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ron-the-code/DEP_BERT_Classification

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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DEPBERTClassification

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

  • —Loss: 0.0000

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.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 3

Training results

Training LossEpochStepValidation Loss
0.00011.0770.0001
0.02.01540.0000
0.03.02310.0000

Framework versions

  • —Transformers 4.47.1
  • —Pytorch 2.5.1+cu121
  • —Tokenizers 0.21.0