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bert-base-uncased-test_16_214
kwwww/bert-base-uncased-test_16_214
bert-base-uncased-test_16_214 is a machine learning model from kwwww. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Updated Oct 15, 2023
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Oct 15, 2023
- Updated
- Oct 15, 2023
- SHA
- f60efd91
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
bert-base-uncased-test_16_214
This model is a fine-tuned version of bert-base-uncased on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 4.1976
- F1: {'f1': 0.7852222917971196}
- Accuracy: {'accuracy': 0.6711409395973155}
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 | 14 | 0.6256 | {'f1': 0.8174603174603174} | {'accuracy': 0.6912751677852349} |
| No log | 2.0 | 28 | 0.6609 | {'f1': 0.7648612945838837} | {'accuracy': 0.6586768935762224} |
| No log | 3.0 | 42 | 0.6389 | {'f1': 0.8160000000000001} | {'accuracy': 0.6912751677852349} |
| No log | 4.0 | 56 | 0.6437 | {'f1': 0.8156424581005587} | {'accuracy': 0.7152444870565676} |
| No log | 5.0 | 70 | 0.9414 | {'f1': 0.8238012709416522} | {'accuracy': 0.7075743048897412} |
| No log | 6.0 | 84 | 0.7093 | {'f1': 0.7710144927536231} | {'accuracy': 0.6970278044103547} |
| No log | 7.0 | 98 | 0.8908 | {'f1': 0.8266666666666668} | {'accuracy': 0.738255033557047} |
| No log | 8.0 | 112 | 1.5048 | {'f1': 0.8314606741573034} | {'accuracy': 0.7411313518696069} |
| No log | 9.0 | 126 | 1.4047 | {'f1': 0.8164893617021277} | {'accuracy': 0.7353787152444871} |
| No log | 10.0 | 140 | 1.3153 | {'f1': 0.8258956631049654} | {'accuracy': 0.7344199424736337} |
| No log | 11.0 | 154 | 1.9940 | {'f1': 0.8376777251184834} | {'accuracy': 0.7372962607861937} |
| No log | 12.0 | 168 | 1.7543 | {'f1': 0.8381995133819953} | {'accuracy': 0.7449664429530202} |
| No log | 13.0 | 182 | 1.3665 | {'f1': 0.8373493975903615} | {'accuracy': 0.7411313518696069} |
| No log | 14.0 | 196 | 1.4161 | {'f1': 0.8407079646017699} | {'accuracy': 0.7583892617449665} |
| No log | 15.0 | 210 | 1.6762 | {'f1': 0.8419753086419752} | {'accuracy': 0.7545541706615532} |
| No log | 16.0 | 224 | 1.5025 | {'f1': 0.8335467349551857} | {'accuracy': 0.75071907957814} |
| No log | 17.0 | 238 | 1.8215 | {'f1': 0.8324056895485467} | {'accuracy': 0.7401725790987536} |
| No log | 18.0 | 252 | 2.1709 | {'f1': 0.8317535545023695} | {'accuracy': 0.7277085330776606} |
| No log | 19.0 | 266 | 1.6465 | {'f1': 0.7889908256880733} | {'accuracy': 0.713326941514861} |
| No log | 20.0 | 280 | 2.0726 | {'f1': 0.8335329341317366} | {'accuracy': 0.7334611697027804} |
| No log | 21.0 | 294 | 1.7360 | {'f1': 0.8367593712212817} | {'accuracy': 0.7411313518696069} |
| No log | 22.0 | 308 | 1.8625 | {'f1': 0.835838845460012} | {'accuracy': 0.738255033557047} |
| No log | 23.0 | 322 | 1.9270 | {'f1': 0.8316953316953316} | {'accuracy': 0.7372962607861937} |
| No log | 24.0 | 336 | 2.0441 | {'f1': 0.8258391386953768} | {'accuracy': 0.7363374880153404} |
| No log | 25.0 | 350 | 2.5576 | {'f1': 0.832349468713105} | {'accuracy': 0.7277085330776606} |
| No log | 26.0 | 364 | 1.7861 | {'f1': 0.8256765261170548} | {'accuracy': 0.7344199424736337} |
| No log | 27.0 | 378 | 1.9904 | {'f1': 0.8368967623701894} | {'accuracy': 0.7440076701821668} |
| No log | 28.0 | 392 | 2.0872 | {'f1': 0.8350578210590383} | {'accuracy': 0.7401725790987536} |
| No log | 29.0 | 406 | 2.1188 | {'f1': 0.8364972443355787} | {'accuracy': 0.7440076701821668} |
| No log | 30.0 | 420 | 2.0073 | {'f1': 0.8300694883133292} | {'accuracy': 0.7420901246404602} |
| No log | 31.0 | 434 | 2.0161 | {'f1': 0.8262253341820497} | {'accuracy': 0.738255033557047} |
| No log | 32.0 | 448 | 2.5507 | {'f1': 0.8366013071895425} | {'accuracy': 0.7363374880153404} |
| No log | 33.0 | 462 | 2.2677 | {'f1': 0.8296668761785041} | {'accuracy': 0.7401725790987536} |
| No log | 34.0 | 476 | 2.4882 | {'f1': 0.8405797101449276} | {'accuracy': 0.7468839884947267} |
| No log | 35.0 | 490 | 1.9225 | {'f1': 0.8298807281858129} | {'accuracy': 0.7401725790987536} |
| 0.1253 | 36.0 | 504 | 2.4305 | {'f1': 0.8370720188902008} | {'accuracy': 0.7353787152444871} |
| 0.1253 | 37.0 | 518 | 1.9073 | {'f1': 0.7991886409736308} | {'accuracy': 0.7152444870565676} |
| 0.1253 | 38.0 | 532 | 2.5791 | {'f1': 0.8360849056603774} | {'accuracy': 0.7334611697027804} |
| 0.1253 | 39.0 | 546 | 2.4886 | {'f1': 0.8359096313912009} | {'accuracy': 0.7353787152444871} |
| 0.1253 | 40.0 | 560 | 2.1634 | {'f1': 0.8356923076923077} | {'accuracy': 0.7440076701821668} |
| 0.1253 | 41.0 | 574 | 2.0535 | {'f1': 0.8412600370599136} | {'accuracy': 0.7535953978907} |
| 0.1253 | 42.0 | 588 | 2.2921 | {'f1': 0.8374325134973004} | {'accuracy': 0.7401725790987536} |
| 0.1253 | 43.0 | 602 | 1.9332 | {'f1': 0.7579102281089036} | {'accuracy': 0.6845637583892618} |
| 0.1253 | 44.0 | 616 | 2.2699 | {'f1': 0.8439587128111719} | {'accuracy': 0.7535953978907} |
| 0.1253 | 45.0 | 630 | 1.9497 | {'f1': 0.8336293664890467} | {'accuracy': 0.7305848513902206} |
| 0.1253 | 46.0 | 644 | 1.5622 | {'f1': 0.8301647655259823} | {'accuracy': 0.7430488974113135} |
| 0.1253 | 47.0 | 658 | 1.6814 | {'f1': 0.8288973384030417} | {'accuracy': 0.7411313518696069} |
| 0.1253 | 48.0 | 672 | 1.8247 | {'f1': 0.8307307932542161} | {'accuracy': 0.7401725790987536} |
| 0.1253 | 49.0 | 686 | 1.9138 | {'f1': 0.8300940438871472} | {'accuracy': 0.7401725790987536} |
| 0.1253 | 50.0 | 700 | 1.9741 | {'f1': 0.8287153652392948} | {'accuracy': 0.7392138063279002} |
| 0.1253 | 51.0 | 714 | 2.0174 | {'f1': 0.8287153652392948} | {'accuracy': 0.7392138063279002} |
| 0.1253 | 52.0 | 728 | 2.0830 | {'f1': 0.8297872340425533} | {'accuracy': 0.7392138063279002} |
| 0.1253 | 53.0 | 742 | 2.2226 | {'f1': 0.8352725045927741} | {'accuracy': 0.7420901246404602} |
| 0.1253 | 54.0 | 756 | 2.0774 | {'f1': 0.8302122347066168} | {'accuracy': 0.7392138063279002} |
| 0.1253 | 55.0 | 770 | 2.2485 | {'f1': 0.8374622356495468} | {'accuracy': 0.7420901246404602} |
| 0.1253 | 56.0 | 784 | 1.8539 | {'f1': 0.8257817485641353} | {'accuracy': 0.738255033557047} |
| 0.1253 | 57.0 | 798 | 1.9967 | {'f1': 0.835458409228901} | {'accuracy': 0.7401725790987536} |
| 0.1253 | 58.0 | 812 | 1.7908 | {'f1': 0.7898805340829232} | {'accuracy': 0.713326941514861} |
| 0.1253 | 59.0 | 826 | 1.7549 | {'f1': 0.8364972443355787} | {'accuracy': 0.7440076701821668} |
| 0.1253 | 60.0 | 840 | 1.7989 | {'f1': 0.8368098159509203} | {'accuracy': 0.7449664429530202} |
| 0.1253 | 61.0 | 854 | 2.0937 | {'f1': 0.8372372372372373} | {'accuracy': 0.7401725790987536} |
| 0.1253 | 62.0 | 868 | 1.3363 | {'f1': 0.7843416370106763} | {'accuracy': 0.7094918504314478} |
| 0.1253 | 63.0 | 882 | 1.4321 | {'f1': 0.8367989918084436} | {'accuracy': 0.7516778523489933} |
| 0.1253 | 64.0 | 896 | 1.9803 | {'f1': 0.8371257485029939} | {'accuracy': 0.7392138063279002} |
| 0.1253 | 65.0 | 910 | 1.8372 | {'f1': 0.8285714285714286} | {'accuracy': 0.7468839884947267} |
| 0.1253 | 66.0 | 924 | 2.3544 | {'f1': 0.8377896613190731} | {'accuracy': 0.738255033557047} |
| 0.1253 | 67.0 | 938 | 1.9866 | {'f1': 0.8263707571801565} | {'accuracy': 0.7449664429530202} |
| 0.1253 | 68.0 | 952 | 2.7185 | {'f1': 0.830842797369994} | {'accuracy': 0.7286673058485139} |
| 0.1253 | 69.0 | 966 | 2.4310 | {'f1': 0.8306148055207027} | {'accuracy': 0.7411313518696069} |
| 0.1253 | 70.0 | 980 | 2.4977 | {'f1': 0.8305687203791469} | {'accuracy': 0.725790987535954} |
| 0.1253 | 71.0 | 994 | 1.0387 | {'f1': 0.8284789644012944} | {'accuracy': 0.7459252157238735} |
| 0.0198 | 72.0 | 1008 | 1.8469 | {'f1': 0.8327402135231317} | {'accuracy': 0.7296260786193672} |
| 0.0198 | 73.0 | 1022 | 1.6845 | {'f1': 0.8192612137203166} | {'accuracy': 0.7372962607861937} |
| 0.0198 | 74.0 | 1036 | 1.6471 | {'f1': 0.8296943231441049} | {'accuracy': 0.738255033557047} |
| 0.0198 | 75.0 | 1050 | 1.5214 | {'f1': 0.8132450331125828} | {'accuracy': 0.7296260786193672} |
| 0.0198 | 76.0 | 1064 | 1.7829 | {'f1': 0.8236760124610593} | {'accuracy': 0.7286673058485139} |
| 0.0198 | 77.0 | 1078 | 2.2771 | {'f1': 0.8293838862559241} | {'accuracy': 0.7238734419942474} |
| 0.0198 | 78.0 | 1092 | 1.5519 | {'f1': 0.8101788170563962} | {'accuracy': 0.7353787152444871} |
| 0.0198 | 79.0 | 1106 | 1.5540 | {'f1': 0.8368200836820083} | {'accuracy': 0.738255033557047} |
| 0.0198 | 80.0 | 1120 | 1.5794 | {'f1': 0.8259473346178547} | {'accuracy': 0.7401725790987536} |
| 0.0198 | 81.0 | 1134 | 1.8846 | {'f1': 0.8293284041897719} | {'accuracy': 0.7344199424736337} |
| 0.0198 | 82.0 | 1148 | 1.7147 | {'f1': 0.806947227788911} | {'accuracy': 0.7229146692233941} |
| 0.0198 | 83.0 | 1162 | 1.9138 | {'f1': 0.8322309079975947} | {'accuracy': 0.7325023969319271} |
| 0.0198 | 84.0 | 1176 | 1.8756 | {'f1': 0.8353510895883779} | {'accuracy': 0.7392138063279002} |
| 0.0198 | 85.0 | 1190 | 1.8631 | {'f1': 0.8307692307692307} | {'accuracy': 0.7363374880153404} |
| 0.0198 | 86.0 | 1204 | 1.8303 | {'f1': 0.822429906542056} | {'accuracy': 0.7267497603068073} |
| 0.0198 | 87.0 | 1218 | 2.0313 | {'f1': 0.8185185185185186} | {'accuracy': 0.7181208053691275} |
| 0.0198 | 88.0 | 1232 | 2.5411 | {'f1': 0.8382180539273153} | {'accuracy': 0.7353787152444871} |
| 0.0198 | 89.0 | 1246 | 2.1045 | {'f1': 0.7961826857532379} | {'accuracy': 0.713326941514861} |
| 0.0198 | 90.0 | 1260 | 2.5877 | {'f1': 0.8313397129186604} | {'accuracy': 0.7296260786193672} |
| 0.0198 | 91.0 | 1274 | 2.6338 | {'f1': 0.8334335538184005} | {'accuracy': 0.7344199424736337} |
| 0.0198 | 92.0 | 1288 | 2.3250 | {'f1': 0.8208092485549132} | {'accuracy': 0.7325023969319271} |
| 0.0198 | 93.0 | 1302 | 2.1145 | {'f1': 0.8264150943396226} | {'accuracy': 0.7353787152444871} |
| 0.0198 | 94.0 | 1316 | 2.4299 | {'f1': 0.8325301204819276} | {'accuracy': 0.7334611697027804} |
| 0.0198 | 95.0 | 1330 | 2.4146 | {'f1': 0.8258706467661692} | {'accuracy': 0.7315436241610739} |
| 0.0198 | 96.0 | 1344 | 2.9848 | {'f1': 0.8305183459522424} | {'accuracy': 0.7209971236816874} |
| 0.0198 | 97.0 | 1358 | 2.4440 | {'f1': 0.8053156146179401} | {'accuracy': 0.7190795781399808} |
| 0.0198 | 98.0 | 1372 | 2.8039 | {'f1': 0.8364928909952606} | {'accuracy': 0.7353787152444871} |
| 0.0198 | 99.0 | 1386 | 2.5005 | {'f1': 0.8316109422492403} | {'accuracy': 0.7344199424736337} |
