readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: Haakf/allsides_right_text_headline_conc_overfit
    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/allsides_right_text_headline_conc_overfit
  
  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: 2.0848
  - Validation Loss: 2.0448
  - 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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'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': -838, '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}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
  - training_precision: mixed_float16
  
  ### Training results
  
  | Train Loss | Validation Loss | Epoch |
  |:----------:|:---------------:|:-----:|
  | 2.1856     | 2.1365          | 0     |
  | 2.1734     | 2.1200          | 1     |
  | 2.1578     | 2.1660          | 2     |
  | 2.1478     | 2.0843          | 3     |
  | 2.1231     | 2.0721          | 4     |
  | 2.1248     | 2.0812          | 5     |
  | 2.0958     | 2.0247          | 6     |
  | 2.0929     | 2.0329          | 7     |
  | 2.0960     | 2.0621          | 8     |
  | 2.0902     | 2.0905          | 9     |
  | 2.0743     | 2.0133          | 10    |
  | 2.0776     | 2.0508          | 11    |
  | 2.0842     | 2.1050          | 12    |
  | 2.0694     | 2.0792          | 13    |
  | 2.0839     | 2.0188          | 14    |
  | 2.1077     | 2.0060          | 15    |
  | 2.1008     | 2.0725          | 16    |
  | 2.0785     | 2.0750          | 17    |
  | 2.0796     | 2.0223          | 18    |
  | 2.0848     | 2.0448          | 19    |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - TensorFlow 2.9.2
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  