* `./samples`: audio files and spectrograms generated from the neural net
```
+cd ./main
python 3 main.py -h
```
+
+It will then ask you if you'd like to train or evaluate. To get help for each respectivly, just type:
+
+```
+python 3 main.py train -h
+python 3 main.py eval -h
+```
+
+Argument Reference:
+
+'''
+Arguments:
+ -h, --help help
+ -i MODEL_ID an index you can add to querey the model later
+ -c FROM_CKPT bool, begin training session from a checkpoint
+ -k NEW_DATA bool, make new set of data
+ -d DIM_SIZE size of each audio sample
+ -x NUM_FILES number of files to train
+ -e EPOCHS
+ -b BATCH_SIZE
+ -o CYCLE_LENGTH length of cycle in epochs (only for SGDR)
+ -m MAX_LR max learning rate (only for SGDR)
+ -n MIN_LR min learning rate (only for SGDR)
+```
+