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_2138
  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_2138

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: 0.6182
- F1: {'f1': 0.8174603174603174}
- Accuracy: {'accuracy': 0.6912751677852349}

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2000

### Training results

| Training Loss | Epoch  | Step   | Validation Loss | F1                         | Accuracy                         |
|:-------------:|:------:|:------:|:---------------:|:--------------------------:|:--------------------------------:|
| No log        | 1.0    | 134    | 0.4918          | {'f1': 0.8520859671302149} | {'accuracy': 0.775647171620326}  |
| No log        | 2.0    | 268    | 0.5031          | {'f1': 0.8641655886157827} | {'accuracy': 0.7986577181208053} |
| No log        | 3.0    | 402    | 0.6099          | {'f1': 0.8589108910891089} | {'accuracy': 0.7813998082454459} |
| 0.4741        | 4.0    | 536    | 0.7132          | {'f1': 0.8497474747474748} | {'accuracy': 0.7718120805369127} |
| 0.4741        | 5.0    | 670    | 0.7420          | {'f1': 0.8461066830165542} | {'accuracy': 0.7593480345158198} |
| 0.4741        | 6.0    | 804    | 1.0876          | {'f1': 0.8503359804520464} | {'accuracy': 0.7651006711409396} |
| 0.4741        | 7.0    | 938    | 0.7154          | {'f1': 0.8500327439423706} | {'accuracy': 0.7804410354745925} |
| 0.2319        | 8.0    | 1072   | 0.6827          | {'f1': 0.8556566970091029} | {'accuracy': 0.7871524448705657} |
| 0.2319        | 9.0    | 1206   | 0.9771          | {'f1': 0.8565989847715736} | {'accuracy': 0.7833173537871524} |
| 0.2319        | 10.0   | 1340   | 0.7325          | {'f1': 0.8541014402003758} | {'accuracy': 0.7766059443911792} |
| 0.2319        | 11.0   | 1474   | 1.1385          | {'f1': 0.8593350383631713} | {'accuracy': 0.7890699904122723} |
| 0.1431        | 12.0   | 1608   | 1.3257          | {'f1': 0.861128725428028}  | {'accuracy': 0.7900287631831256} |
| 0.1431        | 13.0   | 1742   | 1.1232          | {'f1': 0.857516339869281}  | {'accuracy': 0.7909875359539789} |
| 0.1431        | 14.0   | 1876   | 1.0308          | {'f1': 0.8436886854153041} | {'accuracy': 0.7708533077660594} |
| 0.0971        | 15.0   | 2010   | 1.0437          | {'f1': 0.8602287166454892} | {'accuracy': 0.7890699904122723} |
| 0.0971        | 16.0   | 2144   | 0.9407          | {'f1': 0.8469318948078218} | {'accuracy': 0.7823585810162992} |
| 0.0971        | 17.0   | 2278   | 1.2419          | {'f1': 0.8521739130434782} | {'accuracy': 0.7718120805369127} |
| 0.0971        | 18.0   | 2412   | 0.9628          | {'f1': 0.8547557840616967} | {'accuracy': 0.7833173537871524} |
| 0.1019        | 19.0   | 2546   | 1.4245          | {'f1': 0.8535193405199747} | {'accuracy': 0.7785234899328859} |
| 0.1019        | 20.0   | 2680   | 1.3129          | {'f1': 0.8543046357615893} | {'accuracy': 0.7890699904122723} |
| 0.1019        | 21.0   | 2814   | 0.9733          | {'f1': 0.8517264725795531} | {'accuracy': 0.7900287631831256} |
| 0.1019        | 22.0   | 2948   | 1.3871          | {'f1': 0.8584415584415586} | {'accuracy': 0.7909875359539789} |
| 0.0885        | 23.0   | 3082   | 1.0680          | {'f1': 0.8411843876177658} | {'accuracy': 0.7737296260786194} |
| 0.0885        | 24.0   | 3216   | 0.9656          | {'f1': 0.8591639871382638} | {'accuracy': 0.7900287631831256} |
| 0.0885        | 25.0   | 3350   | 1.3420          | {'f1': 0.8609523809523809} | {'accuracy': 0.7900287631831256} |
| 0.0885        | 26.0   | 3484   | 1.3554          | {'f1': 0.8304256803907886} | {'accuracy': 0.7670182166826462} |
| 0.0896        | 27.0   | 3618   | 1.3181          | {'f1': 0.814498933901919}  | {'accuracy': 0.7497603068072867} |
| 0.0896        | 28.0   | 3752   | 1.1851          | {'f1': 0.8500635324015249} | {'accuracy': 0.7737296260786194} |
| 0.0896        | 29.0   | 3886   | 1.5420          | {'f1': 0.8514724711907811} | {'accuracy': 0.7775647171620326} |
| 0.0965        | 30.0   | 4020   | 1.0239          | {'f1': 0.8458498023715415} | {'accuracy': 0.775647171620326}  |
| 0.0965        | 31.0   | 4154   | 0.9101          | {'f1': 0.8524590163934426} | {'accuracy': 0.7842761265580057} |
| 0.0965        | 32.0   | 4288   | 1.4658          | {'f1': 0.852294154619736}  | {'accuracy': 0.7746883988494727} |
| 0.0965        | 33.0   | 4422   | 1.0554          | {'f1': 0.8542586750788642} | {'accuracy': 0.7785234899328859} |
| 0.0782        | 34.0   | 4556   | 1.4443          | {'f1': 0.847568988173456}  | {'accuracy': 0.7775647171620326} |
| 0.0782        | 35.0   | 4690   | 1.5294          | {'f1': 0.8567823343848581} | {'accuracy': 0.7823585810162992} |
| 0.0782        | 36.0   | 4824   | 1.5011          | {'f1': 0.8578745198463508} | {'accuracy': 0.7871524448705657} |
| 0.0782        | 37.0   | 4958   | 1.4975          | {'f1': 0.8635778635778636} | {'accuracy': 0.7967401725790988} |
| 0.0781        | 38.0   | 5092   | 1.7467          | {'f1': 0.8462046204620463} | {'accuracy': 0.7766059443911792} |
| 0.0781        | 39.0   | 5226   | 1.3414          | {'f1': 0.860759493670886}  | {'accuracy': 0.7890699904122723} |
| 0.0781        | 40.0   | 5360   | 1.3486          | {'f1': 0.8548082966687619} | {'accuracy': 0.7785234899328859} |
| 0.0781        | 41.0   | 5494   | 1.8240          | {'f1': 0.8645242596093259} | {'accuracy': 0.7938638542665388} |
| 0.0942        | 42.0   | 5628   | 1.5139          | {'f1': 0.8522072936660269} | {'accuracy': 0.7785234899328859} |
| 0.0942        | 43.0   | 5762   | 1.7029          | {'f1': 0.8451730418943533} | {'accuracy': 0.7555129434324065} |
| 0.0942        | 44.0   | 5896   | 1.0615          | {'f1': 0.8425987943737442} | {'accuracy': 0.7746883988494727} |
| 0.1001        | 45.0   | 6030   | 1.3853          | {'f1': 0.8426527958387516} | {'accuracy': 0.7679769894534996} |
| 0.1001        | 46.0   | 6164   | 1.2904          | {'f1': 0.8422425032594525} | {'accuracy': 0.7679769894534996} |
| 0.1001        | 47.0   | 6298   | 1.2764          | {'f1': 0.8495575221238938} | {'accuracy': 0.7718120805369127} |
| 0.1001        | 48.0   | 6432   | 1.4960          | {'f1': 0.8473091364205256} | {'accuracy': 0.7660594439117929} |
| 0.0769        | 49.0   | 6566   | 1.2106          | {'f1': 0.8447837150127226} | {'accuracy': 0.7660594439117929} |
| 0.0769        | 50.0   | 6700   | 1.3773          | {'f1': 0.831824062095731}  | {'accuracy': 0.75071907957814}   |
| 0.0769        | 51.0   | 6834   | 1.4270          | {'f1': 0.8468244084682441} | {'accuracy': 0.7641418983700863} |
| 0.0769        | 52.0   | 6968   | 1.7985          | {'f1': 0.839030453697949}  | {'accuracy': 0.7516778523489933} |
| 0.081         | 53.0   | 7102   | 1.5645          | {'f1': 0.8547770700636943} | {'accuracy': 0.7813998082454459} |
| 0.081         | 54.0   | 7236   | 1.4940          | {'f1': 0.8457446808510638} | {'accuracy': 0.7775647171620326} |
| 0.081         | 55.0   | 7370   | 1.5845          | {'f1': 0.8422391857506362} | {'accuracy': 0.7622243528283796} |
| 0.0696        | 56.0   | 7504   | 1.3814          | {'f1': 0.8484447385837195} | {'accuracy': 0.7804410354745925} |
| 0.0696        | 57.0   | 7638   | 1.6754          | {'f1': 0.8355555555555555} | {'accuracy': 0.7516778523489933} |
| 0.0696        | 58.0   | 7772   | 1.3783          | {'f1': 0.8349514563106797} | {'accuracy': 0.7555129434324065} |
| 0.0696        | 59.0   | 7906   | 1.8881          | {'f1': 0.8476903870162297} | {'accuracy': 0.7660594439117929} |
| 0.0826        | 60.0   | 8040   | 1.4491          | {'f1': 0.8455790784557908} | {'accuracy': 0.7622243528283796} |
| 0.0826        | 61.0   | 8174   | 0.7588          | {'f1': 0.839262187088274}  | {'accuracy': 0.7660594439117929} |
| 0.0826        | 62.0   | 8308   | 1.3588          | {'f1': 0.8484076433121019} | {'accuracy': 0.7718120805369127} |
| 0.0826        | 63.0   | 8442   | 1.5411          | {'f1': 0.8392511297611364} | {'accuracy': 0.7612655800575263} |
| 0.0803        | 64.0   | 8576   | 1.2588          | {'f1': 0.843308675184936}  | {'accuracy': 0.7766059443911792} |
| 0.0803        | 65.0   | 8710   | 1.1741          | {'f1': 0.8392370572207084} | {'accuracy': 0.7737296260786194} |
| 0.0803        | 66.0   | 8844   | 1.6998          | {'f1': 0.845016077170418}  | {'accuracy': 0.7689357622243528} |
| 0.0803        | 67.0   | 8978   | 1.2593          | {'f1': 0.8463949843260189} | {'accuracy': 0.7651006711409396} |
| 0.0734        | 68.0   | 9112   | 1.2837          | {'f1': 0.8431746031746032} | {'accuracy': 0.763183125599233}  |
| 0.0734        | 69.0   | 9246   | 1.6949          | {'f1': 0.8442728442728443} | {'accuracy': 0.7679769894534996} |
| 0.0734        | 70.0   | 9380   | 1.4406          | {'f1': 0.8373333333333333} | {'accuracy': 0.7660594439117929} |
| 0.062         | 71.0   | 9514   | 1.4289          | {'f1': 0.8375838926174496} | {'accuracy': 0.7679769894534996} |
| 0.062         | 72.0   | 9648   | 1.3912          | {'f1': 0.8433121019108281} | {'accuracy': 0.7641418983700863} |
| 0.062         | 73.0   | 9782   | 1.7858          | {'f1': 0.8524173027989821} | {'accuracy': 0.7775647171620326} |
| 0.062         | 74.0   | 9916   | 1.2980          | {'f1': 0.83322601416613}   | {'accuracy': 0.7516778523489933} |
| 0.0962        | 75.0   | 10050  | 1.5752          | {'f1': 0.843236409608091}  | {'accuracy': 0.7622243528283796} |
| 0.0962        | 76.0   | 10184  | 1.4961          | {'f1': 0.8354922279792747} | {'accuracy': 0.7564717162032598} |
| 0.0962        | 77.0   | 10318  | 1.5174          | {'f1': 0.8443893366398016} | {'accuracy': 0.7593480345158198} |
| 0.0962        | 78.0   | 10452  | 1.3752          | {'f1': 0.8441814595660749} | {'accuracy': 0.7727708533077661} |
| 0.0728        | 79.0   | 10586  | 1.6214          | {'f1': 0.8446163765312701} | {'accuracy': 0.7689357622243528} |
| 0.0728        | 80.0   | 10720  | 1.4817          | {'f1': 0.8468809073724007} | {'accuracy': 0.7670182166826462} |
| 0.0728        | 81.0   | 10854  | 1.3868          | {'f1': 0.8392156862745098} | {'accuracy': 0.7641418983700863} |
| 0.0728        | 82.0   | 10988  | 1.6587          | {'f1': 0.8296199213630406} | {'accuracy': 0.75071907957814}   |
| 0.0691        | 83.0   | 11122  | 1.6898          | {'f1': 0.8394113883557262} | {'accuracy': 0.7593480345158198} |
| 0.0691        | 84.0   | 11256  | 1.2099          | {'f1': 0.845859872611465}  | {'accuracy': 0.7679769894534996} |
| 0.0691        | 85.0   | 11390  | 1.7845          | {'f1': 0.8376288659793815} | {'accuracy': 0.7583892617449665} |
| 0.0717        | 86.0   | 11524  | 1.7216          | {'f1': 0.841763942931258}  | {'accuracy': 0.7660594439117929} |
| 0.0717        | 87.0   | 11658  | 1.0511          | {'f1': 0.8450704225352114} | {'accuracy': 0.7679769894534996} |
| 0.0717        | 88.0   | 11792  | 1.5846          | {'f1': 0.8189300411522633} | {'accuracy': 0.7468839884947267} |
| 0.0717        | 89.0   | 11926  | 1.3847          | {'f1': 0.8397720075997466} | {'accuracy': 0.7574304889741131} |
| 0.0953        | 90.0   | 12060  | 1.0937          | {'f1': 0.8454661558109835} | {'accuracy': 0.7679769894534996} |
| 0.0953        | 91.0   | 12194  | 1.5451          | {'f1': 0.8364099299809039} | {'accuracy': 0.7535953978907}    |
| 0.0953        | 92.0   | 12328  | 1.0869          | {'f1': 0.8461538461538461} | {'accuracy': 0.7698945349952061} |
| 0.0953        | 93.0   | 12462  | 1.3386          | {'f1': 0.8494690818238602} | {'accuracy': 0.7689357622243528} |
| 0.0824        | 94.0   | 12596  | 1.6271          | {'f1': 0.8459595959595959} | {'accuracy': 0.7660594439117929} |
| 0.0824        | 95.0   | 12730  | 1.7445          | {'f1': 0.845518118245391}  | {'accuracy': 0.7670182166826462} |
| 0.0824        | 96.0   | 12864  | 1.2211          | {'f1': 0.8319273199221285} | {'accuracy': 0.7516778523489933} |
| 0.0824        | 97.0   | 12998  | 1.8955          | {'f1': 0.8391521197007481} | {'accuracy': 0.7526366251198466} |
| 0.0617        | 98.0   | 13132  | 1.5208          | {'f1': 0.8028673835125448} | {'accuracy': 0.7363374880153404} |
| 0.0617        | 99.0   | 13266  | 1.6174          | {'f1': 0.837996096291477}  | {'accuracy': 0.7612655800575263} |
| 0.0617        | 100.0  | 13400  | 1.3516          | {'f1': 0.8423739629865986} | {'accuracy': 0.763183125599233}  |
| 0.0682        | 101.0  | 13534  | 1.6641          | {'f1': 0.8406169665809768} | {'accuracy': 0.7622243528283796} |
| 0.0682        | 102.0  | 13668  | 1.6767          | {'f1': 0.8393846153846154} | {'accuracy': 0.7497603068072867} |
| 0.0682        | 103.0  | 13802  | 1.7749          | {'f1': 0.833659491193738}  | {'accuracy': 0.7555129434324065} |
| 0.0682        | 104.0  | 13936  | 1.8813          | {'f1': 0.8431746031746032} | {'accuracy': 0.763183125599233}  |
| 0.0712        | 105.0  | 14070  | 1.3151          | {'f1': 0.8309492847854357} | {'accuracy': 0.75071907957814}   |
| 0.0712        | 106.0  | 14204  | 1.4004          | {'f1': 0.8297055057618438} | {'accuracy': 0.7449664429530202} |
| 0.0712        | 107.0  | 14338  | 1.8136          | {'f1': 0.8414634146341464} | {'accuracy': 0.75071907957814}   |
| 0.0712        | 108.0  | 14472  | 1.9883          | {'f1': 0.837996096291477}  | {'accuracy': 0.7612655800575263} |
| 0.1099        | 109.0  | 14606  | 1.4110          | {'f1': 0.8304542546385157} | {'accuracy': 0.7459252157238735} |
| 0.1099        | 110.0  | 14740  | 1.7478          | {'f1': 0.8366948601171111} | {'accuracy': 0.7593480345158198} |
| 0.1099        | 111.0  | 14874  | 1.5458          | {'f1': 0.8252299605781866} | {'accuracy': 0.7449664429530202} |
| 0.0847        | 112.0  | 15008  | 1.7675          | {'f1': 0.8405612244897959} | {'accuracy': 0.7603068072866731} |
| 0.0847        | 113.0  | 15142  | 1.3122          | {'f1': 0.843710292249047}  | {'accuracy': 0.7641418983700863} |
| 0.0847        | 114.0  | 15276  | 1.8780          | {'f1': 0.8404575556893438} | {'accuracy': 0.7459252157238735} |
| 0.0847        | 115.0  | 15410  | 0.9689          | {'f1': 0.8154158215010142} | {'accuracy': 0.738255033557047}  |
| 0.0867        | 116.0  | 15544  | 1.2954          | {'f1': 0.8387925497752088} | {'accuracy': 0.7593480345158198} |
| 0.0867        | 117.0  | 15678  | 1.4697          | {'f1': 0.8294679399727147} | {'accuracy': 0.7603068072866731} |
| 0.0867        | 118.0  | 15812  | 1.4716          | {'f1': 0.840378548895899}  | {'accuracy': 0.7574304889741131} |
| 0.0867        | 119.0  | 15946  | 1.4724          | {'f1': 0.8437499999999999} | {'accuracy': 0.7603068072866731} |
| 0.1036        | 120.0  | 16080  | 1.7950          | {'f1': 0.8310214375788146} | {'accuracy': 0.7430488974113135} |
| 0.1036        | 121.0  | 16214  | 1.3341          | {'f1': 0.8417037507946599} | {'accuracy': 0.7612655800575263} |
| 0.1036        | 122.0  | 16348  | 1.4197          | {'f1': 0.8329048843187661} | {'accuracy': 0.75071907957814}   |
| 0.1036        | 123.0  | 16482  | 1.1559          | {'f1': 0.8446662507797879} | {'accuracy': 0.7612655800575263} |
| 0.0824        | 124.0  | 16616  | 1.3918          | {'f1': 0.8473282442748092} | {'accuracy': 0.7698945349952061} |
| 0.0824        | 125.0  | 16750  | 1.3592          | {'f1': 0.8426596445029625} | {'accuracy': 0.7708533077660594} |
| 0.0824        | 126.0  | 16884  | 1.8414          | {'f1': 0.8442466624284806} | {'accuracy': 0.7651006711409396} |
| 0.095         | 127.0  | 17018  | 1.7007          | {'f1': 0.8419721871049306} | {'accuracy': 0.7603068072866731} |
| 0.095         | 128.0  | 17152  | 1.1419          | {'f1': 0.8473091364205256} | {'accuracy': 0.7660594439117929} |
| 0.095         | 129.0  | 17286  | 1.2746          | {'f1': 0.8411689961880559} | {'accuracy': 0.7603068072866731} |
| 0.095         | 130.0  | 17420  | 1.1815          | {'f1': 0.8414948453608248} | {'accuracy': 0.7641418983700863} |
| 0.0813        | 131.0  | 17554  | 1.2617          | {'f1': 0.8364099299809039} | {'accuracy': 0.7535953978907}    |
| 0.0813        | 132.0  | 17688  | 1.6935          | {'f1': 0.8310502283105023} | {'accuracy': 0.7516778523489933} |
| 0.0813        | 133.0  | 17822  | 1.7339          | {'f1': 0.8428303068252975} | {'accuracy': 0.7593480345158198} |
| 0.0813        | 134.0  | 17956  | 1.6638          | {'f1': 0.8322981366459627} | {'accuracy': 0.7411313518696069} |
| 0.0879        | 135.0  | 18090  | 1.3660          | {'f1': 0.8465873512836568} | {'accuracy': 0.7651006711409396} |
| 0.0879        | 136.0  | 18224  | 1.5622          | {'f1': 0.8354591836734695} | {'accuracy': 0.7526366251198466} |
| 0.0879        | 137.0  | 18358  | 1.3949          | {'f1': 0.8413192283758557} | {'accuracy': 0.7555129434324065} |
| 0.0879        | 138.0  | 18492  | 1.2827          | {'f1': 0.8428761651131824} | {'accuracy': 0.7737296260786194} |
| 0.0928        | 139.0  | 18626  | 1.4226          | {'f1': 0.8487500000000001} | {'accuracy': 0.7679769894534996} |
| 0.0928        | 140.0  | 18760  | 1.1919          | {'f1': 0.8451827242524917} | {'accuracy': 0.7766059443911792} |
| 0.0928        | 141.0  | 18894  | 1.7349          | {'f1': 0.8369704749679076} | {'accuracy': 0.7564717162032598} |
| 0.0816        | 142.0  | 19028  | 1.6732          | {'f1': 0.8366688185926405} | {'accuracy': 0.7574304889741131} |
| 0.0816        | 143.0  | 19162  | 1.4858          | {'f1': 0.8400770712909442} | {'accuracy': 0.7612655800575263} |
| 0.0816        | 144.0  | 19296  | 1.4609          | {'f1': 0.8442466624284806} | {'accuracy': 0.7651006711409396} |
| 0.0816        | 145.0  | 19430  | 1.9109          | {'f1': 0.8375855631611699} | {'accuracy': 0.7497603068072867} |
| 0.0646        | 146.0  | 19564  | 1.7140          | {'f1': 0.8396946564885497} | {'accuracy': 0.7583892617449665} |
| 0.0646        | 147.0  | 19698  | 1.5369          | {'f1': 0.8350125944584383} | {'accuracy': 0.7488015340364333} |
| 0.0646        | 148.0  | 19832  | 1.6238          | {'f1': 0.8409805153991201} | {'accuracy': 0.7574304889741131} |
| 0.0646        | 149.0  | 19966  | 1.6906          | {'f1': 0.8424356559949779} | {'accuracy': 0.7593480345158198} |
| 0.0733        | 150.0  | 20100  | 1.2963          | {'f1': 0.8404868673926971} | {'accuracy': 0.7612655800575263} |
| 0.0733        | 151.0  | 20234  | 1.5331          | {'f1': 0.8423101881894873} | {'accuracy': 0.7670182166826462} |
| 0.0733        | 152.0  | 20368  | 1.5936          | {'f1': 0.8460543337645536} | {'accuracy': 0.7718120805369127} |
| 0.0762        | 153.0  | 20502  | 1.3027          | {'f1': 0.8374446552814674} | {'accuracy': 0.7535953978907}    |
| 0.0762        | 154.0  | 20636  | 1.6002          | {'f1': 0.8361290322580646} | {'accuracy': 0.7564717162032598} |
| 0.0762        | 155.0  | 20770  | 1.5522          | {'f1': 0.8452305748578648} | {'accuracy': 0.7651006711409396} |
| 0.0762        | 156.0  | 20904  | 1.1634          | {'f1': 0.8369070825211176} | {'accuracy': 0.7593480345158198} |
| 0.0721        | 157.0  | 21038  | 1.5677          | {'f1': 0.8461043142305216} | {'accuracy': 0.7708533077660594} |
| 0.0721        | 158.0  | 21172  | 1.5015          | {'f1': 0.8343004513217279} | {'accuracy': 0.7535953978907}    |
| 0.0721        | 159.0  | 21306  | 1.1360          | {'f1': 0.8413615928066794} | {'accuracy': 0.763183125599233}  |
| 0.0721        | 160.0  | 21440  | 1.1307          | {'f1': 0.8612191958495461} | {'accuracy': 0.7948226270373921} |
| 0.1028        | 161.0  | 21574  | 1.3523          | {'f1': 0.8533668974197608} | {'accuracy': 0.7766059443911792} |
| 0.1028        | 162.0  | 21708  | 1.6406          | {'f1': 0.8515723270440252} | {'accuracy': 0.7737296260786194} |
| 0.1028        | 163.0  | 21842  | 1.5092          | {'f1': 0.8451776649746193} | {'accuracy': 0.7660594439117929} |
| 0.1028        | 164.0  | 21976  | 1.3951          | {'f1': 0.8247978436657681} | {'accuracy': 0.75071907957814}   |
| 0.0778        | 165.0  | 22110  | 1.6070          | {'f1': 0.8513082322910018} | {'accuracy': 0.7766059443911792} |
| 0.0778        | 166.0  | 22244  | 1.4910          | {'f1': 0.8391699092088196} | {'accuracy': 0.7622243528283796} |
| 0.0778        | 167.0  | 22378  | 1.5710          | {'f1': 0.8483322844556324} | {'accuracy': 0.7689357622243528} |
| 0.0615        | 168.0  | 22512  | 1.5610          | {'f1': 0.8498402555910542} | {'accuracy': 0.7746883988494727} |
| 0.0615        | 169.0  | 22646  | 1.6148          | {'f1': 0.8490920475892298} | {'accuracy': 0.7689357622243528} |
| 0.0615        | 170.0  | 22780  | 1.3437          | {'f1': 0.851063829787234}  | {'accuracy': 0.7718120805369127} |
| 0.0615        | 171.0  | 22914  | 1.3340          | {'f1': 0.8407894736842105} | {'accuracy': 0.7679769894534996} |
| 0.0752        | 172.0  | 23048  | 1.0684          | {'f1': 0.8533834586466166} | {'accuracy': 0.775647171620326}  |
| 0.0752        | 173.0  | 23182  | 1.4575          | {'f1': 0.8423676012461059} | {'accuracy': 0.7574304889741131} |
| 0.0752        | 174.0  | 23316  | 1.6067          | {'f1': 0.841640378548896}  | {'accuracy': 0.7593480345158198} |
| 0.0752        | 175.0  | 23450  | 1.8544          | {'f1': 0.8419139915202907} | {'accuracy': 0.7497603068072867} |
| 0.0948        | 176.0  | 23584  | 1.5140          | {'f1': 0.843710292249047}  | {'accuracy': 0.7641418983700863} |
| 0.0948        | 177.0  | 23718  | 1.1311          | {'f1': 0.8468930172966047} | {'accuracy': 0.7708533077660594} |
| 0.0948        | 178.0  | 23852  | 1.6526          | {'f1': 0.8356687898089172} | {'accuracy': 0.7526366251198466} |
| 0.0948        | 179.0  | 23986  | 1.2598          | {'f1': 0.8428479794740218} | {'accuracy': 0.7651006711409396} |
| 0.0942        | 180.0  | 24120  | 1.7390          | {'f1': 0.8442272449602932} | {'accuracy': 0.7555129434324065} |
| 0.0942        | 181.0  | 24254  | 1.3618          | {'f1': 0.8438320209973753} | {'accuracy': 0.7718120805369127} |
| 0.0942        | 182.0  | 24388  | 1.7613          | {'f1': 0.8452088452088452} | {'accuracy': 0.7583892617449665} |
| 0.0749        | 183.0  | 24522  | 1.4414          | {'f1': 0.8555417185554172} | {'accuracy': 0.7775647171620326} |
