End of training

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0783
-- Precision: 0.6142
-- Recall: 0.8261
-- F1: 0.7046
-- Accuracy: 0.9749
+- Loss: 0.0691
+- Precision: 0.6590
+- Recall: 0.8348
+- F1: 0.7366
+- Accuracy: 0.9762
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.1022        | 1.0   | 1114 | 0.0938          | 0.5462    | 0.7536 | 0.6334 | 0.9704   |
-| 0.0635        | 2.0   | 2228 | 0.1003          | 0.6086    | 0.8609 | 0.7131 | 0.9758   |
-| 0.0504        | 3.0   | 3342 | 0.0783          | 0.6142    | 0.8261 | 0.7046 | 0.9749   |
+| 0.0963        | 1.0   | 1114 | 0.0834          | 0.5403    | 0.7391 | 0.6242 | 0.9723   |
+| 0.0643        | 2.0   | 2228 | 0.0858          | 0.6242    | 0.8522 | 0.7206 | 0.9779   |
+| 0.0478        | 3.0   | 3342 | 0.0691          | 0.6590    | 0.8348 | 0.7366 | 0.9762   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
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 size 430980265