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# model

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1120
- Accuracy: {'accuracy': 0.958625}
- F1: {'f1': 0.9585161047750345}

## 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: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 1280
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Accuracy                | F1                         | Validation Loss |
|:-------------:|:-----:|:----:|:-----------------------:|:--------------------------:|:---------------:|
| 0.6659        | 0.0   | 5    | {'accuracy': 0.7308125} | {'f1': 0.67054233917234}   | 0.6003          |
| 0.5966        | 0.01  | 10   | {'accuracy': 0.795625}  | {'f1': 0.8145838058516671} | 0.5072          |
| 0.4979        | 0.01  | 15   | {'accuracy': 0.8160625} | {'f1': 0.8247275326067537} | 0.4284          |
| 0.4219        | 0.02  | 20   | {'accuracy': 0.83075}   | {'f1': 0.8330867850098618} | 0.3879          |
| 0.4539        | 0.02  | 25   | {'accuracy': 0.8180625} | {'f1': 0.8345176510715707} | 0.4414          |
| 0.3638        | 0.02  | 30   | {'accuracy': 0.844875}  | {'f1': 0.8441542132362175} | 0.3567          |
| 0.3815        | 0.03  | 35   | {'accuracy': 0.85125}   | {'f1': 0.8450117218025527} | 0.3476          |
| 0.357         | 0.03  | 40   | {'accuracy': 0.8601875} | {'f1': 0.8622960911049553} | 0.3268          |
| 0.3333        | 0.04  | 45   | {'accuracy': 0.8561875} | {'f1': 0.8624544204674517} | 0.3487          |
| 0.3411        | 0.04  | 50   | {'accuracy': 0.8599375} | {'f1': 0.8656394268241501} | 0.3357          |
| 0.327         | 0.04  | 55   | {'accuracy': 0.8639375} | {'f1': 0.8681165566123463} | 0.3156          |
| 0.3271        | 0.05  | 60   | {'accuracy': 0.8645625} | {'f1': 0.861471584734386}  | 0.3182          |
| 0.3241        | 0.05  | 65   | {'accuracy': 0.8660625} | {'f1': 0.8615006786014346} | 0.3150          |
| 0.3077        | 0.06  | 70   | {'accuracy': 0.8654375} | {'f1': 0.8694122642081639} | 0.3127          |
| 0.3273        | 0.06  | 75   | {'accuracy': 0.864625}  | {'f1': 0.8695023496806844} | 0.3131          |
| 0.3139        | 0.06  | 80   | {'accuracy': 0.86875}   | {'f1': 0.8711340206185567} | 0.3190          |
| 0.3246        | 0.07  | 85   | {'accuracy': 0.86925}   | {'f1': 0.8722052535125229} | 0.3094          |
| 0.3045        | 0.07  | 90   | {'accuracy': 0.86975}   | {'f1': 0.872491434165443}  | 0.3061          |
| 0.3576        | 0.08  | 95   | {'accuracy': 0.8689375} | {'f1': 0.8639636717482971} | 0.3151          |
| 0.3114        | 0.08  | 100  | {'accuracy': 0.871625}  | {'f1': 0.8690885914595283} | 0.3144          |
| 0.3067        | 0.08  | 105  | {'accuracy': 0.8745}    | {'f1': 0.8743743743743743} | 0.2997          |
| 0.3591        | 0.09  | 110  | {'accuracy': 0.87375}   | {'f1': 0.8728760226557583} | 0.2996          |
| 0.3465        | 0.09  | 115  | {'accuracy': 0.855875}  | {'f1': 0.8430865541643985} | 0.3411          |
| 0.3377        | 0.1   | 120  | {'accuracy': 0.8741875} | {'f1': 0.8719547102601616} | 0.2971          |
| 0.3248        | 0.1   | 125  | {'accuracy': 0.8771875} | {'f1': 0.8765005342216077} | 0.3003          |
| 0.3209        | 0.11  | 130  | {'accuracy': 0.8794375} | {'f1': 0.8771728748806114} | 0.2900          |
| 0.3129        | 0.11  | 135  | {'accuracy': 0.8749375} | {'f1': 0.8713431492316596} | 0.3018          |
| 0.2986        | 0.11  | 140  | {'accuracy': 0.8784375} | {'f1': 0.878657433401959}  | 0.2876          |
| 0.3027        | 0.12  | 145  | {'accuracy': 0.8795}    | {'f1': 0.879920279023418}  | 0.2911          |
| 0.3193        | 0.12  | 150  | {'accuracy': 0.8776875} | {'f1': 0.8753264955086958} | 0.2925          |
| 0.3231        | 0.13  | 155  | {'accuracy': 0.8770625} | {'f1': 0.874176421672104}  | 0.2865          |
| 0.3213        | 0.13  | 160  | {'accuracy': 0.8764375} | {'f1': 0.8721794788905413} | 0.3075          |
| 0.3125        | 0.13  | 165  | {'accuracy': 0.8759375} | {'f1': 0.8709446719979196} | 0.2953          |
| 0.3118        | 0.14  | 170  | {'accuracy': 0.8745625} | {'f1': 0.869208211143695}  | 0.2963          |
| 0.3167        | 0.14  | 175  | {'accuracy': 0.8830625} | {'f1': 0.8847551586079458} | 0.2897          |
| 0.3307        | 0.15  | 180  | {'accuracy': 0.878375}  | {'f1': 0.8825304841241096} | 0.2940          |
| 0.2777        | 0.15  | 185  | {'accuracy': 0.8809375} | {'f1': 0.8832076512782784} | 0.2924          |
| 0.3242        | 0.15  | 190  | {'accuracy': 0.878875}  | {'f1': 0.8798512089274643} | 0.2871          |
| 0.3225        | 0.16  | 195  | {'accuracy': 0.8790625} | {'f1': 0.8799851144327979} | 0.3024          |
| 0.307         | 0.16  | 200  | {'accuracy': 0.8799375} | {'f1': 0.8786558019076496} | 0.2849          |
| 0.2912        | 0.17  | 205  | {'accuracy': 0.8778125} | {'f1': 0.8762893121559197} | 0.2923          |
| 0.3066        | 0.17  | 210  | {'accuracy': 0.8789375} | {'f1': 0.8825989453906297} | 0.2947          |
| 0.328         | 0.17  | 215  | {'accuracy': 0.877625}  | {'f1': 0.8810015801628784} | 0.2883          |
| 0.3049        | 0.18  | 220  | {'accuracy': 0.880375}  | {'f1': 0.8813244047619048} | 0.2880          |
| 0.3119        | 0.18  | 225  | {'accuracy': 0.8811875} | {'f1': 0.881269127474861}  | 0.2794          |
| 0.2887        | 0.19  | 230  | {'accuracy': 0.8799375} | {'f1': 0.8828158360275729} | 0.2902          |
| 0.2952        | 0.19  | 235  | {'accuracy': 0.8789375} | {'f1': 0.8788390567335961} | 0.2837          |
| 0.3062        | 0.19  | 240  | {'accuracy': 0.881375}  | {'f1': 0.8833435771358329} | 0.2812          |
| 0.3038        | 0.2   | 245  | {'accuracy': 0.88225}   | {'f1': 0.8831700359667617} | 0.2795          |
| 0.299         | 0.2   | 250  | {'accuracy': 0.8786875} | {'f1': 0.8812335556507372} | 0.2982          |
| 0.3154        | 0.21  | 255  | {'accuracy': 0.8815625} | {'f1': 0.8824222870261215} | 0.2799          |
| 0.2816        | 0.21  | 260  | {'accuracy': 0.884125}  | {'f1': 0.884557907845579}  | 0.2991          |
| 0.2943        | 0.21  | 265  | {'accuracy': 0.8835625} | {'f1': 0.8823492263972214} | 0.2780          |
| 0.3108        | 0.22  | 270  | {'accuracy': 0.8815}    | {'f1': 0.883623864473361}  | 0.2938          |
| 0.3061        | 0.22  | 275  | {'accuracy': 0.878625}  | {'f1': 0.8827436299963773} | 0.2874          |
| 0.2806        | 0.23  | 280  | {'accuracy': 0.8823125} | {'f1': 0.8805581985410719} | 0.2807          |
| 0.2952        | 0.23  | 285  | {'accuracy': 0.8776875} | {'f1': 0.8730457346740188} | 0.2867          |
| 0.2857        | 0.23  | 290  | {'accuracy': 0.8825}    | {'f1': 0.8843219296086636} | 0.2814          |
| 0.2888        | 0.24  | 295  | {'accuracy': 0.874875}  | {'f1': 0.8817763080193693} | 0.2987          |
| 0.3296        | 0.24  | 300  | {'accuracy': 0.884875}  | {'f1': 0.8869244935543277} | 0.2775          |
| 0.2984        | 0.25  | 305  | {'accuracy': 0.8835}    | {'f1': 0.8817408958254028} | 0.2772          |
| 0.3105        | 0.25  | 310  | {'accuracy': 0.8818125} | {'f1': 0.879392818419542}  | 0.2759          |
| 0.2772        | 0.25  | 315  | {'accuracy': 0.8815}    | {'f1': 0.87964961279675}   | 0.2830          |
| 0.2942        | 0.26  | 320  | {'accuracy': 0.88425}   | {'f1': 0.8841196345889125} | 0.2738          |
| 0.3287        | 0.26  | 325  | {'accuracy': 0.8830625} | {'f1': 0.8811686249603048} | 0.2826          |
| 0.3223        | 0.27  | 330  | {'accuracy': 0.886875}  | {'f1': 0.886875}           | 0.2720          |
| 0.2953        | 0.27  | 335  | {'accuracy': 0.88425}   | {'f1': 0.8867139711279667} | 0.2814          |
| 0.2898        | 0.27  | 340  | {'accuracy': 0.88175}   | {'f1': 0.8863254025474645} | 0.2827          |
| 0.2863        | 0.28  | 345  | {'accuracy': 0.8808125} | {'f1': 0.8842348084744733} | 0.2833          |
| 0.3093        | 0.28  | 350  | {'accuracy': 0.885375}  | {'f1': 0.8845378997733568} | 0.2788          |
| 0.3161        | 0.29  | 355  | {'accuracy': 0.8855625} | {'f1': 0.8850668507940493} | 0.2706          |
| 0.2902        | 0.29  | 360  | {'accuracy': 0.8875}    | {'f1': 0.8862487360970678} | 0.2784          |
| 0.3136        | 0.29  | 365  | {'accuracy': 0.8856875} | {'f1': 0.8891313572164636} | 0.2760          |
| 0.2949        | 0.3   | 370  | {'accuracy': 0.8861875} | {'f1': 0.8886306647911443} | 0.2762          |
| 0.3019        | 0.3   | 375  | {'accuracy': 0.8838125} | {'f1': 0.8867499238501371} | 0.2839          |
| 0.295         | 0.31  | 380  | {'accuracy': 0.888125}  | {'f1': 0.89004914004914}   | 0.2690          |
| 0.2989        | 0.31  | 385  | {'accuracy': 0.8865}    | {'f1': 0.8865992256775321} | 0.2697          |
| 0.2558        | 0.32  | 390  | {'accuracy': 0.886125}  | {'f1': 0.8840819442677186} | 0.2802          |
| 0.2901        | 0.32  | 395  | {'accuracy': 0.88525}   | {'f1': 0.8833396873808615} | 0.2743          |
| 0.2923        | 0.32  | 400  | {'accuracy': 0.887}     | {'f1': 0.8855406432008103} | 0.2811          |
| 0.2834        | 0.33  | 405  | {'accuracy': 0.885375}  | {'f1': 0.8824810970139689} | 0.2713          |
| 0.3008        | 0.33  | 410  | {'accuracy': 0.8875}    | {'f1': 0.8881848676854267} | 0.2707          |
| 0.2724        | 0.34  | 415  | {'accuracy': 0.885875}  | {'f1': 0.8856606136505948} | 0.2767          |
| 0.2631        | 0.34  | 420  | {'accuracy': 0.8855625} | {'f1': 0.8843116193845959} | 0.2745          |
| 0.2952        | 0.34  | 425  | {'accuracy': 0.8863125} | {'f1': 0.8868147595046979} | 0.2739          |
| 0.3061        | 0.35  | 430  | {'accuracy': 0.8849375} | {'f1': 0.8889693022133768} | 0.2742          |
| 0.2853        | 0.35  | 435  | {'accuracy': 0.8870625} | {'f1': 0.8889571683156148} | 0.2746          |
| 0.3031        | 0.36  | 440  | {'accuracy': 0.88875}   | {'f1': 0.8888194878201124} | 0.2669          |
| 0.2877        | 0.36  | 445  | {'accuracy': 0.88825}   | {'f1': 0.888012025554303}  | 0.2712          |
| 0.2949        | 0.36  | 450  | {'accuracy': 0.8876875} | {'f1': 0.886945580371186}  | 0.2688          |
| 0.2869        | 0.37  | 455  | {'accuracy': 0.88175}   | {'f1': 0.8785466683784825} | 0.2736          |
| 0.2878        | 0.37  | 460  | {'accuracy': 0.8854375} | {'f1': 0.8828529430561769} | 0.2733          |
| 0.3179        | 0.38  | 465  | {'accuracy': 0.8856875} | {'f1': 0.8833620304827497} | 0.2698          |
| 0.3093        | 0.38  | 470  | {'accuracy': 0.8849375} | {'f1': 0.887338596169145}  | 0.2767          |
| 0.3056        | 0.38  | 475  | {'accuracy': 0.8854375} | {'f1': 0.8889158232834374} | 0.2741          |
| 0.2886        | 0.39  | 480  | {'accuracy': 0.889625}  | {'f1': 0.8908798813643104} | 0.2789          |
| 0.2909        | 0.39  | 485  | {'accuracy': 0.8895}    | {'f1': 0.8890840652446675} | 0.2669          |
| 0.322         | 0.4   | 490  | {'accuracy': 0.8858125} | {'f1': 0.8832960715426381} | 0.2796          |
| 0.2886        | 0.4   | 495  | {'accuracy': 0.888875}  | {'f1': 0.8881198087087844} | 0.2671          |
| 0.3097        | 0.4   | 500  | {'accuracy': 0.8895625} | {'f1': 0.8891537544696066} | 0.2705          |
| 0.2827        | 0.41  | 505  | {'accuracy': 0.886625}  | {'f1': 0.8888616591104032} | 0.2736          |
| 0.2869        | 0.41  | 510  | {'accuracy': 0.88875}   | {'f1': 0.8910915320606951} | 0.2729          |
| 0.2738        | 0.42  | 515  | {'accuracy': 0.8895}    | {'f1': 0.8922476840565577} | 0.2734          |
| 0.2761        | 0.42  | 520  | {'accuracy': 0.8885625} | {'f1': 0.8910745922169956} | 0.2806          |
| 0.2799        | 0.42  | 525  | {'accuracy': 0.887125}  | {'f1': 0.8902394554515619} | 0.2737          |
| 0.2715        | 0.43  | 530  | {'accuracy': 0.887375}  | {'f1': 0.8908275778504786} | 0.2832          |
| 0.2916        | 0.43  | 535  | {'accuracy': 0.8883125} | {'f1': 0.8874330708661419} | 0.2678          |
| 0.3006        | 0.44  | 540  | {'accuracy': 0.8865625} | {'f1': 0.8856548856548856} | 0.2805          |
| 0.3071        | 0.44  | 545  | {'accuracy': 0.8886875} | {'f1': 0.8871141535146099} | 0.2661          |
| 0.2785        | 0.44  | 550  | {'accuracy': 0.8895625} | {'f1': 0.8904865199876045} | 0.2718          |
| 0.2876        | 0.45  | 555  | {'accuracy': 0.890125}  | {'f1': 0.8912935938659411} | 0.2697          |
| 0.2713        | 0.45  | 560  | {'accuracy': 0.8879375} | {'f1': 0.8907573265094741} | 0.2729          |
| 0.268         | 0.46  | 565  | {'accuracy': 0.8875}    | {'f1': 0.889651790093183}  | 0.2716          |
| 0.2672        | 0.46  | 570  | {'accuracy': 0.884625}  | {'f1': 0.8837385061090818} | 0.2699          |
| 0.2863        | 0.46  | 575  | {'accuracy': 0.8838125} | {'f1': 0.8803501319431035} | 0.2787          |
| 0.2882        | 0.47  | 580  | {'accuracy': 0.889125}  | {'f1': 0.8897588864031818} | 0.2730          |
| 0.296         | 0.47  | 585  | {'accuracy': 0.887625}  | {'f1': 0.8862745098039215} | 0.2688          |
| 0.2941        | 0.48  | 590  | {'accuracy': 0.8888125} | {'f1': 0.889303714765727}  | 0.2733          |
| 0.2811        | 0.48  | 595  | {'accuracy': 0.8895625} | {'f1': 0.8909595803764271} | 0.2712          |
| 0.2843        | 0.48  | 600  | {'accuracy': 0.88675}   | {'f1': 0.8838163631700436} | 0.2829          |
| 0.2878        | 0.49  | 605  | {'accuracy': 0.8881875} | {'f1': 0.88924657958274}   | 0.2681          |
| 0.2885        | 0.49  | 610  | {'accuracy': 0.8854375} | {'f1': 0.8897973907292731} | 0.2845          |
| 0.2929        | 0.5   | 615  | {'accuracy': 0.8864375} | {'f1': 0.8887119495314509} | 0.2728          |
| 0.2822        | 0.5   | 620  | {'accuracy': 0.88825}   | {'f1': 0.887433895744145}  | 0.2707          |
| 0.2869        | 0.51  | 625  | {'accuracy': 0.8871875} | {'f1': 0.8850245238550226} | 0.2704          |
| 0.3071        | 0.51  | 630  | {'accuracy': 0.8851875} | {'f1': 0.8883757671507564} | 0.2815          |
| 0.2655        | 0.51  | 635  | {'accuracy': 0.887875}  | {'f1': 0.8896814659943426} | 0.2701          |
| 0.2833        | 0.52  | 640  | {'accuracy': 0.88925}   | {'f1': 0.8893468215311602} | 0.2672          |
| 0.279         | 0.52  | 645  | {'accuracy': 0.8900625} | {'f1': 0.8901380301043033} | 0.2638          |
| 0.2966        | 0.53  | 650  | {'accuracy': 0.8893125} | {'f1': 0.8885252092906151} | 0.2644          |
| 0.2683        | 0.53  | 655  | {'accuracy': 0.8888125} | {'f1': 0.8904084272777675} | 0.2770          |
| 0.299         | 0.53  | 660  | {'accuracy': 0.887875}  | {'f1': 0.8888062476757159} | 0.2661          |
| 0.2592        | 0.54  | 665  | {'accuracy': 0.8898125} | {'f1': 0.8908156313866354} | 0.2766          |
| 0.3133        | 0.54  | 670  | {'accuracy': 0.88725}   | {'f1': 0.8887518500246671} | 0.2667          |
| 0.3205        | 0.55  | 675  | {'accuracy': 0.8895625} | {'f1': 0.8912146770916702} | 0.2786          |
| 0.2799        | 0.55  | 680  | {'accuracy': 0.88825}   | {'f1': 0.8873061893356865} | 0.2675          |
| 0.2677        | 0.55  | 685  | {'accuracy': 0.88975}   | {'f1': 0.8892098982539882} | 0.2775          |
| 0.258         | 0.56  | 690  | {'accuracy': 0.8906875} | {'f1': 0.8913192071086808} | 0.2649          |
| 0.2746        | 0.56  | 695  | {'accuracy': 0.8896875} | {'f1': 0.89093493171847}   | 0.2729          |
| 0.2525        | 0.57  | 700  | {'accuracy': 0.88775}   | {'f1': 0.8904878048780488} | 0.2693          |
| 0.274         | 0.57  | 705  | {'accuracy': 0.88425}   | {'f1': 0.8840616001001628} | 0.2703          |
| 0.2831        | 0.57  | 710  | {'accuracy': 0.8889375} | {'f1': 0.8912284997245516} | 0.2672          |
| 0.2827        | 0.58  | 715  | {'accuracy': 0.8895625} | {'f1': 0.8908652955345562} | 0.2707          |
| 0.2877        | 0.58  | 720  | {'accuracy': 0.8890625} | {'f1': 0.8902356069507142} | 0.2699          |
| 0.2911        | 0.59  | 725  | {'accuracy': 0.88825}   | {'f1': 0.890400882677455}  | 0.2699          |
| 0.31          | 0.59  | 730  | {'accuracy': 0.8890625} | {'f1': 0.8916030534351145} | 0.2676          |
| 0.3165        | 0.59  | 735  | {'accuracy': 0.8905625} | {'f1': 0.8906103579683889} | 0.2635          |
| 0.2335        | 0.6   | 740  | {'accuracy': 0.891125}  | {'f1': 0.8915317559153175} | 0.2650          |
| 0.2433        | 0.6   | 745  | {'accuracy': 0.8900625} | {'f1': 0.8933874780289714} | 0.2695          |
| 0.2713        | 0.61  | 750  | {'accuracy': 0.889375}  | {'f1': 0.8925970873786407} | 0.2676          |
| 0.2886        | 0.61  | 755  | {'accuracy': 0.88975}   | {'f1': 0.8901071517567904} | 0.2647          |
| 0.2688        | 0.61  | 760  | {'accuracy': 0.8920625} | {'f1': 0.8928460631631197} | 0.2634          |
| 0.2465        | 0.62  | 765  | {'accuracy': 0.8925}    | {'f1': 0.8924462231115559} | 0.2627          |
