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@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [oskrmiguel/mt5-simplification-spanish](https://huggingface.co/oskrmiguel/mt5-simplification-spanish) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.9083
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- - Rouge1: 35.2263
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- - Rouge2: 20.7728
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- - Rougel: 32.4698
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- - Rougelsum: 32.4845
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  ## Model description
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@@ -52,36 +52,36 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
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- | No log | 1.0 | 190 | 2.6428 | 33.7861 | 19.4898 | 31.2141 | 31.2447 |
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- | No log | 2.0 | 380 | 2.4328 | 34.2352 | 20.1415 | 31.6644 | 31.697 |
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- | 3.325 | 3.0 | 570 | 2.3247 | 34.3343 | 20.2163 | 31.7874 | 31.7841 |
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- | 3.325 | 4.0 | 760 | 2.2301 | 34.5632 | 20.3394 | 31.8426 | 31.8873 |
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- | 2.7484 | 5.0 | 950 | 2.1732 | 34.7905 | 20.4942 | 32.0533 | 32.0942 |
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- | 2.7484 | 6.0 | 1140 | 2.1353 | 34.2257 | 19.9015 | 31.4218 | 31.4776 |
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- | 2.7484 | 7.0 | 1330 | 2.0828 | 34.4961 | 20.057 | 31.6945 | 31.7443 |
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- | 2.5347 | 8.0 | 1520 | 2.0622 | 34.1633 | 19.8438 | 31.399 | 31.438 |
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- | 2.5347 | 9.0 | 1710 | 2.0320 | 34.4597 | 19.9663 | 31.6203 | 31.6516 |
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- | 2.3932 | 10.0 | 1900 | 2.0313 | 34.4905 | 19.9695 | 31.566 | 31.6371 |
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- | 2.3932 | 11.0 | 2090 | 2.0129 | 34.4717 | 19.9244 | 31.5588 | 31.6196 |
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- | 2.3932 | 12.0 | 2280 | 1.9950 | 34.3552 | 19.8935 | 31.5131 | 31.5504 |
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- | 2.3037 | 13.0 | 2470 | 1.9778 | 34.6241 | 20.0316 | 31.7272 | 31.77 |
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- | 2.3037 | 14.0 | 2660 | 1.9638 | 34.7478 | 20.3859 | 31.9623 | 31.9955 |
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- | 2.2257 | 15.0 | 2850 | 1.9557 | 34.6825 | 20.1623 | 31.8523 | 31.8749 |
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- | 2.2257 | 16.0 | 3040 | 1.9513 | 34.4658 | 19.9559 | 31.6319 | 31.6877 |
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- | 2.2257 | 17.0 | 3230 | 1.9404 | 34.6868 | 20.1993 | 31.85 | 31.8748 |
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- | 2.1687 | 18.0 | 3420 | 1.9365 | 34.6169 | 20.1526 | 31.8253 | 31.8654 |
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- | 2.1687 | 19.0 | 3610 | 1.9312 | 34.6954 | 20.2484 | 31.9573 | 31.9893 |
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- | 2.1334 | 20.0 | 3800 | 1.9261 | 34.9266 | 20.3952 | 32.138 | 32.1738 |
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- | 2.1334 | 21.0 | 3990 | 1.9246 | 34.8133 | 20.3369 | 32.0682 | 32.1003 |
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- | 2.1334 | 22.0 | 4180 | 1.9221 | 35.0523 | 20.4264 | 32.246 | 32.2512 |
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- | 2.1 | 23.0 | 4370 | 1.9149 | 34.9609 | 20.5396 | 32.2679 | 32.2812 |
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- | 2.1 | 24.0 | 4560 | 1.9111 | 34.9344 | 20.4496 | 32.1974 | 32.225 |
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- | 2.0764 | 25.0 | 4750 | 1.9101 | 34.9992 | 20.5387 | 32.234 | 32.2748 |
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- | 2.0764 | 26.0 | 4940 | 1.9096 | 35.0955 | 20.5803 | 32.3412 | 32.3685 |
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- | 2.0764 | 27.0 | 5130 | 1.9098 | 35.1624 | 20.6756 | 32.3875 | 32.4152 |
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- | 2.0584 | 28.0 | 5320 | 1.9085 | 35.1501 | 20.6773 | 32.3732 | 32.4008 |
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- | 2.0584 | 29.0 | 5510 | 1.9085 | 35.2332 | 20.7728 | 32.4752 | 32.4952 |
