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pandas2002/my_awesome_billsum_model

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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myawesomebillsum_model

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

  • —Loss: 2.3423
  • —Rouge1: 0.1393
  • —Rouge2: 0.0556
  • —Rougel: 0.1172
  • —Rougelsum: 0.1172
  • —Gen Len: 19.0

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: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 2
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossRouge1Rouge2RougelRougelsumGen Len
No log1.03752.37550.13750.05380.11590.115919.0
2.67392.07502.34230.13930.05560.11720.117219.0

Framework versions

  • —Transformers 4.27.4
  • —Pytorch 1.13.1+cu116
  • —Datasets 2.11.0
  • —Tokenizers 0.13.2