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metadata
license: apache-2.0
base_model: facebook/bart-base
tags:
  - summarization
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: bart-base-finetuned-findsum
    results: []

bart-base-finetuned-findsum

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

  • Loss: 1.6579
  • Rouge1: 6.91
  • Rouge2: 3.2425
  • Rougel: 6.1175
  • Rougelsum: 6.5356

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: 5.6e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum
2.3034 1.0 1000 1.9298 6.7298 3.0582 5.932 6.3501
1.9526 2.0 2000 1.8003 7.0291 3.2546 6.1777 6.6368
1.8053 3.0 3000 1.7199 6.9328 3.2489 6.1701 6.5512
1.7113 4.0 4000 1.6741 6.9283 3.2114 6.1239 6.5354
1.654 5.0 5000 1.6579 6.91 3.2425 6.1175 6.5356

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.2.2+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2