update model card README.md

README.md

@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [AIRI-Institute/gena-lm-bigbird-base-t2t](https://huggingface.co/AIRI-Institute/gena-lm-bigbird-base-t2t) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6821
-- Accuracy: 0.5128
+- Loss: 0.6717
+- Accuracy: 0.7949
 
 ## Model description
 
@@ -41,17 +41,22 @@ 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: 5
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6967        | 1.0   | 10   | 0.6868          | 0.5385   |
-| 0.6984        | 2.0   | 20   | 0.6978          | 0.5128   |
-| 0.6907        | 3.0   | 30   | 0.6913          | 0.4615   |
-| 0.673         | 4.0   | 40   | 0.6834          | 0.5128   |
-| 0.665         | 5.0   | 50   | 0.6821          | 0.5128   |
+| 0.6885        | 1.0   | 10   | 0.6923          | 0.4615   |
+| 0.6785        | 2.0   | 20   | 0.6819          | 0.5385   |
+| 0.6589        | 3.0   | 30   | 0.6930          | 0.5128   |
+| 0.6021        | 4.0   | 40   | 0.7762          | 0.5128   |
+| 0.5021        | 5.0   | 50   | 0.5179          | 0.7949   |
+| 0.3407        | 6.0   | 60   | 0.4931          | 0.7436   |
+| 0.2148        | 7.0   | 70   | 0.5146          | 0.8462   |
+| 0.1577        | 8.0   | 80   | 0.5509          | 0.7949   |
+| 0.167         | 9.0   | 90   | 0.5763          | 0.8462   |
+| 0.0903        | 10.0  | 100  | 0.6717          | 0.7949   |
 
 
 ### Framework versions