From 4d72efd6cfe63241f6636783bba09aca81e0a6a6 Mon Sep 17 00:00:00 2001
From: Dirk Groeneveld <dirkg@allenai.org>
Date: Thu, 21 Jan 2021 16:01:18 -0800
Subject: [PATCH] Prepare for release v2.0.0rc1

---
 CHANGELOG.md               | 19 ++++++++-----------
 allennlp_models/version.py |  6 +++---
 2 files changed, 11 insertions(+), 14 deletions(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index ceeb948bb..a93f61999 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -7,12 +7,17 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## Unreleased (2.0 branch)
 
+### Added
+
+- Dataset readers, models, metrics, and training configs for VQAv2, GQA, and Visual Entailment
+
 ### Fixed
 
 - Fixed `training_configs/pair_classification/bimpm.jsonnet` and `training_configs/rc/dialog_qa.jsonnet`
   to work with new data loading API.
-
-## Unreleased (1.x branch)
+- Fixed the potential for a dead-lock when training the `TransformerQA` model on multiple GPUs
+  when nodes receive different sized batches.
+- Fixed BART. This implementation had some major bugs in it that caused poor performance during prediction.
 
 ### Removed
 
@@ -20,18 +25,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ### Changed
 
-- 'master' branch renamed to 'main'
+- `master` branch renamed to `main`
 - `SquadEmAndF1` metric can now also accept a batch of predictions and corresponding answers (instead of a single one)
   in the form of list (for each).
 
-### Fixed
-
-- Fixed the potential for a dead-lock when training the `TransformerQA` model on multiple GPUs
-  when nodes receive different sized batches.
-
-### Fixed
-
-- Fixed BART. This implementation had some major bugs in it that caused poor performance during prediction.
 
 ## [v1.3.0](https://github.com/allenai/allennlp-models/releases/tag/v1.2.2) - 2020-12-15
 
diff --git a/allennlp_models/version.py b/allennlp_models/version.py
index 8a6047153..d76f4712d 100644
--- a/allennlp_models/version.py
+++ b/allennlp_models/version.py
@@ -1,11 +1,11 @@
 import os
 
-_MAJOR = "1"
-_MINOR = "3"
+_MAJOR = "2"
+_MINOR = "0"
 _PATCH = "0"
 # This is mainly for nightly builds which have the suffix ".dev$DATE". See
 # https://semver.org/#is-v123-a-semantic-version for the semantics.
-_SUFFIX = os.environ.get("ALLENNLP_MODELS_VERSION_SUFFIX", "")
+_SUFFIX = os.environ.get("ALLENNLP_MODELS_VERSION_SUFFIX", "rc1")
 
 VERSION_SHORT = "{0}.{1}".format(_MAJOR, _MINOR)
 VERSION = "{0}.{1}.{2}{3}".format(_MAJOR, _MINOR, _PATCH, _SUFFIX)