| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_keras_callback |
| model-index: |
| - name: ateffal/question-recognizer |
| results: [] |
| --- |
| |
| <!-- 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. --> |
|
|
| # ateffal/question-recognizer |
|
|
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Train Loss: 0.0006 |
| - Validation Loss: 0.0119 |
| - Train Accuracy: 0.998 |
| - Epoch: 9 |
|
|
| ## 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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 5100, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False} |
| - training_precision: float32 |
| |
| ### Training results |
| |
| | Train Loss | Validation Loss | Train Accuracy | Epoch | |
| |:----------:|:---------------:|:--------------:|:-----:| |
| | 0.0953 | 0.0062 | 0.9985 | 0 | |
| | 0.0196 | 0.0105 | 0.9972 | 1 | |
| | 0.0076 | 0.0051 | 0.9988 | 2 | |
| | 0.0081 | 0.0048 | 0.9985 | 3 | |
| | 0.0052 | 0.0117 | 0.998 | 4 | |
| | 0.0030 | 0.0101 | 0.9982 | 5 | |
| | 0.0019 | 0.0112 | 0.998 | 6 | |
| | 0.0013 | 0.0113 | 0.9982 | 7 | |
| | 0.0008 | 0.0120 | 0.998 | 8 | |
| | 0.0006 | 0.0119 | 0.998 | 9 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.27.4 |
| - TensorFlow 2.11.0 |
| - Datasets 2.1.0 |
| - Tokenizers 0.13.2 |
| |
