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vit-base-beans-1

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metadata
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-1
    results: []

Visualize in Weights & Biases

vit-base-beans-1

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: 1.1599
  • Accuracy: 0.125

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2.0

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 1 1.1599 0.125
No log 2.0 2 1.1626 0.0

Framework versions

  • Transformers 4.41.0.dev0
  • Pytorch 2.3.0
  • Datasets 2.15.1.dev0
  • Tokenizers 0.19.1