update model card README.md

README.md

@@ -4,7 +4,7 @@ tags:
 - Finance-sentiment-analysis
 - generated_from_trainer
 metrics:
-- accuracy
+- f1
 model-index:
 - name: bert-base-finance-sentiment-noisy-search
   results: []
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7916
-- Accuracy: 0.8598
+- Loss: 0.7975
+- F1: 0.8670
 
 ## Model description
 
@@ -47,13 +47,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4737        | 1.0   | 1022 | 0.4748          | 0.8272   |
-| 0.3285        | 2.0   | 2044 | 0.4707          | 0.8457   |
-| 0.1882        | 3.0   | 3066 | 0.6275          | 0.8560   |
-| 0.1088        | 4.0   | 4088 | 0.6454          | 0.8614   |
-| 0.0574        | 5.0   | 5110 | 0.7916          | 0.8598   |
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.4806        | 1.0   | 1022 | 0.5154          | 0.8336 |
+| 0.3147        | 2.0   | 2044 | 0.4915          | 0.8577 |
+| 0.194         | 3.0   | 3066 | 0.6181          | 0.8668 |
+| 0.0959        | 4.0   | 4088 | 0.6914          | 0.8680 |
+| 0.057         | 5.0   | 5110 | 0.7975          | 0.8670 |
 
 
 ### Framework versions