metadata

language:
  - en
license: apache-2.0
tags:
  - generated_from_keras_callback
metrics:
  - accuracy
base_model: distilbert-base-uncased
model-index:
  - name: As1b-distilbert_classifier
    results: []

As1b-distilbert_classifier

This model is a fine-tuned version of distilbert-base-uncased on the 20 newsgroups dataset.
The details about the dataset from Scikit Learn.

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% accuracy.

Framework versions

Transformers 4.28.0
TensorFlow 2.12.0
Datasets 2.12.0
Tokenizers 0.13.3