vit-base-VietnameseFood

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vit-base-VietnameseFood

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on a Vietnamese Food dataset (https://huggingface.co/datasets/TuyenTrungLe/vietnamese_food_images) with More than 17k images were on the train set, 2k5 were on the validation set, and 5k were on the test set.

It achieves the following results on the evaluation set:

• Loss: 1.2489
• Accuracy: 0.8925

Although the loss is quite high, the model predicted well with test set with 0.8639 accuracy and a loss of 0.4871

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: 6
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.2.0
• Tokenizers 0.19.1