Training complete

README.md

@@ -5,11 +5,26 @@ base_model: Helsinki-NLP/opus-mt-en-fr
 tags:
 - translation
 - generated_from_trainer
+datasets:
+- kde4
 metrics:
 - bleu
 model-index:
 - name: marian-finetuned-kde4-en-to-fr
-  results: []
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: kde4
+      type: kde4
+      config: en-fr
+      split: train
+      args: en-fr
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 52.918210275652555
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,11 +32,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # marian-finetuned-kde4-en-to-fr
 
-This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr) on an unknown dataset.
+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: 0.8201
-- Model Preparation Time: 0.0287
-- Bleu: 54.3141
+- Loss: 0.8553
+- Model Preparation Time: 0.0048
+- Bleu: 52.9182
 
 ## Model description
 
@@ -55,6 +70,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.46.2
-- Pytorch 2.5.1+cu121
+- Transformers 4.46.3
+- Pytorch 2.1.0+cu118
+- Datasets 3.1.0
 - Tokenizers 0.20.3

generation_config.json

@@ -12,5 +12,5 @@
   "num_beams": 4,
   "pad_token_id": 59513,
   "renormalize_logits": true,
-  "transformers_version": "4.46.2"
+  "transformers_version": "4.46.3"
 }