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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_107
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_107
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6267
- F1: {'f1': 0.8174603174603174}
- Accuracy: {'accuracy': 0.6912751677852349}
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2000
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
|:-------------:|:------:|:-----:|:---------------:|:---------------------------:|:---------------------------------:|
| No log | 1.0 | 7 | 0.6347 | {'f1': 0.7934978928356411} | {'accuracy': 0.6711409395973155} |
| No log | 2.0 | 14 | 0.6336 | {'f1': 0.8188529244747302} | {'accuracy': 0.6941514860977949} |
| No log | 3.0 | 21 | 0.6697 | {'f1': 0.8079161816065191} | {'accuracy': 0.6836049856184084} |
| No log | 4.0 | 28 | 0.8194 | {'f1': 0.8004807692307693} | {'accuracy': 0.6816874400767018} |
| No log | 5.0 | 35 | 0.9298 | {'f1': 0.7683322517845554} | {'accuracy': 0.6577181208053692} |
| No log | 6.0 | 42 | 1.1747 | {'f1': 0.806282722513089} | {'accuracy': 0.6807286673058485} |
| No log | 7.0 | 49 | 1.4818 | {'f1': 0.7477906186267844} | {'accuracy': 0.6442953020134228} |
| No log | 8.0 | 56 | 1.3621 | {'f1': 0.8078994614003591} | {'accuracy': 0.6922339405560882} |
| No log | 9.0 | 63 | 1.3699 | {'f1': 0.8139810426540284} | {'accuracy': 0.6989453499520614} |
| No log | 10.0 | 70 | 1.5245 | {'f1': 0.7581881533101044} | {'accuracy': 0.6673058485139022} |
| No log | 11.0 | 77 | 1.8747 | {'f1': 0.8120924718435093} | {'accuracy': 0.6960690316395014} |
| No log | 12.0 | 84 | 2.1986 | {'f1': 0.7953431372549019} | {'accuracy': 0.6797698945349953} |
| No log | 13.0 | 91 | 2.1630 | {'f1': 0.7586206896551725} | {'accuracy': 0.6510067114093959} |
| No log | 14.0 | 98 | 2.2134 | {'f1': 0.809214412285883} | {'accuracy': 0.6903163950143816} |
| No log | 15.0 | 105 | 2.1405 | {'f1': 0.7940813810110975} | {'accuracy': 0.6797698945349953} |
| No log | 16.0 | 112 | 2.1033 | {'f1': 0.7701375245579567} | {'accuracy': 0.663470757430489} |
| No log | 17.0 | 119 | 2.0794 | {'f1': 0.7461858529819695} | {'accuracy': 0.6490891658676894} |
| No log | 18.0 | 126 | 2.0845 | {'f1': 0.7980356046654389} | {'accuracy': 0.6845637583892618} |
| No log | 19.0 | 133 | 2.0804 | {'f1': 0.8069336521219366} | {'accuracy': 0.6903163950143816} |
| No log | 20.0 | 140 | 1.8434 | {'f1': 0.7755905511811024} | {'accuracy': 0.6720997123681688} |
| No log | 21.0 | 147 | 2.2370 | {'f1': 0.8142940831868777} | {'accuracy': 0.6960690316395014} |
| No log | 22.0 | 154 | 2.1536 | {'f1': 0.7385714285714285} | {'accuracy': 0.6490891658676894} |
| No log | 23.0 | 161 | 2.3420 | {'f1': 0.8100820633059789} | {'accuracy': 0.6893576222435283} |
| No log | 24.0 | 168 | 2.2000 | {'f1': 0.7918468190240889} | {'accuracy': 0.6768935762224353} |
| No log | 25.0 | 175 | 2.3650 | {'f1': 0.6687451286048324} | {'accuracy': 0.5925215723873442} |
| No log | 26.0 | 182 | 2.0525 | {'f1': 0.8165137614678899} | {'accuracy': 0.6931927133269415} |
| No log | 27.0 | 189 | 1.5495 | {'f1': 0.7929736511919698} | {'accuracy': 0.6836049856184084} |
| No log | 28.0 | 196 | 1.5791 | {'f1': 0.780550223928343} | {'accuracy': 0.6711409395973155} |
| No log | 29.0 | 203 | 1.8794 | {'f1': 0.8028759736369083} | {'accuracy': 0.6845637583892618} |
| No log | 30.0 | 210 | 2.0042 | {'f1': 0.7756703727926749} | {'accuracy': 0.6711409395973155} |
| No log | 31.0 | 217 | 2.2522 | {'f1': 0.7382920110192837} | {'accuracy': 0.6356663470757431} |
| No log | 32.0 | 224 | 2.4130 | {'f1': 0.7389502762430941} | {'accuracy': 0.6375838926174496} |
| No log | 33.0 | 231 | 2.5367 | {'f1': 0.7664041994750657} | {'accuracy': 0.6586768935762224} |
| No log | 34.0 | 238 | 2.6368 | {'f1': 0.773109243697479} | {'accuracy': 0.663470757430489} |
| No log | 35.0 | 245 | 2.7019 | {'f1': 0.7756410256410257} | {'accuracy': 0.6644295302013423} |
| No log | 36.0 | 252 | 2.7419 | {'f1': 0.7755102040816326} | {'accuracy': 0.6625119846596357} |
| No log | 37.0 | 259 | 2.7663 | {'f1': 0.7755102040816326} | {'accuracy': 0.6625119846596357} |
| No log | 38.0 | 266 | 2.7834 | {'f1': 0.7755102040816326} | {'accuracy': 0.6625119846596357} |
| No log | 39.0 | 273 | 2.7963 | {'f1': 0.7755102040816326} | {'accuracy': 0.6625119846596357} |
| No log | 40.0 | 280 | 2.8087 | {'f1': 0.7755102040816326} | {'accuracy': 0.6625119846596357} |
| No log | 41.0 | 287 | 2.8192 | {'f1': 0.774728781110402} | {'accuracy': 0.6615532118887824} |
| No log | 42.0 | 294 | 2.8276 | {'f1': 0.7757188498402556} | {'accuracy': 0.663470757430489} |
| No log | 43.0 | 301 | 2.8378 | {'f1': 0.7746478873239436} | {'accuracy': 0.6625119846596357} |
| No log | 44.0 | 308 | 2.8475 | {'f1': 0.7751441383728379} | {'accuracy': 0.663470757430489} |
| No log | 45.0 | 315 | 2.8569 | {'f1': 0.7756410256410257} | {'accuracy': 0.6644295302013423} |
| No log | 46.0 | 322 | 2.8669 | {'f1': 0.7761385503527902} | {'accuracy': 0.6653883029721956} |
| No log | 47.0 | 329 | 2.8768 | {'f1': 0.7761385503527902} | {'accuracy': 0.6653883029721956} |
| No log | 48.0 | 336 | 2.8861 | {'f1': 0.7766367137355583} | {'accuracy': 0.6663470757430489} |
| No log | 49.0 | 343 | 2.8945 | {'f1': 0.7758509955041747} | {'accuracy': 0.6653883029721956} |
| No log | 50.0 | 350 | 2.9042 | {'f1': 0.7757731958762887} | {'accuracy': 0.6663470757430489} |
| No log | 51.0 | 357 | 2.9134 | {'f1': 0.7755627009646302} | {'accuracy': 0.6653883029721956} |
| No log | 52.0 | 364 | 2.9225 | {'f1': 0.7771355170199101} | {'accuracy': 0.6673058485139022} |
| No log | 53.0 | 371 | 2.9313 | {'f1': 0.7766367137355583} | {'accuracy': 0.6663470757430489} |
| No log | 54.0 | 378 | 2.9395 | {'f1': 0.7763496143958868} | {'accuracy': 0.6663470757430489} |
| No log | 55.0 | 385 | 2.9454 | {'f1': 0.7755627009646302} | {'accuracy': 0.6653883029721956} |
| No log | 56.0 | 392 | 2.9496 | {'f1': 0.7744845360824743} | {'accuracy': 0.6644295302013423} |
| No log | 57.0 | 399 | 2.9552 | {'f1': 0.7734021949644931} | {'accuracy': 0.663470757430489} |
| No log | 58.0 | 406 | 2.9611 | {'f1': 0.7734021949644931} | {'accuracy': 0.663470757430489} |
| No log | 59.0 | 413 | 2.9681 | {'f1': 0.7736943907156673} | {'accuracy': 0.663470757430489} |
| No log | 60.0 | 420 | 2.9750 | {'f1': 0.7736943907156673} | {'accuracy': 0.663470757430489} |
| No log | 61.0 | 427 | 2.9816 | {'f1': 0.7736943907156673} | {'accuracy': 0.663470757430489} |
| No log | 62.0 | 434 | 2.9875 | {'f1': 0.7736943907156673} | {'accuracy': 0.663470757430489} |
| No log | 63.0 | 441 | 2.9934 | {'f1': 0.7736943907156673} | {'accuracy': 0.663470757430489} |
| No log | 64.0 | 448 | 3.0007 | {'f1': 0.7744845360824743} | {'accuracy': 0.6644295302013423} |
| No log | 65.0 | 455 | 3.0093 | {'f1': 0.772609819121447} | {'accuracy': 0.6625119846596357} |
| No log | 66.0 | 462 | 3.0342 | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022} |
| No log | 67.0 | 469 | 3.0762 | {'f1': 0.77228992944195} | {'accuracy': 0.6596356663470757} |
| No log | 68.0 | 476 | 3.0453 | {'f1': 0.7932692307692308} | {'accuracy': 0.6701821668264621} |
| No log | 69.0 | 483 | 2.6271 | {'f1': 0.7821656050955414} | {'accuracy': 0.6720997123681688} |
| No log | 70.0 | 490 | 2.4546 | {'f1': 0.7858942065491183} | {'accuracy': 0.6740172579098753} |
| No log | 71.0 | 497 | 2.2726 | {'f1': 0.7861635220125784} | {'accuracy': 0.6740172579098753} |
| 0.06 | 72.0 | 504 | 2.5214 | {'f1': 0.8045563549160673} | {'accuracy': 0.6874400767018217} |
| 0.06 | 73.0 | 511 | 2.0838 | {'f1': 0.7878787878787878} | {'accuracy': 0.6845637583892618} |
| 0.06 | 74.0 | 518 | 2.2489 | {'f1': 0.8166465621230398} | {'accuracy': 0.7085330776605945} |
| 0.06 | 75.0 | 525 | 1.9064 | {'f1': 0.8097686375321336} | {'accuracy': 0.716203259827421} |
| 0.06 | 76.0 | 532 | 2.3394 | {'f1': 0.8191747572815534} | {'accuracy': 0.7142857142857143} |
| 0.06 | 77.0 | 539 | 2.6605 | {'f1': 0.8190476190476191} | {'accuracy': 0.7085330776605945} |
| 0.06 | 78.0 | 546 | 2.8121 | {'f1': 0.8196333530455352} | {'accuracy': 0.7075743048897412} |
| 0.06 | 79.0 | 553 | 2.7504 | {'f1': 0.817474566128067} | {'accuracy': 0.7075743048897412} |
| 0.06 | 80.0 | 560 | 2.6757 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.06 | 81.0 | 567 | 2.6491 | {'f1': 0.8080931943592886} | {'accuracy': 0.6999041227229147} |
| 0.06 | 82.0 | 574 | 2.6431 | {'f1': 0.8044554455445544} | {'accuracy': 0.6970278044103547} |
| 0.06 | 83.0 | 581 | 2.6463 | {'f1': 0.8039825762289983} | {'accuracy': 0.697986577181208} |
| 0.06 | 84.0 | 588 | 2.6524 | {'f1': 0.8024922118380062} | {'accuracy': 0.6960690316395014} |
| 0.06 | 85.0 | 595 | 2.6633 | {'f1': 0.8039825762289983} | {'accuracy': 0.697986577181208} |
| 0.06 | 86.0 | 602 | 2.6732 | {'f1': 0.8029832193909261} | {'accuracy': 0.6960690316395014} |
| 0.06 | 87.0 | 609 | 2.6827 | {'f1': 0.8039702233250621} | {'accuracy': 0.6970278044103547} |
| 0.06 | 88.0 | 616 | 2.6952 | {'f1': 0.8032178217821782} | {'accuracy': 0.6951102588686481} |
| 0.06 | 89.0 | 623 | 2.7044 | {'f1': 0.8029647930821494} | {'accuracy': 0.6941514860977949} |
| 0.06 | 90.0 | 630 | 2.6813 | {'f1': 0.8024922118380062} | {'accuracy': 0.6960690316395014} |
| 0.06 | 91.0 | 637 | 2.6825 | {'f1': 0.8039825762289983} | {'accuracy': 0.697986577181208} |
| 0.06 | 92.0 | 644 | 2.6862 | {'f1': 0.8054692355500311} | {'accuracy': 0.6999041227229147} |
| 0.06 | 93.0 | 651 | 2.6907 | {'f1': 0.8057107386716326} | {'accuracy': 0.6999041227229147} |
| 0.06 | 94.0 | 658 | 2.6961 | {'f1': 0.8057107386716326} | {'accuracy': 0.6999041227229147} |
| 0.06 | 95.0 | 665 | 2.7058 | {'f1': 0.8074303405572756} | {'accuracy': 0.7018216682646213} |
| 0.06 | 96.0 | 672 | 2.7126 | {'f1': 0.8091414453366277} | {'accuracy': 0.7037392138063279} |
| 0.06 | 97.0 | 679 | 2.7181 | {'f1': 0.8098765432098766} | {'accuracy': 0.7046979865771812} |
| 0.06 | 98.0 | 686 | 2.7236 | {'f1': 0.8098765432098766} | {'accuracy': 0.7046979865771812} |
| 0.06 | 99.0 | 693 | 2.7287 | {'f1': 0.810610734114744} | {'accuracy': 0.7056567593480345} |
| 0.06 | 100.0 | 700 | 2.7363 | {'f1': 0.81134401972873} | {'accuracy': 0.7066155321188878} |
| 0.06 | 101.0 | 707 | 2.7417 | {'f1': 0.81134401972873} | {'accuracy': 0.7066155321188878} |
| 0.06 | 102.0 | 714 | 2.7474 | {'f1': 0.81134401972873} | {'accuracy': 0.7066155321188878} |
| 0.06 | 103.0 | 721 | 2.7536 | {'f1': 0.8103448275862069} | {'accuracy': 0.7046979865771812} |
| 0.06 | 104.0 | 728 | 2.7596 | {'f1': 0.811076923076923} | {'accuracy': 0.7056567593480345} |
| 0.06 | 105.0 | 735 | 2.7663 | {'f1': 0.8105781057810578} | {'accuracy': 0.7046979865771812} |
| 0.06 | 106.0 | 742 | 2.7725 | {'f1': 0.810079901659496} | {'accuracy': 0.7037392138063279} |
| 0.06 | 107.0 | 749 | 2.7777 | {'f1': 0.810079901659496} | {'accuracy': 0.7037392138063279} |
| 0.06 | 108.0 | 756 | 2.7820 | {'f1': 0.810079901659496} | {'accuracy': 0.7037392138063279} |
| 0.06 | 109.0 | 763 | 2.7861 | {'f1': 0.810079901659496} | {'accuracy': 0.7037392138063279} |
| 0.06 | 110.0 | 770 | 2.7901 | {'f1': 0.810079901659496} | {'accuracy': 0.7037392138063279} |
| 0.06 | 111.0 | 777 | 2.7939 | {'f1': 0.8095823095823097} | {'accuracy': 0.7027804410354745} |
| 0.06 | 112.0 | 784 | 2.7992 | {'f1': 0.809085328422345} | {'accuracy': 0.7018216682646213} |
| 0.06 | 113.0 | 791 | 2.8038 | {'f1': 0.809085328422345} | {'accuracy': 0.7018216682646213} |
| 0.06 | 114.0 | 798 | 2.8079 | {'f1': 0.809085328422345} | {'accuracy': 0.7018216682646213} |
| 0.06 | 115.0 | 805 | 2.8131 | {'f1': 0.809085328422345} | {'accuracy': 0.7018216682646213} |
| 0.06 | 116.0 | 812 | 2.8182 | {'f1': 0.809085328422345} | {'accuracy': 0.7018216682646213} |
| 0.06 | 117.0 | 819 | 2.8226 | {'f1': 0.809085328422345} | {'accuracy': 0.7018216682646213} |
| 0.06 | 118.0 | 826 | 2.8268 | {'f1': 0.8085889570552146} | {'accuracy': 0.700862895493768} |
| 0.06 | 119.0 | 833 | 2.8306 | {'f1': 0.809319435928878} | {'accuracy': 0.7018216682646213} |
| 0.06 | 120.0 | 840 | 2.8343 | {'f1': 0.809319435928878} | {'accuracy': 0.7018216682646213} |
| 0.06 | 121.0 | 847 | 2.8388 | {'f1': 0.809319435928878} | {'accuracy': 0.7018216682646213} |
| 0.06 | 122.0 | 854 | 2.8426 | {'f1': 0.809319435928878} | {'accuracy': 0.7018216682646213} |
| 0.06 | 123.0 | 861 | 2.8462 | {'f1': 0.809319435928878} | {'accuracy': 0.7018216682646213} |
| 0.06 | 124.0 | 868 | 2.8499 | {'f1': 0.8088235294117647} | {'accuracy': 0.700862895493768} |
| 0.06 | 125.0 | 875 | 2.8540 | {'f1': 0.8088235294117647} | {'accuracy': 0.700862895493768} |
| 0.06 | 126.0 | 882 | 2.8584 | {'f1': 0.8088235294117647} | {'accuracy': 0.700862895493768} |
| 0.06 | 127.0 | 889 | 2.8620 | {'f1': 0.8088235294117647} | {'accuracy': 0.700862895493768} |
| 0.06 | 128.0 | 896 | 2.8651 | {'f1': 0.8088235294117647} | {'accuracy': 0.700862895493768} |
| 0.06 | 129.0 | 903 | 2.8679 | {'f1': 0.8088235294117647} | {'accuracy': 0.700862895493768} |
| 0.06 | 130.0 | 910 | 2.8724 | {'f1': 0.8095529699938763} | {'accuracy': 0.7018216682646213} |
| 0.06 | 131.0 | 917 | 2.8759 | {'f1': 0.8095529699938763} | {'accuracy': 0.7018216682646213} |
| 0.06 | 132.0 | 924 | 2.8789 | {'f1': 0.8095529699938763} | {'accuracy': 0.7018216682646213} |
| 0.06 | 133.0 | 931 | 2.8821 | {'f1': 0.8095529699938763} | {'accuracy': 0.7018216682646213} |
| 0.06 | 134.0 | 938 | 2.8859 | {'f1': 0.8095529699938763} | {'accuracy': 0.7018216682646213} |
| 0.06 | 135.0 | 945 | 2.8891 | {'f1': 0.8095529699938763} | {'accuracy': 0.7018216682646213} |
| 0.06 | 136.0 | 952 | 2.8969 | {'f1': 0.8097859327217125} | {'accuracy': 0.7018216682646213} |
| 0.06 | 137.0 | 959 | 2.9240 | {'f1': 0.8124238733252133} | {'accuracy': 0.7046979865771812} |
| 0.06 | 138.0 | 966 | 2.9388 | {'f1': 0.8138686131386861} | {'accuracy': 0.7066155321188878} |
| 0.06 | 139.0 | 973 | 2.9474 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.06 | 140.0 | 980 | 2.9528 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.06 | 141.0 | 987 | 2.9566 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.06 | 142.0 | 994 | 2.9597 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 143.0 | 1001 | 2.9625 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 144.0 | 1008 | 2.9656 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 145.0 | 1015 | 2.9686 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 146.0 | 1022 | 2.9713 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 147.0 | 1029 | 2.9733 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 148.0 | 1036 | 2.9754 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 149.0 | 1043 | 2.9772 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 150.0 | 1050 | 2.9794 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 151.0 | 1057 | 2.9826 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 152.0 | 1064 | 2.9858 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 153.0 | 1071 | 2.9880 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 154.0 | 1078 | 2.9899 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 155.0 | 1085 | 2.9920 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 156.0 | 1092 | 2.9939 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 157.0 | 1099 | 2.9961 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 158.0 | 1106 | 2.9984 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 159.0 | 1113 | 3.0005 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 160.0 | 1120 | 3.0026 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 161.0 | 1127 | 3.0046 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 162.0 | 1134 | 3.0072 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 163.0 | 1141 | 3.0093 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 164.0 | 1148 | 3.0110 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 165.0 | 1155 | 3.0130 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 166.0 | 1162 | 3.0150 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 167.0 | 1169 | 3.0171 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 168.0 | 1176 | 3.0193 | {'f1': 0.8138686131386861} | {'accuracy': 0.7066155321188878} |
| 0.0002 | 169.0 | 1183 | 3.0223 | {'f1': 0.8138686131386861} | {'accuracy': 0.7066155321188878} |
| 0.0002 | 170.0 | 1190 | 3.0248 | {'f1': 0.8138686131386861} | {'accuracy': 0.7066155321188878} |
| 0.0002 | 171.0 | 1197 | 3.0270 | {'f1': 0.8138686131386861} | {'accuracy': 0.7066155321188878} |
| 0.0002 | 172.0 | 1204 | 3.0287 | {'f1': 0.8138686131386861} | {'accuracy': 0.7066155321188878} |
| 0.0002 | 173.0 | 1211 | 3.0308 | {'f1': 0.8138686131386861} | {'accuracy': 0.7066155321188878} |
| 0.0002 | 174.0 | 1218 | 3.0337 | {'f1': 0.8138686131386861} | {'accuracy': 0.7066155321188878} |
| 0.0002 | 175.0 | 1225 | 3.0365 | {'f1': 0.8138686131386861} | {'accuracy': 0.7066155321188878} |
| 0.0002 | 176.0 | 1232 | 3.0402 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 177.0 | 1239 | 3.0431 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 178.0 | 1246 | 3.0455 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 179.0 | 1253 | 3.0478 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 180.0 | 1260 | 3.0501 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 181.0 | 1267 | 3.0524 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 182.0 | 1274 | 3.0543 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 183.0 | 1281 | 3.0561 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 184.0 | 1288 | 3.0581 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 185.0 | 1295 | 3.0599 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 186.0 | 1302 | 3.0620 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 187.0 | 1309 | 3.0641 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 188.0 | 1316 | 3.0660 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 189.0 | 1323 | 3.0677 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 190.0 | 1330 | 3.0694 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 191.0 | 1337 | 3.0711 | {'f1': 0.8133738601823709} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 192.0 | 1344 | 3.0758 | {'f1': 0.8140947752126367} | {'accuracy': 0.7066155321188878} |
| 0.0002 | 193.0 | 1351 | 3.0802 | {'f1': 0.8140947752126367} | {'accuracy': 0.7066155321188878} |
| 0.0002 | 194.0 | 1358 | 3.0921 | {'f1': 0.8140947752126367} | {'accuracy': 0.7066155321188878} |
| 0.0002 | 195.0 | 1365 | 3.0988 | {'f1': 0.8140947752126367} | {'accuracy': 0.7066155321188878} |
| 0.0002 | 196.0 | 1372 | 3.1029 | {'f1': 0.8140947752126367} | {'accuracy': 0.7066155321188878} |
| 0.0002 | 197.0 | 1379 | 3.1057 | {'f1': 0.8140947752126367} | {'accuracy': 0.7066155321188878} |
| 0.0002 | 198.0 | 1386 | 3.1179 | {'f1': 0.8140947752126367} | {'accuracy': 0.7066155321188878} |
| 0.0002 | 199.0 | 1393 | 3.1298 | {'f1': 0.8136004857316332} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 200.0 | 1400 | 3.1361 | {'f1': 0.8138265615524559} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 201.0 | 1407 | 3.1397 | {'f1': 0.8145454545454547} | {'accuracy': 0.7066155321188878} |
| 0.0002 | 202.0 | 1414 | 3.1421 | {'f1': 0.8145454545454547} | {'accuracy': 0.7066155321188878} |
| 0.0002 | 203.0 | 1421 | 3.1440 | {'f1': 0.8145454545454547} | {'accuracy': 0.7066155321188878} |
| 0.0002 | 204.0 | 1428 | 3.1454 | {'f1': 0.8145454545454547} | {'accuracy': 0.7066155321188878} |
| 0.0002 | 205.0 | 1435 | 3.1469 | {'f1': 0.8138265615524559} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 206.0 | 1442 | 3.1481 | {'f1': 0.8138265615524559} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 207.0 | 1449 | 3.1495 | {'f1': 0.8138265615524559} | {'accuracy': 0.7056567593480345} |
| 0.0002 | 208.0 | 1456 | 3.1508 | {'f1': 0.8143203883495146} | {'accuracy': 0.7066155321188878} |
