| | --- |
| | license: apache-2.0 |
| | base_model: google/vit-base-patch16-224-in21k |
| | tags: |
| | - image-classification |
| | - vision |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: vit-base-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. --> |
| |
|
| | # vit-base-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: 0.2258 |
| | - Accuracy: 0.9699 |
| |
|
| | ## 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: 64 |
| | - eval_batch_size: 64 |
| | - seed: 1337 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 7.0 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | 0.9859 | 1.0 | 17 | 0.7492 | 0.9323 | |
| | | 0.6763 | 2.0 | 34 | 0.5276 | 0.9624 | |
| | | 0.4605 | 3.0 | 51 | 0.3726 | 0.9624 | |
| | | 0.404 | 4.0 | 68 | 0.2965 | 0.9699 | |
| | | 0.3169 | 5.0 | 85 | 0.2538 | 0.9699 | |
| | | 0.2536 | 6.0 | 102 | 0.2273 | 0.9774 | |
| | | 0.2633 | 7.0 | 119 | 0.2258 | 0.9699 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.43.0.dev0 |
| | - Pytorch 2.3.1+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
| |
|
