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# bert-base-cased-qqp

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the GLUE QQP dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2437
- Accuracy: 0.8981
- F1: 0.8617
- Combined Score: 0.8799

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Accuracy | F1     | Combined Score |
|:-------------:|:-----:|:------:|:---------------:|:--------:|:------:|:--------------:|
| 0.7007        | 0.02  | 500    | 0.6597          | 0.6318   | 0.0    | 0.3159         |
| 0.5828        | 0.04  | 1000   | 0.5143          | 0.7203   | 0.6773 | 0.6988         |
| 0.4982        | 0.07  | 1500   | 0.4520          | 0.7737   | 0.7212 | 0.7474         |
| 0.4561        | 0.09  | 2000   | 0.4235          | 0.7947   | 0.7503 | 0.7725         |
| 0.4404        | 0.11  | 2500   | 0.4087          | 0.8047   | 0.7656 | 0.7851         |
| 0.4167        | 0.13  | 3000   | 0.3833          | 0.8203   | 0.7744 | 0.7974         |
| 0.4068        | 0.15  | 3500   | 0.3952          | 0.8120   | 0.7781 | 0.7951         |
| 0.3925        | 0.18  | 4000   | 0.3661          | 0.8298   | 0.7918 | 0.8108         |
| 0.386         | 0.2   | 4500   | 0.3543          | 0.8371   | 0.7983 | 0.8177         |
| 0.368         | 0.22  | 5000   | 0.3411          | 0.8457   | 0.7932 | 0.8194         |
| 0.3614        | 0.24  | 5500   | 0.3342          | 0.8506   | 0.8047 | 0.8276         |
| 0.3618        | 0.26  | 6000   | 0.3287          | 0.8527   | 0.8076 | 0.8301         |
| 0.3504        | 0.29  | 6500   | 0.3386          | 0.8481   | 0.8081 | 0.8281         |
| 0.3562        | 0.31  | 7000   | 0.3232          | 0.8576   | 0.8158 | 0.8367         |
| 0.3417        | 0.33  | 7500   | 0.3364          | 0.8589   | 0.8097 | 0.8343         |
| 0.342         | 0.35  | 8000   | 0.3208          | 0.8618   | 0.8100 | 0.8359         |
| 0.3399        | 0.37  | 8500   | 0.3242          | 0.8587   | 0.8185 | 0.8386         |
| 0.345         | 0.4   | 9000   | 0.3111          | 0.8631   | 0.8159 | 0.8395         |
| 0.3258        | 0.42  | 9500   | 0.3327          | 0.8588   | 0.8246 | 0.8417         |
| 0.3305        | 0.44  | 10000  | 0.3285          | 0.8623   | 0.8174 | 0.8399         |
| 0.3351        | 0.46  | 10500  | 0.3157          | 0.8667   | 0.8186 | 0.8426         |
| 0.3132        | 0.48  | 11000  | 0.2976          | 0.8680   | 0.8214 | 0.8447         |
| 0.3214        | 0.51  | 11500  | 0.3048          | 0.8672   | 0.8236 | 0.8454         |
| 0.3175        | 0.53  | 12000  | 0.3184          | 0.8710   | 0.8227 | 0.8468         |
| 0.316         | 0.55  | 12500  | 0.3084          | 0.8647   | 0.8299 | 0.8473         |
| 0.3178        | 0.57  | 13000  | 0.3053          | 0.8663   | 0.8152 | 0.8407         |
| 0.3009        | 0.59  | 13500  | 0.3168          | 0.8710   | 0.8321 | 0.8515         |
| 0.3091        | 0.62  | 14000  | 0.3101          | 0.8683   | 0.8224 | 0.8454         |
| 0.3102        | 0.64  | 14500  | 0.2936          | 0.8720   | 0.8306 | 0.8513         |
| 0.3007        | 0.66  | 15000  | 0.2953          | 0.8752   | 0.8371 | 0.8561         |
| 0.3123        | 0.68  | 15500  | 0.2992          | 0.8770   | 0.8389 | 0.8580         |
| 0.3212        | 0.7   | 16000  | 0.2852          | 0.8772   | 0.8335 | 0.8553         |
| 0.2954        | 0.73  | 16500  | 0.2874          | 0.8736   | 0.8288 | 0.8512         |
| 0.3097        | 0.75  | 17000  | 0.2833          | 0.8791   | 0.8358 | 0.8574         |
| 0.3013        | 0.77  | 17500  | 0.2893          | 0.8776   | 0.8333 | 0.8555         |
| 0.2982        | 0.79  | 18000  | 0.2843          | 0.8805   | 0.8383 | 0.8594         |
| 0.3019        | 0.81  | 18500  | 0.2817          | 0.8787   | 0.8319 | 0.8553         |
| 0.2922        | 0.84  | 19000  | 0.3019          | 0.8767   | 0.8257 | 0.8512         |
| 0.2939        | 0.86  | 19500  | 0.2806          | 0.8803   | 0.8412 | 0.8607         |
| 0.295         | 0.88  | 20000  | 0.2755          | 0.8821   | 0.8486 | 0.8654         |
| 0.2783        | 0.9   | 20500  | 0.2769          | 0.8807   | 0.8412 | 0.8609         |
| 0.2855        | 0.92  | 21000  | 0.2842          | 0.8802   | 0.8334 | 0.8568         |
| 0.2928        | 0.95  | 21500  | 0.2772          | 0.8814   | 0.8331 | 0.8573         |
| 0.2784        | 0.97  | 22000  | 0.2736          | 0.8860   | 0.8486 | 0.8673         |
| 0.2754        | 0.99  | 22500  | 0.2718          | 0.8879   | 0.8530 | 0.8705         |
| 0.2501        | 1.01  | 23000  | 0.3087          | 0.8866   | 0.8458 | 0.8662         |
| 0.2355        | 1.03  | 23500  | 0.2928          | 0.8847   | 0.8515 | 0.8681         |
| 0.2345        | 1.06  | 24000  | 0.2930          | 0.8820   | 0.8489 | 0.8655         |
| 0.2332        | 1.08  | 24500  | 0.2961          | 0.8844   | 0.8442 | 0.8643         |
| 0.2273        | 1.1   | 25000  | 0.2925          | 0.8883   | 0.8476 | 0.8680         |
| 0.2345        | 1.12  | 25500  | 0.2825          | 0.8874   | 0.8496 | 0.8685         |
| 0.2277        | 1.14  | 26000  | 0.2796          | 0.8870   | 0.8509 | 0.8690         |
| 0.2325        | 1.17  | 26500  | 0.2864          | 0.8882   | 0.8488 | 0.8685         |
| 0.2362        | 1.19  | 27000  | 0.3052          | 0.8838   | 0.8514 | 0.8676         |
| 0.2357        | 1.21  | 27500  | 0.2791          | 0.8879   | 0.8538 | 0.8708         |
| 0.2421        | 1.23  | 28000  | 0.2997          | 0.8880   | 0.8456 | 0.8668         |
| 0.231         | 1.25  | 28500  | 0.2975          | 0.8884   | 0.8544 | 0.8714         |
| 0.2301        | 1.28  | 29000  | 0.2936          | 0.8879   | 0.8418 | 0.8648         |
| 0.2277        | 1.3   | 29500  | 0.3245          | 0.8889   | 0.8467 | 0.8678         |
| 0.2324        | 1.32  | 30000  | 0.2701          | 0.8924   | 0.8558 | 0.8741         |
| 0.2336        | 1.34  | 30500  | 0.2840          | 0.8905   | 0.8555 | 0.8730         |
