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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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