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samsum_5535_pegasus-large

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

  • Loss: 0.4847
  • Rouge1: 0.5273
  • Rouge2: 0.2794
  • Rougel: 0.4378
  • Rougelsum: 0.4376
  • Gen Len: 22.6565

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: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
0.5641 4.34 500 0.5145 0.5069 0.2664 0.4229 0.4228 21.187
0.4689 8.69 1000 0.4847 0.5273 0.2794 0.4378 0.4376 22.6565

Framework versions

  • Transformers 4.36.2
  • Pytorch 2.0.1+cu117
  • Datasets 2.15.0
  • Tokenizers 0.15.0
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Dataset used to train ryusangwon/samsum_5535_pegasus-large

Evaluation results