beit-base-patch16-224-pt22k-finetuned-eurosat

Chandanab/beit-base-patch16-224-pt22k-finetuned-eurosat

beit-base-patch16-224-pt22k-finetuned-eurosat is a image classification model from Chandanab. 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: beit
Access: Public
Created: Aug 9, 2022
Updated: Aug 24, 2022
SHA: 630ed4a6

Datasets

image_folder

Model card

From the Hugging Face model README

beit-base-patch16-224-pt22k-finetuned-eurosat

This model is a fine-tuned version of microsoft/beit-base-patch16-224-pt22k on the image_folder dataset. It achieves the following results on the evaluation set:

Loss: 0.3045
Accuracy: 0.8586

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
No log	1.0	7	0.5181	0.7071
0.6727	2.0	14	0.4030	0.8182
0.3522	3.0	21	0.3045	0.8586

Framework versions

Transformers 4.17.0
Pytorch 1.11.0+cpu
Datasets 2.2.0
Tokenizers 0.12.1

Task: Image Classification
Library: transformers
Type: beit
License: apache-2.0
Created: Aug 9, 2022
Updated: Aug 24, 2022