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metadata
license: mit
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: bart-large-cnn-ing-extraction
    results: []

bart-large-cnn-ing-extraction

This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.8043
  • Rouge1: 10.4409
  • Rouge2: 3.3584
  • Rougel: 10.3769
  • Rougelsum: 10.3943
  • Gen Len: 57.7443

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: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
0.1692 1.0 762 1.8043 10.4409 3.3584 10.3769 10.3943 57.7443

Framework versions

  • Transformers 4.28.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3