| 0.0002 | 209.0 | 1463 | 3.1522 | {'f1': 0.8143203883495146} | {'accuracy': 0.7066155321188878} |
| 0.0002 | 210.0 | 1470 | 3.1535 | {'f1': 0.8143203883495146} | {'accuracy': 0.7066155321188878} |
| 0.0002 | 211.0 | 1477 | 3.1484 | {'f1': 0.8143203883495146} | {'accuracy': 0.7066155321188878} |
| 0.0002 | 212.0 | 1484 | 3.1218 | {'f1': 0.811965811965812} | {'accuracy': 0.7046979865771812} |
| 0.0002 | 213.0 | 1491 | 3.1115 | {'f1': 0.8102815177478581} | {'accuracy': 0.7027804410354745} |
| 0.0002 | 214.0 | 1498 | 3.1082 | {'f1': 0.8100490196078431} | {'accuracy': 0.7027804410354745} |
| 0.0 | 215.0 | 1505 | 3.1088 | {'f1': 0.8100490196078431} | {'accuracy': 0.7027804410354745} |
| 0.0 | 216.0 | 1512 | 3.1098 | {'f1': 0.8100490196078431} | {'accuracy': 0.7027804410354745} |
| 0.0 | 217.0 | 1519 | 3.1112 | {'f1': 0.8100490196078431} | {'accuracy': 0.7027804410354745} |
| 0.0 | 218.0 | 1526 | 3.1127 | {'f1': 0.8100490196078431} | {'accuracy': 0.7027804410354745} |
| 0.0 | 219.0 | 1533 | 3.1157 | {'f1': 0.8100490196078431} | {'accuracy': 0.7027804410354745} |
| 0.0 | 220.0 | 1540 | 3.1183 | {'f1': 0.8100490196078431} | {'accuracy': 0.7027804410354745} |
| 0.0 | 221.0 | 1547 | 3.1205 | {'f1': 0.8100490196078431} | {'accuracy': 0.7027804410354745} |
| 0.0 | 222.0 | 1554 | 3.1225 | {'f1': 0.8100490196078431} | {'accuracy': 0.7027804410354745} |
| 0.0 | 223.0 | 1561 | 3.1242 | {'f1': 0.8100490196078431} | {'accuracy': 0.7027804410354745} |
| 0.0 | 224.0 | 1568 | 3.1265 | {'f1': 0.8100490196078431} | {'accuracy': 0.7027804410354745} |
| 0.0 | 225.0 | 1575 | 3.1292 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 226.0 | 1582 | 3.1319 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 227.0 | 1589 | 3.1339 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 228.0 | 1596 | 3.1360 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 229.0 | 1603 | 3.1378 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 230.0 | 1610 | 3.1394 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 231.0 | 1617 | 3.1412 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 232.0 | 1624 | 3.1432 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 233.0 | 1631 | 3.1450 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 234.0 | 1638 | 3.1466 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 235.0 | 1645 | 3.1481 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 236.0 | 1652 | 3.1495 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 237.0 | 1659 | 3.1509 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 238.0 | 1666 | 3.1522 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 239.0 | 1673 | 3.1534 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 240.0 | 1680 | 3.1547 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 241.0 | 1687 | 3.1563 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 242.0 | 1694 | 3.1578 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 243.0 | 1701 | 3.1593 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 244.0 | 1708 | 3.1611 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 245.0 | 1715 | 3.1633 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 246.0 | 1722 | 3.1655 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 247.0 | 1729 | 3.1673 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 248.0 | 1736 | 3.1689 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 249.0 | 1743 | 3.1704 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 250.0 | 1750 | 3.1720 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 251.0 | 1757 | 3.1736 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 252.0 | 1764 | 3.1750 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 253.0 | 1771 | 3.1767 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 254.0 | 1778 | 3.1781 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 255.0 | 1785 | 3.1796 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 256.0 | 1792 | 3.1812 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 257.0 | 1799 | 3.1828 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 258.0 | 1806 | 3.1844 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 259.0 | 1813 | 3.1865 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 260.0 | 1820 | 3.1887 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 261.0 | 1827 | 3.1907 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 262.0 | 1834 | 3.1924 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 263.0 | 1841 | 3.1962 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 264.0 | 1848 | 3.1992 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 265.0 | 1855 | 3.2013 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 266.0 | 1862 | 3.2030 | {'f1': 0.810777709736681} | {'accuracy': 0.7037392138063279} |
| 0.0 | 267.0 | 1869 | 3.2045 | {'f1': 0.8102815177478581} | {'accuracy': 0.7027804410354745} |
| 0.0 | 268.0 | 1876 | 3.2059 | {'f1': 0.8102815177478581} | {'accuracy': 0.7027804410354745} |
| 0.0 | 269.0 | 1883 | 3.2074 | {'f1': 0.8102815177478581} | {'accuracy': 0.7027804410354745} |
| 0.0 | 270.0 | 1890 | 3.2090 | {'f1': 0.8102815177478581} | {'accuracy': 0.7027804410354745} |
| 0.0 | 271.0 | 1897 | 3.2130 | {'f1': 0.8102815177478581} | {'accuracy': 0.7027804410354745} |
| 0.0 | 272.0 | 1904 | 3.2162 | {'f1': 0.8102815177478581} | {'accuracy': 0.7027804410354745} |
| 0.0 | 273.0 | 1911 | 3.2182 | {'f1': 0.8102815177478581} | {'accuracy': 0.7027804410354745} |
| 0.0 | 274.0 | 1918 | 3.2199 | {'f1': 0.8102815177478581} | {'accuracy': 0.7027804410354745} |
| 0.0 | 275.0 | 1925 | 3.2215 | {'f1': 0.8102815177478581} | {'accuracy': 0.7027804410354745} |
| 0.0 | 276.0 | 1932 | 3.2230 | {'f1': 0.8102815177478581} | {'accuracy': 0.7027804410354745} |
| 0.0 | 277.0 | 1939 | 3.2244 | {'f1': 0.8102815177478581} | {'accuracy': 0.7027804410354745} |
| 0.0 | 278.0 | 1946 | 3.2259 | {'f1': 0.8102815177478581} | {'accuracy': 0.7027804410354745} |
| 0.0 | 279.0 | 1953 | 3.2273 | {'f1': 0.8102815177478581} | {'accuracy': 0.7027804410354745} |
| 0.0 | 280.0 | 1960 | 3.2287 | {'f1': 0.8102815177478581} | {'accuracy': 0.7027804410354745} |
| 0.0 | 281.0 | 1967 | 3.2300 | {'f1': 0.8102815177478581} | {'accuracy': 0.7027804410354745} |
| 0.0 | 282.0 | 1974 | 3.2313 | {'f1': 0.8102815177478581} | {'accuracy': 0.7027804410354745} |
| 0.0 | 283.0 | 1981 | 3.2325 | {'f1': 0.8102815177478581} | {'accuracy': 0.7027804410354745} |
| 0.0 | 284.0 | 1988 | 3.2336 | {'f1': 0.8102815177478581} | {'accuracy': 0.7027804410354745} |
| 0.0 | 285.0 | 1995 | 3.2349 | {'f1': 0.8102815177478581} | {'accuracy': 0.7027804410354745} |
| 0.0 | 286.0 | 2002 | 3.2360 | {'f1': 0.8102815177478581} | {'accuracy': 0.7027804410354745} |
| 0.0 | 287.0 | 2009 | 3.2375 | {'f1': 0.8102815177478581} | {'accuracy': 0.7027804410354745} |
| 0.0 | 288.0 | 2016 | 3.2389 | {'f1': 0.8102815177478581} | {'accuracy': 0.7027804410354745} |
| 0.0 | 289.0 | 2023 | 3.2402 | {'f1': 0.8102815177478581} | {'accuracy': 0.7027804410354745} |
| 0.0 | 290.0 | 2030 | 3.2416 | {'f1': 0.8097859327217125} | {'accuracy': 0.7018216682646213} |
| 0.0 | 291.0 | 2037 | 3.2430 | {'f1': 0.8097859327217125} | {'accuracy': 0.7018216682646213} |
| 0.0 | 292.0 | 2044 | 3.2450 | {'f1': 0.8097859327217125} | {'accuracy': 0.7018216682646213} |
| 0.0 | 293.0 | 2051 | 3.2471 | {'f1': 0.8097859327217125} | {'accuracy': 0.7018216682646213} |
| 0.0 | 294.0 | 2058 | 3.2489 | {'f1': 0.8097859327217125} | {'accuracy': 0.7018216682646213} |
| 0.0 | 295.0 | 2065 | 3.2503 | {'f1': 0.8097859327217125} | {'accuracy': 0.7018216682646213} |
| 0.0 | 296.0 | 2072 | 3.2518 | {'f1': 0.8097859327217125} | {'accuracy': 0.7018216682646213} |
| 0.0 | 297.0 | 2079 | 3.2532 | {'f1': 0.8097859327217125} | {'accuracy': 0.7018216682646213} |
| 0.0 | 298.0 | 2086 | 3.2555 | {'f1': 0.8105134474327629} | {'accuracy': 0.7027804410354745} |
| 0.0 | 299.0 | 2093 | 3.2576 | {'f1': 0.8105134474327629} | {'accuracy': 0.7027804410354745} |
| 0.0 | 300.0 | 2100 | 3.2591 | {'f1': 0.8105134474327629} | {'accuracy': 0.7027804410354745} |
| 0.0 | 301.0 | 2107 | 3.2605 | {'f1': 0.8105134474327629} | {'accuracy': 0.7027804410354745} |
| 0.0 | 302.0 | 2114 | 3.2618 | {'f1': 0.8105134474327629} | {'accuracy': 0.7027804410354745} |
| 0.0 | 303.0 | 2121 | 3.2630 | {'f1': 0.8105134474327629} | {'accuracy': 0.7027804410354745} |
| 0.0 | 304.0 | 2128 | 3.2643 | {'f1': 0.8105134474327629} | {'accuracy': 0.7027804410354745} |
| 0.0 | 305.0 | 2135 | 3.2656 | {'f1': 0.8105134474327629} | {'accuracy': 0.7027804410354745} |
| 0.0 | 306.0 | 2142 | 3.2667 | {'f1': 0.8105134474327629} | {'accuracy': 0.7027804410354745} |
| 0.0 | 307.0 | 2149 | 3.2679 | {'f1': 0.8105134474327629} | {'accuracy': 0.7027804410354745} |
| 0.0 | 308.0 | 2156 | 3.2691 | {'f1': 0.8105134474327629} | {'accuracy': 0.7027804410354745} |
| 0.0 | 309.0 | 2163 | 3.2704 | {'f1': 0.8105134474327629} | {'accuracy': 0.7027804410354745} |
| 0.0 | 310.0 | 2170 | 3.2717 | {'f1': 0.8105134474327629} | {'accuracy': 0.7027804410354745} |
| 0.0 | 311.0 | 2177 | 3.2729 | {'f1': 0.8105134474327629} | {'accuracy': 0.7027804410354745} |
| 0.0 | 312.0 | 2184 | 3.2743 | {'f1': 0.8105134474327629} | {'accuracy': 0.7027804410354745} |
| 0.0 | 313.0 | 2191 | 3.2756 | {'f1': 0.8105134474327629} | {'accuracy': 0.7027804410354745} |
| 0.0 | 314.0 | 2198 | 3.2768 | {'f1': 0.8105134474327629} | {'accuracy': 0.7027804410354745} |
| 0.0 | 315.0 | 2205 | 3.2781 | {'f1': 0.8105134474327629} | {'accuracy': 0.7027804410354745} |
| 0.0 | 316.0 | 2212 | 3.2794 | {'f1': 0.8105134474327629} | {'accuracy': 0.7027804410354745} |
| 0.0 | 317.0 | 2219 | 3.2808 | {'f1': 0.8105134474327629} | {'accuracy': 0.7027804410354745} |
| 0.0 | 318.0 | 2226 | 3.2821 | {'f1': 0.8105134474327629} | {'accuracy': 0.7027804410354745} |
| 0.0 | 319.0 | 2233 | 3.2835 | {'f1': 0.8100183262064753} | {'accuracy': 0.7018216682646213} |
| 0.0 | 320.0 | 2240 | 3.2850 | {'f1': 0.8100183262064753} | {'accuracy': 0.7018216682646213} |
| 0.0 | 321.0 | 2247 | 3.2864 | {'f1': 0.8100183262064753} | {'accuracy': 0.7018216682646213} |
| 0.0 | 322.0 | 2254 | 3.2960 | {'f1': 0.8121951219512195} | {'accuracy': 0.7046979865771812} |
| 0.0 | 323.0 | 2261 | 3.3042 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 324.0 | 2268 | 3.3088 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 325.0 | 2275 | 3.3116 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 326.0 | 2282 | 3.3137 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 327.0 | 2289 | 3.3160 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 328.0 | 2296 | 3.3178 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 329.0 | 2303 | 3.3192 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 330.0 | 2310 | 3.3213 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 331.0 | 2317 | 3.3229 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 332.0 | 2324 | 3.3244 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 333.0 | 2331 | 3.3258 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 334.0 | 2338 | 3.3272 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 335.0 | 2345 | 3.3287 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 336.0 | 2352 | 3.3303 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 337.0 | 2359 | 3.3316 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 338.0 | 2366 | 3.3328 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 339.0 | 2373 | 3.3339 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 340.0 | 2380 | 3.3350 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 341.0 | 2387 | 3.3363 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 342.0 | 2394 | 3.3379 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 343.0 | 2401 | 3.3392 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 344.0 | 2408 | 3.3404 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 345.0 | 2415 | 3.3416 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 346.0 | 2422 | 3.3427 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 347.0 | 2429 | 3.3439 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 348.0 | 2436 | 3.3450 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 349.0 | 2443 | 3.3461 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 350.0 | 2450 | 3.3474 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 351.0 | 2457 | 3.3485 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 352.0 | 2464 | 3.3496 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 353.0 | 2471 | 3.3525 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 354.0 | 2478 | 3.3548 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 355.0 | 2485 | 3.3565 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 356.0 | 2492 | 3.3579 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 357.0 | 2499 | 3.3591 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 358.0 | 2506 | 3.3604 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 359.0 | 2513 | 3.3615 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 360.0 | 2520 | 3.3625 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 361.0 | 2527 | 3.3635 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 362.0 | 2534 | 3.3645 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 363.0 | 2541 | 3.3655 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 364.0 | 2548 | 3.3666 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 365.0 | 2555 | 3.3676 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 366.0 | 2562 | 3.3685 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 367.0 | 2569 | 3.3695 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 368.0 | 2576 | 3.3703 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 369.0 | 2583 | 3.3710 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 370.0 | 2590 | 3.3718 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 371.0 | 2597 | 3.3727 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 372.0 | 2604 | 3.3725 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 373.0 | 2611 | 3.3724 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 374.0 | 2618 | 3.3728 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 375.0 | 2625 | 3.3734 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 376.0 | 2632 | 3.3742 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0 | 377.0 | 2639 | 2.4965 | {'f1': 0.7733711048158641} | {'accuracy': 0.6931927133269415} |
| 0.0 | 378.0 | 2646 | 1.9201 | {'f1': 0.7248322147651006} | {'accuracy': 0.6462128475551294} |
| 0.0 | 379.0 | 2653 | 0.9025 | {'f1': 0.813102119460501} | {'accuracy': 0.7209971236816874} |
| 0.0 | 380.0 | 2660 | 3.0977 | {'f1': 0.8198403648802737} | {'accuracy': 0.6970278044103547} |
| 0.0 | 381.0 | 2667 | 1.9908 | {'f1': 0.24708624708624705} | {'accuracy': 0.38063279002876316} |
| 0.0 | 382.0 | 2674 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 383.0 | 2681 | 0.6672 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 384.0 | 2688 | 0.6207 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 385.0 | 2695 | 0.6468 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 386.0 | 2702 | 0.6943 | {'f1': 0.0} | {'accuracy': 0.3087248322147651} |
| 0.0 | 387.0 | 2709 | 0.6494 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 388.0 | 2716 | 0.6192 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 389.0 | 2723 | 0.6449 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 390.0 | 2730 | 0.7403 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 391.0 | 2737 | 0.6599 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 392.0 | 2744 | 0.6190 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 393.0 | 2751 | 0.6392 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 394.0 | 2758 | 0.6371 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 395.0 | 2765 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 396.0 | 2772 | 0.6530 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 397.0 | 2779 | 0.6787 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 398.0 | 2786 | 0.6394 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 399.0 | 2793 | 0.6490 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 400.0 | 2800 | 0.6417 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 401.0 | 2807 | 0.6224 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 402.0 | 2814 | 0.6190 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 403.0 | 2821 | 0.6218 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 404.0 | 2828 | 0.6447 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 405.0 | 2835 | 0.6345 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 406.0 | 2842 | 0.6200 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 407.0 | 2849 | 0.7234 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 408.0 | 2856 | 0.6211 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 409.0 | 2863 | 0.6199 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 410.0 | 2870 | 0.6228 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 411.0 | 2877 | 0.6594 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 412.0 | 2884 | 0.6249 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 413.0 | 2891 | 0.6207 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 414.0 | 2898 | 0.6800 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 415.0 | 2905 | 0.6457 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 416.0 | 2912 | 0.6286 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 417.0 | 2919 | 0.6187 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 418.0 | 2926 | 0.6876 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 419.0 | 2933 | 0.6470 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 420.0 | 2940 | 0.6397 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 421.0 | 2947 | 0.6475 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 422.0 | 2954 | 0.6233 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 423.0 | 2961 | 0.6590 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 424.0 | 2968 | 0.6865 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 425.0 | 2975 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 426.0 | 2982 | 0.6529 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 427.0 | 2989 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.0 | 428.0 | 2996 | 0.6413 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 429.0 | 3003 | 0.6702 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 430.0 | 3010 | 0.6202 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 431.0 | 3017 | 0.6276 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 432.0 | 3024 | 0.6772 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 433.0 | 3031 | 0.6197 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 434.0 | 3038 | 0.6468 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 435.0 | 3045 | 0.6620 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 436.0 | 3052 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 437.0 | 3059 | 0.6234 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 438.0 | 3066 | 0.6767 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 439.0 | 3073 | 0.6290 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 440.0 | 3080 | 0.6451 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 441.0 | 3087 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 442.0 | 3094 | 0.6370 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 443.0 | 3101 | 0.6204 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 444.0 | 3108 | 0.6367 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 445.0 | 3115 | 0.6220 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 446.0 | 3122 | 0.7326 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 447.0 | 3129 | 0.6271 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 