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Big-Bart-BBC

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metadata
license: apache-2.0
base_model: facebook/bart-large
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: Big-Bart-BBC
    results: []

Big-Bart-BBC

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

  • Loss: 2.4008
  • Rouge1: 0.2384
  • Rouge2: 0.1145
  • Rougel: 0.2066
  • Rougelsum: 0.2073

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: 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

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum
3.0314 1.0 1652 2.4008 0.2384 0.1145 0.2066 0.2073

Framework versions

  • Transformers 4.36.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.0
  • Tokenizers 0.15.0