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_107
  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_107

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: 4.8422
- F1: {'f1': 0.8146370725854829}
- Accuracy: {'accuracy': 0.7037392138063279}

## 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    | 7     | 0.6308          | {'f1': 0.8072009291521488} | {'accuracy': 0.6816874400767018} |
| No log        | 2.0    | 14    | 0.6722          | {'f1': 0.8186469584991471} | {'accuracy': 0.6941514860977949} |
| No log        | 3.0    | 21    | 0.6415          | {'f1': 0.8111239860950175} | {'accuracy': 0.6874400767018217} |
| No log        | 4.0    | 28    | 0.8090          | {'f1': 0.7658755612572161} | {'accuracy': 0.6500479386385427} |
| No log        | 5.0    | 35    | 1.2079          | {'f1': 0.810244470314319}  | {'accuracy': 0.6874400767018217} |
| No log        | 6.0    | 42    | 1.3409          | {'f1': 0.8104956268221575} | {'accuracy': 0.6883988494726749} |
| No log        | 7.0    | 49    | 1.1925          | {'f1': 0.7536813922356091} | {'accuracy': 0.6471716203259827} |
| No log        | 8.0    | 56    | 1.5031          | {'f1': 0.8132930513595167} | {'accuracy': 0.7037392138063279} |
| No log        | 9.0    | 63    | 1.6535          | {'f1': 0.810126582278481}  | {'accuracy': 0.697986577181208}  |
| No log        | 10.0   | 70    | 1.8059          | {'f1': 0.7947598253275109} | {'accuracy': 0.6845637583892618} |
| No log        | 11.0   | 77    | 2.1412          | {'f1': 0.7772087067861716} | {'accuracy': 0.6663470757430489} |
| No log        | 12.0   | 84    | 2.5238          | {'f1': 0.8089887640449438} | {'accuracy': 0.6903163950143816} |
| No log        | 13.0   | 91    | 2.0715          | {'f1': 0.764}              | {'accuracy': 0.660594439117929}  |
| No log        | 14.0   | 98    | 2.2280          | {'f1': 0.7985392574558734} | {'accuracy': 0.6826462128475551} |
| No log        | 15.0   | 105   | 2.1952          | {'f1': 0.7785577536694321} | {'accuracy': 0.6673058485139022} |
| No log        | 16.0   | 112   | 2.5146          | {'f1': 0.8098303101228789} | {'accuracy': 0.6883988494726749} |
| No log        | 17.0   | 119   | 2.4347          | {'f1': 0.7007407407407408} | {'accuracy': 0.6126558005752637} |
| No log        | 18.0   | 126   | 2.3472          | {'f1': 0.8197674418604651} | {'accuracy': 0.7027804410354745} |
| No log        | 19.0   | 133   | 1.6770          | {'f1': 0.7657597876575978} | {'accuracy': 0.6615532118887824} |
| No log        | 20.0   | 140   | 1.9552          | {'f1': 0.8014616321559075} | {'accuracy': 0.6874400767018217} |
| No log        | 21.0   | 147   | 2.0672          | {'f1': 0.7898326100433974} | {'accuracy': 0.6749760306807286} |
| No log        | 22.0   | 154   | 2.1661          | {'f1': 0.7518493611297916} | {'accuracy': 0.6462128475551294} |
| No log        | 23.0   | 161   | 2.2302          | {'f1': 0.7783439490445861} | {'accuracy': 0.6663470757430489} |
| No log        | 24.0   | 168   | 2.2864          | {'f1': 0.7772756617172369} | {'accuracy': 0.6692233940556088} |
| No log        | 25.0   | 175   | 2.3895          | {'f1': 0.7693315858453472} | {'accuracy': 0.6625119846596357} |
| No log        | 26.0   | 182   | 2.7993          | {'f1': 0.8086600351082504} | {'accuracy': 0.6864813039309684} |
| No log        | 27.0   | 189   | 2.4181          | {'f1': 0.795525170913611}  | {'accuracy': 0.6845637583892618} |
| No log        | 28.0   | 196   | 2.2662          | {'f1': 0.7619680851063829} | {'accuracy': 0.6567593480345159} |
| No log        | 29.0   | 203   | 2.2569          | {'f1': 0.773142112125163}  | {'accuracy': 0.6663470757430489} |
| No log        | 30.0   | 210   | 2.3350          | {'f1': 0.7945034353529045} | {'accuracy': 0.6845637583892618} |
| No log        | 31.0   | 217   | 2.4660          | {'f1': 0.8004851425106124} | {'accuracy': 0.6845637583892618} |
| No log        | 32.0   | 224   | 2.5017          | {'f1': 0.7999999999999999} | {'accuracy': 0.6836049856184084} |
| No log        | 33.0   | 231   | 2.4327          | {'f1': 0.7857596948506039} | {'accuracy': 0.6768935762224353} |
| No log        | 34.0   | 238   | 2.4516          | {'f1': 0.7729342875731946} | {'accuracy': 0.6653883029721956} |
| No log        | 35.0   | 245   | 2.4851          | {'f1': 0.7725490196078432} | {'accuracy': 0.6663470757430489} |
| No log        | 36.0   | 252   | 2.5146          | {'f1': 0.7751134154244976} | {'accuracy': 0.6673058485139022} |
| No log        | 37.0   | 259   | 2.6614          | {'f1': 0.8055893074119077} | {'accuracy': 0.6931927133269415} |
| No log        | 38.0   | 266   | 2.7001          | {'f1': 0.7345505617977527} | {'accuracy': 0.6375838926174496} |
| No log        | 39.0   | 273   | 2.6794          | {'f1': 0.7286713286713286} | {'accuracy': 0.6279961649089166} |
| No log        | 40.0   | 280   | 2.6036          | {'f1': 0.7627230667547917} | {'accuracy': 0.6558005752636625} |
| No log        | 41.0   | 287   | 2.5850          | {'f1': 0.7849393746011487} | {'accuracy': 0.6768935762224353} |
| No log        | 42.0   | 294   | 2.5937          | {'f1': 0.7893738140417458} | {'accuracy': 0.6807286673058485} |
| No log        | 43.0   | 301   | 2.6086          | {'f1': 0.7949843260188089} | {'accuracy': 0.6864813039309684} |
| No log        | 44.0   | 308   | 2.6312          | {'f1': 0.7952706907280648} | {'accuracy': 0.6845637583892618} |
| No log        | 45.0   | 315   | 2.6497          | {'f1': 0.795765877957659}  | {'accuracy': 0.6855225311601151} |
| No log        | 46.0   | 322   | 2.6657          | {'f1': 0.7929736511919698} | {'accuracy': 0.6836049856184084} |
| No log        | 47.0   | 329   | 2.6802          | {'f1': 0.7916928886091882} | {'accuracy': 0.6826462128475551} |
| No log        | 48.0   | 336   | 2.6926          | {'f1': 0.7901701323251417} | {'accuracy': 0.6807286673058485} |
| No log        | 49.0   | 343   | 2.7032          | {'f1': 0.7901701323251417} | {'accuracy': 0.6807286673058485} |
| No log        | 50.0   | 350   | 2.7119          | {'f1': 0.7909319899244333} | {'accuracy': 0.6816874400767018} |
| No log        | 51.0   | 357   | 2.7591          | {'f1': 0.7627906976744185} | {'accuracy': 0.6577181208053692} |
| No log        | 52.0   | 364   | 2.6638          | {'f1': 0.7969543147208121} | {'accuracy': 0.6931927133269415} |
| No log        | 53.0   | 371   | 2.7258          | {'f1': 0.8111718275652702} | {'accuracy': 0.7018216682646213} |
| No log        | 54.0   | 378   | 2.5491          | {'f1': 0.7729403884795712} | {'accuracy': 0.6749760306807286} |
| No log        | 55.0   | 385   | 2.8775          | {'f1': 0.8193883439122909} | {'accuracy': 0.6999041227229147} |
| No log        | 56.0   | 392   | 2.0953          | {'f1': 0.7896070975918885} | {'accuracy': 0.6816874400767018} |
| No log        | 57.0   | 399   | 1.7301          | {'f1': 0.8012578616352202} | {'accuracy': 0.6970278044103547} |
| No log        | 58.0   | 406   | 1.7765          | {'f1': 0.8147254073627037} | {'accuracy': 0.7056567593480345} |
| No log        | 59.0   | 413   | 1.6425          | {'f1': 0.7984445884640311} | {'accuracy': 0.7018216682646213} |
| No log        | 60.0   | 420   | 1.8722          | {'f1': 0.8066368857689854} | {'accuracy': 0.7094918504314478} |
| No log        | 61.0   | 427   | 2.3662          | {'f1': 0.8167664670658682} | {'accuracy': 0.7066155321188878} |
| No log        | 62.0   | 434   | 2.3583          | {'f1': 0.8107448107448108} | {'accuracy': 0.7027804410354745} |
| No log        | 63.0   | 441   | 2.3069          | {'f1': 0.8052763819095478} | {'accuracy': 0.7027804410354745} |
| No log        | 64.0   | 448   | 2.3409          | {'f1': 0.802555910543131}  | {'accuracy': 0.7037392138063279} |
| No log        | 65.0   | 455   | 2.4041          | {'f1': 0.8038216560509553} | {'accuracy': 0.7046979865771812} |
| No log        | 66.0   | 462   | 2.4409          | {'f1': 0.8038095238095239} | {'accuracy': 0.7037392138063279} |
| No log        | 67.0   | 469   | 2.4650          | {'f1': 0.8048162230671737} | {'accuracy': 0.7046979865771812} |
| No log        | 68.0   | 476   | 2.4834          | {'f1': 0.8045540796963947} | {'accuracy': 0.7037392138063279} |
| No log        | 69.0   | 483   | 2.5166          | {'f1': 0.8017621145374451} | {'accuracy': 0.697986577181208}  |
| No log        | 70.0   | 490   | 2.5793          | {'f1': 0.8046971569839309} | {'accuracy': 0.6970278044103547} |
| No log        | 71.0   | 497   | 2.4983          | {'f1': 0.806045340050378}  | {'accuracy': 0.7046979865771812} |
| 0.054         | 72.0   | 504   | 2.4453          | {'f1': 0.8077170418006431} | {'accuracy': 0.713326941514861}  |
| 0.054         | 73.0   | 511   | 2.4421          | {'f1': 0.8044184535412605} | {'accuracy': 0.7114093959731543} |
| 0.054         | 74.0   | 518   | 2.4477          | {'f1': 0.8013071895424836} | {'accuracy': 0.7085330776605945} |
| 0.054         | 75.0   | 525   | 2.5000          | {'f1': 0.8095537397862981} | {'accuracy': 0.7094918504314478} |
| 0.054         | 76.0   | 532   | 2.5767          | {'f1': 0.8113790970933827} | {'accuracy': 0.7075743048897412} |
| 0.054         | 77.0   | 539   | 2.6187          | {'f1': 0.8120393120393121} | {'accuracy': 0.7066155321188878} |
| 0.054         | 78.0   | 546   | 2.6423          | {'f1': 0.8129981606376455} | {'accuracy': 0.7075743048897412} |
| 0.054         | 79.0   | 553   | 2.6559          | {'f1': 0.814451928965095}  | {'accuracy': 0.7094918504314478} |
| 0.054         | 80.0   | 560   | 2.6642          | {'f1': 0.814451928965095}  | {'accuracy': 0.7094918504314478} |
| 0.054         | 81.0   | 567   | 2.6704          | {'f1': 0.814451928965095}  | {'accuracy': 0.7094918504314478} |
| 0.054         | 82.0   | 574   | 2.6752          | {'f1': 0.814451928965095}  | {'accuracy': 0.7094918504314478} |
| 0.054         | 83.0   | 581   | 2.6794          | {'f1': 0.814451928965095}  | {'accuracy': 0.7094918504314478} |
| 0.054         | 84.0   | 588   | 2.6837          | {'f1': 0.814451928965095}  | {'accuracy': 0.7094918504314478} |
| 0.054         | 85.0   | 595   | 2.6456          | {'f1': 0.8121137206427689} | {'accuracy': 0.7085330776605945} |
| 0.054         | 86.0   | 602   | 2.6218          | {'f1': 0.8099688473520249} | {'accuracy': 0.7075743048897412} |
| 0.054         | 87.0   | 609   | 2.6126          | {'f1': 0.81}               | {'accuracy': 0.7085330776605945} |
| 0.054         | 88.0   | 616   | 2.6105          | {'f1': 0.8107769423558898} | {'accuracy': 0.710450623202301}  |
| 0.054         | 89.0   | 623   | 2.6131          | {'f1': 0.8097928436911487} | {'accuracy': 0.7094918504314478} |
| 0.054         | 90.0   | 630   | 2.6170          | {'f1': 0.8097928436911487} | {'accuracy': 0.7094918504314478} |
| 0.054         | 91.0   | 637   | 2.6215          | {'f1': 0.8103015075376885} | {'accuracy': 0.710450623202301}  |
| 0.054         | 92.0   | 644   | 2.6261          | {'f1': 0.8103015075376885} | {'accuracy': 0.710450623202301}  |
| 0.054         | 93.0   | 651   | 2.6308          | {'f1': 0.8103015075376885} | {'accuracy': 0.710450623202301}  |
| 0.054         | 94.0   | 658   | 2.6357          | {'f1': 0.8097928436911487} | {'accuracy': 0.7094918504314478} |
| 0.054         | 95.0   | 665   | 2.6404          | {'f1': 0.8105395232120451} | {'accuracy': 0.710450623202301}  |
| 0.054         | 96.0   | 672   | 2.6450          | {'f1': 0.8105395232120451} | {'accuracy': 0.710450623202301}  |
| 0.054         | 97.0   | 679   | 2.6494          | {'f1': 0.8105395232120451} | {'accuracy': 0.710450623202301}  |
| 0.054         | 98.0   | 686   | 2.6534          | {'f1': 0.8105395232120451} | {'accuracy': 0.710450623202301}  |
| 0.054         | 99.0   | 693   | 2.6576          | {'f1': 0.8105395232120451} | {'accuracy': 0.710450623202301}  |
| 0.054         | 100.0  | 700   | 2.6620          | {'f1': 0.8107769423558898} | {'accuracy': 0.710450623202301}  |
| 0.054         | 101.0  | 707   | 2.6660          | {'f1': 0.8107769423558898} | {'accuracy': 0.710450623202301}  |
| 0.054         | 102.0  | 714   | 2.6706          | {'f1': 0.8107769423558898} | {'accuracy': 0.710450623202301}  |
| 0.054         | 103.0  | 721   | 2.6749          | {'f1': 0.8102692548528492} | {'accuracy': 0.7094918504314478} |
| 0.054         | 104.0  | 728   | 2.6794          | {'f1': 0.8097622027534418} | {'accuracy': 0.7085330776605945} |
| 0.054         | 105.0  | 735   | 2.6841          | {'f1': 0.8097622027534418} | {'accuracy': 0.7085330776605945} |
| 0.054         | 106.0  | 742   | 2.6889          | {'f1': 0.8097622027534418} | {'accuracy': 0.7085330776605945} |
| 0.054         | 107.0  | 749   | 2.6928          | {'f1': 0.8097622027534418} | {'accuracy': 0.7085330776605945} |
| 0.054         | 108.0  | 756   | 2.7015          | {'f1': 0.8105065666041276} | {'accuracy': 0.7094918504314478} |
| 0.054         | 109.0  | 763   | 2.7076          | {'f1': 0.81}               | {'accuracy': 0.7085330776605945} |
| 0.054         | 110.0  | 770   | 2.7125          | {'f1': 0.81}               | {'accuracy': 0.7085330776605945} |
| 0.054         | 111.0  | 777   | 2.7169          | {'f1': 0.81}               | {'accuracy': 0.7085330776605945} |
| 0.054         | 112.0  | 784   | 2.7207          | {'f1': 0.81}               | {'accuracy': 0.7085330776605945} |
| 0.054         | 113.0  | 791   | 2.7242          | {'f1': 0.81}               | {'accuracy': 0.7085330776605945} |
| 0.054         | 114.0  | 798   | 2.7278          | {'f1': 0.81}               | {'accuracy': 0.7085330776605945} |
| 0.054         | 115.0  | 805   | 2.7315          | {'f1': 0.81}               | {'accuracy': 0.7085330776605945} |
| 0.054         | 116.0  | 812   | 2.7356          | {'f1': 0.8094940662086196} | {'accuracy': 0.7075743048897412} |
| 0.054         | 117.0  | 819   | 2.7398          | {'f1': 0.8094940662086196} | {'accuracy': 0.7075743048897412} |
| 0.054         | 118.0  | 826   | 2.7439          | {'f1': 0.8094940662086196} | {'accuracy': 0.7075743048897412} |
| 0.054         | 119.0  | 833   | 2.7477          | {'f1': 0.8089887640449438} | {'accuracy': 0.7066155321188878} |
| 0.054         | 120.0  | 840   | 2.7516          | {'f1': 0.8089887640449438} | {'accuracy': 0.7066155321188878} |
| 0.054         | 121.0  | 847   | 2.7549          | {'f1': 0.8089887640449438} | {'accuracy': 0.7066155321188878} |
| 0.054         | 122.0  | 854   | 2.7587          | {'f1': 0.8089887640449438} | {'accuracy': 0.7066155321188878} |
| 0.054         | 123.0  | 861   | 2.7645          | {'f1': 0.8089887640449438} | {'accuracy': 0.7066155321188878} |
| 0.054         | 124.0  | 868   | 2.7735          | {'f1': 0.8092269326683292} | {'accuracy': 0.7066155321188878} |
| 0.054         | 125.0  | 875   | 2.7812          | {'f1': 0.8092269326683292} | {'accuracy': 0.7066155321188878} |
| 0.054         | 126.0  | 882   | 2.7944          | {'f1': 0.8089607965152458} | {'accuracy': 0.7056567593480345} |
| 0.054         | 127.0  | 889   | 2.8023          | {'f1': 0.8079552517091361} | {'accuracy': 0.7037392138063279} |
| 0.054         | 128.0  | 896   | 2.8077          | {'f1': 0.8086956521739131} | {'accuracy': 0.7046979865771812} |
| 0.054         | 129.0  | 903   | 2.8116          | {'f1': 0.8086956521739131} | {'accuracy': 0.7046979865771812} |
| 0.054         | 130.0  | 910   | 2.8152          | {'f1': 0.8086956521739131} | {'accuracy': 0.7046979865771812} |
| 0.054         | 131.0  | 917   | 2.8183          | {'f1': 0.8086956521739131} | {'accuracy': 0.7046979865771812} |
| 0.054         | 132.0  | 924   | 2.8213          | {'f1': 0.8094351334574797} | {'accuracy': 0.7056567593480345} |
| 0.054         | 133.0  | 931   | 2.8245          | {'f1': 0.8094351334574797} | {'accuracy': 0.7056567593480345} |
| 0.054         | 134.0  | 938   | 2.8278          | {'f1': 0.8094351334574797} | {'accuracy': 0.7056567593480345} |
| 0.054         | 135.0  | 945   | 2.8313          | {'f1': 0.8094351334574797} | {'accuracy': 0.7056567593480345} |
| 0.054         | 136.0  | 952   | 2.8345          | {'f1': 0.8094351334574797} | {'accuracy': 0.7056567593480345} |
| 0.054         | 137.0  | 959   | 2.8375          | {'f1': 0.8094351334574797} | {'accuracy': 0.7056567593480345} |
| 0.054         | 138.0  | 966   | 2.8408          | {'f1': 0.8094351334574797} | {'accuracy': 0.7056567593480345} |
| 0.054         | 139.0  | 973   | 2.8438          | {'f1': 0.8094351334574797} | {'accuracy': 0.7056567593480345} |
| 0.054         | 140.0  | 980   | 2.8466          | {'f1': 0.8094351334574797} | {'accuracy': 0.7056567593480345} |
| 0.054         | 141.0  | 987   | 2.8492          | {'f1': 0.8094351334574797} | {'accuracy': 0.7056567593480345} |
| 0.054         | 142.0  | 994   | 2.8519          | {'f1': 0.8089330024813897} | {'accuracy': 0.7046979865771812} |
| 0.0           | 143.0  | 1001  | 2.8546          | {'f1': 0.8096714197148172} | {'accuracy': 0.7056567593480345} |
| 0.0           | 144.0  | 1008  | 2.8573          | {'f1': 0.8096714197148172} | {'accuracy': 0.7056567593480345} |
| 0.0           | 145.0  | 1015  | 2.8600          | {'f1': 0.8096714197148172} | {'accuracy': 0.7056567593480345} |
| 0.0           | 146.0  | 1022  | 3.0634          | {'f1': 0.7519884309472161} | {'accuracy': 0.6711409395973155} |
| 0.0           | 147.0  | 1029  | 2.6447          | {'f1': 0.81}               | {'accuracy': 0.7085330776605945} |
| 0.0           | 148.0  | 1036  | 2.8889          | {'f1': 0.8230452674897119} | {'accuracy': 0.7114093959731543} |
| 0.0           | 149.0  | 1043  | 2.1697          | {'f1': 0.8131720430107527} | {'accuracy': 0.7334611697027804} |
| 0.0           | 150.0  | 1050  | 2.1318          | {'f1': 0.8240291262135921} | {'accuracy': 0.7219558964525408} |
| 0.0           | 151.0  | 1057  | 1.4035          | {'f1': 0.8054474708171206} | {'accuracy': 0.7123681687440077} |
| 0.0           | 152.0  | 1064  | 1.6932          | {'f1': 0.8216216216216216} | {'accuracy': 0.7152444870565676} |
| 0.0           | 153.0  | 1071  | 1.9637          | {'f1': 0.737294201861131}  | {'accuracy': 0.6481303930968361} |
| 0.0           | 154.0  | 1078  | 2.5085          | {'f1': 0.8169668797210924} | {'accuracy': 0.697986577181208}  |
| 0.0           | 155.0  | 1085  | 2.1312          | {'f1': 0.7906976744186046} | {'accuracy': 0.6807286673058485} |
| 0.0           | 156.0  | 1092  | 1.6788          | {'f1': 0.7508350033400133} | {'accuracy': 0.6423777564717162} |
| 0.0           | 157.0  | 1099  | 1.6363          | {'f1': 0.8164196123147092} | {'accuracy': 0.6912751677852349} |
| 0.0           | 158.0  | 1106  | 1.7953          | {'f1': 0.803921568627451}  | {'accuracy': 0.6931927133269415} |
| 0.0           | 159.0  | 1113  | 2.7819          | {'f1': 0.6291946308724833} | {'accuracy': 0.576222435282838}  |
| 0.0           | 160.0  | 1120  | 2.6308          | {'f1': 0.8154111558366878} | {'accuracy': 0.6922339405560882} |
| 0.0           | 161.0  | 1127  | 1.8606          | {'f1': 0.7402777777777777} | {'accuracy': 0.6414189837008629} |
| 0.0           | 162.0  | 1134  | 1.9468          | {'f1': 0.8004910988336403} | {'accuracy': 0.6883988494726749} |
| 0.0           | 163.0  | 1141  | 2.0791          | {'f1': 0.7952261306532664} | {'accuracy': 0.6874400767018217} |
| 0.0           | 164.0  | 1148  | 2.3288          | {'f1': 0.8084592145015107} | {'accuracy': 0.6960690316395014} |
| 0.0           | 165.0  | 1155  | 2.3496          | {'f1': 0.7272727272727273} | {'accuracy': 0.6375838926174496} |
| 0.0           | 166.0  | 1162  | 2.2841          | {'f1': 0.8012195121951221} | {'accuracy': 0.6874400767018217} |
| 0.0           | 167.0  | 1169  | 2.3575          | {'f1': 0.8014660965180209} | {'accuracy': 0.6883988494726749} |
| 0.0           | 168.0  | 1176  | 2.2772          | {'f1': 0.7770700636942676} | {'accuracy': 0.6644295302013423} |
| 0.0           | 169.0  | 1183  | 2.1862          | {'f1': 0.7342123525329632} | {'accuracy': 0.6327900287631831} |
| 0.0           | 170.0  | 1190  | 2.3155          | {'f1': 0.7983293556085919} | {'accuracy': 0.675934803451582}  |
| 0.0           | 171.0  | 1197  | 2.1466          | {'f1': 0.7573726541554959} | {'accuracy': 0.6529242569511026} |
| 0.0           | 172.0  | 1204  | 2.3600          | {'f1': 0.8057901085645357} | {'accuracy': 0.6912751677852349} |
| 0.0           | 173.0  | 1211  | 2.3084          | {'f1': 0.796558082360172}  | {'accuracy': 0.6826462128475551} |
| 0.0           | 174.0  | 1218  | 1.8462          | {'f1': 0.7369155617585484} | {'accuracy': 0.638542665388303}  |
| 0.0           | 175.0  | 1225  | 1.6526          | {'f1': 0.7948874010955569} | {'accuracy': 0.6768935762224353} |
| 0.0           | 176.0  | 1232  | 1.7791          | {'f1': 0.7613412228796844} | {'accuracy': 0.6519654841802492} |
| 0.0           | 177.0  | 1239  | 2.3374          | {'f1': 0.7914893617021277} | {'accuracy': 0.6711409395973155} |
| 0.0           | 178.0  | 1246  | 2.9717          | {'f1': 0.8158803222094362} | {'accuracy': 0.6931927133269415} |
| 0.0           | 179.0  | 1253  | 3.0262          | {'f1': 0.7995198079231692} | {'accuracy': 0.6797698945349953} |
| 0.0           | 180.0  | 1260  | 2.8010          | {'f1': 0.7811271297509829} | {'accuracy': 0.6797698945349953} |
| 0.0           | 181.0  | 1267  | 2.8533          | {'f1': 0.7992471769134253} | {'accuracy': 0.6931927133269415} |
| 0.0           | 182.0  | 1274  | 3.0398          | {'f1': 0.8107462686567165} | {'accuracy': 0.6960690316395014} |
| 0.0           | 183.0  | 1281  | 2.7426          | {'f1': 0.7588555858310626} | {'accuracy': 0.660594439117929}  |
| 0.0           | 184.0  | 1288  | 2.6932          | {'f1': 0.7929292929292929} | {'accuracy': 0.6855225311601151} |
| 0.0           | 185.0  | 1295  | 2.8641          | {'f1': 0.8174322732626619} | {'accuracy': 0.7027804410354745} |
| 0.0           | 186.0  | 1302  | 2.4881          | {'f1': 0.8031882280809319} | {'accuracy': 0.6922339405560882} |
| 0.0           | 187.0  | 1309  | 2.1634          | {'f1': 0.7731755424063116} | {'accuracy': 0.6692233940556088} |
| 0.0           | 188.0  | 1316  | 2.1238          | {'f1': 0.7844660194174757} | {'accuracy': 0.6807286673058485} |
| 0.0           | 189.0  | 1323  | 2.5103          | {'f1': 0.8187683284457478} | {'accuracy': 0.7037392138063279} |
| 0.0           | 190.0  | 1330  | 1.9588          | {'f1': 0.807906114885732}  | {'accuracy': 0.7018216682646213} |
| 0.0           | 191.0  | 1337  | 1.9148          | {'f1': 0.7457386363636365} | {'accuracy': 0.6567593480345159} |
| 0.0           | 192.0  | 1344  | 2.0834          | {'f1': 0.7932598833441349} | {'accuracy': 0.6941514860977949} |
| 0.0           | 193.0  | 1351  | 2.5040          | {'f1': 0.8147254073627037} | {'accuracy': 0.7056567593480345} |
| 0.0           | 194.0  | 1358  | 2.7472          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 195.0  | 1365  | 2.8609          | {'f1': 0.8167848699763594} | {'accuracy': 0.7027804410354745} |
| 0.0           | 196.0  | 1372  | 2.9193          | {'f1': 0.8190925162050677} | {'accuracy': 0.7056567593480345} |
