Update README.md

README.md

@@ -3,22 +3,24 @@ library_name: transformers
 language:
 - en
 - zh
-base_model: opus-mt-en-zh
+base_model: Helsinki-NLP/opus-mt-en-zh
 tags:
 - generated_from_trainer
 metrics:
 - bleu
+- meteor
 model-index:
-- name: pretrain_en_zh_ai_challenger_output
+- name: opus_mt_en_zh_AIchallenger
   results: []
+pipeline_tag: translation
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# pretrain_en_zh_ai_challenger_output
+# opus_mt_en_zh_AIchallenger
 
-This model is a fine-tuned version of [opus-mt-en-zh](https://huggingface.co/opus-mt-en-zh) on an unknown dataset.
+This model is a fine-tuned version of [opus-mt-en-zh](https://huggingface.co/Helsinki-NLP/opus-mt-zh-en) on the [AIChallenger2017](https://tianchi.aliyun.com/dataset/174937) dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.9379
 - Bleu: 65.1489
@@ -31,11 +33,11 @@ More information needed
 
 ## Intended uses & limitations
 
-More information needed
+This model is used to run the translation model on the client side.
 
 ## Training and evaluation data
 
-More information needed
+Dataset Source: https://tianchi.aliyun.com/dataset/174937
 
 ## Training procedure