---
library_name: transformers
license: apache-2.0
base_model: itsLeen/vit-large-ai-or-not
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vit-large-ai-or-not
  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. -->

# vit-large-ai-or-not

This model is a fine-tuned version of [itsLeen/vit-large-ai-or-not](https://huggingface.co/itsLeen/vit-large-ai-or-not) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0400
- Accuracy: 0.96

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Tokenizers 0.19.1