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jeremyvictor/flan-t5-base-clang8-e1-b16

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

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flan-t5-base-clang8-e1-b16

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

  • —Loss: 0.3150
  • —Rouge1: 82.2657
  • —Rouge2: 76.3303
  • —Rougel: 81.8622
  • —Rougelsum: 81.9329
  • —Gen Len: 16.6232

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: 0.001
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adafactor
  • —lrschedulertype: linear
  • —num_epochs: 1

Training results

Training LossEpochStepValidation LossRouge1Rouge2RougelRougelsumGen Len
0.2270.34500000.361979.942173.526779.42479.529216.1650
0.16580.681000000.315082.265776.330381.862281.932916.6232

Framework versions

  • —Transformers 4.27.4
  • —Pytorch 1.11.0a0+b6df043
  • —Datasets 2.11.0
  • —Tokenizers 0.13.2