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pegasus-newsroom-cnn-adam8bit-bs4x64acc_2

This model is a fine-tuned version of oMateos2020/pegasus-newsroom-cnn-adam8bit-bs16x64acc on the cnn_dailymail dataset. It achieves the following results on the evaluation set:

  • Loss: 2.8608
  • Rouge1: 44.2848
  • Rouge2: 21.5452
  • Rougel: 31.3765
  • Rougelsum: 41.2302
  • Gen Len: 71.7744

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: 6.4e-05
  • train_batch_size: 4
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 64
  • total_train_batch_size: 256
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.4
  • num_epochs: 1
  • mixed_precision_training: Native AMP
  • label_smoothing_factor: 0.1

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
2.9307 1.0 1121 2.8608 44.2848 21.5452 31.3765 41.2302 71.7744

Framework versions

  • Transformers 4.20.1
  • Pytorch 1.12.1+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1
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Dataset used to train oMateos2020/pegasus-newsroom-cnn-adam8bit-bs4x64acc_2

Evaluation results