---
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: 0.9089
- Accuracy: 0.7982

## 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2075        | 1.0   | 227  | 1.0255          | 0.7831   |
| 0.1359        | 2.0   | 455  | 1.1713          | 0.7517   |
| 0.1703        | 3.0   | 682  | 1.1582          | 0.7503   |
| 0.1052        | 4.0   | 910  | 1.1482          | 0.7567   |
| 0.0826        | 5.0   | 1137 | 1.1340          | 0.7514   |
| 0.1412        | 6.0   | 1365 | 1.1149          | 0.7514   |
| 0.105         | 7.0   | 1592 | 1.1071          | 0.7523   |
| 0.1067        | 8.0   | 1820 | 1.1161          | 0.7539   |
| 0.1329        | 9.0   | 2047 | 1.0587          | 0.7693   |
| 0.1196        | 10.0  | 2275 | 1.0416          | 0.7688   |
| 0.1368        | 11.0  | 2502 | 1.0618          | 0.7663   |
| 0.1162        | 12.0  | 2730 | 1.0285          | 0.7721   |
| 0.145         | 13.0  | 2957 | 1.0040          | 0.7776   |
| 0.1449        | 14.0  | 3185 | 0.9967          | 0.7800   |
| 0.1135        | 15.0  | 3412 | 0.9603          | 0.7842   |
| 0.1266        | 16.0  | 3640 | 0.9333          | 0.7861   |
| 0.1571        | 17.0  | 3867 | 0.9643          | 0.7836   |
| 0.278         | 18.0  | 4095 | 0.9526          | 0.7861   |
| 0.2596        | 19.0  | 4322 | 0.9022          | 0.7965   |
| 0.2432        | 19.96 | 4540 | 0.9089          | 0.7982   |


### Framework versions

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