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nadimkanazi/
swin-tiny-patch4-window7-224-finetuned-HOMUS

Name: swin-tiny-patch4-window7-224-finetuned-HOMUS
Availability: InStock

generated_from_trainer

apache-2.0

autotrain_compatible

endpoints_compatible

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swin-tiny-patch4-window7-224-finetuned-HOMUS

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: 0.1539
Accuracy: 0.9561
Precision: 0.9565
Recall: 0.9561
F1 Score: 0.9561

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1 Score
1.2499	1.0	83	0.8461	0.7127	0.7385	0.7127	0.6973
0.3816	1.99	166	0.3134	0.8838	0.8923	0.8838	0.8802
0.2474	2.99	249	0.2274	0.9184	0.9247	0.9184	0.9176
0.1276	4.0	333	0.2281	0.9197	0.9255	0.9197	0.9194
0.0933	5.0	416	0.1916	0.9364	0.9407	0.9364	0.9361
0.0629	5.99	499	0.1796	0.9443	0.9466	0.9443	0.9441
0.054	6.99	582	0.1701	0.9465	0.9466	0.9465	0.9462
0.0228	8.0	666	0.1652	0.9482	0.9484	0.9482	0.9480
0.0297	9.0	749	0.1518	0.9548	0.9552	0.9548	0.9547
0.0221	9.97	830	0.1539	0.9561	0.9565	0.9561	0.9561

Framework versions

Transformers 4.30.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.13.3

nadimkanazi/swin-tiny-patch4-window7-224-finetuned-HOMUS

swin-tiny-patch4-window7-224-finetuned-HOMUS

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

nadimkanazi/
swin-tiny-patch4-window7-224-finetuned-HOMUS