swin-tiny-patch4-window7-224-pruned-0.1-finetuned-eurosat

2022happy/swin-tiny-patch4-window7-224-pruned-0.1-finetuned-eurosat

swin-tiny-patch4-window7-224-pruned-0.1-finetuned-eurosat is a image classification model from 2022happy. 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: Jun 18, 2023
Updated: Jun 18, 2023
SHA: 9485a651

Datasets

cifar10

Model card

From the Hugging Face model README

swin-tiny-patch4-window7-224-pruned-finetuned-eurosat

This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the cifar10 dataset. It achieves the following results on the evaluation set:

Loss: 0.1324
Accuracy: 0.9548

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
0.6077	1.0	351	0.2074	0.929
0.4696	2.0	703	0.1462	0.9512
0.4079	2.99	1053	0.1324	0.9548

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.0
Tokenizers 0.13.3

Task: Image Classification
Library: transformers
Type: swin
License: apache-2.0
Created: Jun 18, 2023
Updated: Jun 18, 2023