End of training

README.md

@@ -5,9 +5,24 @@ tags:
 - generated_from_trainer
 datasets:
 - wmt19
+metrics:
+- bleu
 model-index:
 - name: opus-mt-en-zh-finetuned-en-to-zh
-  results: []
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: wmt19
+      type: wmt19
+      config: zh-en
+      split: train[:1000000]
+      args: zh-en
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 11.8568
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +31,10 @@ should probably proofread and complete it, then remove this comment. -->
 # opus-mt-en-zh-finetuned-en-to-zh
 
 This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-zh](https://huggingface.co/Helsinki-NLP/opus-mt-en-zh) on the wmt19 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6687
+- Bleu: 11.8568
+- Gen Len: 12.0341
 
 ## Model description
 
@@ -45,9 +64,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
-| No log        | 1.0   | 50   | 1.9566          | 8.7116 | 23.18   |
+| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
+| 1.7623        | 1.0   | 50000 | 1.6687          | 11.8568 | 12.0341 |
 
 
 ### Framework versions

runs/Mar29_03-30-55_7362099992b3/events.out.tfevents.1711683069.7362099992b3.4343.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fde0e11c44f7f37de0f1ee3e88c7143ba2b75040ec4fbd516f223e2acf0a2a43
-size 26988
+oid sha256:df338fc98ded5e5561f80af5a28471684477f3e396798d2238fb2d186577becd
+size 27725