': 0.7545541706615532} |
| 0.0147        | 1456.0 | 583856 | 2.3095          | {'f1': 0.8308681672025723} | {'accuracy': 0.74784276126558}   |
| 0.0093        | 1457.0 | 584257 | 2.3770          | {'f1': 0.8287937743190662} | {'accuracy': 0.7468839884947267} |
| 0.0101        | 1458.0 | 584658 | 2.0539          | {'f1': 0.8288874430709173} | {'accuracy': 0.74784276126558}   |
| 0.0143        | 1459.0 | 585059 | 2.3108          | {'f1': 0.83502538071066}   | {'accuracy': 0.75071907957814}   |
| 0.0143        | 1460.0 | 585460 | 2.1947          | {'f1': 0.8380952380952381} | {'accuracy': 0.7555129434324065} |
| 0.0192        | 1461.0 | 585861 | 2.2704          | {'f1': 0.8218997361477572} | {'accuracy': 0.7411313518696069} |
| 0.011         | 1462.0 | 586262 | 2.5194          | {'f1': 0.83011583011583}   | {'accuracy': 0.7468839884947267} |
| 0.0103        | 1463.0 | 586663 | 2.5173          | {'f1': 0.8340694006309148} | {'accuracy': 0.74784276126558}   |
| 0.0083        | 1464.0 | 587064 | 2.5439          | {'f1': 0.832908163265306}  | {'accuracy': 0.7488015340364333} |
| 0.0083        | 1465.0 | 587465 | 2.1878          | {'f1': 0.8242894056847546} | {'accuracy': 0.7392138063279002} |
| 0.0092        | 1466.0 | 587866 | 2.4524          | {'f1': 0.8313329121920405} | {'accuracy': 0.7440076701821668} |
| 0.0133        | 1467.0 | 588267 | 2.1188          | {'f1': 0.8312020460358057} | {'accuracy': 0.7468839884947267} |
| 0.0141        | 1468.0 | 588668 | 2.4474          | {'f1': 0.8352638352638353} | {'accuracy': 0.7545541706615532} |
| 0.0129        | 1469.0 | 589069 | 1.9551          | {'f1': 0.8387096774193549} | {'accuracy': 0.7555129434324065} |
| 0.0129        | 1470.0 | 589470 | 2.3131          | {'f1': 0.8349267049075845} | {'accuracy': 0.7516778523489933} |
| 0.0101        | 1471.0 | 589871 | 2.3512          | {'f1': 0.8397435897435898} | {'accuracy': 0.7603068072866731} |
| 0.0088        | 1472.0 | 590272 | 2.4684          | {'f1': 0.8381430363864492} | {'accuracy': 0.7526366251198466} |
| 0.0082        | 1473.0 | 590673 | 2.1014          | {'f1': 0.8421717171717172} | {'accuracy': 0.7603068072866731} |
| 0.0109        | 1474.0 | 591074 | 1.8630          | {'f1': 0.8434343434343433} | {'accuracy': 0.7622243528283796} |
| 0.0109        | 1475.0 | 591475 | 2.0074          | {'f1': 0.826259946949602}  | {'accuracy': 0.7488015340364333} |
| 0.0158        | 1476.0 | 591876 | 2.3408          | {'f1': 0.8402061855670104} | {'accuracy': 0.7622243528283796} |
| 0.0075        | 1477.0 | 592277 | 2.2864          | {'f1': 0.8304542546385157} | {'accuracy': 0.7459252157238735} |
| 0.0109        | 1478.0 | 592678 | 2.3775          | {'f1': 0.8346153846153845} | {'accuracy': 0.7526366251198466} |
| 0.0107        | 1479.0 | 593079 | 2.1878          | {'f1': 0.8272727272727274} | {'accuracy': 0.7449664429530202} |
| 0.0107        | 1480.0 | 593480 | 2.4102          | {'f1': 0.8318471337579618} | {'accuracy': 0.7468839884947267} |
| 0.0098        | 1481.0 | 593881 | 2.5005          | {'f1': 0.8324742268041238} | {'accuracy': 0.75071907957814}   |
| 0.011         | 1482.0 | 594282 | 2.0799          | {'f1': 0.8289557975656631} | {'accuracy': 0.7440076701821668} |
| 0.0148        | 1483.0 | 594683 | 2.2567          | {'f1': 0.8413705583756345} | {'accuracy': 0.7603068072866731} |
| 0.008         | 1484.0 | 595084 | 2.0435          | {'f1': 0.836340206185567}  | {'accuracy': 0.7564717162032598} |
| 0.008         | 1485.0 | 595485 | 2.4089          | {'f1': 0.8315182575272262} | {'accuracy': 0.74784276126558}   |
| 0.0113        | 1486.0 | 595886 | 2.5054          | {'f1': 0.8373570520965693} | {'accuracy': 0.7545541706615532} |
| 0.015         | 1487.0 | 596287 | 2.4271          | {'f1': 0.835538752362949}  | {'accuracy': 0.7497603068072867} |
| 0.0085        | 1488.0 | 596688 | 2.2932          | {'f1': 0.8360864040660737} | {'accuracy': 0.7526366251198466} |
| 0.0119        | 1489.0 | 597089 | 2.1042          | {'f1': 0.8392405063291138} | {'accuracy': 0.7564717162032598} |
| 0.0119        | 1490.0 | 597490 | 2.6881          | {'f1': 0.834902699309479}  | {'accuracy': 0.74784276126558}   |
| 0.0068        | 1491.0 | 597891 | 2.4182          | {'f1': 0.8376830044557607} | {'accuracy': 0.7555129434324065} |
| 0.009         | 1492.0 | 598292 | 2.2172          | {'f1': 0.8401768793430195} | {'accuracy': 0.7574304889741131} |
| 0.011         | 1493.0 | 598693 | 2.1645          | {'f1': 0.8328035600762874} | {'accuracy': 0.74784276126558}   |
| 0.0094        | 1494.0 | 599094 | 2.3467          | {'f1': 0.8332243296272074} | {'accuracy': 0.7555129434324065} |
| 0.0094        | 1495.0 | 599495 | 2.5180          | {'f1': 0.8297055057618438} | {'accuracy': 0.7449664429530202} |
| 0.0116        | 1496.0 | 599896 | 2.4348          | {'f1': 0.8276745675848817} | {'accuracy': 0.7420901246404602} |
| 0.0137        | 1497.0 | 600297 | 2.5046          | {'f1': 0.8272251308900525} | {'accuracy': 0.7468839884947267} |
| 0.0115        | 1498.0 | 600698 | 2.2747          | {'f1': 0.832274459974587}  | {'accuracy': 0.7468839884947267} |
| 0.0133        | 1499.0 | 601099 | 2.3392          | {'f1': 0.8305304010349288} | {'accuracy': 0.7488015340364333} |
| 0.012         | 1500.0 | 601500 | 2.4719          | {'f1': 0.82736974262398}   | {'accuracy': 0.7363374880153404} |
| 0.012         | 1501.0 | 601901 | 2.4903          | {'f1': 0.8222506393861893} | {'accuracy': 0.7334611697027804} |
| 0.0081        | 1502.0 | 602302 | 2.0449          | {'f1': 0.8243589743589743} | {'accuracy': 0.7372962607861937} |
| 0.0095        | 1503.0 | 602703 | 2.2911          | {'f1': 0.8230719377835385} | {'accuracy': 0.738255033557047}  |
| 0.0068        | 1504.0 | 603104 | 2.3930          | {'f1': 0.831938184159691}  | {'accuracy': 0.7497603068072867} |
| 0.0151        | 1505.0 | 603505 | 1.9769          | {'f1': 0.8291424887169568} | {'accuracy': 0.7459252157238735} |
| 0.0151        | 1506.0 | 603906 | 2.1522          | {'f1': 0.8317214700193424} | {'accuracy': 0.7497603068072867} |
| 0.0106        | 1507.0 | 604307 | 2.4132          | {'f1': 0.8282958199356913} | {'accuracy': 0.7440076701821668} |
| 0.0077        | 1508.0 | 604708 | 2.1838          | {'f1': 0.8276745675848817} | {'accuracy': 0.7420901246404602} |
| 0.0132        | 1509.0 | 605109 | 2.1400          | {'f1': 0.8301886792452831} | {'accuracy': 0.7497603068072867} |
| 0.0072        | 1510.0 | 605510 | 1.8728          | {'f1': 0.8300907911802854} | {'accuracy': 0.7488015340364333} |
| 0.0072        | 1511.0 | 605911 | 1.8480          | {'f1': 0.835820895522388}  | {'accuracy': 0.7574304889741131} |
| 0.012         | 1512.0 | 606312 | 2.3675          | {'f1': 0.8339719029374203} | {'accuracy': 0.75071907957814}   |
| 0.0102        | 1513.0 | 606713 | 2.2101          | {'f1': 0.8349146110056926} | {'accuracy': 0.7497603068072867} |
| 0.0109        | 1514.0 | 607114 | 2.3728          | {'f1': 0.8329113924050634} | {'accuracy': 0.7468839884947267} |
| 0.011         | 1515.0 | 607515 | 2.1239          | {'f1': 0.8263473053892215} | {'accuracy': 0.7497603068072867} |
| 0.011         | 1516.0 | 607916 | 2.4084          | {'f1': 0.8333333333333333} | {'accuracy': 0.7488015340364333} |
| 0.01          | 1517.0 | 608317 | 2.4570          | {'f1': 0.83409238776838}   | {'accuracy': 0.7555129434324065} |
| 0.0066        | 1518.0 | 608718 | 2.5883          | {'f1': 0.8387909319899244} | {'accuracy': 0.7545541706615532} |
| 0.0092        | 1519.0 | 609119 | 2.1005          | {'f1': 0.8402822322001283} | {'accuracy': 0.7612655800575263} |
| 0.0128        | 1520.0 | 609520 | 2.2988          | {'f1': 0.8348271446862997} | {'accuracy': 0.7526366251198466} |
| 0.0128        | 1521.0 | 609921 | 2.4674          | {'f1': 0.8392857142857142} | {'accuracy': 0.7583892617449665} |
| 0.0084        | 1522.0 | 610322 | 2.3848          | {'f1': 0.839821314613912}  | {'accuracy': 0.7593480345158198} |
| 0.0073        | 1523.0 | 610723 | 2.4157          | {'f1': 0.8356687898089172} | {'accuracy': 0.7526366251198466} |
