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ASAP_FineTuningBERT_AugV5_k2_task1_organization_fold1

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@@ -5,21 +5,21 @@ base_model: bert-base-uncased
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: ASAP_FineTuningBERT_AugV5_k2_task1_organization_fold0
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # ASAP_FineTuningBERT_AugV5_k2_task1_organization_fold0
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.5672
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- - Qwk: 0.1569
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- - Mse: 2.5672
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- - Rmse: 1.6023
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  ## Model description
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@@ -48,108 +48,108 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
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- | No log | 1.0 | 2 | 8.9837 | 0.0 | 8.9837 | 2.9973 |
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- | No log | 2.0 | 4 | 7.5886 | 0.0 | 7.5886 | 2.7547 |
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- | No log | 3.0 | 6 | 6.7933 | 0.0 | 6.7933 | 2.6064 |
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- | No log | 4.0 | 8 | 5.9019 | 0.0334 | 5.9019 | 2.4294 |
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- | 4.9726 | 5.0 | 10 | 5.0055 | 0.0115 | 5.0055 | 2.2373 |
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- | 4.9726 | 6.0 | 12 | 4.2886 | 0.0039 | 4.2886 | 2.0709 |
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- | 4.9726 | 7.0 | 14 | 3.4374 | 0.0 | 3.4374 | 1.8540 |
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- | 4.9726 | 8.0 | 16 | 2.7480 | 0.0 | 2.7480 | 1.6577 |
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- | 4.9726 | 9.0 | 18 | 2.1294 | 0.0689 | 2.1294 | 1.4592 |
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- | 2.3566 | 10.0 | 20 | 1.9136 | 0.0664 | 1.9136 | 1.3833 |
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- | 2.3566 | 11.0 | 22 | 1.6575 | 0.0316 | 1.6575 | 1.2875 |
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- | 2.3566 | 12.0 | 24 | 1.5791 | 0.0316 | 1.5791 | 1.2566 |
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- | 2.3566 | 13.0 | 26 | 1.5508 | 0.0316 | 1.5508 | 1.2453 |
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- | 2.3566 | 14.0 | 28 | 2.2890 | 0.1589 | 2.2890 | 1.5129 |
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- | 1.7933 | 15.0 | 30 | 2.1373 | 0.1624 | 2.1373 | 1.4619 |
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- | 1.7933 | 16.0 | 32 | 1.5227 | 0.0575 | 1.5227 | 1.2340 |
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- | 1.7933 | 17.0 | 34 | 1.7374 | 0.1078 | 1.7374 | 1.3181 |
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- | 1.7933 | 18.0 | 36 | 2.0888 | 0.1489 | 2.0888 | 1.4453 |
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- | 1.7933 | 19.0 | 38 | 1.7404 | 0.1411 | 1.7404 | 1.3192 |
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- | 1.5013 | 20.0 | 40 | 1.8295 | 0.1288 | 1.8295 | 1.3526 |
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- | 1.5013 | 21.0 | 42 | 2.7252 | 0.0775 | 2.7252 | 1.6508 |
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- | 1.5013 | 22.0 | 44 | 2.2863 | 0.1148 | 2.2863 | 1.5121 |
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- | 1.5013 | 23.0 | 46 | 1.9034 | 0.1520 | 1.9034 | 1.3796 |
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- | 1.5013 | 24.0 | 48 | 2.4564 | 0.1052 | 2.4564 | 1.5673 |
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- | 1.0621 | 25.0 | 50 | 2.3437 | 0.1033 | 2.3437 | 1.5309 |
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- | 1.0621 | 26.0 | 52 | 2.8176 | 0.0791 | 2.8176 | 1.6786 |
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- | 1.0621 | 27.0 | 54 | 2.2993 | 0.1371 | 2.2993 | 1.5164 |
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- | 1.0621 | 28.0 | 56 | 3.3617 | 0.0554 | 3.3617 | 1.8335 |
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- | 1.0621 | 29.0 | 58 | 2.8583 | 0.0866 | 2.8583 | 1.6907 |
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- | 0.5724 | 30.0 | 60 | 2.0071 | 0.1854 | 2.0071 | 1.4167 |
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- | 0.5724 | 31.0 | 62 | 2.4842 | 0.1259 | 2.4842 | 1.5762 |
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- | 0.5724 | 32.0 | 64 | 3.6091 | 0.0536 | 3.6091 | 1.8998 |
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- | 0.5724 | 33.0 | 66 | 3.5167 | 0.0628 | 3.5167 | 1.8753 |
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- | 0.5724 | 34.0 | 68 | 2.4939 | 0.1330 | 2.4939 | 1.5792 |
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- | 0.3724 | 35.0 | 70 | 3.0914 | 0.0849 | 3.0914 | 1.7582 |
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- | 0.3724 | 36.0 | 72 | 2.7255 | 0.1191 | 2.7255 | 1.6509 |
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- | 0.3724 | 37.0 | 74 | 2.7631 | 0.1198 | 2.7631 | 1.6622 |
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- | 0.3724 | 38.0 | 76 | 2.6358 | 0.1352 | 2.6358 | 1.6235 |
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- | 0.3724 | 39.0 | 78 | 3.2364 | 0.0837 | 3.2364 | 1.7990 |
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- | 0.254 | 40.0 | 80 | 3.0060 | 0.0967 | 3.0059 | 1.7338 |
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- | 0.254 | 41.0 | 82 | 2.7999 | 0.1069 | 2.7999 | 1.6733 |
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- | 0.254 | 42.0 | 84 | 3.1689 | 0.0883 | 3.1689 | 1.7801 |
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- | 0.254 | 43.0 | 86 | 3.2822 | 0.0836 | 3.2822 | 1.8117 |
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- | 0.254 | 44.0 | 88 | 3.0970 | 0.0885 | 3.0970 | 1.7598 |
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- | 0.1736 | 45.0 | 90 | 2.5817 | 0.1349 | 2.5817 | 1.6068 |
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- | 0.1736 | 46.0 | 92 | 2.9280 | 0.1108 | 2.9280 | 1.7111 |
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- | 0.1736 | 47.0 | 94 | 2.9410 | 0.1154 | 2.9410 | 1.7149 |
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- | 0.1736 | 48.0 | 96 | 2.3168 | 0.1684 | 2.3168 | 1.5221 |
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- | 0.1736 | 49.0 | 98 | 2.4283 | 0.1632 | 2.4283 | 1.5583 |
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- | 0.1486 | 50.0 | 100 | 3.1574 | 0.1084 | 3.1574 | 1.7769 |
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- | 0.1486 | 51.0 | 102 | 2.9698 | 0.1068 | 2.9698 | 1.7233 |
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- | 0.1486 | 52.0 | 104 | 2.5049 | 0.1489 | 2.5049 | 1.5827 |
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- | 0.1486 | 53.0 | 106 | 3.1017 | 0.0877 | 3.1017 | 1.7612 |
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- | 0.1486 | 54.0 | 108 | 3.0418 | 0.0908 | 3.0418 | 1.7441 |
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- | 0.1233 | 55.0 | 110 | 2.4456 | 0.1517 | 2.4456 | 1.5639 |
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- | 0.1233 | 56.0 | 112 | 2.8118 | 0.1073 | 2.8118 | 1.6769 |
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- | 0.1233 | 57.0 | 114 | 2.7787 | 0.1210 | 2.7787 | 1.6669 |
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- | 0.1233 | 58.0 | 116 | 2.7518 | 0.1227 | 2.7518 | 1.6589 |
