| | --- |
| | license: apache-2.0 |
| | base_model: microsoft/beit-base-patch16-224 |
| | 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 [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on the beans dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0146 |
| | - 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | 0.1905 | 1.0 | 130 | 0.3638 | 0.8872 | |
| | | 0.1421 | 2.0 | 260 | 0.1445 | 0.9474 | |
| | | 0.0367 | 3.0 | 390 | 0.0980 | 0.9699 | |
| | | 0.0493 | 4.0 | 520 | 0.0146 | 0.9925 | |
| | | 0.0627 | 5.0 | 650 | 0.0361 | 0.9774 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.40.0.dev0 |
| | - Pytorch 2.2.1+cpu |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.15.2 |
| |
|