| 0.0198 | 100.0 | 1400 | 1.9877 | {'f1': 0.8150991682661549} | {'accuracy': 0.7229146692233941} |
| 0.0198 | 101.0 | 1414 | 1.8385 | {'f1': 0.8207119741100324} | {'accuracy': 0.7344199424736337} |
| 0.0198 | 102.0 | 1428 | 1.9646 | {'f1': 0.8270580727504787} | {'accuracy': 0.7401725790987536} |
| 0.0198 | 103.0 | 1442 | 2.0479 | {'f1': 0.813847158719791} | {'accuracy': 0.7267497603068073} |
| 0.0198 | 104.0 | 1456 | 2.0466 | {'f1': 0.842925659472422} | {'accuracy': 0.7488015340364333} |
| 0.0198 | 105.0 | 1470 | 1.4048 | {'f1': 0.825249169435216} | {'accuracy': 0.74784276126558} |
| 0.0198 | 106.0 | 1484 | 1.5167 | {'f1': 0.8099861303744799} | {'accuracy': 0.7372962607861937} |
| 0.0198 | 107.0 | 1498 | 2.5238 | {'f1': 0.8303886925795053} | {'accuracy': 0.7238734419942474} |
| 0.0184 | 108.0 | 1512 | 2.5067 | {'f1': 0.7249802994483845} | {'accuracy': 0.6653883029721956} |
| 0.0184 | 109.0 | 1526 | 2.4375 | {'f1': 0.8219346888478127} | {'accuracy': 0.7229146692233941} |
| 0.0184 | 110.0 | 1540 | 2.2507 | {'f1': 0.7757660167130919} | {'accuracy': 0.6912751677852349} |
| 0.0184 | 111.0 | 1554 | 2.5541 | {'f1': 0.8283808368708309} | {'accuracy': 0.7286673058485139} |
| 0.0184 | 112.0 | 1568 | 2.5094 | {'f1': 0.8178343949044586} | {'accuracy': 0.725790987535954} |
| 0.0184 | 113.0 | 1582 | 2.9570 | {'f1': 0.832841110454814} | {'accuracy': 0.7286673058485139} |
| 0.0184 | 114.0 | 1596 | 2.6984 | {'f1': 0.8015768725361367} | {'accuracy': 0.710450623202301} |
| 0.0184 | 115.0 | 1610 | 3.0147 | {'f1': 0.8285547103569338} | {'accuracy': 0.7190795781399808} |
| 0.0184 | 116.0 | 1624 | 1.8179 | {'f1': 0.838749233599019} | {'accuracy': 0.74784276126558} |
| 0.0184 | 117.0 | 1638 | 1.7351 | {'f1': 0.83270911360799} | {'accuracy': 0.7430488974113135} |
| 0.0184 | 118.0 | 1652 | 2.2947 | {'f1': 0.8324324324324324} | {'accuracy': 0.7325023969319271} |
| 0.0184 | 119.0 | 1666 | 2.0843 | {'f1': 0.8364972443355787} | {'accuracy': 0.7440076701821668} |
| 0.0184 | 120.0 | 1680 | 2.1599 | {'f1': 0.828828828828829} | {'accuracy': 0.7267497603068073} |
| 0.0184 | 121.0 | 1694 | 2.1308 | {'f1': 0.8296943231441049} | {'accuracy': 0.738255033557047} |
| 0.0184 | 122.0 | 1708 | 2.3121 | {'f1': 0.8340477648499695} | {'accuracy': 0.7401725790987536} |
| 0.0184 | 123.0 | 1722 | 2.0896 | {'f1': 0.8280961182994454} | {'accuracy': 0.7325023969319271} |
| 0.0184 | 124.0 | 1736 | 1.8344 | {'f1': 0.7572254335260116} | {'accuracy': 0.6778523489932886} |
| 0.0184 | 125.0 | 1750 | 2.2451 | {'f1': 0.8271752085816448} | {'accuracy': 0.7219558964525408} |
| 0.0184 | 126.0 | 1764 | 2.0323 | {'f1': 0.8204488778054864} | {'accuracy': 0.7238734419942474} |
| 0.0184 | 127.0 | 1778 | 2.0922 | {'f1': 0.8189274447949527} | {'accuracy': 0.7248322147651006} |
| 0.0184 | 128.0 | 1792 | 2.1871 | {'f1': 0.8184110970996217} | {'accuracy': 0.7238734419942474} |
| 0.0184 | 129.0 | 1806 | 2.2503 | {'f1': 0.8190954773869347} | {'accuracy': 0.7238734419942474} |
| 0.0184 | 130.0 | 1820 | 2.3041 | {'f1': 0.8197747183979974} | {'accuracy': 0.7238734419942474} |
| 0.0184 | 131.0 | 1834 | 2.3421 | {'f1': 0.8205128205128204} | {'accuracy': 0.7248322147651006} |
| 0.0184 | 132.0 | 1848 | 2.3944 | {'f1': 0.8219862585883824} | {'accuracy': 0.7267497603068073} |
| 0.0184 | 133.0 | 1862 | 2.7387 | {'f1': 0.8284866468842729} | {'accuracy': 0.7229146692233941} |
| 0.0184 | 134.0 | 1876 | 2.1785 | {'f1': 0.819814241486068} | {'accuracy': 0.7209971236816874} |
| 0.0184 | 135.0 | 1890 | 2.2825 | {'f1': 0.8248175182481752} | {'accuracy': 0.7238734419942474} |
| 0.0184 | 136.0 | 1904 | 2.4291 | {'f1': 0.8197923029932803} | {'accuracy': 0.7171620325982742} |
| 0.0184 | 137.0 | 1918 | 2.0556 | {'f1': 0.7898351648351649} | {'accuracy': 0.7066155321188878} |
| 0.0184 | 138.0 | 1932 | 2.2096 | {'f1': 0.8013333333333333} | {'accuracy': 0.7142857142857143} |
| 0.0184 | 139.0 | 1946 | 2.2809 | {'f1': 0.806578947368421} | {'accuracy': 0.7181208053691275} |
| 0.0184 | 140.0 | 1960 | 2.4477 | {'f1': 0.8181253879577901} | {'accuracy': 0.7190795781399808} |
| 0.0184 | 141.0 | 1974 | 2.6566 | {'f1': 0.8214070956103428} | {'accuracy': 0.7152444870565676} |
| 0.0184 | 142.0 | 1988 | 2.0007 | {'f1': 0.7727598566308245} | {'accuracy': 0.6960690316395014} |
| 0.0145 | 143.0 | 2002 | 1.9685 | {'f1': 0.8298507462686567} | {'accuracy': 0.7267497603068073} |
| 0.0145 | 144.0 | 2016 | 1.8895 | {'f1': 0.8132147395171537} | {'accuracy': 0.7181208053691275} |
| 0.0145 | 145.0 | 2030 | 2.0399 | {'f1': 0.8075178224238496} | {'accuracy': 0.7152444870565676} |
| 0.0145 | 146.0 | 2044 | 2.4218 | {'f1': 0.8258766626360338} | {'accuracy': 0.7238734419942474} |
| 0.0145 | 147.0 | 2058 | 2.4451 | {'f1': 0.8150470219435738} | {'accuracy': 0.7171620325982742} |
| 0.0145 | 148.0 | 2072 | 2.4632 | {'f1': 0.8098318240620956} | {'accuracy': 0.7181208053691275} |
| 0.0145 | 149.0 | 2086 | 2.4870 | {'f1': 0.8091205211726384} | {'accuracy': 0.7190795781399808} |
| 0.0145 | 150.0 | 2100 | 2.5063 | {'f1': 0.8080939947780679} | {'accuracy': 0.7181208053691275} |
| 0.0145 | 151.0 | 2114 | 2.5412 | {'f1': 0.8126614987080103} | {'accuracy': 0.7219558964525408} |
| 0.0145 | 152.0 | 2128 | 3.0723 | {'f1': 0.8242142025611175} | {'accuracy': 0.710450623202301} |
| 0.0145 | 153.0 | 2142 | 2.2632 | {'f1': 0.7977606717984603} | {'accuracy': 0.7229146692233941} |
| 0.0145 | 154.0 | 2156 | 2.8640 | {'f1': 0.8235988200589972} | {'accuracy': 0.713326941514861} |
| 0.0145 | 155.0 | 2170 | 2.4601 | {'f1': 0.8146214099216709} | {'accuracy': 0.7277085330776606} |
| 0.0145 | 156.0 | 2184 | 3.0811 | {'f1': 0.8241500586166471} | {'accuracy': 0.7123681687440077} |
| 0.0145 | 157.0 | 2198 | 2.5084 | {'f1': 0.8036410923276983} | {'accuracy': 0.710450623202301} |
| 0.0145 | 158.0 | 2212 | 2.7759 | {'f1': 0.8209042865531415} | {'accuracy': 0.7075743048897412} |
| 0.0145 | 159.0 | 2226 | 2.3592 | {'f1': 0.81625} | {'accuracy': 0.7181208053691275} |
| 0.0145 | 160.0 | 2240 | 2.5965 | {'f1': 0.8194103194103194} | {'accuracy': 0.7181208053691275} |
| 0.0145 | 161.0 | 2254 | 3.0944 | {'f1': 0.8215330602691633} | {'accuracy': 0.7075743048897412} |
| 0.0145 | 162.0 | 2268 | 3.0794 | {'f1': 0.8204826368452031} | {'accuracy': 0.7075743048897412} |
| 0.0145 | 163.0 | 2282 | 3.0692 | {'f1': 0.820816085156712} | {'accuracy': 0.7094918504314478} |
| 0.0145 | 164.0 | 2296 | 3.0611 | {'f1': 0.8213649851632047} | {'accuracy': 0.7114093959731543} |
| 0.0145 | 165.0 | 2310 | 3.0655 | {'f1': 0.8211527035056446} | {'accuracy': 0.7114093959731543} |
| 0.0145 | 166.0 | 2324 | 3.0710 | {'f1': 0.8216409036860881} | {'accuracy': 0.7123681687440077} |
| 0.0145 | 167.0 | 2338 | 3.0783 | {'f1': 0.8226190476190477} | {'accuracy': 0.7142857142857143} |
| 0.0145 | 168.0 | 2352 | 3.0869 | {'f1': 0.8231089934484812} | {'accuracy': 0.7152444870565676} |
| 0.0145 | 169.0 | 2366 | 3.0948 | {'f1': 0.8231089934484812} | {'accuracy': 0.7152444870565676} |
| 0.0145 | 170.0 | 2380 | 3.1026 | {'f1': 0.8231089934484812} | {'accuracy': 0.7152444870565676} |
| 0.0145 | 171.0 | 2394 | 3.1110 | {'f1': 0.8231089934484812} | {'accuracy': 0.7152444870565676} |
| 0.0145 | 172.0 | 2408 | 3.1190 | {'f1': 0.8231089934484812} | {'accuracy': 0.7152444870565676} |
| 0.0145 | 173.0 | 2422 | 3.1250 | {'f1': 0.8240906380441265} | {'accuracy': 0.7171620325982742} |
| 0.0145 | 174.0 | 2436 | 2.6931 | {'f1': 0.8081204977079239} | {'accuracy': 0.7190795781399808} |
| 0.0145 | 175.0 | 2450 | 2.8011 | {'f1': 0.8197130380536494} | {'accuracy': 0.7229146692233941} |
| 0.0145 | 176.0 | 2464 | 3.6080 | {'f1': 0.8245412844036698} | {'accuracy': 0.7066155321188878} |
| 0.0145 | 177.0 | 2478 | 2.2489 | {'f1': 0.730566037735849} | {'accuracy': 0.6577181208053692} |
| 0.0145 | 178.0 | 2492 | 1.8627 | {'f1': 0.8296735905044509} | {'accuracy': 0.7248322147651006} |
| 0.0066 | 179.0 | 2506 | 1.7572 | {'f1': 0.8069011280690114} | {'accuracy': 0.7209971236816874} |
| 0.0066 | 180.0 | 2520 | 2.1548 | {'f1': 0.8156209987195903} | {'accuracy': 0.7238734419942474} |
| 0.0066 | 181.0 | 2534 | 3.0393 | {'f1': 0.8234604105571848} | {'accuracy': 0.7114093959731543} |
| 0.0066 | 182.0 | 2548 | 2.4217 | {'f1': 0.8092189500640207} | {'accuracy': 0.7142857142857143} |
| 0.0066 | 183.0 | 2562 | 2.4490 | {'f1': 0.777158774373259} | {'accuracy': 0.6931927133269415} |
| 0.0066 | 184.0 | 2576 | 1.4908 | {'f1': 0.8206419131529263} | {'accuracy': 0.7267497603068073} |
| 0.0066 | 185.0 | 2590 | 1.6363 | {'f1': 0.831837223219629} | {'accuracy': 0.7305848513902206} |
| 0.0066 | 186.0 | 2604 | 2.1680 | {'f1': 0.8095238095238094} | {'accuracy': 0.7238734419942474} |
| 0.0066 | 187.0 | 2618 | 2.5006 | {'f1': 0.827930174563591} | {'accuracy': 0.7353787152444871} |
| 0.0066 | 188.0 | 2632 | 2.5279 | {'f1': 0.8130293159609121} | {'accuracy': 0.7248322147651006} |
| 0.0066 | 189.0 | 2646 | 3.2503 | {'f1': 0.8218390804597702} | {'accuracy': 0.7027804410354745} |
| 0.0066 | 190.0 | 2660 | 2.2915 | {'f1': 0.8096192384769539} | {'accuracy': 0.7267497603068073} |
| 0.0066 | 191.0 | 2674 | 3.1523 | {'f1': 0.8315539739027283} | {'accuracy': 0.7277085330776606} |
| 0.0066 | 192.0 | 2688 | 3.1112 | {'f1': 0.8225806451612904} | {'accuracy': 0.725790987535954} |
| 0.0066 | 193.0 | 2702 | 3.0779 | {'f1': 0.8071979434447301} | {'accuracy': 0.7123681687440077} |
| 0.0066 | 194.0 | 2716 | 2.6931 | {'f1': 0.8165605095541402} | {'accuracy': 0.7238734419942474} |
| 0.0066 | 195.0 | 2730 | 2.5412 | {'f1': 0.8221680876979295} | {'accuracy': 0.7200383509108341} |
| 0.0066 | 196.0 | 2744 | 2.6084 | {'f1': 0.8251497005988024} | {'accuracy': 0.7200383509108341} |
| 0.0066 | 197.0 | 2758 | 2.6282 | {'f1': 0.8237410071942447} | {'accuracy': 0.7181208053691275} |
| 0.0066 | 198.0 | 2772 | 2.6586 | {'f1': 0.8247298919567826} | {'accuracy': 0.7200383509108341} |
| 0.0066 | 199.0 | 2786 | 2.6898 | {'f1': 0.8238123872519543} | {'accuracy': 0.7190795781399808} |
| 0.0066 | 200.0 | 2800 | 2.4343 | {'f1': 0.8094940662086196} | {'accuracy': 0.7075743048897412} |
| 0.0066 | 201.0 | 2814 | 1.5340 | {'f1': 0.7981711299804048} | {'accuracy': 0.7037392138063279} |
| 0.0066 | 202.0 | 2828 | 2.2824 | {'f1': 0.8236729713239781} | {'accuracy': 0.7229146692233941} |
| 0.0066 | 203.0 | 2842 | 1.9816 | {'f1': 0.825030376670717} | {'accuracy': 0.7238734419942474} |
| 0.0066 | 204.0 | 2856 | 1.8646 | {'f1': 0.7600574712643678} | {'accuracy': 0.6797698945349953} |
