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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- f1
- accuracy
model-index:
- name: bert-base-uncased-test_16_4276
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base-uncased-test_16_4276
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: 1.9610
- F1: {'f1': 0.8828478964401294}
- Accuracy: {'accuracy': 0.8264621284755513}
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2000
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
|:-------------:|:------:|:------:|:---------------:|:--------------------------:|:--------------------------------:|
| No log | 1.0 | 268 | 0.6075 | {'f1': 0.8167895632444696} | {'accuracy': 0.6903163950143816} |
| 0.5944 | 2.0 | 536 | 0.5470 | {'f1': 0.8422315536892621} | {'accuracy': 0.74784276126558} |
| 0.5944 | 3.0 | 804 | 0.5450 | {'f1': 0.852195423623995} | {'accuracy': 0.7708533077660594} |
| 0.4872 | 4.0 | 1072 | 0.4844 | {'f1': 0.8598726114649682} | {'accuracy': 0.7890699904122723} |
| 0.4872 | 5.0 | 1340 | 0.4937 | {'f1': 0.866111467008328} | {'accuracy': 0.7996164908916586} |
| 0.4338 | 6.0 | 1608 | 0.4676 | {'f1': 0.8661518661518662} | {'accuracy': 0.800575263662512} |
| 0.4338 | 7.0 | 1876 | 0.4816 | {'f1': 0.8644175684277531} | {'accuracy': 0.7957813998082455} |
| 0.4056 | 8.0 | 2144 | 0.4739 | {'f1': 0.8718954248366014} | {'accuracy': 0.8120805369127517} |
| 0.4056 | 9.0 | 2412 | 0.4591 | {'f1': 0.8711974110032363} | {'accuracy': 0.8092042186001918} |
| 0.3849 | 10.0 | 2680 | 0.4851 | {'f1': 0.8745980707395499} | {'accuracy': 0.8130393096836049} |
| 0.3849 | 11.0 | 2948 | 0.5023 | {'f1': 0.8679722046746684} | {'accuracy': 0.7996164908916586} |
| 0.365 | 12.0 | 3216 | 0.5027 | {'f1': 0.8754813863928111} | {'accuracy': 0.8139980824544583} |
| 0.365 | 13.0 | 3484 | 0.4461 | {'f1': 0.876584389593062} | {'accuracy': 0.822627037392138} |
| 0.3358 | 14.0 | 3752 | 0.5491 | {'f1': 0.87000634115409} | {'accuracy': 0.8034515819750719} |
| 0.3241 | 15.0 | 4020 | 0.4550 | {'f1': 0.8793103448275862} | {'accuracy': 0.825503355704698} |
| 0.3241 | 16.0 | 4288 | 0.4668 | {'f1': 0.8797342192691031} | {'accuracy': 0.8264621284755513} |
| 0.3007 | 17.0 | 4556 | 0.5563 | {'f1': 0.8675914249684742} | {'accuracy': 0.7986577181208053} |
| 0.3007 | 18.0 | 4824 | 0.5609 | {'f1': 0.8685208596713022} | {'accuracy': 0.800575263662512} |
| 0.2956 | 19.0 | 5092 | 0.5625 | {'f1': 0.8734015345268541} | {'accuracy': 0.8101629913710451} |
| 0.2956 | 20.0 | 5360 | 0.5280 | {'f1': 0.8789644012944984} | {'accuracy': 0.8207094918504314} |
| 0.2683 | 21.0 | 5628 | 0.4948 | {'f1': 0.8785666887856669} | {'accuracy': 0.8245445829338447} |
| 0.2683 | 22.0 | 5896 | 0.5524 | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.2473 | 23.0 | 6164 | 0.5997 | {'f1': 0.8726114649681528} | {'accuracy': 0.8082454458293384} |
| 0.2473 | 24.0 | 6432 | 0.6329 | {'f1': 0.8749198203976909} | {'accuracy': 0.8130393096836049} |
| 0.2315 | 25.0 | 6700 | 0.5596 | {'f1': 0.880794701986755} | {'accuracy': 0.8274209012464045} |
| 0.2315 | 26.0 | 6968 | 0.6109 | {'f1': 0.8753993610223643} | {'accuracy': 0.8130393096836049} |
| 0.2331 | 27.0 | 7236 | 0.7069 | {'f1': 0.870499052432091} | {'accuracy': 0.8034515819750719} |
| 0.2181 | 28.0 | 7504 | 0.6684 | {'f1': 0.8723809523809525} | {'accuracy': 0.8072866730584851} |
| 0.2181 | 29.0 | 7772 | 0.6178 | {'f1': 0.8775376555337263} | {'accuracy': 0.8207094918504314} |
| 0.2032 | 30.0 | 8040 | 0.6018 | {'f1': 0.8776595744680851} | {'accuracy': 0.8235858101629914} |
| 0.2032 | 31.0 | 8308 | 0.6371 | {'f1': 0.8749189889825016} | {'accuracy': 0.8149568552253116} |
| 0.1951 | 32.0 | 8576 | 0.6444 | {'f1': 0.8764044943820225} | {'accuracy': 0.8207094918504314} |
| 0.1951 | 33.0 | 8844 | 0.7170 | {'f1': 0.8752399232245682} | {'accuracy': 0.8130393096836049} |
| 0.1947 | 34.0 | 9112 | 0.6962 | {'f1': 0.8825065274151437} | {'accuracy': 0.8274209012464045} |
| 0.1947 | 35.0 | 9380 | 0.7095 | {'f1': 0.8750800768737989} | {'accuracy': 0.8130393096836049} |
| 0.1762 | 36.0 | 9648 | 0.6583 | {'f1': 0.8814669286182057} | {'accuracy': 0.8264621284755513} |
| 0.1762 | 37.0 | 9916 | 0.6923 | {'f1': 0.8767833981841764} | {'accuracy': 0.8178331735378715} |
| 0.1697 | 38.0 | 10184 | 0.6824 | {'f1': 0.8797920727745288} | {'accuracy': 0.822627037392138} |
| 0.1697 | 39.0 | 10452 | 0.7424 | {'f1': 0.8743589743589745} | {'accuracy': 0.8120805369127517} |
| 0.1658 | 40.0 | 10720 | 0.6879 | {'f1': 0.8806855636123929} | {'accuracy': 0.8264621284755513} |
| 0.1658 | 41.0 | 10988 | 0.8173 | {'f1': 0.875} | {'accuracy': 0.8139980824544583} |
| 0.1515 | 42.0 | 11256 | 0.7634 | {'f1': 0.8776978417266187} | {'accuracy': 0.8207094918504314} |
| 0.1529 | 43.0 | 11524 | 0.7446 | {'f1': 0.877887788778878} | {'accuracy': 0.822627037392138} |
| 0.1529 | 44.0 | 11792 | 0.8827 | {'f1': 0.874274661508704} | {'accuracy': 0.8130393096836049} |
| 0.1379 | 45.0 | 12060 | 0.8475 | {'f1': 0.8757319453480807} | {'accuracy': 0.8168744007670182} |
| 0.1379 | 46.0 | 12328 | 0.8444 | {'f1': 0.8752449379490528} | {'accuracy': 0.8168744007670182} |
| 0.1385 | 47.0 | 12596 | 0.9618 | {'f1': 0.8685714285714287} | {'accuracy': 0.8015340364333653} |
| 0.1385 | 48.0 | 12864 | 0.8868 | {'f1': 0.8702388637830858} | {'accuracy': 0.8072866730584851} |
| 0.14 | 49.0 | 13132 | 1.0041 | {'f1': 0.8737988468930173} | {'accuracy': 0.8111217641418984} |
| 0.14 | 50.0 | 13400 | 1.0846 | {'f1': 0.8668769716088328} | {'accuracy': 0.7976989453499521} |
| 0.1307 | 51.0 | 13668 | 0.9921 | {'f1': 0.8688419705694178} | {'accuracy': 0.8034515819750719} |
| 0.1307 | 52.0 | 13936 | 0.9633 | {'f1': 0.8757319453480807} | {'accuracy': 0.8168744007670182} |
| 0.1112 | 53.0 | 14204 | 1.0211 | {'f1': 0.8733118971061095} | {'accuracy': 0.8111217641418984} |
| 0.1112 | 54.0 | 14472 | 1.1896 | {'f1': 0.8635794743429286} | {'accuracy': 0.7909875359539789} |
| 0.1309 | 55.0 | 14740 | 1.0013 | {'f1': 0.8700128700128702} | {'accuracy': 0.8063279002876318} |
| 0.1221 | 56.0 | 15008 | 1.0001 | {'f1': 0.8731487443657436} | {'accuracy': 0.8111217641418984} |
| 0.1221 | 57.0 | 15276 | 1.0049 | {'f1': 0.8772609819121446} | {'accuracy': 0.8178331735378715} |
| 0.1113 | 58.0 | 15544 | 1.0781 | {'f1': 0.8728434504792332} | {'accuracy': 0.8092042186001918} |
| 0.1113 | 59.0 | 15812 | 1.0977 | {'f1': 0.872680742162508} | {'accuracy': 0.8092042186001918} |
| 0.1115 | 60.0 | 16080 | 1.0472 | {'f1': 0.8706182281708095} | {'accuracy': 0.8053691275167785} |
| 0.1115 | 61.0 | 16348 | 0.9831 | {'f1': 0.870695256660169} | {'accuracy': 0.8092042186001918} |
| 0.098 | 62.0 | 16616 | 0.9927 | {'f1': 0.8719632304661851} | {'accuracy': 0.8130393096836049} |
| 0.098 | 63.0 | 16884 | 1.0695 | {'f1': 0.8738738738738738} | {'accuracy': 0.8120805369127517} |
| 0.1107 | 64.0 | 17152 | 1.0002 | {'f1': 0.8798955613577023} | {'accuracy': 0.8235858101629914} |
| 0.1107 | 65.0 | 17420 | 0.9707 | {'f1': 0.8787483702737942} | {'accuracy': 0.8216682646212847} |
| 0.1091 | 66.0 | 17688 | 1.0128 | {'f1': 0.8784313725490197} | {'accuracy': 0.8216682646212847} |
| 0.1091 | 67.0 | 17956 | 1.1134 | {'f1': 0.8717294192724951} | {'accuracy': 0.8072866730584851} |
| 0.1026 | 68.0 | 18224 | 1.0603 | {'f1': 0.8738501971090671} | {'accuracy': 0.8159156279961649} |
| 0.1026 | 69.0 | 18492 | 1.2804 | {'f1': 0.87017099430019} | {'accuracy': 0.8034515819750719} |
| 0.094 | 70.0 | 18760 | 1.0974 | {'f1': 0.8696210661528582} | {'accuracy': 0.8053691275167785} |
| 0.093 | 71.0 | 19028 | 1.2703 | {'f1': 0.8697850821744627} | {'accuracy': 0.8024928092042186} |
| 0.093 | 72.0 | 19296 | 1.2012 | {'f1': 0.875724404378622} | {'accuracy': 0.8149568552253116} |
| 0.0899 | 73.0 | 19564 | 1.1749 | {'f1': 0.875893437296946} | {'accuracy': 0.8168744007670182} |
| 0.0899 | 74.0 | 19832 | 1.0505 | {'f1': 0.8736842105263158} | {'accuracy': 0.8159156279961649} |
| 0.0903 | 75.0 | 20100 | 1.0960 | {'f1': 0.8766946417043254} | {'accuracy': 0.8168744007670182} |
| 0.0903 | 76.0 | 20368 | 1.2759 | {'f1': 0.8718592964824121} | {'accuracy': 0.8044103547459253} |
| 0.0842 | 77.0 | 20636 | 1.1268 | {'f1': 0.8711974110032363} | {'accuracy': 0.8092042186001918} |
| 0.0842 | 78.0 | 20904 | 1.1667 | {'f1': 0.8747566515249838} | {'accuracy': 0.8149568552253116} |
| 0.0816 | 79.0 | 21172 | 1.1139 | {'f1': 0.8699029126213591} | {'accuracy': 0.8072866730584851} |
| 0.0816 | 80.0 | 21440 | 1.1289 | {'f1': 0.8775113415424498} | {'accuracy': 0.8187919463087249} |
| 0.0773 | 81.0 | 21708 | 1.0792 | {'f1': 0.8777923784494087} | {'accuracy': 0.8216682646212847} |
| 0.0773 | 82.0 | 21976 | 1.1410 | {'f1': 0.877124183006536} | {'accuracy': 0.8197507190795782} |
| 0.0788 | 83.0 | 22244 | 1.3554 | {'f1': 0.8717624763108023} | {'accuracy': 0.8053691275167785} |
| 0.0817 | 84.0 | 22512 | 1.1553 | {'f1': 0.8709055876685934} | {'accuracy': 0.8072866730584851} |
| 0.0817 | 85.0 | 22780 | 1.1422 | {'f1': 0.8686739269698911} | {'accuracy': 0.8034515819750719} |
| 0.0733 | 86.0 | 23048 | 1.0853 | {'f1': 0.8755760368663594} | {'accuracy': 0.8187919463087249} |
| 0.0733 | 87.0 | 23316 | 1.2379 | {'f1': 0.8722860791826309} | {'accuracy': 0.8082454458293384} |
| 0.0776 | 88.0 | 23584 | 1.2913 | {'f1': 0.8748419721871048} | {'accuracy': 0.8101629913710451} |
| 0.0776 | 89.0 | 23852 | 1.1652 | {'f1': 0.8777633289986997} | {'accuracy': 0.8197507190795782} |
| 0.0708 | 90.0 | 24120 | 1.2576 | {'f1': 0.8766066838046273} | {'accuracy': 0.8159156279961649} |
| 0.0708 | 91.0 | 24388 | 1.1815 | {'f1': 0.8782383419689119} | {'accuracy': 0.8197507190795782} |
| 0.0631 | 92.0 | 24656 | 1.3106 | {'f1': 0.8732394366197184} | {'accuracy': 0.8101629913710451} |
| 0.0631 | 93.0 | 24924 | 1.2272 | {'f1': 0.8730769230769232} | {'accuracy': 0.8101629913710451} |
| 0.0696 | 94.0 | 25192 | 1.2953 | {'f1': 0.876765083440308} | {'accuracy': 0.8159156279961649} |
| 0.0696 | 95.0 | 25460 | 1.2844 | {'f1': 0.8754813863928111} | {'accuracy': 0.8139980824544583} |
| 0.0563 | 96.0 | 25728 | 1.2379 | {'f1': 0.8729427254772877} | {'accuracy': 0.8149568552253116} |
| 0.0563 | 97.0 | 25996 | 1.2850 | {'f1': 0.881664499349805} | {'accuracy': 0.825503355704698} |
| 0.0557 | 98.0 | 26264 | 1.2859 | {'f1': 0.8755641521598968} | {'accuracy': 0.8149568552253116} |
| 0.0683 | 99.0 | 26532 | 1.2102 | {'f1': 0.8745938921377518} | {'accuracy': 0.8149568552253116} |
| 0.0683 | 100.0 | 26800 | 1.2866 | {'f1': 0.8736369467607441} | {'accuracy': 0.8111217641418984} |
| 0.0638 | 101.0 | 27068 | 1.4307 | {'f1': 0.8683544303797468} | {'accuracy': 0.800575263662512} |
| 0.0638 | 102.0 | 27336 | 1.1488 | {'f1': 0.8734587929915639} | {'accuracy': 0.8130393096836049} |
| 0.0693 | 103.0 | 27604 | 1.1985 | {'f1': 0.8775376555337263} | {'accuracy': 0.8207094918504314} |
| 0.0693 | 104.0 | 27872 | 1.2900 | {'f1': 0.8746770025839793} | {'accuracy': 0.8139980824544583} |
| 0.064 | 105.0 | 28140 | 1.2855 | {'f1': 0.8754863813229572} | {'accuracy': 0.8159156279961649} |
| 0.064 | 106.0 | 28408 | 1.3281 | {'f1': 0.8725176169122358} | {'accuracy': 0.8092042186001918} |
| 0.0586 | 107.0 | 28676 | 1.2873 | {'f1': 0.8744365743721829} | {'accuracy': 0.8130393096836049} |
| 0.0586 | 108.0 | 28944 | 1.3377 | {'f1': 0.8737988468930173} | {'accuracy': 0.8111217641418984} |
| 0.0631 | 109.0 | 29212 | 1.2620 | {'f1': 0.8793215916503588} | {'accuracy': 0.822627037392138} |
| 0.0631 | 110.0 | 29480 | 1.3145 | {'f1': 0.8741976893453146} | {'accuracy': 0.8120805369127517} |
| 0.05 | 111.0 | 29748 | 1.3408 | {'f1': 0.8652751423149905} | {'accuracy': 0.7957813998082455} |
| 0.05 | 112.0 | 30016 | 1.4493 | {'f1': 0.8727735368956744} | {'accuracy': 0.8082454458293384} |
| 0.05 | 113.0 | 30284 | 1.3254 | {'f1': 0.8775113415424498} | {'accuracy': 0.8187919463087249} |
| 0.0527 | 114.0 | 30552 | 1.3957 | {'f1': 0.8713375796178344} | {'accuracy': 0.8063279002876318} |
| 0.0527 | 115.0 | 30820 | 1.5469 | {'f1': 0.8677581863979849} | {'accuracy': 0.7986577181208053} |
| 0.0482 | 116.0 | 31088 | 1.3284 | {'f1': 0.8725176169122358} | {'accuracy': 0.8092042186001918} |
| 0.0482 | 117.0 | 31356 | 1.2982 | {'f1': 0.870453095086152} | {'accuracy': 0.8053691275167785} |
| 0.0489 | 118.0 | 31624 | 1.5273 | {'f1': 0.869949494949495} | {'accuracy': 0.8024928092042186} |
| 0.0489 | 119.0 | 31892 | 1.3563 | {'f1': 0.8728434504792332} | {'accuracy': 0.8092042186001918} |
| 0.0464 | 120.0 | 32160 | 1.3692 | {'f1': 0.8753993610223643} | {'accuracy': 0.8130393096836049} |
| 0.0464 | 121.0 | 32428 | 1.2495 | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.0478 | 122.0 | 32696 | 1.2845 | {'f1': 0.8755641521598968} | {'accuracy': 0.8149568552253116} |
| 0.0478 | 123.0 | 32964 | 1.4378 | {'f1': 0.8752374920835972} | {'accuracy': 0.8111217641418984} |
| 0.046 | 124.0 | 33232 | 1.2288 | {'f1': 0.8800521512385918} | {'accuracy': 0.8235858101629914} |
| 0.0444 | 125.0 | 33500 | 1.1855 | {'f1': 0.876657824933687} | {'accuracy': 0.8216682646212847} |
| 0.0444 | 126.0 | 33768 | 1.4810 | {'f1': 0.8709472345835982} | {'accuracy': 0.8053691275167785} |
| 0.0475 | 127.0 | 34036 | 1.1555 | {'f1': 0.8803139306736429} | {'accuracy': 0.8245445829338447} |
| 0.0475 | 128.0 | 34304 | 1.3327 | {'f1': 0.8734587929915639} | {'accuracy': 0.8130393096836049} |
| 0.0413 | 129.0 | 34572 | 1.4666 | {'f1': 0.8711734693877551} | {'accuracy': 0.8063279002876318} |
| 0.0413 | 130.0 | 34840 | 1.2652 | {'f1': 0.8763897972531065} | {'accuracy': 0.8187919463087249} |
| 0.0437 | 131.0 | 35108 | 1.2726 | {'f1': 0.881201044386423} | {'accuracy': 0.825503355704698} |
| 0.0437 | 132.0 | 35376 | 1.3042 | {'f1': 0.8768729641693811} | {'accuracy': 0.8187919463087249} |
| 0.0475 | 133.0 | 35644 | 1.2782 | {'f1': 0.8750817527795945} | {'accuracy': 0.8168744007670182} |
| 0.0475 | 134.0 | 35912 | 1.3946 | {'f1': 0.8793215916503588} | {'accuracy': 0.822627037392138} |
| 0.0402 | 135.0 | 36180 | 1.2243 | {'f1': 0.8816053511705686} | {'accuracy': 0.8302972195589645} |
| 0.0402 | 136.0 | 36448 | 1.4490 | {'f1': 0.8772378516624041} | {'accuracy': 0.8159156279961649} |
| 0.0436 | 137.0 | 36716 | 1.2867 | {'f1': 0.878334417696812} | {'accuracy': 0.8207094918504314} |
| 0.0436 | 138.0 | 36984 | 1.3864 | {'f1': 0.8790218790218791} | {'accuracy': 0.8197507190795782} |
| 0.0412 | 139.0 | 37252 | 1.4153 | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0387 | 140.0 | 37520 | 1.4768 | {'f1': 0.8723809523809525} | {'accuracy': 0.8072866730584851} |
| 0.0387 | 141.0 | 37788 | 1.5351 | {'f1': 0.8723540731237972} | {'accuracy': 0.8092042186001918} |
| 0.0319 | 142.0 | 38056 | 1.3842 | {'f1': 0.8758085381630013} | {'accuracy': 0.8159156279961649} |
| 0.0319 | 143.0 | 38324 | 1.3523 | {'f1': 0.876943005181347} | {'accuracy': 0.8178331735378715} |
| 0.0559 | 144.0 | 38592 | 1.4572 | {'f1': 0.8730964467005076} | {'accuracy': 0.8082454458293384} |
| 0.0559 | 145.0 | 38860 | 1.2603 | {'f1': 0.8746770025839793} | {'accuracy': 0.8139980824544583} |
| 0.0413 | 146.0 | 39128 | 1.4008 | {'f1': 0.8725176169122358} | {'accuracy': 0.8092042186001918} |
| 0.0413 | 147.0 | 39396 | 1.3653 | {'f1': 0.8782722513089006} | {'accuracy': 0.8216682646212847} |
| 0.0378 | 148.0 | 39664 | 1.3626 | {'f1': 0.8740359897172236} | {'accuracy': 0.8120805369127517} |
| 0.0378 | 149.0 | 39932 | 1.2392 | {'f1': 0.8818897637795275} | {'accuracy': 0.8274209012464045} |
| 0.0389 | 150.0 | 40200 | 1.3436 | {'f1': 0.8810916179337233} | {'accuracy': 0.8245445829338447} |
| 0.0389 | 151.0 | 40468 | 1.3810 | {'f1': 0.8745980707395499} | {'accuracy': 0.8130393096836049} |
| 0.0363 | 152.0 | 40736 | 1.3891 | {'f1': 0.8719590268886044} | {'accuracy': 0.8082454458293384} |
| 0.0346 | 153.0 | 41004 | 1.5349 | {'f1': 0.8725674827369743} | {'accuracy': 0.8053691275167785} |
| 0.0346 | 154.0 | 41272 | 1.2926 | {'f1': 0.8768536428110896} | {'accuracy': 0.8168744007670182} |
| 0.0325 | 155.0 | 41540 | 1.2025 | {'f1': 0.8799463447350772} | {'accuracy': 0.8283796740172579} |
| 0.0325 | 156.0 | 41808 | 1.3760 | {'f1': 0.8786127167630058} | {'accuracy': 0.8187919463087249} |
| 0.038 | 157.0 | 42076 | 1.2697 | {'f1': 0.8813559322033898} | {'accuracy': 0.825503355704698} |
| 0.038 | 158.0 | 42344 | 1.3949 | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.0351 | 159.0 | 42612 | 1.4656 | {'f1': 0.876765083440308} | {'accuracy': 0.8159156279961649} |
| 0.0351 | 160.0 | 42880 | 1.4483 | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0325 | 161.0 | 43148 | 1.5239 | {'f1': 0.8761904761904763} | {'accuracy': 0.8130393096836049} |
| 0.0325 | 162.0 | 43416 | 1.3390 | {'f1': 0.8867059593975114} | {'accuracy': 0.8341323106423778} |
| 0.0323 | 163.0 | 43684 | 1.3027 | {'f1': 0.8844884488448844} | {'accuracy': 0.8322147651006712} |
| 0.0323 | 164.0 | 43952 | 1.3008 | {'f1': 0.8805774278215224} | {'accuracy': 0.825503355704698} |
| 0.0324 | 165.0 | 44220 | 1.3689 | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.0324 | 166.0 | 44488 | 1.5485 | {'f1': 0.8735053492762744} | {'accuracy': 0.8072866730584851} |
| 0.039 | 167.0 | 44756 | 1.4961 | {'f1': 0.8789808917197452} | {'accuracy': 0.8178331735378715} |
| 0.0277 | 168.0 | 45024 | 1.5022 | {'f1': 0.8752374920835972} | {'accuracy': 0.8111217641418984} |
| 0.0277 | 169.0 | 45292 | 1.2996 | {'f1': 0.8793215916503588} | {'accuracy': 0.822627037392138} |
| 0.0361 | 170.0 | 45560 | 1.2698 | {'f1': 0.8783694937541091} | {'accuracy': 0.822627037392138} |
| 0.0361 | 171.0 | 45828 | 1.4257 | {'f1': 0.8751625487646294} | {'accuracy': 0.8159156279961649} |
| 0.0288 | 172.0 | 46096 | 1.5108 | {'f1': 0.8711734693877551} | {'accuracy': 0.8063279002876318} |
| 0.0288 | 173.0 | 46364 | 1.4422 | {'f1': 0.8776699029126214} | {'accuracy': 0.8187919463087249} |
| 0.0345 | 174.0 | 46632 | 1.4563 | {'f1': 0.8753213367609254} | {'accuracy': 0.8139980824544583} |
| 0.0345 | 175.0 | 46900 | 1.4959 | {'f1': 0.8772378516624041} | {'accuracy': 0.8159156279961649} |
| 0.0242 | 176.0 | 47168 | 1.3783 | {'f1': 0.8775113415424498} | {'accuracy': 0.8187919463087249} |
| 0.0242 | 177.0 | 47436 | 1.3753 | {'f1': 0.8801054018445323} | {'accuracy': 0.825503355704698} |
| 0.0303 | 178.0 | 47704 | 1.2522 | {'f1': 0.8764629388816645} | {'accuracy': 0.8178331735378715} |
| 0.0303 | 179.0 | 47972 | 1.4159 | {'f1': 0.8790786948176584} | {'accuracy': 0.8187919463087249} |
| 0.0339 | 180.0 | 48240 | 1.4322 | {'f1': 0.8789237668161436} | {'accuracy': 0.8187919463087249} |
| 0.0267 | 181.0 | 48508 | 1.5925 | {'f1': 0.8756345177664975} | {'accuracy': 0.8120805369127517} |
| 0.0267 | 182.0 | 48776 | 1.3578 | {'f1': 0.8756613756613756} | {'accuracy': 0.8197507190795782} |
| 0.0333 | 183.0 | 49044 | 1.4466 | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.0333 | 184.0 | 49312 | 1.4950 | {'f1': 0.8773281952472703} | {'accuracy': 0.8168744007670182} |
| 0.0217 | 185.0 | 49580 | 1.5078 | {'f1': 0.8767123287671234} | {'accuracy': 0.8187919463087249} |
| 0.0217 | 186.0 | 49848 | 1.4532 | {'f1': 0.8801546391752577} | {'accuracy': 0.8216682646212847} |
| 0.034 | 187.0 | 50116 | 1.2801 | {'f1': 0.8798938287989383} | {'accuracy': 0.8264621284755513} |
| 0.034 | 188.0 | 50384 | 1.4016 | {'f1': 0.8745198463508322} | {'accuracy': 0.8120805369127517} |
| 0.0297 | 189.0 | 50652 | 1.2767 | {'f1': 0.8830486202365309} | {'accuracy': 0.8293384467881112} |
| 0.0297 | 190.0 | 50920 | 1.5034 | {'f1': 0.8738110336081167} | {'accuracy': 0.8092042186001918} |
| 0.0272 | 191.0 | 51188 | 1.5793 | {'f1': 0.8720560152768938} | {'accuracy': 0.8072866730584851} |
| 0.0272 | 192.0 | 51456 | 1.4970 | {'f1': 0.876943005181347} | {'accuracy': 0.8178331735378715} |
| 0.0245 | 193.0 | 51724 | 1.5864 | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0245 | 194.0 | 51992 | 1.4423 | {'f1': 0.8859934853420196} | {'accuracy': 0.8322147651006712} |
| 0.0187 | 195.0 | 52260 | 1.3823 | {'f1': 0.8804627249357326} | {'accuracy': 0.8216682646212847} |
| 0.0308 | 196.0 | 52528 | 1.4402 | {'f1': 0.8786127167630058} | {'accuracy': 0.8187919463087249} |
| 0.0308 | 197.0 | 52796 | 1.4327 | {'f1': 0.8773087071240107} | {'accuracy': 0.8216682646212847} |
| 0.0183 | 198.0 | 53064 | 1.5036 | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.0183 | 199.0 | 53332 | 1.5098 | {'f1': 0.876923076923077} | {'accuracy': 0.8159156279961649} |
| 0.0218 | 200.0 | 53600 | 1.4606 | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698} |
| 0.0218 | 201.0 | 53868 | 1.3711 | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138} |
| 0.027 | 202.0 | 54136 | 1.3117 | {'f1': 0.8814432989690721} | {'accuracy': 0.8235858101629914} |
| 0.027 | 203.0 | 54404 | 1.3033 | {'f1': 0.8804627249357326} | {'accuracy': 0.8216682646212847} |
| 0.0304 | 204.0 | 54672 | 1.4017 | {'f1': 0.8798474253019707} | {'accuracy': 0.8187919463087249} |
| 0.0304 | 205.0 | 54940 | 1.5651 | {'f1': 0.876504116529449} | {'accuracy': 0.8130393096836049} |
| 0.0192 | 206.0 | 55208 | 1.3411 | {'f1': 0.8777633289986997} | {'accuracy': 0.8197507190795782} |
| 0.0192 | 207.0 | 55476 | 1.4879 | {'f1': 0.876991714467814} | {'accuracy': 0.8149568552253116} |
| 0.0236 | 208.0 | 55744 | 1.4436 | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138} |
| 0.0204 | 209.0 | 56012 | 1.4901 | {'f1': 0.8787684413085312} | {'accuracy': 0.8187919463087249} |
| 0.0204 | 210.0 | 56280 | 1.6091 | {'f1': 0.8748403575989783} | {'accuracy': 0.8120805369127517} |
| 0.0187 | 211.0 | 56548 | 1.3899 | {'f1': 0.8779220779220779} | {'accuracy': 0.8197507190795782} |
| 0.0187 | 212.0 | 56816 | 1.3887 | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0257 | 213.0 | 57084 | 1.3687 | {'f1': 0.8790637191157347} | {'accuracy': 0.8216682646212847} |
| 0.0257 | 214.0 | 57352 | 1.5760 | {'f1': 0.8773946360153257} | {'accuracy': 0.8159156279961649} |
| 0.0211 | 215.0 | 57620 | 1.4459 | {'f1': 0.876923076923077} | {'accuracy': 0.8159156279961649} |
| 0.0211 | 216.0 | 57888 | 1.3204 | {'f1': 0.8833551769331585} | {'accuracy': 0.8293384467881112} |
| 0.024 | 217.0 | 58156 | 1.5384 | {'f1': 0.8792884371029226} | {'accuracy': 0.8178331735378715} |
| 0.024 | 218.0 | 58424 | 1.3395 | {'f1': 0.8842380640941793} | {'accuracy': 0.8302972195589645} |
| 0.0255 | 219.0 | 58692 | 1.3911 | {'f1': 0.8753213367609254} | {'accuracy': 0.8139980824544583} |
| 0.0255 | 220.0 | 58960 | 1.2838 | {'f1': 0.8817345597897503} | {'accuracy': 0.8274209012464045} |
| 0.0246 | 221.0 | 59228 | 1.4621 | {'f1': 0.8759590792838876} | {'accuracy': 0.8139980824544583} |
| 0.0246 | 222.0 | 59496 | 1.3654 | {'f1': 0.8775773195876289} | {'accuracy': 0.8178331735378715} |
| 0.023 | 223.0 | 59764 | 1.3918 | {'f1': 0.8796356538711776} | {'accuracy': 0.822627037392138} |
| 0.0199 | 224.0 | 60032 | 1.3056 | {'f1': 0.8843626806833115} | {'accuracy': 0.8312559923298178} |
| 0.0199 | 225.0 | 60300 | 1.4595 | {'f1': 0.8764331210191082} | {'accuracy': 0.8139980824544583} |
| 0.0273 | 226.0 | 60568 | 1.4990 | {'f1': 0.8790373654211526} | {'accuracy': 0.8168744007670182} |
| 0.0273 | 227.0 | 60836 | 1.4788 | {'f1': 0.8758664146187776} | {'accuracy': 0.8111217641418984} |
| 0.0251 | 228.0 | 61104 | 1.3328 | {'f1': 0.8802083333333333} | {'accuracy': 0.8235858101629914} |
| 0.0251 | 229.0 | 61372 | 1.3517 | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0198 | 230.0 | 61640 | 1.5124 | {'f1': 0.8736507936507937} | {'accuracy': 0.8092042186001918} |
| 0.0198 | 231.0 | 61908 | 1.5045 | {'f1': 0.874442319949012} | {'accuracy': 0.8111217641418984} |
| 0.0217 | 232.0 | 62176 | 1.5527 | {'f1': 0.8728652751423149} | {'accuracy': 0.8072866730584851} |
| 0.0217 | 233.0 | 62444 | 1.3656 | {'f1': 0.8825065274151437} | {'accuracy': 0.8274209012464045} |
| 0.0191 | 234.0 | 62712 | 1.4432 | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138} |
| 0.0191 | 235.0 | 62980 | 1.4782 | {'f1': 0.8751592356687897} | {'accuracy': 0.8120805369127517} |
| 0.0206 | 236.0 | 63248 | 1.3035 | {'f1': 0.8821192052980134} | {'accuracy': 0.8293384467881112} |
| 0.0186 | 237.0 | 63516 | 1.3984 | {'f1': 0.8805111821086261} | {'accuracy': 0.8207094918504314} |
| 0.0186 | 238.0 | 63784 | 1.2752 | {'f1': 0.8845144356955381} | {'accuracy': 0.8312559923298178} |
| 0.0212 | 239.0 | 64052 | 1.2830 | {'f1': 0.8864373783257624} | {'accuracy': 0.8322147651006712} |
| 0.0212 | 240.0 | 64320 | 1.3346 | {'f1': 0.884887459807074} | {'accuracy': 0.8283796740172579} |
| 0.0203 | 241.0 | 64588 | 1.3498 | {'f1': 0.8834513844172568} | {'accuracy': 0.8264621284755513} |
