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_535
  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_535

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: 3.4602
- F1: {'f1': 0.8391959798994975}
- Accuracy: {'accuracy': 0.7545541706615532}

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

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

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | F1                         | Accuracy                         |
|:-------------:|:------:|:-----:|:---------------:|:--------------------------:|:--------------------------------:|
| No log        | 1.0    | 34    | 0.6290          | {'f1': 0.8167895632444696} | {'accuracy': 0.6903163950143816} |
| No log        | 2.0    | 68    | 0.6274          | {'f1': 0.8167895632444696} | {'accuracy': 0.6903163950143816} |
| No log        | 3.0    | 102   | 0.6252          | {'f1': 0.8167895632444696} | {'accuracy': 0.6903163950143816} |
| No log        | 4.0    | 136   | 0.6251          | {'f1': 0.8179239931934204} | {'accuracy': 0.6922339405560882} |
| No log        | 5.0    | 170   | 0.6246          | {'f1': 0.8179239931934204} | {'accuracy': 0.6922339405560882} |
| No log        | 6.0    | 204   | 0.6136          | {'f1': 0.8179239931934204} | {'accuracy': 0.6922339405560882} |
| No log        | 7.0    | 238   | 0.6178          | {'f1': 0.81838819523269}   | {'accuracy': 0.6931927133269415} |
| No log        | 8.0    | 272   | 0.6112          | {'f1': 0.8179749715585892} | {'accuracy': 0.6931927133269415} |
| No log        | 9.0    | 306   | 0.6028          | {'f1': 0.8173515981735159} | {'accuracy': 0.6931927133269415} |
| No log        | 10.0   | 340   | 0.5813          | {'f1': 0.8187683284457478} | {'accuracy': 0.7037392138063279} |
| No log        | 11.0   | 374   | 0.5890          | {'f1': 0.8234610917537746} | {'accuracy': 0.7085330776605945} |
| No log        | 12.0   | 408   | 0.5631          | {'f1': 0.8330319469559975} | {'accuracy': 0.7344199424736337} |
| No log        | 13.0   | 442   | 0.6507          | {'f1': 0.8307873090481785} | {'accuracy': 0.7238734419942474} |
| No log        | 14.0   | 476   | 0.6269          | {'f1': 0.8347205707491082} | {'accuracy': 0.7334611697027804} |
| 0.5155        | 15.0   | 510   | 0.5856          | {'f1': 0.8366093366093366} | {'accuracy': 0.7449664429530202} |
| 0.5155        | 16.0   | 544   | 0.6232          | {'f1': 0.8405620036652413} | {'accuracy': 0.7497603068072867} |
| 0.5155        | 17.0   | 578   | 0.6568          | {'f1': 0.8360556563823351} | {'accuracy': 0.7401725790987536} |
| 0.5155        | 18.0   | 612   | 0.6778          | {'f1': 0.8416565164433618} | {'accuracy': 0.75071907957814}   |
| 0.5155        | 19.0   | 646   | 0.7373          | {'f1': 0.8395657418576598} | {'accuracy': 0.7449664429530202} |
| 0.5155        | 20.0   | 680   | 0.6615          | {'f1': 0.8373531230674086} | {'accuracy': 0.74784276126558}   |
| 0.5155        | 21.0   | 714   | 0.8051          | {'f1': 0.8383594692400483} | {'accuracy': 0.7430488974113135} |
| 0.5155        | 22.0   | 748   | 0.7765          | {'f1': 0.8386308068459658} | {'accuracy': 0.7468839884947267} |
| 0.5155        | 23.0   | 782   | 0.7695          | {'f1': 0.839073262366938}  | {'accuracy': 0.7535953978907}    |
| 0.5155        | 24.0   | 816   | 0.7644          | {'f1': 0.843297671491504}  | {'accuracy': 0.7612655800575263} |
| 0.5155        | 25.0   | 850   | 0.8090          | {'f1': 0.844002486016159}  | {'accuracy': 0.7593480345158198} |
| 0.5155        | 26.0   | 884   | 0.8430          | {'f1': 0.8419737663960025} | {'accuracy': 0.7574304889741131} |
| 0.5155        | 27.0   | 918   | 0.8578          | {'f1': 0.8393194706994328} | {'accuracy': 0.7555129434324065} |
| 0.5155        | 28.0   | 952   | 0.8818          | {'f1': 0.8409805153991201} | {'accuracy': 0.7574304889741131} |
| 0.5155        | 29.0   | 986   | 0.9517          | {'f1': 0.8421052631578948} | {'accuracy': 0.7555129434324065} |
| 0.2477        | 30.0   | 1020  | 1.1130          | {'f1': 0.8364741641337385} | {'accuracy': 0.7420901246404602} |
| 0.2477        | 31.0   | 1054  | 1.0485          | {'f1': 0.837954405422058}  | {'accuracy': 0.74784276126558}   |
| 0.2477        | 32.0   | 1088  | 1.0609          | {'f1': 0.8381070983810709} | {'accuracy': 0.75071907957814}   |
| 0.2477        | 33.0   | 1122  | 0.9798          | {'f1': 0.8361290322580646} | {'accuracy': 0.7564717162032598} |
| 0.2477        | 34.0   | 1156  | 1.0213          | {'f1': 0.843650287172942}  | {'accuracy': 0.7651006711409396} |
| 0.2477        | 35.0   | 1190  | 1.1001          | {'f1': 0.8452830188679246} | {'accuracy': 0.7641418983700863} |
| 0.2477        | 36.0   | 1224  | 1.1814          | {'f1': 0.8402734617775015} | {'accuracy': 0.7535953978907}    |
| 0.2477        | 37.0   | 1258  | 1.1825          | {'f1': 0.8431618569636137} | {'accuracy': 0.7603068072866731} |
| 0.2477        | 38.0   | 1292  | 1.2292          | {'f1': 0.8449466415568111} | {'accuracy': 0.763183125599233}  |
| 0.2477        | 39.0   | 1326  | 1.1645          | {'f1': 0.8372395833333335} | {'accuracy': 0.7603068072866731} |
| 0.2477        | 40.0   | 1360  | 1.3783          | {'f1': 0.8405438813349814} | {'accuracy': 0.7526366251198466} |
| 0.2477        | 41.0   | 1394  | 1.4388          | {'f1': 0.8418461538461539} | {'accuracy': 0.7535953978907}    |
| 0.2477        | 42.0   | 1428  | 1.4159          | {'f1': 0.8412600370599136} | {'accuracy': 0.7535953978907}    |
| 0.2477        | 43.0   | 1462  | 1.4079          | {'f1': 0.8421052631578948} | {'accuracy': 0.7583892617449665} |
| 0.2477        | 44.0   | 1496  | 1.3515          | {'f1': 0.839821314613912}  | {'accuracy': 0.7593480345158198} |
| 0.0896        | 45.0   | 1530  | 1.5365          | {'f1': 0.8408113091579594} | {'accuracy': 0.7516778523489933} |
| 0.0896        | 46.0   | 1564  | 1.5318          | {'f1': 0.8394296342219467} | {'accuracy': 0.7516778523489933} |
| 0.0896        | 47.0   | 1598  | 1.4766          | {'f1': 0.843297671491504}  | {'accuracy': 0.7612655800575263} |
| 0.0896        | 48.0   | 1632  | 1.4258          | {'f1': 0.8437900128040973} | {'accuracy': 0.7660594439117929} |
| 0.0896        | 49.0   | 1666  | 1.4192          | {'f1': 0.845518118245391}  | {'accuracy': 0.7670182166826462} |
| 0.0896        | 50.0   | 1700  | 1.4329          | {'f1': 0.8419023136246786} | {'accuracy': 0.7641418983700863} |
| 0.0896        | 51.0   | 1734  | 1.6575          | {'f1': 0.8423645320197044} | {'accuracy': 0.7545541706615532} |
| 0.0896        | 52.0   | 1768  | 1.5449          | {'f1': 0.8377358490566037} | {'accuracy': 0.7526366251198466} |
| 0.0896        | 53.0   | 1802  | 1.5137          | {'f1': 0.8401534526854221} | {'accuracy': 0.7603068072866731} |
| 0.0896        | 54.0   | 1836  | 1.5939          | {'f1': 0.8385876418663304} | {'accuracy': 0.7545541706615532} |
| 0.0896        | 55.0   | 1870  | 1.6615          | {'f1': 0.8384279475982533} | {'accuracy': 0.7516778523489933} |
| 0.0896        | 56.0   | 1904  | 1.6269          | {'f1': 0.8382261086820737} | {'accuracy': 0.7516778523489933} |
| 0.0896        | 57.0   | 1938  | 1.7063          | {'f1': 0.8371517027863778} | {'accuracy': 0.74784276126558}   |
| 0.0896        | 58.0   | 1972  | 1.6755          | {'f1': 0.837468982630273}  | {'accuracy': 0.7488015340364333} |
| 0.0471        | 59.0   | 2006  | 1.8673          | {'f1': 0.833029751062538}  | {'accuracy': 0.7363374880153404} |
| 0.0471        | 60.0   | 2040  | 1.6474          | {'f1': 0.8434343434343433} | {'accuracy': 0.7622243528283796} |
| 0.0471        | 61.0   | 2074  | 1.6060          | {'f1': 0.8400770712909442} | {'accuracy': 0.7612655800575263} |
| 0.0471        | 62.0   | 2108  | 1.6977          | {'f1': 0.8417721518987342} | {'accuracy': 0.7603068072866731} |
| 0.0471        | 63.0   | 2142  | 1.8631          | {'f1': 0.8386699507389164} | {'accuracy': 0.7488015340364333} |
| 0.0471        | 64.0   | 2176  | 1.7244          | {'f1': 0.8383005707038681} | {'accuracy': 0.7555129434324065} |
| 0.0471        | 65.0   | 2210  | 1.7629          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0471        | 66.0   | 2244  | 1.8566          | {'f1': 0.8362282878411912} | {'accuracy': 0.7468839884947267} |
| 0.0471        | 67.0   | 2278  | 1.9643          | {'f1': 0.8364972443355787} | {'accuracy': 0.7440076701821668} |
| 0.0471        | 68.0   | 2312  | 1.9447          | {'f1': 0.8346650276582667} | {'accuracy': 0.7420901246404602} |
| 0.0471        | 69.0   | 2346  | 1.7232          | {'f1': 0.8421725239616613} | {'accuracy': 0.763183125599233}  |
| 0.0471        | 70.0   | 2380  | 1.7151          | {'f1': 0.8384615384615385} | {'accuracy': 0.7583892617449665} |
| 0.0471        | 71.0   | 2414  | 1.7411          | {'f1': 0.8368253968253969} | {'accuracy': 0.7535953978907}    |
| 0.0471        | 72.0   | 2448  | 1.7967          | {'f1': 0.8404522613065327} | {'accuracy': 0.7564717162032598} |
| 0.0471        | 73.0   | 2482  | 1.8218          | {'f1': 0.8423028785982478} | {'accuracy': 0.7583892617449665} |
| 0.0278        | 74.0   | 2516  | 1.7536          | {'f1': 0.8346153846153845} | {'accuracy': 0.7526366251198466} |
| 0.0278        | 75.0   | 2550  | 1.8290          | {'f1': 0.8415779586725111} | {'accuracy': 0.7574304889741131} |
| 0.0278        | 76.0   | 2584  | 1.9225          | {'f1': 0.8405438813349814} | {'accuracy': 0.7526366251198466} |
| 0.0278        | 77.0   | 2618  | 2.0916          | {'f1': 0.8350578210590383} | {'accuracy': 0.7401725790987536} |
| 0.0278        | 78.0   | 2652  | 1.7630          | {'f1': 0.8355899419729207} | {'accuracy': 0.7555129434324065} |
| 0.0278        | 79.0   | 2686  | 1.9106          | {'f1': 0.8421052631578948} | {'accuracy': 0.7583892617449665} |
| 0.0278        | 80.0   | 2720  | 1.9050          | {'f1': 0.8446115288220551} | {'accuracy': 0.7622243528283796} |
| 0.0278        | 81.0   | 2754  | 1.9276          | {'f1': 0.8450000000000001} | {'accuracy': 0.7622243528283796} |
| 0.0278        | 82.0   | 2788  | 1.9414          | {'f1': 0.8442776735459662} | {'accuracy': 0.7612655800575263} |
| 0.0278        | 83.0   | 2822  | 2.0313          | {'f1': 0.8419094854308741} | {'accuracy': 0.7555129434324065} |
| 0.0278        | 84.0   | 2856  | 2.0073          | {'f1': 0.8432835820895522} | {'accuracy': 0.7583892617449665} |
| 0.0278        | 85.0   | 2890  | 1.9976          | {'f1': 0.8434782608695651} | {'accuracy': 0.7583892617449665} |
| 0.0278        | 86.0   | 2924  | 1.8581          | {'f1': 0.8375080282594733} | {'accuracy': 0.7574304889741131} |
| 0.0278        | 87.0   | 2958  | 1.9573          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0278        | 88.0   | 2992  | 1.9758          | {'f1': 0.8456712672521958} | {'accuracy': 0.7641418983700863} |
| 0.0146        | 89.0   | 3026  | 2.1224          | {'f1': 0.8405438813349814} | {'accuracy': 0.7526366251198466} |
| 0.0146        | 90.0   | 3060  | 2.0026          | {'f1': 0.8418399495904222} | {'accuracy': 0.7593480345158198} |
| 0.0146        | 91.0   | 3094  | 2.1244          | {'f1': 0.8402220851326342} | {'accuracy': 0.7516778523489933} |
| 0.0146        | 92.0   | 3128  | 2.0497          | {'f1': 0.8402734617775015} | {'accuracy': 0.7535953978907}    |
| 0.0146        | 93.0   | 3162  | 1.8572          | {'f1': 0.8289473684210527} | {'accuracy': 0.75071907957814}   |
| 0.0146        | 94.0   | 3196  | 2.0854          | {'f1': 0.8418430884184309} | {'accuracy': 0.7564717162032598} |
| 0.0146        | 95.0   | 3230  | 2.0927          | {'f1': 0.8417132216014898} | {'accuracy': 0.7555129434324065} |
| 0.0146        | 96.0   | 3264  | 2.0346          | {'f1': 0.8404522613065327} | {'accuracy': 0.7564717162032598} |
| 0.0146        | 97.0   | 3298  | 1.9551          | {'f1': 0.8385449904275686} | {'accuracy': 0.7574304889741131} |
| 0.0146        | 98.0   | 3332  | 1.9431          | {'f1': 0.8416347381864623} | {'accuracy': 0.7622243528283796} |
| 0.0146        | 99.0   | 3366  | 2.1328          | {'f1': 0.8427594779366064} | {'accuracy': 0.7574304889741131} |
| 0.0146        | 100.0  | 3400  | 1.9871          | {'f1': 0.8400254939451881} | {'accuracy': 0.7593480345158198} |
| 0.0146        | 101.0  | 3434  | 2.0223          | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0146        | 102.0  | 3468  | 2.0622          | {'f1': 0.8397997496871088} | {'accuracy': 0.7545541706615532} |
| 0.0203        | 103.0  | 3502  | 2.0059          | {'f1': 0.8420382165605096} | {'accuracy': 0.7622243528283796} |
| 0.0203        | 104.0  | 3536  | 2.1729          | {'f1': 0.8399503722084367} | {'accuracy': 0.7526366251198466} |
| 0.0203        | 105.0  | 3570  | 1.9968          | {'f1': 0.8386683738796414} | {'accuracy': 0.7583892617449665} |
| 0.0203        | 106.0  | 3604  | 2.1000          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0203        | 107.0  | 3638  | 1.9776          | {'f1': 0.8380462724935733} | {'accuracy': 0.7583892617449665} |
| 0.0203        | 108.0  | 3672  | 2.1636          | {'f1': 0.842170929507174}  | {'accuracy': 0.7574304889741131} |
| 0.0203        | 109.0  | 3706  | 2.0026          | {'f1': 0.8353619474695709} | {'accuracy': 0.7535953978907}    |
| 0.0203        | 110.0  | 3740  | 2.0159          | {'f1': 0.8389560789306174} | {'accuracy': 0.7574304889741131} |
| 0.0203        | 111.0  | 3774  | 2.0359          | {'f1': 0.8349267049075845} | {'accuracy': 0.7516778523489933} |
| 0.0203        | 112.0  | 3808  | 2.1721          | {'f1': 0.8409937888198759} | {'accuracy': 0.7545541706615532} |
| 0.0203        | 113.0  | 3842  | 2.1287          | {'f1': 0.840251572327044}  | {'accuracy': 0.7564717162032598} |
| 0.0203        | 114.0  | 3876  | 2.1114          | {'f1': 0.8405797101449275} | {'accuracy': 0.7574304889741131} |
| 0.0203        | 115.0  | 3910  | 2.1644          | {'f1': 0.841708542713568}  | {'accuracy': 0.7583892617449665} |
| 0.0203        | 116.0  | 3944  | 2.2183          | {'f1': 0.839030453697949}  | {'accuracy': 0.7516778523489933} |
| 0.0203        | 117.0  | 3978  | 2.0891          | {'f1': 0.8385053831538949} | {'accuracy': 0.7555129434324065} |
| 0.0155        | 118.0  | 4012  | 2.0074          | {'f1': 0.8385012919896642} | {'accuracy': 0.7603068072866731} |
| 0.0155        | 119.0  | 4046  | 2.1334          | {'f1': 0.8401253918495297} | {'accuracy': 0.7555129434324065} |
| 0.0155        | 120.0  | 4080  | 2.0441          | {'f1': 0.8395378690629013} | {'accuracy': 0.7603068072866731} |
| 0.0155        | 121.0  | 4114  | 2.0961          | {'f1': 0.8376830044557607} | {'accuracy': 0.7555129434324065} |
| 0.0155        | 122.0  | 4148  | 2.1073          | {'f1': 0.8384223918575064} | {'accuracy': 0.7564717162032598} |
| 0.0155        | 123.0  | 4182  | 2.1261          | {'f1': 0.8384223918575064} | {'accuracy': 0.7564717162032598} |
| 0.0155        | 124.0  | 4216  | 2.2520          | {'f1': 0.8381897086174829} | {'accuracy': 0.7497603068072867} |
| 0.0155        | 125.0  | 4250  | 2.0553          | {'f1': 0.8349641226353556} | {'accuracy': 0.7574304889741131} |
| 0.0155        | 126.0  | 4284  | 2.2367          | {'f1': 0.8381070983810709} | {'accuracy': 0.75071907957814}   |
| 0.0155        | 127.0  | 4318  | 2.3076          | {'f1': 0.8393846153846154} | {'accuracy': 0.7497603068072867} |
| 0.0155        | 128.0  | 4352  | 2.1961          | {'f1': 0.835538752362949}  | {'accuracy': 0.7497603068072867} |
| 0.0155        | 129.0  | 4386  | 2.0988          | {'f1': 0.8360337005832793} | {'accuracy': 0.7574304889741131} |
| 0.0155        | 130.0  | 4420  | 2.1998          | {'f1': 0.842039018250472}  | {'accuracy': 0.7593480345158198} |
| 0.0155        | 131.0  | 4454  | 2.1090          | {'f1': 0.8377504848093084} | {'accuracy': 0.7593480345158198} |
| 0.0155        | 132.0  | 4488  | 2.1998          | {'f1': 0.8417721518987342} | {'accuracy': 0.7603068072866731} |
| 0.0106        | 133.0  | 4522  | 2.1535          | {'f1': 0.839821314613912}  | {'accuracy': 0.7593480345158198} |
| 0.0106        | 134.0  | 4556  | 2.2231          | {'f1': 0.8437499999999999} | {'accuracy': 0.7603068072866731} |
| 0.0106        | 135.0  | 4590  | 2.1219          | {'f1': 0.834190231362468}  | {'accuracy': 0.7526366251198466} |
| 0.0106        | 136.0  | 4624  | 2.1088          | {'f1': 0.8332251784555484} | {'accuracy': 0.7535953978907}    |
| 0.0106        | 137.0  | 4658  | 2.2496          | {'f1': 0.8395522388059702} | {'accuracy': 0.7526366251198466} |
| 0.0106        | 138.0  | 4692  | 2.1308          | {'f1': 0.8385449904275686} | {'accuracy': 0.7574304889741131} |
| 0.0106        | 139.0  | 4726  | 2.2872          | {'f1': 0.8399503722084367} | {'accuracy': 0.7526366251198466} |
| 0.0106        | 140.0  | 4760  | 2.1879          | {'f1': 0.8409090909090908} | {'accuracy': 0.7583892617449665} |
| 0.0106        | 141.0  | 4794  | 2.1646          | {'f1': 0.841300191204589}  | {'accuracy': 0.7612655800575263} |
| 0.0106        | 142.0  | 4828  | 2.1105          | {'f1': 0.8339869281045752} | {'accuracy': 0.7564717162032598} |
| 0.0106        | 143.0  | 4862  | 2.2799          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0106        | 144.0  | 4896  | 2.1721          | {'f1': 0.8330084470435347} | {'accuracy': 0.7535953978907}    |
| 0.0106        | 145.0  | 4930  | 2.2596          | {'f1': 0.8400503778337531} | {'accuracy': 0.7564717162032598} |
| 0.0106        | 146.0  | 4964  | 2.2096          | {'f1': 0.8394113883557262} | {'accuracy': 0.7593480345158198} |
| 0.0106        | 147.0  | 4998  | 2.1835          | {'f1': 0.8390433096315449} | {'accuracy': 0.7612655800575263} |
| 0.0098        | 148.0  | 5032  | 2.2462          | {'f1': 0.844106463878327}  | {'accuracy': 0.7641418983700863} |
| 0.0098        | 149.0  | 5066  | 2.1821          | {'f1': 0.8371187540558079} | {'accuracy': 0.7593480345158198} |
| 0.0098        | 150.0  | 5100  | 2.2533          | {'f1': 0.846641318124208}  | {'accuracy': 0.7679769894534996} |
| 0.0098        | 151.0  | 5134  | 2.3029          | {'f1': 0.8427672955974843} | {'accuracy': 0.7603068072866731} |
| 0.0098        | 152.0  | 5168  | 2.2849          | {'f1': 0.8412397216951296} | {'accuracy': 0.7593480345158198} |
| 0.0098        | 153.0  | 5202  | 2.3098          | {'f1': 0.8446115288220551} | {'accuracy': 0.7622243528283796} |
| 0.0098        | 154.0  | 5236  | 2.3253          | {'f1': 0.8446115288220551} | {'accuracy': 0.7622243528283796} |
| 0.0098        | 155.0  | 5270  | 2.3003          | {'f1': 0.8444165621079048} | {'accuracy': 0.7622243528283796} |
| 0.0098        | 156.0  | 5304  | 2.3194          | {'f1': 0.8455790784557908} | {'accuracy': 0.7622243528283796} |
| 0.0098        | 157.0  | 5338  | 2.3352          | {'f1': 0.8471615720524018} | {'accuracy': 0.7651006711409396} |
| 0.0098        | 158.0  | 5372  | 2.2277          | {'f1': 0.8406169665809768} | {'accuracy': 0.7622243528283796} |
| 0.0098        | 159.0  | 5406  | 2.3006          | {'f1': 0.8426395939086295} | {'accuracy': 0.7622243528283796} |
| 0.0098        | 160.0  | 5440  | 2.2040          | {'f1': 0.8339869281045752} | {'accuracy': 0.7564717162032598} |
| 0.0098        | 161.0  | 5474  | 2.1621          | {'f1': 0.8347485303723058} | {'accuracy': 0.7574304889741131} |
| 0.0109        | 162.0  | 5508  | 2.2833          | {'f1': 0.8419047619047619} | {'accuracy': 0.7612655800575263} |
| 0.0109        | 163.0  | 5542  | 2.3822          | {'f1': 0.8446662507797879} | {'accuracy': 0.7612655800575263} |
| 0.0109        | 164.0  | 5576  | 2.4010          | {'f1': 0.8452454940957116} | {'accuracy': 0.7612655800575263} |
| 0.0109        | 165.0  | 5610  | 2.2678          | {'f1': 0.8393316195372751} | {'accuracy': 0.7603068072866731} |
| 0.0109        | 166.0  | 5644  | 2.3334          | {'f1': 0.8429752066115702} | {'accuracy': 0.763183125599233}  |
| 0.0109        | 167.0  | 5678  | 2.3240          | {'f1': 0.8369704749679076} | {'accuracy': 0.7564717162032598} |
| 0.0109        | 168.0  | 5712  | 2.3419          | {'f1': 0.8363171355498722} | {'accuracy': 0.7545541706615532} |
| 0.0109        | 169.0  | 5746  | 2.4900          | {'f1': 0.8412600370599136} | {'accuracy': 0.7535953978907}    |
| 0.0109        | 170.0  | 5780  | 2.3639          | {'f1': 0.8438871473354232} | {'accuracy': 0.7612655800575263} |
| 0.0109        | 171.0  | 5814  | 2.2685          | {'f1': 0.8378378378378379} | {'accuracy': 0.7583892617449665} |
| 0.0109        | 172.0  | 5848  | 2.5680          | {'f1': 0.8385922330097086} | {'accuracy': 0.7449664429530202} |
| 0.0109        | 173.0  | 5882  | 2.1783          | {'f1': 0.8419047619047619} | {'accuracy': 0.7612655800575263} |
| 0.0109        | 174.0  | 5916  | 2.0917          | {'f1': 0.8380462724935733} | {'accuracy': 0.7583892617449665} |
| 0.0109        | 175.0  | 5950  | 2.1091          | {'f1': 0.8384166125892277} | {'accuracy': 0.7612655800575263} |
| 0.0109        | 176.0  | 5984  | 2.1659          | {'f1': 0.8412291933418694} | {'accuracy': 0.7622243528283796} |
| 0.0104        | 177.0  | 6018  | 2.3873          | {'f1': 0.8437306979617049} | {'accuracy': 0.7574304889741131} |
| 0.0104        | 178.0  | 6052  | 2.1769          | {'f1': 0.843236409608091}  | {'accuracy': 0.7622243528283796} |
| 0.0104        | 179.0  | 6086  | 2.1418          | {'f1': 0.8401534526854221} | {'accuracy': 0.7603068072866731} |
| 0.0104        | 180.0  | 6120  | 2.3104          | {'f1': 0.8432229856339788} | {'accuracy': 0.7593480345158198} |
| 0.0104        | 181.0  | 6154  | 2.1719          | {'f1': 0.8381689232753062} | {'accuracy': 0.7593480345158198} |
| 0.0104        | 182.0  | 6188  | 2.4002          | {'f1': 0.8381897086174829} | {'accuracy': 0.7497603068072867} |
| 0.0104        | 183.0  | 6222  | 2.3276          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0104        | 184.0  | 6256  | 2.3433          | {'f1': 0.8413098236775819} | {'accuracy': 0.7583892617449665} |
| 0.0104        | 185.0  | 6290  | 2.7125          | {'f1': 0.8338368580060423} | {'accuracy': 0.7363374880153404} |
| 0.0104        | 186.0  | 6324  | 2.2872          | {'f1': 0.842911877394636}  | {'accuracy': 0.7641418983700863} |
| 0.0104        | 187.0  | 6358  | 2.2043          | {'f1': 0.842443729903537}  | {'accuracy': 0.7651006711409396} |
| 0.0104        | 188.0  | 6392  | 2.3637          | {'f1': 0.8448598130841122} | {'accuracy': 0.7612655800575263} |
| 0.0104        | 189.0  | 6426  | 2.2187          | {'f1': 0.8384166125892277} | {'accuracy': 0.7612655800575263} |
| 0.0104        | 190.0  | 6460  | 2.6381          | {'f1': 0.8382798304058148} | {'accuracy': 0.7440076701821668} |
| 0.0104        | 191.0  | 6494  | 2.1810          | {'f1': 0.8346354166666669} | {'accuracy': 0.7564717162032598} |
| 0.0086        | 192.0  | 6528  | 2.2396          | {'f1': 0.8451242829827915} | {'accuracy': 0.7670182166826462} |
| 0.0086        | 193.0  | 6562  | 2.1954          | {'f1': 0.8289473684210527} | {'accuracy': 0.75071907957814}   |
| 0.0086        | 194.0  | 6596  | 2.2838          | {'f1': 0.8456632653061223} | {'accuracy': 0.7679769894534996} |
| 0.0086        | 195.0  | 6630  | 2.2866          | {'f1': 0.8449266113592852} | {'accuracy': 0.7670182166826462} |
| 0.0086        | 196.0  | 6664  | 2.2259          | {'f1': 0.8323471400394478} | {'accuracy': 0.7555129434324065} |
| 0.0086        | 197.0  | 6698  | 2.3507          | {'f1': 0.8457142857142858} | {'accuracy': 0.7670182166826462} |
| 0.0086        | 198.0  | 6732  | 2.2460          | {'f1': 0.8349769888231428} | {'accuracy': 0.7593480345158198} |
| 0.0086        | 199.0  | 6766  | 2.3341          | {'f1': 0.8504435994930292} | {'accuracy': 0.7737296260786194} |
| 0.0086        | 200.0  | 6800  | 2.3180          | {'f1': 0.8500948766603417} | {'accuracy': 0.7727708533077661} |
| 0.0086        | 201.0  | 6834  | 2.1842          | {'f1': 0.8381201044386423} | {'accuracy': 0.7622243528283796} |
| 0.0086        | 202.0  | 6868  | 2.1754          | {'f1': 0.8361730013106159} | {'accuracy': 0.7603068072866731} |
| 0.0086        | 203.0  | 6902  | 2.2473          | {'f1': 0.8460559796437659} | {'accuracy': 0.7679769894534996} |
| 0.0086        | 204.0  | 6936  | 2.9134          | {'f1': 0.8379821958456972} | {'accuracy': 0.738255033557047}  |
| 0.0086        | 205.0  | 6970  | 2.5587          | {'f1': 0.8396111786148239} | {'accuracy': 0.7468839884947267} |
| 0.0113        | 206.0  | 7004  | 2.1203          | {'f1': 0.84107259646828}   | {'accuracy': 0.7670182166826462} |
| 0.0113        | 207.0  | 7038  | 2.3156          | {'f1': 0.8475420037336653} | {'accuracy': 0.7651006711409396} |
| 0.0113        | 208.0  | 7072  | 2.1289          | {'f1': 0.8389610389610391} | {'accuracy': 0.7622243528283796} |
| 0.0113        | 209.0  | 7106  | 2.2731          | {'f1': 0.8497800125707102} | {'accuracy': 0.7708533077660594} |
| 0.0113        | 210.0  | 7140  | 2.1861          | {'f1': 0.8420373952288847} | {'accuracy': 0.7651006711409396} |
| 0.0113        | 211.0  | 7174  | 2.4715          | {'f1': 0.8478126925446704} | {'accuracy': 0.763183125599233}  |
| 0.0113        | 212.0  | 7208  | 2.1161          | {'f1': 0.8236914600550963} | {'accuracy': 0.7545541706615532} |
| 0.0113        | 213.0  | 7242  | 2.1706          | {'f1': 0.8425096030729833} | {'accuracy': 0.7641418983700863} |
| 0.0113        | 214.0  | 7276  | 2.2738          | {'f1': 0.851010101010101}  | {'accuracy': 0.7737296260786194} |
| 0.0113        | 215.0  | 7310  | 2.2877          | {'f1': 0.8459099556119215} | {'accuracy': 0.7670182166826462} |
| 0.0113        | 216.0  | 7344  | 2.3012          | {'f1': 0.8459099556119215} | {'accuracy': 0.7670182166826462} |
| 0.0113        | 217.0  | 7378  | 2.3190          | {'f1': 0.846641318124208}  | {'accuracy': 0.7679769894534996} |
| 0.0113        | 218.0  | 7412  | 2.5086          | {'f1': 0.8463911165946946} | {'accuracy': 0.7612655800575263} |
| 0.0113        | 219.0  | 7446  | 2.3970          | {'f1': 0.8473091364205256} | {'accuracy': 0.7660594439117929} |
| 0.0113        | 220.0  | 7480  | 2.2260          | {'f1': 0.8412903225806452} | {'accuracy': 0.7641418983700863} |
| 0.0095        | 221.0  | 7514  | 2.2546          | {'f1': 0.8417721518987342} | {'accuracy': 0.7603068072866731} |
| 0.0095        | 222.0  | 7548  | 2.2881          | {'f1': 0.846641318124208}  | {'accuracy': 0.7679769894534996} |
| 0.0095        | 223.0  | 7582  | 2.2982          | {'f1': 0.8481411468178953} | {'accuracy': 0.7689357622243528} |
| 0.0095        | 224.0  | 7616  | 2.3669          | {'f1': 0.8473520249221185} | {'accuracy': 0.7651006711409396} |
| 0.0095        | 225.0  | 7650  | 2.1390          | {'f1': 0.8414239482200647} | {'accuracy': 0.7651006711409396} |
| 0.0095        | 226.0  | 7684  | 2.4351          | {'f1': 0.8467692307692308} | {'accuracy': 0.7612655800575263} |
| 0.0095        | 227.0  | 7718  | 2.1890          | {'f1': 0.8382541720154044} | {'accuracy': 0.7583892617449665} |
| 0.0095        | 228.0  | 7752  | 2.3498          | {'f1': 0.8444722048719551} | {'accuracy': 0.7612655800575263} |
| 0.0095        | 229.0  | 7786  | 2.2806          | {'f1': 0.845620667926906}  | {'accuracy': 0.7651006711409396} |
| 0.0095        | 230.0  | 7820  | 2.3795          | {'f1': 0.8437499999999999} | {'accuracy': 0.7603068072866731} |
| 0.0095        | 231.0  | 7854  | 2.3482          | {'f1': 0.8428390367553865} | {'accuracy': 0.7622243528283796} |
| 0.0095        | 232.0  | 7888  | 2.3239          | {'f1': 0.844106463878327}  | {'accuracy': 0.7641418983700863} |
| 0.0095        | 233.0  | 7922  | 2.4025          | {'f1': 0.8441396508728181} | {'accuracy': 0.7603068072866731} |
| 0.0095        | 234.0  | 7956  | 2.2347          | {'f1': 0.8421733505821475} | {'accuracy': 0.7660594439117929} |
| 0.0095        | 235.0  | 7990  | 2.2863          | {'f1': 0.843650287172942}  | {'accuracy': 0.7651006711409396} |
| 0.0065        | 236.0  | 8024  | 2.5848          | {'f1': 0.8375229920294298} | {'accuracy': 0.7459252157238735} |
| 0.0065        | 237.0  | 8058  | 2.6884          | {'f1': 0.8398058252427185} | {'accuracy': 0.7468839884947267} |
| 0.0065        | 238.0  | 8092  | 2.4341          | {'f1': 0.8436137071651092} | {'accuracy': 0.7593480345158198} |
| 0.0065        | 239.0  | 8126  | 2.2822          | {'f1': 0.8380462724935733} | {'accuracy': 0.7583892617449665} |
