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model-Dementia-classification-Alejandro-Arroyo
Alex14005/model-Dementia-classification-Alejandro-Arroyo
model-Dementia-classification-Alejandro-Arroyo is a image classification model from Alex14005. 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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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Sep 17, 2023
- Updated
- Sep 17, 2023
- SHA
- a99889bd
Base models
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. -->
model-Dementia-classification-Alejandro-Arroyo
This model is a fine-tuned version of microsoft/resnet-50 on the RiniPL/Dementia_Dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.1858
- Accuracy: 0.9231
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: 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: 20
Training results
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Sep 17, 2023
- Updated
- Sep 17, 2023