| 0.2947        | 0.62  | 770  | {'accuracy': 0.891875}  | {'f1': 0.8941766576951309} | 0.2649          |
| 0.3034        | 0.63  | 775  | {'accuracy': 0.8880625} | {'f1': 0.8916449875975557} | 0.2679          |
| 0.2957        | 0.63  | 780  | {'accuracy': 0.8906875} | {'f1': 0.8924552665559861} | 0.2745          |
| 0.2627        | 0.63  | 785  | {'accuracy': 0.8875}    | {'f1': 0.8843038951021982} | 0.2658          |
| 0.2822        | 0.64  | 790  | {'accuracy': 0.8879375} | {'f1': 0.8907972470917839} | 0.2777          |
| 0.3063        | 0.64  | 795  | {'accuracy': 0.8905625} | {'f1': 0.8926491324872785} | 0.2605          |
| 0.2943        | 0.65  | 800  | {'accuracy': 0.8910625} | {'f1': 0.890080090811629}  | 0.2726          |
| 0.2507        | 0.65  | 805  | {'accuracy': 0.8905625} | {'f1': 0.8929248455940806} | 0.2668          |
| 0.2985        | 0.65  | 810  | {'accuracy': 0.8898125} | {'f1': 0.8918869197277244} | 0.2688          |
| 0.296         | 0.66  | 815  | {'accuracy': 0.89025}   | {'f1': 0.8889451049835567} | 0.2630          |
| 0.2581        | 0.66  | 820  | {'accuracy': 0.8905625} | {'f1': 0.8912354804646253} | 0.2744          |
| 0.2719        | 0.67  | 825  | {'accuracy': 0.8891875} | {'f1': 0.8927339826970779} | 0.2665          |
| 0.2666        | 0.67  | 830  | {'accuracy': 0.8931875} | {'f1': 0.8938443381576495} | 0.2671          |
| 0.2746        | 0.67  | 835  | {'accuracy': 0.8911875} | {'f1': 0.8924976844705157} | 0.2648          |
| 0.266         | 0.68  | 840  | {'accuracy': 0.89025}   | {'f1': 0.8902774306423393} | 0.2636          |
| 0.2725        | 0.68  | 845  | {'accuracy': 0.8914375} | {'f1': 0.8913084287591516} | 0.2631          |
| 0.2567        | 0.69  | 850  | {'accuracy': 0.8894375} | {'f1': 0.8909572828699993} | 0.2652          |
| 0.2333        | 0.69  | 855  | {'accuracy': 0.891125}  | {'f1': 0.8936248168050805} | 0.2667          |
| 0.2733        | 0.69  | 860  | {'accuracy': 0.8925}    | {'f1': 0.8935906953724326} | 0.2649          |
| 0.2982        | 0.7   | 865  | {'accuracy': 0.8915}    | {'f1': 0.8913778000250282} | 0.2599          |
| 0.2734        | 0.7   | 870  | {'accuracy': 0.8924375} | {'f1': 0.891481177880068}  | 0.2631          |
| 0.2888        | 0.71  | 875  | {'accuracy': 0.89175}   | {'f1': 0.8921141148623397} | 0.2583          |
| 0.2774        | 0.71  | 880  | {'accuracy': 0.891625}  | {'f1': 0.893305439330544}  | 0.2628          |
| 0.26          | 0.72  | 885  | {'accuracy': 0.890125}  | {'f1': 0.8933770014556042} | 0.2711          |
| 0.2916        | 0.72  | 890  | {'accuracy': 0.88725}   | {'f1': 0.8838078062604664} | 0.2664          |
| 0.2859        | 0.72  | 895  | {'accuracy': 0.8915625} | {'f1': 0.892656066324321}  | 0.2630          |
| 0.2943        | 0.73  | 900  | {'accuracy': 0.89125}   | {'f1': 0.8945326706267427} | 0.2660          |
| 0.2769        | 0.73  | 905  | {'accuracy': 0.890875}  | {'f1': 0.8904229948537717} | 0.2596          |
| 0.301         | 0.74  | 910  | {'accuracy': 0.892125}  | {'f1': 0.8922327672327673} | 0.2648          |
| 0.2698        | 0.74  | 915  | {'accuracy': 0.892625}  | {'f1': 0.8927858212680978} | 0.2595          |
| 0.2875        | 0.74  | 920  | {'accuracy': 0.892}     | {'f1': 0.8941824862216778} | 0.2642          |
| 0.2509        | 0.75  | 925  | {'accuracy': 0.8928125} | {'f1': 0.8945329315540249} | 0.2605          |
| 0.2861        | 0.75  | 930  | {'accuracy': 0.8908125} | {'f1': 0.8919804612625981} | 0.2611          |
| 0.2797        | 0.76  | 935  | {'accuracy': 0.8916875} | {'f1': 0.8944000974955821} | 0.2626          |
| 0.3331        | 0.76  | 940  | {'accuracy': 0.891}     | {'f1': 0.8931372549019608} | 0.2659          |
| 0.2752        | 0.76  | 945  | {'accuracy': 0.8916875} | {'f1': 0.8920047360877422} | 0.2580          |
| 0.2962        | 0.77  | 950  | {'accuracy': 0.892875}  | {'f1': 0.8959825221507464} | 0.2646          |
| 0.2889        | 0.77  | 955  | {'accuracy': 0.8930625} | {'f1': 0.895434822465318}  | 0.2614          |
| 0.2783        | 0.78  | 960  | {'accuracy': 0.8896875} | {'f1': 0.8873715780741497} | 0.2646          |
| 0.2747        | 0.78  | 965  | {'accuracy': 0.8933125} | {'f1': 0.8941001302810347} | 0.2604          |
| 0.2801        | 0.78  | 970  | {'accuracy': 0.893125}  | {'f1': 0.8923851478917558} | 0.2599          |
| 0.2498        | 0.79  | 975  | {'accuracy': 0.8928125} | {'f1': 0.8929262658425423} | 0.2637          |
| 0.2704        | 0.79  | 980  | {'accuracy': 0.8910625} | {'f1': 0.8931919848029904} | 0.2646          |
| 0.2875        | 0.8   | 985  | {'accuracy': 0.89225}   | {'f1': 0.8936852491366551} | 0.2655          |
| 0.2451        | 0.8   | 990  | {'accuracy': 0.89375}   | {'f1': 0.8954746679783571} | 0.2586          |
| 0.287         | 0.8   | 995  | {'accuracy': 0.891875}  | {'f1': 0.8900470319054278} | 0.2621          |
| 0.2942        | 0.81  | 1000 | {'accuracy': 0.8919375} | {'f1': 0.8934491896222346} | 0.2597          |
| 0.284         | 0.81  | 1005 | {'accuracy': 0.8915}    | {'f1': 0.8929188255613126} | 0.2627          |
| 0.2629        | 0.82  | 1010 | {'accuracy': 0.8923125} | {'f1': 0.8931472868217055} | 0.2582          |
| 0.2459        | 0.82  | 1015 | {'accuracy': 0.8895}    | {'f1': 0.8890144381669806} | 0.2605          |
| 0.2554        | 0.82  | 1020 | {'accuracy': 0.890125}  | {'f1': 0.8891271442986882} | 0.2564          |
| 0.2696        | 0.83  | 1025 | {'accuracy': 0.8938125} | {'f1': 0.894399900553173}  | 0.2543          |
| 0.265         | 0.83  | 1030 | {'accuracy': 0.8935}    | {'f1': 0.895690499510284}  | 0.2576          |
| 0.2588        | 0.84  | 1035 | {'accuracy': 0.89375}   | {'f1': 0.8945409429280397} | 0.2605          |
| 0.2631        | 0.84  | 1040 | {'accuracy': 0.891125}  | {'f1': 0.8938969423803143} | 0.2614          |
| 0.2774        | 0.84  | 1045 | {'accuracy': 0.8928125} | {'f1': 0.8935245545415038} | 0.2595          |
| 0.2581        | 0.85  | 1050 | {'accuracy': 0.8925625} | {'f1': 0.8923808927565267} | 0.2608          |
| 0.2706        | 0.85  | 1055 | {'accuracy': 0.8934375} | {'f1': 0.895147899883156}  | 0.2590          |
| 0.3022        | 0.86  | 1060 | {'accuracy': 0.8954375} | {'f1': 0.8949714357461234} | 0.2558          |
| 0.2988        | 0.86  | 1065 | {'accuracy': 0.8944375} | {'f1': 0.8938470240713972} | 0.2621          |
| 0.2775        | 0.86  | 1070 | {'accuracy': 0.8931875} | {'f1': 0.8938179558869215} | 0.2589          |
| 0.2571        | 0.87  | 1075 | {'accuracy': 0.8943125} | {'f1': 0.8950276243093922} | 0.2568          |
| 0.2679        | 0.87  | 1080 | {'accuracy': 0.8920625} | {'f1': 0.8911303032213326} | 0.2551          |
| 0.2729        | 0.88  | 1085 | {'accuracy': 0.8935}    | {'f1': 0.8946196660482375} | 0.2632          |
| 0.2833        | 0.88  | 1090 | {'accuracy': 0.8945625} | {'f1': 0.8961398756387368} | 0.2579          |
| 0.2895        | 0.88  | 1095 | {'accuracy': 0.8938125} | {'f1': 0.8941762690750545} | 0.2593          |
| 0.2941        | 0.89  | 1100 | {'accuracy': 0.89425}   | {'f1': 0.8938785750125439} | 0.2576          |
| 0.2902        | 0.89  | 1105 | {'accuracy': 0.8925625} | {'f1': 0.8932497050239085} | 0.2563          |
| 0.2491        | 0.9   | 1110 | {'accuracy': 0.8905}    | {'f1': 0.8902668169860953} | 0.2608          |
| 0.297         | 0.9   | 1115 | {'accuracy': 0.8888125} | {'f1': 0.8883169062715801} | 0.2569          |
| 0.2431        | 0.91  | 1120 | {'accuracy': 0.891375}  | {'f1': 0.8939726695949244} | 0.2655          |
| 0.2581        | 0.91  | 1125 | {'accuracy': 0.8909375} | {'f1': 0.8903825617187009} | 0.2594          |
| 0.2593        | 0.91  | 1130 | {'accuracy': 0.890875}  | {'f1': 0.8887331124139689} | 0.2633          |
| 0.2551        | 0.92  | 1135 | {'accuracy': 0.8924375} | {'f1': 0.8948236875878506} | 0.2667          |
| 0.2633        | 0.92  | 1140 | {'accuracy': 0.8919375} | {'f1': 0.8952819332566168} | 0.2599          |
| 0.2596        | 0.93  | 1145 | {'accuracy': 0.8934375} | {'f1': 0.8947855600123419} | 0.2547          |
| 0.2613        | 0.93  | 1150 | {'accuracy': 0.893875}  | {'f1': 0.8946911436368147} | 0.2524          |
| 0.2694        | 0.93  | 1155 | {'accuracy': 0.8935625} | {'f1': 0.894295822729812}  | 0.2579          |
| 0.2483        | 0.94  | 1160 | {'accuracy': 0.89075}   | {'f1': 0.892510146353462}  | 0.2604          |
| 0.2636        | 0.94  | 1165 | {'accuracy': 0.8924375} | {'f1': 0.8941379098234606} | 0.2565          |
| 0.2451        | 0.95  | 1170 | {'accuracy': 0.8934375} | {'f1': 0.8941585449127817} | 0.2614          |
| 0.2702        | 0.95  | 1175 | {'accuracy': 0.891875}  | {'f1': 0.8897386870618229} | 0.2596          |
| 0.2581        | 0.95  | 1180 | {'accuracy': 0.895}     | {'f1': 0.8947368421052632} | 0.2529          |
| 0.2686        | 0.96  | 1185 | {'accuracy': 0.8950625} | {'f1': 0.8966196662767072} | 0.2594          |
| 0.2591        | 0.96  | 1190 | {'accuracy': 0.8933125} | {'f1': 0.8917908082408875} | 0.2534          |
| 0.2442        | 0.97  | 1195 | {'accuracy': 0.8940625} | {'f1': 0.8957115609425952} | 0.2705          |
| 0.3009        | 0.97  | 1200 | {'accuracy': 0.895}     | {'f1': 0.8958074919374845} | 0.2525          |
| 0.2773        | 0.97  | 1205 | {'accuracy': 0.89475}   | {'f1': 0.8945522855353789} | 0.2539          |
| 0.2613        | 0.98  | 1210 | {'accuracy': 0.894375}  | {'f1': 0.8957047642557393} | 0.2571          |
| 0.2746        | 0.98  | 1215 | {'accuracy': 0.894625}  | {'f1': 0.8950578862193452} | 0.2544          |
| 0.2616        | 0.99  | 1220 | {'accuracy': 0.893875}  | {'f1': 0.8933685003767897} | 0.2565          |
| 0.2444        | 0.99  | 1225 | {'accuracy': 0.894875}  | {'f1': 0.8942936148818502} | 0.2556          |
| 0.2583        | 0.99  | 1230 | {'accuracy': 0.893875}  | {'f1': 0.8957642725598527} | 0.2563          |
| 0.2639        | 1.0   | 1235 | {'accuracy': 0.894625}  | {'f1': 0.8963609540201622} | 0.2577          |
| 0.2581        | 1.0   | 1240 | {'accuracy': 0.8945625} | {'f1': 0.895431723795946}  | 0.2559          |
| 0.2438        | 1.01  | 1245 | {'accuracy': 0.8935625} | {'f1': 0.8917974458351865} | 0.2657          |
| 0.2432        | 1.01  | 1250 | {'accuracy': 0.897125}  | {'f1': 0.8974454828660435} | 0.2554          |
| 0.2441        | 1.01  | 1255 | {'accuracy': 0.892625}  | {'f1': 0.8958030082484231} | 0.2704          |
| 0.2339        | 1.02  | 1260 | {'accuracy': 0.8963125} | {'f1': 0.8966677047648708} | 0.2543          |
| 0.2645        | 1.02  | 1265 | {'accuracy': 0.894125}  | {'f1': 0.8945336819823185} | 0.2606          |
| 0.2435        | 1.03  | 1270 | {'accuracy': 0.894}     | {'f1': 0.8960784313725491} | 0.2607          |
| 0.2049        | 1.03  | 1275 | {'accuracy': 0.8948125} | {'f1': 0.8963606133382598} | 0.2625          |
| 0.261         | 1.03  | 1280 | {'accuracy': 0.895625}  | {'f1': 0.8958463265560684} | 0.2678          |
| 0.2447        | 1.04  | 1285 | {'accuracy': 0.8921875} | {'f1': 0.8898115618013416} | 0.2541          |
| 0.2647        | 1.04  | 1290 | {'accuracy': 0.892375}  | {'f1': 0.8967006598680263} | 0.2693          |
| 0.2464        | 1.05  | 1295 | {'accuracy': 0.894}     | {'f1': 0.8929022480424349} | 0.2640          |
| 0.2345        | 1.05  | 1300 | {'accuracy': 0.895125}  | {'f1': 0.894544997486174}  | 0.2545          |
| 0.2168        | 1.05  | 1305 | {'accuracy': 0.895625}  | {'f1': 0.8981707317073172} | 0.2687          |
| 0.2499        | 1.06  | 1310 | {'accuracy': 0.8951875} | {'f1': 0.8944552835294858} | 0.2571          |
| 0.2605        | 1.06  | 1315 | {'accuracy': 0.895875}  | {'f1': 0.8972366148531952} | 0.2523          |
| 0.2483        | 1.07  | 1320 | {'accuracy': 0.895875}  | {'f1': 0.8964831614266188} | 0.2626          |
| 0.2602        | 1.07  | 1325 | {'accuracy': 0.89575}   | {'f1': 0.8942027147025244} | 0.2574          |
| 0.2129        | 1.07  | 1330 | {'accuracy': 0.8960625} | {'f1': 0.8962764298634067} | 0.2602          |
| 0.2545        | 1.08  | 1335 | {'accuracy': 0.8961875} | {'f1': 0.8967232481502208} | 0.2599          |
| 0.2481        | 1.08  | 1340 | {'accuracy': 0.8945625} | {'f1': 0.8973032203080294} | 0.2610          |
| 0.272         | 1.09  | 1345 | {'accuracy': 0.896}     | {'f1': 0.8952800503461298} | 0.2558          |
| 0.2462        | 1.09  | 1350 | {'accuracy': 0.8954375} | {'f1': 0.8946407204483909} | 0.2602          |
| 0.2538        | 1.09  | 1355 | {'accuracy': 0.89475}   | {'f1': 0.8976416241186483} | 0.2646          |
| 0.2124        | 1.1   | 1360 | {'accuracy': 0.895375}  | {'f1': 0.8954142196676246} | 0.2573          |
| 0.2058        | 1.1   | 1365 | {'accuracy': 0.895875}  | {'f1': 0.8953254586579542} | 0.2621          |
| 0.2283        | 1.11  | 1370 | {'accuracy': 0.8943125} | {'f1': 0.8966697219676137} | 0.2587          |
| 0.2252        | 1.11  | 1375 | {'accuracy': 0.89475}   | {'f1': 0.895856524427953}  | 0.2632          |
| 0.2476        | 1.12  | 1380 | {'accuracy': 0.895625}  | {'f1': 0.8955858446917595} | 0.2586          |
| 0.2404        | 1.12  | 1385 | {'accuracy': 0.8940625} | {'f1': 0.8956473557840301} | 0.2586          |
| 0.247         | 1.12  | 1390 | {'accuracy': 0.8979375} | {'f1': 0.8978033669190812} | 0.2541          |
| 0.2379        | 1.13  | 1395 | {'accuracy': 0.8959375} | {'f1': 0.8961775893246867} | 0.2628          |
| 0.2323        | 1.13  | 1400 | {'accuracy': 0.8945625} | {'f1': 0.896964514749893}  | 0.2556          |
| 0.1995        | 1.14  | 1405 | {'accuracy': 0.89475}   | {'f1': 0.8959594711479055} | 0.2669          |
| 0.2198        | 1.14  | 1410 | {'accuracy': 0.8929375} | {'f1': 0.8922031338493488} | 0.2643          |
| 0.232         | 1.14  | 1415 | {'accuracy': 0.8946875} | {'f1': 0.8957624497370863} | 0.2551          |
| 0.2386        | 1.15  | 1420 | {'accuracy': 0.8928125} | {'f1': 0.8961298528253892} | 0.2904          |
| 0.2487        | 1.15  | 1425 | {'accuracy': 0.895}     | {'f1': 0.8943396226415095} | 0.2574          |
| 0.2417        | 1.16  | 1430 | {'accuracy': 0.8960625} | {'f1': 0.8966759863311586} | 0.2603          |
| 0.2667        | 1.16  | 1435 | {'accuracy': 0.895125}  | {'f1': 0.8955168119551681} | 0.2588          |
| 0.2226        | 1.16  | 1440 | {'accuracy': 0.896}     | {'f1': 0.8958568031042683} | 0.2538          |
| 0.2393        | 1.17  | 1445 | {'accuracy': 0.8951875} | {'f1': 0.8960773377951292} | 0.2582          |
| 0.2505        | 1.17  | 1450 | {'accuracy': 0.8950625} | {'f1': 0.8972523101401384} | 0.2612          |
| 0.2536        | 1.18  | 1455 | {'accuracy': 0.8958125} | {'f1': 0.8964017152445466} | 0.2588          |
| 0.2186        | 1.18  | 1460 | {'accuracy': 0.896125}  | {'f1': 0.8967830083219476} | 0.2606          |
| 0.2493        | 1.18  | 1465 | {'accuracy': 0.8955625} | {'f1': 0.8962434026699783} | 0.2555          |
| 0.2357        | 1.19  | 1470 | {'accuracy': 0.8953125} | {'f1': 0.8952404778285071} | 0.2652          |
| 0.2477        | 1.19  | 1475 | {'accuracy': 0.897125}  | {'f1': 0.8982443125618199} | 0.2552          |
| 0.2431        | 1.2   | 1480 | {'accuracy': 0.89475}   | {'f1': 0.8948682731926582} | 0.2595          |
| 0.2347        | 1.2   | 1485 | {'accuracy': 0.89325}   | {'f1': 0.8943984172128107} | 0.2624          |
| 0.2514        | 1.2   | 1490 | {'accuracy': 0.8925625} | {'f1': 0.8918935915980127} | 0.2620          |
| 0.2273        | 1.21  | 1495 | {'accuracy': 0.8905}    | {'f1': 0.8938824954572987} | 0.2711          |
| 0.2264        | 1.21  | 1500 | {'accuracy': 0.8935625} | {'f1': 0.8940854530754401} | 0.2606          |
| 0.2361        | 1.22  | 1505 | {'accuracy': 0.8954375} | {'f1': 0.8959771186967606} | 0.2620          |
| 0.252         | 1.22  | 1510 | {'accuracy': 0.8955}    | {'f1': 0.8949748743718592} | 0.2595          |
| 0.2239        | 1.22  | 1515 | {'accuracy': 0.8951875} | {'f1': 0.8970976253298153} | 0.2624          |
| 0.2426        | 1.23  | 1520 | {'accuracy': 0.895625}  | {'f1': 0.8957683185619773} | 0.2646          |
| 0.2185        | 1.23  | 1525 | {'accuracy': 0.89625}   | {'f1': 0.8957940991839297} | 0.2570          |
| 0.2302        | 1.24  | 1530 | {'accuracy': 0.8941875} | {'f1': 0.8961795547924204} | 0.2677          |
| 0.239         | 1.24  | 1535 | {'accuracy': 0.8950625} | {'f1': 0.8957337142147426} | 0.2561          |
| 0.2526        | 1.24  | 1540 | {'accuracy': 0.895625}  | {'f1': 0.8951663527934715} | 0.2587          |
| 0.2366        | 1.25  | 1545 | {'accuracy': 0.89425}   | {'f1': 0.8961963190184048} | 0.2615          |
| 0.2575        | 1.25  | 1550 | {'accuracy': 0.896125}  | {'f1': 0.89705153617443}   | 0.2567          |
