This model is a fine-tuned version of 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

agustin228/pokemon_classification

pokemon_classification

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

agustin228/
pokemon_classification