Specify number of parameters

Specifying the number of parameters is useful for tech nerds (like me) that want to quickly be able to tell how good a model can be and what the approximate requirements for running it are.
This PR specifies the number of parameters the model has within the introduction.

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README.md +1 -1

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@@ -9,7 +9,7 @@ license: mit
 DialoGPT is a SOTA large-scale pretrained dialogue response generation model for multiturn conversations.
 The [human evaluation results](https://github.com/dreasysnail/Dialogpt_dev#human-evaluation) indicate that the response generated from DialoGPT is comparable to human response quality under a single-turn conversation Turing test.
-The model is trained on 147M multi-turn dialogue from Reddit discussion thread.
 * Multi-turn generation examples from an interactive environment:

 DialoGPT is a SOTA large-scale pretrained dialogue response generation model for multiturn conversations.
 The [human evaluation results](https://github.com/dreasysnail/Dialogpt_dev#human-evaluation) indicate that the response generated from DialoGPT is comparable to human response quality under a single-turn conversation Turing test.
+The model is trained on 147M multi-turn dialogue from Reddit discussion thread, having 354M parameters (354,823,168).
 * Multi-turn generation examples from an interactive environment: