
<!-- 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. -->

# Plant_Classification_model_vit-base-patch16-224-in21k

This model is a fine-tuned version of [Professor/Plant_Classification_model_vit-base-patch16-224-in21k](https://huggingface.co/Professor/Plant_Classification_model_vit-base-patch16-224-in21k) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4976
- Accuracy: 0.8737

## 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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 193  | 1.6872          | 0.5531   |
| No log        | 2.0   | 386  | 1.2610          | 0.6490   |
| 1.7011        | 3.0   | 579  | 1.1522          | 0.6658   |
| 1.7011        | 4.0   | 772  | 0.9463          | 0.7293   |
| 1.7011        | 5.0   | 965  | 0.8893          | 0.7377   |
| 0.9968        | 6.0   | 1158 | 0.8774          | 0.7306   |
| 0.9968        | 7.0   | 1351 | 0.7006          | 0.7908   |
| 0.734         | 8.0   | 1544 | 0.7599          | 0.7791   |
| 0.734         | 9.0   | 1737 | 0.6890          | 0.7895   |
| 0.734         | 10.0  | 1930 | 0.6686          | 0.7882   |
| 0.5624        | 11.0  | 2123 | 0.6111          | 0.8271   |
| 0.5624        | 12.0  | 2316 | 0.6342          | 0.8122   |
| 0.4342        | 13.0  | 2509 | 0.5493          | 0.8381   |
| 0.4342        | 14.0  | 2702 | 0.5186          | 0.8452   |
| 0.4342        | 15.0  | 2895 | 0.5610          | 0.8381   |
| 0.3097        | 16.0  | 3088 | 0.5520          | 0.8439   |
| 0.3097        | 17.0  | 3281 | 0.5237          | 0.8588   |
| 0.3097        | 18.0  | 3474 | 0.4999          | 0.8659   |
| 0.2119        | 19.0  | 3667 | 0.4976          | 0.8737   |
| 0.2119        | 20.0  | 3860 | 0.5038          | 0.8711   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.15.0

 cherry leaf  corn healthy  corn yellowing  corn brown spots  corn purple discoloration  corn gray leaf spot  corn streak  corn stripe  corn rust leaf  squash powdery mildew leaf  tomato blight leaf  corn smut  apple rust leaf  tomato leaf late blight  peach leaf  tomato leaf bacterial spot  apple leaf  cassava bacterial blight  apple scab leaf  corn leaf blight  cassava root rot  tomato mold leaf  strawberry leaf  tomato early blight leaf  raspberry leaf  grape leaf black rot  bell_pepper leaf spot  grape leaf  soyabean leaf  corn yellow spots  potato leaf late blight  corn violet decoloration  blueberry leaf  tomato healthy  cassava brown leaf spot  cassava healthy  corn mildew  tomato leaf mosaic virus  corn chlorotic leaf spot  corn insects damages  potato leaf early blight  tomato brown spots  tomato leaf  tomato leaf yellow virus  bell_pepper leaf  tomato septoria leaf spot  cassava mosaic