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CheXpert-ViT-U-MultiClass – AI Model by lucascruz | AlphaNeural AI

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lucascruz/
CheXpert-ViT-U-MultiClass

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image-classification

generated_from_trainer

google/vit-base-patch16-224

autotrain_compatible

endpoints_compatible

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CheXpert-ViT-U-MultiClass

This model is a fine-tuned version of google/vit-base-patch16-224 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: 0.0004
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 64
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 5

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.14.1