pytorch generated_from_trainer license:apache-2.0 region:us
---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: bert-base-uncased-test_2_1000
  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_2_1000

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4610
- F1: {'f1': 0.8997668997668997}
- Accuracy: {'accuracy': 0.8968}

## 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: 0.0001
- 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: 500

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1                         | Accuracy             |
|:-------------:|:-----:|:-----:|:---------------:|:--------------------------:|:--------------------:|
| No log        | 1.0   | 63    | 0.6391          | {'f1': 0.6503930492345883} | {'accuracy': 0.662}  |
| No log        | 2.0   | 126   | 0.4130          | {'f1': 0.8169452001554606} | {'accuracy': 0.8116} |
| No log        | 3.0   | 189   | 0.3583          | {'f1': 0.8627889634601043} | {'accuracy': 0.8528} |
| No log        | 4.0   | 252   | 0.3703          | {'f1': 0.8339869281045752} | {'accuracy': 0.8476} |
| No log        | 5.0   | 315   | 0.3199          | {'f1': 0.8757812500000001} | {'accuracy': 0.8728} |
| No log        | 6.0   | 378   | 0.3347          | {'f1': 0.8809710258418166} | {'accuracy': 0.8784} |
| No log        | 7.0   | 441   | 0.3409          | {'f1': 0.8823993685872139} | {'accuracy': 0.8808} |
| 0.3461        | 8.0   | 504   | 0.3439          | {'f1': 0.8810572687224669} | {'accuracy': 0.8812} |
| 0.3461        | 9.0   | 567   | 0.3696          | {'f1': 0.8848106208512301} | {'accuracy': 0.882}  |
| 0.3461        | 10.0  | 630   | 0.3782          | {'f1': 0.8891537544696066} | {'accuracy': 0.8884} |
| 0.3461        | 11.0  | 693   | 0.4324          | {'f1': 0.8825448613376835} | {'accuracy': 0.8848} |
| 0.3461        | 12.0  | 756   | 0.4460          | {'f1': 0.8929276965626235} | {'accuracy': 0.8916} |
| 0.3461        | 13.0  | 819   | 0.4796          | {'f1': 0.8898678414096918} | {'accuracy': 0.89}   |
| 0.3461        | 14.0  | 882   | 0.4878          | {'f1': 0.8905630452022205} | {'accuracy': 0.8896} |
| 0.3461        | 15.0  | 945   | 0.5118          | {'f1': 0.8919888401753687} | {'accuracy': 0.8916} |
| 0.1074        | 16.0  | 1008  | 0.5677          | {'f1': 0.8877975066112579} | {'accuracy': 0.8812} |
| 0.1074        | 17.0  | 1071  | 0.5654          | {'f1': 0.8932270916334661} | {'accuracy': 0.8928} |
| 0.1074        | 18.0  | 1134  | 0.6581          | {'f1': 0.8865671641791045} | {'accuracy': 0.8784} |
| 0.1074        | 19.0  | 1197  | 0.6107          | {'f1': 0.8948194662480377} | {'accuracy': 0.8928} |
| 0.1074        | 20.0  | 1260  | 0.7440          | {'f1': 0.8747913188647746} | {'accuracy': 0.88}   |
| 0.1074        | 21.0  | 1323  | 0.6414          | {'f1': 0.8981662114709325} | {'accuracy': 0.8956} |
| 0.1074        | 22.0  | 1386  | 0.7005          | {'f1': 0.8905168905168905} | {'accuracy': 0.8924} |
| 0.1074        | 23.0  | 1449  | 0.6756          | {'f1': 0.8960490985807441} | {'accuracy': 0.8916} |
| 0.0366        | 24.0  | 1512  | 0.6751          | {'f1': 0.8974854932301741} | {'accuracy': 0.894}  |
| 0.0366        | 25.0  | 1575  | 0.6686          | {'f1': 0.9018691588785047} | {'accuracy': 0.8992} |
| 0.0366        | 26.0  | 1638  | 0.7207          | {'f1': 0.8952234206471495} | {'accuracy': 0.8912} |
| 0.0366        | 27.0  | 1701  | 0.7898          | {'f1': 0.8830313014827018} | {'accuracy': 0.8864} |
| 0.0366        | 28.0  | 1764  | 0.7543          | {'f1': 0.8958083832335328} | {'accuracy': 0.8956} |
| 0.0366        | 29.0  | 1827  | 0.8158          | {'f1': 0.8938759984785091} | {'accuracy': 0.8884} |
| 0.0366        | 30.0  | 1890  | 0.7586          | {'f1': 0.8958818958818958} | {'accuracy': 0.8928} |
| 0.0366        | 31.0  | 1953  | 0.7801          | {'f1': 0.8900398406374502} | {'accuracy': 0.8896} |
| 0.0163        | 32.0  | 2016  | 0.8027          | {'f1': 0.8953674121405752} | {'accuracy': 0.8952} |
| 0.0163        | 33.0  | 2079  | 0.8411          | {'f1': 0.8894817073170732} | {'accuracy': 0.884}  |
| 0.0163        | 34.0  | 2142  | 0.8420          | {'f1': 0.8962300816167897} | {'accuracy': 0.8932} |
| 0.0163        | 35.0  | 2205  | 0.8386          | {'f1': 0.899607843137255}  | {'accuracy': 0.8976} |
| 0.0163        | 36.0  | 2268  | 0.8562          | {'f1': 0.8937373737373737} | {'accuracy': 0.8948} |
| 0.0163        | 37.0  | 2331  | 0.8530          | {'f1': 0.8959491660047657} | {'accuracy': 0.8952} |
| 0.0163        | 38.0  | 2394  | 0.9108          | {'f1': 0.8944381384790012} | {'accuracy': 0.8884} |
| 0.0163        | 39.0  | 2457  | 0.8615          | {'f1': 0.8949663099484741} | {'accuracy': 0.894}  |
| 0.0049        | 40.0  | 2520  | 0.9041          | {'f1': 0.8956022944550669} | {'accuracy': 0.8908} |
| 0.0049        | 41.0  | 2583  | 0.8908          | {'f1': 0.895615056266977}  | {'accuracy': 0.8924} |
| 0.0049        | 42.0  | 2646  | 0.9507          | {'f1': 0.8858895705521472} | {'accuracy': 0.8884} |
| 0.0049        | 43.0  | 2709  | 0.9089          | {'f1': 0.89921875}         | {'accuracy': 0.8968} |
| 0.0049        | 44.0  | 2772  | 0.9126          | {'f1': 0.8977361436377831} | {'accuracy': 0.8952} |
| 0.0049        | 45.0  | 2835  | 0.9296          | {'f1': 0.8942695722356738} | {'accuracy': 0.8952} |
| 0.0049        | 46.0  | 2898  | 0.9613          | {'f1': 0.894736842105263}  | {'accuracy': 0.8896} |
| 0.0049        | 47.0  | 2961  | 0.9581          | {'f1': 0.8968713789107763} | {'accuracy': 0.8932} |
| 0.0028        | 48.0  | 3024  | 0.9723          | {'f1': 0.8982318271119842} | {'accuracy': 0.8964} |
| 0.0028        | 49.0  | 3087  | 0.9448          | {'f1': 0.8972254787026182} | {'accuracy': 0.8948} |
| 0.0028        | 50.0  | 3150  | 0.9594          | {'f1': 0.8954758190327613} | {'accuracy': 0.8928} |
| 0.0028        | 51.0  | 3213  | 0.9644          | {'f1': 0.8925956061838893} | {'accuracy': 0.8944} |
| 0.0028        | 52.0  | 3276  | 1.0120          | {'f1': 0.8933893771494076} | {'accuracy': 0.8884} |
| 0.0028        | 53.0  | 3339  | 1.0214          | {'f1': 0.8908117016893284} | {'accuracy': 0.894}  |
| 0.0028        | 54.0  | 3402  | 0.9771          | {'f1': 0.8966588966588968} | {'accuracy': 0.8936} |
| 0.0028        | 55.0  | 3465  | 0.9867          | {'f1': 0.8975180144115293} | {'accuracy': 0.8976} |
| 0.0106        | 56.0  | 3528  | 1.0040          | {'f1': 0.8982371794871795} | {'accuracy': 0.8984} |
| 0.0106        | 57.0  | 3591  | 0.9824          | {'f1': 0.8942006269592476} | {'accuracy': 0.892}  |