| 0.0203 | 242.0 | 64856 | 1.4366 | {'f1': 0.8774855676715844} | {'accuracy': 0.8168744007670182} |
| 0.0123 | 243.0 | 65124 | 1.3929 | {'f1': 0.8841423948220065} | {'accuracy': 0.8283796740172579} |
| 0.0123 | 244.0 | 65392 | 1.3940 | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.0193 | 245.0 | 65660 | 1.3125 | {'f1': 0.8827319587628866} | {'accuracy': 0.825503355704698} |
| 0.0193 | 246.0 | 65928 | 1.3074 | {'f1': 0.8813559322033898} | {'accuracy': 0.825503355704698} |
| 0.0181 | 247.0 | 66196 | 1.3016 | {'f1': 0.8842105263157894} | {'accuracy': 0.8312559923298178} |
| 0.0181 | 248.0 | 66464 | 1.3970 | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.0175 | 249.0 | 66732 | 1.4648 | {'f1': 0.879177377892031} | {'accuracy': 0.8197507190795782} |
| 0.0123 | 250.0 | 67000 | 1.5222 | {'f1': 0.876923076923077} | {'accuracy': 0.8159156279961649} |
| 0.0123 | 251.0 | 67268 | 1.4873 | {'f1': 0.879177377892031} | {'accuracy': 0.8197507190795782} |
| 0.0144 | 252.0 | 67536 | 1.4363 | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0144 | 253.0 | 67804 | 1.4639 | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138} |
| 0.0183 | 254.0 | 68072 | 1.4259 | {'f1': 0.8852883992222943} | {'accuracy': 0.8302972195589645} |
| 0.0183 | 255.0 | 68340 | 1.4660 | {'f1': 0.8814432989690721} | {'accuracy': 0.8235858101629914} |
| 0.0166 | 256.0 | 68608 | 1.4401 | {'f1': 0.8817065287653523} | {'accuracy': 0.8245445829338447} |
| 0.0166 | 257.0 | 68876 | 1.3914 | {'f1': 0.8874259381171825} | {'accuracy': 0.8360498561840843} |
| 0.0165 | 258.0 | 69144 | 1.4175 | {'f1': 0.882084690553746} | {'accuracy': 0.8264621284755513} |
| 0.0165 | 259.0 | 69412 | 1.6538 | {'f1': 0.8725428027901079} | {'accuracy': 0.8072866730584851} |
| 0.0094 | 260.0 | 69680 | 1.6220 | {'f1': 0.8750792644261256} | {'accuracy': 0.8111217641418984} |
| 0.0094 | 261.0 | 69948 | 1.5801 | {'f1': 0.8782664117272148} | {'accuracy': 0.8168744007670182} |
| 0.0193 | 262.0 | 70216 | 1.3351 | {'f1': 0.8863936591809775} | {'accuracy': 0.835091083413231} |
| 0.0193 | 263.0 | 70484 | 1.3873 | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0184 | 264.0 | 70752 | 1.4527 | {'f1': 0.881859264041317} | {'accuracy': 0.8245445829338447} |
| 0.0153 | 265.0 | 71020 | 1.4912 | {'f1': 0.8797953964194373} | {'accuracy': 0.8197507190795782} |
| 0.0153 | 266.0 | 71288 | 1.3711 | {'f1': 0.8858447488584474} | {'accuracy': 0.8322147651006712} |
| 0.0218 | 267.0 | 71556 | 1.3983 | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.0218 | 268.0 | 71824 | 1.4547 | {'f1': 0.8771021992238034} | {'accuracy': 0.8178331735378715} |
| 0.0147 | 269.0 | 72092 | 1.4513 | {'f1': 0.880722114764668} | {'accuracy': 0.822627037392138} |
| 0.0147 | 270.0 | 72360 | 1.3963 | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138} |
| 0.0181 | 271.0 | 72628 | 1.3525 | {'f1': 0.8847926267281107} | {'accuracy': 0.8322147651006712} |
| 0.0181 | 272.0 | 72896 | 1.5126 | {'f1': 0.879177377892031} | {'accuracy': 0.8197507190795782} |
| 0.0154 | 273.0 | 73164 | 1.3190 | {'f1': 0.881664499349805} | {'accuracy': 0.825503355704698} |
| 0.0154 | 274.0 | 73432 | 1.2765 | {'f1': 0.8910761154855643} | {'accuracy': 0.840843720038351} |
| 0.0203 | 275.0 | 73700 | 1.4715 | {'f1': 0.8760330578512396} | {'accuracy': 0.8130393096836049} |
| 0.0203 | 276.0 | 73968 | 1.3632 | {'f1': 0.8845905867182463} | {'accuracy': 0.8283796740172579} |
| 0.0152 | 277.0 | 74236 | 1.2812 | {'f1': 0.8857901726427623} | {'accuracy': 0.835091083413231} |
| 0.0129 | 278.0 | 74504 | 1.5735 | {'f1': 0.876590330788804} | {'accuracy': 0.8139980824544583} |
| 0.0129 | 279.0 | 74772 | 1.4860 | {'f1': 0.8831835686777921} | {'accuracy': 0.825503355704698} |
| 0.0084 | 280.0 | 75040 | 1.5089 | {'f1': 0.8825806451612904} | {'accuracy': 0.825503355704698} |
| 0.0084 | 281.0 | 75308 | 1.5542 | {'f1': 0.882202304737516} | {'accuracy': 0.8235858101629914} |
| 0.0152 | 282.0 | 75576 | 1.4587 | {'f1': 0.881859264041317} | {'accuracy': 0.8245445829338447} |
| 0.0152 | 283.0 | 75844 | 1.4609 | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0132 | 284.0 | 76112 | 1.3948 | {'f1': 0.8862897985705004} | {'accuracy': 0.8322147651006712} |
| 0.0132 | 285.0 | 76380 | 1.4527 | {'f1': 0.881859264041317} | {'accuracy': 0.8245445829338447} |
| 0.0184 | 286.0 | 76648 | 1.5984 | {'f1': 0.8746021642266074} | {'accuracy': 0.8111217641418984} |
| 0.0184 | 287.0 | 76916 | 1.4259 | {'f1': 0.8837209302325582} | {'accuracy': 0.8274209012464045} |
| 0.0165 | 288.0 | 77184 | 1.5350 | {'f1': 0.8786717752234994} | {'accuracy': 0.8178331735378715} |
| 0.0165 | 289.0 | 77452 | 1.4711 | {'f1': 0.8830334190231363} | {'accuracy': 0.825503355704698} |
| 0.0148 | 290.0 | 77720 | 1.3440 | {'f1': 0.8869795109054858} | {'accuracy': 0.8360498561840843} |
| 0.0148 | 291.0 | 77988 | 1.3586 | {'f1': 0.8880105401844532} | {'accuracy': 0.8370086289549377} |
| 0.0132 | 292.0 | 78256 | 1.4065 | {'f1': 0.887434554973822} | {'accuracy': 0.835091083413231} |
| 0.0132 | 293.0 | 78524 | 1.4641 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0132 | 294.0 | 78792 | 1.4397 | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0143 | 295.0 | 79060 | 1.3048 | {'f1': 0.8850267379679145} | {'accuracy': 0.835091083413231} |
| 0.0143 | 296.0 | 79328 | 1.3683 | {'f1': 0.8836291913214991} | {'accuracy': 0.8302972195589645} |
| 0.0124 | 297.0 | 79596 | 1.4332 | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.0124 | 298.0 | 79864 | 1.5453 | {'f1': 0.8764478764478765} | {'accuracy': 0.8159156279961649} |
| 0.0128 | 299.0 | 80132 | 1.5045 | {'f1': 0.8775773195876289} | {'accuracy': 0.8178331735378715} |
| 0.0128 | 300.0 | 80400 | 1.4130 | {'f1': 0.8820116054158607} | {'accuracy': 0.8245445829338447} |
| 0.017 | 301.0 | 80668 | 1.4272 | {'f1': 0.8796414852752881} | {'accuracy': 0.8197507190795782} |
| 0.017 | 302.0 | 80936 | 1.3021 | {'f1': 0.8894771674387822} | {'accuracy': 0.8398849472674976} |
| 0.0115 | 303.0 | 81204 | 1.2706 | {'f1': 0.8801597869507323} | {'accuracy': 0.8274209012464045} |
| 0.0115 | 304.0 | 81472 | 1.5218 | {'f1': 0.8803582853486884} | {'accuracy': 0.8207094918504314} |
| 0.0157 | 305.0 | 81740 | 1.3857 | {'f1': 0.8848641655886158} | {'accuracy': 0.8293384467881112} |
| 0.0145 | 306.0 | 82008 | 1.3284 | {'f1': 0.8836601307189542} | {'accuracy': 0.8293384467881112} |
| 0.0145 | 307.0 | 82276 | 1.3406 | {'f1': 0.8856956237753103} | {'accuracy': 0.8322147651006712} |
| 0.0147 | 308.0 | 82544 | 1.4323 | {'f1': 0.8811369509043928} | {'accuracy': 0.8235858101629914} |
| 0.0147 | 309.0 | 82812 | 1.6174 | {'f1': 0.876504116529449} | {'accuracy': 0.8130393096836049} |
| 0.0107 | 310.0 | 83080 | 1.4536 | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0107 | 311.0 | 83348 | 1.4044 | {'f1': 0.8832684824902725} | {'accuracy': 0.8274209012464045} |
| 0.0136 | 312.0 | 83616 | 1.4966 | {'f1': 0.8782051282051283} | {'accuracy': 0.8178331735378715} |
| 0.0136 | 313.0 | 83884 | 1.4544 | {'f1': 0.8831504196255648} | {'accuracy': 0.8264621284755513} |
| 0.0124 | 314.0 | 84152 | 1.4256 | {'f1': 0.8864373783257624} | {'accuracy': 0.8322147651006712} |
| 0.0124 | 315.0 | 84420 | 1.6062 | {'f1': 0.8769035532994924} | {'accuracy': 0.8139980824544583} |
| 0.0137 | 316.0 | 84688 | 1.4248 | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0137 | 317.0 | 84956 | 1.4658 | {'f1': 0.8877352368591824} | {'accuracy': 0.8341323106423778} |
| 0.0116 | 318.0 | 85224 | 1.4462 | {'f1': 0.8793324775353017} | {'accuracy': 0.8197507190795782} |
| 0.0116 | 319.0 | 85492 | 1.5458 | {'f1': 0.8811817597944765} | {'accuracy': 0.822627037392138} |
| 0.0156 | 320.0 | 85760 | 1.5287 | {'f1': 0.8796414852752881} | {'accuracy': 0.8197507190795782} |
| 0.0157 | 321.0 | 86028 | 1.5019 | {'f1': 0.8809218950064021} | {'accuracy': 0.8216682646212847} |
| 0.0157 | 322.0 | 86296 | 1.5553 | {'f1': 0.8807692307692307} | {'accuracy': 0.8216682646212847} |
| 0.0087 | 323.0 | 86564 | 1.6571 | {'f1': 0.8763474952441344} | {'accuracy': 0.8130393096836049} |
| 0.0087 | 324.0 | 86832 | 1.5864 | {'f1': 0.875875238701464} | {'accuracy': 0.8130393096836049} |
| 0.013 | 325.0 | 87100 | 1.5069 | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138} |
| 0.013 | 326.0 | 87368 | 1.4781 | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.0102 | 327.0 | 87636 | 1.4443 | {'f1': 0.8804702808621816} | {'accuracy': 0.8245445829338447} |
| 0.0102 | 328.0 | 87904 | 1.4922 | {'f1': 0.8810916179337233} | {'accuracy': 0.8245445829338447} |
| 0.0139 | 329.0 | 88172 | 1.4810 | {'f1': 0.8780169602087411} | {'accuracy': 0.8207094918504314} |
| 0.0139 | 330.0 | 88440 | 1.4784 | {'f1': 0.878334417696812} | {'accuracy': 0.8207094918504314} |
| 0.0138 | 331.0 | 88708 | 1.3542 | {'f1': 0.8825857519788918} | {'accuracy': 0.8293384467881112} |
| 0.0138 | 332.0 | 88976 | 1.4242 | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0135 | 333.0 | 89244 | 1.4874 | {'f1': 0.8787684413085312} | {'accuracy': 0.8187919463087249} |
| 0.0096 | 334.0 | 89512 | 1.5670 | {'f1': 0.8766773162939298} | {'accuracy': 0.8149568552253116} |
| 0.0096 | 335.0 | 89780 | 1.5331 | {'f1': 0.8768347160178686} | {'accuracy': 0.8149568552253116} |
| 0.013 | 336.0 | 90048 | 1.4601 | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698} |
| 0.013 | 337.0 | 90316 | 1.5601 | {'f1': 0.876504116529449} | {'accuracy': 0.8130393096836049} |
| 0.0145 | 338.0 | 90584 | 1.4931 | {'f1': 0.8746803069053708} | {'accuracy': 0.8120805369127517} |
| 0.0145 | 339.0 | 90852 | 1.3012 | {'f1': 0.8826229508196721} | {'accuracy': 0.8283796740172579} |
| 0.0148 | 340.0 | 91120 | 1.3760 | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0148 | 341.0 | 91388 | 1.4703 | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0095 | 342.0 | 91656 | 1.5649 | {'f1': 0.8720856962822935} | {'accuracy': 0.8053691275167785} |
| 0.0095 | 343.0 | 91924 | 1.3966 | {'f1': 0.876923076923077} | {'accuracy': 0.8159156279961649} |
| 0.0182 | 344.0 | 92192 | 1.3769 | {'f1': 0.881859264041317} | {'accuracy': 0.8245445829338447} |
| 0.0182 | 345.0 | 92460 | 1.4172 | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0118 | 346.0 | 92728 | 1.3936 | {'f1': 0.8790637191157347} | {'accuracy': 0.8216682646212847} |
| 0.0118 | 347.0 | 92996 | 1.4685 | {'f1': 0.880103694102398} | {'accuracy': 0.822627037392138} |
| 0.0105 | 348.0 | 93264 | 1.6799 | {'f1': 0.8710493046776233} | {'accuracy': 0.8044103547459253} |
| 0.0087 | 349.0 | 93532 | 1.5547 | {'f1': 0.8753213367609254} | {'accuracy': 0.8139980824544583} |
| 0.0087 | 350.0 | 93800 | 1.4689 | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.0101 | 351.0 | 94068 | 1.5760 | {'f1': 0.8741123305358297} | {'accuracy': 0.8130393096836049} |
| 0.0101 | 352.0 | 94336 | 1.5638 | {'f1': 0.8774193548387096} | {'accuracy': 0.8178331735378715} |
| 0.0103 | 353.0 | 94604 | 1.5473 | {'f1': 0.8771929824561404} | {'accuracy': 0.8187919463087249} |
| 0.0103 | 354.0 | 94872 | 1.5289 | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.0137 | 355.0 | 95140 | 1.4850 | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.0137 | 356.0 | 95408 | 1.5065 | {'f1': 0.8808757244043787} | {'accuracy': 0.822627037392138} |
| 0.0092 | 357.0 | 95676 | 1.5330 | {'f1': 0.8797427652733119} | {'accuracy': 0.8207094918504314} |
| 0.0092 | 358.0 | 95944 | 1.5386 | {'f1': 0.8803088803088803} | {'accuracy': 0.8216682646212847} |
| 0.0077 | 359.0 | 96212 | 1.6138 | {'f1': 0.8768347160178686} | {'accuracy': 0.8149568552253116} |
| 0.0077 | 360.0 | 96480 | 1.5900 | {'f1': 0.8796414852752881} | {'accuracy': 0.8197507190795782} |
| 0.0113 | 361.0 | 96748 | 1.4811 | {'f1': 0.8801571709233792} | {'accuracy': 0.8245445829338447} |
| 0.0107 | 362.0 | 97016 | 1.6112 | {'f1': 0.8797427652733119} | {'accuracy': 0.8207094918504314} |
| 0.0107 | 363.0 | 97284 | 1.5311 | {'f1': 0.8780169602087411} | {'accuracy': 0.8207094918504314} |
| 0.0106 | 364.0 | 97552 | 1.6998 | {'f1': 0.8733290897517505} | {'accuracy': 0.8092042186001918} |
| 0.0106 | 365.0 | 97820 | 1.7060 | {'f1': 0.8732572877059569} | {'accuracy': 0.8082454458293384} |
| 0.0082 | 366.0 | 98088 | 1.5259 | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0082 | 367.0 | 98356 | 1.5302 | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0145 | 368.0 | 98624 | 1.4557 | {'f1': 0.8778576094056172} | {'accuracy': 0.8207094918504314} |
| 0.0145 | 369.0 | 98892 | 1.6232 | {'f1': 0.8801020408163266} | {'accuracy': 0.8197507190795782} |
| 0.0127 | 370.0 | 99160 | 1.5481 | {'f1': 0.8758002560819463} | {'accuracy': 0.8139980824544583} |
| 0.0127 | 371.0 | 99428 | 1.4528 | {'f1': 0.8786502271252432} | {'accuracy': 0.8207094918504314} |
| 0.0126 | 372.0 | 99696 | 1.4551 | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698} |
| 0.0126 | 373.0 | 99964 | 1.3990 | {'f1': 0.8800521512385918} | {'accuracy': 0.8235858101629914} |
| 0.0115 | 374.0 | 100232 | 1.4816 | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0078 | 375.0 | 100500 | 1.5006 | {'f1': 0.8815104166666666} | {'accuracy': 0.825503355704698} |
| 0.0078 | 376.0 | 100768 | 1.5941 | {'f1': 0.8768536428110896} | {'accuracy': 0.8168744007670182} |
| 0.0085 | 377.0 | 101036 | 1.4267 | {'f1': 0.8824306472919419} | {'accuracy': 0.8293384467881112} |
| 0.0085 | 378.0 | 101304 | 1.5218 | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.0092 | 379.0 | 101572 | 1.6128 | {'f1': 0.8745198463508322} | {'accuracy': 0.8120805369127517} |
| 0.0092 | 380.0 | 101840 | 1.5639 | {'f1': 0.8778920308483289} | {'accuracy': 0.8178331735378715} |
| 0.012 | 381.0 | 102108 | 1.4765 | {'f1': 0.8842380640941793} | {'accuracy': 0.8302972195589645} |
| 0.012 | 382.0 | 102376 | 1.3915 | {'f1': 0.8849206349206349} | {'accuracy': 0.8331735378715245} |
| 0.0117 | 383.0 | 102644 | 1.6245 | {'f1': 0.8764331210191082} | {'accuracy': 0.8139980824544583} |
| 0.0117 | 384.0 | 102912 | 1.4490 | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.011 | 385.0 | 103180 | 1.4457 | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.011 | 386.0 | 103448 | 1.5298 | {'f1': 0.8798972382787411} | {'accuracy': 0.8207094918504314} |
| 0.0095 | 387.0 | 103716 | 1.5325 | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.0095 | 388.0 | 103984 | 1.5028 | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.0095 | 389.0 | 104252 | 1.4893 | {'f1': 0.8836601307189542} | {'accuracy': 0.8293384467881112} |
| 0.0067 | 390.0 | 104520 | 1.5692 | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698} |
| 0.0067 | 391.0 | 104788 | 1.6078 | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698} |
| 0.0118 | 392.0 | 105056 | 1.6137 | {'f1': 0.8777348777348777} | {'accuracy': 0.8178331735378715} |
| 0.0118 | 393.0 | 105324 | 1.5219 | {'f1': 0.8805774278215224} | {'accuracy': 0.825503355704698} |
| 0.01 | 394.0 | 105592 | 1.6412 | {'f1': 0.8808757244043787} | {'accuracy': 0.822627037392138} |
| 0.01 | 395.0 | 105860 | 1.5922 | {'f1': 0.8766066838046273} | {'accuracy': 0.8159156279961649} |
| 0.0121 | 396.0 | 106128 | 1.6165 | {'f1': 0.8758842443729904} | {'accuracy': 0.8149568552253116} |
| 0.0121 | 397.0 | 106396 | 1.5361 | {'f1': 0.8774855676715844} | {'accuracy': 0.8168744007670182} |
| 0.0115 | 398.0 | 106664 | 1.6249 | {'f1': 0.8724489795918368} | {'accuracy': 0.8082454458293384} |
| 0.0115 | 399.0 | 106932 | 1.6412 | {'f1': 0.873490146217419} | {'accuracy': 0.8092042186001918} |
| 0.0092 | 400.0 | 107200 | 1.5257 | {'f1': 0.8760545100584036} | {'accuracy': 0.8168744007670182} |
| 0.0092 | 401.0 | 107468 | 1.4811 | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.0096 | 402.0 | 107736 | 1.5744 | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.0106 | 403.0 | 108004 | 1.5878 | {'f1': 0.8764478764478765} | {'accuracy': 0.8159156279961649} |
| 0.0106 | 404.0 | 108272 | 1.4147 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.0112 | 405.0 | 108540 | 1.3842 | {'f1': 0.8797342192691031} | {'accuracy': 0.8264621284755513} |
| 0.0112 | 406.0 | 108808 | 1.5136 | {'f1': 0.8790218790218791} | {'accuracy': 0.8197507190795782} |
| 0.0075 | 407.0 | 109076 | 1.5032 | {'f1': 0.8792207792207791} | {'accuracy': 0.8216682646212847} |
| 0.0075 | 408.0 | 109344 | 1.5835 | {'f1': 0.8777633289986997} | {'accuracy': 0.8197507190795782} |
| 0.0056 | 409.0 | 109612 | 1.5578 | {'f1': 0.8778280542986426} | {'accuracy': 0.8187919463087249} |
| 0.0056 | 410.0 | 109880 | 1.6991 | {'f1': 0.8728434504792332} | {'accuracy': 0.8092042186001918} |
| 0.0096 | 411.0 | 110148 | 1.5665 | {'f1': 0.8729851708575114} | {'accuracy': 0.8111217641418984} |
| 0.0096 | 412.0 | 110416 | 1.5631 | {'f1': 0.8783610755441742} | {'accuracy': 0.8178331735378715} |
| 0.0151 | 413.0 | 110684 | 1.5457 | {'f1': 0.880722114764668} | {'accuracy': 0.822627037392138} |
| 0.0151 | 414.0 | 110952 | 1.6221 | {'f1': 0.8795878943979395} | {'accuracy': 0.8207094918504314} |
| 0.0084 | 415.0 | 111220 | 1.5175 | {'f1': 0.8805774278215224} | {'accuracy': 0.825503355704698} |
| 0.0084 | 416.0 | 111488 | 1.5935 | {'f1': 0.879177377892031} | {'accuracy': 0.8197507190795782} |
| 0.0091 | 417.0 | 111756 | 1.5765 | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.007 | 418.0 | 112024 | 1.5647 | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.007 | 419.0 | 112292 | 1.6711 | {'f1': 0.876991714467814} | {'accuracy': 0.8149568552253116} |
| 0.0081 | 420.0 | 112560 | 1.6090 | {'f1': 0.8761904761904763} | {'accuracy': 0.8130393096836049} |
| 0.0081 | 421.0 | 112828 | 1.6167 | {'f1': 0.8792884371029226} | {'accuracy': 0.8178331735378715} |
| 0.0099 | 422.0 | 113096 | 1.6156 | {'f1': 0.8825031928480205} | {'accuracy': 0.8235858101629914} |
| 0.0099 | 423.0 | 113364 | 1.5027 | {'f1': 0.8875893437296947} | {'accuracy': 0.8341323106423778} |
| 0.0064 | 424.0 | 113632 | 1.5102 | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0064 | 425.0 | 113900 | 1.6203 | {'f1': 0.8820905035054175} | {'accuracy': 0.822627037392138} |
| 0.0077 | 426.0 | 114168 | 1.6766 | {'f1': 0.8798474253019707} | {'accuracy': 0.8187919463087249} |
| 0.0077 | 427.0 | 114436 | 1.5527 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0079 | 428.0 | 114704 | 1.7084 | {'f1': 0.8766773162939298} | {'accuracy': 0.8149568552253116} |
| 0.0079 | 429.0 | 114972 | 1.6183 | {'f1': 0.8780487804878049} | {'accuracy': 0.8178331735378715} |
| 0.0131 | 430.0 | 115240 | 1.6240 | {'f1': 0.8768536428110896} | {'accuracy': 0.8168744007670182} |
| 0.0072 | 431.0 | 115508 | 1.6415 | {'f1': 0.8780487804878049} | {'accuracy': 0.8178331735378715} |
| 0.0072 | 432.0 | 115776 | 1.6909 | {'f1': 0.876117496807152} | {'accuracy': 0.8139980824544583} |
| 0.009 | 433.0 | 116044 | 1.5275 | {'f1': 0.8782383419689119} | {'accuracy': 0.8197507190795782} |
| 0.009 | 434.0 | 116312 | 1.6566 | {'f1': 0.874282067645182} | {'accuracy': 0.8111217641418984} |
| 0.0074 | 435.0 | 116580 | 1.5945 | {'f1': 0.8743523316062176} | {'accuracy': 0.8139980824544583} |
| 0.0074 | 436.0 | 116848 | 1.5992 | {'f1': 0.8778920308483289} | {'accuracy': 0.8178331735378715} |
| 0.0133 | 437.0 | 117116 | 1.5535 | {'f1': 0.8727272727272728} | {'accuracy': 0.8120805369127517} |
| 0.0133 | 438.0 | 117384 | 1.6961 | {'f1': 0.8727735368956744} | {'accuracy': 0.8082454458293384} |
| 0.0095 | 439.0 | 117652 | 1.5316 | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138} |
| 0.0095 | 440.0 | 117920 | 1.5435 | {'f1': 0.8828828828828829} | {'accuracy': 0.825503355704698} |
| 0.0104 | 441.0 | 118188 | 1.5398 | {'f1': 0.8814432989690721} | {'accuracy': 0.8235858101629914} |
| 0.0104 | 442.0 | 118456 | 1.5605 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.0064 | 443.0 | 118724 | 1.5464 | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.0064 | 444.0 | 118992 | 1.5863 | {'f1': 0.8790786948176584} | {'accuracy': 0.8187919463087249} |
| 0.0074 | 445.0 | 119260 | 1.6387 | {'f1': 0.8782051282051283} | {'accuracy': 0.8178331735378715} |
| 0.0102 | 446.0 | 119528 | 1.4629 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.0102 | 447.0 | 119796 | 1.5751 | {'f1': 0.8793324775353017} | {'accuracy': 0.8197507190795782} |
| 0.0068 | 448.0 | 120064 | 1.5163 | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138} |
| 0.0068 | 449.0 | 120332 | 1.5133 | {'f1': 0.8803088803088803} | {'accuracy': 0.8216682646212847} |
| 0.009 | 450.0 | 120600 | 1.6518 | {'f1': 0.8755527479469362} | {'accuracy': 0.8111217641418984} |
| 0.009 | 451.0 | 120868 | 1.5062 | {'f1': 0.8861418347430059} | {'accuracy': 0.8322147651006712} |
| 0.0102 | 452.0 | 121136 | 1.5855 | {'f1': 0.8811817597944765} | {'accuracy': 0.822627037392138} |
| 0.0102 | 453.0 | 121404 | 1.6158 | {'f1': 0.8800513149454778} | {'accuracy': 0.8207094918504314} |
| 0.0079 | 454.0 | 121672 | 1.4274 | {'f1': 0.8896232650363516} | {'accuracy': 0.8398849472674976} |
| 0.0079 | 455.0 | 121940 | 1.5318 | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0068 | 456.0 | 122208 | 1.4882 | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698} |
| 0.0068 | 457.0 | 122476 | 1.7116 | {'f1': 0.8786346396965866} | {'accuracy': 0.8159156279961649} |
| 0.0077 | 458.0 | 122744 | 1.5184 | {'f1': 0.8801546391752577} | {'accuracy': 0.8216682646212847} |
| 0.0085 | 459.0 | 123012 | 1.6013 | {'f1': 0.8770806658130602} | {'accuracy': 0.8159156279961649} |
| 0.0085 | 460.0 | 123280 | 1.5985 | {'f1': 0.8764478764478765} | {'accuracy': 0.8159156279961649} |
| 0.0034 | 461.0 | 123548 | 1.5422 | {'f1': 0.8773523685918235} | {'accuracy': 0.8187919463087249} |
| 0.0034 | 462.0 | 123816 | 1.6222 | {'f1': 0.8774193548387096} | {'accuracy': 0.8178331735378715} |
| 0.0068 | 463.0 | 124084 | 1.7292 | {'f1': 0.8755583918315252} | {'accuracy': 0.8130393096836049} |
| 0.0068 | 464.0 | 124352 | 1.5538 | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0127 | 465.0 | 124620 | 1.4833 | {'f1': 0.8791064388961892} | {'accuracy': 0.8235858101629914} |
| 0.0127 | 466.0 | 124888 | 1.6038 | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.008 | 467.0 | 125156 | 1.5429 | {'f1': 0.8817065287653523} | {'accuracy': 0.8245445829338447} |
| 0.008 | 468.0 | 125424 | 1.6479 | {'f1': 0.8800513149454778} | {'accuracy': 0.8207094918504314} |
| 0.0065 | 469.0 | 125692 | 1.6177 | {'f1': 0.8798972382787411} | {'accuracy': 0.8207094918504314} |
| 0.0065 | 470.0 | 125960 | 1.5315 | {'f1': 0.8830486202365309} | {'accuracy': 0.8293384467881112} |
| 0.0041 | 471.0 | 126228 | 1.6585 | {'f1': 0.8814432989690721} | {'accuracy': 0.8235858101629914} |
| 0.0041 | 472.0 | 126496 | 1.6873 | {'f1': 0.8784213876511776} | {'accuracy': 0.8168744007670182} |
| 0.0071 | 473.0 | 126764 | 1.7731 | {'f1': 0.8743718592964824} | {'accuracy': 0.8082454458293384} |
| 0.0096 | 474.0 | 127032 | 1.6567 | {'f1': 0.8788265306122449} | {'accuracy': 0.8178331735378715} |
| 0.0096 | 475.0 | 127300 | 1.7165 | {'f1': 0.875875238701464} | {'accuracy': 0.8130393096836049} |
| 0.0057 | 476.0 | 127568 | 1.6778 | {'f1': 0.8764478764478765} | {'accuracy': 0.8159156279961649} |
| 0.0057 | 477.0 | 127836 | 1.6206 | {'f1': 0.8793774319066148} | {'accuracy': 0.8216682646212847} |
| 0.0092 | 478.0 | 128104 | 1.5552 | {'f1': 0.8790637191157347} | {'accuracy': 0.8216682646212847} |
| 0.0092 | 479.0 | 128372 | 1.5869 | {'f1': 0.8782722513089006} | {'accuracy': 0.8216682646212847} |
| 0.0086 | 480.0 | 128640 | 1.6987 | {'f1': 0.8780487804878049} | {'accuracy': 0.8178331735378715} |
| 0.0086 | 481.0 | 128908 | 1.6270 | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.007 | 482.0 | 129176 | 1.6292 | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.007 | 483.0 | 129444 | 1.6255 | {'f1': 0.8782051282051283} | {'accuracy': 0.8178331735378715} |
| 0.0093 | 484.0 | 129712 | 1.5177 | {'f1': 0.8814229249011858} | {'accuracy': 0.8274209012464045} |
| 0.0093 | 485.0 | 129980 | 1.6926 | {'f1': 0.8771704180064309} | {'accuracy': 0.8168744007670182} |
| 0.0062 | 486.0 | 130248 | 1.5834 | {'f1': 0.880103694102398} | {'accuracy': 0.822627037392138} |
| 0.0065 | 487.0 | 130516 | 1.6238 | {'f1': 0.8795878943979395} | {'accuracy': 0.8207094918504314} |
| 0.0065 | 488.0 | 130784 | 1.5653 | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.0104 | 489.0 | 131052 | 1.5769 | {'f1': 0.8811369509043928} | {'accuracy': 0.8235858101629914} |
| 0.0104 | 490.0 | 131320 | 1.4955 | {'f1': 0.8856767411300921} | {'accuracy': 0.8331735378715245} |
