sj21867/ai_art_exp1_efficientnetb3

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aiartexp1_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
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 64
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_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