448.0 | 3136 | 0.6328 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 449.0 | 3143 | 0.6864 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 450.0 | 3150 | 0.6250 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 451.0 | 3157 | 0.6354 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 452.0 | 3164 | 0.6222 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 453.0 | 3171 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 454.0 | 3178 | 0.6408 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 455.0 | 3185 | 0.6384 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 456.0 | 3192 | 0.6221 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 457.0 | 3199 | 0.6791 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 458.0 | 3206 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 459.0 | 3213 | 0.6200 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 460.0 | 3220 | 0.6526 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 461.0 | 3227 | 0.6242 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 462.0 | 3234 | 0.6234 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 463.0 | 3241 | 0.6518 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 464.0 | 3248 | 0.6262 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 465.0 | 3255 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 466.0 | 3262 | 0.6249 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 467.0 | 3269 | 0.6241 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 468.0 | 3276 | 0.6271 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 469.0 | 3283 | 0.6259 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 470.0 | 3290 | 0.6276 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 471.0 | 3297 | 0.6275 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 472.0 | 3304 | 0.6456 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 473.0 | 3311 | 0.6398 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 474.0 | 3318 | 0.6338 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 475.0 | 3325 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 476.0 | 3332 | 0.6703 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 477.0 | 3339 | 0.6629 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 478.0 | 3346 | 0.6187 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 479.0 | 3353 | 0.6520 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 480.0 | 3360 | 0.6348 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 481.0 | 3367 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 482.0 | 3374 | 0.6196 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 483.0 | 3381 | 0.6999 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 484.0 | 3388 | 0.6296 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 485.0 | 3395 | 0.6366 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 486.0 | 3402 | 0.6578 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 487.0 | 3409 | 0.6501 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 488.0 | 3416 | 0.6274 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 489.0 | 3423 | 0.6212 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 490.0 | 3430 | 0.6338 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 491.0 | 3437 | 0.7015 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 492.0 | 3444 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 493.0 | 3451 | 0.6216 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 494.0 | 3458 | 0.6368 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 495.0 | 3465 | 0.6344 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 496.0 | 3472 | 0.6228 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 497.0 | 3479 | 0.6276 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 498.0 | 3486 | 0.6625 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.4394 | 499.0 | 3493 | 0.6344 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 500.0 | 3500 | 0.6200 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 501.0 | 3507 | 0.6370 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 502.0 | 3514 | 0.6312 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 503.0 | 3521 | 0.6330 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 504.0 | 3528 | 0.6189 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 505.0 | 3535 | 0.6500 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 506.0 | 3542 | 0.6222 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 507.0 | 3549 | 0.6187 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 508.0 | 3556 | 0.6413 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 509.0 | 3563 | 0.6348 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 510.0 | 3570 | 0.6214 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 511.0 | 3577 | 0.6186 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 512.0 | 3584 | 0.6685 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 513.0 | 3591 | 0.6484 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 514.0 | 3598 | 0.6315 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 515.0 | 3605 | 0.6512 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 516.0 | 3612 | 0.6240 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 517.0 | 3619 | 0.6309 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 518.0 | 3626 | 0.6195 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 519.0 | 3633 | 0.6208 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 520.0 | 3640 | 0.6703 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 521.0 | 3647 | 0.6244 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 522.0 | 3654 | 0.6213 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 523.0 | 3661 | 0.6317 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 524.0 | 3668 | 0.6227 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 525.0 | 3675 | 0.6279 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 526.0 | 3682 | 0.6333 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 527.0 | 3689 | 0.6256 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 528.0 | 3696 | 0.6201 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 529.0 | 3703 | 0.6293 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 530.0 | 3710 | 0.6235 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 531.0 | 3717 | 0.6554 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 532.0 | 3724 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 533.0 | 3731 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 534.0 | 3738 | 0.6566 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 535.0 | 3745 | 0.6287 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 536.0 | 3752 | 0.6389 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 537.0 | 3759 | 0.6201 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 538.0 | 3766 | 0.6412 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 539.0 | 3773 | 0.6202 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 540.0 | 3780 | 0.6250 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 541.0 | 3787 | 0.6441 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 542.0 | 3794 | 0.6209 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 543.0 | 3801 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 544.0 | 3808 | 0.6455 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 545.0 | 3815 | 0.6275 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 546.0 | 3822 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 547.0 | 3829 | 0.6498 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 548.0 | 3836 | 0.7002 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 549.0 | 3843 | 0.6186 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 550.0 | 3850 | 0.6186 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 551.0 | 3857 | 0.6336 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 552.0 | 3864 | 0.6403 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 553.0 | 3871 | 0.6192 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 554.0 | 3878 | 0.6189 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 555.0 | 3885 | 0.6334 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 556.0 | 3892 | 0.6235 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 557.0 | 3899 | 0.6186 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 558.0 | 3906 | 0.6226 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 559.0 | 3913 | 0.6333 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 560.0 | 3920 | 0.6390 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 561.0 | 3927 | 0.6349 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 562.0 | 3934 | 0.6211 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 563.0 | 3941 | 0.6196 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 564.0 | 3948 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 565.0 | 3955 | 0.6410 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 566.0 | 3962 | 0.6419 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 567.0 | 3969 | 0.6227 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 568.0 | 3976 | 0.6502 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 569.0 | 3983 | 0.6544 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 570.0 | 3990 | 0.6214 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5958 | 571.0 | 3997 | 0.6242 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 572.0 | 4004 | 0.6537 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 573.0 | 4011 | 0.6750 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 574.0 | 4018 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 575.0 | 4025 | 0.6215 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 576.0 | 4032 | 0.6442 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 577.0 | 4039 | 0.6238 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 578.0 | 4046 | 0.6233 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 579.0 | 4053 | 0.6302 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 580.0 | 4060 | 0.6535 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 581.0 | 4067 | 0.6239 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 582.0 | 4074 | 0.6362 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 583.0 | 4081 | 0.6324 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 584.0 | 4088 | 0.6291 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 585.0 | 4095 | 0.6282 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 586.0 | 4102 | 0.6245 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 587.0 | 4109 | 0.6403 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 588.0 | 4116 | 0.6362 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 589.0 | 4123 | 0.6276 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 590.0 | 4130 | 0.6286 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 591.0 | 4137 | 0.6233 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 592.0 | 4144 | 0.6330 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 593.0 | 4151 | 0.6374 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 594.0 | 4158 | 0.6301 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 595.0 | 4165 | 0.6232 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 596.0 | 4172 | 0.6277 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 597.0 | 4179 | 0.6402 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 598.0 | 4186 | 0.6209 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 599.0 | 4193 | 0.6292 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 600.0 | 4200 | 0.6377 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 601.0 | 4207 | 0.6447 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 602.0 | 4214 | 0.6376 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 603.0 | 4221 | 0.6232 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 604.0 | 4228 | 0.6237 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 605.0 | 4235 | 0.6449 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 606.0 | 4242 | 0.6205 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 607.0 | 4249 | 0.6442 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 608.0 | 4256 | 0.6306 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 609.0 | 4263 | 0.6272 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 610.0 | 4270 | 0.6439 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 611.0 | 4277 | 0.6222 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 612.0 | 4284 | 0.6278 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 613.0 | 4291 | 0.6458 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 614.0 | 4298 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 615.0 | 4305 | 0.6313 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 616.0 | 4312 | 0.6346 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 617.0 | 4319 | 0.6375 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 618.0 | 4326 | 0.6203 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 619.0 | 4333 | 0.6307 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 620.0 | 4340 | 0.6465 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 621.0 | 4347 | 0.6238 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 622.0 | 4354 | 0.6202 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 623.0 | 4361 | 0.6339 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 624.0 | 4368 | 0.6422 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 625.0 | 4375 | 0.6534 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 626.0 | 4382 | 0.6280 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 627.0 | 4389 | 0.6270 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 628.0 | 4396 | 0.6491 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 629.0 | 4403 | 0.6315 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 630.0 | 4410 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 631.0 | 4417 | 0.6253 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 632.0 | 4424 | 0.6398 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 633.0 | 4431 | 0.6298 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 634.0 | 4438 | 0.6198 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 635.0 | 4445 | 0.6236 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 636.0 | 4452 | 0.6450 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 637.0 | 4459 | 0.6350 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 638.0 | 4466 | 0.6228 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 639.0 | 4473 | 0.6197 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 640.0 | 4480 | 0.6217 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 641.0 | 4487 | 0.6391 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5886 | 642.0 | 4494 | 0.6276 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 643.0 | 4501 | 0.6225 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 644.0 | 4508 | 0.6185 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 645.0 | 4515 | 0.6335 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 646.0 | 4522 | 0.6372 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 647.0 | 4529 | 0.6278 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 648.0 | 4536 | 0.6328 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 649.0 | 4543 | 0.6242 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 650.0 | 4550 | 0.6230 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 651.0 | 4557 | 0.6225 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 652.0 | 4564 | 0.6363 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 653.0 | 4571 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 654.0 | 4578 | 0.6209 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 655.0 | 4585 | 0.6189 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 656.0 | 4592 | 0.6620 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 657.0 | 4599 | 0.6349 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 658.0 | 4606 | 0.6184 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 659.0 | 4613 | 0.6227 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 660.0 | 4620 | 0.6315 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 661.0 | 4627 | 0.6294 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 662.0 | 4634 | 0.6257 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 663.0 | 4641 | 0.6254 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 664.0 | 4648 | 0.6371 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 665.0 | 4655 | 0.6392 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 666.0 | 4662 | 0.6311 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 667.0 | 4669 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 668.0 | 4676 | 0.6272 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 669.0 | 4683 | 0.6313 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 670.0 | 4690 | 0.6222 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 671.0 | 4697 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 672.0 | 4704 | 0.6411 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 673.0 | 4711 | 0.6305 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 674.0 | 4718 | 0.6253 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 675.0 | 4725 | 0.6231 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 676.0 | 4732 | 0.6415 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 677.0 | 4739 | 0.6301 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 678.0 | 4746 | 0.6220 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 679.0 | 4753 | 0.6244 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 680.0 | 4760 | 0.6260 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 681.0 | 4767 | 0.6480 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 682.0 | 4774 | 0.6303 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 683.0 | 4781 | 0.6239 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 684.0 | 4788 | 0.6297 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 685.0 | 4795 | 0.6330 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 686.0 | 4802 | 0.6347 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 687.0 | 4809 | 0.6279 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 688.0 | 4816 | 0.6331 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 689.0 | 4823 | 0.6266 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 690.0 | 4830 | 0.6223 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 691.0 | 4837 | 0.6434 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 692.0 | 4844 | 0.6352 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 693.0 | 4851 | 0.6302 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 694.0 | 4858 | 0.6266 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 695.0 | 4865 | 0.6345 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 696.0 | 4872 | 0.6292 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 697.0 | 4879 | 0.6295 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 698.0 | 4886 | 0.6306 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 699.0 | 4893 | 0.6266 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 700.0 | 4900 | 0.6197 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 701.0 | 4907 | 0.6196 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 702.0 | 4914 | 0.6385 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 703.0 | 4921 | 0.6459 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 704.0 | 4928 | 0.6296 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 705.0 | 4935 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 706.0 | 4942 | 0.6232 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 707.0 | 4949 | 0.6273 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 708.0 | 4956 | 0.6298 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 