| 0.0111        | 1524.0 | 611124 | 2.5074          | {'f1': 0.8345864661654135} | {'accuracy': 0.7468839884947267} |
| 0.0144        | 1525.0 | 611525 | 2.0932          | {'f1': 0.8310679611650486} | {'accuracy': 0.7497603068072867} |
| 0.0144        | 1526.0 | 611926 | 2.2411          | {'f1': 0.8386683738796414} | {'accuracy': 0.7583892617449665} |
| 0.0088        | 1527.0 | 612327 | 2.3980          | {'f1': 0.8347055098163394} | {'accuracy': 0.7497603068072867} |
| 0.008         | 1528.0 | 612728 | 2.4182          | {'f1': 0.8356867779204109} | {'accuracy': 0.7545541706615532} |
| 0.0084        | 1529.0 | 613129 | 2.3841          | {'f1': 0.8420382165605096} | {'accuracy': 0.7622243528283796} |
| 0.011         | 1530.0 | 613530 | 2.5537          | {'f1': 0.8387096774193549} | {'accuracy': 0.7555129434324065} |
| 0.011         | 1531.0 | 613931 | 2.1922          | {'f1': 0.8404868673926971} | {'accuracy': 0.7612655800575263} |
| 0.0127        | 1532.0 | 614332 | 2.2234          | {'f1': 0.8397435897435898} | {'accuracy': 0.7603068072866731} |
| 0.0112        | 1533.0 | 614733 | 2.0402          | {'f1': 0.8365261813537676} | {'accuracy': 0.7545541706615532} |
| 0.0099        | 1534.0 | 615134 | 2.4584          | {'f1': 0.8392857142857142} | {'accuracy': 0.7583892617449665} |
| 0.0111        | 1535.0 | 615535 | 2.1772          | {'f1': 0.8414481897627966} | {'accuracy': 0.7564717162032598} |
| 0.0111        | 1536.0 | 615936 | 2.1437          | {'f1': 0.8390879478827362} | {'accuracy': 0.763183125599233}  |
| 0.0137        | 1537.0 | 616337 | 2.1388          | {'f1': 0.8359522313010685} | {'accuracy': 0.7497603068072867} |
| 0.0105        | 1538.0 | 616738 | 2.2335          | {'f1': 0.8427753023551878} | {'accuracy': 0.763183125599233}  |
| 0.0081        | 1539.0 | 617139 | 2.2384          | {'f1': 0.8434946574481458} | {'accuracy': 0.7612655800575263} |
| 0.0088        | 1540.0 | 617540 | 1.8035          | {'f1': 0.8338720103425986} | {'accuracy': 0.7535953978907}    |
| 0.0088        | 1541.0 | 617941 | 2.2136          | {'f1': 0.8329048843187661} | {'accuracy': 0.75071907957814}   |
| 0.0123        | 1542.0 | 618342 | 2.2958          | {'f1': 0.8292682926829269} | {'accuracy': 0.7516778523489933} |
| 0.0099        | 1543.0 | 618743 | 2.1537          | {'f1': 0.8385449904275686} | {'accuracy': 0.7574304889741131} |
| 0.0096        | 1544.0 | 619144 | 2.1160          | {'f1': 0.8348157560355782} | {'accuracy': 0.75071907957814}   |
| 0.0107        | 1545.0 | 619545 | 2.2831          | {'f1': 0.8387507966857872} | {'accuracy': 0.7574304889741131} |
| 0.0107        | 1546.0 | 619946 | 2.3361          | {'f1': 0.8390804597701149} | {'accuracy': 0.7583892617449665} |
| 0.0074        | 1547.0 | 620347 | 2.4081          | {'f1': 0.8356164383561643} | {'accuracy': 0.7468839884947267} |
| 0.0101        | 1548.0 | 620748 | 2.4343          | {'f1': 0.8332276474318325} | {'accuracy': 0.74784276126558}   |
| 0.0094        | 1549.0 | 621149 | 2.3422          | {'f1': 0.8401768793430195} | {'accuracy': 0.7574304889741131} |
| 0.01          | 1550.0 | 621550 | 2.2897          | {'f1': 0.834726688102894}  | {'accuracy': 0.7535953978907}    |
| 0.01          | 1551.0 | 621951 | 2.5493          | {'f1': 0.8367088607594937} | {'accuracy': 0.7526366251198466} |
| 0.008         | 1552.0 | 622352 | 2.1688          | {'f1': 0.8405063291139242} | {'accuracy': 0.7583892617449665} |
| 0.013         | 1553.0 | 622753 | 2.5384          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0085        | 1554.0 | 623154 | 2.2767          | {'f1': 0.8401253918495297} | {'accuracy': 0.7555129434324065} |
| 0.0111        | 1555.0 | 623555 | 2.1120          | {'f1': 0.8415094339622642} | {'accuracy': 0.7583892617449665} |
| 0.0111        | 1556.0 | 623956 | 2.3020          | {'f1': 0.8350125944584383} | {'accuracy': 0.7488015340364333} |
| 0.0091        | 1557.0 | 624357 | 2.2317          | {'f1': 0.8396946564885497} | {'accuracy': 0.7583892617449665} |
| 0.0126        | 1558.0 | 624758 | 2.4643          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0107        | 1559.0 | 625159 | 2.4495          | {'f1': 0.8346055979643766} | {'accuracy': 0.75071907957814}   |
| 0.0065        | 1560.0 | 625560 | 2.4634          | {'f1': 0.83322601416613}   | {'accuracy': 0.7516778523489933} |
| 0.0065        | 1561.0 | 625961 | 2.7013          | {'f1': 0.8374760994263862} | {'accuracy': 0.7555129434324065} |
| 0.0061        | 1562.0 | 626362 | 2.3126          | {'f1': 0.8334413480233311} | {'accuracy': 0.7535953978907}    |
| 0.0097        | 1563.0 | 626763 | 2.2587          | {'f1': 0.8358974358974359} | {'accuracy': 0.7545541706615532} |
| 0.0131        | 1564.0 | 627164 | 2.6240          | {'f1': 0.8303571428571429} | {'accuracy': 0.7449664429530202} |
| 0.0062        | 1565.0 | 627565 | 2.5113          | {'f1': 0.8320312500000001} | {'accuracy': 0.7526366251198466} |
| 0.0062        | 1566.0 | 627966 | 2.7554          | {'f1': 0.8357457520453115} | {'accuracy': 0.7497603068072867} |
| 0.0069        | 1567.0 | 628367 | 2.4550          | {'f1': 0.8375080282594733} | {'accuracy': 0.7574304889741131} |
| 0.0094        | 1568.0 | 628768 | 2.6335          | {'f1': 0.8309677419354838} | {'accuracy': 0.7488015340364333} |
| 0.0091        | 1569.0 | 629169 | 2.5512          | {'f1': 0.8380462724935733} | {'accuracy': 0.7583892617449665} |
| 0.0086        | 1570.0 | 629570 | 2.4633          | {'f1': 0.8342785129174544} | {'accuracy': 0.74784276126558}   |
| 0.0086        | 1571.0 | 629971 | 2.4943          | {'f1': 0.8368253968253969} | {'accuracy': 0.7535953978907}    |
| 0.0079        | 1572.0 | 630372 | 2.3871          | {'f1': 0.8356867779204109} | {'accuracy': 0.7545541706615532} |
| 0.0086        | 1573.0 | 630773 | 2.3118          | {'f1': 0.8377693282636249} | {'accuracy': 0.7545541706615532} |
| 0.0142        | 1574.0 | 631174 | 2.3579          | {'f1': 0.836340206185567}  | {'accuracy': 0.7564717162032598} |
| 0.0081        | 1575.0 | 631575 | 2.4121          | {'f1': 0.8347375243033053} | {'accuracy': 0.7555129434324065} |
| 0.0081        | 1576.0 | 631976 | 2.3331          | {'f1': 0.84}               | {'accuracy': 0.7622243528283796} |
| 0.0085        | 1577.0 | 632377 | 2.2221          | {'f1': 0.8435897435897436} | {'accuracy': 0.7660594439117929} |
| 0.01          | 1578.0 | 632778 | 2.2301          | {'f1': 0.8393316195372751} | {'accuracy': 0.7603068072866731} |
| 0.0083        | 1579.0 | 633179 | 2.4267          | {'f1': 0.8392056374119155} | {'accuracy': 0.7593480345158198} |
| 0.01          | 1580.0 | 633580 | 2.4569          | {'f1': 0.8438495857233907} | {'accuracy': 0.7651006711409396} |
| 0.01          | 1581.0 | 633981 | 2.2953          | {'f1': 0.8392857142857142} | {'accuracy': 0.7583892617449665} |
| 0.0104        | 1582.0 | 634382 | 2.4875          | {'f1': 0.8419721871049306} | {'accuracy': 0.7603068072866731} |
| 0.007         | 1583.0 | 634783 | 2.5150          | {'f1': 0.8346253229974161} | {'accuracy': 0.7545541706615532} |
| 0.0048        | 1584.0 | 635184 | 2.2513          | {'f1': 0.838206627680312}  | {'accuracy': 0.7612655800575263} |
| 0.0081        | 1585.0 | 635585 | 2.5805          | {'f1': 0.8448717948717949} | {'accuracy': 0.7679769894534996} |
| 0.0081        | 1586.0 | 635986 | 2.5219          | {'f1': 0.8311855670103093} | {'accuracy': 0.7488015340364333} |
| 0.0062        | 1587.0 | 636387 | 2.5214          | {'f1': 0.835427135678392}  | {'accuracy': 0.7488015340364333} |
| 0.0094        | 1588.0 | 636788 | 2.2688          | {'f1': 0.8364099299809039} | {'accuracy': 0.7535953978907}    |
| 0.0072        | 1589.0 | 637189 | 2.5787          | {'f1': 0.8292367399741268} | {'accuracy': 0.7468839884947267} |
| 0.0062        | 1590.0 | 637590 | 2.7719          | {'f1': 0.8270967741935484} | {'accuracy': 0.7430488974113135} |
| 0.0062        | 1591.0 | 637991 | 2.9048          | {'f1': 0.8324937027707808} | {'accuracy': 0.7449664429530202} |
