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lmeninato/flan-t5-base-codesearchnet-python3

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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flan-t5-base-codesearchnet-python3

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: 0.0641
  • Rouge1: 0.6352
  • Rouge2: 0.6162
  • Avg Length: 16.995

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: 16
  • evalbatchsize: 16
  • seed: 42
  • gradientaccumulationsteps: 16
  • totaltrainbatch_size: 256
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 5

Training results

Training LossEpochStepValidation LossRouge1Rouge2Avg Length
No log1.03923.17230.2260.129618.7624
No log2.0782.94250.00410.00220.5596
No log3.01170.23510.00.00.0016
No log3.991560.07190.62450.605817.041
No log4.991950.06410.63520.616216.995

Framework versions

  • Transformers 4.28.1
  • Pytorch 2.0.0+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3