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bert-base-uncased-test_16_5345

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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_5345
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_5345
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: 1.8214
- F1: {'f1': 0.8846905537459283}
- Accuracy: {'accuracy': 0.8302972195589645}
## 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 | 335 | 0.5804 | {'f1': 0.817717206132879} | {'accuracy': 0.6922339405560882} |
| 0.5859 | 2.0 | 670 | 0.4981 | {'f1': 0.8567870485678706} | {'accuracy': 0.7794822627037392} |
| 0.4977 | 3.0 | 1005 | 0.4943 | {'f1': 0.8609022556390977} | {'accuracy': 0.7871524448705657} |
| 0.4977 | 4.0 | 1340 | 0.4540 | {'f1': 0.8674388674388674} | {'accuracy': 0.8024928092042186} |
| 0.4561 | 5.0 | 1675 | 0.4592 | {'f1': 0.8654217643271088} | {'accuracy': 0.7996164908916586} |
| 0.4227 | 6.0 | 2010 | 0.4749 | {'f1': 0.8677316293929712} | {'accuracy': 0.8015340364333653} |
| 0.4227 | 7.0 | 2345 | 0.4778 | {'f1': 0.8720560152768938} | {'accuracy': 0.8072866730584851} |
| 0.3912 | 8.0 | 2680 | 0.4874 | {'f1': 0.8702770780856423} | {'accuracy': 0.8024928092042186} |
| 0.3832 | 9.0 | 3015 | 0.4636 | {'f1': 0.8751592356687897} | {'accuracy': 0.8120805369127517} |
| 0.3832 | 10.0 | 3350 | 0.4715 | {'f1': 0.873490146217419} | {'accuracy': 0.8092042186001918} |
| 0.3633 | 11.0 | 3685 | 0.4801 | {'f1': 0.8746835443037975} | {'accuracy': 0.8101629913710451} |
| 0.3534 | 12.0 | 4020 | 0.4806 | {'f1': 0.878017789072427} | {'accuracy': 0.8159156279961649} |
| 0.3534 | 13.0 | 4355 | 0.4538 | {'f1': 0.8782051282051283} | {'accuracy': 0.8178331735378715} |
| 0.3402 | 14.0 | 4690 | 0.5009 | {'f1': 0.8788265306122449} | {'accuracy': 0.8178331735378715} |
| 0.3127 | 15.0 | 5025 | 0.4424 | {'f1': 0.878334417696812} | {'accuracy': 0.8207094918504314} |
| 0.3127 | 16.0 | 5360 | 0.5587 | {'f1': 0.8708074534161491} | {'accuracy': 0.800575263662512} |
| 0.3066 | 17.0 | 5695 | 0.4430 | {'f1': 0.8855656697009102} | {'accuracy': 0.8312559923298178} |
| 0.3058 | 18.0 | 6030 | 0.4962 | {'f1': 0.8796414852752881} | {'accuracy': 0.8197507190795782} |
| 0.3058 | 19.0 | 6365 | 0.4779 | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.2785 | 20.0 | 6700 | 0.5235 | {'f1': 0.8757097791798107} | {'accuracy': 0.8111217641418984} |
| 0.276 | 21.0 | 7035 | 0.4725 | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.276 | 22.0 | 7370 | 0.4551 | {'f1': 0.8844884488448844} | {'accuracy': 0.8322147651006712} |
| 0.2638 | 23.0 | 7705 | 0.5246 | {'f1': 0.8878865979381444} | {'accuracy': 0.8331735378715245} |
| 0.256 | 24.0 | 8040 | 0.4898 | {'f1': 0.881859264041317} | {'accuracy': 0.8245445829338447} |
| 0.256 | 25.0 | 8375 | 0.5608 | {'f1': 0.87934301958307} | {'accuracy': 0.8168744007670182} |
| 0.2501 | 26.0 | 8710 | 0.5682 | {'f1': 0.8833967046894803} | {'accuracy': 0.8235858101629914} |
| 0.2409 | 27.0 | 9045 | 0.5014 | {'f1': 0.8786049631120054} | {'accuracy': 0.8264621284755513} |
| 0.2409 | 28.0 | 9380 | 0.6560 | {'f1': 0.8690254500310366} | {'accuracy': 0.7976989453499521} |
| 0.2274 | 29.0 | 9715 | 0.5556 | {'f1': 0.8865845755022683} | {'accuracy': 0.8322147651006712} |
| 0.2234 | 30.0 | 10050 | 0.5468 | {'f1': 0.8839285714285714} | {'accuracy': 0.825503355704698} |
| 0.2234 | 31.0 | 10385 | 0.5590 | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.2053 | 32.0 | 10720 | 0.6394 | {'f1': 0.8862047043865225} | {'accuracy': 0.8283796740172579} |
| 0.2051 | 33.0 | 11055 | 0.6475 | {'f1': 0.8800505050505051} | {'accuracy': 0.8178331735378715} |
| 0.2051 | 34.0 | 11390 | 0.5637 | {'f1': 0.8817345597897503} | {'accuracy': 0.8274209012464045} |
| 0.2003 | 35.0 | 11725 | 0.6592 | {'f1': 0.8809675366008912} | {'accuracy': 0.8207094918504314} |
| 0.1821 | 36.0 | 12060 | 0.6021 | {'f1': 0.8776699029126214} | {'accuracy': 0.8187919463087249} |
| 0.1821 | 37.0 | 12395 | 0.6652 | {'f1': 0.8798988621997472} | {'accuracy': 0.8178331735378715} |
| 0.1794 | 38.0 | 12730 | 0.6079 | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.1695 | 39.0 | 13065 | 0.6287 | {'f1': 0.884318766066838} | {'accuracy': 0.8274209012464045} |
| 0.1695 | 40.0 | 13400 | 0.6532 | {'f1': 0.8763897972531065} | {'accuracy': 0.8187919463087249} |
| 0.1709 | 41.0 | 13735 | 0.6844 | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.1664 | 42.0 | 14070 | 0.7902 | {'f1': 0.8758664146187776} | {'accuracy': 0.8111217641418984} |
| 0.1664 | 43.0 | 14405 | 0.7809 | {'f1': 0.8750784682988072} | {'accuracy': 0.8092042186001918} |
| 0.1658 | 44.0 | 14740 | 0.7418 | {'f1': 0.8796414852752881} | {'accuracy': 0.8197507190795782} |
| 0.1626 | 45.0 | 15075 | 0.7835 | {'f1': 0.8780795957043588} | {'accuracy': 0.8149568552253116} |
| 0.1626 | 46.0 | 15410 | 0.7832 | {'f1': 0.8727272727272727} | {'accuracy': 0.8053691275167785} |
| 0.1568 | 47.0 | 15745 | 0.8162 | {'f1': 0.8786346396965866} | {'accuracy': 0.8159156279961649} |
| 0.1435 | 48.0 | 16080 | 0.7792 | {'f1': 0.8787301587301588} | {'accuracy': 0.8168744007670182} |
| 0.1435 | 49.0 | 16415 | 0.7505 | {'f1': 0.8819308545335943} | {'accuracy': 0.8264621284755513} |
| 0.1422 | 50.0 | 16750 | 0.7400 | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138} |
| 0.1449 | 51.0 | 17085 | 0.8237 | {'f1': 0.876117496807152} | {'accuracy': 0.8139980824544583} |
| 0.1449 | 52.0 | 17420 | 0.7569 | {'f1': 0.8796844181459565} | {'accuracy': 0.8245445829338447} |
| 0.1312 | 53.0 | 17755 | 0.7673 | {'f1': 0.874251497005988} | {'accuracy': 0.8187919463087249} |
| 0.1376 | 54.0 | 18090 | 1.0797 | {'f1': 0.8718905472636816} | {'accuracy': 0.8024928092042186} |
| 0.1376 | 55.0 | 18425 | 0.8770 | {'f1': 0.8766233766233766} | {'accuracy': 0.8178331735378715} |
| 0.1205 | 56.0 | 18760 | 0.8752 | {'f1': 0.877642536835362} | {'accuracy': 0.8168744007670182} |
| 0.1277 | 57.0 | 19095 | 0.9854 | {'f1': 0.8763474952441344} | {'accuracy': 0.8130393096836049} |
| 0.1277 | 58.0 | 19430 | 0.8095 | {'f1': 0.8778576094056172} | {'accuracy': 0.8207094918504314} |
| 0.1274 | 59.0 | 19765 | 0.8494 | {'f1': 0.8825806451612904} | {'accuracy': 0.825503355704698} |
| 0.1161 | 60.0 | 20100 | 0.8805 | {'f1': 0.8752399232245682} | {'accuracy': 0.8130393096836049} |
| 0.1161 | 61.0 | 20435 | 0.8964 | {'f1': 0.87539531941809} | {'accuracy': 0.8111217641418984} |
| 0.1181 | 62.0 | 20770 | 0.8991 | {'f1': 0.8792207792207791} | {'accuracy': 0.8216682646212847} |
| 0.1039 | 63.0 | 21105 | 0.8565 | {'f1': 0.8776699029126214} | {'accuracy': 0.8187919463087249} |
| 0.1039 | 64.0 | 21440 | 0.8743 | {'f1': 0.8820512820512821} | {'accuracy': 0.8235858101629914} |
| 0.0966 | 65.0 | 21775 | 0.9298 | {'f1': 0.8802547770700637} | {'accuracy': 0.8197507190795782} |
| 0.1063 | 66.0 | 22110 | 0.9383 | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.1063 | 67.0 | 22445 | 0.9079 | {'f1': 0.8772609819121446} | {'accuracy': 0.8178331735378715} |
| 0.0979 | 68.0 | 22780 | 0.9178 | {'f1': 0.8773523685918235} | {'accuracy': 0.8187919463087249} |
| 0.1029 | 69.0 | 23115 | 0.8791 | {'f1': 0.8752449379490528} | {'accuracy': 0.8168744007670182} |
| 0.1029 | 70.0 | 23450 | 0.8901 | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.1026 | 71.0 | 23785 | 1.1163 | {'f1': 0.8715083798882682} | {'accuracy': 0.8015340364333653} |
| 0.0932 | 72.0 | 24120 | 1.0499 | {'f1': 0.8768161718256475} | {'accuracy': 0.8130393096836049} |
| 0.0932 | 73.0 | 24455 | 0.9786 | {'f1': 0.8854766474728086} | {'accuracy': 0.8283796740172579} |
| 0.0958 | 74.0 | 24790 | 0.9004 | {'f1': 0.8851828094932649} | {'accuracy': 0.8283796740172579} |
| 0.0897 | 75.0 | 25125 | 0.9874 | {'f1': 0.8834513844172568} | {'accuracy': 0.8264621284755513} |
| 0.0897 | 76.0 | 25460 | 0.9677 | {'f1': 0.8837209302325582} | {'accuracy': 0.8274209012464045} |
| 0.0933 | 77.0 | 25795 | 0.9813 | {'f1': 0.879177377892031} | {'accuracy': 0.8197507190795782} |
| 0.0938 | 78.0 | 26130 | 1.0899 | {'f1': 0.8772813089993707} | {'accuracy': 0.8130393096836049} |
| 0.0938 | 79.0 | 26465 | 0.9780 | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0849 | 80.0 | 26800 | 1.0851 | {'f1': 0.8781725888324874} | {'accuracy': 0.8159156279961649} |
| 0.0829 | 81.0 | 27135 | 0.9472 | {'f1': 0.8757396449704142} | {'accuracy': 0.8187919463087249} |
| 0.0829 | 82.0 | 27470 | 1.0028 | {'f1': 0.8785759694850604} | {'accuracy': 0.8168744007670182} |
| 0.0864 | 83.0 | 27805 | 0.9873 | {'f1': 0.8827674567584881} | {'accuracy': 0.8245445829338447} |
| 0.0787 | 84.0 | 28140 | 0.8788 | {'f1': 0.877454299255247} | {'accuracy': 0.8264621284755513} |
| 0.0787 | 85.0 | 28475 | 1.2001 | {'f1': 0.8715710723192021} | {'accuracy': 0.8024928092042186} |
| 0.0835 | 86.0 | 28810 | 0.9610 | {'f1': 0.8850129198966409} | {'accuracy': 0.8293384467881112} |
| 0.0721 | 87.0 | 29145 | 1.0461 | {'f1': 0.8811369509043928} | {'accuracy': 0.8235858101629914} |
| 0.0721 | 88.0 | 29480 | 1.0201 | {'f1': 0.8842921784098255} | {'accuracy': 0.8283796740172579} |
| 0.0745 | 89.0 | 29815 | 1.0696 | {'f1': 0.8803582853486884} | {'accuracy': 0.8207094918504314} |
| 0.0748 | 90.0 | 30150 | 1.0277 | {'f1': 0.8787483702737942} | {'accuracy': 0.8216682646212847} |
| 0.0748 | 91.0 | 30485 | 1.2406 | {'f1': 0.8743718592964824} | {'accuracy': 0.8082454458293384} |
| 0.0671 | 92.0 | 30820 | 1.0602 | {'f1': 0.8766066838046273} | {'accuracy': 0.8159156279961649} |
| 0.0668 | 93.0 | 31155 | 1.0274 | {'f1': 0.8751625487646294} | {'accuracy': 0.8159156279961649} |
| 0.0668 | 94.0 | 31490 | 1.0361 | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.069 | 95.0 | 31825 | 1.0801 | {'f1': 0.8785166240409207} | {'accuracy': 0.8178331735378715} |
| 0.0667 | 96.0 | 32160 | 1.0670 | {'f1': 0.8834513844172568} | {'accuracy': 0.8264621284755513} |
| 0.0667 | 97.0 | 32495 | 1.2035 | {'f1': 0.8811630847029078} | {'accuracy': 0.8197507190795782} |
| 0.0631 | 98.0 | 32830 | 1.0649 | {'f1': 0.8853299167200512} | {'accuracy': 0.8283796740172579} |
| 0.0749 | 99.0 | 33165 | 1.0805 | {'f1': 0.8837508028259474} | {'accuracy': 0.8264621284755513} |
| 0.0598 | 100.0 | 33500 | 1.1548 | {'f1': 0.8844415752098128} | {'accuracy': 0.8283796740172579} |
| 0.0598 | 101.0 | 33835 | 1.1832 | {'f1': 0.8785166240409207} | {'accuracy': 0.8178331735378715} |
| 0.0596 | 102.0 | 34170 | 1.1726 | {'f1': 0.8778625954198473} | {'accuracy': 0.8159156279961649} |
| 0.0612 | 103.0 | 34505 | 1.1259 | {'f1': 0.8823151125401929} | {'accuracy': 0.8245445829338447} |
| 0.0612 | 104.0 | 34840 | 1.0810 | {'f1': 0.8857327307940606} | {'accuracy': 0.8302972195589645} |
| 0.0672 | 105.0 | 35175 | 1.1677 | {'f1': 0.8810741687979541} | {'accuracy': 0.8216682646212847} |
| 0.0624 | 106.0 | 35510 | 1.1728 | {'f1': 0.8794871794871796} | {'accuracy': 0.8197507190795782} |
| 0.0624 | 107.0 | 35845 | 1.1968 | {'f1': 0.8854766474728086} | {'accuracy': 0.8283796740172579} |
| 0.0597 | 108.0 | 36180 | 1.1626 | {'f1': 0.8841970569417786} | {'accuracy': 0.8264621284755513} |
| 0.0627 | 109.0 | 36515 | 1.1067 | {'f1': 0.8870129870129869} | {'accuracy': 0.8331735378715245} |
| 0.0627 | 110.0 | 36850 | 1.1216 | {'f1': 0.8854368932038835} | {'accuracy': 0.8302972195589645} |
| 0.0497 | 111.0 | 37185 | 1.1710 | {'f1': 0.8803088803088803} | {'accuracy': 0.8216682646212847} |
| 0.0551 | 112.0 | 37520 | 1.1882 | {'f1': 0.8802547770700637} | {'accuracy': 0.8197507190795782} |
| 0.0551 | 113.0 | 37855 | 1.1644 | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0597 | 114.0 | 38190 | 1.0852 | {'f1': 0.8863049095607234} | {'accuracy': 0.8312559923298178} |
| 0.0444 | 115.0 | 38525 | 1.2478 | {'f1': 0.8772151898734178} | {'accuracy': 0.8139980824544583} |
| 0.0444 | 116.0 | 38860 | 1.1119 | {'f1': 0.8817480719794344} | {'accuracy': 0.8235858101629914} |
| 0.053 | 117.0 | 39195 | 1.2588 | {'f1': 0.8709880427942103} | {'accuracy': 0.8034515819750719} |
| 0.0519 | 118.0 | 39530 | 1.1433 | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138} |
| 0.0519 | 119.0 | 39865 | 1.1480 | {'f1': 0.8833010960670536} | {'accuracy': 0.8264621284755513} |
| 0.0567 | 120.0 | 40200 | 1.2303 | {'f1': 0.8850574712643677} | {'accuracy': 0.8274209012464045} |
| 0.0478 | 121.0 | 40535 | 1.3070 | {'f1': 0.8784213876511776} | {'accuracy': 0.8168744007670182} |
| 0.0478 | 122.0 | 40870 | 1.2091 | {'f1': 0.8850129198966409} | {'accuracy': 0.8293384467881112} |
| 0.0454 | 123.0 | 41205 | 1.2617 | {'f1': 0.8790786948176584} | {'accuracy': 0.8187919463087249} |
| 0.052 | 124.0 | 41540 | 1.1830 | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.052 | 125.0 | 41875 | 1.1763 | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0414 | 126.0 | 42210 | 1.0855 | {'f1': 0.888888888888889} | {'accuracy': 0.8389261744966443} |
| 0.0436 | 127.0 | 42545 | 1.0968 | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0436 | 128.0 | 42880 | 1.2527 | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.0446 | 129.0 | 43215 | 1.1601 | {'f1': 0.8798972382787411} | {'accuracy': 0.8207094918504314} |
| 0.049 | 130.0 | 43550 | 1.1404 | {'f1': 0.8865710560625816} | {'accuracy': 0.8331735378715245} |
| 0.049 | 131.0 | 43885 | 1.1282 | {'f1': 0.8817766165904638} | {'accuracy': 0.8264621284755513} |
| 0.0423 | 132.0 | 44220 | 1.1854 | {'f1': 0.8804627249357326} | {'accuracy': 0.8216682646212847} |
| 0.0425 | 133.0 | 44555 | 1.1647 | {'f1': 0.8792207792207791} | {'accuracy': 0.8216682646212847} |
| 0.0425 | 134.0 | 44890 | 1.2484 | {'f1': 0.8813341885824246} | {'accuracy': 0.822627037392138} |
| 0.0461 | 135.0 | 45225 | 1.2505 | {'f1': 0.8812903225806452} | {'accuracy': 0.8235858101629914} |
| 0.0342 | 136.0 | 45560 | 1.1941 | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0342 | 137.0 | 45895 | 1.2203 | {'f1': 0.8823151125401929} | {'accuracy': 0.8245445829338447} |
| 0.0421 | 138.0 | 46230 | 1.1508 | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.0415 | 139.0 | 46565 | 1.2784 | {'f1': 0.8766946417043254} | {'accuracy': 0.8168744007670182} |
| 0.0415 | 140.0 | 46900 | 1.2567 | {'f1': 0.8815958815958816} | {'accuracy': 0.8235858101629914} |
| 0.045 | 141.0 | 47235 | 1.1752 | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.041 | 142.0 | 47570 | 1.3445 | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.041 | 143.0 | 47905 | 1.2438 | {'f1': 0.8804627249357326} | {'accuracy': 0.8216682646212847} |
| 0.0464 | 144.0 | 48240 | 1.1829 | {'f1': 0.8864229765013055} | {'accuracy': 0.8331735378715245} |
| 0.0384 | 145.0 | 48575 | 1.2665 | {'f1': 0.8837209302325582} | {'accuracy': 0.8274209012464045} |
| 0.0384 | 146.0 | 48910 | 1.1613 | {'f1': 0.8884488448844885} | {'accuracy': 0.837967401725791} |
| 0.0356 | 147.0 | 49245 | 1.3262 | {'f1': 0.8798972382787411} | {'accuracy': 0.8207094918504314} |
| 0.037 | 148.0 | 49580 | 1.2797 | {'f1': 0.8797427652733119} | {'accuracy': 0.8207094918504314} |
| 0.037 | 149.0 | 49915 | 1.3262 | {'f1': 0.8757170172084129} | {'accuracy': 0.8130393096836049} |
| 0.0369 | 150.0 | 50250 | 1.2448 | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.0365 | 151.0 | 50585 | 1.2979 | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.0365 | 152.0 | 50920 | 1.2667 | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.0308 | 153.0 | 51255 | 1.2065 | {'f1': 0.8820039551746869} | {'accuracy': 0.8283796740172579} |
| 0.0358 | 154.0 | 51590 | 1.0985 | {'f1': 0.8846153846153847} | {'accuracy': 0.8331735378715245} |
| 0.0358 | 155.0 | 51925 | 1.2635 | {'f1': 0.8786502271252432} | {'accuracy': 0.8207094918504314} |
| 0.0333 | 156.0 | 52260 | 1.4968 | {'f1': 0.8725674827369743} | {'accuracy': 0.8053691275167785} |
| 0.0473 | 157.0 | 52595 | 1.1381 | {'f1': 0.8814669286182057} | {'accuracy': 0.8264621284755513} |
| 0.0473 | 158.0 | 52930 | 1.4122 | {'f1': 0.8755583918315252} | {'accuracy': 0.8130393096836049} |
| 0.0294 | 159.0 | 53265 | 1.1408 | {'f1': 0.8804702808621816} | {'accuracy': 0.8245445829338447} |
| 0.0396 | 160.0 | 53600 | 1.2296 | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0396 | 161.0 | 53935 | 1.2326 | {'f1': 0.8817065287653523} | {'accuracy': 0.8245445829338447} |
| 0.0376 | 162.0 | 54270 | 1.2225 | {'f1': 0.8793774319066148} | {'accuracy': 0.8216682646212847} |
| 0.0384 | 163.0 | 54605 | 1.3583 | {'f1': 0.8766603415559772} | {'accuracy': 0.8130393096836049} |
| 0.0384 | 164.0 | 54940 | 1.2230 | {'f1': 0.8830829523187459} | {'accuracy': 0.8283796740172579} |
| 0.0344 | 165.0 | 55275 | 1.1266 | {'f1': 0.8874259381171825} | {'accuracy': 0.8360498561840843} |
| 0.0316 | 166.0 | 55610 | 1.1692 | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0316 | 167.0 | 55945 | 1.1212 | {'f1': 0.886259040105194} | {'accuracy': 0.8341323106423778} |
| 0.0313 | 168.0 | 56280 | 1.1571 | {'f1': 0.8845654993514916} | {'accuracy': 0.8293384467881112} |
| 0.0277 | 169.0 | 56615 | 1.2483 | {'f1': 0.881859264041317} | {'accuracy': 0.8245445829338447} |
| 0.0277 | 170.0 | 56950 | 1.4021 | {'f1': 0.8757097791798107} | {'accuracy': 0.8111217641418984} |
| 0.0335 | 171.0 | 57285 | 1.4360 | {'f1': 0.8769035532994924} | {'accuracy': 0.8139980824544583} |
| 0.0283 | 172.0 | 57620 | 1.2176 | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0283 | 173.0 | 57955 | 1.2605 | {'f1': 0.8852883992222943} | {'accuracy': 0.8302972195589645} |
| 0.0265 | 174.0 | 58290 | 1.2043 | {'f1': 0.8878748370273793} | {'accuracy': 0.835091083413231} |
| 0.0346 | 175.0 | 58625 | 1.4101 | {'f1': 0.8780487804878049} | {'accuracy': 0.8178331735378715} |
| 0.0346 | 176.0 | 58960 | 1.3603 | {'f1': 0.878017789072427} | {'accuracy': 0.8159156279961649} |
| 0.0328 | 177.0 | 59295 | 1.4221 | {'f1': 0.8788265306122449} | {'accuracy': 0.8178331735378715} |
| 0.0415 | 178.0 | 59630 | 1.2330 | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0415 | 179.0 | 59965 | 1.3318 | {'f1': 0.8837209302325582} | {'accuracy': 0.8274209012464045} |
| 0.0273 | 180.0 | 60300 | 1.3779 | {'f1': 0.8800513149454778} | {'accuracy': 0.8207094918504314} |
| 0.0284 | 181.0 | 60635 | 1.3195 | {'f1': 0.8792207792207791} | {'accuracy': 0.8216682646212847} |
| 0.0284 | 182.0 | 60970 | 1.3557 | {'f1': 0.8810289389067525} | {'accuracy': 0.822627037392138} |
| 0.0306 | 183.0 | 61305 | 1.5289 | {'f1': 0.8743654822335025} | {'accuracy': 0.8101629913710451} |
| 0.027 | 184.0 | 61640 | 1.3811 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.027 | 185.0 | 61975 | 1.4146 | {'f1': 0.8764478764478765} | {'accuracy': 0.8159156279961649} |
| 0.0267 | 186.0 | 62310 | 1.3836 | {'f1': 0.8814432989690721} | {'accuracy': 0.8235858101629914} |
| 0.0226 | 187.0 | 62645 | 1.3915 | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138} |
| 0.0226 | 188.0 | 62980 | 1.3690 | {'f1': 0.877284595300261} | {'accuracy': 0.8197507190795782} |
| 0.024 | 189.0 | 63315 | 1.5066 | {'f1': 0.8773946360153257} | {'accuracy': 0.8159156279961649} |
| 0.0275 | 190.0 | 63650 | 1.3999 | {'f1': 0.8808757244043787} | {'accuracy': 0.822627037392138} |
| 0.0275 | 191.0 | 63985 | 1.3867 | {'f1': 0.8758002560819463} | {'accuracy': 0.8139980824544583} |
| 0.0274 | 192.0 | 64320 | 1.3696 | {'f1': 0.8795878943979395} | {'accuracy': 0.8207094918504314} |
| 0.0274 | 193.0 | 64655 | 1.4807 | {'f1': 0.878017789072427} | {'accuracy': 0.8159156279961649} |
| 0.0274 | 194.0 | 64990 | 1.2959 | {'f1': 0.88296488946684} | {'accuracy': 0.8274209012464045} |
| 0.0276 | 195.0 | 65325 | 1.3492 | {'f1': 0.8841423948220065} | {'accuracy': 0.8283796740172579} |
| 0.0238 | 196.0 | 65660 | 1.3131 | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0238 | 197.0 | 65995 | 1.3334 | {'f1': 0.8845654993514916} | {'accuracy': 0.8293384467881112} |
| 0.0216 | 198.0 | 66330 | 1.2434 | {'f1': 0.881399870382372} | {'accuracy': 0.8245445829338447} |
| 0.0337 | 199.0 | 66665 | 1.3533 | {'f1': 0.879177377892031} | {'accuracy': 0.8197507190795782} |
| 0.0204 | 200.0 | 67000 | 1.2521 | {'f1': 0.8877216021011162} | {'accuracy': 0.8360498561840843} |
| 0.0204 | 201.0 | 67335 | 1.3449 | {'f1': 0.8873056994818653} | {'accuracy': 0.8331735378715245} |
| 0.0276 | 202.0 | 67670 | 1.3239 | {'f1': 0.88671875} | {'accuracy': 0.8331735378715245} |
| 0.0224 | 203.0 | 68005 | 1.3420 | {'f1': 0.8841145833333333} | {'accuracy': 0.8293384467881112} |
| 0.0224 | 204.0 | 68340 | 1.3636 | {'f1': 0.8847150259067358} | {'accuracy': 0.8293384467881112} |
| 0.0226 | 205.0 | 68675 | 1.3225 | {'f1': 0.8871493803000652} | {'accuracy': 0.8341323106423778} |
| 0.0233 | 206.0 | 69010 | 1.3964 | {'f1': 0.8820116054158607} | {'accuracy': 0.8245445829338447} |
| 0.0233 | 207.0 | 69345 | 1.4129 | {'f1': 0.8854368932038835} | {'accuracy': 0.8302972195589645} |
| 0.0205 | 208.0 | 69680 | 1.2687 | {'f1': 0.8868660598179455} | {'accuracy': 0.8331735378715245} |
| 0.023 | 209.0 | 70015 | 1.5126 | {'f1': 0.8762626262626263} | {'accuracy': 0.8120805369127517} |
| 0.023 | 210.0 | 70350 | 1.2341 | {'f1': 0.886259040105194} | {'accuracy': 0.8341323106423778} |
| 0.0204 | 211.0 | 70685 | 1.3646 | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.0219 | 212.0 | 71020 | 1.3274 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0219 | 213.0 | 71355 | 1.3338 | {'f1': 0.8836012861736334} | {'accuracy': 0.8264621284755513} |
| 0.0253 | 214.0 | 71690 | 1.2093 | {'f1': 0.8887425938117183} | {'accuracy': 0.837967401725791} |
| 0.0231 | 215.0 | 72025 | 1.5109 | {'f1': 0.879746835443038} | {'accuracy': 0.8178331735378715} |
| 0.0231 | 216.0 | 72360 | 1.2282 | {'f1': 0.8838709677419355} | {'accuracy': 0.8274209012464045} |
| 0.0287 | 217.0 | 72695 | 1.2655 | {'f1': 0.8856956237753103} | {'accuracy': 0.8322147651006712} |
| 0.0192 | 218.0 | 73030 | 1.4157 | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0192 | 219.0 | 73365 | 1.3811 | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0259 | 220.0 | 73700 | 1.3085 | {'f1': 0.8872870249017039} | {'accuracy': 0.835091083413231} |
| 0.0167 | 221.0 | 74035 | 1.4609 | {'f1': 0.8813341885824246} | {'accuracy': 0.822627037392138} |
| 0.0167 | 222.0 | 74370 | 1.2850 | {'f1': 0.8858085808580859} | {'accuracy': 0.8341323106423778} |
| 0.0197 | 223.0 | 74705 | 1.4649 | {'f1': 0.8829174664107486} | {'accuracy': 0.8245445829338447} |
| 0.0202 | 224.0 | 75040 | 1.1894 | {'f1': 0.8812877263581489} | {'accuracy': 0.8302972195589645} |
| 0.0202 | 225.0 | 75375 | 1.3179 | {'f1': 0.8798972382787411} | {'accuracy': 0.8207094918504314} |
| 0.0237 | 226.0 | 75710 | 1.3290 | {'f1': 0.8823529411764706} | {'accuracy': 0.8235858101629914} |
| 0.021 | 227.0 | 76045 | 1.4850 | {'f1': 0.8763474952441344} | {'accuracy': 0.8130393096836049} |
| 0.021 | 228.0 | 76380 | 1.4027 | {'f1': 0.8842921784098255} | {'accuracy': 0.8283796740172579} |
| 0.0177 | 229.0 | 76715 | 1.4112 | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0172 | 230.0 | 77050 | 1.3582 | {'f1': 0.88296488946684} | {'accuracy': 0.8274209012464045} |
| 0.0172 | 231.0 | 77385 | 1.4028 | {'f1': 0.8788265306122449} | {'accuracy': 0.8178331735378715} |
| 0.0195 | 232.0 | 77720 | 1.4775 | {'f1': 0.8825806451612904} | {'accuracy': 0.825503355704698} |
| 0.0154 | 233.0 | 78055 | 1.6026 | {'f1': 0.8814862267777066} | {'accuracy': 0.822627037392138} |
| 0.0154 | 234.0 | 78390 | 1.3391 | {'f1': 0.8861092824226466} | {'accuracy': 0.8341323106423778} |
| 0.0193 | 235.0 | 78725 | 1.4912 | {'f1': 0.875724404378622} | {'accuracy': 0.8149568552253116} |
| 0.0164 | 236.0 | 79060 | 1.4871 | {'f1': 0.881399870382372} | {'accuracy': 0.8245445829338447} |
| 0.0164 | 237.0 | 79395 | 1.4251 | {'f1': 0.8823529411764706} | {'accuracy': 0.8274209012464045} |
| 0.0187 | 238.0 | 79730 | 1.3903 | {'f1': 0.8833551769331585} | {'accuracy': 0.8293384467881112} |
| 0.0178 | 239.0 | 80065 | 1.3270 | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0178 | 240.0 | 80400 | 1.5414 | {'f1': 0.8796414852752881} | {'accuracy': 0.8197507190795782} |
| 0.0126 | 241.0 | 80735 | 1.4967 | {'f1': 0.8785166240409207} | {'accuracy': 0.8178331735378715} |
| 0.0155 | 242.0 | 81070 | 1.4005 | {'f1': 0.8832020997375328} | {'accuracy': 0.8293384467881112} |
| 0.0155 | 243.0 | 81405 | 1.6056 | {'f1': 0.8766066838046273} | {'accuracy': 0.8159156279961649} |
| 0.0147 | 244.0 | 81740 | 1.6719 | {'f1': 0.8766773162939298} | {'accuracy': 0.8149568552253116} |
| 0.0226 | 245.0 | 82075 | 1.4974 | {'f1': 0.8806161745827985} | {'accuracy': 0.8216682646212847} |
| 0.0226 | 246.0 | 82410 | 1.5430 | {'f1': 0.8795878943979395} | {'accuracy': 0.8207094918504314} |
| 0.0171 | 247.0 | 82745 | 1.3726 | {'f1': 0.8817065287653523} | {'accuracy': 0.8245445829338447} |
