image_classification – AI Model by anakingfl | AlphaNeural AI | AlphaNeural AI

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image_classification

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nateraw/vit-age-classifier

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image_classification

This model is a fine-tuned version of nateraw/vit-age-classifier on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 1.8469
Accuracy: 0.3438

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: 1e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 512
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.3
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.8	1	1.8452	0.3125
No log	1.6	2	1.8435	0.35
No log	2.4	3	1.8282	0.3688
No log	4.0	5	1.8112	0.3563
No log	4.8	6	1.8180	0.3312
No log	5.6	7	1.8291	0.3375
No log	6.4	8	1.8036	0.3563
1.6711	8.0	10	1.8134	0.3375

Framework versions

Transformers 4.42.4
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1