swinv2-base-patch4-window8-256-isic217 – AI Model by vananhle | AlphaNeural AI

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vananhle/
swinv2-base-patch4-window8-256-isic217

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image-classification

generated_from_trainer

microsoft/swinv2-base-patch4-window8-256

autotrain_compatible

endpoints_compatible

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swinv2-base-patch4-window8-256-isic217

This model is a fine-tuned version of microsoft/swinv2-base-patch4-window8-256 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.1588
Accuracy: 0.65

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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
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
2.1681	0.9888	22	2.0018	0.25
1.9254	1.9775	44	1.7653	0.35
1.6706	2.9663	66	1.6649	0.6
1.2834	4.0	89	1.5579	0.5
1.2039	4.9888	111	1.4087	0.55
0.9395	5.9775	133	1.3115	0.5
0.7532	6.9663	155	1.3599	0.6
0.6573	8.0	178	1.1588	0.65
0.6663	8.9888	200	1.2074	0.6
0.4686	9.8876	220	1.2285	0.6

Framework versions

Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1