End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.91125
+      value: 0.90825
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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: 0.2624
-- Accuracy: 0.9113
+- Loss: 0.2628
+- Accuracy: 0.9083
 
 ## Model description
 
@@ -64,8 +64,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2548        | 1.0   | 63   | 0.2700          | 0.9052   |
-| 0.1491        | 2.0   | 126  | 0.2624          | 0.9113   |
+| 0.2624        | 1.0   | 63   | 0.2680          | 0.9022   |
+| 0.1197        | 2.0   | 126  | 0.2628          | 0.9083   |
 
 
 ### Framework versions