vit-base-image-classification-yenthienviet

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vit-base-image-classification-yenthienviet

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the image-classification-yenthienviet dataset. It achieves the following results on the evaluation set:

• Loss: 0.2380
• Accuracy: 0.9344

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: 16
• 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

Framework versions

• Transformers 4.34.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.14.1