Update README.md

README.md

@@ -26,30 +26,29 @@ model-index:
       value: 52.88529894542656
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# finetuned-kde4-en-to-fr
+# Model description (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: 52.8853
 
-## Model description
-
-More information needed
+## Intended uses
+- Translation of English text to French
+- Generating coherent and accurate translations in the domain of technical computer science
 
-## Intended uses & limitations
-
-More information needed
+## Limitations
+- The model's performance may degrade when translating sentences with complex or domain-specific terminology that was not present in the training data.
+- It may struggle with idiomatic expressions and cultural nuances that are not captured in the training data.
 
 ## Training and evaluation data
 
-More information needed
+The model was fine-tuned on the KDE4 dataset, which consists of pairs of sentences in English and their French translations. The dataset contains 189,155 pairs for training and 21,018 pairs for validation. 
 
 ## Training procedure
 
+The model was trained using the Seq2SeqTrainer API from the 🤗 Transformers library. The training procedure involved tokenizing the input English sentences and target French sentences, preparing the data collation for dynamic batching and fine-tuning the model. The evaluation metric used is *SacreBLEU*.
+
 ### Training hyperparameters
 
 The following hyperparameters were used during training: