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
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Model tree for Alex14005/model-Dementia-classification-Alejandro-Arroyo
Base model
microsoft/resnet-50Evaluation results
- Accuracy on RiniPL/Dementia_Datasetvalidation set self-reported0.923