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- | 0.1233 | 59.0 | 118 | 2.7771 | 0.1209 | 2.7771 | 1.6665 |
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- | 0.1054 | 60.0 | 120 | 2.4018 | 0.1516 | 2.4018 | 1.5498 |
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- | 0.1054 | 61.0 | 122 | 2.5651 | 0.1327 | 2.5651 | 1.6016 |
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- | 0.1054 | 62.0 | 124 | 2.4406 | 0.1493 | 2.4406 | 1.5622 |
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- | 0.1054 | 63.0 | 126 | 2.8577 | 0.1144 | 2.8577 | 1.6905 |
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- | 0.1054 | 64.0 | 128 | 2.5507 | 0.1318 | 2.5507 | 1.5971 |
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- | 0.0981 | 65.0 | 130 | 2.0764 | 0.1847 | 2.0764 | 1.4410 |
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- | 0.0981 | 66.0 | 132 | 2.3426 | 0.1459 | 2.3426 | 1.5306 |
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- | 0.0981 | 67.0 | 134 | 3.0805 | 0.0948 | 3.0805 | 1.7551 |
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- | 0.0981 | 68.0 | 136 | 3.2191 | 0.0815 | 3.2191 | 1.7942 |
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- | 0.0981 | 69.0 | 138 | 2.6300 | 0.1184 | 2.6300 | 1.6217 |
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- | 0.1122 | 70.0 | 140 | 1.9715 | 0.2115 | 1.9715 | 1.4041 |
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- | 0.1122 | 71.0 | 142 | 2.0239 | 0.1938 | 2.0239 | 1.4226 |
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- | 0.1122 | 72.0 | 144 | 2.5947 | 0.1181 | 2.5947 | 1.6108 |
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- | 0.1122 | 73.0 | 146 | 2.8110 | 0.1127 | 2.8110 | 1.6766 |
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- | 0.1122 | 74.0 | 148 | 2.5182 | 0.1347 | 2.5182 | 1.5869 |
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- | 0.0899 | 75.0 | 150 | 2.6086 | 0.1365 | 2.6086 | 1.6151 |
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- | 0.0899 | 76.0 | 152 | 2.9564 | 0.1153 | 2.9564 | 1.7194 |
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- | 0.0899 | 77.0 | 154 | 2.7835 | 0.1342 | 2.7835 | 1.6684 |
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- | 0.0899 | 78.0 | 156 | 2.5104 | 0.1472 | 2.5104 | 1.5844 |
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- | 0.0899 | 79.0 | 158 | 2.6229 | 0.1391 | 2.6229 | 1.6195 |
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- | 0.0772 | 80.0 | 160 | 2.6771 | 0.1336 | 2.6771 | 1.6362 |
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- | 0.0772 | 81.0 | 162 | 2.6291 | 0.1312 | 2.6291 | 1.6214 |
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- | 0.0772 | 82.0 | 164 | 2.4204 | 0.1493 | 2.4204 | 1.5558 |
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- | 0.0772 | 83.0 | 166 | 2.3233 | 0.1581 | 2.3233 | 1.5242 |
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- | 0.0772 | 84.0 | 168 | 2.3747 | 0.1514 | 2.3747 | 1.5410 |
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- | 0.0771 | 85.0 | 170 | 2.5471 | 0.1405 | 2.5471 | 1.5960 |
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- | 0.0771 | 86.0 | 172 | 2.6281 | 0.1360 | 2.6281 | 1.6211 |
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- | 0.0771 | 87.0 | 174 | 2.5029 | 0.1520 | 2.5029 | 1.5821 |
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- | 0.0771 | 88.0 | 176 | 2.4189 | 0.1629 | 2.4189 | 1.5553 |
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- | 0.0771 | 89.0 | 178 | 2.5380 | 0.1522 | 2.5380 | 1.5931 |
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- | 0.0766 | 90.0 | 180 | 2.7065 | 0.1380 | 2.7065 | 1.6451 |
