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bart-large-cnn_summarizer_30216

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metadata
license: mit
tags:
  - generated_from_trainer
metrics:
  - rouge
base_model: facebook/bart-large-cnn
model-index:
  - name: bart-large-cnn_summarizer_30216
    results: []

bart-large-cnn_summarizer_30216

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

  • Loss: 0.9800
  • Rouge1: 51.6258
  • Rouge2: 33.4629
  • Rougel: 40.3034
  • Rougelsum: 47.8482
  • Gen Len: 105.0622

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: 2
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
0.8653 1.0 12086 0.9274 51.1144 32.972 39.8981 47.2905 100.2417
0.6741 2.0 24172 0.9330 51.5965 33.5021 40.4048 47.8046 103.9732
0.4802 3.0 36258 0.9800 51.6258 33.4629 40.3034 47.8482 105.0622

Framework versions

  • Transformers 4.23.1
  • Pytorch 1.12.1+cu113
  • Datasets 2.6.1
  • Tokenizers 0.13.1