| 0.0065        | 240.0  | 8160  | 2.3062          | {'f1': 0.8412291933418694} | {'accuracy': 0.7622243528283796} |
| 0.0065        | 241.0  | 8194  | 2.3330          | {'f1': 0.8396166134185302} | {'accuracy': 0.7593480345158198} |
| 0.0065        | 242.0  | 8228  | 2.3629          | {'f1': 0.8406349206349206} | {'accuracy': 0.7593480345158198} |
| 0.0065        | 243.0  | 8262  | 2.3821          | {'f1': 0.8425047438330171} | {'accuracy': 0.7612655800575263} |
| 0.0065        | 244.0  | 8296  | 2.4227          | {'f1': 0.8454773869346733} | {'accuracy': 0.7641418983700863} |
| 0.0065        | 245.0  | 8330  | 2.4613          | {'f1': 0.8465873512836568} | {'accuracy': 0.7651006711409396} |
| 0.0065        | 246.0  | 8364  | 2.4779          | {'f1': 0.8473091364205256} | {'accuracy': 0.7660594439117929} |
| 0.0065        | 247.0  | 8398  | 2.2809          | {'f1': 0.8364820846905537} | {'accuracy': 0.7593480345158198} |
| 0.0065        | 248.0  | 8432  | 2.3375          | {'f1': 0.8447517284726588} | {'accuracy': 0.763183125599233}  |
| 0.0065        | 249.0  | 8466  | 2.2943          | {'f1': 0.8474148802017654} | {'accuracy': 0.7679769894534996} |
| 0.0048        | 250.0  | 8500  | 2.2874          | {'f1': 0.8437697659709045} | {'accuracy': 0.763183125599233}  |
| 0.0048        | 251.0  | 8534  | 2.3495          | {'f1': 0.8454773869346733} | {'accuracy': 0.7641418983700863} |
| 0.0048        | 252.0  | 8568  | 2.2195          | {'f1': 0.8428479794740218} | {'accuracy': 0.7651006711409396} |
| 0.0048        | 253.0  | 8602  | 2.2957          | {'f1': 0.8468354430379746} | {'accuracy': 0.7679769894534996} |
| 0.0048        | 254.0  | 8636  | 2.3333          | {'f1': 0.8468809073724007} | {'accuracy': 0.7670182166826462} |
| 0.0048        | 255.0  | 8670  | 2.3021          | {'f1': 0.8409090909090908} | {'accuracy': 0.7583892617449665} |
| 0.0048        | 256.0  | 8704  | 2.2203          | {'f1': 0.8369636963696371} | {'accuracy': 0.763183125599233}  |
| 0.0048        | 257.0  | 8738  | 2.2789          | {'f1': 0.8407479045776919} | {'accuracy': 0.763183125599233}  |
| 0.0048        | 258.0  | 8772  | 2.6917          | {'f1': 0.8439587128111719} | {'accuracy': 0.7535953978907}    |
| 0.0048        | 259.0  | 8806  | 2.3821          | {'f1': 0.8429022082018928} | {'accuracy': 0.7612655800575263} |
| 0.0048        | 260.0  | 8840  | 2.3406          | {'f1': 0.8346055979643766} | {'accuracy': 0.75071907957814}   |
| 0.0048        | 261.0  | 8874  | 2.4332          | {'f1': 0.8415779586725111} | {'accuracy': 0.7574304889741131} |
| 0.0048        | 262.0  | 8908  | 2.3776          | {'f1': 0.8344958782498415} | {'accuracy': 0.7497603068072867} |
| 0.0048        | 263.0  | 8942  | 2.2821          | {'f1': 0.8360548661005879} | {'accuracy': 0.7593480345158198} |
| 0.0048        | 264.0  | 8976  | 2.5451          | {'f1': 0.8416512630930376} | {'accuracy': 0.7535953978907}    |
| 0.0062        | 265.0  | 9010  | 2.5588          | {'f1': 0.8449660284126004} | {'accuracy': 0.7593480345158198} |
| 0.0062        | 266.0  | 9044  | 2.3861          | {'f1': 0.8500948766603417} | {'accuracy': 0.7727708533077661} |
| 0.0062        | 267.0  | 9078  | 2.5880          | {'f1': 0.8452088452088452} | {'accuracy': 0.7583892617449665} |
| 0.0062        | 268.0  | 9112  | 2.3555          | {'f1': 0.8389610389610391} | {'accuracy': 0.7622243528283796} |
| 0.0062        | 269.0  | 9146  | 2.4106          | {'f1': 0.8491761723700887} | {'accuracy': 0.7718120805369127} |
| 0.0062        | 270.0  | 9180  | 2.3277          | {'f1': 0.8436692506459949} | {'accuracy': 0.7679769894534996} |
| 0.0062        | 271.0  | 9214  | 2.3585          | {'f1': 0.8479495268138802} | {'accuracy': 0.7689357622243528} |
| 0.0062        | 272.0  | 9248  | 2.5677          | {'f1': 0.8446362515413072} | {'accuracy': 0.7583892617449665} |
| 0.0062        | 273.0  | 9282  | 2.3107          | {'f1': 0.8386675375571522} | {'accuracy': 0.763183125599233}  |
| 0.0062        | 274.0  | 9316  | 2.4515          | {'f1': 0.849502487562189}  | {'accuracy': 0.7679769894534996} |
| 0.0062        | 275.0  | 9350  | 2.2714          | {'f1': 0.8425806451612904} | {'accuracy': 0.7660594439117929} |
| 0.0062        | 276.0  | 9384  | 2.5433          | {'f1': 0.847247990105133}  | {'accuracy': 0.763183125599233}  |
| 0.0062        | 277.0  | 9418  | 2.2435          | {'f1': 0.8381578947368422} | {'accuracy': 0.7641418983700863} |
| 0.0062        | 278.0  | 9452  | 2.3457          | {'f1': 0.8488228004956629} | {'accuracy': 0.7660594439117929} |
| 0.0062        | 279.0  | 9486  | 2.1632          | {'f1': 0.8431245965138799} | {'accuracy': 0.7670182166826462} |
| 0.007         | 280.0  | 9520  | 2.2274          | {'f1': 0.8504137492043286} | {'accuracy': 0.7746883988494727} |
| 0.007         | 281.0  | 9554  | 2.3106          | {'f1': 0.8518987341772152} | {'accuracy': 0.775647171620326}  |
| 0.007         | 282.0  | 9588  | 2.3713          | {'f1': 0.8490920475892298} | {'accuracy': 0.7689357622243528} |
| 0.007         | 283.0  | 9622  | 2.3418          | {'f1': 0.8506616257088847} | {'accuracy': 0.7727708533077661} |
| 0.007         | 284.0  | 9656  | 2.4010          | {'f1': 0.8497800125707102} | {'accuracy': 0.7708533077660594} |
| 0.007         | 285.0  | 9690  | 2.4244          | {'f1': 0.8517587939698492} | {'accuracy': 0.7737296260786194} |
| 0.007         | 286.0  | 9724  | 2.5561          | {'f1': 0.8483353884093712} | {'accuracy': 0.7641418983700863} |
| 0.007         | 287.0  | 9758  | 2.3890          | {'f1': 0.849714648065948}  | {'accuracy': 0.7727708533077661} |
| 0.007         | 288.0  | 9792  | 2.5052          | {'f1': 0.8466334164588529} | {'accuracy': 0.7641418983700863} |
| 0.007         | 289.0  | 9826  | 2.6953          | {'f1': 0.8410194174757281} | {'accuracy': 0.7488015340364333} |
| 0.007         | 290.0  | 9860  | 2.4344          | {'f1': 0.8463949843260189} | {'accuracy': 0.7651006711409396} |
| 0.007         | 291.0  | 9894  | 2.2203          | {'f1': 0.8442408376963352} | {'accuracy': 0.7718120805369127} |
| 0.007         | 292.0  | 9928  | 2.2713          | {'f1': 0.8463508322663252} | {'accuracy': 0.7698945349952061} |
| 0.007         | 293.0  | 9962  | 2.4526          | {'f1': 0.8478396994364433} | {'accuracy': 0.7670182166826462} |
| 0.007         | 294.0  | 9996  | 2.2525          | {'f1': 0.8435286542176433} | {'accuracy': 0.7670182166826462} |
| 0.0049        | 295.0  | 10030 | 2.3821          | {'f1': 0.8495238095238095} | {'accuracy': 0.7727708533077661} |
| 0.0049        | 296.0  | 10064 | 2.4593          | {'f1': 0.8505025125628141} | {'accuracy': 0.7718120805369127} |
| 0.0049        | 297.0  | 10098 | 2.2676          | {'f1': 0.8447937131630648} | {'accuracy': 0.7727708533077661} |
| 0.0049        | 298.0  | 10132 | 2.3211          | {'f1': 0.8460543337645536} | {'accuracy': 0.7718120805369127} |
| 0.0049        | 299.0  | 10166 | 2.4604          | {'f1': 0.8467336683417086} | {'accuracy': 0.7660594439117929} |
| 0.0049        | 300.0  | 10200 | 2.3786          | {'f1': 0.8467432950191572} | {'accuracy': 0.7698945349952061} |
| 0.0049        | 301.0  | 10234 | 2.3910          | {'f1': 0.8462029355456286} | {'accuracy': 0.7689357622243528} |
| 0.0049        | 302.0  | 10268 | 2.4143          | {'f1': 0.8500635324015249} | {'accuracy': 0.7737296260786194} |
| 0.0049        | 303.0  | 10302 | 2.4846          | {'f1': 0.846641318124208}  | {'accuracy': 0.7679769894534996} |
| 0.0049        | 304.0  | 10336 | 2.4818          | {'f1': 0.8449809402795427} | {'accuracy': 0.7660594439117929} |
| 0.0049        | 305.0  | 10370 | 3.0166          | {'f1': 0.8330341113105926} | {'accuracy': 0.7325023969319271} |
| 0.0049        | 306.0  | 10404 | 2.2982          | {'f1': 0.8373612018288701} | {'accuracy': 0.7612655800575263} |
| 0.0049        | 307.0  | 10438 | 2.7863          | {'f1': 0.8360755636806826} | {'accuracy': 0.7420901246404602} |
| 0.0049        | 308.0  | 10472 | 2.6580          | {'f1': 0.8407407407407408} | {'accuracy': 0.7526366251198466} |
| 0.0055        | 309.0  | 10506 | 2.4721          | {'f1': 0.8448060075093867} | {'accuracy': 0.7622243528283796} |
| 0.0055        | 310.0  | 10540 | 2.4401          | {'f1': 0.8460087994971716} | {'accuracy': 0.7651006711409396} |
| 0.0055        | 311.0  | 10574 | 2.4511          | {'f1': 0.8460087994971716} | {'accuracy': 0.7651006711409396} |
| 0.0055        | 312.0  | 10608 | 2.3430          | {'f1': 0.8420373952288847} | {'accuracy': 0.7651006711409396} |
| 0.0055        | 313.0  | 10642 | 2.4703          | {'f1': 0.8425692695214106} | {'accuracy': 0.7603068072866731} |
| 0.0055        | 314.0  | 10676 | 2.4643          | {'f1': 0.840378548895899}  | {'accuracy': 0.7574304889741131} |
| 0.0055        | 315.0  | 10710 | 2.3307          | {'f1': 0.8431245965138799} | {'accuracy': 0.7670182166826462} |
| 0.0055        | 316.0  | 10744 | 2.7334          | {'f1': 0.8372943327239487} | {'accuracy': 0.7440076701821668} |
| 0.0055        | 317.0  | 10778 | 2.3630          | {'f1': 0.8425096030729833} | {'accuracy': 0.7641418983700863} |
| 0.0055        | 318.0  | 10812 | 2.6220          | {'f1': 0.8451053283767039} | {'accuracy': 0.7603068072866731} |
| 0.0055        | 319.0  | 10846 | 2.4094          | {'f1': 0.8461538461538461} | {'accuracy': 0.7698945349952061} |
| 0.0055        | 320.0  | 10880 | 2.5369          | {'f1': 0.8477987421383647} | {'accuracy': 0.7679769894534996} |
| 0.0055        | 321.0  | 10914 | 2.7735          | {'f1': 0.8426829268292683} | {'accuracy': 0.7526366251198466} |
| 0.0055        | 322.0  | 10948 | 2.5698          | {'f1': 0.844838505383154}  | {'accuracy': 0.7651006711409396} |
| 0.0055        | 323.0  | 10982 | 2.5724          | {'f1': 0.844838505383154}  | {'accuracy': 0.7651006711409396} |
| 0.0038        | 324.0  | 11016 | 2.7663          | {'f1': 0.842883548983364}  | {'accuracy': 0.7555129434324065} |
| 0.0038        | 325.0  | 11050 | 2.7974          | {'f1': 0.8430769230769232} | {'accuracy': 0.7555129434324065} |
| 0.0038        | 326.0  | 11084 | 2.6639          | {'f1': 0.8451053283767039} | {'accuracy': 0.7603068072866731} |
| 0.0038        | 327.0  | 11118 | 2.4709          | {'f1': 0.8434343434343433} | {'accuracy': 0.7622243528283796} |
| 0.0038        | 328.0  | 11152 | 2.3253          | {'f1': 0.8425806451612904} | {'accuracy': 0.7660594439117929} |
| 0.0038        | 329.0  | 11186 | 2.5298          | {'f1': 0.8418461538461539} | {'accuracy': 0.7535953978907}    |
| 0.0038        | 330.0  | 11220 | 2.2083          | {'f1': 0.8373612018288701} | {'accuracy': 0.7612655800575263} |
| 0.0038        | 331.0  | 11254 | 2.8618          | {'f1': 0.8344370860927152} | {'accuracy': 0.7363374880153404} |
| 0.0038        | 332.0  | 11288 | 2.2406          | {'f1': 0.832214765100671}  | {'accuracy': 0.7603068072866731} |
| 0.0038        | 333.0  | 11322 | 2.5084          | {'f1': 0.8424953675108092} | {'accuracy': 0.7555129434324065} |
| 0.0038        | 334.0  | 11356 | 2.3157          | {'f1': 0.8424396442185516} | {'accuracy': 0.7622243528283796} |
| 0.0038        | 335.0  | 11390 | 2.3621          | {'f1': 0.8405063291139242} | {'accuracy': 0.7583892617449665} |
| 0.0038        | 336.0  | 11424 | 2.3904          | {'f1': 0.8385053831538949} | {'accuracy': 0.7555129434324065} |
| 0.0038        | 337.0  | 11458 | 2.3480          | {'f1': 0.8378033205619413} | {'accuracy': 0.7564717162032598} |
| 0.0038        | 338.0  | 11492 | 2.5572          | {'f1': 0.8428217821782179} | {'accuracy': 0.7564717162032598} |
| 0.009         | 339.0  | 11526 | 2.2762          | {'f1': 0.8376408217362492} | {'accuracy': 0.7651006711409396} |
| 0.009         | 340.0  | 11560 | 2.5688          | {'f1': 0.838909541511772}  | {'accuracy': 0.75071907957814}   |
| 0.009         | 341.0  | 11594 | 2.2469          | {'f1': 0.8365758754863812} | {'accuracy': 0.7583892617449665} |
| 0.009         | 342.0  | 11628 | 2.3048          | {'f1': 0.8356867779204109} | {'accuracy': 0.7545541706615532} |
| 0.009         | 343.0  | 11662 | 2.4827          | {'f1': 0.8448275862068966} | {'accuracy': 0.7583892617449665} |
| 0.009         | 344.0  | 11696 | 2.5491          | {'f1': 0.8424279583077867} | {'accuracy': 0.7535953978907}    |
| 0.009         | 345.0  | 11730 | 2.1947          | {'f1': 0.8423772609819122} | {'accuracy': 0.7660594439117929} |
| 0.009         | 346.0  | 11764 | 2.2454          | {'f1': 0.8456632653061223} | {'accuracy': 0.7679769894534996} |
| 0.009         | 347.0  | 11798 | 2.2735          | {'f1': 0.8457142857142858} | {'accuracy': 0.7670182166826462} |
| 0.009         | 348.0  | 11832 | 2.1648          | {'f1': 0.83672131147541}   | {'accuracy': 0.7612655800575263} |
| 0.009         | 349.0  | 11866 | 2.1912          | {'f1': 0.8443579766536965} | {'accuracy': 0.7698945349952061} |
| 0.009         | 350.0  | 11900 | 2.3321          | {'f1': 0.8447517284726588} | {'accuracy': 0.763183125599233}  |
| 0.009         | 351.0  | 11934 | 2.2339          | {'f1': 0.845360824742268}  | {'accuracy': 0.7698945349952061} |
| 0.009         | 352.0  | 11968 | 2.3889          | {'f1': 0.8446115288220551} | {'accuracy': 0.7622243528283796} |
| 0.0049        | 353.0  | 12002 | 2.4719          | {'f1': 0.8441961514587213} | {'accuracy': 0.7593480345158198} |
| 0.0049        | 354.0  | 12036 | 2.2481          | {'f1': 0.8432786885245902} | {'accuracy': 0.7708533077660594} |
| 0.0049        | 355.0  | 12070 | 2.3296          | {'f1': 0.8458093410108765} | {'accuracy': 0.7689357622243528} |
| 0.0049        | 356.0  | 12104 | 2.2860          | {'f1': 0.8391793514228987} | {'accuracy': 0.7670182166826462} |
| 0.0049        | 357.0  | 12138 | 2.3120          | {'f1': 0.8407310704960835} | {'accuracy': 0.7660594439117929} |
| 0.0049        | 358.0  | 12172 | 2.3255          | {'f1': 0.8426527958387516} | {'accuracy': 0.7679769894534996} |
| 0.0049        | 359.0  | 12206 | 2.6370          | {'f1': 0.8448804414469651} | {'accuracy': 0.7574304889741131} |
| 0.0049        | 360.0  | 12240 | 2.2975          | {'f1': 0.8418334409296322} | {'accuracy': 0.7651006711409396} |
| 0.0049        | 361.0  | 12274 | 2.2947          | {'f1': 0.8423772609819122} | {'accuracy': 0.7660594439117929} |
| 0.0049        | 362.0  | 12308 | 2.3139          | {'f1': 0.8442728442728443} | {'accuracy': 0.7679769894534996} |
| 0.0049        | 363.0  | 12342 | 2.6460          | {'f1': 0.8407565588773642} | {'accuracy': 0.7497603068072867} |
| 0.0049        | 364.0  | 12376 | 2.2519          | {'f1': 0.8281998631074606} | {'accuracy': 0.7593480345158198} |
| 0.0049        | 365.0  | 12410 | 2.2843          | {'f1': 0.8444730077120822} | {'accuracy': 0.7679769894534996} |
| 0.0049        | 366.0  | 12444 | 2.4303          | {'f1': 0.8458646616541354} | {'accuracy': 0.7641418983700863} |
| 0.0049        | 367.0  | 12478 | 2.7581          | {'f1': 0.8407026044821321} | {'accuracy': 0.74784276126558}   |
| 0.0042        | 368.0  | 12512 | 2.4722          | {'f1': 0.8457711442786069} | {'accuracy': 0.7622243528283796} |
| 0.0042        | 369.0  | 12546 | 2.4394          | {'f1': 0.8479495268138802} | {'accuracy': 0.7689357622243528} |
| 0.0042        | 370.0  | 12580 | 2.3956          | {'f1': 0.8472843450479234} | {'accuracy': 0.7708533077660594} |
| 0.0042        | 371.0  | 12614 | 2.3798          | {'f1': 0.8351351351351352} | {'accuracy': 0.7660594439117929} |
| 0.0042        | 372.0  | 12648 | 2.8006          | {'f1': 0.8391013964784457} | {'accuracy': 0.7459252157238735} |
| 0.0042        | 373.0  | 12682 | 2.5319          | {'f1': 0.8478396994364433} | {'accuracy': 0.7670182166826462} |
| 0.0042        | 374.0  | 12716 | 2.6566          | {'f1': 0.8453481207640172} | {'accuracy': 0.7593480345158198} |
| 0.0042        | 375.0  | 12750 | 2.6527          | {'f1': 0.844774273345702}  | {'accuracy': 0.7593480345158198} |
| 0.0042        | 376.0  | 12784 | 2.5238          | {'f1': 0.843297671491504}  | {'accuracy': 0.7612655800575263} |
| 0.0042        | 377.0  | 12818 | 2.4145          | {'f1': 0.8384565075212557} | {'accuracy': 0.763183125599233}  |
| 0.0042        | 378.0  | 12852 | 2.5525          | {'f1': 0.8475420037336653} | {'accuracy': 0.7651006711409396} |
| 0.0042        | 379.0  | 12886 | 2.4333          | {'f1': 0.8394584139264991} | {'accuracy': 0.7612655800575263} |
| 0.0042        | 380.0  | 12920 | 2.4523          | {'f1': 0.8447284345047924} | {'accuracy': 0.7670182166826462} |
| 0.0042        | 381.0  | 12954 | 2.4587          | {'f1': 0.8441890166028098} | {'accuracy': 0.7660594439117929} |
| 0.0042        | 382.0  | 12988 | 2.4679          | {'f1': 0.8449266113592852} | {'accuracy': 0.7670182166826462} |
| 0.0016        | 383.0  | 13022 | 2.4727          | {'f1': 0.8449266113592852} | {'accuracy': 0.7670182166826462} |
| 0.0016        | 384.0  | 13056 | 2.4799          | {'f1': 0.8449266113592852} | {'accuracy': 0.7670182166826462} |
| 0.0016        | 385.0  | 13090 | 2.4846          | {'f1': 0.8449266113592852} | {'accuracy': 0.7670182166826462} |
| 0.0016        | 386.0  | 13124 | 2.4887          | {'f1': 0.8449266113592852} | {'accuracy': 0.7670182166826462} |
| 0.0016        | 387.0  | 13158 | 2.4999          | {'f1': 0.8433121019108281} | {'accuracy': 0.7641418983700863} |
| 0.0016        | 388.0  | 13192 | 2.6596          | {'f1': 0.8477722772277226} | {'accuracy': 0.7641418983700863} |
| 0.0016        | 389.0  | 13226 | 2.5240          | {'f1': 0.8425047438330171} | {'accuracy': 0.7612655800575263} |
| 0.0016        | 390.0  | 13260 | 2.5159          | {'f1': 0.8402291534054743} | {'accuracy': 0.7593480345158198} |
| 0.0016        | 391.0  | 13294 | 2.4972          | {'f1': 0.8409805153991201} | {'accuracy': 0.7574304889741131} |
| 0.0016        | 392.0  | 13328 | 2.4648          | {'f1': 0.8417037507946599} | {'accuracy': 0.7612655800575263} |
| 0.0016        | 393.0  | 13362 | 2.4204          | {'f1': 0.8349514563106797} | {'accuracy': 0.7555129434324065} |
| 0.0016        | 394.0  | 13396 | 2.6356          | {'f1': 0.8443627450980392} | {'accuracy': 0.7564717162032598} |
| 0.0016        | 395.0  | 13430 | 2.4198          | {'f1': 0.8402291534054743} | {'accuracy': 0.7593480345158198} |
| 0.0016        | 396.0  | 13464 | 2.5434          | {'f1': 0.8426966292134831} | {'accuracy': 0.7583892617449665} |
| 0.0016        | 397.0  | 13498 | 2.5672          | {'f1': 0.8423676012461059} | {'accuracy': 0.7574304889741131} |
| 0.0029        | 398.0  | 13532 | 2.5736          | {'f1': 0.8423676012461059} | {'accuracy': 0.7574304889741131} |
| 0.0029        | 399.0  | 13566 | 2.5827          | {'f1': 0.842039800995025}  | {'accuracy': 0.7564717162032598} |
| 0.0029        | 400.0  | 13600 | 2.5551          | {'f1': 0.8413793103448275} | {'accuracy': 0.7574304889741131} |
| 0.0029        | 401.0  | 13634 | 2.5580          | {'f1': 0.8413793103448275} | {'accuracy': 0.7574304889741131} |
| 0.0029        | 402.0  | 13668 | 2.4031          | {'f1': 0.8451776649746193} | {'accuracy': 0.7660594439117929} |
| 0.0029        | 403.0  | 13702 | 2.8069          | {'f1': 0.8391777509068924} | {'accuracy': 0.7449664429530202} |
| 0.0029        | 404.0  | 13736 | 2.3951          | {'f1': 0.8297455968688846} | {'accuracy': 0.7497603068072867} |
| 0.0029        | 405.0  | 13770 | 3.0938          | {'f1': 0.837181764357608}  | {'accuracy': 0.7363374880153404} |
| 0.0029        | 406.0  | 13804 | 2.5174          | {'f1': 0.8362944162436549} | {'accuracy': 0.7526366251198466} |
| 0.0029        | 407.0  | 13838 | 2.6228          | {'f1': 0.8413192283758557} | {'accuracy': 0.7555129434324065} |
| 0.0029        | 408.0  | 13872 | 2.4119          | {'f1': 0.8357615894039736} | {'accuracy': 0.7622243528283796} |
| 0.0029        | 409.0  | 13906 | 2.5100          | {'f1': 0.8370607028753995} | {'accuracy': 0.7555129434324065} |
| 0.0029        | 410.0  | 13940 | 2.6617          | {'f1': 0.8407960199004975} | {'accuracy': 0.7545541706615532} |
| 0.0029        | 411.0  | 13974 | 2.4633          | {'f1': 0.8365508365508365} | {'accuracy': 0.7564717162032598} |
| 0.0059        | 412.0  | 14008 | 2.4974          | {'f1': 0.8351231838281743} | {'accuracy': 0.7497603068072867} |
| 0.0059        | 413.0  | 14042 | 2.4125          | {'f1': 0.8383311603650586} | {'accuracy': 0.7622243528283796} |
| 0.0059        | 414.0  | 14076 | 2.5143          | {'f1': 0.8359721342621914} | {'accuracy': 0.7516778523489933} |
| 0.0059        | 415.0  | 14110 | 2.5524          | {'f1': 0.8387909319899244} | {'accuracy': 0.7545541706615532} |
| 0.0059        | 416.0  | 14144 | 2.5503          | {'f1': 0.8373266078184111} | {'accuracy': 0.7526366251198466} |
| 0.0059        | 417.0  | 14178 | 2.5565          | {'f1': 0.8380592312539382} | {'accuracy': 0.7535953978907}    |
| 0.0059        | 418.0  | 14212 | 2.5622          | {'f1': 0.8380592312539382} | {'accuracy': 0.7535953978907}    |
| 0.0059        | 419.0  | 14246 | 2.5504          | {'f1': 0.837238758708043}  | {'accuracy': 0.7535953978907}    |
| 0.0059        | 420.0  | 14280 | 2.5631          | {'f1': 0.8367088607594937} | {'accuracy': 0.7526366251198466} |
| 0.0059        | 421.0  | 14314 | 2.5915          | {'f1': 0.8380592312539382} | {'accuracy': 0.7535953978907}    |
| 0.0059        | 422.0  | 14348 | 2.5984          | {'f1': 0.8380592312539382} | {'accuracy': 0.7535953978907}    |
| 0.0059        | 423.0  | 14382 | 2.6025          | {'f1': 0.8380592312539382} | {'accuracy': 0.7535953978907}    |
| 0.0059        | 424.0  | 14416 | 2.6443          | {'f1': 0.8419071518193225} | {'accuracy': 0.7583892617449665} |
| 0.0059        | 425.0  | 14450 | 2.6552          | {'f1': 0.8406524466750315} | {'accuracy': 0.7564717162032598} |
| 0.0059        | 426.0  | 14484 | 2.6820          | {'f1': 0.8406524466750315} | {'accuracy': 0.7564717162032598} |
| 0.0007        | 427.0  | 14518 | 2.6997          | {'f1': 0.8400503778337531} | {'accuracy': 0.7564717162032598} |
| 0.0007        | 428.0  | 14552 | 2.7150          | {'f1': 0.8400503778337531} | {'accuracy': 0.7564717162032598} |
| 0.0007        | 429.0  | 14586 | 2.5110          | {'f1': 0.8286099865047233} | {'accuracy': 0.7564717162032598} |
| 0.0007        | 430.0  | 14620 | 2.7481          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0007        | 431.0  | 14654 | 2.8417          | {'f1': 0.840937114673243}  | {'accuracy': 0.7526366251198466} |
| 0.0007        | 432.0  | 14688 | 2.5962          | {'f1': 0.8384615384615385} | {'accuracy': 0.7583892617449665} |
| 0.0007        | 433.0  | 14722 | 2.5856          | {'f1': 0.8375404530744337} | {'accuracy': 0.7593480345158198} |
| 0.0007        | 434.0  | 14756 | 2.6317          | {'f1': 0.8425748884639899} | {'accuracy': 0.763183125599233}  |
| 0.0007        | 435.0  | 14790 | 2.6556          | {'f1': 0.8417037507946599} | {'accuracy': 0.7612655800575263} |
| 0.0007        | 436.0  | 14824 | 2.6632          | {'f1': 0.8411689961880559} | {'accuracy': 0.7603068072866731} |
| 0.0007        | 437.0  | 14858 | 2.6848          | {'f1': 0.8436317780580076} | {'accuracy': 0.7622243528283796} |
| 0.0007        | 438.0  | 14892 | 2.9743          | {'f1': 0.8418491484184915} | {'accuracy': 0.75071907957814}   |
| 0.0007        | 439.0  | 14926 | 2.6257          | {'f1': 0.8433734939759037} | {'accuracy': 0.763183125599233}  |
| 0.0007        | 440.0  | 14960 | 2.7683          | {'f1': 0.8419094854308741} | {'accuracy': 0.7555129434324065} |
| 0.0007        | 441.0  | 14994 | 2.5979          | {'f1': 0.8404868673926971} | {'accuracy': 0.7612655800575263} |
| 0.0042        | 442.0  | 15028 | 2.4658          | {'f1': 0.8387942332896462} | {'accuracy': 0.7641418983700863} |
| 0.0042        | 443.0  | 15062 | 2.8625          | {'f1': 0.8411330049261084} | {'accuracy': 0.7526366251198466} |
| 0.0042        | 444.0  | 15096 | 2.8880          | {'f1': 0.8413284132841329} | {'accuracy': 0.7526366251198466} |
| 0.0042        | 445.0  | 15130 | 2.7701          | {'f1': 0.8407960199004975} | {'accuracy': 0.7545541706615532} |
| 0.0042        | 446.0  | 15164 | 2.6883          | {'f1': 0.8433583959899749} | {'accuracy': 0.7603068072866731} |
| 0.0042        | 447.0  | 15198 | 3.2037          | {'f1': 0.8344291691572026} | {'accuracy': 0.7344199424736337} |
| 0.0042        | 448.0  | 15232 | 2.5410          | {'f1': 0.8372093023255814} | {'accuracy': 0.7583892617449665} |
| 0.0042        | 449.0  | 15266 | 2.6753          | {'f1': 0.8415094339622642} | {'accuracy': 0.7583892617449665} |
| 0.0042        | 450.0  | 15300 | 2.6834          | {'f1': 0.8409805153991201} | {'accuracy': 0.7574304889741131} |
| 0.0042        | 451.0  | 15334 | 2.6860          | {'f1': 0.8409805153991201} | {'accuracy': 0.7574304889741131} |
| 0.0042        | 452.0  | 15368 | 2.4472          | {'f1': 0.8311345646437995} | {'accuracy': 0.7545541706615532} |
| 0.0042        | 453.0  | 15402 | 2.7076          | {'f1': 0.8426270136307311} | {'accuracy': 0.7564717162032598} |
| 0.0042        | 454.0  | 15436 | 2.9443          | {'f1': 0.8379351740696279} | {'accuracy': 0.7411313518696069} |
| 0.0042        | 455.0  | 15470 | 2.6437          | {'f1': 0.840024706609018}  | {'accuracy': 0.7516778523489933} |
| 0.0059        | 456.0  | 15504 | 2.5004          | {'f1': 0.8296488946684005} | {'accuracy': 0.7488015340364333} |
| 0.0059        | 457.0  | 15538 | 2.4383          | {'f1': 0.8282828282828282} | {'accuracy': 0.7555129434324065} |
| 0.0059        | 458.0  | 15572 | 2.8096          | {'f1': 0.8390243902439024} | {'accuracy': 0.7468839884947267} |
| 0.0059        | 459.0  | 15606 | 2.6592          | {'f1': 0.8366583541147131} | {'accuracy': 0.7488015340364333} |
| 0.0059        | 460.0  | 15640 | 2.5181          | {'f1': 0.8345230369889682} | {'accuracy': 0.7555129434324065} |
| 0.0059        | 461.0  | 15674 | 2.5745          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0059        | 462.0  | 15708 | 2.6229          | {'f1': 0.8405797101449275} | {'accuracy': 0.7574304889741131} |
| 0.0059        | 463.0  | 15742 | 2.6767          | {'f1': 0.8409232688708672} | {'accuracy': 0.7555129434324065} |
| 0.0059        | 464.0  | 15776 | 2.6814          | {'f1': 0.8409232688708672} | {'accuracy': 0.7555129434324065} |
| 0.0059        | 465.0  | 15810 | 2.6861          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0059        | 466.0  | 15844 | 2.6917          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0059        | 467.0  | 15878 | 2.6872          | {'f1': 0.84}               | {'accuracy': 0.7545541706615532} |
| 0.0059        | 468.0  | 15912 | 2.6880          | {'f1': 0.84}               | {'accuracy': 0.7545541706615532} |
| 0.0059        | 469.0  | 15946 | 2.6887          | {'f1': 0.8405253283302063} | {'accuracy': 0.7555129434324065} |
| 0.0059        | 470.0  | 15980 | 2.5945          | {'f1': 0.832258064516129}  | {'accuracy': 0.75071907957814}   |
| 0.0021        | 471.0  | 16014 | 2.6036          | {'f1': 0.832258064516129}  | {'accuracy': 0.75071907957814}   |
| 0.0021        | 472.0  | 16048 | 2.8426          | {'f1': 0.840418977202711}  | {'accuracy': 0.7516778523489933} |
| 0.0021        | 473.0  | 16082 | 2.8052          | {'f1': 0.8402734617775015} | {'accuracy': 0.7535953978907}    |
| 0.0021        | 474.0  | 16116 | 3.2189          | {'f1': 0.8371257485029939} | {'accuracy': 0.7392138063279002} |
| 0.0021        | 475.0  | 16150 | 2.5583          | {'f1': 0.8308295231874592} | {'accuracy': 0.7516778523489933} |
| 0.0021        | 476.0  | 16184 | 2.7091          | {'f1': 0.8415779586725111} | {'accuracy': 0.7574304889741131} |
| 0.0021        | 477.0  | 16218 | 2.7367          | {'f1': 0.8395522388059702} | {'accuracy': 0.7526366251198466} |
| 0.0021        | 478.0  | 16252 | 2.6907          | {'f1': 0.8377693282636249} | {'accuracy': 0.7545541706615532} |
| 0.0021        | 479.0  | 16286 | 2.7290          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0021        | 480.0  | 16320 | 2.6727          | {'f1': 0.8385449904275686} | {'accuracy': 0.7574304889741131} |
| 0.0021        | 481.0  | 16354 | 2.6050          | {'f1': 0.8335517693315858} | {'accuracy': 0.7564717162032598} |
| 0.0021        | 482.0  | 16388 | 2.8131          | {'f1': 0.8391521197007481} | {'accuracy': 0.7526366251198466} |
