vit-base-patch32-224-in21k-finetuned-eurosat

keithanpai/vit-base-patch32-224-in21k-finetuned-eurosat

vit-base-patch32-224-in21k-finetuned-eurosat is a image classification model from keithanpai. 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: vit
Access: Public
Created: Jan 13, 2023
Updated: Jan 17, 2023
SHA: 77497571

Datasets

imagefolder

Model card

From the Hugging Face model README

vit-base-patch32-224-in21k-finetuned-eurosat

This model is a fine-tuned version of google/vit-base-patch32-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.8115
Accuracy: 0.9945

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
1.8903	1.0	102	1.5728	0.9517
1.2226	2.0	204	0.9374	0.9917
1.1069	3.0	306	0.8115	0.9945

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Jan 13, 2023
Updated: Jan 17, 2023