beit-base-patch16-224-pt22k-ft22k-finetuning

Rocky807/beit-base-patch16-224-pt22k-ft22k-finetuning

beit-base-patch16-224-pt22k-ft22k-finetuning is a image classification model from Rocky807. 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: Apr 22, 2024
Updated: Apr 24, 2024
SHA: dcc2851f

Base models

microsoft/beit-base-patch16-224-pt22k-ft22k

Model card

From the Hugging Face model README

beit-base-patch16-224-pt22k-ft22k-finetuning

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

Loss: 0.2268
Accuracy: 0.921

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
0.3814	0.9979	351	0.3500	0.8838
0.3251	1.9986	703	0.2797	0.9042
0.2368	2.9936	1053	0.2436	0.9168

Framework versions

Transformers 4.41.0.dev0
Pytorch 2.2.2
Datasets 2.18.0
Tokenizers 0.19.1

Task: Image Classification
Library: transformers
Type: beit
License: apache-2.0
Created: Apr 22, 2024
Updated: Apr 24, 2024