| 0.2417        | 1.36  | 31000  | 0.2659          | 0.8924   | 0.8547 | 0.8736         |
| 0.2488        | 1.39  | 31500  | 0.2622          | 0.8924   | 0.8592 | 0.8758         |
| 0.227         | 1.41  | 32000  | 0.2874          | 0.8934   | 0.8552 | 0.8743         |
| 0.2358        | 1.43  | 32500  | 0.2602          | 0.8884   | 0.8575 | 0.8730         |
| 0.2222        | 1.45  | 33000  | 0.2632          | 0.8928   | 0.8612 | 0.8770         |
| 0.2387        | 1.47  | 33500  | 0.2623          | 0.8944   | 0.8603 | 0.8773         |
| 0.2286        | 1.5   | 34000  | 0.2675          | 0.8936   | 0.8559 | 0.8748         |
| 0.2432        | 1.52  | 34500  | 0.2663          | 0.8945   | 0.8577 | 0.8761         |
| 0.2395        | 1.54  | 35000  | 0.2650          | 0.8956   | 0.8599 | 0.8778         |
| 0.239         | 1.56  | 35500  | 0.2570          | 0.8948   | 0.8571 | 0.8759         |
| 0.2277        | 1.58  | 36000  | 0.2759          | 0.8961   | 0.8571 | 0.8766         |
| 0.2397        | 1.61  | 36500  | 0.2787          | 0.8910   | 0.8584 | 0.8747         |
| 0.2331        | 1.63  | 37000  | 0.2494          | 0.8966   | 0.8607 | 0.8787         |
| 0.2369        | 1.65  | 37500  | 0.2545          | 0.8967   | 0.8590 | 0.8779         |
| 0.2327        | 1.67  | 38000  | 0.2791          | 0.8967   | 0.8580 | 0.8773         |
| 0.2342        | 1.69  | 38500  | 0.2634          | 0.8953   | 0.8612 | 0.8782         |
| 0.2251        | 1.71  | 39000  | 0.2846          | 0.8948   | 0.8589 | 0.8769         |
| 0.2278        | 1.74  | 39500  | 0.2616          | 0.8953   | 0.8641 | 0.8797         |
| 0.231         | 1.76  | 40000  | 0.2738          | 0.8982   | 0.8639 | 0.8811         |
| 0.2342        | 1.78  | 40500  | 0.2710          | 0.8961   | 0.8619 | 0.8790         |
| 0.2326        | 1.8   | 41000  | 0.2576          | 0.8969   | 0.8635 | 0.8802         |
| 0.2398        | 1.82  | 41500  | 0.2683          | 0.8959   | 0.8564 | 0.8762         |
| 0.2279        | 1.85  | 42000  | 0.2756          | 0.8972   | 0.8596 | 0.8784         |
| 0.2243        | 1.87  | 42500  | 0.2706          | 0.8967   | 0.8651 | 0.8809         |
| 0.2324        | 1.89  | 43000  | 0.2511          | 0.9001   | 0.8656 | 0.8828         |
| 0.2252        | 1.91  | 43500  | 0.2674          | 0.8992   | 0.8615 | 0.8804         |
| 0.2329        | 1.93  | 44000  | 0.2553          | 0.8971   | 0.8589 | 0.8780         |
| 0.2262        | 1.96  | 44500  | 0.2437          | 0.8981   | 0.8617 | 0.8799         |
| 0.2231        | 1.98  | 45000  | 0.2764          | 0.8978   | 0.8660 | 0.8819         |
| 0.2157        | 2.0   | 45500  | 0.2643          | 0.8997   | 0.8674 | 0.8835         |
| 0.1727        | 2.02  | 46000  | 0.2959          | 0.8998   | 0.8656 | 0.8827         |
| 0.1611        | 2.04  | 46500  | 0.3165          | 0.8986   | 0.8619 | 0.8803         |
| 0.1684        | 2.07  | 47000  | 0.3056          | 0.8959   | 0.8576 | 0.8767         |
| 0.1636        | 2.09  | 47500  | 0.3613          | 0.8954   | 0.8629 | 0.8792         |
| 0.1682        | 2.11  | 48000  | 0.3194          | 0.8968   | 0.8642 | 0.8805         |
| 0.1569        | 2.13  | 48500  | 0.3575          | 0.8976   | 0.8618 | 0.8797         |
| 0.1721        | 2.15  | 49000  | 0.3092          | 0.8983   | 0.8671 | 0.8827         |
| 0.1629        | 2.18  | 49500  | 0.3172          | 0.9003   | 0.8643 | 0.8823         |
| 0.1646        | 2.2   | 50000  | 0.3353          | 0.9006   | 0.8657 | 0.8831         |
| 0.1786        | 2.22  | 50500  | 0.2949          | 0.8995   | 0.8606 | 0.8801         |
| 0.1706        | 2.24  | 51000  | 0.3419          | 0.9016   | 0.8712 | 0.8864         |
| 0.1842        | 2.26  | 51500  | 0.3208          | 0.9004   | 0.8666 | 0.8835         |
| 0.178         | 2.29  | 52000  | 0.3150          | 0.8987   | 0.8598 | 0.8793         |
| 0.179         | 2.31  | 52500  | 0.3169          | 0.9018   | 0.8677 | 0.8847         |
| 0.1792        | 2.33  | 53000  | 0.3413          | 0.9022   | 0.8684 | 0.8853         |
| 0.1769        | 2.35  | 53500  | 0.2934          | 0.9027   | 0.8685 | 0.8856         |
| 0.1781        | 2.37  | 54000  | 0.2765          | 0.9009   | 0.8697 | 0.8853         |
| 0.1749        | 2.4   | 54500  | 0.3205          | 0.8988   | 0.8586 | 0.8787         |
| 0.174         | 2.42  | 55000  | 0.3307          | 0.9020   | 0.8687 | 0.8854         |
| 0.1715        | 2.44  | 55500  | 0.3030          | 0.9024   | 0.8696 | 0.8860         |
| 0.1799        | 2.46  | 56000  | 0.3578          | 0.9019   | 0.8674 | 0.8847         |
| 0.1792        | 2.48  | 56500  | 0.3107          | 0.8998   | 0.8632 | 0.8815         |
| 0.1839        | 2.51  | 57000  | 0.3374          | 0.9005   | 0.8644 | 0.8824         |
| 0.1753        | 2.53  | 57500  | 0.3404          | 0.8984   | 0.8654 | 0.8819         |
| 0.1742        | 2.55  | 58000  | 0.3057          | 0.8999   | 0.8638 | 0.8818         |
| 0.1796        | 2.57  | 58500  | 0.3152          | 0.9000   | 0.8654 | 0.8827         |
| 0.1788        | 2.59  | 59000  | 0.3127          | 0.9023   | 0.8691 | 0.8857         |
| 0.1762        | 2.62  | 59500  | 0.2956          | 0.9007   | 0.8635 | 0.8821         |
| 0.1769        | 2.64  | 60000  | 0.3414          | 0.9019   | 0.8666 | 0.8843         |
| 0.1819        | 2.66  | 60500  | 0.3151          | 0.8989   | 0.8585 | 0.8787         |
| 0.1795        | 2.68  | 61000  | 0.3216          | 0.9009   | 0.8691 | 0.8850         |
| 0.1764        | 2.7   | 61500  | 0.3404          | 0.8987   | 0.8576 | 0.8781         |
| 0.1747        | 2.73  | 62000  | 0.3306          | 0.8998   | 0.8693 | 0.8846         |
| 0.1765        | 2.75  | 62500  | 0.3476          | 0.8988   | 0.8601 | 0.8794         |
| 0.1744        | 2.77  | 63000  | 0.3414          | 0.8997   | 0.8608 | 0.8802         |
