swin-tiny-patch4-window7-224-finetuned-sealv1

mountaincreek12/swin-tiny-patch4-window7-224-finetuned-sealv1

swin-tiny-patch4-window7-224-finetuned-sealv1 is a image classification model from mountaincreek12. 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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.safetensors110 MB · 100%

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Base models

microsoft/swin-tiny-patch4-window7-224

Datasets

imagefolder

Model card

From the Hugging Face model README

swin-tiny-patch4-window7-224-finetuned-sealv1

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

Loss: 0.4069
Accuracy: 0.9470

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: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.95	9	1.1667	0.6023
1.2777	2.0	19	0.9542	0.8864
0.8743	2.95	28	0.5694	0.9015
0.5282	4.0	38	0.3682	0.9129
0.2988	4.95	47	0.2135	0.9545
0.1832	6.0	57	0.2820	0.9167
0.1867	6.95	66	0.1944	0.9432
0.1077	8.0	76	0.2345	0.9432
0.0571	8.95	85	0.2389	0.9470
0.0379	10.0	95	0.2260	0.9432
0.0233	10.95	104	0.2329	0.9432
0.0163	12.0	114	0.2610	0.9356
0.019	12.95	123	0.3660	0.9508
0.0113	14.0	133	0.2777	0.9470
0.0084	14.95	142	0.3123	0.9508
0.008	16.0	152	0.3222	0.9470
0.0048	16.95	161	0.3232	0.9470
0.0075	18.0	171	0.3476	0.9508
0.0048	18.95	180	0.3304	0.9470
0.0143	20.0	190	0.4560	0.9432
0.0143	20.95	199	0.3720	0.9432
0.0019	22.0	209	0.3579	0.9394
0.0063	22.95	218	0.4064	0.9432
0.0023	24.0	228	0.4741	0.9394
0.0015	24.95	237	0.4111	0.9470
0.0022	26.0	247	0.3914	0.9432
0.0008	26.95	256	0.3945	0.9432
0.0024	28.0	266	0.4053	0.9470
0.0026	28.42	270	0.4069	0.9470

Framework versions

Transformers 4.38.2
Pytorch 1.10.2+cu113
Datasets 2.18.0
Tokenizers 0.15.2

Task: Image Classification
Library: transformers
Type: swin
License: apache-2.0
Created: Feb 25, 2024
Updated: Apr 8, 2024