Frederick0291/t5-small-finetuned-billsum

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t5-small-finetuned-billsum

This model is a fine-tuned version of t5-small on the billsum dataset. It achieves the following results on the evaluation set:

• —Loss: 2.0972
• —Rouge1: 16.6044
• —Rouge2: 12.8656
• —Rougel: 15.7876
• —Rougelsum: 15.9784
• —Gen Len: 18.9948

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: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 1
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.10.2
• —Pytorch 1.9.0+cu102
• —Datasets 1.12.1
• —Tokenizers 0.10.3