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--- |
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license: apache-2.0 |
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base_model: google/vit-base-patch16-224-in21k |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: alzheimer_classification |
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results: [] |
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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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# alzheimer_classification |
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3183 |
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- F1: 0.8946 |
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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: 32 |
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- eval_batch_size: 32 |
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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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| No log | 1.0 | 128 | 0.8686 | 0.5548 | |
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| No log | 2.0 | 256 | 0.8457 | 0.6087 | |
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| No log | 3.0 | 384 | 0.7396 | 0.6478 | |
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| 0.8172 | 4.0 | 512 | 0.6833 | 0.6826 | |
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| 0.8172 | 5.0 | 640 | 0.6280 | 0.7205 | |
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| 0.8172 | 6.0 | 768 | 0.5347 | 0.7727 | |
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| 0.8172 | 7.0 | 896 | 0.5108 | 0.7909 | |
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| 0.5292 | 8.0 | 1024 | 0.4707 | 0.8078 | |
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| 0.5292 | 9.0 | 1152 | 0.4477 | 0.8302 | |
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| 0.5292 | 10.0 | 1280 | 0.4075 | 0.8511 | |
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| 0.5292 | 11.0 | 1408 | 0.4263 | 0.8380 | |
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| 0.3498 | 12.0 | 1536 | 0.3558 | 0.8756 | |
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| 0.3498 | 13.0 | 1664 | 0.3768 | 0.8558 | |
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| 0.3498 | 14.0 | 1792 | 0.3412 | 0.8701 | |
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| 0.3498 | 15.0 | 1920 | 0.3028 | 0.8952 | |
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### Framework versions |
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- Transformers 4.41.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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