Training complete

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-large-cased](https://huggingface.co/bert-large-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2679
-- Precision: 0.5644
-- Recall: 0.6628
-- F1: 0.6096
-- Accuracy: 0.9276
+- Loss: 0.2253
+- Precision: 0.6260
+- Recall: 0.6749
+- F1: 0.6495
+- Accuracy: 0.9376
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.4603        | 1.0   | 746  | 0.2689          | 0.4275    | 0.6337 | 0.5105 | 0.9085   |
-| 0.2454        | 2.0   | 1492 | 0.2700          | 0.5389    | 0.5640 | 0.5511 | 0.9186   |
-| 0.0945        | 3.0   | 2238 | 0.2679          | 0.5644    | 0.6628 | 0.6096 | 0.9276   |
+| 0.4658        | 1.0   | 746  | 0.2568          | 0.5354    | 0.5597 | 0.5473 | 0.9154   |
+| 0.245         | 2.0   | 1492 | 0.2295          | 0.6059    | 0.6708 | 0.6367 | 0.9297   |
+| 0.0948        | 3.0   | 2238 | 0.2253          | 0.6260    | 0.6749 | 0.6495 | 0.9376   |
 
 
 ### Framework versions