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: 0.4469
-- F1: 0.8470
+- Loss: 1.0636
+- F1: 0.5250
 
 ## Model description
 
@@ -43,21 +43,20 @@ 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     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.1983        | 1.18  | 100  | 1.1133          | 0.1623 |
-| 1.0984        | 2.35  | 200  | 0.9809          | 0.2407 |
-| 0.9901        | 3.53  | 300  | 0.8533          | 0.5465 |
-| 0.8389        | 4.71  | 400  | 0.7101          | 0.6863 |
-| 0.7889        | 5.88  | 500  | 0.5927          | 0.7696 |
-| 0.6865        | 7.06  | 600  | 0.5303          | 0.8061 |
-| 0.6364        | 8.24  | 700  | 0.4778          | 0.8278 |
-| 0.5907        | 9.41  | 800  | 0.4469          | 0.8470 |
+| 1.2188        | 1.18  | 100  | 1.1325          | 0.1501 |
+| 1.0837        | 2.35  | 200  | 1.0649          | 0.2187 |
+| 0.9903        | 3.53  | 300  | 1.0039          | 0.4133 |
+| 0.8634        | 4.71  | 400  | 0.9906          | 0.4265 |
+| 0.812         | 5.88  | 500  | 1.0208          | 0.4634 |
+| 0.7195        | 7.06  | 600  | 1.0297          | 0.5146 |
+| 0.6659        | 8.24  | 700  | 1.0636          | 0.5250 |
 
 
 ### Framework versions