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andreaparker/flan-t5-base-samsum

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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flan-t5-base-samsum

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

  • —Loss: 1.3772
  • —Rouge1: 47.4145
  • —Rouge2: 23.9579
  • —Rougel: 40.0508
  • —Rougelsum: 43.7144
  • —Gen Len: 17.3162

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: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 5

Training results

Training LossEpochStepValidation LossRouge1Rouge2RougelRougelsumGen Len
1.42641.018421.382946.491623.122739.44442.902517.0977
1.35272.036841.373247.069423.476939.594243.222617.4554
1.25543.055261.370946.880123.316139.542343.158117.2027
1.25034.073681.373647.413823.743740.001643.610817.2198
1.16755.092101.377247.414523.957940.050843.714417.3162

Framework versions

  • —Transformers 4.27.3
  • —Pytorch 1.13.1+cu116
  • —Datasets 2.10.1
  • —Tokenizers 0.13.2