Training complete

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Bleu
       type: bleu
-      value: 52.88529894542656
+      value: 52.92454808849736
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,7 +34,7 @@ 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: 0.8556
-- Bleu: 52.8853
+- Bleu: 52.9245
 
 ## Model description
 
@@ -67,7 +67,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.31.0
+- Transformers 4.32.0
 - Pytorch 2.0.1+cu118
-- Datasets 2.14.2
+- Datasets 2.14.4
 - Tokenizers 0.13.3

generation_config.json

@@ -11,5 +11,6 @@
   "max_length": 512,
   "num_beams": 4,
   "pad_token_id": 59513,
-  "transformers_version": "4.31.0"
+  "renormalize_logits": true,
+  "transformers_version": "4.32.0"
 }