| 0.0749        | 184.0  | 24656  | 1.4834          | {'f1': 0.8499073502161828} | {'accuracy': 0.7670182166826462} |
| 0.0749        | 185.0  | 24790  | 1.6461          | {'f1': 0.8462021343377276} | {'accuracy': 0.7651006711409396} |
| 0.0749        | 186.0  | 24924  | 1.5138          | {'f1': 0.8466790813159528} | {'accuracy': 0.763183125599233}  |
| 0.0657        | 187.0  | 25058  | 1.2023          | {'f1': 0.847247990105133}  | {'accuracy': 0.763183125599233}  |
| 0.0657        | 188.0  | 25192  | 1.3747          | {'f1': 0.8232931726907631} | {'accuracy': 0.7468839884947267} |
| 0.0657        | 189.0  | 25326  | 1.7162          | {'f1': 0.8432835820895522} | {'accuracy': 0.7583892617449665} |
| 0.0657        | 190.0  | 25460  | 1.7436          | {'f1': 0.8422408242112042} | {'accuracy': 0.7651006711409396} |
| 0.0928        | 191.0  | 25594  | 1.3170          | {'f1': 0.8451612903225808} | {'accuracy': 0.7698945349952061} |
| 0.0928        | 192.0  | 25728  | 1.6950          | {'f1': 0.8312375909993381} | {'accuracy': 0.7555129434324065} |
| 0.0928        | 193.0  | 25862  | 1.5699          | {'f1': 0.852336448598131}  | {'accuracy': 0.7727708533077661} |
| 0.0928        | 194.0  | 25996  | 1.4407          | {'f1': 0.8317089018843405} | {'accuracy': 0.7516778523489933} |
| 0.0761        | 195.0  | 26130  | 1.4899          | {'f1': 0.8402061855670104} | {'accuracy': 0.7622243528283796} |
| 0.0761        | 196.0  | 26264  | 1.5314          | {'f1': 0.8403157255616271} | {'accuracy': 0.74784276126558}   |
| 0.0761        | 197.0  | 26398  | 1.2967          | {'f1': 0.8420382165605096} | {'accuracy': 0.7622243528283796} |
| 0.0668        | 198.0  | 26532  | 1.6689          | {'f1': 0.8467336683417086} | {'accuracy': 0.7660594439117929} |
| 0.0668        | 199.0  | 26666  | 1.8314          | {'f1': 0.8433268858800773} | {'accuracy': 0.7670182166826462} |
| 0.0668        | 200.0  | 26800  | 2.0910          | {'f1': 0.8334373050530256} | {'accuracy': 0.7440076701821668} |
| 0.0668        | 201.0  | 26934  | 1.7489          | {'f1': 0.8321633694958519} | {'accuracy': 0.74784276126558}   |
| 0.0725        | 202.0  | 27068  | 1.0799          | {'f1': 0.8268229166666667} | {'accuracy': 0.7449664429530202} |
| 0.0725        | 203.0  | 27202  | 1.5898          | {'f1': 0.8197596795727636} | {'accuracy': 0.7411313518696069} |
| 0.0725        | 204.0  | 27336  | 1.4955          | {'f1': 0.8324607329842932} | {'accuracy': 0.7545541706615532} |
| 0.0725        | 205.0  | 27470  | 1.6920          | {'f1': 0.8315041962556489} | {'accuracy': 0.7497603068072867} |
| 0.0794        | 206.0  | 27604  | 1.8251          | {'f1': 0.8438871473354232} | {'accuracy': 0.7612655800575263} |
| 0.0794        | 207.0  | 27738  | 1.7280          | {'f1': 0.8366834170854272} | {'accuracy': 0.75071907957814}   |
| 0.0794        | 208.0  | 27872  | 1.8114          | {'f1': 0.8318471337579618} | {'accuracy': 0.7468839884947267} |
| 0.0768        | 209.0  | 28006  | 1.2941          | {'f1': 0.8392745465916197} | {'accuracy': 0.7535953978907}    |
| 0.0768        | 210.0  | 28140  | 1.6627          | {'f1': 0.8407960199004975} | {'accuracy': 0.7545541706615532} |
| 0.0768        | 211.0  | 28274  | 1.3404          | {'f1': 0.8352387357094821} | {'accuracy': 0.7651006711409396} |
| 0.0768        | 212.0  | 28408  | 1.6655          | {'f1': 0.8303068252974327} | {'accuracy': 0.7401725790987536} |
| 0.0957        | 213.0  | 28542  | 1.3915          | {'f1': 0.8432501599488165} | {'accuracy': 0.7651006711409396} |
| 0.0957        | 214.0  | 28676  | 1.3848          | {'f1': 0.8385053831538949} | {'accuracy': 0.7555129434324065} |
| 0.0957        | 215.0  | 28810  | 1.9960          | {'f1': 0.8334373050530256} | {'accuracy': 0.7440076701821668} |
| 0.0957        | 216.0  | 28944  | 1.8212          | {'f1': 0.8321981424148608} | {'accuracy': 0.7401725790987536} |
| 0.0795        | 217.0  | 29078  | 1.5493          | {'f1': 0.842040565457898}  | {'accuracy': 0.7535953978907}    |
| 0.0795        | 218.0  | 29212  | 1.6638          | {'f1': 0.8346749226006193} | {'accuracy': 0.7440076701821668} |
| 0.0795        | 219.0  | 29346  | 1.6052          | {'f1': 0.8367989918084436} | {'accuracy': 0.7516778523489933} |
| 0.0795        | 220.0  | 29480  | 1.2129          | {'f1': 0.8334439283344393} | {'accuracy': 0.7593480345158198} |
| 0.0958        | 221.0  | 29614  | 1.4496          | {'f1': 0.8351507376523413} | {'accuracy': 0.7535953978907}    |
| 0.0958        | 222.0  | 29748  | 1.4079          | {'f1': 0.8399222294232017} | {'accuracy': 0.763183125599233}  |
| 0.0958        | 223.0  | 29882  | 1.6295          | {'f1': 0.8373531230674086} | {'accuracy': 0.74784276126558}   |
| 0.0718        | 224.0  | 30016  | 1.4081          | {'f1': 0.843236409608091}  | {'accuracy': 0.7622243528283796} |
| 0.0718        | 225.0  | 30150  | 1.9464          | {'f1': 0.8405438813349814} | {'accuracy': 0.7526366251198466} |
| 0.0718        | 226.0  | 30284  | 1.2621          | {'f1': 0.8345514950166112} | {'accuracy': 0.7612655800575263} |
| 0.0718        | 227.0  | 30418  | 1.7916          | {'f1': 0.841640378548896}  | {'accuracy': 0.7593480345158198} |
| 0.0567        | 228.0  | 30552  | 1.5602          | {'f1': 0.8486352357320098} | {'accuracy': 0.7660594439117929} |
| 0.0567        | 229.0  | 30686  | 1.9275          | {'f1': 0.8396651641983257} | {'accuracy': 0.7612655800575263} |
| 0.0567        | 230.0  | 30820  | 1.6460          | {'f1': 0.8389993585631816} | {'accuracy': 0.7593480345158198} |
| 0.0567        | 231.0  | 30954  | 1.8271          | {'f1': 0.8315041962556489} | {'accuracy': 0.7497603068072867} |
| 0.0553        | 232.0  | 31088  | 1.2234          | {'f1': 0.8391608391608393} | {'accuracy': 0.7574304889741131} |
| 0.0553        | 233.0  | 31222  | 1.6015          | {'f1': 0.8351063829787234} | {'accuracy': 0.7622243528283796} |
| 0.0553        | 234.0  | 31356  | 1.7432          | {'f1': 0.8393077873918418} | {'accuracy': 0.75071907957814}   |
| 0.0553        | 235.0  | 31490  | 1.7301          | {'f1': 0.8393524283935242} | {'accuracy': 0.7526366251198466} |
| 0.0767        | 236.0  | 31624  | 1.8146          | {'f1': 0.8261437908496732} | {'accuracy': 0.7449664429530202} |
| 0.0767        | 237.0  | 31758  | 1.9732          | {'f1': 0.8441396508728181} | {'accuracy': 0.7603068072866731} |
| 0.0767        | 238.0  | 31892  | 1.7092          | {'f1': 0.8281053952321205} | {'accuracy': 0.7372962607861937} |
| 0.0641        | 239.0  | 32026  | 1.8727          | {'f1': 0.8240802675585284} | {'accuracy': 0.74784276126558}   |
| 0.0641        | 240.0  | 32160  | 1.9378          | {'f1': 0.8442776735459662} | {'accuracy': 0.7612655800575263} |
| 0.0641        | 241.0  | 32294  | 1.6189          | {'f1': 0.839073262366938}  | {'accuracy': 0.7535953978907}    |
| 0.0641        | 242.0  | 32428  | 1.6819          | {'f1': 0.838909541511772}  | {'accuracy': 0.75071907957814}   |
| 0.0714        | 243.0  | 32562  | 1.8463          | {'f1': 0.8413284132841329} | {'accuracy': 0.7526366251198466} |
| 0.0714        | 244.0  | 32696  | 1.9473          | {'f1': 0.8405253283302063} | {'accuracy': 0.7555129434324065} |
| 0.0714        | 245.0  | 32830  | 2.0582          | {'f1': 0.8290816326530612} | {'accuracy': 0.7430488974113135} |
| 0.0714        | 246.0  | 32964  | 1.7703          | {'f1': 0.800557880055788}  | {'accuracy': 0.725790987535954}  |
| 0.0642        | 247.0  | 33098  | 1.9499          | {'f1': 0.8251748251748251} | {'accuracy': 0.7363374880153404} |
| 0.0642        | 248.0  | 33232  | 1.9310          | {'f1': 0.8342575477510783} | {'accuracy': 0.7420901246404602} |
| 0.0642        | 249.0  | 33366  | 1.9989          | {'f1': 0.8387909319899244} | {'accuracy': 0.7545541706615532} |
| 0.0684        | 250.0  | 33500  | 1.5470          | {'f1': 0.8264781491002571} | {'accuracy': 0.7411313518696069} |
| 0.0684        | 251.0  | 33634  | 1.6231          | {'f1': 0.8179347826086956} | {'accuracy': 0.7430488974113135} |
| 0.0684        | 252.0  | 33768  | 2.0127          | {'f1': 0.8352868599629859} | {'accuracy': 0.7440076701821668} |
| 0.0684        | 253.0  | 33902  | 1.9169          | {'f1': 0.8316831683168315} | {'accuracy': 0.7392138063279002} |
| 0.0626        | 254.0  | 34036  | 1.9991          | {'f1': 0.8334373050530256} | {'accuracy': 0.7440076701821668} |
| 0.0626        | 255.0  | 34170  | 1.6814          | {'f1': 0.8391437308868501} | {'accuracy': 0.74784276126558}   |
| 0.0626        | 256.0  | 34304  | 2.0308          | {'f1': 0.8311362209667295} | {'accuracy': 0.7420901246404602} |
| 0.0626        | 257.0  | 34438  | 1.7003          | {'f1': 0.8277602523659306} | {'accuracy': 0.738255033557047}  |
| 0.0974        | 258.0  | 34572  | 1.7315          | {'f1': 0.8293316028552888} | {'accuracy': 0.74784276126558}   |
| 0.0974        | 259.0  | 34706  | 1.5954          | {'f1': 0.8239747634069401} | {'accuracy': 0.7325023969319271} |
| 0.0974        | 260.0  | 34840  | 1.7203          | {'f1': 0.8398533007334964} | {'accuracy': 0.7488015340364333} |
| 0.0974        | 261.0  | 34974  | 1.5608          | {'f1': 0.8321633694958519} | {'accuracy': 0.74784276126558}   |
| 0.0734        | 262.0  | 35108  | 2.1204          | {'f1': 0.8257339163023111} | {'accuracy': 0.7325023969319271} |
| 0.0734        | 263.0  | 35242  | 1.6430          | {'f1': 0.8362944162436549} | {'accuracy': 0.7526366251198466} |
| 0.0734        | 264.0  | 35376  | 2.0931          | {'f1': 0.832920792079208}  | {'accuracy': 0.7411313518696069} |
| 0.0642        | 265.0  | 35510  | 1.5789          | {'f1': 0.8217757615035645} | {'accuracy': 0.7363374880153404} |
| 0.0642        | 266.0  | 35644  | 1.7629          | {'f1': 0.83125}            | {'accuracy': 0.7411313518696069} |
| 0.0642        | 267.0  | 35778  | 1.2743          | {'f1': 0.8285163776493256} | {'accuracy': 0.7440076701821668} |
| 0.0642        | 268.0  | 35912  | 1.6117          | {'f1': 0.822997416020672}  | {'accuracy': 0.7372962607861937} |
| 0.0899        | 269.0  | 36046  | 1.8991          | {'f1': 0.828270303781773}  | {'accuracy': 0.7344199424736337} |
| 0.0899        | 270.0  | 36180  | 2.1050          | {'f1': 0.8265107212475635} | {'accuracy': 0.7440076701821668} |
| 0.0899        | 271.0  | 36314  | 1.8818          | {'f1': 0.841300191204589}  | {'accuracy': 0.7612655800575263} |
| 0.0899        | 272.0  | 36448  | 2.0390          | {'f1': 0.8297872340425533} | {'accuracy': 0.7392138063279002} |
| 0.0522        | 273.0  | 36582  | 1.7460          | {'f1': 0.8263395739186572} | {'accuracy': 0.7420901246404602} |
| 0.0522        | 274.0  | 36716  | 1.8015          | {'f1': 0.8336402701043584} | {'accuracy': 0.7401725790987536} |
| 0.0522        | 275.0  | 36850  | 1.9502          | {'f1': 0.833743842364532}  | {'accuracy': 0.7411313518696069} |
| 0.0522        | 276.0  | 36984  | 2.0488          | {'f1': 0.8388278388278388} | {'accuracy': 0.7468839884947267} |
| 0.0778        | 277.0  | 37118  | 2.0336          | {'f1': 0.8361370716510904} | {'accuracy': 0.74784276126558}   |
| 0.0778        | 278.0  | 37252  | 2.0586          | {'f1': 0.834445118253487}  | {'accuracy': 0.738255033557047}  |
| 0.0778        | 279.0  | 37386  | 1.1593          | {'f1': 0.8430160692212608} | {'accuracy': 0.7564717162032598} |
| 0.077         | 280.0  | 37520  | 2.1335          | {'f1': 0.8317815021725636} | {'accuracy': 0.7401725790987536} |
| 0.077         | 281.0  | 37654  | 0.6312          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.077         | 282.0  | 37788  | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.077         | 283.0  | 37922  | 0.6788          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5214        | 284.0  | 38056  | 0.7291          | {'f1': 0.0}                | {'accuracy': 0.3087248322147651} |
| 0.5214        | 285.0  | 38190  | 0.6262          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5214        | 286.0  | 38324  | 0.6239          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5214        | 287.0  | 38458  | 0.6283          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6281        | 288.0  | 38592  | 0.6422          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6281        | 289.0  | 38726  | 0.6264          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6281        | 290.0  | 38860  | 0.6202          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6281        | 291.0  | 38994  | 0.6198          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6239        | 292.0  | 39128  | 0.6201          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6239        | 293.0  | 39262  | 0.6239          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6239        | 294.0  | 39396  | 0.6197          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6222        | 295.0  | 39530  | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6222        | 296.0  | 39664  | 0.6258          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6222        | 297.0  | 39798  | 0.6279          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6222        | 298.0  | 39932  | 0.6284          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6213        | 299.0  | 40066  | 0.6301          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6213        | 300.0  | 40200  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6213        | 301.0  | 40334  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6213        | 302.0  | 40468  | 0.6221          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6241        | 303.0  | 40602  | 0.6204          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6241        | 304.0  | 40736  | 0.6196          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6241        | 305.0  | 40870  | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6206        | 306.0  | 41004  | 0.6197          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6206        | 307.0  | 41138  | 0.6194          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6206        | 308.0  | 41272  | 0.6455          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6206        | 309.0  | 41406  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6196        | 310.0  | 41540  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6196        | 311.0  | 41674  | 0.6209          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6196        | 312.0  | 41808  | 0.6192          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6196        | 313.0  | 41942  | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6222        | 314.0  | 42076  | 0.6366          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6222        | 315.0  | 42210  | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6222        | 316.0  | 42344  | 0.6405          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6222        | 317.0  | 42478  | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6201        | 318.0  | 42612  | 0.6243          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6201        | 319.0  | 42746  | 0.6227          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6201        | 320.0  | 42880  | 0.6257          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6227        | 321.0  | 43014  | 0.6287          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6227        | 322.0  | 43148  | 0.6227          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6227        | 323.0  | 43282  | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6227        | 324.0  | 43416  | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6184        | 325.0  | 43550  | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6184        | 326.0  | 43684  | 0.6216          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6184        | 327.0  | 43818  | 0.6198          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6184        | 328.0  | 43952  | 0.6262          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6224        | 329.0  | 44086  | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6224        | 330.0  | 44220  | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6224        | 331.0  | 44354  | 0.6200          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6224        | 332.0  | 44488  | 0.6413          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6194        | 333.0  | 44622  | 0.6228          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6194        | 334.0  | 44756  | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6194        | 335.0  | 44890  | 0.6258          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6203        | 336.0  | 45024  | 0.6228          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6203        | 337.0  | 45158  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6203        | 338.0  | 45292  | 0.6196          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6203        | 339.0  | 45426  | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6209        | 340.0  | 45560  | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6209        | 341.0  | 45694  | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6209        | 342.0  | 45828  | 0.6207          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6209        | 343.0  | 45962  | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191        | 344.0  | 46096  | 0.6329          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191        | 345.0  | 46230  | 0.6193          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191        | 346.0  | 46364  | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191        | 347.0  | 46498  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6192        | 348.0  | 46632  | 0.6232          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6192        | 349.0  | 46766  | 0.6252          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6192        | 350.0  | 46900  | 0.6524          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6226        | 351.0  | 47034  | 0.6212          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6226        | 352.0  | 47168  | 0.6202          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6226        | 353.0  | 47302  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6226        | 354.0  | 47436  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6196        | 355.0  | 47570  | 0.6333          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6196        | 356.0  | 47704  | 0.6301          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6196        | 357.0  | 47838  | 0.6198          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6196        | 358.0  | 47972  | 0.6231          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6219        | 359.0  | 48106  | 0.6388          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6219        | 360.0  | 48240  | 0.6196          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6219        | 361.0  | 48374  | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.619         | 362.0  | 48508  | 0.6228          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.619         | 363.0  | 48642  | 0.6245          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.619         | 364.0  | 48776  | 0.6382          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.619         | 365.0  | 48910  | 0.6291          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6198        | 366.0  | 49044  | 0.6239          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6198        | 367.0  | 49178  | 0.6196          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6198        | 368.0  | 49312  | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6198        | 369.0  | 49446  | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6197        | 370.0  | 49580  | 0.6246          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6197        | 371.0  | 49714  | 0.6244          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6197        | 372.0  | 49848  | 0.6215          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6197        | 373.0  | 49982  | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6198        | 374.0  | 50116  | 0.6201          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6198        | 375.0  | 50250  | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6198        | 376.0  | 50384  | 0.6249          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6201        | 377.0  | 50518  | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6201        | 378.0  | 50652  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6201        | 379.0  | 50786  | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6201        | 380.0  | 50920  | 0.6220          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6204        | 381.0  | 51054  | 0.6207          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6204        | 382.0  | 51188  | 0.6363          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6204        | 383.0  | 51322  | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6204        | 384.0  | 51456  | 0.6229          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6228        | 385.0  | 51590  | 0.6290          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6228        | 386.0  | 51724  | 0.6375          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6228        | 387.0  | 51858  | 0.6211          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6228        | 388.0  | 51992  | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6208        | 389.0  | 52126  | 0.6219          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6208        | 390.0  | 52260  | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6208        | 391.0  | 52394  | 0.6426          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6206        | 392.0  | 52528  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6206        | 