---
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: 1.0002
- Accuracy: 0.7850

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7184        | 1.0   | 227  | 1.6196          | 0.7327   |
| 0.6575        | 2.0   | 455  | 1.6466          | 0.7102   |
| 0.6033        | 3.0   | 682  | 1.5743          | 0.7226   |
| 0.4692        | 4.0   | 910  | 1.4970          | 0.7289   |
| 0.3551        | 5.0   | 1137 | 1.4109          | 0.7393   |
| 0.4104        | 6.0   | 1365 | 1.3546          | 0.7352   |
| 0.3038        | 7.0   | 1592 | 1.3356          | 0.7393   |
| 0.3195        | 8.0   | 1820 | 1.3145          | 0.7371   |
| 0.3254        | 9.0   | 2047 | 1.2262          | 0.7580   |
| 0.3182        | 10.0  | 2275 | 1.1926          | 0.7630   |
| 0.3278        | 11.0  | 2502 | 1.1491          | 0.7704   |
| 0.2805        | 12.0  | 2730 | 1.1514          | 0.7627   |
| 0.3188        | 13.0  | 2957 | 1.0948          | 0.7795   |
| 0.3161        | 14.0  | 3185 | 1.1231          | 0.7685   |
| 0.229         | 15.0  | 3412 | 1.0588          | 0.7789   |
| 0.2544        | 16.0  | 3640 | 1.0311          | 0.7806   |
| 0.2872        | 17.0  | 3867 | 1.0586          | 0.7762   |
| 0.3974        | 18.0  | 4095 | 1.0341          | 0.7833   |
| 0.337         | 19.0  | 4322 | 0.9834          | 0.7891   |
| 0.3165        | 19.96 | 4540 | 1.0002          | 0.7850   |


### Framework versions

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