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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1101
-- F1: 0.3846
+- Loss: 1.5797
+- F1: 0.2746
 
 ## Model description
 
@@ -43,21 +43,23 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 5
-- num_epochs: 10
+- num_epochs: 12
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 2.1158        | 1.18  | 100  | 1.8798          | 0.1060 |
-| 1.8474        | 2.35  | 200  | 1.6564          | 0.1666 |
-| 1.7147        | 3.53  | 300  | 1.5267          | 0.2450 |
-| 1.5738        | 4.71  | 400  | 1.4163          | 0.2523 |
-| 1.5035        | 5.88  | 500  | 1.2823          | 0.3144 |
-| 1.397         | 7.06  | 600  | 1.2035          | 0.3422 |
-| 1.3436        | 8.24  | 700  | 1.1409          | 0.3740 |
-| 1.2812        | 9.41  | 800  | 1.1101          | 0.3846 |
+| 2.1596        | 1.18  | 100  | 1.9772          | 0.0891 |
+| 1.8651        | 2.35  | 200  | 1.7720          | 0.1159 |
+| 1.6848        | 3.53  | 300  | 1.7193          | 0.1892 |
+| 1.5532        | 4.71  | 400  | 1.6794          | 0.2191 |
+| 1.466         | 5.88  | 500  | 1.6095          | 0.2419 |
+| 1.3562        | 7.06  | 600  | 1.5771          | 0.2694 |
+| 1.2909        | 8.24  | 700  | 1.5761          | 0.2707 |
+| 1.2027        | 9.41  | 800  | 1.5747          | 0.2764 |
+| 1.192         | 10.59 | 900  | 1.5893          | 0.2686 |
+| 1.1256        | 11.76 | 1000 | 1.5797          | 0.2746 |
 
 
 ### Framework versions