Evaluate multiple models

eval.py

@@ -1,6 +1,3 @@
-import os
-import json
-
 from mteb import MTEB
 from mteb.abstasks.AbsTaskRetrieval import AbsTaskRetrieval
 from sentence_transformers import SentenceTransformer
@@ -57,14 +54,14 @@ class ApostolicFathersQARetrieval(AbsTaskRetrieval):
         self.data_loaded = True
 
 
-model = SentenceTransformer("all-MiniLM-L6-v2")
-
 evaluation = MTEB(tasks=[ApostolicFathersQARetrieval()])
-evaluation.run(model)[0]
 
-# Resuts are written to `results` dir
-for directory, _, files in os.walk("results"):
-    for f in files:
-        if f == "ApostolicFathersQARetrieval.json":
-            results = json.load(open(f"{directory}/{f}"))
-            print(results["scores"]["train"][0]["ndcg_at_10"])
+models = [
+    "paraphrase-albert-small-v2",
+    "all-MiniLM-L6-v2",
+]
+
+for model in models:
+    result = evaluation.run(SentenceTransformer(model))
+    ndcg_at_10 = result[0].scores['train'][0]['ndcg_at_10']
+    print(f"{model=} {ndcg_at_10=}")