| 0.177         | 2.79  | 63500  | 0.3490          | 0.9002   | 0.8609 | 0.8806         |
| 0.1887        | 2.81  | 64000  | 0.3521          | 0.9021   | 0.8679 | 0.8850         |
| 0.1857        | 2.84  | 64500  | 0.2885          | 0.9011   | 0.8644 | 0.8828         |
| 0.1911        | 2.86  | 65000  | 0.3103          | 0.8975   | 0.8568 | 0.8772         |
| 0.176         | 2.88  | 65500  | 0.3385          | 0.9008   | 0.8638 | 0.8823         |
| 0.1858        | 2.9   | 66000  | 0.2961          | 0.9035   | 0.8704 | 0.8869         |
| 0.1836        | 2.92  | 66500  | 0.3345          | 0.9045   | 0.8706 | 0.8875         |
| 0.1932        | 2.95  | 67000  | 0.3239          | 0.8984   | 0.8578 | 0.8781         |
| 0.1749        | 2.97  | 67500  | 0.3059          | 0.9052   | 0.8732 | 0.8892         |
| 0.177         | 2.99  | 68000  | 0.3483          | 0.9025   | 0.8705 | 0.8865         |
| 0.1395        | 3.01  | 68500  | 0.4398          | 0.9030   | 0.8664 | 0.8847         |
| 0.1262        | 3.03  | 69000  | 0.4231          | 0.9035   | 0.8704 | 0.8869         |
| 0.1293        | 3.06  | 69500  | 0.4386          | 0.9033   | 0.8682 | 0.8858         |
| 0.1268        | 3.08  | 70000  | 0.3911          | 0.9022   | 0.8687 | 0.8854         |
| 0.1247        | 3.1   | 70500  | 0.4208          | 0.9000   | 0.8665 | 0.8833         |
| 0.127         | 3.12  | 71000  | 0.4056          | 0.9027   | 0.8691 | 0.8859         |
| 0.1307        | 3.14  | 71500  | 0.3609          | 0.9039   | 0.8693 | 0.8866         |
| 0.1274        | 3.17  | 72000  | 0.4376          | 0.9016   | 0.8650 | 0.8833         |
| 0.1239        | 3.19  | 72500  | 0.4133          | 0.9032   | 0.8715 | 0.8874         |
| 0.1358        | 3.21  | 73000  | 0.3437          | 0.9032   | 0.8688 | 0.8860         |
| 0.1369        | 3.23  | 73500  | 0.3567          | 0.9041   | 0.8721 | 0.8881         |
| 0.1289        | 3.25  | 74000  | 0.3852          | 0.9034   | 0.8697 | 0.8866         |
| 0.1335        | 3.28  | 74500  | 0.3929          | 0.9005   | 0.8623 | 0.8814         |
| 0.132         | 3.3   | 75000  | 0.4088          | 0.9017   | 0.8678 | 0.8848         |
| 0.1331        | 3.32  | 75500  | 0.3710          | 0.9022   | 0.8700 | 0.8861         |
| 0.1204        | 3.34  | 76000  | 0.4171          | 0.9031   | 0.8705 | 0.8868         |
| 0.1408        | 3.36  | 76500  | 0.4024          | 0.9012   | 0.8665 | 0.8838         |
| 0.1408        | 3.39  | 77000  | 0.3998          | 0.9010   | 0.8657 | 0.8834         |
| 0.1385        | 3.41  | 77500  | 0.4128          | 0.9022   | 0.8687 | 0.8854         |
| 0.1326        | 3.43  | 78000  | 0.3951          | 0.9012   | 0.8688 | 0.8850         |
| 0.1332        | 3.45  | 78500  | 0.4627          | 0.9023   | 0.8661 | 0.8842         |
| 0.1315        | 3.47  | 79000  | 0.4384          | 0.9013   | 0.8643 | 0.8828         |
| 0.1423        | 3.5   | 79500  | 0.3847          | 0.9026   | 0.8700 | 0.8863         |
| 0.1403        | 3.52  | 80000  | 0.3863          | 0.9014   | 0.8685 | 0.8850         |
| 0.1288        | 3.54  | 80500  | 0.4230          | 0.9022   | 0.8697 | 0.8859         |
| 0.1453        | 3.56  | 81000  | 0.3966          | 0.9016   | 0.8672 | 0.8844         |
| 0.1489        | 3.58  | 81500  | 0.4149          | 0.9022   | 0.8674 | 0.8848         |
| 0.1493        | 3.61  | 82000  | 0.4006          | 0.9020   | 0.8643 | 0.8831         |
| 0.1379        | 3.63  | 82500  | 0.4034          | 0.9022   | 0.8646 | 0.8834         |
| 0.1421        | 3.65  | 83000  | 0.4266          | 0.9002   | 0.8628 | 0.8815         |
| 0.1332        | 3.67  | 83500  | 0.4129          | 0.9046   | 0.8701 | 0.8873         |
| 0.1378        | 3.69  | 84000  | 0.3987          | 0.9025   | 0.8694 | 0.8860         |
| 0.1416        | 3.72  | 84500  | 0.3867          | 0.9027   | 0.8710 | 0.8868         |
| 0.1352        | 3.74  | 85000  | 0.4001          | 0.9021   | 0.8673 | 0.8847         |
| 0.1461        | 3.76  | 85500  | 0.4248          | 0.9023   | 0.8654 | 0.8839         |
| 0.146         | 3.78  | 86000  | 0.3824          | 0.9032   | 0.8659 | 0.8845         |
| 0.1425        | 3.8   | 86500  | 0.3740          | 0.9040   | 0.8698 | 0.8869         |
| 0.1259        | 3.83  | 87000  | 0.4084          | 0.9045   | 0.8725 | 0.8885         |
| 0.1469        | 3.85  | 87500  | 0.3651          | 0.9047   | 0.8707 | 0.8877         |
| 0.1577        | 3.87  | 88000  | 0.3611          | 0.9035   | 0.8695 | 0.8865         |
| 0.1419        | 3.89  | 88500  | 0.3811          | 0.9037   | 0.8724 | 0.8880         |
| 0.1398        | 3.91  | 89000  | 0.3814          | 0.9055   | 0.8734 | 0.8895         |
| 0.1497        | 3.94  | 89500  | 0.3778          | 0.9057   | 0.8732 | 0.8895         |
| 0.1305        | 3.96  | 90000  | 0.3908          | 0.9057   | 0.8725 | 0.8891         |
| 0.1504        | 3.98  | 90500  | 0.3317          | 0.9073   | 0.8744 | 0.8909         |
| 0.1332        | 4.0   | 91000  | 0.4685          | 0.9047   | 0.8693 | 0.8870         |
| 0.0922        | 4.02  | 91500  | 0.4765          | 0.9056   | 0.8724 | 0.8890         |
| 0.0908        | 4.05  | 92000  | 0.4642          | 0.9034   | 0.8661 | 0.8848         |
| 0.0952        | 4.07  | 92500  | 0.4347          | 0.9064   | 0.8733 | 0.8899         |
| 0.099         | 4.09  | 93000  | 0.4595          | 0.9062   | 0.8722 | 0.8892         |
| 0.0929        | 4.11  | 93500  | 0.4431          | 0.9062   | 0.8742 | 0.8902         |
| 0.0941        | 4.13  | 94000  | 0.4654          | 0.9047   | 0.8731 | 0.8889         |
| 0.0954        | 4.16  | 94500  | 0.4717          | 0.9032   | 0.8733 | 0.8883         |
| 0.0972        | 4.18  | 95000  | 0.4603          | 0.9034   | 0.8720 | 0.8877         |
| 0.1025        | 4.2   | 95500  | 0.3922          | 0.9068   | 0.8743 | 0.8905         |
| 0.0937        | 4.22  | 96000  | 0.4478          | 0.9053   | 0.8710 | 0.8881         |
