mikeadimech/bart-large-cnn-qmsum-meeting-summarization

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bart-large-cnn-qmsum-meeting-summarization

This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 5.7578
• —Rouge1: 37.9431
• —Rouge2: 10.6366
• —Rougel: 25.5782
• —Rougelsum: 33.0209
• —Gen Len: 72.7714

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: 3e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —num_epochs: 500
• —labelsmoothingfactor: 0.1

Training results

Framework versions

• —Transformers 4.17.0
• —Pytorch 1.10.0+cu111
• —Datasets 2.0.0
• —Tokenizers 0.11.6