Update README.md

README.md

@@ -7,16 +7,21 @@ metrics:
 - accuracy
 - f1
 model-index:
-- name: financial-twhin-bert-large-3labels-dev
+- name: financial-twhin-bert-large-3labels-pesudo-bb-only
   results: []
+datasets:
+- kekunh/stock-related-tweets
+- zeroshot/twitter-financial-news-sentiment
+language:
+- en
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# financial-twhin-bert-large-3labels-dev
+# financial-twhin-bert-large-3labels-pesudo-bb-only
 
-This model is a fine-tuned version of [Twitter/twhin-bert-large](https://huggingface.co/Twitter/twhin-bert-large) on an unknown dataset.
+This model is a fine-tuned version of [Twitter/twhin-bert-large](https://huggingface.co/Twitter/twhin-bert-large) on finance-related tweets.
 It achieves the following results on the evaluation set:
 - Loss: 0.4379
 - Accuracy: 0.8847
@@ -62,4 +67,4 @@ The following hyperparameters were used during training:
 - Transformers 4.37.2
 - Pytorch 2.1.0+cu121
 - Datasets 2.17.1
-- Tokenizers 0.15.2
+- Tokenizers 0.15.2