393.0  | 52662  | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6206        | 394.0  | 52796  | 0.6272          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6206        | 395.0  | 52930  | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6202        | 396.0  | 53064  | 0.6315          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6202        | 397.0  | 53198  | 0.6194          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6202        | 398.0  | 53332  | 0.6226          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6202        | 399.0  | 53466  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6218        | 400.0  | 53600  | 0.6329          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6218        | 401.0  | 53734  | 0.6196          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6218        | 402.0  | 53868  | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191        | 403.0  | 54002  | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191        | 404.0  | 54136  | 0.6251          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191        | 405.0  | 54270  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191        | 406.0  | 54404  | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6223        | 407.0  | 54538  | 0.6212          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6223        | 408.0  | 54672  | 0.6237          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6223        | 409.0  | 54806  | 0.6254          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6223        | 410.0  | 54940  | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177        | 411.0  | 55074  | 0.6200          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177        | 412.0  | 55208  | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177        | 413.0  | 55342  | 0.6207          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177        | 414.0  | 55476  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6206        | 415.0  | 55610  | 0.6284          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6206        | 416.0  | 55744  | 0.6341          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6206        | 417.0  | 55878  | 0.6194          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6198        | 418.0  | 56012  | 0.6202          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6198        | 419.0  | 56146  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6198        | 420.0  | 56280  | 0.6216          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6198        | 421.0  | 56414  | 0.6192          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6207        | 422.0  | 56548  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6207        | 423.0  | 56682  | 0.6217          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6207        | 424.0  | 56816  | 0.6233          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6207        | 425.0  | 56950  | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6197        | 426.0  | 57084  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6197        | 427.0  | 57218  | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6197        | 428.0  | 57352  | 0.6465          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6197        | 429.0  | 57486  | 0.6272          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6202        | 430.0  | 57620  | 0.6235          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6202        | 431.0  | 57754  | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6202        | 432.0  | 57888  | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6184        | 433.0  | 58022  | 0.6292          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6184        | 434.0  | 58156  | 0.6471          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6184        | 435.0  | 58290  | 0.6238          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6184        | 436.0  | 58424  | 0.6247          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6214        | 437.0  | 58558  | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6214        | 438.0  | 58692  | 0.6339          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6214        | 439.0  | 58826  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6214        | 440.0  | 58960  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177        | 441.0  | 59094  | 0.6201          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177        | 442.0  | 59228  | 0.6219          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177        | 443.0  | 59362  | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177        | 444.0  | 59496  | 0.6194          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6183        | 445.0  | 59630  | 0.6193          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6183        | 446.0  | 59764  | 0.6277          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6183        | 447.0  | 59898  | 0.6212          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6199        | 448.0  | 60032  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6199        | 449.0  | 60166  | 0.6294          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6199        | 450.0  | 60300  | 0.6357          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6199        | 451.0  | 60434  | 0.6512          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6205        | 452.0  | 60568  | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6205        | 453.0  | 60702  | 0.6227          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6205        | 454.0  | 60836  | 0.6191          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6205        | 455.0  | 60970  | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.621         | 456.0  | 61104  | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.621         | 457.0  | 61238  | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.621         | 458.0  | 61372  | 0.6347          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6205        | 459.0  | 61506  | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6205        | 460.0  | 61640  | 0.6243          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6205        | 461.0  | 61774  | 0.6235          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6205        | 462.0  | 61908  | 0.6201          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6197        | 463.0  | 62042  | 0.6257          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6197        | 464.0  | 62176  | 0.6251          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6197        | 465.0  | 62310  | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6197        | 466.0  | 62444  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6204        | 467.0  | 62578  | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6204        | 468.0  | 62712  | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6204        | 469.0  | 62846  | 0.6222          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6204        | 470.0  | 62980  | 0.6205          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6213        | 471.0  | 63114  | 0.6396          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6213        | 472.0  | 63248  | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6213        | 473.0  | 63382  | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182        | 474.0  | 63516  | 0.6270          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182        | 475.0  | 63650  | 0.6271          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182        | 476.0  | 63784  | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182        | 477.0  | 63918  | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6194        | 478.0  | 64052  | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6194        | 479.0  | 64186  | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6194        | 480.0  | 64320  | 0.6206          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6194        | 481.0  | 64454  | 0.6255          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 482.0  | 64588  | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 483.0  | 64722  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 484.0  | 64856  | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 485.0  | 64990  | 0.6197          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6205        | 486.0  | 65124  | 0.6210          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6205        | 487.0  | 65258  | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6205        | 488.0  | 65392  | 0.6194          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174        | 489.0  | 65526  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174        | 490.0  | 65660  | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174        | 491.0  | 65794  | 0.6191          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174        | 492.0  | 65928  | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6228        | 493.0  | 66062  | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6228        | 494.0  | 66196  | 0.6248          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6228        | 495.0  | 66330  | 0.6198          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6228        | 496.0  | 66464  | 0.6191          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 497.0  | 66598  | 0.6215          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 498.0  | 66732  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 499.0  | 66866  | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191        | 500.0  | 67000  | 0.6205          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191        | 501.0  | 67134  | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191        | 502.0  | 67268  | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191        | 503.0  | 67402  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6175        | 504.0  | 67536  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6175        | 505.0  | 67670  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6175        | 506.0  | 67804  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6175        | 507.0  | 67938  | 0.6224          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6195        | 508.0  | 68072  | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6195        | 509.0  | 68206  | 0.6261          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6195        | 510.0  | 68340  | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6195        | 511.0  | 68474  | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6193        | 512.0  | 68608  | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6193        | 513.0  | 68742  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6193        | 514.0  | 68876  | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6202        | 515.0  | 69010  | 0.6210          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6202        | 516.0  | 69144  | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6202        | 517.0  | 69278  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6202        | 518.0  | 69412  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6166        | 519.0  | 69546  | 0.6230          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6166        | 520.0  | 69680  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6166        | 521.0  | 69814  | 0.6211          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6166        | 522.0  | 69948  | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6192        | 523.0  | 70082  | 0.6217          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6192        | 524.0  | 70216  | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6192        | 525.0  | 70350  | 0.6277          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6192        | 526.0  | 70484  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6216        | 527.0  | 70618  | 0.6193          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6216        | 528.0  | 70752  | 0.6195          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6216        | 529.0  | 70886  | 0.6280          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 530.0  | 71020  | 0.6200          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 531.0  | 71154  | 0.6192          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 532.0  | 71288  | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 533.0  | 71422  | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6162        | 534.0  | 71556  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6162        | 535.0  | 71690  | 0.6193          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6162        | 536.0  | 71824  | 0.6256          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6162        | 537.0  | 71958  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6209        | 538.0  | 72092  | 0.6212          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6209        | 539.0  | 72226  | 0.6202          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6209        | 540.0  | 72360  | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6209        | 541.0  | 72494  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6184        | 542.0  | 72628  | 0.6225          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6184        | 543.0  | 72762  | 0.6259          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6184        | 544.0  | 72896  | 0.6235          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6192        | 545.0  | 73030  | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6192        | 546.0  | 73164  | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6192        | 547.0  | 73298  | 0.6201          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6192        | 548.0  | 73432  | 0.6197          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6187        | 549.0  | 73566  | 0.6198          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6187        | 550.0  | 73700  | 0.6246          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6187        | 551.0  | 73834  | 0.6199          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6187        | 552.0  | 73968  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6184        | 553.0  | 74102  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6184        | 554.0  | 74236  | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6184        | 555.0  | 74370  | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6178        | 556.0  | 74504  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6178        | 557.0  | 74638  | 0.6198          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6178        | 558.0  | 74772  | 0.6216          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6178        | 559.0  | 74906  | 0.6276          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6201        | 560.0  | 75040  | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6201        | 561.0  | 75174  | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6201        | 562.0  | 75308  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6201        | 563.0  | 75442  | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.62          | 564.0  | 75576  | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.62          | 565.0  | 75710  | 0.6227          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.62          | 566.0  | 75844  | 0.6316          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.62          | 567.0  | 75978  | 0.6199          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6189        | 568.0  | 76112  | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6189        | 569.0  | 76246  | 0.6253          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6189        | 570.0  | 76380  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 571.0  | 76514  | 0.6214          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 572.0  | 76648  | 0.6206          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 573.0  | 76782  | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 574.0  | 76916  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6187        | 575.0  | 77050  | 0.6292          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6187        | 576.0  | 77184  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6187        | 577.0  | 77318  | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6187        | 578.0  | 77452  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.618         | 579.0  | 77586  | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.618         | 580.0  | 77720  | 0.6198          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.618         | 581.0  | 77854  | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.618         | 582.0  | 77988  | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 583.0  | 78122  | 0.6208          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 584.0  | 78256  | 0.6253          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 585.0  | 78390  | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6186        | 586.0  | 78524  | 0.6248          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6186        | 587.0  | 78658  | 0.6196          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6186        | 588.0  | 78792  | 0.6366          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6186        | 589.0  | 78926  | 0.6237          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 590.0  | 79060  | 0.6209          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 591.0  | 79194  | 0.6238          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 592.0  | 79328  | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 593.0  | 79462  | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6178        | 594.0  | 79596  | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6178        | 595.0  | 79730  | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6178        | 596.0  | 79864  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6178        | 597.0  | 79998  | 0.6205          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6181        | 598.0  | 80132  | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6181        | 599.0  | 80266  | 0.6205          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6181        | 600.0  | 80400  | 0.6274          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182        | 601.0  | 80534  | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182        | 602.0  | 80668  | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182        | 603.0  | 80802  | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182        | 604.0  | 80936  | 0.6206          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 605.0  | 81070  | 0.6191          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 606.0  | 81204  | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 607.0  | 81338  | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 608.0  | 81472  | 0.6197          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6183        | 609.0  | 81606  | 0.6197          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6183        | 610.0  | 81740  | 0.6214          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6183        | 611.0  | 81874  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191        | 612.0  | 82008  | 0.6284          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191        | 613.0  | 82142  | 0.6323          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191        | 614.0  | 82276  | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191        | 615.0  | 82410  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.618         | 616.0  | 82544  | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.618         | 617.0  | 82678  | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.618         | 618.0  | 82812  | 0.6227          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.618         | 619.0  | 82946  | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 620.0  | 83080  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 621.0  | 83214  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 622.0  | 83348  | 0.6207          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 623.0  | 83482  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177        | 624.0  | 83616  | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177        | 625.0  | 83750  | 0.6236          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177        | 626.0  | 83884  | 0.6242          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174        | 627.0  | 84018  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174        | 628.0  | 84152  | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174        | 629.0  | 84286  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174        | 630.0  | 84420  | 0.6359          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 631.0  | 84554  | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 632.0  | 84688  | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 633.0  | 84822  | 0.6205          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 634.0  | 84956  | 0.6205          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6171        | 635.0  | 85090  | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6171        | 636.0  | 85224  | 0.6238          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6171        | 637.0  | 85358  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6171        | 638.0  | 85492  | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6179        | 639.0  | 85626  | 0.6192          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6179        | 640.0  | 85760  | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6179        | 641.0  | 85894  | 0.6234          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 642.0  | 86028  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 643.0  | 86162  | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 644.0  | 86296  | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 645.0  | 86430  | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182        | 646.0  | 86564  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182        | 647.0  | 86698  | 0.6207          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182        | 648.0  | 86832  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182        | 649.0  | 86966  | 0.6204          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182        | 650.0  | 87100  | 0.6209          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182        | 651.0  | 87234  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182        | 652.0  | 87368  | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6165        | 653.0  | 87502  | 0.6211          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6165        | 654.0  | 87636  | 0.6245          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6165        | 655.0  | 87770  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6165        | 656.0  | 87904  | 0.6195          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 657.0  | 88038  | 0.6201          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 658.0  | 88172  | 0.6198          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 659.0  | 88306  | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 660.0  | 88440  | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6178        | 661.0  | 88574  | 0.6213          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6178        | 662.0  | 88708  | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6178        | 663.0  | 88842  | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6178        | 664.0  | 88976  | 0.6196          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6172        | 665.0  | 89110  | 0.6243          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6172        | 666.0  | 89244  | 0.6269          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6172        | 667.0  | 89378  | 0.6454          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174        | 668.0  | 89512  | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174        | 669.0  | 89646  | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174        | 670.0  | 89780  | 0.6324          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174        | 671.0  | 89914  | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6179        | 672.0  | 90048  | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6179        | 673.0  | 90182  | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6179        | 674.0  | 90316  | 0.6231          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6179        | 675.0  | 90450  | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157        | 676.0  | 90584  | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157        | 677.0  | 90718  | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157        | 678.0  | 90852  | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157        | 679.0  | 90986  | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 680.0  | 91120  | 0.6193          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 681.0  | 91254  | 0.6274          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 682.0  | 91388  | 0.6193          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 683.0  | 91522  | 0.6212          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 684.0  | 91656  | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 685.0  | 91790  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 686.0  | 91924  | 0.6195          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 687.0  | 92058  | 0.6208          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 688.0  | 92192  | 0.6214          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 689.0  | 92326  | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 690.0  | 92460  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6194        | 691.0  | 92594  | 0.6217          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6194        | 692.0  | 92728  | 0.6208          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6194        | 693.0  | 92862  | 0.6202          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6194        | 694.0  | 92996  | 0.6225          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161        | 695.0  | 93130  | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161        | 696.0  | 93264  | 0.6200          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161        | 697.0  | 93398  | 0.6264          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6175        | 698.0  | 93532  | 0.6217          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6175        | 699.0  | 93666  | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6175        | 700.0  | 93800  | 0.6207          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6175        | 701.0  | 93934  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182        | 702.0  | 94068  | 0.6199          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182        | 703.0  | 94202  | 0.6319          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182        | 704.0  | 94336  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182        | 705.0  | 94470  | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6164        | 706.0  | 94604  | 0.6236          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6164        | 707.0  | 94738  | 0.6221          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6164        | 708.0  | 94872  | 0.6202          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6152        | 709.0  | 95006  | 0.6223          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6152        | 710.0  | 95140  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6152        | 711.0  | 95274  | 0.6200          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6152        | 712.0  | 95408  | 0.6203          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6175        | 713.0  | 95542  | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6175        | 714.0  | 95676  | 0.6212          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6175        | 715.0  | 95810  | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6175        | 716.0  | 95944  | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 717.0  | 96078  | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 718.0  | 96212  | 0.6255          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 719.0  | 96346  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 720.0  | 96480  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 721.0  | 96614  | 0.6199          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 722.0  | 96748  | 0.6403          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 723.0  | 96882  | 0.6202          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 724.0  | 97016  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 725.0  | 97150  | 0.6235          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 726.0  | 97284  | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 727.0  | 97418  | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157        | 728.0  | 97552  | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157        | 729.0  | 97686  | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157        | 730.0  | 97820  | 0.6199          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157        | 731.0  | 97954  | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6187        | 732.0  | 98088  | 0.6221          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6187        | 733.0  | 98222  | 0.6197          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6187        | 734.0  | 98356  | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6187        | 735.0  | 98490  | 0.6216          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 736.0  | 98624  | 0.6192          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 737.0  | 98758  | 0.6212          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 738.0  | 98892  | 0.6202          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 739.0  | 99026  | 0.6203          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 740.0  | 99160  | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 741.0  | 99294  | 0.6274          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 742.0  | 99428  | 0.6202          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 743.0  | 99562  | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 744.0  | 99696  | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 745.0  | 99830  | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 746.0  | 99964  | 0.6193          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 747.0  | 100098 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 748.0  | 100232 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 749.0  | 100366 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161        | 750.0  | 100500 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161        | 751.0  | 100634 | 0.6268          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161        | 752.0  | 100768 | 0.6205          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161        | 753.0  | 100902 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 754.0  | 101036 | 0.6191          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 755.0  | 101170 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 756.0  | 101304 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 757.0  | 101438 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 758.0  | 101572 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 759.0  | 101706 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 760.0  | 101840 | 0.6199          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 761.0  | 101974 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.618         | 762.0  | 102108 | 0.6196          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.618         | 763.0  | 102242 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.618         | 764.0  | 102376 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 765.0  | 102510 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 766.0  | 102644 | 0.6260          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 767.0  | 102778 | 0.6214          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 768.0  | 102912 | 0.6199          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 769.0  | 103046 | 0.6223          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 770.0  | 103180 | 0.6259          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 771.0  | 103314 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 772.0  | 103448 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 773.0  | 103582 | 0.6207          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 774.0  | 103716 | 0.6191          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 775.0  | 103850 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 776.0  | 103984 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6168        | 777.0  | 104118 | 0.6199          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6168        | 778.0  | 104252 | 0.6222          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6168        | 779.0  | 104386 | 0.6203          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177        | 780.0  | 104520 | 0.6218          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177        | 781.0  | 104654 | 0.6206          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177        | 782.0  | 104788 | 0.6286          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177        | 783.0  | 104922 | 0.6239          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 784.0  | 105056 | 0.6203          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 785.0  | 105190 | 0.6211          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 786.0  | 105324 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 787.0  | 105458 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 788.0  | 105592 | 0.6193          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 789.0  | 105726 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 790.0  | 105860 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 791.0  | 105994 | 0.6198          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 792.0  | 106128 | 0.6197          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 793.0  | 106262 | 0.6202          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 794.0  | 106396 | 0.6235          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157        | 795.0  | 106530 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157        | 796.0  | 106664 | 0.6263          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157        | 797.0  | 106798 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157        | 798.0  | 106932 | 0.6199          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 799.0  | 107066 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 800.0  | 107200 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 801.0  | 107334 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 802.0  | 107468 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6192        | 803.0  | 107602 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6192        | 804.0  | 107736 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6192        | 805.0  | 107870 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 806.0  | 108004 | 0.6215          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 807.0  | 108138 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 808.0  | 108272 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 809.0  | 108406 | 0.6207          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182        | 810.0  | 108540 | 0.6221          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182        | 811.0  | 108674 | 0.6205          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182        | 812.0  | 108808 | 0.6196          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6182        | 813.0  | 108942 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 814.0  | 109076 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 815.0  | 109210 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 816.0  | 109344 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 817.0  | 109478 | 0.6217          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 818.0  | 109612 | 0.6193          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 819.0  | 109746 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 820.0  | 109880 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 821.0  | 110014 | 0.6194          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 822.0  | 110148 | 0.6257          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 823.0  | 110282 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 824.0  | 110416 | 0.6202          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177        | 825.0  | 110550 | 0.6191          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177        | 826.0  | 110684 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177        | 827.0  | 110818 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177        | 828.0  | 110952 | 0.6195          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6154        | 829.0  | 111086 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6154        | 830.0  | 111220 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6154        | 831.0  | 111354 | 0.6192          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6154        | 832.0  | 111488 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6166        | 833.0  | 111622 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6166        | 834.0  | 111756 | 0.6192          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6166        | 835.0  | 111890 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.617         | 836.0  | 112024 | 0.6194          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.617         | 837.0  | 112158 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.617         | 838.0  | 112292 | 0.6212          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.617         | 839.0  | 112426 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6166        | 840.0  | 112560 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6166        | 841.0  | 112694 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6166        | 842.0  | 112828 | 0.6203          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6166        | 843.0  | 112962 | 0.6199          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 844.0  | 113096 | 0.6212          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 845.0  | 113230 | 0.6196          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 846.0  | 113364 | 0.6207          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 847.0  | 113498 | 0.6198          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.617         | 848.0  | 113632 | 0.6199          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.617         | 849.0  | 113766 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.617         | 850.0  | 113900 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 851.0  | 114034 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 852.0  | 114168 | 0.6211          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 853.0  | 114302 | 0.6192          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 854.0  | 114436 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161        | 855.0  | 114570 | 0.6205          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161        | 856.0  | 114704 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161        | 857.0  | 114838 | 0.6192          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161        | 858.0  | 114972 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.618         | 859.0  | 115106 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.618         | 860.0  | 115240 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.618         | 861.0  | 115374 | 0.6201          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 862.0  | 115508 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 863.0  | 115642 | 0.6199          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 864.0  | 115776 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 865.0  | 115910 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177        | 866.0  | 116044 | 0.6232          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177        | 867.0  | 116178 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177        | 868.0  | 116312 | 0.6206          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6177        | 869.0  | 116446 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 870.0  | 116580 | 0.6191          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 871.0  | 116714 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 872.0  | 116848 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 873.0  | 116982 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6166        | 874.0  | 117116 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6166        | 875.0  | 117250 | 0.6197          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6166        | 876.0  | 117384 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 877.0  | 117518 | 0.6268          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 878.0  | 117652 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 879.0  | 117786 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 880.0  | 117920 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 881.0  | 118054 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 882.0  | 118188 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 883.0  | 118322 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 884.0  | 118456 | 0.6208          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.617         | 885.0  | 118590 | 0.6220          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.617         | 886.0  | 118724 | 0.6212          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.617         | 887.0  | 118858 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.617         | 888.0  | 118992 | 0.6199          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6165        | 889.0  | 119126 | 0.6235          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6165        | 890.0  | 119260 | 0.6192          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6165        | 891.0  | 119394 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 892.0  | 119528 | 0.6198          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 893.0  | 119662 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 894.0  | 119796 | 0.6195          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 895.0  | 119930 | 0.6198          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 896.0  | 120064 | 0.6212          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 