---
library_name: transformers
license: apache-2.0
base_model: facebook/convnext-base-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: convnext-base-224_rice-leaf-disease-augmented-v2_tl
  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. -->

# convnext-base-224_rice-leaf-disease-augmented-v2_tl

This model is a fine-tuned version of [facebook/convnext-base-224](https://huggingface.co/facebook/convnext-base-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9910
- Accuracy: 0.6935

## 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: 0.0003
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.0641        | 1.0   | 63   | 1.9738          | 0.3780   |
| 1.833         | 2.0   | 126  | 1.7100          | 0.5      |
| 1.5486        | 3.0   | 189  | 1.4962          | 0.5595   |
| 1.3602        | 4.0   | 252  | 1.3563          | 0.5982   |
| 1.2385        | 5.0   | 315  | 1.2619          | 0.625    |
| 1.1522        | 6.0   | 378  | 1.1995          | 0.6458   |
| 1.0888        | 7.0   | 441  | 1.1555          | 0.6607   |
| 1.0383        | 8.0   | 504  | 1.1159          | 0.6667   |
| 1.0003        | 9.0   | 567  | 1.0857          | 0.6726   |
| 0.971         | 10.0  | 630  | 1.0579          | 0.6845   |
| 0.9447        | 11.0  | 693  | 1.0446          | 0.6815   |
| 0.9265        | 12.0  | 756  | 1.0262          | 0.6905   |
| 0.9123        | 13.0  | 819  | 1.0158          | 0.6845   |
| 0.8985        | 14.0  | 882  | 1.0050          | 0.6935   |
| 0.8902        | 15.0  | 945  | 0.9993          | 0.6964   |
| 0.8846        | 16.0  | 1008 | 0.9950          | 0.6935   |
| 0.8803        | 17.0  | 1071 | 0.9926          | 0.6935   |
| 0.8774        | 18.0  | 1134 | 0.9916          | 0.6935   |
| 0.8766        | 19.0  | 1197 | 0.9911          | 0.6935   |
| 0.8772        | 20.0  | 1260 | 0.9910          | 0.6935   |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0