Add library_name: transformers to metadata

README.md

@@ -1,5 +1,6 @@
 ---
-license: cc-by-nc-sa-4.0
+base_model:
+- meta-llama/Llama-3.1-8B-Instruct
 datasets:
 - QCRI/LlamaLens-English
 - QCRI/LlamaLens-Arabic
@@ -8,8 +9,11 @@ language:
 - ar
 - en
 - hi
-base_model:
-- meta-llama/Llama-3.1-8B-Instruct
+license: cc-by-nc-sa-4.0
+metrics:
+- accuracy
+- f1
+- rouge
 pipeline_tag: text-generation
 tags:
 - Social-Media
@@ -17,12 +21,10 @@ tags:
 - Summarization
 - offensive-language
 - News-Genre
-metrics:
-- accuracy
-- f1
-- rouge
+library_name: transformers
 ---
-# LlamaLens: Specialized Multilingual LLM forAnalyzing News and Social Media Content
+
+# LlamaLens: Specialized Multilingual LLM for Analyzing News and Social Media Content
 
 ## Overview
 LlamaLens is a specialized multilingual LLM designed for analyzing news and social media content. It focuses on 18 NLP tasks, leveraging 52 datasets across Arabic, English, and Hindi.
@@ -188,7 +190,6 @@ Below, we present  the performance of **L-Lens: LlamaLens** , where *"Eng"* refe
 |          Sarcasm Detection         | News-Headlines-Dataset-For-Sarcasm-Detection |     Acc    |   0.897  |         0.668         |         0.936         |         0.947        |           0.039          |
 |      Sentiment Classification      |               NewsMTSC-dataset               |    Ma-F1   |   0.817  |         0.628         |         0.751         |         0.748        |          -0.066          |
 |       Subjectivity Detection       |            clef2024-checkthat-lab            |    Ma-F1   |   0.744  |         0.535         |         0.642         |         0.628        |          -0.102          |
-|
 
 ---
 
@@ -203,12 +204,10 @@ Below, we present  the performance of **L-Lens: LlamaLens** , where *"Eng"* refe
 |         News Summarization         |                     xlsum                    |     R-2    |   0.136  |         0.078         |         0.171         |         0.170        |           0.035          |
 |    Offensive Language Detection    |          Offensive Speech Detection          |    Mi-F1   |   0.723  |         0.621         |         0.862         |         0.865        |           0.139          |
 |       Cyberbullying Detection      |                 MC_Hinglish1                 |     Acc    |   0.609  |         0.233         |         0.625         |         0.627        |           0.016          |
-|      Sentiment Classification      |              Sentiment Analysis              |     Acc    |   0.697  |         0.552         |         0.647         |         0.654        |          -0.050          
+|      Sentiment Classification      |              Sentiment Analysis              |     Acc    |   0.697  |         0.552         |         0.647         |         0.654        |          -0.050          |
 
 ## Paper  
-For an in-depth understanding, refer to our paper: [**LlamaLens: Specialized Multilingual LLM for Analyzing News and Social Media Content**](https://arxiv.org/pdf/2410.15308).
-
-
+For an in-depth understanding, refer to our paper: [LlamaLens: Specialized Multilingual LLM for Analyzing News and Social Media Content](https://arxiv.org/pdf/2410.15308).
 
 
 # License