
<!-- 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. -->

# VIT_large_ieee

This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0230
- Accuracy: 0.9941

## Model description

This model was used for IEEE ManSB VICTORIS 2.0 Final Competition

## 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-06
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0047        | 0.67  | 100  | 0.0283          | 0.9929   |
| 0.0165        | 1.34  | 200  | 0.0230          | 0.9941   |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3

ascariasis babesia opisthorchis viverrine paragonimus spp t. rubrum taenia spp trichuris trichiura capillaria p enterobius v epidermophyton floccosum fasciolopsis buski hookworm egg hymenolepis diminuta hymenolepis nana leishmania