swin-base-patch4-window7-224-in22k-finetuned-CT-V2

franzzepol/swin-base-patch4-window7-224-in22k-finetuned-CT-V2

swin-base-patch4-window7-224-in22k-finetuned-CT-V2 is a image classification model from franzzepol. 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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Hugging Face

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.safetensors348 MB · 100%

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How the weights are stored.

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Base models

microsoft/swin-base-patch4-window7-224-in22k

Model card

From the Hugging Face model README

swin-base-patch4-window7-224-in22k-finetuned-CT-V2

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

Loss: 0.0068
Accuracy: 0.9983

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	1147	0.0708	0.9768
No log	2.0	2294	0.0423	0.9871
No log	3.0	3441	0.0128	0.9963
No log	4.0	4588	0.0155	0.9951
No log	5.0	5735	0.0075	0.9980
No log	6.0	6882	0.0090	0.9979
No log	7.0	8029	0.0075	0.9976
0.1295	8.0	9176	0.0068	0.9983

Framework versions

Transformers 4.41.2
Pytorch 2.3.1+cpu
Datasets 2.20.0
Tokenizers 0.19.1

Task: Image Classification
Library: transformers
Type: swin
License: apache-2.0
Created: Jul 12, 2024
Updated: Jul 19, 2024