dinov2-base-finetuned-eurosat

LennyTheJetSmith/dinov2-base-finetuned-eurosat

dinov2-base-finetuned-eurosat is a image classification model from LennyTheJetSmith. 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: dinov2
Access: Public
Created: May 8, 2024
Updated: May 8, 2024
SHA: 1007e563

Base models

facebook/dinov2-base

Datasets

imagefolder

Model card

From the Hugging Face model README

dinov2-base-finetuned-eurosat

This model is a fine-tuned version of facebook/dinov2-base on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.6583
Accuracy: 0.6288

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
0.6861	0.9960	63	0.6516	0.6276
0.6401	1.9921	126	0.6583	0.6288
0.6342	2.9881	189	0.6410	0.6288

Framework versions

Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Task: Image Classification
Library: transformers
Type: dinov2
License: apache-2.0
Created: May 8, 2024
Updated: May 8, 2024