897.0  | 120198 | 0.6199          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 898.0  | 120332 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 899.0  | 120466 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.617         | 900.0  | 120600 | 0.6202          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.617         | 901.0  | 120734 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.617         | 902.0  | 120868 | 0.6196          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 903.0  | 121002 | 0.6217          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 904.0  | 121136 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 905.0  | 121270 | 0.6191          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 906.0  | 121404 | 0.6195          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.616         | 907.0  | 121538 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.616         | 908.0  | 121672 | 0.6197          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.616         | 909.0  | 121806 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.616         | 910.0  | 121940 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6179        | 911.0  | 122074 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6179        | 912.0  | 122208 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6179        | 913.0  | 122342 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6179        | 914.0  | 122476 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 915.0  | 122610 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 916.0  | 122744 | 0.6290          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 917.0  | 122878 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 918.0  | 123012 | 0.6199          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 919.0  | 123146 | 0.6350          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 920.0  | 123280 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 921.0  | 123414 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.616         | 922.0  | 123548 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.616         | 923.0  | 123682 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.616         | 924.0  | 123816 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.616         | 925.0  | 123950 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 926.0  | 124084 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 927.0  | 124218 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 928.0  | 124352 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 929.0  | 124486 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.616         | 930.0  | 124620 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.616         | 931.0  | 124754 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.616         | 932.0  | 124888 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 933.0  | 125022 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 934.0  | 125156 | 0.6209          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 935.0  | 125290 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 936.0  | 125424 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 937.0  | 125558 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 938.0  | 125692 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 939.0  | 125826 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 940.0  | 125960 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6172        | 941.0  | 126094 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6172        | 942.0  | 126228 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6172        | 943.0  | 126362 | 0.6264          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6172        | 944.0  | 126496 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 945.0  | 126630 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 946.0  | 126764 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 947.0  | 126898 | 0.6191          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174        | 948.0  | 127032 | 0.6198          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174        | 949.0  | 127166 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174        | 950.0  | 127300 | 0.6213          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174        | 951.0  | 127434 | 0.6246          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6185        | 952.0  | 127568 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6185        | 953.0  | 127702 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6185        | 954.0  | 127836 | 0.6193          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6185        | 955.0  | 127970 | 0.6193          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6144        | 956.0  | 128104 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6144        | 957.0  | 128238 | 0.6231          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6144        | 958.0  | 128372 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6168        | 959.0  | 128506 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6168        | 960.0  | 128640 | 0.6192          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6168        | 961.0  | 128774 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6168        | 962.0  | 128908 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6134        | 963.0  | 129042 | 0.6221          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6134        | 964.0  | 129176 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6134        | 965.0  | 129310 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6134        | 966.0  | 129444 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174        | 967.0  | 129578 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174        | 968.0  | 129712 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174        | 969.0  | 129846 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174        | 970.0  | 129980 | 0.6217          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6163        | 971.0  | 130114 | 0.6224          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6163        | 972.0  | 130248 | 0.6202          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6163        | 973.0  | 130382 | 0.6277          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6162        | 974.0  | 130516 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6162        | 975.0  | 130650 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6162        | 976.0  | 130784 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6162        | 977.0  | 130918 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 978.0  | 131052 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 979.0  | 131186 | 0.6200          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 980.0  | 131320 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 981.0  | 131454 | 0.6205          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6181        | 982.0  | 131588 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6181        | 983.0  | 131722 | 0.6215          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6181        | 984.0  | 131856 | 0.6224          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6181        | 985.0  | 131990 | 0.6194          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 986.0  | 132124 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 987.0  | 132258 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 988.0  | 132392 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 989.0  | 132526 | 0.6201          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 990.0  | 132660 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 991.0  | 132794 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 992.0  | 132928 | 0.6200          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 993.0  | 133062 | 0.6201          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 994.0  | 133196 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 995.0  | 133330 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 996.0  | 133464 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6141        | 997.0  | 133598 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6141        | 998.0  | 133732 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6141        | 999.0  | 133866 | 0.6192          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191        | 1000.0 | 134000 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191        | 1001.0 | 134134 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191        | 1002.0 | 134268 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6191        | 1003.0 | 134402 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 1004.0 | 134536 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 1005.0 | 134670 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 1006.0 | 134804 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 1007.0 | 134938 | 0.6196          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161        | 1008.0 | 135072 | 0.6300          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161        | 1009.0 | 135206 | 0.6216          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161        | 1010.0 | 135340 | 0.6209          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161        | 1011.0 | 135474 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6144        | 1012.0 | 135608 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6144        | 1013.0 | 135742 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6144        | 1014.0 | 135876 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1015.0 | 136010 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1016.0 | 136144 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1017.0 | 136278 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1018.0 | 136412 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161        | 1019.0 | 136546 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161        | 1020.0 | 136680 | 0.6210          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161        | 1021.0 | 136814 | 0.6198          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161        | 1022.0 | 136948 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 1023.0 | 137082 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 1024.0 | 137216 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 1025.0 | 137350 | 0.6191          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 1026.0 | 137484 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6166        | 1027.0 | 137618 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6166        | 1028.0 | 137752 | 0.6191          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6166        | 1029.0 | 137886 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6152        | 1030.0 | 138020 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6152        | 1031.0 | 138154 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6152        | 1032.0 | 138288 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6152        | 1033.0 | 138422 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6148        | 1034.0 | 138556 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6148        | 1035.0 | 138690 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6148        | 1036.0 | 138824 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6148        | 1037.0 | 138958 | 0.6218          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6148        | 1038.0 | 139092 | 0.6193          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6148        | 1039.0 | 139226 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6148        | 1040.0 | 139360 | 0.6192          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6148        | 1041.0 | 139494 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6165        | 1042.0 | 139628 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6165        | 1043.0 | 139762 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6165        | 1044.0 | 139896 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 1045.0 | 140030 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 1046.0 | 140164 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 1047.0 | 140298 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 1048.0 | 140432 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1049.0 | 140566 | 0.6209          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1050.0 | 140700 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1051.0 | 140834 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1052.0 | 140968 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 1053.0 | 141102 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 1054.0 | 141236 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 1055.0 | 141370 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157        | 1056.0 | 141504 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157        | 1057.0 | 141638 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157        | 1058.0 | 141772 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157        | 1059.0 | 141906 | 0.6205          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 1060.0 | 142040 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 1061.0 | 142174 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 1062.0 | 142308 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 1063.0 | 142442 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 1064.0 | 142576 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 1065.0 | 142710 | 0.6258          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 1066.0 | 142844 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 1067.0 | 142978 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1068.0 | 143112 | 0.6194          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1069.0 | 143246 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1070.0 | 143380 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6175        | 1071.0 | 143514 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6175        | 1072.0 | 143648 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6175        | 1073.0 | 143782 | 0.6219          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6175        | 1074.0 | 143916 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6166        | 1075.0 | 144050 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6166        | 1076.0 | 144184 | 0.6195          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6166        | 1077.0 | 144318 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6166        | 1078.0 | 144452 | 0.6213          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6144        | 1079.0 | 144586 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6144        | 1080.0 | 144720 | 0.6194          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6144        | 1081.0 | 144854 | 0.6197          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6144        | 1082.0 | 144988 | 0.6249          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6139        | 1083.0 | 145122 | 0.6256          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6139        | 1084.0 | 145256 | 0.6199          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6139        | 1085.0 | 145390 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6178        | 1086.0 | 145524 | 0.6198          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6178        | 1087.0 | 145658 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6178        | 1088.0 | 145792 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6178        | 1089.0 | 145926 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6136        | 1090.0 | 146060 | 0.6193          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6136        | 1091.0 | 146194 | 0.6200          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6136        | 1092.0 | 146328 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6136        | 1093.0 | 146462 | 0.6232          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1094.0 | 146596 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1095.0 | 146730 | 0.6193          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1096.0 | 146864 | 0.6214          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1097.0 | 146998 | 0.6203          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6172        | 1098.0 | 147132 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6172        | 1099.0 | 147266 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6172        | 1100.0 | 147400 | 0.6201          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6147        | 1101.0 | 147534 | 0.6191          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6147        | 1102.0 | 147668 | 0.6205          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6147        | 1103.0 | 147802 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6147        | 1104.0 | 147936 | 0.6412          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 1105.0 | 148070 | 0.6224          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 1106.0 | 148204 | 0.6201          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 1107.0 | 148338 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 1108.0 | 148472 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 1109.0 | 148606 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 1110.0 | 148740 | 0.6203          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 1111.0 | 148874 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1112.0 | 149008 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1113.0 | 149142 | 0.6191          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1114.0 | 149276 | 0.6259          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1115.0 | 149410 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6153        | 1116.0 | 149544 | 0.6194          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6153        | 1117.0 | 149678 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6153        | 1118.0 | 149812 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6153        | 1119.0 | 149946 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1120.0 | 150080 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1121.0 | 150214 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1122.0 | 150348 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1123.0 | 150482 | 0.6195          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6164        | 1124.0 | 150616 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6164        | 1125.0 | 150750 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6164        | 1126.0 | 150884 | 0.6199          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1127.0 | 151018 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1128.0 | 151152 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1129.0 | 151286 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1130.0 | 151420 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 1131.0 | 151554 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 1132.0 | 151688 | 0.6216          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 1133.0 | 151822 | 0.6204          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 1134.0 | 151956 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.616         | 1135.0 | 152090 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.616         | 1136.0 | 152224 | 0.6203          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.616         | 1137.0 | 152358 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.616         | 1138.0 | 152492 | 0.6193          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.616         | 1139.0 | 152626 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.616         | 1140.0 | 152760 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.616         | 1141.0 | 152894 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 1142.0 | 153028 | 0.6260          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 1143.0 | 153162 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 1144.0 | 153296 | 0.6231          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 1145.0 | 153430 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6131        | 1146.0 | 153564 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6131        | 1147.0 | 153698 | 0.6198          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6131        | 1148.0 | 153832 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6131        | 1149.0 | 153966 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6188        | 1150.0 | 154100 | 0.6201          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6188        | 1151.0 | 154234 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6188        | 1152.0 | 154368 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6118        | 1153.0 | 154502 | 0.6237          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6118        | 1154.0 | 154636 | 0.6201          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6118        | 1155.0 | 154770 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6118        | 1156.0 | 154904 | 0.6200          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1157.0 | 155038 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1158.0 | 155172 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1159.0 | 155306 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1160.0 | 155440 | 0.6193          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6171        | 1161.0 | 155574 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6171        | 1162.0 | 155708 | 0.6209          