Training complete

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.625154130702836
+      value: 0.5154130702836005
 ---
 
 <!-- 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 [mor40/BulBERT-finetuned-cinexio](https://huggingface.co/mor40/BulBERT-finetuned-cinexio) on the bgglue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2162
-- Accuracy: 0.6252
+- Loss: 2.0064
+- Accuracy: 0.5154
 
 ## Model description
 
@@ -63,8 +63,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 128  | 1.2034          | 0.6091   |
-| No log        | 2.0   | 256  | 1.2162          | 0.6252   |
+| No log        | 1.0   | 128  | 2.0114          | 0.5142   |
+| No log        | 2.0   | 256  | 2.0064          | 0.5154   |
 
 
 ### Framework versions