| 0.0           | 197.0  | 1379  | 2.9513          | {'f1': 0.8200000000000001} | {'accuracy': 0.7066155321188878} |
| 0.0           | 198.0  | 1386  | 2.9704          | {'f1': 0.8200000000000001} | {'accuracy': 0.7066155321188878} |
| 0.0           | 199.0  | 1393  | 2.9722          | {'f1': 0.8188790560471976} | {'accuracy': 0.7056567593480345} |
| 0.0           | 200.0  | 1400  | 2.9725          | {'f1': 0.8172678888231816} | {'accuracy': 0.7037392138063279} |
| 0.0           | 201.0  | 1407  | 2.9771          | {'f1': 0.817751479289941}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 202.0  | 1414  | 2.9824          | {'f1': 0.8168346176644932} | {'accuracy': 0.7037392138063279} |
| 0.0           | 203.0  | 1421  | 2.9881          | {'f1': 0.8161328588374852} | {'accuracy': 0.7027804410354745} |
| 0.0           | 204.0  | 1428  | 2.9944          | {'f1': 0.8161328588374852} | {'accuracy': 0.7027804410354745} |
| 0.0           | 205.0  | 1435  | 3.0004          | {'f1': 0.8161328588374852} | {'accuracy': 0.7027804410354745} |
| 0.0           | 206.0  | 1442  | 3.0061          | {'f1': 0.8154302670623145} | {'accuracy': 0.7018216682646213} |
| 0.0           | 207.0  | 1449  | 3.0114          | {'f1': 0.8154302670623145} | {'accuracy': 0.7018216682646213} |
| 0.0           | 208.0  | 1456  | 3.0170          | {'f1': 0.8147268408551069} | {'accuracy': 0.700862895493768}  |
| 0.0           | 209.0  | 1463  | 3.0225          | {'f1': 0.814022578728461}  | {'accuracy': 0.6999041227229147} |
| 0.0           | 210.0  | 1470  | 3.0276          | {'f1': 0.814022578728461}  | {'accuracy': 0.6999041227229147} |
| 0.0           | 211.0  | 1477  | 3.0328          | {'f1': 0.814022578728461}  | {'accuracy': 0.6999041227229147} |
| 0.0           | 212.0  | 1484  | 3.0372          | {'f1': 0.814022578728461}  | {'accuracy': 0.6999041227229147} |
| 0.0           | 213.0  | 1491  | 3.0415          | {'f1': 0.814022578728461}  | {'accuracy': 0.6999041227229147} |
| 0.0           | 214.0  | 1498  | 3.0459          | {'f1': 0.814022578728461}  | {'accuracy': 0.6999041227229147} |
| 0.0348        | 215.0  | 1505  | 3.0503          | {'f1': 0.814022578728461}  | {'accuracy': 0.6999041227229147} |
| 0.0348        | 216.0  | 1512  | 3.0547          | {'f1': 0.814022578728461}  | {'accuracy': 0.6999041227229147} |
| 0.0348        | 217.0  | 1519  | 3.0589          | {'f1': 0.814022578728461}  | {'accuracy': 0.6999041227229147} |
| 0.0348        | 218.0  | 1526  | 3.0631          | {'f1': 0.814022578728461}  | {'accuracy': 0.6999041227229147} |
| 0.0348        | 219.0  | 1533  | 3.0672          | {'f1': 0.8133174791914387} | {'accuracy': 0.6989453499520614} |
| 0.0348        | 220.0  | 1540  | 3.0714          | {'f1': 0.8138013087447948} | {'accuracy': 0.6999041227229147} |
| 0.0348        | 221.0  | 1547  | 3.0755          | {'f1': 0.8138013087447948} | {'accuracy': 0.6999041227229147} |
| 0.0348        | 222.0  | 1554  | 3.0797          | {'f1': 0.8130952380952382} | {'accuracy': 0.6989453499520614} |
| 0.0348        | 223.0  | 1561  | 3.0837          | {'f1': 0.8130952380952382} | {'accuracy': 0.6989453499520614} |
| 0.0348        | 224.0  | 1568  | 3.0875          | {'f1': 0.8130952380952382} | {'accuracy': 0.6989453499520614} |
| 0.0348        | 225.0  | 1575  | 3.0916          | {'f1': 0.8130952380952382} | {'accuracy': 0.6989453499520614} |
| 0.0348        | 226.0  | 1582  | 3.0955          | {'f1': 0.8130952380952382} | {'accuracy': 0.6989453499520614} |
| 0.0348        | 227.0  | 1589  | 3.0994          | {'f1': 0.8130952380952382} | {'accuracy': 0.6989453499520614} |
| 0.0348        | 228.0  | 1596  | 3.0427          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0348        | 229.0  | 1603  | 3.0085          | {'f1': 0.8164251207729468} | {'accuracy': 0.7085330776605945} |
| 0.0348        | 230.0  | 1610  | 2.9944          | {'f1': 0.8138265615524559} | {'accuracy': 0.7056567593480345} |
| 0.0348        | 231.0  | 1617  | 2.9894          | {'f1': 0.8143203883495146} | {'accuracy': 0.7066155321188878} |
| 0.0348        | 232.0  | 1624  | 2.9885          | {'f1': 0.8140947752126367} | {'accuracy': 0.7066155321188878} |
| 0.0348        | 233.0  | 1631  | 2.9895          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 234.0  | 1638  | 2.9914          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 235.0  | 1645  | 2.9938          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 236.0  | 1652  | 2.9962          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 237.0  | 1659  | 2.9988          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 238.0  | 1666  | 3.0014          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 239.0  | 1673  | 3.0041          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 240.0  | 1680  | 3.0068          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 241.0  | 1687  | 3.0094          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 242.0  | 1694  | 3.0121          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 243.0  | 1701  | 3.0148          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 244.0  | 1708  | 3.0176          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 245.0  | 1715  | 3.0204          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 246.0  | 1722  | 3.0232          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 247.0  | 1729  | 3.0258          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 248.0  | 1736  | 3.0283          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 249.0  | 1743  | 3.0308          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 250.0  | 1750  | 3.0332          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 251.0  | 1757  | 3.0355          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 252.0  | 1764  | 3.0379          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 253.0  | 1771  | 3.0402          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 254.0  | 1778  | 3.0426          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 255.0  | 1785  | 3.0452          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 256.0  | 1792  | 3.0477          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 257.0  | 1799  | 3.0502          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 258.0  | 1806  | 3.0524          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 259.0  | 1813  | 3.0545          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 260.0  | 1820  | 3.0567          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 261.0  | 1827  | 3.0591          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 262.0  | 1834  | 3.0615          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 263.0  | 1841  | 3.0637          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 264.0  | 1848  | 3.0660          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 265.0  | 1855  | 3.0682          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 266.0  | 1862  | 3.0706          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 267.0  | 1869  | 3.0729          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 268.0  | 1876  | 3.0752          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 269.0  | 1883  | 3.0773          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 270.0  | 1890  | 3.0795          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 271.0  | 1897  | 3.0817          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 272.0  | 1904  | 3.0841          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 273.0  | 1911  | 3.0863          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0348        | 274.0  | 1918  | 3.0886          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0348        | 275.0  | 1925  | 3.0908          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0348        | 276.0  | 1932  | 3.0931          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0348        | 277.0  | 1939  | 3.0953          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0348        | 278.0  | 1946  | 3.0975          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0348        | 279.0  | 1953  | 3.0996          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0348        | 280.0  | 1960  | 3.1021          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0348        | 281.0  | 1967  | 3.1044          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0348        | 282.0  | 1974  | 3.1066          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 283.0  | 1981  | 3.1088          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0348        | 284.0  | 1988  | 3.1111          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0348        | 285.0  | 1995  | 3.1133          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0           | 286.0  | 2002  | 3.1154          | {'f1': 0.8145896656534956} | {'accuracy': 0.7075743048897412} |
| 0.0           | 287.0  | 2009  | 3.1173          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 288.0  | 2016  | 3.1192          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 289.0  | 2023  | 3.1211          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 290.0  | 2030  | 3.1231          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 291.0  | 2037  | 3.1251          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 292.0  | 2044  | 3.1270          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 293.0  | 2051  | 3.1291          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 294.0  | 2058  | 3.1312          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 295.0  | 2065  | 3.1331          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 296.0  | 2072  | 3.1350          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 297.0  | 2079  | 3.1369          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 298.0  | 2086  | 3.1388          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 299.0  | 2093  | 3.1408          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 300.0  | 2100  | 3.1428          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 301.0  | 2107  | 3.1447          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 302.0  | 2114  | 3.1466          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 303.0  | 2121  | 3.1488          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 304.0  | 2128  | 3.1509          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 305.0  | 2135  | 3.1529          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 306.0  | 2142  | 3.1549          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 307.0  | 2149  | 3.1568          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 308.0  | 2156  | 3.1587          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 309.0  | 2163  | 3.1606          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 310.0  | 2170  | 3.1626          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 311.0  | 2177  | 3.1644          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 312.0  | 2184  | 3.1663          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 313.0  | 2191  | 3.1680          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 314.0  | 2198  | 3.1698          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 315.0  | 2205  | 3.1717          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 316.0  | 2212  | 3.1736          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 317.0  | 2219  | 3.1755          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 318.0  | 2226  | 3.1774          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 319.0  | 2233  | 3.1793          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 320.0  | 2240  | 3.1813          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 321.0  | 2247  | 3.1832          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 322.0  | 2254  | 3.1851          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 323.0  | 2261  | 3.1869          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 324.0  | 2268  | 3.1886          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 325.0  | 2275  | 3.1904          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 326.0  | 2282  | 3.1921          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 327.0  | 2289  | 3.1937          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 328.0  | 2296  | 3.1954          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 329.0  | 2303  | 3.1972          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 330.0  | 2310  | 3.1990          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 331.0  | 2317  | 3.2007          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 332.0  | 2324  | 3.2023          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 333.0  | 2331  | 3.2040          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 334.0  | 2338  | 3.2058          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 335.0  | 2345  | 3.2075          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 336.0  | 2352  | 3.2093          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 337.0  | 2359  | 3.2110          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 338.0  | 2366  | 3.2126          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 339.0  | 2373  | 3.2142          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 340.0  | 2380  | 3.2159          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 341.0  | 2387  | 3.2175          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 342.0  | 2394  | 3.2193          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 343.0  | 2401  | 3.2210          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 344.0  | 2408  | 3.2228          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 345.0  | 2415  | 3.2244          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 346.0  | 2422  | 3.2261          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 347.0  | 2429  | 3.2277          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 348.0  | 2436  | 3.2293          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 349.0  | 2443  | 3.2309          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 350.0  | 2450  | 3.2326          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 351.0  | 2457  | 3.2343          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 352.0  | 2464  | 3.2359          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 353.0  | 2471  | 3.2378          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 354.0  | 2478  | 3.2397          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 355.0  | 2485  | 3.2414          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 356.0  | 2492  | 3.2432          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 357.0  | 2499  | 3.2448          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 358.0  | 2506  | 3.2463          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 359.0  | 2513  | 3.2479          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 360.0  | 2520  | 3.2495          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 361.0  | 2527  | 3.2512          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 362.0  | 2534  | 3.2528          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 363.0  | 2541  | 3.2544          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 364.0  | 2548  | 3.2560          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 365.0  | 2555  | 3.2575          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 366.0  | 2562  | 3.2591          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 367.0  | 2569  | 3.2606          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 368.0  | 2576  | 3.2621          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 369.0  | 2583  | 3.2635          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 370.0  | 2590  | 3.2650          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 371.0  | 2597  | 3.2664          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 372.0  | 2604  | 3.2679          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 373.0  | 2611  | 3.2693          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 374.0  | 2618  | 3.2709          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 375.0  | 2625  | 3.2725          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 376.0  | 2632  | 3.2739          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 377.0  | 2639  | 3.2754          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 378.0  | 2646  | 3.2768          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 379.0  | 2653  | 3.2784          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 380.0  | 2660  | 3.2799          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 381.0  | 2667  | 3.2814          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 382.0  | 2674  | 3.2828          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 383.0  | 2681  | 3.2843          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 384.0  | 2688  | 3.2857          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 385.0  | 2695  | 3.2873          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 386.0  | 2702  | 3.2888          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 387.0  | 2709  | 3.2904          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 388.0  | 2716  | 3.2919          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 389.0  | 2723  | 3.2933          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 390.0  | 2730  | 3.2947          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 391.0  | 2737  | 3.2962          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 392.0  | 2744  | 3.2976          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 393.0  | 2751  | 3.2990          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 394.0  | 2758  | 3.3004          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 395.0  | 2765  | 3.3018          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 396.0  | 2772  | 3.3033          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 397.0  | 2779  | 3.3048          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 398.0  | 2786  | 3.3066          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 399.0  | 2793  | 3.3083          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 400.0  | 2800  | 3.3099          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 401.0  | 2807  | 3.3113          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 402.0  | 2814  | 3.3127          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 403.0  | 2821  | 3.3141          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 404.0  | 2828  | 3.3155          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 405.0  | 2835  | 3.3169          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 406.0  | 2842  | 3.3183          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 407.0  | 2849  | 3.3197          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 408.0  | 2856  | 3.3210          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 409.0  | 2863  | 3.3223          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 410.0  | 2870  | 3.3237          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 411.0  | 2877  | 3.3250          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 412.0  | 2884  | 3.3264          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 413.0  | 2891  | 3.3277          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 414.0  | 2898  | 3.3291          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 415.0  | 2905  | 3.3306          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 416.0  | 2912  | 3.3320          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 417.0  | 2919  | 3.3334          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 418.0  | 2926  | 3.3348          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 419.0  | 2933  | 3.3362          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 420.0  | 2940  | 3.3376          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 421.0  | 2947  | 3.3390          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 422.0  | 2954  | 3.3404          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 423.0  | 2961  | 3.3418          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 424.0  | 2968  | 3.3431          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 425.0  | 2975  | 3.3444          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 426.0  | 2982  | 3.3458          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 427.0  | 2989  | 3.3472          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 428.0  | 2996  | 3.3485          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 429.0  | 3003  | 3.3498          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 430.0  | 3010  | 3.3513          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 431.0  | 3017  | 3.3527          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 432.0  | 3024  | 3.3540          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 433.0  | 3031  | 3.3553          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 434.0  | 3038  | 3.3565          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 435.0  | 3045  | 3.3578          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 436.0  | 3052  | 3.3590          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 437.0  | 3059  | 3.3603          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 438.0  | 3066  | 3.3616          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 439.0  | 3073  | 3.3629          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 440.0  | 3080  | 3.3642          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 441.0  | 3087  | 3.3655          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 442.0  | 3094  | 3.3668          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 443.0  | 3101  | 3.3681          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 444.0  | 3108  | 3.3692          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 445.0  | 3115  | 3.3705          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 446.0  | 3122  | 3.3717          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 447.0  | 3129  | 3.3729          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 448.0  | 3136  | 3.3741          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 449.0  | 3143  | 3.3754          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 450.0  | 3150  | 3.3766          