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- BioM-Transformers: Building Large Biomedical Language Models with
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- BERT, ALBERT and ELECTRA
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  Abstract
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@@ -59,19 +58,22 @@ To reproduce results in Google Colab:
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  - Run this python code:
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  ```python
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- python /content/transformers/examples/pytorch/question-answering/run_qa.py --model_name_or_path sultan/BioM-ELECTRA-Large-SQuAD2 \
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- --do_eval \
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- --version_2_with_negative \
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- --per_device_eval_batch_size 8 \
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- --dataset_name squad_v2 \
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- --overwrite_output_dir \
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- --fp16 \
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  --output_dir out
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  ```
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  You don't need to download the SQuAD2 dataset. The code will download it from the HuggingFace datasets hub.
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  Citation
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+ BioM-Transformers: Building Large Biomedical Language Models with BERT, ALBERT and ELECTRA
 
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  Abstract
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  - Run this python code:
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  ```python
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+ python /content/transformers/examples/pytorch/question-answering/run_qa.py --model_name_or_path sultan/BioM-ELECTRA-Large-SQuAD2 \\
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+ --do_eval \\
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+ --version_2_with_negative \\
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+ --per_device_eval_batch_size 8 \\
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+ --dataset_name squad_v2 \\
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+ --overwrite_output_dir \\
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+ --fp16 \\
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  --output_dir out
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  ```
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  You don't need to download the SQuAD2 dataset. The code will download it from the HuggingFace datasets hub.
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+ Check our GitHub repo at https://github.com/salrowili/BioM-Transformers for TensorFlow and GluonNLP
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+
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+
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  Citation
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