Update README.md

README.md

@@ -7,8 +7,12 @@ metrics:
 - accuracy
 - f1
 model-index:
-- name: financial-twhin-bert-large-3labels-tt
+- name: financial-twhin-bert-large-3labels
   results: []
+datasets:
+- zeroshot/twitter-financial-news-sentiment
+language:
+- en
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -50,26 +54,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8622        | 0.15  | 100  | 0.6806          | 0.7442   | 0.6936 |
-| 0.7005        | 0.3   | 200  | 0.5887          | 0.7731   | 0.7317 |
-| 0.5556        | 0.46  | 300  | 0.4472          | 0.8242   | 0.8328 |
-| 0.462         | 0.61  | 400  | 0.4188          | 0.8509   | 0.8546 |
-| 0.4282        | 0.76  | 500  | 0.3870          | 0.8444   | 0.8498 |
-| 0.4109        | 0.91  | 600  | 0.3031          | 0.8818   | 0.8813 |
-| 0.3524        | 1.06  | 700  | 0.3483          | 0.8876   | 0.8859 |
-| 0.2896        | 1.21  | 800  | 0.3430          | 0.8725   | 0.8757 |
-| 0.2731        | 1.37  | 900  | 0.3743          | 0.8602   | 0.8659 |
-| 0.2598        | 1.52  | 1000 | 0.3246          | 0.8905   | 0.8917 |
-| 0.2954        | 1.67  | 1100 | 0.2988          | 0.8927   | 0.8942 |
-| 0.2456        | 1.82  | 1200 | 0.2981          | 0.8912   | 0.8930 |
-| 0.2428        | 1.97  | 1300 | 0.2959          | 0.8934   | 0.8943 |
-
 
 ### Framework versions
 
 - Transformers 4.37.2
 - Pytorch 2.1.0+cu121
 - Datasets 2.17.1
-- Tokenizers 0.15.2
+- Tokenizers 0.15.2