--- license: apache-2.0 tags: - generated_from_trainer datasets: - conll2003 model_index: - name: distilbert-base-uncased-qa-with-ner results: - task: name: Question Answering type: question-answering dataset: name: conll2003 type: conll2003 args: conll2003 --- # distilbert-base-uncased-qa-with-ner This model is a fine-tuned version of [andi611/distilbert-base-uncased-qa](https://huggingface.co/andi611/distilbert-base-uncased-qa) on the conll2003 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: 3e-05 - train_batch_size: 16 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3.0 ### Training results ### Framework versions - Transformers 4.8.2 - Pytorch 1.8.1+cu111 - Datasets 1.8.0 - Tokenizers 0.10.3