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cvmil/vit-base-patch16-224_rice-leaf-disease-augmented_tl

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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vit-base-patch16-224rice-leaf-disease-augmentedtl_020125

This model is a fine-tuned version of google/vit-base-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.6522
  • —Accuracy: 0.7885

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: 0.0001
  • —trainbatchsize: 64
  • —evalbatchsize: 64
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.1
  • —num_epochs: 15

Training results

Training LossEpochStepAccuracyValidation Loss
2.0231.02500.4061.7331
1.43392.05000.6381.1983
1.08913.07500.69850.9888
0.93874.010000.7280.8833
0.85195.012500.74550.8170
0.79336.015000.75750.7714
0.75157.017500.76350.7390
0.72088.020000.76950.7137
0.69679.022500.7740.6958
0.678710.025000.77950.6809
0.664411.027500.7830.6697
0.653912.030000.78250.6619
0.646313.032500.78750.6563
0.641114.035000.7890.6533
0.638515.037500.78850.6522

Framework versions

  • —Transformers 4.47.1
  • —Pytorch 2.5.1+cu124
  • —Datasets 3.2.0
  • —Tokenizers 0.21.0