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BeiT2_Free_Medimage_segmentation – AI Model by ichigoDifuku | AlphaNeural AI
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BeiT2_Free_Medimage_segmentation
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transformers
safetensors
beit
generated_from_trainer
microsoft/beit-base-patch16-224-pt22k-ft22k
finetune
apache-2.0
endpoints_compatible
us
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BeiT2_Free_Medimage_segmentation
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Framework versions
Transformers 4.45.1
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0
