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test-save-model – AI Model by vuongnhathien | AlphaNeural AI

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vuongnhathien/
test-save-model

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image-classification

generated_from_trainer

microsoft/swinv2-tiny-patch4-window16-256

autotrain_compatible

endpoints_compatible

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test-save-model

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:

eval_loss: 0.3960
eval_accuracy: 0.8791
eval_runtime: 11.3182
eval_samples_per_second: 65.028
eval_steps_per_second: 4.064
epoch: 1.0
step: 46

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: 5

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2