| 0.0021        | 483.0  | 16422 | 2.6203          | {'f1': 0.837299035369775}  | {'accuracy': 0.7574304889741131} |
| 0.0021        | 484.0  | 16456 | 2.7171          | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0021        | 485.0  | 16490 | 3.0218          | {'f1': 0.8403157255616271} | {'accuracy': 0.74784276126558}   |
| 0.0019        | 486.0  | 16524 | 2.7476          | {'f1': 0.8414403032217308} | {'accuracy': 0.7593480345158198} |
| 0.0019        | 487.0  | 16558 | 2.7457          | {'f1': 0.8407079646017699} | {'accuracy': 0.7583892617449665} |
| 0.0019        | 488.0  | 16592 | 2.7488          | {'f1': 0.8407079646017699} | {'accuracy': 0.7583892617449665} |
| 0.0019        | 489.0  | 16626 | 2.7570          | {'f1': 0.8414403032217308} | {'accuracy': 0.7593480345158198} |
| 0.0019        | 490.0  | 16660 | 2.7705          | {'f1': 0.8421717171717172} | {'accuracy': 0.7603068072866731} |
| 0.0019        | 491.0  | 16694 | 2.7697          | {'f1': 0.8421717171717172} | {'accuracy': 0.7603068072866731} |
| 0.0019        | 492.0  | 16728 | 2.7588          | {'f1': 0.8403041825095058} | {'accuracy': 0.7583892617449665} |
| 0.0019        | 493.0  | 16762 | 2.7615          | {'f1': 0.8403041825095058} | {'accuracy': 0.7583892617449665} |
| 0.0019        | 494.0  | 16796 | 3.1328          | {'f1': 0.8414043583535109} | {'accuracy': 0.7488015340364333} |
| 0.0019        | 495.0  | 16830 | 3.2243          | {'f1': 0.8373493975903615} | {'accuracy': 0.7411313518696069} |
| 0.0019        | 496.0  | 16864 | 2.9653          | {'f1': 0.8386699507389164} | {'accuracy': 0.7488015340364333} |
| 0.0019        | 497.0  | 16898 | 2.5668          | {'f1': 0.8325487558843309} | {'accuracy': 0.7612655800575263} |
| 0.0019        | 498.0  | 16932 | 2.8481          | {'f1': 0.840418977202711}  | {'accuracy': 0.7516778523489933} |
| 0.0019        | 499.0  | 16966 | 2.6740          | {'f1': 0.8421717171717172} | {'accuracy': 0.7603068072866731} |
| 0.0018        | 500.0  | 17000 | 2.5600          | {'f1': 0.8356435643564357} | {'accuracy': 0.7612655800575263} |
| 0.0018        | 501.0  | 17034 | 2.5829          | {'f1': 0.8376068376068375} | {'accuracy': 0.763183125599233}  |
| 0.0018        | 502.0  | 17068 | 2.9520          | {'f1': 0.8411442483262326} | {'accuracy': 0.7497603068072867} |
| 0.0018        | 503.0  | 17102 | 2.5230          | {'f1': 0.8441558441558442} | {'accuracy': 0.7698945349952061} |
| 0.0018        | 504.0  | 17136 | 2.6823          | {'f1': 0.8436911487758946} | {'accuracy': 0.7612655800575263} |
| 0.0018        | 505.0  | 17170 | 2.7025          | {'f1': 0.8435544430538173} | {'accuracy': 0.7603068072866731} |
| 0.0018        | 506.0  | 17204 | 2.7052          | {'f1': 0.844082654978084}  | {'accuracy': 0.7612655800575263} |
| 0.0018        | 507.0  | 17238 | 2.7081          | {'f1': 0.844082654978084}  | {'accuracy': 0.7612655800575263} |
| 0.0018        | 508.0  | 17272 | 2.7151          | {'f1': 0.8430268918073796} | {'accuracy': 0.7593480345158198} |
| 0.0018        | 509.0  | 17306 | 2.7236          | {'f1': 0.8432229856339788} | {'accuracy': 0.7593480345158198} |
| 0.0018        | 510.0  | 17340 | 2.7288          | {'f1': 0.8432229856339788} | {'accuracy': 0.7593480345158198} |
| 0.0018        | 511.0  | 17374 | 2.7628          | {'f1': 0.8425637834474176} | {'accuracy': 0.7574304889741131} |
| 0.0018        | 512.0  | 17408 | 2.7730          | {'f1': 0.8425637834474176} | {'accuracy': 0.7574304889741131} |
| 0.0018        | 513.0  | 17442 | 2.8088          | {'f1': 0.8426270136307311} | {'accuracy': 0.7564717162032598} |
| 0.0018        | 514.0  | 17476 | 2.7555          | {'f1': 0.8426332288401255} | {'accuracy': 0.7593480345158198} |
| 0.0023        | 515.0  | 17510 | 2.8072          | {'f1': 0.8405977584059775} | {'accuracy': 0.7545541706615532} |
| 0.0023        | 516.0  | 17544 | 2.7877          | {'f1': 0.8395989974937343} | {'accuracy': 0.7545541706615532} |
| 0.0023        | 517.0  | 17578 | 2.7925          | {'f1': 0.8395989974937343} | {'accuracy': 0.7545541706615532} |
| 0.0023        | 518.0  | 17612 | 2.8634          | {'f1': 0.8430160692212608} | {'accuracy': 0.7564717162032598} |
| 0.0023        | 519.0  | 17646 | 2.6918          | {'f1': 0.8405612244897959} | {'accuracy': 0.7603068072866731} |
| 0.0023        | 520.0  | 17680 | 2.6507          | {'f1': 0.839425587467363}  | {'accuracy': 0.7641418983700863} |
| 0.0023        | 521.0  | 17714 | 2.6582          | {'f1': 0.839425587467363}  | {'accuracy': 0.7641418983700863} |
| 0.0023        | 522.0  | 17748 | 2.6777          | {'f1': 0.838206627680312}  | {'accuracy': 0.7612655800575263} |
| 0.0023        | 523.0  | 17782 | 2.6893          | {'f1': 0.8393782383419689} | {'accuracy': 0.7622243528283796} |
| 0.0023        | 524.0  | 17816 | 2.7195          | {'f1': 0.8381317978246962} | {'accuracy': 0.7574304889741131} |
| 0.0023        | 525.0  | 17850 | 2.7556          | {'f1': 0.8407643312101911} | {'accuracy': 0.7603068072866731} |
| 0.0023        | 526.0  | 17884 | 2.7625          | {'f1': 0.841502227880331}  | {'accuracy': 0.7612655800575263} |
| 0.0023        | 527.0  | 17918 | 2.7651          | {'f1': 0.8409669211195929} | {'accuracy': 0.7603068072866731} |
| 0.0023        | 528.0  | 17952 | 2.7865          | {'f1': 0.8406349206349206} | {'accuracy': 0.7593480345158198} |
| 0.0023        | 529.0  | 17986 | 2.7938          | {'f1': 0.8413705583756345} | {'accuracy': 0.7603068072866731} |
| 0.0           | 530.0  | 18020 | 2.8313          | {'f1': 0.8436317780580076} | {'accuracy': 0.7622243528283796} |
| 0.0           | 531.0  | 18054 | 3.0190          | {'f1': 0.8442521631644005} | {'accuracy': 0.7583892617449665} |
| 0.0           | 532.0  | 18088 | 3.0035          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 533.0  | 18122 | 3.1189          | {'f1': 0.8403465346534654} | {'accuracy': 0.7526366251198466} |
| 0.0           | 534.0  | 18156 | 3.1287          | {'f1': 0.8403465346534654} | {'accuracy': 0.7526366251198466} |
| 0.0           | 535.0  | 18190 | 2.9201          | {'f1': 0.8435718809373022} | {'accuracy': 0.763183125599233}  |
| 0.0           | 536.0  | 18224 | 3.1018          | {'f1': 0.8413878562577447} | {'accuracy': 0.7545541706615532} |
| 0.0           | 537.0  | 18258 | 2.9163          | {'f1': 0.8406735751295337} | {'accuracy': 0.7641418983700863} |
| 0.0           | 538.0  | 18292 | 3.1607          | {'f1': 0.8391521197007481} | {'accuracy': 0.7526366251198466} |
| 0.0           | 539.0  | 18326 | 2.9552          | {'f1': 0.8309764309764309} | {'accuracy': 0.7593480345158198} |
| 0.0           | 540.0  | 18360 | 3.2303          | {'f1': 0.8395522388059702} | {'accuracy': 0.7526366251198466} |
| 0.0           | 541.0  | 18394 | 3.1611          | {'f1': 0.8395989974937343} | {'accuracy': 0.7545541706615532} |
| 0.0           | 542.0  | 18428 | 3.1450          | {'f1': 0.8406524466750315} | {'accuracy': 0.7564717162032598} |
| 0.0           | 543.0  | 18462 | 3.1537          | {'f1': 0.8406524466750315} | {'accuracy': 0.7564717162032598} |
| 0.0           | 544.0  | 18496 | 2.9722          | {'f1': 0.8428479794740218} | {'accuracy': 0.7651006711409396} |
| 0.0011        | 545.0  | 18530 | 3.0524          | {'f1': 0.8448928121059269} | {'accuracy': 0.7641418983700863} |
| 0.0011        | 546.0  | 18564 | 3.2339          | {'f1': 0.837954405422058}  | {'accuracy': 0.74784276126558}   |
| 0.0011        | 547.0  | 18598 | 3.2356          | {'f1': 0.837954405422058}  | {'accuracy': 0.74784276126558}   |
| 0.0011        | 548.0  | 18632 | 3.1960          | {'f1': 0.8403465346534654} | {'accuracy': 0.7526366251198466} |
| 0.0011        | 549.0  | 18666 | 3.1065          | {'f1': 0.844082654978084}  | {'accuracy': 0.7612655800575263} |
| 0.0011        | 550.0  | 18700 | 3.0559          | {'f1': 0.8452305748578648} | {'accuracy': 0.7651006711409396} |
| 0.0011        | 551.0  | 18734 | 3.0519          | {'f1': 0.8452305748578648} | {'accuracy': 0.7651006711409396} |
| 0.0011        | 552.0  | 18768 | 3.0572          | {'f1': 0.8452305748578648} | {'accuracy': 0.7651006711409396} |
| 0.0011        | 553.0  | 18802 | 3.0586          | {'f1': 0.8452305748578648} | {'accuracy': 0.7651006711409396} |
| 0.0011        | 554.0  | 18836 | 3.0616          | {'f1': 0.8452305748578648} | {'accuracy': 0.7651006711409396} |
| 0.0011        | 555.0  | 18870 | 2.9069          | {'f1': 0.8338892595063376} | {'accuracy': 0.7612655800575263} |
| 0.0011        | 556.0  | 18904 | 3.0913          | {'f1': 0.8419737663960025} | {'accuracy': 0.7574304889741131} |
| 0.0011        | 557.0  | 18938 | 2.9118          | {'f1': 0.839124839124839}  | {'accuracy': 0.7603068072866731} |
| 0.0011        | 558.0  | 18972 | 2.8145          | {'f1': 0.8312375909993381} | {'accuracy': 0.7555129434324065} |
| 0.0017        | 559.0  | 19006 | 2.8932          | {'f1': 0.841300191204589}  | {'accuracy': 0.7612655800575263} |
| 0.0017        | 560.0  | 19040 | 3.3450          | {'f1': 0.8364741641337385} | {'accuracy': 0.7420901246404602} |
| 0.0017        | 561.0  | 19074 | 2.7462          | {'f1': 0.8367875647668395} | {'accuracy': 0.7583892617449665} |
| 0.0017        | 562.0  | 19108 | 2.8912          | {'f1': 0.8385053831538949} | {'accuracy': 0.7555129434324065} |
| 0.0017        | 563.0  | 19142 | 2.9074          | {'f1': 0.8394437420986094} | {'accuracy': 0.7564717162032598} |
| 0.0017        | 564.0  | 19176 | 2.9109          | {'f1': 0.8401768793430195} | {'accuracy': 0.7574304889741131} |
| 0.0017        | 565.0  | 19210 | 2.9144          | {'f1': 0.8401768793430195} | {'accuracy': 0.7574304889741131} |
| 0.0017        | 566.0  | 19244 | 2.9008          | {'f1': 0.8390367553865652} | {'accuracy': 0.7564717162032598} |
| 0.0017        | 567.0  | 19278 | 2.9005          | {'f1': 0.8390367553865652} | {'accuracy': 0.7564717162032598} |
| 0.0017        | 568.0  | 19312 | 2.9041          | {'f1': 0.8390367553865652} | {'accuracy': 0.7564717162032598} |
| 0.0017        | 569.0  | 19346 | 2.8724          | {'f1': 0.8392857142857142} | {'accuracy': 0.7583892617449665} |
| 0.0017        | 570.0  | 19380 | 2.8106          | {'f1': 0.8376068376068375} | {'accuracy': 0.763183125599233}  |
| 0.0017        | 571.0  | 19414 | 2.9517          | {'f1': 0.8393524283935242} | {'accuracy': 0.7526366251198466} |
| 0.0017        | 572.0  | 19448 | 3.1770          | {'f1': 0.838749233599019}  | {'accuracy': 0.74784276126558}   |
| 0.0017        | 573.0  | 19482 | 2.8087          | {'f1': 0.8463022508038586} | {'accuracy': 0.7708533077660594} |
| 0.0035        | 574.0  | 19516 | 2.8659          | {'f1': 0.8447837150127226} | {'accuracy': 0.7660594439117929} |
| 0.0035        | 575.0  | 19550 | 2.8199          | {'f1': 0.8437900128040973} | {'accuracy': 0.7660594439117929} |
| 0.0035        | 576.0  | 19584 | 2.8267          | {'f1': 0.8439897698209718} | {'accuracy': 0.7660594439117929} |
| 0.0035        | 577.0  | 19618 | 2.8513          | {'f1': 0.8451242829827915} | {'accuracy': 0.7670182166826462} |
| 0.0035        | 578.0  | 19652 | 2.6924          | {'f1': 0.8369926813040585} | {'accuracy': 0.7651006711409396} |
| 0.0035        | 579.0  | 19686 | 2.6959          | {'f1': 0.83994708994709}   | {'accuracy': 0.7679769894534996} |
| 0.0035        | 580.0  | 19720 | 2.7683          | {'f1': 0.8435114503816794} | {'accuracy': 0.7641418983700863} |
| 0.0035        | 581.0  | 19754 | 3.0111          | {'f1': 0.8404907975460122} | {'accuracy': 0.75071907957814}   |
| 0.0035        | 582.0  | 19788 | 3.0117          | {'f1': 0.8410067526089625} | {'accuracy': 0.7516778523489933} |
| 0.0035        | 583.0  | 19822 | 2.6870          | {'f1': 0.8396946564885497} | {'accuracy': 0.7583892617449665} |
| 0.0035        | 584.0  | 19856 | 2.7800          | {'f1': 0.8408521303258145} | {'accuracy': 0.7564717162032598} |
| 0.0035        | 585.0  | 19890 | 2.8259          | {'f1': 0.8428927680798005} | {'accuracy': 0.7583892617449665} |
| 0.0035        | 586.0  | 19924 | 2.8269          | {'f1': 0.842170929507174}  | {'accuracy': 0.7574304889741131} |
| 0.0035        | 587.0  | 19958 | 2.8064          | {'f1': 0.8407245471580262} | {'accuracy': 0.7555129434324065} |
| 0.0035        | 588.0  | 19992 | 2.8121          | {'f1': 0.8407245471580262} | {'accuracy': 0.7555129434324065} |
| 0.0027        | 589.0  | 20026 | 2.8147          | {'f1': 0.8407245471580262} | {'accuracy': 0.7555129434324065} |
| 0.0027        | 590.0  | 20060 | 2.8251          | {'f1': 0.8407245471580262} | {'accuracy': 0.7555129434324065} |
| 0.0027        | 591.0  | 20094 | 2.8277          | {'f1': 0.8407245471580262} | {'accuracy': 0.7555129434324065} |
| 0.0027        | 592.0  | 20128 | 2.8308          | {'f1': 0.8407245471580262} | {'accuracy': 0.7555129434324065} |
| 0.0027        | 593.0  | 20162 | 2.8341          | {'f1': 0.8407245471580262} | {'accuracy': 0.7555129434324065} |
| 0.0027        | 594.0  | 20196 | 2.8349          | {'f1': 0.8407245471580262} | {'accuracy': 0.7555129434324065} |
| 0.0027        | 595.0  | 20230 | 2.8360          | {'f1': 0.8407245471580262} | {'accuracy': 0.7555129434324065} |
| 0.0027        | 596.0  | 20264 | 2.9174          | {'f1': 0.8430160692212608} | {'accuracy': 0.7564717162032598} |
| 0.0027        | 597.0  | 20298 | 2.7736          | {'f1': 0.8398983481575605} | {'accuracy': 0.7583892617449665} |
| 0.0027        | 598.0  | 20332 | 2.8574          | {'f1': 0.8456712672521958} | {'accuracy': 0.7641418983700863} |
| 0.0027        | 599.0  | 20366 | 2.8608          | {'f1': 0.8456712672521958} | {'accuracy': 0.7641418983700863} |
| 0.0027        | 600.0  | 20400 | 2.8844          | {'f1': 0.8453350031308704} | {'accuracy': 0.763183125599233}  |
| 0.0027        | 601.0  | 20434 | 2.8882          | {'f1': 0.8453350031308704} | {'accuracy': 0.763183125599233}  |
| 0.0027        | 602.0  | 20468 | 2.8884          | {'f1': 0.8453350031308704} | {'accuracy': 0.763183125599233}  |
| 0.0015        | 603.0  | 20502 | 2.8916          | {'f1': 0.8453350031308704} | {'accuracy': 0.763183125599233}  |
| 0.0015        | 604.0  | 20536 | 2.8952          | {'f1': 0.8453350031308704} | {'accuracy': 0.763183125599233}  |
| 0.0015        | 605.0  | 20570 | 2.7938          | {'f1': 0.8369152970922884} | {'accuracy': 0.7526366251198466} |
| 0.0015        | 606.0  | 20604 | 2.9111          | {'f1': 0.8391521197007481} | {'accuracy': 0.7526366251198466} |
| 0.0015        | 607.0  | 20638 | 2.9166          | {'f1': 0.8386292834890965} | {'accuracy': 0.7516778523489933} |
| 0.0015        | 608.0  | 20672 | 2.9669          | {'f1': 0.8424953675108092} | {'accuracy': 0.7555129434324065} |
| 0.0015        | 609.0  | 20706 | 2.9137          | {'f1': 0.8389513108614233} | {'accuracy': 0.7526366251198466} |
| 0.0015        | 610.0  | 20740 | 2.8178          | {'f1': 0.8385053831538949} | {'accuracy': 0.7555129434324065} |
| 0.0015        | 611.0  | 20774 | 2.8212          | {'f1': 0.8385053831538949} | {'accuracy': 0.7555129434324065} |
| 0.0015        | 612.0  | 20808 | 2.8262          | {'f1': 0.8385053831538949} | {'accuracy': 0.7555129434324065} |
| 0.0015        | 613.0  | 20842 | 2.9007          | {'f1': 0.8397234443746072} | {'accuracy': 0.7555129434324065} |
| 0.0015        | 614.0  | 20876 | 2.9044          | {'f1': 0.8397234443746072} | {'accuracy': 0.7555129434324065} |
| 0.0015        | 615.0  | 20910 | 2.8261          | {'f1': 0.8378893833439287} | {'accuracy': 0.7555129434324065} |
| 0.0015        | 616.0  | 20944 | 3.2320          | {'f1': 0.8419139915202907} | {'accuracy': 0.7497603068072867} |
| 0.0015        | 617.0  | 20978 | 2.9549          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0015        | 618.0  | 21012 | 2.9439          | {'f1': 0.8375314861460957} | {'accuracy': 0.7526366251198466} |
| 0.0015        | 619.0  | 21046 | 3.1955          | {'f1': 0.8440925700365408} | {'accuracy': 0.7545541706615532} |
| 0.0015        | 620.0  | 21080 | 3.0307          | {'f1': 0.8360450563204005} | {'accuracy': 0.7488015340364333} |
| 0.0015        | 621.0  | 21114 | 3.0285          | {'f1': 0.8360450563204005} | {'accuracy': 0.7488015340364333} |
| 0.0015        | 622.0  | 21148 | 2.8398          | {'f1': 0.8365019011406846} | {'accuracy': 0.7526366251198466} |
| 0.0015        | 623.0  | 21182 | 2.8117          | {'f1': 0.8368522072936659} | {'accuracy': 0.7555129434324065} |
| 0.0015        | 624.0  | 21216 | 2.8077          | {'f1': 0.8382541720154044} | {'accuracy': 0.7583892617449665} |
| 0.0015        | 625.0  | 21250 | 2.8137          | {'f1': 0.837924407431134}  | {'accuracy': 0.7574304889741131} |
| 0.0015        | 626.0  | 21284 | 2.8642          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0015        | 627.0  | 21318 | 2.8839          | {'f1': 0.8404522613065327} | {'accuracy': 0.7564717162032598} |
| 0.0015        | 628.0  | 21352 | 2.8897          | {'f1': 0.8404522613065327} | {'accuracy': 0.7564717162032598} |
| 0.0015        | 629.0  | 21386 | 2.7354          | {'f1': 0.8275401069518716} | {'accuracy': 0.7526366251198466} |
| 0.0015        | 630.0  | 21420 | 2.8438          | {'f1': 0.8375634517766497} | {'accuracy': 0.7545541706615532} |
| 0.0015        | 631.0  | 21454 | 2.7435          | {'f1': 0.8371187540558079} | {'accuracy': 0.7593480345158198} |
| 0.0015        | 632.0  | 21488 | 3.0514          | {'f1': 0.8437884378843787} | {'accuracy': 0.7564717162032598} |
| 0.0024        | 633.0  | 21522 | 3.1385          | {'f1': 0.8419117647058822} | {'accuracy': 0.7526366251198466} |
| 0.0024        | 634.0  | 21556 | 2.7682          | {'f1': 0.8380829015544042} | {'accuracy': 0.7603068072866731} |
| 0.0024        | 635.0  | 21590 | 3.0654          | {'f1': 0.8427518427518428} | {'accuracy': 0.7545541706615532} |
| 0.0024        | 636.0  | 21624 | 2.8195          | {'f1': 0.8378033205619413} | {'accuracy': 0.7564717162032598} |
| 0.0024        | 637.0  | 21658 | 2.9246          | {'f1': 0.844082654978084}  | {'accuracy': 0.7612655800575263} |
| 0.0024        | 638.0  | 21692 | 3.1259          | {'f1': 0.8419117647058822} | {'accuracy': 0.7526366251198466} |
| 0.0024        | 639.0  | 21726 | 3.0291          | {'f1': 0.8456292622442653} | {'accuracy': 0.7612655800575263} |
| 0.0024        | 640.0  | 21760 | 2.8685          | {'f1': 0.8328981723237598} | {'accuracy': 0.7545541706615532} |
| 0.0024        | 641.0  | 21794 | 2.8966          | {'f1': 0.8401534526854221} | {'accuracy': 0.7603068072866731} |
| 0.0024        | 642.0  | 21828 | 3.0719          | {'f1': 0.8453481207640172} | {'accuracy': 0.7593480345158198} |
| 0.0024        | 643.0  | 21862 | 3.0737          | {'f1': 0.8453481207640172} | {'accuracy': 0.7593480345158198} |
| 0.0024        | 644.0  | 21896 | 3.0739          | {'f1': 0.8453481207640172} | {'accuracy': 0.7593480345158198} |
| 0.0024        | 645.0  | 21930 | 3.0741          | {'f1': 0.8458692971639952} | {'accuracy': 0.7603068072866731} |
| 0.0024        | 646.0  | 21964 | 3.0746          | {'f1': 0.8458692971639952} | {'accuracy': 0.7603068072866731} |
| 0.0024        | 647.0  | 21998 | 3.0600          | {'f1': 0.845679012345679}  | {'accuracy': 0.7603068072866731} |
| 0.0015        | 648.0  | 22032 | 2.9669          | {'f1': 0.8430268918073796} | {'accuracy': 0.7593480345158198} |
| 0.0015        | 649.0  | 22066 | 2.8459          | {'f1': 0.835193696651346}  | {'accuracy': 0.7593480345158198} |
| 0.0015        | 650.0  | 22100 | 3.3386          | {'f1': 0.8432563791008505} | {'accuracy': 0.7526366251198466} |
| 0.0015        | 651.0  | 22134 | 3.3767          | {'f1': 0.8429351121892056} | {'accuracy': 0.7516778523489933} |
| 0.0015        | 652.0  | 22168 | 3.3389          | {'f1': 0.8432563791008505} | {'accuracy': 0.7526366251198466} |
| 0.0015        | 653.0  | 22202 | 3.3229          | {'f1': 0.8440925700365408} | {'accuracy': 0.7545541706615532} |
| 0.0015        | 654.0  | 22236 | 3.3206          | {'f1': 0.8446069469835467} | {'accuracy': 0.7555129434324065} |
| 0.0015        | 655.0  | 22270 | 2.8669          | {'f1': 0.8390433096315449} | {'accuracy': 0.7612655800575263} |
| 0.0015        | 656.0  | 22304 | 2.8560          | {'f1': 0.8359375000000001} | {'accuracy': 0.7583892617449665} |
| 0.0015        | 657.0  | 22338 | 2.8596          | {'f1': 0.8374512353706112} | {'accuracy': 0.7603068072866731} |
| 0.0015        | 658.0  | 22372 | 2.8640          | {'f1': 0.8386260531432276} | {'accuracy': 0.7612655800575263} |
| 0.0015        | 659.0  | 22406 | 2.8739          | {'f1': 0.84}               | {'accuracy': 0.7622243528283796} |
| 0.0015        | 660.0  | 22440 | 2.8786          | {'f1': 0.8422408242112042} | {'accuracy': 0.7651006711409396} |
| 0.0015        | 661.0  | 22474 | 3.0281          | {'f1': 0.8462500000000001} | {'accuracy': 0.7641418983700863} |
| 0.0009        | 662.0  | 22508 | 3.0632          | {'f1': 0.8453865336658354} | {'accuracy': 0.7622243528283796} |
| 0.0009        | 663.0  | 22542 | 3.0650          | {'f1': 0.8453865336658354} | {'accuracy': 0.7622243528283796} |
| 0.0009        | 664.0  | 22576 | 3.0647          | {'f1': 0.8453865336658354} | {'accuracy': 0.7622243528283796} |
| 0.0009        | 665.0  | 22610 | 3.0650          | {'f1': 0.8459139114160948} | {'accuracy': 0.763183125599233}  |
| 0.0009        | 666.0  | 22644 | 2.8335          | {'f1': 0.8356435643564357} | {'accuracy': 0.7612655800575263} |
| 0.0009        | 667.0  | 22678 | 3.6002          | {'f1': 0.8363201911589008} | {'accuracy': 0.7372962607861937} |
| 0.0009        | 668.0  | 22712 | 2.8852          | {'f1': 0.8420373952288847} | {'accuracy': 0.7651006711409396} |
| 0.0009        | 669.0  | 22746 | 2.9744          | {'f1': 0.8397720075997466} | {'accuracy': 0.7574304889741131} |
| 0.0009        | 670.0  | 22780 | 2.9828          | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0009        | 671.0  | 22814 | 2.9874          | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0009        | 672.0  | 22848 | 2.9887          | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0009        | 673.0  | 22882 | 2.9903          | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0009        | 674.0  | 22916 | 2.9922          | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0009        | 675.0  | 22950 | 2.9965          | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0009        | 676.0  | 22984 | 2.9995          | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0014        | 677.0  | 23018 | 3.0019          | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0014        | 678.0  | 23052 | 3.0081          | {'f1': 0.840378548895899}  | {'accuracy': 0.7574304889741131} |
| 0.0014        | 679.0  | 23086 | 3.2019          | {'f1': 0.8422344996930632} | {'accuracy': 0.7535953978907}    |
| 0.0014        | 680.0  | 23120 | 2.9295          | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0014        | 681.0  | 23154 | 2.9268          | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0014        | 682.0  | 23188 | 2.9346          | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0014        | 683.0  | 23222 | 2.9397          | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0014        | 684.0  | 23256 | 2.9429          | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0014        | 685.0  | 23290 | 3.1432          | {'f1': 0.8413878562577447} | {'accuracy': 0.7545541706615532} |
| 0.0014        | 686.0  | 23324 | 3.5300          | {'f1': 0.8385542168674699} | {'accuracy': 0.7430488974113135} |
| 0.0014        | 687.0  | 23358 | 3.1182          | {'f1': 0.8438661710037174} | {'accuracy': 0.7583892617449665} |
| 0.0014        | 688.0  | 23392 | 3.1548          | {'f1': 0.8424953675108092} | {'accuracy': 0.7555129434324065} |
| 0.0014        | 689.0  | 23426 | 3.1529          | {'f1': 0.8424953675108092} | {'accuracy': 0.7555129434324065} |
| 0.0014        | 690.0  | 23460 | 3.1593          | {'f1': 0.8424953675108092} | {'accuracy': 0.7555129434324065} |
| 0.0014        | 691.0  | 23494 | 3.1600          | {'f1': 0.8424953675108092} | {'accuracy': 0.7555129434324065} |
| 0.0011        | 692.0  | 23528 | 3.1630          | {'f1': 0.8424953675108092} | {'accuracy': 0.7555129434324065} |
| 0.0011        | 693.0  | 23562 | 3.0266          | {'f1': 0.8395217117684078} | {'accuracy': 0.7555129434324065} |
| 0.0011        | 694.0  | 23596 | 2.9661          | {'f1': 0.8388746803069054} | {'accuracy': 0.7583892617449665} |
| 0.0011        | 695.0  | 23630 | 2.9710          | {'f1': 0.8393650793650793} | {'accuracy': 0.7574304889741131} |
| 0.0011        | 696.0  | 23664 | 2.9480          | {'f1': 0.8354922279792747} | {'accuracy': 0.7564717162032598} |
| 0.0011        | 697.0  | 23698 | 3.0036          | {'f1': 0.837238758708043}  | {'accuracy': 0.7535953978907}    |
| 0.0011        | 698.0  | 23732 | 3.5675          | {'f1': 0.8378541289933695} | {'accuracy': 0.7420901246404602} |
| 0.0011        | 699.0  | 23766 | 2.9796          | {'f1': 0.8388324873096447} | {'accuracy': 0.7564717162032598} |
| 0.0011        | 700.0  | 23800 | 3.5724          | {'f1': 0.8373493975903615} | {'accuracy': 0.7411313518696069} |
| 0.0011        | 701.0  | 23834 | 3.1092          | {'f1': 0.836341008089608}  | {'accuracy': 0.74784276126558}   |
| 0.0011        | 702.0  | 23868 | 3.0981          | {'f1': 0.8368617683686177} | {'accuracy': 0.7488015340364333} |
| 0.0011        | 703.0  | 23902 | 3.0988          | {'f1': 0.8368617683686177} | {'accuracy': 0.7488015340364333} |
| 0.0011        | 704.0  | 23936 | 3.1014          | {'f1': 0.8368617683686177} | {'accuracy': 0.7488015340364333} |
| 0.0011        | 705.0  | 23970 | 2.9096          | {'f1': 0.835820895522388}  | {'accuracy': 0.7574304889741131} |
| 0.0011        | 706.0  | 24004 | 2.8964          | {'f1': 0.835742444152431}  | {'accuracy': 0.7603068072866731} |
| 0.0011        | 707.0  | 24038 | 3.1746          | {'f1': 0.8408521303258145} | {'accuracy': 0.7564717162032598} |
| 0.0011        | 708.0  | 24072 | 3.2400          | {'f1': 0.8395522388059702} | {'accuracy': 0.7526366251198466} |
| 0.0011        | 709.0  | 24106 | 3.2435          | {'f1': 0.8395522388059702} | {'accuracy': 0.7526366251198466} |
| 0.0011        | 710.0  | 24140 | 3.2399          | {'f1': 0.8395522388059702} | {'accuracy': 0.7526366251198466} |
| 0.0011        | 711.0  | 24174 | 3.2439          | {'f1': 0.8395522388059702} | {'accuracy': 0.7526366251198466} |
| 0.0011        | 712.0  | 24208 | 3.2452          | {'f1': 0.8395522388059702} | {'accuracy': 0.7526366251198466} |
| 0.0011        | 713.0  | 24242 | 3.2460          | {'f1': 0.8395522388059702} | {'accuracy': 0.7526366251198466} |
| 0.0011        | 714.0  | 24276 | 3.2482          | {'f1': 0.8395522388059702} | {'accuracy': 0.7526366251198466} |
| 0.0011        | 715.0  | 24310 | 3.2496          | {'f1': 0.8395522388059702} | {'accuracy': 0.7526366251198466} |
| 0.0011        | 716.0  | 24344 | 2.8230          | {'f1': 0.8267558528428093} | {'accuracy': 0.7516778523489933} |
| 0.0011        | 717.0  | 24378 | 3.0923          | {'f1': 0.8367473618870268} | {'accuracy': 0.74784276126558}   |
| 0.0011        | 718.0  | 24412 | 3.1070          | {'f1': 0.8366583541147131} | {'accuracy': 0.7488015340364333} |
| 0.0011        | 719.0  | 24446 | 3.1593          | {'f1': 0.8410636982065552} | {'accuracy': 0.7535953978907}    |
| 0.0011        | 720.0  | 24480 | 3.4845          | {'f1': 0.8378216636744464} | {'accuracy': 0.7401725790987536} |
| 0.0043        | 721.0  | 24514 | 2.9314          | {'f1': 0.8373266078184111} | {'accuracy': 0.7526366251198466} |
| 0.0043        | 722.0  | 24548 | 2.9134          | {'f1': 0.837650031585597}  | {'accuracy': 0.7535953978907}    |
| 0.0043        | 723.0  | 24582 | 2.9149          | {'f1': 0.837650031585597}  | {'accuracy': 0.7535953978907}    |
| 0.0043        | 724.0  | 24616 | 2.9433          | {'f1': 0.8373266078184111} | {'accuracy': 0.7526366251198466} |
| 0.0043        | 725.0  | 24650 | 2.9492          | {'f1': 0.8373266078184111} | {'accuracy': 0.7526366251198466} |
| 0.0043        | 726.0  | 24684 | 2.9308          | {'f1': 0.8371212121212122} | {'accuracy': 0.7526366251198466} |
| 0.0043        | 727.0  | 24718 | 2.9115          | {'f1': 0.8359721342621914} | {'accuracy': 0.7516778523489933} |
| 0.0043        | 728.0  | 24752 | 3.3925          | {'f1': 0.8399518652226233} | {'accuracy': 0.7449664429530202} |