| 0.0047 | 491.0 | 131588 | 1.6529 | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0047 | 492.0 | 131856 | 1.5815 | {'f1': 0.8796356538711776} | {'accuracy': 0.822627037392138} |
| 0.0087 | 493.0 | 132124 | 1.5435 | {'f1': 0.8768020969855832} | {'accuracy': 0.8197507190795782} |
| 0.0087 | 494.0 | 132392 | 1.6697 | {'f1': 0.8758002560819463} | {'accuracy': 0.8139980824544583} |
| 0.0083 | 495.0 | 132660 | 1.6148 | {'f1': 0.8770806658130602} | {'accuracy': 0.8159156279961649} |
| 0.0083 | 496.0 | 132928 | 1.6866 | {'f1': 0.8766773162939298} | {'accuracy': 0.8149568552253116} |
| 0.0049 | 497.0 | 133196 | 1.5821 | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698} |
| 0.0049 | 498.0 | 133464 | 1.6406 | {'f1': 0.8806161745827985} | {'accuracy': 0.8216682646212847} |
| 0.0078 | 499.0 | 133732 | 1.5764 | {'f1': 0.8774193548387096} | {'accuracy': 0.8178331735378715} |
| 0.0077 | 500.0 | 134000 | 1.5803 | {'f1': 0.880103694102398} | {'accuracy': 0.822627037392138} |
| 0.0077 | 501.0 | 134268 | 1.6356 | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.0072 | 502.0 | 134536 | 1.5161 | {'f1': 0.8856956237753103} | {'accuracy': 0.8322147651006712} |
| 0.0072 | 503.0 | 134804 | 1.7302 | {'f1': 0.8761904761904763} | {'accuracy': 0.8130393096836049} |
| 0.0082 | 504.0 | 135072 | 1.6365 | {'f1': 0.8792207792207791} | {'accuracy': 0.8216682646212847} |
| 0.0082 | 505.0 | 135340 | 1.5748 | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0066 | 506.0 | 135608 | 1.6967 | {'f1': 0.8764331210191082} | {'accuracy': 0.8139980824544583} |
| 0.0066 | 507.0 | 135876 | 1.5747 | {'f1': 0.8791064388961892} | {'accuracy': 0.8235858101629914} |
| 0.006 | 508.0 | 136144 | 1.6261 | {'f1': 0.878334417696812} | {'accuracy': 0.8207094918504314} |
| 0.006 | 509.0 | 136412 | 1.7697 | {'f1': 0.8734015345268541} | {'accuracy': 0.8101629913710451} |
| 0.006 | 510.0 | 136680 | 1.7500 | {'f1': 0.8763613068545804} | {'accuracy': 0.8149568552253116} |
| 0.006 | 511.0 | 136948 | 1.6436 | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0063 | 512.0 | 137216 | 1.6400 | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0063 | 513.0 | 137484 | 1.9283 | {'f1': 0.8717624763108023} | {'accuracy': 0.8053691275167785} |
| 0.007 | 514.0 | 137752 | 1.6641 | {'f1': 0.8817480719794344} | {'accuracy': 0.8235858101629914} |
| 0.0097 | 515.0 | 138020 | 1.6543 | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.0097 | 516.0 | 138288 | 1.6937 | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0054 | 517.0 | 138556 | 1.6774 | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0054 | 518.0 | 138824 | 1.7553 | {'f1': 0.8753993610223643} | {'accuracy': 0.8130393096836049} |
| 0.0068 | 519.0 | 139092 | 1.6472 | {'f1': 0.880674448767834} | {'accuracy': 0.8235858101629914} |
| 0.0068 | 520.0 | 139360 | 1.6008 | {'f1': 0.8809993425378042} | {'accuracy': 0.8264621284755513} |
| 0.0104 | 521.0 | 139628 | 1.7428 | {'f1': 0.875968992248062} | {'accuracy': 0.8159156279961649} |
| 0.0104 | 522.0 | 139896 | 1.7010 | {'f1': 0.8766946417043254} | {'accuracy': 0.8168744007670182} |
| 0.0048 | 523.0 | 140164 | 1.7071 | {'f1': 0.8779857972885732} | {'accuracy': 0.8187919463087249} |
| 0.0048 | 524.0 | 140432 | 1.7259 | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.0071 | 525.0 | 140700 | 1.7475 | {'f1': 0.8775773195876289} | {'accuracy': 0.8178331735378715} |
| 0.0071 | 526.0 | 140968 | 1.7191 | {'f1': 0.8782383419689119} | {'accuracy': 0.8197507190795782} |
| 0.0061 | 527.0 | 141236 | 1.7251 | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0055 | 528.0 | 141504 | 1.7330 | {'f1': 0.8774193548387096} | {'accuracy': 0.8178331735378715} |
| 0.0055 | 529.0 | 141772 | 1.5532 | {'f1': 0.8818061088977424} | {'accuracy': 0.8293384467881112} |
| 0.0071 | 530.0 | 142040 | 1.6792 | {'f1': 0.87890625} | {'accuracy': 0.8216682646212847} |
| 0.0071 | 531.0 | 142308 | 1.7657 | {'f1': 0.8777991042866283} | {'accuracy': 0.8168744007670182} |
| 0.0057 | 532.0 | 142576 | 1.6605 | {'f1': 0.8800521512385918} | {'accuracy': 0.8235858101629914} |
| 0.0057 | 533.0 | 142844 | 1.6630 | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0043 | 534.0 | 143112 | 1.8157 | {'f1': 0.8770806658130602} | {'accuracy': 0.8159156279961649} |
| 0.0043 | 535.0 | 143380 | 1.6377 | {'f1': 0.8807817589576548} | {'accuracy': 0.8245445829338447} |
| 0.0064 | 536.0 | 143648 | 1.7094 | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0064 | 537.0 | 143916 | 1.7565 | {'f1': 0.876117496807152} | {'accuracy': 0.8139980824544583} |
| 0.006 | 538.0 | 144184 | 1.6098 | {'f1': 0.8837820091923834} | {'accuracy': 0.8302972195589645} |
| 0.006 | 539.0 | 144452 | 1.6052 | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0107 | 540.0 | 144720 | 1.6235 | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138} |
| 0.0107 | 541.0 | 144988 | 1.6989 | {'f1': 0.8793324775353017} | {'accuracy': 0.8197507190795782} |
| 0.0028 | 542.0 | 145256 | 1.6351 | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.0093 | 543.0 | 145524 | 1.5489 | {'f1': 0.8777633289986997} | {'accuracy': 0.8197507190795782} |
| 0.0093 | 544.0 | 145792 | 1.6381 | {'f1': 0.8806161745827985} | {'accuracy': 0.8216682646212847} |
| 0.0082 | 545.0 | 146060 | 1.5306 | {'f1': 0.8810457516339869} | {'accuracy': 0.825503355704698} |
| 0.0082 | 546.0 | 146328 | 1.6200 | {'f1': 0.8785529715762274} | {'accuracy': 0.8197507190795782} |
| 0.0046 | 547.0 | 146596 | 1.6476 | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.0046 | 548.0 | 146864 | 1.5664 | {'f1': 0.8806262230919765} | {'accuracy': 0.8245445829338447} |
| 0.0075 | 549.0 | 147132 | 1.6444 | {'f1': 0.8784925276153347} | {'accuracy': 0.8207094918504314} |
| 0.0075 | 550.0 | 147400 | 1.7417 | {'f1': 0.8754034861200773} | {'accuracy': 0.8149568552253116} |
| 0.0043 | 551.0 | 147668 | 1.7776 | {'f1': 0.8725176169122358} | {'accuracy': 0.8092042186001918} |
| 0.0043 | 552.0 | 147936 | 1.8581 | {'f1': 0.8712121212121213} | {'accuracy': 0.8044103547459253} |
| 0.008 | 553.0 | 148204 | 1.5995 | {'f1': 0.8806262230919765} | {'accuracy': 0.8245445829338447} |
| 0.008 | 554.0 | 148472 | 1.7457 | {'f1': 0.8717948717948718} | {'accuracy': 0.8082454458293384} |
| 0.0058 | 555.0 | 148740 | 1.6409 | {'f1': 0.874274661508704} | {'accuracy': 0.8130393096836049} |
| 0.0076 | 556.0 | 149008 | 1.6940 | {'f1': 0.8745980707395499} | {'accuracy': 0.8130393096836049} |
| 0.0076 | 557.0 | 149276 | 1.7115 | {'f1': 0.872258064516129} | {'accuracy': 0.8101629913710451} |
| 0.0033 | 558.0 | 149544 | 1.7159 | {'f1': 0.8750809061488675} | {'accuracy': 0.8149568552253116} |
| 0.0033 | 559.0 | 149812 | 1.7610 | {'f1': 0.8760436737315349} | {'accuracy': 0.8149568552253116} |
| 0.007 | 560.0 | 150080 | 1.8160 | {'f1': 0.875724404378622} | {'accuracy': 0.8149568552253116} |
| 0.007 | 561.0 | 150348 | 1.8065 | {'f1': 0.8752424046541694} | {'accuracy': 0.8149568552253116} |
| 0.006 | 562.0 | 150616 | 1.8686 | {'f1': 0.8771483131763208} | {'accuracy': 0.8149568552253116} |
| 0.006 | 563.0 | 150884 | 1.6342 | {'f1': 0.8788075178224238} | {'accuracy': 0.8207094918504314} |
| 0.0115 | 564.0 | 151152 | 1.6630 | {'f1': 0.8790218790218791} | {'accuracy': 0.8197507190795782} |
| 0.0115 | 565.0 | 151420 | 1.6109 | {'f1': 0.8794788273615636} | {'accuracy': 0.822627037392138} |
| 0.0068 | 566.0 | 151688 | 1.5944 | {'f1': 0.8776699029126214} | {'accuracy': 0.8187919463087249} |
| 0.0068 | 567.0 | 151956 | 1.5621 | {'f1': 0.8794233289646134} | {'accuracy': 0.8235858101629914} |
| 0.0076 | 568.0 | 152224 | 1.8731 | {'f1': 0.8719242902208201} | {'accuracy': 0.8053691275167785} |
| 0.0076 | 569.0 | 152492 | 1.6145 | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0078 | 570.0 | 152760 | 1.5479 | {'f1': 0.8814669286182057} | {'accuracy': 0.8264621284755513} |
| 0.0091 | 571.0 | 153028 | 1.5595 | {'f1': 0.880674448767834} | {'accuracy': 0.8235858101629914} |
| 0.0091 | 572.0 | 153296 | 1.7412 | {'f1': 0.8723809523809525} | {'accuracy': 0.8072866730584851} |
| 0.0053 | 573.0 | 153564 | 1.6270 | {'f1': 0.8765352294764059} | {'accuracy': 0.8168744007670182} |
| 0.0053 | 574.0 | 153832 | 1.7433 | {'f1': 0.8734177215189873} | {'accuracy': 0.8082454458293384} |
| 0.0066 | 575.0 | 154100 | 1.6253 | {'f1': 0.8778280542986426} | {'accuracy': 0.8187919463087249} |
| 0.0066 | 576.0 | 154368 | 1.6452 | {'f1': 0.8770122343850613} | {'accuracy': 0.8168744007670182} |
| 0.0039 | 577.0 | 154636 | 1.5797 | {'f1': 0.8828125} | {'accuracy': 0.8274209012464045} |
| 0.0039 | 578.0 | 154904 | 1.5768 | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.0057 | 579.0 | 155172 | 1.5973 | {'f1': 0.8772609819121446} | {'accuracy': 0.8178331735378715} |
| 0.0057 | 580.0 | 155440 | 1.7696 | {'f1': 0.8738853503184713} | {'accuracy': 0.8101629913710451} |
| 0.0051 | 581.0 | 155708 | 1.6236 | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.0051 | 582.0 | 155976 | 1.6985 | {'f1': 0.8774855676715844} | {'accuracy': 0.8168744007670182} |
| 0.0058 | 583.0 | 156244 | 1.7124 | {'f1': 0.876765083440308} | {'accuracy': 0.8159156279961649} |
| 0.0049 | 584.0 | 156512 | 1.6080 | {'f1': 0.8800521512385918} | {'accuracy': 0.8235858101629914} |
| 0.0049 | 585.0 | 156780 | 1.8090 | {'f1': 0.8764331210191082} | {'accuracy': 0.8139980824544583} |
| 0.0052 | 586.0 | 157048 | 1.7793 | {'f1': 0.8735632183908045} | {'accuracy': 0.8101629913710451} |
| 0.0052 | 587.0 | 157316 | 1.6669 | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0034 | 588.0 | 157584 | 1.8463 | {'f1': 0.872680742162508} | {'accuracy': 0.8092042186001918} |
| 0.0034 | 589.0 | 157852 | 1.8558 | {'f1': 0.8746021642266074} | {'accuracy': 0.8111217641418984} |
| 0.0056 | 590.0 | 158120 | 1.7290 | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.0056 | 591.0 | 158388 | 1.6278 | {'f1': 0.8819308545335943} | {'accuracy': 0.8264621284755513} |
| 0.006 | 592.0 | 158656 | 1.6006 | {'f1': 0.8805280528052805} | {'accuracy': 0.8264621284755513} |
| 0.006 | 593.0 | 158924 | 1.8143 | {'f1': 0.8727735368956744} | {'accuracy': 0.8082454458293384} |
| 0.0079 | 594.0 | 159192 | 1.6530 | {'f1': 0.876943005181347} | {'accuracy': 0.8178331735378715} |
| 0.0079 | 595.0 | 159460 | 1.7267 | {'f1': 0.8741976893453146} | {'accuracy': 0.8120805369127517} |
| 0.0035 | 596.0 | 159728 | 1.7158 | {'f1': 0.8739495798319327} | {'accuracy': 0.8130393096836049} |
| 0.0035 | 597.0 | 159996 | 1.6977 | {'f1': 0.874025974025974} | {'accuracy': 0.8139980824544583} |
| 0.0034 | 598.0 | 160264 | 1.7460 | {'f1': 0.8761408083441983} | {'accuracy': 0.8178331735378715} |
| 0.0055 | 599.0 | 160532 | 1.8796 | {'f1': 0.8726114649681528} | {'accuracy': 0.8082454458293384} |
| 0.0055 | 600.0 | 160800 | 1.6903 | {'f1': 0.8749189889825016} | {'accuracy': 0.8149568552253116} |
| 0.0095 | 601.0 | 161068 | 1.8035 | {'f1': 0.870453095086152} | {'accuracy': 0.8053691275167785} |
| 0.0095 | 602.0 | 161336 | 1.7779 | {'f1': 0.872680742162508} | {'accuracy': 0.8092042186001918} |
| 0.0047 | 603.0 | 161604 | 1.7869 | {'f1': 0.8703465982028241} | {'accuracy': 0.8063279002876318} |
| 0.0047 | 604.0 | 161872 | 1.8860 | {'f1': 0.8715012722646311} | {'accuracy': 0.8063279002876318} |
| 0.0047 | 605.0 | 162140 | 1.6485 | {'f1': 0.877444589308996} | {'accuracy': 0.8197507190795782} |
| 0.0047 | 606.0 | 162408 | 1.6368 | {'f1': 0.8753246753246753} | {'accuracy': 0.8159156279961649} |
| 0.007 | 607.0 | 162676 | 1.7010 | {'f1': 0.8755641521598968} | {'accuracy': 0.8149568552253116} |
| 0.007 | 608.0 | 162944 | 1.6477 | {'f1': 0.875} | {'accuracy': 0.8159156279961649} |
| 0.0039 | 609.0 | 163212 | 1.7227 | {'f1': 0.8766946417043254} | {'accuracy': 0.8168744007670182} |
| 0.0039 | 610.0 | 163480 | 1.6724 | {'f1': 0.8758085381630013} | {'accuracy': 0.8159156279961649} |
| 0.0065 | 611.0 | 163748 | 1.7402 | {'f1': 0.8787684413085312} | {'accuracy': 0.8187919463087249} |
| 0.0057 | 612.0 | 164016 | 1.6429 | {'f1': 0.8787483702737942} | {'accuracy': 0.8216682646212847} |
| 0.0057 | 613.0 | 164284 | 1.7085 | {'f1': 0.8766773162939298} | {'accuracy': 0.8149568552253116} |
| 0.0079 | 614.0 | 164552 | 1.5554 | {'f1': 0.8791639451338994} | {'accuracy': 0.822627037392138} |
| 0.0079 | 615.0 | 164820 | 1.6716 | {'f1': 0.8777348777348777} | {'accuracy': 0.8178331735378715} |
| 0.0076 | 616.0 | 165088 | 1.5445 | {'f1': 0.8802631578947369} | {'accuracy': 0.825503355704698} |
| 0.0076 | 617.0 | 165356 | 1.6435 | {'f1': 0.8751608751608753} | {'accuracy': 0.8139980824544583} |
| 0.0056 | 618.0 | 165624 | 1.6635 | {'f1': 0.8787684413085312} | {'accuracy': 0.8187919463087249} |
| 0.0056 | 619.0 | 165892 | 1.6575 | {'f1': 0.8750809061488675} | {'accuracy': 0.8149568552253116} |
| 0.0051 | 620.0 | 166160 | 1.5946 | {'f1': 0.8763897972531065} | {'accuracy': 0.8187919463087249} |
| 0.0051 | 621.0 | 166428 | 1.6229 | {'f1': 0.8764629388816645} | {'accuracy': 0.8178331735378715} |
| 0.0041 | 622.0 | 166696 | 1.8007 | {'f1': 0.8746803069053708} | {'accuracy': 0.8120805369127517} |
| 0.0041 | 623.0 | 166964 | 1.6322 | {'f1': 0.877444589308996} | {'accuracy': 0.8197507190795782} |
| 0.0049 | 624.0 | 167232 | 1.7678 | {'f1': 0.8752399232245682} | {'accuracy': 0.8130393096836049} |
| 0.0077 | 625.0 | 167500 | 1.6739 | {'f1': 0.8728923476005188} | {'accuracy': 0.8120805369127517} |
| 0.0077 | 626.0 | 167768 | 1.6843 | {'f1': 0.8778280542986426} | {'accuracy': 0.8187919463087249} |
| 0.0059 | 627.0 | 168036 | 1.6263 | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.0059 | 628.0 | 168304 | 1.5140 | {'f1': 0.8799472295514512} | {'accuracy': 0.825503355704698} |
| 0.0043 | 629.0 | 168572 | 1.6523 | {'f1': 0.8808757244043787} | {'accuracy': 0.822627037392138} |
| 0.0043 | 630.0 | 168840 | 1.6856 | {'f1': 0.879177377892031} | {'accuracy': 0.8197507190795782} |
| 0.0044 | 631.0 | 169108 | 1.6593 | {'f1': 0.8779857972885732} | {'accuracy': 0.8187919463087249} |
| 0.0044 | 632.0 | 169376 | 1.5858 | {'f1': 0.8819308545335943} | {'accuracy': 0.8264621284755513} |
| 0.005 | 633.0 | 169644 | 1.6205 | {'f1': 0.8815104166666666} | {'accuracy': 0.825503355704698} |
| 0.005 | 634.0 | 169912 | 1.7306 | {'f1': 0.8793324775353017} | {'accuracy': 0.8197507190795782} |
| 0.0068 | 635.0 | 170180 | 1.5782 | {'f1': 0.8793774319066148} | {'accuracy': 0.8216682646212847} |
| 0.0068 | 636.0 | 170448 | 1.6286 | {'f1': 0.8766946417043254} | {'accuracy': 0.8168744007670182} |
| 0.007 | 637.0 | 170716 | 1.5340 | {'f1': 0.8794788273615636} | {'accuracy': 0.822627037392138} |
| 0.007 | 638.0 | 170984 | 1.6775 | {'f1': 0.873490146217419} | {'accuracy': 0.8092042186001918} |
| 0.0071 | 639.0 | 171252 | 1.4314 | {'f1': 0.8823142669296515} | {'accuracy': 0.8283796740172579} |
| 0.0059 | 640.0 | 171520 | 1.5496 | {'f1': 0.8845654993514916} | {'accuracy': 0.8293384467881112} |
| 0.0059 | 641.0 | 171788 | 1.6745 | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.0037 | 642.0 | 172056 | 1.6000 | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0037 | 643.0 | 172324 | 1.8842 | {'f1': 0.8722466960352422} | {'accuracy': 0.8053691275167785} |
| 0.0058 | 644.0 | 172592 | 1.6105 | {'f1': 0.8817766165904638} | {'accuracy': 0.8264621284755513} |
| 0.0058 | 645.0 | 172860 | 1.5538 | {'f1': 0.8821192052980134} | {'accuracy': 0.8293384467881112} |
| 0.0069 | 646.0 | 173128 | 1.6187 | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0069 | 647.0 | 173396 | 1.4811 | {'f1': 0.8825857519788918} | {'accuracy': 0.8293384467881112} |
| 0.0044 | 648.0 | 173664 | 1.6093 | {'f1': 0.8797953964194373} | {'accuracy': 0.8197507190795782} |
| 0.0044 | 649.0 | 173932 | 1.5749 | {'f1': 0.8834513844172568} | {'accuracy': 0.8264621284755513} |
| 0.005 | 650.0 | 174200 | 1.5911 | {'f1': 0.8808757244043787} | {'accuracy': 0.822627037392138} |
| 0.005 | 651.0 | 174468 | 1.5948 | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.0067 | 652.0 | 174736 | 1.6279 | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.0047 | 653.0 | 175004 | 1.4843 | {'f1': 0.8860927152317881} | {'accuracy': 0.835091083413231} |
| 0.0047 | 654.0 | 175272 | 1.6797 | {'f1': 0.880103694102398} | {'accuracy': 0.822627037392138} |
| 0.0027 | 655.0 | 175540 | 1.6829 | {'f1': 0.8810916179337233} | {'accuracy': 0.8245445829338447} |
| 0.0027 | 656.0 | 175808 | 1.6556 | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0065 | 657.0 | 176076 | 1.6331 | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0065 | 658.0 | 176344 | 1.5479 | {'f1': 0.8860589812332439} | {'accuracy': 0.8370086289549377} |
| 0.0058 | 659.0 | 176612 | 1.7328 | {'f1': 0.8782051282051283} | {'accuracy': 0.8178331735378715} |
| 0.0058 | 660.0 | 176880 | 1.6440 | {'f1': 0.8815104166666666} | {'accuracy': 0.825503355704698} |
| 0.0053 | 661.0 | 177148 | 1.7026 | {'f1': 0.8777633289986997} | {'accuracy': 0.8197507190795782} |
| 0.0053 | 662.0 | 177416 | 1.7220 | {'f1': 0.8773281952472703} | {'accuracy': 0.8168744007670182} |
| 0.0054 | 663.0 | 177684 | 1.7106 | {'f1': 0.8787684413085312} | {'accuracy': 0.8187919463087249} |
| 0.0054 | 664.0 | 177952 | 1.6862 | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0052 | 665.0 | 178220 | 1.6845 | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.0052 | 666.0 | 178488 | 1.7543 | {'f1': 0.8790218790218791} | {'accuracy': 0.8197507190795782} |
| 0.0052 | 667.0 | 178756 | 1.6313 | {'f1': 0.8790637191157347} | {'accuracy': 0.8216682646212847} |
| 0.0085 | 668.0 | 179024 | 1.6752 | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0085 | 669.0 | 179292 | 1.6499 | {'f1': 0.8810916179337233} | {'accuracy': 0.8245445829338447} |
| 0.0044 | 670.0 | 179560 | 1.7159 | {'f1': 0.8758085381630013} | {'accuracy': 0.8159156279961649} |
| 0.0044 | 671.0 | 179828 | 1.6521 | {'f1': 0.881201044386423} | {'accuracy': 0.825503355704698} |
| 0.0069 | 672.0 | 180096 | 1.6122 | {'f1': 0.8798955613577023} | {'accuracy': 0.8235858101629914} |
| 0.0069 | 673.0 | 180364 | 1.6488 | {'f1': 0.877444589308996} | {'accuracy': 0.8197507190795782} |
| 0.0072 | 674.0 | 180632 | 1.6800 | {'f1': 0.8788075178224238} | {'accuracy': 0.8207094918504314} |
| 0.0072 | 675.0 | 180900 | 1.7574 | {'f1': 0.8765352294764059} | {'accuracy': 0.8168744007670182} |
| 0.004 | 676.0 | 181168 | 1.6408 | {'f1': 0.8827766863130322} | {'accuracy': 0.8283796740172579} |
| 0.004 | 677.0 | 181436 | 1.6744 | {'f1': 0.881201044386423} | {'accuracy': 0.825503355704698} |
| 0.0055 | 678.0 | 181704 | 1.7759 | {'f1': 0.8781431334622825} | {'accuracy': 0.8187919463087249} |
| 0.0055 | 679.0 | 181972 | 1.8183 | {'f1': 0.8739603326935381} | {'accuracy': 0.8111217641418984} |
| 0.0059 | 680.0 | 182240 | 1.8144 | {'f1': 0.8755641521598968} | {'accuracy': 0.8149568552253116} |
| 0.0065 | 681.0 | 182508 | 1.6445 | {'f1': 0.8803139306736429} | {'accuracy': 0.8245445829338447} |
| 0.0065 | 682.0 | 182776 | 1.7231 | {'f1': 0.878334417696812} | {'accuracy': 0.8207094918504314} |
| 0.0051 | 683.0 | 183044 | 1.7208 | {'f1': 0.8808900523560209} | {'accuracy': 0.825503355704698} |
| 0.0051 | 684.0 | 183312 | 1.7769 | {'f1': 0.8750809061488675} | {'accuracy': 0.8149568552253116} |
| 0.0053 | 685.0 | 183580 | 1.7528 | {'f1': 0.8753246753246753} | {'accuracy': 0.8159156279961649} |
| 0.0053 | 686.0 | 183848 | 1.7685 | {'f1': 0.8760545100584036} | {'accuracy': 0.8168744007670182} |
| 0.005 | 687.0 | 184116 | 1.7305 | {'f1': 0.8771929824561404} | {'accuracy': 0.8187919463087249} |
| 0.005 | 688.0 | 184384 | 1.7494 | {'f1': 0.8766233766233766} | {'accuracy': 0.8178331735378715} |
| 0.0037 | 689.0 | 184652 | 1.6860 | {'f1': 0.8798424162836507} | {'accuracy': 0.8245445829338447} |
| 0.0037 | 690.0 | 184920 | 1.7626 | {'f1': 0.875893437296946} | {'accuracy': 0.8168744007670182} |
| 0.0041 | 691.0 | 185188 | 1.7876 | {'f1': 0.8762151652624757} | {'accuracy': 0.8168744007670182} |
| 0.0041 | 692.0 | 185456 | 1.7242 | {'f1': 0.875893437296946} | {'accuracy': 0.8168744007670182} |
| 0.0045 | 693.0 | 185724 | 1.8107 | {'f1': 0.8729139922978177} | {'accuracy': 0.8101629913710451} |
| 0.0045 | 694.0 | 185992 | 1.7086 | {'f1': 0.8771021992238034} | {'accuracy': 0.8178331735378715} |
| 0.005 | 695.0 | 186260 | 1.6863 | {'f1': 0.8788075178224238} | {'accuracy': 0.8207094918504314} |
| 0.0072 | 696.0 | 186528 | 1.5648 | {'f1': 0.8818481848184818} | {'accuracy': 0.8283796740172579} |
| 0.0072 | 697.0 | 186796 | 1.7455 | {'f1': 0.876765083440308} | {'accuracy': 0.8159156279961649} |
| 0.0045 | 698.0 | 187064 | 1.6478 | {'f1': 0.8817766165904638} | {'accuracy': 0.8264621284755513} |
| 0.0045 | 699.0 | 187332 | 1.7030 | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.0031 | 700.0 | 187600 | 1.9555 | {'f1': 0.8724747474747474} | {'accuracy': 0.8063279002876318} |
| 0.0031 | 701.0 | 187868 | 1.6503 | {'f1': 0.8815354070152218} | {'accuracy': 0.8283796740172579} |
| 0.0071 | 702.0 | 188136 | 1.7643 | {'f1': 0.8775113415424498} | {'accuracy': 0.8187919463087249} |
| 0.0071 | 703.0 | 188404 | 1.6566 | {'f1': 0.8790058862001309} | {'accuracy': 0.822627037392138} |
| 0.0076 | 704.0 | 188672 | 1.7519 | {'f1': 0.8775113415424498} | {'accuracy': 0.8187919463087249} |
| 0.0076 | 705.0 | 188940 | 1.7657 | {'f1': 0.8751608751608753} | {'accuracy': 0.8139980824544583} |
| 0.003 | 706.0 | 189208 | 1.7131 | {'f1': 0.8787483702737942} | {'accuracy': 0.8216682646212847} |
| 0.003 | 707.0 | 189476 | 1.6405 | {'f1': 0.8814669286182057} | {'accuracy': 0.8264621284755513} |
| 0.0068 | 708.0 | 189744 | 1.7380 | {'f1': 0.8784925276153347} | {'accuracy': 0.8207094918504314} |
| 0.0022 | 709.0 | 190012 | 1.7929 | {'f1': 0.8753213367609254} | {'accuracy': 0.8139980824544583} |
| 0.0022 | 710.0 | 190280 | 1.8563 | {'f1': 0.870453095086152} | {'accuracy': 0.8053691275167785} |
| 0.008 | 711.0 | 190548 | 1.6662 | {'f1': 0.8766233766233766} | {'accuracy': 0.8178331735378715} |
| 0.008 | 712.0 | 190816 | 1.6160 | {'f1': 0.8776315789473685} | {'accuracy': 0.8216682646212847} |
| 0.0043 | 713.0 | 191084 | 1.6463 | {'f1': 0.8766233766233766} | {'accuracy': 0.8178331735378715} |
| 0.0043 | 714.0 | 191352 | 1.7676 | {'f1': 0.8707829408020369} | {'accuracy': 0.8053691275167785} |
| 0.0083 | 715.0 | 191620 | 1.6735 | {'f1': 0.8762886597938144} | {'accuracy': 0.8159156279961649} |
| 0.0083 | 716.0 | 191888 | 1.6299 | {'f1': 0.8793215916503588} | {'accuracy': 0.822627037392138} |
| 0.0033 | 717.0 | 192156 | 1.5531 | {'f1': 0.8844621513944223} | {'accuracy': 0.8331735378715245} |
| 0.0033 | 718.0 | 192424 | 1.5674 | {'f1': 0.8846407382992749} | {'accuracy': 0.8322147651006712} |
| 0.0069 | 719.0 | 192692 | 1.6354 | {'f1': 0.8781758957654723} | {'accuracy': 0.8207094918504314} |
| 0.0069 | 720.0 | 192960 | 1.7000 | {'f1': 0.8729851708575114} | {'accuracy': 0.8111217641418984} |
| 0.0054 | 721.0 | 193228 | 1.7314 | {'f1': 0.8733850129198967} | {'accuracy': 0.8120805369127517} |
| 0.0054 | 722.0 | 193496 | 1.7528 | {'f1': 0.872680742162508} | {'accuracy': 0.8092042186001918} |
| 0.0063 | 723.0 | 193764 | 1.6435 | {'f1': 0.878334417696812} | {'accuracy': 0.8207094918504314} |
| 0.0038 | 724.0 | 194032 | 1.7055 | {'f1': 0.8752424046541694} | {'accuracy': 0.8149568552253116} |
| 0.0038 | 725.0 | 194300 | 1.6797 | {'f1': 0.8792207792207791} | {'accuracy': 0.8216682646212847} |
| 0.0039 | 726.0 | 194568 | 1.6571 | {'f1': 0.8763897972531065} | {'accuracy': 0.8187919463087249} |
| 0.0039 | 727.0 | 194836 | 1.7315 | {'f1': 0.8745148771021992} | {'accuracy': 0.8139980824544583} |
| 0.0031 | 728.0 | 195104 | 1.7590 | {'f1': 0.8771929824561404} | {'accuracy': 0.8187919463087249} |
| 0.0031 | 729.0 | 195372 | 1.7258 | {'f1': 0.8795811518324608} | {'accuracy': 0.8235858101629914} |
| 0.0052 | 730.0 | 195640 | 1.7521 | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.0052 | 731.0 | 195908 | 1.8223 | {'f1': 0.8764478764478765} | {'accuracy': 0.8159156279961649} |
| 0.0041 | 732.0 | 196176 | 1.7688 | {'f1': 0.8775113415424498} | {'accuracy': 0.8187919463087249} |
| 0.0041 | 733.0 | 196444 | 1.8872 | {'f1': 0.8735632183908045} | {'accuracy': 0.8101629913710451} |
| 0.004 | 734.0 | 196712 | 1.7450 | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.004 | 735.0 | 196980 | 1.7980 | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.0033 | 736.0 | 197248 | 1.7714 | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138} |
| 0.0038 | 737.0 | 197516 | 1.8320 | {'f1': 0.8804627249357326} | {'accuracy': 0.8216682646212847} |