| 0.0106        | 58.0  | 3654  | 1.0175          | {'f1': 0.8932190179267343} | {'accuracy': 0.8904} |
| 0.0106        | 59.0  | 3717  | 0.9887          | {'f1': 0.8977361436377831} | {'accuracy': 0.8952} |
| 0.0106        | 60.0  | 3780  | 1.2662          | {'f1': 0.8786885245901639} | {'accuracy': 0.8668} |
| 0.0106        | 61.0  | 3843  | 1.0422          | {'f1': 0.8906882591093117} | {'accuracy': 0.892}  |
| 0.0106        | 62.0  | 3906  | 1.0669          | {'f1': 0.8898208158597025} | {'accuracy': 0.8844} |
| 0.0106        | 63.0  | 3969  | 1.0097          | {'f1': 0.8998482549317147} | {'accuracy': 0.8944} |
| 0.0135        | 64.0  | 4032  | 0.9358          | {'f1': 0.8980224893369523} | {'accuracy': 0.8948} |
| 0.0135        | 65.0  | 4095  | 0.9722          | {'f1': 0.9009287925696595} | {'accuracy': 0.8976} |
| 0.0135        | 66.0  | 4158  | 1.0900          | {'f1': 0.8904672897196262} | {'accuracy': 0.8828} |
| 0.0135        | 67.0  | 4221  | 1.1846          | {'f1': 0.8727735368956743} | {'accuracy': 0.88}   |
| 0.0135        | 68.0  | 4284  | 1.0357          | {'f1': 0.8887077048512027} | {'accuracy': 0.8908} |
| 0.0135        | 69.0  | 4347  | 1.1368          | {'f1': 0.8869113830181683} | {'accuracy': 0.878}  |
| 0.0135        | 70.0  | 4410  | 0.9984          | {'f1': 0.8957836117740653} | {'accuracy': 0.8952} |
| 0.0135        | 71.0  | 4473  | 1.0332          | {'f1': 0.8924302788844621} | {'accuracy': 0.892}  |
| 0.0049        | 72.0  | 4536  | 1.0703          | {'f1': 0.8883809523809523} | {'accuracy': 0.8828} |
| 0.0049        | 73.0  | 4599  | 1.1153          | {'f1': 0.8913125235050771} | {'accuracy': 0.8844} |
| 0.0049        | 74.0  | 4662  | 1.0695          | {'f1': 0.8971820258948972} | {'accuracy': 0.892}  |
| 0.0049        | 75.0  | 4725  | 1.0327          | {'f1': 0.8959875340864822} | {'accuracy': 0.8932} |
| 0.0049        | 76.0  | 4788  | 1.0359          | {'f1': 0.8995327102803738} | {'accuracy': 0.8968} |
| 0.0049        | 77.0  | 4851  | 1.1397          | {'f1': 0.8919330289193302} | {'accuracy': 0.8864} |
| 0.0049        | 78.0  | 4914  | 1.0799          | {'f1': 0.8905453118870146} | {'accuracy': 0.8884} |
| 0.0049        | 79.0  | 4977  | 1.1109          | {'f1': 0.8918918918918918} | {'accuracy': 0.888}  |
| 0.0045        | 80.0  | 5040  | 1.1067          | {'f1': 0.8906851424172441} | {'accuracy': 0.8864} |
| 0.0045        | 81.0  | 5103  | 1.0877          | {'f1': 0.8940055577610163} | {'accuracy': 0.8932} |
| 0.0045        | 82.0  | 5166  | 1.1170          | {'f1': 0.8876221498371335} | {'accuracy': 0.8896} |
| 0.0045        | 83.0  | 5229  | 1.1236          | {'f1': 0.8926940639269406} | {'accuracy': 0.8872} |
| 0.0045        | 84.0  | 5292  | 1.0894          | {'f1': 0.892651019622932}  | {'accuracy': 0.8884} |
| 0.0045        | 85.0  | 5355  | 1.0890          | {'f1': 0.8936825885978429} | {'accuracy': 0.8896} |
| 0.0045        | 86.0  | 5418  | 1.0614          | {'f1': 0.8964974419519874} | {'accuracy': 0.8948} |
| 0.0045        | 87.0  | 5481  | 1.1658          | {'f1': 0.8847583643122676} | {'accuracy': 0.8884} |
| 0.0025        | 88.0  | 5544  | 1.1107          | {'f1': 0.8904333605887164} | {'accuracy': 0.8928} |
| 0.0025        | 89.0  | 5607  | 1.1438          | {'f1': 0.8873771730914589} | {'accuracy': 0.8808} |
| 0.0025        | 90.0  | 5670  | 0.9925          | {'f1': 0.8984251968503937} | {'accuracy': 0.8968} |
| 0.0025        | 91.0  | 5733  | 0.9887          | {'f1': 0.8971098265895954} | {'accuracy': 0.8932} |
| 0.0025        | 92.0  | 5796  | 1.0241          | {'f1': 0.8888888888888887} | {'accuracy': 0.888}  |
| 0.0025        | 93.0  | 5859  | 1.2746          | {'f1': 0.8829160530191459} | {'accuracy': 0.8728} |
| 0.0025        | 94.0  | 5922  | 1.0502          | {'f1': 0.8964686998394863} | {'accuracy': 0.8968} |
| 0.0025        | 95.0  | 5985  | 1.1087          | {'f1': 0.8886148787505137} | {'accuracy': 0.8916} |
| 0.0084        | 96.0  | 6048  | 1.2064          | {'f1': 0.885273258239466}  | {'accuracy': 0.89}   |
| 0.0084        | 97.0  | 6111  | 1.0969          | {'f1': 0.8986852281515855} | {'accuracy': 0.8952} |
| 0.0084        | 98.0  | 6174  | 1.1267          | {'f1': 0.8960739030023094} | {'accuracy': 0.892}  |
| 0.0084        | 99.0  | 6237  | 1.1098          | {'f1': 0.897625535227715}  | {'accuracy': 0.8948} |
| 0.0084        | 100.0 | 6300  | 1.0892          | {'f1': 0.8999199359487591} | {'accuracy': 0.9}    |
| 0.0084        | 101.0 | 6363  | 1.2852          | {'f1': 0.8869951834012597} | {'accuracy': 0.878}  |
| 0.0084        | 102.0 | 6426  | 1.1348          | {'f1': 0.8925869894099848} | {'accuracy': 0.8864} |
| 0.0084        | 103.0 | 6489  | 1.1357          | {'f1': 0.8972602739726027} | {'accuracy': 0.892}  |
| 0.0038        | 104.0 | 6552  | 1.0627          | {'f1': 0.899266692396758}  | {'accuracy': 0.8956} |
| 0.0038        | 105.0 | 6615  | 1.1244          | {'f1': 0.8947566955865711} | {'accuracy': 0.8884} |
| 0.0038        | 106.0 | 6678  | 1.0451          | {'f1': 0.9015181004281821} | {'accuracy': 0.8988} |
| 0.0038        | 107.0 | 6741  | 1.0424          | {'f1': 0.9019914096056229} | {'accuracy': 0.8996} |
| 0.0038        | 108.0 | 6804  | 1.3424          | {'f1': 0.8836869056327726} | {'accuracy': 0.8728} |
| 0.0038        | 109.0 | 6867  | 0.9600          | {'f1': 0.8899876390605687} | {'accuracy': 0.8932} |
| 0.0038        | 110.0 | 6930  | 0.9558          | {'f1': 0.8953263808420239} | {'accuracy': 0.8916} |
| 0.0038        | 111.0 | 6993  | 0.9831          | {'f1': 0.9020230067433558} | {'accuracy': 0.9012} |
| 0.0131        | 112.0 | 7056  | 1.0165          | {'f1': 0.8948995363214837} | {'accuracy': 0.8912} |
| 0.0131        | 113.0 | 7119  | 1.0627          | {'f1': 0.8917925683952633} | {'accuracy': 0.894}  |
| 0.0131        | 114.0 | 7182  | 1.0546          | {'f1': 0.8974854932301741} | {'accuracy': 0.894}  |
| 0.0131        | 115.0 | 7245  | 1.0036          | {'f1': 0.9014195583596215} | {'accuracy': 0.9}    |
| 0.0131        | 116.0 | 7308  | 1.0108          | {'f1': 0.8992609879424348} | {'accuracy': 0.8964} |
| 0.0131        | 117.0 | 7371  | 1.0130          | {'f1': 0.8993392926544889} | {'accuracy': 0.8964} |
| 0.0131        | 118.0 | 7434  | 1.0153          | {'f1': 0.9045383411580593} | {'accuracy': 0.9024} |
| 0.0131        | 119.0 | 7497  | 0.9937          | {'f1': 0.9042386185243328} | {'accuracy': 0.9024} |
| 0.0019        | 120.0 | 7560  | 1.0257          | {'f1': 0.8997310795236265} | {'accuracy': 0.8956} |
