CoolFace
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jenniferjane/test_trainer

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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Model Card

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test_trainer

This model is a fine-tuned version of distilbert-base-cased on the yelpreviewfull dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.1033
  • —Accuracy: 0.628

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: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 3

Training results

Training LossEpochStepValidation LossAccuracy
1.04731.012500.93730.59
0.73622.025000.96530.611
0.46923.037501.10330.628

Framework versions

  • —Transformers 4.21.3
  • —Pytorch 1.12.1+cu113
  • —Datasets 2.4.0
  • —Tokenizers 0.12.1