Update README.md

README.md

@@ -29,7 +29,7 @@ for text in the 6 most popular Romance languages:
 
 Together, these languages cover approximately 97% of native speakers of the Romance language family.
 
-This model predicts the following punctuation tokens:
+This model predicts the following punctuation per input subtoken:
 
 * .
 * ,
@@ -44,6 +44,12 @@ The model is released as a `SentencePiece` tokenizer and an `ONNX` graph.
 
 The easy way to run inference is to use the `punctuators` package:
 
+# Training Data
+For all languages except Catalan, this model was trained with ~10M lines of text per language from StatMT's [News Crawl](https://data.statmt.org/news-crawl/).
+
+Catalan is not included in StatMT's News Crawl. 
+For completeness of the Romance language family, ~500k lines of `OpenSubtitles` was used for Catalan.
+
 # Training Parameters
 This model was trained by concatenating between 1 and 14 random sentences. 
 The concatenation points became sentence boundary targets, 
@@ -60,10 +66,4 @@ This is accomplished behind the scenes by splitting the input into overlapping s
 
 If you use the raw ONNX graph, note that while the model will accept sequences up to 512 tokens, only 256 positional embeddings have been trained.
 
-# Training Data
-For all languages except Catalan, this model was trained with ~10M lines of text per language from StatMT's [News Crawl](https://data.statmt.org/news-crawl/).
-
-Catalan is not included in StatMT's News Crawl. 
-For completeness of the Romance language family, ~500k lines of `OpenSubtitles` was used for Catalan.
-
 # Metrics