| 0.0019        | 121.0 | 7623  | 1.0452          | {'f1': 0.9006163328197226} | {'accuracy': 0.8968} |
| 0.0019        | 122.0 | 7686  | 1.0803          | {'f1': 0.8987390141383262} | {'accuracy': 0.894}  |
| 0.0019        | 123.0 | 7749  | 1.0830          | {'f1': 0.8982402448355011} | {'accuracy': 0.8936} |
| 0.0019        | 124.0 | 7812  | 1.0769          | {'f1': 0.8994627782041443} | {'accuracy': 0.8952} |
| 0.0019        | 125.0 | 7875  | 1.0732          | {'f1': 0.9004994237418363} | {'accuracy': 0.8964} |
| 0.0019        | 126.0 | 7938  | 1.0907          | {'f1': 0.897709923664122}  | {'accuracy': 0.8928} |
| 0.0015        | 127.0 | 8001  | 1.0586          | {'f1': 0.9000385951370128} | {'accuracy': 0.8964} |
| 0.0015        | 128.0 | 8064  | 1.1171          | {'f1': 0.8921689216892169} | {'accuracy': 0.8948} |
| 0.0015        | 129.0 | 8127  | 1.0571          | {'f1': 0.8964127367996775} | {'accuracy': 0.8972} |
| 0.0015        | 130.0 | 8190  | 1.1986          | {'f1': 0.8960546282245827} | {'accuracy': 0.8904} |
| 0.0015        | 131.0 | 8253  | 1.7163          | {'f1': 0.8677361853832442} | {'accuracy': 0.8516} |
| 0.0015        | 132.0 | 8316  | 1.1918          | {'f1': 0.8963929393706831} | {'accuracy': 0.892}  |
| 0.0015        | 133.0 | 8379  | 1.1048          | {'f1': 0.8983050847457626} | {'accuracy': 0.8992} |
| 0.0015        | 134.0 | 8442  | 1.2585          | {'f1': 0.8794926004228331} | {'accuracy': 0.886}  |
| 0.0054        | 135.0 | 8505  | 1.1483          | {'f1': 0.8942229454841335} | {'accuracy': 0.896}  |
| 0.0054        | 136.0 | 8568  | 1.1223          | {'f1': 0.8962558502340094} | {'accuracy': 0.8936} |
| 0.0054        | 137.0 | 8631  | 1.1952          | {'f1': 0.899236641221374}  | {'accuracy': 0.8944} |
| 0.0054        | 138.0 | 8694  | 1.1595          | {'f1': 0.9013107170393215} | {'accuracy': 0.8976} |
| 0.0054        | 139.0 | 8757  | 1.1580          | {'f1': 0.900611620795107}  | {'accuracy': 0.896}  |
| 0.0054        | 140.0 | 8820  | 1.1509          | {'f1': 0.9002302379125094} | {'accuracy': 0.896}  |
| 0.0054        | 141.0 | 8883  | 1.1632          | {'f1': 0.8997686969930608} | {'accuracy': 0.896}  |
| 0.0054        | 142.0 | 8946  | 1.3198          | {'f1': 0.8982035928143713} | {'accuracy': 0.8912} |
| 0.0068        | 143.0 | 9009  | 1.1653          | {'f1': 0.89860535243121}   | {'accuracy': 0.8924} |
| 0.0068        | 144.0 | 9072  | 1.1224          | {'f1': 0.8996566196108357} | {'accuracy': 0.8948} |
| 0.0068        | 145.0 | 9135  | 1.1151          | {'f1': 0.8990053557765876} | {'accuracy': 0.8944} |
| 0.0068        | 146.0 | 9198  | 1.1623          | {'f1': 0.8887036265110463} | {'accuracy': 0.8932} |
| 0.0068        | 147.0 | 9261  | 1.0910          | {'f1': 0.8955582232893158} | {'accuracy': 0.8956} |
| 0.0068        | 148.0 | 9324  | 1.0941          | {'f1': 0.8952837729816147} | {'accuracy': 0.8952} |
| 0.0068        | 149.0 | 9387  | 1.1096          | {'f1': 0.8960063266113089} | {'accuracy': 0.8948} |
| 0.0068        | 150.0 | 9450  | 1.1112          | {'f1': 0.8960063266113089} | {'accuracy': 0.8948} |
| 0.0009        | 151.0 | 9513  | 1.1133          | {'f1': 0.8963607594936709} | {'accuracy': 0.8952} |
| 0.0009        | 152.0 | 9576  | 1.1185          | {'f1': 0.8973954222573007} | {'accuracy': 0.896}  |
| 0.0009        | 153.0 | 9639  | 1.1276          | {'f1': 0.8983915260886622} | {'accuracy': 0.8964} |
| 0.0009        | 154.0 | 9702  | 1.0736          | {'f1': 0.8979753870583566} | {'accuracy': 0.8972} |
| 0.0009        | 155.0 | 9765  | 1.1090          | {'f1': 0.8929011079195732} | {'accuracy': 0.8956} |
| 0.0009        | 156.0 | 9828  | 1.1977          | {'f1': 0.8971036585365852} | {'accuracy': 0.892}  |
| 0.0009        | 157.0 | 9891  | 1.1388          | {'f1': 0.8963317384370016} | {'accuracy': 0.896}  |
| 0.0009        | 158.0 | 9954  | 1.1264          | {'f1': 0.8970528865563181} | {'accuracy': 0.898}  |
| 0.0045        | 159.0 | 10017 | 1.1199          | {'f1': 0.8945483485873458} | {'accuracy': 0.894}  |
| 0.0045        | 160.0 | 10080 | 1.1508          | {'f1': 0.9002759164367363} | {'accuracy': 0.8988} |
| 0.0045        | 161.0 | 10143 | 1.1578          | {'f1': 0.9007572738142686} | {'accuracy': 0.9004} |
| 0.0045        | 162.0 | 10206 | 1.1629          | {'f1': 0.9019762845849801} | {'accuracy': 0.9008} |
| 0.0045        | 163.0 | 10269 | 1.1723          | {'f1': 0.901821060965954}  | {'accuracy': 0.9008} |
| 0.0045        | 164.0 | 10332 | 1.0742          | {'f1': 0.8987885892926926} | {'accuracy': 0.8964} |
| 0.0045        | 165.0 | 10395 | 1.0640          | {'f1': 0.8964159117762899} | {'accuracy': 0.8948} |
| 0.0045        | 166.0 | 10458 | 1.0580          | {'f1': 0.8969601263324122} | {'accuracy': 0.8956} |
| 0.0039        | 167.0 | 10521 | 1.0604          | {'f1': 0.8972332015810278} | {'accuracy': 0.896}  |
| 0.0039        | 168.0 | 10584 | 1.0631          | {'f1': 0.8973954222573007} | {'accuracy': 0.896}  |
| 0.0039        | 169.0 | 10647 | 1.1243          | {'f1': 0.8875205254515598} | {'accuracy': 0.8904} |
| 0.0039        | 170.0 | 10710 | 1.1319          | {'f1': 0.8882521489971348} | {'accuracy': 0.8908} |
| 0.0039        | 171.0 | 10773 | 1.0792          | {'f1': 0.8981191222570533} | {'accuracy': 0.896}  |
| 0.0039        | 172.0 | 10836 | 1.0852          | {'f1': 0.9002338269680438} | {'accuracy': 0.8976} |
| 0.0039        | 173.0 | 10899 | 1.1632          | {'f1': 0.9000757002271007} | {'accuracy': 0.8944} |
| 0.0039        | 174.0 | 10962 | 1.1744          | {'f1': 0.8983505945531262} | {'accuracy': 0.894}  |
| 0.0002        | 175.0 | 11025 | 1.3889          | {'f1': 0.8917716827279467} | {'accuracy': 0.8832} |
| 0.0002        | 176.0 | 11088 | 1.3635          | {'f1': 0.8935532233883059} | {'accuracy': 0.8864} |
| 0.0002        | 177.0 | 11151 | 1.3682          | {'f1': 0.8956228956228955} | {'accuracy': 0.8884} |
| 0.0002        | 178.0 | 11214 | 1.2081          | {'f1': 0.9003544702638834} | {'accuracy': 0.8988} |
| 0.0002        | 179.0 | 11277 | 1.2294          | {'f1': 0.8994875837603469} | {'accuracy': 0.898}  |
| 0.0002        | 180.0 | 11340 | 1.2316          | {'f1': 0.8994875837603469} | {'accuracy': 0.898}  |
| 0.0002        | 181.0 | 11403 | 1.2324          | {'f1': 0.8994875837603469} | {'accuracy': 0.898}  |
| 0.0002        | 182.0 | 11466 | 1.2332          | {'f1': 0.8994875837603469} | {'accuracy': 0.898}  |
| 0.0015        | 183.0 | 11529 | 1.2340          | {'f1': 0.8994875837603469} | {'accuracy': 0.898}  |
| 0.0015        | 184.0 | 11592 | 1.2357          | {'f1': 0.8999211977935383} | {'accuracy': 0.8984} |
