ai_art_exp1_efficientnetb3

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ai_art_exp1_efficientnetb3

This model is a fine-tuned version of google/efficientnet-b3 on an unknown dataset. It achieves the following results on the evaluation set:

• Accuracy: {'accuracy': 0.86}
• Loss: 0.5031
• Overall Accuracy: 0.86
• Human Accuracy: 0.688
• Ld Accuracy: 0.996
• Sd Accuracy: 0.896

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

Framework versions

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