gillyg/lab1_random

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Bleu
       type: bleu
-      value: 10.06581485297685
+      value: 48.87388034665164
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,9 +33,9 @@ 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: 4.2411
-- Model Preparation Time: 0.0031
-- Bleu: 10.0658
+- Loss: 1.0256
+- Model Preparation Time: 0.0116
+- Bleu: 48.8739
 
 ## Model description