CoolFace
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chinhon/pegasus-newsroom-malay_headlines

sourceHugging Faceupdated 3y agoView on Hugging Face
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Model Card

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pegasus-newsroom-malay_headlines

This model is a fine-tuned version of google/pegasus-newsroom on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.6603
  • —Rouge1: 42.6667
  • —Rouge2: 22.8739
  • —Rougel: 38.6684
  • —Rougelsum: 38.6928
  • —Gen Len: 34.7995

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
  • —num_epochs: 3
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossRouge1Rouge2RougelRougelsumGen Len
1.97131.0153101.812141.146921.526237.308137.337735.0939
1.79172.0306201.691342.402722.608938.447138.469934.8149
1.72713.0459301.660342.666722.873938.668438.692834.7995

Framework versions

  • —Transformers 4.12.2
  • —Pytorch 1.9.0+cu111
  • —Datasets 1.14.0
  • —Tokenizers 0.10.3