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mbart-large-50

Text2Text Generation
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mbart
simplification
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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 [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.0225
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- - Rouge1: 49.9329
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- - Rouge2: 32.1002
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- - Rougel: 45.0246
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- - Rougelsum: 45.1463
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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 | 2.0403 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 2.0 | 380 | 1.8934 | 28.0868 | 17.4168 | 25.3536 | 25.3702 |
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- | 4.6522 | 3.0 | 570 | 1.6580 | 47.5212 | 30.0916 | 42.8159 | 42.883 |
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- | 4.6522 | 4.0 | 760 | 1.8662 | 44.8652 | 27.9011 | 40.1588 | 40.2275 |
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- | 1.6519 | 5.0 | 950 | 1.8573 | 46.4155 | 29.2526 | 41.7351 | 41.8898 |
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- | 1.6519 | 6.0 | 1140 | 2.1703 | 45.1961 | 27.6173 | 40.1483 | 40.2935 |
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- | 1.6519 | 7.0 | 1330 | 2.2432 | 46.0223 | 28.3413 | 40.8465 | 41.0459 |
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- | 0.686 | 8.0 | 1520 | 2.4703 | 45.4081 | 27.3232 | 40.0347 | 40.1716 |
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- | 0.686 | 9.0 | 1710 | 2.5881 | 44.4687 | 26.6701 | 39.1413 | 39.3351 |
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- | 0.3872 | 10.0 | 1900 | 2.5482 | 47.7377 | 29.9189 | 42.6373 | 42.793 |
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- | 0.3872 | 11.0 | 2090 | 2.6599 | 46.2512 | 27.9493 | 40.8027 | 40.9597 |
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- | 0.3872 | 12.0 | 2280 | 2.6180 | 47.9919 | 30.3765 | 43.0101 | 43.1577 |
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- | 0.2178 | 13.0 | 2470 | 2.6768 | 49.0972 | 31.0316 | 44.172 | 44.2624 |
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- | 0.2178 | 14.0 | 2660 | 2.7250 | 48.6052 | 30.6366 | 43.4335 | 43.5777 |
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- | 0.1463 | 15.0 | 2850 | 2.7550 | 49.2394 | 31.477 | 44.1942 | 44.3253 |
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- | 0.1463 | 16.0 | 3040 | 2.7930 | 48.4782 | 30.9098 | 43.3483 | 43.4897 |
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- | 0.1463 | 17.0 | 3230 | 2.8276 | 48.9192 | 31.0979 | 43.9898 | 44.1502 |
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- | 0.1086 | 18.0 | 3420 | 2.8281 | 48.0888 | 30.341 | 42.9483 | 43.015 |
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- | 0.1086 | 19.0 | 3610 | 2.8579 | 49.8844 | 32.1372 | 44.8764 | 45.0789 |
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- | 0.1013 | 20.0 | 3800 | 2.8896 | 49.2299 | 31.4565 | 44.35 | 44.4755 |
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- | 0.1013 | 21.0 | 3990 | 2.9127 | 49.6209 | 32.0 | 44.4487 | 44.5873 |
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- | 0.1013 | 22.0 | 4180 | 2.9147 | 49.5669 | 31.8814 | 44.7034 | 44.8279 |
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- | 0.0563 | 23.0 | 4370 | 2.9434 | 49.547 | 31.8733 | 44.581 | 44.7106 |
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- | 0.0563 | 24.0 | 4560 | 2.9515 | 49.4505 | 31.5485 | 44.4449 | 44.5357 |
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- | 0.0414 | 25.0 | 4750 | 2.9098 | 49.5502 | 31.797 | 44.4787 | 44.609 |
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- | 0.0414 | 26.0 | 4940 | 3.0134 | 49.8028 | 32.4364 | 44.8989 | 45.042 |
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- | 0.0414 | 27.0 | 5130 | 2.9972 | 49.959 | 32.1427 | 44.9178 | 45.0286 |
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- | 0.0251 | 28.0 | 5320 | 2.9941 | 49.2929 | 31.6979 | 44.4451 | 44.5743 |
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- | 0.0251 | 29.0 | 5510 | 3.0186 | 49.5644 | 31.7509 | 44.6812 | 44.7824 |