| 0.0972        | 4.24  | 96500  | 0.4235          | 0.9057   | 0.8712 | 0.8885         |
| 0.0937        | 4.27  | 97000  | 0.4884          | 0.9037   | 0.8704 | 0.8870         |
| 0.1001        | 4.29  | 97500  | 0.4500          | 0.9047   | 0.8696 | 0.8871         |
| 0.1018        | 4.31  | 98000  | 0.4644          | 0.9028   | 0.8660 | 0.8844         |
| 0.0913        | 4.33  | 98500  | 0.4522          | 0.9051   | 0.8707 | 0.8879         |
| 0.0981        | 4.35  | 99000  | 0.4726          | 0.9052   | 0.8686 | 0.8869         |
| 0.085         | 4.38  | 99500  | 0.4597          | 0.9035   | 0.8684 | 0.8859         |
| 0.1065        | 4.4   | 100000 | 0.4431          | 0.9057   | 0.8734 | 0.8895         |
| 0.1006        | 4.42  | 100500 | 0.4374          | 0.9031   | 0.8728 | 0.8880         |
| 0.1037        | 4.44  | 101000 | 0.4535          | 0.9039   | 0.8723 | 0.8881         |
| 0.0995        | 4.46  | 101500 | 0.4398          | 0.9056   | 0.8719 | 0.8887         |
| 0.1078        | 4.49  | 102000 | 0.4502          | 0.9050   | 0.8723 | 0.8886         |
| 0.0984        | 4.51  | 102500 | 0.4735          | 0.9049   | 0.8712 | 0.8880         |
| 0.1138        | 4.53  | 103000 | 0.4431          | 0.9039   | 0.8714 | 0.8876         |
| 0.1005        | 4.55  | 103500 | 0.3929          | 0.9059   | 0.8723 | 0.8891         |
| 0.1139        | 4.57  | 104000 | 0.3960          | 0.9038   | 0.8680 | 0.8859         |
| 0.1112        | 4.6   | 104500 | 0.4444          | 0.9045   | 0.8717 | 0.8881         |
| 0.1           | 4.62  | 105000 | 0.4609          | 0.9047   | 0.8721 | 0.8884         |
| 0.1042        | 4.64  | 105500 | 0.4383          | 0.9050   | 0.8714 | 0.8882         |
| 0.1034        | 4.66  | 106000 | 0.5000          | 0.9066   | 0.8756 | 0.8911         |
| 0.1117        | 4.68  | 106500 | 0.4220          | 0.9058   | 0.8723 | 0.8890         |
| 0.1078        | 4.71  | 107000 | 0.4346          | 0.9055   | 0.8731 | 0.8893         |
| 0.1198        | 4.73  | 107500 | 0.4109          | 0.9051   | 0.8719 | 0.8885         |
| 0.1018        | 4.75  | 108000 | 0.4731          | 0.9063   | 0.8718 | 0.8890         |
| 0.1004        | 4.77  | 108500 | 0.4840          | 0.9043   | 0.8741 | 0.8892         |
| 0.117         | 4.79  | 109000 | 0.4300          | 0.9056   | 0.8735 | 0.8896         |
| 0.1003        | 4.82  | 109500 | 0.4362          | 0.9072   | 0.8735 | 0.8903         |
| 0.1129        | 4.84  | 110000 | 0.4290          | 0.9059   | 0.8758 | 0.8908         |
| 0.1028        | 4.86  | 110500 | 0.4952          | 0.9080   | 0.8755 | 0.8918         |
| 0.1159        | 4.88  | 111000 | 0.4536          | 0.9061   | 0.8731 | 0.8896         |
| 0.1007        | 4.9   | 111500 | 0.4431          | 0.9046   | 0.8694 | 0.8870         |
| 0.1033        | 4.93  | 112000 | 0.4455          | 0.9067   | 0.8767 | 0.8917         |
| 0.1011        | 4.95  | 112500 | 0.4444          | 0.9056   | 0.8738 | 0.8897         |
| 0.103         | 4.97  | 113000 | 0.4345          | 0.9061   | 0.8748 | 0.8905         |
| 0.109         | 4.99  | 113500 | 0.4186          | 0.9076   | 0.8756 | 0.8916         |
| 0.0865        | 5.01  | 114000 | 0.5107          | 0.9047   | 0.8710 | 0.8879         |
| 0.0572        | 5.03  | 114500 | 0.5682          | 0.9061   | 0.8731 | 0.8896         |
| 0.0623        | 5.06  | 115000 | 0.5706          | 0.9063   | 0.8719 | 0.8891         |
| 0.061         | 5.08  | 115500 | 0.5348          | 0.9070   | 0.8744 | 0.8907         |
| 0.0647        | 5.1   | 116000 | 0.4965          | 0.9034   | 0.8722 | 0.8878         |
| 0.0689        | 5.12  | 116500 | 0.5246          | 0.9066   | 0.8742 | 0.8904         |
| 0.0699        | 5.14  | 117000 | 0.4782          | 0.9052   | 0.8745 | 0.8898         |
| 0.0554        | 5.17  | 117500 | 0.5675          | 0.9060   | 0.8718 | 0.8889         |
| 0.0714        | 5.19  | 118000 | 0.5141          | 0.9059   | 0.8742 | 0.8901         |
| 0.0703        | 5.21  | 118500 | 0.5429          | 0.9066   | 0.8750 | 0.8908         |
| 0.0663        | 5.23  | 119000 | 0.5214          | 0.9053   | 0.8714 | 0.8883         |
| 0.0745        | 5.25  | 119500 | 0.5270          | 0.9041   | 0.8672 | 0.8857         |
| 0.0707        | 5.28  | 120000 | 0.5151          | 0.9060   | 0.8721 | 0.8890         |
| 0.0716        | 5.3   | 120500 | 0.4723          | 0.9055   | 0.8716 | 0.8885         |
| 0.0746        | 5.32  | 121000 | 0.5119          | 0.9062   | 0.8748 | 0.8905         |
| 0.0746        | 5.34  | 121500 | 0.5293          | 0.9047   | 0.8753 | 0.8900         |
| 0.0667        | 5.36  | 122000 | 0.5518          | 0.9055   | 0.8723 | 0.8889         |
| 0.0776        | 5.39  | 122500 | 0.4763          | 0.9052   | 0.8695 | 0.8873         |
| 0.0703        | 5.41  | 123000 | 0.4974          | 0.9049   | 0.8737 | 0.8893         |
| 0.0826        | 5.43  | 123500 | 0.4829          | 0.9061   | 0.8744 | 0.8902         |
| 0.0766        | 5.45  | 124000 | 0.4884          | 0.9060   | 0.8715 | 0.8887         |
| 0.0753        | 5.47  | 124500 | 0.5196          | 0.9073   | 0.8754 | 0.8914         |
| 0.0712        | 5.5   | 125000 | 0.4987          | 0.9078   | 0.8737 | 0.8908         |
| 0.0789        | 5.52  | 125500 | 0.4971          | 0.9053   | 0.8718 | 0.8885         |
| 0.0688        | 5.54  | 126000 | 0.5206          | 0.9071   | 0.8747 | 0.8909         |
| 0.072         | 5.56  | 126500 | 0.5104          | 0.9056   | 0.8730 | 0.8893         |
| 0.0853        | 5.58  | 127000 | 0.4912          | 0.9071   | 0.8751 | 0.8911         |
| 0.0777        | 5.61  | 127500 | 0.4801          | 0.9073   | 0.8753 | 0.8913         |
| 0.0623        | 5.63  | 128000 | 0.5291          | 0.9063   | 0.8746 | 0.8905         |
| 0.0701        | 5.65  | 128500 | 0.5562          | 0.9069   | 0.8765 | 0.8917         |