709.0 | 4963 | 0.6387 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 710.0 | 4970 | 0.6392 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 711.0 | 4977 | 0.6202 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 712.0 | 4984 | 0.6216 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 713.0 | 4991 | 0.6321 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5855 | 714.0 | 4998 | 0.6335 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 715.0 | 5005 | 0.6402 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 716.0 | 5012 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 717.0 | 5019 | 0.6252 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 718.0 | 5026 | 0.6265 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 719.0 | 5033 | 0.6304 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 720.0 | 5040 | 0.6356 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 721.0 | 5047 | 0.6399 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 722.0 | 5054 | 0.6273 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 723.0 | 5061 | 0.6318 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 724.0 | 5068 | 0.6222 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 725.0 | 5075 | 0.6266 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 726.0 | 5082 | 0.6344 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 727.0 | 5089 | 0.6375 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 728.0 | 5096 | 0.6195 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 729.0 | 5103 | 0.6239 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 730.0 | 5110 | 0.6593 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 731.0 | 5117 | 0.6289 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 732.0 | 5124 | 0.6260 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 733.0 | 5131 | 0.6744 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 734.0 | 5138 | 0.6317 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 735.0 | 5145 | 0.6247 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 736.0 | 5152 | 0.6303 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 737.0 | 5159 | 0.6271 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 738.0 | 5166 | 0.6226 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 739.0 | 5173 | 0.6281 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 740.0 | 5180 | 0.6365 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 741.0 | 5187 | 0.6253 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 742.0 | 5194 | 0.6259 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 743.0 | 5201 | 0.6254 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 744.0 | 5208 | 0.6194 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 745.0 | 5215 | 0.6279 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 746.0 | 5222 | 0.6569 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 747.0 | 5229 | 0.6279 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 748.0 | 5236 | 0.6198 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 749.0 | 5243 | 0.6260 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 750.0 | 5250 | 0.6245 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 751.0 | 5257 | 0.6297 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 752.0 | 5264 | 0.6308 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 753.0 | 5271 | 0.6326 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 754.0 | 5278 | 0.6303 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 755.0 | 5285 | 0.6236 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 756.0 | 5292 | 0.6213 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 757.0 | 5299 | 0.6296 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 758.0 | 5306 | 0.6258 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 759.0 | 5313 | 0.6286 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 760.0 | 5320 | 0.6300 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 761.0 | 5327 | 0.6255 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 762.0 | 5334 | 0.6190 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 763.0 | 5341 | 0.6331 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 764.0 | 5348 | 0.6320 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 765.0 | 5355 | 0.6274 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 766.0 | 5362 | 0.6284 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 767.0 | 5369 | 0.6375 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 768.0 | 5376 | 0.6551 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 769.0 | 5383 | 0.6395 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 770.0 | 5390 | 0.6246 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 771.0 | 5397 | 0.6245 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 772.0 | 5404 | 0.6236 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 773.0 | 5411 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 774.0 | 5418 | 0.6397 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 775.0 | 5425 | 0.6407 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 776.0 | 5432 | 0.6218 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 777.0 | 5439 | 0.6225 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 778.0 | 5446 | 0.6506 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 779.0 | 5453 | 0.6427 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 780.0 | 5460 | 0.6203 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 781.0 | 5467 | 0.6385 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 782.0 | 5474 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 783.0 | 5481 | 0.6263 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 784.0 | 5488 | 0.6465 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5813 | 785.0 | 5495 | 0.6434 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 786.0 | 5502 | 0.6399 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 787.0 | 5509 | 0.6189 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 788.0 | 5516 | 0.6254 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 789.0 | 5523 | 0.6252 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 790.0 | 5530 | 0.6435 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 791.0 | 5537 | 0.6238 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 792.0 | 5544 | 0.6197 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 793.0 | 5551 | 0.6248 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 794.0 | 5558 | 0.6395 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 795.0 | 5565 | 0.6293 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 796.0 | 5572 | 0.6240 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 797.0 | 5579 | 0.6295 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 798.0 | 5586 | 0.6339 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 799.0 | 5593 | 0.6251 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 800.0 | 5600 | 0.6202 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 801.0 | 5607 | 0.6296 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 802.0 | 5614 | 0.6295 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 803.0 | 5621 | 0.6447 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 804.0 | 5628 | 0.6420 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 805.0 | 5635 | 0.6211 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 806.0 | 5642 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 807.0 | 5649 | 0.6324 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 808.0 | 5656 | 0.6358 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 809.0 | 5663 | 0.6242 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 810.0 | 5670 | 0.6474 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 811.0 | 5677 | 0.6516 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 812.0 | 5684 | 0.6198 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 813.0 | 5691 | 0.6217 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 814.0 | 5698 | 0.6320 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 815.0 | 5705 | 0.6374 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 816.0 | 5712 | 0.6505 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 817.0 | 5719 | 0.6293 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 818.0 | 5726 | 0.6218 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 819.0 | 5733 | 0.6229 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 820.0 | 5740 | 0.6329 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 821.0 | 5747 | 0.6291 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 822.0 | 5754 | 0.6378 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 823.0 | 5761 | 0.6254 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 824.0 | 5768 | 0.6249 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 825.0 | 5775 | 0.6284 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 826.0 | 5782 | 0.6360 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 827.0 | 5789 | 0.6307 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 828.0 | 5796 | 0.6224 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 829.0 | 5803 | 0.6305 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 830.0 | 5810 | 0.6352 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 831.0 | 5817 | 0.6445 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 832.0 | 5824 | 0.6189 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 833.0 | 5831 | 0.6197 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 834.0 | 5838 | 0.6356 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 835.0 | 5845 | 0.6328 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 836.0 | 5852 | 0.6321 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 837.0 | 5859 | 0.6229 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 838.0 | 5866 | 0.6233 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 839.0 | 5873 | 0.6412 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 840.0 | 5880 | 0.6384 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 841.0 | 5887 | 0.6313 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 842.0 | 5894 | 0.6221 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 843.0 | 5901 | 0.6248 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 844.0 | 5908 | 0.6379 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 845.0 | 5915 | 0.6343 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 846.0 | 5922 | 0.6236 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 847.0 | 5929 | 0.6293 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 848.0 | 5936 | 0.6371 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 849.0 | 5943 | 0.6441 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 850.0 | 5950 | 0.6234 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 851.0 | 5957 | 0.6218 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 852.0 | 5964 | 0.6318 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 853.0 | 5971 | 0.6256 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 854.0 | 5978 | 0.6247 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 855.0 | 5985 | 0.6413 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 856.0 | 5992 | 0.6410 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.582 | 857.0 | 5999 | 0.6242 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 858.0 | 6006 | 0.6248 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 859.0 | 6013 | 0.6275 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 860.0 | 6020 | 0.6348 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 861.0 | 6027 | 0.6336 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 862.0 | 6034 | 0.6266 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 863.0 | 6041 | 0.6300 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 864.0 | 6048 | 0.6248 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 865.0 | 6055 | 0.6309 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 866.0 | 6062 | 0.6277 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 867.0 | 6069 | 0.6252 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 868.0 | 6076 | 0.6225 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 869.0 | 6083 | 0.6330 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 870.0 | 6090 | 0.6306 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 871.0 | 6097 | 0.6214 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 872.0 | 6104 | 0.6183 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 873.0 | 6111 | 0.6254 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 874.0 | 6118 | 0.6324 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 875.0 | 6125 | 0.6333 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 876.0 | 6132 | 0.6274 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 877.0 | 6139 | 0.6315 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 878.0 | 6146 | 0.6276 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 879.0 | 6153 | 0.6296 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 880.0 | 6160 | 0.6244 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 881.0 | 6167 | 0.6325 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 882.0 | 6174 | 0.6275 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 883.0 | 6181 | 0.6304 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 884.0 | 6188 | 0.6306 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 885.0 | 6195 | 0.6298 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 886.0 | 6202 | 0.6276 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 887.0 | 6209 | 0.6313 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 888.0 | 6216 | 0.6195 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 889.0 | 6223 | 0.6244 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 890.0 | 6230 | 0.6327 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 891.0 | 6237 | 0.6406 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 892.0 | 6244 | 0.6304 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 893.0 | 6251 | 0.6213 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 894.0 | 6258 | 0.6259 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 895.0 | 6265 | 0.6316 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 896.0 | 6272 | 0.6203 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 897.0 | 6279 | 0.6218 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 898.0 | 6286 | 0.6276 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 899.0 | 6293 | 0.6371 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 900.0 | 6300 | 0.6434 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 901.0 | 6307 | 0.6277 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 902.0 | 6314 | 0.6233 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 903.0 | 6321 | 0.6260 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 904.0 | 6328 | 0.6263 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 905.0 | 6335 | 0.6316 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 906.0 | 6342 | 0.6426 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 907.0 | 6349 | 0.6276 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 908.0 | 6356 | 0.6182 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 909.0 | 6363 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 910.0 | 6370 | 0.6189 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 911.0 | 6377 | 0.6299 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 912.0 | 6384 | 0.6304 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 913.0 | 6391 | 0.6239 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 914.0 | 6398 | 0.6386 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 915.0 | 6405 | 0.6382 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 916.0 | 6412 | 0.6215 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 917.0 | 6419 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 918.0 | 6426 | 0.6355 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 919.0 | 6433 | 0.6400 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 920.0 | 6440 | 0.6184 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 921.0 | 6447 | 0.6298 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 922.0 | 6454 | 0.6266 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 923.0 | 6461 | 0.6313 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 924.0 | 6468 | 0.6351 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 925.0 | 6475 | 0.6304 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 926.0 | 6482 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 927.0 | 6489 | 0.6310 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.58 | 928.0 | 6496 | 0.6239 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 929.0 | 6503 | 0.6315 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 930.0 | 6510 | 0.6290 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 931.0 | 6517 | 0.6314 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 932.0 | 6524 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 933.0 | 6531 | 0.6242 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 934.0 | 6538 | 0.6263 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 935.0 | 6545 | 0.6380 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 936.0 | 6552 | 0.6299 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 937.0 | 6559 | 0.6228 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 938.0 | 6566 | 0.6195 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 939.0 | 6573 | 0.6321 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 940.0 | 6580 | 0.6308 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 941.0 | 6587 | 0.6260 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 942.0 | 6594 | 0.6317 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 943.0 | 6601 | 0.6319 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 944.0 | 6608 | 0.6247 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 945.0 | 6615 | 0.6301 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 946.0 | 6622 | 0.6259 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 947.0 | 6629 | 0.6200 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 948.0 | 6636 | 0.6271 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 949.0 | 6643 | 0.6298 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 950.0 | 6650 | 0.6275 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 951.0 | 6657 | 0.6351 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 952.0 | 6664 | 0.6363 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 953.0 | 6671 | 0.6307 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 954.0 | 6678 | 0.6300 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 955.0 | 6685 | 0.6316 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 956.0 | 6692 | 0.6286 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 957.0 | 6699 | 0.6364 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 958.0 | 6706 | 0.6378 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 959.0 | 6713 | 0.6225 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 960.0 | 6720 | 0.6224 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 961.0 | 6727 | 0.6280 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 962.0 | 6734 | 0.6417 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 963.0 | 6741 | 0.6378 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 964.0 | 6748 | 0.6214 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 965.0 | 6755 | 0.6209 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 966.0 | 6762 | 0.6198 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 967.0 | 6769 | 0.6293 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 968.0 | 6776 | 0.6323 