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FFPP-Raw_1FPS_faces-expand-40-aligned_train-no-ealuate_val-ds-dataset-test – AI Model by hchcsuim | AlphaNeural AI
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FFPP-Raw_1FPS_faces-expand-40-aligned_train-no-ealuate_val-ds-dataset-test
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transformers
tensorboard
safetensors
swin
image-classification
generated_from_trainer
imagefolder
microsoft/swin-tiny-patch4-window7-224
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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FFPP-Raw_1FPS_faces-expand-40-aligned_train-no-ealuate_val-ds-dataset-test
This model is a fine-tuned version of
microsoft/swin-tiny-patch4-window7-224
on the imagefolder 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: 16
eval_batch_size: 8
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: 3
Training results
Framework versions
Transformers 4.39.2
Pytorch 2.2.2
Datasets 2.18.0
Tokenizers 0.15.2
