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celebrity-classifier-1 – AI Model by tonyassi | AlphaNeural AI
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tonyassi
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celebrity-classifier-1
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transformers
tensorboard
safetensors
vit
image-classification
generated_from_trainer
google/vit-base-patch16-224-in21k
finetune
apache-2.0
endpoints_compatible
us
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Celebrity Classifier 1
Model description
Trained on
tonyassi/celeb-1
dataset.
This model is a fine-tuned version of
google/vit-base-patch16-224-in21k
.
Training and evaluation data
It achieves the following results on the evaluation set:
Loss: 0.8899
Accuracy: 0.8163
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 80
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
