| --- |
| license: apache-2.0 |
| base_model: google/vit-base-patch16-224-in21k |
| tags: |
| - generated_from_trainer |
| datasets: |
| - imagefolder |
| metrics: |
| - accuracy |
| model-index: |
| - name: image_classification |
| results: |
| - task: |
| name: Image Classification |
| type: image-classification |
| dataset: |
| name: imagefolder |
| type: imagefolder |
| config: default |
| split: train |
| args: default |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.61875 |
| --- |
| |
| <!-- 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. --> |
|
|
| # image_classification |
| |
| This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.1196 |
| - Accuracy: 0.6188 |
| |
| ## 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: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 20 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 40 | 1.8353 | 0.4 | |
| | No log | 2.0 | 80 | 1.5508 | 0.5062 | |
| | No log | 3.0 | 120 | 1.4576 | 0.45 | |
| | No log | 4.0 | 160 | 1.3557 | 0.5062 | |
| | No log | 5.0 | 200 | 1.2596 | 0.5687 | |
| | No log | 6.0 | 240 | 1.2627 | 0.5125 | |
| | No log | 7.0 | 280 | 1.1809 | 0.5687 | |
| | No log | 8.0 | 320 | 1.1993 | 0.575 | |
| | No log | 9.0 | 360 | 1.2327 | 0.5375 | |
| | No log | 10.0 | 400 | 1.1796 | 0.5938 | |
| | No log | 11.0 | 440 | 1.1102 | 0.6062 | |
| | No log | 12.0 | 480 | 1.2828 | 0.5375 | |
| | 1.0547 | 13.0 | 520 | 1.1936 | 0.5875 | |
| | 1.0547 | 14.0 | 560 | 1.2056 | 0.5563 | |
| | 1.0547 | 15.0 | 600 | 1.2566 | 0.5625 | |
| | 1.0547 | 16.0 | 640 | 1.1936 | 0.6438 | |
| | 1.0547 | 17.0 | 680 | 1.1728 | 0.5813 | |
| | 1.0547 | 18.0 | 720 | 1.2201 | 0.5875 | |
| | 1.0547 | 19.0 | 760 | 1.2704 | 0.5563 | |
| | 1.0547 | 20.0 | 800 | 1.2232 | 0.5375 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.41.1 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
| |
