test

example/ner/standard/README.md

@@ -34,25 +34,13 @@ git clone git@github.com:zjunlp/DeepKE.git
   - `train.txt`：存放训练数据集
   - `valid.txt`：存放验证数据集
   - `test.txt`：存放测试数据集
+- 开始训练：```python run.py``` (训练所用到参数都在conf文件夹中，修改即可)
 
-- 先进行训练，训练后的模型参数保存在`out_ner`文件夹中
-
-  ```
-  python run.py --data_dir=data/ --bert_model=bert-base-cased --task_name=ner --output_dir=out_ner --max_seq_length=128 --do_train --num_train_epochs 5 --do_eval --warmup_proportion=0.1
-  ```
-
-- 再进行预测
-
-  - 执行以下命令运行示例`python predict.py`
-
-  - 如果需要指定NER的文本，可以利用--text参数指定，如：
-
-    ````
-    python predict.py --text="It was one o'clock when we left Lauriston Gardens and Sherlock Holmes led me to Metropolitan Police Service.."
-    ````
-
+- 每次训练的日志保存在 `logs` 文件夹内，模型结果保存在 `checkpoints` 文件夹内。
 
+- 进行预测 ```python predict.py```
 
 ## 模型内容
 
 BERT
+

tutorial-notebooks/ner/standard/tutorial.ipynb

@@ -65,7 +65,9 @@
    "metadata": {},
    "source": [
     "## BERT\n",
-    "[**Bidirectional Encoder Representations from Transformers (BERT)**](https://github.com/google-research/bert) is a transformer-based machine learning technique for natural language processing (NLP) pre-training developed by Google."
+    "[**Bidirectional Encoder Representations from Transformers (BERT)**](https://github.com/google-research/bert) is a transformer-based machine learning technique for natural language processing (NLP) pre-training developed by Google.\n",
+    "\n",
+    "![BERT](img\\BERT.png)"
    ]
   },
   {
@@ -894,7 +896,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -909,6 +911,24 @@
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
    "version": "3.7.11"
+  },
+  "latex_envs": {
+   "LaTeX_envs_menu_present": true,
+   "autoclose": false,
+   "autocomplete": true,
+   "bibliofile": "biblio.bib",
+   "cite_by": "apalike",
+   "current_citInitial": 1,
+   "eqLabelWithNumbers": true,
+   "eqNumInitial": 1,
+   "hotkeys": {
+    "equation": "Ctrl-E",
+    "itemize": "Ctrl-I"
+   },
+   "labels_anchors": false,
+   "latex_user_defs": false,
+   "report_style_numbering": false,
+   "user_envs_cfg": false
   }
  },
  "nbformat": 4,