| --- |
| license: apache-2.0 |
| base_model: google/vit-base-patch16-224-in21k |
| tags: |
| - image-classification |
| - vision |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: beans |
| 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. --> |
|
|
| # beans |
|
|
| 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 beans dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0677 |
| - Accuracy: 0.9925 |
|
|
| ## 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: 8 |
| - eval_batch_size: 8 |
| - seed: 1337 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5.0 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.2825 | 1.0 | 130 | 0.2142 | 0.9624 | |
| | 0.1331 | 2.0 | 260 | 0.1347 | 0.9699 | |
| | 0.1427 | 3.0 | 390 | 0.0999 | 0.9774 | |
| | 0.0808 | 4.0 | 520 | 0.0677 | 0.9925 | |
| | 0.1156 | 5.0 | 650 | 0.0839 | 0.9774 | |
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|
|
| ### Framework versions |
|
|
| - Transformers 4.43.0.dev0 |
| - Pytorch 2.3.1+cu121 |
| - Datasets 2.20.0 |
| - Tokenizers 0.19.1 |
|
|
