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Afzalsiiit/
SwimV2

Name: SwimV2
Availability: InStock

generated_from_trainer

imagefolder

microsoft/swin-tiny-patch4-window7-224

finetune

apache-2.0

endpoints_compatible

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SwimV2

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: 0.0290

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
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.2588	1.0	77	0.0491
0.1207	2.0	154	0.0314
0.1638	3.0	231	0.0820
0.0741	4.0	308	0.0300
0.0911	5.0	385	0.0147
0.0837	6.0	462	0.0227
0.0634	7.0	539	0.0381
0.0497	8.0	616	0.0427
0.0371	9.0	693	0.0250
0.0345	10.0	770	0.0290

Framework versions

Transformers 5.12.1
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

Afzalsiiit/SwimV2

SwimV2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Afzalsiiit/
SwimV2