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mrm8488/santacoder-finetuned-the-stack-bash-3

sourceHugging Faceopenrailupdated 4y agoView on Hugging Face
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Model Card

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santacoder-finetuned-the-stack-bash-3

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

  • Loss: nan

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: 5e-05
  • trainbatchsize: 1
  • evalbatchsize: 1
  • seed: 42
  • gradientaccumulationsteps: 4
  • totaltrainbatch_size: 4
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: cosine
  • lrschedulerwarmup_steps: 100
  • training_steps: 5000
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
0.00.1500nan
0.00.21000nan
0.00.31500nan
0.00.42000nan
0.00.52500nan
0.00.63000nan
0.00.73500nan
0.00.84000nan
0.00.94500nan
0.01.05000nan

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.13.1+cu116
  • Datasets 2.8.0
  • Tokenizers 0.13.2