trained-age – AI Model by crangana | AlphaNeural AI

You can deploy this model and start earning money today!

crangana/
trained-age

like

0

image-classification

generated_from_trainer

microsoft/resnet-50

autotrain_compatible

endpoints_compatible

Views

No views yet

trained-age

This model is a fine-tuned version of microsoft/resnet-50 on the fair_face dataset. It achieves the following results on the evaluation set:

Loss: 1.1340
Accuracy: 0.5164

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: 0.0002
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.3347	0.18	1000	1.3819	0.4296
1.3071	0.37	2000	1.2799	0.4642
1.297	0.55	3000	1.2503	0.4721
1.3121	0.74	4000	1.1661	0.4995
1.1806	0.92	5000	1.1137	0.5240
1.0839	1.11	6000	1.1340	0.5164

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.0