| 0.0036        | 1592.0 | 638392 | 2.5538          | {'f1': 0.8375314861460957} | {'accuracy': 0.7526366251198466} |
| 0.0129        | 1593.0 | 638793 | 2.3358          | {'f1': 0.8371794871794872} | {'accuracy': 0.7564717162032598} |
| 0.0088        | 1594.0 | 639194 | 2.2924          | {'f1': 0.8340750158931978} | {'accuracy': 0.7497603068072867} |
| 0.0093        | 1595.0 | 639595 | 2.3236          | {'f1': 0.8327825512227361} | {'accuracy': 0.7574304889741131} |
| 0.0093        | 1596.0 | 639996 | 2.4215          | {'f1': 0.8427109974424553} | {'accuracy': 0.7641418983700863} |
| 0.0076        | 1597.0 | 640397 | 2.3087          | {'f1': 0.8387516254876464} | {'accuracy': 0.7622243528283796} |
| 0.0098        | 1598.0 | 640798 | 2.4805          | {'f1': 0.8419705694177864} | {'accuracy': 0.763183125599233}  |
| 0.0053        | 1599.0 | 641199 | 2.4255          | {'f1': 0.8399487836107554} | {'accuracy': 0.7603068072866731} |
| 0.0093        | 1600.0 | 641600 | 2.3467          | {'f1': 0.8330033003300329} | {'accuracy': 0.7574304889741131} |
| 0.0058        | 1601.0 | 642001 | 2.4955          | {'f1': 0.8339920948616601} | {'accuracy': 0.7583892617449665} |
| 0.0058        | 1602.0 | 642402 | 2.5645          | {'f1': 0.8427109974424553} | {'accuracy': 0.7641418983700863} |
| 0.0074        | 1603.0 | 642803 | 2.4843          | {'f1': 0.8331193838254173} | {'accuracy': 0.75071907957814}   |
| 0.0064        | 1604.0 | 643204 | 2.3787          | {'f1': 0.8330134357005758} | {'accuracy': 0.7497603068072867} |
| 0.0112        | 1605.0 | 643605 | 2.4770          | {'f1': 0.8378033205619413} | {'accuracy': 0.7564717162032598} |
| 0.005         | 1606.0 | 644006 | 2.5795          | {'f1': 0.8338678640153945} | {'accuracy': 0.7516778523489933} |
| 0.005         | 1607.0 | 644407 | 2.4598          | {'f1': 0.8462500000000001} | {'accuracy': 0.7641418983700863} |
| 0.0104        | 1608.0 | 644808 | 2.2397          | {'f1': 0.8443877551020408} | {'accuracy': 0.7660594439117929} |
| 0.0063        | 1609.0 | 645209 | 2.5856          | {'f1': 0.8414403032217308} | {'accuracy': 0.7593480345158198} |
| 0.0075        | 1610.0 | 645610 | 2.5584          | {'f1': 0.8400770712909442} | {'accuracy': 0.7612655800575263} |
| 0.0046        | 1611.0 | 646011 | 2.7771          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0046        | 1612.0 | 646412 | 2.3936          | {'f1': 0.8381795195954488} | {'accuracy': 0.7545541706615532} |
| 0.0101        | 1613.0 | 646813 | 2.5508          | {'f1': 0.8379599741768883} | {'accuracy': 0.7593480345158198} |
| 0.0061        | 1614.0 | 647214 | 2.6579          | {'f1': 0.8372093023255814} | {'accuracy': 0.7516778523489933} |
| 0.0077        | 1615.0 | 647615 | 2.8177          | {'f1': 0.8357276702061213} | {'accuracy': 0.74784276126558}   |
| 0.0066        | 1616.0 | 648016 | 2.5408          | {'f1': 0.8409805153991201} | {'accuracy': 0.7574304889741131} |
| 0.0066        | 1617.0 | 648417 | 2.6770          | {'f1': 0.8410386320455985} | {'accuracy': 0.7593480345158198} |
| 0.0051        | 1618.0 | 648818 | 2.7553          | {'f1': 0.839821314613912}  | {'accuracy': 0.7593480345158198} |
| 0.0105        | 1619.0 | 649219 | 2.6149          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.011         | 1620.0 | 649620 | 2.4232          | {'f1': 0.8372686662412252} | {'accuracy': 0.7555129434324065} |
| 0.0076        | 1621.0 | 650021 | 2.2456          | {'f1': 0.8390367553865652} | {'accuracy': 0.7564717162032598} |
| 0.0076        | 1622.0 | 650422 | 2.4660          | {'f1': 0.841640378548896}  | {'accuracy': 0.7593480345158198} |
| 0.0057        | 1623.0 | 650823 | 2.5278          | {'f1': 0.8397435897435898} | {'accuracy': 0.7603068072866731} |
| 0.0057        | 1624.0 | 651224 | 2.3792          | {'f1': 0.8397435897435898} | {'accuracy': 0.7603068072866731} |
| 0.0095        | 1625.0 | 651625 | 2.4405          | {'f1': 0.8403041825095058} | {'accuracy': 0.7583892617449665} |
| 0.009         | 1626.0 | 652026 | 2.2924          | {'f1': 0.8350649350649352} | {'accuracy': 0.7564717162032598} |
| 0.009         | 1627.0 | 652427 | 2.4499          | {'f1': 0.8390804597701149} | {'accuracy': 0.7583892617449665} |
| 0.0047        | 1628.0 | 652828 | 2.4191          | {'f1': 0.8449466415568111} | {'accuracy': 0.763183125599233}  |
| 0.0088        | 1629.0 | 653229 | 2.3860          | {'f1': 0.8438287153652393} | {'accuracy': 0.7622243528283796} |
| 0.0085        | 1630.0 | 653630 | 2.1791          | {'f1': 0.8351368555060471} | {'accuracy': 0.7516778523489933} |
| 0.0076        | 1631.0 | 654031 | 2.5326          | {'f1': 0.8331226295828066} | {'accuracy': 0.7468839884947267} |
| 0.0076        | 1632.0 | 654432 | 2.5171          | {'f1': 0.8397234443746072} | {'accuracy': 0.7555129434324065} |
| 0.0063        | 1633.0 | 654833 | 2.2281          | {'f1': 0.8396756082345601} | {'accuracy': 0.7535953978907}    |
| 0.0063        | 1634.0 | 655234 | 2.3538          | {'f1': 0.8334396936821954} | {'accuracy': 0.7497603068072867} |
| 0.0041        | 1635.0 | 655635 | 2.4409          | {'f1': 0.8292682926829269} | {'accuracy': 0.7449664429530202} |
| 0.0075        | 1636.0 | 656036 | 2.7819          | {'f1': 0.8309239472030169} | {'accuracy': 0.7420901246404602} |
| 0.0075        | 1637.0 | 656437 | 2.7695          | {'f1': 0.8284625158831004} | {'accuracy': 0.7411313518696069} |
| 0.003         | 1638.0 | 656838 | 2.4919          | {'f1': 0.8316455696202532} | {'accuracy': 0.7449664429530202} |
| 0.0079        | 1639.0 | 657239 | 2.4634          | {'f1': 0.8395217117684078} | {'accuracy': 0.7555129434324065} |
| 0.0082        | 1640.0 | 657640 | 2.5190          | {'f1': 0.8279430789133246} | {'accuracy': 0.7449664429530202} |
| 0.007         | 1641.0 | 658041 | 2.3327          | {'f1': 0.8327994875080078} | {'accuracy': 0.7497603068072867} |
| 0.007         | 1642.0 | 658442 | 2.4059          | {'f1': 0.8355726167626361} | {'accuracy': 0.7535953978907}    |
| 0.0061        | 1643.0 | 658843 | 2.5723          | {'f1': 0.8443037974683545} | {'accuracy': 0.7641418983700863} |
| 0.0088        | 1644.0 | 659244 | 2.3166          | {'f1': 0.8397720075997466} | {'accuracy': 0.7574304889741131} |
| 0.0073        | 1645.0 | 659645 | 2.2971          | {'f1': 0.834293026231606}  | {'accuracy': 0.7516778523489933} |
| 0.0058        | 1646.0 | 660046 | 2.6448          | {'f1': 0.8340750158931978} | {'accuracy': 0.7497603068072867} |
| 0.0058        | 1647.0 | 660447 | 2.3263          | {'f1': 0.8303341902313626} | {'accuracy': 0.7468839884947267} |
| 0.0051        | 1648.0 | 660848 | 2.3813          | {'f1': 0.8380102040816327} | {'accuracy': 0.7564717162032598} |
| 0.0053        | 1649.0 | 661249 | 2.4205          | {'f1': 0.8382541720154044} | {'accuracy': 0.7583892617449665} |
| 0.0067        | 1650.0 | 661650 | 2.4641          | {'f1': 0.8365261813537676} | {'accuracy': 0.7545541706615532} |
| 0.0058        | 1651.0 | 662051 | 2.5083          | {'f1': 0.8368522072936659} | {'accuracy': 0.7555129434324065} |
| 0.0058        | 1652.0 | 662452 | 2.2537          | {'f1': 0.8358974358974359} | {'accuracy': 0.7545541706615532} |
| 0.0057        | 1653.0 | 662853 | 2.2666          | {'f1': 0.8325791855203619} | {'accuracy': 0.7516778523489933} |
| 0.0086        | 1654.0 | 663254 | 2.4583          | {'f1': 0.8368253968253969} | {'accuracy': 0.7535953978907}    |
| 0.0081        | 1655.0 | 663655 | 2.3808          | {'f1': 0.8329048843187661} | {'accuracy': 0.75071907957814}   |
| 0.0083        | 1656.0 | 664056 | 2.4406          | {'f1': 0.8387909319899244} | {'accuracy': 0.7545541706615532} |
| 0.0083        | 1657.0 | 664457 | 2.5305          | {'f1': 0.8326848249027238} | {'accuracy': 0.7526366251198466} |
| 0.0045        | 1658.0 | 664858 | 2.6602          | {'f1': 0.8323699421965319} | {'accuracy': 0.7497603068072867} |
| 0.0044        | 1659.0 | 665259 | 2.3236          | {'f1': 0.8378378378378379} | {'accuracy': 0.7583892617449665} |
| 0.0088        | 1660.0 | 665660 | 2.4613          | {'f1': 0.8400254939451881} | {'accuracy': 0.7593480345158198} |
