Main_Fashion

vlevi/Main_Fashion

Main_Fashion is a image classification model from vlevi. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.

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

Downloads · 30 days

14% of all-time downloads

All-time downloads

Public

Parameters

85.8M

343 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors343 MB · 100%

At a glance

Task: Image Classification
Library: transformers
License: apache-2.0
Model type: vit
Access: Public
Created: May 1, 2024
Updated: May 1, 2024
SHA: 6d91c220

Base models

google/vit-base-patch16-224-in21K

Model card

From the Hugging Face model README

Main_Fashion

This model is a fine-tuned version of google/vit-base-patch16-224-in21K on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7633
Accuracy: 0.6961

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: 7
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.934	0.9259	100	0.9492	0.7030
0.9191	1.8519	200	0.7838	0.7401
0.7774	2.7778	300	0.8152	0.7123
0.5743	3.7037	400	0.7249	0.7100
0.5145	4.6296	500	0.7721	0.7077
0.4713	5.5556	600	0.7182	0.7146
0.4397	6.4815	700	0.7633	0.6961

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: May 1, 2024
Updated: May 1, 2024