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cvmil/beit-base-patch16-224_rice-leaf-disease-augmented_fft

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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beit-base-patch16-224rice-leaf-disease-augmentedfft_012825

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

  • —Loss: 0.0274
  • —Accuracy: 0.994

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: 5e-05
  • —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
1.5411.02500.81050.5771
0.36452.05000.93150.1973
0.11293.07500.98050.0676
0.03624.010000.97750.0760
0.01825.012500.9890.0396
0.00976.015000.9920.0349
0.0067.017500.990.0423
0.00578.020000.98750.0488
0.00389.022500.9910.0333
0.004810.025000.9910.0316
0.003311.027500.9930.0300
0.003412.030000.9910.0375
0.002213.032500.99350.0304
0.001814.035000.9940.0282
0.002915.037500.9940.0274

Framework versions

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