Update README.md

README.md

@@ -134,6 +134,41 @@ answer = tokenizer.decode(tokenizer.convert_tokens_to_ids(answer_tokens))
 # 'London'
 ```
 
+## Metrics
+
+```bash
+# Squad v2
+{
+    "eval_HasAns_exact": 84.83468286099865,
+    "eval_HasAns_f1": 90.48374860633226,
+    "eval_HasAns_total": 5928,
+    "eval_NoAns_exact": 91.0681244743482,
+    "eval_NoAns_f1": 91.0681244743482,
+    "eval_NoAns_total": 5945,
+    "eval_best_exact": 87.95586625115808,
+    "eval_best_exact_thresh": 0.0,
+    "eval_best_f1": 90.77635490089573,
+    "eval_best_f1_thresh": 0.0,
+    "eval_exact": 87.95586625115808,
+    "eval_f1": 90.77635490089592,
+    "eval_runtime": 623.1333,
+    "eval_samples": 11951,
+    "eval_samples_per_second": 19.179,
+    "eval_steps_per_second": 0.799,
+    "eval_total": 11873
+}
+
+# Squad
+{
+    "eval_exact_match": 89.29044465468307,
+    "eval_f1": 94.9846365606959,
+    "eval_runtime": 553.7132,
+    "eval_samples": 10618,
+    "eval_samples_per_second": 19.176,
+    "eval_steps_per_second": 0.8
+}
+```
+
 ### Using with Peft
 **NOTE**: This requires code in the PR https://github.com/huggingface/peft/pull/473 for the PEFT library.
 ```python