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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: 4.0687
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- - Rouge1: 41.588
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- - Rouge2: 23.5096
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- - Rougel: 35.9281
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- - Rougelsum: 36.128
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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 | 2.3804 | 41.7652 | 24.3329 | 36.7515 | 36.8694 |
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- | No log | 2.0 | 380 | 2.3417 | 41.586 | 23.679 | 35.8653 | 36.065 |
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- | 1.9588 | 3.0 | 570 | 2.4777 | 40.954 | 23.0312 | 35.4667 | 35.7321 |
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- | 1.9588 | 4.0 | 760 | 2.8230 | 41.387 | 23.4641 | 35.9558 | 36.1302 |
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- | 0.6288 | 5.0 | 950 | 3.0836 | 40.7233 | 22.4476 | 34.852 | 35.1656 |
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- | 0.6288 | 6.0 | 1140 | 3.2078 | 40.8334 | 22.4327 | 35.0436 | 35.2623 |
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- | 0.6288 | 7.0 | 1330 | 3.3649 | 40.6737 | 22.4294 | 34.5433 | 34.9343 |
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- | 0.1473 | 8.0 | 1520 | 3.4503 | 40.8818 | 22.6808 | 34.6777 | 34.9179 |
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- | 0.1473 | 9.0 | 1710 | 3.5140 | 40.4208 | 22.2582 | 34.5103 | 34.8161 |
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- | 0.0706 | 10.0 | 1900 | 3.5805 | 40.6348 | 22.4714 | 34.6782 | 34.9531 |
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- | 0.0706 | 11.0 | 2090 | 3.6325 | 40.932 | 22.4958 | 34.7695 | 35.0314 |
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- | 0.0706 | 12.0 | 2280 | 3.6405 | 40.619 | 22.406 | 34.9997 | 35.3007 |
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- | 0.0401 | 13.0 | 2470 | 3.7279 | 40.7365 | 22.2549 | 34.6789 | 34.9794 |
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- | 0.0401 | 14.0 | 2660 | 3.7440 | 41.1684 | 23.1526 | 35.4117 | 35.7039 |
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- | 0.0277 | 15.0 | 2850 | 3.8185 | 41.3103 | 23.52 | 35.5945 | 35.9176 |
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- | 0.0277 | 16.0 | 3040 | 3.8215 | 40.5096 | 22.3435 | 34.7064 | 35.0037 |
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- | 0.0277 | 17.0 | 3230 | 3.8925 | 41.3644 | 23.2827 | 35.3861 | 35.6649 |
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- | 0.0172 | 18.0 | 3420 | 3.8594 | 41.6572 | 23.574 | 35.5946 | 35.8383 |
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- | 0.0172 | 19.0 | 3610 | 3.9191 | 41.4862 | 23.2408 | 35.5638 | 35.7895 |
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- | 0.0087 | 20.0 | 3800 | 3.8776 | 41.8812 | 23.6052 | 35.9983 | 36.2555 |
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- | 0.0087 | 21.0 | 3990 | 3.9526 | 42.0435 | 23.6758 | 36.0881 | 36.3736 |
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- | 0.0087 | 22.0 | 4180 | 3.9847 | 41.7187 | 23.5729 | 36.0514 | 36.3019 |
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- | 0.0036 | 23.0 | 4370 | 3.9939 | 41.6098 | 23.3451 | 35.779 | 35.9889 |
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- | 0.0036 | 24.0 | 4560 | 4.0194 | 41.1443 | 23.1271 | 35.6529 | 35.808 |
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- | 0.002 | 25.0 | 4750 | 4.0231 | 41.5422 | 23.5603 | 35.8412 | 36.0677 |
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- | 0.002 | 26.0 | 4940 | 4.0439 | 41.5561 | 23.5496 | 35.8154 | 36.0846 |
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- | 0.002 | 27.0 | 5130 | 4.0554 | 41.6566 | 23.4052 | 35.8392 | 36.0672 |
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- | 0.0014 | 28.0 | 5320 | 4.0610 | 41.6654 | 23.5138 | 35.9715 | 36.1973 |
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- | 0.0014 | 29.0 | 5510 | 4.0658 | 41.5467 | 23.464 | 35.7852 | 36.0226 |
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- | 0.0011 | 30.0 | 5700 | 4.0687 | 41.588 | 23.5096 | 35.9281 | 36.128 |
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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: 3.9057
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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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  | 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