swin-tiny-patch4-window7-224-thecbbbfs

ChristosSevastopoulos/swin-tiny-patch4-window7-224-thecbbbfs

swin-tiny-patch4-window7-224-thecbbbfs is a image classification model from ChristosSevastopoulos. 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

2% of all-time downloads

All-time downloads

808

Public

Repo size

2.8 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin110 MB · 100%

At a glance

Task: Image Classification
Library: transformers
License: apache-2.0
Model type: swin
Access: Public
Created: Sep 23, 2022
Updated: Sep 27, 2022
SHA: c0d34a1a

Datasets

imagefolder

Model card

From the Hugging Face model README

swin-tiny-patch4-window7-224-thecbbbfs

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: 0.3088
Accuracy: 0.8933

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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5717	0.96	12	0.3088	0.8933

Framework versions

Transformers 4.23.0.dev0
Pytorch 1.12.1+cu102
Datasets 2.5.1
Tokenizers 0.13.0

Task: Image Classification
Library: transformers
Type: swin
License: apache-2.0
Created: Sep 23, 2022
Updated: Sep 27, 2022