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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- scientific_papers
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metrics:
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- rouge
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model-index:
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- name: bart-base-finetuned-pubmed
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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: scientific_papers
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type: scientific_papers
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args: pubmed
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metrics:
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- name: Rouge1
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type: rouge
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value: 9.1984
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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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# bart-base-finetuned-pubmed
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the scientific_papers dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9804
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- Rouge1: 9.1984
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- Rouge2: 4.3091
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- Rougel: 7.9739
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- Rougelsum: 8.6759
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- Gen Len: 20.0
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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: 4
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- eval_batch_size: 4
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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: 4
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- mixed_precision_training: Native AMP
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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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| 2.2869 | 1.0 | 29981 | 2.1241 | 9.0852 | 4.1152 | 7.842 | 8.5395 | 20.0 |
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| 2.1469 | 2.0 | 59962 | 2.0225 | 9.1609 | 4.2437 | 7.9311 | 8.6273 | 20.0 |
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| 2.113 | 3.0 | 89943 | 1.9959 | 9.3086 | 4.3305 | 8.0363 | 8.7713 | 20.0 |
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| 2.0632 | 4.0 | 119924 | 1.9804 | 9.1984 | 4.3091 | 7.9739 | 8.6759 | 20.0 |
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### Framework versions
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- Transformers 4.11.3
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- Pytorch 1.9.1+cu102
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- Datasets 1.12.1
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- Tokenizers 0.10.3
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