You can deploy this model and start earning money today!

hamnabint/
swin-transformer-results

Name: swin-transformer-results
Rating: 2.5 (7 reviews)

generated_from_trainer

microsoft/swin-tiny-patch4-window7-224

Views

No views yet

swin-transformer-results

This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.8055
Accuracy: 0.6794
F1: 0.6810
Precision: 0.6904

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision
1.0686	0.1952	500	1.0585	0.5266	0.5042	0.5355
1.3283	0.3903	1000	1.0015	0.5722	0.5794	0.6006
0.991	0.5855	1500	0.9601	0.5828	0.5865	0.6194
0.7919	0.7806	2000	0.9066	0.6135	0.6191	0.6580
0.9748	0.9758	2500	0.8327	0.6460	0.6443	0.6458
0.7183	1.1710	3000	0.8808	0.6421	0.6419	0.6638
0.769	1.3661	3500	0.8454	0.6526	0.6483	0.6553
0.8558	1.5613	4000	0.8773	0.6482	0.6364	0.6454
0.6713	1.7564	4500	0.8338	0.6561	0.6560	0.6711
0.7476	1.9516	5000	0.8083	0.6632	0.6636	0.6690
0.6896	2.1468	5500	0.8055	0.6794	0.6810	0.6904
0.648	2.3419	6000	0.8252	0.6697	0.6726	0.6822
0.5969	2.5371	6500	0.8179	0.6697	0.6676	0.6661
0.7098	2.7322	7000	0.8139	0.6724	0.6705	0.6698
0.5318	2.9274	7500	0.8033	0.6790	0.6783	0.6793

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cpu
Datasets 3.0.0
Tokenizers 0.19.1

hamnabint/swin-transformer-results

swin-transformer-results

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

hamnabint/
swin-transformer-results