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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- aryap2/kematangan-pisang-224_v4.7 |
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pipeline_tag: image-classification |
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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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# kematangan-pisang-vit-h-14-100eph-224-telyu |
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This model is a fine-tuned version of [google/vit-huge-patch14-224-in21k](https://huggingface.co/google/vit-huge-patch14-224-in21k) on the dataset kematangan pisang primer. |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 100 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Recall | Specificity | Precision | Npv | Accuracy | F1 | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:-----------:|:---------:|:------:|:--------:|:------:| |
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| No log | 1.0 | 187 | 0.3757 | 0.8980 | 0.9768 | 0.9387 | 0.9798 | 0.9307 | 0.9066 | |
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| No log | 2.0 | 374 | 0.2434 | 0.9469 | 0.9854 | 0.9464 | 0.9851 | 0.9547 | 0.9464 | |
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| 0.3226 | 3.0 | 561 | 0.1817 | 0.9616 | 0.9899 | 0.9593 | 0.9896 | 0.968 | 0.9604 | |
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| 0.3226 | 4.0 | 748 | 0.1778 | 0.9436 | 0.9862 | 0.9498 | 0.9865 | 0.9573 | 0.9459 | |
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| 0.3226 | 5.0 | 935 | 0.1710 | 0.9395 | 0.9842 | 0.9490 | 0.9847 | 0.952 | 0.9428 | |
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| 0.1007 | 6.0 | 1122 | 0.1100 | 0.9658 | 0.9907 | 0.9636 | 0.9904 | 0.9707 | 0.9646 | |
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| 0.1007 | 7.0 | 1309 | 0.1017 | 0.9689 | 0.9918 | 0.9640 | 0.9914 | 0.9733 | 0.9661 | |
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| 0.1007 | 8.0 | 1496 | 0.0911 | 0.9715 | 0.9926 | 0.9677 | 0.9923 | 0.976 | 0.9694 | |
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| 0.0882 | 9.0 | 1683 | 0.2328 | 0.8882 | 0.9735 | 0.9223 | 0.9762 | 0.92 | 0.8943 | |
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| 0.0882 | 10.0 | 1870 | 0.1409 | 0.9405 | 0.9851 | 0.9518 | 0.9857 | 0.9547 | 0.9442 | |
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| 0.0606 | 11.0 | 2057 | 0.1400 | 0.9388 | 0.9859 | 0.9570 | 0.9871 | 0.9573 | 0.9446 | |
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| 0.0606 | 12.0 | 2244 | 0.0992 | 0.9541 | 0.9889 | 0.9577 | 0.9890 | 0.9653 | 0.9556 | |
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| 0.0606 | 13.0 | 2431 | 0.0883 | 0.9747 | 0.9928 | 0.9669 | 0.9922 | 0.976 | 0.9697 | |
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| 0.0495 | 14.0 | 2618 | 0.1169 | 0.9601 | 0.9878 | 0.9492 | 0.9869 | 0.96 | 0.9521 | |
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| 0.0495 | 15.0 | 2805 | 0.1043 | 0.9547 | 0.9888 | 0.9595 | 0.9890 | 0.9653 | 0.9566 | |
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| 0.0495 | 16.0 | 2992 | 0.1056 | 0.9572 | 0.9903 | 0.9708 | 0.9912 | 0.9707 | 0.9624 | |
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| 0.0524 | 17.0 | 3179 | 0.2722 | 0.8751 | 0.9733 | 0.9335 | 0.9779 | 0.92 | 0.8825 | |
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| 0.0524 | 18.0 | 3366 | 0.0712 | 0.9667 | 0.9923 | 0.9713 | 0.9926 | 0.976 | 0.9688 | |
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| 0.0343 | 19.0 | 3553 | 0.0973 | 0.9576 | 0.9911 | 0.9762 | 0.9923 | 0.9733 | 0.9644 | |
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| 0.0343 | 20.0 | 3740 | 0.0733 | 0.9626 | 0.9905 | 0.9664 | 0.9906 | 0.9707 | 0.9642 | |