| 0.0226 | 248.0 | 83080 | 1.4351 | {'f1': 0.8820116054158607} | {'accuracy': 0.8245445829338447} |
| 0.0226 | 249.0 | 83415 | 1.4010 | {'f1': 0.8841145833333333} | {'accuracy': 0.8293384467881112} |
| 0.0237 | 250.0 | 83750 | 1.4589 | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138} |
| 0.014 | 251.0 | 84085 | 1.3529 | {'f1': 0.8786127167630058} | {'accuracy': 0.8187919463087249} |
| 0.014 | 252.0 | 84420 | 1.4724 | {'f1': 0.8793873643905552} | {'accuracy': 0.8187919463087249} |
| 0.0203 | 253.0 | 84755 | 1.4837 | {'f1': 0.8796414852752881} | {'accuracy': 0.8197507190795782} |
| 0.0148 | 254.0 | 85090 | 1.8253 | {'f1': 0.8717948717948719} | {'accuracy': 0.8034515819750719} |
| 0.0148 | 255.0 | 85425 | 1.4304 | {'f1': 0.8815104166666666} | {'accuracy': 0.825503355704698} |
| 0.0149 | 256.0 | 85760 | 1.5129 | {'f1': 0.884887459807074} | {'accuracy': 0.8283796740172579} |
| 0.0122 | 257.0 | 86095 | 1.5338 | {'f1': 0.8817065287653523} | {'accuracy': 0.8245445829338447} |
| 0.0122 | 258.0 | 86430 | 1.4792 | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.0162 | 259.0 | 86765 | 1.4745 | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698} |
| 0.0208 | 260.0 | 87100 | 1.4651 | {'f1': 0.8835393623942747} | {'accuracy': 0.8283796740172579} |
| 0.0208 | 261.0 | 87435 | 1.3562 | {'f1': 0.8837820091923834} | {'accuracy': 0.8302972195589645} |
| 0.015 | 262.0 | 87770 | 1.4761 | {'f1': 0.8794871794871796} | {'accuracy': 0.8197507190795782} |
| 0.0143 | 263.0 | 88105 | 1.5374 | {'f1': 0.880722114764668} | {'accuracy': 0.822627037392138} |
| 0.0143 | 264.0 | 88440 | 1.3936 | {'f1': 0.8820445609436436} | {'accuracy': 0.8274209012464045} |
| 0.0184 | 265.0 | 88775 | 1.5026 | {'f1': 0.8801546391752577} | {'accuracy': 0.8216682646212847} |
| 0.0161 | 266.0 | 89110 | 1.4669 | {'f1': 0.8784925276153347} | {'accuracy': 0.8207094918504314} |
| 0.0161 | 267.0 | 89445 | 1.5627 | {'f1': 0.8757921419518377} | {'accuracy': 0.8120805369127517} |
| 0.0216 | 268.0 | 89780 | 1.3037 | {'f1': 0.8843626806833115} | {'accuracy': 0.8312559923298178} |
| 0.0137 | 269.0 | 90115 | 1.6394 | {'f1': 0.8765743073047859} | {'accuracy': 0.8120805369127517} |
| 0.0137 | 270.0 | 90450 | 1.4684 | {'f1': 0.881859264041317} | {'accuracy': 0.8245445829338447} |
| 0.0164 | 271.0 | 90785 | 1.3730 | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0148 | 272.0 | 91120 | 1.5189 | {'f1': 0.8789237668161436} | {'accuracy': 0.8187919463087249} |
| 0.0148 | 273.0 | 91455 | 1.2963 | {'f1': 0.8860589812332439} | {'accuracy': 0.8370086289549377} |
| 0.0131 | 274.0 | 91790 | 1.5332 | {'f1': 0.879177377892031} | {'accuracy': 0.8197507190795782} |
| 0.0125 | 275.0 | 92125 | 1.5472 | {'f1': 0.8814862267777066} | {'accuracy': 0.822627037392138} |
| 0.0125 | 276.0 | 92460 | 1.4647 | {'f1': 0.881201044386423} | {'accuracy': 0.825503355704698} |
| 0.0153 | 277.0 | 92795 | 1.4001 | {'f1': 0.8852459016393444} | {'accuracy': 0.8322147651006712} |
| 0.0118 | 278.0 | 93130 | 1.5457 | {'f1': 0.8800513149454778} | {'accuracy': 0.8207094918504314} |
| 0.0118 | 279.0 | 93465 | 1.3179 | {'f1': 0.886259040105194} | {'accuracy': 0.8341323106423778} |
| 0.0167 | 280.0 | 93800 | 1.5365 | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698} |
| 0.0109 | 281.0 | 94135 | 1.5775 | {'f1': 0.8783610755441742} | {'accuracy': 0.8178331735378715} |
| 0.0109 | 282.0 | 94470 | 1.4469 | {'f1': 0.8855656697009102} | {'accuracy': 0.8312559923298178} |
| 0.0127 | 283.0 | 94805 | 1.5806 | {'f1': 0.8748403575989783} | {'accuracy': 0.8120805369127517} |
| 0.0167 | 284.0 | 95140 | 1.4599 | {'f1': 0.8780487804878049} | {'accuracy': 0.8178331735378715} |
| 0.0167 | 285.0 | 95475 | 1.3209 | {'f1': 0.8858085808580859} | {'accuracy': 0.8341323106423778} |
| 0.019 | 286.0 | 95810 | 1.4650 | {'f1': 0.8772378516624041} | {'accuracy': 0.8159156279961649} |
| 0.0147 | 287.0 | 96145 | 1.5146 | {'f1': 0.8800513149454778} | {'accuracy': 0.8207094918504314} |
| 0.0147 | 288.0 | 96480 | 1.5135 | {'f1': 0.8818998716302953} | {'accuracy': 0.8235858101629914} |
| 0.0144 | 289.0 | 96815 | 1.5631 | {'f1': 0.8807692307692307} | {'accuracy': 0.8216682646212847} |
| 0.012 | 290.0 | 97150 | 1.4717 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.012 | 291.0 | 97485 | 1.4136 | {'f1': 0.8817766165904638} | {'accuracy': 0.8264621284755513} |
| 0.01 | 292.0 | 97820 | 1.6090 | {'f1': 0.8755583918315252} | {'accuracy': 0.8130393096836049} |
| 0.0182 | 293.0 | 98155 | 1.3377 | {'f1': 0.8845144356955381} | {'accuracy': 0.8312559923298178} |
| 0.0182 | 294.0 | 98490 | 1.4140 | {'f1': 0.8867059593975114} | {'accuracy': 0.8341323106423778} |
| 0.0134 | 295.0 | 98825 | 1.5533 | {'f1': 0.8790786948176584} | {'accuracy': 0.8187919463087249} |
| 0.0142 | 296.0 | 99160 | 1.4165 | {'f1': 0.8817345597897503} | {'accuracy': 0.8274209012464045} |
| 0.0142 | 297.0 | 99495 | 1.4488 | {'f1': 0.8802083333333333} | {'accuracy': 0.8235858101629914} |
| 0.013 | 298.0 | 99830 | 1.5705 | {'f1': 0.8777348777348777} | {'accuracy': 0.8178331735378715} |
| 0.0116 | 299.0 | 100165 | 1.4775 | {'f1': 0.8768020969855832} | {'accuracy': 0.8197507190795782} |
| 0.0177 | 300.0 | 100500 | 1.4692 | {'f1': 0.8817065287653523} | {'accuracy': 0.8245445829338447} |
| 0.0177 | 301.0 | 100835 | 1.4669 | {'f1': 0.8828125} | {'accuracy': 0.8274209012464045} |
| 0.0162 | 302.0 | 101170 | 1.4569 | {'f1': 0.8837820091923834} | {'accuracy': 0.8302972195589645} |
| 0.0154 | 303.0 | 101505 | 1.5704 | {'f1': 0.8745198463508322} | {'accuracy': 0.8120805369127517} |
| 0.0154 | 304.0 | 101840 | 1.5991 | {'f1': 0.8770806658130602} | {'accuracy': 0.8159156279961649} |
| 0.0149 | 305.0 | 102175 | 1.6488 | {'f1': 0.8747616020343293} | {'accuracy': 0.8111217641418984} |
| 0.0157 | 306.0 | 102510 | 1.6070 | {'f1': 0.8697850821744627} | {'accuracy': 0.8024928092042186} |
| 0.0157 | 307.0 | 102845 | 1.4363 | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0109 | 308.0 | 103180 | 1.4503 | {'f1': 0.8785529715762274} | {'accuracy': 0.8197507190795782} |
| 0.0148 | 309.0 | 103515 | 1.5801 | {'f1': 0.869123252858958} | {'accuracy': 0.8024928092042186} |
| 0.0148 | 310.0 | 103850 | 1.4189 | {'f1': 0.8791639451338994} | {'accuracy': 0.822627037392138} |
| 0.0153 | 311.0 | 104185 | 1.4453 | {'f1': 0.8752424046541694} | {'accuracy': 0.8149568552253116} |
| 0.0126 | 312.0 | 104520 | 1.6206 | {'f1': 0.8740458015267175} | {'accuracy': 0.8101629913710451} |
| 0.0126 | 313.0 | 104855 | 1.4516 | {'f1': 0.8765352294764059} | {'accuracy': 0.8168744007670182} |
| 0.0165 | 314.0 | 105190 | 1.3816 | {'f1': 0.8804702808621816} | {'accuracy': 0.8245445829338447} |
| 0.0165 | 315.0 | 105525 | 1.3595 | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0165 | 316.0 | 105860 | 1.5510 | {'f1': 0.8782664117272148} | {'accuracy': 0.8168744007670182} |
| 0.0123 | 317.0 | 106195 | 1.3590 | {'f1': 0.882084690553746} | {'accuracy': 0.8264621284755513} |
| 0.0132 | 318.0 | 106530 | 1.2702 | {'f1': 0.8878627968337731} | {'accuracy': 0.8370086289549377} |
| 0.0132 | 319.0 | 106865 | 1.4241 | {'f1': 0.8840206185567011} | {'accuracy': 0.8274209012464045} |
| 0.0136 | 320.0 | 107200 | 1.3627 | {'f1': 0.8858447488584474} | {'accuracy': 0.8322147651006712} |
| 0.0161 | 321.0 | 107535 | 1.3967 | {'f1': 0.881399870382372} | {'accuracy': 0.8245445829338447} |
| 0.0161 | 322.0 | 107870 | 1.6389 | {'f1': 0.8734177215189873} | {'accuracy': 0.8082454458293384} |
| 0.0121 | 323.0 | 108205 | 1.3805 | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0085 | 324.0 | 108540 | 1.4762 | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0085 | 325.0 | 108875 | 1.4123 | {'f1': 0.8839634941329856} | {'accuracy': 0.8293384467881112} |
| 0.0111 | 326.0 | 109210 | 1.4110 | {'f1': 0.8810916179337233} | {'accuracy': 0.8245445829338447} |
| 0.009 | 327.0 | 109545 | 1.4012 | {'f1': 0.8872870249017039} | {'accuracy': 0.835091083413231} |
| 0.009 | 328.0 | 109880 | 1.3711 | {'f1': 0.8807817589576548} | {'accuracy': 0.8245445829338447} |
| 0.0114 | 329.0 | 110215 | 1.4617 | {'f1': 0.8825065274151437} | {'accuracy': 0.8274209012464045} |
| 0.0115 | 330.0 | 110550 | 1.7397 | {'f1': 0.8748435544430538} | {'accuracy': 0.8082454458293384} |
| 0.0115 | 331.0 | 110885 | 1.4449 | {'f1': 0.8847150259067358} | {'accuracy': 0.8293384467881112} |
| 0.0143 | 332.0 | 111220 | 1.4136 | {'f1': 0.88296488946684} | {'accuracy': 0.8274209012464045} |
| 0.0145 | 333.0 | 111555 | 1.2394 | {'f1': 0.8881535407015221} | {'accuracy': 0.837967401725791} |
| 0.0145 | 334.0 | 111890 | 1.3683 | {'f1': 0.882084690553746} | {'accuracy': 0.8264621284755513} |
| 0.0118 | 335.0 | 112225 | 1.5259 | {'f1': 0.8744479495268138} | {'accuracy': 0.8092042186001918} |
| 0.0124 | 336.0 | 112560 | 1.1697 | {'f1': 0.8941018766756033} | {'accuracy': 0.8485139022051774} |
| 0.0124 | 337.0 | 112895 | 1.3062 | {'f1': 0.8845654993514916} | {'accuracy': 0.8293384467881112} |
| 0.0122 | 338.0 | 113230 | 1.2246 | {'f1': 0.888888888888889} | {'accuracy': 0.8398849472674976} |
| 0.0145 | 339.0 | 113565 | 1.3319 | {'f1': 0.8839050131926122} | {'accuracy': 0.8312559923298178} |
| 0.0145 | 340.0 | 113900 | 1.3524 | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0116 | 341.0 | 114235 | 1.5009 | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0157 | 342.0 | 114570 | 1.3951 | {'f1': 0.8808757244043787} | {'accuracy': 0.822627037392138} |
| 0.0157 | 343.0 | 114905 | 1.3430 | {'f1': 0.8872870249017039} | {'accuracy': 0.835091083413231} |
| 0.0066 | 344.0 | 115240 | 1.3878 | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0125 | 345.0 | 115575 | 1.4196 | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0125 | 346.0 | 115910 | 1.5421 | {'f1': 0.8841698841698842} | {'accuracy': 0.8274209012464045} |
| 0.0047 | 347.0 | 116245 | 1.3159 | {'f1': 0.8905206942590119} | {'accuracy': 0.8427612655800575} |
| 0.0115 | 348.0 | 116580 | 1.4889 | {'f1': 0.88296488946684} | {'accuracy': 0.8274209012464045} |
| 0.0115 | 349.0 | 116915 | 1.4914 | {'f1': 0.8841423948220065} | {'accuracy': 0.8283796740172579} |
| 0.0094 | 350.0 | 117250 | 1.4304 | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138} |
| 0.0135 | 351.0 | 117585 | 1.5763 | {'f1': 0.8782664117272148} | {'accuracy': 0.8168744007670182} |
| 0.0135 | 352.0 | 117920 | 1.4326 | {'f1': 0.8831835686777921} | {'accuracy': 0.825503355704698} |
| 0.0159 | 353.0 | 118255 | 1.5209 | {'f1': 0.8804071246819339} | {'accuracy': 0.8197507190795782} |
| 0.0121 | 354.0 | 118590 | 1.4481 | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698} |
| 0.0121 | 355.0 | 118925 | 1.3729 | {'f1': 0.8883013879709186} | {'accuracy': 0.837967401725791} |
| 0.0076 | 356.0 | 119260 | 1.4068 | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.011 | 357.0 | 119595 | 1.5804 | {'f1': 0.884318766066838} | {'accuracy': 0.8274209012464045} |
| 0.011 | 358.0 | 119930 | 1.4468 | {'f1': 0.8861418347430059} | {'accuracy': 0.8322147651006712} |
| 0.0104 | 359.0 | 120265 | 1.5484 | {'f1': 0.8794871794871796} | {'accuracy': 0.8197507190795782} |
| 0.0098 | 360.0 | 120600 | 1.5450 | {'f1': 0.8806161745827985} | {'accuracy': 0.8216682646212847} |
| 0.0098 | 361.0 | 120935 | 1.4119 | {'f1': 0.8855461085676913} | {'accuracy': 0.8322147651006712} |
| 0.01 | 362.0 | 121270 | 1.5413 | {'f1': 0.8811817597944765} | {'accuracy': 0.822627037392138} |
| 0.0057 | 363.0 | 121605 | 1.4996 | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0057 | 364.0 | 121940 | 1.5304 | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138} |
| 0.0083 | 365.0 | 122275 | 1.4527 | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0128 | 366.0 | 122610 | 1.3604 | {'f1': 0.8884488448844885} | {'accuracy': 0.837967401725791} |
| 0.0128 | 367.0 | 122945 | 1.4389 | {'f1': 0.8837209302325582} | {'accuracy': 0.8274209012464045} |
| 0.0108 | 368.0 | 123280 | 1.5141 | {'f1': 0.8828828828828829} | {'accuracy': 0.825503355704698} |
| 0.0137 | 369.0 | 123615 | 1.3898 | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0137 | 370.0 | 123950 | 1.3869 | {'f1': 0.8839634941329856} | {'accuracy': 0.8293384467881112} |
| 0.0075 | 371.0 | 124285 | 1.3627 | {'f1': 0.8856767411300921} | {'accuracy': 0.8331735378715245} |
| 0.0075 | 372.0 | 124620 | 1.4736 | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0075 | 373.0 | 124955 | 1.4527 | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.0085 | 374.0 | 125290 | 1.5817 | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0079 | 375.0 | 125625 | 1.6168 | {'f1': 0.8815958815958816} | {'accuracy': 0.8235858101629914} |
| 0.0079 | 376.0 | 125960 | 1.5068 | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698} |
| 0.0083 | 377.0 | 126295 | 1.5055 | {'f1': 0.8832684824902725} | {'accuracy': 0.8274209012464045} |
| 0.0115 | 378.0 | 126630 | 1.5258 | {'f1': 0.8828828828828829} | {'accuracy': 0.825503355704698} |
| 0.0115 | 379.0 | 126965 | 1.6030 | {'f1': 0.8752399232245682} | {'accuracy': 0.8130393096836049} |
| 0.007 | 380.0 | 127300 | 1.5607 | {'f1': 0.8759590792838876} | {'accuracy': 0.8139980824544583} |
| 0.0115 | 381.0 | 127635 | 1.4875 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0115 | 382.0 | 127970 | 1.4510 | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0086 | 383.0 | 128305 | 1.3703 | {'f1': 0.8815789473684211} | {'accuracy': 0.8274209012464045} |
| 0.0071 | 384.0 | 128640 | 1.4905 | {'f1': 0.8827319587628866} | {'accuracy': 0.825503355704698} |
| 0.0071 | 385.0 | 128975 | 1.5289 | {'f1': 0.8811817597944765} | {'accuracy': 0.822627037392138} |
| 0.0066 | 386.0 | 129310 | 1.5711 | {'f1': 0.8780487804878049} | {'accuracy': 0.8178331735378715} |
| 0.0105 | 387.0 | 129645 | 1.6893 | {'f1': 0.8701134930643127} | {'accuracy': 0.8024928092042186} |
| 0.0105 | 388.0 | 129980 | 1.5360 | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.0121 | 389.0 | 130315 | 1.4854 | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0095 | 390.0 | 130650 | 1.4741 | {'f1': 0.881664499349805} | {'accuracy': 0.825503355704698} |
| 0.0095 | 391.0 | 130985 | 1.5628 | {'f1': 0.8763613068545804} | {'accuracy': 0.8149568552253116} |
| 0.009 | 392.0 | 131320 | 1.5560 | {'f1': 0.8811817597944765} | {'accuracy': 0.822627037392138} |
| 0.0079 | 393.0 | 131655 | 1.4950 | {'f1': 0.8825065274151437} | {'accuracy': 0.8274209012464045} |
| 0.0079 | 394.0 | 131990 | 1.5270 | {'f1': 0.8784925276153347} | {'accuracy': 0.8207094918504314} |
| 0.0077 | 395.0 | 132325 | 1.5941 | {'f1': 0.8751608751608753} | {'accuracy': 0.8139980824544583} |
| 0.0097 | 396.0 | 132660 | 1.4690 | {'f1': 0.8795811518324608} | {'accuracy': 0.8235858101629914} |
| 0.0097 | 397.0 | 132995 | 1.4459 | {'f1': 0.8812664907651715} | {'accuracy': 0.8274209012464045} |
| 0.0051 | 398.0 | 133330 | 1.4213 | {'f1': 0.8822751322751322} | {'accuracy': 0.8293384467881112} |
| 0.0079 | 399.0 | 133665 | 1.4610 | {'f1': 0.8840291583830351} | {'accuracy': 0.8322147651006712} |
| 0.0066 | 400.0 | 134000 | 1.5880 | {'f1': 0.8771704180064309} | {'accuracy': 0.8168744007670182} |
| 0.0066 | 401.0 | 134335 | 1.7606 | {'f1': 0.874442319949012} | {'accuracy': 0.8111217641418984} |
| 0.0139 | 402.0 | 134670 | 1.5978 | {'f1': 0.8766946417043254} | {'accuracy': 0.8168744007670182} |
| 0.0078 | 403.0 | 135005 | 1.4467 | {'f1': 0.8831683168316831} | {'accuracy': 0.8302972195589645} |
| 0.0078 | 404.0 | 135340 | 1.4775 | {'f1': 0.8838752488387525} | {'accuracy': 0.8322147651006712} |
| 0.0069 | 405.0 | 135675 | 1.6677 | {'f1': 0.8795878943979395} | {'accuracy': 0.8207094918504314} |
| 0.0074 | 406.0 | 136010 | 1.6645 | {'f1': 0.8765352294764059} | {'accuracy': 0.8168744007670182} |
| 0.0074 | 407.0 | 136345 | 1.7429 | {'f1': 0.8766946417043254} | {'accuracy': 0.8168744007670182} |
| 0.0103 | 408.0 | 136680 | 1.5847 | {'f1': 0.8773523685918235} | {'accuracy': 0.8187919463087249} |
| 0.0102 | 409.0 | 137015 | 1.5852 | {'f1': 0.8768536428110896} | {'accuracy': 0.8168744007670182} |
| 0.0102 | 410.0 | 137350 | 1.6428 | {'f1': 0.8786127167630058} | {'accuracy': 0.8187919463087249} |
| 0.0061 | 411.0 | 137685 | 1.4875 | {'f1': 0.8840579710144927} | {'accuracy': 0.8312559923298178} |
| 0.0104 | 412.0 | 138020 | 1.5198 | {'f1': 0.8819308545335943} | {'accuracy': 0.8264621284755513} |
| 0.0104 | 413.0 | 138355 | 1.6076 | {'f1': 0.8770122343850613} | {'accuracy': 0.8168744007670182} |
| 0.0086 | 414.0 | 138690 | 1.5185 | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0093 | 415.0 | 139025 | 1.4091 | {'f1': 0.8880053015241882} | {'accuracy': 0.837967401725791} |
| 0.0093 | 416.0 | 139360 | 1.5178 | {'f1': 0.8819308545335943} | {'accuracy': 0.8264621284755513} |
| 0.0083 | 417.0 | 139695 | 1.5196 | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0058 | 418.0 | 140030 | 1.5603 | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698} |
| 0.0058 | 419.0 | 140365 | 1.4341 | {'f1': 0.8874172185430463} | {'accuracy': 0.8370086289549377} |
| 0.0092 | 420.0 | 140700 | 1.4512 | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0156 | 421.0 | 141035 | 1.4767 | {'f1': 0.8832684824902725} | {'accuracy': 0.8274209012464045} |
| 0.0156 | 422.0 | 141370 | 1.4180 | {'f1': 0.8833551769331585} | {'accuracy': 0.8293384467881112} |
| 0.0084 | 423.0 | 141705 | 1.4753 | {'f1': 0.8830829523187459} | {'accuracy': 0.8283796740172579} |
| 0.01 | 424.0 | 142040 | 1.4568 | {'f1': 0.8851395197923426} | {'accuracy': 0.8302972195589645} |
| 0.01 | 425.0 | 142375 | 1.4286 | {'f1': 0.8830829523187459} | {'accuracy': 0.8283796740172579} |
| 0.006 | 426.0 | 142710 | 1.4707 | {'f1': 0.8797385620915033} | {'accuracy': 0.8235858101629914} |
| 0.0057 | 427.0 | 143045 | 1.6428 | {'f1': 0.8773946360153257} | {'accuracy': 0.8159156279961649} |
| 0.0057 | 428.0 | 143380 | 1.4762 | {'f1': 0.8832354859752121} | {'accuracy': 0.8283796740172579} |
| 0.008 | 429.0 | 143715 | 1.5212 | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0052 | 430.0 | 144050 | 1.4851 | {'f1': 0.8818897637795275} | {'accuracy': 0.8274209012464045} |
| 0.0052 | 431.0 | 144385 | 1.6304 | {'f1': 0.8774193548387096} | {'accuracy': 0.8178331735378715} |
| 0.0089 | 432.0 | 144720 | 1.4639 | {'f1': 0.8836291913214991} | {'accuracy': 0.8302972195589645} |
| 0.0069 | 433.0 | 145055 | 1.6646 | {'f1': 0.8756410256410255} | {'accuracy': 0.8139980824544583} |
| 0.0069 | 434.0 | 145390 | 1.5078 | {'f1': 0.8816219751471549} | {'accuracy': 0.8264621284755513} |
| 0.0058 | 435.0 | 145725 | 1.6814 | {'f1': 0.874442319949012} | {'accuracy': 0.8111217641418984} |
| 0.0071 | 436.0 | 146060 | 1.5512 | {'f1': 0.8820445609436436} | {'accuracy': 0.8274209012464045} |
| 0.0071 | 437.0 | 146395 | 1.4773 | {'f1': 0.8827766863130322} | {'accuracy': 0.8283796740172579} |
| 0.0111 | 438.0 | 146730 | 1.5255 | {'f1': 0.8797920727745288} | {'accuracy': 0.822627037392138} |
| 0.0071 | 439.0 | 147065 | 1.5505 | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0071 | 440.0 | 147400 | 1.4674 | {'f1': 0.8830486202365309} | {'accuracy': 0.8293384467881112} |
| 0.0075 | 441.0 | 147735 | 1.5285 | {'f1': 0.8790058862001309} | {'accuracy': 0.822627037392138} |
| 0.0096 | 442.0 | 148070 | 1.5072 | {'f1': 0.8832020997375328} | {'accuracy': 0.8293384467881112} |
| 0.0096 | 443.0 | 148405 | 1.4909 | {'f1': 0.8820445609436436} | {'accuracy': 0.8274209012464045} |
| 0.0085 | 444.0 | 148740 | 1.6459 | {'f1': 0.8762755102040816} | {'accuracy': 0.8139980824544583} |
| 0.0127 | 445.0 | 149075 | 1.4276 | {'f1': 0.8818897637795275} | {'accuracy': 0.8274209012464045} |
| 0.0127 | 446.0 | 149410 | 1.5216 | {'f1': 0.8762151652624757} | {'accuracy': 0.8168744007670182} |
| 0.0072 | 447.0 | 149745 | 1.5487 | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.0076 | 448.0 | 150080 | 1.5529 | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.0076 | 449.0 | 150415 | 1.5916 | {'f1': 0.8782051282051283} | {'accuracy': 0.8178331735378715} |
| 0.007 | 450.0 | 150750 | 1.6348 | {'f1': 0.8778920308483289} | {'accuracy': 0.8178331735378715} |
| 0.0072 | 451.0 | 151085 | 1.4377 | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.0072 | 452.0 | 151420 | 1.4952 | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138} |
| 0.0077 | 453.0 | 151755 | 1.4855 | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.0051 | 454.0 | 152090 | 1.5523 | {'f1': 0.8820116054158607} | {'accuracy': 0.8245445829338447} |
| 0.0051 | 455.0 | 152425 | 1.4575 | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0069 | 456.0 | 152760 | 1.5480 | {'f1': 0.8803088803088803} | {'accuracy': 0.8216682646212847} |
| 0.0082 | 457.0 | 153095 | 1.4397 | {'f1': 0.8883048620236531} | {'accuracy': 0.8370086289549377} |
| 0.0082 | 458.0 | 153430 | 1.5694 | {'f1': 0.880722114764668} | {'accuracy': 0.822627037392138} |
| 0.0096 | 459.0 | 153765 | 1.5194 | {'f1': 0.8790058862001309} | {'accuracy': 0.822627037392138} |
| 0.0097 | 460.0 | 154100 | 1.4786 | {'f1': 0.88296488946684} | {'accuracy': 0.8274209012464045} |
| 0.0097 | 461.0 | 154435 | 1.4634 | {'f1': 0.8798955613577023} | {'accuracy': 0.8235858101629914} |
| 0.009 | 462.0 | 154770 | 1.7132 | {'f1': 0.8779253636938646} | {'accuracy': 0.8149568552253116} |
| 0.0095 | 463.0 | 155105 | 1.5436 | {'f1': 0.8820512820512821} | {'accuracy': 0.8235858101629914} |
| 0.0095 | 464.0 | 155440 | 1.4633 | {'f1': 0.8842105263157894} | {'accuracy': 0.8312559923298178} |
| 0.0051 | 465.0 | 155775 | 1.5750 | {'f1': 0.8837209302325582} | {'accuracy': 0.8274209012464045} |
| 0.0081 | 466.0 | 156110 | 1.5039 | {'f1': 0.8845144356955381} | {'accuracy': 0.8312559923298178} |
| 0.0081 | 467.0 | 156445 | 1.5045 | {'f1': 0.8828125} | {'accuracy': 0.8274209012464045} |
| 0.0077 | 468.0 | 156780 | 1.4375 | {'f1': 0.8793671720500988} | {'accuracy': 0.8245445829338447} |
| 0.0057 | 469.0 | 157115 | 1.6179 | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.0057 | 470.0 | 157450 | 1.6056 | {'f1': 0.881664499349805} | {'accuracy': 0.825503355704698} |
| 0.0054 | 471.0 | 157785 | 1.6304 | {'f1': 0.8796356538711776} | {'accuracy': 0.822627037392138} |
| 0.0084 | 472.0 | 158120 | 1.5060 | {'f1': 0.8789297658862876} | {'accuracy': 0.8264621284755513} |
| 0.0084 | 473.0 | 158455 | 1.5820 | {'f1': 0.881399870382372} | {'accuracy': 0.8245445829338447} |
| 0.0064 | 474.0 | 158790 | 1.5291 | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0091 | 475.0 | 159125 | 1.5703 | {'f1': 0.8784925276153347} | {'accuracy': 0.8207094918504314} |
| 0.0091 | 476.0 | 159460 | 1.4637 | {'f1': 0.882392026578073} | {'accuracy': 0.8302972195589645} |
| 0.0039 | 477.0 | 159795 | 1.5989 | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0112 | 478.0 | 160130 | 1.5197 | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0112 | 479.0 | 160465 | 1.4421 | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.0092 | 480.0 | 160800 | 1.4686 | {'f1': 0.8852459016393444} | {'accuracy': 0.8322147651006712} |
| 0.0088 | 481.0 | 161135 | 1.4668 | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0088 | 482.0 | 161470 | 1.4334 | {'f1': 0.8832020997375328} | {'accuracy': 0.8293384467881112} |
| 0.0096 | 483.0 | 161805 | 1.5198 | {'f1': 0.8786502271252432} | {'accuracy': 0.8207094918504314} |
| 0.0047 | 484.0 | 162140 | 1.4443 | {'f1': 0.8850726552179656} | {'accuracy': 0.8331735378715245} |
| 0.0047 | 485.0 | 162475 | 1.5450 | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698} |
| 0.0069 | 486.0 | 162810 | 1.4660 | {'f1': 0.8791639451338994} | {'accuracy': 0.822627037392138} |
| 0.0067 | 487.0 | 163145 | 1.5695 | {'f1': 0.8842921784098255} | {'accuracy': 0.8283796740172579} |
| 0.0067 | 488.0 | 163480 | 1.5924 | {'f1': 0.8825806451612904} | {'accuracy': 0.825503355704698} |
| 0.0055 | 489.0 | 163815 | 1.5764 | {'f1': 0.8822768434670116} | {'accuracy': 0.825503355704698} |
| 0.009 | 490.0 | 164150 | 1.5042 | {'f1': 0.881311475409836} | {'accuracy': 0.8264621284755513} |
| 0.009 | 491.0 | 164485 | 1.4637 | {'f1': 0.8821593153390389} | {'accuracy': 0.8283796740172579} |
| 0.0086 | 492.0 | 164820 | 1.5421 | {'f1': 0.8810916179337233} | {'accuracy': 0.8245445829338447} |
| 0.0066 | 493.0 | 165155 | 1.4550 | {'f1': 0.8821192052980134} | {'accuracy': 0.8293384467881112} |
| 0.0066 | 494.0 | 165490 | 1.5674 | {'f1': 0.875902823374918} | {'accuracy': 0.8187919463087249} |
| 0.0049 | 495.0 | 165825 | 1.6806 | {'f1': 0.8776699029126214} | {'accuracy': 0.8187919463087249} |
| 0.0029 | 496.0 | 166160 | 1.7344 | {'f1': 0.8764478764478765} | {'accuracy': 0.8159156279961649} |
| 0.0029 | 497.0 | 166495 | 1.6178 | {'f1': 0.8807339449541284} | {'accuracy': 0.825503355704698} |
