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radiovers17v
crncskn/radiovers17v
radiovers17v is a machine learning model from crncskn. 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_mae
- Access
- Public
- Created
- Mar 11, 2024
- Updated
- Mar 12, 2024
- SHA
- d33fa822
Datasets
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. -->
radiovers17v
This model is a fine-tuned version of on the /kaggle/radioai/radiology_ai dataset. It achieves the following results on the evaluation set:
- Loss: 0.3269
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: 3.125e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 80.0
Training results
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- vit_mae
- Created
- Mar 11, 2024
- Updated
- Mar 12, 2024