update model card README.md

README.md

@@ -19,12 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [digitalepidemiologylab/covid-twitter-bert-v2](https://huggingface.co/digitalepidemiologylab/covid-twitter-bert-v2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3607
+- Loss: 0.3348
 - Accuracy: 0.888
-- Precision: 0.7544
-- Recall: 0.7544
-- F1-weighted: 0.888
-- F1: 0.7544
+- Precision: 0.7843
+- Recall: 0.7018
+- F1-weighted: 0.8857
+- F1: 0.7407
 
 ## Model description
 
@@ -43,7 +43,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 3e-05
 - train_batch_size: 16
 - eval_batch_size: 2
 - seed: 42
@@ -58,9 +58,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1-weighted | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:-----------:|:------:|
-| 0.4175        | 3.64  | 50   | 0.2775          | 0.912    | 0.8070    | 0.8070 | 0.912       | 0.8070 |
-| 0.1843        | 7.27  | 100  | 0.2945          | 0.908    | 0.8542    | 0.7193 | 0.9051      | 0.7810 |
-| 0.0731        | 10.91 | 150  | 0.3607          | 0.888    | 0.7544    | 0.7544 | 0.888       | 0.7544 |
+| 0.4411        | 3.64  | 50   | 0.3396          | 0.876    | 0.8611    | 0.5439 | 0.8652      | 0.6667 |
+| 0.1872        | 7.27  | 100  | 0.3182          | 0.876    | 0.6912    | 0.8246 | 0.8796      | 0.7520 |
+| 0.0724        | 10.91 | 150  | 0.3348          | 0.888    | 0.7843    | 0.7018 | 0.8857      | 0.7407 |
 
 
 ### Framework versions