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pose-estimation-crop-uncrop – AI Model by LucyintheSky | AlphaNeural AI
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LucyintheSky
/
pose-estimation-crop-uncrop
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transformers
pytorch
vit
image-classification
generated_from_trainer
google/vit-base-patch16-224-in21k
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Crop vs Full Body
Model description
This model predicts whether the person in the image is
cropped
or
full body
. It is trained on
Lucy in the Sky
images.
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: 0.1513
Accuracy: 0.9649
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 20
Framework versions
Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
