ConvNeXT_AI_image_detector – AI Model by mmanikanta | AlphaNeural AI

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mmanikanta/
ConvNeXT_AI_image_detector

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image-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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ConvNeXT_AI_image_detector

This model is a fine-tuned version of facebook/convnext-tiny-224 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0518
Accuracy: 0.9826

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2164	1.0	1093	0.1476	0.9444
0.1647	2.0	2187	0.0872	0.9673
0.1784	3.0	3281	0.0761	0.9709
0.1247	4.0	4375	0.0869	0.9666
0.0994	5.0	5468	0.0808	0.9696
0.073	6.0	6562	0.0514	0.9820
0.0924	7.0	7656	0.0526	0.9809
0.0779	8.0	8750	0.0518	0.9819
0.0903	9.0	9843	0.0518	0.9826
0.0721	9.99	10930	0.0512	0.9817

Framework versions

Transformers 4.30.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.13.3