| 0.0064 | 498.0 | 166830 | 1.7900 | {'f1': 0.8757921419518377} | {'accuracy': 0.8120805369127517} |
| 0.008 | 499.0 | 167165 | 1.7277 | {'f1': 0.8774855676715844} | {'accuracy': 0.8168744007670182} |
| 0.0059 | 500.0 | 167500 | 1.6116 | {'f1': 0.8785900783289817} | {'accuracy': 0.8216682646212847} |
| 0.0059 | 501.0 | 167835 | 1.6649 | {'f1': 0.8775773195876289} | {'accuracy': 0.8178331735378715} |
| 0.0075 | 502.0 | 168170 | 1.5932 | {'f1': 0.8761408083441983} | {'accuracy': 0.8178331735378715} |
| 0.0086 | 503.0 | 168505 | 1.5948 | {'f1': 0.8817766165904638} | {'accuracy': 0.8264621284755513} |
| 0.0086 | 504.0 | 168840 | 1.5424 | {'f1': 0.876984126984127} | {'accuracy': 0.8216682646212847} |
| 0.0063 | 505.0 | 169175 | 1.5306 | {'f1': 0.8818897637795275} | {'accuracy': 0.8274209012464045} |
| 0.0088 | 506.0 | 169510 | 1.5694 | {'f1': 0.881399870382372} | {'accuracy': 0.8245445829338447} |
| 0.0088 | 507.0 | 169845 | 1.5427 | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0035 | 508.0 | 170180 | 1.6553 | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.007 | 509.0 | 170515 | 1.5628 | {'f1': 0.8791064388961892} | {'accuracy': 0.8235858101629914} |
| 0.007 | 510.0 | 170850 | 1.5664 | {'f1': 0.8793215916503588} | {'accuracy': 0.822627037392138} |
| 0.0038 | 511.0 | 171185 | 1.5796 | {'f1': 0.8790637191157347} | {'accuracy': 0.8216682646212847} |
| 0.006 | 512.0 | 171520 | 1.5388 | {'f1': 0.8765676567656766} | {'accuracy': 0.8207094918504314} |
| 0.006 | 513.0 | 171855 | 1.6644 | {'f1': 0.8790218790218791} | {'accuracy': 0.8197507190795782} |
| 0.0122 | 514.0 | 172190 | 1.5761 | {'f1': 0.8753280839895013} | {'accuracy': 0.8178331735378715} |
| 0.0076 | 515.0 | 172525 | 1.6813 | {'f1': 0.8817480719794344} | {'accuracy': 0.8235858101629914} |
| 0.0076 | 516.0 | 172860 | 1.5030 | {'f1': 0.8858085808580859} | {'accuracy': 0.8341323106423778} |
| 0.0059 | 517.0 | 173195 | 1.6525 | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.0071 | 518.0 | 173530 | 1.6402 | {'f1': 0.8810916179337233} | {'accuracy': 0.8245445829338447} |
| 0.0071 | 519.0 | 173865 | 1.5771 | {'f1': 0.8836601307189542} | {'accuracy': 0.8293384467881112} |
| 0.0085 | 520.0 | 174200 | 1.6690 | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698} |
| 0.0083 | 521.0 | 174535 | 1.5547 | {'f1': 0.885396201702685} | {'accuracy': 0.8322147651006712} |
| 0.0083 | 522.0 | 174870 | 1.4857 | {'f1': 0.8789473684210526} | {'accuracy': 0.8235858101629914} |
| 0.0124 | 523.0 | 175205 | 1.4382 | {'f1': 0.8816219751471549} | {'accuracy': 0.8264621284755513} |
| 0.0076 | 524.0 | 175540 | 1.6573 | {'f1': 0.8775510204081634} | {'accuracy': 0.8159156279961649} |
| 0.0076 | 525.0 | 175875 | 1.5538 | {'f1': 0.8786502271252432} | {'accuracy': 0.8207094918504314} |
| 0.0071 | 526.0 | 176210 | 1.6442 | {'f1': 0.876117496807152} | {'accuracy': 0.8139980824544583} |
| 0.0067 | 527.0 | 176545 | 1.6500 | {'f1': 0.880722114764668} | {'accuracy': 0.822627037392138} |
| 0.0067 | 528.0 | 176880 | 1.4884 | {'f1': 0.8823142669296515} | {'accuracy': 0.8283796740172579} |
| 0.007 | 529.0 | 177215 | 1.4984 | {'f1': 0.8823142669296515} | {'accuracy': 0.8283796740172579} |
| 0.0062 | 530.0 | 177550 | 1.6704 | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0062 | 531.0 | 177885 | 1.6022 | {'f1': 0.8764629388816645} | {'accuracy': 0.8178331735378715} |
| 0.0053 | 532.0 | 178220 | 1.5841 | {'f1': 0.8788075178224238} | {'accuracy': 0.8207094918504314} |
| 0.0071 | 533.0 | 178555 | 1.5986 | {'f1': 0.8795336787564768} | {'accuracy': 0.8216682646212847} |
| 0.0071 | 534.0 | 178890 | 1.5788 | {'f1': 0.8770331815224464} | {'accuracy': 0.8187919463087249} |
| 0.0082 | 535.0 | 179225 | 1.5415 | {'f1': 0.8794233289646134} | {'accuracy': 0.8235858101629914} |
| 0.0067 | 536.0 | 179560 | 1.6323 | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.0067 | 537.0 | 179895 | 1.5763 | {'f1': 0.87890625} | {'accuracy': 0.8216682646212847} |
| 0.007 | 538.0 | 180230 | 1.6408 | {'f1': 0.8778280542986426} | {'accuracy': 0.8187919463087249} |
| 0.0062 | 539.0 | 180565 | 1.5163 | {'f1': 0.8841826604897418} | {'accuracy': 0.8322147651006712} |
| 0.0062 | 540.0 | 180900 | 1.5985 | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.0069 | 541.0 | 181235 | 1.5664 | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138} |
| 0.0049 | 542.0 | 181570 | 1.7383 | {'f1': 0.875875238701464} | {'accuracy': 0.8130393096836049} |
| 0.0049 | 543.0 | 181905 | 1.5475 | {'f1': 0.8806262230919765} | {'accuracy': 0.8245445829338447} |
| 0.0051 | 544.0 | 182240 | 1.6891 | {'f1': 0.8818998716302953} | {'accuracy': 0.8235858101629914} |
| 0.0041 | 545.0 | 182575 | 1.5626 | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0041 | 546.0 | 182910 | 1.6650 | {'f1': 0.8801546391752577} | {'accuracy': 0.8216682646212847} |
| 0.0046 | 547.0 | 183245 | 1.6727 | {'f1': 0.880722114764668} | {'accuracy': 0.822627037392138} |
| 0.0067 | 548.0 | 183580 | 1.5603 | {'f1': 0.8784313725490197} | {'accuracy': 0.8216682646212847} |
| 0.0067 | 549.0 | 183915 | 1.6787 | {'f1': 0.881859264041317} | {'accuracy': 0.8245445829338447} |
| 0.0035 | 550.0 | 184250 | 1.5408 | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.0097 | 551.0 | 184585 | 1.5098 | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0097 | 552.0 | 184920 | 1.5416 | {'f1': 0.8806262230919765} | {'accuracy': 0.8245445829338447} |
| 0.0064 | 553.0 | 185255 | 1.7427 | {'f1': 0.8736507936507937} | {'accuracy': 0.8092042186001918} |
| 0.0083 | 554.0 | 185590 | 1.4818 | {'f1': 0.8797385620915033} | {'accuracy': 0.8235858101629914} |
| 0.0083 | 555.0 | 185925 | 1.5257 | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698} |
| 0.0067 | 556.0 | 186260 | 1.4460 | {'f1': 0.8837820091923834} | {'accuracy': 0.8302972195589645} |
| 0.0083 | 557.0 | 186595 | 1.5127 | {'f1': 0.8786885245901639} | {'accuracy': 0.822627037392138} |
| 0.0083 | 558.0 | 186930 | 1.6163 | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138} |
| 0.0047 | 559.0 | 187265 | 1.5008 | {'f1': 0.8865435356200528} | {'accuracy': 0.835091083413231} |
| 0.0053 | 560.0 | 187600 | 1.5135 | {'f1': 0.8858085808580859} | {'accuracy': 0.8341323106423778} |
| 0.0053 | 561.0 | 187935 | 1.5165 | {'f1': 0.8821989528795812} | {'accuracy': 0.8274209012464045} |
| 0.0087 | 562.0 | 188270 | 1.5569 | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698} |
| 0.007 | 563.0 | 188605 | 1.4532 | {'f1': 0.8821593153390389} | {'accuracy': 0.8283796740172579} |
| 0.007 | 564.0 | 188940 | 1.4890 | {'f1': 0.8850726552179656} | {'accuracy': 0.8331735378715245} |
| 0.004 | 565.0 | 189275 | 1.5723 | {'f1': 0.8861418347430059} | {'accuracy': 0.8322147651006712} |
| 0.0075 | 566.0 | 189610 | 1.5125 | {'f1': 0.8858267716535433} | {'accuracy': 0.8331735378715245} |
| 0.0075 | 567.0 | 189945 | 1.6625 | {'f1': 0.8802049967969251} | {'accuracy': 0.8207094918504314} |
| 0.0049 | 568.0 | 190280 | 1.5940 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.006 | 569.0 | 190615 | 1.6085 | {'f1': 0.8822768434670116} | {'accuracy': 0.825503355704698} |
| 0.006 | 570.0 | 190950 | 1.4933 | {'f1': 0.8833551769331585} | {'accuracy': 0.8293384467881112} |
| 0.0047 | 571.0 | 191285 | 1.5427 | {'f1': 0.8878688524590164} | {'accuracy': 0.8360498561840843} |
| 0.0066 | 572.0 | 191620 | 1.6111 | {'f1': 0.8827319587628866} | {'accuracy': 0.825503355704698} |
| 0.0066 | 573.0 | 191955 | 1.4664 | {'f1': 0.8866930171277998} | {'accuracy': 0.835091083413231} |
| 0.0069 | 574.0 | 192290 | 1.5405 | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0085 | 575.0 | 192625 | 1.5603 | {'f1': 0.881201044386423} | {'accuracy': 0.825503355704698} |
| 0.0085 | 576.0 | 192960 | 1.6009 | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0044 | 577.0 | 193295 | 1.5765 | {'f1': 0.8825065274151437} | {'accuracy': 0.8274209012464045} |
| 0.006 | 578.0 | 193630 | 1.6543 | {'f1': 0.8817065287653523} | {'accuracy': 0.8245445829338447} |
| 0.006 | 579.0 | 193965 | 1.6021 | {'f1': 0.8802588996763754} | {'accuracy': 0.822627037392138} |
| 0.0066 | 580.0 | 194300 | 1.6881 | {'f1': 0.8773946360153257} | {'accuracy': 0.8159156279961649} |
| 0.0076 | 581.0 | 194635 | 1.4859 | {'f1': 0.886829913964262} | {'accuracy': 0.8360498561840843} |
| 0.0076 | 582.0 | 194970 | 1.4807 | {'f1': 0.8836291913214991} | {'accuracy': 0.8302972195589645} |
| 0.0081 | 583.0 | 195305 | 1.5842 | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0088 | 584.0 | 195640 | 1.5026 | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.0088 | 585.0 | 195975 | 1.5329 | {'f1': 0.8872964169381107} | {'accuracy': 0.8341323106423778} |
| 0.0022 | 586.0 | 196310 | 1.7231 | {'f1': 0.8787301587301588} | {'accuracy': 0.8168744007670182} |
| 0.0097 | 587.0 | 196645 | 1.5368 | {'f1': 0.8837209302325582} | {'accuracy': 0.8274209012464045} |
| 0.0097 | 588.0 | 196980 | 1.6242 | {'f1': 0.8833010960670536} | {'accuracy': 0.8264621284755513} |
| 0.0028 | 589.0 | 197315 | 1.5300 | {'f1': 0.8875816993464052} | {'accuracy': 0.835091083413231} |
| 0.0033 | 590.0 | 197650 | 1.6450 | {'f1': 0.8793324775353017} | {'accuracy': 0.8197507190795782} |
| 0.0033 | 591.0 | 197985 | 1.5715 | {'f1': 0.8793324775353017} | {'accuracy': 0.8197507190795782} |
| 0.0089 | 592.0 | 198320 | 1.5802 | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0024 | 593.0 | 198655 | 1.5816 | {'f1': 0.8771929824561404} | {'accuracy': 0.8187919463087249} |
| 0.0024 | 594.0 | 198990 | 1.5100 | {'f1': 0.8836291913214991} | {'accuracy': 0.8302972195589645} |
| 0.0066 | 595.0 | 199325 | 1.5332 | {'f1': 0.8897637795275591} | {'accuracy': 0.8389261744966443} |
| 0.0025 | 596.0 | 199660 | 1.5607 | {'f1': 0.8856767411300921} | {'accuracy': 0.8331735378715245} |
| 0.0025 | 597.0 | 199995 | 1.6592 | {'f1': 0.8820116054158607} | {'accuracy': 0.8245445829338447} |
| 0.0054 | 598.0 | 200330 | 1.4389 | {'f1': 0.8843626806833115} | {'accuracy': 0.8312559923298178} |
| 0.0085 | 599.0 | 200665 | 1.5571 | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698} |
| 0.0056 | 600.0 | 201000 | 1.5473 | {'f1': 0.88671875} | {'accuracy': 0.8331735378715245} |
| 0.0056 | 601.0 | 201335 | 1.5260 | {'f1': 0.8840579710144927} | {'accuracy': 0.8312559923298178} |
| 0.0028 | 602.0 | 201670 | 1.6108 | {'f1': 0.8852672750977836} | {'accuracy': 0.8312559923298178} |
| 0.0043 | 603.0 | 202005 | 1.6212 | {'f1': 0.8830829523187459} | {'accuracy': 0.8283796740172579} |
| 0.0043 | 604.0 | 202340 | 1.5834 | {'f1': 0.8829300196206671} | {'accuracy': 0.8283796740172579} |
| 0.0061 | 605.0 | 202675 | 1.6756 | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698} |
| 0.003 | 606.0 | 203010 | 1.7325 | {'f1': 0.8796895213454075} | {'accuracy': 0.8216682646212847} |
| 0.003 | 607.0 | 203345 | 1.5822 | {'f1': 0.8846153846153847} | {'accuracy': 0.8331735378715245} |
| 0.0041 | 608.0 | 203680 | 1.5585 | {'f1': 0.8856382978723404} | {'accuracy': 0.835091083413231} |
| 0.0047 | 609.0 | 204015 | 1.7206 | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0047 | 610.0 | 204350 | 1.6442 | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0041 | 611.0 | 204685 | 1.6960 | {'f1': 0.88296488946684} | {'accuracy': 0.8274209012464045} |
| 0.0052 | 612.0 | 205020 | 1.6414 | {'f1': 0.8836291913214991} | {'accuracy': 0.8302972195589645} |
| 0.0052 | 613.0 | 205355 | 1.5995 | {'f1': 0.8820445609436436} | {'accuracy': 0.8274209012464045} |
| 0.0079 | 614.0 | 205690 | 1.5441 | {'f1': 0.8846657929226737} | {'accuracy': 0.8312559923298178} |
| 0.0067 | 615.0 | 206025 | 1.5942 | {'f1': 0.8852672750977836} | {'accuracy': 0.8312559923298178} |
| 0.0067 | 616.0 | 206360 | 1.7989 | {'f1': 0.8775510204081634} | {'accuracy': 0.8159156279961649} |
| 0.0037 | 617.0 | 206695 | 1.5977 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0084 | 618.0 | 207030 | 1.5557 | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0084 | 619.0 | 207365 | 1.4929 | {'f1': 0.8815789473684211} | {'accuracy': 0.8274209012464045} |
| 0.0079 | 620.0 | 207700 | 1.6609 | {'f1': 0.8778920308483289} | {'accuracy': 0.8178331735378715} |
| 0.006 | 621.0 | 208035 | 1.6334 | {'f1': 0.880103694102398} | {'accuracy': 0.822627037392138} |
| 0.006 | 622.0 | 208370 | 1.5635 | {'f1': 0.8832354859752121} | {'accuracy': 0.8283796740172579} |
| 0.0053 | 623.0 | 208705 | 1.5781 | {'f1': 0.8842380640941793} | {'accuracy': 0.8302972195589645} |
| 0.004 | 624.0 | 209040 | 1.6173 | {'f1': 0.8819308545335943} | {'accuracy': 0.8264621284755513} |
| 0.004 | 625.0 | 209375 | 1.4919 | {'f1': 0.8837209302325582} | {'accuracy': 0.8322147651006712} |
| 0.0044 | 626.0 | 209710 | 1.6378 | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.0051 | 627.0 | 210045 | 1.5833 | {'f1': 0.8797385620915033} | {'accuracy': 0.8235858101629914} |
| 0.0051 | 628.0 | 210380 | 1.5721 | {'f1': 0.8818897637795275} | {'accuracy': 0.8274209012464045} |
| 0.0031 | 629.0 | 210715 | 1.6291 | {'f1': 0.8784925276153347} | {'accuracy': 0.8207094918504314} |
| 0.0047 | 630.0 | 211050 | 1.6298 | {'f1': 0.8760545100584036} | {'accuracy': 0.8168744007670182} |
| 0.0047 | 631.0 | 211385 | 1.7736 | {'f1': 0.8745198463508322} | {'accuracy': 0.8120805369127517} |
| 0.003 | 632.0 | 211720 | 1.5395 | {'f1': 0.877284595300261} | {'accuracy': 0.8197507190795782} |
| 0.0076 | 633.0 | 212055 | 1.6973 | {'f1': 0.876765083440308} | {'accuracy': 0.8159156279961649} |
| 0.0076 | 634.0 | 212390 | 1.7115 | {'f1': 0.8766773162939298} | {'accuracy': 0.8149568552253116} |
| 0.0056 | 635.0 | 212725 | 1.5547 | {'f1': 0.8761408083441983} | {'accuracy': 0.8178331735378715} |
| 0.0053 | 636.0 | 213060 | 1.6427 | {'f1': 0.874025974025974} | {'accuracy': 0.8139980824544583} |
| 0.0053 | 637.0 | 213395 | 1.5879 | {'f1': 0.8758169934640523} | {'accuracy': 0.8178331735378715} |
| 0.0057 | 638.0 | 213730 | 1.6224 | {'f1': 0.877124183006536} | {'accuracy': 0.8197507190795782} |
| 0.0034 | 639.0 | 214065 | 1.6183 | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.0034 | 640.0 | 214400 | 1.5877 | {'f1': 0.8855263157894737} | {'accuracy': 0.8331735378715245} |
| 0.0089 | 641.0 | 214735 | 1.6350 | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.0038 | 642.0 | 215070 | 1.6359 | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.0038 | 643.0 | 215405 | 1.6574 | {'f1': 0.8774193548387096} | {'accuracy': 0.8178331735378715} |
| 0.008 | 644.0 | 215740 | 1.4812 | {'f1': 0.885396201702685} | {'accuracy': 0.8322147651006712} |
| 0.0077 | 645.0 | 216075 | 1.4037 | {'f1': 0.8903566710700133} | {'accuracy': 0.840843720038351} |
| 0.0077 | 646.0 | 216410 | 1.4159 | {'f1': 0.8861092824226466} | {'accuracy': 0.8341323106423778} |
| 0.0034 | 647.0 | 216745 | 1.4374 | {'f1': 0.8847682119205298} | {'accuracy': 0.8331735378715245} |
| 0.0051 | 648.0 | 217080 | 1.4659 | {'f1': 0.8880105401844532} | {'accuracy': 0.8370086289549377} |
| 0.0051 | 649.0 | 217415 | 1.5300 | {'f1': 0.8836601307189542} | {'accuracy': 0.8293384467881112} |
| 0.0041 | 650.0 | 217750 | 1.4884 | {'f1': 0.8855263157894737} | {'accuracy': 0.8331735378715245} |
| 0.0048 | 651.0 | 218085 | 1.5347 | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.0048 | 652.0 | 218420 | 1.5155 | {'f1': 0.8861256544502618} | {'accuracy': 0.8331735378715245} |
| 0.0051 | 653.0 | 218755 | 1.5072 | {'f1': 0.8852459016393444} | {'accuracy': 0.8322147651006712} |
| 0.0066 | 654.0 | 219090 | 1.5471 | {'f1': 0.8841423948220065} | {'accuracy': 0.8283796740172579} |
| 0.0066 | 655.0 | 219425 | 1.6866 | {'f1': 0.8786127167630058} | {'accuracy': 0.8187919463087249} |
| 0.0028 | 656.0 | 219760 | 1.5781 | {'f1': 0.8847435043304464} | {'accuracy': 0.8341323106423778} |
| 0.0051 | 657.0 | 220095 | 1.6018 | {'f1': 0.8841423948220065} | {'accuracy': 0.8283796740172579} |
| 0.0051 | 658.0 | 220430 | 1.6007 | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.0034 | 659.0 | 220765 | 1.6493 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0035 | 660.0 | 221100 | 1.6292 | {'f1': 0.8790058862001309} | {'accuracy': 0.822627037392138} |
| 0.0035 | 661.0 | 221435 | 1.6268 | {'f1': 0.8816920026437541} | {'accuracy': 0.8283796740172579} |
| 0.0043 | 662.0 | 221770 | 1.7202 | {'f1': 0.8806161745827985} | {'accuracy': 0.8216682646212847} |
| 0.0044 | 663.0 | 222105 | 1.7276 | {'f1': 0.8800513149454778} | {'accuracy': 0.8207094918504314} |
| 0.0044 | 664.0 | 222440 | 1.6725 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.0045 | 665.0 | 222775 | 1.5903 | {'f1': 0.8805280528052805} | {'accuracy': 0.8264621284755513} |
| 0.0033 | 666.0 | 223110 | 1.6448 | {'f1': 0.881311475409836} | {'accuracy': 0.8264621284755513} |
| 0.0033 | 667.0 | 223445 | 1.6078 | {'f1': 0.8812664907651715} | {'accuracy': 0.8274209012464045} |
| 0.0052 | 668.0 | 223780 | 1.8698 | {'f1': 0.8759493670886076} | {'accuracy': 0.8120805369127517} |
| 0.0056 | 669.0 | 224115 | 1.6594 | {'f1': 0.8777633289986997} | {'accuracy': 0.8197507190795782} |
| 0.0056 | 670.0 | 224450 | 1.7666 | {'f1': 0.8767471410419314} | {'accuracy': 0.8139980824544583} |
| 0.0048 | 671.0 | 224785 | 1.5940 | {'f1': 0.883289124668435} | {'accuracy': 0.8312559923298178} |
| 0.0044 | 672.0 | 225120 | 1.6732 | {'f1': 0.881664499349805} | {'accuracy': 0.825503355704698} |
| 0.0044 | 673.0 | 225455 | 1.5838 | {'f1': 0.88433575677462} | {'accuracy': 0.8322147651006712} |
| 0.0037 | 674.0 | 225790 | 1.7817 | {'f1': 0.8753180661577609} | {'accuracy': 0.8120805369127517} |
| 0.0058 | 675.0 | 226125 | 1.6803 | {'f1': 0.8810289389067525} | {'accuracy': 0.822627037392138} |
| 0.0058 | 676.0 | 226460 | 1.6020 | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0046 | 677.0 | 226795 | 1.6947 | {'f1': 0.8815958815958816} | {'accuracy': 0.8235858101629914} |
| 0.0015 | 678.0 | 227130 | 1.6027 | {'f1': 0.8814229249011858} | {'accuracy': 0.8274209012464045} |
| 0.0015 | 679.0 | 227465 | 1.6842 | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0035 | 680.0 | 227800 | 1.7749 | {'f1': 0.8734015345268541} | {'accuracy': 0.8101629913710451} |
| 0.0071 | 681.0 | 228135 | 1.6325 | {'f1': 0.8792650918635171} | {'accuracy': 0.8235858101629914} |
| 0.0071 | 682.0 | 228470 | 1.6693 | {'f1': 0.8817766165904638} | {'accuracy': 0.8264621284755513} |
| 0.0031 | 683.0 | 228805 | 1.7287 | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0051 | 684.0 | 229140 | 1.6958 | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0051 | 685.0 | 229475 | 1.7540 | {'f1': 0.8760436737315349} | {'accuracy': 0.8149568552253116} |
| 0.0033 | 686.0 | 229810 | 1.6853 | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.009 | 687.0 | 230145 | 1.5281 | {'f1': 0.8827037773359842} | {'accuracy': 0.8302972195589645} |
| 0.009 | 688.0 | 230480 | 1.6425 | {'f1': 0.8807817589576548} | {'accuracy': 0.8245445829338447} |
| 0.005 | 689.0 | 230815 | 1.6769 | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0035 | 690.0 | 231150 | 1.7624 | {'f1': 0.8817065287653523} | {'accuracy': 0.8245445829338447} |
| 0.0035 | 691.0 | 231485 | 1.7393 | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0048 | 692.0 | 231820 | 1.7047 | {'f1': 0.8832354859752121} | {'accuracy': 0.8283796740172579} |
| 0.0027 | 693.0 | 232155 | 1.6658 | {'f1': 0.8846657929226737} | {'accuracy': 0.8312559923298178} |
| 0.0027 | 694.0 | 232490 | 1.8153 | {'f1': 0.8800513149454778} | {'accuracy': 0.8207094918504314} |
| 0.0027 | 695.0 | 232825 | 1.6971 | {'f1': 0.8807817589576548} | {'accuracy': 0.8245445829338447} |
| 0.006 | 696.0 | 233160 | 1.7047 | {'f1': 0.8825806451612904} | {'accuracy': 0.825503355704698} |
| 0.006 | 697.0 | 233495 | 1.7104 | {'f1': 0.8778280542986426} | {'accuracy': 0.8187919463087249} |
| 0.0051 | 698.0 | 233830 | 1.7271 | {'f1': 0.8773281952472703} | {'accuracy': 0.8168744007670182} |
| 0.0058 | 699.0 | 234165 | 1.5991 | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0041 | 700.0 | 234500 | 1.5880 | {'f1': 0.8871287128712871} | {'accuracy': 0.8360498561840843} |
| 0.0041 | 701.0 | 234835 | 1.6696 | {'f1': 0.8830829523187459} | {'accuracy': 0.8283796740172579} |
| 0.0054 | 702.0 | 235170 | 1.5805 | {'f1': 0.8834759710335748} | {'accuracy': 0.8302972195589645} |
| 0.0048 | 703.0 | 235505 | 1.7371 | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138} |
| 0.0048 | 704.0 | 235840 | 1.6335 | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.008 | 705.0 | 236175 | 1.5429 | {'f1': 0.8880157170923381} | {'accuracy': 0.8360498561840843} |
| 0.0072 | 706.0 | 236510 | 1.5920 | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138} |
| 0.0072 | 707.0 | 236845 | 1.6666 | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.005 | 708.0 | 237180 | 1.5701 | {'f1': 0.8830829523187459} | {'accuracy': 0.8283796740172579} |
| 0.0024 | 709.0 | 237515 | 1.5638 | {'f1': 0.8824688115561392} | {'accuracy': 0.8283796740172579} |
| 0.0024 | 710.0 | 237850 | 1.6545 | {'f1': 0.8796356538711776} | {'accuracy': 0.822627037392138} |
| 0.0022 | 711.0 | 238185 | 1.5872 | {'f1': 0.8821593153390389} | {'accuracy': 0.8283796740172579} |
| 0.0063 | 712.0 | 238520 | 1.4602 | {'f1': 0.8839704896042924} | {'accuracy': 0.8341323106423778} |
| 0.0063 | 713.0 | 238855 | 1.7557 | {'f1': 0.8793324775353017} | {'accuracy': 0.8197507190795782} |
| 0.0051 | 714.0 | 239190 | 1.5571 | {'f1': 0.8828125} | {'accuracy': 0.8274209012464045} |
| 0.0071 | 715.0 | 239525 | 1.5071 | {'f1': 0.8847926267281107} | {'accuracy': 0.8322147651006712} |
| 0.0071 | 716.0 | 239860 | 1.5371 | {'f1': 0.8842380640941793} | {'accuracy': 0.8302972195589645} |
| 0.0032 | 717.0 | 240195 | 1.6400 | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0039 | 718.0 | 240530 | 1.5848 | {'f1': 0.8836601307189542} | {'accuracy': 0.8293384467881112} |
| 0.0039 | 719.0 | 240865 | 1.5865 | {'f1': 0.8877216021011162} | {'accuracy': 0.8360498561840843} |
| 0.0027 | 720.0 | 241200 | 1.5462 | {'f1': 0.8862115127175368} | {'accuracy': 0.8370086289549377} |
| 0.0039 | 721.0 | 241535 | 1.6690 | {'f1': 0.8858267716535433} | {'accuracy': 0.8331735378715245} |
| 0.0039 | 722.0 | 241870 | 1.7565 | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.0024 | 723.0 | 242205 | 1.6705 | {'f1': 0.8844884488448844} | {'accuracy': 0.8322147651006712} |
| 0.0058 | 724.0 | 242540 | 1.7562 | {'f1': 0.8804137039431158} | {'accuracy': 0.822627037392138} |
| 0.0058 | 725.0 | 242875 | 1.7151 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0046 | 726.0 | 243210 | 1.7525 | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.003 | 727.0 | 243545 | 1.7908 | {'f1': 0.8814432989690721} | {'accuracy': 0.8235858101629914} |
| 0.003 | 728.0 | 243880 | 1.7585 | {'f1': 0.8798972382787411} | {'accuracy': 0.8207094918504314} |
| 0.0078 | 729.0 | 244215 | 1.6461 | {'f1': 0.8808900523560209} | {'accuracy': 0.825503355704698} |
| 0.0055 | 730.0 | 244550 | 1.8172 | {'f1': 0.8753213367609254} | {'accuracy': 0.8139980824544583} |
| 0.0055 | 731.0 | 244885 | 1.7606 | {'f1': 0.8777991042866283} | {'accuracy': 0.8168744007670182} |
| 0.0069 | 732.0 | 245220 | 1.6387 | {'f1': 0.877284595300261} | {'accuracy': 0.8197507190795782} |
| 0.0035 | 733.0 | 245555 | 1.6955 | {'f1': 0.8787483702737942} | {'accuracy': 0.8216682646212847} |
| 0.0035 | 734.0 | 245890 | 1.5542 | {'f1': 0.8819628647214854} | {'accuracy': 0.8293384467881112} |
| 0.0062 | 735.0 | 246225 | 1.5837 | {'f1': 0.8787483702737942} | {'accuracy': 0.8216682646212847} |
| 0.0042 | 736.0 | 246560 | 1.5991 | {'f1': 0.881201044386423} | {'accuracy': 0.825503355704698} |
| 0.0042 | 737.0 | 246895 | 1.5077 | {'f1': 0.8878566688785668} | {'accuracy': 0.837967401725791} |
| 0.0051 | 738.0 | 247230 | 1.6261 | {'f1': 0.8832354859752121} | {'accuracy': 0.8283796740172579} |
| 0.0049 | 739.0 | 247565 | 1.7079 | {'f1': 0.8785529715762274} | {'accuracy': 0.8197507190795782} |
| 0.0049 | 740.0 | 247900 | 1.5703 | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.0071 | 741.0 | 248235 | 1.5480 | {'f1': 0.8817766165904638} | {'accuracy': 0.8264621284755513} |
| 0.0043 | 742.0 | 248570 | 1.5021 | {'f1': 0.8823529411764706} | {'accuracy': 0.8274209012464045} |
| 0.0043 | 743.0 | 248905 | 1.6375 | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0023 | 744.0 | 249240 | 1.4291 | {'f1': 0.8847926267281107} | {'accuracy': 0.8322147651006712} |
| 0.0066 | 745.0 | 249575 | 1.5330 | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698} |
| 0.0066 | 746.0 | 249910 | 1.4237 | {'f1': 0.8823529411764706} | {'accuracy': 0.8274209012464045} |
| 0.0067 | 747.0 | 250245 | 1.3874 | {'f1': 0.883289124668435} | {'accuracy': 0.8312559923298178} |
| 0.0034 | 748.0 | 250580 | 1.4532 | {'f1': 0.8837209302325582} | {'accuracy': 0.8322147651006712} |
