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flyover19/santacoder-finetuned-the-stack-bash

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

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santacoder-finetuned-the-stack-bash

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

  • —Loss: 0.2202

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

Training results

Training LossEpochStepValidation Loss
1.75640.15001.3213
1.67570.210004.5570
1.66680.315007.4934
0.45050.420000.4260
1.66040.525000.5150
1.65520.630000.5775
1.64810.735000.6173
1.6560.840000.2171
1.65540.945000.2198
1.65631.050000.2202

Framework versions

  • —Transformers 4.33.3
  • —Pytorch 2.0.1
  • —Datasets 2.14.5
  • —Tokenizers 0.13.3