readme: ---
  tags:
  - generated_from_keras_callback
  language: ru
  datasets:
   - sberquad
  model-index:
  - name: model-QA-5-epoch-RU
    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. -->
  
  # model-QA-5-epoch-RU
  
  This model is a fine-tuned version of [AndrewChar/diplom-prod-epoch-4-datast-sber-QA](https://huggingface.co/AndrewChar/diplom-prod-epoch-4-datast-sber-QA) on  sberquad
   dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 1.1991
  - Validation Loss: 0.0
  - Epoch: 5
  
  ## Model description
  
  Модель отвечающая на вопрос по контектсу
   это дипломная работа 
  ## Intended uses & limitations
  
  Контекст должен содержать не более 512 токенов  
  
  ## Training and evaluation data
  DataSet SberSQuAD
  {'exact_match': 54.586, 'f1': 73.644}
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_re': 2e-06 'decay_steps': 2986, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Validation Loss | Epoch |
  |:----------:|:---------------:|:-----:|
  | 1.1991     |                 | 5     |
  
  
  ### Framework versions
  
  - Transformers 4.15.0
  - TensorFlow 2.7.0
  - Datasets 1.17.0
  - Tokenizers 0.10.3
  