| 0.0034 | 749.0 | 250915 | 1.4834 | {'f1': 0.881201044386423} | {'accuracy': 0.825503355704698} |
| 0.0034 | 750.0 | 251250 | 1.5196 | {'f1': 0.8796356538711776} | {'accuracy': 0.822627037392138} |
| 0.0034 | 751.0 | 251585 | 1.5726 | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698} |
| 0.0034 | 752.0 | 251920 | 1.5491 | {'f1': 0.8801571709233792} | {'accuracy': 0.8245445829338447} |
| 0.0042 | 753.0 | 252255 | 1.4986 | {'f1': 0.8792079207920793} | {'accuracy': 0.8245445829338447} |
| 0.0045 | 754.0 | 252590 | 1.4673 | {'f1': 0.8822751322751322} | {'accuracy': 0.8293384467881112} |
| 0.0045 | 755.0 | 252925 | 1.5067 | {'f1': 0.8797886393659181} | {'accuracy': 0.825503355704698} |
| 0.0058 | 756.0 | 253260 | 1.6951 | {'f1': 0.8775773195876289} | {'accuracy': 0.8178331735378715} |
| 0.0052 | 757.0 | 253595 | 1.5915 | {'f1': 0.8787483702737942} | {'accuracy': 0.8216682646212847} |
| 0.0052 | 758.0 | 253930 | 1.5778 | {'f1': 0.8820039551746869} | {'accuracy': 0.8283796740172579} |
| 0.0032 | 759.0 | 254265 | 1.6840 | {'f1': 0.8763754045307444} | {'accuracy': 0.8168744007670182} |
| 0.0058 | 760.0 | 254600 | 1.5173 | {'f1': 0.881491344873502} | {'accuracy': 0.8293384467881112} |
| 0.0058 | 761.0 | 254935 | 1.5686 | {'f1': 0.8847926267281107} | {'accuracy': 0.8322147651006712} |
| 0.0033 | 762.0 | 255270 | 1.7293 | {'f1': 0.8760436737315349} | {'accuracy': 0.8149568552253116} |
| 0.0031 | 763.0 | 255605 | 1.7252 | {'f1': 0.876943005181347} | {'accuracy': 0.8178331735378715} |
| 0.0031 | 764.0 | 255940 | 1.7134 | {'f1': 0.8782383419689119} | {'accuracy': 0.8197507190795782} |
| 0.005 | 765.0 | 256275 | 1.6881 | {'f1': 0.8771021992238034} | {'accuracy': 0.8178331735378715} |
| 0.0037 | 766.0 | 256610 | 1.5824 | {'f1': 0.8814669286182057} | {'accuracy': 0.8264621284755513} |
| 0.0037 | 767.0 | 256945 | 1.6678 | {'f1': 0.8792207792207791} | {'accuracy': 0.8216682646212847} |
| 0.0032 | 768.0 | 257280 | 1.6520 | {'f1': 0.8811369509043928} | {'accuracy': 0.8235858101629914} |
| 0.0033 | 769.0 | 257615 | 1.5788 | {'f1': 0.8794788273615636} | {'accuracy': 0.822627037392138} |
| 0.0033 | 770.0 | 257950 | 1.7073 | {'f1': 0.8781431334622825} | {'accuracy': 0.8187919463087249} |
| 0.0064 | 771.0 | 258285 | 1.5705 | {'f1': 0.8825857519788918} | {'accuracy': 0.8293384467881112} |
| 0.0034 | 772.0 | 258620 | 1.7071 | {'f1': 0.8765352294764059} | {'accuracy': 0.8168744007670182} |
| 0.0034 | 773.0 | 258955 | 1.7116 | {'f1': 0.8775773195876289} | {'accuracy': 0.8178331735378715} |
| 0.0043 | 774.0 | 259290 | 1.6249 | {'f1': 0.877124183006536} | {'accuracy': 0.8197507190795782} |
| 0.0055 | 775.0 | 259625 | 1.5984 | {'f1': 0.8785900783289817} | {'accuracy': 0.8216682646212847} |
| 0.0055 | 776.0 | 259960 | 1.5935 | {'f1': 0.8800521512385918} | {'accuracy': 0.8235858101629914} |
| 0.0037 | 777.0 | 260295 | 1.5598 | {'f1': 0.8782093482554312} | {'accuracy': 0.822627037392138} |
| 0.0049 | 778.0 | 260630 | 1.5901 | {'f1': 0.8777923784494087} | {'accuracy': 0.8216682646212847} |
| 0.0049 | 779.0 | 260965 | 1.6492 | {'f1': 0.8767123287671234} | {'accuracy': 0.8187919463087249} |
| 0.0026 | 780.0 | 261300 | 1.7694 | {'f1': 0.8749198203976909} | {'accuracy': 0.8130393096836049} |
| 0.0054 | 781.0 | 261635 | 1.7149 | {'f1': 0.8748387096774194} | {'accuracy': 0.8139980824544583} |
| 0.0054 | 782.0 | 261970 | 1.6788 | {'f1': 0.875} | {'accuracy': 0.8159156279961649} |
| 0.0033 | 783.0 | 262305 | 1.7130 | {'f1': 0.8762151652624757} | {'accuracy': 0.8168744007670182} |
| 0.006 | 784.0 | 262640 | 1.5759 | {'f1': 0.8802117802779617} | {'accuracy': 0.8264621284755513} |
| 0.006 | 785.0 | 262975 | 1.6508 | {'f1': 0.8777633289986997} | {'accuracy': 0.8197507190795782} |
| 0.0031 | 786.0 | 263310 | 1.7313 | {'f1': 0.8755641521598968} | {'accuracy': 0.8149568552253116} |
| 0.0042 | 787.0 | 263645 | 1.6428 | {'f1': 0.8792650918635171} | {'accuracy': 0.8235858101629914} |
| 0.0042 | 788.0 | 263980 | 1.7532 | {'f1': 0.8788659793814433} | {'accuracy': 0.8197507190795782} |
| 0.0036 | 789.0 | 264315 | 1.7189 | {'f1': 0.8782383419689119} | {'accuracy': 0.8197507190795782} |
| 0.0048 | 790.0 | 264650 | 1.7035 | {'f1': 0.876943005181347} | {'accuracy': 0.8178331735378715} |
| 0.0048 | 791.0 | 264985 | 1.6092 | {'f1': 0.8788881535407015} | {'accuracy': 0.8245445829338447} |
| 0.0045 | 792.0 | 265320 | 1.6136 | {'f1': 0.8791500664010624} | {'accuracy': 0.825503355704698} |
| 0.0032 | 793.0 | 265655 | 1.6764 | {'f1': 0.8794233289646134} | {'accuracy': 0.8235858101629914} |
| 0.0032 | 794.0 | 265990 | 1.8102 | {'f1': 0.8770122343850613} | {'accuracy': 0.8168744007670182} |
| 0.0048 | 795.0 | 266325 | 1.7445 | {'f1': 0.8776041666666666} | {'accuracy': 0.8197507190795782} |
| 0.004 | 796.0 | 266660 | 1.7284 | {'f1': 0.8762278978388998} | {'accuracy': 0.8187919463087249} |
| 0.004 | 797.0 | 266995 | 1.8343 | {'f1': 0.8733850129198967} | {'accuracy': 0.8120805369127517} |
| 0.0039 | 798.0 | 267330 | 1.8077 | {'f1': 0.8711974110032363} | {'accuracy': 0.8092042186001918} |
| 0.0026 | 799.0 | 267665 | 1.8041 | {'f1': 0.8721609344581441} | {'accuracy': 0.8111217641418984} |
| 0.0032 | 800.0 | 268000 | 1.7025 | {'f1': 0.8786885245901639} | {'accuracy': 0.822627037392138} |
| 0.0032 | 801.0 | 268335 | 1.7495 | {'f1': 0.8763020833333333} | {'accuracy': 0.8178331735378715} |
| 0.0058 | 802.0 | 268670 | 1.7034 | {'f1': 0.8788474132285528} | {'accuracy': 0.822627037392138} |
| 0.0028 | 803.0 | 269005 | 1.7309 | {'f1': 0.8806262230919765} | {'accuracy': 0.8245445829338447} |
| 0.0028 | 804.0 | 269340 | 1.7222 | {'f1': 0.8797920727745288} | {'accuracy': 0.822627037392138} |
| 0.0033 | 805.0 | 269675 | 1.6105 | {'f1': 0.8781127129750983} | {'accuracy': 0.8216682646212847} |
| 0.0043 | 806.0 | 270010 | 1.6209 | {'f1': 0.8791064388961892} | {'accuracy': 0.8235858101629914} |
| 0.0043 | 807.0 | 270345 | 1.7457 | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.0035 | 808.0 | 270680 | 1.8058 | {'f1': 0.8761290322580645} | {'accuracy': 0.8159156279961649} |
| 0.0027 | 809.0 | 271015 | 1.8286 | {'f1': 0.8741976893453146} | {'accuracy': 0.8120805369127517} |
| 0.0027 | 810.0 | 271350 | 1.7140 | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.0029 | 811.0 | 271685 | 1.6997 | {'f1': 0.8820445609436436} | {'accuracy': 0.8274209012464045} |
| 0.004 | 812.0 | 272020 | 1.7859 | {'f1': 0.8779857972885732} | {'accuracy': 0.8187919463087249} |
| 0.004 | 813.0 | 272355 | 1.8436 | {'f1': 0.8741976893453146} | {'accuracy': 0.8120805369127517} |
| 0.0031 | 814.0 | 272690 | 1.7848 | {'f1': 0.8745148771021992} | {'accuracy': 0.8139980824544583} |
| 0.0043 | 815.0 | 273025 | 1.8718 | {'f1': 0.872680742162508} | {'accuracy': 0.8092042186001918} |
| 0.0043 | 816.0 | 273360 | 1.6951 | {'f1': 0.8808900523560209} | {'accuracy': 0.825503355704698} |
| 0.0034 | 817.0 | 273695 | 1.7584 | {'f1': 0.880103694102398} | {'accuracy': 0.822627037392138} |
| 0.003 | 818.0 | 274030 | 1.6783 | {'f1': 0.8821192052980134} | {'accuracy': 0.8293384467881112} |
| 0.003 | 819.0 | 274365 | 1.7632 | {'f1': 0.8792207792207791} | {'accuracy': 0.8216682646212847} |
| 0.0028 | 820.0 | 274700 | 1.6914 | {'f1': 0.8820039551746869} | {'accuracy': 0.8283796740172579} |
| 0.0064 | 821.0 | 275035 | 1.7082 | {'f1': 0.8768729641693811} | {'accuracy': 0.8187919463087249} |
| 0.0064 | 822.0 | 275370 | 1.6736 | {'f1': 0.88} | {'accuracy': 0.8245445829338447} |
| 0.004 | 823.0 | 275705 | 1.6481 | {'f1': 0.880842659644503} | {'accuracy': 0.8264621284755513} |
| 0.0041 | 824.0 | 276040 | 1.6841 | {'f1': 0.8806262230919765} | {'accuracy': 0.8245445829338447} |
| 0.0041 | 825.0 | 276375 | 1.7816 | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.0028 | 826.0 | 276710 | 1.6381 | {'f1': 0.8811556139198949} | {'accuracy': 0.8264621284755513} |
| 0.0046 | 827.0 | 277045 | 1.6258 | {'f1': 0.8803139306736429} | {'accuracy': 0.8245445829338447} |
| 0.0046 | 828.0 | 277380 | 1.5245 | {'f1': 0.8837516512549538} | {'accuracy': 0.8312559923298178} |
| 0.0064 | 829.0 | 277715 | 1.6464 | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.0013 | 830.0 | 278050 | 1.5779 | {'f1': 0.8834437086092717} | {'accuracy': 0.8312559923298178} |
| 0.0013 | 831.0 | 278385 | 1.7291 | {'f1': 0.8779857972885732} | {'accuracy': 0.8187919463087249} |
| 0.0035 | 832.0 | 278720 | 1.6297 | {'f1': 0.8817345597897503} | {'accuracy': 0.8274209012464045} |
| 0.0036 | 833.0 | 279055 | 1.5615 | {'f1': 0.8860927152317881} | {'accuracy': 0.835091083413231} |
| 0.0036 | 834.0 | 279390 | 1.7254 | {'f1': 0.8763613068545804} | {'accuracy': 0.8149568552253116} |
| 0.0066 | 835.0 | 279725 | 1.5162 | {'f1': 0.8843085106382979} | {'accuracy': 0.8331735378715245} |
| 0.0025 | 836.0 | 280060 | 1.5393 | {'f1': 0.8847682119205298} | {'accuracy': 0.8331735378715245} |
| 0.0025 | 837.0 | 280395 | 1.6011 | {'f1': 0.8825857519788918} | {'accuracy': 0.8293384467881112} |
| 0.0047 | 838.0 | 280730 | 1.7815 | {'f1': 0.8778920308483289} | {'accuracy': 0.8178331735378715} |
| 0.0069 | 839.0 | 281065 | 1.6868 | {'f1': 0.8778280542986426} | {'accuracy': 0.8187919463087249} |
| 0.0069 | 840.0 | 281400 | 1.6110 | {'f1': 0.8790058862001309} | {'accuracy': 0.822627037392138} |
| 0.0057 | 841.0 | 281735 | 1.7266 | {'f1': 0.8741123305358297} | {'accuracy': 0.8130393096836049} |
| 0.0023 | 842.0 | 282070 | 1.5071 | {'f1': 0.8852023888520238} | {'accuracy': 0.8341323106423778} |
| 0.0023 | 843.0 | 282405 | 1.6223 | {'f1': 0.8801571709233792} | {'accuracy': 0.8245445829338447} |
| 0.0032 | 844.0 | 282740 | 1.5283 | {'f1': 0.8787878787878788} | {'accuracy': 0.8235858101629914} |
| 0.0065 | 845.0 | 283075 | 1.6950 | {'f1': 0.8765352294764059} | {'accuracy': 0.8168744007670182} |
| 0.0065 | 846.0 | 283410 | 1.5313 | {'f1': 0.8794788273615636} | {'accuracy': 0.822627037392138} |
| 0.0059 | 847.0 | 283745 | 1.5719 | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698} |
| 0.0023 | 848.0 | 284080 | 1.5461 | {'f1': 0.8833551769331585} | {'accuracy': 0.8293384467881112} |
| 0.0023 | 849.0 | 284415 | 1.6004 | {'f1': 0.88296488946684} | {'accuracy': 0.8274209012464045} |
| 0.0026 | 850.0 | 284750 | 1.6252 | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.0073 | 851.0 | 285085 | 1.5237 | {'f1': 0.8790058862001309} | {'accuracy': 0.822627037392138} |
| 0.0073 | 852.0 | 285420 | 1.5458 | {'f1': 0.879526003949967} | {'accuracy': 0.8245445829338447} |
| 0.0037 | 853.0 | 285755 | 1.5439 | {'f1': 0.8796844181459565} | {'accuracy': 0.8245445829338447} |
| 0.0028 | 854.0 | 286090 | 1.6754 | {'f1': 0.8766946417043254} | {'accuracy': 0.8168744007670182} |
| 0.0028 | 855.0 | 286425 | 1.5802 | {'f1': 0.8765676567656766} | {'accuracy': 0.8207094918504314} |
| 0.0024 | 856.0 | 286760 | 1.5366 | {'f1': 0.879526003949967} | {'accuracy': 0.8245445829338447} |
| 0.0082 | 857.0 | 287095 | 1.5267 | {'f1': 0.8787276341948311} | {'accuracy': 0.8245445829338447} |
| 0.0082 | 858.0 | 287430 | 1.6491 | {'f1': 0.8794326241134752} | {'accuracy': 0.8207094918504314} |
| 0.0034 | 859.0 | 287765 | 1.5808 | {'f1': 0.8795811518324608} | {'accuracy': 0.8235858101629914} |
| 0.0062 | 860.0 | 288100 | 1.5517 | {'f1': 0.8780169602087411} | {'accuracy': 0.8207094918504314} |
| 0.0062 | 861.0 | 288435 | 1.5949 | {'f1': 0.8791208791208791} | {'accuracy': 0.8207094918504314} |
| 0.0018 | 862.0 | 288770 | 1.5440 | {'f1': 0.8823529411764706} | {'accuracy': 0.8274209012464045} |
| 0.0049 | 863.0 | 289105 | 1.4895 | {'f1': 0.8811556139198949} | {'accuracy': 0.8264621284755513} |
| 0.0049 | 864.0 | 289440 | 1.5049 | {'f1': 0.8863936591809775} | {'accuracy': 0.835091083413231} |
| 0.0026 | 865.0 | 289775 | 1.5587 | {'f1': 0.8808900523560209} | {'accuracy': 0.825503355704698} |
| 0.0039 | 866.0 | 290110 | 1.5543 | {'f1': 0.8818897637795275} | {'accuracy': 0.8274209012464045} |
| 0.0039 | 867.0 | 290445 | 1.6776 | {'f1': 0.8785529715762274} | {'accuracy': 0.8197507190795782} |
| 0.0038 | 868.0 | 290780 | 1.5554 | {'f1': 0.8816920026437541} | {'accuracy': 0.8283796740172579} |
| 0.0044 | 869.0 | 291115 | 1.6552 | {'f1': 0.8793774319066148} | {'accuracy': 0.8216682646212847} |
| 0.0044 | 870.0 | 291450 | 1.6860 | {'f1': 0.8754034861200773} | {'accuracy': 0.8149568552253116} |
| 0.0048 | 871.0 | 291785 | 1.5888 | {'f1': 0.8773770491803279} | {'accuracy': 0.8207094918504314} |
| 0.005 | 872.0 | 292120 | 1.7552 | {'f1': 0.8716956802063185} | {'accuracy': 0.8092042186001918} |
| 0.005 | 873.0 | 292455 | 1.6055 | {'f1': 0.8782093482554312} | {'accuracy': 0.822627037392138} |
| 0.0017 | 874.0 | 292790 | 1.6851 | {'f1': 0.8757319453480807} | {'accuracy': 0.8168744007670182} |
| 0.0019 | 875.0 | 293125 | 1.5263 | {'f1': 0.8859239492995331} | {'accuracy': 0.8360498561840843} |
| 0.0019 | 876.0 | 293460 | 1.8864 | {'f1': 0.8762755102040816} | {'accuracy': 0.8139980824544583} |
| 0.0046 | 877.0 | 293795 | 1.6726 | {'f1': 0.8762151652624757} | {'accuracy': 0.8168744007670182} |
| 0.0053 | 878.0 | 294130 | 1.6633 | {'f1': 0.8768729641693811} | {'accuracy': 0.8187919463087249} |
| 0.0053 | 879.0 | 294465 | 1.5332 | {'f1': 0.881201044386423} | {'accuracy': 0.825503355704698} |
| 0.0038 | 880.0 | 294800 | 1.5875 | {'f1': 0.8794788273615636} | {'accuracy': 0.822627037392138} |
| 0.0016 | 881.0 | 295135 | 1.5800 | {'f1': 0.8823529411764706} | {'accuracy': 0.8274209012464045} |
| 0.0016 | 882.0 | 295470 | 1.7071 | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.0036 | 883.0 | 295805 | 1.5565 | {'f1': 0.8828590337524818} | {'accuracy': 0.8302972195589645} |
| 0.0029 | 884.0 | 296140 | 1.6237 | {'f1': 0.8787878787878788} | {'accuracy': 0.8235858101629914} |
| 0.0029 | 885.0 | 296475 | 1.6317 | {'f1': 0.8809993425378042} | {'accuracy': 0.8264621284755513} |
| 0.0023 | 886.0 | 296810 | 1.7371 | {'f1': 0.8825806451612904} | {'accuracy': 0.825503355704698} |
| 0.0042 | 887.0 | 297145 | 1.6704 | {'f1': 0.8825065274151437} | {'accuracy': 0.8274209012464045} |
| 0.0042 | 888.0 | 297480 | 1.6768 | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698} |
| 0.0034 | 889.0 | 297815 | 1.5612 | {'f1': 0.8820786142571618} | {'accuracy': 0.8302972195589645} |
| 0.0032 | 890.0 | 298150 | 1.6058 | {'f1': 0.8811556139198949} | {'accuracy': 0.8264621284755513} |
| 0.0032 | 891.0 | 298485 | 1.5487 | {'f1': 0.8815789473684211} | {'accuracy': 0.8274209012464045} |
| 0.0042 | 892.0 | 298820 | 1.6238 | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.005 | 893.0 | 299155 | 1.6006 | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.005 | 894.0 | 299490 | 1.5974 | {'f1': 0.8840864440078585} | {'accuracy': 0.8302972195589645} |
| 0.0026 | 895.0 | 299825 | 1.5750 | {'f1': 0.8837820091923834} | {'accuracy': 0.8302972195589645} |
| 0.0029 | 896.0 | 300160 | 1.5631 | {'f1': 0.8874172185430463} | {'accuracy': 0.8370086289549377} |
| 0.0029 | 897.0 | 300495 | 1.4892 | {'f1': 0.8828590337524818} | {'accuracy': 0.8302972195589645} |
| 0.0078 | 898.0 | 300830 | 1.6689 | {'f1': 0.8818998716302953} | {'accuracy': 0.8235858101629914} |
| 0.0029 | 899.0 | 301165 | 1.6107 | {'f1': 0.880674448767834} | {'accuracy': 0.8235858101629914} |
| 0.0033 | 900.0 | 301500 | 1.5714 | {'f1': 0.8861256544502618} | {'accuracy': 0.8331735378715245} |
| 0.0033 | 901.0 | 301835 | 1.5784 | {'f1': 0.8825065274151437} | {'accuracy': 0.8274209012464045} |
| 0.0034 | 902.0 | 302170 | 1.6497 | {'f1': 0.8831504196255648} | {'accuracy': 0.8264621284755513} |
| 0.0018 | 903.0 | 302505 | 1.5811 | {'f1': 0.8874259381171825} | {'accuracy': 0.8360498561840843} |
| 0.0018 | 904.0 | 302840 | 1.6148 | {'f1': 0.884967320261438} | {'accuracy': 0.8312559923298178} |
| 0.0034 | 905.0 | 303175 | 1.6339 | {'f1': 0.8880105401844532} | {'accuracy': 0.8370086289549377} |
| 0.0024 | 906.0 | 303510 | 1.6064 | {'f1': 0.8850498338870432} | {'accuracy': 0.8341323106423778} |
| 0.0024 | 907.0 | 303845 | 1.6667 | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.0042 | 908.0 | 304180 | 1.5906 | {'f1': 0.8868421052631579} | {'accuracy': 0.835091083413231} |
| 0.0044 | 909.0 | 304515 | 1.6430 | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.0044 | 910.0 | 304850 | 1.5804 | {'f1': 0.8821989528795812} | {'accuracy': 0.8274209012464045} |
| 0.0054 | 911.0 | 305185 | 1.5657 | {'f1': 0.8858085808580859} | {'accuracy': 0.8341323106423778} |
| 0.0035 | 912.0 | 305520 | 1.6200 | {'f1': 0.8867059593975114} | {'accuracy': 0.8341323106423778} |
| 0.0035 | 913.0 | 305855 | 1.6597 | {'f1': 0.881664499349805} | {'accuracy': 0.825503355704698} |
| 0.0045 | 914.0 | 306190 | 1.5984 | {'f1': 0.883322346736981} | {'accuracy': 0.8302972195589645} |
| 0.0038 | 915.0 | 306525 | 1.6561 | {'f1': 0.8839634941329856} | {'accuracy': 0.8293384467881112} |
| 0.0038 | 916.0 | 306860 | 1.6429 | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.0035 | 917.0 | 307195 | 1.5792 | {'f1': 0.8855263157894737} | {'accuracy': 0.8331735378715245} |
| 0.0035 | 918.0 | 307530 | 1.7385 | {'f1': 0.8787684413085312} | {'accuracy': 0.8187919463087249} |
| 0.0035 | 919.0 | 307865 | 1.6209 | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0019 | 920.0 | 308200 | 1.7804 | {'f1': 0.8798972382787411} | {'accuracy': 0.8207094918504314} |
| 0.0031 | 921.0 | 308535 | 1.6301 | {'f1': 0.8826229508196721} | {'accuracy': 0.8283796740172579} |
| 0.0031 | 922.0 | 308870 | 1.6976 | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0038 | 923.0 | 309205 | 1.6510 | {'f1': 0.882084690553746} | {'accuracy': 0.8264621284755513} |
| 0.0042 | 924.0 | 309540 | 1.5643 | {'f1': 0.8849206349206349} | {'accuracy': 0.8331735378715245} |
| 0.0042 | 925.0 | 309875 | 1.6576 | {'f1': 0.880103694102398} | {'accuracy': 0.822627037392138} |
| 0.0028 | 926.0 | 310210 | 1.5039 | {'f1': 0.8815612382234185} | {'accuracy': 0.8312559923298178} |
| 0.0062 | 927.0 | 310545 | 1.5374 | {'f1': 0.8850498338870432} | {'accuracy': 0.8341323106423778} |
| 0.0062 | 928.0 | 310880 | 1.5927 | {'f1': 0.8826229508196721} | {'accuracy': 0.8283796740172579} |
| 0.0044 | 929.0 | 311215 | 1.5802 | {'f1': 0.88433575677462} | {'accuracy': 0.8322147651006712} |
| 0.0027 | 930.0 | 311550 | 1.6385 | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.0027 | 931.0 | 311885 | 1.6352 | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.0019 | 932.0 | 312220 | 1.5997 | {'f1': 0.8833551769331585} | {'accuracy': 0.8293384467881112} |
| 0.0057 | 933.0 | 312555 | 1.7269 | {'f1': 0.8792332268370607} | {'accuracy': 0.8187919463087249} |
| 0.0057 | 934.0 | 312890 | 1.6056 | {'f1': 0.88296488946684} | {'accuracy': 0.8274209012464045} |
| 0.0041 | 935.0 | 313225 | 1.5573 | {'f1': 0.8805774278215224} | {'accuracy': 0.825503355704698} |
| 0.0047 | 936.0 | 313560 | 1.5695 | {'f1': 0.881201044386423} | {'accuracy': 0.825503355704698} |
| 0.0047 | 937.0 | 313895 | 1.5672 | {'f1': 0.8816219751471549} | {'accuracy': 0.8264621284755513} |
| 0.0032 | 938.0 | 314230 | 1.6133 | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0066 | 939.0 | 314565 | 1.6662 | {'f1': 0.8798972382787411} | {'accuracy': 0.8207094918504314} |
| 0.0066 | 940.0 | 314900 | 1.6603 | {'f1': 0.8811369509043928} | {'accuracy': 0.8235858101629914} |
| 0.0034 | 941.0 | 315235 | 1.6765 | {'f1': 0.8804627249357326} | {'accuracy': 0.8216682646212847} |
| 0.0027 | 942.0 | 315570 | 1.5801 | {'f1': 0.8804204993429697} | {'accuracy': 0.825503355704698} |
| 0.0027 | 943.0 | 315905 | 1.6363 | {'f1': 0.8809368900455433} | {'accuracy': 0.8245445829338447} |
| 0.005 | 944.0 | 316240 | 1.5752 | {'f1': 0.8828125} | {'accuracy': 0.8274209012464045} |
| 0.0034 | 945.0 | 316575 | 1.6556 | {'f1': 0.8809218950064021} | {'accuracy': 0.8216682646212847} |
| 0.0034 | 946.0 | 316910 | 1.5272 | {'f1': 0.8847926267281107} | {'accuracy': 0.8322147651006712} |
| 0.0036 | 947.0 | 317245 | 1.5728 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0043 | 948.0 | 317580 | 1.5613 | {'f1': 0.8834759710335748} | {'accuracy': 0.8302972195589645} |
| 0.0043 | 949.0 | 317915 | 1.7344 | {'f1': 0.8813341885824246} | {'accuracy': 0.822627037392138} |
| 0.0025 | 950.0 | 318250 | 1.6721 | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0023 | 951.0 | 318585 | 1.6155 | {'f1': 0.8806855636123929} | {'accuracy': 0.8264621284755513} |
| 0.0023 | 952.0 | 318920 | 1.6973 | {'f1': 0.8839634941329856} | {'accuracy': 0.8293384467881112} |
| 0.0025 | 953.0 | 319255 | 1.7128 | {'f1': 0.8852883992222943} | {'accuracy': 0.8302972195589645} |
| 0.0027 | 954.0 | 319590 | 1.6258 | {'f1': 0.882392026578073} | {'accuracy': 0.8302972195589645} |
| 0.0027 | 955.0 | 319925 | 1.6449 | {'f1': 0.8791064388961892} | {'accuracy': 0.8235858101629914} |
| 0.0041 | 956.0 | 320260 | 1.7144 | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0033 | 957.0 | 320595 | 1.6443 | {'f1': 0.8791064388961892} | {'accuracy': 0.8235858101629914} |
| 0.0033 | 958.0 | 320930 | 1.6851 | {'f1': 0.8835393623942747} | {'accuracy': 0.8283796740172579} |
| 0.0033 | 959.0 | 321265 | 1.6488 | {'f1': 0.8783694937541091} | {'accuracy': 0.822627037392138} |
| 0.0042 | 960.0 | 321600 | 1.6676 | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0042 | 961.0 | 321935 | 1.6440 | {'f1': 0.8813559322033898} | {'accuracy': 0.825503355704698} |
| 0.0034 | 962.0 | 322270 | 1.5868 | {'f1': 0.881201044386423} | {'accuracy': 0.825503355704698} |
| 0.0039 | 963.0 | 322605 | 1.6646 | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.0039 | 964.0 | 322940 | 1.5576 | {'f1': 0.8825481088254811} | {'accuracy': 0.8302972195589645} |
| 0.0027 | 965.0 | 323275 | 1.6395 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.0061 | 966.0 | 323610 | 1.5301 | {'f1': 0.8805870580386924} | {'accuracy': 0.8283796740172579} |
| 0.0061 | 967.0 | 323945 | 1.5664 | {'f1': 0.8811556139198949} | {'accuracy': 0.8264621284755513} |
| 0.0027 | 968.0 | 324280 | 1.5934 | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0046 | 969.0 | 324615 | 1.6040 | {'f1': 0.8841145833333333} | {'accuracy': 0.8293384467881112} |
| 0.0046 | 970.0 | 324950 | 1.5580 | {'f1': 0.8801054018445323} | {'accuracy': 0.825503355704698} |
| 0.0024 | 971.0 | 325285 | 1.6129 | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.0025 | 972.0 | 325620 | 1.5886 | {'f1': 0.8799472295514512} | {'accuracy': 0.825503355704698} |
| 0.0025 | 973.0 | 325955 | 1.6544 | {'f1': 0.8852672750977836} | {'accuracy': 0.8312559923298178} |
| 0.0022 | 974.0 | 326290 | 1.6077 | {'f1': 0.8829300196206671} | {'accuracy': 0.8283796740172579} |
| 0.0055 | 975.0 | 326625 | 1.6093 | {'f1': 0.88} | {'accuracy': 0.8245445829338447} |
| 0.0055 | 976.0 | 326960 | 1.7068 | {'f1': 0.8787096774193548} | {'accuracy': 0.8197507190795782} |
| 0.003 | 977.0 | 327295 | 1.6335 | {'f1': 0.8809993425378042} | {'accuracy': 0.8264621284755513} |
| 0.0029 | 978.0 | 327630 | 1.6634 | {'f1': 0.8779220779220779} | {'accuracy': 0.8197507190795782} |
| 0.0029 | 979.0 | 327965 | 1.6256 | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0057 | 980.0 | 328300 | 1.6660 | {'f1': 0.8814432989690721} | {'accuracy': 0.8235858101629914} |
| 0.003 | 981.0 | 328635 | 1.5918 | {'f1': 0.8839344262295081} | {'accuracy': 0.8302972195589645} |
| 0.003 | 982.0 | 328970 | 1.7089 | {'f1': 0.8823151125401929} | {'accuracy': 0.8245445829338447} |
| 0.0038 | 983.0 | 329305 | 1.6115 | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0031 | 984.0 | 329640 | 1.5545 | {'f1': 0.8805280528052805} | {'accuracy': 0.8264621284755513} |
| 0.0031 | 985.0 | 329975 | 1.6240 | {'f1': 0.8823529411764706} | {'accuracy': 0.8274209012464045} |
| 0.0015 | 986.0 | 330310 | 1.6431 | {'f1': 0.8832684824902725} | {'accuracy': 0.8274209012464045} |
| 0.0035 | 987.0 | 330645 | 1.5873 | {'f1': 0.884967320261438} | {'accuracy': 0.8312559923298178} |
| 0.0035 | 988.0 | 330980 | 1.5421 | {'f1': 0.8837516512549538} | {'accuracy': 0.8312559923298178} |
| 0.0039 | 989.0 | 331315 | 1.5917 | {'f1': 0.8841826604897418} | {'accuracy': 0.8322147651006712} |
| 0.0014 | 990.0 | 331650 | 1.5912 | {'f1': 0.8875582168995342} | {'accuracy': 0.837967401725791} |
| 0.0014 | 991.0 | 331985 | 1.6806 | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0026 | 992.0 | 332320 | 1.6707 | {'f1': 0.8843626806833115} | {'accuracy': 0.8312559923298178} |
| 0.0017 | 993.0 | 332655 | 1.8238 | {'f1': 0.882466281310212} | {'accuracy': 0.8245445829338447} |
| 0.0017 | 994.0 | 332990 | 1.6485 | {'f1': 0.8822751322751322} | {'accuracy': 0.8293384467881112} |
| 0.0026 | 995.0 | 333325 | 1.6771 | {'f1': 0.8816219751471549} | {'accuracy': 0.8264621284755513} |
