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marimari-r2r-mlsum

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@@ -16,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [IIC/marimari-r2r-mlsum](https://huggingface.co/IIC/marimari-r2r-mlsum) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 4.0349
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- - Rouge1: 41.9807
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- - Rouge2: 23.4348
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- - Rougel: 36.2357
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- - Rougelsum: 36.4578
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  ## Model description
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@@ -51,36 +51,36 @@ 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 | 2.3828 | 40.7572 | 22.8702 | 35.4592 | 35.6861 |
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- | No log | 2.0 | 380 | 2.3659 | 41.8653 | 23.3526 | 35.9328 | 36.1682 |
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- | 1.9609 | 3.0 | 570 | 2.4860 | 41.6193 | 23.156 | 36.0231 | 36.2374 |
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- | 1.9609 | 4.0 | 760 | 2.7753 | 41.3459 | 22.9499 | 35.5289 | 35.783 |
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- | 0.635 | 5.0 | 950 | 3.0566 | 40.9021 | 22.4165 | 34.5554 | 34.8996 |
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- | 0.635 | 6.0 | 1140 | 3.2274 | 40.1669 | 21.5348 | 34.3353 | 34.574 |
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- | 0.635 | 7.0 | 1330 | 3.3525 | 40.2087 | 21.811 | 34.3216 | 34.5526 |
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- | 0.1515 | 8.0 | 1520 | 3.4560 | 40.6846 | 22.3056 | 34.6331 | 34.85 |
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- | 0.1515 | 9.0 | 1710 | 3.5002 | 40.8093 | 21.8586 | 34.4497 | 34.6805 |
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- | 0.0718 | 10.0 | 1900 | 3.5516 | 40.8573 | 22.431 | 34.704 | 35.0702 |
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- | 0.0718 | 11.0 | 2090 | 3.6262 | 40.3063 | 21.7805 | 34.4893 | 34.777 |
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- | 0.0718 | 12.0 | 2280 | 3.6619 | 41.1013 | 22.0836 | 34.954 | 35.2003 |
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- | 0.0416 | 13.0 | 2470 | 3.7093 | 41.0958 | 22.3508 | 35.1756 | 35.4865 |
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- | 0.0416 | 14.0 | 2660 | 3.7258 | 41.0239 | 22.7467 | 35.0922 | 35.2845 |
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- | 0.0267 | 15.0 | 2850 | 3.7749 | 41.0845 | 22.597 | 34.8542 | 35.1199 |
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- | 0.0267 | 16.0 | 3040 | 3.7907 | 40.6025 | 22.064 | 34.8445 | 35.0835 |
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- | 0.0267 | 17.0 | 3230 | 3.8130 | 40.5356 | 21.9421 | 34.3894 | 34.6313 |
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- | 0.0156 | 18.0 | 3420 | 3.8927 | 40.7745 | 22.134 | 34.6977 | 34.9953 |
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- | 0.0156 | 19.0 | 3610 | 3.8519 | 41.2001 | 22.7003 | 35.2839 | 35.589 |
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- | 0.0088 | 20.0 | 3800 | 3.8726 | 41.519 | 22.6587 | 35.4455 | 35.733 |
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- | 0.0088 | 21.0 | 3990 | 3.9053 | 42.0133 | 23.2539 | 36.1228 | 36.3638 |
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- | 0.0088 | 22.0 | 4180 | 3.9286 | 41.4078 | 22.8698 | 35.2215 | 35.5399 |
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- | 0.0041 | 23.0 | 4370 | 3.9427 | 42.0529 | 23.2402 | 36.3403 | 36.5912 |
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- | 0.0041 | 24.0 | 4560 | 3.9757 | 42.0977 | 23.5669 | 36.2816 | 36.5656 |
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- | 0.0025 | 25.0 | 4750 | 3.9877 | 42.1097 | 23.569 | 36.2351 | 36.5159 |
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- | 0.0025 | 26.0 | 4940 | 4.0044 | 42.1088 | 23.5312 | 36.2798 | 36.5474 |
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- | 0.0025 | 27.0 | 5130 | 4.0186 | 42.1143 | 23.4704 | 36.1246 | 36.3698 |
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- | 0.0013 | 28.0 | 5320 | 4.0263 | 42.2103 | 23.5145 | 36.2656 | 36.5184 |
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- | 0.0013 | 29.0 | 5510 | 4.0329 | 41.9799 | 23.5028 | 36.1751 | 36.4119 |