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- | 0.0766 | 91.0 | 182 | 2.6679 | 0.1351 | 2.6679 | 1.6334 |
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- | 0.0766 | 92.0 | 184 | 2.5639 | 0.1471 | 2.5639 | 1.6012 |
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- | 0.0766 | 93.0 | 186 | 2.5141 | 0.1511 | 2.5141 | 1.5856 |
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- | 0.0766 | 94.0 | 188 | 2.5017 | 0.1513 | 2.5017 | 1.5817 |
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- | 0.0521 | 95.0 | 190 | 2.5129 | 0.1508 | 2.5129 | 1.5852 |
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- | 0.0521 | 96.0 | 192 | 2.4979 | 0.1555 | 2.4979 | 1.5805 |
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- | 0.0521 | 97.0 | 194 | 2.4822 | 0.1628 | 2.4822 | 1.5755 |
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- | 0.0521 | 98.0 | 196 | 2.5032 | 0.1601 | 2.5032 | 1.5822 |
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- | 0.0521 | 99.0 | 198 | 2.5438 | 0.1584 | 2.5438 | 1.5949 |
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- | 0.0576 | 100.0 | 200 | 2.5672 | 0.1569 | 2.5672 | 1.6023 |
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  model-index:
8
+ - name: ASAP_FineTuningBERT_AugV5_k2_task1_organization_fold1
9
  results: []
10
  ---
11
 
12
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
  should probably proofread and complete it, then remove this comment. -->
14
 
15
+ # ASAP_FineTuningBERT_AugV5_k2_task1_organization_fold1
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4882
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+ - Qwk: -0.0698
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+ - Mse: 1.4885
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+ - Rmse: 1.2201
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:------:|
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+ | No log | 1.0 | 2 | 10.4698 | -0.0007 | 10.4674 | 3.2353 |
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+ | No log | 2.0 | 4 | 8.1315 | 0.0 | 8.1297 | 2.8513 |
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+ | No log | 3.0 | 6 | 6.6203 | 0.0 | 6.6185 | 2.5727 |
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+ | No log | 4.0 | 8 | 5.1594 | 0.0397 | 5.1581 | 2.2711 |
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+ | 5.2619 | 5.0 | 10 | 4.2139 | 0.0204 | 4.2128 | 2.0525 |
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+ | 5.2619 | 6.0 | 12 | 3.3484 | 0.0 | 3.3476 | 1.8296 |
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+ | 5.2619 | 7.0 | 14 | 2.4695 | 0.0335 | 2.4690 | 1.5713 |
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+ | 5.2619 | 8.0 | 16 | 2.4274 | 0.0165 | 2.4268 | 1.5578 |
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+ | 5.2619 | 9.0 | 18 | 2.0689 | -0.0045 | 2.0685 | 1.4382 |
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+ | 2.1268 | 10.0 | 20 | 1.4960 | 0.0315 | 1.4959 | 1.2231 |
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+ | 2.1268 | 11.0 | 22 | 1.4326 | 0.0106 | 1.4326 | 1.1969 |
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+ | 2.1268 | 12.0 | 24 | 1.5562 | 0.0211 | 1.5563 | 1.2475 |
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+ | 2.1268 | 13.0 | 26 | 1.4471 | 0.0 | 1.4472 | 1.2030 |
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+ | 2.1268 | 14.0 | 28 | 1.3652 | 0.0 | 1.3653 | 1.1685 |
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+ | 1.7632 | 15.0 | 30 | 1.3694 | 0.0 | 1.3695 | 1.1703 |
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+ | 1.7632 | 16.0 | 32 | 1.3967 | 0.0 | 1.3969 | 1.1819 |