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 451.0  | 3157  | 3.3779          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 452.0  | 3164  | 3.3793          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 453.0  | 3171  | 3.3805          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 454.0  | 3178  | 3.3817          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 455.0  | 3185  | 3.3830          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 456.0  | 3192  | 3.3843          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 457.0  | 3199  | 3.3857          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 458.0  | 3206  | 3.3872          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 459.0  | 3213  | 3.3887          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 460.0  | 3220  | 3.3900          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 461.0  | 3227  | 3.3912          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 462.0  | 3234  | 3.3925          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 463.0  | 3241  | 3.3937          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 464.0  | 3248  | 3.3949          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 465.0  | 3255  | 3.3962          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 466.0  | 3262  | 3.3974          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 467.0  | 3269  | 3.3986          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 468.0  | 3276  | 3.3998          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 469.0  | 3283  | 3.4010          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 470.0  | 3290  | 3.4022          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 471.0  | 3297  | 3.4034          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 472.0  | 3304  | 3.4046          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 473.0  | 3311  | 3.4057          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 474.0  | 3318  | 3.4069          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 475.0  | 3325  | 3.4080          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 476.0  | 3332  | 3.4092          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 477.0  | 3339  | 3.4104          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 478.0  | 3346  | 3.4117          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 479.0  | 3353  | 3.4129          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 480.0  | 3360  | 3.4140          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 481.0  | 3367  | 3.4152          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 482.0  | 3374  | 3.4164          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 483.0  | 3381  | 3.4176          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 484.0  | 3388  | 3.4189          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 485.0  | 3395  | 3.4202          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 486.0  | 3402  | 3.4215          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 487.0  | 3409  | 3.4228          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 488.0  | 3416  | 3.4240          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 489.0  | 3423  | 3.4251          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 490.0  | 3430  | 3.4263          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 491.0  | 3437  | 3.4274          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 492.0  | 3444  | 3.4285          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 493.0  | 3451  | 3.4297          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 494.0  | 3458  | 3.4311          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 495.0  | 3465  | 3.4324          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 496.0  | 3472  | 3.4336          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 497.0  | 3479  | 3.4348          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 498.0  | 3486  | 3.4363          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 499.0  | 3493  | 3.4379          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 500.0  | 3500  | 3.4393          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 501.0  | 3507  | 3.4406          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 502.0  | 3514  | 3.4419          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 503.0  | 3521  | 3.4430          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 504.0  | 3528  | 3.4442          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 505.0  | 3535  | 3.4454          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 506.0  | 3542  | 3.4466          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 507.0  | 3549  | 3.4478          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 508.0  | 3556  | 3.4489          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 509.0  | 3563  | 3.4500          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 510.0  | 3570  | 3.4512          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 511.0  | 3577  | 3.4524          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 512.0  | 3584  | 3.4535          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 513.0  | 3591  | 3.4546          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 514.0  | 3598  | 3.4560          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 515.0  | 3605  | 3.4575          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 516.0  | 3612  | 3.4588          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 517.0  | 3619  | 3.4600          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 518.0  | 3626  | 3.4612          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 519.0  | 3633  | 3.4623          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 520.0  | 3640  | 3.4634          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 521.0  | 3647  | 3.4645          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 522.0  | 3654  | 3.4656          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 523.0  | 3661  | 3.4667          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 524.0  | 3668  | 3.4678          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 525.0  | 3675  | 3.4689          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 526.0  | 3682  | 3.4699          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 527.0  | 3689  | 3.4710          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 528.0  | 3696  | 3.4720          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 529.0  | 3703  | 3.4731          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 530.0  | 3710  | 3.4742          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 531.0  | 3717  | 3.4753          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 532.0  | 3724  | 3.4764          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 533.0  | 3731  | 3.4775          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 534.0  | 3738  | 3.4789          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 535.0  | 3745  | 3.4803          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 536.0  | 3752  | 3.4815          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 537.0  | 3759  | 3.4827          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 538.0  | 3766  | 3.4839          | {'f1': 0.8150851581508515} | {'accuracy': 0.7085330776605945} |
| 0.0           | 539.0  | 3773  | 3.4850          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 540.0  | 3780  | 3.4861          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 541.0  | 3787  | 3.4872          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 542.0  | 3794  | 3.4883          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 543.0  | 3801  | 3.4895          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 544.0  | 3808  | 3.4907          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 545.0  | 3815  | 3.4918          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 546.0  | 3822  | 3.4928          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 547.0  | 3829  | 3.4938          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 548.0  | 3836  | 3.4949          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 549.0  | 3843  | 3.4959          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 550.0  | 3850  | 3.4970          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 551.0  | 3857  | 3.4982          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 552.0  | 3864  | 3.4993          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 553.0  | 3871  | 3.5003          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 554.0  | 3878  | 3.5015          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 555.0  | 3885  | 3.5026          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 556.0  | 3892  | 3.5037          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 557.0  | 3899  | 3.5049          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 558.0  | 3906  | 3.5060          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 559.0  | 3913  | 3.5070          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 560.0  | 3920  | 3.5081          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 561.0  | 3927  | 3.5091          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 562.0  | 3934  | 3.5102          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 563.0  | 3941  | 3.5113          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 564.0  | 3948  | 3.5125          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 565.0  | 3955  | 3.5137          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 566.0  | 3962  | 3.5148          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 567.0  | 3969  | 3.5159          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 568.0  | 3976  | 3.5169          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 569.0  | 3983  | 3.5180          | {'f1': 0.8143639683505782} | {'accuracy': 0.7075743048897412} |
| 0.0           | 570.0  | 3990  | 3.8601          | {'f1': 0.8229885057471265} | {'accuracy': 0.7046979865771812} |
| 0.0           | 571.0  | 3997  | 3.0689          | {'f1': 0.7333799860041986} | {'accuracy': 0.6347075743048898} |
| 0.0013        | 572.0  | 4004  | 3.0169          | {'f1': 0.8151210868281158} | {'accuracy': 0.6999041227229147} |
| 0.0013        | 573.0  | 4011  | 2.7677          | {'f1': 0.7332873880082701} | {'accuracy': 0.6289549376797698} |
| 0.0013        | 574.0  | 4018  | 3.5323          | {'f1': 0.8151116199198626} | {'accuracy': 0.6903163950143816} |
| 0.0013        | 575.0  | 4025  | 1.4356          | {'f1': 0.7489711934156378} | {'accuracy': 0.6490891658676894} |
| 0.0013        | 576.0  | 4032  | 2.3193          | {'f1': 0.8099762470308788} | {'accuracy': 0.6931927133269415} |
| 0.0013        | 577.0  | 4039  | 2.6926          | {'f1': 0.7915601023017901} | {'accuracy': 0.6874400767018217} |
| 0.0013        | 578.0  | 4046  | 3.0045          | {'f1': 0.768}              | {'accuracy': 0.6663470757430489} |
| 0.0013        | 579.0  | 4053  | 3.6648          | {'f1': 0.8119158878504673} | {'accuracy': 0.6912751677852349} |
| 0.0013        | 580.0  | 4060  | 3.5080          | {'f1': 0.8007268322228952} | {'accuracy': 0.6845637583892618} |
| 0.0013        | 581.0  | 4067  | 3.1868          | {'f1': 0.7780678851174935} | {'accuracy': 0.6740172579098753} |
| 0.0013        | 582.0  | 4074  | 3.3292          | {'f1': 0.8180751173708921} | {'accuracy': 0.7027804410354745} |
| 0.0013        | 583.0  | 4081  | 3.4656          | {'f1': 0.8136792452830188} | {'accuracy': 0.6970278044103547} |
| 0.0013        | 584.0  | 4088  | 3.5400          | {'f1': 0.8106824925816024} | {'accuracy': 0.6941514860977949} |
| 0.0013        | 585.0  | 4095  | 2.0935          | {'f1': 0.8088147706968434} | {'accuracy': 0.6922339405560882} |
| 0.0013        | 586.0  | 4102  | 1.6408          | {'f1': 0.7713178294573643} | {'accuracy': 0.660594439117929}  |
| 0.0013        | 587.0  | 4109  | 2.5652          | {'f1': 0.8123904149620105} | {'accuracy': 0.6922339405560882} |
| 0.0013        | 588.0  | 4116  | 2.7729          | {'f1': 0.7886792452830189} | {'accuracy': 0.6778523489932886} |
| 0.0013        | 589.0  | 4123  | 3.0486          | {'f1': 0.7682291666666667} | {'accuracy': 0.6586768935762224} |
| 0.0013        | 590.0  | 4130  | 3.2270          | {'f1': 0.7581179589131875} | {'accuracy': 0.6500479386385427} |
| 0.0013        | 591.0  | 4137  | 3.3193          | {'f1': 0.8144329896907216} | {'accuracy': 0.6893576222435283} |
| 0.0013        | 592.0  | 4144  | 2.8658          | {'f1': 0.8019801980198019} | {'accuracy': 0.6931927133269415} |
| 0.0013        | 593.0  | 4151  | 2.9706          | {'f1': 0.8125369603784742} | {'accuracy': 0.6960690316395014} |
| 0.0013        | 594.0  | 4158  | 3.0925          | {'f1': 0.8130460104834013} | {'accuracy': 0.6922339405560882} |
| 0.0013        | 595.0  | 4165  | 2.9809          | {'f1': 0.7777040477770405} | {'accuracy': 0.6788111217641419} |
| 0.0013        | 596.0  | 4172  | 2.9127          | {'f1': 0.8115593016255267} | {'accuracy': 0.6999041227229147} |
| 0.0013        | 597.0  | 4179  | 2.7150          | {'f1': 0.7788778877887788} | {'accuracy': 0.6788111217641419} |
| 0.0013        | 598.0  | 4186  | 3.1194          | {'f1': 0.8115273775216137} | {'accuracy': 0.6864813039309684} |
| 0.0013        | 599.0  | 4193  | 1.5075          | {'f1': 0.8166172106824926} | {'accuracy': 0.7037392138063279} |
| 0.0013        | 600.0  | 4200  | 2.1774          | {'f1': 0.8169350029815148} | {'accuracy': 0.7056567593480345} |
| 0.0013        | 601.0  | 4207  | 2.2052          | {'f1': 0.7665551839464881} | {'accuracy': 0.6653883029721956} |
| 0.0013        | 602.0  | 4214  | 1.7763          | {'f1': 0.8088235294117647} | {'accuracy': 0.700862895493768}  |
| 0.0013        | 603.0  | 4221  | 2.0937          | {'f1': 0.8122743682310469} | {'accuracy': 0.700862895493768}  |
| 0.0013        | 604.0  | 4228  | 2.4730          | {'f1': 0.8131736526946108} | {'accuracy': 0.700862895493768}  |
| 0.0013        | 605.0  | 4235  | 2.7279          | {'f1': 0.8133971291866029} | {'accuracy': 0.700862895493768}  |
| 0.0013        | 606.0  | 4242  | 2.8811          | {'f1': 0.8131343283582089} | {'accuracy': 0.6999041227229147} |
| 0.0013        | 607.0  | 4249  | 2.9704          | {'f1': 0.812910938433951}  | {'accuracy': 0.6999041227229147} |
| 0.0013        | 608.0  | 4256  | 3.0254          | {'f1': 0.812910938433951}  | {'accuracy': 0.6999041227229147} |
| 0.0013        | 609.0  | 4263  | 3.0614          | {'f1': 0.812910938433951}  | {'accuracy': 0.6999041227229147} |
| 0.0013        | 610.0  | 4270  | 3.0865          | {'f1': 0.812910938433951}  | {'accuracy': 0.6999041227229147} |
| 0.0013        | 611.0  | 4277  | 3.1062          | {'f1': 0.812687013764213}  | {'accuracy': 0.6999041227229147} |
| 0.0013        | 612.0  | 4284  | 3.1230          | {'f1': 0.812687013764213}  | {'accuracy': 0.6999041227229147} |
| 0.0013        | 613.0  | 4291  | 3.1374          | {'f1': 0.8131736526946108} | {'accuracy': 0.700862895493768}  |
| 0.0013        | 614.0  | 4298  | 3.1520          | {'f1': 0.8131736526946108} | {'accuracy': 0.700862895493768}  |
| 0.0013        | 615.0  | 4305  | 3.1652          | {'f1': 0.8124625524266027} | {'accuracy': 0.6999041227229147} |
| 0.0013        | 616.0  | 4312  | 3.1774          | {'f1': 0.8124625524266027} | {'accuracy': 0.6999041227229147} |
| 0.0013        | 617.0  | 4319  | 3.1892          | {'f1': 0.8124625524266027} | {'accuracy': 0.6999041227229147} |
| 0.0013        | 618.0  | 4326  | 3.2003          | {'f1': 0.8124625524266027} | {'accuracy': 0.6999041227229147} |
| 0.0013        | 619.0  | 4333  | 3.2069          | {'f1': 0.8124625524266027} | {'accuracy': 0.6999041227229147} |
| 0.0013        | 620.0  | 4340  | 3.2150          | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768}  |
| 0.0013        | 621.0  | 4347  | 3.2238          | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768}  |
| 0.0013        | 622.0  | 4354  | 3.2328          | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768}  |
| 0.0013        | 623.0  | 4361  | 3.2416          | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768}  |
| 0.0013        | 624.0  | 4368  | 3.2500          | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768}  |
| 0.0013        | 625.0  | 4375  | 3.2578          | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768}  |
| 0.0013        | 626.0  | 4382  | 3.2656          | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768}  |
| 0.0013        | 627.0  | 4389  | 3.2731          | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768}  |
| 0.0013        | 628.0  | 4396  | 3.2812          | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768}  |
| 0.0013        | 629.0  | 4403  | 3.2887          | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768}  |
| 0.0013        | 630.0  | 4410  | 3.2961          | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768}  |
| 0.0013        | 631.0  | 4417  | 3.3035          | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768}  |
| 0.0013        | 632.0  | 4424  | 3.3104          | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768}  |
| 0.0013        | 633.0  | 4431  | 3.3168          | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768}  |
| 0.0013        | 634.0  | 4438  | 3.3232          | {'f1': 0.8129496402877698} | {'accuracy': 0.700862895493768}  |
| 0.0013        | 635.0  | 4445  | 3.3295          | {'f1': 0.8134373125374925} | {'accuracy': 0.7018216682646213} |
| 0.0013        | 636.0  | 4452  | 3.3355          | {'f1': 0.8139255702280912} | {'accuracy': 0.7027804410354745} |
| 0.0013        | 637.0  | 4459  | 3.3414          | {'f1': 0.8139255702280912} | {'accuracy': 0.7027804410354745} |
| 0.0013        | 638.0  | 4466  | 3.3472          | {'f1': 0.8139255702280912} | {'accuracy': 0.7027804410354745} |
| 0.0013        | 639.0  | 4473  | 3.3530          | {'f1': 0.8139255702280912} | {'accuracy': 0.7027804410354745} |
| 0.0013        | 640.0  | 4480  | 3.3585          | {'f1': 0.8139255702280912} | {'accuracy': 0.7027804410354745} |
| 0.0013        | 641.0  | 4487  | 3.3637          | {'f1': 0.8139255702280912} | {'accuracy': 0.7027804410354745} |
| 0.0013        | 642.0  | 4494  | 3.3690          | {'f1': 0.8139255702280912} | {'accuracy': 0.7027804410354745} |
| 0.0256        | 643.0  | 4501  | 3.3743          | {'f1': 0.8132132132132132} | {'accuracy': 0.7018216682646213} |
| 0.0256        | 644.0  | 4508  | 3.3796          | {'f1': 0.8132132132132132} | {'accuracy': 0.7018216682646213} |
| 0.0256        | 645.0  | 4515  | 3.3848          | {'f1': 0.8132132132132132} | {'accuracy': 0.7018216682646213} |
| 0.0256        | 646.0  | 4522  | 3.3900          | {'f1': 0.8125}             | {'accuracy': 0.700862895493768}  |
| 0.0256        | 647.0  | 4529  | 3.3950          | {'f1': 0.8125}             | {'accuracy': 0.700862895493768}  |
| 0.0256        | 648.0  | 4536  | 3.4000          | {'f1': 0.8125}             | {'accuracy': 0.700862895493768}  |
| 0.0256        | 649.0  | 4543  | 3.4050          | {'f1': 0.8125}             | {'accuracy': 0.700862895493768}  |
| 0.0256        | 650.0  | 4550  | 3.4100          | {'f1': 0.8117859290438966} | {'accuracy': 0.6999041227229147} |
| 0.0256        | 651.0  | 4557  | 3.4148          | {'f1': 0.8117859290438966} | {'accuracy': 0.6999041227229147} |
| 0.0256        | 652.0  | 4564  | 3.4194          | {'f1': 0.8117859290438966} | {'accuracy': 0.6999041227229147} |
| 0.0256        | 653.0  | 4571  | 3.4239          | {'f1': 0.8117859290438966} | {'accuracy': 0.6999041227229147} |
| 0.0256        | 654.0  | 4578  | 3.4285          | {'f1': 0.8117859290438966} | {'accuracy': 0.6999041227229147} |
| 0.0256        | 655.0  | 4585  | 3.4305          | {'f1': 0.8096385542168674} | {'accuracy': 0.6970278044103547} |
| 0.0256        | 656.0  | 4592  | 3.4339          | {'f1': 0.8098974049487024} | {'accuracy': 0.697986577181208}  |
| 0.0256        | 657.0  | 4599  | 3.4380          | {'f1': 0.8098974049487024} | {'accuracy': 0.697986577181208}  |
| 0.0256        | 658.0  | 4606  | 3.4424          | {'f1': 0.8098974049487024} | {'accuracy': 0.697986577181208}  |
| 0.0256        | 659.0  | 4613  | 3.4464          | {'f1': 0.8091787439613527} | {'accuracy': 0.6970278044103547} |
| 0.0256        | 660.0  | 4620  | 3.4505          | {'f1': 0.8091787439613527} | {'accuracy': 0.6970278044103547} |
| 0.0256        | 661.0  | 4627  | 3.4556          | {'f1': 0.8098974049487024} | {'accuracy': 0.697986577181208}  |
| 0.0256        | 662.0  | 4634  | 3.4605          | {'f1': 0.8098974049487024} | {'accuracy': 0.697986577181208}  |
| 0.0256        | 663.0  | 4641  | 3.4649          | {'f1': 0.8098974049487024} | {'accuracy': 0.697986577181208}  |
| 0.0256        | 664.0  | 4648  | 3.4691          | {'f1': 0.8098974049487024} | {'accuracy': 0.697986577181208}  |
| 0.0256        | 665.0  | 4655  | 3.4734          | {'f1': 0.8098974049487024} | {'accuracy': 0.697986577181208}  |
| 0.0256        | 666.0  | 4662  | 3.4773          | {'f1': 0.8098974049487024} | {'accuracy': 0.697986577181208}  |
| 0.0256        | 667.0  | 4669  | 3.4810          | {'f1': 0.8091787439613527} | {'accuracy': 0.6970278044103547} |
| 0.0256        | 668.0  | 4676  | 3.4847          | {'f1': 0.8091787439613527} | {'accuracy': 0.6970278044103547} |
| 0.0256        | 669.0  | 4683  | 3.4884          | {'f1': 0.8084592145015107} | {'accuracy': 0.6960690316395014} |
| 0.0256        | 670.0  | 4690  | 3.4922          | {'f1': 0.8084592145015107} | {'accuracy': 0.6960690316395014} |
| 0.0256        | 671.0  | 4697  | 3.4959          | {'f1': 0.8084592145015107} | {'accuracy': 0.6960690316395014} |
| 0.0256        | 672.0  | 4704  | 3.4995          | {'f1': 0.8084592145015107} | {'accuracy': 0.6960690316395014} |
| 0.0256        | 673.0  | 4711  | 3.5030          | {'f1': 0.8084592145015107} | {'accuracy': 0.6960690316395014} |
| 0.0256        | 674.0  | 4718  | 3.5066          | {'f1': 0.8084592145015107} | {'accuracy': 0.6960690316395014} |
| 0.0256        | 675.0  | 4725  | 3.5105          | {'f1': 0.8084592145015107} | {'accuracy': 0.6960690316395014} |
