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Warkawik/code_example

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

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code_example

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: 1.0596

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: 16
  • evalbatchsize: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: cosine
  • lrschedulerwarmup_steps: 30
  • training_steps: 2000

Training results

Training LossEpochStepValidation Loss
0.96620.051000.9184
0.98990.12000.9461
0.65170.153000.9698
0.89630.24000.9823
0.94980.255000.9727
0.57410.36001.0098
0.79850.357001.0212
0.82680.48001.0123
0.52090.459001.0178
0.75120.510001.0302
0.77180.5511001.0342
0.47460.612001.0492
0.69640.6513001.0394
0.68440.714001.0471
0.53960.7515001.0495
0.65690.816001.0553
0.60050.8517001.0609
0.60150.918001.0632
0.55520.9519001.0620
0.58831.020001.0596

Framework versions

  • PEFT 0.8.2
  • Transformers 4.37.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.17.1
  • Tokenizers 0.15.2