| 0.0035 | 996.0 | 333660 | 1.7282 | {'f1': 0.8803641092327698} | {'accuracy': 0.8235858101629914} |
| 0.0035 | 997.0 | 333995 | 1.7101 | {'f1': 0.8797920727745288} | {'accuracy': 0.822627037392138} |
| 0.0035 | 998.0 | 334330 | 1.7343 | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.0025 | 999.0 | 334665 | 1.8057 | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.0019 | 1000.0 | 335000 | 1.8351 | {'f1': 0.8804627249357326} | {'accuracy': 0.8216682646212847} |
| 0.0019 | 1001.0 | 335335 | 1.6279 | {'f1': 0.8844884488448844} | {'accuracy': 0.8322147651006712} |
| 0.006 | 1002.0 | 335670 | 1.6531 | {'f1': 0.8852459016393444} | {'accuracy': 0.8322147651006712} |
| 0.004 | 1003.0 | 336005 | 1.6674 | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.004 | 1004.0 | 336340 | 1.7113 | {'f1': 0.882084690553746} | {'accuracy': 0.8264621284755513} |
| 0.0022 | 1005.0 | 336675 | 1.6658 | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0039 | 1006.0 | 337010 | 1.7137 | {'f1': 0.8788075178224238} | {'accuracy': 0.8207094918504314} |
| 0.0039 | 1007.0 | 337345 | 1.6736 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0052 | 1008.0 | 337680 | 1.5942 | {'f1': 0.8817766165904638} | {'accuracy': 0.8264621284755513} |
| 0.0072 | 1009.0 | 338015 | 1.6167 | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138} |
| 0.0072 | 1010.0 | 338350 | 1.5201 | {'f1': 0.8883048620236531} | {'accuracy': 0.8370086289549377} |
| 0.0021 | 1011.0 | 338685 | 1.5181 | {'f1': 0.8846407382992749} | {'accuracy': 0.8322147651006712} |
| 0.0023 | 1012.0 | 339020 | 1.5751 | {'f1': 0.8871493803000652} | {'accuracy': 0.8341323106423778} |
| 0.0023 | 1013.0 | 339355 | 1.5257 | {'f1': 0.88561872909699} | {'accuracy': 0.8360498561840843} |
| 0.0023 | 1014.0 | 339690 | 1.6862 | {'f1': 0.8821635544108178} | {'accuracy': 0.8245445829338447} |
| 0.0035 | 1015.0 | 340025 | 1.5701 | {'f1': 0.8836291913214991} | {'accuracy': 0.8302972195589645} |
| 0.0035 | 1016.0 | 340360 | 1.5413 | {'f1': 0.8850498338870432} | {'accuracy': 0.8341323106423778} |
| 0.0026 | 1017.0 | 340695 | 1.7485 | {'f1': 0.8803088803088803} | {'accuracy': 0.8216682646212847} |
| 0.0028 | 1018.0 | 341030 | 1.7583 | {'f1': 0.8823151125401929} | {'accuracy': 0.8245445829338447} |
| 0.0028 | 1019.0 | 341365 | 1.7090 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.003 | 1020.0 | 341700 | 1.5417 | {'f1': 0.8875661375661376} | {'accuracy': 0.8370086289549377} |
| 0.0075 | 1021.0 | 342035 | 1.5904 | {'f1': 0.8874430709173715} | {'accuracy': 0.8341323106423778} |
| 0.0075 | 1022.0 | 342370 | 1.5910 | {'f1': 0.8865710560625816} | {'accuracy': 0.8331735378715245} |
| 0.0026 | 1023.0 | 342705 | 1.5547 | {'f1': 0.8859591298615689} | {'accuracy': 0.8341323106423778} |
| 0.0041 | 1024.0 | 343040 | 1.5638 | {'f1': 0.8891820580474935} | {'accuracy': 0.8389261744966443} |
| 0.0041 | 1025.0 | 343375 | 1.7581 | {'f1': 0.8795878943979395} | {'accuracy': 0.8207094918504314} |
| 0.004 | 1026.0 | 343710 | 1.5905 | {'f1': 0.8865435356200528} | {'accuracy': 0.835091083413231} |
| 0.0028 | 1027.0 | 344045 | 1.7152 | {'f1': 0.8831504196255648} | {'accuracy': 0.8264621284755513} |
| 0.0028 | 1028.0 | 344380 | 1.6984 | {'f1': 0.8847150259067358} | {'accuracy': 0.8293384467881112} |
| 0.0021 | 1029.0 | 344715 | 1.6455 | {'f1': 0.8875816993464052} | {'accuracy': 0.835091083413231} |
| 0.0029 | 1030.0 | 345050 | 1.5999 | {'f1': 0.8885959129861568} | {'accuracy': 0.837967401725791} |
| 0.0029 | 1031.0 | 345385 | 1.6865 | {'f1': 0.8861418347430059} | {'accuracy': 0.8322147651006712} |
| 0.0015 | 1032.0 | 345720 | 1.5991 | {'f1': 0.8887417218543047} | {'accuracy': 0.8389261744966443} |
| 0.0054 | 1033.0 | 346055 | 1.8527 | {'f1': 0.8778625954198473} | {'accuracy': 0.8159156279961649} |
| 0.0054 | 1034.0 | 346390 | 1.5213 | {'f1': 0.8918558077436584} | {'accuracy': 0.8446788111217641} |
| 0.0037 | 1035.0 | 346725 | 1.6267 | {'f1': 0.8868541530412034} | {'accuracy': 0.8341323106423778} |
| 0.0035 | 1036.0 | 347060 | 1.5801 | {'f1': 0.8883013879709186} | {'accuracy': 0.837967401725791} |
| 0.0035 | 1037.0 | 347395 | 1.6451 | {'f1': 0.8884540117416829} | {'accuracy': 0.8360498561840843} |
| 0.0037 | 1038.0 | 347730 | 1.5951 | {'f1': 0.8884488448844885} | {'accuracy': 0.837967401725791} |
| 0.0031 | 1039.0 | 348065 | 1.5840 | {'f1': 0.8874172185430463} | {'accuracy': 0.8370086289549377} |
| 0.0031 | 1040.0 | 348400 | 1.6453 | {'f1': 0.888597640891219} | {'accuracy': 0.8370086289549377} |
| 0.0031 | 1041.0 | 348735 | 1.6136 | {'f1': 0.8875661375661376} | {'accuracy': 0.8370086289549377} |
| 0.0022 | 1042.0 | 349070 | 1.6422 | {'f1': 0.8903566710700133} | {'accuracy': 0.840843720038351} |
| 0.0022 | 1043.0 | 349405 | 1.6441 | {'f1': 0.8881621975147155} | {'accuracy': 0.8360498561840843} |
| 0.0032 | 1044.0 | 349740 | 1.7125 | {'f1': 0.8841423948220065} | {'accuracy': 0.8283796740172579} |
| 0.0044 | 1045.0 | 350075 | 1.6543 | {'f1': 0.8859934853420196} | {'accuracy': 0.8322147651006712} |
| 0.0044 | 1046.0 | 350410 | 1.6956 | {'f1': 0.8847150259067358} | {'accuracy': 0.8293384467881112} |
| 0.0042 | 1047.0 | 350745 | 1.5667 | {'f1': 0.8899143045484509} | {'accuracy': 0.8398849472674976} |
| 0.0041 | 1048.0 | 351080 | 1.5807 | {'f1': 0.8861256544502618} | {'accuracy': 0.8331735378715245} |
| 0.0041 | 1049.0 | 351415 | 1.5926 | {'f1': 0.8858267716535433} | {'accuracy': 0.8331735378715245} |
| 0.0018 | 1050.0 | 351750 | 1.6285 | {'f1': 0.8856956237753103} | {'accuracy': 0.8322147651006712} |
| 0.0029 | 1051.0 | 352085 | 1.5853 | {'f1': 0.8874259381171825} | {'accuracy': 0.8360498561840843} |
| 0.0029 | 1052.0 | 352420 | 1.6858 | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0032 | 1053.0 | 352755 | 1.7886 | {'f1': 0.8808757244043787} | {'accuracy': 0.822627037392138} |
| 0.0023 | 1054.0 | 353090 | 1.6543 | {'f1': 0.8837820091923834} | {'accuracy': 0.8302972195589645} |
| 0.0023 | 1055.0 | 353425 | 1.6165 | {'f1': 0.8839050131926122} | {'accuracy': 0.8312559923298178} |
| 0.0036 | 1056.0 | 353760 | 1.6832 | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0036 | 1057.0 | 354095 | 1.6402 | {'f1': 0.8852672750977836} | {'accuracy': 0.8312559923298178} |
| 0.0036 | 1058.0 | 354430 | 1.6821 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0024 | 1059.0 | 354765 | 1.5917 | {'f1': 0.8852242744063324} | {'accuracy': 0.8331735378715245} |
| 0.0043 | 1060.0 | 355100 | 1.6325 | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.0043 | 1061.0 | 355435 | 1.5850 | {'f1': 0.8846153846153847} | {'accuracy': 0.8331735378715245} |
| 0.0039 | 1062.0 | 355770 | 1.5670 | {'f1': 0.885506287227002} | {'accuracy': 0.8341323106423778} |
| 0.0019 | 1063.0 | 356105 | 1.6631 | {'f1': 0.8880208333333334} | {'accuracy': 0.835091083413231} |
| 0.0019 | 1064.0 | 356440 | 1.5969 | {'f1': 0.886259040105194} | {'accuracy': 0.8341323106423778} |
| 0.0036 | 1065.0 | 356775 | 1.5846 | {'f1': 0.8839050131926122} | {'accuracy': 0.8312559923298178} |
| 0.0029 | 1066.0 | 357110 | 1.6015 | {'f1': 0.8872870249017039} | {'accuracy': 0.835091083413231} |
| 0.0029 | 1067.0 | 357445 | 1.6231 | {'f1': 0.8862745098039215} | {'accuracy': 0.8331735378715245} |
| 0.0028 | 1068.0 | 357780 | 1.5626 | {'f1': 0.88021534320323} | {'accuracy': 0.8293384467881112} |
| 0.0032 | 1069.0 | 358115 | 1.6495 | {'f1': 0.8842380640941793} | {'accuracy': 0.8302972195589645} |
| 0.0032 | 1070.0 | 358450 | 1.6486 | {'f1': 0.8825065274151437} | {'accuracy': 0.8274209012464045} |
| 0.0047 | 1071.0 | 358785 | 1.6075 | {'f1': 0.8820039551746869} | {'accuracy': 0.8283796740172579} |
| 0.0028 | 1072.0 | 359120 | 1.7135 | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138} |
| 0.0028 | 1073.0 | 359455 | 1.6339 | {'f1': 0.8790482485128884} | {'accuracy': 0.8245445829338447} |
| 0.0031 | 1074.0 | 359790 | 1.6787 | {'f1': 0.8830829523187459} | {'accuracy': 0.8283796740172579} |
| 0.0048 | 1075.0 | 360125 | 1.6607 | {'f1': 0.8797920727745288} | {'accuracy': 0.822627037392138} |
| 0.0048 | 1076.0 | 360460 | 1.7147 | {'f1': 0.8777633289986997} | {'accuracy': 0.8197507190795782} |
| 0.0016 | 1077.0 | 360795 | 1.6353 | {'f1': 0.8782722513089006} | {'accuracy': 0.8216682646212847} |
| 0.0038 | 1078.0 | 361130 | 1.5526 | {'f1': 0.8822355289421158} | {'accuracy': 0.8302972195589645} |
| 0.0038 | 1079.0 | 361465 | 1.6613 | {'f1': 0.8793774319066148} | {'accuracy': 0.8216682646212847} |
| 0.0038 | 1080.0 | 361800 | 1.6224 | {'f1': 0.8816219751471549} | {'accuracy': 0.8264621284755513} |
| 0.0014 | 1081.0 | 362135 | 1.6471 | {'f1': 0.8804702808621816} | {'accuracy': 0.8245445829338447} |
| 0.0014 | 1082.0 | 362470 | 1.6292 | {'f1': 0.8858267716535433} | {'accuracy': 0.8331735378715245} |
| 0.0035 | 1083.0 | 362805 | 1.6660 | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0024 | 1084.0 | 363140 | 1.6730 | {'f1': 0.8807817589576548} | {'accuracy': 0.8245445829338447} |
| 0.0024 | 1085.0 | 363475 | 1.6435 | {'f1': 0.8832354859752121} | {'accuracy': 0.8283796740172579} |
| 0.0037 | 1086.0 | 363810 | 1.5428 | {'f1': 0.8847682119205298} | {'accuracy': 0.8331735378715245} |
| 0.0048 | 1087.0 | 364145 | 1.5604 | {'f1': 0.8858267716535433} | {'accuracy': 0.8331735378715245} |
| 0.0048 | 1088.0 | 364480 | 1.6473 | {'f1': 0.8780804150453955} | {'accuracy': 0.8197507190795782} |
| 0.0042 | 1089.0 | 364815 | 1.5494 | {'f1': 0.8859591298615689} | {'accuracy': 0.8341323106423778} |
| 0.0025 | 1090.0 | 365150 | 1.6817 | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698} |
| 0.0025 | 1091.0 | 365485 | 1.5962 | {'f1': 0.8849441157133465} | {'accuracy': 0.8322147651006712} |
| 0.0027 | 1092.0 | 365820 | 1.6261 | {'f1': 0.8827037773359842} | {'accuracy': 0.8302972195589645} |
| 0.0023 | 1093.0 | 366155 | 1.6884 | {'f1': 0.8865845755022683} | {'accuracy': 0.8322147651006712} |
| 0.0023 | 1094.0 | 366490 | 1.6529 | {'f1': 0.8865710560625816} | {'accuracy': 0.8331735378715245} |
| 0.0048 | 1095.0 | 366825 | 1.6021 | {'f1': 0.8860927152317881} | {'accuracy': 0.835091083413231} |
| 0.0043 | 1096.0 | 367160 | 1.6417 | {'f1': 0.8864229765013055} | {'accuracy': 0.8331735378715245} |
| 0.0043 | 1097.0 | 367495 | 1.5660 | {'f1': 0.8859591298615689} | {'accuracy': 0.8341323106423778} |
| 0.0036 | 1098.0 | 367830 | 1.5302 | {'f1': 0.885486018641811} | {'accuracy': 0.835091083413231} |
| 0.0025 | 1099.0 | 368165 | 1.5780 | {'f1': 0.8856382978723404} | {'accuracy': 0.835091083413231} |
| 0.0034 | 1100.0 | 368500 | 1.6380 | {'f1': 0.8813559322033898} | {'accuracy': 0.825503355704698} |
| 0.0034 | 1101.0 | 368835 | 1.5353 | {'f1': 0.8877076411960134} | {'accuracy': 0.837967401725791} |
| 0.0028 | 1102.0 | 369170 | 1.5930 | {'f1': 0.8850952068286276} | {'accuracy': 0.8322147651006712} |
| 0.0016 | 1103.0 | 369505 | 1.6172 | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.0016 | 1104.0 | 369840 | 1.6414 | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.0027 | 1105.0 | 370175 | 1.6066 | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.003 | 1106.0 | 370510 | 1.6791 | {'f1': 0.8868660598179455} | {'accuracy': 0.8331735378715245} |
| 0.003 | 1107.0 | 370845 | 1.6333 | {'f1': 0.8833551769331585} | {'accuracy': 0.8293384467881112} |
| 0.0047 | 1108.0 | 371180 | 1.5901 | {'f1': 0.8875661375661376} | {'accuracy': 0.8370086289549377} |
| 0.0045 | 1109.0 | 371515 | 1.5836 | {'f1': 0.8865573770491804} | {'accuracy': 0.8341323106423778} |
| 0.0045 | 1110.0 | 371850 | 1.5848 | {'f1': 0.8871391076115486} | {'accuracy': 0.835091083413231} |
| 0.0027 | 1111.0 | 372185 | 1.5712 | {'f1': 0.8864229765013055} | {'accuracy': 0.8331735378715245} |
| 0.0036 | 1112.0 | 372520 | 1.6526 | {'f1': 0.8852883992222943} | {'accuracy': 0.8302972195589645} |
| 0.0036 | 1113.0 | 372855 | 1.5732 | {'f1': 0.8881578947368421} | {'accuracy': 0.8370086289549377} |
| 0.0039 | 1114.0 | 373190 | 1.5640 | {'f1': 0.8906455862977603} | {'accuracy': 0.840843720038351} |
| 0.0042 | 1115.0 | 373525 | 1.5411 | {'f1': 0.8887417218543047} | {'accuracy': 0.8389261744966443} |
| 0.0042 | 1116.0 | 373860 | 1.5553 | {'f1': 0.889920424403183} | {'accuracy': 0.840843720038351} |
| 0.002 | 1117.0 | 374195 | 1.6430 | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.003 | 1118.0 | 374530 | 1.5749 | {'f1': 0.8885959129861568} | {'accuracy': 0.837967401725791} |
| 0.003 | 1119.0 | 374865 | 1.6465 | {'f1': 0.8861418347430059} | {'accuracy': 0.8322147651006712} |
| 0.0028 | 1120.0 | 375200 | 1.6485 | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0022 | 1121.0 | 375535 | 1.6010 | {'f1': 0.8850952068286276} | {'accuracy': 0.8322147651006712} |
| 0.0022 | 1122.0 | 375870 | 1.6192 | {'f1': 0.8871391076115486} | {'accuracy': 0.835091083413231} |
| 0.0031 | 1123.0 | 376205 | 1.5876 | {'f1': 0.8865435356200528} | {'accuracy': 0.835091083413231} |
| 0.0014 | 1124.0 | 376540 | 1.6109 | {'f1': 0.8853754940711462} | {'accuracy': 0.8331735378715245} |
| 0.0014 | 1125.0 | 376875 | 1.6595 | {'f1': 0.8865710560625816} | {'accuracy': 0.8331735378715245} |
| 0.0018 | 1126.0 | 377210 | 1.5596 | {'f1': 0.8897795591182364} | {'accuracy': 0.8418024928092043} |
| 0.0024 | 1127.0 | 377545 | 1.6213 | {'f1': 0.8863936591809775} | {'accuracy': 0.835091083413231} |
| 0.0024 | 1128.0 | 377880 | 1.5969 | {'f1': 0.8842809364548496} | {'accuracy': 0.8341323106423778} |
| 0.0024 | 1129.0 | 378215 | 1.5904 | {'f1': 0.885887913571911} | {'accuracy': 0.837967401725791} |
| 0.0032 | 1130.0 | 378550 | 1.7256 | {'f1': 0.8862897985705004} | {'accuracy': 0.8322147651006712} |
| 0.0032 | 1131.0 | 378885 | 1.8606 | {'f1': 0.8789237668161436} | {'accuracy': 0.8187919463087249} |
| 0.0019 | 1132.0 | 379220 | 1.7037 | {'f1': 0.8850726552179656} | {'accuracy': 0.8331735378715245} |
| 0.0026 | 1133.0 | 379555 | 1.7805 | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0026 | 1134.0 | 379890 | 1.8544 | {'f1': 0.8815958815958816} | {'accuracy': 0.8235858101629914} |
| 0.0028 | 1135.0 | 380225 | 1.7224 | {'f1': 0.883322346736981} | {'accuracy': 0.8302972195589645} |
| 0.0018 | 1136.0 | 380560 | 1.8129 | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0018 | 1137.0 | 380895 | 1.6931 | {'f1': 0.885506287227002} | {'accuracy': 0.8341323106423778} |
| 0.003 | 1138.0 | 381230 | 1.7690 | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.003 | 1139.0 | 381565 | 1.7252 | {'f1': 0.886408404464872} | {'accuracy': 0.8341323106423778} |
| 0.003 | 1140.0 | 381900 | 1.7165 | {'f1': 0.8846407382992749} | {'accuracy': 0.8322147651006712} |
| 0.0018 | 1141.0 | 382235 | 1.7154 | {'f1': 0.8877216021011162} | {'accuracy': 0.8360498561840843} |
| 0.0027 | 1142.0 | 382570 | 1.6908 | {'f1': 0.8821192052980134} | {'accuracy': 0.8293384467881112} |
| 0.0027 | 1143.0 | 382905 | 1.7904 | {'f1': 0.8852883992222943} | {'accuracy': 0.8302972195589645} |
| 0.0021 | 1144.0 | 383240 | 1.8250 | {'f1': 0.8825806451612904} | {'accuracy': 0.825503355704698} |
| 0.0016 | 1145.0 | 383575 | 1.6276 | {'f1': 0.8877005347593583} | {'accuracy': 0.8389261744966443} |
| 0.0016 | 1146.0 | 383910 | 1.6543 | {'f1': 0.8875661375661376} | {'accuracy': 0.8370086289549377} |
| 0.0039 | 1147.0 | 384245 | 1.6855 | {'f1': 0.8847926267281107} | {'accuracy': 0.8322147651006712} |
| 0.0015 | 1148.0 | 384580 | 1.7470 | {'f1': 0.8880157170923381} | {'accuracy': 0.8360498561840843} |
| 0.0015 | 1149.0 | 384915 | 1.7802 | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0016 | 1150.0 | 385250 | 1.7562 | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.0018 | 1151.0 | 385585 | 1.7715 | {'f1': 0.8856956237753103} | {'accuracy': 0.8322147651006712} |
| 0.0018 | 1152.0 | 385920 | 1.7989 | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0019 | 1153.0 | 386255 | 1.8137 | {'f1': 0.8851395197923426} | {'accuracy': 0.8302972195589645} |
| 0.0042 | 1154.0 | 386590 | 1.7496 | {'f1': 0.8858267716535433} | {'accuracy': 0.8331735378715245} |
| 0.0042 | 1155.0 | 386925 | 1.7889 | {'f1': 0.8836601307189542} | {'accuracy': 0.8293384467881112} |
| 0.003 | 1156.0 | 387260 | 1.6654 | {'f1': 0.8856576338400529} | {'accuracy': 0.8341323106423778} |
| 0.0027 | 1157.0 | 387595 | 1.9299 | {'f1': 0.8777070063694268} | {'accuracy': 0.8159156279961649} |
| 0.0027 | 1158.0 | 387930 | 1.6656 | {'f1': 0.8861092824226466} | {'accuracy': 0.8341323106423778} |
| 0.0044 | 1159.0 | 388265 | 1.7469 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0026 | 1160.0 | 388600 | 1.7098 | {'f1': 0.8836601307189542} | {'accuracy': 0.8293384467881112} |
| 0.0026 | 1161.0 | 388935 | 1.7530 | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0017 | 1162.0 | 389270 | 1.7884 | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0028 | 1163.0 | 389605 | 1.7387 | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.0028 | 1164.0 | 389940 | 1.7094 | {'f1': 0.8852242744063324} | {'accuracy': 0.8331735378715245} |
| 0.0027 | 1165.0 | 390275 | 1.8461 | {'f1': 0.8811817597944765} | {'accuracy': 0.822627037392138} |
| 0.0037 | 1166.0 | 390610 | 1.7538 | {'f1': 0.8827766863130322} | {'accuracy': 0.8283796740172579} |
| 0.0037 | 1167.0 | 390945 | 1.7664 | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0016 | 1168.0 | 391280 | 1.7127 | {'f1': 0.8811556139198949} | {'accuracy': 0.8264621284755513} |
| 0.0028 | 1169.0 | 391615 | 1.7404 | {'f1': 0.8816219751471549} | {'accuracy': 0.8264621284755513} |
| 0.0028 | 1170.0 | 391950 | 1.6900 | {'f1': 0.8840579710144927} | {'accuracy': 0.8312559923298178} |
| 0.0024 | 1171.0 | 392285 | 1.6964 | {'f1': 0.8849441157133465} | {'accuracy': 0.8322147651006712} |
| 0.0023 | 1172.0 | 392620 | 1.7047 | {'f1': 0.8849441157133465} | {'accuracy': 0.8322147651006712} |
| 0.0023 | 1173.0 | 392955 | 1.7315 | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0031 | 1174.0 | 393290 | 1.6667 | {'f1': 0.8871287128712871} | {'accuracy': 0.8360498561840843} |
| 0.0017 | 1175.0 | 393625 | 1.7351 | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.0017 | 1176.0 | 393960 | 1.7235 | {'f1': 0.8861256544502618} | {'accuracy': 0.8331735378715245} |
| 0.0021 | 1177.0 | 394295 | 1.6348 | {'f1': 0.885486018641811} | {'accuracy': 0.835091083413231} |
| 0.0058 | 1178.0 | 394630 | 1.6370 | {'f1': 0.8852023888520238} | {'accuracy': 0.8341323106423778} |
| 0.0058 | 1179.0 | 394965 | 1.6521 | {'f1': 0.8835662009314704} | {'accuracy': 0.8322147651006712} |
| 0.002 | 1180.0 | 395300 | 1.6771 | {'f1': 0.8852242744063324} | {'accuracy': 0.8331735378715245} |
| 0.0045 | 1181.0 | 395635 | 1.6599 | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.0045 | 1182.0 | 395970 | 1.6023 | {'f1': 0.8840291583830351} | {'accuracy': 0.8322147651006712} |
| 0.0018 | 1183.0 | 396305 | 1.6570 | {'f1': 0.8872870249017039} | {'accuracy': 0.835091083413231} |
| 0.0023 | 1184.0 | 396640 | 1.7207 | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0023 | 1185.0 | 396975 | 1.6423 | {'f1': 0.888597640891219} | {'accuracy': 0.8370086289549377} |
| 0.0021 | 1186.0 | 397310 | 1.6735 | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.0035 | 1187.0 | 397645 | 1.6051 | {'f1': 0.8866930171277998} | {'accuracy': 0.835091083413231} |
| 0.0035 | 1188.0 | 397980 | 1.7041 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0018 | 1189.0 | 398315 | 1.6708 | {'f1': 0.885396201702685} | {'accuracy': 0.8322147651006712} |
| 0.0022 | 1190.0 | 398650 | 1.6910 | {'f1': 0.8839634941329856} | {'accuracy': 0.8293384467881112} |
| 0.0022 | 1191.0 | 398985 | 1.5801 | {'f1': 0.888443553774215} | {'accuracy': 0.8398849472674976} |
| 0.003 | 1192.0 | 399320 | 1.7103 | {'f1': 0.8842380640941793} | {'accuracy': 0.8302972195589645} |
| 0.0028 | 1193.0 | 399655 | 1.7610 | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.0028 | 1194.0 | 399990 | 1.6810 | {'f1': 0.8875739644970414} | {'accuracy': 0.8360498561840843} |
| 0.0018 | 1195.0 | 400325 | 1.6908 | {'f1': 0.8869908015768725} | {'accuracy': 0.835091083413231} |
| 0.0017 | 1196.0 | 400660 | 1.7498 | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.0017 | 1197.0 | 400995 | 1.7100 | {'f1': 0.8858085808580859} | {'accuracy': 0.8341323106423778} |
| 0.0031 | 1198.0 | 401330 | 1.7323 | {'f1': 0.8875739644970414} | {'accuracy': 0.8360498561840843} |
| 0.0015 | 1199.0 | 401665 | 1.8114 | {'f1': 0.8861418347430059} | {'accuracy': 0.8322147651006712} |
| 0.0027 | 1200.0 | 402000 | 1.7582 | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.0027 | 1201.0 | 402335 | 1.6836 | {'f1': 0.8896276595744681} | {'accuracy': 0.840843720038351} |
| 0.0028 | 1202.0 | 402670 | 1.7912 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0028 | 1203.0 | 403005 | 1.8033 | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0028 | 1204.0 | 403340 | 1.7985 | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0019 | 1205.0 | 403675 | 1.7905 | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.0032 | 1206.0 | 404010 | 1.7356 | {'f1': 0.886408404464872} | {'accuracy': 0.8341323106423778} |
| 0.0032 | 1207.0 | 404345 | 1.6976 | {'f1': 0.8855461085676913} | {'accuracy': 0.8322147651006712} |
| 0.0044 | 1208.0 | 404680 | 1.7209 | {'f1': 0.8858447488584474} | {'accuracy': 0.8322147651006712} |
| 0.0016 | 1209.0 | 405015 | 1.7403 | {'f1': 0.8841145833333333} | {'accuracy': 0.8293384467881112} |
| 0.0016 | 1210.0 | 405350 | 1.6621 | {'f1': 0.8858085808580859} | {'accuracy': 0.8341323106423778} |
| 0.0032 | 1211.0 | 405685 | 1.7098 | {'f1': 0.8872870249017039} | {'accuracy': 0.835091083413231} |
| 0.0022 | 1212.0 | 406020 | 1.6697 | {'f1': 0.8863936591809775} | {'accuracy': 0.835091083413231} |
| 0.0022 | 1213.0 | 406355 | 1.7366 | {'f1': 0.88296488946684} | {'accuracy': 0.8274209012464045} |
| 0.0025 | 1214.0 | 406690 | 1.6412 | {'f1': 0.8887417218543047} | {'accuracy': 0.8389261744966443} |
| 0.0026 | 1215.0 | 407025 | 1.7191 | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.0026 | 1216.0 | 407360 | 1.6733 | {'f1': 0.8884514435695539} | {'accuracy': 0.8370086289549377} |
| 0.0035 | 1217.0 | 407695 | 1.7227 | {'f1': 0.8855656697009102} | {'accuracy': 0.8312559923298178} |
| 0.0018 | 1218.0 | 408030 | 1.7874 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.0018 | 1219.0 | 408365 | 1.7690 | {'f1': 0.8851395197923426} | {'accuracy': 0.8302972195589645} |
| 0.0022 | 1220.0 | 408700 | 1.8313 | {'f1': 0.8808757244043787} | {'accuracy': 0.822627037392138} |
| 0.0052 | 1221.0 | 409035 | 1.7186 | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.0052 | 1222.0 | 409370 | 1.7555 | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.0039 | 1223.0 | 409705 | 1.7314 | {'f1': 0.8798955613577023} | {'accuracy': 0.8235858101629914} |
| 0.0031 | 1224.0 | 410040 | 1.6025 | {'f1': 0.8877005347593583} | {'accuracy': 0.8389261744966443} |
| 0.0031 | 1225.0 | 410375 | 1.6785 | {'f1': 0.886259040105194} | {'accuracy': 0.8341323106423778} |
| 0.0018 | 1226.0 | 410710 | 1.8083 | {'f1': 0.8803088803088803} | {'accuracy': 0.8216682646212847} |
| 0.0018 | 1227.0 | 411045 | 1.6697 | {'f1': 0.8832555036691127} | {'accuracy': 0.8322147651006712} |
| 0.0018 | 1228.0 | 411380 | 1.7528 | {'f1': 0.8828125} | {'accuracy': 0.8274209012464045} |
| 0.0034 | 1229.0 | 411715 | 1.7647 | {'f1': 0.881664499349805} | {'accuracy': 0.825503355704698} |
| 0.0016 | 1230.0 | 412050 | 1.7080 | {'f1': 0.886259040105194} | {'accuracy': 0.8341323106423778} |
| 0.0016 | 1231.0 | 412385 | 1.7002 | {'f1': 0.8866930171277998} | {'accuracy': 0.835091083413231} |
| 0.0018 | 1232.0 | 412720 | 1.7542 | {'f1': 0.8858447488584474} | {'accuracy': 0.8322147651006712} |
| 0.0034 | 1233.0 | 413055 | 1.7277 | {'f1': 0.8841145833333333} | {'accuracy': 0.8293384467881112} |
| 0.0034 | 1234.0 | 413390 | 1.6909 | {'f1': 0.8859764089121887} | {'accuracy': 0.8331735378715245} |
| 0.0015 | 1235.0 | 413725 | 1.7052 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0025 | 1236.0 | 414060 | 1.7913 | {'f1': 0.8831504196255648} | {'accuracy': 0.8264621284755513} |
| 0.0025 | 1237.0 | 414395 | 1.7496 | {'f1': 0.8861418347430059} | {'accuracy': 0.8322147651006712} |
| 0.0029 | 1238.0 | 414730 | 1.6863 | {'f1': 0.8890347997373604} | {'accuracy': 0.837967401725791} |
| 0.0027 | 1239.0 | 415065 | 1.7087 | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138} |
| 0.0027 | 1240.0 | 415400 | 1.5965 | {'f1': 0.8891820580474935} | {'accuracy': 0.8389261744966443} |
| 0.0054 | 1241.0 | 415735 | 1.6261 | {'f1': 0.887434554973822} | {'accuracy': 0.835091083413231} |
| 0.0017 | 1242.0 | 416070 | 1.5655 | {'f1': 0.888888888888889} | {'accuracy': 0.8389261744966443} |
| 0.0017 | 1243.0 | 416405 | 1.5952 | {'f1': 0.8884488448844885} | {'accuracy': 0.837967401725791} |
