Update README.md

README.md

@@ -69,12 +69,14 @@ It achieves the following results on the evaluation set:
 - Accuracy: 0.5715
 - F1 Binary Minimum3: 0.6938
 
-While the macro F1 scores across the 1-5 rating scale are relatively low due to the model's difficulty in distinguishing between higher-rated samples, the classifier performs well for our primary filtering task. When converting to binary classification, using a threshold of 2 achieves the F1 scores ranges between 0.8 and 0.9 for most Stack-Edu  classifiers, whereas a threshold of 3 yields F1 scores between 0.55 and 0.70. With the Highest being Python, C, Rust and the lowest being TypeScript and PHP.
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+While the macro F1 scores across the 1-5 rating scale are relatively low due to the model's difficulty in distinguishing between higher-rated samples, the classifier performs well for our primary filtering task. When converting to binary classification, using a threshold of 2 achieves the F1 scores ranges between 0.8 and 0.9 for most Stack-Edu  classifiers, whereas a threshold of 3 yields F1 scores between 0.5 and 0.8. With the Highest being Python, SQL, C, Rust and the lowest being TypeScript and PHP.
 
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+  <img src="https://cdn-uploads.huggingface.co/production/uploads/61c141342aac764ce1654e43/VYh1deFc8Jif7B4kDpndc.png" width="600">
+  <img src="https://cdn-uploads.huggingface.co/production/uploads/61c141342aac764ce1654e43/I_O96PgYAZ9pj27lM4B9a.png" width="600">
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 We validated these classifiers by filtering Stack v2 data and testing on an intermediate SmolLM2 checkpoint. Filtering with a threshold of 3 improved performance across most languages while maintaining adequate data volume, though Java showed better results with a threshold of 2.
 
 ### Training hyperparameters