README.md

metadata

license: bsd-3-clause
base_model: pszemraj/led-base-book-summary
tags:
  - generated_from_trainer
datasets:
  - pubmed-summarization
metrics:
  - rouge
model-index:
  - name: results
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: pubmed-summarization
          type: pubmed-summarization
          config: section
          split: validation
          args: section
        metrics:
          - name: Rouge1
            type: rouge
            value: 42.9685

results

This model is a fine-tuned version of pszemraj/led-base-book-summary on the pubmed-summarization dataset. It achieves the following results on the evaluation set:

• Loss: 3.2031
• Rouge1: 42.9685
• Rouge2: 16.6913
• Rougel: 24.0898
• Rougelsum: 38.3268
• Gen Len: 272.131

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: 8e-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
• lr_scheduler_warmup_steps: 1000
• num_epochs: 1
• label_smoothing_factor: 0.1

Training results

Framework versions

• Transformers 4.39.3
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.2