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bert-base-uncased-test_16_4276
kwwww/bert-base-uncased-test_16_4276
bert-base-uncased-test_16_4276 is a machine learning model from kwwww. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Updated Oct 16, 2023
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Oct 16, 2023
- Updated
- Oct 16, 2023
- SHA
- d02f746c
Datasets
Model card
From the Hugging Face model README
<!-- 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 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} |
The model card is truncated. Read the rest on Hugging Face.
- License
- apache-2.0
- Created
- Oct 16, 2023
- Updated
- Oct 16, 2023