metadata
tags:
- generated_from_keras_callback
language: ru
datasets:
- sberquad
model-index:
- name: model-QA-5-epoch-RU
results: []
model-QA-5-epoch-RU
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