swin-large-patch4-window12-384-in22k-finetuned-batch8

zabir735/swin-large-patch4-window12-384-in22k-finetuned-batch8

swin-large-patch4-window12-384-in22k-finetuned-batch8 is a image classification model from zabir735. 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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Hugging Face

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Base models

microsoft/swin-large-patch4-window12-384-in22k

Datasets

imagefolder

Model card

From the Hugging Face model README

swin-large-patch4-window12-384-in22k-finetuned-batch8

This model is a fine-tuned version of microsoft/swin-large-patch4-window12-384-in22k on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.0430
Accuracy: 0.9886

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
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
0.2123	0.9949	49	0.0916	0.9659
0.1613	1.9898	98	0.0430	0.9886
0.116	2.9848	147	0.0346	0.9886

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: swin
License: apache-2.0
Created: May 4, 2024
Updated: May 4, 2024