update model card README.md

README.md

@@ -16,8 +16,8 @@ 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 None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.7892
-- Accuracy: 0.2675
+- Loss: 1.7088
+- Accuracy: 0.1529
 
 ## Model description
 
@@ -42,17 +42,21 @@ 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: 4
+- num_epochs: 8
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 1.7766        | 0.76  | 5000  | 1.8909          | 0.1331   |
-| 1.7572        | 1.52  | 10000 | 1.7809          | 0.1331   |
-| 1.7543        | 2.28  | 15000 | 1.8126          | 0.1031   |
-| 1.7273        | 3.05  | 20000 | 1.8048          | 0.1331   |
-| 1.7435        | 3.81  | 25000 | 1.7892          | 0.2675   |
+| Training Loss | Epoch | Step  | Accuracy | Validation Loss |
+|:-------------:|:-----:|:-----:|:--------:|:---------------:|
+| 1.7766        | 0.76  | 5000  | 0.1331   | 1.8909          |
+| 1.7572        | 1.52  | 10000 | 0.1331   | 1.7809          |
+| 1.7543        | 2.28  | 15000 | 0.1031   | 1.8126          |
+| 1.7273        | 3.05  | 20000 | 0.1331   | 1.8048          |
+| 1.7435        | 3.81  | 25000 | 0.2675   | 1.7892          |
+| 1.7606        | 4.99  | 30000 | 1.7848   | 0.3121          |
+| 1.7546        | 5.82  | 35000 | 1.7737   | 0.3121          |
+| 1.7417        | 6.65  | 40000 | 1.7699   | 0.3121          |
+| 1.7007        | 7.48  | 45000 | 1.7088   | 0.1529          |
 
 
 ### Framework versions