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vit-model-jrbeduardo

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metadata
library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
  - image-classification
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: vit-model-jrbeduardo
    results: []
datasets:
  - AI-Lab-Makerere/beans
widget:
  - src: healthy.jpeg
    example_title: Healthy
  - src: bean_rust.jpeg
    example_title: Bean Rust

vit-model-jrbeduardo

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

  • Loss: 0.0366
  • 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
  • train_batch_size: 8
  • 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 Accuracy
0.1377 3.8462 500 0.0366 0.9925

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.5.0+cu121
  • Datasets 3.1.0
  • Tokenizers 0.19.1