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jlpan/starcoder-tune-cpp2py-program3

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

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starcoder-tune-cpp2py-program3

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

  • —Loss: 0.2668

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: 4e-06
  • —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
0.29260.1500.2730
0.29370.21000.2679
0.28860.31500.2671
0.28530.42000.2669
0.28910.52500.2669
0.28680.63000.2668
0.28470.73500.2668
0.28820.84000.2668
0.28460.94500.2668
0.28931.05000.2668

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