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NASES-clara-med

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update model card README.md

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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: 3.1300
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- - Rouge1: 45.8234
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- - Rouge2: 27.9023
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- - Rougel: 40.0601
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- - Rougelsum: 40.1365
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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 | 2.1020 | 44.2638 | 26.5513 | 38.8656 | 38.9574 |
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- | No log | 2.0 | 380 | 2.0341 | 44.8083 | 27.3491 | 39.2192 | 39.2873 |
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- | 1.8386 | 3.0 | 570 | 2.0883 | 44.9818 | 27.5372 | 39.702 | 39.7941 |
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- | 1.8386 | 4.0 | 760 | 2.1829 | 45.3864 | 28.2511 | 40.224 | 40.3422 |
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- | 0.6628 | 5.0 | 950 | 2.3020 | 45.1704 | 27.6203 | 39.6343 | 39.8564 |
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- | 0.6628 | 6.0 | 1140 | 2.3936 | 45.245 | 27.5998 | 39.5014 | 39.7109 |
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- | 0.6628 | 7.0 | 1330 | 2.5143 | 45.419 | 27.8554 | 39.7599 | 39.8859 |
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- | 0.2204 | 8.0 | 1520 | 2.5889 | 45.3461 | 27.8309 | 39.7638 | 39.7984 |
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- | 0.2204 | 9.0 | 1710 | 2.6406 | 45.0848 | 27.6269 | 39.499 | 39.5797 |
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- | 0.1278 | 10.0 | 1900 | 2.6651 | 44.8955 | 27.1523 | 39.0341 | 39.1819 |
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- | 0.1278 | 11.0 | 2090 | 2.7188 | 44.8196 | 27.3935 | 39.1979 | 39.2786 |
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- | 0.1278 | 12.0 | 2280 | 2.7608 | 45.3321 | 27.7995 | 39.755 | 39.8835 |
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- | 0.0849 | 13.0 | 2470 | 2.7928 | 45.3633 | 27.7144 | 39.7197 | 39.8112 |
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- | 0.0849 | 14.0 | 2660 | 2.8243 | 45.2905 | 27.8178 | 39.8823 | 39.9496 |
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- | 0.0655 | 15.0 | 2850 | 2.8515 | 45.8272 | 28.2161 | 40.2645 | 40.3717 |
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- | 0.0655 | 16.0 | 3040 | 2.8778 | 45.4863 | 27.8831 | 39.7118 | 39.7972 |
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- | 0.0655 | 17.0 | 3230 | 2.9078 | 45.3699 | 27.8244 | 39.5926 | 39.6862 |
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- | 0.0515 | 18.0 | 3420 | 2.9201 | 45.601 | 28.0129 | 40.0033 | 40.085 |
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- | 0.0515 | 19.0 | 3610 | 2.9525 | 45.6083 | 27.8189 | 39.8085 | 39.9177 |
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- | 0.0427 | 20.0 | 3800 | 2.9935 | 45.3061 | 27.2807 | 39.3424 | 39.4389 |
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- | 0.0427 | 21.0 | 3990 | 3.0076 | 45.2374 | 27.337 | 39.5316 | 39.5977 |
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- | 0.0427 | 22.0 | 4180 | 3.0457 | 46.1103 | 27.8833 | 40.1059 | 40.1985 |
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- | 0.0272 | 23.0 | 4370 | 3.0433 | 45.4395 | 27.8712 | 40.001 | 40.0459 |
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- | 0.0272 | 24.0 | 4560 | 3.0483 | 45.6994 | 27.6396 | 39.8601 | 39.9617 |
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- | 0.0188 | 25.0 | 4750 | 3.0561 | 45.7877 | 27.808 | 40.1369 | 40.1748 |
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- | 0.0188 | 26.0 | 4940 | 3.0849 | 45.574 | 27.6999 | 39.8785 | 39.9602 |
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- | 0.0188 | 27.0 | 5130 | 3.1076 | 45.7393 | 27.8011 | 39.9347 | 39.9889 |
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- | 0.0149 | 28.0 | 5320 | 3.1277 | 45.6849 | 27.6962 | 39.85 | 39.9121 |
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- | 0.0149 | 29.0 | 5510 | 3.1181 | 45.8135 | 27.7591 | 39.9626 | 39.9888 |
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- | 0.0119 | 30.0 | 5700 | 3.1300 | 45.8234 | 27.9023 | 40.0601 | 40.1365 |
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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: 3.3274
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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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  | 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