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TimmyOuO/TestModel

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

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TestModel

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: 0.8087
  • Matthews Correlation: 0.5481

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: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lrschedulertype: linear
  • num_epochs: 5

Training results

Training LossEpochStepValidation LossMatthews Correlation
0.51761.05350.46070.4501
0.34762.010700.47840.5344
0.23423.016050.61800.5253
0.17064.021400.77540.5402
0.12515.026750.80870.5481

Framework versions

  • Transformers 5.5.4
  • Pytorch 2.10.0+cu128
  • Datasets 2.21.0
  • Tokenizers 0.22.2