End of training

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8995526025694756
+      value: 0.9166004571449017
 ---
 
 <!-- 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 [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the banking77 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4844
-- F1: 0.8996
+- Loss: 0.4727
+- F1: 0.9166
 
 ## Model description
 
@@ -64,8 +64,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.1498        | 1.0   | 626  | 0.8605          | 0.8360 |
-| 0.4663        | 2.0   | 1252 | 0.4844          | 0.8996 |
+| 1.2138        | 1.0   | 626  | 0.8649          | 0.8688 |
+| 0.4911        | 2.0   | 1252 | 0.4727          | 0.9166 |
 
 
 ### Framework versions

logs/events.out.tfevents.1697091291.ac006a0fb04a.602.4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 10875
+oid sha256:a80811e82946e2af1d409818a1539f91fd9be0d857630440a287d30c7ba35cff
+size 11229