vit-base-beans

NamLe12/vit-base-beans

vit-base-beans is a image classification model from NamLe12. 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

364

Public

Parameters

86.6M

1 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors346 MB · 100%

At a glance

Task: Image Classification
Library: transformers
License: apache-2.0
Model type: dinov2
Access: Public
Created: Dec 1, 2024
Updated: Dec 1, 2024
SHA: 15aac848

Base models

facebook/dinov2-base

Model card

From the Hugging Face model README

vit-base-beans

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

Loss: 0.0421
Accuracy: 0.9774

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 1337
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4416	1.0	130	0.0421	0.9774
0.228	2.0	260	0.5107	0.8872
0.2485	3.0	390	0.1091	0.9549
0.2278	4.0	520	0.1148	0.9774
0.3263	5.0	650	0.1082	0.9850

Framework versions

Transformers 4.46.3
Pytorch 2.5.1
Datasets 3.1.0
Tokenizers 0.20.4

Task: Image Classification
Library: transformers
Type: dinov2
License: apache-2.0
Created: Dec 1, 2024
Updated: Dec 1, 2024