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ai_art_exp3_efficientnetb3 – AI Model by sj21867 | AlphaNeural AI
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sj21867
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ai_art_exp3_efficientnetb3
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transformers
tensorboard
safetensors
efficientnet
image-classification
generated_from_trainer
google/efficientnet-b3
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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ai_art_exp3_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': 0.52}
Loss: 1.0214
Overall Accuracy: 0.52
Human Accuracy: 0.6
Ld Accuracy: 0.51
Sd Accuracy: 0.45
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
1.0818
0.96
18
{'accuracy': 0.5766666666666667}
1.0049
0.5767
0.6019
0.6768
0.4409
Framework versions
Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1