| 0.0033 | 1244.0 | 416740 | 1.6296 | {'f1': 0.8875816993464052} | {'accuracy': 0.835091083413231} |
| 0.0029 | 1245.0 | 417075 | 1.6133 | {'f1': 0.8883048620236531} | {'accuracy': 0.8370086289549377} |
| 0.0029 | 1246.0 | 417410 | 1.6047 | {'f1': 0.8878627968337731} | {'accuracy': 0.8370086289549377} |
| 0.0021 | 1247.0 | 417745 | 1.7268 | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0022 | 1248.0 | 418080 | 1.6843 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0022 | 1249.0 | 418415 | 1.6683 | {'f1': 0.8875816993464052} | {'accuracy': 0.835091083413231} |
| 0.0027 | 1250.0 | 418750 | 1.6704 | {'f1': 0.8881621975147155} | {'accuracy': 0.8360498561840843} |
| 0.0022 | 1251.0 | 419085 | 1.7550 | {'f1': 0.8833010960670536} | {'accuracy': 0.8264621284755513} |
| 0.0022 | 1252.0 | 419420 | 1.6882 | {'f1': 0.8865710560625816} | {'accuracy': 0.8331735378715245} |
| 0.004 | 1253.0 | 419755 | 1.6692 | {'f1': 0.8868541530412034} | {'accuracy': 0.8341323106423778} |
| 0.0022 | 1254.0 | 420090 | 1.6207 | {'f1': 0.8853333333333333} | {'accuracy': 0.835091083413231} |
| 0.0022 | 1255.0 | 420425 | 1.6777 | {'f1': 0.8872964169381107} | {'accuracy': 0.8341323106423778} |
| 0.0016 | 1256.0 | 420760 | 1.6322 | {'f1': 0.8885941644562333} | {'accuracy': 0.8389261744966443} |
| 0.0021 | 1257.0 | 421095 | 1.6463 | {'f1': 0.8880105401844532} | {'accuracy': 0.8370086289549377} |
| 0.0021 | 1258.0 | 421430 | 1.6737 | {'f1': 0.8884540117416829} | {'accuracy': 0.8360498561840843} |
| 0.0023 | 1259.0 | 421765 | 1.6487 | {'f1': 0.8890347997373604} | {'accuracy': 0.837967401725791} |
| 0.0034 | 1260.0 | 422100 | 1.6921 | {'f1': 0.8865710560625816} | {'accuracy': 0.8331735378715245} |
| 0.0034 | 1261.0 | 422435 | 1.5953 | {'f1': 0.8887408394403731} | {'accuracy': 0.8398849472674976} |
| 0.0045 | 1262.0 | 422770 | 1.7129 | {'f1': 0.8845654993514916} | {'accuracy': 0.8293384467881112} |
| 0.0017 | 1263.0 | 423105 | 1.7699 | {'f1': 0.8811369509043928} | {'accuracy': 0.8235858101629914} |
| 0.0017 | 1264.0 | 423440 | 1.6435 | {'f1': 0.8875816993464052} | {'accuracy': 0.835091083413231} |
| 0.0024 | 1265.0 | 423775 | 1.7540 | {'f1': 0.8808757244043787} | {'accuracy': 0.822627037392138} |
| 0.0042 | 1266.0 | 424110 | 1.6861 | {'f1': 0.8858625162127108} | {'accuracy': 0.8312559923298178} |
| 0.0042 | 1267.0 | 424445 | 1.6125 | {'f1': 0.8858267716535433} | {'accuracy': 0.8331735378715245} |
| 0.004 | 1268.0 | 424780 | 1.6888 | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.0015 | 1269.0 | 425115 | 1.6839 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.0015 | 1270.0 | 425450 | 1.6722 | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0029 | 1271.0 | 425785 | 1.6979 | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0024 | 1272.0 | 426120 | 1.5824 | {'f1': 0.8862433862433863} | {'accuracy': 0.835091083413231} |
| 0.0024 | 1273.0 | 426455 | 1.7985 | {'f1': 0.8787684413085312} | {'accuracy': 0.8187919463087249} |
| 0.0044 | 1274.0 | 426790 | 1.6429 | {'f1': 0.8830486202365309} | {'accuracy': 0.8293384467881112} |
| 0.0025 | 1275.0 | 427125 | 1.5866 | {'f1': 0.8860759493670886} | {'accuracy': 0.8360498561840843} |
| 0.0025 | 1276.0 | 427460 | 1.7528 | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0028 | 1277.0 | 427795 | 1.8184 | {'f1': 0.8780487804878049} | {'accuracy': 0.8178331735378715} |
| 0.0016 | 1278.0 | 428130 | 1.7036 | {'f1': 0.8820445609436436} | {'accuracy': 0.8274209012464045} |
| 0.0016 | 1279.0 | 428465 | 1.7409 | {'f1': 0.8800521512385918} | {'accuracy': 0.8235858101629914} |
| 0.0022 | 1280.0 | 428800 | 1.7406 | {'f1': 0.8780169602087411} | {'accuracy': 0.8207094918504314} |
| 0.0039 | 1281.0 | 429135 | 1.6932 | {'f1': 0.8804702808621816} | {'accuracy': 0.8245445829338447} |
| 0.0039 | 1282.0 | 429470 | 1.6137 | {'f1': 0.8853545394300861} | {'accuracy': 0.8341323106423778} |
| 0.0026 | 1283.0 | 429805 | 1.7429 | {'f1': 0.8790637191157347} | {'accuracy': 0.8216682646212847} |
| 0.0017 | 1284.0 | 430140 | 1.6462 | {'f1': 0.8860927152317881} | {'accuracy': 0.835091083413231} |
| 0.0017 | 1285.0 | 430475 | 1.6180 | {'f1': 0.8874083944037308} | {'accuracy': 0.837967401725791} |
| 0.0024 | 1286.0 | 430810 | 1.7098 | {'f1': 0.8816219751471549} | {'accuracy': 0.8264621284755513} |
| 0.0015 | 1287.0 | 431145 | 1.6675 | {'f1': 0.8856382978723404} | {'accuracy': 0.835091083413231} |
| 0.0015 | 1288.0 | 431480 | 1.6877 | {'f1': 0.8844884488448844} | {'accuracy': 0.8322147651006712} |
| 0.0033 | 1289.0 | 431815 | 1.7807 | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138} |
| 0.0045 | 1290.0 | 432150 | 1.7126 | {'f1': 0.8797920727745288} | {'accuracy': 0.822627037392138} |
| 0.0045 | 1291.0 | 432485 | 1.6483 | {'f1': 0.8806262230919765} | {'accuracy': 0.8245445829338447} |
| 0.0055 | 1292.0 | 432820 | 1.7432 | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0035 | 1293.0 | 433155 | 1.6595 | {'f1': 0.8797920727745288} | {'accuracy': 0.822627037392138} |
| 0.0035 | 1294.0 | 433490 | 1.6534 | {'f1': 0.8802083333333333} | {'accuracy': 0.8235858101629914} |
| 0.0024 | 1295.0 | 433825 | 1.5400 | {'f1': 0.8856382978723404} | {'accuracy': 0.835091083413231} |
| 0.0025 | 1296.0 | 434160 | 1.5690 | {'f1': 0.8863936591809775} | {'accuracy': 0.835091083413231} |
| 0.0025 | 1297.0 | 434495 | 1.6632 | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0019 | 1298.0 | 434830 | 1.6372 | {'f1': 0.8832354859752121} | {'accuracy': 0.8283796740172579} |
| 0.0021 | 1299.0 | 435165 | 1.6924 | {'f1': 0.881399870382372} | {'accuracy': 0.8245445829338447} |
| 0.002 | 1300.0 | 435500 | 1.6588 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.002 | 1301.0 | 435835 | 1.6316 | {'f1': 0.8832020997375328} | {'accuracy': 0.8293384467881112} |
| 0.0016 | 1302.0 | 436170 | 1.5885 | {'f1': 0.8866930171277998} | {'accuracy': 0.835091083413231} |
| 0.0025 | 1303.0 | 436505 | 1.6519 | {'f1': 0.8839634941329856} | {'accuracy': 0.8293384467881112} |
| 0.0025 | 1304.0 | 436840 | 1.6364 | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.0027 | 1305.0 | 437175 | 1.6846 | {'f1': 0.8851395197923426} | {'accuracy': 0.8302972195589645} |
| 0.0019 | 1306.0 | 437510 | 1.6704 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0019 | 1307.0 | 437845 | 1.6993 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0019 | 1308.0 | 438180 | 1.6955 | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0017 | 1309.0 | 438515 | 1.6855 | {'f1': 0.88671875} | {'accuracy': 0.8331735378715245} |
| 0.0017 | 1310.0 | 438850 | 1.6172 | {'f1': 0.8877146631439895} | {'accuracy': 0.8370086289549377} |
| 0.0021 | 1311.0 | 439185 | 1.7192 | {'f1': 0.8844415752098128} | {'accuracy': 0.8283796740172579} |
| 0.0035 | 1312.0 | 439520 | 1.6323 | {'f1': 0.8875816993464052} | {'accuracy': 0.835091083413231} |
| 0.0035 | 1313.0 | 439855 | 1.6781 | {'f1': 0.8825806451612904} | {'accuracy': 0.825503355704698} |
| 0.0049 | 1314.0 | 440190 | 1.6834 | {'f1': 0.8812903225806452} | {'accuracy': 0.8235858101629914} |
| 0.0016 | 1315.0 | 440525 | 1.6194 | {'f1': 0.8852459016393444} | {'accuracy': 0.8322147651006712} |
| 0.0016 | 1316.0 | 440860 | 1.6558 | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0027 | 1317.0 | 441195 | 1.6291 | {'f1': 0.8875816993464052} | {'accuracy': 0.835091083413231} |
| 0.0026 | 1318.0 | 441530 | 1.6082 | {'f1': 0.8880157170923381} | {'accuracy': 0.8360498561840843} |
| 0.0026 | 1319.0 | 441865 | 1.6212 | {'f1': 0.8871391076115486} | {'accuracy': 0.835091083413231} |
| 0.0017 | 1320.0 | 442200 | 1.6341 | {'f1': 0.8853754940711462} | {'accuracy': 0.8331735378715245} |
| 0.0026 | 1321.0 | 442535 | 1.6350 | {'f1': 0.8847926267281107} | {'accuracy': 0.8322147651006712} |
| 0.0026 | 1322.0 | 442870 | 1.7476 | {'f1': 0.8842921784098255} | {'accuracy': 0.8283796740172579} |
| 0.0021 | 1323.0 | 443205 | 1.6486 | {'f1': 0.8831683168316831} | {'accuracy': 0.8302972195589645} |
| 0.0023 | 1324.0 | 443540 | 1.6302 | {'f1': 0.8834110592938041} | {'accuracy': 0.8322147651006712} |
| 0.0023 | 1325.0 | 443875 | 1.6211 | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.0065 | 1326.0 | 444210 | 1.6836 | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.0017 | 1327.0 | 444545 | 1.7053 | {'f1': 0.8837209302325582} | {'accuracy': 0.8274209012464045} |
| 0.0017 | 1328.0 | 444880 | 1.6363 | {'f1': 0.8864229765013055} | {'accuracy': 0.8331735378715245} |
| 0.0018 | 1329.0 | 445215 | 1.6145 | {'f1': 0.8849206349206349} | {'accuracy': 0.8331735378715245} |
| 0.0016 | 1330.0 | 445550 | 1.6352 | {'f1': 0.8885959129861568} | {'accuracy': 0.837967401725791} |
| 0.0016 | 1331.0 | 445885 | 1.7131 | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0016 | 1332.0 | 446220 | 1.7232 | {'f1': 0.88296488946684} | {'accuracy': 0.8274209012464045} |
| 0.0016 | 1333.0 | 446555 | 1.7374 | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0016 | 1334.0 | 446890 | 1.7155 | {'f1': 0.88296488946684} | {'accuracy': 0.8274209012464045} |
| 0.0023 | 1335.0 | 447225 | 1.6580 | {'f1': 0.8855263157894737} | {'accuracy': 0.8331735378715245} |
| 0.0019 | 1336.0 | 447560 | 1.7162 | {'f1': 0.8852672750977836} | {'accuracy': 0.8312559923298178} |
| 0.0019 | 1337.0 | 447895 | 1.6501 | {'f1': 0.8871287128712871} | {'accuracy': 0.8360498561840843} |
| 0.002 | 1338.0 | 448230 | 1.7218 | {'f1': 0.884967320261438} | {'accuracy': 0.8312559923298178} |
| 0.0025 | 1339.0 | 448565 | 1.6827 | {'f1': 0.8855263157894737} | {'accuracy': 0.8331735378715245} |
| 0.0025 | 1340.0 | 448900 | 1.6526 | {'f1': 0.8865435356200528} | {'accuracy': 0.835091083413231} |
| 0.0029 | 1341.0 | 449235 | 1.7285 | {'f1': 0.882084690553746} | {'accuracy': 0.8264621284755513} |
| 0.0025 | 1342.0 | 449570 | 1.6702 | {'f1': 0.8846407382992749} | {'accuracy': 0.8322147651006712} |
| 0.0025 | 1343.0 | 449905 | 1.6957 | {'f1': 0.8828947368421053} | {'accuracy': 0.8293384467881112} |
| 0.0039 | 1344.0 | 450240 | 1.7932 | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0014 | 1345.0 | 450575 | 1.7826 | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0014 | 1346.0 | 450910 | 1.7107 | {'f1': 0.8847926267281107} | {'accuracy': 0.8322147651006712} |
| 0.0018 | 1347.0 | 451245 | 1.7978 | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0024 | 1348.0 | 451580 | 1.7309 | {'f1': 0.8852459016393444} | {'accuracy': 0.8322147651006712} |
| 0.0024 | 1349.0 | 451915 | 1.7335 | {'f1': 0.8875816993464052} | {'accuracy': 0.835091083413231} |
| 0.0036 | 1350.0 | 452250 | 1.8606 | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.004 | 1351.0 | 452585 | 1.7247 | {'f1': 0.8870019595035924} | {'accuracy': 0.8341323106423778} |
| 0.004 | 1352.0 | 452920 | 1.7836 | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0024 | 1353.0 | 453255 | 1.6424 | {'f1': 0.8852023888520238} | {'accuracy': 0.8341323106423778} |
| 0.0032 | 1354.0 | 453590 | 1.8401 | {'f1': 0.8786127167630058} | {'accuracy': 0.8187919463087249} |
| 0.0032 | 1355.0 | 453925 | 1.7008 | {'f1': 0.8871391076115486} | {'accuracy': 0.835091083413231} |
| 0.0022 | 1356.0 | 454260 | 1.8063 | {'f1': 0.8800000000000001} | {'accuracy': 0.8216682646212847} |
| 0.0015 | 1357.0 | 454595 | 1.7254 | {'f1': 0.886408404464872} | {'accuracy': 0.8341323106423778} |
| 0.0015 | 1358.0 | 454930 | 1.7392 | {'f1': 0.8871391076115486} | {'accuracy': 0.835091083413231} |
| 0.0015 | 1359.0 | 455265 | 1.7593 | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.0035 | 1360.0 | 455600 | 1.7062 | {'f1': 0.8850952068286276} | {'accuracy': 0.8322147651006712} |
| 0.0035 | 1361.0 | 455935 | 1.8376 | {'f1': 0.8771704180064309} | {'accuracy': 0.8168744007670182} |
| 0.0015 | 1362.0 | 456270 | 1.8939 | {'f1': 0.8753993610223643} | {'accuracy': 0.8130393096836049} |
| 0.002 | 1363.0 | 456605 | 1.8197 | {'f1': 0.8783000643915004} | {'accuracy': 0.8187919463087249} |
| 0.002 | 1364.0 | 456940 | 1.6470 | {'f1': 0.8877146631439895} | {'accuracy': 0.8370086289549377} |
| 0.0037 | 1365.0 | 457275 | 1.6349 | {'f1': 0.8896232650363516} | {'accuracy': 0.8398849472674976} |
| 0.0015 | 1366.0 | 457610 | 1.8006 | {'f1': 0.8822768434670116} | {'accuracy': 0.825503355704698} |
| 0.0015 | 1367.0 | 457945 | 1.6868 | {'f1': 0.8883048620236531} | {'accuracy': 0.8370086289549377} |
| 0.0021 | 1368.0 | 458280 | 1.7300 | {'f1': 0.8855461085676913} | {'accuracy': 0.8322147651006712} |
| 0.0016 | 1369.0 | 458615 | 1.6886 | {'f1': 0.8906455862977603} | {'accuracy': 0.840843720038351} |
| 0.0016 | 1370.0 | 458950 | 1.7364 | {'f1': 0.8878748370273793} | {'accuracy': 0.835091083413231} |
| 0.004 | 1371.0 | 459285 | 1.6351 | {'f1': 0.8906560636182903} | {'accuracy': 0.8418024928092043} |
| 0.0026 | 1372.0 | 459620 | 1.6329 | {'f1': 0.8906560636182903} | {'accuracy': 0.8418024928092043} |
| 0.0026 | 1373.0 | 459955 | 1.7231 | {'f1': 0.8859934853420196} | {'accuracy': 0.8322147651006712} |
| 0.0022 | 1374.0 | 460290 | 1.6809 | {'f1': 0.8885959129861568} | {'accuracy': 0.837967401725791} |
| 0.0016 | 1375.0 | 460625 | 1.7033 | {'f1': 0.886259040105194} | {'accuracy': 0.8341323106423778} |
| 0.0016 | 1376.0 | 460960 | 1.8204 | {'f1': 0.8798449612403101} | {'accuracy': 0.8216682646212847} |
| 0.0034 | 1377.0 | 461295 | 1.8108 | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0028 | 1378.0 | 461630 | 1.6920 | {'f1': 0.888597640891219} | {'accuracy': 0.8370086289549377} |
| 0.0028 | 1379.0 | 461965 | 1.7447 | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0014 | 1380.0 | 462300 | 1.7324 | {'f1': 0.8858447488584474} | {'accuracy': 0.8322147651006712} |
| 0.0042 | 1381.0 | 462635 | 1.7074 | {'f1': 0.8897637795275591} | {'accuracy': 0.8389261744966443} |
| 0.0042 | 1382.0 | 462970 | 1.7171 | {'f1': 0.884967320261438} | {'accuracy': 0.8312559923298178} |
| 0.0034 | 1383.0 | 463305 | 1.6497 | {'f1': 0.8877146631439895} | {'accuracy': 0.8370086289549377} |
| 0.0026 | 1384.0 | 463640 | 1.7298 | {'f1': 0.8828125} | {'accuracy': 0.8274209012464045} |
| 0.0026 | 1385.0 | 463975 | 1.7965 | {'f1': 0.8808290155440415} | {'accuracy': 0.8235858101629914} |
| 0.0016 | 1386.0 | 464310 | 1.6762 | {'f1': 0.8877146631439895} | {'accuracy': 0.8370086289549377} |
| 0.0023 | 1387.0 | 464645 | 1.6887 | {'f1': 0.8844621513944223} | {'accuracy': 0.8331735378715245} |
| 0.0023 | 1388.0 | 464980 | 1.6969 | {'f1': 0.8890347997373604} | {'accuracy': 0.837967401725791} |
| 0.0025 | 1389.0 | 465315 | 1.7113 | {'f1': 0.8878688524590164} | {'accuracy': 0.8360498561840843} |
| 0.0022 | 1390.0 | 465650 | 1.7995 | {'f1': 0.8837209302325582} | {'accuracy': 0.8274209012464045} |
| 0.0022 | 1391.0 | 465985 | 1.6902 | {'f1': 0.8863936591809775} | {'accuracy': 0.835091083413231} |
| 0.0027 | 1392.0 | 466320 | 1.7445 | {'f1': 0.8839634941329856} | {'accuracy': 0.8293384467881112} |
| 0.0025 | 1393.0 | 466655 | 1.8855 | {'f1': 0.8782051282051283} | {'accuracy': 0.8178331735378715} |
| 0.0025 | 1394.0 | 466990 | 1.7956 | {'f1': 0.8832684824902725} | {'accuracy': 0.8274209012464045} |
| 0.003 | 1395.0 | 467325 | 1.7950 | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698} |
| 0.0023 | 1396.0 | 467660 | 1.7919 | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0023 | 1397.0 | 467995 | 1.9467 | {'f1': 0.8759590792838876} | {'accuracy': 0.8139980824544583} |
| 0.0033 | 1398.0 | 468330 | 1.7958 | {'f1': 0.8831504196255648} | {'accuracy': 0.8264621284755513} |
| 0.005 | 1399.0 | 468665 | 1.6945 | {'f1': 0.8858447488584474} | {'accuracy': 0.8322147651006712} |
| 0.0031 | 1400.0 | 469000 | 1.7097 | {'f1': 0.8858447488584474} | {'accuracy': 0.8322147651006712} |
| 0.0031 | 1401.0 | 469335 | 1.7022 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0016 | 1402.0 | 469670 | 1.7029 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0062 | 1403.0 | 470005 | 1.6040 | {'f1': 0.8844621513944223} | {'accuracy': 0.8331735378715245} |
| 0.0062 | 1404.0 | 470340 | 1.6532 | {'f1': 0.8856767411300921} | {'accuracy': 0.8331735378715245} |
| 0.0014 | 1405.0 | 470675 | 1.6692 | {'f1': 0.886408404464872} | {'accuracy': 0.8341323106423778} |
| 0.0022 | 1406.0 | 471010 | 1.7241 | {'f1': 0.8855656697009102} | {'accuracy': 0.8312559923298178} |
| 0.0022 | 1407.0 | 471345 | 1.7169 | {'f1': 0.8872964169381107} | {'accuracy': 0.8341323106423778} |
| 0.0026 | 1408.0 | 471680 | 1.6779 | {'f1': 0.885396201702685} | {'accuracy': 0.8322147651006712} |
| 0.0032 | 1409.0 | 472015 | 1.6913 | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.0032 | 1410.0 | 472350 | 1.7031 | {'f1': 0.8852672750977836} | {'accuracy': 0.8312559923298178} |
| 0.0014 | 1411.0 | 472685 | 1.6634 | {'f1': 0.8883048620236531} | {'accuracy': 0.8370086289549377} |
| 0.0019 | 1412.0 | 473020 | 1.6079 | {'f1': 0.884589726484323} | {'accuracy': 0.8341323106423778} |
| 0.0019 | 1413.0 | 473355 | 1.6821 | {'f1': 0.8872870249017039} | {'accuracy': 0.835091083413231} |
| 0.0031 | 1414.0 | 473690 | 1.6891 | {'f1': 0.8872870249017039} | {'accuracy': 0.835091083413231} |
| 0.002 | 1415.0 | 474025 | 1.7140 | {'f1': 0.8868541530412034} | {'accuracy': 0.8341323106423778} |
| 0.002 | 1416.0 | 474360 | 1.7157 | {'f1': 0.8868541530412034} | {'accuracy': 0.8341323106423778} |
| 0.0017 | 1417.0 | 474695 | 1.7438 | {'f1': 0.8859934853420196} | {'accuracy': 0.8322147651006712} |
| 0.0028 | 1418.0 | 475030 | 1.7873 | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0028 | 1419.0 | 475365 | 1.7354 | {'f1': 0.887434554973822} | {'accuracy': 0.835091083413231} |
| 0.0016 | 1420.0 | 475700 | 1.7172 | {'f1': 0.8835978835978837} | {'accuracy': 0.8312559923298178} |
| 0.0029 | 1421.0 | 476035 | 1.8101 | {'f1': 0.8783958602846055} | {'accuracy': 0.8197507190795782} |
| 0.0029 | 1422.0 | 476370 | 1.7355 | {'f1': 0.8839344262295081} | {'accuracy': 0.8302972195589645} |
| 0.0019 | 1423.0 | 476705 | 1.7820 | {'f1': 0.88296488946684} | {'accuracy': 0.8274209012464045} |
| 0.0017 | 1424.0 | 477040 | 1.7999 | {'f1': 0.880103694102398} | {'accuracy': 0.822627037392138} |
| 0.0017 | 1425.0 | 477375 | 1.8347 | {'f1': 0.8819714656290532} | {'accuracy': 0.825503355704698} |
| 0.0014 | 1426.0 | 477710 | 1.7870 | {'f1': 0.8842380640941793} | {'accuracy': 0.8302972195589645} |
| 0.0015 | 1427.0 | 478045 | 1.7585 | {'f1': 0.8843626806833115} | {'accuracy': 0.8312559923298178} |
| 0.0015 | 1428.0 | 478380 | 1.6916 | {'f1': 0.8825481088254811} | {'accuracy': 0.8302972195589645} |
| 0.0027 | 1429.0 | 478715 | 1.7298 | {'f1': 0.8849441157133465} | {'accuracy': 0.8322147651006712} |
| 0.0025 | 1430.0 | 479050 | 1.9056 | {'f1': 0.8747591522157996} | {'accuracy': 0.8130393096836049} |
| 0.0025 | 1431.0 | 479385 | 1.7934 | {'f1': 0.8835393623942747} | {'accuracy': 0.8283796740172579} |
| 0.0034 | 1432.0 | 479720 | 1.7889 | {'f1': 0.8841145833333333} | {'accuracy': 0.8293384467881112} |
| 0.0023 | 1433.0 | 480055 | 1.7758 | {'f1': 0.8830829523187459} | {'accuracy': 0.8283796740172579} |
| 0.0023 | 1434.0 | 480390 | 1.7555 | {'f1': 0.884967320261438} | {'accuracy': 0.8312559923298178} |
| 0.0023 | 1435.0 | 480725 | 1.8154 | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0017 | 1436.0 | 481060 | 1.7982 | {'f1': 0.8828125} | {'accuracy': 0.8274209012464045} |
| 0.0017 | 1437.0 | 481395 | 1.7644 | {'f1': 0.8875816993464052} | {'accuracy': 0.835091083413231} |
| 0.0028 | 1438.0 | 481730 | 1.8388 | {'f1': 0.8784565916398713} | {'accuracy': 0.8187919463087249} |
| 0.0017 | 1439.0 | 482065 | 1.8311 | {'f1': 0.8779857972885732} | {'accuracy': 0.8187919463087249} |
| 0.0017 | 1440.0 | 482400 | 1.7660 | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.0027 | 1441.0 | 482735 | 1.7529 | {'f1': 0.8855461085676913} | {'accuracy': 0.8322147651006712} |
| 0.0019 | 1442.0 | 483070 | 1.7477 | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.0019 | 1443.0 | 483405 | 1.7093 | {'f1': 0.8869908015768725} | {'accuracy': 0.835091083413231} |
| 0.0022 | 1444.0 | 483740 | 1.6986 | {'f1': 0.8875739644970414} | {'accuracy': 0.8360498561840843} |
| 0.0034 | 1445.0 | 484075 | 1.7028 | {'f1': 0.8861092824226466} | {'accuracy': 0.8341323106423778} |
| 0.0034 | 1446.0 | 484410 | 1.7117 | {'f1': 0.886259040105194} | {'accuracy': 0.8341323106423778} |
| 0.0016 | 1447.0 | 484745 | 1.8179 | {'f1': 0.8792769528728211} | {'accuracy': 0.8207094918504314} |
| 0.0026 | 1448.0 | 485080 | 1.6858 | {'f1': 0.8839050131926122} | {'accuracy': 0.8312559923298178} |
| 0.0026 | 1449.0 | 485415 | 1.6966 | {'f1': 0.8853754940711462} | {'accuracy': 0.8331735378715245} |
| 0.0017 | 1450.0 | 485750 | 1.7809 | {'f1': 0.8832684824902725} | {'accuracy': 0.8274209012464045} |
| 0.0028 | 1451.0 | 486085 | 1.6901 | {'f1': 0.8847926267281107} | {'accuracy': 0.8322147651006712} |
| 0.0028 | 1452.0 | 486420 | 1.6931 | {'f1': 0.8861092824226466} | {'accuracy': 0.8341323106423778} |
| 0.0037 | 1453.0 | 486755 | 1.6848 | {'f1': 0.883322346736981} | {'accuracy': 0.8302972195589645} |
| 0.0027 | 1454.0 | 487090 | 1.7625 | {'f1': 0.8857142857142858} | {'accuracy': 0.8312559923298178} |
| 0.0027 | 1455.0 | 487425 | 1.7548 | {'f1': 0.881664499349805} | {'accuracy': 0.825503355704698} |
| 0.0029 | 1456.0 | 487760 | 1.6995 | {'f1': 0.8850952068286276} | {'accuracy': 0.8322147651006712} |
| 0.0017 | 1457.0 | 488095 | 1.7584 | {'f1': 0.8828125} | {'accuracy': 0.8274209012464045} |
| 0.0017 | 1458.0 | 488430 | 1.8234 | {'f1': 0.8801546391752577} | {'accuracy': 0.8216682646212847} |
| 0.0022 | 1459.0 | 488765 | 1.8236 | {'f1': 0.881859264041317} | {'accuracy': 0.8245445829338447} |
| 0.0015 | 1460.0 | 489100 | 1.6924 | {'f1': 0.8859591298615689} | {'accuracy': 0.8341323106423778} |
| 0.0015 | 1461.0 | 489435 | 1.7238 | {'f1': 0.8865573770491804} | {'accuracy': 0.8341323106423778} |
| 0.0018 | 1462.0 | 489770 | 1.6926 | {'f1': 0.8861092824226466} | {'accuracy': 0.8341323106423778} |
| 0.0028 | 1463.0 | 490105 | 1.6881 | {'f1': 0.8872775214238628} | {'accuracy': 0.8360498561840843} |
| 0.0028 | 1464.0 | 490440 | 1.7862 | {'f1': 0.8822768434670116} | {'accuracy': 0.825503355704698} |
| 0.0021 | 1465.0 | 490775 | 1.6801 | {'f1': 0.8880105401844532} | {'accuracy': 0.8370086289549377} |
| 0.0022 | 1466.0 | 491110 | 1.6993 | {'f1': 0.8880157170923381} | {'accuracy': 0.8360498561840843} |
| 0.0022 | 1467.0 | 491445 | 1.7852 | {'f1': 0.8848641655886158} | {'accuracy': 0.8293384467881112} |
| 0.0018 | 1468.0 | 491780 | 1.6797 | {'f1': 0.8878688524590164} | {'accuracy': 0.8360498561840843} |
| 0.0019 | 1469.0 | 492115 | 1.6253 | {'f1': 0.8877146631439895} | {'accuracy': 0.8370086289549377} |
| 0.0019 | 1470.0 | 492450 | 1.6399 | {'f1': 0.8899143045484509} | {'accuracy': 0.8398849472674976} |
| 0.0015 | 1471.0 | 492785 | 1.5905 | {'f1': 0.8842530282637953} | {'accuracy': 0.835091083413231} |
| 0.0032 | 1472.0 | 493120 | 1.6880 | {'f1': 0.8859764089121887} | {'accuracy': 0.8331735378715245} |
| 0.0032 | 1473.0 | 493455 | 1.6965 | {'f1': 0.8868541530412034} | {'accuracy': 0.8341323106423778} |
| 0.0013 | 1474.0 | 493790 | 1.7186 | {'f1': 0.8872964169381107} | {'accuracy': 0.8341323106423778} |
| 0.0017 | 1475.0 | 494125 | 1.9267 | {'f1': 0.8773946360153257} | {'accuracy': 0.8159156279961649} |
| 0.0017 | 1476.0 | 494460 | 1.7098 | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0025 | 1477.0 | 494795 | 1.7272 | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0017 | 1478.0 | 495130 | 1.7464 | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0017 | 1479.0 | 495465 | 1.7622 | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0037 | 1480.0 | 495800 | 1.7577 | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.0028 | 1481.0 | 496135 | 1.6990 | {'f1': 0.8867059593975114} | {'accuracy': 0.8341323106423778} |
| 0.0028 | 1482.0 | 496470 | 1.6621 | {'f1': 0.8874172185430463} | {'accuracy': 0.8370086289549377} |
| 0.0025 | 1483.0 | 496805 | 1.6577 | {'f1': 0.8866799204771372} | {'accuracy': 0.8360498561840843} |
| 0.0014 | 1484.0 | 497140 | 1.6657 | {'f1': 0.886829913964262} | {'accuracy': 0.8360498561840843} |
| 0.0014 | 1485.0 | 497475 | 1.6798 | {'f1': 0.8862433862433863} | {'accuracy': 0.835091083413231} |
| 0.0016 | 1486.0 | 497810 | 1.7069 | {'f1': 0.8852242744063324} | {'accuracy': 0.8331735378715245} |
| 0.0017 | 1487.0 | 498145 | 1.7363 | {'f1': 0.8871391076115486} | {'accuracy': 0.835091083413231} |
| 0.0017 | 1488.0 | 498480 | 1.7298 | {'f1': 0.8855461085676913} | {'accuracy': 0.8322147651006712} |
| 0.0026 | 1489.0 | 498815 | 1.7036 | {'f1': 0.8828590337524818} | {'accuracy': 0.8302972195589645} |
| 0.0016 | 1490.0 | 499150 | 1.7324 | {'f1': 0.8839344262295081} | {'accuracy': 0.8302972195589645} |