| 0.0038 | 738.0 | 197784 | 1.7244 | {'f1': 0.8816219751471549} | {'accuracy': 0.8264621284755513} |
| 0.0059 | 739.0 | 198052 | 1.7333 | {'f1': 0.8810457516339869} | {'accuracy': 0.825503355704698} |
| 0.0059 | 740.0 | 198320 | 1.7029 | {'f1': 0.8800530152418821} | {'accuracy': 0.8264621284755513} |
| 0.0038 | 741.0 | 198588 | 1.9830 | {'f1': 0.8749206349206349} | {'accuracy': 0.8111217641418984} |
| 0.0038 | 742.0 | 198856 | 1.7379 | {'f1': 0.8807817589576548} | {'accuracy': 0.8245445829338447} |
| 0.0059 | 743.0 | 199124 | 1.7981 | {'f1': 0.8773281952472703} | {'accuracy': 0.8168744007670182} |
| 0.0059 | 744.0 | 199392 | 1.6733 | {'f1': 0.8791639451338994} | {'accuracy': 0.822627037392138} |
| 0.0067 | 745.0 | 199660 | 1.6431 | {'f1': 0.881311475409836} | {'accuracy': 0.8264621284755513} |
| 0.0067 | 746.0 | 199928 | 1.7976 | {'f1': 0.8766066838046273} | {'accuracy': 0.8159156279961649} |
| 0.0038 | 747.0 | 200196 | 1.8288 | {'f1': 0.8766066838046273} | {'accuracy': 0.8159156279961649} |
| 0.0038 | 748.0 | 200464 | 1.8158 | {'f1': 0.8766946417043254} | {'accuracy': 0.8168744007670182} |
| 0.0027 | 749.0 | 200732 | 1.8319 | {'f1': 0.8778280542986426} | {'accuracy': 0.8187919463087249} |
| 0.0049 | 750.0 | 201000 | 1.7412 | {'f1': 0.8777633289986997} | {'accuracy': 0.8197507190795782} |
| 0.0049 | 751.0 | 201268 | 1.7763 | {'f1': 0.8748387096774194} | {'accuracy': 0.8139980824544583} |
| 0.0055 | 752.0 | 201536 | 1.8193 | {'f1': 0.8748403575989783} | {'accuracy': 0.8120805369127517} |
| 0.0055 | 753.0 | 201804 | 1.8406 | {'f1': 0.8746803069053708} | {'accuracy': 0.8120805369127517} |
| 0.0046 | 754.0 | 202072 | 1.7268 | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.0046 | 755.0 | 202340 | 1.7142 | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.0047 | 756.0 | 202608 | 1.6997 | {'f1': 0.8845144356955381} | {'accuracy': 0.8312559923298178} |
| 0.0047 | 757.0 | 202876 | 1.7258 | {'f1': 0.881664499349805} | {'accuracy': 0.825503355704698} |
| 0.0031 | 758.0 | 203144 | 1.7215 | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138} |
| 0.0031 | 759.0 | 203412 | 1.5866 | {'f1': 0.8869795109054858} | {'accuracy': 0.8360498561840843} |
| 0.0053 | 760.0 | 203680 | 1.6946 | {'f1': 0.8788075178224238} | {'accuracy': 0.8207094918504314} |
| 0.0053 | 761.0 | 203948 | 1.6686 | {'f1': 0.8820445609436436} | {'accuracy': 0.8274209012464045} |
| 0.0041 | 762.0 | 204216 | 1.7516 | {'f1': 0.8786502271252432} | {'accuracy': 0.8207094918504314} |
| 0.0041 | 763.0 | 204484 | 1.5971 | {'f1': 0.8853545394300861} | {'accuracy': 0.8341323106423778} |
| 0.0056 | 764.0 | 204752 | 1.6843 | {'f1': 0.8804702808621816} | {'accuracy': 0.8245445829338447} |
| 0.0043 | 765.0 | 205020 | 1.7372 | {'f1': 0.8787483702737942} | {'accuracy': 0.8216682646212847} |
| 0.0043 | 766.0 | 205288 | 1.6615 | {'f1': 0.8798938287989383} | {'accuracy': 0.8264621284755513} |
| 0.0043 | 767.0 | 205556 | 1.6561 | {'f1': 0.8761528326745718} | {'accuracy': 0.8197507190795782} |
| 0.0043 | 768.0 | 205824 | 1.7583 | {'f1': 0.8775113415424498} | {'accuracy': 0.8187919463087249} |
| 0.0053 | 769.0 | 206092 | 1.7672 | {'f1': 0.8773523685918235} | {'accuracy': 0.8187919463087249} |
| 0.0053 | 770.0 | 206360 | 1.7304 | {'f1': 0.8817065287653523} | {'accuracy': 0.8245445829338447} |
| 0.0056 | 771.0 | 206628 | 1.8357 | {'f1': 0.8738853503184713} | {'accuracy': 0.8101629913710451} |
| 0.0056 | 772.0 | 206896 | 1.7828 | {'f1': 0.8734746307000643} | {'accuracy': 0.8111217641418984} |
| 0.0062 | 773.0 | 207164 | 1.6784 | {'f1': 0.8809993425378042} | {'accuracy': 0.8264621284755513} |
| 0.0062 | 774.0 | 207432 | 1.8125 | {'f1': 0.875724404378622} | {'accuracy': 0.8149568552253116} |
| 0.0045 | 775.0 | 207700 | 1.6581 | {'f1': 0.8825481088254811} | {'accuracy': 0.8302972195589645} |
| 0.0045 | 776.0 | 207968 | 1.8068 | {'f1': 0.875724404378622} | {'accuracy': 0.8149568552253116} |
| 0.0042 | 777.0 | 208236 | 1.6534 | {'f1': 0.8825065274151437} | {'accuracy': 0.8274209012464045} |
| 0.0037 | 778.0 | 208504 | 1.6978 | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0037 | 779.0 | 208772 | 1.7502 | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138} |
| 0.0045 | 780.0 | 209040 | 1.6534 | {'f1': 0.8816219751471549} | {'accuracy': 0.8264621284755513} |
| 0.0045 | 781.0 | 209308 | 1.7469 | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698} |
| 0.0041 | 782.0 | 209576 | 1.6870 | {'f1': 0.8852672750977836} | {'accuracy': 0.8312559923298178} |
| 0.0041 | 783.0 | 209844 | 1.6736 | {'f1': 0.881201044386423} | {'accuracy': 0.825503355704698} |
| 0.0056 | 784.0 | 210112 | 1.6185 | {'f1': 0.8846153846153847} | {'accuracy': 0.8331735378715245} |
| 0.0056 | 785.0 | 210380 | 1.7621 | {'f1': 0.8789808917197452} | {'accuracy': 0.8178331735378715} |
| 0.0045 | 786.0 | 210648 | 1.7368 | {'f1': 0.8815958815958816} | {'accuracy': 0.8235858101629914} |
| 0.0045 | 787.0 | 210916 | 1.6879 | {'f1': 0.882084690553746} | {'accuracy': 0.8264621284755513} |
| 0.0048 | 788.0 | 211184 | 1.6329 | {'f1': 0.8829300196206671} | {'accuracy': 0.8283796740172579} |
| 0.0048 | 789.0 | 211452 | 1.5510 | {'f1': 0.8840291583830351} | {'accuracy': 0.8322147651006712} |
| 0.0066 | 790.0 | 211720 | 1.7462 | {'f1': 0.8772378516624041} | {'accuracy': 0.8159156279961649} |
| 0.0066 | 791.0 | 211988 | 1.6829 | {'f1': 0.8778920308483289} | {'accuracy': 0.8178331735378715} |
| 0.0052 | 792.0 | 212256 | 1.7384 | {'f1': 0.8765195137555982} | {'accuracy': 0.8149568552253116} |
| 0.0046 | 793.0 | 212524 | 1.5288 | {'f1': 0.8831683168316831} | {'accuracy': 0.8302972195589645} |
| 0.0046 | 794.0 | 212792 | 1.6314 | {'f1': 0.8778280542986426} | {'accuracy': 0.8187919463087249} |
| 0.0036 | 795.0 | 213060 | 1.6961 | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0036 | 796.0 | 213328 | 1.6279 | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0086 | 797.0 | 213596 | 1.5934 | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0086 | 798.0 | 213864 | 1.6056 | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.0023 | 799.0 | 214132 | 1.7151 | {'f1': 0.8797427652733119} | {'accuracy': 0.8207094918504314} |
| 0.0023 | 800.0 | 214400 | 1.6747 | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.0048 | 801.0 | 214668 | 1.6526 | {'f1': 0.8839634941329856} | {'accuracy': 0.8293384467881112} |
| 0.0048 | 802.0 | 214936 | 1.8124 | {'f1': 0.8766773162939298} | {'accuracy': 0.8149568552253116} |
| 0.004 | 803.0 | 215204 | 1.6009 | {'f1': 0.8869795109054858} | {'accuracy': 0.8360498561840843} |
| 0.004 | 804.0 | 215472 | 1.6713 | {'f1': 0.8837820091923834} | {'accuracy': 0.8302972195589645} |
| 0.0035 | 805.0 | 215740 | 1.7786 | {'f1': 0.8776699029126214} | {'accuracy': 0.8187919463087249} |
| 0.009 | 806.0 | 216008 | 1.6155 | {'f1': 0.8824688115561392} | {'accuracy': 0.8283796740172579} |
| 0.009 | 807.0 | 216276 | 1.8566 | {'f1': 0.8777070063694268} | {'accuracy': 0.8159156279961649} |
| 0.0044 | 808.0 | 216544 | 1.8075 | {'f1': 0.8778920308483289} | {'accuracy': 0.8178331735378715} |
| 0.0044 | 809.0 | 216812 | 1.7520 | {'f1': 0.8754863813229572} | {'accuracy': 0.8159156279961649} |
| 0.0038 | 810.0 | 217080 | 1.7588 | {'f1': 0.8754034861200773} | {'accuracy': 0.8149568552253116} |
| 0.0038 | 811.0 | 217348 | 1.7571 | {'f1': 0.8753213367609254} | {'accuracy': 0.8139980824544583} |
| 0.0024 | 812.0 | 217616 | 1.6821 | {'f1': 0.8778280542986426} | {'accuracy': 0.8187919463087249} |
| 0.0024 | 813.0 | 217884 | 1.7767 | {'f1': 0.8738853503184713} | {'accuracy': 0.8101629913710451} |
| 0.0046 | 814.0 | 218152 | 1.6097 | {'f1': 0.8815104166666666} | {'accuracy': 0.825503355704698} |
| 0.0046 | 815.0 | 218420 | 1.7486 | {'f1': 0.8780487804878049} | {'accuracy': 0.8178331735378715} |
| 0.0037 | 816.0 | 218688 | 1.6667 | {'f1': 0.8786502271252432} | {'accuracy': 0.8207094918504314} |
| 0.0037 | 817.0 | 218956 | 1.7741 | {'f1': 0.8809218950064021} | {'accuracy': 0.8216682646212847} |
| 0.0039 | 818.0 | 219224 | 1.7586 | {'f1': 0.8778920308483289} | {'accuracy': 0.8178331735378715} |
| 0.0039 | 819.0 | 219492 | 1.8500 | {'f1': 0.874442319949012} | {'accuracy': 0.8111217641418984} |
| 0.0042 | 820.0 | 219760 | 1.6335 | {'f1': 0.8850952068286276} | {'accuracy': 0.8322147651006712} |
| 0.0035 | 821.0 | 220028 | 1.7159 | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.0035 | 822.0 | 220296 | 1.6268 | {'f1': 0.8826229508196721} | {'accuracy': 0.8283796740172579} |
| 0.0034 | 823.0 | 220564 | 1.7472 | {'f1': 0.8779857972885732} | {'accuracy': 0.8187919463087249} |
| 0.0034 | 824.0 | 220832 | 1.7281 | {'f1': 0.8792207792207791} | {'accuracy': 0.8216682646212847} |
| 0.0043 | 825.0 | 221100 | 1.9709 | {'f1': 0.8708860759493672} | {'accuracy': 0.8044103547459253} |
| 0.0043 | 826.0 | 221368 | 1.7841 | {'f1': 0.8775113415424498} | {'accuracy': 0.8187919463087249} |
| 0.0029 | 827.0 | 221636 | 1.6511 | {'f1': 0.8821593153390389} | {'accuracy': 0.8283796740172579} |
| 0.0029 | 828.0 | 221904 | 1.6653 | {'f1': 0.8839344262295081} | {'accuracy': 0.8302972195589645} |
| 0.0066 | 829.0 | 222172 | 1.7373 | {'f1': 0.881664499349805} | {'accuracy': 0.825503355704698} |
| 0.0066 | 830.0 | 222440 | 1.8514 | {'f1': 0.8765195137555982} | {'accuracy': 0.8149568552253116} |
| 0.0038 | 831.0 | 222708 | 1.6693 | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0038 | 832.0 | 222976 | 1.7700 | {'f1': 0.8760436737315349} | {'accuracy': 0.8149568552253116} |
| 0.0083 | 833.0 | 223244 | 1.7370 | {'f1': 0.875968992248062} | {'accuracy': 0.8159156279961649} |
| 0.0037 | 834.0 | 223512 | 1.8060 | {'f1': 0.8738738738738738} | {'accuracy': 0.8120805369127517} |
| 0.0037 | 835.0 | 223780 | 1.8111 | {'f1': 0.8721901091843288} | {'accuracy': 0.8092042186001918} |
| 0.0041 | 836.0 | 224048 | 1.7567 | {'f1': 0.8745148771021992} | {'accuracy': 0.8139980824544583} |
| 0.0041 | 837.0 | 224316 | 1.7176 | {'f1': 0.87890625} | {'accuracy': 0.8216682646212847} |
| 0.0026 | 838.0 | 224584 | 1.8231 | {'f1': 0.8725868725868725} | {'accuracy': 0.8101629913710451} |
| 0.0026 | 839.0 | 224852 | 1.8063 | {'f1': 0.8719590268886044} | {'accuracy': 0.8082454458293384} |
| 0.005 | 840.0 | 225120 | 1.6256 | {'f1': 0.8833551769331585} | {'accuracy': 0.8293384467881112} |
| 0.005 | 841.0 | 225388 | 1.6150 | {'f1': 0.8843626806833115} | {'accuracy': 0.8312559923298178} |
| 0.0057 | 842.0 | 225656 | 1.7313 | {'f1': 0.8792207792207791} | {'accuracy': 0.8216682646212847} |
| 0.0057 | 843.0 | 225924 | 1.6658 | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0044 | 844.0 | 226192 | 1.7049 | {'f1': 0.8786502271252432} | {'accuracy': 0.8207094918504314} |
| 0.0044 | 845.0 | 226460 | 1.7423 | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0039 | 846.0 | 226728 | 1.8133 | {'f1': 0.8756410256410255} | {'accuracy': 0.8139980824544583} |
| 0.0039 | 847.0 | 226996 | 1.6587 | {'f1': 0.8805774278215224} | {'accuracy': 0.825503355704698} |
| 0.0055 | 848.0 | 227264 | 1.7479 | {'f1': 0.8728211749515816} | {'accuracy': 0.8111217641418984} |
| 0.0044 | 849.0 | 227532 | 1.8513 | {'f1': 0.8759493670886076} | {'accuracy': 0.8120805369127517} |
| 0.0044 | 850.0 | 227800 | 1.6038 | {'f1': 0.8830486202365309} | {'accuracy': 0.8293384467881112} |
| 0.0051 | 851.0 | 228068 | 1.5725 | {'f1': 0.884589726484323} | {'accuracy': 0.8341323106423778} |
| 0.0051 | 852.0 | 228336 | 1.6583 | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.0055 | 853.0 | 228604 | 1.6347 | {'f1': 0.87890625} | {'accuracy': 0.8216682646212847} |
| 0.0055 | 854.0 | 228872 | 1.6689 | {'f1': 0.8789644012944984} | {'accuracy': 0.8207094918504314} |
| 0.0058 | 855.0 | 229140 | 1.6962 | {'f1': 0.8754034861200773} | {'accuracy': 0.8149568552253116} |
| 0.0058 | 856.0 | 229408 | 1.7181 | {'f1': 0.8777348777348777} | {'accuracy': 0.8178331735378715} |
| 0.0046 | 857.0 | 229676 | 1.6005 | {'f1': 0.8808900523560209} | {'accuracy': 0.825503355704698} |
| 0.0046 | 858.0 | 229944 | 1.6238 | {'f1': 0.883013879709187} | {'accuracy': 0.8302972195589645} |
| 0.0026 | 859.0 | 230212 | 1.7520 | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.0026 | 860.0 | 230480 | 1.6015 | {'f1': 0.884896872920825} | {'accuracy': 0.8341323106423778} |
| 0.0039 | 861.0 | 230748 | 1.7206 | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0034 | 862.0 | 231016 | 1.7790 | {'f1': 0.8785166240409207} | {'accuracy': 0.8178331735378715} |
| 0.0034 | 863.0 | 231284 | 1.6350 | {'f1': 0.8852459016393444} | {'accuracy': 0.8322147651006712} |
| 0.0037 | 864.0 | 231552 | 1.5944 | {'f1': 0.8856576338400529} | {'accuracy': 0.8341323106423778} |
| 0.0037 | 865.0 | 231820 | 1.7224 | {'f1': 0.8827319587628866} | {'accuracy': 0.825503355704698} |
| 0.0039 | 866.0 | 232088 | 1.7204 | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0039 | 867.0 | 232356 | 1.8272 | {'f1': 0.8802547770700637} | {'accuracy': 0.8197507190795782} |
| 0.0035 | 868.0 | 232624 | 1.7540 | {'f1': 0.8810289389067525} | {'accuracy': 0.822627037392138} |
| 0.0035 | 869.0 | 232892 | 1.7437 | {'f1': 0.8801546391752577} | {'accuracy': 0.8216682646212847} |
| 0.0038 | 870.0 | 233160 | 1.7174 | {'f1': 0.8810289389067525} | {'accuracy': 0.822627037392138} |
| 0.0038 | 871.0 | 233428 | 1.7520 | {'f1': 0.8777348777348777} | {'accuracy': 0.8178331735378715} |
| 0.005 | 872.0 | 233696 | 1.7174 | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.005 | 873.0 | 233964 | 1.5598 | {'f1': 0.8810160427807487} | {'accuracy': 0.8293384467881112} |
| 0.0051 | 874.0 | 234232 | 1.6021 | {'f1': 0.8775645268034415} | {'accuracy': 0.822627037392138} |
| 0.0027 | 875.0 | 234500 | 1.6392 | {'f1': 0.879526003949967} | {'accuracy': 0.8245445829338447} |
| 0.0027 | 876.0 | 234768 | 1.6905 | {'f1': 0.882084690553746} | {'accuracy': 0.8264621284755513} |
| 0.0027 | 877.0 | 235036 | 1.7570 | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0027 | 878.0 | 235304 | 1.8483 | {'f1': 0.8786717752234994} | {'accuracy': 0.8178331735378715} |
| 0.0072 | 879.0 | 235572 | 1.8065 | {'f1': 0.8762886597938144} | {'accuracy': 0.8159156279961649} |
| 0.0072 | 880.0 | 235840 | 1.6987 | {'f1': 0.8783694937541091} | {'accuracy': 0.822627037392138} |
| 0.0046 | 881.0 | 236108 | 1.7673 | {'f1': 0.8767833981841764} | {'accuracy': 0.8178331735378715} |
| 0.0046 | 882.0 | 236376 | 1.8220 | {'f1': 0.8797953964194373} | {'accuracy': 0.8197507190795782} |
| 0.0045 | 883.0 | 236644 | 1.7788 | {'f1': 0.8774193548387096} | {'accuracy': 0.8178331735378715} |
| 0.0045 | 884.0 | 236912 | 1.7548 | {'f1': 0.8793774319066148} | {'accuracy': 0.8216682646212847} |
| 0.0037 | 885.0 | 237180 | 1.8482 | {'f1': 0.8737988468930173} | {'accuracy': 0.8111217641418984} |
| 0.0037 | 886.0 | 237448 | 1.7246 | {'f1': 0.8803139306736429} | {'accuracy': 0.8245445829338447} |
| 0.0043 | 887.0 | 237716 | 1.7016 | {'f1': 0.8825065274151437} | {'accuracy': 0.8274209012464045} |
| 0.0043 | 888.0 | 237984 | 1.7859 | {'f1': 0.8767833981841764} | {'accuracy': 0.8178331735378715} |
| 0.0024 | 889.0 | 238252 | 1.7984 | {'f1': 0.8766946417043254} | {'accuracy': 0.8168744007670182} |
| 0.0039 | 890.0 | 238520 | 1.8528 | {'f1': 0.8770122343850613} | {'accuracy': 0.8168744007670182} |
| 0.0039 | 891.0 | 238788 | 1.8695 | {'f1': 0.8775773195876289} | {'accuracy': 0.8178331735378715} |
| 0.0027 | 892.0 | 239056 | 1.8291 | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0027 | 893.0 | 239324 | 1.8205 | {'f1': 0.8775773195876289} | {'accuracy': 0.8178331735378715} |
| 0.0029 | 894.0 | 239592 | 1.7720 | {'f1': 0.881664499349805} | {'accuracy': 0.825503355704698} |
| 0.0029 | 895.0 | 239860 | 1.7360 | {'f1': 0.8827766863130322} | {'accuracy': 0.8283796740172579} |
| 0.004 | 896.0 | 240128 | 1.8698 | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138} |
| 0.004 | 897.0 | 240396 | 1.7753 | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0021 | 898.0 | 240664 | 1.8340 | {'f1': 0.8793774319066148} | {'accuracy': 0.8216682646212847} |
| 0.0021 | 899.0 | 240932 | 1.7983 | {'f1': 0.8815104166666666} | {'accuracy': 0.825503355704698} |
| 0.0033 | 900.0 | 241200 | 1.7796 | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.0033 | 901.0 | 241468 | 1.7700 | {'f1': 0.8787483702737942} | {'accuracy': 0.8216682646212847} |
| 0.0067 | 902.0 | 241736 | 1.9109 | {'f1': 0.877642536835362} | {'accuracy': 0.8168744007670182} |
| 0.0037 | 903.0 | 242004 | 1.8321 | {'f1': 0.8753213367609254} | {'accuracy': 0.8139980824544583} |
| 0.0037 | 904.0 | 242272 | 1.8963 | {'f1': 0.8732394366197184} | {'accuracy': 0.8101629913710451} |
| 0.0028 | 905.0 | 242540 | 1.9076 | {'f1': 0.8746803069053708} | {'accuracy': 0.8120805369127517} |
| 0.0028 | 906.0 | 242808 | 1.8290 | {'f1': 0.8733118971061095} | {'accuracy': 0.8111217641418984} |
| 0.0073 | 907.0 | 243076 | 1.8120 | {'f1': 0.8735483870967742} | {'accuracy': 0.8120805369127517} |
| 0.0073 | 908.0 | 243344 | 1.7870 | {'f1': 0.8767833981841764} | {'accuracy': 0.8178331735378715} |
| 0.0047 | 909.0 | 243612 | 1.7056 | {'f1': 0.88} | {'accuracy': 0.8245445829338447} |
| 0.0047 | 910.0 | 243880 | 1.7776 | {'f1': 0.8796356538711776} | {'accuracy': 0.822627037392138} |
| 0.0032 | 911.0 | 244148 | 1.7314 | {'f1': 0.8784313725490197} | {'accuracy': 0.8216682646212847} |
| 0.0032 | 912.0 | 244416 | 1.9044 | {'f1': 0.8773946360153257} | {'accuracy': 0.8159156279961649} |
| 0.0018 | 913.0 | 244684 | 1.7254 | {'f1': 0.8805774278215224} | {'accuracy': 0.825503355704698} |
| 0.0018 | 914.0 | 244952 | 1.7534 | {'f1': 0.8834759710335748} | {'accuracy': 0.8302972195589645} |
| 0.0051 | 915.0 | 245220 | 1.7663 | {'f1': 0.8793215916503588} | {'accuracy': 0.822627037392138} |
| 0.0051 | 916.0 | 245488 | 1.8056 | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138} |
| 0.0041 | 917.0 | 245756 | 1.7533 | {'f1': 0.8833551769331585} | {'accuracy': 0.8293384467881112} |
| 0.003 | 918.0 | 246024 | 1.8135 | {'f1': 0.8790637191157347} | {'accuracy': 0.8216682646212847} |
| 0.003 | 919.0 | 246292 | 1.7684 | {'f1': 0.8771929824561404} | {'accuracy': 0.8187919463087249} |
| 0.0054 | 920.0 | 246560 | 1.8179 | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.0054 | 921.0 | 246828 | 1.8098 | {'f1': 0.8792207792207791} | {'accuracy': 0.8216682646212847} |
| 0.0033 | 922.0 | 247096 | 1.8191 | {'f1': 0.8769633507853404} | {'accuracy': 0.8197507190795782} |
| 0.0033 | 923.0 | 247364 | 1.8498 | {'f1': 0.8798955613577023} | {'accuracy': 0.8235858101629914} |
| 0.0028 | 924.0 | 247632 | 1.8232 | {'f1': 0.8800521512385918} | {'accuracy': 0.8235858101629914} |
| 0.0028 | 925.0 | 247900 | 1.8013 | {'f1': 0.8794788273615636} | {'accuracy': 0.822627037392138} |
| 0.0069 | 926.0 | 248168 | 1.9143 | {'f1': 0.8725176169122358} | {'accuracy': 0.8092042186001918} |
| 0.0069 | 927.0 | 248436 | 1.9115 | {'f1': 0.8741976893453146} | {'accuracy': 0.8120805369127517} |
| 0.0035 | 928.0 | 248704 | 1.7548 | {'f1': 0.8842380640941793} | {'accuracy': 0.8302972195589645} |
| 0.0035 | 929.0 | 248972 | 1.6685 | {'f1': 0.8872775214238628} | {'accuracy': 0.8360498561840843} |
| 0.0039 | 930.0 | 249240 | 1.6608 | {'f1': 0.8842105263157894} | {'accuracy': 0.8312559923298178} |
| 0.0064 | 931.0 | 249508 | 1.6370 | {'f1': 0.8835978835978837} | {'accuracy': 0.8312559923298178} |
| 0.0064 | 932.0 | 249776 | 1.8191 | {'f1': 0.8765352294764059} | {'accuracy': 0.8168744007670182} |
| 0.0036 | 933.0 | 250044 | 1.7709 | {'f1': 0.8793215916503588} | {'accuracy': 0.822627037392138} |
| 0.0036 | 934.0 | 250312 | 1.8190 | {'f1': 0.8761290322580645} | {'accuracy': 0.8159156279961649} |
| 0.0032 | 935.0 | 250580 | 1.7693 | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.0032 | 936.0 | 250848 | 1.7449 | {'f1': 0.8795811518324608} | {'accuracy': 0.8235858101629914} |
| 0.0024 | 937.0 | 251116 | 1.8426 | {'f1': 0.8778920308483289} | {'accuracy': 0.8178331735378715} |
| 0.0024 | 938.0 | 251384 | 1.9520 | {'f1': 0.8733459357277883} | {'accuracy': 0.8072866730584851} |
| 0.0043 | 939.0 | 251652 | 1.7875 | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0043 | 940.0 | 251920 | 1.7743 | {'f1': 0.8835393623942747} | {'accuracy': 0.8283796740172579} |
| 0.0026 | 941.0 | 252188 | 1.8042 | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0026 | 942.0 | 252456 | 1.7185 | {'f1': 0.8832020997375328} | {'accuracy': 0.8293384467881112} |
| 0.0022 | 943.0 | 252724 | 1.8951 | {'f1': 0.8747591522157996} | {'accuracy': 0.8130393096836049} |
| 0.0022 | 944.0 | 252992 | 1.8067 | {'f1': 0.880674448767834} | {'accuracy': 0.8235858101629914} |
| 0.0045 | 945.0 | 253260 | 1.8181 | {'f1': 0.880103694102398} | {'accuracy': 0.822627037392138} |
| 0.0019 | 946.0 | 253528 | 1.7585 | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0019 | 947.0 | 253796 | 1.7718 | {'f1': 0.8828125} | {'accuracy': 0.8274209012464045} |
| 0.0035 | 948.0 | 254064 | 1.7953 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.0035 | 949.0 | 254332 | 1.8987 | {'f1': 0.8789237668161436} | {'accuracy': 0.8187919463087249} |
| 0.0024 | 950.0 | 254600 | 1.8300 | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698} |
| 0.0024 | 951.0 | 254868 | 1.7962 | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0029 | 952.0 | 255136 | 1.8478 | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0029 | 953.0 | 255404 | 1.7880 | {'f1': 0.8819308545335943} | {'accuracy': 0.8264621284755513} |
| 0.0031 | 954.0 | 255672 | 1.7130 | {'f1': 0.8839050131926122} | {'accuracy': 0.8312559923298178} |
| 0.0031 | 955.0 | 255940 | 1.7727 | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0032 | 956.0 | 256208 | 1.8618 | {'f1': 0.8789237668161436} | {'accuracy': 0.8187919463087249} |
| 0.0032 | 957.0 | 256476 | 1.7039 | {'f1': 0.8847926267281107} | {'accuracy': 0.8322147651006712} |
| 0.0029 | 958.0 | 256744 | 1.7791 | {'f1': 0.8858447488584474} | {'accuracy': 0.8322147651006712} |
| 0.0045 | 959.0 | 257012 | 1.7812 | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0045 | 960.0 | 257280 | 1.8882 | {'f1': 0.8772378516624041} | {'accuracy': 0.8159156279961649} |
| 0.0033 | 961.0 | 257548 | 1.7006 | {'f1': 0.8834437086092717} | {'accuracy': 0.8312559923298178} |
| 0.0033 | 962.0 | 257816 | 1.8888 | {'f1': 0.8780487804878049} | {'accuracy': 0.8178331735378715} |
| 0.0043 | 963.0 | 258084 | 1.7166 | {'f1': 0.8869795109054858} | {'accuracy': 0.8360498561840843} |
| 0.0043 | 964.0 | 258352 | 1.7764 | {'f1': 0.8830829523187459} | {'accuracy': 0.8283796740172579} |
| 0.0029 | 965.0 | 258620 | 1.8232 | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138} |
| 0.0029 | 966.0 | 258888 | 1.8520 | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0039 | 967.0 | 259156 | 1.7956 | {'f1': 0.8841145833333333} | {'accuracy': 0.8293384467881112} |
| 0.0039 | 968.0 | 259424 | 1.7899 | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.005 | 969.0 | 259692 | 1.7714 | {'f1': 0.8853754940711462} | {'accuracy': 0.8331735378715245} |
| 0.005 | 970.0 | 259960 | 1.8541 | {'f1': 0.881664499349805} | {'accuracy': 0.825503355704698} |
| 0.0026 | 971.0 | 260228 | 1.8533 | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0026 | 972.0 | 260496 | 1.9431 | {'f1': 0.8766066838046273} | {'accuracy': 0.8159156279961649} |
| 0.0029 | 973.0 | 260764 | 1.8721 | {'f1': 0.8841145833333333} | {'accuracy': 0.8293384467881112} |
| 0.0033 | 974.0 | 261032 | 1.8050 | {'f1': 0.88433575677462} | {'accuracy': 0.8322147651006712} |
| 0.0033 | 975.0 | 261300 | 1.8258 | {'f1': 0.8855461085676913} | {'accuracy': 0.8322147651006712} |
| 0.0032 | 976.0 | 261568 | 1.7880 | {'f1': 0.8815354070152218} | {'accuracy': 0.8283796740172579} |
| 0.0032 | 977.0 | 261836 | 1.8582 | {'f1': 0.8825065274151437} | {'accuracy': 0.8274209012464045} |
| 0.0054 | 978.0 | 262104 | 1.8111 | {'f1': 0.8820039551746869} | {'accuracy': 0.8283796740172579} |
| 0.0054 | 979.0 | 262372 | 1.8732 | {'f1': 0.881399870382372} | {'accuracy': 0.8245445829338447} |
| 0.003 | 980.0 | 262640 | 1.8168 | {'f1': 0.8823142669296515} | {'accuracy': 0.8283796740172579} |
| 0.003 | 981.0 | 262908 | 1.8652 | {'f1': 0.8821989528795812} | {'accuracy': 0.8274209012464045} |
| 0.0027 | 982.0 | 263176 | 1.8022 | {'f1': 0.8817345597897503} | {'accuracy': 0.8274209012464045} |
| 0.0027 | 983.0 | 263444 | 1.8613 | {'f1': 0.8836601307189542} | {'accuracy': 0.8293384467881112} |
| 0.0048 | 984.0 | 263712 | 1.9481 | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138} |