| 0.0015        | 185.0 | 11655 | 1.2370          | {'f1': 0.9003544702638834} | {'accuracy': 0.8988} |
| 0.0015        | 186.0 | 11718 | 1.2666          | {'f1': 0.8931726907630522} | {'accuracy': 0.8936} |
| 0.0015        | 187.0 | 11781 | 1.2672          | {'f1': 0.8959491660047657} | {'accuracy': 0.8952} |
| 0.0015        | 188.0 | 11844 | 1.2682          | {'f1': 0.8963874553394204} | {'accuracy': 0.8956} |
| 0.0015        | 189.0 | 11907 | 1.1723          | {'f1': 0.8959421454399357} | {'accuracy': 0.8964} |
| 0.0015        | 190.0 | 11970 | 1.2214          | {'f1': 0.8963946869070208} | {'accuracy': 0.8908} |
| 0.0043        | 191.0 | 12033 | 1.1003          | {'f1': 0.8984615384615385} | {'accuracy': 0.8944} |
| 0.0043        | 192.0 | 12096 | 1.0745          | {'f1': 0.8937178980640064} | {'accuracy': 0.8924} |
| 0.0043        | 193.0 | 12159 | 1.0819          | {'f1': 0.8964974419519874} | {'accuracy': 0.8948} |
| 0.0043        | 194.0 | 12222 | 1.0904          | {'f1': 0.8968503937007873} | {'accuracy': 0.8952} |
| 0.0043        | 195.0 | 12285 | 1.1178          | {'f1': 0.892614770459082}  | {'accuracy': 0.8924} |
| 0.0043        | 196.0 | 12348 | 1.3307          | {'f1': 0.8752660706683695} | {'accuracy': 0.8828} |
| 0.0043        | 197.0 | 12411 | 1.3117          | {'f1': 0.8855472013366751} | {'accuracy': 0.8904} |
| 0.0043        | 198.0 | 12474 | 1.1898          | {'f1': 0.8973266175900814} | {'accuracy': 0.894}  |
| 0.0018        | 199.0 | 12537 | 1.1903          | {'f1': 0.8983708301008533} | {'accuracy': 0.8952} |
| 0.0018        | 200.0 | 12600 | 1.1929          | {'f1': 0.8983708301008533} | {'accuracy': 0.8952} |
| 0.0018        | 201.0 | 12663 | 1.1919          | {'f1': 0.8989898989898989} | {'accuracy': 0.896}  |
| 0.0018        | 202.0 | 12726 | 1.1917          | {'f1': 0.9000388953714509} | {'accuracy': 0.8972} |
| 0.0018        | 203.0 | 12789 | 1.1926          | {'f1': 0.9000388953714509} | {'accuracy': 0.8972} |
| 0.0018        | 204.0 | 12852 | 1.3649          | {'f1': 0.8779045204900717} | {'accuracy': 0.8844} |
| 0.0018        | 205.0 | 12915 | 1.1918          | {'f1': 0.8979433449747769} | {'accuracy': 0.8948} |
| 0.0018        | 206.0 | 12978 | 1.1844          | {'f1': 0.9003921568627452} | {'accuracy': 0.8984} |
| 0.0019        | 207.0 | 13041 | 1.2005          | {'f1': 0.905464698843239}  | {'accuracy': 0.9052} |
| 0.0019        | 208.0 | 13104 | 1.0869          | {'f1': 0.8976951071572988} | {'accuracy': 0.8988} |
| 0.0019        | 209.0 | 13167 | 1.0949          | {'f1': 0.9026754556029468} | {'accuracy': 0.8996} |
| 0.0019        | 210.0 | 13230 | 1.3787          | {'f1': 0.8722768047842803} | {'accuracy': 0.8804} |
| 0.0019        | 211.0 | 13293 | 1.2834          | {'f1': 0.895317853064332}  | {'accuracy': 0.89}   |
| 0.0019        | 212.0 | 13356 | 1.2741          | {'f1': 0.8972890416189385} | {'accuracy': 0.8924} |
| 0.0019        | 213.0 | 13419 | 1.0350          | {'f1': 0.9022852639873916} | {'accuracy': 0.9008} |
| 0.0019        | 214.0 | 13482 | 1.2138          | {'f1': 0.8901262063845583} | {'accuracy': 0.8816} |
| 0.0058        | 215.0 | 13545 | 1.2408          | {'f1': 0.8911185432924565} | {'accuracy': 0.8828} |
| 0.0058        | 216.0 | 13608 | 1.0741          | {'f1': 0.9055555555555556} | {'accuracy': 0.9048} |
| 0.0058        | 217.0 | 13671 | 1.0740          | {'f1': 0.9055709205847491} | {'accuracy': 0.9044} |
| 0.0058        | 218.0 | 13734 | 1.0769          | {'f1': 0.9052132701421801} | {'accuracy': 0.904}  |
| 0.0058        | 219.0 | 13797 | 1.0968          | {'f1': 0.9034317637669593} | {'accuracy': 0.9032} |
| 0.0058        | 220.0 | 13860 | 1.0977          | {'f1': 0.903945795137505}  | {'accuracy': 0.9036} |
| 0.0058        | 221.0 | 13923 | 1.0980          | {'f1': 0.9056904098686828} | {'accuracy': 0.9052} |
| 0.0058        | 222.0 | 13986 | 1.1077          | {'f1': 0.9035087719298245} | {'accuracy': 0.9032} |
| 0.001         | 223.0 | 14049 | 1.0435          | {'f1': 0.8963893249607534} | {'accuracy': 0.8944} |
| 0.001         | 224.0 | 14112 | 1.0418          | {'f1': 0.8964159117762899} | {'accuracy': 0.8948} |
| 0.001         | 225.0 | 14175 | 1.0516          | {'f1': 0.8967691095350669} | {'accuracy': 0.8952} |
| 0.001         | 226.0 | 14238 | 1.0587          | {'f1': 0.8983117393011385} | {'accuracy': 0.8964} |
| 0.001         | 227.0 | 14301 | 1.0687          | {'f1': 0.9002737583105201} | {'accuracy': 0.898}  |
| 0.001         | 228.0 | 14364 | 1.0757          | {'f1': 0.9007036747458953} | {'accuracy': 0.8984} |
| 0.001         | 229.0 | 14427 | 1.0818          | {'f1': 0.9008587041373927} | {'accuracy': 0.8984} |
| 0.001         | 230.0 | 14490 | 1.0890          | {'f1': 0.9017926734216679} | {'accuracy': 0.8992} |
| 0.0009        | 231.0 | 14553 | 1.0945          | {'f1': 0.9017926734216679} | {'accuracy': 0.8992} |
| 0.0009        | 232.0 | 14616 | 1.1021          | {'f1': 0.9019455252918289} | {'accuracy': 0.8992} |
| 0.0009        | 233.0 | 14679 | 1.1106          | {'f1': 0.9024485036921881} | {'accuracy': 0.8996} |
| 0.0009        | 234.0 | 14742 | 1.1072          | {'f1': 0.9022204908453448} | {'accuracy': 0.8996} |
| 0.0009        | 235.0 | 14805 | 1.1113          | {'f1': 0.9022204908453448} | {'accuracy': 0.8996} |
| 0.0009        | 236.0 | 14868 | 1.1093          | {'f1': 0.9017160686427457} | {'accuracy': 0.8992} |
| 0.0009        | 237.0 | 14931 | 1.1100          | {'f1': 0.9011332551778038} | {'accuracy': 0.8988} |
| 0.0009        | 238.0 | 14994 | 1.1138          | {'f1': 0.9016393442622952} | {'accuracy': 0.8992} |
| 0.0           | 239.0 | 15057 | 1.1172          | {'f1': 0.9017160686427457} | {'accuracy': 0.8992} |
| 0.0           | 240.0 | 15120 | 1.1205          | {'f1': 0.9017160686427457} | {'accuracy': 0.8992} |
| 0.0           | 241.0 | 15183 | 1.1244          | {'f1': 0.9021442495126705} | {'accuracy': 0.8996} |
| 0.0           | 242.0 | 15246 | 1.1281          | {'f1': 0.9025720966484801} | {'accuracy': 0.9}    |
| 0.0           | 243.0 | 15309 | 1.1345          | {'f1': 0.9018691588785047} | {'accuracy': 0.8992} |
| 0.0           | 244.0 | 15372 | 1.1374          | {'f1': 0.9018691588785047} | {'accuracy': 0.8992} |
| 0.0           | 245.0 | 15435 | 1.1411          | {'f1': 0.9027237354085603} | {'accuracy': 0.9}    |
| 0.0           | 246.0 | 15498 | 1.3040          | {'f1': 0.8934086629001884} | {'accuracy': 0.8868} |
| 0.0           | 247.0 | 15561 | 1.2456          | {'f1': 0.9018097805159799} | {'accuracy': 0.898}  |
