End of training

README.md

@@ -20,7 +20,7 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1266
+- Loss: 0.1168
 - Accuracy: 0.9683
 - Precision: 0.9718
 - Recall: 0.9683
@@ -55,11 +55,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| 1.1987        | 1.0   | 16   | 0.7846          | 0.9206   | 0.9253    | 0.9206 | 0.9207 |
-| 0.5283        | 2.0   | 32   | 0.3242          | 0.9841   | 0.9851    | 0.9841 | 0.9841 |
-| 0.3106        | 3.0   | 48   | 0.1674          | 0.9683   | 0.9718    | 0.9683 | 0.9683 |
-| 0.0971        | 4.0   | 64   | 0.1073          | 0.9683   | 0.9718    | 0.9683 | 0.9683 |
-| 0.047         | 5.0   | 80   | 0.1266          | 0.9683   | 0.9718    | 0.9683 | 0.9683 |
+| 1.2759        | 1.0   | 16   | 0.7935          | 0.9048   | 0.9073    | 0.9048 | 0.9043 |
+| 0.5557        | 2.0   | 32   | 0.3849          | 0.9048   | 0.9133    | 0.9048 | 0.9029 |
+| 0.3352        | 3.0   | 48   | 0.1927          | 0.9365   | 0.9418    | 0.9365 | 0.9372 |
+| 0.1037        | 4.0   | 64   | 0.1253          | 0.9683   | 0.9718    | 0.9683 | 0.9683 |
+| 0.0465        | 5.0   | 80   | 0.1168          | 0.9683   | 0.9718    | 0.9683 | 0.9683 |
 
 
 ### Framework versions

logs/events.out.tfevents.1737588787.PC

@@ -1,3 +1,3 @@
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-size 6783
+oid sha256:50c56600944e5202f7ef63a6b23a4af949e0eed1a60155a5f737b6520a542da5
+size 8365