End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.9351292987108686
+      value: 0.9272318357899242
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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: 0.2872
-- F1: 0.9351
+- Loss: 0.3258
+- F1: 0.9272
 
 ## Model description
 
@@ -64,9 +64,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.0094        | 1.0   | 626  | 0.7450          | 0.8601 |
-| 0.3388        | 2.0   | 1252 | 0.3567          | 0.9225 |
-| 0.1634        | 3.0   | 1878 | 0.2872          | 0.9351 |
+| 1.0803        | 1.0   | 626  | 0.8248          | 0.8274 |
+| 0.367         | 2.0   | 1252 | 0.4000          | 0.9120 |
+| 0.1894        | 3.0   | 1878 | 0.3258          | 0.9272 |
 
 
 ### Framework versions

logs/events.out.tfevents.1704408309.papipc.10956.0

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model.safetensors

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