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: 1.0792
-- Accuracy: 0.4965
+- Loss: 0.4079
+- Accuracy: 0.933
 
 ## Model description
 
@@ -37,8 +37,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 2
-- eval_batch_size: 2
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -46,13 +46,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step   | Validation Loss | Accuracy |
-|:-------------:|:-----:|:------:|:---------------:|:--------:|
-| 0.8873        | 1.0   | 20000  | 1.0792          | 0.4965   |
-| 0.8178        | 2.0   | 40000  | 1.4091          | 0.4965   |
-| 0.7809        | 3.0   | 60000  | 1.4333          | 0.4965   |
-| 0.7748        | 4.0   | 80000  | 1.3670          | 0.4965   |
-| 0.825         | 5.0   | 100000 | 1.3884          | 0.4965   |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.15          | 1.0   | 5000  | 0.3810          | 0.922    |
+| 0.1081        | 2.0   | 10000 | 0.3625          | 0.93     |
+| 0.0529        | 3.0   | 15000 | 0.4607          | 0.9225   |
+| 0.0503        | 4.0   | 20000 | 0.4079          | 0.933    |
+| 0.0291        | 5.0   | 25000 | 0.5082          | 0.931    |
 
 
 ### Framework versions