| --- |
| 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: 0.53125 |
| --- |
| |
| <!-- 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: 1.3935 |
| - Accuracy: 0.5312 |
| |
| ## 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: 1e-07 |
| - train_batch_size: 27 |
| - eval_batch_size: 27 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 27 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 24 | 1.3599 | 0.5188 | |
| | No log | 2.0 | 48 | 1.4076 | 0.475 | |
| | No log | 3.0 | 72 | 1.3638 | 0.5375 | |
| | No log | 4.0 | 96 | 1.4062 | 0.5375 | |
| | No log | 5.0 | 120 | 1.3665 | 0.5563 | |
| | No log | 6.0 | 144 | 1.3475 | 0.575 | |
| | No log | 7.0 | 168 | 1.3814 | 0.525 | |
| | No log | 8.0 | 192 | 1.3791 | 0.5437 | |
| | No log | 9.0 | 216 | 1.3692 | 0.5125 | |
| | No log | 10.0 | 240 | 1.4024 | 0.5188 | |
| | No log | 11.0 | 264 | 1.3544 | 0.5687 | |
| | No log | 12.0 | 288 | 1.4049 | 0.5375 | |
| | No log | 13.0 | 312 | 1.3539 | 0.5687 | |
| | No log | 14.0 | 336 | 1.3936 | 0.5062 | |
| | No log | 15.0 | 360 | 1.3643 | 0.5375 | |
| | No log | 16.0 | 384 | 1.3618 | 0.5563 | |
| | No log | 17.0 | 408 | 1.3669 | 0.5687 | |
| | No log | 18.0 | 432 | 1.4041 | 0.5188 | |
| | No log | 19.0 | 456 | 1.3679 | 0.5312 | |
| | No log | 20.0 | 480 | 1.3489 | 0.5563 | |
| | 1.1227 | 21.0 | 504 | 1.3575 | 0.575 | |
| | 1.1227 | 22.0 | 528 | 1.3721 | 0.55 | |
| | 1.1227 | 23.0 | 552 | 1.3985 | 0.4938 | |
| | 1.1227 | 24.0 | 576 | 1.3924 | 0.5062 | |
| | 1.1227 | 25.0 | 600 | 1.3760 | 0.55 | |
| | 1.1227 | 26.0 | 624 | 1.3767 | 0.5125 | |
| | 1.1227 | 27.0 | 648 | 1.3627 | 0.5563 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.33.2 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.5 |
| - Tokenizers 0.13.3 |
| |
