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FFPP-Raw_1FPS_faces-expand-40-aligned_train-no-ealuate_val-ds-dataset-test
hchcsuim/FFPP-Raw_1FPS_faces-expand-40-aligned_train-no-ealuate_val-ds-dataset-test
FFPP-Raw_1FPS_faces-expand-40-aligned_train-no-ealuate_val-ds-dataset-test is a image classification model from hchcsuim. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Task
- Image Classification
- Library
- transformers
- Type
- swin
- License
- apache-2.0
- Created
- Mar 30, 2024
- Updated
- Mar 30, 2024