--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: transformers-qa results: [] --- # transformers-qa This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the SQuAD dataset. It achieves the following results on the evaluation set: - Train Loss: 0.9300 - Validation Loss: 1.1437 ## 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: - optimizer: {'name': 'Adam', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} - training_precision: mixed_float16 ### Training results | Train Loss | Validation Loss | Epoch | |:----------:|:---------------:|:-----:| | 1.5145 | 1.1500 | 0 | | 0.9300 | 1.1437 | 1 | ### Framework versions - Transformers 4.16.0.dev0 - TensorFlow 2.6.0 - Datasets 1.16.2.dev0 - Tokenizers 0.10.3