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kaixkhazaki/flan-t5-base-turkish-summarisation

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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flan-t5-base-turkish-summarisation

This model is a fine-tuned version of google/flan-t5-base on the mlsum dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2759
  • Rouge1: 17.7215
  • Rouge2: 11.6449
  • Rougel: 17.1215
  • Rougelsum: 17.0317
  • Gen Len: 20.0

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: 5e-05
  • trainbatchsize: 4
  • evalbatchsize: 4
  • seed: 42
  • optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • lrschedulertype: linear
  • training_steps: 1000

Training results

Training LossEpochStepValidation LossRouge1Rouge2RougelRougelsumGen Len
1.58560.08022001.316418.076911.748217.313217.3220.0
1.48880.16044001.290117.689311.668216.914816.896420.0
1.47870.24076001.282717.525211.514316.858616.828120.0
1.4880.32098001.263717.891311.771217.136917.094920.0
1.41050.401110001.275917.721511.644917.121517.031720.0

Framework versions

  • Transformers 4.48.0
  • Pytorch 2.2.2
  • Datasets 3.2.0
  • Tokenizers 0.21.0