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_214
  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_214

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: 4.1976
- F1: {'f1': 0.7852222917971196}
- Accuracy: {'accuracy': 0.6711409395973155}

## 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    | 14    | 0.6256          | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| No log        | 2.0    | 28    | 0.6609          | {'f1': 0.7648612945838837} | {'accuracy': 0.6586768935762224} |
| No log        | 3.0    | 42    | 0.6389          | {'f1': 0.8160000000000001} | {'accuracy': 0.6912751677852349} |
| No log        | 4.0    | 56    | 0.6437          | {'f1': 0.8156424581005587} | {'accuracy': 0.7152444870565676} |
| No log        | 5.0    | 70    | 0.9414          | {'f1': 0.8238012709416522} | {'accuracy': 0.7075743048897412} |
| No log        | 6.0    | 84    | 0.7093          | {'f1': 0.7710144927536231} | {'accuracy': 0.6970278044103547} |
| No log        | 7.0    | 98    | 0.8908          | {'f1': 0.8266666666666668} | {'accuracy': 0.738255033557047}  |
| No log        | 8.0    | 112   | 1.5048          | {'f1': 0.8314606741573034} | {'accuracy': 0.7411313518696069} |
| No log        | 9.0    | 126   | 1.4047          | {'f1': 0.8164893617021277} | {'accuracy': 0.7353787152444871} |
| No log        | 10.0   | 140   | 1.3153          | {'f1': 0.8258956631049654} | {'accuracy': 0.7344199424736337} |
| No log        | 11.0   | 154   | 1.9940          | {'f1': 0.8376777251184834} | {'accuracy': 0.7372962607861937} |
| No log        | 12.0   | 168   | 1.7543          | {'f1': 0.8381995133819953} | {'accuracy': 0.7449664429530202} |
| No log        | 13.0   | 182   | 1.3665          | {'f1': 0.8373493975903615} | {'accuracy': 0.7411313518696069} |
| No log        | 14.0   | 196   | 1.4161          | {'f1': 0.8407079646017699} | {'accuracy': 0.7583892617449665} |
| No log        | 15.0   | 210   | 1.6762          | {'f1': 0.8419753086419752} | {'accuracy': 0.7545541706615532} |
| No log        | 16.0   | 224   | 1.5025          | {'f1': 0.8335467349551857} | {'accuracy': 0.75071907957814}   |
| No log        | 17.0   | 238   | 1.8215          | {'f1': 0.8324056895485467} | {'accuracy': 0.7401725790987536} |
| No log        | 18.0   | 252   | 2.1709          | {'f1': 0.8317535545023695} | {'accuracy': 0.7277085330776606} |
| No log        | 19.0   | 266   | 1.6465          | {'f1': 0.7889908256880733} | {'accuracy': 0.713326941514861}  |
| No log        | 20.0   | 280   | 2.0726          | {'f1': 0.8335329341317366} | {'accuracy': 0.7334611697027804} |
| No log        | 21.0   | 294   | 1.7360          | {'f1': 0.8367593712212817} | {'accuracy': 0.7411313518696069} |
| No log        | 22.0   | 308   | 1.8625          | {'f1': 0.835838845460012}  | {'accuracy': 0.738255033557047}  |
| No log        | 23.0   | 322   | 1.9270          | {'f1': 0.8316953316953316} | {'accuracy': 0.7372962607861937} |
| No log        | 24.0   | 336   | 2.0441          | {'f1': 0.8258391386953768} | {'accuracy': 0.7363374880153404} |
| No log        | 25.0   | 350   | 2.5576          | {'f1': 0.832349468713105}  | {'accuracy': 0.7277085330776606} |
| No log        | 26.0   | 364   | 1.7861          | {'f1': 0.8256765261170548} | {'accuracy': 0.7344199424736337} |
| No log        | 27.0   | 378   | 1.9904          | {'f1': 0.8368967623701894} | {'accuracy': 0.7440076701821668} |
| No log        | 28.0   | 392   | 2.0872          | {'f1': 0.8350578210590383} | {'accuracy': 0.7401725790987536} |
| No log        | 29.0   | 406   | 2.1188          | {'f1': 0.8364972443355787} | {'accuracy': 0.7440076701821668} |
| No log        | 30.0   | 420   | 2.0073          | {'f1': 0.8300694883133292} | {'accuracy': 0.7420901246404602} |
| No log        | 31.0   | 434   | 2.0161          | {'f1': 0.8262253341820497} | {'accuracy': 0.738255033557047}  |
| No log        | 32.0   | 448   | 2.5507          | {'f1': 0.8366013071895425} | {'accuracy': 0.7363374880153404} |
| No log        | 33.0   | 462   | 2.2677          | {'f1': 0.8296668761785041} | {'accuracy': 0.7401725790987536} |
| No log        | 34.0   | 476   | 2.4882          | {'f1': 0.8405797101449276} | {'accuracy': 0.7468839884947267} |
| No log        | 35.0   | 490   | 1.9225          | {'f1': 0.8298807281858129} | {'accuracy': 0.7401725790987536} |
| 0.1253        | 36.0   | 504   | 2.4305          | {'f1': 0.8370720188902008} | {'accuracy': 0.7353787152444871} |
| 0.1253        | 37.0   | 518   | 1.9073          | {'f1': 0.7991886409736308} | {'accuracy': 0.7152444870565676} |
| 0.1253        | 38.0   | 532   | 2.5791          | {'f1': 0.8360849056603774} | {'accuracy': 0.7334611697027804} |
| 0.1253        | 39.0   | 546   | 2.4886          | {'f1': 0.8359096313912009} | {'accuracy': 0.7353787152444871} |
| 0.1253        | 40.0   | 560   | 2.1634          | {'f1': 0.8356923076923077} | {'accuracy': 0.7440076701821668} |
| 0.1253        | 41.0   | 574   | 2.0535          | {'f1': 0.8412600370599136} | {'accuracy': 0.7535953978907}    |
| 0.1253        | 42.0   | 588   | 2.2921          | {'f1': 0.8374325134973004} | {'accuracy': 0.7401725790987536} |
| 0.1253        | 43.0   | 602   | 1.9332          | {'f1': 0.7579102281089036} | {'accuracy': 0.6845637583892618} |
| 0.1253        | 44.0   | 616   | 2.2699          | {'f1': 0.8439587128111719} | {'accuracy': 0.7535953978907}    |
| 0.1253        | 45.0   | 630   | 1.9497          | {'f1': 0.8336293664890467} | {'accuracy': 0.7305848513902206} |
| 0.1253        | 46.0   | 644   | 1.5622          | {'f1': 0.8301647655259823} | {'accuracy': 0.7430488974113135} |
| 0.1253        | 47.0   | 658   | 1.6814          | {'f1': 0.8288973384030417} | {'accuracy': 0.7411313518696069} |
| 0.1253        | 48.0   | 672   | 1.8247          | {'f1': 0.8307307932542161} | {'accuracy': 0.7401725790987536} |
| 0.1253        | 49.0   | 686   | 1.9138          | {'f1': 0.8300940438871472} | {'accuracy': 0.7401725790987536} |
| 0.1253        | 50.0   | 700   | 1.9741          | {'f1': 0.8287153652392948} | {'accuracy': 0.7392138063279002} |
| 0.1253        | 51.0   | 714   | 2.0174          | {'f1': 0.8287153652392948} | {'accuracy': 0.7392138063279002} |
| 0.1253        | 52.0   | 728   | 2.0830          | {'f1': 0.8297872340425533} | {'accuracy': 0.7392138063279002} |
| 0.1253        | 53.0   | 742   | 2.2226          | {'f1': 0.8352725045927741} | {'accuracy': 0.7420901246404602} |
| 0.1253        | 54.0   | 756   | 2.0774          | {'f1': 0.8302122347066168} | {'accuracy': 0.7392138063279002} |
| 0.1253        | 55.0   | 770   | 2.2485          | {'f1': 0.8374622356495468} | {'accuracy': 0.7420901246404602} |
| 0.1253        | 56.0   | 784   | 1.8539          | {'f1': 0.8257817485641353} | {'accuracy': 0.738255033557047}  |
| 0.1253        | 57.0   | 798   | 1.9967          | {'f1': 0.835458409228901}  | {'accuracy': 0.7401725790987536} |
| 0.1253        | 58.0   | 812   | 1.7908          | {'f1': 0.7898805340829232} | {'accuracy': 0.713326941514861}  |
| 0.1253        | 59.0   | 826   | 1.7549          | {'f1': 0.8364972443355787} | {'accuracy': 0.7440076701821668} |
| 0.1253        | 60.0   | 840   | 1.7989          | {'f1': 0.8368098159509203} | {'accuracy': 0.7449664429530202} |
| 0.1253        | 61.0   | 854   | 2.0937          | {'f1': 0.8372372372372373} | {'accuracy': 0.7401725790987536} |
| 0.1253        | 62.0   | 868   | 1.3363          | {'f1': 0.7843416370106763} | {'accuracy': 0.7094918504314478} |
| 0.1253        | 63.0   | 882   | 1.4321          | {'f1': 0.8367989918084436} | {'accuracy': 0.7516778523489933} |
| 0.1253        | 64.0   | 896   | 1.9803          | {'f1': 0.8371257485029939} | {'accuracy': 0.7392138063279002} |
| 0.1253        | 65.0   | 910   | 1.8372          | {'f1': 0.8285714285714286} | {'accuracy': 0.7468839884947267} |
| 0.1253        | 66.0   | 924   | 2.3544          | {'f1': 0.8377896613190731} | {'accuracy': 0.738255033557047}  |
| 0.1253        | 67.0   | 938   | 1.9866          | {'f1': 0.8263707571801565} | {'accuracy': 0.7449664429530202} |
| 0.1253        | 68.0   | 952   | 2.7185          | {'f1': 0.830842797369994}  | {'accuracy': 0.7286673058485139} |
| 0.1253        | 69.0   | 966   | 2.4310          | {'f1': 0.8306148055207027} | {'accuracy': 0.7411313518696069} |
| 0.1253        | 70.0   | 980   | 2.4977          | {'f1': 0.8305687203791469} | {'accuracy': 0.725790987535954}  |
| 0.1253        | 71.0   | 994   | 1.0387          | {'f1': 0.8284789644012944} | {'accuracy': 0.7459252157238735} |
| 0.0198        | 72.0   | 1008  | 1.8469          | {'f1': 0.8327402135231317} | {'accuracy': 0.7296260786193672} |
| 0.0198        | 73.0   | 1022  | 1.6845          | {'f1': 0.8192612137203166} | {'accuracy': 0.7372962607861937} |
| 0.0198        | 74.0   | 1036  | 1.6471          | {'f1': 0.8296943231441049} | {'accuracy': 0.738255033557047}  |
| 0.0198        | 75.0   | 1050  | 1.5214          | {'f1': 0.8132450331125828} | {'accuracy': 0.7296260786193672} |
| 0.0198        | 76.0   | 1064  | 1.7829          | {'f1': 0.8236760124610593} | {'accuracy': 0.7286673058485139} |
| 0.0198        | 77.0   | 1078  | 2.2771          | {'f1': 0.8293838862559241} | {'accuracy': 0.7238734419942474} |
| 0.0198        | 78.0   | 1092  | 1.5519          | {'f1': 0.8101788170563962} | {'accuracy': 0.7353787152444871} |
| 0.0198        | 79.0   | 1106  | 1.5540          | {'f1': 0.8368200836820083} | {'accuracy': 0.738255033557047}  |
| 0.0198        | 80.0   | 1120  | 1.5794          | {'f1': 0.8259473346178547} | {'accuracy': 0.7401725790987536} |
| 0.0198        | 81.0   | 1134  | 1.8846          | {'f1': 0.8293284041897719} | {'accuracy': 0.7344199424736337} |
| 0.0198        | 82.0   | 1148  | 1.7147          | {'f1': 0.806947227788911}  | {'accuracy': 0.7229146692233941} |
| 0.0198        | 83.0   | 1162  | 1.9138          | {'f1': 0.8322309079975947} | {'accuracy': 0.7325023969319271} |
| 0.0198        | 84.0   | 1176  | 1.8756          | {'f1': 0.8353510895883779} | {'accuracy': 0.7392138063279002} |
| 0.0198        | 85.0   | 1190  | 1.8631          | {'f1': 0.8307692307692307} | {'accuracy': 0.7363374880153404} |
| 0.0198        | 86.0   | 1204  | 1.8303          | {'f1': 0.822429906542056}  | {'accuracy': 0.7267497603068073} |
| 0.0198        | 87.0   | 1218  | 2.0313          | {'f1': 0.8185185185185186} | {'accuracy': 0.7181208053691275} |
| 0.0198        | 88.0   | 1232  | 2.5411          | {'f1': 0.8382180539273153} | {'accuracy': 0.7353787152444871} |
| 0.0198        | 89.0   | 1246  | 2.1045          | {'f1': 0.7961826857532379} | {'accuracy': 0.713326941514861}  |
| 0.0198        | 90.0   | 1260  | 2.5877          | {'f1': 0.8313397129186604} | {'accuracy': 0.7296260786193672} |
| 0.0198        | 91.0   | 1274  | 2.6338          | {'f1': 0.8334335538184005} | {'accuracy': 0.7344199424736337} |
| 0.0198        | 92.0   | 1288  | 2.3250          | {'f1': 0.8208092485549132} | {'accuracy': 0.7325023969319271} |
| 0.0198        | 93.0   | 1302  | 2.1145          | {'f1': 0.8264150943396226} | {'accuracy': 0.7353787152444871} |
| 0.0198        | 94.0   | 1316  | 2.4299          | {'f1': 0.8325301204819276} | {'accuracy': 0.7334611697027804} |
| 0.0198        | 95.0   | 1330  | 2.4146          | {'f1': 0.8258706467661692} | {'accuracy': 0.7315436241610739} |
| 0.0198        | 96.0   | 1344  | 2.9848          | {'f1': 0.8305183459522424} | {'accuracy': 0.7209971236816874} |
| 0.0198        | 97.0   | 1358  | 2.4440          | {'f1': 0.8053156146179401} | {'accuracy': 0.7190795781399808} |
| 0.0198        | 98.0   | 1372  | 2.8039          | {'f1': 0.8364928909952606} | {'accuracy': 0.7353787152444871} |
| 0.0198        | 99.0   | 1386  | 2.5005          | {'f1': 0.8316109422492403} | {'accuracy': 0.7344199424736337} |
| 0.0198        | 100.0  | 1400  | 1.9877          | {'f1': 0.8150991682661549} | {'accuracy': 0.7229146692233941} |
| 0.0198        | 101.0  | 1414  | 1.8385          | {'f1': 0.8207119741100324} | {'accuracy': 0.7344199424736337} |
| 0.0198        | 102.0  | 1428  | 1.9646          | {'f1': 0.8270580727504787} | {'accuracy': 0.7401725790987536} |
| 0.0198        | 103.0  | 1442  | 2.0479          | {'f1': 0.813847158719791}  | {'accuracy': 0.7267497603068073} |
| 0.0198        | 104.0  | 1456  | 2.0466          | {'f1': 0.842925659472422}  | {'accuracy': 0.7488015340364333} |
| 0.0198        | 105.0  | 1470  | 1.4048          | {'f1': 0.825249169435216}  | {'accuracy': 0.74784276126558}   |
| 0.0198        | 106.0  | 1484  | 1.5167          | {'f1': 0.8099861303744799} | {'accuracy': 0.7372962607861937} |
| 0.0198        | 107.0  | 1498  | 2.5238          | {'f1': 0.8303886925795053} | {'accuracy': 0.7238734419942474} |
| 0.0184        | 108.0  | 1512  | 2.5067          | {'f1': 0.7249802994483845} | {'accuracy': 0.6653883029721956} |
| 0.0184        | 109.0  | 1526  | 2.4375          | {'f1': 0.8219346888478127} | {'accuracy': 0.7229146692233941} |
| 0.0184        | 110.0  | 1540  | 2.2507          | {'f1': 0.7757660167130919} | {'accuracy': 0.6912751677852349} |
| 0.0184        | 111.0  | 1554  | 2.5541          | {'f1': 0.8283808368708309} | {'accuracy': 0.7286673058485139} |
| 0.0184        | 112.0  | 1568  | 2.5094          | {'f1': 0.8178343949044586} | {'accuracy': 0.725790987535954}  |
| 0.0184        | 113.0  | 1582  | 2.9570          | {'f1': 0.832841110454814}  | {'accuracy': 0.7286673058485139} |
| 0.0184        | 114.0  | 1596  | 2.6984          | {'f1': 0.8015768725361367} | {'accuracy': 0.710450623202301}  |
| 0.0184        | 115.0  | 1610  | 3.0147          | {'f1': 0.8285547103569338} | {'accuracy': 0.7190795781399808} |
| 0.0184        | 116.0  | 1624  | 1.8179          | {'f1': 0.838749233599019}  | {'accuracy': 0.74784276126558}   |
| 0.0184        | 117.0  | 1638  | 1.7351          | {'f1': 0.83270911360799}   | {'accuracy': 0.7430488974113135} |
| 0.0184        | 118.0  | 1652  | 2.2947          | {'f1': 0.8324324324324324} | {'accuracy': 0.7325023969319271} |
| 0.0184        | 119.0  | 1666  | 2.0843          | {'f1': 0.8364972443355787} | {'accuracy': 0.7440076701821668} |
| 0.0184        | 120.0  | 1680  | 2.1599          | {'f1': 0.828828828828829}  | {'accuracy': 0.7267497603068073} |
| 0.0184        | 121.0  | 1694  | 2.1308          | {'f1': 0.8296943231441049} | {'accuracy': 0.738255033557047}  |
| 0.0184        | 122.0  | 1708  | 2.3121          | {'f1': 0.8340477648499695} | {'accuracy': 0.7401725790987536} |
| 0.0184        | 123.0  | 1722  | 2.0896          | {'f1': 0.8280961182994454} | {'accuracy': 0.7325023969319271} |
| 0.0184        | 124.0  | 1736  | 1.8344          | {'f1': 0.7572254335260116} | {'accuracy': 0.6778523489932886} |
| 0.0184        | 125.0  | 1750  | 2.2451          | {'f1': 0.8271752085816448} | {'accuracy': 0.7219558964525408} |
| 0.0184        | 126.0  | 1764  | 2.0323          | {'f1': 0.8204488778054864} | {'accuracy': 0.7238734419942474} |
| 0.0184        | 127.0  | 1778  | 2.0922          | {'f1': 0.8189274447949527} | {'accuracy': 0.7248322147651006} |
| 0.0184        | 128.0  | 1792  | 2.1871          | {'f1': 0.8184110970996217} | {'accuracy': 0.7238734419942474} |
| 0.0184        | 129.0  | 1806  | 2.2503          | {'f1': 0.8190954773869347} | {'accuracy': 0.7238734419942474} |
| 0.0184        | 130.0  | 1820  | 2.3041          | {'f1': 0.8197747183979974} | {'accuracy': 0.7238734419942474} |
| 0.0184        | 131.0  | 1834  | 2.3421          | {'f1': 0.8205128205128204} | {'accuracy': 0.7248322147651006} |
| 0.0184        | 132.0  | 1848  | 2.3944          | {'f1': 0.8219862585883824} | {'accuracy': 0.7267497603068073} |
| 0.0184        | 133.0  | 1862  | 2.7387          | {'f1': 0.8284866468842729} | {'accuracy': 0.7229146692233941} |
| 0.0184        | 134.0  | 1876  | 2.1785          | {'f1': 0.819814241486068}  | {'accuracy': 0.7209971236816874} |
| 0.0184        | 135.0  | 1890  | 2.2825          | {'f1': 0.8248175182481752} | {'accuracy': 0.7238734419942474} |
| 0.0184        | 136.0  | 1904  | 2.4291          | {'f1': 0.8197923029932803} | {'accuracy': 0.7171620325982742} |
| 0.0184        | 137.0  | 1918  | 2.0556          | {'f1': 0.7898351648351649} | {'accuracy': 0.7066155321188878} |
| 0.0184        | 138.0  | 1932  | 2.2096          | {'f1': 0.8013333333333333} | {'accuracy': 0.7142857142857143} |
| 0.0184        | 139.0  | 1946  | 2.2809          | {'f1': 0.806578947368421}  | {'accuracy': 0.7181208053691275} |
| 0.0184        | 140.0  | 1960  | 2.4477          | {'f1': 0.8181253879577901} | {'accuracy': 0.7190795781399808} |
| 0.0184        | 141.0  | 1974  | 2.6566          | {'f1': 0.8214070956103428} | {'accuracy': 0.7152444870565676} |
| 0.0184        | 142.0  | 1988  | 2.0007          | {'f1': 0.7727598566308245} | {'accuracy': 0.6960690316395014} |
| 0.0145        | 143.0  | 2002  | 1.9685          | {'f1': 0.8298507462686567} | {'accuracy': 0.7267497603068073} |
| 0.0145        | 144.0  | 2016  | 1.8895          | {'f1': 0.8132147395171537} | {'accuracy': 0.7181208053691275} |
| 0.0145        | 145.0  | 2030  | 2.0399          | {'f1': 0.8075178224238496} | {'accuracy': 0.7152444870565676} |
| 0.0145        | 146.0  | 2044  | 2.4218          | {'f1': 0.8258766626360338} | {'accuracy': 0.7238734419942474} |
| 0.0145        | 147.0  | 2058  | 2.4451          | {'f1': 0.8150470219435738} | {'accuracy': 0.7171620325982742} |
| 0.0145        | 148.0  | 2072  | 2.4632          | {'f1': 0.8098318240620956} | {'accuracy': 0.7181208053691275} |
| 0.0145        | 149.0  | 2086  | 2.4870          | {'f1': 0.8091205211726384} | {'accuracy': 0.7190795781399808} |
| 0.0145        | 150.0  | 2100  | 2.5063          | {'f1': 0.8080939947780679} | {'accuracy': 0.7181208053691275} |
| 0.0145        | 151.0  | 2114  | 2.5412          | {'f1': 0.8126614987080103} | {'accuracy': 0.7219558964525408} |
| 0.0145        | 152.0  | 2128  | 3.0723          | {'f1': 0.8242142025611175} | {'accuracy': 0.710450623202301}  |
| 0.0145        | 153.0  | 2142  | 2.2632          | {'f1': 0.7977606717984603} | {'accuracy': 0.7229146692233941} |
| 0.0145        | 154.0  | 2156  | 2.8640          | {'f1': 0.8235988200589972} | {'accuracy': 0.713326941514861}  |
| 0.0145        | 155.0  | 2170  | 2.4601          | {'f1': 0.8146214099216709} | {'accuracy': 0.7277085330776606} |
| 0.0145        | 156.0  | 2184  | 3.0811          | {'f1': 0.8241500586166471} | {'accuracy': 0.7123681687440077} |
| 0.0145        | 157.0  | 2198  | 2.5084          | {'f1': 0.8036410923276983} | {'accuracy': 0.710450623202301}  |
| 0.0145        | 158.0  | 2212  | 2.7759          | {'f1': 0.8209042865531415} | {'accuracy': 0.7075743048897412} |
| 0.0145        | 159.0  | 2226  | 2.3592          | {'f1': 0.81625}            | {'accuracy': 0.7181208053691275} |
| 0.0145        | 160.0  | 2240  | 2.5965          | {'f1': 0.8194103194103194} | {'accuracy': 0.7181208053691275} |
| 0.0145        | 161.0  | 2254  | 3.0944          | {'f1': 0.8215330602691633} | {'accuracy': 0.7075743048897412} |
| 0.0145        | 162.0  | 2268  | 3.0794          | {'f1': 0.8204826368452031} | {'accuracy': 0.7075743048897412} |
| 0.0145        | 163.0  | 2282  | 3.0692          | {'f1': 0.820816085156712}  | {'accuracy': 0.7094918504314478} |
| 0.0145        | 164.0  | 2296  | 3.0611          | {'f1': 0.8213649851632047} | {'accuracy': 0.7114093959731543} |
| 0.0145        | 165.0  | 2310  | 3.0655          | {'f1': 0.8211527035056446} | {'accuracy': 0.7114093959731543} |
| 0.0145        | 166.0  | 2324  | 3.0710          | {'f1': 0.8216409036860881} | {'accuracy': 0.7123681687440077} |
| 0.0145        | 167.0  | 2338  | 3.0783          | {'f1': 0.8226190476190477} | {'accuracy': 0.7142857142857143} |
| 0.0145        | 168.0  | 2352  | 3.0869          | {'f1': 0.8231089934484812} | {'accuracy': 0.7152444870565676} |
| 0.0145        | 169.0  | 2366  | 3.0948          | {'f1': 0.8231089934484812} | {'accuracy': 0.7152444870565676} |
| 0.0145        | 170.0  | 2380  | 3.1026          | {'f1': 0.8231089934484812} | {'accuracy': 0.7152444870565676} |
| 0.0145        | 171.0  | 2394  | 3.1110          | {'f1': 0.8231089934484812} | {'accuracy': 0.7152444870565676} |
| 0.0145        | 172.0  | 2408  | 3.1190          | {'f1': 0.8231089934484812} | {'accuracy': 0.7152444870565676} |
| 0.0145        | 173.0  | 2422  | 3.1250          | {'f1': 0.8240906380441265} | {'accuracy': 0.7171620325982742} |
| 0.0145        | 174.0  | 2436  | 2.6931          | {'f1': 0.8081204977079239} | {'accuracy': 0.7190795781399808} |
| 0.0145        | 175.0  | 2450  | 2.8011          | {'f1': 0.8197130380536494} | {'accuracy': 0.7229146692233941} |
| 0.0145        | 176.0  | 2464  | 3.6080          | {'f1': 0.8245412844036698} | {'accuracy': 0.7066155321188878} |
| 0.0145        | 177.0  | 2478  | 2.2489          | {'f1': 0.730566037735849}  | {'accuracy': 0.6577181208053692} |
| 0.0145        | 178.0  | 2492  | 1.8627          | {'f1': 0.8296735905044509} | {'accuracy': 0.7248322147651006} |
| 0.0066        | 179.0  | 2506  | 1.7572          | {'f1': 0.8069011280690114} | {'accuracy': 0.7209971236816874} |
| 0.0066        | 180.0  | 2520  | 2.1548          | {'f1': 0.8156209987195903} | {'accuracy': 0.7238734419942474} |
| 0.0066        | 181.0  | 2534  | 3.0393          | {'f1': 0.8234604105571848} | {'accuracy': 0.7114093959731543} |
| 0.0066        | 182.0  | 2548  | 2.4217          | {'f1': 0.8092189500640207} | {'accuracy': 0.7142857142857143} |
| 0.0066        | 183.0  | 2562  | 2.4490          | {'f1': 0.777158774373259}  | {'accuracy': 0.6931927133269415} |
| 0.0066        | 184.0  | 2576  | 1.4908          | {'f1': 0.8206419131529263} | {'accuracy': 0.7267497603068073} |
| 0.0066        | 185.0  | 2590  | 1.6363          | {'f1': 0.831837223219629}  | {'accuracy': 0.7305848513902206} |
| 0.0066        | 186.0  | 2604  | 2.1680          | {'f1': 0.8095238095238094} | {'accuracy': 0.7238734419942474} |
| 0.0066        | 187.0  | 2618  | 2.5006          | {'f1': 0.827930174563591}  | {'accuracy': 0.7353787152444871} |
| 0.0066        | 188.0  | 2632  | 2.5279          | {'f1': 0.8130293159609121} | {'accuracy': 0.7248322147651006} |
| 0.0066        | 189.0  | 2646  | 3.2503          | {'f1': 0.8218390804597702} | {'accuracy': 0.7027804410354745} |
| 0.0066        | 190.0  | 2660  | 2.2915          | {'f1': 0.8096192384769539} | {'accuracy': 0.7267497603068073} |
| 0.0066        | 191.0  | 2674  | 3.1523          | {'f1': 0.8315539739027283} | {'accuracy': 0.7277085330776606} |
| 0.0066        | 192.0  | 2688  | 3.1112          | {'f1': 0.8225806451612904} | {'accuracy': 0.725790987535954}  |
| 0.0066        | 193.0  | 2702  | 3.0779          | {'f1': 0.8071979434447301} | {'accuracy': 0.7123681687440077} |
| 0.0066        | 194.0  | 2716  | 2.6931          | {'f1': 0.8165605095541402} | {'accuracy': 0.7238734419942474} |
| 0.0066        | 195.0  | 2730  | 2.5412          | {'f1': 0.8221680876979295} | {'accuracy': 0.7200383509108341} |
| 0.0066        | 196.0  | 2744  | 2.6084          | {'f1': 0.8251497005988024} | {'accuracy': 0.7200383509108341} |
| 0.0066        | 197.0  | 2758  | 2.6282          | {'f1': 0.8237410071942447} | {'accuracy': 0.7181208053691275} |
| 0.0066        | 198.0  | 2772  | 2.6586          | {'f1': 0.8247298919567826} | {'accuracy': 0.7200383509108341} |
| 0.0066        | 199.0  | 2786  | 2.6898          | {'f1': 0.8238123872519543} | {'accuracy': 0.7190795781399808} |
| 0.0066        | 200.0  | 2800  | 2.4343          | {'f1': 0.8094940662086196} | {'accuracy': 0.7075743048897412} |
| 0.0066        | 201.0  | 2814  | 1.5340          | {'f1': 0.7981711299804048} | {'accuracy': 0.7037392138063279} |
| 0.0066        | 202.0  | 2828  | 2.2824          | {'f1': 0.8236729713239781} | {'accuracy': 0.7229146692233941} |
| 0.0066        | 203.0  | 2842  | 1.9816          | {'f1': 0.825030376670717}  | {'accuracy': 0.7238734419942474} |
| 0.0066        | 204.0  | 2856  | 1.8646          | {'f1': 0.7600574712643678} | {'accuracy': 0.6797698945349953} |
| 0.0066        | 205.0  | 2870  | 1.9802          | {'f1': 0.8332329921733895} | {'accuracy': 0.7344199424736337} |
| 0.0066        | 206.0  | 2884  | 2.3228          | {'f1': 0.8251066422912859} | {'accuracy': 0.7248322147651006} |
| 0.0066        | 207.0  | 2898  | 2.4796          | {'f1': 0.8198529411764706} | {'accuracy': 0.7181208053691275} |
| 0.0066        | 208.0  | 2912  | 2.4117          | {'f1': 0.8005336891260839} | {'accuracy': 0.713326941514861}  |
| 0.0066        | 209.0  | 2926  | 2.7989          | {'f1': 0.8272997032640949} | {'accuracy': 0.7209971236816874} |
| 0.0066        | 210.0  | 2940  | 2.4206          | {'f1': 0.8181253879577901} | {'accuracy': 0.7190795781399808} |
| 0.0066        | 211.0  | 2954  | 2.3878          | {'f1': 0.8254716981132074} | {'accuracy': 0.716203259827421}  |
| 0.0066        | 212.0  | 2968  | 2.4611          | {'f1': 0.8270588235294117} | {'accuracy': 0.7181208053691275} |
| 0.0066        | 213.0  | 2982  | 2.5275          | {'f1': 0.8292971057294742} | {'accuracy': 0.7229146692233941} |
| 0.0066        | 214.0  | 2996  | 2.5971          | {'f1': 0.8286899822169531} | {'accuracy': 0.7229146692233941} |
| 0.0215        | 215.0  | 3010  | 2.6337          | {'f1': 0.8147692307692308} | {'accuracy': 0.7114093959731543} |
| 0.0215        | 216.0  | 3024  | 2.6106          | {'f1': 0.8041104688503531} | {'accuracy': 0.7075743048897412} |
| 0.0215        | 217.0  | 3038  | 2.6324          | {'f1': 0.8263971462544589} | {'accuracy': 0.7200383509108341} |
| 0.0215        | 218.0  | 3052  | 2.3884          | {'f1': 0.8196125907990315} | {'accuracy': 0.7142857142857143} |
| 0.0215        | 219.0  | 3066  | 2.2168          | {'f1': 0.8093385214007782} | {'accuracy': 0.7181208053691275} |
| 0.0215        | 220.0  | 3080  | 2.3495          | {'f1': 0.827338129496403}  | {'accuracy': 0.7238734419942474} |
| 0.0215        | 221.0  | 3094  | 2.1672          | {'f1': 0.8189073050951503} | {'accuracy': 0.7171620325982742} |
| 0.0215        | 222.0  | 3108  | 2.3786          | {'f1': 0.8133086876155268} | {'accuracy': 0.7094918504314478} |
| 0.0215        | 223.0  | 3122  | 2.5426          | {'f1': 0.8140394088669951} | {'accuracy': 0.710450623202301}  |
| 0.0215        | 224.0  | 3136  | 2.6287          | {'f1': 0.8130381303813039} | {'accuracy': 0.7085330776605945} |
| 0.0215        | 225.0  | 3150  | 2.6694          | {'f1': 0.8130381303813039} | {'accuracy': 0.7085330776605945} |
| 0.0215        | 226.0  | 3164  | 2.6974          | {'f1': 0.8130381303813039} | {'accuracy': 0.7085330776605945} |
| 0.0215        | 227.0  | 3178  | 2.7342          | {'f1': 0.8130381303813039} | {'accuracy': 0.7085330776605945} |
| 0.0215        | 228.0  | 3192  | 3.0648          | {'f1': 0.8159618820726622} | {'accuracy': 0.7037392138063279} |
| 0.0215        | 229.0  | 3206  | 3.1276          | {'f1': 0.8180201541197392} | {'accuracy': 0.7056567593480345} |
| 0.0215        | 230.0  | 3220  | 2.9768          | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0215        | 231.0  | 3234  | 2.7379          | {'f1': 0.8094027954256671} | {'accuracy': 0.7123681687440077} |
| 0.0215        | 232.0  | 3248  | 3.1940          | {'f1': 0.8170365926814637} | {'accuracy': 0.7075743048897412} |
| 0.0215        | 233.0  | 3262  | 2.8962          | {'f1': 0.8170055452865066} | {'accuracy': 0.7152444870565676} |
| 0.0215        | 234.0  | 3276  | 2.6762          | {'f1': 0.8204819277108434} | {'accuracy': 0.7142857142857143} |
| 0.0215        | 235.0  | 3290  | 2.6070          | {'f1': 0.8158220024721878} | {'accuracy': 0.7142857142857143} |
| 0.0215        | 236.0  | 3304  | 2.6623          | {'f1': 0.8195302843016069} | {'accuracy': 0.7200383509108341} |
| 0.0215        | 237.0  | 3318  | 2.8680          | {'f1': 0.8239436619718311} | {'accuracy': 0.7123681687440077} |