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- | 0.0011 | 30.0 | 5700 | 4.0349 | 41.9807 | 23.4348 | 36.2357 | 36.4578 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [IIC/marimari-r2r-mlsum](https://huggingface.co/IIC/marimari-r2r-mlsum) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.9618
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+ - Rouge1: 42.6764
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+ - Rouge2: 24.4569
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+ - Rougel: 37.0033
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+ - Rougelsum: 37.1595
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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 | 2.3970 | 40.7426 | 23.212 | 35.7093 | 35.8437 |
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+ | No log | 2.0 | 380 | 2.3165 | 42.5676 | 24.6494 | 37.1225 | 37.2619 |
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+ | 1.9699 | 3.0 | 570 | 2.4711 | 42.0346 | 23.7633 | 36.3472 | 36.4433 |
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+ | 1.9699 | 4.0 | 760 | 2.7339 | 41.1717 | 22.8419 | 35.3263 | 35.4823 |
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+ | 0.6485 | 5.0 | 950 | 2.9593 | 40.714 | 22.6931 | 34.8859 | 35.0647 |
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+ | 0.6485 | 6.0 | 1140 | 3.1316 | 41.3218 | 23.2054 | 35.3103 | 35.5063 |
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+ | 0.6485 | 7.0 | 1330 | 3.2542 | 41.2786 | 23.4853 | 35.8236 | 35.972 |
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+ | 0.1529 | 8.0 | 1520 | 3.3470 | 41.2991 | 22.8385 | 35.0524 | 35.2153 |
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+ | 0.1529 | 9.0 | 1710 | 3.4324 | 41.3838 | 23.1045 | 35.3472 | 35.5779 |
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+ | 0.0719 | 10.0 | 1900 | 3.5187 | 42.0833 | 23.8538 | 36.3282 | 36.5294 |
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+ | 0.0719 | 11.0 | 2090 | 3.5527 | 41.2993 | 23.0323 | 35.3116 | 35.4687 |
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+ | 0.0719 | 12.0 | 2280 | 3.6624 | 41.6524 | 23.8925 | 35.9281 | 36.1012 |
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+ | 0.0393 | 13.0 | 2470 | 3.6536 | 41.188 | 23.2066 | 35.371 | 35.5616 |
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+ | 0.0393 | 14.0 | 2660 | 3.6656 | 40.8222 | 22.5651 | 35.0515 | 35.1399 |
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+ | 0.0266 | 15.0 | 2850 | 3.7349 | 41.844 | 23.7839 | 36.102 | 36.3169 |
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+ | 0.0266 | 16.0 | 3040 | 3.7254 | 41.5535 | 23.3996 | 35.9619 | 36.0981 |
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+ | 0.0266 | 17.0 | 3230 | 3.7919 | 41.5683 | 23.2824 | 36.0855 | 36.2475 |
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+ | 0.0151 | 18.0 | 3420 | 3.8152 | 42.1272 | 24.0548 | 36.5784 | 36.785 |
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+ | 0.0151 | 19.0 | 3610 | 3.8213 | 41.9185 | 23.5975 | 36.1182 | 36.3194 |
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+ | 0.0087 | 20.0 | 3800 | 3.8501 | 41.3409 | 23.0081 | 35.7662 | 35.9451 |
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+ | 0.0087 | 21.0 | 3990 | 3.8690 | 41.9496 | 23.7032 | 36.0116 | 36.1843 |
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+ | 0.0087 | 22.0 | 4180 | 3.8809 | 42.5366 | 24.6413 | 37.2644 | 37.459 |
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+ | 0.0044 | 23.0 | 4370 | 3.8865 | 42.4346 | 24.2278 | 36.7284 | 36.8846 |
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+ | 0.0044 | 24.0 | 4560 | 3.9044 | 42.9781 | 24.8423 | 37.3582 | 37.4807 |
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+ | 0.0024 | 25.0 | 4750 | 3.9138 | 42.6738 | 24.4737 | 36.8959 | 37.0031 |
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+ | 0.0024 | 26.0 | 4940 | 3.9361 | 42.5267 | 24.4155 | 36.8414 | 36.9915 |
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+ | 0.0024 | 27.0 | 5130 | 3.9477 | 42.4844 | 24.5483 | 36.8857 | 37.0219 |
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+ | 0.0013 | 28.0 | 5320 | 3.9561 | 42.7199 | 24.5977 | 37.1206 | 37.2374 |
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+ | 0.0013 | 29.0 | 5510 | 3.9599 | 42.7088 | 24.4474 | 37.0513 | 37.1971 |
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+ | 0.001 | 30.0 | 5700 | 3.9618 | 42.6764 | 24.4569 | 37.0033 | 37.1595 |
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  ### Framework versions