| 0.0256        | 676.0  | 4732  | 3.5141          | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256        | 677.0  | 4739  | 3.5176          | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256        | 678.0  | 4746  | 3.5209          | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256        | 679.0  | 4753  | 3.5242          | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256        | 680.0  | 4760  | 3.5274          | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256        | 681.0  | 4767  | 3.5307          | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256        | 682.0  | 4774  | 3.5340          | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256        | 683.0  | 4781  | 3.5373          | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256        | 684.0  | 4788  | 3.5405          | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256        | 685.0  | 4795  | 3.5436          | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256        | 686.0  | 4802  | 3.5468          | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256        | 687.0  | 4809  | 3.5501          | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256        | 688.0  | 4816  | 3.5531          | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256        | 689.0  | 4823  | 3.5562          | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256        | 690.0  | 4830  | 3.5592          | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256        | 691.0  | 4837  | 3.5622          | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256        | 692.0  | 4844  | 3.5652          | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256        | 693.0  | 4851  | 3.5682          | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256        | 694.0  | 4858  | 3.5711          | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256        | 695.0  | 4865  | 3.5740          | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256        | 696.0  | 4872  | 3.5771          | {'f1': 0.8089480048367594} | {'accuracy': 0.6970278044103547} |
| 0.0256        | 697.0  | 4879  | 3.5801          | {'f1': 0.8082274652147611} | {'accuracy': 0.6960690316395014} |
| 0.0256        | 698.0  | 4886  | 3.5831          | {'f1': 0.8082274652147611} | {'accuracy': 0.6960690316395014} |
| 0.0256        | 699.0  | 4893  | 3.5859          | {'f1': 0.8082274652147611} | {'accuracy': 0.6960690316395014} |
| 0.0256        | 700.0  | 4900  | 3.5887          | {'f1': 0.8082274652147611} | {'accuracy': 0.6960690316395014} |
| 0.0256        | 701.0  | 4907  | 3.5916          | {'f1': 0.8082274652147611} | {'accuracy': 0.6960690316395014} |
| 0.0256        | 702.0  | 4914  | 3.5944          | {'f1': 0.8082274652147611} | {'accuracy': 0.6960690316395014} |
| 0.0256        | 703.0  | 4921  | 3.5971          | {'f1': 0.8082274652147611} | {'accuracy': 0.6960690316395014} |
| 0.0256        | 704.0  | 4928  | 3.5999          | {'f1': 0.8082274652147611} | {'accuracy': 0.6960690316395014} |
| 0.0256        | 705.0  | 4935  | 3.6027          | {'f1': 0.8082274652147611} | {'accuracy': 0.6960690316395014} |
| 0.0256        | 706.0  | 4942  | 3.6055          | {'f1': 0.8082274652147611} | {'accuracy': 0.6960690316395014} |
| 0.0256        | 707.0  | 4949  | 3.6083          | {'f1': 0.8082274652147611} | {'accuracy': 0.6960690316395014} |
| 0.0256        | 708.0  | 4956  | 3.6114          | {'f1': 0.8082274652147611} | {'accuracy': 0.6960690316395014} |
| 0.0256        | 709.0  | 4963  | 3.6143          | {'f1': 0.8082274652147611} | {'accuracy': 0.6960690316395014} |
| 0.0256        | 710.0  | 4970  | 3.6169          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0256        | 711.0  | 4977  | 3.6194          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0256        | 712.0  | 4984  | 3.6220          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0256        | 713.0  | 4991  | 3.6246          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0256        | 714.0  | 4998  | 3.6272          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 715.0  | 5005  | 3.6299          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 716.0  | 5012  | 3.6325          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 717.0  | 5019  | 3.6350          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 718.0  | 5026  | 3.6375          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 719.0  | 5033  | 3.6400          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 720.0  | 5040  | 3.6426          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 721.0  | 5047  | 3.6451          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 722.0  | 5054  | 3.6475          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 723.0  | 5061  | 3.6499          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 724.0  | 5068  | 3.6524          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 725.0  | 5075  | 3.6549          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 726.0  | 5082  | 3.6573          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 727.0  | 5089  | 3.6597          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 728.0  | 5096  | 3.6621          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 729.0  | 5103  | 3.6645          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 730.0  | 5110  | 3.6668          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 731.0  | 5117  | 3.6691          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 732.0  | 5124  | 3.6721          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 733.0  | 5131  | 3.6751          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 734.0  | 5138  | 3.6777          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 735.0  | 5145  | 3.6802          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 736.0  | 5152  | 3.6825          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 737.0  | 5159  | 3.6848          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 738.0  | 5166  | 3.6870          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 739.0  | 5173  | 3.6893          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 740.0  | 5180  | 3.6914          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 741.0  | 5187  | 3.6935          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 742.0  | 5194  | 3.6956          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 743.0  | 5201  | 3.6976          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 744.0  | 5208  | 3.6997          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 745.0  | 5215  | 3.7018          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 746.0  | 5222  | 3.7039          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 747.0  | 5229  | 3.7059          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 748.0  | 5236  | 3.7080          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 749.0  | 5243  | 3.7100          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 750.0  | 5250  | 3.7121          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 751.0  | 5257  | 3.7141          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 752.0  | 5264  | 3.7162          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 753.0  | 5271  | 3.7183          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 754.0  | 5278  | 3.7204          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 755.0  | 5285  | 3.7225          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 756.0  | 5292  | 3.7245          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 757.0  | 5299  | 3.7265          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 758.0  | 5306  | 3.7284          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 759.0  | 5313  | 3.7303          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 760.0  | 5320  | 3.7322          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 761.0  | 5327  | 3.7341          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 762.0  | 5334  | 3.7361          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 763.0  | 5341  | 3.7380          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 764.0  | 5348  | 3.7399          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 765.0  | 5355  | 3.7417          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 766.0  | 5362  | 3.7442          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 767.0  | 5369  | 3.7464          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 768.0  | 5376  | 3.7485          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 769.0  | 5383  | 3.7505          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 770.0  | 5390  | 3.7525          | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0           | 771.0  | 5397  | 3.9480          | {'f1': 0.8144208037825059} | {'accuracy': 0.6989453499520614} |
| 0.0           | 772.0  | 5404  | 4.0334          | {'f1': 0.8147713950762017} | {'accuracy': 0.6970278044103547} |
| 0.0           | 773.0  | 5411  | 4.0773          | {'f1': 0.8146853146853147} | {'accuracy': 0.6951102588686481} |
| 0.0           | 774.0  | 5418  | 4.0872          | {'f1': 0.8156359393232205} | {'accuracy': 0.6970278044103547} |
| 0.0           | 775.0  | 5425  | 4.0908          | {'f1': 0.814944541739638}  | {'accuracy': 0.6960690316395014} |
| 0.0           | 776.0  | 5432  | 4.0931          | {'f1': 0.814944541739638}  | {'accuracy': 0.6960690316395014} |
| 0.0           | 777.0  | 5439  | 4.0950          | {'f1': 0.8154205607476637} | {'accuracy': 0.6970278044103547} |
| 0.0           | 778.0  | 5446  | 4.0968          | {'f1': 0.8154205607476637} | {'accuracy': 0.6970278044103547} |
| 0.0           | 779.0  | 5453  | 4.0986          | {'f1': 0.8154205607476637} | {'accuracy': 0.6970278044103547} |
| 0.0           | 780.0  | 5460  | 4.1004          | {'f1': 0.8154205607476637} | {'accuracy': 0.6970278044103547} |
| 0.0           | 781.0  | 5467  | 4.1020          | {'f1': 0.8154205607476637} | {'accuracy': 0.6970278044103547} |
| 0.0           | 782.0  | 5474  | 4.1037          | {'f1': 0.8154205607476637} | {'accuracy': 0.6970278044103547} |
| 0.0           | 783.0  | 5481  | 4.1053          | {'f1': 0.8154205607476637} | {'accuracy': 0.6970278044103547} |
| 0.0           | 784.0  | 5488  | 4.1069          | {'f1': 0.8154205607476637} | {'accuracy': 0.6970278044103547} |
| 0.0           | 785.0  | 5495  | 4.1085          | {'f1': 0.8154205607476637} | {'accuracy': 0.6970278044103547} |
| 0.0           | 786.0  | 5502  | 4.0986          | {'f1': 0.8149882903981265} | {'accuracy': 0.6970278044103547} |
| 0.0           | 787.0  | 5509  | 4.0837          | {'f1': 0.8150322959483265} | {'accuracy': 0.697986577181208}  |
| 0.0           | 788.0  | 5516  | 4.0779          | {'f1': 0.8148148148148149} | {'accuracy': 0.697986577181208}  |
| 0.0           | 789.0  | 5523  | 4.0756          | {'f1': 0.8148148148148149} | {'accuracy': 0.697986577181208}  |
| 0.0           | 790.0  | 5530  | 4.0752          | {'f1': 0.8148148148148149} | {'accuracy': 0.697986577181208}  |
| 0.0           | 791.0  | 5537  | 4.0759          | {'f1': 0.8148148148148149} | {'accuracy': 0.697986577181208}  |
| 0.0           | 792.0  | 5544  | 4.0770          | {'f1': 0.8148148148148149} | {'accuracy': 0.697986577181208}  |
| 0.0           | 793.0  | 5551  | 4.0785          | {'f1': 0.8148148148148149} | {'accuracy': 0.697986577181208}  |
| 0.0           | 794.0  | 5558  | 4.0800          | {'f1': 0.8148148148148149} | {'accuracy': 0.697986577181208}  |
| 0.0           | 795.0  | 5565  | 4.0816          | {'f1': 0.8148148148148149} | {'accuracy': 0.697986577181208}  |
| 0.0           | 796.0  | 5572  | 4.0832          | {'f1': 0.8148148148148149} | {'accuracy': 0.697986577181208}  |
| 0.0           | 797.0  | 5579  | 4.0726          | {'f1': 0.8145968216597999} | {'accuracy': 0.697986577181208}  |
| 0.0           | 798.0  | 5586  | 4.0451          | {'f1': 0.8127962085308056} | {'accuracy': 0.6970278044103547} |
| 0.0           | 799.0  | 5593  | 4.0253          | {'f1': 0.8142433234421365} | {'accuracy': 0.6999041227229147} |
| 0.0           | 800.0  | 5600  | 4.0155          | {'f1': 0.8156956004756243} | {'accuracy': 0.7027804410354745} |
| 0.0           | 801.0  | 5607  | 4.0116          | {'f1': 0.8156956004756243} | {'accuracy': 0.7027804410354745} |
| 0.0           | 802.0  | 5614  | 4.0105          | {'f1': 0.8154761904761904} | {'accuracy': 0.7027804410354745} |
| 0.0           | 803.0  | 5621  | 4.0108          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 804.0  | 5628  | 4.0116          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 805.0  | 5635  | 4.0127          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 806.0  | 5642  | 4.0139          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 807.0  | 5649  | 4.0153          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 808.0  | 5656  | 4.0167          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 809.0  | 5663  | 4.0182          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 810.0  | 5670  | 4.0195          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 811.0  | 5677  | 4.0208          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 812.0  | 5684  | 4.0222          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 813.0  | 5691  | 4.0235          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 814.0  | 5698  | 4.0249          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 815.0  | 5705  | 4.0262          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 816.0  | 5712  | 4.0275          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 817.0  | 5719  | 4.0288          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 818.0  | 5726  | 4.0301          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 819.0  | 5733  | 4.0314          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 820.0  | 5740  | 4.0327          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 821.0  | 5747  | 4.0340          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 822.0  | 5754  | 4.0353          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 823.0  | 5761  | 4.0366          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 824.0  | 5768  | 4.0380          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 825.0  | 5775  | 4.0394          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 826.0  | 5782  | 4.0407          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 827.0  | 5789  | 4.0420          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 828.0  | 5796  | 4.0434          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 829.0  | 5803  | 4.0447          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 830.0  | 5810  | 4.0461          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 831.0  | 5817  | 4.0473          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 832.0  | 5824  | 4.0487          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 833.0  | 5831  | 4.0499          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 834.0  | 5838  | 4.0512          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 835.0  | 5845  | 4.0525          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 836.0  | 5852  | 4.0537          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 837.0  | 5859  | 4.0550          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 838.0  | 5866  | 4.0563          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 839.0  | 5873  | 4.0575          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 840.0  | 5880  | 4.0588          | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0           | 841.0  | 5887  | 4.0601          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 842.0  | 5894  | 4.0613          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 843.0  | 5901  | 4.0627          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 844.0  | 5908  | 4.0641          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 845.0  | 5915  | 4.0654          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 846.0  | 5922  | 4.0666          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 847.0  | 5929  | 4.0679          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 848.0  | 5936  | 4.0692          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 849.0  | 5943  | 4.0705          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 850.0  | 5950  | 4.0718          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 851.0  | 5957  | 4.0730          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 852.0  | 5964  | 4.0743          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 853.0  | 5971  | 4.0755          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 854.0  | 5978  | 4.0768          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 855.0  | 5985  | 4.0780          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 856.0  | 5992  | 4.0793          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 857.0  | 5999  | 4.0806          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 858.0  | 6006  | 4.0819          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 859.0  | 6013  | 4.0832          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 860.0  | 6020  | 4.0844          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 861.0  | 6027  | 4.0857          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 862.0  | 6034  | 4.0870          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 863.0  | 6041  | 4.0882          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 864.0  | 6048  | 4.0894          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 865.0  | 6055  | 4.0906          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 866.0  | 6062  | 4.0918          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 867.0  | 6069  | 4.0930          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 868.0  | 6076  | 4.0942          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 869.0  | 6083  | 4.0954          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 870.0  | 6090  | 4.0966          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 871.0  | 6097  | 4.0978          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 872.0  | 6104  | 4.0990          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 873.0  | 6111  | 4.1002          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 874.0  | 6118  | 4.1014          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 875.0  | 6125  | 4.1023          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 876.0  | 6132  | 4.1032          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 877.0  | 6139  | 4.1043          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 878.0  | 6146  | 4.1055          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 879.0  | 6153  | 4.1066          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 880.0  | 6160  | 4.1078          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 881.0  | 6167  | 4.1089          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 882.0  | 6174  | 4.1102          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 883.0  | 6181  | 4.1113          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 884.0  | 6188  | 4.1125          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 885.0  | 6195  | 4.1136          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 886.0  | 6202  | 4.1148          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 887.0  | 6209  | 4.1159          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 888.0  | 6216  | 4.1171          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 889.0  | 6223  | 4.1183          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 890.0  | 6230  | 4.1195          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 891.0  | 6237  | 4.1207          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 892.0  | 6244  | 4.1219          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 893.0  | 6251  | 4.1230          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 894.0  | 6258  | 4.1241          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 895.0  | 6265  | 4.1253          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 896.0  | 6272  | 4.1265          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 897.0  | 6279  | 4.1276          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 898.0  | 6286  | 4.1288          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 899.0  | 6293  | 4.1299          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 900.0  | 6300  | 4.1311          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 901.0  | 6307  | 4.1322          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 902.0  | 6314  | 4.1334          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 903.0  | 6321  | 4.1345          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 904.0  | 6328  | 4.1357          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 905.0  | 6335  | 4.1368          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 906.0  | 6342  | 4.1379          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 907.0  | 6349  | 4.1390          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 908.0  | 6356  | 4.1402          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 909.0  | 6363  | 4.1414          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 910.0  | 6370  | 4.1425          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 911.0  | 6377  | 4.1436          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 912.0  | 6384  | 4.1447          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 913.0  | 6391  | 4.1459          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 914.0  | 6398  | 4.1471          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 915.0  | 6405  | 4.1482          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 916.0  | 6412  | 4.1494          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 917.0  | 6419  | 4.1505          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 918.0  | 6426  | 4.1516          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 919.0  | 6433  | 4.1528          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 920.0  | 6440  | 4.1539          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 921.0  | 6447  | 4.1550          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 922.0  | 6454  | 4.1561          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 923.0  | 6461  | 4.1572          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 924.0  | 6468  | 4.1584          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 925.0  | 6475  | 4.1595          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 926.0  | 6482  | 4.1606          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 927.0  | 6489  | 4.1618          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 928.0  | 6496  | 4.1629          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 929.0  | 6503  | 4.1640          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 930.0  | 6510  | 4.1652          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 931.0  | 6517  | 4.1663          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 932.0  | 6524  | 4.1673          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 933.0  | 6531  | 4.1684          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 934.0  | 6538  | 4.1695          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 935.0  | 6545  | 4.1706          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 936.0  | 6552  | 4.1718          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 937.0  | 6559  | 4.1729          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 938.0  | 6566  | 4.1735          | {'f1': 0.8152562574493444} | {'accuracy': 0.7027804410354745} |
