your_model_path

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Bleu
       type: bleu
-      value: 52.88398487672078
+      value: 13.36041948912007
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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: 0.8556
-- Bleu: 52.8840
+- Loss: 3.4873
+- Bleu: 13.3604
 
 ## Model description
 
@@ -70,4 +70,4 @@ The following hyperparameters were used during training:
 - Transformers 4.35.2
 - Pytorch 2.1.0+cu121
 - Datasets 2.17.0
-- Tokenizers 0.15.1
+- Tokenizers 0.15.2

generation_config.json

@@ -11,6 +11,5 @@
   "max_length": 512,
   "num_beams": 4,
   "pad_token_id": 59513,
-  "renormalize_logits": true,
   "transformers_version": "4.35.2"
 }