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

# Image-Classifier-Pokemons

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: 1.8369
- Accuracy: 0.8921

## 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
- training_steps: 1200

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 4.9198        | 0.9943  | 87   | 4.8889          | 0.1158   |
| 4.4617        | 2.0     | 175  | 4.4093          | 0.5868   |
| 3.869         | 2.9943  | 262  | 3.8642          | 0.7534   |
| 3.4201        | 4.0     | 350  | 3.4278          | 0.8170   |
| 3.0186        | 4.9943  | 437  | 3.0832          | 0.8220   |
| 2.6769        | 6.0     | 525  | 2.7755          | 0.8578   |
| 2.4469        | 6.9943  | 612  | 2.5311          | 0.8635   |
| 2.1796        | 8.0     | 700  | 2.3141          | 0.8771   |
| 2.0105        | 8.9943  | 787  | 2.1620          | 0.8849   |
| 1.8571        | 10.0    | 875  | 2.0283          | 0.8885   |
| 1.7549        | 10.9943 | 962  | 1.9372          | 0.8856   |
| 1.6934        | 12.0    | 1050 | 1.8779          | 0.8949   |
| 1.6377        | 12.9943 | 1137 | 1.8180          | 0.9006   |
| 1.6182        | 13.7143 | 1200 | 1.8369          | 0.8921   |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1