vit-base-patch16-224-in21k-loHa

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on food101 dataset.

• trainable params: 1,257,317 || all params: 87,133,642 || trainable%: 1.4430

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.005
• train_batch_size: 256
• eval_batch_size: 256
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 1024
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5
• mixed_precision_training: Native AMP

Framework versions

• PEFT 0.11.1
• Transformers 4.43.4
• Pytorch 2.2.1+cu118
• Datasets 2.21.0
• Tokenizers 0.19.1