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dinesHawk86/t5-small-mnews

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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t5-small-mnews

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

  • Loss: 2.7247
  • Rouge1: 14.7796
  • Rouge2: 4.7659
  • Rougel: 11.2698
  • Rougelsum: 13.0578
  • 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: 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

Training LossEpochStepValidation LossRouge1Rouge2RougelRougelsumGen Len
2.95411.056222.724714.77964.765911.269813.057819.0

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.14.1