Update README.md

README.md

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 This model is a fine-tuned version of **MiniLM-L12-H384-uncased** for **emotion classification** in text. It is capable of predicting six basic emotions: **Joy, Anger, Fear, Sadness, Surprise, Disgust**.
 
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+This is an early test version of the model and not a final, polished release. It is still a work in progress, and future versions may include improvements and refinements.
 ## Description
 
 This model has been fine-tuned on a custom emotion dataset. It takes a text input and predicts the intensity of each of the six emotions listed above. The model uses the **MiniLM** architecture, which is lightweight and fast, offering good performance for NLP tasks with fewer parameters.
@@ -63,8 +65,8 @@ The model is licensed under the **MIT License**. You are free to use, modify, an
 
 ## Limitations
 
-- This model was trained on a specific custom dataset and might not perform optimally on other domains or languages.
-- The model currently only handles French text. Fine-tuning for other languages may be necessary.
+- This model was trained on a specific custom dataset of 50K pairs and might not perform optimally on other domains or languages.
+- The model currently only handles English text.
 
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@@ -72,4 +74,4 @@ The model is licensed under the **MIT License**. You are free to use, modify, an
 
 - Base model: **MiniLM-L12-H384-uncased** (Microsoft)
 - Dataset: **Custom Dataset**
-- Developed by: **[Your name or your team]**
+- Developed by: **Pharci**