Update verifact_data.csv

verifact_data.csv

@@ -1,25 +1,25 @@
-tier,model,f1,precision,recall
-Overall,GPT4o,67.41,80.59,57.93
-FactBench,GPT4o,80.93,85.11,77.13
-Reddit,GPT4o,42.76,74.04,30.06
-Overall,Claude 3.5-Sonnet,63.65,78.37,53.58
-FactBench,Claude 3.5-Sonnet,75.68,83.28,69.35
-Reddit,Claude 3.5-Sonnet,42.90,71.25,30.69
-Overall,Gemini 1.5-Flash,64.10,80.72,53.16
-FactBench,Gemini 1.5-Flash,77.38,85.45,70.71
-Reddit,Gemini 1.5-Flash,40.26,73.87,27.67
-Overall,Llama3.1-8b,48.62,60.91,40.46
-FactBench,Llama3.1-8b,60.71,68.87,54.28
-Reddit,Llama3.1-8b,28.86,49.36,20.39
-Overall,Llama3.1-70b,55.12,68.09,46.30
-FactBench,Llama3.1-70b,65.83,76.05,58.00
-Reddit,Llama3.1-70b,38.61,56.54,29.31
-Overall,Llama3.1-405B,60.61,72.80,51.92
-FactBench,Llama3.1-405B,73.23,78.80,68.40
-Reddit,Llama3.1-405B,38.98,64.10,28.00
-Overall,Qwen2.5-8b,55.78,72.45,45.34
-FactBench,Qwen2.5-8b,69.23,77.18,58.66
-Reddit,Qwen2.5-8b,37.25,65.58,26.01
-Overall,Qwen2.5-32b,60.00,77.79,47.52
-FactBench,Qwen2.5-32b,71.31,82.74,62.77
-Reddit,Qwen2.5-32b,37.34,70.60,25.38
+tier,model,FactBench,Reddit,Overall
+F1,GPT4o,80.93,42.76,67.41
+F1,Claude 3.5-Sonnet,75.68,42.90,63.65
+F1,Gemini 1.5-Flash,77.38,40.26,64.10
+F1,Llama3.1-8b,60.71,28.86,48.62
+F1,Llama3.1-70b,65.83,38.61,55.12
+F1,Llama3.1-405B,73.23,38.98,60.61
+F1,Qwen2.5-8b,69.23,37.25,55.78
+F1,Qwen2.5-32b,71.31,37.34,60.00
+Recall,GPT4o,77.13,30.06,57.93
+Recall,Claude 3.5-Sonnet,69.35,30.69,53.58
+Recall,Gemini 1.5-Flash,70.71,27.67,53.16
+Recall,Llama3.1-8b,54.28,20.39,40.46
+Recall,Llama3.1-70b,58.00,29.31,46.30
+Recall,Llama3.1-405B,68.40,28.00,51.92
+Recall,Qwen2.5-8b,58.66,26.01,45.34
+Recall,Qwen2.5-32b,62.77,25.38,47.52
+Precision,GPT4o,85.11,74.04,80.59
+Precision,Claude 3.5-Sonnet,83.28,71.25,78.37
+Precision,Gemini 1.5-Flash,85.45,73.87,80.72
+Precision,Llama3.1-8b,68.87,49.36,60.91
+Precision,Llama3.1-70b,76.05,56.54,68.09
+Precision,Llama3.1-405B,78.80,64.10,72.80
+Precision,Qwen2.5-8b,77.18,65.58,72.45
+Precision,Qwen2.5-32b,82.74,70.60,77.79