---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Limited_Plant_Family_Classification
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Limited_Plant_Family_Classification

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7774
- Accuracy: 0.5646

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 2.6472        | 0.9989 | 676  | 2.6322          | 0.4149   |
| 2.0979        | 1.9993 | 1353 | 2.1572          | 0.4907   |
| 1.8214        | 2.9996 | 2030 | 1.9491          | 0.5283   |
| 1.6741        | 4.0    | 2707 | 1.8711          | 0.5459   |
| 1.5301        | 4.9989 | 3383 | 1.8058          | 0.5656   |
| 1.2758        | 5.9934 | 4056 | 1.7774          | 0.5646   |


### Framework versions

- Transformers 4.43.3
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1