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vit-base-beans

Image Classification
Transformers
Safetensors
vit
vision
Generated from Trainer
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metadata
library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
  - image-classification
  - vision
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: vit-base-beans
    results: []

vit-base-beans

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: 0.0628
  • 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: 2e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 1337
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 5.0

Training results

Training Loss Epoch Step Accuracy Validation Loss
0.2816 1.0 130 0.9624 0.2185
0.1309 2.0 260 0.9699 0.1300
0.1404 3.0 390 0.9774 0.0964
0.0866 4.0 520 0.9925 0.0628
0.1156 5.0 650 0.9850 0.0830

Framework versions

  • Transformers 4.46.0.dev0
  • Pytorch 2.3.0
  • Datasets 2.19.1
  • Tokenizers 0.20.1