| 0.0046        | 1661.0 | 666061 | 2.5055          | {'f1': 0.8359173126614987} | {'accuracy': 0.7564717162032598} |
| 0.0046        | 1662.0 | 666462 | 2.3114          | {'f1': 0.8421052631578947} | {'accuracy': 0.7641418983700863} |
| 0.0093        | 1663.0 | 666863 | 2.5699          | {'f1': 0.8420373952288847} | {'accuracy': 0.7651006711409396} |
| 0.0076        | 1664.0 | 667264 | 2.3307          | {'f1': 0.8414948453608248} | {'accuracy': 0.7641418983700863} |
| 0.008         | 1665.0 | 667665 | 2.5373          | {'f1': 0.8364336112892881} | {'accuracy': 0.7555129434324065} |
| 0.0034        | 1666.0 | 668066 | 2.7135          | {'f1': 0.839821314613912}  | {'accuracy': 0.7593480345158198} |
| 0.0034        | 1667.0 | 668467 | 2.6065          | {'f1': 0.8347160178685386} | {'accuracy': 0.7516778523489933} |
| 0.0056        | 1668.0 | 668868 | 2.8129          | {'f1': 0.8366179275270186} | {'accuracy': 0.7535953978907}    |
| 0.0058        | 1669.0 | 669269 | 2.6490          | {'f1': 0.8356687898089172} | {'accuracy': 0.7526366251198466} |
| 0.0052        | 1670.0 | 669670 | 2.4679          | {'f1': 0.8429022082018928} | {'accuracy': 0.7612655800575263} |
| 0.0062        | 1671.0 | 670071 | 2.5793          | {'f1': 0.8423707440100883} | {'accuracy': 0.7603068072866731} |
| 0.0062        | 1672.0 | 670472 | 2.6075          | {'f1': 0.8444444444444443} | {'accuracy': 0.7651006711409396} |
| 0.0059        | 1673.0 | 670873 | 2.3114          | {'f1': 0.8346153846153845} | {'accuracy': 0.7526366251198466} |
| 0.0066        | 1674.0 | 671274 | 2.5586          | {'f1': 0.8381795195954488} | {'accuracy': 0.7545541706615532} |
| 0.0075        | 1675.0 | 671675 | 2.3111          | {'f1': 0.833117723156533}  | {'accuracy': 0.7526366251198466} |
| 0.0076        | 1676.0 | 672076 | 2.3979          | {'f1': 0.8366179275270186} | {'accuracy': 0.7535953978907}    |
| 0.0076        | 1677.0 | 672477 | 2.0545          | {'f1': 0.8375080282594733} | {'accuracy': 0.7574304889741131} |
| 0.0069        | 1678.0 | 672878 | 2.2583          | {'f1': 0.8458093410108765} | {'accuracy': 0.7689357622243528} |
| 0.0047        | 1679.0 | 673279 | 2.4954          | {'f1': 0.8421052631578947} | {'accuracy': 0.7612655800575263} |
| 0.0053        | 1680.0 | 673680 | 2.5830          | {'f1': 0.8412397216951296} | {'accuracy': 0.7593480345158198} |
| 0.0045        | 1681.0 | 674081 | 2.7393          | {'f1': 0.8370323398858592} | {'accuracy': 0.7535953978907}    |
| 0.0045        | 1682.0 | 674482 | 2.5995          | {'f1': 0.8379746835443038} | {'accuracy': 0.7545541706615532} |
| 0.0052        | 1683.0 | 674883 | 2.7705          | {'f1': 0.8401015228426397} | {'accuracy': 0.7583892617449665} |
| 0.0023        | 1684.0 | 675284 | 2.6417          | {'f1': 0.8385449904275686} | {'accuracy': 0.7574304889741131} |
| 0.0027        | 1685.0 | 675685 | 2.7326          | {'f1': 0.8388324873096447} | {'accuracy': 0.7564717162032598} |
| 0.0075        | 1686.0 | 676086 | 2.7324          | {'f1': 0.8415094339622642} | {'accuracy': 0.7583892617449665} |
| 0.0075        | 1687.0 | 676487 | 2.7051          | {'f1': 0.8333333333333333} | {'accuracy': 0.75071907957814}   |
| 0.0052        | 1688.0 | 676888 | 2.6365          | {'f1': 0.8422391857506362} | {'accuracy': 0.7622243528283796} |
| 0.0063        | 1689.0 | 677289 | 2.6539          | {'f1': 0.8359721342621914} | {'accuracy': 0.7516778523489933} |
| 0.0089        | 1690.0 | 677690 | 2.3947          | {'f1': 0.8375634517766497} | {'accuracy': 0.7545541706615532} |
| 0.0078        | 1691.0 | 678091 | 2.4032          | {'f1': 0.839871382636656}  | {'accuracy': 0.7612655800575263} |
| 0.0078        | 1692.0 | 678492 | 2.6239          | {'f1': 0.8239895697522815} | {'accuracy': 0.7411313518696069} |
| 0.0033        | 1693.0 | 678893 | 2.7501          | {'f1': 0.8355899419729207} | {'accuracy': 0.7555129434324065} |
| 0.0055        | 1694.0 | 679294 | 2.6391          | {'f1': 0.8335483870967741} | {'accuracy': 0.7526366251198466} |
| 0.0073        | 1695.0 | 679695 | 2.7171          | {'f1': 0.8365930599369086} | {'accuracy': 0.7516778523489933} |
| 0.0054        | 1696.0 | 680096 | 2.6674          | {'f1': 0.8349389852280027} | {'accuracy': 0.7535953978907}    |
| 0.0054        | 1697.0 | 680497 | 2.6154          | {'f1': 0.838338658146965}  | {'accuracy': 0.7574304889741131} |
| 0.0063        | 1698.0 | 680898 | 2.3952          | {'f1': 0.8378033205619413} | {'accuracy': 0.7564717162032598} |
| 0.0063        | 1699.0 | 681299 | 2.6218          | {'f1': 0.8325849903784478} | {'accuracy': 0.7497603068072867} |
| 0.0062        | 1700.0 | 681700 | 2.7796          | {'f1': 0.8344870988042794} | {'accuracy': 0.74784276126558}   |
| 0.0039        | 1701.0 | 682101 | 2.8073          | {'f1': 0.8333333333333333} | {'accuracy': 0.7488015340364333} |
| 0.0045        | 1702.0 | 682502 | 2.4747          | {'f1': 0.8305732484076433} | {'accuracy': 0.7449664429530202} |
| 0.0045        | 1703.0 | 682903 | 2.3813          | {'f1': 0.8376830044557607} | {'accuracy': 0.7555129434324065} |
| 0.0058        | 1704.0 | 683304 | 2.5254          | {'f1': 0.8299935358758889} | {'accuracy': 0.74784276126558}   |
| 0.0053        | 1705.0 | 683705 | 2.3674          | {'f1': 0.8352788586251622} | {'accuracy': 0.7564717162032598} |
| 0.0052        | 1706.0 | 684106 | 2.5650          | {'f1': 0.8367346938775511} | {'accuracy': 0.7545541706615532} |
| 0.0047        | 1707.0 | 684507 | 2.5826          | {'f1': 0.8373570520965693} | {'accuracy': 0.7545541706615532} |
| 0.0047        | 1708.0 | 684908 | 2.3042          | {'f1': 0.8384615384615385} | {'accuracy': 0.7583892617449665} |
| 0.0093        | 1709.0 | 685309 | 2.4972          | {'f1': 0.8336544637122671} | {'accuracy': 0.7516778523489933} |
| 0.0075        | 1710.0 | 685710 | 2.4236          | {'f1': 0.8302130406714009} | {'accuracy': 0.74784276126558}   |
| 0.0072        | 1711.0 | 686111 | 2.4187          | {'f1': 0.8327953518398966} | {'accuracy': 0.7516778523489933} |
| 0.0053        | 1712.0 | 686512 | 2.5230          | {'f1': 0.835346471710108}  | {'accuracy': 0.7516778523489933} |
| 0.0053        | 1713.0 | 686913 | 2.2689          | {'f1': 0.8335467349551857} | {'accuracy': 0.75071907957814}   |
| 0.0076        | 1714.0 | 687314 | 2.2485          | {'f1': 0.8351507376523413} | {'accuracy': 0.7535953978907}    |
| 0.0048        | 1715.0 | 687715 | 2.3259          | {'f1': 0.8338637810311904} | {'accuracy': 0.7497603068072867} |
| 0.0087        | 1716.0 | 688116 | 2.4466          | {'f1': 0.8330182734719597} | {'accuracy': 0.7459252157238735} |
| 0.0065        | 1717.0 | 688517 | 2.4669          | {'f1': 0.83502538071066}   | {'accuracy': 0.75071907957814}   |
| 0.0065        | 1718.0 | 688918 | 2.6582          | {'f1': 0.8289891926255561} | {'accuracy': 0.7420901246404602} |
| 0.004         | 1719.0 | 689319 | 2.6222          | {'f1': 0.8386683738796414} | {'accuracy': 0.7583892617449665} |
| 0.0061        | 1720.0 | 689720 | 2.6133          | {'f1': 0.8408370323398858} | {'accuracy': 0.7593480345158198} |
| 0.0049        | 1721.0 | 690121 | 2.4972          | {'f1': 0.8383773341918868} | {'accuracy': 0.7593480345158198} |
| 0.0038        | 1722.0 | 690522 | 2.6090          | {'f1': 0.8390367553865652} | {'accuracy': 0.7564717162032598} |
| 0.0038        | 1723.0 | 690923 | 2.6528          | {'f1': 0.836340206185567}  | {'accuracy': 0.7564717162032598} |
| 0.0036        | 1724.0 | 691324 | 2.6965          | {'f1': 0.840251572327044}  | {'accuracy': 0.7564717162032598} |
| 0.0065        | 1725.0 | 691725 | 2.5383          | {'f1': 0.8291721419185284} | {'accuracy': 0.75071907957814}   |
| 0.0038        | 1726.0 | 692126 | 2.5855          | {'f1': 0.8334413480233311} | {'accuracy': 0.7535953978907}    |
| 0.0064        | 1727.0 | 692527 | 2.6035          | {'f1': 0.8304319793681496} | {'accuracy': 0.74784276126558}   |
| 0.0064        | 1728.0 | 692928 | 2.6798          | {'f1': 0.8380592312539382} | {'accuracy': 0.7535953978907}    |
