---
license: apache-2.0
base_model: Professor/Plant_Classification_model_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 [Professor/Plant_Classification_model_vit-base-patch16-224-in21k](https://huggingface.co/Professor/Plant_Classification_model_vit-base-patch16-224-in21k) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4976
- Accuracy: 0.8737

## 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: 0.001
- 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   | 193  | 1.6872          | 0.5531   |
| No log        | 2.0   | 386  | 1.2610          | 0.6490   |
| 1.7011        | 3.0   | 579  | 1.1522          | 0.6658   |
| 1.7011        | 4.0   | 772  | 0.9463          | 0.7293   |
| 1.7011        | 5.0   | 965  | 0.8893          | 0.7377   |
| 0.9968        | 6.0   | 1158 | 0.8774          | 0.7306   |
| 0.9968        | 7.0   | 1351 | 0.7006          | 0.7908   |
| 0.734         | 8.0   | 1544 | 0.7599          | 0.7791   |
| 0.734         | 9.0   | 1737 | 0.6890          | 0.7895   |
| 0.734         | 10.0  | 1930 | 0.6686          | 0.7882   |
| 0.5624        | 11.0  | 2123 | 0.6111          | 0.8271   |
| 0.5624        | 12.0  | 2316 | 0.6342          | 0.8122   |
| 0.4342        | 13.0  | 2509 | 0.5493          | 0.8381   |
| 0.4342        | 14.0  | 2702 | 0.5186          | 0.8452   |
| 0.4342        | 15.0  | 2895 | 0.5610          | 0.8381   |
| 0.3097        | 16.0  | 3088 | 0.5520          | 0.8439   |
| 0.3097        | 17.0  | 3281 | 0.5237          | 0.8588   |
| 0.3097        | 18.0  | 3474 | 0.4999          | 0.8659   |
| 0.2119        | 19.0  | 3667 | 0.4976          | 0.8737   |
| 0.2119        | 20.0  | 3860 | 0.5038          | 0.8711   |


### Framework versions

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