trained-gender

noserdan/trained-gender

trained-gender is a machine learning model from noserdan. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

License: apache-2.0
Model type: resnet
Access: Public
Created: Apr 16, 2026
Updated: Apr 16, 2026
SHA: 15531e8f

Base models

microsoft/resnet-50

Datasets

fair_face

Model card

From the Hugging Face model README

trained-gender

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: 0.2437
Accuracy: 0.8986

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
0.4277	0.18	1000	0.4054	0.8089
0.315	0.37	2000	0.3487	0.8318
0.3082	0.55	3000	0.3052	0.8633
0.3235	0.74	4000	0.2899	0.8684
0.2505	0.92	5000	0.2693	0.8785
0.2484	1.11	6000	0.2547	0.8889
0.1933	1.29	7000	0.2521	0.8901
0.1497	1.48	8000	0.2443	0.8929
0.326	1.66	9000	0.2406	0.8958
0.215	1.84	10000	0.2381	0.9007
0.2035	2.03	11000	0.2437	0.8986

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.0

Type: resnet
License: apache-2.0
Created: Apr 16, 2026
Updated: Apr 16, 2026