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mt5-simplification-spanish

Text2Text Generation
Transformers
PyTorch
TensorBoard
mt5
simplification
generated_from_trainer
Inference Endpoints
text-generation-inference
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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: 1.9829
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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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@@ -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 | 2.6879 | 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
 
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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: 1.9610
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+ - Rouge1: 33.7922
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+ - Rouge2: 19.5758
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+ - Rougel: 31.3737
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+ - Rougelsum: 31.3428
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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 | 2.6876 | 32.236 | 18.2352 | 29.7852 | 29.7539 |
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+ | No log | 2.0 | 380 | 2.4617 | 32.8521 | 18.9712 | 30.4958 | 30.4635 |
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+ | 3.3018 | 3.0 | 570 | 2.3487 | 33.2554 | 19.3441 | 30.9036 | 30.8525 |
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+ | 3.3018 | 4.0 | 760 | 2.2711 | 33.0105 | 19.01 | 30.6851 | 30.5767 |
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+ | 2.7431 | 5.0 | 950 | 2.2254 | 33.1301 | 18.9618 | 30.6744 | 30.6284 |
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+ | 2.7431 | 6.0 | 1140 | 2.1847 | 33.3701 | 19.1884 | 30.9138 | 30.8611 |
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+ | 2.7431 | 7.0 | 1330 | 2.1443 | 33.3158 | 19.101 | 30.8317 | 30.7747 |
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+ | 2.5154 | 8.0 | 1520 | 2.1072 | 33.1638 | 19.0139 | 30.7295 | 30.7162 |
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+ | 2.5154 | 9.0 | 1710 | 2.0989 | 33.4925 | 19.2107 | 31.0253 | 30.9908 |
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+ | 2.3763 | 10.0 | 1900 | 2.0709 | 33.3007 | 18.9519 | 30.847 | 30.8018 |
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+ | 2.3763 | 11.0 | 2090 | 2.0631 | 33.4689 | 19.1995 | 31.0712 | 31.0327 |
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+ | 2.3763 | 12.0 | 2280 | 2.0418 | 33.2536 | 19.027 | 30.898 | 30.8695 |
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+ | 2.2811 | 13.0 | 2470 | 2.0345 | 33.5097 | 19.2219 | 31.1057 | 31.0683 |
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+ | 2.2811 | 14.0 | 2660 | 2.0185 | 33.3544 | 19.1241 | 30.913 | 30.8873 |
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+ | 2.2173 | 15.0 | 2850 | 2.0138 | 33.3856 | 19.2065 | 31.0173 | 30.9447 |
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+ | 2.2173 | 16.0 | 3040 | 2.0019 | 33.4035 | 19.1803 | 31.0154 | 30.981 |
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+ | 2.2173 | 17.0 | 3230 | 1.9977 | 33.4059 | 19.3078 | 31.1196 | 31.0692 |
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+ | 2.1612 | 18.0 | 3420 | 1.9883 | 33.5097 | 19.3637 | 31.0966 | 31.0554 |
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+ | 2.1612 | 19.0 | 3610 | 1.9828 | 33.4965 | 19.2754 | 31.1267 | 31.1021 |
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+ | 2.1115 | 20.0 | 3800 | 1.9834 | 33.7514 | 19.5325 | 31.2833 | 31.2418 |
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+ | 2.1115 | 21.0 | 3990 | 1.9754 | 33.6193 | 19.429 | 31.2721 | 31.2267 |
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+ | 2.1115 | 22.0 | 4180 | 1.9716 | 33.5212 | 19.3637 | 31.1326 | 31.1162 |
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+ | 2.0824 | 23.0 | 4370 | 1.9667 | 33.5156 | 19.3223 | 31.1023 | 31.0709 |
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+ | 2.0824 | 24.0 | 4560 | 1.9735 | 33.6089 | 19.3842 | 31.1539 | 31.1419 |
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+ | 2.0657 | 25.0 | 4750 | 1.9674 | 33.6317 | 19.4044 | 31.2361 | 31.2222 |
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+ | 2.0657 | 26.0 | 4940 | 1.9617 | 33.745 | 19.5099 | 31.3061 | 31.2643 |
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+ | 2.0657 | 27.0 | 5130 | 1.9613 | 33.7798 | 19.5496 | 31.3761 | 31.3356 |
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+ | 2.0511 | 28.0 | 5320 | 1.9635 | 33.8568 | 19.594 | 31.4454 | 31.4141 |
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+ | 2.0511 | 29.0 | 5510 | 1.9609 | 33.805 | 19.5962 | 31.393 | 31.3493 |
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+ | 2.0377 | 30.0 | 5700 | 1.9610 | 33.7922 | 19.5758 | 31.3737 | 31.3428 |
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  ### Framework versions