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# 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

{"language": "ru", "tags": ["generated_from_keras_callback"], "datasets": ["sberquad"], "model-index": [{"name": "model-QA-5-epoch-RU", "results": []}]}
transformers tf distilbert question-answering generated_from_keras_callback ru dataset:sberquad endpoints_compatible region:us
TAGS
#transformers #tf #distilbert #question-answering #generated_from_keras_callback #ru #dataset-sberquad #endpoints_compatible #region-us 

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



### Framework versions


* Transformers 4.15.0
* TensorFlow 2.7.0
* Datasets 1.17.0
* Tokenizers 0.10.3



### 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 ### Framework versions


* Transformers 4.15.0
* TensorFlow 2.7.0
* Datasets 1.17.0
* Tokenizers 0.10.3
TAGS
#transformers #tf #distilbert #question-answering #generated_from_keras_callback #ru #dataset-sberquad #endpoints_compatible #region-us 
 ### 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 ### Framework versions


* Transformers 4.15.0
* TensorFlow 2.7.0
* Datasets 1.17.0
* Tokenizers 0.10.3
passage: TAGS
#transformers #tf #distilbert #question-answering #generated_from_keras_callback #ru #dataset-sberquad #endpoints_compatible #region-us 
### 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### Framework versions


* Transformers 4.15.0
* TensorFlow 2.7.0
* Datasets 1.17.0
* Tokenizers 0.10.3