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nouman-10/unsupervised-comb-fine-tune-bert-exist

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

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unsupervised-comb-fine-tune-bert-exist

This model is a fine-tuned version of nouman-10/unsupervised-comb-cased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.6605
  • Accuracy: 0.7703
  • F1: 0.7703

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: 10

Training results

Training LossEpochStepValidation LossAccuracyF1
No log1.01940.50930.75870.7587
No log2.03880.52650.77910.7791
0.4173.05820.66280.78200.7820
0.4174.07761.15580.77030.7703
0.4175.09701.39170.75870.7587
0.08146.011641.43480.76160.7616
0.08147.013581.51830.77330.7733
0.00928.015521.58070.77330.7733
0.00929.017461.66430.77030.7703
0.009210.019401.66050.77030.7703

Framework versions

  • Transformers 4.27.1
  • Pytorch 1.13.1+cu116
  • Datasets 2.10.1
  • Tokenizers 0.13.2