| 0.0           | 939.0  | 6573  | 4.1743          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 940.0  | 6580  | 4.1753          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 941.0  | 6587  | 4.1761          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 942.0  | 6594  | 4.1769          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 943.0  | 6601  | 4.1779          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 944.0  | 6608  | 4.1789          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 945.0  | 6615  | 4.1800          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 946.0  | 6622  | 4.1810          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 947.0  | 6629  | 4.1821          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 948.0  | 6636  | 4.1831          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 949.0  | 6643  | 4.1842          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 950.0  | 6650  | 4.1852          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 951.0  | 6657  | 4.1863          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 952.0  | 6664  | 4.1874          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 953.0  | 6671  | 4.1884          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 954.0  | 6678  | 4.1895          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 955.0  | 6685  | 4.1905          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 956.0  | 6692  | 4.1916          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 957.0  | 6699  | 4.1926          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 958.0  | 6706  | 4.1936          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 959.0  | 6713  | 4.1947          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 960.0  | 6720  | 4.1957          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 961.0  | 6727  | 4.1968          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 962.0  | 6734  | 4.1978          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 963.0  | 6741  | 4.1989          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 964.0  | 6748  | 4.2000          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 965.0  | 6755  | 4.2011          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 966.0  | 6762  | 4.2022          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 967.0  | 6769  | 4.2033          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 968.0  | 6776  | 4.2043          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 969.0  | 6783  | 4.2054          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 970.0  | 6790  | 4.2065          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 971.0  | 6797  | 4.2075          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 972.0  | 6804  | 4.2085          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 973.0  | 6811  | 4.2095          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 974.0  | 6818  | 4.2106          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 975.0  | 6825  | 4.2116          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 976.0  | 6832  | 4.2126          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 977.0  | 6839  | 4.2136          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 978.0  | 6846  | 4.2147          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 979.0  | 6853  | 4.2157          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 980.0  | 6860  | 4.2167          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 981.0  | 6867  | 4.2177          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 982.0  | 6874  | 4.2187          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 983.0  | 6881  | 4.2196          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 984.0  | 6888  | 4.2206          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 985.0  | 6895  | 4.2216          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 986.0  | 6902  | 4.2227          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 987.0  | 6909  | 4.2237          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 988.0  | 6916  | 4.2247          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 989.0  | 6923  | 4.2258          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 990.0  | 6930  | 4.2268          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 991.0  | 6937  | 4.2278          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 992.0  | 6944  | 4.2288          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 993.0  | 6951  | 4.2298          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 994.0  | 6958  | 4.2309          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 995.0  | 6965  | 4.2319          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 996.0  | 6972  | 4.2329          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 997.0  | 6979  | 4.2339          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 998.0  | 6986  | 4.2349          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 999.0  | 6993  | 4.2359          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1000.0 | 7000  | 4.2370          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1001.0 | 7007  | 4.2380          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1002.0 | 7014  | 4.2391          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1003.0 | 7021  | 4.2401          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1004.0 | 7028  | 4.2411          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1005.0 | 7035  | 4.2421          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1006.0 | 7042  | 4.2430          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1007.0 | 7049  | 4.2440          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1008.0 | 7056  | 4.2450          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1009.0 | 7063  | 4.2460          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1010.0 | 7070  | 4.2471          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1011.0 | 7077  | 4.2481          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1012.0 | 7084  | 4.2491          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1013.0 | 7091  | 4.2501          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1014.0 | 7098  | 4.2511          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1015.0 | 7105  | 4.2511          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1016.0 | 7112  | 4.2516          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1017.0 | 7119  | 4.2524          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1018.0 | 7126  | 4.2532          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1019.0 | 7133  | 4.2542          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1020.0 | 7140  | 4.2551          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1021.0 | 7147  | 4.2561          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1022.0 | 7154  | 4.2572          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1023.0 | 7161  | 4.2582          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1024.0 | 7168  | 4.2593          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1025.0 | 7175  | 4.2603          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1026.0 | 7182  | 4.2613          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1027.0 | 7189  | 4.2623          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1028.0 | 7196  | 4.2633          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1029.0 | 7203  | 4.2644          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1030.0 | 7210  | 4.2653          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1031.0 | 7217  | 4.2663          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1032.0 | 7224  | 4.2672          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1033.0 | 7231  | 4.2682          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1034.0 | 7238  | 4.2692          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1035.0 | 7245  | 4.2702          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1036.0 | 7252  | 4.2712          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1037.0 | 7259  | 4.2721          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1038.0 | 7266  | 4.2731          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1039.0 | 7273  | 4.2741          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1040.0 | 7280  | 4.2750          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1041.0 | 7287  | 4.2760          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1042.0 | 7294  | 4.2770          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1043.0 | 7301  | 4.2780          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1044.0 | 7308  | 4.2790          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1045.0 | 7315  | 4.2800          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1046.0 | 7322  | 4.2810          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1047.0 | 7329  | 4.2820          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1048.0 | 7336  | 4.2829          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1049.0 | 7343  | 4.2839          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1050.0 | 7350  | 4.2849          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1051.0 | 7357  | 4.2858          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1052.0 | 7364  | 4.2868          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1053.0 | 7371  | 4.2878          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1054.0 | 7378  | 4.2887          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1055.0 | 7385  | 4.2897          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1056.0 | 7392  | 4.2906          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1057.0 | 7399  | 4.2916          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1058.0 | 7406  | 4.2926          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1059.0 | 7413  | 4.2936          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1060.0 | 7420  | 4.2946          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1061.0 | 7427  | 4.2955          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1062.0 | 7434  | 4.2965          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1063.0 | 7441  | 4.2974          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1064.0 | 7448  | 4.2984          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1065.0 | 7455  | 4.2994          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1066.0 | 7462  | 4.3004          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1067.0 | 7469  | 4.3013          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1068.0 | 7476  | 4.3023          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1069.0 | 7483  | 4.3033          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1070.0 | 7490  | 4.3043          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1071.0 | 7497  | 4.3053          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1072.0 | 7504  | 4.3062          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1073.0 | 7511  | 4.3072          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1074.0 | 7518  | 4.3081          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1075.0 | 7525  | 4.3091          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1076.0 | 7532  | 4.3101          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1077.0 | 7539  | 4.3110          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1078.0 | 7546  | 4.3119          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1079.0 | 7553  | 4.3129          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1080.0 | 7560  | 4.3138          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1081.0 | 7567  | 4.3148          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1082.0 | 7574  | 4.3157          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1083.0 | 7581  | 4.3166          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1084.0 | 7588  | 4.3176          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1085.0 | 7595  | 4.3185          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1086.0 | 7602  | 4.3194          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1087.0 | 7609  | 4.3204          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1088.0 | 7616  | 4.3213          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1089.0 | 7623  | 4.3223          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1090.0 | 7630  | 4.3232          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1091.0 | 7637  | 4.3241          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1092.0 | 7644  | 4.3251          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1093.0 | 7651  | 4.3260          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1094.0 | 7658  | 4.3270          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1095.0 | 7665  | 4.3279          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1096.0 | 7672  | 4.3264          | {'f1': 0.8162291169451074} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1097.0 | 7679  | 4.3262          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1098.0 | 7686  | 4.3266          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1099.0 | 7693  | 4.3272          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1100.0 | 7700  | 4.3280          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1101.0 | 7707  | 4.3289          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1102.0 | 7714  | 4.3297          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1103.0 | 7721  | 4.3306          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1104.0 | 7728  | 4.3316          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1105.0 | 7735  | 4.3324          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1106.0 | 7742  | 4.3334          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1107.0 | 7749  | 4.3343          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1108.0 | 7756  | 4.3352          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1109.0 | 7763  | 4.3360          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1110.0 | 7770  | 4.3369          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1111.0 | 7777  | 4.3378          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1112.0 | 7784  | 4.3387          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1113.0 | 7791  | 4.3396          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1114.0 | 7798  | 4.3405          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1115.0 | 7805  | 4.3414          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1116.0 | 7812  | 4.3423          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1117.0 | 7819  | 4.3432          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1118.0 | 7826  | 4.3441          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1119.0 | 7833  | 4.3451          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1120.0 | 7840  | 4.3460          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1121.0 | 7847  | 4.3469          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1122.0 | 7854  | 4.3478          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1123.0 | 7861  | 4.3487          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1124.0 | 7868  | 4.3496          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1125.0 | 7875  | 4.3505          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1126.0 | 7882  | 4.3514          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1127.0 | 7889  | 4.3523          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1128.0 | 7896  | 4.3532          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1129.0 | 7903  | 4.3541          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1130.0 | 7910  | 4.3550          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1131.0 | 7917  | 4.3559          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1132.0 | 7924  | 4.3568          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1133.0 | 7931  | 4.3576          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1134.0 | 7938  | 4.3585          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1135.0 | 7945  | 4.3594          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1136.0 | 7952  | 4.3603          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1137.0 | 7959  | 4.3612          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1138.0 | 7966  | 4.3620          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1139.0 | 7973  | 4.3628          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1140.0 | 7980  | 4.3637          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1141.0 | 7987  | 4.3646          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1142.0 | 7994  | 4.3655          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1143.0 | 8001  | 4.3665          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1144.0 | 8008  | 4.3674          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1145.0 | 8015  | 4.3683          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1146.0 | 8022  | 4.3692          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1147.0 | 8029  | 4.3701          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1148.0 | 8036  | 4.3710          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1149.0 | 8043  | 4.3719          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1150.0 | 8050  | 4.3728          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1151.0 | 8057  | 4.3737          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1152.0 | 8064  | 4.3746          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1153.0 | 8071  | 4.3755          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1154.0 | 8078  | 4.3764          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1155.0 | 8085  | 4.3773          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1156.0 | 8092  | 4.3781          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1157.0 | 8099  | 4.3790          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1158.0 | 8106  | 4.3800          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1159.0 | 8113  | 4.3808          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1160.0 | 8120  | 4.3818          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1161.0 | 8127  | 4.3827          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1162.0 | 8134  | 4.3836          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1163.0 | 8141  | 4.3845          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1164.0 | 8148  | 4.3853          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1165.0 | 8155  | 4.3862          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1166.0 | 8162  | 4.3871          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1167.0 | 8169  | 4.3880          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1168.0 | 8176  | 4.3889          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1169.0 | 8183  | 4.3898          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1170.0 | 8190  | 4.3907          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1171.0 | 8197  | 4.3915          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1172.0 | 8204  | 4.3924          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1173.0 | 8211  | 4.3933          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1174.0 | 8218  | 4.3941          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1175.0 | 8225  | 4.3950          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1176.0 | 8232  | 4.3959          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1177.0 | 8239  | 4.3968          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1178.0 | 8246  | 4.3976          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1179.0 | 8253  | 4.3985          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1180.0 | 8260  | 4.3993          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1181.0 | 8267  | 4.4002          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1182.0 | 8274  | 4.4010          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1183.0 | 8281  | 4.4019          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1184.0 | 8288  | 4.4028          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1185.0 | 8295  | 4.4037          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1186.0 | 8302  | 4.4045          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1187.0 | 8309  | 4.4054          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1188.0 | 8316  | 4.4063          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1189.0 | 8323  | 4.4072          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1190.0 | 8330  | 4.4080          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1191.0 | 8337  | 4.4089          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1192.0 | 8344  | 4.4098          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1193.0 | 8351  | 4.4107          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1194.0 | 8358  | 4.4116          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1195.0 | 8365  | 4.4124          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1196.0 | 8372  | 4.4133          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1197.0 | 8379  | 4.4141          