metadata
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: alzheimer_classification
results: []
alzheimer_classification
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3183
- F1: 0.8946
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 128 | 0.8686 | 0.5548 |
| No log | 2.0 | 256 | 0.8457 | 0.6087 |
| No log | 3.0 | 384 | 0.7396 | 0.6478 |
| 0.8172 | 4.0 | 512 | 0.6833 | 0.6826 |
| 0.8172 | 5.0 | 640 | 0.6280 | 0.7205 |
| 0.8172 | 6.0 | 768 | 0.5347 | 0.7727 |
| 0.8172 | 7.0 | 896 | 0.5108 | 0.7909 |
| 0.5292 | 8.0 | 1024 | 0.4707 | 0.8078 |
| 0.5292 | 9.0 | 1152 | 0.4477 | 0.8302 |
| 0.5292 | 10.0 | 1280 | 0.4075 | 0.8511 |
| 0.5292 | 11.0 | 1408 | 0.4263 | 0.8380 |
| 0.3498 | 12.0 | 1536 | 0.3558 | 0.8756 |
| 0.3498 | 13.0 | 1664 | 0.3768 | 0.8558 |
| 0.3498 | 14.0 | 1792 | 0.3412 | 0.8701 |
| 0.3498 | 15.0 | 1920 | 0.3028 | 0.8952 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1