license: apache-2.0 | |
tags: | |
- generated_from_keras_callback | |
model-index: | |
- name: distilbert_classifier_newsgroups | |
results: [] | |
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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 an unknown dataset. | |
It achieves the following results on the evaluation set: | |
## 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': 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 | |
### Framework versions | |
- Transformers 4.28.0 | |
- TensorFlow 2.12.0 | |
- Datasets 2.12.0 | |
- Tokenizers 0.13.3 | |