| --- |
| license: apache-2.0 |
| base_model: google/vit-base-patch16-224 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - imagefolder |
| metrics: |
| - accuracy |
| model-index: |
| - name: vit-base-patch16-224-classifier |
| 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: 0.7313780260707635 |
| --- |
| |
| <!-- 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. --> |
|
|
| # vit-base-patch16-224-classifier |
|
|
| This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5720 |
| - Accuracy: 0.7314 |
|
|
| ## 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-06 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 16 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.2 |
| - num_epochs: 20 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | 0.646 | 1.0 | 537 | 0.6400 | 0.6420 | |
| | 0.5941 | 2.0 | 1074 | 0.5874 | 0.6974 | |
| | 0.5259 | 3.0 | 1611 | 0.5849 | 0.7142 | |
| | 0.5459 | 4.0 | 2148 | 0.5645 | 0.7197 | |
| | 0.5086 | 5.0 | 2685 | 0.5554 | 0.7230 | |
| | 0.5397 | 6.0 | 3222 | 0.5540 | 0.7295 | |
| | 0.5646 | 7.0 | 3759 | 0.5491 | 0.7272 | |
| | 0.4564 | 8.0 | 4296 | 0.5771 | 0.7235 | |
| | 0.4951 | 9.0 | 4833 | 0.5518 | 0.7267 | |
| | 0.5074 | 10.0 | 5370 | 0.5556 | 0.7300 | |
| | 0.5512 | 11.0 | 5907 | 0.5739 | 0.7165 | |
| | 0.5003 | 12.0 | 6444 | 0.5648 | 0.7235 | |
| | 0.4442 | 13.0 | 6981 | 0.5581 | 0.7230 | |
| | 0.4787 | 14.0 | 7518 | 0.5556 | 0.7402 | |
| | 0.4944 | 15.0 | 8055 | 0.5589 | 0.7342 | |
| | 0.4678 | 16.0 | 8592 | 0.5567 | 0.7379 | |
| | 0.5569 | 17.0 | 9129 | 0.5601 | 0.7314 | |
| | 0.4164 | 18.0 | 9666 | 0.5619 | 0.7365 | |
| | 0.4406 | 19.0 | 10203 | 0.5711 | 0.7309 | |
| | 0.453 | 20.0 | 10740 | 0.5720 | 0.7314 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.39.0.dev0 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
|
|
