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vit-base-patch16-224-in21k-finetuned-lora-food101 – AI Model by FreddyFazbear0209 | AlphaNeural AI
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FreddyFazbear0209
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vit-base-patch16-224-in21k-finetuned-lora-food101
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peft
tensorboard
safetensors
generated_from_trainer
google/vit-base-patch16-224-in21k
adapter
apache-2.0
us
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vit-base-patch16-224-in21k-finetuned-lora-food101
This model is a fine-tuned version of
google/vit-base-patch16-224-in21k
on an unknown dataset.
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: 0.005
train_batch_size: 128
eval_batch_size: 128
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 512
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Framework versions
PEFT 0.15.2
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2
