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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: 3.9057
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- - Rouge1: 42.95
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- - Rouge2: 25.0723
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- - Rougel: 37.2284
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- - Rougelsum: 37.4108
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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 | 2.3414 | 43.7897 | 26.2425 | 38.9086 | 39.008 |
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- | No log | 2.0 | 380 | 2.2643 | 43.4405 | 25.7853 | 38.1518 | 38.2557 |
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- | 1.9735 | 3.0 | 570 | 2.4113 | 43.4995 | 25.1779 | 37.7618 | 37.9595 |
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- | 1.9735 | 4.0 | 760 | 2.7004 | 42.0036 | 24.047 | 36.5336 | 36.7664 |
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- | 0.6408 | 5.0 | 950 | 2.9586 | 41.8069 | 23.6367 | 36.3269 | 36.5056 |
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- | 0.6408 | 6.0 | 1140 | 3.1080 | 41.8371 | 23.642 | 36.1564 | 36.3078 |
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- | 0.6408 | 7.0 | 1330 | 3.2726 | 42.3235 | 24.2008 | 37.0406 | 37.1691 |
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- | 0.1531 | 8.0 | 1520 | 3.3517 | 42.5189 | 24.1191 | 36.4465 | 36.5708 |
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- | 0.1531 | 9.0 | 1710 | 3.4220 | 42.1127 | 24.0677 | 36.6611 | 36.8355 |
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- | 0.0721 | 10.0 | 1900 | 3.4492 | 42.1663 | 23.9159 | 36.3999 | 36.6208 |
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- | 0.0721 | 11.0 | 2090 | 3.5079 | 42.8724 | 24.8006 | 37.4505 | 37.5591 |
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- | 0.0721 | 12.0 | 2280 | 3.5486 | 42.2976 | 24.564 | 36.8161 | 37.0376 |
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- | 0.0408 | 13.0 | 2470 | 3.5998 | 42.2069 | 23.8971 | 36.3343 | 36.5617 |
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- | 0.0408 | 14.0 | 2660 | 3.6203 | 42.7215 | 24.4887 | 37.0213 | 37.2183 |
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- | 0.0274 | 15.0 | 2850 | 3.6365 | 41.9837 | 24.0759 | 36.5623 | 36.7712 |
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- | 0.0274 | 16.0 | 3040 | 3.6854 | 42.5647 | 24.0408 | 36.513 | 36.6838 |
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- | 0.0274 | 17.0 | 3230 | 3.7172 | 43.0822 | 24.9642 | 37.5234 | 37.6371 |
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- | 0.0157 | 18.0 | 3420 | 3.7173 | 42.3954 | 24.7339 | 36.739 | 36.9017 |
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- | 0.0157 | 19.0 | 3610 | 3.7792 | 42.6428 | 24.3462 | 36.8589 | 37.0261 |
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- | 0.0092 | 20.0 | 3800 | 3.7623 | 42.3952 | 24.3361 | 36.8215 | 36.9682 |
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- | 0.0092 | 21.0 | 3990 | 3.7803 | 42.8677 | 24.6777 | 37.1711 | 37.2935 |
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- | 0.0092 | 22.0 | 4180 | 3.7881 | 42.6396 | 24.5553 | 37.0747 | 37.1843 |
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- | 0.0045 | 23.0 | 4370 | 3.8352 | 42.9274 | 24.926 | 37.1352 | 37.3077 |
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- | 0.0045 | 24.0 | 4560 | 3.8511 | 42.6619 | 24.7791 | 36.8988 | 37.031 |
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- | 0.0022 | 25.0 | 4750 | 3.8722 | 42.5198 | 24.6532 | 36.9218 | 37.0721 |
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- | 0.0022 | 26.0 | 4940 | 3.8884 | 42.7552 | 24.8073 | 37.0872 | 37.2482 |
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- | 0.0022 | 27.0 | 5130 | 3.8911 | 43.0905 | 25.019 | 37.3211 | 37.5221 |
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- | 0.0014 | 28.0 | 5320 | 3.8984 | 43.0563 | 25.0523 | 37.1384 | 37.3154 |
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- | 0.0014 | 29.0 | 5510 | 3.9043 | 43.0463 | 25.1287 | 37.3039 | 37.4815 |
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- | 0.0011 | 30.0 | 5700 | 3.9057 | 42.95 | 25.0723 | 37.2284 | 37.4108 |
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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: 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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  | 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