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jlpan/starcoder-tune-cpp2py-program1

sourceHugging Facebigcode-openrail-mupdated 3y agoView on Hugging Face
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Model Card

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starcoder-tune-cpp2py-program1

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

  • Loss: 0.2677

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: 1
  • evalbatchsize: 1
  • seed: 42
  • gradientaccumulationsteps: 16
  • totaltrainbatch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: cosine
  • lrschedulerwarmup_steps: 50
  • training_steps: 500

Training results

Training LossEpochStepValidation Loss
0.31640.1500.2789
0.2990.21000.2729
0.30010.31500.2711
0.29020.42000.2699
0.28920.52500.2692
0.29360.63000.2686
0.28720.73500.2680
0.28720.84000.2678
0.29130.94500.2677
0.28481.05000.2677

Framework versions

  • PEFT 0.5.0.dev0
  • PEFT 0.5.0.dev0
  • PEFT 0.5.0.dev0
  • PEFT 0.5.0.dev0
  • PEFT 0.5.0.dev0
  • PEFT 0.5.0.dev0
  • PEFT 0.5.0.dev0
  • PEFT 0.5.0.dev0
  • 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