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Iloriayomide/my-symptom-checker-biobert

sourceHugging Facemitupdated 8mo agoView on Hugging Face
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Model Card

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my-symptom-checker-biobert

This model is a fine-tuned version of emilyalsentzer/Bio_ClinicalBERT on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1376

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: 32
  • evalbatchsize: 32
  • 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: 20
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
No log1.0302.9013
No log2.0602.4887
No log3.0902.0553
No log4.01201.6494
No log5.01501.3190
No log6.01801.0499
No log7.02100.8211
No log8.02400.6230
No log9.02700.4702
No log10.03000.3656
No log11.03300.2884
No log12.03600.2331
No log13.03900.1986
No log14.04200.1808
No log15.04500.1630
No log16.04800.1546
0.987317.05100.1469
0.987318.05400.1409
0.987319.05700.1378
0.987320.06000.1376

Framework versions

  • Transformers 4.57.1
  • Pytorch 2.9.1+cu128
  • Datasets 4.4.1
  • Tokenizers 0.22.1