beit-base-patch16-224-pt22k-ft22k-finetuned-mnist

Karelito00/beit-base-patch16-224-pt22k-ft22k-finetuned-mnist

beit-base-patch16-224-pt22k-ft22k-finetuned-mnist is a image classification model from Karelito00. 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: beit
Access: Public
Created: Oct 26, 2022
Updated: Oct 26, 2022
SHA: b09c06ce

Datasets

mnist

Model card

From the Hugging Face model README

beit-base-patch16-224-pt22k-ft22k-finetuned-mnist

This model is a fine-tuned version of microsoft/beit-base-patch16-224-pt22k-ft22k on the mnist dataset. It achieves the following results on the evaluation set:

Loss: 0.0202
Accuracy: 0.9935

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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
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
0.3376	1.0	937	0.0446	0.9855
0.318	2.0	1874	0.0262	0.9916
0.2374	3.0	2811	0.0202	0.9935

Framework versions

Transformers 4.23.1
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.1

Task: Image Classification
Library: transformers
Type: beit
License: apache-2.0
Created: Oct 26, 2022
Updated: Oct 26, 2022