metadata
license: apache-2.0
base_model: google/vit-base-patch16-224
tags:
- image-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vit-b16-plant_village
results: []
datasets:
- Treelar/plant_village
language:
- en
vit-b16-plant_village
This model is a fine-tuned version of google/vit-base-patch16-224 on the Treelar/plant_village dataset. It achieves the following results on the evaluation set:
- Loss: 0.0100
- Accuracy: 0.9973
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1747 | 1.0 | 3119 | 0.0364 | 0.9885 |
| 0.0031 | 2.0 | 6238 | 0.0100 | 0.9973 |
Framework versions
- Transformers 4.37.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1