| 0.0733        | 5.67  | 129000 | 0.5192          | 0.9037   | 0.8739 | 0.8888         |
| 0.0782        | 5.69  | 129500 | 0.4807          | 0.9051   | 0.8723 | 0.8887         |
| 0.0848        | 5.72  | 130000 | 0.4595          | 0.9080   | 0.8752 | 0.8916         |
| 0.0706        | 5.74  | 130500 | 0.4995          | 0.9085   | 0.8772 | 0.8929         |
| 0.0728        | 5.76  | 131000 | 0.5326          | 0.9077   | 0.8737 | 0.8907         |
| 0.0695        | 5.78  | 131500 | 0.4935          | 0.9061   | 0.8719 | 0.8890         |
| 0.0702        | 5.8   | 132000 | 0.5120          | 0.9083   | 0.8755 | 0.8919         |
| 0.0753        | 5.83  | 132500 | 0.5294          | 0.9076   | 0.8758 | 0.8917         |
| 0.0767        | 5.85  | 133000 | 0.4584          | 0.9083   | 0.8754 | 0.8918         |
| 0.079         | 5.87  | 133500 | 0.5080          | 0.9068   | 0.8724 | 0.8896         |
| 0.0754        | 5.89  | 134000 | 0.4921          | 0.9035   | 0.8657 | 0.8846         |
| 0.0792        | 5.91  | 134500 | 0.5199          | 0.9066   | 0.8730 | 0.8898         |
| 0.0749        | 5.94  | 135000 | 0.4765          | 0.9060   | 0.8717 | 0.8888         |
| 0.0676        | 5.96  | 135500 | 0.5058          | 0.9089   | 0.8770 | 0.8929         |
| 0.0759        | 5.98  | 136000 | 0.5066          | 0.9086   | 0.8752 | 0.8919         |
| 0.0826        | 6.0   | 136500 | 0.4606          | 0.9085   | 0.8762 | 0.8924         |
| 0.0291        | 6.02  | 137000 | 0.6045          | 0.9084   | 0.8755 | 0.8919         |
| 0.0337        | 6.05  | 137500 | 0.6364          | 0.9087   | 0.8779 | 0.8933         |
| 0.0296        | 6.07  | 138000 | 0.6358          | 0.9064   | 0.8721 | 0.8893         |
| 0.044         | 6.09  | 138500 | 0.5803          | 0.9081   | 0.8743 | 0.8912         |
| 0.0457        | 6.11  | 139000 | 0.5926          | 0.9074   | 0.8726 | 0.8900         |
| 0.045         | 6.13  | 139500 | 0.6317          | 0.9086   | 0.8752 | 0.8919         |
| 0.0497        | 6.16  | 140000 | 0.5991          | 0.9086   | 0.8754 | 0.8920         |
| 0.0445        | 6.18  | 140500 | 0.5730          | 0.9068   | 0.8740 | 0.8904         |
| 0.0439        | 6.2   | 141000 | 0.6065          | 0.9067   | 0.8728 | 0.8898         |
| 0.0554        | 6.22  | 141500 | 0.4931          | 0.9049   | 0.8704 | 0.8876         |
| 0.0412        | 6.24  | 142000 | 0.6062          | 0.9059   | 0.8736 | 0.8898         |
| 0.0474        | 6.27  | 142500 | 0.6001          | 0.9067   | 0.8741 | 0.8904         |
| 0.0531        | 6.29  | 143000 | 0.6030          | 0.9059   | 0.8722 | 0.8891         |
| 0.0494        | 6.31  | 143500 | 0.6183          | 0.9077   | 0.8746 | 0.8912         |
| 0.0452        | 6.33  | 144000 | 0.5946          | 0.9065   | 0.8739 | 0.8902         |
| 0.0482        | 6.35  | 144500 | 0.5426          | 0.9038   | 0.8719 | 0.8879         |
| 0.0435        | 6.38  | 145000 | 0.6148          | 0.9071   | 0.8734 | 0.8903         |
| 0.047         | 6.4   | 145500 | 0.5928          | 0.9077   | 0.8735 | 0.8906         |
| 0.043         | 6.42  | 146000 | 0.5811          | 0.9086   | 0.8772 | 0.8929         |
| 0.0456        | 6.44  | 146500 | 0.6058          | 0.9072   | 0.8741 | 0.8907         |
| 0.049         | 6.46  | 147000 | 0.5890          | 0.9054   | 0.8692 | 0.8873         |
| 0.0489        | 6.49  | 147500 | 0.5786          | 0.9069   | 0.8744 | 0.8907         |
| 0.0522        | 6.51  | 148000 | 0.5644          | 0.9071   | 0.8758 | 0.8914         |
| 0.0467        | 6.53  | 148500 | 0.5914          | 0.9080   | 0.8756 | 0.8918         |
| 0.0472        | 6.55  | 149000 | 0.6033          | 0.9071   | 0.8736 | 0.8903         |
| 0.0517        | 6.57  | 149500 | 0.5749          | 0.9077   | 0.8749 | 0.8913         |
| 0.0529        | 6.6   | 150000 | 0.5754          | 0.9076   | 0.8744 | 0.8910         |
| 0.0488        | 6.62  | 150500 | 0.5413          | 0.9081   | 0.8747 | 0.8914         |
| 0.0448        | 6.64  | 151000 | 0.5679          | 0.9068   | 0.8757 | 0.8913         |
| 0.0538        | 6.66  | 151500 | 0.5431          | 0.9069   | 0.8734 | 0.8902         |
| 0.0502        | 6.68  | 152000 | 0.5823          | 0.9084   | 0.8762 | 0.8923         |
| 0.0497        | 6.71  | 152500 | 0.5861          | 0.9082   | 0.8765 | 0.8924         |
| 0.0585        | 6.73  | 153000 | 0.5779          | 0.9075   | 0.8761 | 0.8918         |
| 0.0497        | 6.75  | 153500 | 0.5633          | 0.9083   | 0.8746 | 0.8915         |
| 0.0564        | 6.77  | 154000 | 0.5331          | 0.9079   | 0.8764 | 0.8921         |
| 0.0572        | 6.79  | 154500 | 0.5478          | 0.9071   | 0.8735 | 0.8903         |
| 0.0528        | 6.82  | 155000 | 0.5474          | 0.9080   | 0.8755 | 0.8918         |
| 0.05          | 6.84  | 155500 | 0.5660          | 0.9070   | 0.8734 | 0.8902         |
| 0.0541        | 6.86  | 156000 | 0.5381          | 0.9067   | 0.8721 | 0.8894         |
| 0.0442        | 6.88  | 156500 | 0.5973          | 0.9068   | 0.8719 | 0.8893         |
| 0.0537        | 6.9   | 157000 | 0.5630          | 0.9068   | 0.8750 | 0.8909         |
| 0.0499        | 6.93  | 157500 | 0.5582          | 0.9071   | 0.8742 | 0.8907         |
| 0.0513        | 6.95  | 158000 | 0.5832          | 0.9075   | 0.8751 | 0.8913         |
| 0.0485        | 6.97  | 158500 | 0.5557          | 0.9075   | 0.8758 | 0.8917         |
| 0.0617        | 6.99  | 159000 | 0.5614          | 0.9077   | 0.8757 | 0.8917         |
| 0.0359        | 7.01  | 159500 | 0.6339          | 0.9073   | 0.8733 | 0.8903         |
| 0.022         | 7.04  | 160000 | 0.6523          | 0.9070   | 0.8755 | 0.8912         |
| 0.024         | 7.06  | 160500 | 0.6462          | 0.9063   | 0.8704 | 0.8884         |
| 0.0201        | 7.08  | 161000 | 0.6695          | 0.9075   | 0.8767 | 0.8921         |
| 0.0317        | 7.1   | 161500 | 0.5943          | 0.9077   | 0.8753 | 0.8915         |
