End of training

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.9269826277617849
+      value: 0.9300151549904112
 ---
 
 <!-- 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: 0.3002
-- F1: 0.9270
+- Loss: 0.3084
+- F1: 0.9300
 
 ## Model description
 
@@ -64,14 +64,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.0832        | 1.0   | 626  | 0.7932          | 0.8372 |
-| 0.3812        | 2.0   | 1252 | 0.3607          | 0.9190 |
-| 0.1797        | 3.0   | 1878 | 0.3002          | 0.9270 |
+| 1.1816        | 1.0   | 626  | 0.8296          | 0.8375 |
+| 0.3968        | 2.0   | 1252 | 0.3814          | 0.9178 |
+| 0.1924        | 3.0   | 1878 | 0.3084          | 0.9300 |
 
 
 ### Framework versions
 
 - Transformers 4.27.1
-- Pytorch 2.1.0+cu121
+- Pytorch 2.1.0+cu118
 - Datasets 2.9.0
 - Tokenizers 0.13.3

logs/events.out.tfevents.1697983994.9b59c3c5d31d.928.0

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