Update README.md

README.md

@@ -21,19 +21,7 @@ This model is an impovement of the previous version [Terjman-Large](atlasia/Terj
 
 The finetuning was conducted using a **A100-40GB** and took **17 hours**. 
 
-## Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 2e-04
-- train_batch_size: 16
-- eval_batch_size: 16
-- seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 32
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_ratio: 0.03
-- num_epochs: 30
+Try it out on our dedicated [Terjman-Large-v2 Space](https://huggingface.co/spaces/atlasia/Terjman-Large-v2) 🤗
 
 ## Usage
 
@@ -67,9 +55,9 @@ print("Translation:", output_text)
 
 Let's see an example of transliterating Moroccan Darija Arabizi to Arabic:
 
-**Input**: "Hello my friend, how's life in Morocco"
+**Input**: "Hi my friend, can you tell me a joke in moroccan darija? I'd be happy to hear that from you!"
 
-**Output**: "سالام صاحبي كيف الأحوال فالمغرب"
+**Output**: "سلام صاحبتي ممكن تقولي ليا نكتة بالدارجة المغربية؟ نفرح نسمعها منك!"
 
 
 ## Limiations
@@ -82,6 +70,22 @@ We're currently collecting more data with the aim of continous improvements.
 We're continuously striving to improve our model's performance and usability and we will be improving it incrementaly. 
 If you have any feedback, suggestions, or encounter any issues, please don't hesitate to reach out to us.
 
+
+## Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-04
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 30
+
+  
 ## Framework versions
 
 - Transformers 4.39.2