| 0.0215        | 238.0  | 3332  | 2.3795          | {'f1': 0.7812718378756114} | {'accuracy': 0.6999041227229147} |
| 0.0215        | 239.0  | 3346  | 2.6336          | {'f1': 0.8249118683901293} | {'accuracy': 0.7142857142857143} |
| 0.0215        | 240.0  | 3360  | 1.7297          | {'f1': 0.8105670103092784} | {'accuracy': 0.7181208053691275} |
| 0.0215        | 241.0  | 3374  | 1.6360          | {'f1': 0.8063091482649842} | {'accuracy': 0.7056567593480345} |
| 0.0215        | 242.0  | 3388  | 2.1135          | {'f1': 0.8049999999999999} | {'accuracy': 0.700862895493768}  |
| 0.0215        | 243.0  | 3402  | 2.4472          | {'f1': 0.8069522036002483} | {'accuracy': 0.7018216682646213} |
| 0.0215        | 244.0  | 3416  | 2.5746          | {'f1': 0.80545229244114}   | {'accuracy': 0.6989453499520614} |
| 0.0215        | 245.0  | 3430  | 2.6635          | {'f1': 0.8051787916152899} | {'accuracy': 0.6970278044103547} |
| 0.0215        | 246.0  | 3444  | 2.5958          | {'f1': 0.786774628879892}  | {'accuracy': 0.6970278044103547} |
| 0.0215        | 247.0  | 3458  | 3.3601          | {'f1': 0.819672131147541}  | {'accuracy': 0.7046979865771812} |
| 0.0215        | 248.0  | 3472  | 2.5192          | {'f1': 0.8017789072426939} | {'accuracy': 0.700862895493768}  |
| 0.0215        | 249.0  | 3486  | 2.3065          | {'f1': 0.7994858611825192} | {'accuracy': 0.700862895493768}  |
| 0.0156        | 250.0  | 3500  | 1.8895          | {'f1': 0.814993954050786}  | {'accuracy': 0.7066155321188878} |
| 0.0156        | 251.0  | 3514  | 1.9615          | {'f1': 0.8226281673541544} | {'accuracy': 0.7114093959731543} |
| 0.0156        | 252.0  | 3528  | 2.3730          | {'f1': 0.7744154057771663} | {'accuracy': 0.6855225311601151} |
| 0.0156        | 253.0  | 3542  | 2.7062          | {'f1': 0.8225317989097517} | {'accuracy': 0.7190795781399808} |
| 0.0156        | 254.0  | 3556  | 3.0881          | {'f1': 0.8210526315789474} | {'accuracy': 0.7066155321188878} |
| 0.0156        | 255.0  | 3570  | 2.5734          | {'f1': 0.818734793187348}  | {'accuracy': 0.7142857142857143} |
| 0.0156        | 256.0  | 3584  | 2.3367          | {'f1': 0.7958251793868232} | {'accuracy': 0.6999041227229147} |
| 0.0156        | 257.0  | 3598  | 2.2311          | {'f1': 0.8185654008438819} | {'accuracy': 0.7114093959731543} |
| 0.0156        | 258.0  | 3612  | 2.1090          | {'f1': 0.8113564668769717} | {'accuracy': 0.713326941514861}  |
| 0.0156        | 259.0  | 3626  | 2.1745          | {'f1': 0.7956698240866035} | {'accuracy': 0.710450623202301}  |
| 0.0156        | 260.0  | 3640  | 2.3094          | {'f1': 0.7959866220735786} | {'accuracy': 0.7075743048897412} |
| 0.0156        | 261.0  | 3654  | 2.5351          | {'f1': 0.8216957605985038} | {'accuracy': 0.725790987535954}  |
| 0.0156        | 262.0  | 3668  | 2.6176          | {'f1': 0.8275015346838551} | {'accuracy': 0.7305848513902206} |
| 0.0156        | 263.0  | 3682  | 2.6613          | {'f1': 0.8315018315018315} | {'accuracy': 0.7353787152444871} |
| 0.0156        | 264.0  | 3696  | 2.6900          | {'f1': 0.8315018315018315} | {'accuracy': 0.7353787152444871} |
| 0.0156        | 265.0  | 3710  | 2.7127          | {'f1': 0.8315018315018315} | {'accuracy': 0.7353787152444871} |
| 0.0156        | 266.0  | 3724  | 2.7325          | {'f1': 0.8315018315018315} | {'accuracy': 0.7353787152444871} |
| 0.0156        | 267.0  | 3738  | 2.7510          | {'f1': 0.8315018315018315} | {'accuracy': 0.7353787152444871} |
| 0.0156        | 268.0  | 3752  | 2.7678          | {'f1': 0.8315018315018315} | {'accuracy': 0.7353787152444871} |
| 0.0156        | 269.0  | 3766  | 2.7837          | {'f1': 0.8315018315018315} | {'accuracy': 0.7353787152444871} |
| 0.0156        | 270.0  | 3780  | 2.7988          | {'f1': 0.8315018315018315} | {'accuracy': 0.7353787152444871} |
| 0.0156        | 271.0  | 3794  | 2.8135          | {'f1': 0.8312958435207825} | {'accuracy': 0.7353787152444871} |
| 0.0156        | 272.0  | 3808  | 2.8269          | {'f1': 0.8312958435207825} | {'accuracy': 0.7353787152444871} |
| 0.0156        | 273.0  | 3822  | 2.8401          | {'f1': 0.8305810397553518} | {'accuracy': 0.7344199424736337} |
| 0.0156        | 274.0  | 3836  | 2.8523          | {'f1': 0.8298653610771114} | {'accuracy': 0.7334611697027804} |
| 0.0156        | 275.0  | 3850  | 2.8649          | {'f1': 0.8298653610771114} | {'accuracy': 0.7334611697027804} |
| 0.0156        | 276.0  | 3864  | 2.8766          | {'f1': 0.8298653610771114} | {'accuracy': 0.7334611697027804} |
| 0.0156        | 277.0  | 3878  | 2.8881          | {'f1': 0.8298653610771114} | {'accuracy': 0.7334611697027804} |
| 0.0156        | 278.0  | 3892  | 2.8998          | {'f1': 0.8298653610771114} | {'accuracy': 0.7334611697027804} |
| 0.0156        | 279.0  | 3906  | 2.8049          | {'f1': 0.8062418725617686} | {'accuracy': 0.7142857142857143} |
| 0.0156        | 280.0  | 3920  | 2.8448          | {'f1': 0.8265245707519242} | {'accuracy': 0.7190795781399808} |
| 0.0156        | 281.0  | 3934  | 2.4618          | {'f1': 0.818867924528302}  | {'accuracy': 0.7238734419942474} |
| 0.0156        | 282.0  | 3948  | 3.2578          | {'f1': 0.8213457076566125} | {'accuracy': 0.7046979865771812} |
| 0.0156        | 283.0  | 3962  | 2.8115          | {'f1': 0.7853881278538813} | {'accuracy': 0.6845637583892618} |
| 0.0156        | 284.0  | 3976  | 2.1868          | {'f1': 0.8208588957055215} | {'accuracy': 0.7200383509108341} |
| 0.0156        | 285.0  | 3990  | 1.9052          | {'f1': 0.8241626794258373} | {'accuracy': 0.7181208053691275} |
| 0.0069        | 286.0  | 4004  | 2.1344          | {'f1': 0.8267954133977066} | {'accuracy': 0.7248322147651006} |
| 0.0069        | 287.0  | 4018  | 2.5034          | {'f1': 0.8177991581479255} | {'accuracy': 0.7094918504314478} |
| 0.0069        | 288.0  | 4032  | 2.5675          | {'f1': 0.8115763546798029} | {'accuracy': 0.7066155321188878} |
| 0.0069        | 289.0  | 4046  | 2.4979          | {'f1': 0.8148606811145511} | {'accuracy': 0.713326941514861}  |
| 0.0069        | 290.0  | 4060  | 2.4903          | {'f1': 0.8086458995549906} | {'accuracy': 0.7114093959731543} |
| 0.0069        | 291.0  | 4074  | 2.9430          | {'f1': 0.8230500582072177} | {'accuracy': 0.7085330776605945} |
| 0.0069        | 292.0  | 4088  | 2.3191          | {'f1': 0.8103994927076728} | {'accuracy': 0.713326941514861}  |
| 0.0069        | 293.0  | 4102  | 2.4729          | {'f1': 0.8103666245259167} | {'accuracy': 0.7123681687440077} |
| 0.0069        | 294.0  | 4116  | 2.9697          | {'f1': 0.8186157517899763} | {'accuracy': 0.7085330776605945} |
| 0.0069        | 295.0  | 4130  | 3.0092          | {'f1': 0.8201438848920862} | {'accuracy': 0.7123681687440077} |
| 0.0069        | 296.0  | 4144  | 3.0325          | {'f1': 0.8194361127774445} | {'accuracy': 0.7114093959731543} |
| 0.0069        | 297.0  | 4158  | 2.8717          | {'f1': 0.8159509202453988} | {'accuracy': 0.7123681687440077} |
| 0.0069        | 298.0  | 4172  | 2.8338          | {'f1': 0.8102372034956304} | {'accuracy': 0.7085330776605945} |
| 0.0069        | 299.0  | 4186  | 2.8827          | {'f1': 0.8123839009287926} | {'accuracy': 0.7094918504314478} |
| 0.0069        | 300.0  | 4200  | 2.2958          | {'f1': 0.8167985392574558} | {'accuracy': 0.7114093959731543} |
| 0.0069        | 301.0  | 4214  | 1.9853          | {'f1': 0.8026402640264025} | {'accuracy': 0.713326941514861}  |
| 0.0069        | 302.0  | 4228  | 2.3588          | {'f1': 0.820259419394688}  | {'accuracy': 0.7209971236816874} |
| 0.0069        | 303.0  | 4242  | 2.5182          | {'f1': 0.8197530864197531} | {'accuracy': 0.7200383509108341} |
| 0.0069        | 304.0  | 4256  | 2.5860          | {'f1': 0.8171109733415997} | {'accuracy': 0.7171620325982742} |
| 0.0069        | 305.0  | 4270  | 2.6313          | {'f1': 0.8163771712158809} | {'accuracy': 0.716203259827421}  |
| 0.0069        | 306.0  | 4284  | 2.6655          | {'f1': 0.8171109733415997} | {'accuracy': 0.7171620325982742} |
| 0.0069        | 307.0  | 4298  | 2.6953          | {'f1': 0.8171109733415997} | {'accuracy': 0.7171620325982742} |
| 0.0069        | 308.0  | 4312  | 2.7263          | {'f1': 0.8178438661710038} | {'accuracy': 0.7181208053691275} |
| 0.0069        | 309.0  | 4326  | 2.7539          | {'f1': 0.8185758513931888} | {'accuracy': 0.7190795781399808} |
| 0.0069        | 310.0  | 4340  | 2.7932          | {'f1': 0.7803547066848566} | {'accuracy': 0.6912751677852349} |
| 0.0069        | 311.0  | 4354  | 2.4630          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0069        | 312.0  | 4368  | 2.4218          | {'f1': 0.8022249690976515} | {'accuracy': 0.6931927133269415} |
| 0.0069        | 313.0  | 4382  | 2.4912          | {'f1': 0.8051470588235294} | {'accuracy': 0.6951102588686481} |
| 0.0069        | 314.0  | 4396  | 2.6445          | {'f1': 0.8147254073627037} | {'accuracy': 0.7056567593480345} |
| 0.0069        | 315.0  | 4410  | 2.6581          | {'f1': 0.8007518796992481} | {'accuracy': 0.6951102588686481} |
| 0.0069        | 316.0  | 4424  | 2.7682          | {'f1': 0.7999999999999999} | {'accuracy': 0.6951102588686481} |
| 0.0069        | 317.0  | 4438  | 2.8900          | {'f1': 0.819477434679335}  | {'accuracy': 0.7085330776605945} |
| 0.0069        | 318.0  | 4452  | 2.8063          | {'f1': 0.7974842767295598} | {'accuracy': 0.6912751677852349} |
| 0.0069        | 319.0  | 4466  | 2.8261          | {'f1': 0.7948881789137379} | {'accuracy': 0.6922339405560882} |
| 0.0069        | 320.0  | 4480  | 2.9372          | {'f1': 0.8009981285090455} | {'accuracy': 0.6941514860977949} |
| 0.0069        | 321.0  | 4494  | 3.0117          | {'f1': 0.8044417026526834} | {'accuracy': 0.6960690316395014} |
| 0.0098        | 322.0  | 4508  | 3.0487          | {'f1': 0.8071253071253071} | {'accuracy': 0.6989453499520614} |
| 0.0098        | 323.0  | 4522  | 3.0772          | {'f1': 0.8066298342541437} | {'accuracy': 0.697986577181208}  |
| 0.0098        | 324.0  | 4536  | 3.1021          | {'f1': 0.8066298342541437} | {'accuracy': 0.697986577181208}  |
| 0.0098        | 325.0  | 4550  | 3.1241          | {'f1': 0.8066298342541437} | {'accuracy': 0.697986577181208}  |
| 0.0098        | 326.0  | 4564  | 3.1444          | {'f1': 0.8071253071253071} | {'accuracy': 0.6989453499520614} |
| 0.0098        | 327.0  | 4578  | 3.1630          | {'f1': 0.8071253071253071} | {'accuracy': 0.6989453499520614} |
| 0.0098        | 328.0  | 4592  | 2.2740          | {'f1': 0.8096969696969697} | {'accuracy': 0.6989453499520614} |
| 0.0098        | 329.0  | 4606  | 2.2499          | {'f1': 0.791800128122998}  | {'accuracy': 0.6883988494726749} |
| 0.0098        | 330.0  | 4620  | 2.6850          | {'f1': 0.7967275015733165} | {'accuracy': 0.6903163950143816} |
| 0.0098        | 331.0  | 4634  | 2.8664          | {'f1': 0.7957526545908807} | {'accuracy': 0.6864813039309684} |
| 0.0098        | 332.0  | 4648  | 2.9464          | {'f1': 0.7990043559427504} | {'accuracy': 0.6903163950143816} |
| 0.0098        | 333.0  | 4662  | 2.9885          | {'f1': 0.7985074626865672} | {'accuracy': 0.6893576222435283} |
| 0.0098        | 334.0  | 4676  | 3.3009          | {'f1': 0.8152109328579916} | {'accuracy': 0.7018216682646213} |
| 0.0098        | 335.0  | 4690  | 3.3227          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0098        | 336.0  | 4704  | 3.2822          | {'f1': 0.8036697247706422} | {'accuracy': 0.6922339405560882} |
| 0.0098        | 337.0  | 4718  | 3.3321          | {'f1': 0.8089751364463311} | {'accuracy': 0.697986577181208}  |
| 0.0098        | 338.0  | 4732  | 2.9839          | {'f1': 0.8070602556299451} | {'accuracy': 0.6960690316395014} |
| 0.0098        | 339.0  | 4746  | 3.0142          | {'f1': 0.8096118299445472} | {'accuracy': 0.7037392138063279} |
| 0.0098        | 340.0  | 4760  | 3.1538          | {'f1': 0.8097560975609757} | {'accuracy': 0.700862895493768}  |
| 0.0098        | 341.0  | 4774  | 3.2085          | {'f1': 0.8073170731707316} | {'accuracy': 0.6970278044103547} |
| 0.0098        | 342.0  | 4788  | 3.2426          | {'f1': 0.8073170731707316} | {'accuracy': 0.6970278044103547} |
| 0.0098        | 343.0  | 4802  | 3.2779          | {'f1': 0.8080438756855576} | {'accuracy': 0.697986577181208}  |
| 0.0098        | 344.0  | 4816  | 3.3015          | {'f1': 0.8080438756855576} | {'accuracy': 0.697986577181208}  |
| 0.0098        | 345.0  | 4830  | 3.3202          | {'f1': 0.8073170731707316} | {'accuracy': 0.6970278044103547} |
| 0.0098        | 346.0  | 4844  | 3.3374          | {'f1': 0.8073170731707316} | {'accuracy': 0.6970278044103547} |
| 0.0098        | 347.0  | 4858  | 3.1566          | {'f1': 0.795071335927367}  | {'accuracy': 0.6970278044103547} |
| 0.0098        | 348.0  | 4872  | 3.2230          | {'f1': 0.8090737240075614} | {'accuracy': 0.7094918504314478} |
| 0.0098        | 349.0  | 4886  | 3.3457          | {'f1': 0.81134401972873}   | {'accuracy': 0.7066155321188878} |
| 0.0098        | 350.0  | 4900  | 3.5317          | {'f1': 0.8158368326334733} | {'accuracy': 0.7056567593480345} |
| 0.0098        | 351.0  | 4914  | 3.5851          | {'f1': 0.8149910767400358} | {'accuracy': 0.7018216682646213} |
| 0.0098        | 352.0  | 4928  | 3.6059          | {'f1': 0.8156956004756243} | {'accuracy': 0.7027804410354745} |
| 0.0098        | 353.0  | 4942  | 3.6084          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0098        | 354.0  | 4956  | 3.6159          | {'f1': 0.8157423971377461} | {'accuracy': 0.7037392138063279} |
| 0.0098        | 355.0  | 4970  | 3.6242          | {'f1': 0.8155223880597016} | {'accuracy': 0.7037392138063279} |
| 0.0098        | 356.0  | 4984  | 3.6325          | {'f1': 0.8155223880597016} | {'accuracy': 0.7037392138063279} |
| 0.0098        | 357.0  | 4998  | 3.6406          | {'f1': 0.8155223880597016} | {'accuracy': 0.7037392138063279} |
| 0.0036        | 358.0  | 5012  | 2.9450          | {'f1': 0.8045112781954888} | {'accuracy': 0.700862895493768}  |
| 0.0036        | 359.0  | 5026  | 2.7078          | {'f1': 0.7976878612716763} | {'accuracy': 0.697986577181208}  |
| 0.0036        | 360.0  | 5040  | 2.7314          | {'f1': 0.7979474021808851} | {'accuracy': 0.697986577181208}  |
| 0.0036        | 361.0  | 5054  | 2.8758          | {'f1': 0.8129272840273463} | {'accuracy': 0.7114093959731543} |
| 0.0036        | 362.0  | 5068  | 3.4534          | {'f1': 0.8210770121598145} | {'accuracy': 0.7037392138063279} |
| 0.0036        | 363.0  | 5082  | 2.9697          | {'f1': 0.7806155861165684} | {'accuracy': 0.6788111217641419} |
| 0.0036        | 364.0  | 5096  | 2.3365          | {'f1': 0.7944339025932954} | {'accuracy': 0.6883988494726749} |
| 0.0036        | 365.0  | 5110  | 2.0912          | {'f1': 0.8002489110143124} | {'accuracy': 0.6922339405560882} |
| 0.0036        | 366.0  | 5124  | 2.7869          | {'f1': 0.8036923076923078} | {'accuracy': 0.6941514860977949} |
| 0.0036        | 367.0  | 5138  | 3.1001          | {'f1': 0.8181276088252833} | {'accuracy': 0.7075743048897412} |
| 0.0036        | 368.0  | 5152  | 1.6215          | {'f1': 0.7613793103448275} | {'accuracy': 0.6682646212847555} |
| 0.0036        | 369.0  | 5166  | 3.7332          | {'f1': 0.8058429701765064} | {'accuracy': 0.6941514860977949} |
| 0.0036        | 370.0  | 5180  | 2.1890          | {'f1': 0.786970684039088}  | {'accuracy': 0.6864813039309684} |
| 0.0036        | 371.0  | 5194  | 1.2886          | {'f1': 0.8125755743651754} | {'accuracy': 0.7027804410354745} |
| 0.0036        | 372.0  | 5208  | 1.6628          | {'f1': 0.8226281673541544} | {'accuracy': 0.7114093959731543} |
| 0.0036        | 373.0  | 5222  | 2.3004          | {'f1': 0.8171394085697042} | {'accuracy': 0.7094918504314478} |
| 0.0036        | 374.0  | 5236  | 3.3373          | {'f1': 0.8079800498753117} | {'accuracy': 0.7046979865771812} |
| 0.0036        | 375.0  | 5250  | 2.9570          | {'f1': 0.7797979797979798} | {'accuracy': 0.6864813039309684} |
| 0.0036        | 376.0  | 5264  | 3.0372          | {'f1': 0.8151260504201681} | {'accuracy': 0.7046979865771812} |
| 0.0036        | 377.0  | 5278  | 2.9651          | {'f1': 0.8015170670037927} | {'accuracy': 0.6989453499520614} |
| 0.0036        | 378.0  | 5292  | 3.0289          | {'f1': 0.7951188182402056} | {'accuracy': 0.6941514860977949} |
| 0.0036        | 379.0  | 5306  | 3.0635          | {'f1': 0.7958789439793946} | {'accuracy': 0.6960690316395014} |
| 0.0036        | 380.0  | 5320  | 3.0910          | {'f1': 0.7961290322580644} | {'accuracy': 0.6970278044103547} |
| 0.0036        | 381.0  | 5334  | 3.1147          | {'f1': 0.7961290322580644} | {'accuracy': 0.6970278044103547} |
| 0.0036        | 382.0  | 5348  | 3.1376          | {'f1': 0.7961290322580644} | {'accuracy': 0.6970278044103547} |
| 0.0036        | 383.0  | 5362  | 3.1573          | {'f1': 0.7961290322580644} | {'accuracy': 0.6970278044103547} |
| 0.0036        | 384.0  | 5376  | 3.1749          | {'f1': 0.7961290322580644} | {'accuracy': 0.6970278044103547} |
| 0.0036        | 385.0  | 5390  | 3.1915          | {'f1': 0.7961290322580644} | {'accuracy': 0.6970278044103547} |
| 0.0036        | 386.0  | 5404  | 3.2085          | {'f1': 0.7961290322580644} | {'accuracy': 0.6970278044103547} |
| 0.0036        | 387.0  | 5418  | 3.2241          | {'f1': 0.7961290322580644} | {'accuracy': 0.6970278044103547} |
| 0.0036        | 388.0  | 5432  | 3.5863          | {'f1': 0.8160851567120047} | {'accuracy': 0.7018216682646213} |
| 0.0036        | 389.0  | 5446  | 2.7797          | {'f1': 0.7940220922677063} | {'accuracy': 0.6960690316395014} |
| 0.0036        | 390.0  | 5460  | 1.9431          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0036        | 391.0  | 5474  | 2.2743          | {'f1': 0.8215527230590963} | {'accuracy': 0.7046979865771812} |
| 0.0036        | 392.0  | 5488  | 2.3312          | {'f1': 0.8167475728155339} | {'accuracy': 0.710450623202301}  |
| 0.0386        | 393.0  | 5502  | 2.2822          | {'f1': 0.7704807041299933} | {'accuracy': 0.6749760306807286} |
| 0.0386        | 394.0  | 5516  | 2.6694          | {'f1': 0.7921667719519899} | {'accuracy': 0.6845637583892618} |
| 0.0386        | 395.0  | 5530  | 3.0391          | {'f1': 0.804583835946924}  | {'accuracy': 0.6893576222435283} |
| 0.0386        | 396.0  | 5544  | 2.2580          | {'f1': 0.7598371777476255} | {'accuracy': 0.660594439117929}  |
| 0.0386        | 397.0  | 5558  | 3.0481          | {'f1': 0.7964601769911506} | {'accuracy': 0.6912751677852349} |
| 0.0386        | 398.0  | 5572  | 2.5142          | {'f1': 0.7827763496143959} | {'accuracy': 0.675934803451582}  |
| 0.0386        | 399.0  | 5586  | 2.6210          | {'f1': 0.8045700541190619} | {'accuracy': 0.6883988494726749} |
| 0.0386        | 400.0  | 5600  | 2.9611          | {'f1': 0.8036036036036036} | {'accuracy': 0.6864813039309684} |
| 0.0386        | 401.0  | 5614  | 2.8619          | {'f1': 0.7636867636867638} | {'accuracy': 0.673058485139022}  |
| 0.0386        | 402.0  | 5628  | 2.4249          | {'f1': 0.81301775147929}   | {'accuracy': 0.6970278044103547} |
| 0.0386        | 403.0  | 5642  | 2.4587          | {'f1': 0.8012422360248448} | {'accuracy': 0.6931927133269415} |
| 0.0386        | 404.0  | 5656  | 2.6300          | {'f1': 0.789439793947199}  | {'accuracy': 0.6864813039309684} |
| 0.0386        | 405.0  | 5670  | 2.7827          | {'f1': 0.7902501603592047} | {'accuracy': 0.6864813039309684} |
| 0.0386        | 406.0  | 5684  | 2.9156          | {'f1': 0.7979924717691342} | {'accuracy': 0.6912751677852349} |
| 0.0386        | 407.0  | 5698  | 2.9933          | {'f1': 0.7977457733249842} | {'accuracy': 0.6903163950143816} |
| 0.0386        | 408.0  | 5712  | 3.0452          | {'f1': 0.7984981226533165} | {'accuracy': 0.6912751677852349} |
| 0.0386        | 409.0  | 5726  | 3.0877          | {'f1': 0.7977457733249842} | {'accuracy': 0.6903163950143816} |
| 0.0386        | 410.0  | 5740  | 3.1251          | {'f1': 0.7977457733249842} | {'accuracy': 0.6903163950143816} |
| 0.0386        | 411.0  | 5754  | 3.1571          | {'f1': 0.7977457733249842} | {'accuracy': 0.6903163950143816} |
| 0.0386        | 412.0  | 5768  | 3.1853          | {'f1': 0.7977457733249842} | {'accuracy': 0.6903163950143816} |
| 0.0386        | 413.0  | 5782  | 3.2091          | {'f1': 0.7974921630094044} | {'accuracy': 0.6903163950143816} |
| 0.0386        | 414.0  | 5796  | 3.2227          | {'f1': 0.7974842767295598} | {'accuracy': 0.6912751677852349} |
| 0.0386        | 415.0  | 5810  | 3.2415          | {'f1': 0.7972292191435768} | {'accuracy': 0.6912751677852349} |
| 0.0386        | 416.0  | 5824  | 3.2595          | {'f1': 0.7972292191435768} | {'accuracy': 0.6912751677852349} |
| 0.0386        | 417.0  | 5838  | 3.2776          | {'f1': 0.7972292191435768} | {'accuracy': 0.6912751677852349} |
| 0.0386        | 418.0  | 5852  | 3.3797          | {'f1': 0.8060790273556231} | {'accuracy': 0.6941514860977949} |
| 0.0386        | 419.0  | 5866  | 3.3321          | {'f1': 0.8078335373317013} | {'accuracy': 0.6989453499520614} |
| 0.0386        | 420.0  | 5880  | 3.3471          | {'f1': 0.7839065541855937} | {'accuracy': 0.6807286673058485} |
| 0.0386        | 421.0  | 5894  | 3.3839          | {'f1': 0.7817589576547231} | {'accuracy': 0.6788111217641419} |
| 0.0386        | 422.0  | 5908  | 3.5851          | {'f1': 0.8129793510324486} | {'accuracy': 0.6960690316395014} |
| 0.0386        | 423.0  | 5922  | 2.3379          | {'f1': 0.7357954545454546} | {'accuracy': 0.6433365292425696} |
| 0.0386        | 424.0  | 5936  | 2.2996          | {'f1': 0.8004881025015255} | {'accuracy': 0.6864813039309684} |
| 0.0386        | 425.0  | 5950  | 2.6159          | {'f1': 0.8127962085308056} | {'accuracy': 0.6970278044103547} |
| 0.0386        | 426.0  | 5964  | 2.1799          | {'f1': 0.783641160949868}  | {'accuracy': 0.6855225311601151} |
| 0.0386        | 427.0  | 5978  | 2.3584          | {'f1': 0.7550593161200279} | {'accuracy': 0.663470757430489}  |
| 0.0386        | 428.0  | 5992  | 2.5655          | {'f1': 0.7583333333333333} | {'accuracy': 0.6663470757430489} |
| 0.0139        | 429.0  | 6006  | 2.6718          | {'f1': 0.7762982689747004} | {'accuracy': 0.6778523489932886} |
| 0.0139        | 430.0  | 6020  | 2.6855          | {'f1': 0.8099878197320342} | {'accuracy': 0.700862895493768}  |
| 0.0139        | 431.0  | 6034  | 2.6242          | {'f1': 0.8187838651414812} | {'accuracy': 0.7114093959731543} |
| 0.0139        | 432.0  | 6048  | 2.7400          | {'f1': 0.7626297577854672} | {'accuracy': 0.6711409395973155} |
| 0.0139        | 433.0  | 6062  | 2.6150          | {'f1': 0.8035043804755947} | {'accuracy': 0.6989453499520614} |
| 0.0139        | 434.0  | 6076  | 2.7831          | {'f1': 0.816884661117717}  | {'accuracy': 0.7046979865771812} |
| 0.0139        | 435.0  | 6090  | 2.8820          | {'f1': 0.8170515097690941} | {'accuracy': 0.7037392138063279} |
| 0.0139        | 436.0  | 6104  | 2.9308          | {'f1': 0.8170515097690941} | {'accuracy': 0.7037392138063279} |
| 0.0139        | 437.0  | 6118  | 2.9139          | {'f1': 0.8208430913348946} | {'accuracy': 0.7066155321188878} |
| 0.0139        | 438.0  | 6132  | 2.5585          | {'f1': 0.789980732177264}  | {'accuracy': 0.6864813039309684} |
| 0.0139        | 439.0  | 6146  | 2.7080          | {'f1': 0.7666214382632293} | {'accuracy': 0.6701821668264621} |
| 0.0139        | 440.0  | 6160  | 2.7866          | {'f1': 0.7995003123048096} | {'accuracy': 0.6922339405560882} |
| 0.0139        | 441.0  | 6174  | 2.9026          | {'f1': 0.7902501603592047} | {'accuracy': 0.6864813039309684} |
| 0.0139        | 442.0  | 6188  | 2.5432          | {'f1': 0.7967479674796749} | {'accuracy': 0.6883988494726749} |
| 0.0139        | 443.0  | 6202  | 2.5238          | {'f1': 0.7884984025559105} | {'accuracy': 0.6826462128475551} |
| 0.0139        | 444.0  | 6216  | 2.8826          | {'f1': 0.8093806374022849} | {'accuracy': 0.6960690316395014} |
| 0.0139        | 445.0  | 6230  | 2.9984          | {'f1': 0.8084084084084086} | {'accuracy': 0.6941514860977949} |
| 0.0139        | 446.0  | 6244  | 2.8499          | {'f1': 0.7786666666666666} | {'accuracy': 0.6816874400767018} |
| 0.0139        | 447.0  | 6258  | 3.1524          | {'f1': 0.8126115407495538} | {'accuracy': 0.697986577181208}  |
| 0.0139        | 448.0  | 6272  | 2.5939          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0139        | 449.0  | 6286  | 2.6332          | {'f1': 0.7931904161412359} | {'accuracy': 0.6855225311601151} |
| 0.0139        | 450.0  | 6300  | 2.7604          | {'f1': 0.7967377666248431} | {'accuracy': 0.6893576222435283} |
| 0.0139        | 451.0  | 6314  | 2.8788          | {'f1': 0.7964934251721979} | {'accuracy': 0.6883988494726749} |
| 0.0139        | 452.0  | 6328  | 2.9752          | {'f1': 0.7977598008711886} | {'accuracy': 0.6883988494726749} |
| 0.0139        | 453.0  | 6342  | 3.0790          | {'f1': 0.8051628764597419} | {'accuracy': 0.6960690316395014} |
| 0.0139        | 454.0  | 6356  | 3.0948          | {'f1': 0.8017294626312539} | {'accuracy': 0.6922339405560882} |
| 0.0139        | 455.0  | 6370  | 3.1021          | {'f1': 0.7654656696125086} | {'accuracy': 0.6692233940556088} |
| 0.0139        | 456.0  | 6384  | 3.2690          | {'f1': 0.8085867620751341} | {'accuracy': 0.6922339405560882} |
| 0.0139        | 457.0  | 6398  | 3.2204          | {'f1': 0.7992541951522685} | {'accuracy': 0.6903163950143816} |
| 0.0139        | 458.0  | 6412  | 3.2453          | {'f1': 0.8039336201598035} | {'accuracy': 0.6941514860977949} |
| 0.0139        | 459.0  | 6426  | 3.5301          | {'f1': 0.8210770121598145} | {'accuracy': 0.7037392138063279} |
| 0.0139        | 460.0  | 6440  | 3.0254          | {'f1': 0.7910643889618922} | {'accuracy': 0.6951102588686481} |
| 0.0139        | 461.0  | 6454  | 2.9332          | {'f1': 0.7884362680683311} | {'accuracy': 0.6912751677852349} |
| 0.0139        | 462.0  | 6468  | 2.9699          | {'f1': 0.8173706127305176} | {'accuracy': 0.7056567593480345} |
| 0.0139        | 463.0  | 6482  | 3.0001          | {'f1': 0.7793427230046948} | {'accuracy': 0.6845637583892618} |
| 0.0139        | 464.0  | 6496  | 2.7538          | {'f1': 0.8061349693251534} | {'accuracy': 0.6970278044103547} |
| 0.0131        | 465.0  | 6510  | 2.8126          | {'f1': 0.814769975786925}  | {'accuracy': 0.7066155321188878} |
| 0.0131        | 466.0  | 6524  | 2.8735          | {'f1': 0.8087697929354447} | {'accuracy': 0.6989453499520614} |
| 0.0131        | 467.0  | 6538  | 2.3578          | {'f1': 0.7785145888594166} | {'accuracy': 0.6797698945349953} |
| 0.0131        | 468.0  | 6552  | 2.3761          | {'f1': 0.8017621145374451} | {'accuracy': 0.697986577181208}  |
| 0.0131        | 469.0  | 6566  | 2.7318          | {'f1': 0.7972116603295311} | {'accuracy': 0.6931927133269415} |
| 0.0131        | 470.0  | 6580  | 2.9010          | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
| 0.0131        | 471.0  | 6594  | 2.9826          | {'f1': 0.7949044585987262} | {'accuracy': 0.6912751677852349} |
| 0.0131        | 472.0  | 6608  | 3.0332          | {'f1': 0.7949044585987262} | {'accuracy': 0.6912751677852349} |
| 0.0131        | 473.0  | 6622  | 3.2024          | {'f1': 0.8156490812092472} | {'accuracy': 0.7018216682646213} |
| 0.0131        | 474.0  | 6636  | 2.4478          | {'f1': 0.7954110898661567} | {'accuracy': 0.6922339405560882} |
| 0.0131        | 475.0  | 6650  | 2.4456          | {'f1': 0.8012422360248448} | {'accuracy': 0.6931927133269415} |
| 0.0131        | 476.0  | 6664  | 2.6001          | {'f1': 0.8027295285359802} | {'accuracy': 0.6951102588686481} |
| 0.0131        | 477.0  | 6678  | 2.7400          | {'f1': 0.800995024875622}  | {'accuracy': 0.6931927133269415} |
