readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: Haakf/allsides_right_headline_padded_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_headline_padded_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: 2.7906
  - Validation Loss: 3.0025
  - 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': -797, '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 |
  |:----------:|:---------------:|:-----:|
  | 2.9428     | 2.8153          | 0     |
  | 2.8642     | 2.7500          | 1     |
  | 2.8393     | 2.7033          | 2     |
  | 2.8209     | 2.8135          | 3     |
  | 2.7471     | 2.7677          | 4     |
  | 2.6914     | 2.7741          | 5     |
  | 2.6887     | 2.8984          | 6     |
  | 2.7127     | 2.9609          | 7     |
  | 2.7260     | 2.9091          | 8     |
  | 2.7227     | 2.7959          | 9     |
  | 2.7109     | 2.8002          | 10    |
  | 2.7650     | 2.7278          | 11    |
  | 2.6969     | 2.7388          | 12    |
  | 2.7294     | 2.7528          | 13    |
  | 2.7312     | 2.7870          | 14    |
  | 2.7302     | 2.8599          | 15    |
  | 2.7976     | 2.9173          | 16    |
  | 2.7120     | 2.7238          | 17    |
  | 2.7125     | 2.8336          | 18    |
  | 2.7906     | 3.0025          | 19    |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - TensorFlow 2.9.2
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  