---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Plant_Classification_model_vit-base-patch16-224-in21k
  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_Classification_model_vit-base-patch16-224-in21k

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: 2.2650
- Accuracy: 0.6667

## 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 65   | 3.2430          | 0.0994   |
| No log        | 2.0   | 130  | 3.1265          | 0.3060   |
| No log        | 3.0   | 195  | 3.0009          | 0.3743   |
| No log        | 4.0   | 260  | 2.8860          | 0.4133   |
| No log        | 5.0   | 325  | 2.7848          | 0.4464   |
| No log        | 6.0   | 390  | 2.6989          | 0.4951   |
| No log        | 7.0   | 455  | 2.6229          | 0.5380   |
| 2.8794        | 8.0   | 520  | 2.5590          | 0.5653   |
| 2.8794        | 9.0   | 585  | 2.5042          | 0.5926   |
| 2.8794        | 10.0  | 650  | 2.4560          | 0.5984   |
| 2.8794        | 11.0  | 715  | 2.4151          | 0.6199   |
| 2.8794        | 12.0  | 780  | 2.3813          | 0.6316   |
| 2.8794        | 13.0  | 845  | 2.3516          | 0.6452   |
| 2.8794        | 14.0  | 910  | 2.3275          | 0.6511   |
| 2.8794        | 15.0  | 975  | 2.3079          | 0.6530   |
| 2.2983        | 16.0  | 1040 | 2.2919          | 0.6589   |
| 2.2983        | 17.0  | 1105 | 2.2801          | 0.6647   |
| 2.2983        | 18.0  | 1170 | 2.2717          | 0.6667   |
| 2.2983        | 19.0  | 1235 | 2.2667          | 0.6667   |
| 2.2983        | 20.0  | 1300 | 2.2650          | 0.6667   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.15.0