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nd_pegasus_bigpatent_cnn_xsum_model

This model is a fine-tuned version of google/pegasus-cnn_dailymail on the big_patent dataset. It achieves the following results on the evaluation set:

  • Loss: 3.1037
  • Rouge1: 0.3465
  • Rouge2: 0.1181
  • Rougel: 0.2258
  • Rougelsum: 0.227
  • Gen Len: 85.75

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: 2
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
3.5734 1.0 80 3.1804 0.3468 0.1231 0.2262 0.2268 89.95
3.3146 2.0 160 3.1037 0.3465 0.1181 0.2258 0.227 85.75

Framework versions

  • Transformers 4.27.4
  • Pytorch 1.13.1+cu116
  • Datasets 2.11.0
  • Tokenizers 0.13.2
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Dataset used to train ShubhamSP/nd_pegasus_bigpatent_cnn_xsum_model

Evaluation results