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

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

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flan-t5-large-clang8-e1-b16

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

  • —Loss: 0.2994
  • —Rouge1: 80.9044
  • —Rouge2: 74.7041
  • —Rougel: 80.3109
  • —Rougelsum: 80.3664
  • —Gen Len: 16.0625

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
0.24320.25360000.401878.444771.365677.755277.845115.9010
0.18370.49720000.378176.882869.999376.058476.147915.4026
0.15110.741080000.328279.789873.32979.160879.241615.9021
0.12670.981440000.299480.904474.704180.310980.366416.0625

Framework versions

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