Update README.md

README.md

@@ -27,8 +27,8 @@ widget:
 - [How to use](#how-to-use)
 - [Limitations and bias](#limitations-and-bias)
 - [Training](#training)
-  - [Training data](#training-data)
   - [Training procedure](#training-procedure)
+  - [Training data](#training-data)
 - [Evaluation](#evaluation)
   - [Evaluation benchmark](#evaluation-benchmark)
   - [Evaluation results](#evaluation-results)
@@ -78,6 +78,16 @@ At the time of submission, no measures have been taken to estimate the bias embe
 
 ## Training
 
+### Training procedure
+
+This model has been trained using a technique known as Knowledge Distillation, which is used to shrink networks to a reasonable size while minimizing the loss in performance.
+
+It basically consists in distilling a large language model (the teacher) into a more lightweight, energy-efficient, and production-friendly model (the student).
+
+So, in a “teacher-student learning” setup, a relatively small student model is trained to mimic the behavior of a larger teacher model.
+
+As a result, the student has lower inference time and the ability to run in commodity hardware.
+
 ### Training data
 
 The training corpus consists of several corpora gathered from web crawling and public corpora, as shown in the table below:
@@ -99,16 +109,6 @@ The training corpus consists of several corpora gathered from web crawling and p
 | Catalan Open Subtitles  | 0.02       |
 | Tweets                  | 0.02       |
 
-### Training procedure
-
-This model has been trained using a technique known as Knowledge Distillation, which is used to shrink networks to a reasonable size while minimizing the loss in performance.
-
-It basically consists in distilling a large language model (the teacher) into a more lightweight, energy-efficient, and production-friendly model (the student).
-
-So, in a “teacher-student learning” setup, a relatively small student model is trained to mimic the behavior of a larger teacher model.
-
-As a result, the student has lower inference time and the ability to run in commodity hardware.
-
 ## Evaluation
 
 ### Evaluation benchmark