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illusion002/Foodgpt

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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Foodgpt

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

  • eval_loss: 3.7496
  • eval_runtime: 0.016
  • evalsamplesper_second: 62.416
  • evalstepsper_second: 62.416
  • epoch: 100.0
  • step: 100

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: 32
  • evalbatchsize: 64
  • seed: 42
  • optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • lrschedulertype: linear
  • num_epochs: 100
  • mixedprecisiontraining: Native AMP

Framework versions

  • Transformers 4.47.0
  • Pytorch 2.5.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.21.0