| 0.0043        | 729.0  | 24786 | 2.8874          | {'f1': 0.8383005707038681} | {'accuracy': 0.7555129434324065} |
| 0.0043        | 730.0  | 24820 | 2.8933          | {'f1': 0.8390367553865652} | {'accuracy': 0.7564717162032598} |
| 0.0043        | 731.0  | 24854 | 2.7986          | {'f1': 0.8317089018843405} | {'accuracy': 0.7516778523489933} |
| 0.0043        | 732.0  | 24888 | 2.7958          | {'f1': 0.8307291666666667} | {'accuracy': 0.75071907957814}   |
| 0.0043        | 733.0  | 24922 | 2.8255          | {'f1': 0.8336569579288027} | {'accuracy': 0.7535953978907}    |
| 0.0043        | 734.0  | 24956 | 2.8411          | {'f1': 0.832258064516129}  | {'accuracy': 0.75071907957814}   |
| 0.0043        | 735.0  | 24990 | 3.2118          | {'f1': 0.8390243902439024} | {'accuracy': 0.7468839884947267} |
| 0.0023        | 736.0  | 25024 | 2.8077          | {'f1': 0.8343004513217279} | {'accuracy': 0.7535953978907}    |
| 0.0023        | 737.0  | 25058 | 2.8435          | {'f1': 0.834293026231606}  | {'accuracy': 0.7516778523489933} |
| 0.0023        | 738.0  | 25092 | 2.8521          | {'f1': 0.8337595907928389} | {'accuracy': 0.75071907957814}   |
| 0.0023        | 739.0  | 25126 | 2.8913          | {'f1': 0.832908163265306}  | {'accuracy': 0.7488015340364333} |
| 0.0023        | 740.0  | 25160 | 2.8955          | {'f1': 0.832908163265306}  | {'accuracy': 0.7488015340364333} |
| 0.0023        | 741.0  | 25194 | 2.8995          | {'f1': 0.832908163265306}  | {'accuracy': 0.7488015340364333} |
| 0.0023        | 742.0  | 25228 | 2.8991          | {'f1': 0.832908163265306}  | {'accuracy': 0.7488015340364333} |
| 0.0023        | 743.0  | 25262 | 2.9040          | {'f1': 0.832908163265306}  | {'accuracy': 0.7488015340364333} |
| 0.0023        | 744.0  | 25296 | 2.9465          | {'f1': 0.8390367553865652} | {'accuracy': 0.7564717162032598} |
| 0.0023        | 745.0  | 25330 | 2.9596          | {'f1': 0.8394437420986094} | {'accuracy': 0.7564717162032598} |
| 0.0023        | 746.0  | 25364 | 2.9590          | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0023        | 747.0  | 25398 | 2.9597          | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0023        | 748.0  | 25432 | 2.9618          | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0023        | 749.0  | 25466 | 2.9805          | {'f1': 0.840378548895899}  | {'accuracy': 0.7574304889741131} |
| 0.0           | 750.0  | 25500 | 2.9831          | {'f1': 0.8398486759142497} | {'accuracy': 0.7564717162032598} |
| 0.0           | 751.0  | 25534 | 2.9550          | {'f1': 0.8386277001270648} | {'accuracy': 0.7564717162032598} |
| 0.0           | 752.0  | 25568 | 2.9528          | {'f1': 0.8391608391608393} | {'accuracy': 0.7574304889741131} |
| 0.0           | 753.0  | 25602 | 2.9878          | {'f1': 0.8389134554643083} | {'accuracy': 0.7555129434324065} |
| 0.0           | 754.0  | 25636 | 2.9908          | {'f1': 0.8389134554643083} | {'accuracy': 0.7555129434324065} |
| 0.0           | 755.0  | 25670 | 2.9924          | {'f1': 0.8389134554643083} | {'accuracy': 0.7555129434324065} |
| 0.0           | 756.0  | 25704 | 2.9938          | {'f1': 0.8389134554643083} | {'accuracy': 0.7555129434324065} |
| 0.0           | 757.0  | 25738 | 3.0004          | {'f1': 0.8389134554643083} | {'accuracy': 0.7555129434324065} |
| 0.0           | 758.0  | 25772 | 3.0155          | {'f1': 0.840378548895899}  | {'accuracy': 0.7574304889741131} |
| 0.0           | 759.0  | 25806 | 3.0170          | {'f1': 0.840378548895899}  | {'accuracy': 0.7574304889741131} |
| 0.0           | 760.0  | 25840 | 3.0184          | {'f1': 0.840378548895899}  | {'accuracy': 0.7574304889741131} |
| 0.0           | 761.0  | 25874 | 3.0192          | {'f1': 0.840378548895899}  | {'accuracy': 0.7574304889741131} |
| 0.0           | 762.0  | 25908 | 3.1057          | {'f1': 0.8402734617775015} | {'accuracy': 0.7535953978907}    |
| 0.0           | 763.0  | 25942 | 2.6765          | {'f1': 0.8327911515940144} | {'accuracy': 0.7535953978907}    |
| 0.0           | 764.0  | 25976 | 2.7808          | {'f1': 0.8396756082345601} | {'accuracy': 0.7535953978907}    |
| 0.0029        | 765.0  | 26010 | 2.9076          | {'f1': 0.8375540457072268} | {'accuracy': 0.74784276126558}   |
| 0.0029        | 766.0  | 26044 | 2.6470          | {'f1': 0.8363171355498722} | {'accuracy': 0.7545541706615532} |
| 0.0029        | 767.0  | 26078 | 2.6168          | {'f1': 0.8330084470435347} | {'accuracy': 0.7535953978907}    |
| 0.0029        | 768.0  | 26112 | 2.5902          | {'f1': 0.8344283837056505} | {'accuracy': 0.7583892617449665} |
| 0.0029        | 769.0  | 26146 | 2.5932          | {'f1': 0.8364820846905537} | {'accuracy': 0.7593480345158198} |
| 0.0029        | 770.0  | 26180 | 2.6266          | {'f1': 0.8343004513217279} | {'accuracy': 0.7535953978907}    |
| 0.0029        | 771.0  | 26214 | 2.6331          | {'f1': 0.834726688102894}  | {'accuracy': 0.7535953978907}    |
| 0.0029        | 772.0  | 26248 | 2.6463          | {'f1': 0.8371794871794872} | {'accuracy': 0.7564717162032598} |
| 0.0029        | 773.0  | 26282 | 3.1462          | {'f1': 0.8367593712212817} | {'accuracy': 0.7411313518696069} |
| 0.0029        | 774.0  | 26316 | 2.9040          | {'f1': 0.8391089108910891} | {'accuracy': 0.75071907957814}   |
| 0.0029        | 775.0  | 26350 | 3.3436          | {'f1': 0.8363201911589008} | {'accuracy': 0.7372962607861937} |
| 0.0029        | 776.0  | 26384 | 2.7757          | {'f1': 0.8389134554643083} | {'accuracy': 0.7555129434324065} |
| 0.0029        | 777.0  | 26418 | 2.7650          | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0029        | 778.0  | 26452 | 2.7741          | {'f1': 0.8394437420986094} | {'accuracy': 0.7564717162032598} |
| 0.0029        | 779.0  | 26486 | 2.7977          | {'f1': 0.8391167192429022} | {'accuracy': 0.7555129434324065} |
| 0.0003        | 780.0  | 26520 | 2.8005          | {'f1': 0.8391167192429022} | {'accuracy': 0.7555129434324065} |
| 0.0003        | 781.0  | 26554 | 2.6762          | {'f1': 0.8367875647668395} | {'accuracy': 0.7583892617449665} |
| 0.0003        | 782.0  | 26588 | 2.6492          | {'f1': 0.8342105263157895} | {'accuracy': 0.7583892617449665} |
| 0.0003        | 783.0  | 26622 | 2.7796          | {'f1': 0.8380952380952381} | {'accuracy': 0.7555129434324065} |
| 0.0003        | 784.0  | 26656 | 2.8384          | {'f1': 0.8397234443746072} | {'accuracy': 0.7555129434324065} |
| 0.0003        | 785.0  | 26690 | 2.8411          | {'f1': 0.8397234443746072} | {'accuracy': 0.7555129434324065} |
| 0.0003        | 786.0  | 26724 | 2.8711          | {'f1': 0.837238758708043}  | {'accuracy': 0.7535953978907}    |
| 0.0003        | 787.0  | 26758 | 2.8324          | {'f1': 0.8354591836734695} | {'accuracy': 0.7526366251198466} |
| 0.0003        | 788.0  | 26792 | 3.2309          | {'f1': 0.8357487922705313} | {'accuracy': 0.7392138063279002} |
| 0.0003        | 789.0  | 26826 | 3.0963          | {'f1': 0.8378378378378378} | {'accuracy': 0.7468839884947267} |
| 0.0003        | 790.0  | 26860 | 2.8388          | {'f1': 0.8398983481575605} | {'accuracy': 0.7583892617449665} |
| 0.0003        | 791.0  | 26894 | 2.8356          | {'f1': 0.8402291534054743} | {'accuracy': 0.7593480345158198} |
| 0.0003        | 792.0  | 26928 | 2.8395          | {'f1': 0.8402291534054743} | {'accuracy': 0.7593480345158198} |
| 0.0003        | 793.0  | 26962 | 2.8449          | {'f1': 0.8398983481575605} | {'accuracy': 0.7583892617449665} |
| 0.0003        | 794.0  | 26996 | 2.8514          | {'f1': 0.8413705583756345} | {'accuracy': 0.7603068072866731} |
| 0.0005        | 795.0  | 27030 | 2.8518          | {'f1': 0.8406349206349206} | {'accuracy': 0.7593480345158198} |
| 0.0005        | 796.0  | 27064 | 2.8494          | {'f1': 0.8404322949777496} | {'accuracy': 0.7593480345158198} |
| 0.0005        | 797.0  | 27098 | 2.8529          | {'f1': 0.8411689961880559} | {'accuracy': 0.7603068072866731} |
| 0.0005        | 798.0  | 27132 | 2.8607          | {'f1': 0.8413705583756345} | {'accuracy': 0.7603068072866731} |
| 0.0005        | 799.0  | 27166 | 2.8993          | {'f1': 0.8405063291139242} | {'accuracy': 0.7583892617449665} |
| 0.0005        | 800.0  | 27200 | 2.9058          | {'f1': 0.8407079646017699} | {'accuracy': 0.7583892617449665} |
| 0.0005        | 801.0  | 27234 | 2.9114          | {'f1': 0.8407079646017699} | {'accuracy': 0.7583892617449665} |
| 0.0005        | 802.0  | 27268 | 2.9156          | {'f1': 0.8401768793430195} | {'accuracy': 0.7574304889741131} |
| 0.0005        | 803.0  | 27302 | 2.9184          | {'f1': 0.8401768793430195} | {'accuracy': 0.7574304889741131} |
| 0.0005        | 804.0  | 27336 | 2.7580          | {'f1': 0.833112582781457}  | {'accuracy': 0.7583892617449665} |
| 0.0005        | 805.0  | 27370 | 2.9621          | {'f1': 0.8415779586725111} | {'accuracy': 0.7574304889741131} |
| 0.0005        | 806.0  | 27404 | 2.8754          | {'f1': 0.8441396508728181} | {'accuracy': 0.7603068072866731} |
| 0.0005        | 807.0  | 27438 | 3.1519          | {'f1': 0.8371810449574727} | {'accuracy': 0.7430488974113135} |
| 0.0005        | 808.0  | 27472 | 3.1315          | {'f1': 0.836275106512477}  | {'accuracy': 0.7420901246404602} |
| 0.0018        | 809.0  | 27506 | 2.7069          | {'f1': 0.8364576599870717} | {'accuracy': 0.7574304889741131} |
| 0.0018        | 810.0  | 27540 | 2.6744          | {'f1': 0.8370273794002607} | {'accuracy': 0.7603068072866731} |
| 0.0018        | 811.0  | 27574 | 2.7519          | {'f1': 0.8385852090032154} | {'accuracy': 0.7593480345158198} |
| 0.0018        | 812.0  | 27608 | 2.6985          | {'f1': 0.837393021724819}  | {'accuracy': 0.763183125599233}  |
| 0.0018        | 813.0  | 27642 | 2.9175          | {'f1': 0.8382630585273756} | {'accuracy': 0.7535953978907}    |
| 0.0018        | 814.0  | 27676 | 2.9293          | {'f1': 0.8372093023255814} | {'accuracy': 0.7516778523489933} |
| 0.0018        | 815.0  | 27710 | 2.8987          | {'f1': 0.8367729831144466} | {'accuracy': 0.7497603068072867} |
| 0.0018        | 816.0  | 27744 | 2.8777          | {'f1': 0.8374136848713121} | {'accuracy': 0.7516778523489933} |
| 0.0018        | 817.0  | 27778 | 2.9923          | {'f1': 0.8349875930521091} | {'accuracy': 0.7449664429530202} |
| 0.0018        | 818.0  | 27812 | 2.8838          | {'f1': 0.8393194706994328} | {'accuracy': 0.7555129434324065} |
| 0.0018        | 819.0  | 27846 | 2.8828          | {'f1': 0.8393194706994328} | {'accuracy': 0.7555129434324065} |
| 0.0018        | 820.0  | 27880 | 2.8843          | {'f1': 0.8393194706994328} | {'accuracy': 0.7555129434324065} |
| 0.0018        | 821.0  | 27914 | 2.8861          | {'f1': 0.8393194706994328} | {'accuracy': 0.7555129434324065} |
| 0.0018        | 822.0  | 27948 | 2.8891          | {'f1': 0.8393194706994328} | {'accuracy': 0.7555129434324065} |
| 0.0018        | 823.0  | 27982 | 2.8908          | {'f1': 0.8393194706994328} | {'accuracy': 0.7555129434324065} |
| 0.0014        | 824.0  | 28016 | 2.7491          | {'f1': 0.8410852713178294} | {'accuracy': 0.7641418983700863} |
| 0.0014        | 825.0  | 28050 | 2.7360          | {'f1': 0.8429967426710098} | {'accuracy': 0.7689357622243528} |
| 0.0014        | 826.0  | 28084 | 2.7455          | {'f1': 0.8426527958387516} | {'accuracy': 0.7679769894534996} |
| 0.0014        | 827.0  | 28118 | 3.2188          | {'f1': 0.8390243902439024} | {'accuracy': 0.7468839884947267} |
| 0.0014        | 828.0  | 28152 | 2.9161          | {'f1': 0.8409805153991201} | {'accuracy': 0.7574304889741131} |
| 0.0014        | 829.0  | 28186 | 2.8024          | {'f1': 0.8427109974424553} | {'accuracy': 0.7641418983700863} |
| 0.0014        | 830.0  | 28220 | 2.8061          | {'f1': 0.8427109974424553} | {'accuracy': 0.7641418983700863} |
| 0.0014        | 831.0  | 28254 | 2.9948          | {'f1': 0.8423676012461059} | {'accuracy': 0.7574304889741131} |
| 0.0014        | 832.0  | 28288 | 2.8699          | {'f1': 0.8430379746835445} | {'accuracy': 0.7622243528283796} |
| 0.0014        | 833.0  | 28322 | 2.8678          | {'f1': 0.8430379746835445} | {'accuracy': 0.7622243528283796} |
| 0.0014        | 834.0  | 28356 | 3.1026          | {'f1': 0.8439803439803439} | {'accuracy': 0.7564717162032598} |
| 0.0014        | 835.0  | 28390 | 3.3516          | {'f1': 0.8371531966224366} | {'accuracy': 0.7411313518696069} |
| 0.0014        | 836.0  | 28424 | 3.1450          | {'f1': 0.8433292533659731} | {'accuracy': 0.7545541706615532} |
| 0.0014        | 837.0  | 28458 | 3.1280          | {'f1': 0.842040565457898}  | {'accuracy': 0.7535953978907}    |
| 0.0014        | 838.0  | 28492 | 2.9122          | {'f1': 0.8435718809373022} | {'accuracy': 0.763183125599233}  |
| 0.0009        | 839.0  | 28526 | 2.8641          | {'f1': 0.8431122448979593} | {'accuracy': 0.7641418983700863} |
| 0.0009        | 840.0  | 28560 | 2.8744          | {'f1': 0.8420382165605096} | {'accuracy': 0.7622243528283796} |
| 0.0009        | 841.0  | 28594 | 2.8800          | {'f1': 0.8420382165605096} | {'accuracy': 0.7622243528283796} |
| 0.0009        | 842.0  | 28628 | 2.8838          | {'f1': 0.841502227880331}  | {'accuracy': 0.7612655800575263} |
| 0.0009        | 843.0  | 28662 | 2.8855          | {'f1': 0.841502227880331}  | {'accuracy': 0.7612655800575263} |
| 0.0009        | 844.0  | 28696 | 2.8870          | {'f1': 0.8422391857506362} | {'accuracy': 0.7622243528283796} |
| 0.0009        | 845.0  | 28730 | 2.9000          | {'f1': 0.8422391857506362} | {'accuracy': 0.7622243528283796} |
| 0.0009        | 846.0  | 28764 | 3.3231          | {'f1': 0.8415300546448088} | {'accuracy': 0.7497603068072867} |
| 0.0009        | 847.0  | 28798 | 2.9730          | {'f1': 0.843236409608091}  | {'accuracy': 0.7622243528283796} |
| 0.0009        | 848.0  | 28832 | 2.9669          | {'f1': 0.8437697659709045} | {'accuracy': 0.763183125599233}  |
| 0.0009        | 849.0  | 28866 | 2.9737          | {'f1': 0.8437697659709045} | {'accuracy': 0.763183125599233}  |
| 0.0009        | 850.0  | 28900 | 2.9732          | {'f1': 0.8437697659709045} | {'accuracy': 0.763183125599233}  |
| 0.0009        | 851.0  | 28934 | 2.9738          | {'f1': 0.8437697659709045} | {'accuracy': 0.763183125599233}  |
| 0.0009        | 852.0  | 28968 | 2.9759          | {'f1': 0.8437697659709045} | {'accuracy': 0.763183125599233}  |
| 0.0002        | 853.0  | 29002 | 2.9783          | {'f1': 0.8437697659709045} | {'accuracy': 0.763183125599233}  |
| 0.0002        | 854.0  | 29036 | 2.9797          | {'f1': 0.8437697659709045} | {'accuracy': 0.763183125599233}  |
| 0.0002        | 855.0  | 29070 | 2.9807          | {'f1': 0.8437697659709045} | {'accuracy': 0.763183125599233}  |
| 0.0002        | 856.0  | 29104 | 2.9821          | {'f1': 0.8437697659709045} | {'accuracy': 0.763183125599233}  |
| 0.0002        | 857.0  | 29138 | 2.9829          | {'f1': 0.8437697659709045} | {'accuracy': 0.763183125599233}  |
| 0.0002        | 858.0  | 29172 | 2.9849          | {'f1': 0.8437697659709045} | {'accuracy': 0.763183125599233}  |
| 0.0002        | 859.0  | 29206 | 2.9873          | {'f1': 0.8437697659709045} | {'accuracy': 0.763183125599233}  |
| 0.0002        | 860.0  | 29240 | 2.9890          | {'f1': 0.8439671509791535} | {'accuracy': 0.763183125599233}  |
| 0.0002        | 861.0  | 29274 | 2.9899          | {'f1': 0.8439671509791535} | {'accuracy': 0.763183125599233}  |
| 0.0002        | 862.0  | 29308 | 2.9899          | {'f1': 0.8437697659709045} | {'accuracy': 0.763183125599233}  |
| 0.0002        | 863.0  | 29342 | 2.9914          | {'f1': 0.8437697659709045} | {'accuracy': 0.763183125599233}  |
| 0.0002        | 864.0  | 29376 | 2.9946          | {'f1': 0.8439671509791535} | {'accuracy': 0.763183125599233}  |
| 0.0002        | 865.0  | 29410 | 2.9973          | {'f1': 0.8446969696969698} | {'accuracy': 0.7641418983700863} |
| 0.0002        | 866.0  | 29444 | 2.8587          | {'f1': 0.8432786885245902} | {'accuracy': 0.7708533077660594} |
| 0.0002        | 867.0  | 29478 | 2.8662          | {'f1': 0.8415516107823802} | {'accuracy': 0.7689357622243528} |
| 0.0011        | 868.0  | 29512 | 3.2207          | {'f1': 0.8417177914110429} | {'accuracy': 0.7526366251198466} |
| 0.0011        | 869.0  | 29546 | 2.7637          | {'f1': 0.8442146089204914} | {'accuracy': 0.7689357622243528} |
| 0.0011        | 870.0  | 29580 | 2.7202          | {'f1': 0.8416230366492147} | {'accuracy': 0.7679769894534996} |
| 0.0011        | 871.0  | 29614 | 2.7220          | {'f1': 0.8416230366492147} | {'accuracy': 0.7679769894534996} |
| 0.0011        | 872.0  | 29648 | 3.0772          | {'f1': 0.8411330049261084} | {'accuracy': 0.7526366251198466} |
| 0.0011        | 873.0  | 29682 | 3.0933          | {'f1': 0.8402948402948403} | {'accuracy': 0.75071907957814}   |
| 0.0011        | 874.0  | 29716 | 3.0004          | {'f1': 0.8413192283758557} | {'accuracy': 0.7555129434324065} |
| 0.0011        | 875.0  | 29750 | 2.7432          | {'f1': 0.8403141361256544} | {'accuracy': 0.7660594439117929} |
| 0.0011        | 876.0  | 29784 | 2.7075          | {'f1': 0.8397350993377483} | {'accuracy': 0.7679769894534996} |
| 0.0011        | 877.0  | 29818 | 2.9783          | {'f1': 0.8419071518193225} | {'accuracy': 0.7583892617449665} |
| 0.0011        | 878.0  | 29852 | 2.8295          | {'f1': 0.8420382165605096} | {'accuracy': 0.7622243528283796} |
| 0.0011        | 879.0  | 29886 | 2.9081          | {'f1': 0.8440251572327044} | {'accuracy': 0.7622243528283796} |
| 0.0011        | 880.0  | 29920 | 3.0216          | {'f1': 0.8425637834474176} | {'accuracy': 0.7574304889741131} |
| 0.0011        | 881.0  | 29954 | 3.0263          | {'f1': 0.842039800995025}  | {'accuracy': 0.7564717162032598} |
| 0.0011        | 882.0  | 29988 | 3.0273          | {'f1': 0.842039800995025}  | {'accuracy': 0.7564717162032598} |
| 0.0028        | 883.0  | 30022 | 3.0274          | {'f1': 0.8425637834474176} | {'accuracy': 0.7574304889741131} |
| 0.0028        | 884.0  | 30056 | 3.0276          | {'f1': 0.8425637834474176} | {'accuracy': 0.7574304889741131} |
| 0.0028        | 885.0  | 30090 | 3.0270          | {'f1': 0.8425637834474176} | {'accuracy': 0.7574304889741131} |
| 0.0028        | 886.0  | 30124 | 2.7614          | {'f1': 0.8427184466019418} | {'accuracy': 0.7670182166826462} |
| 0.0028        | 887.0  | 30158 | 2.7108          | {'f1': 0.8393919365499009} | {'accuracy': 0.7670182166826462} |
| 0.0028        | 888.0  | 30192 | 2.8418          | {'f1': 0.8418399495904222} | {'accuracy': 0.7593480345158198} |
| 0.0028        | 889.0  | 30226 | 2.8564          | {'f1': 0.8401253918495297} | {'accuracy': 0.7555129434324065} |
| 0.0028        | 890.0  | 30260 | 2.8748          | {'f1': 0.8401253918495297} | {'accuracy': 0.7555129434324065} |
| 0.0028        | 891.0  | 30294 | 2.8871          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0028        | 892.0  | 30328 | 2.8915          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0028        | 893.0  | 30362 | 2.8922          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0028        | 894.0  | 30396 | 2.8906          | {'f1': 0.8395989974937343} | {'accuracy': 0.7545541706615532} |
| 0.0028        | 895.0  | 30430 | 2.8917          | {'f1': 0.8395989974937343} | {'accuracy': 0.7545541706615532} |
| 0.0028        | 896.0  | 30464 | 2.9596          | {'f1': 0.8392302917442583} | {'accuracy': 0.7516778523489933} |
| 0.0028        | 897.0  | 30498 | 2.7362          | {'f1': 0.8395860284605433} | {'accuracy': 0.7622243528283796} |
| 0.0015        | 898.0  | 30532 | 2.7578          | {'f1': 0.838709677419355}  | {'accuracy': 0.7603068072866731} |
| 0.0015        | 899.0  | 30566 | 2.9297          | {'f1': 0.8405063291139242} | {'accuracy': 0.7583892617449665} |
| 0.0015        | 900.0  | 30600 | 2.9516          | {'f1': 0.8370044052863437} | {'accuracy': 0.7516778523489933} |
| 0.0015        | 901.0  | 30634 | 2.9536          | {'f1': 0.8370044052863437} | {'accuracy': 0.7516778523489933} |
| 0.0015        | 902.0  | 30668 | 2.9556          | {'f1': 0.8370044052863437} | {'accuracy': 0.7516778523489933} |
| 0.0015        | 903.0  | 30702 | 2.9577          | {'f1': 0.8370044052863437} | {'accuracy': 0.7516778523489933} |
| 0.0015        | 904.0  | 30736 | 2.9551          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0015        | 905.0  | 30770 | 2.9679          | {'f1': 0.8370044052863437} | {'accuracy': 0.7516778523489933} |
| 0.0015        | 906.0  | 30804 | 2.9534          | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0015        | 907.0  | 30838 | 2.8899          | {'f1': 0.8385449904275686} | {'accuracy': 0.7574304889741131} |
| 0.0015        | 908.0  | 30872 | 2.9045          | {'f1': 0.8369426751592357} | {'accuracy': 0.7545541706615532} |
| 0.0015        | 909.0  | 30906 | 2.9126          | {'f1': 0.8371501272264632} | {'accuracy': 0.7545541706615532} |
| 0.0015        | 910.0  | 30940 | 2.9177          | {'f1': 0.8371501272264632} | {'accuracy': 0.7545541706615532} |
| 0.0015        | 911.0  | 30974 | 2.9081          | {'f1': 0.8367346938775511} | {'accuracy': 0.7545541706615532} |
| 0.0           | 912.0  | 31008 | 2.9141          | {'f1': 0.8367346938775511} | {'accuracy': 0.7545541706615532} |
| 0.0           | 913.0  | 31042 | 2.9189          | {'f1': 0.8367346938775511} | {'accuracy': 0.7545541706615532} |
| 0.0           | 914.0  | 31076 | 2.9624          | {'f1': 0.8401015228426397} | {'accuracy': 0.7583892617449665} |
| 0.0           | 915.0  | 31110 | 2.9685          | {'f1': 0.8401015228426397} | {'accuracy': 0.7583892617449665} |
| 0.0           | 916.0  | 31144 | 2.9741          | {'f1': 0.8403041825095058} | {'accuracy': 0.7583892617449665} |
| 0.0           | 917.0  | 31178 | 3.4838          | {'f1': 0.8393285371702637} | {'accuracy': 0.7430488974113135} |
| 0.0           | 918.0  | 31212 | 3.3321          | {'f1': 0.8401937046004843} | {'accuracy': 0.7468839884947267} |
| 0.0           | 919.0  | 31246 | 2.8801          | {'f1': 0.8407643312101911} | {'accuracy': 0.7603068072866731} |
| 0.0           | 920.0  | 31280 | 2.8712          | {'f1': 0.839821314613912}  | {'accuracy': 0.7593480345158198} |
| 0.0           | 921.0  | 31314 | 2.8728          | {'f1': 0.839821314613912}  | {'accuracy': 0.7593480345158198} |
| 0.0           | 922.0  | 31348 | 3.3941          | {'f1': 0.8387484957882071} | {'accuracy': 0.7430488974113135} |
| 0.0           | 923.0  | 31382 | 2.8636          | {'f1': 0.8399746995572422} | {'accuracy': 0.7574304889741131} |
| 0.0           | 924.0  | 31416 | 2.9903          | {'f1': 0.838909541511772}  | {'accuracy': 0.75071907957814}   |
| 0.0           | 925.0  | 31450 | 3.1526          | {'f1': 0.8437118437118436} | {'accuracy': 0.7545541706615532} |
| 0.0           | 926.0  | 31484 | 2.8688          | {'f1': 0.8398983481575605} | {'accuracy': 0.7583892617449665} |
| 0.0011        | 927.0  | 31518 | 2.8078          | {'f1': 0.8382541720154044} | {'accuracy': 0.7583892617449665} |
| 0.0011        | 928.0  | 31552 | 2.9345          | {'f1': 0.8371212121212122} | {'accuracy': 0.7526366251198466} |
| 0.0011        | 929.0  | 31586 | 2.9553          | {'f1': 0.8373266078184111} | {'accuracy': 0.7526366251198466} |
| 0.0011        | 930.0  | 31620 | 2.9571          | {'f1': 0.8380592312539382} | {'accuracy': 0.7535953978907}    |
| 0.0011        | 931.0  | 31654 | 2.9587          | {'f1': 0.8380592312539382} | {'accuracy': 0.7535953978907}    |
| 0.0011        | 932.0  | 31688 | 3.4801          | {'f1': 0.8402652200120554} | {'accuracy': 0.7459252157238735} |
| 0.0011        | 933.0  | 31722 | 3.0138          | {'f1': 0.8383005707038681} | {'accuracy': 0.7555129434324065} |
| 0.0011        | 934.0  | 31756 | 2.9768          | {'f1': 0.8378033205619413} | {'accuracy': 0.7564717162032598} |
| 0.0011        | 935.0  | 31790 | 2.8962          | {'f1': 0.8374193548387098} | {'accuracy': 0.7583892617449665} |
| 0.0011        | 936.0  | 31824 | 2.9182          | {'f1': 0.8393316195372751} | {'accuracy': 0.7603068072866731} |
| 0.0011        | 937.0  | 31858 | 2.9293          | {'f1': 0.8389993585631816} | {'accuracy': 0.7593480345158198} |
| 0.0011        | 938.0  | 31892 | 2.9323          | {'f1': 0.8389993585631816} | {'accuracy': 0.7593480345158198} |
| 0.0011        | 939.0  | 31926 | 2.9567          | {'f1': 0.8381317978246962} | {'accuracy': 0.7574304889741131} |
| 0.0011        | 940.0  | 31960 | 3.4603          | {'f1': 0.8407026044821321} | {'accuracy': 0.74784276126558}   |
| 0.0011        | 941.0  | 31994 | 3.4616          | {'f1': 0.8407026044821321} | {'accuracy': 0.74784276126558}   |
| 0.0002        | 942.0  | 32028 | 3.0111          | {'f1': 0.8389993585631816} | {'accuracy': 0.7593480345158198} |
| 0.0002        | 943.0  | 32062 | 3.0014          | {'f1': 0.839871382636656}  | {'accuracy': 0.7612655800575263} |
| 0.0002        | 944.0  | 32096 | 3.0133          | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0002        | 945.0  | 32130 | 3.0148          | {'f1': 0.8382541720154044} | {'accuracy': 0.7583892617449665} |
| 0.0002        | 946.0  | 32164 | 3.0166          | {'f1': 0.8382541720154044} | {'accuracy': 0.7583892617449665} |
| 0.0002        | 947.0  | 32198 | 3.0195          | {'f1': 0.8382541720154044} | {'accuracy': 0.7583892617449665} |
| 0.0002        | 948.0  | 32232 | 3.0212          | {'f1': 0.8382541720154044} | {'accuracy': 0.7583892617449665} |
| 0.0002        | 949.0  | 32266 | 3.0254          | {'f1': 0.8397435897435898} | {'accuracy': 0.7603068072866731} |
| 0.0002        | 950.0  | 32300 | 3.0303          | {'f1': 0.8397435897435898} | {'accuracy': 0.7603068072866731} |
| 0.0002        | 951.0  | 32334 | 3.0326          | {'f1': 0.8397435897435898} | {'accuracy': 0.7603068072866731} |
| 0.0002        | 952.0  | 32368 | 3.0352          | {'f1': 0.8397435897435898} | {'accuracy': 0.7603068072866731} |
| 0.0002        | 953.0  | 32402 | 3.0372          | {'f1': 0.8397435897435898} | {'accuracy': 0.7603068072866731} |
| 0.0002        | 954.0  | 32436 | 3.0389          | {'f1': 0.8397435897435898} | {'accuracy': 0.7603068072866731} |
| 0.0002        | 955.0  | 32470 | 3.0450          | {'f1': 0.8397435897435898} | {'accuracy': 0.7603068072866731} |
| 0.0           | 956.0  | 32504 | 3.0479          | {'f1': 0.8397435897435898} | {'accuracy': 0.7603068072866731} |
| 0.0           | 957.0  | 32538 | 3.0549          | {'f1': 0.8381317978246962} | {'accuracy': 0.7574304889741131} |
| 0.0           | 958.0  | 32572 | 3.0569          | {'f1': 0.8381317978246962} | {'accuracy': 0.7574304889741131} |
| 0.0           | 959.0  | 32606 | 3.0581          | {'f1': 0.8381317978246962} | {'accuracy': 0.7574304889741131} |
| 0.0           | 960.0  | 32640 | 3.0593          | {'f1': 0.8375959079283888} | {'accuracy': 0.7564717162032598} |
| 0.0           | 961.0  | 32674 | 3.0681          | {'f1': 0.8372686662412252} | {'accuracy': 0.7555129434324065} |
| 0.0           | 962.0  | 32708 | 3.0729          | {'f1': 0.8380102040816327} | {'accuracy': 0.7564717162032598} |
| 0.0           | 963.0  | 32742 | 3.0794          | {'f1': 0.8374760994263862} | {'accuracy': 0.7555129434324065} |
| 0.0           | 964.0  | 32776 | 3.0859          | {'f1': 0.8369426751592357} | {'accuracy': 0.7545541706615532} |
| 0.0           | 965.0  | 32810 | 3.0894          | {'f1': 0.8369426751592357} | {'accuracy': 0.7545541706615532} |
| 0.0           | 966.0  | 32844 | 3.0944          | {'f1': 0.8364099299809039} | {'accuracy': 0.7535953978907}    |
| 0.0           | 967.0  | 32878 | 3.0978          | {'f1': 0.8364099299809039} | {'accuracy': 0.7535953978907}    |
| 0.0           | 968.0  | 32912 | 3.1684          | {'f1': 0.8367088607594937} | {'accuracy': 0.7526366251198466} |
| 0.0           | 969.0  | 32946 | 3.2303          | {'f1': 0.8397234443746072} | {'accuracy': 0.7555129434324065} |
| 0.0           | 970.0  | 32980 | 3.2326          | {'f1': 0.8397234443746072} | {'accuracy': 0.7555129434324065} |
| 0.0           | 971.0  | 33014 | 3.2334          | {'f1': 0.8397234443746072} | {'accuracy': 0.7555129434324065} |
| 0.0           | 972.0  | 33048 | 3.2207          | {'f1': 0.8387909319899244} | {'accuracy': 0.7545541706615532} |
