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radiovers16v – AI Model by crncskn | AlphaNeural AI
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radiovers16v
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transformers
tensorboard
safetensors
vit_mae
pretraining
masked-auto-encoding
generated_from_trainer
imagefolder
endpoints_compatible
us
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radiovers16v
This model is a fine-tuned version of
on the /kaggle/radioai/radiology_ai dataset. It achieves the following results on the evaluation set:
Loss: 0.4036
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: 3.125e-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: 40.0
Training results
Framework versions
Transformers 4.39.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