| 0.0046        | 1729.0 | 693329 | 2.4866          | {'f1': 0.834726688102894}  | {'accuracy': 0.7535953978907}    |
| 0.0059        | 1730.0 | 693730 | 2.3016          | {'f1': 0.834403080872914}  | {'accuracy': 0.7526366251198466} |
| 0.0081        | 1731.0 | 694131 | 2.5490          | {'f1': 0.8378893833439287} | {'accuracy': 0.7555129434324065} |
| 0.004         | 1732.0 | 694532 | 2.5366          | {'f1': 0.8350383631713555} | {'accuracy': 0.7526366251198466} |
| 0.004         | 1733.0 | 694933 | 2.7084          | {'f1': 0.8388324873096447} | {'accuracy': 0.7564717162032598} |
| 0.0019        | 1734.0 | 695334 | 2.7241          | {'f1': 0.8360128617363345} | {'accuracy': 0.7555129434324065} |
| 0.0036        | 1735.0 | 695735 | 2.9344          | {'f1': 0.8413098236775819} | {'accuracy': 0.7583892617449665} |
| 0.0032        | 1736.0 | 696136 | 2.7233          | {'f1': 0.8412397216951296} | {'accuracy': 0.7593480345158198} |
| 0.0031        | 1737.0 | 696537 | 2.8682          | {'f1': 0.8408370323398858} | {'accuracy': 0.7593480345158198} |
| 0.0031        | 1738.0 | 696938 | 2.5962          | {'f1': 0.844106463878327}  | {'accuracy': 0.7641418983700863} |
| 0.0054        | 1739.0 | 697339 | 2.6224          | {'f1': 0.8431122448979593} | {'accuracy': 0.7641418983700863} |
| 0.0057        | 1740.0 | 697740 | 2.6496          | {'f1': 0.8362944162436549} | {'accuracy': 0.7526366251198466} |
| 0.0065        | 1741.0 | 698141 | 2.6702          | {'f1': 0.8393650793650793} | {'accuracy': 0.7574304889741131} |
| 0.0046        | 1742.0 | 698542 | 2.5869          | {'f1': 0.8375080282594733} | {'accuracy': 0.7574304889741131} |
| 0.0046        | 1743.0 | 698943 | 2.6396          | {'f1': 0.8351368555060471} | {'accuracy': 0.7516778523489933} |
| 0.0052        | 1744.0 | 699344 | 2.7841          | {'f1': 0.8382541720154044} | {'accuracy': 0.7583892617449665} |
| 0.0019        | 1745.0 | 699745 | 2.7361          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0044        | 1746.0 | 700146 | 2.8370          | {'f1': 0.8415094339622642} | {'accuracy': 0.7583892617449665} |
| 0.004         | 1747.0 | 700547 | 2.8577          | {'f1': 0.8359721342621914} | {'accuracy': 0.7516778523489933} |
| 0.004         | 1748.0 | 700948 | 2.8367          | {'f1': 0.8403041825095058} | {'accuracy': 0.7583892617449665} |
| 0.0053        | 1749.0 | 701349 | 2.9112          | {'f1': 0.8396946564885497} | {'accuracy': 0.7583892617449665} |
| 0.0025        | 1750.0 | 701750 | 2.8936          | {'f1': 0.8387909319899244} | {'accuracy': 0.7545541706615532} |
| 0.005         | 1751.0 | 702151 | 2.8212          | {'f1': 0.8388746803069054} | {'accuracy': 0.7583892617449665} |
| 0.0041        | 1752.0 | 702552 | 2.7394          | {'f1': 0.8363171355498722} | {'accuracy': 0.7545541706615532} |
| 0.0041        | 1753.0 | 702953 | 2.8245          | {'f1': 0.8359923420548819} | {'accuracy': 0.7535953978907}    |
| 0.0037        | 1754.0 | 703354 | 2.8312          | {'f1': 0.8361075544174137} | {'accuracy': 0.7545541706615532} |
| 0.0024        | 1755.0 | 703755 | 2.5594          | {'f1': 0.8350515463917526} | {'accuracy': 0.7545541706615532} |
| 0.0077        | 1756.0 | 704156 | 2.4482          | {'f1': 0.8345138441725692} | {'accuracy': 0.7535953978907}    |
| 0.002         | 1757.0 | 704557 | 2.6409          | {'f1': 0.8409669211195929} | {'accuracy': 0.7603068072866731} |
| 0.002         | 1758.0 | 704958 | 2.5793          | {'f1': 0.8355899419729207} | {'accuracy': 0.7555129434324065} |
| 0.0052        | 1759.0 | 705359 | 2.6299          | {'f1': 0.8388746803069054} | {'accuracy': 0.7583892617449665} |
| 0.004         | 1760.0 | 705760 | 2.6070          | {'f1': 0.834726688102894}  | {'accuracy': 0.7535953978907}    |
| 0.0053        | 1761.0 | 706161 | 2.5216          | {'f1': 0.8374446552814674} | {'accuracy': 0.7535953978907}    |
| 0.0062        | 1762.0 | 706562 | 2.6798          | {'f1': 0.8389134554643083} | {'accuracy': 0.7555129434324065} |
| 0.0062        | 1763.0 | 706963 | 2.3750          | {'f1': 0.8335483870967741} | {'accuracy': 0.7526366251198466} |
| 0.0076        | 1764.0 | 707364 | 2.7607          | {'f1': 0.839073262366938}  | {'accuracy': 0.7535953978907}    |
| 0.0028        | 1765.0 | 707765 | 2.6130          | {'f1': 0.8344958782498415} | {'accuracy': 0.7497603068072867} |
| 0.0055        | 1766.0 | 708166 | 2.6034          | {'f1': 0.8326797385620914} | {'accuracy': 0.7545541706615532} |
| 0.0035        | 1767.0 | 708567 | 2.7663          | {'f1': 0.8382165605095542} | {'accuracy': 0.7564717162032598} |
| 0.0035        | 1768.0 | 708968 | 2.7518          | {'f1': 0.8371212121212122} | {'accuracy': 0.7526366251198466} |
| 0.0047        | 1769.0 | 709369 | 2.3444          | {'f1': 0.8336569579288027} | {'accuracy': 0.7535953978907}    |
| 0.0036        | 1770.0 | 709770 | 2.5024          | {'f1': 0.8309677419354838} | {'accuracy': 0.7488015340364333} |
| 0.0031        | 1771.0 | 710171 | 2.4226          | {'f1': 0.8401015228426397} | {'accuracy': 0.7583892617449665} |
| 0.0059        | 1772.0 | 710572 | 2.6134          | {'f1': 0.8389134554643083} | {'accuracy': 0.7555129434324065} |
| 0.0059        | 1773.0 | 710973 | 2.5395          | {'f1': 0.8337628865979381} | {'accuracy': 0.7526366251198466} |
| 0.006         | 1774.0 | 711374 | 2.6910          | {'f1': 0.8374446552814674} | {'accuracy': 0.7535953978907}    |
| 0.0043        | 1775.0 | 711775 | 2.6508          | {'f1': 0.8394904458598725} | {'accuracy': 0.7583892617449665} |
| 0.0046        | 1776.0 | 712176 | 2.2803          | {'f1': 0.8351507376523413} | {'accuracy': 0.7535953978907}    |
| 0.0039        | 1777.0 | 712577 | 2.7084          | {'f1': 0.8375}             | {'accuracy': 0.75071907957814}   |
| 0.0039        | 1778.0 | 712978 | 2.4391          | {'f1': 0.8320413436692506} | {'accuracy': 0.75071907957814}   |
| 0.007         | 1779.0 | 713379 | 2.6448          | {'f1': 0.8412291933418694} | {'accuracy': 0.7622243528283796} |
| 0.0023        | 1780.0 | 713780 | 2.8286          | {'f1': 0.8380592312539382} | {'accuracy': 0.7535953978907}    |
| 0.0027        | 1781.0 | 714181 | 2.8325          | {'f1': 0.8434343434343433} | {'accuracy': 0.7622243528283796} |
| 0.0051        | 1782.0 | 714582 | 2.6243          | {'f1': 0.8369704749679076} | {'accuracy': 0.7564717162032598} |
| 0.0051        | 1783.0 | 714983 | 2.6622          | {'f1': 0.8353162179085786} | {'accuracy': 0.74784276126558}   |
| 0.0043        | 1784.0 | 715384 | 2.6014          | {'f1': 0.8337595907928389} | {'accuracy': 0.75071907957814}   |
| 0.005         | 1785.0 | 715785 | 2.5878          | {'f1': 0.8345047923322685} | {'accuracy': 0.7516778523489933} |
| 0.0032        | 1786.0 | 716186 | 2.7466          | {'f1': 0.8377693282636249} | {'accuracy': 0.7545541706615532} |
| 0.0016        | 1787.0 | 716587 | 2.8262          | {'f1': 0.8381795195954488} | {'accuracy': 0.7545541706615532} |
| 0.0016        | 1788.0 | 716988 | 2.8292          | {'f1': 0.8386691776522286} | {'accuracy': 0.7535953978907}    |
| 0.0043        | 1789.0 | 717389 | 2.7830          | {'f1': 0.8403041825095058} | {'accuracy': 0.7583892617449665} |
| 0.0028        | 1790.0 | 717790 | 2.6074          | {'f1': 0.8373879641485275} | {'accuracy': 0.7564717162032598} |
| 0.0068        | 1791.0 | 718191 | 2.6583          | {'f1': 0.8359522313010685} | {'accuracy': 0.7497603068072867} |
| 0.005         | 1792.0 | 718592 | 2.6678          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.005         | 1793.0 | 718993 | 2.6018          | {'f1': 0.8364336112892881} | {'accuracy': 0.7555129434324065} |
| 0.0033        | 1794.0 | 719394 | 2.7015          | {'f1': 0.8369426751592357} | {'accuracy': 0.7545541706615532} |
| 0.0031        | 1795.0 | 719795 | 2.8461          | {'f1': 0.8400503778337531} | {'accuracy': 0.7564717162032598} |
| 0.0016        | 1796.0 | 720196 | 2.7343          | {'f1': 0.8338762214983714} | {'accuracy': 0.7555129434324065} |
