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ashabrawy/bert-base-uncased_peft_distillation

sourceHugging Faceupdated 3y agoView on Hugging Face
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bert-base-uncasedpeftdistillation

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5193
  • Accuracy: 0.8443

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: 0.0001
  • trainbatchsize: 16
  • evalbatchsize: 8
  • seed: 42
  • gradientaccumulationsteps: 2
  • totaltrainbatch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • lrschedulerwarmup_ratio: 0.1
  • num_epochs: 6

Training results

Training LossEpochStepValidation LossAccuracy
1.98161.395000.97140.7000
0.70932.7810000.65620.7850
0.36464.1715000.54730.8269
0.20055.5620000.49670.8446

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.2.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.1