| --- |
| license: other |
| tags: |
| - generated_from_trainer |
| datasets: |
| - image_folder |
| metrics: |
| - accuracy |
| model-index: |
| - name: mobilenet_v2_1.0_224-plant-disease-identification |
| results: |
| - task: |
| name: Image Classification |
| type: image-classification |
| dataset: |
| name: New Plant Diseases Dataset |
| type: image_folder |
| config: default |
| split: train |
| args: default |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.9541 |
| --- |
| |
| <!-- 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. --> |
|
|
| # mobilenet_v2_1.0_224-plant-disease-identification |
| |
| This model is a fine-tuned version of [google/mobilenet_v2_1.0_224](https://huggingface.co/google/mobilenet_v2_1.0_224) on the [Kaggle version](https://www.kaggle.com/datasets/vipoooool/new-plant-diseases-dataset) of the [Plant Village dataset](https://github.com/spMohanty/PlantVillage-Dataset). |
| It achieves the following results on the evaluation set: |
| - Cross Entropy Loss: 0.15 |
| - Accuracy: 0.9541 |
| |
| ## Intended uses & limitations |
| |
| For identifying common diseases in crops and assessing plant health. Not to be used as a replacement for an actual diagnosis from experts. |
| |
| ## Training and evaluation data |
| |
| The plant village dataset consists of 38 classes of diseases in common crops (including healthy/normal crops). |
| |
| ### Training hyperparameters |
| |
| The following hyperparameters were used during training: |
| - learning_rate: 5e-5 |
| - train_batch_size: 256 |
| - eval_batch_size: 256 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.2 |
| - num_epochs: 6 |
|
|
| ### Framework versions |
|
|
| - Transformers 4.27.3 |
| - Pytorch 1.13.0 |
| - Datasets 2.1.0 |
| - Tokenizers 0.13.2 |
|
|
