Training complete

README.md

@@ -21,11 +21,11 @@ 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: 0.2330
-- Precision: 0.5932
-- Recall: 0.6884
-- F1: 0.6372
-- Accuracy: 0.9224
+- Loss: 0.2337
+- Precision: 0.6047
+- Recall: 0.6849
+- F1: 0.6423
+- Accuracy: 0.9241
 
 ## Model description
 
@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 125  | 0.2613          | 0.5431    | 0.6453 | 0.5898 | 0.9172   |
-| No log        | 2.0   | 250  | 0.2313          | 0.5922    | 0.6721 | 0.6296 | 0.9236   |
-| No log        | 3.0   | 375  | 0.2330          | 0.5932    | 0.6884 | 0.6372 | 0.9224   |
+| No log        | 1.0   | 125  | 0.2692          | 0.5562    | 0.6384 | 0.5945 | 0.9188   |
+| No log        | 2.0   | 250  | 0.2334          | 0.5908    | 0.6698 | 0.6278 | 0.9234   |
+| No log        | 3.0   | 375  | 0.2337          | 0.6047    | 0.6849 | 0.6423 | 0.9241   |
 
 
 ### Framework versions

runs/Feb05_09-15-20_723ac37cef20/events.out.tfevents.1738746933.723ac37cef20.1679.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:16085c5ba9f4cbe90a018455b4f0a510fceb226961581dc0107844d378048221
-size 6939
+oid sha256:b3c42f5679e45d3c493d3be404a689928810d40c27ee58a7561ec24cef3a9e8f
+size 7293