metadata

license: apache-2.0
tags:
  - image-classification
  - tensorflow
  - vision
  - generated_from_keras_callback
model-index:
  - name: amyeroberts/vit-base-beans
    results: []

amyeroberts/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:

Train Loss: 0.6342
Train Accuracy: 0.9925
Validation Loss: 0.2390
Validation Accuracy: 0.9925
Epoch: 0

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:

optimizer: {'name': 'Adam', 'global_clipnorm': 1.0, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 5170, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
0.6342	0.9925	0.2390	0.9925	0

Framework versions

Transformers 4.24.0.dev0
TensorFlow 2.10.0
Datasets 2.6.2.dev0
Tokenizers 0.12.1