End of training

README.md

@@ -18,8 +18,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.9996
-- F1: 0.6780
+- Loss: 0.4089
+- F1: 0.9206
 
 ## Model description
 
@@ -44,13 +44,15 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 3.4547        | 1.0   | 313  | 1.9996          | 0.6780 |
+| 3.265         | 1.0   | 313  | 1.2043          | 0.7871 |
+| 0.6877        | 2.0   | 626  | 0.5369          | 0.9008 |
+| 0.4121        | 3.0   | 939  | 0.4089          | 0.9206 |
 
 
 ### Framework versions

logs/events.out.tfevents.1734165614.desktop-s2.7640.0

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