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jlpan/starcoder-java2py-program2

sourceHugging Facebigcode-openrail-mupdated 3y agoView on Hugging Face
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starcoder-java2py-program2

This model is a fine-tuned version of bigcode/starcoder on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1110

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: 2e-05
  • trainbatchsize: 4
  • evalbatchsize: 4
  • seed: 42
  • gradientaccumulationsteps: 8
  • totaltrainbatch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: cosine
  • lrschedulerwarmup_steps: 10
  • training_steps: 150

Training results

Training LossEpochStepValidation Loss
0.11280.17250.1122
0.11480.33500.1116
0.11270.5750.1113
0.11490.671000.1111
0.11710.831250.1110
0.11491.041500.1110

Framework versions

  • PEFT 0.5.0.dev0
  • PEFT 0.5.0.dev0
  • Transformers 4.32.0.dev0
  • Pytorch 2.0.1+cu117
  • Datasets 2.12.0
  • Tokenizers 0.13.3