End of training

README.md

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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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