| 0.0066 | 205.0 | 2870 | 1.9802 | {'f1': 0.8332329921733895} | {'accuracy': 0.7344199424736337} |
| 0.0066 | 206.0 | 2884 | 2.3228 | {'f1': 0.8251066422912859} | {'accuracy': 0.7248322147651006} |
| 0.0066 | 207.0 | 2898 | 2.4796 | {'f1': 0.8198529411764706} | {'accuracy': 0.7181208053691275} |
| 0.0066 | 208.0 | 2912 | 2.4117 | {'f1': 0.8005336891260839} | {'accuracy': 0.713326941514861} |
| 0.0066 | 209.0 | 2926 | 2.7989 | {'f1': 0.8272997032640949} | {'accuracy': 0.7209971236816874} |
| 0.0066 | 210.0 | 2940 | 2.4206 | {'f1': 0.8181253879577901} | {'accuracy': 0.7190795781399808} |
| 0.0066 | 211.0 | 2954 | 2.3878 | {'f1': 0.8254716981132074} | {'accuracy': 0.716203259827421} |
| 0.0066 | 212.0 | 2968 | 2.4611 | {'f1': 0.8270588235294117} | {'accuracy': 0.7181208053691275} |
| 0.0066 | 213.0 | 2982 | 2.5275 | {'f1': 0.8292971057294742} | {'accuracy': 0.7229146692233941} |
| 0.0066 | 214.0 | 2996 | 2.5971 | {'f1': 0.8286899822169531} | {'accuracy': 0.7229146692233941} |
| 0.0215 | 215.0 | 3010 | 2.6337 | {'f1': 0.8147692307692308} | {'accuracy': 0.7114093959731543} |
| 0.0215 | 216.0 | 3024 | 2.6106 | {'f1': 0.8041104688503531} | {'accuracy': 0.7075743048897412} |
| 0.0215 | 217.0 | 3038 | 2.6324 | {'f1': 0.8263971462544589} | {'accuracy': 0.7200383509108341} |
| 0.0215 | 218.0 | 3052 | 2.3884 | {'f1': 0.8196125907990315} | {'accuracy': 0.7142857142857143} |
| 0.0215 | 219.0 | 3066 | 2.2168 | {'f1': 0.8093385214007782} | {'accuracy': 0.7181208053691275} |
| 0.0215 | 220.0 | 3080 | 2.3495 | {'f1': 0.827338129496403} | {'accuracy': 0.7238734419942474} |
| 0.0215 | 221.0 | 3094 | 2.1672 | {'f1': 0.8189073050951503} | {'accuracy': 0.7171620325982742} |
| 0.0215 | 222.0 | 3108 | 2.3786 | {'f1': 0.8133086876155268} | {'accuracy': 0.7094918504314478} |
| 0.0215 | 223.0 | 3122 | 2.5426 | {'f1': 0.8140394088669951} | {'accuracy': 0.710450623202301} |
| 0.0215 | 224.0 | 3136 | 2.6287 | {'f1': 0.8130381303813039} | {'accuracy': 0.7085330776605945} |
| 0.0215 | 225.0 | 3150 | 2.6694 | {'f1': 0.8130381303813039} | {'accuracy': 0.7085330776605945} |
| 0.0215 | 226.0 | 3164 | 2.6974 | {'f1': 0.8130381303813039} | {'accuracy': 0.7085330776605945} |
| 0.0215 | 227.0 | 3178 | 2.7342 | {'f1': 0.8130381303813039} | {'accuracy': 0.7085330776605945} |
| 0.0215 | 228.0 | 3192 | 3.0648 | {'f1': 0.8159618820726622} | {'accuracy': 0.7037392138063279} |
| 0.0215 | 229.0 | 3206 | 3.1276 | {'f1': 0.8180201541197392} | {'accuracy': 0.7056567593480345} |
| 0.0215 | 230.0 | 3220 | 2.9768 | {'f1': 0.8131466828971394} | {'accuracy': 0.7056567593480345} |
| 0.0215 | 231.0 | 3234 | 2.7379 | {'f1': 0.8094027954256671} | {'accuracy': 0.7123681687440077} |
| 0.0215 | 232.0 | 3248 | 3.1940 | {'f1': 0.8170365926814637} | {'accuracy': 0.7075743048897412} |
| 0.0215 | 233.0 | 3262 | 2.8962 | {'f1': 0.8170055452865066} | {'accuracy': 0.7152444870565676} |
| 0.0215 | 234.0 | 3276 | 2.6762 | {'f1': 0.8204819277108434} | {'accuracy': 0.7142857142857143} |
| 0.0215 | 235.0 | 3290 | 2.6070 | {'f1': 0.8158220024721878} | {'accuracy': 0.7142857142857143} |
| 0.0215 | 236.0 | 3304 | 2.6623 | {'f1': 0.8195302843016069} | {'accuracy': 0.7200383509108341} |
| 0.0215 | 237.0 | 3318 | 2.8680 | {'f1': 0.8239436619718311} | {'accuracy': 0.7123681687440077} |
| 0.0215 | 238.0 | 3332 | 2.3795 | {'f1': 0.7812718378756114} | {'accuracy': 0.6999041227229147} |
| 0.0215 | 239.0 | 3346 | 2.6336 | {'f1': 0.8249118683901293} | {'accuracy': 0.7142857142857143} |
| 0.0215 | 240.0 | 3360 | 1.7297 | {'f1': 0.8105670103092784} | {'accuracy': 0.7181208053691275} |
| 0.0215 | 241.0 | 3374 | 1.6360 | {'f1': 0.8063091482649842} | {'accuracy': 0.7056567593480345} |
| 0.0215 | 242.0 | 3388 | 2.1135 | {'f1': 0.8049999999999999} | {'accuracy': 0.700862895493768} |
| 0.0215 | 243.0 | 3402 | 2.4472 | {'f1': 0.8069522036002483} | {'accuracy': 0.7018216682646213} |
| 0.0215 | 244.0 | 3416 | 2.5746 | {'f1': 0.80545229244114} | {'accuracy': 0.6989453499520614} |
| 0.0215 | 245.0 | 3430 | 2.6635 | {'f1': 0.8051787916152899} | {'accuracy': 0.6970278044103547} |
| 0.0215 | 246.0 | 3444 | 2.5958 | {'f1': 0.786774628879892} | {'accuracy': 0.6970278044103547} |
| 0.0215 | 247.0 | 3458 | 3.3601 | {'f1': 0.819672131147541} | {'accuracy': 0.7046979865771812} |
| 0.0215 | 248.0 | 3472 | 2.5192 | {'f1': 0.8017789072426939} | {'accuracy': 0.700862895493768} |
| 0.0215 | 249.0 | 3486 | 2.3065 | {'f1': 0.7994858611825192} | {'accuracy': 0.700862895493768} |
| 0.0156 | 250.0 | 3500 | 1.8895 | {'f1': 0.814993954050786} | {'accuracy': 0.7066155321188878} |
| 0.0156 | 251.0 | 3514 | 1.9615 | {'f1': 0.8226281673541544} | {'accuracy': 0.7114093959731543} |
| 0.0156 | 252.0 | 3528 | 2.3730 | {'f1': 0.7744154057771663} | {'accuracy': 0.6855225311601151} |
| 0.0156 | 253.0 | 3542 | 2.7062 | {'f1': 0.8225317989097517} | {'accuracy': 0.7190795781399808} |
| 0.0156 | 254.0 | 3556 | 3.0881 | {'f1': 0.8210526315789474} | {'accuracy': 0.7066155321188878} |
| 0.0156 | 255.0 | 3570 | 2.5734 | {'f1': 0.818734793187348} | {'accuracy': 0.7142857142857143} |
| 0.0156 | 256.0 | 3584 | 2.3367 | {'f1': 0.7958251793868232} | {'accuracy': 0.6999041227229147} |
| 0.0156 | 257.0 | 3598 | 2.2311 | {'f1': 0.8185654008438819} | {'accuracy': 0.7114093959731543} |
| 0.0156 | 258.0 | 3612 | 2.1090 | {'f1': 0.8113564668769717} | {'accuracy': 0.713326941514861} |
| 0.0156 | 259.0 | 3626 | 2.1745 | {'f1': 0.7956698240866035} | {'accuracy': 0.710450623202301} |
| 0.0156 | 260.0 | 3640 | 2.3094 | {'f1': 0.7959866220735786} | {'accuracy': 0.7075743048897412} |
| 0.0156 | 261.0 | 3654 | 2.5351 | {'f1': 0.8216957605985038} | {'accuracy': 0.725790987535954} |
| 0.0156 | 262.0 | 3668 | 2.6176 | {'f1': 0.8275015346838551} | {'accuracy': 0.7305848513902206} |
| 0.0156 | 263.0 | 3682 | 2.6613 | {'f1': 0.8315018315018315} | {'accuracy': 0.7353787152444871} |
| 0.0156 | 264.0 | 3696 | 2.6900 | {'f1': 0.8315018315018315} | {'accuracy': 0.7353787152444871} |
| 0.0156 | 265.0 | 3710 | 2.7127 | {'f1': 0.8315018315018315} | {'accuracy': 0.7353787152444871} |
| 0.0156 | 266.0 | 3724 | 2.7325 | {'f1': 0.8315018315018315} | {'accuracy': 0.7353787152444871} |
| 0.0156 | 267.0 | 3738 | 2.7510 | {'f1': 0.8315018315018315} | {'accuracy': 0.7353787152444871} |
| 0.0156 | 268.0 | 3752 | 2.7678 | {'f1': 0.8315018315018315} | {'accuracy': 0.7353787152444871} |
| 0.0156 | 269.0 | 3766 | 2.7837 | {'f1': 0.8315018315018315} | {'accuracy': 0.7353787152444871} |
| 0.0156 | 270.0 | 3780 | 2.7988 | {'f1': 0.8315018315018315} | {'accuracy': 0.7353787152444871} |
| 0.0156 | 271.0 | 3794 | 2.8135 | {'f1': 0.8312958435207825} | {'accuracy': 0.7353787152444871} |
| 0.0156 | 272.0 | 3808 | 2.8269 | {'f1': 0.8312958435207825} | {'accuracy': 0.7353787152444871} |
| 0.0156 | 273.0 | 3822 | 2.8401 | {'f1': 0.8305810397553518} | {'accuracy': 0.7344199424736337} |
| 0.0156 | 274.0 | 3836 | 2.8523 | {'f1': 0.8298653610771114} | {'accuracy': 0.7334611697027804} |
| 0.0156 | 275.0 | 3850 | 2.8649 | {'f1': 0.8298653610771114} | {'accuracy': 0.7334611697027804} |
| 0.0156 | 276.0 | 3864 | 2.8766 | {'f1': 0.8298653610771114} | {'accuracy': 0.7334611697027804} |
| 0.0156 | 277.0 | 3878 | 2.8881 | {'f1': 0.8298653610771114} | {'accuracy': 0.7334611697027804} |
| 0.0156 | 278.0 | 3892 | 2.8998 | {'f1': 0.8298653610771114} | {'accuracy': 0.7334611697027804} |
| 0.0156 | 279.0 | 3906 | 2.8049 | {'f1': 0.8062418725617686} | {'accuracy': 0.7142857142857143} |
| 0.0156 | 280.0 | 3920 | 2.8448 | {'f1': 0.8265245707519242} | {'accuracy': 0.7190795781399808} |
| 0.0156 | 281.0 | 3934 | 2.4618 | {'f1': 0.818867924528302} | {'accuracy': 0.7238734419942474} |
| 0.0156 | 282.0 | 3948 | 3.2578 | {'f1': 0.8213457076566125} | {'accuracy': 0.7046979865771812} |
| 0.0156 | 283.0 | 3962 | 2.8115 | {'f1': 0.7853881278538813} | {'accuracy': 0.6845637583892618} |
| 0.0156 | 284.0 | 3976 | 2.1868 | {'f1': 0.8208588957055215} | {'accuracy': 0.7200383509108341} |
| 0.0156 | 285.0 | 3990 | 1.9052 | {'f1': 0.8241626794258373} | {'accuracy': 0.7181208053691275} |
| 0.0069 | 286.0 | 4004 | 2.1344 | {'f1': 0.8267954133977066} | {'accuracy': 0.7248322147651006} |
| 0.0069 | 287.0 | 4018 | 2.5034 | {'f1': 0.8177991581479255} | {'accuracy': 0.7094918504314478} |
| 0.0069 | 288.0 | 4032 | 2.5675 | {'f1': 0.8115763546798029} | {'accuracy': 0.7066155321188878} |
| 0.0069 | 289.0 | 4046 | 2.4979 | {'f1': 0.8148606811145511} | {'accuracy': 0.713326941514861} |
| 0.0069 | 290.0 | 4060 | 2.4903 | {'f1': 0.8086458995549906} | {'accuracy': 0.7114093959731543} |
| 0.0069 | 291.0 | 4074 | 2.9430 | {'f1': 0.8230500582072177} | {'accuracy': 0.7085330776605945} |
| 0.0069 | 292.0 | 4088 | 2.3191 | {'f1': 0.8103994927076728} | {'accuracy': 0.713326941514861} |
| 0.0069 | 293.0 | 4102 | 2.4729 | {'f1': 0.8103666245259167} | {'accuracy': 0.7123681687440077} |
| 0.0069 | 294.0 | 4116 | 2.9697 | {'f1': 0.8186157517899763} | {'accuracy': 0.7085330776605945} |
| 0.0069 | 295.0 | 4130 | 3.0092 | {'f1': 0.8201438848920862} | {'accuracy': 0.7123681687440077} |
| 0.0069 | 296.0 | 4144 | 3.0325 | {'f1': 0.8194361127774445} | {'accuracy': 0.7114093959731543} |
| 0.0069 | 297.0 | 4158 | 2.8717 | {'f1': 0.8159509202453988} | {'accuracy': 0.7123681687440077} |
| 0.0069 | 298.0 | 4172 | 2.8338 | {'f1': 0.8102372034956304} | {'accuracy': 0.7085330776605945} |
| 0.0069 | 299.0 | 4186 | 2.8827 | {'f1': 0.8123839009287926} | {'accuracy': 0.7094918504314478} |
| 0.0069 | 300.0 | 4200 | 2.2958 | {'f1': 0.8167985392574558} | {'accuracy': 0.7114093959731543} |
| 0.0069 | 301.0 | 4214 | 1.9853 | {'f1': 0.8026402640264025} | {'accuracy': 0.713326941514861} |
| 0.0069 | 302.0 | 4228 | 2.3588 | {'f1': 0.820259419394688} | {'accuracy': 0.7209971236816874} |
| 0.0069 | 303.0 | 4242 | 2.5182 | {'f1': 0.8197530864197531} | {'accuracy': 0.7200383509108341} |
| 0.0069 | 304.0 | 4256 | 2.5860 | {'f1': 0.8171109733415997} | {'accuracy': 0.7171620325982742} |
| 0.0069 | 305.0 | 4270 | 2.6313 | {'f1': 0.8163771712158809} | {'accuracy': 0.716203259827421} |
| 0.0069 | 306.0 | 4284 | 2.6655 | {'f1': 0.8171109733415997} | {'accuracy': 0.7171620325982742} |
| 0.0069 | 307.0 | 4298 | 2.6953 | {'f1': 0.8171109733415997} | {'accuracy': 0.7171620325982742} |
| 0.0069 | 308.0 | 4312 | 2.7263 | {'f1': 0.8178438661710038} | {'accuracy': 0.7181208053691275} |
| 0.0069 | 309.0 | 4326 | 2.7539 | {'f1': 0.8185758513931888} | {'accuracy': 0.7190795781399808} |