| 0.0           | 248.0 | 15624 | 1.2432          | {'f1': 0.9013107170393215} | {'accuracy': 0.8976} |
| 0.0           | 249.0 | 15687 | 1.2865          | {'f1': 0.8925483738163854} | {'accuracy': 0.8956} |
| 0.0           | 250.0 | 15750 | 1.2453          | {'f1': 0.8968192397207138} | {'accuracy': 0.8936} |
| 0.0           | 251.0 | 15813 | 1.3628          | {'f1': 0.8833892617449665} | {'accuracy': 0.8888} |
| 0.0           | 252.0 | 15876 | 1.2639          | {'f1': 0.8964401294498382} | {'accuracy': 0.8976} |
| 0.0           | 253.0 | 15939 | 1.3068          | {'f1': 0.8966080915406621} | {'accuracy': 0.8988} |
| 0.0011        | 254.0 | 16002 | 1.3026          | {'f1': 0.8963265306122449} | {'accuracy': 0.8984} |
| 0.0011        | 255.0 | 16065 | 1.2893          | {'f1': 0.8976441917140536} | {'accuracy': 0.8992} |
| 0.0011        | 256.0 | 16128 | 1.3001          | {'f1': 0.8994082840236687} | {'accuracy': 0.898}  |
| 0.0011        | 257.0 | 16191 | 1.3317          | {'f1': 0.8962226640159046} | {'accuracy': 0.8956} |
| 0.0011        | 258.0 | 16254 | 1.3316          | {'f1': 0.8955934894799522} | {'accuracy': 0.8948} |
| 0.0011        | 259.0 | 16317 | 1.3324          | {'f1': 0.8955934894799522} | {'accuracy': 0.8948} |
| 0.0011        | 260.0 | 16380 | 1.3313          | {'f1': 0.8960317460317461} | {'accuracy': 0.8952} |
| 0.0011        | 261.0 | 16443 | 1.3315          | {'f1': 0.8960317460317461} | {'accuracy': 0.8952} |
| 0.0004        | 262.0 | 16506 | 1.3319          | {'f1': 0.8966336633663365} | {'accuracy': 0.8956} |
| 0.0004        | 263.0 | 16569 | 1.3325          | {'f1': 0.8966336633663365} | {'accuracy': 0.8956} |
| 0.0004        | 264.0 | 16632 | 1.3320          | {'f1': 0.8993288590604028} | {'accuracy': 0.898}  |
| 0.0004        | 265.0 | 16695 | 1.3327          | {'f1': 0.8986193293885602} | {'accuracy': 0.8972} |
| 0.0004        | 266.0 | 16758 | 1.3334          | {'f1': 0.8986193293885602} | {'accuracy': 0.8972} |
| 0.0004        | 267.0 | 16821 | 1.3337          | {'f1': 0.8986193293885602} | {'accuracy': 0.8972} |
| 0.0004        | 268.0 | 16884 | 1.3329          | {'f1': 0.8989382618953992} | {'accuracy': 0.8972} |
| 0.0004        | 269.0 | 16947 | 1.3367          | {'f1': 0.8997650743931088} | {'accuracy': 0.8976} |
| 0.0           | 270.0 | 17010 | 1.3370          | {'f1': 0.8949290060851927} | {'accuracy': 0.8964} |
| 0.0           | 271.0 | 17073 | 1.3065          | {'f1': 0.899878394811512}  | {'accuracy': 0.9012} |
| 0.0           | 272.0 | 17136 | 1.2911          | {'f1': 0.9010812975570685} | {'accuracy': 0.9012} |
| 0.0           | 273.0 | 17199 | 1.2900          | {'f1': 0.9004398240703718} | {'accuracy': 0.9004} |
| 0.0           | 274.0 | 17262 | 1.2749          | {'f1': 0.9011075949367089} | {'accuracy': 0.9}    |
| 0.0           | 275.0 | 17325 | 1.3013          | {'f1': 0.9041521148622429} | {'accuracy': 0.9012} |
| 0.0           | 276.0 | 17388 | 1.5272          | {'f1': 0.8939337551172312} | {'accuracy': 0.886}  |
| 0.0           | 277.0 | 17451 | 1.4079          | {'f1': 0.8907081457224724} | {'accuracy': 0.8932} |
| 0.0028        | 278.0 | 17514 | 1.4161          | {'f1': 0.8978658536585366} | {'accuracy': 0.8928} |
| 0.0028        | 279.0 | 17577 | 1.3334          | {'f1': 0.9005439005439005} | {'accuracy': 0.8976} |
| 0.0028        | 280.0 | 17640 | 1.3338          | {'f1': 0.9040344692518606} | {'accuracy': 0.902}  |
| 0.0028        | 281.0 | 17703 | 1.3342          | {'f1': 0.9040344692518606} | {'accuracy': 0.902}  |
| 0.0028        | 282.0 | 17766 | 1.3350          | {'f1': 0.9036050156739812} | {'accuracy': 0.9016} |
| 0.0028        | 283.0 | 17829 | 1.3355          | {'f1': 0.9036050156739812} | {'accuracy': 0.9016} |
| 0.0028        | 284.0 | 17892 | 1.3360          | {'f1': 0.9036050156739812} | {'accuracy': 0.9016} |
| 0.0028        | 285.0 | 17955 | 1.3370          | {'f1': 0.9027450980392158} | {'accuracy': 0.9008} |
| 0.0008        | 286.0 | 18018 | 1.3377          | {'f1': 0.901883830455259}  | {'accuracy': 0.9}    |
| 0.0008        | 287.0 | 18081 | 1.3408          | {'f1': 0.9017295597484277} | {'accuracy': 0.9}    |
| 0.0008        | 288.0 | 18144 | 1.3418          | {'f1': 0.901652242328875}  | {'accuracy': 0.9}    |
| 0.0008        | 289.0 | 18207 | 1.3423          | {'f1': 0.9012976799056234} | {'accuracy': 0.8996} |
| 0.0008        | 290.0 | 18270 | 1.3426          | {'f1': 0.9012976799056234} | {'accuracy': 0.8996} |
| 0.0008        | 291.0 | 18333 | 1.3431          | {'f1': 0.9012976799056234} | {'accuracy': 0.8996} |
| 0.0008        | 292.0 | 18396 | 1.3444          | {'f1': 0.9021611001964637} | {'accuracy': 0.9004} |
| 0.0008        | 293.0 | 18459 | 1.3449          | {'f1': 0.9021611001964637} | {'accuracy': 0.9004} |
| 0.0           | 294.0 | 18522 | 1.3456          | {'f1': 0.9021611001964637} | {'accuracy': 0.9004} |
| 0.0           | 295.0 | 18585 | 1.3461          | {'f1': 0.9017295597484277} | {'accuracy': 0.9}    |
| 0.0           | 296.0 | 18648 | 1.3494          | {'f1': 0.9021611001964637} | {'accuracy': 0.9004} |
| 0.0           | 297.0 | 18711 | 1.3523          | {'f1': 0.9017295597484277} | {'accuracy': 0.9}    |
| 0.0           | 298.0 | 18774 | 1.3307          | {'f1': 0.8999211977935383} | {'accuracy': 0.8984} |
| 0.0           | 299.0 | 18837 | 1.3553          | {'f1': 0.8957497995188451} | {'accuracy': 0.896}  |
| 0.0           | 300.0 | 18900 | 1.3515          | {'f1': 0.8975687524910324} | {'accuracy': 0.8972} |
| 0.0           | 301.0 | 18963 | 1.5733          | {'f1': 0.8836869056327726} | {'accuracy': 0.8728} |
| 0.0052        | 302.0 | 19026 | 1.1338          | {'f1': 0.9028436018957346} | {'accuracy': 0.9016} |
| 0.0052        | 303.0 | 19089 | 1.1460          | {'f1': 0.9012296707655693} | {'accuracy': 0.9004} |
| 0.0052        | 304.0 | 19152 | 1.1829          | {'f1': 0.89827100924809}   | {'accuracy': 0.8988} |
| 0.0052        | 305.0 | 19215 | 1.1550          | {'f1': 0.9035812672176309} | {'accuracy': 0.902}  |
| 0.0052        | 306.0 | 19278 | 1.2380          | {'f1': 0.9049634474797998} | {'accuracy': 0.9012} |
| 0.0052        | 307.0 | 19341 | 1.4038          | {'f1': 0.88759367194005}   | {'accuracy': 0.892}  |
| 0.0052        | 308.0 | 19404 | 1.2787          | {'f1': 0.901899961225281}  | {'accuracy': 0.8988} |
| 0.0052        | 309.0 | 19467 | 1.2585          | {'f1': 0.8982178217821782} | {'accuracy': 0.8972} |
| 0.0006        | 310.0 | 19530 | 1.2588          | {'f1': 0.8986539984164688} | {'accuracy': 0.8976} |