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6171        | 1163.0 | 155842 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6171        | 1164.0 | 155976 | 0.6193          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6162        | 1165.0 | 156110 | 0.6191          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6162        | 1166.0 | 156244 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6162        | 1167.0 | 156378 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6141        | 1168.0 | 156512 | 0.6239          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6141        | 1169.0 | 156646 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6141        | 1170.0 | 156780 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6141        | 1171.0 | 156914 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 1172.0 | 157048 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 1173.0 | 157182 | 0.6201          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 1174.0 | 157316 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 1175.0 | 157450 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 1176.0 | 157584 | 0.6192          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 1177.0 | 157718 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 1178.0 | 157852 | 0.6192          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 1179.0 | 157986 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 1180.0 | 158120 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 1181.0 | 158254 | 0.6201          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 1182.0 | 158388 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1183.0 | 158522 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1184.0 | 158656 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1185.0 | 158790 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1186.0 | 158924 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 1187.0 | 159058 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 1188.0 | 159192 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 1189.0 | 159326 | 0.6200          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 1190.0 | 159460 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6136        | 1191.0 | 159594 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6136        | 1192.0 | 159728 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6136        | 1193.0 | 159862 | 0.6197          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6136        | 1194.0 | 159996 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 1195.0 | 160130 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 1196.0 | 160264 | 0.6204          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 1197.0 | 160398 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 1198.0 | 160532 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 1199.0 | 160666 | 0.6210          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 1200.0 | 160800 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 1201.0 | 160934 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1202.0 | 161068 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1203.0 | 161202 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1204.0 | 161336 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1205.0 | 161470 | 0.6195          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6164        | 1206.0 | 161604 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6164        | 1207.0 | 161738 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6164        | 1208.0 | 161872 | 0.6204          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6154        | 1209.0 | 162006 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6154        | 1210.0 | 162140 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6154        | 1211.0 | 162274 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6154        | 1212.0 | 162408 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6168        | 1213.0 | 162542 | 0.6202          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6168        | 1214.0 | 162676 | 0.6191          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6168        | 1215.0 | 162810 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6168        | 1216.0 | 162944 | 0.6194          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6133        | 1217.0 | 163078 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6133        | 1218.0 | 163212 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6133        | 1219.0 | 163346 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6133        | 1220.0 | 163480 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 1221.0 | 163614 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 1222.0 | 163748 | 0.6204          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6169        | 1223.0 | 163882 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1224.0 | 164016 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1225.0 | 164150 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1226.0 | 164284 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1227.0 | 164418 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 1228.0 | 164552 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 1229.0 | 164686 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 1230.0 | 164820 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 1231.0 | 164954 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 1232.0 | 165088 | 0.6195          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 1233.0 | 165222 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 1234.0 | 165356 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 1235.0 | 165490 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174        | 1236.0 | 165624 | 0.6197          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174        | 1237.0 | 165758 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174        | 1238.0 | 165892 | 0.6218          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 1239.0 | 166026 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 1240.0 | 166160 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 1241.0 | 166294 | 0.6222          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 1242.0 | 166428 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6115        | 1243.0 | 166562 | 0.6192          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6115        | 1244.0 | 166696 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6115        | 1245.0 | 166830 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6115        | 1246.0 | 166964 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6187        | 1247.0 | 167098 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6187        | 1248.0 | 167232 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6187        | 1249.0 | 167366 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 1250.0 | 167500 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 1251.0 | 167634 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 1252.0 | 167768 | 0.6205          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 1253.0 | 167902 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1254.0 | 168036 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1255.0 | 168170 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1256.0 | 168304 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1257.0 | 168438 | 0.6191          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1258.0 | 168572 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1259.0 | 168706 | 0.6191          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1260.0 | 168840 | 0.6210          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1261.0 | 168974 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1262.0 | 169108 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1263.0 | 169242 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1264.0 | 169376 | 0.6193          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 1265.0 | 169510 | 0.6196          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 1266.0 | 169644 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 1267.0 | 169778 | 0.6226          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 1268.0 | 169912 | 0.6206          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1269.0 | 170046 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1270.0 | 170180 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1271.0 | 170314 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1272.0 | 170448 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 1273.0 | 170582 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 1274.0 | 170716 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 1275.0 | 170850 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 1276.0 | 170984 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6153        | 1277.0 | 171118 | 0.6215          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6153        | 1278.0 | 171252 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6153        | 1279.0 | 171386 | 0.6195          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6131        | 1280.0 | 171520 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6131        | 1281.0 | 171654 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6131        | 1282.0 | 171788 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6131        | 1283.0 | 171922 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6172        | 1284.0 | 172056 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6172        | 1285.0 | 172190 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6172        | 1286.0 | 172324 | 0.6193          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6172        | 1287.0 | 172458 | 0.6214          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6107        | 1288.0 | 172592 | 0.6298          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6107        | 1289.0 | 172726 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6107        | 1290.0 | 172860 | 0.6202          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6107        | 1291.0 | 172994 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 1292.0 | 173128 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 1293.0 | 173262 | 0.6192          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6173        | 1294.0 | 173396 | 0.6192          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 1295.0 | 173530 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 1296.0 | 173664 | 0.6227          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 1297.0 | 173798 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6167        | 1298.0 | 173932 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1299.0 | 174066 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1300.0 | 174200 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1301.0 | 174334 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1302.0 | 174468 | 0.6198          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 1303.0 | 174602 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 1304.0 | 174736 | 0.6256          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 1305.0 | 174870 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6152        | 1306.0 | 175004 | 0.6202          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6152        | 1307.0 | 175138 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6152        | 1308.0 | 175272 | 0.6192          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6152        | 1309.0 | 175406 | 0.6192          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6136        | 1310.0 | 175540 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6136        | 1311.0 | 175674 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6136        | 1312.0 | 175808 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6136        | 1313.0 | 175942 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6181        | 1314.0 | 176076 | 0.6193          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6181        | 1315.0 | 176210 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6181        | 1316.0 | 176344 | 0.6193          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6181        | 1317.0 | 176478 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6119        | 1318.0 | 176612 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6119        | 1319.0 | 176746 | 0.6206          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6119        | 1320.0 | 176880 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174        | 1321.0 | 177014 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174        | 1322.0 | 177148 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174        | 1323.0 | 177282 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6174        | 1324.0 | 177416 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6148        | 1325.0 | 177550 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6148        | 1326.0 | 177684 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6148        | 1327.0 | 177818 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6148        | 1328.0 | 177952 | 0.6196          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 1329.0 | 178086 | 0.6194          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 1330.0 | 178220 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 1331.0 | 178354 | 0.6228          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 1332.0 | 178488 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157        | 1333.0 | 178622 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157        | 1334.0 | 178756 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157        | 1335.0 | 178890 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6139        | 1336.0 | 179024 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6139        | 1337.0 | 179158 | 0.6191          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6139        | 1338.0 | 179292 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6139        | 1339.0 | 179426 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161        | 1340.0 | 179560 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161        | 1341.0 | 179694 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161        | 1342.0 | 179828 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161        | 1343.0 | 179962 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1344.0 | 180096 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1345.0 | 180230 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1346.0 | 180364 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1347.0 | 180498 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157        | 1348.0 | 180632 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157        | 1349.0 | 180766 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157        | 1350.0 | 180900 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1351.0 | 181034 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1352.0 | 181168 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1353.0 | 181302 | 0.6196          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1354.0 | 181436 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1355.0 | 181570 | 0.6197          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1356.0 | 181704 | 0.6216          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1357.0 | 181838 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1358.0 | 181972 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1359.0 | 182106 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1360.0 | 182240 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1361.0 | 182374 | 0.6201          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 1362.0 | 182508 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 1363.0 | 182642 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 1364.0 | 182776 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 1365.0 | 182910 | 0.6192          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1366.0 | 183044 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1367.0 | 183178 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1368.0 | 183312 | 0.6194          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1369.0 | 183446 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 1370.0 | 183580 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 1371.0 | 183714 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 1372.0 | 183848 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 1373.0 | 183982 | 0.6226          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161        | 1374.0 | 184116 | 0.6193          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161        | 1375.0 | 184250 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6161        | 1376.0 | 184384 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6123        | 1377.0 | 184518 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6123        | 1378.0 | 184652 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6123        | 1379.0 | 184786 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6123        | 1380.0 | 184920 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 1381.0 | 185054 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 1382.0 | 185188 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 1383.0 | 185322 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 1384.0 | 185456 | 0.6216          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157        | 1385.0 | 185590 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157        | 1386.0 | 185724 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157        | 1387.0 | 185858 | 0.6200          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6157        | 1388.0 | 185992 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6131        | 1389.0 | 186126 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6131        | 1390.0 | 186260 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6131        | 1391.0 | 186394 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1392.0 | 186528 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1393.0 | 186662 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1394.0 | 186796 | 0.6194          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1395.0 | 186930 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6168        | 1396.0 | 187064 | 0.6220          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6168        | 1397.0 | 187198 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6168        | 1398.0 | 187332 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6168        | 1399.0 | 187466 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6133        | 1400.0 | 187600 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6133        | 1401.0 | 187734 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6133        | 1402.0 | 187868 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 1403.0 | 188002 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 1404.0 | 188136 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 1405.0 | 188270 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6158        | 1406.0 | 188404 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6132        | 1407.0 | 188538 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6132        | 1408.0 | 188672 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6132        | 1409.0 | 188806 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6132        | 1410.0 | 188940 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6168        | 1411.0 | 189074 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6168        | 1412.0 | 189208 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6168        | 1413.0 | 189342 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6168        | 1414.0 | 189476 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1415.0 | 189610 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1416.0 | 189744 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1417.0 | 189878 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1418.0 | 190012 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1419.0 | 190146 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1420.0 | 190280 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1421.0 | 190414 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6162        | 1422.0 | 190548 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6162        | 1423.0 | 190682 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6162        | 1424.0 | 190816 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6162        | 1425.0 | 190950 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6135        | 1426.0 | 191084 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6135        | 1427.0 | 191218 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6135        | 1428.0 | 191352 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6135        | 1429.0 | 191486 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6139        | 1430.0 | 191620 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6139        | 1431.0 | 191754 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6139        | 1432.0 | 191888 | 0.6191          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6163        | 1433.0 | 192022 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6163        | 1434.0 | 192156 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6163        | 1435.0 | 192290 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6163        | 1436.0 | 192424 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6139        | 1437.0 | 192558 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6139        | 1438.0 | 192692 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6139        | 1439.0 | 192826 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6139        | 1440.0 | 192960 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6148        | 1441.0 | 193094 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6148        | 1442.0 | 193228 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6148        | 1443.0 | 193362 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6148        | 1444.0 | 193496 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 1445.0 | 193630 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 1446.0 | 193764 | 0.6196          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 1447.0 | 193898 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6128        | 1448.0 | 194032 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6128        | 1449.0 | 194166 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6128        | 1450.0 | 194300 | 0.6207          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6128        | 1451.0 | 194434 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 1452.0 | 194568 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 1453.0 | 194702 | 0.6226          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 1454.0 | 194836 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 1455.0 | 194970 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6163        | 1456.0 | 195104 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6163        | 1457.0 | 195238 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6163        | 1458.0 | 195372 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6133        | 1459.0 | 195506 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6133        | 1460.0 | 195640 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6133        | 1461.0 | 195774 | 0.6196          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6133        | 1462.0 | 195908 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6123        | 1463.0 | 196042 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6123        | 1464.0 | 196176 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6123        | 1465.0 | 196310 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6123        | 1466.0 | 196444 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6172        | 1467.0 | 196578 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6172        | 1468.0 | 196712 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6172        | 1469.0 | 196846 | 0.6191          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6172        | 1470.0 | 196980 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6144        | 1471.0 | 197114 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6144        | 1472.0 | 197248 | 0.6193          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6144        | 1473.0 | 197382 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6141        | 1474.0 | 197516 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6141        | 1475.0 | 197650 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6141        | 1476.0 | 197784 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6141        | 1477.0 | 197918 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 1478.0 | 198052 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 1479.0 | 198186 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 1480.0 | 198320 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 1481.0 | 198454 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1482.0 | 198588 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1483.0 | 198722 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1484.0 | 198856 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1485.0 | 198990 | 0.6192          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1486.0 | 199124 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1487.0 | 199258 | 0.6192          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1488.0 | 199392 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6126        | 1489.0 | 199526 | 0.6204          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6126        | 1490.0 | 199660 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6126        | 1491.0 | 199794 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6126        | 1492.0 | 199928 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6171        | 1493.0 | 200062 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6171        | 1494.0 | 200196 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6171        | 1495.0 | 200330 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6171        | 1496.0 | 200464 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 1497.0 | 200598 | 0.6229          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 1498.0 | 200732 | 0.6213          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 1499.0 | 200866 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6135        | 1500.0 | 201000 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6135        | 1501.0 | 201134 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6135        | 1502.0 | 201268 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6135        | 1503.0 | 201402 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1504.0 | 201536 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1505.0 | 201670 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1506.0 | 201804 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1507.0 | 201938 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1508.0 | 202072 | 0.6193          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1509.0 | 202206 | 0.6278          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1510.0 | 202340 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1511.0 | 202474 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1512.0 | 202608 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1513.0 | 202742 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1514.0 | 202876 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 1515.0 | 203010 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 1516.0 | 203144 | 0.6193          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 1517.0 | 203278 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 1518.0 | 203412 | 0.6196          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6125        | 1519.0 | 203546 | 0.6196          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6125        | 1520.0 | 203680 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6125        | 1521.0 | 203814 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6125        | 1522.0 | 203948 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6162        | 1523.0 | 204082 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6162        | 1524.0 | 204216 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6162        | 1525.0 | 204350 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6162        | 1526.0 | 204484 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1527.0 | 204618 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1528.0 | 204752 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1529.0 | 204886 | 0.6193          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1530.0 | 205020 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1531.0 | 205154 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1532.0 | 205288 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1533.0 | 205422 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 1534.0 | 205556 | 0.6211          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 1535.0 | 205690 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 1536.0 | 205824 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6176        | 1537.0 | 205958 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6132        | 1538.0 | 206092 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6132        | 1539.0 | 206226 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6132        | 1540.0 | 206360 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6132        | 1541.0 | 206494 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6132        | 1542.0 | 206628 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6132        | 1543.0 | 206762 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6132        | 1544.0 | 206896 | 0.6209          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1545.0 | 207030 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1546.0 | 207164 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1547.0 | 207298 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1548.0 | 207432 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1549.0 | 207566 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1550.0 | 207700 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1551.0 | 207834 | 0.6192          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1552.0 | 207968 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 1553.0 | 208102 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 1554.0 | 208236 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 1555.0 | 208370 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6132        | 1556.0 | 208504 | 0.6196          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6132        | 1557.0 | 208638 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6132        | 1558.0 | 208772 | 0.6214          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6132        | 1559.0 | 208906 | 0.6193          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1560.0 | 209040 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1561.0 | 209174 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1562.0 | 209308 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1563.0 | 209442 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1564.0 | 209576 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1565.0 | 209710 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1566.0 | 209844 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1567.0 | 209978 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6135        | 1568.0 | 210112 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6135        | 1569.0 | 210246 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6135        | 1570.0 | 210380 | 0.6196          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 1571.0 | 210514 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 1572.0 | 210648 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 1573.0 | 210782 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 1574.0 | 210916 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6129        | 1575.0 | 211050 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6129        | 1576.0 | 211184 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6129        | 1577.0 | 211318 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6129        | 1578.0 | 211452 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6163        | 1579.0 | 211586 | 0.6193          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6163        | 1580.0 | 211720 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6163        | 1581.0 | 211854 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6163        | 1582.0 | 211988 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6131        | 1583.0 | 212122 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6131        | 1584.0 | 212256 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6131        | 1585.0 | 212390 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6147        | 1586.0 | 212524 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6147        | 1587.0 | 212658 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6147        | 1588.0 | 212792 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6147        | 1589.0 | 212926 | 0.6192          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6163        | 1590.0 | 213060 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6163        | 1591.0 | 213194 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6163        | 1592.0 | 213328 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6163        | 1593.0 | 213462 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6127        | 1594.0 | 213596 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6127        | 1595.0 | 213730 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6127        | 1596.0 | 213864 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6127        | 1597.0 | 213998 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1598.0 | 214132 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1599.0 | 214266 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1600.0 | 214400 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1601.0 | 214534 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1602.0 | 214668 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1603.0 | 214802 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1604.0 | 214936 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 1605.0 | 215070 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 1606.0 | 215204 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 1607.0 | 215338 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 1608.0 | 215472 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6128        | 1609.0 | 215606 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6128        | 1610.0 | 215740 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6128        | 1611.0 | 215874 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6144        | 1612.0 | 216008 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6144        | 1613.0 | 216142 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6144        | 1614.0 | 216276 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6144        | 1615.0 | 216410 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1616.0 | 216544 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1617.0 | 216678 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1618.0 | 216812 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1619.0 | 216946 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 1620.0 | 217080 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 1621.0 | 217214 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 1622.0 | 217348 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6151        | 1623.0 | 217482 | 0.6191          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6129        | 1624.0 | 217616 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6129        | 1625.0 | 217750 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6129        | 1626.0 | 217884 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1627.0 | 218018 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1628.0 | 218152 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1629.0 | 218286 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1630.0 | 218420 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6144        | 1631.0 | 218554 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6144        | 1632.0 | 218688 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6144        | 1633.0 | 218822 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6144        | 1634.0 | 218956 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6133        | 1635.0 | 219090 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6133        | 1636.0 | 219224 | 0.6190          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6133        | 1637.0 | 219358 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6133        | 1638.0 | 219492 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1639.0 | 219626 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1640.0 | 219760 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1641.0 | 219894 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1642.0 | 220028 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1643.0 | 220162 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1644.0 | 220296 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1645.0 | 220430 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1646.0 | 220564 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1647.0 | 220698 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1648.0 | 220832 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1649.0 | 220966 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6129        | 1650.0 | 221100 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6129        | 1651.0 | 221234 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6129        | 1652.0 | 221368 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1653.0 | 221502 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1654.0 | 221636 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1655.0 | 221770 | 0.6192          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1656.0 | 221904 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1657.0 | 222038 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1658.0 | 222172 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1659.0 | 222306 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1660.0 | 222440 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6147        | 1661.0 | 222574 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6147        | 1662.0 | 222708 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6147        | 1663.0 | 222842 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6147        | 1664.0 | 222976 | 0.6189          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1665.0 | 223110 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1666.0 | 223244 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1667.0 | 223378 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1668.0 | 223512 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1669.0 | 223646 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1670.0 | 223780 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1671.0 | 223914 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1672.0 | 224048 | 0.6192          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1673.0 | 224182 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1674.0 | 224316 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1675.0 | 224450 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1676.0 | 224584 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1677.0 | 224718 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1678.0 | 224852 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1679.0 | 224986 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1680.0 | 225120 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1681.0 | 225254 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1682.0 | 225388 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1683.0 | 225522 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1684.0 | 225656 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1685.0 | 225790 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1686.0 | 225924 | 0.6192          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6141        | 1687.0 | 226058 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6141        | 1688.0 | 226192 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6141        | 1689.0 | 226326 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6141        | 1690.0 | 226460 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 1691.0 | 226594 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 1692.0 | 226728 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 1693.0 | 226862 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 1694.0 | 226996 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6139        | 1695.0 | 227130 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6139        | 1696.0 | 227264 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6139        | 1697.0 | 227398 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6132        | 1698.0 | 227532 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6132        | 1699.0 | 227666 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6132        | 1700.0 | 227800 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6132        | 1701.0 | 227934 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1702.0 | 228068 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1703.0 | 228202 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1704.0 | 228336 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1705.0 | 228470 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 1706.0 | 228604 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 1707.0 | 228738 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 1708.0 | 228872 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1709.0 | 229006 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1710.0 | 229140 | 0.6210          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1711.0 | 229274 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1712.0 | 229408 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6106        | 1713.0 | 229542 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6106        | 1714.0 | 229676 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6106        | 1715.0 | 229810 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6106        | 1716.0 | 229944 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.618         | 1717.0 | 230078 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.618         | 1718.0 | 230212 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.618         | 1719.0 | 230346 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.618         | 1720.0 | 230480 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6147        | 1721.0 | 230614 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6147        | 