Training complete

README.md

@@ -6,9 +6,24 @@ tags:
 - 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: 52.88398487672078
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,6 +32,9 @@ 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 the kde4 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8556
+- Bleu: 52.8840
 
 ## Model description
 
@@ -44,6 +62,10 @@ The following hyperparameters were used during training:
 - num_epochs: 3
 - mixed_precision_training: Native AMP
 
+### Training results
+
+
+
 ### Framework versions
 
 - Transformers 4.35.2

runs/Feb05_00-16-18_607ad2560424/events.out.tfevents.1707098472.607ad2560424.159.1

@@ -0,0 +1,3 @@
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+oid sha256:e3a866ec4db3d5a23d40733a050d54c734b91648f0e910b2ae6f7656c81820a3
+size 413