| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_keras_callback |
| model-index: |
| - name: distilbert_classifier_newsgroups |
| results: [] |
| datasets: |
| - newsgroup |
| language: |
| - en |
| metrics: |
| - accuracy |
| library_name: transformers |
| pipeline_tag: text-classification |
| --- |
| |
| <!-- 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. --> |
|
|
| # distilbert_classifier_newsgroups |
|
|
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the [20 Newsgroups](http://qwone.com/~jason/20Newsgroups/) dataset. |
|
|
| ## 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': 1908, '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 |
| |
| Achieved 83.4% acc. |
| |
| ### Framework versions |
| |
| - Transformers 4.28.0 |
| - TensorFlow 2.12.0 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
