update model card README.md

README.md

@@ -16,9 +16,9 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0102
-- Pearson: 0.9770
-- Spearmanr: 0.9063
+- Loss: 0.0084
+- Pearson: 0.9811
+- Spearmanr: 0.9075
 
 ## Model description
 
@@ -37,7 +37,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-05
+- learning_rate: 5e-05
 - train_batch_size: 20
 - eval_batch_size: 20
 - seed: 25
@@ -51,11 +51,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|
-| 0.0241        | 1.0   | 105  | 0.0276          | 0.9385  | 0.8944    |
-| 0.011         | 2.0   | 210  | 0.0130          | 0.9693  | 0.9099    |
-| 0.0027        | 3.0   | 315  | 0.0113          | 0.9725  | 0.9052    |
-| 0.0031        | 4.0   | 420  | 0.0101          | 0.9759  | 0.9053    |
-| 0.0014        | 5.0   | 525  | 0.0102          | 0.9770  | 0.9063    |
+| 0.0059        | 1.0   | 105  | 0.0158          | 0.9633  | 0.9054    |
+| 0.001         | 2.0   | 210  | 0.0102          | 0.9770  | 0.9103    |
+| 0.0008        | 3.0   | 315  | 0.0083          | 0.9805  | 0.9052    |
+| 0.0011        | 4.0   | 420  | 0.0075          | 0.9812  | 0.9082    |
+| 0.0017        | 5.0   | 525  | 0.0084          | 0.9811  | 0.9075    |
 
 
 ### Framework versions