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# pokemon_classification

This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the pokemon-classification dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7861
- Accuracy: 0.8927

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 240  | 2.0497          | 0.7542   |
| No log        | 2.0   | 480  | 0.9561          | 0.8760   |
| 2.3345        | 3.0   | 720  | 0.7754          | 0.8917   |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["pokemon-classification"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224", "model-index": [{"name": "pokemon_classification", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "pokemon-classification", "type": "pokemon-classification", "config": "full", "split": "train[:4800]", "args": "full"}, "metrics": [{"type": "accuracy", "value": 0.8927083333333333, "name": "Accuracy"}]}]}]}
transformers pytorch vit image-classification generated_from_trainer dataset:pokemon-classification base_model:google/vit-base-patch16-224 license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us