End of training

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.9338409726404548
+      value: 0.9307471722060918
 ---
 
 <!-- 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: 0.2852
-- F1: 0.9338
+- Loss: 0.2828
+- F1: 0.9307
 
 ## Model description
 
@@ -63,9 +63,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.0704        | 1.0   | 626  | 0.7517          | 0.8710 |
-| 0.3847        | 2.0   | 1252 | 0.3584          | 0.9229 |
-| 0.1824        | 3.0   | 1878 | 0.2852          | 0.9338 |
+| 1.0786        | 1.0   | 626  | 0.7667          | 0.8429 |
+| 0.3836        | 2.0   | 1252 | 0.3487          | 0.9223 |
+| 0.1855        | 3.0   | 1878 | 0.2828          | 0.9307 |
 
 
 ### Framework versions

logs/events.out.tfevents.1691002214.WorkStation.23004.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 11689
+oid sha256:571b25374ce48dedf77722493c1fe4820db5b6a5149d65c9f0604217a41b1f59
+size 12043