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pegasus-cnn_dailymail-1000-lit-evalMA-ga1

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

  • Loss: 1.6852
  • Rouge1: 25.8242
  • Rouge2: 11.1309
  • Rougel: 20.7946
  • Rougelsum: 22.5591
  • Gen Len: 46.32

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
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 4
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
No log 1.0 250 1.7061 25.8547 10.8573 20.8419 22.5942 44.36
1.4533 2.0 500 1.6876 26.105 11.5635 21.132 23.044 45.65
1.4533 3.0 750 1.6852 25.8242 11.1309 20.7946 22.5591 46.32

Framework versions

  • Transformers 4.16.2
  • Pytorch 1.10.2
  • Datasets 1.18.3
  • Tokenizers 0.11.0
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