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1198.0 | 8386  | 4.4149          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1199.0 | 8393  | 4.4158          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1200.0 | 8400  | 4.4166          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1201.0 | 8407  | 4.4175          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1202.0 | 8414  | 4.4183          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1203.0 | 8421  | 4.4191          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1204.0 | 8428  | 4.4200          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1205.0 | 8435  | 4.4208          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1206.0 | 8442  | 4.4217          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1207.0 | 8449  | 4.4225          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1208.0 | 8456  | 4.4234          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1209.0 | 8463  | 4.4242          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1210.0 | 8470  | 4.4251          | {'f1': 0.8167164179104478} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1211.0 | 8477  | 4.4259          | {'f1': 0.8172043010752689} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1212.0 | 8484  | 4.4268          | {'f1': 0.8172043010752689} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1213.0 | 8491  | 4.4276          | {'f1': 0.8172043010752689} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1214.0 | 8498  | 4.4285          | {'f1': 0.8172043010752689} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1215.0 | 8505  | 4.4294          | {'f1': 0.8172043010752689} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1216.0 | 8512  | 4.4302          | {'f1': 0.8172043010752689} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1217.0 | 8519  | 4.4311          | {'f1': 0.8172043010752689} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1218.0 | 8526  | 4.4320          | {'f1': 0.8172043010752689} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1219.0 | 8533  | 4.4328          | {'f1': 0.8172043010752689} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1220.0 | 8540  | 4.4336          | {'f1': 0.8172043010752689} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1221.0 | 8547  | 4.4344          | {'f1': 0.8172043010752689} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1222.0 | 8554  | 4.4353          | {'f1': 0.8172043010752689} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1223.0 | 8561  | 4.4355          | {'f1': 0.8172043010752689} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1224.0 | 8568  | 4.4351          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1225.0 | 8575  | 4.4354          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1226.0 | 8582  | 4.4360          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1227.0 | 8589  | 4.4368          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1228.0 | 8596  | 4.4376          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1229.0 | 8603  | 4.4385          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1230.0 | 8610  | 4.4393          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1231.0 | 8617  | 4.4403          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1232.0 | 8624  | 4.4411          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1233.0 | 8631  | 4.4420          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1234.0 | 8638  | 4.4429          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1235.0 | 8645  | 4.4438          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1236.0 | 8652  | 4.4446          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1237.0 | 8659  | 4.4454          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1238.0 | 8666  | 4.4462          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1239.0 | 8673  | 4.4471          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1240.0 | 8680  | 4.4479          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1241.0 | 8687  | 4.4487          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1242.0 | 8694  | 4.4496          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1243.0 | 8701  | 4.4504          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1244.0 | 8708  | 4.4512          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1245.0 | 8715  | 4.4520          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1246.0 | 8722  | 4.4528          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1247.0 | 8729  | 4.4537          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1248.0 | 8736  | 4.4546          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1249.0 | 8743  | 4.4554          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1250.0 | 8750  | 4.4563          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1251.0 | 8757  | 4.4571          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1252.0 | 8764  | 4.4580          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1253.0 | 8771  | 4.4588          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1254.0 | 8778  | 4.4597          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1255.0 | 8785  | 4.4605          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1256.0 | 8792  | 4.4614          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1257.0 | 8799  | 4.4622          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1258.0 | 8806  | 4.4630          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1259.0 | 8813  | 4.4639          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1260.0 | 8820  | 4.4647          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1261.0 | 8827  | 4.4655          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1262.0 | 8834  | 4.4664          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1263.0 | 8841  | 4.4672          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1264.0 | 8848  | 4.4680          | {'f1': 0.8164973102211596} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1265.0 | 8855  | 4.4688          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1266.0 | 8862  | 4.4697          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1267.0 | 8869  | 4.4705          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1268.0 | 8876  | 4.4712          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1269.0 | 8883  | 4.4720          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1270.0 | 8890  | 4.4728          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1271.0 | 8897  | 4.4736          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1272.0 | 8904  | 4.4744          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1273.0 | 8911  | 4.4753          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1274.0 | 8918  | 4.4761          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1275.0 | 8925  | 4.4769          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1276.0 | 8932  | 4.4778          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1277.0 | 8939  | 4.4786          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1278.0 | 8946  | 4.4794          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1279.0 | 8953  | 4.4803          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1280.0 | 8960  | 4.4811          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1281.0 | 8967  | 4.4820          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1282.0 | 8974  | 4.4829          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1283.0 | 8981  | 4.4837          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1284.0 | 8988  | 4.4845          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1285.0 | 8995  | 4.4853          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1286.0 | 9002  | 4.4861          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1287.0 | 9009  | 4.4869          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1288.0 | 9016  | 4.4877          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1289.0 | 9023  | 4.4885          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1290.0 | 9030  | 4.4893          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1291.0 | 9037  | 4.4901          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1292.0 | 9044  | 4.4909          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1293.0 | 9051  | 4.4917          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1294.0 | 9058  | 4.4925          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1295.0 | 9065  | 4.4934          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1296.0 | 9072  | 4.4942          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1297.0 | 9079  | 4.4950          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1298.0 | 9086  | 4.4958          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1299.0 | 9093  | 4.4965          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1300.0 | 9100  | 4.4973          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1301.0 | 9107  | 4.4982          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1302.0 | 9114  | 4.4990          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1303.0 | 9121  | 4.4998          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1304.0 | 9128  | 4.5007          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1305.0 | 9135  | 4.5015          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1306.0 | 9142  | 4.5023          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1307.0 | 9149  | 4.5031          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1308.0 | 9156  | 4.5039          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1309.0 | 9163  | 4.5047          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1310.0 | 9170  | 4.5055          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1311.0 | 9177  | 4.5063          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1312.0 | 9184  | 4.5071          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1313.0 | 9191  | 4.5080          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1314.0 | 9198  | 4.5088          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1315.0 | 9205  | 4.5096          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1316.0 | 9212  | 4.5104          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1317.0 | 9219  | 4.5112          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1318.0 | 9226  | 4.5120          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1319.0 | 9233  | 4.5129          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1320.0 | 9240  | 4.5137          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1321.0 | 9247  | 4.5146          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1322.0 | 9254  | 4.5154          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1323.0 | 9261  | 4.5162          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1324.0 | 9268  | 4.5169          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1325.0 | 9275  | 4.5177          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1326.0 | 9282  | 4.5185          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1327.0 | 9289  | 4.5193          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1328.0 | 9296  | 4.5201          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1329.0 | 9303  | 4.5209          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1330.0 | 9310  | 4.5217          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1331.0 | 9317  | 4.5225          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1332.0 | 9324  | 4.5233          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1333.0 | 9331  | 4.5242          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1334.0 | 9338  | 4.5250          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1335.0 | 9345  | 4.5258          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1336.0 | 9352  | 4.5266          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1337.0 | 9359  | 4.5274          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1338.0 | 9366  | 4.5282          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1339.0 | 9373  | 4.5290          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1340.0 | 9380  | 4.5298          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1341.0 | 9387  | 4.5306          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1342.0 | 9394  | 4.5314          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1343.0 | 9401  | 4.5322          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1344.0 | 9408  | 4.5330          | {'f1': 0.8169856459330144} | {'accuracy': 0.7066155321188878} |
| 0.0           | 1345.0 | 9415  | 4.5338          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1346.0 | 9422  | 4.5345          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1347.0 | 9429  | 4.5353          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1348.0 | 9436  | 4.5361          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1349.0 | 9443  | 4.5368          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1350.0 | 9450  | 4.5376          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1351.0 | 9457  | 4.5383          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1352.0 | 9464  | 4.5391          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1353.0 | 9471  | 4.5399          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1354.0 | 9478  | 4.5407          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1355.0 | 9485  | 4.5415          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1356.0 | 9492  | 4.5422          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1357.0 | 9499  | 4.5430          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1358.0 | 9506  | 4.5437          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1359.0 | 9513  | 4.5446          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1360.0 | 9520  | 4.5454          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1361.0 | 9527  | 4.5462          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1362.0 | 9534  | 4.5470          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1363.0 | 9541  | 4.5477          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1364.0 | 9548  | 4.5484          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1365.0 | 9555  | 4.5492          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1366.0 | 9562  | 4.5499          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1367.0 | 9569  | 4.5507          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1368.0 | 9576  | 4.5515          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1369.0 | 9583  | 4.5522          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1370.0 | 9590  | 4.5530          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1371.0 | 9597  | 4.5538          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1372.0 | 9604  | 4.5546          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1373.0 | 9611  | 4.5553          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1374.0 | 9618  | 4.5561          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1375.0 | 9625  | 4.5568          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1376.0 | 9632  | 4.5576          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1377.0 | 9639  | 4.5583          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1378.0 | 9646  | 4.5590          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1379.0 | 9653  | 4.5598          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1380.0 | 9660  | 4.5605          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1381.0 | 9667  | 4.5613          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1382.0 | 9674  | 4.5620          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1383.0 | 9681  | 4.5628          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1384.0 | 9688  | 4.5635          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1385.0 | 9695  | 4.5643          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1386.0 | 9702  | 4.5650          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1387.0 | 9709  | 4.5657          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1388.0 | 9716  | 4.5664          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1389.0 | 9723  | 4.5671          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1390.0 | 9730  | 4.5679          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1391.0 | 9737  | 4.5687          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1392.0 | 9744  | 4.5694          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1393.0 | 9751  | 4.5702          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1394.0 | 9758  | 4.5709          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1395.0 | 9765  | 4.5717          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1396.0 | 9772  | 4.5724          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1397.0 | 9779  | 4.5731          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1398.0 | 9786  | 4.5739          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1399.0 | 9793  | 4.5746          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1400.0 | 9800  | 4.5753          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1401.0 | 9807  | 4.5760          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1402.0 | 9814  | 4.5767          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1403.0 | 9821  | 4.5775          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1404.0 | 9828  | 4.5782          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1405.0 | 9835  | 4.5789          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1406.0 | 9842  | 4.5796          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1407.0 | 9849  | 4.5804          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1408.0 | 9856  | 4.5811          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1409.0 | 9863  | 4.5819          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1410.0 | 9870  | 4.5826          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1411.0 | 9877  | 4.5834          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1412.0 | 9884  | 4.5841          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1413.0 | 9891  | 4.5849          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1414.0 | 9898  | 4.5856          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1415.0 | 9905  | 4.5863          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1416.0 | 9912  | 4.5870          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1417.0 | 9919  | 4.5878          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1418.0 | 9926  | 4.5885          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1419.0 | 9933  | 4.5891          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1420.0 | 9940  | 4.5898          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1421.0 | 9947  | 4.5905          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1422.0 | 9954  | 4.5913          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1423.0 | 9961  | 4.5920          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1424.0 | 9968  | 4.5928          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1425.0 | 9975  | 4.5935          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1426.0 | 9982  | 4.5943          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1427.0 | 9989  | 4.5951          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1428.0 | 9996  | 4.5958          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1429.0 | 10003 | 4.5965          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1430.0 | 10010 | 4.5972          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1431.0 | 10017 | 4.5979          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1432.0 | 10024 | 4.5985          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1433.0 | 10031 | 4.5992          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1434.0 | 10038 | 4.5999          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1435.0 | 10045 | 4.6006          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1436.0 | 10052 | 4.6013          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1437.0 | 10059 | 4.6020          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1438.0 | 10066 | 4.6027          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1439.0 | 10073 | 4.6034          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1440.0 | 10080 | 4.6041          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1441.0 | 10087 | 4.6049          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1442.0 | 10094 | 4.6056          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1443.0 | 10101 | 4.6063          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1444.0 | 10108 | 4.6070          | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1445.0 | 10115 | 4.6077          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1446.0 | 10122 | 4.6083          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1447.0 | 10129 | 4.6090          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1448.0 | 10136 | 4.6096          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1449.0 | 10143 | 4.6103          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1450.0 | 10150 | 4.6110          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1451.0 | 10157 | 4.6117          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1452.0 | 10164 | 4.6124          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1453.0 | 10171 | 4.6132          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1454.0 | 10178 | 4.6139          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1455.0 | 10185 | 4.6146          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1456.0 | 10192 | 4.6153          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1457.0 | 10199 | 4.6159          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1458.0 | 10206 | 4.6166          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1459.0 | 10213 | 4.6173          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1460.0 | 10220 | 4.6180          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1461.0 | 10227 | 4.6186          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1462.0 | 10234 | 4.6193          