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bart_samsum

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Transformers
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bart
text2text-generation
Generated from Trainer
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metadata
license: mit
base_model: facebook/bart-large-xsum
tags:
  - generated_from_trainer
metrics:
  - rouge
  - bleu
model-index:
  - name: bart_samsum
    results: []
datasets:
  - samsum
pipeline_tag: summarization

bart_samsum

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

  • Loss: 1.4947
  • Rouge1: 53.3294
  • Rouge2: 28.6009
  • Rougel: 44.2008
  • Rougelsum: 49.2031
  • Bleu: 0.0
  • Meteor: 0.4887
  • Gen Len: 30.1209

Comparison between

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.40.0
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1