| 0.0131        | 478.0  | 6692  | 2.8320          | {'f1': 0.7964934251721979} | {'accuracy': 0.6883988494726749} |
| 0.0131        | 479.0  | 6706  | 2.5281          | {'f1': 0.7469707769066287} | {'accuracy': 0.6596356663470757} |
| 0.0131        | 480.0  | 6720  | 2.5766          | {'f1': 0.8161120840630472} | {'accuracy': 0.697986577181208}  |
| 0.0131        | 481.0  | 6734  | 2.5305          | {'f1': 0.7659574468085106} | {'accuracy': 0.6625119846596357} |
| 0.0131        | 482.0  | 6748  | 2.3921          | {'f1': 0.7960074859638179} | {'accuracy': 0.6864813039309684} |
| 0.0131        | 483.0  | 6762  | 2.4996          | {'f1': 0.7952110901071204} | {'accuracy': 0.6883988494726749} |
| 0.0131        | 484.0  | 6776  | 2.6653          | {'f1': 0.7762982689747004} | {'accuracy': 0.6778523489932886} |
| 0.0131        | 485.0  | 6790  | 3.0385          | {'f1': 0.8012232415902141} | {'accuracy': 0.6883988494726749} |
| 0.0131        | 486.0  | 6804  | 3.1716          | {'f1': 0.8043609933373714} | {'accuracy': 0.6903163950143816} |
| 0.0131        | 487.0  | 6818  | 3.2276          | {'f1': 0.8050847457627118} | {'accuracy': 0.6912751677852349} |
| 0.0131        | 488.0  | 6832  | 1.7698          | {'f1': 0.7873015873015873} | {'accuracy': 0.6788111217641419} |
| 0.0131        | 489.0  | 6846  | 2.4308          | {'f1': 0.7795733678086618} | {'accuracy': 0.673058485139022}  |
| 0.0131        | 490.0  | 6860  | 2.6855          | {'f1': 0.8183421516754849} | {'accuracy': 0.7037392138063279} |
| 0.0131        | 491.0  | 6874  | 2.9189          | {'f1': 0.815556865055981}  | {'accuracy': 0.6999041227229147} |
| 0.0131        | 492.0  | 6888  | 2.2206          | {'f1': 0.8074074074074074} | {'accuracy': 0.700862895493768}  |
| 0.0131        | 493.0  | 6902  | 2.7540          | {'f1': 0.7964601769911506} | {'accuracy': 0.6912751677852349} |
| 0.0131        | 494.0  | 6916  | 2.9364          | {'f1': 0.7921169739351557} | {'accuracy': 0.6864813039309684} |
| 0.0131        | 495.0  | 6930  | 3.0218          | {'f1': 0.7918523233609166} | {'accuracy': 0.6864813039309684} |
| 0.0131        | 496.0  | 6944  | 3.0702          | {'f1': 0.7918523233609166} | {'accuracy': 0.6864813039309684} |
| 0.0131        | 497.0  | 6958  | 3.1052          | {'f1': 0.7923566878980891} | {'accuracy': 0.6874400767018217} |
| 0.0131        | 498.0  | 6972  | 3.1330          | {'f1': 0.7923566878980891} | {'accuracy': 0.6874400767018217} |
| 0.0131        | 499.0  | 6986  | 3.1602          | {'f1': 0.7923566878980891} | {'accuracy': 0.6874400767018217} |
| 0.01          | 500.0  | 7000  | 3.1835          | {'f1': 0.7908163265306123} | {'accuracy': 0.6855225311601151} |
| 0.01          | 501.0  | 7014  | 3.4305          | {'f1': 0.8145539906103286} | {'accuracy': 0.6970278044103547} |
| 0.01          | 502.0  | 7028  | 3.0261          | {'f1': 0.8069522036002483} | {'accuracy': 0.7018216682646213} |
| 0.01          | 503.0  | 7042  | 3.0151          | {'f1': 0.8149038461538463} | {'accuracy': 0.7046979865771812} |
| 0.01          | 504.0  | 7056  | 2.3399          | {'f1': 0.7908163265306123} | {'accuracy': 0.6855225311601151} |
| 0.01          | 505.0  | 7070  | 2.4023          | {'f1': 0.760719225449516}  | {'accuracy': 0.6682646212847555} |
| 0.01          | 506.0  | 7084  | 3.1157          | {'f1': 0.8193054738081225} | {'accuracy': 0.7056567593480345} |
| 0.01          | 507.0  | 7098  | 3.0538          | {'f1': 0.7773386034255599} | {'accuracy': 0.675934803451582}  |
| 0.01          | 508.0  | 7112  | 3.2491          | {'f1': 0.7611336032388664} | {'accuracy': 0.660594439117929}  |
| 0.01          | 509.0  | 7126  | 3.1690          | {'f1': 0.8187759952465835} | {'accuracy': 0.7075743048897412} |
| 0.01          | 510.0  | 7140  | 1.9933          | {'f1': 0.7932542161149281} | {'accuracy': 0.6826462128475551} |
| 0.01          | 511.0  | 7154  | 2.4739          | {'f1': 0.7874920229738352} | {'accuracy': 0.6807286673058485} |
| 0.01          | 512.0  | 7168  | 2.8603          | {'f1': 0.7879948914431673} | {'accuracy': 0.6816874400767018} |
| 0.01          | 513.0  | 7182  | 3.0046          | {'f1': 0.7874920229738352} | {'accuracy': 0.6807286673058485} |
| 0.01          | 514.0  | 7196  | 3.0889          | {'f1': 0.787531806615776}  | {'accuracy': 0.6797698945349953} |
| 0.01          | 515.0  | 7210  | 3.1337          | {'f1': 0.7883026064844246} | {'accuracy': 0.6807286673058485} |
| 0.01          | 516.0  | 7224  | 3.1658          | {'f1': 0.7883026064844246} | {'accuracy': 0.6807286673058485} |
| 0.01          | 517.0  | 7238  | 3.2695          | {'f1': 0.8088675853804673} | {'accuracy': 0.6941514860977949} |
| 0.01          | 518.0  | 7252  | 3.6988          | {'f1': 0.766996699669967}  | {'accuracy': 0.6615532118887824} |
| 0.01          | 519.0  | 7266  | 3.3198          | {'f1': 0.8041362530413625} | {'accuracy': 0.6912751677852349} |
| 0.01          | 520.0  | 7280  | 3.4886          | {'f1': 0.774490466798159}  | {'accuracy': 0.6711409395973155} |
| 0.01          | 521.0  | 7294  | 3.4256          | {'f1': 0.8029020556227328} | {'accuracy': 0.6874400767018217} |
| 0.01          | 522.0  | 7308  | 3.8505          | {'f1': 0.7377398720682303} | {'accuracy': 0.6462128475551294} |
| 0.01          | 523.0  | 7322  | 2.4827          | {'f1': 0.7786458333333334} | {'accuracy': 0.6740172579098753} |
| 0.01          | 524.0  | 7336  | 2.6362          | {'f1': 0.7823303457106274} | {'accuracy': 0.6740172579098753} |
| 0.01          | 525.0  | 7350  | 2.8792          | {'f1': 0.7836630504148053} | {'accuracy': 0.6749760306807286} |
| 0.01          | 526.0  | 7364  | 3.0368          | {'f1': 0.7859872611464968} | {'accuracy': 0.6778523489932886} |
| 0.01          | 527.0  | 7378  | 3.1382          | {'f1': 0.7867600254614894} | {'accuracy': 0.6788111217641419} |
| 0.01          | 528.0  | 7392  | 3.1761          | {'f1': 0.7970112079701122} | {'accuracy': 0.6874400767018217} |
| 0.01          | 529.0  | 7406  | 3.2169          | {'f1': 0.8086124401913877} | {'accuracy': 0.6931927133269415} |
| 0.01          | 530.0  | 7420  | 2.8451          | {'f1': 0.7713903743315508} | {'accuracy': 0.6720997123681688} |
| 0.01          | 531.0  | 7434  | 2.6800          | {'f1': 0.8002473716759431} | {'accuracy': 0.6903163950143816} |
| 0.01          | 532.0  | 7448  | 2.7111          | {'f1': 0.7927135678391961} | {'accuracy': 0.6836049856184084} |
| 0.01          | 533.0  | 7462  | 2.0978          | {'f1': 0.7693333333333334} | {'accuracy': 0.6682646212847555} |
| 0.01          | 534.0  | 7476  | 2.1644          | {'f1': 0.8101879927228623} | {'accuracy': 0.6999041227229147} |
| 0.01          | 535.0  | 7490  | 2.9518          | {'f1': 0.794486215538847}  | {'accuracy': 0.6855225311601151} |
| 0.0171        | 536.0  | 7504  | 3.2772          | {'f1': 0.7862156987874921} | {'accuracy': 0.6788111217641419} |
| 0.0171        | 537.0  | 7518  | 3.3964          | {'f1': 0.7848911651728553} | {'accuracy': 0.6778523489932886} |
| 0.0171        | 538.0  | 7532  | 3.4554          | {'f1': 0.7827763496143959} | {'accuracy': 0.675934803451582}  |
| 0.0171        | 539.0  | 7546  | 3.4931          | {'f1': 0.7832797427652733} | {'accuracy': 0.6768935762224353} |
| 0.0171        | 540.0  | 7560  | 3.3635          | {'f1': 0.8051470588235294} | {'accuracy': 0.6951102588686481} |
| 0.0171        | 541.0  | 7574  | 3.3985          | {'f1': 0.8081048867699643} | {'accuracy': 0.6912751677852349} |
| 0.0171        | 542.0  | 7588  | 3.0939          | {'f1': 0.7942643391521197} | {'accuracy': 0.6836049856184084} |
| 0.0171        | 543.0  | 7602  | 2.9466          | {'f1': 0.7718832891246684} | {'accuracy': 0.6701821668264621} |
| 0.0171        | 544.0  | 7616  | 1.8571          | {'f1': 0.7733507511430437} | {'accuracy': 0.6673058485139022} |
| 0.0171        | 545.0  | 7630  | 2.6057          | {'f1': 0.7886075949367087} | {'accuracy': 0.6797698945349953} |
| 0.0171        | 546.0  | 7644  | 2.9589          | {'f1': 0.7889447236180904} | {'accuracy': 0.6778523489932886} |
| 0.0171        | 547.0  | 7658  | 3.0970          | {'f1': 0.7874608150470219} | {'accuracy': 0.6749760306807286} |
| 0.0171        | 548.0  | 7672  | 3.1663          | {'f1': 0.7874608150470219} | {'accuracy': 0.6749760306807286} |
| 0.0171        | 549.0  | 7686  | 3.2126          | {'f1': 0.7874608150470219} | {'accuracy': 0.6749760306807286} |
| 0.0171        | 550.0  | 7700  | 3.2575          | {'f1': 0.7877269881026925} | {'accuracy': 0.6749760306807286} |
| 0.0171        | 551.0  | 7714  | 3.2908          | {'f1': 0.7879924953095684} | {'accuracy': 0.6749760306807286} |
| 0.0171        | 552.0  | 7728  | 3.3198          | {'f1': 0.7879924953095684} | {'accuracy': 0.6749760306807286} |
| 0.0171        | 553.0  | 7742  | 3.3463          | {'f1': 0.7879924953095684} | {'accuracy': 0.6749760306807286} |
| 0.0171        | 554.0  | 7756  | 3.3709          | {'f1': 0.7879924953095684} | {'accuracy': 0.6749760306807286} |
| 0.0171        | 555.0  | 7770  | 3.3941          | {'f1': 0.7875}             | {'accuracy': 0.6740172579098753} |
| 0.0171        | 556.0  | 7784  | 3.4160          | {'f1': 0.7879924953095684} | {'accuracy': 0.6749760306807286} |
| 0.0171        | 557.0  | 7798  | 3.4407          | {'f1': 0.7870081199250469} | {'accuracy': 0.673058485139022}  |
| 0.0171        | 558.0  | 7812  | 3.4644          | {'f1': 0.787765293383271}  | {'accuracy': 0.6740172579098753} |
| 0.0171        | 559.0  | 7826  | 3.4835          | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022}  |
| 0.0171        | 560.0  | 7840  | 3.5017          | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022}  |
| 0.0171        | 561.0  | 7854  | 3.5183          | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022}  |
| 0.0171        | 562.0  | 7868  | 3.5344          | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022}  |
| 0.0171        | 563.0  | 7882  | 3.5497          | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022}  |
| 0.0171        | 564.0  | 7896  | 3.5645          | {'f1': 0.787765293383271}  | {'accuracy': 0.6740172579098753} |
| 0.0171        | 565.0  | 7910  | 3.5784          | {'f1': 0.787765293383271}  | {'accuracy': 0.6740172579098753} |
| 0.0171        | 566.0  | 7924  | 3.5919          | {'f1': 0.787765293383271}  | {'accuracy': 0.6740172579098753} |
| 0.0171        | 567.0  | 7938  | 3.6050          | {'f1': 0.787765293383271}  | {'accuracy': 0.6740172579098753} |
| 0.0171        | 568.0  | 7952  | 3.6171          | {'f1': 0.787765293383271}  | {'accuracy': 0.6740172579098753} |
| 0.0171        | 569.0  | 7966  | 3.6292          | {'f1': 0.787765293383271}  | {'accuracy': 0.6740172579098753} |
| 0.0171        | 570.0  | 7980  | 3.6427          | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022}  |
| 0.0171        | 571.0  | 7994  | 3.6552          | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022}  |
| 0.0034        | 572.0  | 8008  | 3.6665          | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022}  |
| 0.0034        | 573.0  | 8022  | 3.6777          | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022}  |
| 0.0034        | 574.0  | 8036  | 3.6885          | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022}  |
| 0.0034        | 575.0  | 8050  | 3.6986          | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022}  |
| 0.0034        | 576.0  | 8064  | 3.7085          | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022}  |
| 0.0034        | 577.0  | 8078  | 3.7180          | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022}  |
| 0.0034        | 578.0  | 8092  | 3.7272          | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022}  |
| 0.0034        | 579.0  | 8106  | 3.7361          | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022}  |
| 0.0034        | 580.0  | 8120  | 3.7446          | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022}  |
| 0.0034        | 581.0  | 8134  | 3.7552          | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022}  |
| 0.0034        | 582.0  | 8148  | 3.7659          | {'f1': 0.7880299251870324} | {'accuracy': 0.6740172579098753} |
| 0.0034        | 583.0  | 8162  | 3.7752          | {'f1': 0.7887850467289719} | {'accuracy': 0.6749760306807286} |
| 0.0034        | 584.0  | 8176  | 3.7831          | {'f1': 0.7887850467289719} | {'accuracy': 0.6749760306807286} |
| 0.0034        | 585.0  | 8190  | 3.7917          | {'f1': 0.7887850467289719} | {'accuracy': 0.6749760306807286} |
| 0.0034        | 586.0  | 8204  | 3.5543          | {'f1': 0.8146399055489965} | {'accuracy': 0.6989453499520614} |
| 0.0034        | 587.0  | 8218  | 3.0105          | {'f1': 0.8017135862913096} | {'accuracy': 0.6893576222435283} |
| 0.0034        | 588.0  | 8232  | 2.6924          | {'f1': 0.7908163265306123} | {'accuracy': 0.6855225311601151} |
| 0.0034        | 589.0  | 8246  | 2.8289          | {'f1': 0.7997489014438168} | {'accuracy': 0.6941514860977949} |
| 0.0034        | 590.0  | 8260  | 3.0225          | {'f1': 0.8054187192118226} | {'accuracy': 0.6970278044103547} |
| 0.0034        | 591.0  | 8274  | 3.1178          | {'f1': 0.7943805874840357} | {'accuracy': 0.6912751677852349} |
| 0.0034        | 592.0  | 8288  | 3.1906          | {'f1': 0.7889672867222579} | {'accuracy': 0.6845637583892618} |
| 0.0034        | 593.0  | 8302  | 3.2294          | {'f1': 0.7866323907455013} | {'accuracy': 0.6816874400767018} |
| 0.0034        | 594.0  | 8316  | 3.2617          | {'f1': 0.7866323907455013} | {'accuracy': 0.6816874400767018} |
| 0.0034        | 595.0  | 8330  | 3.2899          | {'f1': 0.7874116891457931} | {'accuracy': 0.6826462128475551} |
| 0.0034        | 596.0  | 8344  | 3.3201          | {'f1': 0.7874116891457931} | {'accuracy': 0.6826462128475551} |
| 0.0034        | 597.0  | 8358  | 3.3442          | {'f1': 0.7889672867222579} | {'accuracy': 0.6845637583892618} |
| 0.0034        | 598.0  | 8372  | 3.3655          | {'f1': 0.7897435897435897} | {'accuracy': 0.6855225311601151} |
| 0.0034        | 599.0  | 8386  | 3.3859          | {'f1': 0.7897435897435897} | {'accuracy': 0.6855225311601151} |
| 0.0034        | 600.0  | 8400  | 3.4053          | {'f1': 0.7897435897435897} | {'accuracy': 0.6855225311601151} |
| 0.0034        | 601.0  | 8414  | 3.4259          | {'f1': 0.7905188981422164} | {'accuracy': 0.6864813039309684} |
| 0.0034        | 602.0  | 8428  | 3.4442          | {'f1': 0.7912932138284252} | {'accuracy': 0.6874400767018217} |
| 0.0034        | 603.0  | 8442  | 3.4615          | {'f1': 0.7912932138284252} | {'accuracy': 0.6874400767018217} |
| 0.0034        | 604.0  | 8456  | 3.4766          | {'f1': 0.7912932138284252} | {'accuracy': 0.6874400767018217} |
| 0.0034        | 605.0  | 8470  | 3.4912          | {'f1': 0.7912932138284252} | {'accuracy': 0.6874400767018217} |
| 0.0034        | 606.0  | 8484  | 3.5058          | {'f1': 0.7912932138284252} | {'accuracy': 0.6874400767018217} |
| 0.0034        | 607.0  | 8498  | 3.5228          | {'f1': 0.7928388746803069} | {'accuracy': 0.6893576222435283} |
| 0.0022        | 608.0  | 8512  | 3.5376          | {'f1': 0.7928388746803069} | {'accuracy': 0.6893576222435283} |
| 0.0022        | 609.0  | 8526  | 3.5503          | {'f1': 0.7928388746803069} | {'accuracy': 0.6893576222435283} |
| 0.0022        | 610.0  | 8540  | 3.5641          | {'f1': 0.7928388746803069} | {'accuracy': 0.6893576222435283} |
| 0.0022        | 611.0  | 8554  | 3.5756          | {'f1': 0.7928388746803069} | {'accuracy': 0.6893576222435283} |
| 0.0022        | 612.0  | 8568  | 3.5870          | {'f1': 0.7928388746803069} | {'accuracy': 0.6893576222435283} |
| 0.0022        | 613.0  | 8582  | 3.5977          | {'f1': 0.7928388746803069} | {'accuracy': 0.6893576222435283} |
| 0.0022        | 614.0  | 8596  | 3.6083          | {'f1': 0.7936102236421724} | {'accuracy': 0.6903163950143816} |
| 0.0022        | 615.0  | 8610  | 3.6184          | {'f1': 0.7936102236421724} | {'accuracy': 0.6903163950143816} |
| 0.0022        | 616.0  | 8624  | 3.6284          | {'f1': 0.7936102236421724} | {'accuracy': 0.6903163950143816} |
| 0.0022        | 617.0  | 8638  | 3.6382          | {'f1': 0.7936102236421724} | {'accuracy': 0.6903163950143816} |
| 0.0022        | 618.0  | 8652  | 3.6477          | {'f1': 0.7936102236421724} | {'accuracy': 0.6903163950143816} |
| 0.0022        | 619.0  | 8666  | 3.6308          | {'f1': 0.8015122873345935} | {'accuracy': 0.697986577181208}  |
| 0.0022        | 620.0  | 8680  | 3.6724          | {'f1': 0.8039950062421971} | {'accuracy': 0.6989453499520614} |
| 0.0022        | 621.0  | 8694  | 3.6891          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022        | 622.0  | 8708  | 3.6990          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022        | 623.0  | 8722  | 3.7076          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022        | 624.0  | 8736  | 3.7154          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022        | 625.0  | 8750  | 3.7228          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022        | 626.0  | 8764  | 3.7299          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022        | 627.0  | 8778  | 3.7370          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022        | 628.0  | 8792  | 3.7443          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022        | 629.0  | 8806  | 3.7513          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022        | 630.0  | 8820  | 3.7582          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022        | 631.0  | 8834  | 3.7653          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022        | 632.0  | 8848  | 3.7720          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022        | 633.0  | 8862  | 3.7795          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022        | 634.0  | 8876  | 3.7859          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022        | 635.0  | 8890  | 3.7924          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022        | 636.0  | 8904  | 3.8015          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022        | 637.0  | 8918  | 3.8139          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022        | 638.0  | 8932  | 3.8213          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022        | 639.0  | 8946  | 3.8276          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022        | 640.0  | 8960  | 3.8335          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022        | 641.0  | 8974  | 3.8389          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022        | 642.0  | 8988  | 3.8445          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 643.0  | 9002  | 3.8501          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 644.0  | 9016  | 3.8557          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 645.0  | 9030  | 3.8612          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 646.0  | 9044  | 3.8672          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 647.0  | 9058  | 3.8728          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 648.0  | 9072  | 3.8786          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 649.0  | 9086  | 3.8839          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 650.0  | 9100  | 3.8891          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 651.0  | 9114  | 3.8941          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 652.0  | 9128  | 3.8991          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 653.0  | 9142  | 3.9040          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 654.0  | 9156  | 3.9087          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 655.0  | 9170  | 3.9134          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 656.0  | 9184  | 3.9179          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 657.0  | 9198  | 3.9225          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 658.0  | 9212  | 3.9272          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 659.0  | 9226  | 3.9319          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 660.0  | 9240  | 3.9366          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 661.0  | 9254  | 3.9411          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 662.0  | 9268  | 3.9456          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 663.0  | 9282  | 3.9504          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 664.0  | 9296  | 3.9549          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 665.0  | 9310  | 3.9592          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 666.0  | 9324  | 3.9634          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 667.0  | 9338  | 3.9679          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 668.0  | 9352  | 3.9728          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 669.0  | 9366  | 3.9773          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 670.0  | 9380  | 3.9817          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 671.0  | 9394  | 3.9856          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 672.0  | 9408  | 3.9896          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 673.0  | 9422  | 3.9935          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 674.0  | 9436  | 3.9980          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 675.0  | 9450  | 4.0021          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 676.0  | 9464  | 4.0060          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 677.0  | 9478  | 4.0101          | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0           | 678.0  | 9492  | 4.0167          | {'f1': 0.80522713130056}   | {'accuracy': 0.6999041227229147} |
| 0.0           | 679.0  | 9506  | 4.0360          | {'f1': 0.8042131350681536} | {'accuracy': 0.6970278044103547} |
| 0.0           | 680.0  | 9520  | 4.0438          | {'f1': 0.8042131350681536} | {'accuracy': 0.6970278044103547} |
| 0.0           | 681.0  | 9534  | 4.0486          | {'f1': 0.8042131350681536} | {'accuracy': 0.6970278044103547} |
| 0.0           | 682.0  | 9548  | 4.0525          | {'f1': 0.8042131350681536} | {'accuracy': 0.6970278044103547} |
| 0.0           | 683.0  | 9562  | 4.0563          | {'f1': 0.8042131350681536} | {'accuracy': 0.6970278044103547} |
| 0.0           | 684.0  | 9576  | 4.0601          | {'f1': 0.8042131350681536} | {'accuracy': 0.6970278044103547} |
| 0.0           | 685.0  | 9590  | 4.0634          | {'f1': 0.8042131350681536} | {'accuracy': 0.6970278044103547} |
| 0.0           | 686.0  | 9604  | 4.0670          | {'f1': 0.8042131350681536} | {'accuracy': 0.6970278044103547} |
| 0.0           | 687.0  | 9618  | 4.0708          | {'f1': 0.8042131350681536} | {'accuracy': 0.6970278044103547} |
| 0.0           | 688.0  | 9632  | 4.0744          | {'f1': 0.8042131350681536} | {'accuracy': 0.6970278044103547} |
| 0.0           | 689.0  | 9646  | 4.0779          | {'f1': 0.8042131350681536} | {'accuracy': 0.6970278044103547} |
| 0.0           | 690.0  | 9660  | 4.1401          | {'f1': 0.7400140154169587} | {'accuracy': 0.6442953020134228} |
| 0.0           | 691.0  | 9674  | 2.9080          | {'f1': 0.646677471636953}  | {'accuracy': 0.5819750719079578} |
| 0.0           | 692.0  | 9688  | 2.4996          | {'f1': 0.7581612258494337} | {'accuracy': 0.6519654841802492} |
| 0.0           | 693.0  | 9702  | 1.4869          | {'f1': 0.7620995228357192} | {'accuracy': 0.6653883029721956} |
| 0.0           | 694.0  | 9716  | 2.8832          | {'f1': 0.7965043695380775} | {'accuracy': 0.6874400767018217} |
| 0.0           | 695.0  | 9730  | 2.7789          | {'f1': 0.7964934251721979} | {'accuracy': 0.6883988494726749} |
| 0.0           | 696.0  | 9744  | 2.5898          | {'f1': 0.7841634738186462} | {'accuracy': 0.675934803451582}  |
| 0.0           | 697.0  | 9758  | 3.4876          | {'f1': 0.8086124401913877} | {'accuracy': 0.6931927133269415} |
| 0.0           | 698.0  | 9772  | 1.8756          | {'f1': 0.8088147706968434} | {'accuracy': 0.6922339405560882} |
| 0.0           | 699.0  | 9786  | 2.3075          | {'f1': 0.7590361445783131} | {'accuracy': 0.6548418024928092} |
| 0.0           | 700.0  | 9800  | 2.8974          | {'f1': 0.7997587454764777} | {'accuracy': 0.6816874400767018} |
| 0.0           | 701.0  | 9814  | 1.6630          | {'f1': 0.8114754098360656} | {'accuracy': 0.6912751677852349} |
| 0.0           | 702.0  | 9828  | 2.1706          | {'f1': 0.7496503496503497} | {'accuracy': 0.6567593480345159} |
| 0.0           | 703.0  | 9842  | 2.7023          | {'f1': 0.8097793679189027} | {'accuracy': 0.6941514860977949} |
| 0.0           | 704.0  | 9856  | 2.4143          | {'f1': 0.8107476635514019} | {'accuracy': 0.6893576222435283} |
| 0.0           | 705.0  | 9870  | 2.4155          | {'f1': 0.7537414965986393} | {'accuracy': 0.6529242569511026} |
| 0.0           | 706.0  | 9884  | 2.3257          | {'f1': 0.8095808383233534} | {'accuracy': 0.6951102588686481} |
| 0.0           | 707.0  | 9898  | 2.0575          | {'f1': 0.7878017789072428} | {'accuracy': 0.6797698945349953} |
| 0.0           | 708.0  | 9912  | 2.1041          | {'f1': 0.7755367599219257} | {'accuracy': 0.6692233940556088} |
| 0.0           | 709.0  | 9926  | 2.2808          | {'f1': 0.7997542997542998} | {'accuracy': 0.6874400767018217} |
| 0.0           | 710.0  | 9940  | 2.6174          | {'f1': 0.7856242118537199} | {'accuracy': 0.6740172579098753} |
| 0.0           | 711.0  | 9954  | 2.5097          | {'f1': 0.7977873386601106} | {'accuracy': 0.6845637583892618} |
| 0.0           | 712.0  | 9968  | 1.9034          | {'f1': 0.7704485488126649} | {'accuracy': 0.6663470757430489} |
| 0.0           | 713.0  | 9982  | 1.9435          | {'f1': 0.7874608150470219} | {'accuracy': 0.6749760306807286} |
| 0.0           | 714.0  | 9996  | 2.3099          | {'f1': 0.7732293697205979} | {'accuracy': 0.6653883029721956} |
| 0.0336        | 715.0  | 10010 | 2.6305          | {'f1': 0.7746113989637305} | {'accuracy': 0.6663470757430489} |
| 0.0336        | 716.0  | 10024 | 2.8333          | {'f1': 0.7910725356478611} | {'accuracy': 0.6768935762224353} |
| 0.0336        | 717.0  | 10038 | 2.6909          | {'f1': 0.7624090006618133} | {'accuracy': 0.6558005752636625} |
| 0.0336        | 718.0  | 10052 | 2.8137          | {'f1': 0.8031591737545565} | {'accuracy': 0.6893576222435283} |
| 0.0336        | 719.0  | 10066 | 2.8197          | {'f1': 0.7869897959183674} | {'accuracy': 0.6797698945349953} |
| 0.0336        | 720.0  | 10080 | 3.2168          | {'f1': 0.8111563044741429} | {'accuracy': 0.6883988494726749} |
| 0.0336        | 721.0  | 10094 | 2.8172          | {'f1': 0.787153652392947}  | {'accuracy': 0.675934803451582}  |
| 0.0336        | 722.0  | 10108 | 2.8151          | {'f1': 0.7941176470588236} | {'accuracy': 0.6778523489932886} |
| 0.0336        | 723.0  | 10122 | 2.5693          | {'f1': 0.7926442612555485} | {'accuracy': 0.6864813039309684} |
| 0.0336        | 724.0  | 10136 | 2.6530          | {'f1': 0.7851077726975833} | {'accuracy': 0.6845637583892618} |
| 0.0336        | 725.0  | 10150 | 2.7999          | {'f1': 0.7920154539600773} | {'accuracy': 0.6903163950143816} |
| 0.0336        | 726.0  | 10164 | 2.8568          | {'f1': 0.799492385786802}  | {'accuracy': 0.6970278044103547} |
| 0.0336        | 727.0  | 10178 | 2.9037          | {'f1': 0.7989918084436043} | {'accuracy': 0.6941514860977949} |
| 0.0336        | 728.0  | 10192 | 2.9466          | {'f1': 0.7992448080553808} | {'accuracy': 0.6941514860977949} |
| 0.0336        | 729.0  | 10206 | 2.9810          | {'f1': 0.7992448080553808} | {'accuracy': 0.6941514860977949} |
| 0.0336        | 730.0  | 10220 | 3.0102          | {'f1': 0.7992448080553808} | {'accuracy': 0.6941514860977949} |
