update model card README.md

README.md

@@ -16,11 +16,13 @@ model-index:
     dataset:
       name: kde4
       type: kde4
+      config: en-fr
+      split: train
       args: en-fr
     metrics:
     - name: Bleu
       type: bleu
-      value: 52.83242564204547
+      value: 52.83113187001415
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr) on the kde4 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.8560
-- Bleu: 52.8324
+- Bleu: 52.8311
 
 ## Model description
 
@@ -65,7 +67,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.19.4
-- Pytorch 1.11.0+cu113
-- Datasets 2.3.0
+- Transformers 4.21.0
+- Pytorch 1.12.0+cu113
+- Datasets 2.4.0
 - Tokenizers 0.12.1