visual score

app.py

@@ -87,10 +87,8 @@ def get_benchmark_df(benchmark="1xA100-80GB"):
     )
 
     # create composite score
-    normalized_score = bench_df["score"] / 100
-    normalized_latency = (
-        bench_df["generate.latency(s)"] / bench_df["generate.latency(s)"].max()
-    )
+    normalized_score = 100 - bench_df["score"]
+    normalized_latency = bench_df["generate.latency(s)"]
     # normalized_memory = (bench_df["forward.peak_memory(MB)"].max()-bench_df["forward.peak_memory(MB)"])/(bench_df["forward.peak_memory(MB)"].max()-bench_df["forward.peak_memory(MB)"].min())
     bench_df["composite_score"] = normalized_score - normalized_latency
 
@@ -103,7 +101,7 @@ def get_benchmark_table(bench_df):
     # rename
     bench_df.rename(columns=COLUMNS_MAPPING, inplace=True)
     # sort
-    bench_df.sort_values(by=SORTING_COLUMN, ascending=False, inplace=True)
+    bench_df.sort_values(by=SORTING_COLUMN, ascending=True, inplace=True)
 
     # transform
     bench_df["Model 🤗"] = bench_df["Model 🤗"].apply(make_clickable_model)