| 0.0006        | 311.0 | 19593 | 1.2597          | {'f1': 0.8986539984164688} | {'accuracy': 0.8976} |
| 0.0006        | 312.0 | 19656 | 1.2765          | {'f1': 0.9021442495126705} | {'accuracy': 0.8996} |
| 0.0006        | 313.0 | 19719 | 1.2827          | {'f1': 0.901441371250487}  | {'accuracy': 0.8988} |
| 0.0006        | 314.0 | 19782 | 1.2827          | {'f1': 0.9017926734216679} | {'accuracy': 0.8992} |
| 0.0006        | 315.0 | 19845 | 1.2869          | {'f1': 0.9015181004281821} | {'accuracy': 0.8988} |
| 0.0006        | 316.0 | 19908 | 1.2865          | {'f1': 0.901441371250487}  | {'accuracy': 0.8988} |
| 0.0006        | 317.0 | 19971 | 1.2860          | {'f1': 0.9017926734216679} | {'accuracy': 0.8992} |
| 0.0           | 318.0 | 20034 | 1.2864          | {'f1': 0.9017926734216679} | {'accuracy': 0.8992} |
| 0.0           | 319.0 | 20097 | 1.2874          | {'f1': 0.9017926734216679} | {'accuracy': 0.8992} |
| 0.0           | 320.0 | 20160 | 1.2877          | {'f1': 0.9017926734216679} | {'accuracy': 0.8992} |
| 0.0           | 321.0 | 20223 | 1.2782          | {'f1': 0.8982035928143712} | {'accuracy': 0.898}  |
| 0.0           | 322.0 | 20286 | 1.3144          | {'f1': 0.9036004645760743} | {'accuracy': 0.9004} |
| 0.0           | 323.0 | 20349 | 1.3165          | {'f1': 0.9032507739938079} | {'accuracy': 0.9}    |
| 0.0           | 324.0 | 20412 | 1.3169          | {'f1': 0.9032507739938079} | {'accuracy': 0.9}    |
| 0.0           | 325.0 | 20475 | 1.3169          | {'f1': 0.9032507739938079} | {'accuracy': 0.9}    |
| 0.0           | 326.0 | 20538 | 1.3009          | {'f1': 0.9020217729393468} | {'accuracy': 0.8992} |
| 0.0           | 327.0 | 20601 | 1.3010          | {'f1': 0.9020217729393468} | {'accuracy': 0.8992} |
| 0.0           | 328.0 | 20664 | 1.3018          | {'f1': 0.9020217729393468} | {'accuracy': 0.8992} |
| 0.0           | 329.0 | 20727 | 1.3031          | {'f1': 0.9020217729393468} | {'accuracy': 0.8992} |
| 0.0           | 330.0 | 20790 | 1.3043          | {'f1': 0.9020217729393468} | {'accuracy': 0.8992} |
| 0.0           | 331.0 | 20853 | 1.3048          | {'f1': 0.9020217729393468} | {'accuracy': 0.8992} |
| 0.0           | 332.0 | 20916 | 1.3054          | {'f1': 0.9020217729393468} | {'accuracy': 0.8992} |
| 0.0           | 333.0 | 20979 | 1.3058          | {'f1': 0.9020217729393468} | {'accuracy': 0.8992} |
| 0.0           | 334.0 | 21042 | 1.3049          | {'f1': 0.9020217729393468} | {'accuracy': 0.8992} |
| 0.0           | 335.0 | 21105 | 1.3056          | {'f1': 0.9020217729393468} | {'accuracy': 0.8992} |
| 0.0           | 336.0 | 21168 | 1.3058          | {'f1': 0.9020217729393468} | {'accuracy': 0.8992} |
| 0.0           | 337.0 | 21231 | 1.3240          | {'f1': 0.8979919678714859} | {'accuracy': 0.8984} |
| 0.0           | 338.0 | 21294 | 1.3273          | {'f1': 0.897909967845659}  | {'accuracy': 0.8984} |
| 0.0           | 339.0 | 21357 | 1.3270          | {'f1': 0.897909967845659}  | {'accuracy': 0.8984} |
| 0.0           | 340.0 | 21420 | 1.3510          | {'f1': 0.9025133282559026} | {'accuracy': 0.8976} |
| 0.0           | 341.0 | 21483 | 1.3586          | {'f1': 0.8995562726906011} | {'accuracy': 0.9004} |
| 0.0013        | 342.0 | 21546 | 1.3589          | {'f1': 0.8999999999999999} | {'accuracy': 0.9008} |
| 0.0013        | 343.0 | 21609 | 1.3579          | {'f1': 0.8996372430471585} | {'accuracy': 0.9004} |
| 0.0013        | 344.0 | 21672 | 1.3556          | {'f1': 0.8998793727382388} | {'accuracy': 0.9004} |
| 0.0013        | 345.0 | 21735 | 1.3519          | {'f1': 0.9002004008016031} | {'accuracy': 0.9004} |
| 0.0013        | 346.0 | 21798 | 1.3502          | {'f1': 0.9002004008016031} | {'accuracy': 0.9004} |
| 0.0013        | 347.0 | 21861 | 1.3510          | {'f1': 0.9008}             | {'accuracy': 0.9008} |
| 0.0013        | 348.0 | 21924 | 1.3511          | {'f1': 0.9008}             | {'accuracy': 0.9008} |
| 0.0013        | 349.0 | 21987 | 1.3507          | {'f1': 0.9012395041983206} | {'accuracy': 0.9012} |
| 0.0           | 350.0 | 22050 | 1.3508          | {'f1': 0.9012395041983206} | {'accuracy': 0.9012} |
| 0.0           | 351.0 | 22113 | 1.3508          | {'f1': 0.9012395041983206} | {'accuracy': 0.9012} |
| 0.0           | 352.0 | 22176 | 1.3483          | {'f1': 0.9017571884984026} | {'accuracy': 0.9016} |
| 0.0           | 353.0 | 22239 | 1.3476          | {'f1': 0.9014758675708018} | {'accuracy': 0.9012} |
| 0.0           | 354.0 | 22302 | 1.3476          | {'f1': 0.9014758675708018} | {'accuracy': 0.9012} |
| 0.0           | 355.0 | 22365 | 1.3501          | {'f1': 0.9017571884984026} | {'accuracy': 0.9016} |
| 0.0           | 356.0 | 22428 | 1.3484          | {'f1': 0.9015544041450778} | {'accuracy': 0.9012} |
| 0.0           | 357.0 | 22491 | 1.3482          | {'f1': 0.9033028253083963} | {'accuracy': 0.9028} |
| 0.0           | 358.0 | 22554 | 1.3513          | {'f1': 0.9015544041450778} | {'accuracy': 0.9012} |
| 0.0           | 359.0 | 22617 | 1.3514          | {'f1': 0.9015544041450778} | {'accuracy': 0.9012} |
| 0.0           | 360.0 | 22680 | 1.3467          | {'f1': 0.9038155802861685} | {'accuracy': 0.9032} |
| 0.0           | 361.0 | 22743 | 1.3396          | {'f1': 0.9044787950852159} | {'accuracy': 0.9036} |
| 0.0           | 362.0 | 22806 | 1.3397          | {'f1': 0.9044787950852159} | {'accuracy': 0.9036} |
| 0.0           | 363.0 | 22869 | 1.3397          | {'f1': 0.9049128367670365} | {'accuracy': 0.904}  |
| 0.0           | 364.0 | 22932 | 1.3397          | {'f1': 0.9050632911392406} | {'accuracy': 0.904}  |
| 0.0           | 365.0 | 22995 | 1.5224          | {'f1': 0.887881286067601}  | {'accuracy': 0.8912} |
| 0.0           | 366.0 | 23058 | 1.3924          | {'f1': 0.9012581014105985} | {'accuracy': 0.8964} |
| 0.0           | 367.0 | 23121 | 1.3125          | {'f1': 0.9057654075546719} | {'accuracy': 0.9052} |
| 0.0           | 368.0 | 23184 | 1.3147          | {'f1': 0.9053301511535402} | {'accuracy': 0.9048} |
| 0.0           | 369.0 | 23247 | 1.3148          | {'f1': 0.9053301511535402} | {'accuracy': 0.9048} |
| 0.0           | 370.0 | 23310 | 1.3148          | {'f1': 0.9057654075546719} | {'accuracy': 0.9052} |
| 0.0           | 371.0 | 23373 | 1.3150          | {'f1': 0.9057654075546719} | {'accuracy': 0.9052} |
| 0.0           | 372.0 | 23436 | 1.3151          | {'f1': 0.9057654075546719} | {'accuracy': 0.9052} |
| 0.0           | 373.0 | 23499 | 1.3151          | {'f1': 0.9057654075546719} | {'accuracy': 0.9052} |
| 0.0011        | 374.0 | 23562 | 1.3153          | {'f1': 0.9054054054054054} | {'accuracy': 0.9048} |
