filepath fixes

README.md

@@ -10,7 +10,7 @@ The framework is still largely a work in progress. I'd like to add more examples
 To train an LSTM language model on the Mikolov data with the specified hyperparameters in `lm.py`, first specify the framework directory and run the example script with:
 
     export SEQ2SEQROOT=/directory/of/repository
-    bash runs/example/lm_ptb_train.py
+    bash runs/examples/lm_ptb_train.py
 
 The hyperparmeters specify a very large language model (512 input dim, 1024 hidden dim, 3 layer LSTM)! I trained using a Titan X (12GB), and tuned the memory accordingly. With it, training was possible at 383s per epoch, and after epoch 31 the validation shows:
 
@@ -21,9 +21,9 @@ The hyperparmeters specify a very large language model (512 input dim, 1024 hidd
     Done. Validation loss: 338222.015259. Average Token loss: 4.585439. Perplexity: 98.046266.
     Monitored quantity improved.
 
-The validation results and checkpointed models should be saved in `runs/example/` (specified in the script). Test the checkpointed model with:
+The validation results and checkpointed models should be saved in `runs/examples/` (specified in the script). Test the checkpointed model with:
 
-    bash runs/example/lm_ptb_test.sh
+    bash runs/examples/lm_ptb_test.sh
 
 I was able to achieve these results on the test set:
 
@@ -42,7 +42,7 @@ In this example, we will use the silver parse trees in `data/parse/` generated f
 
 To train a seq2seq parser with the specified hyperparameters in `seq2seq.py`, run:
 
-    bash runs/example/seq2seq_ptb_train.sh
+    bash runs/examples/seq2seq_ptb_train.sh
 
 The hyperparmeters specify a very large seq2seq model (512 input dim, 512 hidden dim, 2 layer encoder/decoder)! I trained using a Titan X (12GB), and tuned the memory accordingly. With it, training was possible at 349s per epoch, and after epoch 45 the validation shows:
 

runs/examples/lm/lm_ptb_test.sh

@@ -1,5 +1,5 @@
 python $SEQ2SEQROOT/test.py \
-    --run runs/example/ \
+    --run runs/examples/ \
     --model LSTMLanguageModel \
     --populate lm.model \
     --test data/lm/test \

runs/examples/lm/lm_ptb_train.sh

@@ -1,5 +1,5 @@
 python $SEQ2SEQROOT/main.py \
-    --run runs/example/ \
+    --run runs/examples/ \
     --model LSTMLanguageModel \
     --train data/lm/train \
     --dev data/lm/valid \

runs/examples/seq2seq/seq2seq_ptb_test.sh

@@ -1,5 +1,5 @@
 python $SEQ2SEQROOT/test.py \
-    --run runs/example/ \
+    --run runs/examples/ \
     --model LSTMLanguageModel \
     --populate lm.model \
     --test data/lm/test \