| --- |
| license: apache-2.0 |
| base_model: google/vit-base-patch16-224-in21k |
| tags: |
| - generated_from_trainer |
| datasets: |
| - imagefolder |
| metrics: |
| - accuracy |
| model-index: |
| - name: vehicle_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: 0.8466780238500852 |
| --- |
| |
| <!-- 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. --> |
|
|
| # vehicle_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: 0.5738 |
| - Accuracy: 0.8467 |
| |
| ## 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 147 | 1.4917 | 0.7785 | |
| | No log | 2.0 | 294 | 1.0285 | 0.8160 | |
| | No log | 3.0 | 441 | 0.8369 | 0.8177 | |
| | 1.294 | 4.0 | 588 | 0.7112 | 0.8399 | |
| | 1.294 | 5.0 | 735 | 0.6621 | 0.8313 | |
| | 1.294 | 6.0 | 882 | 0.5977 | 0.8450 | |
| | 0.4624 | 7.0 | 1029 | 0.5856 | 0.8518 | |
| | 0.4624 | 8.0 | 1176 | 0.6511 | 0.8160 | |
| | 0.4624 | 9.0 | 1323 | 0.6450 | 0.8365 | |
| | 0.4624 | 10.0 | 1470 | 0.6241 | 0.8296 | |
| | 0.2619 | 11.0 | 1617 | 0.6217 | 0.8382 | |
| | 0.2619 | 12.0 | 1764 | 0.6504 | 0.8177 | |
| | 0.2619 | 13.0 | 1911 | 0.5994 | 0.8433 | |
| | 0.1776 | 14.0 | 2058 | 0.5969 | 0.8433 | |
| | 0.1776 | 15.0 | 2205 | 0.5693 | 0.8569 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.37.2 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.17.1 |
| - Tokenizers 0.15.2 |
| |