| 0.0336        | 731.0  | 10234 | 3.0362          | {'f1': 0.7984886649874057} | {'accuracy': 0.6931927133269415} |
| 0.0336        | 732.0  | 10248 | 3.0591          | {'f1': 0.7984886649874057} | {'accuracy': 0.6931927133269415} |
| 0.0336        | 733.0  | 10262 | 3.0811          | {'f1': 0.7984886649874057} | {'accuracy': 0.6931927133269415} |
| 0.0336        | 734.0  | 10276 | 3.1021          | {'f1': 0.7984886649874057} | {'accuracy': 0.6931927133269415} |
| 0.0336        | 735.0  | 10290 | 3.1223          | {'f1': 0.7984886649874057} | {'accuracy': 0.6931927133269415} |
| 0.0336        | 736.0  | 10304 | 3.1414          | {'f1': 0.7984886649874057} | {'accuracy': 0.6931927133269415} |
| 0.0336        | 737.0  | 10318 | 3.1591          | {'f1': 0.7984886649874057} | {'accuracy': 0.6931927133269415} |
| 0.0336        | 738.0  | 10332 | 3.1765          | {'f1': 0.7989918084436043} | {'accuracy': 0.6941514860977949} |
| 0.0336        | 739.0  | 10346 | 3.1929          | {'f1': 0.7989918084436043} | {'accuracy': 0.6941514860977949} |
| 0.0336        | 740.0  | 10360 | 3.2983          | {'f1': 0.8144269924374637} | {'accuracy': 0.6941514860977949} |
| 0.0336        | 741.0  | 10374 | 2.0174          | {'f1': 0.7792378449408673} | {'accuracy': 0.6778523489932886} |
| 0.0336        | 742.0  | 10388 | 2.3403          | {'f1': 0.7894736842105263} | {'accuracy': 0.6855225311601151} |
| 0.0336        | 743.0  | 10402 | 2.7236          | {'f1': 0.8038507821901323} | {'accuracy': 0.6874400767018217} |
| 0.0336        | 744.0  | 10416 | 2.8384          | {'f1': 0.8022249690976515} | {'accuracy': 0.6931927133269415} |
| 0.0336        | 745.0  | 10430 | 2.8409          | {'f1': 0.8044144696505211} | {'accuracy': 0.6941514860977949} |
| 0.0336        | 746.0  | 10444 | 2.8294          | {'f1': 0.789776357827476}  | {'accuracy': 0.6845637583892618} |
| 0.0336        | 747.0  | 10458 | 2.8725          | {'f1': 0.7883495145631068} | {'accuracy': 0.6864813039309684} |
| 0.0336        | 748.0  | 10472 | 2.9257          | {'f1': 0.7859922178988327} | {'accuracy': 0.6836049856184084} |
| 0.0336        | 749.0  | 10486 | 2.9753          | {'f1': 0.7844155844155843} | {'accuracy': 0.6816874400767018} |
| 0.0105        | 750.0  | 10500 | 3.0187          | {'f1': 0.783625730994152}  | {'accuracy': 0.6807286673058485} |
| 0.0105        | 751.0  | 10514 | 3.1320          | {'f1': 0.798004987531172}  | {'accuracy': 0.6893576222435283} |
| 0.0105        | 752.0  | 10528 | 3.2643          | {'f1': 0.802679658952497}  | {'accuracy': 0.6893576222435283} |
| 0.0105        | 753.0  | 10542 | 3.3017          | {'f1': 0.8021844660194175} | {'accuracy': 0.6874400767018217} |
| 0.0105        | 754.0  | 10556 | 3.3362          | {'f1': 0.8026715239829995} | {'accuracy': 0.6883988494726749} |
| 0.0105        | 755.0  | 10570 | 3.3636          | {'f1': 0.8036474164133739} | {'accuracy': 0.6903163950143816} |
| 0.0105        | 756.0  | 10584 | 3.4007          | {'f1': 0.8019500304692261} | {'accuracy': 0.6883988494726749} |
| 0.0105        | 757.0  | 10598 | 2.4360          | {'f1': 0.796273291925466}  | {'accuracy': 0.6855225311601151} |
| 0.0105        | 758.0  | 10612 | 2.0436          | {'f1': 0.7885714285714285} | {'accuracy': 0.6807286673058485} |
| 0.0105        | 759.0  | 10626 | 2.3992          | {'f1': 0.7851662404092072} | {'accuracy': 0.6778523489932886} |
| 0.0105        | 760.0  | 10640 | 2.6575          | {'f1': 0.8045427375971309} | {'accuracy': 0.6864813039309684} |
| 0.0105        | 761.0  | 10654 | 2.1249          | {'f1': 0.7903430749682339} | {'accuracy': 0.6836049856184084} |
| 0.0105        | 762.0  | 10668 | 2.3252          | {'f1': 0.8022045315370484} | {'accuracy': 0.6903163950143816} |
| 0.0105        | 763.0  | 10682 | 1.3982          | {'f1': 0.8029286150091519} | {'accuracy': 0.6903163950143816} |
| 0.0105        | 764.0  | 10696 | 2.3091          | {'f1': 0.8074834037417018} | {'accuracy': 0.6941514860977949} |
| 0.0105        | 765.0  | 10710 | 2.4466          | {'f1': 0.7936708860759493} | {'accuracy': 0.6874400767018217} |
| 0.0105        | 766.0  | 10724 | 2.5603          | {'f1': 0.7880751782242384} | {'accuracy': 0.6864813039309684} |
| 0.0105        | 767.0  | 10738 | 2.3400          | {'f1': 0.7905792488860598} | {'accuracy': 0.6845637583892618} |
| 0.0105        | 768.0  | 10752 | 2.1074          | {'f1': 0.7967581047381546} | {'accuracy': 0.6874400767018217} |
| 0.0105        | 769.0  | 10766 | 2.4285          | {'f1': 0.7972465581977473} | {'accuracy': 0.6893576222435283} |
| 0.0105        | 770.0  | 10780 | 2.8007          | {'f1': 0.8117302052785924} | {'accuracy': 0.6922339405560882} |
| 0.0105        | 771.0  | 10794 | 2.7913          | {'f1': 0.7854828256642903} | {'accuracy': 0.6826462128475551} |
| 0.0105        | 772.0  | 10808 | 2.7749          | {'f1': 0.7952261306532664} | {'accuracy': 0.6874400767018217} |
| 0.0105        | 773.0  | 10822 | 2.6552          | {'f1': 0.785070785070785}  | {'accuracy': 0.6797698945349953} |
| 0.0105        | 774.0  | 10836 | 2.6299          | {'f1': 0.8019619865113428} | {'accuracy': 0.6903163950143816} |
| 0.0105        | 775.0  | 10850 | 2.7487          | {'f1': 0.7942464040025017} | {'accuracy': 0.6845637583892618} |
| 0.0105        | 776.0  | 10864 | 2.9020          | {'f1': 0.7610738255033558} | {'accuracy': 0.6586768935762224} |
| 0.0105        | 777.0  | 10878 | 3.0131          | {'f1': 0.8073941562313655} | {'accuracy': 0.6903163950143816} |
| 0.0105        | 778.0  | 10892 | 2.9169          | {'f1': 0.7989981214777709} | {'accuracy': 0.6922339405560882} |
| 0.0105        | 779.0  | 10906 | 2.9922          | {'f1': 0.7854828256642903} | {'accuracy': 0.6826462128475551} |
| 0.0105        | 780.0  | 10920 | 3.0236          | {'f1': 0.7816993464052286} | {'accuracy': 0.6797698945349953} |
| 0.0105        | 781.0  | 10934 | 3.0478          | {'f1': 0.7814136125654452} | {'accuracy': 0.6797698945349953} |
| 0.0105        | 782.0  | 10948 | 2.5096          | {'f1': 0.8061349693251534} | {'accuracy': 0.6970278044103547} |
| 0.0105        | 783.0  | 10962 | 2.4751          | {'f1': 0.8068251066422912} | {'accuracy': 0.6960690316395014} |
| 0.0105        | 784.0  | 10976 | 2.6269          | {'f1': 0.8051313378130727} | {'accuracy': 0.6941514860977949} |
| 0.0105        | 785.0  | 10990 | 2.7583          | {'f1': 0.8048929663608563} | {'accuracy': 0.6941514860977949} |
| 0.0125        | 786.0  | 11004 | 2.8499          | {'f1': 0.8041615667074663} | {'accuracy': 0.6931927133269415} |
| 0.0125        | 787.0  | 11018 | 2.9140          | {'f1': 0.8051470588235294} | {'accuracy': 0.6951102588686481} |
| 0.0125        | 788.0  | 11032 | 2.9646          | {'f1': 0.8051470588235294} | {'accuracy': 0.6951102588686481} |
| 0.0125        | 789.0  | 11046 | 3.0031          | {'f1': 0.8044144696505211} | {'accuracy': 0.6941514860977949} |
| 0.0125        | 790.0  | 11060 | 3.0342          | {'f1': 0.8044144696505211} | {'accuracy': 0.6941514860977949} |
| 0.0125        | 791.0  | 11074 | 3.0625          | {'f1': 0.8044144696505211} | {'accuracy': 0.6941514860977949} |
| 0.0125        | 792.0  | 11088 | 3.0898          | {'f1': 0.805402087170043}  | {'accuracy': 0.6960690316395014} |
| 0.0125        | 793.0  | 11102 | 3.1069          | {'f1': 0.8046971569839309} | {'accuracy': 0.6970278044103547} |
| 0.0125        | 794.0  | 11116 | 3.1302          | {'f1': 0.8037151702786378} | {'accuracy': 0.6960690316395014} |
| 0.0125        | 795.0  | 11130 | 3.1525          | {'f1': 0.8039702233250621} | {'accuracy': 0.6970278044103547} |
| 0.0125        | 796.0  | 11144 | 3.1745          | {'f1': 0.8039702233250621} | {'accuracy': 0.6970278044103547} |
| 0.0125        | 797.0  | 11158 | 3.1942          | {'f1': 0.8044692737430168} | {'accuracy': 0.697986577181208}  |
| 0.0125        | 798.0  | 11172 | 3.3614          | {'f1': 0.8155111633372504} | {'accuracy': 0.6989453499520614} |
| 0.0125        | 799.0  | 11186 | 3.1782          | {'f1': 0.8059149722735675} | {'accuracy': 0.697986577181208}  |
| 0.0125        | 800.0  | 11200 | 3.2349          | {'f1': 0.7914032869785084} | {'accuracy': 0.6836049856184084} |
| 0.0125        | 801.0  | 11214 | 3.2522          | {'f1': 0.792884371029225}  | {'accuracy': 0.6874400767018217} |
| 0.0125        | 802.0  | 11228 | 3.2506          | {'f1': 0.8144144144144144} | {'accuracy': 0.7037392138063279} |
| 0.0125        | 803.0  | 11242 | 3.2623          | {'f1': 0.8009888751545118} | {'accuracy': 0.6912751677852349} |
| 0.0125        | 804.0  | 11256 | 3.3890          | {'f1': 0.7697412076974122} | {'accuracy': 0.6673058485139022} |
| 0.0125        | 805.0  | 11270 | 3.2185          | {'f1': 0.8158673771462404} | {'accuracy': 0.7018216682646213} |
| 0.0125        | 806.0  | 11284 | 3.2061          | {'f1': 0.8144635447540012} | {'accuracy': 0.6999041227229147} |
| 0.0125        | 807.0  | 11298 | 3.2242          | {'f1': 0.8135391923990499} | {'accuracy': 0.6989453499520614} |
| 0.0125        | 808.0  | 11312 | 3.2463          | {'f1': 0.8133174791914387} | {'accuracy': 0.6989453499520614} |
| 0.0125        | 809.0  | 11326 | 3.2673          | {'f1': 0.8130952380952382} | {'accuracy': 0.6989453499520614} |
| 0.0125        | 810.0  | 11340 | 3.3456          | {'f1': 0.8145968216597999} | {'accuracy': 0.697986577181208}  |
| 0.0125        | 811.0  | 11354 | 3.5935          | {'f1': 0.6806853582554517} | {'accuracy': 0.6069031639501438} |
| 0.0125        | 812.0  | 11368 | 3.1911          | {'f1': 0.8133022170361727} | {'accuracy': 0.6931927133269415} |
| 0.0125        | 813.0  | 11382 | 2.2296          | {'f1': 0.8026960784313726} | {'accuracy': 0.6912751677852349} |
| 0.0125        | 814.0  | 11396 | 2.1487          | {'f1': 0.8034610630407911} | {'accuracy': 0.6951102588686481} |
| 0.0125        | 815.0  | 11410 | 2.4580          | {'f1': 0.8057726999398676} | {'accuracy': 0.6903163950143816} |
| 0.0125        | 816.0  | 11424 | 2.6031          | {'f1': 0.8051313378130727} | {'accuracy': 0.6941514860977949} |
| 0.0125        | 817.0  | 11438 | 2.7477          | {'f1': 0.7960199004975124} | {'accuracy': 0.6855225311601151} |
| 0.0125        | 818.0  | 11452 | 2.8351          | {'f1': 0.7947598253275109} | {'accuracy': 0.6845637583892618} |
| 0.0125        | 819.0  | 11466 | 2.8920          | {'f1': 0.7940074906367042} | {'accuracy': 0.6836049856184084} |
| 0.0125        | 820.0  | 11480 | 2.9387          | {'f1': 0.7932542161149281} | {'accuracy': 0.6826462128475551} |
| 0.0125        | 821.0  | 11494 | 2.9772          | {'f1': 0.7925}             | {'accuracy': 0.6816874400767018} |
| 0.0096        | 822.0  | 11508 | 3.0117          | {'f1': 0.7925}             | {'accuracy': 0.6816874400767018} |
| 0.0096        | 823.0  | 11522 | 3.0435          | {'f1': 0.7925}             | {'accuracy': 0.6816874400767018} |
| 0.0096        | 824.0  | 11536 | 3.0739          | {'f1': 0.7925}             | {'accuracy': 0.6816874400767018} |
| 0.0096        | 825.0  | 11550 | 3.1028          | {'f1': 0.7925}             | {'accuracy': 0.6816874400767018} |
| 0.0096        | 826.0  | 11564 | 3.1284          | {'f1': 0.7925}             | {'accuracy': 0.6816874400767018} |
| 0.0096        | 827.0  | 11578 | 3.1520          | {'f1': 0.7925}             | {'accuracy': 0.6816874400767018} |
| 0.0096        | 828.0  | 11592 | 3.1731          | {'f1': 0.7925}             | {'accuracy': 0.6816874400767018} |
| 0.0096        | 829.0  | 11606 | 3.1937          | {'f1': 0.7925}             | {'accuracy': 0.6816874400767018} |
| 0.0096        | 830.0  | 11620 | 3.2123          | {'f1': 0.7925}             | {'accuracy': 0.6816874400767018} |
| 0.0096        | 831.0  | 11634 | 3.2317          | {'f1': 0.7940074906367042} | {'accuracy': 0.6836049856184084} |
| 0.0096        | 832.0  | 11648 | 3.2467          | {'f1': 0.7947598253275109} | {'accuracy': 0.6845637583892618} |
| 0.0096        | 833.0  | 11662 | 3.2533          | {'f1': 0.795765877957659}  | {'accuracy': 0.6855225311601151} |
| 0.0096        | 834.0  | 11676 | 2.1618          | {'f1': 0.7824967824967826} | {'accuracy': 0.675934803451582}  |
| 0.0096        | 835.0  | 11690 | 2.2790          | {'f1': 0.7832797427652733} | {'accuracy': 0.6768935762224353} |
| 0.0096        | 836.0  | 11704 | 2.4668          | {'f1': 0.8102189781021897} | {'accuracy': 0.700862895493768}  |
| 0.0096        | 837.0  | 11718 | 2.6944          | {'f1': 0.7967781908302354} | {'accuracy': 0.6855225311601151} |
| 0.0096        | 838.0  | 11732 | 3.1190          | {'f1': 0.7285613040396882} | {'accuracy': 0.6327900287631831} |
| 0.0096        | 839.0  | 11746 | 2.6049          | {'f1': 0.8101714961561206} | {'accuracy': 0.6922339405560882} |
| 0.0096        | 840.0  | 11760 | 2.4138          | {'f1': 0.7814313346228239} | {'accuracy': 0.6749760306807286} |
| 0.0096        | 841.0  | 11774 | 2.5248          | {'f1': 0.7666232073011733} | {'accuracy': 0.6567593480345159} |
| 0.0096        | 842.0  | 11788 | 2.6201          | {'f1': 0.7840909090909092} | {'accuracy': 0.6720997123681688} |
| 0.0096        | 843.0  | 11802 | 2.7947          | {'f1': 0.7738172391445236} | {'accuracy': 0.6653883029721956} |
| 0.0096        | 844.0  | 11816 | 2.8672          | {'f1': 0.7685123415610408} | {'accuracy': 0.6673058485139022} |
| 0.0096        | 845.0  | 11830 | 2.9205          | {'f1': 0.7658142664872141} | {'accuracy': 0.6663470757430489} |
| 0.0096        | 846.0  | 11844 | 2.8611          | {'f1': 0.8059347181008901} | {'accuracy': 0.6864813039309684} |
| 0.0096        | 847.0  | 11858 | 2.9896          | {'f1': 0.741913282863042}  | {'accuracy': 0.6404602109300096} |
| 0.0096        | 848.0  | 11872 | 2.8494          | {'f1': 0.8009797917942437} | {'accuracy': 0.6883988494726749} |
| 0.0096        | 849.0  | 11886 | 2.9095          | {'f1': 0.7990196078431373} | {'accuracy': 0.6855225311601151} |
| 0.0096        | 850.0  | 11900 | 3.0129          | {'f1': 0.7738562091503267} | {'accuracy': 0.6682646212847555} |
| 0.0096        | 851.0  | 11914 | 2.8402          | {'f1': 0.8009708737864079} | {'accuracy': 0.6855225311601151} |
| 0.0096        | 852.0  | 11928 | 2.9642          | {'f1': 0.8095808383233534} | {'accuracy': 0.6951102588686481} |
| 0.0096        | 853.0  | 11942 | 2.9493          | {'f1': 0.7949526813880126} | {'accuracy': 0.6883988494726749} |
| 0.0096        | 854.0  | 11956 | 2.9942          | {'f1': 0.7897435897435897} | {'accuracy': 0.6855225311601151} |
| 0.0096        | 855.0  | 11970 | 3.0264          | {'f1': 0.787917737789203}  | {'accuracy': 0.6836049856184084} |
| 0.0096        | 856.0  | 11984 | 3.0503          | {'f1': 0.787917737789203}  | {'accuracy': 0.6836049856184084} |
| 0.0096        | 857.0  | 11998 | 3.0713          | {'f1': 0.7889672867222579} | {'accuracy': 0.6845637583892618} |
| 0.0067        | 858.0  | 12012 | 3.0908          | {'f1': 0.7897435897435897} | {'accuracy': 0.6855225311601151} |
| 0.0067        | 859.0  | 12026 | 3.1080          | {'f1': 0.7905188981422164} | {'accuracy': 0.6864813039309684} |
| 0.0067        | 860.0  | 12040 | 3.1253          | {'f1': 0.7905188981422164} | {'accuracy': 0.6864813039309684} |
| 0.0067        | 861.0  | 12054 | 3.1406          | {'f1': 0.7905188981422164} | {'accuracy': 0.6864813039309684} |
| 0.0067        | 862.0  | 12068 | 3.1550          | {'f1': 0.7905188981422164} | {'accuracy': 0.6864813039309684} |
| 0.0067        | 863.0  | 12082 | 3.1693          | {'f1': 0.7905491698595146} | {'accuracy': 0.6855225311601151} |
| 0.0067        | 864.0  | 12096 | 3.1855          | {'f1': 0.7890376035691524} | {'accuracy': 0.6826462128475551} |
| 0.0067        | 865.0  | 12110 | 3.1992          | {'f1': 0.7888040712468193} | {'accuracy': 0.6816874400767018} |
| 0.0067        | 866.0  | 12124 | 3.2113          | {'f1': 0.7888040712468193} | {'accuracy': 0.6816874400767018} |
| 0.0067        | 867.0  | 12138 | 3.3320          | {'f1': 0.809042236763831}  | {'accuracy': 0.6922339405560882} |
| 0.0067        | 868.0  | 12152 | 3.1454          | {'f1': 0.8004956629491946} | {'accuracy': 0.6912751677852349} |
| 0.0067        | 869.0  | 12166 | 2.2814          | {'f1': 0.7754569190600522} | {'accuracy': 0.6701821668264621} |
| 0.0067        | 870.0  | 12180 | 2.1596          | {'f1': 0.7819935691318328} | {'accuracy': 0.6749760306807286} |
| 0.0067        | 871.0  | 12194 | 2.4186          | {'f1': 0.7900763358778626} | {'accuracy': 0.6836049856184084} |
| 0.0067        | 872.0  | 12208 | 2.6126          | {'f1': 0.7934093789607097} | {'accuracy': 0.6874400767018217} |
| 0.0067        | 873.0  | 12222 | 2.7280          | {'f1': 0.7929069031032299} | {'accuracy': 0.6864813039309684} |
| 0.0067        | 874.0  | 12236 | 2.8034          | {'f1': 0.7931688804554079} | {'accuracy': 0.6864813039309684} |
| 0.0067        | 875.0  | 12250 | 2.8583          | {'f1': 0.7939317319848294} | {'accuracy': 0.6874400767018217} |
| 0.0067        | 876.0  | 12264 | 2.9026          | {'f1': 0.7941919191919192} | {'accuracy': 0.6874400767018217} |
| 0.0067        | 877.0  | 12278 | 2.9909          | {'f1': 0.7549219280380176} | {'accuracy': 0.6538830297219559} |
| 0.0067        | 878.0  | 12292 | 3.1350          | {'f1': 0.7380125086865879} | {'accuracy': 0.638542665388303}  |
| 0.0067        | 879.0  | 12306 | 3.1946          | {'f1': 0.7388888888888888} | {'accuracy': 0.6395014381591563} |
| 0.0067        | 880.0  | 12320 | 2.8247          | {'f1': 0.8067226890756302} | {'accuracy': 0.6912751677852349} |
| 0.0067        | 881.0  | 12334 | 2.8722          | {'f1': 0.7964713295526151} | {'accuracy': 0.6903163950143816} |
| 0.0067        | 882.0  | 12348 | 2.9726          | {'f1': 0.7916666666666666} | {'accuracy': 0.6836049856184084} |
| 0.0067        | 883.0  | 12362 | 2.0503          | {'f1': 0.7902316844082655} | {'accuracy': 0.6788111217641419} |
| 0.0067        | 884.0  | 12376 | 2.2566          | {'f1': 0.762982689747004}  | {'accuracy': 0.6586768935762224} |
| 0.0067        | 885.0  | 12390 | 2.5345          | {'f1': 0.7482900136798906} | {'accuracy': 0.6471716203259827} |
| 0.0067        | 886.0  | 12404 | 2.3469          | {'f1': 0.8074608904933815} | {'accuracy': 0.6931927133269415} |
| 0.0067        | 887.0  | 12418 | 2.5862          | {'f1': 0.8064516129032258} | {'accuracy': 0.6893576222435283} |
| 0.0067        | 888.0  | 12432 | 2.5826          | {'f1': 0.7739018087855296} | {'accuracy': 0.6644295302013423} |
| 0.0067        | 889.0  | 12446 | 1.7072          | {'f1': 0.8079625292740047} | {'accuracy': 0.6855225311601151} |
| 0.0067        | 890.0  | 12460 | 1.9819          | {'f1': 0.7921036397285627} | {'accuracy': 0.6768935762224353} |
| 0.0067        | 891.0  | 12474 | 2.4270          | {'f1': 0.7878787878787877} | {'accuracy': 0.6778523489932886} |
| 0.0067        | 892.0  | 12488 | 2.7292          | {'f1': 0.7868020304568528} | {'accuracy': 0.6778523489932886} |
| 0.0179        | 893.0  | 12502 | 2.9077          | {'f1': 0.7850348763474951} | {'accuracy': 0.6749760306807286} |
| 0.0179        | 894.0  | 12516 | 2.9534          | {'f1': 0.8055388320288983} | {'accuracy': 0.6903163950143816} |
| 0.0179        | 895.0  | 12530 | 2.9109          | {'f1': 0.8014616321559075} | {'accuracy': 0.6874400767018217} |
| 0.0179        | 896.0  | 12544 | 2.9231          | {'f1': 0.7866323907455013} | {'accuracy': 0.6816874400767018} |
| 0.0179        | 897.0  | 12558 | 3.0247          | {'f1': 0.776978417266187}  | {'accuracy': 0.673058485139022}  |
| 0.0179        | 898.0  | 12572 | 3.0734          | {'f1': 0.7763934426229508} | {'accuracy': 0.673058485139022}  |
| 0.0179        | 899.0  | 12586 | 3.1086          | {'f1': 0.7755905511811024} | {'accuracy': 0.6720997123681688} |
| 0.0179        | 900.0  | 12600 | 3.1392          | {'f1': 0.7755905511811024} | {'accuracy': 0.6720997123681688} |
| 0.0179        | 901.0  | 12614 | 3.1647          | {'f1': 0.777704918032787}  | {'accuracy': 0.6749760306807286} |
| 0.0179        | 902.0  | 12628 | 3.1521          | {'f1': 0.8086124401913877} | {'accuracy': 0.6931927133269415} |
| 0.0179        | 903.0  | 12642 | 3.2180          | {'f1': 0.8089359200470311} | {'accuracy': 0.6883988494726749} |
| 0.0179        | 904.0  | 12656 | 3.1575          | {'f1': 0.806060606060606}  | {'accuracy': 0.6931927133269415} |
| 0.0179        | 905.0  | 12670 | 2.9680          | {'f1': 0.7898089171974522} | {'accuracy': 0.6836049856184084} |
| 0.0179        | 906.0  | 12684 | 3.0305          | {'f1': 0.7590847913862718} | {'accuracy': 0.6567593480345159} |
| 0.0179        | 907.0  | 12698 | 3.0671          | {'f1': 0.7527173913043477} | {'accuracy': 0.6510067114093959} |
| 0.0179        | 908.0  | 12712 | 3.0933          | {'f1': 0.761904761904762}  | {'accuracy': 0.6596356663470757} |
| 0.0179        | 909.0  | 12726 | 3.0349          | {'f1': 0.7815344603381015} | {'accuracy': 0.6778523489932886} |
| 0.0179        | 910.0  | 12740 | 3.0554          | {'f1': 0.7863137508069723} | {'accuracy': 0.6826462128475551} |
| 0.0179        | 911.0  | 12754 | 3.0838          | {'f1': 0.7873711340206186} | {'accuracy': 0.6836049856184084} |
| 0.0179        | 912.0  | 12768 | 3.1084          | {'f1': 0.7873711340206186} | {'accuracy': 0.6836049856184084} |
| 0.0179        | 913.0  | 12782 | 3.1307          | {'f1': 0.7873711340206186} | {'accuracy': 0.6836049856184084} |
| 0.0179        | 914.0  | 12796 | 3.1515          | {'f1': 0.7873711340206186} | {'accuracy': 0.6836049856184084} |
| 0.0179        | 915.0  | 12810 | 3.1712          | {'f1': 0.7881519639407599} | {'accuracy': 0.6845637583892618} |
| 0.0179        | 916.0  | 12824 | 3.1899          | {'f1': 0.7881519639407599} | {'accuracy': 0.6845637583892618} |
| 0.0179        | 917.0  | 12838 | 3.2086          | {'f1': 0.7881519639407599} | {'accuracy': 0.6845637583892618} |
| 0.0179        | 918.0  | 12852 | 3.2267          | {'f1': 0.7881519639407599} | {'accuracy': 0.6845637583892618} |
| 0.0179        | 919.0  | 12866 | 3.2433          | {'f1': 0.7881519639407599} | {'accuracy': 0.6845637583892618} |
| 0.0179        | 920.0  | 12880 | 3.2591          | {'f1': 0.7889317889317888} | {'accuracy': 0.6855225311601151} |
| 0.0179        | 921.0  | 12894 | 3.2748          | {'f1': 0.7881519639407599} | {'accuracy': 0.6845637583892618} |
| 0.0179        | 922.0  | 12908 | 3.2895          | {'f1': 0.7889317889317888} | {'accuracy': 0.6855225311601151} |
| 0.0179        | 923.0  | 12922 | 3.3036          | {'f1': 0.7889317889317888} | {'accuracy': 0.6855225311601151} |
| 0.0179        | 924.0  | 12936 | 3.3172          | {'f1': 0.7889317889317888} | {'accuracy': 0.6855225311601151} |
| 0.0179        | 925.0  | 12950 | 3.3303          | {'f1': 0.7889317889317888} | {'accuracy': 0.6855225311601151} |
| 0.0179        | 926.0  | 12964 | 3.3430          | {'f1': 0.7889317889317888} | {'accuracy': 0.6855225311601151} |
| 0.0179        | 927.0  | 12978 | 3.3560          | {'f1': 0.7889317889317888} | {'accuracy': 0.6855225311601151} |
| 0.0179        | 928.0  | 12992 | 3.3683          | {'f1': 0.7889317889317888} | {'accuracy': 0.6855225311601151} |
| 0.0019        | 929.0  | 13006 | 3.3764          | {'f1': 0.7886962106615284} | {'accuracy': 0.6845637583892618} |
| 0.0019        | 930.0  | 13020 | 3.3864          | {'f1': 0.7894736842105263} | {'accuracy': 0.6855225311601151} |
| 0.0019        | 931.0  | 13034 | 3.3973          | {'f1': 0.7894736842105263} | {'accuracy': 0.6855225311601151} |
| 0.0019        | 932.0  | 13048 | 3.4094          | {'f1': 0.7910543130990415} | {'accuracy': 0.6864813039309684} |
| 0.0019        | 933.0  | 13062 | 3.4090          | {'f1': 0.7923566878980891} | {'accuracy': 0.6874400767018217} |
| 0.0019        | 934.0  | 13076 | 3.4160          | {'f1': 0.7931253978357733} | {'accuracy': 0.6883988494726749} |
| 0.0019        | 935.0  | 13090 | 3.4250          | {'f1': 0.7931253978357733} | {'accuracy': 0.6883988494726749} |
| 0.0019        | 936.0  | 13104 | 3.4341          | {'f1': 0.7931253978357733} | {'accuracy': 0.6883988494726749} |
| 0.0019        | 937.0  | 13118 | 3.4424          | {'f1': 0.7964601769911506} | {'accuracy': 0.6912751677852349} |
| 0.0019        | 938.0  | 13132 | 3.4636          | {'f1': 0.7964713295526151} | {'accuracy': 0.6903163950143816} |
| 0.0019        | 939.0  | 13146 | 3.4746          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0019        | 940.0  | 13160 | 3.4828          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0019        | 941.0  | 13174 | 3.4909          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0019        | 942.0  | 13188 | 3.4989          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0019        | 943.0  | 13202 | 3.5067          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0019        | 944.0  | 13216 | 3.5145          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0019        | 945.0  | 13230 | 3.5219          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0019        | 946.0  | 13244 | 3.5292          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0019        | 947.0  | 13258 | 3.5362          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0019        | 948.0  | 13272 | 3.5432          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0019        | 949.0  | 13286 | 3.5501          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0019        | 950.0  | 13300 | 3.5571          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0019        | 951.0  | 13314 | 3.5637          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0019        | 952.0  | 13328 | 3.5702          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0019        | 953.0  | 13342 | 3.5767          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0019        | 954.0  | 13356 | 3.5829          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0019        | 955.0  | 13370 | 3.5896          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0019        | 956.0  | 13384 | 3.5961          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0019        | 957.0  | 13398 | 3.6024          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0019        | 958.0  | 13412 | 3.6087          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0019        | 959.0  | 13426 | 3.6149          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0019        | 960.0  | 13440 | 3.6210          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0019        | 961.0  | 13454 | 3.6269          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0019        | 962.0  | 13468 | 3.6328          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0019        | 963.0  | 13482 | 3.6406          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0019        | 964.0  | 13496 | 3.6469          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 965.0  | 13510 | 3.6528          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 966.0  | 13524 | 3.6586          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 967.0  | 13538 | 3.6641          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 968.0  | 13552 | 3.6695          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 969.0  | 13566 | 3.6749          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 970.0  | 13580 | 3.6799          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 971.0  | 13594 | 3.6850          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 972.0  | 13608 | 3.6901          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 973.0  | 13622 | 3.6955          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 974.0  | 13636 | 3.7006          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 975.0  | 13650 | 3.7057          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 976.0  | 13664 | 3.7107          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 977.0  | 13678 | 3.7155          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 978.0  | 13692 | 3.7206          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 979.0  | 13706 | 3.7256          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 980.0  | 13720 | 3.7304          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 981.0  | 13734 | 3.7350          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 982.0  | 13748 | 3.7395          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 983.0  | 13762 | 3.7441          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 984.0  | 13776 | 3.7488          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 985.0  | 13790 | 3.7534          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 986.0  | 13804 | 3.7580          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 987.0  | 13818 | 3.7623          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 988.0  | 13832 | 3.7668          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 989.0  | 13846 | 3.7713          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 990.0  | 13860 | 3.7758          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 991.0  | 13874 | 3.7803          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 992.0  | 13888 | 3.7847          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 993.0  | 13902 | 3.7890          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 994.0  | 13916 | 3.7935          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 995.0  | 13930 | 3.7980          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 996.0  | 13944 | 3.8022          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 997.0  | 13958 | 3.8063          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 998.0  | 13972 | 3.8102          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 999.0  | 13986 | 3.8142          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 1000.0 | 14000 | 3.8182          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 1001.0 | 14014 | 3.8221          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 1002.0 | 14028 | 3.8258          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 1003.0 | 14042 | 3.8296          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 1004.0 | 14056 | 3.8335          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 1005.0 | 14070 | 3.8375          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 1006.0 | 14084 | 3.8415          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 1007.0 | 14098 | 3.8454          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 1008.0 | 14112 | 3.8491          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 1009.0 | 14126 | 3.8527          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 1010.0 | 14140 | 3.8564          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 1011.0 | 14154 | 3.8601          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 1012.0 | 14168 | 3.8637          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 1013.0 | 14182 | 3.8672          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 1014.0 | 14196 | 3.8707          | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0           | 1015.0 | 14210 | 4.2338          | {'f1': 0.7296137339055794} | {'accuracy': 0.6375838926174496} |
