rm unsused code

ppstructure/vqa/README.md

@@ -182,16 +182,6 @@ python3 eval_ser.py \
 ```
 最终会打印出`precision`, `recall`, `f1`等指标
 
-
-```shell
-export CUDA_VISIBLE_DEVICES=0
-python3.7 infer_ser.py \
-    --model_name_or_path "./PP-Layout_v1.0_ser_pretrained/" \
-    --output_dir "output_res/" \
-    --infer_imgs "XFUND/zh_val/image/" \
-    --ocr_json_path "XFUND/zh_val/xfun_normalize_val.json"
-```
-
 * 使用评估集合中提供的OCR识别结果进行预测
 
 ```shell
@@ -237,7 +227,7 @@ python3 train_re.py \
     --eval_data_dir "XFUND/zh_val/image" \
     --eval_label_path "XFUND/zh_val/xfun_normalize_val.json" \
     --label_map_path 'labels/labels_ser.txt' \
-    --num_train_epochs 2 \
+    --num_train_epochs 200 \
     --eval_steps 10 \
     --output_dir "output/re/"  \
     --learning_rate 5e-5 \

ppstructure/vqa/train_ser.py

@@ -139,7 +139,7 @@ def train(args):
 
     global_step = 0
     tr_loss = 0.0
-    set_seed(ags.seed)
+    set_seed(args.seed)
     best_metrics = None
 
     train_reader_cost = 0.0