update run_squad with tqdm

run_squad_pytorch.py

@@ -18,19 +18,20 @@ from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function
 
+import six
+import argparse
 import collections
 import logging
 import json
 import math
 import os
-import tokenization_pytorch
-import six
-import argparse
+from tqdm import tqdm, trange
 
 import torch
 from torch.utils.data import TensorDataset, DataLoader, RandomSampler, SequentialSampler
 from torch.utils.data.distributed import DistributedSampler
 
+import tokenization_pytorch
 from modeling_pytorch import BertConfig, BertForQuestionAnswering
 from optimization_pytorch import BERTAdam
 
@@ -841,9 +842,9 @@ def main():
 
         logger.info("HHHHH Starting Traing")
         model.train()
-        for epoch in range(int(args.num_train_epochs)):
-            #for input_ids, input_mask, segment_ids, label_ids in train_dataloader:
-            for input_ids, input_mask, segment_ids, start_positions, end_positions in train_dataloader:
+        for epoch in trange(int(args.num_train_epochs), desc="Epoch"):
+            for input_ids, input_mask, segment_ids, start_positions, end_positions in tqdm(train_dataloader,
+                                                                                           desc="Iteration"):
                 input_ids = input_ids.to(device)
                 input_mask = input_mask.float().to(device)
                 segment_ids = segment_ids.to(device)