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+ | 1.7632 | 17.0 | 34 | 1.3075 | 0.0 | 1.3077 | 1.1435 |
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+ | 1.7632 | 18.0 | 36 | 1.0959 | 0.0 | 1.0962 | 1.0470 |
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+ | 1.7632 | 19.0 | 38 | 1.2807 | 0.0310 | 1.2809 | 1.1318 |
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+ | 1.2911 | 20.0 | 40 | 1.2929 | 0.0268 | 1.2930 | 1.1371 |
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+ | 1.2911 | 21.0 | 42 | 1.0497 | 0.0845 | 1.0498 | 1.0246 |
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+ | 1.2911 | 22.0 | 44 | 0.9889 | 0.1424 | 0.9891 | 0.9945 |
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+ | 1.2911 | 23.0 | 46 | 1.4049 | 0.0318 | 1.4049 | 1.1853 |
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+ | 1.2911 | 24.0 | 48 | 1.4490 | 0.0275 | 1.4489 | 1.2037 |
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+ | 0.7404 | 25.0 | 50 | 1.0279 | 0.0799 | 1.0280 | 1.0139 |
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+ | 0.7404 | 26.0 | 52 | 1.1402 | 0.0429 | 1.1403 | 1.0678 |
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+ | 0.7404 | 27.0 | 54 | 1.1346 | 0.0409 | 1.1347 | 1.0652 |
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+ | 0.7404 | 28.0 | 56 | 1.2277 | 0.0135 | 1.2277 | 1.1080 |
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+ | 0.7404 | 29.0 | 58 | 1.3712 | -0.0413 | 1.3712 | 1.1710 |
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+ | 0.3592 | 30.0 | 60 | 1.4526 | -0.0638 | 1.4526 | 1.2052 |
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+ | 0.3592 | 31.0 | 62 | 1.3467 | -0.0549 | 1.3468 | 1.1605 |
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+ | 0.3592 | 32.0 | 64 | 1.6744 | -0.1048 | 1.6743 | 1.2939 |
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+ | 0.3592 | 33.0 | 66 | 1.3546 | -0.0932 | 1.3548 | 1.1639 |
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+ | 0.3592 | 34.0 | 68 | 1.5503 | -0.1470 | 1.5503 | 1.2451 |
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+ | 0.2171 | 35.0 | 70 | 1.9329 | -0.1356 | 1.9329 | 1.3903 |
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+ | 0.2171 | 36.0 | 72 | 1.5089 | -0.1392 | 1.5091 | 1.2284 |
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+ | 0.2171 | 37.0 | 74 | 1.5246 | -0.1416 | 1.5249 | 1.2349 |
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+ | 0.2171 | 38.0 | 76 | 1.7712 | -0.1316 | 1.7713 | 1.3309 |
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+ | 0.2171 | 39.0 | 78 | 1.4046 | -0.1219 | 1.4050 | 1.1853 |
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+ | 0.1885 | 40.0 | 80 | 1.3810 | -0.0741 | 1.3813 | 1.1753 |
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+ | 0.1885 | 41.0 | 82 | 1.5772 | -0.0926 | 1.5773 | 1.2559 |
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+ | 0.1885 | 42.0 | 84 | 1.3764 | -0.0644 | 1.3767 | 1.1733 |
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+ | 0.1885 | 43.0 | 86 | 1.4507 | -0.0755 | 1.4510 | 1.2046 |
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+ | 0.1885 | 44.0 | 88 | 1.7247 | -0.0723 | 1.7249 | 1.3134 |
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+ | 0.1315 | 45.0 | 90 | 1.4254 | -0.0527 | 1.4258 | 1.1941 |
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+ | 0.1315 | 46.0 | 92 | 1.3033 | -0.0232 | 1.3036 | 1.1418 |
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+ | 0.1315 | 47.0 | 94 | 1.3636 | -0.0364 | 1.3639 | 1.1679 |
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+ | 0.1315 | 48.0 | 96 | 1.3356 | -0.0357 | 1.3359 | 1.1558 |
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+ | 0.1315 | 49.0 | 98 | 1.4280 | -0.0507 | 1.4282 | 1.1951 |
