pegasus-xsum-new-dataset

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

• Loss: 1.8355
• Rouge1: 48.7306
• Rouge2: 34.1291
• Rougel: 44.0778
• Rougelsum: 45.7139
• Gen Len: 30.8889

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Framework versions

• Transformers 4.18.0.dev0
• Pytorch 1.10.2+cpu
• Datasets 1.18.3
• Tokenizers 0.11.6