--- library_name: transformers license: mit base_model: LLMTestSaurav/donut-base-finetuned-classification tags: - generated_from_trainer datasets: - imagefolder model-index: - name: donut-base-finetuned-classification results: [] --- # donut-base-finetuned-classification This model is a fine-tuned version of [LLMTestSaurav/donut-base-finetuned-classification](https://huggingface.co/LLMTestSaurav/donut-base-finetuned-classification) on the imagefolder dataset. ## 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: 1 - eval_batch_size: 1 - 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 - training_steps: 30000 - mixed_precision_training: Native AMP ### Training results ### Framework versions - Transformers 4.56.1 - Pytorch 2.11.0+cu128 - Datasets 4.0.0 - Tokenizers 0.22.2
