| license: apache-2.0 | |
| tags: | |
| - image-segmentation | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| widget: | |
| - src: https://i.ibb.co/NL52HmG/sana.png | |
| example_title: Healthy | |
| - src: https://i.ibb.co/P44CL1q/marchita.png | |
| example_title: Bean Rust | |
| base_model: google/vit-base-patch16-224-in21k | |
| model-index: | |
| - name: vit-model-ojas | |
| 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-model-ojas | |
| 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: 0.0099 | |
| - Accuracy: 1.0 | |
| ## Model description | |
| You can manage to segment the images of plant leaves to be able to know if they are healthy or withered. | |
| ## 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: 0.0002 | |
| - train_batch_size: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 4 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| | 0.1457 | 3.85 | 500 | 0.0099 | 1.0 | | |
| ### Framework versions | |
| - Transformers 4.28.0 | |
| - Pytorch 2.0.1+cu118 | |
| - Tokenizers 0.13.3 | |