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-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3995
-- Accuracy: 0.9365
-- Precision: 0.9402
-- Recall: 0.9365
-- F1: 0.9371
+- Loss: 0.3310
+- Accuracy: 0.9683
+- Precision: 0.9718
+- Recall: 0.9683
+- F1: 0.9683
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| 1.1801        | 1.0   | 16   | 0.7827          | 0.6984   | 0.8215    | 0.6984 | 0.6734 |
-| 0.6041        | 2.0   | 32   | 0.4945          | 0.9048   | 0.9126    | 0.9048 | 0.9048 |
-| 0.4642        | 3.0   | 48   | 0.3995          | 0.9365   | 0.9402    | 0.9365 | 0.9371 |
+| 1.2965        | 1.0   | 16   | 0.8566          | 0.7778   | 0.7912    | 0.7778 | 0.7667 |
+| 0.63          | 2.0   | 32   | 0.4473          | 0.9365   | 0.9405    | 0.9365 | 0.9364 |
+| 0.4101        | 3.0   | 48   | 0.3310          | 0.9683   | 0.9718    | 0.9683 | 0.9683 |
 
 
 ### Framework versions

logs/events.out.tfevents.1737410426.PC

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3b2c509c08a055bbbe6c955c60ab882cb82ba2c6546cd4f0369317f31b1f0666
-size 4618
+oid sha256:7c4e66e50b5422f9b8452219262f52f9469f754efe178f3e00e33a80036edc65
+size 6817

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f1d2b0cc35d494edee96bb51ba2a20342ff8fb10dcc6b1485b8f3cca5e971824
+oid sha256:e0a88e22ef3ae5d77cc7d7fd373c822573189494cfa477944a324ead1b29ecb3
 size 437964800