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test_ViT-Masked_5
ppak10/test_ViT-Masked_5
test_ViT-Masked_5 is a machine learning model from ppak10. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- vit
- Access
- Public
- Created
- May 4, 2024
- Updated
- May 4, 2024
- SHA
- b17e998a
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. -->
test_ViT-Masked_5
This model is a fine-tuned version of on the ppak10/Melt-Pool-Thermal-Images 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: 1e-05
- train_batch_size: 2048
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
Framework versions
- Transformers 4.40.1
- Pytorch 2.0.1+cu117
- Datasets 2.19.0
- Tokenizers 0.19.1
- Library
- transformers
- Type
- vit
- Created
- May 4, 2024
- Updated
- May 4, 2024