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histo_train – AI Model by tcvrishank | AlphaNeural AI
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tcvrishank
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histo_train
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transformers
pytorch
tensorboard
vit
image-classification
generated_from_trainer
image_folder
apache-2.0
autotrain_compatible
endpoints_compatible
us
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histo_train
This model is a fine-tuned version of
google/vit-base-patch16-224
on the image_folder 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: 0.001
train_batch_size: 64
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.26.1
Pytorch 1.13.0
Datasets 2.1.0
Tokenizers 0.13.2