| ---
|
| library_name: transformers
|
| license: apache-2.0
|
| base_model: google/vit-base-patch16-224-in21k
|
| tags:
|
| - generated_from_trainer
|
| metrics:
|
| - accuracy
|
| model-index:
|
| - name: image_classification
|
| results: []
|
| ---
|
|
|
| <!-- 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 an unknown dataset.
|
| It achieves the following results on the evaluation set:
|
| - Loss: 1.5891
|
| - Accuracy: 0.898
|
|
|
| ## 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
|
| - gradient_accumulation_steps: 4
|
| - total_train_batch_size: 64
|
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| - lr_scheduler_type: linear
|
| - lr_scheduler_warmup_ratio: 0.1
|
| - num_epochs: 3
|
|
|
| ### Training results
|
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| |:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| | 2.6565 | 1.0 | 63 | 2.4878 | 0.819 |
|
| | 1.8224 | 2.0 | 126 | 1.7766 | 0.863 |
|
| | 1.5974 | 3.0 | 189 | 1.5919 | 0.899 |
|
|
|
|
|
| ### Framework versions
|
|
|
| - Transformers 4.52.4
|
| - Pytorch 2.7.1+cu128
|
| - Datasets 3.6.0
|
| - Tokenizers 0.21.1
|
| |
