Edit model card


This model is a fine-tuned version of 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
Downloads last month
Hosted inference API
Question Answering
This model can be loaded on the Inference API on-demand.

Dataset used to train AndrewChar/model-QA-5-epoch-RU