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: 0.3077
-- F1: 0.9291
+- Loss: 0.3151
+- F1: 0.9264
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.1064        | 1.0   | 626  | 0.7924          | 0.8520 |
-| 0.3649        | 2.0   | 1252 | 0.3757          | 0.9162 |
-| 0.1735        | 3.0   | 1878 | 0.3077          | 0.9291 |
+| 1.1423        | 1.0   | 626  | 0.8247          | 0.8317 |
+| 0.3874        | 2.0   | 1252 | 0.3783          | 0.9191 |
+| 0.1911        | 3.0   | 1878 | 0.3151          | 0.9264 |
 
 
 ### Framework versions

logs/events.out.tfevents.1729165877.SH-IDC1-10-140-0-250.308357.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 12768
+oid sha256:61b94180956492a371e3fa13f9c1138c56d2bba065260a741043796d326711ea
+size 13439