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SWIN_BASE_PRETRAINED
majorSeaweed/SWIN_BASE_PRETRAINED
SWIN_BASE_PRETRAINED is a image classification model from majorSeaweed. Use it when you need a label for an image. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- Model type
- swinv2
- Access
- Public
- Created
- Nov 15, 2024
- Updated
- Nov 15, 2024
- SHA
- 45b7bbdf
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. -->
SWIN_BASE_PRETRAINED
This model was trained from scratch 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: 8e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
- Task
- Image Classification
- Library
- transformers
- Type
- swinv2
- Created
- Nov 15, 2024
- Updated
- Nov 15, 2024