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sharoz/codegen-350M-mono-custom-functions-dataset-python_v2

sourceHugging Facebsd-3-clauseupdated 3y agoView on Hugging Face
2likes113downloads
Model Card

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codegen-350M-mono-custom-functions-dataset-python_v2

This model is a fine-tuned version of Salesforce/codegen-350M-mono on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.2820

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: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 5

Training results

Training LossEpochStepValidation Loss
No log1.0360.3738
No log2.0720.2897
No log3.01080.2621
No log4.01440.2754
No log5.01800.2820

Framework versions

  • —Transformers 4.28.1
  • —Pytorch 2.0.0+cu118
  • —Datasets 2.12.0
  • —Tokenizers 0.13.3