| 0.0048 | 985.0 | 263980 | 1.8413 | {'f1': 0.8856956237753103} | {'accuracy': 0.8322147651006712} |
| 0.003 | 986.0 | 264248 | 1.8189 | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.0048 | 987.0 | 264516 | 1.8358 | {'f1': 0.8842380640941793} | {'accuracy': 0.8302972195589645} |
| 0.0048 | 988.0 | 264784 | 1.9688 | {'f1': 0.8768536428110896} | {'accuracy': 0.8168744007670182} |
| 0.0035 | 989.0 | 265052 | 1.9110 | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.0035 | 990.0 | 265320 | 1.9088 | {'f1': 0.880674448767834} | {'accuracy': 0.8235858101629914} |
| 0.0034 | 991.0 | 265588 | 1.8523 | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0034 | 992.0 | 265856 | 1.9090 | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.0043 | 993.0 | 266124 | 1.9719 | {'f1': 0.8732394366197184} | {'accuracy': 0.8101629913710451} |
| 0.0043 | 994.0 | 266392 | 1.8581 | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0032 | 995.0 | 266660 | 1.8710 | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0032 | 996.0 | 266928 | 1.7686 | {'f1': 0.8827404479578393} | {'accuracy': 0.8293384467881112} |
| 0.0022 | 997.0 | 267196 | 1.7697 | {'f1': 0.8825857519788918} | {'accuracy': 0.8293384467881112} |
| 0.0022 | 998.0 | 267464 | 1.7832 | {'f1': 0.8823142669296515} | {'accuracy': 0.8283796740172579} |
| 0.0023 | 999.0 | 267732 | 1.8761 | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.003 | 1000.0 | 268000 | 1.8633 | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.003 | 1001.0 | 268268 | 1.9415 | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.0032 | 1002.0 | 268536 | 1.8288 | {'f1': 0.8802631578947369} | {'accuracy': 0.825503355704698} |
| 0.0032 | 1003.0 | 268804 | 1.9240 | {'f1': 0.880722114764668} | {'accuracy': 0.822627037392138} |
| 0.0026 | 1004.0 | 269072 | 1.9288 | {'f1': 0.8841423948220065} | {'accuracy': 0.8283796740172579} |
| 0.0026 | 1005.0 | 269340 | 1.8354 | {'f1': 0.8823142669296515} | {'accuracy': 0.8283796740172579} |
| 0.003 | 1006.0 | 269608 | 1.9312 | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698} |
| 0.003 | 1007.0 | 269876 | 1.9980 | {'f1': 0.8783610755441742} | {'accuracy': 0.8178331735378715} |
| 0.0056 | 1008.0 | 270144 | 1.9172 | {'f1': 0.8820116054158607} | {'accuracy': 0.8245445829338447} |
| 0.0056 | 1009.0 | 270412 | 1.8910 | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0024 | 1010.0 | 270680 | 1.8348 | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0024 | 1011.0 | 270948 | 1.9444 | {'f1': 0.8787684413085312} | {'accuracy': 0.8187919463087249} |
| 0.0035 | 1012.0 | 271216 | 1.8986 | {'f1': 0.8778280542986426} | {'accuracy': 0.8187919463087249} |
| 0.0035 | 1013.0 | 271484 | 1.8286 | {'f1': 0.8791639451338994} | {'accuracy': 0.822627037392138} |
| 0.0023 | 1014.0 | 271752 | 1.9554 | {'f1': 0.8765195137555982} | {'accuracy': 0.8149568552253116} |
| 0.003 | 1015.0 | 272020 | 1.8654 | {'f1': 0.8797920727745288} | {'accuracy': 0.822627037392138} |
| 0.003 | 1016.0 | 272288 | 1.9021 | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0047 | 1017.0 | 272556 | 1.8398 | {'f1': 0.8794233289646134} | {'accuracy': 0.8235858101629914} |
| 0.0047 | 1018.0 | 272824 | 1.8313 | {'f1': 0.8794233289646134} | {'accuracy': 0.8235858101629914} |
| 0.0021 | 1019.0 | 273092 | 1.9474 | {'f1': 0.8785529715762274} | {'accuracy': 0.8197507190795782} |
| 0.0021 | 1020.0 | 273360 | 1.9078 | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0024 | 1021.0 | 273628 | 1.8744 | {'f1': 0.8810457516339869} | {'accuracy': 0.825503355704698} |
| 0.0024 | 1022.0 | 273896 | 1.9857 | {'f1': 0.8761290322580645} | {'accuracy': 0.8159156279961649} |
| 0.003 | 1023.0 | 274164 | 1.9581 | {'f1': 0.8789644012944984} | {'accuracy': 0.8207094918504314} |
| 0.003 | 1024.0 | 274432 | 1.8342 | {'f1': 0.8828947368421053} | {'accuracy': 0.8293384467881112} |
| 0.0037 | 1025.0 | 274700 | 1.9730 | {'f1': 0.8776699029126214} | {'accuracy': 0.8187919463087249} |
| 0.0037 | 1026.0 | 274968 | 1.8663 | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.0022 | 1027.0 | 275236 | 1.8905 | {'f1': 0.8835393623942747} | {'accuracy': 0.8283796740172579} |
| 0.0049 | 1028.0 | 275504 | 1.9600 | {'f1': 0.8774193548387096} | {'accuracy': 0.8178331735378715} |
| 0.0049 | 1029.0 | 275772 | 1.9920 | {'f1': 0.876765083440308} | {'accuracy': 0.8159156279961649} |
| 0.0052 | 1030.0 | 276040 | 1.8970 | {'f1': 0.8832684824902725} | {'accuracy': 0.8274209012464045} |
| 0.0052 | 1031.0 | 276308 | 1.7975 | {'f1': 0.8868421052631579} | {'accuracy': 0.835091083413231} |
| 0.0023 | 1032.0 | 276576 | 1.9400 | {'f1': 0.8781431334622825} | {'accuracy': 0.8187919463087249} |
| 0.0023 | 1033.0 | 276844 | 1.8927 | {'f1': 0.8792207792207791} | {'accuracy': 0.8216682646212847} |
| 0.0024 | 1034.0 | 277112 | 1.8006 | {'f1': 0.883322346736981} | {'accuracy': 0.8302972195589645} |
| 0.0024 | 1035.0 | 277380 | 2.0195 | {'f1': 0.876923076923077} | {'accuracy': 0.8159156279961649} |
| 0.0042 | 1036.0 | 277648 | 1.8033 | {'f1': 0.8833551769331585} | {'accuracy': 0.8293384467881112} |
| 0.0042 | 1037.0 | 277916 | 1.9525 | {'f1': 0.8762026940346376} | {'accuracy': 0.8149568552253116} |
| 0.0042 | 1038.0 | 278184 | 1.8825 | {'f1': 0.8810916179337233} | {'accuracy': 0.8245445829338447} |
| 0.0042 | 1039.0 | 278452 | 1.9709 | {'f1': 0.8761290322580645} | {'accuracy': 0.8159156279961649} |
| 0.0033 | 1040.0 | 278720 | 1.9175 | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.0033 | 1041.0 | 278988 | 1.7999 | {'f1': 0.8821593153390389} | {'accuracy': 0.8283796740172579} |
| 0.003 | 1042.0 | 279256 | 1.9391 | {'f1': 0.8780487804878049} | {'accuracy': 0.8178331735378715} |
| 0.0044 | 1043.0 | 279524 | 1.9390 | {'f1': 0.8797427652733119} | {'accuracy': 0.8207094918504314} |
| 0.0044 | 1044.0 | 279792 | 1.7404 | {'f1': 0.886968085106383} | {'accuracy': 0.8370086289549377} |
| 0.0027 | 1045.0 | 280060 | 1.9139 | {'f1': 0.8822768434670116} | {'accuracy': 0.825503355704698} |
| 0.0027 | 1046.0 | 280328 | 1.8573 | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0028 | 1047.0 | 280596 | 1.8974 | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0028 | 1048.0 | 280864 | 1.9556 | {'f1': 0.8768536428110896} | {'accuracy': 0.8168744007670182} |
| 0.0037 | 1049.0 | 281132 | 1.9721 | {'f1': 0.8781431334622825} | {'accuracy': 0.8187919463087249} |
| 0.0037 | 1050.0 | 281400 | 1.8445 | {'f1': 0.881201044386423} | {'accuracy': 0.825503355704698} |
| 0.0027 | 1051.0 | 281668 | 1.8529 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0027 | 1052.0 | 281936 | 1.8861 | {'f1': 0.8810916179337233} | {'accuracy': 0.8245445829338447} |
| 0.0032 | 1053.0 | 282204 | 1.9200 | {'f1': 0.8786502271252432} | {'accuracy': 0.8207094918504314} |
| 0.0032 | 1054.0 | 282472 | 1.8420 | {'f1': 0.8795811518324608} | {'accuracy': 0.8235858101629914} |
| 0.0022 | 1055.0 | 282740 | 1.8641 | {'f1': 0.8796356538711776} | {'accuracy': 0.822627037392138} |
| 0.0046 | 1056.0 | 283008 | 2.0412 | {'f1': 0.8737244897959184} | {'accuracy': 0.8101629913710451} |
| 0.0046 | 1057.0 | 283276 | 1.9593 | {'f1': 0.876765083440308} | {'accuracy': 0.8159156279961649} |
| 0.0025 | 1058.0 | 283544 | 1.8894 | {'f1': 0.8782383419689119} | {'accuracy': 0.8197507190795782} |
| 0.0025 | 1059.0 | 283812 | 1.9341 | {'f1': 0.8747591522157996} | {'accuracy': 0.8130393096836049} |
| 0.007 | 1060.0 | 284080 | 1.8257 | {'f1': 0.8778280542986426} | {'accuracy': 0.8187919463087249} |
| 0.007 | 1061.0 | 284348 | 1.9134 | {'f1': 0.8754813863928111} | {'accuracy': 0.8139980824544583} |
| 0.0023 | 1062.0 | 284616 | 1.7726 | {'f1': 0.8819308545335943} | {'accuracy': 0.8264621284755513} |
| 0.0023 | 1063.0 | 284884 | 1.9423 | {'f1': 0.8726114649681528} | {'accuracy': 0.8082454458293384} |
| 0.0058 | 1064.0 | 285152 | 1.7419 | {'f1': 0.8798955613577023} | {'accuracy': 0.8235858101629914} |
| 0.0058 | 1065.0 | 285420 | 1.8181 | {'f1': 0.8752424046541694} | {'accuracy': 0.8149568552253116} |
| 0.0019 | 1066.0 | 285688 | 1.8312 | {'f1': 0.8746770025839793} | {'accuracy': 0.8139980824544583} |
| 0.0019 | 1067.0 | 285956 | 1.6782 | {'f1': 0.8791064388961892} | {'accuracy': 0.8235858101629914} |
| 0.0027 | 1068.0 | 286224 | 1.7993 | {'f1': 0.8757319453480807} | {'accuracy': 0.8168744007670182} |
| 0.0027 | 1069.0 | 286492 | 1.8997 | {'f1': 0.8762026940346376} | {'accuracy': 0.8149568552253116} |
| 0.0027 | 1070.0 | 286760 | 1.8941 | {'f1': 0.8760436737315349} | {'accuracy': 0.8149568552253116} |
| 0.0034 | 1071.0 | 287028 | 1.7802 | {'f1': 0.8790058862001309} | {'accuracy': 0.822627037392138} |
| 0.0034 | 1072.0 | 287296 | 1.8261 | {'f1': 0.8772609819121446} | {'accuracy': 0.8178331735378715} |
| 0.0041 | 1073.0 | 287564 | 1.7698 | {'f1': 0.877444589308996} | {'accuracy': 0.8197507190795782} |
| 0.0041 | 1074.0 | 287832 | 1.9026 | {'f1': 0.8756410256410255} | {'accuracy': 0.8139980824544583} |
| 0.0031 | 1075.0 | 288100 | 1.8199 | {'f1': 0.881399870382372} | {'accuracy': 0.8245445829338447} |
| 0.0031 | 1076.0 | 288368 | 1.7601 | {'f1': 0.8807817589576548} | {'accuracy': 0.8245445829338447} |
| 0.0041 | 1077.0 | 288636 | 1.8057 | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138} |
| 0.0041 | 1078.0 | 288904 | 1.8665 | {'f1': 0.8754813863928111} | {'accuracy': 0.8139980824544583} |
| 0.0036 | 1079.0 | 289172 | 1.8196 | {'f1': 0.8775773195876289} | {'accuracy': 0.8178331735378715} |
| 0.0036 | 1080.0 | 289440 | 1.9006 | {'f1': 0.8772378516624041} | {'accuracy': 0.8159156279961649} |
| 0.003 | 1081.0 | 289708 | 1.7250 | {'f1': 0.8830829523187459} | {'accuracy': 0.8283796740172579} |
| 0.003 | 1082.0 | 289976 | 1.9282 | {'f1': 0.8766773162939298} | {'accuracy': 0.8149568552253116} |
| 0.0034 | 1083.0 | 290244 | 1.7364 | {'f1': 0.8816219751471549} | {'accuracy': 0.8264621284755513} |
| 0.0036 | 1084.0 | 290512 | 1.7771 | {'f1': 0.8800521512385918} | {'accuracy': 0.8235858101629914} |
| 0.0036 | 1085.0 | 290780 | 1.7554 | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0022 | 1086.0 | 291048 | 1.7554 | {'f1': 0.880842659644503} | {'accuracy': 0.8264621284755513} |
| 0.0022 | 1087.0 | 291316 | 1.8834 | {'f1': 0.8781431334622825} | {'accuracy': 0.8187919463087249} |
| 0.0034 | 1088.0 | 291584 | 1.9937 | {'f1': 0.8724489795918368} | {'accuracy': 0.8082454458293384} |
| 0.0034 | 1089.0 | 291852 | 1.8842 | {'f1': 0.8778920308483289} | {'accuracy': 0.8178331735378715} |
| 0.0041 | 1090.0 | 292120 | 1.7706 | {'f1': 0.881201044386423} | {'accuracy': 0.825503355704698} |
| 0.0041 | 1091.0 | 292388 | 1.9328 | {'f1': 0.8787684413085312} | {'accuracy': 0.8187919463087249} |
| 0.0034 | 1092.0 | 292656 | 1.9214 | {'f1': 0.8770806658130602} | {'accuracy': 0.8159156279961649} |
| 0.0034 | 1093.0 | 292924 | 1.6807 | {'f1': 0.8881535407015221} | {'accuracy': 0.837967401725791} |
| 0.0042 | 1094.0 | 293192 | 1.8737 | {'f1': 0.8804627249357326} | {'accuracy': 0.8216682646212847} |
| 0.0042 | 1095.0 | 293460 | 1.8598 | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0048 | 1096.0 | 293728 | 1.6615 | {'f1': 0.8847926267281107} | {'accuracy': 0.8322147651006712} |
| 0.0048 | 1097.0 | 293996 | 1.7572 | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0026 | 1098.0 | 294264 | 1.8020 | {'f1': 0.8765352294764059} | {'accuracy': 0.8168744007670182} |
| 0.0029 | 1099.0 | 294532 | 1.8817 | {'f1': 0.8794871794871796} | {'accuracy': 0.8197507190795782} |
| 0.0029 | 1100.0 | 294800 | 1.8713 | {'f1': 0.877642536835362} | {'accuracy': 0.8168744007670182} |
| 0.0021 | 1101.0 | 295068 | 1.8253 | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.0021 | 1102.0 | 295336 | 1.8152 | {'f1': 0.8775113415424498} | {'accuracy': 0.8187919463087249} |
| 0.0023 | 1103.0 | 295604 | 1.9678 | {'f1': 0.8785166240409207} | {'accuracy': 0.8178331735378715} |
| 0.0023 | 1104.0 | 295872 | 1.7870 | {'f1': 0.8804702808621816} | {'accuracy': 0.8245445829338447} |
| 0.0028 | 1105.0 | 296140 | 1.7280 | {'f1': 0.8835662009314704} | {'accuracy': 0.8322147651006712} |
| 0.0028 | 1106.0 | 296408 | 2.0007 | {'f1': 0.8796944621260344} | {'accuracy': 0.8187919463087249} |
| 0.0029 | 1107.0 | 296676 | 1.8255 | {'f1': 0.8817065287653523} | {'accuracy': 0.8245445829338447} |
| 0.0029 | 1108.0 | 296944 | 1.9466 | {'f1': 0.8807692307692307} | {'accuracy': 0.8216682646212847} |
| 0.0043 | 1109.0 | 297212 | 1.8808 | {'f1': 0.8821635544108178} | {'accuracy': 0.8245445829338447} |
| 0.0043 | 1110.0 | 297480 | 1.8432 | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698} |
| 0.0045 | 1111.0 | 297748 | 1.8335 | {'f1': 0.881664499349805} | {'accuracy': 0.825503355704698} |
| 0.002 | 1112.0 | 298016 | 1.8473 | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698} |
| 0.002 | 1113.0 | 298284 | 2.0208 | {'f1': 0.876991714467814} | {'accuracy': 0.8149568552253116} |
| 0.0024 | 1114.0 | 298552 | 1.9311 | {'f1': 0.8800513149454778} | {'accuracy': 0.8207094918504314} |
| 0.0024 | 1115.0 | 298820 | 1.8597 | {'f1': 0.8820116054158607} | {'accuracy': 0.8245445829338447} |
| 0.0042 | 1116.0 | 299088 | 1.8163 | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698} |
| 0.0042 | 1117.0 | 299356 | 1.9041 | {'f1': 0.8781431334622825} | {'accuracy': 0.8187919463087249} |
| 0.0018 | 1118.0 | 299624 | 1.8183 | {'f1': 0.8828125} | {'accuracy': 0.8274209012464045} |
| 0.0018 | 1119.0 | 299892 | 1.8276 | {'f1': 0.8828125} | {'accuracy': 0.8274209012464045} |
| 0.0023 | 1120.0 | 300160 | 1.9028 | {'f1': 0.879177377892031} | {'accuracy': 0.8197507190795782} |
| 0.0023 | 1121.0 | 300428 | 1.7665 | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.0032 | 1122.0 | 300696 | 1.7775 | {'f1': 0.881664499349805} | {'accuracy': 0.825503355704698} |
| 0.0032 | 1123.0 | 300964 | 1.9306 | {'f1': 0.877642536835362} | {'accuracy': 0.8168744007670182} |
| 0.0038 | 1124.0 | 301232 | 1.7593 | {'f1': 0.88296488946684} | {'accuracy': 0.8274209012464045} |
| 0.0037 | 1125.0 | 301500 | 1.7302 | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.0037 | 1126.0 | 301768 | 1.7594 | {'f1': 0.88296488946684} | {'accuracy': 0.8274209012464045} |
| 0.0048 | 1127.0 | 302036 | 1.8707 | {'f1': 0.8783610755441742} | {'accuracy': 0.8178331735378715} |
| 0.0048 | 1128.0 | 302304 | 1.7132 | {'f1': 0.8852672750977836} | {'accuracy': 0.8312559923298178} |
| 0.003 | 1129.0 | 302572 | 1.7302 | {'f1': 0.8841145833333333} | {'accuracy': 0.8293384467881112} |
| 0.003 | 1130.0 | 302840 | 1.7162 | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.0026 | 1131.0 | 303108 | 1.7761 | {'f1': 0.8812903225806452} | {'accuracy': 0.8235858101629914} |
| 0.0026 | 1132.0 | 303376 | 1.8016 | {'f1': 0.8804627249357326} | {'accuracy': 0.8216682646212847} |
| 0.0024 | 1133.0 | 303644 | 1.7055 | {'f1': 0.8859764089121887} | {'accuracy': 0.8331735378715245} |
| 0.0024 | 1134.0 | 303912 | 1.7412 | {'f1': 0.8865710560625816} | {'accuracy': 0.8331735378715245} |
| 0.0016 | 1135.0 | 304180 | 1.7611 | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0016 | 1136.0 | 304448 | 1.7830 | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.0028 | 1137.0 | 304716 | 1.7944 | {'f1': 0.8797920727745288} | {'accuracy': 0.822627037392138} |
| 0.0028 | 1138.0 | 304984 | 1.7152 | {'f1': 0.8836601307189542} | {'accuracy': 0.8293384467881112} |
| 0.0055 | 1139.0 | 305252 | 1.9301 | {'f1': 0.8788265306122449} | {'accuracy': 0.8178331735378715} |
| 0.0035 | 1140.0 | 305520 | 1.7817 | {'f1': 0.880674448767834} | {'accuracy': 0.8235858101629914} |
| 0.0035 | 1141.0 | 305788 | 1.6994 | {'f1': 0.8827404479578393} | {'accuracy': 0.8293384467881112} |
| 0.0048 | 1142.0 | 306056 | 1.7996 | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138} |
| 0.0048 | 1143.0 | 306324 | 1.8155 | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.0042 | 1144.0 | 306592 | 1.6932 | {'f1': 0.883013879709187} | {'accuracy': 0.8302972195589645} |
| 0.0042 | 1145.0 | 306860 | 1.9368 | {'f1': 0.876991714467814} | {'accuracy': 0.8149568552253116} |
| 0.0039 | 1146.0 | 307128 | 1.8765 | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.0039 | 1147.0 | 307396 | 1.7851 | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698} |
| 0.0034 | 1148.0 | 307664 | 1.8651 | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.0034 | 1149.0 | 307932 | 1.8980 | {'f1': 0.879177377892031} | {'accuracy': 0.8197507190795782} |
| 0.0042 | 1150.0 | 308200 | 1.8739 | {'f1': 0.8778920308483289} | {'accuracy': 0.8178331735378715} |
| 0.0042 | 1151.0 | 308468 | 1.7545 | {'f1': 0.88296488946684} | {'accuracy': 0.8274209012464045} |
| 0.0042 | 1152.0 | 308736 | 1.8382 | {'f1': 0.8790218790218791} | {'accuracy': 0.8197507190795782} |
| 0.002 | 1153.0 | 309004 | 1.8632 | {'f1': 0.8787684413085312} | {'accuracy': 0.8187919463087249} |
| 0.002 | 1154.0 | 309272 | 1.7751 | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.002 | 1155.0 | 309540 | 1.7368 | {'f1': 0.884967320261438} | {'accuracy': 0.8312559923298178} |
| 0.002 | 1156.0 | 309808 | 1.9513 | {'f1': 0.8773946360153257} | {'accuracy': 0.8159156279961649} |
| 0.0022 | 1157.0 | 310076 | 1.8543 | {'f1': 0.8768536428110896} | {'accuracy': 0.8168744007670182} |
| 0.0022 | 1158.0 | 310344 | 1.8218 | {'f1': 0.8786502271252432} | {'accuracy': 0.8207094918504314} |
| 0.0026 | 1159.0 | 310612 | 1.8411 | {'f1': 0.880103694102398} | {'accuracy': 0.822627037392138} |
| 0.0026 | 1160.0 | 310880 | 1.7833 | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0029 | 1161.0 | 311148 | 1.7895 | {'f1': 0.8830829523187459} | {'accuracy': 0.8283796740172579} |
| 0.0029 | 1162.0 | 311416 | 1.8256 | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0034 | 1163.0 | 311684 | 1.8319 | {'f1': 0.8782383419689119} | {'accuracy': 0.8197507190795782} |
| 0.0034 | 1164.0 | 311952 | 1.7267 | {'f1': 0.8858085808580859} | {'accuracy': 0.8341323106423778} |
| 0.0023 | 1165.0 | 312220 | 1.8693 | {'f1': 0.8766946417043254} | {'accuracy': 0.8168744007670182} |
| 0.0023 | 1166.0 | 312488 | 1.8542 | {'f1': 0.8763754045307444} | {'accuracy': 0.8168744007670182} |
| 0.0055 | 1167.0 | 312756 | 1.7510 | {'f1': 0.8830486202365309} | {'accuracy': 0.8293384467881112} |
| 0.0031 | 1168.0 | 313024 | 1.8501 | {'f1': 0.875724404378622} | {'accuracy': 0.8149568552253116} |
| 0.0031 | 1169.0 | 313292 | 1.8394 | {'f1': 0.8774193548387096} | {'accuracy': 0.8178331735378715} |
| 0.0049 | 1170.0 | 313560 | 1.8878 | {'f1': 0.8814862267777066} | {'accuracy': 0.822627037392138} |
| 0.0049 | 1171.0 | 313828 | 1.8372 | {'f1': 0.881859264041317} | {'accuracy': 0.8245445829338447} |
| 0.0034 | 1172.0 | 314096 | 1.7411 | {'f1': 0.8820445609436436} | {'accuracy': 0.8274209012464045} |
| 0.0034 | 1173.0 | 314364 | 1.7400 | {'f1': 0.8806262230919765} | {'accuracy': 0.8245445829338447} |
| 0.0041 | 1174.0 | 314632 | 1.8188 | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0041 | 1175.0 | 314900 | 1.7736 | {'f1': 0.8823529411764706} | {'accuracy': 0.8274209012464045} |
| 0.0021 | 1176.0 | 315168 | 1.8968 | {'f1': 0.8784213876511776} | {'accuracy': 0.8168744007670182} |
| 0.0021 | 1177.0 | 315436 | 1.8161 | {'f1': 0.8795878943979395} | {'accuracy': 0.8207094918504314} |
| 0.0042 | 1178.0 | 315704 | 1.7219 | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138} |
| 0.0042 | 1179.0 | 315972 | 1.6678 | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.0038 | 1180.0 | 316240 | 1.7753 | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.0024 | 1181.0 | 316508 | 1.8661 | {'f1': 0.8773281952472703} | {'accuracy': 0.8168744007670182} |
| 0.0024 | 1182.0 | 316776 | 1.8076 | {'f1': 0.8793774319066148} | {'accuracy': 0.8216682646212847} |
| 0.0023 | 1183.0 | 317044 | 1.7940 | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138} |
| 0.0023 | 1184.0 | 317312 | 1.8250 | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138} |
| 0.003 | 1185.0 | 317580 | 1.6788 | {'f1': 0.8840291583830351} | {'accuracy': 0.8322147651006712} |
| 0.003 | 1186.0 | 317848 | 1.7289 | {'f1': 0.8832020997375328} | {'accuracy': 0.8293384467881112} |
| 0.0032 | 1187.0 | 318116 | 1.8399 | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0032 | 1188.0 | 318384 | 1.7542 | {'f1': 0.8813559322033898} | {'accuracy': 0.825503355704698} |
| 0.0034 | 1189.0 | 318652 | 1.7842 | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.0034 | 1190.0 | 318920 | 1.7614 | {'f1': 0.8813559322033898} | {'accuracy': 0.825503355704698} |
| 0.0031 | 1191.0 | 319188 | 1.7937 | {'f1': 0.880674448767834} | {'accuracy': 0.8235858101629914} |
| 0.0031 | 1192.0 | 319456 | 1.7480 | {'f1': 0.8813559322033898} | {'accuracy': 0.825503355704698} |
| 0.0019 | 1193.0 | 319724 | 1.8243 | {'f1': 0.880722114764668} | {'accuracy': 0.822627037392138} |
| 0.0019 | 1194.0 | 319992 | 1.8947 | {'f1': 0.8762755102040816} | {'accuracy': 0.8139980824544583} |
| 0.0035 | 1195.0 | 320260 | 1.8264 | {'f1': 0.8833010960670536} | {'accuracy': 0.8264621284755513} |
| 0.0027 | 1196.0 | 320528 | 1.7701 | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0027 | 1197.0 | 320796 | 1.7926 | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.002 | 1198.0 | 321064 | 1.9490 | {'f1': 0.876117496807152} | {'accuracy': 0.8139980824544583} |
| 0.002 | 1199.0 | 321332 | 1.7626 | {'f1': 0.8826229508196721} | {'accuracy': 0.8283796740172579} |
| 0.0055 | 1200.0 | 321600 | 1.9140 | {'f1': 0.8780487804878049} | {'accuracy': 0.8178331735378715} |
| 0.0055 | 1201.0 | 321868 | 1.8124 | {'f1': 0.880674448767834} | {'accuracy': 0.8235858101629914} |
| 0.0036 | 1202.0 | 322136 | 1.7833 | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0036 | 1203.0 | 322404 | 1.7976 | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0028 | 1204.0 | 322672 | 1.8530 | {'f1': 0.8782051282051283} | {'accuracy': 0.8178331735378715} |
| 0.0028 | 1205.0 | 322940 | 1.8728 | {'f1': 0.8766066838046273} | {'accuracy': 0.8159156279961649} |
| 0.0053 | 1206.0 | 323208 | 1.8401 | {'f1': 0.8806161745827985} | {'accuracy': 0.8216682646212847} |
| 0.0053 | 1207.0 | 323476 | 1.7476 | {'f1': 0.8819308545335943} | {'accuracy': 0.8264621284755513} |
| 0.0054 | 1208.0 | 323744 | 1.8645 | {'f1': 0.8815958815958816} | {'accuracy': 0.8235858101629914} |
| 0.0019 | 1209.0 | 324012 | 1.7266 | {'f1': 0.8831683168316831} | {'accuracy': 0.8302972195589645} |
| 0.0019 | 1210.0 | 324280 | 1.8538 | {'f1': 0.8810289389067525} | {'accuracy': 0.822627037392138} |
| 0.0025 | 1211.0 | 324548 | 1.8804 | {'f1': 0.8802049967969251} | {'accuracy': 0.8207094918504314} |
| 0.0025 | 1212.0 | 324816 | 1.8721 | {'f1': 0.8810289389067525} | {'accuracy': 0.822627037392138} |
| 0.0041 | 1213.0 | 325084 | 1.7423 | {'f1': 0.8807339449541284} | {'accuracy': 0.825503355704698} |
| 0.0041 | 1214.0 | 325352 | 1.7937 | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.003 | 1215.0 | 325620 | 1.6573 | {'f1': 0.8796791443850267} | {'accuracy': 0.8274209012464045} |
| 0.003 | 1216.0 | 325888 | 1.7644 | {'f1': 0.8858447488584474} | {'accuracy': 0.8322147651006712} |
| 0.004 | 1217.0 | 326156 | 1.8032 | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.004 | 1218.0 | 326424 | 1.7083 | {'f1': 0.886408404464872} | {'accuracy': 0.8341323106423778} |
| 0.0029 | 1219.0 | 326692 | 1.7933 | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.0029 | 1220.0 | 326960 | 1.8422 | {'f1': 0.8841423948220065} | {'accuracy': 0.8283796740172579} |
| 0.0027 | 1221.0 | 327228 | 1.8144 | {'f1': 0.8845654993514916} | {'accuracy': 0.8293384467881112} |
| 0.0027 | 1222.0 | 327496 | 1.7938 | {'f1': 0.8878748370273793} | {'accuracy': 0.835091083413231} |
| 0.0025 | 1223.0 | 327764 | 1.7498 | {'f1': 0.8875739644970414} | {'accuracy': 0.8360498561840843} |
| 0.0021 | 1224.0 | 328032 | 1.8159 | {'f1': 0.8868660598179455} | {'accuracy': 0.8331735378715245} |
| 0.0021 | 1225.0 | 328300 | 1.7575 | {'f1': 0.8855263157894737} | {'accuracy': 0.8331735378715245} |
| 0.0029 | 1226.0 | 328568 | 1.8096 | {'f1': 0.8867059593975114} | {'accuracy': 0.8341323106423778} |
| 0.0029 | 1227.0 | 328836 | 1.9609 | {'f1': 0.8789237668161436} | {'accuracy': 0.8187919463087249} |
| 0.0021 | 1228.0 | 329104 | 1.8192 | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0021 | 1229.0 | 329372 | 1.7996 | {'f1': 0.8835393623942747} | {'accuracy': 0.8283796740172579} |
| 0.0036 | 1230.0 | 329640 | 1.6772 | {'f1': 0.8846657929226737} | {'accuracy': 0.8312559923298178} |
| 0.0036 | 1231.0 | 329908 | 1.7926 | {'f1': 0.8844415752098128} | {'accuracy': 0.8283796740172579} |
