swin-tiny-patch4-window7-224-finetuned-tiny-imagenet

LucasThil/swin-tiny-patch4-window7-224-finetuned-tiny-imagenet

swin-tiny-patch4-window7-224-finetuned-tiny-imagenet is a image classification model from LucasThil. 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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Repo makeup

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.safetensors111 MB · 100%

Parameter types

How the weights are stored.

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Base models

microsoft/swin-tiny-patch4-window7-224

Model card

From the Hugging Face model README

swin-tiny-patch4-window7-224-finetuned-tiny-imagenet

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

Loss: 0.6643
Accuracy: 0.8234

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
1.8008	0.9996	703	0.9033	0.7728
1.4699	1.9993	1406	0.7138	0.8114
1.2742	2.9989	2109	0.6643	0.8234

Framework versions

Transformers 4.40.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Task: Image Classification
Library: transformers
Type: swin
License: apache-2.0
Created: Jun 26, 2024
Updated: Jun 27, 2024