metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- pokemon-classification
metrics:
- accuracy
model-index:
- name: pokemon_classifier
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: pokemon-classification
type: pokemon-classification
config: full
split: validation
args: full
metrics:
- name: Accuracy
type: accuracy
value: 0.09496402877697842
pokemon_classifier
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: 8.0010
- Accuracy: 0.0950
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.3716 | 0.82 | 500 | 7.1987 | 0.0655 |
| 0.1136 | 1.64 | 1000 | 7.6050 | 0.0777 |
| 0.0434 | 2.46 | 1500 | 8.0010 | 0.0820 |
| 0.0163 | 3.28 | 2000 | 8.0010 | 0.0950 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3