update model card README.md

README.md

@@ -5,6 +5,9 @@ tags:
 - generated_from_trainer
 metrics:
 - f1
+- accuracy
+- precision
+- recall
 model-index:
 - name: bert-base-finance-sentiment-noisy-search
   results: []
@@ -17,8 +20,11 @@ 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: 0.7975
-- F1: 0.8670
+- Loss: 0.7819
+- F1: 0.8708
+- Accuracy: 0.8707
+- Precision: 0.8713
+- Recall: 0.8707
 
 ## Model description
 
@@ -47,13 +53,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| 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 |
+| Training Loss | Epoch | Step | Validation Loss | F1     | Accuracy | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:---------:|:------:|
+| 0.476         | 1.0   | 1022 | 0.4611          | 0.8268 | 0.8283   | 0.8289    | 0.8283 |
+| 0.3193        | 2.0   | 2044 | 0.4427          | 0.8565 | 0.8565   | 0.8565    | 0.8565 |
+| 0.1926        | 3.0   | 3066 | 0.5921          | 0.8583 | 0.8587   | 0.8585    | 0.8587 |
+| 0.1104        | 4.0   | 4088 | 0.6870          | 0.8677 | 0.8674   | 0.8695    | 0.8674 |
+| 0.0544        | 5.0   | 5110 | 0.7819          | 0.8708 | 0.8707   | 0.8713    | 0.8707 |
 
 
 ### Framework versions