| 0.026         | 7.12  | 162000 | 0.6681          | 0.9077   | 0.8764 | 0.8921         |
| 0.0312        | 7.15  | 162500 | 0.6359          | 0.9060   | 0.8696 | 0.8878         |
| 0.0257        | 7.17  | 163000 | 0.6764          | 0.9065   | 0.8708 | 0.8886         |
| 0.0326        | 7.19  | 163500 | 0.6922          | 0.9052   | 0.8750 | 0.8901         |
| 0.0316        | 7.21  | 164000 | 0.6541          | 0.9067   | 0.8754 | 0.8911         |
| 0.0294        | 7.23  | 164500 | 0.6247          | 0.9061   | 0.8746 | 0.8904         |
| 0.0248        | 7.26  | 165000 | 0.6762          | 0.9082   | 0.8765 | 0.8923         |
| 0.0254        | 7.28  | 165500 | 0.6835          | 0.9084   | 0.8761 | 0.8922         |
| 0.0294        | 7.3   | 166000 | 0.6762          | 0.9078   | 0.8759 | 0.8918         |
| 0.0377        | 7.32  | 166500 | 0.6571          | 0.9073   | 0.8728 | 0.8900         |
| 0.0298        | 7.34  | 167000 | 0.6450          | 0.9081   | 0.8741 | 0.8911         |
| 0.0301        | 7.37  | 167500 | 0.6651          | 0.9084   | 0.8755 | 0.8919         |
| 0.031         | 7.39  | 168000 | 0.6752          | 0.9094   | 0.8782 | 0.8938         |
| 0.0326        | 7.41  | 168500 | 0.6598          | 0.9086   | 0.8752 | 0.8919         |
| 0.0317        | 7.43  | 169000 | 0.6654          | 0.9084   | 0.8760 | 0.8922         |
| 0.0372        | 7.45  | 169500 | 0.6126          | 0.9069   | 0.8735 | 0.8902         |
| 0.0273        | 7.48  | 170000 | 0.6495          | 0.9092   | 0.8768 | 0.8930         |
| 0.0257        | 7.5   | 170500 | 0.6940          | 0.9098   | 0.8784 | 0.8941         |
| 0.0297        | 7.52  | 171000 | 0.6785          | 0.9074   | 0.8758 | 0.8916         |
| 0.0362        | 7.54  | 171500 | 0.6295          | 0.9084   | 0.8766 | 0.8925         |
| 0.0325        | 7.56  | 172000 | 0.6388          | 0.9092   | 0.8772 | 0.8932         |
| 0.0275        | 7.59  | 172500 | 0.6624          | 0.9081   | 0.8767 | 0.8924         |
| 0.0312        | 7.61  | 173000 | 0.6631          | 0.9104   | 0.8784 | 0.8944         |
| 0.0324        | 7.63  | 173500 | 0.6469          | 0.9092   | 0.8777 | 0.8935         |
| 0.0282        | 7.65  | 174000 | 0.6620          | 0.9093   | 0.8775 | 0.8934         |
| 0.0345        | 7.67  | 174500 | 0.6433          | 0.9091   | 0.8784 | 0.8938         |
| 0.0266        | 7.7   | 175000 | 0.6560          | 0.9107   | 0.8804 | 0.8955         |
| 0.0284        | 7.72  | 175500 | 0.6591          | 0.9091   | 0.8782 | 0.8936         |
| 0.0303        | 7.74  | 176000 | 0.6535          | 0.9106   | 0.8792 | 0.8949         |
| 0.0285        | 7.76  | 176500 | 0.6508          | 0.9091   | 0.8780 | 0.8936         |
| 0.0305        | 7.78  | 177000 | 0.6231          | 0.9104   | 0.8786 | 0.8945         |
| 0.0296        | 7.81  | 177500 | 0.6447          | 0.9099   | 0.8781 | 0.8940         |
| 0.0346        | 7.83  | 178000 | 0.6275          | 0.9087   | 0.8750 | 0.8919         |
| 0.0328        | 7.85  | 178500 | 0.6202          | 0.9085   | 0.8752 | 0.8918         |
| 0.0312        | 7.87  | 179000 | 0.6336          | 0.9078   | 0.8742 | 0.8910         |
| 0.0259        | 7.89  | 179500 | 0.6585          | 0.9103   | 0.8788 | 0.8946         |
| 0.0273        | 7.92  | 180000 | 0.6482          | 0.9089   | 0.8770 | 0.8930         |
| 0.0278        | 7.94  | 180500 | 0.6728          | 0.9098   | 0.8775 | 0.8937         |
| 0.0338        | 7.96  | 181000 | 0.6470          | 0.9097   | 0.8780 | 0.8939         |
| 0.0313        | 7.98  | 181500 | 0.6514          | 0.9094   | 0.8783 | 0.8939         |
| 0.0336        | 8.0   | 182000 | 0.6407          | 0.9092   | 0.8763 | 0.8927         |
| 0.0149        | 8.03  | 182500 | 0.6737          | 0.9098   | 0.8775 | 0.8936         |
| 0.0168        | 8.05  | 183000 | 0.6885          | 0.9096   | 0.8791 | 0.8944         |
| 0.021         | 8.07  | 183500 | 0.6851          | 0.9089   | 0.8742 | 0.8916         |
| 0.0109        | 8.09  | 184000 | 0.7366          | 0.9090   | 0.8786 | 0.8938         |
| 0.018         | 8.11  | 184500 | 0.7147          | 0.9107   | 0.8798 | 0.8952         |
| 0.0214        | 8.14  | 185000 | 0.6873          | 0.9103   | 0.8794 | 0.8949         |
| 0.0161        | 8.16  | 185500 | 0.7188          | 0.9097   | 0.8790 | 0.8943         |
| 0.0226        | 8.18  | 186000 | 0.6946          | 0.9091   | 0.8783 | 0.8937         |
| 0.0161        | 8.2   | 186500 | 0.7219          | 0.9094   | 0.8772 | 0.8933         |
| 0.0127        | 8.22  | 187000 | 0.7420          | 0.9098   | 0.8779 | 0.8939         |
| 0.0164        | 8.25  | 187500 | 0.7518          | 0.9094   | 0.8783 | 0.8939         |
| 0.0199        | 8.27  | 188000 | 0.7335          | 0.9086   | 0.8768 | 0.8927         |
| 0.0205        | 8.29  | 188500 | 0.7315          | 0.9105   | 0.8793 | 0.8949         |
| 0.0249        | 8.31  | 189000 | 0.6992          | 0.9103   | 0.8802 | 0.8952         |
| 0.0205        | 8.33  | 189500 | 0.7143          | 0.9104   | 0.8796 | 0.8950         |
| 0.0184        | 8.35  | 190000 | 0.7124          | 0.9096   | 0.8771 | 0.8933         |
| 0.0142        | 8.38  | 190500 | 0.7420          | 0.9095   | 0.8774 | 0.8934         |
| 0.0156        | 8.4   | 191000 | 0.7436          | 0.9101   | 0.8784 | 0.8943         |
| 0.0185        | 8.42  | 191500 | 0.7173          | 0.9089   | 0.8762 | 0.8926         |
| 0.02          | 8.44  | 192000 | 0.7331          | 0.9093   | 0.8762 | 0.8927         |
| 0.0183        | 8.46  | 192500 | 0.7188          | 0.9099   | 0.8777 | 0.8938         |
| 0.0242        | 8.49  | 193000 | 0.6705          | 0.9092   | 0.8770 | 0.8931         |
| 0.0207        | 8.51  | 193500 | 0.6862          | 0.9111   | 0.8795 | 0.8953         |
| 0.0128        | 8.53  | 194000 | 0.7317          | 0.9101   | 0.8796 | 0.8949         |
