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vit-base-patch16-224-finetuned-teeth_dataset-finetuned-teeth_dataset-V2 – AI Model by Dhyey8 | AlphaNeural AI
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Dhyey8
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vit-base-patch16-224-finetuned-teeth_dataset-finetuned-teeth_dataset-V2
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transformers
tensorboard
safetensors
vit
image-classification
generated_from_trainer
imagefolder
Dhyey8/vit-base-patch16-224-finetuned-teeth_dataset
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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vit-base-patch16-224-finetuned-teeth_dataset-finetuned-teeth_dataset-V2
This model is a fine-tuned version of
Dhyey8/vit-base-patch16-224-finetuned-teeth_dataset
on the imagefolder dataset. It achieves the following results on the evaluation set:
eval_loss: 0.3243
eval_accuracy: 0.9783
eval_runtime: 7.3971
eval_samples_per_second: 62.186
eval_steps_per_second: 2.028
epoch: 37.87
step: 142
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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 50
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