1722.0 | 230748 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6147        | 1723.0 | 230882 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1724.0 | 231016 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1725.0 | 231150 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1726.0 | 231284 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1727.0 | 231418 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 1728.0 | 231552 | 0.6197          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 1729.0 | 231686 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 1730.0 | 231820 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6155        | 1731.0 | 231954 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6106        | 1732.0 | 232088 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6106        | 1733.0 | 232222 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6106        | 1734.0 | 232356 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6106        | 1735.0 | 232490 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6152        | 1736.0 | 232624 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6152        | 1737.0 | 232758 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6152        | 1738.0 | 232892 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 1739.0 | 233026 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 1740.0 | 233160 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 1741.0 | 233294 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 1742.0 | 233428 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1743.0 | 233562 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1744.0 | 233696 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1745.0 | 233830 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1746.0 | 233964 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 1747.0 | 234098 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 1748.0 | 234232 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 1749.0 | 234366 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1750.0 | 234500 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1751.0 | 234634 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1752.0 | 234768 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1753.0 | 234902 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1754.0 | 235036 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1755.0 | 235170 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1756.0 | 235304 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1757.0 | 235438 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6134        | 1758.0 | 235572 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6134        | 1759.0 | 235706 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6134        | 1760.0 | 235840 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6134        | 1761.0 | 235974 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6126        | 1762.0 | 236108 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6126        | 1763.0 | 236242 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6126        | 1764.0 | 236376 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6152        | 1765.0 | 236510 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6152        | 1766.0 | 236644 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6152        | 1767.0 | 236778 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6152        | 1768.0 | 236912 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6153        | 1769.0 | 237046 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6153        | 1770.0 | 237180 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6153        | 1771.0 | 237314 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6153        | 1772.0 | 237448 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1773.0 | 237582 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1774.0 | 237716 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1775.0 | 237850 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1776.0 | 237984 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6133        | 1777.0 | 238118 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6133        | 1778.0 | 238252 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6133        | 1779.0 | 238386 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 1780.0 | 238520 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 1781.0 | 238654 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 1782.0 | 238788 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 1783.0 | 238922 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6141        | 1784.0 | 239056 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6141        | 1785.0 | 239190 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6141        | 1786.0 | 239324 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6141        | 1787.0 | 239458 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6115        | 1788.0 | 239592 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6115        | 1789.0 | 239726 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6115        | 1790.0 | 239860 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6115        | 1791.0 | 239994 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6147        | 1792.0 | 240128 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6147        | 1793.0 | 240262 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6147        | 1794.0 | 240396 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 1795.0 | 240530 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 1796.0 | 240664 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 1797.0 | 240798 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6159        | 1798.0 | 240932 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6123        | 1799.0 | 241066 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6123        | 1800.0 | 241200 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6123        | 1801.0 | 241334 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6123        | 1802.0 | 241468 | 0.6187          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6147        | 1803.0 | 241602 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6147        | 1804.0 | 241736 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6147        | 1805.0 | 241870 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1806.0 | 242004 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1807.0 | 242138 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1808.0 | 242272 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1809.0 | 242406 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.616         | 1810.0 | 242540 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.616         | 1811.0 | 242674 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.616         | 1812.0 | 242808 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.616         | 1813.0 | 242942 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6119        | 1814.0 | 243076 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6119        | 1815.0 | 243210 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6119        | 1816.0 | 243344 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6119        | 1817.0 | 243478 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6144        | 1818.0 | 243612 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6144        | 1819.0 | 243746 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6144        | 1820.0 | 243880 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6135        | 1821.0 | 244014 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6135        | 1822.0 | 244148 | 0.6188          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6135        | 1823.0 | 244282 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6135        | 1824.0 | 244416 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 1825.0 | 244550 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 1826.0 | 244684 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 1827.0 | 244818 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 1828.0 | 244952 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6135        | 1829.0 | 245086 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6135        | 1830.0 | 245220 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6135        | 1831.0 | 245354 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6135        | 1832.0 | 245488 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6141        | 1833.0 | 245622 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6141        | 1834.0 | 245756 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6141        | 1835.0 | 245890 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6148        | 1836.0 | 246024 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6148        | 1837.0 | 246158 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6148        | 1838.0 | 246292 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6148        | 1839.0 | 246426 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6122        | 1840.0 | 246560 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6122        | 1841.0 | 246694 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6122        | 1842.0 | 246828 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6122        | 1843.0 | 246962 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 1844.0 | 247096 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 1845.0 | 247230 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 1846.0 | 247364 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 1847.0 | 247498 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1848.0 | 247632 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1849.0 | 247766 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1850.0 | 247900 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6152        | 1851.0 | 248034 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6152        | 1852.0 | 248168 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6152        | 1853.0 | 248302 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6152        | 1854.0 | 248436 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6117        | 1855.0 | 248570 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6117        | 1856.0 | 248704 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6117        | 1857.0 | 248838 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6117        | 1858.0 | 248972 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.617         | 1859.0 | 249106 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.617         | 1860.0 | 249240 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.617         | 1861.0 | 249374 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 1862.0 | 249508 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 1863.0 | 249642 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 1864.0 | 249776 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6138        | 1865.0 | 249910 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6129        | 1866.0 | 250044 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6129        | 1867.0 | 250178 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6129        | 1868.0 | 250312 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6129        | 1869.0 | 250446 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1870.0 | 250580 | 0.6186          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1871.0 | 250714 | 0.6185          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1872.0 | 250848 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6156        | 1873.0 | 250982 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1874.0 | 251116 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1875.0 | 251250 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1876.0 | 251384 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6115        | 1877.0 | 251518 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6115        | 1878.0 | 251652 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6115        | 1879.0 | 251786 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6115        | 1880.0 | 251920 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 1881.0 | 252054 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 1882.0 | 252188 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 1883.0 | 252322 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.615         | 1884.0 | 252456 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6136        | 1885.0 | 252590 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6136        | 1886.0 | 252724 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6136        | 1887.0 | 252858 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6136        | 1888.0 | 252992 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1889.0 | 253126 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1890.0 | 253260 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6146        | 1891.0 | 253394 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1892.0 | 253528 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1893.0 | 253662 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1894.0 | 253796 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6145        | 1895.0 | 253930 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6134        | 1896.0 | 254064 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6134        | 1897.0 | 254198 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6134        | 1898.0 | 254332 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6134        | 1899.0 | 254466 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1900.0 | 254600 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1901.0 | 254734 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.614         | 1902.0 | 254868 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6126        | 1903.0 | 255002 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6126        | 1904.0 | 255136 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6126        | 1905.0 | 255270 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6126        | 1906.0 | 255404 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6128        | 1907.0 | 255538 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6128        | 1908.0 | 255672 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6128        | 1909.0 | 255806 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6128        | 1910.0 | 255940 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6153        | 1911.0 | 256074 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6153        | 1912.0 | 256208 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6153        | 1913.0 | 256342 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6153        | 1914.0 | 256476 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6136        | 1915.0 | 256610 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6136        | 1916.0 | 256744 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6136        | 1917.0 | 256878 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6128        | 1918.0 | 257012 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6128        | 1919.0 | 257146 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6128        | 1920.0 | 257280 | 0.6184          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6128        | 1921.0 | 257414 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6147        | 1922.0 | 257548 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6147        | 1923.0 | 257682 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6147        | 1924.0 | 257816 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6147        | 1925.0 | 257950 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6136        | 1926.0 | 258084 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6136        | 1927.0 | 258218 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6136        | 1928.0 | 258352 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6136        | 1929.0 | 258486 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6139        | 1930.0 | 258620 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6139        | 1931.0 | 258754 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6139        | 1932.0 | 258888 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6134        | 1933.0 | 259022 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6134        | 1934.0 | 259156 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6134        | 1935.0 | 259290 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6134        | 1936.0 | 259424 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6148        | 1937.0 | 259558 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6148        | 1938.0 | 259692 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6148        | 1939.0 | 259826 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6148        | 1940.0 | 259960 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6126        | 1941.0 | 260094 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6126        | 1942.0 | 260228 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6126        | 1943.0 | 260362 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6126        | 1944.0 | 260496 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1945.0 | 260630 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1946.0 | 260764 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1947.0 | 260898 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1948.0 | 261032 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1949.0 | 261166 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1950.0 | 261300 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6143        | 1951.0 | 261434 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1952.0 | 261568 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1953.0 | 261702 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1954.0 | 261836 | 0.6183          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6142        | 1955.0 | 261970 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6132        | 1956.0 | 262104 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6132        | 1957.0 | 262238 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6132        | 1958.0 | 262372 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6126        | 1959.0 | 262506 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6126        | 1960.0 | 262640 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6126        | 1961.0 | 262774 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6126        | 1962.0 | 262908 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6148        | 1963.0 | 263042 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6148        | 1964.0 | 263176 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6148        | 1965.0 | 263310 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6148        | 1966.0 | 263444 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6131        | 1967.0 | 263578 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6131        | 1968.0 | 263712 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6131        | 1969.0 | 263846 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6131        | 1970.0 | 263980 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6144        | 1971.0 | 264114 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6144        | 1972.0 | 264248 | 0.6181          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6144        | 1973.0 | 264382 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6133        | 1974.0 | 264516 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6133        | 1975.0 | 264650 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6133        | 1976.0 | 264784 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6133        | 1977.0 | 264918 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1978.0 | 265052 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1979.0 | 265186 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1980.0 | 265320 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1981.0 | 265454 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6133        | 1982.0 | 265588 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6133        | 1983.0 | 265722 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6133        | 1984.0 | 265856 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6133        | 1985.0 | 265990 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1986.0 | 266124 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1987.0 | 266258 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1988.0 | 266392 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6134        | 1989.0 | 266526 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6134        | 1990.0 | 266660 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6134        | 1991.0 | 266794 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6134        | 1992.0 | 266928 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1993.0 | 267062 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1994.0 | 267196 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1995.0 | 267330 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6137        | 1996.0 | 267464 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6118        | 1997.0 | 267598 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6118        | 1998.0 | 267732 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6118        | 1999.0 | 267866 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.6149        | 2000.0 | 268000 | 0.6182          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |


### Framework versions

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