My Beauty Vit

--- library_name: transformers license: apache-2.0 base_model: google/vit-base-patch16-224 tags: - generated_from_trainer model-index: - name: my-beauty-vit 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. --> # my-beauty-vit This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.0062 - Pearson: 0.8867 - Mse: 0.0062 ## 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: 2e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 5 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Pearson | Mse | |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:| | 0.0088 | 1.0 | 104 | 0.0081 | 0.8539 | 0.0081 | | 0.0059 | 2.0 | 208 | 0.0070 | 0.8742 | 0.0070 | | 0.0040 | 3.0 | 312 | 0.0065 | 0.8828 | 0.0065 | | 0.0038 | 4.0 | 416 | 0.0068 | 0.8866 | 0.0068 | | 0.0027 | 5.0 | 520 | 0.0062 | 0.8867 | 0.0062 | ### Framework versions - Transformers 5.12.1 - Pytorch 2.11.0+cu128 - Datasets 4.0.0 - Tokenizers 0.22.2

Source context: 8 downloads · 0 likes · Pipeline image-classification · Library transformers · Repo iuoiu/my-beauty-vit

Source context: 104 downloads · 0 likes · Pipeline image-classification · Library transformers · Repo iuoiu/my-beauty-vit