Model save

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [almanach/camembert-base](https://huggingface.co/almanach/camembert-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4950
-- Precision: 0.9683
-- Recall: 0.9737
-- F1: 0.9710
-- Accuracy: 0.9726
+- Loss: 0.5023
+- Precision: 0.9645
+- Recall: 0.9718
+- F1: 0.9681
+- Accuracy: 0.9709
 
 ## Model description
 
@@ -55,7 +55,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.6273        | 1.0   | 1782 | 0.4950          | 0.9683    | 0.9737 | 0.9710 | 0.9726   |
+| 0.6427        | 1.0   | 1782 | 0.5023          | 0.9645    | 0.9718 | 0.9681 | 0.9709   |
 
 
 ### Framework versions