bart-large-cnn-finetuned-CNN-ML

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

  • Loss: 2.1137
  • Rouge1: 44.4382
  • Rouge2: 20.686
  • Rougel: 29.9355
  • Rougelsum: 41.4113
  • Gen Len: 93.846

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

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
1.0341 1.0 1000 1.5412 43.0331 20.1656 29.6298 39.9858 83.22
0.6416 2.0 2000 1.8461 44.2294 20.5043 29.6298 41.1457 93.366
0.3766 3.0 3000 2.1137 44.4382 20.686 29.9355 41.4113 93.846

Framework versions

  • Transformers 4.33.1
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3
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Dataset used to train satyanshu404/bart-large-cnn-finetuned-CNN-ML

Evaluation results