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akhileshav8/symptom-check-april-4

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

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symptom-check-april-4

This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.7701

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: 64
  • —evalbatchsize: 64
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 12

Training results

Training LossEpochStepValidation Loss
1.68321.07601.0709
1.06342.015200.9318
0.99033.022800.8711
0.91944.030400.8364
0.89735.038000.8148
0.86686.045600.8001
0.85527.053200.7892
0.83898.060800.7811
0.83339.068400.7770
0.825110.076000.7728
0.823311.083600.7711
0.817712.091200.7701

Framework versions

  • —Transformers 4.38.2
  • —Pytorch 2.2.1+cu121
  • —Datasets 2.18.0
  • —Tokenizers 0.15.2