Update README.md

README.md

@@ -7,6 +7,10 @@ metrics:
 model-index:
 - name: test_dir
   results: []
+datasets:
+- wisesight_sentiment
+language:
+- th
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -21,15 +25,16 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+This model is intended for Thai language sentiment analysis, specifically designed to classify text as either positive or negative.
 
 ## Intended uses & limitations
 
-More information needed
+- The model is only trained to recognize positive and negative sentiments and may not perform well on nuanced or multi-class sentiment tasks.
+- The model is specialized for the Thai language and is not intended for multi-language or code-switching scenarios.
 
 ## Training and evaluation data
 
-More information needed
+The model is trained on the Wisesight Sentiment dataset, which is a widely-used dataset for Thai NLP tasks.
 
 ## Training procedure
 
@@ -60,4 +65,4 @@ The following hyperparameters were used during training:
 - Transformers 4.33.2
 - Pytorch 2.0.1
 - Datasets 2.14.5
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3