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NASES-clara-med

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@@ -4,15 +4,9 @@ tags:
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  - generated_from_trainer
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  metrics:
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  - rouge
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- - sari
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  model-index:
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  - name: NASES-clara-med
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  results: []
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- license: cc-by-nc-sa-4.0
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- datasets:
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- - lcampillos/CLARA-MeD
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- language:
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- - es
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -20,14 +14,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # NASES-clara-med
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- This model is a fine-tuned version of [ELiRF/NASES](https://huggingface.co/ELiRF/NASES) on the [CLARA-MeD](https://huggingface.co/lcampillos/CLARA-MeD) dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.1754
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- - Rouge1: 45.2398
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- - Rouge2: 27.7502
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- - Rougel: 39.4698
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- - Rougelsum: 39.7208
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- - SARI: 49.5333
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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 | 2.1363 | 43.1891 | 26.0464 | 37.7101 | 37.8669 |
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- | No log | 2.0 | 380 | 2.0887 | 44.3709 | 26.66 | 38.7491 | 38.9616 |
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- | 1.8749 | 3.0 | 570 | 2.0998 | 45.3838 | 27.6296 | 39.6766 | 39.8786 |
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- | 1.8749 | 4.0 | 760 | 2.2080 | 45.3734 | 27.9361 | 39.8229 | 39.9957 |
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- | 0.6851 | 5.0 | 950 | 2.3240 | 44.8206 | 27.4094 | 39.0302 | 39.249 |
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- | 0.6851 | 6.0 | 1140 | 2.4336 | 45.2087 | 27.6721 | 39.6997 | 39.9306 |
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- | 0.6851 | 7.0 | 1330 | 2.5224 | 45.3472 | 28.0703 | 39.9099 | 40.1756 |
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- | 0.2487 | 8.0 | 1520 | 2.5796 | 45.215 | 27.7175 | 39.5083 | 39.7442 |
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- | 0.2487 | 9.0 | 1710 | 2.6675 | 45.3478 | 27.5316 | 39.7082 | 39.9943 |
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- | 0.1383 | 10.0 | 1900 | 2.7055 | 44.6361 | 27.3284 | 38.8978 | 39.1641 |
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- | 0.1383 | 11.0 | 2090 | 2.7401 | 45.537 | 27.9101 | 39.8044 | 40.0529 |
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- | 0.1383 | 12.0 | 2280 | 2.7837 | 45.3551 | 27.7135 | 39.6413 | 39.8563 |
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- | 0.0866 | 13.0 | 2470 | 2.8190 | 45.9865 | 28.3685 | 40.3313 | 40.626 |
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- | 0.0866 | 14.0 | 2660 | 2.8380 | 45.3839 | 27.9721 | 39.8318 | 40.0786 |
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- | 0.065 | 15.0 | 2850 | 2.9169 | 45.3779 | 27.8374 | 39.7026 | 39.9432 |
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- | 0.065 | 16.0 | 3040 | 2.9225 | 45.3323 | 27.6681 | 39.5425 | 39.8021 |
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- | 0.065 | 17.0 | 3230 | 2.9558 | 45.507 | 28.2007 | 40.0316 | 40.3505 |
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- | 0.0465 | 18.0 | 3420 | 3.0746 | 45.5661 | 27.6864 | 39.7771 | 40.042 |
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- | 0.0465 | 19.0 | 3610 | 3.0260 | 45.4173 | 28.1651 | 39.9385 | 40.265 |
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- | 0.0287 | 20.0 | 3800 | 2.9955 | 44.8573 | 27.7183 | 39.3235 | 39.6152 |
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- | 0.0287 | 21.0 | 3990 | 3.0956 | 44.9341 | 27.481 | 39.4431 | 39.6973 |
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- | 0.0287 | 22.0 | 4180 | 3.1569 | 44.8046 | 27.4202 | 38.9288 | 39.2948 |
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- | 0.0205 | 23.0 | 4370 | 3.1127 | 45.6665 | 27.9091 | 39.9312 | 40.1756 |
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- | 0.0205 | 24.0 | 4560 | 3.1214 | 45.2634 | 27.757 | 39.6646 | 39.9734 |
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- | 0.0149 | 25.0 | 4750 | 3.1522 | 45.4023 | 27.961 | 39.6511 | 39.9969 |
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- | 0.0149 | 26.0 | 4940 | 3.1694 | 45.3276 | 27.7616 | 39.5195 | 39.776 |
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- | 0.0149 | 27.0 | 5130 | 3.1682 | 45.4472 | 27.8223 | 39.6778 | 39.9427 |
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- | 0.0126 | 28.0 | 5320 | 3.1421 | 45.4602 | 27.9026 | 39.8116 | 40.1192 |
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- | 0.0126 | 29.0 | 5510 | 3.1576 | 45.4435 | 27.9545 | 39.7496 | 39.9925 |
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- | 0.01 | 30.0 | 5700 | 3.1754 | 45.2398 | 27.7502 | 39.4698 | 39.7208 |
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  ### Framework versions
@@ -95,4 +88,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.25.1
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  - Pytorch 1.13.0
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  - Datasets 2.8.0
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- - Tokenizers 0.12.1
 
