patacoswin_v2 – AI Model by frncscp | AlphaNeural AI

You can deploy this model and start earning money today!

frncscp/
patacoswin_v2

like

0

image-classification

generated_from_trainer

microsoft/swinv2-tiny-patch4-window16-256

autotrain_compatible

endpoints_compatible

Views

No views yet

patacoswin_v2

This model is a fine-tuned version of microsoft/swinv2-tiny-patch4-window16-256 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0328
Accuracy: 0.9910

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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
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
0.6055	0.95	13	0.2709	0.9615
0.2812	1.96	27	0.0866	0.9683
0.1426	2.98	41	0.0584	0.9796
0.07	4.0	55	0.0268	0.9932
0.0579	4.95	68	0.0451	0.9864
0.091	5.96	82	0.0300	0.9887
0.0247	6.98	96	0.0387	0.9864
0.0323	8.0	110	0.0456	0.9887
0.032	8.95	123	0.0475	0.9864
0.0187	9.45	130	0.0328	0.9910

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.3
Tokenizers 0.13.3