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: 0.3176
-- F1: 0.9272
+- Loss: 0.5411
+- F1: 0.8931
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.1898        | 1.0   | 626  | 0.8510          | 0.8120 |
-| 0.3985        | 2.0   | 1252 | 0.3918          | 0.9211 |
-| 0.1827        | 3.0   | 1878 | 0.3176          | 0.9272 |
+| 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 |
 
 
 ### Framework versions

logs/events.out.tfevents.1705160512.bakuretsopc.9783.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 12046
+oid sha256:93d3572bfbae22d9ad12f95da9e6308ac181ec6c7e7c2a88ae4cc792a63223a1
+size 12400