CoolFace
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ananyarn/python_code_from_algo

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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pythoncodefrom_algo

This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the generator dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5718

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: 2e-05
  • trainbatchsize: 4
  • evalbatchsize: 4
  • seed: 42
  • gradientaccumulationsteps: 4
  • totaltrainbatch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: constant
  • lrschedulerwarmup_ratio: 0.03
  • training_steps: 250

Training results

Training LossEpochStepValidation Loss
0.83440.09500.7093
0.64620.181000.6182
0.58220.271500.5691
0.56250.362000.5667
0.54980.442500.5718

Framework versions

  • PEFT 0.8.2
  • Transformers 4.37.2
  • Pytorch 2.2.0
  • Datasets 2.16.1
  • Tokenizers 0.15.1