QuickRead/fine-tune-Pegasus

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

fine-tune-Pegasus

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

• —Loss: 2.3242
• —Rouge1: 17.993
• —Rouge2: 2.9392
• —Rougel: 12.313
• —Rougelsum: 13.3091
• —Gen Len: 67.0552

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: 6.35e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 500
• —num_epochs: 1.0
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.16.2
• —Pytorch 1.10.1
• —Datasets 1.17.0
• —Tokenizers 0.10.3