update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.90175
+      value: 0.909
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [BSC-TeMU/roberta-base-bne](https://huggingface.co/BSC-TeMU/roberta-base-bne) on the amazon_reviews_multi dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3151
-- Accuracy: 0.9018
+- Loss: 0.2885
+- Accuracy: 0.909
 
 ## Model description
 
@@ -63,13 +63,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2242        | 1.0   | 63   | 0.2849          | 0.9035   |
-| 0.193         | 2.0   | 126  | 0.3151          | 0.9018   |
+| 0.2633        | 1.0   | 63   | 0.3015          | 0.8878   |
+| 0.1725        | 2.0   | 126  | 0.2885          | 0.909    |
 
 
 ### Framework versions
 
-- Transformers 4.27.1
+- Transformers 4.27.2
 - Pytorch 1.13.1+cu116
 - Datasets 2.10.1
 - Tokenizers 0.13.2