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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0690
-- Accuracy: 0.9828
+- Loss: 0.0673
+- Accuracy: 0.9914
 
 ## Model description
 
@@ -42,19 +42,20 @@ 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: 2
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 69   | 0.1953          | 0.9655   |
-| No log        | 2.0   | 138  | 0.0690          | 0.9828   |
+| No log        | 1.0   | 69   | 0.2353          | 0.9741   |
+| No log        | 2.0   | 138  | 0.0894          | 0.9741   |
+| No log        | 3.0   | 207  | 0.0673          | 0.9914   |
 
 
 ### Framework versions
 
-- Transformers 4.28.1
+- Transformers 4.29.1
 - Pytorch 2.0.0+cu118
 - Datasets 2.12.0
 - Tokenizers 0.13.3