| 0.0           | 973.0  | 33082 | 3.2192          | {'f1': 0.8387909319899244} | {'accuracy': 0.7545541706615532} |
| 0.0           | 974.0  | 33116 | 3.2198          | {'f1': 0.8387909319899244} | {'accuracy': 0.7545541706615532} |
| 0.0           | 975.0  | 33150 | 3.2214          | {'f1': 0.8387909319899244} | {'accuracy': 0.7545541706615532} |
| 0.0           | 976.0  | 33184 | 3.2224          | {'f1': 0.8387909319899244} | {'accuracy': 0.7545541706615532} |
| 0.0           | 977.0  | 33218 | 3.2231          | {'f1': 0.8387909319899244} | {'accuracy': 0.7545541706615532} |
| 0.0           | 978.0  | 33252 | 3.2246          | {'f1': 0.8387909319899244} | {'accuracy': 0.7545541706615532} |
| 0.0           | 979.0  | 33286 | 2.9749          | {'f1': 0.8339869281045752} | {'accuracy': 0.7564717162032598} |
| 0.0           | 980.0  | 33320 | 3.2905          | {'f1': 0.8409232688708672} | {'accuracy': 0.7555129434324065} |
| 0.0           | 981.0  | 33354 | 3.0802          | {'f1': 0.8366688185926405} | {'accuracy': 0.7574304889741131} |
| 0.0           | 982.0  | 33388 | 3.2283          | {'f1': 0.8383838383838385} | {'accuracy': 0.7545541706615532} |
| 0.0           | 983.0  | 33422 | 3.2954          | {'f1': 0.84125}            | {'accuracy': 0.7564717162032598} |
| 0.0           | 984.0  | 33456 | 3.3092          | {'f1': 0.8407245471580262} | {'accuracy': 0.7555129434324065} |
| 0.0           | 985.0  | 33490 | 3.3124          | {'f1': 0.8407245471580262} | {'accuracy': 0.7555129434324065} |
| 0.0002        | 986.0  | 33524 | 3.3133          | {'f1': 0.8407245471580262} | {'accuracy': 0.7555129434324065} |
| 0.0002        | 987.0  | 33558 | 3.3138          | {'f1': 0.8407245471580262} | {'accuracy': 0.7555129434324065} |
| 0.0002        | 988.0  | 33592 | 3.1806          | {'f1': 0.8356687898089172} | {'accuracy': 0.7526366251198466} |
| 0.0002        | 989.0  | 33626 | 3.0940          | {'f1': 0.8359173126614987} | {'accuracy': 0.7564717162032598} |
| 0.0002        | 990.0  | 33660 | 3.3259          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0002        | 991.0  | 33694 | 3.4057          | {'f1': 0.8362282878411912} | {'accuracy': 0.7468839884947267} |
| 0.0002        | 992.0  | 33728 | 3.3716          | {'f1': 0.8360248447204969} | {'accuracy': 0.7468839884947267} |
| 0.0002        | 993.0  | 33762 | 3.3704          | {'f1': 0.8360248447204969} | {'accuracy': 0.7468839884947267} |
| 0.0002        | 994.0  | 33796 | 3.3698          | {'f1': 0.8360248447204969} | {'accuracy': 0.7468839884947267} |
| 0.0002        | 995.0  | 33830 | 3.3698          | {'f1': 0.8360248447204969} | {'accuracy': 0.7468839884947267} |
| 0.0002        | 996.0  | 33864 | 3.3700          | {'f1': 0.8360248447204969} | {'accuracy': 0.7468839884947267} |
| 0.0002        | 997.0  | 33898 | 3.3723          | {'f1': 0.8360248447204969} | {'accuracy': 0.7468839884947267} |
| 0.0002        | 998.0  | 33932 | 3.3734          | {'f1': 0.8360248447204969} | {'accuracy': 0.7468839884947267} |
| 0.0002        | 999.0  | 33966 | 3.3725          | {'f1': 0.8360248447204969} | {'accuracy': 0.7468839884947267} |
| 0.0002        | 1000.0 | 34000 | 3.3716          | {'f1': 0.8360248447204969} | {'accuracy': 0.7468839884947267} |
| 0.0002        | 1001.0 | 34034 | 3.2074          | {'f1': 0.8397720075997466} | {'accuracy': 0.7574304889741131} |
| 0.0002        | 1002.0 | 34068 | 3.5080          | {'f1': 0.8362068965517242} | {'accuracy': 0.7449664429530202} |
| 0.0002        | 1003.0 | 34102 | 3.9168          | {'f1': 0.835928143712575}  | {'accuracy': 0.7372962607861937} |
| 0.0002        | 1004.0 | 34136 | 3.0892          | {'f1': 0.8336620644312952} | {'accuracy': 0.7574304889741131} |
| 0.0002        | 1005.0 | 34170 | 3.0851          | {'f1': 0.837730870712401}  | {'accuracy': 0.7641418983700863} |
| 0.0002        | 1006.0 | 34204 | 3.0825          | {'f1': 0.837730870712401}  | {'accuracy': 0.7641418983700863} |
| 0.0002        | 1007.0 | 34238 | 3.1966          | {'f1': 0.8356687898089172} | {'accuracy': 0.7526366251198466} |
| 0.0002        | 1008.0 | 34272 | 3.3321          | {'f1': 0.8373831775700934} | {'accuracy': 0.7497603068072867} |
| 0.0002        | 1009.0 | 34306 | 3.0045          | {'f1': 0.8387942332896462} | {'accuracy': 0.7641418983700863} |
| 0.0002        | 1010.0 | 34340 | 3.0188          | {'f1': 0.8392156862745098} | {'accuracy': 0.7641418983700863} |
| 0.0002        | 1011.0 | 34374 | 3.0502          | {'f1': 0.8416938110749186} | {'accuracy': 0.7670182166826462} |
| 0.0002        | 1012.0 | 34408 | 3.0786          | {'f1': 0.8382923673997412} | {'accuracy': 0.7603068072866731} |
| 0.0002        | 1013.0 | 34442 | 3.0865          | {'f1': 0.8385012919896642} | {'accuracy': 0.7603068072866731} |
| 0.0002        | 1014.0 | 34476 | 3.3899          | {'f1': 0.8369497830130194} | {'accuracy': 0.74784276126558}   |
| 0.0035        | 1015.0 | 34510 | 3.0160          | {'f1': 0.8393782383419689} | {'accuracy': 0.7622243528283796} |
| 0.0035        | 1016.0 | 34544 | 3.0109          | {'f1': 0.8391699092088196} | {'accuracy': 0.7622243528283796} |
| 0.0035        | 1017.0 | 34578 | 3.0121          | {'f1': 0.8391699092088196} | {'accuracy': 0.7622243528283796} |
| 0.0035        | 1018.0 | 34612 | 3.0183          | {'f1': 0.8393782383419689} | {'accuracy': 0.7622243528283796} |
| 0.0035        | 1019.0 | 34646 | 3.0028          | {'f1': 0.8395061728395061} | {'accuracy': 0.763183125599233}  |
| 0.0035        | 1020.0 | 34680 | 3.0492          | {'f1': 0.8380829015544042} | {'accuracy': 0.7603068072866731} |
| 0.0035        | 1021.0 | 34714 | 3.0977          | {'f1': 0.8389993585631816} | {'accuracy': 0.7593480345158198} |
| 0.0035        | 1022.0 | 34748 | 3.0795          | {'f1': 0.8384615384615385} | {'accuracy': 0.7583892617449665} |
| 0.0035        | 1023.0 | 34782 | 3.0618          | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0035        | 1024.0 | 34816 | 3.0620          | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0035        | 1025.0 | 34850 | 3.0627          | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0035        | 1026.0 | 34884 | 3.0639          | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0035        | 1027.0 | 34918 | 3.0649          | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0035        | 1028.0 | 34952 | 3.0655          | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0035        | 1029.0 | 34986 | 3.0662          | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0005        | 1030.0 | 35020 | 3.0774          | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0005        | 1031.0 | 35054 | 3.0823          | {'f1': 0.8382541720154044} | {'accuracy': 0.7583892617449665} |
| 0.0005        | 1032.0 | 35088 | 3.0838          | {'f1': 0.8377164849262349} | {'accuracy': 0.7574304889741131} |
| 0.0005        | 1033.0 | 35122 | 3.0843          | {'f1': 0.8377164849262349} | {'accuracy': 0.7574304889741131} |
| 0.0005        | 1034.0 | 35156 | 3.0851          | {'f1': 0.8377164849262349} | {'accuracy': 0.7574304889741131} |
| 0.0005        | 1035.0 | 35190 | 2.8143          | {'f1': 0.8436460412508316} | {'accuracy': 0.7746883988494727} |
| 0.0005        | 1036.0 | 35224 | 3.0323          | {'f1': 0.8405612244897959} | {'accuracy': 0.7603068072866731} |
| 0.0005        | 1037.0 | 35258 | 3.0444          | {'f1': 0.8407643312101911} | {'accuracy': 0.7603068072866731} |
| 0.0005        | 1038.0 | 35292 | 3.0491          | {'f1': 0.841502227880331}  | {'accuracy': 0.7612655800575263} |
| 0.0005        | 1039.0 | 35326 | 3.0463          | {'f1': 0.8407643312101911} | {'accuracy': 0.7603068072866731} |
| 0.0005        | 1040.0 | 35360 | 3.0357          | {'f1': 0.8405612244897959} | {'accuracy': 0.7603068072866731} |
| 0.0005        | 1041.0 | 35394 | 3.0096          | {'f1': 0.8385852090032154} | {'accuracy': 0.7593480345158198} |
| 0.0005        | 1042.0 | 35428 | 3.0116          | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0005        | 1043.0 | 35462 | 3.0128          | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0005        | 1044.0 | 35496 | 3.0931          | {'f1': 0.8390367553865652} | {'accuracy': 0.7564717162032598} |
| 0.001         | 1045.0 | 35530 | 3.3652          | {'f1': 0.838749233599019}  | {'accuracy': 0.74784276126558}   |
| 0.001         | 1046.0 | 35564 | 3.3300          | {'f1': 0.837954405422058}  | {'accuracy': 0.74784276126558}   |
| 0.001         | 1047.0 | 35598 | 3.3274          | {'f1': 0.8377544725478101} | {'accuracy': 0.74784276126558}   |
| 0.001         | 1048.0 | 35632 | 3.2568          | {'f1': 0.8404717566728741} | {'accuracy': 0.7535953978907}    |
| 0.001         | 1049.0 | 35666 | 3.2510          | {'f1': 0.8409937888198759} | {'accuracy': 0.7545541706615532} |
| 0.001         | 1050.0 | 35700 | 3.2511          | {'f1': 0.8409937888198759} | {'accuracy': 0.7545541706615532} |
| 0.001         | 1051.0 | 35734 | 3.2509          | {'f1': 0.8409937888198759} | {'accuracy': 0.7545541706615532} |
| 0.001         | 1052.0 | 35768 | 3.2512          | {'f1': 0.8409937888198759} | {'accuracy': 0.7545541706615532} |
| 0.001         | 1053.0 | 35802 | 3.2516          | {'f1': 0.8409937888198759} | {'accuracy': 0.7545541706615532} |
| 0.001         | 1054.0 | 35836 | 3.2526          | {'f1': 0.8409937888198759} | {'accuracy': 0.7545541706615532} |
| 0.001         | 1055.0 | 35870 | 3.2527          | {'f1': 0.8409937888198759} | {'accuracy': 0.7545541706615532} |
| 0.001         | 1056.0 | 35904 | 3.2526          | {'f1': 0.8415164698570541} | {'accuracy': 0.7555129434324065} |
| 0.001         | 1057.0 | 35938 | 3.2494          | {'f1': 0.8407960199004975} | {'accuracy': 0.7545541706615532} |
| 0.001         | 1058.0 | 35972 | 3.2428          | {'f1': 0.8405977584059775} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1059.0 | 36006 | 3.2393          | {'f1': 0.8411214953271028} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1060.0 | 36040 | 3.2392          | {'f1': 0.8411214953271028} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1061.0 | 36074 | 3.2396          | {'f1': 0.8411214953271028} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1062.0 | 36108 | 3.1980          | {'f1': 0.8379396984924623} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1063.0 | 36142 | 3.1939          | {'f1': 0.8375314861460957} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1064.0 | 36176 | 3.1937          | {'f1': 0.8375314861460957} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1065.0 | 36210 | 3.1932          | {'f1': 0.8380592312539382} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1066.0 | 36244 | 3.1905          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1067.0 | 36278 | 3.1906          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1068.0 | 36312 | 3.1909          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1069.0 | 36346 | 3.1910          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1070.0 | 36380 | 3.1941          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1071.0 | 36414 | 3.1951          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1072.0 | 36448 | 3.1958          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1073.0 | 36482 | 3.1964          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1074.0 | 36516 | 3.1977          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1075.0 | 36550 | 3.2002          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1076.0 | 36584 | 3.2008          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1077.0 | 36618 | 2.8517          | {'f1': 0.8384512683578104} | {'accuracy': 0.7679769894534996} |
| 0.0           | 1078.0 | 36652 | 3.3185          | {'f1': 0.8424279583077867} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1079.0 | 36686 | 3.0491          | {'f1': 0.8397720075997466} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1080.0 | 36720 | 3.0037          | {'f1': 0.8433121019108281} | {'accuracy': 0.7641418983700863} |
| 0.0           | 1081.0 | 36754 | 3.0040          | {'f1': 0.8433121019108281} | {'accuracy': 0.7641418983700863} |
| 0.0           | 1082.0 | 36788 | 3.0057          | {'f1': 0.8433121019108281} | {'accuracy': 0.7641418983700863} |
| 0.0           | 1083.0 | 36822 | 3.0094          | {'f1': 0.8422391857506362} | {'accuracy': 0.7622243528283796} |
| 0.0           | 1084.0 | 36856 | 3.0202          | {'f1': 0.8424396442185516} | {'accuracy': 0.7622243528283796} |
| 0.0           | 1085.0 | 36890 | 3.0208          | {'f1': 0.8424396442185516} | {'accuracy': 0.7622243528283796} |
| 0.0           | 1086.0 | 36924 | 3.0250          | {'f1': 0.8419047619047619} | {'accuracy': 0.7612655800575263} |
| 0.0           | 1087.0 | 36958 | 3.5543          | {'f1': 0.8391777509068924} | {'accuracy': 0.7449664429530202} |
| 0.0           | 1088.0 | 36992 | 3.6408          | {'f1': 0.8392534617700181} | {'accuracy': 0.7440076701821668} |
| 0.0014        | 1089.0 | 37026 | 3.3823          | {'f1': 0.8382716049382717} | {'accuracy': 0.7488015340364333} |
| 0.0014        | 1090.0 | 37060 | 3.0723          | {'f1': 0.8378378378378379} | {'accuracy': 0.7583892617449665} |
| 0.0014        | 1091.0 | 37094 | 3.1840          | {'f1': 0.8414403032217308} | {'accuracy': 0.7593480345158198} |
| 0.0014        | 1092.0 | 37128 | 3.1862          | {'f1': 0.8414403032217308} | {'accuracy': 0.7593480345158198} |
| 0.0014        | 1093.0 | 37162 | 3.1828          | {'f1': 0.8407079646017699} | {'accuracy': 0.7583892617449665} |
| 0.0014        | 1094.0 | 37196 | 3.1838          | {'f1': 0.8407079646017699} | {'accuracy': 0.7583892617449665} |
| 0.0014        | 1095.0 | 37230 | 3.1897          | {'f1': 0.8407079646017699} | {'accuracy': 0.7583892617449665} |
| 0.0014        | 1096.0 | 37264 | 3.2495          | {'f1': 0.8419071518193225} | {'accuracy': 0.7583892617449665} |
| 0.0014        | 1097.0 | 37298 | 3.2523          | {'f1': 0.8419071518193225} | {'accuracy': 0.7583892617449665} |
| 0.0014        | 1098.0 | 37332 | 3.2532          | {'f1': 0.8419071518193225} | {'accuracy': 0.7583892617449665} |
| 0.0014        | 1099.0 | 37366 | 2.9331          | {'f1': 0.8345323741007195} | {'accuracy': 0.7574304889741131} |
| 0.0014        | 1100.0 | 37400 | 2.9004          | {'f1': 0.835294117647059}  | {'accuracy': 0.7583892617449665} |
| 0.0014        | 1101.0 | 37434 | 3.2158          | {'f1': 0.8400746733042936} | {'accuracy': 0.7535953978907}    |
| 0.0014        | 1102.0 | 37468 | 3.2373          | {'f1': 0.8387096774193548} | {'accuracy': 0.75071907957814}   |
| 0.0015        | 1103.0 | 37502 | 3.2362          | {'f1': 0.8387096774193548} | {'accuracy': 0.75071907957814}   |
| 0.0015        | 1104.0 | 37536 | 3.1432          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0015        | 1105.0 | 37570 | 3.1413          | {'f1': 0.8384663733500944} | {'accuracy': 0.7535953978907}    |
| 0.0015        | 1106.0 | 37604 | 3.1483          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0015        | 1107.0 | 37638 | 3.1493          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0015        | 1108.0 | 37672 | 3.1466          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0015        | 1109.0 | 37706 | 3.1439          | {'f1': 0.8384663733500944} | {'accuracy': 0.7535953978907}    |
| 0.0015        | 1110.0 | 37740 | 3.1489          | {'f1': 0.8384663733500944} | {'accuracy': 0.7535953978907}    |
| 0.0015        | 1111.0 | 37774 | 3.1559          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0015        | 1112.0 | 37808 | 3.2079          | {'f1': 0.8394753279200501} | {'accuracy': 0.7535953978907}    |
| 0.0015        | 1113.0 | 37842 | 3.2164          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0015        | 1114.0 | 37876 | 3.2097          | {'f1': 0.8394753279200501} | {'accuracy': 0.7535953978907}    |
| 0.0015        | 1115.0 | 37910 | 3.1312          | {'f1': 0.8369152970922884} | {'accuracy': 0.7526366251198466} |
| 0.0015        | 1116.0 | 37944 | 3.1161          | {'f1': 0.8361796331435801} | {'accuracy': 0.7516778523489933} |
| 0.0015        | 1117.0 | 37978 | 3.1189          | {'f1': 0.8361796331435801} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1118.0 | 38012 | 3.1477          | {'f1': 0.8369152970922884} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1119.0 | 38046 | 3.1505          | {'f1': 0.8369152970922884} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1120.0 | 38080 | 3.1519          | {'f1': 0.8369152970922884} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1121.0 | 38114 | 3.1540          | {'f1': 0.8369152970922884} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1122.0 | 38148 | 3.1563          | {'f1': 0.837650031585597}  | {'accuracy': 0.7535953978907}    |
| 0.0           | 1123.0 | 38182 | 3.1566          | {'f1': 0.837650031585597}  | {'accuracy': 0.7535953978907}    |
| 0.0           | 1124.0 | 38216 | 3.0363          | {'f1': 0.8349514563106797} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1125.0 | 38250 | 3.1563          | {'f1': 0.8357641090678504} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1126.0 | 38284 | 3.2192          | {'f1': 0.840251572327044}  | {'accuracy': 0.7564717162032598} |
| 0.0           | 1127.0 | 38318 | 3.2219          | {'f1': 0.840251572327044}  | {'accuracy': 0.7564717162032598} |
| 0.0           | 1128.0 | 38352 | 3.2218          | {'f1': 0.840251572327044}  | {'accuracy': 0.7564717162032598} |
| 0.0           | 1129.0 | 38386 | 3.2225          | {'f1': 0.840251572327044}  | {'accuracy': 0.7564717162032598} |
| 0.0           | 1130.0 | 38420 | 3.2176          | {'f1': 0.8387909319899244} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1131.0 | 38454 | 3.2204          | {'f1': 0.8395217117684078} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1132.0 | 38488 | 3.2214          | {'f1': 0.8395217117684078} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1133.0 | 38522 | 3.2216          | {'f1': 0.8387909319899244} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1134.0 | 38556 | 3.2217          | {'f1': 0.8387909319899244} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1135.0 | 38590 | 3.2225          | {'f1': 0.8387909319899244} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1136.0 | 38624 | 3.2210          | {'f1': 0.8380592312539382} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1137.0 | 38658 | 3.2216          | {'f1': 0.8380592312539382} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1138.0 | 38692 | 3.2232          | {'f1': 0.8380592312539382} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1139.0 | 38726 | 3.1040          | {'f1': 0.8395378690629013} | {'accuracy': 0.7603068072866731} |
| 0.0           | 1140.0 | 38760 | 3.1561          | {'f1': 0.8404322949777496} | {'accuracy': 0.7593480345158198} |
| 0.0           | 1141.0 | 38794 | 3.1639          | {'f1': 0.8404322949777496} | {'accuracy': 0.7593480345158198} |
| 0.0           | 1142.0 | 38828 | 3.1654          | {'f1': 0.8404322949777496} | {'accuracy': 0.7593480345158198} |
| 0.0           | 1143.0 | 38862 | 3.1672          | {'f1': 0.8404322949777496} | {'accuracy': 0.7593480345158198} |
| 0.0           | 1144.0 | 38896 | 3.1690          | {'f1': 0.8411689961880559} | {'accuracy': 0.7603068072866731} |
| 0.0           | 1145.0 | 38930 | 3.1702          | {'f1': 0.8406349206349206} | {'accuracy': 0.7593480345158198} |
| 0.0           | 1146.0 | 38964 | 3.2433          | {'f1': 0.8384663733500944} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1147.0 | 38998 | 3.1837          | {'f1': 0.8375634517766497} | {'accuracy': 0.7545541706615532} |
| 0.0006        | 1148.0 | 39032 | 3.9121          | {'f1': 0.8363201911589008} | {'accuracy': 0.7372962607861937} |
| 0.0006        | 1149.0 | 39066 | 3.1272          | {'f1': 0.8369070825211176} | {'accuracy': 0.7593480345158198} |
| 0.0006        | 1150.0 | 39100 | 3.0978          | {'f1': 0.8385826771653543} | {'accuracy': 0.7641418983700863} |
| 0.0006        | 1151.0 | 39134 | 3.1093          | {'f1': 0.8384565075212557} | {'accuracy': 0.763183125599233}  |
| 0.0006        | 1152.0 | 39168 | 3.2410          | {'f1': 0.8367473618870268} | {'accuracy': 0.74784276126558}   |
| 0.0006        | 1153.0 | 39202 | 3.2573          | {'f1': 0.8357098574085554} | {'accuracy': 0.7459252157238735} |
| 0.0006        | 1154.0 | 39236 | 3.2450          | {'f1': 0.8357098574085554} | {'accuracy': 0.7459252157238735} |
| 0.0006        | 1155.0 | 39270 | 3.0282          | {'f1': 0.8377850162866449} | {'accuracy': 0.7612655800575263} |
| 0.0006        | 1156.0 | 39304 | 2.9980          | {'f1': 0.8393442622950821} | {'accuracy': 0.7651006711409396} |
| 0.0006        | 1157.0 | 39338 | 3.1611          | {'f1': 0.8385053831538949} | {'accuracy': 0.7555129434324065} |
| 0.0006        | 1158.0 | 39372 | 3.3974          | {'f1': 0.8411330049261084} | {'accuracy': 0.7526366251198466} |
| 0.0006        | 1159.0 | 39406 | 3.4052          | {'f1': 0.8411330049261084} | {'accuracy': 0.7526366251198466} |
| 0.0006        | 1160.0 | 39440 | 3.4009          | {'f1': 0.8411330049261084} | {'accuracy': 0.7526366251198466} |
| 0.0006        | 1161.0 | 39474 | 3.1150          | {'f1': 0.8410123296560675} | {'accuracy': 0.7651006711409396} |
| 0.0015        | 1162.0 | 39508 | 3.1018          | {'f1': 0.8405985686402083} | {'accuracy': 0.7651006711409396} |
| 0.0015        | 1163.0 | 39542 | 3.3718          | {'f1': 0.840024706609018}  | {'accuracy': 0.7516778523489933} |
| 0.0015        | 1164.0 | 39576 | 3.4885          | {'f1': 0.838749233599019}  | {'accuracy': 0.74784276126558}   |
| 0.0015        | 1165.0 | 39610 | 3.4889          | {'f1': 0.838749233599019}  | {'accuracy': 0.74784276126558}   |
| 0.0015        | 1166.0 | 39644 | 3.4886          | {'f1': 0.838749233599019}  | {'accuracy': 0.74784276126558}   |
| 0.0015        | 1167.0 | 39678 | 3.4881          | {'f1': 0.838749233599019}  | {'accuracy': 0.74784276126558}   |
| 0.0015        | 1168.0 | 39712 | 3.4828          | {'f1': 0.8385512584407613} | {'accuracy': 0.74784276126558}   |
| 0.0015        | 1169.0 | 39746 | 3.4809          | {'f1': 0.8385512584407613} | {'accuracy': 0.74784276126558}   |
| 0.0015        | 1170.0 | 39780 | 3.2265          | {'f1': 0.8387096774193549} | {'accuracy': 0.7555129434324065} |
| 0.0015        | 1171.0 | 39814 | 3.1164          | {'f1': 0.8408057179987004} | {'accuracy': 0.7651006711409396} |
| 0.0015        | 1172.0 | 39848 | 3.1195          | {'f1': 0.8402597402597403} | {'accuracy': 0.7641418983700863} |
| 0.0015        | 1173.0 | 39882 | 3.1201          | {'f1': 0.8402597402597403} | {'accuracy': 0.7641418983700863} |
| 0.0015        | 1174.0 | 39916 | 3.0571          | {'f1': 0.8317631224764469} | {'accuracy': 0.7603068072866731} |
| 0.0015        | 1175.0 | 39950 | 3.1408          | {'f1': 0.8410852713178294} | {'accuracy': 0.7641418983700863} |
| 0.0015        | 1176.0 | 39984 | 3.1916          | {'f1': 0.8417680973734787} | {'accuracy': 0.763183125599233}  |
| 0.0002        | 1177.0 | 40018 | 3.1935          | {'f1': 0.8417680973734787} | {'accuracy': 0.763183125599233}  |
| 0.0002        | 1178.0 | 40052 | 3.1942          | {'f1': 0.8417680973734787} | {'accuracy': 0.763183125599233}  |
| 0.0002        | 1179.0 | 40086 | 3.1949          | {'f1': 0.8417680973734787} | {'accuracy': 0.763183125599233}  |
| 0.0002        | 1180.0 | 40120 | 3.1953          | {'f1': 0.8417680973734787} | {'accuracy': 0.763183125599233}  |
| 0.0002        | 1181.0 | 40154 | 3.1956          | {'f1': 0.8417680973734787} | {'accuracy': 0.763183125599233}  |
| 0.0002        | 1182.0 | 40188 | 3.1975          | {'f1': 0.8425096030729833} | {'accuracy': 0.7641418983700863} |
| 0.0002        | 1183.0 | 40222 | 3.1991          | {'f1': 0.8432501599488165} | {'accuracy': 0.7651006711409396} |
| 0.0002        | 1184.0 | 40256 | 3.1996          | {'f1': 0.8432501599488165} | {'accuracy': 0.7651006711409396} |
| 0.0002        | 1185.0 | 40290 | 3.1998          | {'f1': 0.8432501599488165} | {'accuracy': 0.7651006711409396} |
| 0.0002        | 1186.0 | 40324 | 3.2002          | {'f1': 0.8432501599488165} | {'accuracy': 0.7651006711409396} |
| 0.0002        | 1187.0 | 40358 | 3.1993          | {'f1': 0.8425096030729833} | {'accuracy': 0.7641418983700863} |
| 0.0002        | 1188.0 | 40392 | 3.1996          | {'f1': 0.8425096030729833} | {'accuracy': 0.7641418983700863} |
| 0.0002        | 1189.0 | 40426 | 3.2006          | {'f1': 0.8425096030729833} | {'accuracy': 0.7641418983700863} |
| 0.0002        | 1190.0 | 40460 | 3.2010          | {'f1': 0.8425096030729833} | {'accuracy': 0.7641418983700863} |
| 0.0002        | 1191.0 | 40494 | 3.2014          | {'f1': 0.8425096030729833} | {'accuracy': 0.7641418983700863} |
| 0.0           | 1192.0 | 40528 | 3.2026          | {'f1': 0.8432501599488165} | {'accuracy': 0.7651006711409396} |
| 0.0           | 1193.0 | 40562 | 3.1400          | {'f1': 0.8405985686402083} | {'accuracy': 0.7651006711409396} |
| 0.0           | 1194.0 | 40596 | 3.1234          | {'f1': 0.84107259646828}   | {'accuracy': 0.7670182166826462} |
| 0.0           | 1195.0 | 40630 | 3.1383          | {'f1': 0.8405228758169935} | {'accuracy': 0.7660594439117929} |
| 0.0           | 1196.0 | 40664 | 3.1422          | {'f1': 0.8405228758169935} | {'accuracy': 0.7660594439117929} |
| 0.0           | 1197.0 | 40698 | 3.1468          | {'f1': 0.8405228758169935} | {'accuracy': 0.7660594439117929} |
| 0.0           | 1198.0 | 40732 | 3.1486          | {'f1': 0.8399738732854344} | {'accuracy': 0.7651006711409396} |
| 0.0           | 1199.0 | 40766 | 3.5103          | {'f1': 0.838390092879257}  | {'accuracy': 0.7497603068072867} |
| 0.0           | 1200.0 | 40800 | 3.5735          | {'f1': 0.8374384236453202} | {'accuracy': 0.7468839884947267} |
| 0.0           | 1201.0 | 40834 | 3.5755          | {'f1': 0.8374384236453202} | {'accuracy': 0.7468839884947267} |
| 0.0           | 1202.0 | 40868 | 3.5755          | {'f1': 0.8374384236453202} | {'accuracy': 0.7468839884947267} |
| 0.0           | 1203.0 | 40902 | 3.5754          | {'f1': 0.8374384236453202} | {'accuracy': 0.7468839884947267} |
| 0.0           | 1204.0 | 40936 | 3.5755          | {'f1': 0.8374384236453202} | {'accuracy': 0.7468839884947267} |
| 0.0           | 1205.0 | 40970 | 3.5741          | {'f1': 0.8374384236453202} | {'accuracy': 0.7468839884947267} |
| 0.0           | 1206.0 | 41004 | 3.5775          | {'f1': 0.8374384236453202} | {'accuracy': 0.7468839884947267} |
| 0.0           | 1207.0 | 41038 | 3.5288          | {'f1': 0.8378712871287128} | {'accuracy': 0.7488015340364333} |
| 0.0           | 1208.0 | 41072 | 3.4448          | {'f1': 0.8389513108614233} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1209.0 | 41106 | 3.4430          | {'f1': 0.8382261086820737} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1210.0 | 41140 | 3.4432          | {'f1': 0.8382261086820737} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1211.0 | 41174 | 3.4431          | {'f1': 0.8382261086820737} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1212.0 | 41208 | 3.4433          | {'f1': 0.8382261086820737} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1213.0 | 41242 | 3.4435          | {'f1': 0.8382261086820737} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1214.0 | 41276 | 3.4440          | {'f1': 0.8382261086820737} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1215.0 | 41310 | 3.4444          | {'f1': 0.8382261086820737} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1216.0 | 41344 | 3.4445          | {'f1': 0.8382261086820737} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1217.0 | 41378 | 3.4447          | {'f1': 0.8382261086820737} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1218.0 | 41412 | 3.4447          | {'f1': 0.8382261086820737} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1219.0 | 41446 | 3.4446          | {'f1': 0.83875}            | {'accuracy': 0.7526366251198466} |
| 0.0           | 1220.0 | 41480 | 4.0574          | {'f1': 0.8362327534493101} | {'accuracy': 0.738255033557047}  |
| 0.0           | 1221.0 | 41514 | 3.5882          | {'f1': 0.840937114673243}  | {'accuracy': 0.7526366251198466} |