| 0.0048 | 1232.0 | 330176 | 1.8220 | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698} |
| 0.0048 | 1233.0 | 330444 | 1.7301 | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.0026 | 1234.0 | 330712 | 1.7218 | {'f1': 0.8829300196206671} | {'accuracy': 0.8283796740172579} |
| 0.0026 | 1235.0 | 330980 | 1.7858 | {'f1': 0.8835393623942747} | {'accuracy': 0.8283796740172579} |
| 0.0032 | 1236.0 | 331248 | 1.7898 | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0021 | 1237.0 | 331516 | 1.8191 | {'f1': 0.8841145833333333} | {'accuracy': 0.8293384467881112} |
| 0.0021 | 1238.0 | 331784 | 1.8071 | {'f1': 0.88296488946684} | {'accuracy': 0.8274209012464045} |
| 0.0032 | 1239.0 | 332052 | 1.8074 | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.0032 | 1240.0 | 332320 | 1.8625 | {'f1': 0.8827319587628866} | {'accuracy': 0.825503355704698} |
| 0.0024 | 1241.0 | 332588 | 1.8309 | {'f1': 0.8841423948220065} | {'accuracy': 0.8283796740172579} |
| 0.0024 | 1242.0 | 332856 | 1.7365 | {'f1': 0.880952380952381} | {'accuracy': 0.8274209012464045} |
| 0.0037 | 1243.0 | 333124 | 1.8527 | {'f1': 0.8804627249357326} | {'accuracy': 0.8216682646212847} |
| 0.0037 | 1244.0 | 333392 | 1.8448 | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0029 | 1245.0 | 333660 | 1.8240 | {'f1': 0.881399870382372} | {'accuracy': 0.8245445829338447} |
| 0.0029 | 1246.0 | 333928 | 1.7800 | {'f1': 0.8855461085676913} | {'accuracy': 0.8322147651006712} |
| 0.002 | 1247.0 | 334196 | 1.8131 | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.002 | 1248.0 | 334464 | 1.7653 | {'f1': 0.886408404464872} | {'accuracy': 0.8341323106423778} |
| 0.0023 | 1249.0 | 334732 | 1.7286 | {'f1': 0.8847926267281107} | {'accuracy': 0.8322147651006712} |
| 0.0037 | 1250.0 | 335000 | 1.8791 | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0037 | 1251.0 | 335268 | 1.8655 | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0029 | 1252.0 | 335536 | 1.8085 | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.0029 | 1253.0 | 335804 | 1.8479 | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.0022 | 1254.0 | 336072 | 1.9266 | {'f1': 0.8800513149454778} | {'accuracy': 0.8207094918504314} |
| 0.0022 | 1255.0 | 336340 | 1.9030 | {'f1': 0.8803088803088803} | {'accuracy': 0.8216682646212847} |
| 0.0026 | 1256.0 | 336608 | 1.8002 | {'f1': 0.8781758957654723} | {'accuracy': 0.8207094918504314} |
| 0.0026 | 1257.0 | 336876 | 1.8250 | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0034 | 1258.0 | 337144 | 1.8617 | {'f1': 0.8808757244043787} | {'accuracy': 0.822627037392138} |
| 0.0034 | 1259.0 | 337412 | 1.8608 | {'f1': 0.8814432989690721} | {'accuracy': 0.8235858101629914} |
| 0.0017 | 1260.0 | 337680 | 1.7741 | {'f1': 0.8820445609436436} | {'accuracy': 0.8274209012464045} |
| 0.0017 | 1261.0 | 337948 | 1.7532 | {'f1': 0.8820445609436436} | {'accuracy': 0.8274209012464045} |
| 0.0044 | 1262.0 | 338216 | 1.9144 | {'f1': 0.8803088803088803} | {'accuracy': 0.8216682646212847} |
| 0.0044 | 1263.0 | 338484 | 1.8384 | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0034 | 1264.0 | 338752 | 1.8526 | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.0036 | 1265.0 | 339020 | 1.8393 | {'f1': 0.8803088803088803} | {'accuracy': 0.8216682646212847} |
| 0.0036 | 1266.0 | 339288 | 1.7915 | {'f1': 0.8779857972885732} | {'accuracy': 0.8187919463087249} |
| 0.0055 | 1267.0 | 339556 | 1.8825 | {'f1': 0.876765083440308} | {'accuracy': 0.8159156279961649} |
| 0.0055 | 1268.0 | 339824 | 1.7938 | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.0022 | 1269.0 | 340092 | 1.8548 | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.0022 | 1270.0 | 340360 | 1.7473 | {'f1': 0.8795811518324608} | {'accuracy': 0.8235858101629914} |
| 0.0022 | 1271.0 | 340628 | 1.8232 | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.0022 | 1272.0 | 340896 | 1.8400 | {'f1': 0.8811369509043928} | {'accuracy': 0.8235858101629914} |
| 0.0027 | 1273.0 | 341164 | 1.8095 | {'f1': 0.8793774319066148} | {'accuracy': 0.8216682646212847} |
| 0.0027 | 1274.0 | 341432 | 1.8629 | {'f1': 0.880722114764668} | {'accuracy': 0.822627037392138} |
| 0.0026 | 1275.0 | 341700 | 1.8486 | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0026 | 1276.0 | 341968 | 1.8442 | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.002 | 1277.0 | 342236 | 1.8215 | {'f1': 0.878334417696812} | {'accuracy': 0.8207094918504314} |
| 0.0023 | 1278.0 | 342504 | 1.8425 | {'f1': 0.8774193548387096} | {'accuracy': 0.8178331735378715} |
| 0.0023 | 1279.0 | 342772 | 2.0166 | {'f1': 0.878017789072427} | {'accuracy': 0.8159156279961649} |
| 0.0028 | 1280.0 | 343040 | 1.7724 | {'f1': 0.881201044386423} | {'accuracy': 0.825503355704698} |
| 0.0028 | 1281.0 | 343308 | 1.8734 | {'f1': 0.8804627249357326} | {'accuracy': 0.8216682646212847} |
| 0.0024 | 1282.0 | 343576 | 1.8742 | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.0024 | 1283.0 | 343844 | 1.7987 | {'f1': 0.881201044386423} | {'accuracy': 0.825503355704698} |
| 0.004 | 1284.0 | 344112 | 1.8626 | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.004 | 1285.0 | 344380 | 1.8775 | {'f1': 0.8808757244043787} | {'accuracy': 0.822627037392138} |
| 0.0027 | 1286.0 | 344648 | 1.8029 | {'f1': 0.8790058862001309} | {'accuracy': 0.822627037392138} |
| 0.0027 | 1287.0 | 344916 | 1.8722 | {'f1': 0.8781431334622825} | {'accuracy': 0.8187919463087249} |
| 0.0022 | 1288.0 | 345184 | 1.9832 | {'f1': 0.8803582853486884} | {'accuracy': 0.8207094918504314} |
| 0.0022 | 1289.0 | 345452 | 1.9973 | {'f1': 0.8788265306122449} | {'accuracy': 0.8178331735378715} |
| 0.0028 | 1290.0 | 345720 | 1.8957 | {'f1': 0.8811369509043928} | {'accuracy': 0.8235858101629914} |
| 0.0028 | 1291.0 | 345988 | 1.9370 | {'f1': 0.8796414852752881} | {'accuracy': 0.8197507190795782} |
| 0.002 | 1292.0 | 346256 | 1.8383 | {'f1': 0.880103694102398} | {'accuracy': 0.822627037392138} |
| 0.0025 | 1293.0 | 346524 | 1.8794 | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138} |
| 0.0025 | 1294.0 | 346792 | 1.8439 | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698} |
| 0.0029 | 1295.0 | 347060 | 1.9400 | {'f1': 0.8804627249357326} | {'accuracy': 0.8216682646212847} |
| 0.0029 | 1296.0 | 347328 | 1.7717 | {'f1': 0.8824306472919419} | {'accuracy': 0.8293384467881112} |
| 0.0028 | 1297.0 | 347596 | 1.7711 | {'f1': 0.8798424162836507} | {'accuracy': 0.8245445829338447} |
| 0.0028 | 1298.0 | 347864 | 1.7864 | {'f1': 0.8805774278215224} | {'accuracy': 0.825503355704698} |
| 0.003 | 1299.0 | 348132 | 1.8508 | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.003 | 1300.0 | 348400 | 1.8795 | {'f1': 0.8798972382787411} | {'accuracy': 0.8207094918504314} |
| 0.0033 | 1301.0 | 348668 | 1.8508 | {'f1': 0.8820116054158607} | {'accuracy': 0.8245445829338447} |
| 0.0033 | 1302.0 | 348936 | 1.8456 | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0017 | 1303.0 | 349204 | 1.8790 | {'f1': 0.8808757244043787} | {'accuracy': 0.822627037392138} |
| 0.0017 | 1304.0 | 349472 | 1.7898 | {'f1': 0.8794233289646134} | {'accuracy': 0.8235858101629914} |
| 0.0027 | 1305.0 | 349740 | 1.8166 | {'f1': 0.8830486202365309} | {'accuracy': 0.8293384467881112} |
| 0.0018 | 1306.0 | 350008 | 1.8170 | {'f1': 0.8830486202365309} | {'accuracy': 0.8293384467881112} |
| 0.0018 | 1307.0 | 350276 | 1.8507 | {'f1': 0.881201044386423} | {'accuracy': 0.825503355704698} |
| 0.0036 | 1308.0 | 350544 | 1.9425 | {'f1': 0.8775773195876289} | {'accuracy': 0.8178331735378715} |
| 0.0036 | 1309.0 | 350812 | 1.8448 | {'f1': 0.8805774278215224} | {'accuracy': 0.825503355704698} |
| 0.0042 | 1310.0 | 351080 | 1.9039 | {'f1': 0.8756476683937825} | {'accuracy': 0.8159156279961649} |
| 0.0042 | 1311.0 | 351348 | 1.9001 | {'f1': 0.875893437296946} | {'accuracy': 0.8168744007670182} |
| 0.0031 | 1312.0 | 351616 | 1.9099 | {'f1': 0.8771021992238034} | {'accuracy': 0.8178331735378715} |
| 0.0031 | 1313.0 | 351884 | 1.8716 | {'f1': 0.8779220779220779} | {'accuracy': 0.8197507190795782} |
| 0.0018 | 1314.0 | 352152 | 1.8785 | {'f1': 0.8773523685918235} | {'accuracy': 0.8187919463087249} |
| 0.0018 | 1315.0 | 352420 | 1.9126 | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.0031 | 1316.0 | 352688 | 1.8295 | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0031 | 1317.0 | 352956 | 1.9206 | {'f1': 0.8804627249357326} | {'accuracy': 0.8216682646212847} |
| 0.0032 | 1318.0 | 353224 | 1.9275 | {'f1': 0.8806161745827985} | {'accuracy': 0.8216682646212847} |
| 0.0032 | 1319.0 | 353492 | 1.8038 | {'f1': 0.878334417696812} | {'accuracy': 0.8207094918504314} |
| 0.0019 | 1320.0 | 353760 | 1.8142 | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.004 | 1321.0 | 354028 | 1.8275 | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.004 | 1322.0 | 354296 | 1.8953 | {'f1': 0.8789644012944984} | {'accuracy': 0.8207094918504314} |
| 0.0021 | 1323.0 | 354564 | 1.8318 | {'f1': 0.8796356538711776} | {'accuracy': 0.822627037392138} |
| 0.0021 | 1324.0 | 354832 | 1.9247 | {'f1': 0.8803088803088803} | {'accuracy': 0.8216682646212847} |
| 0.0027 | 1325.0 | 355100 | 2.0419 | {'f1': 0.875875238701464} | {'accuracy': 0.8130393096836049} |
| 0.0027 | 1326.0 | 355368 | 1.9456 | {'f1': 0.8768536428110896} | {'accuracy': 0.8168744007670182} |
| 0.0026 | 1327.0 | 355636 | 1.9208 | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.0026 | 1328.0 | 355904 | 1.9859 | {'f1': 0.8802049967969251} | {'accuracy': 0.8207094918504314} |
| 0.0027 | 1329.0 | 356172 | 1.8404 | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.0027 | 1330.0 | 356440 | 1.7770 | {'f1': 0.88} | {'accuracy': 0.8245445829338447} |
| 0.0052 | 1331.0 | 356708 | 1.9164 | {'f1': 0.8790218790218791} | {'accuracy': 0.8197507190795782} |
| 0.0052 | 1332.0 | 356976 | 1.8822 | {'f1': 0.8812903225806452} | {'accuracy': 0.8235858101629914} |
| 0.0035 | 1333.0 | 357244 | 1.8591 | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138} |
| 0.003 | 1334.0 | 357512 | 1.7935 | {'f1': 0.8816219751471549} | {'accuracy': 0.8264621284755513} |
| 0.003 | 1335.0 | 357780 | 1.8387 | {'f1': 0.8810916179337233} | {'accuracy': 0.8245445829338447} |
| 0.0037 | 1336.0 | 358048 | 1.9405 | {'f1': 0.879177377892031} | {'accuracy': 0.8197507190795782} |
| 0.0037 | 1337.0 | 358316 | 1.8556 | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0036 | 1338.0 | 358584 | 1.9032 | {'f1': 0.8780487804878049} | {'accuracy': 0.8178331735378715} |
| 0.0036 | 1339.0 | 358852 | 1.8323 | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698} |
| 0.0033 | 1340.0 | 359120 | 1.8037 | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.0033 | 1341.0 | 359388 | 1.8194 | {'f1': 0.8776699029126214} | {'accuracy': 0.8187919463087249} |
| 0.0029 | 1342.0 | 359656 | 1.7335 | {'f1': 0.8809993425378042} | {'accuracy': 0.8264621284755513} |
| 0.0029 | 1343.0 | 359924 | 1.7807 | {'f1': 0.8821989528795812} | {'accuracy': 0.8274209012464045} |
| 0.0021 | 1344.0 | 360192 | 1.9215 | {'f1': 0.8773281952472703} | {'accuracy': 0.8168744007670182} |
| 0.0021 | 1345.0 | 360460 | 1.8503 | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.0024 | 1346.0 | 360728 | 1.8224 | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138} |
| 0.0024 | 1347.0 | 360996 | 1.7595 | {'f1': 0.88} | {'accuracy': 0.8245445829338447} |
| 0.003 | 1348.0 | 361264 | 1.8025 | {'f1': 0.8797385620915033} | {'accuracy': 0.8235858101629914} |
| 0.0022 | 1349.0 | 361532 | 1.9341 | {'f1': 0.8787684413085312} | {'accuracy': 0.8187919463087249} |
| 0.0022 | 1350.0 | 361800 | 1.8708 | {'f1': 0.877284595300261} | {'accuracy': 0.8197507190795782} |
| 0.0017 | 1351.0 | 362068 | 1.8931 | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.0017 | 1352.0 | 362336 | 1.9393 | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0036 | 1353.0 | 362604 | 1.9224 | {'f1': 0.8772609819121446} | {'accuracy': 0.8178331735378715} |
| 0.0036 | 1354.0 | 362872 | 1.7791 | {'f1': 0.8815354070152218} | {'accuracy': 0.8283796740172579} |
| 0.0028 | 1355.0 | 363140 | 1.9070 | {'f1': 0.8775113415424498} | {'accuracy': 0.8187919463087249} |
| 0.0028 | 1356.0 | 363408 | 1.8885 | {'f1': 0.8776699029126214} | {'accuracy': 0.8187919463087249} |
| 0.0038 | 1357.0 | 363676 | 1.8156 | {'f1': 0.8807339449541284} | {'accuracy': 0.825503355704698} |
| 0.0038 | 1358.0 | 363944 | 1.8661 | {'f1': 0.8768729641693811} | {'accuracy': 0.8187919463087249} |
| 0.0017 | 1359.0 | 364212 | 1.8853 | {'f1': 0.8773523685918235} | {'accuracy': 0.8187919463087249} |
| 0.0017 | 1360.0 | 364480 | 1.9505 | {'f1': 0.8766066838046273} | {'accuracy': 0.8159156279961649} |
| 0.0021 | 1361.0 | 364748 | 2.0340 | {'f1': 0.8753180661577609} | {'accuracy': 0.8120805369127517} |
| 0.0036 | 1362.0 | 365016 | 1.8009 | {'f1': 0.8796844181459565} | {'accuracy': 0.8245445829338447} |
| 0.0036 | 1363.0 | 365284 | 1.8448 | {'f1': 0.8780169602087411} | {'accuracy': 0.8207094918504314} |
| 0.0026 | 1364.0 | 365552 | 1.8538 | {'f1': 0.877444589308996} | {'accuracy': 0.8197507190795782} |
| 0.0026 | 1365.0 | 365820 | 2.0301 | {'f1': 0.8741214057507987} | {'accuracy': 0.8111217641418984} |
| 0.0023 | 1366.0 | 366088 | 1.9828 | {'f1': 0.8766066838046273} | {'accuracy': 0.8159156279961649} |
| 0.0023 | 1367.0 | 366356 | 1.9144 | {'f1': 0.8788075178224238} | {'accuracy': 0.8207094918504314} |
| 0.0023 | 1368.0 | 366624 | 1.8790 | {'f1': 0.8804702808621816} | {'accuracy': 0.8245445829338447} |
| 0.0023 | 1369.0 | 366892 | 1.8129 | {'f1': 0.8834759710335748} | {'accuracy': 0.8302972195589645} |
| 0.0045 | 1370.0 | 367160 | 1.8688 | {'f1': 0.8813559322033898} | {'accuracy': 0.825503355704698} |
| 0.0045 | 1371.0 | 367428 | 1.8836 | {'f1': 0.8767123287671234} | {'accuracy': 0.8187919463087249} |
| 0.0024 | 1372.0 | 367696 | 1.8520 | {'f1': 0.8792650918635171} | {'accuracy': 0.8235858101629914} |
| 0.0024 | 1373.0 | 367964 | 1.8999 | {'f1': 0.8763020833333333} | {'accuracy': 0.8178331735378715} |
| 0.0029 | 1374.0 | 368232 | 2.0409 | {'f1': 0.8785166240409207} | {'accuracy': 0.8178331735378715} |
| 0.0023 | 1375.0 | 368500 | 1.9475 | {'f1': 0.880103694102398} | {'accuracy': 0.822627037392138} |
| 0.0023 | 1376.0 | 368768 | 1.9547 | {'f1': 0.8778280542986426} | {'accuracy': 0.8187919463087249} |
| 0.0053 | 1377.0 | 369036 | 1.8370 | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0053 | 1378.0 | 369304 | 1.9567 | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0019 | 1379.0 | 369572 | 2.0041 | {'f1': 0.8743589743589745} | {'accuracy': 0.8120805369127517} |
| 0.0019 | 1380.0 | 369840 | 1.9010 | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0022 | 1381.0 | 370108 | 2.0259 | {'f1': 0.8735632183908045} | {'accuracy': 0.8101629913710451} |
| 0.0022 | 1382.0 | 370376 | 1.9936 | {'f1': 0.8752399232245682} | {'accuracy': 0.8130393096836049} |
| 0.003 | 1383.0 | 370644 | 1.8355 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.003 | 1384.0 | 370912 | 1.8461 | {'f1': 0.8832354859752121} | {'accuracy': 0.8283796740172579} |
| 0.0026 | 1385.0 | 371180 | 1.8445 | {'f1': 0.8819308545335943} | {'accuracy': 0.8264621284755513} |
| 0.0026 | 1386.0 | 371448 | 1.8037 | {'f1': 0.8776041666666666} | {'accuracy': 0.8197507190795782} |
| 0.0061 | 1387.0 | 371716 | 1.8179 | {'f1': 0.8770331815224464} | {'accuracy': 0.8187919463087249} |
| 0.0061 | 1388.0 | 371984 | 1.8260 | {'f1': 0.8792207792207791} | {'accuracy': 0.8216682646212847} |
| 0.0032 | 1389.0 | 372252 | 1.8579 | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0025 | 1390.0 | 372520 | 1.8008 | {'f1': 0.8806262230919765} | {'accuracy': 0.8245445829338447} |
| 0.0025 | 1391.0 | 372788 | 1.8212 | {'f1': 0.881399870382372} | {'accuracy': 0.8245445829338447} |
| 0.0036 | 1392.0 | 373056 | 1.8121 | {'f1': 0.8779220779220779} | {'accuracy': 0.8197507190795782} |
| 0.0036 | 1393.0 | 373324 | 1.8379 | {'f1': 0.8793774319066148} | {'accuracy': 0.8216682646212847} |
| 0.0033 | 1394.0 | 373592 | 1.9010 | {'f1': 0.8773281952472703} | {'accuracy': 0.8168744007670182} |
| 0.0033 | 1395.0 | 373860 | 1.8129 | {'f1': 0.8788075178224238} | {'accuracy': 0.8207094918504314} |
| 0.0022 | 1396.0 | 374128 | 1.7556 | {'f1': 0.8772160210111623} | {'accuracy': 0.8207094918504314} |
| 0.0022 | 1397.0 | 374396 | 1.7995 | {'f1': 0.8800521512385918} | {'accuracy': 0.8235858101629914} |
| 0.0025 | 1398.0 | 374664 | 1.8804 | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0025 | 1399.0 | 374932 | 1.9120 | {'f1': 0.8773281952472703} | {'accuracy': 0.8168744007670182} |
| 0.0022 | 1400.0 | 375200 | 1.9074 | {'f1': 0.8771704180064309} | {'accuracy': 0.8168744007670182} |
| 0.0022 | 1401.0 | 375468 | 1.9763 | {'f1': 0.8766773162939298} | {'accuracy': 0.8149568552253116} |
| 0.0028 | 1402.0 | 375736 | 1.8266 | {'f1': 0.8825065274151437} | {'accuracy': 0.8274209012464045} |
| 0.0021 | 1403.0 | 376004 | 1.8277 | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0021 | 1404.0 | 376272 | 1.8651 | {'f1': 0.8845654993514916} | {'accuracy': 0.8293384467881112} |
| 0.0023 | 1405.0 | 376540 | 1.8384 | {'f1': 0.8841145833333333} | {'accuracy': 0.8293384467881112} |
| 0.0023 | 1406.0 | 376808 | 1.9099 | {'f1': 0.880722114764668} | {'accuracy': 0.822627037392138} |
| 0.0022 | 1407.0 | 377076 | 1.8257 | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0022 | 1408.0 | 377344 | 1.8393 | {'f1': 0.8839634941329856} | {'accuracy': 0.8293384467881112} |
| 0.0021 | 1409.0 | 377612 | 1.7979 | {'f1': 0.8829300196206671} | {'accuracy': 0.8283796740172579} |
| 0.0021 | 1410.0 | 377880 | 1.8133 | {'f1': 0.8862745098039215} | {'accuracy': 0.8331735378715245} |
| 0.0025 | 1411.0 | 378148 | 1.8180 | {'f1': 0.8864229765013055} | {'accuracy': 0.8331735378715245} |
| 0.0025 | 1412.0 | 378416 | 1.7902 | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.0038 | 1413.0 | 378684 | 1.8083 | {'f1': 0.8835393623942747} | {'accuracy': 0.8283796740172579} |
| 0.0038 | 1414.0 | 378952 | 1.8757 | {'f1': 0.8837209302325582} | {'accuracy': 0.8274209012464045} |
| 0.0031 | 1415.0 | 379220 | 1.8037 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0031 | 1416.0 | 379488 | 1.7432 | {'f1': 0.8826229508196721} | {'accuracy': 0.8283796740172579} |
| 0.0028 | 1417.0 | 379756 | 1.7664 | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.0033 | 1418.0 | 380024 | 1.7910 | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.0033 | 1419.0 | 380292 | 1.7409 | {'f1': 0.8826229508196721} | {'accuracy': 0.8283796740172579} |
| 0.0034 | 1420.0 | 380560 | 1.7610 | {'f1': 0.8861256544502618} | {'accuracy': 0.8331735378715245} |
| 0.0034 | 1421.0 | 380828 | 1.7375 | {'f1': 0.8826229508196721} | {'accuracy': 0.8283796740172579} |
| 0.0028 | 1422.0 | 381096 | 1.7903 | {'f1': 0.8873056994818653} | {'accuracy': 0.8331735378715245} |
| 0.0028 | 1423.0 | 381364 | 1.7747 | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0022 | 1424.0 | 381632 | 1.8402 | {'f1': 0.8842921784098255} | {'accuracy': 0.8283796740172579} |
| 0.0022 | 1425.0 | 381900 | 1.8666 | {'f1': 0.8838709677419355} | {'accuracy': 0.8274209012464045} |
| 0.0022 | 1426.0 | 382168 | 1.8150 | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.0022 | 1427.0 | 382436 | 1.7601 | {'f1': 0.8826229508196721} | {'accuracy': 0.8283796740172579} |
| 0.0046 | 1428.0 | 382704 | 1.7706 | {'f1': 0.8829300196206671} | {'accuracy': 0.8283796740172579} |
| 0.0046 | 1429.0 | 382972 | 1.7924 | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.003 | 1430.0 | 383240 | 1.7873 | {'f1': 0.88296488946684} | {'accuracy': 0.8274209012464045} |
| 0.0034 | 1431.0 | 383508 | 1.7461 | {'f1': 0.8817766165904638} | {'accuracy': 0.8264621284755513} |
| 0.0034 | 1432.0 | 383776 | 1.7214 | {'f1': 0.8837820091923834} | {'accuracy': 0.8302972195589645} |
| 0.0036 | 1433.0 | 384044 | 1.8815 | {'f1': 0.8797427652733119} | {'accuracy': 0.8207094918504314} |
| 0.0036 | 1434.0 | 384312 | 1.8720 | {'f1': 0.8801546391752577} | {'accuracy': 0.8216682646212847} |
| 0.0023 | 1435.0 | 384580 | 1.8030 | {'f1': 0.88296488946684} | {'accuracy': 0.8274209012464045} |
| 0.0023 | 1436.0 | 384848 | 1.7756 | {'f1': 0.8856956237753103} | {'accuracy': 0.8322147651006712} |
| 0.0016 | 1437.0 | 385116 | 1.7079 | {'f1': 0.882392026578073} | {'accuracy': 0.8302972195589645} |
| 0.0016 | 1438.0 | 385384 | 1.7674 | {'f1': 0.8840864440078585} | {'accuracy': 0.8302972195589645} |
| 0.0029 | 1439.0 | 385652 | 1.7752 | {'f1': 0.8833551769331585} | {'accuracy': 0.8293384467881112} |
| 0.0029 | 1440.0 | 385920 | 1.8759 | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0022 | 1441.0 | 386188 | 1.9013 | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0022 | 1442.0 | 386456 | 1.8416 | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.0036 | 1443.0 | 386724 | 2.0045 | {'f1': 0.8775510204081634} | {'accuracy': 0.8159156279961649} |
| 0.0036 | 1444.0 | 386992 | 1.9100 | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.0038 | 1445.0 | 387260 | 1.9557 | {'f1': 0.8810289389067525} | {'accuracy': 0.822627037392138} |
| 0.0021 | 1446.0 | 387528 | 1.9332 | {'f1': 0.8775773195876289} | {'accuracy': 0.8178331735378715} |
| 0.0021 | 1447.0 | 387796 | 1.8294 | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0051 | 1448.0 | 388064 | 1.8972 | {'f1': 0.8795878943979395} | {'accuracy': 0.8207094918504314} |
| 0.0051 | 1449.0 | 388332 | 1.9577 | {'f1': 0.8783610755441742} | {'accuracy': 0.8178331735378715} |
| 0.0029 | 1450.0 | 388600 | 1.9377 | {'f1': 0.8774855676715844} | {'accuracy': 0.8168744007670182} |
| 0.0029 | 1451.0 | 388868 | 1.9176 | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.002 | 1452.0 | 389136 | 1.9199 | {'f1': 0.8790218790218791} | {'accuracy': 0.8197507190795782} |
| 0.002 | 1453.0 | 389404 | 1.9482 | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.0021 | 1454.0 | 389672 | 1.8220 | {'f1': 0.877444589308996} | {'accuracy': 0.8197507190795782} |
| 0.0021 | 1455.0 | 389940 | 1.9230 | {'f1': 0.8795878943979395} | {'accuracy': 0.8207094918504314} |
| 0.004 | 1456.0 | 390208 | 1.8703 | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.004 | 1457.0 | 390476 | 1.8204 | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.002 | 1458.0 | 390744 | 1.7846 | {'f1': 0.8806262230919765} | {'accuracy': 0.8245445829338447} |
| 0.0037 | 1459.0 | 391012 | 1.8871 | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.0037 | 1460.0 | 391280 | 1.8799 | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138} |
| 0.0023 | 1461.0 | 391548 | 1.8332 | {'f1': 0.880674448767834} | {'accuracy': 0.8235858101629914} |
| 0.0023 | 1462.0 | 391816 | 1.8753 | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0021 | 1463.0 | 392084 | 1.9466 | {'f1': 0.8801546391752577} | {'accuracy': 0.8216682646212847} |
| 0.0021 | 1464.0 | 392352 | 2.0415 | {'f1': 0.8757170172084129} | {'accuracy': 0.8130393096836049} |
| 0.002 | 1465.0 | 392620 | 2.0344 | {'f1': 0.876117496807152} | {'accuracy': 0.8139980824544583} |
| 0.002 | 1466.0 | 392888 | 1.9655 | {'f1': 0.8786127167630058} | {'accuracy': 0.8187919463087249} |
| 0.002 | 1467.0 | 393156 | 1.8911 | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.002 | 1468.0 | 393424 | 1.8612 | {'f1': 0.8790637191157347} | {'accuracy': 0.8216682646212847} |
| 0.0023 | 1469.0 | 393692 | 1.9963 | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.0023 | 1470.0 | 393960 | 1.9838 | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0023 | 1471.0 | 394228 | 1.8686 | {'f1': 0.8795811518324608} | {'accuracy': 0.8235858101629914} |
| 0.0023 | 1472.0 | 394496 | 1.9247 | {'f1': 0.8785529715762274} | {'accuracy': 0.8197507190795782} |
| 0.0026 | 1473.0 | 394764 | 1.9669 | {'f1': 0.8785529715762274} | {'accuracy': 0.8197507190795782} |
| 0.002 | 1474.0 | 395032 | 1.9622 | {'f1': 0.8785529715762274} | {'accuracy': 0.8197507190795782} |
| 0.002 | 1475.0 | 395300 | 1.9325 | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.0032 | 1476.0 | 395568 | 1.9709 | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0032 | 1477.0 | 395836 | 1.9660 | {'f1': 0.8785529715762274} | {'accuracy': 0.8197507190795782} |
| 0.0022 | 1478.0 | 396104 | 1.9600 | {'f1': 0.8785529715762274} | {'accuracy': 0.8197507190795782} |
| 0.0022 | 1479.0 | 396372 | 1.8900 | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138} |