| 0.246         | 1.26  | 1555 | {'accuracy': 0.8964375} | {'f1': 0.8967408238299993} | 0.2573          |
| 0.2357        | 1.26  | 1560 | {'accuracy': 0.8965}    | {'f1': 0.8983550208691382} | 0.2608          |
| 0.2196        | 1.26  | 1565 | {'accuracy': 0.895375}  | {'f1': 0.8942246935422723} | 0.2539          |
| 0.2432        | 1.27  | 1570 | {'accuracy': 0.895125}  | {'f1': 0.8954126153079033} | 0.2648          |
| 0.2324        | 1.27  | 1575 | {'accuracy': 0.8945}    | {'f1': 0.8961869618696188} | 0.2615          |
| 0.2321        | 1.28  | 1580 | {'accuracy': 0.895125}  | {'f1': 0.896355775169858}  | 0.2554          |
| 0.2328        | 1.28  | 1585 | {'accuracy': 0.8946875} | {'f1': 0.8954130718142884} | 0.2635          |
| 0.2448        | 1.28  | 1590 | {'accuracy': 0.8963125} | {'f1': 0.8980018444512757} | 0.2534          |
| 0.256         | 1.29  | 1595 | {'accuracy': 0.89575}   | {'f1': 0.8983174835405998} | 0.2565          |
| 0.2366        | 1.29  | 1600 | {'accuracy': 0.8940625} | {'f1': 0.8932552427734743} | 0.2567          |
| 0.2524        | 1.3   | 1605 | {'accuracy': 0.8950625} | {'f1': 0.8933087627883333} | 0.2590          |
| 0.2322        | 1.3   | 1610 | {'accuracy': 0.89025}   | {'f1': 0.8942550885222209} | 0.2691          |
| 0.238         | 1.31  | 1615 | {'accuracy': 0.89275}   | {'f1': 0.8901689708141322} | 0.2596          |
| 0.2457        | 1.31  | 1620 | {'accuracy': 0.89625}   | {'f1': 0.8980093389039076} | 0.2602          |
| 0.2636        | 1.31  | 1625 | {'accuracy': 0.89525}   | {'f1': 0.894710390752607}  | 0.2538          |
| 0.2525        | 1.32  | 1630 | {'accuracy': 0.8959375} | {'f1': 0.896306906645077}  | 0.2552          |
| 0.238         | 1.32  | 1635 | {'accuracy': 0.8953125} | {'f1': 0.8966750971562519} | 0.2599          |
| 0.2412        | 1.33  | 1640 | {'accuracy': 0.8975}    | {'f1': 0.8965560741768639} | 0.2523          |
| 0.2241        | 1.33  | 1645 | {'accuracy': 0.89625}   | {'f1': 0.8981969827057524} | 0.2591          |
| 0.248         | 1.33  | 1650 | {'accuracy': 0.8963125} | {'f1': 0.898835294835051}  | 0.2648          |
| 0.235         | 1.34  | 1655 | {'accuracy': 0.895625}  | {'f1': 0.896066716455066}  | 0.2524          |
| 0.2544        | 1.34  | 1660 | {'accuracy': 0.8963125} | {'f1': 0.8965517241379309} | 0.2600          |
| 0.2436        | 1.35  | 1665 | {'accuracy': 0.892}     | {'f1': 0.8957780458383594} | 0.2650          |
| 0.2365        | 1.35  | 1670 | {'accuracy': 0.8949375} | {'f1': 0.8930593549207966} | 0.2662          |
| 0.2404        | 1.35  | 1675 | {'accuracy': 0.8950625} | {'f1': 0.8968609865470851} | 0.2632          |
| 0.2424        | 1.36  | 1680 | {'accuracy': 0.8958125} | {'f1': 0.8967610082368241} | 0.2569          |
| 0.2525        | 1.36  | 1685 | {'accuracy': 0.89675}   | {'f1': 0.8972125435540069} | 0.2554          |
| 0.2395        | 1.37  | 1690 | {'accuracy': 0.8955625} | {'f1': 0.8974783729063133} | 0.2582          |
| 0.2178        | 1.37  | 1695 | {'accuracy': 0.8981875} | {'f1': 0.8987003295814937} | 0.2549          |
| 0.2156        | 1.37  | 1700 | {'accuracy': 0.89675}   | {'f1': 0.8967112667250219} | 0.2613          |
| 0.2378        | 1.38  | 1705 | {'accuracy': 0.8956875} | {'f1': 0.8966371462191118} | 0.2550          |
| 0.2253        | 1.38  | 1710 | {'accuracy': 0.8945}    | {'f1': 0.8936759889140842} | 0.2583          |
| 0.2391        | 1.39  | 1715 | {'accuracy': 0.894875}  | {'f1': 0.8968224757698442} | 0.2595          |
| 0.2353        | 1.39  | 1720 | {'accuracy': 0.8956875} | {'f1': 0.8966883317858247} | 0.2565          |
| 0.2338        | 1.39  | 1725 | {'accuracy': 0.89575}   | {'f1': 0.8956717538153616} | 0.2559          |
| 0.2387        | 1.4   | 1730 | {'accuracy': 0.8954375} | {'f1': 0.8976946126093072} | 0.2582          |
| 0.266         | 1.4   | 1735 | {'accuracy': 0.8948125} | {'f1': 0.8966025680407937} | 0.2557          |
| 0.2259        | 1.41  | 1740 | {'accuracy': 0.89675}   | {'f1': 0.8978733926805142} | 0.2539          |
| 0.2592        | 1.41  | 1745 | {'accuracy': 0.897375}  | {'f1': 0.8982021078735276} | 0.2587          |
| 0.2504        | 1.41  | 1750 | {'accuracy': 0.8969375} | {'f1': 0.8983416558781826} | 0.2548          |
| 0.2252        | 1.42  | 1755 | {'accuracy': 0.895875}  | {'f1': 0.8948497854077253} | 0.2584          |
| 0.249         | 1.42  | 1760 | {'accuracy': 0.8950625} | {'f1': 0.8965814598090546} | 0.2573          |
| 0.2343        | 1.43  | 1765 | {'accuracy': 0.8965}    | {'f1': 0.8964741185296323} | 0.2583          |
| 0.2371        | 1.43  | 1770 | {'accuracy': 0.89675}   | {'f1': 0.8967629046369203} | 0.2504          |
| 0.2397        | 1.43  | 1775 | {'accuracy': 0.89875}   | {'f1': 0.8984071240436474} | 0.2528          |
| 0.2396        | 1.44  | 1780 | {'accuracy': 0.8984375} | {'f1': 0.8991998015011475} | 0.2527          |
| 0.2402        | 1.44  | 1785 | {'accuracy': 0.8970625} | {'f1': 0.8961865742199812} | 0.2488          |
| 0.2364        | 1.45  | 1790 | {'accuracy': 0.89675}   | {'f1': 0.8972125435540069} | 0.2673          |
| 0.2475        | 1.45  | 1795 | {'accuracy': 0.8930625} | {'f1': 0.8952427600563276} | 0.2529          |
| 0.2415        | 1.45  | 1800 | {'accuracy': 0.895625}  | {'f1': 0.8942100595464335} | 0.2556          |
| 0.275         | 1.46  | 1805 | {'accuracy': 0.89625}   | {'f1': 0.8974422340294081} | 0.2575          |
| 0.2461        | 1.46  | 1810 | {'accuracy': 0.8951875} | {'f1': 0.895780249829097}  | 0.2554          |
| 0.2233        | 1.47  | 1815 | {'accuracy': 0.8965625} | {'f1': 0.8970579088138334} | 0.2568          |
| 0.246         | 1.47  | 1820 | {'accuracy': 0.8964375} | {'f1': 0.897671833508306}  | 0.2492          |
| 0.2345        | 1.47  | 1825 | {'accuracy': 0.8975625} | {'f1': 0.897041271436648}  | 0.2543          |
| 0.2587        | 1.48  | 1830 | {'accuracy': 0.8973125} | {'f1': 0.8975238570448449} | 0.2544          |
| 0.2278        | 1.48  | 1835 | {'accuracy': 0.8959375} | {'f1': 0.8983330280271112} | 0.2540          |
| 0.2559        | 1.49  | 1840 | {'accuracy': 0.896125}  | {'f1': 0.8956292388847023} | 0.2522          |
| 0.2388        | 1.49  | 1845 | {'accuracy': 0.8959375} | {'f1': 0.897519542069305}  | 0.2601          |
| 0.2701        | 1.49  | 1850 | {'accuracy': 0.896875}  | {'f1': 0.8961611076148521} | 0.2553          |
| 0.2292        | 1.5   | 1855 | {'accuracy': 0.895875}  | {'f1': 0.8959660297239915} | 0.2544          |
| 0.2772        | 1.5   | 1860 | {'accuracy': 0.896625}  | {'f1': 0.8983030004918839} | 0.2527          |
| 0.2279        | 1.51  | 1865 | {'accuracy': 0.8973125} | {'f1': 0.8971904136161694} | 0.2518          |
| 0.2192        | 1.51  | 1870 | {'accuracy': 0.89675}   | {'f1': 0.8968917738110098} | 0.2564          |
| 0.248         | 1.52  | 1875 | {'accuracy': 0.8958125} | {'f1': 0.8968376755987375} | 0.2518          |
| 0.2304        | 1.52  | 1880 | {'accuracy': 0.8956875} | {'f1': 0.8976889597253724} | 0.2554          |
| 0.2517        | 1.52  | 1885 | {'accuracy': 0.8965625} | {'f1': 0.8977069040113728} | 0.2576          |
| 0.2438        | 1.53  | 1890 | {'accuracy': 0.8975}    | {'f1': 0.8987029030265596} | 0.2529          |
| 0.2226        | 1.53  | 1895 | {'accuracy': 0.89525}   | {'f1': 0.8980163076548618} | 0.2609          |
| 0.2441        | 1.54  | 1900 | {'accuracy': 0.8964375} | {'f1': 0.8958843857995601} | 0.2547          |
| 0.2526        | 1.54  | 1905 | {'accuracy': 0.898125}  | {'f1': 0.89987714987715}   | 0.2533          |
| 0.2382        | 1.54  | 1910 | {'accuracy': 0.8984375} | {'f1': 0.898709717633859}  | 0.2544          |
| 0.2336        | 1.55  | 1915 | {'accuracy': 0.8979375} | {'f1': 0.8982998069377841} | 0.2571          |
| 0.2448        | 1.55  | 1920 | {'accuracy': 0.8971875} | {'f1': 0.8976671850699844} | 0.2522          |
| 0.2392        | 1.56  | 1925 | {'accuracy': 0.898125}  | {'f1': 0.8985940027373397} | 0.2558          |
| 0.2589        | 1.56  | 1930 | {'accuracy': 0.899125}  | {'f1': 0.9008721287311141} | 0.2557          |
| 0.2181        | 1.56  | 1935 | {'accuracy': 0.89775}   | {'f1': 0.8967171717171718} | 0.2537          |
| 0.2653        | 1.57  | 1940 | {'accuracy': 0.8965}    | {'f1': 0.897891231964484}  | 0.2557          |
| 0.235         | 1.57  | 1945 | {'accuracy': 0.8971875} | {'f1': 0.8981108702384639} | 0.2548          |
| 0.2663        | 1.58  | 1950 | {'accuracy': 0.8980625} | {'f1': 0.898437013512672}  | 0.2550          |
| 0.2476        | 1.58  | 1955 | {'accuracy': 0.899875}  | {'f1': 0.9009398961167451} | 0.2486          |
| 0.2655        | 1.58  | 1960 | {'accuracy': 0.8983125} | {'f1': 0.8994996602631415} | 0.2572          |
| 0.2278        | 1.59  | 1965 | {'accuracy': 0.89675}   | {'f1': 0.8969560878243513} | 0.2511          |
| 0.2125        | 1.59  | 1970 | {'accuracy': 0.8965625} | {'f1': 0.8961666352970701} | 0.2527          |
| 0.2389        | 1.6   | 1975 | {'accuracy': 0.894125}  | {'f1': 0.8973457762695431} | 0.2617          |
| 0.264         | 1.6   | 1980 | {'accuracy': 0.897125}  | {'f1': 0.8965820557929128} | 0.2504          |
| 0.226         | 1.6   | 1985 | {'accuracy': 0.8975}    | {'f1': 0.9001461276181199} | 0.2559          |
| 0.2381        | 1.61  | 1990 | {'accuracy': 0.8971875} | {'f1': 0.8976544515647359} | 0.2532          |
| 0.2675        | 1.61  | 1995 | {'accuracy': 0.8975625} | {'f1': 0.8990577077046252} | 0.2565          |
| 0.2397        | 1.62  | 2000 | {'accuracy': 0.8984375} | {'f1': 0.8983167511419813} | 0.2531          |
| 0.2459        | 1.62  | 2005 | {'accuracy': 0.896375}  | {'f1': 0.8989763587618816} | 0.2579          |
| 0.2365        | 1.62  | 2010 | {'accuracy': 0.897875}  | {'f1': 0.8993222427603204} | 0.2526          |
| 0.2127        | 1.63  | 2015 | {'accuracy': 0.8984375} | {'f1': 0.8980871746629038} | 0.2501          |
| 0.2365        | 1.63  | 2020 | {'accuracy': 0.897875}  | {'f1': 0.8986855158730159} | 0.2587          |
| 0.226         | 1.64  | 2025 | {'accuracy': 0.895625}  | {'f1': 0.8940892947742263} | 0.2499          |
| 0.2411        | 1.64  | 2030 | {'accuracy': 0.8958125} | {'f1': 0.897623288091875}  | 0.2568          |
| 0.249         | 1.64  | 2035 | {'accuracy': 0.8961875} | {'f1': 0.8974881194840462} | 0.2605          |
| 0.2433        | 1.65  | 2040 | {'accuracy': 0.89725}   | {'f1': 0.8983176645225136} | 0.2497          |
| 0.2222        | 1.65  | 2045 | {'accuracy': 0.897375}  | {'f1': 0.8971693386773548} | 0.2541          |
| 0.2207        | 1.66  | 2050 | {'accuracy': 0.8969375} | {'f1': 0.8962697364282569} | 0.2594          |
| 0.2465        | 1.66  | 2055 | {'accuracy': 0.8978125} | {'f1': 0.8991301129002405} | 0.2512          |
| 0.2308        | 1.66  | 2060 | {'accuracy': 0.896875}  | {'f1': 0.8969522857856608} | 0.2551          |
| 0.2264        | 1.67  | 2065 | {'accuracy': 0.8971875} | {'f1': 0.8990487879717705} | 0.2562          |
| 0.244         | 1.67  | 2070 | {'accuracy': 0.898875}  | {'f1': 0.8983412917818547} | 0.2532          |
| 0.2242        | 1.68  | 2075 | {'accuracy': 0.89925}   | {'f1': 0.9005061103567461} | 0.2540          |
| 0.2385        | 1.68  | 2080 | {'accuracy': 0.8990625} | {'f1': 0.9002039176914046} | 0.2535          |
| 0.2271        | 1.68  | 2085 | {'accuracy': 0.900125}  | {'f1': 0.9005352919208266} | 0.2492          |
| 0.1976        | 1.69  | 2090 | {'accuracy': 0.898375}  | {'f1': 0.8996791707798617} | 0.2617          |
| 0.2139        | 1.69  | 2095 | {'accuracy': 0.897625}  | {'f1': 0.8977400424522411} | 0.2484          |
| 0.2637        | 1.7   | 2100 | {'accuracy': 0.89775}   | {'f1': 0.8969383898198311} | 0.2473          |
| 0.2372        | 1.7   | 2105 | {'accuracy': 0.897375}  | {'f1': 0.8988293284041897} | 0.2553          |
| 0.2197        | 1.71  | 2110 | {'accuracy': 0.898125}  | {'f1': 0.8972386836464505} | 0.2569          |
| 0.2418        | 1.71  | 2115 | {'accuracy': 0.8984375} | {'f1': 0.8989490703314471} | 0.2469          |
| 0.2435        | 1.71  | 2120 | {'accuracy': 0.896875}  | {'f1': 0.8995372625426206} | 0.2552          |
| 0.2232        | 1.72  | 2125 | {'accuracy': 0.897875}  | {'f1': 0.8967652261814506} | 0.2555          |
| 0.245         | 1.72  | 2130 | {'accuracy': 0.898125}  | {'f1': 0.8996923076923077} | 0.2487          |
| 0.2598        | 1.73  | 2135 | {'accuracy': 0.8985625} | {'f1': 0.8977122329362829} | 0.2546          |
| 0.2378        | 1.73  | 2140 | {'accuracy': 0.898875}  | {'f1': 0.9002957850628542} | 0.2564          |
| 0.2261        | 1.73  | 2145 | {'accuracy': 0.8986875} | {'f1': 0.9000554904741354} | 0.2516          |
| 0.2385        | 1.74  | 2150 | {'accuracy': 0.899875}  | {'f1': 0.9007803790412486} | 0.2587          |
| 0.2692        | 1.74  | 2155 | {'accuracy': 0.8983125} | {'f1': 0.8996112790769422} | 0.2516          |
| 0.2509        | 1.75  | 2160 | {'accuracy': 0.899125}  | {'f1': 0.8992383568485454} | 0.2495          |
| 0.2365        | 1.75  | 2165 | {'accuracy': 0.9001875} | {'f1': 0.9010103514535425} | 0.2557          |
| 0.2324        | 1.75  | 2170 | {'accuracy': 0.89975}   | {'f1': 0.9005579665220088} | 0.2499          |
| 0.2198        | 1.76  | 2175 | {'accuracy': 0.8958125} | {'f1': 0.8988163884673749} | 0.2567          |
| 0.2367        | 1.76  | 2180 | {'accuracy': 0.898625}  | {'f1': 0.8976785263689123} | 0.2609          |
| 0.2637        | 1.77  | 2185 | {'accuracy': 0.8970625} | {'f1': 0.8999453253143794} | 0.2534          |
| 0.2262        | 1.77  | 2190 | {'accuracy': 0.9003125} | {'f1': 0.9004183055503527} | 0.2542          |
| 0.2633        | 1.77  | 2195 | {'accuracy': 0.9000625} | {'f1': 0.9013754394621599} | 0.2531          |
| 0.2412        | 1.78  | 2200 | {'accuracy': 0.89925}   | {'f1': 0.8999999999999999} | 0.2485          |
| 0.2454        | 1.78  | 2205 | {'accuracy': 0.8975625} | {'f1': 0.8974021909233176} | 0.2545          |
| 0.2394        | 1.79  | 2210 | {'accuracy': 0.8978125} | {'f1': 0.899477405471872}  | 0.2624          |
| 0.2377        | 1.79  | 2215 | {'accuracy': 0.899375}  | {'f1': 0.8996634675308488} | 0.2502          |
| 0.269         | 1.79  | 2220 | {'accuracy': 0.899}     | {'f1': 0.899}              | 0.2520          |
| 0.2416        | 1.8   | 2225 | {'accuracy': 0.896875}  | {'f1': 0.8997691653505042} | 0.2573          |
| 0.2205        | 1.8   | 2230 | {'accuracy': 0.899125}  | {'f1': 0.8980803233139681} | 0.2510          |
| 0.2378        | 1.81  | 2235 | {'accuracy': 0.8984375} | {'f1': 0.8998088661446451} | 0.2558          |
| 0.2417        | 1.81  | 2240 | {'accuracy': 0.89925}   | {'f1': 0.8996264009962639} | 0.2508          |
| 0.2253        | 1.81  | 2245 | {'accuracy': 0.89825}   | {'f1': 0.8974940183855938} | 0.2528          |
| 0.2072        | 1.82  | 2250 | {'accuracy': 0.8984375} | {'f1': 0.9001658782330897} | 0.2567          |
| 0.2222        | 1.82  | 2255 | {'accuracy': 0.900125}  | {'f1': 0.90101585728444}   | 0.2469          |
| 0.2418        | 1.83  | 2260 | {'accuracy': 0.8991875} | {'f1': 0.8987762786319422} | 0.2545          |
| 0.2162        | 1.83  | 2265 | {'accuracy': 0.897625}  | {'f1': 0.8989886531820426} | 0.2563          |
| 0.2398        | 1.83  | 2270 | {'accuracy': 0.8970625} | {'f1': 0.8947939955285851} | 0.2537          |
| 0.2566        | 1.84  | 2275 | {'accuracy': 0.8939375} | {'f1': 0.8974188478510549} | 0.2566          |
| 0.2573        | 1.84  | 2280 | {'accuracy': 0.8958125} | {'f1': 0.8932983421878001} | 0.2560          |
| 0.2578        | 1.85  | 2285 | {'accuracy': 0.8951875} | {'f1': 0.8988723391424953} | 0.2585          |
| 0.252         | 1.85  | 2290 | {'accuracy': 0.898125}  | {'f1': 0.8975487115022}    | 0.2471          |
| 0.2162        | 1.85  | 2295 | {'accuracy': 0.8971875} | {'f1': 0.8983375563933008} | 0.2525          |
| 0.2324        | 1.86  | 2300 | {'accuracy': 0.8981875} | {'f1': 0.8990893885894815} | 0.2545          |
| 0.2675        | 1.86  | 2305 | {'accuracy': 0.89825}   | {'f1': 0.899605328071041}  | 0.2470          |
| 0.208         | 1.87  | 2310 | {'accuracy': 0.9003125} | {'f1': 0.9001189805247668} | 0.2494          |
| 0.2457        | 1.87  | 2315 | {'accuracy': 0.9003125} | {'f1': 0.901342240366178}  | 0.2516          |
| 0.2215        | 1.87  | 2320 | {'accuracy': 0.899125}  | {'f1': 0.9004441154700222} | 0.2478          |
| 0.2591        | 1.88  | 2325 | {'accuracy': 0.8993125} | {'f1': 0.8989905323217756} | 0.2498          |
| 0.2401        | 1.88  | 2330 | {'accuracy': 0.897375}  | {'f1': 0.8991772074174137} | 0.2493          |
| 0.242         | 1.89  | 2335 | {'accuracy': 0.899625}  | {'f1': 0.8999252243270189} | 0.2539          |
| 0.2181        | 1.89  | 2340 | {'accuracy': 0.8998125} | {'f1': 0.9009454365692393} | 0.2491          |
