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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - scientific_papers
model-index:
  - name: LED-finetuned-PUBMED8K
    results: []

LED-finetuned-PUBMED8K

This model is a fine-tuned version of allenai/led-base-16384 on the scientific_papers dataset. It achieves the following results on the evaluation set:

  • Loss: 2.7101
  • Rouge2 Precision: 0.096
  • Rouge2 Recall: 0.1461
  • Rouge2 Fmeasure: 0.1018

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: 5e-05
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 8
  • 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 Rouge2 Precision Rouge2 Recall Rouge2 Fmeasure
2.9289 0.8 10 2.7294 0.1016 0.1442 0.0924

Framework versions

  • Transformers 4.27.4
  • Pytorch 2.0.0+cu118
  • Datasets 2.11.0
  • Tokenizers 0.13.3