PEGASUS_CNNDM_ORIGIN

• Loss: 1.7525
• Rouge1: 0.3585
• Rouge2: 0.1596
• Rougel: 0.2651
• Rougelsum: 0.2651
• Gen Len: 57.9427
• Precision: 0.8769
• Recall: 0.8915
• F1: 0.884

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 2e-05
• train_batch_size: 8
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• 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

Framework versions

• Transformers 4.36.0
• Pytorch 2.0.1+cu117
• Datasets 2.14.5
• Tokenizers 0.15.0