| 0.2312        | 1.89  | 2345 | {'accuracy': 0.9011875} | {'f1': 0.9020142547257515} | 0.2483          |
| 0.2335        | 1.9   | 2350 | {'accuracy': 0.900375}  | {'f1': 0.90151983195354}   | 0.2486          |
| 0.2183        | 1.9   | 2355 | {'accuracy': 0.898625}  | {'f1': 0.8981923173487322} | 0.2522          |
| 0.244         | 1.91  | 2360 | {'accuracy': 0.898875}  | {'f1': 0.8998142414860681} | 0.2521          |
| 0.2228        | 1.91  | 2365 | {'accuracy': 0.8981875} | {'f1': 0.8977721995607154} | 0.2474          |
| 0.2396        | 1.92  | 2370 | {'accuracy': 0.8993125} | {'f1': 0.9010381473063456} | 0.2567          |
| 0.2142        | 1.92  | 2375 | {'accuracy': 0.8998125} | {'f1': 0.9002799377916019} | 0.2494          |
| 0.2383        | 1.92  | 2380 | {'accuracy': 0.9005}    | {'f1': 0.9014851485148515} | 0.2484          |
| 0.2403        | 1.93  | 2385 | {'accuracy': 0.899125}  | {'f1': 0.8985671191553545} | 0.2521          |
| 0.2309        | 1.93  | 2390 | {'accuracy': 0.8986875} | {'f1': 0.8994479250666831} | 0.2520          |
| 0.2487        | 1.94  | 2395 | {'accuracy': 0.8978125} | {'f1': 0.8979082110521386} | 0.2510          |
| 0.2554        | 1.94  | 2400 | {'accuracy': 0.898875}  | {'f1': 0.900012359411692}  | 0.2478          |
| 0.2541        | 1.94  | 2405 | {'accuracy': 0.8989375} | {'f1': 0.8992335015890821} | 0.2504          |
| 0.2245        | 1.95  | 2410 | {'accuracy': 0.9}       | {'f1': 0.9008059516429014} | 0.2544          |
| 0.2847        | 1.95  | 2415 | {'accuracy': 0.9005625} | {'f1': 0.9014799677998638} | 0.2519          |
| 0.2187        | 1.96  | 2420 | {'accuracy': 0.9000625} | {'f1': 0.9013145713756712} | 0.2528          |
| 0.2397        | 1.96  | 2425 | {'accuracy': 0.901}     | {'f1': 0.9018708957997771} | 0.2503          |
| 0.2181        | 1.96  | 2430 | {'accuracy': 0.900375}  | {'f1': 0.9002752752752752} | 0.2475          |
| 0.2289        | 1.97  | 2435 | {'accuracy': 0.9004375} | {'f1': 0.9012582904605467} | 0.2491          |
| 0.2352        | 1.97  | 2440 | {'accuracy': 0.900625}  | {'f1': 0.901694076913565}  | 0.2572          |
| 0.2339        | 1.98  | 2445 | {'accuracy': 0.8995}    | {'f1': 0.90050736295013}   | 0.2486          |
| 0.2298        | 1.98  | 2450 | {'accuracy': 0.89925}   | {'f1': 0.899801093983093}  | 0.2499          |
| 0.2428        | 1.98  | 2455 | {'accuracy': 0.90075}   | {'f1': 0.9020841040818843} | 0.2518          |
| 0.245         | 1.99  | 2460 | {'accuracy': 0.9004375} | {'f1': 0.9009513150531617} | 0.2473          |
| 0.2193        | 1.99  | 2465 | {'accuracy': 0.8993125} | {'f1': 0.8981990521327013} | 0.2508          |
| 0.239         | 2.0   | 2470 | {'accuracy': 0.899625}  | {'f1': 0.8992092381071922} | 0.2523          |
| 0.2759        | 2.0   | 2475 | {'accuracy': 0.9000625} | {'f1': 0.9012902030989567} | 0.2480          |
| 0.2067        | 2.0   | 2480 | {'accuracy': 0.8993125} | {'f1': 0.9004879856692816} | 0.2604          |
| 0.2109        | 2.01  | 2485 | {'accuracy': 0.8999375} | {'f1': 0.9001434541258654} | 0.2639          |
| 0.2046        | 2.01  | 2490 | {'accuracy': 0.8975625} | {'f1': 0.8983313690217729} | 0.2531          |
| 0.1903        | 2.02  | 2495 | {'accuracy': 0.89925}   | {'f1': 0.8997512437810946} | 0.2658          |
| 0.1953        | 2.02  | 2500 | {'accuracy': 0.8991875} | {'f1': 0.8994451717473972} | 0.2667          |
| 0.1998        | 2.02  | 2505 | {'accuracy': 0.8990625} | {'f1': 0.9006826148453354} | 0.2544          |
| 0.2042        | 2.03  | 2510 | {'accuracy': 0.900125}  | {'f1': 0.9008561856309717} | 0.2605          |
| 0.196         | 2.03  | 2515 | {'accuracy': 0.89975}   | {'f1': 0.899712392147055}  | 0.2592          |
| 0.2198        | 2.04  | 2520 | {'accuracy': 0.8995}    | {'f1': 0.9007774898185856} | 0.2558          |
| 0.2187        | 2.04  | 2525 | {'accuracy': 0.8988125} | {'f1': 0.8993096585608559} | 0.2607          |
| 0.2271        | 2.04  | 2530 | {'accuracy': 0.9003125} | {'f1': 0.9004183055503527} | 0.2661          |
| 0.2181        | 2.05  | 2535 | {'accuracy': 0.8999375} | {'f1': 0.9001060710051787} | 0.2565          |
| 0.2093        | 2.05  | 2540 | {'accuracy': 0.8998125} | {'f1': 0.9008596697383883} | 0.2621          |
| 0.1977        | 2.06  | 2545 | {'accuracy': 0.8985}    | {'f1': 0.8992180712423979} | 0.2671          |
| 0.1849        | 2.06  | 2550 | {'accuracy': 0.8980625} | {'f1': 0.8987773847204121} | 0.2618          |
| 0.2084        | 2.06  | 2555 | {'accuracy': 0.8978125} | {'f1': 0.898592073435465}  | 0.2608          |
| 0.1953        | 2.07  | 2560 | {'accuracy': 0.8988125} | {'f1': 0.8994097545821683} | 0.2619          |
| 0.2135        | 2.07  | 2565 | {'accuracy': 0.89925}   | {'f1': 0.9003831417624522} | 0.2635          |
| 0.1939        | 2.08  | 2570 | {'accuracy': 0.90025}   | {'f1': 0.9003745318352059} | 0.2568          |
| 0.1852        | 2.08  | 2575 | {'accuracy': 0.899625}  | {'f1': 0.9007293855853629} | 0.2651          |
| 0.2126        | 2.08  | 2580 | {'accuracy': 0.899125}  | {'f1': 0.900049541738915}  | 0.2681          |
| 0.1933        | 2.09  | 2585 | {'accuracy': 0.8996875} | {'f1': 0.900130670151204}  | 0.2555          |
| 0.2086        | 2.09  | 2590 | {'accuracy': 0.89975}   | {'f1': 0.9006565093521616} | 0.2633          |
| 0.2139        | 2.1   | 2595 | {'accuracy': 0.9003125} | {'f1': 0.9020330446532767} | 0.2625          |
| 0.195         | 2.1   | 2600 | {'accuracy': 0.8995625} | {'f1': 0.9008330762110459} | 0.2627          |
| 0.1816        | 2.11  | 2605 | {'accuracy': 0.899875}  | {'f1': 0.901208682782437}  | 0.2646          |
| 0.2067        | 2.11  | 2610 | {'accuracy': 0.8988125} | {'f1': 0.9000925640234496} | 0.2588          |
| 0.1977        | 2.11  | 2615 | {'accuracy': 0.8989375} | {'f1': 0.8984360278876954} | 0.2642          |
| 0.2135        | 2.12  | 2620 | {'accuracy': 0.9005}    | {'f1': 0.9015460729746443} | 0.2702          |
| 0.192         | 2.12  | 2625 | {'accuracy': 0.9011875} | {'f1': 0.9013293390750796} | 0.2614          |
| 0.2117        | 2.13  | 2630 | {'accuracy': 0.9018125} | {'f1': 0.9018676994190769} | 0.2563          |
| 0.1781        | 2.13  | 2635 | {'accuracy': 0.9015625} | {'f1': 0.9023255813953489} | 0.2650          |
| 0.1761        | 2.13  | 2640 | {'accuracy': 0.9005625} | {'f1': 0.9008413836086008} | 0.2683          |
| 0.221         | 2.14  | 2645 | {'accuracy': 0.8996875} | {'f1': 0.9009320412320229} | 0.2607          |
| 0.2039        | 2.14  | 2650 | {'accuracy': 0.899125}  | {'f1': 0.8973413051774582} | 0.2577          |
| 0.217         | 2.15  | 2655 | {'accuracy': 0.898}     | {'f1': 0.9004635276896804} | 0.2675          |
| 0.2158        | 2.15  | 2660 | {'accuracy': 0.8995}    | {'f1': 0.8984720292966284} | 0.2569          |
| 0.2285        | 2.15  | 2665 | {'accuracy': 0.8961875} | {'f1': 0.8994125840247079} | 0.2628          |
| 0.2222        | 2.16  | 2670 | {'accuracy': 0.902125}  | {'f1': 0.9022349856411537} | 0.2660          |
| 0.2107        | 2.16  | 2675 | {'accuracy': 0.898}     | {'f1': 0.8999386879215204} | 0.2586          |
| 0.2111        | 2.17  | 2680 | {'accuracy': 0.8993125} | {'f1': 0.8986091006356599} | 0.2620          |
| 0.1845        | 2.17  | 2685 | {'accuracy': 0.9003125} | {'f1': 0.9019607843137255} | 0.2671          |
| 0.2147        | 2.17  | 2690 | {'accuracy': 0.9004375} | {'f1': 0.9008896907857897} | 0.2630          |
| 0.1928        | 2.18  | 2695 | {'accuracy': 0.899875}  | {'f1': 0.9010744720266765} | 0.2580          |
| 0.1849        | 2.18  | 2700 | {'accuracy': 0.8995}    | {'f1': 0.9002976190476191} | 0.2639          |
| 0.2563        | 2.19  | 2705 | {'accuracy': 0.8991875} | {'f1': 0.9003398208217485} | 0.2695          |
| 0.1927        | 2.19  | 2710 | {'accuracy': 0.899875}  | {'f1': 0.8999000249937517} | 0.2582          |
| 0.1925        | 2.19  | 2715 | {'accuracy': 0.900125}  | {'f1': 0.9015403573629082} | 0.2705          |
| 0.1911        | 2.2   | 2720 | {'accuracy': 0.8998125} | {'f1': 0.9000685742784115} | 0.2630          |
| 0.1983        | 2.2   | 2725 | {'accuracy': 0.8996875} | {'f1': 0.9004651162790697} | 0.2581          |
| 0.2158        | 2.21  | 2730 | {'accuracy': 0.898875}  | {'f1': 0.8998762376237623} | 0.2628          |
| 0.1692        | 2.21  | 2735 | {'accuracy': 0.9006875} | {'f1': 0.9013104776100864} | 0.2672          |
| 0.2196        | 2.21  | 2740 | {'accuracy': 0.9004375} | {'f1': 0.9010743339750357} | 0.2638          |
| 0.1887        | 2.22  | 2745 | {'accuracy': 0.89975}   | {'f1': 0.9006934125804853} | 0.2568          |
| 0.1866        | 2.22  | 2750 | {'accuracy': 0.898875}  | {'f1': 0.8987230846269404} | 0.2689          |
| 0.1998        | 2.23  | 2755 | {'accuracy': 0.8985625} | {'f1': 0.8995233083637714} | 0.2696          |
| 0.1964        | 2.23  | 2760 | {'accuracy': 0.898625}  | {'f1': 0.9003563091288858} | 0.2630          |
| 0.1952        | 2.23  | 2765 | {'accuracy': 0.8994375} | {'f1': 0.8997070373371564} | 0.2594          |
| 0.2153        | 2.24  | 2770 | {'accuracy': 0.8996875} | {'f1': 0.901176035958377}  | 0.2628          |
| 0.1895        | 2.24  | 2775 | {'accuracy': 0.899625}  | {'f1': 0.8994742113169755} | 0.2561          |
| 0.2151        | 2.25  | 2780 | {'accuracy': 0.899375}  | {'f1': 0.9011906223149626} | 0.2630          |
| 0.1841        | 2.25  | 2785 | {'accuracy': 0.898875}  | {'f1': 0.8990768463073853} | 0.2581          |
| 0.2184        | 2.25  | 2790 | {'accuracy': 0.8980625} | {'f1': 0.9002507491896521} | 0.2607          |
| 0.2145        | 2.26  | 2795 | {'accuracy': 0.897875}  | {'f1': 0.898723193256477}  | 0.2567          |
| 0.1932        | 2.26  | 2800 | {'accuracy': 0.8985625} | {'f1': 0.9001415123361842} | 0.2615          |
| 0.2109        | 2.27  | 2805 | {'accuracy': 0.899375}  | {'f1': 0.8999378495960223} | 0.2629          |
| 0.2163        | 2.27  | 2810 | {'accuracy': 0.8986875} | {'f1': 0.8994229695352733} | 0.2676          |
| 0.2049        | 2.27  | 2815 | {'accuracy': 0.8989375} | {'f1': 0.8988046811440015} | 0.2649          |
| 0.2118        | 2.28  | 2820 | {'accuracy': 0.8989375} | {'f1': 0.8998575586796309} | 0.2545          |
| 0.201         | 2.28  | 2825 | {'accuracy': 0.899625}  | {'f1': 0.8995622263914947} | 0.2673          |
| 0.2415        | 2.29  | 2830 | {'accuracy': 0.8991875} | {'f1': 0.9006712235975123} | 0.2619          |
| 0.2162        | 2.29  | 2835 | {'accuracy': 0.8974375} | {'f1': 0.8971868930518138} | 0.2580          |
| 0.1905        | 2.29  | 2840 | {'accuracy': 0.89925}   | {'f1': 0.8996013951170903} | 0.2691          |
| 0.2029        | 2.3   | 2845 | {'accuracy': 0.89775}   | {'f1': 0.8977883293764839} | 0.2693          |
| 0.1949        | 2.3   | 2850 | {'accuracy': 0.8993125} | {'f1': 0.89986947603953}   | 0.2670          |
| 0.2274        | 2.31  | 2855 | {'accuracy': 0.9003125} | {'f1': 0.9005796920775416} | 0.2714          |
| 0.2058        | 2.31  | 2860 | {'accuracy': 0.8994375} | {'f1': 0.9002046765490294} | 0.2661          |
| 0.2255        | 2.32  | 2865 | {'accuracy': 0.898125}  | {'f1': 0.9003058103975535} | 0.2625          |
| 0.2258        | 2.32  | 2870 | {'accuracy': 0.8993125} | {'f1': 0.8990411731528483} | 0.2613          |
| 0.1972        | 2.32  | 2875 | {'accuracy': 0.90125}   | {'f1': 0.9019364448857994} | 0.2653          |
| 0.2109        | 2.33  | 2880 | {'accuracy': 0.8993125} | {'f1': 0.9003895381190873} | 0.2658          |
| 0.187         | 2.33  | 2885 | {'accuracy': 0.8995625} | {'f1': 0.9004028509451503} | 0.2580          |
| 0.2379        | 2.34  | 2890 | {'accuracy': 0.899625}  | {'f1': 0.9000497883993029} | 0.2596          |
| 0.2201        | 2.34  | 2895 | {'accuracy': 0.8985}    | {'f1': 0.8994053518334985} | 0.2593          |
| 0.1903        | 2.34  | 2900 | {'accuracy': 0.8995625} | {'f1': 0.8996064221902917} | 0.2605          |
| 0.2173        | 2.35  | 2905 | {'accuracy': 0.899375}  | {'f1': 0.900629551907172}  | 0.2724          |
| 0.2488        | 2.35  | 2910 | {'accuracy': 0.8999375} | {'f1': 0.9001932547846144} | 0.2631          |
| 0.1918        | 2.36  | 2915 | {'accuracy': 0.9000625} | {'f1': 0.9011315154887776} | 0.2609          |
| 0.1801        | 2.36  | 2920 | {'accuracy': 0.9008125} | {'f1': 0.9011399738366661} | 0.2761          |
| 0.2025        | 2.36  | 2925 | {'accuracy': 0.8994375} | {'f1': 0.9007708911501696} | 0.2703          |
| 0.1981        | 2.37  | 2930 | {'accuracy': 0.9003125} | {'f1': 0.9009747314832061} | 0.2548          |
| 0.1922        | 2.37  | 2935 | {'accuracy': 0.9005}    | {'f1': 0.9013263914714269} | 0.2621          |
| 0.2158        | 2.38  | 2940 | {'accuracy': 0.897375}  | {'f1': 0.9}                | 0.2629          |
| 0.1975        | 2.38  | 2945 | {'accuracy': 0.9011875} | {'f1': 0.9000568936089511} | 0.2659          |
| 0.2039        | 2.38  | 2950 | {'accuracy': 0.90025}   | {'f1': 0.9015786877158363} | 0.2612          |
| 0.1995        | 2.39  | 2955 | {'accuracy': 0.902125}  | {'f1': 0.9019779669504256} | 0.2522          |
| 0.2023        | 2.39  | 2960 | {'accuracy': 0.90025}   | {'f1': 0.901590825009249}  | 0.2671          |
| 0.2098        | 2.4   | 2965 | {'accuracy': 0.9011875} | {'f1': 0.9022928125579385} | 0.2658          |
| 0.2158        | 2.4   | 2970 | {'accuracy': 0.9005}    | {'f1': 0.9014607576132705} | 0.2536          |
| 0.2074        | 2.4   | 2975 | {'accuracy': 0.89925}   | {'f1': 0.9005674808783616} | 0.2604          |
| 0.227         | 2.41  | 2980 | {'accuracy': 0.899625}  | {'f1': 0.8993355898207347} | 0.2640          |
| 0.2164        | 2.41  | 2985 | {'accuracy': 0.8999375} | {'f1': 0.9010934700685737} | 0.2520          |
| 0.1945        | 2.42  | 2990 | {'accuracy': 0.90025}   | {'f1': 0.9011519881085098} | 0.2609          |
| 0.232         | 2.42  | 2995 | {'accuracy': 0.899875}  | {'f1': 0.9003359462486002} | 0.2668          |
| 0.1984        | 2.42  | 3000 | {'accuracy': 0.89925}   | {'f1': 0.9010557328750307} | 0.2560          |
| 0.231         | 2.43  | 3005 | {'accuracy': 0.898625}  | {'f1': 0.8977430336653638} | 0.2571          |
| 0.227         | 2.43  | 3010 | {'accuracy': 0.900375}  | {'f1': 0.9014223871366729} | 0.2585          |
| 0.1902        | 2.44  | 3015 | {'accuracy': 0.899875}  | {'f1': 0.9003235440517672} | 0.2577          |
| 0.2106        | 2.44  | 3020 | {'accuracy': 0.8995625} | {'f1': 0.9007718431614696} | 0.2571          |
| 0.2024        | 2.44  | 3025 | {'accuracy': 0.89875}   | {'f1': 0.8999753025438378} | 0.2597          |
| 0.1956        | 2.45  | 3030 | {'accuracy': 0.8988125} | {'f1': 0.899509651790702}  | 0.2566          |
| 0.2046        | 2.45  | 3035 | {'accuracy': 0.8989375} | {'f1': 0.899633790577866}  | 0.2604          |
| 0.1962        | 2.46  | 3040 | {'accuracy': 0.9000625} | {'f1': 0.9008249085157849} | 0.2601          |
| 0.1969        | 2.46  | 3045 | {'accuracy': 0.8981875} | {'f1': 0.8996364980592694} | 0.2591          |
| 0.2069        | 2.46  | 3050 | {'accuracy': 0.898}     | {'f1': 0.8989848972517951} | 0.2676          |
| 0.2052        | 2.47  | 3055 | {'accuracy': 0.899375}  | {'f1': 0.8999378495960223} | 0.2634          |
| 0.2048        | 2.47  | 3060 | {'accuracy': 0.89825}   | {'f1': 0.9003793905274753} | 0.2548          |
| 0.2253        | 2.48  | 3065 | {'accuracy': 0.8984375} | {'f1': 0.8992248062015504} | 0.2629          |
| 0.2144        | 2.48  | 3070 | {'accuracy': 0.89775}   | {'f1': 0.8997549019607843} | 0.2666          |
| 0.204         | 2.48  | 3075 | {'accuracy': 0.8985625} | {'f1': 0.8987081070960494} | 0.2578          |
| 0.2097        | 2.49  | 3080 | {'accuracy': 0.8995625} | {'f1': 0.9012596006144393} | 0.2600          |
| 0.2035        | 2.49  | 3085 | {'accuracy': 0.899625}  | {'f1': 0.9003474807644577} | 0.2597          |
| 0.2091        | 2.5   | 3090 | {'accuracy': 0.8995}    | {'f1': 0.8996630475477349} | 0.2559          |
| 0.2073        | 2.5   | 3095 | {'accuracy': 0.900375}  | {'f1': 0.9015927892332386} | 0.2550          |
| 0.2082        | 2.51  | 3100 | {'accuracy': 0.9003125} | {'f1': 0.9006292442838453} | 0.2591          |
| 0.182         | 2.51  | 3105 | {'accuracy': 0.9}       | {'f1': 0.9011247064639722} | 0.2627          |
| 0.1948        | 2.51  | 3110 | {'accuracy': 0.899875}  | {'f1': 0.900149588631264}  | 0.2644          |
| 0.2118        | 2.52  | 3115 | {'accuracy': 0.8996875} | {'f1': 0.9013339890576013} | 0.2546          |
| 0.2312        | 2.52  | 3120 | {'accuracy': 0.8994375} | {'f1': 0.8988749921438}    | 0.2566          |
| 0.2055        | 2.53  | 3125 | {'accuracy': 0.900375}  | {'f1': 0.90151983195354}   | 0.2563          |
