update model card README.md

README.md

@@ -29,7 +29,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the wikiann dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2293
+- Loss: 0.3097
 - F1: 1.0
 
 ## Model description
@@ -55,15 +55,22 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1  |
 |:-------------:|:-----:|:----:|:---------------:|:---:|
-| 0.5631        | 1.0   | 209  | 0.3163          | 1.0 |
-| 0.2445        | 2.0   | 418  | 0.2265          | 1.0 |
-| 0.1497        | 3.0   | 627  | 0.2293          | 1.0 |
+| 0.5689        | 1.0   | 209  | 0.3179          | 1.0 |
+| 0.2718        | 2.0   | 418  | 0.2733          | 1.0 |
+| 0.19          | 3.0   | 627  | 0.2560          | 1.0 |
+| 0.142         | 4.0   | 836  | 0.2736          | 1.0 |
+| 0.0967        | 5.0   | 1045 | 0.2686          | 1.0 |
+| 0.0668        | 6.0   | 1254 | 0.2966          | 1.0 |
+| 0.052         | 7.0   | 1463 | 0.3194          | 1.0 |
+| 0.0369        | 8.0   | 1672 | 0.3034          | 1.0 |
+| 0.0236        | 9.0   | 1881 | 0.3174          | 1.0 |
+| 0.0135        | 10.0  | 2090 | 0.3097          | 1.0 |
 
 
 ### Framework versions