| 0.0028        | 1797.0 | 720597 | 2.8495          | {'f1': 0.8381317978246962} | {'accuracy': 0.7574304889741131} |
| 0.0028        | 1798.0 | 720998 | 2.5900          | {'f1': 0.8407479045776919} | {'accuracy': 0.763183125599233}  |
| 0.005         | 1799.0 | 721399 | 2.6968          | {'f1': 0.8394904458598725} | {'accuracy': 0.7583892617449665} |
| 0.0037        | 1800.0 | 721800 | 2.8437          | {'f1': 0.8395217117684078} | {'accuracy': 0.7555129434324065} |
| 0.0044        | 1801.0 | 722201 | 2.3908          | {'f1': 0.8452305748578648} | {'accuracy': 0.7651006711409396} |
| 0.0033        | 1802.0 | 722602 | 2.6763          | {'f1': 0.8435114503816794} | {'accuracy': 0.7641418983700863} |
| 0.0024        | 1803.0 | 723003 | 2.7676          | {'f1': 0.8453738910012675} | {'accuracy': 0.7660594439117929} |
| 0.0024        | 1804.0 | 723404 | 2.6193          | {'f1': 0.8439086294416244} | {'accuracy': 0.7641418983700863} |
| 0.0053        | 1805.0 | 723805 | 2.7303          | {'f1': 0.8385449904275686} | {'accuracy': 0.7574304889741131} |
| 0.0025        | 1806.0 | 724206 | 2.6265          | {'f1': 0.8400254939451881} | {'accuracy': 0.7593480345158198} |
| 0.0047        | 1807.0 | 724607 | 2.7407          | {'f1': 0.8411689961880559} | {'accuracy': 0.7603068072866731} |
| 0.0049        | 1808.0 | 725008 | 2.5945          | {'f1': 0.8404118404118406} | {'accuracy': 0.7622243528283796} |
| 0.0049        | 1809.0 | 725409 | 2.7053          | {'f1': 0.8405612244897959} | {'accuracy': 0.7603068072866731} |
| 0.0021        | 1810.0 | 725810 | 2.7480          | {'f1': 0.8416458852867831} | {'accuracy': 0.7564717162032598} |
| 0.0051        | 1811.0 | 726211 | 2.6730          | {'f1': 0.8433734939759037} | {'accuracy': 0.763183125599233}  |
| 0.0021        | 1812.0 | 726612 | 2.6699          | {'f1': 0.8404118404118406} | {'accuracy': 0.7622243528283796} |
| 0.0043        | 1813.0 | 727013 | 2.6681          | {'f1': 0.8418367346938777} | {'accuracy': 0.7622243528283796} |
| 0.0043        | 1814.0 | 727414 | 2.7602          | {'f1': 0.8415716096324461} | {'accuracy': 0.7603068072866731} |
| 0.0025        | 1815.0 | 727815 | 2.6684          | {'f1': 0.8425748884639899} | {'accuracy': 0.763183125599233}  |
| 0.0042        | 1816.0 | 728216 | 2.7011          | {'f1': 0.8406909788867563} | {'accuracy': 0.7612655800575263} |
| 0.0029        | 1817.0 | 728617 | 2.6725          | {'f1': 0.843650287172942}  | {'accuracy': 0.7651006711409396} |
| 0.0028        | 1818.0 | 729018 | 2.6201          | {'f1': 0.8405985686402083} | {'accuracy': 0.7651006711409396} |
| 0.0028        | 1819.0 | 729419 | 2.6945          | {'f1': 0.8460063897763579} | {'accuracy': 0.7689357622243528} |
| 0.0051        | 1820.0 | 729820 | 2.6645          | {'f1': 0.8426461143224149} | {'accuracy': 0.7651006711409396} |
| 0.0017        | 1821.0 | 730221 | 2.7897          | {'f1': 0.8447837150127226} | {'accuracy': 0.7660594439117929} |
| 0.0016        | 1822.0 | 730622 | 2.8400          | {'f1': 0.8420382165605096} | {'accuracy': 0.7622243528283796} |
| 0.0023        | 1823.0 | 731023 | 2.8817          | {'f1': 0.8410386320455985} | {'accuracy': 0.7593480345158198} |
| 0.0023        | 1824.0 | 731424 | 2.7786          | {'f1': 0.8445859872611465} | {'accuracy': 0.7660594439117929} |
| 0.0033        | 1825.0 | 731825 | 2.7473          | {'f1': 0.8402822322001283} | {'accuracy': 0.7612655800575263} |
| 0.0034        | 1826.0 | 732226 | 2.8191          | {'f1': 0.8470290771175728} | {'accuracy': 0.7679769894534996} |
| 0.0028        | 1827.0 | 732627 | 2.7988          | {'f1': 0.8436317780580076} | {'accuracy': 0.7622243528283796} |
| 0.0028        | 1828.0 | 733028 | 2.6751          | {'f1': 0.8432501599488165} | {'accuracy': 0.7651006711409396} |
| 0.0028        | 1829.0 | 733429 | 2.6557          | {'f1': 0.8423707440100883} | {'accuracy': 0.7603068072866731} |
| 0.0044        | 1830.0 | 733830 | 2.6860          | {'f1': 0.8419705694177864} | {'accuracy': 0.763183125599233}  |
| 0.0035        | 1831.0 | 734231 | 2.7019          | {'f1': 0.8412291933418694} | {'accuracy': 0.7622243528283796} |
| 0.0019        | 1832.0 | 734632 | 2.7205          | {'f1': 0.8387096774193549} | {'accuracy': 0.7555129434324065} |
| 0.0042        | 1833.0 | 735033 | 2.7107          | {'f1': 0.8378378378378379} | {'accuracy': 0.7583892617449665} |
| 0.0042        | 1834.0 | 735434 | 2.8087          | {'f1': 0.8416347381864623} | {'accuracy': 0.7622243528283796} |
| 0.0035        | 1835.0 | 735835 | 2.7708          | {'f1': 0.8429858429858431} | {'accuracy': 0.7660594439117929} |
| 0.0038        | 1836.0 | 736236 | 2.8128          | {'f1': 0.8415651058370751} | {'accuracy': 0.763183125599233}  |
| 0.0028        | 1837.0 | 736637 | 2.8505          | {'f1': 0.8439671509791535} | {'accuracy': 0.763183125599233}  |
| 0.0021        | 1838.0 | 737038 | 2.8126          | {'f1': 0.8428479794740218} | {'accuracy': 0.7651006711409396} |
| 0.0021        | 1839.0 | 737439 | 2.7264          | {'f1': 0.8443305573350417} | {'accuracy': 0.7670182166826462} |
| 0.0028        | 1840.0 | 737840 | 2.8628          | {'f1': 0.845620667926906}  | {'accuracy': 0.7651006711409396} |
| 0.0016        | 1841.0 | 738241 | 2.5945          | {'f1': 0.8433268858800773} | {'accuracy': 0.7670182166826462} |
| 0.0052        | 1842.0 | 738642 | 2.6368          | {'f1': 0.8431746031746032} | {'accuracy': 0.763183125599233}  |
| 0.0037        | 1843.0 | 739043 | 2.6159          | {'f1': 0.843236409608091}  | {'accuracy': 0.7622243528283796} |
| 0.0037        | 1844.0 | 739444 | 2.6887          | {'f1': 0.8435718809373022} | {'accuracy': 0.763183125599233}  |
| 0.0021        | 1845.0 | 739845 | 2.6875          | {'f1': 0.843236409608091}  | {'accuracy': 0.7622243528283796} |
| 0.0019        | 1846.0 | 740246 | 2.7068          | {'f1': 0.8439086294416244} | {'accuracy': 0.7641418983700863} |
| 0.0015        | 1847.0 | 740647 | 2.6309          | {'f1': 0.8450704225352114} | {'accuracy': 0.7679769894534996} |
| 0.0019        | 1848.0 | 741048 | 2.6037          | {'f1': 0.8443305573350417} | {'accuracy': 0.7670182166826462} |
| 0.0019        | 1849.0 | 741449 | 2.6820          | {'f1': 0.8425047438330171} | {'accuracy': 0.7612655800575263} |
| 0.0036        | 1850.0 | 741850 | 2.6864          | {'f1': 0.8394113883557262} | {'accuracy': 0.7593480345158198} |
| 0.0039        | 1851.0 | 742251 | 2.6781          | {'f1': 0.840251572327044}  | {'accuracy': 0.7564717162032598} |
| 0.003         | 1852.0 | 742652 | 2.6571          | {'f1': 0.8397720075997466} | {'accuracy': 0.7574304889741131} |
| 0.0035        | 1853.0 | 743053 | 2.6523          | {'f1': 0.8429022082018928} | {'accuracy': 0.7612655800575263} |
| 0.0035        | 1854.0 | 743454 | 2.6374          | {'f1': 0.8419047619047619} | {'accuracy': 0.7612655800575263} |
| 0.0036        | 1855.0 | 743855 | 2.6373          | {'f1': 0.8407643312101911} | {'accuracy': 0.7603068072866731} |
| 0.004         | 1856.0 | 744256 | 2.7006          | {'f1': 0.8400254939451881} | {'accuracy': 0.7593480345158198} |
| 0.0023        | 1857.0 | 744657 | 2.8141          | {'f1': 0.8423052564914503} | {'accuracy': 0.7612655800575263} |
| 0.0029        | 1858.0 | 745058 | 2.8080          | {'f1': 0.8415716096324461} | {'accuracy': 0.7603068072866731} |
| 0.0029        | 1859.0 | 745459 | 2.9025          | {'f1': 0.839073262366938}  | {'accuracy': 0.7535953978907}    |
| 0.0023        | 1860.0 | 745860 | 2.5824          | {'f1': 0.8401768793430195} | {'accuracy': 0.7574304889741131} |
| 0.0058        | 1861.0 | 746261 | 2.6345          | {'f1': 0.839568801521877}  | {'accuracy': 0.7574304889741131} |
| 0.0016        | 1862.0 | 746662 | 2.6826          | {'f1': 0.839568801521877}  | {'accuracy': 0.7574304889741131} |
| 0.0015        | 1863.0 | 747063 | 2.7246          | {'f1': 0.8434343434343433} | {'accuracy': 0.7622243528283796} |
| 0.0015        | 1864.0 | 747464 | 2.7682          | {'f1': 0.8394437420986094} | {'accuracy': 0.7564717162032598} |