| 0.0042 | 1480.0 | 396640 | 1.9664 | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0042 | 1481.0 | 396908 | 1.9763 | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.003 | 1482.0 | 397176 | 1.9680 | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.003 | 1483.0 | 397444 | 1.8329 | {'f1': 0.8808900523560209} | {'accuracy': 0.825503355704698} |
| 0.0019 | 1484.0 | 397712 | 1.9913 | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0019 | 1485.0 | 397980 | 1.9807 | {'f1': 0.8775773195876289} | {'accuracy': 0.8178331735378715} |
| 0.0021 | 1486.0 | 398248 | 1.9790 | {'f1': 0.8775773195876289} | {'accuracy': 0.8178331735378715} |
| 0.0025 | 1487.0 | 398516 | 1.9015 | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0025 | 1488.0 | 398784 | 1.9864 | {'f1': 0.8774193548387096} | {'accuracy': 0.8178331735378715} |
| 0.0019 | 1489.0 | 399052 | 1.8955 | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0019 | 1490.0 | 399320 | 2.0427 | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0024 | 1491.0 | 399588 | 2.0652 | {'f1': 0.876765083440308} | {'accuracy': 0.8159156279961649} |
| 0.0024 | 1492.0 | 399856 | 2.0662 | {'f1': 0.8762026940346376} | {'accuracy': 0.8149568552253116} |
| 0.0024 | 1493.0 | 400124 | 1.9887 | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.0024 | 1494.0 | 400392 | 1.9015 | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0017 | 1495.0 | 400660 | 1.8408 | {'f1': 0.8817345597897503} | {'accuracy': 0.8274209012464045} |
| 0.0017 | 1496.0 | 400928 | 1.9804 | {'f1': 0.8789644012944984} | {'accuracy': 0.8207094918504314} |
| 0.0029 | 1497.0 | 401196 | 1.9977 | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.0029 | 1498.0 | 401464 | 1.8782 | {'f1': 0.8840864440078585} | {'accuracy': 0.8302972195589645} |
| 0.0019 | 1499.0 | 401732 | 1.9155 | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.0022 | 1500.0 | 402000 | 1.9544 | {'f1': 0.880103694102398} | {'accuracy': 0.822627037392138} |
| 0.0022 | 1501.0 | 402268 | 1.9650 | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.0021 | 1502.0 | 402536 | 1.9610 | {'f1': 0.880103694102398} | {'accuracy': 0.822627037392138} |
| 0.0021 | 1503.0 | 402804 | 1.9514 | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138} |
| 0.0031 | 1504.0 | 403072 | 1.8767 | {'f1': 0.8802631578947369} | {'accuracy': 0.825503355704698} |
| 0.0031 | 1505.0 | 403340 | 1.9552 | {'f1': 0.8788075178224238} | {'accuracy': 0.8207094918504314} |
| 0.0019 | 1506.0 | 403608 | 1.9432 | {'f1': 0.8813559322033898} | {'accuracy': 0.825503355704698} |
| 0.0019 | 1507.0 | 403876 | 2.0299 | {'f1': 0.880722114764668} | {'accuracy': 0.822627037392138} |
| 0.0022 | 1508.0 | 404144 | 1.9508 | {'f1': 0.881664499349805} | {'accuracy': 0.825503355704698} |
| 0.0022 | 1509.0 | 404412 | 2.0056 | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.0023 | 1510.0 | 404680 | 1.9737 | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138} |
| 0.0023 | 1511.0 | 404948 | 1.9024 | {'f1': 0.8807817589576548} | {'accuracy': 0.8245445829338447} |
| 0.0019 | 1512.0 | 405216 | 1.9625 | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138} |
| 0.0019 | 1513.0 | 405484 | 1.8806 | {'f1': 0.8797385620915033} | {'accuracy': 0.8235858101629914} |
| 0.0028 | 1514.0 | 405752 | 1.9175 | {'f1': 0.88296488946684} | {'accuracy': 0.8274209012464045} |
| 0.0024 | 1515.0 | 406020 | 2.0019 | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138} |
| 0.0024 | 1516.0 | 406288 | 2.0095 | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138} |
| 0.0019 | 1517.0 | 406556 | 1.9970 | {'f1': 0.8811369509043928} | {'accuracy': 0.8235858101629914} |
| 0.0019 | 1518.0 | 406824 | 2.0271 | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.003 | 1519.0 | 407092 | 1.9790 | {'f1': 0.8817065287653523} | {'accuracy': 0.8245445829338447} |
| 0.003 | 1520.0 | 407360 | 1.9818 | {'f1': 0.8817065287653523} | {'accuracy': 0.8245445829338447} |
| 0.0017 | 1521.0 | 407628 | 1.8184 | {'f1': 0.8779840848806366} | {'accuracy': 0.8235858101629914} |
| 0.0017 | 1522.0 | 407896 | 2.0040 | {'f1': 0.8801546391752577} | {'accuracy': 0.8216682646212847} |
| 0.0021 | 1523.0 | 408164 | 2.0570 | {'f1': 0.8773281952472703} | {'accuracy': 0.8168744007670182} |
| 0.0021 | 1524.0 | 408432 | 2.0421 | {'f1': 0.8773281952472703} | {'accuracy': 0.8168744007670182} |
| 0.0025 | 1525.0 | 408700 | 1.9911 | {'f1': 0.8801546391752577} | {'accuracy': 0.8216682646212847} |
| 0.0025 | 1526.0 | 408968 | 1.9922 | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0021 | 1527.0 | 409236 | 2.0518 | {'f1': 0.8773281952472703} | {'accuracy': 0.8168744007670182} |
| 0.0029 | 1528.0 | 409504 | 1.9644 | {'f1': 0.880722114764668} | {'accuracy': 0.822627037392138} |
| 0.0029 | 1529.0 | 409772 | 1.9503 | {'f1': 0.880722114764668} | {'accuracy': 0.822627037392138} |
| 0.002 | 1530.0 | 410040 | 1.9427 | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138} |
| 0.002 | 1531.0 | 410308 | 2.0120 | {'f1': 0.8795878943979395} | {'accuracy': 0.8207094918504314} |
| 0.002 | 1532.0 | 410576 | 2.0290 | {'f1': 0.8795878943979395} | {'accuracy': 0.8207094918504314} |
| 0.002 | 1533.0 | 410844 | 2.0733 | {'f1': 0.8793324775353017} | {'accuracy': 0.8197507190795782} |
| 0.002 | 1534.0 | 411112 | 1.9427 | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.002 | 1535.0 | 411380 | 1.9818 | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138} |
| 0.0023 | 1536.0 | 411648 | 1.9344 | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698} |
| 0.0023 | 1537.0 | 411916 | 1.9396 | {'f1': 0.881399870382372} | {'accuracy': 0.8245445829338447} |
| 0.0034 | 1538.0 | 412184 | 2.0222 | {'f1': 0.8777348777348777} | {'accuracy': 0.8178331735378715} |
| 0.0034 | 1539.0 | 412452 | 1.9295 | {'f1': 0.8793774319066148} | {'accuracy': 0.8216682646212847} |
| 0.0027 | 1540.0 | 412720 | 1.9853 | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138} |
| 0.0027 | 1541.0 | 412988 | 1.9830 | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0019 | 1542.0 | 413256 | 1.9594 | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138} |
| 0.0022 | 1543.0 | 413524 | 1.8981 | {'f1': 0.8802083333333333} | {'accuracy': 0.8235858101629914} |
| 0.0022 | 1544.0 | 413792 | 1.9391 | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138} |
| 0.002 | 1545.0 | 414060 | 1.9500 | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138} |
| 0.002 | 1546.0 | 414328 | 2.0311 | {'f1': 0.8797427652733119} | {'accuracy': 0.8207094918504314} |
| 0.0041 | 1547.0 | 414596 | 2.0253 | {'f1': 0.8797427652733119} | {'accuracy': 0.8207094918504314} |
| 0.0041 | 1548.0 | 414864 | 2.0690 | {'f1': 0.8774855676715844} | {'accuracy': 0.8168744007670182} |
| 0.0047 | 1549.0 | 415132 | 1.9977 | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0047 | 1550.0 | 415400 | 1.9320 | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138} |
| 0.0019 | 1551.0 | 415668 | 1.9565 | {'f1': 0.8811369509043928} | {'accuracy': 0.8235858101629914} |
| 0.0019 | 1552.0 | 415936 | 1.8904 | {'f1': 0.8780169602087411} | {'accuracy': 0.8207094918504314} |
| 0.002 | 1553.0 | 416204 | 1.8294 | {'f1': 0.8796844181459565} | {'accuracy': 0.8245445829338447} |
| 0.002 | 1554.0 | 416472 | 1.9974 | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0038 | 1555.0 | 416740 | 1.9436 | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.0031 | 1556.0 | 417008 | 1.9326 | {'f1': 0.8792207792207791} | {'accuracy': 0.8216682646212847} |
| 0.0031 | 1557.0 | 417276 | 1.9437 | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138} |
| 0.0019 | 1558.0 | 417544 | 1.9625 | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138} |
| 0.0019 | 1559.0 | 417812 | 2.0105 | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.003 | 1560.0 | 418080 | 1.9443 | {'f1': 0.8796356538711776} | {'accuracy': 0.822627037392138} |
| 0.003 | 1561.0 | 418348 | 1.9249 | {'f1': 0.8787483702737942} | {'accuracy': 0.8216682646212847} |
| 0.0033 | 1562.0 | 418616 | 1.9537 | {'f1': 0.8796356538711776} | {'accuracy': 0.822627037392138} |
| 0.0033 | 1563.0 | 418884 | 2.0539 | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0024 | 1564.0 | 419152 | 2.0297 | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0024 | 1565.0 | 419420 | 2.0538 | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.0021 | 1566.0 | 419688 | 1.9807 | {'f1': 0.8771929824561404} | {'accuracy': 0.8187919463087249} |
| 0.0021 | 1567.0 | 419956 | 2.0284 | {'f1': 0.8789644012944984} | {'accuracy': 0.8207094918504314} |
| 0.0019 | 1568.0 | 420224 | 2.0183 | {'f1': 0.8778280542986426} | {'accuracy': 0.8187919463087249} |
| 0.0019 | 1569.0 | 420492 | 2.0209 | {'f1': 0.8778280542986426} | {'accuracy': 0.8187919463087249} |
| 0.0029 | 1570.0 | 420760 | 1.9751 | {'f1': 0.878334417696812} | {'accuracy': 0.8207094918504314} |
| 0.0034 | 1571.0 | 421028 | 1.9197 | {'f1': 0.8784313725490197} | {'accuracy': 0.8216682646212847} |
| 0.0034 | 1572.0 | 421296 | 1.9816 | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.0034 | 1573.0 | 421564 | 1.9681 | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.0034 | 1574.0 | 421832 | 2.1050 | {'f1': 0.8750800768737989} | {'accuracy': 0.8130393096836049} |
| 0.0015 | 1575.0 | 422100 | 1.9767 | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0015 | 1576.0 | 422368 | 1.9921 | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0024 | 1577.0 | 422636 | 2.0013 | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.0024 | 1578.0 | 422904 | 2.0375 | {'f1': 0.8790218790218791} | {'accuracy': 0.8197507190795782} |
| 0.0026 | 1579.0 | 423172 | 2.0354 | {'f1': 0.880722114764668} | {'accuracy': 0.822627037392138} |
| 0.0026 | 1580.0 | 423440 | 2.0641 | {'f1': 0.8786127167630058} | {'accuracy': 0.8187919463087249} |
| 0.0022 | 1581.0 | 423708 | 2.0531 | {'f1': 0.879177377892031} | {'accuracy': 0.8197507190795782} |
| 0.0022 | 1582.0 | 423976 | 1.9907 | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.0025 | 1583.0 | 424244 | 1.9915 | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.002 | 1584.0 | 424512 | 1.9894 | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.002 | 1585.0 | 424780 | 1.9783 | {'f1': 0.876943005181347} | {'accuracy': 0.8178331735378715} |
| 0.002 | 1586.0 | 425048 | 2.0742 | {'f1': 0.879177377892031} | {'accuracy': 0.8197507190795782} |
| 0.002 | 1587.0 | 425316 | 2.0048 | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.0017 | 1588.0 | 425584 | 1.9557 | {'f1': 0.8780169602087411} | {'accuracy': 0.8207094918504314} |
| 0.0017 | 1589.0 | 425852 | 1.9982 | {'f1': 0.8797920727745288} | {'accuracy': 0.822627037392138} |
| 0.0034 | 1590.0 | 426120 | 1.9458 | {'f1': 0.8759791122715405} | {'accuracy': 0.8178331735378715} |
| 0.0034 | 1591.0 | 426388 | 1.9808 | {'f1': 0.8796356538711776} | {'accuracy': 0.822627037392138} |
| 0.0021 | 1592.0 | 426656 | 2.0526 | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0021 | 1593.0 | 426924 | 2.0566 | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.0018 | 1594.0 | 427192 | 2.0762 | {'f1': 0.8781431334622825} | {'accuracy': 0.8187919463087249} |
| 0.0018 | 1595.0 | 427460 | 2.0954 | {'f1': 0.876765083440308} | {'accuracy': 0.8159156279961649} |
| 0.0021 | 1596.0 | 427728 | 1.9510 | {'f1': 0.8785900783289817} | {'accuracy': 0.8216682646212847} |
| 0.0021 | 1597.0 | 427996 | 2.0208 | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138} |
| 0.0043 | 1598.0 | 428264 | 2.0014 | {'f1': 0.8776699029126214} | {'accuracy': 0.8187919463087249} |
| 0.002 | 1599.0 | 428532 | 1.9976 | {'f1': 0.876943005181347} | {'accuracy': 0.8178331735378715} |
| 0.002 | 1600.0 | 428800 | 2.0042 | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.0022 | 1601.0 | 429068 | 2.0410 | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.0022 | 1602.0 | 429336 | 1.9819 | {'f1': 0.8779220779220779} | {'accuracy': 0.8197507190795782} |
| 0.0024 | 1603.0 | 429604 | 2.0285 | {'f1': 0.8781431334622825} | {'accuracy': 0.8187919463087249} |
| 0.0024 | 1604.0 | 429872 | 2.0291 | {'f1': 0.8781431334622825} | {'accuracy': 0.8187919463087249} |
| 0.0021 | 1605.0 | 430140 | 2.0928 | {'f1': 0.876765083440308} | {'accuracy': 0.8159156279961649} |
| 0.0021 | 1606.0 | 430408 | 2.0449 | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.0036 | 1607.0 | 430676 | 1.9584 | {'f1': 0.8768729641693811} | {'accuracy': 0.8187919463087249} |
| 0.0036 | 1608.0 | 430944 | 1.9609 | {'f1': 0.8776041666666666} | {'accuracy': 0.8197507190795782} |
| 0.0026 | 1609.0 | 431212 | 1.9620 | {'f1': 0.8776041666666666} | {'accuracy': 0.8197507190795782} |
| 0.0026 | 1610.0 | 431480 | 1.9969 | {'f1': 0.8779220779220779} | {'accuracy': 0.8197507190795782} |
| 0.0024 | 1611.0 | 431748 | 1.9967 | {'f1': 0.8779220779220779} | {'accuracy': 0.8197507190795782} |
| 0.0021 | 1612.0 | 432016 | 2.0796 | {'f1': 0.8790218790218791} | {'accuracy': 0.8197507190795782} |
| 0.0021 | 1613.0 | 432284 | 2.0727 | {'f1': 0.8795878943979395} | {'accuracy': 0.8207094918504314} |
| 0.0021 | 1614.0 | 432552 | 2.0023 | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138} |
| 0.0021 | 1615.0 | 432820 | 2.0401 | {'f1': 0.8789644012944984} | {'accuracy': 0.8207094918504314} |
| 0.0048 | 1616.0 | 433088 | 2.0088 | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138} |
| 0.0048 | 1617.0 | 433356 | 1.9605 | {'f1': 0.8784925276153347} | {'accuracy': 0.8207094918504314} |
| 0.0022 | 1618.0 | 433624 | 1.9041 | {'f1': 0.8762278978388998} | {'accuracy': 0.8187919463087249} |
| 0.0022 | 1619.0 | 433892 | 1.9567 | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0021 | 1620.0 | 434160 | 1.9671 | {'f1': 0.8797920727745288} | {'accuracy': 0.822627037392138} |
| 0.0021 | 1621.0 | 434428 | 2.0291 | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0021 | 1622.0 | 434696 | 2.0936 | {'f1': 0.8762026940346376} | {'accuracy': 0.8149568552253116} |
| 0.0021 | 1623.0 | 434964 | 2.0022 | {'f1': 0.8776699029126214} | {'accuracy': 0.8187919463087249} |
| 0.0021 | 1624.0 | 435232 | 2.0557 | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0021 | 1625.0 | 435500 | 2.0490 | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0021 | 1626.0 | 435768 | 2.0603 | {'f1': 0.8781431334622825} | {'accuracy': 0.8187919463087249} |
| 0.0021 | 1627.0 | 436036 | 2.0565 | {'f1': 0.8781431334622825} | {'accuracy': 0.8187919463087249} |
| 0.0021 | 1628.0 | 436304 | 1.9758 | {'f1': 0.8781758957654723} | {'accuracy': 0.8207094918504314} |
| 0.0027 | 1629.0 | 436572 | 2.0067 | {'f1': 0.8782383419689119} | {'accuracy': 0.8197507190795782} |
| 0.0027 | 1630.0 | 436840 | 2.0706 | {'f1': 0.8764478764478765} | {'accuracy': 0.8159156279961649} |
| 0.0018 | 1631.0 | 437108 | 2.0654 | {'f1': 0.8775773195876289} | {'accuracy': 0.8178331735378715} |
| 0.0018 | 1632.0 | 437376 | 2.0621 | {'f1': 0.8770122343850613} | {'accuracy': 0.8168744007670182} |
| 0.0019 | 1633.0 | 437644 | 1.9835 | {'f1': 0.877444589308996} | {'accuracy': 0.8197507190795782} |
| 0.0019 | 1634.0 | 437912 | 1.9852 | {'f1': 0.8787483702737942} | {'accuracy': 0.8216682646212847} |
| 0.0019 | 1635.0 | 438180 | 1.9865 | {'f1': 0.8794788273615636} | {'accuracy': 0.822627037392138} |
| 0.0019 | 1636.0 | 438448 | 1.9898 | {'f1': 0.87890625} | {'accuracy': 0.8216682646212847} |
| 0.0033 | 1637.0 | 438716 | 2.0490 | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.0033 | 1638.0 | 438984 | 2.0243 | {'f1': 0.8793774319066148} | {'accuracy': 0.8216682646212847} |
| 0.002 | 1639.0 | 439252 | 2.0249 | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138} |
| 0.0032 | 1640.0 | 439520 | 1.9412 | {'f1': 0.8784313725490197} | {'accuracy': 0.8216682646212847} |
| 0.0032 | 1641.0 | 439788 | 1.9130 | {'f1': 0.88} | {'accuracy': 0.8245445829338447} |
| 0.0026 | 1642.0 | 440056 | 1.9222 | {'f1': 0.8794233289646134} | {'accuracy': 0.8235858101629914} |
| 0.0026 | 1643.0 | 440324 | 1.9970 | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.0028 | 1644.0 | 440592 | 1.9347 | {'f1': 0.877124183006536} | {'accuracy': 0.8197507190795782} |
| 0.0028 | 1645.0 | 440860 | 1.9298 | {'f1': 0.877284595300261} | {'accuracy': 0.8197507190795782} |
| 0.0045 | 1646.0 | 441128 | 1.9475 | {'f1': 0.8781758957654723} | {'accuracy': 0.8207094918504314} |
| 0.0045 | 1647.0 | 441396 | 1.9559 | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0032 | 1648.0 | 441664 | 2.0192 | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138} |
| 0.0032 | 1649.0 | 441932 | 2.0021 | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.0023 | 1650.0 | 442200 | 1.9616 | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0023 | 1651.0 | 442468 | 1.9237 | {'f1': 0.8791639451338994} | {'accuracy': 0.822627037392138} |
| 0.0017 | 1652.0 | 442736 | 1.9250 | {'f1': 0.8791639451338994} | {'accuracy': 0.822627037392138} |
| 0.002 | 1653.0 | 443004 | 2.0168 | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.002 | 1654.0 | 443272 | 1.9849 | {'f1': 0.880103694102398} | {'accuracy': 0.822627037392138} |
| 0.0021 | 1655.0 | 443540 | 1.9718 | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0021 | 1656.0 | 443808 | 1.9765 | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0032 | 1657.0 | 444076 | 1.9330 | {'f1': 0.8797385620915033} | {'accuracy': 0.8235858101629914} |
| 0.0032 | 1658.0 | 444344 | 1.9345 | {'f1': 0.8791639451338994} | {'accuracy': 0.822627037392138} |
| 0.0021 | 1659.0 | 444612 | 1.9500 | {'f1': 0.8807817589576548} | {'accuracy': 0.8245445829338447} |
| 0.0021 | 1660.0 | 444880 | 1.9152 | {'f1': 0.8783694937541091} | {'accuracy': 0.822627037392138} |
| 0.0022 | 1661.0 | 445148 | 1.9548 | {'f1': 0.8790058862001309} | {'accuracy': 0.822627037392138} |
| 0.0022 | 1662.0 | 445416 | 1.9545 | {'f1': 0.8790058862001309} | {'accuracy': 0.822627037392138} |
| 0.0021 | 1663.0 | 445684 | 1.9817 | {'f1': 0.878334417696812} | {'accuracy': 0.8207094918504314} |
| 0.0021 | 1664.0 | 445952 | 2.0254 | {'f1': 0.8779857972885732} | {'accuracy': 0.8187919463087249} |
| 0.0019 | 1665.0 | 446220 | 2.0259 | {'f1': 0.8785529715762274} | {'accuracy': 0.8197507190795782} |
| 0.0019 | 1666.0 | 446488 | 2.0409 | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.0017 | 1667.0 | 446756 | 2.0387 | {'f1': 0.8779857972885732} | {'accuracy': 0.8187919463087249} |
| 0.0027 | 1668.0 | 447024 | 1.9986 | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0027 | 1669.0 | 447292 | 2.0057 | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0021 | 1670.0 | 447560 | 1.9701 | {'f1': 0.8790637191157347} | {'accuracy': 0.8216682646212847} |
| 0.0021 | 1671.0 | 447828 | 1.9939 | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.003 | 1672.0 | 448096 | 1.9974 | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.003 | 1673.0 | 448364 | 2.0041 | {'f1': 0.8811369509043928} | {'accuracy': 0.8235858101629914} |
| 0.0017 | 1674.0 | 448632 | 2.0174 | {'f1': 0.8801546391752577} | {'accuracy': 0.8216682646212847} |
| 0.0017 | 1675.0 | 448900 | 2.0108 | {'f1': 0.8814432989690721} | {'accuracy': 0.8235858101629914} |
| 0.0019 | 1676.0 | 449168 | 1.9803 | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138} |
| 0.0019 | 1677.0 | 449436 | 2.0062 | {'f1': 0.880722114764668} | {'accuracy': 0.822627037392138} |
| 0.0021 | 1678.0 | 449704 | 1.9986 | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0021 | 1679.0 | 449972 | 2.0141 | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0031 | 1680.0 | 450240 | 2.0039 | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138} |
| 0.0024 | 1681.0 | 450508 | 2.1084 | {'f1': 0.8782051282051283} | {'accuracy': 0.8178331735378715} |
| 0.0024 | 1682.0 | 450776 | 1.9954 | {'f1': 0.8801546391752577} | {'accuracy': 0.8216682646212847} |
| 0.0031 | 1683.0 | 451044 | 1.9495 | {'f1': 0.8781758957654723} | {'accuracy': 0.8207094918504314} |
| 0.0031 | 1684.0 | 451312 | 1.9179 | {'f1': 0.8773770491803279} | {'accuracy': 0.8207094918504314} |
| 0.0021 | 1685.0 | 451580 | 1.9332 | {'f1': 0.8790058862001309} | {'accuracy': 0.822627037392138} |
| 0.0021 | 1686.0 | 451848 | 1.9108 | {'f1': 0.8786885245901639} | {'accuracy': 0.822627037392138} |
| 0.0019 | 1687.0 | 452116 | 1.9095 | {'f1': 0.8792650918635171} | {'accuracy': 0.8235858101629914} |
| 0.0019 | 1688.0 | 452384 | 1.9508 | {'f1': 0.87890625} | {'accuracy': 0.8216682646212847} |
| 0.0024 | 1689.0 | 452652 | 1.9476 | {'f1': 0.8764629388816645} | {'accuracy': 0.8178331735378715} |
| 0.0024 | 1690.0 | 452920 | 1.9619 | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.0032 | 1691.0 | 453188 | 1.9616 | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.0032 | 1692.0 | 453456 | 2.0316 | {'f1': 0.8795878943979395} | {'accuracy': 0.8207094918504314} |
| 0.0019 | 1693.0 | 453724 | 2.0270 | {'f1': 0.8795878943979395} | {'accuracy': 0.8207094918504314} |
| 0.0019 | 1694.0 | 453992 | 2.0054 | {'f1': 0.8785529715762274} | {'accuracy': 0.8197507190795782} |
| 0.0027 | 1695.0 | 454260 | 1.9698 | {'f1': 0.8779220779220779} | {'accuracy': 0.8197507190795782} |
| 0.0021 | 1696.0 | 454528 | 2.0272 | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.0021 | 1697.0 | 454796 | 2.0308 | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.0019 | 1698.0 | 455064 | 1.9836 | {'f1': 0.880103694102398} | {'accuracy': 0.822627037392138} |
| 0.0019 | 1699.0 | 455332 | 1.9901 | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.0021 | 1700.0 | 455600 | 1.9960 | {'f1': 0.8789644012944984} | {'accuracy': 0.8207094918504314} |
| 0.0021 | 1701.0 | 455868 | 1.9740 | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698} |
| 0.0019 | 1702.0 | 456136 | 1.9996 | {'f1': 0.880103694102398} | {'accuracy': 0.822627037392138} |
| 0.0019 | 1703.0 | 456404 | 2.0399 | {'f1': 0.8801546391752577} | {'accuracy': 0.8216682646212847} |
| 0.0021 | 1704.0 | 456672 | 2.0247 | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.0021 | 1705.0 | 456940 | 2.0271 | {'f1': 0.8789644012944984} | {'accuracy': 0.8207094918504314} |
| 0.0018 | 1706.0 | 457208 | 1.9853 | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.0018 | 1707.0 | 457476 | 1.9886 | {'f1': 0.8810916179337233} | {'accuracy': 0.8245445829338447} |
| 0.0021 | 1708.0 | 457744 | 1.9602 | {'f1': 0.8813559322033898} | {'accuracy': 0.825503355704698} |
| 0.0019 | 1709.0 | 458012 | 1.9544 | {'f1': 0.8813559322033898} | {'accuracy': 0.825503355704698} |
| 0.0019 | 1710.0 | 458280 | 1.9539 | {'f1': 0.8819308545335943} | {'accuracy': 0.8264621284755513} |
| 0.0021 | 1711.0 | 458548 | 2.0223 | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.0021 | 1712.0 | 458816 | 1.9886 | {'f1': 0.880674448767834} | {'accuracy': 0.8235858101629914} |
| 0.0033 | 1713.0 | 459084 | 1.9445 | {'f1': 0.8797385620915033} | {'accuracy': 0.8235858101629914} |
| 0.0033 | 1714.0 | 459352 | 1.9403 | {'f1': 0.8804702808621816} | {'accuracy': 0.8245445829338447} |
| 0.0027 | 1715.0 | 459620 | 2.0117 | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0027 | 1716.0 | 459888 | 2.0233 | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0027 | 1717.0 | 460156 | 1.9562 | {'f1': 0.8815104166666666} | {'accuracy': 0.825503355704698} |
| 0.0027 | 1718.0 | 460424 | 1.9585 | {'f1': 0.8802083333333333} | {'accuracy': 0.8235858101629914} |
| 0.0022 | 1719.0 | 460692 | 1.9864 | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.0022 | 1720.0 | 460960 | 1.9721 | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0018 | 1721.0 | 461228 | 2.0007 | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.0018 | 1722.0 | 461496 | 1.9618 | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0022 | 1723.0 | 461764 | 1.9728 | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.002 | 1724.0 | 462032 | 1.9706 | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.002 | 1725.0 | 462300 | 1.9698 | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0019 | 1726.0 | 462568 | 1.9539 | {'f1': 0.8832354859752121} | {'accuracy': 0.8283796740172579} |
| 0.0019 | 1727.0 | 462836 | 2.0049 | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698} |
| 0.0019 | 1728.0 | 463104 | 2.0003 | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698} |
| 0.0019 | 1729.0 | 463372 | 2.0091 | {'f1': 0.8822768434670116} | {'accuracy': 0.825503355704698} |
| 0.0039 | 1730.0 | 463640 | 1.9588 | {'f1': 0.8815104166666666} | {'accuracy': 0.825503355704698} |
