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philschmid/flan-t5-base-samsum

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
93likes1kdownloads
Model Card

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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: 1.3716
  • Rouge1: 47.2358
  • Rouge2: 23.5135
  • Rougel: 39.6266
  • Rougelsum: 43.3458
  • Gen Len: 17.3907

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
1.43791.018421.380547.107523.53139.691943.54917.1197
1.35592.036841.371647.235823.513539.626643.345817.3907
1.27833.055261.372147.458123.733939.772643.456817.1832
1.23784.073681.375747.855724.059340.232444.008517.3053
1.19835.092101.375147.815624.003840.216943.891817.3040

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.12.1+cu113
  • Datasets 2.8.0
  • Tokenizers 0.12.1