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| 0.0343 | 21.0 | 3927 | 0.0747 | 0.9789 | 0.9937 | 0.9701 | 0.9931 | 0.9787 | 0.9731 | |
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| 0.0359 | 22.0 | 4114 | 0.1891 | 0.9069 | 0.9794 | 0.9498 | 0.9825 | 0.9387 | 0.9164 | |
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| 0.0359 | 23.0 | 4301 | 0.0650 | 0.9773 | 0.9936 | 0.9703 | 0.9931 | 0.9787 | 0.9730 | |
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| 0.0359 | 24.0 | 4488 | 0.2470 | 0.8837 | 0.9741 | 0.9389 | 0.9781 | 0.9227 | 0.8924 | |
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| 0.0345 | 25.0 | 4675 | 0.0792 | 0.9619 | 0.9920 | 0.9784 | 0.9931 | 0.976 | 0.9681 | |
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| 0.0345 | 26.0 | 4862 | 0.1752 | 0.9323 | 0.9848 | 0.9610 | 0.9867 | 0.9547 | 0.9407 | |
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| 0.0329 | 27.0 | 5049 | 0.0451 | 0.9801 | 0.9939 | 0.9789 | 0.9937 | 0.9813 | 0.9794 | |
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| 0.0329 | 28.0 | 5236 | 0.0707 | 0.9786 | 0.9924 | 0.9708 | 0.9917 | 0.976 | 0.9740 | |
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| 0.0329 | 29.0 | 5423 | 0.1154 | 0.9594 | 0.9903 | 0.9706 | 0.9909 | 0.9707 | 0.9637 | |
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| 0.0206 | 30.0 | 5610 | 0.1213 | 0.9594 | 0.9903 | 0.9706 | 0.9909 | 0.9707 | 0.9637 | |
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| 0.0206 | 31.0 | 5797 | 0.0892 | 0.9652 | 0.9912 | 0.9708 | 0.9915 | 0.9733 | 0.9676 | |
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| 0.0206 | 32.0 | 5984 | 0.0765 | 0.9589 | 0.9895 | 0.9659 | 0.9898 | 0.968 | 0.9617 | |
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| 0.0208 | 33.0 | 6171 | 0.1340 | 0.9598 | 0.9911 | 0.9759 | 0.9921 | 0.9733 | 0.9658 | |
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| 0.0208 | 34.0 | 6358 | 0.0987 | 0.9572 | 0.9903 | 0.9708 | 0.9912 | 0.9707 | 0.9624 | |
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| 0.0242 | 35.0 | 6545 | 0.1154 | 0.9572 | 0.9903 | 0.9708 | 0.9912 | 0.9707 | 0.9624 | |
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| 0.0242 | 36.0 | 6732 | 0.3260 | 0.8859 | 0.9741 | 0.9382 | 0.9778 | 0.9227 | 0.8946 | |
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| 0.0242 | 37.0 | 6919 | 0.1599 | 0.9557 | 0.9892 | 0.9710 | 0.9901 | 0.968 | 0.9612 | |
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| 0.0218 | 38.0 | 7106 | 0.1251 | 0.9535 | 0.9893 | 0.9712 | 0.9904 | 0.968 | 0.9598 | |
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| 0.0218 | 39.0 | 7293 | 0.2713 | 0.9112 | 0.9803 | 0.9516 | 0.9832 | 0.9413 | 0.9206 | |
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| 0.0218 | 40.0 | 7480 | 0.1112 | 0.9598 | 0.9911 | 0.9759 | 0.9921 | 0.9733 | 0.9658 | |
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| 0.0175 | 41.0 | 7667 | 0.0745 | 0.9695 | 0.9921 | 0.9734 | 0.9923 | 0.976 | 0.9711 | |
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| 0.0175 | 42.0 | 7854 | 0.0876 | 0.9610 | 0.9904 | 0.9683 | 0.9908 | 0.9707 | 0.9640 | |
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| 0.02 | 43.0 | 8041 | 0.0901 | 0.9588 | 0.9904 | 0.9683 | 0.9910 | 0.9707 | 0.9626 | |
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| 0.02 | 44.0 | 8228 | 0.1402 | 0.9529 | 0.9894 | 0.9685 | 0.9904 | 0.968 | 0.9587 | |
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| 0.02 | 45.0 | 8415 | 0.1325 | 0.9572 | 0.9903 | 0.9708 | 0.9912 | 0.9707 | 0.9624 | |
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| 0.0163 | 46.0 | 8602 | 0.0987 | 0.9657 | 0.9921 | 0.9755 | 0.9927 | 0.976 | 0.9697 | |
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| 0.0163 | 47.0 | 8789 | 0.1056 | 0.9657 | 0.9921 | 0.9755 | 0.9927 | 0.976 | 0.9697 | |
