CoolFace
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Jeongmoon/disease_detector_7B

sourceHugging Faceapache-2.0updated 11mo agoView on Hugging Face
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Model Card

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diseasedetector7B

This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.4272
  • —Accuracy: 0.8881

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: 1e-05
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 5

Training results

Training LossEpochStepAccuracyValidation Loss
No log1.02260.84580.4047
No log2.04520.87560.3787
0.43573.06780.88810.4272
0.43574.09040.88560.4874
0.1485.011300.88810.4925

Framework versions

  • —PEFT 0.17.1
  • —Transformers 4.57.1
  • —Pytorch 2.6.0+cu124
  • —Datasets 4.2.0
  • —Tokenizers 0.22.1