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bart_samsum

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metadata
license: mit
base_model: facebook/bart-large-cnn
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: bart_samsum
    results: []

bart_samsum

This model is a fine-tuned version of facebook/bart-large-cnn on SAMSUM dataset.

It achieves the following results on the evaluation set:

  • Loss: 0.4966
  • Rouge1: 41.4888
  • Rouge2: 21.4374
  • Rougel: 32.0455
  • Rougelsum: 38.5273

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: 1
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum
0.525 0.54 500 0.5377 39.9053 20.1597 30.8845 37.3644

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.2.0
  • Datasets 2.17.1
  • Tokenizers 0.15.2