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metadata
license: apache-2.0
base_model: google/bigbird-pegasus-large-pubmed
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: bigbird-pegasus-large-pubmed-finetuned-legal-2
    results: []

bigbird-pegasus-large-pubmed-finetuned-legal-2

This model is a fine-tuned version of google/bigbird-pegasus-large-pubmed on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.0932
  • Rouge1: 35.0046
  • Rouge2: 14.6481
  • Rougel: 20.8387
  • Rougelsum: 32.3484
  • Gen Len: 245.06

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: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
3.3208 1.0 6176 3.0932 35.0046 14.6481 20.8387 32.3484 245.06

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.3
  • Tokenizers 0.13.3