| 0.0069 | 310.0 | 4340 | 2.7932 | {'f1': 0.7803547066848566} | {'accuracy': 0.6912751677852349} |
| 0.0069 | 311.0 | 4354 | 2.4630 | {'f1': 0.8075060532687652} | {'accuracy': 0.6951102588686481} |
| 0.0069 | 312.0 | 4368 | 2.4218 | {'f1': 0.8022249690976515} | {'accuracy': 0.6931927133269415} |
| 0.0069 | 313.0 | 4382 | 2.4912 | {'f1': 0.8051470588235294} | {'accuracy': 0.6951102588686481} |
| 0.0069 | 314.0 | 4396 | 2.6445 | {'f1': 0.8147254073627037} | {'accuracy': 0.7056567593480345} |
| 0.0069 | 315.0 | 4410 | 2.6581 | {'f1': 0.8007518796992481} | {'accuracy': 0.6951102588686481} |
| 0.0069 | 316.0 | 4424 | 2.7682 | {'f1': 0.7999999999999999} | {'accuracy': 0.6951102588686481} |
| 0.0069 | 317.0 | 4438 | 2.8900 | {'f1': 0.819477434679335} | {'accuracy': 0.7085330776605945} |
| 0.0069 | 318.0 | 4452 | 2.8063 | {'f1': 0.7974842767295598} | {'accuracy': 0.6912751677852349} |
| 0.0069 | 319.0 | 4466 | 2.8261 | {'f1': 0.7948881789137379} | {'accuracy': 0.6922339405560882} |
| 0.0069 | 320.0 | 4480 | 2.9372 | {'f1': 0.8009981285090455} | {'accuracy': 0.6941514860977949} |
| 0.0069 | 321.0 | 4494 | 3.0117 | {'f1': 0.8044417026526834} | {'accuracy': 0.6960690316395014} |
| 0.0098 | 322.0 | 4508 | 3.0487 | {'f1': 0.8071253071253071} | {'accuracy': 0.6989453499520614} |
| 0.0098 | 323.0 | 4522 | 3.0772 | {'f1': 0.8066298342541437} | {'accuracy': 0.697986577181208} |
| 0.0098 | 324.0 | 4536 | 3.1021 | {'f1': 0.8066298342541437} | {'accuracy': 0.697986577181208} |
| 0.0098 | 325.0 | 4550 | 3.1241 | {'f1': 0.8066298342541437} | {'accuracy': 0.697986577181208} |
| 0.0098 | 326.0 | 4564 | 3.1444 | {'f1': 0.8071253071253071} | {'accuracy': 0.6989453499520614} |
| 0.0098 | 327.0 | 4578 | 3.1630 | {'f1': 0.8071253071253071} | {'accuracy': 0.6989453499520614} |
| 0.0098 | 328.0 | 4592 | 2.2740 | {'f1': 0.8096969696969697} | {'accuracy': 0.6989453499520614} |
| 0.0098 | 329.0 | 4606 | 2.2499 | {'f1': 0.791800128122998} | {'accuracy': 0.6883988494726749} |
| 0.0098 | 330.0 | 4620 | 2.6850 | {'f1': 0.7967275015733165} | {'accuracy': 0.6903163950143816} |
| 0.0098 | 331.0 | 4634 | 2.8664 | {'f1': 0.7957526545908807} | {'accuracy': 0.6864813039309684} |
| 0.0098 | 332.0 | 4648 | 2.9464 | {'f1': 0.7990043559427504} | {'accuracy': 0.6903163950143816} |
| 0.0098 | 333.0 | 4662 | 2.9885 | {'f1': 0.7985074626865672} | {'accuracy': 0.6893576222435283} |
| 0.0098 | 334.0 | 4676 | 3.3009 | {'f1': 0.8152109328579916} | {'accuracy': 0.7018216682646213} |
| 0.0098 | 335.0 | 4690 | 3.3227 | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0098 | 336.0 | 4704 | 3.2822 | {'f1': 0.8036697247706422} | {'accuracy': 0.6922339405560882} |
| 0.0098 | 337.0 | 4718 | 3.3321 | {'f1': 0.8089751364463311} | {'accuracy': 0.697986577181208} |
| 0.0098 | 338.0 | 4732 | 2.9839 | {'f1': 0.8070602556299451} | {'accuracy': 0.6960690316395014} |
| 0.0098 | 339.0 | 4746 | 3.0142 | {'f1': 0.8096118299445472} | {'accuracy': 0.7037392138063279} |
| 0.0098 | 340.0 | 4760 | 3.1538 | {'f1': 0.8097560975609757} | {'accuracy': 0.700862895493768} |
| 0.0098 | 341.0 | 4774 | 3.2085 | {'f1': 0.8073170731707316} | {'accuracy': 0.6970278044103547} |
| 0.0098 | 342.0 | 4788 | 3.2426 | {'f1': 0.8073170731707316} | {'accuracy': 0.6970278044103547} |
| 0.0098 | 343.0 | 4802 | 3.2779 | {'f1': 0.8080438756855576} | {'accuracy': 0.697986577181208} |
| 0.0098 | 344.0 | 4816 | 3.3015 | {'f1': 0.8080438756855576} | {'accuracy': 0.697986577181208} |
| 0.0098 | 345.0 | 4830 | 3.3202 | {'f1': 0.8073170731707316} | {'accuracy': 0.6970278044103547} |
| 0.0098 | 346.0 | 4844 | 3.3374 | {'f1': 0.8073170731707316} | {'accuracy': 0.6970278044103547} |
| 0.0098 | 347.0 | 4858 | 3.1566 | {'f1': 0.795071335927367} | {'accuracy': 0.6970278044103547} |
| 0.0098 | 348.0 | 4872 | 3.2230 | {'f1': 0.8090737240075614} | {'accuracy': 0.7094918504314478} |
| 0.0098 | 349.0 | 4886 | 3.3457 | {'f1': 0.81134401972873} | {'accuracy': 0.7066155321188878} |
| 0.0098 | 350.0 | 4900 | 3.5317 | {'f1': 0.8158368326334733} | {'accuracy': 0.7056567593480345} |
| 0.0098 | 351.0 | 4914 | 3.5851 | {'f1': 0.8149910767400358} | {'accuracy': 0.7018216682646213} |
| 0.0098 | 352.0 | 4928 | 3.6059 | {'f1': 0.8156956004756243} | {'accuracy': 0.7027804410354745} |
| 0.0098 | 353.0 | 4942 | 3.6084 | {'f1': 0.8147706968433591} | {'accuracy': 0.7018216682646213} |
| 0.0098 | 354.0 | 4956 | 3.6159 | {'f1': 0.8157423971377461} | {'accuracy': 0.7037392138063279} |
| 0.0098 | 355.0 | 4970 | 3.6242 | {'f1': 0.8155223880597016} | {'accuracy': 0.7037392138063279} |
| 0.0098 | 356.0 | 4984 | 3.6325 | {'f1': 0.8155223880597016} | {'accuracy': 0.7037392138063279} |
| 0.0098 | 357.0 | 4998 | 3.6406 | {'f1': 0.8155223880597016} | {'accuracy': 0.7037392138063279} |
| 0.0036 | 358.0 | 5012 | 2.9450 | {'f1': 0.8045112781954888} | {'accuracy': 0.700862895493768} |
| 0.0036 | 359.0 | 5026 | 2.7078 | {'f1': 0.7976878612716763} | {'accuracy': 0.697986577181208} |
| 0.0036 | 360.0 | 5040 | 2.7314 | {'f1': 0.7979474021808851} | {'accuracy': 0.697986577181208} |
| 0.0036 | 361.0 | 5054 | 2.8758 | {'f1': 0.8129272840273463} | {'accuracy': 0.7114093959731543} |
| 0.0036 | 362.0 | 5068 | 3.4534 | {'f1': 0.8210770121598145} | {'accuracy': 0.7037392138063279} |
| 0.0036 | 363.0 | 5082 | 2.9697 | {'f1': 0.7806155861165684} | {'accuracy': 0.6788111217641419} |
| 0.0036 | 364.0 | 5096 | 2.3365 | {'f1': 0.7944339025932954} | {'accuracy': 0.6883988494726749} |
| 0.0036 | 365.0 | 5110 | 2.0912 | {'f1': 0.8002489110143124} | {'accuracy': 0.6922339405560882} |
| 0.0036 | 366.0 | 5124 | 2.7869 | {'f1': 0.8036923076923078} | {'accuracy': 0.6941514860977949} |
| 0.0036 | 367.0 | 5138 | 3.1001 | {'f1': 0.8181276088252833} | {'accuracy': 0.7075743048897412} |
| 0.0036 | 368.0 | 5152 | 1.6215 | {'f1': 0.7613793103448275} | {'accuracy': 0.6682646212847555} |
| 0.0036 | 369.0 | 5166 | 3.7332 | {'f1': 0.8058429701765064} | {'accuracy': 0.6941514860977949} |
| 0.0036 | 370.0 | 5180 | 2.1890 | {'f1': 0.786970684039088} | {'accuracy': 0.6864813039309684} |
| 0.0036 | 371.0 | 5194 | 1.2886 | {'f1': 0.8125755743651754} | {'accuracy': 0.7027804410354745} |
| 0.0036 | 372.0 | 5208 | 1.6628 | {'f1': 0.8226281673541544} | {'accuracy': 0.7114093959731543} |
| 0.0036 | 373.0 | 5222 | 2.3004 | {'f1': 0.8171394085697042} | {'accuracy': 0.7094918504314478} |
| 0.0036 | 374.0 | 5236 | 3.3373 | {'f1': 0.8079800498753117} | {'accuracy': 0.7046979865771812} |
| 0.0036 | 375.0 | 5250 | 2.9570 | {'f1': 0.7797979797979798} | {'accuracy': 0.6864813039309684} |
| 0.0036 | 376.0 | 5264 | 3.0372 | {'f1': 0.8151260504201681} | {'accuracy': 0.7046979865771812} |
| 0.0036 | 377.0 | 5278 | 2.9651 | {'f1': 0.8015170670037927} | {'accuracy': 0.6989453499520614} |
| 0.0036 | 378.0 | 5292 | 3.0289 | {'f1': 0.7951188182402056} | {'accuracy': 0.6941514860977949} |
| 0.0036 | 379.0 | 5306 | 3.0635 | {'f1': 0.7958789439793946} | {'accuracy': 0.6960690316395014} |
| 0.0036 | 380.0 | 5320 | 3.0910 | {'f1': 0.7961290322580644} | {'accuracy': 0.6970278044103547} |
| 0.0036 | 381.0 | 5334 | 3.1147 | {'f1': 0.7961290322580644} | {'accuracy': 0.6970278044103547} |
| 0.0036 | 382.0 | 5348 | 3.1376 | {'f1': 0.7961290322580644} | {'accuracy': 0.6970278044103547} |
| 0.0036 | 383.0 | 5362 | 3.1573 | {'f1': 0.7961290322580644} | {'accuracy': 0.6970278044103547} |
| 0.0036 | 384.0 | 5376 | 3.1749 | {'f1': 0.7961290322580644} | {'accuracy': 0.6970278044103547} |
| 0.0036 | 385.0 | 5390 | 3.1915 | {'f1': 0.7961290322580644} | {'accuracy': 0.6970278044103547} |
| 0.0036 | 386.0 | 5404 | 3.2085 | {'f1': 0.7961290322580644} | {'accuracy': 0.6970278044103547} |
| 0.0036 | 387.0 | 5418 | 3.2241 | {'f1': 0.7961290322580644} | {'accuracy': 0.6970278044103547} |
| 0.0036 | 388.0 | 5432 | 3.5863 | {'f1': 0.8160851567120047} | {'accuracy': 0.7018216682646213} |
| 0.0036 | 389.0 | 5446 | 2.7797 | {'f1': 0.7940220922677063} | {'accuracy': 0.6960690316395014} |
| 0.0036 | 390.0 | 5460 | 1.9431 | {'f1': 0.8162776780371034} | {'accuracy': 0.7056567593480345} |
| 0.0036 | 391.0 | 5474 | 2.2743 | {'f1': 0.8215527230590963} | {'accuracy': 0.7046979865771812} |
| 0.0036 | 392.0 | 5488 | 2.3312 | {'f1': 0.8167475728155339} | {'accuracy': 0.710450623202301} |
| 0.0386 | 393.0 | 5502 | 2.2822 | {'f1': 0.7704807041299933} | {'accuracy': 0.6749760306807286} |
| 0.0386 | 394.0 | 5516 | 2.6694 | {'f1': 0.7921667719519899} | {'accuracy': 0.6845637583892618} |
| 0.0386 | 395.0 | 5530 | 3.0391 | {'f1': 0.804583835946924} | {'accuracy': 0.6893576222435283} |
| 0.0386 | 396.0 | 5544 | 2.2580 | {'f1': 0.7598371777476255} | {'accuracy': 0.660594439117929} |
| 0.0386 | 397.0 | 5558 | 3.0481 | {'f1': 0.7964601769911506} | {'accuracy': 0.6912751677852349} |
| 0.0386 | 398.0 | 5572 | 2.5142 | {'f1': 0.7827763496143959} | {'accuracy': 0.675934803451582} |
| 0.0386 | 399.0 | 5586 | 2.6210 | {'f1': 0.8045700541190619} | {'accuracy': 0.6883988494726749} |
| 0.0386 | 400.0 | 5600 | 2.9611 | {'f1': 0.8036036036036036} | {'accuracy': 0.6864813039309684} |
| 0.0386 | 401.0 | 5614 | 2.8619 | {'f1': 0.7636867636867638} | {'accuracy': 0.673058485139022} |
| 0.0386 | 402.0 | 5628 | 2.4249 | {'f1': 0.81301775147929} | {'accuracy': 0.6970278044103547} |
| 0.0386 | 403.0 | 5642 | 2.4587 | {'f1': 0.8012422360248448} | {'accuracy': 0.6931927133269415} |
| 0.0386 | 404.0 | 5656 | 2.6300 | {'f1': 0.789439793947199} | {'accuracy': 0.6864813039309684} |
| 0.0386 | 405.0 | 5670 | 2.7827 | {'f1': 0.7902501603592047} | {'accuracy': 0.6864813039309684} |
| 0.0386 | 406.0 | 5684 | 2.9156 | {'f1': 0.7979924717691342} | {'accuracy': 0.6912751677852349} |
| 0.0386 | 407.0 | 5698 | 2.9933 | {'f1': 0.7977457733249842} | {'accuracy': 0.6903163950143816} |
| 0.0386 | 408.0 | 5712 | 3.0452 | {'f1': 0.7984981226533165} | {'accuracy': 0.6912751677852349} |
| 0.0386 | 409.0 | 5726 | 3.0877 | {'f1': 0.7977457733249842} | {'accuracy': 0.6903163950143816} |
| 0.0386 | 410.0 | 5740 | 3.1251 | {'f1': 0.7977457733249842} | {'accuracy': 0.6903163950143816} |
| 0.0386 | 411.0 | 5754 | 3.1571 | {'f1': 0.7977457733249842} | {'accuracy': 0.6903163950143816} |
| 0.0386 | 412.0 | 5768 | 3.1853 | {'f1': 0.7977457733249842} | {'accuracy': 0.6903163950143816} |
| 0.0386 | 413.0 | 5782 | 3.2091 | {'f1': 0.7974921630094044} | {'accuracy': 0.6903163950143816} |