| 0.0           | 1222.0 | 41548 | 3.5761          | {'f1': 0.840937114673243}  | {'accuracy': 0.7526366251198466} |
| 0.0           | 1223.0 | 41582 | 3.5726          | {'f1': 0.840937114673243}  | {'accuracy': 0.7526366251198466} |
| 0.0           | 1224.0 | 41616 | 3.5726          | {'f1': 0.840937114673243}  | {'accuracy': 0.7526366251198466} |
| 0.0           | 1225.0 | 41650 | 3.5726          | {'f1': 0.840937114673243}  | {'accuracy': 0.7526366251198466} |
| 0.0           | 1226.0 | 41684 | 3.4831          | {'f1': 0.8400746733042936} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1227.0 | 41718 | 3.4732          | {'f1': 0.8393524283935242} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1228.0 | 41752 | 3.4731          | {'f1': 0.8393524283935242} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1229.0 | 41786 | 3.4732          | {'f1': 0.8393524283935242} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1230.0 | 41820 | 3.4732          | {'f1': 0.8393524283935242} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1231.0 | 41854 | 3.4734          | {'f1': 0.8393524283935242} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1232.0 | 41888 | 3.4727          | {'f1': 0.8398753894080997} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1233.0 | 41922 | 3.4723          | {'f1': 0.8398753894080997} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1234.0 | 41956 | 3.4728          | {'f1': 0.8398753894080997} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1235.0 | 41990 | 3.4730          | {'f1': 0.8398753894080997} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1236.0 | 42024 | 3.4730          | {'f1': 0.8398753894080997} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1237.0 | 42058 | 3.5325          | {'f1': 0.8406695598264106} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1238.0 | 42092 | 3.5571          | {'f1': 0.8403465346534654} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1239.0 | 42126 | 3.1688          | {'f1': 0.8385382059800663} | {'accuracy': 0.7670182166826462} |
| 0.0           | 1240.0 | 42160 | 3.1687          | {'f1': 0.8345612860013396} | {'accuracy': 0.763183125599233}  |
| 0.0           | 1241.0 | 42194 | 3.2048          | {'f1': 0.837730870712401}  | {'accuracy': 0.7641418983700863} |
| 0.0           | 1242.0 | 42228 | 3.2593          | {'f1': 0.8399738732854344} | {'accuracy': 0.7651006711409396} |
| 0.0           | 1243.0 | 42262 | 3.2657          | {'f1': 0.8399738732854344} | {'accuracy': 0.7651006711409396} |
| 0.0           | 1244.0 | 42296 | 3.2672          | {'f1': 0.8399738732854344} | {'accuracy': 0.7651006711409396} |
| 0.0           | 1245.0 | 42330 | 3.2699          | {'f1': 0.8399738732854344} | {'accuracy': 0.7651006711409396} |
| 0.0           | 1246.0 | 42364 | 3.2720          | {'f1': 0.8399738732854344} | {'accuracy': 0.7651006711409396} |
| 0.0           | 1247.0 | 42398 | 3.2756          | {'f1': 0.8399738732854344} | {'accuracy': 0.7651006711409396} |
| 0.0           | 1248.0 | 42432 | 3.7098          | {'f1': 0.837954405422058}  | {'accuracy': 0.74784276126558}   |
| 0.0           | 1249.0 | 42466 | 3.7278          | {'f1': 0.8366093366093366} | {'accuracy': 0.7449664429530202} |
| 0.0002        | 1250.0 | 42500 | 3.6318          | {'f1': 0.8372670807453417} | {'accuracy': 0.7488015340364333} |
| 0.0002        | 1251.0 | 42534 | 3.5856          | {'f1': 0.8359326263256395} | {'accuracy': 0.74784276126558}   |
| 0.0002        | 1252.0 | 42568 | 3.5843          | {'f1': 0.8359326263256395} | {'accuracy': 0.74784276126558}   |
| 0.0002        | 1253.0 | 42602 | 3.5852          | {'f1': 0.8359326263256395} | {'accuracy': 0.74784276126558}   |
| 0.0002        | 1254.0 | 42636 | 3.5853          | {'f1': 0.8359326263256395} | {'accuracy': 0.74784276126558}   |
| 0.0002        | 1255.0 | 42670 | 3.5857          | {'f1': 0.8359326263256395} | {'accuracy': 0.74784276126558}   |
| 0.0002        | 1256.0 | 42704 | 3.5859          | {'f1': 0.8359326263256395} | {'accuracy': 0.74784276126558}   |
| 0.0002        | 1257.0 | 42738 | 3.5858          | {'f1': 0.8359326263256395} | {'accuracy': 0.74784276126558}   |
| 0.0002        | 1258.0 | 42772 | 3.5470          | {'f1': 0.8383084577114429} | {'accuracy': 0.75071907957814}   |
| 0.0002        | 1259.0 | 42806 | 3.2429          | {'f1': 0.8412184057031757} | {'accuracy': 0.7651006711409396} |
| 0.0002        | 1260.0 | 42840 | 3.3302          | {'f1': 0.8425096030729833} | {'accuracy': 0.7641418983700863} |
| 0.0002        | 1261.0 | 42874 | 3.4607          | {'f1': 0.8379396984924623} | {'accuracy': 0.7526366251198466} |
| 0.0002        | 1262.0 | 42908 | 3.4639          | {'f1': 0.8379396984924623} | {'accuracy': 0.7526366251198466} |
| 0.0002        | 1263.0 | 42942 | 3.2307          | {'f1': 0.8427835051546391} | {'accuracy': 0.7660594439117929} |
| 0.0002        | 1264.0 | 42976 | 3.1433          | {'f1': 0.8409387222946545} | {'accuracy': 0.7660594439117929} |
| 0.0034        | 1265.0 | 43010 | 3.1429          | {'f1': 0.8409387222946545} | {'accuracy': 0.7660594439117929} |
| 0.0034        | 1266.0 | 43044 | 3.1814          | {'f1': 0.8405422853453841} | {'accuracy': 0.763183125599233}  |
| 0.0034        | 1267.0 | 43078 | 3.1860          | {'f1': 0.8405422853453841} | {'accuracy': 0.763183125599233}  |
| 0.0034        | 1268.0 | 43112 | 3.1868          | {'f1': 0.8405422853453841} | {'accuracy': 0.763183125599233}  |
| 0.0034        | 1269.0 | 43146 | 3.1928          | {'f1': 0.8407479045776919} | {'accuracy': 0.763183125599233}  |
| 0.0034        | 1270.0 | 43180 | 3.1940          | {'f1': 0.8407479045776919} | {'accuracy': 0.763183125599233}  |
| 0.0034        | 1271.0 | 43214 | 3.1958          | {'f1': 0.8402061855670104} | {'accuracy': 0.7622243528283796} |
| 0.0034        | 1272.0 | 43248 | 3.1996          | {'f1': 0.8402061855670104} | {'accuracy': 0.7622243528283796} |
| 0.0034        | 1273.0 | 43282 | 3.2036          | {'f1': 0.840952994204765}  | {'accuracy': 0.763183125599233}  |
| 0.0034        | 1274.0 | 43316 | 3.2040          | {'f1': 0.840952994204765}  | {'accuracy': 0.763183125599233}  |
| 0.0034        | 1275.0 | 43350 | 3.2090          | {'f1': 0.840952994204765}  | {'accuracy': 0.763183125599233}  |
| 0.0034        | 1276.0 | 43384 | 3.2103          | {'f1': 0.8416988416988417} | {'accuracy': 0.7641418983700863} |
| 0.0034        | 1277.0 | 43418 | 3.2108          | {'f1': 0.8416988416988417} | {'accuracy': 0.7641418983700863} |
| 0.0034        | 1278.0 | 43452 | 3.2112          | {'f1': 0.8416988416988417} | {'accuracy': 0.7641418983700863} |
| 0.0034        | 1279.0 | 43486 | 3.2141          | {'f1': 0.8416988416988417} | {'accuracy': 0.7641418983700863} |
| 0.0           | 1280.0 | 43520 | 3.4151          | {'f1': 0.8381430363864492} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1281.0 | 43554 | 3.6340          | {'f1': 0.8379204892966362} | {'accuracy': 0.7459252157238735} |
| 0.0           | 1282.0 | 43588 | 3.4145          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1283.0 | 43622 | 3.3389          | {'f1': 0.8410386320455985} | {'accuracy': 0.7593480345158198} |
| 0.0           | 1284.0 | 43656 | 3.3696          | {'f1': 0.8421717171717172} | {'accuracy': 0.7603068072866731} |
| 0.0           | 1285.0 | 43690 | 3.3808          | {'f1': 0.8418399495904222} | {'accuracy': 0.7593480345158198} |
| 0.0           | 1286.0 | 43724 | 3.3817          | {'f1': 0.8413098236775819} | {'accuracy': 0.7583892617449665} |
| 0.0           | 1287.0 | 43758 | 3.3820          | {'f1': 0.8413098236775819} | {'accuracy': 0.7583892617449665} |
| 0.0           | 1288.0 | 43792 | 3.3856          | {'f1': 0.8413098236775819} | {'accuracy': 0.7583892617449665} |
| 0.0           | 1289.0 | 43826 | 3.3874          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0           | 1290.0 | 43860 | 3.3880          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0           | 1291.0 | 43894 | 3.3882          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0           | 1292.0 | 43928 | 3.3884          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0           | 1293.0 | 43962 | 3.3882          | {'f1': 0.8413098236775819} | {'accuracy': 0.7583892617449665} |
| 0.0           | 1294.0 | 43996 | 3.3883          | {'f1': 0.8413098236775819} | {'accuracy': 0.7583892617449665} |
| 0.0001        | 1295.0 | 44030 | 3.3888          | {'f1': 0.8413098236775819} | {'accuracy': 0.7583892617449665} |
| 0.0001        | 1296.0 | 44064 | 3.3892          | {'f1': 0.8413098236775819} | {'accuracy': 0.7583892617449665} |
| 0.0001        | 1297.0 | 44098 | 3.3896          | {'f1': 0.8413098236775819} | {'accuracy': 0.7583892617449665} |
| 0.0001        | 1298.0 | 44132 | 3.3898          | {'f1': 0.8413098236775819} | {'accuracy': 0.7583892617449665} |
| 0.0001        | 1299.0 | 44166 | 3.3897          | {'f1': 0.8413098236775819} | {'accuracy': 0.7583892617449665} |
| 0.0001        | 1300.0 | 44200 | 3.3902          | {'f1': 0.8413098236775819} | {'accuracy': 0.7583892617449665} |
| 0.0001        | 1301.0 | 44234 | 3.3908          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0001        | 1302.0 | 44268 | 3.3910          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0001        | 1303.0 | 44302 | 3.3910          | {'f1': 0.8413098236775819} | {'accuracy': 0.7583892617449665} |
| 0.0001        | 1304.0 | 44336 | 3.3911          | {'f1': 0.8413098236775819} | {'accuracy': 0.7583892617449665} |
| 0.0001        | 1305.0 | 44370 | 3.3913          | {'f1': 0.8413098236775819} | {'accuracy': 0.7583892617449665} |
| 0.0001        | 1306.0 | 44404 | 3.3915          | {'f1': 0.8413098236775819} | {'accuracy': 0.7583892617449665} |
| 0.0001        | 1307.0 | 44438 | 3.3917          | {'f1': 0.8413098236775819} | {'accuracy': 0.7583892617449665} |
| 0.0001        | 1308.0 | 44472 | 3.3919          | {'f1': 0.8413098236775819} | {'accuracy': 0.7583892617449665} |
| 0.0           | 1309.0 | 44506 | 3.3922          | {'f1': 0.8413098236775819} | {'accuracy': 0.7583892617449665} |
| 0.0           | 1310.0 | 44540 | 3.3924          | {'f1': 0.8413098236775819} | {'accuracy': 0.7583892617449665} |
| 0.0           | 1311.0 | 44574 | 3.3941          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0           | 1312.0 | 44608 | 3.3953          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0           | 1313.0 | 44642 | 3.3957          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0           | 1314.0 | 44676 | 3.3959          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0           | 1315.0 | 44710 | 3.3962          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0           | 1316.0 | 44744 | 3.3965          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0           | 1317.0 | 44778 | 3.3969          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0           | 1318.0 | 44812 | 3.3973          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0           | 1319.0 | 44846 | 3.3976          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0           | 1320.0 | 44880 | 3.3979          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0           | 1321.0 | 44914 | 3.3984          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0           | 1322.0 | 44948 | 3.0822          | {'f1': 0.8387096774193548} | {'accuracy': 0.7698945349952061} |
| 0.0           | 1323.0 | 44982 | 3.2877          | {'f1': 0.839871382636656}  | {'accuracy': 0.7612655800575263} |
| 0.0           | 1324.0 | 45016 | 3.3477          | {'f1': 0.8422391857506362} | {'accuracy': 0.7622243528283796} |
| 0.0           | 1325.0 | 45050 | 3.3501          | {'f1': 0.8422391857506362} | {'accuracy': 0.7622243528283796} |
| 0.0           | 1326.0 | 45084 | 3.3505          | {'f1': 0.8422391857506362} | {'accuracy': 0.7622243528283796} |
| 0.0           | 1327.0 | 45118 | 3.7730          | {'f1': 0.8389057750759878} | {'accuracy': 0.7459252157238735} |
| 0.0           | 1328.0 | 45152 | 3.7891          | {'f1': 0.8365617433414043} | {'accuracy': 0.7411313518696069} |
| 0.0           | 1329.0 | 45186 | 3.7873          | {'f1': 0.8375757575757576} | {'accuracy': 0.7430488974113135} |
| 0.0           | 1330.0 | 45220 | 3.7863          | {'f1': 0.8380836870830807} | {'accuracy': 0.7440076701821668} |
| 0.0           | 1331.0 | 45254 | 3.7860          | {'f1': 0.8380836870830807} | {'accuracy': 0.7440076701821668} |
| 0.0           | 1332.0 | 45288 | 3.7577          | {'f1': 0.8389057750759878} | {'accuracy': 0.7459252157238735} |
| 0.0           | 1333.0 | 45322 | 3.7510          | {'f1': 0.8394160583941607} | {'accuracy': 0.7468839884947267} |
| 0.0           | 1334.0 | 45356 | 3.3854          | {'f1': 0.840251572327044}  | {'accuracy': 0.7564717162032598} |
| 0.0           | 1335.0 | 45390 | 3.2651          | {'f1': 0.8421725239616613} | {'accuracy': 0.763183125599233}  |
| 0.0           | 1336.0 | 45424 | 3.2774          | {'f1': 0.8416347381864623} | {'accuracy': 0.7622243528283796} |
| 0.0           | 1337.0 | 45458 | 3.2789          | {'f1': 0.8423739629865986} | {'accuracy': 0.763183125599233}  |
| 0.0           | 1338.0 | 45492 | 3.2792          | {'f1': 0.8423739629865986} | {'accuracy': 0.763183125599233}  |
| 0.0006        | 1339.0 | 45526 | 3.3656          | {'f1': 0.8411097099621689} | {'accuracy': 0.7583892617449665} |
| 0.0006        | 1340.0 | 45560 | 3.3723          | {'f1': 0.8418399495904222} | {'accuracy': 0.7593480345158198} |
| 0.0006        | 1341.0 | 45594 | 3.3726          | {'f1': 0.8418399495904222} | {'accuracy': 0.7593480345158198} |
| 0.0006        | 1342.0 | 45628 | 3.3729          | {'f1': 0.8418399495904222} | {'accuracy': 0.7593480345158198} |
| 0.0006        | 1343.0 | 45662 | 3.3712          | {'f1': 0.8418399495904222} | {'accuracy': 0.7593480345158198} |
| 0.0006        | 1344.0 | 45696 | 3.3716          | {'f1': 0.8418399495904222} | {'accuracy': 0.7593480345158198} |
| 0.0006        | 1345.0 | 45730 | 3.3713          | {'f1': 0.8418399495904222} | {'accuracy': 0.7593480345158198} |
| 0.0006        | 1346.0 | 45764 | 3.3704          | {'f1': 0.8411097099621689} | {'accuracy': 0.7583892617449665} |
| 0.0006        | 1347.0 | 45798 | 3.3706          | {'f1': 0.8411097099621689} | {'accuracy': 0.7583892617449665} |
| 0.0006        | 1348.0 | 45832 | 3.7868          | {'f1': 0.8362537764350454} | {'accuracy': 0.7401725790987536} |
| 0.0006        | 1349.0 | 45866 | 3.8531          | {'f1': 0.8377403846153847} | {'accuracy': 0.7411313518696069} |
| 0.0006        | 1350.0 | 45900 | 3.8530          | {'f1': 0.8377403846153847} | {'accuracy': 0.7411313518696069} |
| 0.0006        | 1351.0 | 45934 | 3.1111          | {'f1': 0.8415584415584416} | {'accuracy': 0.7660594439117929} |
| 0.0006        | 1352.0 | 45968 | 3.2749          | {'f1': 0.842039018250472}  | {'accuracy': 0.7593480345158198} |
| 0.0019        | 1353.0 | 46002 | 3.1427          | {'f1': 0.8408057179987004} | {'accuracy': 0.7651006711409396} |
| 0.0019        | 1354.0 | 46036 | 3.1345          | {'f1': 0.83984375}         | {'accuracy': 0.7641418983700863} |
| 0.0019        | 1355.0 | 46070 | 3.1395          | {'f1': 0.83984375}         | {'accuracy': 0.7641418983700863} |
| 0.0019        | 1356.0 | 46104 | 3.1872          | {'f1': 0.8422408242112042} | {'accuracy': 0.7651006711409396} |
| 0.0019        | 1357.0 | 46138 | 3.1972          | {'f1': 0.8421052631578947} | {'accuracy': 0.7641418983700863} |
| 0.0019        | 1358.0 | 46172 | 3.2015          | {'f1': 0.8421052631578947} | {'accuracy': 0.7641418983700863} |
| 0.0019        | 1359.0 | 46206 | 3.2024          | {'f1': 0.8421052631578947} | {'accuracy': 0.7641418983700863} |
| 0.0019        | 1360.0 | 46240 | 3.2040          | {'f1': 0.8421052631578947} | {'accuracy': 0.7641418983700863} |
| 0.0019        | 1361.0 | 46274 | 3.2048          | {'f1': 0.8421052631578947} | {'accuracy': 0.7641418983700863} |
| 0.0019        | 1362.0 | 46308 | 3.2051          | {'f1': 0.8421052631578947} | {'accuracy': 0.7641418983700863} |
| 0.0019        | 1363.0 | 46342 | 3.2058          | {'f1': 0.8421052631578947} | {'accuracy': 0.7641418983700863} |
| 0.0019        | 1364.0 | 46376 | 3.2061          | {'f1': 0.8421052631578947} | {'accuracy': 0.7641418983700863} |
| 0.0019        | 1365.0 | 46410 | 3.2106          | {'f1': 0.8423076923076922} | {'accuracy': 0.7641418983700863} |
| 0.0019        | 1366.0 | 46444 | 3.2117          | {'f1': 0.8425096030729833} | {'accuracy': 0.7641418983700863} |
| 0.0019        | 1367.0 | 46478 | 3.2120          | {'f1': 0.8425096030729833} | {'accuracy': 0.7641418983700863} |
| 0.0           | 1368.0 | 46512 | 3.2123          | {'f1': 0.8425096030729833} | {'accuracy': 0.7641418983700863} |
| 0.0           | 1369.0 | 46546 | 3.2148          | {'f1': 0.8432501599488165} | {'accuracy': 0.7651006711409396} |
| 0.0           | 1370.0 | 46580 | 3.2165          | {'f1': 0.8432501599488165} | {'accuracy': 0.7651006711409396} |
| 0.0           | 1371.0 | 46614 | 3.2183          | {'f1': 0.8427109974424553} | {'accuracy': 0.7641418983700863} |
| 0.0           | 1372.0 | 46648 | 3.2189          | {'f1': 0.8427109974424553} | {'accuracy': 0.7641418983700863} |
| 0.0           | 1373.0 | 46682 | 3.2191          | {'f1': 0.8432501599488165} | {'accuracy': 0.7651006711409396} |
| 0.0           | 1374.0 | 46716 | 3.2195          | {'f1': 0.8432501599488165} | {'accuracy': 0.7651006711409396} |
| 0.0           | 1375.0 | 46750 | 3.2199          | {'f1': 0.8432501599488165} | {'accuracy': 0.7651006711409396} |
| 0.0           | 1376.0 | 46784 | 3.2209          | {'f1': 0.8427109974424553} | {'accuracy': 0.7641418983700863} |
| 0.0           | 1377.0 | 46818 | 3.2212          | {'f1': 0.8427109974424553} | {'accuracy': 0.7641418983700863} |
| 0.0           | 1378.0 | 46852 | 3.2214          | {'f1': 0.8427109974424553} | {'accuracy': 0.7641418983700863} |
| 0.0           | 1379.0 | 46886 | 3.1193          | {'f1': 0.8378200919238344} | {'accuracy': 0.763183125599233}  |
| 0.0           | 1380.0 | 46920 | 3.1839          | {'f1': 0.8384166125892277} | {'accuracy': 0.7612655800575263} |
| 0.0           | 1381.0 | 46954 | 3.1916          | {'f1': 0.8391699092088196} | {'accuracy': 0.7622243528283796} |
| 0.0           | 1382.0 | 46988 | 3.3572          | {'f1': 0.8357641090678504} | {'accuracy': 0.7516778523489933} |
| 0.0004        | 1383.0 | 47022 | 3.4433          | {'f1': 0.8360450563204005} | {'accuracy': 0.7488015340364333} |
| 0.0004        | 1384.0 | 47056 | 3.4482          | {'f1': 0.83625}            | {'accuracy': 0.7488015340364333} |
| 0.0004        | 1385.0 | 47090 | 3.4485          | {'f1': 0.83625}            | {'accuracy': 0.7488015340364333} |
| 0.0004        | 1386.0 | 47124 | 3.4495          | {'f1': 0.83625}            | {'accuracy': 0.7488015340364333} |
| 0.0004        | 1387.0 | 47158 | 3.4496          | {'f1': 0.83625}            | {'accuracy': 0.7488015340364333} |
| 0.0004        | 1388.0 | 47192 | 3.4498          | {'f1': 0.83625}            | {'accuracy': 0.7488015340364333} |
| 0.0004        | 1389.0 | 47226 | 3.4501          | {'f1': 0.83625}            | {'accuracy': 0.7488015340364333} |
| 0.0004        | 1390.0 | 47260 | 3.1782          | {'f1': 0.84}               | {'accuracy': 0.7622243528283796} |
| 0.0004        | 1391.0 | 47294 | 3.1475          | {'f1': 0.8395860284605433} | {'accuracy': 0.7622243528283796} |
| 0.0004        | 1392.0 | 47328 | 3.1939          | {'f1': 0.8402061855670104} | {'accuracy': 0.7622243528283796} |
| 0.0004        | 1393.0 | 47362 | 3.2117          | {'f1': 0.8380462724935733} | {'accuracy': 0.7583892617449665} |
| 0.0004        | 1394.0 | 47396 | 3.2137          | {'f1': 0.8380462724935733} | {'accuracy': 0.7583892617449665} |
| 0.0004        | 1395.0 | 47430 | 3.2156          | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0004        | 1396.0 | 47464 | 3.2167          | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0004        | 1397.0 | 47498 | 3.2173          | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0006        | 1398.0 | 47532 | 3.2179          | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0006        | 1399.0 | 47566 | 3.2188          | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0006        | 1400.0 | 47600 | 3.2193          | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0006        | 1401.0 | 47634 | 3.2565          | {'f1': 0.8367346938775511} | {'accuracy': 0.7545541706615532} |
| 0.0006        | 1402.0 | 47668 | 3.2680          | {'f1': 0.8367346938775511} | {'accuracy': 0.7545541706615532} |
| 0.0006        | 1403.0 | 47702 | 3.2696          | {'f1': 0.8367346938775511} | {'accuracy': 0.7545541706615532} |
| 0.0006        | 1404.0 | 47736 | 3.2711          | {'f1': 0.8362014021669855} | {'accuracy': 0.7535953978907}    |
| 0.0006        | 1405.0 | 47770 | 3.2875          | {'f1': 0.835346471710108}  | {'accuracy': 0.7516778523489933} |
| 0.0006        | 1406.0 | 47804 | 3.2885          | {'f1': 0.8342857142857142} | {'accuracy': 0.7497603068072867} |
| 0.0006        | 1407.0 | 47838 | 3.2888          | {'f1': 0.8342857142857142} | {'accuracy': 0.7497603068072867} |
| 0.0006        | 1408.0 | 47872 | 3.2893          | {'f1': 0.8342857142857142} | {'accuracy': 0.7497603068072867} |
| 0.0006        | 1409.0 | 47906 | 3.2896          | {'f1': 0.8342857142857142} | {'accuracy': 0.7497603068072867} |
| 0.0006        | 1410.0 | 47940 | 3.7820          | {'f1': 0.8348457350272231} | {'accuracy': 0.738255033557047}  |
| 0.0006        | 1411.0 | 47974 | 3.4282          | {'f1': 0.8407407407407408} | {'accuracy': 0.7526366251198466} |
| 0.0013        | 1412.0 | 48008 | 3.2529          | {'f1': 0.8377693282636249} | {'accuracy': 0.7545541706615532} |
| 0.0013        | 1413.0 | 48042 | 3.2523          | {'f1': 0.8377693282636249} | {'accuracy': 0.7545541706615532} |
| 0.0013        | 1414.0 | 48076 | 3.2875          | {'f1': 0.8409090909090908} | {'accuracy': 0.7583892617449665} |
| 0.0013        | 1415.0 | 48110 | 3.2892          | {'f1': 0.841640378548896}  | {'accuracy': 0.7593480345158198} |
| 0.0013        | 1416.0 | 48144 | 3.2895          | {'f1': 0.841640378548896}  | {'accuracy': 0.7593480345158198} |
| 0.0013        | 1417.0 | 48178 | 3.2896          | {'f1': 0.841640378548896}  | {'accuracy': 0.7593480345158198} |
| 0.0013        | 1418.0 | 48212 | 3.2898          | {'f1': 0.841640378548896}  | {'accuracy': 0.7593480345158198} |
| 0.0013        | 1419.0 | 48246 | 3.2899          | {'f1': 0.841640378548896}  | {'accuracy': 0.7593480345158198} |
| 0.0013        | 1420.0 | 48280 | 3.2901          | {'f1': 0.841640378548896}  | {'accuracy': 0.7593480345158198} |
| 0.0013        | 1421.0 | 48314 | 3.2901          | {'f1': 0.841640378548896}  | {'accuracy': 0.7593480345158198} |
| 0.0013        | 1422.0 | 48348 | 3.2901          | {'f1': 0.8409090909090908} | {'accuracy': 0.7583892617449665} |
| 0.0013        | 1423.0 | 48382 | 3.2902          | {'f1': 0.8409090909090908} | {'accuracy': 0.7583892617449665} |
| 0.0013        | 1424.0 | 48416 | 3.2903          | {'f1': 0.8409090909090908} | {'accuracy': 0.7583892617449665} |
| 0.0013        | 1425.0 | 48450 | 3.2905          | {'f1': 0.8409090909090908} | {'accuracy': 0.7583892617449665} |
| 0.0013        | 1426.0 | 48484 | 3.2906          | {'f1': 0.8409090909090908} | {'accuracy': 0.7583892617449665} |
| 0.0           | 1427.0 | 48518 | 3.2908          | {'f1': 0.8409090909090908} | {'accuracy': 0.7583892617449665} |
| 0.0           | 1428.0 | 48552 | 3.2909          | {'f1': 0.8409090909090908} | {'accuracy': 0.7583892617449665} |
| 0.0           | 1429.0 | 48586 | 3.2911          | {'f1': 0.8409090909090908} | {'accuracy': 0.7583892617449665} |
| 0.0           | 1430.0 | 48620 | 3.2912          | {'f1': 0.8409090909090908} | {'accuracy': 0.7583892617449665} |
| 0.0           | 1431.0 | 48654 | 3.3021          | {'f1': 0.8411097099621689} | {'accuracy': 0.7583892617449665} |
| 0.0           | 1432.0 | 48688 | 3.3061          | {'f1': 0.8405797101449275} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1433.0 | 48722 | 3.3061          | {'f1': 0.8411097099621689} | {'accuracy': 0.7583892617449665} |
| 0.0           | 1434.0 | 48756 | 3.3061          | {'f1': 0.8411097099621689} | {'accuracy': 0.7583892617449665} |
| 0.0           | 1435.0 | 48790 | 3.3103          | {'f1': 0.8405797101449275} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1436.0 | 48824 | 3.3113          | {'f1': 0.8405797101449275} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1437.0 | 48858 | 3.3112          | {'f1': 0.8405797101449275} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1438.0 | 48892 | 3.3113          | {'f1': 0.8405797101449275} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1439.0 | 48926 | 3.3113          | {'f1': 0.8405797101449275} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1440.0 | 48960 | 3.3115          | {'f1': 0.8405797101449275} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1441.0 | 48994 | 3.3115          | {'f1': 0.8405797101449275} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1442.0 | 49028 | 3.3116          | {'f1': 0.8405797101449275} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1443.0 | 49062 | 3.3130          | {'f1': 0.8405797101449275} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1444.0 | 49096 | 3.3500          | {'f1': 0.8397997496871088} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1445.0 | 49130 | 3.3590          | {'f1': 0.8382261086820737} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1446.0 | 49164 | 3.3541          | {'f1': 0.83875}            | {'accuracy': 0.7526366251198466} |
| 0.0           | 1447.0 | 49198 | 3.3539          | {'f1': 0.83875}            | {'accuracy': 0.7526366251198466} |
| 0.0           | 1448.0 | 49232 | 3.3541          | {'f1': 0.83875}            | {'accuracy': 0.7526366251198466} |
| 0.0           | 1449.0 | 49266 | 3.3543          | {'f1': 0.83875}            | {'accuracy': 0.7526366251198466} |
| 0.0           | 1450.0 | 49300 | 3.0960          | {'f1': 0.8415516107823802} | {'accuracy': 0.7689357622243528} |
| 0.0           | 1451.0 | 49334 | 3.0652          | {'f1': 0.8354430379746836} | {'accuracy': 0.763183125599233}  |
| 0.0           | 1452.0 | 49368 | 3.0665          | {'f1': 0.8354430379746836} | {'accuracy': 0.763183125599233}  |
| 0.0           | 1453.0 | 49402 | 3.2554          | {'f1': 0.8383838383838385} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1454.0 | 49436 | 3.2680          | {'f1': 0.8380592312539382} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1455.0 | 49470 | 3.2685          | {'f1': 0.8380592312539382} | {'accuracy': 0.7535953978907}    |
| 0.0015        | 1456.0 | 49504 | 3.2689          | {'f1': 0.8380592312539382} | {'accuracy': 0.7535953978907}    |
| 0.0015        | 1457.0 | 49538 | 3.2691          | {'f1': 0.8380592312539382} | {'accuracy': 0.7535953978907}    |
| 0.0015        | 1458.0 | 49572 | 3.2232          | {'f1': 0.8387507966857872} | {'accuracy': 0.7574304889741131} |
| 0.0015        | 1459.0 | 49606 | 3.2149          | {'f1': 0.839821314613912}  | {'accuracy': 0.7593480345158198} |
| 0.0015        | 1460.0 | 49640 | 3.2635          | {'f1': 0.8385876418663304} | {'accuracy': 0.7545541706615532} |
| 0.0015        | 1461.0 | 49674 | 3.6601          | {'f1': 0.8380024360535933} | {'accuracy': 0.7449664429530202} |
| 0.0015        | 1462.0 | 49708 | 3.6704          | {'f1': 0.8369829683698297} | {'accuracy': 0.7430488974113135} |
| 0.0015        | 1463.0 | 49742 | 3.6704          | {'f1': 0.8369829683698297} | {'accuracy': 0.7430488974113135} |
| 0.0015        | 1464.0 | 49776 | 3.6667          | {'f1': 0.8380024360535933} | {'accuracy': 0.7449664429530202} |
| 0.0015        | 1465.0 | 49810 | 3.2441          | {'f1': 0.8393194706994328} | {'accuracy': 0.7555129434324065} |
