Fix bugs

yzhangcs · yzhangcs · commit 80c85332d45d · 2021-04-27T11:12:23.000+08:00
diff --git a/EXAMPLES.md b/EXAMPLES.md
@@ -30,7 +30,7 @@ The option `-c` controls where to load predefined configs, you can either specif
 For CRF models, you need to specify `--proj` to remove non-projective trees.
 Specifying `--mbr` to perform MBR decoding often leads to consistent improvement.
 
-The model finetuned on [`robert-large`](https://huggingface.co/roberta-large) achieves nearly state-of-the-art performance in English dependency parsing.
+The model trained by finetuning [`robert-large`](https://huggingface.co/roberta-large) achieves nearly state-of-the-art performance in English dependency parsing.
 Here we provide some recommended hyper-parameters (not the best, but good enough).
 You are allowed to set values of registered/unregistered parameters in bash to suppress default configs in the file.
 ```sh
@@ -46,7 +46,7 @@ $ python -u -m supar.cmds.biaffine_dep train -b -d 0 -c biaffine-dep-roberta-en
     --epochs=10  \
     --update-steps=4
 ```
-The pretrained multilingual model `biaffine-dep-xlmr` takes [`xlm-roberta-large`](https://huggingface.co/xlm-roberta-large) as backbone architecture and finetunes on it.
+The pretrained multilingual model `biaffine-dep-xlmr` takes [`xlm-roberta-large`](https://huggingface.co/xlm-roberta-large) as backbone architecture and finetunes it.
 The training command is as following:
 ```sh
 $ python -u -m supar.cmds.biaffine_dep train -b -d 0 -c biaffine-dep-xlmr -p model  \
diff --git a/README.md b/README.md
@@ -31,7 +31,7 @@ $ python setup.py install
 ```
 
 As a prerequisite, the following requirements should be satisfied:
-* `python`: >= 3.7
+* `python`: >= 3.6
 * [`pytorch`](https://github.com/pytorch/pytorch): >= 1.7
 * [`transformers`](https://github.com/huggingface/transformers): >= 4.0
 
@@ -45,7 +45,7 @@ All results are tested on the machine with Intel(R) Xeon(R) CPU E5-2650 v4 @ 2.2
 
 English and Chinese dependency parsing models are trained on PTB and CTB7 respectively.
 For each parser, we provide pretrained models that take BiLSTM as encoder.
-We also provide models finetuned on pretrained language models from [Huggingface Transformers](https://github.com/huggingface/transformers).
+We also provide models trained by finetuning pretrained language models from [Huggingface Transformers](https://github.com/huggingface/transformers).
 We use [`robert-large`](https://huggingface.co/roberta-large) for English and [`hfl/chinese-electra-180g-large-discriminator`](https://huggingface.co/hfl/chinese-electra-180g-large-discriminator) for Chinese.
 During evaluation, punctuation is ignored in all metrics for PTB.
 
diff --git a/setup.py b/setup.py
@@ -38,6 +38,6 @@
             'vi-sdp=supar.cmds.vi_sdp:main'
         ]
     },
-    python_requires='>=3.7',
+    python_requires='>=3.6',
     zip_safe=False
 )

Original file line number	Diff line number	Diff line change
`@@ -38,6 +38,6 @@`
`38`	`38`	`'vi-sdp=supar.cmds.vi_sdp:main'`
`39`	`39`	`]`
`40`	`40`	`},`
`41`		`- python_requires='>=3.7',`
	`41`	`+ python_requires='>=3.6',`
`42`	`42`	`zip_safe=False`
`43`	`43`	`)`