metadata
license: apache-2.0
base_model: google/vit-base-patch16-224
tags:
- generated_from_trainer
datasets:
- pokemon-classification
metrics:
- accuracy
model-index:
- name: image_classification
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: pokemon-classification
type: pokemon-classification
config: full
split: train[:4800]
args: full
metrics:
- name: Accuracy
type: accuracy
value: 0.8854166666666666
image_classification
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: 0.8072
- Accuracy: 0.8854
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 | 2.0511 | 0.7427 |
| No log | 2.0 | 480 | 0.9657 | 0.8792 |
| 2.3005 | 3.0 | 720 | 0.8118 | 0.8833 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3