| 0.0015        | 1466.0 | 49844 | 3.2329          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0015        | 1467.0 | 49878 | 3.2329          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0015        | 1468.0 | 49912 | 3.2341          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0015        | 1469.0 | 49946 | 3.2346          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0015        | 1470.0 | 49980 | 3.2343          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0008        | 1471.0 | 50014 | 3.2345          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0008        | 1472.0 | 50048 | 3.2347          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0008        | 1473.0 | 50082 | 3.2350          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0008        | 1474.0 | 50116 | 3.2351          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0008        | 1475.0 | 50150 | 3.2353          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0008        | 1476.0 | 50184 | 3.2355          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0008        | 1477.0 | 50218 | 3.2357          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0008        | 1478.0 | 50252 | 3.2371          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0008        | 1479.0 | 50286 | 3.2385          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0008        | 1480.0 | 50320 | 3.2398          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0008        | 1481.0 | 50354 | 3.2400          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0008        | 1482.0 | 50388 | 3.2403          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0008        | 1483.0 | 50422 | 3.2405          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0008        | 1484.0 | 50456 | 3.2408          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0008        | 1485.0 | 50490 | 3.2412          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1486.0 | 50524 | 3.2414          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1487.0 | 50558 | 3.2417          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1488.0 | 50592 | 3.2419          | {'f1': 0.8378548895899053} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1489.0 | 50626 | 3.5483          | {'f1': 0.8384332925336598} | {'accuracy': 0.7468839884947267} |
| 0.0           | 1490.0 | 50660 | 3.5694          | {'f1': 0.8386308068459658} | {'accuracy': 0.7468839884947267} |
| 0.0           | 1491.0 | 50694 | 3.5701          | {'f1': 0.8386308068459658} | {'accuracy': 0.7468839884947267} |
| 0.0           | 1492.0 | 50728 | 3.5701          | {'f1': 0.8386308068459658} | {'accuracy': 0.7468839884947267} |
| 0.0           | 1493.0 | 50762 | 3.5686          | {'f1': 0.8386308068459658} | {'accuracy': 0.7468839884947267} |
| 0.0           | 1494.0 | 50796 | 3.5683          | {'f1': 0.8391437308868501} | {'accuracy': 0.74784276126558}   |
| 0.0           | 1495.0 | 50830 | 3.5680          | {'f1': 0.8391437308868501} | {'accuracy': 0.74784276126558}   |
| 0.0           | 1496.0 | 50864 | 3.5678          | {'f1': 0.8391437308868501} | {'accuracy': 0.74784276126558}   |
| 0.0           | 1497.0 | 50898 | 3.1547          | {'f1': 0.840952994204765}  | {'accuracy': 0.763183125599233}  |
| 0.0           | 1498.0 | 50932 | 3.1486          | {'f1': 0.8402061855670104} | {'accuracy': 0.7622243528283796} |
| 0.0           | 1499.0 | 50966 | 3.3102          | {'f1': 0.8411910669975187} | {'accuracy': 0.7545541706615532} |
| 0.0016        | 1500.0 | 51000 | 3.3585          | {'f1': 0.8402948402948403} | {'accuracy': 0.75071907957814}   |
| 0.0016        | 1501.0 | 51034 | 3.3615          | {'f1': 0.8402948402948403} | {'accuracy': 0.75071907957814}   |
| 0.0016        | 1502.0 | 51068 | 3.3616          | {'f1': 0.8402948402948403} | {'accuracy': 0.75071907957814}   |
| 0.0016        | 1503.0 | 51102 | 3.3617          | {'f1': 0.8402948402948403} | {'accuracy': 0.75071907957814}   |
| 0.0016        | 1504.0 | 51136 | 3.3629          | {'f1': 0.8402948402948403} | {'accuracy': 0.75071907957814}   |
| 0.0016        | 1505.0 | 51170 | 3.3640          | {'f1': 0.8402948402948403} | {'accuracy': 0.75071907957814}   |
| 0.0016        | 1506.0 | 51204 | 3.3591          | {'f1': 0.8402948402948403} | {'accuracy': 0.75071907957814}   |
| 0.0016        | 1507.0 | 51238 | 3.3488          | {'f1': 0.8386699507389164} | {'accuracy': 0.7488015340364333} |
| 0.0016        | 1508.0 | 51272 | 3.3076          | {'f1': 0.8417132216014898} | {'accuracy': 0.7555129434324065} |
| 0.0016        | 1509.0 | 51306 | 3.3130          | {'f1': 0.8417132216014898} | {'accuracy': 0.7555129434324065} |
| 0.0016        | 1510.0 | 51340 | 3.3085          | {'f1': 0.8417132216014898} | {'accuracy': 0.7555129434324065} |
| 0.0016        | 1511.0 | 51374 | 3.3059          | {'f1': 0.8417132216014898} | {'accuracy': 0.7555129434324065} |
| 0.0016        | 1512.0 | 51408 | 3.3057          | {'f1': 0.8417132216014898} | {'accuracy': 0.7555129434324065} |
| 0.0016        | 1513.0 | 51442 | 3.3078          | {'f1': 0.8417132216014898} | {'accuracy': 0.7555129434324065} |
| 0.0016        | 1514.0 | 51476 | 3.3077          | {'f1': 0.8417132216014898} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1515.0 | 51510 | 3.3075          | {'f1': 0.8417132216014898} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1516.0 | 51544 | 3.3076          | {'f1': 0.8417132216014898} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1517.0 | 51578 | 3.3078          | {'f1': 0.8417132216014898} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1518.0 | 51612 | 3.8592          | {'f1': 0.830732292917167}  | {'accuracy': 0.7296260786193672} |
| 0.0           | 1519.0 | 51646 | 3.3649          | {'f1': 0.839030453697949}  | {'accuracy': 0.7516778523489933} |
| 0.0           | 1520.0 | 51680 | 3.3407          | {'f1': 0.8396756082345601} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1521.0 | 51714 | 3.3402          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1522.0 | 51748 | 3.3402          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1523.0 | 51782 | 3.3403          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1524.0 | 51816 | 3.3407          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1525.0 | 51850 | 3.3403          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1526.0 | 51884 | 3.3403          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1527.0 | 51918 | 3.3405          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1528.0 | 51952 | 3.3407          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1529.0 | 51986 | 3.3410          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0005        | 1530.0 | 52020 | 3.3411          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0005        | 1531.0 | 52054 | 3.3412          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0005        | 1532.0 | 52088 | 3.3410          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0005        | 1533.0 | 52122 | 3.3424          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0005        | 1534.0 | 52156 | 3.3426          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0005        | 1535.0 | 52190 | 3.3423          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0005        | 1536.0 | 52224 | 3.3424          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0005        | 1537.0 | 52258 | 3.3426          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0005        | 1538.0 | 52292 | 3.3426          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0005        | 1539.0 | 52326 | 3.3427          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0005        | 1540.0 | 52360 | 3.3428          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0005        | 1541.0 | 52394 | 3.3429          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0005        | 1542.0 | 52428 | 3.3429          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0005        | 1543.0 | 52462 | 3.3431          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0005        | 1544.0 | 52496 | 3.3432          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1545.0 | 52530 | 3.3433          | {'f1': 0.8401997503121098} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1546.0 | 52564 | 3.1951          | {'f1': 0.843650287172942}  | {'accuracy': 0.7651006711409396} |
| 0.0           | 1547.0 | 52598 | 3.1803          | {'f1': 0.8427109974424553} | {'accuracy': 0.7641418983700863} |
| 0.0           | 1548.0 | 52632 | 3.1809          | {'f1': 0.8427109974424553} | {'accuracy': 0.7641418983700863} |
| 0.0           | 1549.0 | 52666 | 3.1814          | {'f1': 0.8427109974424553} | {'accuracy': 0.7641418983700863} |
| 0.0           | 1550.0 | 52700 | 3.1818          | {'f1': 0.8427109974424553} | {'accuracy': 0.7641418983700863} |
| 0.0           | 1551.0 | 52734 | 3.1857          | {'f1': 0.8434504792332268} | {'accuracy': 0.7651006711409396} |
| 0.0           | 1552.0 | 52768 | 3.5203          | {'f1': 0.8395820528580209} | {'accuracy': 0.7497603068072867} |
| 0.0           | 1553.0 | 52802 | 3.6158          | {'f1': 0.8366972477064221} | {'accuracy': 0.7440076701821668} |
| 0.0           | 1554.0 | 52836 | 3.4598          | {'f1': 0.8384710234278668} | {'accuracy': 0.7488015340364333} |
| 0.0           | 1555.0 | 52870 | 3.1748          | {'f1': 0.8405063291139242} | {'accuracy': 0.7583892617449665} |
| 0.0           | 1556.0 | 52904 | 3.0995          | {'f1': 0.8396651641983257} | {'accuracy': 0.7612655800575263} |
| 0.0           | 1557.0 | 52938 | 3.0600          | {'f1': 0.8412802090137166} | {'accuracy': 0.7670182166826462} |
| 0.0           | 1558.0 | 52972 | 3.1169          | {'f1': 0.839871382636656}  | {'accuracy': 0.7612655800575263} |
| 0.0012        | 1559.0 | 53006 | 3.1407          | {'f1': 0.8402822322001283} | {'accuracy': 0.7612655800575263} |
| 0.0012        | 1560.0 | 53040 | 3.1418          | {'f1': 0.8402822322001283} | {'accuracy': 0.7612655800575263} |
| 0.0012        | 1561.0 | 53074 | 3.1431          | {'f1': 0.8402822322001283} | {'accuracy': 0.7612655800575263} |
| 0.0012        | 1562.0 | 53108 | 3.1438          | {'f1': 0.8412291933418694} | {'accuracy': 0.7622243528283796} |
| 0.0012        | 1563.0 | 53142 | 3.1443          | {'f1': 0.8412291933418694} | {'accuracy': 0.7622243528283796} |
| 0.0012        | 1564.0 | 53176 | 3.1461          | {'f1': 0.8406909788867563} | {'accuracy': 0.7612655800575263} |
| 0.0012        | 1565.0 | 53210 | 3.1464          | {'f1': 0.8406909788867563} | {'accuracy': 0.7612655800575263} |
| 0.0012        | 1566.0 | 53244 | 3.1469          | {'f1': 0.8406909788867563} | {'accuracy': 0.7612655800575263} |
| 0.0012        | 1567.0 | 53278 | 3.1273          | {'f1': 0.8400770712909442} | {'accuracy': 0.7612655800575263} |
| 0.0012        | 1568.0 | 53312 | 2.9980          | {'f1': 0.8336646785950961} | {'accuracy': 0.7593480345158198} |
| 0.0012        | 1569.0 | 53346 | 3.0979          | {'f1': 0.841025641025641}  | {'accuracy': 0.7622243528283796} |
| 0.0012        | 1570.0 | 53380 | 3.1300          | {'f1': 0.839568801521877}  | {'accuracy': 0.7574304889741131} |
| 0.0012        | 1571.0 | 53414 | 3.1323          | {'f1': 0.839568801521877}  | {'accuracy': 0.7574304889741131} |
| 0.0012        | 1572.0 | 53448 | 3.1325          | {'f1': 0.839568801521877}  | {'accuracy': 0.7574304889741131} |
| 0.0012        | 1573.0 | 53482 | 3.1326          | {'f1': 0.839568801521877}  | {'accuracy': 0.7574304889741131} |
| 0.0024        | 1574.0 | 53516 | 3.1328          | {'f1': 0.839568801521877}  | {'accuracy': 0.7574304889741131} |
| 0.0024        | 1575.0 | 53550 | 3.1334          | {'f1': 0.839568801521877}  | {'accuracy': 0.7574304889741131} |
| 0.0024        | 1576.0 | 53584 | 3.1338          | {'f1': 0.839568801521877}  | {'accuracy': 0.7574304889741131} |
| 0.0024        | 1577.0 | 53618 | 3.1342          | {'f1': 0.839568801521877}  | {'accuracy': 0.7574304889741131} |
| 0.0024        | 1578.0 | 53652 | 3.1342          | {'f1': 0.839568801521877}  | {'accuracy': 0.7574304889741131} |
| 0.0024        | 1579.0 | 53686 | 3.1350          | {'f1': 0.839568801521877}  | {'accuracy': 0.7574304889741131} |
| 0.0024        | 1580.0 | 53720 | 3.1354          | {'f1': 0.839568801521877}  | {'accuracy': 0.7574304889741131} |
| 0.0024        | 1581.0 | 53754 | 3.1357          | {'f1': 0.839568801521877}  | {'accuracy': 0.7574304889741131} |
| 0.0024        | 1582.0 | 53788 | 3.1360          | {'f1': 0.839568801521877}  | {'accuracy': 0.7574304889741131} |
| 0.0024        | 1583.0 | 53822 | 3.1362          | {'f1': 0.839568801521877}  | {'accuracy': 0.7574304889741131} |
| 0.0024        | 1584.0 | 53856 | 3.1366          | {'f1': 0.839568801521877}  | {'accuracy': 0.7574304889741131} |
| 0.0024        | 1585.0 | 53890 | 3.1372          | {'f1': 0.839568801521877}  | {'accuracy': 0.7574304889741131} |
| 0.0024        | 1586.0 | 53924 | 3.1374          | {'f1': 0.839568801521877}  | {'accuracy': 0.7574304889741131} |
| 0.0024        | 1587.0 | 53958 | 3.1378          | {'f1': 0.839568801521877}  | {'accuracy': 0.7574304889741131} |
| 0.0024        | 1588.0 | 53992 | 3.1384          | {'f1': 0.8390367553865652} | {'accuracy': 0.7564717162032598} |
| 0.0           | 1589.0 | 54026 | 3.1388          | {'f1': 0.8390367553865652} | {'accuracy': 0.7564717162032598} |
| 0.0           | 1590.0 | 54060 | 3.1392          | {'f1': 0.8390367553865652} | {'accuracy': 0.7564717162032598} |
| 0.0           | 1591.0 | 54094 | 3.1401          | {'f1': 0.8390367553865652} | {'accuracy': 0.7564717162032598} |
| 0.0           | 1592.0 | 54128 | 3.1417          | {'f1': 0.8390367553865652} | {'accuracy': 0.7564717162032598} |
| 0.0           | 1593.0 | 54162 | 3.2202          | {'f1': 0.8404522613065327} | {'accuracy': 0.7564717162032598} |
| 0.0           | 1594.0 | 54196 | 3.2302          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1595.0 | 54230 | 3.2304          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1596.0 | 54264 | 3.2310          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1597.0 | 54298 | 3.2315          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1598.0 | 54332 | 3.2326          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1599.0 | 54366 | 3.2334          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1600.0 | 54400 | 3.2338          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1601.0 | 54434 | 3.2342          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1602.0 | 54468 | 3.2349          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1603.0 | 54502 | 3.2352          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1604.0 | 54536 | 3.2374          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1605.0 | 54570 | 3.2378          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1606.0 | 54604 | 3.2380          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1607.0 | 54638 | 3.2382          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1608.0 | 54672 | 3.2382          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1609.0 | 54706 | 3.2384          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1610.0 | 54740 | 3.2387          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1611.0 | 54774 | 3.2390          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1612.0 | 54808 | 3.2393          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1613.0 | 54842 | 3.2396          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1614.0 | 54876 | 3.2399          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1615.0 | 54910 | 3.2400          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1616.0 | 54944 | 3.2408          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1617.0 | 54978 | 3.2421          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1618.0 | 55012 | 3.2423          | {'f1': 0.8411801632140615} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1619.0 | 55046 | 3.2770          | {'f1': 0.8408521303258145} | {'accuracy': 0.7564717162032598} |
| 0.0           | 1620.0 | 55080 | 3.2857          | {'f1': 0.84125}            | {'accuracy': 0.7564717162032598} |
| 0.0           | 1621.0 | 55114 | 3.2874          | {'f1': 0.84125}            | {'accuracy': 0.7564717162032598} |
| 0.0           | 1622.0 | 55148 | 3.2880          | {'f1': 0.84125}            | {'accuracy': 0.7564717162032598} |
| 0.0           | 1623.0 | 55182 | 3.2884          | {'f1': 0.84125}            | {'accuracy': 0.7564717162032598} |
| 0.0           | 1624.0 | 55216 | 3.2886          | {'f1': 0.84125}            | {'accuracy': 0.7564717162032598} |
| 0.0           | 1625.0 | 55250 | 3.2892          | {'f1': 0.84125}            | {'accuracy': 0.7564717162032598} |
| 0.0           | 1626.0 | 55284 | 3.2913          | {'f1': 0.84125}            | {'accuracy': 0.7564717162032598} |
| 0.0           | 1627.0 | 55318 | 3.2924          | {'f1': 0.8407245471580262} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1628.0 | 55352 | 3.2927          | {'f1': 0.8407245471580262} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1629.0 | 55386 | 3.2930          | {'f1': 0.8407245471580262} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1630.0 | 55420 | 3.2934          | {'f1': 0.8407245471580262} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1631.0 | 55454 | 3.2925          | {'f1': 0.84125}            | {'accuracy': 0.7564717162032598} |
| 0.0           | 1632.0 | 55488 | 3.2925          | {'f1': 0.84125}            | {'accuracy': 0.7564717162032598} |
| 0.0           | 1633.0 | 55522 | 3.2927          | {'f1': 0.84125}            | {'accuracy': 0.7564717162032598} |
| 0.0           | 1634.0 | 55556 | 3.2951          | {'f1': 0.84125}            | {'accuracy': 0.7564717162032598} |
| 0.0           | 1635.0 | 55590 | 3.2958          | {'f1': 0.84125}            | {'accuracy': 0.7564717162032598} |
| 0.0           | 1636.0 | 55624 | 3.2946          | {'f1': 0.84125}            | {'accuracy': 0.7564717162032598} |
| 0.0           | 1637.0 | 55658 | 3.2949          | {'f1': 0.84125}            | {'accuracy': 0.7564717162032598} |
| 0.0           | 1638.0 | 55692 | 3.2957          | {'f1': 0.84125}            | {'accuracy': 0.7564717162032598} |
| 0.0           | 1639.0 | 55726 | 3.2971          | {'f1': 0.84125}            | {'accuracy': 0.7564717162032598} |
| 0.0           | 1640.0 | 55760 | 3.2154          | {'f1': 0.8405797101449275} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1641.0 | 55794 | 3.2130          | {'f1': 0.8405797101449275} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1642.0 | 55828 | 3.2133          | {'f1': 0.8405797101449275} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1643.0 | 55862 | 3.2135          | {'f1': 0.8405797101449275} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1644.0 | 55896 | 3.2145          | {'f1': 0.8405797101449275} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1645.0 | 55930 | 3.2152          | {'f1': 0.8405797101449275} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1646.0 | 55964 | 3.2158          | {'f1': 0.8405797101449275} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1647.0 | 55998 | 3.2162          | {'f1': 0.8405797101449275} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1648.0 | 56032 | 3.2222          | {'f1': 0.8405797101449275} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1649.0 | 56066 | 3.2236          | {'f1': 0.8405797101449275} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1650.0 | 56100 | 3.2241          | {'f1': 0.8405797101449275} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1651.0 | 56134 | 3.2254          | {'f1': 0.8405797101449275} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1652.0 | 56168 | 3.2259          | {'f1': 0.8405797101449275} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1653.0 | 56202 | 3.2264          | {'f1': 0.8405797101449275} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1654.0 | 56236 | 3.3787          | {'f1': 0.8404717566728741} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1655.0 | 56270 | 3.5560          | {'f1': 0.8366972477064221} | {'accuracy': 0.7440076701821668} |
| 0.0           | 1656.0 | 56304 | 3.2787          | {'f1': 0.8409805153991201} | {'accuracy': 0.7574304889741131} |
| 0.0           | 1657.0 | 56338 | 3.2719          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0           | 1658.0 | 56372 | 3.2716          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0           | 1659.0 | 56406 | 3.2721          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0           | 1660.0 | 56440 | 3.2724          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0           | 1661.0 | 56474 | 3.2726          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0002        | 1662.0 | 56508 | 3.2729          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0002        | 1663.0 | 56542 | 3.2732          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0002        | 1664.0 | 56576 | 3.2736          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0002        | 1665.0 | 56610 | 3.2741          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0002        | 1666.0 | 56644 | 3.2740          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0002        | 1667.0 | 56678 | 3.2746          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0002        | 1668.0 | 56712 | 3.2748          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0002        | 1669.0 | 56746 | 3.2750          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0002        | 1670.0 | 56780 | 3.2758          | {'f1': 0.84078036500944}   | {'accuracy': 0.7574304889741131} |
| 0.0002        | 1671.0 | 56814 | 3.2817          | {'f1': 0.8409805153991201} | {'accuracy': 0.7574304889741131} |
| 0.0002        | 1672.0 | 56848 | 3.2835          | {'f1': 0.8409805153991201} | {'accuracy': 0.7574304889741131} |
| 0.0002        | 1673.0 | 56882 | 3.5116          | {'f1': 0.8350705088902514} | {'accuracy': 0.7420901246404602} |
| 0.0002        | 1674.0 | 56916 | 3.6489          | {'f1': 0.8350578210590383} | {'accuracy': 0.7401725790987536} |
| 0.0002        | 1675.0 | 56950 | 3.6522          | {'f1': 0.8350578210590383} | {'accuracy': 0.7401725790987536} |
| 0.0002        | 1676.0 | 56984 | 3.6524          | {'f1': 0.8350578210590383} | {'accuracy': 0.7401725790987536} |
| 0.001         | 1677.0 | 57018 | 3.2075          | {'f1': 0.8366179275270186} | {'accuracy': 0.7535953978907}    |
| 0.001         | 1678.0 | 57052 | 3.1894          | {'f1': 0.8372686662412252} | {'accuracy': 0.7555129434324065} |
| 0.001         | 1679.0 | 57086 | 3.1911          | {'f1': 0.8372686662412252} | {'accuracy': 0.7555129434324065} |
| 0.001         | 1680.0 | 57120 | 3.1913          | {'f1': 0.8372686662412252} | {'accuracy': 0.7555129434324065} |
| 0.001         | 1681.0 | 57154 | 3.1916          | {'f1': 0.8372686662412252} | {'accuracy': 0.7555129434324065} |
| 0.001         | 1682.0 | 57188 | 3.1919          | {'f1': 0.8372686662412252} | {'accuracy': 0.7555129434324065} |
| 0.001         | 1683.0 | 57222 | 3.3888          | {'f1': 0.8342644320297952} | {'accuracy': 0.7440076701821668} |
| 0.001         | 1684.0 | 57256 | 3.4412          | {'f1': 0.8348794063079776} | {'accuracy': 0.7440076701821668} |
| 0.001         | 1685.0 | 57290 | 3.4428          | {'f1': 0.8348794063079776} | {'accuracy': 0.7440076701821668} |
| 0.001         | 1686.0 | 57324 | 3.3052          | {'f1': 0.8374136848713121} | {'accuracy': 0.7516778523489933} |
| 0.001         | 1687.0 | 57358 | 3.2888          | {'f1': 0.8389937106918239} | {'accuracy': 0.7545541706615532} |
| 0.001         | 1688.0 | 57392 | 3.2888          | {'f1': 0.8389937106918239} | {'accuracy': 0.7545541706615532} |
| 0.001         | 1689.0 | 57426 | 3.2895          | {'f1': 0.8389937106918239} | {'accuracy': 0.7545541706615532} |
| 0.001         | 1690.0 | 57460 | 3.2896          | {'f1': 0.8389937106918239} | {'accuracy': 0.7545541706615532} |
| 0.001         | 1691.0 | 57494 | 3.2899          | {'f1': 0.8389937106918239} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1692.0 | 57528 | 3.2901          | {'f1': 0.8389937106918239} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1693.0 | 57562 | 3.2902          | {'f1': 0.8389937106918239} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1694.0 | 57596 | 3.2904          | {'f1': 0.8389937106918239} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1695.0 | 57630 | 3.2905          | {'f1': 0.8389937106918239} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1696.0 | 57664 | 3.2902          | {'f1': 0.8389937106918239} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1697.0 | 57698 | 3.2904          | {'f1': 0.8389937106918239} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1698.0 | 57732 | 3.2906          | {'f1': 0.8389937106918239} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1699.0 | 57766 | 3.2909          | {'f1': 0.8389937106918239} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1700.0 | 57800 | 3.2914          | {'f1': 0.8389937106918239} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1701.0 | 57834 | 3.2920          | {'f1': 0.8389937106918239} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1702.0 | 57868 | 3.2922          | {'f1': 0.8389937106918239} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1703.0 | 57902 | 3.2924          | {'f1': 0.8389937106918239} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1704.0 | 57936 | 3.2926          | {'f1': 0.8389937106918239} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1705.0 | 57970 | 3.2928          | {'f1': 0.8389937106918239} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1706.0 | 58004 | 3.2931          | {'f1': 0.8389937106918239} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1707.0 | 58038 | 3.2933          | {'f1': 0.8389937106918239} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1708.0 | 58072 | 3.4850          | {'f1': 0.8358024691358025} | {'accuracy': 0.7449664429530202} |
| 0.0           | 1709.0 | 58106 | 3.5404          | {'f1': 0.8390663390663391} | {'accuracy': 0.7488015340364333} |
| 0.0           | 1710.0 | 58140 | 3.5419          | {'f1': 0.8390663390663391} | {'accuracy': 0.7488015340364333} |
| 0.0           | 1711.0 | 58174 | 3.5419          | {'f1': 0.8390663390663391} | {'accuracy': 0.7488015340364333} |
| 0.0           | 1712.0 | 58208 | 3.5420          | {'f1': 0.8390663390663391} | {'accuracy': 0.7488015340364333} |
| 0.0           | 1713.0 | 58242 | 3.5419          | {'f1': 0.8390663390663391} | {'accuracy': 0.7488015340364333} |
| 0.0           | 1714.0 | 58276 | 3.5354          | {'f1': 0.8383527965580824} | {'accuracy': 0.74784276126558}   |
| 0.0           | 1715.0 | 58310 | 3.5339          | {'f1': 0.8383527965580824} | {'accuracy': 0.74784276126558}   |
| 0.0           | 1716.0 | 58344 | 3.5338          | {'f1': 0.8383527965580824} | {'accuracy': 0.74784276126558}   |
| 0.0           | 1717.0 | 58378 | 3.5339          | {'f1': 0.8383527965580824} | {'accuracy': 0.74784276126558}   |
| 0.0           | 1718.0 | 58412 | 3.5344          | {'f1': 0.8383527965580824} | {'accuracy': 0.74784276126558}   |
| 0.0           | 1719.0 | 58446 | 3.5343          | {'f1': 0.8383527965580824} | {'accuracy': 0.74784276126558}   |
| 0.0           | 1720.0 | 58480 | 3.5345          | {'f1': 0.8383527965580824} | {'accuracy': 0.74784276126558}   |
| 0.0           | 1721.0 | 58514 | 3.5346          | {'f1': 0.8383527965580824} | {'accuracy': 0.74784276126558}   |
| 0.0           | 1722.0 | 58548 | 3.2877          | {'f1': 0.8380592312539382} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1723.0 | 58582 | 3.2489          | {'f1': 0.8366179275270186} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1724.0 | 58616 | 3.2485          | {'f1': 0.8366179275270186} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1725.0 | 58650 | 3.2488          | {'f1': 0.8366179275270186} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1726.0 | 58684 | 3.2495          | {'f1': 0.8366179275270186} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1727.0 | 58718 | 3.2502          | {'f1': 0.8366179275270186} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1728.0 | 58752 | 3.2505          | {'f1': 0.8366179275270186} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1729.0 | 58786 | 3.2512          | {'f1': 0.8366179275270186} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1730.0 | 58820 | 3.2878          | {'f1': 0.8385876418663304} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1731.0 | 58854 | 3.3391          | {'f1': 0.8365685660613651} | {'accuracy': 0.7497603068072867} |