| 0.0217        | 8.55  | 194500 | 0.6976          | 0.9104   | 0.8775 | 0.8940         |
| 0.019         | 8.57  | 195000 | 0.6916          | 0.9102   | 0.8783 | 0.8943         |
| 0.0151        | 8.6   | 195500 | 0.7076          | 0.9104   | 0.8808 | 0.8956         |
| 0.0236        | 8.62  | 196000 | 0.6552          | 0.9109   | 0.8796 | 0.8953         |
| 0.0169        | 8.64  | 196500 | 0.6905          | 0.9112   | 0.8799 | 0.8955         |
| 0.0176        | 8.66  | 197000 | 0.7132          | 0.9108   | 0.8804 | 0.8956         |
| 0.0158        | 8.68  | 197500 | 0.6887          | 0.9102   | 0.8792 | 0.8947         |
| 0.0171        | 8.71  | 198000 | 0.7130          | 0.9111   | 0.8793 | 0.8952         |
| 0.0144        | 8.73  | 198500 | 0.7334          | 0.9095   | 0.8768 | 0.8931         |
| 0.0175        | 8.75  | 199000 | 0.7189          | 0.9102   | 0.8784 | 0.8943         |
| 0.0231        | 8.77  | 199500 | 0.6906          | 0.9102   | 0.8780 | 0.8941         |
| 0.0147        | 8.79  | 200000 | 0.7247          | 0.9102   | 0.8795 | 0.8948         |
| 0.0121        | 8.82  | 200500 | 0.7233          | 0.9098   | 0.8779 | 0.8939         |
| 0.0201        | 8.84  | 201000 | 0.7178          | 0.9113   | 0.8806 | 0.8959         |
| 0.0201        | 8.86  | 201500 | 0.6971          | 0.9113   | 0.8803 | 0.8958         |
| 0.0138        | 8.88  | 202000 | 0.6990          | 0.9115   | 0.8807 | 0.8961         |
| 0.0156        | 8.9   | 202500 | 0.7007          | 0.9110   | 0.8800 | 0.8955         |
| 0.0176        | 8.93  | 203000 | 0.6884          | 0.9103   | 0.8772 | 0.8937         |
| 0.0114        | 8.95  | 203500 | 0.7346          | 0.9111   | 0.8786 | 0.8949         |
| 0.0132        | 8.97  | 204000 | 0.7333          | 0.9114   | 0.88   | 0.8957         |
| 0.0182        | 8.99  | 204500 | 0.7039          | 0.9102   | 0.8777 | 0.8940         |
| 0.012         | 9.01  | 205000 | 0.7296          | 0.9110   | 0.8805 | 0.8958         |
| 0.0111        | 9.04  | 205500 | 0.7369          | 0.9115   | 0.8809 | 0.8962         |
| 0.0091        | 9.06  | 206000 | 0.7508          | 0.9102   | 0.8786 | 0.8944         |
| 0.0104        | 9.08  | 206500 | 0.7597          | 0.9106   | 0.8802 | 0.8954         |
| 0.0066        | 9.1   | 207000 | 0.7725          | 0.9099   | 0.8772 | 0.8936         |
| 0.0077        | 9.12  | 207500 | 0.7937          | 0.9104   | 0.8794 | 0.8949         |
| 0.01          | 9.15  | 208000 | 0.7965          | 0.9112   | 0.8804 | 0.8958         |
| 0.0128        | 9.17  | 208500 | 0.7838          | 0.9115   | 0.8801 | 0.8958         |
| 0.0106        | 9.19  | 209000 | 0.7848          | 0.9116   | 0.8802 | 0.8959         |
| 0.0071        | 9.21  | 209500 | 0.7888          | 0.9110   | 0.8800 | 0.8955         |
| 0.0096        | 9.23  | 210000 | 0.7946          | 0.9117   | 0.8795 | 0.8956         |
| 0.0125        | 9.26  | 210500 | 0.7956          | 0.9108   | 0.8800 | 0.8954         |
| 0.008         | 9.28  | 211000 | 0.7865          | 0.9116   | 0.8808 | 0.8962         |
| 0.0151        | 9.3   | 211500 | 0.7537          | 0.9105   | 0.8789 | 0.8947         |
| 0.0094        | 9.32  | 212000 | 0.7716          | 0.9113   | 0.8797 | 0.8955         |
| 0.0114        | 9.34  | 212500 | 0.7715          | 0.9115   | 0.8798 | 0.8956         |
| 0.0062        | 9.37  | 213000 | 0.7807          | 0.9117   | 0.8800 | 0.8959         |
| 0.0122        | 9.39  | 213500 | 0.7819          | 0.9112   | 0.8806 | 0.8959         |
| 0.0103        | 9.41  | 214000 | 0.7792          | 0.9113   | 0.8796 | 0.8954         |
| 0.007         | 9.43  | 214500 | 0.7837          | 0.9119   | 0.8805 | 0.8962         |
| 0.0046        | 9.45  | 215000 | 0.8014          | 0.9119   | 0.8814 | 0.8967         |
| 0.0092        | 9.48  | 215500 | 0.8016          | 0.9121   | 0.8808 | 0.8964         |
| 0.0106        | 9.5   | 216000 | 0.7944          | 0.9123   | 0.8809 | 0.8966         |
| 0.0092        | 9.52  | 216500 | 0.7868          | 0.9123   | 0.8817 | 0.8970         |
| 0.011         | 9.54  | 217000 | 0.7833          | 0.9121   | 0.8810 | 0.8966         |
| 0.0113        | 9.56  | 217500 | 0.7788          | 0.9118   | 0.8804 | 0.8961         |
| 0.0095        | 9.59  | 218000 | 0.7786          | 0.9121   | 0.8812 | 0.8966         |
| 0.0127        | 9.61  | 218500 | 0.7821          | 0.9116   | 0.8807 | 0.8962         |
| 0.0106        | 9.63  | 219000 | 0.7846          | 0.9114   | 0.8809 | 0.8961         |
| 0.0097        | 9.65  | 219500 | 0.7858          | 0.9117   | 0.8810 | 0.8964         |
| 0.0071        | 9.67  | 220000 | 0.7903          | 0.9119   | 0.8815 | 0.8967         |
| 0.0136        | 9.7   | 220500 | 0.7746          | 0.9121   | 0.8809 | 0.8965         |
| 0.0048        | 9.72  | 221000 | 0.7809          | 0.9119   | 0.8802 | 0.8961         |
| 0.0081        | 9.74  | 221500 | 0.7865          | 0.9118   | 0.8802 | 0.8960         |
| 0.0093        | 9.76  | 222000 | 0.7911          | 0.9122   | 0.8813 | 0.8967         |
| 0.0103        | 9.78  | 222500 | 0.7908          | 0.9122   | 0.8816 | 0.8969         |
| 0.0092        | 9.81  | 223000 | 0.7918          | 0.9121   | 0.8805 | 0.8963         |
| 0.0097        | 9.83  | 223500 | 0.7912          | 0.9119   | 0.8802 | 0.8960         |
| 0.0071        | 9.85  | 224000 | 0.7929          | 0.9119   | 0.8801 | 0.8960         |
| 0.0096        | 9.87  | 224500 | 0.7953          | 0.9121   | 0.8804 | 0.8962         |
| 0.0037        | 9.89  | 225000 | 0.7992          | 0.9123   | 0.8812 | 0.8967         |
| 0.0085        | 9.92  | 225500 | 0.7990          | 0.9122   | 0.8809 | 0.8966         |
| 0.0065        | 9.94  | 226000 | 0.8008          | 0.9121   | 0.8810 | 0.8965         |
| 0.0079        | 9.96  | 226500 | 0.8008          | 0.9119   | 0.8809 | 0.8964         |
| 0.0116        | 9.98  | 227000 | 0.8004          | 0.9120   | 0.8811 | 0.8965         |


