Update README.md

README.md

@@ -110,7 +110,11 @@ The model was trained on the text of this dataset: [https://huggingface.co/datas
 **Properties:** The model was trained on the text of the fineweb-edu-llama3-annotations dataset, but with annotations coming from Nemotron-4-340B-Instruct instead of the provided annotations from Llama 3.1 70B. The dataset is a randomly sampled 467k document subset of the FineWeb dataset, which contains filtered documents crawled from the web. Please see https://arxiv.org/abs/2406.17557 for more details. <br>
 
 ### Evaluation Results
-The models were shown to be useful in classifying high-quality content for LLM pretraining as part of an ensemble in the [Nemotron-CC](https://arxiv.org/abs/2412.02595) paper. See Table 9.
+The models were shown to be useful in classifying high-quality content for LLM pretraining as part of an ensemble in the [Nemotron-CC](https://arxiv.org/abs/2412.02595) paper. See Table 9 from the paper below.
+
+<img src="https://huggingface.co/nvidia/nemocurator-fineweb-mixtral-edu-classifier/resolve/main/table_9.PNG" alt="image" style="width:750px;">
+
+In the table above, "Ours-mistral" refers to the NemoCurator FineWeb Mixtral Edu Classifier, and "Ours-nemotron-340B" refers to the NemoCurator FineWeb Nemotron-4 Edu Classifier (this model). "Ours-ensembled" incudes the NemoCurator FineWeb Mixtral Edu Classifier, NemoCurator FineWeb Nemotron-4 Edu Classifier, and DCLM.
 
 ## Inference
 - Engine: Python 3.10 and PyTorch