---
library_name: transformers
license: apache-2.0
base_model: google/vit-large-patch16-384
tags:
- image-classification
- vision
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: fashion-images-perspectives-vit-large-patch16-384-v1
  results:
  - task:
      name: Image Classification
      type: image-classification
    dataset:
      name: touchtech/fashion-images-perspectives-v2
      type: imagefolder
      config: default
      split: train
      args: default
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.9544701986754967
---

<!-- 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. -->

# fashion-images-perspectives-vit-large-patch16-384-v1

This model is a fine-tuned version of [google/vit-large-patch16-384](https://huggingface.co/google/vit-large-patch16-384) on the touchtech/fashion-images-perspectives-v2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1572
- Accuracy: 0.9545

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.1766        | 1.0   | 3423  | 0.1572          | 0.9545   |
| 0.1108        | 2.0   | 6846  | 0.1968          | 0.9580   |
| 0.0456        | 3.0   | 10269 | 0.2058          | 0.9607   |
| 0.0118        | 4.0   | 13692 | 0.2166          | 0.9634   |
| 0.007         | 5.0   | 17115 | 0.2290          | 0.9642   |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0