From 72a2f44159e304f310cb678ab3770c6711c39c5e Mon Sep 17 00:00:00 2001
From: Allen Zhang <39747919+zhvng@users.noreply.github.com>
Date: Sun, 26 Mar 2023 02:39:36 -0400
Subject: [PATCH] update readme to reflect new preprocessing

---
 README.md | 2 --
 1 file changed, 2 deletions(-)

diff --git a/README.md b/README.md
index 7a2e62f..8e0ce27 100644
--- a/README.md
+++ b/README.md
@@ -94,13 +94,11 @@ To do this, fill in the `data_preprocessor_cfg` field in the config and set `use
 
 ```shell
 python ./scripts/preprocess_data.py \
-    --stage all # stage(s) we want to preprocess for: all | semantic | coarse | fine
     --model_config ./configs/model/musiclm_small.json \
     --training_config ./configs/training/train_fma_preprocess.json \
     --rvq_path PATH_TO_RVQ_CHECKPOINT \ # path to previously trained rvq
     --kmeans_path PATH_TO_KMEANS_CHECKPOINT # path to previously trained kmeans
 ```
-Note: make sure to process enough data for the number of training steps you're planning to run. Once the trainer runs out of data it cycles back to the beginning, but there is no random cropping in this case so the samples will be repeated.
 
 ## Inference
 Generate multiple samples and use CLAP to select the best ones: