pokemon-classifier / README.md
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metadata
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
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: test
          args: full
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.01092896174863388

pokemon-classifier

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the pokemon-classification dataset. It achieves the following results on the evaluation set:

  • Loss: 5.3367
  • Accuracy: 0.0109

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
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
4.7242 1.0 76 5.2859 0.0068
4.2781 1.99 152 5.3334 0.0109
4.0798 2.99 228 5.3367 0.0109

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0