--- library_name: transformers license: apache-2.0 base_model: facebook/deit-base-patch16-224 tags: - generated_from_trainer metrics: - accuracy model-index: - name: SPIE_MULTICLASS_FACEBOOK_1_2 results: [] --- # SPIE_MULTICLASS_FACEBOOK_1_2 This model is a fine-tuned version of [facebook/deit-base-patch16-224](https://huggingface.co/facebook/deit-base-patch16-224) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.0721 - Accuracy: 0.9783 ## 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: 2 - 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: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:------:|:----:|:---------------:|:--------:| | 0.2206 | 0.9886 | 65 | 0.1739 | 0.9308 | | 0.1149 | 1.9924 | 131 | 0.1008 | 0.965 | | 0.102 | 2.9962 | 197 | 0.0969 | 0.9633 | | 0.0679 | 4.0 | 263 | 0.0738 | 0.9742 | | 0.0662 | 4.9430 | 325 | 0.0721 | 0.9783 | ### Framework versions - Transformers 4.45.1 - Pytorch 2.4.0 - Datasets 3.0.1 - Tokenizers 0.20.0