| 0.226         | 2.53  | 3130 | {'accuracy': 0.899875}  | {'f1': 0.8999125328001999} | 0.2596          |
| 0.2044        | 2.53  | 3135 | {'accuracy': 0.898375}  | {'f1': 0.900269872423945}  | 0.2636          |
| 0.2141        | 2.54  | 3140 | {'accuracy': 0.89975}   | {'f1': 0.9002487562189055} | 0.2577          |
| 0.1802        | 2.54  | 3145 | {'accuracy': 0.899375}  | {'f1': 0.9005313233658718} | 0.2594          |
| 0.204         | 2.55  | 3150 | {'accuracy': 0.8988125} | {'f1': 0.8997461143104837} | 0.2656          |
| 0.1937        | 2.55  | 3155 | {'accuracy': 0.89925}   | {'f1': 0.9008853910477127} | 0.2611          |
| 0.1968        | 2.55  | 3160 | {'accuracy': 0.900875}  | {'f1': 0.900899775056236}  | 0.2555          |
| 0.2046        | 2.56  | 3165 | {'accuracy': 0.900375}  | {'f1': 0.9013369645951969} | 0.2537          |
| 0.2041        | 2.56  | 3170 | {'accuracy': 0.902375}  | {'f1': 0.9030656571925034} | 0.2582          |
| 0.215         | 2.57  | 3175 | {'accuracy': 0.9015}    | {'f1': 0.9027040375354981} | 0.2622          |
| 0.1944        | 2.57  | 3180 | {'accuracy': 0.901375}  | {'f1': 0.9014612214312476} | 0.2598          |
| 0.1984        | 2.57  | 3185 | {'accuracy': 0.901875}  | {'f1': 0.9024723568145111} | 0.2537          |
| 0.2098        | 2.58  | 3190 | {'accuracy': 0.90025}   | {'f1': 0.9008202833706189} | 0.2588          |
| 0.1894        | 2.58  | 3195 | {'accuracy': 0.9006875} | {'f1': 0.9017984055373586} | 0.2611          |
| 0.2277        | 2.59  | 3200 | {'accuracy': 0.9025625} | {'f1': 0.9031737159182659} | 0.2562          |
| 0.1832        | 2.59  | 3205 | {'accuracy': 0.9029375} | {'f1': 0.9042599099932187} | 0.2524          |
| 0.1918        | 2.59  | 3210 | {'accuracy': 0.902875}  | {'f1': 0.9026193758616368} | 0.2613          |
| 0.2231        | 2.6   | 3215 | {'accuracy': 0.90125}   | {'f1': 0.9016679113766493} | 0.2609          |
| 0.2147        | 2.6   | 3220 | {'accuracy': 0.9001875} | {'f1': 0.9002436129677057} | 0.2599          |
| 0.2062        | 2.61  | 3225 | {'accuracy': 0.9011875} | {'f1': 0.902689727334277}  | 0.2613          |
| 0.1936        | 2.61  | 3230 | {'accuracy': 0.90175}   | {'f1': 0.902553930076866}  | 0.2561          |
| 0.2184        | 2.61  | 3235 | {'accuracy': 0.901375}  | {'f1': 0.9024239426168686} | 0.2536          |
| 0.2001        | 2.62  | 3240 | {'accuracy': 0.900875}  | {'f1': 0.9007136596970076} | 0.2610          |
| 0.2204        | 2.62  | 3245 | {'accuracy': 0.9003125} | {'f1': 0.9007899483734527} | 0.2549          |
| 0.2141        | 2.63  | 3250 | {'accuracy': 0.900125}  | {'f1': 0.9018186286556893} | 0.2570          |
| 0.2025        | 2.63  | 3255 | {'accuracy': 0.90075}   | {'f1': 0.9007996001999001} | 0.2658          |
| 0.1843        | 2.63  | 3260 | {'accuracy': 0.90025}   | {'f1': 0.9017241379310345} | 0.2557          |
| 0.1912        | 2.64  | 3265 | {'accuracy': 0.8999375} | {'f1': 0.8999562582015872} | 0.2537          |
| 0.2224        | 2.64  | 3270 | {'accuracy': 0.8994375} | {'f1': 0.8998942325639271} | 0.2617          |
| 0.224         | 2.65  | 3275 | {'accuracy': 0.8990625} | {'f1': 0.8998573820301358} | 0.2602          |
| 0.2154        | 2.65  | 3280 | {'accuracy': 0.8998125} | {'f1': 0.9000187114077216} | 0.2545          |
| 0.2119        | 2.65  | 3285 | {'accuracy': 0.9015}    | {'f1': 0.903122694861077}  | 0.2603          |
| 0.2511        | 2.66  | 3290 | {'accuracy': 0.899875}  | {'f1': 0.900620347394541}  | 0.2648          |
| 0.2143        | 2.66  | 3295 | {'accuracy': 0.90025}   | {'f1': 0.9012498453161738} | 0.2539          |
| 0.1977        | 2.67  | 3300 | {'accuracy': 0.900125}  | {'f1': 0.8999624389633154} | 0.2540          |
| 0.1722        | 2.67  | 3305 | {'accuracy': 0.9015}    | {'f1': 0.9027160493827161} | 0.2593          |
| 0.2061        | 2.67  | 3310 | {'accuracy': 0.8999375} | {'f1': 0.9011911374436833} | 0.2569          |
| 0.1914        | 2.68  | 3315 | {'accuracy': 0.8998125} | {'f1': 0.9001557147306135} | 0.2608          |
| 0.2382        | 2.68  | 3320 | {'accuracy': 0.899375}  | {'f1': 0.9005190311418685} | 0.2607          |
| 0.1926        | 2.69  | 3325 | {'accuracy': 0.901875}  | {'f1': 0.9021806853582556} | 0.2517          |
| 0.2303        | 2.69  | 3330 | {'accuracy': 0.9019375} | {'f1': 0.9025163094128611} | 0.2569          |
| 0.1782        | 2.69  | 3335 | {'accuracy': 0.9015625} | {'f1': 0.9025190319985146} | 0.2611          |
| 0.2266        | 2.7   | 3340 | {'accuracy': 0.900625}  | {'f1': 0.9013402829486225} | 0.2558          |
| 0.1954        | 2.7   | 3345 | {'accuracy': 0.9011875} | {'f1': 0.9019899572252185} | 0.2520          |
| 0.1798        | 2.71  | 3350 | {'accuracy': 0.9018125} | {'f1': 0.9021732361915438} | 0.2615          |
| 0.1999        | 2.71  | 3355 | {'accuracy': 0.9011875} | {'f1': 0.902365219539307}  | 0.2581          |
| 0.209         | 2.72  | 3360 | {'accuracy': 0.902}     | {'f1': 0.9019754938734683} | 0.2539          |
| 0.2079        | 2.72  | 3365 | {'accuracy': 0.902}     | {'f1': 0.9035907525823906} | 0.2659          |
| 0.1943        | 2.72  | 3370 | {'accuracy': 0.9016875} | {'f1': 0.9019143231277672} | 0.2658          |
| 0.2           | 2.73  | 3375 | {'accuracy': 0.90325}   | {'f1': 0.9038628741771209} | 0.2498          |
| 0.2233        | 2.73  | 3380 | {'accuracy': 0.90275}   | {'f1': 0.9040690505548706} | 0.2544          |
| 0.1787        | 2.74  | 3385 | {'accuracy': 0.9035}    | {'f1': 0.9030637870416877} | 0.2585          |
| 0.2063        | 2.74  | 3390 | {'accuracy': 0.902}     | {'f1': 0.9034958148695225} | 0.2608          |
| 0.2215        | 2.74  | 3395 | {'accuracy': 0.901875}  | {'f1': 0.9026175412479841} | 0.2518          |
| 0.1945        | 2.75  | 3400 | {'accuracy': 0.900875}  | {'f1': 0.9019898652824125} | 0.2596          |
| 0.2038        | 2.75  | 3405 | {'accuracy': 0.900875}  | {'f1': 0.9009369144284822} | 0.2649          |
| 0.2055        | 2.76  | 3410 | {'accuracy': 0.90075}   | {'f1': 0.9020961775585697} | 0.2579          |
| 0.2083        | 2.76  | 3415 | {'accuracy': 0.901}     | {'f1': 0.9011482775836246} | 0.2515          |
| 0.1892        | 2.76  | 3420 | {'accuracy': 0.901}     | {'f1': 0.9020286986640278} | 0.2574          |
| 0.2221        | 2.77  | 3425 | {'accuracy': 0.9011875} | {'f1': 0.9016240433078214} | 0.2593          |
| 0.1966        | 2.77  | 3430 | {'accuracy': 0.8985625} | {'f1': 0.9003377341111453} | 0.2536          |
| 0.1838        | 2.78  | 3435 | {'accuracy': 0.900375}  | {'f1': 0.9004372267332916} | 0.2568          |
| 0.2102        | 2.78  | 3440 | {'accuracy': 0.8985625} | {'f1': 0.9008249312557286} | 0.2597          |
| 0.2429        | 2.78  | 3445 | {'accuracy': 0.90075}   | {'f1': 0.9006133433471022} | 0.2535          |
| 0.2054        | 2.79  | 3450 | {'accuracy': 0.8993125} | {'f1': 0.9011717072572234} | 0.2604          |
| 0.1889        | 2.79  | 3455 | {'accuracy': 0.9005}    | {'f1': 0.9015217122355561} | 0.2626          |
| 0.2159        | 2.8   | 3460 | {'accuracy': 0.9006875} | {'f1': 0.9022695122701272} | 0.2576          |
| 0.2044        | 2.8   | 3465 | {'accuracy': 0.90175}   | {'f1': 0.9008827238335435} | 0.2509          |
| 0.2174        | 2.8   | 3470 | {'accuracy': 0.9018125} | {'f1': 0.9026702186977263} | 0.2563          |
| 0.1981        | 2.81  | 3475 | {'accuracy': 0.9023125} | {'f1': 0.902147373693107}  | 0.2551          |
| 0.1921        | 2.81  | 3480 | {'accuracy': 0.9019375} | {'f1': 0.9029264369238383} | 0.2568          |
| 0.1968        | 2.82  | 3485 | {'accuracy': 0.901625}  | {'f1': 0.9022481679294497} | 0.2625          |
| 0.1697        | 2.82  | 3490 | {'accuracy': 0.90025}   | {'f1': 0.9000125297581757} | 0.2613          |
| 0.1859        | 2.82  | 3495 | {'accuracy': 0.9011875} | {'f1': 0.9019169923692536} | 0.2626          |
| 0.2016        | 2.83  | 3500 | {'accuracy': 0.90075}   | {'f1': 0.9012192087583977} | 0.2546          |
| 0.1893        | 2.83  | 3505 | {'accuracy': 0.9436875} | {'f1': 0.9439920432647478} | 0.1479          |
| 0.1691        | 2.84  | 3510 | {'accuracy': 0.9446875} | {'f1': 0.9445245408387136} | 0.1482          |
| 0.1814        | 2.84  | 3515 | {'accuracy': 0.9433125} | {'f1': 0.9439327440192866} | 0.1487          |
| 0.1611        | 2.85  | 3520 | {'accuracy': 0.9448125} | {'f1': 0.9446082428956778} | 0.1467          |
| 0.1987        | 2.85  | 3525 | {'accuracy': 0.9425}    | {'f1': 0.9431115508285927} | 0.1506          |
| 0.174         | 2.85  | 3530 | {'accuracy': 0.943625}  | {'f1': 0.9430771172535656} | 0.1465          |
| 0.1716        | 2.86  | 3535 | {'accuracy': 0.9434375} | {'f1': 0.9437992920573807} | 0.1461          |
| 0.166         | 2.86  | 3540 | {'accuracy': 0.944625}  | {'f1': 0.9446665001249063} | 0.1456          |
| 0.1614        | 2.87  | 3545 | {'accuracy': 0.9436875} | {'f1': 0.9434790791041967} | 0.1462          |
| 0.1798        | 2.87  | 3550 | {'accuracy': 0.940875}  | {'f1': 0.9421618977745169} | 0.1525          |
| 0.1806        | 2.87  | 3555 | {'accuracy': 0.9435625} | {'f1': 0.9427647841795018} | 0.1487          |
| 0.1837        | 2.88  | 3560 | {'accuracy': 0.9406875} | {'f1': 0.9419607363464009} | 0.1533          |
| 0.1737        | 2.88  | 3565 | {'accuracy': 0.9439375} | {'f1': 0.9437652811735942} | 0.1455          |
| 0.2097        | 2.89  | 3570 | {'accuracy': 0.94475}   | {'f1': 0.9449838187702265} | 0.1455          |
| 0.1794        | 2.89  | 3575 | {'accuracy': 0.944875}  | {'f1': 0.9448612153038259} | 0.1454          |
| 0.1748        | 2.89  | 3580 | {'accuracy': 0.9448125} | {'f1': 0.9447192136730732} | 0.1452          |
| 0.175         | 2.9   | 3585 | {'accuracy': 0.94475}   | {'f1': 0.9450453810767128} | 0.1459          |
| 0.1752        | 2.9   | 3590 | {'accuracy': 0.945}     | {'f1': 0.9449656035021889} | 0.1451          |
| 0.1558        | 2.91  | 3595 | {'accuracy': 0.9440625} | {'f1': 0.9444478927440878} | 0.1451          |
| 0.1553        | 2.91  | 3600 | {'accuracy': 0.945375}  | {'f1': 0.9452380952380952} | 0.1444          |
| 0.1831        | 2.91  | 3605 | {'accuracy': 0.943375}  | {'f1': 0.9441085749537323} | 0.1476          |
| 0.1785        | 2.92  | 3610 | {'accuracy': 0.944875}  | {'f1': 0.9448060075093867} | 0.1475          |
| 0.1635        | 2.92  | 3615 | {'accuracy': 0.943875}  | {'f1': 0.9444444444444445} | 0.1472          |
| 0.1774        | 2.93  | 3620 | {'accuracy': 0.945}     | {'f1': 0.9453144419587373} | 0.1456          |
| 0.184         | 2.93  | 3625 | {'accuracy': 0.9445625} | {'f1': 0.9449581135587962} | 0.1456          |
| 0.1906        | 2.93  | 3630 | {'accuracy': 0.9444375} | {'f1': 0.9445449441706693} | 0.1454          |
| 0.1769        | 2.94  | 3635 | {'accuracy': 0.9435}    | {'f1': 0.9440663284246998} | 0.1476          |
| 0.1595        | 2.94  | 3640 | {'accuracy': 0.944875}  | {'f1': 0.9452241957520805} | 0.1464          |
| 0.1691        | 2.95  | 3645 | {'accuracy': 0.9425625} | {'f1': 0.9433659949466936} | 0.1480          |
| 0.1837        | 2.95  | 3650 | {'accuracy': 0.944375}  | {'f1': 0.9445482866043614} | 0.1473          |
| 0.1896        | 2.95  | 3655 | {'accuracy': 0.9436875} | {'f1': 0.944227793252863}  | 0.1478          |
| 0.1481        | 2.96  | 3660 | {'accuracy': 0.94375}   | {'f1': 0.9439461883408071} | 0.1470          |
| 0.1957        | 2.96  | 3665 | {'accuracy': 0.9419375} | {'f1': 0.9428061318721911} | 0.1513          |
| 0.1972        | 2.97  | 3670 | {'accuracy': 0.9425}    | {'f1': 0.9422690763052209} | 0.1483          |
| 0.1833        | 2.97  | 3675 | {'accuracy': 0.9425625} | {'f1': 0.94319095011436}   | 0.1482          |
| 0.1897        | 2.97  | 3680 | {'accuracy': 0.9445625} | {'f1': 0.9448348777909074} | 0.1476          |
| 0.1712        | 2.98  | 3685 | {'accuracy': 0.9439375} | {'f1': 0.9443582904286335} | 0.1478          |
| 0.1808        | 2.98  | 3690 | {'accuracy': 0.9433125} | {'f1': 0.94374496061527}   | 0.1475          |
| 0.174         | 2.99  | 3695 | {'accuracy': 0.9431875} | {'f1': 0.9435999255444562} | 0.1473          |
| 0.1891        | 2.99  | 3700 | {'accuracy': 0.942625}  | {'f1': 0.943101524730383}  | 0.1479          |
| 0.1987        | 2.99  | 3705 | {'accuracy': 0.9444375} | {'f1': 0.9447242429894921} | 0.1468          |
| 0.1853        | 3.0   | 3710 | {'accuracy': 0.9399375} | {'f1': 0.9411980664504682} | 0.1516          |
| 0.1736        | 3.0   | 3715 | {'accuracy': 0.943125}  | {'f1': 0.9428248303593869} | 0.1471          |
| 0.1708        | 3.01  | 3720 | {'accuracy': 0.942625}  | {'f1': 0.9434520142909942} | 0.1487          |
| 0.1609        | 3.01  | 3725 | {'accuracy': 0.943125}  | {'f1': 0.9432456030934264} | 0.1477          |
| 0.1699        | 3.01  | 3730 | {'accuracy': 0.941625}  | {'f1': 0.9423314398616943} | 0.1506          |
| 0.1821        | 3.02  | 3735 | {'accuracy': 0.9435}    | {'f1': 0.943485871467867}  | 0.1466          |
| 0.1691        | 3.02  | 3740 | {'accuracy': 0.9433125} | {'f1': 0.9435629394561633} | 0.1478          |
| 0.2098        | 3.03  | 3745 | {'accuracy': 0.9436875} | {'f1': 0.9436417088884719} | 0.1476          |
| 0.1485        | 3.03  | 3750 | {'accuracy': 0.943875}  | {'f1': 0.9436778725539388} | 0.1469          |
| 0.169         | 3.04  | 3755 | {'accuracy': 0.942}     | {'f1': 0.9428430647942843} | 0.1501          |
| 0.1785        | 3.04  | 3760 | {'accuracy': 0.944125}  | {'f1': 0.9441319835020623} | 0.1469          |
| 0.1466        | 3.04  | 3765 | {'accuracy': 0.943375}  | {'f1': 0.9438661710037175} | 0.1476          |
| 0.1943        | 3.05  | 3770 | {'accuracy': 0.9431875} | {'f1': 0.9435929258454855} | 0.1475          |
| 0.1868        | 3.05  | 3775 | {'accuracy': 0.9443125} | {'f1': 0.9443785504713154} | 0.1465          |
| 0.1731        | 3.06  | 3780 | {'accuracy': 0.9450625} | {'f1': 0.9448245558973072} | 0.1463          |
| 0.1952        | 3.06  | 3785 | {'accuracy': 0.9434375} | {'f1': 0.9439037996652824} | 0.1469          |
| 0.1699        | 3.06  | 3790 | {'accuracy': 0.9435625} | {'f1': 0.9437698486829814} | 0.1460          |
| 0.1749        | 3.07  | 3795 | {'accuracy': 0.94325}   | {'f1': 0.9437003968253969} | 0.1463          |
| 0.17          | 3.07  | 3800 | {'accuracy': 0.9428125} | {'f1': 0.9432206019236736} | 0.1463          |
| 0.2013        | 3.08  | 3805 | {'accuracy': 0.9425}    | {'f1': 0.9431607562090696} | 0.1490          |
| 0.171         | 3.08  | 3810 | {'accuracy': 0.943375}  | {'f1': 0.9432686286787727} | 0.1464          |
| 0.1632        | 3.08  | 3815 | {'accuracy': 0.9428125} | {'f1': 0.9432839521477717} | 0.1469          |
| 0.1539        | 3.09  | 3820 | {'accuracy': 0.94175}   | {'f1': 0.9427025697774498} | 0.1511          |
| 0.156         | 3.09  | 3825 | {'accuracy': 0.94225}   | {'f1': 0.9416593004167193} | 0.1507          |
| 0.1985        | 3.1   | 3830 | {'accuracy': 0.94275}   | {'f1': 0.9434008897676717} | 0.1481          |
| 0.168         | 3.1   | 3835 | {'accuracy': 0.9423125} | {'f1': 0.9423593330419034} | 0.1464          |
| 0.1726        | 3.1   | 3840 | {'accuracy': 0.9434375} | {'f1': 0.9435398340507829} | 0.1464          |
| 0.1528        | 3.11  | 3845 | {'accuracy': 0.94175}   | {'f1': 0.9425613213361271} | 0.1494          |
| 0.1878        | 3.11  | 3850 | {'accuracy': 0.9413125} | {'f1': 0.9414916817247181} | 0.1471          |
| 0.1768        | 3.12  | 3855 | {'accuracy': 0.9414375} | {'f1': 0.9420782592569696} | 0.1489          |
| 0.174         | 3.12  | 3860 | {'accuracy': 0.942875}  | {'f1': 0.9432720953326713} | 0.1492          |
| 0.1759        | 3.12  | 3865 | {'accuracy': 0.944625}  | {'f1': 0.9448730711796913} | 0.1465          |
| 0.1714        | 3.13  | 3870 | {'accuracy': 0.94375}   | {'f1': 0.9438972696671237} | 0.1463          |
| 0.1642        | 3.13  | 3875 | {'accuracy': 0.9424375} | {'f1': 0.9428624604504}    | 0.1475          |
| 0.1983        | 3.14  | 3880 | {'accuracy': 0.9435}    | {'f1': 0.9438160348042263} | 0.1484          |
| 0.1512        | 3.14  | 3885 | {'accuracy': 0.943125}  | {'f1': 0.9434642147117296} | 0.1492          |
| 0.1588        | 3.14  | 3890 | {'accuracy': 0.9425}    | {'f1': 0.9427931849272478} | 0.1476          |
| 0.1825        | 3.15  | 3895 | {'accuracy': 0.9423125} | {'f1': 0.9427241700279242} | 0.1481          |
| 0.1554        | 3.15  | 3900 | {'accuracy': 0.9421875} | {'f1': 0.9422560709157876} | 0.1497          |
| 0.1668        | 3.16  | 3905 | {'accuracy': 0.942875}  | {'f1': 0.943067148374237}  | 0.1503          |
| 0.17          | 3.16  | 3910 | {'accuracy': 0.9436875} | {'f1': 0.9439223252629614} | 0.1468          |
| 0.1834        | 3.16  | 3915 | {'accuracy': 0.9430625} | {'f1': 0.942944823698879}  | 0.1472          |
