---
license: apache-2.0
base_model: facebook/convnextv2-base-1k-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: BaseModel-leaf-disease-convnextv2-base-1k-224-0_1_2_3_4
  results:
  - task:
      name: Image Classification
      type: image-classification
    dataset:
      name: imagefolder
      type: imagefolder
      config: default
      split: train
      args: default
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.8738317757009346
---

<!-- 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. -->

# BaseModel-leaf-disease-convnextv2-base-1k-224-0_1_2_3_4

This model is a fine-tuned version of [facebook/convnextv2-base-1k-224](https://huggingface.co/facebook/convnextv2-base-1k-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3737
- Accuracy: 0.8738

## 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: 300
- eval_batch_size: 300
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 1200
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 16

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.9249        | 0.98  | 16   | 0.6211          | 0.7752   |
| 0.5028        | 1.97  | 32   | 0.4815          | 0.8411   |
| 0.4421        | 2.95  | 48   | 0.4503          | 0.8533   |
| 0.4009        | 4.0   | 65   | 0.4187          | 0.8607   |
| 0.3821        | 4.98  | 81   | 0.4080          | 0.8626   |
| 0.3672        | 5.97  | 97   | 0.3952          | 0.8626   |
| 0.3544        | 6.95  | 113  | 0.3927          | 0.8701   |
| 0.3287        | 8.0   | 130  | 0.3848          | 0.8734   |
| 0.327         | 8.98  | 146  | 0.3877          | 0.8696   |
| 0.3239        | 9.97  | 162  | 0.3783          | 0.8701   |
| 0.3113        | 10.95 | 178  | 0.3746          | 0.8724   |
| 0.3146        | 12.0  | 195  | 0.3736          | 0.8734   |
| 0.3031        | 12.98 | 211  | 0.3747          | 0.8692   |
| 0.3075        | 13.97 | 227  | 0.3752          | 0.8738   |
| 0.3071        | 14.95 | 243  | 0.3759          | 0.8762   |
| 0.3028        | 15.75 | 256  | 0.3737          | 0.8738   |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.1