Armature_Defect_Detection_Resin

Devarshi/Armature_Defect_Detection_Resin

Armature_Defect_Detection_Resin is a image classification model from Devarshi. 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: swin
Access: Public
Created: Oct 9, 2023
Updated: Oct 9, 2023
SHA: addade44

Datasets

imagefolder

Model card

From the Hugging Face model README

Armature_Defect_Detection_Resin

This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224-in22k on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.4978
Accuracy: 0.76
F1: 0.76
Recall: 0.76
Precision: 0.76

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	F1	Recall	Precision
No log	0.57	1	0.7205	0.44	0.44	0.44	0.44
No log	1.57	2	0.5926	0.6	0.6	0.6	0.6
No log	2.57	3	0.4978	0.76	0.76	0.76	0.76

Framework versions

Transformers 4.23.1
Pytorch 1.13.0
Datasets 2.6.1
Tokenizers 0.13.1

Task: Image Classification
Library: transformers
Type: swin
License: apache-2.0
Created: Oct 9, 2023
Updated: Oct 9, 2023