| 0.1814        | 3.17  | 3920 | {'accuracy': 0.94275}   | {'f1': 0.9434498086183479} | 0.1484          |
| 0.1858        | 3.17  | 3925 | {'accuracy': 0.9429375} | {'f1': 0.9427550316634271} | 0.1475          |
| 0.188         | 3.18  | 3930 | {'accuracy': 0.94225}   | {'f1': 0.9426443202979518} | 0.1469          |
| 0.1832        | 3.18  | 3935 | {'accuracy': 0.9429375} | {'f1': 0.9432884030063979} | 0.1471          |
| 0.1389        | 3.18  | 3940 | {'accuracy': 0.9435}    | {'f1': 0.9438648782911078} | 0.1478          |
| 0.1858        | 3.19  | 3945 | {'accuracy': 0.943125}  | {'f1': 0.9433233682112605} | 0.1484          |
| 0.1639        | 3.19  | 3950 | {'accuracy': 0.9430625} | {'f1': 0.9434196633749456} | 0.1476          |
| 0.1852        | 3.2   | 3955 | {'accuracy': 0.9435}    | {'f1': 0.9437601094935921} | 0.1461          |
| 0.1723        | 3.2   | 3960 | {'accuracy': 0.9430625} | {'f1': 0.9436645847504793} | 0.1471          |
| 0.1728        | 3.2   | 3965 | {'accuracy': 0.94325}   | {'f1': 0.9436304941643905} | 0.1456          |
| 0.1714        | 3.21  | 3970 | {'accuracy': 0.9428125} | {'f1': 0.943262851119241}  | 0.1465          |
| 0.1941        | 3.21  | 3975 | {'accuracy': 0.9441875} | {'f1': 0.9438964629013005} | 0.1454          |
| 0.1839        | 3.22  | 3980 | {'accuracy': 0.942125}  | {'f1': 0.9428536163910146} | 0.1483          |
| 0.1799        | 3.22  | 3985 | {'accuracy': 0.9434375} | {'f1': 0.943518691880422}  | 0.1460          |
| 0.1718        | 3.23  | 3990 | {'accuracy': 0.943}     | {'f1': 0.9431634052100212} | 0.1470          |
| 0.1657        | 3.23  | 3995 | {'accuracy': 0.941375}  | {'f1': 0.9419051158181593} | 0.1480          |
| 0.1577        | 3.23  | 4000 | {'accuracy': 0.9431875} | {'f1': 0.94330443460363}   | 0.1476          |
| 0.1738        | 3.24  | 4005 | {'accuracy': 0.94325}   | {'f1': 0.9436724565756823} | 0.1487          |
| 0.1995        | 3.24  | 4010 | {'accuracy': 0.9448125} | {'f1': 0.9449123463722005} | 0.1476          |
| 0.1568        | 3.25  | 4015 | {'accuracy': 0.9440625} | {'f1': 0.9441706693281767} | 0.1471          |
| 0.1715        | 3.25  | 4020 | {'accuracy': 0.9430625} | {'f1': 0.9433069886116124} | 0.1470          |
| 0.1852        | 3.25  | 4025 | {'accuracy': 0.94325}   | {'f1': 0.9437770897832819} | 0.1478          |
| 0.1607        | 3.26  | 4030 | {'accuracy': 0.9433125} | {'f1': 0.9437379815147943} | 0.1489          |
| 0.2045        | 3.26  | 4035 | {'accuracy': 0.941}     | {'f1': 0.941699604743083}  | 0.1509          |
| 0.175         | 3.27  | 4040 | {'accuracy': 0.94325}   | {'f1': 0.9431718613093003} | 0.1471          |
| 0.1579        | 3.27  | 4045 | {'accuracy': 0.94225}   | {'f1': 0.9430613754005422} | 0.1498          |
| 0.1965        | 3.27  | 4050 | {'accuracy': 0.9431875} | {'f1': 0.9431341883015326} | 0.1469          |
| 0.186         | 3.28  | 4055 | {'accuracy': 0.942375}  | {'f1': 0.9429172857850422} | 0.1478          |
| 0.1673        | 3.28  | 4060 | {'accuracy': 0.9434375} | {'f1': 0.9436663554310613} | 0.1475          |
| 0.1742        | 3.29  | 4065 | {'accuracy': 0.943125}  | {'f1': 0.9433938790743968} | 0.1478          |
| 0.1634        | 3.29  | 4070 | {'accuracy': 0.9425625} | {'f1': 0.9428873283201791} | 0.1473          |
| 0.174         | 3.29  | 4075 | {'accuracy': 0.942125}  | {'f1': 0.9423196711100037} | 0.1470          |
| 0.1703        | 3.3   | 4080 | {'accuracy': 0.9421875} | {'f1': 0.9423208829581592} | 0.1476          |
| 0.1718        | 3.3   | 4085 | {'accuracy': 0.9416875} | {'f1': 0.942232679091078}  | 0.1491          |
| 0.1839        | 3.31  | 4090 | {'accuracy': 0.943}     | {'f1': 0.9431988041853512} | 0.1469          |
| 0.1527        | 3.31  | 4095 | {'accuracy': 0.9438125} | {'f1': 0.9439001560062403} | 0.1465          |
| 0.1753        | 3.31  | 4100 | {'accuracy': 0.9435625} | {'f1': 0.9436224011987263} | 0.1467          |
| 0.1613        | 3.32  | 4105 | {'accuracy': 0.9423125} | {'f1': 0.9428022556856913} | 0.1483          |
| 0.1701        | 3.32  | 4110 | {'accuracy': 0.943}     | {'f1': 0.9430995757424506} | 0.1477          |
| 0.1674        | 3.33  | 4115 | {'accuracy': 0.941625}  | {'f1': 0.9423599111330536} | 0.1513          |
| 0.1889        | 3.33  | 4120 | {'accuracy': 0.9434375} | {'f1': 0.9434127430750954} | 0.1483          |
| 0.1693        | 3.33  | 4125 | {'accuracy': 0.9411875} | {'f1': 0.9417806100352657} | 0.1490          |
| 0.1819        | 3.34  | 4130 | {'accuracy': 0.942375}  | {'f1': 0.9427186878727635} | 0.1470          |
| 0.1964        | 3.34  | 4135 | {'accuracy': 0.9423125} | {'f1': 0.942702836923459}  | 0.1471          |
| 0.1678        | 3.35  | 4140 | {'accuracy': 0.9419375} | {'f1': 0.9423017203900379} | 0.1470          |
| 0.1817        | 3.35  | 4145 | {'accuracy': 0.9420625} | {'f1': 0.9424759540800498} | 0.1476          |
| 0.1541        | 3.35  | 4150 | {'accuracy': 0.9425}    | {'f1': 0.9428571428571428} | 0.1474          |
| 0.2019        | 3.36  | 4155 | {'accuracy': 0.942875}  | {'f1': 0.9430387635547801} | 0.1470          |
| 0.186         | 3.36  | 4160 | {'accuracy': 0.9425625} | {'f1': 0.9430289504680429} | 0.1471          |
| 0.1764        | 3.37  | 4165 | {'accuracy': 0.9415}    | {'f1': 0.9421221864951769} | 0.1478          |
| 0.1601        | 3.37  | 4170 | {'accuracy': 0.9421875} | {'f1': 0.9423352658811794} | 0.1475          |
| 0.1719        | 3.37  | 4175 | {'accuracy': 0.9415625} | {'f1': 0.9420514409668423} | 0.1478          |
| 0.1658        | 3.38  | 4180 | {'accuracy': 0.9403125} | {'f1': 0.9410893837517735} | 0.1491          |
| 0.1577        | 3.38  | 4185 | {'accuracy': 0.94125}   | {'f1': 0.9416583912611719} | 0.1473          |
| 0.1678        | 3.39  | 4190 | {'accuracy': 0.942}     | {'f1': 0.9422166874221668} | 0.1473          |
| 0.165         | 3.39  | 4195 | {'accuracy': 0.9400625} | {'f1': 0.9408863958577328} | 0.1501          |
| 0.196         | 3.39  | 4200 | {'accuracy': 0.94225}   | {'f1': 0.9423940149625936} | 0.1472          |
| 0.1646        | 3.4   | 4205 | {'accuracy': 0.9425625} | {'f1': 0.942673569958206}  | 0.1470          |
| 0.1501        | 3.4   | 4210 | {'accuracy': 0.93975}   | {'f1': 0.9408080559990175} | 0.1522          |
| 0.1976        | 3.41  | 4215 | {'accuracy': 0.941625}  | {'f1': 0.9413316582914573} | 0.1492          |
| 0.1827        | 3.41  | 4220 | {'accuracy': 0.94175}   | {'f1': 0.9422767248854205} | 0.1487          |
| 0.1669        | 3.41  | 4225 | {'accuracy': 0.9425}    | {'f1': 0.9428713363139593} | 0.1483          |
| 0.1892        | 3.42  | 4230 | {'accuracy': 0.94225}   | {'f1': 0.9423364952571143} | 0.1479          |
| 0.1822        | 3.42  | 4235 | {'accuracy': 0.940875}  | {'f1': 0.941402378592666}  | 0.1491          |
| 0.193         | 3.43  | 4240 | {'accuracy': 0.941}     | {'f1': 0.9413373104648273} | 0.1479          |
| 0.1556        | 3.43  | 4245 | {'accuracy': 0.94075}   | {'f1': 0.9413584065322281} | 0.1494          |
| 0.1804        | 3.44  | 4250 | {'accuracy': 0.9415}    | {'f1': 0.9416822429906541} | 0.1480          |
| 0.1968        | 3.44  | 4255 | {'accuracy': 0.9398125} | {'f1': 0.940771265145458}  | 0.1516          |
| 0.1628        | 3.44  | 4260 | {'accuracy': 0.9418125} | {'f1': 0.9419322647040479} | 0.1482          |
| 0.1552        | 3.45  | 4265 | {'accuracy': 0.942375}  | {'f1': 0.9425902864259029} | 0.1480          |
| 0.1953        | 3.45  | 4270 | {'accuracy': 0.9400625} | {'f1': 0.940944639448242}  | 0.1521          |
| 0.1652        | 3.46  | 4275 | {'accuracy': 0.941375}  | {'f1': 0.9412722263961932} | 0.1472          |
| 0.1803        | 3.46  | 4280 | {'accuracy': 0.9421875} | {'f1': 0.9426000620539869} | 0.1498          |
| 0.1973        | 3.46  | 4285 | {'accuracy': 0.9418125} | {'f1': 0.9419684597643833} | 0.1484          |
| 0.1738        | 3.47  | 4290 | {'accuracy': 0.94075}   | {'f1': 0.9415680473372781} | 0.1519          |
| 0.1746        | 3.47  | 4295 | {'accuracy': 0.9421875} | {'f1': 0.9425929373797555} | 0.1504          |
| 0.1671        | 3.48  | 4300 | {'accuracy': 0.9406875} | {'f1': 0.9413001793777448} | 0.1515          |
| 0.1758        | 3.48  | 4305 | {'accuracy': 0.94025}   | {'f1': 0.9407242063492064} | 0.1507          |
| 0.1629        | 3.48  | 4310 | {'accuracy': 0.941625}  | {'f1': 0.9418285999003487} | 0.1488          |
| 0.1641        | 3.49  | 4315 | {'accuracy': 0.941125}  | {'f1': 0.9417223459539719} | 0.1492          |
| 0.1622        | 3.49  | 4320 | {'accuracy': 0.9428125} | {'f1': 0.9430367926290232} | 0.1478          |
| 0.1677        | 3.5   | 4325 | {'accuracy': 0.943125}  | {'f1': 0.9430823117338004} | 0.1481          |
| 0.1879        | 3.5   | 4330 | {'accuracy': 0.9398125} | {'f1': 0.9406178701362767} | 0.1503          |
| 0.1815        | 3.5   | 4335 | {'accuracy': 0.94125}   | {'f1': 0.9417523856735655} | 0.1485          |
| 0.1653        | 3.51  | 4340 | {'accuracy': 0.94175}   | {'f1': 0.9422266303000247} | 0.1485          |
| 0.1791        | 3.51  | 4345 | {'accuracy': 0.94075}   | {'f1': 0.9415103652517276} | 0.1504          |
| 0.1769        | 3.52  | 4350 | {'accuracy': 0.9420625} | {'f1': 0.942224992209411}  | 0.1489          |
| 0.1764        | 3.52  | 4355 | {'accuracy': 0.94175}   | {'f1': 0.9422266303000247} | 0.1499          |
| 0.1842        | 3.52  | 4360 | {'accuracy': 0.941125}  | {'f1': 0.9414834140887067} | 0.1506          |
| 0.1849        | 3.53  | 4365 | {'accuracy': 0.9409375} | {'f1': 0.9411324985983929} | 0.1501          |
| 0.1992        | 3.53  | 4370 | {'accuracy': 0.94125}   | {'f1': 0.9417884567748328} | 0.1497          |
| 0.1775        | 3.54  | 4375 | {'accuracy': 0.940125}  | {'f1': 0.9408349802371542} | 0.1502          |
| 0.1984        | 3.54  | 4380 | {'accuracy': 0.9420625} | {'f1': 0.9424759540800498} | 0.1488          |
| 0.157         | 3.54  | 4385 | {'accuracy': 0.942}     | {'f1': 0.94240317775571}   | 0.1483          |
| 0.1704        | 3.55  | 4390 | {'accuracy': 0.941375}  | {'f1': 0.9420558438349396} | 0.1493          |
| 0.196         | 3.55  | 4395 | {'accuracy': 0.9425625} | {'f1': 0.9426306261314691} | 0.1480          |
| 0.1705        | 3.56  | 4400 | {'accuracy': 0.943625}  | {'f1': 0.9439054726368159} | 0.1487          |
| 0.1809        | 3.56  | 4405 | {'accuracy': 0.944}     | {'f1': 0.9440768942703782} | 0.1478          |
| 0.1812        | 3.56  | 4410 | {'accuracy': 0.944375}  | {'f1': 0.9444305694305695} | 0.1473          |
| 0.1684        | 3.57  | 4415 | {'accuracy': 0.9434375} | {'f1': 0.943560960399127}  | 0.1476          |
| 0.1717        | 3.57  | 4420 | {'accuracy': 0.943}     | {'f1': 0.9431988041853512} | 0.1476          |
| 0.1863        | 3.58  | 4425 | {'accuracy': 0.9426875} | {'f1': 0.9431529353418883} | 0.1480          |
| 0.1753        | 3.58  | 4430 | {'accuracy': 0.942}     | {'f1': 0.9422454568085636} | 0.1480          |
| 0.1805        | 3.58  | 4435 | {'accuracy': 0.940625}  | {'f1': 0.9411983164149542} | 0.1486          |
| 0.1569        | 3.59  | 4440 | {'accuracy': 0.942375}  | {'f1': 0.9426830784533134} | 0.1482          |
| 0.1645        | 3.59  | 4445 | {'accuracy': 0.9425625} | {'f1': 0.942472613458529}  | 0.1478          |
| 0.187         | 3.6   | 4450 | {'accuracy': 0.93975}   | {'f1': 0.9404791306495431} | 0.1500          |
| 0.2041        | 3.6   | 4455 | {'accuracy': 0.9404375} | {'f1': 0.9410600531881996} | 0.1502          |
| 0.1877        | 3.6   | 4460 | {'accuracy': 0.942875}  | {'f1': 0.942767689417658}  | 0.1493          |
| 0.1725        | 3.61  | 4465 | {'accuracy': 0.94}      | {'f1': 0.9407187847350871} | 0.1516          |
| 0.1773        | 3.61  | 4470 | {'accuracy': 0.94225}   | {'f1': 0.942134268537074}  | 0.1491          |
| 0.1706        | 3.62  | 4475 | {'accuracy': 0.941375}  | {'f1': 0.9416884247171453} | 0.1505          |
| 0.199         | 3.62  | 4480 | {'accuracy': 0.9389375} | {'f1': 0.9399987717251121} | 0.1541          |
| 0.1652        | 3.63  | 4485 | {'accuracy': 0.9418125} | {'f1': 0.941317365269461}  | 0.1496          |
| 0.1766        | 3.63  | 4490 | {'accuracy': 0.9416875} | {'f1': 0.941908972044082}  | 0.1489          |
| 0.167         | 3.63  | 4495 | {'accuracy': 0.939875}  | {'f1': 0.9405365310916058} | 0.1510          |
| 0.184         | 3.64  | 4500 | {'accuracy': 0.9428125} | {'f1': 0.9428089255578475} | 0.1493          |
| 0.1637        | 3.64  | 4505 | {'accuracy': 0.941875}  | {'f1': 0.9422718808193669} | 0.1489          |
| 0.1758        | 3.65  | 4510 | {'accuracy': 0.9420625} | {'f1': 0.9422537843393759} | 0.1478          |
| 0.1794        | 3.65  | 4515 | {'accuracy': 0.9431875} | {'f1': 0.9431555249828029} | 0.1473          |
| 0.1653        | 3.65  | 4520 | {'accuracy': 0.943125}  | {'f1': 0.9434642147117296} | 0.1502          |
| 0.1647        | 3.66  | 4525 | {'accuracy': 0.94275}   | {'f1': 0.9430419102101727} | 0.1508          |
| 0.1836        | 3.66  | 4530 | {'accuracy': 0.943375}  | {'f1': 0.9434245035593856} | 0.1483          |
| 0.1876        | 3.67  | 4535 | {'accuracy': 0.943375}  | {'f1': 0.9432117337344866} | 0.1475          |
| 0.1612        | 3.67  | 4540 | {'accuracy': 0.942}     | {'f1': 0.9423172550969666} | 0.1478          |
| 0.1875        | 3.67  | 4545 | {'accuracy': 0.9418125} | {'f1': 0.9421918658801615} | 0.1495          |
| 0.1538        | 3.68  | 4550 | {'accuracy': 0.9428125} | {'f1': 0.9433681995419942} | 0.1497          |
| 0.166         | 3.68  | 4555 | {'accuracy': 0.9435}    | {'f1': 0.9435916635467366} | 0.1476          |
| 0.184         | 3.69  | 4560 | {'accuracy': 0.943125}  | {'f1': 0.9434220343198209} | 0.1482          |
| 0.1819        | 3.69  | 4565 | {'accuracy': 0.94225}   | {'f1': 0.9426158241212272} | 0.1487          |
| 0.1735        | 3.69  | 4570 | {'accuracy': 0.9425625} | {'f1': 0.9428233683817581} | 0.1485          |
| 0.171         | 3.7   | 4575 | {'accuracy': 0.9416875} | {'f1': 0.9423397812248934} | 0.1504          |
| 0.1645        | 3.7   | 4580 | {'accuracy': 0.943375}  | {'f1': 0.9436567164179104} | 0.1485          |
| 0.218         | 3.71  | 4585 | {'accuracy': 0.9431875} | {'f1': 0.9433891760602853} | 0.1483          |
| 0.1639        | 3.71  | 4590 | {'accuracy': 0.9420625} | {'f1': 0.9423973156030573} | 0.1488          |
| 0.1911        | 3.71  | 4595 | {'accuracy': 0.941875}  | {'f1': 0.9421929388363999} | 0.1498          |
| 0.1824        | 3.72  | 4600 | {'accuracy': 0.9410625} | {'f1': 0.941577349606592}  | 0.1506          |
| 0.1898        | 3.72  | 4605 | {'accuracy': 0.9408125} | {'f1': 0.9415396012099513} | 0.1516          |
| 0.1793        | 3.73  | 4610 | {'accuracy': 0.942125}  | {'f1': 0.9423412204234122} | 0.1497          |
| 0.1906        | 3.73  | 4615 | {'accuracy': 0.9423125} | {'f1': 0.9425244411233576} | 0.1498          |
| 0.1686        | 3.73  | 4620 | {'accuracy': 0.942125}  | {'f1': 0.9420380570856285} | 0.1491          |
| 0.1728        | 3.74  | 4625 | {'accuracy': 0.9416875} | {'f1': 0.9420172767385495} | 0.1493          |
| 0.169         | 3.74  | 4630 | {'accuracy': 0.9413125} | {'f1': 0.94194027082174}   | 0.1505          |
| 0.1773        | 3.75  | 4635 | {'accuracy': 0.9418125} | {'f1': 0.9420334972915757} | 0.1489          |
| 0.1759        | 3.75  | 4640 | {'accuracy': 0.941875}  | {'f1': 0.942128189172371}  | 0.1490          |
| 0.1851        | 3.75  | 4645 | {'accuracy': 0.9420625} | {'f1': 0.9424259362772498} | 0.1487          |
| 0.1782        | 3.76  | 4650 | {'accuracy': 0.9413125} | {'f1': 0.941673395863097}  | 0.1487          |
| 0.1716        | 3.76  | 4655 | {'accuracy': 0.9409375} | {'f1': 0.9410884608191509} | 0.1489          |
| 0.1571        | 3.77  | 4660 | {'accuracy': 0.940375}  | {'f1': 0.9407379798732761} | 0.1495          |
| 0.2271        | 3.77  | 4665 | {'accuracy': 0.94025}   | {'f1': 0.9406874302022583} | 0.1490          |
| 0.1545        | 3.77  | 4670 | {'accuracy': 0.940875}  | {'f1': 0.9413515189088655} | 0.1489          |
| 0.1814        | 3.78  | 4675 | {'accuracy': 0.9410625} | {'f1': 0.9414394833260883} | 0.1490          |
| 0.1529        | 3.78  | 4680 | {'accuracy': 0.94125}   | {'f1': 0.9415131906421106} | 0.1498          |
| 0.172         | 3.79  | 4685 | {'accuracy': 0.9415625} | {'f1': 0.9420370714772798} | 0.1515          |
| 0.1733        | 3.79  | 4690 | {'accuracy': 0.9410625} | {'f1': 0.9414758269720103} | 0.1504          |
| 0.1757        | 3.79  | 4695 | {'accuracy': 0.9416875} | {'f1': 0.9420100689912362} | 0.1492          |
| 0.1776        | 3.8   | 4700 | {'accuracy': 0.941875}  | {'f1': 0.941983780411728}  | 0.1481          |
| 0.169         | 3.8   | 4705 | {'accuracy': 0.9408125} | {'f1': 0.941676418057523}  | 0.1515          |
