Version 1.0.0

Author: AndriyMulyar

Diff for: examples/README.md

@@ -4,6 +4,6 @@ https://portal.dbmi.hms.harvard.edu/data-challenges/
 
 For training, simply alter the config.ini present in /examples file for your purposes. Relevant variables are:
 
-model_storage_directory: directory to store logging information, tensorboard checkpoints, model checkpoints
-bert_model_path: the file path to a pretrained bert mode. can be the pytorch-transformers alias.
-labels: an ordered list of labels you are training against. this should match the order given in a .fit() instance.
+- model_storage_directory: directory to store logging information, tensorboard checkpoints, model checkpoints
+- bert_model_path: the file path to a pretrained bert mode. can be the pytorch-transformers alias.
+- labels: an ordered list of labels you are training against. this should match the order given in a .fit() instance.

Diff for: examples/training.py

@@ -6,7 +6,9 @@
 For training, simply alter the config.ini present in /examples file for your purposes. Relevant variables are:
 
 model_storage_directory: directory to store logging information, tensorboard checkpoints, model checkpoints
+
 bert_model_path: the file path to a pretrained bert mode. can be the pytorch-transformers alias.
+
 labels: an ordered list of labels you are training against. this should match the order given in a .fit() instance.