Add evaluation results on the ro-en config of wmt16

Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the ro-en config of the [wmt16](https://huggingface.co./datasets/wmt16) dataset by

@Lvxue

, using the predictions stored [here](https://huggingface.co./datasets/autoevaluate/autoeval-staging-eval-project-wmt16-d9e39a12-12565676).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co./spaces/autoevaluate/leaderboards?dataset=wmt16).\
Evaluate your model on more datasets [here](https://huggingface.co./spaces/autoevaluate/model-evaluator?dataset=wmt16).

README.md

@@ -1,17 +1,41 @@
 ---
 language:
-- en  # Example: fr
-- ro  # Example: en
-license: apache-2.0  # Example: apache-2.0 or any license from https://hf.co/docs/hub/repositories-licenses
+- en
+- ro
+license: apache-2.0
 tags:
 - translation
 - wmt16
 - Lvxue
 datasets:
-- wmt16  # Example: common_voice. Use dataset id from https://hf.co/datasets
+- wmt16
 metrics:
 - sacrebleu
-- bleu  # Example: wer. Use metric id from https://hf.co/metrics
+- bleu
+model-index:
+- name: Lvxue/finetuned-mt5-small-10epoch
+  results:
+  - task:
+      type: translation
+      name: Translation
+    dataset:
+      name: wmt16
+      type: wmt16
+      config: ro-en
+      split: test
+    metrics:
+    - name: BLEU
+      type: bleu
+      value: 6.0012
+      verified: true
+    - name: loss
+      type: loss
+      value: 1.7407585382461548
+      verified: true
+    - name: gen_len
+      type: gen_len
+      value: 18.2281
+      verified: true
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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