| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - AI-Lab-Makerere/beans |
| metrics: |
| - accuracy |
| base_model: google/vit-base-patch16-224-in21k |
| model-index: |
| - name: beans_image_classification |
| results: |
| - task: |
| type: image-classification |
| name: Image Classification |
| dataset: |
| name: beans |
| type: beans |
| config: default |
| split: train[:500] |
| args: default |
| metrics: |
| - type: accuracy |
| value: 0.96 |
| name: Accuracy |
| --- |
| |
| <!-- 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_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 the beans dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1072 |
| - Accuracy: 0.96 |
|
|
| ## 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: 0.001 |
| - train_batch_size: 12 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 48 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 0.94 | 8 | 1.3666 | 0.66 | |
| | 0.3651 | 2.0 | 17 | 0.3823 | 0.84 | |
| | 0.5622 | 2.94 | 25 | 0.3333 | 0.86 | |
| | 0.3373 | 4.0 | 34 | 0.1274 | 0.97 | |
| | 0.2055 | 4.94 | 42 | 0.1882 | 0.93 | |
| | 0.1819 | 6.0 | 51 | 0.2265 | 0.9 | |
| | 0.1819 | 6.94 | 59 | 0.2395 | 0.91 | |
| | 0.2428 | 8.0 | 68 | 0.1451 | 0.97 | |
| | 0.1305 | 8.94 | 76 | 0.1554 | 0.94 | |
| | 0.1203 | 9.41 | 80 | 0.1705 | 0.92 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.34.0 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.5 |
| - Tokenizers 0.14.1 |
|
|
