swin-base-patch4-window7-224-in22k-finetuned

liyijing024/swin-base-patch4-window7-224-in22k-finetuned

swin-base-patch4-window7-224-in22k-finetuned is a image classification model from liyijing024. 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. --

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At a glance

Task: Image Classification
Library: transformers
License: apache-2.0
Model type: swin
Access: Public
Created: Jul 14, 2022
Updated: Jul 14, 2022
SHA: 89a4847c

Datasets

imagefolder

Model card

From the Hugging Face model README

swin-base-patch4-window7-224-in22k-finetuned

This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224-in22k on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.0021
Accuracy: 0.9993

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: 5e-05
train_batch_size: 128
eval_batch_size: 128
seed: 42
gradient_accumulation_steps: 4
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: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0253	1.0	889	0.0060	0.9980
0.0134	2.0	1778	0.0031	0.9989
0.0118	3.0	2667	0.0021	0.9993

Framework versions

Transformers 4.20.1
Pytorch 1.8.0+cu111
Datasets 2.3.3.dev0
Tokenizers 0.12.1

Task: Image Classification
Library: transformers
Type: swin
License: apache-2.0
Created: Jul 14, 2022
Updated: Jul 14, 2022