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notlath/BioClinical-ModernBERT-base-Symptom2Disease_WITH-DROPOUT-1024

sourceHugging Facemitupdated 1y agoView on Hugging Face
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BioClinical-ModernBERT-base-Symptom2Disease_WITH-DROPOUT-1024

This model is a fine-tuned version of thomas-sounack/BioClinical-ModernBERT-base on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.5515
  • —Accuracy: 0.9545

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: 7.359552467551551e-05
  • —trainbatchsize: 128
  • —evalbatchsize: 16
  • —seed: 1024
  • —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_steps: 2
  • —num_epochs: 8
  • —labelsmoothingfactor: 0.1

Training results

Training LossEpochStepValidation LossAccuracy
1.59451.031.22030.4091
1.27822.060.85030.8409
0.90453.090.63540.9091
0.64344.0120.51340.8864
0.55885.0150.51560.9773
0.53026.0180.55040.9545
0.53457.0210.55810.9318
0.53048.0240.55150.9545

Framework versions

  • —Transformers 4.56.2
  • —Pytorch 2.8.0+cu126
  • —Datasets 4.0.0
  • —Tokenizers 0.22.1