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--- |
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license: apache-2.0 |
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base_model: microsoft/resnet-50 |
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tags: |
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- image-classification |
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- generated_from_trainer |
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datasets: |
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- imagefolder |
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metrics: |
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- accuracy |
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widget: |
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- src: https://huggingface.co/Alex14005/model-Dementia-classification-Alejandro-Arroyo/raw/main/Mild-demented.jpg |
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example_title: Mild Demented |
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- src: https://huggingface.co/Alex14005/model-Dementia-classification-Alejandro-Arroyo/raw/main/No-demented.jpg |
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example_title: Healthy |
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model-index: |
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- name: model-Dementia-classification-Alejandro-Arroyo |
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results: |
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- task: |
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name: Image Classification |
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type: image-classification |
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dataset: |
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name: RiniPL/Dementia_Dataset |
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type: imagefolder |
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config: default |
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split: validation |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9230769230769231 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# model-Dementia-classification-Alejandro-Arroyo |
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This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the RiniPL/Dementia_Dataset dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1858 |
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- Accuracy: 0.9231 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 20 |
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### Training results |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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