README.md

metadata

license: mit
tags:
  - generated_from_trainer
datasets:
  - scientific_papers
metrics:
  - rouge
model-index:
  - name: bart-large-cnn-finetuned-pubmed
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: scientific_papers
          type: scientific_papers
          args: pubmed
        metrics:
          - name: Rouge1
            type: rouge
            value: 36.3093

bart-large-cnn-finetuned-pubmed

This model is a fine-tuned version of facebook/bart-large-cnn on the scientific_papers dataset. It achieves the following results on the evaluation set:

• Loss: 2.0113
• Rouge1: 36.3093
• Rouge2: 14.7358
• Rougel: 22.2752
• Rougelsum: 32.8168
• Gen Len: 137.6193

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.1664	1.0	3748	2.0113	36.3093	14.7358	22.2752	32.8168	137.6193

Framework versions

• Transformers 4.18.0
• Pytorch 1.11.0+cu113
• Datasets 2.1.0
• Tokenizers 0.12.1