| 0.0           | 1016.0 | 14224 | 3.8537          | {'f1': 0.7980475899938987} | {'accuracy': 0.6826462128475551} |
| 0.0           | 1017.0 | 14238 | 3.8928          | {'f1': 0.7498286497601097} | {'accuracy': 0.6500479386385427} |
| 0.0           | 1018.0 | 14252 | 3.8295          | {'f1': 0.797560975609756}  | {'accuracy': 0.6816874400767018} |
| 0.0           | 1019.0 | 14266 | 2.2139          | {'f1': 0.8042578356002366} | {'accuracy': 0.6826462128475551} |
| 0.0           | 1020.0 | 14280 | 1.8996          | {'f1': 0.8014440433212997} | {'accuracy': 0.6836049856184084} |
| 0.0           | 1021.0 | 14294 | 1.9492          | {'f1': 0.7556142668428004} | {'accuracy': 0.6452540747842761} |
| 0.0           | 1022.0 | 14308 | 2.3518          | {'f1': 0.7978142076502732} | {'accuracy': 0.6807286673058485} |
| 0.0           | 1023.0 | 14322 | 2.2332          | {'f1': 0.7763496143958868} | {'accuracy': 0.6663470757430489} |
| 0.0           | 1024.0 | 14336 | 2.1797          | {'f1': 0.7985392574558734} | {'accuracy': 0.6826462128475551} |
| 0.0           | 1025.0 | 14350 | 2.1612          | {'f1': 0.7752442996742671} | {'accuracy': 0.6692233940556088} |
| 0.0           | 1026.0 | 14364 | 2.7084          | {'f1': 0.7652519893899205} | {'accuracy': 0.660594439117929}  |
| 0.0           | 1027.0 | 14378 | 2.8867          | {'f1': 0.7680105750165234} | {'accuracy': 0.663470757430489}  |
| 0.0           | 1028.0 | 14392 | 2.9155          | {'f1': 0.7782805429864253} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1029.0 | 14406 | 2.9448          | {'f1': 0.7794212218649518} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1030.0 | 14420 | 2.9796          | {'f1': 0.7807692307692307} | {'accuracy': 0.6720997123681688} |
| 0.0           | 1031.0 | 14434 | 3.0102          | {'f1': 0.7815502882767456} | {'accuracy': 0.673058485139022}  |
| 0.0           | 1032.0 | 14448 | 3.0377          | {'f1': 0.781829814459373}  | {'accuracy': 0.673058485139022}  |
| 0.0           | 1033.0 | 14462 | 3.0650          | {'f1': 0.781829814459373}  | {'accuracy': 0.673058485139022}  |
| 0.0           | 1034.0 | 14476 | 3.0903          | {'f1': 0.781829814459373}  | {'accuracy': 0.673058485139022}  |
| 0.0           | 1035.0 | 14490 | 3.1137          | {'f1': 0.781829814459373}  | {'accuracy': 0.673058485139022}  |
| 0.0167        | 1036.0 | 14504 | 3.4050          | {'f1': 0.7472826086956522} | {'accuracy': 0.6433365292425696} |
| 0.0167        | 1037.0 | 14518 | 3.1138          | {'f1': 0.7166309778729478} | {'accuracy': 0.6193672099712368} |
| 0.0167        | 1038.0 | 14532 | 2.4093          | {'f1': 0.7995139732685298} | {'accuracy': 0.6836049856184084} |
| 0.0167        | 1039.0 | 14546 | 2.3437          | {'f1': 0.7814313346228239} | {'accuracy': 0.6749760306807286} |
| 0.0167        | 1040.0 | 14560 | 2.5311          | {'f1': 0.7717462393721386} | {'accuracy': 0.6653883029721956} |
| 0.0167        | 1041.0 | 14574 | 2.6587          | {'f1': 0.7721602101116217} | {'accuracy': 0.6673058485139022} |
| 0.0167        | 1042.0 | 14588 | 2.7441          | {'f1': 0.7709424083769634} | {'accuracy': 0.6644295302013423} |
| 0.0167        | 1043.0 | 14602 | 2.8051          | {'f1': 0.7728459530026108} | {'accuracy': 0.6663470757430489} |
| 0.0167        | 1044.0 | 14616 | 2.7713          | {'f1': 0.7881462799495587} | {'accuracy': 0.6778523489932886} |
| 0.0167        | 1045.0 | 14630 | 2.8132          | {'f1': 0.7867001254705145} | {'accuracy': 0.6740172579098753} |
| 0.0167        | 1046.0 | 14644 | 2.8768          | {'f1': 0.7868852459016392} | {'accuracy': 0.675934803451582}  |
| 0.0167        | 1047.0 | 14658 | 2.6082          | {'f1': 0.8057726999398676} | {'accuracy': 0.6903163950143816} |
| 0.0167        | 1048.0 | 14672 | 2.6251          | {'f1': 0.7875389408099689} | {'accuracy': 0.673058485139022}  |
| 0.0167        | 1049.0 | 14686 | 2.6894          | {'f1': 0.7780612244897959} | {'accuracy': 0.6663470757430489} |
| 0.0167        | 1050.0 | 14700 | 2.7584          | {'f1': 0.7777777777777779} | {'accuracy': 0.6663470757430489} |
| 0.0167        | 1051.0 | 14714 | 2.8235          | {'f1': 0.7770700636942676} | {'accuracy': 0.6644295302013423} |
| 0.0167        | 1052.0 | 14728 | 2.8774          | {'f1': 0.7765754296626353} | {'accuracy': 0.663470757430489}  |
| 0.0167        | 1053.0 | 14742 | 2.7748          | {'f1': 0.8137769994162288} | {'accuracy': 0.6941514860977949} |
| 0.0167        | 1054.0 | 14756 | 1.1403          | {'f1': 0.7961046865489958} | {'accuracy': 0.6788111217641419} |
| 0.0167        | 1055.0 | 14770 | 2.4600          | {'f1': 0.7783439490445861} | {'accuracy': 0.6663470757430489} |
| 0.0167        | 1056.0 | 14784 | 2.8598          | {'f1': 0.7721110393802453} | {'accuracy': 0.6615532118887824} |
| 0.0167        | 1057.0 | 14798 | 2.8849          | {'f1': 0.7885926844389336} | {'accuracy': 0.673058485139022}  |
| 0.0167        | 1058.0 | 14812 | 2.7417          | {'f1': 0.8114558472553699} | {'accuracy': 0.6970278044103547} |
| 0.0167        | 1059.0 | 14826 | 2.4093          | {'f1': 0.7556468172484601} | {'accuracy': 0.6577181208053692} |
| 0.0167        | 1060.0 | 14840 | 2.1768          | {'f1': 0.7958050586057989} | {'accuracy': 0.6826462128475551} |
| 0.0167        | 1061.0 | 14854 | 2.4685          | {'f1': 0.767716535433071}  | {'accuracy': 0.660594439117929}  |
| 0.0167        | 1062.0 | 14868 | 2.6030          | {'f1': 0.761386811692726}  | {'accuracy': 0.663470757430489}  |
| 0.0167        | 1063.0 | 14882 | 2.5778          | {'f1': 0.7785577536694321} | {'accuracy': 0.6673058485139022} |
| 0.0167        | 1064.0 | 14896 | 2.5693          | {'f1': 0.8026315789473685} | {'accuracy': 0.6836049856184084} |
| 0.0167        | 1065.0 | 14910 | 2.6241          | {'f1': 0.8047619047619048} | {'accuracy': 0.6855225311601151} |
| 0.0167        | 1066.0 | 14924 | 2.6717          | {'f1': 0.8042831647828674} | {'accuracy': 0.6845637583892618} |
| 0.0167        | 1067.0 | 14938 | 2.7145          | {'f1': 0.8042831647828674} | {'accuracy': 0.6845637583892618} |
| 0.0167        | 1068.0 | 14952 | 2.7507          | {'f1': 0.8042831647828674} | {'accuracy': 0.6845637583892618} |
| 0.0167        | 1069.0 | 14966 | 2.7555          | {'f1': 0.7968176254589964} | {'accuracy': 0.6816874400767018} |
| 0.0167        | 1070.0 | 14980 | 2.7887          | {'f1': 0.7855329949238578} | {'accuracy': 0.675934803451582}  |
| 0.0167        | 1071.0 | 14994 | 2.8368          | {'f1': 0.7807692307692307} | {'accuracy': 0.6720997123681688} |
| 0.0154        | 1072.0 | 15008 | 2.8665          | {'f1': 0.7797045600513809} | {'accuracy': 0.6711409395973155} |
| 0.0154        | 1073.0 | 15022 | 2.8923          | {'f1': 0.7802056555269922} | {'accuracy': 0.6720997123681688} |
| 0.0154        | 1074.0 | 15036 | 2.9155          | {'f1': 0.7804878048780487} | {'accuracy': 0.6720997123681688} |
| 0.0154        | 1075.0 | 15050 | 2.9378          | {'f1': 0.7823303457106274} | {'accuracy': 0.6740172579098753} |
| 0.0154        | 1076.0 | 15064 | 2.9602          | {'f1': 0.7823303457106274} | {'accuracy': 0.6740172579098753} |
| 0.0154        | 1077.0 | 15078 | 2.9823          | {'f1': 0.7836630504148053} | {'accuracy': 0.6749760306807286} |
| 0.0154        | 1078.0 | 15092 | 2.9996          | {'f1': 0.7847619047619048} | {'accuracy': 0.6749760306807286} |
| 0.0154        | 1079.0 | 15106 | 3.0179          | {'f1': 0.7850348763474951} | {'accuracy': 0.6749760306807286} |
| 0.0154        | 1080.0 | 15120 | 3.0357          | {'f1': 0.7850348763474951} | {'accuracy': 0.6749760306807286} |
| 0.0154        | 1081.0 | 15134 | 3.0158          | {'f1': 0.8077601410934744} | {'accuracy': 0.6864813039309684} |
| 0.0154        | 1082.0 | 15148 | 2.8366          | {'f1': 0.7824427480916031} | {'accuracy': 0.6720997123681688} |
| 0.0154        | 1083.0 | 15162 | 3.0377          | {'f1': 0.7877269881026925} | {'accuracy': 0.6749760306807286} |
| 0.0154        | 1084.0 | 15176 | 3.1088          | {'f1': 0.7908131595282433} | {'accuracy': 0.6768935762224353} |
| 0.0154        | 1085.0 | 15190 | 3.0995          | {'f1': 0.7980535279805352} | {'accuracy': 0.6816874400767018} |
| 0.0154        | 1086.0 | 15204 | 3.1034          | {'f1': 0.7676902536715622} | {'accuracy': 0.6663470757430489} |
| 0.0154        | 1087.0 | 15218 | 3.1637          | {'f1': 0.7656988521269413} | {'accuracy': 0.6673058485139022} |
| 0.0154        | 1088.0 | 15232 | 3.0898          | {'f1': 0.7733507511430437} | {'accuracy': 0.6673058485139022} |
| 0.0154        | 1089.0 | 15246 | 3.1123          | {'f1': 0.7744845360824743} | {'accuracy': 0.6644295302013423} |
| 0.0154        | 1090.0 | 15260 | 3.1337          | {'f1': 0.7754838709677417} | {'accuracy': 0.6663470757430489} |
| 0.0154        | 1091.0 | 15274 | 3.1935          | {'f1': 0.7691292875989446} | {'accuracy': 0.6644295302013423} |
| 0.0154        | 1092.0 | 15288 | 3.2511          | {'f1': 0.7675962815405046} | {'accuracy': 0.6644295302013423} |
| 0.0154        | 1093.0 | 15302 | 3.2680          | {'f1': 0.7675962815405046} | {'accuracy': 0.6644295302013423} |
| 0.0154        | 1094.0 | 15316 | 3.6435          | {'f1': 0.717201166180758}  | {'accuracy': 0.6279961649089166} |
| 0.0154        | 1095.0 | 15330 | 3.2464          | {'f1': 0.7752956636005256} | {'accuracy': 0.6720997123681688} |
| 0.0154        | 1096.0 | 15344 | 3.0848          | {'f1': 0.8125741399762753} | {'accuracy': 0.6970278044103547} |
| 0.0154        | 1097.0 | 15358 | 3.1420          | {'f1': 0.776255707762557}  | {'accuracy': 0.6711409395973155} |
| 0.0154        | 1098.0 | 15372 | 3.3021          | {'f1': 0.7532467532467532} | {'accuracy': 0.6538830297219559} |
| 0.0154        | 1099.0 | 15386 | 3.3622          | {'f1': 0.7427385892116183} | {'accuracy': 0.6433365292425696} |
| 0.0154        | 1100.0 | 15400 | 2.9867          | {'f1': 0.8004987531172071} | {'accuracy': 0.6931927133269415} |
| 0.0154        | 1101.0 | 15414 | 3.0011          | {'f1': 0.8019619865113428} | {'accuracy': 0.6903163950143816} |
| 0.0154        | 1102.0 | 15428 | 3.0191          | {'f1': 0.802679658952497}  | {'accuracy': 0.6893576222435283} |
| 0.0154        | 1103.0 | 15442 | 3.0359          | {'f1': 0.8034083992696287} | {'accuracy': 0.6903163950143816} |
| 0.0154        | 1104.0 | 15456 | 3.0507          | {'f1': 0.8034083992696287} | {'accuracy': 0.6903163950143816} |
| 0.0154        | 1105.0 | 15470 | 3.0648          | {'f1': 0.8034083992696287} | {'accuracy': 0.6903163950143816} |
| 0.0154        | 1106.0 | 15484 | 3.0784          | {'f1': 0.8034083992696287} | {'accuracy': 0.6903163950143816} |
| 0.0154        | 1107.0 | 15498 | 3.0911          | {'f1': 0.8034083992696287} | {'accuracy': 0.6903163950143816} |
| 0.0052        | 1108.0 | 15512 | 3.1015          | {'f1': 0.8034083992696287} | {'accuracy': 0.6903163950143816} |
| 0.0052        | 1109.0 | 15526 | 3.1125          | {'f1': 0.8034083992696287} | {'accuracy': 0.6903163950143816} |
| 0.0052        | 1110.0 | 15540 | 3.1240          | {'f1': 0.8034083992696287} | {'accuracy': 0.6903163950143816} |
| 0.0052        | 1111.0 | 15554 | 3.1350          | {'f1': 0.8034083992696287} | {'accuracy': 0.6903163950143816} |
| 0.0052        | 1112.0 | 15568 | 3.1459          | {'f1': 0.8034083992696287} | {'accuracy': 0.6903163950143816} |
| 0.0052        | 1113.0 | 15582 | 3.1566          | {'f1': 0.8038976857490866} | {'accuracy': 0.6912751677852349} |
| 0.0052        | 1114.0 | 15596 | 3.1675          | {'f1': 0.8038976857490866} | {'accuracy': 0.6912751677852349} |
| 0.0052        | 1115.0 | 15610 | 3.1811          | {'f1': 0.7972379158819838} | {'accuracy': 0.6903163950143816} |
| 0.0052        | 1116.0 | 15624 | 3.2847          | {'f1': 0.7808041504539558} | {'accuracy': 0.675934803451582}  |
| 0.0052        | 1117.0 | 15638 | 3.3090          | {'f1': 0.7785760940561725} | {'accuracy': 0.6749760306807286} |
| 0.0052        | 1118.0 | 15652 | 3.3257          | {'f1': 0.7795945062132114} | {'accuracy': 0.6768935762224353} |
| 0.0052        | 1119.0 | 15666 | 3.3371          | {'f1': 0.7779960707269155} | {'accuracy': 0.6749760306807286} |
| 0.0052        | 1120.0 | 15680 | 3.3471          | {'f1': 0.7787958115183246} | {'accuracy': 0.675934803451582}  |
| 0.0052        | 1121.0 | 15694 | 3.3568          | {'f1': 0.7787958115183246} | {'accuracy': 0.675934803451582}  |
| 0.0052        | 1122.0 | 15708 | 3.3660          | {'f1': 0.7795945062132114} | {'accuracy': 0.6768935762224353} |
| 0.0052        | 1123.0 | 15722 | 3.3747          | {'f1': 0.7790849673202614} | {'accuracy': 0.675934803451582}  |
| 0.0052        | 1124.0 | 15736 | 3.3838          | {'f1': 0.7785760940561725} | {'accuracy': 0.6749760306807286} |
| 0.0052        | 1125.0 | 15750 | 3.3933          | {'f1': 0.7785760940561725} | {'accuracy': 0.6749760306807286} |
| 0.0052        | 1126.0 | 15764 | 3.4023          | {'f1': 0.7785760940561725} | {'accuracy': 0.6749760306807286} |
| 0.0052        | 1127.0 | 15778 | 3.4094          | {'f1': 0.7785760940561725} | {'accuracy': 0.6749760306807286} |
| 0.0052        | 1128.0 | 15792 | 3.4165          | {'f1': 0.7775603392041748} | {'accuracy': 0.673058485139022}  |
| 0.0052        | 1129.0 | 15806 | 3.4238          | {'f1': 0.7775603392041748} | {'accuracy': 0.673058485139022}  |
| 0.0052        | 1130.0 | 15820 | 3.4315          | {'f1': 0.7775603392041748} | {'accuracy': 0.673058485139022}  |
| 0.0052        | 1131.0 | 15834 | 3.4395          | {'f1': 0.7775603392041748} | {'accuracy': 0.673058485139022}  |
| 0.0052        | 1132.0 | 15848 | 3.4478          | {'f1': 0.7786458333333334} | {'accuracy': 0.6740172579098753} |
| 0.0052        | 1133.0 | 15862 | 3.4562          | {'f1': 0.7810266406757634} | {'accuracy': 0.6768935762224353} |
| 0.0052        | 1134.0 | 15876 | 3.4635          | {'f1': 0.7810266406757634} | {'accuracy': 0.6768935762224353} |
| 0.0052        | 1135.0 | 15890 | 3.4705          | {'f1': 0.7810266406757634} | {'accuracy': 0.6768935762224353} |
| 0.0052        | 1136.0 | 15904 | 3.4778          | {'f1': 0.7810266406757634} | {'accuracy': 0.6768935762224353} |
| 0.0052        | 1137.0 | 15918 | 3.4849          | {'f1': 0.7810266406757634} | {'accuracy': 0.6768935762224353} |
| 0.0052        | 1138.0 | 15932 | 3.4917          | {'f1': 0.7818181818181817} | {'accuracy': 0.6778523489932886} |
| 0.0052        | 1139.0 | 15946 | 3.4987          | {'f1': 0.7818181818181817} | {'accuracy': 0.6778523489932886} |
| 0.0052        | 1140.0 | 15960 | 3.5055          | {'f1': 0.7818181818181817} | {'accuracy': 0.6778523489932886} |
| 0.0052        | 1141.0 | 15974 | 3.4433          | {'f1': 0.8019619865113428} | {'accuracy': 0.6903163950143816} |
| 0.0052        | 1142.0 | 15988 | 3.0811          | {'f1': 0.802721088435374}  | {'accuracy': 0.6941514860977949} |
| 0.0012        | 1143.0 | 16002 | 2.7264          | {'f1': 0.7941919191919192} | {'accuracy': 0.6874400767018217} |
| 0.0012        | 1144.0 | 16016 | 2.7095          | {'f1': 0.7918781725888324} | {'accuracy': 0.6855225311601151} |
| 0.0012        | 1145.0 | 16030 | 2.7717          | {'f1': 0.7913760304375396} | {'accuracy': 0.6845637583892618} |
| 0.0012        | 1146.0 | 16044 | 2.8087          | {'f1': 0.8036697247706422} | {'accuracy': 0.6922339405560882} |
| 0.0012        | 1147.0 | 16058 | 2.8838          | {'f1': 0.7903736542115264} | {'accuracy': 0.6826462128475551} |
| 0.0012        | 1148.0 | 16072 | 3.1046          | {'f1': 0.7639710716633793} | {'accuracy': 0.6558005752636625} |
| 0.0012        | 1149.0 | 16086 | 3.2589          | {'f1': 0.760898282694848}  | {'accuracy': 0.6529242569511026} |
| 0.0012        | 1150.0 | 16100 | 3.2118          | {'f1': 0.7782747603833866} | {'accuracy': 0.6673058485139022} |
| 0.0012        | 1151.0 | 16114 | 3.0288          | {'f1': 0.8100059559261464} | {'accuracy': 0.6941514860977949} |
| 0.0012        | 1152.0 | 16128 | 3.0009          | {'f1': 0.7724935732647815} | {'accuracy': 0.660594439117929}  |
| 0.0012        | 1153.0 | 16142 | 2.8786          | {'f1': 0.7842639593908628} | {'accuracy': 0.6740172579098753} |
| 0.0012        | 1154.0 | 16156 | 2.8693          | {'f1': 0.7949843260188089} | {'accuracy': 0.6864813039309684} |
| 0.0012        | 1155.0 | 16170 | 2.9127          | {'f1': 0.7987538940809968} | {'accuracy': 0.6903163950143816} |
| 0.0012        | 1156.0 | 16184 | 2.9624          | {'f1': 0.7987538940809968} | {'accuracy': 0.6903163950143816} |
| 0.0012        | 1157.0 | 16198 | 3.0066          | {'f1': 0.7995018679950187} | {'accuracy': 0.6912751677852349} |
| 0.0012        | 1158.0 | 16212 | 3.0440          | {'f1': 0.7995018679950187} | {'accuracy': 0.6912751677852349} |
| 0.0012        | 1159.0 | 16226 | 3.0777          | {'f1': 0.7995018679950187} | {'accuracy': 0.6912751677852349} |
| 0.0012        | 1160.0 | 16240 | 3.1088          | {'f1': 0.7995018679950187} | {'accuracy': 0.6912751677852349} |
| 0.0012        | 1161.0 | 16254 | 3.1385          | {'f1': 0.7995018679950187} | {'accuracy': 0.6912751677852349} |
| 0.0012        | 1162.0 | 16268 | 3.1673          | {'f1': 0.7995018679950187} | {'accuracy': 0.6912751677852349} |
| 0.0012        | 1163.0 | 16282 | 3.1946          | {'f1': 0.7995018679950187} | {'accuracy': 0.6912751677852349} |
| 0.0012        | 1164.0 | 16296 | 3.2186          | {'f1': 0.7995018679950187} | {'accuracy': 0.6912751677852349} |
| 0.0012        | 1165.0 | 16310 | 3.2397          | {'f1': 0.7995018679950187} | {'accuracy': 0.6912751677852349} |
| 0.0012        | 1166.0 | 16324 | 3.2619          | {'f1': 0.7995018679950187} | {'accuracy': 0.6912751677852349} |
| 0.0012        | 1167.0 | 16338 | 3.2820          | {'f1': 0.7995018679950187} | {'accuracy': 0.6912751677852349} |
| 0.0012        | 1168.0 | 16352 | 3.3020          | {'f1': 0.7995018679950187} | {'accuracy': 0.6912751677852349} |
| 0.0012        | 1169.0 | 16366 | 3.3205          | {'f1': 0.7995018679950187} | {'accuracy': 0.6912751677852349} |
| 0.0012        | 1170.0 | 16380 | 3.3372          | {'f1': 0.7995018679950187} | {'accuracy': 0.6912751677852349} |
| 0.0012        | 1171.0 | 16394 | 3.3555          | {'f1': 0.7995018679950187} | {'accuracy': 0.6912751677852349} |
| 0.0012        | 1172.0 | 16408 | 3.3712          | {'f1': 0.7995018679950187} | {'accuracy': 0.6912751677852349} |
| 0.0012        | 1173.0 | 16422 | 3.3855          | {'f1': 0.7995018679950187} | {'accuracy': 0.6912751677852349} |
| 0.0012        | 1174.0 | 16436 | 3.3997          | {'f1': 0.7995018679950187} | {'accuracy': 0.6912751677852349} |
| 0.0012        | 1175.0 | 16450 | 3.4134          | {'f1': 0.7995018679950187} | {'accuracy': 0.6912751677852349} |
| 0.0012        | 1176.0 | 16464 | 3.4270          | {'f1': 0.7995018679950187} | {'accuracy': 0.6912751677852349} |
| 0.0012        | 1177.0 | 16478 | 3.3978          | {'f1': 0.7962616822429905} | {'accuracy': 0.6864813039309684} |
| 0.0012        | 1178.0 | 16492 | 3.7057          | {'f1': 0.7459239130434783} | {'accuracy': 0.6414189837008629} |
| 0.0032        | 1179.0 | 16506 | 3.4214          | {'f1': 0.8033980582524272} | {'accuracy': 0.6893576222435283} |
| 0.0032        | 1180.0 | 16520 | 2.9650          | {'f1': 0.7377838953888507} | {'accuracy': 0.6347075743048898} |
| 0.0032        | 1181.0 | 16534 | 2.5485          | {'f1': 0.7741100323624596} | {'accuracy': 0.6653883029721956} |
| 0.0032        | 1182.0 | 16548 | 2.5784          | {'f1': 0.7854869509866327} | {'accuracy': 0.6768935762224353} |
| 0.0032        | 1183.0 | 16562 | 2.7775          | {'f1': 0.7671052631578946} | {'accuracy': 0.660594439117929}  |
| 0.0032        | 1184.0 | 16576 | 3.1592          | {'f1': 0.7337526205450735} | {'accuracy': 0.6347075743048898} |
| 0.0032        | 1185.0 | 16590 | 3.1079          | {'f1': 0.7562913907284768} | {'accuracy': 0.6471716203259827} |
| 0.0032        | 1186.0 | 16604 | 3.0589          | {'f1': 0.780891719745223}  | {'accuracy': 0.6701821668264621} |
| 0.0032        | 1187.0 | 16618 | 3.1089          | {'f1': 0.7836477987421383} | {'accuracy': 0.6701821668264621} |
| 0.0032        | 1188.0 | 16632 | 3.1478          | {'f1': 0.785175879396985}  | {'accuracy': 0.6720997123681688} |
| 0.0032        | 1189.0 | 16646 | 3.1784          | {'f1': 0.785175879396985}  | {'accuracy': 0.6720997123681688} |
| 0.0032        | 1190.0 | 16660 | 3.2059          | {'f1': 0.785175879396985}  | {'accuracy': 0.6720997123681688} |
| 0.0032        | 1191.0 | 16674 | 3.2315          | {'f1': 0.785175879396985}  | {'accuracy': 0.6720997123681688} |
| 0.0032        | 1192.0 | 16688 | 3.2551          | {'f1': 0.785175879396985}  | {'accuracy': 0.6720997123681688} |
| 0.0032        | 1193.0 | 16702 | 3.2770          | {'f1': 0.785175879396985}  | {'accuracy': 0.6720997123681688} |
| 0.0032        | 1194.0 | 16716 | 3.2992          | {'f1': 0.785175879396985}  | {'accuracy': 0.6720997123681688} |
| 0.0032        | 1195.0 | 16730 | 3.3209          | {'f1': 0.785175879396985}  | {'accuracy': 0.6720997123681688} |
| 0.0032        | 1196.0 | 16744 | 3.3408          | {'f1': 0.7859384808537351} | {'accuracy': 0.673058485139022}  |
| 0.0032        | 1197.0 | 16758 | 3.3604          | {'f1': 0.7854454203262233} | {'accuracy': 0.6720997123681688} |
| 0.0032        | 1198.0 | 16772 | 3.3783          | {'f1': 0.7854454203262233} | {'accuracy': 0.6720997123681688} |
| 0.0032        | 1199.0 | 16786 | 3.3961          | {'f1': 0.7854454203262233} | {'accuracy': 0.6720997123681688} |
| 0.0032        | 1200.0 | 16800 | 3.5864          | {'f1': 0.7473404255319149} | {'accuracy': 0.6356663470757431} |
| 0.0032        | 1201.0 | 16814 | 3.8514          | {'f1': 0.7052023121387283} | {'accuracy': 0.6088207094918504} |
| 0.0032        | 1202.0 | 16828 | 3.4735          | {'f1': 0.7506631299734748} | {'accuracy': 0.6395014381591563} |
| 0.0032        | 1203.0 | 16842 | 3.4055          | {'f1': 0.766859344894027}  | {'accuracy': 0.6519654841802492} |
| 0.0032        | 1204.0 | 16856 | 3.4097          | {'f1': 0.7683471601786854} | {'accuracy': 0.6519654841802492} |
| 0.0032        | 1205.0 | 16870 | 3.4270          | {'f1': 0.7694267515923567} | {'accuracy': 0.6529242569511026} |
| 0.0032        | 1206.0 | 16884 | 3.4485          | {'f1': 0.7709923664122136} | {'accuracy': 0.6548418024928092} |
| 0.0032        | 1207.0 | 16898 | 3.4700          | {'f1': 0.7709923664122136} | {'accuracy': 0.6548418024928092} |
| 0.0032        | 1208.0 | 16912 | 3.4908          | {'f1': 0.7709923664122136} | {'accuracy': 0.6548418024928092} |
| 0.0032        | 1209.0 | 16926 | 3.5106          | {'f1': 0.7709923664122136} | {'accuracy': 0.6548418024928092} |
| 0.0032        | 1210.0 | 16940 | 3.5219          | {'f1': 0.7705022250476795} | {'accuracy': 0.6538830297219559} |
| 0.0032        | 1211.0 | 16954 | 3.5378          | {'f1': 0.772063492063492}  | {'accuracy': 0.6558005752636625} |
| 0.0032        | 1212.0 | 16968 | 3.5545          | {'f1': 0.772063492063492}  | {'accuracy': 0.6558005752636625} |
| 0.0032        | 1213.0 | 16982 | 3.5700          | {'f1': 0.7715736040609137} | {'accuracy': 0.6548418024928092} |
| 0.0032        | 1214.0 | 16996 | 3.5853          | {'f1': 0.7715736040609137} | {'accuracy': 0.6548418024928092} |
| 0.0049        | 1215.0 | 17010 | 3.6058          | {'f1': 0.7705022250476795} | {'accuracy': 0.6538830297219559} |
| 0.0049        | 1216.0 | 17024 | 3.6260          | {'f1': 0.7705022250476795} | {'accuracy': 0.6538830297219559} |
| 0.0049        | 1217.0 | 17038 | 3.7705          | {'f1': 0.7516600265604249} | {'accuracy': 0.6414189837008629} |
| 0.0049        | 1218.0 | 17052 | 3.6404          | {'f1': 0.7581179589131875} | {'accuracy': 0.6500479386385427} |
| 0.0049        | 1219.0 | 17066 | 2.6171          | {'f1': 0.7861128332300062} | {'accuracy': 0.6692233940556088} |
| 0.0049        | 1220.0 | 17080 | 2.8400          | {'f1': 0.8021518230723251} | {'accuracy': 0.6826462128475551} |
| 0.0049        | 1221.0 | 17094 | 2.1645          | {'f1': 0.7882573391630231} | {'accuracy': 0.6749760306807286} |
| 0.0049        | 1222.0 | 17108 | 2.2988          | {'f1': 0.7709279688513953} | {'accuracy': 0.6615532118887824} |
| 0.0049        | 1223.0 | 17122 | 2.5787          | {'f1': 0.7665140614780902} | {'accuracy': 0.6577181208053692} |
| 0.0049        | 1224.0 | 17136 | 2.7026          | {'f1': 0.7707253886010362} | {'accuracy': 0.660594439117929}  |
| 0.0049        | 1225.0 | 17150 | 2.7352          | {'f1': 0.7992678462477121} | {'accuracy': 0.6845637583892618} |
