End of training

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.927904494938546
+      value: 0.9308119474358835
 ---
 
 <!-- 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: 0.3047
-- F1: 0.9279
+- Loss: 0.2956
+- F1: 0.9308
 
 ## Model description
 
@@ -63,9 +63,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.1189        | 1.0   | 626  | 0.7946          | 0.8508 |
-| 0.3914        | 2.0   | 1252 | 0.3690          | 0.9227 |
-| 0.1896        | 3.0   | 1878 | 0.3047          | 0.9279 |
+| 1.0896        | 1.0   | 626  | 0.7784          | 0.8637 |
+| 0.3846        | 2.0   | 1252 | 0.3535          | 0.9234 |
+| 0.1817        | 3.0   | 1878 | 0.2956          | 0.9308 |
 
 
 ### Framework versions

logs/events.out.tfevents.1690972486.WorkStation.24660.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 11689
+oid sha256:f57d8bf440bd16b5e6e7ce318d8851bc48c6fb07d2e011054e224898be920561
+size 12043