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Dataset2-FastViT
Nicole-M/Dataset2-FastViT
Dataset2-FastViT is a image classification model from Nicole-M. Use it when you need a label for an image. It is set up for fastai.
This model is a fine-tuned version of FastViT on the Mammogram V1 dataset. It achieves the following results on the evaluation set: - Loss: 0.8279 - Accuracy: 0.5893
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Public
Updated Aug 28, 2024
Repo size
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At a glance
- Task
- Image Classification
- Library
- fastai
- Access
- Public
- Created
- Aug 15, 2024
- Updated
- Aug 28, 2024
- SHA
- 8e13497f
Model card
From the Hugging Face model README
This model is a fine-tuned version of FastViT on the Mammogram V1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.8279
- Accuracy: 0.5893
Model description
More information needed
Intended uses & limitations
More information needed
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
Training and evaluation data
Framework Versions
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- FastAi
- Task
- Image Classification
- Library
- fastai
- Created
- Aug 15, 2024
- Updated
- Aug 28, 2024