readme: ---
  tags:
  - simplification
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: NASES-clara-med
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # NASES-clara-med
  
  This model is a fine-tuned version of [ELiRF/NASES](https://huggingface.co/ELiRF/NASES) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.2666
  - Rouge1: 44.0787
  - Rouge2: 26.1429
  - Rougel: 38.4286
  - Rougelsum: 38.5202
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  More information needed
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 5.6e-05
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 30
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
  | No log        | 1.0   | 190  | 2.1442          | 43.6265 | 25.4681 | 37.6224 | 37.8012   |
  | No log        | 2.0   | 380  | 2.0839          | 44.0795 | 25.8075 | 37.9463 | 38.0445   |
  | 1.8145        | 3.0   | 570  | 2.1689          | 43.3863 | 25.7517 | 37.4822 | 37.7461   |
  | 1.8145        | 4.0   | 760  | 2.2569          | 43.9293 | 25.7951 | 37.9177 | 38.0658   |
  | 0.6803        | 5.0   | 950  | 2.3760          | 43.9972 | 26.1618 | 38.4315 | 38.5305   |
  | 0.6803        | 6.0   | 1140 | 2.4979          | 44.7986 | 27.0088 | 39.0031 | 39.1731   |
  | 0.6803        | 7.0   | 1330 | 2.5881          | 43.8723 | 25.9782 | 38.1705 | 38.3225   |
  | 0.2323        | 8.0   | 1520 | 2.6624          | 43.851  | 25.9263 | 38.2445 | 38.3659   |
  | 0.2323        | 9.0   | 1710 | 2.7113          | 43.5292 | 25.4795 | 37.6883 | 37.8992   |
  | 0.1464        | 10.0  | 1900 | 2.7451          | 44.6014 | 27.0125 | 38.9456 | 39.1796   |
  | 0.1464        | 11.0  | 2090 | 2.7932          | 43.9568 | 26.0931 | 38.3672 | 38.5118   |
  | 0.1464        | 12.0  | 2280 | 2.8651          | 43.8429 | 25.9007 | 38.0691 | 38.191    |
  | 0.0863        | 13.0  | 2470 | 2.8978          | 44.192  | 26.1818 | 38.4167 | 38.579    |
  | 0.0863        | 14.0  | 2660 | 2.9279          | 43.6745 | 25.6503 | 37.8948 | 38.0051   |
  | 0.0657        | 15.0  | 2850 | 2.9942          | 44.1633 | 25.7856 | 38.0295 | 38.1905   |
  | 0.0657        | 16.0  | 3040 | 2.9843          | 44.0347 | 25.9893 | 38.3486 | 38.5219   |
  | 0.0657        | 17.0  | 3230 | 3.0189          | 44.3013 | 26.1884 | 38.5594 | 38.7396   |
  | 0.0473        | 18.0  | 3420 | 3.0837          | 43.5877 | 25.6931 | 38.1147 | 38.2258   |
  | 0.0473        | 19.0  | 3610 | 3.1025          | 44.1191 | 25.9657 | 38.338  | 38.5039   |
  | 0.0302        | 20.0  | 3800 | 3.1395          | 44.393  | 26.3189 | 38.7891 | 38.8664   |
  | 0.0302        | 21.0  | 3990 | 3.1808          | 44.4783 | 26.3023 | 38.4714 | 38.6428   |
  | 0.0302        | 22.0  | 4180 | 3.1388          | 44.6364 | 26.7442 | 38.9591 | 39.1097   |
  | 0.0194        | 23.0  | 4370 | 3.1859          | 44.919  | 26.9807 | 39.2653 | 39.3442   |
  | 0.0194        | 24.0  | 4560 | 3.2126          | 44.4693 | 26.6534 | 38.8354 | 38.9278   |
  | 0.0159        | 25.0  | 4750 | 3.1988          | 44.5436 | 26.63   | 38.9413 | 39.0007   |
  | 0.0159        | 26.0  | 4940 | 3.2539          | 44.0378 | 26.0958 | 38.4445 | 38.5443   |
  | 0.0159        | 27.0  | 5130 | 3.2844          | 44.6057 | 26.476  | 38.6502 | 38.7949   |
  | 0.0117        | 28.0  | 5320 | 3.2755          | 44.1804 | 26.3747 | 38.6084 | 38.7027   |
  | 0.0117        | 29.0  | 5510 | 3.2731          | 44.0453 | 26.0298 | 38.3911 | 38.4826   |
  | 0.0102        | 30.0  | 5700 | 3.2666          | 44.0787 | 26.1429 | 38.4286 | 38.5202   |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0
  - Datasets 2.8.0
  - Tokenizers 0.12.1
  