| 0.0           | 1732.0 | 58888 | 3.3829          | {'f1': 0.8346849656893326} | {'accuracy': 0.7459252157238735} |
| 0.0           | 1733.0 | 58922 | 3.3845          | {'f1': 0.8346849656893326} | {'accuracy': 0.7459252157238735} |
| 0.0           | 1734.0 | 58956 | 3.3850          | {'f1': 0.8346849656893326} | {'accuracy': 0.7459252157238735} |
| 0.0           | 1735.0 | 58990 | 3.3997          | {'f1': 0.8348909657320873} | {'accuracy': 0.7459252157238735} |
| 0.0005        | 1736.0 | 59024 | 3.4004          | {'f1': 0.8348909657320873} | {'accuracy': 0.7459252157238735} |
| 0.0005        | 1737.0 | 59058 | 3.4007          | {'f1': 0.8348909657320873} | {'accuracy': 0.7459252157238735} |
| 0.0005        | 1738.0 | 59092 | 3.4010          | {'f1': 0.8348909657320873} | {'accuracy': 0.7459252157238735} |
| 0.0005        | 1739.0 | 59126 | 3.4012          | {'f1': 0.8348909657320873} | {'accuracy': 0.7459252157238735} |
| 0.0005        | 1740.0 | 59160 | 3.4014          | {'f1': 0.8348909657320873} | {'accuracy': 0.7459252157238735} |
| 0.0005        | 1741.0 | 59194 | 3.4016          | {'f1': 0.8348909657320873} | {'accuracy': 0.7459252157238735} |
| 0.0005        | 1742.0 | 59228 | 3.4018          | {'f1': 0.8348909657320873} | {'accuracy': 0.7459252157238735} |
| 0.0005        | 1743.0 | 59262 | 3.4020          | {'f1': 0.8348909657320873} | {'accuracy': 0.7459252157238735} |
| 0.0005        | 1744.0 | 59296 | 3.4018          | {'f1': 0.8348909657320873} | {'accuracy': 0.7459252157238735} |
| 0.0005        | 1745.0 | 59330 | 3.4020          | {'f1': 0.8348909657320873} | {'accuracy': 0.7459252157238735} |
| 0.0005        | 1746.0 | 59364 | 3.4022          | {'f1': 0.8348909657320873} | {'accuracy': 0.7459252157238735} |
| 0.0005        | 1747.0 | 59398 | 3.4678          | {'f1': 0.8371517027863778} | {'accuracy': 0.74784276126558}   |
| 0.0005        | 1748.0 | 59432 | 3.4849          | {'f1': 0.8387893761581224} | {'accuracy': 0.7497603068072867} |
| 0.0005        | 1749.0 | 59466 | 3.4854          | {'f1': 0.8387893761581224} | {'accuracy': 0.7497603068072867} |
| 0.0           | 1750.0 | 59500 | 3.4857          | {'f1': 0.8387893761581224} | {'accuracy': 0.7497603068072867} |
| 0.0           | 1751.0 | 59534 | 3.4858          | {'f1': 0.8387893761581224} | {'accuracy': 0.7497603068072867} |
| 0.0           | 1752.0 | 59568 | 3.4860          | {'f1': 0.8387893761581224} | {'accuracy': 0.7497603068072867} |
| 0.0           | 1753.0 | 59602 | 3.4860          | {'f1': 0.8387893761581224} | {'accuracy': 0.7497603068072867} |
| 0.0           | 1754.0 | 59636 | 3.4866          | {'f1': 0.8387893761581224} | {'accuracy': 0.7497603068072867} |
| 0.0           | 1755.0 | 59670 | 3.4867          | {'f1': 0.8387893761581224} | {'accuracy': 0.7497603068072867} |
| 0.0           | 1756.0 | 59704 | 3.4869          | {'f1': 0.8387893761581224} | {'accuracy': 0.7497603068072867} |
| 0.0           | 1757.0 | 59738 | 3.4871          | {'f1': 0.8387893761581224} | {'accuracy': 0.7497603068072867} |
| 0.0           | 1758.0 | 59772 | 3.4873          | {'f1': 0.8387893761581224} | {'accuracy': 0.7497603068072867} |
| 0.0           | 1759.0 | 59806 | 3.4874          | {'f1': 0.8387893761581224} | {'accuracy': 0.7497603068072867} |
| 0.0           | 1760.0 | 59840 | 3.4877          | {'f1': 0.8387893761581224} | {'accuracy': 0.7497603068072867} |
| 0.0           | 1761.0 | 59874 | 3.7082          | {'f1': 0.835965978128797}  | {'accuracy': 0.7411313518696069} |
| 0.0           | 1762.0 | 59908 | 3.8132          | {'f1': 0.8304164152082076} | {'accuracy': 0.7305848513902206} |
| 0.0           | 1763.0 | 59942 | 3.8065          | {'f1': 0.8304164152082076} | {'accuracy': 0.7305848513902206} |
| 0.0           | 1764.0 | 59976 | 3.8057          | {'f1': 0.8309178743961353} | {'accuracy': 0.7315436241610739} |
| 0.0           | 1765.0 | 60010 | 3.8056          | {'f1': 0.8309178743961353} | {'accuracy': 0.7315436241610739} |
| 0.0           | 1766.0 | 60044 | 3.8055          | {'f1': 0.8309178743961353} | {'accuracy': 0.7315436241610739} |
| 0.0           | 1767.0 | 60078 | 3.6801          | {'f1': 0.8374923919659158} | {'accuracy': 0.7440076701821668} |
| 0.0           | 1768.0 | 60112 | 3.6579          | {'f1': 0.8367844092570037} | {'accuracy': 0.7430488974113135} |
| 0.0           | 1769.0 | 60146 | 3.6572          | {'f1': 0.8372943327239487} | {'accuracy': 0.7440076701821668} |
| 0.0           | 1770.0 | 60180 | 3.4614          | {'f1': 0.8387096774193548} | {'accuracy': 0.75071907957814}   |
| 0.0           | 1771.0 | 60214 | 3.4396          | {'f1': 0.836341008089608}  | {'accuracy': 0.74784276126558}   |
| 0.0           | 1772.0 | 60248 | 3.4393          | {'f1': 0.836341008089608}  | {'accuracy': 0.74784276126558}   |
| 0.0           | 1773.0 | 60282 | 3.3123          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1774.0 | 60316 | 3.3044          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1775.0 | 60350 | 3.3044          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1776.0 | 60384 | 3.3047          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1777.0 | 60418 | 3.3048          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1778.0 | 60452 | 3.3049          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1779.0 | 60486 | 3.3052          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1780.0 | 60520 | 3.3054          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1781.0 | 60554 | 3.3056          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1782.0 | 60588 | 3.3062          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1783.0 | 60622 | 3.3064          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1784.0 | 60656 | 3.3066          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1785.0 | 60690 | 3.3067          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1786.0 | 60724 | 3.3069          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1787.0 | 60758 | 3.3072          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1788.0 | 60792 | 3.3079          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1789.0 | 60826 | 3.3086          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1790.0 | 60860 | 3.3093          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1791.0 | 60894 | 3.3095          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1792.0 | 60928 | 3.3098          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1793.0 | 60962 | 3.3100          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1794.0 | 60996 | 3.3104          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1795.0 | 61030 | 3.3126          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1796.0 | 61064 | 3.3128          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1797.0 | 61098 | 3.3133          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1798.0 | 61132 | 3.3143          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1799.0 | 61166 | 3.3151          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1800.0 | 61200 | 3.3154          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1801.0 | 61234 | 3.3171          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1802.0 | 61268 | 3.3175          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1803.0 | 61302 | 3.3175          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1804.0 | 61336 | 3.3776          | {'f1': 0.8393194706994328} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1805.0 | 61370 | 3.5318          | {'f1': 0.8391089108910891} | {'accuracy': 0.75071907957814}   |
| 0.0           | 1806.0 | 61404 | 3.5371          | {'f1': 0.8391089108910891} | {'accuracy': 0.75071907957814}   |
| 0.0           | 1807.0 | 61438 | 3.5401          | {'f1': 0.8385899814471244} | {'accuracy': 0.7497603068072867} |
| 0.0           | 1808.0 | 61472 | 3.5405          | {'f1': 0.8385899814471244} | {'accuracy': 0.7497603068072867} |
| 0.0           | 1809.0 | 61506 | 3.5389          | {'f1': 0.8391089108910891} | {'accuracy': 0.75071907957814}   |
| 0.0           | 1810.0 | 61540 | 3.5389          | {'f1': 0.8391089108910891} | {'accuracy': 0.75071907957814}   |
| 0.0           | 1811.0 | 61574 | 3.5391          | {'f1': 0.8391089108910891} | {'accuracy': 0.75071907957814}   |
| 0.0           | 1812.0 | 61608 | 3.4608          | {'f1': 0.8371802869619464} | {'accuracy': 0.7497603068072867} |
| 0.0           | 1813.0 | 61642 | 3.4160          | {'f1': 0.8381430363864492} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1814.0 | 61676 | 3.4151          | {'f1': 0.8381430363864492} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1815.0 | 61710 | 3.4151          | {'f1': 0.8381430363864492} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1816.0 | 61744 | 3.4154          | {'f1': 0.8381430363864492} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1817.0 | 61778 | 3.4155          | {'f1': 0.8381430363864492} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1818.0 | 61812 | 3.4156          | {'f1': 0.8381430363864492} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1819.0 | 61846 | 3.4113          | {'f1': 0.8381430363864492} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1820.0 | 61880 | 3.4103          | {'f1': 0.8381430363864492} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1821.0 | 61914 | 3.4104          | {'f1': 0.8381430363864492} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1822.0 | 61948 | 3.4108          | {'f1': 0.8381430363864492} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1823.0 | 61982 | 3.4110          | {'f1': 0.8381430363864492} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1824.0 | 62016 | 3.4112          | {'f1': 0.8381430363864492} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1825.0 | 62050 | 3.4113          | {'f1': 0.8381430363864492} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1826.0 | 62084 | 3.4116          | {'f1': 0.8381430363864492} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1827.0 | 62118 | 3.4117          | {'f1': 0.8381430363864492} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1828.0 | 62152 | 3.4123          | {'f1': 0.8381430363864492} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1829.0 | 62186 | 3.4214          | {'f1': 0.8381430363864492} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1830.0 | 62220 | 3.4287          | {'f1': 0.8381430363864492} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1831.0 | 62254 | 3.4340          | {'f1': 0.8383458646616541} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1832.0 | 62288 | 3.4342          | {'f1': 0.8383458646616541} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1833.0 | 62322 | 3.4344          | {'f1': 0.8383458646616541} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1834.0 | 62356 | 3.4379          | {'f1': 0.8383458646616541} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1835.0 | 62390 | 3.4397          | {'f1': 0.8383458646616541} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1836.0 | 62424 | 3.4400          | {'f1': 0.8383458646616541} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1837.0 | 62458 | 3.4401          | {'f1': 0.8383458646616541} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1838.0 | 62492 | 3.4403          | {'f1': 0.8383458646616541} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1839.0 | 62526 | 3.4404          | {'f1': 0.8383458646616541} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1840.0 | 62560 | 3.4406          | {'f1': 0.8383458646616541} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1841.0 | 62594 | 3.4408          | {'f1': 0.8383458646616541} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1842.0 | 62628 | 3.4409          | {'f1': 0.8383458646616541} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1843.0 | 62662 | 3.4411          | {'f1': 0.8383458646616541} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1844.0 | 62696 | 3.4414          | {'f1': 0.8383458646616541} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1845.0 | 62730 | 3.4415          | {'f1': 0.8383458646616541} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1846.0 | 62764 | 3.4417          | {'f1': 0.8383458646616541} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1847.0 | 62798 | 3.4418          | {'f1': 0.8383458646616541} | {'accuracy': 0.7526366251198466} |
| 0.0           | 1848.0 | 62832 | 3.4457          | {'f1': 0.8378209142141516} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1849.0 | 62866 | 3.4466          | {'f1': 0.8378209142141516} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1850.0 | 62900 | 3.4468          | {'f1': 0.8378209142141516} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1851.0 | 62934 | 3.4470          | {'f1': 0.8378209142141516} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1852.0 | 62968 | 3.4479          | {'f1': 0.8378209142141516} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1853.0 | 63002 | 3.4482          | {'f1': 0.8378209142141516} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1854.0 | 63036 | 3.4515          | {'f1': 0.8378209142141516} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1855.0 | 63070 | 3.4533          | {'f1': 0.8378209142141516} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1856.0 | 63104 | 3.4535          | {'f1': 0.8378209142141516} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1857.0 | 63138 | 3.4537          | {'f1': 0.8378209142141516} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1858.0 | 63172 | 3.4539          | {'f1': 0.8378209142141516} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1859.0 | 63206 | 3.4541          | {'f1': 0.8378209142141516} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1860.0 | 63240 | 3.4544          | {'f1': 0.8378209142141516} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1861.0 | 63274 | 3.4546          | {'f1': 0.8378209142141516} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1862.0 | 63308 | 3.4841          | {'f1': 0.8380237648530332} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1863.0 | 63342 | 3.4893          | {'f1': 0.8380237648530332} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1864.0 | 63376 | 3.4897          | {'f1': 0.8380237648530332} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1865.0 | 63410 | 3.4900          | {'f1': 0.8380237648530332} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1866.0 | 63444 | 3.4905          | {'f1': 0.8380237648530332} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1867.0 | 63478 | 3.4906          | {'f1': 0.8380237648530332} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1868.0 | 63512 | 3.4908          | {'f1': 0.8380237648530332} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1869.0 | 63546 | 3.4910          | {'f1': 0.8380237648530332} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1870.0 | 63580 | 3.4914          | {'f1': 0.8380237648530332} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1871.0 | 63614 | 3.4916          | {'f1': 0.8380237648530332} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1872.0 | 63648 | 3.4918          | {'f1': 0.8380237648530332} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1873.0 | 63682 | 3.4920          | {'f1': 0.8380237648530332} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1874.0 | 63716 | 3.4922          | {'f1': 0.8380237648530332} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1875.0 | 63750 | 3.4926          | {'f1': 0.8380237648530332} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1876.0 | 63784 | 3.4936          | {'f1': 0.8380237648530332} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1877.0 | 63818 | 3.5059          | {'f1': 0.8375}             | {'accuracy': 0.75071907957814}   |
| 0.0           | 1878.0 | 63852 | 3.5066          | {'f1': 0.8382261086820737} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1879.0 | 63886 | 3.5068          | {'f1': 0.8382261086820737} | {'accuracy': 0.7516778523489933} |
| 0.0           | 1880.0 | 63920 | 3.5058          | {'f1': 0.8375}             | {'accuracy': 0.75071907957814}   |
| 0.0           | 1881.0 | 63954 | 3.5058          | {'f1': 0.8375}             | {'accuracy': 0.75071907957814}   |
| 0.0           | 1882.0 | 63988 | 3.4003          | {'f1': 0.8397720075997466} | {'accuracy': 0.7574304889741131} |
| 0.0001        | 1883.0 | 64022 | 3.3884          | {'f1': 0.8373570520965693} | {'accuracy': 0.7545541706615532} |
| 0.0001        | 1884.0 | 64056 | 3.3882          | {'f1': 0.8373570520965693} | {'accuracy': 0.7545541706615532} |
| 0.0001        | 1885.0 | 64090 | 3.3883          | {'f1': 0.8373570520965693} | {'accuracy': 0.7545541706615532} |
| 0.0001        | 1886.0 | 64124 | 3.3884          | {'f1': 0.8373570520965693} | {'accuracy': 0.7545541706615532} |
| 0.0001        | 1887.0 | 64158 | 3.3885          | {'f1': 0.8373570520965693} | {'accuracy': 0.7545541706615532} |
| 0.0001        | 1888.0 | 64192 | 3.3885          | {'f1': 0.8373570520965693} | {'accuracy': 0.7545541706615532} |
| 0.0001        | 1889.0 | 64226 | 3.3886          | {'f1': 0.8373570520965693} | {'accuracy': 0.7545541706615532} |
| 0.0001        | 1890.0 | 64260 | 3.3891          | {'f1': 0.8373570520965693} | {'accuracy': 0.7545541706615532} |
| 0.0001        | 1891.0 | 64294 | 3.3892          | {'f1': 0.8373570520965693} | {'accuracy': 0.7545541706615532} |
| 0.0001        | 1892.0 | 64328 | 3.3897          | {'f1': 0.8373570520965693} | {'accuracy': 0.7545541706615532} |
| 0.0001        | 1893.0 | 64362 | 3.3898          | {'f1': 0.8373570520965693} | {'accuracy': 0.7545541706615532} |
| 0.0001        | 1894.0 | 64396 | 3.3897          | {'f1': 0.8373570520965693} | {'accuracy': 0.7545541706615532} |
| 0.0001        | 1895.0 | 64430 | 3.3899          | {'f1': 0.8373570520965693} | {'accuracy': 0.7545541706615532} |
| 0.0001        | 1896.0 | 64464 | 3.3900          | {'f1': 0.8373570520965693} | {'accuracy': 0.7545541706615532} |
| 0.0001        | 1897.0 | 64498 | 3.3901          | {'f1': 0.8373570520965693} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1898.0 | 64532 | 3.3902          | {'f1': 0.8373570520965693} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1899.0 | 64566 | 3.3904          | {'f1': 0.8373570520965693} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1900.0 | 64600 | 3.3906          | {'f1': 0.8373570520965693} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1901.0 | 64634 | 3.4909          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1902.0 | 64668 | 3.4949          | {'f1': 0.8392745465916197} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1903.0 | 64702 | 3.4952          | {'f1': 0.8392745465916197} | {'accuracy': 0.7535953978907}    |
| 0.0           | 1904.0 | 64736 | 3.4926          | {'f1': 0.8397997496871088} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1905.0 | 64770 | 3.4924          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1906.0 | 64804 | 3.4926          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1907.0 | 64838 | 3.4927          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1908.0 | 64872 | 3.4928          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1909.0 | 64906 | 3.4928          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1910.0 | 64940 | 3.4929          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1911.0 | 64974 | 3.4930          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1912.0 | 65008 | 3.4932          | {'f1': 0.8397997496871088} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1913.0 | 65042 | 3.4933          | {'f1': 0.8397997496871088} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1914.0 | 65076 | 3.4934          | {'f1': 0.8397997496871088} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1915.0 | 65110 | 3.4935          | {'f1': 0.8397997496871088} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1916.0 | 65144 | 3.4935          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1917.0 | 65178 | 3.4935          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1918.0 | 65212 | 3.4936          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1919.0 | 65246 | 3.4938          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1920.0 | 65280 | 3.4939          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1921.0 | 65314 | 3.4940          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1922.0 | 65348 | 3.4941          | {'f1': 0.8397997496871088} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1923.0 | 65382 | 3.4942          | {'f1': 0.8397997496871088} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1924.0 | 65416 | 3.4942          | {'f1': 0.8397997496871088} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1925.0 | 65450 | 3.4943          | {'f1': 0.8397997496871088} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1926.0 | 65484 | 3.4944          | {'f1': 0.8397997496871088} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1927.0 | 65518 | 3.4945          | {'f1': 0.8397997496871088} | {'accuracy': 0.7545541706615532} |
| 0.0           | 1928.0 | 65552 | 3.4926          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1929.0 | 65586 | 3.4925          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1930.0 | 65620 | 3.4926          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1931.0 | 65654 | 3.4928          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1932.0 | 65688 | 3.4929          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1933.0 | 65722 | 3.4930          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1934.0 | 65756 | 3.4931          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1935.0 | 65790 | 3.4932          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1936.0 | 65824 | 3.4932          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1937.0 | 65858 | 3.4933          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1938.0 | 65892 | 3.4934          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1939.0 | 65926 | 3.4935          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1940.0 | 65960 | 3.4936          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1941.0 | 65994 | 3.4937          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1942.0 | 66028 | 3.4937          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1943.0 | 66062 | 3.4938          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1944.0 | 66096 | 3.4939          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1945.0 | 66130 | 3.4939          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1946.0 | 66164 | 3.4940          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1947.0 | 66198 | 3.4941          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1948.0 | 66232 | 3.4941          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1949.0 | 66266 | 3.4942          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1950.0 | 66300 | 3.4943          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1951.0 | 66334 | 3.4948          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1952.0 | 66368 | 3.4948          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1953.0 | 66402 | 3.4949          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1954.0 | 66436 | 3.4950          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1955.0 | 66470 | 3.4952          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1956.0 | 66504 | 3.4953          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1957.0 | 66538 | 3.4953          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1958.0 | 66572 | 3.4954          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1959.0 | 66606 | 3.4955          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1960.0 | 66640 | 3.4956          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1961.0 | 66674 | 3.4956          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1962.0 | 66708 | 3.4957          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1963.0 | 66742 | 3.4958          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1964.0 | 66776 | 3.4959          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1965.0 | 66810 | 3.4960          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1966.0 | 66844 | 3.4961          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1967.0 | 66878 | 3.4962          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1968.0 | 66912 | 3.4962          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1969.0 | 66946 | 3.4974          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0           | 1970.0 | 66980 | 3.4976          | {'f1': 0.8403256105197245} | {'accuracy': 0.7555129434324065} |
| 0.0011        | 1971.0 | 67014 | 3.4573          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0011        | 1972.0 | 67048 | 3.4534          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0011        | 1973.0 | 67082 | 3.4533          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0011        | 1974.0 | 67116 | 3.4534          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0011        | 1975.0 | 67150 | 3.4532          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0011        | 1976.0 | 67184 | 3.4532          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0011        | 1977.0 | 67218 | 3.4533          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0011        | 1978.0 | 67252 | 3.4533          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0011        | 1979.0 | 67286 | 3.4491          | {'f1': 0.8395217117684078} | {'accuracy': 0.7555129434324065} |
| 0.0011        | 1980.0 | 67320 | 3.4555          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0011        | 1981.0 | 67354 | 3.4592          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0011        | 1982.0 | 67388 | 3.4601          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0011        | 1983.0 | 67422 | 3.4602          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0011        | 1984.0 | 67456 | 3.4602          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0011        | 1985.0 | 67490 | 3.4602          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0001        | 1986.0 | 67524 | 3.4602          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0001        | 1987.0 | 67558 | 3.4602          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0001        | 1988.0 | 67592 | 3.4602          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0001        | 1989.0 | 67626 | 3.4602          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0001        | 1990.0 | 67660 | 3.4602          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0001        | 1991.0 | 67694 | 3.4602          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0001        | 1992.0 | 67728 | 3.4602          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0001        | 1993.0 | 67762 | 3.4602          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0001        | 1994.0 | 67796 | 3.4602          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0001        | 1995.0 | 67830 | 3.4602          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0001        | 1996.0 | 67864 | 3.4602          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0001        | 1997.0 | 67898 | 3.4602          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0001        | 1998.0 | 67932 | 3.4602          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0001        | 1999.0 | 67966 | 3.4602          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |
| 0.0           | 2000.0 | 68000 | 3.4602          | {'f1': 0.8391959798994975} | {'accuracy': 0.7545541706615532} |


### Framework versions

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