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beitv2_martin – AI Model by molsen | AlphaNeural AI

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molsen/
beitv2_martin

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image-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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beitv2_martin

This model is a fine-tuned version of microsoft/beit-base-patch16-224-pt22k-ft22k on an unknown 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: 9.576953286904372e-06
train_batch_size: 8
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1002
num_epochs: 35
mixed_precision_training: Native AMP

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu117
Datasets 2.9.0
Tokenizers 0.13.2