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+ | 0.1111 | 50.0 | 100 | 1.4952 | -0.0803 | 1.4955 | 1.2229 |
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+ | 0.1111 | 51.0 | 102 | 1.4609 | -0.0782 | 1.4612 | 1.2088 |
104
+ | 0.1111 | 52.0 | 104 | 1.3766 | -0.0958 | 1.3769 | 1.1734 |
105
+ | 0.1111 | 53.0 | 106 | 1.3836 | -0.0766 | 1.3838 | 1.1764 |
106
+ | 0.1111 | 54.0 | 108 | 1.4240 | -0.0730 | 1.4242 | 1.1934 |
107
+ | 0.1028 | 55.0 | 110 | 1.5048 | -0.0779 | 1.5049 | 1.2267 |
108
+ | 0.1028 | 56.0 | 112 | 1.4158 | -0.0708 | 1.4160 | 1.1900 |
109
+ | 0.1028 | 57.0 | 114 | 1.4916 | -0.0688 | 1.4917 | 1.2214 |
110
+ | 0.1028 | 58.0 | 116 | 1.4316 | -0.0607 | 1.4318 | 1.1966 |
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+ | 0.1028 | 59.0 | 118 | 1.4572 | -0.0578 | 1.4573 | 1.2072 |
112
+ | 0.0887 | 60.0 | 120 | 1.3877 | -0.0395 | 1.3879 | 1.1781 |
113
+ | 0.0887 | 61.0 | 122 | 1.3899 | -0.0467 | 1.3901 | 1.1790 |
114
+ | 0.0887 | 62.0 | 124 | 1.4124 | -0.0426 | 1.4127 | 1.1886 |
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+ | 0.0887 | 63.0 | 126 | 1.3312 | -0.0644 | 1.3315 | 1.1539 |
116
+ | 0.0887 | 64.0 | 128 | 1.4083 | -0.0439 | 1.4086 | 1.1868 |
117
+ | 0.0708 | 65.0 | 130 | 1.4874 | -0.0502 | 1.4877 | 1.2197 |
118
+ | 0.0708 | 66.0 | 132 | 1.4187 | -0.0635 | 1.4190 | 1.1912 |
119
+ | 0.0708 | 67.0 | 134 | 1.5010 | -0.0547 | 1.5013 | 1.2253 |
120
+ | 0.0708 | 68.0 | 136 | 1.6029 | -0.0889 | 1.6032 | 1.2662 |
121
+ | 0.0708 | 69.0 | 138 | 1.4475 | -0.1025 | 1.4479 | 1.2033 |
122
+ | 0.0716 | 70.0 | 140 | 1.4358 | -0.1056 | 1.4363 | 1.1984 |
123
+ | 0.0716 | 71.0 | 142 | 1.5800 | -0.0839 | 1.5804 | 1.2571 |
124
+ | 0.0716 | 72.0 | 144 | 1.6272 | -0.0918 | 1.6275 | 1.2757 |
125
+ | 0.0716 | 73.0 | 146 | 1.4703 | -0.0880 | 1.4707 | 1.2127 |
126
+ | 0.0716 | 74.0 | 148 | 1.4363 | -0.0814 | 1.4367 | 1.1986 |
127
+ | 0.0699 | 75.0 | 150 | 1.5460 | -0.0866 | 1.5463 | 1.2435 |
128
+ | 0.0699 | 76.0 | 152 | 1.5505 | -0.0863 | 1.5508 | 1.2453 |
129
+ | 0.0699 | 77.0 | 154 | 1.4169 | -0.0670 | 1.4174 | 1.1905 |
130
+ | 0.0699 | 78.0 | 156 | 1.3448 | -0.0726 | 1.3453 | 1.1599 |
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+ | 0.0699 | 79.0 | 158 | 1.3791 | -0.0797 | 1.3796 | 1.1746 |
132
+ | 0.0677 | 80.0 | 160 | 1.5306 | -0.0710 | 1.5309 | 1.2373 |
133
+ | 0.0677 | 81.0 | 162 | 1.5896 | -0.0796 | 1.5898 | 1.2609 |
134
+ | 0.0677 | 82.0 | 164 | 1.5151 | -0.0796 | 1.5154 | 1.2310 |
135
+ | 0.0677 | 83.0 | 166 | 1.4331 | -0.0691 | 1.4335 | 1.1973 |
136
+ | 0.0677 | 84.0 | 168 | 1.4458 | -0.0642 | 1.4463 | 1.2026 |
137
+ | 0.0605 | 85.0 | 170 | 1.4730 | -0.0596 | 1.4734 | 1.2139 |
138
+ | 0.0605 | 86.0 | 172 | 1.4367 | -0.0647 | 1.4371 | 1.1988 |
139
+ | 0.0605 | 87.0 | 174 | 1.3804 | -0.0774 | 1.3809 | 1.1751 |
140
+ | 0.0605 | 88.0 | 176 | 1.3941 | -0.0742 | 1.3945 | 1.1809 |
141
+ | 0.0605 | 89.0 | 178 | 1.4419 | -0.0652 | 1.4423 | 1.2010 |
142
+ | 0.0639 | 90.0 | 180 | 1.4717 | -0.0652 | 1.4720 | 1.2133 |
143
+ | 0.0639 | 91.0 | 182 | 1.4858 | -0.0451 | 1.4862 | 1.2191 |
144
+ | 0.0639 | 92.0 | 184 | 1.4412 | -0.0713 | 1.4416 | 1.2007 |
145
+ | 0.0639 | 93.0 | 186 | 1.4027 | -0.0522 | 1.4031 | 1.1845 |
146
+ | 0.0639 | 94.0 | 188 | 1.4078 | -0.0522 | 1.4083 | 1.1867 |
147
+ | 0.0601 | 95.0 | 190 | 1.4289 | -0.0517 | 1.4293 | 1.1955 |
148
+ | 0.0601 | 96.0 | 192 | 1.4334 | -0.0532 | 1.4338 | 1.1974 |
149
+ | 0.0601 | 97.0 | 194 | 1.4532 | -0.0610 | 1.4536 | 1.2057 |
150
+ | 0.0601 | 98.0 | 196 | 1.4735 | -0.0683 | 1.4739 | 1.2140 |
151
+ | 0.0601 | 99.0 | 198 | 1.4854 | -0.0725 | 1.4858 | 1.2189 |
152
+ | 0.058 | 100.0 | 200 | 1.4882 | -0.0698 | 1.4885 | 1.2201 |
153
 
154
 
155
  ### Framework versions