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- | 0.0177 | 30.0 | 5700 | 3.0225 | 49.9329 | 32.1002 | 45.0246 | 45.1463 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.2719
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+ - Rouge1: 47.3273
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+ - Rouge2: 29.559
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+ - Rougel: 42.4756
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+ - Rougelsum: 42.6072
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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 | 8.8777 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | No log | 2.0 | 380 | 1.8823 | 42.9631 | 25.6911 | 38.0391 | 38.1538 |
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+ | 4.9008 | 3.0 | 570 | 2.0013 | 35.1183 | 20.8995 | 31.4246 | 31.5244 |
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+ | 4.9008 | 4.0 | 760 | 1.8788 | 40.5309 | 24.083 | 36.0682 | 36.1536 |
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+ | 1.5674 | 5.0 | 950 | 1.9732 | 45.3455 | 26.8893 | 39.9257 | 40.0479 |
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+ | 1.5674 | 6.0 | 1140 | 2.1709 | 45.7451 | 27.9563 | 40.7943 | 40.9558 |
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+ | 1.5674 | 7.0 | 1330 | 2.3818 | 46.7204 | 28.2229 | 41.3356 | 41.4894 |
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+ | 0.4273 | 8.0 | 1520 | 2.4915 | 45.2646 | 27.0017 | 40.0391 | 40.0651 |
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+ | 0.4273 | 9.0 | 1710 | 2.6317 | 47.2481 | 29.1062 | 41.8523 | 42.0337 |
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+ | 0.2256 | 10.0 | 1900 | 2.7477 | 47.0734 | 28.6713 | 41.6488 | 41.7768 |
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+ | 0.2256 | 11.0 | 2090 | 2.7957 | 45.7955 | 27.9674 | 40.7893 | 40.9195 |
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+ | 0.2256 | 12.0 | 2280 | 2.8360 | 46.4354 | 28.6781 | 41.3965 | 41.5133 |
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+ | 0.1692 | 13.0 | 2470 | 2.8865 | 46.3897 | 28.1487 | 41.0427 | 41.1223 |
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+ | 0.1692 | 14.0 | 2660 | 2.8814 | 47.4505 | 29.5163 | 42.4362 | 42.5386 |
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+ | 0.1123 | 15.0 | 2850 | 2.9375 | 47.1197 | 29.315 | 42.1043 | 42.2586 |
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+ | 0.1123 | 16.0 | 3040 | 3.0171 | 47.6975 | 29.342 | 42.654 | 42.7698 |
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+ | 0.1123 | 17.0 | 3230 | 3.0271 | 47.1759 | 29.4071 | 42.337 | 42.4166 |
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+ | 0.0508 | 18.0 | 3420 | 3.1101 | 46.0849 | 28.1961 | 41.174 | 41.3203 |
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+ | 0.0508 | 19.0 | 3610 | 3.1070 | 46.6169 | 29.2838 | 41.8743 | 41.9666 |
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+ | 0.0268 | 20.0 | 3800 | 3.1305 | 46.8893 | 29.0878 | 41.9831 | 42.1053 |
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+ | 0.0268 | 21.0 | 3990 | 3.1861 | 47.1381 | 29.4249 | 42.0727 | 42.1941 |
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+ | 0.0268 | 22.0 | 4180 | 3.1936 | 47.2897 | 29.3799 | 42.1783 | 42.3624 |
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+ | 0.0146 | 23.0 | 4370 | 3.1948 | 47.1995 | 29.4603 | 42.0493 | 42.1786 |
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+ | 0.0146 | 24.0 | 4560 | 3.2059 | 46.8882 | 29.4045 | 42.1013 | 42.2324 |
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+ | 0.0098 | 25.0 | 4750 | 3.2399 | 47.4652 | 29.4997 | 42.4001 | 42.477 |
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+ | 0.0098 | 26.0 | 4940 | 3.2327 | 47.8052 | 30.0034 | 42.9265 | 43.0563 |
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+ | 0.0098 | 27.0 | 5130 | 3.2529 | 47.3934 | 29.7044 | 42.3686 | 42.4734 |
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+ | 0.0065 | 28.0 | 5320 | 3.2535 | 47.2493 | 29.2719 | 42.3357 | 42.4759 |
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+ | 0.0065 | 29.0 | 5510 | 3.2686 | 47.3168 | 29.4467 | 42.4364 | 42.5837 |
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+ | 0.0047 | 30.0 | 5700 | 3.2719 | 47.3273 | 29.559 | 42.4756 | 42.6072 |
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  ### Framework versions