tonyassi/fashion-clothing-decade

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Fashion Clothing Decade

This model predicts what decade clothing is from. It takes an image and outputs one of the following labels: 1910s, 1920s, 1930s, 1940s, 1950s, 1960s, 1970s, 1980s, 1990s, 2000s

Try the demo!

How to use

from transformers import pipeline

pipe = pipeline("image-classification", model="tonyassi/fashion-clothing-decade")
result = pipe('image.png')

print(result)

Dataset

Trained on a total of 2500 images. ~250 images from each label.

1910s

1920s

1930s

1940s

1950s

1960s

1970s

1980s

1990s

2000s

Model description

This model is a fine-tuned version of google/vit-base-patch16-224-in21k.

Training and evaluation data

• —Loss: 0.8707
• —Accuracy: 0.7505

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 3e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 64
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 10

Framework versions

• —Transformers 4.35.0
• —Pytorch 2.1.0+cu118
• —Datasets 2.14.6
• —Tokenizers 0.14.1