clean code in tuning script

deep_speech_2/tools/tune.py

@@ -140,13 +140,11 @@ def tune():
             for target, result in zip(target_transcripts, result_transcripts):
                 err_sum[index] += error_rate_func(target, result)
             err_ave[index] = err_sum[index] / num_ins
-            # print("alpha = %f, beta = %f, WER = %f" %
-            #      (alpha, beta, err_ave[index]))
             if index % 2 == 0:
                 sys.stdout.write('.')
                 sys.stdout.flush()
 
-        # output on-line tuning result at the the end of current batch
+        # output on-line tuning result at the end of current batch
         err_ave_min = min(err_ave)
         min_index = err_ave.index(err_ave_min)
         print("\nBatch %d [%d/?], current opt (alpha, beta) = (%s, %s), "
@@ -156,7 +154,7 @@ def tune():
               args.error_rate_type, err_ave_min))
         cur_batch += 1
 
-    # output WER/CER at every point
+    # output WER/CER at every (alpha, beta)
     print("\nFinal %s:\n" % args.error_rate_type)
     for index in xrange(len(params_grid)):
         print("(alpha, beta) = (%s, %s), [%s] = %f"