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patricksaxton/peft-starcoder-lora-a100

sourceHugging Facebigcode-openrail-mupdated 9mo agoView on Hugging Face
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Model Card

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peft-starcoder-lora-a100

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: 3.3521

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: 12
  • —evalbatchsize: 12
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_steps: 30
  • —training_steps: 2000

Training results

Training LossEpochStepValidation Loss
5.16020.051003.3944
4.91520.12003.3911
4.8640.153003.3850
5.05380.24003.3808
5.04740.255003.3748
5.71740.36003.3669
4.89810.357003.3714
5.30390.48003.3702
5.55440.459003.3721
5.49070.510003.3747
2.89720.5511003.3880
4.68950.612003.3689
4.40270.6513003.3708
5.62170.714003.3690
5.09120.7515003.3651
5.35950.816003.3628
4.36030.8517003.3541
4.77730.918003.3548
3.31490.9519003.3524
4.90321.020003.3521

Framework versions

  • —PEFT 0.18.0
  • —Transformers 4.57.3
  • —Pytorch 2.9.0+cu126
  • —Datasets 4.0.0
  • —Tokenizers 0.22.1