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swin-base-30vn – AI Model by vuongnhathien | AlphaNeural AI
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vuongnhathien
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swin-base-30vn
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transformers
tensorboard
safetensors
swinv2
image-classification
generated_from_trainer
imagefolder
vuongnhathien/swin-base-30vn
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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swin-base-30vn
This model is a fine-tuned version of
vuongnhathien/swin-base-30vn
on the imagefolder dataset.
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: 30
Framework versions
Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2
