| --- |
| license: apache-2.0 |
| base_model: juniorjukeko/img_class_beans |
| tags: |
| - generated_from_trainer |
| datasets: |
| - beans |
| metrics: |
| - accuracy |
| model-index: |
| - name: img_class_beans |
| results: |
| - task: |
| name: Image Classification |
| type: image-classification |
| dataset: |
| name: beans |
| type: beans |
| config: default |
| split: train |
| args: default |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.972972972972973 |
| --- |
| |
| <!-- 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. --> |
|
|
| # img_class_beans |
|
|
| This model is a fine-tuned version of [juniorjukeko/img_class_beans](https://huggingface.co/juniorjukeko/img_class_beans) on the beans dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1220 |
| - Accuracy: 0.9730 |
|
|
| ## 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: 5e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 143 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 64 |
| - 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.1122 | 0.98 | 12 | 0.1660 | 0.9575 | |
| | 0.1356 | 1.96 | 24 | 0.1977 | 0.9421 | |
| | 0.0889 | 2.94 | 36 | 0.1504 | 0.9421 | |
| | 0.0793 | 4.0 | 49 | 0.1477 | 0.9575 | |
| | 0.0578 | 4.98 | 61 | 0.1320 | 0.9653 | |
| | 0.0514 | 5.96 | 73 | 0.1163 | 0.9730 | |
| | 0.0592 | 6.94 | 85 | 0.1363 | 0.9653 | |
| | 0.0532 | 8.0 | 98 | 0.1837 | 0.9382 | |
| | 0.0555 | 8.98 | 110 | 0.1400 | 0.9614 | |
| | 0.0723 | 9.8 | 120 | 0.1220 | 0.9730 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.33.2 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.5 |
| - Tokenizers 0.13.3 |
|
|
