| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: google/vit-base-patch32-224-in21k |
| tags: |
| - generated_from_trainer |
| datasets: |
| - imagefolder |
| metrics: |
| - accuracy |
| model-index: |
| - name: results |
| 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: 0.45625 |
| --- |
| |
| <!-- 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. --> |
|
|
| # results |
|
|
| This model is a fine-tuned version of [google/vit-base-patch32-224-in21k](https://huggingface.co/google/vit-base-patch32-224-in21k) on the imagefolder dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.4692 |
| - Accuracy: 0.4562 |
|
|
| ## 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: 15 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.7426 | 1.0 | 40 | 1.4692 | 0.4562 | |
| | 0.4647 | 2.0 | 80 | 1.5033 | 0.4313 | |
| | 0.2527 | 3.0 | 120 | 1.5517 | 0.4813 | |
| | 0.1551 | 4.0 | 160 | 1.6071 | 0.4688 | |
| | 0.113 | 5.0 | 200 | 1.6474 | 0.475 | |
| | 0.0914 | 6.0 | 240 | 1.6752 | 0.45 | |
| | 0.0774 | 7.0 | 280 | 1.7003 | 0.45 | |
| | 0.0698 | 8.0 | 320 | 1.7336 | 0.4437 | |
| | 0.063 | 9.0 | 360 | 1.7595 | 0.45 | |
| | 0.0583 | 10.0 | 400 | 1.7778 | 0.4437 | |
| | 0.0551 | 11.0 | 440 | 1.7938 | 0.4375 | |
| | 0.0531 | 12.0 | 480 | 1.8082 | 0.4375 | |
| | 0.0509 | 13.0 | 520 | 1.8176 | 0.4437 | |
| | 0.0499 | 14.0 | 560 | 1.8230 | 0.4375 | |
| | 0.0494 | 15.0 | 600 | 1.8249 | 0.4375 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.44.2 |
| - Pytorch 2.4.1 |
| - Datasets 2.21.0 |
| - Tokenizers 0.19.1 |
|
|
