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---
license: apache-2.0
base_model: Dhyey8/vit-base-patch16-224-finetuned-teeth_dataset
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: vit-base-patch16-224-finetuned-teeth_dataset-finetuned-teeth_dataset-V2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 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](https://huggingface.co/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
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