datien228/distilbart-cnn-12-6-ftn-multi_news

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distilbart-cnn-12-6-ftn-multi_news

This model is a fine-tuned version of sshleifer/distilbart-cnn-12-6 on the multi_news dataset. It achieves the following results on the evaluation set:

• —Loss: 3.8143
• —Rouge1: 41.6136
• —Rouge2: 14.7454
• —Rougel: 23.3597
• —Rougelsum: 36.1973
• —Gen Len: 130.874

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: 2e-05
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —num_epochs: 1
• —mixedprecisiontraining: Native AMP
• —labelsmoothingfactor: 0.1

Training results

Framework versions

• —Transformers 4.20.1
• —Pytorch 1.11.0+cu113
• —Datasets 2.3.2
• —Tokenizers 0.12.1