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vit_lora – AI Model by 1ancelot | AlphaNeural AI
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1ancelot
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vit_lora
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peft
safetensors
generated_from_trainer
google/vit-base-patch16-224
adapter
apache-2.0
us
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lora
This model is a fine-tuned version of
google/vit-base-patch16-224
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 25
mixed_precision_training: Native AMP
label_smoothing_factor: 0.1
Training results
Framework versions
PEFT 0.13.2
Transformers 4.45.2
Pytorch 2.5.1+cu124
Datasets 3.0.1
Tokenizers 0.20.1
