From 82f52ebccf59f8581259b9fb8cb2a0a8f77b42dd Mon Sep 17 00:00:00 2001
From: Senthil Vikram Vodapalli
 <47270916+SenthilVikram@users.noreply.github.com>
Date: Thu, 1 Apr 2021 19:57:58 +0530
Subject: [PATCH 1/2] case mistake

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index dde7e3b8..a6028fb4 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
 # PEGASUS library
 
-Pre-training with Extracted Gap-sentences for Abstractive SUmmarization
+Pre-training with Extracted Gap-sentences for Abstractive Summarization
 Sequence-to-sequence models, or PEGASUS, uses self-supervised objective Gap
 Sentences Generation (GSG) to train a transformer encoder-decoder model. The
 paper can be found on [arXiv](https://arxiv.org/abs/1912.08777). ICML 2020 accepted.

From d0e234b9d2471d983036a6df0b928bcef357e120 Mon Sep 17 00:00:00 2001
From: Senthil Vikram Vodapalli
 <47270916+SenthilVikram@users.noreply.github.com>
Date: Fri, 2 Apr 2021 23:11:53 +0530
Subject: [PATCH 2/2] Update README.md

mode_dir to model.dir
---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index a6028fb4..e8563e14 100644
--- a/README.md
+++ b/README.md
@@ -144,7 +144,7 @@ def my_param(param_overrides):
 
 ## Evaluation metrics.
 
-Evaluation results can be found in `mode_dir`. Summarization metrics are automatically
+Evaluation results can be found in `model_dir`. Summarization metrics are automatically
 calculated for each evaluation point.
 
 -   [ROUGE](https://www.aclweb.org/anthology/W04-1013.pdf) is the main metric