| 0.0025        | 1865.0 | 747865 | 2.6325          | {'f1': 0.8376288659793815} | {'accuracy': 0.7583892617449665} |
| 0.0034        | 1866.0 | 748266 | 2.7350          | {'f1': 0.8408945686900958} | {'accuracy': 0.7612655800575263} |
| 0.0025        | 1867.0 | 748667 | 2.8103          | {'f1': 0.8389175257731959} | {'accuracy': 0.7603068072866731} |
| 0.0016        | 1868.0 | 749068 | 2.9105          | {'f1': 0.8399487836107554} | {'accuracy': 0.7603068072866731} |
| 0.0016        | 1869.0 | 749469 | 2.9085          | {'f1': 0.8402822322001283} | {'accuracy': 0.7612655800575263} |
| 0.0011        | 1870.0 | 749870 | 2.9515          | {'f1': 0.8421725239616613} | {'accuracy': 0.763183125599233}  |
| 0.0015        | 1871.0 | 750271 | 3.0233          | {'f1': 0.8403575989782885} | {'accuracy': 0.7603068072866731} |
| 0.0026        | 1872.0 | 750672 | 2.8606          | {'f1': 0.8361290322580646} | {'accuracy': 0.7564717162032598} |
| 0.0044        | 1873.0 | 751073 | 2.9509          | {'f1': 0.840378548895899}  | {'accuracy': 0.7574304889741131} |
| 0.0044        | 1874.0 | 751474 | 2.7899          | {'f1': 0.8397435897435898} | {'accuracy': 0.7603068072866731} |
| 0.0048        | 1875.0 | 751875 | 2.8711          | {'f1': 0.839821314613912}  | {'accuracy': 0.7593480345158198} |
| 0.0016        | 1876.0 | 752276 | 2.9244          | {'f1': 0.839821314613912}  | {'accuracy': 0.7593480345158198} |
| 0.0024        | 1877.0 | 752677 | 2.9735          | {'f1': 0.8402291534054743} | {'accuracy': 0.7593480345158198} |
| 0.003         | 1878.0 | 753078 | 2.9350          | {'f1': 0.8428390367553865} | {'accuracy': 0.7622243528283796} |
| 0.003         | 1879.0 | 753479 | 2.7649          | {'f1': 0.8400254939451881} | {'accuracy': 0.7593480345158198} |
| 0.0042        | 1880.0 | 753880 | 2.6952          | {'f1': 0.838709677419355}  | {'accuracy': 0.7603068072866731} |
| 0.0034        | 1881.0 | 754281 | 2.5917          | {'f1': 0.8383773341918868} | {'accuracy': 0.7593480345158198} |
| 0.003         | 1882.0 | 754682 | 2.7400          | {'f1': 0.8417721518987342} | {'accuracy': 0.7603068072866731} |
| 0.0025        | 1883.0 | 755083 | 2.8178          | {'f1': 0.8408370323398858} | {'accuracy': 0.7593480345158198} |
| 0.0025        | 1884.0 | 755484 | 2.8306          | {'f1': 0.8426395939086295} | {'accuracy': 0.7622243528283796} |
| 0.0014        | 1885.0 | 755885 | 2.8514          | {'f1': 0.8407643312101911} | {'accuracy': 0.7603068072866731} |
| 0.0025        | 1886.0 | 756286 | 2.6595          | {'f1': 0.8422391857506362} | {'accuracy': 0.7622243528283796} |
| 0.0036        | 1887.0 | 756687 | 2.6915          | {'f1': 0.8405063291139242} | {'accuracy': 0.7583892617449665} |
| 0.0016        | 1888.0 | 757088 | 2.7037          | {'f1': 0.8409669211195929} | {'accuracy': 0.7603068072866731} |
| 0.0016        | 1889.0 | 757489 | 2.6271          | {'f1': 0.8437900128040973} | {'accuracy': 0.7660594439117929} |
| 0.0033        | 1890.0 | 757890 | 2.6827          | {'f1': 0.8431122448979593} | {'accuracy': 0.7641418983700863} |
| 0.0027        | 1891.0 | 758291 | 2.5326          | {'f1': 0.8434504792332268} | {'accuracy': 0.7651006711409396} |
| 0.002         | 1892.0 | 758692 | 2.5853          | {'f1': 0.8425096030729833} | {'accuracy': 0.7641418983700863} |
| 0.0021        | 1893.0 | 759093 | 2.6142          | {'f1': 0.8430493273542601} | {'accuracy': 0.7651006711409396} |
| 0.0021        | 1894.0 | 759494 | 2.6887          | {'f1': 0.8444444444444443} | {'accuracy': 0.7651006711409396} |
| 0.0032        | 1895.0 | 759895 | 2.7187          | {'f1': 0.8446417247939126} | {'accuracy': 0.7651006711409396} |
| 0.0021        | 1896.0 | 760296 | 2.7225          | {'f1': 0.8429752066115702} | {'accuracy': 0.763183125599233}  |
| 0.0023        | 1897.0 | 760697 | 2.6753          | {'f1': 0.8379599741768883} | {'accuracy': 0.7593480345158198} |
| 0.0046        | 1898.0 | 761098 | 2.6555          | {'f1': 0.8375080282594733} | {'accuracy': 0.7574304889741131} |
| 0.0046        | 1899.0 | 761499 | 2.7358          | {'f1': 0.8403575989782885} | {'accuracy': 0.7603068072866731} |
| 0.0028        | 1900.0 | 761900 | 2.8107          | {'f1': 0.8409669211195929} | {'accuracy': 0.7603068072866731} |
| 0.0017        | 1901.0 | 762301 | 2.7447          | {'f1': 0.8416347381864623} | {'accuracy': 0.7622243528283796} |
| 0.0026        | 1902.0 | 762702 | 2.7790          | {'f1': 0.8381317978246962} | {'accuracy': 0.7574304889741131} |
| 0.0023        | 1903.0 | 763103 | 2.7833          | {'f1': 0.8405612244897959} | {'accuracy': 0.7603068072866731} |
| 0.0015        | 1904.0 | 763504 | 2.7735          | {'f1': 0.8394584139264991} | {'accuracy': 0.7612655800575263} |
| 0.0015        | 1905.0 | 763905 | 2.7152          | {'f1': 0.837299035369775}  | {'accuracy': 0.7574304889741131} |
| 0.0037        | 1906.0 | 764306 | 2.7566          | {'f1': 0.839871382636656}  | {'accuracy': 0.7612655800575263} |
| 0.0023        | 1907.0 | 764707 | 2.8053          | {'f1': 0.8399487836107554} | {'accuracy': 0.7603068072866731} |
| 0.0022        | 1908.0 | 765108 | 2.8044          | {'f1': 0.8406349206349206} | {'accuracy': 0.7593480345158198} |
| 0.0021        | 1909.0 | 765509 | 2.7904          | {'f1': 0.8422391857506362} | {'accuracy': 0.7622243528283796} |
| 0.0021        | 1910.0 | 765910 | 2.7279          | {'f1': 0.8392511297611364} | {'accuracy': 0.7612655800575263} |
| 0.0031        | 1911.0 | 766311 | 2.5815          | {'f1': 0.8408215661103978} | {'accuracy': 0.7622243528283796} |
| 0.0036        | 1912.0 | 766712 | 2.6413          | {'f1': 0.8421725239616613} | {'accuracy': 0.763183125599233}  |
| 0.0037        | 1913.0 | 767113 | 2.6444          | {'f1': 0.8427109974424553} | {'accuracy': 0.7641418983700863} |
| 0.0016        | 1914.0 | 767514 | 2.6911          | {'f1': 0.8461051298290057} | {'accuracy': 0.7670182166826462} |
| 0.0016        | 1915.0 | 767915 | 2.6524          | {'f1': 0.8417680973734787} | {'accuracy': 0.763183125599233}  |
| 0.0023        | 1916.0 | 768316 | 2.6627          | {'f1': 0.8446726572528884} | {'accuracy': 0.7679769894534996} |
| 0.0024        | 1917.0 | 768717 | 2.6998          | {'f1': 0.8454137267479153} | {'accuracy': 0.7689357622243528} |
| 0.002         | 1918.0 | 769118 | 2.7575          | {'f1': 0.8435114503816794} | {'accuracy': 0.7641418983700863} |
| 0.0018        | 1919.0 | 769519 | 2.7518          | {'f1': 0.8449809402795427} | {'accuracy': 0.7660594439117929} |
| 0.0018        | 1920.0 | 769920 | 2.6958          | {'f1': 0.8415651058370751} | {'accuracy': 0.763183125599233}  |
| 0.0027        | 1921.0 | 770321 | 2.7208          | {'f1': 0.8458093410108765} | {'accuracy': 0.7689357622243528} |
| 0.0022        | 1922.0 | 770722 | 2.7556          | {'f1': 0.8460063897763579} | {'accuracy': 0.7689357622243528} |
| 0.0012        | 1923.0 | 771123 | 2.8102          | {'f1': 0.8440483768300445} | {'accuracy': 0.7651006711409396} |
| 0.0015        | 1924.0 | 771524 | 2.8756          | {'f1': 0.8446417247939126} | {'accuracy': 0.7651006711409396} |
| 0.0015        | 1925.0 | 771925 | 2.8866          | {'f1': 0.8445006321112516} | {'accuracy': 0.7641418983700863} |
| 0.0021        | 1926.0 | 772326 | 2.8522          | {'f1': 0.8460559796437659} | {'accuracy': 0.7679769894534996} |
| 0.0016        | 1927.0 | 772727 | 2.9206          | {'f1': 0.8472222222222222} | {'accuracy': 0.7679769894534996} |
| 0.0023        | 1928.0 | 773128 | 2.9017          | {'f1': 0.8442466624284806} | {'accuracy': 0.7651006711409396} |
| 0.002         | 1929.0 | 773529 | 2.8669          | {'f1': 0.8433121019108281} | {'accuracy': 0.7641418983700863} |
| 0.002         | 1930.0 | 773930 | 2.8774          | {'f1': 0.8449809402795427} | {'accuracy': 0.7660594439117929} |
| 0.0028        | 1931.0 | 774331 | 2.9015          | {'f1': 0.8468809073724007} | {'accuracy': 0.7670182166826462} |
| 0.0022        | 1932.0 | 774732 | 2.7861          | {'f1': 0.8437900128040973} | {'accuracy': 0.7660594439117929} |
| 0.0024        | 1933.0 | 775133 | 2.8240          | {'f1': 0.8449809402795427} | {'accuracy': 0.7660594439117929} |
