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---
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: MoE-leaf-disease-convnextv2-base-1k-224
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. -->
# MoE-leaf-disease-convnextv2-base-1k-224
This model is a fine-tuned version of [](https://huggingface.co/) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3758
- Accuracy: 0.8762
## 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: 2000
- eval_batch_size: 2000
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8000
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 0.8 | 2 | 0.4078 | 0.8724 |
| No log | 2.0 | 5 | 0.3771 | 0.8776 |
| No log | 2.8 | 7 | 0.3776 | 0.8762 |
| 0.3197 | 4.0 | 10 | 0.3773 | 0.8762 |
| 0.3197 | 4.8 | 12 | 0.3768 | 0.8762 |
| 0.3197 | 6.0 | 15 | 0.3762 | 0.8762 |
| 0.3197 | 6.8 | 17 | 0.3760 | 0.8762 |
| 0.2995 | 8.0 | 20 | 0.3759 | 0.8762 |
| 0.2995 | 8.8 | 22 | 0.3759 | 0.8762 |
| 0.2995 | 10.0 | 25 | 0.3758 | 0.8762 |
| 0.2995 | 10.8 | 27 | 0.3758 | 0.8762 |
| 0.2996 | 12.0 | 30 | 0.3758 | 0.8762 |
| 0.2996 | 12.8 | 32 | 0.3758 | 0.8762 |
| 0.2996 | 14.0 | 35 | 0.3758 | 0.8762 |
| 0.2996 | 14.8 | 37 | 0.3758 | 0.8762 |
| 0.3024 | 16.0 | 40 | 0.3758 | 0.8762 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.1
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