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| 0.0163 | 48.0 | 8976 | 0.0599 | 0.9800 | 0.9948 | 0.9811 | 0.9949 | 0.984 | 0.9805 | |
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| 0.0091 | 49.0 | 9163 | 0.0611 | 0.9705 | 0.9929 | 0.9780 | 0.9934 | 0.9787 | 0.9735 | |
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| 0.0091 | 50.0 | 9350 | 0.0606 | 0.9757 | 0.9939 | 0.9784 | 0.9941 | 0.9813 | 0.9770 | |
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| 0.0123 | 51.0 | 9537 | 0.0622 | 0.9816 | 0.9949 | 0.9797 | 0.9948 | 0.984 | 0.9806 | |
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| 0.0123 | 52.0 | 9724 | 0.1036 | 0.9588 | 0.9904 | 0.9683 | 0.9910 | 0.9707 | 0.9626 | |
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| 0.0123 | 53.0 | 9911 | 0.0854 | 0.9715 | 0.9930 | 0.9758 | 0.9933 | 0.9787 | 0.9734 | |
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| 0.0076 | 54.0 | 10098 | 0.0600 | 0.9773 | 0.9940 | 0.9769 | 0.9940 | 0.9813 | 0.9771 | |
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| 0.0076 | 55.0 | 10285 | 0.1901 | 0.9429 | 0.9875 | 0.9674 | 0.9891 | 0.9627 | 0.9508 | |
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| 0.0076 | 56.0 | 10472 | 0.1208 | 0.9614 | 0.9912 | 0.9731 | 0.9919 | 0.9733 | 0.9660 | |
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| 0.0118 | 57.0 | 10659 | 0.2020 | 0.9386 | 0.9866 | 0.9654 | 0.9884 | 0.96 | 0.9469 | |
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| 0.0118 | 58.0 | 10846 | 0.0568 | 0.9806 | 0.9942 | 0.9749 | 0.9938 | 0.9813 | 0.9774 | |
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| 0.0161 | 59.0 | 11033 | 0.0507 | 0.9806 | 0.9942 | 0.9749 | 0.9938 | 0.9813 | 0.9774 | |
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| 0.0161 | 60.0 | 11220 | 0.0830 | 0.9757 | 0.9939 | 0.9784 | 0.9941 | 0.9813 | 0.9770 | |
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| 0.0161 | 61.0 | 11407 | 0.0931 | 0.9757 | 0.9939 | 0.9784 | 0.9941 | 0.9813 | 0.9770 | |
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| 0.0086 | 62.0 | 11594 | 0.1000 | 0.9715 | 0.9930 | 0.9758 | 0.9933 | 0.9787 | 0.9734 | |
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| 0.0086 | 63.0 | 11781 | 0.1215 | 0.9588 | 0.9904 | 0.9683 | 0.9910 | 0.9707 | 0.9626 | |
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| 0.0086 | 64.0 | 11968 | 0.0695 | 0.9858 | 0.9958 | 0.9825 | 0.9956 | 0.9867 | 0.9841 | |
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| 0.0048 | 65.0 | 12155 | 0.0747 | 0.9752 | 0.9941 | 0.9767 | 0.9942 | 0.9813 | 0.9759 | |
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| 0.0048 | 66.0 | 12342 | 0.0733 | 0.9795 | 0.9940 | 0.9772 | 0.9938 | 0.9813 | 0.9783 | |
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| 0.0066 | 67.0 | 12529 | 0.1429 | 0.9551 | 0.9894 | 0.9683 | 0.9902 | 0.968 | 0.9601 | |
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| 0.0066 | 68.0 | 12716 | 0.1146 | 0.9673 | 0.9922 | 0.9733 | 0.9925 | 0.976 | 0.9699 | |
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| 0.0066 | 69.0 | 12903 | 0.1022 | 0.9737 | 0.9930 | 0.9760 | 0.9931 | 0.9787 | 0.9747 | |
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| 0.0068 | 70.0 | 13090 | 0.0850 | 0.9789 | 0.9941 | 0.9757 | 0.9939 | 0.9813 | 0.9772 | |
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| 0.0068 | 71.0 | 13277 | 0.1619 | 0.9509 | 0.9885 | 0.9660 | 0.9894 | 0.9653 | 0.9564 | |
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| 0.0068 | 72.0 | 13464 | 0.1334 | 0.9636 | 0.9911 | 0.9730 | 0.9917 | 0.9733 | 0.9674 | |
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| 0.0046 | 73.0 | 13651 | 0.1099 | 0.9636 | 0.9911 | 0.9730 | 0.9917 | 0.9733 | 0.9674 | |
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| 0.0046 | 74.0 | 13838 | 0.2110 | 0.9493 | 0.9884 | 0.9691 | 0.9896 | 0.9653 | 0.9561 | |