| 0.1858        | 3.81  | 4710 | {'accuracy': 0.9413125} | {'f1': 0.9421263482280432} | 0.1507          |
| 0.1824        | 3.81  | 4715 | {'accuracy': 0.9425625} | {'f1': 0.9427806487765396} | 0.1478          |
| 0.1751        | 3.81  | 4720 | {'accuracy': 0.9418125} | {'f1': 0.9424491562094331} | 0.1489          |
| 0.1537        | 3.82  | 4725 | {'accuracy': 0.94125}   | {'f1': 0.9418460777035387} | 0.1490          |
| 0.1834        | 3.82  | 4730 | {'accuracy': 0.941625}  | {'f1': 0.9416687484386711} | 0.1487          |
| 0.1891        | 3.83  | 4735 | {'accuracy': 0.9399375} | {'f1': 0.9409233417348005} | 0.1528          |
| 0.1745        | 3.83  | 4740 | {'accuracy': 0.9410625} | {'f1': 0.9411177021542305} | 0.1476          |
| 0.1761        | 3.84  | 4745 | {'accuracy': 0.94175}   | {'f1': 0.9418735187726082} | 0.1477          |
| 0.1713        | 3.84  | 4750 | {'accuracy': 0.9420625} | {'f1': 0.9423758314166718} | 0.1484          |
| 0.1702        | 3.84  | 4755 | {'accuracy': 0.9419375} | {'f1': 0.9421940140625973} | 0.1485          |
| 0.1684        | 3.85  | 4760 | {'accuracy': 0.942}     | {'f1': 0.9421806853582555} | 0.1479          |
| 0.1767        | 3.85  | 4765 | {'accuracy': 0.9426875} | {'f1': 0.9428624836438407} | 0.1481          |
| 0.178         | 3.86  | 4770 | {'accuracy': 0.9414375} | {'f1': 0.9419418799182105} | 0.1495          |
| 0.1596        | 3.86  | 4775 | {'accuracy': 0.9429375} | {'f1': 0.942769385068639}  | 0.1480          |
| 0.1651        | 3.86  | 4780 | {'accuracy': 0.9418125} | {'f1': 0.9421487603305785} | 0.1482          |
| 0.1549        | 3.87  | 4785 | {'accuracy': 0.9414375} | {'f1': 0.9420639337166882} | 0.1495          |
| 0.1835        | 3.87  | 4790 | {'accuracy': 0.94275}   | {'f1': 0.9429070057342309} | 0.1476          |
| 0.1776        | 3.88  | 4795 | {'accuracy': 0.941625}  | {'f1': 0.9419803702323271} | 0.1485          |
| 0.1989        | 3.88  | 4800 | {'accuracy': 0.9418125} | {'f1': 0.9421631359880723} | 0.1485          |
| 0.1706        | 3.88  | 4805 | {'accuracy': 0.9414375} | {'f1': 0.9415798989961968} | 0.1481          |
| 0.1803        | 3.89  | 4810 | {'accuracy': 0.9404375} | {'f1': 0.9412417534989826} | 0.1510          |
| 0.1859        | 3.89  | 4815 | {'accuracy': 0.9406875} | {'f1': 0.9410961454906586} | 0.1487          |
| 0.1492        | 3.9   | 4820 | {'accuracy': 0.9413125} | {'f1': 0.9417096033273326} | 0.1485          |
| 0.1937        | 3.9   | 4825 | {'accuracy': 0.941125}  | {'f1': 0.941635687732342}  | 0.1492          |
| 0.1642        | 3.9   | 4830 | {'accuracy': 0.9419375} | {'f1': 0.9420353154052536} | 0.1484          |
| 0.1572        | 3.91  | 4835 | {'accuracy': 0.9415625} | {'f1': 0.9419290727284019} | 0.1488          |
| 0.1921        | 3.91  | 4840 | {'accuracy': 0.9416875} | {'f1': 0.9420316868592731} | 0.1477          |
| 0.2018        | 3.92  | 4845 | {'accuracy': 0.941625}  | {'f1': 0.9416104026006503} | 0.1475          |
| 0.1807        | 3.92  | 4850 | {'accuracy': 0.9418125} | {'f1': 0.9423636476196372} | 0.1487          |
| 0.1815        | 3.92  | 4855 | {'accuracy': 0.9423125} | {'f1': 0.9424957946545387} | 0.1473          |
| 0.1627        | 3.93  | 4860 | {'accuracy': 0.9428125} | {'f1': 0.9429088413302552} | 0.1473          |
| 0.1643        | 3.93  | 4865 | {'accuracy': 0.9421875} | {'f1': 0.9426214254698839} | 0.1478          |
| 0.1603        | 3.94  | 4870 | {'accuracy': 0.941875}  | {'f1': 0.9425287356321839} | 0.1492          |
| 0.1701        | 3.94  | 4875 | {'accuracy': 0.9416875} | {'f1': 0.9413686922641865} | 0.1481          |
| 0.1613        | 3.94  | 4880 | {'accuracy': 0.9425}    | {'f1': 0.9427362131208764} | 0.1484          |
| 0.1924        | 3.95  | 4885 | {'accuracy': 0.9431875} | {'f1': 0.9434947473114939} | 0.1487          |
| 0.1498        | 3.95  | 4890 | {'accuracy': 0.9424375} | {'f1': 0.9427772600186393} | 0.1483          |
| 0.1618        | 3.96  | 4895 | {'accuracy': 0.941875}  | {'f1': 0.9423434593924364} | 0.1492          |
| 0.1692        | 3.96  | 4900 | {'accuracy': 0.9419375} | {'f1': 0.9420136071406279} | 0.1493          |
| 0.177         | 3.96  | 4905 | {'accuracy': 0.9416875} | {'f1': 0.9422684239836645} | 0.1495          |
| 0.1782        | 3.97  | 4910 | {'accuracy': 0.940875}  | {'f1': 0.941640962368908}  | 0.1497          |
| 0.1554        | 3.97  | 4915 | {'accuracy': 0.942}     | {'f1': 0.9420868696954569} | 0.1474          |
| 0.1903        | 3.98  | 4920 | {'accuracy': 0.942375}  | {'f1': 0.9425258695923202} | 0.1472          |
| 0.175         | 3.98  | 4925 | {'accuracy': 0.9418125} | {'f1': 0.9424704937279863} | 0.1487          |
| 0.1768        | 3.98  | 4930 | {'accuracy': 0.9423125} | {'f1': 0.9425387536574737} | 0.1477          |
| 0.1762        | 3.99  | 4935 | {'accuracy': 0.94125}   | {'f1': 0.9410288582183187} | 0.1479          |
| 0.1886        | 3.99  | 4940 | {'accuracy': 0.9416875} | {'f1': 0.9417275623009181} | 0.1475          |
| 0.2099        | 4.0   | 4945 | {'accuracy': 0.9423125} | {'f1': 0.9428022556856913} | 0.1485          |
| 0.1503        | 4.0   | 4950 | {'accuracy': 0.941875}  | {'f1': 0.9423148492742836} | 0.1482          |
| 0.1398        | 4.0   | 4955 | {'accuracy': 0.9423125} | {'f1': 0.9424024960998441} | 0.1494          |
| 0.1477        | 4.01  | 4960 | {'accuracy': 0.94175}   | {'f1': 0.9420974155069584} | 0.1514          |
| 0.1645        | 4.01  | 4965 | {'accuracy': 0.9419375} | {'f1': 0.9422730379668178} | 0.1498          |
| 0.1564        | 4.02  | 4970 | {'accuracy': 0.9425}    | {'f1': 0.9427718337894998} | 0.1481          |
| 0.1287        | 4.02  | 4975 | {'accuracy': 0.94275}   | {'f1': 0.9430064708810354} | 0.1488          |
| 0.1627        | 4.03  | 4980 | {'accuracy': 0.9428125} | {'f1': 0.9430013081666978} | 0.1504          |
| 0.1665        | 4.03  | 4985 | {'accuracy': 0.9434375} | {'f1': 0.9436312675179073} | 0.1507          |
| 0.1465        | 4.03  | 4990 | {'accuracy': 0.9428125} | {'f1': 0.9431853461657871} | 0.1505          |
| 0.1431        | 4.04  | 4995 | {'accuracy': 0.9425625} | {'f1': 0.942880228727702}  | 0.1494          |
| 0.1447        | 4.04  | 5000 | {'accuracy': 0.942375}  | {'f1': 0.9424971934638893} | 0.1494          |
| 0.1451        | 4.05  | 5005 | {'accuracy': 0.9419375} | {'f1': 0.9421724245253658} | 0.1505          |
| 0.1365        | 4.05  | 5010 | {'accuracy': 0.9416875} | {'f1': 0.9422255248002972} | 0.1528          |
| 0.1365        | 4.05  | 5015 | {'accuracy': 0.9423125} | {'f1': 0.9427312775330396} | 0.1517          |
| 0.1754        | 4.06  | 5020 | {'accuracy': 0.942}     | {'f1': 0.9424103264242274} | 0.1504          |
| 0.1385        | 4.06  | 5025 | {'accuracy': 0.941}     | {'f1': 0.9412862296305511} | 0.1499          |
| 0.133         | 4.07  | 5030 | {'accuracy': 0.9403125} | {'f1': 0.9411982020811527} | 0.1537          |
| 0.1595        | 4.07  | 5035 | {'accuracy': 0.9410625} | {'f1': 0.9414685618521507} | 0.1528          |
| 0.1918        | 4.07  | 5040 | {'accuracy': 0.941875}  | {'f1': 0.9420271786560279} | 0.1511          |
| 0.1484        | 4.08  | 5045 | {'accuracy': 0.9409375} | {'f1': 0.9415186583328176} | 0.1503          |
| 0.1554        | 4.08  | 5050 | {'accuracy': 0.9410625} | {'f1': 0.9415990586486653} | 0.1499          |
| 0.1284        | 4.09  | 5055 | {'accuracy': 0.94125}   | {'f1': 0.9415931403007332} | 0.1510          |
| 0.1446        | 4.09  | 5060 | {'accuracy': 0.94175}   | {'f1': 0.9420181659823317} | 0.1530          |
| 0.1817        | 4.09  | 5065 | {'accuracy': 0.9409375} | {'f1': 0.9414896910408024} | 0.1533          |
| 0.1292        | 4.1   | 5070 | {'accuracy': 0.942125}  | {'f1': 0.9423986066185618} | 0.1503          |
| 0.1454        | 4.1   | 5075 | {'accuracy': 0.942}     | {'f1': 0.9423888750931215} | 0.1506          |
| 0.1339        | 4.11  | 5080 | {'accuracy': 0.9426875} | {'f1': 0.9428125974430932} | 0.1498          |
| 0.1296        | 4.11  | 5085 | {'accuracy': 0.9419375} | {'f1': 0.9422802112457285} | 0.1511          |
| 0.1539        | 4.11  | 5090 | {'accuracy': 0.9409375} | {'f1': 0.9414389291689905} | 0.1529          |
| 0.1358        | 4.12  | 5095 | {'accuracy': 0.9424375} | {'f1': 0.9423834845167345} | 0.1515          |
| 0.1541        | 4.12  | 5100 | {'accuracy': 0.9416875} | {'f1': 0.942089255787971}  | 0.1515          |
| 0.1581        | 4.13  | 5105 | {'accuracy': 0.9420625} | {'f1': 0.9424759540800498} | 0.1518          |
| 0.1576        | 4.13  | 5110 | {'accuracy': 0.9429375} | {'f1': 0.943069152584648}  | 0.1506          |
| 0.1491        | 4.13  | 5115 | {'accuracy': 0.9415625} | {'f1': 0.9420226948595524} | 0.1516          |
| 0.1528        | 4.14  | 5120 | {'accuracy': 0.9426875} | {'f1': 0.9429122828861358} | 0.1506          |
| 0.1614        | 4.14  | 5125 | {'accuracy': 0.9428125} | {'f1': 0.9427659973728655} | 0.1503          |
| 0.1441        | 4.15  | 5130 | {'accuracy': 0.9413125} | {'f1': 0.9417963181057459} | 0.1511          |
| 0.1566        | 4.15  | 5135 | {'accuracy': 0.9410625} | {'f1': 0.9415990586486653} | 0.1523          |
| 0.1374        | 4.15  | 5140 | {'accuracy': 0.941875}  | {'f1': 0.9418895276180955} | 0.1514          |
| 0.156         | 4.16  | 5145 | {'accuracy': 0.9418125} | {'f1': 0.9419395073277206} | 0.1523          |
| 0.1622        | 4.16  | 5150 | {'accuracy': 0.94125}   | {'f1': 0.9416149068322981} | 0.1526          |
| 0.1412        | 4.17  | 5155 | {'accuracy': 0.9408125} | {'f1': 0.9414600976695309} | 0.1539          |
| 0.1493        | 4.17  | 5160 | {'accuracy': 0.9415625} | {'f1': 0.941617233843272}  | 0.1516          |
| 0.1241        | 4.17  | 5165 | {'accuracy': 0.9415}    | {'f1': 0.9416386083052749} | 0.1512          |
| 0.1548        | 4.18  | 5170 | {'accuracy': 0.9409375} | {'f1': 0.9412130637636081} | 0.1513          |
| 0.1313        | 4.18  | 5175 | {'accuracy': 0.9406875} | {'f1': 0.9410082675452228} | 0.1516          |
| 0.1302        | 4.19  | 5180 | {'accuracy': 0.9400625} | {'f1': 0.9404680613321745} | 0.1531          |
| 0.1748        | 4.19  | 5185 | {'accuracy': 0.940375}  | {'f1': 0.9405533399800599} | 0.1521          |
| 0.1574        | 4.19  | 5190 | {'accuracy': 0.940375}  | {'f1': 0.94084087808508}   | 0.1513          |
| 0.1391        | 4.2   | 5195 | {'accuracy': 0.94025}   | {'f1': 0.9406211180124222} | 0.1505          |
| 0.1581        | 4.2   | 5200 | {'accuracy': 0.941}     | {'f1': 0.9414101290963256} | 0.1506          |
| 0.1414        | 4.21  | 5205 | {'accuracy': 0.941}     | {'f1': 0.941475511469312}  | 0.1518          |
| 0.1574        | 4.21  | 5210 | {'accuracy': 0.9423125} | {'f1': 0.9424957946545387} | 0.1517          |
| 0.1503        | 4.21  | 5215 | {'accuracy': 0.9420625} | {'f1': 0.9422609778885082} | 0.1512          |
| 0.1702        | 4.22  | 5220 | {'accuracy': 0.9408125} | {'f1': 0.9413004400917374} | 0.1525          |
| 0.1264        | 4.22  | 5225 | {'accuracy': 0.939875}  | {'f1': 0.940580605311921}  | 0.1543          |
| 0.1424        | 4.23  | 5230 | {'accuracy': 0.941}     | {'f1': 0.9412350597609562} | 0.1531          |
| 0.1806        | 4.23  | 5235 | {'accuracy': 0.9418125} | {'f1': 0.9415898111550285} | 0.1524          |
| 0.1406        | 4.24  | 5240 | {'accuracy': 0.9401875} | {'f1': 0.9406143344709897} | 0.1505          |
| 0.1636        | 4.24  | 5245 | {'accuracy': 0.9406875} | {'f1': 0.9410961454906586} | 0.1499          |
| 0.145         | 4.24  | 5250 | {'accuracy': 0.942}     | {'f1': 0.9419927490936368} | 0.1495          |
| 0.1469        | 4.25  | 5255 | {'accuracy': 0.9406875} | {'f1': 0.9410742005588326} | 0.1511          |
| 0.1427        | 4.25  | 5260 | {'accuracy': 0.940625}  | {'f1': 0.9412637566464697} | 0.1533          |
| 0.1437        | 4.26  | 5265 | {'accuracy': 0.9410625} | {'f1': 0.9414103758931345} | 0.1515          |
| 0.1787        | 4.26  | 5270 | {'accuracy': 0.94075}   | {'f1': 0.941096060643718}  | 0.1505          |
| 0.1479        | 4.26  | 5275 | {'accuracy': 0.9403125} | {'f1': 0.9409071220840294} | 0.1506          |
| 0.1436        | 4.27  | 5280 | {'accuracy': 0.9401875} | {'f1': 0.9407026457649171} | 0.1508          |
| 0.1415        | 4.27  | 5285 | {'accuracy': 0.941625}  | {'f1': 0.9419731610337972} | 0.1508          |
| 0.1349        | 4.28  | 5290 | 0.1128                  | {'accuracy': 0.9584375}    | {'f1': 0.958226019222313}|
| 0.128         | 4.28  | 5295 | 0.1130                  | {'accuracy': 0.9583125}    | {'f1': 0.9581371995230026}|
| 0.1346        | 4.28  | 5300 | 0.1133                  | {'accuracy': 0.95775}      | {'f1': 0.9577447180897612}|
| 0.1315        | 4.29  | 5305 | 0.1137                  | {'accuracy': 0.9573125}    | {'f1': 0.9573684539042506}|
| 0.1516        | 4.29  | 5310 | 0.1121                  | {'accuracy': 0.958375}     | {'f1': 0.9581815898530704}|
| 0.1255        | 4.3   | 5315 | 0.1126                  | {'accuracy': 0.958}        | {'f1': 0.9579105599398723}|
| 0.1286        | 4.3   | 5320 | 0.1142                  | {'accuracy': 0.9571875}    | {'f1': 0.9572382795430425}|
| 0.1522        | 4.3   | 5325 | 0.1138                  | {'accuracy': 0.958125}     | {'f1': 0.9580358261305274}|
| 0.1386        | 4.31  | 5330 | 0.1131                  | {'accuracy': 0.9585}       | {'f1': 0.9583019341873901}|
| 0.1521        | 4.31  | 5335 | 0.1125                  | {'accuracy': 0.95825}      | {'f1': 0.9580875894089596}|
| 0.1181        | 4.32  | 5340 | 0.1135                  | {'accuracy': 0.9566875}    | {'f1': 0.9567334706873947}|
| 0.1495        | 4.32  | 5345 | 0.1129                  | {'accuracy': 0.957375}     | {'f1': 0.9573963018490755}|
| 0.1461        | 4.32  | 5350 | 0.1118                  | {'accuracy': 0.958625}     | {'f1': 0.95843797086891}|
| 0.1614        | 4.33  | 5355 | 0.1119                  | {'accuracy': 0.958875}     | {'f1': 0.9586527585773532}|
| 0.1209        | 4.33  | 5360 | 0.1132                  | {'accuracy': 0.9580625}    | {'f1': 0.9580546352441083}|
| 0.128         | 4.34  | 5365 | 0.1127                  | {'accuracy': 0.9584375}    | {'f1': 0.9583880858519491}|
| 0.1274        | 4.34  | 5370 | 0.1122                  | {'accuracy': 0.9591875}    | {'f1': 0.9589746811585098}|
| 0.1483        | 4.35  | 5375 | 0.1122                  | {'accuracy': 0.9589375}    | {'f1': 0.9586922351461805}|
| 0.1399        | 4.35  | 5380 | 0.1129                  | {'accuracy': 0.9584375}    | {'f1': 0.9583880858519491}|
| 0.1465        | 4.35  | 5385 | 0.1126                  | {'accuracy': 0.9581875}    | {'f1': 0.9581273080052576}|
| 0.1543        | 4.36  | 5390 | 0.1122                  | {'accuracy': 0.9581875}    | {'f1': 0.9580958346382712}|
| 0.1458        | 4.36  | 5395 | 0.1125                  | {'accuracy': 0.958125}     | {'f1': 0.958104052026013}|
| 0.1039        | 4.37  | 5400 | 0.1121                  | {'accuracy': 0.958}        | {'f1': 0.9579158316633266}|
| 0.1195        | 4.37  | 5405 | 0.1124                  | {'accuracy': 0.958375}     | {'f1': 0.9582811325482335}|
| 0.1296        | 4.37  | 5410 | 0.1127                  | {'accuracy': 0.9583125}    | {'f1': 0.958257713248639}|
| 0.1498        | 4.38  | 5415 | 0.1139                  | {'accuracy': 0.9575}       | {'f1': 0.9575901209928901}|
| 0.1568        | 4.38  | 5420 | 0.1130                  | {'accuracy': 0.9575}       | {'f1': 0.9574893723430858}|
| 0.1549        | 4.39  | 5425 | 0.1125                  | {'accuracy': 0.9575}       | {'f1': 0.9573239613405297}|
| 0.164         | 4.39  | 5430 | 0.1131                  | {'accuracy': 0.957125}     | {'f1': 0.9571035517758879}|
| 0.1454        | 4.39  | 5435 | 0.1131                  | {'accuracy': 0.9568125}    | {'f1': 0.956761153870221}|
| 0.145         | 4.4   | 5440 | 0.1123                  | {'accuracy': 0.958}        | {'f1': 0.9577305321424079}|
| 0.1339        | 4.4   | 5445 | 0.1125                  | {'accuracy': 0.957625}     | {'f1': 0.9575028206092516}|
| 0.1464        | 4.41  | 5450 | 0.1132                  | {'accuracy': 0.9576875}    | {'f1': 0.957642495151098}|
| 0.1401        | 4.41  | 5455 | 0.1131                  | {'accuracy': 0.9579375}    | {'f1': 0.9578400050115894}|
| 0.1341        | 4.41  | 5460 | 0.1136                  | {'accuracy': 0.9579375}    | {'f1': 0.9578663995492392}|
| 0.1269        | 4.42  | 5465 | 0.1130                  | {'accuracy': 0.9583125}    | {'f1': 0.9582158742091085}|
| 0.1384        | 4.42  | 5470 | 0.1120                  | {'accuracy': 0.957875}     | {'f1': 0.9576473545306019}|
| 0.1357        | 4.43  | 5475 | 0.1115                  | {'accuracy': 0.957875}     | {'f1': 0.9576526765518975}|
