test-seed – AI Model by vuongnhathien | AlphaNeural AI

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vuongnhathien/
test-seed

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image-classification

generated_from_trainer

microsoft/swinv2-tiny-patch4-window16-256

autotrain_compatible

endpoints_compatible

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test-seed

This model is a fine-tuned version of microsoft/swinv2-tiny-patch4-window16-256 on the don't care dataset. It achieves the following results on the evaluation set:

Loss: 0.6797
Accuracy: 0.75

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: 0.0003
train_batch_size: 64
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	10	0.6739	0.7375
No log	2.0	20	0.4469	0.875

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2