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NASES-clara-med

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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 [ELiRF/NASES](https://huggingface.co/ELiRF/NASES) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.3274
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- - Rouge1: 43.5242
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- - Rouge2: 25.5006
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- - Rougel: 37.6746
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- - Rougelsum: 37.9494
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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 | 2.2062 | 42.852 | 24.8838 | 37.1452 | 37.3371 |
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- | No log | 2.0 | 380 | 2.3578 | 37.9691 | 19.9011 | 32.0423 | 32.1643 |
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- | 1.9348 | 3.0 | 570 | 2.3038 | 41.0743 | 22.9938 | 35.4133 | 35.7045 |
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- | 1.9348 | 4.0 | 760 | 2.2657 | 43.452 | 25.738 | 37.9271 | 38.184 |
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- | 0.8021 | 5.0 | 950 | 2.3763 | 43.6414 | 25.6831 | 37.8838 | 38.1249 |
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- | 0.8021 | 6.0 | 1140 | 2.5113 | 43.0882 | 25.4964 | 37.5245 | 37.7459 |
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- | 0.8021 | 7.0 | 1330 | 2.6203 | 43.164 | 25.1229 | 37.396 | 37.7116 |
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- | 0.2689 | 8.0 | 1520 | 2.7020 | 43.7588 | 25.7127 | 37.9395 | 38.1406 |
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- | 0.2689 | 9.0 | 1710 | 2.7533 | 43.3676 | 25.2676 | 37.5607 | 37.8348 |
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- | 0.1474 | 10.0 | 1900 | 2.8033 | 43.7734 | 25.7325 | 37.8845 | 38.161 |
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- | 0.1474 | 11.0 | 2090 | 2.8847 | 43.1775 | 25.4384 | 37.4397 | 37.7056 |
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- | 0.1474 | 12.0 | 2280 | 2.9204 | 43.6149 | 25.6053 | 37.8689 | 38.121 |
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- | 0.0924 | 13.0 | 2470 | 2.9404 | 43.355 | 25.458 | 37.4775 | 37.7391 |
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- | 0.0924 | 14.0 | 2660 | 2.9606 | 43.7408 | 25.7361 | 38.0951 | 38.3446 |
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- | 0.0666 | 15.0 | 2850 | 2.9954 | 43.4987 | 25.5428 | 37.5166 | 37.7468 |
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- | 0.0666 | 16.0 | 3040 | 3.0491 | 43.8303 | 25.4726 | 37.8056 | 38.0368 |
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- | 0.0666 | 17.0 | 3230 | 3.0872 | 43.8177 | 25.9315 | 37.9765 | 38.2842 |
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- | 0.0485 | 18.0 | 3420 | 3.0743 | 43.0783 | 25.1678 | 37.3844 | 37.6768 |
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- | 0.0485 | 19.0 | 3610 | 3.1571 | 43.5241 | 25.5695 | 37.7233 | 37.9743 |
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- | 0.0328 | 20.0 | 3800 | 3.1866 | 43.8114 | 25.6402 | 37.7608 | 37.9713 |
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- | 0.0328 | 21.0 | 3990 | 3.1502 | 43.7322 | 25.6384 | 37.9642 | 38.1954 |
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- | 0.0328 | 22.0 | 4180 | 3.1723 | 43.5597 | 25.291 | 37.5834 | 37.8289 |
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- | 0.0264 | 23.0 | 4370 | 3.2214 | 43.251 | 24.8926 | 37.0472 | 37.2819 |
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- | 0.0264 | 24.0 | 4560 | 3.2764 | 43.469 | 25.2663 | 37.3452 | 37.5562 |
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- | 0.0169 | 25.0 | 4750 | 3.3104 | 44.0058 | 25.8218 | 38.0374 | 38.2664 |
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- | 0.0169 | 26.0 | 4940 | 3.2820 | 43.4012 | 25.3515 | 37.5514 | 37.7375 |
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- | 0.0169 | 27.0 | 5130 | 3.3169 | 43.3498 | 25.2935 | 37.3567 | 37.5987 |
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- | 0.013 | 28.0 | 5320 | 3.3005 | 43.8029 | 25.6506 | 38.053 | 38.2852 |
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- | 0.013 | 29.0 | 5510 | 3.3266 | 43.711 | 25.5171 | 37.6826 | 37.9781 |