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  - generated_from_trainer
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  metrics:
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  - rouge
 
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  model-index:
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  - name: NASES-clara-med
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  results: []
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # NASES-clara-med
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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: 3.2763
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+ - Rouge1: 42.9986
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+ - Rouge2: 25.2365
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+ - Rougel: 37.0782
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+ - Rougelsum: 37.278
 
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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 | 2.1704 | 42.0923 | 24.011 | 36.2317 | 36.3819 |
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+ | No log | 2.0 | 380 | 2.1260 | 42.3364 | 24.6464 | 36.8836 | 37.0023 |
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+ | 1.9093 | 3.0 | 570 | 2.1582 | 43.7464 | 26.0481 | 38.1321 | 38.2575 |
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+ | 1.9093 | 4.0 | 760 | 2.2436 | 43.1348 | 25.6313 | 37.5276 | 37.688 |
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+ | 0.7294 | 5.0 | 950 | 2.3852 | 43.9276 | 26.2853 | 38.1775 | 38.3529 |
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+ | 0.7294 | 6.0 | 1140 | 2.5096 | 42.6241 | 25.1825 | 36.9084 | 37.1236 |
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+ | 0.7294 | 7.0 | 1330 | 2.5986 | 43.4603 | 25.7703 | 37.762 | 38.0026 |
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+ | 0.2438 | 8.0 | 1520 | 2.6878 | 42.483 | 24.6796 | 36.7012 | 36.9424 |
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+ | 0.2438 | 9.0 | 1710 | 2.7096 | 43.3953 | 25.6418 | 37.4906 | 37.8048 |
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+ | 0.1422 | 10.0 | 1900 | 2.7879 | 43.1926 | 25.3773 | 37.2548 | 37.4858 |
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+ | 0.1422 | 11.0 | 2090 | 2.8629 | 43.7788 | 25.7912 | 37.6712 | 37.8664 |
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+ | 0.1422 | 12.0 | 2280 | 2.9139 | 43.5132 | 25.6003 | 37.5426 | 37.7154 |
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+ | 0.0911 | 13.0 | 2470 | 2.9267 | 43.2335 | 25.5807 | 37.4857 | 37.6547 |
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+ | 0.0911 | 14.0 | 2660 | 2.9826 | 42.4726 | 24.6801 | 36.8142 | 36.9149 |
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+ | 0.0704 | 15.0 | 2850 | 2.9834 | 42.7464 | 25.0051 | 37.0043 | 37.188 |
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+ | 0.0704 | 16.0 | 3040 | 3.0423 | 42.7331 | 25.1076 | 36.8757 | 37.1165 |
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+ | 0.0704 | 17.0 | 3230 | 3.0602 | 43.5046 | 25.9845 | 37.9281 | 38.0868 |
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+ | 0.0529 | 18.0 | 3420 | 3.0882 | 42.7186 | 25.0104 | 36.943 | 37.1559 |
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+ | 0.0529 | 19.0 | 3610 | 3.0713 | 43.0051 | 25.3356 | 37.0809 | 37.2836 |
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+ | 0.0383 | 20.0 | 3800 | 3.1547 | 43.2239 | 25.3545 | 37.2722 | 37.4304 |
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+ | 0.0383 | 21.0 | 3990 | 3.1408 | 43.2171 | 25.266 | 37.1733 | 37.4219 |
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+ | 0.0383 | 22.0 | 4180 | 3.1739 | 43.1094 | 25.2674 | 37.3491 | 37.5596 |
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+ | 0.0252 | 23.0 | 4370 | 3.2036 | 43.0451 | 25.3833 | 37.2896 | 37.469 |
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+ | 0.0252 | 24.0 | 4560 | 3.2291 | 43.2983 | 25.5308 | 37.6024 | 37.7772 |
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+ | 0.0173 | 25.0 | 4750 | 3.2607 | 43.0005 | 25.0403 | 37.2126 | 37.367 |
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+ | 0.0173 | 26.0 | 4940 | 3.2498 | 42.869 | 24.9531 | 37.0616 | 37.2307 |
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+ | 0.0173 | 27.0 | 5130 | 3.3016 | 43.1913 | 25.1199 | 37.2238 | 37.4256 |
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+ | 0.0135 | 28.0 | 5320 | 3.2813 | 43.1867 | 25.2193 | 37.2014 | 37.4029 |
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+ | 0.0135 | 29.0 | 5510 | 3.2757 | 42.9765 | 25.2217 | 37.0312 | 37.2317 |
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+ | 0.0113 | 30.0 | 5700 | 3.2763 | 42.9986 | 25.2365 | 37.0782 | 37.278 |
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  ### Framework versions
 
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  - Transformers 4.25.1
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  - Pytorch 1.13.0
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  - Datasets 2.8.0
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+ - Tokenizers 0.12.1