Upload readme.md

readme.md

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+#**Reproduce my result**
+##**Environment**
+```
+pip install -r requirements.txt
+```
+
+##**Download**
+Download training, validation, testing data, as well as multiple choice model and question answering model.
+```
+bash ./download.sh
+```
+
+##**Multiple Choice**
+```
+python run_multiple_choice.py \
+--context_data <context.json> \
+--train_data <train.json> \
+--valid_data <valid.json> \
+--test_data <test.json> \
+--max_seq_length 512 \
+--gradient_accumulation_steps 8 \
+--model_name_or_path bert-base-chinese \
+--learning_rate 2e-5 \
+--output_dir <output directory> \
+--per_device_train_batch_size 8
+```
+-**model_name_or_path**: Path to pretrained model.
+
+-**output_dir**: Path to directory which saves the model outputs.
+
+-**context_data**: Path to context.json.
+
+-**train_data**: Path to train.json.
+
+-**valid_data**: Path to valid.json.
+
+-**test_data**: Path to test.json.
+
+##**Question Answering**
+```
+python run_question_answering.py \
+--context_data <context.json> \
+--train_data <train.json> \
+--valid_data <valid.json> \
+--test_data <test.json> \
+--max_seq_length 512 \
+--gradient_accumulation_steps 8 \
+--model_name_or_path hfl/chinese-roberta-wwm-ext-large \
+--learning_rate 2e-5 \
+--output_dir <output directory> \
+--per_device_train_batch_size 8
+```
+-**model_name_or_path**: Path to pretrained model.
+
+-**output_dir**: Path to directory which saves the model outputs.
+
+-**context_data**: Path to context.json.
+
+-**train_data**: Path to train.json.
+
+-**valid_data**: Path to valid.json.
+
+-**test_data**: Path to test.json.
+
+##**Reproduce my result**
+```
+bash ./download.sh
+bash ./run.sh /path/to/context.json /path/to/test.json /path/to/pred/prediction.csv
+```