Update README.md

README.md

@@ -4,6 +4,7 @@ base_model: Twitter/twhin-bert-base
 tags:
 - text-classification
 - generated_from_trainer
+- lao-extractive-summarization
 metrics:
 - accuracy
 - precision
@@ -12,6 +13,8 @@ metrics:
 model-index:
 - name: fine-tuned-bert-extractive-summarization
   results: []
+language:
+- lo
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -19,7 +22,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # fine-tuned-bert-extractive-summarization
 
-This model is a fine-tuned version of [Twitter/twhin-bert-base](https://huggingface.co/Twitter/twhin-bert-base) on the None dataset.
+This model is a fine-tuned version of [Twitter/twhin-bert-base](https://huggingface.co/Twitter/twhin-bert-base) on the LaoNews dataset for Lao text extractive summarization.
 It achieves the following results on the evaluation set:
 - Loss: 0.5566
 - Accuracy: 0.6995
@@ -70,4 +73,4 @@ The following hyperparameters were used during training:
 - Transformers 4.39.3
 - Pytorch 2.3.0+cu121
 - Datasets 2.18.0
-- Tokenizers 0.15.2
+- Tokenizers 0.15.2