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cy948/starcoder-peft-airscript

sourceHugging Facebigcode-openrail-mupdated 2y agoView on Hugging Face
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Model Card

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starcoder-peft-airscript

This model is a fine-tuned version of bigcode/starcoderbase-1b on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7248

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: 0.0005
  • trainbatchsize: 10
  • evalbatchsize: 10
  • seed: 42
  • gradientaccumulationsteps: 2
  • totaltrainbatch_size: 20
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: cosine
  • lrschedulerwarmup_steps: 30
  • training_steps: 1600

Training results

Training LossEpochStepValidation Loss
1.25970.06251001.1604
0.95910.1252000.9402
0.81090.18753000.8431
0.71510.254000.7917
0.63620.31255000.7607
0.57590.3756000.7401
0.52840.43757000.7334
0.49260.58000.7252
0.46160.56259000.7212
0.43690.62510000.7236
0.41110.687511000.7255
0.39690.7512000.7236
0.38550.812513000.7260
0.38220.87514000.7262
0.37680.937515000.7256
0.37781.016000.7248

Framework versions

  • PEFT 0.13.2
  • Transformers 4.45.2
  • Pytorch 2.5.0
  • Datasets 3.0.1
  • Tokenizers 0.20.1