End of training

README.md

@@ -19,9 +19,9 @@ 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: 0.2447
-- Accuracy: 0.9225
-- F1: 0.9225
+- Loss: 0.2394
+- Accuracy: 0.9261
+- F1: 0.9260
 
 ## Model description
 
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 313  | 0.2626          | 0.9104   | 0.9101 |
-| 0.2954        | 2.0   | 626  | 0.2447          | 0.9225   | 0.9225 |
+| No log        | 1.0   | 313  | 0.2599          | 0.9105   | 0.9102 |
+| 0.2993        | 2.0   | 626  | 0.2394          | 0.9261   | 0.9260 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:1015884d475dd39f9211669925b4f8f317042edfe64ef30ff24e83e8aa4d972b
 size 437964800