|
--- |
|
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 |
|
|
