metadata

license: apache-2.0
tags:
  - image-classification
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: vit-base-uppercase-english-characters
    results: []

vit-base-uppercase-english-characters

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

Loss: 0.3840
Accuracy: 1.0

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:

learning_rate: 0.0002
train_batch_size: 32
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3936	3.03	100	0.3840	1.0

Framework versions

Transformers 4.26.1
Pytorch 1.13.0
Datasets 2.1.0
Tokenizers 0.13.2