| 0.0049        | 1226.0 | 17164 | 2.8111          | {'f1': 0.8038740920096852} | {'accuracy': 0.6893576222435283} |
| 0.0049        | 1227.0 | 17178 | 2.8678          | {'f1': 0.8031496062992126} | {'accuracy': 0.6883988494726749} |
| 0.0049        | 1228.0 | 17192 | 2.9156          | {'f1': 0.8021844660194175} | {'accuracy': 0.6874400767018217} |
| 0.0049        | 1229.0 | 17206 | 2.9552          | {'f1': 0.8021844660194175} | {'accuracy': 0.6874400767018217} |
| 0.0049        | 1230.0 | 17220 | 2.9913          | {'f1': 0.8026715239829995} | {'accuracy': 0.6883988494726749} |
| 0.0049        | 1231.0 | 17234 | 3.0240          | {'f1': 0.8026715239829995} | {'accuracy': 0.6883988494726749} |
| 0.0049        | 1232.0 | 17248 | 3.0544          | {'f1': 0.8026715239829995} | {'accuracy': 0.6883988494726749} |
| 0.0049        | 1233.0 | 17262 | 3.0811          | {'f1': 0.8019441069258809} | {'accuracy': 0.6874400767018217} |
| 0.0049        | 1234.0 | 17276 | 3.1058          | {'f1': 0.8019441069258809} | {'accuracy': 0.6874400767018217} |
| 0.0049        | 1235.0 | 17290 | 2.5715          | {'f1': 0.7902621722846442} | {'accuracy': 0.6778523489932886} |
| 0.0049        | 1236.0 | 17304 | 2.3142          | {'f1': 0.7876106194690266} | {'accuracy': 0.6778523489932886} |
| 0.0049        | 1237.0 | 17318 | 2.4149          | {'f1': 0.7878404053198227} | {'accuracy': 0.6788111217641419} |
| 0.0049        | 1238.0 | 17332 | 2.5482          | {'f1': 0.7873417721518988} | {'accuracy': 0.6778523489932886} |
| 0.0049        | 1239.0 | 17346 | 2.6548          | {'f1': 0.7873417721518988} | {'accuracy': 0.6778523489932886} |
| 0.0049        | 1240.0 | 17360 | 2.7381          | {'f1': 0.7873417721518988} | {'accuracy': 0.6778523489932886} |
| 0.0049        | 1241.0 | 17374 | 2.8019          | {'f1': 0.7881087919038583} | {'accuracy': 0.6788111217641419} |
| 0.0049        | 1242.0 | 17388 | 2.8525          | {'f1': 0.7876106194690266} | {'accuracy': 0.6778523489932886} |
| 0.0049        | 1243.0 | 17402 | 2.8957          | {'f1': 0.7876106194690266} | {'accuracy': 0.6778523489932886} |
| 0.0049        | 1244.0 | 17416 | 2.9327          | {'f1': 0.7876106194690266} | {'accuracy': 0.6778523489932886} |
| 0.0049        | 1245.0 | 17430 | 2.9669          | {'f1': 0.7876106194690266} | {'accuracy': 0.6778523489932886} |
| 0.0049        | 1246.0 | 17444 | 2.9971          | {'f1': 0.7876106194690266} | {'accuracy': 0.6778523489932886} |
| 0.0049        | 1247.0 | 17458 | 3.0265          | {'f1': 0.7876106194690266} | {'accuracy': 0.6778523489932886} |
| 0.0049        | 1248.0 | 17472 | 3.0528          | {'f1': 0.7876106194690266} | {'accuracy': 0.6778523489932886} |
| 0.0049        | 1249.0 | 17486 | 3.0905          | {'f1': 0.7886792452830189} | {'accuracy': 0.6778523489932886} |
| 0.0047        | 1250.0 | 17500 | 3.1115          | {'f1': 0.7907268170426067} | {'accuracy': 0.6797698945349953} |
| 0.0047        | 1251.0 | 17514 | 3.1325          | {'f1': 0.7914840325610519} | {'accuracy': 0.6807286673058485} |
| 0.0047        | 1252.0 | 17528 | 3.1528          | {'f1': 0.7909887359199}    | {'accuracy': 0.6797698945349953} |
| 0.0047        | 1253.0 | 17542 | 3.1710          | {'f1': 0.7909887359199}    | {'accuracy': 0.6797698945349953} |
| 0.0047        | 1254.0 | 17556 | 3.1886          | {'f1': 0.7909887359199}    | {'accuracy': 0.6797698945349953} |
| 0.0047        | 1255.0 | 17570 | 3.2058          | {'f1': 0.7909887359199}    | {'accuracy': 0.6797698945349953} |
| 0.0047        | 1256.0 | 17584 | 3.2223          | {'f1': 0.7909887359199}    | {'accuracy': 0.6797698945349953} |
| 0.0047        | 1257.0 | 17598 | 3.2381          | {'f1': 0.7909887359199}    | {'accuracy': 0.6797698945349953} |
| 0.0047        | 1258.0 | 17612 | 3.2530          | {'f1': 0.7909887359199}    | {'accuracy': 0.6797698945349953} |
| 0.0047        | 1259.0 | 17626 | 3.2674          | {'f1': 0.7909887359199}    | {'accuracy': 0.6797698945349953} |
| 0.0047        | 1260.0 | 17640 | 3.3390          | {'f1': 0.7832167832167832} | {'accuracy': 0.673058485139022}  |
| 0.0047        | 1261.0 | 17654 | 3.3947          | {'f1': 0.7784200385356455} | {'accuracy': 0.6692233940556088} |
| 0.0047        | 1262.0 | 17668 | 3.4152          | {'f1': 0.776485788113695}  | {'accuracy': 0.6682646212847555} |
| 0.0047        | 1263.0 | 17682 | 3.4292          | {'f1': 0.7756948933419522} | {'accuracy': 0.6673058485139022} |
| 0.0047        | 1264.0 | 17696 | 3.4420          | {'f1': 0.7756948933419522} | {'accuracy': 0.6673058485139022} |
| 0.0047        | 1265.0 | 17710 | 3.4538          | {'f1': 0.7756948933419522} | {'accuracy': 0.6673058485139022} |
| 0.0047        | 1266.0 | 17724 | 3.4654          | {'f1': 0.7756948933419522} | {'accuracy': 0.6673058485139022} |
| 0.0047        | 1267.0 | 17738 | 3.4768          | {'f1': 0.7756948933419522} | {'accuracy': 0.6673058485139022} |
| 0.0047        | 1268.0 | 17752 | 3.4878          | {'f1': 0.7756948933419522} | {'accuracy': 0.6673058485139022} |
| 0.0047        | 1269.0 | 17766 | 3.4984          | {'f1': 0.7756948933419522} | {'accuracy': 0.6673058485139022} |
| 0.0047        | 1270.0 | 17780 | 3.5087          | {'f1': 0.7756948933419522} | {'accuracy': 0.6673058485139022} |
| 0.0047        | 1271.0 | 17794 | 3.5184          | {'f1': 0.7756948933419522} | {'accuracy': 0.6673058485139022} |
| 0.0047        | 1272.0 | 17808 | 3.5281          | {'f1': 0.7756948933419522} | {'accuracy': 0.6673058485139022} |
| 0.0047        | 1273.0 | 17822 | 3.5380          | {'f1': 0.7756948933419522} | {'accuracy': 0.6673058485139022} |
| 0.0047        | 1274.0 | 17836 | 3.5480          | {'f1': 0.776485788113695}  | {'accuracy': 0.6682646212847555} |
| 0.0047        | 1275.0 | 17850 | 3.5578          | {'f1': 0.776485788113695}  | {'accuracy': 0.6682646212847555} |
| 0.0047        | 1276.0 | 17864 | 3.5669          | {'f1': 0.776485788113695}  | {'accuracy': 0.6682646212847555} |
| 0.0047        | 1277.0 | 17878 | 3.5757          | {'f1': 0.776485788113695}  | {'accuracy': 0.6682646212847555} |
| 0.0047        | 1278.0 | 17892 | 3.5842          | {'f1': 0.776485788113695}  | {'accuracy': 0.6682646212847555} |
| 0.0047        | 1279.0 | 17906 | 3.5928          | {'f1': 0.776485788113695}  | {'accuracy': 0.6682646212847555} |
| 0.0047        | 1280.0 | 17920 | 3.6013          | {'f1': 0.776485788113695}  | {'accuracy': 0.6682646212847555} |
| 0.0047        | 1281.0 | 17934 | 3.6096          | {'f1': 0.776485788113695}  | {'accuracy': 0.6682646212847555} |
| 0.0047        | 1282.0 | 17948 | 3.6177          | {'f1': 0.776485788113695}  | {'accuracy': 0.6682646212847555} |
| 0.0047        | 1283.0 | 17962 | 3.6258          | {'f1': 0.776485788113695}  | {'accuracy': 0.6682646212847555} |
| 0.0047        | 1284.0 | 17976 | 3.6337          | {'f1': 0.7772756617172369} | {'accuracy': 0.6692233940556088} |
| 0.0047        | 1285.0 | 17990 | 3.6412          | {'f1': 0.7772756617172369} | {'accuracy': 0.6692233940556088} |
| 0.0           | 1286.0 | 18004 | 3.6488          | {'f1': 0.7772756617172369} | {'accuracy': 0.6692233940556088} |
| 0.0           | 1287.0 | 18018 | 3.6566          | {'f1': 0.7772756617172369} | {'accuracy': 0.6692233940556088} |
| 0.0           | 1288.0 | 18032 | 3.6640          | {'f1': 0.7772756617172369} | {'accuracy': 0.6692233940556088} |
| 0.0           | 1289.0 | 18046 | 3.6713          | {'f1': 0.7772756617172369} | {'accuracy': 0.6692233940556088} |
| 0.0           | 1290.0 | 18060 | 3.6787          | {'f1': 0.7772756617172369} | {'accuracy': 0.6692233940556088} |
| 0.0           | 1291.0 | 18074 | 3.6855          | {'f1': 0.7772756617172369} | {'accuracy': 0.6692233940556088} |
| 0.0           | 1292.0 | 18088 | 3.6923          | {'f1': 0.7772756617172369} | {'accuracy': 0.6692233940556088} |
| 0.0           | 1293.0 | 18102 | 3.6989          | {'f1': 0.7772756617172369} | {'accuracy': 0.6692233940556088} |
| 0.0           | 1294.0 | 18116 | 3.7056          | {'f1': 0.7772756617172369} | {'accuracy': 0.6692233940556088} |
| 0.0           | 1295.0 | 18130 | 3.7126          | {'f1': 0.7772756617172369} | {'accuracy': 0.6692233940556088} |
| 0.0           | 1296.0 | 18144 | 3.7192          | {'f1': 0.7772756617172369} | {'accuracy': 0.6692233940556088} |
| 0.0           | 1297.0 | 18158 | 3.7256          | {'f1': 0.7772756617172369} | {'accuracy': 0.6692233940556088} |
| 0.0           | 1298.0 | 18172 | 3.7321          | {'f1': 0.7772756617172369} | {'accuracy': 0.6692233940556088} |
| 0.0           | 1299.0 | 18186 | 3.7386          | {'f1': 0.7772756617172369} | {'accuracy': 0.6692233940556088} |
| 0.0           | 1300.0 | 18200 | 3.7450          | {'f1': 0.7772756617172369} | {'accuracy': 0.6692233940556088} |
| 0.0           | 1301.0 | 18214 | 3.7513          | {'f1': 0.7772756617172369} | {'accuracy': 0.6692233940556088} |
| 0.0           | 1302.0 | 18228 | 3.7571          | {'f1': 0.7772756617172369} | {'accuracy': 0.6692233940556088} |
| 0.0           | 1303.0 | 18242 | 3.7632          | {'f1': 0.7772756617172369} | {'accuracy': 0.6692233940556088} |
| 0.0           | 1304.0 | 18256 | 3.7690          | {'f1': 0.7772756617172369} | {'accuracy': 0.6692233940556088} |
| 0.0           | 1305.0 | 18270 | 3.7748          | {'f1': 0.7772756617172369} | {'accuracy': 0.6692233940556088} |
| 0.0           | 1306.0 | 18284 | 3.7805          | {'f1': 0.7772756617172369} | {'accuracy': 0.6692233940556088} |
| 0.0           | 1307.0 | 18298 | 3.7864          | {'f1': 0.7772756617172369} | {'accuracy': 0.6692233940556088} |
| 0.0           | 1308.0 | 18312 | 3.7921          | {'f1': 0.7772756617172369} | {'accuracy': 0.6692233940556088} |
| 0.0           | 1309.0 | 18326 | 3.7978          | {'f1': 0.7780645161290323} | {'accuracy': 0.6701821668264621} |
| 0.0           | 1310.0 | 18340 | 3.8036          | {'f1': 0.7780645161290323} | {'accuracy': 0.6701821668264621} |
| 0.0           | 1311.0 | 18354 | 3.8093          | {'f1': 0.7780645161290323} | {'accuracy': 0.6701821668264621} |
| 0.0           | 1312.0 | 18368 | 3.8147          | {'f1': 0.7780645161290323} | {'accuracy': 0.6701821668264621} |
| 0.0           | 1313.0 | 18382 | 3.8354          | {'f1': 0.7749029754204397} | {'accuracy': 0.6663470757430489} |
| 0.0           | 1314.0 | 18396 | 3.8456          | {'f1': 0.7733160621761659} | {'accuracy': 0.6644295302013423} |
| 0.0           | 1315.0 | 18410 | 3.8519          | {'f1': 0.7733160621761659} | {'accuracy': 0.6644295302013423} |
| 0.0           | 1316.0 | 18424 | 3.8574          | {'f1': 0.7733160621761659} | {'accuracy': 0.6644295302013423} |
| 0.0           | 1317.0 | 18438 | 3.8627          | {'f1': 0.7733160621761659} | {'accuracy': 0.6644295302013423} |
| 0.0           | 1318.0 | 18452 | 3.7734          | {'f1': 0.7963414634146342} | {'accuracy': 0.6797698945349953} |
| 0.0           | 1319.0 | 18466 | 3.7141          | {'f1': 0.8021647624774503} | {'accuracy': 0.6845637583892618} |
| 0.0           | 1320.0 | 18480 | 3.7227          | {'f1': 0.8043087971274685} | {'accuracy': 0.6864813039309684} |
| 0.0           | 1321.0 | 18494 | 3.5811          | {'f1': 0.7811104020421188} | {'accuracy': 0.6711409395973155} |
| 0.0013        | 1322.0 | 18508 | 3.6267          | {'f1': 0.761904761904762}  | {'accuracy': 0.6548418024928092} |
| 0.0013        | 1323.0 | 18522 | 3.6701          | {'f1': 0.7538358905937291} | {'accuracy': 0.6462128475551294} |
| 0.0013        | 1324.0 | 18536 | 3.6865          | {'f1': 0.7535070140280561} | {'accuracy': 0.6462128475551294} |
| 0.0013        | 1325.0 | 18550 | 3.6982          | {'f1': 0.7526737967914439} | {'accuracy': 0.6452540747842761} |
| 0.0013        | 1326.0 | 18564 | 3.7091          | {'f1': 0.7526737967914439} | {'accuracy': 0.6452540747842761} |
| 0.0013        | 1327.0 | 18578 | 3.7187          | {'f1': 0.7526737967914439} | {'accuracy': 0.6452540747842761} |
| 0.0013        | 1328.0 | 18592 | 3.7277          | {'f1': 0.7535070140280561} | {'accuracy': 0.6462128475551294} |
| 0.0013        | 1329.0 | 18606 | 3.7372          | {'f1': 0.7535070140280561} | {'accuracy': 0.6462128475551294} |
| 0.0013        | 1330.0 | 18620 | 3.7464          | {'f1': 0.7535070140280561} | {'accuracy': 0.6462128475551294} |
| 0.0013        | 1331.0 | 18634 | 3.0204          | {'f1': 0.7880299251870324} | {'accuracy': 0.6740172579098753} |
| 0.0013        | 1332.0 | 18648 | 2.9251          | {'f1': 0.7896039603960396} | {'accuracy': 0.6740172579098753} |
| 0.0013        | 1333.0 | 18662 | 3.0122          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0013        | 1334.0 | 18676 | 3.0985          | {'f1': 0.7834274952919021} | {'accuracy': 0.6692233940556088} |
| 0.0013        | 1335.0 | 18690 | 3.1398          | {'f1': 0.7831552482715274} | {'accuracy': 0.6692233940556088} |
| 0.0013        | 1336.0 | 18704 | 3.1721          | {'f1': 0.7823899371069182} | {'accuracy': 0.6682646212847555} |
| 0.0013        | 1337.0 | 18718 | 3.2008          | {'f1': 0.7828823159219634} | {'accuracy': 0.6692233940556088} |
| 0.0013        | 1338.0 | 18732 | 3.2249          | {'f1': 0.7828823159219634} | {'accuracy': 0.6692233940556088} |
| 0.0013        | 1339.0 | 18746 | 3.2486          | {'f1': 0.7821158690176323} | {'accuracy': 0.6682646212847555} |
| 0.0013        | 1340.0 | 18760 | 3.2721          | {'f1': 0.7821158690176323} | {'accuracy': 0.6682646212847555} |
| 0.0013        | 1341.0 | 18774 | 3.2969          | {'f1': 0.7831552482715274} | {'accuracy': 0.6692233940556088} |
| 0.0013        | 1342.0 | 18788 | 3.3264          | {'f1': 0.7831552482715274} | {'accuracy': 0.6692233940556088} |
| 0.0013        | 1343.0 | 18802 | 3.3467          | {'f1': 0.7831552482715274} | {'accuracy': 0.6692233940556088} |
| 0.0013        | 1344.0 | 18816 | 3.3641          | {'f1': 0.7831552482715274} | {'accuracy': 0.6692233940556088} |
| 0.0013        | 1345.0 | 18830 | 3.3817          | {'f1': 0.7839195979899497} | {'accuracy': 0.6701821668264621} |
| 0.0013        | 1346.0 | 18844 | 3.3974          | {'f1': 0.7839195979899497} | {'accuracy': 0.6701821668264621} |
| 0.0013        | 1347.0 | 18858 | 3.4118          | {'f1': 0.7839195979899497} | {'accuracy': 0.6701821668264621} |
| 0.0013        | 1348.0 | 18872 | 3.4260          | {'f1': 0.7839195979899497} | {'accuracy': 0.6701821668264621} |
| 0.0013        | 1349.0 | 18886 | 3.4392          | {'f1': 0.7839195979899497} | {'accuracy': 0.6701821668264621} |
| 0.0013        | 1350.0 | 18900 | 3.4522          | {'f1': 0.7839195979899497} | {'accuracy': 0.6701821668264621} |
| 0.0013        | 1351.0 | 18914 | 3.4642          | {'f1': 0.7846829880728186} | {'accuracy': 0.6711409395973155} |
| 0.0013        | 1352.0 | 18928 | 3.4764          | {'f1': 0.7846829880728186} | {'accuracy': 0.6711409395973155} |
| 0.0013        | 1353.0 | 18942 | 3.4877          | {'f1': 0.7846829880728186} | {'accuracy': 0.6711409395973155} |
| 0.0013        | 1354.0 | 18956 | 3.4992          | {'f1': 0.7846829880728186} | {'accuracy': 0.6711409395973155} |
| 0.0013        | 1355.0 | 18970 | 3.6613          | {'f1': 0.7413441955193484} | {'accuracy': 0.6347075743048898} |
| 0.0013        | 1356.0 | 18984 | 3.4304          | {'f1': 0.7889447236180904} | {'accuracy': 0.6778523489932886} |
| 0.0013        | 1357.0 | 18998 | 3.7710          | {'f1': 0.7192118226600985} | {'accuracy': 0.6174496644295302} |
| 0.0035        | 1358.0 | 19012 | 3.0830          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0035        | 1359.0 | 19026 | 3.2844          | {'f1': 0.7794676806083649} | {'accuracy': 0.6663470757430489} |
| 0.0035        | 1360.0 | 19040 | 3.4548          | {'f1': 0.7761194029850746} | {'accuracy': 0.6692233940556088} |
| 0.0035        | 1361.0 | 19054 | 3.4851          | {'f1': 0.7738562091503267} | {'accuracy': 0.6682646212847555} |
| 0.0035        | 1362.0 | 19068 | 3.5073          | {'f1': 0.7714472822527831} | {'accuracy': 0.6653883029721956} |
| 0.0035        | 1363.0 | 19082 | 3.5212          | {'f1': 0.7714472822527831} | {'accuracy': 0.6653883029721956} |
| 0.0035        | 1364.0 | 19096 | 3.5330          | {'f1': 0.7714472822527831} | {'accuracy': 0.6653883029721956} |
| 0.0035        | 1365.0 | 19110 | 3.5445          | {'f1': 0.7714472822527831} | {'accuracy': 0.6653883029721956} |
| 0.0035        | 1366.0 | 19124 | 3.5552          | {'f1': 0.7714472822527831} | {'accuracy': 0.6653883029721956} |
| 0.0035        | 1367.0 | 19138 | 3.5657          | {'f1': 0.7714472822527831} | {'accuracy': 0.6653883029721956} |
| 0.0035        | 1368.0 | 19152 | 3.5996          | {'f1': 0.794099569760295}  | {'accuracy': 0.6788111217641419} |
| 0.0035        | 1369.0 | 19166 | 3.6130          | {'f1': 0.7870081199250469} | {'accuracy': 0.673058485139022}  |
| 0.0035        | 1370.0 | 19180 | 3.7669          | {'f1': 0.7572944297082228} | {'accuracy': 0.6490891658676894} |
| 0.0035        | 1371.0 | 19194 | 3.7945          | {'f1': 0.7469553450608932} | {'accuracy': 0.6414189837008629} |
| 0.0035        | 1372.0 | 19208 | 3.6516          | {'f1': 0.7740693196405649} | {'accuracy': 0.6625119846596357} |
| 0.0035        | 1373.0 | 19222 | 3.5258          | {'f1': 0.79}               | {'accuracy': 0.6778523489932886} |
| 0.0035        | 1374.0 | 19236 | 3.5530          | {'f1': 0.7843631778058007} | {'accuracy': 0.6720997123681688} |
| 0.0035        | 1375.0 | 19250 | 3.5624          | {'f1': 0.7843631778058007} | {'accuracy': 0.6720997123681688} |
| 0.0035        | 1376.0 | 19264 | 3.5753          | {'f1': 0.7828282828282828} | {'accuracy': 0.6701821668264621} |
| 0.0035        | 1377.0 | 19278 | 3.5872          | {'f1': 0.7817836812144212} | {'accuracy': 0.6692233940556088} |
| 0.0035        | 1378.0 | 19292 | 3.5985          | {'f1': 0.7817836812144212} | {'accuracy': 0.6692233940556088} |
| 0.0035        | 1379.0 | 19306 | 3.6096          | {'f1': 0.7817836812144212} | {'accuracy': 0.6692233940556088} |
| 0.0035        | 1380.0 | 19320 | 3.6206          | {'f1': 0.7817836812144212} | {'accuracy': 0.6692233940556088} |
| 0.0035        | 1381.0 | 19334 | 3.6311          | {'f1': 0.7817836812144212} | {'accuracy': 0.6692233940556088} |
| 0.0035        | 1382.0 | 19348 | 3.6415          | {'f1': 0.7817836812144212} | {'accuracy': 0.6692233940556088} |
| 0.0035        | 1383.0 | 19362 | 3.6518          | {'f1': 0.7817836812144212} | {'accuracy': 0.6692233940556088} |
| 0.0035        | 1384.0 | 19376 | 3.6621          | {'f1': 0.7817836812144212} | {'accuracy': 0.6692233940556088} |
| 0.0035        | 1385.0 | 19390 | 3.6719          | {'f1': 0.7817836812144212} | {'accuracy': 0.6692233940556088} |
| 0.0035        | 1386.0 | 19404 | 3.6816          | {'f1': 0.7817836812144212} | {'accuracy': 0.6692233940556088} |
| 0.0035        | 1387.0 | 19418 | 3.6910          | {'f1': 0.7817836812144212} | {'accuracy': 0.6692233940556088} |
| 0.0035        | 1388.0 | 19432 | 3.7003          | {'f1': 0.7817836812144212} | {'accuracy': 0.6692233940556088} |
| 0.0035        | 1389.0 | 19446 | 3.7088          | {'f1': 0.7817836812144212} | {'accuracy': 0.6692233940556088} |
| 0.0035        | 1390.0 | 19460 | 3.7176          | {'f1': 0.7817836812144212} | {'accuracy': 0.6692233940556088} |
| 0.0035        | 1391.0 | 19474 | 3.7261          | {'f1': 0.7817836812144212} | {'accuracy': 0.6692233940556088} |
| 0.0035        | 1392.0 | 19488 | 3.7345          | {'f1': 0.7817836812144212} | {'accuracy': 0.6692233940556088} |
| 0.0017        | 1393.0 | 19502 | 3.7429          | {'f1': 0.7820593809222993} | {'accuracy': 0.6692233940556088} |
| 0.0017        | 1394.0 | 19516 | 3.7508          | {'f1': 0.7820593809222993} | {'accuracy': 0.6692233940556088} |
| 0.0017        | 1395.0 | 19530 | 3.7587          | {'f1': 0.7828282828282828} | {'accuracy': 0.6701821668264621} |
| 0.0017        | 1396.0 | 19544 | 3.7663          | {'f1': 0.7828282828282828} | {'accuracy': 0.6701821668264621} |
| 0.0017        | 1397.0 | 19558 | 3.7736          | {'f1': 0.7828282828282828} | {'accuracy': 0.6701821668264621} |
| 0.0017        | 1398.0 | 19572 | 3.7810          | {'f1': 0.7828282828282828} | {'accuracy': 0.6701821668264621} |
| 0.0017        | 1399.0 | 19586 | 3.7882          | {'f1': 0.7820593809222993} | {'accuracy': 0.6692233940556088} |
| 0.0017        | 1400.0 | 19600 | 3.7954          | {'f1': 0.7825537294563844} | {'accuracy': 0.6701821668264621} |
| 0.0017        | 1401.0 | 19614 | 3.8028          | {'f1': 0.7825537294563844} | {'accuracy': 0.6701821668264621} |
| 0.0017        | 1402.0 | 19628 | 3.8196          | {'f1': 0.7798340778557754} | {'accuracy': 0.6692233940556088} |
| 0.0017        | 1403.0 | 19642 | 3.8332          | {'f1': 0.7792706333973128} | {'accuracy': 0.6692233940556088} |
| 0.0017        | 1404.0 | 19656 | 3.8424          | {'f1': 0.7792706333973128} | {'accuracy': 0.6692233940556088} |
| 0.0017        | 1405.0 | 19670 | 3.8493          | {'f1': 0.7792706333973128} | {'accuracy': 0.6692233940556088} |
| 0.0017        | 1406.0 | 19684 | 3.8562          | {'f1': 0.7792706333973128} | {'accuracy': 0.6692233940556088} |
| 0.0017        | 1407.0 | 19698 | 3.8626          | {'f1': 0.7792706333973128} | {'accuracy': 0.6692233940556088} |
| 0.0017        | 1408.0 | 19712 | 3.8689          | {'f1': 0.7792706333973128} | {'accuracy': 0.6692233940556088} |
| 0.0017        | 1409.0 | 19726 | 3.8752          | {'f1': 0.7792706333973128} | {'accuracy': 0.6692233940556088} |
| 0.0017        | 1410.0 | 19740 | 3.8815          | {'f1': 0.7792706333973128} | {'accuracy': 0.6692233940556088} |
| 0.0017        | 1411.0 | 19754 | 3.8874          | {'f1': 0.7792706333973128} | {'accuracy': 0.6692233940556088} |
| 0.0017        | 1412.0 | 19768 | 3.8935          | {'f1': 0.7792706333973128} | {'accuracy': 0.6692233940556088} |
| 0.0017        | 1413.0 | 19782 | 3.8995          | {'f1': 0.7792706333973128} | {'accuracy': 0.6692233940556088} |
| 0.0017        | 1414.0 | 19796 | 3.9053          | {'f1': 0.7792706333973128} | {'accuracy': 0.6692233940556088} |
| 0.0017        | 1415.0 | 19810 | 3.9111          | {'f1': 0.7792706333973128} | {'accuracy': 0.6692233940556088} |
| 0.0017        | 1416.0 | 19824 | 3.9168          | {'f1': 0.7784891165172855} | {'accuracy': 0.6682646212847555} |
| 0.0017        | 1417.0 | 19838 | 3.9225          | {'f1': 0.7784891165172855} | {'accuracy': 0.6682646212847555} |
| 0.0017        | 1418.0 | 19852 | 3.9285          | {'f1': 0.7784891165172855} | {'accuracy': 0.6682646212847555} |
| 0.0017        | 1419.0 | 19866 | 3.9344          | {'f1': 0.7789878283151825} | {'accuracy': 0.6692233940556088} |
| 0.0017        | 1420.0 | 19880 | 3.9398          | {'f1': 0.7789878283151825} | {'accuracy': 0.6692233940556088} |
| 0.0017        | 1421.0 | 19894 | 3.9451          | {'f1': 0.7789878283151825} | {'accuracy': 0.6692233940556088} |
| 0.0017        | 1422.0 | 19908 | 3.9505          | {'f1': 0.7789878283151825} | {'accuracy': 0.6692233940556088} |
| 0.0017        | 1423.0 | 19922 | 3.9558          | {'f1': 0.7789878283151825} | {'accuracy': 0.6692233940556088} |
| 0.0017        | 1424.0 | 19936 | 3.9612          | {'f1': 0.7789878283151825} | {'accuracy': 0.6692233940556088} |
| 0.0017        | 1425.0 | 19950 | 3.9634          | {'f1': 0.7865168539325843} | {'accuracy': 0.6720997123681688} |
| 0.0017        | 1426.0 | 19964 | 3.1339          | {'f1': 0.7973462002412545} | {'accuracy': 0.6778523489932886} |
| 0.0017        | 1427.0 | 19978 | 2.7406          | {'f1': 0.799757281553398}  | {'accuracy': 0.6836049856184084} |
| 0.0017        | 1428.0 | 19992 | 2.7598          | {'f1': 0.7985392574558734} | {'accuracy': 0.6826462128475551} |
| 0.0017        | 1429.0 | 20006 | 2.8572          | {'f1': 0.7985392574558734} | {'accuracy': 0.6826462128475551} |
| 0.0017        | 1430.0 | 20020 | 2.9559          | {'f1': 0.7887850467289719} | {'accuracy': 0.6749760306807286} |
| 0.0017        | 1431.0 | 20034 | 3.0673          | {'f1': 0.7814485387547649} | {'accuracy': 0.6701821668264621} |
| 0.0017        | 1432.0 | 20048 | 3.1301          | {'f1': 0.7803946530872056} | {'accuracy': 0.6692233940556088} |
| 0.0017        | 1433.0 | 20062 | 3.1778          | {'f1': 0.7780612244897959} | {'accuracy': 0.6663470757430489} |
| 0.0017        | 1434.0 | 20076 | 3.2131          | {'f1': 0.7788400254939452} | {'accuracy': 0.6673058485139022} |
| 0.0017        | 1435.0 | 20090 | 3.2427          | {'f1': 0.7788400254939452} | {'accuracy': 0.6673058485139022} |
| 0.0017        | 1436.0 | 20104 | 3.2693          | {'f1': 0.7796178343949045} | {'accuracy': 0.6682646212847555} |
| 0.0017        | 1437.0 | 20118 | 3.2941          | {'f1': 0.7803946530872056} | {'accuracy': 0.6692233940556088} |
| 0.0017        | 1438.0 | 20132 | 3.3159          | {'f1': 0.7811704834605597} | {'accuracy': 0.6701821668264621} |
| 0.0017        | 1439.0 | 20146 | 3.3369          | {'f1': 0.7811704834605597} | {'accuracy': 0.6701821668264621} |
| 0.0017        | 1440.0 | 20160 | 3.3571          | {'f1': 0.7811704834605597} | {'accuracy': 0.6701821668264621} |
| 0.0017        | 1441.0 | 20174 | 3.2934          | {'f1': 0.7943349753694582} | {'accuracy': 0.6797698945349953} |
| 0.0017        | 1442.0 | 20188 | 3.2396          | {'f1': 0.8137769994162288} | {'accuracy': 0.6941514860977949} |
| 0.0017        | 1443.0 | 20202 | 3.2146          | {'f1': 0.8016928657799274} | {'accuracy': 0.6855225311601151} |
| 0.0017        | 1444.0 | 20216 | 3.3900          | {'f1': 0.7636603028308097} | {'accuracy': 0.6558005752636625} |
| 0.0017        | 1445.0 | 20230 | 3.4975          | {'f1': 0.7506738544474393} | {'accuracy': 0.6452540747842761} |
| 0.0017        | 1446.0 | 20244 | 3.1301          | {'f1': 0.7725210628645497} | {'accuracy': 0.663470757430489}  |
| 0.0017        | 1447.0 | 20258 | 3.0192          | {'f1': 0.7928921568627452} | {'accuracy': 0.675934803451582}  |
| 0.0017        | 1448.0 | 20272 | 3.0417          | {'f1': 0.799757281553398}  | {'accuracy': 0.6836049856184084} |
| 0.0017        | 1449.0 | 20286 | 3.0954          | {'f1': 0.7990285367334549} | {'accuracy': 0.6826462128475551} |
| 0.0017        | 1450.0 | 20300 | 3.1451          | {'f1': 0.7968369829683699} | {'accuracy': 0.6797698945349953} |
| 0.0017        | 1451.0 | 20314 | 3.2578          | {'f1': 0.7833228048010107} | {'accuracy': 0.6711409395973155} |
| 0.0017        | 1452.0 | 20328 | 3.3633          | {'f1': 0.7760617760617761} | {'accuracy': 0.6663470757430489} |
| 0.0017        | 1453.0 | 20342 | 3.4099          | {'f1': 0.7713178294573643} | {'accuracy': 0.660594439117929}  |
| 0.0017        | 1454.0 | 20356 | 3.4342          | {'f1': 0.7697283311772314} | {'accuracy': 0.6586768935762224} |
| 0.0017        | 1455.0 | 20370 | 3.4529          | {'f1': 0.7689320388349514} | {'accuracy': 0.6577181208053692} |
| 0.0017        | 1456.0 | 20384 | 3.4700          | {'f1': 0.7697283311772314} | {'accuracy': 0.6586768935762224} |
| 0.0017        | 1457.0 | 20398 | 3.4858          | {'f1': 0.7697283311772314} | {'accuracy': 0.6586768935762224} |
| 0.0017        | 1458.0 | 20412 | 3.5011          | {'f1': 0.7697283311772314} | {'accuracy': 0.6586768935762224} |
| 0.0017        | 1459.0 | 20426 | 3.5158          | {'f1': 0.7697283311772314} | {'accuracy': 0.6586768935762224} |
| 0.0017        | 1460.0 | 20440 | 3.5296          | {'f1': 0.7705235940530057} | {'accuracy': 0.6596356663470757} |
| 0.0017        | 1461.0 | 20454 | 3.5439          | {'f1': 0.7705235940530057} | {'accuracy': 0.6596356663470757} |
| 0.0017        | 1462.0 | 20468 | 3.5575          | {'f1': 0.7705235940530057} | {'accuracy': 0.6596356663470757} |
| 0.0017        | 1463.0 | 20482 | 3.5702          | {'f1': 0.7705235940530057} | {'accuracy': 0.6596356663470757} |
| 0.0017        | 1464.0 | 20496 | 3.5829          | {'f1': 0.7705235940530057} | {'accuracy': 0.6596356663470757} |
| 0.0028        | 1465.0 | 20510 | 3.5947          | {'f1': 0.7705235940530057} | {'accuracy': 0.6596356663470757} |
