vit-base-patch16-224-in21k-bantai_vitv1

AykeeSalazar/vit-base-patch16-224-in21k-bantai_vitv1

vit-base-patch16-224-in21k-bantai_vitv1 is a image classification model from AykeeSalazar. 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: vit
Access: Public
Created: Apr 2, 2022
Updated: Apr 3, 2022
SHA: 53e4a208

Datasets

image_folder

Model card

From the Hugging Face model README

vit-base-patch16-224-in21k-bantai_vitv1

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the image_folder dataset. It achieves the following results on the evaluation set:

Loss: 0.3961
Accuracy: 0.8636

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
0.5997	1.0	115	0.5401	0.7886
0.4696	2.0	230	0.4410	0.8482
0.4019	3.0	345	0.3961	0.8636

Framework versions

Transformers 4.17.0
Pytorch 1.10.0+cu111
Datasets 2.0.0
Tokenizers 0.11.6

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Apr 2, 2022
Updated: Apr 3, 2022