End of training

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.9309987829679455
+      value: 0.9340518435158376
 ---
 
 <!-- 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: 0.2985
-- F1: 0.9310
+- Loss: 0.2944
+- F1: 0.9341
 
 ## Model description
 
@@ -64,9 +64,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.1525        | 1.0   | 626  | 0.8282          | 0.8297 |
-| 0.4037        | 2.0   | 1252 | 0.3748          | 0.9180 |
-| 0.1896        | 3.0   | 1878 | 0.2985          | 0.9310 |
+| 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 |
 
 
 ### Framework versions

logs/events.out.tfevents.1697102096.a1119047f044.1561.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 11663
+oid sha256:ea3e04e75725b0e59c21687ce59f55431859aef9ce24c9f255d92ebc7fabe266
+size 12017