| 0.0028        | 1466.0 | 20524 | 3.6060          | {'f1': 0.7705235940530057} | {'accuracy': 0.6596356663470757} |
| 0.0028        | 1467.0 | 20538 | 3.6184          | {'f1': 0.7705235940530057} | {'accuracy': 0.6596356663470757} |
| 0.0028        | 1468.0 | 20552 | 3.6330          | {'f1': 0.7713178294573643} | {'accuracy': 0.660594439117929}  |
| 0.0028        | 1469.0 | 20566 | 3.6444          | {'f1': 0.7713178294573643} | {'accuracy': 0.660594439117929}  |
| 0.0028        | 1470.0 | 20580 | 3.6550          | {'f1': 0.7713178294573643} | {'accuracy': 0.660594439117929}  |
| 0.0028        | 1471.0 | 20594 | 3.6652          | {'f1': 0.7713178294573643} | {'accuracy': 0.660594439117929}  |
| 0.0028        | 1472.0 | 20608 | 3.6748          | {'f1': 0.7713178294573643} | {'accuracy': 0.660594439117929}  |
| 0.0028        | 1473.0 | 20622 | 3.6843          | {'f1': 0.7713178294573643} | {'accuracy': 0.660594439117929}  |
| 0.0028        | 1474.0 | 20636 | 3.6943          | {'f1': 0.7721110393802453} | {'accuracy': 0.6615532118887824} |
| 0.0028        | 1475.0 | 20650 | 3.7035          | {'f1': 0.7721110393802453} | {'accuracy': 0.6615532118887824} |
| 0.0028        | 1476.0 | 20664 | 3.7125          | {'f1': 0.7721110393802453} | {'accuracy': 0.6615532118887824} |
| 0.0028        | 1477.0 | 20678 | 3.7214          | {'f1': 0.7721110393802453} | {'accuracy': 0.6615532118887824} |
| 0.0028        | 1478.0 | 20692 | 3.7299          | {'f1': 0.7721110393802453} | {'accuracy': 0.6615532118887824} |
| 0.0028        | 1479.0 | 20706 | 3.7384          | {'f1': 0.7721110393802453} | {'accuracy': 0.6615532118887824} |
| 0.0028        | 1480.0 | 20720 | 3.7472          | {'f1': 0.7721110393802453} | {'accuracy': 0.6615532118887824} |
| 0.0028        | 1481.0 | 20734 | 3.7558          | {'f1': 0.7721110393802453} | {'accuracy': 0.6615532118887824} |
| 0.0028        | 1482.0 | 20748 | 3.7638          | {'f1': 0.7721110393802453} | {'accuracy': 0.6615532118887824} |
| 0.0028        | 1483.0 | 20762 | 3.7720          | {'f1': 0.7721110393802453} | {'accuracy': 0.6615532118887824} |
| 0.0028        | 1484.0 | 20776 | 3.7798          | {'f1': 0.7721110393802453} | {'accuracy': 0.6615532118887824} |
| 0.0028        | 1485.0 | 20790 | 3.7877          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0028        | 1486.0 | 20804 | 3.7951          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0028        | 1487.0 | 20818 | 3.8020          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0028        | 1488.0 | 20832 | 3.8088          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0028        | 1489.0 | 20846 | 3.8156          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0028        | 1490.0 | 20860 | 3.8228          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0028        | 1491.0 | 20874 | 3.8296          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0028        | 1492.0 | 20888 | 3.8362          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0028        | 1493.0 | 20902 | 3.8427          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0028        | 1494.0 | 20916 | 3.8495          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0028        | 1495.0 | 20930 | 3.8561          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0028        | 1496.0 | 20944 | 3.8627          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0028        | 1497.0 | 20958 | 3.8691          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0028        | 1498.0 | 20972 | 3.8755          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0028        | 1499.0 | 20986 | 3.8789          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1500.0 | 21000 | 3.8820          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1501.0 | 21014 | 3.8849          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1502.0 | 21028 | 3.8921          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1503.0 | 21042 | 3.9023          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1504.0 | 21056 | 3.9090          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1505.0 | 21070 | 3.9149          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1506.0 | 21084 | 3.9193          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1507.0 | 21098 | 3.9246          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1508.0 | 21112 | 3.9300          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1509.0 | 21126 | 3.9354          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1510.0 | 21140 | 3.9408          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1511.0 | 21154 | 3.9459          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1512.0 | 21168 | 3.9510          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1513.0 | 21182 | 3.9562          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1514.0 | 21196 | 3.9620          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1515.0 | 21210 | 3.9697          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1516.0 | 21224 | 3.9758          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1517.0 | 21238 | 3.9815          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1518.0 | 21252 | 3.9869          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1519.0 | 21266 | 3.9901          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1520.0 | 21280 | 3.9939          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1521.0 | 21294 | 3.9983          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1522.0 | 21308 | 4.0031          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1523.0 | 21322 | 4.0079          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1524.0 | 21336 | 4.0125          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1525.0 | 21350 | 4.0174          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1526.0 | 21364 | 4.0223          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1527.0 | 21378 | 4.0268          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1528.0 | 21392 | 4.0316          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1529.0 | 21406 | 4.0361          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1530.0 | 21420 | 4.0404          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1531.0 | 21434 | 4.0448          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1532.0 | 21448 | 4.0493          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1533.0 | 21462 | 4.0537          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1534.0 | 21476 | 4.0579          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1535.0 | 21490 | 4.0622          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1536.0 | 21504 | 4.0664          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1537.0 | 21518 | 4.0707          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1538.0 | 21532 | 4.0750          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1539.0 | 21546 | 4.0792          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1540.0 | 21560 | 4.0832          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1541.0 | 21574 | 4.0871          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1542.0 | 21588 | 4.0912          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1543.0 | 21602 | 4.0955          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1544.0 | 21616 | 4.0996          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1545.0 | 21630 | 4.1036          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1546.0 | 21644 | 4.1073          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1547.0 | 21658 | 4.1112          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1548.0 | 21672 | 4.1165          | {'f1': 0.7729032258064517} | {'accuracy': 0.6625119846596357} |
| 0.0           | 1549.0 | 21686 | 3.9017          | {'f1': 0.8014440433212997} | {'accuracy': 0.6836049856184084} |
| 0.0           | 1550.0 | 21700 | 3.8700          | {'f1': 0.7844882390336935} | {'accuracy': 0.6749760306807286} |
| 0.0           | 1551.0 | 21714 | 4.0126          | {'f1': 0.7632275132275134} | {'accuracy': 0.6567593480345159} |
| 0.0           | 1552.0 | 21728 | 3.9931          | {'f1': 0.7726384364820847} | {'accuracy': 0.6653883029721956} |
| 0.0           | 1553.0 | 21742 | 4.2090          | {'f1': 0.7319090282563748} | {'accuracy': 0.6270373921380633} |
| 0.0           | 1554.0 | 21756 | 3.9683          | {'f1': 0.7607687210072895} | {'accuracy': 0.6538830297219559} |
| 0.0           | 1555.0 | 21770 | 3.7897          | {'f1': 0.7922403003754693} | {'accuracy': 0.6816874400767018} |
| 0.0           | 1556.0 | 21784 | 3.7701          | {'f1': 0.7987730061349694} | {'accuracy': 0.6855225311601151} |
| 0.0           | 1557.0 | 21798 | 3.7835          | {'f1': 0.7968273337400854} | {'accuracy': 0.6807286673058485} |
| 0.0           | 1558.0 | 21812 | 3.8007          | {'f1': 0.7970660146699265} | {'accuracy': 0.6816874400767018} |
| 0.0           | 1559.0 | 21826 | 3.8132          | {'f1': 0.7970660146699265} | {'accuracy': 0.6816874400767018} |
| 0.0           | 1560.0 | 21840 | 3.8216          | {'f1': 0.7968176254589964} | {'accuracy': 0.6816874400767018} |
| 0.0           | 1561.0 | 21854 | 3.8298          | {'f1': 0.7962962962962964} | {'accuracy': 0.6836049856184084} |
| 0.0           | 1562.0 | 21868 | 3.9664          | {'f1': 0.7775653282345444} | {'accuracy': 0.6653883029721956} |
| 0.0           | 1563.0 | 21882 | 4.0048          | {'f1': 0.7675466838377334} | {'accuracy': 0.6538830297219559} |
| 0.0           | 1564.0 | 21896 | 4.0180          | {'f1': 0.7685364281108962} | {'accuracy': 0.6558005752636625} |
| 0.0           | 1565.0 | 21910 | 4.0261          | {'f1': 0.767741935483871}  | {'accuracy': 0.6548418024928092} |
| 0.0           | 1566.0 | 21924 | 4.0323          | {'f1': 0.767741935483871}  | {'accuracy': 0.6548418024928092} |
| 0.0           | 1567.0 | 21938 | 4.0383          | {'f1': 0.767741935483871}  | {'accuracy': 0.6548418024928092} |
| 0.0           | 1568.0 | 21952 | 3.9505          | {'f1': 0.7897691827822833} | {'accuracy': 0.6768935762224353} |
| 0.0           | 1569.0 | 21966 | 3.9634          | {'f1': 0.792079207920792}  | {'accuracy': 0.6778523489932886} |
| 0.0           | 1570.0 | 21980 | 3.9668          | {'f1': 0.7918468190240889} | {'accuracy': 0.6768935762224353} |
| 0.0           | 1571.0 | 21994 | 3.9713          | {'f1': 0.7918468190240889} | {'accuracy': 0.6768935762224353} |
| 0.0035        | 1572.0 | 22008 | 3.9761          | {'f1': 0.7918468190240889} | {'accuracy': 0.6768935762224353} |
| 0.0035        | 1573.0 | 22022 | 3.9805          | {'f1': 0.7918468190240889} | {'accuracy': 0.6768935762224353} |
| 0.0035        | 1574.0 | 22036 | 3.9847          | {'f1': 0.7918468190240889} | {'accuracy': 0.6768935762224353} |
| 0.0035        | 1575.0 | 22050 | 3.9890          | {'f1': 0.7918468190240889} | {'accuracy': 0.6768935762224353} |
| 0.0035        | 1576.0 | 22064 | 3.9936          | {'f1': 0.7918468190240889} | {'accuracy': 0.6768935762224353} |
| 0.0035        | 1577.0 | 22078 | 3.9994          | {'f1': 0.7918468190240889} | {'accuracy': 0.6768935762224353} |
| 0.0035        | 1578.0 | 22092 | 4.0038          | {'f1': 0.7923362175525341} | {'accuracy': 0.6778523489932886} |
| 0.0035        | 1579.0 | 22106 | 4.0078          | {'f1': 0.7923362175525341} | {'accuracy': 0.6778523489932886} |
| 0.0035        | 1580.0 | 22120 | 4.0126          | {'f1': 0.7923362175525341} | {'accuracy': 0.6778523489932886} |
| 0.0035        | 1581.0 | 22134 | 4.0171          | {'f1': 0.7915893630179344} | {'accuracy': 0.6768935762224353} |
| 0.0035        | 1582.0 | 22148 | 4.0212          | {'f1': 0.7915893630179344} | {'accuracy': 0.6768935762224353} |
| 0.0035        | 1583.0 | 22162 | 4.0250          | {'f1': 0.7915893630179344} | {'accuracy': 0.6768935762224353} |
| 0.0035        | 1584.0 | 22176 | 4.0288          | {'f1': 0.7915893630179344} | {'accuracy': 0.6768935762224353} |
| 0.0035        | 1585.0 | 22190 | 4.0326          | {'f1': 0.7915893630179344} | {'accuracy': 0.6768935762224353} |
| 0.0035        | 1586.0 | 22204 | 4.0369          | {'f1': 0.792079207920792}  | {'accuracy': 0.6778523489932886} |
| 0.0035        | 1587.0 | 22218 | 4.2489          | {'f1': 0.7583001328021248} | {'accuracy': 0.6510067114093959} |
| 0.0035        | 1588.0 | 22232 | 4.6711          | {'f1': 0.7198306280875088} | {'accuracy': 0.6193672099712368} |
| 0.0035        | 1589.0 | 22246 | 4.5398          | {'f1': 0.7299168975069252} | {'accuracy': 0.62607861936721}   |
| 0.0035        | 1590.0 | 22260 | 4.1529          | {'f1': 0.7819453273998729} | {'accuracy': 0.6711409395973155} |
| 0.0035        | 1591.0 | 22274 | 4.0919          | {'f1': 0.7919799498746867} | {'accuracy': 0.6816874400767018} |
| 0.0035        | 1592.0 | 22288 | 4.0792          | {'f1': 0.7945034353529045} | {'accuracy': 0.6845637583892618} |
| 0.0035        | 1593.0 | 22302 | 4.0807          | {'f1': 0.7947598253275109} | {'accuracy': 0.6845637583892618} |
| 0.0035        | 1594.0 | 22316 | 4.0843          | {'f1': 0.7947598253275109} | {'accuracy': 0.6845637583892618} |
| 0.0035        | 1595.0 | 22330 | 4.2878          | {'f1': 0.7621550591327201} | {'accuracy': 0.6529242569511026} |
| 0.0035        | 1596.0 | 22344 | 4.4756          | {'f1': 0.7309292649098476} | {'accuracy': 0.6279961649089166} |
| 0.0035        | 1597.0 | 22358 | 4.5376          | {'f1': 0.7244538407329105} | {'accuracy': 0.6251198465963567} |
| 0.0035        | 1598.0 | 22372 | 4.5627          | {'f1': 0.7237960339943343} | {'accuracy': 0.62607861936721}   |
| 0.0035        | 1599.0 | 22386 | 4.5724          | {'f1': 0.7237960339943343} | {'accuracy': 0.62607861936721}   |
| 0.0035        | 1600.0 | 22400 | 4.2679          | {'f1': 0.7645901639344261} | {'accuracy': 0.6558005752636625} |
| 0.0035        | 1601.0 | 22414 | 4.1095          | {'f1': 0.7945544554455446} | {'accuracy': 0.6816874400767018} |
| 0.0035        | 1602.0 | 22428 | 4.1573          | {'f1': 0.7938461538461539} | {'accuracy': 0.6788111217641419} |
| 0.0035        | 1603.0 | 22442 | 4.1654          | {'f1': 0.7946045370938075} | {'accuracy': 0.6788111217641419} |
| 0.0035        | 1604.0 | 22456 | 4.1699          | {'f1': 0.7953431372549019} | {'accuracy': 0.6797698945349953} |
| 0.0035        | 1605.0 | 22470 | 4.1739          | {'f1': 0.7953431372549019} | {'accuracy': 0.6797698945349953} |
| 0.0035        | 1606.0 | 22484 | 4.1774          | {'f1': 0.7953431372549019} | {'accuracy': 0.6797698945349953} |
| 0.0035        | 1607.0 | 22498 | 4.1809          | {'f1': 0.7953431372549019} | {'accuracy': 0.6797698945349953} |
| 0.0014        | 1608.0 | 22512 | 4.1845          | {'f1': 0.7953431372549019} | {'accuracy': 0.6797698945349953} |
| 0.0014        | 1609.0 | 22526 | 4.1880          | {'f1': 0.7953431372549019} | {'accuracy': 0.6797698945349953} |
| 0.0014        | 1610.0 | 22540 | 4.1916          | {'f1': 0.7953431372549019} | {'accuracy': 0.6797698945349953} |
| 0.0014        | 1611.0 | 22554 | 4.2412          | {'f1': 0.7781350482315114} | {'accuracy': 0.6692233940556088} |
| 0.0014        | 1612.0 | 22568 | 4.4512          | {'f1': 0.7589403973509934} | {'accuracy': 0.6510067114093959} |
| 0.0014        | 1613.0 | 22582 | 4.5011          | {'f1': 0.7544910179640718} | {'accuracy': 0.6462128475551294} |
| 0.0014        | 1614.0 | 22596 | 4.5102          | {'f1': 0.7531603459747173} | {'accuracy': 0.6442953020134228} |
| 0.0014        | 1615.0 | 22610 | 4.5148          | {'f1': 0.7523302263648469} | {'accuracy': 0.6433365292425696} |
| 0.0014        | 1616.0 | 22624 | 4.5186          | {'f1': 0.7523302263648469} | {'accuracy': 0.6433365292425696} |
| 0.0014        | 1617.0 | 22638 | 4.5220          | {'f1': 0.7523302263648469} | {'accuracy': 0.6433365292425696} |
| 0.0014        | 1618.0 | 22652 | 4.2354          | {'f1': 0.7885926844389336} | {'accuracy': 0.673058485139022}  |
| 0.0014        | 1619.0 | 22666 | 4.2319          | {'f1': 0.7929354445797808} | {'accuracy': 0.6740172579098753} |
| 0.0014        | 1620.0 | 22680 | 4.1646          | {'f1': 0.7921520539546291} | {'accuracy': 0.6749760306807286} |
| 0.0014        | 1621.0 | 22694 | 4.0583          | {'f1': 0.7860759493670886} | {'accuracy': 0.675934803451582}  |
| 0.0014        | 1622.0 | 22708 | 4.0576          | {'f1': 0.7839388145315487} | {'accuracy': 0.6749760306807286} |
| 0.0014        | 1623.0 | 22722 | 4.0658          | {'f1': 0.7794871794871795} | {'accuracy': 0.6701821668264621} |
| 0.0014        | 1624.0 | 22736 | 4.0699          | {'f1': 0.7787042976266837} | {'accuracy': 0.6692233940556088} |
| 0.0014        | 1625.0 | 22750 | 4.0743          | {'f1': 0.7792041078305519} | {'accuracy': 0.6701821668264621} |
| 0.0014        | 1626.0 | 22764 | 4.0791          | {'f1': 0.7792041078305519} | {'accuracy': 0.6701821668264621} |
| 0.0014        | 1627.0 | 22778 | 4.0839          | {'f1': 0.7792041078305519} | {'accuracy': 0.6701821668264621} |
| 0.0014        | 1628.0 | 22792 | 4.0887          | {'f1': 0.7792041078305519} | {'accuracy': 0.6701821668264621} |
| 0.0014        | 1629.0 | 22806 | 4.0935          | {'f1': 0.7792041078305519} | {'accuracy': 0.6701821668264621} |
| 0.0014        | 1630.0 | 22820 | 4.0980          | {'f1': 0.7792041078305519} | {'accuracy': 0.6701821668264621} |
| 0.0014        | 1631.0 | 22834 | 4.1025          | {'f1': 0.7792041078305519} | {'accuracy': 0.6701821668264621} |
| 0.0014        | 1632.0 | 22848 | 4.1068          | {'f1': 0.7792041078305519} | {'accuracy': 0.6701821668264621} |
| 0.0014        | 1633.0 | 22862 | 4.1109          | {'f1': 0.7792041078305519} | {'accuracy': 0.6701821668264621} |
| 0.0014        | 1634.0 | 22876 | 4.1155          | {'f1': 0.7792041078305519} | {'accuracy': 0.6701821668264621} |
| 0.0014        | 1635.0 | 22890 | 4.1202          | {'f1': 0.7792041078305519} | {'accuracy': 0.6701821668264621} |
| 0.0014        | 1636.0 | 22904 | 4.1250          | {'f1': 0.7792041078305519} | {'accuracy': 0.6701821668264621} |
| 0.0014        | 1637.0 | 22918 | 4.1304          | {'f1': 0.7792041078305519} | {'accuracy': 0.6701821668264621} |
| 0.0014        | 1638.0 | 22932 | 4.1350          | {'f1': 0.7787042976266837} | {'accuracy': 0.6692233940556088} |
| 0.0014        | 1639.0 | 22946 | 4.1411          | {'f1': 0.7787042976266837} | {'accuracy': 0.6692233940556088} |
| 0.0014        | 1640.0 | 22960 | 4.1461          | {'f1': 0.7787042976266837} | {'accuracy': 0.6692233940556088} |
| 0.0014        | 1641.0 | 22974 | 4.1502          | {'f1': 0.7787042976266837} | {'accuracy': 0.6692233940556088} |
| 0.0014        | 1642.0 | 22988 | 4.1541          | {'f1': 0.7787042976266837} | {'accuracy': 0.6692233940556088} |
| 0.0014        | 1643.0 | 23002 | 4.1580          | {'f1': 0.7787042976266837} | {'accuracy': 0.6692233940556088} |
| 0.0014        | 1644.0 | 23016 | 4.1620          | {'f1': 0.7787042976266837} | {'accuracy': 0.6692233940556088} |
| 0.0014        | 1645.0 | 23030 | 4.1660          | {'f1': 0.7787042976266837} | {'accuracy': 0.6692233940556088} |
| 0.0014        | 1646.0 | 23044 | 4.1699          | {'f1': 0.7787042976266837} | {'accuracy': 0.6692233940556088} |
| 0.0014        | 1647.0 | 23058 | 4.1738          | {'f1': 0.7787042976266837} | {'accuracy': 0.6692233940556088} |
| 0.0014        | 1648.0 | 23072 | 4.1777          | {'f1': 0.7787042976266837} | {'accuracy': 0.6692233940556088} |
| 0.0014        | 1649.0 | 23086 | 4.1815          | {'f1': 0.7787042976266837} | {'accuracy': 0.6692233940556088} |
| 0.0014        | 1650.0 | 23100 | 4.1855          | {'f1': 0.7787042976266837} | {'accuracy': 0.6692233940556088} |
| 0.0014        | 1651.0 | 23114 | 4.1895          | {'f1': 0.7787042976266837} | {'accuracy': 0.6692233940556088} |
| 0.0014        | 1652.0 | 23128 | 4.1933          | {'f1': 0.7787042976266837} | {'accuracy': 0.6692233940556088} |
| 0.0014        | 1653.0 | 23142 | 4.1969          | {'f1': 0.7787042976266837} | {'accuracy': 0.6692233940556088} |
| 0.0014        | 1654.0 | 23156 | 4.2004          | {'f1': 0.7787042976266837} | {'accuracy': 0.6692233940556088} |
| 0.0014        | 1655.0 | 23170 | 4.2040          | {'f1': 0.7787042976266837} | {'accuracy': 0.6692233940556088} |
| 0.0014        | 1656.0 | 23184 | 4.2082          | {'f1': 0.7794871794871795} | {'accuracy': 0.6701821668264621} |
| 0.0014        | 1657.0 | 23198 | 4.2118          | {'f1': 0.7794871794871795} | {'accuracy': 0.6701821668264621} |
| 0.0014        | 1658.0 | 23212 | 4.3573          | {'f1': 0.7581179589131875} | {'accuracy': 0.6500479386385427} |
| 0.0014        | 1659.0 | 23226 | 4.3151          | {'f1': 0.7787042976266837} | {'accuracy': 0.6692233940556088} |
| 0.0014        | 1660.0 | 23240 | 4.3018          | {'f1': 0.7866161616161617} | {'accuracy': 0.675934803451582}  |
| 0.0014        | 1661.0 | 23254 | 4.3040          | {'f1': 0.7874608150470219} | {'accuracy': 0.6749760306807286} |
| 0.0014        | 1662.0 | 23268 | 4.3155          | {'f1': 0.788220551378446}  | {'accuracy': 0.675934803451582}  |
| 0.0014        | 1663.0 | 23282 | 4.3198          | {'f1': 0.788220551378446}  | {'accuracy': 0.675934803451582}  |
| 0.0014        | 1664.0 | 23296 | 4.3228          | {'f1': 0.788220551378446}  | {'accuracy': 0.675934803451582}  |
| 0.0014        | 1665.0 | 23310 | 4.3256          | {'f1': 0.788220551378446}  | {'accuracy': 0.675934803451582}  |
| 0.0014        | 1666.0 | 23324 | 4.3284          | {'f1': 0.788220551378446}  | {'accuracy': 0.675934803451582}  |
| 0.0014        | 1667.0 | 23338 | 4.3313          | {'f1': 0.788220551378446}  | {'accuracy': 0.675934803451582}  |
| 0.0014        | 1668.0 | 23352 | 4.3340          | {'f1': 0.788220551378446}  | {'accuracy': 0.675934803451582}  |
| 0.0014        | 1669.0 | 23366 | 4.3368          | {'f1': 0.788220551378446}  | {'accuracy': 0.675934803451582}  |
| 0.0014        | 1670.0 | 23380 | 4.3394          | {'f1': 0.788220551378446}  | {'accuracy': 0.675934803451582}  |
| 0.0014        | 1671.0 | 23394 | 4.3420          | {'f1': 0.788220551378446}  | {'accuracy': 0.675934803451582}  |
| 0.0014        | 1672.0 | 23408 | 4.3447          | {'f1': 0.788220551378446}  | {'accuracy': 0.675934803451582}  |
| 0.0014        | 1673.0 | 23422 | 4.3474          | {'f1': 0.788220551378446}  | {'accuracy': 0.675934803451582}  |
| 0.0014        | 1674.0 | 23436 | 4.3504          | {'f1': 0.788979336255479}  | {'accuracy': 0.6768935762224353} |
| 0.0014        | 1675.0 | 23450 | 4.3532          | {'f1': 0.788979336255479}  | {'accuracy': 0.6768935762224353} |
| 0.0014        | 1676.0 | 23464 | 4.3559          | {'f1': 0.788979336255479}  | {'accuracy': 0.6768935762224353} |
| 0.0014        | 1677.0 | 23478 | 4.3585          | {'f1': 0.788979336255479}  | {'accuracy': 0.6768935762224353} |
| 0.0014        | 1678.0 | 23492 | 4.3612          | {'f1': 0.788979336255479}  | {'accuracy': 0.6768935762224353} |
| 0.0005        | 1679.0 | 23506 | 4.3638          | {'f1': 0.788979336255479}  | {'accuracy': 0.6768935762224353} |
| 0.0005        | 1680.0 | 23520 | 4.3665          | {'f1': 0.788979336255479}  | {'accuracy': 0.6768935762224353} |
| 0.0005        | 1681.0 | 23534 | 4.3692          | {'f1': 0.788979336255479}  | {'accuracy': 0.6768935762224353} |
| 0.0005        | 1682.0 | 23548 | 4.3720          | {'f1': 0.788220551378446}  | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1683.0 | 23562 | 4.3746          | {'f1': 0.788220551378446}  | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1684.0 | 23576 | 4.3772          | {'f1': 0.788220551378446}  | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1685.0 | 23590 | 4.3799          | {'f1': 0.788220551378446}  | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1686.0 | 23604 | 4.3825          | {'f1': 0.788220551378446}  | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1687.0 | 23618 | 4.3850          | {'f1': 0.788220551378446}  | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1688.0 | 23632 | 4.3876          | {'f1': 0.788220551378446}  | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1689.0 | 23646 | 4.3902          | {'f1': 0.788220551378446}  | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1690.0 | 23660 | 4.3927          | {'f1': 0.788220551378446}  | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1691.0 | 23674 | 4.3952          | {'f1': 0.788220551378446}  | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1692.0 | 23688 | 4.3978          | {'f1': 0.788220551378446}  | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1693.0 | 23702 | 4.3986          | {'f1': 0.7876884422110552} | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1694.0 | 23716 | 4.4119          | {'f1': 0.7868852459016392} | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1695.0 | 23730 | 4.4176          | {'f1': 0.7868852459016392} | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1696.0 | 23744 | 4.4208          | {'f1': 0.7868852459016392} | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1697.0 | 23758 | 4.4234          | {'f1': 0.7868852459016392} | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1698.0 | 23772 | 4.4257          | {'f1': 0.7868852459016392} | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1699.0 | 23786 | 4.4289          | {'f1': 0.7868852459016392} | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1700.0 | 23800 | 4.4314          | {'f1': 0.7868852459016392} | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1701.0 | 23814 | 4.4337          | {'f1': 0.7868852459016392} | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1702.0 | 23828 | 4.4360          | {'f1': 0.7868852459016392} | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1703.0 | 23842 | 4.4384          | {'f1': 0.7868852459016392} | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1704.0 | 23856 | 4.4408          | {'f1': 0.7868852459016392} | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1705.0 | 23870 | 4.4431          | {'f1': 0.7868852459016392} | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1706.0 | 23884 | 4.4452          | {'f1': 0.7868852459016392} | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1707.0 | 23898 | 4.4474          | {'f1': 0.7868852459016392} | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1708.0 | 23912 | 4.4498          | {'f1': 0.7868852459016392} | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1709.0 | 23926 | 4.4520          | {'f1': 0.7868852459016392} | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1710.0 | 23940 | 4.4543          | {'f1': 0.7868852459016392} | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1711.0 | 23954 | 4.4565          | {'f1': 0.7868852459016392} | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1712.0 | 23968 | 4.4587          | {'f1': 0.7868852459016392} | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1713.0 | 23982 | 4.4610          | {'f1': 0.7868852459016392} | {'accuracy': 0.675934803451582}  |
| 0.0005        | 1714.0 | 23996 | 4.4632          | {'f1': 0.7868852459016392} | {'accuracy': 0.675934803451582}  |
| 0.0           | 1715.0 | 24010 | 4.4655          | {'f1': 0.7868852459016392} | {'accuracy': 0.675934803451582}  |
| 0.0           | 1716.0 | 24024 | 4.4677          | {'f1': 0.7868852459016392} | {'accuracy': 0.675934803451582}  |
| 0.0           | 1717.0 | 24038 | 4.4699          | {'f1': 0.7868852459016392} | {'accuracy': 0.675934803451582}  |
| 0.0           | 1718.0 | 24052 | 4.4721          | {'f1': 0.7868852459016392} | {'accuracy': 0.675934803451582}  |
| 0.0           | 1719.0 | 24066 | 4.4744          | {'f1': 0.7868852459016392} | {'accuracy': 0.675934803451582}  |
| 0.0           | 1720.0 | 24080 | 4.4766          | {'f1': 0.7868852459016392} | {'accuracy': 0.675934803451582}  |
