End of training

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.9340518435158376
+      value: 0.9317653034564948
 ---
 
 <!-- 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: 0.2944
-- F1: 0.9341
+- Loss: 0.2888
+- F1: 0.9318
 
 ## Model description
 
@@ -64,9 +64,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.0704        | 1.0   | 626  | 0.7720          | 0.8526 |
-| 0.3842        | 2.0   | 1252 | 0.3687          | 0.9240 |
-| 0.1862        | 3.0   | 1878 | 0.2944          | 0.9341 |
+| 1.0663        | 1.0   | 626  | 0.7575          | 0.8581 |
+| 0.3685        | 2.0   | 1252 | 0.3536          | 0.9238 |
+| 0.1744        | 3.0   | 1878 | 0.2888          | 0.9318 |
 
 
 ### Framework versions

logs/events.out.tfevents.1697104659.32357d76ef77.720.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 11663
+oid sha256:e5045c1fbc81bce3d5eb4a57212e6abef3d4f69558f8a43830d2199df93ccc47
+size 12017