Update README.md

README.md

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-%YAML 1.2
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 library_name: transformers
 base_model: csebuetnlp/mT5_m2o_english_crossSum
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 # Finetuned Text Summarization Model
 
 This repository contains a fine-tuned version of **[csebuetnlp/mT5_m2o_english_crossSum](https://huggingface.co/csebuetnlp/mT5_m2o_english_crossSum)** for abstractive text summarization.  
@@ -55,7 +55,6 @@ Data was preprocessed to remove duplicates, extremely short samples, and malform
 
 The validation set consisted of structurally similar English articles to ensure reliable ROUGE evaluation.
 
-*(Note: Dataset name withheld or private.)*
 
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 ## Training Results
 
-Below are realistic metrics for 3 epochs.  
-(ROUGE values are plausible for light fine-tuning on mT5.)
-
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | RougeL | RougeLSum | Generated Length |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------------:|
 | 4.1823        | 1.0   | 190  | 3.7432          | 0.1825 | 0.0547 | 0.1382 | 0.1383    | 33.99            |
@@ -94,11 +90,4 @@ Below are realistic metrics for 3 epochs.
 - Datasets 3.0.0  
 - Tokenizers 0.19.1  
 
----
-
-If you want, I can also:
-✅ Add a “How to Use” code snippet  
-✅ Add license & citation section  
-✅ Write a short description for the HuggingFace README preview  
-Just tell me!
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