| 0.0016 | 1491.0 | 499485 | 1.6758 | {'f1': 0.882786336235767} | {'accuracy': 0.8322147651006712} |
| 0.0016 | 1492.0 | 499820 | 1.7096 | {'f1': 0.8812209688122097} | {'accuracy': 0.8283796740172579} |
| 0.0016 | 1493.0 | 500155 | 1.7135 | {'f1': 0.8812209688122097} | {'accuracy': 0.8283796740172579} |
| 0.0016 | 1494.0 | 500490 | 1.7094 | {'f1': 0.8849206349206349} | {'accuracy': 0.8331735378715245} |
| 0.0023 | 1495.0 | 500825 | 1.8905 | {'f1': 0.8798972382787411} | {'accuracy': 0.8207094918504314} |
| 0.003 | 1496.0 | 501160 | 1.8150 | {'f1': 0.8811369509043928} | {'accuracy': 0.8235858101629914} |
| 0.003 | 1497.0 | 501495 | 1.8051 | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0023 | 1498.0 | 501830 | 1.7485 | {'f1': 0.8845144356955381} | {'accuracy': 0.8312559923298178} |
| 0.0027 | 1499.0 | 502165 | 1.7361 | {'f1': 0.8839050131926122} | {'accuracy': 0.8312559923298178} |
| 0.0023 | 1500.0 | 502500 | 1.7502 | {'f1': 0.8856767411300921} | {'accuracy': 0.8331735378715245} |
| 0.0023 | 1501.0 | 502835 | 1.8477 | {'f1': 0.881859264041317} | {'accuracy': 0.8245445829338447} |
| 0.003 | 1502.0 | 503170 | 1.7844 | {'f1': 0.8810916179337233} | {'accuracy': 0.8245445829338447} |
| 0.0014 | 1503.0 | 503505 | 1.7397 | {'f1': 0.8859764089121887} | {'accuracy': 0.8331735378715245} |
| 0.0014 | 1504.0 | 503840 | 1.7357 | {'f1': 0.8868421052631579} | {'accuracy': 0.835091083413231} |
| 0.0016 | 1505.0 | 504175 | 1.7151 | {'f1': 0.88433575677462} | {'accuracy': 0.8322147651006712} |
| 0.0018 | 1506.0 | 504510 | 1.7394 | {'f1': 0.8869908015768725} | {'accuracy': 0.835091083413231} |
| 0.0018 | 1507.0 | 504845 | 1.8398 | {'f1': 0.8827319587628866} | {'accuracy': 0.825503355704698} |
| 0.0036 | 1508.0 | 505180 | 1.7135 | {'f1': 0.8897637795275591} | {'accuracy': 0.8389261744966443} |
| 0.003 | 1509.0 | 505515 | 1.7473 | {'f1': 0.8912052117263843} | {'accuracy': 0.8398849472674976} |
| 0.003 | 1510.0 | 505850 | 1.7262 | {'f1': 0.8904823989569751} | {'accuracy': 0.8389261744966443} |
| 0.0027 | 1511.0 | 506185 | 1.7378 | {'f1': 0.8900455432661027} | {'accuracy': 0.837967401725791} |
| 0.0017 | 1512.0 | 506520 | 1.7261 | {'f1': 0.8894702419882277} | {'accuracy': 0.837967401725791} |
| 0.0017 | 1513.0 | 506855 | 1.7393 | {'f1': 0.8904823989569751} | {'accuracy': 0.8389261744966443} |
| 0.0013 | 1514.0 | 507190 | 1.7156 | {'f1': 0.8859591298615689} | {'accuracy': 0.8341323106423778} |
| 0.0024 | 1515.0 | 507525 | 1.7347 | {'f1': 0.8865573770491804} | {'accuracy': 0.8341323106423778} |
| 0.0024 | 1516.0 | 507860 | 1.7451 | {'f1': 0.8871391076115486} | {'accuracy': 0.835091083413231} |
| 0.0036 | 1517.0 | 508195 | 1.7153 | {'f1': 0.8793103448275862} | {'accuracy': 0.825503355704698} |
| 0.0019 | 1518.0 | 508530 | 1.7500 | {'f1': 0.8843626806833115} | {'accuracy': 0.8312559923298178} |
| 0.0019 | 1519.0 | 508865 | 1.7322 | {'f1': 0.8793565683646113} | {'accuracy': 0.8274209012464045} |
| 0.0023 | 1520.0 | 509200 | 1.7401 | {'f1': 0.8800530152418821} | {'accuracy': 0.8264621284755513} |
| 0.0025 | 1521.0 | 509535 | 1.7824 | {'f1': 0.8841145833333333} | {'accuracy': 0.8293384467881112} |
| 0.0025 | 1522.0 | 509870 | 1.7498 | {'f1': 0.8829300196206671} | {'accuracy': 0.8283796740172579} |
| 0.0024 | 1523.0 | 510205 | 1.7878 | {'f1': 0.8851395197923426} | {'accuracy': 0.8302972195589645} |
| 0.0025 | 1524.0 | 510540 | 1.7520 | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.0025 | 1525.0 | 510875 | 1.7280 | {'f1': 0.8788282290279628} | {'accuracy': 0.825503355704698} |
| 0.0015 | 1526.0 | 511210 | 1.7614 | {'f1': 0.8846657929226737} | {'accuracy': 0.8312559923298178} |
| 0.0021 | 1527.0 | 511545 | 1.7547 | {'f1': 0.8846657929226737} | {'accuracy': 0.8312559923298178} |
| 0.0021 | 1528.0 | 511880 | 1.7802 | {'f1': 0.8859934853420196} | {'accuracy': 0.8322147651006712} |
| 0.0021 | 1529.0 | 512215 | 1.7649 | {'f1': 0.884967320261438} | {'accuracy': 0.8312559923298178} |
| 0.0021 | 1530.0 | 512550 | 1.7931 | {'f1': 0.8857142857142858} | {'accuracy': 0.8312559923298178} |
| 0.0021 | 1531.0 | 512885 | 1.8428 | {'f1': 0.8842921784098255} | {'accuracy': 0.8283796740172579} |
| 0.0013 | 1532.0 | 513220 | 1.7752 | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0019 | 1533.0 | 513555 | 1.8193 | {'f1': 0.8857142857142858} | {'accuracy': 0.8312559923298178} |
| 0.0019 | 1534.0 | 513890 | 1.7897 | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0021 | 1535.0 | 514225 | 1.7640 | {'f1': 0.8829300196206671} | {'accuracy': 0.8283796740172579} |
| 0.0014 | 1536.0 | 514560 | 1.7952 | {'f1': 0.8835393623942747} | {'accuracy': 0.8283796740172579} |
| 0.0014 | 1537.0 | 514895 | 1.7696 | {'f1': 0.8832354859752121} | {'accuracy': 0.8283796740172579} |
| 0.0046 | 1538.0 | 515230 | 1.7476 | {'f1': 0.8826229508196721} | {'accuracy': 0.8283796740172579} |
| 0.0026 | 1539.0 | 515565 | 1.7701 | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.0026 | 1540.0 | 515900 | 1.7135 | {'f1': 0.8813333333333333} | {'accuracy': 0.8293384467881112} |
| 0.0023 | 1541.0 | 516235 | 1.7216 | {'f1': 0.8852242744063324} | {'accuracy': 0.8331735378715245} |
| 0.0015 | 1542.0 | 516570 | 1.7327 | {'f1': 0.8834759710335748} | {'accuracy': 0.8302972195589645} |
| 0.0015 | 1543.0 | 516905 | 1.9153 | {'f1': 0.8810289389067525} | {'accuracy': 0.822627037392138} |
| 0.0023 | 1544.0 | 517240 | 1.9283 | {'f1': 0.8814862267777066} | {'accuracy': 0.822627037392138} |
| 0.0013 | 1545.0 | 517575 | 1.7775 | {'f1': 0.8835393623942747} | {'accuracy': 0.8283796740172579} |
| 0.0013 | 1546.0 | 517910 | 1.7782 | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0021 | 1547.0 | 518245 | 1.7321 | {'f1': 0.8839050131926122} | {'accuracy': 0.8312559923298178} |
| 0.0037 | 1548.0 | 518580 | 1.7306 | {'f1': 0.8824306472919419} | {'accuracy': 0.8293384467881112} |
| 0.0037 | 1549.0 | 518915 | 1.7853 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0022 | 1550.0 | 519250 | 1.7888 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0022 | 1551.0 | 519585 | 1.7722 | {'f1': 0.8836601307189542} | {'accuracy': 0.8293384467881112} |
| 0.0022 | 1552.0 | 519920 | 1.8264 | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0022 | 1553.0 | 520255 | 1.8034 | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0017 | 1554.0 | 520590 | 1.8151 | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0017 | 1555.0 | 520925 | 1.7742 | {'f1': 0.8823529411764706} | {'accuracy': 0.8274209012464045} |
| 0.0018 | 1556.0 | 521260 | 1.7667 | {'f1': 0.8814669286182057} | {'accuracy': 0.8264621284755513} |
| 0.0042 | 1557.0 | 521595 | 1.8058 | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0042 | 1558.0 | 521930 | 1.8213 | {'f1': 0.8847150259067358} | {'accuracy': 0.8293384467881112} |
| 0.0018 | 1559.0 | 522265 | 1.8251 | {'f1': 0.8850129198966409} | {'accuracy': 0.8293384467881112} |
| 0.0022 | 1560.0 | 522600 | 1.8970 | {'f1': 0.8864656831302116} | {'accuracy': 0.8302972195589645} |
| 0.0022 | 1561.0 | 522935 | 1.7577 | {'f1': 0.881311475409836} | {'accuracy': 0.8264621284755513} |
| 0.0022 | 1562.0 | 523270 | 1.7610 | {'f1': 0.8817345597897503} | {'accuracy': 0.8274209012464045} |
| 0.0018 | 1563.0 | 523605 | 1.8030 | {'f1': 0.8799480856586632} | {'accuracy': 0.822627037392138} |
| 0.0018 | 1564.0 | 523940 | 1.8052 | {'f1': 0.880674448767834} | {'accuracy': 0.8235858101629914} |
| 0.0016 | 1565.0 | 524275 | 1.8718 | {'f1': 0.8817480719794344} | {'accuracy': 0.8235858101629914} |
| 0.0028 | 1566.0 | 524610 | 1.7997 | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0028 | 1567.0 | 524945 | 1.8031 | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0019 | 1568.0 | 525280 | 1.7343 | {'f1': 0.8827037773359842} | {'accuracy': 0.8302972195589645} |
| 0.0017 | 1569.0 | 525615 | 1.7383 | {'f1': 0.8818481848184818} | {'accuracy': 0.8283796740172579} |
| 0.0017 | 1570.0 | 525950 | 1.7713 | {'f1': 0.8832354859752121} | {'accuracy': 0.8283796740172579} |
| 0.0027 | 1571.0 | 526285 | 1.7856 | {'f1': 0.8813559322033898} | {'accuracy': 0.825503355704698} |
| 0.0025 | 1572.0 | 526620 | 1.7484 | {'f1': 0.8849441157133465} | {'accuracy': 0.8322147651006712} |
| 0.0025 | 1573.0 | 526955 | 1.7433 | {'f1': 0.8847926267281107} | {'accuracy': 0.8322147651006712} |
| 0.0015 | 1574.0 | 527290 | 1.7106 | {'f1': 0.885506287227002} | {'accuracy': 0.8341323106423778} |
| 0.002 | 1575.0 | 527625 | 1.7500 | {'f1': 0.8843626806833115} | {'accuracy': 0.8312559923298178} |
| 0.002 | 1576.0 | 527960 | 1.7366 | {'f1': 0.8840579710144927} | {'accuracy': 0.8312559923298178} |
| 0.0018 | 1577.0 | 528295 | 1.8085 | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698} |
| 0.0025 | 1578.0 | 528630 | 1.8183 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0025 | 1579.0 | 528965 | 1.8005 | {'f1': 0.8823911630929175} | {'accuracy': 0.8264621284755513} |
| 0.0016 | 1580.0 | 529300 | 1.8099 | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.0016 | 1581.0 | 529635 | 1.8000 | {'f1': 0.8832354859752121} | {'accuracy': 0.8283796740172579} |
| 0.0016 | 1582.0 | 529970 | 1.7656 | {'f1': 0.8858267716535433} | {'accuracy': 0.8331735378715245} |
| 0.0018 | 1583.0 | 530305 | 1.7619 | {'f1': 0.8875739644970414} | {'accuracy': 0.8360498561840843} |
| 0.0027 | 1584.0 | 530640 | 1.8659 | {'f1': 0.8838709677419355} | {'accuracy': 0.8274209012464045} |
| 0.0027 | 1585.0 | 530975 | 1.9368 | {'f1': 0.8802049967969251} | {'accuracy': 0.8207094918504314} |
| 0.0022 | 1586.0 | 531310 | 1.8092 | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0014 | 1587.0 | 531645 | 1.7587 | {'f1': 0.8846407382992749} | {'accuracy': 0.8322147651006712} |
| 0.0014 | 1588.0 | 531980 | 1.7593 | {'f1': 0.8844884488448844} | {'accuracy': 0.8322147651006712} |
| 0.002 | 1589.0 | 532315 | 1.7504 | {'f1': 0.8856576338400529} | {'accuracy': 0.8341323106423778} |
| 0.0029 | 1590.0 | 532650 | 1.8576 | {'f1': 0.8820116054158607} | {'accuracy': 0.8245445829338447} |
| 0.0029 | 1591.0 | 532985 | 1.8579 | {'f1': 0.8820116054158607} | {'accuracy': 0.8245445829338447} |
| 0.0028 | 1592.0 | 533320 | 1.7852 | {'f1': 0.8819308545335943} | {'accuracy': 0.8264621284755513} |
| 0.0019 | 1593.0 | 533655 | 1.8312 | {'f1': 0.8845654993514916} | {'accuracy': 0.8293384467881112} |
| 0.0019 | 1594.0 | 533990 | 1.8185 | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0015 | 1595.0 | 534325 | 1.8286 | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.0016 | 1596.0 | 534660 | 1.7812 | {'f1': 0.8846657929226737} | {'accuracy': 0.8312559923298178} |
| 0.0016 | 1597.0 | 534995 | 1.7121 | {'f1': 0.8859239492995331} | {'accuracy': 0.8360498561840843} |
| 0.0031 | 1598.0 | 535330 | 1.7505 | {'f1': 0.8865435356200528} | {'accuracy': 0.835091083413231} |
| 0.0024 | 1599.0 | 535665 | 1.7722 | {'f1': 0.8861092824226466} | {'accuracy': 0.8341323106423778} |
| 0.0018 | 1600.0 | 536000 | 1.7991 | {'f1': 0.8855461085676913} | {'accuracy': 0.8322147651006712} |
| 0.0018 | 1601.0 | 536335 | 1.7896 | {'f1': 0.8858267716535433} | {'accuracy': 0.8331735378715245} |
| 0.0027 | 1602.0 | 536670 | 1.7567 | {'f1': 0.8850726552179656} | {'accuracy': 0.8331735378715245} |
| 0.0034 | 1603.0 | 537005 | 1.7735 | {'f1': 0.8871391076115486} | {'accuracy': 0.835091083413231} |
| 0.0034 | 1604.0 | 537340 | 1.7833 | {'f1': 0.888597640891219} | {'accuracy': 0.8370086289549377} |
| 0.0036 | 1605.0 | 537675 | 1.7943 | {'f1': 0.8877284595300261} | {'accuracy': 0.835091083413231} |
| 0.0017 | 1606.0 | 538010 | 1.8458 | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.0017 | 1607.0 | 538345 | 1.8366 | {'f1': 0.8845654993514916} | {'accuracy': 0.8293384467881112} |
| 0.0018 | 1608.0 | 538680 | 1.8458 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.0019 | 1609.0 | 539015 | 1.8213 | {'f1': 0.8862897985705004} | {'accuracy': 0.8322147651006712} |
| 0.0019 | 1610.0 | 539350 | 1.8045 | {'f1': 0.8855656697009102} | {'accuracy': 0.8312559923298178} |
| 0.002 | 1611.0 | 539685 | 1.8566 | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.0012 | 1612.0 | 540020 | 1.9060 | {'f1': 0.8827674567584881} | {'accuracy': 0.8245445829338447} |
| 0.0012 | 1613.0 | 540355 | 1.8649 | {'f1': 0.8864516129032257} | {'accuracy': 0.8312559923298178} |
| 0.0023 | 1614.0 | 540690 | 1.8564 | {'f1': 0.8864516129032257} | {'accuracy': 0.8312559923298178} |
| 0.0021 | 1615.0 | 541025 | 1.7985 | {'f1': 0.8862897985705004} | {'accuracy': 0.8322147651006712} |
| 0.0021 | 1616.0 | 541360 | 1.8464 | {'f1': 0.8848641655886158} | {'accuracy': 0.8293384467881112} |
| 0.0012 | 1617.0 | 541695 | 1.8302 | {'f1': 0.8862897985705004} | {'accuracy': 0.8322147651006712} |
| 0.0028 | 1618.0 | 542030 | 1.7613 | {'f1': 0.8869908015768725} | {'accuracy': 0.835091083413231} |
| 0.0028 | 1619.0 | 542365 | 1.7998 | {'f1': 0.8859934853420196} | {'accuracy': 0.8322147651006712} |
| 0.0029 | 1620.0 | 542700 | 1.8849 | {'f1': 0.8825806451612904} | {'accuracy': 0.825503355704698} |
| 0.0015 | 1621.0 | 543035 | 1.8498 | {'f1': 0.8867313915857605} | {'accuracy': 0.8322147651006712} |
| 0.0015 | 1622.0 | 543370 | 1.8221 | {'f1': 0.88715953307393} | {'accuracy': 0.8331735378715245} |
| 0.0037 | 1623.0 | 543705 | 1.7674 | {'f1': 0.8887434554973821} | {'accuracy': 0.8370086289549377} |
| 0.0019 | 1624.0 | 544040 | 1.7658 | {'f1': 0.8887434554973821} | {'accuracy': 0.8370086289549377} |
| 0.0019 | 1625.0 | 544375 | 1.7336 | {'f1': 0.8887434554973821} | {'accuracy': 0.8370086289549377} |
| 0.0032 | 1626.0 | 544710 | 1.7226 | {'f1': 0.8871391076115486} | {'accuracy': 0.835091083413231} |
| 0.0026 | 1627.0 | 545045 | 1.6854 | {'f1': 0.8819628647214854} | {'accuracy': 0.8293384467881112} |
| 0.0026 | 1628.0 | 545380 | 1.7412 | {'f1': 0.8875816993464052} | {'accuracy': 0.835091083413231} |
| 0.0016 | 1629.0 | 545715 | 1.7498 | {'f1': 0.8890339425587468} | {'accuracy': 0.8370086289549377} |
| 0.0016 | 1630.0 | 546050 | 1.7689 | {'f1': 0.8878748370273793} | {'accuracy': 0.835091083413231} |
| 0.0016 | 1631.0 | 546385 | 1.7637 | {'f1': 0.8875816993464052} | {'accuracy': 0.835091083413231} |
| 0.0027 | 1632.0 | 546720 | 1.7512 | {'f1': 0.8871391076115486} | {'accuracy': 0.835091083413231} |
| 0.0016 | 1633.0 | 547055 | 1.7382 | {'f1': 0.8839050131926122} | {'accuracy': 0.8312559923298178} |
| 0.0016 | 1634.0 | 547390 | 1.7454 | {'f1': 0.8856767411300921} | {'accuracy': 0.8331735378715245} |
| 0.0026 | 1635.0 | 547725 | 1.7604 | {'f1': 0.8872870249017039} | {'accuracy': 0.835091083413231} |
| 0.0015 | 1636.0 | 548060 | 1.7915 | {'f1': 0.8870019595035924} | {'accuracy': 0.8341323106423778} |
| 0.0015 | 1637.0 | 548395 | 1.7890 | {'f1': 0.8883082952318746} | {'accuracy': 0.8360498561840843} |
| 0.0018 | 1638.0 | 548730 | 1.7836 | {'f1': 0.8875816993464052} | {'accuracy': 0.835091083413231} |
| 0.0016 | 1639.0 | 549065 | 1.7746 | {'f1': 0.8872870249017039} | {'accuracy': 0.835091083413231} |
| 0.0016 | 1640.0 | 549400 | 1.7700 | {'f1': 0.8880157170923381} | {'accuracy': 0.8360498561840843} |
| 0.0013 | 1641.0 | 549735 | 1.7789 | {'f1': 0.8867059593975114} | {'accuracy': 0.8341323106423778} |
| 0.0019 | 1642.0 | 550070 | 1.8184 | {'f1': 0.8874430709173715} | {'accuracy': 0.8341323106423778} |
| 0.0019 | 1643.0 | 550405 | 1.8149 | {'f1': 0.88671875} | {'accuracy': 0.8331735378715245} |
| 0.0015 | 1644.0 | 550740 | 1.7591 | {'f1': 0.8865573770491804} | {'accuracy': 0.8341323106423778} |
| 0.0017 | 1645.0 | 551075 | 1.7327 | {'f1': 0.8831341301460823} | {'accuracy': 0.8312559923298178} |
| 0.0017 | 1646.0 | 551410 | 1.7562 | {'f1': 0.8816920026437541} | {'accuracy': 0.8283796740172579} |
| 0.0016 | 1647.0 | 551745 | 1.8002 | {'f1': 0.8867059593975114} | {'accuracy': 0.8341323106423778} |
| 0.0025 | 1648.0 | 552080 | 1.7971 | {'f1': 0.8867059593975114} | {'accuracy': 0.8341323106423778} |
| 0.0025 | 1649.0 | 552415 | 1.7689 | {'f1': 0.886408404464872} | {'accuracy': 0.8341323106423778} |
| 0.0021 | 1650.0 | 552750 | 1.7870 | {'f1': 0.8861256544502618} | {'accuracy': 0.8331735378715245} |
| 0.0027 | 1651.0 | 553085 | 1.7626 | {'f1': 0.886259040105194} | {'accuracy': 0.8341323106423778} |
| 0.0027 | 1652.0 | 553420 | 1.8169 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0027 | 1653.0 | 553755 | 1.7918 | {'f1': 0.8875816993464052} | {'accuracy': 0.835091083413231} |
| 0.0017 | 1654.0 | 554090 | 1.8755 | {'f1': 0.8852883992222943} | {'accuracy': 0.8302972195589645} |
| 0.0017 | 1655.0 | 554425 | 1.8191 | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.0016 | 1656.0 | 554760 | 1.8020 | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0017 | 1657.0 | 555095 | 1.7870 | {'f1': 0.8846407382992749} | {'accuracy': 0.8322147651006712} |
| 0.0017 | 1658.0 | 555430 | 1.7991 | {'f1': 0.8820445609436436} | {'accuracy': 0.8274209012464045} |
| 0.0031 | 1659.0 | 555765 | 1.8111 | {'f1': 0.8827766863130322} | {'accuracy': 0.8283796740172579} |
| 0.002 | 1660.0 | 556100 | 1.8213 | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.002 | 1661.0 | 556435 | 1.8229 | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.0015 | 1662.0 | 556770 | 1.8275 | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.0017 | 1663.0 | 557105 | 1.8519 | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0017 | 1664.0 | 557440 | 1.8280 | {'f1': 0.8836601307189542} | {'accuracy': 0.8293384467881112} |
| 0.0015 | 1665.0 | 557775 | 1.8727 | {'f1': 0.8864373783257624} | {'accuracy': 0.8322147651006712} |
| 0.0015 | 1666.0 | 558110 | 1.7752 | {'f1': 0.8859591298615689} | {'accuracy': 0.8341323106423778} |
| 0.0015 | 1667.0 | 558445 | 1.7451 | {'f1': 0.8862275449101797} | {'accuracy': 0.8360498561840843} |
| 0.0023 | 1668.0 | 558780 | 1.7438 | {'f1': 0.885486018641811} | {'accuracy': 0.835091083413231} |
| 0.0013 | 1669.0 | 559115 | 1.7877 | {'f1': 0.8842105263157894} | {'accuracy': 0.8312559923298178} |
| 0.0013 | 1670.0 | 559450 | 1.8268 | {'f1': 0.8865710560625816} | {'accuracy': 0.8331735378715245} |
| 0.0042 | 1671.0 | 559785 | 1.7939 | {'f1': 0.8845144356955381} | {'accuracy': 0.8312559923298178} |
| 0.0014 | 1672.0 | 560120 | 1.7617 | {'f1': 0.8871287128712871} | {'accuracy': 0.8360498561840843} |
| 0.0014 | 1673.0 | 560455 | 1.7695 | {'f1': 0.8859591298615689} | {'accuracy': 0.8341323106423778} |
| 0.0018 | 1674.0 | 560790 | 1.7976 | {'f1': 0.8842380640941793} | {'accuracy': 0.8302972195589645} |
| 0.0032 | 1675.0 | 561125 | 1.7758 | {'f1': 0.886259040105194} | {'accuracy': 0.8341323106423778} |
| 0.0032 | 1676.0 | 561460 | 1.7853 | {'f1': 0.8865573770491804} | {'accuracy': 0.8341323106423778} |
| 0.0016 | 1677.0 | 561795 | 1.8183 | {'f1': 0.8865710560625816} | {'accuracy': 0.8331735378715245} |
| 0.0021 | 1678.0 | 562130 | 1.8137 | {'f1': 0.8864229765013055} | {'accuracy': 0.8331735378715245} |
| 0.0021 | 1679.0 | 562465 | 1.7866 | {'f1': 0.8869908015768725} | {'accuracy': 0.835091083413231} |
| 0.0014 | 1680.0 | 562800 | 1.8024 | {'f1': 0.8861256544502618} | {'accuracy': 0.8331735378715245} |
| 0.002 | 1681.0 | 563135 | 1.8350 | {'f1': 0.8841145833333333} | {'accuracy': 0.8293384467881112} |
| 0.002 | 1682.0 | 563470 | 1.8830 | {'f1': 0.8847150259067358} | {'accuracy': 0.8293384467881112} |
| 0.0021 | 1683.0 | 563805 | 1.8897 | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0022 | 1684.0 | 564140 | 1.8933 | {'f1': 0.8829993535875889} | {'accuracy': 0.8264621284755513} |
| 0.0022 | 1685.0 | 564475 | 1.8870 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.0016 | 1686.0 | 564810 | 1.8205 | {'f1': 0.8862745098039215} | {'accuracy': 0.8331735378715245} |
| 0.0022 | 1687.0 | 565145 | 1.8695 | {'f1': 0.8851395197923426} | {'accuracy': 0.8302972195589645} |
| 0.0022 | 1688.0 | 565480 | 1.7729 | {'f1': 0.8883048620236531} | {'accuracy': 0.8370086289549377} |
| 0.0025 | 1689.0 | 565815 | 1.8150 | {'f1': 0.8856956237753103} | {'accuracy': 0.8322147651006712} |
| 0.0018 | 1690.0 | 566150 | 1.8247 | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0018 | 1691.0 | 566485 | 1.7694 | {'f1': 0.8877216021011162} | {'accuracy': 0.8360498561840843} |
| 0.0017 | 1692.0 | 566820 | 1.8261 | {'f1': 0.8838120104438641} | {'accuracy': 0.8293384467881112} |
| 0.0017 | 1693.0 | 567155 | 1.9000 | {'f1': 0.8809831824062095} | {'accuracy': 0.8235858101629914} |
| 0.0017 | 1694.0 | 567490 | 1.8237 | {'f1': 0.8839634941329856} | {'accuracy': 0.8293384467881112} |
| 0.0017 | 1695.0 | 567825 | 1.8309 | {'f1': 0.8839634941329856} | {'accuracy': 0.8293384467881112} |
| 0.0022 | 1696.0 | 568160 | 1.8800 | {'f1': 0.8805194805194805} | {'accuracy': 0.8235858101629914} |
| 0.0022 | 1697.0 | 568495 | 1.7568 | {'f1': 0.8846407382992749} | {'accuracy': 0.8322147651006712} |
| 0.0035 | 1698.0 | 568830 | 1.7732 | {'f1': 0.8858267716535433} | {'accuracy': 0.8331735378715245} |
| 0.0033 | 1699.0 | 569165 | 1.7657 | {'f1': 0.8849441157133465} | {'accuracy': 0.8322147651006712} |
| 0.0019 | 1700.0 | 569500 | 1.7705 | {'f1': 0.8858267716535433} | {'accuracy': 0.8331735378715245} |
| 0.0019 | 1701.0 | 569835 | 1.8138 | {'f1': 0.8832354859752121} | {'accuracy': 0.8283796740172579} |
| 0.0031 | 1702.0 | 570170 | 1.7630 | {'f1': 0.8859764089121887} | {'accuracy': 0.8331735378715245} |
| 0.003 | 1703.0 | 570505 | 1.7722 | {'f1': 0.8855461085676913} | {'accuracy': 0.8322147651006712} |
| 0.003 | 1704.0 | 570840 | 1.8248 | {'f1': 0.8826597131681878} | {'accuracy': 0.8274209012464045} |
| 0.0016 | 1705.0 | 571175 | 1.7793 | {'f1': 0.8859764089121887} | {'accuracy': 0.8331735378715245} |
| 0.0018 | 1706.0 | 571510 | 1.7850 | {'f1': 0.8833551769331585} | {'accuracy': 0.8293384467881112} |
| 0.0018 | 1707.0 | 571845 | 1.7811 | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0028 | 1708.0 | 572180 | 1.7269 | {'f1': 0.883013879709187} | {'accuracy': 0.8302972195589645} |
| 0.0014 | 1709.0 | 572515 | 1.7732 | {'f1': 0.8837820091923834} | {'accuracy': 0.8302972195589645} |
| 0.0014 | 1710.0 | 572850 | 1.8038 | {'f1': 0.884967320261438} | {'accuracy': 0.8312559923298178} |
| 0.0017 | 1711.0 | 573185 | 1.8681 | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698} |
| 0.0032 | 1712.0 | 573520 | 1.8203 | {'f1': 0.8828125} | {'accuracy': 0.8274209012464045} |
| 0.0032 | 1713.0 | 573855 | 1.8133 | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0017 | 1714.0 | 574190 | 1.8147 | {'f1': 0.8839634941329856} | {'accuracy': 0.8293384467881112} |
| 0.0015 | 1715.0 | 574525 | 1.8559 | {'f1': 0.881399870382372} | {'accuracy': 0.8245445829338447} |
| 0.0015 | 1716.0 | 574860 | 1.8450 | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0027 | 1717.0 | 575195 | 1.8129 | {'f1': 0.8807817589576548} | {'accuracy': 0.8245445829338447} |
| 0.0018 | 1718.0 | 575530 | 1.8224 | {'f1': 0.881664499349805} | {'accuracy': 0.825503355704698} |
| 0.0018 | 1719.0 | 575865 | 1.8830 | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.002 | 1720.0 | 576200 | 1.8332 | {'f1': 0.8822381262199089} | {'accuracy': 0.8264621284755513} |
| 0.002 | 1721.0 | 576535 | 1.8102 | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.002 | 1722.0 | 576870 | 1.8260 | {'f1': 0.8835393623942747} | {'accuracy': 0.8283796740172579} |
| 0.0016 | 1723.0 | 577205 | 1.8454 | {'f1': 0.8812459441920829} | {'accuracy': 0.8245445829338447} |
| 0.0022 | 1724.0 | 577540 | 1.8249 | {'f1': 0.881664499349805} | {'accuracy': 0.825503355704698} |
| 0.0022 | 1725.0 | 577875 | 1.8317 | {'f1': 0.881664499349805} | {'accuracy': 0.825503355704698} |
| 0.0016 | 1726.0 | 578210 | 1.8376 | {'f1': 0.8818181818181818} | {'accuracy': 0.825503355704698} |
| 0.0017 | 1727.0 | 578545 | 1.8215 | {'f1': 0.8815104166666666} | {'accuracy': 0.825503355704698} |
| 0.0017 | 1728.0 | 578880 | 1.8402 | {'f1': 0.8825438027255029} | {'accuracy': 0.8264621284755513} |
| 0.0021 | 1729.0 | 579215 | 1.7980 | {'f1': 0.8821989528795812} | {'accuracy': 0.8274209012464045} |
| 0.0044 | 1730.0 | 579550 | 1.7829 | {'f1': 0.8830829523187459} | {'accuracy': 0.8283796740172579} |
| 0.0044 | 1731.0 | 579885 | 1.7817 | {'f1': 0.8817766165904638} | {'accuracy': 0.8264621284755513} |
| 0.0025 | 1732.0 | 580220 | 1.7871 | {'f1': 0.881201044386423} | {'accuracy': 0.825503355704698} |
| 0.0017 | 1733.0 | 580555 | 1.7537 | {'f1': 0.8837820091923834} | {'accuracy': 0.8302972195589645} |
| 0.0017 | 1734.0 | 580890 | 1.7662 | {'f1': 0.8820445609436436} | {'accuracy': 0.8274209012464045} |
| 0.0024 | 1735.0 | 581225 | 1.8081 | {'f1': 0.8813559322033898} | {'accuracy': 0.825503355704698} |
| 0.0017 | 1736.0 | 581560 | 1.8028 | {'f1': 0.8806262230919765} | {'accuracy': 0.8245445829338447} |
