pinglarin/summarization_papers

results

This model is a fine-tuned version of sshleifer/distilbart-xsum-12-1 on the ccdv/arxiv-summarization dataset. It achieves the following results on the evaluation set:

• Loss: 4.3066
• Rouge1: 35.6639
• Rouge2: 10.5717
• Rougel: 21.095
• Rougelsum: 31.2685
• Gen Len: 81.44

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 4.29.0.dev0
• Pytorch 2.0.0
• Datasets 2.10.1
• Tokenizers 0.13.2