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- | 0.0109 | 30.0 | 5700 | 3.3274 | 43.5242 | 25.5006 | 37.6746 | 37.9494 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [ELiRF/NASES](https://huggingface.co/ELiRF/NASES) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.2666
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+ - Rouge1: 44.0787
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+ - Rouge2: 26.1429
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+ - Rougel: 38.4286
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+ - Rougelsum: 38.5202
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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 | 2.1442 | 43.6265 | 25.4681 | 37.6224 | 37.8012 |
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+ | No log | 2.0 | 380 | 2.0839 | 44.0795 | 25.8075 | 37.9463 | 38.0445 |
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+ | 1.8145 | 3.0 | 570 | 2.1689 | 43.3863 | 25.7517 | 37.4822 | 37.7461 |
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+ | 1.8145 | 4.0 | 760 | 2.2569 | 43.9293 | 25.7951 | 37.9177 | 38.0658 |
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+ | 0.6803 | 5.0 | 950 | 2.3760 | 43.9972 | 26.1618 | 38.4315 | 38.5305 |
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+ | 0.6803 | 6.0 | 1140 | 2.4979 | 44.7986 | 27.0088 | 39.0031 | 39.1731 |
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+ | 0.6803 | 7.0 | 1330 | 2.5881 | 43.8723 | 25.9782 | 38.1705 | 38.3225 |
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+ | 0.2323 | 8.0 | 1520 | 2.6624 | 43.851 | 25.9263 | 38.2445 | 38.3659 |
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+ | 0.2323 | 9.0 | 1710 | 2.7113 | 43.5292 | 25.4795 | 37.6883 | 37.8992 |
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+ | 0.1464 | 10.0 | 1900 | 2.7451 | 44.6014 | 27.0125 | 38.9456 | 39.1796 |
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+ | 0.1464 | 11.0 | 2090 | 2.7932 | 43.9568 | 26.0931 | 38.3672 | 38.5118 |
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+ | 0.1464 | 12.0 | 2280 | 2.8651 | 43.8429 | 25.9007 | 38.0691 | 38.191 |
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+ | 0.0863 | 13.0 | 2470 | 2.8978 | 44.192 | 26.1818 | 38.4167 | 38.579 |
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+ | 0.0863 | 14.0 | 2660 | 2.9279 | 43.6745 | 25.6503 | 37.8948 | 38.0051 |
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+ | 0.0657 | 15.0 | 2850 | 2.9942 | 44.1633 | 25.7856 | 38.0295 | 38.1905 |
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+ | 0.0657 | 16.0 | 3040 | 2.9843 | 44.0347 | 25.9893 | 38.3486 | 38.5219 |
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+ | 0.0657 | 17.0 | 3230 | 3.0189 | 44.3013 | 26.1884 | 38.5594 | 38.7396 |
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+ | 0.0473 | 18.0 | 3420 | 3.0837 | 43.5877 | 25.6931 | 38.1147 | 38.2258 |
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+ | 0.0473 | 19.0 | 3610 | 3.1025 | 44.1191 | 25.9657 | 38.338 | 38.5039 |
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+ | 0.0302 | 20.0 | 3800 | 3.1395 | 44.393 | 26.3189 | 38.7891 | 38.8664 |
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+ | 0.0302 | 21.0 | 3990 | 3.1808 | 44.4783 | 26.3023 | 38.4714 | 38.6428 |
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+ | 0.0302 | 22.0 | 4180 | 3.1388 | 44.6364 | 26.7442 | 38.9591 | 39.1097 |
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+ | 0.0194 | 23.0 | 4370 | 3.1859 | 44.919 | 26.9807 | 39.2653 | 39.3442 |
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+ | 0.0194 | 24.0 | 4560 | 3.2126 | 44.4693 | 26.6534 | 38.8354 | 38.9278 |
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+ | 0.0159 | 25.0 | 4750 | 3.1988 | 44.5436 | 26.63 | 38.9413 | 39.0007 |
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+ | 0.0159 | 26.0 | 4940 | 3.2539 | 44.0378 | 26.0958 | 38.4445 | 38.5443 |
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+ | 0.0159 | 27.0 | 5130 | 3.2844 | 44.6057 | 26.476 | 38.6502 | 38.7949 |
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+ | 0.0117 | 28.0 | 5320 | 3.2755 | 44.1804 | 26.3747 | 38.6084 | 38.7027 |
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+ | 0.0117 | 29.0 | 5510 | 3.2731 | 44.0453 | 26.0298 | 38.3911 | 38.4826 |
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+ | 0.0102 | 30.0 | 5700 | 3.2666 | 44.0787 | 26.1429 | 38.4286 | 38.5202 |
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  ### Framework versions