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1463.0 | 10241 | 4.6199          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1464.0 | 10248 | 4.6206          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1465.0 | 10255 | 4.6213          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1466.0 | 10262 | 4.6219          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1467.0 | 10269 | 4.6226          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1468.0 | 10276 | 4.6233          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1469.0 | 10283 | 4.6239          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1470.0 | 10290 | 4.6246          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1471.0 | 10297 | 4.6252          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1472.0 | 10304 | 4.6259          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1473.0 | 10311 | 4.6265          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1474.0 | 10318 | 4.6272          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1475.0 | 10325 | 4.6279          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1476.0 | 10332 | 4.6286          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1477.0 | 10339 | 4.6293          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1478.0 | 10346 | 4.6300          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1479.0 | 10353 | 4.6306          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1480.0 | 10360 | 4.6313          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1481.0 | 10367 | 4.6320          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1482.0 | 10374 | 4.6326          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1483.0 | 10381 | 4.6333          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1484.0 | 10388 | 4.6340          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1485.0 | 10395 | 4.6347          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1486.0 | 10402 | 4.6353          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1487.0 | 10409 | 4.6359          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1488.0 | 10416 | 4.6366          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1489.0 | 10423 | 4.6372          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1490.0 | 10430 | 4.6378          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1491.0 | 10437 | 4.6385          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1492.0 | 10444 | 4.6392          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1493.0 | 10451 | 4.6399          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1494.0 | 10458 | 4.6405          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1495.0 | 10465 | 4.6411          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1496.0 | 10472 | 4.6418          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1497.0 | 10479 | 4.6424          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1498.0 | 10486 | 4.6431          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1499.0 | 10493 | 4.6437          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1500.0 | 10500 | 4.6443          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1501.0 | 10507 | 4.6450          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1502.0 | 10514 | 4.6456          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1503.0 | 10521 | 4.6462          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1504.0 | 10528 | 4.6468          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1505.0 | 10535 | 4.6474          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1506.0 | 10542 | 4.6480          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1507.0 | 10549 | 4.6486          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1508.0 | 10556 | 4.6492          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1509.0 | 10563 | 4.6498          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1510.0 | 10570 | 4.6505          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1511.0 | 10577 | 4.6511          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1512.0 | 10584 | 4.6518          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1513.0 | 10591 | 4.6524          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1514.0 | 10598 | 4.6531          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1515.0 | 10605 | 4.6537          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1516.0 | 10612 | 4.6543          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1517.0 | 10619 | 4.6549          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1518.0 | 10626 | 4.6555          | {'f1': 0.8155688622754492} | {'accuracy': 0.7046979865771812} |
| 0.0           | 1519.0 | 10633 | 4.6562          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1520.0 | 10640 | 4.6568          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1521.0 | 10647 | 4.6575          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1522.0 | 10654 | 4.6581          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1523.0 | 10661 | 4.6587          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1524.0 | 10668 | 4.6593          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1525.0 | 10675 | 4.6600          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1526.0 | 10682 | 4.6606          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1527.0 | 10689 | 4.6612          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1528.0 | 10696 | 4.6618          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1529.0 | 10703 | 4.6624          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1530.0 | 10710 | 4.6630          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1531.0 | 10717 | 4.6636          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1532.0 | 10724 | 4.6643          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1533.0 | 10731 | 4.6649          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1534.0 | 10738 | 4.6655          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1535.0 | 10745 | 4.6661          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1536.0 | 10752 | 4.6668          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1537.0 | 10759 | 4.6674          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1538.0 | 10766 | 4.6681          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1539.0 | 10773 | 4.6687          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1540.0 | 10780 | 4.6693          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1541.0 | 10787 | 4.6700          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1542.0 | 10794 | 4.6706          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1543.0 | 10801 | 4.6712          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1544.0 | 10808 | 4.6719          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1545.0 | 10815 | 4.6725          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1546.0 | 10822 | 4.6731          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1547.0 | 10829 | 4.6737          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1548.0 | 10836 | 4.6744          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1549.0 | 10843 | 4.6750          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1550.0 | 10850 | 4.6755          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1551.0 | 10857 | 4.6762          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1552.0 | 10864 | 4.6768          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1553.0 | 10871 | 4.6774          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1554.0 | 10878 | 4.6779          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1555.0 | 10885 | 4.6785          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1556.0 | 10892 | 4.6791          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1557.0 | 10899 | 4.6797          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1558.0 | 10906 | 4.6803          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1559.0 | 10913 | 4.6809          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1560.0 | 10920 | 4.6815          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1561.0 | 10927 | 4.6821          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1562.0 | 10934 | 4.6827          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1563.0 | 10941 | 4.6834          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1564.0 | 10948 | 4.6840          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1565.0 | 10955 | 4.6847          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1566.0 | 10962 | 4.6853          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1567.0 | 10969 | 4.6859          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1568.0 | 10976 | 4.6865          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1569.0 | 10983 | 4.6871          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1570.0 | 10990 | 4.6877          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1571.0 | 10997 | 4.6883          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1572.0 | 11004 | 4.6889          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1573.0 | 11011 | 4.6895          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1574.0 | 11018 | 4.6900          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1575.0 | 11025 | 4.6906          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1576.0 | 11032 | 4.6912          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1577.0 | 11039 | 4.6917          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1578.0 | 11046 | 4.6923          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1579.0 | 11053 | 4.6929          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1580.0 | 11060 | 4.6935          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1581.0 | 11067 | 4.6941          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1582.0 | 11074 | 4.6947          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1583.0 | 11081 | 4.6952          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1584.0 | 11088 | 4.6958          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1585.0 | 11095 | 4.6964          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1586.0 | 11102 | 4.6970          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1587.0 | 11109 | 4.6976          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1588.0 | 11116 | 4.6982          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1589.0 | 11123 | 4.6988          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1590.0 | 11130 | 4.6993          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1591.0 | 11137 | 4.6999          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1592.0 | 11144 | 4.7005          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1593.0 | 11151 | 4.7011          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1594.0 | 11158 | 4.7016          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1595.0 | 11165 | 4.7022          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1596.0 | 11172 | 4.7027          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1597.0 | 11179 | 4.7033          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1598.0 | 11186 | 4.7039          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1599.0 | 11193 | 4.7044          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1600.0 | 11200 | 4.7050          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1601.0 | 11207 | 4.7056          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1602.0 | 11214 | 4.7061          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1603.0 | 11221 | 4.7067          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1604.0 | 11228 | 4.7072          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1605.0 | 11235 | 4.7077          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1606.0 | 11242 | 4.7082          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1607.0 | 11249 | 4.7088          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1608.0 | 11256 | 4.7093          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1609.0 | 11263 | 4.7099          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1610.0 | 11270 | 4.7104          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1611.0 | 11277 | 4.7110          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1612.0 | 11284 | 4.7115          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1613.0 | 11291 | 4.7121          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1614.0 | 11298 | 4.7127          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1615.0 | 11305 | 4.7132          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1616.0 | 11312 | 4.7138          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1617.0 | 11319 | 4.7144          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1618.0 | 11326 | 4.7149          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1619.0 | 11333 | 4.7154          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1620.0 | 11340 | 4.7160          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1621.0 | 11347 | 4.7165          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1622.0 | 11354 | 4.7170          | {'f1': 0.8160575194727382} | {'accuracy': 0.7056567593480345} |
| 0.0           | 1623.0 | 11361 | 4.7176          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1624.0 | 11368 | 4.7181          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1625.0 | 11375 | 4.7187          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1626.0 | 11382 | 4.7192          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1627.0 | 11389 | 4.7197          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1628.0 | 11396 | 4.7203          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1629.0 | 11403 | 4.7208          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1630.0 | 11410 | 4.7213          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1631.0 | 11417 | 4.7218          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1632.0 | 11424 | 4.7224          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1633.0 | 11431 | 4.7229          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1634.0 | 11438 | 4.7234          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1635.0 | 11445 | 4.7239          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1636.0 | 11452 | 4.7244          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1637.0 | 11459 | 4.7250          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1638.0 | 11466 | 4.7255          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1639.0 | 11473 | 4.7260          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1640.0 | 11480 | 4.7265          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1641.0 | 11487 | 4.7270          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1642.0 | 11494 | 4.7276          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1643.0 | 11501 | 4.7281          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1644.0 | 11508 | 4.7286          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1645.0 | 11515 | 4.7292          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1646.0 | 11522 | 4.7297          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1647.0 | 11529 | 4.7303          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1648.0 | 11536 | 4.7308          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1649.0 | 11543 | 4.7313          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1650.0 | 11550 | 4.7318          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1651.0 | 11557 | 4.7323          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1652.0 | 11564 | 4.7329          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1653.0 | 11571 | 4.7334          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1654.0 | 11578 | 4.7339          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1655.0 | 11585 | 4.7344          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1656.0 | 11592 | 4.7349          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1657.0 | 11599 | 4.7354          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1658.0 | 11606 | 4.7359          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1659.0 | 11613 | 4.7364          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1660.0 | 11620 | 4.7369          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1661.0 | 11627 | 4.7375          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1662.0 | 11634 | 4.7379          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1663.0 | 11641 | 4.7385          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1664.0 | 11648 | 4.7390          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1665.0 | 11655 | 4.7395          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1666.0 | 11662 | 4.7400          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1667.0 | 11669 | 4.7405          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1668.0 | 11676 | 4.7410          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1669.0 | 11683 | 4.7416          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1670.0 | 11690 | 4.7421          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1671.0 | 11697 | 4.7426          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1672.0 | 11704 | 4.7431          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1673.0 | 11711 | 4.7435          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1674.0 | 11718 | 4.7440          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1675.0 | 11725 | 4.7446          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1676.0 | 11732 | 4.7450          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1677.0 | 11739 | 4.7455          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1678.0 | 11746 | 4.7460          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1679.0 | 11753 | 4.7464          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1680.0 | 11760 | 4.7469          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1681.0 | 11767 | 4.7474          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1682.0 | 11774 | 4.7479          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1683.0 | 11781 | 4.7484          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1684.0 | 11788 | 4.7489          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1685.0 | 11795 | 4.7493          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1686.0 | 11802 | 4.7498          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1687.0 | 11809 | 4.7503          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1688.0 | 11816 | 4.7507          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1689.0 | 11823 | 4.7512          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1690.0 | 11830 | 4.7517          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1691.0 | 11837 | 4.7522          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1692.0 | 11844 | 4.7526          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1693.0 | 11851 | 4.7531          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1694.0 | 11858 | 4.7536          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1695.0 | 11865 | 4.7541          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1696.0 | 11872 | 4.7545          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1697.0 | 11879 | 4.7550          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1698.0 | 11886 | 4.7555          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1699.0 | 11893 | 4.7560          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1700.0 | 11900 | 4.7565          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1701.0 | 11907 | 4.7570          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1702.0 | 11914 | 4.7574          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1703.0 | 11921 | 4.7579          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1704.0 | 11928 | 4.7583          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1705.0 | 11935 | 4.7588          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1706.0 | 11942 | 4.7593          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1707.0 | 11949 | 4.7597          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1708.0 | 11956 | 4.7602          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1709.0 | 11963 | 4.7606          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1710.0 | 11970 | 4.7611          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1711.0 | 11977 | 4.7616          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1712.0 | 11984 | 4.7620          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1713.0 | 11991 | 4.7625          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1714.0 | 11998 | 4.7630          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1715.0 | 12005 | 4.7635          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1716.0 | 12012 | 4.7639          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1717.0 | 12019 | 4.7643          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1718.0 | 12026 | 4.7648          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1719.0 | 12033 | 4.7652          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1720.0 | 12040 | 4.7657          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1721.0 | 12047 | 4.7661          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1722.0 | 12054 | 4.7666          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1723.0 | 12061 | 4.7671          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1724.0 | 12068 | 4.7675          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1725.0 | 12075 | 4.7680          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1726.0 | 12082 | 4.7685          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1727.0 | 12089 | 4.7690          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1728.0 | 12096 | 4.7694          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1729.0 | 12103 | 4.7699          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1730.0 | 12110 | 4.7703          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1731.0 | 12117 | 4.7708          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1732.0 | 12124 | 4.7712          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1733.0 | 12131 | 4.7716          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1734.0 | 12138 | 4.7721          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1735.0 | 12145 | 4.7726          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1736.0 | 12152 | 4.7730          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1737.0 | 12159 | 4.7734          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1738.0 | 12166 | 4.7739          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1739.0 | 12173 | 4.7743          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1740.0 | 12180 | 4.7748          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1741.0 | 12187 | 4.7752          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1742.0 | 12194 | 4.7757          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1743.0 | 12201 | 4.7761          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1744.0 | 12208 | 4.7766          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1745.0 | 12215 | 4.7770          | {'f1': 0.815347721822542}  | {'accuracy': 0.7046979865771812} |
