Edit model card

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
Downloads last month
4
Safetensors
Model size
85.9M params
Tensor type
F32
·

Finetuned from