vit-base-patch16-224-in21k

achyudev/vit-base-patch16-224-in21k

vit-base-patch16-224-in21k is a image classification model from achyudev. Use it when you need a label for an image. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Image Classification
Library: transformers
Model type: vit
Access: Public
Created: Jul 13, 2023
Updated: Nov 17, 2023
SHA: df736750

Model card

From the Hugging Face model README

vit-base-patch16-224-in21k

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3383
F1: 0.9799

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: 48
eval_batch_size: 48
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	10	0.7369	0.9461
No log	2.0	20	0.6143	0.9526
No log	3.0	30	0.5401	0.9594
No log	4.0	40	0.4809	0.9662
No log	5.0	50	0.4219	0.9595
No log	6.0	60	0.3864	0.9730
No log	7.0	70	0.3628	0.9730
No log	8.0	80	0.3496	0.9732
No log	9.0	90	0.3419	0.9799
No log	10.0	100	0.3383	0.9799

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0

Task: Image Classification
Library: transformers
Type: vit
Created: Jul 13, 2023
Updated: Nov 17, 2023