python 3 main.py eval -h
```
-Argument Reference:
+Argument Reference | train
-'''
+```
Arguments:
- -h, --help help
+ -h, --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
-n MIN_LR min learning rate (only for SGDR)
```
+Argument Reference | eval
+
+```
+Arguments:
+ -h, --help
+ -i MODEL_ID model ID to use
+ -n NUM_EXAMPLES number of examples/files to run
+ -w WAVFILE_LIST list to pull examples from
+ -r SCALE level of upsampling
+ -s SAMPLE_RATE target sample rate
+ -a MAKE_AUDIO bool, make audio or just spectrograms
+ -c FROM_CKPT bool, begin eval at last checkpoint
+```
+