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update model card README.md
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README.md
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---
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license: mit
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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-large-cnn-pubmed1o3-pubmed2o3
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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: 37.4586
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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-large-cnn-pubmed1o3-pubmed2o3
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This model is a fine-tuned version of [theojolliffe/bart-large-cnn-pubmed1o3](https://huggingface.co/theojolliffe/bart-large-cnn-pubmed1o3) on the scientific_papers dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8817
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- Rouge1: 37.4586
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- Rouge2: 15.5572
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- Rougel: 23.0686
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- Rougelsum: 34.1522
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- Gen Len: 138.379
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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: 2
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- eval_batch_size: 2
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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: 1
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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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| 1.9586 | 1.0 | 19988 | 1.8817 | 37.4586 | 15.5572 | 23.0686 | 34.1522 | 138.379 |
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### Framework versions
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- Transformers 4.19.2
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- Pytorch 1.11.0+cu113
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- Datasets 2.2.2
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- Tokenizers 0.12.1
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