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 [albert-base-v2](https://huggingface.co/albert-base-v2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8972
-- F1: 0.4508
+- Loss: 1.8762
+- F1: 0.1946
 
 ## Model description
 
@@ -43,21 +43,19 @@ 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     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 2.0897        | 1.18  | 100  | 1.8602          | 0.1447 |
-| 1.766         | 2.35  | 200  | 1.5934          | 0.2428 |
-| 1.5647        | 3.53  | 300  | 1.4075          | 0.2847 |
-| 1.3879        | 4.71  | 400  | 1.2719          | 0.3176 |
-| 1.2584        | 5.88  | 500  | 1.1372          | 0.3672 |
-| 1.1227        | 7.06  | 600  | 1.0391          | 0.4094 |
-| 1.018         | 8.24  | 700  | 0.9516          | 0.4273 |
-| 0.9416        | 9.41  | 800  | 0.8972          | 0.4508 |
+| 2.1002        | 1.18  | 100  | 1.9982          | 0.1023 |
+| 1.7832        | 2.35  | 200  | 1.8435          | 0.1310 |
+| 1.57          | 3.53  | 300  | 1.8097          | 0.1552 |
+| 1.3719        | 4.71  | 400  | 1.8216          | 0.1631 |
+| 1.2072        | 5.88  | 500  | 1.8138          | 0.1811 |
+| 1.0186        | 7.06  | 600  | 1.8762          | 0.1946 |
 
 
 ### Framework versions