---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: plant-vit-model-1
  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. -->

# plant-vit-model-1

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1560
- Accuracy: 0.9995

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.296         | 1.0   | 83   | 1.0361          | 0.9227   |
| 0.4476        | 2.0   | 166  | 0.3646          | 0.9904   |
| 0.2731        | 3.0   | 249  | 0.2174          | 0.9952   |
| 0.2097        | 4.0   | 332  | 0.1560          | 0.9995   |
| 0.1679        | 5.0   | 415  | 0.1288          | 0.9973   |
| 0.135         | 6.0   | 498  | 0.1052          | 0.9984   |
| 0.118         | 7.0   | 581  | 0.0918          | 0.9989   |
| 0.1054        | 8.0   | 664  | 0.0826          | 0.9989   |
| 0.1083        | 9.0   | 747  | 0.0777          | 0.9989   |
| 0.0918        | 10.0  | 830  | 0.0756          | 0.9995   |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3