CoolFace
Modelpublic

Jeongmoon/disease_detector_3B

sourceHugging Faceotherupdated 11mo agoView on Hugging Face
0likes8downloads
Model Card

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

diseasedetector3B

This model is a fine-tuned version of Qwen/Qwen2.5-3B-Instruct on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.3141
  • —Accuracy: 0.8949

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 log1.02240.80370.4428
No log2.04480.88080.2934
0.41233.06720.88080.2738
0.41234.08960.89490.3141
0.17425.011200.89250.3097

Framework versions

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