End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.9308363539280016
+      value: 0.8136639898903447
 ---
 
 <!-- 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: 0.2978
-- F1: 0.9308
+- Loss: 1.4394
+- F1: 0.8137
 
 ## Model description
 
@@ -58,15 +58,13 @@ 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: 3
+- num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.2051        | 1.0   | 626  | 0.8669          | 0.8173 |
-| 0.3924        | 2.0   | 1252 | 0.3695          | 0.9156 |
-| 0.187         | 3.0   | 1878 | 0.2978          | 0.9308 |
+| 1.6265        | 1.0   | 626  | 1.4394          | 0.8137 |
 
 
 ### Framework versions