Update README.md

README.md

@@ -5,6 +5,14 @@ tags:
 model-index:
 - name: mariav/helsinki-opus-de-en-fine-tuned-wmt16
   results: []
+datasets:
+- wmt16
+language:
+- de
+- en
+metrics:
+- bleu
+pipeline_tag: translation
 ---
 
 <!-- This model card has been generated automatically according to the information Keras had access to. You should
@@ -12,7 +20,7 @@ probably proofread and complete it, then remove this comment. -->
 
 # mariav/helsinki-opus-de-en-fine-tuned-wmt16
 
-This model is a fine-tuned version of [Helsinki-NLP/opus-mt-de-en](https://huggingface.co/Helsinki-NLP/opus-mt-de-en) on an unknown dataset.
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-de-en](https://huggingface.co/Helsinki-NLP/opus-mt-de-en) on the wmt16.
 It achieves the following results on the evaluation set:
 - Train Loss: 1.0077
 - Validation Loss: 1.4381
@@ -20,15 +28,18 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+This model is a fine-tuned version of Helsinki-NLP/opus-mt-de-en with the dataset wmt16 for the pair of languages german-english.
 
 ## Intended uses & limitations
 
-More information needed
+Limitations: scholar use. 
 
 ## Training and evaluation data
 
-More information needed
+Training done with keras from Transformers.
+Evaluation with Bleu:
+
+- Result: 
 
 ## Training procedure
 
@@ -54,4 +65,4 @@ The following hyperparameters were used during training:
 - Transformers 4.27.4
 - TensorFlow 2.12.0
 - Datasets 2.11.0
-- Tokenizers 0.13.2
+- Tokenizers 0.13.2