| 0.0           | 1746.0 | 12222 | 4.7774          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1747.0 | 12229 | 4.7778          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1748.0 | 12236 | 4.7783          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1749.0 | 12243 | 4.7787          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1750.0 | 12250 | 4.7791          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1751.0 | 12257 | 4.7795          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1752.0 | 12264 | 4.7800          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1753.0 | 12271 | 4.7805          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1754.0 | 12278 | 4.7809          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1755.0 | 12285 | 4.7814          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1756.0 | 12292 | 4.7818          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1757.0 | 12299 | 4.7822          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1758.0 | 12306 | 4.7826          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1759.0 | 12313 | 4.7830          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1760.0 | 12320 | 4.7835          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1761.0 | 12327 | 4.7838          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1762.0 | 12334 | 4.7842          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1763.0 | 12341 | 4.7846          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1764.0 | 12348 | 4.7851          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1765.0 | 12355 | 4.7855          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1766.0 | 12362 | 4.7859          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1767.0 | 12369 | 4.7863          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1768.0 | 12376 | 4.7867          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1769.0 | 12383 | 4.7871          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1770.0 | 12390 | 4.7875          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1771.0 | 12397 | 4.7879          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1772.0 | 12404 | 4.7882          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1773.0 | 12411 | 4.7886          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1774.0 | 12418 | 4.7890          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1775.0 | 12425 | 4.7894          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1776.0 | 12432 | 4.7898          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1777.0 | 12439 | 4.7902          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1778.0 | 12446 | 4.7906          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1779.0 | 12453 | 4.7910          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1780.0 | 12460 | 4.7914          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1781.0 | 12467 | 4.7918          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1782.0 | 12474 | 4.7922          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1783.0 | 12481 | 4.7926          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1784.0 | 12488 | 4.7930          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1785.0 | 12495 | 4.7933          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1786.0 | 12502 | 4.7937          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1787.0 | 12509 | 4.7941          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1788.0 | 12516 | 4.7945          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1789.0 | 12523 | 4.7949          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1790.0 | 12530 | 4.7953          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1791.0 | 12537 | 4.7956          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1792.0 | 12544 | 4.7961          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1793.0 | 12551 | 4.7964          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1794.0 | 12558 | 4.7968          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1795.0 | 12565 | 4.7972          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1796.0 | 12572 | 4.7976          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1797.0 | 12579 | 4.7980          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1798.0 | 12586 | 4.7984          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1799.0 | 12593 | 4.7988          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1800.0 | 12600 | 4.7992          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1801.0 | 12607 | 4.7996          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1802.0 | 12614 | 4.7999          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1803.0 | 12621 | 4.8003          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1804.0 | 12628 | 4.8006          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1805.0 | 12635 | 4.8010          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1806.0 | 12642 | 4.8013          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1807.0 | 12649 | 4.8017          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1808.0 | 12656 | 4.8020          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1809.0 | 12663 | 4.8024          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1810.0 | 12670 | 4.8027          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1811.0 | 12677 | 4.8031          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1812.0 | 12684 | 4.8034          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1813.0 | 12691 | 4.8038          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1814.0 | 12698 | 4.8042          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1815.0 | 12705 | 4.8045          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1816.0 | 12712 | 4.8049          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1817.0 | 12719 | 4.8052          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1818.0 | 12726 | 4.8056          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1819.0 | 12733 | 4.8059          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1820.0 | 12740 | 4.8062          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1821.0 | 12747 | 4.8066          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1822.0 | 12754 | 4.8069          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1823.0 | 12761 | 4.8073          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1824.0 | 12768 | 4.8076          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1825.0 | 12775 | 4.8079          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1826.0 | 12782 | 4.8083          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1827.0 | 12789 | 4.8086          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1828.0 | 12796 | 4.8090          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1829.0 | 12803 | 4.8093          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1830.0 | 12810 | 4.8096          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1831.0 | 12817 | 4.8100          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1832.0 | 12824 | 4.8103          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1833.0 | 12831 | 4.8106          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1834.0 | 12838 | 4.8109          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1835.0 | 12845 | 4.8112          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1836.0 | 12852 | 4.8115          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1837.0 | 12859 | 4.8119          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1838.0 | 12866 | 4.8122          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1839.0 | 12873 | 4.8125          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1840.0 | 12880 | 4.8129          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1841.0 | 12887 | 4.8132          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1842.0 | 12894 | 4.8136          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1843.0 | 12901 | 4.8139          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1844.0 | 12908 | 4.8142          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1845.0 | 12915 | 4.8146          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1846.0 | 12922 | 4.8149          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1847.0 | 12929 | 4.8152          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1848.0 | 12936 | 4.8155          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1849.0 | 12943 | 4.8158          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1850.0 | 12950 | 4.8161          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1851.0 | 12957 | 4.8164          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1852.0 | 12964 | 4.8168          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1853.0 | 12971 | 4.8171          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1854.0 | 12978 | 4.8174          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1855.0 | 12985 | 4.8177          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1856.0 | 12992 | 4.8180          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1857.0 | 12999 | 4.8183          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1858.0 | 13006 | 4.8185          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1859.0 | 13013 | 4.8188          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1860.0 | 13020 | 4.8191          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1861.0 | 13027 | 4.8194          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1862.0 | 13034 | 4.8196          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1863.0 | 13041 | 4.8199          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1864.0 | 13048 | 4.8202          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1865.0 | 13055 | 4.8205          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1866.0 | 13062 | 4.8208          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1867.0 | 13069 | 4.8210          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1868.0 | 13076 | 4.8213          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1869.0 | 13083 | 4.8216          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1870.0 | 13090 | 4.8219          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1871.0 | 13097 | 4.8222          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1872.0 | 13104 | 4.8224          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1873.0 | 13111 | 4.8227          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1874.0 | 13118 | 4.8230          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1875.0 | 13125 | 4.8232          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1876.0 | 13132 | 4.8235          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1877.0 | 13139 | 4.8238          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1878.0 | 13146 | 4.8240          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1879.0 | 13153 | 4.8243          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1880.0 | 13160 | 4.8245          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1881.0 | 13167 | 4.8248          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1882.0 | 13174 | 4.8250          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1883.0 | 13181 | 4.8253          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1884.0 | 13188 | 4.8256          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1885.0 | 13195 | 4.8259          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1886.0 | 13202 | 4.8262          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1887.0 | 13209 | 4.8264          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1888.0 | 13216 | 4.8267          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1889.0 | 13223 | 4.8270          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1890.0 | 13230 | 4.8272          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1891.0 | 13237 | 4.8275          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1892.0 | 13244 | 4.8277          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1893.0 | 13251 | 4.8280          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1894.0 | 13258 | 4.8283          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1895.0 | 13265 | 4.8285          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1896.0 | 13272 | 4.8287          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1897.0 | 13279 | 4.8290          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1898.0 | 13286 | 4.8292          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1899.0 | 13293 | 4.8294          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1900.0 | 13300 | 4.8296          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1901.0 | 13307 | 4.8299          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1902.0 | 13314 | 4.8301          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1903.0 | 13321 | 4.8304          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1904.0 | 13328 | 4.8306          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1905.0 | 13335 | 4.8308          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1906.0 | 13342 | 4.8310          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1907.0 | 13349 | 4.8313          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1908.0 | 13356 | 4.8315          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1909.0 | 13363 | 4.8317          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1910.0 | 13370 | 4.8319          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1911.0 | 13377 | 4.8321          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1912.0 | 13384 | 4.8323          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1913.0 | 13391 | 4.8325          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1914.0 | 13398 | 4.8327          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1915.0 | 13405 | 4.8329          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1916.0 | 13412 | 4.8331          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1917.0 | 13419 | 4.8333          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1918.0 | 13426 | 4.8335          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1919.0 | 13433 | 4.8337          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1920.0 | 13440 | 4.8339          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1921.0 | 13447 | 4.8341          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1922.0 | 13454 | 4.8343          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1923.0 | 13461 | 4.8345          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1924.0 | 13468 | 4.8346          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1925.0 | 13475 | 4.8348          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1926.0 | 13482 | 4.8350          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1927.0 | 13489 | 4.8352          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1928.0 | 13496 | 4.8354          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1929.0 | 13503 | 4.8356          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1930.0 | 13510 | 4.8357          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1931.0 | 13517 | 4.8359          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1932.0 | 13524 | 4.8361          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1933.0 | 13531 | 4.8363          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1934.0 | 13538 | 4.8365          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1935.0 | 13545 | 4.8366          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1936.0 | 13552 | 4.8368          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1937.0 | 13559 | 4.8369          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1938.0 | 13566 | 4.8371          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1939.0 | 13573 | 4.8373          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1940.0 | 13580 | 4.8374          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1941.0 | 13587 | 4.8376          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1942.0 | 13594 | 4.8377          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1943.0 | 13601 | 4.8379          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1944.0 | 13608 | 4.8380          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1945.0 | 13615 | 4.8382          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1946.0 | 13622 | 4.8383          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1947.0 | 13629 | 4.8384          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1948.0 | 13636 | 4.8386          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1949.0 | 13643 | 4.8387          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1950.0 | 13650 | 4.8388          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1951.0 | 13657 | 4.8389          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1952.0 | 13664 | 4.8391          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1953.0 | 13671 | 4.8392          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1954.0 | 13678 | 4.8393          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1955.0 | 13685 | 4.8394          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1956.0 | 13692 | 4.8395          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1957.0 | 13699 | 4.8396          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1958.0 | 13706 | 4.8397          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1959.0 | 13713 | 4.8399          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1960.0 | 13720 | 4.8400          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1961.0 | 13727 | 4.8401          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1962.0 | 13734 | 4.8402          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1963.0 | 13741 | 4.8403          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1964.0 | 13748 | 4.8404          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1965.0 | 13755 | 4.8405          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1966.0 | 13762 | 4.8406          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1967.0 | 13769 | 4.8407          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1968.0 | 13776 | 4.8408          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1969.0 | 13783 | 4.8409          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1970.0 | 13790 | 4.8409          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1971.0 | 13797 | 4.8410          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1972.0 | 13804 | 4.8411          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1973.0 | 13811 | 4.8412          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1974.0 | 13818 | 4.8413          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1975.0 | 13825 | 4.8413          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1976.0 | 13832 | 4.8414          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1977.0 | 13839 | 4.8415          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1978.0 | 13846 | 4.8415          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1979.0 | 13853 | 4.8416          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1980.0 | 13860 | 4.8416          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1981.0 | 13867 | 4.8417          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1982.0 | 13874 | 4.8418          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1983.0 | 13881 | 4.8418          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1984.0 | 13888 | 4.8418          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1985.0 | 13895 | 4.8419          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1986.0 | 13902 | 4.8419          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1987.0 | 13909 | 4.8420          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1988.0 | 13916 | 4.8420          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1989.0 | 13923 | 4.8420          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1990.0 | 13930 | 4.8421          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1991.0 | 13937 | 4.8421          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1992.0 | 13944 | 4.8421          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1993.0 | 13951 | 4.8422          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1994.0 | 13958 | 4.8422          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1995.0 | 13965 | 4.8422          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1996.0 | 13972 | 4.8422          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1997.0 | 13979 | 4.8422          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1998.0 | 13986 | 4.8422          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 1999.0 | 13993 | 4.8422          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |
| 0.0           | 2000.0 | 14000 | 4.8422          | {'f1': 0.8146370725854829} | {'accuracy': 0.7037392138063279} |


### Framework versions

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