End of training

README.md

@@ -17,8 +17,8 @@ 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: 0.5411
-- F1: 0.8931
+- Loss: 0.3204
+- F1: 0.9255
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 2.4953        | 1.0   | 626  | 1.9874          | 0.5181 |
-| 0.9025        | 2.0   | 1252 | 0.7712          | 0.8430 |
-| 0.4689        | 3.0   | 1878 | 0.5411          | 0.8931 |
+| 1.1756        | 1.0   | 626  | 0.8871          | 0.8085 |
+| 0.4121        | 2.0   | 1252 | 0.4035          | 0.9140 |
+| 0.2018        | 3.0   | 1878 | 0.3204          | 0.9255 |
 
 
 ### Framework versions

logs/events.out.tfevents.1705177716.bakuretsopc.9783.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 12046
+oid sha256:f2feef96e7179b9efb0a038a709f758845e6484dac8b235c77540a8a8d2da0a2
+size 12400