From f5306b406426530e4df2c250a6b5598b80ba621c Mon Sep 17 00:00:00 2001
From: Piotr Czapla <github@piotrczapla.com>
Date: Sat, 20 Apr 2019 14:34:26 +0200
Subject: [PATCH] Add a few examples of commands avaliable in
 ulmfit-multilingual

---
 README.md          | 15 ++++++++++++++-
 prepare_poleval.py |  2 ++
 2 files changed, 16 insertions(+), 1 deletion(-)
 create mode 100644 prepare_poleval.py

diff --git a/README.md b/README.md
index c29e00f..bd205d4 100644
--- a/README.md
+++ b/README.md
@@ -15,8 +15,21 @@ Model name: data/wiki/en-100/models/f60k/lstm_orig.m
 $ python -m ulmfit cls --dataset-path data/imdb --base-lm-path  data/wiki/${LANG}-100/models/f60k/lstm_orig.m  \
         --lang=${LANG} --name orig - train 20 --bs 18 --num-cls-epochs=4 --lr_sched=1cycle --label-smoothing-eps=0.1   
 ```
- 
 
+You can re-evaluate classifiers by running
+```
+python -m ulmfit eval --glob="imdb/models/*/lstm_*.m"
+```
+
+The same command can be used to quickly trian multiple classifiers, by adding the `--name` parameter:
+```
+python -m ulmfit eval --glob="imdb/models/*/lstm_nl3.m" --name "nl3-my-test1" --num-cls-epochs 4 --label-smoothing-eps=0.1 --lr_sched=1cycle
+``` 
+
+To create a tar with model simply run 
+```
+python -m ulmfit tar data/imdb/models/f60k/lstm_nl3.m
+```
 
 ## data directory strucutre
 
diff --git a/prepare_poleval.py b/prepare_poleval.py
new file mode 100644
index 0000000..6706e59
--- /dev/null
+++ b/prepare_poleval.py
@@ -0,0 +1,2 @@
+
+# https://storage.googleapis.com/reddit_comments_polish/comments.csv.gz