--- library_name: transformers license: cc-by-nc-sa-4.0 base_model: microsoft/layoutlmv2-base-uncased tags: - generated_from_trainer model-index: - name: layoutlmv2-base-uncased_finetuned_docvqa results: [] --- # layoutlmv2-base-uncased_finetuned_docvqa This model is a fine-tuned version of [microsoft/layoutlmv2-base-uncased](https://huggingface.co/microsoft/layoutlmv2-base-uncased) on an unknown dataset. It achieves the following results on the evaluation set: - epoch: 5.3097 - eval_loss: 2.5352 - eval_runtime: 30.0453 - eval_samples_per_second: 6.324 - eval_steps_per_second: 0.799 - step: 600 ## 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: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 12 ### Framework versions - Transformers 4.44.2 - Pytorch 2.5.0+cu121 - Datasets 3.1.0 - Tokenizers 0.19.1