| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - cifar10 |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: sagemaker-ViT-CIFAR10 |
| | results: |
| | - task: |
| | name: Image Classification |
| | type: image-classification |
| | dataset: |
| | name: cifar10 |
| | type: cifar10 |
| | config: plain_text |
| | split: test[:2000] |
| | args: plain_text |
| | metrics: |
| | - name: Accuracy |
| | type: accuracy |
| | value: 0.972 |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # sagemaker-ViT-CIFAR10 |
| |
|
| | 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 cifar10 dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.2966 |
| | - Accuracy: 0.972 |
| |
|
| | ## 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: 2e-05 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 64 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 500 |
| | - num_epochs: 3 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | No log | 1.0 | 313 | 1.4582 | 0.9325 | |
| | | 1.6494 | 2.0 | 626 | 0.4472 | 0.9665 | |
| | | 1.6494 | 3.0 | 939 | 0.2966 | 0.972 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.26.0 |
| | - Pytorch 1.13.1+cu117 |
| | - Datasets 2.9.0 |
| | - Tokenizers 0.13.2 |
| | |
