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Alan-Shih/homework_1

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

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homework_1

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

  • Loss: 0.8327
  • Matthews Correlation: 0.5298

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: 5

Training results

Training LossEpochStepValidation LossMatthews Correlation
0.51561.05350.45250.4464
0.3422.010700.47310.5198
0.23093.016050.66470.5153
0.17054.021400.79390.5166
0.12685.026750.83270.5298

Framework versions

  • Transformers 4.39.1
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2