End of training

README.md

@@ -17,12 +17,12 @@ model-index:
       name: wmt19
       type: wmt19
       config: zh-en
-      split: train[:1000000]
+      split: train
       args: zh-en
     metrics:
     - name: Bleu
       type: bleu
-      value: 11.8568
+      value: 22.4693
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,9 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 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
+- Loss: 1.6765
+- Bleu: 22.4693
+- Gen Len: 19.699
 
 ## Model description
 
@@ -64,9 +64,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
-|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
-| 1.7623        | 1.0   | 50000 | 1.6687          | 11.8568 | 12.0341 |
+| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| 1.7238        | 1.0   | 6250 | 1.6765          | 22.4693 | 19.699  |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 309965092

runs/Mar31_12-02-28_e31193056b67/events.out.tfevents.1711887185.e31193056b67.6111.0

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