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Zohar/distilgpt2-finetuned-restaurant-reviews

sourceHugging Faceapache-2.0updated 5y agoView on Hugging Face
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Model Card

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distilgpt2-finetuned-restaurant-reviews

This model is a fine-tuned version of distilgpt2 on a subset of the Yelp restaurant reviews dataset. It achieves the following results on the evaluation set:

  • —Loss: 3.4668

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: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 3.0

Training results

Training LossEpochStepValidation Loss
3.63311.025363.5280
3.56762.050723.4793
3.54383.076083.4668

Framework versions

  • —Transformers 4.16.2
  • —Pytorch 1.10.2+cu102
  • —Datasets 1.18.2
  • —Tokenizers 0.11.0