| 0.0           | 1721.0 | 24094 | 4.4789          | {'f1': 0.7868852459016392} | {'accuracy': 0.675934803451582}  |
| 0.0           | 1722.0 | 24108 | 4.4008          | {'f1': 0.7890137328339576} | {'accuracy': 0.675934803451582}  |
| 0.0           | 1723.0 | 24122 | 4.2421          | {'f1': 0.7908698334361506} | {'accuracy': 0.6749760306807286} |
| 0.0           | 1724.0 | 24136 | 4.2100          | {'f1': 0.7936117936117937} | {'accuracy': 0.6778523489932886} |
| 0.0           | 1725.0 | 24150 | 4.2115          | {'f1': 0.7931246163290362} | {'accuracy': 0.6768935762224353} |
| 0.0           | 1726.0 | 24164 | 4.2191          | {'f1': 0.7936117936117937} | {'accuracy': 0.6778523489932886} |
| 0.0           | 1727.0 | 24178 | 4.2272          | {'f1': 0.7936117936117937} | {'accuracy': 0.6778523489932886} |
| 0.0           | 1728.0 | 24192 | 4.2346          | {'f1': 0.7936117936117937} | {'accuracy': 0.6778523489932886} |
| 0.0           | 1729.0 | 24206 | 4.2417          | {'f1': 0.7936117936117937} | {'accuracy': 0.6778523489932886} |
| 0.0           | 1730.0 | 24220 | 4.2473          | {'f1': 0.7936117936117937} | {'accuracy': 0.6778523489932886} |
| 0.0           | 1731.0 | 24234 | 4.2522          | {'f1': 0.7936117936117937} | {'accuracy': 0.6778523489932886} |
| 0.0           | 1732.0 | 24248 | 4.2575          | {'f1': 0.7936117936117937} | {'accuracy': 0.6778523489932886} |
| 0.0           | 1733.0 | 24262 | 4.2623          | {'f1': 0.7936117936117937} | {'accuracy': 0.6778523489932886} |
| 0.0           | 1734.0 | 24276 | 4.2667          | {'f1': 0.7928703134603565} | {'accuracy': 0.6768935762224353} |
| 0.0           | 1735.0 | 24290 | 4.2711          | {'f1': 0.7928703134603565} | {'accuracy': 0.6768935762224353} |
| 0.0           | 1736.0 | 24304 | 4.2756          | {'f1': 0.7928703134603565} | {'accuracy': 0.6768935762224353} |
| 0.0           | 1737.0 | 24318 | 4.3072          | {'f1': 0.791537025513379}  | {'accuracy': 0.6788111217641419} |
| 0.0           | 1738.0 | 24332 | 4.3233          | {'f1': 0.7897691827822833} | {'accuracy': 0.6768935762224353} |
| 0.0           | 1739.0 | 24346 | 4.3294          | {'f1': 0.7897691827822833} | {'accuracy': 0.6768935762224353} |
| 0.0           | 1740.0 | 24360 | 4.3331          | {'f1': 0.7897691827822833} | {'accuracy': 0.6768935762224353} |
| 0.0           | 1741.0 | 24374 | 4.3373          | {'f1': 0.7897691827822833} | {'accuracy': 0.6768935762224353} |
| 0.0           | 1742.0 | 24388 | 4.3408          | {'f1': 0.7897691827822833} | {'accuracy': 0.6768935762224353} |
| 0.0           | 1743.0 | 24402 | 4.3443          | {'f1': 0.7897691827822833} | {'accuracy': 0.6768935762224353} |
| 0.0           | 1744.0 | 24416 | 4.3654          | {'f1': 0.7874608150470219} | {'accuracy': 0.6749760306807286} |
| 0.0           | 1745.0 | 24430 | 4.3858          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0           | 1746.0 | 24444 | 4.3925          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0           | 1747.0 | 24458 | 4.3963          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0           | 1748.0 | 24472 | 4.3992          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0           | 1749.0 | 24486 | 4.4020          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0009        | 1750.0 | 24500 | 4.4049          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0009        | 1751.0 | 24514 | 4.4079          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0009        | 1752.0 | 24528 | 4.4106          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0009        | 1753.0 | 24542 | 4.4132          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0009        | 1754.0 | 24556 | 4.4162          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0009        | 1755.0 | 24570 | 4.4190          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0009        | 1756.0 | 24584 | 4.4219          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0009        | 1757.0 | 24598 | 4.4244          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0009        | 1758.0 | 24612 | 4.4270          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0009        | 1759.0 | 24626 | 4.4296          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0009        | 1760.0 | 24640 | 4.4321          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0009        | 1761.0 | 24654 | 4.4348          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0009        | 1762.0 | 24668 | 4.4373          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0009        | 1763.0 | 24682 | 4.4399          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0009        | 1764.0 | 24696 | 4.4427          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0009        | 1765.0 | 24710 | 4.4452          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0009        | 1766.0 | 24724 | 4.4478          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0009        | 1767.0 | 24738 | 4.4505          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0009        | 1768.0 | 24752 | 4.4531          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0009        | 1769.0 | 24766 | 4.4554          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0009        | 1770.0 | 24780 | 4.4578          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0009        | 1771.0 | 24794 | 4.4601          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0009        | 1772.0 | 24808 | 4.4624          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0009        | 1773.0 | 24822 | 4.4648          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0009        | 1774.0 | 24836 | 4.4671          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0009        | 1775.0 | 24850 | 4.4694          | {'f1': 0.7869264613450659} | {'accuracy': 0.6749760306807286} |
| 0.0009        | 1776.0 | 24864 | 4.5671          | {'f1': 0.7576564580559254} | {'accuracy': 0.6510067114093959} |
| 0.0009        | 1777.0 | 24878 | 4.7172          | {'f1': 0.7440273037542662} | {'accuracy': 0.6404602109300096} |
| 0.0009        | 1778.0 | 24892 | 4.7565          | {'f1': 0.7393689986282578} | {'accuracy': 0.6356663470757431} |
| 0.0009        | 1779.0 | 24906 | 4.7650          | {'f1': 0.7390109890109892} | {'accuracy': 0.6356663470757431} |
| 0.0009        | 1780.0 | 24920 | 4.7686          | {'f1': 0.7377838953888507} | {'accuracy': 0.6347075743048898} |
| 0.0009        | 1781.0 | 24934 | 4.7711          | {'f1': 0.7377838953888507} | {'accuracy': 0.6347075743048898} |
| 0.0009        | 1782.0 | 24948 | 4.7733          | {'f1': 0.7377838953888507} | {'accuracy': 0.6347075743048898} |
| 0.0009        | 1783.0 | 24962 | 4.7755          | {'f1': 0.7377838953888507} | {'accuracy': 0.6347075743048898} |
| 0.0009        | 1784.0 | 24976 | 4.5481          | {'f1': 0.7472826086956522} | {'accuracy': 0.6433365292425696} |
| 0.0009        | 1785.0 | 24990 | 3.9267          | {'f1': 0.7671232876712328} | {'accuracy': 0.6577181208053692} |
| 0.0018        | 1786.0 | 25004 | 3.8172          | {'f1': 0.7704280155642025} | {'accuracy': 0.660594439117929}  |
| 0.0018        | 1787.0 | 25018 | 3.7969          | {'f1': 0.7744020685197156} | {'accuracy': 0.6653883029721956} |
| 0.0018        | 1788.0 | 25032 | 3.7980          | {'f1': 0.7744020685197156} | {'accuracy': 0.6653883029721956} |
| 0.0018        | 1789.0 | 25046 | 3.8043          | {'f1': 0.7744020685197156} | {'accuracy': 0.6653883029721956} |
| 0.0018        | 1790.0 | 25060 | 3.8114          | {'f1': 0.7744020685197156} | {'accuracy': 0.6653883029721956} |
| 0.0018        | 1791.0 | 25074 | 3.8182          | {'f1': 0.7744020685197156} | {'accuracy': 0.6653883029721956} |
| 0.0018        | 1792.0 | 25088 | 3.8246          | {'f1': 0.7744020685197156} | {'accuracy': 0.6653883029721956} |
| 0.0018        | 1793.0 | 25102 | 3.8311          | {'f1': 0.7744020685197156} | {'accuracy': 0.6653883029721956} |
| 0.0018        | 1794.0 | 25116 | 3.8368          | {'f1': 0.7744020685197156} | {'accuracy': 0.6653883029721956} |
| 0.0018        | 1795.0 | 25130 | 3.8428          | {'f1': 0.7744020685197156} | {'accuracy': 0.6653883029721956} |
| 0.0018        | 1796.0 | 25144 | 3.8484          | {'f1': 0.7744020685197156} | {'accuracy': 0.6653883029721956} |
| 0.0018        | 1797.0 | 25158 | 3.8542          | {'f1': 0.7744020685197156} | {'accuracy': 0.6653883029721956} |
| 0.0018        | 1798.0 | 25172 | 3.8594          | {'f1': 0.7744020685197156} | {'accuracy': 0.6653883029721956} |
| 0.0018        | 1799.0 | 25186 | 3.8645          | {'f1': 0.7744020685197156} | {'accuracy': 0.6653883029721956} |
| 0.0018        | 1800.0 | 25200 | 3.8701          | {'f1': 0.7744020685197156} | {'accuracy': 0.6653883029721956} |
| 0.0018        | 1801.0 | 25214 | 3.8748          | {'f1': 0.7744020685197156} | {'accuracy': 0.6653883029721956} |
| 0.0018        | 1802.0 | 25228 | 3.8794          | {'f1': 0.7744020685197156} | {'accuracy': 0.6653883029721956} |
| 0.0018        | 1803.0 | 25242 | 3.8841          | {'f1': 0.7744020685197156} | {'accuracy': 0.6653883029721956} |
| 0.0018        | 1804.0 | 25256 | 3.8883          | {'f1': 0.7744020685197156} | {'accuracy': 0.6653883029721956} |
| 0.0018        | 1805.0 | 25270 | 3.8925          | {'f1': 0.7744020685197156} | {'accuracy': 0.6653883029721956} |
| 0.0018        | 1806.0 | 25284 | 3.8967          | {'f1': 0.7736093143596379} | {'accuracy': 0.6644295302013423} |
| 0.0018        | 1807.0 | 25298 | 3.9009          | {'f1': 0.7736093143596379} | {'accuracy': 0.6644295302013423} |
| 0.0018        | 1808.0 | 25312 | 3.9050          | {'f1': 0.7736093143596379} | {'accuracy': 0.6644295302013423} |
| 0.0018        | 1809.0 | 25326 | 3.9090          | {'f1': 0.7736093143596379} | {'accuracy': 0.6644295302013423} |
| 0.0018        | 1810.0 | 25340 | 3.9129          | {'f1': 0.7736093143596379} | {'accuracy': 0.6644295302013423} |
| 0.0018        | 1811.0 | 25354 | 3.9165          | {'f1': 0.7736093143596379} | {'accuracy': 0.6644295302013423} |
| 0.0018        | 1812.0 | 25368 | 3.9203          | {'f1': 0.7728155339805826} | {'accuracy': 0.663470757430489}  |
| 0.0018        | 1813.0 | 25382 | 3.9241          | {'f1': 0.7728155339805826} | {'accuracy': 0.663470757430489}  |
| 0.0018        | 1814.0 | 25396 | 3.9276          | {'f1': 0.7728155339805826} | {'accuracy': 0.663470757430489}  |
| 0.0018        | 1815.0 | 25410 | 3.9311          | {'f1': 0.7728155339805826} | {'accuracy': 0.663470757430489}  |
| 0.0018        | 1816.0 | 25424 | 3.9346          | {'f1': 0.7728155339805826} | {'accuracy': 0.663470757430489}  |
| 0.0018        | 1817.0 | 25438 | 3.9385          | {'f1': 0.7736093143596379} | {'accuracy': 0.6644295302013423} |
| 0.0018        | 1818.0 | 25452 | 3.9423          | {'f1': 0.7744020685197156} | {'accuracy': 0.6653883029721956} |
| 0.0018        | 1819.0 | 25466 | 3.9461          | {'f1': 0.7744020685197156} | {'accuracy': 0.6653883029721956} |
| 0.0018        | 1820.0 | 25480 | 3.9495          | {'f1': 0.7744020685197156} | {'accuracy': 0.6653883029721956} |
| 0.0018        | 1821.0 | 25494 | 3.9529          | {'f1': 0.7744020685197156} | {'accuracy': 0.6653883029721956} |
| 0.0           | 1822.0 | 25508 | 3.9561          | {'f1': 0.7744020685197156} | {'accuracy': 0.6653883029721956} |
| 0.0           | 1823.0 | 25522 | 3.9593          | {'f1': 0.7744020685197156} | {'accuracy': 0.6653883029721956} |
| 0.0           | 1824.0 | 25536 | 3.9626          | {'f1': 0.7744020685197156} | {'accuracy': 0.6653883029721956} |
| 0.0           | 1825.0 | 25550 | 3.9689          | {'f1': 0.772020725388601}  | {'accuracy': 0.6625119846596357} |
| 0.0           | 1826.0 | 25564 | 3.9741          | {'f1': 0.7704280155642025} | {'accuracy': 0.660594439117929}  |
| 0.0           | 1827.0 | 25578 | 3.9776          | {'f1': 0.7704280155642025} | {'accuracy': 0.660594439117929}  |
| 0.0           | 1828.0 | 25592 | 3.9806          | {'f1': 0.7704280155642025} | {'accuracy': 0.660594439117929}  |
| 0.0           | 1829.0 | 25606 | 3.9836          | {'f1': 0.7704280155642025} | {'accuracy': 0.660594439117929}  |
| 0.0           | 1830.0 | 25620 | 3.9865          | {'f1': 0.7704280155642025} | {'accuracy': 0.660594439117929}  |
| 0.0           | 1831.0 | 25634 | 3.9890          | {'f1': 0.7704280155642025} | {'accuracy': 0.660594439117929}  |
| 0.0           | 1832.0 | 25648 | 3.9915          | {'f1': 0.7704280155642025} | {'accuracy': 0.660594439117929}  |
| 0.0           | 1833.0 | 25662 | 3.9943          | {'f1': 0.7704280155642025} | {'accuracy': 0.660594439117929}  |
| 0.0           | 1834.0 | 25676 | 3.9970          | {'f1': 0.7704280155642025} | {'accuracy': 0.660594439117929}  |
| 0.0           | 1835.0 | 25690 | 3.9998          | {'f1': 0.7704280155642025} | {'accuracy': 0.660594439117929}  |
| 0.0           | 1836.0 | 25704 | 4.0026          | {'f1': 0.7704280155642025} | {'accuracy': 0.660594439117929}  |
| 0.0           | 1837.0 | 25718 | 4.0050          | {'f1': 0.7704280155642025} | {'accuracy': 0.660594439117929}  |
| 0.0           | 1838.0 | 25732 | 4.0077          | {'f1': 0.7704280155642025} | {'accuracy': 0.660594439117929}  |
| 0.0           | 1839.0 | 25746 | 4.0103          | {'f1': 0.7704280155642025} | {'accuracy': 0.660594439117929}  |
| 0.0           | 1840.0 | 25760 | 4.0130          | {'f1': 0.7704280155642025} | {'accuracy': 0.660594439117929}  |
| 0.0           | 1841.0 | 25774 | 4.0156          | {'f1': 0.7704280155642025} | {'accuracy': 0.660594439117929}  |
| 0.0           | 1842.0 | 25788 | 4.0181          | {'f1': 0.7704280155642025} | {'accuracy': 0.660594439117929}  |
| 0.0           | 1843.0 | 25802 | 4.0205          | {'f1': 0.7704280155642025} | {'accuracy': 0.660594439117929}  |
| 0.0           | 1844.0 | 25816 | 4.0229          | {'f1': 0.7704280155642025} | {'accuracy': 0.660594439117929}  |
| 0.0           | 1845.0 | 25830 | 4.0252          | {'f1': 0.7704280155642025} | {'accuracy': 0.660594439117929}  |
| 0.0           | 1846.0 | 25844 | 4.0277          | {'f1': 0.7704280155642025} | {'accuracy': 0.660594439117929}  |
| 0.0           | 1847.0 | 25858 | 4.0301          | {'f1': 0.7704280155642025} | {'accuracy': 0.660594439117929}  |
| 0.0           | 1848.0 | 25872 | 4.0324          | {'f1': 0.7704280155642025} | {'accuracy': 0.660594439117929}  |
| 0.0           | 1849.0 | 25886 | 4.0351          | {'f1': 0.7704280155642025} | {'accuracy': 0.660594439117929}  |
| 0.0           | 1850.0 | 25900 | 4.0390          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1851.0 | 25914 | 4.0416          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1852.0 | 25928 | 4.0439          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1853.0 | 25942 | 4.0463          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1854.0 | 25956 | 4.0486          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1855.0 | 25970 | 4.0509          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1856.0 | 25984 | 4.0531          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1857.0 | 25998 | 4.0554          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1858.0 | 26012 | 4.0576          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1859.0 | 26026 | 4.0599          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1860.0 | 26040 | 4.0622          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1861.0 | 26054 | 4.0644          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1862.0 | 26068 | 4.0665          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1863.0 | 26082 | 4.0684          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1864.0 | 26096 | 4.0703          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1865.0 | 26110 | 4.0723          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1866.0 | 26124 | 4.0743          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1867.0 | 26138 | 4.0763          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1868.0 | 26152 | 4.0782          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1869.0 | 26166 | 4.0800          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1870.0 | 26180 | 4.0820          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1871.0 | 26194 | 4.0839          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1872.0 | 26208 | 4.0859          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1873.0 | 26222 | 4.0878          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1874.0 | 26236 | 4.0898          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1875.0 | 26250 | 4.0917          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1876.0 | 26264 | 4.0934          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1877.0 | 26278 | 4.0953          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1878.0 | 26292 | 4.0971          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1879.0 | 26306 | 4.0988          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1880.0 | 26320 | 4.1006          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1881.0 | 26334 | 4.1024          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1882.0 | 26348 | 4.1042          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1883.0 | 26362 | 4.1060          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1884.0 | 26376 | 4.1077          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1885.0 | 26390 | 4.1094          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1886.0 | 26404 | 4.1110          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1887.0 | 26418 | 4.1127          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1888.0 | 26432 | 4.1147          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1889.0 | 26446 | 4.1164          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1890.0 | 26460 | 4.1180          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1891.0 | 26474 | 4.1196          | {'f1': 0.7712248865845756} | {'accuracy': 0.6615532118887824} |
| 0.0           | 1892.0 | 26488 | 4.1252          | {'f1': 0.78428927680798}   | {'accuracy': 0.6682646212847555} |
| 0.0001        | 1893.0 | 26502 | 4.1287          | {'f1': 0.7883663366336634} | {'accuracy': 0.6720997123681688} |
| 0.0001        | 1894.0 | 26516 | 4.1285          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1895.0 | 26530 | 4.1300          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1896.0 | 26544 | 4.1316          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1897.0 | 26558 | 4.1330          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1898.0 | 26572 | 4.1345          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1899.0 | 26586 | 4.1360          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1900.0 | 26600 | 4.1378          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1901.0 | 26614 | 4.1393          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1902.0 | 26628 | 4.1407          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1903.0 | 26642 | 4.1422          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1904.0 | 26656 | 4.1437          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1905.0 | 26670 | 4.1450          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1906.0 | 26684 | 4.1463          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1907.0 | 26698 | 4.1476          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1908.0 | 26712 | 4.1489          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1909.0 | 26726 | 4.1502          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1910.0 | 26740 | 4.1516          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1911.0 | 26754 | 4.1529          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1912.0 | 26768 | 4.1542          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1913.0 | 26782 | 4.1554          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1914.0 | 26796 | 4.1566          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1915.0 | 26810 | 4.1578          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1916.0 | 26824 | 4.1591          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1917.0 | 26838 | 4.1602          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1918.0 | 26852 | 4.1613          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1919.0 | 26866 | 4.1625          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1920.0 | 26880 | 4.1637          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1921.0 | 26894 | 4.1648          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1922.0 | 26908 | 4.1659          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1923.0 | 26922 | 4.1670          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1924.0 | 26936 | 4.1682          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1925.0 | 26950 | 4.1693          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1926.0 | 26964 | 4.1705          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1927.0 | 26978 | 4.1716          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0001        | 1928.0 | 26992 | 4.1727          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0           | 1929.0 | 27006 | 4.1738          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0           | 1930.0 | 27020 | 4.1749          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0           | 1931.0 | 27034 | 4.1760          | {'f1': 0.7903822441430334} | {'accuracy': 0.6740172579098753} |
| 0.0           | 1932.0 | 27048 | 4.1736          | {'f1': 0.7888198757763976} | {'accuracy': 0.6740172579098753} |
| 0.0           | 1933.0 | 27062 | 4.1618          | {'f1': 0.7855361596009975} | {'accuracy': 0.6701821668264621} |
| 0.0           | 1934.0 | 27076 | 4.1596          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1935.0 | 27090 | 4.1599          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1936.0 | 27104 | 4.1607          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1937.0 | 27118 | 4.1616          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1938.0 | 27132 | 4.1625          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1939.0 | 27146 | 4.1634          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1940.0 | 27160 | 4.1642          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1941.0 | 27174 | 4.1651          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1942.0 | 27188 | 4.1659          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1943.0 | 27202 | 4.1667          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1944.0 | 27216 | 4.1676          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1945.0 | 27230 | 4.1686          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1946.0 | 27244 | 4.1694          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1947.0 | 27258 | 4.1702          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1948.0 | 27272 | 4.1709          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1949.0 | 27286 | 4.1717          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1950.0 | 27300 | 4.1724          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1951.0 | 27314 | 4.1731          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1952.0 | 27328 | 4.1738          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1953.0 | 27342 | 4.1745          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1954.0 | 27356 | 4.1752          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1955.0 | 27370 | 4.1759          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1956.0 | 27384 | 4.1765          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1957.0 | 27398 | 4.1772          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1958.0 | 27412 | 4.1779          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1959.0 | 27426 | 4.1786          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1960.0 | 27440 | 4.1792          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1961.0 | 27454 | 4.1798          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1962.0 | 27468 | 4.1803          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1963.0 | 27482 | 4.1809          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1964.0 | 27496 | 4.1815          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1965.0 | 27510 | 4.1821          | {'f1': 0.785}              | {'accuracy': 0.6701821668264621} |
| 0.0           | 1966.0 | 27524 | 4.1871          | {'f1': 0.785490931832395}  | {'accuracy': 0.6711409395973155} |
| 0.0           | 1967.0 | 27538 | 4.1892          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1968.0 | 27552 | 4.1897          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1969.0 | 27566 | 4.1902          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1970.0 | 27580 | 4.1906          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1971.0 | 27594 | 4.1911          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1972.0 | 27608 | 4.1915          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1973.0 | 27622 | 4.1919          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1974.0 | 27636 | 4.1923          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1975.0 | 27650 | 4.1927          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1976.0 | 27664 | 4.1930          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1977.0 | 27678 | 4.1934          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1978.0 | 27692 | 4.1937          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1979.0 | 27706 | 4.1940          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1980.0 | 27720 | 4.1944          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1981.0 | 27734 | 4.1947          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1982.0 | 27748 | 4.1950          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1983.0 | 27762 | 4.1952          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1984.0 | 27776 | 4.1955          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1985.0 | 27790 | 4.1957          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1986.0 | 27804 | 4.1960          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1987.0 | 27818 | 4.1962          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1988.0 | 27832 | 4.1964          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1989.0 | 27846 | 4.1966          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1990.0 | 27860 | 4.1967          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1991.0 | 27874 | 4.1969          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1992.0 | 27888 | 4.1970          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1993.0 | 27902 | 4.1971          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1994.0 | 27916 | 4.1973          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1995.0 | 27930 | 4.1973          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1996.0 | 27944 | 4.1974          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1997.0 | 27958 | 4.1975          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1998.0 | 27972 | 4.1975          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 1999.0 | 27986 | 4.1975          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |
| 0.0           | 2000.0 | 28000 | 4.1976          | {'f1': 0.7852222917971196} | {'accuracy': 0.6711409395973155} |


### Framework versions

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