update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.90625
+      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: 0.2912
-- Accuracy: 0.9062
+- Loss: 0.2958
+- Accuracy: 0.909
 
 ## Model description
 
@@ -63,13 +63,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2496        | 1.0   | 63   | 0.2528          | 0.9093   |
-| 0.2034        | 2.0   | 126  | 0.2912          | 0.9062   |
+| 0.2212        | 1.0   | 63   | 0.2900          | 0.901    |
+| 0.1967        | 2.0   | 126  | 0.2958          | 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