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Ivanrs/
vit-base-kidney-stone

Name: vit-base-kidney-stone
Availability: InStock

safetensors

vit

generated_from_trainer

imagefolder

google/vit-base-patch16-224-in21k

finetune

apache-2.0

model-index

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vit-base-kidney-stone

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.6356
Accuracy: 0.8133
Precision: 0.8451
Recall: 0.8133
F1: 0.8083

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: 0.0002
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.2529	0.33	100	0.6368	0.7996	0.8486	0.7996	0.8000
0.071	0.67	200	0.6456	0.8142	0.8425	0.8142	0.8020
0.032	1.0	300	0.6356	0.8133	0.8451	0.8133	0.8083

Framework versions

Transformers 4.37.2
Pytorch 2.1.1
Datasets 3.1.0
Tokenizers 0.15.2

Ivanrs/vit-base-kidney-stone

vit-base-kidney-stone

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Ivanrs/
vit-base-kidney-stone