swinv2-tiny-patch4-window8-256-finetuned-og-dataset-10e-finetuned-og-dataset-10e – AI Model by Gokulapriyan | AlphaNeural AI

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Gokulapriyan/
swinv2-tiny-patch4-window8-256-finetuned-og-dataset-10e-finetuned-og-dataset-10e

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image-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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swinv2-tiny-patch4-window8-256-finetuned-og-dataset-10e-finetuned-og-dataset-10e

This model is a fine-tuned version of Gokulapriyan/swinv2-tiny-patch4-window8-256-finetuned-og-dataset-10e on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.0556
Accuracy: 0.9783

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2237	1.0	546	0.0729	0.9735
0.1672	2.0	1092	0.0556	0.9783

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2