vit-base-patch16-224-in21k

Akshay-123/vit-base-patch16-224-in21k

vit-base-patch16-224-in21k is a image classification model from Akshay-123. 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: Jul 13, 2023
SHA: 2148e7c4

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: 0.7692
F1: 0.9865

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	1.5877	0.6675
No log	2.0	20	1.4149	0.8402
No log	3.0	30	1.2687	0.8917
No log	4.0	40	1.1382	0.9113
No log	5.0	50	1.0214	0.9523
No log	6.0	60	0.9285	0.9662
No log	7.0	70	0.8601	0.9728
No log	8.0	80	0.8089	0.9797
No log	9.0	90	0.7796	0.9865
No log	10.0	100	0.7692	0.9865

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

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