Updated

README.md

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 <!-- Provide a quick summary of what the model is/does. -->
 
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+The model is a MuRIL based finetuned model on the language identification task. The model can identify English and all 22 official Indian languaages.
 
 ## Model Details
 
@@ -17,48 +17,43 @@ tags: []
 
 This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
 
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
+- **Developed by:** Pruthwik Mishra, Yash Ingle
+- **Funded by [optional]:** SVNIT, Surat
 - **Shared by [optional]:** [More Information Needed]
 - **Model type:** [More Information Needed]
 - **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
+- **License:** MIT
+- **Finetuned from model [optional]:** google/muril-base-cased
 
 ### Model Sources [optional]
 
 <!-- Provide the basic links for the model. -->
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
+- **Repository:** [https://github.com/yashingle-ai/TextLangDetect]
+- **Paper [optional]:** [https://arxiv.org/abs/2507.11832]
 - **Demo [optional]:** [More Information Needed]
 
 ## Uses
 
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+The model can be directly used for English and Indian language identification.
 ### Direct Use
 
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-
-[More Information Needed]
+The model can be directly used for English and Indian language identification.
 
 ### Downstream Use [optional]
 
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+ Can be integrated into any pipeline that requires language identification for the concerned languages.
 
 [More Information Needed]
 
 ### Out-of-Scope Use
 
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+The model may not work for languages other than English and Indian languages.
 [More Information Needed]
 
 ## Bias, Risks, and Limitations
 
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+The model may not perform well on very resource poor languages such as Manipuri (in Meitei script), Sindhi, Maithili.
 [More Information Needed]
 
 ### Recommendations
@@ -96,14 +91,12 @@ Use the code below to get started with the model.
 
 #### Speeds, Sizes, Times [optional]
 
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+250K Dataset named ILID (Indian Language Identification Dataset)
 [More Information Needed]
 
 ## Evaluation
 
-<!-- This section describes the evaluation protocols and provides the results. -->
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+The models are evaluated on the created corpora and the Bhasha-Abhijnaanam benchmark.
 ### Testing Data, Factors & Metrics
 
 #### Testing Data
@@ -120,14 +113,12 @@ Use the code below to get started with the model.
 
 #### Metrics
 
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+F1-score
 [More Information Needed]
 
 ### Results
 
-[More Information Needed]
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+0.96 F1 on an average
 #### Summary
 
 
@@ -174,8 +165,15 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 
 **BibTeX:**
 
-[More Information Needed]
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+@misc{ingle2025ilidnativescriptlanguage,
+      title={ILID: Native Script Language Identification for Indian Languages}, 
+      author={Yash Ingle and Pruthwik Mishra},
+      year={2025},
+      eprint={2507.11832},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2507.11832}, 
+}
 **APA:**
 
 [More Information Needed]