| 0.0386 | 414.0 | 5796 | 3.2227 | {'f1': 0.7974842767295598} | {'accuracy': 0.6912751677852349} |
| 0.0386 | 415.0 | 5810 | 3.2415 | {'f1': 0.7972292191435768} | {'accuracy': 0.6912751677852349} |
| 0.0386 | 416.0 | 5824 | 3.2595 | {'f1': 0.7972292191435768} | {'accuracy': 0.6912751677852349} |
| 0.0386 | 417.0 | 5838 | 3.2776 | {'f1': 0.7972292191435768} | {'accuracy': 0.6912751677852349} |
| 0.0386 | 418.0 | 5852 | 3.3797 | {'f1': 0.8060790273556231} | {'accuracy': 0.6941514860977949} |
| 0.0386 | 419.0 | 5866 | 3.3321 | {'f1': 0.8078335373317013} | {'accuracy': 0.6989453499520614} |
| 0.0386 | 420.0 | 5880 | 3.3471 | {'f1': 0.7839065541855937} | {'accuracy': 0.6807286673058485} |
| 0.0386 | 421.0 | 5894 | 3.3839 | {'f1': 0.7817589576547231} | {'accuracy': 0.6788111217641419} |
| 0.0386 | 422.0 | 5908 | 3.5851 | {'f1': 0.8129793510324486} | {'accuracy': 0.6960690316395014} |
| 0.0386 | 423.0 | 5922 | 2.3379 | {'f1': 0.7357954545454546} | {'accuracy': 0.6433365292425696} |
| 0.0386 | 424.0 | 5936 | 2.2996 | {'f1': 0.8004881025015255} | {'accuracy': 0.6864813039309684} |
| 0.0386 | 425.0 | 5950 | 2.6159 | {'f1': 0.8127962085308056} | {'accuracy': 0.6970278044103547} |
| 0.0386 | 426.0 | 5964 | 2.1799 | {'f1': 0.783641160949868} | {'accuracy': 0.6855225311601151} |
| 0.0386 | 427.0 | 5978 | 2.3584 | {'f1': 0.7550593161200279} | {'accuracy': 0.663470757430489} |
| 0.0386 | 428.0 | 5992 | 2.5655 | {'f1': 0.7583333333333333} | {'accuracy': 0.6663470757430489} |
| 0.0139 | 429.0 | 6006 | 2.6718 | {'f1': 0.7762982689747004} | {'accuracy': 0.6778523489932886} |
| 0.0139 | 430.0 | 6020 | 2.6855 | {'f1': 0.8099878197320342} | {'accuracy': 0.700862895493768} |
| 0.0139 | 431.0 | 6034 | 2.6242 | {'f1': 0.8187838651414812} | {'accuracy': 0.7114093959731543} |
| 0.0139 | 432.0 | 6048 | 2.7400 | {'f1': 0.7626297577854672} | {'accuracy': 0.6711409395973155} |
| 0.0139 | 433.0 | 6062 | 2.6150 | {'f1': 0.8035043804755947} | {'accuracy': 0.6989453499520614} |
| 0.0139 | 434.0 | 6076 | 2.7831 | {'f1': 0.816884661117717} | {'accuracy': 0.7046979865771812} |
| 0.0139 | 435.0 | 6090 | 2.8820 | {'f1': 0.8170515097690941} | {'accuracy': 0.7037392138063279} |
| 0.0139 | 436.0 | 6104 | 2.9308 | {'f1': 0.8170515097690941} | {'accuracy': 0.7037392138063279} |
| 0.0139 | 437.0 | 6118 | 2.9139 | {'f1': 0.8208430913348946} | {'accuracy': 0.7066155321188878} |
| 0.0139 | 438.0 | 6132 | 2.5585 | {'f1': 0.789980732177264} | {'accuracy': 0.6864813039309684} |
| 0.0139 | 439.0 | 6146 | 2.7080 | {'f1': 0.7666214382632293} | {'accuracy': 0.6701821668264621} |
| 0.0139 | 440.0 | 6160 | 2.7866 | {'f1': 0.7995003123048096} | {'accuracy': 0.6922339405560882} |
| 0.0139 | 441.0 | 6174 | 2.9026 | {'f1': 0.7902501603592047} | {'accuracy': 0.6864813039309684} |
| 0.0139 | 442.0 | 6188 | 2.5432 | {'f1': 0.7967479674796749} | {'accuracy': 0.6883988494726749} |
| 0.0139 | 443.0 | 6202 | 2.5238 | {'f1': 0.7884984025559105} | {'accuracy': 0.6826462128475551} |
| 0.0139 | 444.0 | 6216 | 2.8826 | {'f1': 0.8093806374022849} | {'accuracy': 0.6960690316395014} |
| 0.0139 | 445.0 | 6230 | 2.9984 | {'f1': 0.8084084084084086} | {'accuracy': 0.6941514860977949} |
| 0.0139 | 446.0 | 6244 | 2.8499 | {'f1': 0.7786666666666666} | {'accuracy': 0.6816874400767018} |
| 0.0139 | 447.0 | 6258 | 3.1524 | {'f1': 0.8126115407495538} | {'accuracy': 0.697986577181208} |
| 0.0139 | 448.0 | 6272 | 2.5939 | {'f1': 0.7954688483322845} | {'accuracy': 0.6883988494726749} |
| 0.0139 | 449.0 | 6286 | 2.6332 | {'f1': 0.7931904161412359} | {'accuracy': 0.6855225311601151} |
| 0.0139 | 450.0 | 6300 | 2.7604 | {'f1': 0.7967377666248431} | {'accuracy': 0.6893576222435283} |
| 0.0139 | 451.0 | 6314 | 2.8788 | {'f1': 0.7964934251721979} | {'accuracy': 0.6883988494726749} |
| 0.0139 | 452.0 | 6328 | 2.9752 | {'f1': 0.7977598008711886} | {'accuracy': 0.6883988494726749} |
| 0.0139 | 453.0 | 6342 | 3.0790 | {'f1': 0.8051628764597419} | {'accuracy': 0.6960690316395014} |
| 0.0139 | 454.0 | 6356 | 3.0948 | {'f1': 0.8017294626312539} | {'accuracy': 0.6922339405560882} |
| 0.0139 | 455.0 | 6370 | 3.1021 | {'f1': 0.7654656696125086} | {'accuracy': 0.6692233940556088} |
| 0.0139 | 456.0 | 6384 | 3.2690 | {'f1': 0.8085867620751341} | {'accuracy': 0.6922339405560882} |
| 0.0139 | 457.0 | 6398 | 3.2204 | {'f1': 0.7992541951522685} | {'accuracy': 0.6903163950143816} |
| 0.0139 | 458.0 | 6412 | 3.2453 | {'f1': 0.8039336201598035} | {'accuracy': 0.6941514860977949} |
| 0.0139 | 459.0 | 6426 | 3.5301 | {'f1': 0.8210770121598145} | {'accuracy': 0.7037392138063279} |
| 0.0139 | 460.0 | 6440 | 3.0254 | {'f1': 0.7910643889618922} | {'accuracy': 0.6951102588686481} |
| 0.0139 | 461.0 | 6454 | 2.9332 | {'f1': 0.7884362680683311} | {'accuracy': 0.6912751677852349} |
| 0.0139 | 462.0 | 6468 | 2.9699 | {'f1': 0.8173706127305176} | {'accuracy': 0.7056567593480345} |
| 0.0139 | 463.0 | 6482 | 3.0001 | {'f1': 0.7793427230046948} | {'accuracy': 0.6845637583892618} |
| 0.0139 | 464.0 | 6496 | 2.7538 | {'f1': 0.8061349693251534} | {'accuracy': 0.6970278044103547} |
| 0.0131 | 465.0 | 6510 | 2.8126 | {'f1': 0.814769975786925} | {'accuracy': 0.7066155321188878} |
| 0.0131 | 466.0 | 6524 | 2.8735 | {'f1': 0.8087697929354447} | {'accuracy': 0.6989453499520614} |
| 0.0131 | 467.0 | 6538 | 2.3578 | {'f1': 0.7785145888594166} | {'accuracy': 0.6797698945349953} |
| 0.0131 | 468.0 | 6552 | 2.3761 | {'f1': 0.8017621145374451} | {'accuracy': 0.697986577181208} |
| 0.0131 | 469.0 | 6566 | 2.7318 | {'f1': 0.7972116603295311} | {'accuracy': 0.6931927133269415} |
| 0.0131 | 470.0 | 6580 | 2.9010 | {'f1': 0.7956715467854869} | {'accuracy': 0.6922339405560882} |
| 0.0131 | 471.0 | 6594 | 2.9826 | {'f1': 0.7949044585987262} | {'accuracy': 0.6912751677852349} |
| 0.0131 | 472.0 | 6608 | 3.0332 | {'f1': 0.7949044585987262} | {'accuracy': 0.6912751677852349} |
| 0.0131 | 473.0 | 6622 | 3.2024 | {'f1': 0.8156490812092472} | {'accuracy': 0.7018216682646213} |
| 0.0131 | 474.0 | 6636 | 2.4478 | {'f1': 0.7954110898661567} | {'accuracy': 0.6922339405560882} |
| 0.0131 | 475.0 | 6650 | 2.4456 | {'f1': 0.8012422360248448} | {'accuracy': 0.6931927133269415} |
| 0.0131 | 476.0 | 6664 | 2.6001 | {'f1': 0.8027295285359802} | {'accuracy': 0.6951102588686481} |
| 0.0131 | 477.0 | 6678 | 2.7400 | {'f1': 0.800995024875622} | {'accuracy': 0.6931927133269415} |
| 0.0131 | 478.0 | 6692 | 2.8320 | {'f1': 0.7964934251721979} | {'accuracy': 0.6883988494726749} |
| 0.0131 | 479.0 | 6706 | 2.5281 | {'f1': 0.7469707769066287} | {'accuracy': 0.6596356663470757} |
| 0.0131 | 480.0 | 6720 | 2.5766 | {'f1': 0.8161120840630472} | {'accuracy': 0.697986577181208} |
| 0.0131 | 481.0 | 6734 | 2.5305 | {'f1': 0.7659574468085106} | {'accuracy': 0.6625119846596357} |
| 0.0131 | 482.0 | 6748 | 2.3921 | {'f1': 0.7960074859638179} | {'accuracy': 0.6864813039309684} |
| 0.0131 | 483.0 | 6762 | 2.4996 | {'f1': 0.7952110901071204} | {'accuracy': 0.6883988494726749} |
| 0.0131 | 484.0 | 6776 | 2.6653 | {'f1': 0.7762982689747004} | {'accuracy': 0.6778523489932886} |
| 0.0131 | 485.0 | 6790 | 3.0385 | {'f1': 0.8012232415902141} | {'accuracy': 0.6883988494726749} |
| 0.0131 | 486.0 | 6804 | 3.1716 | {'f1': 0.8043609933373714} | {'accuracy': 0.6903163950143816} |
| 0.0131 | 487.0 | 6818 | 3.2276 | {'f1': 0.8050847457627118} | {'accuracy': 0.6912751677852349} |
| 0.0131 | 488.0 | 6832 | 1.7698 | {'f1': 0.7873015873015873} | {'accuracy': 0.6788111217641419} |
| 0.0131 | 489.0 | 6846 | 2.4308 | {'f1': 0.7795733678086618} | {'accuracy': 0.673058485139022} |
| 0.0131 | 490.0 | 6860 | 2.6855 | {'f1': 0.8183421516754849} | {'accuracy': 0.7037392138063279} |
| 0.0131 | 491.0 | 6874 | 2.9189 | {'f1': 0.815556865055981} | {'accuracy': 0.6999041227229147} |
| 0.0131 | 492.0 | 6888 | 2.2206 | {'f1': 0.8074074074074074} | {'accuracy': 0.700862895493768} |
| 0.0131 | 493.0 | 6902 | 2.7540 | {'f1': 0.7964601769911506} | {'accuracy': 0.6912751677852349} |
| 0.0131 | 494.0 | 6916 | 2.9364 | {'f1': 0.7921169739351557} | {'accuracy': 0.6864813039309684} |
| 0.0131 | 495.0 | 6930 | 3.0218 | {'f1': 0.7918523233609166} | {'accuracy': 0.6864813039309684} |
| 0.0131 | 496.0 | 6944 | 3.0702 | {'f1': 0.7918523233609166} | {'accuracy': 0.6864813039309684} |
| 0.0131 | 497.0 | 6958 | 3.1052 | {'f1': 0.7923566878980891} | {'accuracy': 0.6874400767018217} |
| 0.0131 | 498.0 | 6972 | 3.1330 | {'f1': 0.7923566878980891} | {'accuracy': 0.6874400767018217} |
| 0.0131 | 499.0 | 6986 | 3.1602 | {'f1': 0.7923566878980891} | {'accuracy': 0.6874400767018217} |
| 0.01 | 500.0 | 7000 | 3.1835 | {'f1': 0.7908163265306123} | {'accuracy': 0.6855225311601151} |
| 0.01 | 501.0 | 7014 | 3.4305 | {'f1': 0.8145539906103286} | {'accuracy': 0.6970278044103547} |
| 0.01 | 502.0 | 7028 | 3.0261 | {'f1': 0.8069522036002483} | {'accuracy': 0.7018216682646213} |
| 0.01 | 503.0 | 7042 | 3.0151 | {'f1': 0.8149038461538463} | {'accuracy': 0.7046979865771812} |
| 0.01 | 504.0 | 7056 | 2.3399 | {'f1': 0.7908163265306123} | {'accuracy': 0.6855225311601151} |
| 0.01 | 505.0 | 7070 | 2.4023 | {'f1': 0.760719225449516} | {'accuracy': 0.6682646212847555} |
| 0.01 | 506.0 | 7084 | 3.1157 | {'f1': 0.8193054738081225} | {'accuracy': 0.7056567593480345} |
| 0.01 | 507.0 | 7098 | 3.0538 | {'f1': 0.7773386034255599} | {'accuracy': 0.675934803451582} |
| 0.01 | 508.0 | 7112 | 3.2491 | {'f1': 0.7611336032388664} | {'accuracy': 0.660594439117929} |
| 0.01 | 509.0 | 7126 | 3.1690 | {'f1': 0.8187759952465835} | {'accuracy': 0.7075743048897412} |
| 0.01 | 510.0 | 7140 | 1.9933 | {'f1': 0.7932542161149281} | {'accuracy': 0.6826462128475551} |
| 0.01 | 511.0 | 7154 | 2.4739 | {'f1': 0.7874920229738352} | {'accuracy': 0.6807286673058485} |
| 0.01 | 512.0 | 7168 | 2.8603 | {'f1': 0.7879948914431673} | {'accuracy': 0.6816874400767018} |
| 0.01 | 513.0 | 7182 | 3.0046 | {'f1': 0.7874920229738352} | {'accuracy': 0.6807286673058485} |
| 0.01 | 514.0 | 7196 | 3.0889 | {'f1': 0.787531806615776} | {'accuracy': 0.6797698945349953} |
| 0.01 | 515.0 | 7210 | 3.1337 | {'f1': 0.7883026064844246} | {'accuracy': 0.6807286673058485} |
| 0.01 | 516.0 | 7224 | 3.1658 | {'f1': 0.7883026064844246} | {'accuracy': 0.6807286673058485} |
| 0.01 | 517.0 | 7238 | 3.2695 | {'f1': 0.8088675853804673} | {'accuracy': 0.6941514860977949} |
| 0.01 | 518.0 | 7252 | 3.6988 | {'f1': 0.766996699669967} | {'accuracy': 0.6615532118887824} |