### Framework versions

- Transformers 4.21.3
- Pytorch 1.7.1
- Datasets 1.18.3
- Tokenizers 0.11.6

{"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["glue"], "metrics": ["accuracy", "f1"], "model-index": [{"name": "bert-base-cased-qqp", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "GLUE QQP", "type": "glue", "args": "qqp"}, "metrics": [{"type": "accuracy", "value": 0.8980707395498392, "name": "Accuracy"}, {"type": "f1", "value": 0.8616696317679836, "name": "F1"}]}]}]}
transformers pytorch bert text-classification generated_from_trainer en dataset:glue license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #en #dataset-glue #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 

bert-base-cased-qqp
===================


This model is a fine-tuned version of bert-base-cased on the GLUE QQP dataset.
It achieves the following results on the evaluation set:


* Loss: 0.2437
* Accuracy: 0.8981
* F1: 0.8617
* Combined Score: 0.8799


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: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_ratio: 0.06
* num\_epochs: 10.0


### Training results



### Framework versions


* Transformers 4.21.3
* Pytorch 1.7.1
* Datasets 1.18.3
* Tokenizers 0.11.6



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_ratio: 0.06
* num\_epochs: 10.0 ### Training results ### Framework versions


* Transformers 4.21.3
* Pytorch 1.7.1
* Datasets 1.18.3
* Tokenizers 0.11.6
TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #en #dataset-glue #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_ratio: 0.06
* num\_epochs: 10.0 ### Training results ### Framework versions


* Transformers 4.21.3
* Pytorch 1.7.1
* Datasets 1.18.3
* Tokenizers 0.11.6
passage: TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #en #dataset-glue #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_ratio: 0.06
* num\_epochs: 10.0### Training results### Framework versions


* Transformers 4.21.3
* Pytorch 1.7.1
* Datasets 1.18.3
* Tokenizers 0.11.6