vit-base-patch16-224-finetuned-teeth_dataset-finetuned-teeth_dataset-V2

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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