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 [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8266
-- F1: 0.4620
+- Loss: 1.5524
+- F1: 0.3162
 
 ## Model description
 
@@ -43,21 +43,22 @@ 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     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 2.1548        | 1.18  | 100  | 1.9373          | 0.1031 |
-| 1.8405        | 2.35  | 200  | 1.6535          | 0.1315 |
-| 1.6221        | 3.53  | 300  | 1.4279          | 0.2601 |
-| 1.4091        | 4.71  | 400  | 1.2069          | 0.3527 |
-| 1.2815        | 5.88  | 500  | 1.0597          | 0.3904 |
-| 1.1345        | 7.06  | 600  | 0.9616          | 0.4186 |
-| 1.0509        | 8.24  | 700  | 0.8848          | 0.4423 |
-| 0.9696        | 9.41  | 800  | 0.8266          | 0.4620 |
+| 2.1209        | 1.18  | 100  | 1.9990          | 0.0801 |
+| 1.7997        | 2.35  | 200  | 1.7293          | 0.1349 |
+| 1.5749        | 3.53  | 300  | 1.6080          | 0.2431 |
+| 1.3674        | 4.71  | 400  | 1.5411          | 0.2793 |
+| 1.2214        | 5.88  | 500  | 1.5285          | 0.2980 |
+| 1.0752        | 7.06  | 600  | 1.5165          | 0.3054 |
+| 0.9899        | 8.24  | 700  | 1.5210          | 0.3186 |
+| 0.8733        | 9.41  | 800  | 1.5385          | 0.3134 |
+| 0.8578        | 10.59 | 900  | 1.5524          | 0.3162 |
 
 
 ### Framework versions