update model card README.md

README.md

@@ -14,8 +14,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4500
-- Rmse: 0.2285
+- Loss: 0.4452
+- Rmse: 0.4436
 
 ## Model description
 
@@ -46,16 +46,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rmse   |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2294        | 1.0   | 642  | 0.2043          | 0.2574 |
-| 0.1562        | 2.0   | 1284 | 0.1764          | 0.2466 |
-| 0.1141        | 3.0   | 1926 | 0.2350          | 0.2418 |
-| 0.0724        | 4.0   | 2568 | 0.3255          | 0.2442 |
-| 0.0544        | 5.0   | 3210 | 0.4008          | 0.2377 |
-| 0.0426        | 6.0   | 3852 | 0.4125          | 0.2352 |
-| 0.0343        | 7.0   | 4494 | 0.3922          | 0.2259 |
-| 0.0318        | 8.0   | 5136 | 0.4186          | 0.2336 |
-| 0.0304        | 9.0   | 5778 | 0.4204          | 0.2277 |
-| 0.0265        | 10.0  | 6420 | 0.4500          | 0.2285 |
+| 0.2242        | 1.0   | 642  | 0.1785          | 0.4892 |
+| 0.1607        | 2.0   | 1284 | 0.1834          | 0.4844 |
+| 0.1161        | 3.0   | 1926 | 0.2248          | 0.4630 |
+| 0.0716        | 4.0   | 2568 | 0.2882          | 0.4316 |
+| 0.0582        | 5.0   | 3210 | 0.3435          | 0.4441 |
+| 0.0487        | 6.0   | 3852 | 0.3672          | 0.4562 |
+| 0.0397        | 7.0   | 4494 | 0.3785          | 0.4528 |
+| 0.0326        | 8.0   | 5136 | 0.4055          | 0.4493 |
+| 0.0276        | 9.0   | 5778 | 0.4224          | 0.4410 |
+| 0.0243        | 10.0  | 6420 | 0.4452          | 0.4436 |
 
 
 ### Framework versions