| 0.0039 | 1731.0 | 463908 | 1.9552 | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.002 | 1732.0 | 464176 | 1.9933 | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.002 | 1733.0 | 464444 | 2.0378 | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.002 | 1734.0 | 464712 | 2.0415 | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.002 | 1735.0 | 464980 | 2.0328 | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.0019 | 1736.0 | 465248 | 1.9991 | {'f1': 0.880674448767834} | {'accuracy': 0.8235858101629914} |
| 0.0029 | 1737.0 | 465516 | 2.0223 | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0029 | 1738.0 | 465784 | 2.0726 | {'f1': 0.8790218790218791} | {'accuracy': 0.8197507190795782} |
| 0.0023 | 1739.0 | 466052 | 2.0523 | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138} |
| 0.0023 | 1740.0 | 466320 | 2.0225 | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138} |
| 0.002 | 1741.0 | 466588 | 2.0204 | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138} |
| 0.002 | 1742.0 | 466856 | 1.9813 | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0014 | 1743.0 | 467124 | 1.9750 | {'f1': 0.8819308545335943} | {'accuracy': 0.8264621284755513} |
| 0.0014 | 1744.0 | 467392 | 1.9779 | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0024 | 1745.0 | 467660 | 1.9680 | {'f1': 0.8825065274151437} | {'accuracy': 0.8274209012464045} |
| 0.0024 | 1746.0 | 467928 | 1.9249 | {'f1': 0.8839344262295081} | {'accuracy': 0.8302972195589645} |
| 0.0021 | 1747.0 | 468196 | 1.9469 | {'f1': 0.8829300196206671} | {'accuracy': 0.8283796740172579} |
| 0.0021 | 1748.0 | 468464 | 1.9667 | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0021 | 1749.0 | 468732 | 1.9682 | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.002 | 1750.0 | 469000 | 1.9667 | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.002 | 1751.0 | 469268 | 1.9721 | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.002 | 1752.0 | 469536 | 2.0361 | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.002 | 1753.0 | 469804 | 2.0442 | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0021 | 1754.0 | 470072 | 2.0030 | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0021 | 1755.0 | 470340 | 2.0167 | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.0017 | 1756.0 | 470608 | 1.9693 | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0017 | 1757.0 | 470876 | 1.9739 | {'f1': 0.8828125} | {'accuracy': 0.8274209012464045} |
| 0.0023 | 1758.0 | 471144 | 1.9872 | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.0023 | 1759.0 | 471412 | 2.0183 | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.0019 | 1760.0 | 471680 | 2.0030 | {'f1': 0.880103694102398} | {'accuracy': 0.822627037392138} |
| 0.0019 | 1761.0 | 471948 | 2.0636 | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0021 | 1762.0 | 472216 | 2.1016 | {'f1': 0.8798972382787411} | {'accuracy': 0.8207094918504314} |
| 0.0021 | 1763.0 | 472484 | 2.0775 | {'f1': 0.8782051282051283} | {'accuracy': 0.8178331735378715} |
| 0.0039 | 1764.0 | 472752 | 1.9883 | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698} |
| 0.002 | 1765.0 | 473020 | 1.9639 | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698} |
| 0.002 | 1766.0 | 473288 | 1.9799 | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0019 | 1767.0 | 473556 | 1.9869 | {'f1': 0.8832684824902725} | {'accuracy': 0.8274209012464045} |
| 0.0019 | 1768.0 | 473824 | 1.9858 | {'f1': 0.8832684824902725} | {'accuracy': 0.8274209012464045} |
| 0.0018 | 1769.0 | 474092 | 1.9433 | {'f1': 0.8813559322033898} | {'accuracy': 0.825503355704698} |
| 0.0018 | 1770.0 | 474360 | 1.9063 | {'f1': 0.8801571709233792} | {'accuracy': 0.8245445829338447} |
| 0.0028 | 1771.0 | 474628 | 1.8973 | {'f1': 0.8798424162836507} | {'accuracy': 0.8245445829338447} |
| 0.0028 | 1772.0 | 474896 | 1.9561 | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.0016 | 1773.0 | 475164 | 1.9640 | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.0016 | 1774.0 | 475432 | 1.9974 | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138} |
| 0.003 | 1775.0 | 475700 | 1.9990 | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138} |
| 0.003 | 1776.0 | 475968 | 2.0040 | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0018 | 1777.0 | 476236 | 2.0336 | {'f1': 0.8812903225806452} | {'accuracy': 0.8235858101629914} |
| 0.0029 | 1778.0 | 476504 | 1.9857 | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.0029 | 1779.0 | 476772 | 1.9554 | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0024 | 1780.0 | 477040 | 1.9510 | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0024 | 1781.0 | 477308 | 1.9656 | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0019 | 1782.0 | 477576 | 1.9907 | {'f1': 0.881399870382372} | {'accuracy': 0.8245445829338447} |
| 0.0019 | 1783.0 | 477844 | 1.9425 | {'f1': 0.881664499349805} | {'accuracy': 0.825503355704698} |
| 0.0022 | 1784.0 | 478112 | 1.9485 | {'f1': 0.881664499349805} | {'accuracy': 0.825503355704698} |
| 0.0022 | 1785.0 | 478380 | 2.0082 | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0025 | 1786.0 | 478648 | 2.0048 | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0025 | 1787.0 | 478916 | 2.0057 | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0017 | 1788.0 | 479184 | 2.0108 | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0017 | 1789.0 | 479452 | 1.9722 | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0023 | 1790.0 | 479720 | 1.9860 | {'f1': 0.8786502271252432} | {'accuracy': 0.8207094918504314} |
| 0.0023 | 1791.0 | 479988 | 1.9450 | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0021 | 1792.0 | 480256 | 1.9234 | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.0024 | 1793.0 | 480524 | 1.9885 | {'f1': 0.8793774319066148} | {'accuracy': 0.8216682646212847} |
| 0.0024 | 1794.0 | 480792 | 2.0187 | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0026 | 1795.0 | 481060 | 2.0167 | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0026 | 1796.0 | 481328 | 1.9477 | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0033 | 1797.0 | 481596 | 2.0234 | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138} |
| 0.0033 | 1798.0 | 481864 | 2.0099 | {'f1': 0.880103694102398} | {'accuracy': 0.822627037392138} |
| 0.0019 | 1799.0 | 482132 | 2.0136 | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0019 | 1800.0 | 482400 | 2.0099 | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0022 | 1801.0 | 482668 | 2.0416 | {'f1': 0.8812903225806452} | {'accuracy': 0.8235858101629914} |
| 0.0022 | 1802.0 | 482936 | 2.0418 | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138} |
| 0.0018 | 1803.0 | 483204 | 2.0092 | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138} |
| 0.0018 | 1804.0 | 483472 | 1.9999 | {'f1': 0.880674448767834} | {'accuracy': 0.8235858101629914} |
| 0.0034 | 1805.0 | 483740 | 1.9820 | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138} |
| 0.0027 | 1806.0 | 484008 | 2.0102 | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138} |
| 0.0027 | 1807.0 | 484276 | 2.0109 | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138} |
| 0.0017 | 1808.0 | 484544 | 1.9808 | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.0017 | 1809.0 | 484812 | 1.9795 | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.0023 | 1810.0 | 485080 | 2.0041 | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138} |
| 0.0023 | 1811.0 | 485348 | 2.0001 | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138} |
| 0.0019 | 1812.0 | 485616 | 1.9729 | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.0019 | 1813.0 | 485884 | 1.9759 | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.0019 | 1814.0 | 486152 | 1.9839 | {'f1': 0.880674448767834} | {'accuracy': 0.8235858101629914} |
| 0.0019 | 1815.0 | 486420 | 2.0039 | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138} |
| 0.002 | 1816.0 | 486688 | 2.0100 | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138} |
| 0.002 | 1817.0 | 486956 | 2.0070 | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.0022 | 1818.0 | 487224 | 1.9989 | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0022 | 1819.0 | 487492 | 1.9896 | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698} |
| 0.0032 | 1820.0 | 487760 | 1.9890 | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698} |
| 0.0021 | 1821.0 | 488028 | 2.0286 | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0021 | 1822.0 | 488296 | 2.0204 | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0019 | 1823.0 | 488564 | 2.0185 | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0019 | 1824.0 | 488832 | 2.0001 | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0018 | 1825.0 | 489100 | 2.0339 | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138} |
| 0.0018 | 1826.0 | 489368 | 2.0006 | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698} |
| 0.0025 | 1827.0 | 489636 | 1.9745 | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0025 | 1828.0 | 489904 | 1.9466 | {'f1': 0.8828125} | {'accuracy': 0.8274209012464045} |
| 0.0021 | 1829.0 | 490172 | 1.9704 | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0021 | 1830.0 | 490440 | 2.0084 | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0028 | 1831.0 | 490708 | 2.0101 | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0028 | 1832.0 | 490976 | 1.9966 | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0021 | 1833.0 | 491244 | 2.0031 | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0019 | 1834.0 | 491512 | 2.0001 | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698} |
| 0.0019 | 1835.0 | 491780 | 1.9772 | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.0045 | 1836.0 | 492048 | 1.9755 | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0045 | 1837.0 | 492316 | 1.9708 | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0019 | 1838.0 | 492584 | 2.0081 | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0019 | 1839.0 | 492852 | 1.9689 | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0034 | 1840.0 | 493120 | 1.9561 | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0034 | 1841.0 | 493388 | 1.9518 | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698} |
| 0.0023 | 1842.0 | 493656 | 1.9374 | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0023 | 1843.0 | 493924 | 1.9212 | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.0021 | 1844.0 | 494192 | 1.8915 | {'f1': 0.8810457516339869} | {'accuracy': 0.825503355704698} |
| 0.0021 | 1845.0 | 494460 | 1.9087 | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.0023 | 1846.0 | 494728 | 1.9609 | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698} |
| 0.0023 | 1847.0 | 494996 | 1.9564 | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698} |
| 0.0018 | 1848.0 | 495264 | 1.9577 | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698} |
| 0.0019 | 1849.0 | 495532 | 1.9810 | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0019 | 1850.0 | 495800 | 1.9798 | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0019 | 1851.0 | 496068 | 2.0046 | {'f1': 0.881859264041317} | {'accuracy': 0.8245445829338447} |
| 0.0019 | 1852.0 | 496336 | 2.0246 | {'f1': 0.8808757244043787} | {'accuracy': 0.822627037392138} |
| 0.0023 | 1853.0 | 496604 | 2.0208 | {'f1': 0.8801546391752577} | {'accuracy': 0.8216682646212847} |
| 0.0023 | 1854.0 | 496872 | 1.9879 | {'f1': 0.8812903225806452} | {'accuracy': 0.8235858101629914} |
| 0.0022 | 1855.0 | 497140 | 1.9906 | {'f1': 0.8812903225806452} | {'accuracy': 0.8235858101629914} |
| 0.0022 | 1856.0 | 497408 | 1.9907 | {'f1': 0.8812903225806452} | {'accuracy': 0.8235858101629914} |
| 0.0026 | 1857.0 | 497676 | 1.8986 | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0026 | 1858.0 | 497944 | 1.8949 | {'f1': 0.881664499349805} | {'accuracy': 0.825503355704698} |
| 0.0025 | 1859.0 | 498212 | 1.9550 | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0025 | 1860.0 | 498480 | 1.9552 | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0025 | 1861.0 | 498748 | 1.9491 | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0033 | 1862.0 | 499016 | 1.9582 | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0033 | 1863.0 | 499284 | 1.9605 | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0021 | 1864.0 | 499552 | 1.9457 | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0021 | 1865.0 | 499820 | 1.9365 | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698} |
| 0.0019 | 1866.0 | 500088 | 1.9337 | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698} |
| 0.0019 | 1867.0 | 500356 | 1.9337 | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698} |
| 0.0019 | 1868.0 | 500624 | 1.9327 | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.0019 | 1869.0 | 500892 | 1.9365 | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698} |
| 0.0016 | 1870.0 | 501160 | 1.9517 | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0016 | 1871.0 | 501428 | 1.9568 | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698} |
| 0.0025 | 1872.0 | 501696 | 1.9511 | {'f1': 0.881399870382372} | {'accuracy': 0.8245445829338447} |
| 0.0025 | 1873.0 | 501964 | 1.9066 | {'f1': 0.881664499349805} | {'accuracy': 0.825503355704698} |
| 0.0023 | 1874.0 | 502232 | 1.9056 | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0019 | 1875.0 | 502500 | 1.9389 | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698} |
| 0.0019 | 1876.0 | 502768 | 1.9354 | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.002 | 1877.0 | 503036 | 1.9257 | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698} |
| 0.002 | 1878.0 | 503304 | 1.9272 | {'f1': 0.8810916179337233} | {'accuracy': 0.8245445829338447} |
| 0.0018 | 1879.0 | 503572 | 1.9285 | {'f1': 0.8810916179337233} | {'accuracy': 0.8245445829338447} |
| 0.0018 | 1880.0 | 503840 | 1.9573 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.0034 | 1881.0 | 504108 | 1.9556 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.0034 | 1882.0 | 504376 | 1.9502 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.0019 | 1883.0 | 504644 | 1.9365 | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0019 | 1884.0 | 504912 | 1.9341 | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698} |
| 0.0017 | 1885.0 | 505180 | 1.9545 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.0017 | 1886.0 | 505448 | 1.9482 | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.0021 | 1887.0 | 505716 | 1.9516 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.0021 | 1888.0 | 505984 | 1.9438 | {'f1': 0.8832684824902725} | {'accuracy': 0.8274209012464045} |
| 0.002 | 1889.0 | 506252 | 1.9651 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.0035 | 1890.0 | 506520 | 1.9918 | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0035 | 1891.0 | 506788 | 1.9925 | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0019 | 1892.0 | 507056 | 1.9481 | {'f1': 0.8845654993514916} | {'accuracy': 0.8293384467881112} |
| 0.0019 | 1893.0 | 507324 | 1.9592 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.002 | 1894.0 | 507592 | 1.9791 | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.002 | 1895.0 | 507860 | 1.9818 | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0021 | 1896.0 | 508128 | 1.9757 | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0021 | 1897.0 | 508396 | 1.9552 | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.0023 | 1898.0 | 508664 | 1.9737 | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0023 | 1899.0 | 508932 | 1.9732 | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.002 | 1900.0 | 509200 | 1.9746 | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.002 | 1901.0 | 509468 | 2.0016 | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698} |
| 0.0024 | 1902.0 | 509736 | 1.9770 | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0022 | 1903.0 | 510004 | 1.9833 | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0022 | 1904.0 | 510272 | 1.9662 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.0017 | 1905.0 | 510540 | 1.9616 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.0017 | 1906.0 | 510808 | 1.9634 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.002 | 1907.0 | 511076 | 1.9640 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.002 | 1908.0 | 511344 | 1.9662 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.0021 | 1909.0 | 511612 | 1.9679 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.0021 | 1910.0 | 511880 | 1.9680 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.002 | 1911.0 | 512148 | 1.9690 | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.002 | 1912.0 | 512416 | 1.9777 | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0036 | 1913.0 | 512684 | 1.9775 | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0036 | 1914.0 | 512952 | 1.9347 | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.0029 | 1915.0 | 513220 | 1.9436 | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.0029 | 1916.0 | 513488 | 1.9618 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0019 | 1917.0 | 513756 | 1.9630 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0021 | 1918.0 | 514024 | 1.9933 | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698} |
| 0.0021 | 1919.0 | 514292 | 1.9824 | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0017 | 1920.0 | 514560 | 1.9656 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0017 | 1921.0 | 514828 | 1.9802 | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0041 | 1922.0 | 515096 | 1.9709 | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0041 | 1923.0 | 515364 | 1.9563 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0021 | 1924.0 | 515632 | 1.9556 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0021 | 1925.0 | 515900 | 1.9548 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0017 | 1926.0 | 516168 | 1.9527 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0017 | 1927.0 | 516436 | 1.9575 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0021 | 1928.0 | 516704 | 1.9439 | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.0021 | 1929.0 | 516972 | 1.9415 | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.0021 | 1930.0 | 517240 | 1.9401 | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.0018 | 1931.0 | 517508 | 1.9406 | {'f1': 0.8845654993514916} | {'accuracy': 0.8293384467881112} |
| 0.0018 | 1932.0 | 517776 | 1.9508 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.0021 | 1933.0 | 518044 | 1.9535 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.0021 | 1934.0 | 518312 | 1.9495 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.0018 | 1935.0 | 518580 | 1.9455 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.0018 | 1936.0 | 518848 | 1.9666 | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0019 | 1937.0 | 519116 | 1.9686 | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0019 | 1938.0 | 519384 | 1.9693 | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0021 | 1939.0 | 519652 | 1.9632 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0021 | 1940.0 | 519920 | 1.9633 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0018 | 1941.0 | 520188 | 1.9692 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0018 | 1942.0 | 520456 | 1.9751 | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.002 | 1943.0 | 520724 | 1.9768 | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698} |
| 0.002 | 1944.0 | 520992 | 1.9763 | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698} |
| 0.0021 | 1945.0 | 521260 | 1.9726 | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0022 | 1946.0 | 521528 | 1.9834 | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698} |
| 0.0022 | 1947.0 | 521796 | 1.9917 | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698} |
| 0.0019 | 1948.0 | 522064 | 1.9913 | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698} |
| 0.0019 | 1949.0 | 522332 | 1.9781 | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698} |
| 0.0022 | 1950.0 | 522600 | 1.9762 | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698} |
| 0.0022 | 1951.0 | 522868 | 1.9805 | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698} |
| 0.0023 | 1952.0 | 523136 | 1.9652 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0023 | 1953.0 | 523404 | 1.9650 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0019 | 1954.0 | 523672 | 1.9649 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0019 | 1955.0 | 523940 | 1.9730 | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0034 | 1956.0 | 524208 | 1.9505 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0034 | 1957.0 | 524476 | 1.9502 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0029 | 1958.0 | 524744 | 1.9452 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0033 | 1959.0 | 525012 | 1.9537 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0033 | 1960.0 | 525280 | 1.9551 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.003 | 1961.0 | 525548 | 1.9494 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.003 | 1962.0 | 525816 | 1.9406 | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698} |
| 0.0026 | 1963.0 | 526084 | 1.9416 | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698} |
| 0.0026 | 1964.0 | 526352 | 1.9425 | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698} |
| 0.002 | 1965.0 | 526620 | 1.9504 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.002 | 1966.0 | 526888 | 1.9520 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0024 | 1967.0 | 527156 | 1.9529 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0024 | 1968.0 | 527424 | 1.9532 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0019 | 1969.0 | 527692 | 1.9529 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0019 | 1970.0 | 527960 | 1.9538 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0018 | 1971.0 | 528228 | 1.9578 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0018 | 1972.0 | 528496 | 1.9586 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0022 | 1973.0 | 528764 | 1.9620 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.002 | 1974.0 | 529032 | 1.9624 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.002 | 1975.0 | 529300 | 1.9620 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0019 | 1976.0 | 529568 | 1.9629 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0019 | 1977.0 | 529836 | 1.9637 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.002 | 1978.0 | 530104 | 1.9626 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.002 | 1979.0 | 530372 | 1.9617 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0018 | 1980.0 | 530640 | 1.9620 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0018 | 1981.0 | 530908 | 1.9636 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0021 | 1982.0 | 531176 | 1.9631 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0021 | 1983.0 | 531444 | 1.9630 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0021 | 1984.0 | 531712 | 1.9624 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0021 | 1985.0 | 531980 | 1.9632 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0019 | 1986.0 | 532248 | 1.9575 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.003 | 1987.0 | 532516 | 1.9568 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.003 | 1988.0 | 532784 | 1.9564 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0027 | 1989.0 | 533052 | 1.9600 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0027 | 1990.0 | 533320 | 1.9598 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0024 | 1991.0 | 533588 | 1.9588 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0024 | 1992.0 | 533856 | 1.9593 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0018 | 1993.0 | 534124 | 1.9598 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0018 | 1994.0 | 534392 | 1.9600 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0018 | 1995.0 | 534660 | 1.9601 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0018 | 1996.0 | 534928 | 1.9600 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0021 | 1997.0 | 535196 | 1.9603 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0021 | 1998.0 | 535464 | 1.9603 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.002 | 1999.0 | 535732 | 1.9610 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0025 | 2000.0 | 536000 | 1.9610 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
### Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
|