Update README.md

README.md

@@ -5,4 +5,56 @@ language:
 - ur
 metrics:
 - bleu
----
+---
+
+```markdown
+# Fine-tuned mBART Model for English to Urdu Translation
+
+This repository contains a fine-tuned mBART model for English to Urdu translation. The model has been trained on a custom dataset and evaluated on test data.
+
+## Model Information
+
+- **Model Name:** `abdulwaheed63/mbart_en_ur_finetuned`
+- **Base Model:** `facebook/mbart-large-50`
+- **Tokenizer:** `facebook/mbart-large-50`
+- **Source Language:** English (`en`)
+- **Target Language:** Urdu (`ur`)
+
+## Usage
+
+```python
+from transformers import MBart50TokenizerFast, MBartForConditionalGeneration
+
+# Load the fine-tuned model
+model_name = "abdulwaheed63/mbart_en_ur_finetuned"
+tokenizer = MBart50TokenizerFast.from_pretrained(model_name, src_lang="en_XX", tgt_lang="ur_PK")
+model = MBartForConditionalGeneration.from_pretrained(model_name)
+```
+
+## Evaluation
+
+The model has been evaluated on a test dataset, and the following metrics were obtained:
+
+- **BLEU Score:** 35.87
+- **Generation Length:** 42.56
+- **Meteor Score:** 0.60
+
+## Training Details
+
+The model was trained using the `transformers` library with the following configuration:
+
+- **Training Loss:** 1.5697
+- **Validation Loss:** 1.1256
+
+
+## Dataset
+
+The model was fine-tuned on a custom English-Urdu translation dataset. If you wish to use the same dataset, you can find the preprocessing script and dataset files in the `data` directory.
+
+## Acknowledgments
+
+The fine-tuning process and code were inspired by the [Hugging Face Transformers library](https://github.com/huggingface/transformers).
+
+
+
+---