update model card README.md

README.md

@@ -16,12 +16,12 @@ 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: 42.3157
-- Mse: 42.3157
-- Mae: 4.8234
-- R2: 0.7609
-- Accuracy: 0.1628
-- Msev: 0.0236
+- Loss: 38.9115
+- Mse: 38.9115
+- Mae: 4.5330
+- R2: 0.7802
+- Accuracy: 0.1620
+- Msev: 0.0257
 
 ## Model description
 
@@ -52,16 +52,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Mse     | Mae    | R2     | Accuracy | Msev   |
 |:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:------:|:--------:|:------:|
-| 12.3002       | 1.0   | 5215  | 51.0302         | 51.0302 | 5.1908 | 0.7117 | 0.1673   | 0.0196 |
-| 4.2977        | 2.0   | 10430 | 46.5474         | 46.5474 | 5.0405 | 0.7370 | 0.1548   | 0.0215 |
-| 2.2706        | 3.0   | 15645 | 46.5963         | 46.5963 | 5.0687 | 0.7367 | 0.1454   | 0.0215 |
-| 1.5814        | 4.0   | 20860 | 44.7891         | 44.7891 | 4.9395 | 0.7469 | 0.1594   | 0.0223 |
-| 1.2115        | 5.0   | 26075 | 42.5385         | 42.5385 | 4.8214 | 0.7597 | 0.1616   | 0.0235 |
-| 1.0683        | 6.0   | 31290 | 43.4138         | 43.4138 | 4.8922 | 0.7547 | 0.1584   | 0.0230 |
-| 0.8982        | 7.0   | 36505 | 43.0956         | 43.0956 | 4.8646 | 0.7565 | 0.1677   | 0.0232 |
-| 0.723         | 8.0   | 41720 | 42.5585         | 42.5585 | 4.8302 | 0.7595 | 0.1758   | 0.0235 |
-| 0.7185        | 9.0   | 46935 | 42.6658         | 42.6658 | 4.8429 | 0.7589 | 0.1629   | 0.0234 |
-| 0.669         | 10.0  | 52150 | 42.3157         | 42.3157 | 4.8234 | 0.7609 | 0.1628   | 0.0236 |
+| 12.4524       | 1.0   | 5215  | 43.9797         | 43.9797 | 4.8194 | 0.7515 | 0.1693   | 0.0227 |
+| 4.393         | 2.0   | 10430 | 39.2333         | 39.2333 | 4.6028 | 0.7783 | 0.1737   | 0.0255 |
+| 2.424         | 3.0   | 15645 | 41.3763         | 41.3763 | 4.6597 | 0.7662 | 0.1620   | 0.0242 |
+| 1.781         | 4.0   | 20860 | 39.4309         | 39.4309 | 4.5960 | 0.7772 | 0.1767   | 0.0254 |
+| 1.3608        | 5.0   | 26075 | 38.9115         | 38.9115 | 4.5330 | 0.7802 | 0.1620   | 0.0257 |
+| 1.2014        | 6.0   | 31290 | 39.7403         | 39.7403 | 4.5850 | 0.7755 | 0.1716   | 0.0252 |
+| 1.0742        | 7.0   | 36505 | 40.4495         | 40.4495 | 4.6133 | 0.7715 | 0.1685   | 0.0247 |
+| 0.837         | 8.0   | 41720 | 39.5864         | 39.5864 | 4.5630 | 0.7763 | 0.1620   | 0.0253 |
+| 0.8054        | 9.0   | 46935 | 39.9482         | 39.9482 | 4.5839 | 0.7743 | 0.1569   | 0.0250 |
+| 0.8085        | 10.0  | 52150 | 39.5685         | 39.5685 | 4.5669 | 0.7764 | 0.1573   | 0.0253 |
 
 
 ### Framework versions