| 0.01 | 519.0 | 7266 | 3.3198 | {'f1': 0.8041362530413625} | {'accuracy': 0.6912751677852349} |
| 0.01 | 520.0 | 7280 | 3.4886 | {'f1': 0.774490466798159} | {'accuracy': 0.6711409395973155} |
| 0.01 | 521.0 | 7294 | 3.4256 | {'f1': 0.8029020556227328} | {'accuracy': 0.6874400767018217} |
| 0.01 | 522.0 | 7308 | 3.8505 | {'f1': 0.7377398720682303} | {'accuracy': 0.6462128475551294} |
| 0.01 | 523.0 | 7322 | 2.4827 | {'f1': 0.7786458333333334} | {'accuracy': 0.6740172579098753} |
| 0.01 | 524.0 | 7336 | 2.6362 | {'f1': 0.7823303457106274} | {'accuracy': 0.6740172579098753} |
| 0.01 | 525.0 | 7350 | 2.8792 | {'f1': 0.7836630504148053} | {'accuracy': 0.6749760306807286} |
| 0.01 | 526.0 | 7364 | 3.0368 | {'f1': 0.7859872611464968} | {'accuracy': 0.6778523489932886} |
| 0.01 | 527.0 | 7378 | 3.1382 | {'f1': 0.7867600254614894} | {'accuracy': 0.6788111217641419} |
| 0.01 | 528.0 | 7392 | 3.1761 | {'f1': 0.7970112079701122} | {'accuracy': 0.6874400767018217} |
| 0.01 | 529.0 | 7406 | 3.2169 | {'f1': 0.8086124401913877} | {'accuracy': 0.6931927133269415} |
| 0.01 | 530.0 | 7420 | 2.8451 | {'f1': 0.7713903743315508} | {'accuracy': 0.6720997123681688} |
| 0.01 | 531.0 | 7434 | 2.6800 | {'f1': 0.8002473716759431} | {'accuracy': 0.6903163950143816} |
| 0.01 | 532.0 | 7448 | 2.7111 | {'f1': 0.7927135678391961} | {'accuracy': 0.6836049856184084} |
| 0.01 | 533.0 | 7462 | 2.0978 | {'f1': 0.7693333333333334} | {'accuracy': 0.6682646212847555} |
| 0.01 | 534.0 | 7476 | 2.1644 | {'f1': 0.8101879927228623} | {'accuracy': 0.6999041227229147} |
| 0.01 | 535.0 | 7490 | 2.9518 | {'f1': 0.794486215538847} | {'accuracy': 0.6855225311601151} |
| 0.0171 | 536.0 | 7504 | 3.2772 | {'f1': 0.7862156987874921} | {'accuracy': 0.6788111217641419} |
| 0.0171 | 537.0 | 7518 | 3.3964 | {'f1': 0.7848911651728553} | {'accuracy': 0.6778523489932886} |
| 0.0171 | 538.0 | 7532 | 3.4554 | {'f1': 0.7827763496143959} | {'accuracy': 0.675934803451582} |
| 0.0171 | 539.0 | 7546 | 3.4931 | {'f1': 0.7832797427652733} | {'accuracy': 0.6768935762224353} |
| 0.0171 | 540.0 | 7560 | 3.3635 | {'f1': 0.8051470588235294} | {'accuracy': 0.6951102588686481} |
| 0.0171 | 541.0 | 7574 | 3.3985 | {'f1': 0.8081048867699643} | {'accuracy': 0.6912751677852349} |
| 0.0171 | 542.0 | 7588 | 3.0939 | {'f1': 0.7942643391521197} | {'accuracy': 0.6836049856184084} |
| 0.0171 | 543.0 | 7602 | 2.9466 | {'f1': 0.7718832891246684} | {'accuracy': 0.6701821668264621} |
| 0.0171 | 544.0 | 7616 | 1.8571 | {'f1': 0.7733507511430437} | {'accuracy': 0.6673058485139022} |
| 0.0171 | 545.0 | 7630 | 2.6057 | {'f1': 0.7886075949367087} | {'accuracy': 0.6797698945349953} |
| 0.0171 | 546.0 | 7644 | 2.9589 | {'f1': 0.7889447236180904} | {'accuracy': 0.6778523489932886} |
| 0.0171 | 547.0 | 7658 | 3.0970 | {'f1': 0.7874608150470219} | {'accuracy': 0.6749760306807286} |
| 0.0171 | 548.0 | 7672 | 3.1663 | {'f1': 0.7874608150470219} | {'accuracy': 0.6749760306807286} |
| 0.0171 | 549.0 | 7686 | 3.2126 | {'f1': 0.7874608150470219} | {'accuracy': 0.6749760306807286} |
| 0.0171 | 550.0 | 7700 | 3.2575 | {'f1': 0.7877269881026925} | {'accuracy': 0.6749760306807286} |
| 0.0171 | 551.0 | 7714 | 3.2908 | {'f1': 0.7879924953095684} | {'accuracy': 0.6749760306807286} |
| 0.0171 | 552.0 | 7728 | 3.3198 | {'f1': 0.7879924953095684} | {'accuracy': 0.6749760306807286} |
| 0.0171 | 553.0 | 7742 | 3.3463 | {'f1': 0.7879924953095684} | {'accuracy': 0.6749760306807286} |
| 0.0171 | 554.0 | 7756 | 3.3709 | {'f1': 0.7879924953095684} | {'accuracy': 0.6749760306807286} |
| 0.0171 | 555.0 | 7770 | 3.3941 | {'f1': 0.7875} | {'accuracy': 0.6740172579098753} |
| 0.0171 | 556.0 | 7784 | 3.4160 | {'f1': 0.7879924953095684} | {'accuracy': 0.6749760306807286} |
| 0.0171 | 557.0 | 7798 | 3.4407 | {'f1': 0.7870081199250469} | {'accuracy': 0.673058485139022} |
| 0.0171 | 558.0 | 7812 | 3.4644 | {'f1': 0.787765293383271} | {'accuracy': 0.6740172579098753} |
| 0.0171 | 559.0 | 7826 | 3.4835 | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022} |
| 0.0171 | 560.0 | 7840 | 3.5017 | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022} |
| 0.0171 | 561.0 | 7854 | 3.5183 | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022} |
| 0.0171 | 562.0 | 7868 | 3.5344 | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022} |
| 0.0171 | 563.0 | 7882 | 3.5497 | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022} |
| 0.0171 | 564.0 | 7896 | 3.5645 | {'f1': 0.787765293383271} | {'accuracy': 0.6740172579098753} |
| 0.0171 | 565.0 | 7910 | 3.5784 | {'f1': 0.787765293383271} | {'accuracy': 0.6740172579098753} |
| 0.0171 | 566.0 | 7924 | 3.5919 | {'f1': 0.787765293383271} | {'accuracy': 0.6740172579098753} |
| 0.0171 | 567.0 | 7938 | 3.6050 | {'f1': 0.787765293383271} | {'accuracy': 0.6740172579098753} |
| 0.0171 | 568.0 | 7952 | 3.6171 | {'f1': 0.787765293383271} | {'accuracy': 0.6740172579098753} |
| 0.0171 | 569.0 | 7966 | 3.6292 | {'f1': 0.787765293383271} | {'accuracy': 0.6740172579098753} |
| 0.0171 | 570.0 | 7980 | 3.6427 | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022} |
| 0.0171 | 571.0 | 7994 | 3.6552 | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022} |
| 0.0034 | 572.0 | 8008 | 3.6665 | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022} |
| 0.0034 | 573.0 | 8022 | 3.6777 | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022} |
| 0.0034 | 574.0 | 8036 | 3.6885 | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022} |
| 0.0034 | 575.0 | 8050 | 3.6986 | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022} |
| 0.0034 | 576.0 | 8064 | 3.7085 | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022} |
| 0.0034 | 577.0 | 8078 | 3.7180 | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022} |
| 0.0034 | 578.0 | 8092 | 3.7272 | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022} |
| 0.0034 | 579.0 | 8106 | 3.7361 | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022} |
| 0.0034 | 580.0 | 8120 | 3.7446 | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022} |
| 0.0034 | 581.0 | 8134 | 3.7552 | {'f1': 0.7872738615096695} | {'accuracy': 0.673058485139022} |
| 0.0034 | 582.0 | 8148 | 3.7659 | {'f1': 0.7880299251870324} | {'accuracy': 0.6740172579098753} |
| 0.0034 | 583.0 | 8162 | 3.7752 | {'f1': 0.7887850467289719} | {'accuracy': 0.6749760306807286} |
| 0.0034 | 584.0 | 8176 | 3.7831 | {'f1': 0.7887850467289719} | {'accuracy': 0.6749760306807286} |
| 0.0034 | 585.0 | 8190 | 3.7917 | {'f1': 0.7887850467289719} | {'accuracy': 0.6749760306807286} |
| 0.0034 | 586.0 | 8204 | 3.5543 | {'f1': 0.8146399055489965} | {'accuracy': 0.6989453499520614} |
| 0.0034 | 587.0 | 8218 | 3.0105 | {'f1': 0.8017135862913096} | {'accuracy': 0.6893576222435283} |
| 0.0034 | 588.0 | 8232 | 2.6924 | {'f1': 0.7908163265306123} | {'accuracy': 0.6855225311601151} |
| 0.0034 | 589.0 | 8246 | 2.8289 | {'f1': 0.7997489014438168} | {'accuracy': 0.6941514860977949} |
| 0.0034 | 590.0 | 8260 | 3.0225 | {'f1': 0.8054187192118226} | {'accuracy': 0.6970278044103547} |
| 0.0034 | 591.0 | 8274 | 3.1178 | {'f1': 0.7943805874840357} | {'accuracy': 0.6912751677852349} |
| 0.0034 | 592.0 | 8288 | 3.1906 | {'f1': 0.7889672867222579} | {'accuracy': 0.6845637583892618} |
| 0.0034 | 593.0 | 8302 | 3.2294 | {'f1': 0.7866323907455013} | {'accuracy': 0.6816874400767018} |
| 0.0034 | 594.0 | 8316 | 3.2617 | {'f1': 0.7866323907455013} | {'accuracy': 0.6816874400767018} |
| 0.0034 | 595.0 | 8330 | 3.2899 | {'f1': 0.7874116891457931} | {'accuracy': 0.6826462128475551} |
| 0.0034 | 596.0 | 8344 | 3.3201 | {'f1': 0.7874116891457931} | {'accuracy': 0.6826462128475551} |
| 0.0034 | 597.0 | 8358 | 3.3442 | {'f1': 0.7889672867222579} | {'accuracy': 0.6845637583892618} |
| 0.0034 | 598.0 | 8372 | 3.3655 | {'f1': 0.7897435897435897} | {'accuracy': 0.6855225311601151} |
| 0.0034 | 599.0 | 8386 | 3.3859 | {'f1': 0.7897435897435897} | {'accuracy': 0.6855225311601151} |
| 0.0034 | 600.0 | 8400 | 3.4053 | {'f1': 0.7897435897435897} | {'accuracy': 0.6855225311601151} |
| 0.0034 | 601.0 | 8414 | 3.4259 | {'f1': 0.7905188981422164} | {'accuracy': 0.6864813039309684} |
| 0.0034 | 602.0 | 8428 | 3.4442 | {'f1': 0.7912932138284252} | {'accuracy': 0.6874400767018217} |
| 0.0034 | 603.0 | 8442 | 3.4615 | {'f1': 0.7912932138284252} | {'accuracy': 0.6874400767018217} |
| 0.0034 | 604.0 | 8456 | 3.4766 | {'f1': 0.7912932138284252} | {'accuracy': 0.6874400767018217} |
| 0.0034 | 605.0 | 8470 | 3.4912 | {'f1': 0.7912932138284252} | {'accuracy': 0.6874400767018217} |
| 0.0034 | 606.0 | 8484 | 3.5058 | {'f1': 0.7912932138284252} | {'accuracy': 0.6874400767018217} |
| 0.0034 | 607.0 | 8498 | 3.5228 | {'f1': 0.7928388746803069} | {'accuracy': 0.6893576222435283} |
| 0.0022 | 608.0 | 8512 | 3.5376 | {'f1': 0.7928388746803069} | {'accuracy': 0.6893576222435283} |
| 0.0022 | 609.0 | 8526 | 3.5503 | {'f1': 0.7928388746803069} | {'accuracy': 0.6893576222435283} |
| 0.0022 | 610.0 | 8540 | 3.5641 | {'f1': 0.7928388746803069} | {'accuracy': 0.6893576222435283} |
| 0.0022 | 611.0 | 8554 | 3.5756 | {'f1': 0.7928388746803069} | {'accuracy': 0.6893576222435283} |
| 0.0022 | 612.0 | 8568 | 3.5870 | {'f1': 0.7928388746803069} | {'accuracy': 0.6893576222435283} |
| 0.0022 | 613.0 | 8582 | 3.5977 | {'f1': 0.7928388746803069} | {'accuracy': 0.6893576222435283} |
| 0.0022 | 614.0 | 8596 | 3.6083 | {'f1': 0.7936102236421724} | {'accuracy': 0.6903163950143816} |
| 0.0022 | 615.0 | 8610 | 3.6184 | {'f1': 0.7936102236421724} | {'accuracy': 0.6903163950143816} |
| 0.0022 | 616.0 | 8624 | 3.6284 | {'f1': 0.7936102236421724} | {'accuracy': 0.6903163950143816} |
| 0.0022 | 617.0 | 8638 | 3.6382 | {'f1': 0.7936102236421724} | {'accuracy': 0.6903163950143816} |
| 0.0022 | 618.0 | 8652 | 3.6477 | {'f1': 0.7936102236421724} | {'accuracy': 0.6903163950143816} |
| 0.0022 | 619.0 | 8666 | 3.6308 | {'f1': 0.8015122873345935} | {'accuracy': 0.697986577181208} |
| 0.0022 | 620.0 | 8680 | 3.6724 | {'f1': 0.8039950062421971} | {'accuracy': 0.6989453499520614} |
