End of training

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.9341038854068527
+      value: 0.9288880368785732
 ---
 
 <!-- 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: 0.2980
-- F1: 0.9341
+- Loss: 0.3126
+- F1: 0.9289
 
 ## Model description
 
@@ -63,9 +63,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.0769        | 1.0   | 626  | 0.7860          | 0.8553 |
-| 0.3843        | 2.0   | 1252 | 0.3650          | 0.9213 |
-| 0.1818        | 3.0   | 1878 | 0.2980          | 0.9341 |
+| 1.1538        | 1.0   | 626  | 0.8261          | 0.8491 |
+| 0.4114        | 2.0   | 1252 | 0.3838          | 0.9187 |
+| 0.1957        | 3.0   | 1878 | 0.3126          | 0.9289 |
 
 
 ### Framework versions

logs/events.out.tfevents.1687831524.ip-172-31-17-151.2857.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 11663
+oid sha256:a6f7018fd7cbbb437f1ca30c38814cbc84aa4b0e3079c7549f7d723875067461
+size 12017