End of training

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.9385068445233452
+      value: 0.9348825614500316
 ---
 
 <!-- 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: 0.2970
-- F1: 0.9385
+- Loss: 0.2956
+- F1: 0.9349
 
 ## Model description
 
@@ -63,10 +63,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.6968        | 1.0   | 1251 | 0.5530          | 0.8591 |
-| 0.2875        | 2.0   | 2502 | 0.3386          | 0.9121 |
-| 0.1592        | 3.0   | 3753 | 0.3015          | 0.9331 |
-| 0.0487        | 4.0   | 5004 | 0.2970          | 0.9385 |
+| 0.6757        | 1.0   | 1251 | 0.5184          | 0.8868 |
+| 0.265         | 2.0   | 2502 | 0.3234          | 0.9207 |
+| 0.1595        | 3.0   | 3753 | 0.2986          | 0.9375 |
+| 0.034         | 4.0   | 5004 | 0.2956          | 0.9349 |
 
 
 ### Framework versions

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