swin-tiny-patch4-window7-224-finetuned-3e

Gokulapriyan/swin-tiny-patch4-window7-224-finetuned-3e

swin-tiny-patch4-window7-224-finetuned-3e is a image classification model from Gokulapriyan. 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: Feb 8, 2023
Updated: Feb 8, 2023
SHA: 7f22f96a

Datasets

imagefolder

Model card

From the Hugging Face model README

swin-tiny-patch4-window7-224-finetuned-3e

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

Loss: 0.1065
Accuracy: 0.9606

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
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
0.4549	1.0	527	0.2910	0.8857
0.2838	2.0	1054	0.1524	0.9410
0.254	3.0	1581	0.1065	0.9606

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2

Task: Image Classification
Library: transformers
Type: swin
License: apache-2.0
Created: Feb 8, 2023
Updated: Feb 8, 2023