Update README.md

README.md

@@ -89,20 +89,59 @@ It achieves the following results on the evaluation set:
 **SENT_RO**
 
 
+|  |precision   | recall   | f1-score   |  support |
+|:-------------:|:-----:|:----:|:------:|:--------:|
+| Negative (0)  | 0.79   | 0.83 | 0.81  | 11,675   |
+| Positive (1) | 0.88  | 0.85 | 0.87   | 17,271   |
+|   |   |  |   |    |
+| Accuracy  |   |  | 0.85   | 28,946   |
+| Macro Avg  | 0.84  | 0.84 | 0.84   | 28,946   |
+| Weighted Avg  | 0.85  | 0.85 | 0.85   | 28,946   |
+
+**LaRoSeDa**
+
+
+|  |precision   | recall   | f1-score   |  support |
+|:-------------:|:-----:|:----:|:------:|:--------:|
+| Negative (0)  | 0.79   | 0.94 | 0.86  | 7,500   |
+| Positive (1) | 0.93  | 0.75 | 0.83   | 7,500   |
+|   |   |  |   |    |
+| Accuracy  |   |  | 0.85   | 15,000   |
+| Macro Avg  | 0.86  | 0.85 | 0.84   | 15,000   |
+| Weighted Avg  | 0.86  | 0.85 | 0.84   | 15,000   |
+
+
 ## Model description
 
-More information needed
+Finetuned Romanian BERT model for sentiment classification. 
+
+Trained on a mix of product reviews from Decathlon retailer website and movie reviews from cinemagia.
+
+
 
 ## Intended uses & limitations
 
-More information needed
+Sentiment classification for Romanian Language. 
+
+Biased towards Product reviews. 
 
 ## Training and evaluation data
 
-More information needed
+**Trained on:**
+- Decathlon Dataset available on request
+
+- Cinemagia Movie reviews public on kaggle [Link](https://www.kaggle.com/datasets/gringoandy/romanian-sentiment-movie-reviews)
 
+**Evaluated on**
+
+- Holdout data from training dataset
+- RO_SENT Dataset
+- LaROSeDa Dataset
+
+  
 ## Training procedure
 
+
 ### Training hyperparameters
 
 The following hyperparameters were used during training: