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# vit-base-patch16-224-finetuned-for-agricultural

This model is a fine-tuned version of [xiaopch/vit-base-patch16-224-finetuned](https://huggingface.co/xiaopch/vit-base-patch16-224-finetuned) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9246
- Accuracy: 0.7309

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.9131        | 1.0   | 35   | 1.0878          | 0.6847   |
| 0.8066        | 2.0   | 70   | 0.9933          | 0.7189   |
| 0.7259        | 3.0   | 105  | 0.9445          | 0.7249   |
| 0.6719        | 4.0   | 140  | 0.9246          | 0.7309   |
| 0.6056        | 5.0   | 175  | 0.9258          | 0.7229   |
| 0.5576        | 6.0   | 210  | 0.9230          | 0.7309   |
| 0.5113        | 7.0   | 245  | 0.9152          | 0.7169   |
| 0.488         | 8.0   | 280  | 0.9119          | 0.7209   |
| 0.4822        | 9.0   | 315  | 0.9061          | 0.7269   |
| 0.4163        | 10.0  | 350  | 0.9039          | 0.7289   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "xiaopch/vit-base-patch16-224-finetuned", "model-index": [{"name": "vit-base-patch16-224-finetuned-for-agricultural", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "train", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.7309236947791165, "name": "Accuracy"}]}]}]}
transformers tensorboard safetensors vit image-classification generated_from_trainer dataset:imagefolder base_model:xiaopch/vit-base-patch16-224-finetuned license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us