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vit-base-patch16-224-in21k-loHa – AI Model by geshijoker | AlphaNeural AI

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geshijoker/
vit-base-patch16-224-in21k-loHa

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google/vit-base-patch16-224-in21k

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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