| 0.0022 | 621.0 | 8694 | 3.6891 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022 | 622.0 | 8708 | 3.6990 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022 | 623.0 | 8722 | 3.7076 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022 | 624.0 | 8736 | 3.7154 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022 | 625.0 | 8750 | 3.7228 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022 | 626.0 | 8764 | 3.7299 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022 | 627.0 | 8778 | 3.7370 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022 | 628.0 | 8792 | 3.7443 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022 | 629.0 | 8806 | 3.7513 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022 | 630.0 | 8820 | 3.7582 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022 | 631.0 | 8834 | 3.7653 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022 | 632.0 | 8848 | 3.7720 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022 | 633.0 | 8862 | 3.7795 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022 | 634.0 | 8876 | 3.7859 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022 | 635.0 | 8890 | 3.7924 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022 | 636.0 | 8904 | 3.8015 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022 | 637.0 | 8918 | 3.8139 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022 | 638.0 | 8932 | 3.8213 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022 | 639.0 | 8946 | 3.8276 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022 | 640.0 | 8960 | 3.8335 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022 | 641.0 | 8974 | 3.8389 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0022 | 642.0 | 8988 | 3.8445 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 643.0 | 9002 | 3.8501 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 644.0 | 9016 | 3.8557 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 645.0 | 9030 | 3.8612 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 646.0 | 9044 | 3.8672 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 647.0 | 9058 | 3.8728 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 648.0 | 9072 | 3.8786 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 649.0 | 9086 | 3.8839 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 650.0 | 9100 | 3.8891 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 651.0 | 9114 | 3.8941 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 652.0 | 9128 | 3.8991 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 653.0 | 9142 | 3.9040 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 654.0 | 9156 | 3.9087 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 655.0 | 9170 | 3.9134 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 656.0 | 9184 | 3.9179 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 657.0 | 9198 | 3.9225 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 658.0 | 9212 | 3.9272 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 659.0 | 9226 | 3.9319 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 660.0 | 9240 | 3.9366 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 661.0 | 9254 | 3.9411 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 662.0 | 9268 | 3.9456 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 663.0 | 9282 | 3.9504 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 664.0 | 9296 | 3.9549 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 665.0 | 9310 | 3.9592 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 666.0 | 9324 | 3.9634 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 667.0 | 9338 | 3.9679 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 668.0 | 9352 | 3.9728 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 669.0 | 9366 | 3.9773 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 670.0 | 9380 | 3.9817 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 671.0 | 9394 | 3.9856 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 672.0 | 9408 | 3.9896 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 673.0 | 9422 | 3.9935 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 674.0 | 9436 | 3.9980 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 675.0 | 9450 | 4.0021 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 676.0 | 9464 | 4.0060 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 677.0 | 9478 | 4.0101 | {'f1': 0.8044831880448319} | {'accuracy': 0.6989453499520614} |
| 0.0 | 678.0 | 9492 | 4.0167 | {'f1': 0.80522713130056} | {'accuracy': 0.6999041227229147} |
| 0.0 | 679.0 | 9506 | 4.0360 | {'f1': 0.8042131350681536} | {'accuracy': 0.6970278044103547} |
| 0.0 | 680.0 | 9520 | 4.0438 | {'f1': 0.8042131350681536} | {'accuracy': 0.6970278044103547} |
| 0.0 | 681.0 | 9534 | 4.0486 | {'f1': 0.8042131350681536} | {'accuracy': 0.6970278044103547} |
| 0.0 | 682.0 | 9548 | 4.0525 | {'f1': 0.8042131350681536} | {'accuracy': 0.6970278044103547} |
| 0.0 | 683.0 | 9562 | 4.0563 | {'f1': 0.8042131350681536} | {'accuracy': 0.6970278044103547} |
| 0.0 | 684.0 | 9576 | 4.0601 | {'f1': 0.8042131350681536} | {'accuracy': 0.6970278044103547} |
| 0.0 | 685.0 | 9590 | 4.0634 | {'f1': 0.8042131350681536} | {'accuracy': 0.6970278044103547} |
| 0.0 | 686.0 | 9604 | 4.0670 | {'f1': 0.8042131350681536} | {'accuracy': 0.6970278044103547} |
| 0.0 | 687.0 | 9618 | 4.0708 | {'f1': 0.8042131350681536} | {'accuracy': 0.6970278044103547} |
| 0.0 | 688.0 | 9632 | 4.0744 | {'f1': 0.8042131350681536} | {'accuracy': 0.6970278044103547} |
| 0.0 | 689.0 | 9646 | 4.0779 | {'f1': 0.8042131350681536} | {'accuracy': 0.6970278044103547} |
| 0.0 | 690.0 | 9660 | 4.1401 | {'f1': 0.7400140154169587} | {'accuracy': 0.6442953020134228} |
| 0.0 | 691.0 | 9674 | 2.9080 | {'f1': 0.646677471636953} | {'accuracy': 0.5819750719079578} |
| 0.0 | 692.0 | 9688 | 2.4996 | {'f1': 0.7581612258494337} | {'accuracy': 0.6519654841802492} |
| 0.0 | 693.0 | 9702 | 1.4869 | {'f1': 0.7620995228357192} | {'accuracy': 0.6653883029721956} |
| 0.0 | 694.0 | 9716 | 2.8832 | {'f1': 0.7965043695380775} | {'accuracy': 0.6874400767018217} |
| 0.0 | 695.0 | 9730 | 2.7789 | {'f1': 0.7964934251721979} | {'accuracy': 0.6883988494726749} |
| 0.0 | 696.0 | 9744 | 2.5898 | {'f1': 0.7841634738186462} | {'accuracy': 0.675934803451582} |
| 0.0 | 697.0 | 9758 | 3.4876 | {'f1': 0.8086124401913877} | {'accuracy': 0.6931927133269415} |
| 0.0 | 698.0 | 9772 | 1.8756 | {'f1': 0.8088147706968434} | {'accuracy': 0.6922339405560882} |
| 0.0 | 699.0 | 9786 | 2.3075 | {'f1': 0.7590361445783131} | {'accuracy': 0.6548418024928092} |
| 0.0 | 700.0 | 9800 | 2.8974 | {'f1': 0.7997587454764777} | {'accuracy': 0.6816874400767018} |
| 0.0 | 701.0 | 9814 | 1.6630 | {'f1': 0.8114754098360656} | {'accuracy': 0.6912751677852349} |
| 0.0 | 702.0 | 9828 | 2.1706 | {'f1': 0.7496503496503497} | {'accuracy': 0.6567593480345159} |
| 0.0 | 703.0 | 9842 | 2.7023 | {'f1': 0.8097793679189027} | {'accuracy': 0.6941514860977949} |
| 0.0 | 704.0 | 9856 | 2.4143 | {'f1': 0.8107476635514019} | {'accuracy': 0.6893576222435283} |
| 0.0 | 705.0 | 9870 | 2.4155 | {'f1': 0.7537414965986393} | {'accuracy': 0.6529242569511026} |
| 0.0 | 706.0 | 9884 | 2.3257 | {'f1': 0.8095808383233534} | {'accuracy': 0.6951102588686481} |
| 0.0 | 707.0 | 9898 | 2.0575 | {'f1': 0.7878017789072428} | {'accuracy': 0.6797698945349953} |
| 0.0 | 708.0 | 9912 | 2.1041 | {'f1': 0.7755367599219257} | {'accuracy': 0.6692233940556088} |
| 0.0 | 709.0 | 9926 | 2.2808 | {'f1': 0.7997542997542998} | {'accuracy': 0.6874400767018217} |
| 0.0 | 710.0 | 9940 | 2.6174 | {'f1': 0.7856242118537199} | {'accuracy': 0.6740172579098753} |
| 0.0 | 711.0 | 9954 | 2.5097 | {'f1': 0.7977873386601106} | {'accuracy': 0.6845637583892618} |
| 0.0 | 712.0 | 9968 | 1.9034 | {'f1': 0.7704485488126649} | {'accuracy': 0.6663470757430489} |
| 0.0 | 713.0 | 9982 | 1.9435 | {'f1': 0.7874608150470219} | {'accuracy': 0.6749760306807286} |
| 0.0 | 714.0 | 9996 | 2.3099 | {'f1': 0.7732293697205979} | {'accuracy': 0.6653883029721956} |
| 0.0336 | 715.0 | 10010 | 2.6305 | {'f1': 0.7746113989637305} | {'accuracy': 0.6663470757430489} |
| 0.0336 | 716.0 | 10024 | 2.8333 | {'f1': 0.7910725356478611} | {'accuracy': 0.6768935762224353} |
| 0.0336 | 717.0 | 10038 | 2.6909 | {'f1': 0.7624090006618133} | {'accuracy': 0.6558005752636625} |
| 0.0336 | 718.0 | 10052 | 2.8137 | {'f1': 0.8031591737545565} | {'accuracy': 0.6893576222435283} |
| 0.0336 | 719.0 | 10066 | 2.8197 | {'f1': 0.7869897959183674} | {'accuracy': 0.6797698945349953} |
| 0.0336 | 720.0 | 10080 | 3.2168 | {'f1': 0.8111563044741429} | {'accuracy': 0.6883988494726749} |
| 0.0336 | 721.0 | 10094 | 2.8172 | {'f1': 0.787153652392947} | {'accuracy': 0.675934803451582} |
| 0.0336 | 722.0 | 10108 | 2.8151 | {'f1': 0.7941176470588236} | {'accuracy': 0.6778523489932886} |
| 0.0336 | 723.0 | 10122 | 2.5693 | {'f1': 0.7926442612555485} | {'accuracy': 0.6864813039309684} |
| 0.0336 | 724.0 | 10136 | 2.6530 | {'f1': 0.7851077726975833} | {'accuracy': 0.6845637583892618} |
| 0.0336 | 725.0 | 10150 | 2.7999 | {'f1': 0.7920154539600773} | {'accuracy': 0.6903163950143816} |
| 0.0336 | 726.0 | 10164 | 2.8568 | {'f1': 0.799492385786802} | {'accuracy': 0.6970278044103547} |
| 0.0336 | 727.0 | 10178 | 2.9037 | {'f1': 0.7989918084436043} | {'accuracy': 0.6941514860977949} |
| 0.0336 | 728.0 | 10192 | 2.9466 | {'f1': 0.7992448080553808} | {'accuracy': 0.6941514860977949} |
| 0.0336 | 729.0 | 10206 | 2.9810 | {'f1': 0.7992448080553808} | {'accuracy': 0.6941514860977949} |
| 0.0336 | 730.0 | 10220 | 3.0102 | {'f1': 0.7992448080553808} | {'accuracy': 0.6941514860977949} |
| 0.0336 | 731.0 | 10234 | 3.0362 | {'f1': 0.7984886649874057} | {'accuracy': 0.6931927133269415} |
| 0.0336 | 732.0 | 10248 | 3.0591 | {'f1': 0.7984886649874057} | {'accuracy': 0.6931927133269415} |
| 0.0336 | 733.0 | 10262 | 3.0811 | {'f1': 0.7984886649874057} | {'accuracy': 0.6931927133269415} |
| 0.0336 | 734.0 | 10276 | 3.1021 | {'f1': 0.7984886649874057} | {'accuracy': 0.6931927133269415} |
| 0.0336 | 735.0 | 10290 | 3.1223 | {'f1': 0.7984886649874057} | {'accuracy': 0.6931927133269415} |
| 0.0336 | 736.0 | 10304 | 3.1414 | {'f1': 0.7984886649874057} | {'accuracy': 0.6931927133269415} |
| 0.0336 | 737.0 | 10318 | 3.1591 | {'f1': 0.7984886649874057} | {'accuracy': 0.6931927133269415} |
| 0.0336 | 738.0 | 10332 | 3.1765 | {'f1': 0.7989918084436043} | {'accuracy': 0.6941514860977949} |
| 0.0336 | 739.0 | 10346 | 3.1929 | {'f1': 0.7989918084436043} | {'accuracy': 0.6941514860977949} |
| 0.0336 | 740.0 | 10360 | 3.2983 | {'f1': 0.8144269924374637} | {'accuracy': 0.6941514860977949} |
| 0.0336 | 741.0 | 10374 | 2.0174 | {'f1': 0.7792378449408673} | {'accuracy': 0.6778523489932886} |
| 0.0336 | 742.0 | 10388 | 2.3403 | {'f1': 0.7894736842105263} | {'accuracy': 0.6855225311601151} |
| 0.0336 | 743.0 | 10402 | 2.7236 | {'f1': 0.8038507821901323} | {'accuracy': 0.6874400767018217} |
| 0.0336 | 744.0 | 10416 | 2.8384 | {'f1': 0.8022249690976515} | {'accuracy': 0.6931927133269415} |
| 0.0336 | 745.0 | 10430 | 2.8409 | {'f1': 0.8044144696505211} | {'accuracy': 0.6941514860977949} |
| 0.0336 | 746.0 | 10444 | 2.8294 | {'f1': 0.789776357827476} | {'accuracy': 0.6845637583892618} |
| 0.0336 | 747.0 | 10458 | 2.8725 | {'f1': 0.7883495145631068} | {'accuracy': 0.6864813039309684} |
| 0.0336 | 748.0 | 10472 | 2.9257 | {'f1': 0.7859922178988327} | {'accuracy': 0.6836049856184084} |
| 0.0336 | 749.0 | 10486 | 2.9753 | {'f1': 0.7844155844155843} | {'accuracy': 0.6816874400767018} |
| 0.0105 | 750.0 | 10500 | 3.0187 | {'f1': 0.783625730994152} | {'accuracy': 0.6807286673058485} |
| 0.0105 | 751.0 | 10514 | 3.1320 | {'f1': 0.798004987531172} | {'accuracy': 0.6893576222435283} |
| 0.0105 | 752.0 | 10528 | 3.2643 | {'f1': 0.802679658952497} | {'accuracy': 0.6893576222435283} |
| 0.0105 | 753.0 | 10542 | 3.3017 | {'f1': 0.8021844660194175} | {'accuracy': 0.6874400767018217} |
| 0.0105 | 754.0 | 10556 | 3.3362 | {'f1': 0.8026715239829995} | {'accuracy': 0.6883988494726749} |
| 0.0105 | 755.0 | 10570 | 3.3636 | {'f1': 0.8036474164133739} | {'accuracy': 0.6903163950143816} |
| 0.0105 | 756.0 | 10584 | 3.4007 | {'f1': 0.8019500304692261} | {'accuracy': 0.6883988494726749} |
| 0.0105 | 757.0 | 10598 | 2.4360 | {'f1': 0.796273291925466} | {'accuracy': 0.6855225311601151} |
| 0.0105 | 758.0 | 10612 | 2.0436 | {'f1': 0.7885714285714285} | {'accuracy': 0.6807286673058485} |
| 0.0105 | 759.0 | 10626 | 2.3992 | {'f1': 0.7851662404092072} | {'accuracy': 0.6778523489932886} |
| 0.0105 | 760.0 | 10640 | 2.6575 | {'f1': 0.8045427375971309} | {'accuracy': 0.6864813039309684} |
| 0.0105 | 761.0 | 10654 | 2.1249 | {'f1': 0.7903430749682339} | {'accuracy': 0.6836049856184084} |
| 0.0105 | 762.0 | 10668 | 2.3252 | {'f1': 0.8022045315370484} | {'accuracy': 0.6903163950143816} |
| 0.0105 | 763.0 | 10682 | 1.3982 | {'f1': 0.8029286150091519} | {'accuracy': 0.6903163950143816} |
| 0.0105 | 764.0 | 10696 | 2.3091 | {'f1': 0.8074834037417018} | {'accuracy': 0.6941514860977949} |
| 0.0105 | 765.0 | 10710 | 2.4466 | {'f1': 0.7936708860759493} | {'accuracy': 0.6874400767018217} |
| 0.0105 | 766.0 | 10724 | 2.5603 | {'f1': 0.7880751782242384} | {'accuracy': 0.6864813039309684} |
| 0.0105 | 767.0 | 10738 | 2.3400 | {'f1': 0.7905792488860598} | {'accuracy': 0.6845637583892618} |
| 0.0105 | 768.0 | 10752 | 2.1074 | {'f1': 0.7967581047381546} | {'accuracy': 0.6874400767018217} |
| 0.0105 | 769.0 | 10766 | 2.4285 | {'f1': 0.7972465581977473} | {'accuracy': 0.6893576222435283} |
| 0.0105 | 770.0 | 10780 | 2.8007 | {'f1': 0.8117302052785924} | {'accuracy': 0.6922339405560882} |
| 0.0105 | 771.0 | 10794 | 2.7913 | {'f1': 0.7854828256642903} | {'accuracy': 0.6826462128475551} |
| 0.0105 | 772.0 | 10808 | 2.7749 | {'f1': 0.7952261306532664} | {'accuracy': 0.6874400767018217} |
| 0.0105 | 773.0 | 10822 | 2.6552 | {'f1': 0.785070785070785} | {'accuracy': 0.6797698945349953} |
| 0.0105 | 774.0 | 10836 | 2.6299 | {'f1': 0.8019619865113428} | {'accuracy': 0.6903163950143816} |
| 0.0105 | 775.0 | 10850 | 2.7487 | {'f1': 0.7942464040025017} | {'accuracy': 0.6845637583892618} |
| 0.0105 | 776.0 | 10864 | 2.9020 | {'f1': 0.7610738255033558} | {'accuracy': 0.6586768935762224} |
| 0.0105 | 777.0 | 10878 | 3.0131 | {'f1': 0.8073941562313655} | {'accuracy': 0.6903163950143816} |
| 0.0105 | 778.0 | 10892 | 2.9169 | {'f1': 0.7989981214777709} | {'accuracy': 0.6922339405560882} |
| 0.0105 | 779.0 | 10906 | 2.9922 | {'f1': 0.7854828256642903} | {'accuracy': 0.6826462128475551} |
| 0.0105 | 780.0 | 10920 | 3.0236 | {'f1': 0.7816993464052286} | {'accuracy': 0.6797698945349953} |
| 0.0105 | 781.0 | 10934 | 3.0478 | {'f1': 0.7814136125654452} | {'accuracy': 0.6797698945349953} |
| 0.0105 | 782.0 | 10948 | 2.5096 | {'f1': 0.8061349693251534} | {'accuracy': 0.6970278044103547} |
| 0.0105 | 783.0 | 10962 | 2.4751 | {'f1': 0.8068251066422912} | {'accuracy': 0.6960690316395014} |
| 0.0105 | 784.0 | 10976 | 2.6269 | {'f1': 0.8051313378130727} | {'accuracy': 0.6941514860977949} |
| 0.0105 | 785.0 | 10990 | 2.7583 | {'f1': 0.8048929663608563} | {'accuracy': 0.6941514860977949} |
| 0.0125 | 786.0 | 11004 | 2.8499 | {'f1': 0.8041615667074663} | {'accuracy': 0.6931927133269415} |
| 0.0125 | 787.0 | 11018 | 2.9140 | {'f1': 0.8051470588235294} | {'accuracy': 0.6951102588686481} |
| 0.0125 | 788.0 | 11032 | 2.9646 | {'f1': 0.8051470588235294} | {'accuracy': 0.6951102588686481} |
| 0.0125 | 789.0 | 11046 | 3.0031 | {'f1': 0.8044144696505211} | {'accuracy': 0.6941514860977949} |
| 0.0125 | 790.0 | 11060 | 3.0342 | {'f1': 0.8044144696505211} | {'accuracy': 0.6941514860977949} |
| 0.0125 | 791.0 | 11074 | 3.0625 | {'f1': 0.8044144696505211} | {'accuracy': 0.6941514860977949} |
| 0.0125 | 792.0 | 11088 | 3.0898 | {'f1': 0.805402087170043} | {'accuracy': 0.6960690316395014} |
| 0.0125 | 793.0 | 11102 | 3.1069 | {'f1': 0.8046971569839309} | {'accuracy': 0.6970278044103547} |
| 0.0125 | 794.0 | 11116 | 3.1302 | {'f1': 0.8037151702786378} | {'accuracy': 0.6960690316395014} |
| 0.0125 | 795.0 | 11130 | 3.1525 | {'f1': 0.8039702233250621} | {'accuracy': 0.6970278044103547} |
| 0.0125 | 796.0 | 11144 | 3.1745 | {'f1': 0.8039702233250621} | {'accuracy': 0.6970278044103547} |
| 0.0125 | 797.0 | 11158 | 3.1942 | {'f1': 0.8044692737430168} | {'accuracy': 0.697986577181208} |
| 0.0125 | 798.0 | 11172 | 3.3614 | {'f1': 0.8155111633372504} | {'accuracy': 0.6989453499520614} |
| 0.0125 | 799.0 | 11186 | 3.1782 | {'f1': 0.8059149722735675} | {'accuracy': 0.697986577181208} |
| 0.0125 | 800.0 | 11200 | 3.2349 | {'f1': 0.7914032869785084} | {'accuracy': 0.6836049856184084} |
| 0.0125 | 801.0 | 11214 | 3.2522 | {'f1': 0.792884371029225} | {'accuracy': 0.6874400767018217} |
| 0.0125 | 802.0 | 11228 | 3.2506 | {'f1': 0.8144144144144144} | {'accuracy': 0.7037392138063279} |
| 0.0125 | 803.0 | 11242 | 3.2623 | {'f1': 0.8009888751545118} | {'accuracy': 0.6912751677852349} |
| 0.0125 | 804.0 | 11256 | 3.3890 | {'f1': 0.7697412076974122} | {'accuracy': 0.6673058485139022} |
| 0.0125 | 805.0 | 11270 | 3.2185 | {'f1': 0.8158673771462404} | {'accuracy': 0.7018216682646213} |
| 0.0125 | 806.0 | 11284 | 3.2061 | {'f1': 0.8144635447540012} | {'accuracy': 0.6999041227229147} |
| 0.0125 | 807.0 | 11298 | 3.2242 | {'f1': 0.8135391923990499} | {'accuracy': 0.6989453499520614} |
| 0.0125 | 808.0 | 11312 | 3.2463 | {'f1': 0.8133174791914387} | {'accuracy': 0.6989453499520614} |
| 0.0125 | 809.0 | 11326 | 3.2673 | {'f1': 0.8130952380952382} | {'accuracy': 0.6989453499520614} |
| 0.0125 | 810.0 | 11340 | 3.3456 | {'f1': 0.8145968216597999} | {'accuracy': 0.697986577181208} |
| 0.0125 | 811.0 | 11354 | 3.5935 | {'f1': 0.6806853582554517} | {'accuracy': 0.6069031639501438} |
| 0.0125 | 812.0 | 11368 | 3.1911 | {'f1': 0.8133022170361727} | {'accuracy': 0.6931927133269415} |
| 0.0125 | 813.0 | 11382 | 2.2296 | {'f1': 0.8026960784313726} | {'accuracy': 0.6912751677852349} |
| 0.0125 | 814.0 | 11396 | 2.1487 | {'f1': 0.8034610630407911} | {'accuracy': 0.6951102588686481} |
| 0.0125 | 815.0 | 11410 | 2.4580 | {'f1': 0.8057726999398676} | {'accuracy': 0.6903163950143816} |
| 0.0125 | 816.0 | 11424 | 2.6031 | {'f1': 0.8051313378130727} | {'accuracy': 0.6941514860977949} |
| 0.0125 | 817.0 | 11438 | 2.7477 | {'f1': 0.7960199004975124} | {'accuracy': 0.6855225311601151} |
| 0.0125 | 818.0 | 11452 | 2.8351 | {'f1': 0.7947598253275109} | {'accuracy': 0.6845637583892618} |
| 0.0125 | 819.0 | 11466 | 2.8920 | {'f1': 0.7940074906367042} | {'accuracy': 0.6836049856184084} |
| 0.0125 | 820.0 | 11480 | 2.9387 | {'f1': 0.7932542161149281} | {'accuracy': 0.6826462128475551} |
| 0.0125 | 821.0 | 11494 | 2.9772 | {'f1': 0.7925} | {'accuracy': 0.6816874400767018} |
| 0.0096 | 822.0 | 11508 | 3.0117 | {'f1': 0.7925} | {'accuracy': 0.6816874400767018} |
| 0.0096 | 823.0 | 11522 | 3.0435 | {'f1': 0.7925} | {'accuracy': 0.6816874400767018} |
| 0.0096 | 824.0 | 11536 | 3.0739 | {'f1': 0.7925} | {'accuracy': 0.6816874400767018} |
| 0.0096 | 825.0 | 11550 | 3.1028 | {'f1': 0.7925} | {'accuracy': 0.6816874400767018} |
| 0.0096 | 826.0 | 11564 | 3.1284 | {'f1': 0.7925} | {'accuracy': 0.6816874400767018} |
| 0.0096 | 827.0 | 11578 | 3.1520 | {'f1': 0.7925} | {'accuracy': 0.6816874400767018} |
| 0.0096 | 828.0 | 11592 | 3.1731 | {'f1': 0.7925} | {'accuracy': 0.6816874400767018} |
| 0.0096 | 829.0 | 11606 | 3.1937 | {'f1': 0.7925} | {'accuracy': 0.6816874400767018} |
| 0.0096 | 830.0 | 11620 | 3.2123 | {'f1': 0.7925} | {'accuracy': 0.6816874400767018} |
| 0.0096 | 831.0 | 11634 | 3.2317 | {'f1': 0.7940074906367042} | {'accuracy': 0.6836049856184084} |
| 0.0096 | 832.0 | 11648 | 3.2467 | {'f1': 0.7947598253275109} | {'accuracy': 0.6845637583892618} |
| 0.0096 | 833.0 | 11662 | 3.2533 | {'f1': 0.795765877957659} | {'accuracy': 0.6855225311601151} |
| 0.0096 | 834.0 | 11676 | 2.1618 | {'f1': 0.7824967824967826} | {'accuracy': 0.675934803451582} |
| 0.0096 | 835.0 | 11690 | 2.2790 | {'f1': 0.7832797427652733} | {'accuracy': 0.6768935762224353} |
| 0.0096 | 836.0 | 11704 | 2.4668 | {'f1': 0.8102189781021897} | {'accuracy': 0.700862895493768} |
| 0.0096 | 837.0 | 11718 | 2.6944 | {'f1': 0.7967781908302354} | {'accuracy': 0.6855225311601151} |
| 0.0096 | 838.0 | 11732 | 3.1190 | {'f1': 0.7285613040396882} | {'accuracy': 0.6327900287631831} |
| 0.0096 | 839.0 | 11746 | 2.6049 | {'f1': 0.8101714961561206} | {'accuracy': 0.6922339405560882} |
| 0.0096 | 840.0 | 11760 | 2.4138 | {'f1': 0.7814313346228239} | {'accuracy': 0.6749760306807286} |
| 0.0096 | 841.0 | 11774 | 2.5248 | {'f1': 0.7666232073011733} | {'accuracy': 0.6567593480345159} |
| 0.0096 | 842.0 | 11788 | 2.6201 | {'f1': 0.7840909090909092} | {'accuracy': 0.6720997123681688} |
| 0.0096 | 843.0 | 11802 | 2.7947 | {'f1': 0.7738172391445236} | {'accuracy': 0.6653883029721956} |
| 0.0096 | 844.0 | 11816 | 2.8672 | {'f1': 0.7685123415610408} | {'accuracy': 0.6673058485139022} |
The model card is truncated. Read the rest on Hugging Face.
- License
- apache-2.0
- Created
- Oct 15, 2023
- Updated
- Oct 15, 2023