readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: Haakf/distilbert-base-uncased-padded_center_allsides_news_headlines_e20
    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. -->
  
  # Haakf/distilbert-base-uncased-padded_center_allsides_news_headlines_e20
  
  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: 1.7022
  - Validation Loss: 1.6515
  - Epoch: 19
  
  ## 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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': -880, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
  - training_precision: mixed_float16
  
  ### Training results
  
  | Train Loss | Validation Loss | Epoch |
  |:----------:|:---------------:|:-----:|
  | 1.8100     | 1.7233          | 0     |
  | 1.7836     | 1.6320          | 1     |
  | 1.7650     | 1.6427          | 2     |
  | 1.7670     | 1.6916          | 3     |
  | 1.7592     | 1.7243          | 4     |
  | 1.7520     | 1.6723          | 5     |
  | 1.7385     | 1.6964          | 6     |
  | 1.7216     | 1.6719          | 7     |
  | 1.7057     | 1.7072          | 8     |
  | 1.7109     | 1.5978          | 9     |
  | 1.6998     | 1.6361          | 10    |
  | 1.6927     | 1.6118          | 11    |
  | 1.6873     | 1.7654          | 12    |
  | 1.6862     | 1.7086          | 13    |
  | 1.6910     | 1.6529          | 14    |
  | 1.6901     | 1.6853          | 15    |
  | 1.6755     | 1.6876          | 16    |
  | 1.7081     | 1.7558          | 17    |
  | 1.6999     | 1.7398          | 18    |
  | 1.7022     | 1.6515          | 19    |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - TensorFlow 2.9.2
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  