| 0.1545        | 4.43  | 5480 | 0.1129                  | {'accuracy': 0.9573125}    | {'f1': 0.957410987092349}|
| 0.1268        | 4.43  | 5485 | 0.1120                  | {'accuracy': 0.95775}      | {'f1': 0.957765837810821}|
| 0.1226        | 4.44  | 5490 | 0.1121                  | {'accuracy': 0.9574375}    | {'f1': 0.9574295180346316}|
| 0.1417        | 4.44  | 5495 | 0.1123                  | {'accuracy': 0.957375}     | {'f1': 0.9574228992383568}|
| 0.1283        | 4.45  | 5500 | 0.1124                  | {'accuracy': 0.9573125}    | {'f1': 0.9573790951638066}|
| 0.1737        | 4.45  | 5505 | 0.1117                  | {'accuracy': 0.958125}     | {'f1': 0.958104052026013}|
| 0.1404        | 4.45  | 5510 | 0.1120                  | {'accuracy': 0.9578125}    | {'f1': 0.9578098631164448}|
| 0.1607        | 4.46  | 5515 | 0.1123                  | {'accuracy': 0.9578125}    | {'f1': 0.9577887561753486}|
| 0.1246        | 4.46  | 5520 | 0.1118                  | {'accuracy': 0.958125}     | {'f1': 0.9579145728643215}|
| 0.1466        | 4.47  | 5525 | 0.1117                  | {'accuracy': 0.9584375}    | {'f1': 0.9581997611414923}|
| 0.134         | 4.47  | 5530 | 0.1127                  | {'accuracy': 0.9575625}    | {'f1': 0.9575492341356674}|
| 0.1403        | 4.47  | 5535 | 0.1137                  | {'accuracy': 0.957125}     | {'f1': 0.957237252212941}|
| 0.1514        | 4.48  | 5540 | 0.1122                  | {'accuracy': 0.9579375}    | {'f1': 0.957797704897473}|
| 0.142         | 4.48  | 5545 | 0.1126                  | {'accuracy': 0.957}        | {'f1': 0.9569084304146311}|
| 0.1691        | 4.49  | 5550 | 0.1141                  | {'accuracy': 0.9563125}    | {'f1': 0.9563915403331461}|
| 0.139         | 4.49  | 5555 | 0.1133                  | {'accuracy': 0.95675}      | {'f1': 0.9567067067067068}|
| 0.1427        | 4.49  | 5560 | 0.1133                  | {'accuracy': 0.9573125}    | {'f1': 0.9572403430789458}|
| 0.1294        | 4.5   | 5565 | 0.1141                  | {'accuracy': 0.956}        | {'f1': 0.9560384663419507}|
| 0.1461        | 4.5   | 5570 | 0.1145                  | {'accuracy': 0.9565}       | {'f1': 0.9565705728191688}|
| 0.1336        | 4.51  | 5575 | 0.1146                  | {'accuracy': 0.956625}     | {'f1': 0.9567547357926222}|
| 0.1302        | 4.51  | 5580 | 0.1126                  | {'accuracy': 0.9583125}    | {'f1': 0.9581056466302368}|
| 0.1418        | 4.51  | 5585 | 0.1126                  | {'accuracy': 0.9583125}    | {'f1': 0.9581003831898989}|
| 0.1302        | 4.52  | 5590 | 0.1141                  | {'accuracy': 0.9571875}    | {'f1': 0.9572436177517009}|
| 0.14          | 4.52  | 5595 | 0.1160                  | {'accuracy': 0.956375}     | {'f1': 0.9565812391142076}|
| 0.1232        | 4.53  | 5600 | 0.1140                  | {'accuracy': 0.956875}     | {'f1': 0.9569342154537511}|
| 0.1261        | 4.53  | 5605 | 0.1128                  | {'accuracy': 0.957875}     | {'f1': 0.9578064354576188}|
| 0.143         | 4.53  | 5610 | 0.1134                  | {'accuracy': 0.9575625}    | {'f1': 0.9576022478926006}|
| 0.1412        | 4.54  | 5615 | 0.1130                  | {'accuracy': 0.9574375}    | {'f1': 0.9574348396774798}|
| 0.1586        | 4.54  | 5620 | 0.1121                  | {'accuracy': 0.9580625}    | {'f1': 0.9578491111250708}|
| 0.153         | 4.55  | 5625 | 0.1122                  | {'accuracy': 0.9586875}    | {'f1': 0.9584877221629089}|
| 0.1445        | 4.55  | 5630 | 0.1129                  | {'accuracy': 0.9573125}    | {'f1': 0.9572884747670565}|
| 0.1419        | 4.56  | 5635 | 0.1137                  | {'accuracy': 0.9570625}    | {'f1': 0.9571401834175557}|
| 0.143         | 4.56  | 5640 | 0.1126                  | {'accuracy': 0.9573125}    | {'f1': 0.9571759984952035}|
| 0.1569        | 4.56  | 5645 | 0.1125                  | {'accuracy': 0.95775}      | {'f1': 0.9575323533107175}|
| 0.1236        | 4.57  | 5650 | 0.1127                  | {'accuracy': 0.9573125}    | {'f1': 0.9571383746470034}|
| 0.1509        | 4.57  | 5655 | 0.1127                  | {'accuracy': 0.9573125}    | {'f1': 0.9571813679393142}|
| 0.1465        | 4.58  | 5660 | 0.1128                  | {'accuracy': 0.9579375}    | {'f1': 0.9578663995492392}|
| 0.1393        | 4.58  | 5665 | 0.1130                  | {'accuracy': 0.958375}     | {'f1': 0.9583489681050656}|
| 0.1421        | 4.58  | 5670 | 0.1128                  | {'accuracy': 0.9585}       | {'f1': 0.958448060075094}|
| 0.1634        | 4.59  | 5675 | 0.1131                  | {'accuracy': 0.958375}     | {'f1': 0.9583593847692885}|
| 0.1484        | 4.59  | 5680 | 0.1130                  | {'accuracy': 0.958375}     | {'f1': 0.9583541770885443}|
| 0.1261        | 4.6   | 5685 | 0.1127                  | {'accuracy': 0.9579375}    | {'f1': 0.9578241524096008}|
| 0.151         | 4.6   | 5690 | 0.1134                  | {'accuracy': 0.958}        | {'f1': 0.958}   |
| 0.1558        | 4.6   | 5695 | 0.1130                  | {'accuracy': 0.9578125}    | {'f1': 0.9577517681667398}|
| 0.1423        | 4.61  | 5700 | 0.1130                  | {'accuracy': 0.9575625}    | {'f1': 0.9574960876369327}|
| 0.1461        | 4.61  | 5705 | 0.1143                  | {'accuracy': 0.957375}     | {'f1': 0.9574600798403194}|
| 0.1488        | 4.62  | 5710 | 0.1144                  | {'accuracy': 0.9573125}    | {'f1': 0.95740567508575}|
| 0.1279        | 4.62  | 5715 | 0.1137                  | {'accuracy': 0.957625}     | {'f1': 0.9576144036009001}|
| 0.1575        | 4.62  | 5720 | 0.1131                  | {'accuracy': 0.9578125}    | {'f1': 0.9577041167992981}|
| 0.1811        | 4.63  | 5725 | 0.1129                  | {'accuracy': 0.9576875}    | {'f1': 0.9574989013748508}|
| 0.1353        | 4.63  | 5730 | 0.1129                  | {'accuracy': 0.9574375}    | {'f1': 0.9572585200527207}|
| 0.1326        | 4.64  | 5735 | 0.1132                  | {'accuracy': 0.9575}       | {'f1': 0.9573881438776789}|
| 0.1305        | 4.64  | 5740 | 0.1138                  | {'accuracy': 0.957125}     | {'f1': 0.9571142785696425}|
| 0.126         | 4.64  | 5745 | 0.1142                  | {'accuracy': 0.956875}     | {'f1': 0.956912701386287}|
| 0.1374        | 4.65  | 5750 | 0.1135                  | {'accuracy': 0.957375}     | {'f1': 0.9573163099261485}|
| 0.1465        | 4.65  | 5755 | 0.1126                  | {'accuracy': 0.9581875}    | {'f1': 0.9579747471574848}|
| 0.1671        | 4.66  | 5760 | 0.1124                  | {'accuracy': 0.95825}      | {'f1': 0.9580402010050251}|
| 0.1366        | 4.66  | 5765 | 0.1128                  | {'accuracy': 0.9575625}    | {'f1': 0.9574907656670631}|
| 0.1395        | 4.66  | 5770 | 0.1134                  | {'accuracy': 0.957}        | {'f1': 0.957005374328209}|
| 0.13          | 4.67  | 5775 | 0.1130                  | {'accuracy': 0.956875}     | {'f1': 0.9568048078126956}|
| 0.1374        | 4.67  | 5780 | 0.1126                  | {'accuracy': 0.9575}       | {'f1': 0.957340025094103}|
| 0.1247        | 4.68  | 5785 | 0.1126                  | {'accuracy': 0.9570625}    | {'f1': 0.9568981742894787}|
| 0.1358        | 4.68  | 5790 | 0.1130                  | {'accuracy': 0.957}        | {'f1': 0.9569030318215986}|
| 0.1469        | 4.68  | 5795 | 0.1136                  | {'accuracy': 0.9566875}    | {'f1': 0.9567172568858908}|
| 0.1506        | 4.69  | 5800 | 0.1139                  | {'accuracy': 0.956875}     | {'f1': 0.9569449644327968}|
| 0.1608        | 4.69  | 5805 | 0.1130                  | {'accuracy': 0.957}        | {'f1': 0.9569300112683109}|
| 0.1669        | 4.7   | 5810 | 0.1125                  | {'accuracy': 0.9575625}    | {'f1': 0.9573786956248822}|
| 0.1364        | 4.7   | 5815 | 0.1126                  | {'accuracy': 0.9576875}    | {'f1': 0.9575202359289704}|
| 0.1355        | 4.7   | 5820 | 0.1127                  | {'accuracy': 0.957875}     | {'f1': 0.9577058232931726}|
| 0.1489        | 4.71  | 5825 | 0.1127                  | {'accuracy': 0.9578125}    | {'f1': 0.9576935130053276}|
| 0.1344        | 4.71  | 5830 | 0.1129                  | {'accuracy': 0.957625}     | {'f1': 0.9575984990619136}|
| 0.1259        | 4.72  | 5835 | 0.1131                  | {'accuracy': 0.957375}     | {'f1': 0.9573483427141963}|
| 0.1599        | 4.72  | 5840 | 0.1130                  | {'accuracy': 0.9575625}    | {'f1': 0.9574907656670631}|
| 0.1733        | 4.72  | 5845 | 0.1125                  | {'accuracy': 0.957875}     | {'f1': 0.957711130631196}|
| 0.1773        | 4.73  | 5850 | 0.1119                  | {'accuracy': 0.9583125}    | {'f1': 0.9580001259366538}|
| 0.1414        | 4.73  | 5855 | 0.1119                  | {'accuracy': 0.958125}     | {'f1': 0.9578722334004024}|
| 0.1583        | 4.74  | 5860 | 0.1122                  | {'accuracy': 0.958}        | {'f1': 0.9578630549285176}|
| 0.1604        | 4.74  | 5865 | 0.1124                  | {'accuracy': 0.9578125}    | {'f1': 0.9577306030433965}|
| 0.1328        | 4.75  | 5870 | 0.1123                  | {'accuracy': 0.9578125}    | {'f1': 0.9577200125274036}|
| 0.1346        | 4.75  | 5875 | 0.1125                  | {'accuracy': 0.9578125}    | {'f1': 0.9577676281048613}|
| 0.1449        | 4.75  | 5880 | 0.1125                  | {'accuracy': 0.958125}     | {'f1': 0.9580673425960697}|
| 0.1808        | 4.76  | 5885 | 0.1121                  | {'accuracy': 0.9578125}    | {'f1': 0.9576829038931729}|
| 0.1364        | 4.76  | 5890 | 0.1119                  | {'accuracy': 0.95775}      | {'f1': 0.9575749968620559}|
| 0.1116        | 4.77  | 5895 | 0.1120                  | {'accuracy': 0.95825}      | {'f1': 0.9580770679051086}|
| 0.149         | 4.77  | 5900 | 0.1119                  | {'accuracy': 0.9581875}    | {'f1': 0.958032745749953}|
| 0.1213        | 4.77  | 5905 | 0.1122                  | {'accuracy': 0.9578125}    | {'f1': 0.9577147152790828}|
| 0.166         | 4.78  | 5910 | 0.1122                  | {'accuracy': 0.9578125}    | {'f1': 0.9576829038931729}|
| 0.1688        | 4.78  | 5915 | 0.1124                  | {'accuracy': 0.95775}      | {'f1': 0.9576494173662448}|
| 0.142         | 4.79  | 5920 | 0.1124                  | {'accuracy': 0.957375}     | {'f1': 0.9573109664496746}|
| 0.1616        | 4.79  | 5925 | 0.1121                  | {'accuracy': 0.9575625}    | {'f1': 0.9574428078972109}|
| 0.1568        | 4.79  | 5930 | 0.1120                  | {'accuracy': 0.9576875}    | {'f1': 0.9575681604512691}|
| 0.1548        | 4.8   | 5935 | 0.1123                  | {'accuracy': 0.9581875}    | {'f1': 0.9581168221373568}|
| 0.1382        | 4.8   | 5940 | 0.1123                  | {'accuracy': 0.9580625}    | {'f1': 0.958002128059085}|
| 0.1544        | 4.81  | 5945 | 0.1125                  | {'accuracy': 0.9578125}    | {'f1': 0.9577570561361788}|
| 0.1495        | 4.81  | 5950 | 0.1127                  | {'accuracy': 0.957625}     | {'f1': 0.9576038019009505}|
| 0.1828        | 4.81  | 5955 | 0.1124                  | {'accuracy': 0.9575625}    | {'f1': 0.9574907656670631}|
| 0.1582        | 4.82  | 5960 | 0.1119                  | {'accuracy': 0.9578125}    | {'f1': 0.9576935130053276}|
| 0.1742        | 4.82  | 5965 | 0.1119                  | {'accuracy': 0.9576875}    | {'f1': 0.9575308951759612}|
| 0.1525        | 4.83  | 5970 | 0.1122                  | {'accuracy': 0.9578125}    | {'f1': 0.9577517681667398}|
| 0.1507        | 4.83  | 5975 | 0.1126                  | {'accuracy': 0.957625}     | {'f1': 0.957625}|
| 0.1547        | 4.83  | 5980 | 0.1124                  | {'accuracy': 0.9579375}    | {'f1': 0.9579085621364687}|
| 0.1535        | 4.84  | 5985 | 0.1120                  | {'accuracy': 0.9580625}    | {'f1': 0.957981088358695}|
| 0.1532        | 4.84  | 5990 | 0.1121                  | {'accuracy': 0.958}        | {'f1': 0.9579263711495116}|
| 0.1431        | 4.85  | 5995 | 0.1122                  | {'accuracy': 0.95775}      | {'f1': 0.9576759328825445}|
| 0.1457        | 4.85  | 6000 | 0.1124                  | {'accuracy': 0.9575625}    | {'f1': 0.9575279914930882}|
| 0.1198        | 4.85  | 6005 | 0.1125                  | {'accuracy': 0.9576875}    | {'f1': 0.9576795649184222}|
| 0.1285        | 4.86  | 6010 | 0.1125                  | {'accuracy': 0.9575625}    | {'f1': 0.9575333041466008}|
| 0.1461        | 4.86  | 6015 | 0.1123                  | {'accuracy': 0.9575}       | {'f1': 0.9574574574574576}|
| 0.1469        | 4.87  | 6020 | 0.1120                  | {'accuracy': 0.9576875}    | {'f1': 0.957600050103338}|
| 0.1498        | 4.87  | 6025 | 0.1118                  | {'accuracy': 0.9581875}    | {'f1': 0.9580537964762681}|
| 0.1446        | 4.87  | 6030 | 0.1117                  | {'accuracy': 0.958}        | {'f1': 0.9578630549285176}|
| 0.1548        | 4.88  | 6035 | 0.1117                  | {'accuracy': 0.9580625}    | {'f1': 0.9579283967646876}|
| 0.1316        | 4.88  | 6040 | 0.1118                  | {'accuracy': 0.9578125}    | {'f1': 0.9576935130053276}|
| 0.1355        | 4.89  | 6045 | 0.1120                  | {'accuracy': 0.9578125}    | {'f1': 0.9577094167032142}|
| 0.1482        | 4.89  | 6050 | 0.1118                  | {'accuracy': 0.9580625}    | {'f1': 0.9579283967646876}|
| 0.1527        | 4.89  | 6055 | 0.1118                  | {'accuracy': 0.9581875}    | {'f1': 0.9580485357747538}|
| 0.1462        | 4.9   | 6060 | 0.1118                  | {'accuracy': 0.958125}     | {'f1': 0.957983193277311}|
| 0.1487        | 4.9   | 6065 | 0.1118                  | {'accuracy': 0.9585625}    | {'f1': 0.9584247820906754}|
| 0.1294        | 4.91  | 6070 | 0.1117                  | {'accuracy': 0.958625}     | {'f1': 0.958453621187398}|
| 0.1134        | 4.91  | 6075 | 0.1118                  | {'accuracy': 0.958375}     | {'f1': 0.9582235604064735}|
| 0.1507        | 4.91  | 6080 | 0.1119                  | {'accuracy': 0.9585}       | {'f1': 0.9583594631882604}|
| 0.1461        | 4.92  | 6085 | 0.1120                  | {'accuracy': 0.9585625}    | {'f1': 0.9584247820906754}|
| 0.1421        | 4.92  | 6090 | 0.1119                  | {'accuracy': 0.958625}     | {'f1': 0.9584900928016051}|
| 0.143         | 4.93  | 6095 | 0.1119                  | {'accuracy': 0.9585}       | {'f1': 0.958354239839438}|
| 0.1556        | 4.93  | 6100 | 0.1119                  | {'accuracy': 0.95875}      | {'f1': 0.9586155003762228}|
| 0.1407        | 4.93  | 6105 | 0.1120                  | {'accuracy': 0.958625}     | {'f1': 0.9585057038987088}|
| 0.1494        | 4.94  | 6110 | 0.1122                  | {'accuracy': 0.9585625}    | {'f1': 0.9584820589892917}|
| 0.1254        | 4.94  | 6115 | 0.1123                  | {'accuracy': 0.9584375}    | {'f1': 0.9583776678976028}|
| 0.1416        | 4.95  | 6120 | 0.1123                  | {'accuracy': 0.9581875}    | {'f1': 0.9581325489705238}|
| 0.135         | 4.95  | 6125 | 0.1123                  | {'accuracy': 0.958375}     | {'f1': 0.9583176868193766}|
| 0.1602        | 4.96  | 6130 | 0.1123                  | {'accuracy': 0.95825}      | {'f1': 0.9582029783506445}|
| 0.1571        | 4.96  | 6135 | 0.1123                  | {'accuracy': 0.958375}     | {'f1': 0.9583176868193766}|
| 0.1364        | 4.96  | 6140 | 0.1122                  | {'accuracy': 0.9581875}    | {'f1': 0.9581115772337362}|
| 0.1537        | 4.97  | 6145 | 0.1121                  | {'accuracy': 0.9580625}    | {'f1': 0.957981088358695}|
| 0.1252        | 4.97  | 6150 | 0.1121                  | {'accuracy': 0.9581875}    | {'f1': 0.9580958346382712}|
| 0.1438        | 4.98  | 6155 | 0.1121                  | {'accuracy': 0.95825}      | {'f1': 0.9581768094164789}|
| 0.1348        | 4.98  | 6160 | 0.1121                  | {'accuracy': 0.9584375}    | {'f1': 0.9583463827121829}|
| 0.1285        | 4.98  | 6165 | 0.1120                  | {'accuracy': 0.958375}     | {'f1': 0.9582759052750283}|
| 0.1481        | 4.99  | 6170 | 0.1120                  | {'accuracy': 0.9584375}    | {'f1': 0.9583359438631665}|
| 0.135         | 4.99  | 6175 | 0.1120                  | {'accuracy': 0.9585}       | {'f1': 0.9583959899749374}|
| 0.1704        | 5.0   | 6180 | 0.1120                  | {'accuracy': 0.9583125}    | {'f1': 0.9582158742091085}|
| 0.1336        | 5.0   | 6185 | 0.1120                  | {'accuracy': 0.958625}     | {'f1': 0.9585161047750345}|


### Framework versions

- Transformers 4.36.1
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "roberta-base", "model-index": [{"name": "model", "results": []}]}
transformers safetensors roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us