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 969.0 | 6783 | 0.6259 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 970.0 | 6790 | 0.6383 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 971.0 | 6797 | 0.6225 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 972.0 | 6804 | 0.6246 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 973.0 | 6811 | 0.6333 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 974.0 | 6818 | 0.6219 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 975.0 | 6825 | 0.6232 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 976.0 | 6832 | 0.6261 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 977.0 | 6839 | 0.6308 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 978.0 | 6846 | 0.6271 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 979.0 | 6853 | 0.6277 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 980.0 | 6860 | 0.6199 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 981.0 | 6867 | 0.6247 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 982.0 | 6874 | 0.6291 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 983.0 | 6881 | 0.6278 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 984.0 | 6888 | 0.6379 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 985.0 | 6895 | 0.6298 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 986.0 | 6902 | 0.6209 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 987.0 | 6909 | 0.6228 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 988.0 | 6916 | 0.6289 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 989.0 | 6923 | 0.6318 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 990.0 | 6930 | 0.6287 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 991.0 | 6937 | 0.6374 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 992.0 | 6944 | 0.6315 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 993.0 | 6951 | 0.6381 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 994.0 | 6958 | 0.6231 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 995.0 | 6965 | 0.6236 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 996.0 | 6972 | 0.6238 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 997.0 | 6979 | 0.6310 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 998.0 | 6986 | 0.6342 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5822 | 999.0 | 6993 | 0.6351 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1000.0 | 7000 | 0.6260 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1001.0 | 7007 | 0.6260 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1002.0 | 7014 | 0.6302 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1003.0 | 7021 | 0.6322 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1004.0 | 7028 | 0.6238 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1005.0 | 7035 | 0.6251 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1006.0 | 7042 | 0.6267 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1007.0 | 7049 | 0.6210 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1008.0 | 7056 | 0.6249 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1009.0 | 7063 | 0.6414 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1010.0 | 7070 | 0.6292 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1011.0 | 7077 | 0.6220 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1012.0 | 7084 | 0.6181 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1013.0 | 7091 | 0.6218 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1014.0 | 7098 | 0.6291 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1015.0 | 7105 | 0.6330 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1016.0 | 7112 | 0.6310 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1017.0 | 7119 | 0.6304 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1018.0 | 7126 | 0.6210 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1019.0 | 7133 | 0.6271 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1020.0 | 7140 | 0.6307 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1021.0 | 7147 | 0.6289 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1022.0 | 7154 | 0.6291 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1023.0 | 7161 | 0.6292 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1024.0 | 7168 | 0.6256 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1025.0 | 7175 | 0.6276 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1026.0 | 7182 | 0.6284 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1027.0 | 7189 | 0.6196 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1028.0 | 7196 | 0.6234 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1029.0 | 7203 | 0.6302 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1030.0 | 7210 | 0.6393 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1031.0 | 7217 | 0.6402 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1032.0 | 7224 | 0.6306 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1033.0 | 7231 | 0.6196 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1034.0 | 7238 | 0.6193 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1035.0 | 7245 | 0.6249 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1036.0 | 7252 | 0.6332 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1037.0 | 7259 | 0.6317 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1038.0 | 7266 | 0.6327 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1039.0 | 7273 | 0.6184 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1040.0 | 7280 | 0.6194 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1041.0 | 7287 | 0.6254 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1042.0 | 7294 | 0.6366 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1043.0 | 7301 | 0.6292 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1044.0 | 7308 | 0.6248 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1045.0 | 7315 | 0.6223 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1046.0 | 7322 | 0.6214 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1047.0 | 7329 | 0.6215 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1048.0 | 7336 | 0.6239 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1049.0 | 7343 | 0.6236 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1050.0 | 7350 | 0.6240 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1051.0 | 7357 | 0.6310 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1052.0 | 7364 | 0.6318 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1053.0 | 7371 | 0.6290 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1054.0 | 7378 | 0.6309 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1055.0 | 7385 | 0.6307 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1056.0 | 7392 | 0.6233 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1057.0 | 7399 | 0.6208 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1058.0 | 7406 | 0.6383 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1059.0 | 7413 | 0.6258 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1060.0 | 7420 | 0.6255 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1061.0 | 7427 | 0.6220 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1062.0 | 7434 | 0.6249 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1063.0 | 7441 | 0.6333 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1064.0 | 7448 | 0.6369 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1065.0 | 7455 | 0.6234 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1066.0 | 7462 | 0.6266 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1067.0 | 7469 | 0.6369 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1068.0 | 7476 | 0.6243 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1069.0 | 7483 | 0.6227 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1070.0 | 7490 | 0.6253 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5799 | 1071.0 | 7497 | 0.6256 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1072.0 | 7504 | 0.6242 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1073.0 | 7511 | 0.6343 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1074.0 | 7518 | 0.6391 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1075.0 | 7525 | 0.6317 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1076.0 | 7532 | 0.6233 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1077.0 | 7539 | 0.6262 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1078.0 | 7546 | 0.6283 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1079.0 | 7553 | 0.6328 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1080.0 | 7560 | 0.6377 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1081.0 | 7567 | 0.6323 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1082.0 | 7574 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1083.0 | 7581 | 0.6266 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1084.0 | 7588 | 0.6286 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1085.0 | 7595 | 0.6275 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1086.0 | 7602 | 0.6302 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1087.0 | 7609 | 0.6274 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1088.0 | 7616 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1089.0 | 7623 | 0.6297 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1090.0 | 7630 | 0.6355 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1091.0 | 7637 | 0.6303 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1092.0 | 7644 | 0.6245 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1093.0 | 7651 | 0.6285 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1094.0 | 7658 | 0.6330 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1095.0 | 7665 | 0.6328 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1096.0 | 7672 | 0.6263 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1097.0 | 7679 | 0.6221 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1098.0 | 7686 | 0.6232 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1099.0 | 7693 | 0.6226 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1100.0 | 7700 | 0.6231 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1101.0 | 7707 | 0.6329 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1102.0 | 7714 | 0.6319 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1103.0 | 7721 | 0.6313 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1104.0 | 7728 | 0.6257 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1105.0 | 7735 | 0.6253 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1106.0 | 7742 | 0.6212 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1107.0 | 7749 | 0.6206 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1108.0 | 7756 | 0.6215 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1109.0 | 7763 | 0.6282 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1110.0 | 7770 | 0.6229 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1111.0 | 7777 | 0.6228 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1112.0 | 7784 | 0.6272 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1113.0 | 7791 | 0.6290 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1114.0 | 7798 | 0.6316 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1115.0 | 7805 | 0.6276 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1116.0 | 7812 | 0.6252 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1117.0 | 7819 | 0.6220 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1118.0 | 7826 | 0.6224 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1119.0 | 7833 | 0.6251 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1120.0 | 7840 | 0.6279 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1121.0 | 7847 | 0.6320 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1122.0 | 7854 | 0.6350 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1123.0 | 7861 | 0.6398 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1124.0 | 7868 | 0.6246 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1125.0 | 7875 | 0.6265 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1126.0 | 7882 | 0.6306 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1127.0 | 7889 | 0.6263 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1128.0 | 7896 | 0.6336 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1129.0 | 7903 | 0.6285 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1130.0 | 7910 | 0.6230 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1131.0 | 7917 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1132.0 | 7924 | 0.6272 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1133.0 | 7931 | 0.6415 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1134.0 | 7938 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1135.0 | 7945 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1136.0 | 7952 | 0.6237 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1137.0 | 7959 | 0.6376 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1138.0 | 7966 | 0.6278 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1139.0 | 7973 | 0.6292 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1140.0 | 7980 | 0.6303 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1141.0 | 7987 | 0.6353 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5793 | 1142.0 | 7994 | 0.6350 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1143.0 | 8001 | 0.6334 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1144.0 | 8008 | 0.6223 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1145.0 | 8015 | 0.6286 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1146.0 | 8022 | 0.6395 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1147.0 | 8029 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1148.0 | 8036 | 0.6197 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1149.0 | 8043 | 0.6275 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1150.0 | 8050 | 0.6428 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1151.0 | 8057 | 0.6482 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1152.0 | 8064 | 0.6338 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1153.0 | 8071 | 0.6240 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1154.0 | 8078 | 0.6293 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1155.0 | 8085 | 0.6305 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1156.0 | 8092 | 0.6296 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1157.0 | 8099 | 0.6218 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1158.0 | 8106 | 0.6233 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1159.0 | 8113 | 0.6344 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1160.0 | 8120 | 0.6291 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1161.0 | 8127 | 0.6280 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1162.0 | 8134 | 0.6234 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1163.0 | 8141 | 0.6253 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1164.0 | 8148 | 0.6255 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1165.0 | 8155 | 0.6323 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1166.0 | 8162 | 0.6327 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1167.0 | 8169 | 0.6262 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1168.0 | 8176 | 0.6238 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1169.0 | 8183 | 0.6235 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1170.0 | 8190 | 0.6237 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1171.0 | 8197 | 0.6274 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1172.0 | 8204 | 0.6325 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1173.0 | 8211 | 0.6306 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1174.0 | 8218 | 0.6259 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1175.0 | 8225 | 0.6206 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1176.0 | 8232 | 0.6251 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1177.0 | 8239 | 0.6251 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1178.0 | 8246 | 0.6258 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1179.0 | 8253 | 0.6374 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1180.0 | 8260 | 0.6368 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1181.0 | 8267 | 0.6301 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1182.0 | 8274 | 0.6228 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1183.0 | 8281 | 0.6302 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1184.0 | 8288 | 0.6373 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1185.0 | 8295 | 0.6377 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1186.0 | 8302 | 0.6274 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1187.0 | 8309 | 0.6283 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1188.0 | 8316 | 0.6267 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1189.0 | 8323 | 0.6298 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1190.0 | 8330 | 0.6319 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1191.0 | 8337 | 0.6302 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1192.0 | 8344 | 0.6257 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1193.0 | 8351 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1194.0 | 8358 | 0.6283 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1195.0 | 8365 | 0.6277 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1196.0 | 8372 | 0.6188 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1197.0 | 8379 | 0.6237 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1198.0 | 8386 | 0.6345 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1199.0 | 8393 | 0.6403 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1200.0 | 8400 | 0.6424 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1201.0 | 8407 | 0.6287 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1202.0 | 8414 | 0.6333 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1203.0 | 8421 | 0.6300 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1204.0 | 8428 | 0.6256 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1205.0 | 8435 | 0.6230 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1206.0 | 8442 | 0.6260 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1207.0 | 8449 | 0.6300 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1208.0 | 8456 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1209.0 | 8463 | 0.6236 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1210.0 | 8470 | 0.6302 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1211.0 | 8477 | 0.6316 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1212.0 | 8484 | 0.6237 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1213.0 | 8491 | 0.6205 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5779 | 1214.0 | 8498 | 0.6264 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1215.0 | 8505 | 0.6320 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1216.0 | 8512 | 0.6280 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1217.0 | 8519 | 0.6284 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1218.0 | 8526 | 0.6286 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1219.0 | 8533 | 0.6317 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1220.0 | 8540 | 0.6290 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1221.0 | 8547 | 0.6294 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1222.0 | 8554 | 0.6204 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1223.0 | 8561 | 0.6224 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1224.0 | 8568 | 0.6232 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1225.0 | 8575 | 0.6284 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1226.0 | 8582 | 0.6318 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1227.0 | 8589 | 0.6290 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1228.0 | 