---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: celebrity-classifier
  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. -->

# celebrity-classifier

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: 3.8884
- Accuracy: 0.4847

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 5.0138        | 1.0   | 227  | 5.2286          | 0.2802   |
| 4.7675        | 2.0   | 455  | 4.9884          | 0.3151   |
| 4.4753        | 3.0   | 682  | 4.7386          | 0.3547   |
| 4.1843        | 4.0   | 910  | 4.5348          | 0.3852   |
| 3.9013        | 5.0   | 1137 | 4.3369          | 0.4185   |
| 3.7744        | 6.0   | 1365 | 4.1786          | 0.4363   |
| 3.5452        | 7.0   | 1592 | 4.0784          | 0.4520   |
| 3.472         | 8.0   | 1820 | 3.9941          | 0.4680   |
| 3.3858        | 9.0   | 2047 | 3.9071          | 0.4834   |
| 3.3678        | 9.98  | 2270 | 3.8884          | 0.4847   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0