sagorsarker
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mbert-bengali-tydiqa-qa

Question Answering

Inference Endpoints

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sagorsarker commited on Jun 3, 2021

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 - `mBERT-Bengali-Tydiqa-QA`  model build using [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased)
 - `mBERT-Bengali-Tydiqa-QA` model trained with [tydiqa](https://github.com/google-research-datasets/tydiqa) Bengali datasets.
 - Tydiqa Bengali data contains **2390 train** data and **113 validation** data
-- `mBERT-Bengali-Tydiqa-QA` model trained in [kaggle](kaggle.com) GPU
 - `mBERT-Bengali-Tydiqa-QA` model trained total 5 epochs
 - `mBERT-Bengali-Tydiqa-QA` trained using [transformers/example/question-aswering](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/question_answering.ipynb) notebook with all default settings except pre-trained model and datasets part

 - `mBERT-Bengali-Tydiqa-QA`  model build using [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased)
 - `mBERT-Bengali-Tydiqa-QA` model trained with [tydiqa](https://github.com/google-research-datasets/tydiqa) Bengali datasets.
 - Tydiqa Bengali data contains **2390 train** data and **113 validation** data
+- `mBERT-Bengali-Tydiqa-QA` model trained in [kaggle](https://www.kaggle.com/) GPU
 - `mBERT-Bengali-Tydiqa-QA` model trained total 5 epochs
 - `mBERT-Bengali-Tydiqa-QA` trained using [transformers/example/question-aswering](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/question_answering.ipynb) notebook with all default settings except pre-trained model and datasets part