update model card README.md
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README.md
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---
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tags:
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- simplification
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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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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 None 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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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5.6e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 30
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### Training results
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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
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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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