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: 0.3310
-- Accuracy: 0.9683
-- Precision: 0.9718
-- Recall: 0.9683
-- F1: 0.9683
+- Loss: 0.3155
+- Accuracy: 0.9524
+- Precision: 0.9542
+- Recall: 0.9524
+- F1: 0.9529
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| 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 |
+| 1.2284        | 1.0   | 16   | 0.7756          | 0.7619   | 0.7900    | 0.7619 | 0.7351 |
+| 0.5657        | 2.0   | 32   | 0.4658          | 0.9206   | 0.9235    | 0.9206 | 0.9207 |
+| 0.4123        | 3.0   | 48   | 0.3155          | 0.9524   | 0.9542    | 0.9524 | 0.9529 |
 
 
 ### Framework versions

logs/events.out.tfevents.1737435401.PC

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:12c977d675dc4583bba4aadb3225b70d097de43e8eebf51c2b11c09a600aa309
+size 6817

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e0a88e22ef3ae5d77cc7d7fd373c822573189494cfa477944a324ead1b29ecb3
+oid sha256:1c140799fbb9056eaa7aedc6c8a023ecf7807140a6aa613a9ab2ec031c6abfcf
 size 437964800