| 0.0011        | 375.0 | 23625 | 1.3147          | {'f1': 0.9054805401111993} | {'accuracy': 0.9048} |
| 0.0011        | 376.0 | 23688 | 1.3145          | {'f1': 0.9055555555555556} | {'accuracy': 0.9048} |
| 0.0011        | 377.0 | 23751 | 1.3146          | {'f1': 0.9059896866322887} | {'accuracy': 0.9052} |
| 0.0011        | 378.0 | 23814 | 1.3150          | {'f1': 0.9049128367670365} | {'accuracy': 0.904}  |
| 0.0011        | 379.0 | 23877 | 1.3151          | {'f1': 0.9049128367670365} | {'accuracy': 0.904}  |
| 0.0011        | 380.0 | 23940 | 1.3154          | {'f1': 0.9053465346534653} | {'accuracy': 0.9044} |
| 0.0           | 381.0 | 24003 | 1.3160          | {'f1': 0.9058544303797469} | {'accuracy': 0.9048} |
| 0.0           | 382.0 | 24066 | 1.3162          | {'f1': 0.9058544303797469} | {'accuracy': 0.9048} |
| 0.0           | 383.0 | 24129 | 1.3170          | {'f1': 0.9052132701421801} | {'accuracy': 0.904}  |
| 0.0           | 384.0 | 24192 | 1.3179          | {'f1': 0.9054962435745354} | {'accuracy': 0.9044} |
| 0.0           | 385.0 | 24255 | 1.3185          | {'f1': 0.9054962435745354} | {'accuracy': 0.9044} |
| 0.0           | 386.0 | 24318 | 1.3192          | {'f1': 0.9055709205847491} | {'accuracy': 0.9044} |
| 0.0           | 387.0 | 24381 | 1.3193          | {'f1': 0.9055709205847491} | {'accuracy': 0.9044} |
| 0.0           | 388.0 | 24444 | 1.3202          | {'f1': 0.9055709205847491} | {'accuracy': 0.9044} |
| 0.0           | 389.0 | 24507 | 1.3209          | {'f1': 0.9052132701421801} | {'accuracy': 0.904}  |
| 0.0           | 390.0 | 24570 | 1.3214          | {'f1': 0.9055709205847491} | {'accuracy': 0.9044} |
| 0.0           | 391.0 | 24633 | 1.3219          | {'f1': 0.9055709205847491} | {'accuracy': 0.9044} |
| 0.0           | 392.0 | 24696 | 1.3221          | {'f1': 0.9055709205847491} | {'accuracy': 0.9044} |
| 0.0           | 393.0 | 24759 | 1.3225          | {'f1': 0.9052132701421801} | {'accuracy': 0.904}  |
| 0.0           | 394.0 | 24822 | 1.3229          | {'f1': 0.904498816101026}  | {'accuracy': 0.9032} |
| 0.0           | 395.0 | 24885 | 1.3231          | {'f1': 0.904498816101026}  | {'accuracy': 0.9032} |
| 0.0           | 396.0 | 24948 | 1.3235          | {'f1': 0.9049309664694279} | {'accuracy': 0.9036} |
| 0.0           | 397.0 | 25011 | 1.3659          | {'f1': 0.9022498060512025} | {'accuracy': 0.8992} |
| 0.0           | 398.0 | 25074 | 1.3666          | {'f1': 0.9022498060512025} | {'accuracy': 0.8992} |
| 0.0           | 399.0 | 25137 | 1.4143          | {'f1': 0.9029940119760479} | {'accuracy': 0.9028} |
| 0.0           | 400.0 | 25200 | 1.4131          | {'f1': 0.9034317637669593} | {'accuracy': 0.9032} |
| 0.0           | 401.0 | 25263 | 1.4131          | {'f1': 0.9030714000797766} | {'accuracy': 0.9028} |
| 0.0           | 402.0 | 25326 | 1.4129          | {'f1': 0.9031486648066959} | {'accuracy': 0.9028} |
| 0.0           | 403.0 | 25389 | 1.4098          | {'f1': 0.9036624203821655} | {'accuracy': 0.9032} |
| 0.0           | 404.0 | 25452 | 1.4097          | {'f1': 0.9036624203821655} | {'accuracy': 0.9032} |
| 0.0           | 405.0 | 25515 | 1.4095          | {'f1': 0.9036624203821655} | {'accuracy': 0.9032} |
| 0.0           | 406.0 | 25578 | 1.4094          | {'f1': 0.9036624203821655} | {'accuracy': 0.9032} |
| 0.0           | 407.0 | 25641 | 1.4089          | {'f1': 0.9036624203821655} | {'accuracy': 0.9032} |
| 0.0           | 408.0 | 25704 | 1.4086          | {'f1': 0.9036624203821655} | {'accuracy': 0.9032} |
| 0.0           | 409.0 | 25767 | 1.4076          | {'f1': 0.9036624203821655} | {'accuracy': 0.9032} |
| 0.0           | 410.0 | 25830 | 1.4376          | {'f1': 0.8995983935742972} | {'accuracy': 0.9}    |
| 0.0           | 411.0 | 25893 | 1.4380          | {'f1': 0.8995983935742972} | {'accuracy': 0.9}    |
| 0.0           | 412.0 | 25956 | 1.4953          | {'f1': 0.899735149451381}  | {'accuracy': 0.894}  |
| 0.0013        | 413.0 | 26019 | 1.4050          | {'f1': 0.9016459253311923} | {'accuracy': 0.902}  |
| 0.0013        | 414.0 | 26082 | 1.4062          | {'f1': 0.9023704298915227} | {'accuracy': 0.9028} |
| 0.0013        | 415.0 | 26145 | 1.4062          | {'f1': 0.9020080321285141} | {'accuracy': 0.9024} |
| 0.0013        | 416.0 | 26208 | 1.4030          | {'f1': 0.9021143304620203} | {'accuracy': 0.9}    |
| 0.0013        | 417.0 | 26271 | 1.4031          | {'f1': 0.9021143304620203} | {'accuracy': 0.9}    |
| 0.0013        | 418.0 | 26334 | 1.4032          | {'f1': 0.9021143304620203} | {'accuracy': 0.9}    |
| 0.0013        | 419.0 | 26397 | 1.4030          | {'f1': 0.9021143304620203} | {'accuracy': 0.9}    |
| 0.0013        | 420.0 | 26460 | 1.4031          | {'f1': 0.9028213166144201} | {'accuracy': 0.9008} |
| 0.0           | 421.0 | 26523 | 1.4031          | {'f1': 0.9028213166144201} | {'accuracy': 0.9008} |
| 0.0           | 422.0 | 26586 | 1.4032          | {'f1': 0.9028213166144201} | {'accuracy': 0.9008} |
| 0.0           | 423.0 | 26649 | 1.4032          | {'f1': 0.9028213166144201} | {'accuracy': 0.9008} |
| 0.0           | 424.0 | 26712 | 1.4037          | {'f1': 0.9024676850763808} | {'accuracy': 0.9004} |
| 0.0           | 425.0 | 26775 | 1.4039          | {'f1': 0.9021143304620203} | {'accuracy': 0.9}    |
| 0.0           | 426.0 | 26838 | 1.4040          | {'f1': 0.9021143304620203} | {'accuracy': 0.9}    |
| 0.0           | 427.0 | 26901 | 1.4041          | {'f1': 0.9021143304620203} | {'accuracy': 0.9}    |
| 0.0           | 428.0 | 26964 | 1.4042          | {'f1': 0.9027450980392158} | {'accuracy': 0.9008} |
| 0.0           | 429.0 | 27027 | 1.4042          | {'f1': 0.902391219129753}  | {'accuracy': 0.9004} |
| 0.0           | 430.0 | 27090 | 1.4044          | {'f1': 0.902391219129753}  | {'accuracy': 0.9004} |
| 0.0           | 431.0 | 27153 | 1.4046          | {'f1': 0.9023146331894862} | {'accuracy': 0.9004} |
| 0.0           | 432.0 | 27216 | 1.4048          | {'f1': 0.9023146331894862} | {'accuracy': 0.9004} |
| 0.0           | 433.0 | 27279 | 1.4287          | {'f1': 0.9011254019292605} | {'accuracy': 0.9016} |
| 0.0           | 434.0 | 27342 | 1.4161          | {'f1': 0.902633679169992}  | {'accuracy': 0.9024} |
| 0.0           | 435.0 | 27405 | 1.4081          | {'f1': 0.9037787300350604} | {'accuracy': 0.9012} |
| 0.0           | 436.0 | 27468 | 1.4085          | {'f1': 0.9037787300350604} | {'accuracy': 0.9012} |
| 0.0005        | 437.0 | 27531 | 1.4085          | {'f1': 0.9037787300350604} | {'accuracy': 0.9012} |
