CoolFace
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one-thousand-ai/beans_model

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

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beans_model

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0264
  • Model Preparation Time: 0.0048
  • Accuracy: 0.9925

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: 0.0002
  • trainbatchsize: 16
  • evalbatchsize: 8
  • seed: 42
  • optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • lrschedulertype: linear
  • num_epochs: 4
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossModel Preparation TimeAccuracy
0.10681.53851000.03070.00481.0
0.03163.07692000.02640.00480.9925

Framework versions

  • Transformers 4.46.3
  • Pytorch 2.5.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.20.3