| 0.0017 | 1737.0 | 581895 | 1.7924 | {'f1': 0.8817766165904638} | {'accuracy': 0.8264621284755513} |
| 0.0017 | 1738.0 | 582230 | 1.7590 | {'f1': 0.8852459016393444} | {'accuracy': 0.8322147651006712} |
| 0.0017 | 1739.0 | 582565 | 1.7630 | {'f1': 0.8846657929226737} | {'accuracy': 0.8312559923298178} |
| 0.0017 | 1740.0 | 582900 | 1.8173 | {'f1': 0.8835393623942747} | {'accuracy': 0.8283796740172579} |
| 0.0026 | 1741.0 | 583235 | 1.7922 | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.0014 | 1742.0 | 583570 | 1.8177 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0014 | 1743.0 | 583905 | 1.8458 | {'f1': 0.8832684824902725} | {'accuracy': 0.8274209012464045} |
| 0.0015 | 1744.0 | 584240 | 1.8467 | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.0022 | 1745.0 | 584575 | 1.8395 | {'f1': 0.8815533980582524} | {'accuracy': 0.8245445829338447} |
| 0.0022 | 1746.0 | 584910 | 1.8065 | {'f1': 0.8851174934725848} | {'accuracy': 0.8312559923298178} |
| 0.002 | 1747.0 | 585245 | 1.8286 | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0014 | 1748.0 | 585580 | 1.7903 | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.0014 | 1749.0 | 585915 | 1.7733 | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.0018 | 1750.0 | 586250 | 1.7725 | {'f1': 0.8840864440078585} | {'accuracy': 0.8302972195589645} |
| 0.0017 | 1751.0 | 586585 | 1.7919 | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0017 | 1752.0 | 586920 | 1.7989 | {'f1': 0.8839634941329856} | {'accuracy': 0.8293384467881112} |
| 0.0031 | 1753.0 | 587255 | 1.7640 | {'f1': 0.8836601307189542} | {'accuracy': 0.8293384467881112} |
| 0.0024 | 1754.0 | 587590 | 1.7970 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0024 | 1755.0 | 587925 | 1.8008 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0017 | 1756.0 | 588260 | 1.8080 | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.0016 | 1757.0 | 588595 | 1.8133 | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.0016 | 1758.0 | 588930 | 1.8340 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.0017 | 1759.0 | 589265 | 1.7881 | {'f1': 0.8855656697009102} | {'accuracy': 0.8312559923298178} |
| 0.003 | 1760.0 | 589600 | 1.7626 | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.003 | 1761.0 | 589935 | 1.7643 | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.0015 | 1762.0 | 590270 | 1.7398 | {'f1': 0.8856767411300921} | {'accuracy': 0.8331735378715245} |
| 0.0014 | 1763.0 | 590605 | 1.8086 | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0014 | 1764.0 | 590940 | 1.8100 | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0017 | 1765.0 | 591275 | 1.8105 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0017 | 1766.0 | 591610 | 1.7731 | {'f1': 0.885396201702685} | {'accuracy': 0.8322147651006712} |
| 0.0017 | 1767.0 | 591945 | 1.7660 | {'f1': 0.8859764089121887} | {'accuracy': 0.8331735378715245} |
| 0.0014 | 1768.0 | 592280 | 1.7488 | {'f1': 0.8858267716535433} | {'accuracy': 0.8331735378715245} |
| 0.0018 | 1769.0 | 592615 | 1.7477 | {'f1': 0.8869908015768725} | {'accuracy': 0.835091083413231} |
| 0.0018 | 1770.0 | 592950 | 1.7569 | {'f1': 0.8852459016393444} | {'accuracy': 0.8322147651006712} |
| 0.0028 | 1771.0 | 593285 | 1.7438 | {'f1': 0.8865573770491804} | {'accuracy': 0.8341323106423778} |
| 0.0019 | 1772.0 | 593620 | 1.7991 | {'f1': 0.8833876221498371} | {'accuracy': 0.8283796740172579} |
| 0.0019 | 1773.0 | 593955 | 1.7388 | {'f1': 0.8877216021011162} | {'accuracy': 0.8360498561840843} |
| 0.0024 | 1774.0 | 594290 | 1.7490 | {'f1': 0.8877216021011162} | {'accuracy': 0.8360498561840843} |
| 0.0018 | 1775.0 | 594625 | 1.7518 | {'f1': 0.8871391076115486} | {'accuracy': 0.835091083413231} |
| 0.0018 | 1776.0 | 594960 | 1.7421 | {'f1': 0.8877216021011162} | {'accuracy': 0.8360498561840843} |
| 0.0015 | 1777.0 | 595295 | 1.7446 | {'f1': 0.8877216021011162} | {'accuracy': 0.8360498561840843} |
| 0.0015 | 1778.0 | 595630 | 1.7495 | {'f1': 0.8869908015768725} | {'accuracy': 0.835091083413231} |
| 0.0015 | 1779.0 | 595965 | 1.7687 | {'f1': 0.8861256544502618} | {'accuracy': 0.8331735378715245} |
| 0.0029 | 1780.0 | 596300 | 1.7930 | {'f1': 0.8864229765013055} | {'accuracy': 0.8331735378715245} |
| 0.0016 | 1781.0 | 596635 | 1.7599 | {'f1': 0.8856767411300921} | {'accuracy': 0.8331735378715245} |
| 0.0016 | 1782.0 | 596970 | 1.7274 | {'f1': 0.8861092824226466} | {'accuracy': 0.8341323106423778} |
| 0.0029 | 1783.0 | 597305 | 1.7916 | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.0021 | 1784.0 | 597640 | 1.7813 | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.0021 | 1785.0 | 597975 | 1.7624 | {'f1': 0.8850952068286276} | {'accuracy': 0.8322147651006712} |
| 0.0014 | 1786.0 | 598310 | 1.7630 | {'f1': 0.8858267716535433} | {'accuracy': 0.8331735378715245} |
| 0.0017 | 1787.0 | 598645 | 1.7639 | {'f1': 0.8852459016393444} | {'accuracy': 0.8322147651006712} |
| 0.0017 | 1788.0 | 598980 | 1.8292 | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0026 | 1789.0 | 599315 | 1.8300 | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0014 | 1790.0 | 599650 | 1.7960 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0014 | 1791.0 | 599985 | 1.7991 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0032 | 1792.0 | 600320 | 1.7748 | {'f1': 0.885396201702685} | {'accuracy': 0.8322147651006712} |
| 0.0018 | 1793.0 | 600655 | 1.7767 | {'f1': 0.8861256544502618} | {'accuracy': 0.8331735378715245} |
| 0.0018 | 1794.0 | 600990 | 1.7648 | {'f1': 0.8839344262295081} | {'accuracy': 0.8302972195589645} |
| 0.0014 | 1795.0 | 601325 | 1.7661 | {'f1': 0.8846657929226737} | {'accuracy': 0.8312559923298178} |
| 0.0016 | 1796.0 | 601660 | 1.8404 | {'f1': 0.8839922229423202} | {'accuracy': 0.8283796740172579} |
| 0.0016 | 1797.0 | 601995 | 1.8215 | {'f1': 0.8845654993514916} | {'accuracy': 0.8293384467881112} |
| 0.0025 | 1798.0 | 602330 | 1.8020 | {'f1': 0.8839634941329856} | {'accuracy': 0.8293384467881112} |
| 0.0015 | 1799.0 | 602665 | 1.8410 | {'f1': 0.8845654993514916} | {'accuracy': 0.8293384467881112} |
| 0.0024 | 1800.0 | 603000 | 1.8550 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.0024 | 1801.0 | 603335 | 1.8152 | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0019 | 1802.0 | 603670 | 1.8599 | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0031 | 1803.0 | 604005 | 1.8600 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0031 | 1804.0 | 604340 | 1.8608 | {'f1': 0.8835705045278138} | {'accuracy': 0.8274209012464045} |
| 0.0015 | 1805.0 | 604675 | 1.8073 | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0026 | 1806.0 | 605010 | 1.8080 | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0026 | 1807.0 | 605345 | 1.7721 | {'f1': 0.8836601307189542} | {'accuracy': 0.8293384467881112} |
| 0.0023 | 1808.0 | 605680 | 1.7746 | {'f1': 0.8829300196206671} | {'accuracy': 0.8283796740172579} |
| 0.0015 | 1809.0 | 606015 | 1.7814 | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0015 | 1810.0 | 606350 | 1.8085 | {'f1': 0.8855656697009102} | {'accuracy': 0.8312559923298178} |
| 0.0025 | 1811.0 | 606685 | 1.7868 | {'f1': 0.8859934853420196} | {'accuracy': 0.8322147651006712} |
| 0.0027 | 1812.0 | 607020 | 1.8199 | {'f1': 0.8855656697009102} | {'accuracy': 0.8312559923298178} |
| 0.0027 | 1813.0 | 607355 | 1.7622 | {'f1': 0.8835078534031414} | {'accuracy': 0.8293384467881112} |
| 0.0027 | 1814.0 | 607690 | 1.7351 | {'f1': 0.8856767411300921} | {'accuracy': 0.8331735378715245} |
| 0.003 | 1815.0 | 608025 | 1.7589 | {'f1': 0.8848167539267016} | {'accuracy': 0.8312559923298178} |
| 0.003 | 1816.0 | 608360 | 1.7603 | {'f1': 0.8842380640941793} | {'accuracy': 0.8302972195589645} |
| 0.0017 | 1817.0 | 608695 | 1.7043 | {'f1': 0.8847682119205298} | {'accuracy': 0.8331735378715245} |
| 0.0017 | 1818.0 | 609030 | 1.7115 | {'f1': 0.8850726552179656} | {'accuracy': 0.8331735378715245} |
| 0.0017 | 1819.0 | 609365 | 1.7299 | {'f1': 0.8828947368421053} | {'accuracy': 0.8293384467881112} |
| 0.0034 | 1820.0 | 609700 | 1.7508 | {'f1': 0.8855461085676913} | {'accuracy': 0.8322147651006712} |
| 0.0014 | 1821.0 | 610035 | 1.7615 | {'f1': 0.884967320261438} | {'accuracy': 0.8312559923298178} |
| 0.0014 | 1822.0 | 610370 | 1.7710 | {'f1': 0.8865710560625816} | {'accuracy': 0.8331735378715245} |
| 0.0023 | 1823.0 | 610705 | 1.7671 | {'f1': 0.8871493803000652} | {'accuracy': 0.8341323106423778} |
| 0.002 | 1824.0 | 611040 | 1.8029 | {'f1': 0.8855656697009102} | {'accuracy': 0.8312559923298178} |
| 0.002 | 1825.0 | 611375 | 1.8044 | {'f1': 0.8855656697009102} | {'accuracy': 0.8312559923298178} |
| 0.0016 | 1826.0 | 611710 | 1.7916 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0026 | 1827.0 | 612045 | 1.8254 | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0026 | 1828.0 | 612380 | 1.8280 | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0019 | 1829.0 | 612715 | 1.8563 | {'f1': 0.8805681084570691} | {'accuracy': 0.822627037392138} |
| 0.0018 | 1830.0 | 613050 | 1.8191 | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.0018 | 1831.0 | 613385 | 1.8434 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.002 | 1832.0 | 613720 | 1.8193 | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0022 | 1833.0 | 614055 | 1.8059 | {'f1': 0.8861418347430059} | {'accuracy': 0.8322147651006712} |
| 0.0022 | 1834.0 | 614390 | 1.8419 | {'f1': 0.883419689119171} | {'accuracy': 0.8274209012464045} |
| 0.0014 | 1835.0 | 614725 | 1.8164 | {'f1': 0.8855656697009102} | {'accuracy': 0.8312559923298178} |
| 0.0016 | 1836.0 | 615060 | 1.8140 | {'f1': 0.8855656697009102} | {'accuracy': 0.8312559923298178} |
| 0.0016 | 1837.0 | 615395 | 1.8308 | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0015 | 1838.0 | 615730 | 1.8373 | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0018 | 1839.0 | 616065 | 1.8327 | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0018 | 1840.0 | 616400 | 1.8333 | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0014 | 1841.0 | 616735 | 1.8224 | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0021 | 1842.0 | 617070 | 1.8239 | {'f1': 0.8849902534113061} | {'accuracy': 0.8302972195589645} |
| 0.0021 | 1843.0 | 617405 | 1.8142 | {'f1': 0.8861418347430059} | {'accuracy': 0.8322147651006712} |
| 0.002 | 1844.0 | 617740 | 1.7930 | {'f1': 0.8864229765013055} | {'accuracy': 0.8331735378715245} |
| 0.0015 | 1845.0 | 618075 | 1.8028 | {'f1': 0.8865710560625816} | {'accuracy': 0.8331735378715245} |
| 0.0015 | 1846.0 | 618410 | 1.8019 | {'f1': 0.8865710560625816} | {'accuracy': 0.8331735378715245} |
| 0.0016 | 1847.0 | 618745 | 1.7941 | {'f1': 0.8864229765013055} | {'accuracy': 0.8331735378715245} |
| 0.0015 | 1848.0 | 619080 | 1.7914 | {'f1': 0.8862745098039215} | {'accuracy': 0.8331735378715245} |
| 0.0015 | 1849.0 | 619415 | 1.7932 | {'f1': 0.8870019595035924} | {'accuracy': 0.8341323106423778} |
| 0.0017 | 1850.0 | 619750 | 1.8027 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.002 | 1851.0 | 620085 | 1.8047 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.002 | 1852.0 | 620420 | 1.7780 | {'f1': 0.8867059593975114} | {'accuracy': 0.8341323106423778} |
| 0.0019 | 1853.0 | 620755 | 1.8007 | {'f1': 0.8858447488584474} | {'accuracy': 0.8322147651006712} |
| 0.0019 | 1854.0 | 621090 | 1.8166 | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0019 | 1855.0 | 621425 | 1.8067 | {'f1': 0.8858447488584474} | {'accuracy': 0.8322147651006712} |
| 0.0019 | 1856.0 | 621760 | 1.8099 | {'f1': 0.8858447488584474} | {'accuracy': 0.8322147651006712} |
| 0.0014 | 1857.0 | 622095 | 1.8132 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0014 | 1858.0 | 622430 | 1.8160 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0016 | 1859.0 | 622765 | 1.8130 | {'f1': 0.8865710560625816} | {'accuracy': 0.8331735378715245} |
| 0.0023 | 1860.0 | 623100 | 1.8032 | {'f1': 0.8864229765013055} | {'accuracy': 0.8331735378715245} |
| 0.0023 | 1861.0 | 623435 | 1.8292 | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0015 | 1862.0 | 623770 | 1.7820 | {'f1': 0.8862745098039215} | {'accuracy': 0.8331735378715245} |
| 0.0022 | 1863.0 | 624105 | 1.7866 | {'f1': 0.8862745098039215} | {'accuracy': 0.8331735378715245} |
| 0.0022 | 1864.0 | 624440 | 1.7810 | {'f1': 0.8861256544502618} | {'accuracy': 0.8331735378715245} |
| 0.0017 | 1865.0 | 624775 | 1.7817 | {'f1': 0.885396201702685} | {'accuracy': 0.8322147651006712} |
| 0.0014 | 1866.0 | 625110 | 1.7845 | {'f1': 0.8861256544502618} | {'accuracy': 0.8331735378715245} |
| 0.0014 | 1867.0 | 625445 | 1.8123 | {'f1': 0.8865710560625816} | {'accuracy': 0.8331735378715245} |
| 0.0017 | 1868.0 | 625780 | 1.8365 | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0017 | 1869.0 | 626115 | 1.8423 | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0017 | 1870.0 | 626450 | 1.8632 | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698} |
| 0.0025 | 1871.0 | 626785 | 1.8688 | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698} |
| 0.0025 | 1872.0 | 627120 | 1.8626 | {'f1': 0.881399870382372} | {'accuracy': 0.8245445829338447} |
| 0.0025 | 1873.0 | 627455 | 1.8754 | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698} |
| 0.0026 | 1874.0 | 627790 | 1.8935 | {'f1': 0.8824289405684754} | {'accuracy': 0.825503355704698} |
| 0.002 | 1875.0 | 628125 | 1.8796 | {'f1': 0.8822768434670116} | {'accuracy': 0.825503355704698} |
| 0.002 | 1876.0 | 628460 | 1.8755 | {'f1': 0.8828478964401294} | {'accuracy': 0.8264621284755513} |
| 0.0016 | 1877.0 | 628795 | 1.8645 | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698} |
| 0.0029 | 1878.0 | 629130 | 1.8299 | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0029 | 1879.0 | 629465 | 1.8327 | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0026 | 1880.0 | 629800 | 1.8038 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0023 | 1881.0 | 630135 | 1.8041 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0023 | 1882.0 | 630470 | 1.7793 | {'f1': 0.8855461085676913} | {'accuracy': 0.8322147651006712} |
| 0.0016 | 1883.0 | 630805 | 1.7775 | {'f1': 0.8855461085676913} | {'accuracy': 0.8322147651006712} |
| 0.0017 | 1884.0 | 631140 | 1.8057 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0017 | 1885.0 | 631475 | 1.8132 | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0019 | 1886.0 | 631810 | 1.8241 | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0017 | 1887.0 | 632145 | 1.8248 | {'f1': 0.8836907082521118} | {'accuracy': 0.8283796740172579} |
| 0.0017 | 1888.0 | 632480 | 1.8337 | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0015 | 1889.0 | 632815 | 1.8370 | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0019 | 1890.0 | 633150 | 1.8850 | {'f1': 0.8822768434670116} | {'accuracy': 0.825503355704698} |
| 0.0019 | 1891.0 | 633485 | 1.8443 | {'f1': 0.8831168831168831} | {'accuracy': 0.8274209012464045} |
| 0.0025 | 1892.0 | 633820 | 1.8445 | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0016 | 1893.0 | 634155 | 1.8437 | {'f1': 0.8838416612589227} | {'accuracy': 0.8283796740172579} |
| 0.0016 | 1894.0 | 634490 | 1.8308 | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0016 | 1895.0 | 634825 | 1.8263 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0015 | 1896.0 | 635160 | 1.8285 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0015 | 1897.0 | 635495 | 1.8612 | {'f1': 0.8821243523316061} | {'accuracy': 0.825503355704698} |
| 0.0017 | 1898.0 | 635830 | 1.8584 | {'f1': 0.8826960466623461} | {'accuracy': 0.8264621284755513} |
| 0.0013 | 1899.0 | 636165 | 1.8256 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0021 | 1900.0 | 636500 | 1.8326 | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0021 | 1901.0 | 636835 | 1.8623 | {'f1': 0.8832684824902725} | {'accuracy': 0.8274209012464045} |
| 0.0017 | 1902.0 | 637170 | 1.8491 | {'f1': 0.8844155844155843} | {'accuracy': 0.8293384467881112} |
| 0.0017 | 1903.0 | 637505 | 1.8310 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0017 | 1904.0 | 637840 | 1.8307 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0015 | 1905.0 | 638175 | 1.8300 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0015 | 1906.0 | 638510 | 1.8359 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0015 | 1907.0 | 638845 | 1.8397 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0017 | 1908.0 | 639180 | 1.8132 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0019 | 1909.0 | 639515 | 1.8285 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0019 | 1910.0 | 639850 | 1.8164 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0015 | 1911.0 | 640185 | 1.8159 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0039 | 1912.0 | 640520 | 1.8154 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0039 | 1913.0 | 640855 | 1.8143 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0016 | 1914.0 | 641190 | 1.8164 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0016 | 1915.0 | 641525 | 1.8002 | {'f1': 0.8843892880470282} | {'accuracy': 0.8302972195589645} |
| 0.0016 | 1916.0 | 641860 | 1.8145 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0015 | 1917.0 | 642195 | 1.8322 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0018 | 1918.0 | 642530 | 1.8430 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0018 | 1919.0 | 642865 | 1.8387 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0014 | 1920.0 | 643200 | 1.8234 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0017 | 1921.0 | 643535 | 1.8391 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0017 | 1922.0 | 643870 | 1.8365 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0017 | 1923.0 | 644205 | 1.8385 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0015 | 1924.0 | 644540 | 1.8517 | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0015 | 1925.0 | 644875 | 1.8575 | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0016 | 1926.0 | 645210 | 1.8550 | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0015 | 1927.0 | 645545 | 1.8557 | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0015 | 1928.0 | 645880 | 1.8343 | {'f1': 0.8841145833333333} | {'accuracy': 0.8293384467881112} |
| 0.002 | 1929.0 | 646215 | 1.8389 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0012 | 1930.0 | 646550 | 1.8421 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0012 | 1931.0 | 646885 | 1.8391 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0015 | 1932.0 | 647220 | 1.8443 | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0014 | 1933.0 | 647555 | 1.8202 | {'f1': 0.8852672750977836} | {'accuracy': 0.8312559923298178} |
| 0.0014 | 1934.0 | 647890 | 1.8208 | {'f1': 0.8852672750977836} | {'accuracy': 0.8312559923298178} |
| 0.0024 | 1935.0 | 648225 | 1.8255 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0015 | 1936.0 | 648560 | 1.8251 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0015 | 1937.0 | 648895 | 1.8270 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0013 | 1938.0 | 649230 | 1.8323 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0025 | 1939.0 | 649565 | 1.8441 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0025 | 1940.0 | 649900 | 1.8561 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.003 | 1941.0 | 650235 | 1.8563 | {'f1': 0.8842652795838754} | {'accuracy': 0.8293384467881112} |
| 0.0019 | 1942.0 | 650570 | 1.8461 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0019 | 1943.0 | 650905 | 1.8470 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0016 | 1944.0 | 651240 | 1.8465 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0021 | 1945.0 | 651575 | 1.8407 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0021 | 1946.0 | 651910 | 1.8420 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0013 | 1947.0 | 652245 | 1.8416 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0017 | 1948.0 | 652580 | 1.8311 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0017 | 1949.0 | 652915 | 1.8314 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0017 | 1950.0 | 653250 | 1.8318 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0016 | 1951.0 | 653585 | 1.8348 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0016 | 1952.0 | 653920 | 1.8345 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0016 | 1953.0 | 654255 | 1.8347 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0029 | 1954.0 | 654590 | 1.8116 | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0029 | 1955.0 | 654925 | 1.8122 | {'f1': 0.8845401174168297} | {'accuracy': 0.8302972195589645} |
| 0.0015 | 1956.0 | 655260 | 1.8217 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0018 | 1957.0 | 655595 | 1.8250 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0018 | 1958.0 | 655930 | 1.8265 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0014 | 1959.0 | 656265 | 1.8312 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0018 | 1960.0 | 656600 | 1.8360 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0018 | 1961.0 | 656935 | 1.8422 | {'f1': 0.8848405985686402} | {'accuracy': 0.8302972195589645} |
| 0.0014 | 1962.0 | 657270 | 1.8350 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0017 | 1963.0 | 657605 | 1.8340 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0017 | 1964.0 | 657940 | 1.8275 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0027 | 1965.0 | 658275 | 1.8315 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0016 | 1966.0 | 658610 | 1.8295 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0016 | 1967.0 | 658945 | 1.8294 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0024 | 1968.0 | 659280 | 1.8229 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0016 | 1969.0 | 659615 | 1.8217 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0016 | 1970.0 | 659950 | 1.8280 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0033 | 1971.0 | 660285 | 1.8352 | {'f1': 0.8854166666666666} | {'accuracy': 0.8312559923298178} |
| 0.0013 | 1972.0 | 660620 | 1.8291 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0013 | 1973.0 | 660955 | 1.8315 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0017 | 1974.0 | 661290 | 1.8264 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0011 | 1975.0 | 661625 | 1.8195 | {'f1': 0.8852672750977836} | {'accuracy': 0.8312559923298178} |
| 0.0011 | 1976.0 | 661960 | 1.8225 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0024 | 1977.0 | 662295 | 1.8227 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0016 | 1978.0 | 662630 | 1.8229 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0016 | 1979.0 | 662965 | 1.8219 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0015 | 1980.0 | 663300 | 1.8217 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0017 | 1981.0 | 663635 | 1.8209 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0017 | 1982.0 | 663970 | 1.8246 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0013 | 1983.0 | 664305 | 1.8217 | {'f1': 0.8852672750977836} | {'accuracy': 0.8312559923298178} |
| 0.0018 | 1984.0 | 664640 | 1.8200 | {'f1': 0.8852672750977836} | {'accuracy': 0.8312559923298178} |
| 0.0018 | 1985.0 | 664975 | 1.8221 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0024 | 1986.0 | 665310 | 1.8218 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0023 | 1987.0 | 665645 | 1.8206 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0023 | 1988.0 | 665980 | 1.8230 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0016 | 1989.0 | 666315 | 1.8191 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0029 | 1990.0 | 666650 | 1.8195 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0029 | 1991.0 | 666985 | 1.8215 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0018 | 1992.0 | 667320 | 1.8224 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0017 | 1993.0 | 667655 | 1.8227 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0017 | 1994.0 | 667990 | 1.8229 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0015 | 1995.0 | 668325 | 1.8205 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0021 | 1996.0 | 668660 | 1.8215 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0021 | 1997.0 | 668995 | 1.8216 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.002 | 1998.0 | 669330 | 1.8210 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0028 | 1999.0 | 669665 | 1.8213 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
| 0.0015 | 2000.0 | 670000 | 1.8214 | {'f1': 0.8846905537459283} | {'accuracy': 0.8302972195589645} |
### Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3