8596 | 0.6288 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1229.0 | 8603 | 0.6290 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1230.0 | 8610 | 0.6287 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1231.0 | 8617 | 0.6293 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1232.0 | 8624 | 0.6301 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1233.0 | 8631 | 0.6253 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1234.0 | 8638 | 0.6229 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1235.0 | 8645 | 0.6280 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1236.0 | 8652 | 0.6350 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1237.0 | 8659 | 0.6311 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1238.0 | 8666 | 0.6256 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1239.0 | 8673 | 0.6266 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1240.0 | 8680 | 0.6276 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1241.0 | 8687 | 0.6251 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1242.0 | 8694 | 0.6261 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1243.0 | 8701 | 0.6287 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1244.0 | 8708 | 0.6333 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1245.0 | 8715 | 0.6351 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1246.0 | 8722 | 0.6274 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1247.0 | 8729 | 0.6250 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1248.0 | 8736 | 0.6243 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1249.0 | 8743 | 0.6238 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1250.0 | 8750 | 0.6258 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1251.0 | 8757 | 0.6277 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1252.0 | 8764 | 0.6301 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1253.0 | 8771 | 0.6365 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1254.0 | 8778 | 0.6348 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1255.0 | 8785 | 0.6285 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1256.0 | 8792 | 0.6265 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1257.0 | 8799 | 0.6242 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1258.0 | 8806 | 0.6284 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1259.0 | 8813 | 0.6276 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1260.0 | 8820 | 0.6241 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1261.0 | 8827 | 0.6291 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1262.0 | 8834 | 0.6411 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1263.0 | 8841 | 0.6472 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1264.0 | 8848 | 0.6384 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1265.0 | 8855 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1266.0 | 8862 | 0.6256 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1267.0 | 8869 | 0.6243 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1268.0 | 8876 | 0.6331 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1269.0 | 8883 | 0.6311 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1270.0 | 8890 | 0.6377 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1271.0 | 8897 | 0.6292 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1272.0 | 8904 | 0.6232 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1273.0 | 8911 | 0.6257 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1274.0 | 8918 | 0.6292 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1275.0 | 8925 | 0.6228 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1276.0 | 8932 | 0.6242 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1277.0 | 8939 | 0.6316 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1278.0 | 8946 | 0.6335 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1279.0 | 8953 | 0.6313 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1280.0 | 8960 | 0.6316 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1281.0 | 8967 | 0.6265 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1282.0 | 8974 | 0.6255 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1283.0 | 8981 | 0.6274 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1284.0 | 8988 | 0.6350 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5788 | 1285.0 | 8995 | 0.6351 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1286.0 | 9002 | 0.6312 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1287.0 | 9009 | 0.6299 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1288.0 | 9016 | 0.6304 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1289.0 | 9023 | 0.6259 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1290.0 | 9030 | 0.6210 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1291.0 | 9037 | 0.6219 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1292.0 | 9044 | 0.6219 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1293.0 | 9051 | 0.6261 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1294.0 | 9058 | 0.6372 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1295.0 | 9065 | 0.6394 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1296.0 | 9072 | 0.6387 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1297.0 | 9079 | 0.6317 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1298.0 | 9086 | 0.6250 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1299.0 | 9093 | 0.6273 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1300.0 | 9100 | 0.6285 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1301.0 | 9107 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1302.0 | 9114 | 0.6330 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1303.0 | 9121 | 0.6299 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1304.0 | 9128 | 0.6302 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1305.0 | 9135 | 0.6307 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1306.0 | 9142 | 0.6254 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1307.0 | 9149 | 0.6248 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1308.0 | 9156 | 0.6303 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1309.0 | 9163 | 0.6311 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1310.0 | 9170 | 0.6277 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1311.0 | 9177 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1312.0 | 9184 | 0.6341 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1313.0 | 9191 | 0.6330 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1314.0 | 9198 | 0.6270 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1315.0 | 9205 | 0.6232 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1316.0 | 9212 | 0.6262 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1317.0 | 9219 | 0.6295 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1318.0 | 9226 | 0.6291 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1319.0 | 9233 | 0.6312 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1320.0 | 9240 | 0.6322 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1321.0 | 9247 | 0.6322 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1322.0 | 9254 | 0.6293 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1323.0 | 9261 | 0.6249 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1324.0 | 9268 | 0.6259 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1325.0 | 9275 | 0.6301 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1326.0 | 9282 | 0.6265 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1327.0 | 9289 | 0.6295 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1328.0 | 9296 | 0.6279 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1329.0 | 9303 | 0.6245 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1330.0 | 9310 | 0.6256 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1331.0 | 9317 | 0.6280 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1332.0 | 9324 | 0.6276 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1333.0 | 9331 | 0.6252 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1334.0 | 9338 | 0.6308 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1335.0 | 9345 | 0.6244 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1336.0 | 9352 | 0.6274 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1337.0 | 9359 | 0.6258 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1338.0 | 9366 | 0.6235 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1339.0 | 9373 | 0.6241 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1340.0 | 9380 | 0.6330 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1341.0 | 9387 | 0.6310 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1342.0 | 9394 | 0.6327 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1343.0 | 9401 | 0.6284 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1344.0 | 9408 | 0.6250 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1345.0 | 9415 | 0.6282 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1346.0 | 9422 | 0.6275 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1347.0 | 9429 | 0.6245 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1348.0 | 9436 | 0.6245 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1349.0 | 9443 | 0.6232 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1350.0 | 9450 | 0.6242 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1351.0 | 9457 | 0.6344 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1352.0 | 9464 | 0.6322 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1353.0 | 9471 | 0.6348 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1354.0 | 9478 | 0.6305 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1355.0 | 9485 | 0.6283 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1356.0 | 9492 | 0.6253 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1357.0 | 9499 | 0.6281 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1358.0 | 9506 | 0.6285 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1359.0 | 9513 | 0.6238 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1360.0 | 9520 | 0.6278 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1361.0 | 9527 | 0.6342 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1362.0 | 9534 | 0.6319 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1363.0 | 9541 | 0.6339 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1364.0 | 9548 | 0.6356 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1365.0 | 9555 | 0.6333 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1366.0 | 9562 | 0.6295 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1367.0 | 9569 | 0.6282 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1368.0 | 9576 | 0.6259 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1369.0 | 9583 | 0.6220 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1370.0 | 9590 | 0.6233 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1371.0 | 9597 | 0.6229 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1372.0 | 9604 | 0.6235 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1373.0 | 9611 | 0.6226 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1374.0 | 9618 | 0.6261 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1375.0 | 9625 | 0.6296 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1376.0 | 9632 | 0.6279 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1377.0 | 9639 | 0.6273 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1378.0 | 9646 | 0.6286 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1379.0 | 9653 | 0.6271 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1380.0 | 9660 | 0.6250 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1381.0 | 9667 | 0.6261 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1382.0 | 9674 | 0.6245 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1383.0 | 9681 | 0.6244 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1384.0 | 9688 | 0.6251 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1385.0 | 9695 | 0.6337 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1386.0 | 9702 | 0.6322 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1387.0 | 9709 | 0.6267 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1388.0 | 9716 | 0.6221 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1389.0 | 9723 | 0.6249 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1390.0 | 9730 | 0.6328 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1391.0 | 9737 | 0.6370 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1392.0 | 9744 | 0.6357 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1393.0 | 9751 | 0.6278 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1394.0 | 9758 | 0.6251 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1395.0 | 9765 | 0.6254 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1396.0 | 9772 | 0.6282 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1397.0 | 9779 | 0.6297 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1398.0 | 9786 | 0.6298 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1399.0 | 9793 | 0.6375 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1400.0 | 9800 | 0.6327 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1401.0 | 9807 | 0.6228 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1402.0 | 9814 | 0.6231 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1403.0 | 9821 | 0.6256 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1404.0 | 9828 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1405.0 | 9835 | 0.6249 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1406.0 | 9842 | 0.6253 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1407.0 | 9849 | 0.6273 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1408.0 | 9856 | 0.6289 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1409.0 | 9863 | 0.6281 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1410.0 | 9870 | 0.6285 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1411.0 | 9877 | 0.6278 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1412.0 | 9884 | 0.6250 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1413.0 | 9891 | 0.6235 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1414.0 | 9898 | 0.6232 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1415.0 | 9905 | 0.6237 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1416.0 | 9912 | 0.6264 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1417.0 | 9919 | 0.6215 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1418.0 | 9926 | 0.6223 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1419.0 | 9933 | 0.6291 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1420.0 | 9940 | 0.6285 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1421.0 | 9947 | 0.6300 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1422.0 | 9954 | 0.6373 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1423.0 | 9961 | 0.6324 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1424.0 | 9968 | 0.6290 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1425.0 | 9975 | 0.6205 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1426.0 | 9982 | 0.6226 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1427.0 | 9989 | 0.6251 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5773 | 1428.0 | 9996 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1429.0 | 10003 | 0.6286 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1430.0 | 10010 | 0.6355 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1431.0 | 10017 | 0.6293 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1432.0 | 10024 | 0.6229 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1433.0 | 10031 | 0.6240 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1434.0 | 10038 | 0.6231 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1435.0 | 10045 | 0.6280 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1436.0 | 10052 | 0.6293 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1437.0 | 10059 | 0.6289 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1438.0 | 10066 | 0.6262 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1439.0 | 10073 | 0.6297 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1440.0 | 10080 | 0.6265 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1441.0 | 10087 | 0.6316 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1442.0 | 10094 | 0.6355 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1443.0 | 10101 | 0.6343 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1444.0 | 10108 | 0.6293 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1445.0 | 10115 | 0.6242 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1446.0 | 10122 | 0.6214 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1447.0 | 10129 | 0.6246 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1448.0 | 10136 | 0.6315 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1449.0 | 10143 | 0.6321 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1450.0 | 10150 | 0.6273 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1451.0 | 10157 | 0.6271 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1452.0 | 10164 | 0.6255 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1453.0 | 10171 | 0.6239 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1454.0 | 10178 | 0.6226 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1455.0 | 10185 | 0.6252 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1456.0 | 10192 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1457.0 | 10199 | 0.6323 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1458.0 | 10206 | 0.6286 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1459.0 | 10213 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1460.0 | 10220 | 0.6260 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1461.0 | 10227 | 0.6241 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1462.0 | 10234 | 0.6223 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1463.0 | 10241 | 0.6216 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1464.0 | 10248 | 0.6221 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1465.0 | 10255 | 0.6215 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1466.0 | 10262 | 0.6254 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1467.0 | 10269 | 0.6294 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1468.0 | 10276 | 0.6262 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1469.0 | 10283 | 0.6220 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1470.0 | 10290 | 0.6237 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1471.0 | 10297 | 0.6283 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1472.0 | 10304 | 0.6299 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1473.0 | 10311 | 0.6321 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1474.0 | 10318 | 0.6271 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1475.0 | 10325 | 0.6252 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1476.0 | 10332 | 0.6266 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1477.0 | 10339 | 0.6263 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1478.0 | 10346 | 0.6300 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1479.0 | 10353 | 0.6284 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1480.0 | 10360 | 0.6256 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1481.0 | 10367 | 0.6238 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1482.0 | 10374 | 0.6226 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1483.0 | 10381 | 0.6260 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1484.0 | 10388 | 0.6301 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1485.0 | 10395 | 0.6285 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1486.0 | 10402 | 0.6282 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1487.0 | 10409 | 0.6280 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1488.0 | 10416 | 0.6303 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1489.0 | 10423 | 0.6306 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1490.0 | 10430 | 0.6307 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1491.0 | 10437 | 0.6251 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1492.0 | 10444 | 0.6249 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1493.0 | 10451 | 0.6226 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1494.0 | 10458 | 0.6272 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1495.0 | 10465 | 0.6294 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1496.0 | 10472 | 0.6294 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1497.0 | 10479 | 0.6283 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1498.0 | 10486 | 0.6248 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5781 | 1499.0 | 10493 | 0.6257 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1500.0 | 10500 | 0.6246 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1501.0 | 10507 | 0.6237 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1502.0 | 10514 | 0.6212 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1503.0 | 10521 | 0.6270 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1504.0 | 10528 | 0.6322 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1505.0 | 10535 | 0.6271 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1506.0 | 10542 | 0.6247 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1507.0 | 10549 | 0.6295 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1508.0 | 10556 | 0.6289 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1509.0 | 10563 | 0.6262 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1510.0 | 10570 | 0.6262 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1511.0 | 10577 | 0.6255 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1512.0 | 10584 | 0.6285 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1513.0 | 10591 | 0.6280 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1514.0 | 10598 | 0.6294 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1515.0 | 10605 | 0.6307 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1516.0 | 10612 | 0.6365 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1517.0 | 10619 | 0.6326 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1518.0 | 10626 | 0.6267 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1519.0 | 10633 | 0.6259 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1520.0 | 10640 | 0.6239 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1521.0 | 10647 | 0.6249 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1522.0 | 10654 | 0.6256 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1523.0 | 10661 | 0.6266 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1524.0 | 10668 | 0.6309 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1525.0 | 10675 | 0.6292 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1526.0 | 10682 | 0.6251 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1527.0 | 10689 | 0.6236 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1528.0 | 10696 | 0.6237 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1529.0 | 10703 | 0.6257 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1530.0 | 10710 | 0.6285 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1531.0 | 10717 | 0.6256 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1532.0 | 10724 | 0.6258 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1533.0 | 10731 | 0.6247 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1534.0 | 10738 | 0.6264 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1535.0 | 10745 | 0.6287 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1536.0 | 10752 | 0.6273 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1537.0 | 10759 | 0.6242 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1538.0 | 10766 | 0.6234 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1539.0 | 10773 | 0.6227 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1540.0 | 10780 | 0.6228 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1541.0 | 10787 | 0.6258 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1542.0 | 10794 | 0.6276 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1543.0 | 10801 | 0.6331 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1544.0 | 10808 | 0.6285 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1545.0 | 10815 | 0.6236 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1546.0 | 10822 | 0.6238 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1547.0 | 10829 | 0.6243 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1548.0 | 10836 | 0.6297 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1549.0 | 10843 | 0.6276 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1550.0 | 10850 | 0.6260 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1551.0 | 10857 | 0.6260 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1552.0 | 10864 | 0.6322 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1553.0 | 10871 | 0.6350 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1554.0 | 10878 | 0.6340 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1555.0 | 10885 | 0.6297 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1556.0 | 10892 | 0.6232 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1557.0 | 10899 | 0.6209 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1558.0 | 10906 | 0.6208 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1559.0 | 10913 | 0.6239 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1560.0 | 10920 | 0.6266 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1561.0 | 10927 | 0.6327 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1562.0 | 10934 | 0.6331 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1563.0 | 10941 | 0.6304 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1564.0 | 10948 | 0.6308 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1565.0 | 10955 | 0.6280 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1566.0 | 10962 | 0.6251 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1567.0 | 10969 | 0.6274 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1568.0 | 10976 | 0.6278 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1569.0 | 10983 | 0.6318 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1570.0 | 10990 | 0.6323 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5778 | 1571.0 | 10997 | 0.6289 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1572.0 | 11004 | 0.6257 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1573.0 | 11011 | 0.6254 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1574.0 | 11018 | 0.6240 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1575.0 | 11025 | 0.6263 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1576.0 | 11032 | 0.6275 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1577.0 | 11039 | 0.6274 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1578.0 | 11046 | 0.6260 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1579.0 | 11053 | 0.6263 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1580.0 | 11060 | 0.6245 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1581.0 | 11067 | 0.6274 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1582.0 | 11074 | 0.6253 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1583.0 | 11081 | 0.6270 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1584.0 | 11088 | 0.6276 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1585.0 | 11095 | 0.6301 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1586.0 | 11102 | 0.6286 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1587.0 | 11109 | 0.6285 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1588.0 | 11116 | 0.6267 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1589.0 | 11123 | 0.6245 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1590.0 | 11130 | 0.6225 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1591.0 | 11137 | 0.6229 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1592.0 | 11144 | 0.6254 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1593.0 | 11151 | 0.6275 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1594.0 | 11158 | 0.6306 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1595.0 | 11165 | 0.6302 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1596.0 | 11172 | 0.6345 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1597.0 | 11179 | 0.6284 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1598.0 | 11186 | 0.6275 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1599.0 | 11193 | 0.6277 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1600.0 | 11200 | 0.6337 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1601.0 | 11207 | 0.6344 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1602.0 | 11214 | 0.6332 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1603.0 | 11221 | 0.6319 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1604.0 | 11228 | 0.6301 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1605.0 | 11235 | 0.6288 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1606.0 | 11242 | 0.6281 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1607.0 | 11249 | 0.6255 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1608.0 | 11256 | 0.6253 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1609.0 | 11263 | 0.6263 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1610.0 | 11270 | 0.6252 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1611.0 | 11277 | 0.6241 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1612.0 | 11284 | 0.6225 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1613.0 | 11291 | 0.6238 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1614.0 | 11298 | 0.6234 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1615.0 | 11305 | 0.6244 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1616.0 | 11312 | 0.6303 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1617.0 | 11319 | 0.6323 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1618.0 | 11326 | 0.6339 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1619.0 | 11333 | 0.6290 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1620.0 | 11340 | 0.6254 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1621.0 | 11347 | 0.6246 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1622.0 | 11354 | 0.6270 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1623.0 | 11361 | 0.6284 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1624.0 | 11368 | 0.6301 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1625.0 | 11375 | 0.6288 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1626.0 | 11382 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1627.0 | 11389 | 0.6231 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1628.0 | 11396 | 0.6228 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1629.0 | 11403 | 0.6256 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1630.0 | 11410 | 0.6292 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1631.0 | 11417 | 0.6298 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1632.0 | 11424 | 0.6297 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1633.0 | 11431 | 0.6318 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1634.0 | 11438 | 0.6301 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1635.0 | 11445 | 0.6272 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1636.0 | 11452 | 0.6275 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1637.0 | 11459 | 0.6278 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1638.0 | 11466 | 0.6256 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1639.0 | 11473 | 0.6250 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1640.0 | 11480 | 0.6243 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1641.0 | 11487 | 0.6223 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5785 | 1642.0 | 11494 | 0.6243 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1643.0 | 11501 | 0.6265 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1644.0 | 11508 | 0.6275 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1645.0 | 11515 | 0.6279 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1646.0 | 11522 | 0.6264 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1647.0 | 11529 | 0.6287 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1648.0 | 11536 | 0.6316 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1649.0 | 11543 | 0.6307 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1650.0 | 11550 | 0.6273 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1651.0 | 11557 | 0.6272 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1652.0 | 11564 | 0.6257 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1653.0 | 11571 | 0.6288 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1654.0 | 11578 | 0.6297 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1655.0 | 11585 | 0.6295 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1656.0 | 11592 | 0.6277 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1657.0 | 11599 | 0.6264 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1658.0 | 11606 | 0.6270 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1659.0 | 11613 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1660.0 | 11620 | 0.6246 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1661.0 | 11627 | 0.6224 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1662.0 | 11634 | 0.6249 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1663.0 | 11641 | 0.6279 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1664.0 | 11648 | 0.6260 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1665.0 | 11655 | 0.6257 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1666.0 | 11662 | 0.6273 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1667.0 | 11669 | 0.6318 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1668.0 | 11676 | 0.6307 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1669.0 | 11683 | 0.6320 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1670.0 | 11690 | 0.6346 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1671.0 | 11697 | 0.6276 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1672.0 | 11704 | 0.6254 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1673.0 | 11711 | 0.6237 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1674.0 | 11718 | 0.6231 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1675.0 | 11725 | 0.6244 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1676.0 | 11732 | 0.6261 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1677.0 | 11739 | 0.6283 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1678.0 | 11746 | 0.6292 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1679.0 | 11753 | 0.6264 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1680.0 | 11760 | 0.6286 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1681.0 | 11767 | 0.6283 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1682.0 | 11774 | 0.6256 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1683.0 | 11781 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1684.0 | 11788 | 0.6241 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1685.0 | 11795 | 0.6244 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1686.0 | 11802 | 0.6258 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1687.0 | 11809 | 0.6273 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1688.0 | 11816 | 0.6296 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1689.0 | 11823 | 0.6251 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1690.0 | 11830 | 0.6247 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1691.0 | 11837 | 0.6249 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1692.0 | 11844 | 0.6246 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1693.0 | 11851 | 0.6255 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1694.0 | 11858 | 0.6242 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1695.0 | 11865 | 0.6242 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1696.0 | 11872 | 0.6252 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1697.0 | 11879 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1698.0 | 11886 | 0.6312 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1699.0 | 11893 | 0.6288 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1700.0 | 11900 | 0.6267 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1701.0 | 11907 | 0.6243 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1702.0 | 11914 | 0.6254 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1703.0 | 11921 | 0.6274 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1704.0 | 11928 | 0.6275 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1705.0 | 11935 | 0.6313 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1706.0 | 11942 | 0.6326 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1707.0 | 11949 | 0.6339 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1708.0 | 11956 | 0.6341 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1709.0 | 11963 | 0.6321 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1710.0 | 11970 | 0.6305 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1711.0 | 11977 | 0.6273 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1712.0 | 11984 | 0.6254 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1713.0 | 11991 | 0.6237 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.576 | 1714.0 | 11998 | 0.6242 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1715.0 | 12005 | 0.6250 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1716.0 | 12012 | 0.6255 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1717.0 | 12019 | 0.6267 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1718.0 | 12026 | 0.6265 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1719.0 | 12033 | 0.6283 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1720.0 | 12040 | 0.6287 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1721.0 | 12047 | 0.6289 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1722.0 | 12054 | 0.6297 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1723.0 | 12061 | 0.6324 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1724.0 | 12068 | 0.6312 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1725.0 | 12075 | 0.6281 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1726.0 | 12082 | 0.6248 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1727.0 | 12089 | 0.6250 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1728.0 | 12096 | 0.6247 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1729.0 | 12103 | 0.6237 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1730.0 | 12110 | 0.6246 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1731.0 | 12117 | 0.6282 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1732.0 | 12124 | 0.6278 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1733.0 | 12131 | 0.6284 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1734.0 | 12138 | 0.6270 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1735.0 | 12145 | 0.6261 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1736.0 | 12152 | 0.6262 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1737.0 | 12159 | 0.6262 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1738.0 | 12166 | 0.6256 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1739.0 | 12173 | 0.6235 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1740.0 | 12180 | 0.6234 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1741.0 | 12187 | 0.6253 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1742.0 | 12194 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1743.0 | 12201 | 0.6255 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1744.0 | 12208 | 0.6217 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1745.0 | 12215 | 0.6214 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1746.0 | 12222 | 0.6226 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1747.0 | 12229 | 0.6233 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1748.0 | 12236 | 0.6253 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1749.0 | 12243 | 0.6263 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1750.0 | 12250 | 0.6285 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1751.0 | 12257 | 0.6327 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1752.0 | 12264 | 0.6323 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1753.0 | 12271 | 0.6290 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1754.0 | 12278 | 0.6286 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1755.0 | 12285 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1756.0 | 12292 | 0.6263 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1757.0 | 12299 | 0.6279 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1758.0 | 12306 | 0.6262 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1759.0 | 12313 | 0.6257 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1760.0 | 12320 | 0.6262 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1761.0 | 12327 | 0.6256 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1762.0 | 12334 | 0.6251 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1763.0 | 12341 | 0.6251 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1764.0 | 12348 | 0.6257 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1765.0 | 12355 | 0.6280 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1766.0 | 12362 | 0.6286 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1767.0 | 12369 | 0.6274 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1768.0 | 12376 | 0.6287 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1769.0 | 12383 | 0.6285 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1770.0 | 12390 | 0.6277 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1771.0 | 12397 | 0.6274 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1772.0 | 12404 | 0.6281 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1773.0 | 12411 | 0.6281 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1774.0 | 12418 | 0.6281 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1775.0 | 12425 | 0.6263 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1776.0 | 12432 | 0.6263 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1777.0 | 12439 | 0.6254 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1778.0 | 12446 | 0.6253 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1779.0 | 12453 | 0.6262 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1780.0 | 12460 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1781.0 | 12467 | 0.6281 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1782.0 | 12474 | 0.6285 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1783.0 | 12481 | 0.6289 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1784.0 | 12488 | 0.6290 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1785.0 | 12495 | 0.6297 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1786.0 | 12502 | 0.6275 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1787.0 | 12509 | 0.6288 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1788.0 | 12516 | 0.6282 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1789.0 | 12523 | 0.6289 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1790.0 | 12530 | 0.6284 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1791.0 | 12537 | 0.6287 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1792.0 | 12544 | 0.6288 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1793.0 | 12551 | 0.6287 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1794.0 | 12558 | 0.6287 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1795.0 | 12565 | 0.6262 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1796.0 | 12572 | 0.6264 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1797.0 | 12579 | 0.6263 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1798.0 | 12586 | 0.6267 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1799.0 | 12593 | 0.6267 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1800.0 | 12600 | 0.6274 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1801.0 | 12607 | 0.6279 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1802.0 | 12614 | 0.6284 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1803.0 | 12621 | 0.6295 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1804.0 | 12628 | 0.6287 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1805.0 | 12635 | 0.6283 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1806.0 | 12642 | 0.6284 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1807.0 | 12649 | 0.6264 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1808.0 | 12656 | 0.6250 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1809.0 | 12663 | 0.6254 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1810.0 | 12670 | 0.6257 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1811.0 | 12677 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1812.0 | 12684 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1813.0 | 12691 | 0.6263 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1814.0 | 12698 | 0.6264 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1815.0 | 12705 | 0.6282 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1816.0 | 12712 | 0.6292 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1817.0 | 12719 | 0.6280 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1818.0 | 12726 | 0.6288 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1819.0 | 12733 | 0.6284 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1820.0 | 12740 | 0.6279 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1821.0 | 12747 | 0.6270 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1822.0 | 12754 | 0.6284 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1823.0 | 12761 | 0.6298 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1824.0 | 12768 | 0.6289 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1825.0 | 12775 | 0.6287 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1826.0 | 12782 | 0.6300 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1827.0 | 12789 | 0.6297 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1828.0 | 12796 | 0.6303 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1829.0 | 12803 | 0.6315 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1830.0 | 12810 | 0.6301 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1831.0 | 12817 | 0.6296 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1832.0 | 12824 | 0.6277 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1833.0 | 12831 | 0.6292 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1834.0 | 12838 | 0.6287 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1835.0 | 12845 | 0.6290 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1836.0 | 12852 | 0.6286 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1837.0 | 12859 | 0.6282 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1838.0 | 12866 | 0.6266 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1839.0 | 12873 | 0.6263 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1840.0 | 12880 | 0.6271 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1841.0 | 12887 | 0.6266 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1842.0 | 12894 | 0.6266 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1843.0 | 12901 | 0.6260 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1844.0 | 12908 | 0.6273 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1845.0 | 12915 | 0.6271 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1846.0 | 12922 | 0.6266 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1847.0 | 12929 | 0.6275 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1848.0 | 12936 | 0.6276 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1849.0 | 12943 | 0.6273 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1850.0 | 12950 | 0.6282 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1851.0 | 12957 | 0.6277 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1852.0 | 12964 | 0.6276 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1853.0 | 12971 | 0.6271 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1854.0 | 12978 | 0.6267 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1855.0 | 12985 | 0.6263 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1856.0 | 12992 | 0.6265 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5783 | 1857.0 | 12999 | 0.6260 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1858.0 | 13006 | 0.6261 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1859.0 | 13013 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1860.0 | 13020 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1861.0 | 13027 | 0.6266 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1862.0 | 13034 | 0.6264 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1863.0 | 13041 | 0.6271 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1864.0 | 13048 | 0.6274 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1865.0 | 13055 | 0.6282 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1866.0 | 13062 | 0.6281 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1867.0 | 13069 | 0.6275 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1868.0 | 13076 | 0.6282 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1869.0 | 13083 | 0.6284 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1870.0 | 13090 | 0.6281 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1871.0 | 13097 | 0.6285 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1872.0 | 13104 | 0.6276 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1873.0 | 13111 | 0.6275 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1874.0 | 13118 | 0.6271 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1875.0 | 13125 | 0.6273 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1876.0 | 13132 | 0.6270 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1877.0 | 13139 | 0.6267 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1878.0 | 13146 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1879.0 | 13153 | 0.6266 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1880.0 | 13160 | 0.6266 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1881.0 | 13167 | 0.6263 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1882.0 | 13174 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1883.0 | 13181 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1884.0 | 13188 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1885.0 | 13195 | 0.6273 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1886.0 | 13202 | 0.6273 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1887.0 | 13209 | 0.6278 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1888.0 | 13216 | 0.6277 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1889.0 | 13223 | 0.6283 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1890.0 | 13230 | 0.6282 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1891.0 | 13237 | 0.6274 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1892.0 | 13244 | 0.6271 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1893.0 | 13251 | 0.6271 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1894.0 | 13258 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1895.0 | 13265 | 0.6263 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1896.0 | 13272 | 0.6265 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1897.0 | 13279 | 0.6267 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1898.0 | 13286 | 0.6266 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1899.0 | 13293 | 0.6274 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1900.0 | 13300 | 0.6270 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1901.0 | 13307 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1902.0 | 13314 | 0.6274 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1903.0 | 13321 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1904.0 | 13328 | 0.6271 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1905.0 | 13335 | 0.6265 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1906.0 | 13342 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1907.0 | 13349 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1908.0 | 13356 | 0.6264 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1909.0 | 13363 | 0.6265 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1910.0 | 13370 | 0.6261 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1911.0 | 13377 | 0.6266 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1912.0 | 13384 | 0.6271 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1913.0 | 13391 | 0.6276 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1914.0 | 13398 | 0.6280 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1915.0 | 13405 | 0.6281 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1916.0 | 13412 | 0.6281 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1917.0 | 13419 | 0.6280 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1918.0 | 13426 | 0.6276 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1919.0 | 13433 | 0.6275 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1920.0 | 13440 | 0.6277 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1921.0 | 13447 | 0.6281 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1922.0 | 13454 | 0.6283 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1923.0 | 13461 | 0.6286 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1924.0 | 13468 | 0.6282 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1925.0 | 13475 | 0.6285 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1926.0 | 13482 | 0.6287 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1927.0 | 13489 | 0.6283 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5763 | 1928.0 | 13496 | 0.6286 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1929.0 | 13503 | 0.6284 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1930.0 | 13510 | 0.6283 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1931.0 | 13517 | 0.6285 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1932.0 | 13524 | 0.6280 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1933.0 | 13531 | 0.6284 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1934.0 | 13538 | 0.6281 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1935.0 | 13545 | 0.6281 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1936.0 | 13552 | 0.6280 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1937.0 | 13559 | 0.6283 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1938.0 | 13566 | 0.6290 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1939.0 | 13573 | 0.6290 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1940.0 | 13580 | 0.6288 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1941.0 | 13587 | 0.6283 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1942.0 | 13594 | 0.6282 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1943.0 | 13601 | 0.6287 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1944.0 | 13608 | 0.6287 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1945.0 | 13615 | 0.6287 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1946.0 | 13622 | 0.6288 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1947.0 | 13629 | 0.6286 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1948.0 | 13636 | 0.6286 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1949.0 | 13643 | 0.6286 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1950.0 | 13650 | 0.6283 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1951.0 | 13657 | 0.6284 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1952.0 | 13664 | 0.6282 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1953.0 | 13671 | 0.6280 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1954.0 | 13678 | 0.6280 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1955.0 | 13685 | 0.6279 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1956.0 | 13692 | 0.6276 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1957.0 | 13699 | 0.6277 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1958.0 | 13706 | 0.6275 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1959.0 | 13713 | 0.6273 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1960.0 | 13720 | 0.6273 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1961.0 | 13727 | 0.6273 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1962.0 | 13734 | 0.6274 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1963.0 | 13741 | 0.6274 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1964.0 | 13748 | 0.6272 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1965.0 | 13755 | 0.6271 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1966.0 | 13762 | 0.6272 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1967.0 | 13769 | 0.6271 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1968.0 | 13776 | 0.6270 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1969.0 | 13783 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1970.0 | 13790 | 0.6270 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1971.0 | 13797 | 0.6271 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1972.0 | 13804 | 0.6270 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1973.0 | 13811 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1974.0 | 13818 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1975.0 | 13825 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1976.0 | 13832 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1977.0 | 13839 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1978.0 | 13846 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1979.0 | 13853 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1980.0 | 13860 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1981.0 | 13867 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1982.0 | 13874 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1983.0 | 13881 | 0.6267 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1984.0 | 13888 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1985.0 | 13895 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1986.0 | 13902 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1987.0 | 13909 | 0.6269 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1988.0 | 13916 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1989.0 | 13923 | 0.6268 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1990.0 | 13930 | 0.6267 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1991.0 | 13937 | 0.6267 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1992.0 | 13944 | 0.6267 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1993.0 | 13951 | 0.6267 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1994.0 | 13958 | 0.6267 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1995.0 | 13965 | 0.6267 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1996.0 | 13972 | 0.6267 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1997.0 | 13979 | 0.6267 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1998.0 | 13986 | 0.6267 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5765 | 1999.0 | 13993 | 0.6267 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| 0.5759 | 2000.0 | 14000 | 0.6267 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
### Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
|