| 0.0021        | 1934.0 | 775534 | 2.8487          | {'f1': 0.8464467005076141} | {'accuracy': 0.7679769894534996} |
| 0.0021        | 1935.0 | 775935 | 2.8609          | {'f1': 0.8459099556119215} | {'accuracy': 0.7670182166826462} |
| 0.0017        | 1936.0 | 776336 | 2.8855          | {'f1': 0.8462998102466792} | {'accuracy': 0.7670182166826462} |
| 0.0015        | 1937.0 | 776737 | 2.8598          | {'f1': 0.8442466624284806} | {'accuracy': 0.7651006711409396} |
| 0.0022        | 1938.0 | 777138 | 2.8218          | {'f1': 0.8427835051546391} | {'accuracy': 0.7660594439117929} |
| 0.0025        | 1939.0 | 777539 | 2.8815          | {'f1': 0.8450347881087918} | {'accuracy': 0.7651006711409396} |
| 0.0025        | 1940.0 | 777940 | 2.7933          | {'f1': 0.8446726572528884} | {'accuracy': 0.7679769894534996} |
| 0.0028        | 1941.0 | 778341 | 2.7669          | {'f1': 0.842443729903537}  | {'accuracy': 0.7651006711409396} |
| 0.0023        | 1942.0 | 778742 | 2.8497          | {'f1': 0.8462998102466792} | {'accuracy': 0.7670182166826462} |
| 0.0016        | 1943.0 | 779143 | 2.7680          | {'f1': 0.8435897435897436} | {'accuracy': 0.7660594439117929} |
| 0.0025        | 1944.0 | 779544 | 2.8139          | {'f1': 0.8434504792332268} | {'accuracy': 0.7651006711409396} |
| 0.0025        | 1945.0 | 779945 | 2.8529          | {'f1': 0.8459099556119215} | {'accuracy': 0.7670182166826462} |
| 0.0019        | 1946.0 | 780346 | 2.8353          | {'f1': 0.8449266113592852} | {'accuracy': 0.7670182166826462} |
| 0.0015        | 1947.0 | 780747 | 2.8326          | {'f1': 0.8458093410108765} | {'accuracy': 0.7689357622243528} |
| 0.0015        | 1948.0 | 781148 | 2.9020          | {'f1': 0.8443037974683545} | {'accuracy': 0.7641418983700863} |
| 0.0024        | 1949.0 | 781549 | 2.8690          | {'f1': 0.8453214513049013} | {'accuracy': 0.7670182166826462} |
| 0.0024        | 1950.0 | 781950 | 2.8735          | {'f1': 0.8449266113592852} | {'accuracy': 0.7670182166826462} |
| 0.0013        | 1951.0 | 782351 | 2.8960          | {'f1': 0.8464467005076141} | {'accuracy': 0.7679769894534996} |
| 0.0022        | 1952.0 | 782752 | 2.9193          | {'f1': 0.8452305748578648} | {'accuracy': 0.7651006711409396} |
| 0.0014        | 1953.0 | 783153 | 2.9287          | {'f1': 0.8446969696969698} | {'accuracy': 0.7641418983700863} |
| 0.0014        | 1954.0 | 783554 | 2.9220          | {'f1': 0.8447837150127226} | {'accuracy': 0.7660594439117929} |
| 0.0014        | 1955.0 | 783955 | 2.9421          | {'f1': 0.844106463878327}  | {'accuracy': 0.7641418983700863} |
| 0.0012        | 1956.0 | 784356 | 2.8378          | {'f1': 0.8426461143224149} | {'accuracy': 0.7651006711409396} |
| 0.0039        | 1957.0 | 784757 | 2.8241          | {'f1': 0.8428479794740218} | {'accuracy': 0.7651006711409396} |
| 0.0025        | 1958.0 | 785158 | 2.8523          | {'f1': 0.8434504792332268} | {'accuracy': 0.7651006711409396} |
| 0.0029        | 1959.0 | 785559 | 2.7509          | {'f1': 0.8430493273542601} | {'accuracy': 0.7651006711409396} |
| 0.0029        | 1960.0 | 785960 | 2.7755          | {'f1': 0.8438495857233907} | {'accuracy': 0.7651006711409396} |
| 0.0016        | 1961.0 | 786361 | 2.7754          | {'f1': 0.8435897435897436} | {'accuracy': 0.7660594439117929} |
| 0.0018        | 1962.0 | 786762 | 2.7565          | {'f1': 0.8414948453608248} | {'accuracy': 0.7641418983700863} |
| 0.0017        | 1963.0 | 787163 | 2.7989          | {'f1': 0.8421725239616613} | {'accuracy': 0.763183125599233}  |
| 0.003         | 1964.0 | 787564 | 2.8220          | {'f1': 0.8438495857233907} | {'accuracy': 0.7651006711409396} |
| 0.003         | 1965.0 | 787965 | 2.8320          | {'f1': 0.8433121019108281} | {'accuracy': 0.7641418983700863} |
| 0.0011        | 1966.0 | 788366 | 2.8321          | {'f1': 0.843650287172942}  | {'accuracy': 0.7651006711409396} |
| 0.0017        | 1967.0 | 788767 | 2.8191          | {'f1': 0.8432501599488165} | {'accuracy': 0.7651006711409396} |
| 0.0038        | 1968.0 | 789168 | 2.8443          | {'f1': 0.8422391857506362} | {'accuracy': 0.7622243528283796} |
| 0.0031        | 1969.0 | 789569 | 2.8107          | {'f1': 0.8419705694177864} | {'accuracy': 0.763183125599233}  |
| 0.0031        | 1970.0 | 789970 | 2.8275          | {'f1': 0.8416347381864623} | {'accuracy': 0.7622243528283796} |
| 0.0014        | 1971.0 | 790371 | 2.8171          | {'f1': 0.8434504792332268} | {'accuracy': 0.7651006711409396} |
| 0.0026        | 1972.0 | 790772 | 2.8162          | {'f1': 0.8434504792332268} | {'accuracy': 0.7651006711409396} |
| 0.0016        | 1973.0 | 791173 | 2.8248          | {'f1': 0.8439897698209718} | {'accuracy': 0.7660594439117929} |
| 0.0016        | 1974.0 | 791574 | 2.8098          | {'f1': 0.8430493273542601} | {'accuracy': 0.7651006711409396} |
| 0.0016        | 1975.0 | 791975 | 2.8264          | {'f1': 0.8439897698209718} | {'accuracy': 0.7660594439117929} |
| 0.0014        | 1976.0 | 792376 | 2.8358          | {'f1': 0.8439897698209718} | {'accuracy': 0.7660594439117929} |
| 0.0014        | 1977.0 | 792777 | 2.8426          | {'f1': 0.8434504792332268} | {'accuracy': 0.7651006711409396} |
| 0.0021        | 1978.0 | 793178 | 2.8244          | {'f1': 0.8443305573350417} | {'accuracy': 0.7670182166826462} |
| 0.0025        | 1979.0 | 793579 | 2.8425          | {'f1': 0.8439897698209718} | {'accuracy': 0.7660594439117929} |
| 0.0025        | 1980.0 | 793980 | 2.8613          | {'f1': 0.8447284345047924} | {'accuracy': 0.7670182166826462} |
| 0.0012        | 1981.0 | 794381 | 2.8741          | {'f1': 0.8449266113592852} | {'accuracy': 0.7670182166826462} |
| 0.0012        | 1982.0 | 794782 | 2.8650          | {'f1': 0.8443877551020408} | {'accuracy': 0.7660594439117929} |
| 0.0022        | 1983.0 | 795183 | 2.8685          | {'f1': 0.8438495857233907} | {'accuracy': 0.7651006711409396} |
| 0.0022        | 1984.0 | 795584 | 2.8866          | {'f1': 0.8435114503816794} | {'accuracy': 0.7641418983700863} |
| 0.0022        | 1985.0 | 795985 | 2.8783          | {'f1': 0.8431746031746032} | {'accuracy': 0.763183125599233}  |
| 0.0033        | 1986.0 | 796386 | 2.8756          | {'f1': 0.8431746031746032} | {'accuracy': 0.763183125599233}  |
| 0.0023        | 1987.0 | 796787 | 2.8828          | {'f1': 0.8421052631578947} | {'accuracy': 0.7612655800575263} |
| 0.0035        | 1988.0 | 797188 | 2.8891          | {'f1': 0.8421052631578947} | {'accuracy': 0.7612655800575263} |
| 0.002         | 1989.0 | 797589 | 2.8794          | {'f1': 0.8421052631578947} | {'accuracy': 0.7612655800575263} |
| 0.002         | 1990.0 | 797990 | 2.8853          | {'f1': 0.8421052631578947} | {'accuracy': 0.7612655800575263} |
| 0.0014        | 1991.0 | 798391 | 2.8792          | {'f1': 0.8431746031746032} | {'accuracy': 0.763183125599233}  |
| 0.0026        | 1992.0 | 798792 | 2.8799          | {'f1': 0.8424396442185516} | {'accuracy': 0.7622243528283796} |
| 0.0023        | 1993.0 | 799193 | 2.8842          | {'f1': 0.8424396442185516} | {'accuracy': 0.7622243528283796} |
| 0.0009        | 1994.0 | 799594 | 2.8852          | {'f1': 0.8424396442185516} | {'accuracy': 0.7622243528283796} |
| 0.0009        | 1995.0 | 799995 | 2.8847          | {'f1': 0.8419047619047619} | {'accuracy': 0.7612655800575263} |
| 0.0017        | 1996.0 | 800396 | 2.8860          | {'f1': 0.8419047619047619} | {'accuracy': 0.7612655800575263} |
| 0.0032        | 1997.0 | 800797 | 2.8866          | {'f1': 0.8419047619047619} | {'accuracy': 0.7612655800575263} |
| 0.0013        | 1998.0 | 801198 | 2.8839          | {'f1': 0.8419047619047619} | {'accuracy': 0.7612655800575263} |
| 0.0022        | 1999.0 | 801599 | 2.8823          | {'f1': 0.8419047619047619} | {'accuracy': 0.7612655800575263} |
| 0.0018        | 2000.0 | 802000 | 2.8822          | {'f1': 0.8419047619047619} | {'accuracy': 0.7612655800575263} |


### Framework versions

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