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jlpan/starcoder-js2py-snippet1

sourceHugging Facebigcode-openrail-mupdated 3y agoView on Hugging Face
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starcoder-js2py-snippet1

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

  • Loss: 0.2059

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: 9e-05
  • trainbatchsize: 32
  • evalbatchsize: 32
  • seed: 42
  • gradientaccumulationsteps: 8
  • totaltrainbatch_size: 256
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: cosine
  • lrschedulerwarmup_steps: 15
  • training_steps: 150

Training results

Training LossEpochStepValidation Loss
4.33040.17250.5020
0.32960.33500.2289
0.23410.5750.2134
0.21930.671000.2088
0.19891.021250.2066
0.21871.191500.2059

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