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jlpan/starcoder-finetuned-text2code

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

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starcoder-finetuned-text2code

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

  • Loss: 0.9267

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: 0.0001
  • 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: 100
  • training_steps: 600

Training results

Training LossEpochStepValidation Loss
1.11220.171000.9820
0.83570.332000.9464
0.79770.53000.9342
0.78080.674000.9294
0.78070.835000.9268
0.77481.06000.9267

Framework versions

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