Fix readme

Author: Shawn1993

README.md

@@ -84,7 +84,7 @@ Evaluation - loss: 0.672396  acc: 57.6923%(615/1066)
 If you has construct you test set, you make testing like:
 
 ```
-/main.py -test -snapshot="./snapshot/2017-02-11-15-50/snapshot_steps1500.pt
+/main.py -test -snapshot="./snapshot/2017-02-11_15-50-53/snapshot_steps1500.pt
 ```
 The snapshot option means where your model load from. If you don't assign it, the model will start from scratch.
 
@@ -93,12 +93,12 @@ The snapshot option means where your model load from. If you don't assign it, th
 
 	```
 	./main.py -predict="Hello my dear , I love you so much ." \
-	          -snapshot="./snapshot/2017-02-11-15-50/snapshot_steps1500.pt" 
+	          -snapshot="./snapshot/2017-02-11_15-50-53/snapshot_steps1500.pt" 
 	```
 	You will get:
 
 	```
-	Loading model from [./snapshot/2017-02-11-15-50/snapshot_steps1500.pt]...
+	Loading model from [./snapshot/2017-02-11_15-50-53/snapshot_steps1500.pt]...
 
 	[Text]  Hello my dear , I love you so much .
 	[Label] positive
@@ -107,18 +107,18 @@ The snapshot option means where your model load from. If you don't assign it, th
 
 	```
 	./main.py -predict="You just make me so sad and I have to leave you ."\
-	          -snapshot="./snapshot/2017-02-11-15-50/snapshot_steps1500.pt" 
+	          -snapshot="./snapshot/2017-02-11_15-50-53/snapshot_steps1500.pt" 
 	```
 	You will get:
 
 	```
-	Loading model from [./snapshot/2017-02-11-15-50/snapshot_steps1500.pt]...
+	Loading model from [./snapshot/2017-02-11_15-50-53/snapshot_steps1500.pt]...
 
 	[Text]  You just make me so sad and I have to leave you .
 	[Label] negative
 	```
 
-Your text must be separated by space, even punctuation.
+Your text must be separated by space, even punctuation.And, your text should longer then the max kernel size.
 
 ## Reference
 * [Convolutional Neural Networks for Sentence Classification](https://arxiv.org/abs/1408.5882)

main.py

@@ -18,7 +18,7 @@
 parser.add_argument('-log-interval',  type=int, default=1,   help='how many steps to wait before logging training status [default: 1]')
 parser.add_argument('-test-interval', type=int, default=100, help='how many steps to wait before testing [default: 100]')
 parser.add_argument('-save-interval', type=int, default=500, help='how many steps to wait before saving [default:500]')
-parser.add_argument('-save-dir', type=str, default='snapshot', help='where to save the checkpoint')
+parser.add_argument('-save-dir', type=str, default='snapshot', help='where to save the snapshot')
 # data 
 parser.add_argument('-shuffle', action='store_true', default=False, help='shuffle the data every epoch' )
 # model
@@ -68,16 +68,16 @@ def mr(text_field, label_field, **kargs):
 print("\nLoading data...")
 text_field = data.Field(lower=True)
 label_field = data.Field(sequential=False)
-#train_iter, dev_iter = mr(text_field, label_field, device=-1, repeat=False)
-train_iter, dev_iter, test_iter = sst(text_field, label_field, device=-1, repeat=False)
+train_iter, dev_iter = mr(text_field, label_field, device=-1, repeat=False)
+#train_iter, dev_iter, test_iter = sst(text_field, label_field, device=-1, repeat=False)
 
 
 # update args and print
 args.embed_num = len(text_field.vocab)
 args.class_num = len(label_field.vocab) - 1
 args.cuda = args.no_cuda and torch.cuda.is_available(); del args.no_cuda
 args.kernel_sizes = [int(k) for k in args.kernel_sizes.split(',')]
-args.save_dir = os.path.join(args.save_dir, datetime.datetime.now().strftime('%Y-%m-%d-%H-%M'))
+args.save_dir = os.path.join(args.save_dir, datetime.datetime.now().strftime('%Y-%m-%d_%H-%M-%S'))
 
 print("\nParameters:")
 for attr, value in sorted(args.__dict__.items()):