Update README.md

README.md

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 [LogPrecis](https://arxiv.org/abs/2307.08309) is a [Codebert](microsoft/codebert-base) model fine-tuned for **Token Classification**. 
 
-The model was previously domain-adapted using a corpus of **>20k Unix sessions**.
+The model was previously domain-adapted using a corpus of **>20k Unix sessions**. Later, it was further finetuned on the task of **Token Classification** with **360 labelled examples**.
+
 
 Specifically, LogPrecis is designed for the analysis of **malicious Unix logs**. Given as input a Unix session:
 
@@ -20,7 +21,7 @@ LogPrecis outputs the sequence of [Mitre Tactics](https://attack.mitre.org/tacti
 
 `Impact x 3 -- Execution x 10`
 
-LogPrecis achieved a **91.2% accuracy** on the test set. Its training code and data are available on SmartData's [GitHub](https://github.com/SmartData-Polito/logprecis). 
+LogPrecis achieved a **91.2% accuracy** on the test set. Its training code, data and training details are available on SmartData's [GitHub](https://github.com/SmartData-Polito/logprecis). 
 
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 metrics: