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metadata
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: ai_art_exp2_vit_baroque
    results: []

ai_art_exp2_vit_baroque

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

  • Accuracy: {'accuracy': 0.8833333333333333}
  • Loss: 0.7276
  • Overall Accuracy: 0.8833
  • Human Accuracy: 0.72
  • Ld Accuracy: 0.97
  • Sd Accuracy: 0.96

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: 1

Training results

Training Loss Epoch Step Accuracy Validation Loss Overall Accuracy Human Accuracy Ld Accuracy Sd Accuracy
0.9747 0.96 18 {'accuracy': 0.8666666666666667} 0.7253 0.8667 0.6364 0.9813 0.9429

Framework versions

  • Transformers 4.41.0
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1