dinov2-base-finetuned-oxford

levent1/dinov2-base-finetuned-oxford

dinov2-base-finetuned-oxford is a image classification model from levent1. 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. --

Downloads · 30 days

2% of all-time downloads

All-time downloads

435

Public

Parameters

86.6M

1 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors347 MB · 100%

At a glance

Task: Image Classification
Library: transformers
License: apache-2.0
Model type: dinov2
Access: Public
Created: Apr 25, 2024
Updated: Apr 25, 2024
SHA: 55dbcf09

Base models

facebook/dinov2-base

Model card

From the Hugging Face model README

dinov2-base-finetuned-oxford

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

Loss: 0.2296
Accuracy: 0.9319

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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
1.0593	1.0	230	0.6444	0.7855
0.4115	2.0	460	0.4093	0.8705
0.0495	3.0	690	0.2296	0.9319

Framework versions

Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Task: Image Classification
Library: transformers
Type: dinov2
License: apache-2.0
Created: Apr 25, 2024
Updated: Apr 25, 2024