pegasus-large-commentaries_hd

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

  • Loss: 2.5453
  • Rouge1: 26.3475
  • Rouge2: 9.5095
  • Rougel: 22.6367
  • Rougelsum: 22.8127
  • Gen Len: 14.4789

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: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
2.5718 1.0 4710 2.5277 25.1384 8.6528 21.3443 21.5289 15.3268
2.4034 2.0 9420 2.4973 25.9298 9.2238 22.3192 22.4817 14.2243
2.2093 3.0 14130 2.5013 26.6036 9.7482 22.8409 23.0077 14.2263
2.0518 4.0 18840 2.5272 26.4723 9.6599 22.7439 22.9201 14.38
1.9906 5.0 23550 2.5453 26.3475 9.5095 22.6367 22.8127 14.4789

Framework versions

  • Transformers 4.15.0
  • Pytorch 1.10.0+cu111
  • Datasets 1.17.0
  • Tokenizers 0.10.3
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Evaluation results