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license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Beans_disease_classfication
results: []
datasets:
- AI-Lab-Makerere/beans
language:
- en
---
<!-- 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. -->
# Beans_disease_classfication
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.7350
- Accuracy: 0.8984
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
Class Label Mappings:
{
"angular_leaf_spot": 0,
"bean_rust": 1,
"healthy": 2,
}
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 6.5716 | 0.98 | 16 | 5.5579 | 0.7734 |
| 5.1591 | 1.97 | 32 | 4.9286 | 0.9062 |
| 4.8776 | 2.95 | 48 | 4.7350 | 0.8984 |
### Framework versions
- Transformers 4.28.0
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.13.3 |