From 4e864b7b3315f4fa967706753876bc86f0efa4a0 Mon Sep 17 00:00:00 2001
From: Fuli Luo <luofulily@outlook.com>
Date: Sun, 5 Nov 2023 18:17:08 +0800
Subject: [PATCH] Update README.md

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 ### 1. Introduction of DeepSeek Coder
 
-Deepseek Coder comprises a series of code language models trained on both 87% code and 13% natural language in English and Chinese, with each model pre-trained on 2T tokens. We provide various sizes of the code model, ranging from 1B to 33B versions. Each model is pre-trained on project-level code corpus by employing a window size of 16K and a extra fill-in-the-blank task, to support  project-level code completion and infilling. For coding capabilities, Deepseek Coder achieves state-of-the-art performance among open-source code models on multiple programming languages and various benchmarks.
+Deepseek Coder consists of a series of code language models, each trained from scratch on a dataset of 2 trillion tokens, composed of 87% code and 13% natural language, encompassing both English and Chinese. We provide various sizes of the code model, ranging from 1B to 33B versions. Each model is pre-trained on project-level code corpus by employing a window size of 16K and an extra fill-in-the-blank task, to support project-level code completion and infilling. For coding capabilities, Deepseek Coder achieves state-of-the-art performance among open-source code models on multiple programming languages and various benchmarks.
 
 <p align="center">
 <img src="pictures/result.png" alt="result" width="70%">
 </p>
 
-- **Massive Training Data**: Trained on 2T tokens, including 87% code and 13% linguistic data in both English and Chinese languages.
+- **Massive Training Data**: Trained from scratch on 2T tokens, including 87% code and 13% linguistic data in both English and Chinese languages.
 
 - **Highly Flexible & Scalable**: Offered in model sizes of 1B, 5.7B, 6.7B and 33B, enabling users to choose the setup most suitable for their requirements.