| 0.0005        | 438.0 | 27594 | 1.4068          | {'f1': 0.9029239766081871} | {'accuracy': 0.9004} |
| 0.0005        | 439.0 | 27657 | 1.4066          | {'f1': 0.9032761310452418} | {'accuracy': 0.9008} |
| 0.0005        | 440.0 | 27720 | 1.4066          | {'f1': 0.9032761310452418} | {'accuracy': 0.9008} |
| 0.0005        | 441.0 | 27783 | 1.4067          | {'f1': 0.9032761310452418} | {'accuracy': 0.9008} |
| 0.0005        | 442.0 | 27846 | 1.4068          | {'f1': 0.9032761310452418} | {'accuracy': 0.9008} |
| 0.0005        | 443.0 | 27909 | 1.4069          | {'f1': 0.9032761310452418} | {'accuracy': 0.9008} |
| 0.0005        | 444.0 | 27972 | 1.4070          | {'f1': 0.9032761310452418} | {'accuracy': 0.9008} |
| 0.0           | 445.0 | 28035 | 1.4073          | {'f1': 0.9029239766081871} | {'accuracy': 0.9004} |
| 0.0           | 446.0 | 28098 | 1.5189          | {'f1': 0.8943488943488943} | {'accuracy': 0.8968} |
| 0.0           | 447.0 | 28161 | 1.5200          | {'f1': 0.8947152806226956} | {'accuracy': 0.8972} |
| 0.0           | 448.0 | 28224 | 1.5197          | {'f1': 0.8947152806226956} | {'accuracy': 0.8972} |
| 0.0           | 449.0 | 28287 | 1.5195          | {'f1': 0.8943488943488943} | {'accuracy': 0.8968} |
| 0.0           | 450.0 | 28350 | 1.4609          | {'f1': 0.9018974566007266} | {'accuracy': 0.9028} |
| 0.0           | 451.0 | 28413 | 1.4473          | {'f1': 0.9019292604501606} | {'accuracy': 0.9024} |
| 0.0           | 452.0 | 28476 | 1.4397          | {'f1': 0.9014423076923077} | {'accuracy': 0.9016} |
| 0.0           | 453.0 | 28539 | 1.4506          | {'f1': 0.9019292604501606} | {'accuracy': 0.9024} |
| 0.0           | 454.0 | 28602 | 1.4508          | {'f1': 0.9019292604501606} | {'accuracy': 0.9024} |
| 0.0           | 455.0 | 28665 | 1.4507          | {'f1': 0.9019292604501606} | {'accuracy': 0.9024} |
| 0.0           | 456.0 | 28728 | 1.4507          | {'f1': 0.9019292604501606} | {'accuracy': 0.9024} |
| 0.0           | 457.0 | 28791 | 1.4507          | {'f1': 0.9019292604501606} | {'accuracy': 0.9024} |
| 0.0           | 458.0 | 28854 | 1.4504          | {'f1': 0.9019292604501606} | {'accuracy': 0.9024} |
| 0.0           | 459.0 | 28917 | 1.4496          | {'f1': 0.9019292604501606} | {'accuracy': 0.9024} |
| 0.0           | 460.0 | 28980 | 1.4493          | {'f1': 0.9019292604501606} | {'accuracy': 0.9024} |
| 0.0           | 461.0 | 29043 | 1.4493          | {'f1': 0.9019292604501606} | {'accuracy': 0.9024} |
| 0.0           | 462.0 | 29106 | 1.4493          | {'f1': 0.9019292604501606} | {'accuracy': 0.9024} |
| 0.0           | 463.0 | 29169 | 1.4808          | {'f1': 0.9001156961048979} | {'accuracy': 0.8964} |
| 0.0           | 464.0 | 29232 | 1.4812          | {'f1': 0.9001156961048979} | {'accuracy': 0.8964} |
| 0.0           | 465.0 | 29295 | 1.4813          | {'f1': 0.9001156961048979} | {'accuracy': 0.8964} |
| 0.0           | 466.0 | 29358 | 1.4789          | {'f1': 0.9000385951370128} | {'accuracy': 0.8964} |
| 0.0           | 467.0 | 29421 | 1.4788          | {'f1': 0.9000385951370128} | {'accuracy': 0.8964} |
| 0.0           | 468.0 | 29484 | 1.4788          | {'f1': 0.9000385951370128} | {'accuracy': 0.8964} |
| 0.0           | 469.0 | 29547 | 1.4788          | {'f1': 0.9000385951370128} | {'accuracy': 0.8964} |
| 0.0           | 470.0 | 29610 | 1.4783          | {'f1': 0.9003861003861003} | {'accuracy': 0.8968} |
| 0.0           | 471.0 | 29673 | 1.4783          | {'f1': 0.9003861003861003} | {'accuracy': 0.8968} |
| 0.0           | 472.0 | 29736 | 1.4781          | {'f1': 0.9003861003861003} | {'accuracy': 0.8968} |
| 0.0           | 473.0 | 29799 | 1.4782          | {'f1': 0.9003861003861003} | {'accuracy': 0.8968} |
| 0.0           | 474.0 | 29862 | 1.4781          | {'f1': 0.9003861003861003} | {'accuracy': 0.8968} |
| 0.0           | 475.0 | 29925 | 1.4781          | {'f1': 0.9003861003861003} | {'accuracy': 0.8968} |
| 0.0           | 476.0 | 29988 | 1.4780          | {'f1': 0.9003861003861003} | {'accuracy': 0.8968} |
| 0.0           | 477.0 | 30051 | 1.4780          | {'f1': 0.9003861003861003} | {'accuracy': 0.8968} |
| 0.0           | 478.0 | 30114 | 1.4755          | {'f1': 0.8999613750482811} | {'accuracy': 0.8964} |
| 0.0           | 479.0 | 30177 | 1.4747          | {'f1': 0.9006571318129107} | {'accuracy': 0.8972} |
| 0.0           | 480.0 | 30240 | 1.4746          | {'f1': 0.9006571318129107} | {'accuracy': 0.8972} |
| 0.0           | 481.0 | 30303 | 1.4747          | {'f1': 0.9006571318129107} | {'accuracy': 0.8972} |
| 0.0           | 482.0 | 30366 | 1.4748          | {'f1': 0.9006571318129107} | {'accuracy': 0.8972} |
| 0.0           | 483.0 | 30429 | 1.4750          | {'f1': 0.9006571318129107} | {'accuracy': 0.8972} |
| 0.0           | 484.0 | 30492 | 1.4714          | {'f1': 0.9005032907471932} | {'accuracy': 0.8972} |
| 0.0           | 485.0 | 30555 | 1.4707          | {'f1': 0.900852052672347}  | {'accuracy': 0.8976} |
| 0.0           | 486.0 | 30618 | 1.4709          | {'f1': 0.900852052672347}  | {'accuracy': 0.8976} |
| 0.0           | 487.0 | 30681 | 1.4709          | {'f1': 0.900852052672347}  | {'accuracy': 0.8976} |
| 0.0           | 488.0 | 30744 | 1.4709          | {'f1': 0.900852052672347}  | {'accuracy': 0.8976} |
| 0.0           | 489.0 | 30807 | 1.4709          | {'f1': 0.900852052672347}  | {'accuracy': 0.8976} |
| 0.0           | 490.0 | 30870 | 1.4709          | {'f1': 0.900852052672347}  | {'accuracy': 0.8976} |
| 0.0           | 491.0 | 30933 | 1.4618          | {'f1': 0.8997668997668997} | {'accuracy': 0.8968} |
| 0.0           | 492.0 | 30996 | 1.4614          | {'f1': 0.8997668997668997} | {'accuracy': 0.8968} |
| 0.0           | 493.0 | 31059 | 1.4614          | {'f1': 0.8997668997668997} | {'accuracy': 0.8968} |
| 0.0           | 494.0 | 31122 | 1.4614          | {'f1': 0.8997668997668997} | {'accuracy': 0.8968} |
| 0.0           | 495.0 | 31185 | 1.4614          | {'f1': 0.8997668997668997} | {'accuracy': 0.8968} |
| 0.0           | 496.0 | 31248 | 1.4613          | {'f1': 0.8997668997668997} | {'accuracy': 0.8968} |
| 0.0           | 497.0 | 31311 | 1.4613          | {'f1': 0.8997668997668997} | {'accuracy': 0.8968} |
| 0.0           | 498.0 | 31374 | 1.4610          | {'f1': 0.8997668997668997} | {'accuracy': 0.8968} |
| 0.0           | 499.0 | 31437 | 1.4610          | {'f1': 0.8997668997668997} | {'accuracy': 0.8968} |
| 0.0           | 500.0 | 31500 | 1.4610          | {'f1': 0.8997668997668997} | {'accuracy': 0.8968} |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