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| 0.0087 | 75.0 | 14025 | 0.1417 | 0.9572 | 0.9903 | 0.9708 | 0.9912 | 0.9707 | 0.9624 | |
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| 0.0087 | 76.0 | 14212 | 0.2051 | 0.9471 | 0.9884 | 0.9695 | 0.9899 | 0.9653 | 0.9546 | |
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| 0.0087 | 77.0 | 14399 | 0.1403 | 0.9641 | 0.9920 | 0.9781 | 0.9928 | 0.976 | 0.9694 | |
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| 0.0061 | 78.0 | 14586 | 0.2232 | 0.9408 | 0.9866 | 0.9650 | 0.9882 | 0.96 | 0.9485 | |
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| 0.0061 | 79.0 | 14773 | 0.0962 | 0.9757 | 0.9939 | 0.9784 | 0.9941 | 0.9813 | 0.9770 | |
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| 0.0061 | 80.0 | 14960 | 0.1113 | 0.9683 | 0.9928 | 0.9803 | 0.9936 | 0.9787 | 0.9731 | |
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| 0.0076 | 81.0 | 15147 | 0.1090 | 0.9683 | 0.9928 | 0.9803 | 0.9936 | 0.9787 | 0.9731 | |
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| 0.0076 | 82.0 | 15334 | 0.0826 | 0.9741 | 0.9938 | 0.9803 | 0.9942 | 0.9813 | 0.9768 | |
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| 0.0023 | 83.0 | 15521 | 0.0644 | 0.9832 | 0.9950 | 0.9787 | 0.9947 | 0.984 | 0.9807 | |
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| 0.0023 | 84.0 | 15708 | 0.0605 | 0.9832 | 0.9950 | 0.9787 | 0.9947 | 0.984 | 0.9807 | |
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| 0.0023 | 85.0 | 15895 | 0.1132 | 0.9594 | 0.9903 | 0.9706 | 0.9909 | 0.9707 | 0.9637 | |
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| 0.0061 | 86.0 | 16082 | 0.0592 | 0.9773 | 0.9940 | 0.9769 | 0.9940 | 0.9813 | 0.9771 | |
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| 0.0061 | 87.0 | 16269 | 0.1200 | 0.9657 | 0.9921 | 0.9755 | 0.9927 | 0.976 | 0.9697 | |
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| 0.0061 | 88.0 | 16456 | 0.1636 | 0.9578 | 0.9902 | 0.9734 | 0.9911 | 0.9707 | 0.9635 | |
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| 0.0011 | 89.0 | 16643 | 0.1011 | 0.9699 | 0.9929 | 0.9779 | 0.9934 | 0.9787 | 0.9733 | |
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| 0.0011 | 90.0 | 16830 | 0.1491 | 0.9598 | 0.9911 | 0.9759 | 0.9921 | 0.9733 | 0.9658 | |
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| 0.0012 | 91.0 | 17017 | 0.1201 | 0.9657 | 0.9921 | 0.9755 | 0.9927 | 0.976 | 0.9697 | |
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| 0.0012 | 92.0 | 17204 | 0.0848 | 0.9657 | 0.9921 | 0.9755 | 0.9927 | 0.976 | 0.9697 | |
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| 0.0012 | 93.0 | 17391 | 0.0739 | 0.9757 | 0.9939 | 0.9784 | 0.9941 | 0.9813 | 0.9770 | |
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| 0.0014 | 94.0 | 17578 | 0.0755 | 0.9757 | 0.9939 | 0.9784 | 0.9941 | 0.9813 | 0.9770 | |
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| 0.0014 | 95.0 | 17765 | 0.1235 | 0.9657 | 0.9921 | 0.9755 | 0.9927 | 0.976 | 0.9697 | |
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| 0.0014 | 96.0 | 17952 | 0.1216 | 0.9657 | 0.9921 | 0.9755 | 0.9927 | 0.976 | 0.9697 | |
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| 0.0017 | 97.0 | 18139 | 0.1223 | 0.9657 | 0.9921 | 0.9755 | 0.9927 | 0.976 | 0.9697 | |
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| 0.0017 | 98.0 | 18326 | 0.1069 | 0.9657 | 0.9921 | 0.9755 | 0.9927 | 0.976 | 0.9697 | |
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| 0.0035 | 99.0 | 18513 | 0.1174 | 0.9657 | 0.9921 | 0.9755 | 0.9927 | 0.976 | 0.9697 | |
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| 0.0035 | 100.0 | 18700 | 0.1179 | 0.9657 | 0.9921 | 0.9755 | 0.9927 | 0.976 | 0.9697 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
