Merge pull request #150 from web-genie-ai/feat/adjust-params

sangar-1028 · web-flow · commit 1efc97500f6e · 2025-03-20T11:30:20.000-03:00
Feat/adjust params
diff --git a/pyproject.toml b/pyproject.toml
@@ -11,7 +11,6 @@ dependencies = [
     "bert-score==0.3.13",
     "bt-decode==0.5.0",
     "bittensor==9.1.0",
-    "bittensor-cli==9.1.0",
     "clip",
     "datasets==3.2.0",
     "ddt==1.6.0",
diff --git a/uv.lock b/uv.lock
diff --git a/webgenie/challenges/challenge.py b/webgenie/challenges/challenge.py
@@ -43,7 +43,7 @@ async def calculate_scores(self) -> dict[str, np.ndarray]:
         scores = await self.task.generator.calculate_scores(self.task, self.solutions)
         accuracy_scores = scores[ACCURACY_METRIC_NAME]
         seo_scores = scores[SEO_METRIC_NAME]
-        aggregated_scores = np.where(accuracy_scores > 0.9, seo_scores, 0)
+        aggregated_scores = np.where(accuracy_scores > 0.85, seo_scores, 0)
         return aggregated_scores, scores
 
 
@@ -54,7 +54,7 @@ async def calculate_scores(self) -> dict[str, np.ndarray]:
         scores = await self.task.generator.calculate_scores(self.task, self.solutions)
         accuracy_scores = scores[ACCURACY_METRIC_NAME]
         quality_scores = scores[QUALITY_METRIC_NAME]
-        aggregated_scores = np.where(accuracy_scores > 0.9, quality_scores, 0)
+        aggregated_scores = np.where(accuracy_scores > 0.85, quality_scores, 0)
         return aggregated_scores, scores
 
 