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- | 2.0544 | 30.0 | 5700 | 1.9083 | 35.2263 | 20.7728 | 32.4698 | 32.4845 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [oskrmiguel/mt5-simplification-spanish](https://huggingface.co/oskrmiguel/mt5-simplification-spanish) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.9829
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+ - Rouge1: 33.5827
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+ - Rouge2: 19.3568
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+ - Rougel: 30.9427
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+ - Rougelsum: 30.922
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
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+ | No log | 1.0 | 190 | 2.6879 | 31.8425 | 17.5967 | 29.0762 | 29.1474 |
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+ | No log | 2.0 | 380 | 2.4770 | 32.6054 | 18.6606 | 30.0148 | 30.0565 |
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+ | 3.3044 | 3.0 | 570 | 2.3618 | 32.873 | 18.9033 | 30.2114 | 30.2842 |
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+ | 3.3044 | 4.0 | 760 | 2.2842 | 33.0173 | 18.9165 | 30.2803 | 30.3708 |
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+ | 2.7475 | 5.0 | 950 | 2.2176 | 32.769 | 18.6209 | 30.1211 | 30.1858 |
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+ | 2.7475 | 6.0 | 1140 | 2.1974 | 32.8461 | 18.7023 | 30.1932 | 30.2432 |
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+ | 2.7475 | 7.0 | 1330 | 2.1625 | 32.8013 | 18.7017 | 30.1099 | 30.1752 |
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+ | 2.5234 | 8.0 | 1520 | 2.1315 | 33.0317 | 18.8095 | 30.3504 | 30.394 |
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+ | 2.5234 | 9.0 | 1710 | 2.1086 | 33.2546 | 18.9599 | 30.5465 | 30.5782 |
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+ | 2.3775 | 10.0 | 1900 | 2.0830 | 33.2349 | 18.8346 | 30.4815 | 30.524 |
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+ | 2.3775 | 11.0 | 2090 | 2.0655 | 33.1573 | 18.9358 | 30.4626 | 30.4931 |
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+ | 2.3775 | 12.0 | 2280 | 2.0599 | 33.2281 | 19.0066 | 30.5592 | 30.5896 |
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+ | 2.2837 | 13.0 | 2470 | 2.0464 | 33.2839 | 19.1136 | 30.7237 | 30.7471 |
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+ | 2.2837 | 14.0 | 2660 | 2.0343 | 33.4208 | 19.0347 | 30.6897 | 30.7073 |
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+ | 2.2132 | 15.0 | 2850 | 2.0351 | 33.4278 | 19.0579 | 30.7056 | 30.7218 |
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+ | 2.2132 | 16.0 | 3040 | 2.0276 | 33.541 | 19.1772 | 30.8324 | 30.8551 |
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+ | 2.2132 | 17.0 | 3230 | 2.0122 | 33.455 | 19.1121 | 30.79 | 30.8033 |
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+ | 2.1561 | 18.0 | 3420 | 2.0124 | 33.3712 | 19.1315 | 30.7892 | 30.8023 |
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+ | 2.1561 | 19.0 | 3610 | 2.0098 | 33.5589 | 19.2569 | 30.86 | 30.8629 |
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+ | 2.1136 | 20.0 | 3800 | 2.0018 | 33.4333 | 19.124 | 30.7894 | 30.8035 |
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+ | 2.1136 | 21.0 | 3990 | 1.9954 | 33.5845 | 19.2881 | 30.9155 | 30.9167 |
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+ | 2.1136 | 22.0 | 4180 | 1.9947 | 33.6133 | 19.3605 | 30.9736 | 30.9831 |
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+ | 2.0851 | 23.0 | 4370 | 1.9924 | 33.6015 | 19.3226 | 30.9673 | 30.9695 |
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+ | 2.0851 | 24.0 | 4560 | 1.9861 | 33.7693 | 19.3866 | 31.0921 | 31.0837 |
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+ | 2.0569 | 25.0 | 4750 | 1.9851 | 33.7423 | 19.431 | 31.0085 | 31.0119 |
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+ | 2.0569 | 26.0 | 4940 | 1.9865 | 33.6365 | 19.3494 | 30.9259 | 30.9263 |
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+ | 2.0569 | 27.0 | 5130 | 1.9864 | 33.6976 | 19.3426 | 30.9851 | 30.9756 |
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+ | 2.0421 | 28.0 | 5320 | 1.9843 | 33.6246 | 19.3228 | 30.9379 | 30.9345 |
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+ | 2.0421 | 29.0 | 5510 | 1.9835 | 33.5947 | 19.3477 | 30.912 | 30.9164 |
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+ | 2.0319 | 30.0 | 5700 | 1.9829 | 33.5827 | 19.3568 | 30.9427 | 30.922 |
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  ### Framework versions