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mrm8488/santacoder-finetuned-the-stack-dockerfiles

sourceHugging Faceopenrailupdated 4y agoView on Hugging Face
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Model Card

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santacoder-finetuned-the-stack-dockerfiles

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

  • Loss: 0.8741

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: 2
  • evalbatchsize: 2
  • seed: 42
  • gradientaccumulationsteps: 4
  • totaltrainbatch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: cosine
  • lrschedulerwarmup_steps: 100
  • training_steps: 10000

Training results

Training LossEpochStepValidation Loss
1.36910.055001.2915
1.2670.110001.1962
1.19980.1515001.1459
1.07530.220001.1130
1.07620.2525001.0797
1.12220.330001.0532
1.05420.3535001.0282
1.08530.440001.0050
1.06190.4545000.9803
1.04840.550000.9587
0.97950.5555000.9501
0.94390.660000.9294
0.96420.6565000.9143
0.9350.770000.9028
0.8360.7575000.8936
0.91280.880000.8844
0.92860.8585000.8795
0.98990.990000.8758
0.83070.9595000.8745
0.93661.0100000.8741

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.13.1+cu116
  • Datasets 2.7.1
  • Tokenizers 0.13.2