| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_keras_callback |
| model-index: |
| - name: transformers-qa |
| results: [] |
| widget: |
| - text: "What is Keras?" |
| context: "Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear and actionable feedback upon user error." |
| --- |
| |
| <!-- This model card has been generated automatically according to the information Keras had access to. You should |
| probably proofread and complete it, then remove this comment. --> |
|
|
| # transformers-qa |
|
|
| This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on SQuAD dataset. |
| It achieves the following results on the evaluation set: |
| - Train Loss: 0.9300 |
| - Validation Loss: 1.1437 |
| - Epoch: 1 |
|
|
| ## Model description |
|
|
| Question answering model based on distilbert-base-cased, trained with 🤗Transformers + ❤️Keras. |
|
|
| ## Intended uses & limitations |
|
|
| This model is trained for Question Answering tutorial for Keras.io. |
|
|
| ## Training and evaluation data |
|
|
| It is trained on [SQuAD](https://huggingface.co/datasets/squad) question answering dataset. |
|
|
| ## Training procedure |
|
|
| Find notebook [here](https://github.com/merveenoyan/keras-io-transformers/blob/main/Question_Answering_on_SQUAD_for_Keras_io.ipynb). |
|
|
| ### 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 |
| |
