End of training

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.9166004571449017
+      value: 0.9320386087983313
 ---
 
 <!-- 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: 0.4727
-- F1: 0.9166
+- Loss: 0.2716
+- F1: 0.9320
 
 ## Model description
 
@@ -57,15 +57,17 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 4
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.2138        | 1.0   | 626  | 0.8649          | 0.8688 |
-| 0.4911        | 2.0   | 1252 | 0.4727          | 0.9166 |
+| 1.2659        | 1.0   | 626  | 0.8686          | 0.8289 |
+| 0.4119        | 2.0   | 1252 | 0.3670          | 0.9209 |
+| 0.1904        | 3.0   | 1878 | 0.2885          | 0.9308 |
+| 0.0963        | 4.0   | 2504 | 0.2716          | 0.9320 |
 
 
 ### Framework versions

logs/events.out.tfevents.1697113161.88cd01a8ae16.813.2

@@ -1,3 +1,3 @@
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-size 12451
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+size 12805