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Model_folder

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

  • Loss: 0.0171
  • Matthews Correlation: 0.9888

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
  • train_batch_size: 32
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4

Training results

Training Loss Epoch Step Validation Loss Matthews Correlation
0.0488 0.91 30 0.1366 0.9449
0.0077 1.82 60 0.0508 0.9775
0.0057 2.73 90 0.0366 0.9888
0.0042 3.64 120 0.0171 0.9888

Framework versions

  • Transformers 4.34.1
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.1
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Finetuned from

Dataset used to train JLB-JLB/Model_folder

Evaluation results