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akhileshav8/symptom-check-april-3

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

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symptom-check-april-3

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

  • —Loss: 0.6371

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: 10

Training results

Training LossEpochStepValidation Loss
1.43941.09250.8613
0.88972.018500.7525
0.79713.027750.7043
0.75054.037000.6795
0.72535.046250.6628
0.70796.055500.6519
0.69997.064750.6450
0.6928.074000.6404
0.68599.083250.6379
0.682110.092500.6371

Framework versions

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