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update model card README.md
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README.md
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---
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license: apache-2.0
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base_model: facebook/bart-large
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tags:
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- generated_from_trainer
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datasets:
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- clupubhealth
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metrics:
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- rouge
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model-index:
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- name: pubhealth-expanded-2
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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dataset:
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name: clupubhealth
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type: clupubhealth
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config: expanded
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split: test
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args: expanded
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metrics:
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- name: Rouge1
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type: rouge
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value: 30.8894
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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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# pubhealth-expanded-2
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This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the clupubhealth dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0350
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- Rouge1: 30.8894
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- Rouge2: 11.1867
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- Rougel: 23.9147
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- Rougelsum: 24.1629
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- Gen Len: 19.92
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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: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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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: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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| 2.8605 | 0.15 | 300 | 2.1208 | 28.8603 | 10.8357 | 23.0659 | 23.2449 | 19.91 |
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| 2.7424 | 0.31 | 600 | 2.0667 | 31.4167 | 11.8643 | 24.7631 | 25.1062 | 19.83 |
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| 2.6133 | 0.46 | 900 | 2.0508 | 30.8362 | 11.7188 | 23.8637 | 24.0363 | 19.92 |
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| 2.5378 | 0.62 | 1200 | 2.0295 | 32.2237 | 12.4404 | 25.5336 | 25.847 | 19.875 |
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| 2.5218 | 0.77 | 1500 | 2.0379 | 32.0398 | 11.9383 | 25.0801 | 25.2798 | 19.9 |
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| 2.4902 | 0.93 | 1800 | 2.0350 | 30.8894 | 11.1867 | 23.9147 | 24.1629 | 19.92 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu117
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- Datasets 2.7.1
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- Tokenizers 0.13.2
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